{"type": "FeatureCollection", "features": [{"id": "11586/416233", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:16Z", "type": "Journal Article", "created": "2023-01-02", "title": "Prospective Scenarios for Addressing the Agricultural Plastic Waste Issue: Results of a Territorial Analysis", "description": "

Agricultural activities have been positively affected by the use of plastic products, but this has resulted in the production of plastic waste and led to an increase in environmental pollution. To continue benefiting from the use of plastics but addressing at the same time the environmental issue, two strategies seem viable: the development of technologies for extending plastics lifespan and the gradual replacement of traditional non-biodegradable materials by biodegradable ones, at least for some products. This study focuses on a territorial analysis, performed using a Geographic Information System (GIS) in an agricultural area of the Apulia region (southern Italy). Areas of agricultural plastic waste production were identified through land-use maps. The application of plastic waste indices to different crop types and plastic products allowed quantifying and georeferencing actual plastic waste production. From this actual visualization, the other strategies were obtained by properly managing the indices. Two improved scenarios were obtained, the first consisted of extending the lifespan of some plastics, and the second entailed the introduction of some biodegradable alternatives. About 11,103 tons of agricultural plastic waste are yearly produced in the area and 7450 tons come from covering films. Lifespan extension would reduce the annual waste amount by about 25%, while more alternative products are needed to achieve significant results in the second scenario.

", "keywords": ["Technology", "QH301-705.5", "QC1-999", "plastic detection", "01 natural sciences", "12. Responsible consumption", "11. Sustainability", "Biology (General)", "QD1-999", "0105 earth and related environmental sciences", "2. Zero hunger", "products lifespan", "T", "Physics", "sustainability; GIS; land use; plastic detection; waste management; biodegradable plastic; products lifespan", "land use", "04 agricultural and veterinary sciences", "biodegradable plastic", "15. Life on land", "sustainability", "GIS", "Engineering (General). Civil engineering (General)", "Chemistry", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "waste management", "TA1-2040"]}, "links": [{"href": "http://www.mdpi.com/2076-3417/13/1/612/pdf"}, {"href": "https://www.mdpi.com/2076-3417/13/1/612/pdf"}, {"href": "https://doi.org/11586/416233"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11586/416233", "name": "item", "description": "11586/416233", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11586/416233"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-02T00:00:00Z"}}, {"id": "10459.1/60556", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:59Z", "type": "Journal Article", "created": "2017-11-10", "title": "Disaggregation of SMOS Soil Moisture to 100 m Resolution Using MODIS Optical/Thermal and Sentinel-1 Radar Data: Evaluation over a Bare Soil Site in Morocco", "description": "

The 40 km resolution SMOS (Soil Moisture and Ocean Salinity) soil moisture, previously disaggregated at a 1 km resolution using the DISPATCH (DISaggregation based on Physical And Theoretical scale CHange) method based on MODIS optical/thermal data, is further disaggregated to 100 m resolution using Sentinel-1 backscattering coefficient (\u03c3\u00b0). For this purpose, three distinct radar-based disaggregation methods are tested by linking the spatio-temporal variability of \u03c3\u00b0 and soil moisture data at the 1 km and 100 m resolution. The three methods are: (1) the weight method, which estimates soil moisture at 100 m resolution at a certain time as a function of \u03c3\u00b0 ratio (100 m to 1 km resolution) and the 1 km DISPATCH products of the same time; (2) the regression method which estimates soil moisture as a function of \u03c3\u00b0 where the regression parameters (e.g., intercept and slope) vary in space and time; and (3) the Cumulative Distribution Function (CDF) method, which estimates 100 m resolution soil moisture from the cumulative probability of 100 m resolution backscatter and the maximum to minimum 1 km resolution (DISPATCH) soil moisture difference. In each case, disaggregation results are evaluated against in situ measurements collected between 1 January 2016 and 11 October 2016 over a bare soil site in central Morocco. The determination coefficient (R2) between 1 km resolution DISPATCH and localized in situ soil moisture is 0.31. The regression and CDF methods have marginal effect on improving the DISPATCH accuracy at the station scale with a R2 between remotely sensed and in situ soil moisture of 0.29 and 0.34, respectively. By contrast, the weight method significantly improves the correlation between remotely sensed and in situ soil moisture with a R2 of 0.52. Likewise, the soil moisture estimates show low root mean square difference with in situ measurements (RMSD= 0.032 m3 m\u22123).

", "keywords": ["soil moisture and ocean salinity satellite (SMOS)", "Atmospheric Science", "Artificial intelligence", "Environmental Engineering", "550", "Science", "Soil Moisture", "0211 other engineering and technologies", "Aerospace Engineering", "FOS: Mechanical engineering", "02 engineering and technology", "01 natural sciences", "Environmental science", "[SDU] Sciences of the Universe [physics]", "Engineering", "Meteorology", "DISPATCH", "Image resolution", "Arctic Permafrost Dynamics and Climate Change", "14. Life underwater", "Moisture", "0105 earth and related environmental sciences", "Soil science", "Water content", "Radar", "Geography", "soil moisture and ocean salinity satellite (SMOS); DISPATCH; radar; Sentinel-1; disaggregation; soil moisture", "Soilmoisture and ocean salinity satellite (SMOS)", "Synthetic Aperture Radar Interferometry", "Q", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "Remote Sensing of Soil Moisture", "Surface Deformation Monitoring", "Computer science", "Earth and Planetary Sciences", "Groundwater Extraction", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "disaggregation", "Environmental Science", "Physical Sciences", "Sentinel-1", "soil moisture", "radar"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/9/11/1155/pdf"}, {"href": "https://doi.org/10459.1/60556"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10459.1/60556", "name": "item", "description": "10459.1/60556", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10459.1/60556"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-10T00:00:00Z"}}, {"id": "10468/11549", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:59Z", "type": "Journal Article", "created": "2021-03-26", "title": "Advanced Solid State Nano-electrochemical Sensors and System for Agri 4.0 Applications", "description": "

Global food production needs to increase in order to meet the demands of an ever growing population. As resources are finite, the most feasible way to meet this demand is to minimize losses and improving efficiency. Regular monitoring of factors like animal health, soil and water quality for example, can ensure that the resources are being used to their maximum efficiency. Existing monitoring techniques however have limitations, such as portability, turnaround time and requirement for additional reagents. In this work, we explore the use of micro and nano scale electrode devices, for the development of electrochemical sensing platform to digitalize a wide range of applications within the Agri-food sector. With this platform, we demonstrate the direct electrochemical detection of pesticides, specifically clothianidin and imidacloprid with detection limits of 0.22 ng/mL and 2.14 ng/mL respectively, and nitrates with a detection limit of 0.2 \u00b5M. In addition, interdigitated electrode structures also enable an in-situ pH control technique to mitigate pH as an interference and modify analyte response. This technique is applied to the analysis of monochloramine, a common water disinfectant. Concerning biosensing, the sensors are modified with biomolecular probes for the detection of both bovine viral diarrhea virus particles and antibodies, over a range of 1 ng/mL to 10 \u00b5g/mL. Finally, a portable analogue front end electronic reader is developed to allow portable sensing, with control and readout undertaken using a smart phone application. Finally, the sensor chip platform is integrated with these electronics to provide a fully functional end-to-end smart sensor system compatible with emerging AgriFood digital decision support tools.

", "keywords": ["Ph control", "TP1-1185", "02 engineering and technology", "7. Clean energy", "01 natural sciences", "Article", "Electrochemical sensors", "Pesticides", "virus detection", "agriculture", "Virus detection", "2. Zero hunger", "Nitrates", "nitrates", "Chemical technology", "pH control", "electrochemical sensors", "Agriculture", "pesticides", "biosensors", "6. Clean water", "0104 chemical sciences", "Nanosensors", "Biosensors", "0210 nano-technology", "nanosensors"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/21/9/3149/pdf"}, {"href": "https://doi.org/10468/11549"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10468/11549", "name": "item", "description": "10468/11549", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10468/11549"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-26T00:00:00Z"}}, {"id": "10.6084/m9.figshare.9120041.v1", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:27Z", "type": "Report", "created": "2019-07-27", "title": "Supplementary Tables associated with \"Silicon Isotopes in Arctic and sub-Arctic Glacial Meltwaters: The Role of the Subglacial Weathering in the Silicon Cycle\" from Silicon isotopes in Arctic and sub-Arctic glacial meltwaters: the role of the subglacial weathering in the silicon cycle", "description": "Glacial environments play an important role in high-latitude marine nutrient cycling, potentially contributing significant fluxes of silicon (Si) to the polar oceans, either as dissolved silicon (DSi) or dissolvable amorphous silica (ASi). Silicon is a key nutrient in promoting marine primary productivity, contributing to atmospheric CO2 removal. We present the current understanding of Si cycling in glacial systems, focusing on the Si isotope (\u03b430Si) composition of glacial meltwaters. We combine existing glacial \u03b430Si data with new measurements from twenty sub-Arctic glaciers, showing that glacial meltwaters consistently export isotopically light DSi compared to non-glacial rivers (+0.16\u2030 versus +1.38\u2030). Glacial \u03b430SiASi composition ranges from \u22120.05\u2030 to \u22120.86\u2030 but exhibits low seasonal variability. Silicon fluxes and \u03b430Si composition from glacial systems are not commonly included in global Si budgets and isotopic mass balance calculations at present. We discuss outstanding questions, including the formation mechanism of ASi and the export of glacial nutrients from fjords. Finally, we provide a contextual framework for the recent advances in our understanding of subglacial Si cycling and highlight critical research avenues for assessing potential future changes in these environments.", "keywords": ["13. Climate action", "14. Life underwater"], "contacts": [{"organization": "Hatton, Jade E., Hendry, Katharine R., Hawkings, Jonathan R., Wadham, Jemma L., Opfergelt, Sophie, Kohler, Tyler J., Yde, Jacob C., Stibal, Marek, \u017d\u00e1rsk\u00fd, Jakub D.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.9120041.v1"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.9120041.v1", "name": "item", "description": "10.6084/m9.figshare.9120041.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.9120041.v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.9120041", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:27Z", "type": "Report", "created": "2020-10-13", "title": "Supplementary Tables associated with \"Silicon Isotopes in Arctic and sub-Arctic Glacial Meltwaters: The Role of Subglacial Weathering in the Silicon Cycle\" from Silicon isotopes in Arctic and sub-Arctic glacial meltwaters: the role of subglacial weathering in the silicon cycle.", "description": "Glacial environments play an important role in high-latitude marine nutrient cycling, potentially contributing significant fluxes of silicon (Si) to the polar oceans, either as dissolved silicon (DSi) or as dissolvable amorphous silica (ASi). Silicon is a key nutrient in promoting marine primary productivity, contributing to atmospheric CO2 removal. We present the current understanding of Si cycling in glacial systems, focusing on the Si isotope (\u03b430Si) composition of glacial meltwaters. We combine existing glacial \u03b430Si data with new measurements from 20 sub-Arctic glaciers, showing that glacial meltwaters consistently export isotopically light DSi compared with non-glacial rivers (+0.16\u2030 versus +1.38\u2030). Glacial \u03b430SiASi composition ranges from \u22120.05\u2030 to \u22120.86\u2030 but exhibits low seasonal variability. Silicon fluxes and \u03b430Si composition from glacial systems are not commonly included in global Si budgets and isotopic mass balance calculations at present. We discuss outstanding questions, including the formation mechanism of ASi and the export of glacial nutrients from fjords. Finally, we provide a contextual framework for the recent advances in our understanding of subglacial Si cycling and highlight critical research avenues for assessing potential future changes in these environments.", "keywords": ["Geochemistry", "13. Climate action", "FOS: Earth and related environmental sciences", "14. Life underwater", "40602 Glaciology"], "contacts": [{"organization": "Hatton, Jade E., Hendry, Katharine R., Hawkings, Jonathan R., Wadham, Jemma L., Opfergelt, Sophie, Kohler, Tyler J., Yde, Jacob C., Stibal, Marek, \u017d\u00e1rsk\u00fd, Jakub D.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.9120041"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.9120041", "name": "item", "description": "10.6084/m9.figshare.9120041", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.9120041"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.9120041.v2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:27Z", "type": "Report", "created": "2020-10-13", "title": "Supplementary Tables associated with \"Silicon Isotopes in Arctic and sub-Arctic Glacial Meltwaters: The Role of Subglacial Weathering in the Silicon Cycle\" from Silicon isotopes in Arctic and sub-Arctic glacial meltwaters: the role of subglacial weathering in the silicon cycle.", "description": "Glacial environments play an important role in high-latitude marine nutrient cycling, potentially contributing significant fluxes of silicon (Si) to the polar oceans, either as dissolved silicon (DSi) or as dissolvable amorphous silica (ASi). Silicon is a key nutrient in promoting marine primary productivity, contributing to atmospheric CO2 removal. We present the current understanding of Si cycling in glacial systems, focusing on the Si isotope (\u03b430Si) composition of glacial meltwaters. We combine existing glacial \u03b430Si data with new measurements from 20 sub-Arctic glaciers, showing that glacial meltwaters consistently export isotopically light DSi compared with non-glacial rivers (+0.16\u2030 versus +1.38\u2030). Glacial \u03b430SiASi composition ranges from \u22120.05\u2030 to \u22120.86\u2030 but exhibits low seasonal variability. Silicon fluxes and \u03b430Si composition from glacial systems are not commonly included in global Si budgets and isotopic mass balance calculations at present. We discuss outstanding questions, including the formation mechanism of ASi and the export of glacial nutrients from fjords. Finally, we provide a contextual framework for the recent advances in our understanding of subglacial Si cycling and highlight critical research avenues for assessing potential future changes in these environments.", "keywords": ["Geochemistry", "13. Climate action", "FOS: Earth and related environmental sciences", "14. Life underwater", "40602 Glaciology"], "contacts": [{"organization": "Hatton, Jade E., Hendry, Katharine R., Hawkings, Jonathan R., Wadham, Jemma L., Opfergelt, Sophie, Kohler, Tyler J., Yde, Jacob C., Stibal, Marek, \u017d\u00e1rsk\u00fd, Jakub D.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.9120041.v2"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.9120041.v2", "name": "item", "description": "10.6084/m9.figshare.9120041.v2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.9120041.v2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10261/276556", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:48Z", "type": "Journal Article", "created": "2021-12-03", "title": "Assessing spatial soil moisture patterns at a small agricultural catchment", "description": "Open AccessPeer reviewed", "keywords": ["Vegetation mapping", "13. Climate action", "Solid modeling", "0207 environmental engineering", "Three-dimensional displays", "Soil moisture", "Soil properties", "02 engineering and technology", "15. Life on land", "Moisture", "6. Clean water", "Correlation"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/9628139/9628392/09628588.pdf?arnumber=9628588"}, {"href": "https://doi.org/10261/276556"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2021%20IEEE%20International%20Workshop%20on%20Metrology%20for%20Agriculture%20and%20Forestry%20%28MetroAgriFor%29", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/276556", "name": "item", "description": "10261/276556", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/276556"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-03T00:00:00Z"}}, {"id": "10261/276613", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:48Z", "type": "Journal Article", "created": "2022-05-23", "title": "Crop yield estimation and irrigation scheduling optimization using a root-weighted soil water availability based water production function", "description": "Project Co-ordinators: Dr. Jose Alfonso G\u00f3mez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU). -- Trabajo desarrollado bajo la financiaci\u00f3n del proyecto \u201cSoil Hydrology research platform underpinning innovation to manage water scarcity in European and Chinese cropping Systems\u201d (773903), coordinado por Jos\u00e9 Alfonso G\u00f3mez Calero, investigador del Instituto de Agricultura Sostenible (IAS). The crop-water production function (CWPF) is widely used to quantitatively describe relationships between crop water deficit and yield, and evaluate the effects of different irrigation strategies in agro-hydrological models. In order to reasonably and reliably estimate crop yield and optimize irrigation scheduling, a novel CWPF was proposed by combining the plant water deficit index (PWDI), estimated based on root-weighted soil water availability, with a daily water sensitivity index derived from a sigmoidal cumulative function. Parameterized using data from a two-year winter wheat field lysimetric experiment conducted in the North China Plain and from a previously published two-year spring maize field drip irrigation experiment in Inner Mongolia, China, the CWPFs provided reasonable estimation of different crop yields with different water stress response characteristics under different field environments. Through coupling the genetic algorithm with the integrated simulations of soil water dynamics, PWDI and CWPF in the soil-wheat system, an optimization procedure was developed to determine PWDI threshold combinations to timely trigger irrigation according to pre-designed crop water deficit status. Crop yield and water use efficiency (WUE) of winter wheat were estimated and compared under different optimized constant and variable PWDI threshold combinations. In addition, the effects of climate change on the optimized variable PWDI threshold combinations were investigated using 38 years of historic meteorological data. The results showed that regulated deficit irrigation (RDI) with a variable threshold combination, in which the sensitivity characteristics to water deficit were considered for the crop at different growth stages, was superior to a constant threshold in enhancing crop yield and WUE. Irrespective of the number of irrigation events (1, 2, 3 or 4) during the growing season, the coefficients of variation (CV) of optimized PWDI thresholds for different combinations of irrigation sequence and events were not very large under the same kind of hydrological year (wet, normal or dry), with CV < 0.39 and a median of 0.21. When the mean (MN) of the optimized PWDI threshold combinations for different irrigation sequence and events was used to schedule RDI of winter wheat in terms of various hydrological years, up to 91% of the estimated relative yield was found to be higher than 90% of the corresponding maximum values. Therefore, the MN can be valuable in formulating rational irrigation management strategies of winter wheat to achieve relatively high yields with limited water under changing climatic conditions. This research was supported partly by National Natural Science Foundation of China (U1706211, 51790532), National Key Research and Development Program of China (2017YFE0118100), and the European Union's Horizon 2020 research and innovation programme under Project SHui, grant agreement No 773903. Peer reviewed", "keywords": ["Winter wheat", "2. Zero hunger", "0106 biological sciences", "Root-weighted plant water deficit index", "13. Climate action", "Crop-water production function", "Cumulative function of water sensitivity index", "15. Life on land", "01 natural sciences", "Regulated deficit irrigation", "6. Clean water"]}, "links": [{"href": "https://doi.org/10261/276613"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Field%20Crops%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/276613", "name": "item", "description": "10261/276613", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/276613"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-01T00:00:00Z"}}, {"id": "10261/276620", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:48Z", "type": "Journal Article", "created": "2021-02-05", "title": "Numerically scheduling plant water deficit index-based smart irrigation to optimize crop yield and water use efficiency", "description": "Open AccessThis research was supported partly by National Key Research and Development Program of China (2016YFD0200303, 2017YFE0118100), National Natural Science Foundation of China (U1706211, 51790532), Special Fund for Scientific Research in the Public Interest (201411009), and the European Union\u2019s Horizon 2020 Research and Innovation Programme under Project SHui, grant agreement No 773903.", "keywords": ["0106 biological sciences", "2. Zero hunger", "Crop growth", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Soil water transport", "01 natural sciences", "Irrigation scheduling", "Decision support system", "Regulated deficit irrigation", "6. Clean water"]}, "links": [{"href": "https://doi.org/10261/276620"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/276620", "name": "item", "description": "10261/276620", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/276620"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-01T00:00:00Z"}}, {"id": "10261/277923", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:48Z", "type": "Journal Article", "created": "2022-07-18", "title": "Net irrigation requirement under different climate scenarios using AquaCrop over Europe", "description": "

Abstract. Global soil water availability is challenged by the effects of climate change and a growing population. On average, 70\u2009% of freshwater extraction is attributed to agriculture, and the demand is increasing. In this study, the effects of climate change on the evolution of the irrigation water requirement to sustain current crop productivity are assessed by using the Food and Agriculture Organization (FAO) crop growth model AquaCrop version 6.1. The model is run at 0.5\u2218lat\u00d70.5\u2218long resolution over the European mainland, assuming a general C3-type of crop, and forced by climate input data from the Inter-Sectoral Impact Model Intercomparison Project phase three (ISIMIP3). First, the AquaCrop surface soil moisture (SSM) forced with two types of ISIMIP3 historical meteorological datasets is evaluated with satellite-based SSM estimates in two ways. When driven by ISIMIP3a reanalysis meteorology, daily simulated SSM values have an unbiased root mean square difference of 0.08 and 0.06\u2009m3\u2009m\u22123, with SSM retrievals from the Soil Moisture Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) missions, respectively, for the years 2015\u20132016 (2016 is the end year of the reanalysis data). When forced with ISIMIP3b meteorology from five global climate models (GCMs) for the years 2015\u20132020, the historical simulated SSM climatology closely agrees with the satellite-based SSM climatologies. Second, the evaluated AquaCrop model is run to quantify the future irrigation requirement, for an ensemble of five GCMs and three different emission scenarios. The simulated net irrigation requirement (Inet) of the three summer months for a near and far future climate period (2031\u20132060 and 2071\u20132100) is compared to the baseline period of 1985\u20132014 to assess changes in the mean and interannual variability of the irrigation demand. Averaged over the continent and the model ensemble, the far future Inet is expected to increase by 22\u2009mm per month (+30\u2009%) under a high-emission scenario Shared Socioeconomic Pathway (SSP) 3\u20137.0. Central and southern Europe are the most impacted, with larger Inet increases. The interannual variability in Inet is likely to increase in northern and central Europe, whereas the variability is expected to decrease in southern regions. Under a high mitigation scenario (SSP1\u20132.6), the increase in Inet will stabilize at around 13\u2009mm per month towards the end of the century, and interannual variability will still increase but to a smaller extent. The results emphasize a large uncertainty in the Inet projected by various GCMs.

", "keywords": ["IMPACTS", "LAND", "Technology", "Environmental Engineering", "AGRICULTURE", "DEFICIT IRRIGATION", "SIMULATE YIELD RESPONSE", "0207 environmental engineering", "UNCERTAINTY", "02 engineering and technology", "CROP WATER PRODUCTIVITY", "Environmental technology. Sanitary engineering", "01 natural sciences", "0905 Civil Engineering", "G", "DATA ASSIMILATION", "Geography. Anthropology. Recreation", "GE1-350", "Geosciences", " Multidisciplinary", "TD1-1066", "0105 earth and related environmental sciences", "2. Zero hunger", "Science & Technology", "3707 Hydrology", "T", "Geology", "15. Life on land", "TRENDS", "6. Clean water", "MODEL", "Environmental sciences", "0907 Environmental Engineering", "13. Climate action", "Physical Sciences", "Water Resources", "4013 Geomatic engineering", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "https://biblio.vub.ac.be/vubirfiles/86261359/Busschaert_etal_2022_HESS.pdf"}, {"href": "https://hess.copernicus.org/articles/26/3731/2022/hess-26-3731-2022.pdf"}, {"href": "https://doi.org/10261/277923"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/277923", "name": "item", "description": "10261/277923", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/277923"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-12T00:00:00Z"}}, {"id": "10261/277928", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:48Z", "type": "Journal Article", "created": "2022-03-09", "title": "Spatiotemporal normalized ratio methodology to evaluate the impact of field-scale variable rate application", "description": "Open AccessPeer reviewed", "keywords": ["2. Zero hunger", "0106 biological sciences", "Variable rate application", "Precision irrigation management", "Normalized relative comparison index", "Performance measures", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "Stem water potential", "Variability", "01 natural sciences"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1007/s11119-022-09877-4.pdf"}, {"href": "https://doi.org/10261/277928"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Precision%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/277928", "name": "item", "description": "10261/277928", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/277928"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-09T00:00:00Z"}}, {"id": "10044/1/59029", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:38Z", "type": "Journal Article", "created": "2018-03-31", "title": "Quantifying soil moisture impacts on light use efficiency across biomes", "description": "Summary

Terrestrial primary productivity and carbon cycle impacts of droughts are commonly quantified using vapour pressure deficit (VPD) data and remotely sensed greenness, without accounting for soil moisture. However, soil moisture limitation is known to strongly affect plant physiology.

Here, we investigate light use efficiency, the ratio of gross primary productivity (GPP) to absorbed light. We derive its fractional reduction due to soil moisture (fLUE), separated from VPD and greenness changes, using artificial neural networks trained on eddy covariance data, multiple soil moisture datasets and remotely sensed greenness.

This reveals substantial impacts of soil moisture alone that reduce GPP by up to 40% at sites located in sub\uffe2\uff80\uff90humid, semi\uffe2\uff80\uff90arid or arid regions. For sites in relatively moist climates, we find, paradoxically, a muted fLUE response to drying soil, but reduced fLUE under wet conditions.

fLUE identifies substantial drought impacts that are not captured when relying solely on VPD and greenness changes and, when seasonally recurring, are missed by traditional, anomaly\uffe2\uff80\uff90based drought indices. Counter to common assumptions, fLUE reductions are largest in drought\uffe2\uff80\uff90deciduous vegetation, including grasslands. Our results highlight the necessity to account for soil moisture limitation in terrestrial primary productivity data products, especially for drought\uffe2\uff80\uff90related assessments.

The northwest corner of each geotif is noted in the file name, e.g., 50N_030E has its northwest corner at (50 deg N, 30 deg E) and has its southeast corner at (40 deg N, 40 deg E). Use the shapefile in GFW_Hansen_tile_footprints.zip to determine which 10x10 degree geotifs cover your area(s) of interest.

Description (adapted from GFW Open Data Portal, https://data.globalforestwatch.org/datasets/gfw::forest-greenhouse-gas-emissions/about):

This emissions layer is part of the forest carbon flux model described in\u202fHarris et al. (2021). This paper introduces a geospatial monitoring framework for estimating global forest carbon fluxes which can assist a variety of actors and organizations with tracking greenhouse gas fluxes from forests and in decreasing emissions or increasing removals by forests. Forest carbon emissions represent the greenhouse gas emissions arising from stand-replacing forest disturbances that occurred in each modeled year (megagrams CO2 emissions/ha, between 2001 and 2023). Emissions include all relevant ecosystem carbon pools (aboveground biomass, belowground biomass, dead wood, litter, soil organic carbon) and greenhouse gases (CO2, CH4, N2O). Emissions estimates for each pixel are calculated following IPCC Guidelines for\u202fnational greenhouse gas inventories\u202fwhere stand-replacing disturbance occurred, as mapped in the Global Forest Change annual tree cover loss data of\u202fHansen et al. (2013). The carbon emitted from each pixel is based on carbon densities in 2000, with adjustment for carbon accumulated between 2000 and the year of disturbance.

Emissions reflect a gross estimate, i.e., carbon removals from subsequent regrowth are not included. Instead, gross carbon removals resulting from subsequent regrowth after clearing are accounted for\u202fin the companion forest carbon removals layer. The fraction of carbon emitted from each pixel upon disturbance (emission factor) is affected by several factors, including the direct driver of disturbance, whether fire was observed in the year of or preceding the observed disturbance event,\u202fwhether the disturbance occurred on peat, and more. All emissions are assumed to occur in the year of disturbance. Emissions can be assigned to a specific year using the Hansen tree cover loss data; separate rasters for emissions for each year are not available from GFW. All input layers were resampled to a common resolution of 0.00025 x 0.00025 degrees each to match Hansen et al. (2013). Emissions are available for download in megagrams of CO2e/ha from 2001 onwards. It is appropriate for visualizing (mapping) emissions because it represents the density of emissions per hectare from 2001 onwards.

Each year, the tree cover loss, drivers of tree cover loss, and burned area are updated. In 2023 and 2024, a few model input data sets and constants were changed as well, as described below. Please refer to https://www.globalforestwatch.org/blog/data/whats-new-carbon-flux-monitoring/ for more information.

1. The source of the ratio between belowground carbon and aboveground carbon. Previously used one global constant; now uses map from Huang et al. 2021.

2. The years of tree cover gain. Previously used 2000-2012; now uses 2000-2020 from Potapov et al. 2022.

3. The source of fire data. Previously used MODIS burned area; now uses tree cover loss from fires from Tyukavina et al. 2022.

4. The source of peat maps. New tropical data sets have been included and the data set above 40 degrees north has been changed.

5. Global warming potential (GWP) constants for CH4 and N2O. Previously used GWPs from IPCC Fifth Assessment Report; now uses GWPs from IPCC Sixth Assessment Report.

6. Removal factors for older (>20 years) secondary temperate forests and their associated uncertainties. Previously used removal factors published in Table 4.9 of the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories; now uses corrected removal factors and uncertainties from the 4th Corrigenda to the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories.

7. Planted tree extent and removal factors. Previously used Spatial Database of Planted Trees (SDPT) Version 1.0; now uses SDPT Version 2.0 and associated removal factors.

Cautions:

1. Data are the product of modeling and thus have an inherent degree of error and uncertainty. Users are strongly encouraged to read and fully comprehend the metadata and other available documentation prior to data use.\u202f

2. Values are applicable to forest areas only (canopy cover >30 percent and >5 m height or areas with tree cover gain). See\u202fHarris et al. (2021)\u202ffor further information on the forest definition used in the analysis.

3. Although emissions in each pixel are associated with a specific year of disturbance, emissions over an area of interest reflect the total over the model period of 2001-2023. Thus, values must be divided by 23 to calculate average annual removals.

4. Emissions reflect stand-replacing disturbances as observed in Landsat satellite imagery and do not include emissions from unobserved forest degradation.

5. Emissions reflect a gross estimate, i.e., carbon removals from any regrowth that occurs after disturbance are not included. Instead, gross carbon removals are accounted for in the companion forest carbon removals layer.

6. Emissions data contain temporal inconsistencies. Improvements in the detection of tree cover loss due to the incorporation of new satellite data and methodology changes between 2011 and 2015 may result in higher estimates of emissions in recent years compared to earlier years. Refer to https://www.globalforestwatch.org/blog/data-and-research/tree-cover-loss-satellite-data-trend-analysis/ for additional information.

7. Forest carbon emissions do not reflect carbon transfers from ecosystem carbon pools to the harvested wood products (HWP) pool.

8. This dataset has been updated since its original publication. See Overview for more information.", "keywords": ["Greenhouse gases", "Carbon dioxide", "Emissions", "Earth and Environmental Sciences", "Source", "Forests", "Deforestation"], "contacts": [{"organization": "Gibbs, David, Rose, Melissa, Harris, Nancy,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/LNPSGP"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/LNPSGP", "name": "item", "description": "10.7910/DVN/LNPSGP", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/LNPSGP"}, {"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": "10.7925/drs1.duchas_4935146", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:37Z", "type": "Dataset", "title": "Our Holy Wells", "description": "Open AccessStory collected by Edward Glennon, a student at Ballyuskill (B.), Ballyragget school (Ballyoskill, Co. Kilkenny) from informant John Glennon.", "keywords": ["Manners and customs", "\u00d3c\u00e1id\u00ed (de r\u00e9ir tr\u00e1tha bliana)", "Events (by time of year)"], "contacts": [{"organization": "C\u00e1rthaigh, F. Mac, Glennon, Edward, Glennon, John,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7925/drs1.duchas_4935146"}, {"rel": "self", "type": "application/geo+json", "title": "10.7925/drs1.duchas_4935146", "name": "item", "description": "10.7925/drs1.duchas_4935146", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7925/drs1.duchas_4935146"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10.7934/p3243", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:37Z", "type": "Journal Article", "created": "2017-06-14", "title": "Hidden biodiversity: total evidence phylogenetics and evolution of morphological traits in a highly diverse lineage of endogean ground beetles,TyphlocharisDieck, 1869 (Carabidae, Trechinae, Anillini)", "description": "Abstract

Typhlocharisis the most diverse eyeless endogean ground beetle genus known to date, with 62 species all endemic to the West Mediterranean region. The lineage is characterized by a conservative and singular body plan within Carabidae that contrasts with a high morphological diversity in many traits. We provide an exhaustive phylogeny of the lineage through the study of 92 morphological characters from all 62 described species and 45 potential new species from 70 additional populations, and the combination of morphological and available molecular data, in the first total evidence phylogenetic approach for a highly diverse endogean lineage. We tracked the evolution of morphological traits over the obtained phylogenies. Results suggest eight morphologically distinct clades, which do not correspond to the species groups proposed formerly. Ancestral state reconstructions and phylogenetic signal analyses of morphological traits revealed that some of the previously key characters to the classification ofTyphlocharis, such as the umbilicate series or the apical denticles of elytra, are highly homoplasic, whereas other characters show stronger phylogenetic signal, including structures in the antennae, gula, pronotum and last abdominal ventrite. This evidence supports the split ofTyphlocharisinto three genera:Lusotyphlusgen. nov.;TyphlocharisDieck, 1869 andMicrocharidiusCoiffait, 1969 (revalidated), forming the subtribe Typhlocharina Jeanne, 1973.

Soil health business models can lead to the maintenance of sustainable and competitive agriculture. The agricultural policy in the EU pursues different incentives to encourage adoption of environmentally oriented practices. Investments in soil health can lead to significant benefits not only for the environment but for society as well. The aim of this paper is to present the methodological approach for assessing new incentives for soil health business models in the frame of the NOVASOIL project. The goal is to investigate the opportunities and gaps of new incentives for redirection of financial streams and policy support measures for provision of innovative soil health technologies. The methodology includes two phases. The first one comprises of targeting new incentives for soil health and then identifying the corresponding gaps and opportunities. The second one continues the analysis with assessing the selected incentives with the BOCR-ANP model.

", "keywords": ["BOCR-ANP model", "2. Zero hunger", "soil health", "13. Climate action", "11. Sustainability", "business models", "12. Responsible consumption"], "contacts": [{"organization": "Nikolov, Dimitre, Boevsky, Ivan, Banov, Martin, Tzvetanova, Ekatherina, Kostenarov, Krasimir, Todorova, Kristina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.61308/eygf4681"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bulgarian%20Journal%20of%20Agricultural%20Economics%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.61308/eygf4681", "name": "item", "description": "10.61308/eygf4681", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.61308/eygf4681"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-28T00:00:00Z"}}, {"id": "10.7160/aol.2021.130404", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:32Z", "type": "Journal Article", "created": "2021-12-16", "title": "INSPIRE Hackathons and SmartAfriHub \u2013 Roadmap for Addressing the Agriculture Data Challenges in Africa", "description": "

Digital farming holds enormous potential for agricultural development, and giving farmers the tools to boost productivity and profitability. Although the benefits of digitalization are numerous, farmers feel they are not the ones benefiting from the value of data collected on their farms. Several issues were identified as factors restricting farmers from benefiting from data-driven agriculture. From the farmers\u2019 perspective, there is a distinct lack of awareness of the issues surrounding farm data, and the complexity of these issues. This feeds into the imbalance that exists between individual farmers and larger agribusinesses wherein the former lack enough resources to address and analyse the significance of data, and so cannot take advantage of the value in it. There is also limited legislation for the generation, flow, exchange and use of data; where legislation does exist, it is not well understood by farmer organisations. From a policy perspective, moreover, there is very little guidance as to which agricultural data can be considered personal data, and therefore protected by privacy laws. This paper analyses the interactions and effects of the 5 Concepts: Open Agricultural Data, Open-Source Software, Citizen Science, privacy and legal and ethical issues that are assumed to advance the digitalization of African Food System (AFS and the enabling Digital Innovation Hub (DIH) - SmartAfriHub (https://www.smartafrihub.com/home).

", "keywords": ["2. Zero hunger", "Research and Development/Tech Change/Emerging Technologies", "Citizen Science", "Agricultural and Food Policy", "Open Data", "Africa Smart Agriculture", "1. No poverty", "15. Life on land", "Open-Source Software"]}, "links": [{"href": "https://doi.org/10.7160/aol.2021.130404"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agris%20on-line%20Papers%20in%20Economics%20and%20Informatics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7160/aol.2021.130404", "name": "item", "description": "10.7160/aol.2021.130404", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7160/aol.2021.130404"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-30T00:00:00Z"}}, {"id": "10.7185/gold2021.7214", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:32Z", "type": "Journal Article", "created": "2021-11-08", "title": "Radium inputs into the Arctic Ocean from rivers: a basin-wide estimate", "description": "Abstract

Radium isotopes have been used to trace nutrient, carbon, and trace metal fluxes inputs from ocean margins. However, these approaches require a full accounting of radium sources to the coastal ocean including rivers. Here, we aim to quantify river radium inputs into the Arctic Ocean for the first time for 226Ra and to refine the estimates for 228Ra. Using new and existing data, we find that the estimated combined (dissolved plus desorbed) annual 226Ra and 228Ra fluxes to the Arctic Ocean are [7.0\uffe2\uff80\uff939.4] \uffc3\uff97 1014 dpm y\uffe2\uff88\uff921 and [15\uffe2\uff80\uff9318] \uffc3\uff97 1014 dpm y\uffe2\uff88\uff921, respectively. Of these totals, 44% and 60% of the river 226Ra and 228Ra, respectively are from suspended sediment desorption, which were estimated from laboratory incubation experiments. Using Ra isotope data from 20 major rivers around the world, we derived global annual 226Ra and 228Ra fluxes of [7.4\uffe2\uff80\uff9317] \uffc3\uff97 1015 and [15\uffe2\uff80\uff9327] \uffc3\uff97 1015 dpm y\uffe2\uff88\uff921, respectively. As climate change spurs rapid Arctic warming, hydrological cycles are intensifying and coastal ice cover and permafrost are diminishing. These river radium inputs to the Arctic Ocean will serve as a valuable baseline as we attempt to understand the changes that warming temperatures are having on fluxes of biogeochemically important elements to the Arctic coastal zone.

New knowledge on soil structure highlights its importance for hydrology and soil organic matter (SOM) stabilization, which however remains neglected in many wide used models. We present here a new model, KEYLINK, in which soil structure is integrated with the existing concepts on SOM pools, and elements from food web models, that is, those from direct trophic interactions among soil organisms. KEYLINK is, therefore, an attempt to integrate soil functional diversity and food webs in predictions of soil carbon (C) and soil water balances. We present a selection of equations that can be used for most models as well as basic parameter intervals, for example, key pools, functional groups\u2019 biomasses and growth rates. Parameter distributions can be determined with Bayesian calibration, and here an example is presented for food web growth rate parameters for a pine forest in Belgium. We show how these added equations can improve the functioning of the model in describing known phenomena. For this, five test cases are given as simulation examples: changing the input litter quality (recalcitrance and carbon to nitrogen ratio), excluding predators, increasing pH and changing initial soil porosity. These results overall show how KEYLINK is able to simulate the known effects of these parameters and can simulate the linked effects of biopore formation, hydrology and aggregation on soil functioning. Furthermore, the results show an important trophic cascade effect of predation on the complete C cycle with repercussions on the soil structure as ecosystem engineers are predated, and on SOM turnover when predation on fungivore and bacterivore populations are reduced. In summary, KEYLINK shows how soil functional diversity and trophic organization and their role in C and water cycling in soils should be considered in order to improve our predictions on C sequestration and C emissions from soils.

", "keywords": ["Soil matrix", "2. Zero hunger", "Soil organic matter", "Root Water Uptake", "Trophic cascades", "Ecosystem models", "Computational Biology", "04 agricultural and veterinary sciences", "15. Life on land", "12. Responsible consumption", "Soil food web", "13. Climate action", "Growth rates", "Soil structure", "0401 agriculture", " forestry", " and fisheries", "Ecosystem engineering", "Predator exclusion", "Hydrology", "Engineering sciences. Technology", "info:eu-repo/classification/ddc/610"]}, "links": [{"href": "https://peerj.com/articles/10707.pdf"}, {"href": "https://doi.org/10.7717/peerj.10707"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PeerJ", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7717/peerj.10707", "name": "item", "description": "10.7717/peerj.10707", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7717/peerj.10707"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-15T00:00:00Z"}}, {"id": "10.7717/peerj.10375", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:33Z", "type": "Journal Article", "created": "2020-12-01", "title": "Effects of plastic mulching on the accumulation and distribution of macro and micro plastics in soils of two farming systems in Northwest China", "description": "Background

Inappropriate disposal of the plastic mulching debris could create macroplastics (MaPs) and microplastics (MiPs) pollution in agricultural soil.

Methods

To study the effects of farming systems on accumulation and distribution of agricultural plastic debris, research was carried out on two farming systems in Northwest China. Farming in Wutong Village (S1) is characterized by small plots and low-intensity machine tillage while farming in Shihezi (S2) is characterized by large plots and high-intensity machine tillage. In September 2017, we selected six fields in S1, three fields with 6\uffe2\uff80\uff938 years of continuous plastic mulching (CM) as well as three fields with over 30 years of intermittent mulching (IM). In S2, we selected five cotton fields with 6, 7, 8, 15 and 18 years of continuous mulching. In both regions, MaPs and MiPs from soil surface to 30 cm depth (0\uffe2\uff80\uff9330 cm) were sampled.

Results

The results showed that in S1, MaPs mass in fields with 6\uffe2\uff80\uff938 years CM (i.e., 97.4kg\uffc2\uffb7ha\uffe2\uff88\uff921) were significantly higher than in fields with 30 years IM (i.e., 53.7 kg\uffc2\uffb7ha\uffe2\uff88\uff921). MaPs in size category of 10\uffe2\uff80\uff9350 cm2 accounted for 46.9% in fields of CM and 44.5% in fields of IM of total collected MaPs number. In S2, MaPs mass ranged from 43.5 kg\uffc2\uffb7ha\uffe2\uff88\uff921 to 148 kg\uffc2\uffb7ha\uffe2\uff88\uff921. MaPs in size category of 2\uffe2\uff80\uff9310 cm2 account for 41.1% of total collected MaPs number while 0.25\uffe2\uff80\uff932 cm2 accounted for 40.6%. MiPs in S1 were mainly detected in fields with over 30 years of intermittent mulching (up to 2,200 particles\uffc2\uffb7kg\uffe2\uff88\uff921 soil), whereas in S2 were detected in all fields (up to 900 particles\uffc2\uffb7kg\uffe2\uff88\uff921 soil). The results indicated farming systems could substantially affect the accumulation and distribution of agricultural plastic debris. Continuous plastic mulching could accumulate higher amount of MaPs than intermittent plastic mulching. High-intensity machine tillage could lead to higher fragmentation of MaPs and more severe MiPs pollution. These results suggest that agricultural plastic regulations are needed.The highly allergenic and invasive weedAmbrosia artemisiifoliaL. is a monoecius plant with separated male and female flowers. The genetic regulation of floral morphogenesis is a less understood field in the reproduction biology of this species. Therefore the objective of this work was to investigate the genetic control of sex determination during floral organogenesis. To this end, we performed a genome-wide transcriptional profiling of vegetative and generative tissues during the plant development comparing wild-growing and in vitro cultivated plants. RNA-seq on Illumina NextSeq 500 platform with an integrative bioinformatics analysis indicated differences in 80 floral gene expressions depending on photoperiodic and endogenous initial signals. Sex specificity of genes was validated based on RT-qPCR experiments. We found 11 and 16 uniquely expressed genes in female and male transcriptomes that were responsible particularly to maintain fertility and against abiotic stress. High gene expression of homologous such as FD, FT, TFL1 and CAL, SOC1, AP1 were characteristic to male and female floral meristems during organogenesis. Homologues transcripts of LFY and FLC were not found in the investigated generative and vegetative tissues. The repression of AP1 by TFL1 homolog was demonstrated in male flowers resulting exclusive expression of AP2 and PI that controlled stamen and carpel formation in the generative phase. Alterations of male and female floral meristem differentiation were demonstrated under photoperiodic and hormonal condition changes by applying in vitro treatments.

The relatively poor simulation of the below-ground processes is a severe drawback for many ecosystem models, especially when predicting responses to climate change and management. For a meaningful estimation of ecosystem production and the cycling of water, energy, nutrients and carbon, the integration of soil processes and the exchanges at the surface is crucial. It is increasingly recognized that soil biota play an important role in soil organic carbon and nutrient cycling, shaping soil structure and hydrological properties through their activity, and in water and nutrient uptake by plants through mycorrhizal processes. In this article, we review the main soil biological actors (microbiota, fauna and roots) and their effects on soil functioning. We review to what extent they have been included in soil models and propose which of them could be included in ecosystem models. We show that the model representation of the soil food web, the impact of soil ecosystem engineers on soil structure and the related effects on hydrology and soil organic matter (SOM) stabilization are key issues in improving ecosystem-scale soil representation in models. Finally, we describe a new core model concept (KEYLINK) that integrates insights from SOM models, structural models and food web models to simulate the living soil at an ecosystem scale.

", "keywords": ["[SDE] Environmental Sciences", "550", "Root system", "talna biota", "hydrology", "2511.06 Conservaci\u00f3n de Suelos", "Soil Organic Matter", "11. Sustainability", "Soil biota", "Biology (General)", "PSD", "info:eu-repo/classification/ddc/610", "2. Zero hunger", "Ecology", "General Neuroscience", "R", "velikosti por", "General Medicine", "04 agricultural and veterinary sciences", "2511 Ciencias del Suelo (Edafolog\u00eda)", "Root water uptake", "Pore size distribution (PSD)", "[SDE]Environmental Sciences", "8. Economic growth", "Medicine", "pedofavna", "General Agricultural and Biological Sciences", "soil fauna", "Engineering sciences. Technology", "570", "QH301-705.5", "distribucija", "Soil Science", "Genetics and Molecular Biology", "soil biota", "Soil fauna", "pore size distribution", "hidrologija", "info:eu-repo/classification/udc/630*1", "Ecosystem", "ecosystem", "ekosistem", "model", "Soil organic matter (SOM)", "15. Life on land", "SOM", "13. Climate action", "General Biochemistry", "0401 agriculture", " forestry", " and fisheries", "2508 Hidrolog\u00eda", "Hydrology", "Model"]}, "links": [{"href": "http://pure.iiasa.ac.at/id/eprint/16685/1/peerj-9750.pdf"}, {"href": "https://peerj.com/articles/9750.pdf"}, {"href": "https://pure.iiasa.ac.at/id/eprint/16685/1/peerj-9750.pdf"}, {"href": "https://pub.epsilon.slu.se/17599/1/deckmyn_g_et_al_200925.pdf"}, {"href": "https://doi.org/10.7717/peerj.9750"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PeerJ", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7717/peerj.9750", "name": "item", "description": "10.7717/peerj.9750", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7717/peerj.9750"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-09T00:00:00Z"}}, {"id": "10.7717/peerj.9876", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:33Z", "type": "Journal Article", "created": "2020-09-21", "title": "A laboratory comparison of the interactions between three plastic mulch types and 38 active substances found in pesticides", "description": "Background

In semi-arid regions, the use of plastic mulch and pesticides in conventional agriculture is nearly ubiquitous. Although the sorption of pesticides on Low Density Polyethylene (LDPE) has been previously studied, no data are available for other plastics such as Pro-oxidant Additive Containing (PAC) plastics or \uffe2\uff80\uff9cbiodegradable\uffe2\uff80\uff9d (Bio) plastics. The aim of this research was to measure the sorption pattern of active substances from pesticides on LDPE, PAC and Bio plastic mulches and to compare the decay of the active substances in the presence and absence of plastic debris.

Methods

For this purpose, 38 active substances from 17 insecticides, 15 fungicides and six herbicides commonly applied with plastic mulching in South-east Spain were incubated with a 3 \uffc3\uff97 3 cm2 piece of plastic mulch (LDPE, PAC and Bio). The incubation was done in a solution of 10% acetonitrile and 90% distilled water at 35 \uffc2\uffb0C for 15 days in the dark. The Quick Easy Cheap Effective Rugged Safe approach was adapted to extract the pesticides.

Results

The sorption behavior depended on both the pesticide and the plastic mulch type. On average, the sorption percentage was ~23% on LDPE and PAC and ~50% on Bio. The decay of active substances in the presence of plastic was ~30% lesser than the decay of active substances in solution alone. This study is the first attempt at assessing the behavior of a diversity of plastic mulches and pesticides to further define research needs.The HC27 soil profile database consists of generic soil profiles developed by John Dimes and Jawoo Koo. The 27 soil profiles were generated based on three criteria that crop models are most responsive to: texture, rooting depth (proxy of water availability), and organic carbon content (proxy of fertility). Three levels for each category were classified using the boundary conditions based on the meta-analysis of WISE 1.1 soil profiles measured at crop land areas in Sub-Saharan Africa.

< p>There are multiple ways to utilize these generic soil profiles in crop modeling applications, especially when soil measurement data is not available for the study site. For example, (1) users can choose the one that best matches the soil typically found in the study area by following the decision tree of three multiple-choice questions and use it as a starting point, or (2) users can run models with all 27 soil profiles for a given study site to create a possible range of simulation results, which can be narrowed down later as more site-specific information becomes available.

These generic soil profiles does not replace existing soil mapping efforts nor site-specific soil measurements. Instead this approach addresses the need for a set of reasonably representative and prototypical soil profiles in certain types of crop modeling applications (e.g., global-scale modeling studies). Due to the nature of being 'generic,' there will be applications for which the use of HC27 is not desirable, especially where detailed soil property dynamics beyond the three criter ia are emphasized.

", "keywords": ["Earth and Environmental Sciences", "Generic Soil Profile; Prototypical Soil Profile; Crop Modeling; DSSAT; Texture; Rooting Depth; Organic Carbon Content", "Soil Profile"], "contacts": [{"organization": "Koo, Jawoo, Dimes, John,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/90WJ9W"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/90WJ9W", "name": "item", "description": "10.7910/DVN/90WJ9W", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/90WJ9W"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/FA3ZJS", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:34Z", "type": "Dataset", "created": "2016-11-30", "title": "Pilot Project Land Degradation Neutrality (LDN), Namibia: Establishment of a baseline for land degradation in the region of Otjozondjupa", "description": "Soil and vegetation data collected to develop LDN baselines in Otjozondjupa region of Namibia. The baselines include: land cover change, land productivity, soil organic carbon, and bush encroachment.", "keywords": ["SDG 15.3", "Land cover", "sustainable development", "UNCCD", "Land degradation neutrality", "Agricultural Sciences", "land degradation", "carbon", "Soil Carbon", "Namibia", "Carbon", "soil", "Soil", "land cover", "Earth and Environmental Sciences", "Sustainable development", "Africa", "Soils", "Land degradation", "degradaci\u00f3n de tierras", "desarrollo sostenible", "Otjozondjupa"], "contacts": [{"organization": "Nijbroek, Ravic, Mutua, John, S\u00f6derstr\u00f6m, Mats, Piikki, Kristin, Kempen, Bas, Hengari, Simeon,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/FA3ZJS"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/FA3ZJS", "name": "item", "description": "10.7910/DVN/FA3ZJS", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/FA3ZJS"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/GXUNAZ", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:34Z", "type": "Dataset", "title": "Non-responsiveness of crops to fertilizers under some soils in sub-Saharan Africa", "description": "Open AccessLow productivity of agriculture observed in different parts of sub-Saharan Africa is threatening food security in the region. Decades of production with mostly application of small amounts of inorganic fertilizers (mostly macronutrients) and scarce organic resources in the context of integrated soil fertility management (ISFM) result in nutrient mining of secondary and micronutrients in majority of smallholder farms. With the last decade, crop non-responsiveness to nutrient application has become an important issue requiring scientific understanding. We provide data focused on identifying the extent of non-responsiveness of crops to nutrient application and the associated factors. Data contains crop yield response to secondary and micronutrient (SMN), manure and lime application relative to yields of only NP/K application.", "keywords": ["Nutrient response", "carbono organico del suelo", "Agricultural Sciences", "Soil organic carbon", "CGIAR Research Program on Water", " Land and Ecosystems", "Inorganic fertilisers", "abonos inorganicos", "Multifunctional Landscapes", "micronutrients fertilizers", "Soil fertility", "Micronutrient fertilizers", "soil organic carbon", "Manure", "Earth and Environmental Sciences", "Africa", "inorganic fertilizers", "fertilizantes de oligoelementos"], "contacts": [{"organization": "Kihara, Job Maguta, Okeyo, Jeremiah, Bolo, Peter Omondi, Kinyua, Michael,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/GXUNAZ"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/GXUNAZ", "name": "item", "description": "10.7910/DVN/GXUNAZ", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/GXUNAZ"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/HE6CEM", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:35Z", "type": "Dataset", "title": "An integrated approach for understanding the factors that facilitate or constrain the adoption of soil carbon enhancing practices in East Africa, specifically Western Kenya", "description": "The survey data on soil carbon enhancing practices in western Kenya is systematically organized in Microsoft Excel tables. The data entails general household characteristics, plot characteristics, practices implemented, yield, inputs, livestock ownership, social capital, access to credit, access to extension services and sources of income.", "keywords": ["Land Management", "Agricultural Sciences", "Soil carbon enhancing practices", "land management", "Low soil fertility", "Kenya", "soil", "Soil", "Earth and Environmental Sciences", "Natural Resources", "Africa", "agricultural economics", "Decision and Policy Analysis - DAPA", "Western Kenya", "natural resources", "Agricultural Economics"], "contacts": [{"organization": "Ng\u2019ang\u2019a, Stanley Karanja, George Magambo, Kanyenji, Jalang'o, Dorcas Anyango, Nguru, Wilson Maina, Girvetz, Evan,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/HE6CEM"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/HE6CEM", "name": "item", "description": "10.7910/DVN/HE6CEM", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/HE6CEM"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/HMRZID", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:35Z", "type": "Dataset", "created": "2014-01-01", "title": "Explaining rice yields and yield gaps in Central Luzon, Philippines: An application of stochastic frontier analysis and crop modelling", "description": "Open AccessThe objective of the study was to decompose the rice yield gap into an efficiency, resource and technology yield gaps and to explain those using information related to crop management, farmers' objectives and constraints and production technology employed. Soil samples were collected to assess the influence of key soil properties on the efficiency yield gap.", "keywords": ["soil pH", "Agricultural Sciences", "Olsen-P", "organic carbon", "Social Sciences", "exchangeable potassium", "soi density (bulk density)"], "contacts": [{"organization": "Silva, Joao Vasco", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/HMRZID"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/HMRZID", "name": "item", "description": "10.7910/DVN/HMRZID", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/HMRZID"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/HXAH87", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:35Z", "type": "Dataset", "title": "Arbuscular and ectomycorrhizal fungi diversity in the Indian subcontinent", "description": "Mycorrhizal fungi (MF) are below-ground organisms playing a key role in terrestrial ecosystems as they regulate nutrient and carbon cycles, and influence soil structure and ecosystem multifunctionality. Arbuscular and ectomycorrhizal fungi are the two mycorrhizal types most relevant to worldwide ecosystems, but areas like the Indian sub-continent remain under-represented in global maps. The dataset presented here reports the available information regarding arbuscular and ectomycorrhizal fungi diversity in cultivated and natural ecosystems of the Indian subcontinent. We have selected studies published in English in ISI Web of Science during the years 2005 - 2020 that provided a taxonomic classification of MF and their associated abundance in terms of percentage of root colonization or number of spores per quantity of soil. From the screening of 74 studies, we have recorded: i. the scientific or common name of the plant or the generic habitat sampled for MF identification; ii the MF genus and species; iii. the location of the study with associated altitude and geographic coordinates; iv. main soil physico-chemical properties (soil pH, texture, organic Carbon, Total Nitrogen, available Phosphorus); climatic variables such as mean annual precipitation and temperature.<br><br>", "keywords": ["ecosystem management", "Asia", "Agricultural Sciences", "CGIAR Research Program on Water", " Land and Ecosystems", "Multifunctional Landscapes", "gesti\u00f3n de ecosistemas", "soil biology", "MYCORRHIZAE", "CGIAR Research Program", "Earth and Environmental Sciences", "SOIL BIOLOGY", "BIODIVERSITY", "mycorrhizae", "biolog\u00eda del suelo"], "contacts": [{"organization": "Beggi, Francesca, Dasgupta, Debarshi,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/HXAH87"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/HXAH87", "name": "item", "description": "10.7910/DVN/HXAH87", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/HXAH87"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/HYFICT", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:35Z", "type": "Dataset", "title": "Replication Data for: Global Sequestration Potential of Increased Organic Carbon in Cropland Soils", "description": "These datasets were developed as part of an analysis of the carbon sequestration potential of increasing soil organic carbon on croplands in the top 30cm of soil. The analysis estimates the carbon sequestration in tons per hectare after 20 years under improved management, with both a \u201cmedium\u201d and a \u201chigh\u201d scenario on the model presented in Sommer and Bossio (2014). This analysis is described in the paper cited below: Zomer, R.J., Bossio, D.A., Sommer, R., Verchot, L.V., 2017. Global Sequestration Potential of Increased Organic Carbon in Cropland Soils. Scientific Reports 7: http://dx.doi.org/10.1038/s41598-017-15794-8 The methodology is described in detail in the Supplementary Materials", "keywords": ["agroecology", "Carbon sequestration", "Agricultural Sciences", "Earth and Environmental Sciences", "Africa", "Soils", "ecological modelling", "ecosystem services", "climate change mitigation"]}, "links": [{"href": "https://doi.org/10.7910/DVN/HYFICT"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/HYFICT", "name": "item", "description": "10.7910/DVN/HYFICT", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/HYFICT"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/KXD3QH", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:35Z", "type": "Dataset", "created": "2015-01-01", "title": "Raw data: Grain Zn concentrations and yields of Zn-biofortified and Zn-efficient rice genotypes under contrasting growth conditions", "description": "Open Accessapplication/vnd.ms-excel, null", "keywords": ["biofortification", "Agricultural Sciences", "zinc deficiency", "Oryza sativa"], "contacts": [{"organization": "Goloran, Johnvie", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/KXD3QH"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/KXD3QH", "name": "item", "description": "10.7910/DVN/KXD3QH", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/KXD3QH"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-24T00:00:00Z"}}, {"id": "31769934-038c-4873-ab14-4b6b66531103", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-157.9, -38.8], [-157.9, 29.1], [175.9, 29.1], [175.9, -38.8], [-157.9, -38.8]]]}, "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": "Australia"}, {"id": "Bangladesh"}, {"id": "Belize"}, {"id": "Benin"}, {"id": "Brazil"}, {"id": "Cameroon"}, {"id": "China"}, {"id": "Colombia"}, {"id": "Costa Rica"}, {"id": "Dominican Republic"}, {"id": "Ecuador"}, {"id": "Egypt"}, {"id": "El Salvador"}, {"id": "French Guiana"}, {"id": "Guadeloupe"}, {"id": "Honduras"}, {"id": "Hong Kong"}, {"id": "India"}, {"id": "Indonesia"}, {"id": "Madagascar"}, {"id": "Malaysia"}, {"id": "Mexico"}, {"id": "Micronesia"}, {"id": "Mozambique"}, {"id": "New Zealand"}, {"id": "Nigeria"}, {"id": "Palau"}, {"id": "Panama"}, {"id": "Philippines"}, {"id": "Saudi Arabia"}, {"id": "Singapore"}, {"id": "South Africa"}, {"id": "Sri Lanka"}, {"id": "Taiwan"}, {"id": "Thailand"}, {"id": "United States"}, {"id": "Vietnam"}], "scheme": "Region"}], "updated": "2024-11-27T10:08:58", "type": "Dataset", "language": "eng", "title": "Global mangrove soil carbon: dataset and spatial maps", "description": "Model outputs were updated on Dec 20, 2017. This project used a machine learning data-driven model to predict the distribution of soil carbon under mangrove forests globally. Specifically this dataset contains: 1) a compilation of georeferenced and harmonized soil profile data under mangroves compiled from literature, reports and unpublished contributions 2) global mosaics of soil carbon stocks to 1m and 2m depths produced at 100 m resolution 3) tiled predictions of soil carbon stocks produced at 30 m resolution 4) shape file containing the tiling system 5) shape file containing country boundaries used for calculating national level statistics.\nFor detailed methodologies, please see the scientific paper (https://doi.org/10.1088/1748-9326/aabe1c).", "formats": [{"name": "zip"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["carbon", "soil profiles", "Soil science", "Australia", "Bangladesh", "Belize", "Benin", "Brazil", "Cameroon", "China", "Colombia", "Costa Rica", "Dominican Republic", "Ecuador", "Egypt", "El Salvador", "French Guiana", "Guadeloupe", "Honduras", "Hong Kong", "India", "Indonesia", "Madagascar", "Malaysia", "Mexico", "Micronesia", "Mozambique", "New Zealand", "Nigeria", "Palau", "Panama", "Philippines", "Saudi Arabia", "Singapore", "South Africa", "Sri Lanka", "Taiwan", "Thailand", "United States", "Vietnam"], "contacts": [{"name": "Jonathan Sanderman", "organization": "Woods Hole Research Centre", "position": "Associate scientist", "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "jsanderman@whrc.org"}], "addresses": [{"deliveryPoint": [null], "city": "Falmouth, Massachusetts", "administrativeArea": null, "postalCode": "MA 02540", "country": "United States of America"}], "links": [{"href": null}]}, {"name": "Tom Hengl", "organization": "ISRIC - World Soil Information", "position": "Former staff", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "None"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "distancevalue": "30", "distanceuom": "m"}, "links": [{"href": "https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OCYUIT", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://doi.org/10.1088/1748-9326/aabe1c", "name": "Scientific paper", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/other/WD-Mangroves.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": "31769934-038c-4873-ab14-4b6b66531103", "name": "item", "description": "31769934-038c-4873-ab14-4b6b66531103", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/31769934-038c-4873-ab14-4b6b66531103"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1969-01-01T00:00:00Z", "2015-09-01T00:00:00Z"]}}, {"id": "10.7910/DVN/QTACSN", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:35Z", "type": "Dataset", "title": "An integrated approach for understanding the factors that facilitate or constrain the adoption of soil carbon enhancing practices in East Africa, Kenya and Ethiopia.", "description": "The survey data on soil carbon enhancing practices in Ethiopia is systematically organized in Microsoft Excel tables. The data entails general household characteristics, plot characteristics, crops grown, yield, practices implemented, inputs, livestock ownership, social capital, access to credit, access to extension services.", "keywords": ["Agricultural economics", "Agricultural Sciences", "Soil carbon enhancing practices", "Land management", "Earth and Environmental Sciences", "Africa", "land management", "agricultural economics", "Decision and Policy Analysis - DAPA", "Ethiopia", "Natural resources", "natural resources", "Low soil fertility"], "contacts": [{"organization": "Ng\u2019ang\u2019a, Stanley Karanja, Gelaw, Fekadu, Nguru, Wilson Maina, Magambo Kanyenji, George, Girvetz, Evan,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/QTACSN"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/QTACSN", "name": "item", "description": "10.7910/DVN/QTACSN", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/QTACSN"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/V2ISRH", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:36Z", "type": "Dataset", "title": "Forest carbon dioxide gross removals (sequestration)", "description": "Displays gross carbon dioxide removals (sequestration) by standing and new forests globally from 2001 onwards. Geospatial data are in 10x10 degree geotifs. The northwest corner of each geotif is noted in the file name, e.g., 50N_030E has its northwest corner at (50 deg N, 30 deg E) and has its southeast corner at (40 deg N, 40 deg E). Use the shapefile in GFW_Hansen_tile_footprints.zip to determine which 10x10 degree geotifs cover your area(s) of interest.

Description (adapted from GFW Open Data Portal, https://data.globalforestwatch.org/datasets/gfw::forest-carbon-removals/about):

This carbon removals layer is part of the forest carbon flux model described in\u202fHarris et al. (2021). This paper introduces a geospatial monitoring framework for estimating global forest carbon fluxes which can assist a variety of actors and organizations with tracking greenhouse gas fluxes from forests and in decreasing emissions or increasing removals by forests. Forest carbon removals from the atmosphere (sequestration) by forest sinks represent the cumulative carbon captured (megagrams CO2/ha) by the growth of established and newly regrowing forests during the model period between 2001-2023. Removals include accumulation of carbon in both aboveground and belowground live tree biomass. Following IPCC Tier 1 assumptions for forests remaining forests, removals by dead wood, litter, and soil carbon pools are assumed to be zero. In each pixel, carbon removals are calculated following IPCC Guidelines for\u202fnational greenhouse gas inventories\u202fwhere forests existed in 2000 or were established between 2000 and 2020 according to Potapov et al. 2022. Atmospheric carbon removed in each pixel is based on maps of forest type (e.g., mangrove, plantation), ecozone (e.g., humid Neotropics), forest age (e.g., primary, old secondary), and number of years of carbon removal. This layer reflects the cumulative removals during the model period (2001-2023) and must be divided by 23 to obtain an annual average during the model duration; removal rates cannot be assigned to individual years of the model. All input layers were resampled to a common resolution of 0.00025 x 0.00025 degrees each to match\u202fHansen et al. (2013). Removals are available for download in megagrams of CO2/ha from 2001 onwards. It is appropriate for visualizing (mapping) removals because it represents the density of removals per hectare from 2001 onwards.

Each year, the tree cover loss, drivers of tree cover loss, and burned area are updated. In 2023 and 2024, a few model input data sets and constants were changed as well, as described below. Please refer to https://www.globalforestwatch.org/blog/data/whats-new-carbon-flux-monitoring/ for more information.

1. The source of the ratio between belowground carbon and aboveground carbon. Previously used one global constant; now uses map from Huang et al. 2021 2. The years of tree cover gain. Previously used 2000-2012; now uses 2000-2020 from Potapov et al. 2022.

3. The source of fire data. Previously used MODIS burned area; now uses tree cover loss from fires from Tyukavina et al. 2022.

4. The source of peat maps. New tropical data sets have been included and the data set above 40 degrees north has been changed.

5. Global warming potential (GWP) constants for CH4 and N2O. Previously used GWPs from IPCC Fifth Assessment Report; now uses GWPs from IPCC Sixth Assessment Report.

6. Removal factors for older (>20 years) secondary temperate forests and their associated uncertainties. Previously used removal factors published in Table 4.9 of the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories; now uses corrected removal factors and uncertainties from the 4th Corrigenda to the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories.

7. Planted tree extent and removal factors. Previously used Spatial Database of Planted Trees (SDPT) Version 1.0; now uses SDPT Version 2.0 and associated removal factors.

Cautions:

1. Data are the product of modeling and thus have an inherent degree of error and uncertainty. Users are strongly encouraged to read and fully comprehend the metadata and other available documentation prior to data use.

2. Values are applicable to forest areas (canopy cover >30 percent and >5 m height or areas with tree cover gain). See Harris et al. (2021) for further information on the forest definition used in the analysis.

3. Carbon removals reflect the total removals over the model period of 2001-2023, not an annual time series from which a trend can be derived. Thus, values must be divided by 23 to calculate average annual removals.

4. Uncertainty is higher in gross removals than emissions, particularly driven by uncertainty in removal factors.

5. Carbon removals reflect a gross estimate, i.e., carbon emissions from previous or subsequent loss of tree cover are not included. Instead, gross carbon emissions are accounted for in the companion forest carbon emissions layer.

6. Removals data contain temporal inconsistencies because tree cover gain represents a cumulative total from 2000-2020, rather than annual gains as estimated through 2023.

7. Forest carbon removals reflect those occurring only within forest ecosystems and do not reflect carbon stock increases in the harvested wood products (HWP) pool.

8. Large jumps in removals along some boundaries are due to the use of ecozone-specific removal factors. The changes in removals occur at ecozone boundaries, where different removal factors are applied on each side.

9. This dataset has been updated since its original publication. See Overview for more information.", "keywords": ["Carbon dioxide", "Earth and Environmental Sciences", "Sink", "Sequestration", "Forest", "Growth"], "contacts": [{"organization": "Gibbs, David, Rose, Melissa, Harris, Nancy,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/V2ISRH"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/V2ISRH", "name": "item", "description": "10.7910/DVN/V2ISRH", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/V2ISRH"}, {"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": "10.7910/DVN/VKYEDY", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:36Z", "type": "Dataset", "created": "2016-01-01", "title": "Replication data: CO2 venting in Rice at early and late season growth", "description": "Open AccessHere we tested the hypotheses: (a) CO2 venting mechanism is effective in relieving Zn stress only in soils whose Zn deficiency is linked to high organic matter content and strongly reducing conditions, and (b) Zn deficiency tolerant genotypes are better in venting out CO2 as a strategy for overcoming stress from bicarbonate toxicity. Location: IRRI Screenhouse and Laboratory Years: 2016", "keywords": ["Agricultural Sciences", "carbon dioxide venting", "bicarbonate toxicity", "zinc deficiency", "carbon dioxide", "Oryza sativa"], "contacts": [{"organization": "Goloran, Johnvie", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/VKYEDY"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/VKYEDY", "name": "item", "description": "10.7910/DVN/VKYEDY", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/VKYEDY"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-24T00:00:00Z"}}, {"id": "10.7910/DVN/XC7UPO", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:36Z", "type": "Dataset", "created": "2016-01-01", "title": "A database for multi-dimensional effects of tropical forage technologies in Sub-Saharan Africa", "description": "Small-scale livestock productivity in Sub-Saharan Africa (SSA) has been limited mainly by the lack of adequate quality feeds. This database contains data on effects of tropical forage technologies from 72 pre-selected experimental studies from across SSA. The experimental studies were selected and compiled following a well-defined systematic literature search of peer-reviewed articles in Scopus conducted in June 2016. The systematic search of studies was complemented with references cited in the primary literature including unpublished studies from the authors\u2019 personal networks. The database contains data from four technology clusters (improved feed regime, improved germplasm, improvement management, improved cropping system integration), and includes effects on quality and quantity of forage, livestock productivity, soil quality, economic performance, and food crop productivity.", "keywords": ["integrated crop-livestock systems", "sistemas pecuarios", "HERBACEOUS PLANTS", "CROPPING SYSTEMS", "MULTI-DIMENSIONAL IMPACTS", "SOIL ORGANIC CARBON", "feed grasses", "herbaceous plants", "HERBACEOUS LEGUME", "livestock productivity", "FORAGE", "CROP-LIVESTOCK SYSTEMS", "LIVESTOCK PRODUCTIVITY", "FORAGE AGRONOMY", "FORAGE GRASS", "2. Zero hunger", "FEED GRASSES", "Crops for Nutrition and Health", "agronomy", "Agricultural Sciences", "forage grass", "sustainable intensification", "agricultural productivity", "livestock systems", "cropping systems", "15. Life on land", "SUSTAINABLE INTENSIFICATION", "AGRICULTURAL PRODUCTIVITY", "soil organic carbon", "multi-dimensional impacts", "plantas herb\u00e1ceas", "Earth and Environmental Sciences", "forage agronomy", "LIVESTOCK SYSTEMS", "Africa", "sistemas integrados de producci\u00f3n agropecuaria", "CGIAR Research Program on Livestock", "crop-livestock systems", "herbaceous legume", "AGRONOMY", "INTEGRATED CROP-LIVESTOCK SYSTEMS"], "contacts": [{"organization": "Paul, Birthe, Koge, Jessica, Nderi, Alex N., Maass, Brigitte L., Notenbaert, An Maria Omer, Groot, Jeroen,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/XC7UPO"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/XC7UPO", "name": "item", "description": "10.7910/DVN/XC7UPO", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/XC7UPO"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/XZIRK0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:36Z", "type": "Dataset", "title": "Baselines for land degradation neutrality indicators in the Omusati region, Namibia", "description": "This data was collected to develop baselines for three Land Degradation Neutrality (LDN) indicators: land use and land cover change (LUC) for the period 2001-2017, soil organic carbon (SOC) stocks for 2017 and bush density for 2017 as a baseline for bush encroachment in Omusati region, Namibia.", "keywords": ["SDG 15.3", "Land cover", "sustainable development", "UNCCD", "Land degradation neutrality", "Agricultural Sciences", "land degradation", "carbon", "Namibia", "Soil carbon", "Carbon", "soil", "Soil", "land cover", "Omusati", "Earth and Environmental Sciences", "Sustainable development", "Africa", "Bush density", "Land degradation", "Agroecosystems and Sustainable Landscapes - ASL"], "contacts": [{"organization": "Hengari, Simeon, Angombe, Simon, Katjioungua, Georgina, Fabiano, Ezequiel, Zauisomue, Erlich, Nakashona, Natalia, Ipinge, Selma, Andreas, Amon, Muhoko, Edward, Emvula, Emerit, Mutua, John, Kempen, Bas, Nijbroek, Ravic,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/XZIRK0"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/XZIRK0", "name": "item", "description": "10.7910/DVN/XZIRK0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/XZIRK0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/ZJMJ7K", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:36Z", "type": "Dataset", "created": "2018-01-01", "title": "Predicted soil organic carbon (SOC) content (g/kg) and SOC stock (t/ha) in the Eastern Plains of Colombia", "description": "Open AccessMaps allocated in this repository were predicted using a digital soil mapping (DSM) approach (McBratney et al, 2003) based on random forest (Breiman, 2001). A dataset consisting of 653 geo-referenced soil points and a series of environmental covariates that represent the soil-forming factors were used in order to adjust the DSM models. Models\u2019 assessment for SOC content was performed using the 100-fold cross-validation, through the coefficient of determination (R2), root mean squared error (RMSE) and the mean error. Results showed 50.3% of the variance explained, and a RMSE and ME of 0.461 g/kg and 0.038 g/kg, respectively.", "keywords": ["digital surface models", "Eastern Plains", "carbon stock", "carbono org\u00e1nico del suelo", "Colombia", "land use mapping", "Latin America and the Caribbean", "soil", "soil organic carbon", "cartograf\u00eda del uso de la tierra", "Orinoco region", "Earth and Environmental Sciences", "digital soil mapping", "Soil and Water Management", "reconocimiento de suelos", "Multifunctional landscapes", "soil surveys"]}, "links": [{"href": "https://doi.org/10.7910/DVN/ZJMJ7K"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/ZJMJ7K", "name": "item", "description": "10.7910/DVN/ZJMJ7K", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/ZJMJ7K"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10342/9526", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:56Z", "type": "Journal Article", "created": "2020-01-07", "title": "Assessing the Potential Impact of Cigarette Packs Designed for Lesbian, Gay, Bisexual, and Transgender Adults: A Randomized Experiment to Inform U.S. Regulation, 2018", "description": "

The Food and Drug Administration (FDA) can regulate the introduction of new tobacco products and some changes to existing products. Cigarette packs have been used as a marketing tool to target specific groups and priority populations. Research has shown that sexual and gender minority (SGM) adults are substantially more likely to use tobacco products than their straight and cisgender counterparts. However, research to inform the FDA\u2019s regulatory decisions regarding cigarette packs targeting priority populations is nascent. To fill this gap, we conducted an online experiment in 2018, randomizing U.S. adults who reported current smoking ( N = 954, 52% were SGM) to view one of three cigarette packs. A graphic designer developed \u201cGlacier\u201d branded packs with three levels of SGM imagery: (1) no targeting, (2) subtle targeting, and (3) a rainbow \u201cpride edition.\u201d Participants viewed and rated the pack using cognitive, affective, and behavioral measures informed by theory. We used a linear model framework to compare the two SGM-targeted packs with the not targeted version and tested interactions between pack and SGM identity for the dependent variables. We stratified results by SGM status. SGM status was a significant moderator of the relationship between the pack and ratings of appeal, positive affect, feeling shocked, and intent to try with a coupon. Findings from this study revealed that packs designed for SGM populations can disproportionately change cognitive, affective, and behavioral intention responses for SGM smokers. Products entering the market should be assessed by FDA for the appeal of their packs to vulnerable populations.

", "keywords": ["Adult", "Male", "Marketing", "Adolescent", "Vaping", "Tobacco Products", "Electronic Nicotine Delivery Systems", "Risk Assessment", "Transgender Persons", "United States", "3. Good health", "Sexual and Gender Minorities", "Young Adult", "03 medical and health sciences", "0302 clinical medicine", "Socioeconomic Factors", "Surveys and Questionnaires", "Humans", "Female", "10. No inequality", "Designed for LGBT", "Cigarette Packs", "Potential Impact", "Minority Groups"]}, "links": [{"href": "https://doi.org/10342/9526"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Health%20Promotion%20Practice", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10342/9526", "name": "item", "description": "10342/9526", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10342/9526"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10044/1/92021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:39Z", "type": "Journal Article", "created": "2021-08-05", "title": "Pseudo-anapole regime in terahertz metasurfaces", "description": "We present the numerical, theoretical, and experimental study of a terahertz metasurface supporting a pseudo-anapole. Pseudo-anapole effect arises when electric and toroidal dipole moments both tend to a minimum, instead of destructive interference between electric and toroidal dipole moments in conventional anapole mode. Such overlap allows resonance suppression of electric type radiation. Thus it becomes possible to study the multipoles of other families and higher order excitations. We estimate multipole contribution to the metasurface response via the multipole expansion method. The series is extended with such terms as mean-square radii and multipole interference. We also study the metasurface geometrical tunability. Via scaling, we demonstrate that it is possible to control the metasurface toroidal and electric responses independently. This in turn proves the fact that these multipoles have different physical origin. Moreover, we demonstrate that the proposed metasurface allows excitation of coherent magnetic dipole and electric quadrupole modes, which is crucial for planar cavities and lasing spasers in nanophotonics.", "keywords": ["Technology", "Multidisciplinary", "Science & Technology", "Physics", "Materials Science", "Materials Science", " Multidisciplinary", "Condensed Matter", "530", "01 natural sciences", "620", "Physics", " Applied", "Physics", " Condensed Matter", "Applied", "Physical Sciences", "0103 physical sciences", "FIELD", "RESONANCES"]}, "links": [{"href": "https://doi.org/10044/1/92021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Physical%20Review%20B", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10044/1/92021", "name": "item", "description": "10044/1/92021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10044/1/92021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-05T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=de&offset=4000&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=de&offset=4000&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "prev", "title": "items (prev)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=de&offset=3950", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=de&offset=4050", "hreflang": "en-US"}], "numberMatched": 11076, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-04-04T14:10:45.114521Z"}