{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.14185189", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:27Z", "type": "Dataset", "title": "Dataset: experiments on volatile organic compounds uptake by the active layer soils of Greenlandic permafrost areas", "description": "This dataset is associated with a publication currently under peer review (DOI and link to the publication will be updated upon its publication).  Permafrost serves as a significant carbon reservoir, storing up to 1700 petagrams of carbon accumulated over millennia. As global warming accelerates permafrost thaw, this carbon can be mobilized, with a fraction being transformed into volatile organic compounds (VOCs). These VOCs can influence atmospheric oxidizing capacity and contribute to the formation of secondary organic aerosols.  In this study, active layer soils\u2014the seasonally unfrozen layer above the permafrost\u2014were collected from two contrasting Greenlandic permafrost locations (Disko Island, and Kangerlussuaq) and incubated to investigate their role in soil-atmosphere VOC exchange. Laboratory incubations were conducted under controlled conditions, where a VOC mixture gas was continuously purged through jars containing the soil samples. Gas concentrations were monitored at the inlet and outlet using a PTR-ToF-MS, allowing for the estimation of VOC uptake rates based on the differences in VOC concentrations.  The results demonstrated that these soils actively function as VOC sinks, despite variations in their physicochemical properties. Soils from upper active layers showed relatively higher uptake capacities, with soil moisture, organic matter, and microbial carbon content identified as key factors influencing uptake rates. Additionally, uptake coefficients for several major VOC species were calculated, providing valuable data for future model development. Correlation analysis and varying uptake coefficients suggest that the sink is likely biotic, with selective preferences for different VOCs.\u00a0The findings indicate that the development of a deeper active layer under climate change could enhance the soil\u2019s sink capacity and mitigate net VOC emissions from permafrost thaw.  Detailed methods and interpretations of the results can be found in the associated publication.", "keywords": ["volatile organic compounds", "Disko Island", "active layer", "sink", "Kangerlussuaq", "permafrost"], "contacts": [{"organization": "Jiao, Yi, Kramsh\u00f8j, Magnus, Davie-Martin, Cleo, Elberling, Bo, Rinnan, Riikka,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14185189"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14185189", "name": "item", "description": "10.5281/zenodo.14185189", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14185189"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-19T00:00:00Z"}}, {"id": "04869b29-f7a1-4dc0-9ccb-581fafa88983", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.5, 53.2], [13.5, 53.44], [14.28, 53.44], [14.28, 53.2], [13.5, 53.2]]]}, "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": "2024-02-29", "type": "Service", "created": "2024-02-15", "language": "eng", "title": "Web Map Service of the dataset 'Vegetation data from field boundaries on outer field borders and around habitat islands on the field'", "description": "This Web Map Service includes spatial information used by the dataset 'Vegetation data from field boundaries on outer field borders and around habitat islands on the field'", "keywords": ["infoMapAccessService", "vegetation", "kettle holes", "Germany", "Brandenburg", "Uckermark", "field boundary; field margin; crop edge; kettle hole; habitat island; arable vegetation"], "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": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Ines Heyer", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Ines.heyer@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0005-5270-7053", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Ines Heyer", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Ines.heyer@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0005-5270-7053", "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": "vegetation"}, {"id": "kettle holes"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Uckermark"}], "scheme": "individual"}, {"concepts": [{"id": "field boundary; field margin; crop edge; kettle hole; habitat island; arable vegetation"}], "scheme": "individual"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid= 04869b29-f7a1-4dc0-9ccb-581fafa88983", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Zalf/ID_5143_Vegetation/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "04869b29-f7a1-4dc0-9ccb-581fafa88983", "name": "item", "description": "04869b29-f7a1-4dc0-9ccb-581fafa88983", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/04869b29-f7a1-4dc0-9ccb-581fafa88983"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-29T00:00:00Z"}}, {"id": "10.1007/s10460-009-9239-0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:17Z", "type": "Journal Article", "created": "2009-09-22", "title": "The Shifting Ground Of Swidden Agriculture On Palawan Island, The Philippines", "description": "Recent literature describing the process and pathways of the agrarian transition in Southeast Asia suggests that the rise of agricultural intensification and the growth of commodity markets will lead to the demise of swidden agriculture. This paper offers a longitudinal overview of the conditions that drive the agrarian transition amongst indigenous swidden cultivators and migrant paddy farmers in central Palawan Island, the Philippines. In line with regional agrarian change, we describe how a history of conservation policies has criminalized and pressured swidden farmers to adopt more intensive \u201cmodern\u201d agricultural practices. We examine how indigenous swidden cultivators adjust their practice in response to recent changes in policies, security of harvests, and socio-cultural values vis-a-vis intensification. Rather than suggest that this transition will lead to the demise of swidden, results reveal that farmers instead negotiate a shifting ground in which they lean on and value swidden as a means of negotiating agrarian change.", "keywords": ["Persistence", "2. Zero hunger", "Palawan Island", "Agrarian transition", "0211 other engineering and technologies", "1102 Agronomy and Crop Science", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Indigenous", "333", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Dressler, W, Pulhin, J,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s10460-009-9239-0"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%20and%20Human%20Values", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10460-009-9239-0", "name": "item", "description": "10.1007/s10460-009-9239-0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10460-009-9239-0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-09-23T00:00:00Z"}}, {"id": "10.1016/j.chemgeo.2018.03.030", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:22Z", "type": "Journal Article", "created": "2018-03-20", "title": "The stable strontium isotopic composition of ocean island basalts, mid-ocean ridge basalts, and komatiites", "description": "Ocean island basalts Mid-ocean ridge basalts Komatiites Kilauea Iki Bulk silicate earth A B S T R A C T The radiogenic 87 Rb-87 Sr system has been widely applied to the study of geological and planetary processes. In contrast, the stable Sr isotopic composition of the bulk silicate Earth (BSE) and the effects of igneous differentiation on stable Sr isotopes are not well-established. Here we report the stable Sr isotope (88 Sr/ 86 Sr, reported as \u03b4 88/86 Sr, in parts per mil relative to NIST SRM 987) compositions for ocean islands basalts (OIB), mid-ocean ridge basalts (MORB) and komatiites from a variety of locations. Stable Sr isotopes display limited fractionation in a OIB sample suite from the Kilauea Iki lava lake suggesting that igneous processes have limited effect on stable Sr isotope fractionation (\u00b1 0.12\u2030 over 20% MgO variation; 2sd). In addition, OIB (\u03b4 88/ 86 Sr = 0.16-0.46\u2030; average 0.28 \u00b1 0.17\u2030), MORB (\u03b4 88/86 Sr = 0.27-0.34\u2030; average 0.31 \u00b1 0.05\u2030) and komatiites (\u03b4 88/86 Sr = 0.20-0.97\u2030; average 0.41 \u00b1 0.16\u2030) from global localities exhibit broadly similar Sr stable isotopic compositions. Heavy stable Sr isotope compositions (\u03b4 88/86 Sr > 0.5\u2030) in some Barberton Greenstone belt komatiites may reflect Archean seawater alteration or metamorphic processes and preferential removal of the lighter isotopes of Sr. To first order, the similarity among OIBs from three different ocean basins suggests homogeneity of stable Sr isotopes in the mantle. Earth's mantle stable Sr isotopic composition is established from the data on OIB, MORB and komatiites to be \u03b4 88/86 Sr = 0.30 \u00b1 0.02\u2030 (2sd). The BSE \u03b4 88/86 Sr value is identical, within uncertainties, to the composition of carbonaceous chondrites (\u03b4 88/ 86 Sr = 0.29 \u00b1 0.06\u2030; 2sd) measured in this study.", "keywords": ["Ocean island basalts", "Bulk silicate earth", "Sr isotopes", "Mid-ocean ridge basalts", "Kilauea Iki", "13. Climate action", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "14. Life underwater", "Komatiites", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.chemgeo.2018.03.030"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Chemical%20Geology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.chemgeo.2018.03.030", "name": "item", "description": "10.1016/j.chemgeo.2018.03.030", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.chemgeo.2018.03.030"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-01T00:00:00Z"}}, {"id": "10.1016/j.gca.2016.06.008", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:53Z", "type": "Journal Article", "created": "2016-06-20", "title": "Silicon isotopes reveal recycled altered oceanic crust in the mantle sources of Ocean Island Basalts", "description": "Open Access23 pages, 5 figures, 2 tables", "keywords": ["Ocean Island Basalts", "Earth and Planetary Astrophysics (astro-ph.EP)", "GE", "550", "NDAS", "500", "Silicon isotopes", "FOS: Physical sciences", "7. Clean energy", "01 natural sciences", "12. Responsible consumption", "[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "13. Climate action", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "Recycling", "14. Life underwater", "BDC", "Mantle heterogeneity", "GE Environmental Sciences", "Astrophysics - Earth and Planetary Astrophysics", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.gca.2016.06.008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geochimica%20et%20Cosmochimica%20Acta", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.gca.2016.06.008", "name": "item", "description": "10.1016/j.gca.2016.06.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.gca.2016.06.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-09-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2021.152880", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:17:25Z", "type": "Journal Article", "created": "2022-01-06", "title": "Exploring the potential role of environmental and multi-source satellite data in crop yield prediction across Northeast China", "description": "Open AccessLe d\u00e9veloppement d'un syst\u00e8me pr\u00e9cis de pr\u00e9diction du rendement des cultures \u00e0 grande \u00e9chelle est d'une importance primordiale pour la gestion des ressources agricoles et la s\u00e9curit\u00e9 alimentaire mondiale. L'observation de la Terre fournit une source unique d'informations pour surveiller les cultures \u00e0 partir d'une diversit\u00e9 de gammes spectrales. Cependant, l'utilisation int\u00e9gr\u00e9e de ces donn\u00e9es et de leurs valeurs dans la pr\u00e9diction du rendement des cultures est encore peu \u00e9tudi\u00e9e. Ici, nous avons propos\u00e9 la combinaison de donn\u00e9es environnementales (climat, sol, g\u00e9ographie et topographie) avec de multiples donn\u00e9es satellitaires (indices de v\u00e9g\u00e9tation optiques, fluorescence induite par le soleil (SIF), temp\u00e9rature de surface du sol (LST) et profondeur optique de la v\u00e9g\u00e9tation micro-ondes (VOD)) dans le cadre pour estimer le rendement des cultures de ma\u00efs, de riz et de soja dans le nord-est de la Chine, et leur valeur unique et leur influence relative sur la pr\u00e9diction du rendement ont \u00e9t\u00e9 \u00e9valu\u00e9es. Deux m\u00e9thodes de r\u00e9gression lin\u00e9aire, trois m\u00e9thodes d'apprentissage automatique (ML) et un mod\u00e8le d'ensemble ML ont \u00e9t\u00e9 adopt\u00e9s pour construire des mod\u00e8les de pr\u00e9diction de rendement. Les r\u00e9sultats ont montr\u00e9 que les m\u00e9thodes individuelles de ML surpassaient les m\u00e9thodes de r\u00e9gression lin\u00e9aire, le mod\u00e8le d'ensemble de ML a encore am\u00e9lior\u00e9 les mod\u00e8les de ML uniques. De plus, les mod\u00e8les avec plus d'intrants ont obtenu de meilleures performances, la combinaison de donn\u00e9es satellitaires avec des donn\u00e9es environnementales, qui expliquaient respectivement 72\u00a0%, 69\u00a0% et 57\u00a0% de la variabilit\u00e9 du rendement du ma\u00efs, du riz et du soja, a d\u00e9montr\u00e9 des performances de pr\u00e9diction du rendement sup\u00e9rieures \u00e0 celles des intrants individuels. Alors que les donn\u00e9es satellitaires ont contribu\u00e9 \u00e0 la pr\u00e9diction du rendement des cultures principalement au d\u00e9but de la pointe de la saison de croissance, les donn\u00e9es climatiques ont fourni des informations suppl\u00e9mentaires principalement \u00e0 la pointe de la fin de la saison. Nous avons \u00e9galement constat\u00e9 que l'utilisation combin\u00e9e de l'IVE, du LST et du SIF a am\u00e9lior\u00e9 la pr\u00e9cision du mod\u00e8le par rapport au mod\u00e8le d'IVE de r\u00e9f\u00e9rence. Cependant, les indices de v\u00e9g\u00e9tation bas\u00e9s sur l'optique partageaient des informations similaires et ne fournissaient pas beaucoup d'informations suppl\u00e9mentaires au-del\u00e0 de l'IVE. Les pr\u00e9visions de rendement en cours de saison ont montr\u00e9 que les rendements des cultures peuvent \u00eatre pr\u00e9vus de mani\u00e8re satisfaisante deux \u00e0 trois mois avant la r\u00e9colte. La g\u00e9ographie, la topographie, la VOD, l'IVE, les param\u00e8tres hydrauliques du sol et les param\u00e8tres nutritifs sont plus importants pour la pr\u00e9diction du rendement des cultures.", "keywords": ["Atmospheric sciences", "Climate", "Multi-source satellite data", "Normalized Difference Vegetation Index", "Engineering", "Pathology", "Climate change", "Urban Heat Islands and Mitigation Strategies", "Linear regression", "2. Zero hunger", "Global and Planetary Change", "Vegetation Monitoring", "Ecology", "Geography", "Statistics", "Agriculture", "Geology", "Remote Sensing in Vegetation Monitoring and Phenology", "04 agricultural and veterinary sciences", "Remote sensing", "Aerospace engineering", "Archaeology", "Physical Sciences", "Metallurgy", "Medicine", "Seasons", "Global Vegetation Models", "Biomass Estimation", "Regression analysis", "Vegetation (pathology)", "Crops", " Agricultural", "Environmental Engineering", "Environmental data", "Yield (engineering)", "Zea mays", "Environmental science", "Machine learning", "FOS: Mathematics", "Crop yield", "Biology", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "Predictive modelling", "Food security", "FOS: Earth and related environmental sciences", "15. Life on land", "Agronomy", "Materials science", "Yield prediction", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Growing season", "0401 agriculture", " forestry", " and fisheries", "Mathematics"], "contacts": [{"organization": "Zhenwang Li, Lei Ding, Donghui Xu,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2021.152880"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2021.152880", "name": "item", "description": "10.1016/j.scitotenv.2021.152880", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2021.152880"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-01T00:00:00Z"}}, {"id": "10.1038/s42949-024-00154-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:18:29Z", "type": "Journal Article", "created": "2024-03-16", "title": "Urban greenspaces and nearby natural areas support similar levels of soil ecosystem services", "description": "Abstract<p>Greenspaces are important for sustaining healthy urban environments and their human populations. Yet their capacity to support multiple ecosystem services simultaneously (multiservices) compared with nearby natural ecosystems remains virtually unknown. We conducted a global field survey in 56 urban areas to investigate the influence of urban greenspaces on 23 soil and plant attributes and compared them with nearby natural environments. We show that, in general, urban greenspaces and nearby natural areas support similar levels of soil multiservices, with only six of 23 attributes (available phosphorus, water holding capacity, water respiration, plant cover, arbuscular mycorrhizal fungi (AMF), and arachnid richness) significantly greater in greenspaces, and one (available ammonium) greater in natural areas. Further analyses showed that, although natural areas and urban greenspaces delivered a similar number of services at low (&gt;25% threshold) and moderate (&gt;50%) levels of functioning, natural systems supported significantly more functions at high (&gt;75%) levels of functioning. Management practices (mowing) played an important role in explaining urban ecosystem services, but there were no effects of fertilisation or irrigation. Some services declined with increasing site size, for both greenspaces and natural areas. Our work highlights the fact that urban greenspaces are more similar to natural environments than previously reported and underscores the importance of managing urban greenspaces not only for their social and recreational values, but for supporting multiple ecosystem services on which soils and human well-being depends.</p", "keywords": ["Medio ambiente natural", "2410.05 Ecolog\u00eda Humana", "Health", " Toxicology and Mutagenesis", "0211 other engineering and technologies", "710", "Urban Green Space", "02 engineering and technology", "01 natural sciences", "zelene povr\u0161ine", "ekosistemske storitve", " zelene povr\u0161ine", " urbani gozdovi", " tla", "Urban planning", "Natural (archaeology)", "11. Sustainability", "Urban Heat Islands and Mitigation Strategies", "info:eu-repo/classification/udc/630*1:630*9", "2. Zero hunger", "Global and Planetary Change", "Global Analysis of Ecosystem Services and Land Use", "Geography", "Ecology", "2417.13 Ecolog\u00eda Vegetal", "Carbon cycle", "3. Good health", "soil", " ecosystem services", " urban forests", "2511 Ciencias del Suelo (Edafolog\u00eda)", "Archaeology", "Physical Sciences", "urban forests", "HT361-384", "Ecolog\u00eda (Biolog\u00eda)", "Urbanization. City and country", "Environmental Engineering", "711.4:911.375", "631.4", "Environmental science", "soil", "12. Responsible consumption", "Impact of Urban Green Space on Public Health", "Urban ecosystem", "XXXXXX - Unknown", "Ecosystem services", "14. Life underwater", "Agroforestry", "info:eu-repo/classification/udc/630*1", "Biology", "City planning", "Ecosystem", "0105 earth and related environmental sciences", "SDG-15: Life on land", "tla", "FOS: Environmental engineering", "15. Life on land", "ekosistemske storitve", "Urban ecology", "HT165.5-169.9", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "urbani gozdovi", "502.3", "ecosystem services"]}, "links": [{"href": "https://www.nature.com/articles/s42949-024-00154-z.pdf"}, {"href": "https://doi.org/10.1038/s42949-024-00154-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/npj%20Urban%20Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s42949-024-00154-z", "name": "item", "description": "10.1038/s42949-024-00154-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s42949-024-00154-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-16T00:00:00Z"}}, {"id": "10.1073/pnas.1809164116", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:18:46Z", "type": "Journal Article", "created": "2019-01-04", "title": "Titanium isotopes as a tracer for the plume or island arc affinity of felsic rocks", "description": "Significance           <p>             The debate on the onset of plate tectonics in the Earth\uffe2\uff80\uff99s history has partially originated from the controversial criteria of using felsic crust to trace plate tectonics in the past. Here, we demonstrate how Ti isotope ratios can be used as a proxy for the affinity of felsic rocks to plume or island arc settings. Our study shows that, contrary to what was previously assumed, Ti isotopes cannot serve as a direct evidence for plate tectonics from 3.5 billion years ago, and must be combined with other information on SiO             2             contents of crustal rocks to be reliable.           </p>", "keywords": ["Titanium isotopes", "Plume", "Magma differentiation", "magma differentiation", "GE", "550", "plume", "Plate tectonics", "[SDU.STU.TE] Sciences of the Universe [physics]/Earth Sciences/Tectonics", "DAS", "island arc", "7. Clean energy", "01 natural sciences", "13. Climate action", "plate tectonics", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "Island arc", "titanium isotopes", "GE Environmental Sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://pnas.org/doi/pdf/10.1073/pnas.1809164116"}, {"href": "https://doi.org/10.1073/pnas.1809164116"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20National%20Academy%20of%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1073/pnas.1809164116", "name": "item", "description": "10.1073/pnas.1809164116", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1073/pnas.1809164116"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-03T00:00:00Z"}}, {"id": "10.1088/1748-9326/ac9198", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:19:02Z", "type": "Journal Article", "created": "2022-09-13", "title": "Vertical pattern of organic matter decomposability in cryoturbated permafrost-affected soils", "description": "Abstract                <p>Permafrost thaw will release additional carbon dioxide into the atmosphere resulting in a positive feedback to climate change. However, the mineralization dynamics of organic matter (OM) stored in permafrost-affected soils remain unclear. We used physical soil fractionation, radiocarbon measurements, incubation experiments, and a dynamic decomposition model to identify distinct vertical pattern in OM decomposability. The observed differences reflect the type of OM input to the subsoil, either by cryoturbation or otherwise, e.g. by advective water-borne transport of dissolved OM. In non-cryoturbated subsoil horizons, most OM is stabilized at mineral surfaces or by occlusion in aggregates. In contrast, pockets of OM-rich cryoturbated soil contain sufficient free particulate OM for microbial decomposition. After thaw, OM turnover is as fast as in the upper active layer. Since cryoturbated soils store ca. 450 Pg carbon, identifying differences in decomposability according to such translocation processes has large implications for the future global carbon cycle and climate, and directs further process model development.</p", "keywords": ["ISLAND", "SIBERIA", "RADIOCARBON", "Science", "QC1-999", "Environmental technology. Sanitary engineering", "01 natural sciences", "GE1-350", "fractionation", "BUDGETS", "Lena-Delta", "residence time", "TD1-1066", "0105 earth and related environmental sciences", "LANDSCAPE", "DELTA", "carbon", "Physics", "Q", "SITE", "04 agricultural and veterinary sciences", "15. Life on land", "Environmental sciences", "13. Climate action", "transport", "radiocarbon", "0401 agriculture", " forestry", " and fisheries", "CARBON STOCKS", "STORAGE"]}, "links": [{"href": "https://doi.org/10.1088/1748-9326/ac9198"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1088/1748-9326/ac9198", "name": "item", "description": "10.1088/1748-9326/ac9198", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1088/1748-9326/ac9198"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-23T00:00:00Z"}}, {"id": "21.11116/0000-000B-2A22-0", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:26:38Z", "type": "Journal Article", "created": "2022-09-13", "title": "Vertical pattern of organic matter decomposability in cryoturbated permafrost-affected soils", "description": "Abstract                <p>Permafrost thaw will release additional carbon dioxide into the atmosphere resulting in a positive feedback to climate change. However, the mineralization dynamics of organic matter (OM) stored in permafrost-affected soils remain unclear. We used physical soil fractionation, radiocarbon measurements, incubation experiments, and a dynamic decomposition model to identify distinct vertical pattern in OM decomposability. The observed differences reflect the type of OM input to the subsoil, either by cryoturbation or otherwise, e.g. by advective water-borne transport of dissolved OM. In non-cryoturbated subsoil horizons, most OM is stabilized at mineral surfaces or by occlusion in aggregates. In contrast, pockets of OM-rich cryoturbated soil contain sufficient free particulate OM for microbial decomposition. After thaw, OM turnover is as fast as in the upper active layer. Since cryoturbated soils store ca. 450 Pg carbon, identifying differences in decomposability according to such translocation processes has large implications for the future global carbon cycle and climate, and directs further process model development.</p", "keywords": ["ISLAND", "SIBERIA", "RADIOCARBON", "Science", "QC1-999", "Environmental technology. Sanitary engineering", "01 natural sciences", "GE1-350", "fractionation", "BUDGETS", "Lena-Delta", "residence time", "TD1-1066", "0105 earth and related environmental sciences", "LANDSCAPE", "DELTA", "carbon", "Physics", "Q", "SITE", "04 agricultural and veterinary sciences", "15. Life on land", "Environmental sciences", "13. Climate action", "transport", "radiocarbon", "0401 agriculture", " forestry", " and fisheries", "CARBON STOCKS", "STORAGE"]}, "links": [{"href": "https://doi.org/21.11116/0000-000B-2A22-0"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "21.11116/0000-000B-2A22-0", "name": "item", "description": "21.11116/0000-000B-2A22-0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.11116/0000-000B-2A22-0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-23T00:00:00Z"}}, {"id": "10.1890/15-0302.1", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-23T16:20:44Z", "type": "Journal Article", "created": "2015-07-13", "title": "Nutrient fluxes from insect herbivory increase during ecosystem retrogression in boreal forest", "description": "Abstract<p>Ecological theory, developed largely from ungulates and grassland systems, predicts that herbivory accelerates nutrient cycling more in productive than unproductive systems. This prediction may be important for understanding patterns of ecosystem change over time and space, but its applicability to other ecosystems and types of herbivore remain uncertain. We estimated fluxes of nitrogen (N) and phosphorus (P) from herbivory of a common tree species (Betula pubescens) by a common species of herbivorous insect along a ~5000\uffe2\uff80\uff90yr boreal chronosequence. Contrary to established theory, fluxes of N and P via herbivory increased along the chronosequence despite a decline in plant productivity. The herbivore\uffe2\uff80\uff90mediated N and P fluxes to the soil are comparable to the main alternative pathway for these nutrients via tree leaf litterfall. We conclude that insect herbivores can make large contributions to nutrient cycling even in unproductive systems, and influence the rate and pattern of ecosystem development, particularly in systems with low external nutrient inputs.</p", "keywords": ["Islands", "Sweden", "2. Zero hunger", "0106 biological sciences", "Insecta", "Nitrogen", "Phosphorus", "Forests", "15. Life on land", "01 natural sciences", "13. Climate action", "Animals", "Herbivory", "Environmental Monitoring"]}, "links": [{"href": "https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1890/15-0302.1"}, {"href": "https://doi.org/10.1890/15-0302.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1890/15-0302.1", "name": "item", "description": "10.1890/15-0302.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1890/15-0302.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.24057/2071-9388-2019-10", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:21:20Z", "type": "Journal Article", "created": "2019-11-26", "title": "Simultaneous assessment of the summer urban heat island in Moscow megacity based on in situ observations, thermal satellite images and mesoscale modeling", "description": "<p>This study compares three popular approaches to quantify the urban heat island (UHI) effect in Moscow megacity in a summer season (June-August 2015). The first approach uses the measurements of the near-surface air temperature obtained from weather stations, the second is based on remote sensing from thermal imagery of MODIS satellites, and the third is based on the numerical simulations with the mesoscale atmospheric model COSMO-CLM coupled with the urban canopy scheme TERRA_URB. The first approach allows studying the canopy-layer UHI (CLUHI, or anomaly of a near- surface air temperature), while the second allows studying the surface UHI (SUHI, or anomaly of a land surface temperature), and both types of the UHI could be simulated by the atmospheric model. These approaches were compared in the daytime, evening and nighttime conditions. The results of the study highlight a substantial difference between the SUHI and CLUHI in terms of the diurnal variation and spatial structure. The strongest differences are found at the daytime, at which the SUHI reaches the maximal intensity (up to 10\uffc2\uffb0\uffd0\uffa1) whereas the CLUHI reaches the minimum intensity (1.5\uffc2\uffb0\uffd0\uffa1). However, there is a stronger consistency between CLUHU and SUHI at night, when their intensities converge to 5\uffe2\uff80\uff936\uffc2\uffb0\uffd0\uffa1. In addition, the nighttime CLUHI and SUHI have similar monocentric spatial structure with a temperature maximum in the city center. The presented findings should be taken into account when interpreting and comparing the results of UHI studies, based on the different approaches. The mesoscale model reproduces the CLUHI-SUHI relationships and provides good agreement with in situ observations on the CLUHI spatiotemporal variations (with near-zero biases for daytime and nighttime CLUHI intensity and correlation coefficients more than 0.8 for CLUHI spatial patterns). However, the agreement of the simulated SUHI with the remote sensing data is lower than agreement of the simulated CLUHI with in situ measurements. Specifically, the model tends to overestimate the daytime SUHI intensity. These results indicate a need for further in-depth investigation of the model behavior and SUHI\uffe2\uff80\uff93CLUHI relationships in general.</p>", "keywords": ["modis", "Geography (General)", "COSMO", "suhi", "0207 environmental engineering", "uhi", "land surface temperature", "UHI", "urban heat island", "moscow", "02 engineering and technology", "Moscow", "01 natural sciences", "thermal satellite images", "remote sensing", "MODIS", "13. Climate action", "Earth and Environmental Sciences", "SUHI", "cosmo", "urban climate", "11. Sustainability", "G1-922", "mesoscale modelling", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Varentsov, Mikhail I., Grishchenko, Mikhail Y., Wouters, Hendrik,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.24057/2071-9388-2019-10"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GEOGRAPHY%2C%20ENVIRONMENT%2C%20SUSTAINABILITY", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.24057/2071-9388-2019-10", "name": "item", "description": "10.24057/2071-9388-2019-10", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.24057/2071-9388-2019-10"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-31T00:00:00Z"}}, {"id": "10.22541/au.164212487.73179731/v1", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:21:15Z", "type": "Journal Article", "created": "2022-01-14", "title": "Community assembly and metaphylogeography of soil biodiversity: insights from haplotype-level community DNA metabarcoding within an oceanic island", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p id='p1'>Most of our understanding of island diversity comes from the study of aboveground systems, while the patterns and processes of diversification and community assembly for belowground biotas remain poorly understood. Here we take advantage of a relatively young and dynamic oceanic island to advance our understanding of eco-evolutionary processes driving community assembly within soil mesofauna. Using whole organism community DNA (wocDNA) metabarcoding and the recently developed metaMATE pipeline, we have generated spatially explicit and reliable haplotype-level DNA sequence data for soil mesofaunal assemblages sampled across the four main habitats within the island of Tenerife. Community ecological and metaphylogeographic analyses have been performed at multiple levels of genetic similarity, from haplotypes to species and supraspecific groupings. Broadly consistent patterns of local-scale species richness across different insular habitats have been found, whereas local insular richness is lower than in continental settings. Our results reveal an important role for niche conservatism as a driver of insular community assembly of soil mesofauna, with only limited evidence for habitat shifts promoting diversification. Furthermore, support is found for a fundamental role of habitat in the assembly of soil mesofauna, where habitat specialism is mainly due to colonisation and the establishment of preadapted species. Hierarchical patterns of distance decay at the community level and metaphylogeographical analyses support a pattern of geographic structuring over limited spatial scales, from the level of haplotypes through to species and lineages, as expected for taxa with strong dispersal limitations. Our results demonstrate the potential for wocDNA metabarcoding to advance our understanding of biodiversity.</p></article>", "keywords": ["0106 biological sciences", "0301 basic medicine", "570", "island biogeography", "500", "Original Articles", "Biodiversity", "DNA", "15. Life on land", "Soil biodiversity", "01 natural sciences", "Soil", "03 medical and health sciences", "Haplotypes", "Collembola", "DNA Barcoding", " Taxonomic", "14. Life underwater", "Acari", "Ecosystem", "mesofauna"]}, "links": [{"href": "https://doi.org/10.22541/au.164212487.73179731/v1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Molecular%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.22541/au.164212487.73179731/v1", "name": "item", "description": "10.22541/au.164212487.73179731/v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.22541/au.164212487.73179731/v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-14T00:00:00Z"}}, {"id": "10.3390/land10090964", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:21:44Z", "type": "Journal Article", "created": "2021-09-12", "title": "The Impact of Soil-Improving Cropping Practices on Erosion Rates: A Stakeholder-Oriented Field Experiment Assessment", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The risk of erosion is particularly high in Mediterranean areas, especially in areas that are subject to a not so effective agricultural management\u2013or with some omissions\u2013, land abandonment or wildfires. Soils on Crete are under imminent threat of desertification, characterized by loss of vegetation, water erosion, and subsequently, loss of soil. Several large-scale studies have estimated average soil erosion on the island between 6 and 8 Mg/ha/year, but more localized investigations assess soil losses one order of magnitude higher. An experiment initiated in 2017, under the framework of the SoilCare H2020 EU project, aimed to evaluate the effect of different management practices on the soil erosion. The experiment was set up in control versus treatment experimental design including different sets of treatments, targeting the most important cultivations on Crete (olive orchards, vineyards, fruit orchards). The minimum-to-no tillage practice was adopted as an erosion mitigation practice for the olive orchard study site, while for the vineyard site, the cover crop practice was used. For the fruit orchard field, the crop-type change procedure (orange to avocado) was used. The experiment demonstrated that soil-improving cropping techniques have an important impact on soil erosion, and as a result, on soil water conservation that is of primary importance, especially for the Mediterranean dry regions. The demonstration of the findings is of practical use to most stakeholders, especially those that live and work with the local land.</p></article>", "keywords": ["ISLAND", "Environmental Studies", "Environmental Sciences & Ecology", "VINEYARDS", "soil-improving crop systems", "COVER CROPS", "3301 Architecture", "PARAMETERS", "4104 Environmental management", "EQUATION", "RUNOFF", "0502 Environmental Science and Management", "sustainable land management", "2. Zero hunger", "Science & Technology", "soil erosion", "S", "3304 Urban and regional planning", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "GIS", "6. Clean water", "sustainable agriculture", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "CRETE", "Life Sciences & Biomedicine"]}, "links": [{"href": "http://www.mdpi.com/2073-445X/10/9/964/pdf"}, {"href": "https://www.mdpi.com/2073-445X/10/9/964/pdf"}, {"href": "https://doi.org/10.3390/land10090964"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/land10090964", "name": "item", "description": "10.3390/land10090964", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/land10090964"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-12T00:00:00Z"}}, {"id": "10.5061/dryad.51c59zwgj", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:22:12Z", "type": "Dataset", "created": "2024-04-02", "title": "Data from: Evidence for reductions in physical and chemical plant defense traits in island flora", "description": "Open Access# Evidence for Reductions in Physical and Chemical Plant Defense Traits in  Island Flora  [https://doi.org/10.5061/dryad.51c59zwgj](https://doi.org/10.5061/dryad.51c59zwgj) This dataset consists of three primary data sources: (1) Morphological and chemical measurements of leaf traits, collected from five taxonomic pairs of chaparral shrubs (*Ceanothus megacarpus*, *Cercocarpus betuloides*, *Dendromecon rigida/harfordii*, *Heteromeles arbutifolia*, *Prunus ilicifolia*) at three sites on the California Channel Islands (Santa Rosa, Santa Cruz, Santa Catalina) and three sites on the California mainland. (2) Morphological and chemical measurements of the same leaf traits from the same species, but this time measured from plants growing at botanic gardens (3) Morphological, chemical, and biomass data from a common garden experiment with *Stachys bullata*, with genotypes from two islands (Santa Rosa, Santa Cruz) and four mainland locations In addition, our analysis also includes bioclimatic data and local precipitation data accessed from publicly available sources. ## Description of the data and file structure This dataset is organized into two folders: **data_files** and **scripts** --- ***DATA_FILES*** Within the **data_files** folder, there are folders for '**Shrubs**' (corresponding to 1 and 2 above) and '**Stachys**' (corresponding to 3 above). **SHRUBS** The **Shrubs** folder contains one file (**Bowen and Van Vuren Effect Sizes.xlsx**), which summarizes the results from Bowen and Van Vuren (1997 ([https://www.jstor.org/stable/2387407](https://www.jstor.org/stable/2387407), directly as reported in their Tables 2, 3, 4, and 5 in the main text. Variables in this datafile include: 1. Trait - the plant trait that was measured in their study 2. Genus - the taxonomic unit being measured 3. t - the value of the t-statistic from a paired t-test of island vs. mainland samples for a given genus 4. n island - sample size for island plants 5. n mainland - sample size for mainland plants 6. Cohen's D - derived value that expresses insularity effect size for a given measure The **Shrubs** folder also contains four subfolders: **Cyanide**, **Images**, **Mapping**, and **Morphology** The **Cyanide** folder contains two files: 1. **cyanide_calibration.csv** - file containing measurements used to define calibration curve for quantifying evolved HCN from leaf tissue. 1. conc = concentration of potassium cyanide (KCN) standard used in calibration (mg/L) 2. abs = absorbance value returned by VWR V-1200 spectrometer, measured at 510 nm 2. **cyanide_measurements.csv** - file containing measurements of evolved HCN from field and botanic garden leaf tissue. PlantID values are the same as those reported for all other morphological measurements. 'NA' values in this dataset correspond to samples whose absorbance values were outside the range of our calibration curve or that were otherwise not suitable to include in analysis. 1. Age = whether leaf tissue was newly expanded ('young') or mature ('old') 2. Tissue_Mass = amount of frozen tissue used in assay (mg) 3. Dilution 1 = amount of water (mL) into which evolved HCN (in NaOH) was added prior to titration with citric acid. This value is 30 mL for all samples. 4. Dilution 2 = dilution factor. Here, a value of 1 means that 5 mL of citrate buffer was mixed with 5 mL water (1:1 ratio) and used in the subsequent reaction. A value of 10 means that 1 mL of citrate buffer was mixed with 10 mL water (1:10 ratio). 5. Sample Concentration = concentration of HCN in sample (mg/L), calculated using the calibration curve above. Samples with absorbance values above 0.500 were omitted and re-measured at reduced concentration, as this was beyond the concentration limit recommended by the manufacturer instructions. 6. Tissue Concentration = value relating dilution factor and sample mass to sample concentration. Expressed in milligrams of HCN per gram of leaf tissue. The **Images** folder contains all scanned leaf images (n = 626). File names correspond to plant species, plant ID, sampling site, and canopy position (see chaparral_leaf_morphology.csv below for a full description). So, for example, CMEG44_SMM_Upper refers to Ceanothus megacarpus, Plant ID = 44, sampled from the Santa Monica Mountains (SMM), upper canopy. Note also that each leaf within each image is individually numbered. The **Mapping** folder contains two files: 1. **shrubs_coordinates.csv** - contains coordinates and elevation for all field-sampled plants, recorded using a handheld Garmin GPS unit 2. **site_coordinates.csv** - contains broad site-level coordinates used for making map in Figure 1 The **Morphology** folder contains two files: 1. **chaparral_leaf_morphology.csv** - the primary datafile for this study, with each row (n = 5665) corresponding to a single leaf. For a visual depiction of the measurement protocol, see Supplemental Figures. Leaf measurements reported as NA generally correspond to leaves that were severely damaged, from which measurements could be reliably taken. 1. Index = sorting variable 2. IM = refers to whether a given plant was growing at an island or mainland site 3. Source = the original provenance of a given plant. For all field-sampled plants, the value here is the same as the value for 'Site' 4. Site = the location where plants were sampled. Includes all field sampling locations as well as the two botanic gardens 5. Exclosure = yes/no variable, only relevant to Catalina Island, describing whether sampled plant was inside of a deer exclosure 6. Species = taxon being measured 7. Plant = Plant ID, a unique value for each individual plant. Note that botanic garden samples have their own non-integer codes, and for Rancho Santa Ana Botanic Garden, these codes can be cross-referenced against the garden's living collections 8. Position = refers to whether a sampled branch came from the upper (&gt;2m) or lower portion of the plant's canopy 9. Aspect = recorded from the Garmin GPS, refers to predominant downward slope direction. Not recorded for botanic garden plants (marked as NA) or for plants from completely flat ground. 10. Elevation = elevation in meters of sampled plants 11. Diameter1 = diameter (cm) of the primary plant trunk at 0.25m (NA means that stem could not be reliably measured) 12. Diameter2 = diameter (cm) of any secondary plant trunk at 0.25m (only applicable for multi-stemmed plants; NA means that stem could not be reliably measured) 13. Stem_Area = derived measure of stem area (cm^2), based on trunk diameter, used as a rough proxy for plant age (NA means that stem could not be reliably measured) 14. 1st_year = refers to whether an individual leaf was newly emerged growth (1) or fully expanded and mature (0) 15. Leaf_ID = corresponds to the numbers in each leaf scan; identifies each individual leaf from a given branch 16. Leaf_Length = leaf length (cm) along its primary axis, excluding the petiole 17. Leaf_Area_petiole = leaf area (cm^2), including the petiole 18. Leaf_Area_no.petiole = leaf area (cm^2), excluding the petiole 19. Internal_area_correction = cumulative area of any 'holes' missing within the leaf perimeter (cm^2) 20. True_area = Leaf_Area_no.petiole minus Internal_area_correction (cm^2) 21. Leaf_area_corrected = leaf area, after manually filling in gaps missing due to presumed herbivore damage (cm^2) 22. Leaf_area_corrected_final = Leaf_area_corrected minus Internal_area_correction (cm^2) 23. Area_no_spines = leaf area after connecting vertices created by leaf spines (cm^2), using to calculate spinescence (%) 2. **shrub_leaf_masses.csv** - cumulative mass (g) of fully expanded leaf tissue from each branch, summed across all individual leaves. Used for calculating specific leaf area (SLA). **STACHYS** The **Stachys** folder contains three subfolders: **Chemistry**, **Morphology**, and **Setup** The **Chemistry** folder contains two files and one sub-directory: 1. **stachys_chromatograms** contains raw GC-MS readout for six leaf chemistry samples. Within each of the corresponding subfolders, the tic_front.csv file was used to generate the chromatograms shown in Figure 6A. 2. **stachys_compound_list.csv** is the full list of compounds detected in our samples. RT refers to the retention time (in minutes) of each compound. Identifications are putative. 3. **stachys_leaf_vocs.csv** is the full data matrix of leaf volatile compounds, with each sample as its own row and data columns each corresponding to a single compound. Values in this data matrix correspond to integrated peak areas, which are a proxy for the abundance of each compound. The **Morphology** folder contains two files: 1. **Anet-stbu.xlsx** contains gas exchange measurements for 26 plants measured in the common garden. The gas exchange column is net carbon assimilation, expressed as CO2 uptake per unit time per unit leaf area (\u00b5mol of CO2 m-2 s-1). 2. **sla_sbbg.csv** contains specific leaf area measurements for *Stachys* plants in the common garden. Note that plant #54 had died by the time of data collection, hence its values of NA across all columns. 1. ID = individual plant ID 2. SLA = cumulative area/ cumulative mass (cm^2/g) 3. leaves = refers to the number of leaves used for generating SLA measurement 4. area/leaf = cumulative area/ leaf number (cm^2/leaf) The **Setup** folder contains three files: 1. **321dailys.xls** is a file containing annual precipitation records (inches) for the Santa Barbara Botanic Garden, accessed from: [https://www.countyofsb.org/2328/Daily-Rainfall-Data-XLS](https://www.countyofsb.org/2328/Daily-Rainfall-Data-XLS) 2. **Field_Setup_SBBG.csv** is the primary file containing details on the primary garden experiment. Note that samples with masses recorded as NA were either dead at the time of sampling. Plants grown on Santa Cruz Island have values of NA for row and column, as this common garden was not arranged in a grid. 1. Index = individual plant ID 2. Population = provenance of plant 3. Garden = whether plants were grown at the Santa Barbara Botanic Garden (primary common garden site) or at the field station on Santa Cruz Island (secondary garden location with only Santa Cruz genotypes) 4. Genotype = identifier given to field-collected rhizomes, which were then propagated and split prior to planting out 5. Cumulative_Mass = mass (g) of paper bag and all of its contents, used for measuring end-of-season plant aboveground biomass 6. Bag_Mass = mass (g) of bag itself (without its contents) 7. Inside_Bag_Mass = mass (g) of smaller paper bags contained within larger bags, including all of their contents. Though not analyzed, these inside bags included all plant biomass collected from outside of the gopher cage that plants were growing in. 8. Inside_Bag_Only_Mass = as above, mass (g) of inner bag itself (without its contents) 9. Year = whether biomass was collected in 2016 or 2017 10. Row = grid location within common garden. Row 1 was at the bottom of the slope shown in Figure 2. 11. Column = grid location within common garden. 3. **stachys_coordinates.csv** contains coordinates for the six collecting sites, used to make the map in Figure 2. --- ***SCRIPTS*** All analyses for this project were conducted in the R programming language (version 4.1.3). Scripts used for analysis are arranged in two folders: **Shrubs** and **Stachys** The **Shrubs** folder contains the following scripts: 1. **coordinates_shrubs_stachys.R** - script used for generating all maps, including those in Figures 1 and 2 and the Google Earth maps in the supplementary figures 2. **cyanide_calibration.R** - script for plotting the calibration curve for relating evolved absorbance values to evolved HCN 3. **shrub_leaf_morphology_chemistry.R** - primary analysis script for manuscript, containing all major statistical analyses and plotting 4. **shrubs_BioClim.R** - script used for extracting bioclimatic data for field-sampled plants; containing code generating climate figures shown in supplementary materials The **Stachys** folder contains the following scripts: 1. **sbbg_precip_data.R** - very short script for summarizing water year totals for 2017 at the Santa Barbara Botanic Garden 2. **stachys_analysis.R** - primary script for generating all analyses and figures for *Stachys* common garden data 3. **stbu_gas_exchange.R** - script for analyzing gas exchange in common garden *Stachys* Note that for recreating some analyses and figures, users will need a Google Maps API key and will need to download data from the bioclim database. --- ## Sharing/Access information Data, code, and figures associated with this project are also available on GitHub at the following link: [https://github.com/micahfreedman/manuscripts/tree/master/Island_Mainland](https://github.com/micahfreedman/manuscripts/tree/master/Island_Mainland)", "keywords": ["Islands", "Morphology", "Dendromecon", "cyanogenic glycosides", "Ecology", "Terpenes", "Cercocarpus", "California Channel Islands", "Chemical ecology", "marginal spines", "Specific leaf area", "Plant science", "Heteromeles", "FOS: Biological sciences", "Stachys", "Other", "Prunus", "Herbivory", "Plant defenses", "Plant-herbivore interactions", "Ceanothus", "Ecology", " Evolution", " Behavior and Systematics"], "contacts": [{"organization": "Freedman, Micah", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.51c59zwgj"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.51c59zwgj", "name": "item", "description": "10.5061/dryad.51c59zwgj", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.51c59zwgj"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5061/dryad.2280gb60m", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:22:11Z", "type": "Dataset", "created": "2024-01-06", "title": "Soil profile pits, carbon and vegetation data of an old Anogeissus grove in Mole National Park, Ghana", "description": "Open AccessFormation of forest islands in West Africa has been linked to  anthropogenic soil improvement resulting in luxuriant tree growth in  otherwise open savanna landscapes. However, there is limited understanding  of how such unique ecosystems modulate soil carbon (C) dynamics and  nutrient cycling. In this study, we report soil nutrient characteristics  and two distinct soil organic carbon pools of Anogeissus grove (forest  island) associated with abandoned village sites of the Mole National Park  in the Guinea savanna or tropical continental climatic zone of Ghana,  taking opportunity of a previously published study in Biotropica in 1978.  We compared present-day differences in soil characteristics between the  previously studied forest grove and adjoining open savanna in the Park and  evaluated vegetation dynamics since first measurement in 1974. Overall, we  see changes related to self-thinning and expansion of the grove on a  decadal timescale. Soil organic matter and available phosphorus contents  were greater in the grove and increased by 19.6 and 18.7%, respectively  over time, showing persistence after four decades. Mineral associated  organic carbon (MAOC) differed significantly (p&lt;0.05) between the  vegetation types, being 3.44% in the grove and 2.34% in the savanna. The  grove was ca. 25% greater in particulate organic carbon (POC) content than  the savanna. In both vegetation types, &gt;55% of carbon was  stabilized in the mineral fraction. Our study demonstrates long-term human  impacts on soil and vegetation and offers a clear nature-based solution  for climate change mitigation through sustainable land management by  indigenous people towards achievement of the \u20184p1000\u2019 initiative.", "keywords": ["forest island", "Agriculture", " forestry", " and fisheries", "FOS: Agriculture", " forestry", " and fisheries", "persistence", "Anthropogenic", "Soil carbon"], "contacts": [{"organization": "Logah, Vincent, Abubakari, Farida, Issifu, Hamza, Adjei-Gyapong, Thomas, Baidoo, Emmanuel, Abubakari, Awudu, Okonkwo, Gerard, Hamelink, Jaap, Pyck, Maaike, Ocansey, Caleb Melenya, Tetteh, Erasmus Narteh, Ametsitsi, George, Veenendaal, Elmar,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.2280gb60m"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.2280gb60m", "name": "item", "description": "10.5061/dryad.2280gb60m", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.2280gb60m"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.7572718", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:37Z", "type": "Dataset", "title": "Mangroves in the lagoon of the protected Aldabra Atoll: a dataset on species, structure, biomass and the environment", "description": "Open AccessMangroves are vital for climate change mitigation since they store vast quantities of carbon as biomass and in the soil. Global mangrove biomass estimates are derived from climate-based relationships of mangroves with precipitation and temperature. However, the carbon stored locally is highly variable depending on environmental conditions. This uncertainty highlights the importance of local mangrove surveys and the need to explore factors that regulate forest structure and, therefore, carbon storage. In this study, we investigate the mangrove forest structure, seedling growth, species composition, aboveground biomass, soil organic carbon, and local environmental factors related to variation in mangrove carbon in the lagoonal mangroves on the protected Aldabra Atoll, Seychelles. We present a database from an extensive field survey of Aldabra's mangrove ecosystem using 54 plots of 5 m x 5 m along a mangrove coverage gradient. From November 2019 to November 2020, we measured the structural attributes and identified six mangrove species from &gt;750 adult mangrove trees on Aldabra. We used the height and diameter of adult trees to derive aboveground biomass and carbon from a tropical allometric equation. We measured the height of 59 mangrove seedlings over three sampling periods. In addition, environmental factors were recorded for each plot. We measured soil salinity repeatedly along the soil column. From 90 soil samples, we measured the physical and chemical properties of the soil, including soil organic carbon and elemental concentrations for &gt;20 elements. Autonomous measures of the water level, temperature and conductivity were made every 10 minutes over 1 year in a subset of 36 plots. The database provides 60% more information that is currently available for Seychelles regarding mangrove forest structure and biomass and is essential for research on several globally threatened and endemic species that depend on the mangroves on Aldabra. Furthermore, the database allows the incorporation of data and insights for the Western Indian Ocean and lagoonal mangroves, where few studies have been conducted on mangrove aboveground biomass and soil organic carbon. No copyright restrictions apply to the use of this data set. Please cite this data paper when using the current data in publications.", "keywords": ["13. Climate action", "aboveground biomass", " blue carbon", " field survey", " islands", " lagoon", " one-year field period", " protected area", " Seychelles", " soil nutrients", " water level", " water temperature", " Western Indian Ocean.", "14. Life underwater", "15. Life on land"], "contacts": [{"organization": "Constance, Annabelle", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7572718"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7572718", "name": "item", "description": "10.5281/zenodo.7572718", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7572718"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-10T00:00:00Z"}}, {"id": "1868969064", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-23T16:26:14Z", "type": "Journal Article", "created": "2015-07-13", "title": "Nutrient fluxes from insect herbivory increase during ecosystem retrogression in boreal forest", "description": "Abstract<p>Ecological theory, developed largely from ungulates and grassland systems, predicts that herbivory accelerates nutrient cycling more in productive than unproductive systems. This prediction may be important for understanding patterns of ecosystem change over time and space, but its applicability to other ecosystems and types of herbivore remain uncertain. We estimated fluxes of nitrogen (N) and phosphorus (P) from herbivory of a common tree species (Betula pubescens) by a common species of herbivorous insect along a ~5000\uffe2\uff80\uff90yr boreal chronosequence. Contrary to established theory, fluxes of N and P via herbivory increased along the chronosequence despite a decline in plant productivity. The herbivore\uffe2\uff80\uff90mediated N and P fluxes to the soil are comparable to the main alternative pathway for these nutrients via tree leaf litterfall. We conclude that insect herbivores can make large contributions to nutrient cycling even in unproductive systems, and influence the rate and pattern of ecosystem development, particularly in systems with low external nutrient inputs.</p", "keywords": ["Islands", "Sweden", "0106 biological sciences", "2. Zero hunger", "Insecta", "Nitrogen", "Phosphorus", "Forests", "15. Life on land", "01 natural sciences", "13. Climate action", "Animals", "Herbivory", "Environmental Monitoring"]}, "links": [{"href": "https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1890/15-0302.1"}, {"href": "https://doi.org/1868969064"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1868969064", "name": "item", "description": "1868969064", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1868969064"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "1959.7/uws:76472", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:26:20Z", "type": "Journal Article", "created": "2024-03-16", "title": "Urban greenspaces and nearby natural areas support similar levels of soil ecosystem services", "description": "Abstract<p>Greenspaces are important for sustaining healthy urban environments and their human populations. Yet their capacity to support multiple ecosystem services simultaneously (multiservices) compared with nearby natural ecosystems remains virtually unknown. We conducted a global field survey in 56 urban areas to investigate the influence of urban greenspaces on 23 soil and plant attributes and compared them with nearby natural environments. We show that, in general, urban greenspaces and nearby natural areas support similar levels of soil multiservices, with only six of 23 attributes (available phosphorus, water holding capacity, water respiration, plant cover, arbuscular mycorrhizal fungi (AMF), and arachnid richness) significantly greater in greenspaces, and one (available ammonium) greater in natural areas. Further analyses showed that, although natural areas and urban greenspaces delivered a similar number of services at low (&gt;25% threshold) and moderate (&gt;50%) levels of functioning, natural systems supported significantly more functions at high (&gt;75%) levels of functioning. Management practices (mowing) played an important role in explaining urban ecosystem services, but there were no effects of fertilisation or irrigation. Some services declined with increasing site size, for both greenspaces and natural areas. Our work highlights the fact that urban greenspaces are more similar to natural environments than previously reported and underscores the importance of managing urban greenspaces not only for their social and recreational values, but for supporting multiple ecosystem services on which soils and human well-being depends.</p", "keywords": ["Medio ambiente natural", "2410.05 Ecolog\u00eda Humana", "Health", " Toxicology and Mutagenesis", "0211 other engineering and technologies", "710", "Urban Green Space", "02 engineering and technology", "01 natural sciences", "zelene povr\u0161ine", "Urban planning", "Natural (archaeology)", "11. Sustainability", "Urban Heat Islands and Mitigation Strategies", "info:eu-repo/classification/udc/630*1:630*9", "2. Zero hunger", "Global and Planetary Change", "Global Analysis of Ecosystem Services and Land Use", "Geography", "Ecology", "2417.13 Ecolog\u00eda Vegetal", "Carbon cycle", "3. Good health", "2511 Ciencias del Suelo (Edafolog\u00eda)", "Archaeology", "Physical Sciences", "urban forests", "HT361-384", "Ecolog\u00eda (Biolog\u00eda)", "Urbanization. City and country", "Environmental Engineering", "711.4:911.375", "631.4", "Environmental science", "soil", "12. Responsible consumption", "Impact of Urban Green Space on Public Health", "Urban ecosystem", "XXXXXX - Unknown", "Ecosystem services", "14. Life underwater", "Agroforestry", "Biology", "City planning", "Ecosystem", "0105 earth and related environmental sciences", "SDG-15: Life on land", "tla", "FOS: Environmental engineering", "15. Life on land", "ekosistemske storitve", "Urban ecology", "HT165.5-169.9", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "urbani gozdovi", "ecosystem services", "502.3"]}, "links": [{"href": "https://www.nature.com/articles/s42949-024-00154-z.pdf"}, {"href": "https://doi.org/1959.7/uws:76472"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/npj%20Urban%20Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1959.7/uws:76472", "name": "item", "description": "1959.7/uws:76472", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1959.7/uws:76472"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-16T00:00:00Z"}}, {"id": "27008782", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-23T16:26:52Z", "type": "Journal Article", "created": "2015-07-13", "title": "Nutrient fluxes from insect herbivory increase during ecosystem retrogression in boreal forest", "description": "Abstract<p>Ecological theory, developed largely from ungulates and grassland systems, predicts that herbivory accelerates nutrient cycling more in productive than unproductive systems. This prediction may be important for understanding patterns of ecosystem change over time and space, but its applicability to other ecosystems and types of herbivore remain uncertain. We estimated fluxes of nitrogen (N) and phosphorus (P) from herbivory of a common tree species (Betula pubescens) by a common species of herbivorous insect along a ~5000\uffe2\uff80\uff90yr boreal chronosequence. Contrary to established theory, fluxes of N and P via herbivory increased along the chronosequence despite a decline in plant productivity. The herbivore\uffe2\uff80\uff90mediated N and P fluxes to the soil are comparable to the main alternative pathway for these nutrients via tree leaf litterfall. We conclude that insect herbivores can make large contributions to nutrient cycling even in unproductive systems, and influence the rate and pattern of ecosystem development, particularly in systems with low external nutrient inputs.</p", "keywords": ["Islands", "Sweden", "2. Zero hunger", "0106 biological sciences", "Insecta", "Nitrogen", "Phosphorus", "Forests", "15. Life on land", "01 natural sciences", "13. Climate action", "Animals", "Herbivory", "Environmental Monitoring"]}, "links": [{"href": "https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1890/15-0302.1"}, {"href": "https://doi.org/27008782"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "27008782", "name": "item", "description": "27008782", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/27008782"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "3199548970", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:27:24Z", "type": "Journal Article", "created": "2021-09-13", "title": "The Impact of Soil-Improving Cropping Practices on Erosion Rates: A Stakeholder-Oriented Field Experiment Assessment", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The risk of erosion is particularly high in Mediterranean areas, especially in areas that are subject to a not so effective agricultural management\u2013or with some omissions\u2013, land abandonment or wildfires. Soils on Crete are under imminent threat of desertification, characterized by loss of vegetation, water erosion, and subsequently, loss of soil. Several large-scale studies have estimated average soil erosion on the island between 6 and 8 Mg/ha/year, but more localized investigations assess soil losses one order of magnitude higher. An experiment initiated in 2017, under the framework of the SoilCare H2020 EU project, aimed to evaluate the effect of different management practices on the soil erosion. The experiment was set up in control versus treatment experimental design including different sets of treatments, targeting the most important cultivations on Crete (olive orchards, vineyards, fruit orchards). The minimum-to-no tillage practice was adopted as an erosion mitigation practice for the olive orchard study site, while for the vineyard site, the cover crop practice was used. For the fruit orchard field, the crop-type change procedure (orange to avocado) was used. The experiment demonstrated that soil-improving cropping techniques have an important impact on soil erosion, and as a result, on soil water conservation that is of primary importance, especially for the Mediterranean dry regions. The demonstration of the findings is of practical use to most stakeholders, especially those that live and work with the local land.</p></article>", "keywords": ["ISLAND", "Environmental Studies", "Environmental Sciences & Ecology", "VINEYARDS", "soil-improving crop systems", "COVER CROPS", "3301 Architecture", "PARAMETERS", "soil erosion; soil-improving crop systems; sustainable land management; sustainable agriculture", "4104 Environmental management", "EQUATION", "RUNOFF", "0502 Environmental Science and Management", "sustainable land management", "2. Zero hunger", "Science & Technology", "soil erosion", "S", "3304 Urban and regional planning", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "GIS", "6. Clean water", "sustainable agriculture", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "CRETE", "Life Sciences & Biomedicine"]}, "links": [{"href": "http://www.mdpi.com/2073-445X/10/9/964/pdf"}, {"href": "https://www.mdpi.com/2073-445X/10/9/964/pdf"}, {"href": "https://doi.org/3199548970"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3199548970", "name": "item", "description": "3199548970", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3199548970"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-12T00:00:00Z"}}, {"id": "34998760", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:27:33Z", "type": "Journal Article", "created": "2022-01-06", "title": "Exploring the potential role of environmental and multi-source satellite data in crop yield prediction across Northeast China", "description": "Open AccessLe d\u00e9veloppement d'un syst\u00e8me pr\u00e9cis de pr\u00e9diction du rendement des cultures \u00e0 grande \u00e9chelle est d'une importance primordiale pour la gestion des ressources agricoles et la s\u00e9curit\u00e9 alimentaire mondiale. L'observation de la Terre fournit une source unique d'informations pour surveiller les cultures \u00e0 partir d'une diversit\u00e9 de gammes spectrales. Cependant, l'utilisation int\u00e9gr\u00e9e de ces donn\u00e9es et de leurs valeurs dans la pr\u00e9diction du rendement des cultures est encore peu \u00e9tudi\u00e9e. Ici, nous avons propos\u00e9 la combinaison de donn\u00e9es environnementales (climat, sol, g\u00e9ographie et topographie) avec de multiples donn\u00e9es satellitaires (indices de v\u00e9g\u00e9tation optiques, fluorescence induite par le soleil (SIF), temp\u00e9rature de surface du sol (LST) et profondeur optique de la v\u00e9g\u00e9tation micro-ondes (VOD)) dans le cadre pour estimer le rendement des cultures de ma\u00efs, de riz et de soja dans le nord-est de la Chine, et leur valeur unique et leur influence relative sur la pr\u00e9diction du rendement ont \u00e9t\u00e9 \u00e9valu\u00e9es. Deux m\u00e9thodes de r\u00e9gression lin\u00e9aire, trois m\u00e9thodes d'apprentissage automatique (ML) et un mod\u00e8le d'ensemble ML ont \u00e9t\u00e9 adopt\u00e9s pour construire des mod\u00e8les de pr\u00e9diction de rendement. Les r\u00e9sultats ont montr\u00e9 que les m\u00e9thodes individuelles de ML surpassaient les m\u00e9thodes de r\u00e9gression lin\u00e9aire, le mod\u00e8le d'ensemble de ML a encore am\u00e9lior\u00e9 les mod\u00e8les de ML uniques. De plus, les mod\u00e8les avec plus d'intrants ont obtenu de meilleures performances, la combinaison de donn\u00e9es satellitaires avec des donn\u00e9es environnementales, qui expliquaient respectivement 72\u00a0%, 69\u00a0% et 57\u00a0% de la variabilit\u00e9 du rendement du ma\u00efs, du riz et du soja, a d\u00e9montr\u00e9 des performances de pr\u00e9diction du rendement sup\u00e9rieures \u00e0 celles des intrants individuels. Alors que les donn\u00e9es satellitaires ont contribu\u00e9 \u00e0 la pr\u00e9diction du rendement des cultures principalement au d\u00e9but de la pointe de la saison de croissance, les donn\u00e9es climatiques ont fourni des informations suppl\u00e9mentaires principalement \u00e0 la pointe de la fin de la saison. Nous avons \u00e9galement constat\u00e9 que l'utilisation combin\u00e9e de l'IVE, du LST et du SIF a am\u00e9lior\u00e9 la pr\u00e9cision du mod\u00e8le par rapport au mod\u00e8le d'IVE de r\u00e9f\u00e9rence. Cependant, les indices de v\u00e9g\u00e9tation bas\u00e9s sur l'optique partageaient des informations similaires et ne fournissaient pas beaucoup d'informations suppl\u00e9mentaires au-del\u00e0 de l'IVE. Les pr\u00e9visions de rendement en cours de saison ont montr\u00e9 que les rendements des cultures peuvent \u00eatre pr\u00e9vus de mani\u00e8re satisfaisante deux \u00e0 trois mois avant la r\u00e9colte. La g\u00e9ographie, la topographie, la VOD, l'IVE, les param\u00e8tres hydrauliques du sol et les param\u00e8tres nutritifs sont plus importants pour la pr\u00e9diction du rendement des cultures.", "keywords": ["Atmospheric sciences", "Climate", "Multi-source satellite data", "Normalized Difference Vegetation Index", "Engineering", "Pathology", "Climate change", "Urban Heat Islands and Mitigation Strategies", "Linear regression", "2. Zero hunger", "Global and Planetary Change", "Vegetation Monitoring", "Ecology", "Geography", "Statistics", "Agriculture", "Geology", "Remote Sensing in Vegetation Monitoring and Phenology", "04 agricultural and veterinary sciences", "Remote sensing", "Aerospace engineering", "Archaeology", "Physical Sciences", "Metallurgy", "Medicine", "Seasons", "Global Vegetation Models", "Biomass Estimation", "Regression analysis", "Vegetation (pathology)", "Crops", " Agricultural", "Environmental Engineering", "Environmental data", "Yield (engineering)", "Zea mays", "Environmental science", "Machine learning", "FOS: Mathematics", "Crop yield", "Biology", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "Predictive modelling", "Food security", "FOS: Earth and related environmental sciences", "15. Life on land", "Agronomy", "Materials science", "Yield prediction", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Growing season", "0401 agriculture", " forestry", " and fisheries", "Mathematics"], "contacts": [{"organization": "Zhenwang Li, Lei Ding, Donghui Xu,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/34998760"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "34998760", "name": "item", "description": "34998760", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/34998760"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-01T00:00:00Z"}}, {"id": "3a9ed87d-affc-4f72-aa6e-72db4fefec40", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-118.5, -58.0], [-118.5, 32.7], [-34.8, 32.7], [-34.8, -58.0], [-118.5, -58.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "South America"}, {"id": "Latin America"}, {"id": "Caribbean"}, {"id": "Argentina"}, {"id": "Brazil"}, {"id": "Belize"}, {"id": "Bolivia"}, {"id": "Caribbean Islands"}, {"id": "Chile"}, {"id": "Colombia"}, {"id": "Costa Rica"}, {"id": "Ecuador"}, {"id": "El Salvador"}, {"id": "French Guiana"}, {"id": "Guatemala"}, {"id": "Guiana"}, {"id": "Honduras"}, {"id": "Mexico"}, {"id": "Nicaragua"}, {"id": "Panama"}, {"id": "Paraguay"}, {"id": "Peru"}, {"id": "Suriname"}, {"id": "Uruguay"}, {"id": "Venezuela"}, {"id": "Cuba"}, {"id": "Jamaica"}, {"id": "Dominican Republic"}, {"id": "Haiti"}, {"id": "Trinidad and Tobago"}], "scheme": "Region"}], "license": "Attribution 3.0 International (CC BY 3.0)", "updated": "2021-07-14T11:52:05", "type": "Dataset", "language": "eng", "title": "SOTER-based soil parameter estimates (SOTWIS) for Latin America and the Caribbean", "description": "This harmonized set of soil parameter estimates for Latin America and the Caribbean was derived from a revised version of the 1:5M Soil and Terrain Database for the region (SOTERLAC, ver. 2.0) and the ISRIC-WISE soil profile database.\n\nThe land surface of Latin America and the Caribbean has been characterized using 1585 unique SOTER units, corresponding with 5855 polygons. The major soils have been described using 1660 profiles, selected by national soil experts as being representative for these units. The associated soil analytical data have been derived from soil survey reports. These sources seldom hold all the physical and chemical attributes ideally required by SOTER. Gaps in the measured soil profile data have been filled using a step-wise procedure that uses taxotransfer rules, based on about 9600 soil profiles held in the WISE database, complemented with expert-rules.\n\nParameter estimates are presented by soil unit for fixed depth intervals of 0.2 m to 1 m depth for: organic carbon, total nitrogen, pH(H2O), CECsoil, CECclay, base saturation, effective CEC, aluminium saturation, CaCO3 content, gypsum content, exchangeable sodium percentage (ESP), electrical conductivity of saturated paste (ECe), bulk density, content of sand, silt and clay, content of coarse fragments (less than 2 mm), and available water capacity (-33 to -1500 kPa). These attributes have been identified as being useful for agro-ecological zoning, land evaluation, crop growth simulation, modelling of soil carbon stocks and change, and analyses of global environmental change.\n\nThe current parameter estimates should be seen as best estimates based on the current selection of soil profiles and data clustering procedure. Taxotransfer rules have been flagged to provide an indication of the possible confidence in the derived data. Results are presented as summary files and can be linked to the 1:5M scale SOTERLAC map in a GIS, through the unique SOTER-unit code. The secondary data set is considered appropriate for studies at the continental scale (greater than 1:5M). Correlation of soil analytical data should be done more rigorously when more detailed scientific work is considered.", "formats": [{"name": "zip"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["calcium", "carbon", "cation exchange capacity", "electrical conductivity", "nitrogen", "organic matter", "bulk density", "soil profiles", "pH", "salinity", "texture", "water holding capacity", "nutrients", "Soil science", "South America", "Latin America", "Caribbean", "Argentina", "Brazil", "Belize", "Bolivia", "Caribbean Islands", "Chile", "Colombia", "Costa Rica", "Ecuador", "El Salvador", "French Guiana", "Guatemala", "Guiana", "Honduras", "Mexico", "Nicaragua", "Panama", "Paraguay", "Peru", "Suriname", "Uruguay", "Venezuela", "Cuba", "Jamaica", "Dominican Republic", "Haiti", "Trinidad and Tobago"], "contacts": [{"name": "Niels Batjes", "organization": "ISRIC - World Soil Information", "position": "Senior Soil Scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "niels.batjes@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "denominator": "5000000"}, "links": [{"href": "https://files.isric.org/public/sotwis/SOTWIS_LAC.zip", "name": "Download", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://isric.org/projects/harmonized-continental-soter-derived-database-sotwis", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://isric.org/sites/default/files/isric_report_2005_02.pdf", "name": "Report", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/sotwis/SOTWIS_LAC.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "3a9ed87d-affc-4f72-aa6e-72db4fefec40", "name": "item", "description": "3a9ed87d-affc-4f72-aa6e-72db4fefec40", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3a9ed87d-affc-4f72-aa6e-72db4fefec40"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1953-01-01T00:00:00Z", "1998-08-01T00:00:00Z"]}}, {"id": "436bd4b0-7ffc-4272-be57-686b7d7eea7d", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-118.5, -58.0], [-118.5, 32.7], [-34.8, 32.7], [-34.8, -58.0], [-118.5, -58.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "South America"}, {"id": "Latin America"}, {"id": "Caribbean"}, {"id": "Argentina"}, {"id": "Brazil"}, {"id": "Belize"}, {"id": "Bolivia"}, {"id": "Caribbean Islands"}, {"id": "Chile"}, {"id": "Colombia"}, {"id": "Costa Rica"}, {"id": "Ecuador"}, {"id": "El Salvador"}, {"id": "French Guiana"}, {"id": "Guatemala"}, {"id": "Guiana"}, {"id": "Honduras"}, {"id": "Mexico"}, {"id": "Nicaragua"}, {"id": "Panama"}, {"id": "Paraguay"}, {"id": "Peru"}, {"id": "Suriname"}, {"id": "Uruguay"}, {"id": "Venezuela"}, {"id": "Cuba"}, {"id": "Jamaica"}, {"id": "Dominican Republic"}, {"id": "Haiti"}, {"id": "Trinidad and Tobago"}], "scheme": "Region"}], "updated": "2021-07-14T11:51:59", "type": "Dataset", "language": "eng", "title": "Soil and Terrain Database (SOTER) for Latin America and the Caribbean (SOTERLAC), version 2.0", "description": "The Soil and Terrain database for Latin America and the Caribbean (SOTERLAC), version 2.0, at scale 1:5 million, replaces version 1.02. The update includes changes in the GIS file and in the attributes database. The topographic base of the SOTERLAC map was adapted to a version congruent to the Digital Chart of the World. \n\nThe SOTERLAC attribute database has changed in respect to the number of ... pedon attributes that can be stored. Contrary to the preceding, compact version, version 2.0 can accommodate all pedon attributes considered in a 1:1 million scale SOTER database.  \n\nSOTERLAC forms a part of the ongoing activities of ISRIC, FAO and UNEP to update the world's baseline information on natural resources.The project involved collaboration with national soil institutes from the countries in the region as well as individual experts", "formats": [{"name": "zip"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["calcium", "carbon", "cation exchange capacity", "electrical conductivity", "nitrogen", "organic matter", "bulk density", "soil profiles", "pH", "salinity", "texture", "water holding capacity", "nutrients", "Soil science", "South America", "Latin America", "Caribbean", "Argentina", "Brazil", "Belize", "Bolivia", "Caribbean Islands", "Chile", "Colombia", "Costa Rica", "Ecuador", "El Salvador", "French Guiana", "Guatemala", "Guiana", "Honduras", "Mexico", "Nicaragua", "Panama", "Paraguay", "Peru", "Suriname", "Uruguay", "Venezuela", "Cuba", "Jamaica", "Dominican Republic", "Haiti", "Trinidad and Tobago"], "contacts": [{"name": "Bas Kempen", "organization": "ISRIC - World Soil Information", "position": "Soil mapping specialist", "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "bas.kempen@wur.nl"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "J.A. Dijkshoorn", "organization": "ISRIC - World Soil Information", "position": null, "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "None"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Jan R.M. Huting", "organization": "ISRIC - World Soil Information", "position": null, "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "None"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "denominator": "5000000"}, "links": [{"href": "https://files.isric.org/public/soter/LAC-SOTER.zip", "name": "Download", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://isric.org/index.php/projects/soil-and-terrain-soter-database-programme", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://isric.org/sites/default/files/isric_report_2005_01.pdf", "name": "Report", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/soter/SOTERLAC.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "436bd4b0-7ffc-4272-be57-686b7d7eea7d", "name": "item", "description": "436bd4b0-7ffc-4272-be57-686b7d7eea7d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/436bd4b0-7ffc-4272-be57-686b7d7eea7d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1953-01-01T00:00:00Z", "1998-08-01T00:00:00Z"]}}, {"id": "GOIB_CDE_FP", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:29:32Z", "type": "Dataset", "language": "es", "title": "DATASET of slope, soil and vegetation factor for calculate the CAP of Balearic Islands", "description": "Image of slope, soil and vegetation factor obtained from the LIDAR flight of 2014 that is used in the calculation of the automatic pasture land coefficient (CAP). Slope factor: It identifies zones with high slope and treats it as not herbaceous and therefore not admissible. Vegetation factor: It identifies zones with vegetation of more than 40cm of height and treats it as not herbaceous and therefore not admissible. Soil factor: It identifies soil zones without vegetation and treats it as not admissible.", "formats": [{"name": "WMS_SRVC"}], "keywords": ["2014", "balearic-islands", "cap", "eivissa", "elevaciones", "elevacions", "elevation", "es", "formentera", "goib", "govern-de-les-illes-balears", "ibiza", "illes-balears", "institut-cartogra\u0300fic-i-geogra\u0300fic-de-les-illes-balears", "islas-baleares", "mallorca", "menorca", "pasto", "pastura", "pasture", "pendent", "pendiente", "slope", "soil", "so\u0300l", "suelo", "vegetacio\u0301", "vegetacio\u0301n", "vegetation"], "contacts": [{"organization": "Institut Cartogr\u00e0fic i Geogr\u00e0fic de les Illes Balears", "roles": ["creator"]}]}, "links": [{"href": "https://ideib.caib.es/geoserveis/services/public/GOIB_FactorsPastures_IB/MapServer/WCSServer?request=GetCapabilities&service=WCS"}, {"href": "https://ideib.caib.es/geoserveis/services/public/GOIB_FactorsPastures_IB/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "http://data.europa.eu/88u/dataset/b6e07eec-f820-460e-8677-b4842281822e"}, {"rel": "self", "type": "application/geo+json", "title": "GOIB_CDE_FP", "name": "item", "description": "GOIB_CDE_FP", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GOIB_CDE_FP"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "542072b1-bc04-46d1-b707-4f49b7029677", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.5, 53.2], [13.5, 53.44], [14.28, 53.44], [14.28, 53.2], [13.5, 53.2]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "vegetation"}, {"id": "kettle holes"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "field boundary"}, {"id": "field margin"}, {"id": "crop edge"}, {"id": "habitat island"}, {"id": "arable vegetation"}], "scheme": "Individual"}, {"concepts": [{"id": "Bodenbedeckung"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Uckermark"}], "scheme": "individual"}], "license": "CC BY", "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": "2024-03-01", "type": "Dataset", "created": "2024-02-15", "language": "eng", "title": "Vegetation data from field boundaries on outer field borders and around habitat islands on the field - Presence - Absence values", "description": "Table with boundary categories and characteristics of each plot and presence-absence data of all plants.\nGeneral description see mother table: (https://doi.org/10.4228/zalf-ebfq-0075); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["vegetation", "kettle holes", "opendata", "field boundary", "field margin", "crop edge", "habitat island", "arable vegetation", "Bodenbedeckung", "Germany", "Brandenburg", "Uckermark"], "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": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Ines Heyer", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Ines.heyer@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0005-5270-7053", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Ines Heyer", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Ines.heyer@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0005-5270-7053", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 2/3, table: Presence - 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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. 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{"id": "route planning"}, {"id": "high-speed railway"}, {"id": "waterfall"}, {"id": "drainage"}, {"id": "road"}, {"id": "tidal water"}, {"id": "glacier"}, {"id": "data base"}, {"id": "railway"}, {"id": "built-up area"}, {"id": "estuary"}, {"id": "highway"}, {"id": "soil"}, {"id": "geography"}], "scheme": "GEMET"}, {"concepts": [{"id": "Serbia"}, {"id": "Isle of Man"}, {"id": "Kosovo (UNSCR 1244/99)"}, {"id": "EFTA4"}, {"id": "Georgia"}, {"id": "Monaco"}, {"id": "North Macedonia"}, {"id": "Vatican"}, {"id": "San Marino"}, {"id": "Faeroe Islands"}, {"id": "Moldova"}, {"id": "EU27 (2007-2013)"}, {"id": "Andorra"}], "scheme": "Continents, countries, sea regions of the world."}, {"concepts": [{"id": "European"}], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}], "rights": "License for further details, refer to Licence/GISCO-LicenseconditionsforEuroGeographicsAdministrativeandTopographicspatialdatasets-080716-1335-618.pdf For dissemination to contractors, the form to be filled in and returned to Eurostat is available under Licence/Data_Request_Form_EuroGeographics.doc", "updated": "2025-10-09T10:43:59.686809Z", "type": "Dataset", "created": "2017-01-20", "language": "eng", "title": "EuroRegionalMap (full European coverage) - version 10.0, Jan. 2017", "description": "EuroRegionalMap is a Pan-European topographic vector dataset at scale 1: 250000, that is seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries using official national databases. \n\nThematic layers: \nAdministrative Boundaries\nHydrography\nMiscellaneous\nNamed Location\nSettlement\nTransportation\nVegetation and Soil\nPoints of Interests", "formats": [{"name": "GDB"}, {"name": "WWW:URL"}], "keywords": ["Geographical names", "Utility and governmental services", "Transport networks", "Hydrography", "Soil", "Administrative units", "Land cover", "Sea regions", "river", "vegetation", "administrative boundary", "car park", "lake", "railway station", "water body", "hydrography", "maritime transport", "airport", "artificial lake", "transportation", "in situ", "geo-referenced data", "human settlement", "international watercourse", "national boundary", "dam", "railway network", "water (geographic)", "surface water", "coast", "harbour", "waterway", "route planning", "high-speed railway", "waterfall", "drainage", "road", "tidal water", "glacier", "data base", "railway", "built-up area", "estuary", "highway", "soil", "geography", "Serbia", "Isle of Man", "Kosovo (UNSCR 1244/99)", "EFTA4", "Georgia", "Monaco", "North Macedonia", "Vatican", "San Marino", "Faeroe Islands", "Moldova", "EU27 (2007-2013)", "Andorra", "European"], "denominator": "250000", "edition": "10"}, "links": [{"href": "https://sdi.eea.europa.eu/data/313c0c3a-c177-4198-a7de-09b7f6ac3a9d", "name": "Direct download (Eionet authentication)", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/313c0c3a-c177-4198-a7de-09b7f6ac3a9d.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "313c0c3a-c177-4198-a7de-09b7f6ac3a9d", "name": "item", "description": "313c0c3a-c177-4198-a7de-09b7f6ac3a9d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/313c0c3a-c177-4198-a7de-09b7f6ac3a9d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2016-01-01T00:00:00Z", "2016-12-31T00:00:00Z"]}}, {"id": "ee1b7182-79a7-4974-a9c2-ebca2352a132", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-35.0, 27.0], [-35.0, 84.0], [47.0, 84.0], [47.0, 27.0], [-35.0, 27.0]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Energy resources"}, {"id": "Land use"}, {"id": "Mineral resources"}, {"id": "Production and industrial facilities"}, {"id": "Administrative units"}, {"id": "Geographical names"}, {"id": "Hydrography"}, {"id": "Land cover"}, {"id": "Population distribution \u2014 demography"}, {"id": "Soil"}, {"id": "Protected sites"}, {"id": "Transport networks"}, {"id": "Utility and governmental services"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Monaco"}, {"id": "Serbia"}, {"id": "Moldova"}, {"id": "North Macedonia"}, {"id": "Faeroe Islands"}, {"id": "Kosovo (UNSCR 1244/99)"}, {"id": "Georgia"}, {"id": "Andorra"}, {"id": "EFTA4"}, {"id": "San Marino"}, {"id": "Isle of Man"}, {"id": "Liechtenstein"}, {"id": "Vatican"}, {"id": "EU28 (2013-2020)"}], "scheme": "Continents, countries, sea regions of the world."}, {"concepts": [{"id": "road"}, {"id": "route planning"}, {"id": "drainage"}, {"id": "highway"}, {"id": "in situ"}, {"id": "waterway"}, {"id": "artificial lake"}, {"id": "built-up area"}, {"id": "waterfall"}, {"id": "geography"}, {"id": "airport"}, {"id": "estuary"}, {"id": "dam"}, {"id": "coast"}, {"id": "soil"}, {"id": "glacier"}, {"id": "national boundary"}, {"id": "hydrography"}, {"id": "transportation"}, {"id": "maritime transport"}, {"id": "data base"}, {"id": "car park"}, {"id": "geo-referenced data"}, {"id": "surface water"}, {"id": "tidal water"}, {"id": "high-speed railway"}, {"id": "lake"}, {"id": "railway"}, {"id": "international watercourse"}, {"id": "water (geographic)"}, {"id": "river"}, {"id": "harbour"}, {"id": "human settlement"}, {"id": "railway network"}, {"id": "vegetation"}, {"id": "administrative boundary"}], "scheme": "GEMET"}, {"concepts": [{"id": "European"}], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}], "license": "INTELLECTUAL PROPERTY RIGHTS: The Commission is authorized to distribute derived geographic data and other derived products, if (1) The original geometry is generalised to the equivalent of a scale of 1:1000000 or smaller, applying the same quality principles in terms of resolution and accuracy as for the original geographic data or if the content of information in terms of number of features is less or equal to 20% of the number of features in the original geographic data (for the data extent relevant to the data to be distributed), (2) The data is not used for commercial purpose and, (3) The source is acknowledged. More information about the acknowledgement of the source or metadata is given in the document \"LicenseConditions.pdf\" provided with the dataset.", "rights": "The Commission will store the geographic data set on a central server that is accessible by Commission staff. Eurostat will distribute parts or the entire data within the Commission, to the EU Executive Agencies and to subcontractors. The Commission is authorised to use the geographic data as follows: (1) As geographic reference, i.e. creating a geographical context for other data. (2) For the production of maps, publications, posters, presentations and statistical analysis. (3) For deriving new geographic datasets by applying data manipulation procedures, e.g. combining different geographic datasets, generalisation procedures including smoothing and dropping of spatial features, adding new attribute information. Examples of derived geographic data are the NUTS map or the Trans European Transport Network. (4) For distributing the geographic data within the Commission as well as to the public in the form of publications, posters, presentations, derived analysed statistical data and derived geographic datasets. (5) For inclusion of the geographic data as map services in other applications provided that it will not possible to extract the original geographic data. For spatial analysis and for mapping of results of these analysis.\nThe license conditions are spelled out in the \"LicenseConditions.pdf\" document provided together with the dataset.", "updated": "2021-05-12T13:38:39.931Z", "type": "Dataset", "created": "2018-05-01", "language": "eng", "title": "EuroRegionalMap (full European coverage) - version 11.1, Dec. 2017", "description": "EuroRegionalMap (ERM) is a Pan-European topographic vector dataset at scale 1:250000, that is seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries (NMCAs) using official national databases. \nThematic layers: Administrative Boundaries (BND), Hydrography (HYDRO), Miscellaneous (MISC), Named Location (NAME), Settlement (POP), Transportation (TRANS), Vegetation and Soils (VEG) as well as Points of Interest.\nThis metadata refers to the version 11.1 of ERM. \nFor more information about the data product specifications and changes with respect to the previous version of this dataset (ERM v11 and ERMv10), please refer to the documents \"ERM_v11-1_DataSpecification_EuroStat.pdf\", \"ERM_v11_TechnicalGuide.pdf\" and \"ERM(EC)_v11.1_Lineage_FullEurope.doc\" provided with the dataset. Main changes with respect to these previous versions are that the NMCAs updated BND, HYDRO, MISC and NAME thematic layers, and that the Directorate-General for Mobility and Transport (DG MOVE) of the European Commission identified the Trans-European Transport Network for roads, railways, airports, ports and the watercourse system.\nThis metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the original metadata file created by EuroGeographics is provided together with the dataset under the \"metadata\" folder.", "formats": [{"name": "SHP"}, {"name": "WWW:URL"}], "keywords": ["Energy resources", "Land use", "Mineral resources", "Production and industrial facilities", "Administrative units", "Geographical names", "Hydrography", "Land cover", "Population distribution \u2014 demography", "Soil", "Protected sites", "Transport networks", "Utility and governmental services", "Monaco", "Serbia", "Moldova", "North Macedonia", "Faeroe Islands", "Kosovo (UNSCR 1244/99)", "Georgia", "Andorra", "EFTA4", "San Marino", "Isle of Man", "Liechtenstein", "Vatican", "EU28 (2013-2020)", "road", "route planning", "drainage", "highway", "in situ", "waterway", "artificial lake", "built-up area", "waterfall", "geography", "airport", "estuary", "dam", "coast", "soil", "glacier", "national boundary", "hydrography", "transportation", "maritime transport", "data base", "car park", "geo-referenced data", "surface water", "tidal water", "high-speed railway", "lake", "railway", "international watercourse", "water (geographic)", "river", "harbour", "human settlement", "railway network", "vegetation", "administrative boundary", "European"], "denominator": "250000", "edition": "11.1"}, "links": [{"href": "https://sdi.eea.europa.eu/data/ee1b7182-79a7-4974-a9c2-ebca2352a132", "name": "Direct download (Eionet authentication)", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ee1b7182-79a7-4974-a9c2-ebca2352a132.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "ee1b7182-79a7-4974-a9c2-ebca2352a132", "name": "item", "description": "ee1b7182-79a7-4974-a9c2-ebca2352a132", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ee1b7182-79a7-4974-a9c2-ebca2352a132"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2017-01-01T00:00:00Z", "2017-12-31T00:00:00Z"]}}, {"id": "ec36e79b-615a-4484-a3a5-2714dc3951c5", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-35.0, 27.0], [-35.0, 84.0], [47.0, 84.0], [47.0, 27.0], [-35.0, 27.0]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Mineral resources"}, {"id": "Hydrography"}, {"id": "Energy resources"}, {"id": "Administrative units"}, {"id": "Production and industrial facilities"}, {"id": "Protected sites"}, {"id": "Land use"}, {"id": "Soil"}, {"id": "Transport networks"}, {"id": "Population distribution \u2014 demography"}, {"id": "Utility and governmental services"}, {"id": "Land cover"}, {"id": "Geographical names"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "EU28 (2013-2020)"}, {"id": "Faeroe Islands"}, {"id": "Andorra"}, {"id": "Monaco"}, {"id": "Georgia"}, {"id": "Isle of Man"}, {"id": "Kosovo (UNSCR 1244/99)"}, {"id": "North Macedonia"}, {"id": "Moldova"}, {"id": "San Marino"}, {"id": "Vatican"}, {"id": "Ukraine"}, {"id": "EFTA4"}, {"id": "Liechtenstein"}, {"id": "Serbia"}], "scheme": "Continents, countries, sea regions of the world."}, {"concepts": [{"id": "built-up area"}, {"id": "harbour"}, {"id": "estuary"}, {"id": "surface water"}, {"id": "soil"}, {"id": "data base"}, {"id": "road"}, {"id": "high-speed railway"}, {"id": "geo-referenced data"}, {"id": "airport"}, {"id": "dam"}, {"id": "drainage"}, {"id": "tidal water"}, {"id": "international watercourse"}, {"id": "river"}, {"id": "car park"}, {"id": "waterway"}, {"id": "lake"}, {"id": "coast"}, {"id": "national boundary"}, {"id": "geography"}, {"id": "in situ"}, {"id": "railway"}, {"id": "vegetation"}, {"id": "railway network"}, {"id": "glacier"}, {"id": "highway"}, {"id": "artificial lake"}, {"id": "water (geographic)"}, {"id": "administrative boundary"}, {"id": "route planning"}, {"id": "human settlement"}, {"id": "hydrography"}, {"id": "transportation"}, {"id": "waterfall"}, {"id": "maritime transport"}], "scheme": "GEMET"}, {"concepts": [{"id": "European"}], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "Land use"}, {"id": "Transport and mobility"}, {"id": "Buildings and construction"}, {"id": "Soil"}, {"id": "Water"}], "scheme": "EEA topics"}], "license": "INTELLECTUAL PROPERTY RIGHTS: The Commission is authorized to distribute derived geographic data and other derived products, if (1) The original geometry is generalised to the equivalent of a scale of 1:1000000 or smaller, applying the same quality principles in terms of resolution and accuracy as for the original geographic data or if the content of information in terms of number of features is less or equal to 20% of the number of features in the original geographic data (for the data extent relevant to the data to be distributed), (2) The data is not used for commercial purpose and, (3) The source is acknowledged. More information about the acknowledgement of the source or metadata is given in the document \"LicenseConditions.pdf\" provided with the dataset.", "rights": "The Commission will store the geographic data set on a central server that is accessible by Commission staff. Eurostat will distribute parts or the entire data within the Commission, to the EU Executive Agencies and to subcontractors. The Commission is authorised to use the geographic data as follows: (1) As geographic reference, i.e. creating a geographical context for other data. (2) For the production of maps, publications, posters, presentations and statistical analysis. (3) For deriving new geographic datasets by applying data manipulation procedures, e.g. combining different geographic datasets, generalisation procedures including smoothing and dropping of spatial features, adding new attribute information. Examples of derived geographic data are the NUTS map or the Trans European Transport Network. (4) For distributing the geographic data within the Commission as well as to the public in the form of publications, posters, presentations, derived analysed statistical data and derived geographic datasets. (5) For inclusion of the geographic data as map services in other applications provided that it will not possible to extract the original geographic data. (6) For spatial analysis and for mapping of results of these analysis.\nThe license conditions are spelled out in the \"LicenseConditions.pdf\" document provided together with the dataset.", "updated": "2025-10-09T11:21:19.681465Z", "type": "Dataset", "created": "2019-01-20", "language": "eng", "title": "EuroRegionalMap 2019 (ERM 2019), Jan. 2019", "description": "EuroRegionalMap (ERM) is a Pan-European topographic vector dataset at scale 1:250000, that is, seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries (NMCAs) using official national databases. \nThematic layers: Administrative Boundaries (BND), Hydrography (HYDRO), Miscellaneous (MISC), Named Location (NAME), Settlement (POP), Transportation (TRANS), Vegetation and Soils (VEG) as well as Points of Interest.\nThis metadata refers to the version 2019 of ERM, with the general reference for the supply being December 2018. The dataset is provided both in GDB and SHP formats. Main changes with respect to versions ERM v11.0 and v11.1 are:\n- The administrative boundaries have been updated using EBM 2019 as data source. Some countries (Great Britain, Moldova and Romania) have slightly adapted them so to fit with the topographical features of ERM.\n- Update of transportation, settlement, vegetation themes. \n- Data from Ukraine as well as French Guiana (GF), Guadeloupe (GP), Martinique (MQ), Reunion (RE), Mayotte (YT), Saint Barth\u00e9lemy (BL) and Saint Martin (MF) as overseas departments/collectivities of France belonging to the European Union are included in ERM 2019.\nFor more information about the data product specifications please refer to the documents \"ERM_2019_DataSpecification_EuroStat.pdf\", \"ERM_2019_TechnicalGuide.pdf\" and \"ERM_Eurostat_Lineage_ERM_2019.pdf\" provided with the dataset under the link \"Documents\".\nIMPORTANT NOTE: This dataset is only to be used internally in the EEA, for the purposes and under the conditions stated under the \"Resource Constraints\" elements of this metadata file and on the document \"LicenseConditions.pdf\" provided with this dataset under the link \"Documents\". This metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the original metadata file created by EuroGeographics is provided together with the dataset under \"Documents\" link (\"ERM_Eurostat_Metadata_ERM_2019.xml\" within the \"Metadata\").", "formats": [{"name": "SHP"}, {"name": "WWW:URL"}], "keywords": ["Mineral resources", "Hydrography", "Energy resources", "Administrative units", "Production and industrial facilities", "Protected sites", "Land use", "Soil", "Transport networks", "Population distribution \u2014 demography", "Utility and governmental services", "Land cover", "Geographical names", "EU28 (2013-2020)", "Faeroe Islands", "Andorra", "Monaco", "Georgia", "Isle of Man", "Kosovo (UNSCR 1244/99)", "North Macedonia", "Moldova", "San Marino", "Vatican", "Ukraine", "EFTA4", "Liechtenstein", "Serbia", "built-up area", "harbour", "estuary", "surface water", "soil", "data base", "road", "high-speed railway", "geo-referenced data", "airport", "dam", "drainage", "tidal water", "international watercourse", "river", "car park", "waterway", "lake", "coast", "national boundary", "geography", "in situ", "railway", "vegetation", "railway network", "glacier", "highway", "artificial lake", "water (geographic)", "administrative boundary", "route planning", "human settlement", "hydrography", "transportation", "waterfall", "maritime transport", "European", "Land use", "Transport and mobility", "Buildings and construction", "Soil", "Water"], "denominator": "250000", "edition": "12.0"}, "links": [{"href": "https://sdi.eea.europa.eu/data/ec36e79b-615a-4484-a3a5-2714dc3951c5", "name": "Direct download (Eionet authentication)", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/data/ec36e79b-615a-4484-a3a5-2714dc3951c5", "name": "Direct download (Eionet authentication)", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ec36e79b-615a-4484-a3a5-2714dc3951c5.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "ec36e79b-615a-4484-a3a5-2714dc3951c5", "name": "item", "description": "ec36e79b-615a-4484-a3a5-2714dc3951c5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ec36e79b-615a-4484-a3a5-2714dc3951c5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2018-12-01T00:00:00Z", "2018-12-31T00:00:00Z"]}}, {"id": "e3f55773-88bb-4e57-a4ff-4c24c00bf5cd", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.5, 53.2], [13.5, 53.44], [14.28, 53.44], [14.28, 53.2], [13.5, 53.2]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "vegetation"}, {"id": "kettle holes"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "field boundary"}, {"id": "field margin"}, {"id": "crop edge"}, {"id": "habitat island"}, {"id": "arable vegetation"}], "scheme": "Individual"}, {"concepts": [{"id": "Bodenbedeckung"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Uckermark"}], "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": "2024-03-01", "type": "Dataset", "created": "2024-02-15", "language": "eng", "title": "Vegetation data from field boundaries on outer field borders and around habitat islands on the field", "description": "Data was sampled in 2021 and 2022 on 40 fields, all managed conventionally and grown with winter cereals in the year of the survey. The fields were chosen in pairs in which each pair contained one field without any habitat islands and the other field had at least one habitat island. Only kettle holes were considered, as those are the dominant type of habitat islands in this region. The field pairs had to be nearby but separated through a real barrier like a field path, a lane, or a hedge \u2013 fields of one pair were not allowed to border on each other directly. The field pairs had a distance of at least 2.5 km from each other to avoid spatial autocorrelations.\nOn outer borders 4 plots were sampled on each field and additional four plots were sampled on inner borders of field with kettle holes (all around one kettle hole or equally distributed if there was more than one habitat island per field). \nPlots were 2 x 4 m large and located directly at field borders: 1 x 4 m located on the crop edge (CE) and 1 x 4 m located in permanent vegetation (field margin) outside the field (FM). \nAll plant species were determined and their abundances were estimated using the Londo-scale (Londo, G. 1976*). For the survey, the plots were divided into 8 subplots of 1x1 m each to better estimate abundances. For analysis, plots were aggregated, using mean values.\nN = 160 outer CE + 160 outer FM + 80 inner CE + 80 inner FM = 480 vegetation survey plots.\n\n*Londo, G. \u201cThe Decimal Scale for Releves of Permanent Quadrats.\u201d Vegetatio 33, no. 1 (1976): 61\u201364. http://www.jstor.org/stable/20036965.", "formats": [{"name": "CSV"}], "keywords": ["vegetation", "kettle holes", "opendata", "field boundary", "field margin", "crop edge", "habitat island", "arable vegetation", "Bodenbedeckung", "Germany", "Brandenburg", "Uckermark"], "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": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Ines Heyer", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Ines.heyer@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0005-5270-7053", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Ines Heyer", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Ines.heyer@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0005-5270-7053", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 0/3, table: Index Vegetation"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=e3f55773-88bb-4e57-a4ff-4c24c00bf5cd", "rel": "information"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/terms and design heyer.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/e3f55773-88bb-4e57-a4ff-4c24c00bf5cd", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "e3f55773-88bb-4e57-a4ff-4c24c00bf5cd", "name": "item", "description": "e3f55773-88bb-4e57-a4ff-4c24c00bf5cd", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/e3f55773-88bb-4e57-a4ff-4c24c00bf5cd"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-01T00:00:00Z"}}, {"id": "oai:estudiosgeologicos.revistas.csic.es:article/198", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:35:05Z", "type": "Report", "title": "Volcanic processes and risk", "description": "Open AccessMagmas are generated in four well-defined geodynamic settings: a) constructive plate margins, including mid-ocean ridges and back-ac basins; b) destructive plate margins, such as island arcs and active continental margins; c) oceanic intraplate areas, and d) continental intraplate areas. In mid-ocean ridges, intraoceanic island-arcs and oceanic islands, magmas can only be generated at the upper mantle due to the absence of continental crust. On the contrary, the crust can play an important role in continental settings. Additionally, the generation of magma in the upper mantle can be located in the asthenosphere and the lithosphere. The mechanisms of magma generation in each geodynamic setting is different. In constructive plate margins, the asthenosphere rises adiabatically and melts. In destructive margins, melting is linked to subduction. Finally, in continental intraplate areas melting is associated to extensional processes, which can be linked to various phenomena such as indentation, delamination or mantle plumes, as in the case of oceanic intraplate settings. The eruptive mode depends strongly on the magma composition, and more precisely of its temperature, viscosity and gas content. In general, basaltic magmas (characterised by SiO2 abundances between 45 to 52%, temperatures of 1.000-1.200 \u00b0C, viscosities of 10-102 Pa\u00b7s and low gas content) erupt in a quiet or moderately explosive way, producing hawaiian- or strombolian-type eruptions. On the other hand, acid magmas(with SiO2 higher than 53%, temperatures of 700-900 \u00b0C, viscosities between 106 and 108 Pa\u00b7s and high gas contents) are characterised by explosive, vulcanian- to plinian-type eruptions. At global scale, the volcanic eruptions and their associated phenomena are less frequent and involve less victims and damage than other natural disasters. According to the recent database by Witham (2005), from the 176 considered volcanoes and volcanic areas, only a half are related to more than one incident in the 20th century. Additionally, from the 491 eruptions produced in that period, about 50% resulted in deaths. Considering the type of materials erupted, pyroclastic density currents were the main death causes, followed by lahars, which are the main cause of injuring. On the contrary, lava flows and pyroclastic falls involved a relatively low number of deaths and injuries even though pyroclastic falls were responsible of a great number of people losing their homes or being evacuated. Since the eruptions of the volcanoes associated to subduction areas are in general of greater explosivity and therefore more dangerous than intraplate volcanoes, the regions where more deaths are linked to volcanic activity in the 20th century were the Caribbean, South and Central America, and SE Asia.", "keywords": ["magma generation", "arcos-isla", "volcanic hazard", "erupciones plinianas", "lahars", "erupciones vulcanianas", "destrucci\u00f3n parcial edificios volc\u00e1nicos", "zonas de intraplaca", "island arcs", "m\u00e1rgenes continentales activos", "erupciones hawaianas", "active continental margins", "plinian eruptions", "dorsales oce\u00e1nicas", "hawaiian eruptions", "partial destruction of volcanic edifices", "vulcanian eruptions", "intraplate settings", "lahares", "generaci\u00f3n de magmas", "strombolian eruptions", "volcani", "mid-ocean ridges", "erupciones estrombolianas", "pe"], "contacts": [{"organization": "L\u00f3pez-Ruiz, J., Cebri\u00e1, J. M.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/oai:estudiosgeologicos.revistas.csic.es:article/198"}, {"rel": "self", "type": "application/geo+json", "title": "oai:estudiosgeologicos.revistas.csic.es:article/198", "name": "item", "description": "oai:estudiosgeologicos.revistas.csic.es:article/198", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/oai:estudiosgeologicos.revistas.csic.es:article/198"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-01-01T00:00:00Z"}}, {"id": "3e71182f-c446-4ebb-a272-ce17dffcd60f", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[121.68, 5.33], [121.68, 10.34], [126.95, 10.34], [126.95, 5.33], [121.68, 5.33]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2022-08-11T09:11:22", "language": "eng", "title": "Saturated Soil Water Content (Mindanao, Philippines - 250m)", "description": "Saturated soil water content calculated over the study area of Mindanao island of Philippines. 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The actual Evapotranspiration (ETa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. The data has been resampled to 250 from SSEBop ET product (Senay et al. 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