{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.15096788", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:21:01Z", "type": "Dataset", "title": "HWSD2_Climate_and_Socioeconomic_agriculturalsoil_dataset_mainland_portugal", "description": "The study uses the Harmonized World Soil Database (HWSD v2.0) developed by FAO and IIASA for biophysical models and agroecological queries. This database consolidates information from various sources, including the European Soil Database, the 1:1 million soil map of China, and national soil maps from Afghanistan, Ghana, and T\u00fcrkiye. It has a spatial resolution of around 1 km and is revised in 2013 and 2023. HWSD v2.0 includes detailed information on soil mapping units, general soil unit information, and specific physical and chemical soil unit characteristics across seven depth layers.  The database fields cover a wide range of attributes, such as soil texture, bulk density, organic carbon content, pH, and cation exchange capacity. The harmonization process ensures that data from different sources is standardized and integrated, providing a consistent and reliable dataset for various applications. However, the HWSD v2.0 has some limitations, such as combining soil inventories gathered at different times, scales, and precision, which may affect its reliability for national studies. It is recommended to use national-level harmonized soil databases for more accurate results in specific regions.  For Portugal's mainland, the data presented in the HWSD v2.0 dataset is sourced from the European Soil Data Centre (ESDAC), which contains various metrics of chemical and physical soil properties. Out of the 2882 Portuguese parishes, only 22 are left out, representing 0.76% percent of the total number of parishes.  The study uses several datasets to analyze land use and occupation in Portugal. The Land Use and Occupation Map (COS2007v3.0) is a detailed thematic map of land use and occupation for mainland Portugal, developed by the Directorate-General for Territory (DGT). The data is organized hierarchically and includes 83 classes of land use and occupation. The CHELSA database, maintained by the Swiss Federal Institute for Forest, Snow, and Landscape Research (WSL), provides bioclimatic indexes for precipitation and average temperature over various temporal intervals and variables.  The National Institute of Statistics (INE) provides data on agricultural machinery distribution across different geographical locations. The dataset covers the total number of agricultural machines, as well as specific categories such as wheeled and tracked tractors, motor cultivators, power hoes, motor mowers, and combine harvesters. The dataset also examines the distribution of farms with access to irrigation based on geographical location.  The burned land data from 1975 to 2023 provides a comprehensive overview of fire occurrences and their impact over time. This data is crucial for understanding long-term patterns, assessing the effectiveness of fire prevention measures, and informing future land management and policy decisions.  Lastly, the population density dataset from the 2021 Census and the 2011 Census provides a decennial comparison of total population density across different geographical regions. These data are essential for understanding the evolution of land use and occupation in Portugal and their implications for environmental and agricultural consequences.", "keywords": ["Soil", "Total organic carbon", "Land use", "Soil use", "Atmospheric precipitation", "Soil type", "Organic carbon", "Land surface temperature"], "contacts": [{"organization": "Almeida Santos, R. G. F.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15096788"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15096788", "name": "item", "description": "10.5281/zenodo.15096788", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15096788"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-27T00:00:00Z"}}, {"id": "10.5281/zenodo.14773242", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:55Z", "type": "Dataset", "title": "Covariate datasets used to predict soil property distribution in EJP Soil mapping", "description": "These datasets were prepared within the scope of the EJP SOIL programme. The datasets are extracted from different sources, clipped and reprojected to EPSG:3035. The sources are listed in the table below. The datasets were used as environmental layers to prodict soil property distribution (soil maps) at National and continental level within the EJP SOIL programme.\u00a0  Dataset sources:     Copernicus Climate Data Store https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land-monthly-means?tab=overview   RESOLVE Biodiversity and Wildlife Solutions https://ecoregions2017.appspot.com/   Copernicus Land Monitoring Service https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/   European Union/ESA/Copernicus https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/   GLiM - Global Lithological Map https://www.geo.uni-hamburg.de/en/geologie/forschung/aquatische-geochemie/glim.html", "keywords": ["Europe", "Soil sciences", "Land cover", "Lithology", "Altitude", "Solar radiation", "Temperature", "Atmospheric precipitation", "Surface runoff"], "contacts": [{"organization": "Poggio, Laura", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14773242"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14773242", "name": "item", "description": "10.5281/zenodo.14773242", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14773242"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-30T00:00:00Z"}}, {"id": "678678cc-9832-4978-bcc2-d44d4d3628c1", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "weather"}, {"id": "climate"}, {"id": "agrometeorology"}, {"id": "meteorology"}, {"id": "air temperature"}, {"id": "temperature"}, {"id": "precipitation"}, {"id": "meteorological factors"}, {"id": "rain"}, {"id": "solar radiation"}, {"id": "sun"}, {"id": "radiation"}, {"id": "atmospheric pressure"}, {"id": "humidity"}, {"id": "absolute humidity"}, {"id": "relative humidity"}, {"id": "wind data"}, {"id": "wind speed"}, {"id": "atmospheric data"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata meteorological parameter weather condition atmospheric precipitation temperature air temperature radiation solar radiation atmospheric humidity pressure wind"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - SUSALPS's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - SUSALPS and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - SUSALPS and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - SUSALPS and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2023-06-02", "type": "Dataset", "created": "2020-12-08", "language": "eng", "title": "Meteorological Data Rottenbuch site 2012-2018", "description": "Data set contains date, precipitation, average temperture, maximum temperature, minimum temperature, global radiation, relative humidity, air pressure and wind speed in daily resolution.\n\nResearch domain: Climate data\n\nResearch question: The data set contains fundamental information for environmental sciences and, thus, serves as the base for many research questions. The fundamental researc question in SUSALPS is how mountainous grassland can be managed in a sustainable way in a changing climate.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "weather", "climate", "agrometeorology", "meteorology", "air temperature", "temperature", "precipitation", "meteorological factors", "rain", "solar radiation", "sun", "radiation", "atmospheric pressure", "humidity", "absolute humidity", "relative humidity", "wind data", "wind speed", "atmospheric data", "opendata meteorological parameter weather condition atmospheric precipitation temperature air temperature radiation solar radiation atmospheric humidity pressure wind", "Boden"], "contacts": [{"name": "Krischan Petersen", "organization": "KIT IMK-IFU", "position": "Research Associate", "roles": ["author"], "phones": [{"value": "+49 8821 183 160"}], "emails": [{"value": "krischan.petersen@kit.edu"}], "addresses": [{"deliveryPoint": ["Kreuzeckbahnstra\u00dfe 19"], "city": "Garmisch-Partenkirchen", "administrativeArea": "Bavaria", "postalCode": "82467", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Ralf Kiese", "organization": "KIT IMK-IFU", "position": "Group leader", "roles": ["projectLeader"], "phones": [{"value": "+49 8821 183 153"}], "emails": [{"value": "ralf.kiese@kit.edu"}], "addresses": [{"deliveryPoint": ["Kreuzeckbahnstra\u00dfe 19"], "city": "Garmisch-Partenkirchen", "administrativeArea": "Bavaria", "postalCode": "82467", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "KIT IMK-IFU", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=678678cc-9832-4978-bcc2-d44d4d3628c1", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "678678cc-9832-4978-bcc2-d44d4d3628c1", "name": "item", "description": "678678cc-9832-4978-bcc2-d44d4d3628c1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/678678cc-9832-4978-bcc2-d44d4d3628c1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-02T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Atmospheric+precipitation&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Atmospheric+precipitation&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Atmospheric+precipitation&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Atmospheric+precipitation&offset=3", "hreflang": "en-US"}], "numberMatched": 3, "numberReturned": 3, "distributedFeatures": [], "timeStamp": "2026-10-23T00:52:58.345877Z"}