{"type": "FeatureCollection", "features": [{"id": "10.1016/J.JENVMAN.2019.04.120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:16Z", "type": "Journal Article", "created": "2019-06-13", "title": "A spatial approach to identify priority areas for pesticide pollution mitigation", "description": "Identifying priority areas is an essential step in developing management strategies to reduce pesticide loads in surface water. A spatially explicit model-based approach was developed to detect priority areas for diffuse pesticide pollution at catchment scale. The method uses available datasets and considers different pesticide pathways in the environment post-application. The approach was applied in a catchment area in SE Flanders (Belgium) as a case study. Calculated risk areas were obtained using detailed landscape data and combining pesticide emissions and hydrological connectivity. The risk areas obtained were further compared with an alternative observation-based method, developed specifically for this study site that includes long-term field observations and local expert knowledge. Both methods equally classified 50% of the areas. The impact of crop rotation on the calculated risk was analysed. High-risk areas were identified and added to a cumulative map over all five years to evaluate temporal variations. The model-based approach was used for the initial identification of risk areas at the study site. The tool helps to prioritise zones and detect particular fields to target landscape mitigation measures to reduce diffuse pesticide pollution reaching surface water bodies.", "keywords": ["Technology and Engineering", "GIS modelling", "FATE", "0207 environmental engineering", "GLYPHOSATE", "02 engineering and technology", "Diffuse pesticide pollution", "01 natural sciences", "12. Responsible consumption", "CATCHMENT", "Belgium", "RUNOFF", "SURFACE WATERS", "Pesticides", "Biology", "0105 earth and related environmental sciences", "RISK", "Catchment scale", "Water Pollution", "Surface water", "Agriculture", "HERBICIDE LOSSES", "15. Life on land", "Field observations", "BUFFER ZONES", "TRANSPORT", "6. Clean water", "NO-TILL", "Chemistry", "13. Climate action", "Earth and Environmental Sciences", "Pesticide risk areas", "Water Pollutants", " Chemical"]}, "links": [{"href": "https://doi.org/10.1016/J.JENVMAN.2019.04.120"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/J.JENVMAN.2019.04.120", "name": "item", "description": "10.1016/J.JENVMAN.2019.04.120", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/J.JENVMAN.2019.04.120"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-01T00:00:00Z"}}, {"id": "10.1016/j.jenvman.2019.04.120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:30Z", "type": "Journal Article", "created": "2019-06-13", "title": "A spatial approach to identify priority areas for pesticide pollution mitigation", "description": "Identifying priority areas is an essential step in developing management strategies to reduce pesticide loads in surface water. A spatially explicit model-based approach was developed to detect priority areas for diffuse pesticide pollution at catchment scale. The method uses available datasets and considers different pesticide pathways in the environment post-application. The approach was applied in a catchment area in SE Flanders (Belgium) as a case study. Calculated risk areas were obtained using detailed landscape data and combining pesticide emissions and hydrological connectivity. The risk areas obtained were further compared with an alternative observation-based method, developed specifically for this study site that includes long-term field observations and local expert knowledge. Both methods equally classified 50% of the areas. The impact of crop rotation on the calculated risk was analysed. High-risk areas were identified and added to a cumulative map over all five years to evaluate temporal variations. The model-based approach was used for the initial identification of risk areas at the study site. The tool helps to prioritise zones and detect particular fields to target landscape mitigation measures to reduce diffuse pesticide pollution reaching surface water bodies.", "keywords": ["Technology and Engineering", "GIS modelling", "FATE", "0207 environmental engineering", "GLYPHOSATE", "02 engineering and technology", "Diffuse pesticide pollution", "01 natural sciences", "12. Responsible consumption", "CATCHMENT", "Belgium", "RUNOFF", "SURFACE WATERS", "Pesticides", "Biology", "0105 earth and related environmental sciences", "RISK", "Catchment scale", "Water Pollution", "Surface water", "Agriculture", "HERBICIDE LOSSES", "15. Life on land", "Field observations", "BUFFER ZONES", "TRANSPORT", "6. Clean water", "NO-TILL", "Chemistry", "13. Climate action", "Earth and Environmental Sciences", "Pesticide risk areas", "Water Pollutants", " Chemical"]}, "links": [{"href": "https://doi.org/10.1016/j.jenvman.2019.04.120"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jenvman.2019.04.120", "name": "item", "description": "10.1016/j.jenvman.2019.04.120", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jenvman.2019.04.120"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-01T00:00:00Z"}}, {"id": "10.1021/acs.est.1c03586", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:14Z", "type": "Journal Article", "created": "2021-11-02", "title": "Impact of Periodic Polarization on Groundwater Denitrification in Bioelectrochemical Systems.", "description": "Nitrate contamination is a common problem in groundwater around the world. Nitrate can be cathodically reduced in bioelectrochemical systems using autotrophic denitrifiers with low energy investment and without chemical addition. Successful denitrification was demonstrated in previous studies in both microbial fuel cells and microbial electrolysis cells (MECs) with continuous current flow, whereas the impact of intermittent current supply (e.g., in a fluidized-bed system) on denitrification and particularly the electron-storing capacity of the denitrifying electroactive biofilms (EABs) on the cathodes have not been studied in depth. In this study, two continuously fed MECs were operated in parallel under continuous and periodic polarization modes over 280 days, respectively. Under continuous polarization, the maximum denitrification rate reached 233 g NO3--N/m3/d with 98% nitrate removal (0.6 mg NO3--N/L in the effluent) with negligible intermediate production, while under a 30 s open-circuit/30 s polarization mode, 86% of nitrate was removed at a maximum rate of 205 g NO3--N/m3/d (4.5 mg NO3--N/L in the effluent) with higher N2O production (6.6-9.3 mg N/L in the effluent). Conversely, periodic polarization could be an interesting approach in other bioelectrochemical processes if the generation of chemical intermediates (partially reduced or oxidized) should be favored. Similar microbial communities dominated byGallionellaceaewere found in both MECs; however, swapping the polarization modes and the electrochemical analyses suggested that the periodically polarized EABs probably developed a higher ability for electron storage and transfer, which supported the direct electron transfer pathway in discontinuous operation or fluidized biocathodes.", "keywords": ["bioelectrochemical systems (BESs)", "periodic polarization", "Autotrophic Processes", "Technology and Engineering", "denitrification", "Nitrates", "AUTOTROPHIC DENITRIFICATION", "EABs", "Bioelectric Energy Sources", "NITRATE-CONTAMINATED GROUNDWATER", "02 engineering and technology", "6. Clean water", "REDUCTION", "REMOVAL", "13. Climate action", "Earth and Environmental Sciences", "BACTERIA", "ACETATE", "Denitrification", "MICROBIAL FUEL-CELLS", "ELECTRON-TRANSFER", "BIOFILM", "0210 nano-technology", "Groundwater", "STORAGE"]}, "links": [{"href": "https://pubs.acs.org/doi/pdf/10.1021/acs.est.1c03586"}, {"href": "https://doi.org/10.1021/acs.est.1c03586"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20%26amp%3B%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1021/acs.est.1c03586", "name": "item", "description": "10.1021/acs.est.1c03586", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1021/acs.est.1c03586"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-02T00:00:00Z"}}, {"id": "10.1109/lgrs.2021.3073484", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:18Z", "type": "Journal Article", "created": "2021-06-10", "title": "Sentinel-1 Backscatter Assimilation Using Support Vector Regression or the Water Cloud Model at European Soil Moisture Sites", "description": "Sentinel-1 backscatter observations were assimilated into the Global Land Evaporation Amsterdam Model (GLEAM) using an ensemble Kalman filter. As a forward operator, which is required to simulate backscatter from soil moisture and leaf area index (LAI), we evaluated both the traditional water cloud model (WCM) and the support vector regression (SVR). With SVR, a closer fit between backscatter observations and simulations was achieved. The impact on the correlation between modeled and in situ soil moisture measurements was similar when assimilating the Sentinel data using WCM (\u0394 R = +0.037) or SVR (\u0394 R = +0.025).", "keywords": ["Vegetation mapping", "support vector regression (SVR)", "Technology and Engineering", "Data models", "0211 other engineering and technologies", "Computational modeling", "02 engineering and technology", "15. Life on land", "Geotechnical Engineering and Engineering Geology", "01 natural sciences", "Backscatter", "radar backscatter", "Soil", "Earth and Environmental Sciences", "LAND EVAPORATION", "Data assimilation", "Soil moisture", "Electrical and Electronic Engineering", "soil moisture", "Moisture", "SMOS", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/8859/9651998/09451176.pdf?arnumber=9451176"}, {"href": "https://doi.org/10.1109/lgrs.2021.3073484"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Geoscience%20and%20Remote%20Sensing%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/lgrs.2021.3073484", "name": "item", "description": "10.1109/lgrs.2021.3073484", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/lgrs.2021.3073484"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.3390/s20113185", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:35Z", "type": "Journal Article", "created": "2020-06-04", "title": "MRI Reconstruction Using Markov Random Field and Total Variation as Composite Prior", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Reconstruction of magnetic resonance images (MRI) benefits from incorporating a priori knowledge about statistical dependencies among the representation coefficients. Recent results demonstrate that modeling intraband dependencies with Markov Random Field (MRF) models enable superior reconstructions compared to inter-scale models. In this paper, we develop a novel reconstruction method, which includes a composite prior based on an MRF model and Total Variation (TV). We use an anisotropic MRF model and propose an original data-driven method for the adaptive estimation of its parameters. From a Bayesian perspective, we define a new position-dependent type of regularization and derive a compact reconstruction algorithm with a novel soft-thresholding rule. Experimental results show the effectiveness of this method compared to the state of the art in the field.</p></article>", "keywords": ["Technology and Engineering", "Markov random field", "LORAKS", "Chemical technology", "TP1-1185", "02 engineering and technology", "image reconstruction", "Article", "NETWORKS", "magnetic resonance imaging; Markov random field; image reconstruction", "03 medical and health sciences", "0302 clinical medicine", "0202 electrical engineering", " electronic engineering", " information engineering", "magnetic resonance imaging", "MAGE-RECONSTRUCTION"], "contacts": [{"organization": "Pani\u0107, M., Jakoveti\u0107, Du\u0161an, Vukobratovi\u0107, Dejan, Crnojevi\u0107, Vladimir, Pi\u017eurica, Aleksandra,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/1424-8220/20/11/3185/pdf"}, {"href": "https://doi.org/10.3390/s20113185"}, {"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": "10.3390/s20113185", "name": "item", "description": "10.3390/s20113185", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s20113185"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-03T00:00:00Z"}}, {"id": "10.3390/s21092980", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:35Z", "type": "Journal Article", "created": "2021-04-25", "title": "Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Efforts related to minimizing the environmental burden caused by agricultural activities and increasing economic efficiency are key contemporary drivers in the precision agriculture domain. Controlled Traffic Farming (CTF) techniques are being applied against soil compaction creation, using the on-line optimization of trajectory planning for soil-sensitive field operations. The research presented in this paper aims at a proof-of-concept solution with respect to optimizing farm machinery trajectories in order to minimize the environmental burden and increase economic efficiency. As such, it further advances existing CTF solutions by including (1) efficient plot divisions in 3D, (2) the optimization of entry and exit points of both plot and plot segments, (3) the employment of more machines in parallel and (4) obstacles in a farm machinery trajectory. The developed algorithm is expressed in terms of unified modeling language (UML) activity diagrams as well as pseudo-code. Results were visualized in 2D and 3D to demonstrate terrain impact. Verifications were conducted at a fully operational commercial farm (Rost\u011bnice, the Czech Republic) against second-by-second sensor measurements of real farm machinery trajectories.</p></article>", "keywords": ["Agriculture and Food Sciences", "2. Zero hunger", "Technology and Engineering", "controlled traffic farming", "Chemical technology", "mission planning", "TP1-1185", "04 agricultural and veterinary sciences", "Biochemistry", "Article", "Analytical Chemistry", "soil compaction", "Atomic and Molecular Physics", "digital elevation model", "AGRICULTURAL ROBOTS", "0401 agriculture", " forestry", " and fisheries", "Electrical and Electronic Engineering", "and Optics", "coverage path planning", "controlled traffic farming; coverage path planning; digital elevation model; mission planning; soil compaction"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/21/9/2980/pdf"}, {"href": "https://www.mdpi.com/1424-8220/21/9/2980/pdf"}, {"href": "https://doi.org/10.3390/s21092980"}, {"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": "10.3390/s21092980", "name": "item", "description": "10.3390/s21092980", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s21092980"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-23T00:00:00Z"}}, {"id": "1854/LU-01K5E035287J0CAAMM2H8899EY", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:18Z", "type": "Journal Article", "created": "2025-09-01", "title": "GloSIS: The Global Soil Information System Web Ontology", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Established in 2012 by members of the Food and Agriculture Organisation of the United Nations, the Global Soil Partnership (GSP) is a global network of stakeholders promoting sound land and soil management practices towards a sustainable world food system. However, soil survey largely remains a local or regional activity, bound to heterogeneous methods and conventions. Recognising the relevance of global and trans-national policies towards sustainable land management practices, the GSP elected data harmonisation and exchange as one of its key lines of action. Building upon international standards and previous work towards a global soil data ontology, an improved domain model was eventually developed within the GSP, the basis for a Global Soil Information System (GloSIS). This work also identified the Semantic Web as a possible avenue to operationalise the domain model. This article presents the GloSIS web ontology, an implementation of the GloSIS domain model with the Web Ontology Language (OWL). Thoroughly employing a host of Semantic Web standards (Sensor, Observation, Sample, and Actuator ontology (SOSA), Simple Knowledge Organisation System (SKOS), GeoSPARQL, QUDT), GloSIS lays out not only a soil data ontology but also an extensive set of ready-to-use code-lists for soil description and physico-chemical analysis. Various examples are provided on the provision and use of GloSIS-compliant linked data, showcasing the contribution of this ontology to the discovery, exploration, integration and access of soil data.</p></article>", "keywords": ["2. Zero hunger", "FOS: Computer and information sciences", "Technology and Engineering", "15. Life on land", "sustainability", "semantic model", "soil", "Computer Science - Information Retrieval", "12. Responsible consumption", "13. Climate action", "Earth and Environmental Sciences", "11. Sustainability", "GloSIS", "Life Science", "SOSA/SSN", "SKOS", "Information Retrieval (cs.IR)"]}, "links": [{"href": "https://doi.org/1854/LU-01K5E035287J0CAAMM2H8899EY"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Semantic%20Web%3A%20%E2%80%93%20Interoperability%2C%20Usability%2C%20Applicability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-01K5E035287J0CAAMM2H8899EY", "name": "item", "description": "1854/LU-01K5E035287J0CAAMM2H8899EY", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01K5E035287J0CAAMM2H8899EY"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-05-01T00:00:00Z"}}, {"id": "10.5281/zenodo.3957267", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:22:37Z", "type": "Journal Article", "created": "2020-06-04", "title": "MRI Reconstruction Using Markov Random Field and Total Variation as Composite Prior.", "description": "<p>Reconstruction of magnetic resonance images (MRI) benefits from incorporating a priori knowledge about statistical dependencies among the representation coefficients. Recent results demonstrate that modeling intraband dependencies with Markov Random Field (MRF) models enable superior reconstructions compared to inter-scale models. In this paper, we develop a novel reconstruction method, which includes a composite prior based on an MRF model and Total Variation (TV). We use an anisotropic MRF model and propose an original data-driven method for the adaptive estimation of its parameters. From a Bayesian perspective, we define a new position-dependent type of regularization and derive a compact reconstruction algorithm with a novel soft-thresholding rule. Experimental results show the effectiveness of this method compared to the state of the art in the field.</p>", "keywords": ["Technology and Engineering", "Markov random field", "LORAKS", "Chemical technology", "TP1-1185", "02 engineering and technology", "image reconstruction", "Article", "NETWORKS", "magnetic resonance imaging; Markov random field; image reconstruction", "03 medical and health sciences", "0302 clinical medicine", "0202 electrical engineering", " electronic engineering", " information engineering", "magnetic resonance imaging", "MAGE-RECONSTRUCTION"], "contacts": [{"organization": "Pani\u0107, M., Jakoveti\u0107, Du\u0161an, Vukobratovi\u0107, Dejan, Crnojevi\u0107, Vladimir, Pi\u017eurica, Aleksandra,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/1424-8220/20/11/3185/pdf"}, {"href": "https://doi.org/10.5281/zenodo.3957267"}, {"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": "10.5281/zenodo.3957267", "name": "item", "description": "10.5281/zenodo.3957267", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3957267"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-03T00:00:00Z"}}, {"id": "10259/9506", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:45Z", "type": "Journal Article", "created": "2024-06-18", "title": "Macrophyte assisted phytoremediation and toxicological profiling of metal(loid)s polluted water is influenced by hydraulic retention time", "description": "Abstract           <p>The present study reports findings related to the treatment of polluted groundwater using macrophyte-assisted phytoremediation. The potential of three macrophyte species (Phragmites australis, Scirpus holoschoenus, and Typha angustifolia) to tolerate exposure to multi-metal(loid) polluted groundwater was first evaluated in mesocosms for 7- and 14-day batch testing. In the 7-day batch test, the polluted water was completely replaced\uffc2\uffa0and renewed after 7\uffc2\uffa0days, while for\uffc2\uffa014\uffc2\uffa0days exposure, the same polluted water, added in the first week, was maintained. The initial biochemical screening\uffc2\uffa0results of macrophytes indicated that the selected plants were more tolerant to the provided conditions with 14\uffc2\uffa0days of exposure. Based on these findings, the plants were exposed to HRT regimes of 15 and 30\uffc2\uffa0days. The results showed that P. australis and S. holoschoenus performed better than T. angustifolia, in terms of metal(loid) accumulation and removal, biomass production, and toxicity reduction. In addition, the translocation and compartmentalization of metal(loid)s were dose-dependent. At the 30-day loading rate (higher HRT), below-ground phytostabilization was greater than phytoaccumulation, whereas at the 15-day loading rate (lower HRT), below- and above-ground phytoaccumulation was the dominant metal(loid) removal mechanism. However, higher levels of toxicity were noted in the water at the 15-day loading rate. Overall, this\uffc2\uffa0study provides valuable insights for macrophyte-assisted phytoremediation of polluted (ground)water streams that can help to improve the design and implementation of phytoremediation systems.</p", "keywords": ["Qu\u00edmica agr\u00edcola", "Bioqu\u00edmica", "Toxicity reduction", "15. Life on land", "Biochemistry", "Advances in Environmental Biotechnology and Engineering", "6. Clean water", "Phytoremediation", "Macrophyte", "Agricultural chemistry", "13. Climate action", "Metal and metalloid contamination", "Phytostabilization", "Wetland mesocosm", "Hydraulic retention time"]}, "links": [{"href": "https://doi.org/10259/9506"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20and%20Pollution%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10259/9506", "name": "item", "description": "10259/9506", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10259/9506"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-08T00:00:00Z"}}, {"id": "10259/9505", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:45Z", "type": "Journal Article", "created": "2024-03-22", "title": "Bioaugmentation and vermicompost facilitated the hydrocarbon bioremediation: scaling up from lab to field for petroleum-contaminated soils", "description": "Abstract                   <p>The biodegradation of total petroleum hydrocarbon (TPH) in soil is very challenging due to the complex recalcitrant nature of hydrocarbon, hydrophobicity, indigenous microbial adaptation and competition, and harsh environmental conditions. This work further confirmed that limited natural attenuation of petroleum hydrocarbons (TPHs) (15% removal) necessitates efficient bioremediation strategies. Hence, a scaling-up experiment for testing and optimizing the use of biopiles for bioremediation of TPH polluted soils was conducted with three 500-kg pilots of polluted soil, and respective treatments were implemented: including control soil (CT), bioaugmentation and vermicompost treatment (BAVC), and a combined application of BAVC along with bioelectrochemical snorkels (BESBAVC), all maintained at 40% field capacity. This study identified that at pilot scale level, a successful application of BAVC treatment can achieve 90.3% TPH removal after 90 days. BAVC\uffe2\uff80\uff99s effectiveness stemmed from synergistic mechanisms. Introduced microbial consortia were capable of TPH degradation, while vermicompost provided essential nutrients, enhanced aeration, and, potentially, acted as a biosorbent. Hence, it can be concluded that the combined application of BAVC significantly enhances TPH removal compared to natural attenuation. While the combined application of a bioelectrochemical snorkel (BES) with BAVC also showed a significant TPH removal, it did not differ statistically from the individual application of BAVC, under applied conditions. Further research is needed to optimize BES integration with BAVC for broader applicability. This study demonstrates BAVC as a scalable and mechanistically sound approach for TPH bioremediation in soil.</p", "keywords": ["Qu\u00edmica agr\u00edcola", "Bioqu\u00edmica", "0301 basic medicine", "vermicompost", "Passive bioelectrochemical systems", "Contaminaci\u00f3n", "passive bioelectrochemical systems", "Biolog\u00eda y Biomedicina / Biolog\u00eda", "Pollution", "Biochemistry", "01 natural sciences", "Hydrocarbons", "Advances in Environmental Biotechnology and Engineering", "Microbial consortium", "03 medical and health sciences", "Agricultural chemistry", "Bioaugmentation", "microbial consortium", "hydrocarbons", "Vermicompost", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10259/9505"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20and%20Pollution%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10259/9505", "name": "item", "description": "10259/9505", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10259/9505"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-22T00:00:00Z"}}, {"id": "1854/LU-8619257", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:18Z", "type": "Journal Article", "created": "2019-06-13", "title": "A spatial approach to identify priority areas for pesticide pollution mitigation", "description": "Identifying priority areas is an essential step in developing management strategies to reduce pesticide loads in surface water. A spatially explicit model-based approach was developed to detect priority areas for diffuse pesticide pollution at catchment scale. The method uses available datasets and considers different pesticide pathways in the environment post-application. The approach was applied in a catchment area in SE Flanders (Belgium) as a case study. Calculated risk areas were obtained using detailed landscape data and combining pesticide emissions and hydrological connectivity. The risk areas obtained were further compared with an alternative observation-based method, developed specifically for this study site that includes long-term field observations and local expert knowledge. Both methods equally classified 50% of the areas. The impact of crop rotation on the calculated risk was analysed. High-risk areas were identified and added to a cumulative map over all five years to evaluate temporal variations. The model-based approach was used for the initial identification of risk areas at the study site. The tool helps to prioritise zones and detect particular fields to target landscape mitigation measures to reduce diffuse pesticide pollution reaching surface water bodies.", "keywords": ["Technology and Engineering", "GIS modelling", "FATE", "0207 environmental engineering", "GLYPHOSATE", "02 engineering and technology", "Diffuse pesticide pollution", "01 natural sciences", "12. Responsible consumption", "CATCHMENT", "Belgium", "RUNOFF", "SURFACE WATERS", "Pesticides", "Biology", "0105 earth and related environmental sciences", "RISK", "Catchment scale", "Water Pollution", "Surface water", "Agriculture", "HERBICIDE LOSSES", "15. Life on land", "Field observations", "BUFFER ZONES", "TRANSPORT", "6. Clean water", "NO-TILL", "Chemistry", "13. Climate action", "Earth and Environmental Sciences", "Pesticide risk areas", "Water Pollutants", " Chemical"]}, "links": [{"href": "https://doi.org/1854/LU-8619257"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8619257", "name": "item", "description": "1854/LU-8619257", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8619257"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-01T00:00:00Z"}}, {"id": "1854/LU-8664006", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:18Z", "type": "Journal Article", "created": "2020-06-04", "title": "MRI Reconstruction Using Markov Random Field and Total Variation as Composite Prior", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Reconstruction of magnetic resonance images (MRI) benefits from incorporating a priori knowledge about statistical dependencies among the representation coefficients. Recent results demonstrate that modeling intraband dependencies with Markov Random Field (MRF) models enable superior reconstructions compared to inter-scale models. In this paper, we develop a novel reconstruction method, which includes a composite prior based on an MRF model and Total Variation (TV). We use an anisotropic MRF model and propose an original data-driven method for the adaptive estimation of its parameters. From a Bayesian perspective, we define a new position-dependent type of regularization and derive a compact reconstruction algorithm with a novel soft-thresholding rule. Experimental results show the effectiveness of this method compared to the state of the art in the field.</p></article>", "keywords": ["Technology and Engineering", "Markov random field", "LORAKS", "Chemical technology", "TP1-1185", "02 engineering and technology", "image reconstruction", "Article", "NETWORKS", "magnetic resonance imaging; Markov random field; image reconstruction", "03 medical and health sciences", "0302 clinical medicine", "0202 electrical engineering", " electronic engineering", " information engineering", "magnetic resonance imaging", "MAGE-RECONSTRUCTION"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/20/11/3185/pdf"}, {"href": "https://doi.org/1854/LU-8664006"}, {"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": "1854/LU-8664006", "name": "item", "description": "1854/LU-8664006", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8664006"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-03T00:00:00Z"}}, {"id": "1854/LU-8709527", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:18Z", "type": "Journal Article", "created": "2021-04-25", "title": "Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Efforts related to minimizing the environmental burden caused by agricultural activities and increasing economic efficiency are key contemporary drivers in the precision agriculture domain. Controlled Traffic Farming (CTF) techniques are being applied against soil compaction creation, using the on-line optimization of trajectory planning for soil-sensitive field operations. The research presented in this paper aims at a proof-of-concept solution with respect to optimizing farm machinery trajectories in order to minimize the environmental burden and increase economic efficiency. As such, it further advances existing CTF solutions by including (1) efficient plot divisions in 3D, (2) the optimization of entry and exit points of both plot and plot segments, (3) the employment of more machines in parallel and (4) obstacles in a farm machinery trajectory. The developed algorithm is expressed in terms of unified modeling language (UML) activity diagrams as well as pseudo-code. Results were visualized in 2D and 3D to demonstrate terrain impact. Verifications were conducted at a fully operational commercial farm (Rost\u011bnice, the Czech Republic) against second-by-second sensor measurements of real farm machinery trajectories.</p></article>", "keywords": ["Agriculture and Food Sciences", "2. Zero hunger", "Technology and Engineering", "controlled traffic farming", "Chemical technology", "mission planning", "TP1-1185", "04 agricultural and veterinary sciences", "Biochemistry", "Article", "Analytical Chemistry", "soil compaction", "Atomic and Molecular Physics", "digital elevation model", "AGRICULTURAL ROBOTS", "0401 agriculture", " forestry", " and fisheries", "Electrical and Electronic Engineering", "and Optics", "coverage path planning", "controlled traffic farming; coverage path planning; digital elevation model; mission planning; soil compaction"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/21/9/2980/pdf"}, {"href": "https://www.mdpi.com/1424-8220/21/9/2980/pdf"}, {"href": "https://doi.org/1854/LU-8709527"}, {"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": "1854/LU-8709527", "name": "item", "description": "1854/LU-8709527", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8709527"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-23T00:00:00Z"}}, {"id": "1854/LU-8743335", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:18Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km(2) resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km(2) pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10 degrees C (mean = 3.0 +/- 2.1 degrees C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 +/- 2.3 degrees C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 +/- 2.3 degrees C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["Technology and Engineering", "soil temperature", "Biology and Life Sciences", "soil-dwelling organisms", "SNOW-COVER", "MITIGATION", "MOISTURE", "FOREST", "weather stations", "LITTER DECOMPOSITION", "PERMAFROST", "near-surface temperatures", "PLANT-RESPONSES", "bioclimatic variables", "CLIMATIC CONTROLS", "Earth and Environmental Sciences", "temperature offset", "SUITABILITY", "global maps", "MICROCLIMATE", "CBCE", "microclimate"]}, "links": [{"href": "https://doi.org/1854/LU-8743335"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8743335", "name": "item", "description": "1854/LU-8743335", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8743335"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "1893/33794", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:20Z", "type": "Journal Article", "created": "2021-12-30", "title": "Global maps of soil temperature", "description": "Abstract<p>Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2\uffc2\uffa0m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1\uffe2\uff80\uff90km2resolution for 0\uffe2\uff80\uff935 and 5\uffe2\uff80\uff9315\uffc2\uffa0cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1\uffe2\uff80\uff90km2pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse\uffe2\uff80\uff90grained air temperature estimates from ERA5\uffe2\uff80\uff90Land (an atmospheric reanalysis by the European Centre for Medium\uffe2\uff80\uff90Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\uffc2\uffb0C (mean\uffc2\uffa0=\uffc2\uffa03.0\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.1\uffc2\uffb0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.3\uffc2\uffb0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (\uffe2\uff88\uff920.7\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.3\uffc2\uffb0C). The observed substantial and biome\uffe2\uff80\uff90specific offsets emphasize that the projected impacts of climate and climate change on near\uffe2\uff80\uff90surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil\uffe2\uff80\uff90related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.</p", "keywords": ["0106 biological sciences", "Bioclimatic variables; Global maps; Microclimate; Near-surface temperatures; Soil temperature; Soil-dwelling organisms; Temperature offset; Weather stations; Climate change; Temperature; Ecosystem; Soil", "791", "550", ":Zoology and botany: 480 [VDP]", "VDP::Zoologiske og botaniske fag: 480", "551", "Q1", "7. Clean energy", "01 natural sciences", "41 Environmental sciences", "Global map", "SDG 13 - Climate Action", "Soil temperature", "MICROCLIMATE", "bepress|Physical Sciences and Mathematics|Environmental Sciences", "soil-dwelling organism", "bioclimatic variables; global maps; microclimate; near-surface temperatures; soil temperature; soil-dwelling organisms; temperature offset; weather stations", "weather station", "GB", "http://aims.fao.org/aos/agrovoc/c_34836", "Geology", "16. Peace & justice", "Settore BIOS-01/C - Botanica ambientale e applicata", "6. Clean water", "Near-surface soil temperature", "international", "[SDE]Environmental Sciences", "551: Geologie und Hydrologie", "Near-surface temperature", "Near-surface temperatures", "soil temperature", "P40 - M\u00e9t\u00e9orologie et climatologie", "577", "bepress|Physical Sciences and Mathematics|Earth Sciences", "MITIGATION", "bepress|Life Sciences|Ecology and Evolutionary Biology", "12. Responsible consumption", "near-surface temperatures", "bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology|Climate", "bioclimatic variables", "Bioclimatic variables", "Settore BIO/07 - ECOLOGIA", "temperature offset", "global maps", "http://aims.fao.org/aos/agrovoc/c_1344", "577: \u00d6kologie", "global map", "Biology", "Ecosystem", "Ekologi", "http://aims.fao.org/aos/agrovoc/c_24894", "Science & Technology", "ddc:550", "9. Industry and infrastructure", "31 Biological sciences", "Biology and Life Sciences", "Microclimate", "06 Biological Sciences", "15. Life on land", "weather stations", "bepress|Physical Sciences and Mathematics|Environmental Sciences|Environmental Monitoring", "900", "cartographie", "microclimate", "Klimatvetenskap", "[SDE] Environmental Sciences", "Biodiversity & Conservation", "05 Environmental Sciences", "Weather stations", "Temperature offset", "Plan_S-Compliant-OA", "Soil", "bepress|Life Sciences", "Geolog\u00eda", "Research Articles", "info:eu-repo/classification/ddc/570", "changement climatique", "Ecology", "zone climatique", "4. Education", "Temperature", "Biological Sciences", "bioclimatologie", "FOREST", "Weather station", "Chemistry", "Biodiversity Conservation", "Life Sciences & Biomedicine", "bepress|Physical Sciences and Mathematics", "Technology and Engineering", "http://aims.fao.org/aos/agrovoc/c_1669", "bioclimatic variable", "Climate Change", "soil-dwelling organisms", "Environmental Sciences & Ecology", "MOISTURE", "LITTER DECOMPOSITION", "PERMAFROST", "near-surface temperature", "temp\u00e9rature du sol", "bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology", "SUITABILITY", "G1", "VDP::Mathematics and natural scienses: 400::Zoology and botany: 480", "Global maps", "http://aims.fao.org/aos/agrovoc/c_1666", ":Zoologiske og botaniske fag: 480 [VDP]", "Soil-dwelling organisms", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "r\u00e9chauffement global", "Climate Change; Ecosystem; Microclimate; Soil; Temperature; bioclimatic variables; global maps; microclimate; near-surface temperatures; soil temperature; soil-dwelling organisms; temperature offset; weather stations", "http://aims.fao.org/aos/agrovoc/c_9260", "P30 - Sciences et am\u00e9nagement du sol", "Aquatic Ecology", "Bioclimatic variable", "SNOW-COVER", "Climate Science", "37 Earth sciences", "Climate Action", "bepress|Physical Sciences and Mathematics|Earth Sciences|Soil Science", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "Earth sciences", "variation saisonni\u00e8re", "PLANT-RESPONSES", "CLIMATIC CONTROLS", "Soil-dwelling organism", "Settore BIOS-05/A - Ecologia", "13. Climate action", "Earth and Environmental Sciences", "VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480", "VDP::Zoology and botany: 480", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "CBCE", "http://aims.fao.org/aos/agrovoc/c_7197", "Environmental Sciences"]}, "links": [{"href": "https://ray.yorksj.ac.uk/id/eprint/5803/1/20211222_SoilTemp_maps_preformatted.pdf"}, {"href": "http://dspace.stir.ac.uk/bitstream/1893/33794/1/Lembrechts-etal-GCB-2022.pdf"}, {"href": "https://eprints.whiterose.ac.uk/183991/1/Global%20Change%20Biology%20-%202022%20-%20Lembrechts%20-%20Global%20maps%20of%20soil%20temperature.pdf"}, {"href": "https://iris.cnr.it/bitstream/20.500.14243/445619/1/prod_462419-doc_189996.pdf"}, {"href": "https://openpub.fmach.it/bitstream/10449/74200/1/Global%20Change%20Biology%20-%202022%20-%20Lembrechts%20-%20Global%20maps%20of%20soil%20temperature.pdf"}, {"href": "https://iris.unica.it/bitstream/11584/332967/1/2022_Global_maps_soil_temperature_GlobalChangeBiology.pdf"}, {"href": "https://ricerca.univaq.it/bitstream/11697/178559/2/Global%20Change%20Biology%20-%202022%20-%20Lembrechts%20-%20Global%20maps%20of%20soil%20temperature.pdf"}, {"href": "https://vb.gamtc.lt/object/elaba:126634244/126634244.pdf"}, {"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.16060"}, {"href": "https://escholarship.org/content/qt6hg3313z/qt6hg3313z.pdf"}, {"href": "https://doi.org/1893/33794"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1893/33794", "name": "item", "description": "1893/33794", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1893/33794"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-21T00:00:00Z"}}, {"id": "50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:25:49Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km(2) resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km(2) pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10 degrees C (mean = 3.0 +/- 2.1 degrees C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 +/- 2.3 degrees C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 +/- 2.3 degrees C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["Technology and Engineering", "soil temperature", "Biology and Life Sciences", "soil-dwelling organisms", "SNOW-COVER", "MITIGATION", "MOISTURE", "FOREST", "weather stations", "LITTER DECOMPOSITION", "PERMAFROST", "near-surface temperatures", "PLANT-RESPONSES", "bioclimatic variables", "CLIMATIC CONTROLS", "Earth and Environmental Sciences", "temperature offset", "SUITABILITY", "global maps", "MICROCLIMATE", "CBCE", "microclimate"]}, "links": [{"href": "https://doi.org/50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b"}, {"rel": "self", "type": "application/geo+json", "title": "50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b", "name": "item", "description": "50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Technology+and+Engineering&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=Technology+and+Engineering&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Technology+and+Engineering&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Technology+and+Engineering&offset=16", "hreflang": "en-US"}], "numberMatched": 16, "numberReturned": 16, "distributedFeatures": [], "timeStamp": "2026-05-25T00:01:23.272736Z"}