{"type": "FeatureCollection", "facets": {"type": {"type": "terms", "property": "type", "buckets": [{"value": "Journal Article", "count": 5}, {"value": "Other", "count": 1}, {"value": "Report", "count": 1}, {"value": "Software", "count": 1}]}, "soil_chemical_properties": {"type": "terms", "property": "soil_chemical_properties", "buckets": []}, "soil_biological_properties": {"type": "terms", "property": "soil_biological_properties", "buckets": []}, "soil_physical_properties": {"type": "terms", "property": "soil_physical_properties", "buckets": [{"value": "water", "count": 1}]}, "soil_classification": {"type": "terms", "property": "soil_classification", "buckets": [{"value": "agricultural soils", "count": 1}]}, "soil_functions": {"type": "terms", "property": "soil_functions", "buckets": [{"value": "ecosystem services", "count": 2}]}, "soil_threats": {"type": "terms", "property": "soil_threats", "buckets": [{"value": "wind erosion rate", "count": 8}, {"value": "soil sealing", "count": 1}, {"value": "soil compaction", "count": 1}, {"value": "soil erosion", "count": 1}]}, "soil_processes": {"type": "terms", "property": "soil_processes", "buckets": []}, "soil_management": {"type": "terms", "property": "soil_management", "buckets": [{"value": "soil protection", "count": 2}]}, "ecosystem_services": {"type": "terms", "property": "ecosystem_services", "buckets": []}}, "features": [{"id": "10.3390/ijerph20010198", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:22Z", "type": "Journal Article", "created": "2022-12-23", "title": "The Impact of Residences and Roads on Wind Erosion in a Temperate Grassland Ecosystem: A Spatially Oriented Perspective", "description": "<p>The existence of residences and roads is an important way in which human activity affects wind erosion in arid and semiarid environments. Studies assessing the impact of these elements on wind erosion have only focused on limited plots, and their threat of erosion to the surrounding environment has been ignored by many studies. This study was based on spatially overlayed analysis of independent wind erosion distribution simulated by the revised wind erosion equation (RWEQ) and remote-sensing-image-derived residence and road distribution data. Wind erosion at different distances from residences and roads was quantified at the landscape scale of a typical temperate grassland ecosystem, explicitly demonstrating the crucial impacts of both elements on wind erosion. The results showed that wind erosion weakened as the distance from residences and roads increased due to the priority pathways of human activities, and the wind erosion around the residence was more severe than around the road. Human activities in the buffer zones 0\uffe2\uff80\uff93200 m from the residences most frequently caused severe wind erosion, with a wind soil loss of 25 t ha\uffe2\uff88\uff921 yr\uffe2\uff88\uff921 and a wind soil loss of approximately 5.25 t ha\uffe2\uff88\uff921 yr\uffe2\uff88\uff921 for 0\uffe2\uff80\uff9360 m from the roads. The characteristics of wind erosion variation in the buffer zones were also affected by residence size and the environments in which the residences were located. The variation in wind erosion was closely related to the road levels. Human activities intensified wind erosion mainly by affecting the soil and vegetation around residences and roads. Ecological management should not be limited to residences and roads but should also protect the surrounding environments. The findings of this study are aimed towards a spatial perspective that can help implement rational and effective environmental management measures for the sustainability of wind-eroded ecosystems.</p>", "keywords": ["2. Zero hunger", "Conservation of Natural Resources", "Residence", "Temperate grassland", "Wind", "04 agricultural and veterinary sciences", "15. Life on land", "Grassland", "Article", "wind erosion; residence; road; temperate grassland; ecosystem management", "Road", "Soil", "13. Climate action", "Wind erosion", "11. Sustainability", "Humans", "0401 agriculture", " forestry", " and fisheries", "Ecosystem management", "Ecosystem", "Environmental Monitoring"], "contacts": [{"organization": "Zhuoli Zhou, Zhuodong Zhang, Wenbo Zhang, Jianyong Luo, Keli Zhang, Zihao Cao, Zhiqiang Wang,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/1660-4601/20/1/198/pdf"}, {"href": "https://www.mdpi.com/1660-4601/20/1/198/pdf"}, {"href": "https://doi.org/10.3390/ijerph20010198"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Environmental%20Research%20and%20Public%20Health", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/ijerph20010198", "name": "item", "description": "10.3390/ijerph20010198", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/ijerph20010198"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-23T00:00:00Z"}}, {"id": "10.5880/gfz.4.6.2021.001", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:24:41Z", "type": "Report", "title": "Major element stream water chemistry, compiled 10Be erosion rates, and analyses of weathering across an erosion-rate gradient in in southern Taiwan.", "description": "This dataset was used to analyse the link between chemical weathering and erosion rates across the southern tip of Taiwan. The weathering of silicate minerals is a key component of Earth\u2019s long-term carbon cycle, and it stabilises Earth\u2019s climate by sequestering carbon dioxide (CO2) from the atmosphere \u2013 thereby balancing CO2-emissions from the mantle. Conversely, the weathering of accessory carbonate and sulphides acts as a CO2 source. Chemical weathering is fundamentally dependent on the exposure of fresh minerals by erosion. With these data we investigated the link between the exposure of rocks by erosion and the chemical weathering of silicates, carbonates, and sulphides across a landscape with a significant erosion-rate gradient and comparatively little variation in runoff and lithology. This dataset includes new major element chemistry and water isotopes of river waters collected from across the southern tip of Taiwan as well as associated topographic and lithologic data (tab 1 in the excel table). Moreover, the data include a compilation of published 10Be-derived erosion rates from a subset of the sampled rivers (tab 2 in the excel file) and available major element chemistry from hotsprings in the region (tab 3 in the excel file). Using a mixing model, we derived the cation contributions from silicate and carbonate weathering as well as from hotspring and cyclic sources. Further, we estimated the erosion rates for each sample from the compiled 10Be data and the steepness of river channels, and we estimated saturation and pH in the weathering zone. For more information please refer to the associated data description file and especially to Bufe et al. (2021).", "keywords": ["erosion rate", "major element chemistry", "water isotopes", "EARTH SCIENCE &gt; SOLID EARTH &gt; GEOCHEMISTRY &gt; GEOCHEMICAL PROPERTIES &gt; ISOTOPE MEASUREMENTS", "EARTH SCIENCE SOLID EARTH GEOMORPHIC LANDFORMS PROCESSES FLUVIAL PROCESSES WEATHERING", "Taiwan", "hot springs", "15. Life on land", "EARTH SCIENCE &gt; SOLID EARTH &gt; GEOMORPHIC LANDFORMS/PROCESSES &gt; FLUVIAL PROCESSES &gt; WEATHERING", "rivers", "silicate and carbonate weathering", "Chemistry", "13. Climate action", "EARTH SCIENCE &gt; SOLID EARTH &gt; GEOCHEMISTRY &gt; GEOCHEMICAL PROCESSES &gt; CHEMICAL WEATHERING", "EARTH SCIENCE SOLID EARTH GEOCHEMISTRY GEOCHEMICAL PROPERTIES ISOTOPE MEASUREMENTS", "EARTH SCIENCE SOLID EARTH GEOCHEMISTRY GEOCHEMICAL PROCESSES CHEMICAL WEATHERING", "Natural Sciences"], "contacts": [{"organization": "Bufe, Aaron, Hovius, Niels, Emberson, Robert, Rugenstein, Jeremy K. C. , Galy, Albert, Hassenruck-Gudipati, Hima J., Chang, Jui-Ming,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5880/gfz.4.6.2021.001"}, {"rel": "self", "type": "application/geo+json", "title": "10.5880/gfz.4.6.2021.001", "name": "item", "description": "10.5880/gfz.4.6.2021.001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5880/gfz.4.6.2021.001"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10261/309080", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:25:08Z", "type": "Journal Article", "created": "2022-12-23", "title": "The Impact of Residences and Roads on Wind Erosion in a Temperate Grassland Ecosystem: A Spatially Oriented Perspective", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The existence of residences and roads is an important way in which human activity affects wind erosion in arid and semiarid environments. Studies assessing the impact of these elements on wind erosion have only focused on limited plots, and their threat of erosion to the surrounding environment has been ignored by many studies. This study was based on spatially overlayed analysis of independent wind erosion distribution simulated by the revised wind erosion equation (RWEQ) and remote-sensing-image-derived residence and road distribution data. Wind erosion at different distances from residences and roads was quantified at the landscape scale of a typical temperate grassland ecosystem, explicitly demonstrating the crucial impacts of both elements on wind erosion. The results showed that wind erosion weakened as the distance from residences and roads increased due to the priority pathways of human activities, and the wind erosion around the residence was more severe than around the road. Human activities in the buffer zones 0\u2013200 m from the residences most frequently caused severe wind erosion, with a wind soil loss of 25 t ha\u22121 yr\u22121 and a wind soil loss of approximately 5.25 t ha\u22121 yr\u22121 for 0\u201360 m from the roads. The characteristics of wind erosion variation in the buffer zones were also affected by residence size and the environments in which the residences were located. The variation in wind erosion was closely related to the road levels. Human activities intensified wind erosion mainly by affecting the soil and vegetation around residences and roads. Ecological management should not be limited to residences and roads but should also protect the surrounding environments. The findings of this study are aimed towards a spatial perspective that can help implement rational and effective environmental management measures for the sustainability of wind-eroded ecosystems.</p></article>", "keywords": ["2. Zero hunger", "Conservation of Natural Resources", "Residence", "Temperate grassland", "Wind", "04 agricultural and veterinary sciences", "15. Life on land", "Grassland", "Article", "wind erosion; residence; road; temperate grassland; ecosystem management", "Road", "Soil", "13. Climate action", "Wind erosion", "11. Sustainability", "Humans", "0401 agriculture", " forestry", " and fisheries", "Ecosystem management", "Ecosystem", "Environmental Monitoring"], "contacts": [{"organization": "Zhuoli Zhou, Zhuodong Zhang, Wenbo Zhang, Jianyong Luo, Keli Zhang, Zihao Cao, Zhiqiang Wang,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/1660-4601/20/1/198/pdf"}, {"href": "https://www.mdpi.com/1660-4601/20/1/198/pdf"}, {"href": "https://doi.org/10261/309080"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Environmental%20Research%20and%20Public%20Health", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/309080", "name": "item", "description": "10261/309080", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/309080"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-23T00:00:00Z"}}, {"id": "10261/309244", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:25:08Z", "type": "Other", "title": "Agricultural Land Degradation in the Czech Republic", "description": "Closed AccessI would like to thank the teams that worked on Tudi project no. 101000224, EU ITN SOPLAS project no. 955334, and on project no. LTC20001 \u201cFire effects on soils,\u201d which contributed to some of the results reported in this chapter.", "keywords": ["Land collectivization", "Soil sealing", "Wind erosion", "Soil erosion", "Wild fires", "Pesticides", "Soil compaction"], "contacts": [{"organization": "Zumr, David", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/309244"}, {"rel": "self", "type": "application/geo+json", "title": "10261/309244", "name": "item", "description": "10261/309244", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/309244"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "11590/469721", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:25:33Z", "type": "Journal Article", "created": "2023-08-03", "title": "Towards a better understanding of pathways of multiple co-occurring erosion processes on global cropland", "description": "Soil erosion is a complex process involving multiple natural and anthropic agents, causing the deterioration of multiple components comprising soil health. Here, we provide an estimate of the spatial patterns of cropland susceptibility to erosion by sheet and rill, gully, wind, tillage, and root crops harvesting and report the co-occurrence of these processes using a multi-model approach. In addition, to give a global overview of potential future changes, we identify the locations where these multiple concurrent soil erosion processes may be expected to intersect with projected dry/wet climate changes by 2070. Of a modelled 1.48 billion hectares (B ha) of global cropland, our results indicate that 0.56\u00a0B\u00a0ha (\u223c36% of the total area) are highly susceptible (classes 4 and 5) to a single erosion process, 0.27\u00a0B\u00a0ha (\u223c18% of the total area) to two processes and 0.02\u00a0B\u00a0ha (1.4% of the total area) to three or more processes. An estimated 0.82\u00a0B\u00a0ha of croplands are susceptible to possible increases in water (0.68\u00a0B\u00a0ha) and wind (0.14\u00a0B\u00a0ha) erosion. We contend that the presented set of estimates represents a basis for enhancing our foundational knowledge on the geography of soil erosion at the global scale. The generated insight on multiple erosion processes can be a useful starting point for decision-makers working with ex-post and ex-ante policy evaluation of the UN Sustainable Development Goal 15 (Life on Land) activities. Scientifically, this work provides the hitherto most comprehensive assessment of soil erosion risks at the global scale, based on state-of-the-art models.", "keywords": ["550", "IMPACT", "[SDV]Life Sciences [q-bio]", "multi-model approach", "Wind", "SEDIMENT", "Gully", "11. Sustainability", "info:eu-repo/classification/udc/631.4", "2. Zero hunger", "Multi-model approach", "Modelling; Multi-model approach; Water; Wind; Gully; Tillage; Crop harvesting", "Agriculture", "multi-modelski pristop", "Engineering (General). Civil engineering (General)", "4106 Soil sciences", "[SDV] Life Sciences [q-bio]", "gully", "veter", "Physical Sciences", "Water Resources", "tillage", "TA1-2040", "Life Sciences & Biomedicine", "pobiranje pridelka", "water", "Soil Science", "Environmental Sciences & Ecology", "Modelling", "Tillage", "modelling", "4104 Environmental management", "4105 Pollution and contamination", "EUROPEAN-UNION", "modeliranje", "jarkovna erozija", "wind", "AGRICULTURAL SOIL-EROSION", "Science & Technology", "WATER EROSION", "500", "Water", "15. Life on land", "Crop harvesting", "13. Climate action", "voda", "crop harvesting", "Environmental Sciences", "erozija zaradi obdelave tal", "WIND EROSION"]}, "links": [{"href": "https://doi.org/11590/469721"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11590/469721", "name": "item", "description": "11590/469721", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11590/469721"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-01T00:00:00Z"}}, {"id": "1808/33524", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:25:39Z", "type": "Journal Article", "created": "2020-01-03", "title": "Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land\u2013atmosphere model (GFDL AM4.0/LM4.0)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Dust emission is initiated when surface wind velocities exceed the threshold of wind erosion. Many dust models used constant threshold values globally. Here we use satellite products to characterize the frequency of dust events and land surface properties. By matching this frequency derived from Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue aerosol products with surface winds, we are able to retrieve a climatological monthly global distribution of the wind erosion threshold (Vthreshold) over dry and sparsely vegetated surfaces. This monthly two-dimensional threshold velocity is then implemented into the Geophysical Fluid Dynamics Laboratory coupled land\u2013atmosphere model (AM4.0/LM4.0). It is found that the climatology of dust optical depth (DOD) and total aerosol optical depth, surface PM10 dust concentrations, and the seasonal cycle of DOD are better captured over the \u201cdust belt\u201d (i.e., northern Africa and the Middle East) by simulations with the new wind erosion threshold than those using the default globally constant threshold. The most significant improvement is the frequency distribution of dust events, which is generally ignored in model evaluation. By using monthly rather than annual mean Vthreshold, all comparisons with observations are further improved. The monthly global threshold of wind erosion can be retrieved under different spatial resolutions to match the resolution of dust models and thus can help improve the simulations of dust climatology and seasonal cycles as well as dust forecasting.</p></article>", "keywords": ["[SDE] Environmental Sciences", "Climatology", "Mineral dusts", ":Desenvolupament hum\u00e0 i sostenible::Medi ambient [\u00c0rees tem\u00e0tiques de la UPC]", "550", "Erosi\u00f3 e\u00f2lica", "Physics", "QC1-999", "01 natural sciences", "Dust emission", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Medi ambient", "Chemistry", "Pols -- Control", "MODIS (Spectroradiometer)", "13. Climate action", "Climatologia", "Wind erosion", "Dust optical depth (DOD)", "QD1-999", "Dust control", "Geophysical Fluid Dynamics", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://acp.copernicus.org/articles/20/55/2020/acp-20-55-2020.pdf"}, {"href": "https://www.atmos-chem-phys.net/20/55/2020/acp-20-55-2020-supplement.pdf"}, {"href": "https://doi.org/1808/33524"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1808/33524", "name": "item", "description": "1808/33524", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1808/33524"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-03T00:00:00Z"}}, {"id": "PMC9450165", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:29:06Z", "type": "Journal Article", "created": "2022-08-23", "title": "TASOW \u2013 A tool for the automated selection of potential windbreaks", "description": "Wind erosion is a process in which soil particles are detached from soils and transported downwind. One effective measure to reduce wind erosion are vegetated windbreaks such as hedgerows as they reduce wind speeds and likewise the forces which detach and transport soil particles. However, the planting of new windbreaks is driven by policy decisions as well as planning considerations. To get an initial idea of potential locations for new windbreaks, we present an automated routine as a model in ESRI ArcGIS Pro to propose plantation locations. The main input to the model is a wind erosion risk map. The results are potential locations for windbreaks that are ranked according to their suitability. The model parameters are adjustable, transferable to other regions and can be altered by to the user's needs.\u2022Limit the wind erosion risk map to the most prone fields\u2022Selection of unprotected sites perpendicular to the main wind direction\u2022Suggestions for suitable sites for the potential planting of new windbreaks.", "keywords": ["Risk", "RWEQ", "Ecosystem service", "Science", "Q", "Soil protection", "04 agricultural and veterinary sciences", "Method Article", "15. Life on land", "01 natural sciences", "Wind erosion", "Land use", "0401 agriculture", " forestry", " and fisheries", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/PMC9450165"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/MethodsX", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC9450165", "name": "item", "description": "PMC9450165", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC9450165"}, {"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": "a0644b731e95ad77893edbe9f05065fe", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:29:18Z", "type": "Software", "title": "TASOW \u2013 A tool for the automated selection of potential windbreaks", "description": "Wind erosion is a process in which soil particles are detached from soils and transported downwind. One effective measure to reduce wind erosion are vegetated windbreaks such as hedgerows as they reduce wind speeds and likewise the forces which detach and transport soil particles. However, the planting of new windbreaks is driven by policy decisions as well as planning considerations. To get an initial idea of potential locations for new windbreaks, we present an automated routine as a model in ESRI ArcGIS Pro to propose plantation locations. The main input to the model is a wind erosion risk map. The results are potential locations for windbreaks that are ranked according to their suitability. The model parameters are adjustable, transferable to other regions and can be altered by to the user's needs. \u2022 Limit the wind erosion risk map to the most prone fields \u2022 Selection of unprotected sites perpendicular to the main wind direction \u2022 Suggestions for suitable sites for the potential planting of new windbreaks \u00a0 ****************************************************************** The data includes\u00a0 ArcGIS Pro Model as Toolbox Python script of the model Input data for study region Output data for study region \u00a0 Sources of the data are cited in the referenced and associated publication.", "keywords": ["Risk", "RWEQ", "soil protection", "Wind erosion", "ArcGIS Pro", "15. Life on land", "ModelBuilder", "ecosystem service", "Python"], "contacts": [{"organization": "Scheper, Simon, Kitzler, Barbara, Weninger, Thomas, Strauss, Peter, Michel, Kerstin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/a0644b731e95ad77893edbe9f05065fe"}, {"rel": "self", "type": "application/geo+json", "title": "a0644b731e95ad77893edbe9f05065fe", "name": "item", "description": "a0644b731e95ad77893edbe9f05065fe", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/a0644b731e95ad77893edbe9f05065fe"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-24T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?facets=true&soil_threats=wind+erosion+rate&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?facets=true&soil_threats=wind+erosion+rate&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?facets=true&soil_threats=wind+erosion+rate&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?facets=true&soil_threats=wind+erosion+rate&offset=8", "hreflang": "en-US"}], "numberMatched": 8, "numberReturned": 8, "distributedFeatures": [], "timeStamp": "2026-04-04T17:53:09.507925Z"}