{"type": "FeatureCollection", "features": [{"id": "10.1002/2016rg000543", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:14:00Z", "type": "Journal Article", "created": "2017-03-23", "title": "A review of spatial downscaling of satellite remotely sensed soil moisture", "description": "Abstract

Satellite remote sensing technology has been widely used to estimate surface soil moisture. Numerous efforts have been devoted to develop global soil moisture products. However, these global soil moisture products, normally retrieved from microwave remote sensing data, are typically not suitable for regional hydrological and agricultural applications such as irrigation management and flood predictions, due to their coarse spatial resolution. Therefore, various downscaling methods have been proposed to improve the coarse resolution soil moisture products. The purpose of this paper is to review existing methods for downscaling satellite remotely sensed soil moisture. These methods are assessed and compared in terms of their advantages and limitations. This review also provides the accuracy level of these methods based on published validation studies. In the final part, problems and future trends associated with these methods are analyzed.

", "keywords": ["TIME-DOMAIN REFLECTOMETRY", "550", "IN-SITU", "downscaling", "MODIS TOA RADIANCES", "AMSR-E", "15. Life on land", "551", "01 natural sciences", "LAND-SURFACE TEMPERATURE", "REMEDHUS NETWORK SPAIN", "6. Clean water", "3. Good health", "[SDU] Sciences of the Universe [physics]", "L-BAND RADIOMETER", "remote sensing", "EVAPORATIVE FRACTION", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "Earth and Environmental Sciences", "soil moisture", "SOUTHERN GREAT-PLAINS", "spatial resolution", "HIGH-RESOLUTION", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2016RG000543"}, {"href": "https://doi.org/10.1002/2016rg000543"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Reviews%20of%20Geophysics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2016rg000543", "name": "item", "description": "10.1002/2016rg000543", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2016rg000543"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-04-18T00:00:00Z"}}, {"id": "10.1007/s00216-022-03943-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:14:22Z", "type": "Journal Article", "created": "2022-02-09", "title": "Systematic identification of trimethoprim metabolites in lettuce", "description": "Abstract

Antibiotics are some of the most widely used drugs. Their release in the environment is of great concern since their consumption is a major factor for antibiotic resistance, one of the most important threats to human health. Their occurrence and fate in agricultural systems have been extensively investigated in recent years. Yet whilst their biotic and abiotic degradation pathways have been thoroughly researched, their biotransformation pathways in plants are less understood, such as in case of trimethoprim. Although trimethoprim has been reported in the environment, its fate in higher plants still remains unknown. A bench-scale experiment was performed and 30 trimethoprim metabolites were identified in lettuce (Lactuca sativa L.), of which 5 belong to phase I and 25 to phase II. Data mining yielded a list of 1018 ions as possible metabolite candidates, which was filtered to a final list of 87 candidates. Molecular structures were assigned for 19 compounds, including 14 TMP metabolites reported for the first time. Alongside well-known biotransformation pathways in plants, additional novel pathways were suggested, namely, conjugation with sesquiterpene lactones, and abscisic acid as a part of phase II of plant metabolism. The results obtained offer insight into the variety of phase II conjugates and may serve as a guideline for studying the metabolization of other chemicals that share a similar molecular structure or functional groups with trimethoprim. Finally, the toxicity and potential contribution of the identified metabolites to the selective pressure on antibiotic resistance genes and bacterial communities via residual antimicrobial activity were evaluated.

", "keywords": ["2. Zero hunger", "High-resolution mass spectrometry", "Phytochemicals", "0211 other engineering and technologies", "02 engineering and technology", "01 natural sciences", "Trimethoprim", "Anti-Bacterial Agents", "3. Good health", "Conjugates", "Antibiotics", "Non-target screening", "Humans", "Plant metabolites", "Biotransformation", "Research Paper", "Lactuca", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Tadi\u0107, \u0110or\u0111e, Gramblicka, Michal, Mistrik, Robert, Bayona, Josep Maria,", "roles": ["creator"]}]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1007/s00216-022-03943-6.pdf"}, {"href": "https://doi.org/10.1007/s00216-022-03943-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Analytical%20and%20Bioanalytical%20Chemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00216-022-03943-6", "name": "item", "description": "10.1007/s00216-022-03943-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00216-022-03943-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-09T00:00:00Z"}}, {"id": "10.1016/j.envpol.2020.114002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:06Z", "type": "Journal Article", "created": "2020-01-21", "title": "Elucidating biotransformation pathways of ofloxacin in lettuce (Lactuca sativa L)", "description": "Antibiotics can be uptaken by plants from soil desorption or directly from irrigation water, but their metabolization pathways in plants are largely unknown. In this paper, an analytical workflow based on high-resolution mass spectrometry was applied for the systematic identification of biotransformation products of ofloxacin in lettuce. The targeted metabolites were selected by comparing the mass chromatograms of exposed with control samples using an advanced spectra-processing method (Fragment Ion Search). The innovative methodology presented allowed us to identify a total of 11 metabolites, including 5 ofloxacin metabolites that are being reported for the first time in plants. Accordingly, major transformation pathways were proposed revealing insight into how ofloxacin and related chemicals are metabolized in lettuce. Furthermore, the influence of biotransformation on potential residual antimicrobial activity of identified compounds was discussed. Human exposure to antibiotics at doses below the minimum inhibitory concentrations is crucial in human risk assessment, including food ingestion; however, in the case of ofloxacin presented results reveal that plant metabolites should also be considered so as not to underestimate their risk.", "keywords": ["High-resolution mass spectrometry", "Ofloxacin", "0211 other engineering and technologies", "02 engineering and technology", "Biotransformation pathways", "01 natural sciences", "6. Clean water", "Anti-Bacterial Agents", "Antibiotics", "Humans", "Plant metabolites", "Biotransformation", "Lactuca", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2020.114002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envpol.2020.114002", "name": "item", "description": "10.1016/j.envpol.2020.114002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2020.114002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-01T00:00:00Z"}}, {"id": "10.1016/j.envpol.2021.117927", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:06Z", "type": "Journal Article", "created": "2021-08-07", "title": "Groundwater antibiotic pollution and its relationship with dissolved organic matter: Identification and environmental implications", "description": "The occurrence of veterinary antibiotics and hydro-chemical parameters in eleven natural springs in a livestock production area is evaluated, jointly with the characterization of their DOM fingerprint by Orbitrap HRMS. Tetracycline and sulfonamide antibiotics were ubiquitous in all sites, and they were detected at low ng L-1 concentrations, except for doxycycline, that was present at \u03bcg L-1 in one location. DOM analysis revealed that most molecular formulas were CHO compounds (49 %-68\u00a0%), with a remarkable percentage containing nitrogen and sulphur (16 %-23\u00a0% and 11 %-24\u00a0%, respectively). Major DOM components were phenolic and highly unsaturated compounds (~90\u00a0%), typical for soil-derived organic matter, while approximately 11\u00a0% were unsaturated aliphatic, suggesting that springs may be susceptible to anthropogenic contamination sources. Comparing the DOM fingerprint among sites, the spring showing the most different profile was the one with surface water interaction and characterized by having lower CHO and higher CHOS formulas and aliphatic compounds. Correlations between antibiotics and DOM showed that tetracyclines positively correlate with unsaturated oxygen-rich substances, while sulfonamides relate with aliphatic and unsaturated oxygen-poor compounds. This indicates that the fate of different antibiotics will be controlled by the type of DOM present in groundwater.", "keywords": ["High-resolution mass spectrometry", "550", "Contaminants emergents en l'aigua", "Antibi\u00f2tics", "02 engineering and technology", "01 natural sciences", "630", "Soil", "Antibiotics", "Co-transport", "Groundwater -- Pollution", "Dissolved organic matter", "Groundwater", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Emerging contaminants in water", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Anti-Bacterial Agents", "Water quality", "13. Climate action", "Aig\u00fces subterr\u00e0nies -- Contaminaci\u00f3", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "0210 nano-technology", "environment", "Water Pollutants", " Chemical", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2021.117927"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envpol.2021.117927", "name": "item", "description": "10.1016/j.envpol.2021.117927", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2021.117927"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-01T00:00:00Z"}}, {"id": "10.1021/acs.jafc.3c04532", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:15Z", "type": "Journal Article", "created": "2023-10-05", "title": "Ultra-high Performance Liquid Chromatography\u2013Ion Mobility\u2013High-Resolution Mass Spectrometry to Evaluate the Metabolomic Response of Durum Wheat to Sustainable Treatments", "description": "Sustainable agriculture aims at achieving a healthy food production while reducing the use of fertilizers and greenhouse gas emissions using biostimulants and soil amendments. Untargeted metabolomics by ultra-high performance liquid chromatography-ion mobility-high-resolution mass spectrometry, operating in a high-definition MSE mode, was applied to investigate the metabolome of durum wheat in response to sustainable treatments, i.e., the addition of biochar, commercial plant growth promoting microbes, and their combination. Partial least squares-discriminant analysis provided a good discrimination among treatments with sensitivity, specificity, and a non-error rate close to 1. A total of 88 and 45 discriminant compounds having biological, nutritional, and technological implications were tentatively identified in samples grown in 2020 and 2021. The addition of biochar-biostimulants produced the highest up-regulation of lipids and flavonoids, with the glycolipid desaturation being the most impacted pathway, whereas carbohydrates were mostly down-regulated. The findings achieved suggest the safe use of the combined biochar-biostimulant treatment for sustainable wheat cultivation.", "keywords": ["2. Zero hunger", "Settore CHEM-01/A - Chimica analitica", "630", "Mass Spectrometry", "12. Responsible consumption", "ultra-high performance liquid chromatography\u2212high-resolution mass spectrometry ion mobility untargeted metabolomics multivariate data analysis durum wheat biostimulants soil amendments", "13. Climate action", "Settore AGRI-06/A - Genetica agraria", "615", "Metabolomics", "ultra-high performance liquid chromatography\u2013high-resolution mass spectrometry ion mobility untargeted metabolomics multivariate data analysis durum wheat biostimulants soil amendments", "Settore BIOS-10/A - Biologia cellulare e applicata", "Chromatography", " High Pressure Liquid", "Triticum"]}, "links": [{"href": "https://pubs.acs.org/doi/pdf/10.1021/acs.jafc.3c04532"}, {"href": "https://doi.org/10.1021/acs.jafc.3c04532"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Agricultural%20and%20Food%20Chemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1021/acs.jafc.3c04532", "name": "item", "description": "10.1021/acs.jafc.3c04532", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1021/acs.jafc.3c04532"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-05T00:00:00Z"}}, {"id": "10.1111/ejss.70132", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:25Z", "type": "Journal Article", "created": "2025-06-14", "title": "An Open Framework for Downscaling Soil Carbon and Clay Maps Using Sensor Data: Five Case Studies Across Diverse European Landscapes", "description": "ABSTRACT

Sustainable soil management is recognised as a pivotal solution for addressing current and future global challenges, but existing global and national soil property maps often lack the fine\uffe2\uff80\uff90scale resolution required for local or intra\uffe2\uff80\uff90field assessments. Here, we aimed to develop an open access framework to downscale soil property maps using remote and proximal sensor data and test it for predicting soil organic carbon (SOC) and clay across different regions of Europe. To facilitate the dissemination of this framework, we developed the R package \uffe2\uff80\uff9c soilscaler \uffe2\uff80\uff9d, which contains integrated functions for producing downscaled soil maps. This approach uses coarse resolution maps as a baseline, incorporating sensor data and soil observations to train a model explaining local variation of soil properties. We tested the framework in Denmark, Northern Ireland, Lithuania, The Netherlands, and Turkey. For comparison, we also created high\uffe2\uff80\uff90resolution maps using a conventional digital soil mapping (DSM) approach for each field independently. We found that the downscaling performance depends on the quality of the coarse\uffe2\uff80\uff90resolution soil maps, the spatial variability of soil properties within a given field, and the range of inter\uffe2\uff80\uff90field variations in each country. Although the downscaling process showed lower performance than the conventional DSM approach, the results indicate that the downscaled maps better represent local variability than existing national and global soil maps. Additionally, we found that remote sensing sensors generally better represent the spatial distribution of SOC, while proximal soil sensors better capture clay contents. Future studies should focus on gathering more sensor data and correlating it with soil properties to improve predictions based solely on sensor data.

How the multiple facets of soil fungal diversity vary worldwide remains virtually unknown, hindering the management of this essential species-rich group. By sequencing high-resolution DNA markers in over 4000 topsoil samples from natural and human-altered ecosystems across all continents, we illustrate the distributions and drivers of different levels of taxonomic and phylogenetic diversity of fungi and their ecological groups. We show the impact of precipitation and temperature interactions on local fungal species richness (alpha diversity) across different climates. Our findings reveal how temperature drives fungal compositional turnover (beta diversity) and phylogenetic diversity, linking them with regional species richness (gamma diversity). We integrate fungi into the principles of global biodiversity distribution and present detailed maps for biodiversity conservation and modeling of global ecological processes.

", "keywords": ["Supplementary Data", "biodiversity", " fungi", " ecology", "QH301 Biology", "Diversity (politics)", "Plant Science", "Biodiversity conservation", "Fungal Diversity", "Agricultural and Biological Sciences", "Soil", "Life", "Sociology", "WATER", "Global biodiversity distribution", "Fungal diversity", "Phylogeny", "Soil Microbiology", "2. Zero hunger", "Multidisciplinary", "Earth", " Environmental", " Ecological", " and Space Sciences", "Geography", "Ecology", "soil fungal diversity", "4. Education", "SPECIES RICHNESS", "Life Sciences", "https://www.science.org/doi/suppl/10.1126/sciadv.adj8016/suppl_file/sciadv.adj8016_sm.pdf", "Biodiversity", "FOS: Sociology", "global biodiversity distribution", "sienet", "https://www.science.org/doi/suppl/10.1126/sciadv.adj8016/suppl_file/sciadv.adj8016_tables_s1_to_s13.zip", "Diversity and Evolution of Fungal Pathogens", "570", "Supplementary Information", "DNA markers", "QH301", "Sequencing high-resolution DNA", "Biochemistry", " Genetics and Molecular Biology", "monimuotoisuus", "Mycorrhizal Fungi and Plant Interactions", "Life Science", "Humans", "14. Life underwater", "General", "Global ecological processes", "Biology", "Ecosystem", "Ecology", " Evolution", " Behavior and Systematics", "global ecological processes", "Soil fungal diversity", "microbiology", "Fungi", "Water", "Cell Biology", "15. Life on land", "luonnon monimuotoisuus", "Agronomy", "biodiversiteetti", "LIFE", "ekosysteemit (ekologia)", "Evolution and Ecology of Endophyte-Grass Symbiosis", "13. Climate action", "Ecology", " evolutionary biology", "Earth and Environmental Sciences", "FOS: Biological sciences", "Anthropology", "ta1181", "biodiversity conservation", "Species richness"]}, "links": [{"href": "https://www.science.org/doi/epdf/10.1126/sciadv.adj8016"}, {"href": "https://www.science.org/doi/pdf/10.1126/sciadv.adj8016"}, {"href": "https://doi.org/10.1126/sciadv.adj8016"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20Advances", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1126/sciadv.adj8016", "name": "item", "description": "10.1126/sciadv.adj8016", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1126/sciadv.adj8016"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-01T00:00:00Z"}}, {"id": "10.3389/fpls.2021.698640", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:18Z", "type": "Journal Article", "created": "2021-08-06", "title": "High-Resolution X-Ray Computed Tomography: A New Workflow for the Analysis of Xylogenesis and Intra-Seasonal Wood Biomass Production", "description": "

Understanding tree growth and carbon sequestration are of crucial interest to forecast the feedback of forests to climate change. To have a global understanding of the wood formation, it is necessary to develop new methodologies for xylogenesis measurements, valid across diverse wood structures and applicable to both angiosperms and gymnosperms. In this study, the authors present a new workflow to study xylogenesis using high-resolution X-ray computed tomography (HRXCT), which is generic and offers high potential for automatization. The HXRCT-based approach was benchmarked with the current classical approach (microtomy) on three tree species with contrasted wood anatomy (Pinus nigra, Fagus sylvatica, and Quercus robur). HRXCT proved to estimate the relevant xylogenesis parameters (timing, duration, and growth rates) across species with high accuracy. HRXCT showed to be an efficient avenue to investigate tree xylogenesis for a wide range of wood anatomies, structures, and species. HRXCT also showed its potential to provide quantification of intra-annual dynamics of biomass production through high-resolution 3D mapping of wood biomass within the forming growth ring.

", "keywords": ["0106 biological sciences", "[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics", "XYLEM", "tree growth", "secondary growth phenology", "Plant Science", "01 natural sciences", "7. Clean energy", "[SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics", "SB1-1110", "Tree growth", "Secondary growth phenology", "microtomy", "PHENOLOGY", "[SDV.BID.SPT] Life Sciences [q-bio]/Biodiversity/Systematics", " Phylogenetics and taxonomy", "FAGUS-SYLVATICA", "[SDV.EE.ECO] Life Sciences [q-bio]/Ecology", " environment/Ecosystems", "Biology", "TREE", "Xylogenesis", "580", "xylogenesis", "high-resolution X-ray computed tomography", "Biology and Life Sciences", "Plant culture", "Phylogenetics and taxonomy", "Microtomy", "[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics", "15. Life on land", "BEECH", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "13. Climate action", "[SDV.EE.ECO]Life Sciences [q-bio]/Ecology", "PLANT STRUCTURE", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "environment/Ecosystems", "Engineering sciences. Technology"]}, "links": [{"href": "https://doi.org/10.3389/fpls.2021.698640"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fpls.2021.698640", "name": "item", "description": "10.3389/fpls.2021.698640", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fpls.2021.698640"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-06T00:00:00Z"}}, {"id": "10.3390/rs11091138", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:32Z", "type": "Journal Article", "created": "2019-05-13", "title": "Advances in the Remote Sensing of Terrestrial Evaporation", "description": "

Characterizing the terrestrial carbon, water, and energy cycles depends strongly on a capacity to accurately reproduce the spatial and temporal dynamics of land surface evaporation. For this, and many other reasons, monitoring terrestrial evaporation across multiple space and time scales has been an area of focused research for a number of decades. Much of this activity has been supported by developments in satellite remote sensing, which have been leveraged to deliver new process insights, model development and methodological improvements. In this Special Issue, published contributions explored a range of research topics directed towards the enhanced estimation of terrestrial evaporation. Here we summarize these cutting-edge efforts and provide an overview of some of the state-of-the-art approaches for retrieving this key variable. Some perspectives on outstanding challenges, issues, and opportunities are also presented.

", "keywords": ["Atmospheric sciences", "CubeSats", "Life on Land", "Classical Physics", "Science", "0207 environmental engineering", "02 engineering and technology", "high-resolution", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Article", "evaporation", "land surface modeling", "remote sensing", "Engineering", "novel sensing", "Physical geography and environmental geoscience", "0105 earth and related environmental sciences", "Earth observation", "Q", "Geomatic engineering", "15. Life on land", "Geomatic Engineering", "land surface flux", "13. Climate action", "cubesats"]}, "links": [{"href": "https://www.mdpi.com/2072-4292/11/9/1138/pdf"}, {"href": "https://escholarship.org/content/qt1sh5v7hp/qt1sh5v7hp.pdf"}, {"href": "https://doi.org/10.3390/rs11091138"}, {"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": "10.3390/rs11091138", "name": "item", "description": "10.3390/rs11091138", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs11091138"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-13T00:00:00Z"}}, {"id": "10.3390/metabo11070438", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:29Z", "type": "Journal Article", "created": "2021-07-05", "title": "Metabolomic Approaches to Studying the Response to Drought Stress in Corn (Zea mays) Cobs", "description": "

Metabolomics is a technique that allows for the evaluation of the entire extractable chemical profile of a plant, for example, using high-resolution mass spectrometry (HRMS) and can be used to evaluate plant stress responses, such as those due to drought. Metabolomic analysis is dependent upon the efficiency of the extraction protocol. Currently, there are two common extraction procedures widely used in metabolomic experiments, those that extract from plant tissue processed in liquid nitrogen or extraction from lyophilised plant tissues. Here, we evaluated the two using non-targeted metabolomics to show that lyophilisation can stabilise the maize (Zea mays) extractable metabolome, increasing throughput and efficiency of extraction as compared to the more traditional processing in liquid nitrogen. Then, we applied the lyophilisation approach to explore the effect of drought upon the maize metabolome in a non-targeted HRMS metabolomics approach. Metabolomics revealed differences in the mature maize metabolome having undergone three drought conditions imposed at two critical development stages (three-leaf stage and grain-fill stage); moreover, this difference was observed across two tissue types (kernel and inner cob/pith). It was shown that under ideal conditions, the biochemical make-up of the tissue types is different. However, under stress conditions, the stress response dominates the metabolic profile. Drought-related metabolites known from other plant systems have been identified and metabolomics has revealed potential novel drought-stress indicators in our maize system.

", "keywords": ["2. Zero hunger", "0301 basic medicine", "0303 health sciences", "abiotic stress", "1312", "2712", "1303", "15. Life on land", "maize", "metabolomics", "LC\u2013MS", "Microbiology", "QR1-502", "Article", "6. Clean water", "03 medical and health sciences", "climate change", "maize; metabolomics; LC\u2013MS; high-resolution mass spectrometry; abiotic stress; climate change", "high-resolution mass spectrometry"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/175862/1/metabolites_11_00438.pdf"}, {"href": "http://www.mdpi.com/2218-1989/11/7/438/pdf"}, {"href": "https://doi.org/10.3390/metabo11070438"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Metabolites", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/metabo11070438", "name": "item", "description": "10.3390/metabo11070438", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/metabo11070438"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-03T00:00:00Z"}}, {"id": "10.5194/gmd-2021-98", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:18Z", "type": "Journal Article", "created": "2021-11-30", "title": "Performance analysis of regional AquaCrop (v6.1) biomass and surface soil moisture simulations using satellite and in situ observations", "description": "

Abstract. The current intensive use of agricultural land is affecting the land quality and contributes to climate change. Feeding the world's growing population under changing climatic conditions demands a global transition to more sustainable agricultural systems. This requires efficient models and data to monitor land cultivation practices at the field to global scale. This study outlines a spatially distributed version of the field-scale crop model AquaCrop version 6.1 to simulate agricultural biomass production and soil moisture variability over Europe at a relatively fine resolution of 30\u2009arcsec (\u223c1\u2009km). A highly efficient parallel processing system is implemented to run the model regionally with global meteorological input data from the Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2), soil textural information from the Harmonized World Soil Database version 1.2 (HWSDv1.2), and generic crop information. The setup with a generic crop is chosen as a baseline for a future satellite-based data assimilation system. The relative temporal variability in daily crop biomass production is evaluated with the Copernicus Global Land Service dry matter productivity (CGLS-DMP) data. Surface soil moisture is compared against NASA Soil Moisture Active\u2013Passive surface soil moisture (SMAP-SSM) retrievals, the Copernicus Global Land Service surface soil moisture (CGLS-SSM) product derived from Sentinel-1, and in situ data from the International Soil Moisture Network (ISMN). Over central Europe, the regional AquaCrop model is able to capture the temporal variability in both biomass production and soil moisture, with a spatial mean temporal correlation of 0.8 (CGLS-DMP), 0.74 (SMAP-SSM), and 0.52 (CGLS-SSM). The higher performance when evaluating with SMAP-SSM compared to Sentinel-1 CGLS-SSM is largely due to the lower quality of CGLS-SSM satellite retrievals under growing vegetation. The regional model further captures the short-term and inter-annual variability, with a mean anomaly correlation of 0.46 for daily biomass and mean anomaly correlations of 0.65 (SMAP-SSM) and 0.50 (CGLS-SSM) for soil moisture. It is shown that soil textural characteristics and irrigated areas influence the model performance. Overall, the regional AquaCrop model adequately simulates crop production and soil moisture and provides a suitable setup for subsequent satellite-based data assimilation.

", "keywords": ["YIELD RESPONSE", "2. Zero hunger", "LAND", "QE1-996.5", "Science & Technology", "PRODUCTIVITY", "04 Earth Sciences", "0207 environmental engineering", "UNCERTAINTY", "Geology", "02 engineering and technology", "15. Life on land", "7. Clean energy", "01 natural sciences", "WHEAT YIELD", "37 Earth sciences", "DATA ASSIMILATION", "13. Climate action", "ASSESSMENTS", "Physical Sciences", "IMPLEMENTATION", "FAO CROP MODEL", "Geosciences", " Multidisciplinary", "HIGH-RESOLUTION", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://gmd.copernicus.org/articles/14/7309/2021/gmd-14-7309-2021.pdf"}, {"href": "https://doi.org/10.5194/gmd-2021-98"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-2021-98", "name": "item", "description": "10.5194/gmd-2021-98", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-2021-98"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-17T00:00:00Z"}}, {"id": "10256/20664", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:45Z", "type": "Journal Article", "created": "2021-08-07", "title": "Groundwater antibiotic pollution and its relationship with dissolved organic matter: Identification and environmental implications", "description": "The occurrence of veterinary antibiotics and hydro-chemical parameters in eleven natural springs in a livestock production area is evaluated, jointly with the characterization of their DOM fingerprint by Orbitrap HRMS. Tetracycline and sulfonamide antibiotics were ubiquitous in all sites, and they were detected at low ng L-1 concentrations, except for doxycycline, that was present at \u03bcg L-1 in one location. DOM analysis revealed that most molecular formulas were CHO compounds (49 %-68\u00a0%), with a remarkable percentage containing nitrogen and sulphur (16 %-23\u00a0% and 11 %-24\u00a0%, respectively). Major DOM components were phenolic and highly unsaturated compounds (~90\u00a0%), typical for soil-derived organic matter, while approximately 11\u00a0% were unsaturated aliphatic, suggesting that springs may be susceptible to anthropogenic contamination sources. Comparing the DOM fingerprint among sites, the spring showing the most different profile was the one with surface water interaction and characterized by having lower CHO and higher CHOS formulas and aliphatic compounds. Correlations between antibiotics and DOM showed that tetracyclines positively correlate with unsaturated oxygen-rich substances, while sulfonamides relate with aliphatic and unsaturated oxygen-poor compounds. This indicates that the fate of different antibiotics will be controlled by the type of DOM present in groundwater.", "keywords": ["High-resolution mass spectrometry", "550", "Contaminants emergents en l'aigua", "Antibi\u00f2tics", "02 engineering and technology", "01 natural sciences", "630", "Soil", "Antibiotics", "Groundwater -- Pollution", "Co-transport", "Dissolved organic matter", "Groundwater", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Emerging contaminants in water", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Anti-Bacterial Agents", "Water quality", "13. Climate action", "Aig\u00fces subterr\u00e0nies -- Contaminaci\u00f3", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "0210 nano-technology", "environment", "Water Pollutants", " Chemical", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10256/20664"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10256/20664", "name": "item", "description": "10256/20664", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10256/20664"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-01T00:00:00Z"}}, {"id": "20.500.14017/cddeded8-2ef5-4f98-a327-9b94e00ba846", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:32Z", "type": "Journal Article", "created": "2021-11-30", "title": "Performance analysis of regional AquaCrop (v6.1) biomass and surface soil moisture simulations using satellite and in situ observations", "description": "

Abstract. The current intensive use of agricultural land is affecting the land quality and contributes to climate change. Feeding the world's growing population under changing climatic conditions demands a global transition to more sustainable agricultural systems. This requires efficient models and data to monitor land cultivation practices at the field to global scale. This study outlines a spatially distributed version of the field-scale crop model AquaCrop version 6.1 to simulate agricultural biomass production and soil moisture variability over Europe at a relatively fine resolution of 30\u2009arcsec (\u223c1\u2009km). A highly efficient parallel processing system is implemented to run the model regionally with global meteorological input data from the Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2), soil textural information from the Harmonized World Soil Database version 1.2 (HWSDv1.2), and generic crop information. The setup with a generic crop is chosen as a baseline for a future satellite-based data assimilation system. The relative temporal variability in daily crop biomass production is evaluated with the Copernicus Global Land Service dry matter productivity (CGLS-DMP) data. Surface soil moisture is compared against NASA Soil Moisture Active\u2013Passive surface soil moisture (SMAP-SSM) retrievals, the Copernicus Global Land Service surface soil moisture (CGLS-SSM) product derived from Sentinel-1, and in situ data from the International Soil Moisture Network (ISMN). Over central Europe, the regional AquaCrop model is able to capture the temporal variability in both biomass production and soil moisture, with a spatial mean temporal correlation of 0.8 (CGLS-DMP), 0.74 (SMAP-SSM), and 0.52 (CGLS-SSM). The higher performance when evaluating with SMAP-SSM compared to Sentinel-1 CGLS-SSM is largely due to the lower quality of CGLS-SSM satellite retrievals under growing vegetation. The regional model further captures the short-term and inter-annual variability, with a mean anomaly correlation of 0.46 for daily biomass and mean anomaly correlations of 0.65 (SMAP-SSM) and 0.50 (CGLS-SSM) for soil moisture. It is shown that soil textural characteristics and irrigated areas influence the model performance. Overall, the regional AquaCrop model adequately simulates crop production and soil moisture and provides a suitable setup for subsequent satellite-based data assimilation.

", "keywords": ["YIELD RESPONSE", "2. Zero hunger", "LAND", "QE1-996.5", "Science & Technology", "PRODUCTIVITY", "04 Earth Sciences", "0207 environmental engineering", "UNCERTAINTY", "Geology", "02 engineering and technology", "15. Life on land", "7. Clean energy", "01 natural sciences", "WHEAT YIELD", "37 Earth sciences", "DATA ASSIMILATION", "13. Climate action", "ASSESSMENTS", "Physical Sciences", "IMPLEMENTATION", "FAO CROP MODEL", "Geosciences", " Multidisciplinary", "HIGH-RESOLUTION", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://gmd.copernicus.org/articles/14/7309/2021/gmd-14-7309-2021.pdf"}, {"href": "https://doi.org/20.500.14017/cddeded8-2ef5-4f98-a327-9b94e00ba846"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.14017/cddeded8-2ef5-4f98-a327-9b94e00ba846", "name": "item", "description": "20.500.14017/cddeded8-2ef5-4f98-a327-9b94e00ba846", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.14017/cddeded8-2ef5-4f98-a327-9b94e00ba846"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-17T00:00:00Z"}}, {"id": "10261/377128", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:52Z", "type": "Journal Article", "created": "2021-08-07", "title": "Groundwater antibiotic pollution and its relationship with dissolved organic matter: Identification and environmental implications", "description": "The occurrence of veterinary antibiotics and hydro-chemical parameters in eleven natural springs in a livestock production area is evaluated, jointly with the characterization of their DOM fingerprint by Orbitrap HRMS. Tetracycline and sulfonamide antibiotics were ubiquitous in all sites, and they were detected at low ng L-1 concentrations, except for doxycycline, that was present at \u03bcg L-1 in one location. DOM analysis revealed that most molecular formulas were CHO compounds (49 %-68\u00a0%), with a remarkable percentage containing nitrogen and sulphur (16 %-23\u00a0% and 11 %-24\u00a0%, respectively). Major DOM components were phenolic and highly unsaturated compounds (~90\u00a0%), typical for soil-derived organic matter, while approximately 11\u00a0% were unsaturated aliphatic, suggesting that springs may be susceptible to anthropogenic contamination sources. Comparing the DOM fingerprint among sites, the spring showing the most different profile was the one with surface water interaction and characterized by having lower CHO and higher CHOS formulas and aliphatic compounds. Correlations between antibiotics and DOM showed that tetracyclines positively correlate with unsaturated oxygen-rich substances, while sulfonamides relate with aliphatic and unsaturated oxygen-poor compounds. This indicates that the fate of different antibiotics will be controlled by the type of DOM present in groundwater.", "keywords": ["High-resolution mass spectrometry", "550", "Contaminants emergents en l'aigua", "Antibi\u00f2tics", "02 engineering and technology", "01 natural sciences", "630", "Soil", "Antibiotics", "Co-transport", "Groundwater -- Pollution", "Dissolved organic matter", "Groundwater", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Emerging contaminants in water", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Anti-Bacterial Agents", "Water quality", "13. Climate action", "Aig\u00fces subterr\u00e0nies -- Contaminaci\u00f3", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "0210 nano-technology", "environment", "Water Pollutants", " Chemical", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10261/377128"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/377128", "name": "item", "description": "10261/377128", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/377128"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-01T00:00:00Z"}}, {"id": "11381/2960672", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:06Z", "type": "Journal Article", "created": "2023-10-05", "title": "Ultra-high Performance Liquid Chromatography\u2013Ion Mobility\u2013High-Resolution Mass Spectrometry to Evaluate the Metabolomic Response of Durum Wheat to Sustainable Treatments", "description": "Sustainable agriculture aims at achieving a healthy food production while reducing the use of fertilizers and greenhouse gas emissions using biostimulants and soil amendments. Untargeted metabolomics by ultra-high performance liquid chromatography-ion mobility-high-resolution mass spectrometry, operating in a high-definition MSE mode, was applied to investigate the metabolome of durum wheat in response to sustainable treatments, i.e., the addition of biochar, commercial plant growth promoting microbes, and their combination. Partial least squares-discriminant analysis provided a good discrimination among treatments with sensitivity, specificity, and a non-error rate close to 1. A total of 88 and 45 discriminant compounds having biological, nutritional, and technological implications were tentatively identified in samples grown in 2020 and 2021. The addition of biochar-biostimulants produced the highest up-regulation of lipids and flavonoids, with the glycolipid desaturation being the most impacted pathway, whereas carbohydrates were mostly down-regulated. The findings achieved suggest the safe use of the combined biochar-biostimulant treatment for sustainable wheat cultivation.", "keywords": ["2. Zero hunger", "13. Climate action", "Settore AGRI-06/A - Genetica agraria", "615", "Metabolomics", "Settore CHEM-01/A - Chimica analitica", "Settore BIOS-10/A - Biologia cellulare e applicata", "630", "Chromatography", " High Pressure Liquid", "Triticum", "Mass Spectrometry", "12. Responsible consumption", "ultra-high performance liquid chromatography\u2212high-resolution mass spectrometry ion mobility untargeted metabolomics multivariate data analysis durum wheat biostimulants soil amendments"]}, "links": [{"href": "https://pubs.acs.org/doi/pdf/10.1021/acs.jafc.3c04532"}, {"href": "https://doi.org/11381/2960672"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Agricultural%20and%20Food%20Chemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11381/2960672", "name": "item", "description": "11381/2960672", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11381/2960672"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-05T00:00:00Z"}}, {"id": "1854/LU-8528923", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:18Z", "type": "Journal Article", "created": "2017-03-23", "title": "A review of spatial downscaling of satellite remotely sensed soil moisture", "description": "Abstract

Satellite remote sensing technology has been widely used to estimate surface soil moisture. Numerous efforts have been devoted to develop global soil moisture products. However, these global soil moisture products, normally retrieved from microwave remote sensing data, are typically not suitable for regional hydrological and agricultural applications such as irrigation management and flood predictions, due to their coarse spatial resolution. Therefore, various downscaling methods have been proposed to improve the coarse resolution soil moisture products. The purpose of this paper is to review existing methods for downscaling satellite remotely sensed soil moisture. These methods are assessed and compared in terms of their advantages and limitations. This review also provides the accuracy level of these methods based on published validation studies. In the final part, problems and future trends associated with these methods are analyzed.

How the multiple facets of soil fungal diversity vary worldwide remains virtually unknown, hindering the management of this essential species-rich group. By sequencing high-resolution DNA markers in over 4000 topsoil samples from natural and human-altered ecosystems across all continents, we illustrate the distributions and drivers of different levels of taxonomic and phylogenetic diversity of fungi and their ecological groups. We show the impact of precipitation and temperature interactions on local fungal species richness (alpha diversity) across different climates. Our findings reveal how temperature drives fungal compositional turnover (beta diversity) and phylogenetic diversity, linking them with regional species richness (gamma diversity). We integrate fungi into the principles of global biodiversity distribution and present detailed maps for biodiversity conservation and modeling of global ecological processes.

", "keywords": ["Supplementary Data", "QH301 Biology", "Diversity (politics)", "Plant Science", "Biodiversity conservation", "Fungal Diversity", "Agricultural and Biological Sciences", "Soil", "Life", "Sociology", "WATER", "Global biodiversity distribution", "Fungal diversity", "Phylogeny", "Soil Microbiology", "2. Zero hunger", "Multidisciplinary", "Earth", " Environmental", " Ecological", " and Space Sciences", "Geography", "Ecology", "soil fungal diversity", "4. Education", "SPECIES RICHNESS", "Life Sciences", "https://www.science.org/doi/suppl/10.1126/sciadv.adj8016/suppl_file/sciadv.adj8016_sm.pdf", "Biodiversity", "FOS: Sociology", "global biodiversity distribution", "sienet", "https://www.science.org/doi/suppl/10.1126/sciadv.adj8016/suppl_file/sciadv.adj8016_tables_s1_to_s13.zip", "Diversity and Evolution of Fungal Pathogens", "570", "Supplementary Information", "DNA markers", "QH301", "Sequencing high-resolution DNA", "Biochemistry", " Genetics and Molecular Biology", "monimuotoisuus", "Mycorrhizal Fungi and Plant Interactions", "Life Science", "Humans", "14. Life underwater", "General", "Global ecological processes", "Biology", "Ecosystem", "Ecology", " Evolution", " Behavior and Systematics", "global ecological processes", "Soil fungal diversity", "microbiology", "Fungi", "Water", "Cell Biology", "15. Life on land", "luonnon monimuotoisuus", "Agronomy", "biodiversiteetti", "LIFE", "ekosysteemit (ekologia)", "Evolution and Ecology of Endophyte-Grass Symbiosis", "13. Climate action", "Ecology", " evolutionary biology", "Earth and Environmental Sciences", "FOS: Biological sciences", "Anthropology", "ta1181", "biodiversity conservation", "CBCE", "Species richness"]}, "links": [{"href": "https://www.science.org/doi/epdf/10.1126/sciadv.adj8016"}, {"href": "https://iris.unica.it/bitstream/11584/447894/1/Mikryukov%20et%20al_Science%20Advances%202023.pdf"}, {"href": "https://www.science.org/doi/pdf/10.1126/sciadv.adj8016"}, {"href": "https://doi.org/2164/23373"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20Advances", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2164/23373", "name": "item", "description": "2164/23373", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/23373"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-01T00:00:00Z"}}, {"id": "3182395921", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:25:16Z", "type": "Journal Article", "created": "2021-07-05", "title": "Metabolomic Approaches to Studying the Response to Drought Stress in Corn (Zea mays) Cobs", "description": "

Metabolomics is a technique that allows for the evaluation of the entire extractable chemical profile of a plant, for example, using high-resolution mass spectrometry (HRMS) and can be used to evaluate plant stress responses, such as those due to drought. Metabolomic analysis is dependent upon the efficiency of the extraction protocol. Currently, there are two common extraction procedures widely used in metabolomic experiments, those that extract from plant tissue processed in liquid nitrogen or extraction from lyophilised plant tissues. Here, we evaluated the two using non-targeted metabolomics to show that lyophilisation can stabilise the maize (Zea mays) extractable metabolome, increasing throughput and efficiency of extraction as compared to the more traditional processing in liquid nitrogen. Then, we applied the lyophilisation approach to explore the effect of drought upon the maize metabolome in a non-targeted HRMS metabolomics approach. Metabolomics revealed differences in the mature maize metabolome having undergone three drought conditions imposed at two critical development stages (three-leaf stage and grain-fill stage); moreover, this difference was observed across two tissue types (kernel and inner cob/pith). It was shown that under ideal conditions, the biochemical make-up of the tissue types is different. However, under stress conditions, the stress response dominates the metabolic profile. Drought-related metabolites known from other plant systems have been identified and metabolomics has revealed potential novel drought-stress indicators in our maize system.

", "keywords": ["2. Zero hunger", "0301 basic medicine", "0303 health sciences", "abiotic stress", "1312", "2712", "1303", "15. Life on land", "maize", "metabolomics", "LC\u2013MS", "Microbiology", "QR1-502", "Article", "6. Clean water", "03 medical and health sciences", "climate change", "maize; metabolomics; LC\u2013MS; high-resolution mass spectrometry; abiotic stress; climate change", "high-resolution mass spectrometry"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/175862/1/metabolites_11_00438.pdf"}, {"href": "http://www.mdpi.com/2218-1989/11/7/438/pdf"}, {"href": "https://doi.org/3182395921"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Metabolites", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3182395921", "name": "item", "description": "3182395921", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3182395921"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-03T00:00:00Z"}}, {"id": "PMC8277131", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:27:11Z", "type": "Journal Article", "created": "2021-05-19", "title": "An Automated Methodology for Non-targeted Compositional Analysis of Small Molecules in High Complexity Environmental Matrices Using Coupled Ultra Performance Liquid Chromatography Orbitrap Mass Spectrometry", "description": "Abstract The life-critical matrices of air and water are among the most complex chemical mixtures that are ever encountered. Ultra-high resolution mass spectrometers, such as the Orbitrap, provide unprecedented analytical capabilities to probe the molecular composition of such matrices, but the extraction of non-targeted chemical information is impractical to perform via manual data processing. Automated non-targeted tools rapidly extract the chemical information of all detected compounds within a sample dataset. However, these methods have not been exploited in the environmental sciences. Here, we provide an automated and (for the first time) rigorously tested methodology for the non-targeted compositional analysis of environmental matrices using coupled liquid chromatography-mass spectrometric data. First, the robustness and reproducibility was tested using authentic standards, evaluating performance as a function of concentration, ionization potential and sample complexity. The method was then used for the compositional analysis of particulate matter and surface waters collected from world-wide locations. The method detected >9,600 compounds in the individual environmental samples, arising from critical pollutant sources, including carcinogenic industrial chemicals, pesticides, pharmaceuticals, among others. This methodology offers considerable advances in the environmental sciences, providing a more complete assessment of sample compositions, whilst significantly increasing throughput.", "keywords": ["ultrahigh-resolution mass spectrometry", "Compound Discoverer", "1600", "2304", "Reproducibility of Results", "non-targeted analysis", "01 natural sciences", "Mass Spectrometry", "13. Climate action", "Pesticides", "liquid chromatography\u2212mass spectrometry", "Chromatography", " High Pressure Liquid", "Water Pollutants", " Chemical", "Chromatography", " Liquid", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://eprints.bournemouth.ac.uk/36790/1/An%20Automated%20Methodology%20for%20Non-targeted%20Compositional%20Analysis%20of%20Small%20Molecules%20in%20High%20Complexity%20Environmental%20Matrice.pdf"}, {"href": "https://eprints.whiterose.ac.uk/174399/1/acs.est.0c08208.pdf"}, {"href": "https://doi.org/PMC8277131"}, {"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": "PMC8277131", "name": "item", "description": "PMC8277131", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC8277131"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-18T00:00:00Z"}}, {"id": "PMC8305929", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:27:11Z", "type": "Journal Article", "created": "2021-07-04", "title": "Metabolomic Approaches to Studying the Response to Drought Stress in Corn (Zea mays) Cobs", "description": "

Metabolomics is a technique that allows for the evaluation of the entire extractable chemical profile of a plant, for example, using high-resolution mass spectrometry (HRMS) and can be used to evaluate plant stress responses, such as those due to drought. Metabolomic analysis is dependent upon the efficiency of the extraction protocol. Currently, there are two common extraction procedures widely used in metabolomic experiments, those that extract from plant tissue processed in liquid nitrogen or extraction from lyophilised plant tissues. Here, we evaluated the two using non-targeted metabolomics to show that lyophilisation can stabilise the maize (Zea mays) extractable metabolome, increasing throughput and efficiency of extraction as compared to the more traditional processing in liquid nitrogen. Then, we applied the lyophilisation approach to explore the effect of drought upon the maize metabolome in a non-targeted HRMS metabolomics approach. Metabolomics revealed differences in the mature maize metabolome having undergone three drought conditions imposed at two critical development stages (three-leaf stage and grain-fill stage); moreover, this difference was observed across two tissue types (kernel and inner cob/pith). It was shown that under ideal conditions, the biochemical make-up of the tissue types is different. However, under stress conditions, the stress response dominates the metabolic profile. Drought-related metabolites known from other plant systems have been identified and metabolomics has revealed potential novel drought-stress indicators in our maize system.

", "keywords": ["0301 basic medicine", "2. Zero hunger", "High-resolution mass spectrometry", "0303 health sciences", "abiotic stress", "1312", "2712", "1303", "15. Life on land", "Abiotic stress", "maize", "metabolomics", "LC\u2013MS", "Microbiology", "QR1-502", "Article", "6. Clean water", "LC-MS", "Maize", "03 medical and health sciences", "climate change", "maize; metabolomics; LC\u2013MS; high-resolution mass spectrometry; abiotic stress; climate change", "Climate change", "Metabolomics", "high-resolution mass spectrometry"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/175862/1/metabolites_11_00438.pdf"}, {"href": "http://www.mdpi.com/2218-1989/11/7/438/pdf"}, {"href": "https://doi.org/PMC8305929"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Metabolites", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC8305929", "name": "item", "description": "PMC8305929", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC8305929"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-03T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=HIGH-RESOLUTION&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=HIGH-RESOLUTION&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=HIGH-RESOLUTION&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=HIGH-RESOLUTION&offset=20", "hreflang": "en-US"}], "numberMatched": 20, "numberReturned": 20, "distributedFeatures": [], "timeStamp": "2026-05-25T15:10:00.402416Z"}