{"type": "FeatureCollection", "features": [{"id": "10.1046/j.1365-2486.2001.00388.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:49Z", "type": "Journal Article", "created": "2003-03-11", "title": "Chemistry And Decomposition Of Litter From Populus Tremuloides Michaux Grown At Elevated Atmospheric Co2 And Varying N Availability", "description": "Summary<p>It has been hypothesized that greater production of total nonstructural carbohydrates (TNC) in foliage grown under elevated atmospheric carbon dioxide (CO2) will result in higher concentrations of defensive compounds in tree leaf litter, possibly leading to reduced rates of decomposition and nutrient cycling in forest ecosystems of the future. To evaluate the effects of elevated atmospheric CO2on litter chemistry and decomposition, we performed a 111 day laboratory incubation with leaf litter of trembling aspen (Populus tremuloidesMichaux) produced at 36\uffe2\uff80\uff83Pa and 56\uffe2\uff80\uff83Pa CO2and two levels of soil nitrogen (N) availability. Decomposition was quantified as microbially respired CO2and dissolved organic carbon (DOC) in soil solution, and concentrations of nonstructural carbohydrates, N, carbon (C), and condensed tannins were monitored throughout the incubation. Growth under elevated atmospheric CO2did not significantly affect initial litter concentrations of TNC, N, or condensed tannins. Rates of decomposition, measured as both microbially respired CO2and DOC did not differ between litter produced under ambient and elevated CO2. Total C lost from the samples was 38\uffe2\uff80\uff83mg\uffe2\uff80\uff83g\uffe2\uff88\uff921litter as respired CO2and 138\uffe2\uff80\uff83mg\uffe2\uff80\uff83g\uffe2\uff88\uff921litter as DOC, suggesting short\uffe2\uff80\uff90term pulses of dissolved C in soil solution are important components of the terrestrial C cycle. We conclude that litter chemistry and decomposition in trembling aspen are minimally affected by growth under higher concentrations of CO2.</p>", "keywords": ["Ecology and Evolutionary Biology", "carbohydrates", "Quaking aspen", "forest-soil", "litter-plant", "nitrogen", "nitrogen-", "Microlysimeter", "soil-chemistry", "cycling-", "populus-tremuloides", "Geology and Earth Sciences", "Soil Carbon", "Microbiology of soils", "Carbon cycle", "04 agricultural and veterinary sciences", "GLOBAL-ECOLOGY", "chemical-composition", "Organic-matter", "soil-solution", "nutrient-availability", "Tannin", "leaf-litter", "Science", "decomposition-", "Nutrient enrichment", "Carbohydrates", "carbohydrates-", "respiration-", "carbon-dioxide-enrichment", "Nitrogen in soil", "michigan-", "carbon sinks", "C", "Nutrient budget of forests", "Litter", "Populus tremuloides", "Global Change", "tannins-", "Decomposition", "forest-litter", "Foliage", "Carbon dioxide effects on forest litter", "Climatic changes", "15. Life on land", "carbon-nitrogen-ratio", "Forest litter decomposition", "N Ratio", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "microbial-activities", "nitrogen-content"]}, "links": [{"href": "https://doi.org/10.1046/j.1365-2486.2001.00388.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1046/j.1365-2486.2001.00388.x", "name": "item", "description": "10.1046/j.1365-2486.2001.00388.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1046/j.1365-2486.2001.00388.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2001-01-01T00:00:00Z"}}, {"id": "109ef559-0459-4056-aff5-282374d01ff9-envidat", "type": "Feature", "geometry": null, "properties": {"updated": "2020-08-13T12:53:54Z", "type": "Dataset", "language": "en", "title": "Soil net nitrogen mineralisation across global grasslands", "description": "This dataset contains all data on which the following publication below is based.  Paper Citation:  Risch, A. C.; Zimmermann, S.; Ochoa-Hueso, R.; Sch\u00fctz, M.; Frey, B.; Firn, J. L.; Fay, P. A.; Hagedorn, F.; Borer, E. T.; Seabloom, E. W.; et al. Soil net nitrogen mineralisation across global grasslands. Nat. Commun. 2019, 10 (1), 4981 (10 pp.). doi.org/10.1038/s41467-019-12948-2  Please cite this paper together with the citation for the datafile.  We conducted coordinated measurements of realised and potential soil net Nmin, and assessed water holding capacity, bulk density, C and N content, texture, pH, pore space, microbial biomass, and archaeal (AOA) and bacterial (AOB) ammonia oxidiser abundance using identical materials and methods across 30 grasslands on six continents. The sites covered a globally relevant range of climatic and edaphic conditions. Climate data was obtained from worldclim - Global climate data https://www.worldclim.org/", "formats": [{"name": "XLS"}], "keywords": ["ch", "global", "grassland", "mineralization", "nutrient-network", "soil", "soil-biology", "soil-chemistry", "worldwide"], "contacts": [{"organization": "Anita C. Risch", "roles": ["creator"]}, {"organization": "https://envidat.ch/#/about", "roles": ["publisher"]}]}, "links": [{"href": "https://www.envidat.ch/#/metadata/soil-net-nitrogen-mineralisation-across-global-grasslands"}, {"href": "https://www.envidat.ch/dataset/soil-net-nitrogen-mineralisation-across-global-grasslands/resource/24108011-8b7b-4da0-9742-2f05576ecbc1"}, {"href": "http://data.europa.eu/88u/dataset/109ef559-0459-4056-aff5-282374d01ff9-envidat"}, {"rel": "self", "type": "application/geo+json", "title": "109ef559-0459-4056-aff5-282374d01ff9-envidat", "name": "item", "description": "109ef559-0459-4056-aff5-282374d01ff9-envidat", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/109ef559-0459-4056-aff5-282374d01ff9-envidat"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "38e806d6-5419-4db4-86dd-5f784613e2e6-bundesamt-fur-umwelt-bafu", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:26:18Z", "type": "Dataset", "title": "Geochemical soil atlas of Switzerland: Arsenic", "description": "Interpolierte Arsen-Konzentrationen (mg/kg Feinerde) in den Oberb\u00f6den (0\u201320 cm) der Schweiz. F\u00fcr die Ordinary Kriging Interpolationen (1 km x 1 km) wurden Messdaten von insgesamt 1'201 Standorten des Biodiversit\u00e4tsmonitorings Schweiz, der Nationalen Bodenbeobachtung und des europ\u00e4ischen geochemischen Bodenatlas ber\u00fccksichtigt. Die Element-Konzentrationen wurden in K\u00f6nigswasser Aufschl\u00fcssen (HNO\u2083:HCl:H\u2082O) von getrockneten (40\u00b0C), gesiebten (< 2 mm) und anschliessend gemahlenen Bodenproben mittels induktiv gekoppelter Plasma Massenspektrometrie analysiert. Standorte mit bekannter anthropogener \u00dcberpr\u00e4gung der Element-Konzentrationen (Punktquellen) wurden vorg\u00e4ngig ausgeschlossen. Bei den Ergebnissen des geochemischen Bodenatlas handelt es sich um eine Momentaufnahme der Element-Konzentrationen in den Oberb\u00f6den der Schweiz (Probenahmezeitraum 2011\u20132015). Die interpolierten Karten dienen der verbesserten Visualisierung von Regionen mit erh\u00f6hten resp. tiefen Konzentrationen. Es k\u00f6nnen daraus jedoch keine parzellenscharfen Informationen oder definitive R\u00fcckschl\u00fcsse auf die Geologie, die Bioverf\u00fcgbarkeit, die prozentualen Verteilung der geogenen und anthropogenen Quellen sowie die Belastung des Bodens abgeleitet werden. Zitat Publikation: J. E. Reusser, M. B. Siegenthaler, L. H. E. Winkel, D. W\u00e4chter, R. Kretzschmar, R. G. Meuli: Geochemischer Bodenatlas der Schweiz. Agroscope, Z\u00fcrich, 2023.", "formats": [{"name": "HTML"}], "keywords": ["atlante", "atlas", "aufbewahrungs-und-archivierungsplanung-aap-bund", "bgdi-bundesgeodaten-infrastruktur", "biogeochemie", "biogeochemistry", "biogeochimica", "biogeochimie", "boden", "bodenchemie", "bodenkartierung", "bodenqualitat", "bund", "carico-da-metalli-pesanti", "cartographie-des-sols", "ch", "charge-en-metaux-lourds", "chimica-del-suolo", "chimie-des-sols", "confederation", "confederazione", "conservation-and-archiving-planning-aap-confederation", "contenuto-in-nutrienti", "fsdi-federal-spatial-data-infrastructure", "heavy-metal-load", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "interpolation", "interpolazione", "mappatura-del-suolo", "metal-toxique", "metalli-tossici", "mineral-resources", "mineralische-bodenschatze", "nahrstoffgehalt", "nutrient-content", "pianificazione-della-conservazione-e-dellarchiviazione-aap-confederazione", "planification-de-la-conservation-et-de-larchivage-aap-confederation", "qualita-del-suolo", "qualite-du-sol", "ressources-minerales", "risorse-minerarie", "schwermetallbelastung", "soil", "soil-chemistry", "soil-mapping", "soil-quality", "sol", "suolo", "teneur-en-nutriments", "toxic-metal", "toxische-metalle"], "contacts": [{"organization": "boden@bafu.admin.ch", "roles": ["creator"]}, {"organization": "https://opendata.swiss/organization/bundesamt-fur-umwelt-bafu", "roles": ["publisher"]}]}, "links": [{"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.bafu.geochemischer-bodenatlas_schweiz_arsen/items/geochemischer-bodenatlas_schweiz_arsen"}, {"href": "https://map.geo.admin.ch/?layers=ch.bafu.geochemischer-bodenatlas_schweiz_arsen"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.agroscope.admin.ch/agroscope/de/home/themen/umwelt-ressourcen/boden-gewaesser-naehrstoffe/nabo/ergaenzende-untersuchungen/geochemischer-bodenatlas.html"}, {"href": "http://data.europa.eu/88u/dataset/38e806d6-5419-4db4-86dd-5f784613e2e6-bundesamt-fur-umwelt-bafu"}, {"rel": "self", "type": "application/geo+json", "title": "38e806d6-5419-4db4-86dd-5f784613e2e6-bundesamt-fur-umwelt-bafu", "name": "item", "description": "38e806d6-5419-4db4-86dd-5f784613e2e6-bundesamt-fur-umwelt-bafu", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/38e806d6-5419-4db4-86dd-5f784613e2e6-bundesamt-fur-umwelt-bafu"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "9c4d0d64-3ddd-419d-a002-5a725b778274-envidat", "type": "Feature", "geometry": null, "properties": {"updated": "2021-10-20T11:24:57Z", "type": "Dataset", "language": "en", "title": "Long-term recovery of above-and belowground interactions in restored grasslands", "description": "This dataset contains all data, on which the following publication below is based.  Paper Citation:  _Resch, M.C., Sch\u00fctz, M., Ochoa-Hueso, R., Buchmann, N., Frey, B., Graf, U., van der Putten, W.H., Zimmermann, S., Risch, A.C. (in review). Long-term recovery of above- and belowground interactions in restored grassland after topsoil removal and seed addition. Journal of Applied Ecology_  Please cite this paper together with the citation for the datafile.  Study area and experimental design The study was conducted in and around two nature reserves, Eigental and Altl\u00e4ufe der Glatt, which were located approximately 5 km apart (47\u00b027\u00b4 to 47\u00b029\u00b4 N, 8\u00b037\u00b4 to 8\u00b032\u00b4 E, 417 to 572 m a.s.l., Canton of Zurich, Switzerland; Figure S1 and S2, Table S1). Mean annual temperature and precipitation are 9.8 \u00b1 0.6 \u00b0C and 990 \u00b1 168 mm (Kloten climate station 1988-2018; MeteoSchweiz, 2019). TFor this study, we used a space-for-time approach based on eight restoration sites that were between 3 and 32 years old. We measured recovery and restoration success by comparing the restored grasslands with intensively managed and semi-natural grasslands. Using a space-for-time approach requires high similarities in historical properties of the site, such as soil conditions and management regimes, to assure that temporal processes are appropriately represented by spatial patterns (Walker et al., 2010). This was the case in our study. The restored sites had similar soil conditions (i.e., soil type, structure, water availability) as the targeted semi-natural grasslands, while they shared the same agricultural legacy with intensively managed grasslands, i.e., biomass harvest and fertilization (manure and/or slurry) three to five times a year as well as tillage. We randomly established three 5 m x 5 m (25-m2) plots for plant identification and three 2 m x 2 m (4-m2) subplots for soil biotic and abiotic data collection at least 2 m away from the 25-m2 plots in each restoration site. Sites of similar age were grouped into four age classes: Y.4 (3 & 4 years after restoration), Y.18 (17 & 19 years), Y.24 (23 & 25 years), and Y.30 (27 & 32 years). Six intensively managed (Initial) and six semi-natural grassland (Target) sites complemented the experimental set-up, for a total of 36 plots. All plots were sampled under similar conditions, i.e., day of the year, air temperature, soil moisture, and time since last rain event, in June/July 2017 (intensively managed and semi-natural plots) and 2018 (restored plots).  Collection of plants and selected soil biota data Plant species cover (in %) was visually estimated in each 25-m2 plot in mid-June (Braun-Blanquet, 1964; nomenclature: Lauber & Wagner, 1996). We calculated Shannon diversity and assessed plant community structure. We included soil microbial (fungi, procaryotes) and nematodes in our study as they represent the majority of soil biotic diversity and abundance (Bardgett & van der Putten, 2014), cover various trophic levels of the soil food web (Bongers & Ferris, 1999), and play key roles in soil functioning and ecosystem processes (Bardgett & van der Putten, 2014). In particular, soil nematodes were found to be well suited belowground indicators to evaluate recovery/development after restoration (e.g. Frouz, et al. 2008; Kardol et al., 2009; Resch et al., 2019). We randomly collected ten soil cores (2.2 cm diameter x 12 cm depths; sampler from Giddings Machine Company, Windsor, USA) in the 4-m2 subplots to assess soil nematode and microbial (fungal, prokaryotic) diversities and community structures. For soil nematodes, eight of the soil cores were combined and gently homogenized, placed in coolers and stored at 4 \u00b0C and transported to the laboratory (Netherlands Institute of Ecology, NIOO, Wageningen, Netherlands) within three days after collection. Free-living nematodes were extracted from 200 g of fresh soil using Oostenbrink elutriators (Oostenbrink, 1960). After extraction, each sample was divided into three subsamples, two for molecular identification and one to determine nematode abundance (see Resch et al., 2019). For the molecular work, two subsamples were stored in 70% ethanol (final volume 10 mL each) and transported to the laboratory at the Swiss Federal Research Institute WSL (Birmensdorf, Switzerland). Each subsample was reduced to roughly 200 \u03bcL by centrifugation and removal of the supernatant. The remaining ethanol was vaporized (65 \u00b0C for 3 h). Thereafter, 180 \u03bcL ATL buffer solution (Qiagen, Hilden, Germany) was immediately added and samples were stored at 4 \u00b0C until further processing. From these samples, nematode metagenomic DNA was extracted using the DNeasy Blood & Tissue Kit (Qiagen, Hilden, Germany) according to the manufacturer`s protocol, except for the incubation step which was run at 56 \u00b0C for 4 h. PCR amplification of the V6-V8 region of the eukaryotic small-subunit (18S) was performed with 7.5 \u03bcL of genomic DNA template (ca. 1 ng/\u03bcL) in 25 \u03bcL reactions containing 5 \u03bcL PCR reaction buffer, 2.5 mM MgCL2, 0.2 mM dNTPs, 0.8 \u03bcM of each primer (NemF: Sapkota & Nicolaisen, 2015; 18Sr2b: Porazinska et al., 2009), 0.5 \u03bcL BSA, and 0.25 \u03bcL GoTaq G2 Hot Start Polymerase (Promega Corporation, Madison, USA). Amplification was using an initial DNA denaturation step of 95 \u00b0C for 2 min, followed by 35 cycles at 94 \u00b0C for 40 sec, 58 \u00b0C for 40 sec, 72 \u00b0C for 1 min, and a final elongation step at 72 \u00b0C for 10 min. Filtering, dereplication, sample inference, chimera identification, and merging of paired-end reads was implemented using the DADA2 pipeline (v.1.12; Callahan et al., 2016) to finally assign amplicon sequence variants (ASVs) as taxonomic units. We combined and homogenized the remaining two soil cores to assess soil microbes, placed them in coolers (4 \u00b0C) and transported them to the laboratory at WSL. Metagenomic DNA was extracted from 8 g sieved soil (2 mm) using the DNAeasy PowerMax Soil Kit (Qiagen, Hilden, Germany) according to the manufacturer\u00b4s protocol. PCR amplification of the V3-V4 region of the small-subunit (16S) of prokaryotes (i.e., bacteria and archaea) and the ribosomal internal transcribed spacer region (ITS2) of fungi was performed with 1 ng of template DNA using PCR primers and conditions as previously described (Frey et al., 2016). PCRs were run in triplicates, pooled and sent to the Genome Quebec Innovation Centre (Montreal, QC, Canada) for barcoding using the Fluidigm Access Array technology (Fluidigm) and paired-end sequencing on the Illumina MiSeq v3 platform (Illumina Inc., San Diego, USA). Quality filtering, clustering into operational taxonomic units (OTUs, 97% similarity cutoffs) and taxonomic assignment were performed as previously described (Resch et al., 2021).Taxonomic classification of nematode, prokaryotic and fungal sequences was conducted querying against the most recent versions of PR2 (v.4.11.1; Guillou et al., 2013), SILVA (v.132; Quast et al., 2013), and UNITE (v.8; Nilsson et al., 2019) reference sequence databases. Taxonomic assignment cutoffs were set to confidence rankings \u2265 0.8 (below ranked as unclassified). Prokaryotic OTUs assigned to mitochondria or chloroplasts as well as OTUs or ASVs assigned to other than Fungi or Nematoda were manually removed prior to data analysis. The three datasets were filtered to discard singletons and doubletons. Taxonomic abundance matrices were rarefied to the lowest number of sequences per community to achieve parity of the total number of reads between samples (Prokaryotes: 10,929 reads; Fungi: 18,337 reads; Nematodes: 6,662 reads). We calculated Shannon diversity and assessed community structures for soil nematodes, prokaryotes and fungi based on their relative abundances of ASV or OTU at the taxon level.  Collection of soil physical and chemical properties We randomly collected one undisturbed soil core (5 cm diameter, 12 cm depth) per 4-m2 subplot using a steel cylinder that fit into the soil corer. The cylinders were capped to avoid disturbance during transport and used to measure field capacity, rock content and fine earth density as previously described (Resch et al., 2021). We randomly collected another three soil cores (5 cm diameter, 12 cm depths) in each 4-m2 subplot to determine soil chemical properties. The cores were pooled, dried at 60 \u00b0C for 48 h and passed through a 2 mm sieve. We measured soil pH (CaCl2) on dried samples, total nitrogen (N) and organic carbon (C) concentration on dried and fine-ground samples (\u2264 0.5 mm; for details see Resch et al., 2021). We calculated total N and organic C pools after correcting its concentration for soil depth, rock content and fine earth density.", "formats": [{"name": "XLS"}], "keywords": ["bacteria", "biodiversity", "ch", "fungi", "grassland", "nematodes", "plants", "restoration", "soil", "soil-biodiversity", "soil-biology", "soil-chemistry", "topsoil-removal"], "contacts": [{"organization": "Anita C. Risch", "roles": ["creator"]}, {"organization": "https://envidat.ch/#/about", "roles": ["publisher"]}]}, "links": [{"href": "https://www.envidat.ch/#/metadata/long-term-recovery-of-above-and-belowground-interactions-in-restored-grasslands"}, {"href": "https://www.envidat.ch/dataset/long-term-recovery-of-above-and-belowground-interactions-in-restored-grasslands/resource/046d129c-3bc2-4214-8d9c-ffbf8659b245"}, {"href": "https://www.envidat.ch/dataset/long-term-recovery-of-above-and-belowground-interactions-in-restored-grasslands/resource/143c6e0e-1aa5-4510-b333-9c00e99c59fd"}, {"href": "https://www.envidat.ch/dataset/long-term-recovery-of-above-and-belowground-interactions-in-restored-grasslands/resource/3f35aa3b-5f64-4d55-907f-ac6c1f2d490c"}, {"href": "https://www.envidat.ch/dataset/long-term-recovery-of-above-and-belowground-interactions-in-restored-grasslands/resource/3f820b86-ee6b-4466-bc40-4346eac4cbcd"}, {"href": "https://www.envidat.ch/dataset/long-term-recovery-of-above-and-belowground-interactions-in-restored-grasslands/resource/64d9bac3-d7ce-4ae9-8922-f0ee496292a9"}, {"href": "https://www.envidat.ch/dataset/long-term-recovery-of-above-and-belowground-interactions-in-restored-grasslands/resource/9940b2c1-35a6-46e8-9604-4fb866f1ddd4"}, {"href": "https://www.envidat.ch/dataset/long-term-recovery-of-above-and-belowground-interactions-in-restored-grasslands/resource/ed2658c5-c2c2-4b13-b29a-187f199f9f47"}, {"href": "http://data.europa.eu/88u/dataset/9c4d0d64-3ddd-419d-a002-5a725b778274-envidat"}, {"rel": "self", "type": "application/geo+json", "title": "9c4d0d64-3ddd-419d-a002-5a725b778274-envidat", "name": "item", "description": "9c4d0d64-3ddd-419d-a002-5a725b778274-envidat", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/9c4d0d64-3ddd-419d-a002-5a725b778274-envidat"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "fd3c8796-d6e7-4135-aafa-92c97a02454a", "type": "Feature", "geometry": null, "properties": {"updated": "2024-02-26T01:54:37", "type": "Dataset", "language": "en", "title": "Identification and mapping of heavy metal pollution in soils of a sports ground in Galway City", "description": "Heavy metals in urban soils continue to attract attention because of their potential long-term effects on human health. During a previous investigation of urban soils in Galway City, Ireland, a pollution hotspot of Pb, Cu, Zn and As was identified in the sports ground of South Park in the Claddagh. The sports ground was formerly a rubbish dumping site for both municipal and industrial wastes. In the present study, a portable X-ray fluorescence (PXRF) analyser was used to obtain rapid in-situ elemental analyses of the topsoil (depth: about 5\u201310 cm) at 200 locations on a 20 \u00b7 20-m grid in South Park. Extremely high values of the pollutants were found, with maximum values of Pb, Zn, Cu and As of 10,297, 24,716, 2224 and 744 mg/kg soil, respectively. High values occur particularly where the topsoil cover is thin, whereas lower values were found in areas where imported topsoil covers the polluted substrate. Geographic Information Systems (GIS) techniques were applied to the dataset to create elemental spatial distribution maps,  three-dimensional images and interpretive hazard maps of the pollutants in the study area. Immediate action to remediate the contaminated topsoil is recommended to safeguard the health of children who play at the sports ground.", "formats": [{"name": "PDF"}], "keywords": ["chemistry", "claddagh", "environment", "environmental-damage", "environmental-monitoring-facilities", "environmental-quality", "galway", "geography", "geoscientificinformation", "gis", "hazard-assessment", "heavy-metal", "ie", "ireland", "pedosphere", "pollutant", "pollution", "portable-xrf", "soil", "soil-chemistry", "soil-damage", "soil-pollutant", "soil-pollution", "soil-quality", "soil-science", "sports-ground", "urban-soil"], "contacts": [{"organization": "NUI Galway", "roles": ["creator"]}, {"organization": "https://data.gov.ie/organization/nui-galway", "roles": ["publisher"]}]}, "links": [{"href": "http://data.marine.ie/downloads/NUIG/SouthParkSoils.zip"}, {"href": "http://data.marine.ie/downloads/NUIG/South_Park_EGAH_2008.pdf"}, {"href": "http://data.europa.eu/88u/dataset/fd3c8796-d6e7-4135-aafa-92c97a02454a"}, {"rel": "self", "type": "application/geo+json", "title": "fd3c8796-d6e7-4135-aafa-92c97a02454a", "name": "item", "description": "fd3c8796-d6e7-4135-aafa-92c97a02454a", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/fd3c8796-d6e7-4135-aafa-92c97a02454a"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=soil-chemistry&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=soil-chemistry&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=soil-chemistry&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=soil-chemistry&offset=5", "hreflang": "en-US"}], "numberMatched": 5, "numberReturned": 5, "distributedFeatures": [], "timeStamp": "2026-05-26T05:13:50.959119Z"}