{"type": "FeatureCollection", "features": [{"id": "10.1002/joc.1276", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:14:05Z", "type": "Journal Article", "created": "2005-11-30", "title": "Very High Resolution Interpolated Climate Surfaces For Global Land Areas", "description": "(Uploaded by Plazi for the Bat Literature Project) We developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km spatial resolution). The climate elements considered were monthly precipitation and mean, minimum, and maximum temperature. Input data were gathered from a variety of sources and, where possible, were restricted to records from the 1950\u20132000 period. We used the thin-plate smoothing spline algorithm implemented in the ANUSPLIN package for interpolation, using latitude, longitude, and elevation as independent variables. We quantified uncertainty arising from the input data and the interpolation by mapping weather station density, elevation bias in the weather stations, and elevation variation within grid cells and through data partitioning and cross validation. Elevation bias tended to be negative (stations lower than expected) at high latitudes but positive in the tropics. Uncertainty is highest in mountainous and in poorly sampled areas. Data partitioning showed high uncertainty of the surfaces on isolated islands, e.g. in the Pacific. Aggregating the elevation and climate data to 10 arc min resolution showed an enormous variation within grid cells, illustrating the value of high-resolution surfaces. A comparison with an existing data set at 10 arc min resolution showed overall agreement, but with significant variation in some regions. A comparison with two high-resolution data sets for the United States also identified areas with large local differences, particularly in mountainous areas. Compared to previous global climatologies, ours has the following advantages: the data are at a higher spatial resolution (400 times greater or more); more weather station records were used; improved elevation data were used; and more information about spatial patterns of uncertainty in the data is available. Owing to the overall low density of available climate stations, our surfaces do not capture of all variation that may occur at a resolution of 1 km, particularly of precipitation in mountainous areas. In future work, such variation might be captured through knowledgebased methods and inclusion of additional co-variates, particularly layers obtained through remote sensing. Copyright \uf6d9 2005 Royal Meteorological Society.", "keywords": ["0106 biological sciences", "0301 basic medicine", "550", "Climate", "bats", "bat", "Precipitation", "precipitation", "01 natural sciences", "Error", "geographical information systems", "03 medical and health sciences", "precipitaci\u00f3n atmosf\u00e9rica", "Chiroptera", "1902 Atmospheric Science", "Animalia", "Chordata", "temperatura", "factores clim\u00e1ticos", "procesamiento de datos", "Temperature", "Uncertainty", "temperature", "Biodiversity", "15. Life on land", "GIS", "climatic factors", "Interpolation", "ANUSPLIN", "13. Climate action", "Mammalia", "sistemas de informaci\u00f3n geogr\u00e1fica", "data processing"]}, "links": [{"href": "https://doi.org/10.1002/joc.1276"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Climatology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/joc.1276", "name": "item", "description": "10.1002/joc.1276", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/joc.1276"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-01-01T00:00:00Z"}}, {"id": "10.1038/srep08280", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:38Z", "type": "Journal Article", "created": "2015-02-06", "title": "Convergence Of Soil Nitrogen Isotopes Across Global Climate Gradients", "description": "Abstract<p>Quantifying global patterns of terrestrial nitrogen (N) cycling is central to predicting future patterns of primary productivity, carbon sequestration, nutrient fluxes to aquatic systems and climate forcing. With limited direct measures of soil N cycling at the global scale, syntheses of the 15N:14N ratio of soil organic matter across climate gradients provide key insights into understanding global patterns of N cycling. In synthesizing data from over 6000 soil samples, we show strong global relationships among soil N isotopes, mean annual temperature (MAT), mean annual precipitation (MAP) and the concentrations of organic carbon and clay in soil. In both hot ecosystems and dry ecosystems, soil organic matter was more enriched in 15N than in corresponding cold ecosystems or wet ecosystems. Below a MAT of 9.8\uffc2\uffb0C, soil \uffce\uffb415N was invariant with MAT. At the global scale, soil organic C concentrations also declined with increasing MAT and decreasing MAP. After standardizing for variation among mineral soils in soil C and clay concentrations, soil \uffce\uffb415N showed no consistent trends across global climate and latitudinal gradients. Our analyses could place new constraints on interpretations of patterns of ecosystem N cycling and global budgets of gaseous N loss.</p>", "keywords": ["N-15 Natural-Abundance", "550", "Ecosystem ecology", "TROPICAL FORESTS", "Organic chemistry", "Suelo", "Nitrogen cycle", "01 natural sciences", "Nutrient cycle", "cycle de l'azote", "CARBON", "Agricultural and Biological Sciences", "Soil", "Terrestrial ecosystem", "Isotopes", "https://purl.org/becyt/ford/1.6", "Soil water", "SDG 13 - Climate Action", "N-15 NATURAL-ABUNDANCE", "Climate change", "croisement de donn\u00e9es", "Milieux et Changements globaux", "SDG 15 \u2013 Leben an Land", "Global change", "SDG 15 - Life on Land", "2. Zero hunger", "106022 Mikrobiologie", "Climatic Factors", "Tropical Forests", "Ecology", "Geography", "Nitr\u00f3geno", "Nutrient Cycling", "FRACTIONATION", "Litter Decomposition", "ECOSYSTEM ECOLOGY", "Life Sciences", "ecosystem ecology", "Cycling", "Forestry", "Is\u00f3topos", "Carbon cycle", "04 agricultural and veterinary sciences", "Nitrogen Cycle", "Soil carbon", "6. Clean water", "Organic-Matter", "Earth and Planetary Sciences", "ORGANIC-MATTER", "Chemistry", "PRECIPITATION", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "Physical Sciences", "106022 Microbiology", "carbone du sol", "Stable Isotope Analysis of Groundwater and Precipitation", "Ecosystem Functioning", "570", "STABLE ISOTOPE", "Biogeochemical Cycling of Nutrients in Aquatic Ecosystems", "Stable isotope analysis", "Nitrogen", "[SDE.MCG]Environmental Sciences/Global Changes", "Soil Science", "stable isotope analysis;ecosystem ecology", "Article", "Environmental science", "LITTER DECOMPOSITION", "sol min\u00e9ral", "INORGANIC NITROGEN", "Geochemistry and Petrology", "stable isotope analysis", "Carbono", "Environmental Chemistry", "Factores Clim\u00e1ticos", "https://purl.org/becyt/ford/1", "Biology", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "Soil organic matter", "Soil Fertility", "climat", "AVAILABILITY", "Nitrogen Dynamics", "15. Life on land", "Carbon", "Inorganic", "NITROGEN", "MODEL", "[SDE.MCG] Environmental Sciences/Global Changes", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "PATTERNS", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems"]}, "links": [{"href": "https://scholars.unh.edu/context/faculty_pubs/article/1042/viewcontent/srep08280.pdf"}, {"href": "https://edoc.unibas.ch/37215/1/srep08280.pdf"}, {"href": "https://doi.org/10.1038/srep08280"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientific%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/srep08280", "name": "item", "description": "10.1038/srep08280", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/srep08280"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-02-06T00:00:00Z"}}, {"id": "286a674c-1bcd-4a35-b78f-7e980a89d6fa", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.46, 53.29], [13.46, 53.43], [13.88, 53.43], [13.88, 53.29], [13.46, 53.29]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "climatic factors"}, {"id": "environmental factors"}, {"id": "measurement"}, {"id": "production location"}, {"id": "climate system"}, {"id": "ecosystems"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}, {"id": "Bewirtschaftungsgebiete/Schutzgebiete/geregelte Gebiete und Berichterstattungseinheiten"}, {"id": "Lebensr\u00e4ume und Biotope"}, {"id": "Meteorologisch-geografische Kennwerte"}], "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 ZALF Forschungsdatenmanagement's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Forschungsdatenmanagement and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Forschungsdatenmanagement 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 ZALF Forschungsdatenmanagement 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": "2023-08-16", "type": "Dataset", "created": "2021-11-10", "language": "eng", "title": "Microclimatic data along a gradient from kettle holes to agricultural fields in the AgroScapeLabs Quillow 2019", "description": "Ten kettle holes within six agricultural fields (crop: winter wheat) were selected for monitoring microclimatic conditions around the kettle holes. For this purpose we have established a transect starting from the edge of the kettle holes up to 50 m into the surrounding wheat fields. As a control, transects were established from the field edge into the wheat field. Along these transects microclimatic observation stations were installed at 5 different distances (-1m; 1m; 5m; 20m; 50m). At each point air temperature and air humidity were monitored during the growing season of wheat plants (between April and June 2019)\n\nResearch domain: Ecology of Agricultural Landscapes", "formats": [{"name": "CSV"}], "keywords": ["climatic factors", "environmental factors", "measurement", "production location", "climate system", "ecosystems", "opendata", "Boden", "Bewirtschaftungsgebiete/Schutzgebiete/geregelte Gebiete und Berichterstattungseinheiten", "Lebensr\u00e4ume und Biotope", "Meteorologisch-geografische Kennwerte", "Germany", "Brandenburg", "Uckermark", "Quillow"], "contacts": [{"name": "Marina M\u00fcller", "organization": "ZALF", "position": "senior scientist", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "mmueller@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Michael Glemnitz", "organization": "ZALF", "position": "senior scientist", "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "mglemnitz@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "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}]}, {"name": "Grit von der Waydbrink", "organization": "ZALF", "position": null, "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "grit.waydbrink@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "ZALF", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=286a674c-1bcd-4a35-b78f-7e980a89d6fa", "rel": "information"}, {"rel": "self", "type": "application/geo+json", "title": "286a674c-1bcd-4a35-b78f-7e980a89d6fa", "name": "item", "description": "286a674c-1bcd-4a35-b78f-7e980a89d6fa", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/286a674c-1bcd-4a35-b78f-7e980a89d6fa"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2019-04-23T00:00:00Z", "2019-06-30T00:00:00Z"]}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Climatic+Factors&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=Climatic+Factors&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=Climatic+Factors&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Climatic+Factors&offset=3", "hreflang": "en-US"}], "numberMatched": 3, "numberReturned": 3, "distributedFeatures": [], "timeStamp": "2026-05-25T10:12:35.883235Z"}