{"count":64,"next":"https://database.espon.eu/api/select/project-archives/?limit=50&offset=50","previous":null,"results":[{"id":2336,"name":"LAKES - Integrated development opportunities of large lakes in Europe","abstract":"# ESPON project package: 'LAKES - Integrated development opportunities of large lakes in Europe'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: LAKES - Integrated development opportunities of large lakes in Europe\r\n- Url: https://www.espon.eu/lakes\r\n- Id: 63\r\n- Update: Nov. 8, 2021, 9:23 a.m.\r\n\r\n\r\n### Abstract\r\n\r\nESPON LAKES has collected data in the three lake stakeholder regions, i.e. surroundings of Lake Balaton, Lake Vänern and Lake Constance. \r\r\nIt especially features data on demography, economy, labour market, tourism, and other topics specific to some regions (e.g. freight transport on Lake Vänern).\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\nNone\r\n\r\n\r\n## Other Data\r\n\r\n- Lake Constance region (Economy, Population, Tourism, Water Quality)\r\n  - other-data/Lakes_DB_Constance_ECONOMY.xls: Lakes_DB_Constance_ECONOMY\r\n  - other-data/Lakes_DB_Constance_POPULATION.xls: Lakes_DB_Constance_POPULATION\r\n  - other-data/Lakes_DB_Constance_TOURISM.zip: Lakes_DB_Constance_TOURISM\r\n  - other-data/Lakes_DB_Constance_WATER_QUALITY.xls: Lakes_DB_Constance_WATER_QUALITY\r\n- Lake Vänern region (Economy, Freight Transport, Population, Tourism)\r\n  - other-data/Lakes_DB_Vanern_ECONOMY.xls: Lakes_DB_Vanern_ECONOMY\r\n  - other-data/Lakes_DB_Vanern_FREIGHT.xlsx: Lakes_DB_Vanern_FREIGHT\r\n  - other-data/Lakes_DB_Vanern_POPULATION.xls: Lakes_DB_Vanern_POPULATION\r\n  - other-data/Lakes_DB_Vanern_TOURISM.zip: Lakes_DB_Vanern_TOURISM\r\n- Lake Balaton region (Economy, Labour Market, Population, Tourism, Water Quality)\r\n  - other-data/Lakes_DB_Balaton_ECONOMY.xls: Lakes_DB_Balaton_ECONOMY\r\n  - other-data/Lakes_DB_Balaton_LABOUR_MARKET.xls: Lakes_DB_Balaton_LABOUR_MARKET\r\n  - other-data/Lakes_DB_Balaton_POPULATION.xls: Lakes_DB_Balaton_POPULATION\r\n  - other-data/Lakes_DB_Balaton_TOURISM.zip: Lakes_DB_Balaton_TOURISM\r\n  - other-data/Lakes_DB_Balaton_WATER_QUALITY.xls: Lakes_DB_Balaton_WATER_QUALITY\r\n\r\n","project":"LAKES - Integrated development opportunities of large lakes in Europe","project_abstract":"ESPON LAKES has collected data in the three lake stakeholder regions, i.e. surroundings of Lake Balaton, Lake Vänern and Lake Constance. \r\nIt especially features data on demography, economy, labour market, tourism, and other topics specific to some regions (e.g. freight transport on Lake Vänern).","project_url":"https://www.espon.eu/lakes","type":"Project Package","publication_date":null,"archive":[{"name":"project_lakes-integrated-development-opportunities-of-large-lakes-in-europe.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/2336/project_lakes-integrated-development-opportunities-of-large-lakes-in-europe.zip","file_size":"1.6 MB"}],"status":"Published"},{"id":1174,"name":"BRIDGES - Territories with Geographical Specificities","abstract":"# ESPON project package: 'BRIDGES - Territories with Geographical Specificities'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: BRIDGES - Territories with Geographical Specificities\r\n- Url: https://www.espon.eu/geographical-specifities\r\n- Id: 27\r\n- Update: Nov. 2, 2020, 11:51 a.m.\r\n\r\n\r\n### Abstract\r\n\r\nRegions with specific territorial features have received increasing attention in recent years, most notably in article 174 of the Treaty on the Functioning of the European Union (TFEU). Key policy documents identify the specific types of territories in two ways: as having particular challenges, and as having particular assets, many of benefit to Europe as a whole. Addressing the opportunities and challenges of specific types of territories implies that these territories need to be considered in context rather than ‘singled out’. In general, territorial cooperation seems to be a natural component of policies targeting geographically specific areas, in view of ensuring a sustainable development based on regional comparative advantages. The European level has an obvious role to play in promoting territorial cooperation beyond national borders. Gaining a better understanding of the territories with geographic specificities and their relevant challenges and opportunities is therefore crucial for the European policy dialogue and debate for developing Cohesion Policy post-2020 and a renewed Territorial Agenda for Europe which is due to be adopted by 2021.\r\r\nThe following types of territories constitute the main focus for this project: sparsely populated regions; mountain regions; Islands, including island-states and coastal areas.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_1124_a4-2_dcf_csv_r7vGtzL.zip: Expected annual damage from coastal flooding - 2050, 2100 (A4-2_dcf)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- Evolution of population potential 2001-2017 (grid data)\r\n  - other-data/Grid_PopPot_Metadata_2020.xlsx: Population potential 2001-2011-2017 (grid data) - metadata\r\n  - other-data/Population_Potential_2001-2011-2017.zip: Population potential 2001-2011-2017 (grid data)\r\n- Sparsely populated areas and areas at risk of becoming sparsely populated 2017 (grid data)\r\n  - other-data/PopPot_SPA_Risk_Metadata_2017.xlsx: SPA and areas at risk of becoming SPA (2017) - metadata\r\n  - other-data/SPA_AreasAtRisk_2017.zip: SPA and areas at risk of becoming SPA (2017)\r\n- Islands by administrative status\r\n  - other-data/LAU_Islands_admLevel.zip: Islands admin status\r\n- Municipal typology based on Potential Urban Strategic Horizons (PUSH) in 2018\r\n  - other-data/ALL_PUSH.gpkg: PUSH municipal typology\r\n- Evolution of population potential 2001-2011 (grid data)\r\n  - other-data/Grid_PopPot_Metadata.xlsx: Population potential 2001-2011 - metadata\r\n  - other-data/Grid_PopPot.shp.zip: Population potential 2001-2011 - data\r\n- Sparsely populated areas and areas at risk of becoming sparsely populated 2011 (grid data)\r\n  - other-data/PopPot_SPA_Risk.shp.zip: SPA and at risk of becoming SPA - data\r\n  - other-data/PopPot_SPA_Risk_Metadata.xlsx: SPA and at risk of becoming SPA - metadata\r\n- PSO lines in air transport 2018 (relational data)\r\n  - other-data/PSO_FlightRoutes_Metadata.xlsx: PSO Flight routes - metadata\r\n  - other-data/PSO_FlightRoutes.shp.zip: PSO Flight routes - data\r\n- High nature value farmland surface per mountain region\r\n  - other-data/MR-4-2_GIS.zip: HNV surface - GIS\r\n  - other-data/MR-4-2_metadata.xlsx: HNV surface - metadata\r\n  - other-data/MR-4-2_supp_info.docx: HNV surface - supp. info\r\n- Land cover distribution by transnational mountain massif\r\n  - other-data/MR-4-3_GIS.zip: CLC surface - GIS\r\n  - other-data/MR-4-3_metadata.xlsx: CLC surface - metadata\r\n- Compound flood potential index for flash flood\r\n  - other-data/MR-5-1_GIS.zip: flash floods - GIS\r\n  - other-data/MR-5-1_metadata.xlsx: flash floods - metadata\r\n- Compound flood potential index for river flood\r\n  - other-data/MR-5-2_GIS.zip: River flood - GIS\r\n  - other-data/MR-5-2_metadata.xlsx: River flood - metadata\r\n- Projected change in sea level rise\r\n  - other-data/MR-7-3_metadata.xlsx: SLR - metadata\r\n  - other-data/MR-7-3__GIS.zip: SLR - GIS\r\n- Renewable and fossil energy production in non-inter-connected Greek islands (2017)\r\n  - other-data/A1-9-1_metadata.xlsx: Ele prod Gr-isl - metadata\r\n  - other-data/A1-_9-1_GIS.zip: Ele prod Gr-isl - GIS\r\n- Installed electrical capacity in coastal zones\r\n  - other-data/A1-9-3_GIS.zip: ele capacity wind - GIS\r\n  - other-data/A1-9-3_metadata.xlsx: ele capacity wind - metadata\r\n- Installed electrical capacity in mountain areas\r\n  - other-data/A1-9-4_GIS.zip: ele capacity hydro - GIS\r\n  - other-data/A1-9-4_metadata.xlsx: ele capacity hydro - metadata\r\n- Projected flood recurrence in Danube Delta (2050 - compared to 1971-2000)\r\n  - other-data/MR-7-4_GIS.zip: flood Danube - GIS\r\n  - other-data/MR-7-4_metadata.xlsx: flood Danube - metadata\r\n\r\n","project":"BRIDGES - Territories with Geographical Specificities","project_abstract":"Regions with specific territorial features have received increasing attention in recent years, most notably in article 174 of the Treaty on the Functioning of the European Union (TFEU). Key policy documents identify the specific types of territories in two ways: as having particular challenges, and as having particular assets, many of benefit to Europe as a whole. Addressing the opportunities and challenges of specific types of territories implies that these territories need to be considered in context rather than ‘singled out’. In general, territorial cooperation seems to be a natural component of policies targeting geographically specific areas, in view of ensuring a sustainable development based on regional comparative advantages. The European level has an obvious role to play in promoting territorial cooperation beyond national borders. Gaining a better understanding of the territories with geographic specificities and their relevant challenges and opportunities is therefore crucial for the European policy dialogue and debate for developing Cohesion Policy post-2020 and a renewed Territorial Agenda for Europe which is due to be adopted by 2021.\r\nThe following types of territories constitute the main focus for this project: sparsely populated regions; mountain regions; Islands, including island-states and coastal areas.","project_url":"https://www.espon.eu/geographical-specifities","type":"Project Package","publication_date":null,"archive":[{"name":"project_bridges-territories-with-geographical-specificities_h3Qqf0Y.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/1174/project_bridges-territories-with-geographical-specificities_h3Qqf0Y.zip","file_size":"958.9 MB"}],"status":"Published"},{"id":1149,"name":"GRETA - Green Infrastructure: Enhancing biodiversity and ecosystem services for territorial development","abstract":"# ESPON project package: 'GRETA - Green Infrastructure: Enhancing biodiversity and ecosystem services for territorial development'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: GRETA - Green Infrastructure: Enhancing biodiversity and ecosystem services for territorial development\r\n- Url: https://www.espon.eu/green-infrastructure\r\n- Id: 25\r\n- Update: Dec. 12, 2019, 4:16 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nGreen Infrastructures (GI) are considered a benefit, inter alia, for territorial development because they provide multiple functions on the same spatial area. The underlying principle of GI is that the same area of land can offer many environmental, social, cultural and economic benefits at the same time, provided its ecosystems are in a healthy condition. However, valuable European ecosystems are being degraded by land fragmentation, urban expansion and the building of transport and energy infrastructures. This affects habitats and species and reduces the spatial and functional coherence of the landscape. Degraded ecosystems have lower species richness and are unable to offer the same services as healthy ecosystems. Ecosystem services cover the benefits that can be derived from ecosystems, including among others the provision by nature of food, materials, clean water, clean air, climate regulation, flood prevention, pollination and recreation.\r\r\nPolicy questions:\r\r\n- How do European regions and cities fare in offering access to GI and ecosystem services, and meeting the existing demand for regulating, provisioning and cultural services offered by GI and ecosystems? In case demands are not sufficiently met, what are the consequences?\r\r\n- What are the potential effects, both positive and negative ones, of GI and ecosystem services on the development of regions and cities? Which territories can benefit most of such potential?\r\r\n- How do European regions and cities look at the concept of GI and ecosystem services? What kind of knowledge do they need to anticipate and benefit from this opportunity?\r\r\n- To which degree is GI rewarding from an economic point of view, particularly in a long-term perspective? What could policy makers do to overcome the potential resistance of the private sector to GI investment?\r\r\n- How can GI be further integrated in spatial planning and territorial development? How can GI contribute to improve welfare in urban regions (e.g. by creating or restoring recreational and leisure parks, multiple-use forest parks and trekking networks)? How can national, regional and local authorities as well as the private sector be supported to develop GI in the most effective way and to invest in ecosystem services?\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_1137_gi_sd_fl_csv_dMO3vKf.zip: Green Infrastructure balancing supply and demand for flood regulation (GI_SD_fl)\r\n- main-data/ind_1034_mfgi_ind_csv.zip: Green infrastructure - multifunctionality (mfGI_ind)\r\n- main-data/non-std/ind_1048_rastermf.zip: Green infrastructure - multifunctionality (grid data) (rasterMF)\r\n- main-data/ind_1050_gi_rel_csv_H7RF59t.zip: Predominant relations in the Green Infrastructure network between ecosystem services  (GI_rel)\r\n- main-data/ind_1025_spgi_ind_csv.zip: Green infrastructure - spatial distribution (spGI_ind)\r\n- main-data/non-std/ind_1047_rastergi.zip: Green infrastructure - spatial distribution (grid data) (rasterGI)\r\n- main-data/ind_1023_chaguacc_csv_HmiSakj.zip: Changes of Green Urban Areas (CHAGUACC)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- Ratio between green urban areas inside the core city and the FUA\r\n  - other-data/QGIS_Map11.zip: Ratio between green urban areas inside the core city and the FUA\r\n- Share of green urban areas (for core city, FUAs and FUAs without core city)\r\n  - other-data/QGIS_Map10.zip: Share of green urban areas (for core city)\r\n  - other-data/QGIS_Map1_Annex.zip: Share of green urban areas (for FUAs)\r\n  - other-data/QGIS_Map2_Annex.zip: Share of green urban areas (for FUAs without core city)\r\n- Contribution of protected ‘hubs’ to the total area of potential GI network at landscape level\r\n  - other-data/hubs2GI_nuts-version2013-level2_3_xp6WbgB.zip: hubs2GI_nuts-version2013-level2_3_xp6WbgB.zip\r\n- Amount of hubs included in potential GI network at landscape level\r\n  - other-data/hubsInGI_nuts-version2013-level2_3.zip: hubsInGI_nuts-version2013-level2_3.zip\r\n- Cross-border elements of potential GI network at landscape level\r\n  - other-data/crbrdrGI_nuts-version2013-level2_3.zip: crbrdrGI_nuts-version2013-level2_3.zip\r\n- Contribution of natural and semi-natural areas to potential GI network at landscape level\r\n  - other-data/ctnt2GI_nuts-version2013-level2_3.zip: ctnt2GI_nuts-version2013-level2_3.zip\r\n- Potential GI network serving the purposes of biodiversity policies at landscape level\r\n  - other-data/GI2bioPo_nuts-version2013-level2_3.zip: GI2bioPo_nuts-version2013-level2_3.zip\r\n- Potential GI network serving the purposes of climate change and disaster risk reduction policies at landscape level\r\n  - other-data/GI2drrPo_nuts-version2013-level2_3.zip: GI2drrPo_nuts-version2013-level2_3.zip\r\n- Potential GI network serving the purposes of water policies at landscape level\r\n  - other-data/GI2wfdPo_nuts-version2013-level2_3.zip: GI2wfdPo_nuts-version2013-level2_3.zip\r\n\r\n","project":"GRETA - Green Infrastructure: Enhancing biodiversity and ecosystem services for territorial development","project_abstract":"Green Infrastructures (GI) are considered a benefit, inter alia, for territorial development because they provide multiple functions on the same spatial area. The underlying principle of GI is that the same area of land can offer many environmental, social, cultural and economic benefits at the same time, provided its ecosystems are in a healthy condition. However, valuable European ecosystems are being degraded by land fragmentation, urban expansion and the building of transport and energy infrastructures. This affects habitats and species and reduces the spatial and functional coherence of the landscape. Degraded ecosystems have lower species richness and are unable to offer the same services as healthy ecosystems. Ecosystem services cover the benefits that can be derived from ecosystems, including among others the provision by nature of food, materials, clean water, clean air, climate regulation, flood prevention, pollination and recreation.\r\nPolicy questions:\r\n- How do European regions and cities fare in offering access to GI and ecosystem services, and meeting the existing demand for regulating, provisioning and cultural services offered by GI and ecosystems? In case demands are not sufficiently met, what are the consequences?\r\n- What are the potential effects, both positive and negative ones, of GI and ecosystem services on the development of regions and cities? Which territories can benefit most of such potential?\r\n- How do European regions and cities look at the concept of GI and ecosystem services? What kind of knowledge do they need to anticipate and benefit from this opportunity?\r\n- To which degree is GI rewarding from an economic point of view, particularly in a long-term perspective? What could policy makers do to overcome the potential resistance of the private sector to GI investment?\r\n- How can GI be further integrated in spatial planning and territorial development? How can GI contribute to improve welfare in urban regions (e.g. by creating or restoring recreational and leisure parks, multiple-use forest parks and trekking networks)? How can national, regional and local authorities as well as the private sector be supported to develop GI in the most effective way and to invest in ecosystem services?","project_url":"https://www.espon.eu/green-infrastructure","type":"Project Package","publication_date":null,"archive":[{"name":"project_greta-green-infrastructure-enhancing-biodiversity-and-ecosystem-serv_6OtTtSG.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/1149/project_greta-green-infrastructure-enhancing-biodiversity-and-ecosystem-serv_6OtTtSG.zip","file_size":"124.3 MB"}],"status":"Published"},{"id":1419,"name":"HERITAGE - The Material Cultural Heritage as a Strategic Territorial Development Resource","abstract":"# ESPON project package: 'HERITAGE - The Material Cultural Heritage as a Strategic Territorial Development Resource'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: HERITAGE - The Material Cultural Heritage as a Strategic Territorial Development Resource\r\n- Url: https://www.espon.eu/cultural-heritage\r\n- Id: 35\r\n- Update: Nov. 22, 2019, 11:07 a.m.\r\n\r\n\r\n### Abstract\r\n\r\nThe service shall attempt to quantify the contribution (impact) of material cultural heritage to economical development in the stakeholder countries and regions over the past 5 years. Building on the work done by the European Heritage Heads Forum’s Economic Task Force and the European Commission, this research activity will define a list of economic sectors on which the material cultural heritage has an impact and perform data collection on the selected impact indicators.\r\r\n\r\r\nThe main outcome should be a common theoretical framework, defining the most important economic sectors on which the material cultural heritage has an impact and developing the empirical evidence of such impact. This research activity will also develop a blueprint or in other words a step-by-step plan on how to build a monitoring system in the stakeholder countries that includes all actions necessary to obtain and maintain data for the defined impact indicators in the future.\r\r\n\r\r\nThis study is named as one of the key studies by the “European Framework for Action on Cultural Heritage” (adopted by the European Commission in December 2018). Economic statistics and indicators produced will be useful for understanding the economic contribution of the material cultural heritage. Overall the results will promote evidence-based decision making related to protection and promotion of material cultural heritage.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_1393_allmchn2_csv_acmyuBb.zip: Total number of material cultural heritage objects (ALLMCHN2)\r\n- main-data/ind_1395_pre1919d_csv.zip: Number of dwellings constructed before 1919 (PRE1919D)\r\n- main-data/ind_1399_tourmcho_csv.zip: Number of leisure tourists per material cultural heritage object (TOURMCHO)\r\n- main-data/ind_1397_tour2016_csv_liaxzIO.zip: Number of leisure tourists (TOUR2016)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- Estimated MCH employment (FTE) of the architecture sector\r\n  - other-data/Estimated_MCH_employment_FTE_of_the_architecture_sector.xlsx: Estimated MCH employment (FTE) of the architecture sector\r\n- Estimated MCH turnover of the architecture sector\r\n  - other-data/Estimated_MCH_turnover_of_the_architecture_sector.xlsx: Estimated MCH turnover of the architecture sector\r\n- Estimated MCH GVA of the architecture sector\r\n  - other-data/Estimated_MCH_GVA_of_the_architecture_sector.xlsx: Estimated MCH GVA of the architecture sector\r\n- Persons employed in libraries, archives, museums and other cultural activities\r\n  - other-data/Persons_employed_in_libraries_archives_museums_and_other_cultural_activities.xlsx: Persons employed in libraries, archives, museums and other cultural activities\r\n- Estimated MCH employment (FTE) of the construction sector\r\n  - other-data/Estimated_MCH_employment_FTE_of_the_construction_sector.xlsx: Estimated MCH employment (FTE) of the construction sector\r\n- Estimated MCH turnover of the construction sector\r\n  - other-data/Estimated_MCH_turnover_of_the_construction_sector.xlsx: Estimated MCH turnover of the construction sector\r\n- Estimated MCH GVA of the construction sector\r\n  - other-data/Estimated_MCH_GVA_of_the_construction_sector.xlsx: Estimated MCH GVA of the construction sector\r\n- Estimated MCH employment (FTE) of the real estate sector\r\n  - other-data/Estimated_MCH_employment_FTE_of_the_construction_sector.xlsx: Estimated MCH employment (FTE) of the real estate sector\r\n- Estimated MCH turnover of the total real estate sector\r\n  - other-data/Estimated_MCH_turnover_of_the_real_estate_sector.xlsx: Estimated MCH turnover of the real estate sector\r\n- Estimated MCH GVA of the real estate sector\r\n  - other-data/Estimated_MCH_GVA_of_the_real_estate_sector.xlsx: Estimated MCH GVA of the real estate sector\r\n- Estimated MCH employment (FTE) of the insurance sector\r\n  - other-data/Estimated_MCH_employment_FTE_of_the_insurance_sector.xlsx: Estimated MCH employment (FTE) of the insurance sector\r\n- Estimated MCH GVA of the insurance sector\r\n  - other-data/Estimated_MCH_GVA_of_the_insurance_sector.xlsx: Estimated MCH GVA of the insurance sector\r\n- Estimated MCH turnover of the total insurance sector\r\n  - other-data/Estimated_MCH_turnover_of_the_insurance_sector.xlsx: Estimated MCH turnover of the total insurance sector\r\n- Estimated MCH GVA of the total ICT sector\r\n  - other-data/Estimated_MCH_GVA_of_the_ICT_sector.xlsx: Estimated MCH GVA of the total ICT sector\r\n- Estimated MCH employment (FTE) of the ICT sector\r\n  - other-data/Estimated_MCH_employment_FTE_of_the_ICT_sector.xlsx: Estimated MCH employment (FTE) of the ICT sector\r\n- Estimated MCH turnover of the ICT sector\r\n  - other-data/Estimated_MCH_turnover_of_the_ICT_sector.xlsx: Estimated MCH turnover of the ICT sector\r\n- Estimated leisure tourism employment (FTE) of total tourism\r\n  - other-data/Estimated_leisure_tourism_employment_FTE_of_total_tourism.xlsx: Estimated leisure tourism employment (FTE) of total tourism\r\n- Estimated leisure tourism turnover of total tourism\r\n  - other-data/Estimated_leisure_tourism_turnover_of_total_tourism_LAuDtTh.xlsx: Estimated leisure tourism turnover of total tourism\r\n- Estimated GVA leisure tourism of total tourism\r\n  - other-data/Estimated_leisure_tourism_GVA_of_total_tourism.xlsx: Estimated GVA leisure tourism of total tourism\r\n- Estimated salary costs and estimated expenditure of archaeological companies and other institutions\r\n  - other-data/Estimated_salary_costs_and_total_expenditure_of_archaeological_companies_an_ROxYSO7.xlsx: Estimated salary costs and total expenditure of archaeological companies and other institu\r\n- Estimated turnover of museums\r\n  - other-data/Estimated_turnover_of_museums.xlsx: Estimated turnover of museums\r\n- People employed in museums, libraries and archives as share of total employment\r\n  - other-data/People_employed_in_museums_libraries_and_archives_as_share_of_total_employment.xlsx: People employed in museums, libraries and archives as share of total employment\r\n- Expenditure of tourists travelling for holidays, leisure and recreation\r\n  - other-data/Expenditure_of_tourists_travelling_for_holidays_leisure_and_recreation.xlsx: Expenditure of tourists travelling for holidays, leisure and recreation\r\n- Estimated annual expenditure of museums on website maintenance\r\n  - other-data/Estimated_annual_expenditure_of_museums_on_website_maintenance.xlsx: Estimated annual expenditure of museums on website maintenance\r\n- Estimated structural outsourced expenses in digitalisation of archives, libraries and museums\r\n  - other-data/Estimated_structural_outsourced_expenses_in_digitalisation_of_archives_libr_NlUUSZc.xlsx: Estimated structural outsourced expenses in digitalisation of archives, libraries and museums\r\n- Estimated annual expenditure of archives, libraries and other MCH on website maintainance\r\n  - other-data/Estimated_annual_expenditure_of_archives_libraries_and_other_MCH_on_website_ZND5fIe.xlsx: Estimated annual expenditure of archives, libraries and other MCH on website maintainance\r\n- Estimated yearly incidental outsourced expenses in digitalisation of MCH\r\n  - other-data/Estimated_annual_expenditure_of_archives_libraries_and_other_MCH_on_website_0JYEPSl.xlsx: Estimated yearly incidental outsourced expenses in digitalisation of MCH\r\n- Estimated total outsourced expenses in digitalisation of archives, libraries and museums\r\n  - other-data/Estimated_total_outsourced_expenses_in_digitalisation_of_archives_libraries_x2TfGdP.xlsx: Estimated total outsourced expenses in digitalisation of archives, libraries and museums\r\n- Budget for conservation, restoration, repair and maintenance spent by government\r\n  - other-data/Budget_for_conservation_restoration_repair_and_maintenance_spent_by_government.xlsx: Budget for conservation, restoration, repair and maintenance spent by government\r\n- Estimated volunteers’ contribution to museums activities\r\n  - other-data/Estimated_volunteers_contribution_to_museums_activities.xlsx: Estimated volunteers’ contribution to museums activities\r\n- Estimated number of archaeologists\r\n  - other-data/Estimated_number_of_archaeologists.xlsx: Estimated number of archaeologists\r\n- Estimated average gross salary of archaeologists\r\n  - other-data/Estimated_average_gross_salary_of_archaeologists.xlsx: Estimated average gross salary of archaeologists\r\n- Number of tourists\r\n  - other-data/Number_of_tourists.xlsx: Number of tourists\r\n- Turnover of museums\r\n  - other-data/Turnover_of_museums.xlsx: Turnover of museums\r\n- Total tourists’ spending\r\n  - other-data/Total_tourists_spending.xlsx: Total tourists’ spending\r\n- Employees (FTE) in construction\r\n  - other-data/Employees_FTE_in_construction.xlsx: Employees (FTE) in construction\r\n- Employees (FTE) in the non-life insurance sector\r\n  - other-data/Employees_FTE_in_the_non-life_insurance_sector.xlsx: Employees (FTE) in the non-life insurance sector\r\n- Employees (FTE) in the real estate sector\r\n  - other-data/Employees_FTE_in_the_real_estate_sector.xlsx: Employees (FTE) in the real estate sector\r\n- GVA construction\r\n  - other-data/GVA_in_construction.xlsx: GVA construction\r\n- GVA of the non-life insurance sector\r\n  - other-data/GVA_in_the_non-life_insurance_sector.xlsx: GVA of the non-life insurance sector\r\n- GVA in the real estate sector\r\n  - other-data/GVA_in_the_real_estate_sector.xlsx: GVA in the real estate sector\r\n- Turnover in construction\r\n  - other-data/Turnover_in_construction.xlsx: Turnover in construction\r\n- Turnover in the real estate sector\r\n  - other-data/Turnover_in_the_real_estate_sector.xlsx: Turnover in the real estate sector\r\n- Turnover in the non-life insurance sector\r\n  - other-data/Turnover_in_the_non-life_insurance_sector.xlsx: Turnover in the non-life insurance sector\r\n- Turnover of museums, library and archives activities\r\n  - other-data/Turnover_of_museums_library_and_archives_activities.xlsx: Turnover of museums, library and archives activities\r\n- Sale of pre-1919 buildings - Slovenia\r\n  - other-data/Sale_of_pre-1919_buildings_-_Slovenia.xlsx: Sale of pre-1919 buildings - Slovenia\r\n- Number of real estate transactions\r\n  - other-data/Number_of_real_estate_transactions.xlsx: Number of real estate transactions\r\n- GVA of museums, library and archives activities\r\n  - other-data/GVA_of_museums_library_and_archives_activities.xlsx: GVA of museums, library and archives activities\r\n- GVA of archaeological activities\r\n  - other-data/GVA_of_archaeological_activities.xlsx: GVA of archaeological activities\r\n- Government expenditure in cultural service\r\n  - other-data/Government_expenditure_in_cultural_services.xlsx: Government expenditure in cultural service\r\n- Employment (FTE) in the ICT sector\r\n  - other-data/Employment_FTE_in_the_ICT_sector.xlsx: Employment (FTE) in the ICT sector\r\n- Turnover in the ICT sector\r\n  - other-data/Turnover_in_the_ICT_sector.xlsx: Turnover in the ICT sector\r\n- GVA in the ICT sector\r\n  - other-data/GVA_in_the_ICT_sector.xlsx: GVA in the ICT sector\r\n- Number of museums, libraries, archives and heritage sites relevant for the ICT sector\r\n  - other-data/Number_of_museums_libraries_archives_and_heritage_sites_relevant_for_the_ICT_sector.xlsx: Number of museums, libraries, archives and heritage sites relevant for the ICT sector\r\n- Share of expenditure done by tourists travelling for holidays, leisure and recreation purposes\r\n  - other-data/Share_of_expenditure_done_by_tourists_travelling_for_holidays_leisure_and_r_fJME2HC.xlsx: Share of expenditure done by tourists travelling for holidays, leisure and recreation purposes\r\n- Employees (FTE) in architectural activities\r\n  - other-data/Employees_FTE_in_architectural_activities.xlsx: Employees (FTE) in architectural activities\r\n- GVA in architectural activities\r\n  - other-data/GVA_in_architectural_activities.xlsx: GVA in architectural activities\r\n- Turnover in architectural activities\r\n  - other-data/Turnover_in_architectural_activities.xlsx: Turnover in architectural activities\r\n- Coefficients to calculate the share of the main indicators for architectural activities that can be attributed to MCH\r\n  - other-data/Coefficients_to_calculate_the_share_of_the_main_indicators_for_architectura_tEwGasN.xlsx: Coefficients to calculate the share of the main indicators for architectural activities that can be\r\n- Number of tourists that have consumed MCH in Norway and their spending\r\n  - other-data/Number_of_tourists_that_have_consumed_MCH_in_Norway_and_their_spending.xlsx: Number of tourists that have consumed MCH in Norway and their spending\r\n- Expenditure of tourists travelling to Brussels and Flanders for leisure\r\n  - other-data/Expenditure_of_tourists_travelling_to_Brussels_and_Flanders_for_leisure.xlsx: Expenditure of tourists travelling to Brussels and Flanders for leisure\r\n- Turnover, GVA and FTE of accommodation and food service activities sector\r\n  - other-data/Turnover_GVA_and_FTE_of_accommodation_and_food_service_activities_sector.xlsx: Turnover, GVA and FTE of accommodation and food service activities sector\r\n- Leisure tourists spending and contribution to sector turnover\r\n  - other-data/Leisure_tourists_spending_and_contribution_to_sector_turnover.xlsx: Leisure tourists spending and contribution to sector turnover\r\n- Average share of spending in accommodation and food and beverages for leisure tourists\r\n  - other-data/Average_share_of_spending_in_accommodation_and_food_and_beverages_for_leisu_Asf3X7H.xlsx: Average share of spending in accommodation and food and beverages for leisure tourists\r\n- Estimated impact of leisure tourism on sector GVA\r\n  - other-data/Estimated_impact_of_leisure_tourism_on_sector_GVA.xlsx: Estimated impact of leisure tourism on sector GVA\r\n- Estimated leisure tourism contribution to FTE in accommodation and food and beverage\r\n  - other-data/Estimated_leisure_tourism_contribution_to_FTE_in_accommodation_and_food_and_HwBBVUw.xlsx: Estimated leisure tourism contribution to FTE in accommodation and food and beverage\r\n- Characteristics of housing market sales in the Netherlands\r\n  - other-data/Characteristics_of_housing_market_sales_in_the_Netherlands.xlsx: Characteristics of housing market sales in the Netherlands\r\n- Number of museums, libraries and archives\r\n  - other-data/Number_of_museums_libraries_and_archives_per_NUTS_2_region.xlsx: Number of museums, libraries and archives per NUTS 2 region\r\n- Enumerate 2015 survey results\r\n  - other-data/Enumerate_2015_survey_results.zip: Enumerate 2015 survey results\r\n\r\n","project":"HERITAGE - The Material Cultural Heritage as a Strategic Territorial Development Resource","project_abstract":"The service shall attempt to quantify the contribution (impact) of material cultural heritage to economical development in the stakeholder countries and regions over the past 5 years. Building on the work done by the European Heritage Heads Forum’s Economic Task Force and the European Commission, this research activity will define a list of economic sectors on which the material cultural heritage has an impact and perform data collection on the selected impact indicators.\r\n\r\nThe main outcome should be a common theoretical framework, defining the most important economic sectors on which the material cultural heritage has an impact and developing the empirical evidence of such impact. This research activity will also develop a blueprint or in other words a step-by-step plan on how to build a monitoring system in the stakeholder countries that includes all actions necessary to obtain and maintain data for the defined impact indicators in the future.\r\n\r\nThis study is named as one of the key studies by the “European Framework for Action on Cultural Heritage” (adopted by the European Commission in December 2018). Economic statistics and indicators produced will be useful for understanding the economic contribution of the material cultural heritage. Overall the results will promote evidence-based decision making related to protection and promotion of material cultural heritage.","project_url":"https://www.espon.eu/cultural-heritage","type":"Project Package","publication_date":null,"archive":[{"name":"project_heritage-the-material-cultural-heritage-as-a-strategic-territorial-d_4kNf7Wi.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/1419/project_heritage-the-material-cultural-heritage-as-a-strategic-territorial-d_4kNf7Wi.zip","file_size":"2.0 MB"}],"status":"Published"},{"id":924,"name":"Test Project Archive","abstract":"Test Project Archive","project":"Database Portal 2020","project_abstract":"The ESPON 2020 Database Portal ensures the availability of timely, accurate statistical information which enables policy-makers, practitioners, researchers and other stakeholders to address a wide range of issues in today’s rapidly-evolving global economic and social landscape. The ESPON 2020 Database Portal gathers and harmonises international statistical data in a multidisciplinary environment which is a key to international comparative analysis and policy work.\r\n...","project_url":"https://www.espon.eu/espon-database","type":"Project Package","publication_date":"2019-01-17T17:38:07+01:00","archive":[{"name":"data_olap2013_o6.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/893/data_olap2013_06.zip","file_size":"58.6 MB"}],"status":"Un-published"},{"id":968,"name":"GREECO - Territorial Potentials for a Greener Economy (2013)","abstract":"# ESPON project package: 'GREECO - Territorial Potentials for a Greener Economy (2013)'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: GREECO - Territorial Potentials for a Greener Economy (2013)\r\n- Url: https://www.espon.eu/programme/projects/espon-2013/applied-research/greeco-territorial-potentials-greener-economy\r\n- Id: 6\r\n- Update: Jan. 19, 2022, 2:18 p.m.\r\n\r\n\r\n### Abstract\r\n\r\n...\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_517_co2xocbas_csv_rcfXhB8.zip: CO2 emissions from territorial fossil fuel combustion. (CO2XOCBAS)\r\n- main-data/ind_518_co2xocbasgt_csv_lmaG5Oy.zip: CO2 emissions from non-transport territorial fossil fuel combustion. (CO2XOCBASGT)\r\n- main-data/ind_519_co2_gt_csv_uAUxubv.zip: CO2 emissions from ground transport (CO2_GT)\r\n- main-data/ind_520_sox_csv_kAHvZe0.zip: Emissions of sulphur oxides (SOX)\r\n- main-data/ind_521_nox_csv_FPFvNkg.zip: Emissions of nitrogen oxides (NOX)\r\n- main-data/ind_522_nmvoc_csv_wYQXKj4.zip: Emissions of non-methane volatile organic compounds (NMVOC)\r\n- main-data/ind_523_co_csv_BoqMpl1.zip: Emissions of carbon oxide (CO)\r\n- main-data/ind_524_soxpkm_csv_eA2YKQB.zip: SOx emission density (SOXPKM)\r\n- main-data/ind_525_noxpkm_csv_vfbVXfZ.zip: NOx emission density (NOXPKM)\r\n- main-data/ind_526_nmvocpkm_csv_Y4IN8cs.zip: NMVOC emission density (NMVOCPKM)\r\n- main-data/ind_527_copkm_csv_av5PRSK.zip: Emission density of carbon oxide (COPKM)\r\n- main-data/ind_528_sigtw_laut_csv_pFETEzC.zip: Weighted share of municipalities that are signatories to the Covenant of Majors initiative (SIGTW_LAUT)\r\n- main-data/ind_529_clus_cap_csv_oKYSqQS.zip: Number of greentech clusters per million inhabitants (CLUS_CAP)\r\n- main-data/ind_538_igetp_csv.zip: Index of green economy theoretical potentials  (IGETP)\r\n- main-data/ind_539_gov_csv.zip: Index of good governance (GOV)\r\n- main-data/ind_540_phys_csv.zip: Index of territorial assets and physical conditions (PHYS)\r\n- main-data/ind_541_fund_csv.zip: Index of access to funding and financial support (FUND)\r\n- main-data/ind_542_tech_csv.zip: Index of access to technology (TECH)\r\n- main-data/ind_543_mkt_csv.zip: Index of expected market demand (MKT)\r\n- main-data/ind_544_hres_csv.zip: Index of human resources, knowledge and skills (HRES)\r\n- main-data/ind_545_volun_csv.zip: Index of environmental awareness and voluntary actions (VOLUN)\r\n- main-data/ind_531_sphere_1_csv_zEpkYXL.zip: Regional green economic performance index for environmental sphere (Sphere_1)\r\n- main-data/ind_532_sphere_2_csv_SMX1uCZ.zip: Regional green economic performance index for social sphere (Sphere_2)\r\n- main-data/ind_533_sphere_3_csv.zip: Regional green economic performance index for territorial sphere (Sphere_3)\r\n- main-data/ind_534_sphere_4_csv.zip: Regional green economic performance index for economic sphere (Sphere_4)\r\n- main-data/ind_535_sphere_5_csv.zip: Regional green economic performance Index for econosphere (Sphere_5)\r\n- main-data/ind_536_rgep_csv.zip: Index of regional green economic performance (RGEP)\r\n- main-data/ind_547_wpnf8g_csv.zip: Non-forest area potential wind resource rent at 8 c/kWh in percent of regional GVA 2009 (WPNF8G)\r\n- main-data/ind_548_wpnf10g_csv.zip: Non-forest area potential wind resource rent at 10 c/kWh in percent of regional GVA 2009 (WPNF10G)\r\n- main-data/ind_549_wpf8g_csv.zip: Forest area potential wind resource rent at 8 c/kWh in percent of regional GVA 2009 (WPF8G)\r\n- main-data/ind_550_wpf10g_csv.zip: Forest area potential wind resource rent at 10 c/kWh in percent of regional GVA 2009 (WPF10G)\r\n- main-data/ind_551_wpfnf8g_csv.zip: Forest and non-forest area potential wind resource rent at 8 c/kWh in percent of regional GVA 2009 (WPFNF8G)\r\n- main-data/ind_552_wpfnf10g_csv.zip: Forest and non-forest area potential wind resource rent at 10 c/kWh in percent of regional GVA 2009 (WPFNF10G)\r\n- main-data/ind_553_wpnf8r_csv.zip: Non-forest area potential wind resource rent at 8 c/kWh (WPNF8R)\r\n- main-data/ind_554_wpnf10r_csv.zip: Non-forest area potential wind resource rent at 10 c/kWh (WPNF10R)\r\n- main-data/ind_555_wpf8r_csv.zip: Forest area potential wind resource rent at 8 c/kWh (WPF8R)\r\n- main-data/ind_556_wpf10r_csv.zip: Forest area potential wind resource rent at 10 c/kWh (WPF10R)\r\n- main-data/ind_557_wpfnf8r_csv.zip: Forest and non-forest area potential wind resource rent at 8 c/kWh (WPFNF8R)\r\n- main-data/ind_558_wpfnf10r_csv.zip: Forest and non-forest area potential wind resource rent at 10 c/kWh (WPFNF10R)\r\n- main-data/ind_559_wpnf8pc_csv.zip: non-forest area wind energy potential per capita at 8 c/kWh (WPNF8PC)\r\n- main-data/ind_560_wpnf10pc_csv.zip: non-forest area wind energy potential per capita at 10 c/kWh (WPNF10PC)\r\n- main-data/ind_561_wpf8pc_csv.zip: Forest area wind energy potential per capita at 8 c/kWh (WPF8PC)\r\n- main-data/ind_562_wpf10pc_csv.zip: Forest area wind energy potential per capita at 10 c/kWh (WPF10PC)\r\n- main-data/ind_563_wpfnf8pc_csv.zip: Forest and non-forest area wind energy potential per capita at 8 c/kWh (WPFNF8PC)\r\n- main-data/ind_564_wpfnf10pc_csv.zip: Forest and non-forest area wind energy potential per capita at 10 c/kWh (WPFNF10PC)\r\n- main-data/ind_565_wpnf8_csv.zip: non-forest area wind energy potential at 8 c/kWh (WPNF8)\r\n- main-data/ind_566_wpnf10_csv.zip: non-forest area wind energy potential at 10 c/kWh (WPNF10)\r\n- main-data/ind_567_wpf8_csv.zip: Forest area wind energy potential at 8 c/kWh (WPF8)\r\n- main-data/ind_568_wpf10_csv.zip: Forest area wind energy potential at 10 c/kWh (WPF10)\r\n- main-data/ind_569_wpfnf8_csv.zip: Forest and non-forest area wind energy potential at 8 c/kWh (WPFNF8)\r\n- main-data/ind_570_wpfnf10_csv.zip: Forest and non-forest area wind energy potential at 10 c/kWh (WPFNF10)\r\n- main-data/ind_571_pv8g_csv.zip: Potential PV ressource rent at 8 c/kWh in % of GVA (PV8G)\r\n- main-data/ind_572_pv10g_csv.zip: Potential PV ressource rent at 10 c/kWh in % of GVA (PV10G)\r\n- main-data/ind_573_pv12g_csv.zip: Potential PV ressource rent at 12 c/kWh in percent of GVA (PV12G)\r\n- main-data/ind_574_pv8r_csv.zip: Potential PV ressource rent at 8 c/kWh (PV8R)\r\n- main-data/ind_575_pv10r_csv_Olyxrpt.zip: Potential PV ressource rent at 10 c/kWh (PV10R)\r\n- main-data/ind_576_pv12r_csv_yH289up.zip: Potential PV ressource rent at 12 c/kWh (PV12R)\r\n- main-data/ind_577_pv8pc_csv_6hOg9ht.zip: Economic PV energy potential per capita at 8 c/kWh (PV8PC)\r\n- main-data/ind_578_pv10pc_csv_VHZdA5y.zip: Economic PV energy potential per capita at 10 c/kWh (PV10PC)\r\n- main-data/ind_579_pv12pc_csv_tjrPOlh.zip: Economic PV energy potential per capita at 12 c/kWh (PV12PC)\r\n- main-data/ind_580_pv8_csv_LlecsQI.zip: Economic PV energy potential at 8 c/kWh (PV8)\r\n- main-data/ind_581_pv10_csv_Snrud0r.zip: Economic PV energy potential at 10 c/kWh (PV10)\r\n- main-data/ind_582_pv12_csv_1UuDsK5.zip: Economic PV energy potential at 12 c/kWh (PV12)\r\n- main-data/ind_583_co2_red_res_csv_D14SAi0.zip: CO2 emissions reduction potential - residential buildings (CO2_RED_RES)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n\r\n","project":"GREECO - Territorial Potentials for a Greener Economy (2013)","project_abstract":"...","project_url":"https://www.espon.eu/programme/projects/espon-2013/applied-research/greeco-territorial-potentials-greener-economy","type":"Project Package","publication_date":"2019-01-24T18:29:36.411933+01:00","archive":[{"name":"project_greeco-territorial-potentials-for-a-greener-economy-2013_XM6KS4S.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/968/project_greeco-territorial-potentials-for-a-greener-economy-2013_XM6KS4S.zip","file_size":"2.3 MB"}],"status":"Published"},{"id":967,"name":"ESPON DB - M4D (2013)","abstract":"# ESPON project package: 'ESPON DB - M4D (2013)'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: ESPON DB - M4D (2013)\r\n- Url: https://www.espon.eu/programme/projects/espon-2013/scientific-platform/espon-database-2013-phase-ii-2011-2014\r\n- Id: 18\r\n- Update: Feb. 25, 2019, 3:35 p.m.\r\n\r\n\r\n### Abstract\r\n\r\n...\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_628_reg_aland_clc_1_csv_3JbUKz8.zip: Artificial surfaces (REG_ALAND_CLC_1)\r\n- main-data/ind_629_reg_aland_clc_2_csv_Nvpsl7y.zip: Agricultural areas (REG_ALAND_CLC_2)\r\n- main-data/ind_630_reg_aland_clc_3_csv_TdLnPj0.zip: Forest and semi natural areas (REG_ALAND_CLC_3)\r\n- main-data/ind_631_reg_aland_clc_4_csv_7gC1rjD.zip: Wetlands (REG_ALAND_CLC_4)\r\n- main-data/ind_632_reg_aland_clc_5_csv_8lUkUlJ.zip: Water bodies (REG_ALAND_CLC_5)\r\n- main-data/ind_634_reg_aland_clc_11_csv_MgymNdh.zip: Urban fabric (REG_ALAND_CLC_11)\r\n- main-data/ind_635_reg_aland_clc_12_csv_Vgs0HrP.zip: Industrial, commercial and transport units (REG_ALAND_CLC_12)\r\n- main-data/ind_636_reg_aland_clc_13_csv.zip: Mine, dump and construction sites (REG_ALAND_CLC_13)\r\n- main-data/ind_637_reg_aland_clc_14_csv.zip: Artificial, non-agricultural vegetated areas (REG_ALAND_CLC_14)\r\n- main-data/ind_638_reg_aland_clc_21_csv.zip: Arable land (REG_ALAND_CLC_21)\r\n- main-data/ind_639_reg_aland_clc_22_csv.zip: Permanent crops (REG_ALAND_CLC_22)\r\n- main-data/ind_640_reg_aland_clc_23_csv.zip: Pastures (REG_ALAND_CLC_23)\r\n- main-data/ind_641_reg_aland_clc_24_csv.zip: Heterogeneous agricultural areas (REG_ALAND_CLC_24)\r\n- main-data/ind_642_reg_aland_clc_31_csv.zip: Forests (REG_ALAND_CLC_31)\r\n- main-data/ind_643_reg_aland_clc_32_csv.zip: Scrub and/or herbaceous vegetation associations (REG_ALAND_CLC_32)\r\n- main-data/ind_644_reg_aland_clc_33_csv.zip: Open spaces with little or no vegetation (REG_ALAND_CLC_33)\r\n- main-data/ind_645_reg_aland_clc_41_csv.zip: Inland wetlands (REG_ALAND_CLC_41)\r\n- main-data/ind_646_reg_aland_clc_42_csv.zip: Maritime wetlands (REG_ALAND_CLC_42)\r\n- main-data/ind_647_reg_aland_clc_51_csv.zip: Inland waters (REG_ALAND_CLC_51)\r\n- main-data/ind_648_reg_aland_clc_52_csv.zip: Marine waters (REG_ALAND_CLC_52)\r\n- main-data/ind_650_reg_aland_clc_111_csv.zip: Continuous urban fabric (REG_ALAND_CLC_111)\r\n- main-data/ind_651_reg_aland_clc_112_csv.zip: Discontinuous urban fabric (REG_ALAND_CLC_112)\r\n- main-data/ind_652_reg_aland_clc_121_csv.zip: Industrial or commercial units (REG_ALAND_CLC_121)\r\n- main-data/ind_653_reg_aland_clc_122_csv.zip: Road and rail networks and associated land (REG_ALAND_CLC_122)\r\n- main-data/ind_654_reg_aland_clc_123_csv.zip: Port areas (REG_ALAND_CLC_123)\r\n- main-data/ind_655_reg_aland_clc_124_csv.zip: Airports (REG_ALAND_CLC_124)\r\n- main-data/ind_656_reg_aland_clc_131_csv.zip: Mineral extraction sites (REG_ALAND_CLC_131)\r\n- main-data/ind_657_reg_aland_clc_132_csv.zip: Dump sites (REG_ALAND_CLC_132)\r\n- main-data/ind_658_reg_aland_clc_133_csv.zip: Construction sites (REG_ALAND_CLC_133)\r\n- main-data/ind_659_reg_aland_clc_141_csv.zip: Green urban areas (REG_ALAND_CLC_141)\r\n- main-data/ind_660_reg_aland_clc_142_csv.zip: Sport and leisure facilities (REG_ALAND_CLC_142)\r\n- main-data/ind_661_reg_aland_clc_211_csv.zip: Non-irrigated arable land (REG_ALAND_CLC_211)\r\n- main-data/ind_662_reg_aland_clc_212_csv.zip: Permanently irrigated land (REG_ALAND_CLC_212)\r\n- main-data/ind_663_reg_aland_clc_213_csv.zip: Rice fields (REG_ALAND_CLC_213)\r\n- main-data/ind_664_reg_aland_clc_221_csv.zip: Vineyards (REG_ALAND_CLC_221)\r\n- main-data/ind_665_reg_aland_clc_222_csv_HlNp2E6.zip: Fruit trees and berry plantations (REG_ALAND_CLC_222)\r\n- main-data/ind_666_reg_aland_clc_223_csv.zip: Olive groves (REG_ALAND_CLC_223)\r\n- main-data/ind_667_reg_aland_clc_231_csv.zip: Pastures (3rd aggregation level) (REG_ALAND_CLC_231)\r\n- main-data/ind_668_reg_aland_clc_241_csv.zip: Annual crops associated with permanent crops (REG_ALAND_CLC_241)\r\n- main-data/ind_669_reg_aland_clc_242_csv.zip: Complex cultivation patterns (REG_ALAND_CLC_242)\r\n- main-data/ind_670_reg_aland_clc_243_csv.zip: Land principally occupied by agriculture, with significant areas of natural vegetation (REG_ALAND_CLC_243)\r\n- main-data/ind_671_reg_aland_clc_244_csv.zip: Agro-forestry areas (REG_ALAND_CLC_244)\r\n- main-data/ind_672_reg_aland_clc_311_csv.zip: Broad-leaved forest (REG_ALAND_CLC_311)\r\n- main-data/ind_673_reg_aland_clc_312_csv.zip: Coniferous forest (REG_ALAND_CLC_312)\r\n- main-data/ind_674_reg_aland_clc_313_csv.zip: Mixed forest (REG_ALAND_CLC_313)\r\n- main-data/ind_675_reg_aland_clc_321_csv.zip: Natural grasslands (REG_ALAND_CLC_321)\r\n- main-data/ind_676_reg_aland_clc_322_csv.zip: Moors and heathland (REG_ALAND_CLC_322)\r\n- main-data/ind_677_reg_aland_clc_323_csv.zip: Sclerophyllous vegetation (REG_ALAND_CLC_323)\r\n- main-data/ind_678_reg_aland_clc_324_csv.zip: Transitional woodland-shrub (REG_ALAND_CLC_324)\r\n- main-data/ind_679_reg_aland_clc_331_csv.zip: Beaches, dunes, sands (REG_ALAND_CLC_331)\r\n- main-data/ind_680_reg_aland_clc_332_csv.zip: Bare rocks (REG_ALAND_CLC_332)\r\n- main-data/ind_681_reg_aland_clc_333_csv.zip: Sparsely vegetated areas (REG_ALAND_CLC_333)\r\n- main-data/ind_682_reg_aland_clc_334_csv.zip: Burnt areas (REG_ALAND_CLC_334)\r\n- main-data/ind_683_reg_aland_clc_335_csv.zip: Glaciers and perpetual snow (REG_ALAND_CLC_335)\r\n- main-data/ind_684_reg_aland_clc_411_csv.zip: Inland marshes (REG_ALAND_CLC_411)\r\n- main-data/ind_685_reg_aland_clc_412_csv.zip: Peat bogs (REG_ALAND_CLC_412)\r\n- main-data/ind_686_reg_aland_clc_421_csv.zip: Salt marshes (REG_ALAND_CLC_421)\r\n- main-data/ind_687_reg_aland_clc_422_csv.zip: Salines (REG_ALAND_CLC_422)\r\n- main-data/ind_688_reg_aland_clc_423_csv.zip: Intertidal flats (REG_ALAND_CLC_423)\r\n- main-data/ind_689_reg_aland_clc_511_csv.zip: Water courses (REG_ALAND_CLC_511)\r\n- main-data/ind_690_reg_aland_clc_512_csv.zip: Water bodies (3rd aggregation level) (REG_ALAND_CLC_512)\r\n- main-data/ind_691_reg_aland_clc_521_csv.zip: Coastal lagoons (REG_ALAND_CLC_521)\r\n- main-data/ind_692_reg_aland_clc_522_csv.zip: Estuaries (REG_ALAND_CLC_522)\r\n- main-data/ind_693_reg_aland_clc_523_csv.zip: Sea and ocean (REG_ALAND_CLC_523)\r\n- main-data/ind_694_reg_aland_no_data_csv.zip: No data (REG_ALAND_NO_DATA)\r\n- main-data/ind_695_reg_aland_clc_1_rt_csv.zip: Share of artificial surfaces (REG_ALAND_CLC_1_RT)\r\n- main-data/ind_696_reg_aland_clc_2_rt_csv.zip: Share of Agricultural areas (REG_ALAND_CLC_2_RT)\r\n- main-data/ind_697_reg_aland_clc_3_rt_csv.zip: Share of Forest and semi natural areas (REG_ALAND_CLC_3_RT)\r\n- main-data/ind_698_reg_aland_clc_4_rt_csv.zip: Share of Wetlands (REG_ALAND_CLC_4_RT)\r\n- main-data/ind_699_reg_aland_clc_5_rt_csv.zip: Water bodies (REG_ALAND_CLC_5_RT)\r\n- main-data/ind_700_reg_aland_clc_11_rt_csv.zip: Share of Urban fabric (REG_ALAND_CLC_11_RT)\r\n- main-data/ind_701_reg_aland_clc_12_rt_csv.zip: Share of Industrial, commercial and transport units (REG_ALAND_CLC_12_RT)\r\n- main-data/ind_702_reg_aland_clc_13_rt_csv.zip: Share of Mine, dump and construction sites (REG_ALAND_CLC_13_RT)\r\n- main-data/ind_703_reg_aland_clc_14_rt_csv.zip: Share of Artificial, non-agricultural vegetated areas (REG_ALAND_CLC_14_RT)\r\n- main-data/ind_704_reg_aland_clc_21_rt_csv.zip: Share of Arable land (REG_ALAND_CLC_21_RT)\r\n- main-data/ind_705_reg_aland_clc_22_rt_csv_g5SI2xd.zip: Share of Permanent crops (REG_ALAND_CLC_22_RT)\r\n- main-data/ind_706_reg_aland_clc_23_rt_csv_heh36gP.zip: Share of Pastures (REG_ALAND_CLC_23_RT)\r\n- main-data/ind_707_reg_aland_clc_24_rt_csv_GNac1Mg.zip: Share of Heterogeneous agricultural areas (REG_ALAND_CLC_24_RT)\r\n- main-data/ind_708_reg_aland_clc_31_rt_csv.zip: Share of Forests (REG_ALAND_CLC_31_RT)\r\n- main-data/ind_709_reg_aland_clc_32_rt_csv.zip: Share of Scrub and/or herbaceous vegetation associations (REG_ALAND_CLC_32_RT)\r\n- main-data/ind_710_reg_aland_clc_33_rt_csv.zip: Share of Open spaces with little or no vegetation (REG_ALAND_CLC_33_RT)\r\n- main-data/ind_711_reg_aland_clc_41_rt_csv.zip: Share of Inland wetlands (REG_ALAND_CLC_41_RT)\r\n- main-data/ind_712_reg_aland_clc_42_rt_csv.zip: Share of Maritime wetlands (REG_ALAND_CLC_42_RT)\r\n- main-data/ind_713_reg_aland_clc_51_rt_csv_Dyuo8WG.zip: Share of Inland waters (REG_ALAND_CLC_51_RT)\r\n- main-data/ind_714_reg_aland_clc_52_rt_csv_vfzUpfs.zip: Share of Marine waters (REG_ALAND_CLC_52_RT)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n\r\n","project":"ESPON DB - M4D (2013)","project_abstract":"...","project_url":"https://www.espon.eu/programme/projects/espon-2013/scientific-platform/espon-database-2013-phase-ii-2011-2014","type":"Project Package","publication_date":"2019-01-24T18:29:33.907295+01:00","archive":[{"name":"project_espon-db-m4d-2013.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/967/project_espon-db-m4d-2013.zip","file_size":"12.5 MB"}],"status":"Published"},{"id":2146,"name":"BusDev - Business Development Opportunities at External EU Borders","abstract":"# ESPON project package: 'BusDev - Business Development Opportunities at External EU Borders'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: BusDev - Business Development Opportunities at External EU Borders\r\n- Url: https://www.espon.eu/bus\r\n- Id: 57\r\n- Update: Jan. 18, 2021, 8:18 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nESPON BusDev targeted analysis looks at regions at the EU external border from broad perspectives by addressing challenges and opportunities for development of entrepreneurship in the cross-border areas. It provides analytical insights for three stakeholder regions: Latgale in Latvia at the border with Russia and Belarus; Utena county plus two other adjacent local authorities in Lithuania at the border with Belarus and in the four Romanian counties at border with Moldova. \r\r\nThe project has compiled and collected data along two rationales: \r\r\n(1) A structured data collection of relatively basic socio-economic indicators was implemented in all three regions to allow for both a description of patterns and trends in each stakeholder region and a comparison of the situation across the three regions. A total of 21 socio-economic indicators were collected at NUTS3 (LV, LT, RO) and Local Area Unit (LV, LT) levels. \r\r\n(2) In order to provide an assessment of the local entrepreneurship potential in each region, six business vitality, attractivity and local resources related indicators were compiled. A synthetic index was calculated which was then put in perspective with the absorption of European Structural Investment Funds in the period 2014-2020. These indicators support recommendations on how to streamline allocation of business support measures at EU borders for the next programming period (2021-2027).\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\nNone\r\n\r\n\r\n## Other Data\r\n\r\n- Territorial indicators for business development assessment\r\n  - other-data/BU2_Self-employed_vpUKkOG.xls: BU2 Self-employed population in the total employed population\r\n  - other-data/BU3_Firms_by_size_categories_E7JvtBp.xls: BU3 Firms by size categories\r\n  - other-data/BU1_Local_business_units_u2iMLF6.xls: BU1 Local business units\r\n  - other-data/FD1_Foreign_direct_investment_g89D4PA.xls: FD1 Foreign Direct Investment\r\n  - other-data/PO1_Resident_population_hWILugG.xls: PO1 Resident population\r\n  - other-data/EC2_Value_added.xls: EC2 Value added at factor cost\r\n  - other-data/INC2_Tax_revenues.xls: INC2 Tax revenues\r\n  - other-data/EC1_GDP_per_capita_i6lYR7S.xls: EC1 GDP per capita\r\n  - other-data/ED1_Educational_attainment_ywGN9Vj.xls: ED1 Educational attainment level\r\n  - other-data/INC1_Disposable_income_ETyWvEq.xls: INC1 Disposable income of households\r\n  - other-data/INN1_Innovative_enterprises_igGu9s6.xls: INN1 Innovative enterprises\r\n  - other-data/INV1_Investment_in_tangible_fixed_assets_9j3ODrD.xls: INV1 Investment in tangible fixed assets\r\n  - other-data/LM1_Unemployment_rate_qzXGHeI.xls: LM1 Unemployment rate\r\n  - other-data/LM2_Employment_NACE_UJtA7RD.xls: LM2 Employment by NACE sectors\r\n  - other-data/LO1_Total_land_area_2kq0Lo9.xls: LO1 Total land area\r\n  - other-data/LO2-Population_potential_a9cwe1V.zip: LO2 Population potential\r\n  - other-data/LO3_Visitors_nTemEoi.xls: LO3 Visitors (tourism)\r\n  - other-data/PO2_Population_density_gE0eGqY.xls: PO2 Population density\r\n  - other-data/PO3_Urban-rural_population_cyOIo1r.xls: PO3 Urban-rural population\r\n  - other-data/PO4_Dependency_ratio_IiwSsh7.xls: PO4 Dependency ratio\r\n  - other-data/PO5_Net_migration_rate_KPDCQCL.xls: PO5 Net migration rate\r\n- Entrepreneurship potential\r\n  - other-data/ENT_EntrepreneurshipPotential_BQfJB69.xls: Entrepreneurship potential and ESIF absorption\r\n\r\n","project":"BusDev - Business Development Opportunities at External EU Borders","project_abstract":"ESPON BusDev targeted analysis looks at regions at the EU external border from broad perspectives by addressing challenges and opportunities for development of entrepreneurship in the cross-border areas. It provides analytical insights for three stakeholder regions: Latgale in Latvia at the border with Russia and Belarus; Utena county plus two other adjacent local authorities in Lithuania at the border with Belarus and in the four Romanian counties at border with Moldova. \r\nThe project has compiled and collected data along two rationales: \r\n(1) A structured data collection of relatively basic socio-economic indicators was implemented in all three regions to allow for both a description of patterns and trends in each stakeholder region and a comparison of the situation across the three regions. A total of 21 socio-economic indicators were collected at NUTS3 (LV, LT, RO) and Local Area Unit (LV, LT) levels. \r\n(2) In order to provide an assessment of the local entrepreneurship potential in each region, six business vitality, attractivity and local resources related indicators were compiled. A synthetic index was calculated which was then put in perspective with the absorption of European Structural Investment Funds in the period 2014-2020. These indicators support recommendations on how to streamline allocation of business support measures at EU borders for the next programming period (2021-2027).","project_url":"https://www.espon.eu/bus","type":"Project Package","publication_date":null,"archive":[{"name":"project_busdev-business-development-opportunities-at-external-eu-borders.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/2146/project_busdev-business-development-opportunities-at-external-eu-borders.zip","file_size":"17.4 MB"}],"status":"Published"},{"id":2147,"name":"QoL - Quality of Life Measurements and Methodology","abstract":"# ESPON project package: 'QoL - Quality of Life Measurements and Methodology'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: QoL - Quality of Life Measurements and Methodology\r\n- Url: https://www.espon.eu/programme/projects/espon-2020/applied-research/quality-of-life\r\n- Id: 51\r\n- Update: Jan. 26, 2021, 11:14 a.m.\r\n\r\n\r\n### Abstract\r\n\r\nThe Quality of Life Measurement and Methodology project data is composed by one main dataset containing the main results of the project and other data related to the study cases.\r\r\n\r\r\nThe main dataset "Territorial Quality of Life Index" contains the results of the TQoL composite index methodology at European level. It contains 4 main indicators, EU TQoL Index and its 3 composing dimensions (B-good life enablers, M-life maintenance and F-life flourishing). The composite index at lower levels (9 domains and 20 sub-domains) are also available within the background indicators in the "TQoL European Dashboard tool". It also contains a database named "Quality of Life indicators"  with all the indicators that have been used to elaborate the each of the composite indicators.\r\r\n\r\r\nThe other data has been organised by the following datasets:\r\r\n-Barcelona study case. It contains the quality of life indicators gathered, the dashboard tool used to calculate the TQoL composite indexes, the resulting TQoL composite Indexes (sub-domain, domain, dimension and general) and the results of applying the latent class clustering approach.\r\r\n-Vienna study case. It contains the quality of life indicators gathered, the dashboard tool used to calculate the TQoL composite indexes and the resulting TQoL composite Indexes (sub-domain, domain, dimension and general).\r\r\n-Other study cases. It contains the dashboard tool used to calculate the TQoL composite indexes in Helsinki-Ussima and Wales, the territorial quality of life indicators gathered for Vienna and the results of applying the latent class clustering approach in Netherlands.\r\r\n-European context.  It contains the resulting TQoL composite Indexes in 2 different time periods (2010-2014 and 2015-2019), the Regional Social Progress Index at NUTS 2 and the results of applying the latent class clustering approach in the European context at NUTS3.\r\r\n\r\r\nThe specific methodology for measuring quality of life encompasses the following steps: \r\r\nStep 1. Selection of QoL indicators: the selected indicators are in the indicator "Quality of Life indicators (qol_indi)"\r\r\nStep 2. Data harmonisation: Carried out to render the variables comparable. Outliers in the dataset are identified and excluded. Highly skewed distributions are transformed (logarithmic and power transformations). Indicators are normalised in a range [0-1]. These steps were made using the "TQoL Dashboard tool for policy makers (dasht_pm)".\r\r\nStep 3. Weighing QoL indicators. The "TQoL European Dashboard tool (dasht_eu)" allows for changing weights of each indicator within domains and sub-domains, for instance to apply weights after a consultation with groups of experts, stakeholders of citizens. Same weights were considered to elaborate the composite indicators available in this project.\r\r\n\r\r\nFor further details regarding the methodology check the ESPON QoL Final Report available at the project website.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_2109_index__b_csv_RKUsu0Z.zip: Territorial Quality of Life Index - Good Life Enablers dimension (index__B)\r\n- main-data/ind_2110_index__m_csv_9O12nny.zip: Territorial Quality of Life Index - Life Maintenance dimension (index__M)\r\n- main-data/ind_2111_index__f_csv_KyfVkfy.zip: Territorial Quality of Life Index - Life Flourishing dimension (index__F)\r\n- main-data/ind_2112_tqolindx_csv_JBrUhqQ.zip: Territorial Quality of Life Index (TQoLindx)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- Barcelona Study Case\r\n  - other-data/ESPON_QoL_Territorial_Quality_of_Life_Index_of_Barcelona.xlsx: Territorial Quality of Life Index of Barcelona\r\n  - other-data/ESPON_QoL_DASHBOARD_BCN.xlsx: TQoL Dashboard of Barcelona\r\n  - other-data/ESPON_QoL_Quality_of_life_indicators_of_Barcelona.xlsx: Quality of life indicators of Barcelona\r\n  - other-data/ESPON_QoL_Barcelona_class_membership.xlsx: Barcelona class membership - cluster approach\r\n- Vienna study case\r\n  - other-data/ESPON_QoL_Quality_of_life_indicators_of_Vienna.xlsx: Quality of life indicators of Vienna\r\n  - other-data/ESPON_TQoL_TQoL_Dashboard_of_Vienna.xlsx: TQoL Dashboard of Vienna\r\n  - other-data/ESPON_QoL_Territorial_Quality_of_Life_Index_in_Vienna.xlsx: Territorial Quality of Life Index in Vienna\r\n- Other study cases\r\n  - other-data/ESPON_TQoL_Dashboard_Helsinki.xlsx: TQoL Dashboard of Helsinki\r\n  - other-data/ESPON_TQoL_Dashboard_Wales.xlsx: TQoL Dashboard of Wales\r\n  - other-data/ESPON_QoL_Territorial_Quality_of_Life_Index_of_Wales.xlsx: Territorial Quality of Life Index of Wales\r\n  - other-data/ESPON_TQoL_Netherlands_class_membership.xlsx: Netherlands class membership - cluster approach\r\n- European indicators\r\n  - other-data/ESPON_QoL_Territorial_Quality_of_Life_Index_in_Early__Late_2010s.xlsx: Territorial Quality of Life Index in Early & Late 2010s\r\n  - other-data/ESPON_QoL_Regional_Social_Progress_Index.xlsx: Regional Social Progress Index\r\n  - other-data/ESPON_QoL_European_regions_class_membership.xlsx: European regions class membership - cluster approach\r\n\r\n","project":"QoL - Quality of Life Measurements and Methodology","project_abstract":"The Quality of Life Measurement and Methodology project data is composed by one main dataset containing the main results of the project and other data related to the study cases.\r\n\r\nThe main dataset \"Territorial Quality of Life Index\" contains the results of the TQoL composite index methodology at European level. It contains 4 main indicators, EU TQoL Index and its 3 composing dimensions (B-good life enablers, M-life maintenance and F-life flourishing). The composite index at lower levels (9 domains and 20 sub-domains) are also available within the background indicators in the \"TQoL European Dashboard tool\". It also contains a database named \"Quality of Life indicators\"  with all the indicators that have been used to elaborate the each of the composite indicators.\r\n\r\nThe other data has been organised by the following datasets:\r\n-Barcelona study case. It contains the quality of life indicators gathered, the dashboard tool used to calculate the TQoL composite indexes, the resulting TQoL composite Indexes (sub-domain, domain, dimension and general) and the results of applying the latent class clustering approach.\r\n-Vienna study case. It contains the quality of life indicators gathered, the dashboard tool used to calculate the TQoL composite indexes and the resulting TQoL composite Indexes (sub-domain, domain, dimension and general).\r\n-Other study cases. It contains the dashboard tool used to calculate the TQoL composite indexes in Helsinki-Ussima and Wales, the territorial quality of life indicators gathered for Vienna and the results of applying the latent class clustering approach in Netherlands.\r\n-European context.  It contains the resulting TQoL composite Indexes in 2 different time periods (2010-2014 and 2015-2019), the Regional Social Progress Index at NUTS 2 and the results of applying the latent class clustering approach in the European context at NUTS3.\r\n\r\nThe specific methodology for measuring quality of life encompasses the following steps: \r\nStep 1. Selection of QoL indicators: the selected indicators are in the indicator \"Quality of Life indicators (qol_indi)\"\r\nStep 2. Data harmonisation: Carried out to render the variables comparable. Outliers in the dataset are identified and excluded. Highly skewed distributions are transformed (logarithmic and power transformations). Indicators are normalised in a range [0-1]. These steps were made using the \"TQoL Dashboard tool for policy makers (dasht_pm)\".\r\nStep 3. Weighing QoL indicators. The \"TQoL European Dashboard tool (dasht_eu)\" allows for changing weights of each indicator within domains and sub-domains, for instance to apply weights after a consultation with groups of experts, stakeholders of citizens. Same weights were considered to elaborate the composite indicators available in this project.\r\n\r\nFor further details regarding the methodology check the ESPON QoL Final Report available at the project website.","project_url":"https://www.espon.eu/programme/projects/espon-2020/applied-research/quality-of-life","type":"Project Package","publication_date":null,"archive":[{"name":"project_qol-quality-of-life-measurements-and-methodology.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/2147/project_qol-quality-of-life-measurements-and-methodology.zip","file_size":"7.3 MB"}],"status":"Published"},{"id":1031,"name":"SPIMA - Spatial Dynamics and Strategic Planning in Metropolitan Areas","abstract":"# ESPON project package: 'SPIMA - Spatial Dynamics and Strategic Planning in Metropolitan Areas'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: SPIMA - Spatial Dynamics and Strategic Planning in Metropolitan Areas\r\n- Url: https://www.espon.eu/metropolitan-areas\r\n- Id: 16\r\n- Update: March 15, 2019, 3:27 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nMetropolitan areas are based on agglomerations, which include the built-up area and the commuter belt around a city. A sustainable and inclusive development of the economic potential as well as the well-being of people living there may be developed more efficiently by taking into account the metropolitan area as a whole. Given the growing role of cities and metropolitan areas in governance this topic is high on the policy agenda of the European Commission.\r\r\n\r\r\nHowever, there are major policy issues in the spatial development of cities and metropolitan areas, like urban sprawl, that affect the latter’s ability to meet the goals of sustainable and inclusive growth. Policy makers in cities often have limited capacity to address these challenges, due to the de facto (and sometimes de jure) existence of functional urban areas (FUAs), defining cities and their commuting zones. These FUAs extend beyond formal administrative boundaries. Therefore, metropolitan areas often suffer from fragmented policy making.\r\r\n\r\r\nHence, the metropolitan dimension gives new and challenging aspects to the question of how to address policy issues, since dialogue and commitment to joint policies has to be achieved by the core city and often many neighboring municipalities as well as directly elected local and regional authorities. City to city cooperation as well as multilevel cooperation are crucial points to be taken into account in this respect. Furthermore, different planning frameworks need to be considered, which in most cases are not specifically designed to strengthen inter municipal and multilevel cooperation. New governance approaches, though, are promising to ease the potentially unfavourable effects of fragmentation of different municipalities and other public authorities within metropolitan areas.\r\r\n\r\r\nEven if the roles that metropolitan areas can play for territorial development are increasingly recognised in Europe, there is still no unified typology providing policy makers with a better representation and understanding of the metropolisation of society. The latter would be of relevance for embedding metropolitan development in local and regional development discourses and strategies.\r\r\n\r\r\nEmerging local and regional development strategies across Europe address some of the metropolitan areas' challenges. Nevertheless, many places lack the policy tools and governance approaches for metropolitan planning and spatial management at metropolitan level.\r\r\n\r\r\nMore specifically, some countries and cities lack formal powers for planning at the metropolitan area level, especially in Central-Eastern Europe and in federal systems. A number of other countries, though, such as France, The Netherlands, Italy and the Nordic countries, have legal frameworks, or even requirements, for spatial planning at a metropolitan level. However, even if there is a legal framework it might be the case that the territory fixed for cooperation does not cover the whole FUA. Moreover, the frameworks vary with wide differences in the level of experience, practice, institutionalization and resources, and therefore have varying measures of success.\r\r\n\r\r\nWith the continuous urban sprawl in Europe and merging of urban zones within metropolitan areas, it is of key importance to assess the role of spatial planning policy and urban governance processes at metropolitan level. Spatial planning policy is one of the three main topics of cooperation in metropolitan areas across Europe. Being cross-sectoral, coordinating and integrating, metropolitan spatial policy can play a significant role in promoting sustainable and inclusive growth.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\nNone\r\n\r\n\r\n## Other Data\r\n\r\n- GDP\r\n  - other-data/SPIMA_GDP_DB2020_ProjectArchive.xlsx: SPIMA_GDP\r\n- Land use\r\n  - other-data/SPIMA_LandUse_DB2020_ProjectArchive.xlsx: SPIMA_LandUse\r\n- Population\r\n  - other-data/SPIMA_Population_DB2020_ProjectArchive.xlsx: SPIMA_Population\r\n- Protected areas\r\n  - other-data/SPIMA_Protection_DB2020_ProjectArchive.xlsx: SPIMA_Protection\r\n- Travel time\r\n  - other-data/SPIMA_TravelTime_DB2020_ProjectArchive.xlsx: SPIMA_TravelTime\r\n- Urban Sprawl\r\n  - other-data/SPIMA_UrbanSprawl_DB2020_ProjectArchive.xlsx: SPIMA_UrbanSprawl\r\n\r\n","project":"SPIMA - Spatial Dynamics and Strategic Planning in Metropolitan Areas","project_abstract":"Metropolitan areas are based on agglomerations, which include the built-up area and the commuter belt around a city. A sustainable and inclusive development of the economic potential as well as the well-being of people living there may be developed more efficiently by taking into account the metropolitan area as a whole. Given the growing role of cities and metropolitan areas in governance this topic is high on the policy agenda of the European Commission.\r\n\r\nHowever, there are major policy issues in the spatial development of cities and metropolitan areas, like urban sprawl, that affect the latter’s ability to meet the goals of sustainable and inclusive growth. Policy makers in cities often have limited capacity to address these challenges, due to the de facto (and sometimes de jure) existence of functional urban areas (FUAs), defining cities and their commuting zones. These FUAs extend beyond formal administrative boundaries. Therefore, metropolitan areas often suffer from fragmented policy making.\r\n\r\nHence, the metropolitan dimension gives new and challenging aspects to the question of how to address policy issues, since dialogue and commitment to joint policies has to be achieved by the core city and often many neighboring municipalities as well as directly elected local and regional authorities. City to city cooperation as well as multilevel cooperation are crucial points to be taken into account in this respect. Furthermore, different planning frameworks need to be considered, which in most cases are not specifically designed to strengthen inter municipal and multilevel cooperation. New governance approaches, though, are promising to ease the potentially unfavourable effects of fragmentation of different municipalities and other public authorities within metropolitan areas.\r\n\r\nEven if the roles that metropolitan areas can play for territorial development are increasingly recognised in Europe, there is still no unified typology providing policy makers with a better representation and understanding of the metropolisation of society. The latter would be of relevance for embedding metropolitan development in local and regional development discourses and strategies.\r\n\r\nEmerging local and regional development strategies across Europe address some of the metropolitan areas' challenges. Nevertheless, many places lack the policy tools and governance approaches for metropolitan planning and spatial management at metropolitan level.\r\n\r\nMore specifically, some countries and cities lack formal powers for planning at the metropolitan area level, especially in Central-Eastern Europe and in federal systems. A number of other countries, though, such as France, The Netherlands, Italy and the Nordic countries, have legal frameworks, or even requirements, for spatial planning at a metropolitan level. However, even if there is a legal framework it might be the case that the territory fixed for cooperation does not cover the whole FUA. Moreover, the frameworks vary with wide differences in the level of experience, practice, institutionalization and resources, and therefore have varying measures of success.\r\n\r\nWith the continuous urban sprawl in Europe and merging of urban zones within metropolitan areas, it is of key importance to assess the role of spatial planning policy and urban governance processes at metropolitan level. Spatial planning policy is one of the three main topics of cooperation in metropolitan areas across Europe. Being cross-sectoral, coordinating and integrating, metropolitan spatial policy can play a significant role in promoting sustainable and inclusive growth.","project_url":"https://www.espon.eu/metropolitan-areas","type":"Project Package","publication_date":"2019-03-11T10:23:30.291653+01:00","archive":[{"name":"project_spima-spatial-dynamics-and-strategic-planning-in-metropolitan-areas.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/1031/project_spima-spatial-dynamics-and-strategic-planning-in-metropolitan-areas.zip","file_size":"4.2 MB"}],"status":"Published"},{"id":1521,"name":"ACPA - Adapting European Cities to Population","abstract":"# ESPON project package: 'ACPA - Adapting European Cities to Population'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: ACPA - Adapting European Cities to Population\r\n- Url: https://www.espon.eu/ACPA\r\n- Id: 39\r\n- Update: April 8, 2020, 5:25 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nThe European population is ageing rapidly, and this is particularly evident in the cities. According to Eurostat, the number of people aged 65 and over will almost double from 17% to 30% by 2060, and those aged 80 and over will rise from 5% to 12%. This significant demographic change is perceived as a major challenge for Europe’s social and health systems.\r\r\n\r\r\nThe eight stakeholders involved in ACPA, Amsterdam, Barcelona, Gothenburg, Hengelo, Greater Manchester, Nantes, Oslo and Zaragoza, have some of the highest percentages (>20%) of older people in their population in Europe, projected to increase to over 30% by 2030. These cities also experience increasing levels of transnational migration, spatial segregation, and pockets of deprivation, which impact on the lives of older people. Consequently, these cities need to adapt their policies and deliveries to better meet the needs of older residents.\r\r\n\r\r\nMany cities have started developing and implementing age-friendly programmes. However, the main challenge for cities is less that we are living longer, but more that we are spending too many of our old age years in an urban environment designed by and for a younger and economically active population. This is an issue which has become an increasing challenge to the EU, and a number of initiatives have recently been launched by the European Commission to create awareness and provide support in dealing with these challenges.\r\r\n\r\r\nESPON ACPA will investigate the effectiveness of policies and initiatives to develop age-friendly cities and initiatives that support “ageing in place” in eight cities and city-regions. ACPA’s results will directly feed into the adaptation and development of policies and action plans related to age-friendly cities and social programmes including post-2020 cohesion policy.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\nNone\r\n\r\n\r\n## Other Data\r\n\r\n- Stakeholder city Nantes\r\n  - other-data/age_nant.xls: Population by age and sex in Nantes 2016\r\n  - other-data/sh_nant.xls: Share of older people per neighbourhood in Nantes, 2015\r\n  - other-data/ch_nant.xls: Change in older population per neighbourhood in Nantes, 2007-2015\r\n- Stakeholder city Gothenburg\r\n  - other-data/age_goth.xls: Population by age and sex in Gothenburg 2018\r\n  - other-data/sh_goth_7JUYWph.xls: Share of older people per neighbourhood in Gothenburg, 2017\r\n  - other-data/ch_goth_xscgj6a.xls: Change in older population per neighbourhood in Gothenburg, 2001-2017\r\n- Stakeholder city Oslo\r\n  - other-data/age_oslo.xls: Population by age and sex in Oslo 2018\r\n  - other-data/sh_oslo_y3Jsh1V.xls: Share of older people per neighbourhood in Oslo, 2017\r\n  - other-data/ch_oslo_ZUr4FO3.xls: Change in older population per neighbourhood in Oslo, 2001-2017\r\n- Stakeholder city Hengelo\r\n  - other-data/age_heng.xls: Population by age and sex in Hengelo 2018\r\n  - other-data/sh_heng.xls: Share of older people per neighbourhood in Hengelo, 2017\r\n  - other-data/ch_heng.xls: Change in older population per neighbourhood in Hengelo, 2001-2017\r\n- Stakeholder city Amsterdam\r\n  - other-data/age_amst.xls: Population by age and sex in Amsterdam 2018\r\n  - other-data/sh_amst.xls: Share of older people per neighbourhood in Amsterdam, 2018\r\n  - other-data/ch_amst.xls: Change in older population per neighbourhood in Amsterdam, 2005-2018\r\n- Stakeholder city Greater Manchester\r\n  - other-data/sh_grea.xls: Share of older people per neighbourhood in Greater Manchester, 2017\r\n  - other-data/ch_grea.xls: Change in older population per neighbourhood in Greater Manchester, 2001-2017\r\n  - other-data/age_grea_PCyGhin.xls: Population by age and sex in Greater Manchester 2017\r\n- Stakeholder city Barcelona\r\n  - other-data/age_barc.xls: Population by age and sex in Barcelona 2018\r\n  - other-data/ch_barc_WHfBLAv.xls: Share of older people per neighbourhood in Barcelona, 2017\r\n  - other-data/ch_barc_CXixwjJ.xls: Change in older population per neighbourhood in Nantes, 2007-2015\r\n- Stakeholder city Zaragoza\r\n  - other-data/age_zara.xls: Population by age and sex in Zaragoza 2018\r\n  - other-data/sh_zara.xls: Share of older people per neighbourhood in Zaragoza, 2018\r\n  - other-data/ch_zara.xls: Change in older population per neighbourhood in Zaragoza, 2004-2018\r\n- Stakeholder country Sweden\r\n  - other-data/age_swed.xls: Population by age and sex in Sweden 2018\r\n  - other-data/ch_swed.xls: Change in older population per municipality in Sweden, 2000-2018\r\n  - other-data/le_swed.xls: Remaining Life expectancy at 65 by sex at NUTS 3. Five-year period 2013-2017\r\n  - other-data/sh_swed.xls: Share of older people per municipality in Sweden, 2018\r\n- Stakeholder country France\r\n  - other-data/age_fran.xls: Population by age and sex in France 2019\r\n  - other-data/ch_fran.xls: Change in older population at NUTS 3 in France, 2000-2018\r\n  - other-data/le_fran.xls: Remaining life expectancy at 65 by sex at NUTS 3 in France 2016\r\n  - other-data/sh_fran.xls: Share of older people at NUTS 3 in France, 2018\r\n- Stakeholder country Norway\r\n  - other-data/age_norw.xls: Population by age and sex in Norway 2018\r\n  - other-data/ch_norw.xls: Change in older population per municipality in Norway, 2000-2018\r\n  - other-data/le_norw.xls: Remaining life expectancy at 65 by sex at NUTS 3 in Norway. Five-year period 2011-2015\r\n  - other-data/sh_norw.xls: Share of older people per municipality in Norway, 2018\r\n- Stakeholder country United Kingdom\r\n  - other-data/age_unit.xls: Population by age and sex in the United Kingdom, 2017\r\n  - other-data/ch_unit.xls: Change in older population per district in the United Kingdom, 2001-2017\r\n  - other-data/le_unit.xls: Remaining life expectancy at 65 by sex in United Kingdom local authority districts. Three-year perio\r\n  - other-data/sh_unit.xls: Share of older people per district in the United Kingdom, 2018\r\n- Stakeholder country Spain\r\n  - other-data/age_spai.xls: Population by age and sex in Spain, 2017\r\n  - other-data/ch_spai.xls: Change in older population per municipality in Spain, 2000-2018\r\n  - other-data/le_spai.xls: Remaining life expectancy at 65 by sex in Spain at NUTS 3, 2017\r\n  - other-data/sh_spai.xls: Share of older people per municipality in Spain, 2018\r\n- Stakeholder country the Netherlands\r\n  - other-data/age_neth.xls: Population by age and sex in the Netherlands 2018\r\n  - other-data/ch_neth.xls: Change in older population per province in the Netherlands, 2000-2017\r\n  - other-data/le_neth.xls: Remaining life expectancy at 65 by sex at NUTS 3 in the Netherlands. Four-year period 2013-2016\r\n  - other-data/sh_neth.xls: Share of older people per municipality the Netherlands, 2017\r\n- Share of older population in european countries past and projected\r\n  - other-data/sh_eupro.xls: Population aged 65 and over as a share of total population in Europe 2000-2030\r\n- Number of policy priorities per WHO policy domain\r\n  - other-data/polwho.xls: Number of policy priorities per WHO policy domain\r\n\r\n","project":"ACPA - Adapting European Cities to Population","project_abstract":"The European population is ageing rapidly, and this is particularly evident in the cities. According to Eurostat, the number of people aged 65 and over will almost double from 17% to 30% by 2060, and those aged 80 and over will rise from 5% to 12%. This significant demographic change is perceived as a major challenge for Europe’s social and health systems.\r\n\r\nThe eight stakeholders involved in ACPA, Amsterdam, Barcelona, Gothenburg, Hengelo, Greater Manchester, Nantes, Oslo and Zaragoza, have some of the highest percentages (>20%) of older people in their population in Europe, projected to increase to over 30% by 2030. These cities also experience increasing levels of transnational migration, spatial segregation, and pockets of deprivation, which impact on the lives of older people. Consequently, these cities need to adapt their policies and deliveries to better meet the needs of older residents.\r\n\r\nMany cities have started developing and implementing age-friendly programmes. However, the main challenge for cities is less that we are living longer, but more that we are spending too many of our old age years in an urban environment designed by and for a younger and economically active population. This is an issue which has become an increasing challenge to the EU, and a number of initiatives have recently been launched by the European Commission to create awareness and provide support in dealing with these challenges.\r\n\r\nESPON ACPA will investigate the effectiveness of policies and initiatives to develop age-friendly cities and initiatives that support “ageing in place” in eight cities and city-regions. ACPA’s results will directly feed into the adaptation and development of policies and action plans related to age-friendly cities and social programmes including post-2020 cohesion policy.","project_url":"https://www.espon.eu/ACPA","type":"Project Package","publication_date":null,"archive":[{"name":"project_acpa-adapting-european-cities-to-population.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/1521/project_acpa-adapting-european-cities-to-population.zip","file_size":"2.4 MB"}],"status":"Published"},{"id":1645,"name":"ENSURE - EuropeaN Sustainable Urbanisation through port city REgeneration","abstract":"# ESPON project package: 'ENSURE - EuropeaN Sustainable Urbanisation through port city REgeneration'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: ENSURE - EuropeaN Sustainable Urbanisation through port city REgeneration\r\n- Url: https://www.espon.eu/ENSURE\r\n- Id: 44\r\n- Update: June 11, 2020, 6:57 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nThe project ENSURE: European Sustainable Urbanisation through port city Regeneration, is a targeted analysis carried out as part of the ESPON 2020 Programme under Specific Objective 2 “Upgraded knowledge transfer and use of analytical user support”, which encourages the reinforcement of national and regional territorial development policies, through the production, dissemination and promotion of territorial evidence. \r\r\n\r\r\nThe project involves ESPON EGTC, the four stakeholder cities of Cork as lead city (IE), and 3 partner cities of Aalborg (DK), Brest (FR), and Catania (IT) , and a group of consultants and researchers from Ramboll (BE, DK), University College Dublin (IE) and University of Catania (IT).\r\r\n\r\r\nThe objectives of the project are (1) to provide insights to policy makers on the potential regional impact of port city regeneration as drivers of European sustainable urbanisation,\r\r\ngrowth and resilience; and (2) to provide municipalities with a better understanding of the frameworks, methods, tools and instruments which can enable, inspire and facilitate the\r\r\nimplementation of sustainable port city regeneration.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\nNone\r\n\r\n\r\n## Other Data\r\n\r\n- Bilbao\r\n  - other-data/pcng_bbm_Data_Metadata__Distribution_info.xls: Bilbao population change 2009-2017\r\n- Catania\r\n  - other-data/agep_cat_Data_Metadata__Distribution_info.xls: Age pyramid, municipality of Catania population\r\n- Study Case - Aalborg\r\n  - other-data/AbNs_pop_Data_Metadata__Distribution_info.xls: Population in Aalborg and Norresundby\r\n  - other-data/aggr_819_Data_Metadata__Distribution_info.xls: Size of selected age groups in Aalburg 2008-2019\r\n  - other-data/pagb_818_Data_Metadata__Distribution_info.xls: Population growth patterns in the Municipality of Aalborg 2008-2018\r\n  - other-data/pgrw_818_Data_Metadata__Distribution_info.xls: Average annual population growth rates 2008-2018\r\n  - other-data/pinc_avg_Data_Metadata__Distribution_info.xls: Average personal income\r\n  - other-data/youth_dv_Data_Metadata__Distribution_info.xls: % development of youth (20-24)\r\n- Shared indicators in case studies\r\n  - other-data/4cts_pop_Data_Metadata__Distribution_info.xls: Urban and regional populations in the four case cities\r\n  - other-data/Tons_cts_Data_Metadata__Distribution_info.xls: Annual tonnages of the four case cities\r\n- Study case - Brest\r\n  - other-data/pop_7615_Data_Metadata__Distribution_info.xls: Evolution of the population in Brest municipality between 1876 and 2015\r\n  - other-data/sec_9816_Data_Metadata__Distribution_info.xls: Split of job sectors in Brest between 1998 and 2016\r\n  - other-data/tour_mba_Data_Metadata__Distribution_info.xls: Top 3 Touristic Attractions in Brest Metropolitan Area\r\n  - other-data/Trade_817_Data_Metadata__Distribution_info.xls: Evolution of annual trade traffic in the commercial port of Brest (in tonnes) between 2008 and 2017\r\n  - other-data/wage_pdb_Data_Metadata__Distribution_info.xls: Share of salaries within Pays de Brest originating from organisations located within Brest metropole\r\n- Basel\r\n  - other-data/pcng_bsl_Data_Metadata__Distribution_info.xls: Basel population change (2009-2016)\r\n  - other-data/pcng_bsm_Data_Metadata__Distribution_info.xls: Basel Metropolitan population change (2009-2017)\r\n- Split\r\n  - other-data/pcng_spl_Data_Metadata__Distribution_info.xls: Split population change (2013-2017)\r\n  - other-data/Vess_spl_Data_Metadata__Distribution_info.xls: Vessels in main ports by type and size of vessels\r\n- Europe\r\n  - other-data/smpc_eu.xls: Small and medium port cities in EU - types of regeneration\r\n  - other-data/smpc_siz.xls: Small and medium port cities in EU - population size\r\n\r\n","project":"ENSURE - EuropeaN Sustainable Urbanisation through port city REgeneration","project_abstract":"The project ENSURE: European Sustainable Urbanisation through port city Regeneration, is a targeted analysis carried out as part of the ESPON 2020 Programme under Specific Objective 2 “Upgraded knowledge transfer and use of analytical user support”, which encourages the reinforcement of national and regional territorial development policies, through the production, dissemination and promotion of territorial evidence. \r\n\r\nThe project involves ESPON EGTC, the four stakeholder cities of Cork as lead city (IE), and 3 partner cities of Aalborg (DK), Brest (FR), and Catania (IT) , and a group of consultants and researchers from Ramboll (BE, DK), University College Dublin (IE) and University of Catania (IT).\r\n\r\nThe objectives of the project are (1) to provide insights to policy makers on the potential regional impact of port city regeneration as drivers of European sustainable urbanisation,\r\ngrowth and resilience; and (2) to provide municipalities with a better understanding of the frameworks, methods, tools and instruments which can enable, inspire and facilitate the\r\nimplementation of sustainable port city regeneration.","project_url":"https://www.espon.eu/ENSURE","type":"Project Package","publication_date":null,"archive":[{"name":"project_ensure-european-sustainable-urbanisation-through-port-city-regeneration.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/1645/project_ensure-european-sustainable-urbanisation-through-port-city-regeneration.zip","file_size":"235.4 KB"}],"status":"Published"},{"id":1656,"name":"YUTRENDS - Youth Unemployment: Territorial Trends and Regional Resilience","abstract":"# ESPON project package: 'YUTRENDS - Youth Unemployment: Territorial Trends and Regional Resilience'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: YUTRENDS - Youth Unemployment: Territorial Trends and Regional Resilience\r\n- Url: https://www.espon.eu/youth-unemployment\r\n- Id: 33\r\n- Update: July 1, 2021, 3:47 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nThe main objective of the The ESPON project YUTRENDS is to provide territorial evidence on youth unemployment trend and to propose recommendations for how territorial cohesion policy can contribute to strengthening the resilience in European regions against youth unemployment and enhancing the implementation of the Youth Guarantee, Youth Employment and the EURES Initiatives.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\nNone\r\n\r\n\r\n## Other Data\r\n\r\n- Youth unemployment rate, 18-24 years old (%), 2008, 2012, 2016\r\n  - other-data/YUTRENDS_frp_01YU_M5xhMMh.xls: YUTRENDS_frp_01YU_M5xhMMh.xls\r\n- Evolution of Regional Performance in Youth Integration in the Labour Market\r\n  - other-data/YUTRENDS_erp_ylmi_WoQd7mj.xls: YUTRENDS_erp_ylmi_WoQd7mj.xls\r\n- Unemployment Evolution\r\n  - other-data/YUTRENDS_evfrp_ue_OvY29OH.xls: YUTRENDS_evfrp_ue_OvY29OH.xls\r\n- Final RP factors 2 Unemployed\r\n  - other-data/YUTRENDS_frp_i2f_zP4aVx9.xls: YUTRENDS_frp_i2f_zP4aVx9.xls\r\n- Regional Performance Indicator, subgroups\r\n  - other-data/YUTRENDS_frp_sugr_2njiZvT.xls: YUTRENDS_frp_sugr_2njiZvT.xls\r\n- YU rate 18-24 years old\r\n  - other-data/YUTRENDS_indx1_yu_rrjs53V.xls: YUTRENDS_indx1_yu_rrjs53V.xls\r\n- Unemployment rate 25 and over\r\n  - other-data/YUTRENDS_indx2_ou_bYQr0UC.xls: YUTRENDS_indx2_ou_bYQr0UC.xls\r\n- Location Quotient of Youth Unemployment\r\n  - other-data/YUTRENDS_indx4_lq_pXtoJVl.xls: YUTRENDS_indx4_lq_pXtoJVl.xls\r\n- Not in Education, Employment of Training (NEETs) rates\r\n  - other-data/YUTRENDS_indx5_ne_BiePTrj.xls: YUTRENDS_indx5_ne_BiePTrj.xls\r\n- Typologisation of regional performance across education and employment levels\r\n  - other-data/YUTRENDS_profil_ty_LNusBGi.xls: YUTRENDS_profil_ty_LNusBGi.xls\r\n- Best Worst performing Regions 2012-2016\r\n  - other-data/YUTRENDS_worsbest_pOzDsY2.xls: YUTRENDS_worsbest_pOzDsY2.xls\r\n- Youth Unemployed as ration of total Unemployed\r\n  - other-data/YUTRENDS_yuou_rat_x45BqQR.xls: YUTRENDS_yuou_rat_x45BqQR.xls\r\n- Final RP factors 1 Unemployed\r\n  - other-data/YUTRENDS_frp_i1f.xls: YUTRENDS_frp_i1f.xls\r\n- Youth economic activity rate\r\n  - other-data/YUTRENDS_v5.xls: Youth economic activity rate\r\n- Youth employment per education attainment (Level 0-2)\r\n  - other-data/YUTRENDS_V11a.xls: Youth employment ISCED 0-2\r\n- Youth employment per education attainment (Level 5-8)\r\n  - other-data/YUTRENDS_V11c.xls: Youth employment ISCED 5-8\r\n- Youth average weekly hours of work in main Job\r\n  - other-data/YUTRENDS_V13.xls: Youth average working hours\r\n- GDP per capita in PPP\r\n  - other-data/YUTRENDS_V15a.xls: GPD pc PPP\r\n\r\n","project":"YUTRENDS - Youth Unemployment: Territorial Trends and Regional Resilience","project_abstract":"The main objective of the The ESPON project YUTRENDS is to provide territorial evidence on youth unemployment trend and to propose recommendations for how territorial cohesion policy can contribute to strengthening the resilience in European regions against youth unemployment and enhancing the implementation of the Youth Guarantee, Youth Employment and the EURES Initiatives.","project_url":"https://www.espon.eu/youth-unemployment","type":"Project Package","publication_date":null,"archive":[{"name":"project_yutrends-youth-unemployment-territorial-trends-and-regional-resilience.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/1656/project_yutrends-youth-unemployment-territorial-trends-and-regional-resilience.zip","file_size":"437.9 KB"}],"status":"Published"},{"id":962,"name":"LinkPAs - Linking Networks of Protected Areas to Territorial Development","abstract":"# ESPON project package: 'LinkPAs - Linking Networks of Protected Areas to Territorial Development'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: LinkPAs - Linking Networks of Protected Areas to Territorial Development\r\n- Url: https://www.espon.eu/protected-areas\r\n- Id: 8\r\n- Update: March 15, 2019, 3:25 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nTheme: Networks of protected areas; sustainable territorial development\r\r\n\r\r\nScope\r\r\nThis targeted analysis addresses mountain territories where high degrees of biodiversity and natural capital hotspots are localised, and experiences on their preservation, management and monitoring were gathered. Mountains cover 41% of the territory in the ESPON space and are home to 17% of its population with 16 massifs (ESPON GEOSPECS 2013). Mountains can be seen as “inner peripheries”, “marginal” areas from a socio-economic perspective (ESPON, “Inner Peripheries”, 2016), where the issue of accessibility to services should also include ecosystemic ones (MiSE, “Inner areas”, 2015). Mountain issues assume relevance in key themes for sustainable territorial development such as ecological connectivity and natural resources management (e.g. water, forests, soil). The U.N. Sustainable Development Goals mention mountains with reference to water management, efficient use of natural resources, ecosystem and biodiversity, ensuring mountain ecosystems conservation and enhancing their ability to provide benefits that are essential for sustainable development. In this sense NPAs contribute to defining common visions and scenarios for sustainable development of homogeneous areas. Endogenous natural capital can thus contribute to sustainable regional economic cycles and provide inputs for a green economy that NPAs should be able to promote. The ecological conditions and vulnerability of the territory require also strategic and integrated policies for both natural and urban areas.\r\r\n\r\r\nAccording to IUCN (International Union for Conservation of Nature and Natural Resources) a protected area is a clearly defined geographical space, recognised, dedicated and managed through legal or other effective means, to achieve the long-term conservation of nature with associated ecosystem services and cultural values. Europe’s Natura 2000 and the Emerald network under development are international European networks of protected areas that catalyse biodiversity conservation.\r\r\n\r\r\nThe topic deserves being tackled with a wider territorial and spatial planning perspective, embracing core natural areas and related buffer zones and urban areas. At EU level, valuable experiences are the specific Protocols of the Alpine and Carpathian Conventions recalling the necessity for NPAs and the integration of the objective of conservation and sustainable use of natural assets into sectoral policies. In this sense, NPAs contribute to achieve EU and international objectives. The EU Biodiversity Strategy to 2020 encourages cooperation and dialogue with key sectors and stakeholders, as well as the development of mechanisms for biodiversity (e.g. Business@Biodiversity Platform; The Economics of Ecosystems and Biodiversity initiative), ensuring that these issues are reflected in decision-making at all levels.\r\r\n\r\r\nA territorial development approach based on NPAs could also be transferred to other types of territories, whether they are mountainous (Pyrenees, Dinaric Alps) or not (e.g. coast-maritime areas as with the Adriatic Protected Areas Network, DANUBEPARKS, the network of protected areas along the Danube River). It represents a perspective for both ESPON countries with no experience in NPAs and non-ESPON countries (e.g. Bosnia Herzegovina, Serbia, Montenegro, Albania) seeking to integrate natural capital into territorial strategies and meet EU targets. \r\r\n\r\r\nPolicy questions\r\r\nWhich different types of NPAs exist across European mountain regions in general and in the stakeholder territories (i.e. Abruzzo Region, European Park Alpi Marittime Mercantour, ALPARC territory, Razlog Municipality, Maritime Alps) in particular?\r\r\nHow and to what extent do NPAs contribute to developing and implementing territorial development strategies? Which policy sectors do they mainly impact on (e.g. sustainable tourism, environmental protection, climate change adaptation, urban and spatial planning)? What kind of actions and/or policies are needed to ensure a sustainable and integrated management of natural resources in mountain areas?\r\r\nAre NPAs able to support local business development? Which are the main economic sectors affected? Which schemes (e.g. financial and legal framework, policy dialogue and cross-sectoral approaches, stakeholder involvement methods, policy cycle assessment) can be used to involve local actors, particularly SMEs, and mobilize private sector investment? Do NPAs support green jobs and business creation at the local level?\r\r\nHow can framework conditions be created in mountain regions for strengthening the relationship between protected areas and citizens of those regions and the surroundings?\r\r\nHow do citizens benefit from cross-sectoral strategies developed within NPAs for a sustainable use of natural resources? Which opportunities exist to increase the awareness of civil society for the role of NPAs in the management of natural resources and how can their quality of life be improved by fostering the development of NPAs?\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_781_protarea_csv_T1pSE0E.zip: Protected areas (total surface) (ProtArea)\r\n- main-data/ind_775_proporpa_csv_KZ6VpYB.zip: Protected areas (share) (ProporPA)\r\n- main-data/non-std/ind_779_cdda_eur.zip: Nationally designated areas (CDDA_eur)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- Number of municipalites by NUTS3\r\n  - other-data/DB2020_No_of_municipalities_by_NUTS3_OtherData_GuMdHlq.xls: DB2020_No of municipalities by NUTS3_OtherData\r\n- Overnight stays\r\n  - other-data/DB2020_Overnightstays_2015_OtherData_uvyT9Gq.xls: DB2020_Overnightstays_2015_OtherData\r\n- Production of municipal waste by NUTS2 level in 2012\r\n  - other-data/DB2020_Production_of_municipal_waste_by_NUTS_2_OtherData_ekVxw01.xls: Production of municipal waste by NUTS2 level in 2012\r\n- GDP growth rate\r\n  - other-data/DB2020_GDP_growth_rate_2009_2014_OtherData_Snxs25i.xls: DB2020_GDP_growth_rate_2009_2014_OtherData\r\n\r\n","project":"LinkPAs - Linking Networks of Protected Areas to Territorial Development","project_abstract":"Theme: Networks of protected areas; sustainable territorial development\r\n\r\nScope\r\nThis targeted analysis addresses mountain territories where high degrees of biodiversity and natural capital hotspots are localised, and experiences on their preservation, management and monitoring were gathered. Mountains cover 41% of the territory in the ESPON space and are home to 17% of its population with 16 massifs (ESPON GEOSPECS 2013). Mountains can be seen as “inner peripheries”, “marginal” areas from a socio-economic perspective (ESPON, “Inner Peripheries”, 2016), where the issue of accessibility to services should also include ecosystemic ones (MiSE, “Inner areas”, 2015). Mountain issues assume relevance in key themes for sustainable territorial development such as ecological connectivity and natural resources management (e.g. water, forests, soil). The U.N. Sustainable Development Goals mention mountains with reference to water management, efficient use of natural resources, ecosystem and biodiversity, ensuring mountain ecosystems conservation and enhancing their ability to provide benefits that are essential for sustainable development. In this sense NPAs contribute to defining common visions and scenarios for sustainable development of homogeneous areas. Endogenous natural capital can thus contribute to sustainable regional economic cycles and provide inputs for a green economy that NPAs should be able to promote. The ecological conditions and vulnerability of the territory require also strategic and integrated policies for both natural and urban areas.\r\n\r\nAccording to IUCN (International Union for Conservation of Nature and Natural Resources) a protected area is a clearly defined geographical space, recognised, dedicated and managed through legal or other effective means, to achieve the long-term conservation of nature with associated ecosystem services and cultural values. Europe’s Natura 2000 and the Emerald network under development are international European networks of protected areas that catalyse biodiversity conservation.\r\n\r\nThe topic deserves being tackled with a wider territorial and spatial planning perspective, embracing core natural areas and related buffer zones and urban areas. At EU level, valuable experiences are the specific Protocols of the Alpine and Carpathian Conventions recalling the necessity for NPAs and the integration of the objective of conservation and sustainable use of natural assets into sectoral policies. In this sense, NPAs contribute to achieve EU and international objectives. The EU Biodiversity Strategy to 2020 encourages cooperation and dialogue with key sectors and stakeholders, as well as the development of mechanisms for biodiversity (e.g. Business@Biodiversity Platform; The Economics of Ecosystems and Biodiversity initiative), ensuring that these issues are reflected in decision-making at all levels.\r\n\r\nA territorial development approach based on NPAs could also be transferred to other types of territories, whether they are mountainous (Pyrenees, Dinaric Alps) or not (e.g. coast-maritime areas as with the Adriatic Protected Areas Network, DANUBEPARKS, the network of protected areas along the Danube River). It represents a perspective for both ESPON countries with no experience in NPAs and non-ESPON countries (e.g. Bosnia Herzegovina, Serbia, Montenegro, Albania) seeking to integrate natural capital into territorial strategies and meet EU targets. \r\n\r\nPolicy questions\r\nWhich different types of NPAs exist across European mountain regions in general and in the stakeholder territories (i.e. Abruzzo Region, European Park Alpi Marittime Mercantour, ALPARC territory, Razlog Municipality, Maritime Alps) in particular?\r\nHow and to what extent do NPAs contribute to developing and implementing territorial development strategies? Which policy sectors do they mainly impact on (e.g. sustainable tourism, environmental protection, climate change adaptation, urban and spatial planning)? What kind of actions and/or policies are needed to ensure a sustainable and integrated management of natural resources in mountain areas?\r\nAre NPAs able to support local business development? Which are the main economic sectors affected? Which schemes (e.g. financial and legal framework, policy dialogue and cross-sectoral approaches, stakeholder involvement methods, policy cycle assessment) can be used to involve local actors, particularly SMEs, and mobilize private sector investment? Do NPAs support green jobs and business creation at the local level?\r\nHow can framework conditions be created in mountain regions for strengthening the relationship between protected areas and citizens of those regions and the surroundings?\r\nHow do citizens benefit from cross-sectoral strategies developed within NPAs for a sustainable use of natural resources? Which opportunities exist to increase the awareness of civil society for the role of NPAs in the management of natural resources and how can their quality of life be improved by fostering the development of NPAs?","project_url":"https://www.espon.eu/protected-areas","type":"Project Package","publication_date":"2019-01-24T18:29:31.381057+01:00","archive":[{"name":"project_linkpas-linking-networks-of-protected-areas-to-territorial-development.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/962/project_linkpas-linking-networks-of-protected-areas-to-territorial-development.zip","file_size":"712.1 MB"}],"status":"Published"},{"id":1053,"name":"Alps2050 – Common Spatial Perspectives for the Alpine Area","abstract":"# ESPON project package: 'Alps2050 – Common Spatial Perspectives for the Alpine Area'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: Alps2050 – Common Spatial Perspectives for the Alpine Area\r\n- Url: https://www.espon.eu/Alps2050\r\n- Id: 14\r\n- Update: Aug. 20, 2019, 7:19 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nThe ESPON project Alps 2050 developed a rich basis for debates on the future development of the Alpine region: It has illustrated the complexity of the spatial patterns, the challenges for sustainable and cohesive development, and the political options to balance the most promising options.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_1018_emp_nace_csv.zip: Employment change (%) (emp_nace)\r\n- main-data/ind_1016_emp_csv.zip: Employment (total) (emp)\r\n- main-data/ind_1015_forg_pop_csv.zip: Foreign residents (share) (forg_pop)\r\n- main-data/ind_1013_foreign_csv_LpwUXHh.zip: Foreign residents (total) (foreign)\r\n- main-data/ind_1014_pop_csv_Nf2QRtw.zip: Population (pop)\r\n- main-data/ind_1011_pop_csv.zip: Population (pop)\r\n- main-data/ind_1012_ov_stays_csv_nLWtVs4.zip: Overnight stays (total, per 100 inhabitants) (ov_stays)\r\n- main-data/ind_1010_stays_csv.zip: Overnight stays (total) (stays)\r\n- main-data/ind_1021_pata_pop_csv.zip: Regional typology: patents applications vs. population change (pata_pop)\r\n- main-data/ind_1020_pop_dev_csv.zip: Population change (%) (pop_dev)\r\n- main-data/ind_1019_pat_csv_7X48kVp.zip: Patents per million inhabitants (pat)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- Ageing index based on population between 0-14 and population over 65 (updated LAU)\r\n  - other-data/age_indx_FoSpbVL.xls: age_indx_FoSpbVL.xls\r\n- Daily average number of all vehicles for freight and persons (passes)\r\n  - other-data/allvehic_OvJbSE4.xls: allvehic_OvJbSE4.xls\r\n- Bedplaces (NUTS3)\r\n  - other-data/bedplace.xls: bedplace.xls\r\n- Category of DEGURBA classification (LAU)\r\n  - other-data/degurba__UyeG51I.xls: degurba__UyeG51I.xls\r\n- Employment in NACE sector A (NUTS3)\r\n  - other-data/e_nace_a.xls: e_nace_a.xls\r\n- Combination of the indicators employment in NACE sector A and beplaces per 100 inhabitants (NUTS 3)\r\n  - other-data/emp_bepl_KZDbUxK.xls: emp_bepl_KZDbUxK.xls\r\n- Total freight transport crossing the Alps in Mio. t (passes)\r\n  - other-data/frgt_tot_dc74wmT.xls: frgt_tot_dc74wmT.xls\r\n- Transalpine traffic on road and rail in mio. t (passes)\r\n  - other-data/frgtmode_40XQOg1.xls: frgtmode_40XQOg1.xls\r\n- Transalpine traffic for domestic and transit purposes in mio. t (passes)\r\n  - other-data/frgtpurp_kmzGJfI.xls: frgtpurp_kmzGJfI.xls\r\n- GDP/head in PPS combined with potential for electricity generation from renewable energy sources in MWh/km² and ESPON regional typology (NUTS 3)\r\n  - other-data/gdp_ener_qfhgaHS.xls: gdp_ener_qfhgaHS.xls\r\n- GDP/capita in pps, population density and inhabitants\r\n  - other-data/gdppopde_QpKt44d.xls: gdppopde_QpKt44d.xls\r\n- Population change per municipality combined with categories of DEGURBA classification (LAU)\r\n  - other-data/pop_deg1_Ed1aQfz.xls: pop_deg1_Ed1aQfz.xls\r\n- Population change per municipality combined with categories of DEGURBA classification and classification in Pre- and inner-Alpine areas (LAU)\r\n  - other-data/pop_deg2_JQRAx6X.xls: pop_deg2_JQRAx6X.xls\r\n- Inhabitants per municipality (updated LAU)\r\n  - other-data/pop_muni_vKi3u5p.xls: pop_muni_vKi3u5p.xls\r\n- Speed of fastest rail connection, number of connections (links)\r\n  - other-data/rail_spe_R2k2CDB.xls: rail_spe_R2k2CDB.xls\r\n- Soil sealing (imperviousness) (Grid)\r\n  - other-data/soil100m_Metadata_-_including_usage_constraints.docx: soil100m_Metadata_-_including_usage_constraints.docx\r\n  - other-data/soil100m.zip: soil100m.zip\r\n- Annual changes sealed area/land area (Grid)\r\n  - other-data/soil_10km_Metadata_-_including_usage_constraints.docx: soil_10km_Metadata_-_including_usage_constraints.docx\r\n  - other-data/soil_10km.zip: soil_10km.zip\r\n\r\n","project":"Alps2050 – Common Spatial Perspectives for the Alpine Area","project_abstract":"The ESPON project Alps 2050 developed a rich basis for debates on the future development of the Alpine region: It has illustrated the complexity of the spatial patterns, the challenges for sustainable and cohesive development, and the political options to balance the most promising options.","project_url":"https://www.espon.eu/Alps2050","type":"Project Package","publication_date":null,"archive":[{"name":"project_alps2050-common-spatial-perspectives-for-the-alpine-area.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/1053/project_alps2050-common-spatial-perspectives-for-the-alpine-area.zip","file_size":"82.9 MB"}],"status":"Published"},{"id":2220,"name":"ERMES - European Research for Maritime Eco(nomic)clusters governance Strategy","abstract":"# ESPON project package: 'ERMES - European Research for Maritime Eco(nomic)clusters governance Strategy'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: ERMES - European Research for Maritime Eco(nomic)clusters governance Strategy\r\n- Url: https://www.espon.eu/ermes\r\n- Id: 58\r\n- Update: June 1, 2021, 8:57 a.m.\r\n\r\n\r\n### Abstract\r\n\r\n\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\nNone\r\n\r\n\r\n## Other Data\r\n\r\n- Inbound-outbound trade flows in major European ports (2019)\r\n  - other-data/Map01_trade_flows_pqEFKNP.xls: Inbound-outbound trade flows in major European ports (data)\r\n  - other-data/PORT_PT_2013_trade_flows.zip: Inbound-outbound trade flows in major European ports (shp)\r\n- Core ports and Motorways of the Sea\r\n  - other-data/Map02_MoSCorePorts.xls: TEN-T EU core ports and motorways of the Sea (excel)\r\n- Development stage of urban maritime-eco-clusters (2020)\r\n  - other-data/Map09_cluster_eco_readiness.gpkg: Development stage of urban maritime-eco-clusters (gpkg)\r\n  - other-data/Map09_Territorial_and_eco_readiness_for_cluster_dev.xls: Development stage of urban maritime-eco-clusters (xls)\r\n- Maritime transport of passengers - embarked and disembarked (2018)\r\n  - other-data/Map03_Maritime_Passengers.gpkg: Maritime transport of passengers - embarked and disembarked (shp/gpkg)\r\n  - other-data/Map03_Maritime_passengers.xls: Maritime transport of passengers - embarked and disembarked (xls)\r\n- Maritime trade profiles in ports of Liguria, Crete, East Flanders and Malta and neighbouring regions\r\n  - other-data/Map04_maritime_trade_profile.xls: Maritime trade profiles in ports of Liguria, Crete, East Flanders and Malta and neighbouring (xls)\r\n- Ferry connections (passengers) from and to Liguria, Crete and Malta (2020)\r\n  - other-data/Map05_passenger_connections.xls: Ferry connections (passengers) from and to Liguria, Crete and Malta (xls)\r\n\r\n","project":"ERMES - European Research for Maritime Eco(nomic)clusters governance Strategy","project_abstract":"","project_url":"https://www.espon.eu/ermes","type":"Project Package","publication_date":null,"archive":[{"name":"project_ermes-european-research-for-maritime-economicclusters-governance-strategy.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/2220/project_ermes-european-research-for-maritime-economicclusters-governance-strategy.zip","file_size":"484.4 KB"}],"status":"Published"},{"id":2104,"name":"SUPER - Sustainable Urbanization and land-use Practices in European Regions","abstract":"# ESPON project package: 'SUPER - Sustainable Urbanization and land-use Practices in European Regions'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: SUPER - Sustainable Urbanization and land-use Practices in European Regions\r\n- Url: https://www.espon.eu/super\r\n- Id: 49\r\n- Update: Nov. 30, 2020, 10:58 a.m.\r\n\r\n\r\n### Abstract\r\n\r\n\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_2025_agr_shar_csv_01YLmki.zip: Percentage share of agricultural areas in 2018 (agr_shar)\r\n- main-data/ind_2026_uf_art_csv_ugD2qrq.zip: Intensity of urban fabric (uf_art)\r\n- main-data/ind_2027_uu_share_csv_sNwfIdF.zip: Percentage share of urban use areas in 2018 (uu_share)\r\n- main-data/ind_2018_uu_pop_csv_GYO2prq.zip: Development of urban use areas in relation to population development (uu_pop)\r\n- main-data/ind_2015_ind_cap_csv_5ehXvdl.zip: Development of industrial areas per capita (ind_cap)\r\n- main-data/ind_2017_uf_pop_csv_60a8z5h.zip: Development of urban fabric in relation to population development (uf_pop)\r\n- main-data/ind_2016_uu_cap_csv_ZAfn0uS.zip: Development of urban use per capita (uu_cap)\r\n- main-data/ind_2053_uf_mig_r_csv_Gd0fjGC.zip: Interrelation of developments between urban use areas and migration (uf_Mig_R)\r\n- main-data/ind_2019_uf_pop_r_csv_lQqwsDf.zip: Interrelation of developments between urban fabric areas and population (uf_pop_R)\r\n- main-data/ind_2009_share_pa_csv_X9q26XS.zip: Share of proctected areas in NUTS3 regions (share_pa)\r\n- main-data/ind_2010_pa_ag_csv_2p7vfCD.zip: Share of agricultural area in protected areas (pa_ag)\r\n- main-data/ind_2011_pa_uu_csv_nHopJth.zip: Share of urban use in protected areas (pa_uu)\r\n- main-data/ind_2055_uu_dev_csv_hrwzLON.zip: Long-term development of urban use areas (uu_dev)\r\n- main-data/ind_2058_ghsl_uu_csv_KtypGKi.zip: Densification in terms of GHSL built-up area within CLC urban areas (ghsl_uu)\r\n- main-data/ind_2057_ind_dev_csv_IQqtFTC.zip: Growth in industrial/commercial land use 2000-2018 (ind_dev)\r\n- main-data/ind_2024_uu_top_csv_V9QT3za.zip: Period of the greatest development of urban land use (uu_top)\r\n- main-data/ind_2023_agr_day_csv_8BtjIsZ.zip: Development of agricultural area per day (agr_day)\r\n- main-data/ind_2021_uu_day_csv_8PL4v5B.zip: Development of urban use areas per day (uu_day)\r\n- main-data/ind_2022_nat_day_csv_LDncNp3.zip: Development of natural vegetated areas per day (nat_day)\r\n- main-data/ind_2012_agr_dest_csv_CpI1ZVj.zip: Agricultural land use change: destination land use of largest share (Agr_dest)\r\n- main-data/ind_2056_uu_hot_csv_ye4Mjre.zip: Hotspots of urban use development in the period 2000-2018 (uu_hot)\r\n- main-data/ind_2031_fua_gua_csv_7TYt475.zip: Relation of blue and green areas in FUA's 2018 (FUA_GUA)\r\n- main-data/ind_2032_fua_ch_g_csv_UhSiNgx.zip: Changes of green and blue areas in core cities (FUA_Ch_G)\r\n- main-data/ind_2029_fua_uu_csv_RIW1Wil.zip: Development of urban urban use per capita for the period 2000-2018 per FUA (FUA_uu)\r\n- main-data/ind_2030_fua_uu_p_csv_3xrrmUT.zip: Development of urban use and population for the period 2000-2018 per FUA (FUA_uu_P)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- SUPER morphological analysis\r\n  - other-data/DB2020_SUPER_MORPH.xls: SUPER2020 morphological data\r\n- SUPER GVA\r\n  - other-data/DB2020_SUPER_GVA.xls: DB2020_SUPER_GVA.xls\r\n- SUPER Development of Population\r\n  - other-data/DB2020_SUPER_Population.xls: DB2020_SUPER_Population.xls\r\n- SUPER cluster analysis\r\n  - other-data/DB2020_SUPER_Cluster.xls: SUPER2020 clusteranalysis data\r\n- SUPER GUF analysis\r\n  - other-data/DB2020_SUPER_GUF.xls: SUPER CLC GUF comparison data\r\n- SUPER LUISETTA urban scenario's\r\n  - other-data/DB2020_SUPER_LUISETTA_NUTS0.xls: SUPER2020 LUISETTA national data\r\n  - other-data/DB2020_SUPER_LUISETTA_NUTS2.xls: SUPER2020 LUISETTA NUTS2 data\r\n\r\n","project":"SUPER - Sustainable Urbanization and land-use Practices in European Regions","project_abstract":"","project_url":"https://www.espon.eu/super","type":"Project Package","publication_date":null,"archive":[{"name":"project_super-sustainable-urbanization-and-land-use-practices-in-european-re_W7zBmv9.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/2104/project_super-sustainable-urbanization-and-land-use-practices-in-european-re_W7zBmv9.zip","file_size":"3.6 MB"}],"status":"Published"},{"id":1168,"name":"TIA-CBC Territorial Impact Assessment for Cross-Border Cooperation","abstract":"# ESPON project package: 'TIA-CBC Territorial Impact Assessment for Cross-Border Cooperation'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: TIA-CBC Territorial Impact Assessment for Cross-Border Cooperation\r\n- Url: https://www.espon.eu/TIA-CBC\r\n- Id: 29\r\n- Update: Aug. 20, 2019, 7:26 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nTo date, there is no elaborated territorial impact assessment methodology/model that has proven to be well-suited for assessing the ex-post impacts of CBC programmes. The service provider will develop a step-by-step methodology, describing how to determine the ex-post impact of cross-border cooperation (CBC) programmes on the territorial development of the border regions. A test of the methodology will also be performed in five stakeholder territories by providing evidence on how the elaborated methodology works in practice. It is foreseen that mostly 2007 – 2013 programming period data will be used. This targeted analysis will primarily focus on the following five INTERREG A programmes: Germany – the Netherlands; Sweden - Norway; Romania - Bulgaria; United Kingdom - Ireland (Ireland-Northern Ireland-Scotland); Spain-Portugal (POCTEP)\r\r\nThe objective of this activity is to develop and test a methodology specifically tailored to assess ex-post territorial impacts of CBC programmes. The methodology will allow policy makers and practitioners to obtain evidence on the territorial impact of CBC programmes and help on developing better-informed cross-border policies. The activity will also improve understanding of the data needs to carry out ex-post territorial impact assessment of CBC programmes.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\nNone\r\n\r\n\r\n## Other Data\r\n\r\n- Romania - Bulgaria Case Study\r\n  - other-data/RO-BG_Background_data_J9EfMFA.xls: RO-BG background data\r\n  - other-data/RO-BG_impact_data_bxEtgl3.xls: RO-BG impact data\r\n- Sweden - Norway Case Study\r\n  - other-data/SE-NO_background_data_nSMYA5M.xls: Sweden - Norway background data\r\n  - other-data/SE-NO_impact_data_zTPoUDJ.xls: Sweden - Norway impact data\r\n- Spain - Portugal case study\r\n  - other-data/ES-PT_background_data_bWizBSj.xls: ES-PT Background Data\r\n  - other-data/ES-PT_impact_data_YDiTw8q.xls: ES-PT Impact Data\r\n- Germany - The Netherlands case study\r\n  - other-data/DE-NL_background_data_fn9N8Fk.xls: DE-NL background data\r\n- United Kingdom - Ireland case study\r\n  - other-data/UK-IE_background_data_K0wTxJi.xls: UK-IE background data\r\n\r\n","project":"TIA-CBC Territorial Impact Assessment for Cross-Border Cooperation","project_abstract":"To date, there is no elaborated territorial impact assessment methodology/model that has proven to be well-suited for assessing the ex-post impacts of CBC programmes. The service provider will develop a step-by-step methodology, describing how to determine the ex-post impact of cross-border cooperation (CBC) programmes on the territorial development of the border regions. A test of the methodology will also be performed in five stakeholder territories by providing evidence on how the elaborated methodology works in practice. It is foreseen that mostly 2007 – 2013 programming period data will be used. This targeted analysis will primarily focus on the following five INTERREG A programmes: Germany – the Netherlands; Sweden - Norway; Romania - Bulgaria; United Kingdom - Ireland (Ireland-Northern Ireland-Scotland); Spain-Portugal (POCTEP)\r\nThe objective of this activity is to develop and test a methodology specifically tailored to assess ex-post territorial impacts of CBC programmes. The methodology will allow policy makers and practitioners to obtain evidence on the territorial impact of CBC programmes and help on developing better-informed cross-border policies. The activity will also improve understanding of the data needs to carry out ex-post territorial impact assessment of CBC programmes.","project_url":"https://www.espon.eu/TIA-CBC","type":"Project Package","publication_date":null,"archive":[{"name":"project_tia-cbc-territorial-impact-assessment-for-cross-border-cooperation_mHHFWWx.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/1168/project_tia-cbc-territorial-impact-assessment-for-cross-border-cooperation_mHHFWWx.zip","file_size":"86.1 KB"}],"status":"Published"},{"id":1221,"name":"ETRF - European Territorial Reference Framework","abstract":"# ESPON project package: 'ETRF - European Territorial Reference Framework'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: ETRF - European Territorial Reference Framework\r\n- Url: https://www.espon.eu/etrf\r\n- Id: 28\r\n- Update: Nov. 28, 2019, 3:21 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nThe purpose of this ESPON Applied Research Activity is to respond to the above policy demand and produce, through a substantial pan-European stakeholder dialogue, a Territorial Reference Framework for Europe to inform, catalyse and animate the upcoming policy debate on a Territorial Agenda post-2020. The Applied Research Activity should also help inform other macro-level EU policies, including, for example, the territorial dimension of future Cohesion Policy; the successor to the current Europe 2020 growth strategy; and other territorially relevant sectoral policies, taking account of the lessons of the past.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_1085_indx_gov_csv_kCNTmPK.zip: Quality of Government index (indx_gov)\r\n- main-data/ind_1161_gdpcap1_csv_IjAPNLS.zip: [Forecast] GDP per capita prediction scenario 1: Stable recovery from the crisis scenario (gdpcap1)\r\n- main-data/ind_1162_gdpcap2_csv_oyAe47W.zip: [Forecast] GDP per capita prediction scenario 2 : Economically integrated scenario (gdpcap2)\r\n- main-data/ind_1163_gdpfore1_csv_FC2PFD0.zip: [Forecast] GDP in M€ prediction scenario 1: Stable recovery from the crisis scenario (gdpfore1)\r\n- main-data/ind_1164_gdpfore2_csv_IvQhzo6.zip: [Forecast] GDP in M€ prediction scenario 2 : Economically integrated scenario (gdpfore2)\r\n- main-data/ind_1165_popfore1_csv_78qP6Cv.zip: [Forecast] Population prediction 1: Stable recovery from the crisis scenario (popfore1)\r\n- main-data/ind_1166_popfore2_csv_Wa39L4q.zip: [Forecast] Population prediction 2 : Economically integrated scenario (popfore2)\r\n- main-data/ind_1074_frag-inc_csv_F4EHbWO.zip: Fragmented Europe: Interregional comparison of income (frag-inc)\r\n- main-data/ind_1075_inh-inco_csv_zXO8Ali.zip: Primary income per capita in Purshasing Power Standards (PPS) (inh-inco)\r\n- main-data/ind_1076_gro_inco_csv_Rk7aVHo.zip: Income per capita (change - %) (gro_inco)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- GDP per capita growth prediction 2018-2035\r\n  - other-data/ESPON_ETRF_GDPgrowthPrediction2035_pugm2mg.xls: GDPxCapita_GrowthPrediction\r\n- Key variables tendencies (2020-2050)\r\n  - other-data/ESPON_ETRF_KeyIndicatorPrediction_2020-2050.xls: Key_variable_tendencies_2020-2050\r\n\r\n","project":"ETRF - European Territorial Reference Framework","project_abstract":"The purpose of this ESPON Applied Research Activity is to respond to the above policy demand and produce, through a substantial pan-European stakeholder dialogue, a Territorial Reference Framework for Europe to inform, catalyse and animate the upcoming policy debate on a Territorial Agenda post-2020. The Applied Research Activity should also help inform other macro-level EU policies, including, for example, the territorial dimension of future Cohesion Policy; the successor to the current Europe 2020 growth strategy; and other territorially relevant sectoral policies, taking account of the lessons of the past.","project_url":"https://www.espon.eu/etrf","type":"Project Package","publication_date":null,"archive":[{"name":"project_etrf-european-territorial-reference-framework_fFeNJu9.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/1221/project_etrf-european-territorial-reference-framework_fFeNJu9.zip","file_size":"880.6 KB"}],"status":"Published"},{"id":964,"name":"TIPTAP - Territorial Impact Package for Transport and Agricultural Policies (2013)","abstract":"# ESPON project package: 'TIPTAP - Territorial Impact Package for Transport and Agricultural Policies (2013)'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: TIPTAP - Territorial Impact Package for Transport and Agricultural Policies (2013)\r\n- Url: https://www.espon.eu/programme/projects/espon-2013/applied-research/tiptap-territorial-impact-package-transport-and\r\n- Id: 22\r\n- Update: Feb. 25, 2019, 3:35 p.m.\r\n\r\n\r\n### Abstract\r\n\r\n...\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_718_cap_tim_csv_oK7mKJ3.zip: General territorial impact (CAP policy) (CAP_TIM)\r\n- main-data/ind_719_cap_tim_e1_csv_6vi6yw2.zip: Territorial impact of CAP - on economic growth (CAP_TIM_E1)\r\n- main-data/ind_720_cap_tim_e2_csv_0sHXvA1.zip: Territorial impact of CAP - on unemployment (CAP_TIM_E2)\r\n- main-data/ind_721_cap_tim_e3_csv_iijnm7u.zip: Territorial impact of CAP - on tourism diversification (CAP_TIM_E3)\r\n- main-data/ind_722_cap_tim_q1_csv.zip: Territorial impact of CAP - on environmental quality (CAP_TIM_Q1)\r\n- main-data/ind_723_cap_tim_q2_csv.zip: Territorial impact of CAP - on community viability (CAP_TIM_Q2)\r\n- main-data/ind_724_cap_tim_q3_csv.zip: Territorial impact of CAP - on CO2 emissions (CAP_TIM_Q3)\r\n- main-data/ind_725_cap_tim_q4_csv.zip: Territorial impact of CAP - on soil erosion (CAP_TIM_Q4)\r\n- main-data/ind_726_cap_tim_i1_csv.zip: Territorial impact of CAP - on landscape diversity (CAP_TIM_I1)\r\n- main-data/ind_727_cap_tim_i2_csv.zip: Territorial impact of CAP - on community identity (CAP_TIM_I2)\r\n- main-data/ind_728_cap_tim_i3_csv.zip: Territorial impact of CAP - on heritage products (CAP_TIM_I3)\r\n- main-data/ind_729_cap_tim_e_csv.zip: Territorial impact of CAP - on territorial efficiency (CAP_TIM_E)\r\n- main-data/ind_730_cap_tim_q_csv.zip: Territorial impact of CAP - on territorial quality (CAP_TIM_Q)\r\n- main-data/ind_731_cap_tim_i_csv.zip: Territorial impact of CAP - on territorial identity (CAP_TIM_I)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n\r\n","project":"TIPTAP - Territorial Impact Package for Transport and Agricultural Policies (2013)","project_abstract":"...","project_url":"https://www.espon.eu/programme/projects/espon-2013/applied-research/tiptap-territorial-impact-package-transport-and","type":"Project Package","publication_date":"2019-01-24T18:29:33.732554+01:00","archive":[{"name":"project_tiptap-territorial-impact-package-for-transport-and-agricultural-poli_qbIyTw7.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/964/project_tiptap-territorial-impact-package-for-transport-and-agricultural-poli_qbIyTw7.zip","file_size":"542.9 KB"}],"status":"Published"},{"id":965,"name":"ESPON CLIMATE - Climate Change and Territorial Effects on Regions and Local Economies in Europe (2013)","abstract":"# ESPON project package: 'ESPON CLIMATE - Climate Change and Territorial Effects on Regions and Local Economies in Europe (2013)'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: ESPON CLIMATE - Climate Change and Territorial Effects on Regions and Local Economies in Europe (2013)\r\n- Url: https://www.espon.eu/climate\r\n- Id: 21\r\n- Update: Feb. 25, 2019, 3:35 p.m.\r\n\r\n\r\n### Abstract\r\n\r\n...\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_615_exp_temp_ch_csv_2n71E3s.zip: Change in annual mean temperature (EXP_TEMP_CH)\r\n- main-data/ind_616_exp_frost_ch_csv_IJ6o4oN.zip: Change in annual mean number of frost days (EXP_FROST_CH)\r\n- main-data/ind_617_exp_sdays_ch_csv.zip: Change in annual mean number of summer days (EXP_SDAYS_CH)\r\n- main-data/ind_618_exp_winprec_ch_csv.zip: Relative change in annual mean precipitation in winter months (EXP_WINPREC_CH)\r\n- main-data/ind_619_exp_sumprec_ch_csv.zip: Relative change in annual mean precipitation in summer months (EXP_SUMPREC_CH)\r\n- main-data/ind_620_exp_evap_ch_csv.zip: Relative change in annual mean evaporation (EXP_EVAP_CH)\r\n- main-data/ind_621_exp_snow_ch_csv.zip: Change in annual mean number of days with snow cover (EXP_SNOW_CH)\r\n- main-data/ind_622_exp_hrain_ch_csv.zip: Change in annual mean number of days with heavy rainfall (EXP_HRAIN_CH)\r\n- main-data/ind_623_exp_rf_ch_csv.zip: Change in exposure to river flooding (EXP_RF_CH)\r\n- main-data/ind_624_exp_cf_ch_csv.zip: Change in exposure to coastal storm surge events (EXP_CF_CH)\r\n- main-data/ind_585_clim_imp_csv_ipSHobk.zip: Aggregate impact of climate change on regions (CLIM_IMP)\r\n- main-data/ind_586_clim_imp_econ_csv_tv3rwRv.zip: Potential economic impact of climate change (CLIM_IMP_ECON)\r\n- main-data/ind_587_clim_imp_econ_agrifor_csv.zip: Potential impact of climate change on agriculture and forestry (CLIM_IMP_ECON_AGRIFOR)\r\n- main-data/ind_588_clim_imp_econ_tour_csv.zip: Potential impact of climate change on tourism (CLIM_IMP_ECON_TOUR)\r\n- main-data/ind_589_clim_imp_econ_ener_csv.zip: Potential impact of climate change on the energy sector (CLIM_IMP_ECON_ENER)\r\n- main-data/ind_590_clim_imp_phys_csv_BjHT3Bg.zip: Potential physical impact of climate change (CLIM_IMP_PHYS)\r\n- main-data/ind_591_clim_imp_phys_pow_csv.zip: Potential impact of climate change on thermal power stations and refineries (CLIM_IMP_PHYS_POW)\r\n- main-data/ind_592_clim_imp_phys_airhar_csv.zip: Potential impact of climate change on airports and harbours (CLIM_IMP_PHYS_AIRHAR)\r\n- main-data/ind_593_clim_imp_phys_roadrail_csv.zip: Potential impact of climate change on railways and major roads (CLIM_IMP_PHYS_ROADRAIL)\r\n- main-data/ind_594_clim_imp_phys_sett_csv.zip: Potential impact of climate change on settlements (CLIM_IMP_PHYS_SETT)\r\n- main-data/ind_596_clim_imp_soc_pop-heat_csv.zip: Potential impacts of changes in summer heat on population (CLIM_IMP_SOC_POP-HEAT)\r\n- main-data/ind_597_clim_imp_soc_pop-cf_csv.zip: Potential impact of changes in inundation heights of a sea level rise (CLIM_IMP_SOC_POP-CF)\r\n- main-data/ind_598_clim_imp_soc_pop-rf_csv.zip: Potential impact of changes in river flooding on population (CLIM_IMP_SOC_POP-RF)\r\n- main-data/ind_599_clim_imp_soc_pop-ff_csv.zip: Potential impact of changes in flash floods on population (CLIM_IMP_SOC_POP-FF)\r\n- main-data/ind_600_clim_imp_cult_csv_9i4CimM.zip: Potential cultural impact of climate change (CLIM_IMP_CULT)\r\n- main-data/ind_601_clim_imp_cult_mus_csv_XQ7isqf.zip: Potential impact of climate change on museums (CLIM_IMP_CULT_MUS)\r\n- main-data/ind_602_clim_imp_cult_whs_csv_6eZEZKW.zip: Potential impact of climate change on World Heritage Sites (CLIM_IMP_CULT_WHS)\r\n- main-data/ind_603_clim_imp_env_csv_r5R73uZ.zip: Potential environmental impact of climate change (CLIM_IMP_ENV)\r\n- main-data/ind_604_clim_imp_env_carb_csv_uqjb5gn.zip: Potential impact of climate change on soil organic carbon content (CLIM_IMP_ENV_CARB)\r\n- main-data/ind_605_clim_imp_env_soil_csv_02Ov0gx.zip: Potential impact of changes in heavy rainfall on soil erosion (CLIM_IMP_ENV_SOIL)\r\n- main-data/ind_606_clim_imp_env_prot_csv_m2pjuVg.zip: Potential impact of climate change on NATURA 2000 protected areas (CLIM_IMP_ENV_PROT)\r\n- main-data/ind_607_clim_imp_env_fire_csv_sjzJC3N.zip: Potential impact of climate change on forest fires (CLIM_IMP_ENV_FIRE)\r\n- main-data/ind_608_exp_typo_csv.zip: Climate change regions (typology) (EXP_TYPO)\r\n- main-data/ind_610_clim_vuln_agg_csv_DnKtwF8.zip: Potential vulnerability to climate change (CLIM_VULN_AGG)\r\n- main-data/ind_611_clim_acc_agg_csv.zip: Adaptive capacity to climate change (CLIM_ACC_AGG)\r\n- main-data/ind_612_clim_mc_agg_csv_U50Gbxa.zip: Mitigative capacity of climate change (CLIM_MC_AGG)\r\n- main-data/ind_613_clim_rc_agg_csv_w682281.zip: Response capacity to climate change (aggregate typology) (CLIM_RC_AGG)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n\r\n","project":"ESPON CLIMATE - Climate Change and Territorial Effects on Regions and Local Economies in Europe (2013)","project_abstract":"...","project_url":"https://www.espon.eu/climate","type":"Project Package","publication_date":"2019-01-24T18:29:33.791903+01:00","archive":[{"name":"project_espon-climate-climate-change-and-territorial-effects-on-regions-and-l_FnwYqem.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/965/project_espon-climate-climate-change-and-territorial-effects-on-regions-and-l_FnwYqem.zip","file_size":"3.3 MB"}],"status":"Published"},{"id":970,"name":"SeGI - Indicators and Perspectives for Services of General Interest in Territorial Cohesion and Development (2013)","abstract":"# ESPON project package: 'SeGI - Indicators and Perspectives for Services of General Interest in Territorial Cohesion and Development (2013)'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: SeGI - Indicators and Perspectives for Services of General Interest in Territorial Cohesion and Development (2013)\r\n- Url: https://www.espon.eu/programme/projects/espon-2013/applied-research/segi-indicators-and-perspectives-services-general\r\n- Id: 19\r\n- Update: Feb. 25, 2019, 3:35 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nThe purpose of the project is to deliver an overview of the current territorial situation of services of general interest in Europe, in particular focusing on:\r\r\n\r\r\n    Existing definitions and classifications of services of general interest, and how they can be applied from a territorial cohesion and development point of view.\r\r\n    Indicators and how they can be used to measure the level of services of general interest.\r\r\n    Mapping the current situation of services of general interest throughout Europe, for instance studying the distribution of services and what kind of areas of specialization can be detected.\r\r\n    Studying territorial development potentials and constraints in different areas in Europe, focusing on current trends, as well as different territorial development paths and the relationship between territorial governance and services of general interest.\r\r\n\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_498_tra-air_abs_rtd_csv_gKYoCtq.zip: Air transport (TRA-AIR_ABS_RTD)\r\n- main-data/ind_499_tra-wat_abs_rtd_csv_uHvFAYu.zip: Water transport (TRA-WAT_ABS_RTD)\r\n- main-data/ind_500_tra-lan_abs_rtd_csv.zip: Land transport (TRA-LAN_ABS_RTD)\r\n- main-data/ind_501_tra-mot_abs_rtd_csv.zip: Motorways (TRA-MOT_ABS_RTD)\r\n- main-data/ind_502_tra-rod_abs_rtd_csv_l6vACN0.zip: Roads, other than motorways (TRA-ROD_ABS_RTD)\r\n- main-data/ind_503_tra-ral_abs_rtd_csv.zip: Railways, tracks in total (TRA-RAL_ABS_RTD)\r\n- main-data/ind_504_frg-rod_abs_rtd_csv_nwi7cYM.zip: Road freight (FRG-ROD_ABS_RTD)\r\n- main-data/ind_505_frg-ral_abs_rtd_csv_slj9f3F.zip: Rail freight (FRG-RAL_ABS_RTD)\r\n- main-data/ind_506_tra-bus_abs_rtd_csv_vPP5slq.zip: Busses, motor coaches and trolley busses (TRA-BUS_ABS_RTD)\r\n- main-data/ind_507_edu-enr_abs_rtd_csv_6zFPKNY.zip: School enrolment in pre-primary education (EDU-ENR_ABS_RTD)\r\n- main-data/ind_508_edu-enr_abs2_rtd_csv_Go07aAM.zip: School enrolment in upper secondary education (EDU-ENR_ABS2_RTD)\r\n- main-data/ind_509_edu-enr_abs3_rtd_csv.zip: School enrolment in tertiary education (EDU-ENR_ABS3_RTD)\r\n- main-data/ind_510_edu-str_abs_rtd_csv.zip: Student-teacher-ratio primary education (EDU-STR_ABS_RTD)\r\n- main-data/ind_511_edu-str2_abs_rtd_csv_7OGgL31.zip: Student-teacher-ratio upper secondary education (EDU-STR2_ABS_RTD)\r\n- main-data/ind_512_edu-scl_abs_rtd_csv.zip: Average size of school class primary education (EDU-SCL_ABS_RTD)\r\n- main-data/ind_513_edu-scl2_abs_rtd_csv.zip: Average size of school class lower secondary education (EDU-SCL2_ABS_RTD)\r\n- main-data/ind_514_edu-pri_abs_rtd_csv.zip: Price index for education (EDU-PRI_ABS_RTD)\r\n- main-data/ind_515_edu-exp_abs_rtd_csv.zip: Expenditures total for education (EDU-EXP_ABS_RTD)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n\r\n","project":"SeGI - Indicators and Perspectives for Services of General Interest in Territorial Cohesion and Development (2013)","project_abstract":"The purpose of the project is to deliver an overview of the current territorial situation of services of general interest in Europe, in particular focusing on:\r\n\r\n    Existing definitions and classifications of services of general interest, and how they can be applied from a territorial cohesion and development point of view.\r\n    Indicators and how they can be used to measure the level of services of general interest.\r\n    Mapping the current situation of services of general interest throughout Europe, for instance studying the distribution of services and what kind of areas of specialization can be detected.\r\n    Studying territorial development potentials and constraints in different areas in Europe, focusing on current trends, as well as different territorial development paths and the relationship between territorial governance and services of general interest.\r\n","project_url":"https://www.espon.eu/programme/projects/espon-2013/applied-research/segi-indicators-and-perspectives-services-general","type":"Project Package","publication_date":"2019-01-24T18:29:36.569019+01:00","archive":[{"name":"project_segi-indicators-and-perspectives-for-services-of-general-interest-in-_uTFYm3H.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/970/project_segi-indicators-and-perspectives-for-services-of-general-interest-in-_uTFYm3H.zip","file_size":"398.4 KB"}],"status":"Published"},{"id":2328,"name":"CE FLOWS – Spatial dynamics and integrated territorial development scenarios for the functional area of Central Europe","abstract":"# ESPON project package: 'CE FLOWS – Spatial dynamics and integrated territorial development scenarios for the functional area of Central Europe'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: CE FLOWS – Spatial dynamics and integrated territorial development scenarios for the functional area of Central Europe\r\n- Url: https://www.espon.eu/ce-flows\r\n- Id: 60\r\n- Update: Sept. 6, 2021, 12:16 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nThe CE-FLOWS targeted analysis provides in-depth insights into the spatial dynamics and existing flows across regions in central Europe and identifies main development potentials, drivers and bottlenecks in this functional area.\r\r\nIn the first step, the project team developed a regional characterisation of the NUTS2 regions in the CE area using a cluster analysis. This step was individual to each thematic flow (i.e., Economic interactions and networks, flow of people, environmental hazards, accessibility and connectivity) and is based on relevant socio-economic, environmental, and geographic characteristics associated with a given flow. It further allowed the project team to differentiate between sending and receiving regions. These developed typologies of regions are centred around the types of flows observed in the individual NUTS2 region within the CE area. Sending regions generally present the starting point of a flow. \r\r\nTo contextualise these typologies, the results of each cluster analysis were paired with a geographic layer or, if applicable, a point-to-point visualisation of flows via geographic\r\r\ninformation system (GIS) mapping. This contextual layer illustrates the relationship between each cluster1 and provides illustrative anchor points on the type of relationship between the clusters.\r\r\nThe analysis of existing partnerships – the third step of our approach – is complementary to the cluster and GIS methods depicted above and relies on two main components: a quantitative analysis at NUTS2 level, emphasising the existing links and connections between the CE regions on thematic areas, and a qualitative study of the different typologies of partnerships and territorial cooperation agreements, highlighting instruments and policies employed as well as good practices, governance mechanisms and solutions impacting territorial cooperation. The quantitative analysis relies on data covering the European Territorial Cooperation (ETC), the EU Funding Instrument for the environment and climate action (LIFE), and the Framework Programme for Research and Innovation (Horizon 2020).\r\r\nLastly, the identification of untapped potential results from a traditional statistical analysis linking socio-economic development and the regional assets. The statistical\r\r\nanalysis shows whether the use of each resource is as efficient in the CE area as in European regions where no borders exist.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_2322_fl_ene16_csv_WpQ0pFj.zip: Flows in Central Europe - cluster analysis of energy (fl_ene16)\r\n- main-data/ind_2323_fl_tou16_csv_s2WS8ry.zip: Flows in Central Europe - cluster analysis of tourism (fl_tou16)\r\n- main-data/ind_2325_fl_env16_csv_uGUkNhB.zip: Flows in Central Europe - cluster analysis of environmental hazards (fl_env16)\r\n- main-data/ind_2326_fl_com16_csv_Ktpfy70.zip: Flows in Central Europe – cluster analyses of commuting patterns (fl_com16)\r\n- main-data/ind_2321_fl_man16_csv_VO2uDCb.zip: Flows in Central Europe - cluster analysis of manufactured goods and transportation (fl_man16)\r\n- main-data/ind_2324_fl_rd16_csv_M8bLzWE.zip: Flows in Central Europe - cluster analysis of research and development (fl_rd16)\r\n- main-data/ind_2249_sim-newn_csv_R62XOnq.zip: Simulated regional GDP - in the new normality scenario (sim-newn)\r\n- main-data/ind_2250_sim-int_csv_Y6BWZa1.zip: Simulated GDP - in the integration scenario (sim-int)\r\n- main-data/ind_2251_sim-part_csv_UO7S0jj.zip: Simulated GDP - in the partial integration scenario (sim-part)\r\n- main-data/ind_2202_proj_par_csv_Yq9kCIz.zip: Project partnerships (total number) (proj_par)\r\n- main-data/ind_2272_par_tran_csv_xbWJ1hg.zip: Project partnership (total number) - manufactured goods and transportation flows (par_tran)\r\n- main-data/ind_2273_par_ener_csv_bDBkeRQ.zip: Project partnership (total number) - electricity and renewable energy (par_ener)\r\n- main-data/ind_2274_par_tour_csv_bXWZhoa.zip: Project partnership (total number) - tourism and cultural & natural heritage (par_tour)\r\n- main-data/ind_2275_par_rd_csv_qaUGKxC.zip: Project partnership (total number) - research and development (par_rd)\r\n- main-data/ind_2276_par_comm_csv_dxTPxBr.zip: Project partnership (total number) - commuting patterns (par_comm)\r\n- main-data/ind_2277_par_envi_csv_7IfdDMt.zip: Project partnerships (total number) – environmental hazards (par_envi)\r\n- main-data/ind_2263_up_trust_csv_hS8L2Q8.zip: Untapped potentials in trust (up_trust)\r\n- main-data/ind_2264_up_agglo_csv_Jdnmf7C.zip: Untapped potentials in agglomeration economies (up_agglo)\r\n- main-data/ind_2265_up_innov_csv_3tksCU0.zip: Untapped potentials in innovation (up_innov)\r\n- main-data/ind_2266_up_lm_csv_fnqGL5q.zip: Untapped potential in local labour market (up_lm)\r\n- main-data/ind_2267_up_finan_csv_vyh0yc4.zip: Untapped potentials in financial capital flows (up_finan)\r\n- main-data/ind_2268_up_partn_csv_ou69kAE.zip: Untapped potentials in international partnerships (up_partn)\r\n- main-data/ind_2269_up_comp_csv_B04gW8V.zip: Untapped potentials in compact urban form (up_comp)\r\n- main-data/ind_2270_up_acces_csv_gUNbzBE.zip: Untapped potentials in accessibility (up_acces)\r\n- main-data/ind_2308_up_markt_csv_xn1UYVJ.zip: Untapped potential in market potential (up_markt)\r\n- main-data/ind_2262_up_manu_csv_ztP4owL.zip: Untapped potentials in manufacturing activities (up_manu)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- GDP contractions in 2020 due to COVID-19 pandemic (MASST model)\r\n  - other-data/DB2020_template_OtherData_GDP_contractions_2020_2LHz2zc.xls: GDP contractions in 2020 due to COVID-19 pandemic (MASST model)\r\n- Economic simulation – Differences between simulated scenario-based regional GDP\r\n  - other-data/DB2020_template_OtherData_economic_simulations_Itg4M7p.xls: Differences between simulated scenario-based regional GDP\r\n- Non-Economic simulations\r\n  - other-data/DB2020_template_OtherData_non-economic_simulations_Wwdnj6B.xls: non-economic simulations\r\n- Untapped potential for economic growth in Central Europe\r\n  - other-data/DB2020_template_OtherData_Untapped_potentials__hiQwsb2.xlsx: DB2020_template_OtherData_Untapped_potentials__hiQwsb2.xlsx\r\n- Manufacturing goods and rail transports: Stuttgart manufacturing cluster\r\n  - other-data/DB2020_template_OtherData_Stuttgart_cluster_OIR_unloading_VxpunCV.xls: Stuttgart unloading\r\n  - other-data/DB2020_template_OtherData_Stuttgart_cluster_OIR_loading_FtWzFST.xls: Stuttgart loading\r\n\r\n","project":"CE FLOWS – Spatial dynamics and integrated territorial development scenarios for the functional area of Central Europe","project_abstract":"The CE-FLOWS targeted analysis provides in-depth insights into the spatial dynamics and existing flows across regions in central Europe and identifies main development potentials, drivers and bottlenecks in this functional area.\r\nIn the first step, the project team developed a regional characterisation of the NUTS2 regions in the CE area using a cluster analysis. This step was individual to each thematic flow (i.e., Economic interactions and networks, flow of people, environmental hazards, accessibility and connectivity) and is based on relevant socio-economic, environmental, and geographic characteristics associated with a given flow. It further allowed the project team to differentiate between sending and receiving regions. These developed typologies of regions are centred around the types of flows observed in the individual NUTS2 region within the CE area. Sending regions generally present the starting point of a flow. \r\nTo contextualise these typologies, the results of each cluster analysis were paired with a geographic layer or, if applicable, a point-to-point visualisation of flows via geographic\r\ninformation system (GIS) mapping. This contextual layer illustrates the relationship between each cluster1 and provides illustrative anchor points on the type of relationship between the clusters.\r\nThe analysis of existing partnerships – the third step of our approach – is complementary to the cluster and GIS methods depicted above and relies on two main components: a quantitative analysis at NUTS2 level, emphasising the existing links and connections between the CE regions on thematic areas, and a qualitative study of the different typologies of partnerships and territorial cooperation agreements, highlighting instruments and policies employed as well as good practices, governance mechanisms and solutions impacting territorial cooperation. The quantitative analysis relies on data covering the European Territorial Cooperation (ETC), the EU Funding Instrument for the environment and climate action (LIFE), and the Framework Programme for Research and Innovation (Horizon 2020).\r\nLastly, the identification of untapped potential results from a traditional statistical analysis linking socio-economic development and the regional assets. The statistical\r\nanalysis shows whether the use of each resource is as efficient in the CE area as in European regions where no borders exist.","project_url":"https://www.espon.eu/ce-flows","type":"Project Package","publication_date":null,"archive":[{"name":"project_ce-flows-spatial-dynamics-and-integrated-territorial-development-sce_tKRSzIf.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/2328/project_ce-flows-spatial-dynamics-and-integrated-territorial-development-sce_tKRSzIf.zip","file_size":"2.2 MB"}],"status":"Published"},{"id":2912,"name":"QGasSP - Quantitative Greenhouse Gas Impact Assessment Method for Spatial Planning Policy","abstract":"# ESPON project package: 'QGasSP - Quantitative Greenhouse Gas Impact Assessment Method for Spatial Planning Policy'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: QGasSP - Quantitative Greenhouse Gas Impact Assessment Method for Spatial Planning Policy\r\n- Url: https://www.espon.eu/QGasSP\r\n- Id: 65\r\n- Update: July 5, 2022, 10:48 a.m.\r\n\r\n\r\n### Abstract\r\n\r\n\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\nNone\r\n\r\n\r\n## Other Data\r\n\r\n- Combination (clipping) of CORINE Land Cover and European Soil Data for all 4 QGasSP case studies\r\n  - other-data/DB2020_QGasSP_Land_use_All_regions.xls: DB2020_QGasSP_Land_use_All_regions.xls\r\n  - other-data/All_regions.zip: All_regions.zip\r\n- Default data for GGIA tool\r\n  - other-data/QGasSP_GGIA_Default_data.xls: GGIA default data\r\n- Baseline Greenhouse Gas emissions for four case studies\r\n  - other-data/QGasSP_baseline_GHG_emissions_four_case_studies.xls: QGasSP_baseline_GHG_emissions_four_case_studies.xls\r\n\r\n","project":"QGasSP - Quantitative Greenhouse Gas Impact Assessment Method for Spatial Planning Policy","project_abstract":"","project_url":"https://www.espon.eu/QGasSP","type":"Project Package","publication_date":null,"archive":[{"name":"project_qgassp-quantitative-greenhouse-gas-impact-assessment-method-for-spat_4HGXnTY.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/2912/project_qgassp-quantitative-greenhouse-gas-impact-assessment-method-for-spat_4HGXnTY.zip","file_size":"1.4 MB"}],"status":"Published"},{"id":2864,"name":"CLIMATE - Data and maps update","abstract":"# ESPON project package: 'CLIMATE - Data and maps update'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: CLIMATE - Data and maps update\r\n- Url: https://www.espon.eu/projects/espon-2020/monitoring-and-tools/climate-data-and-maps-update\r\n- Id: 71\r\n- Update: Nov. 3, 2022, 3:36 p.m.\r\n\r\n\r\n### Abstract\r\n\r\n\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_2407_ag_rk_ba_csv_TKelj34.zip: RISK - Aggregated risk in the baseline climate scenario (absolute exposure) (AG_RK_BA)\r\n- main-data/ind_2692_hp_rk_ia_csv_lx46i4l.zip: RISK - Heat stress on population in the intermediate emissions scenario (absolute exposure) (HP_RK_IA)\r\n- main-data/ind_2683_ag_rk_la_csv_H0kN7j3.zip: RISK - Aggregated risk in the low emissions scenario (absolute exposure) (AG_RK_LA)\r\n- main-data/ind_2679_ac_cc_mi_csv_RKvzZgD.zip: Adaptive capacity (AC_CC_MI)\r\n- main-data/ind_2691_hp_rk_la_csv_G6x0uCU.zip: RISK - Heat stress on population in the low emissions scenario (absolute exposure) (HP_RK_LA)\r\n- main-data/ind_2690_hp_rk_ba_csv_rTmWWBD.zip: RISK - Heat stress on population in the baseline climate scenario (absolute exposure) (HP_RK_BA)\r\n- main-data/ind_2693_hp_rk_ha_csv_gaC4I1K.zip: RISK - Heat stress on population in the very high emissions scenario (absolute exposure) (HP_RK_HA)\r\n- main-data/ind_2694_hp_rk_br_csv_86X9uKd.zip: RISK - Heat stress on population in the baseline climate scenario (relative exposure) (HP_RK_BR)\r\n- main-data/ind_2695_hp_rk_lr_csv_44064Zg.zip: RISK - Heat stress on population in the low emissions scenario (relative exposure) (HP_RK_LR)\r\n- main-data/ind_2696_hp_rk_ir_csv_PhcrhAN.zip: RISK - Heat stress on population in the intermediate emissions scenario (relative exposure) (HP_RK_IR)\r\n- main-data/ind_2697_hp_rk_hr_csv_onmTr8X.zip: RISK - Heat stress on population in the very high emissions scenario (relative exposure) (HP_RK_HR)\r\n- main-data/ind_2698_ci_rk_ba_csv_XajUkrT.zip: RISK - Coastal flood on infrastructure, industry and service sectors in the baseline climate scenario (absolute exposure) (CI_RK_BA)\r\n- main-data/ind_2699_ci_rk_ia_csv_1Bn0xMW.zip: RISK - Coastal flood on infrastructure, industry and service sectors in the intermediate emissions scenario (absolute exposure) (CI_RK_IA)\r\n- main-data/ind_2700_ci_rk_ha_csv_xhG6TPN.zip: RISK - Coastal flood on infrastructure, industry and service sectors in the very high emissions scenario (absolute exposure) (CI_RK_HA)\r\n- main-data/ind_2701_ci_rk_br_csv_sqEgb7A.zip: RISK - Coastal flood on infrastructure, industry and service sectors in the baseline climate scenario (relative exposure) (CI_RK_BR)\r\n- main-data/ind_2702_ci_rk_ir_csv_vdpFxdX.zip: RISK - Coastal flood on infrastructure, industry and service sectors in the intermediate emissions scenario (relative exposure) (CI_RK_IR)\r\n- main-data/ind_2703_ci_rk_hr_csv_2IJJelB.zip: RISK - Coastal flood on infrastructure, industry and service sectors in the very high emissions scenario (relative exposure) (CI_RK_HR)\r\n- main-data/ind_2704_rp_rk_ba_csv_1aWCrdx.zip: RISK - River flood on population in the baseline climate scenario (absolute exposure) (RP_RK_BA)\r\n- main-data/ind_2705_rp_rk_la_csv_uym9JB8.zip: RISK - River flood on population in the low emissions scenario (absolute exposure) (RP_RK_LA)\r\n- main-data/ind_2706_rp_rk_ia_csv_xROq8uk.zip: RISK - River flood on population in the intermediate emissions scenario (absolute exposure) (RP_RK_IA)\r\n- main-data/ind_2707_rp_rk_ha_csv_bwXi7O5.zip: RISK - River flood on population in the very high emissions scenario (absolute exposure) (RP_RK_HA)\r\n- main-data/ind_2708_rp_rk_br_csv_aMtZMQT.zip: RISK - River flood on population in the baseline climate scenario (relative exposure) (RP_RK_BR)\r\n- main-data/ind_2709_rp_rk_lr_csv_siKqm5W.zip: RISK - River flood on population in the low emissions scenario (relative exposure) (RP_RK_LR)\r\n- main-data/ind_2710_rp_rk_ir_csv_45FL6KB.zip: RISK - River flood on population in the intermediate emissions scenario (relative exposure) (RP_RK_IR)\r\n- main-data/ind_2684_ag_rk_lr_csv_kOfLle2.zip: RISK - Aggregated risk in the low emissions scenario (relative exposure) (AG_RK_LR)\r\n- main-data/ind_2685_ag_rk_ia_csv_s9pb4C4.zip: RISK - Aggregated risk in the intermediate emissions scenario (absolute exposure) (AG_RK_IA)\r\n- main-data/ind_2686_ag_rk_ir_csv_fFIT7Cp.zip: RISK - Aggregated risk in the intermediate emissions scenario (relative exposure) (AG_RK_IR)\r\n- main-data/ind_2687_ag_rk_ha_csv_qEQlBkF.zip: RISK - Aggregated risk in the very high emissions scenario (absolute exposure) (AG_RK_HA)\r\n- main-data/ind_2688_ag_rk_hr_csv_dzETDbN.zip: RISK - Aggregated risk in the very high emissions scenario (relative exposure) (AG_RK_HR)\r\n- main-data/ind_2711_rp_rk_hr_csv_6roJG4q.zip: RISK - River flood on population in the very high emissions scenario (relative exposure) (RP_RK_HR)\r\n- main-data/ind_2712_ri_rk_ba_csv_9sjbmEl.zip: RISK - River flood on infrastructure, industry and service sectors in the baseline climate scenario (absolute exposure) (RI_RK_BA)\r\n- main-data/ind_2713_ri_rk_la_csv_2GJbM1f.zip: RISK - River flood on infrastructure, industry and service sectors in the low emissions scenario (absolute exposure) (RI_RK_LA)\r\n- main-data/ind_2714_ri_rk_ia_csv_vdlA3bz.zip: RISK - River flood on infrastructure, industry and service sectors in the intermediate emissions scenario (absolute exposure) (RI_RK_IA)\r\n- main-data/ind_2715_ri_rk_ha_csv_KUKDcEu.zip: RISK - River flood on infrastructure, industry and service sectors in the very high emissions scenario (absolute exposure) (RI_RK_HA)\r\n- main-data/ind_2716_ri_rk_br_csv_R4yfDRc.zip: RISK - River flood on infrastructure, industry and service sectors in the baseline climate scenario (relative exposure) (RI_RK_BR)\r\n- main-data/ind_2717_ri_rk_lr_csv_n3sisXC.zip: RISK - River flood on infrastructure, industry and service sectors in the low emissions scenario (relative exposure) (RI_RK_LR)\r\n- main-data/ind_2718_ri_rk_ir_csv_HHIG5hW.zip: RISK - River flood on infrastructure, industry and service sectors in the intermediate emissions scenario (relative exposure) (RI_RK_IR)\r\n- main-data/ind_2719_ri_rk_hr_csv_YpfwDe2.zip: RISK - River flood on infrastructure, industry and service sectors in the very high emissions scenario (relative exposure) (RI_RK_HR)\r\n- main-data/ind_2720_fc_rk_ba_csv_6mdGl9E.zip: RISK - Flash flood on cultural sector in the baseline climate scenario (absolute exposure) (FC_RK_BA)\r\n- main-data/ind_2721_fc_rk_la_csv_lzMtgGD.zip: RISK - Flash flood on cultural sector in the low emissions scenario (absolute exposure) (FC_RK_LA)\r\n- main-data/ind_2722_fc_rk_ia_csv_qHszULB.zip: RISK - Flash flood on cultural sector in the intermediate emissions scenario (absolute exposure) (FC_RK_IA)\r\n- main-data/ind_2723_fc_rk_ha_csv_mn2WHg4.zip: RISK - Flash flood on cultural sector in the very high emissions scenario (absolute exposure) (FC_RK_HA)\r\n- main-data/ind_2724_fc_rk_br_csv_qv2f1Ga.zip: RISK - Flash flood on cultural sector in the baseline climate scenario (relative exposure) (FC_RK_BR)\r\n- main-data/ind_2725_fc_rk_lr_csv_KPKIWRD.zip: RISK - Flash flood on cultural sector in the low emissions scenario (relative exposure) (FC_RK_LR)\r\n- main-data/ind_2726_fc_rk_ir_csv_CaFpJps.zip: RISK - Flash flood on cultural sector in the intermediate emissions scenario (relative exposure) (FC_RK_IR)\r\n- main-data/ind_2727_fc_rk_hr_csv_dxHb2OD.zip: RISK - Flash flood on cultural sector in the very high emissions scenario (relative exposure) (FC_RK_HR)\r\n- main-data/ind_2728_we_rk_ba_csv_fhbMTlR.zip: RISK - Wildfire on environment in the baseline climate scenario (absolute exposure) (WE_RK_BA)\r\n- main-data/ind_2729_we_rk_la_csv_gZhTjir.zip: RISK - Wildfire on environment in the low emissions scenario (absolute exposure) (WE_RK_LA)\r\n- main-data/ind_2730_we_rk_ia_csv_tqtoTyv.zip: RISK - Wildfire on environment in the intermediate emissions scenario (absolute exposure) (WE_RK_IA)\r\n- main-data/ind_2731_we_rk_ha_csv_zIQ6R4z.zip: RISK - Wildfire on environment in the very high emissions scenario (absolute exposure) (WE_RK_HA)\r\n- main-data/ind_2732_we_rk_br_csv_9pgon0Z.zip: RISK - Wildfire on environment in the baseline climate scenario (relative exposure) (WE_RK_BR)\r\n- main-data/ind_2733_we_rk_lr_csv_RHsfPJ2.zip: RISK - Wildfire on environment in the low emissions scenario (relative exposure) (WE_RK_LR)\r\n- main-data/ind_2734_we_rk_ir_csv_Hf4na7Z.zip: RISK - Wildfire on environment in the intermediate emissions scenario (relative exposure) (WE_RK_IR)\r\n- main-data/ind_2735_we_rk_hr_csv_nABONIs.zip: RISK - Wildfire on environment in the very high emissions scenario (relative exposure) (WE_RK_HR)\r\n- main-data/ind_2736_dp_rk_ba_csv_IRz4wjJ.zip: RISK - Droughts on primary sector in the baseline climate scenario (absolute exposure) (DP_RK_BA)\r\n- main-data/ind_2737_dp_rk_la_csv_M5kg3Mo.zip: RISK - Droughts on primary sector in the low emissions scenario (absolute exposure) (DP_RK_LA)\r\n- main-data/ind_2738_dp_rk_ia_csv_5tF74oj.zip: RISK - Droughts on primary sector in the intermediate emissions scenario (absolute exposure) (DP_RK_IA)\r\n- main-data/ind_2739_dp_rk_ha_csv_gs6gMzA.zip: RISK - Droughts on primary sector in the very high emissions scenario (absolute exposure) (DP_RK_HA)\r\n- main-data/ind_2740_dp_rk_br_csv_q02bVd3.zip: RISK - Droughts on primary sector in the baseline climate scenario (relative exposure) (DP_RK_BR)\r\n- main-data/ind_2741_dp_rk_lr_csv_TgcKttr.zip: RISK - Droughts on primary sector in the low emissions scenario (relative exposure) (DP_RK_LR)\r\n- main-data/ind_2742_dp_rk_ir_csv_Ydq4yrg.zip: RISK - Droughts on primary sector in the intermediate emissions scenario (relative exposure) (DP_RK_IR)\r\n- main-data/ind_2743_dp_rk_hr_csv_BJwqoH0.zip: RISK - Droughts on primary sector in the very high emissions scenario (relative exposure) (DP_RK_HR)\r\n- main-data/ind_2745_hp_vu_b_csv_J7IDvjy.zip: VULNERABILITY - Heat stress on population (HP_VU_B)\r\n- main-data/ind_2746_ci_vu_b_csv_bPn7Ej8.zip: VULNERABILITY -Coastal flood on infrastructure, industry and service sectors (CI_VU_B)\r\n- main-data/ind_2747_rp_vu_b_csv_WMqwqNQ.zip: VULNERABILITY - River flood on population (RP_VU_B)\r\n- main-data/ind_2748_ri_vu_b_csv_b2VjXj7.zip: VULNERABILITY - River flood on infrastructure, industry and service sectors (RI_VU_B)\r\n- main-data/ind_2749_fc_vu_b_csv_XHCt5qh.zip: VULNERABILITY - Flash flood on cultural sector (FC_VU_B)\r\n- main-data/ind_2750_we_vu_b_csv_Vdj4xQd.zip: VULNERABILITY - Wildfire on environment (WE_VU_B)\r\n- main-data/ind_2751_dp_vu_b_csv_vtQexSJ.zip: VULNERABILITY - Droughts on primary sector (DP_VU_B)\r\n- main-data/ind_2682_ag_rk_br_csv_Twqtknx.zip: RISK - Aggregated risk in the baseline climate scenario (relative exposure) (AG_RK_BR)\r\n- main-data/ind_2753_hp_se_b_csv_kTDT94U.zip: SENSITIVITY - Heat stress on population (HP_SE_B)\r\n- main-data/ind_2754_ci_se_b_csv_D2yCnMb.zip: SENSITIVITY - Coastal flood on infrastructure, industry and service sectors (CI_SE_B)\r\n- main-data/ind_2755_rp_se_b_csv_K0qAMw6.zip: SENSITIVITY - River flood on population (RP_SE_B)\r\n- main-data/ind_2756_ri_se_b_csv_wO7HzAY.zip: SENSITIVITY - River flood on infrastructure, industry and service sectors (RI_SE_B)\r\n- main-data/ind_2757_fc_se_b_csv_JiHbGAQ.zip: SENSITIVITY - Flash flood on cultural sector (FC_SE_B)\r\n- main-data/ind_2758_we_se_b_csv_SYwORDY.zip: SENSITIVITY - Wildfire on environment (WE_SE_B)\r\n- main-data/ind_2759_dp_se_b_csv_lzIpgHB.zip: SENSITIVITY - Droughts on primary sector (DP_SE_B)\r\n- main-data/ind_2761_hp_ex_ba_csv_y6zc0e4.zip: EXPOSURE - Heat stress on population in the baseline climate scenario (absolute exposure) (HP_EX_BA)\r\n- main-data/ind_2762_hp_ex_br_csv_2SuVuqx.zip: EXPOSURE - Heat stress on population in the baseline climate scenario (relative exposure) (HP_EX_BR)\r\n- main-data/ind_2763_ci_ex_ba_csv_CLD3hyS.zip: EXPOSURE - Coastal flood on infrastructure, industry and service sectors in the baseline climate scenario (absolute exposure) (CI_EX_BA)\r\n- main-data/ind_2764_ci_ex_br_csv_EVeLN6P.zip: EXPOSURE - Coastal flood on infrastructure, industry and service sectors in the baseline climate scenario (relative exposure) (CI_EX_BR)\r\n- main-data/ind_2765_rp_ex_ba_csv_aC1HG3z.zip: EXPOSURE - River flood on population in the baseline climate scenario (absolute exposure) (RP_EX_BA)\r\n- main-data/ind_2767_ri_ex_ba_csv_RZnQst7.zip: EXPOSURE - River flood on infrastructure, industry and service sectors in the baseline climate scenario (absolute exposure) (RI_EX_BA)\r\n- main-data/ind_2768_ri_ex_br_csv_jkeSor2.zip: EXPOSURE - River flood on infrastructure, industry and service sectors in the baseline climate scenario (relative exposure) (RI_EX_BR)\r\n- main-data/ind_2769_fc_ex_ba_csv_HSWGTpZ.zip: EXPOSURE - Flash flood on cultural sector in the baseline climate scenario (absolute exposure) (FC_EX_BA)\r\n- main-data/ind_2770_fc_ex_br_csv_nxZ9FLn.zip: EXPOSURE - Flash flood on cultural sector in the baseline climate scenario (relative exposure) (FC_EX_BR)\r\n- main-data/ind_2771_we_ex_ba_csv_9PIPk1l.zip: EXPOSURE - Wildfire on environment in the baseline climate scenario (absolute exposure) (WE_EX_BA)\r\n- main-data/ind_2772_we_ex_br_csv_VSC0Bum.zip: EXPOSURE - Wildfire on environment in the baseline climate scenario (relative exposure) (WE_EX_BR)\r\n- main-data/ind_2773_dp_ex_ba_csv_NadU9SC.zip: EXPOSURE - Droughts on primary sector in the baseline climate scenario (absolute exposure) (DP_EX_BA)\r\n- main-data/ind_2774_dp_ex_br_csv_o0vqfw0.zip: EXPOSURE - Droughts on primary sector in the baseline climate scenario (relative exposure) (DP_EX_BR)\r\n- main-data/ind_2776_hp_ha_b_csv_byMITtx.zip: HAZARD - Heat stress on population in the baseline climate scenario (HP_HA_B)\r\n- main-data/ind_2777_hp_ha_l_csv_4emHkSm.zip: HAZARD - Heat stress on population in the low emissions scenario (HP_HA_L)\r\n- main-data/ind_2778_hp_ha_i_csv_Wimkaap.zip: HAZARD - Heat stress on population in the intermediate emissions scenario (HP_HA_I)\r\n- main-data/ind_2779_hp_ha_h_csv_ZWW0qqH.zip: HAZARD - Heat stress on population in the very high emissions scenario (HP_HA_H)\r\n- main-data/ind_2780_ci_ha_b_csv_YWRPonL.zip: HAZARD - Coastal flood on infrastructure, industry and service sectors in the baseline climate scenario (CI_HA_B)\r\n- main-data/ind_2781_ci_ha_i_csv_VrqMJ1l.zip: HAZARD - Coastal flood on infrastructure, industry and service sectors in the intermediate emissions scenario (CI_HA_I)\r\n- main-data/ind_2782_ci_ha_h_csv_ObGvleM.zip: HAZARD - Coastal flood on infrastructure, industry and service sectors in the very high emissions scenario (CI_HA_H)\r\n- main-data/ind_2783_rp_ha_b_csv_0WyK4py.zip: HAZARD - River flood on population in the baseline climate scenario (RP_HA_B)\r\n- main-data/ind_2784_rp_ha_l_csv_c5BPYlb.zip: HAZARD - River flood on population in the low emissions scenario (RP_HA_L)\r\n- main-data/ind_2785_rp_ha_i_csv_8bvQQqi.zip: HAZARD - River flood on population in the intermediate emissions scenario (RP_HA_I)\r\n- main-data/ind_2786_rp_ha_h_csv_WABSpVw.zip: HAZARD - River flood on population in the very high emissions scenario (RP_HA_H)\r\n- main-data/ind_2787_ri_ha_b_csv_zZia3Yh.zip: HAZARD - River flood on infrastructure, industry and service sectors in the baseline climate scenario (RI_HA_B)\r\n- main-data/ind_2789_ri_ha_i_csv_YwuKoLf.zip: HAZARD - River flood on infrastructure, industry and service sectors in the intermediate emissions scenario (RI_HA_I)\r\n- main-data/ind_2790_ri_ha_h_csv_c1UHIdZ.zip: HAZARD - River flood on infrastructure, industry and service sectors in the very high emissions scenario (RI_HA_H)\r\n- main-data/ind_2791_fc_ha_b_csv_enSreRr.zip: HAZARD - Flash flood on cultural sector in the baseline climate scenario (FC_HA_B)\r\n- main-data/ind_2792_fc_ha_l_csv_W2iFKN6.zip: HAZARD - Flash flood on cultural sector in the low emissions scenario (FC_HA_L)\r\n- main-data/ind_2793_fc_ha_i_csv_RS2VWVp.zip: HAZARD - Flash flood on cultural sector in the intermediate emissions scenario (FC_HA_I)\r\n- main-data/ind_2794_fc_ha_h_csv_L9dtSLu.zip: HAZARD - Flash flood on cultural sector in the very high emissions scenario (FC_HA_H)\r\n- main-data/ind_2795_we_ha_b_csv_vXFo5od.zip: HAZARD - Wildfire on environment in the baseline climate scenario (WE_HA_B)\r\n- main-data/ind_2796_we_ha_l_csv_cxOXpbH.zip: HAZARD - Wildfire on environment in the low emissions scenario (WE_HA_L)\r\n- main-data/ind_2797_we_ha_i_csv_2onBQDH.zip: HAZARD - Wildfire on environment in the intermediate emissions scenario (WE_HA_I)\r\n- main-data/ind_2798_we_ha_h_csv_2zMuMQq.zip: HAZARD - Wildfire on environment in the very high emissions scenario (WE_HA_H)\r\n- main-data/ind_2799_dp_ha_b_csv_pgaLEDY.zip: HAZARD - Droughts on primary sector in the baseline climate scenario (DP_HA_B)\r\n- main-data/ind_2800_dp_ha_l_csv_RSEPaqV.zip: HAZARD - Droughts on primary sector in the low emissions scenario (DP_HA_L)\r\n- main-data/ind_2801_dp_ha_i_csv_itQ73qh.zip: HAZARD - Droughts on primary sector in the intermediate emissions scenario (DP_HA_I)\r\n- main-data/ind_2802_dp_ha_h_csv_PjDGG2U.zip: HAZARD - Droughts on primary sector in the very high emissions scenario (DP_HA_H)\r\n- main-data/ind_2766_rp_ex_br_csv_61KoOGz.zip: EXPOSURE - River flood on population in the baseline climate scenario (relative exposure) (RP_EX_BR)\r\n- main-data/ind_2788_ri_ha_l_csv_xOXyPIN.zip: HAZARD - River flood on infrastructure, industry and service sectors in the low emissions scenario (RI_HA_L)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n\r\n","project":"CLIMATE - Data and maps update","project_abstract":"","project_url":"https://www.espon.eu/projects/espon-2020/monitoring-and-tools/climate-data-and-maps-update","type":"Project Package","publication_date":null,"archive":[{"name":"project_climate-data-and-maps-update.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/2864/project_climate-data-and-maps-update.zip","file_size":"10.3 MB"}],"status":"Published"},{"id":1659,"name":"TIA Tool Upgrade","abstract":"# ESPON project package: 'TIA Tool Upgrade'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: TIA Tool Upgrade\r\n- Url: https://www.espon.eu/tia-tool-upgrade\r\n- Id: 43\r\n- Update: Jan. 17, 2022, 6:02 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nThe ESPON TIA Quick Check is an interactive tool assessing ex-ante the territorial impact of legislations, policies and directives. It allows the user to make a "quick and dirty" ex-ante analysis of the potential impact of EU legislation, policies and directives on the development of regions, which might be unanticipated and undesirable. The tool combines expert knowledge gathered in a workshop with a set of statistical data describing the characteristics of regions. The users are guided through the different steps of the impact analysis and receive assistance and guidance for preparing a territorial impact analysis.\r\r\nThe ESPON TIA Tool is developed to help steering an expert discussion in a workshop setting on the territorial effects of an EU policy proposal by checking all relevant indicators.\r\r\n\r\r\nThe first version of the TIA webtool was used in many practical applications. This process of extensive testing however also led to the identification of a number of possible improvements and wishes from policymakers for further development. Subsequently, the upgrade of the TIA webtool was conducted. The aim of upgrading the tool was threefold:\r\r\n\r\r\n•  Improve the existing functionalities and further increase the user-friendliness of the tool\r\r\n•  Further develop the tool and the methodology by implementing additional functionalities\r\r\n•  Test functionalities in a realistic setting by actually applying them in a TIA workshop\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_1629_fua_n3_csv.zip: FUA Code (FUA_N3)\r\n- main-data/ind_1565_poprural_csv.zip: Share of population living in rural areas (PopRural)\r\n- main-data/ind_1564_popmntn_csv.zip: Share of population living in mountainous areas (PopMntn)\r\n- main-data/ind_1563_popurban_csv.zip: Share of population living in urban areas (PopUrban)\r\n- main-data/ind_1566_areamntn_csv.zip: Share of mountainous area on total area (AreaMntn)\r\n- main-data/ind_1567_popbord_csv.zip: Share of population living in a 25km corridor along the border (PopBord)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- Indicators gathered or developed within the TIA Tool project\r\n  - other-data/DB2020_OtherData_General-TIA_Society_qx7azn5.xls: General TIA - thematic field: Society\r\n  - other-data/DB2020_OtherData_General-TIA_Governance_ODuW2xK.xls: General TIA - thematic field: Governance\r\n  - other-data/DB2020_OtherData_CB-TIA.xls: Cross Border TIA\r\n  - other-data/DB2020_OtherData_UrbanIA.xls: Urban TIA\r\n  - other-data/DB2020_OtherData_CLC.xls: Area by land cover classes\r\n  - other-data/DB2020_OtherData_Typologies_N2021.xls: Typologies (NUTS 2021)\r\n  - other-data/DB2020_OtherData_General-TIA_Economy_Eyaw6iq.xls: General TIA - thematic field: Economy\r\n  - other-data/DB2020_OtherData_General-TIA_Environment_63CEQER.xls: General TIA - thematic field: Environment\r\n\r\n","project":"TIA Tool Upgrade","project_abstract":"The ESPON TIA Quick Check is an interactive tool assessing ex-ante the territorial impact of legislations, policies and directives. It allows the user to make a \"quick and dirty\" ex-ante analysis of the potential impact of EU legislation, policies and directives on the development of regions, which might be unanticipated and undesirable. The tool combines expert knowledge gathered in a workshop with a set of statistical data describing the characteristics of regions. The users are guided through the different steps of the impact analysis and receive assistance and guidance for preparing a territorial impact analysis.\r\nThe ESPON TIA Tool is developed to help steering an expert discussion in a workshop setting on the territorial effects of an EU policy proposal by checking all relevant indicators.\r\n\r\nThe first version of the TIA webtool was used in many practical applications. This process of extensive testing however also led to the identification of a number of possible improvements and wishes from policymakers for further development. Subsequently, the upgrade of the TIA webtool was conducted. The aim of upgrading the tool was threefold:\r\n\r\n•  Improve the existing functionalities and further increase the user-friendliness of the tool\r\n•  Further develop the tool and the methodology by implementing additional functionalities\r\n•  Test functionalities in a realistic setting by actually applying them in a TIA workshop","project_url":"https://www.espon.eu/tia-tool-upgrade","type":"Project Package","publication_date":null,"archive":[{"name":"project_tia-tool-upgrade.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/1659/project_tia-tool-upgrade.zip","file_size":"2.3 MB"}],"status":"Published"},{"id":1546,"name":"SHARING - Stocktaking and assessment of typologies of Urban Circular Collaborative Economy initiatives","abstract":"# ESPON project package: 'SHARING - Stocktaking and assessment of typologies of Urban Circular Collaborative Economy initiatives'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: SHARING - Stocktaking and assessment of typologies of Urban Circular Collaborative Economy initiatives\r\n- Url: https://www.espon.eu/sharing\r\n- Id: 42\r\n- Update: May 7, 2020, 9:45 a.m.\r\n\r\n\r\n### Abstract\r\n\r\n\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_1487_ce_fi_csv.zip: Typology of SME environment - investment needs (CE_FI)\r\n- main-data/ind_1486_ea_ce_csv.zip: Typology of SME environment - entrepreneurship (EA_CE)\r\n- main-data/ind_1484_ceinno_csv.zip: Typology of SME environment - innovation (CEInno)\r\n- main-data/ind_1485_inno_ih_csv.zip: SMEs innovating in-house (Inno_IH)\r\n- main-data/ind_1481_findifc_csv.zip: Difficulties in accessing financing for circular economy activities (FinDifc)\r\n- main-data/ind_1480_impdiff_csv.zip: Readiness to try new and different things (impdiff)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- Survey\r\n  - other-data/Sharing_survey.xls: Survey table\r\n- Case Study Flanders\r\n  - other-data/Flanders_Casestudy.xls: Case Study Flanders\r\n- Case Study The Hague\r\n  - other-data/TheHague_CaseStudy.xls: Case Study Data\r\n\r\n","project":"SHARING - Stocktaking and assessment of typologies of Urban Circular Collaborative Economy initiatives","project_abstract":"","project_url":"https://www.espon.eu/sharing","type":"Project Package","publication_date":null,"archive":[{"name":"project_sharing-stocktaking-and-assessment-of-typologies-of-urban-circular-c_9OhQkBK.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/1546/project_sharing-stocktaking-and-assessment-of-typologies-of-urban-circular-c_9OhQkBK.zip","file_size":"582.2 KB"}],"status":"Published"},{"id":2004,"name":"T4 - Technological Transformation & Transitioning of Regional Economies","abstract":"# ESPON project package: 'T4 - Technological Transformation & Transitioning of Regional Economies'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: T4 - Technological Transformation & Transitioning of Regional Economies\r\n- Url: https://www.espon.eu/transregecon\r\n- Id: 41\r\n- Update: Aug. 31, 2020, 5:11 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nThis dataset includes all data used in the T4 project.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_2001_t4_nuts3_csv.zip: 4.0 patents per 1,000 inhabitants (T4_NUTS3)\r\n- main-data/ind_1971_t4_9_b_csv_d7eVv6e.zip: High risk of job automation (T4_9_b)\r\n- main-data/ind_1964_t4_7_a_csv_keMUoHB.zip: Population using ebanking services (T4_7_a)\r\n- main-data/ind_1965_t4_7_b_csv_QAheR8S.zip: Population using egovernment services (T4_7_b)\r\n- main-data/ind_1980_t4_14_a_csv_1gNK5wY.zip: Online sales adoption in technology services (T4_14_a)\r\n- main-data/ind_1981_t4_14_b_csv_24zoeJ9.zip: Online sales adoption in carrier services (T4_14_b)\r\n- main-data/ind_1958_t4_4_d_csv_qUwsOJb.zip: Specialisation in technology services (T4_4_d)\r\n- main-data/ind_1961_t4_5_csv_twqbuAh.zip: Taxonomy of 4.0 inventing regions (T4_5)\r\n- main-data/ind_1955_t4_4_a_csv_TbjFMPh.zip: Specialisation in technology manufacturing sectors (T4_4_a)\r\n- main-data/ind_1974_t4_11_a_csv_zsbqDGH.zip: Robot adoption in technology manufacturing sectors (T4_11_a)\r\n- main-data/ind_1975_t4_11_b_csv_GNUCoNf.zip: Robot adoption in carrier manufacturing sectors (T4_11_b)\r\n- main-data/ind_1983_t4_15_csv_9wjoOPQ.zip: Taxonomy of technological transformations (T4_15)\r\n- main-data/ind_1982_t4_14_c_csv_aHZ0cYJ.zip: Online sales adoption in induced services (T4_14_c)\r\n- main-data/ind_1997_t4_29_csv_RTvHmAv.zip: Regional job creation and job displacement by skill level (T4_29)\r\n- main-data/ind_1998_t4_30_csv_lpWddva.zip: Regional creation and displacement of high-skill jobs (T4_30)\r\n- main-data/ind_1999_t4_31_csv_Jts26cu.zip: Regional creation and displacement of low-skill jobs (T4_31)\r\n- main-data/ind_1949_t4_1_csv_E8pmzd2.zip: 4.0 patents (T4_1)\r\n- main-data/ind_1977_t4_12_csv_NruZZoz.zip: Manufacturing firms developing and/or using 4.0 technologies (T4_12)\r\n- main-data/ind_1960_t4_4_f_csv_KOTruvS.zip: Specialisation in induced services (T4_4_f)\r\n- main-data/ind_1956_t4_4_b_csv_ZGDW8Vy.zip: Specialisation in carrier manufacturing sectors (T4_4_b)\r\n- main-data/ind_1957_t4_4_c_csv_u7xkMQh.zip: Specialisation in induced manufacturing sectors (T4_4_c)\r\n- main-data/ind_1970_t4_9_a_csv_AMVEmee.zip: Average risk of job automation (T4_9_a)\r\n- main-data/ind_1976_t4_11_c_csv_Yxe15bM.zip: Robot adoption in induced manufacturing sectors (T4_11_c)\r\n- main-data/ind_2002_t4_14_d_csv_8mjjwbA.zip: Online sales adoption in transport services (T4_14_d)\r\n- main-data/ind_1951_t4_2_a_csv_zl3J52x.zip: 4.0 patents - by sector - in smart transport technologies (T4_2_a)\r\n- main-data/ind_1952_t4_2_b_csv_0S3iwV2.zip: 4.0 patents - by sector - in smart energy technologies (T4_2_b)\r\n- main-data/ind_1966_t4_7_c_csv_tua42lQ.zip: Population purchasing holiday services online (T4_7_c)\r\n- main-data/ind_1988_t4_20_csv_dxmzqza.zip: Degree of technology adoption efficiency (T4_20)\r\n- main-data/ind_1959_t4_4_e_csv_mCzPwFI.zip: Specialisation in carrier services (T4_4_e)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- Regional impacts of robots and online sales adoption by type of technological transformation\r\n  - other-data/DB2020_template_OtherData_fD5m4x7.xls: Regional impacts of robots and online sales adoption by type of technological transformation\r\n\r\n","project":"T4 - Technological Transformation & Transitioning of Regional Economies","project_abstract":"This dataset includes all data used in the T4 project.","project_url":"https://www.espon.eu/transregecon","type":"Project Package","publication_date":null,"archive":[{"name":"project_t4-technological-transformation-transitioning-of-regional-economies_vTAwc3f.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/2004/project_t4-technological-transformation-transitioning-of-regional-economies_vTAwc3f.zip","file_size":"2.5 MB"}],"status":"Published"},{"id":2304,"name":"TITAN - Territorial Impacts of Natural Disasters","abstract":"# ESPON project package: 'TITAN - Territorial Impacts of Natural Disasters'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: TITAN - Territorial Impacts of Natural Disasters\r\n- Url: https://www.espon.eu/natural-disasters\r\n- Id: 40\r\n- Update: July 16, 2021, 11:55 a.m.\r\n\r\n\r\n### Abstract\r\n\r\n\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_2195_drg_haz1_csv_IWL8BZf.zip: Drought hazard (number of droughts 1981-2010) (Drg_haz1)\r\n- main-data/ind_2191_fld_haz_csv_6834UoP.zip: 100-year river flood (flooded area in percentage of NUTS3 area) (Fld_haz)\r\n- main-data/ind_2192_wind_haz_csv_XXa5ENZ.zip: Windstorm hazard (maximum wind speed for three-second gusts, 1981-2010) (Wind_haz)\r\n- main-data/ind_2194_land_haz_csv_du8WLlQ.zip: Landslide susceptibility (Land_haz)\r\n- main-data/ind_2193_seis_haz_csv_Rkr0Wb3.zip: Seismic hazard (maximal peak ground acceleration as fractions of standard gravity) (Seis_haz)\r\n- main-data/ind_2178_agg_nhaz_csv_FKGut8u.zip: Aggregated natural hazard values for five hazards (Agg_nhaz)\r\n- main-data/ind_2219_drg_haz2_csv_xRK9hpR.zip: Drought hazard (number of drought months 1981-2010) (Drg_haz2)\r\n- main-data/ind_2161_vul_nh_csv_z3SXIbn.zip: Territorial vulnerability to natural hazards (VUL_NH)\r\n- main-data/ind_2225_sus_nh_csv_F6rA9b3.zip: Territorial susceptibility to natural hazards (SUS_NH)\r\n- main-data/ind_2224_cop_nh_csv_NM4tURn.zip: Territorial coping capacity to natural hazards (COP_NH)\r\n- main-data/ind_2281_pop_vul1_csv_7VviPq1.zip: Population living in areas with very low vulnerability (total) (POP_VUL1)\r\n- main-data/ind_2282_pop_vul2_csv_S5yYIrp.zip: Population living in areas with low vulnerability (total) (POP_VUL2)\r\n- main-data/ind_2283_pop_vul3_csv_lInrSei.zip: Population living in areas with medium vulnerability (total) (POP_VUL3)\r\n- main-data/ind_2284_pop_vul4_csv_CCUa3fl.zip: Population living in areas with high vulnerability (total) (POP_VUL4)\r\n- main-data/ind_2285_pop_vul5_csv_bwnqFpw.zip: Population living in areas with very high vulnerability (total) (POP_VUL5)\r\n- main-data/ind_2287_pop_vlp1_csv_dmE8g3z.zip: Population living in areas with very low vulnerability (share of) (POP_VLP1)\r\n- main-data/ind_2288_pop_vlp2_csv_Hd1pqY0.zip: Population living in areas with low vulnerability (share of) (POP_VLP2)\r\n- main-data/ind_2289_pop_vlp3_csv_YDp026q.zip: Population living in areas with medium vulnerability (share of) (POP_VLP3)\r\n- main-data/ind_2290_pop_vlp4_csv_bNe1Szt.zip: Population living in areas with high vulnerability (share of) (POP_VLP4)\r\n- main-data/ind_2291_pop_vlp5_csv_GnOHXK0.zip: Population living in areas with very high vulnerability (share of) (POP_VLP5)\r\n- main-data/ind_2168_fld_ec_csv_h687u5Z.zip: Economic damage due to floods, average of yearly impacts (Fld_ec)\r\n- main-data/ind_2169_wind_ec_csv_fvH8esG.zip: Economic damage due to windstorms, average of yearly impacts (Wind_ec)\r\n- main-data/ind_2166_drgt_ec_csv_YdzfERc.zip: Economic damage due to droughts, average of yearly impacts (Drgt_ec)\r\n- main-data/ind_2167_eq_ec_csv_7enUXhU.zip: Economic damage due to earthquakes, average of yearly impacts (Eq_ec)\r\n- main-data/ind_2165_total_ec_csv_WmpawnS.zip: Economic damage due to four natural hazard types in total, average of yearly impacts (Total_ec)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- Drought hazard (number of droughts months and number of droughts 1995-2017)\r\n  - other-data/ESPON_DB2020_drgt_hz_bD8LMSm.xls: ESPON_DB2020_drgt_hz_bD8LMSm.xls\r\n- Territorial vulnerability to natural hazards including all input indicators\r\n  - other-data/ESPON_DB2020_vulnerability_OtherData_v5.xls: ESPON_DB2020_vulnerability_OtherData_v5.xls\r\n- Damage Distribution Matrix (DDM)\r\n  - other-data/DDM_drgt_fld_wind_eq_v2.xlsx: DDM_drgt_fld_wind_eq\r\n- Co-occurrence of landslide susceptibility and seismic hazard at NUTS3\r\n  - other-data/ESPON_DB2020_lnd_seis_qUn2xCq.xls: ESPON_DB2020_lnd_seis_qUn2xCq.xls\r\n- Windstorm hazard (maximum wind speed for three-second gusts, 1995-2016)\r\n  - other-data/ESPON_DB2020_wind_hz2_npCbeq3.xls: ESPON_DB2020_wind_hz2_npCbeq3.xls\r\n\r\n","project":"TITAN - Territorial Impacts of Natural Disasters","project_abstract":"","project_url":"https://www.espon.eu/natural-disasters","type":"Project Package","publication_date":null,"archive":[{"name":"project_titan-territorial-impacts-of-natural-disasters_EKfQEE6.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/2304/project_titan-territorial-impacts-of-natural-disasters_EKfQEE6.zip","file_size":"4.0 MB"}],"status":"Published"},{"id":1531,"name":"BT2050 - Territorial Scenarios for the Baltic Sea Region","abstract":"# ESPON project package: 'BT2050 - Territorial Scenarios for the Baltic Sea Region'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: BT2050 - Territorial Scenarios for the Baltic Sea Region\r\n- Url: https://www.espon.eu/BT%202050\r\n- Id: 38\r\n- Update: April 20, 2020, 9:46 a.m.\r\n\r\n\r\n### Abstract\r\n\r\nThis activity has developed territorial scenarios for the BSR in order to increase evidence based on the territorial dimension of the EU Strategy for the Baltic Sea Region, as well as contributed to EU MS policy making and cooperation between BSR countries on territorial development. The EU Territorial Agenda (EU TA) and Urban Agenda (EU UA), as well as UN New Urban Agenda need to be considered in this respect.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_1460_gdpcap_f_csv_UP9cNsT.zip: [FORECAST] GDP per capita prediction in the BSR (GDPcap_F)\r\n- main-data/ind_1451_pop_fore_csv_KOiIewA.zip: [FORECAST] Population prediction in the BSR (Pop_fore)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- GDP per capita in PPP\r\n  - other-data/gdp_cap_.xls: DB2020_BT2050_NUTS3_OtherData\r\n- Life expectancy at birth\r\n  - other-data/life_exp_889Umxj.xls: Life expectancy at birth\r\n- Employment rate of persons aged aged 15-74\r\n  - other-data/emp_rate_Fsxav7i.xls: Employment rate of persons aged aged 15-74\r\n- [FORECAST] Population and GDP prediction in the BSR\r\n  - other-data/DB2020_BT2050_NUTS3__gdpf_OtherData.xlsx: [FORECAST] GDP change in the BSR\r\n  - other-data/Pop_fore.xlsx: [FORECAST] Population (2011=100)\r\n  - other-data/GDPcap_F.xlsx: [FORECAST] GDP per capita prediction in the BSR\r\n  - other-data/popfagro.xlsx: [FORECAST] Population prediction in the BSR by age groups (5-14 and 60+)\r\n- Population per municipality (updated LAU), age group (15-65, over 65) and gender\r\n  - other-data/pop_muni_zNZanEM.xlsx: Population per municipality (updated LAU), age group (15-65, over 65) and gender\r\n- Population at FUA level\r\n  - other-data/pop_fua__yaOGgd7.xlsx: Population at FUA level\r\n- Arrivals at tourist accommodation establishments\r\n  - other-data/arr_tour_ST73MOj.xls: Arrivals at tourist accommodation establishments\r\n- Share of populaition aged 25-64 with tertiary education\r\n  - other-data/ter_edu_aWrAWen.xls: Share of populaition aged 25-64 with tertiary education\r\n- Net migtation and population per municipality (updated LAU)\r\n  - other-data/net_migr_81DpEtv.xlsx: Net migtation and population per municipality (updated LAU)\r\n\r\n","project":"BT2050 - Territorial Scenarios for the Baltic Sea Region","project_abstract":"This activity has developed territorial scenarios for the BSR in order to increase evidence based on the territorial dimension of the EU Strategy for the Baltic Sea Region, as well as contributed to EU MS policy making and cooperation between BSR countries on territorial development. The EU Territorial Agenda (EU TA) and Urban Agenda (EU UA), as well as UN New Urban Agenda need to be considered in this respect.","project_url":"https://www.espon.eu/BT%202050","type":"Project Package","publication_date":null,"archive":[{"name":"project_bt2050-territorial-scenarios-for-the-baltic-sea-region.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/1531/project_bt2050-territorial-scenarios-for-the-baltic-sea-region.zip","file_size":"1.2 MB"}],"status":"Published"},{"id":1448,"name":"MSP-LSI - Maritime spatial planning and land-sea interactions","abstract":"# ESPON project package: 'MSP-LSI - Maritime spatial planning and land-sea interactions'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: MSP-LSI - Maritime spatial planning and land-sea interactions\r\n- Url: https://www.espon.eu/MSP-LSI\r\n- Id: 34\r\n- Update: Feb. 18, 2020, 2:13 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nThe MSP-LSI project have identified a potential opportunity to improve their planning processes through the coordinated, comparable and systematic acquisition and analysis of both marine and terrestrial data and information at regional level (NUTS 2 or NUTS 3, for the marine realm possibly also in alternative systems, e.g. grid based statistical classes). Such an approach would not only bring significant efficiencies in collecting, collating and analysing relevant social, economic and environmental data, but would also improve the understanding of wider regional level interactions.\r\r\n\r\r\nThe territorial evidence that will be produced within this targeted analysis will be useful for all Member States dealing with the implementation of the above-mentioned EU Directive and with MSP itself. The benefits of having useful data for MSP can help increase cross-border cooperation between EU countries (on cables, pipelines, shipping lanes, wind installations) and also increase coordination between administrations in each country through the use of a single instrument to balance the development of a range of maritime activities.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\nNone\r\n\r\n\r\n## Other Data\r\n\r\n- Case 1 - Croatian Coast and Islands\r\n  - other-data/ctour_cr_2OSDrmj.zip: Key actors of coastal tourism in the Croatian case study area\r\n  - other-data/crush_cr_FbWWSIC.zip: Key actors of the cruise shipping  value chain in the Croatian case study area\r\n- Case 2 - Dutch North Sea Coast\r\n  - other-data/owind_nt_jTyvCkD.zip: Key actors of the Offshore wind energy Value Chain in the Netherlands\r\n  - other-data/cargo_nt_lFlIoOX.zip: Key actors of the Maritime Cargo Transport Value Chain in the Netherlands\r\n- Shared indicators in case studies\r\n  - other-data/contdire_XZGskK3.zip: Container shipping at ports by direction\r\n  - other-data/bluenerg_n6KTR8b.zip: Blue energy typologies\r\n  - other-data/motorsea.zip: Motorways of the Sea and Trans-European Transport Network\r\n  - other-data/contport_ZF1hG4v.zip: Container shipping at European ports\r\n  - other-data/cru_dire_QL5PgJX.zip: Cruise activity at ports by direction\r\n  - other-data/cru_port_q9h0Q3m.zip: Cruise activity at ports\r\n  - other-data/cruinflu_EphxKvM.zip: Economic influence of cruise ports\r\n  - other-data/fer_port_Lc47PO7.zip: Ferry passengers at ports\r\n  - other-data/ferinflu_2GQVEVu.zip: Economic influence of ferry ports\r\n  - other-data/gdpcoast_OhzM1ag.zip: GDP in coastal regions (coastal average)\r\n  - other-data/gdpnatio_kDQCQRO.zip: GDP in coastal regions (national averages)\r\n  - other-data/int_lane_yxgf5yg.zip: Intensity of marine use: shipping lanes\r\n  - other-data/mar_carg_VUbSxwG.zip: Marine exposure due to port influence based on port proximity and volume of cargo\r\n  - other-data/org_pollu_JGaIG07.zip: Organic pollution (total kg of pesticides per year)\r\n  - other-data/pd_coast_D2ohK8d.zip: Population density in coastal areas\r\n  - other-data/pd_wc_n2_on4LgDd.zip: Population density per NUTS2 within water catchment areas\r\n  - other-data/ino_pollu_HhHfJpa.zip: Inorganic pollution (total kg of contaminants per year)\r\n  - other-data/inv_spe__EFe3tDE.zip: Total number of invasive species\r\n  - other-data/mar_carg_DHpyAe3.zip: Marine ecoregions\r\n  - other-data/mar_prod_8hgElGK.zip: Marine exposure due to port influence based on port proximity and liquid energetic products\r\n  - other-data/mari_pro_kUeVsUI.zip: Mariculture production (shellfish farms)\r\n  - other-data/seadepth.zip: Sea depth\r\n  - other-data/popd_wc__Ns06sX8.zip: Water catchment areas population density\r\n  - other-data/shipdire_jILjJ9K.zip: Total shipping at ports by direction\r\n  - other-data/shipport_nAsYWue.zip: Total shipping at ports\r\n  - other-data/wave_pow_Mn7Lkxn.zip: European wave resource distribution\r\n  - other-data/wind_pow_cZNeVkS.zip: European wind power distribution\r\n- Case 3 - Gulf of Gdańsk\r\n  - other-data/ctour_gg_BTVD74f.zip: Key actors of the Coastal Tourism Value Chain in the Gulf of Gdańsk\r\n  - other-data/cargo_gg_uYhEcd4.zip: Key actors of the Marine Cargo Transport Value Chain in the Gulf Gdańsk\r\n  - other-data/passe_gg_JijXapC.zip: Key actors of the Passenger Transport Value Chain in the Gulf of Gdańsk\r\n  - other-data/crush_gg_lQ3eC0k.zip: Key actors of the Cruise Shipping Value Chain in the Gulf of Gdańsk\r\n  - other-data/shibd_gg_DeA8A5A.zip: Key actors of the Shipbuilding Value Chain in the Gulf of Gdańsk\r\n- Case 4 - Pomeranian Bight\r\n  - other-data/ctour_pb.zip: Key leisure activity locations in the Pomeranian Bight Case Study Area\r\n  - other-data/owind_pb.zip: Key actors in the Offshore wind energy Value Chain in the Pomeranian Bight\r\n- Case 5 - Slovenia\r\n  - other-data/mari_slv_MpSx4so.zip: Key actors of the maricultue value chain in the Slovenian case study area\r\n  - other-data/ctour_sl_YVW7uDb.zip: Key actors of coastal tourism in the Slovenian case study area\r\n\r\n","project":"MSP-LSI - Maritime spatial planning and land-sea interactions","project_abstract":"The MSP-LSI project have identified a potential opportunity to improve their planning processes through the coordinated, comparable and systematic acquisition and analysis of both marine and terrestrial data and information at regional level (NUTS 2 or NUTS 3, for the marine realm possibly also in alternative systems, e.g. grid based statistical classes). Such an approach would not only bring significant efficiencies in collecting, collating and analysing relevant social, economic and environmental data, but would also improve the understanding of wider regional level interactions.\r\n\r\nThe territorial evidence that will be produced within this targeted analysis will be useful for all Member States dealing with the implementation of the above-mentioned EU Directive and with MSP itself. The benefits of having useful data for MSP can help increase cross-border cooperation between EU countries (on cables, pipelines, shipping lanes, wind installations) and also increase coordination between administrations in each country through the use of a single instrument to balance the development of a range of maritime activities.","project_url":"https://www.espon.eu/MSP-LSI","type":"Project Package","publication_date":null,"archive":[{"name":"project_msp-lsi-maritime-spatial-planning-and-land-sea-interactions.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/1448/project_msp-lsi-maritime-spatial-planning-and-land-sea-interactions.zip","file_size":"345.7 MB"}],"status":"Published"},{"id":1420,"name":"Financial Instruments and Territorial Cohesion","abstract":"# ESPON project package: 'Financial Instruments and Territorial Cohesion'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: Financial Instruments and Territorial Cohesion\r\n- Url: https://www.espon.eu/financial-instruments\r\n- Id: 32\r\n- Update: Nov. 28, 2019, 3:31 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nThe main objective of this research activity is to provide territorial analysis on the impacts of European Structural and Investment Funds’ financial instruments in the 2007-2013 programming period and where data allows in the 2014-2020 programming period. The main outcome should be evidence on what the increasing shift to using financial instruments implies for the objective of territorial cohesion and whether using financial instruments as a complement to grant schemes is an effective way to implement European Structural and Investment Funds in terms of added value for territorial development.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_1216_qog_csv.zip: Quality of government (typology) (qog)\r\n- main-data/ind_1214_urbrur_csv.zip: Urban-rural classification (urbrur)\r\n- main-data/ind_1217_fincon_csv.zip: The national financial context (fincon)\r\n- main-data/ind_1215_elegible_csv.zip: Elegibility objectives under cohesion policy 2007-2013 (typology) (elegible)\r\n- main-data/ind_1227_funman_csv.zip: Financial instrument 2007-2013: fund managers (total) (funman)\r\n- main-data/ind_1281_gdp0713_csv.zip: GDP 2007-2013 (gdp0713)\r\n- main-data/ind_1290_oth44a_csv.zip: Other recipients supported under article 44a (oth44a)\r\n- main-data/ind_1285_le44a_csv.zip: Large enterprises supported under article 44a (le44a)\r\n- main-data/ind_1292_sme44b_csv.zip: Other SMEs supported under article 44b (sme44b)\r\n- main-data/ind_1293_me44b_csv.zip: Micro-enterprises supported under article 44b (me44b)\r\n- main-data/ind_1286_sme44a_csv.zip: Other SMEs supported under article 44a (sme44a)\r\n- main-data/ind_1287_me44a_csv.zip: Micro-enterprises supported under article 44a (me44a)\r\n- main-data/ind_1288_ind44a_csv.zip: individuals supported under article 44a (ind44a)\r\n- main-data/ind_1289_urb44a_csv.zip: Urban projects supported under article 44a (urb44a)\r\n- main-data/ind_1291_le44b_csv.zip: Large enterprises supported under article 44b (le44b)\r\n- main-data/ind_1295_urb44b_csv.zip: Urban projects supported under article 44b (urb44b)\r\n- main-data/ind_1294_ind44b_csv.zip: Individuals supported under article 44b (ind44b)\r\n- main-data/ind_1296_oth44b_csv.zip: Other recipients supported under article 44b (oth44b)\r\n- main-data/ind_1297_jobs_csv.zip: Jobs created through financial instruments (jobs)\r\n- main-data/ind_1280_comeuro_csv.zip: OP contributions EU amount committed to FIs 2007-2013 (comeuro)\r\n- main-data/ind_1282_cohallo_csv.zip: Cohesion policy allocations 2007-2013 (cohallo)\r\n- main-data/ind_1283_comcoh_csv.zip: OP contributions to FIs as a share of Cohesion policy allocations 2007-2013 (comcoh)\r\n- main-data/ind_1284_comgdp_csv.zip: OP contributions to FIs EU amount as % of GDP 2007-13 (comgdp)\r\n- main-data/non-std/ind_1207_sfc07pro.zip: Tabulated data on FEIs situation 170331 (sfc07pro)\r\n- main-data/non-std/ind_1209_pc_air.zip: Project categorisation data by five dimensions (pc_air)\r\n- main-data/ind_1225_sharegdp_csv.zip: FI investment share of regional GDP 2007-2013 (sharegdp)\r\n- main-data/ind_1224_gdp0713_csv.zip: Regional GDP. Total 2007-2013 (gdp0713)\r\n- main-data/ind_1222_eu_pay_csv.zip: Historic EU payments regionalised and modelled (eu_pay)\r\n- main-data/ind_1223_sharesf_csv.zip: FI Investment share of structural fund expenditure (sharesf)\r\n- main-data/ind_1195_eqvc_c_csv.zip: equity and VC investment for energy in buildings (eqvc_c)\r\n- main-data/ind_1201_noops_csv.zip: ESIF operational programmes offering financial instruments (total) (noops)\r\n- main-data/ind_1202_legacy_csv.zip: Legacy resources for financial instruments 2007-2013 (legacy)\r\n- main-data/ind_1187_loa_a_csv.zip: loan investment for enterprises (loa_a)\r\n- main-data/ind_1188_loan_b_csv.zip: loan investment for urban development (loan_b)\r\n- main-data/ind_1189_loan_c_csv.zip: loan investment for energy in buildings (loan_c)\r\n- main-data/ind_1190_guar_a_csv.zip: guarantee investment for enterprises (guar_a)\r\n- main-data/ind_1191_guar_b_csv.zip: guarantee investment for urban development (guar_b)\r\n- main-data/ind_1192_guar_c_csv.zip: guarantee investment for energy in buildings (guar_c)\r\n- main-data/ind_1193_eqvc_a_csv.zip: equity and VC investment for enterprises (eqvc_a)\r\n- main-data/ind_1194_eqvc_b_csv.zip: equity and VC investment for urban development (eqvc_b)\r\n- main-data/ind_1196_othe_a_csv.zip: other investment for enterprises (othe_a)\r\n- main-data/ind_1197_othe_b_csv.zip: other investment for urban development (othe_b)\r\n- main-data/ind_1198_othe_c_csv.zip: other investment for energy in buildings (othe_c)\r\n- main-data/ind_1211_upt_abs_csv.zip: Financial instrument uptake (absolut amounts) (upt_abs)\r\n- main-data/ind_1212_upt_rel_csv.zip: Financial instrument uptake (relative amounts) (upt_rel)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- Lombardy case study data\r\n  - other-data/DB2020_template_Lombardy.xls: Lombardy data\r\n- Andalucia case study data\r\n  - other-data/DB2020_template_Andalucia.xls: Andalucia data\r\n- Wielkopolskie case study data\r\n  - other-data/DB2020_template_Wielkopolskie.xls: Wielkopolskie data\r\n- Support for urban and enery-efficiency related projects by form of finance. PC data\r\n  - other-data/DB2020_template_urbenfof.xls: Support for urban and enery-efficiency related projects by form of finance\r\n- Support for enterprises by form of finance. PC data\r\n  - other-data/DB2020_template_enterfof.xls: Support for enterprises by form of finance\r\n\r\n","project":"Financial Instruments and Territorial Cohesion","project_abstract":"The main objective of this research activity is to provide territorial analysis on the impacts of European Structural and Investment Funds’ financial instruments in the 2007-2013 programming period and where data allows in the 2014-2020 programming period. The main outcome should be evidence on what the increasing shift to using financial instruments implies for the objective of territorial cohesion and whether using financial instruments as a complement to grant schemes is an effective way to implement European Structural and Investment Funds in terms of added value for territorial development.","project_url":"https://www.espon.eu/financial-instruments","type":"Project Package","publication_date":null,"archive":[{"name":"project_financial-instruments-and-territorial-cohesion_7d9XrB0.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/1420/project_financial-instruments-and-territorial-cohesion_7d9XrB0.zip","file_size":"7.9 MB"}],"status":"Published"},{"id":1534,"name":"BIG DATA - Potentials of big data for integrated territorial policy development in the European growth corridors","abstract":"# ESPON project package: 'BIG DATA - Potentials of big data for integrated territorial policy development in the European growth corridors'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: BIG DATA - Potentials of big data for integrated territorial policy development in the European growth corridors\r\n- Url: https://www.espon.eu/big-data-corridors\r\n- Id: 31\r\n- Update: July 1, 2021, 3:48 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nThis Targeted Analysis covers the so-called Northern Growth Zone that stretches from Oslo via Örebro and Turku to St Petersburg. This corridor includes the northern parts of ScanMed TEN-T Corridor and is aimed at boosting the region’s competitiveness in the global arena through the creation of a single, internationally recognized market and commuter belt.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\nNone\r\n\r\n\r\n## Other Data\r\n\r\n- Case 3 - Mobile Positioning Data for an Estonian Everyday Mobility Database\r\n  - other-data/Metadata-mov_esto_KdagYGd.xls: Metadata - Regular movements in Estonia\r\n  - other-data/R_script_for_maps_and_figures_BigDataEGC_Case_3.R: R Script\r\n  - other-data/Shape_files.zip: Shape files\r\n  - other-data/OD_matrix_201601.csv: Regular movements in Estonia - OD matrix\r\n- Case 1 - Traffic measurement data in Finland.\r\n  - other-data/odmte18.xls: Peak morning traffic O-D Matrix for E-18.\r\n- Case 2 - Project partnerships in the EU\r\n  - other-data/proj_int.xls: Number of project interactions in the study area and the interaction budget\r\n\r\n","project":"BIG DATA - Potentials of big data for integrated territorial policy development in the European growth corridors","project_abstract":"This Targeted Analysis covers the so-called Northern Growth Zone that stretches from Oslo via Örebro and Turku to St Petersburg. This corridor includes the northern parts of ScanMed TEN-T Corridor and is aimed at boosting the region’s competitiveness in the global arena through the creation of a single, internationally recognized market and commuter belt.","project_url":"https://www.espon.eu/big-data-corridors","type":"Project Package","publication_date":null,"archive":[{"name":"project_big-data-potentials-of-big-data-for-integrated-territorial-policy-de_FR5wLq0.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/1534/project_big-data-potentials-of-big-data-for-integrated-territorial-policy-de_FR5wLq0.zip","file_size":"21.0 MB"}],"status":"Published"},{"id":1175,"name":"URRUC - Urban-rural connections in non-metropolitan areas","abstract":"# ESPON project package: 'URRUC - Urban-rural connections in non-metropolitan areas'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: URRUC - Urban-rural connections in non-metropolitan areas\r\n- Url: https://www.espon.eu/URRUC\r\n- Id: 30\r\n- Update: July 1, 2021, 3:50 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nUrban-rural linkages and interactions are of vital importance for the future development of the non-metropolitan regions and to achieve the Europe 2020 goals of smart, sustainable and inclusive growth actively supported by the current European Structural and Investment Funds and a number of EU policy initiatives.\r\r\n\r\r\nIn particular, the new Cohesion Policy Regulation (2014-2020) puts a strong emphasis on the role of urban-rural interactions for achieving better coordination of structural funds as well as new tools fostering integrated strategies which can allow for EU Member States to make territorial investments in a more flexible and targeted way.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\nNone\r\n\r\n\r\n## Other Data\r\n\r\n- Population density\r\n  - other-data/ESPON_URRUC_Final_Report_pop_dens.xls: Metadata\r\n  - other-data/ESPON_URRUC_Final_Report_pop_dens.rar: Data\r\n- Main inflows of commuters into Scarborough\r\n  - other-data/ESPON_URRUC_Annex_V_com_infl_ihLJc0N.xlsx: Metadata and data\r\n- Main outflows of commuters from Scarborough\r\n  - other-data/ESPON_URRUC_Annex_V_com_outf_8QFhioT.xlsx: Metadata and data\r\n- Demographic change of Valle Arroscia\r\n  - other-data/ESPON_URRUC_Annex_VI_demo_cha_8NAcb4V.xlsx: Metadata and data\r\n- Destinations by type of trip in the area of Valle Arroscia\r\n  - other-data/ESPON_URRUC_Annex_VI_trips_de.xlsx: Metadata and data\r\n- Socio-economic profile of rural municipalities in Västerbotten\r\n  - other-data/ESPON_URRUC_Annex_VII_socio_eco_HNEKeTT.xlsx: Metadata and data\r\n- Employment profile of municipalities in Västerbotten\r\n  - other-data/ESPON_URRUC_Annex_VII_empl_pro_nWY2Tr0.xlsx: ESPON_URRUC_Annex_VII_empl_pro_nWY2Tr0.xlsx\r\n- GVA per head for North Yorkshire and Scarborough\r\n  - other-data/ESPON_URRUC_Annex_V_GVA_head.xlsx: Metadata and data\r\n- Employment and unemployment in Scarborough\r\n  - other-data/ESPON_URRUC_Annex_V_empl_une_VrwpBbx_TSHLCw5.xlsx: Metadata and data\r\n- Median Weekly Pay by Workplace and Residence in Scarborough\r\n  - other-data/ESPON_URRUC_Annex_V_weekly_p.xlsx: Metadata and data\r\n- Commute mode share by type of commuting areas and sub-areas\r\n  - other-data/ESPON_URRUC_Annex_V_comm_mod.xlsx: Metadata and data\r\n- Destinations of trips started in the Municipalities of Valle Arroscia\r\n  - other-data/ESPON_URRUC_Annex_VI_trips_de_nLR79sp.xlsx: Metadata and data\r\n- Self-containment index\r\n  - other-data/ESPON_URRUC_Annex_VI_self_con_5u4pR8u.xlsx: Metadata and data\r\n- Origins of trips destined to the Municipalities of Valle Arroscia\r\n  - other-data/ESPON_URRUC_Annex_VI_trips_or_eV2DvgI.xlsx: Metadata and data\r\n- Index of attractiveness of the Municipalities of Valle Arroscia\r\n  - other-data/ESPON_URRUC_Annex_VI_index_Val_yEntsll.xlsx: Metadata and data\r\n- Employment change in metro regions\r\n  - other-data/ESPON_URRUC_Annex_I_emp_metr.xlsx: Metadata and data\r\n\r\n","project":"URRUC - Urban-rural connections in non-metropolitan areas","project_abstract":"Urban-rural linkages and interactions are of vital importance for the future development of the non-metropolitan regions and to achieve the Europe 2020 goals of smart, sustainable and inclusive growth actively supported by the current European Structural and Investment Funds and a number of EU policy initiatives.\r\n\r\nIn particular, the new Cohesion Policy Regulation (2014-2020) puts a strong emphasis on the role of urban-rural interactions for achieving better coordination of structural funds as well as new tools fostering integrated strategies which can allow for EU Member States to make territorial investments in a more flexible and targeted way.","project_url":"https://www.espon.eu/URRUC","type":"Project Package","publication_date":null,"archive":[{"name":"project_urruc-urban-rural-connections-in-non-metropolitan-areas.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/1175/project_urruc-urban-rural-connections-in-non-metropolitan-areas.zip","file_size":"149.2 MB"}],"status":"Published"},{"id":969,"name":"ECR2 - Economic Crisis (2013)","abstract":"# ESPON project package: 'ECR2 - Economic Crisis (2013)'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: ECR2 - Economic Crisis (2013)\r\n- Url: https://www.espon.eu/programme/projects/espon-2013/applied-research/ecr2-economic-crisis-resilience-regions\r\n- Id: 24\r\n- Update: Feb. 25, 2019, 3:35 p.m.\r\n\r\n\r\n### Abstract\r\n\r\n...\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_489_hist_res_reg_csv_VJU02Tx.zip: Historical resilience (Hist_Res_Reg)\r\n- main-data/ind_490_rel_res_csv_6ndsCif.zip: Relative regional resilience (Rel_Res)\r\n- main-data/ind_491_comp_res_csv_vzjChrL.zip: Employment vs. GDP comparative Resilience (Comp_Res)\r\n- main-data/ind_492_loc_res_csv_WKj5p9E.zip: Local resilience (Loc_Res)\r\n- main-data/ind_493_gdp_res_reg_csv_ndElKQx.zip: GDP resilience - regional (GDP_Res_Reg)\r\n- main-data/ind_494_emp_res_reg_csv_gZWWQy9.zip: Employment resilience - regional (Emp_Res_Reg)\r\n- main-data/ind_495_gdp_res_nat_csv_T4Xge80.zip: GDP resilience - national (GDP_Res_Nat)\r\n- main-data/ind_496_emp_res_nat_csv_Wpf5r7C.zip: Employment resilience - national (Emp_Res_Nat)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n\r\n","project":"ECR2 - Economic Crisis (2013)","project_abstract":"...","project_url":"https://www.espon.eu/programme/projects/espon-2013/applied-research/ecr2-economic-crisis-resilience-regions","type":"Project Package","publication_date":"2019-01-24T18:29:36.520901+01:00","archive":[{"name":"project_ecr2-economic-crisis-2013_NoFUVuT.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/969/project_ecr2-economic-crisis-2013_NoFUVuT.zip","file_size":"283.8 KB"}],"status":"Published"},{"id":963,"name":"NSS - North Sea Star (2013)","abstract":"# ESPON project package: 'NSS - North Sea Star (2013)'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: NSS - North Sea Star (2013)\r\n- Url: https://www.espon.eu/programme/projects/espon-2013/targeted-analyses/nss-north-sea-star-north-sea-spreading-transnational\r\n- Id: 23\r\n- Update: Feb. 25, 2019, 3:35 p.m.\r\n\r\n\r\n### Abstract\r\n\r\n...\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_453_answer_csv.zip: Presence of partners of Answer project (Answer)\r\n- main-data/ind_454_biochar_csv_WaYezas.zip: Presence of partners of Biochar project (Biochar)\r\n- main-data/ind_455_bwc_csv_BthkfEY.zip: Presence of partners of BWC project (BWC)\r\n- main-data/ind_456_c2ci_csv.zip: Presence of partners of C2Cl project (C2CI)\r\n- main-data/ind_457_carenorth_csv.zip: Presence of partners of CareNorth project (CareNorth)\r\n- main-data/ind_458_climafruit_csv.zip: Presence of partners of ClimaFruit project (ClimaFruit)\r\n- main-data/ind_459_e_harbours_csv_o6H4bwc.zip: Presence of partners of E_Harbours project (E_Harbours)\r\n- main-data/ind_460_e_mobility_csv_ugRcwGM.zip: Presence of partners of E_Mobility project (E_Mobility)\r\n- main-data/ind_461_enercoast_csv.zip: Presence of partners of Enercoast project (Enercoast)\r\n- main-data/ind_462_evnsr_csv_TwjcpD4.zip: Presence of partners of EVNSR project (EVNSR)\r\n- main-data/ind_463_greengrowing_csv.zip: Presence of partners of GreenGrowing project (GreenGrowing)\r\n- main-data/ind_464_gsa_csv_0j8JZas.zip: Presence of partners of GSA project (GSA)\r\n- main-data/ind_465_hytrec_csv.zip: Presence of partners of HyTrEc project (HyTrEc)\r\n- main-data/ind_466_ifp_csv.zip: Presence of partners of IFP project (IFP)\r\n- main-data/ind_467_lowcap_csv.zip: Presence of partners of Lowcap project (Lowcap)\r\n- main-data/ind_468_powercluster_csv.zip: Presence of partners of PowerCluster project (PowerCluster)\r\n- main-data/ind_469_sep_csv.zip: Presence of partners of SEP project (SEP)\r\n- main-data/ind_470_sail_soil_csv.zip: Presence of partners of S@IL project (SAIL_SOIL)\r\n- main-data/ind_471_supplyconnect_csv.zip: Presence of partners of Supply Connect project (SupplyConnect)\r\n- main-data/ind_472_lead_csv.zip: Energy projects (total lead partner) (Lead)\r\n- main-data/ind_473_total_proj_csv.zip: Total number of projects (TOTAL_Proj)\r\n- main-data/ind_476_theme_innovation_csv.zip: Energy projects (total) - on Innovation (Theme_Innovation)\r\n- main-data/ind_477_theme_environment_csv.zip: Energy projects (total) - on Environment (Theme_Environment)\r\n- main-data/ind_478_theme_accessibility_csv.zip: Energy projects (total) - on Accessibility (Theme_Accessibility)\r\n- main-data/ind_479_theme_sustainable_csv.zip: Energy projects (total) - on Sustainable Communities (Theme_Sustainable)\r\n- main-data/ind_482_cluster_evnsr_lowcap_csv.zip: Energy projects (total) - part of EVNSR and LOWCAP clusters (Cluster_EVNSR_LOWCAP)\r\n- main-data/ind_483_cluster_lowcap_csv.zip: Energy projects (total) - part of LOWCAP cluster (Cluster_LOWCAP)\r\n- main-data/ind_484_cluster_evnsr_csv.zip: Energy projects (total) - part of EVNSR cluster (Cluster_EVNSR)\r\n- main-data/ind_485_cluster_none_csv_9gKK6vB.zip: Energy projects (total) - not part of a cluster (Cluster_None)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n\r\n","project":"NSS - North Sea Star (2013)","project_abstract":"...","project_url":"https://www.espon.eu/programme/projects/espon-2013/targeted-analyses/nss-north-sea-star-north-sea-spreading-transnational","type":"Project Package","publication_date":"2019-01-24T18:29:33.674128+01:00","archive":[{"name":"project_nss-north-sea-star-2013_uMYa6sz.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/963/project_nss-north-sea-star-2013_uMYa6sz.zip","file_size":"826.4 KB"}],"status":"Published"},{"id":966,"name":"SEMIGRA - Selective Migration and Unbalanced Sex Ratio in Rural Regions (2013)","abstract":"# ESPON project package: 'SEMIGRA - Selective Migration and Unbalanced Sex Ratio in Rural Regions (2013)'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: SEMIGRA - Selective Migration and Unbalanced Sex Ratio in Rural Regions (2013)\r\n- Url: https://www.espon.eu/programme/projects/espon-2013/targeted-analyses/semigra-selective-migration-and-unbalanced-sex-ratio\r\n- Id: 20\r\n- Update: Feb. 25, 2019, 3:35 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nThe project contains two main analytical dimensions: on a general level estimating the impact of unbalanced sex ratio structures in the context of the EU cohesion policy and on a more specific level enhancing strategy building on a regional and local level.\r\r\n\r\r\n    Identification of similarities and differences between regions affected by selective migration.\r\r\n    In-depth analysis of the five case study regions.\r\r\n    Developing analytical support for strategy building and policy making.\r\r\n    Dissemination, communication and transfer of research results.\r\r\n\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_432_gendergap_15-24_csv_GszZ6Qn.zip: Gender gap - age group 15-24 (GenderGap_15-24)\r\n- main-data/ind_433_gendergap_25-34_csv_ypbyoxy.zip: Gender gap - age group 25-34 (GenderGap_25-34)\r\n- main-data/ind_434_gendergap_35-44_csv_mHRKxtN.zip: Gender gap - age group 35-44 (GenderGap_35-44)\r\n- main-data/ind_437_wf_agriculture_csv_247I6Sh.zip: Agriculture (WF_Agriculture)\r\n- main-data/ind_438_wf_industryconstruction_csv_hLn05Gy.zip: Industry and Construction (WF_IndustryConstruction)\r\n- main-data/ind_439_wf_tta_csv_5EBS8KZ.zip: Trade, transport, accommodation  (WF_TTA)\r\n- main-data/ind_440_wf_publicservices_csv_lytSG6r.zip: Public services (WF_PublicServices)\r\n- main-data/ind_441_wf_otherservices_csv_GjUdQzH.zip: Other services (WF_OtherServices)\r\n- main-data/ind_444_sr_20-24_csv_yMxp7Re.zip: Sex ratio - age group 20-24 (SR_20-24)\r\n- main-data/ind_445_sr_25-29_csv_lQxPFWA.zip: Sex ratio - age group 25-29 (SR_25-29)\r\n- main-data/ind_446_sr_30-34_csv_1loXGQ2.zip: Sex ratio - age group 30-34 (SR_30-34)\r\n- main-data/ind_447_sr_type_csv.zip: Regional sex ratio structures (typology) (SR_Type)\r\n- main-data/ind_448_typology_gendergap_csv_v4VGeDR.zip: Gender differences on the labour market (typology) (Typology_Gendergap)\r\n- main-data/ind_449_typology_industrystructure_csv_kZIUwqG.zip: Regional labour markets (typology) (Typology_IndustryStructure)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n\r\n","project":"SEMIGRA - Selective Migration and Unbalanced Sex Ratio in Rural Regions (2013)","project_abstract":"The project contains two main analytical dimensions: on a general level estimating the impact of unbalanced sex ratio structures in the context of the EU cohesion policy and on a more specific level enhancing strategy building on a regional and local level.\r\n\r\n    Identification of similarities and differences between regions affected by selective migration.\r\n    In-depth analysis of the five case study regions.\r\n    Developing analytical support for strategy building and policy making.\r\n    Dissemination, communication and transfer of research results.\r\n","project_url":"https://www.espon.eu/programme/projects/espon-2013/targeted-analyses/semigra-selective-migration-and-unbalanced-sex-ratio","type":"Project Package","publication_date":"2019-01-24T18:29:33.850744+01:00","archive":[{"name":"project_semigra-selective-migration-and-unbalanced-sex-ratio-in-rural-regions_wcqOkSJ.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/966/project_semigra-selective-migration-and-unbalanced-sex-ratio-in-rural-regions_wcqOkSJ.zip","file_size":"783.8 KB"}],"status":"Published"},{"id":1029,"name":"CPS - Cross-border Public Services","abstract":"# ESPON project package: 'CPS - Cross-border Public Services'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: CPS - Cross-border Public Services\r\n- Url: https://www.espon.eu/CPS\r\n- Id: 15\r\n- Update: Aug. 26, 2022, 4:21 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nThe targeted Cross-border Public Services (CPS, 2018) analysis aimed to improve delivery practices of CPS in European border-regions and to increase awareness about the added value of CPS provision. The project produced a first comprehensive overview of CPS across Europe. This overview allowed to explore territorial patterns of CPS provision and to highlight the main features of good practice examples. In addition, in ten case study areas CPS provision and their future perspectives have been analysed in-depth. This supported a better understanding of the legal basis, governance models, infrastructure use and needs addressed and tasks of CPS. European wide and case study analysis highlight future options and possibilities to further enhance service provision in border areas by means of CPS.\r\r\n\r\r\nThe main outcomes of this project address various stakeholders. At European and national levels, territorial evidence and findings on key challenges in implementing CPS encourage measures to support CPS development through top-down initiatives. Similarly, Interreg programme authorities are encouraged to promote CPS development in their programmes. Stakeholders in border regions may use project outcomes as source of inspiration to explore needs and added value of CPS development. In particular, the Practical Guide for CPS development helps cross-border institutions, border regions and public service providers to explore the CPS development possibilities.\r\r\n\r\r\nAs a tanglible project output, for the first time a comprehensive European-wide CPS database was collected, which can now be accessed through the ESPON database.\r\r\n\r\r\nIn the follow up study ESPON CPS 2.0 (2022), this CPS database was enhanced in several dimension and further developed to a European-wide CPS Inventory. Enhancements include (i) revision and extension of attributes, (ii) addition of a polygon layer, (iii) improvements to the geography of the services, and (iv) identification and addition of new CPS.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\nNone\r\n\r\n\r\n## Other Data\r\n\r\n- CPS Inventory\r\n  - other-data/CPS_Locations_u3KWWMa.zip: CPS Locations (shapefiles)\r\n  - other-data/CPS_Inventory_3lV5FCM.xlsx: CPS Inventory\r\n\r\n","project":"CPS - Cross-border Public Services","project_abstract":"The targeted Cross-border Public Services (CPS, 2018) analysis aimed to improve delivery practices of CPS in European border-regions and to increase awareness about the added value of CPS provision. The project produced a first comprehensive overview of CPS across Europe. This overview allowed to explore territorial patterns of CPS provision and to highlight the main features of good practice examples. In addition, in ten case study areas CPS provision and their future perspectives have been analysed in-depth. This supported a better understanding of the legal basis, governance models, infrastructure use and needs addressed and tasks of CPS. European wide and case study analysis highlight future options and possibilities to further enhance service provision in border areas by means of CPS.\r\n\r\nThe main outcomes of this project address various stakeholders. At European and national levels, territorial evidence and findings on key challenges in implementing CPS encourage measures to support CPS development through top-down initiatives. Similarly, Interreg programme authorities are encouraged to promote CPS development in their programmes. Stakeholders in border regions may use project outcomes as source of inspiration to explore needs and added value of CPS development. In particular, the Practical Guide for CPS development helps cross-border institutions, border regions and public service providers to explore the CPS development possibilities.\r\n\r\nAs a tanglible project output, for the first time a comprehensive European-wide CPS database was collected, which can now be accessed through the ESPON database.\r\n\r\nIn the follow up study ESPON CPS 2.0 (2022), this CPS database was enhanced in several dimension and further developed to a European-wide CPS Inventory. Enhancements include (i) revision and extension of attributes, (ii) addition of a polygon layer, (iii) improvements to the geography of the services, and (iv) identification and addition of new CPS.","project_url":"https://www.espon.eu/CPS","type":"Project Package","publication_date":"2019-03-11T09:42:38+01:00","archive":[{"name":"project_cps-cross-border-public-services_wsaKd15.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/1029/project_cps-cross-border-public-services_wsaKd15.zip","file_size":"14.9 MB"}],"status":"Published"},{"id":971,"name":"LOCATE - Territories and Low-Carbon Economy","abstract":"# ESPON project package: 'LOCATE - Territories and Low-Carbon Economy'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: LOCATE - Territories and Low-Carbon Economy\r\n- Url: https://www.espon.eu/low-carbon-economy\r\n- Id: 12\r\n- Update: Sept. 7, 2023, 2:58 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nThis dataset provides the calculated electricity production by two renewable energy technologies ((a) photovoltaic and (b) onshore wind technologies), the calculated final energy consumption for space heating, domestic hot water production, and space cooling in (c) the residential building sector and (d) the buildings of the service sector as well as share of renewable energy carriers in final energy consumption for space heating, domestic hot water and cooling in buildings ((e) residential buildings and (f) buildings of the service sector) on the level of NUTS3 regions.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_809_roaencnt_csv_V3FnU0P.zip: Final energy consumption of petroleum products in the road transport sector (RoaEnCnT)\r\n- main-data/ind_811_roaencnc_csv.zip: Final energy consumption of petroleum products per capita in the road transport sector (RoaEnCnC)\r\n- main-data/ind_929_winelgna_csv_EURStgq.zip: Electricity generation by wind onshore technology per km2 (WinElGnA)\r\n- main-data/ind_928_winelgnt_csv_NKKYez9.zip: Electricity generation by wind onshore technology (WinElGnT)\r\n- main-data/ind_927_phtelgna_csv.zip: Electricity generation by photovoltaic technology per km² (PhtElGnA)\r\n- main-data/ind_926_phtelgnt_csv.zip: Electricity generation by photovoltaic technology (PhtElGnT)\r\n- main-data/ind_795_resrenen_csv_WlzDuCf.zip: Renewable energy carriers used for space heating, cooling and water heating in private and public service sector buildings (share of) (ResRenEn)\r\n- main-data/ind_2871_biopot_csv.zip: Biomass potential available for decentral heating and hot water in buildings (estimated) (BioPot)\r\n- main-data/ind_2872_hdindha_csv_9VJBsac.zip: Heat demand (excl. process heat) in municipalities with district heating systems (estimated) (HDinDHA)\r\n- main-data/ind_2875_gasavail_csv.zip: Access to natural gas for buildings (estimated) (GasAvail)\r\n- main-data/ind_793_resheatc_csv.zip: Final energy consumption in the residential building sector per capita (ResHeatC)\r\n- main-data/ind_2877_srenecdh_csv_vcTA3aG.zip: Renewable energy input for district heat production (share of) (SRenEcDH)\r\n- main-data/ind_2876_srenece_csv_Az8RyKX.zip: Renewable energy input for electricity production (share of) (SRenEcE)\r\n- main-data/ind_2870_chpcap_csv.zip: Electricity production by utilities from combined heat and power capacity (estimated) (CHPCap)\r\n- main-data/ind_3061_renecdh_csv.zip: Renewable district heat for space heating, cooling and hot water in residential buildings (estimate) (RenEcDH)\r\n- main-data/ind_3062_renece_csv.zip: Renewable electricity input for space heating, cooling and hot water in residential buildings (estimate) (RenEcE)\r\n- main-data/ind_3065_areagasa_csv.zip: Heat gross floor area in residential buildings located close to the natural gas infrastructure (estimated) (AreaGasA)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- Energetic potential of various forms of biomass and geothermal heat\r\n  - other-data/LOCATE_Other_biomass-geothermal.xls: LOCATE_Other_biomass-geothermal\r\n- Final energy consumption of various energy carriers in various sectors\r\n  - other-data/LOCATE_Other_consumption-energy-carriers.xls: LOCATE_Other_consumption-energy-carriers\r\n- Electricity generation potential of hydropower photovoltaics and wind technologies\r\n  - other-data/LOCATE_Other_hydropower-photovoltaic-wind.xls: LOCATE_Other_hydropower-photovoltaic-wind.xls\r\n- Final energy consumption for space h&c in private or public sector incl share of renewable energy\r\n  - other-data/LOCATE_Other_space-heating-cooling.xls: LOCATE_Other_space-heating-cooling\r\n- Share of renewable energy in electricity and road transport sector\r\n  - other-data/LOCATE_Other_renewables--road-transport.xls: LOCATE_Other_renewables-&-road-transport\r\n- Potential for electricity generation of solar photovoltaic\r\n  - other-data/Potential_for_electricity_generation_of_solar_PV.xls: Potential_for_electricity_generation_of_solar_PV.xls\r\n- Distribution of cooling and heating degree days\r\n  - other-data/Distribution_Cooling_Heating_degree_days.xls: Distribution of cooling and heating degree days\r\n\r\n","project":"LOCATE - Territories and Low-Carbon Economy","project_abstract":"This dataset provides the calculated electricity production by two renewable energy technologies ((a) photovoltaic and (b) onshore wind technologies), the calculated final energy consumption for space heating, domestic hot water production, and space cooling in (c) the residential building sector and (d) the buildings of the service sector as well as share of renewable energy carriers in final energy consumption for space heating, domestic hot water and cooling in buildings ((e) residential buildings and (f) buildings of the service sector) on the level of NUTS3 regions.","project_url":"https://www.espon.eu/low-carbon-economy","type":"Project Package","publication_date":"2019-01-25T14:26:28+01:00","archive":[{"name":"project_locate-territories-and-low-carbon-economy_Bc9AubH.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/971/project_locate-territories-and-low-carbon-economy_Bc9AubH.zip","file_size":"3.2 MB"}],"status":"Published"},{"id":961,"name":"Territorial Futures","abstract":"# ESPON project package: 'Territorial Futures'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: Territorial Futures\r\n- Url: https://www.espon.eu/territorial-futures\r\n- Id: 5\r\n- Update: March 15, 2019, 3:27 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nThe main objective of this activity is on the one hand to contribute to understanding possible territorial consequences, opportunities and challenges, of three “what-if” questions and with that to support policy development and agenda setting at relevant scales (European, national,regional and local). On the other hand the aim is to develop more general guidelines for territorial foresight studies within ESPON. Further reading please see below.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_907_windcapa_csv_zaL7wGo.zip: Wind power - installed capacity (MW) (windcapa)\r\n- main-data/ind_896_ind_diff_csv.zip: Tentative cohesion effects of disintegration (GDP effects) (Ind_diff)\r\n- main-data/ind_897_ind_base_csv.zip: Gross Domestic Product (GDP) per capita - baseline scenario 2030 (Ind_base)\r\n- main-data/ind_898_ind_desi_csv.zip: Gross Domestic Product (GDP) per capita - disintegration scenario 2031 (Ind_desi)\r\n- main-data/ind_422_dommatcn_csv.zip: Domestic material consumption (DMC) (DomMatCn)\r\n- main-data/ind_421_gdp_dmc_csv.zip: Gross Domestic Product (GDP ) per Domestion Material Consumption (DMC) (gdp_dmc)\r\n- main-data/ind_900_nacefper_csv_R1B7YmY.zip: Employment (share) - NACE rev.2 Section F (Construction) (naceFper)\r\n- main-data/ind_901_nacef_tot_csv.zip: Employment (total) - NACE rev.2 Section F (Construction) (naceF_Tot)\r\n- main-data/ind_902_empl_tot_csv_bA7qd1e.zip: Employment (total) (empl_tot)\r\n- main-data/ind_904_nacelper_csv.zip: Employment (share) - NACE rev.2 Section L (Real Estate) (naceLper)\r\n- main-data/ind_905_nacel_tot_csv_oxWsKWf.zip: Employment (total) - NACE rev.2 Section L (Real Estate) (naceL_Tot)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- European quality of government\r\n  - other-data/TF_ProjectArchive_EuropeanQualityGovernment.xls: TF_ProjectArchive_EuropeanQualityGovernment.xls\r\n- Housing cost burden\r\n  - other-data/TF_ProjectArchive_Housingcostburden.xls: TF_ProjectArchive_Housingcostburden.xls\r\n- Municipal waste per inhabitant\r\n  - other-data/TF_ProjectArchive_Municipalwaste.xls: TF_ProjectArchive_Municipalwaste.xls\r\n- Renewable energy\r\n  - other-data/TF_ProjectArchive_RenewableEnergy.xls: TF_ProjectArchive_RenewableEnergy.xls\r\n\r\n","project":"Territorial Futures","project_abstract":"The main objective of this activity is on the one hand to contribute to understanding possible territorial consequences, opportunities and challenges, of three “what-if” questions and with that to support policy development and agenda setting at relevant scales (European, national,regional and local). On the other hand the aim is to develop more general guidelines for territorial foresight studies within ESPON. Further reading please see below.","project_url":"https://www.espon.eu/territorial-futures","type":"Project Package","publication_date":"2019-01-24T18:25:34.255374+01:00","archive":[{"name":"project_territorial-futures_utz6mJH.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/961/project_territorial-futures_utz6mJH.zip","file_size":"1.3 MB"}],"status":"Published"},{"id":2918,"name":"HERIWELL - Cultural Heritage as a Source of Societal Well-being in European Regions","abstract":"# ESPON project package: 'HERIWELL - Cultural Heritage as a Source of Societal Well-being in European Regions'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: HERIWELL - Cultural Heritage as a Source of Societal Well-being in European Regions\r\n- Url: https://www.espon.eu/HERIWELL\r\n- Id: 59\r\n- Update: July 6, 2022, 11:07 a.m.\r\n\r\n\r\n### Abstract\r\n\r\nThe HERIWELL project aims to develop a pan-European methodology and a territorial analysis of the impacts of different forms of cultural heritage (including contested heritage) that can be associated with societal well-being. The analysis also considers the effects of the Covid-19 crisis on delivering and accessing cultural heritage resources. \r\r\nHow to measure the impacts of cultural heritage on society remains a challenge. To date, evidences on the impacts of cultural heritage are either too general or too specific, being based on ad hoc case studies or on specific effects (most often economic). The HERIWELL project aims to fill in this gap providing not only a detailed picture of the contribution of cultural heritage to various aspects of our lives and societies but also a structured conceptual framework and a multimethod assessment design.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\nNone\r\n\r\n\r\n## Other Data\r\n\r\n- Cultural heritage - societal well-being analysis\r\n  - other-data/NEET_rate_MxbPBGW.xlsx: NEET rate 15-29\r\n  - other-data/Participation_in_voluntary.xlsx: Percentage of participation in voluntary\r\n  - other-data/At-risk_of_poverty_rate.xlsx: People  at risk of poverty rate\r\n  - other-data/Job_Opportunity.xlsx: Gallup’s job opportunities index\r\n  - other-data/Employment_gender_gap_IVK9z7U.xls: Gender gap in employment rate 20-64\r\n  - other-data/IQI.xlsx: Institution quality index\r\n  - other-data/Tertiary_Education.xlsx: Tertiary education attainment 30-34\r\n- Intangible cultural heritage (database)\r\n  - other-data/Types_of_evidence-based_ICH_activities.xls: Types of evidence-based intangible cultural herigate activities\r\n  - other-data/Main_stakeholders_involved.xls: Main stakeholders involved\r\n  - other-data/HERIWELL_key_categories_UeVkSFE.xls: Relation to HERIWELL key categories\r\n  - other-data/Intangile_Cultural_Heritage_Territorial_Incriptions.xls: Teritorial Inscription\r\n- Most endangered cultural heritage programmes (database)\r\n  - other-data/Endangered_Heritage_DB_C3TWQho.xlsx: Current state of threatened heritage sites\r\n- Population survey on Cultural Heritage\r\n  - other-data/Anonymized_raw_data_ZEF3XBs.xlsx: Population Survey - Anonymized Raw Data\r\n  - other-data/Agreement_with_cultural_heritage-related_opinions_FhW5Vzy.xls: Agreement with opinions that are often associated with Europe’s cultural heritage\r\n  - other-data/Involvement_in_Cultural_Heritage_POEZtNH.xls: Involvement in Cultural Heritage.\r\n  - other-data/Difficult_to_access_cultural_heritage_sites_or_activities_TyR4CvO.xls: Difficult to access cultural heritage sites or activities\r\n  - other-data/Corona_pandemic_impact_on_the_use_of_internet_and_social_media__Ph7XJYs.xls: Corona pandemic impact on use of Internet and social media regarding cultural heritage\r\n  - other-data/Corona_pandemic_impact_on_the_behaviour_or_views_regarding_cultural_heritage_8PKceBM.xls: Corona pandemic impact on behaviour or views regarding cultural heritage\r\n- Cultural heritage - contextual data\r\n  - other-data/Educ_Partecipation_g1w5ms7.xls: Participation rate in education and training at Regional Level (2018)\r\n  - other-data/Culture_Empl_WCwvgIh.xls: Employment rate in Cultural and creative sectors at Regional Level (2018)\r\n  - other-data/Life_Satisf_BPH8ZVW.xls: Life Satisfaction at Regional Level\r\n  - other-data/Dwellings_IuDLAnp.xls: Historical building (before 1919) rate – Census 2011\r\n  - other-data/Tripadvisor_reviews_D04VUDB.xls: Number of reviews from TripAdvisor for CH – January 2022\r\n- List of contested or severely neglected cultural heritage cases (database)\r\n  - other-data/Contested_Heritage_DB.xls: Cases of contested or severely neglected Cultural Heritage\r\n- ERDF, EARDF, ESF and Creative Europe for Cultural Heritage\r\n  - other-data/ETC_CH_PROJ_2014_2020_OK.xlsx: European Territorial Cooperation, 2014–2020 (number of projects)\r\n  - other-data/CREATIVE_ALLOC_OK.xlsx: Creative Europe - Total amount of funding by coordinator’s country\r\n  - other-data/ERDF_CH_ALLOC_2014_2020_.xlsx: Planned ERDF allocations in intervention fields related to CH, % incidence over total ERDF\r\n  - other-data/ERDF_CH_ALLOC_PER_PROJECT_National_Sources.xlsx: ERDF average allocations per CH project according to national databases, EUR per progect\r\n  - other-data/ERDF_CH_ALLOC_PER_PROJECT_National_Sources_11BZPjE.xlsx: ESF average allocations per CH project according to national databases,  (EUR per project)\r\n  - other-data/ESF_CH_PROJ_2014_2020_National_Sources.xlsx: ESF projects in CH according to national databases, Cumulative 2014–2020 (number of projects)\r\n  - other-data/ETC_CH_ALLOC_2014_2020_OK.xlsx: European Territorial Cooperation Total eligible budget in CH, 2014–2020 (EUR)\r\n  - other-data/ERDF_CH_PROJ_2014_2020_National_Sources.xlsx: ERDF projects in CH according to national databases, Cumulative 2014–2020 (number of projects)\r\n  - other-data/CREATIVE_PROJ_OK.xlsx: Creative Europe - Number of projects by coordinator’s country\r\n  - other-data/EAFRD_CH_JoOY7nM.xlsx: EAFRD planned allocations for CH-related projects, cumulative 2014–2020 (EUR)\r\n  - other-data/ERDF_CH_ALLOC_2014_2020_National_Sources.xlsx: ERDF total allocations in CH project according to national databases, Cumulative 2014-2020, EUR\r\n  - other-data/ESF_CH_ALLOC_2014_2020_National_Sources.xlsx: ESF total allocations in CH project according to national databases, Cumulative 2014–2020, EUR\r\n\r\n","project":"HERIWELL - Cultural Heritage as a Source of Societal Well-being in European Regions","project_abstract":"The HERIWELL project aims to develop a pan-European methodology and a territorial analysis of the impacts of different forms of cultural heritage (including contested heritage) that can be associated with societal well-being. The analysis also considers the effects of the Covid-19 crisis on delivering and accessing cultural heritage resources. \r\nHow to measure the impacts of cultural heritage on society remains a challenge. To date, evidences on the impacts of cultural heritage are either too general or too specific, being based on ad hoc case studies or on specific effects (most often economic). The HERIWELL project aims to fill in this gap providing not only a detailed picture of the contribution of cultural heritage to various aspects of our lives and societies but also a structured conceptual framework and a multimethod assessment design.","project_url":"https://www.espon.eu/HERIWELL","type":"Project Package","publication_date":null,"archive":[{"name":"project_heriwell-cultural-heritage-as-a-source-of-societal-well-being-in-eur_Uxh8oH9.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/2918/project_heriwell-cultural-heritage-as-a-source-of-societal-well-being-in-eur_Uxh8oH9.zip","file_size":"2.4 MB"}],"status":"Published"},{"id":2955,"name":"COVID-19 Territorial impacts of Covid-19 and policy answers in European regions and cities","abstract":"# ESPON project package: 'COVID-19 Territorial impacts of Covid-19 and policy answers in European regions and cities'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: COVID-19 Territorial impacts of Covid-19 and policy answers in European regions and cities\r\n- Url: https://www.espon.eu/covid-19\r\n- Id: 75\r\n- Update: Aug. 26, 2022, 4:30 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nThe project of the "Geography of COVID-19 Territorial impacts of COVID-19 and policy answers in European regions and cities" aims to identify the paths to be taken to make cities and regions more resilient and inclusive to combat the medium- and long-term effects of the pandemic. Regional science has highlighted some important factors that explain why some cities and regions are affected more than others by the COVID-19 pandemic. The recent ESPON GEOCOV study on the geography of COVID-19 highlights the role of the socioeconomic characteristics, quality of governance, connectivity and health infrastructures of the regions to explain the territorial differences in terms of casualties. Most studies have been confined to the first wave of the pandemic. A key question therefore concerns whether the factors that explain different territorial impacts of the pandemic during the first wave also hold explanatory power for the second and third waves. This project sets out to (i) analyse the geography of COVID-19 and its determinants according to the different pandemic waves (a minimum of three waves, but four in some countries); (ii) understand the direct and indirect social consequences of the containment measures, including their territorial impact; and (iii) identify effective policies implemented at the local and regional level to combat these inequalities. The aim is to provide policy recommendations to help cities and regions better manage the recovery from the crisis and anticipate future crises while using the pandemic as a window of opportunity for just, green and smart transitions.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_2940_c19cy_csv_57oijWP.zip: COVID19 cases (total) (C19CY)\r\n- main-data/ind_2953_exmy_csv_SDTkmJt.zip: Excess Mortality (EXMY)\r\n- main-data/ind_2951_c19dy_csv_A7XUPpM.zip: COVID19 deaths (total) (C19DY)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- Social consequences of the COVID-19: Social benefits (case studies)\r\n  - other-data/Social_consequences_of_COVID19_-_Social_benefits_case_of_Denmark_knlK8lT.xls: Social consequences of the COVID-19: Social benefits (case of Denmark)\r\n  - other-data/Social_consequences_of_COVID19_-_Social_benefits_case_of_Finland_ACflpmy.xls: Social consequences of the COVID-19: Social benefits (case of Finland)\r\n  - other-data/Social_consequences_of_COVID19_-_Social_benefits_case_of_France_SSmHxnq.xls: Social consequences of the COVID-19: Social benefits (case of France)\r\n  - other-data/Social_consequences_of_COVID19_-_Social_benefits_case_of_the_Netherlands_PuzLtGz.xls: Social consequences of the COVID-19: Social benefits (case of the Netherlands)\r\n  - other-data/Social_consequences_of_COVID19_-_Social_benefits_case_of_Switzerland_E4DPuCj.xls: Social consequences of the COVID-19: Social benefits (case of Switzerland)\r\n  - other-data/Social_consequences_of_COVID19_-_Social_benefits_case_of_the_Romania_fRja4Xq.xls: Social consequences of the COVID-19: Social benefits (case of Romania)\r\n  - other-data/Social_consequences_of_COVID19_-_Social_benefits_case_of_the_Slovakia_JzXYHAM.xls: Social consequences of the COVID-19: Social benefits (case of Slovakia)\r\n  - other-data/Social_consequences_of_COVID19_-_Social_benefits_case_of_the_Portugal_Ub3V1z4.xls: Social consequences of the COVID-19: Social benefits (case of Portugal)\r\n  - other-data/Social_consequences_of_COVID19_-_Social_benefits_case_of_the_Hungary_CqVzljn.xls: Social consequences of the COVID-19: Social benefits (case of Hungary)\r\n  - other-data/Social_consequences_of_COVID19_-_Social_benefits_case_of_the_Lithuania_GfJRAAZ.xls: Social consequences of the COVID-19: Social benefits (case of Lithuania)\r\n- COVID19 regional typologies\r\n  - other-data/COVID19_regional_typologies_0FkJWnC.xls: COVID-19 European regional typologies\r\n- Survey of ESPON Geography of COVID-19\r\n  - other-data/ESPON_Geography_of_COVID-19_survey_data.xlsx: ESPON Geography of COVID-19 survey data\r\n- COVID19 social impacts: Evolution of the deprivation index 2019-2020\r\n  - other-data/COVID19_social_impacts_Evolution_of_the_deprivation_index_2019-2020.xls: COVID19 social impacts: Evolution of the deprivation index 2019-2020 (data)\r\n  - other-data/shapefile_COVID19_social_impacts_Evolution_of_the_deprivation_index_2019-2020.zip: COVID19 social impacts: Evolution of the deprivation index 2019-2020 (shapefiles)\r\n\r\n","project":"COVID-19 Territorial impacts of Covid-19 and policy answers in European regions and cities","project_abstract":"The project of the \"Geography of COVID-19 Territorial impacts of COVID-19 and policy answers in European regions and cities\" aims to identify the paths to be taken to make cities and regions more resilient and inclusive to combat the medium- and long-term effects of the pandemic. Regional science has highlighted some important factors that explain why some cities and regions are affected more than others by the COVID-19 pandemic. The recent ESPON GEOCOV study on the geography of COVID-19 highlights the role of the socioeconomic characteristics, quality of governance, connectivity and health infrastructures of the regions to explain the territorial differences in terms of casualties. Most studies have been confined to the first wave of the pandemic. A key question therefore concerns whether the factors that explain different territorial impacts of the pandemic during the first wave also hold explanatory power for the second and third waves. This project sets out to (i) analyse the geography of COVID-19 and its determinants according to the different pandemic waves (a minimum of three waves, but four in some countries); (ii) understand the direct and indirect social consequences of the containment measures, including their territorial impact; and (iii) identify effective policies implemented at the local and regional level to combat these inequalities. The aim is to provide policy recommendations to help cities and regions better manage the recovery from the crisis and anticipate future crises while using the pandemic as a window of opportunity for just, green and smart transitions.","project_url":"https://www.espon.eu/covid-19","type":"Project Package","publication_date":null,"archive":[{"name":"project_covid-19-territorial-impacts-of-covid-19-and-policy-answers-in-europ_8k8p9VN.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/2955/project_covid-19-territorial-impacts-of-covid-19-and-policy-answers-in-europ_8k8p9VN.zip","file_size":"43.8 MB"}],"status":"Published"},{"id":2911,"name":"IRIE - Interregional relations in Europe","abstract":"# ESPON project package: 'IRIE - Interregional relations in Europe'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: IRIE - Interregional relations in Europe\r\n- Url: https://www.espon.eu/programme/projects/espon-2020/applied-research/interregional-relations-europe\r\n- Id: 70\r\n- Update: July 6, 2022, 10:56 a.m.\r\n\r\n\r\n### Abstract\r\n\r\n\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_2431_freig_16_csv_wqLchNx.zip: Road freight regional typologies (FREIG_16)\r\n- main-data/ind_2435_freig_12_csv_U9Vouav.zip: Road freight regional interregional balance (FREIG_12)\r\n- main-data/ind_2436_freig_13_csv_NasPPKl.zip: Road freight regional network selectivity (FREIG_13)\r\n- main-data/ind_2437_freig_14_csv_pvOoeCB.zip: Road freight regional external Influence (FREIG_14)\r\n- main-data/ind_2438_freig_15_csv_zBv4ulA.zip: Road freight regional send-receive balance (FREIG_15)\r\n- main-data/ind_2442_migra_03_csv_j3aUlPv.zip: Migration regional weighted intensity (MIGRA_03)\r\n- main-data/ind_2443_migra_04_csv_LivWZmC.zip: Migration regional balance (MIGRA_04)\r\n- main-data/ind_2444_migra_05_csv_r6hrogI.zip: Migration regional concentration per area (MIGRA_05)\r\n- main-data/ind_2445_migra_06_csv_riqHq5S.zip: Migration regional concentration per area (inflow vs outflow) (MIGRA_06)\r\n- main-data/ind_2446_migra_07_csv_pStZ9j2.zip: Migration regional average distance (MIGRA_07)\r\n- main-data/ind_2447_migra_08_csv_GZh1xMO.zip: Migration regional average distance (inflow vs outflow) (MIGRA_08)\r\n- main-data/ind_2448_touri_03_csv_NcqJIDa.zip: Tourism regional weighted intensity (TOURI_03)\r\n- main-data/ind_2449_touri_04_csv_XpFdOYz.zip: Tourism regional balance (TOURI_04)\r\n- main-data/ind_2450_touri_05_csv_A14K4bk.zip: Tourism regional concentration per area (TOURI_05)\r\n- main-data/ind_2451_touri_06_csv_YSmIAuD.zip: Tourism regional concentration per area (inflow vs outflow) (TOURI_06)\r\n- main-data/ind_2452_touri_07_csv_yb9IEWd.zip: Tourism regional average distance (TOURI_07)\r\n- main-data/ind_2453_touri_08_csv_oXIad72.zip: Tourism regional average distance (inflow vs outflow) (TOURI_08)\r\n- main-data/ind_2468_passr_13_csv_mqkmDvp.zip: Rail passenger regional typologies (PASSR_13)\r\n- main-data/ind_2469_passr_20_csv_ZJsEurj.zip: Maritime passenger regional typologies (PASSR_20)\r\n- main-data/ind_2470_passr_27_csv_pDhujE8.zip: Air passenger regional typologies (PASSR_27)\r\n- main-data/ind_2471_passr_07_csv_rPoPcAO.zip: Rail passenger regional connectivity (PASSR_07)\r\n- main-data/ind_2472_passr_08_csv_tVD5BYM.zip: Rail passenger regional intensity (PASSR_08)\r\n- main-data/ind_2473_passr_09_csv_qOZBexj.zip: Rail passenger regional weighted intensity (PASSR_09)\r\n- main-data/ind_2474_passr_10_csv_O2Ru7GX.zip: Rail passenger regional interregional balance (PASSR_10)\r\n- main-data/ind_2475_passr_11_csv_gtXgaCJ.zip: Rail passenger regional network selectivity (PASSR_11)\r\n- main-data/ind_2476_passr_12_csv_AYKMhLZ.zip: Rail passenger regional external Influence (PASSR_12)\r\n- main-data/ind_2477_passr_14_csv_5QMvpVd.zip: Maritime passenger regional connectivity (PASSR_14)\r\n- main-data/ind_2478_passr_15_csv_oESOcP6.zip: Maritime passenger regional intensity (PASSR_15)\r\n- main-data/ind_2479_passr_16_csv_s2sO5zb.zip: Maritime passenger regional weighted intensity (PASSR_16)\r\n- main-data/ind_2480_passr_17_csv_VLwAhcg.zip: Maritime passenger regional interregional balance (PASSR_17)\r\n- main-data/ind_2481_passr_18_csv_ldotAYz.zip: Maritime passenger regional network selectivity (PASSR_18)\r\n- main-data/ind_2482_passr_19_csv_mJPh3HF.zip: Maritime passenger regional external Influence (PASSR_19)\r\n- main-data/ind_2483_passr_21_csv_SAwPgeP.zip: Air passenger regional connectivity (PASSR_21)\r\n- main-data/ind_2484_passr_22_csv_G0BggFT.zip: Air passenger regional intensity (PASSR_22)\r\n- main-data/ind_2485_passr_23_csv_uOc06KT.zip: Air passenger regional weighted intensity (PASSR_23)\r\n- main-data/ind_2486_passr_24_csv_85nHuPU.zip: Air passenger regional interregional balance (PASSR_24)\r\n- main-data/ind_2487_passr_25_csv_TNJI0hU.zip: Air passenger regional network selectivity (PASSR_25)\r\n- main-data/ind_2488_passr_26_csv_gh5e4bx.zip: Air passenger regional external Influence (PASSR_26)\r\n- main-data/ind_2490_fdi_04_csv_CXZdXQa.zip: FDI regional typologies (outgoing) (FDI_04)\r\n- main-data/ind_2489_fdi_03_csv_u2MSwMS.zip: FDI regional typologies (incoming) (FDI_03)\r\n- main-data/ind_2491_fdi_05_csv_SxfYjuN.zip: FDI regional connectivity (incoming) (FDI_05)\r\n- main-data/ind_2492_fdi_06_csv_hjpe1Mx.zip: FDI regional intensity (incoming) (FDI_06)\r\n- main-data/ind_2493_fdi_07_csv_AXsthkT.zip: FDI regional weighted intensity (incoming) (FDI_07)\r\n- main-data/ind_2494_fdi_08_csv_wEKEvld.zip: FDI regional interregional balance (incoming) (FDI_08)\r\n- main-data/ind_2495_fdi_09_csv_QSOtsjU.zip: FDI regional network selectivity (incoming) (FDI_09)\r\n- main-data/ind_2496_fdi_10_csv_mGsib6W.zip: FDI regional external Influence (incoming) (FDI_10)\r\n- main-data/ind_2497_fdi_11_csv_EDsZefD.zip: FDI regional send-receive balance (incoming) (FDI_11)\r\n- main-data/ind_2498_fdi_12_csv_EH8xavn.zip: FDI regional connectivity (outgoing) (FDI_12)\r\n- main-data/ind_2499_fdi_13_csv_qDwdXQg.zip: FDI regional intensity (outgoing) (FDI_13)\r\n- main-data/ind_2500_fdi_14_csv_UqoLYn4.zip: FDI regional weighted intensity (outgoing) (FDI_14)\r\n- main-data/ind_2501_fdi_15_csv_t4EBR2E.zip: FDI regional interregional balance (outgoing) (FDI_15)\r\n- main-data/ind_2502_fdi_16_csv_ddn5hma.zip: FDI regional network selectivity (outgoing) (FDI_16)\r\n- main-data/ind_2503_fdi_17_csv_VEbAJue.zip: FDI regional external Influence (outgoing) (FDI_17)\r\n- main-data/ind_2504_fdi_18_csv_pBXJS7H.zip: FDI regional send-receive balance (outgoing) (FDI_18)\r\n- main-data/ind_2505_remit_03_csv_2C4zTDe.zip: Remittances regional typologies (inflows) (REMIT_03)\r\n- main-data/ind_2506_remit_04_csv_A5x9HWz.zip: Remittances regional typologies (outflows) (REMIT_04)\r\n- main-data/ind_2507_remit_05_csv_Lwc7O1x.zip: Remittances regional connectivity (incoming) (REMIT_05)\r\n- main-data/ind_2508_remit_06_csv_AV0DIKi.zip: Remittances regional intensity (incoming) (REMIT_06)\r\n- main-data/ind_2509_remit_07_csv_kYYM2GR.zip: Remittances regional weighted intensity (incoming) (REMIT_07)\r\n- main-data/ind_2510_remit_08_csv_pdViKsc.zip: Remittances regional interregional balance (incoming) (REMIT_08)\r\n- main-data/ind_2511_remit_09_csv_fTLVGoW.zip: Remittances regional network selectivity (incoming) (REMIT_09)\r\n- main-data/ind_2512_remit_10_csv_9bdJ9QQ.zip: Remittances regional external Influence (incoming) (REMIT_10)\r\n- main-data/ind_2513_remit_11_csv_pe50u1m.zip: Remittances regional send-receive balance (incoming) (REMIT_11)\r\n- main-data/ind_2514_remit_12_csv_wnI5YkC.zip: Remittances regional connectivity (outgoing) (REMIT_12)\r\n- main-data/ind_2515_remit_13_csv_kXpaD97.zip: Remittances regional intensity (outgoing) (REMIT_13)\r\n- main-data/ind_2516_remit_14_csv_a24GS5Q.zip: Remittances regional weighted intensity (outgoing) (REMIT_14)\r\n- main-data/ind_2517_remit_15_csv_wag0gI1.zip: Remittances regional interregional balance (outgoing) (REMIT_15)\r\n- main-data/ind_2518_remit_16_csv_YSa7JTt.zip: Remittances regional network selectivity (outgoing) (REMIT_16)\r\n- main-data/ind_2519_remit_17_csv_lfqEq57.zip: Remittances regional external Influence (outgoing) (REMIT_17)\r\n- main-data/ind_2520_remit_18_csv_bqfcy9n.zip: Remittances regional send-receive balance (outgoing) (REMIT_18)\r\n- main-data/ind_2522_erasm_03_csv_K5nIFF8.zip: Erasmus regional connectivity (inflows) (ERASM_03)\r\n- main-data/ind_2523_erasm_04_csv_2rdDZ4f.zip: Erasmus regional intensity (inflows) (ERASM_04)\r\n- main-data/ind_2524_erasm_05_csv_KcDKOH8.zip: Erasmus regional weighted intensity (inflows) (ERASM_05)\r\n- main-data/ind_2525_erasm_06_csv_elxu6QP.zip: Erasmus regional interregional balance (inflows) (ERASM_06)\r\n- main-data/ind_2526_erasm_07_csv_wNv4T2C.zip: Erasmus regional network selectivity (inflows) (ERASM_07)\r\n- main-data/ind_2527_erasm_08_csv_bRbhNPA.zip: Erasmus regional external Influence (inflows) (ERASM_08)\r\n- main-data/ind_2528_erasm_09_csv_7PN0LzF.zip: Erasmus regional send-receive balance (ERASM_09)\r\n- main-data/ind_2530_erasm_10_csv_6cOYOXL.zip: Erasmus regional connectivity (outflows) (ERASM_10)\r\n- main-data/ind_2531_erasm_11_csv_QolTt09.zip: Erasmus regional intensity (outflows) (ERASM_11)\r\n- main-data/ind_2532_erasm_12_csv_8qU5Xh9.zip: Erasmus regional weighted intensity (outflows) (ERASM_12)\r\n- main-data/ind_2533_erasm_13_csv_N6bBPlT.zip: Erasmus regional interregional balance (outflows) (ERASM_13)\r\n- main-data/ind_2534_erasm_14_csv_w2kNTFH.zip: Erasmus regional network selectivity (outlows) (ERASM_14)\r\n- main-data/ind_2535_erasm_15_csv_N59JbVZ.zip: Erasmus regional external Influence (outflows) (ERASM_15)\r\n- main-data/ind_2521_erasm_16_csv_21QyyYW.zip: Erasmus regional typologies (ERASM_16)\r\n- main-data/ind_2538_h2020_05_csv.zip: H2020 regional connectivity (inflows) (H2020_05)\r\n- main-data/ind_2605_paneu_28_csv.zip: Goods, services and capital Weighted Intensity and Balance (PanEU_28)\r\n- main-data/ind_2606_paneu_29_csv.zip: People Weighted Intensity and Balance (PanEU_29)\r\n- main-data/ind_2607_paneu_30_csv.zip: Knowledge Weighted Intensity and Balance (PanEU_30)\r\n- main-data/ind_2608_paneu_31_csv.zip: All flows Weighted Intensity and Balance (PanEU_31)\r\n- main-data/ind_2609_paneu_32_csv.zip: Goods, services and capital Weighted Intensity and Concentration (PanEU_32)\r\n- main-data/ind_2610_paneu_33_csv.zip: People Weighted Intensity and Concentration (PanEU_33)\r\n- main-data/ind_2611_paneu_34_csv.zip: Knowledge Weighted Intensity and Concentration (PanEU_34)\r\n- main-data/ind_2612_paneu_35_csv.zip: All flows Weighted Intensity and Concentration (PanEU_35)\r\n- main-data/ind_2613_paneu_36_csv.zip: Goods, services and capital Weighted Intensity and Distance (PanEU_36)\r\n- main-data/ind_2614_paneu_37_csv.zip: People Weighted Intensity and Distance (PanEU_37)\r\n- main-data/ind_2615_paneu_38_csv.zip: Knowledge Weighted Intensity and Distance (PanEU_38)\r\n- main-data/ind_2616_paneu_39_csv.zip: All flows Weighted Intensity and Distance (PanEU_39)\r\n- main-data/ind_2617_paneu_40_csv.zip: Dominant flow (PanEU_40)\r\n- main-data/ind_2620_paneu_43_csv.zip: Dominant flow and coefficient of variation (PanEU_43)\r\n- main-data/ind_2644_freig_37_csv_xYIVJhB.zip: Air freight regional network selectivity (FREIG_37)\r\n- main-data/ind_2645_freig_38_csv_9ZEKIBL.zip: Air freight regional external Influence (FREIG_38)\r\n- main-data/ind_2646_freig_39_csv_KxtX653.zip: Air freight regional send-receive balance (FREIG_39)\r\n- main-data/ind_2458_labou_06_csv_2GwVzgv.zip: Labour regional interregional balance (inflows) (LABOU_06)\r\n- main-data/ind_2643_freig_36_csv_DiVGtKq.zip: Air freight regional interregional balance (FREIG_36)\r\n- main-data/ind_2462_labou_10_csv_3sdQKJG.zip: Labour regional connectivity (outflows) (LABOU_10)\r\n- main-data/ind_2464_labou_12_csv_ke07Ojc.zip: Labour regional weighted intensity (outflows) (LABOU_12)\r\n- main-data/ind_2461_labou_09_csv_ObujAbK.zip: Labour regional send-receive balance (LABOU_09)\r\n- main-data/ind_2455_labou_03_csv_tptAGON.zip: Labour regional connectivity (inflows) (LABOU_03)\r\n- main-data/ind_2565_paten_04_csv_f1ISCX2.zip: Patents regional connectivity (outflows) (PATEN_04)\r\n- main-data/ind_2566_paten_05_csv_7hRqFl8.zip: Patents regional intensity (outflows) (PATEN_05)\r\n- main-data/ind_2567_paten_06_csv_dL9K1y2.zip: Patents regional weighted intensity (outflows) (PATEN_06)\r\n- main-data/ind_2568_paten_07_csv_KMPpVFq.zip: Patents regional interregional balance (outflows) (PATEN_07)\r\n- main-data/ind_2569_paten_08_csv_9tZW8Tz.zip: Patents regional network selectivity (outflows) (PATEN_08)\r\n- main-data/ind_2570_paten_09_csv_YDLSbfb.zip: Patents regional external Influence (outflows) (PATEN_09)\r\n- main-data/ind_2574_servi_03_csv_JBSoIIx.zip: Trade of services regional connectivity (SERVI_03)\r\n- main-data/ind_2409_goods_05_csv_BLwHc4D.zip: Trade of goods regional weighted intensity (GOODS_05)\r\n- main-data/ind_2410_goods_06_csv_3Zk5Uv5.zip: Trade of goods regional interregional balance (GOODS_06)\r\n- main-data/ind_2411_goods_07_csv_oFnvPUE.zip: Trade of goods regional network selectivity (GOODS_07)\r\n- main-data/ind_2412_goods_08_csv_G0C9UxK.zip: Trade of goods regional external Influence (GOODS_08)\r\n- main-data/ind_2413_goods_09_csv_K5v9E8o.zip: Trade of goods regional send-receive balance (GOODS_09)\r\n- main-data/ind_2564_paten_03_csv_jNJs78s.zip: Patents regional typologies (PATEN_03)\r\n- main-data/ind_2575_servi_04_csv_vmL5kAD.zip: Trade of services regional intensity (SERVI_04)\r\n- main-data/ind_2576_servi_05_csv_VvCrtnd.zip: Trade of services regional weighted intensity (SERVI_05)\r\n- main-data/ind_2577_servi_06_csv_wcAM06S.zip: Trade of services regional interregional balance (SERVI_06)\r\n- main-data/ind_2579_servi_08_csv_gDF4E72.zip: Trade of services regional external Influence (SERVI_08)\r\n- main-data/ind_2580_servi_09_csv_2UfJiuU.zip: Trade of services regional send-receive balance (SERVI_09)\r\n- main-data/ind_2460_labou_08_csv_KnqkvMe.zip: Labour regional external Influence (inflows) (LABOU_08)\r\n- main-data/ind_2408_goods_04_csv_PDe8P4N.zip: Trade of goods regional intensity (GOODS_04)\r\n- main-data/ind_2624_freig_18_csv_3zxA3XV.zip: Rail freight regional intensity (FREIG_18)\r\n- main-data/ind_2625_freig_19_csv_FhSt57n.zip: Rail freight regional weighted intensity (FREIG_19)\r\n- main-data/ind_2626_freig_20_csv_Qn3csLS.zip: Rail freight regional interregional balance (FREIG_20)\r\n- main-data/ind_2627_freig_21_csv_3mxownh.zip: Rail freight regional network selectivity (FREIG_21)\r\n- main-data/ind_2628_freig_22_csv_UpSrI24.zip: Rail freight regional external Influence (FREIG_22)\r\n- main-data/ind_2629_freig_23_csv_q5z8OOW.zip: Rail freight regional send-receive balance (FREIG_23)\r\n- main-data/ind_2631_freig_32_csv_uuZyfTa.zip: Maritime freight regional typologies (FREIG_32)\r\n- main-data/ind_2630_freig_24_csv_vavXY1P.zip: Rail freight regional typologies (FREIG_24)\r\n- main-data/ind_2633_freig_26_csv_AOF6sOI.zip: Maritime freight regional intensity (FREIG_26)\r\n- main-data/ind_2634_freig_27_csv_PB5w0Nq.zip: Maritime freight regional weighted intensity (FREIG_27)\r\n- main-data/ind_2635_freig_28_csv_oslb8jt.zip: Maritime freight regional interregional balance (FREIG_28)\r\n- main-data/ind_2636_freig_29_csv_UNEr7Ur.zip: Maritime freight regional network selectivity (FREIG_29)\r\n- main-data/ind_2637_freig_30_csv_Mti6VLR.zip: Maritime freight regional external Influence (FREIG_30)\r\n- main-data/ind_2638_freig_31_csv_t8SyuUr.zip: Maritime freight regional send-receive balance (FREIG_31)\r\n- main-data/ind_2585_paneu_08_csv.zip: All flows Weighted intensity  Index (PanEU_08)\r\n- main-data/ind_2539_h2020_06_csv.zip: H2020 regional intensity (inflows) (H2020_06)\r\n- main-data/ind_2540_h2020_07_csv.zip: H2020 regional weighted intensity (inflows) (H2020_07)\r\n- main-data/ind_2541_h2020_08_csv.zip: H2020 regional interregional balance (inflows) (H2020_08)\r\n- main-data/ind_2543_h2020_10_csv.zip: H2020 regional external Influence (inflows) (H2020_10)\r\n- main-data/ind_2545_h2020_12_csv.zip: H2020 regional connectivity (outflows) (H2020_12)\r\n- main-data/ind_2544_h2020_11_csv.zip: H2020 regional send-receive balance (H2020_11)\r\n- main-data/ind_2546_h2020_13_csv.zip: H2020 regional intensity (outflows) (H2020_13)\r\n- main-data/ind_2547_h2020_14_csv.zip: H2020 regional weighted intensity (outflows) (H2020_14)\r\n- main-data/ind_2548_h2020_15_csv.zip: H2020 regional interregional balance (outflows) (H2020_15)\r\n- main-data/ind_2549_h2020_16_csv.zip: H2020 regional network selectivity (outflows) (H2020_16)\r\n- main-data/ind_2550_h2020_17_csv.zip: H2020 regional external Influence (outflows) (H2020_17)\r\n- main-data/ind_2536_h2020_03_csv.zip: H2020 regional typologies (H2020_03)\r\n- main-data/ind_2623_freig_17_csv_J9fKX8M.zip: Rail freight regional connectivity (FREIG_17)\r\n- main-data/ind_2632_freig_25_csv_s3McGkx.zip: Maritime freight regional connectivity (FREIG_25)\r\n- main-data/ind_2591_paneu_14_csv.zip: People Concentration  Index (PanEU_14)\r\n- main-data/ind_2584_paneu_07_csv.zip: Knowledge Weighted intensity  Index (PanEU_07)\r\n- main-data/ind_2592_paneu_15_csv.zip: Knowledge Concentration  Index (PanEU_15)\r\n- main-data/ind_2589_paneu_12_csv.zip: All flows Balance Index (PanEU_12)\r\n- main-data/ind_2583_paneu_06_csv.zip: People Weighted intensity  Index (PanEU_06)\r\n- main-data/ind_2586_paneu_09_csv.zip: Goods, services and capital Balance Index (PanEU_09)\r\n- main-data/ind_2590_paneu_13_csv.zip: Goods, services and capital Concentration Index (PanEU_13)\r\n- main-data/ind_2582_paneu_05_csv.zip: Goods, services and capital Weighted intensity  Index (PanEU_05)\r\n- main-data/ind_2596_paneu_19_csv.zip: Knowledge UK Dependency  Index (PanEU_19)\r\n- main-data/ind_2600_paneu_23_csv.zip: Knowledge Average Distance  Index (PanEU_23)\r\n- main-data/ind_2588_paneu_11_csv.zip: Knowledge Balance  Index (PanEU_11)\r\n- main-data/ind_2594_paneu_17_csv.zip: Goods, services and capital UK Dependency Index (PanEU_17)\r\n- main-data/ind_2597_paneu_20_csv.zip: All flows UK Dependency Index (PanEU_20)\r\n- main-data/ind_2598_paneu_21_csv.zip: Goods, services and capital Average Distance Index (PanEU_21)\r\n- main-data/ind_2587_paneu_10_csv.zip: People Balance  Index (PanEU_10)\r\n- main-data/ind_2593_paneu_16_csv.zip: All flows Concentration Index (PanEU_16)\r\n- main-data/ind_2595_paneu_18_csv.zip: People UK Dependency  Index (PanEU_18)\r\n- main-data/ind_2599_paneu_22_csv.zip: People Average Distance  Index (PanEU_22)\r\n- main-data/ind_2601_paneu_24_csv.zip: All flows Average Distance Index (PanEU_24)\r\n- main-data/ind_2618_paneu_41_csv.zip: Concentration of flow dependencies (coefficient of variation) (PanEU_41)\r\n- main-data/ind_2619_paneu_42_csv.zip: Concentration of flow dependencies (Gini Index) (PanEU_42)\r\n- main-data/ind_2621_paneu_44_csv.zip: Multiflow cluster (weighted intensity) (PanEU_44)\r\n- main-data/ind_2622_paneu_45_csv.zip: Multiflow cluster (balance) (PanEU_45)\r\n- main-data/ind_2467_labou_15_csv_Ri8hP2c.zip: Labour regional external Influence (outflows) (LABOU_15)\r\n- main-data/ind_2642_freig_35_csv_xI0P6zM.zip: Air freight regional weighted intensity (FREIG_35)\r\n- main-data/ind_2639_freig_40_csv_Fr9f7Da.zip: Air freight regional typologies (FREIG_40)\r\n- main-data/ind_2465_labou_13_csv_1CvBiSx.zip: Labour regional interregional balance (outflows) (LABOU_13)\r\n- main-data/ind_2573_servi_10_csv_PDHTHqi.zip: Trade of services regional typologies (SERVI_10)\r\n- main-data/ind_2542_h2020_09_csv.zip: H2020 regional network selectivity (inflows) (H2020_09)\r\n- main-data/ind_2432_freig_09_csv_LvcCsJq.zip: Road freight regional connectivity (FREIG_09)\r\n- main-data/ind_2433_freig_10_csv_MhWVCYi.zip: Road freight regional intensity (FREIG_10)\r\n- main-data/ind_2434_freig_11_csv_YygTOZX.zip: Road freight regional weighted intensity (FREIG_11)\r\n- main-data/ind_2441_touri_10_csv_FYZehGp.zip: Tourism regional typologies - Intensity vs Balance (TOURI_10)\r\n- main-data/ind_2829_touri_11_csv_LnMuoJR.zip: Tourism regional typologies - Intensity vs Concentration (TOURI_11)\r\n- main-data/ind_2830_touri_12_csv_RE8u7hY.zip: Tourism regional typologies - Intensity vs Distance (TOURI_12)\r\n- main-data/ind_2439_migra_10_csv_CiLek4V.zip: Migration regional typologies - Intensity vs Balance (MIGRA_10)\r\n- main-data/ind_2831_migra_11_csv_l0ABs2r.zip: Migration regional typologies - Intensity vs Concentration (MIGRA_11)\r\n- main-data/ind_2832_migra_12_csv_f5bGbnu.zip: Migration regional typologies - Intensity vs Distance (MIGRA_12)\r\n- main-data/ind_2841_paneu_46_csv.zip: Goods Trade Border effect (PanEU_46)\r\n- main-data/ind_2842_paneu_47_csv.zip: Goods Freight Border effect (PanEU_47)\r\n- main-data/ind_2843_paneu_48_csv.zip: Services Border effect (PanEU_48)\r\n- main-data/ind_2401_goods_03_csv_8XPH886.zip: Trade of goods regional connectivity (GOODS_03)\r\n- main-data/ind_2463_labou_11_csv_jAmrUaR.zip: Labour regional intensity (outflows) (LABOU_11)\r\n- main-data/ind_2456_labou_04_csv_owTw86i.zip: Labour regional intensity (inflows) (LABOU_04)\r\n- main-data/ind_2457_labou_05_csv_u4zthMe.zip: Labour regional weighted intensity (inflows) (LABOU_05)\r\n- main-data/ind_2459_labou_07_csv_1kgVHBR.zip: Labour regional network selectivity (inflows) (LABOU_07)\r\n- main-data/ind_2844_paneu_49_csv.zip: Capital FDI Border effect (PanEU_49)\r\n- main-data/ind_2845_paneu_50_csv.zip: Air Passengers Border effect (PanEU_50)\r\n- main-data/ind_2846_paneu_51_csv.zip: Migration Border effect (PanEU_51)\r\n- main-data/ind_2847_paneu_52_csv.zip: Labour Mobility Border effect (PanEU_52)\r\n- main-data/ind_2848_paneu_53_csv.zip: Tourism Border effect (PanEU_53)\r\n- main-data/ind_2849_paneu_54_csv.zip: H2020 Border effect (PanEU_54)\r\n- main-data/ind_2850_paneu_55_csv.zip: Patents Border effect (PanEU_55)\r\n- main-data/ind_2641_freig_34_csv_9uYqLCu.zip: Air freight regional intensity (FREIG_34)\r\n- main-data/ind_2640_freig_33_csv_XIApRT5.zip: Air freight regional connectivity (FREIG_33)\r\n- main-data/ind_2402_goods_10_csv_t7D2NyL.zip: Trade of goods regional typologies (GOODS_10)\r\n- main-data/ind_2571_paten_10_csv_JFZltEn.zip: Patents regional send-receive balance (outflows) (PATEN_10)\r\n- main-data/ind_2578_servi_07_csv_CxpFui5.zip: Trade of services regional network selectivity (SERVI_07)\r\n- main-data/ind_2466_labou_14_csv_RXM1suE.zip: Labour regional network selectivity (outflows) (LABOU_14)\r\n- main-data/ind_2454_labou_16_csv_Rkc6rpE.zip: Labour regional typologies (LABOU_16)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- Capital Remittances - Region to Region Origin and Destination matrix\r\n  - other-data/tblRemittances_R2R_ZMXFHeB.xlsx: Capital Remittances - Region to Region Origin and Destination matrix\r\n- Scenario - BREXIT impacts\r\n  - other-data/tblScenarios_Brexit_CIcJjmW.xlsx: Scenario - BREXIT impacts\r\n- Freight of Goods by transport mode - Region to Region Origin and Destination matrix\r\n  - other-data/tblFreight_R2R_lITG8iv.xlsx: Freight of Goods by transport mode - Region to Region Origin and Destination matrix\r\n- People Tourism - Region to Region Origin and Destination matrix\r\n  - other-data/tblTourism_R2R_7p3071R.xlsx: People Tourism - Region to Region Origin and Destination matrix\r\n- People Passengers by transport mode - Region to Region Origin and Destination matrix\r\n  - other-data/tblPassengers_R2R_7B1VBJc.xlsx: People Passengers by transport mode - Region to Region Origin and Destination matrix\r\n- Knowledge Erasmus students - Region to Region Origin and Destination matrix\r\n  - other-data/tblErasmus_R2R_7RvA6uZ.xlsx: Knowledge Erasmus students - Region to Region Origin and Destination matrix\r\n- Case Study - Cross-border migrations across the outer boundary of the EU (1994 - 2020)\r\n  - other-data/tbl_CSMigration1_HqXTkMc.xlsx: Case Study Cross-border migrations: Number of foreigners for pension and disability insurance\r\n  - other-data/tbl_CSMigration2.xlsx: Case Study Cross-border migrations: Foreigners working on the Polish labour market in 2020\r\n  - other-data/tbl_CSMigration3.xlsx: Case Study Cross-border migrations: Number of crossings of the Polish-Ukrainian & Belarusian border\r\n  - other-data/tbl_CSMigration4.xlsx: Case Study Cross-border migrations: Border crossings 2019-2021\r\n- People Migration - Country to Country Origin and Destination matrix\r\n  - other-data/tblMigration_C2C_Lx1XGEh.xlsx: People Migration - Country to Country Origin and Destination matrix\r\n- Scenario - Aggression in Ukraine impacts: migration\r\n  - other-data/tblScenarios_UkraineMigration_np6yso5.xlsx: Scenario - Aggression in Ukraine impacts: migration\r\n- Capital FDI - Country to Country Origin and Destination matrix\r\n  - other-data/tblFDI_C2C_MLzbGuC.xlsx: Capital FDI - Country to Country Origin and Destination matrix\r\n- Knowledge H2020 - Country to Country Origin and Destination matrix\r\n  - other-data/tblH2020_C2C_DJXnrPD.xlsx: Knowledge H2020 - Country to Country Origin and Destination matrix\r\n- Capital FDI - Region to Region Origin and Destination matrix\r\n  - other-data/tblFDI_R2R_iP66jI8.xlsx: Capital FDI - Region to Region Origin and Destination matrix\r\n- People Migration - Region to Region Origin and Destination matrix\r\n  - other-data/tblMigration_R2R_HSRc3Z3.xlsx: People Migration - Region to Region Origin and Destination matrix\r\n- Knowledge H2020 - Region to Region Origin and Destination matrix\r\n  - other-data/tblH2020_R2R_GtW6iCK.xlsx: Knowledge H2020 - Region to Region Origin and Destination matrix\r\n- EUREGIO-2017 ESPON Input-Output table\r\n  - other-data/tbl_Readme_EUREGIO_2017_metadata.xlsx: Input-Output table EUREGIO-2017_METADATA\r\n- Case study - COVID-19 impacts on air transport flows between European regions\r\n  - other-data/tbl_CSCovid5_46r9kcu.xlsx: Case study - COVID-19: International travel controls\r\n  - other-data/tbl_CSCovid6_PIeCN6f.xlsx: Case study - COVID-19: Restrictions internal movements\r\n  - other-data/tbl_CSCovid7_Jt0Uj5s.xlsx: Case study - COVID-19: entry restrictions\r\n  - other-data/tbl_CSCovid4_BNq4W0Q.xlsx: Case study - COVID-19: weekly cases per million people\r\n  - other-data/tbl_CSCovid3_8L8c6VR.xlsx: Case study - COVID-19: air freight country to country monthly\r\n  - other-data/tbl_CSCovid1_tlScU9C.xlsx: Case study - COVID-19: air passengers region to region monthly\r\n  - other-data/tbl_CSCovid2_zsBpQUX.xlsx: Case study - COVID-19: air passengers country to country monthly\r\n- Capital Remittances - Country to Country Origin and Destination matrix\r\n  - other-data/tblRemittances_C2C_nnOieL1.xlsx: Capital Remittances - Country to Country Origin and Destination matrix\r\n- Knowledge Erasmus students - Country to Country Origin and Destination matrix\r\n  - other-data/tblErasmus_C2C_ZW8Cfsr.xlsx: Knowledge Erasmus students - Country to Country Origin and Destination matrix\r\n- People Tourism - Country to Country Origin and Destination matrix\r\n  - other-data/tblTourism_C2C_bK8rWC2.xlsx: People Tourism - Country to Country Origin and Destination matrix\r\n- Freight of Goods by transport mode - Country to Country Origin and Destination matrix\r\n  - other-data/tblFreight_C2C_9A6gXf8.xlsx: Freight of Goods by transport mode - Country to Country Origin and Destination matrix\r\n- Pan-European analysis - Super League Intensity Index (size dimension)\r\n  - other-data/tbl_Paneuropean_Superleague_R2R.xlsx: Pan-European analysis - Super League Intensity Index (size dimension)\r\n- NUTS0-NUTS0 and NUTS2-NUTS2 interconnections\r\n  - other-data/fcRoutesNUTS0.zip: shapefile_NUTS0-NUTS0 interconnections\r\n  - other-data/fcRoutesNUTS2.zip: shapefile_NUTS2-NUTS2 interconnections\r\n  - other-data/tblNUTS0.xlsx: metadata_NUTS0-NUTS0 interconnections\r\n  - other-data/tblNUTS2.xlsx: metadata_NUTS2-NUTS2 interconnections\r\n- People Passengers by transport mode - Country to Country Origin and Destination matrix\r\n  - other-data/tblPassengers_C2C_hu9NV1L.xlsx: People Passengers by transport mode - Country to Country Origin and Destination matrix\r\n\r\n","project":"IRIE - Interregional relations in Europe","project_abstract":"","project_url":"https://www.espon.eu/programme/projects/espon-2020/applied-research/interregional-relations-europe","type":"Project Package","publication_date":null,"archive":[{"name":"project_irie-interregional-relations-in-europe.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/2911/project_irie-interregional-relations-in-europe.zip","file_size":"141.9 MB"}],"status":"Published"},{"id":2347,"name":"STISE - Sustainable Transport Infrastructure in the Strategic urban region Eurodelta","abstract":"# ESPON project package: 'STISE - Sustainable Transport Infrastructure in the Strategic urban region Eurodelta'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: STISE - Sustainable Transport Infrastructure in the Strategic urban region Eurodelta\r\n- Url: https://www.espon.eu/sustainable-transport\r\n- Id: 67\r\n- Update: Feb. 2, 2022, 10:58 a.m.\r\n\r\n\r\n### Abstract\r\n\r\n\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\nNone\r\n\r\n\r\n## Other Data\r\n\r\n- Impacts on Networks\r\n  - other-data/NUTS_zoning_used_in_the_model.zip: NUTS zoning used in the model\r\n  - other-data/NUTS_zones_SURE_area.zip: NUTS zones SURE area\r\n  - other-data/Road_network.zip: Road network\r\n  - other-data/Transport_growth_on_the_road_network.zip: Transport growth on the road network\r\n  - other-data/Goods_transported_on_the_railway_network.zip: Goods transported on the railway network\r\n  - other-data/Percentage_of_commuters_on_the_railway_network.zip: Percentage of commuters on the railway network\r\n  - other-data/Tonnes_transport_on_Inland_Waterways.zip: Tonnes transport on Inland Waterways\r\n- Emission indicators used to calculate the emissions from transport flows\r\n  - other-data/STISE_data_delivery_211210_Emission_data_final.xlsx: Emission data\r\n- Transport modelisation output (origin-destination matrices) on transport flows within the SURE Eurodelta area and the world\r\n  - other-data/STISE_data_delivery_211210_Inland_Waterway_TonKM_final.xlsx: Cargo OD Matrix Inland Waterways\r\n  - other-data/STISE_data_delivery_211210_Rail_TonKM_final.xlsx: Cargo OD Matrix Rail\r\n  - other-data/STISE_data_delivery_211210_Road_TonKM_final.xlsx: Cargo OD Matrix Road\r\n  - other-data/STISE_data_delivery_211210_Air_PaxKM_final.xlsx: Passengers OD Matrix Air\r\n  - other-data/STISE_data_delivery_211210_Road_PaxKM_final.xlsx: Passengers OD Matrix Road\r\n  - other-data/STISE_data_delivery_211210_Rail_PaxKM_final.xlsx: Passengers OD Matrix Rail\r\n\r\n","project":"STISE - Sustainable Transport Infrastructure in the Strategic urban region Eurodelta","project_abstract":"","project_url":"https://www.espon.eu/sustainable-transport","type":"Project Package","publication_date":null,"archive":[{"name":"project_stise-sustainable-transport-infrastructure-in-the-strategic-urban-re_b4vu6gP.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/2347/project_stise-sustainable-transport-infrastructure-in-the-strategic-urban-re_b4vu6gP.zip","file_size":"117.7 MB"}],"status":"Published"},{"id":2343,"name":"Territorial indicators based on big data","abstract":"# ESPON project package: 'Territorial indicators based on big data'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: Territorial indicators based on big data\r\n- Url: https://www.espon.eu/BigDataIndicators\r\n- Id: 66\r\n- Update: Nov. 29, 2021, 3:25 p.m.\r\n\r\n\r\n### Abstract\r\n\r\nThe key objectives of this project are to provide a qualified list of private platforms which can provide comparable data for a European wide territorial analysis and to work towards a framework of cooper-ation that would allow for lasting data extraction possibilities. In this context, a demonstrator study was set up to present exemplary possibilities of how Big Data can be utilized for territorial analysis. Examples are provided based on data extracted from LinkedIn and Twitter.\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\nNone\r\n\r\n\r\n## Other Data\r\n\r\n- Covid pandemic related tweets based on twitter data ("Covid")\r\n  - other-data/DB2020_OtherData_Twitter_L9NSYoE.xls: Number of tweets on the topic covid\r\n- Covid pandemic related tweets based on twitter data ("vaccine")\r\n  - other-data/DB2020_OtherData_Twitter_vaccines_0IWXjRC.xls: Number of tweets on types of vaccine\r\n- Workforce in innovation sector based on LinkedIn data\r\n  - other-data/DB2020_OtherData_LinkedIn_NG2gzVG.xls: Workers with skills in certain innovation sectors in selected regions\r\n\r\n","project":"Territorial indicators based on big data","project_abstract":"The key objectives of this project are to provide a qualified list of private platforms which can provide comparable data for a European wide territorial analysis and to work towards a framework of cooper-ation that would allow for lasting data extraction possibilities. In this context, a demonstrator study was set up to present exemplary possibilities of how Big Data can be utilized for territorial analysis. Examples are provided based on data extracted from LinkedIn and Twitter.","project_url":"https://www.espon.eu/BigDataIndicators","type":"Project Package","publication_date":null,"archive":[{"name":"project_territorial-indicators-based-on-big-data.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/2343/project_territorial-indicators-based-on-big-data.zip","file_size":"40.5 KB"}],"status":"Published"},{"id":2337,"name":"METRO - The role and future perspectives of Cohesion Policy in the planning of Metropolitan Areas and Cities","abstract":"# ESPON project package: 'METRO - The role and future perspectives of Cohesion Policy in the planning of Metropolitan Areas and Cities'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: METRO - The role and future perspectives of Cohesion Policy in the planning of Metropolitan Areas and Cities\r\n- Url: https://www.espon.eu/metro\r\n- Id: 64\r\n- Update: Nov. 4, 2021, 11:43 a.m.\r\n\r\n\r\n### Abstract\r\n\r\n\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\nNone\r\n\r\n\r\n## Other Data\r\n\r\n- EU Funding per municipality in selected case study metropolitan areas\r\n  - other-data/ESPON_METRO_EU_funding_CaseStudyAreas_OtherData21.xls: EU Funding per municipality in selected case study metropolitan areas\r\n\r\n","project":"METRO - The role and future perspectives of Cohesion Policy in the planning of Metropolitan Areas and Cities","project_abstract":"","project_url":"https://www.espon.eu/metro","type":"Project Package","publication_date":null,"archive":[{"name":"project_metro-the-role-and-future-perspectives-of-cohesion-policy-in-the-pla_iWLtMLH.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/2337/project_metro-the-role-and-future-perspectives-of-cohesion-policy-in-the-pla_iWLtMLH.zip","file_size":"36.5 KB"}],"status":"Published"},{"id":3123,"name":"QoLALPS - Quality of Life in the Alpine area","abstract":"# ESPON project package: 'QoLALPS - Quality of Life in the Alpine area'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: QoLALPS - Quality of Life in the Alpine area\r\n- Url: None\r\n- Id: 83\r\n- Update: March 15, 2024, 9:34 a.m.\r\n\r\n\r\n### Abstract\r\n\r\n\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\nNone\r\n\r\n\r\n## Other Data\r\n\r\n- Territorial Quality of Life Index for Alpine Convention area\r\n  - other-data/QoLAlps_Territorial_QoL_Index.xls: Territorial Quality of Life Index for Alpine Convention area\r\n- Service Provision at LAU Level in the Alpine Convention Area\r\n  - other-data/QoLAlps_Service_levels_LAU.xls: Service Provision at LAU Level in the Alpine Convention Area\r\n- Service Provision at NUTS3 Level in the Alpine Convention Area\r\n  - other-data/QoLAlps_Service_levels_NUTS3.xls: Service Provision at LAU Level in the Alpine Convention Area\r\n\r\n","project":"QoLALPS - Quality of Life in the Alpine area","project_abstract":"","project_url":null,"type":"Project Package","publication_date":null,"archive":[{"name":"project_qolalps-quality-of-life-in-the-alpine-area.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/3123/project_qolalps-quality-of-life-in-the-alpine-area.zip","file_size":"441.6 KB"}],"status":"Published"},{"id":3133,"name":"RURALPLAN - Innovative planning in shrinking societies","abstract":"# ESPON project package: 'RURALPLAN - Innovative planning in shrinking societies'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: RURALPLAN - Innovative planning in shrinking societies\r\n- Url: None\r\n- Id: 82\r\n- Update: Sept. 9, 2024, 10:31 a.m.\r\n\r\n\r\n### Abstract\r\n\r\n\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\nNone\r\n\r\n\r\n## Other Data\r\n\r\n- RURALPLAN_Sweden_dataset\r\n  - other-data/Sweden_RURALPLAN_dataset.xls: Sweden_RURALPLAN_dataset.xls\r\n- RURALPLAN_Switzerland_dataset\r\n  - other-data/Switzerland_RURALPLAN_dataset.xls: Switzerland_RURALPLAN_dataset.xls\r\n- RURALPLAN_Norway_dataset\r\n  - other-data/Norway_RURALPLAN_dataset.xlsx: Norway_RURALPLAN_dataset.xlsx\r\n\r\n","project":"RURALPLAN - Innovative planning in shrinking societies","project_abstract":"","project_url":null,"type":"Project Package","publication_date":null,"archive":[{"name":"project_ruralplan-innovative-planning-in-shrinking-societies.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/3133/project_ruralplan-innovative-planning-in-shrinking-societies.zip","file_size":"442.9 KB"}],"status":"Published"},{"id":985,"name":"PROFECY - Inner Peripheries","abstract":"# ESPON project package: 'PROFECY - Inner Peripheries'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: PROFECY - Inner Peripheries\r\n- Url: https://www.espon.eu/inner-peripheries\r\n- Id: 7\r\n- Update: April 11, 2022, 11:55 a.m.\r\n\r\n\r\n### Abstract\r\n\r\nThe main objective of this project on “Inner Peripheries” is to develop strategies for inner peripheries at European level to overcome their marginalising effects\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_894_ips-del4_csv_4KWBeoy.zip: Delineation 4 - Inner peripheries according to socio-economic local trends (IPs-Del4)\r\n- main-data/ind_842_ips-shop_csv.zip: Delineation of inner peripheries according to access to shops (IPs-Shop)\r\n- main-data/ind_841_ips-jobs_csv_gWVsRkn.zip: Delineation of inner peripheries according to access to jobs (IPs-Jobs)\r\n- main-data/ind_843_ips-stat_csv_P3AyGuH.zip: Delineation of inner peripheries according to access to train stations (IPs-Stat)\r\n- main-data/ind_844_ips-bank_csv_wySQ7W7.zip: Delineation of inner peripheries according to access to banks (IPs-Bank)\r\n- main-data/ind_845_ips-phar_csv.zip: Delineation of inner peripheries according to access to pharmacies (IPs-Phar)\r\n- main-data/ind_846_ips-docs_csv.zip: Delineation of inner peripheries according to access to doctors (IPs-Docs)\r\n- main-data/ind_847_ips-hosp_csv_mXlboII.zip: Delineation of inner peripheries according to access to hospitals (IPs-Hosp)\r\n- main-data/non-std/ind_880_poi-shops_4mYMehs.zip: Location of Shops in Europe (POI-Shops)\r\n- main-data/non-std/ind_879_poi-cine_aDCFCqc.zip: Location of cinemas in Europe (POI-Cine)\r\n- main-data/non-std/ind_881_poi-banks_VUKimFH.zip: Location of banks in Europe (POI-Banks)\r\n- main-data/non-std/ind_882_poi-pharma_kze8eIC.zip: Location of pharmacies in Europe (POI-Pharma)\r\n- main-data/non-std/ind_883_poi-doctors_Bi2up0T.zip: Location of doctors (general practitioners) in Europe (POI-Doctors)\r\n- main-data/non-std/ind_884_poi-hospitals_JZrAKVO.zip: Location of hospitals in Europe (POI-Hospitals)\r\n- main-data/non-std/ind_885_poi-schoolsprimary_OmvOS6l.zip: Location of primary schools in Europe (POI-SchoolsPrimary)\r\n- main-data/non-std/ind_886_poi-schoolssecondary_eTY0m5W.zip: Location of secondary schools in Europe (POI-SchoolsSecondary)\r\n- main-data/non-std/ind_876_delineation3_grid_tt.zip: Travel time to the next Service of General Interest point (grid) (Delineation3_Grid_TT)\r\n- main-data/non-std/ind_875_delineation3_grid_tt_std_37dxCEn.zip: Standardized travel time to the next Service of General Interest point (grid) (Delineation3_Grid_TT_Std)\r\n- main-data/ind_848_ips-psch_csv_3H2XTPk.zip: Delineation of inner peripheries according to access to primary schools (IPs-PSch)\r\n- main-data/non-std/ind_862_d3ipgrid_sgis.zip: Inner Periphery according to access to Services of General Interest (SGIs) (grid) (D3IPGrid_SGIs)\r\n- main-data/non-std/ind_864_d3ipgrid_cine.zip: Cinema IP areas in Europe (grid) (D3IPGrid_Cine)\r\n- main-data/non-std/ind_865_d3ipgrid_jobs.zip: Job IP areas in Europe (grid) (D3IPGrid_Jobs)\r\n- main-data/non-std/ind_866_d3ipgrid_shop.zip: Shop IP areas in Europe (grid) (D3IPGrid_Shop)\r\n- main-data/non-std/ind_869_d3ipgrid_banks.zip: Bank IP areas in Europe (grid) (D3IPGrid_Banks)\r\n- main-data/non-std/ind_870_d3ipgrid_phar.zip: Pharmacy IP areas in Europe (grid) (D3IPGrid_Phar)\r\n- main-data/non-std/ind_871_d3ipgrid_docs.zip: Doctor IP areas in Europe (grid) (D3IPGrid_Docs)\r\n- main-data/non-std/ind_872_d3ipgrid_hosp.zip: Hospital IP areas in Europe (grid) (D3IPGrid_Hosp)\r\n- main-data/non-std/ind_873_d3ipgrid_psch.zip: Primary school IP areas in Europe (grid) (D3IPGrid_PSch)\r\n- main-data/non-std/ind_874_d3ipgrid_secs.zip: Secondary school IP areas in Europe (grid) (D3IPGrid_SecS)\r\n- main-data/non-std/ind_868_d3ipgrid_stat.zip: Station IP areas in Europe (grid) (D3IPGrid_Stat)\r\n- main-data/ind_838_ips-del3_csv.zip: Delineation 3 - Inner Peripheries according to access to Service of General Interests (SGIs) (IPs-Del3)\r\n- main-data/ind_849_ips-ssch_csv.zip: Delineation of inner peripheries according to access to secondary schools (IPs-SSch)\r\n- main-data/ind_855_shr-stat_csv.zip: Share NUTS3 overlaid by station IPs (Shr-Stat)\r\n- main-data/ind_852_shr-cine_csv.zip: Share NUTS3 overlaid by cinema IPs (Shr-Cine)\r\n- main-data/ind_853_shr-jobs_csv.zip: Share NUTS3 overlaid by job IPs (Shr-Jobs)\r\n- main-data/ind_854_shr-shop_csv.zip: Share NUTS3 overlaid by shop IPs (Shr-Shop)\r\n- main-data/ind_856_shr-bank_csv_s2zLiSf.zip: Share NUTS3 overlaid by bank IPs (Shr-Bank)\r\n- main-data/ind_857_shr-phar_csv.zip: Share NUTS3 overlaid by pharmacy IPs (Shr-Phar)\r\n- main-data/ind_858_shr-docs_csv_eoF3DZg.zip: Share NUTS3 overlaid by doctor IPs (Shr-Docs)\r\n- main-data/ind_859_shr-hosp_csv_GU1ncQW.zip: Share NUTS3 overlaid by hospital IPs (Shr-Hosp)\r\n- main-data/ind_861_shr-ssch_csv.zip: Share NUTS3 overlaid by secondary school IPs (Shr-SSch)\r\n- main-data/ind_860_shr-psch_csv_XdWP2On.zip: Share NUTS3 overlaid by primary school IPs (Shr-PSch)\r\n- main-data/non-std/ind_877_poi-sgis.zip: Location of Service of General Interest in Europe (POI-SGIs)\r\n- main-data/ind_840_ips-cine_csv.zip: Delineation of inner peripheries according to access to cinemas (IPs-Cine)\r\n- main-data/ind_1538_potaccro_csv_yCV3u69.zip: Potential accessibility by road (potaccro)\r\n- main-data/ind_1539_potaccra_csv_bTRdbUh.zip: Potential accessibility by rail (potaccra)\r\n- main-data/ind_1540_potaccai_csv.zip: Potential accessibility by air (potaccai)\r\n- main-data/ind_1541_potaccmu_csv.zip: Potential multimodal accessibility (potaccmu)\r\n- main-data/non-std/ind_1542_travtime.zip: Road travel time between centroids of NUTS-3 regions (travtime)\r\n- main-data/ind_829_shr-del1_csv.zip: Share of regions overlaid by Inner Peripheries (IP) according to high travel times to regional centres (Shr-Del1)\r\n- main-data/non-std/ind_830_d1_ips_grid-d1ipgrid.zip: Inner Peripheries according to high travel times to regional centres (grid) (D1_Ips_Grid-D1IPGrid)\r\n- main-data/non-std/ind_831_delineation1_grid_tt_std-d1_tt.zip: Standardized travel time to next regional centre (grid) (Delineation1_Grid_TT_Std-D1_TT)\r\n- main-data/non-std/ind_832_delineation1_grid_tt-d1_tt.zip: Car travel time to next regional centre (grid) (Delineation1_Grid_TT-D1_TT)\r\n- main-data/ind_828_ips-del1_csv_w34TI8g.zip: Delineation 1 - Inner Peripheries according to high travel times to regional centres (IPs-Del1)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- Car travel time and distance matrices\r\n  - other-data/ODMatrix2016_N0.zip: O/D-Matrix NUTS-0 (NUTS 2016)\r\n  - other-data/ESPON_PROFECY_Update_CarTravelTimesDistancesMatrices_Metadata_20211109.pdf: ReadMe_CarTravelTimeDistanceMatrices\r\n  - other-data/TravTime_Matrices_Metadata.xlsx: Metadata\r\n  - other-data/ODMatrix2016_N1.zip: O/D-Matrix NUTS-1 (NUTS 2016)\r\n  - other-data/ODMatrix2016_N2.zip: O/D-Matrix NUTS-2 (NUTS 2016)\r\n  - other-data/ODMatrix2021_N0.zip: O/D-Matrix NUTS-0 (NUTS 2021)\r\n  - other-data/ODMatrix2021_N1.zip: O/D-Matrix NUTS-1 (NUTS 2021)\r\n  - other-data/ODMatrix2021_N2.zip: O/D-Matrix NUTS-2 (NUTS 2021)\r\n  - other-data/ODMatrix2016_N3.zip: O/D-Matrix NUTS-3 (NUTS 2016)\r\n  - other-data/ODMatrix2021_N3.zip: O/D-Matrix NUTS-3 (NUTS 2021)\r\n\r\n","project":"PROFECY - Inner Peripheries","project_abstract":"The main objective of this project on “Inner Peripheries” is to develop strategies for inner peripheries at European level to overcome their marginalising effects","project_url":"https://www.espon.eu/inner-peripheries","type":"Project Package","publication_date":"2019-02-15T16:05:32.328920+01:00","archive":[{"name":"project_profecy-inner-peripheries.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/985/project_profecy-inner-peripheries.zip","file_size":"437.7 MB"}],"status":"Published"},{"id":2852,"name":"DIGISER - Digital Innovation in Governance and Public Service Provision","abstract":"# ESPON project package: 'DIGISER - Digital Innovation in Governance and Public Service Provision'\r\n\r\nThis readme file describes the content of this package.\r\n\r\n\r\n## Information\r\n\r\n- Name: DIGISER - Digital Innovation in Governance and Public Service Provision\r\n- Url: https://www.espon.eu/DIGISER\r\n- Id: 68\r\n- Update: June 29, 2022, 9:08 a.m.\r\n\r\n\r\n### Abstract\r\n\r\n\r\n\r\n\r\n# Files\r\n\r\n- README.txt: This file\r\n\r\n\r\n## Main Data\r\n\r\n- main-data/ind_2388_i2_2_1_1_csv_pxfarpz.zip: Data Platform (I2_2_1_1)\r\n- main-data/ind_2389_i2_2_1_2_csv_Ik359GG.zip: Data Use (I2_2_1_2)\r\n- main-data/ind_2390_i2_2_1_3_csv_lupEk3v.zip: Data Strategy (I2_2_1_3)\r\n- main-data/ind_2391_i2_2_1_4_csv_Pn0kKq8.zip: Open Data (I2_2_1_4)\r\n- main-data/ind_2393_i2_2_3_1_csv_AuC6Fqw.zip: Co-creation (I2_2_3_1)\r\n- main-data/ind_2394_i2_2_3_2_csv_asAXEER.zip: E-participation (I2_2_3_2)\r\n- main-data/ind_2396_i2_2_4_1_csv_Sq6M6QU.zip: Innovation strategy (I2_2_4_1)\r\n- main-data/ind_2397_i2_2_4_2_csv_K86u2EX.zip: Proneness to experiment (I2_2_4_2)\r\n- main-data/ind_2398_i2_2_4_3_csv_YBxw4z1.zip: Skills (I2_2_4_3)\r\n- main-data/ind_2395_i2_2_3_3_csv_kRqfdpy.zip: Social Media Presence (I2_2_3_3)\r\n- main-data/ind_2392_i2_2_1_5_csv_FEfuJYu.zip: Big Data (I2_2_1_5)\r\n- main-data/ind_2383_i2_1_3_csv_v3LFpVb.zip: Organizational readiness (I2_1_3)\r\n- main-data/ind_2376_i1_1_2_csv_3nn4LhC.zip: Innovative technologies (I1_1_2)\r\n- main-data/ind_2373_i2_1_csv_WBLJrlo.zip: Change management (I2_1)\r\n- main-data/ind_2369_i1_1_csv_sgd2RTm.zip: Digital maturity (I1_1)\r\n- main-data/ind_2368_i1_csv_hf7BaZi.zip: Digital Service Innovation Maturity (I1)\r\n- main-data/ind_2370_i1_2_csv_DlLcJQx.zip: Level of service embedment (I1_2)\r\n- main-data/ind_2372_i2_csv_4zACkDQ.zip: Proneness to change (I2)\r\n- main-data/ind_2374_i2_2_csv_AyIS96Z.zip: Innovation governance (I2_2)\r\n- main-data/ind_2371_dpsvi_csv_LfNxpSY.zip: Digital Public Service Value Index (DPSVI)\r\n- main-data/ind_2375_i1_1_1_csv_3Mwpkb7.zip: Digitization (I1_1_1)\r\n- main-data/ind_2377_i1_1_3_csv_5FYYlod.zip: Advanced methods and principles (I1_1_3)\r\n- main-data/ind_2378_i1_2_1_csv_u3mRotc.zip: Scaling deep (I1_2_1)\r\n- main-data/ind_2379_i1_2_2_csv_hi8aLZH.zip: Scaling out (I1_2_2)\r\n- main-data/ind_2380_i1_2_3_csv_baFUJFA.zip: Scaling up (I1_2_3)\r\n- main-data/ind_2381_i2_1_1_csv_vtZcg5w.zip: Context empowerment (I2_1_1)\r\n- main-data/ind_2382_i2_1_2_csv_qrYjrK3.zip: Replication and diffusion (I2_1_2)\r\n- main-data/ind_2384_i2_2_1_csv_lAQ0XgM.zip: Data management (I2_2_1)\r\n- main-data/ind_2385_i2_2_2_csv_n8fIhxR.zip: Procurement (I2_2_2)\r\n- main-data/ind_2386_i2_2_3_csv_nRQSsIz.zip: Societal engagement (I2_2_3)\r\n- main-data/ind_2387_i2_2_4_csv_8rLI9dp.zip: Institutional capacity (I2_2_4)\r\n\r\n\r\n\r\n## Other Data\r\n\r\n- DIGISurvey raw data\r\n  - other-data/DB2020_DIGISER_Q_Report_Other_Data_Ftpq7P2.xls: DIGISurvey raw data\r\n- Service Area Index\r\n  - other-data/DB2020_DIGISER_Service_area_indices_Other_Data.xls: Service Area Index\r\n\r\n","project":"DIGISER - Digital Innovation in Governance and Public Service Provision","project_abstract":"","project_url":"https://www.espon.eu/DIGISER","type":"Project Package","publication_date":null,"archive":[{"name":"project_digiser-digital-innovation-in-governance-and-public-service-provision.zip","category":"Data file","file":"https://database.espon.eu/private-media/object/2852/project_digiser-digital-innovation-in-governance-and-public-service-provision.zip","file_size":"2.7 MB"}],"status":"Published"}]}