{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.1310924", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:07Z", "type": "Dataset", "title": "N2O raw data from static greenhouse gas chamber measurements", "description": "Open AccessThis dataset contains N2O concentration measurements of a 2 years measurement campaign for greenhouse gas fluxes from agricultural soils. The format of the data is ready to be fed into the gasfluxes R package on CRAN to calculate fluxes for each individual chamber measurement (identical IDs are referred to one single measurement, the ID contains the measurement day, treatment and replicate). The data is originally published in Krauss et al. 2017 and further used for improvements of the flux calculation procedure in H\u00fcppi et a. 2018 (see references)", "keywords": ["2. Zero hunger", "Nitrous oxide", "static chamber measurement", "13. Climate action", "gasfluxes", "12. Responsible consumption"], "contacts": [{"organization": "Krauss, Maike", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.1310924"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.1310924", "name": "item", "description": "10.5281/zenodo.1310924", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.1310924"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-02-17T00:00:00Z"}}, {"id": "10.5281/zenodo.1313551", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:24:07Z", "type": "Dataset", "title": "Quality Of Free Soil Organic Matter Fraction As Affected By Warming And Rain Exclusion At A Semiarid Mediterranean Site", "description": "Data and metadata of nuclear magnetic resonance (NMR) of free organic matter fraction of soils from a dryland ecosystem warming experiment established in Aranjuez, Central Spain.", "keywords": ["13. Climate action", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "Plaza, C\u00e9sar, Moreno-Jim\u00e9nez, Eduardo, Maestre, Fernando T.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.1313551"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.1313551", "name": "item", "description": "10.5281/zenodo.1313551", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.1313551"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-07-17T00:00:00Z"}}, {"id": "10.5281/zenodo.1314194", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:07Z", "type": "Dataset", "title": "Majadas de Tietar: Ecosystem level and understorey carbon, water, and energy fluxes in a Mediterranean tree-grass ecosystem", "description": "Open Access{'references': ['Casals, P. et al., 2009. Soil CO2 efflux and extractable organic carbon fractions under simulated precipitation events in a Mediterranean Dehesa. Soil Biol. Biochem. 41, 1915 u20131922. https://doi.org/10.1016/j.soilbio.2009.06.015', 'El-Madany, T.S.,et al., 2018 (Accepted). Drivers of spatio-temporal variability of carbon dioxide and energy fluxes in a Mediterranean savanna ecosystem. https://doi.org/10.1016/j.agrformet.2018.07.010', 'Knauer, J., et al.,(Accepted). bigleaf - An R package for the calculation of physical and physiological ecosystem properties from eddy covariance data. PLOS ONE, doi:10.1371/journal.pone.0201114', 'Perez-Priego O, et al., 2017. Evaluation of eddy covariance latent heat fluxes with independent lysimeter and sapflow estimates in a Mediterranean savannah ecosystem. Agricultural and Forest Meteorology. 236: 87-99. doi: 10.1016/j.agrformet.2017.01.009.', 'Wutzler, T., et al., 2018. Basic and extensible post-processing of eddy covariance flux data with REddyProc. Biogeosciences Discuss., p. 1-39.']}", "keywords": ["13. Climate action", "15. Life on land", "tree-grass ecosystem", " Dehesa", " eddy covariance", " Carbon fluxes", " Water fluxes"], "contacts": [{"organization": "Carrara, Arnaud, El-Madany, Tarek Sebastian, Lopez-Jimenez, Ramon, Hertel, Martin, Kolle, Olaf, Knauer, J\u00fcrgen, Perez-Priego, Oscar, Reichstein, Markus, Zaehle, S\u00f6nke, Migliavacca, Mirco,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.1314194"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.1314194", "name": "item", "description": "10.5281/zenodo.1314194", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.1314194"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-07-18T00:00:00Z"}}, {"id": "10.5281/zenodo.13141793", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:07Z", "type": "Report", "title": "Risk-based human exposure assessment of chemicals in the circular economy", "description": "Poster presented at the IWA Leading Edge Technologies Conference in Essen, Germany in June 2024", "keywords": ["13. 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Responsible consumption"], "contacts": [{"organization": "Zhiteneva, Veronika, Zamzow, Malte, de Buen Lapena, H\u00e8ctor, Mesas, Mireia,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13141793"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13141793", "name": "item", "description": "10.5281/zenodo.13141793", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13141793"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-13T00:00:00Z"}}, {"id": "10.5281/zenodo.1323927", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:07Z", "type": "Journal Article", "created": "2017-12-09", "title": "New insights into the role of microbial community composition in driving soil respiration rates", "description": "New insights into the role of microbial community composition in driving soil respiration rates. 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(T2.3)", "keywords": ["13. Climate action", "15. Life on land", "soil o-live", "microplastic", "6. 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Soil sampling and soil analysis protocols and quality guidelines for antibiotic and vet pollution. (T2.5)", "keywords": ["D2.8", "13. Climate action", "protocol", "soil o-live", "6. 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(T3.1)", "keywords": ["13. Climate action", "land degradation", "D3.1", "protocol", "15. Life on land", "soil o-live", "olive grove"], "contacts": [{"organization": "Roma Tre University", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13344462"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13344462", "name": "item", "description": "10.5281/zenodo.13344462", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13344462"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-19T00:00:00Z"}}, {"id": "11369/372709", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:10Z", "type": "Journal Article", "created": "2018-09-07", "title": "Soil resources and element stocks in drylands to face global issues", "description": "Abstract

Drylands (hyperarid, arid, semiarid, and dry subhumid ecosystems) cover almost half of Earth\uffe2\uff80\uff99s land surface and are highly vulnerable to environmental pressures. Here we provide an inventory of soil properties including carbon (C), nitrogen (N), and phosphorus (P) stocks within the current boundaries of drylands, aimed at serving as a benchmark in the face of future challenges including increased population, food security, desertification, and climate change. Aridity limits plant production and results in poorly developed soils, with coarse texture, low C:N and C:P, scarce organic matter, and high vulnerability to erosion. Dryland soils store 646 Pg of organic C to 2\uffe2\uff80\uff89m, the equivalent of 32% of the global soil organic C pool. The magnitude of the historic loss of C from dryland soils due to human land use and cover change and their typically low C:N and C:P suggest high potential to build up soil organic matter, but coarse soil textures may limit protection and stabilization processes. Restoring, preserving, and increasing soil organic matter in drylands may help slow down rising levels of atmospheric carbon dioxide by sequestering C, and is strongly needed to enhance food security and reduce the risk of land degradation and desertification.Nonvascular photoautotrophs (NVP), including bryophytes, lichens, terrestrial algae, and cyanobacteria, are increasingly recognized as being essential to ecosystem functioning in many regions of the world. Current research suggests that climate change may pose a substantial threat to NVP, but the extent to which this will affect the associated ecosystem functions and services is highly uncertain. Here, we propose a research agenda to address this urgent question, focusing on physiological and ecological processes that link NVP to ecosystem functions while also taking into account the substantial taxonomic diversity across multiple ecosystem types. Accordingly, we developed a new categorization scheme, based on microclimatic gradients, which simplifies the high physiological and morphological diversity of NVP and world\uffe2\uff80\uff90wide distribution with respect to several broad habitat types. We found that habitat\uffe2\uff80\uff90specific ecosystem functions of NVP will likely be substantially affected by climate change, and more quantitative process understanding is required on: (1) potential for acclimation; (2) response to elevated CO2; (3)\uffc2\uffa0role of the microbiome; and (4) feedback to (micro)climate. We suggest an integrative approach of innovative, multimethod laboratory and field experiments and ecophysiological modelling, for which sustained scientific collaboration on NVP research will be essential.

This article reports on Citizen Observatories\u2019 (COs) potential to contribute to the Sustainable Development Goals (SDGs), reflecting on the experience of the GROW Observatory (GROW). The research aims to take the first steps in closing the gap in the literature on COs\u2019 potential contributions to the SDG framework, beyond quantitative data contributions for indicator monitoring. Following an analysis of project activities and outcomes mapped against the SDG framework, the findings reveal GROW\u2019s potential contributions across two dimensions: (i) Actions to advance the implementation of goals and targets through awareness raising and training; participatory methods; multi-stakeholder connections; and supporting citizens to move from data to action and (ii) Data contributions to SDG indicator monitoring through citizen-generated datasets. While earlier research has focused mostly on the latter (dimension ii), CO activities can impact numerous goals and targets, highlighting their potential to relate global SDGs to local level action, and vice versa. These findings align with the growing literature on COs\u2019 ability to bring together policy makers, scientists and citizens, and support changes to environmental policy and practice. Furthermore, this research suggests groundwork activities that address the goal and target level can also enhance sustained data collection to contribute to indicator level monitoring. We conclude with future trends and recommendations for COs wishing to contribute to the SDGs.

", "keywords": ["participatory policy making", "330", "Sustainable Development Goals", "open data", "01 natural sciences", "333", "sustainable development Goals", "63 Sociolog\u00eda", "12. Responsible consumption", "13. Climate action", "citizen science", "11. Sustainability", "Citizen Observatory", "co-design", "citizen observatory", "SDG indicators", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/12/24/10518/pdf"}, {"href": "https://pure.iiasa.ac.at/id/eprint/16942/1/sustainability-12-10518.pdf"}, {"href": "https://pure.iiasa.ac.at/id/eprint/16942/2/sustainability-12-10518-s001.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/16942/1/sustainability-12-10518.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/16942/2/sustainability-12-10518-s001.pdf"}, {"href": "https://www.mdpi.com/2071-1050/12/24/10518/pdf"}, {"href": "https://doi.org/20.500.11820/9f80250d-86e9-4189-ae84-22acf2256751"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11820/9f80250d-86e9-4189-ae84-22acf2256751", "name": "item", "description": "20.500.11820/9f80250d-86e9-4189-ae84-22acf2256751", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11820/9f80250d-86e9-4189-ae84-22acf2256751"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-16T00:00:00Z"}}, {"id": "10182/14566", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:43Z", "type": "Journal Article", "created": "2019-07-23", "title": "An integrated assessment of nitrogen source, transformation and fate within an intensive dairy system to inform management change", "description": "From an environmental perspective optimised dairy systems, which follow current regulations, still have low nitrogen (N) use efficiency, high N surplus (kg N ha-1) and enable ad-hoc delivery of direct and indirect reactive N losses to water and the atmosphere. The objective of the present study was to divide an intensive dairy farm into N attenuation capacity areas based on this ad-hoc delivery. Historical and current spatial and temporal multi-level data- sets (stable isotope and dissolved gas) were combined and interpreted. Results showed that the farm had four distinct attenuation areas: high N attenuation: characterised by ammonium-N (NH4+-N) below 0.23 mg NH4+-N l-1 and nitrate (NO3--N) below 5.65 mg NO3-- N l-1 in surface, drainage and groundwater, located on imperfectly to moderately-well drained soils with high denitrification potential and low nitrous oxide (N2O) emissions (av. 0.0032 mg N2O-N l-1); moderate N attenuation: characterised by low NO3--N concentration in drainage water but high N2O production (0.0317 mg N2O-N l-1) and denitrification potential lower than group 1 (av. \u03b415N-NO3-: 16.4 , av. \u03b418O-NO3-: 9.2 ), on well to moderately drained soils; low N attenuation area 1: characterised by high NO3--N (av. 6.90 mg NO3--N l-1) in drainage water from well to moderately-well drained soils, with low denitrification potential (av. \u03b415N-NO3-: 9.5 , av. \u03b418O-NO3-: 5.9 ) and high N2O emissions (0.0319 mg N2O l-1); and low N attenuation area 2: characterised by high NH4+-N (av. 3.93 mg NH4+-N l-1 and high N2O emissions (av. 0.0521 mg N2O l-1) from well to imperfectly drained soil. N loads on site should be moved away from low attenuation areas and emissions to air and water should be assessed.", "keywords": ["dairy systems", "Farms", "Time Factors", "550", "Nitrogen", "Science", "Nitrous Oxide", "management change", "Oxygen Isotopes", "01 natural sciences", "Permeability", "nitrogen", "dissimilatory nitrate reduction to ammonium", "soil", "Dairy system", "Soil", "Isotopes", "Waste Management", "Oxygen Radioisotopes", "Ammonium Compounds", "0105 earth and related environmental sciences", "2. Zero hunger", "Nitrates", "Geography", "Stable Isotopes", "Q", "R", "Water", "Agriculture", "15. Life on land", "nitrification", "6. Clean water", "Management", "DNRA", "Dairying", "Milk", "Slurries", "13. Climate action", "Denitrification", "Medicine", "Intensive", "Research Article"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/148308/8/journal.pone.0219479.pdf"}, {"href": "https://air.unimi.it/bitstream/2434/956826/2/document.pdf"}, {"href": "https://doi.org/10182/14566"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10182/14566", "name": "item", "description": "10182/14566", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10182/14566"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-23T00:00:00Z"}}, {"id": "10261/277849", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:48Z", "type": "Journal Article", "created": "2022-03-04", "title": "Sediment yields variation and response to the controlling factors in the Wei River Basin, China", "description": "Open AccessPeer reviewed", "keywords": ["Controlling factors", "13. Climate action", "0208 environmental biotechnology", "Sediment yield", "0207 environmental engineering", "Correlation analysis", "Spatial and temporal variation", "02 engineering and technology", "15. Life on land", "6. Clean water", "Wei River Basin"]}, "links": [{"href": "https://doi.org/10261/277849"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/277849", "name": "item", "description": "10261/277849", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/277849"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-01T00:00:00Z"}}, {"id": "10261/279130", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:48Z", "type": "Journal Article", "created": "2022-04-01", "title": "Keeping Up with Phosphorus Dynamics: Overdue Conceptual Changes in Vegetative Filter Strip Research and Management", "description": "

Vegetative filter strips (VFS) are best management practices with the primary aim of protecting surface waters from eutrophication resulting from excess nutrient inputs from agricultural sources. However, we argue that there is a substantial time and knowledge lag from the science underpinning VFS to policy and implementation. Focussing on phosphorus (P), we strive to introduce a holistic view on VFS that accounts for the whole functional soil volume, temporal and seasonal effects, the geospatial context, the climatic and physico-chemical basic conditions, and the intricate bio-geochemical processes that govern nutrient retention, transformation, and transport. Specifically, we suggest a step-wise approach to custom VFS designs that links and matches the incoming P from event to multi-annual timescales from the short- and mid-term processes of P retention in the effective soil volume and to the longer-term P retention and offtake coupled to the soil-vegetation system. An a priori assessment of the P export potential should be followed by bespoke VFS designs, in line with local conditions and socio-economic and ecological constraints. To cope with increasingly nutrient saturated or functionally insufficient VFS installed over the last decades, concepts and management strategies need to encompass the transition in understanding of VFS as simple nutrient containers to multifunctional buffer zones that have a complex inner life. We need to address these associated emerging challenges and integrate their implications more thoroughly into VFS research, monitoring, policy, and implementation than ever before. Only then we may get VFS that are effective, sustainable, and persistent.Abstract

Natural based solutions, notably constructed/artificial wetland treatment systems, rely heavily on identification and use of macrophytes with the ability to tolerate multiple contaminants and grow for an extended period to reduce contamination. The potential to tolerate and remediate metal(loid) contaminated groundwater from an industrial site located in Flanders (Belgium) was assessed for 10 wetland macrophytes (including Carex riparia, Cyperus longus, Cyperus rotundus, Iris pseudacorus, Juncus effusus, Lythrum salicaria, Menta aquatica, Phragmites australis, Scirpus holoschoenus, and Typha angustifolia). The experiment was conducted under static conditions, where plants were exposed to polluted acidic (pH~4)water, having high level of metal(loid)s for 15 days. Plant biomass, morphology, and metal uptake by roots and shoots were analysed every 5 days for all species. T. angustifolia and S. holoschoenus produced ~3 and ~1.1 times more dried biomass than the controls, respectively. For S. holoschoenus, P. australis, and T. angustifolia, no apparent morphological stress symptoms were observed, and plant heights were similar between control and plants exposed to polluted groundwater. Higher concentrations of all metal(loid)s were detected in the roots indicating a potential for phytostabilization of metal(loid)s below the water column. For J. effusus and T. angustifolia, Cd, Ni, and Zn accumulation was observed higher in the shoots. S. holoschoenus, P. australis, and T. angustifolia are proposed for restoration and phytostabilization strategies in natural and/or constructed wetland and aquatic ecosystems affected by metal(loid) inputs.

", "keywords": ["580", "570", "Constructed wetlands ; Metals/metabolism [MeSH] ; Groundwater ; Phytostabilization ; Wetlands [MeSH] ; Metals", " Heavy/metabolism [MeSH] ; Heavy metals ; Macrophytes ; Water Pollutants", " Chemical/metabolism [MeSH] ; Research Article ; Biodegradation", " Environmental [MeSH] ; Belgium [MeSH]", "Constructed wetlands", "15. Life on land", "Biorremediaci\u00f3n", "6. Clean water", "Macrophytes", "Agua-Contaminaci\u00f3n", "Biodegradation", " Environmental", "Heavy metals", "Water-Pollution", "Belgium", "Metals", "13. Climate action", "Wetlands", "Metals", " Heavy", "Phytostabilization", "Groundwater", "Bioremediation", "Water Pollutants", " Chemical", "Research Article"]}, "links": [{"href": "https://doi.org/10259/9749"}, {"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": "10259/9749", "name": "item", "description": "10259/9749", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10259/9749"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-12T00:00:00Z"}}, {"id": "10.5281/zenodo.1423483", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:24:27Z", "type": "Dataset", "title": "GPP: Site-scale and global model outputs from P-model used for Stocker et al. (2019) Nature Geosci.", "description": "Data from article Stocker et al. (in review) *Nature Geosci.* The datasets provided here include: Site-level GPP model results from the P-model (Wang et al., 2017) Model outputs from global simulations with the P-model (Wang et al., 2017) as implemented for the study by Stocker et al. (2019) This data may be used to partly reproduce results presented in Stocker et al. (2019) Nature Geosci. 'Partly' because we used data for our analysis that was not open access but was confidentially shared with us. This includes remote sensing-based GPP estimates from the BESS and VPM models. Other open access data that was used for the analysis may not be distributed under this DOI. This includes FLUXNET 2015 data and MODIS data. For reproducing results of Stocker et al. (2019) regarding site-scale evaluations, run for example the scripts `plot_bias_all.R` and `plot_bias_problem.R`, available from Github or Zenodo, using CSV files provided here (see comments in scripts). For more insight, including analysis of global simulation outputs, see RMarkdown file `si_soilm_global.Rmd`. This renders the supplementary information PDF document provided along with Stocker et al. (2019), which is available also on RPubs. The present datasets are prepared by script `prepare_data_openaccess.R ` on Github or Zenodo. Data description Site-level data Data is provided as CSV files: `gpp_daily_fluxnet_stocker18natgeo.csv`: Daily data for full time series (not including MODIS GPP) `gpp_8daily_fluxnet_stocker18natgeo.csv`: Data aggregated to 8-day periods corresponding to MODIS dates (including MODIS GPP) `gpp_alg_daily_fluxnet_stocker18natgeo.csv`: Data filtered to periods with substantial soil moisture effects ('fLUE droughts' following Stocker et al. (2018a)) `gpp_alg_8daily_fluxnet_stocker18natgeo.csv`: Data aggregated to 8-day periods and filtered to periods with substantial soil moisture effects. Each column is a variable with the following name and units (not all variables are available in all files): `site_id`: FLUXNET site ID `date`: Date of measurement, units: YYYY-MM-DD `gpp_pmodel` and `gpp_modis`: Simulated GPP from the P-model and MODIS (see Stocker et al. (2018b), Methods, RS models), units: g C m-2 d-1 (mean across 8 day periods in respective files) `aet_splash`: Simulated actual evapotranspiration from the SPLASH model (Davis et al., 2017), units: mm d-1 `pet_splash`: Simulated potential evapotranspiration from the SPLASH model (Davis et al., 2017), units: mm d-1 `soilm_splash`: Soil moisture simulated by the SPLASH model (Davis et al., 2017), normalised to vary between zero and one at the maximum water holding capacity, unitless. `flue`: fLUE estimate from Stocker et al. (2018). Estimates soil moisture stress on light use efficiency from flux data, unitless. `beta_a`, `beta_b`, and `beta_c`: Empirical soil moisture stress, used as multiplier to simulated GPP as described in Stocker et al. (2018b), unitless. Global P-model simulation outputs GPP and soil moisture output is provided as NetCDF files for simulations s0, and s1b (see Stocker et al. (2018b)). All meta information is provided therein. Files for simulation s1b are names as follows (for outputs from other simulations replace s1b with other simulation name). The fraction of each gridcell covered by land (not open water or ice) is given by separate file `s1b_fapar3g_v2_global.fland.nc`. `s1b_fapar3g_v2_global.d.gpp.nc`: Daily GPP from simulation s1b. `s1b_fapar3g_v2_global.d.wcont.nc`: Daily soil moisture from simulation s1b (is identical in other simulations, therefore not provided.) Due to limited total file size allowed for uploads to Zenodo, only outputs from s1b are provided here. Other outputs may be obtained upon request addressed to benjamin.stocker@gmail.com. References Davis, T. W. et al. Simple process-led algorithms for simulating habitats (SPLASH v.1.0): robust indices of radiation, evapotranspiration and plant-available moisture. Geoscientific Model Development 10, 689\u2013708 (2017).
Hufkens, K. khufkens/gee_subset: Google Earth Engine subset script & library. (2017). doi:10.5281/zenodo.833789Running, S. W. et al. A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production. Bioscience 54, 547\u2013560 (2004).
Stocker, B. et al., Quantifying soil moisture impacts on light use efficiency across biomes, New Phytologist, doi: 10.1111/nph.15123 (2018a).
Stocker, B. et al., Satellite monitoring underestimates the impact of drought on terrestrial primary productivity, Nature Geoscience (2019).
Wang, H. et al. Towards a universal model for carbon dioxide uptake by plants. Nat Plants 3, 734\u2013741 (2017).
", "keywords": ["13. Climate action"], "contacts": [{"organization": "Stocker, Benjamin", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.1423483"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.1423483", "name": "item", "description": "10.5281/zenodo.1423483", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.1423483"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-21T00:00:00Z"}}, {"id": "10.5281/zenodo.1423484", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:24:27Z", "type": "Dataset", "title": "GPP: Site-scale and global model outputs from P-model used for Stocker et al. (2019) Nature Geosci.", "description": "Data from article Stocker et al. (in review) *Nature Geosci.* The datasets provided here include: Site-level GPP model results from the P-model (Wang et al., 2017) Model outputs from global simulations with the P-model (Wang et al., 2017) as implemented for the study by Stocker et al. (2019) This data may be used to partly reproduce results presented in Stocker et al. (2019) Nature Geosci. 'Partly' because we used data for our analysis that was not open access but was confidentially shared with us. This includes remote sensing-based GPP estimates from the BESS and VPM models. Other open access data that was used for the analysis may not be distributed under this DOI. This includes FLUXNET 2015 data and MODIS data. For reproducing results of Stocker et al. (2019) regarding site-scale evaluations, run for example the scripts `plot_bias_all.R` and `plot_bias_problem.R`, available from Github or Zenodo, using CSV files provided here (see comments in scripts). For more insight, including analysis of global simulation outputs, see RMarkdown file `si_soilm_global.Rmd`. This renders the supplementary information PDF document provided along with Stocker et al. (2019), which is available also on RPubs. The present datasets are prepared by script `prepare_data_openaccess.R ` on Github or Zenodo. Data description Site-level data Data is provided as CSV files: `gpp_daily_fluxnet_stocker18natgeo.csv`: Daily data for full time series (not including MODIS GPP) `gpp_8daily_fluxnet_stocker18natgeo.csv`: Data aggregated to 8-day periods corresponding to MODIS dates (including MODIS GPP) `gpp_alg_daily_fluxnet_stocker18natgeo.csv`: Data filtered to periods with substantial soil moisture effects ('fLUE droughts' following Stocker et al. (2018a)) `gpp_alg_8daily_fluxnet_stocker18natgeo.csv`: Data aggregated to 8-day periods and filtered to periods with substantial soil moisture effects. Each column is a variable with the following name and units (not all variables are available in all files): `site_id`: FLUXNET site ID `date`: Date of measurement, units: YYYY-MM-DD `gpp_pmodel` and `gpp_modis`: Simulated GPP from the P-model and MODIS (see Stocker et al. (2018b), Methods, RS models), units: g C m-2 d-1 (mean across 8 day periods in respective files) `aet_splash`: Simulated actual evapotranspiration from the SPLASH model (Davis et al., 2017), units: mm d-1 `pet_splash`: Simulated potential evapotranspiration from the SPLASH model (Davis et al., 2017), units: mm d-1 `soilm_splash`: Soil moisture simulated by the SPLASH model (Davis et al., 2017), normalised to vary between zero and one at the maximum water holding capacity, unitless. `flue`: fLUE estimate from Stocker et al. (2018). Estimates soil moisture stress on light use efficiency from flux data, unitless. `beta_a`, `beta_b`, and `beta_c`: Empirical soil moisture stress, used as multiplier to simulated GPP as described in Stocker et al. (2018b), unitless. Global P-model simulation outputs GPP and soil moisture output is provided as NetCDF files for simulations s0, and s1b (see Stocker et al. (2018b)). All meta information is provided therein. Files for simulation s1b are names as follows (for outputs from other simulations replace s1b with other simulation name). The fraction of each gridcell covered by land (not open water or ice) is given by separate file `s1b_fapar3g_v2_global.fland.nc`. `s1b_fapar3g_v2_global.d.gpp.nc`: Daily GPP from simulation s1b. `s1b_fapar3g_v2_global.d.wcont.nc`: Daily soil moisture from simulation s1b (is identical in other simulations, therefore not provided.) Due to limited total file size allowed for uploads to Zenodo, only outputs from s1b are provided here. Other outputs may be obtained upon request addressed to benjamin.stocker@gmail.com. References Davis, T. W. et al. Simple process-led algorithms for simulating habitats (SPLASH v.1.0): robust indices of radiation, evapotranspiration and plant-available moisture. Geoscientific Model Development 10, 689\u2013708 (2017).
Hufkens, K. khufkens/gee_subset: Google Earth Engine subset script & library. (2017). doi:10.5281/zenodo.833789Running, S. W. et al. A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production. Bioscience 54, 547\u2013560 (2004).
Stocker, B. et al., Quantifying soil moisture impacts on light use efficiency across biomes, New Phytologist, doi: 10.1111/nph.15123 (2018a).
Stocker, B. et al., Satellite monitoring underestimates the impact of drought on terrestrial primary productivity, Nature Geoscience (2019).
Wang, H. et al. Towards a universal model for carbon dioxide uptake by plants. Nat Plants 3, 734\u2013741 (2017).
", "keywords": ["13. Climate action"], "contacts": [{"organization": "Stocker, Benjamin", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.1423484"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.1423484", "name": "item", "description": "10.5281/zenodo.1423484", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.1423484"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-21T00:00:00Z"}}, {"id": "20.500.11820/dad6a7dc-39c6-4504-8413-ebff547f6f53", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:41Z", "type": "Journal Article", "created": "2019-07-02", "title": "Citizen observatory based soil moisture monitoring \u2013 the GROW example", "description": "GROW Observatory is a project funded under the European Union\u2019s Horizon 2020 research and innovation program. Its aim is to establish a large scale (more than 20,000 participants), resilient and integrated \u2018Citizen Observatory\u2019 (CO) and community for environmental monitoring that is self-sustaining beyond the life of the project. This article describes how the initial framework and tools were developed to evolve, bring together and train such a community; raising interest, engaging participants, and educating to support reliable observations, measurements and documentation, and considerations with a special focus on the reliability of the resulting dataset for scientific purposes. The scientific purposes of GROW observatory are to test the data\u00a0 quality and the spatial representativity of a citizen engagement driven spatial distribution as reliably inputs for soil moisture monitoring and to create timely series of gridded soil moisture products based on citizens\u2019 observations using low cost soil moisture (SM) sensors, and to provide an extensive dataset of in situ soil moisture observations which can serve as a reference to validate satellite-based SM products and support the Copernicus in situ component. This article aims to showcase the initial steps of setting up such a monitoring network that has been reached at the mid-way point of the project\u2019s funded period, focusing mainly on the design and development of the CO monitoring network.", "keywords": ["Planning and Development", "Crowdsourced data", "570", "Geography (General)", "550", "Soil moisture monitoring", "crowdsourced data", "0207 environmental engineering", "/dk/atira/pure/subjectarea/asjc/3300/3305", "02 engineering and technology", "Citizen science", "15. Life on land", "name=General Earth and Planetary Sciences", "name=Geography", "Citizen observatory", "12. Responsible consumption", "13. Climate action", "citizen science", "11. Sustainability", "soil moisture monitoring", "G1-922", "/dk/atira/pure/subjectarea/asjc/1900/1900", "citizen observatory"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/16020/1/document%20%281%29.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/16020/1/document%20%281%29.pdf"}, {"href": "https://doi.org/20.500.11820/dad6a7dc-39c6-4504-8413-ebff547f6f53"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hungarian%20Geographical%20Bulletin", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11820/dad6a7dc-39c6-4504-8413-ebff547f6f53", "name": "item", "description": "20.500.11820/dad6a7dc-39c6-4504-8413-ebff547f6f53", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11820/dad6a7dc-39c6-4504-8413-ebff547f6f53"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-01T00:00:00Z"}}, {"id": "10261/366990", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:52Z", "type": "Journal Article", "created": "2024-02-27", "title": "Characterization of the particle size distribution, mineralogy and Fe mode of occurrence of dust-emitting sediments across the Mojave Desert, California, USA", "description": "

Abstract. Understanding the effect of dust upon climate and ecosystems needs comprehensive analyses of the physiochemical properties of dust-emitting sediments in arid regions. Here, we analyse a diverse set of crusts and aeolian ripples (n=55) from various dust-hotspots within the Mojave Desert, California, USA, with focus on their particle size distribution (PSD), mineralogy, aggregation/cohesion state and iron mode of occurrence characterization. Our results showed differences in fully and minimally dispersed PSDs, with crusts average median diameters (92 and 37 \u00b5m, respectively) compared to aeolian ripples (226 and 213 \u00b5m, respectively). Mineralogical analyses unveiled variations between crusts and ripples, with crusts enriched in phyllosilicates (24 vs 7.8 %), carbonates (6.6 vs 1.1 %), Na-salts (7.3 vs 1.1 %) and zeolites (1.2 and 0.12 %), while ripples enriched in feldspars (48 vs 37 %), quartz (32 vs 16 %), and gypsum (4.7 vs 3.1 %). Bulk Fe content analyses indicate higher concentrations in crusts (3.0\u00b11.3 wt %) compared to ripples (1.9\u00b11.1 wt %), with similar Fe speciation proportions; nano Fe-oxides/readily exchangeable Fe represent ~1.6 %, hematite/goethite ~15 %, magnetite/maghemite ~2.0 % and structural Fe in silicates ~80 % of the total Fe. We identified segregation patterns in PSD and mineralogy differences within the Mojave basins, influenced by sediment transportation dynamics and precipitates due to groundwater table fluctuations. Mojave Desert crusts show similarities with previously sampled crusts in the Moroccan Sahara for PSD and readily exchangeable Fe, yet exhibit differences in mineralogical composition, which could influence the emitted dust particles characteristics.

", "keywords": ["Take urgent action to combat climate change and its impacts", "550", "Climate", "QC1-999", "Iron", "http://metadata.un.org/sdg/3", "Dust models", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Enginyeria ambiental", "Physicochemical property", "QD1-999", "Ensure healthy lives and promote well-being for all at all ages", "info:eu-repo/classification/ddc/550", "ddc:550", "Physics", "Dust", "Particle size", "Size distribution", "15. Life on land", "Mineralogy", "Mojave Desert", "Earth sciences", "Chemistry", "13. Climate action", "Sediment", "http://metadata.un.org/sdg/13", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient"]}, "links": [{"href": "https://acp.copernicus.org/articles/24/9155/2024/acp-24-9155-2024.pdf"}, {"href": "https://doi.org/10261/366990"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/366990", "name": "item", "description": "10261/366990", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/366990"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-27T00:00:00Z"}}, {"id": "10.5281/zenodo.14275817", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:28Z", "type": "Report", "title": "Deliverable D2.1_Pesticides and copper report (I) (SOIL O-LIVE_HORIZON EUROPE ID 101091255)", "description": "D2.1: Technical report on the pre-operational status of contamination by pesticides and copper in olive groves. (T2.1)", "keywords": ["13. Climate action", "15. Life on land", "soil o-live", "D2.1", "Pesticides", "6. Clean water", "Copper"], "contacts": [{"organization": "University of Castilla-La Mancha", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14275817"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14275817", "name": "item", "description": "10.5281/zenodo.14275817", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14275817"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-19T00:00:00Z"}}, {"id": "10.5281/zenodo.14563816", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:32Z", "type": "Dataset", "title": "Transformation Rate Maps of Dissolved Organic Carbon in the Contiguous U.S.", "description": "unspecifiedWe develop two new maps of the dissolved organic carbon (DOC) transformation rate ( (P_r )) over the contiguous United States. Those maps are derived by combining the USGS riverine DOC observations, soil organic carbon (SOC) data from two sources\u2014HWSD v1.2 and SoilGrids 2.0, and the watershed characteristics from two existing datasets medium-resolution NHDplus and ScienceBase, and state-of-the-art machine learning techniques.", "keywords": ["13. Climate action", "Machine learning", "Earth system modeling", "15. Life on land", "Riverine biogeochemical", "Dissolved organic carbon"], "contacts": [{"organization": "Li, Lingbo, Li, Hong-Yi, Abeshu, Guta,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14563816"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14563816", "name": "item", "description": "10.5281/zenodo.14563816", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14563816"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-27T00:00:00Z"}}, {"id": "10754/685569", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:03Z", "type": "Journal Article", "created": "2022-11-03", "title": "Environmental micro\u2010niche filtering shapes bacterial pioneer communities during primary colonization of a Himalayas' glacier forefield", "description": "Abstract

The pedogenesis from the mineral substrate released upon glacier melting has been explained with the succession of consortia of pioneer microorganisms, whose structure and functionality are determined by the environmental conditions developing in the moraine. However, the microbiome variability that can be expected in the environmentally heterogeneous niches occurring in a moraine at a given successional stage is poorly investigated. In a 50\uffe2\uff80\uff89m2 area in the forefield of the Lobuche glacier (Himalayas, 5050\uffe2\uff80\uff89m above sea level), we studied six sites of primary colonization presenting different topographical features (orientation, elevation and slope) and harbouring greyish/dark biological soil crusts (BSCs). The spatial vicinity of the sites opposed to their topographical differences, allowed us to examine the effect of environmental conditions independently from the time of deglaciation. The bacterial microbiome diversity and their co\uffe2\uff80\uff90occurrence network, the bacterial metabolisms predicted from 16S rRNA gene high\uffe2\uff80\uff90throughput sequencing, and the microbiome intact polar lipids were investigated in the BSCs and the underlying sediment deep layers (DLs). Different bacterial microbiomes inhabited the BSCs and the DLs, and their composition varied among sites, indicating a niche\uffe2\uff80\uff90specific role of the micro\uffe2\uff80\uff90environmental conditions in the bacterial communities' assembly. In the heterogeneous sediments of glacier moraines, physico\uffe2\uff80\uff90chemical and micro\uffe2\uff80\uff90climatic variations at the site\uffe2\uff80\uff90spatial scale are crucial in shaping the microbiome microvariability and structuring the pioneer bacterial communities during pedogenesis.e.g. carbon sequestration) over a significative timeframe. Remediation of polluted soils is not in scope. The field experiments shall take place under dynamically, meteorologically and biologically complex conditions. We are mapping activities across Europe, North Africa and the Middle East (see the Highlights box here below). The LTEP project is an ICHAR initiative implemented and managed by the EMRG group of the University of Bologna.", "keywords": ["Biochar", "Soil Organic Carbon", "13. Climate action", "Long Term", "Biochar", " Soil Organic Carbon", " long term", " field experiment", "Field Experiment", "15. Life on land"], "contacts": [{"organization": "Diego Marazza, Daniele Tigrini, Carlotta Carlini, Nicolas Greggio, Simone Pesce, Enrico Balugani,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.5960686"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.5960686", "name": "item", "description": "10.5281/zenodo.5960686", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.5960686"}, {"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": "20.500.11850/548476", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:42Z", "type": "Journal Article", "created": "2022-04-28", "title": "Microbial Community-Level Physiological Profiles and Genetic Prokaryotic Structure of Burned Soils Under Mediterranean Sclerophyll Forests in Central Chile", "description": "

Forest fires alter soil microbial communities that are essential to support ecosystem recovery following land burning. These alterations have different responses according to soil abiotic pre- and post-fire conditions and fire severity, among others, and tend to decrease along vegetation recovery over time. Thus, understanding the effects of fires on microbial soil communities is critical to evaluate ecosystem resilience and restoration strategies in fire-prone ecosystems. We studied the state of community-level physiological profiles (CLPPs) and the prokaryotic community structure of rhizosphere and bulk soils from two fire-affected sclerophyll forests (one surveyed 17 months and the other 33 months after fire occurrence) in the Mediterranean climate zone of central Chile. Increases in catabolic activity (by average well color development of CLPPs), especially in the rhizosphere as compared with the bulk soil, were observed in the most recently affected site only. Legacy of land burning was still clearly shaping soil prokaryote community structure, as shown by quantitative PCR (qPCR) and Illumina MiSeq sequencing of the V4 region of the 16S rRNA gene, particularly in the most recent fire-affected site. The qPCR copy numbers and alpha diversity indexes (Shannon and Pielou\uffe2\uff80\uff99s evenness) of sequencing data decreased in burned soils at both locations. Beta diversity analyses showed dissimilarity of prokaryote communities at both study sites according to fire occurrence, and NO3\uffe2\uff80\uff93 was the common variable explaining community changes for both of them. Acidobacteria and Rokubacteria phyla significantly decreased in burned soils at both locations, while Firmicutes and Actinobacteria increased. These findings provide a better understanding of the resilience of soil prokaryote communities and their physiological conditions in Mediterranean forests of central Chile following different time periods after fire, conditions that likely influence the ecological processes taking place during recovery of fire-affected ecosystems.Climate change jeopardizes human health, global biodiversity, and sustainability of the biosphere. To make reliable predictions about climate change, scientists use Earth system models (ESMs) that integrate physical, chemical, and biological processes occurring on land, the oceans, and the atmosphere. Although critical for catalyzing coupled biogeochemical processes, microorganisms have traditionally been left out of ESMs. Here, we generate a \uffe2\uff80\uff9ctop 10\uffe2\uff80\uff9d list of priorities, opportunities, and challenges for the explicit integration of microorganisms into ESMs. We discuss the need for coarse-graining microbial information into functionally relevant categories, as well as the capacity for microorganisms to rapidly evolve in response to climate-change drivers. Microbiologists are uniquely positioned to collect novel and valuable information necessary for next-generation ESMs, but this requires data harmonization and transdisciplinary collaboration to effectively guide adaptation strategies and mitigation policy.

", "keywords": ["Naturgeografi", "Earth", " Planet", "Climate Change", "Microbiology", "traits", "biogeochemistry", "Humans", "Ecosystem", "Biomedical and Clinical Sciences", "Bacteria", "biogeochemistry; modeling; traits; climate change", "modeling", "Opinion/Hypothesis", "Biodiversity", "Biological Sciences", "Medical microbiology", "Models", " Theoretical", "15. Life on land", "QR1-502", "6. Clean water", "Climate Science", "3. Good health", "Climate Action", "climate change", "Physical Geography", "Medical Microbiology", "13. Climate action", "Biochemistry and cell biology", "Biochemistry and Cell Biology", "Generic health relevance", "Klimatvetenskap"]}, "links": [{"href": "https://journals.asm.org/doi/pdf/10.1128/mbio.00455-24"}, {"href": "https://doi.org/20.500.11850/667312"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/mBio", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11850/667312", "name": "item", "description": "20.500.11850/667312", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/667312"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-08T00:00:00Z"}}, {"id": "10.5281/zenodo.15032281", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:24:43Z", "type": "Journal Article", "created": "2024-02-20", "title": "Biomonitoring: Developing a Beehive Air Volatiles Profile as an Indicator of Environmental Contamination Using a Sustainable In-Field Technique", "description": "

The wellbeing of the honey bee colonies and the health of humans are connected in numerous ways. Therefore, ensuring the wellbeing of bees is a crucial component of fostering sustainability and ecological harmony. The colony collapse disorder (CCD) phenomenon was first reported in 2006 when the majority of bee colonies in Europe died out, due to an increase in infections, contamination of hives with agrochemical pesticides, and persistent organic pollutants (POPs). Only 6 years after the emergence of CCD, more than 6.5 million premature deaths were reported, as a consequence of persistent human exposure to air pollution. The insect species such as the honey bee Apis mellifera L. and the air matrix inside the beehive can be used as tools in biomonitoring, instead of traditional monitoring methods. This may have advantages in terms of cost-effective bioindicators of the environmental health status, showing the ability to record spatial and temporal pollutant variations. In this study, we present the sustainable in-field usage of the portable membrane inlet mass spectrometry (MIMS) instrument for an instant and effective determination of the level of environmental pollution by analytical identification of hive atmosphere volatile organic compound (VOC) contaminants, polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), monocyclic aromatic hydrocarbons (BTEX) compounds, and pesticides. The samples were taken from hives located in urbanized and rural regions, highlighting variations in contamination. The MIMS results were benchmarked against a conventional laboratory sampling technique, such as GC-MS.

", "keywords": ["0301 basic medicine", "03 medical and health sciences", "13. Climate action", "11. Sustainability", "01 natural sciences", "0105 earth and related environmental sciences", "12. Responsible consumption", "3. Good health"]}, "links": [{"href": "https://www.mdpi.com/2071-1050/16/5/1713/pdf"}, {"href": "https://doi.org/10.5281/zenodo.15032281"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15032281", "name": "item", "description": "10.5281/zenodo.15032281", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15032281"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-19T00:00:00Z"}}, {"id": "10.5281/zenodo.15024429", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:42Z", "type": "Dataset", "title": "Climate change and the transformation of non-toxic sediments into toxic soils", "description": "RestrictedENG: In recent years, the floodplain lakes of the Vistula River in Poland have been drying up and the sediments have been transforming into soils. The data show changes in physical and chemical properties between the sediments and the soils that developed from them. The study included texture, pH, hydrolytic acidity, total alkaline cations, total nitrogen, organic carbon, total content of Al, Ca, Fe, K, Mg, Mn, Na, P as well as heavy metals (Cd, Cr, Cu, Ni, Pb, Zn) and their speciation. In addition, a toxicity assessment of both materials was performed. PL: W ostatnich latach starorzecza Wis\u0142y wysychaj\u0105, a osady przekszta\u0142caj\u0105 si\u0119 w gleby. Dane pokazuj\u0105 zmiany w\u0142a\u015bciwo\u015bci fizycznych i chemicznych mi\u0119dzy osadami a glebami, kt\u00f3re si\u0119 z nich wykszta\u0142ci\u0142y. Badania obejmowa\u0142y uziarnienie, pH, kwasowo\u015b\u0107 hydrolityczn\u0105, ca\u0142kowit\u0105 zawarto\u015b\u0107 kation\u00f3w zasadowych, azot ca\u0142kowity, w\u0119giel organiczny, ca\u0142kowit\u0105 zawarto\u015b\u0107 Al, Ca, Fe, K, Mg, Mn, Na, P, a tak\u017ce metali ci\u0119\u017ckich (Cd, Cr, Cu, Ni, Pb, Zn) i ich specjacj\u0119. Ponadto przeprowadzono ocen\u0119 toksyczno\u015bci obydwu materia\u0142\u00f3w.", "keywords": ["small lakes", "climate change", "13. Climate action", "sediments", "toxicity assessment", "15. Life on land", "heavy metals", "heavy metal speciation", "6. Clean water", "soil"], "contacts": [{"organization": "Gmitrowicz-Iwan, Joanna", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15024429"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15024429", "name": "item", "description": "10.5281/zenodo.15024429", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15024429"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-27T00:00:00Z"}}, {"id": "10.5281/zenodo.15188974", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:46Z", "type": "Report", "title": "Synthesis report of soil science capacity in Higher Education in Europe", "description": "Soils and their management are fundamental to a range of essential ecosystems, societal and climate challenges facing humanity. In Europe, 25-30% of agricultural soils are considered degraded, affecting food systems, GHG emissions, habitats and water ways. To manage soil resources for multiple uses require expertise and competence from farmers and landowners to policy makers and the private sector. This report provides a synthesis on the current state of soil science in European Higher Education (HE), as a baseline to assess competency and resources for capacity development in soil science. A total of 120 survey responses were received in 2020-2021, representing Higher Education Institutes (HEIs) in 25 European countries. Resultsshowed that only 13% of the HEIs hosted a dedicated soil science department. The majority of soil science is embedded in a department where environmental sciences, agricultural sciences and earth sciences are the main academic topics. Respondents reported an increased enrolment at BSc, and no change for MSc and PhD. Mixed trends could be seen for specific countries and universities, with both increases and decreases in student enrolment. Teaching capacity is high in soil science, with a majotrity of teachers having both PhD and training in HE teaching and learning. Yet, traditional lecture based teaching dominates soil science teaching and learning activities, both at BSc and MSc levels. At BSc level the proportion of courses that did not have any computer/modelling component was about 1/3. According to responses internationalisation is of great importance to many soil science HEI. Top three priorities for internationalisation were attracting students from abroad, providing more opportunities to send students abroad and developing strategic research partnerships. Finally, respondents\u2019 perception was that job opportunities for students have mainly increased in the past ten years, and one important explanation to this is an increased interest in soil, in relation to environmental concern, sustainability and climate change.", "keywords": ["2. Zero hunger", "13. Climate action", "4. Education", "11. Sustainability", "Soil Science", "15. Life on land", "12. Responsible consumption"], "contacts": [{"organization": "Villa Solis, Ana, Fahlbeck, Erik, Barron, Jennie,", "roles": ["creator"]}]}, "links": [{"href": "https://pub.epsilon.slu.se/28995/1/villa-solis-a-et-al-20220928.pdf"}, {"href": "https://doi.org/10.5281/zenodo.15188974"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15188974", "name": "item", "description": "10.5281/zenodo.15188974", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15188974"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.8090398", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:42Z", "type": "Journal Article", "created": "2020-12-16", "title": "Integrating Remote Sensing and Landscape Characteristics to Estimate Soil Salinity Using Machine Learning Methods: A Case Study from Southern Xinjiang, China", "description": "

Soil salinization, one of the most severe global land degradation problems, leads to the loss of arable land and declines in crop yields. Monitoring the distribution of salinized soil and degree of salinization is critical for management, remediation, and utilization of salinized soil; however, there is a lack of thorough assessment of various data sources including remote sensing and landscape characteristics for estimating soil salinity in arid and semi-arid areas. The overall goal of this study was to develop a framework for estimating soil salinity in diverse landscapes by fusing information from satellite images, landscape characteristics, and appropriate machine learning models. To explore the spatial distribution of soil salinity in southern Xinjiang, China, as a case study, we obtained 151 soil samples in a field campaign, which were analyzed in laboratory for soil electrical conductivity. A total of 35 indices including remote sensing classifiers (11), terrain attributes (3), vegetation spectral indices (8), and salinity spectral indices (13) were calculated or derived and correlated with soil salinity. Nine were used to model and estimate soil salinity using four predictive modelling approaches: partial least squares regression (PLSR), convolutional neural network (CNN), support vector machine (SVM) learning, and random forest (RF). Testing datasets were divided into vegetation-covered and bare soil samples and were used for accuracy assessment. The RF model was the best regression model in this study, with R2 = 0.75, and was most effective in revealing the spatial characteristics of salt distribution. Importance analysis and path modeling of independent variables indicated that environmental factors and soil salinity indices including digital elevation model (DEM), B10, and green atmospherically resistant vegetation index (GARI) showed the strongest contribution in soil salinity estimation. This showed a great promise in the measurement and monitoring of soil salinity in arid and semi-arid areas from the integration of remote sensing, landscape characteristics, and using machine learning model.

", "keywords": ["2. Zero hunger", "soil salinity; remote sensing; machine learning; predictive mapping", "soil salinity", "remote sensing", "machine learning", "13. Climate action", "Science", "Q", "0401 agriculture", " forestry", " and fisheries", "predictive mapping", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/24/4118/pdf"}, {"href": "https://doi.org/10.5281/zenodo.8090398"}, {"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": "10.5281/zenodo.8090398", "name": "item", "description": "10.5281/zenodo.8090398", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8090398"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-16T00:00:00Z"}}, {"id": "10.5281/zenodo.15314413", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:24:48Z", "type": "Report", "title": "Deliverable D6.12_Quality analysis protocols and quality guidelines (SOIL O-LIVE_HORIZON EUROPE ID 101091255)", "description": "D6.12. Sampling, handling, and analysis protocols and quality guidelines. (T.6.5)", "keywords": ["D6.12", "13. Climate action", "quality", "protocol", "15. Life on land", "soil o-live", "olive grove", "6. Clean water"], "contacts": [{"organization": "University of Ja\u00e9n", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15314413"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15314413", "name": "item", "description": "10.5281/zenodo.15314413", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15314413"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-20T00:00:00Z"}}, {"id": "10.5281/zenodo.15345256", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:24:50Z", "type": "Report", "title": "Deliverable D7.11_Annual sustainability report (SOIL O-LIVE_HORIZON EUROPE ID 101091255)", "description": "D7.11. Annual sustainability summary project report.T7.3", "keywords": ["13. Climate action", "D7.11", "11. Sustainability", "15. Life on land", "soil o-live", "sustainability", "6. Clean water", "deoleo", "report", "12. Responsible consumption"], "contacts": [{"organization": "DEOLEO", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15345256"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15345256", "name": "item", "description": "10.5281/zenodo.15345256", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15345256"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-20T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=+Climate&offset=5950&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=+Climate&offset=5950&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "prev", "title": "items (prev)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=+Climate&offset=5900", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=+Climate&offset=6000", "hreflang": "en-US"}], "numberMatched": 7604, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-04-04T11:13:06.286926Z"}