Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
This file contains European countries in a shapefile format that can be used in python, R or matlab. The file has been created by Drin Marmullaku based on GADM version 4.1 (https://gadm.org/) and distributed according to their license (https://gadm.org/license.html).
Please cite as: Sevdari, Kristian; Marmullaku, Drin (2023). Shapefile of European countries. Technical University of Denmark. Dataset. https://doi.org/10.11583/DTU.23686383 This dataset is distributed under a CCBY-NC-SA 4.0 license
Using the data to create maps for publishing of academic research articles is allowed. Thus you can use the maps you made with GADM data for figures in articles published by PLoS, Springer Nature, Elsevier, MDPI, etc. You are allowed (but not required) to publish these articles (and the maps they contain) under an open license such as CC-BY as is the case with PLoS journals and may be the case with other open access articles. Data for the following countries is covered by a a different license Austria: Creative Commons Attribution-ShareAlike 2.0 (source: Government of Austria)
European Landslide Susceptibility Map version 2 (ELSUS v2) ELSUS v2 shows levels of spatial probability of generic landslide occurrence at continental scale. It covers all European Union member states except Malta, and several neighbouring countries. The map has been produced by regionalizing the study area based on elevation and climatic conditions, followed by spatial multi-criteria evaluation modelling using pan-European slope angle, shallow sub-surface lithology, and land cover spatial datasets as the main landslide conditioning factors. In addition, the location of over 149,000 landslides across Europe, provided by various national organizations or collected by the authors, has been used for model calibration and map validation. Additional information is given in both the metadata and the references below. Compared with the previous version ELSUS1000 v1, ELSUS v2 provides larger geographical coverage, higher spatial resolution and higher prediction model performance. The map has been produced jointly by Bundesanstalt für Geowissenschaften und Rohstoffe (BGR, Hannover, Germany), Istituto di Ricerca per la Protezione Idrogeologica (CNR-IRPI, Perugia, Italy), Institut de Physique du Globe de Strasbourg (CNRS-EOST, Strasbourg, France), and the Joint Research Centre (JRC, Ispra, Italy), as part of the collaborative work of the European Landslide Expert Group and the European Centre on Geomorphological Hazards (CERG) in support of the EU Thematic Strategy for Soil Protection. The landslide susceptibility map is available to download together with ancillary maps including confidence level of the classified landslide susceptibility, climate-physiographic regions, slope angle, lithology, and land cover. ELSUS v2 is to be viewed at scales up to 1:200,000 and should not be used to deduce local information on landslide susceptibility. Metadata for all datasets: Title: European Landslide Susceptibility Map version 2 (ELSUS v2) Description: Landslide susceptibility levels at continental scale derived from heuristic-statistical modelling of main landslide conditioning factors using also landslide location data Spatial coverage: All European Union member states except Malta, in addition to Albania, Andorra, Bosnia and Herzegovina, Croatia, FYR Macedonia, Iceland, Kosovo, Liechtenstein, Montenegro, Norway, San Marino, Serbia, and Switzerland Cell size: 200 m Format: Esri ASCII Grid Map datum, projection: ETRS89, Lambert Azimuthal Equal Area Landslide susceptibility coding: 0 = no data; 1 = very low; 2 = low; 3 = moderate; 4 = high; 5 = very highFiles: elsus_v2.asc and ancillary filesAncillary datasets: Confidence Level Map of ELSUS v2, Climate-Physiographic regions, Slope Angle, Lithology, and Land Cover Authoring organisations: BGR, CNR-IRPI, CNRS-EOST and EC-JRC.D Release date: 12 February 2018 Title: Confidence Level Map of the European Landslide Susceptibility Map ELSUS v2 Description: Confidence levels of the classified landslide susceptibility on EUROSTAT NUTS 3 regions. The levels have been calculated either statistically or by expert evaluation Spatial coverage: All or most of Albania, Austria, Bulgaria, Czech Republic, Cyprus, France, Greece, Hungary, Ireland, Italy, Norway, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, and UK, and part of Belgium, Denmark, and Germany Cell size: n.a. Format: Esri Shapefile Map datum, projection: ETRS89, Lambert Azimuthal Equal Area Confidence (reliability) values: good, moderate, poor, no informationFiles: confidence.shp and ancillary filesAncillary datasets: European Landslide Susceptibility Map version 2 (ELSUS v2), Climate-Physiographic regions, Slope Angle, Lithology, and Land Cover Authoring organisations: BGR, CNR-IRPI, CNRS-EOST and EC-JRC.D Release date: 12 February 2018 Title: Climate-Physiographic Regions Description: Climate-physiographic regions derived from intersection of Köppen climate zones with NORDREGIO mountain classification deduced from GTOPO30 information Spatial coverage: All 28 European Union member states, in addition to Albania, Andorra, Bosnia and Herzegovina, Croatia, FYR Macedonia, Iceland, Kosovo, Liechtenstein, Montenegro, Norway, San Marino, Serbia, and Switzerland Cell size: n.a. Format: Esri Shapefile Map datum, projection: ETRS89, Lambert Azimuthal Equal Area Climate-physiographic regions coding: 0 = coastal area; 1 = plain (arid/temperate climate with dry summer); 2 = plain (temperate climate without dry period); 3 = plain (cold climate with warm summer); 4 = plain (cold climate with cold summer); 5 = mountain (arid/temperate climate); 6 = mountain (polar/cold climate)Files: climate_phys_regions.shp and ancillary filesAncillary datasets: European Landslide Susceptibility Map version 2 (ELSUS v2), Confidence Level Map of ELSUS v2, Slope Angle, Lithology, and Land Cover Authoring organisations: BGR, CNR-IRPI, CNRS-EOST and EC-JRC.D Release date: 12 February 2018 Title: Slope Angle Description: Slope angle class values derived mainly from BGR’s EU 27 DEM data, resampled to 200 m resolution Spatial coverage: All 28 European Union member states, in addition to Andorra, Albania, Andorra, Bosnia and Herzegovina, Croatia, FYR Macedonia, Iceland, Kosovo, Liechtenstein, Montenegro, Norway, San Marino, Serbia, and SwitzerlandCell size: 200 m Format: GeoTIFF Map datum, projection: ETRS89, Lambert Azimuthal Equal Area Slope angle coding: 0 = no data; 1 = 0°; 2 = 1°-3°; 3 = 4°-6°; 4 = 7°-10°; 5 = 11°-15°; 6 = 16° - 20°; 7 = 21° - 30°; 8 = 31° - 82°Files: slope.tifAncillary datasets: European Landslide Susceptibility Map version 2 (ELSUS v2), Confidence Level Map of ELSUS v2, Climate-Physiographic regions, Lithology, and Land Cover Authoring organisations: BGR, CNR-IRPI, CNRS-EOST and EC-JRC.D Release date: 12 February 2018 Title: Lithology Description:Lithology class information derived from BGR’s IHME1500 data, rasterized to 200 m resolution Spatial coverage: All European Union member states except Malta, in addition to Albania, Andorra, Bosnia and Herzegovina, Croatia, FYR Macedonia, Iceland, Kosovo, Liechtenstein, Montenegro, Norway, San Marino, Serbia, and SwitzerlandCell size: 200 m Format: GeoTIFF Map datum, projection: ETRS89, Lambert Azimuthal Equal Area Lithology coding: 0 = no data; 1 = schists, phyllites, quartzites and marbles; 2 = shales; 3 = plutonic rocks; 4 = gneisses; 5 = sandstones and conglomerates; 6 = sandstones, conglomerates and sands; 7 = limestones; 8 = sandstones, conglomerates and clays; 9 = gravels; 10 = sands; 11 = sandstones and marls; 12 = limestones, marlstones and clays; 13 = clays; 14 = marlstones and limestones; 15 = marlstones, limestones and sands; 16 = limestones, marlstones and marls; 17 = volcanic rocks; 18 = silts; 19 = claystones and claysFiles:lithology.tifAncillary datasets: European Landslide Susceptibility Map version 2 (ELSUS v2), Confidence Level Map of ELSUS v2, Climate-Physiographic regions, Slope Angle, and Land CoverAuthoring organisations: BGR, CNR-IRPI, CNRS-EOST and EC-JRC.D Release date: 12 February 2018 Title: Land Cover Description: Land cover class values derived from ESA GlobCover2009 data (http://due.esrin.esa.int/page_globcover.php) resampled to 200 m resolutionSpatial coverage: All 28 European Union member states, in addition to Albania, Andorra, Bosnia and Herzegovina, Croatia, FYR Macedonia, Iceland, Kosovo, Liechtenstein, Montenegro, Norway, San Marino, Serbia, and SwitzerlandCell size: 200 m Format: GeoTIFF Map datum, projection: ETRS89, Lambert Azimuthal Equal Area Land Cover coding: 0 = no data; 1 = cropland; 2 = open forest; 3 = closed forest; 4 = shrub; 5 = pasture/meadow; 6 = bare; 7 = artificialFiles: landcover.tifAncillary datasets: European Landslide Susceptibility Map version 2 (ELSUS v2), Confidence Level Map of ELSUS v2, Climate-Physiographic regions, Slope Angle, and LithologyAuthoring organisations: BGR, CNR-IRPI, CNRS-EOST and EC-JRC.D Release date: 12 February 2018 References Wilde, M., Günther, A., Reichenbach, P., Malet, J.-P., Hervás, J., 2018. Pan-European landslide susceptibility mapping: ELSUS Version 2. Journal of Maps, 14(2): 97-104 and supplemental map. Günther, A., Van Den Eeckhaut, M., Malet, J.-P., Reichenbach, P., Hervás, J., 2014. Climate-physiographically differentiated Pan-European landslide susceptibility assessment using spatial multi-criteria evaluation and transnational landslide information. Geomorphology, 224: 69-85
MIT Licensehttps://opensource.org/licenses/MIT
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This map shows the natural susceptibility of agricultural soils to compaction if they were to be exposed to compaction. The evaluation of the soil’s natural susceptibility is based on the creation of logical connections between relevant parameters (pedotransfer rules). The input parameters for these pedotransfer rules are taken from the attributes of the European soil database, e.g. soil properties: type, texture and water regime, depth to textural change and the limitation of the soil for agricultural use. Besides the main parameters auxiliary parameters have been used as impermeable layer, depth of an obstacle to roots, water management system, dominant and secondary land use. It was assumed that every soil, as a porous medium, could be compacted.
The map of natural soil susceptibility to compaction was created from the evaluation of selected parameters from the ESDB. The soil susceptibility to compaction was divided into 4 categories. Two additional categories represent the data concerning places where this evaluation was either not relevant or could not been provided because of lack of information. In total there are 6 categories (attribute "Evaluation" in the shapefile):
0 - no soil. This represents water bodies, glaciers and rock outcrops
1 - low susceptibility to compaction
2. - medium susceptibility to compaction
3. - high susceptibility to compaction
4. - very high susceptibility to compaction
9. - no evaluation possible. This was the case of towns including also soils, soils disturbed by man and marsh.
This metadata record is adapted from the orginal one received from JRC.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Important NOTE: This dataset will not continue to be updated by the municipal street in ED50 format. The last update corresponds to 27-November-2017. The data set Chart Information System — Building, has current files in different coordinate systems and formats. Contents of the file: Last updated date: 27-November-2017. The data set ** Cartographic Information System — Building**, has current files in different coordinate systems and formats. Description: Contains the lines of constructive elements used in the development of the entity Building and in supplementing it, as described in the Catalogue and Description Shape Exchange Files Geometry: Line. File structure shape * * * * ID_EDIFICA (NUMÉRICUM): Registration ID. * * * * * *
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Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
This file contains European countries in a shapefile format that can be used in python, R or matlab. The file has been created by Drin Marmullaku based on GADM version 4.1 (https://gadm.org/) and distributed according to their license (https://gadm.org/license.html).
Please cite as: Sevdari, Kristian; Marmullaku, Drin (2023). Shapefile of European countries. Technical University of Denmark. Dataset. https://doi.org/10.11583/DTU.23686383 This dataset is distributed under a CCBY-NC-SA 4.0 license
Using the data to create maps for publishing of academic research articles is allowed. Thus you can use the maps you made with GADM data for figures in articles published by PLoS, Springer Nature, Elsevier, MDPI, etc. You are allowed (but not required) to publish these articles (and the maps they contain) under an open license such as CC-BY as is the case with PLoS journals and may be the case with other open access articles. Data for the following countries is covered by a a different license Austria: Creative Commons Attribution-ShareAlike 2.0 (source: Government of Austria)