{"type": "FeatureCollection", "features": [{"id": "10.1016/j.still.2020.104672", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:10Z", "type": "Journal Article", "created": "2020-05-15", "title": "Can pedotransfer functions based on environmental variables improve soil total nutrient mapping at a regional scale?", "description": "Abstract   Numerous pedotransfer functions (PTFs) have been developed to predict the soil properties of interest from other soil properties and, less commonly, from environmental variables. However, only a few PTFs have been developed to predict soil nutrients using environmental variables and to extrapolate them to characterize spatial soil variations at a regional scale. In this study, we attempted to develop PTFs for the total nitrogen (TN), total phosphorus (TP) and total potassium (TK) concentrations in three typical pedo-climatic areas of China (Fujian Province, Jiangsu Province and Qilian Mountains) with diverse climate, terrain and soil types. A series of linear PTFs were developed to quantify the effect of terrain and climate on the predictive relations between the soil nutrients and other measured soil properties and environmental variables. In addition, digital soil mapping (DSM) based on the random forest (RF) technique was performed to test the hypothesis that the best-fit PTFs could be extrapolated, based on soil maps and environmental variables, to describe regional soil variations in the soil nutrients. The root mean square errors (RMSEs) of the best-fit PTFs for TN, TP and TK ranged from 0.21 to 0.79 g kg\u22121, 0.20 to 0.58 g kg\u22121, and 3.68 to 5.00 g kg\u22121, respectively. Different RMSEs were produced by DSM, namely 0.37-1.89 g kg\u22121, 0.19\u22120.56 g kg\u22121 and 3.79-4.83 g kg\u22121 for TN, TP and TK, respectively. PTFs provided a sound basis for database compilation if the soil properties were highly correlated. However, the extrapolation of best-fit PTFs to regional scales yielded greater errors than those produced by DSM. The comparison results reveal the limitations of PTFs and suggest that their performance could be improved by using environmental covariates or by fitting data in areas with relatively homogeneous soil landscapes. The DSM techniques may provide satisfactory alternatives to predict soil data at both regional and plot scales.", "keywords": ["Digital soil mapping", "Total phosphorus", "Total potassium", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "Total nitrogen", "15. Life on land", "Regression analysis", "01 natural sciences", "Random forest", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2020.104672"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2020.104672", "name": "item", "description": "10.1016/j.still.2020.104672", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2020.104672"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-01T00:00:00Z"}}, {"id": "3024869357", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:52Z", "type": "Journal Article", "created": "2020-05-15", "title": "Can pedotransfer functions based on environmental variables improve soil total nutrient mapping at a regional scale?", "description": "Abstract   Numerous pedotransfer functions (PTFs) have been developed to predict the soil properties of interest from other soil properties and, less commonly, from environmental variables. However, only a few PTFs have been developed to predict soil nutrients using environmental variables and to extrapolate them to characterize spatial soil variations at a regional scale. In this study, we attempted to develop PTFs for the total nitrogen (TN), total phosphorus (TP) and total potassium (TK) concentrations in three typical pedo-climatic areas of China (Fujian Province, Jiangsu Province and Qilian Mountains) with diverse climate, terrain and soil types. A series of linear PTFs were developed to quantify the effect of terrain and climate on the predictive relations between the soil nutrients and other measured soil properties and environmental variables. In addition, digital soil mapping (DSM) based on the random forest (RF) technique was performed to test the hypothesis that the best-fit PTFs could be extrapolated, based on soil maps and environmental variables, to describe regional soil variations in the soil nutrients. The root mean square errors (RMSEs) of the best-fit PTFs for TN, TP and TK ranged from 0.21 to 0.79 g kg\u22121, 0.20 to 0.58 g kg\u22121, and 3.68 to 5.00 g kg\u22121, respectively. Different RMSEs were produced by DSM, namely 0.37-1.89 g kg\u22121, 0.19\u22120.56 g kg\u22121 and 3.79-4.83 g kg\u22121 for TN, TP and TK, respectively. PTFs provided a sound basis for database compilation if the soil properties were highly correlated. However, the extrapolation of best-fit PTFs to regional scales yielded greater errors than those produced by DSM. The comparison results reveal the limitations of PTFs and suggest that their performance could be improved by using environmental covariates or by fitting data in areas with relatively homogeneous soil landscapes. The DSM techniques may provide satisfactory alternatives to predict soil data at both regional and plot scales.", "keywords": ["Digital soil mapping", "Total phosphorus", "Total potassium", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "Total nitrogen", "15. Life on land", "Regression analysis", "01 natural sciences", "6. 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This data were created as part of BonaRes Module A-Project - INNOSOILPHOS's research activities.\n\nAlthough every care has been taken in preparing and testing the data, BonaRes Module A - Project - INNOSOILPHOS and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A - Project and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project-INNOSOILPHOS and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2020-12-03", "type": "Dataset", "created": "2017-10-19", "language": "eng", "title": "Phosphorus Concentrations in a North-Eastern German Lowland Watershed on three Spatial Scales", "description": "Phosphorus (P) is an essential nutrient for crop production. Nonetheless, the runoff of P to rivers and streams, and the potential of eutrophication of surface waters also give rise to environmental concerns. The mitigation of surface water pollution is, therefore, one of most challenging issues in future agricultural P management. This dataset comprises discharge data and concentrations of dissolved reactive phosphorus (DRP) and total phosphorus (TP) on three differnet spatial scales (drain (4.2 ha), drainage ditch (179 ha) and brook (15.5 km\u00b2)) in a small agricultural lowland watershed in North-Eastern Germany.", "formats": [{"name": "CSV"}], "keywords": ["drainage", "Subsurface drainage", "Tile drainage", "Nonpoint pollution", "Water pollution", "Spatial scale", "Concentration", "Dissolved reactive phosphorus", "Total phosphorus", "opendata", "phosphorus", "drainage", "freshwater quality", "diffuse pollution", "Boden", "inspireidentifiziert"], "contacts": [{"name": "Stefan Koch", "organization": "University of Rostock", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "stefan.koch4@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18059", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Peter Leinweber", "organization": "University of Rostock", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": "Rostock", "administrativeArea": null, "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Evelyn Bolzmann", "organization": "University of Rostock", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "evelyn.bolzmann@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Andreas Bauwe", "organization": "University of Rostock", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "andreas.bauwe@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "University of Rostock", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=40cea0e4-7015-4dc5-a2ef-96fec9bbf4c1", "rel": "download"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/Inno_6_schieren.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": "40cea0e4-7015-4dc5-a2ef-96fec9bbf4c1", "name": "item", "description": "40cea0e4-7015-4dc5-a2ef-96fec9bbf4c1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/40cea0e4-7015-4dc5-a2ef-96fec9bbf4c1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2015-11-01T00:00:00Z", "2017-04-30T00:00:00Z"]}}, {"id": "4d171e57-0006-48f8-9dfd-367d724ecc9f", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.22, 53.99], [12.22, 54.02], [12.28, 54.02], [12.28, 53.99], [12.22, 53.99]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "soil water"}, {"id": "elements"}, {"id": "redox potential"}, {"id": "dissolved organic phosphorus"}, {"id": "plant available phosphorus"}, {"id": "total phosphorus"}, {"id": "carbon"}, {"id": "dissolved inorganic carbon"}, {"id": "dissolved organic carbon"}, {"id": "nitrates"}, {"id": "nitrites"}, {"id": "sulphates"}, {"id": "calcium"}, {"id": "potassium"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "pH"}, {"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}, {"id": "Bodenwasser"}, {"id": "Redoxreaktion"}, {"id": "Phosphor"}], "scheme": "GEMET - Concepts, version 2.4"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - InnoSoilPhos's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2022-04-08", "type": "Dataset", "created": "2021-04-06", "language": "eng", "title": "Lysimeter data Rostock: Redox potential, pH and element concentrations of pore water in 2019 (Data collection)", "description": "The dataset contains soil pore water data from three sampling depths of three soil profiles from along a hill slope in Northern Germany. Data inform about weekly redox potential (Eh), pH and element concentrations (TC, IC, OC, NO2- -N, NO3- -N, PO43- -P, SO42- -S, total Ca, K, Mg, P, Fe, Al, Mn, and Zn) in filtered (0.45 \u00b5m) and unfiltered ( 1 \u00b5m) soil pore water samples collected in 2019. They are partly published in Baumann et al. 2020, Phosphorus cycling and spring barley crop response to varying redox potential, Vadose Zone J., DOI: 10.1002/vzj2.20088\n\nResearch domain: Soil Sciences\n\nResearch question: Controlled drainage may affect phosphorus mobilization in soil. To assess P mobilization at different redox conditions, three soil profiles with redoximorphic features were selected along a slight hill slope and lysimeter monoliths were collected by drilling. Lysimeters were cropped with spring barley and catch-cropped with serradella. Water levels of the monoliths were adjusted to high and low water table to mimic closed and open drainage, respectively. The redox potential (Eh) was measured in situ and pore water was sampled weekly from three different depths of the lysimeters to determine pH and the element concentrations total C, P, Al, Fe, Mn, Zn, Ca, Mg, and K, as well as inorganic and organic C (DIC, DOC), PO43--P, SO42--S, NO2-- and NO3- -N, Cl- and Br- in solutions (0.45 \u00b5m and 1 \u00b5m). Thus, information about different element concentrations at different redox potentials and pH was gained over a period of about 5 months in 2019.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "soil water", "elements", "redox potential", "dissolved organic phosphorus", "plant available phosphorus", "total phosphorus", "carbon", "dissolved inorganic carbon", "dissolved organic carbon", "nitrates", "nitrites", "sulphates", "calcium", "potassium", "pH", "opendata", "Boden", "Bodenwasser", "Redoxreaktion", "Phosphor"], "contacts": [{"name": "Baumann, Karen", "organization": "University of Rostock", "position": "post-doc", "roles": ["author"], "phones": [{"value": "493 814 983 184"}], "emails": [{"value": "karen.baumann@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18051", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Leinweber, Peter", "organization": "University of Rostock", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "493 814 983 120"}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18051", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of Rostock", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=4d171e57-0006-48f8-9dfd-367d724ecc9f", "rel": "information"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/906cdf90-8ee0-4e9f-b13a-68e2175810ef", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "4d171e57-0006-48f8-9dfd-367d724ecc9f", "name": "item", "description": "4d171e57-0006-48f8-9dfd-367d724ecc9f", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/4d171e57-0006-48f8-9dfd-367d724ecc9f"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-08T00:00:00Z"}}, {"id": "8d0d98f1-05cd-458f-b4c2-07f234f96c6b", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.7, 53.0], [12.7, 54.15], [14.25, 54.15], [14.25, 53.0], [12.7, 53.0]]]}, "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 Other's research activities.\" Although every care has been taken in preparing and testing the data, the Other and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Other 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 Other and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2021-06-10", "type": "Service", "created": "2021-05-25", "language": "eng", "title": "WMS Service of the dataset 'Terrestrial and Aquatic Kraatz and Rittgarten Kettle Hole Experiments (ID)'", "description": "This WMS Service includes spatial information used by datasets 'WMS Service of the dataset 'Terrestrial and Aquatic Kraatz and Rittgarten Kettle Hole Experiments (ID)''", "keywords": ["infoMapAccessService", "Soil", "tillage erosion", "erosion", "agricultural landscape", "agricultural research", "inland waters", "sediment", "colluvium", "metals", "phosphorus", "total phosphorus", "calcium", "iron", "potassium", "biogeochemistry", "Luvisols", "Regosols", "Phragmites australis"], "contacts": [{"name": "Kai Nils Nitzsche", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Assistant", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "kai.nitzsche@jamstec.go.jp"}], "addresses": [{"deliveryPoint": ["Eberswalder Str. 84"], "city": "Muencheberg", "administrativeArea": null, "postalCode": "15374", "country": "Deutschland"}], "links": [{"href": null}]}, {"name": "Katrin Premke", "organization": "Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Chemical Analytic and Biogeochemistry", "position": "Research Assistant", "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "katrin.premke@charite.de"}], "addresses": [{"deliveryPoint": ["Mueggelseedamm 310"], "city": "Berlin", "administrativeArea": null, "postalCode": "12587", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - 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Concepts, version 2.4"}, {"concepts": [{"id": "opendata"}, {"id": "specific UV absorbance (SUVA)"}], "scheme": "Individual"}, {"concepts": [{"id": "redox potential"}, {"id": "subsoil"}, {"id": "soil water constants"}, {"id": "elements"}, {"id": "plant available phosphorus"}, {"id": "total phosphorus"}, {"id": "carbon"}, {"id": "dissolved inorganic carbon"}, {"id": "dissolved organic carbon"}, {"id": "ammonium"}, {"id": "nitrates"}, {"id": "nitrites"}, {"id": "calcium"}, {"id": "aluminium"}, {"id": "iron"}, {"id": "manganese"}, {"id": "soil solution"}, {"id": "phosphates"}, {"id": "drainage water"}, {"id": "lysimeters"}, {"id": "slope"}, {"id": "nitrogen content"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - BonaRes - InnoSoilPhos's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - InnoSoilPhos and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - InnoSoilPhos and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - BonaRes - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-03-28", "type": "Dataset", "created": "2022-04-28", "language": "eng", "title": "Lysimeter data Rostock: Redox potential, pH and element concentrations of pore water in 2021", "description": "The dataset contains soil pore water data from three sampling depths of three soil profiles from along a hill slope in Northern Germany. Data inform about weekly redox potential (Eh), pH and element concentrations (TC, IC, OC, TN, NH4+ -N, NO2- -N, NO3- -N, PO43- -P, total Ca, P, Fe, Al, and Mn) in filtered (0.45 \u00b5m) soil pore water samples collected in 2021.\n\nResearch domain: Soil Sciences\n\nResearch question: Controlled drainage may affect phosphorus mobilization in soil. To assess P mobilization at different redox conditions, three soil profiles with redoximorphic features were selected along a slight hill slope and lysimeter monoliths were collected by drilling in 2018. In 2021, lysimeters were cropped with maize. Five maize plants of each lysimeter were supplied with underfoot fertilizer (P and S) while further five plants of each lysimeter were left without fertilizer. Water levels of the monoliths were adjusted to high and low water table to mimic closed and open drainage, respectively. The redox potential (Eh) was measured in situ and pore water was sampled weekly from three different depths of the lysimeters to determine pH and the element concentrations total C, N, P, Al, Fe, Mn, and Ca as well as inorganic and organic C (DIC, DOC), NH4+-N, NO2- -N, NO3- -N and PO43- -P in solutions (0.45 \u00b5m). Thus, information about different element concentrations at different redox potentials and pH was gained over a period of about 6.5 months in 2021.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "opendata", "specific UV absorbance (SUVA)", "redox potential", "subsoil", "soil water constants", "elements", "plant available phosphorus", "total phosphorus", "carbon", "dissolved inorganic carbon", "dissolved organic carbon", "ammonium", "nitrates", "nitrites", "calcium", "aluminium", "iron", "manganese", "soil solution", "phosphates", "drainage water", "lysimeters", "slope", "nitrogen content"], "contacts": [{"name": "Baumann, Karen", "organization": "University of Rostock; present organization: University of Vechta", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "karen.baumann@uni-rostock.de; present email: karen.baumann@uni-vechta.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://orcid.org", "protocol": null, "protocol_url": "", "name": "0000-0003-1341-052X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Leinweber, Peter", "organization": "University of Rostock", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://orcid.org", "protocol": null, "protocol_url": "", "name": "0000-0003-3776-2984", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "BonaRes Data Center", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of Rostock; present organization: University of Vechta", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=2f559cf4-8685-40b3-a6e1-4ad4a9120168", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "2f559cf4-8685-40b3-a6e1-4ad4a9120168", "name": "item", "description": "2f559cf4-8685-40b3-a6e1-4ad4a9120168", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2f559cf4-8685-40b3-a6e1-4ad4a9120168"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-28T00:00:00Z"}}, {"id": "bfd7a9b9-c317-4a50-ad0e-881e9d241e31", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[10.99, 3.68], [10.99, 4.38], [12.03, 4.38], [12.03, 3.68], [10.99, 3.68]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "biological nitrogen fixation"}, {"id": "cowpeas"}, {"id": "total phosphorus"}, {"id": "phylogeny"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "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 Author's research activities.\" Although every care has been taken in preparing and testing the data, the Author and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Author 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 Author and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2024-03-11", "type": "Dataset", "created": "2022-03-16", "language": "eng", "title": "Dataset of Nitrogen Fixation Related Traits of Cowpeas in Low Phosphorus Soils of Cameroon.", "description": "The use of morphological attributes have traditionally been used to establish phylogenetic relationships among genotypes between and within species and for various other purposes including identification of duplicates, studies of genetic variation patterns, and correlation of characteristics of agronomic importance. Therefore characterizing cowpea genotypes is an important step in conserving biodiversity and facilitating breeding. A pot experiment was used to characterize 50 cowpea (Vigna unguiculata  ) genotypes in the screen house at Nkolbisson IITA, Cameroon. These genotypes were collected in 2012 from various sources: the International Institute of Tropical Agriculture (IITA), Senegalese Agricultural Research Institute (ISRA), University of California, Riverside (UCR); and one genotype evaluated previously at the study site (Danilla) in Cameroon. Soil samples were analyzed for pH, organic C, N, exchangeable Ca, Mg, K, and extractable P. Data was collected for 20 morphological traits related to grain yields, nitrogen fixation and plant growth.\n\nResearch domain: Plant Breeding\n\nResearch question: How related are the cowpeas grown in Cameroon based on amount of nitrogen fixed and grain yield?.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "biological nitrogen fixation", "cowpeas", "total phosphorus", "phylogeny", "opendata", "Boden"], "contacts": [{"name": "Maureen Fonji, Atemkeng", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "atemkeng@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "ZALF", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Maureen Fonji, Atemkeng", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "atemkeng@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "Tietchou  Cyrille, Yousseu,", "organization": "Faculty of Agronomy and Agricultural Sciences, University of Dschang", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "yousse@yahoo.fr"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": "Cameroon"}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF);Faculty of Agronomy and Agricultural Sciences, University of Dschang", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=bfd7a9b9-c317-4a50-ad0e-881e9d241e31", "rel": "download"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/Phenogram_of_50_cowpea_accessions_grown_in_low_P_soils.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": "bfd7a9b9-c317-4a50-ad0e-881e9d241e31", "name": "item", "description": "bfd7a9b9-c317-4a50-ad0e-881e9d241e31", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/bfd7a9b9-c317-4a50-ad0e-881e9d241e31"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-11T00:00:00Z"}}, {"id": "1770c71c-b36f-404d-b336-8b96476cfec6", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.22, 53.99], [12.22, 54.02], [12.28, 54.02], [12.28, 53.99], [12.22, 53.99]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "elements"}, {"id": "total phosphorus"}, {"id": "carbon"}, {"id": "calcium"}, {"id": "aluminium"}, {"id": "iron"}, {"id": "manganese"}, {"id": "nitrogen"}, {"id": "sulfur"}, {"id": "potassium"}, {"id": "magnesium"}, {"id": "zinc"}, {"id": "leaves"}, {"id": "stems"}, {"id": "shoots"}, {"id": "grain"}, {"id": "slope"}, {"id": "spring barley"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "Elemente"}, {"id": "Kohlenstoff"}, {"id": "Aluminium"}, {"id": "Calcium"}, {"id": "Eisen"}, {"id": "Phosphor"}, {"id": "Stickstoff"}, {"id": "Zink"}, {"id": "Schwefel"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - BonaRes - InnoSoilPhos's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - InnoSoilPhos and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - InnoSoilPhos and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - BonaRes - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-04-17", "type": "Dataset", "created": "2022-04-28", "language": "eng", "title": "Lysimeter data Rostock: characteristics of maize plants grown with and without underfoot fertilization in 2021", "description": "The dataset contains fresh and dry plant mass, BBCH development stages as well as plant height and element concentrations (total C, N, S, Al, Fe, Ca, K, Mg, P, and Zn) of maize grown in lysimeter areas which were either fertilized or unfertilized with P- und S-containing fertilizer pellets. The plants were grown under varying redox conditions on three soil profiles from along a hill slope in Northern Germany in 2021.    \nResearch question: Controlled drainage may affect element mobilization in soil, in particular phosphorus. Three soil profiles with redoximorphic features were selected from along a slight hill slope to establish three lysimeter monoliths. Water levels of the monoliths were adjusted to high and low water table to mimic closed and open drainage, respectively. Maize plants were sown with either underfoot fertilization or no addition of P- & S-fertilizer. Plants were harvested after 4, 6, 8, 12 and 20 weeks, respectively. Plant developmental stage, plant height, dry mass as well as element concentrations (total C, N, S, Al, Fe, Ca, K, Mg, P, and Zn) were determined to assess the effect of the fertilizer.\n\n\nResearch domain: Plant Nutrition\n\nResearch question: Controlled drainage may affect element mobilization in soil, in particular phosphorus. Three soil profiles with redoximorphic features were selected from along a slight hill slope to establish three lysimeter monoliths. Water levels of the monoliths were adjusted to high and low water table to mimic closed and open drainage, respectively. Maize plants were sown with either underfoot fertilization or no addition of P- & S-fertilizer. Plants were harvested after 4, 6, 8, 12 and 20 weeks, respectively. 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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 Other's research activities.\" Although every care has been taken in preparing and testing the data, the Other and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Other 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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