{"type": "FeatureCollection", "features": [{"id": "oai:digibug.ugr.es:10481/73202", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:32:15Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Atribuci\u00f3n-NoComercial 3.0 Espa\u00f1aResearch in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0\u20135 and 5\u201315 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 p ixels ( summarized f rom 8 519 u nique t emperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\u00b0C (mean = 3.0 \u00b1 2.1\u00b0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 \u00b1 2.3\u00b0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (\u22120.7 \u00b1 2.3\u00b0C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["Bioclimatic variables", "Global maps", "Soil temperature", "Temperature offset", "Weather stations", "Microclimate", "Near-surface temperatures", "Soil-dwelling organisms"], "contacts": [{"organization": "Lembrechts, Jonas J., Fern\u00e1ndez Calzado, Mar\u00eda Rosa, Lorite Moreno, Juan,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/oai:digibug.ugr.es:10481/73202"}, {"rel": "self", "type": "application/geo+json", "title": "oai:digibug.ugr.es:10481/73202", "name": "item", "description": "oai:digibug.ugr.es:10481/73202", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/oai:digibug.ugr.es:10481/73202"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-08T00:00:00Z"}}, {"id": "oai:serval.unil.ch:BIB_38E93A02220B", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:32:19Z", "type": "Report", "title": "Global maps of soil temperature.", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km &lt;sup&gt;2&lt;/sup&gt; resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km &lt;sup&gt;2&lt;/sup&gt; pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\u00b0C (mean = 3.0 \u00b1 2.1\u00b0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 \u00b1 2.3\u00b0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 \u00b1 2.3\u00b0C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["Climate Change; Ecosystem; Microclimate; Soil; Temperature; bioclimatic variables; global maps; microclimate; near-surface temperatures; soil temperature; soil-dwelling organisms; temperature offset; weather stations"], "contacts": [{"organization": "Lembrechts, J.J., van den Hoogen, J., Aalto, J., Ashcroft, M.B., De Frenne, P., Kemppinen, J., Kopeck\u00fd, M., Luoto, M., Maclean, IMD, Crowther, T.W., Bailey, J.J., Haesen, S., Klinges, D.H., Niittynen, P., Scheffers, B.R., Van Meerbeek, K., Aartsma, P., Abdalaze, O., Abedi, M., Aerts, R., Ahmadian, N., Ahrends, A., Alatalo, J.M., Alexander, J.M., Allonsius, C.N., Altman, J., Ammann, C., Andres, C., Andrews, C., Ard\u00f6, J., Arriga, N., Arzac, A., Aschero, V., Assis, R.L., Assmann, J.J., Bader, M.Y., Bahalkeh, K., Baran\u010dok, P., Barrio, I.C., Barros, A., Barthel, M., Basham, E.W., Bauters, M., Bazzichetto, M., Marchesini, L.B., Bell, M.C., Benavides, J.C., Benito Alonso, J.L., Berauer, B.J., Bjerke, J.W., Bj\u00f6rk, R.G., Bj\u00f6rkman, M.P., Bj\u00f6rnsd\u00f3ttir, K., Blonder, B., Boeckx, P., Boike, J., Bokhorst, S., Brum, BNS, Br\u016fna, J., Buchmann, N., Buysse, P., Camargo, J.L., Campoe, O.C., Candan, O., Canessa, R., Cannone, N., Carbognani, M., Carnicer, J., Casanova-Katny, A., Cesarz, S., Chojnicki, B., Choler, P., Chown, S.L., Cifuentes, E.F., \u010ciliak, M., Contador, T., Convey, P., Cooper, E.J., Cremonese, E., Curasi, S.R., Curtis, R., Cutini, M., Dahlberg, C.J., Daskalova, G.N., de Pablo, M.A., Della Chiesa, S., Dengler, J., Deronde, B., Descombes, P., Di Cecco, V., Di Musciano, M., Dick, J., Dimarco, R.D., Dolezal, J., Dorrepaal, E., Du\u0161ek, J., Eisenhauer, N., Eklundh, L., Erickson, T.E., Erschbamer, B., Eugster, W., Ewers, R.M., Exton, D.A., Fanin, N., Fazlioglu, F., Feigenwinter, I., Fenu, G., Ferlian, O., Fern\u00e1ndez Calzado, M.R., Fern\u00e1ndez-Pascual, E., Finckh, M., Higgens, R.F., Forte, TGW, Freeman, E.C., Frei, E.R., Fuentes-Lillo, E., Garc\u00eda, R.A., Garc\u00eda, M.B., G\u00e9ron, C., Gharun, M., Ghosn, D., Gigauri, K., Gobin, A., Goded, I., Goeckede, M., Gottschall, F., Goulding, K., Govaert, S., Graae, B.J., Greenwood, S., Greiser, C., Grelle, A., Gu\u00e9nard, B., Guglielmin, M., Guillemot, J., Haase, P., Haider, S., Halbritter, A.H., Hamid, M., Hammerle, A., Hampe, A., Haugum, S.V., Hederov\u00e1, L., Heinesch, B., Helfter, C., Hepenstrick, D., Herberich, M., Herbst, M., Hermanutz, L., Hik, D.S., Hoffr\u00e9n, R., Homeier, J., H\u00f6rtnagl, L., H\u00f8ye, T.T., Hrbacek, F., Hylander, K., Iwata, H., Jackowicz-Korczynski, M.A., Jactel, H., J\u00e4rveoja, J., Jastrz\u0119bowski, S., Jentsch, A., Jim\u00e9nez, J.J., J\u00f3nsd\u00f3ttir, I.S., Jucker, T., Jump, A.S., Juszczak, R., Kanka, R., Ka\u0161par, V., Kazakis, G., Kelly, J., Khuroo, A.A., Klemedtsson, L., Klisz, M., Kljun, N., Knohl, A., Kobler, J., Koll\u00e1r, J., Kotowska, M.M., Kov\u00e1cs, B., Kreyling, J., Lamprecht, A., Lang, S.I., Larson, C., Larson, K., Laska, K., le Maire, G., Leihy, R.I., Lens, L., Liljebladh, B., Lohila, A., Lorite, J., Loubet, B., Lynn, J., Macek, M., Mackenzie, R., Magliulo, E., Maier, R., Malfasi, F., M\u00e1li\u0161, F.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/oai:serval.unil.ch:BIB_38E93A02220B"}, {"rel": "self", "type": "application/geo+json", "title": "oai:serval.unil.ch:BIB_38E93A02220B", "name": "item", "description": "oai:serval.unil.ch:BIB_38E93A02220B", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/oai:serval.unil.ch:BIB_38E93A02220B"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-01T00:00:00Z"}}, {"id": "10.1016/j.eja.2022.126597", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:54Z", "type": "Journal Article", "created": "2022-08-05", "title": "Effects of herbaceous covers and mineral fertilizers on the nutrient stocks and fluxes in a Mediterranean olive grove", "description": "The preservation of nutrient capital, soil fertility, and carbon (C) sequestration capacity in Mediterranean olive groves requires evaluation of agricultural practices beyond short-term productivity. We aim to contribute with a mechanistic understanding on the effects that the preservation of herbaceous cover and the use of chemical fertilizers have on the performance of olive trees and on the biogeochemical cycles of the agroecosystem. We compared nutrient fluxes and aboveground leafy stocks in an olive grove that had been organically managed for more than 60 years, in a treatment in which the annual spontaneous herbaceous cover was maintained (H), and after two years of shift to conventional management treatments in which the growth of herbaceous vegetation was avoided by the use of herbicides (NH), and where exclusion of the herbaceous cover is also combined with the supply of mineral fertilizers (NHF). Maintenance of herbaceous vegetation in H contributed to the retention of a high aboveground capital of C and nutrients, particularly nitrogen, (N), phosphorus (P) and potassium (K) that were about 2.9, 3.9 and 7.4 times greater than in NH, respectively. The permanence of herbaceous cover stimulated olive tree leaf litter decomposition rates by about 86 % and increased nutrient release. However, the H treatment led to a 37 % decrease in olive yield and lowered olive foliar N and P content as negative short-term effects. The addition of fertilizers (N, P, K, and Mg) in mineral and solid form in NHF resulted inefficient to improve olive tree nutritional status and olive production, and decelerated olive tree litter decomposition rates by 21 % and nutrient release. The nutrient retention in organic forms in the fast-growing species of herbaceous covers and the progressive nutrient release as litter decomposes may contribute to regulate and better adapt nutrient availability to the nutrient requirements of olive trees.", "keywords": ["2. Zero hunger", "Agroecosistemas", "Cubierta vegetal", "Agroecosystem", "Litter decomposition", "Sustainable agriculture", "Microclimate amelioration", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Agricultura sostenible", "Nutritional status", "Weed cover", "13. Climate action", "Olive production", "Abonos inorg\u00e1nicos", "0401 agriculture", " forestry", " and fisheries", "Olea europaea", "Hojarasca", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.eja.2022.126597"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.eja.2022.126597", "name": "item", "description": "10.1016/j.eja.2022.126597", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.eja.2022.126597"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-01T00:00:00Z"}}, {"id": "10.1111/nph.12569", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:54Z", "type": "Journal Article", "created": "2013-10-31", "title": "Experimental Drought Reduces The Transfer Of Recently Fixed Plant Carbon To Soil Microbes And Alters The Bacterial Community Composition In A Mountain Meadow", "description": "Summary<p>   <p>Drought affects plants and soil microorganisms, but it is still not clear how it alters the carbon (C) transfer at the plant\uffe2\uff80\uff93microbial interface. Here, we tested direct and indirect effects of drought on soil microbes and microbial turnover of recent plant\uffe2\uff80\uff90derived C in a mountain meadow.</p>  <p>Microbial community composition was assessed using phospholipid fatty acids (PLFAs); the allocation of recent plant\uffe2\uff80\uff90derived C to microbial groups was analysed by pulse\uffe2\uff80\uff90labelling of canopy sections with 13CO2 and the subsequent tracing of the label into microbial PLFAs.</p>  <p>Microbial biomass was significantly higher in plots exposed to a severe experimental drought. In addition, drought induced a shift of the microbial community composition, mainly driven by an increase of Gram\uffe2\uff80\uff90positive bacteria. Drought reduced belowground C allocation, but not the transfer of recently plant\uffe2\uff80\uff90assimilated C to fungi, and in particular reduced tracer uptake by bacteria. This was accompanied by an increase of 13C in the extractable organic C pool during drought, which was even more pronounced after plots were mown.</p>  <p>We conclude that drought weakened the link between plant and bacterial, but not fungal, C turnover, and facilitated the growth of potentially slow\uffe2\uff80\uff90growing, drought\uffe2\uff80\uff90adapted soil microbes, such as Gram\uffe2\uff80\uff90positive bacteria.</p>  </p>", "keywords": ["Time Factors", "Nitrogen", "Mowing", "Mountain grassland", "Carbon Cycle", "Microbial community composition", "Soil", "Biomass", "Ecosystem", "Soil Microbiology", "2. Zero hunger", "106022 Mikrobiologie", "Carbon Isotopes", "Drought", "Research", "Microbiota", "Water", "Carbon allocation", "Microclimate", "04 agricultural and veterinary sciences", "15. Life on land", "Carbon", "6. Clean water", "Droughts", "C pulse-labelling", "13. Climate action", "Austria", "Phospholipid fatty acids", "106022 Microbiology", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1111/nph.12569"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/nph.12569", "name": "item", "description": "10.1111/nph.12569", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/nph.12569"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-10-31T00:00:00Z"}}, {"id": "10.1155/2013/415318", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:19:06Z", "type": "Journal Article", "created": "2013-12-29", "title": "Responses Of Ecosystem Co2fluxes To Short-Term Experimental Warming And Nitrogen Enrichment In An Alpine Meadow, Northern Tibet Plateau", "description": "<p>Over the past decades, the Tibetan Plateau has experienced  pronounced warming, yet the extent to which warming will affect alpine ecosystems depends on how warming interacts with other influential global change factors, such as nitrogen (N) deposition. A long\uffe2\uff80\uff90term warming and N manipulation experiment was established to investigate the interactive effects of warming and N deposition on alpine meadow. Open\uffe2\uff80\uff90top chambers were used to simulate warming. N addition, warming, N addition \uffc3\uff97 warming, and a control were set up. In OTCs, daytime air and soil temperature were warmed by 2.0\uffc2\uffb0C and 1.6\uffc2\uffb0C above ambient conditions, but soil moisture was decreased by 4.95\uffe2\uff80\uff89m3\uffe2\uff80\uff89m\uffe2\uff88\uff923. N addition enhanced ecosystem respiration (Reco); nevertheless, warming significantly decreased Reco. The decline of Reco resulting from warming was cancelled out by N addition in late growing season. Our results suggested that N addition enhanced Reco by increasing soil N availability and plant production, whereas warming decreased Reco through lowering soil moisture, soil N supply potential,  and suppression of plant activity. Furthermore, season\uffe2\uff80\uff90specific responses of Reco indicated that warming and N deposition caused by future global change may have complicated influence on carbon cycles in alpine ecosystems.</p>", "keywords": ["Technology", "Analysis of Variance", "Nitrogen", "T", "Science", "Climate Change", "Q", "R", "Temperature", "Microclimate", "04 agricultural and veterinary sciences", "Carbon Dioxide", "15. Life on land", "Tibet", "Soil", "13. Climate action", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Biomass", "Ecosystem", "Research Article"]}, "links": [{"href": "https://doi.org/10.1155/2013/415318"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Scientific%20World%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1155/2013/415318", "name": "item", "description": "10.1155/2013/415318", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1155/2013/415318"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-01-01T00:00:00Z"}}, {"id": "10.1371/journal.pone.0155375", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:19:20Z", "type": "Journal Article", "created": "2016-05-12", "title": "Warming And Nitrogen Addition Alter Photosynthetic Pigments, Sugars And Nutrients In A Temperate Meadow Ecosystem", "description": "Global warming and nitrogen (N) deposition have an important influence on terrestrial ecosystems; however, the influence of warming and N deposition on plant photosynthetic products and nutrient cycling in plants is not well understood. We examined the effects of 3 years of warming and N addition on the plant photosynthetic products, foliar chemistry and stoichiometric ratios of two dominant species, i.e., Leymus chinensis and Phragmites communis, in a temperate meadow in northeastern China. Warming significantly increased the chlorophyll content and soluble sugars in L. chinensis but had no impact on the carotenoid and fructose contents. N addition caused a significant increase in the carotenoid and fructose contents. Warming and N addition had little impact on the photosynthetic products of P. communis. Warming caused significant decreases in the N and phosphorus (P) concentrations and significantly increased the carbon (C):P and N:P ratios of L. chinensis, but not the C concentration or the C:N ratio. N addition significantly increased the N concentration, C:P and N:P ratios, but significantly reduced the C:N ratio of L. chinensis. Warming significantly increased P. communis C and P concentrations, and the C:N and C:P ratios, whereas N addition increased the C, N and P concentrations but had no impact on the stoichiometric variables. This study suggests that both warming and N addition have direct impacts on plant photosynthates and elemental stoichiometry, which may play a vital role in plant-mediated biogeochemical cycling in temperate meadow ecosystems.", "keywords": ["0301 basic medicine", "Nitrogen", "Science", "Carbohydrates", "Global Warming", "Soil", "03 medical and health sciences", "Photosynthesis", "Ecosystem", "2. Zero hunger", "Analysis of Variance", "0303 health sciences", "Q", "R", "Temperature", "Humidity", "Phosphorus", "Microclimate", "Pigments", " Biological", "15. Life on land", "Carbon", "Plant Leaves", "Solubility", "13. Climate action", "Medicine", "Research Article"], "contacts": [{"organization": "Jixun Guo, Tao Zhang, Rui Guo, Shaobo Yang,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0155375"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0155375", "name": "item", "description": "10.1371/journal.pone.0155375", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0155375"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-05-12T00:00:00Z"}}, {"id": "10.4141/s98-081", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:05Z", "type": "Journal Article", "created": "2011-04-23", "title": "Effects Of Forest Soil Compaction And Organic Matter Removal On Leaf Litter Decomposition In Central British Columbia", "description": "<p> As part of the long-term soil productivity study in central British Columbia, we examined the effect of soil compaction and organic matter removal on trembling aspen (Populus tremuloides Michx.) litter decomposition. We compared three levels of organic matter removal (stem-only, whole-tree harvest, and scalped mineral soil) and two levels of compaction (no compaction and heavy compaction) in a factorial design replicated as blocks on three sites. Whole-tree harvesting significantly increased litter decomposition rates compared to stem-only (by 36%) and scalped (by 41%) treatments. Soil compaction had inconsistent effects on decomposition rates (k) for forest floor and scalped treatments and, overall, did not significantly affect litter decomposition rates. Litter on scalped plots had higher rates of nutrient translocation than litter on forest floors. We found the treatments altered soil heat sums, so changes in temperatures at the soil surface might be partly responsible for the changes in decomposition rates. We could not detect differences in soil mesofauna populations collected from the litter bags, so treatment effects on fauna probably had less influence than microclimate on decomposition rates. The effects of these early changes in litter decomposition on biological productivity will be part of the ongoing long-term soil productivity study. Key words: Litter decomposition, soil compaction, scalping, whole-tree harvest, nutrient translocation </p>", "keywords": ["0106 biological sciences", "leaf-litter-decomposition: organic-matter-removal", "nutrients-", "Environmental-Sciences)", "01 natural sciences", "harvesting-", "translocation-", "populus-tremuloides", "soil-organic-matter", "Spermatophytes-", "Spermatophyta-", "Angiosperms-", "Angiospermae-", "Plants-", "heat-sums", "04 agricultural and veterinary sciences", "Soil-Science", "British-Columbia (Canada-", "North-America", "Nearctic-region)", "compaction-", "soil-compaction", "decomposition-", "microclimate-", "Vascular-Plants", "poplars-", "forests-", "movement-in-soil", "treatment-", "sustainability-", "Populus-tremuloides [trembling-aspen] (Salicaceae-)", "british-columbia", "Salicaceae-: Dicotyledones-", "land-productivity", "organic-matter", "Plantae-", "forest-litter", "productivity-", "forestry-practices", "forestry-", "mineralization-", "forest-soils", "mineral-soils", "removal-", "15. Life on land", "logging-effects", "Terrestrial-Ecology (Ecology-", "0401 agriculture", " forestry", " and fisheries", "Dicots-", "temperature-", "soil-fauna"], "contacts": [{"organization": "Kranabetter, J.M., Chapman, B.K.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.4141/s98-081"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Canadian%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.4141/s98-081", "name": "item", "description": "10.4141/s98-081", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.4141/s98-081"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1999-11-01T00:00:00Z"}}, {"id": "10.5061/dryad.1g1jwsv29", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:08Z", "type": "Dataset", "created": "2023-06-26", "title": "Summer litter decomposition is moderated by scale-dependent microenvironmental variation in tundra ecosystems", "description": "unspecifiedTundra soils are one of the world\u2019s largest organic carbon stores, yet  this carbon is vulnerable to accelerated decomposition as climate warming  progresses. The landscape-scale controls of litter decomposition are  poorly understood in tundra ecosystems, which hinders our understanding of  the global carbon cycle. We examined the extent to which the thermal sum  of surface air temperature, soil moisture and permafrost thaw depth  influenced litter mass loss and decomposition rates (k), and at which  spatial thresholds an environmental variable becomes a reliable predictor  of decomposition, using the Tea Bag Index protocol across a heterogeneous  tundra landscape on Qikiqtaruk - Herschel Island, Yukon, Canada. We found  greater green tea litter mass loss and faster decomposition rates (k) in  wetter areas within the landscape, and to a lesser extent in areas with  deeper permafrost active layer thickness and higher surface thermal sums.  We also found higher decomposition rates (k) on north-facing relative to  south-facing aspects at microsites that were wetter rather than warmer.  Spatially heterogeneous belowground conditions (soil moisture and active  layer depth) explained variation in decomposition metrics at local scales  (&lt; 50 m2) better than thermal sum. Surprisingly, there was no  strong control of elevation or slope on litter decomposition. Our results  reveal that there is considerable scale dependency in the environmental  controls of tundra litter decomposition, with moisture playing a greater  role than the thermal sum at &lt; 50 m2 scales. Our findings highlight  the importance and complexity of microenvironmental controls on litter  decomposition in estimates of carbon cycling in a rapidly warming tundra  biome.", "keywords": ["Decomposition", "litter", "13. Climate action", "moisture", "ecosystem change", "tea bag index", "Temperature", "Climate change", "carbon cycling", "15. Life on land", "Tundra", "FOS: Natural sciences", "microclimate"], "contacts": [{"organization": "Gallois, Elise", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.1g1jwsv29"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.1g1jwsv29", "name": "item", "description": "10.5061/dryad.1g1jwsv29", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.1g1jwsv29"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-03T00:00:00Z"}}, {"id": "10.5281/zenodo.4277166", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:23:02Z", "type": "Dataset", "title": "Data from: Dwarf shrubs impact tundra soils: drier, colder, and less organic carbon", "description": "In the tundra, woody plants are dispersing towards higher latitudes and altitudes due to increasingly favourable climatic conditions. The coverage and height of woody plants are increasing, which may influence the soils of the tundra ecosystem. Here, we use structural equation modelling to analyse 171 study plots and to examine if the coverage and height of woody plants affect the growing-season topsoil moisture and temperature (&lt; 10 cm) as well as soil organic carbon stocks (&lt; 80 cm). In our study setting, we consider the hierarchy of the ecosystem by controlling for other factors, such as topography, wintertime snow depth and the overall plant coverage that potentially influence woody plants and soil properties in this dwarf-shrub dominated landscape in northern Fennoscandia. We found strong links from topography to both vegetation and soil. Further, we found that woody plants influence multiple soil properties: the dominance of woody plants inversely correlated with soil moisture, soil temperature, and soil organic carbon stocks (standardised regression coefficients = -0.39; -0.22; -0.34, respectively), even when controlling for other landscape features. Our results indicate that the dominance of dwarf shrubs may lead to soils that are drier, colder, and contain less organic carbon. Thus, there are multiple mechanisms through which woody plants may influence tundra soils. Kemppinen, Niittynen, Virkkala, Happonen, Riihim\u00e4ki, Aalto &amp; Luoto (2021). Dwarf shrubs impact tundra soils: drier, colder, and less organic carbon. Ecosystems. These are the data from Kemppinen et al. (2021).", "keywords": ["tundra", "Arctic", "13. Climate action", "carbon cycle", "structural equation model", "15. Life on land", "snow", "shrubification", "microclimate", "dwarf shrubs"], "contacts": [{"organization": "Kemppinen, Julia, Niittynen, Pekka, Virkkala, Anna-Maria, Happonen, Konsta, Riihim\u00e4ki, Henri, Aalto, Juha, Luoto, Miska,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4277166"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4277166", "name": "item", "description": "10.5281/zenodo.4277166", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4277166"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-17T00:00:00Z"}}, {"id": "10.5281/zenodo.6411321", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:23:07Z", "type": "Dataset", "title": "Litter decomposition is moderated by scale-dependent microenvironmental variation in tundra ecosystems", "description": "<strong>QHI_crop.tiff </strong>= We carried out topographic surveys using unoccupied aerial vehicles photogrammetry in August 2017. We used three UAV platforms to collect RGB multispectral data at a fine (3 cm) spatial resolution: DJI Phantom 4 Pro and Advanced (multicopter), and Phantom FX-61 (fixed wing), and used used structure from motion with multiview steriopsis to obtain a fine-grain 10 cm spatial resolution digital surface model and orthomosaic as described in Cunliffe et al. (2019a, 2019b). <strong>thermsum.tif </strong>= We used the microclima package in R (Kearney et al., 2020; Maclean et al., 2019) to model surface air temperature at a 1-m spatial grain. Using our fine resolution DSM, we modelled mean surface temperatures at the study site for each day spanning the teabag burial period of 13th July to 9th August 2017. The microclima model incorporates local daily climate, radiation, cloud cover and coastal exposure data from gridded global datasets derived from RCNEP (Kemp et al., 2012). We summed the 28 TIF files produced through this modelling technique to produce a 28-day thermal sum variable - a metric which captures the overall heating of the ground surface over the course of the experiment. <strong>Cited Works:</strong> Cunliffe, A., I. Myers-Smith. J. Kerby and W. Palmer (2019a). Orthomosaic of permafrost landscape on Qikiqtaruk \u2013 Herschel Island, Yukon, Canada: August 2017. NERC Polar Data Centre. DOI:10.5285/29bf1c9f-a39a-452c-b9f9-de35d9fb9179. Cunliffe, A., G. Tanski, B. Radosavljevic, W. Palmer, T. Sachs, H. Lantuit, J. Kerby, and I. Myers-Smith (2019b) Rapid retreat of permafrost coastline observed with aerial drone photogrammetry. The Cryosphere 13(5):1513-1528. DOI: 10.5194/tc-13-1513-2019. Maclean, I. M. (2020). Predicting future climate at high spatial and temporal resolution. <em>Global Change Biology</em>, <em>26</em>(2), 1003\u20131011. Kearney, M. R., Gillingham, P. K., Bramer, I., Duffy, J. P., &amp; Maclean, I. M. (2020). A method for computing hourly, historical, terrain\u2010corrected microclimate anywhere on Earth. <em>Methods in Ecology and Evolution</em>, <em>11</em>(1), 38-43. Kemp, M. U., Van Loon, E. E., Shamoun-Baranes, J., &amp; Bouten, W. (2012). RNCEP: global weather and climate data at your fingertips. <em>Methods in Ecology &amp; Evolution</em>, <em>3</em>(1), 65-70. <strong>Paper Abstract:</strong> <strong>The Arctic tundra is one of the world\u2019s largest organic carbon stores, yet this carbon is vulnerable to accelerated decomposition as climate warming progresses. We currently know very little about landscape-scale controls of litter decomposition in tundra ecosystems, which hinders our understanding of the global carbon cycle. </strong> <strong>Here, we examined how local-scale topography, surface air temperature, soil moisture and permafrost conditions influenced litter decomposition rates across a heterogeneous tundra landscape on Qikiqtaruk - Herschel Island (Yukon, Canada).</strong> <strong>We used the Tea Bag Index protocol to derive decomposition metrics which we then compared across environmental gradients, including thermal sum surface temperature data derived from fine-resolution microclimate data modelled from drone derived topographic data.</strong> <strong>We found greater green tea litter mass loss and faster decomposition rates in wetter and warmer areas within the landscape, and to a lesser extent in areas with deeper permafrost active layer thickness.</strong> <strong>Spatially heterogeneous belowground conditions (soil moisture and active layer depth) explained variation in decomposition metrics at the landscape-scale (&gt; 10 m) better than surface temperature.</strong> <strong>Surprisingly, there was no strong control of elevation or slope of litter decomposition. We also found higher decomposition rates on North-facing relative to South-facing aspects at microsites that were wetter rather than warmer.</strong>", "keywords": ["dsm", "decomposition", "13. Climate action", "microclima", "15. Life on land", "thermal sum", "microclimate"], "contacts": [{"organization": "Gallois, Elise, Myers-Smith, Isla, Daskalova, Gergana, Kerby, Jeffrey, Thomas, Haydn, Cunliffe, Andrew,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6411321"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6411321", "name": "item", "description": "10.5281/zenodo.6411321", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6411321"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-14T00:00:00Z"}}, {"id": "10532/6053", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:29Z", "type": "Journal Article", "created": "2022-08-05", "title": "Effects of herbaceous covers and mineral fertilizers on the nutrient stocks and fluxes in a Mediterranean olive grove", "description": "The preservation of nutrient capital, soil fertility, and carbon (C) sequestration capacity in Mediterranean olive groves requires evaluation of agricultural practices beyond short-term productivity. We aim to contribute with a mechanistic understanding on the effects that the preservation of herbaceous cover and the use of chemical fertilizers have on the performance of olive trees and on the biogeochemical cycles of the agroecosystem. We compared nutrient fluxes and aboveground leafy stocks in an olive grove that had been organically managed for more than 60 years, in a treatment in which the annual spontaneous herbaceous cover was maintained (H), and after two years of shift to conventional management treatments in which the growth of herbaceous vegetation was avoided by the use of herbicides (NH), and where exclusion of the herbaceous cover is also combined with the supply of mineral fertilizers (NHF). Maintenance of herbaceous vegetation in H contributed to the retention of a high aboveground capital of C and nutrients, particularly nitrogen, (N), phosphorus (P) and potassium (K) that were about 2.9, 3.9 and 7.4 times greater than in NH, respectively. The permanence of herbaceous cover stimulated olive tree leaf litter decomposition rates by about 86 % and increased nutrient release. However, the H treatment led to a 37 % decrease in olive yield and lowered olive foliar N and P content as negative short-term effects. The addition of fertilizers (N, P, K, and Mg) in mineral and solid form in NHF resulted inefficient to improve olive tree nutritional status and olive production, and decelerated olive tree litter decomposition rates by 21 % and nutrient release. The nutrient retention in organic forms in the fast-growing species of herbaceous covers and the progressive nutrient release as litter decomposes may contribute to regulate and better adapt nutrient availability to the nutrient requirements of olive trees.", "keywords": ["2. Zero hunger", "Agroecosistemas", "Cubierta vegetal", "Agroecosystem", "Litter decomposition", "Sustainable agriculture", "Microclimate amelioration", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Agricultura sostenible", "Nutritional status", "Weed cover", "13. Climate action", "Olive production", "Abonos inorg\u00e1nicos", "0401 agriculture", " forestry", " and fisheries", "Olea europaea", "Hojarasca", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10532/6053"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10532/6053", "name": "item", "description": "10532/6053", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10532/6053"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-01T00:00:00Z"}}, {"id": "10017/50911", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:10Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0&#8211;5 and 5&#8211;15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\u00b0C (mean = 3.0 \u00b1 2.1\u00b0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 \u00b1 2.3\u00b0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (&#8722;0.7 \u00b1 2.3\u00b0C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["13. Climate action", "Bioclimatic variables", "Global maps", "Soil temperature", "Temperature offset", "Weather stations", "Geology", "Geolog\u00eda", "Microclimate", "15. Life on land", "Near-surface temperatures", "Soil-dwelling organisms"], "contacts": [{"organization": "Pablo Hern\u00e1ndez, Miguel \u00c1ngel de", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10017/50911"}, {"rel": "self", "type": "application/geo+json", "title": "10017/50911", "name": "item", "description": "10017/50911", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10017/50911"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-29T00:00:00Z"}}, {"id": "10449/74200", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:26Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0\u20135 and 5\u201315 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\u00b0C (mean = 3.0 \u00b1 2.1\u00b0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 \u00b1 2.3\u00b0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (\u22120.7 \u00b1 2.3\u00b0C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["Bioclimatic variables", "Global maps", "Soil temperature", "Temperature offset", "Weather stations", "Microclimate", "Near-surface temperatures", "Soil-dwelling organisms"]}, "links": [{"href": "https://openpub.fmach.it/bitstream/10449/74200/1/Global%20Change%20Biology%20-%202022%20-%20Lembrechts%20-%20Global%20maps%20of%20soil%20temperature.pdf"}, {"href": "https://doi.org/10449/74200"}, {"rel": "self", "type": "application/geo+json", "title": "10449/74200", "name": "item", "description": "10449/74200", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10449/74200"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10481/73202", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:27Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Atribuci\u00f3n-NoComercial 3.0 Espa\u00f1aResearch in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0\u20135 and 5\u201315 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 p ixels ( summarized f rom 8 519 u nique t emperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\u00b0C (mean = 3.0 \u00b1 2.1\u00b0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 \u00b1 2.3\u00b0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (\u22120.7 \u00b1 2.3\u00b0C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["Bioclimatic variables", "Global maps", "Soil temperature", "Temperature offset", "Weather stations", "Microclimate", "Near-surface temperatures", "Soil-dwelling organisms"], "contacts": [{"organization": "Lembrechts, Jonas J., Fern\u00e1ndez Calzado, Mar\u00eda Rosa, Lorite Moreno, Juan,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10481/73202"}, {"rel": "self", "type": "application/geo+json", "title": "10481/73202", "name": "item", "description": "10481/73202", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10481/73202"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-08T00:00:00Z"}}, {"id": "10481/77379", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:27Z", "type": "Journal Article", "created": "2022-08-05", "title": "Effects of herbaceous covers and mineral fertilizers on the nutrient stocks and fluxes in a Mediterranean olive grove", "description": "The preservation of nutrient capital, soil fertility, and carbon (C) sequestration capacity in Mediterranean olive groves requires evaluation of agricultural practices beyond short-term productivity. We aim to contribute with a mechanistic understanding on the effects that the preservation of herbaceous cover and the use of chemical fertilizers have on the performance of olive trees and on the biogeochemical cycles of the agroecosystem. We compared nutrient fluxes and aboveground leafy stocks in an olive grove that had been organically managed for more than 60 years, in a treatment in which the annual spontaneous herbaceous cover was maintained (H), and after two years of shift to conventional management treatments in which the growth of herbaceous vegetation was avoided by the use of herbicides (NH), and where exclusion of the herbaceous cover is also combined with the supply of mineral fertilizers (NHF). Maintenance of herbaceous vegetation in H contributed to the retention of a high aboveground capital of C and nutrients, particularly nitrogen, (N), phosphorus (P) and potassium (K) that were about 2.9, 3.9 and 7.4 times greater than in NH, respectively. The permanence of herbaceous cover stimulated olive tree leaf litter decomposition rates by about 86 % and increased nutrient release. However, the H treatment led to a 37 % decrease in olive yield and lowered olive foliar N and P content as negative short-term effects. The addition of fertilizers (N, P, K, and Mg) in mineral and solid form in NHF resulted inefficient to improve olive tree nutritional status and olive production, and decelerated olive tree litter decomposition rates by 21 % and nutrient release. The nutrient retention in organic forms in the fast-growing species of herbaceous covers and the progressive nutrient release as litter decomposes may contribute to regulate and better adapt nutrient availability to the nutrient requirements of olive trees.", "keywords": ["2. Zero hunger", "Agroecosystem", "Litter decomposition", "Sustainable agriculture", "Microclimate amelioration", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Nutritional status", "Weed cover", "13. Climate action", "Olive production", "0401 agriculture", " forestry", " and fisheries", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10481/77379"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10481/77379", "name": "item", "description": "10481/77379", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10481/77379"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-01T00:00:00Z"}}, {"id": "11584/332967", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:40Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2&nbsp;m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0\u20135 and 5\u201315&nbsp;cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\u00b0C (mean&nbsp;=&nbsp;3.0&nbsp;\u00b1&nbsp;2.1\u00b0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6&nbsp;\u00b1&nbsp;2.3\u00b0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (\u22120.7&nbsp;\u00b1&nbsp;2.3\u00b0C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["Bioclimatic variables; Global maps; Microclimate; Near-surface temperatures; Soil temperature; Soil-dwelling organisms; Temperature offset; Weather stations; Climate change; Temperature; Ecosystem; Soil"], "contacts": [{"organization": "Lembrechts J. J., van den Hoogen J., Aalto J., Ashcroft M. B., De Frenne P., Kemppinen J., Kopecky M., Luoto M., Maclean I. M. D., Crowther T. W., Bailey J. J., Haesen S., Klinges D. H., Niittynen P., Scheffers B. R., Van Meerbeek K., Aartsma P., Abdalaze O., Abedi M., Aerts R., Ahmadian N., Ahrends A., Alatalo J. M., Alexander J. M., Allonsius C. N., Altman J., Ammann C., Andres C., Andrews C., Ardo J., Arriga N., Arzac A., Aschero V., Assis R. L., Assmann J. J., Bader M. Y., Bahalkeh K., Barancok P., Barrio I. C., Barros A., Barthel M., Basham E. W., Bauters M., Bazzichetto M., Marchesini L. B., Bell M. C., Benavides J. C., Benito Alonso J. L., Berauer B. J., Bjerke J. W., Bjork R. G., Bjorkman M. P., Bjornsdottir K., Blonder B., Boeckx P., Boike J., Bokhorst S., Brum B. N. S., Bruna J., Buchmann N., Buysse P., Camargo J. L., Campoe O. C., Candan O., Canessa R., Cannone N., Carbognani M., Carnicer J., Casanova-Katny A., Cesarz S., Chojnicki B., Choler P., Chown S. L., Cifuentes E. F., Ciliak M., Contador T., Convey P., Cooper E. J., Cremonese E., Curasi S. R., Curtis R., Cutini M., Dahlberg C. J., Daskalova G. N., de Pablo M. A., Della Chiesa S., Dengler J., Deronde B., Descombes P., Di Cecco V., Di Musciano M., Dick J., Dimarco R. D., Dolezal J., Dorrepaal E., Dusek J., Eisenhauer N., Eklundh L., Erickson T. E., Erschbamer B., Eugster W., Ewers R. M., Exton D. A., Fanin N., Fazlioglu F., Feigenwinter I., Fenu G., Ferlian O., Fernandez Calzado M. R., Fernandez-Pascual E., Finckh M., Higgens R. F., Forte T. G. W., Freeman E. C., Frei E. R., Fuentes-Lillo E., Garcia R. A., Garcia M. B., Geron C., Gharun M., Ghosn D., Gigauri K., Gobin A., Goded I., Goeckede M., Gottschall F., Goulding K., Govaert S., Graae B. J., Greenwood S., Greiser C., Grelle A., Guenard B., Guglielmin M., Guillemot J., Haase P., Haider S., Halbritter A. H., Hamid M., Hammerle A., Hampe A., Haugum S. V., Hederova L., Heinesch B., Helfter C., Hepenstrick D., Herberich M., Herbst M., Hermanutz L., Hik D. S., Hoffren R., Homeier J., Hortnagl L., Hoye T. T., Hrbacek F., Hylander K., Iwata H., Jackowicz-Korczynski M. A., Jactel H., Jarveoja J., Jastrzebowski S., Jentsch A., Jimenez J. J., Jonsdottir I. S., Jucker T., Jump A. S., Juszczak R., Kanka R., Kaspar V., Kazakis G., Kelly J., Khuroo A. A., Klemedtsson L., Klisz M., Kljun N., Knohl A., Kobler J., Kollar J., Kotowska M. M., Kovacs B., Kreyling J., Lamprecht A., Lang S. I., Larson C., Larson K., Laska K., le Maire G., Leihy R. I., Lens L., Liljebladh B., Lohila A., Lorite J., Loubet B., Lynn J., Macek M., Mackenzie R., Magliulo E., Maier R., Malfasi F., Malis F.,", "roles": ["creator"]}]}, "links": [{"href": "https://iris.unica.it/bitstream/11584/332967/1/2022_Global_maps_soil_temperature_GlobalChangeBiology.pdf"}, {"href": "https://doi.org/11584/332967"}, {"rel": "self", "type": "application/geo+json", "title": "11584/332967", "name": "item", "description": "11584/332967", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11584/332967"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "1295b9994deae0387c2be67c1d753988", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:43Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0\u20135 and 5\u201315 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\u00b0C (mean = 3.0 \u00b1 2.1\u00b0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 \u00b1 2.3\u00b0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (\u22120.7 \u00b1 2.3\u00b0C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["near-surface temperatures", "bioclimatic variables", "soil temperature", "temperature offset", "global maps", "soil-dwelling organisms", "weather stations", "microclimate", "Climate Science", "Klimatvetenskap"], "contacts": [{"organization": "Lembrechts, Jonas J., van den Hoogen, Johan, Dorrepaal, Ellen, Larson, Keith, Sarneel, Judith M., Walz, Josefine, Nijs, Ivan, Lenoir, Jonathan,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/1295b9994deae0387c2be67c1d753988"}, {"rel": "self", "type": "application/geo+json", "title": "1295b9994deae0387c2be67c1d753988", "name": "item", "description": "1295b9994deae0387c2be67c1d753988", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1295b9994deae0387c2be67c1d753988"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "1854/LU-8743335", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:49Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km(2) resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km(2) pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10 degrees C (mean = 3.0 +/- 2.1 degrees C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 +/- 2.3 degrees C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 +/- 2.3 degrees C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["Technology and Engineering", "soil temperature", "Biology and Life Sciences", "soil-dwelling organisms", "SNOW-COVER", "MITIGATION", "MOISTURE", "FOREST", "weather stations", "LITTER DECOMPOSITION", "PERMAFROST", "near-surface temperatures", "PLANT-RESPONSES", "bioclimatic variables", "CLIMATIC CONTROLS", "Earth and Environmental Sciences", "temperature offset", "SUITABILITY", "global maps", "MICROCLIMATE", "CBCE", "microclimate"]}, "links": [{"href": "https://doi.org/1854/LU-8743335"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8743335", "name": "item", "description": "1854/LU-8743335", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8743335"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "1893/33794", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:51Z", "type": "Journal Article", "created": "2021-12-30", "title": "Global maps of soil temperature", "description": "Abstract<p>Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2\uffc2\uffa0m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1\uffe2\uff80\uff90km2resolution for 0\uffe2\uff80\uff935 and 5\uffe2\uff80\uff9315\uffc2\uffa0cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1\uffe2\uff80\uff90km2pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse\uffe2\uff80\uff90grained air temperature estimates from ERA5\uffe2\uff80\uff90Land (an atmospheric reanalysis by the European Centre for Medium\uffe2\uff80\uff90Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\uffc2\uffb0C (mean\uffc2\uffa0=\uffc2\uffa03.0\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.1\uffc2\uffb0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.3\uffc2\uffb0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (\uffe2\uff88\uff920.7\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.3\uffc2\uffb0C). The observed substantial and biome\uffe2\uff80\uff90specific offsets emphasize that the projected impacts of climate and climate change on near\uffe2\uff80\uff90surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil\uffe2\uff80\uff90related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.</p", "keywords": ["0106 biological sciences", "Bioclimatic variables; Global maps; Microclimate; Near-surface temperatures; Soil temperature; Soil-dwelling organisms; Temperature offset; Weather stations; Climate change; Temperature; Ecosystem; Soil", "791", "550", ":Zoology and botany: 480 [VDP]", "VDP::Zoologiske og botaniske fag: 480", "551", "Q1", "7. Clean energy", "01 natural sciences", "41 Environmental sciences", "Global map", "SDG 13 - Climate Action", "Soil temperature", "MICROCLIMATE", "bepress|Physical Sciences and Mathematics|Environmental Sciences", "soil-dwelling organism", "bioclimatic variables; global maps; microclimate; near-surface temperatures; soil temperature; soil-dwelling organisms; temperature offset; weather stations", "weather station", "GB", "http://aims.fao.org/aos/agrovoc/c_34836", "Geology", "16. Peace & justice", "Settore BIOS-01/C - Botanica ambientale e applicata", "6. Clean water", "Near-surface soil temperature", "international", "[SDE]Environmental Sciences", "551: Geologie und Hydrologie", "Near-surface temperature", "Near-surface temperatures", "soil temperature", "P40 - M\u00e9t\u00e9orologie et climatologie", "577", "bepress|Physical Sciences and Mathematics|Earth Sciences", "MITIGATION", "bepress|Life Sciences|Ecology and Evolutionary Biology", "12. Responsible consumption", "near-surface temperatures", "bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology|Climate", "bioclimatic variables", "Bioclimatic variables", "Settore BIO/07 - ECOLOGIA", "temperature offset", "global maps", "http://aims.fao.org/aos/agrovoc/c_1344", "577: \u00d6kologie", "global map", "Biology", "Ecosystem", "Ekologi", "http://aims.fao.org/aos/agrovoc/c_24894", "Science & Technology", "ddc:550", "9. Industry and infrastructure", "31 Biological sciences", "Biology and Life Sciences", "Microclimate", "06 Biological Sciences", "15. Life on land", "weather stations", "bepress|Physical Sciences and Mathematics|Environmental Sciences|Environmental Monitoring", "900", "cartographie", "microclimate", "Klimatvetenskap", "[SDE] Environmental Sciences", "Biodiversity & Conservation", "05 Environmental Sciences", "Weather stations", "Temperature offset", "Plan_S-Compliant-OA", "Soil", "bepress|Life Sciences", "Geolog\u00eda", "Research Articles", "info:eu-repo/classification/ddc/570", "changement climatique", "Ecology", "zone climatique", "4. Education", "Temperature", "Biological Sciences", "bioclimatologie", "FOREST", "Weather station", "Chemistry", "Biodiversity Conservation", "Life Sciences & Biomedicine", "bepress|Physical Sciences and Mathematics", "Technology and Engineering", "http://aims.fao.org/aos/agrovoc/c_1669", "bioclimatic variable", "Climate Change", "soil-dwelling organisms", "Environmental Sciences & Ecology", "MOISTURE", "LITTER DECOMPOSITION", "PERMAFROST", "near-surface temperature", "temp\u00e9rature du sol", "bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology", "SUITABILITY", "G1", "VDP::Mathematics and natural scienses: 400::Zoology and botany: 480", "Global maps", "http://aims.fao.org/aos/agrovoc/c_1666", ":Zoologiske og botaniske fag: 480 [VDP]", "Soil-dwelling organisms", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "r\u00e9chauffement global", "Climate Change; Ecosystem; Microclimate; Soil; Temperature; bioclimatic variables; global maps; microclimate; near-surface temperatures; soil temperature; soil-dwelling organisms; temperature offset; weather stations", "http://aims.fao.org/aos/agrovoc/c_9260", "P30 - Sciences et am\u00e9nagement du sol", "Aquatic Ecology", "Bioclimatic variable", "SNOW-COVER", "Climate Science", "37 Earth sciences", "Climate Action", "bepress|Physical Sciences and Mathematics|Earth Sciences|Soil Science", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "Earth sciences", "variation saisonni\u00e8re", "PLANT-RESPONSES", "CLIMATIC CONTROLS", "Soil-dwelling organism", "Settore BIOS-05/A - Ecologia", "13. Climate action", "Earth and Environmental Sciences", "VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480", "VDP::Zoology and botany: 480", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "CBCE", "http://aims.fao.org/aos/agrovoc/c_7197", "Environmental Sciences"]}, "links": [{"href": "https://ray.yorksj.ac.uk/id/eprint/5803/1/20211222_SoilTemp_maps_preformatted.pdf"}, {"href": "http://dspace.stir.ac.uk/bitstream/1893/33794/1/Lembrechts-etal-GCB-2022.pdf"}, {"href": "https://eprints.whiterose.ac.uk/183991/1/Global%20Change%20Biology%20-%202022%20-%20Lembrechts%20-%20Global%20maps%20of%20soil%20temperature.pdf"}, {"href": "https://iris.cnr.it/bitstream/20.500.14243/445619/1/prod_462419-doc_189996.pdf"}, {"href": "https://openpub.fmach.it/bitstream/10449/74200/1/Global%20Change%20Biology%20-%202022%20-%20Lembrechts%20-%20Global%20maps%20of%20soil%20temperature.pdf"}, {"href": "https://iris.unica.it/bitstream/11584/332967/1/2022_Global_maps_soil_temperature_GlobalChangeBiology.pdf"}, {"href": "https://ricerca.univaq.it/bitstream/11697/178559/2/Global%20Change%20Biology%20-%202022%20-%20Lembrechts%20-%20Global%20maps%20of%20soil%20temperature.pdf"}, {"href": "https://vb.gamtc.lt/object/elaba:126634244/126634244.pdf"}, {"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.16060"}, {"href": "https://escholarship.org/content/qt6hg3313z/qt6hg3313z.pdf"}, {"href": "https://doi.org/1893/33794"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1893/33794", "name": "item", "description": "1893/33794", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1893/33794"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-21T00:00:00Z"}}, {"id": "20.500.14243/445619", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:05Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e., offset) between in-situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8500 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\u00b0C (mean = 3.0 \u00b1 2.1\u00b0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 \u00b1 2.3\u00b0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 \u00b1 2.3\u00b0C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in-situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["near-surface temperatures", "bioclimatic variables", "soil temperature", "temperature offset", "global maps", "soil-dwelling organisms", "weather stations", "microclimate"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/445619/1/prod_462419-doc_189996.pdf"}, {"href": "https://doi.org/20.500.14243/445619"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.14243/445619", "name": "item", "description": "20.500.14243/445619", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.14243/445619"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "23546339ad735a64e55426484b88fe14", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:17Z", "type": "Report", "title": "Global maps of soil temperature.", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km &lt;sup&gt;2&lt;/sup&gt; resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km &lt;sup&gt;2&lt;/sup&gt; pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\u00b0C (mean = 3.0 \u00b1 2.1\u00b0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 \u00b1 2.3\u00b0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 \u00b1 2.3\u00b0C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["Climate Change; Ecosystem; Microclimate; Soil; Temperature; bioclimatic variables; global maps; microclimate; near-surface temperatures; soil temperature; soil-dwelling organisms; temperature offset; weather stations"], "contacts": [{"organization": "Lembrechts, J.J., van den Hoogen, J., Aalto, J., Ashcroft, M.B., De Frenne, P., Kemppinen, J., Kopeck\u00fd, M., Luoto, M., Maclean, IMD, Crowther, T.W., Bailey, J.J., Haesen, S., Klinges, D.H., Niittynen, P., Scheffers, B.R., Van Meerbeek, K., Aartsma, P., Abdalaze, O., Abedi, M., Aerts, R., Ahmadian, N., Ahrends, A., Alatalo, J.M., Alexander, J.M., Allonsius, C.N., Altman, J., Ammann, C., Andres, C., Andrews, C., Ard\u00f6, J., Arriga, N., Arzac, A., Aschero, V., Assis, R.L., Assmann, J.J., Bader, M.Y., Bahalkeh, K., Baran\u010dok, P., Barrio, I.C., Barros, A., Barthel, M., Basham, E.W., Bauters, M., Bazzichetto, M., Marchesini, L.B., Bell, M.C., Benavides, J.C., Benito Alonso, J.L., Berauer, B.J., Bjerke, J.W., Bj\u00f6rk, R.G., Bj\u00f6rkman, M.P., Bj\u00f6rnsd\u00f3ttir, K., Blonder, B., Boeckx, P., Boike, J., Bokhorst, S., Brum, BNS, Br\u016fna, J., Buchmann, N., Buysse, P., Camargo, J.L., Campoe, O.C., Candan, O., Canessa, R., Cannone, N., Carbognani, M., Carnicer, J., Casanova-Katny, A., Cesarz, S., Chojnicki, B., Choler, P., Chown, S.L., Cifuentes, E.F., \u010ciliak, M., Contador, T., Convey, P., Cooper, E.J., Cremonese, E., Curasi, S.R., Curtis, R., Cutini, M., Dahlberg, C.J., Daskalova, G.N., de Pablo, M.A., Della Chiesa, S., Dengler, J., Deronde, B., Descombes, P., Di Cecco, V., Di Musciano, M., Dick, J., Dimarco, R.D., Dolezal, J., Dorrepaal, E., Du\u0161ek, J., Eisenhauer, N., Eklundh, L., Erickson, T.E., Erschbamer, B., Eugster, W., Ewers, R.M., Exton, D.A., Fanin, N., Fazlioglu, F., Feigenwinter, I., Fenu, G., Ferlian, O., Fern\u00e1ndez Calzado, M.R., Fern\u00e1ndez-Pascual, E., Finckh, M., Higgens, R.F., Forte, TGW, Freeman, E.C., Frei, E.R., Fuentes-Lillo, E., Garc\u00eda, R.A., Garc\u00eda, M.B., G\u00e9ron, C., Gharun, M., Ghosn, D., Gigauri, K., Gobin, A., Goded, I., Goeckede, M., Gottschall, F., Goulding, K., Govaert, S., Graae, B.J., Greenwood, S., Greiser, C., Grelle, A., Gu\u00e9nard, B., Guglielmin, M., Guillemot, J., Haase, P., Haider, S., Halbritter, A.H., Hamid, M., Hammerle, A., Hampe, A., Haugum, S.V., Hederov\u00e1, L., Heinesch, B., Helfter, C., Hepenstrick, D., Herberich, M., Herbst, M., Hermanutz, L., Hik, D.S., Hoffr\u00e9n, R., Homeier, J., H\u00f6rtnagl, L., H\u00f8ye, T.T., Hrbacek, F., Hylander, K., Iwata, H., Jackowicz-Korczynski, M.A., Jactel, H., J\u00e4rveoja, J., Jastrz\u0119bowski, S., Jentsch, A., Jim\u00e9nez, J.J., J\u00f3nsd\u00f3ttir, I.S., Jucker, T., Jump, A.S., Juszczak, R., Kanka, R., Ka\u0161par, V., Kazakis, G., Kelly, J., Khuroo, A.A., Klemedtsson, L., Klisz, M., Kljun, N., Knohl, A., Kobler, J., Koll\u00e1r, J., Kotowska, M.M., Kov\u00e1cs, B., Kreyling, J., Lamprecht, A., Lang, S.I., Larson, C., Larson, K., Laska, K., le Maire, G., Leihy, R.I., Lens, L., Liljebladh, B., Lohila, A., Lorite, J., Loubet, B., Lynn, J., Macek, M., Mackenzie, R., Magliulo, E., Maier, R., Malfasi, F., M\u00e1li\u0161, F.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/23546339ad735a64e55426484b88fe14"}, {"rel": "self", "type": "application/geo+json", "title": "23546339ad735a64e55426484b88fe14", "name": "item", "description": "23546339ad735a64e55426484b88fe14", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/23546339ad735a64e55426484b88fe14"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-01T00:00:00Z"}}, {"id": "50|core_ac_uk__::a26ef428f914921fdee6852647f58483", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:26:17Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km\u00b2 resolution for 0\u20135 and 5\u201315 cm soil depth. These maps were created by calculating the difference (i.e., offset) between in-situ soil temperature measurements, based on time series from over 1200 1-km\u00b2 pixels (summarized from 8500 unique temperature sensors) across all the world\u2019s major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\u00b0C (mean = 3.0 \u00b1 2.1\u00b0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 \u00b1 2.3\u00b0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 \u00b1 2.3\u00b0C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in-situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["near-surface temperatures", "bioclimatic variables", "soil temperature", "13. Climate action", "temperature offset", "global maps", "soil-dwelling organisms", "15. Life on land", "weather stations", "microclimate"], "contacts": [{"organization": "Lembrechts, Jonas J, van den Hoogen, Johan, Aalto, Juha, Ashcroft, Michael B, De Frenne, Pieter, Kemppinen, Julia, Kopeck\u00fd, Martin, Luoto, Miska, Maclean, Ilya M D, Crowther, Thomas W, Bailey, Joseph J, Haesen, Stef, Klinges, David H, Niittynen, Pekka, Jump, Alistair S.,", "roles": ["creator"]}]}, "links": [{"href": "http://dspace.stir.ac.uk/bitstream/1893/33794/1/Lembrechts-etal-GCB-2022.pdf"}, {"href": "https://doi.org/50|core_ac_uk__::a26ef428f914921fdee6852647f58483"}, {"rel": "self", "type": "application/geo+json", "title": "50|core_ac_uk__::a26ef428f914921fdee6852647f58483", "name": "item", "description": "50|core_ac_uk__::a26ef428f914921fdee6852647f58483", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|core_ac_uk__::a26ef428f914921fdee6852647f58483"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-01T00:00:00Z"}}, {"id": "50|od______3272::ba0a390ff7222134dc20acc64f02e995", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:26:20Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0\u20135 and 5\u201315 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\u00b0C (mean = 3.0 \u00b1 2.1\u00b0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 \u00b1 2.3\u00b0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (\u22120.7 \u00b1 2.3\u00b0C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["near-surface temperatures", "bioclimatic variables", "soil temperature", "13. Climate action", "temperature offset", "global maps", "soil-dwelling organisms", "15. Life on land", "weather stations", "microclimate"], "contacts": [{"organization": "Lembrechts, J. J., Hoogen, J. van den, Aalto, J., Ashcroft, M. B., Frenne, P. de, Kemppinen, J., Kopecky, M., Luoto, M., Maclean, I. M. D., Mu\u00f1oz Rojas, Miriam,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/50|od______3272::ba0a390ff7222134dc20acc64f02e995"}, {"rel": "self", "type": "application/geo+json", "title": "50|od______3272::ba0a390ff7222134dc20acc64f02e995", "name": "item", "description": "50|od______3272::ba0a390ff7222134dc20acc64f02e995", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|od______3272::ba0a390ff7222134dc20acc64f02e995"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-11T00:00:00Z"}}, {"id": "50|od_______325::2ec7e67709250f86d148c85d898647d7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:26:21Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2&nbsp;m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0-5 and 5-15&nbsp;cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\u00b0C (mean&nbsp;=&nbsp;3.0&nbsp;\u00b1&nbsp;2.1\u00b0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6&nbsp;\u00b1&nbsp;2.3\u00b0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7&nbsp;\u00b1&nbsp;2.3\u00b0C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["soil temperature", "Ecology", "Climate Change", "Temperature", "soil-dwelling organisms", "Microclimate", "Biological Sciences", "weather stations", "Climate Action", "Soil", "near-surface temperatures", "bioclimatic variables", "temperature offset", "global maps", "Ecosystem", "microclimate", "Environmental Sciences"], "contacts": [{"organization": "Lembrechts, Jonas J, Hoogen, Johan, Aalto, Juha, Ashcroft, Michael B, De Frenne, Pieter, Kemppinen, Julia, Kopeck\u00fd, Martin, Luoto, Miska, Maclean, Ilya MD, Crowther, Thomas W, Bailey, Joseph J, Haesen, Stef, Klinges, David H, Niittynen, Pekka, Scheffers, Brett R, Van Meerbeek, Koenraad, Aartsma, Peter, Abdalaze, Otar, Abedi, Mehdi, Aerts, Rien, Ahmadian, Negar, Ahrends, Antje, Alatalo, Juha M, Alexander, Jake M, Allonsius, Camille Nina, Altman, Jan, Ammann, Christof, Andres, Christian, Andrews, Christopher, Ard\u00f6, Jonas, Arriga, Nicola, Arzac, Alberto, Aschero, Valeria, Assis, Rafael L, Assmann, Jakob Johann, Bader, Maaike Y, Bahalkeh, Khadijeh, Baran\u010dok, Peter, Barrio, Isabel C, Barros, Agustina, Barthel, Matti, Basham, Edmund W, Bauters, Marijn, Bazzichetto, Manuele, Marchesini, Luca Belelli, Bell, Michael C, Benavides, Juan C, Alonso, Jos\u00e9 Luis Benito, Berauer, Bernd J, Bjerke, Jarle W, Bj\u00f6rk, Robert G, Bj\u00f6rkman, Mats P, Bj\u00f6rnsd\u00f3ttir, Katrin, Blonder, Benjamin, Boeckx, Pascal, Boike, Julia, Bokhorst, Stef, Brum, B\u00e1rbara NS, Br\u016fna, Josef, Buchmann, Nina, Buysse, Pauline, Camargo, Jos\u00e9 Lu\u00eds, Campoe, Ot\u00e1vio C, Candan, Onur, Canessa, Rafaella, Cannone, Nicoletta, Carbognani, Michele, Carnicer, Jofre, Casanova\u2010Katny, Ang\u00e9lica, Cesarz, Simone, Chojnicki, Bogdan, Choler, Philippe, Chown, Steven L, Cifuentes, Edgar F, \u010ciliak, Marek, Contador, Tamara, Convey, Peter, Cooper, Elisabeth J, Cremonese, Edoardo, Curasi, Salvatore R, Curtis, Robin, Cutini, Maurizio, Dahlberg, C Johan, Daskalova, Gergana N, de Pablo, Miguel Angel, Della Chiesa, Stefano, Dengler, J\u00fcrgen, Deronde, Bart, Descombes, Patrice, Di Cecco, Valter, Di Musciano, Michele, Dick, Jan, Dimarco, Romina D, Dolezal, Jiri, Dorrepaal, Ellen, Du\u0161ek, Ji\u0159\u00ed, Eisenhauer, Nico, Eklundh, Lars, Erickson, Todd E, Erschbamer, Brigitta,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/50|od_______325::2ec7e67709250f86d148c85d898647d7"}, {"rel": "self", "type": "application/geo+json", "title": "50|od_______325::2ec7e67709250f86d148c85d898647d7", "name": "item", "description": "50|od_______325::2ec7e67709250f86d148c85d898647d7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|od_______325::2ec7e67709250f86d148c85d898647d7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-01T00:00:00Z"}}, {"id": "50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:26:21Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km(2) resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km(2) pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10 degrees C (mean = 3.0 +/- 2.1 degrees C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 +/- 2.3 degrees C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 +/- 2.3 degrees C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["Technology and Engineering", "soil temperature", "Biology and Life Sciences", "soil-dwelling organisms", "SNOW-COVER", "MITIGATION", "MOISTURE", "FOREST", "weather stations", "LITTER DECOMPOSITION", "PERMAFROST", "near-surface temperatures", "PLANT-RESPONSES", "bioclimatic variables", "CLIMATIC CONTROLS", "Earth and Environmental Sciences", "temperature offset", "SUITABILITY", "global maps", "MICROCLIMATE", "CBCE", "microclimate"]}, "links": [{"href": "https://doi.org/50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b"}, {"rel": "self", "type": "application/geo+json", "title": "50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b", "name": "item", "description": "50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "4bf5ad40-2b1e-47c2-85b5-da2e42335532", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[14.12, 52.51], [14.12, 52.53], [14.14, 52.53], [14.14, 52.51], [14.12, 52.51]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Fusarium sporotrichioides"}, {"id": "Fusarium"}, {"id": "Fusarium culmorum"}, {"id": "Fusarium equiseti"}, {"id": "winter wheat"}, {"id": "grass weeds"}, {"id": "Lolium hybridum"}, {"id": "Lolium multiflorum"}, {"id": "pathogenic fungi"}, {"id": "mycotoxins"}, {"id": "trichothecenes"}, {"id": "zearalenone"}, {"id": "irrigation"}, {"id": "microclimate"}, {"id": "agricultural sciences"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}, {"id": "Lebensr\u00e4ume und Biotope"}, {"id": "Verteilung der Arten"}, {"id": "Bodenbedeckung"}, {"id": "Landwirtschaft"}, {"id": "Wissenschaftliche Forschung"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "M\u00e4rkisch Oderland"}, {"id": "M\u00fcncheberg"}], "scheme": "individual"}], "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 Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung 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 Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-11-23", "type": "Dataset", "created": "2023-07-20", "language": "eng", "title": "Fusarium abundance and diversity and Alternaria abundance on grasses and wheat ears after the infection with Fusarium graminearum, Fusarium culmorum and Fusarium sporotrichioides with and without irrigation       - Mycotoxin content of the harvest samples", "description": "The table shows the concentrations of the mycotoxins deoxynivalenol DON and zearalenone ZEA in the wheat crop samples at the different transect points. \n\nGeneral description see mother table: (https://doi.org/10.4228/zalf-58e8-wm91); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Fusarium sporotrichioides", "Fusarium", "Fusarium culmorum", "Fusarium equiseti", "winter wheat", "grass weeds", "Lolium hybridum", "Lolium multiflorum", "pathogenic fungi", "mycotoxins", "trichothecenes", "zearalenone", "irrigation", "microclimate", "agricultural sciences", "opendata", "Boden", "Lebensr\u00e4ume und Biotope", "Verteilung der Arten", "Bodenbedeckung", "Landwirtschaft", "Wissenschaftliche Forschung", "Germany", "Brandenburg", "M\u00e4rkisch Oderland", "M\u00fcncheberg"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Marina Gerling", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Marina.Gerling@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str. 84"], "city": "D-15374 M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": null, "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-7039-5499", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Marina M\u00fcller", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "mmueller@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str.84"], "city": "D-15374   M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "Michael Glemnitz", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "mglemnitz@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str. 84"], "city": "D-15374 M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": null, "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-6506-1889", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Grit von der Waydbrink", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "grit.waydbrink@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str. 84"], "city": "D-15374 M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "Laura Petry", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "laura.petry.4@gmail.com"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 2/3 ,table: Mycotoxin content of the harvest samples"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=4bf5ad40-2b1e-47c2-85b5-da2e42335532", "rel": "information"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/62d4143f-58af-4262-a701-4f05e0a9cca6", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "4bf5ad40-2b1e-47c2-85b5-da2e42335532", "name": "item", "description": "4bf5ad40-2b1e-47c2-85b5-da2e42335532", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/4bf5ad40-2b1e-47c2-85b5-da2e42335532"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2021-05-01T00:00:00Z", "2021-07-31T00:00:00Z"]}}, {"id": "090f32da-b607-4be8-ab01-37553962104d", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[14.12, 52.51], [14.12, 52.53], [14.14, 52.53], [14.14, 52.51], [14.12, 52.51]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Fusarium sporotrichioides"}, {"id": "Fusarium"}, {"id": "Fusarium culmorum"}, {"id": "Fusarium equiseti"}, {"id": "winter wheat"}, {"id": "grass weeds"}, {"id": "Lolium hybridum"}, {"id": "Lolium multiflorum"}, {"id": "pathogenic fungi"}, {"id": "mycotoxins"}, {"id": "trichothecenes"}, {"id": "zearalenone"}, {"id": "irrigation"}, {"id": "microclimate"}, {"id": "agricultural sciences"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}, {"id": "Lebensr\u00e4ume und Biotope"}, {"id": "Verteilung der Arten"}, {"id": "Bodenbedeckung"}, {"id": "Landwirtschaft"}, {"id": "Wissenschaftliche Forschung"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "M\u00e4rkisch Oderland"}, {"id": "M\u00fcncheberg"}], "scheme": "individual"}], "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 Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung 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 Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-11-23", "type": "Dataset", "created": "2023-07-20", "language": "eng", "title": "Fusarium abundance and diversity and Alternaria abundance on grasses and wheat ears after the infection with Fusarium graminearum, Fusarium culmorum and Fusarium sporotrichioides with and without irrigation       - Abundance of Fusaria and Alternaria", "description": "The table contains the abundances of Fusarium and Alternaria determined by qPCR and culture-dependent methods (potato dextrose agar with chloramphenicol). \n\nGeneral description see mother table: (https://doi.org/10.4228/zalf-58e8-wm91); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Fusarium sporotrichioides", "Fusarium", "Fusarium culmorum", "Fusarium equiseti", "winter wheat", "grass weeds", "Lolium hybridum", "Lolium multiflorum", "pathogenic fungi", "mycotoxins", "trichothecenes", "zearalenone", "irrigation", "microclimate", "agricultural sciences", "opendata", "Boden", "Lebensr\u00e4ume und Biotope", "Verteilung der Arten", "Bodenbedeckung", "Landwirtschaft", "Wissenschaftliche Forschung", "Germany", "Brandenburg", "M\u00e4rkisch Oderland", "M\u00fcncheberg"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Marina Gerling", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Marina.Gerling@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str. 84"], "city": "D-15374 M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": null, "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-7039-5499", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Marina M\u00fcller", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "mmueller@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str.84"], "city": "D-15374   M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "Michael Glemnitz", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "mglemnitz@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str. 84"], "city": "D-15374 M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": null, "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-6506-1889", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Grit von der Waydbrink", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "grit.waydbrink@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str. 84"], "city": "D-15374 M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "Laura Petry", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "laura.petry.4@gmail.com"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 1/3 ,table: Abundance of Fusaria and Alternaria"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=090f32da-b607-4be8-ab01-37553962104d", "rel": "information"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/62d4143f-58af-4262-a701-4f05e0a9cca6", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "090f32da-b607-4be8-ab01-37553962104d", "name": "item", "description": "090f32da-b607-4be8-ab01-37553962104d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/090f32da-b607-4be8-ab01-37553962104d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2021-05-01T00:00:00Z", "2021-07-31T00:00:00Z"]}}, {"id": "b5f42e6b-043d-46e3-929a-bbd6716b3119", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[14.12, 52.51], [14.12, 52.53], [14.14, 52.53], [14.14, 52.51], [14.12, 52.51]]]}, "properties": {"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 Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung 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 Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-11-23", "type": "Service", "created": "2023-07-20", "language": "eng", "title": "WMS Service the ZALF Research Station M\u00fcncheberg", "description": "This Web Map Service includes spatial information used by datasets collected in the ZALF Research Station M\u00fcncheberg.", "keywords": ["infoMapAccessService", "Soil", "site", "research facilities", "site factors", "research", "research data", "fertilization", "monitoring", "crop modelling", "crop yield", "cropping systems", "crops", "tillage", "Soil", "Fusarium sporotrichioides", "Fusarium", "Fusarium culmorum", "Fusarium equiseti", "winter wheat", "grass weeds", "Lolium hybridum", "Lolium multiflorum", "pathogenic fungi", "mycotoxins", "trichothecenes", "zearalenone", "irrigation", "microclimate", "agricultural sciences", "Germany", "Brandenburg", "M\u00e4rkisch-Oderland", "M\u00fcncheberg", "Ackerbauregion Ostbrandenburg"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Kevin Urbasch", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "kevin.urbasch@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str.84"], "city": "D-15374   M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "Kristin Meier", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "kristin.meier@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str. 84"], "city": "D-15374 M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": null, "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0003-1966-9679", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Nikolai Svoboda", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "nikolai.svoboda@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str. 84"], "city": "D-15374 M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": null, "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-3860-4400", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Soil"}, {"id": "site"}, {"id": "research facilities"}, {"id": "site factors"}, {"id": "research"}, {"id": "research data"}, {"id": "fertilization"}, {"id": "monitoring"}, {"id": "crop modelling"}, {"id": "crop yield"}, {"id": "cropping systems"}, {"id": "crops"}, {"id": "tillage"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Soil"}, {"id": "Fusarium sporotrichioides"}, {"id": "Fusarium"}, {"id": "Fusarium culmorum"}, {"id": "Fusarium equiseti"}, {"id": "winter wheat"}, {"id": "grass weeds"}, {"id": "Lolium hybridum"}, {"id": "Lolium multiflorum"}, {"id": "pathogenic fungi"}, {"id": "mycotoxins"}, {"id": "trichothecenes"}, {"id": "zearalenone"}, {"id": "irrigation"}, {"id": "microclimate"}, {"id": "agricultural sciences"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "M\u00e4rkisch-Oderland"}, {"id": "M\u00fcncheberg"}, {"id": "Ackerbauregion Ostbrandenburg"}], "scheme": "individual"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=b5f42e6b-043d-46e3-929a-bbd6716b3119", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Zalf/Focus_Area_Site_Research_Station_M%C3%BCncheberg/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "b5f42e6b-043d-46e3-929a-bbd6716b3119", "name": "item", "description": "b5f42e6b-043d-46e3-929a-bbd6716b3119", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/b5f42e6b-043d-46e3-929a-bbd6716b3119"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2021-05-01T00:00:00Z", "2021-07-31T00:00:00Z"]}}, {"id": "2a68dcc2-8606-494a-a13d-3e1d0af2f7eb", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[10.79, 49.98], [10.79, 51.71], [12.6, 51.71], [12.6, 49.98], [10.79, 49.98]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "meteorological observations"}, {"id": "conventional agriculture"}, {"id": "microclimate"}, {"id": "air temperature"}, {"id": "relative humidity"}, {"id": "wind speed"}, {"id": "wind direction"}, {"id": "global radiation"}, {"id": "net radiation"}, {"id": "ground heat flux"}, {"id": "soil temperature"}, {"id": "soil water content"}, {"id": "crop land"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Atmosph\u00e4rischer Vorgang"}, {"id": "Luftbewegung"}, {"id": "Atmosph\u00e4rische Bedingungen"}, {"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. (e.g. 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 re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - SIGNAL's research activities.\" Although every care has been taken in preparing and testing the data, BonaRes Module A-Project-SIGNAL and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project and 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-SIGNAL 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": "2024-02-22", "type": "Dataset", "created": "2018-09-17", "language": "eng", "title": "Meteorological data, soil temperature and soil water content for Dornburg Agroforestry from 2016 to 2017", "description": "The data set was provided by the responsible parties of the SIGNAL sub project \u201cEvaporation and transpiration of agroforestry\u201d. The main goal of the sub project was to investigate the effect of agroforestry on evapotranspiration on a system scale. We applied the so called surface energy balance method to calculate half hourly evapotranspiration rates. For that, half hourly evapotranspiration rates were calculated as a residual of the net radiation, the sensible heat flux and the ground heat flux. Besides the latter energy balance components, also standard meteorological data, such as global radiation, air temperature, relative humidity, wind speed and -direction, air pressure and precipitation were continuously measured since March 2016. All instruments were installed at a 10 m tall weather mast and the data were automatically collected. The weather mast was installed directly at the agroforestry plot of Dornburg (Thuringia). The agroforestry system in Dornburg is of a crop land alley cropping type, where poplar tree strips and crop land alternate. The current data set contains standard meteorological data, the soil temperature and -water content.", "formats": [{"name": "CSV"}], "keywords": ["meteorological observations", "conventional agriculture", "microclimate", "air temperature", "relative humidity", "wind speed", "wind direction", "global radiation", "net radiation", "ground heat flux", "soil temperature", "soil water content", "crop land", "Atmosph\u00e4rischer Vorgang", "Luftbewegung", "Atmosph\u00e4rische Bedingungen", "Boden"], "contacts": [{"name": "Christian Markwitz", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PhD Student", "roles": ["author"], "phones": [{"value": "+49 551 39 20597"}], "emails": [{"value": "christian.markwitz@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Alexander Knohl", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "+49 551 39 33682"}], "emails": [{"value": "aknohl@uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data'  - 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": "Lukas Siebicke", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PostDoc", "roles": ["supervisor"], "phones": [{"value": "+49 551 39 8100"}], "emails": [{"value": "lukas.siebicke@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of G\u00f6ttingen, Bioclimatology", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&doi=2a68dcc2-8606-494a-a13d-3e1d0af2f7eb", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "2a68dcc2-8606-494a-a13d-3e1d0af2f7eb", "name": "item", "description": "2a68dcc2-8606-494a-a13d-3e1d0af2f7eb", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2a68dcc2-8606-494a-a13d-3e1d0af2f7eb"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2016-04-22T00:00:00Z", "2018-01-01T00:00:00Z"]}}, {"id": "1a45eaa6-13f5-457d-bb55-fa102a02adbc", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[8.83, 49.83], [8.83, 52.57], [11.35, 52.57], [11.35, 49.83], [8.83, 49.83]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "meteorological observations"}, {"id": "conventional agriculture"}, {"id": "microclimate"}, {"id": "air temperature"}, {"id": "relative humidity"}, {"id": "wind speed"}, {"id": "wind direction"}, {"id": "global radiation"}, {"id": "net radiation"}, {"id": "ground heat flux"}, {"id": "soil temperature"}, {"id": "soil water content"}, {"id": "grass land"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Atmosph\u00e4rische Bedingungen"}, {"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. (e.g. 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 re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - SIGNAL's research activities.\" Although every care has been taken in preparing and testing the data, BonaRes Module A-Project-SIGNAL and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project and 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-SIGNAL 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": "2024-02-22", "type": "Dataset", "created": "2018-09-07", "language": "eng", "title": "Meteorological data, soil temperature and soil water content for Reiffenhausen Conventional from 2016 to 2017", "description": "Meteorological data, soil temperature and soil water content for Reiffenhausen Conventional from 2016 to 2017", "formats": [{"name": "CSV"}], "keywords": ["meteorological observations", "conventional agriculture", "microclimate", "air temperature", "relative humidity", "wind speed", "wind direction", "global radiation", "net radiation", "ground heat flux", "soil temperature", "soil water content", "grass land", "Atmosph\u00e4rische Bedingungen", "Boden"], "contacts": [{"name": "Christian Markwitz", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PhD Student", "roles": ["author"], "phones": [{"value": "05513920597"}], "emails": [{"value": "christian.markwitz@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Lukas Siebicke", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PostDoc", "roles": ["supervisor"], "phones": [{"value": "0551398100"}], "emails": [{"value": "lukas.siebicke@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data'  - 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": "Alexander Knohl", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "05513933682"}], "emails": [{"value": "aknohl@uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of G\u00f6ttingen, Bioclimatology", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&doi=1a45eaa6-13f5-457d-bb55-fa102a02adbc", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "1a45eaa6-13f5-457d-bb55-fa102a02adbc", "name": "item", "description": "1a45eaa6-13f5-457d-bb55-fa102a02adbc", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1a45eaa6-13f5-457d-bb55-fa102a02adbc"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2016-03-01T00:00:00Z", "2017-07-10T00:00:00Z"]}}, {"id": "8c05b2d1-ebfd-4cc5-b700-7591479f4ca9", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[8.45, 51.25], [8.45, 53.41], [10.94, 53.41], [10.94, 51.25], [8.45, 51.25]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "meteorological observations"}, {"id": "conventional agriculture"}, {"id": "microclimate"}, {"id": "air temperature"}, {"id": "relative humidity"}, {"id": "wind speed"}, {"id": "wind direction"}, {"id": "global radiation"}, {"id": "net radiation"}, {"id": "ground heat flux"}, {"id": "soil temperature"}, {"id": "soil water content"}, {"id": "grass land"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Atmosph\u00e4rische Bedingungen"}, {"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. (e.g. 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 re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - SIGNAL's research activities.\" Although every care has been taken in preparing and testing the data, BonaRes Module A-Project-SIGNAL and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project and 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-SIGNAL 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": "2024-02-22", "type": "Dataset", "created": "2018-09-18", "language": "eng", "title": "Meteorological data, soil temperature and soil water content for Mariensee Conventional from 2016 to 2017", "description": "The data set was provided by the responsible parties of the SIGNAL sub project \u201cEvaporation and transpiration of agroforestry\u201d. The objective of the sub project was to investigate the effect of agroforestry on evapotranspiration on a whole system scale. We applied the so called surface energy balance method to calculate half hourly evapotranspiration rates. Half hourly evapotranspiration rates were calculated as a residual of the net radiation, the sensible heat flux and the ground heat flux. Besides the latter energy balance components, also standard meteorological data, such as global radiation, air temperature, relative humidity, wind speed and -direction and precipitation were continuously measured since March 2016. All instruments were installed at a 3.5 m tall weather mast and the data were automatically collected. The weather mast was installed at the reference plot of Mariensee. That plot is treated as conventional agriculture, in this case gras land. The collected data at the reference plot were used to compare the evapotranspiration rates and microclimate data of the near by agroforestry plot (in about 100 m distance). The current data set contains standard meteorological data, soil temperature and -water content as 30 minute averages.", "formats": [{"name": "CSV"}], "keywords": ["meteorological observations", "conventional agriculture", "microclimate", "air temperature", "relative humidity", "wind speed", "wind direction", "global radiation", "net radiation", "ground heat flux", "soil temperature", "soil water content", "grass land", "Atmosph\u00e4rische Bedingungen", "Boden"], "contacts": [{"name": "Christian Markwitz", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PhD Student", "roles": ["author"], "phones": [{"value": "05513920597"}], "emails": [{"value": "christian.markwitz@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Lukas Siebicke", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PostDoc", "roles": ["supervisor"], "phones": [{"value": "0551398100"}], "emails": [{"value": "lukas.siebicke@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data'  - 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": "Alexander Knohl", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "05513933682"}], "emails": [{"value": "aknohl@uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of G\u00f6ttingen, Bioclimatology", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&doi=8c05b2d1-ebfd-4cc5-b700-7591479f4ca9", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "8c05b2d1-ebfd-4cc5-b700-7591479f4ca9", "name": "item", "description": "8c05b2d1-ebfd-4cc5-b700-7591479f4ca9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/8c05b2d1-ebfd-4cc5-b700-7591479f4ca9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2016-03-17T00:00:00Z", "2018-01-01T00:00:00Z"]}}, {"id": "94b57315-d8ee-4993-bcc2-666a9a29fec2", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[10.32, 51.94], [10.32, 52.43], [10.82, 52.43], [10.82, 51.94], [10.32, 51.94]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "meteorological observations"}, {"id": "agroforestry"}, {"id": "microclimate"}, {"id": "soil measurements"}, {"id": "soil analysis"}, {"id": "global radiation"}, {"id": "net radiation"}, {"id": "wind speed"}, {"id": "relative humidity"}, {"id": "wind direction"}, {"id": "air temperature"}, {"id": "ground heat flux"}, {"id": "soil water content"}, {"id": "soil temperature"}, {"id": "air pressure"}, {"id": "precipitation"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Atmosph\u00e4rischer Vorgang"}, {"id": "Luftbewegung"}, {"id": "Atmosph\u00e4rische Bedingungen"}, {"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}], "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. (e.g. 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 re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - SIGNAL's research activities.\" Although every care has been taken in preparing and testing the data, BonaRes Module A-Project-SIGNAL and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project and 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-SIGNAL 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": "2024-02-22", "type": "Dataset", "created": "2018-09-17", "language": "eng", "title": "Meteorological data, soil temperature and soil water content for Wendhausen Agroforestry from 2016 to 2017", "description": "The data set was provided by the responsible parties of the SIGNAL sub project \u201cEvaporation and transpiration of agroforestry\u201d. The main goal of the sub project was to investigate the effect of agroforestry on evapotranspiration on a system scale. We applied the so called surface energy balance method to calculate half hourly evapotranspiration rates. For that, half hourly evapotranspiration rates were calculated as a residual of the net radiation, the sensible heat flux and the ground heat flux. Besides the latter energy balance components, also standard meteorological data, such as global radiation, air temperature, relative humidity, wind speed and -direction, air pressure and precipitation were continuously measured since March 2016. All instruments were installed at a 10 m tall weather mast and the data were automatically collected. The weather mast was installed directly at the agroforestry plot of Wendhausen. The agroforestry system in Wendhausen is of a crop land alley cropping type, where poplar tree strips and crop land alternate. The current data set contains standard meteorological data, the soil temperature and -water content.", "formats": [{"name": "CSV"}], "keywords": ["meteorological observations", "agroforestry", "microclimate", "soil measurements", "soil analysis", "global radiation", "net radiation", "wind speed", "relative humidity", "wind direction", "air temperature", "ground heat flux", "soil water content", "soil temperature", "air pressure", "precipitation", "Atmosph\u00e4rischer Vorgang", "Luftbewegung", "Atmosph\u00e4rische Bedingungen", "Boden", "Boden", "opendata"], "contacts": [{"name": "Christian Markwitz", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PhD Student", "roles": ["author"], "phones": [{"value": "+49 551 39 20597"}], "emails": [{"value": "christian.markwitz@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Alexander Knohl", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "+49 551 39 33682"}], "emails": [{"value": "aknohl@uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data' - 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": "Lukas Siebicke", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PostDoc", "roles": ["supervisor"], "phones": [{"value": "+49 551 39 8100"}], "emails": [{"value": "lukas.siebicke@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of G\u00f6ttingen, Bioclimatology", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=94b57315-d8ee-4993-bcc2-666a9a29fec2", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "94b57315-d8ee-4993-bcc2-666a9a29fec2", "name": "item", "description": "94b57315-d8ee-4993-bcc2-666a9a29fec2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/94b57315-d8ee-4993-bcc2-666a9a29fec2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2016-03-22T00:00:00Z", "2018-01-01T00:00:00Z"]}}, {"id": "0944b0bf-c440-48d4-8ac4-553c3781cbf6", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[8.98, 49.74], [8.98, 52.42], [11.41, 52.42], [11.41, 49.74], [8.98, 49.74]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "meteorological observations"}, {"id": "agroforestry"}, {"id": "microclimate"}, {"id": "soil measurements"}, {"id": "soil analysis"}, {"id": "global radiation"}, {"id": "net radiation"}, {"id": "wind speed"}, {"id": "relative humidity"}, {"id": "wind direction"}, {"id": "air temperature"}, {"id": "ground heat flux"}, {"id": "soil water content"}, {"id": "soil temperature"}, {"id": "air pressure"}, {"id": "precipitation"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Atmosph\u00e4rischer Vorgang"}, {"id": "Luftbewegung"}, {"id": "Atmosph\u00e4rische Bedingungen"}, {"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. (e.g. 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 re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - SIGNAL's research activities.\" Although every care has been taken in preparing and testing the data, BonaRes Module A-Project-SIGNAL and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project and 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-SIGNAL 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": "2024-11-11", "type": "Dataset", "created": "2018-09-07", "language": "eng", "title": "Meteorological data, soil temperature and soil water content for Reiffenhausen Agroforestry from 2016 to 2017", "description": "The data set was provided by the responsible parties of the SIGNAL sub project \u201cEvaporation and transpiration of agroforestry\u201d. The main goal of the sub project is to investigate the effect of agroforestry on evapotranspiration on a whole system scale. We applied the so called surface energy balance method to calculate half hourly evapotranspiration rates. For that half hourly evapotranspiration rates were calculated as a residual of the net radiation, the sensible heat flux and the ground heat flux. Besides the latter energy balance components, also standard meteorological data, such as global radiation, air temperature, relative humidity, wind speed and -direction, air pressure and precipitation were continuously measured since March 2016. All instruments were installed at a 10 m tall weather mast and the data were automatically collected. The weather mast was installed directly at the agroforestry plot of Reiffenhausen (Lower Saxony). The agroforestry system in Reiffenhausen is of an grass land alley cropping type, where willow tree strips and grass land alternate. In addition to standard meteorological data the current data set contains the soil temperature and -water content.", "formats": [{"name": "CSV"}], "keywords": ["meteorological observations", "agroforestry", "microclimate", "soil measurements", "soil analysis", "global radiation", "net radiation", "wind speed", "relative humidity", "wind direction", "air temperature", "ground heat flux", "soil water content", "soil temperature", "air pressure", "precipitation", "Atmosph\u00e4rischer Vorgang", "Luftbewegung", "Atmosph\u00e4rische Bedingungen", "Boden"], "contacts": [{"name": "Christian Markwitz", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PhD Student", "roles": ["author"], "phones": [{"value": "+49 551 39 20597"}], "emails": [{"value": "christian.markwitz@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Alexander Knohl", "organization": "-", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "+49 551 39 33682"}], "emails": [{"value": "aknohl@uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data'  - 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": "Lukas Siebicke", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PostDoc", "roles": ["supervisor"], "phones": [{"value": "+49 551 39 8100"}], "emails": [{"value": "lukas.siebicke@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of G\u00f6ttingen, Bioclimatology", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=0944b0bf-c440-48d4-8ac4-553c3781cbf6", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "0944b0bf-c440-48d4-8ac4-553c3781cbf6", "name": "item", "description": "0944b0bf-c440-48d4-8ac4-553c3781cbf6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0944b0bf-c440-48d4-8ac4-553c3781cbf6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2016-03-01T00:00:00Z", "2017-07-10T00:00:00Z"]}}, {"id": "a15e8c65-5230-4d22-ba45-235698f05722", "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": "meteorological observations"}, {"id": "agroforestry"}, {"id": "microclimate"}, {"id": "soil measurements"}, {"id": "soil analysis"}, {"id": "global radiation"}, {"id": "net radiation"}, {"id": "wind speed"}, {"id": "relative humidity"}, {"id": "wind direction"}, {"id": "air temperature"}, {"id": "ground heat flux"}, {"id": "soil water content"}, {"id": "soil temperature"}, {"id": "air pressure"}, {"id": "precipitation"}, {"id": "crop land"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Atmosph\u00e4rischer Vorgang"}, {"id": "Luftbewegung"}, {"id": "Atmosph\u00e4rische Bedingungen"}, {"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "opendata"}], "scheme": "Individiual"}], "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. (e.g. 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 re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - SIGNAL's research activities.\" Although every care has been taken in preparing and testing the data, BonaRes Module A-Project-SIGNAL and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project and 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-SIGNAL 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": "2024-02-22", "type": "Dataset", "created": "2018-09-17", "language": "eng", "title": "Meteorological data, soil temperature and soil water content for Forst (Lusatia) Agroforestry from 2016 to 2017", "description": "The data set was provided by the responsible parties of the SIGNAL sub project \u201cEvaporation and transpiration of agroforestry\u201d. The main goal of the sub project was to investigate the effect of agroforestry on evapotranspiration on a system scale. We applied the so called surface energy balance method to calculate half hourly evapotranspiration rates. For that, half hourly evapotranspiration rates were calculated as a residual of the net radiation, the sensible heat flux and the ground heat flux. Besides the latter energy balance components, also standard meteorological data, such as global radiation, air temperature, relative humidity, wind speed and -direction, air pressure and precipitation were continuously measured since March 2016. All instruments were installed at a 10 m tall weather mast and the data were automatically collected. The weather mast was installed directly at the agroforestry plot of Forst (Lusatia). The agroforestry system in Forst is of a crop land alley cropping type, where poplar tree strips and crop land alternate. The current data set contains standard meteorological data, the soil temperature and -water content.", "formats": [{"name": "CSV"}], "keywords": ["meteorological observations", "agroforestry", "microclimate", "soil measurements", "soil analysis", "global radiation", "net radiation", "wind speed", "relative humidity", "wind direction", "air temperature", "ground heat flux", "soil water content", "soil temperature", "air pressure", "precipitation", "crop land", "Atmosph\u00e4rischer Vorgang", "Luftbewegung", "Atmosph\u00e4rische Bedingungen", "Boden", "Boden", "opendata"], "contacts": [{"name": "Christian Markwitz", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PhD Student", "roles": ["author"], "phones": [{"value": "+49 551 39 20597"}], "emails": [{"value": "christian.markwitz@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Alexander Knohl", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "+49 551 39 33682"}], "emails": [{"value": "aknohl@uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data'  - 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": "Lukas Siebicke", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PostDoc", "roles": ["supervisor"], "phones": [{"value": "+49 551 39 8100"}], "emails": [{"value": "lukas.siebicke@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of G\u00f6ttingen, Bioclimatology", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&doi=a15e8c65-5230-4d22-ba45-235698f05722", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "a15e8c65-5230-4d22-ba45-235698f05722", "name": "item", "description": "a15e8c65-5230-4d22-ba45-235698f05722", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/a15e8c65-5230-4d22-ba45-235698f05722"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2016-03-11T00:00:00Z", "2018-01-01T00:00:00Z"]}}, {"id": "5e2780c4-4c84-4387-a09f-266cab2b7de8", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[10.84, 50.33], [10.84, 51.6], [12.36, 51.6], [12.36, 50.33], [10.84, 50.33]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "meteorological observations"}, {"id": "conventional agriculture"}, {"id": "microclimate"}, {"id": "air temperature"}, {"id": "relative humidity"}, {"id": "wind speed"}, {"id": "wind direction"}, {"id": "global radiation"}, {"id": "net radiation"}, {"id": "ground heat flux"}, {"id": "soil temperature"}, {"id": "soil water content"}, {"id": "crop land"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Atmosph\u00e4rische Bedingungen"}, {"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. (e.g. 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 re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - SIGNAL's research activities.\" Although every care has been taken in preparing and testing the data, BonaRes Module A-Project-SIGNAL and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project and 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-SIGNAL 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": "2024-02-22", "type": "Dataset", "created": "2018-09-17", "language": "eng", "title": "Meteorological data, soil temperature and soil water content for Dornburg Conventional from 2016 to 2017", "description": "The data set was provided by the responsible parties of the SIGNAL sub project \u201cEvaporation and transpiration of agroforestry\u201d. The objective of the sub project was to investigate the effect of agroforestry on evapotranspiration on a whole system scale. We applied the so called surface energy balance method to calculate half hourly evapotranspiration rates. Half hourly evapotranspiration rates were calculated as a residual of the net radiation, the sensible heat flux and the ground heat flux. Besides the latter energy balance components, also standard meteorological data, such as global radiation, air temperature, relative humidity, wind speed and -direction and precipitation were continuously measured since April 2016. All instruments were installed at a 3.5 m tall weather mast and the data were automatically collected. The weather mast was installed at the reference plot of Dornburg (Thuringia). That plot is treated as conventional agriculture, in this case crop land. The collected data at the reference plot were used to compare the evapotranspiration rates and microclimate data of the near by agroforestry plot (in about 500 m distance). The current data set contains standard meteorological data, soil temperature and -water content as 30 minute averages.", "formats": [{"name": "CSV"}], "keywords": ["meteorological observations", "conventional agriculture", "microclimate", "air temperature", "relative humidity", "wind speed", "wind direction", "global radiation", "net radiation", "ground heat flux", "soil temperature", "soil water content", "crop land", "Atmosph\u00e4rische Bedingungen", "Boden"], "contacts": [{"name": "Christian Markwitz", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PhD Student", "roles": ["author"], "phones": [{"value": "+49 (0) 551-39 20597"}], "emails": [{"value": "christian.markwitz@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Lukas Siebicke", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PostDoc", "roles": ["supervisor"], "phones": [{"value": "+49 (0) 551-39 8100"}], "emails": [{"value": "lukas.siebicke@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data'  - 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": "Alexander Knohl", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "05513933682"}], "emails": [{"value": "aknohl@uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of G\u00f6ttingen, Bioclimatology", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&doi=5e2780c4-4c84-4387-a09f-266cab2b7de8", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "5e2780c4-4c84-4387-a09f-266cab2b7de8", "name": "item", "description": "5e2780c4-4c84-4387-a09f-266cab2b7de8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/5e2780c4-4c84-4387-a09f-266cab2b7de8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2016-04-21T00:00:00Z", "2018-01-01T00:00:00Z"]}}, {"id": "e00786ab-85af-4740-b87b-4af2fe4f1e0f", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[9.05, 51.61], [9.05, 53.13], [10.81, 53.13], [10.81, 51.61], [9.05, 51.61]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "meteorological observations"}, {"id": "agroforestry"}, {"id": "microclimate"}, {"id": "soil measurements"}, {"id": "soil analysis"}, {"id": "global radiation"}, {"id": "net radiation"}, {"id": "wind speed"}, {"id": "relative humidity"}, {"id": "wind direction"}, {"id": "air temperature"}, {"id": "ground heat flux"}, {"id": "soil water content"}, {"id": "soil temperature"}, {"id": "air pressure"}, {"id": "precipitation"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Atmosph\u00e4rischer Vorgang"}, {"id": "Luftbewegung"}, {"id": "Atmosph\u00e4rische Bedingungen"}, {"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. (e.g. 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 re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - SIGNAL's research activities.\" Although every care has been taken in preparing and testing the data, BonaRes Module A-Project-SIGNAL and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project and 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-SIGNAL 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": "2024-02-22", "type": "Dataset", "created": "2018-09-17", "language": "eng", "title": "Meteorological data, soil temperature and soil water content for Mariensee Agroforestry from 2016 to 2017", "description": "The data set was provided by the responsible parties of the SIGNAL sub project \u201cEvaporation and transpiration of agroforestry\u201d. The main goal of the sub project was to investigate the effect of agroforestry on evapotranspiration on a system scale. We applied the so called surface energy balance method to calculate half hourly evapotranspiration rates. For that, half hourly evapotranspiration rates were calculated as a residual of the net radiation, the sensible heat flux and the ground heat flux. Besides the latter energy balance components, also standard meteorological data, such as global radiation, air temperature, relative humidity, wind speed and -direction, air pressure and precipitation were continuously measured since March 2016. All instruments were installed at a 10 m tall weather mast and the data were automatically collected. The weather mast was installed directly at the agroforestry plot of Mariensee. The agroforestry system in Mariensee is of a gras land alley cropping type, where willow tree strips and gras land alternate. The current data set contains standard meteorological data, the soil temperature and -water content.", "formats": [{"name": "CSV"}], "keywords": ["meteorological observations", "agroforestry", "microclimate", "soil measurements", "soil analysis", "global radiation", "net radiation", "wind speed", "relative humidity", "wind direction", "air temperature", "ground heat flux", "soil water content", "soil temperature", "air pressure", "precipitation", "Atmosph\u00e4rischer Vorgang", "Luftbewegung", "Atmosph\u00e4rische Bedingungen", "Boden"], "contacts": [{"name": "Christian Markwitz", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PhD Student", "roles": ["author"], "phones": [{"value": "+49 551 39 20597"}], "emails": [{"value": "christian.markwitz@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Alexander Knohl", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "+49 551 39 33682"}], "emails": [{"value": "aknohl@uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data'  - 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": "Lukas Siebicke", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PostDoc", "roles": ["supervisor"], "phones": [{"value": "+49 551 39 8100"}], "emails": [{"value": "lukas.siebicke@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of G\u00f6ttingen, Bioclimatology", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&doi=e00786ab-85af-4740-b87b-4af2fe4f1e0f", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "e00786ab-85af-4740-b87b-4af2fe4f1e0f", "name": "item", "description": "e00786ab-85af-4740-b87b-4af2fe4f1e0f", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/e00786ab-85af-4740-b87b-4af2fe4f1e0f"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2016-03-17T00:00:00Z", "2018-01-01T00:00:00Z"]}}, {"id": "bc316282-db45-436b-b625-a8e61673e03e", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[9.13, 51.5], [9.13, 53.16], [11.18, 53.16], [11.18, 51.5], [9.13, 51.5]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "meteorological observations"}, {"id": "conventional agriculture"}, {"id": "microclimate"}, {"id": "air temperature"}, {"id": "relative humidity"}, {"id": "wind speed"}, {"id": "wind direction"}, {"id": "global radiation"}, {"id": "net radiation"}, {"id": "ground heat flux"}, {"id": "soil temperature"}, {"id": "soil water content"}, {"id": "crop land"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Atmosph\u00e4rische Bedingungen"}, {"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. (e.g. 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 re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - SIGNAL's research activities.\" Although every care has been taken in preparing and testing the data, BonaRes Module A-Project-SIGNAL and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project and 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-SIGNAL 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": "2024-02-22", "type": "Dataset", "created": "2018-09-18", "language": "eng", "title": "Meteorological data, soil temperature and soil water content for Wendhausen Conventional from 2016 to 2017", "description": "The data set was provided by the responsible parties of the SIGNAL sub project \u201cEvaporation and transpiration of agroforestry\u201d. The objective of the sub project was to investigate the effect of agroforestry on evapotranspiration on a whole system scale. We applied the so called surface energy balance method to calculate half hourly evapotranspiration rates. Half hourly evapotranspiration rates were calculated as a residual of the net radiation, the sensible heat flux and the ground heat flux. Besides the latter energy balance components, also standard meteorological data, such as global radiation, air temperature, relative humidity, wind speed and -direction and precipitation were continuously measured since April 2016. All instruments were installed at a 3.5 m tall weather mast and the data were automatically collected. The weather mast was installed at the reference plot of Wendhausen. That plot is treated as conventional agriculture, in this case crop land. The collected data at the reference plot were used to compare the evapotranspiration rates and microclimate data of the near by agroforestry plot (in about 200 m distance). The current data set contains standard meteorological data, soil temperature and -water content as 30 minute averages.", "formats": [{"name": "CSV"}], "keywords": ["meteorological observations", "conventional agriculture", "microclimate", "air temperature", "relative humidity", "wind speed", "wind direction", "global radiation", "net radiation", "ground heat flux", "soil temperature", "soil water content", "crop land", "Atmosph\u00e4rische Bedingungen", "Boden"], "contacts": [{"name": "Christian Markwitz", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PhD Student", "roles": ["author"], "phones": [{"value": "05513920597"}], "emails": [{"value": "christian.markwitz@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg, 2"], "city": "G\u00f6ttingen", "administrativeArea": "Deutschland", "postalCode": "37077", "country": "Deutschland"}], "links": [{"href": null}]}, {"name": "Lukas Siebicke", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PostDoc", "roles": ["supervisor"], "phones": [{"value": "0551398100"}], "emails": [{"value": "lukas.siebicke@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg, 2"], "city": "G\u00f6ttingen", "administrativeArea": "Deutschland", "postalCode": "37077", "country": "Deutschland"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data'  - 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": "Alexander Knohl", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "05513933682"}], "emails": [{"value": "aknohl@uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg, 2"], "city": "G\u00f6ttingen", "administrativeArea": "Deutschland", "postalCode": "37077", "country": "Deutschland"}], "links": [{"href": null}]}, {"organization": "University of G\u00f6ttingen, Bioclimatology", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&doi=bc316282-db45-436b-b625-a8e61673e03e", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "bc316282-db45-436b-b625-a8e61673e03e", "name": "item", "description": "bc316282-db45-436b-b625-a8e61673e03e", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/bc316282-db45-436b-b625-a8e61673e03e"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2016-03-23T00:00:00Z", "2018-01-01T00:00:00Z"]}}, {"id": "dda3c8ac-7248-4ea1-a633-de15b15180b3", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[14.24, 51.64], [14.24, 51.89], [14.71, 51.89], [14.71, 51.64], [14.24, 51.64]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "meteorological observations"}, {"id": "conventional agriculture"}, {"id": "microclimate"}, {"id": "air temperature"}, {"id": "relative humidity"}, {"id": "wind speed"}, {"id": "wind direction"}, {"id": "global radiation"}, {"id": "net radiation"}, {"id": "ground heat flux"}, {"id": "soil temperature"}, {"id": "soil water content"}, {"id": "crop land"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Atmosph\u00e4rische Bedingungen"}, {"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. (e.g. 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 re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - SIGNAL's research activities.\" Although every care has been taken in preparing and testing the data, BonaRes Module A-Project-SIGNAL and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project and 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-SIGNAL 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": "2024-02-22", "type": "Dataset", "created": "2018-09-18", "language": "eng", "title": "Meteorological data, soil temperature and soil water content for Forst Conventional from 2016 to 2017", "description": "The data set was provided by the responsible parties of the SIGNAL sub project \u201cEvaporation and transpiration of agroforestry\u201d. The objective of the sub project was to investigate the effect of agroforestry on evapotranspiration on a whole system scale. We applied the so called surface energy balance method to calculate half hourly evapotranspiration rates. Half hourly evapotranspiration rates were calculated as a residual of the net radiation, the sensible heat flux and the ground heat flux. Besides the latter energy balance components, also standard meteorological data, such as global radiation, air temperature, relative humidity, wind speed and -direction and precipitation were continuously measured since April 2016. All instruments were installed at a 3.5 m tall weather mast and the data were automatically collected. The weather mast was installed at the reference plot of Forst (Lusatia). That plot is treated as conventional agriculture, in this case crop land. The collected data at the reference plot were used to compare the evapotranspiration rates and microclimate data of the nearby agroforestry plot (in about 500 m distance). The current data set contains standard meteorological data, soil temperature and -water content as 30 minute averages.", "formats": [{"name": "CSV"}], "keywords": ["meteorological observations", "conventional agriculture", "microclimate", "air temperature", "relative humidity", "wind speed", "wind direction", "global radiation", "net radiation", "ground heat flux", "soil temperature", "soil water content", "crop land", "Atmosph\u00e4rische Bedingungen", "Boden"], "contacts": [{"name": "Christian Markwitz", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PhD Student", "roles": ["author"], "phones": [{"value": "05513920597"}], "emails": [{"value": "christian.markwitz@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Lukas Siebicke", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PostDoc", "roles": ["supervisor"], "phones": [{"value": "0551398100"}], "emails": [{"value": "lukas.siebicke@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data'  - 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": "Alexander Knohl", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "05513933682"}], "emails": [{"value": "aknohl@uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of G\u00f6ttingen, Bioclimatology", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&doi=dda3c8ac-7248-4ea1-a633-de15b15180b3", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "dda3c8ac-7248-4ea1-a633-de15b15180b3", "name": "item", "description": "dda3c8ac-7248-4ea1-a633-de15b15180b3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/dda3c8ac-7248-4ea1-a633-de15b15180b3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2016-03-09T00:00:00Z", "2018-01-01T00:00:00Z"]}}, {"id": "62d4143f-58af-4262-a701-4f05e0a9cca6", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[14.12, 52.51], [14.12, 52.53], [14.14, 52.53], [14.14, 52.51], [14.12, 52.51]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Fusarium sporotrichioides"}, {"id": "Fusarium"}, {"id": "Fusarium culmorum"}, {"id": "Fusarium equiseti"}, {"id": "winter wheat"}, {"id": "grass weeds"}, {"id": "Lolium hybridum"}, {"id": "Lolium multiflorum"}, {"id": "pathogenic fungi"}, {"id": "mycotoxins"}, {"id": "trichothecenes"}, {"id": "zearalenone"}, {"id": "irrigation"}, {"id": "microclimate"}, {"id": "agricultural sciences"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}, {"id": "Lebensr\u00e4ume und Biotope"}, {"id": "Verteilung der Arten"}, {"id": "Bodenbedeckung"}, {"id": "Landwirtschaft"}, {"id": "Wissenschaftliche Forschung"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "M\u00e4rkisch Oderland"}, {"id": "M\u00fcncheberg"}], "scheme": "individual"}], "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 Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung 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 Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-11-27", "type": "Dataset", "created": "2023-07-20", "language": "eng", "title": "Fusarium abundance and diversity and Alternaria abundance on grasses and wheat ears after the infection with Fusarium graminearum, Fusarium culmorum and Fusarium sporotrichioides with and without irrigation", "description": "In 2020 and 2021, a field experiment was conducted in a winter wheat field on the research area at the Leibniz Centre of Agricultural Landscape Research (ZALF) M\u00fcncheberg to evaluate the influence of highly infected grasses and irrigation on the spread and the diversity of Fusarium fungi. \nA sown grass stripe next to a winter wheat field was infected by soil inoculation (October 2020) with 3 different Fusarium species (F. graminearum, F. culmorum, and F. sporotrichioides). In June and July of 2021, Fusarium and Alternaria abundance both in the wheat field (along a transect up to 64m into the field) and in the grass stripe were analyzed by qPCR with extracted DNA out of dried and ground samples. Furthermore, Fusarium species diversity was analyzed by culture-dependent methods. The mycotoxins DON and ZEA were analyzed from the harvest samples. One half of the wheat field was additionally irrigated.This table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Fusarium sporotrichioides", "Fusarium", "Fusarium culmorum", "Fusarium equiseti", "winter wheat", "grass weeds", "Lolium hybridum", "Lolium multiflorum", "pathogenic fungi", "mycotoxins", "trichothecenes", "zearalenone", "irrigation", "microclimate", "agricultural sciences", "opendata", "Boden", "Lebensr\u00e4ume und Biotope", "Verteilung der Arten", "Bodenbedeckung", "Landwirtschaft", "Wissenschaftliche Forschung", "Germany", "Brandenburg", "M\u00e4rkisch Oderland", "M\u00fcncheberg"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Marina Gerling", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Marina.Gerling@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str. 84"], "city": "D-15374 M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": null, "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-7039-5499", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Marina M\u00fcller", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "mmueller@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str.84"], "city": "D-15374   M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "Michael Glemnitz", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "mglemnitz@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str. 84"], "city": "D-15374 M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": null, "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-6506-1889", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Grit von der Waydbrink", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "grit.waydbrink@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str. 84"], "city": "D-15374 M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "Laura Petry", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "laura.petry.4@gmail.com"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 0/3 ,table: Index"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=62d4143f-58af-4262-a701-4f05e0a9cca6", "rel": "information"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/infected_wheat_ear.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/PDA_plates_fungi_copy.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/62d4143f-58af-4262-a701-4f05e0a9cca6", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "62d4143f-58af-4262-a701-4f05e0a9cca6", "name": "item", "description": "62d4143f-58af-4262-a701-4f05e0a9cca6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/62d4143f-58af-4262-a701-4f05e0a9cca6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2021-05-01T00:00:00Z", "2021-07-31T00:00:00Z"]}}, {"id": "oai:idus.us.es:11441/139324", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:32:17Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0\u20135 and 5\u201315 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\u00b0C (mean = 3.0 \u00b1 2.1\u00b0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 \u00b1 2.3\u00b0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (\u22120.7 \u00b1 2.3\u00b0C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["near-surface temperatures", "bioclimatic variables", "soil temperature", "temperature offset", "global maps", "soil-dwelling organisms", "weather stations", "microclimate"], "contacts": [{"organization": "Lembrechts, J. J., Hoogen, J. van den, Aalto, J., Ashcroft, M. B., Frenne, P. de, Kemppinen, J., Kopecky, M., Luoto, M., Maclean, I. M. D., Mu\u00f1oz Rojas, Miriam,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/oai:idus.us.es:11441/139324"}, {"rel": "self", "type": "application/geo+json", "title": "oai:idus.us.es:11441/139324", "name": "item", "description": "oai:idus.us.es:11441/139324", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/oai:idus.us.es:11441/139324"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "oai:DiVA.org:umu-219790", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:32:13Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0\u20135 and 5\u201315 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\u00b0C (mean = 3.0 \u00b1 2.1\u00b0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 \u00b1 2.3\u00b0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (\u22120.7 \u00b1 2.3\u00b0C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["near-surface temperatures", "bioclimatic variables", "soil temperature", "temperature offset", "global maps", "soil-dwelling organisms", "weather stations", "microclimate", "Climate Science", "Klimatvetenskap"], "contacts": [{"organization": "Lembrechts, Jonas J., van den Hoogen, Johan, Dorrepaal, Ellen, Larson, Keith, Sarneel, Judith M., Walz, Josefine, Nijs, Ivan, Lenoir, Jonathan,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/oai:DiVA.org:umu-219790"}, {"rel": "self", "type": "application/geo+json", "title": "oai:DiVA.org:umu-219790", "name": "item", "description": "oai:DiVA.org:umu-219790", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/oai:DiVA.org:umu-219790"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "oai:dspace.stir.ac.uk:1893/33794", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:32:16Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km\u00b2 resolution for 0\u20135 and 5\u201315 cm soil depth. These maps were created by calculating the difference (i.e., offset) between in-situ soil temperature measurements, based on time series from over 1200 1-km\u00b2 pixels (summarized from 8500 unique temperature sensors) across all the world\u2019s major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\u00b0C (mean = 3.0 \u00b1 2.1\u00b0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 \u00b1 2.3\u00b0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 \u00b1 2.3\u00b0C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in-situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["near-surface temperatures", "bioclimatic variables", "soil temperature", "13. Climate action", "temperature offset", "global maps", "soil-dwelling organisms", "15. Life on land", "weather stations", "microclimate"], "contacts": [{"organization": "Lembrechts, Jonas J, van den Hoogen, Johan, Aalto, Juha, Ashcroft, Michael B, De Frenne, Pieter, Kemppinen, Julia, Kopeck\u00fd, Martin, Luoto, Miska, Maclean, Ilya M D, Crowther, Thomas W, Bailey, Joseph J, Haesen, Stef, Klinges, David H, Niittynen, Pekka, Jump, Alistair S.,", "roles": ["creator"]}]}, "links": [{"href": "http://dspace.stir.ac.uk/bitstream/1893/33794/1/Lembrechts-etal-GCB-2022.pdf"}, {"href": "https://doi.org/oai:dspace.stir.ac.uk:1893/33794"}, {"rel": "self", "type": "application/geo+json", "title": "oai:dspace.stir.ac.uk:1893/33794", "name": "item", "description": "oai:dspace.stir.ac.uk:1893/33794", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/oai:dspace.stir.ac.uk:1893/33794"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-01T00:00:00Z"}}, {"id": "oai:ebuah.uah.es:10017/50911", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:32:16Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0&#8211;5 and 5&#8211;15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\u00b0C (mean = 3.0 \u00b1 2.1\u00b0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 \u00b1 2.3\u00b0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (&#8722;0.7 \u00b1 2.3\u00b0C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["13. Climate action", "Bioclimatic variables", "Global maps", "Soil temperature", "Temperature offset", "Weather stations", "Geology", "Geolog\u00eda", "Microclimate", "15. Life on land", "Near-surface temperatures", "Soil-dwelling organisms"], "contacts": [{"organization": "Pablo Hern\u00e1ndez, Miguel \u00c1ngel de", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/oai:ebuah.uah.es:10017/50911"}, {"rel": "self", "type": "application/geo+json", "title": "oai:ebuah.uah.es:10017/50911", "name": "item", "description": "oai:ebuah.uah.es:10017/50911", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/oai:ebuah.uah.es:10017/50911"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-29T00:00:00Z"}}, {"id": "oai:escholarship.org:ark:/13030/qt6hg3313z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:32:16Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2&nbsp;m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0-5 and 5-15&nbsp;cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\u00b0C (mean&nbsp;=&nbsp;3.0&nbsp;\u00b1&nbsp;2.1\u00b0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6&nbsp;\u00b1&nbsp;2.3\u00b0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7&nbsp;\u00b1&nbsp;2.3\u00b0C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["soil temperature", "Ecology", "Climate Change", "Temperature", "soil-dwelling organisms", "Microclimate", "Biological Sciences", "weather stations", "Climate Action", "Soil", "near-surface temperatures", "bioclimatic variables", "temperature offset", "global maps", "Ecosystem", "microclimate", "Environmental Sciences"], "contacts": [{"organization": "Lembrechts, Jonas J, Hoogen, Johan, Aalto, Juha, Ashcroft, Michael B, De Frenne, Pieter, Kemppinen, Julia, Kopeck\u00fd, Martin, Luoto, Miska, Maclean, Ilya MD, Crowther, Thomas W, Bailey, Joseph J, Haesen, Stef, Klinges, David H, Niittynen, Pekka, Scheffers, Brett R, Van Meerbeek, Koenraad, Aartsma, Peter, Abdalaze, Otar, Abedi, Mehdi, Aerts, Rien, Ahmadian, Negar, Ahrends, Antje, Alatalo, Juha M, Alexander, Jake M, Allonsius, Camille Nina, Altman, Jan, Ammann, Christof, Andres, Christian, Andrews, Christopher, Ard\u00f6, Jonas, Arriga, Nicola, Arzac, Alberto, Aschero, Valeria, Assis, Rafael L, Assmann, Jakob Johann, Bader, Maaike Y, Bahalkeh, Khadijeh, Baran\u010dok, Peter, Barrio, Isabel C, Barros, Agustina, Barthel, Matti, Basham, Edmund W, Bauters, Marijn, Bazzichetto, Manuele, Marchesini, Luca Belelli, Bell, Michael C, Benavides, Juan C, Alonso, Jos\u00e9 Luis Benito, Berauer, Bernd J, Bjerke, Jarle W, Bj\u00f6rk, Robert G, Bj\u00f6rkman, Mats P, Bj\u00f6rnsd\u00f3ttir, Katrin, Blonder, Benjamin, Boeckx, Pascal, Boike, Julia, Bokhorst, Stef, Brum, B\u00e1rbara NS, Br\u016fna, Josef, Buchmann, Nina, Buysse, Pauline, Camargo, Jos\u00e9 Lu\u00eds, Campoe, Ot\u00e1vio C, Candan, Onur, Canessa, Rafaella, Cannone, Nicoletta, Carbognani, Michele, Carnicer, Jofre, Casanova\u2010Katny, Ang\u00e9lica, Cesarz, Simone, Chojnicki, Bogdan, Choler, Philippe, Chown, Steven L, Cifuentes, Edgar F, \u010ciliak, Marek, Contador, Tamara, Convey, Peter, Cooper, Elisabeth J, Cremonese, Edoardo, Curasi, Salvatore R, Curtis, Robin, Cutini, Maurizio, Dahlberg, C Johan, Daskalova, Gergana N, de Pablo, Miguel Angel, Della Chiesa, Stefano, Dengler, J\u00fcrgen, Deronde, Bart, Descombes, Patrice, Di Cecco, Valter, Di Musciano, Michele, Dick, Jan, Dimarco, Romina D, Dolezal, Jiri, Dorrepaal, Ellen, Du\u0161ek, Ji\u0159\u00ed, Eisenhauer, Nico, Eklundh, Lars, Erickson, Todd E, Erschbamer, Brigitta,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/oai:escholarship.org:ark:/13030/qt6hg3313z"}, {"rel": "self", "type": "application/geo+json", "title": "oai:escholarship.org:ark:/13030/qt6hg3313z", "name": "item", "description": "oai:escholarship.org:ark:/13030/qt6hg3313z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/oai:escholarship.org:ark:/13030/qt6hg3313z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-01T00:00:00Z"}}, {"id": "oai:iris.unica.it:11584/332967", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:32:17Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2&nbsp;m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0\u20135 and 5\u201315&nbsp;cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\u00b0C (mean&nbsp;=&nbsp;3.0&nbsp;\u00b1&nbsp;2.1\u00b0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6&nbsp;\u00b1&nbsp;2.3\u00b0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (\u22120.7&nbsp;\u00b1&nbsp;2.3\u00b0C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["Bioclimatic variables; Global maps; Microclimate; Near-surface temperatures; Soil temperature; Soil-dwelling organisms; Temperature offset; Weather stations; Climate change; Temperature; Ecosystem; Soil"], "contacts": [{"organization": "Lembrechts J. J., van den Hoogen J., Aalto J., Ashcroft M. B., De Frenne P., Kemppinen J., Kopecky M., Luoto M., Maclean I. M. D., Crowther T. W., Bailey J. J., Haesen S., Klinges D. H., Niittynen P., Scheffers B. R., Van Meerbeek K., Aartsma P., Abdalaze O., Abedi M., Aerts R., Ahmadian N., Ahrends A., Alatalo J. M., Alexander J. M., Allonsius C. N., Altman J., Ammann C., Andres C., Andrews C., Ardo J., Arriga N., Arzac A., Aschero V., Assis R. L., Assmann J. J., Bader M. Y., Bahalkeh K., Barancok P., Barrio I. C., Barros A., Barthel M., Basham E. W., Bauters M., Bazzichetto M., Marchesini L. B., Bell M. C., Benavides J. C., Benito Alonso J. L., Berauer B. J., Bjerke J. W., Bjork R. G., Bjorkman M. P., Bjornsdottir K., Blonder B., Boeckx P., Boike J., Bokhorst S., Brum B. N. S., Bruna J., Buchmann N., Buysse P., Camargo J. L., Campoe O. C., Candan O., Canessa R., Cannone N., Carbognani M., Carnicer J., Casanova-Katny A., Cesarz S., Chojnicki B., Choler P., Chown S. L., Cifuentes E. F., Ciliak M., Contador T., Convey P., Cooper E. J., Cremonese E., Curasi S. R., Curtis R., Cutini M., Dahlberg C. J., Daskalova G. N., de Pablo M. A., Della Chiesa S., Dengler J., Deronde B., Descombes P., Di Cecco V., Di Musciano M., Dick J., Dimarco R. D., Dolezal J., Dorrepaal E., Dusek J., Eisenhauer N., Eklundh L., Erickson T. E., Erschbamer B., Eugster W., Ewers R. M., Exton D. A., Fanin N., Fazlioglu F., Feigenwinter I., Fenu G., Ferlian O., Fernandez Calzado M. R., Fernandez-Pascual E., Finckh M., Higgens R. F., Forte T. G. W., Freeman E. C., Frei E. R., Fuentes-Lillo E., Garcia R. A., Garcia M. B., Geron C., Gharun M., Ghosn D., Gigauri K., Gobin A., Goded I., Goeckede M., Gottschall F., Goulding K., Govaert S., Graae B. J., Greenwood S., Greiser C., Grelle A., Guenard B., Guglielmin M., Guillemot J., Haase P., Haider S., Halbritter A. H., Hamid M., Hammerle A., Hampe A., Haugum S. V., Hederova L., Heinesch B., Helfter C., Hepenstrick D., Herberich M., Herbst M., Hermanutz L., Hik D. S., Hoffren R., Homeier J., Hortnagl L., Hoye T. T., Hrbacek F., Hylander K., Iwata H., Jackowicz-Korczynski M. A., Jactel H., Jarveoja J., Jastrzebowski S., Jentsch A., Jimenez J. J., Jonsdottir I. S., Jucker T., Jump A. S., Juszczak R., Kanka R., Kaspar V., Kazakis G., Kelly J., Khuroo A. A., Klemedtsson L., Klisz M., Kljun N., Knohl A., Kobler J., Kollar J., Kotowska M. M., Kovacs B., Kreyling J., Lamprecht A., Lang S. I., Larson C., Larson K., Laska K., le Maire G., Leihy R. I., Lens L., Liljebladh B., Lohila A., Lorite J., Loubet B., Lynn J., Macek M., Mackenzie R., Magliulo E., Maier R., Malfasi F., Malis F.,", "roles": ["creator"]}]}, "links": [{"href": "https://iris.unica.it/bitstream/11584/332967/1/2022_Global_maps_soil_temperature_GlobalChangeBiology.pdf"}, {"href": "https://doi.org/oai:iris.unica.it:11584/332967"}, {"rel": "self", "type": "application/geo+json", "title": "oai:iris.unica.it:11584/332967", "name": "item", "description": "oai:iris.unica.it:11584/332967", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/oai:iris.unica.it:11584/332967"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=microclimate&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=microclimate&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=microclimate&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=microclimate&offset=45", "hreflang": "en-US"}], "numberMatched": 45, "numberReturned": 45, "distributedFeatures": [], "timeStamp": "2026-05-25T03:59:10.292091Z"}