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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. 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vases - mati\u00e8re organique - Seine - France", "keywords": ["environmental-monitoring-facilities", "fr", "geology", "sea-regions", "soil"], "contacts": [{"organization": "Laboratoire M2C", "roles": ["creator"]}]}, "links": [{"href": "http://data.europa.eu/88u/dataset/-ad294c4d-cd55-4dfa-b9f4-f3e1be7e022b-"}, {"rel": "self", "type": "application/geo+json", "title": "-ad294c4d-cd55-4dfa-b9f4-f3e1be7e022b-", "name": "item", "description": "-ad294c4d-cd55-4dfa-b9f4-f3e1be7e022b-", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/-ad294c4d-cd55-4dfa-b9f4-f3e1be7e022b-"}, {"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": "61a82e3b3bef4e105fb6dfb22aa5483b", "type": "Feature", "geometry": null, "properties": {"updated": "2024-09-16T07:21:34.667849Z", "type": "Dataset", "language": "en", "title": "Tree stem-atmosphere greenhouse gas fluxes in a boreal riparian forest", "description": "Forests are active components of the global greenhouse gas cycle, but greenhouse gas fluxes between tree stems and the atmosphere remain poorly constrained. Here, we provide field data on tree stem atmosphere fluxes of carbon dioxide, methane and nitrous oxide in 14 spruce trees (Picea abies) and 14 birch trees (Betula pendula) in a Swedish boreal riparian buffer zone. The data was collected at Trollbergets Experimental Area, Vindeln municipality, Sweden, roughly on a monthly basis between May 2021 and May 2023. Stem fluxes were measured at 30 cm above ground in all trees and along height profiles at 80 and 160 cm in four selected trees. For ecosystem context, data on forest floor - atmosphere fluxes of carbon dioxide, methane and nitrous oxide from 12 plots are provided. Data on carbon dioxide and methane fluxes are from in situ measurements of flux chambers and data on nitrous oxide fluxes is from manual grab sampling of flux chambers. Ancillary data include carbon dioxide, methane and nitrous oxide partial pressures in soils, groundwater level, groundwater temperature, snow depth, tree diameter at breast height, tree height, distance to a nearby stream, and sampling sites coordinates. The data are described in detail in the scientific paper: Klaus, M., \u00d6quist, M. and Machacova, K (in prep.): Tree stem-atmosphere greenhouse gas fluxes in a boreal riparian forest.", "keywords": ["anla\u0308ggningar-fo\u0308r-miljo\u0308o\u0308vervakning", "atmosfa\u0308riska-fo\u0308rha\u030allanden", "atmospheric-conditions", "bark", "boreal-forests", "carbon-dioxide", "environmental-impact", "environmental-monitoring-facilities", "forest-trees", "gas-flux", "greenhouse-gases", "habitats-and-biotopes", "hydrografi", "hydrography", "manual-observation", "mark", "methane", "naturtyper-och-biotoper", "nitrous-oxide", "riparian-zones", "se", "seasonal-variation", "soil", "soil-air", "soil-hydrology", "spatial-variations"], "contacts": [{"organization": "Marcus Klaus", "roles": ["creator"]}, {"organization": "http://dataportal.se/organisation/SE2021002817", "roles": ["publisher"]}]}, "links": [{"href": "http://data.europa.eu/88u/dataset/https-doi-org-10-5878-9jqq-s279"}, {"href": "https://doi.org/10.5878/9jqq-s279"}, {"href": "https-doi-org-10-5878-9jqq-s279"}, {"rel": "self", "type": "application/geo+json", "title": "61a82e3b3bef4e105fb6dfb22aa5483b", "name": "item", "description": "61a82e3b3bef4e105fb6dfb22aa5483b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/61a82e3b3bef4e105fb6dfb22aa5483b"}, {"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": "8ee56b00313237b0440ca92cc6d3b51d", "type": "Feature", "geometry": null, "properties": {"updated": "2022-03-07T08:53:59.948695Z", "type": "Dataset", "language": "en", "title": "PERMTHAW dataset 1, including soil biochemical, GHG flux and microbiological data from the tussock tundra sites Latnjajaure and Corrvosj\u00e1vri in northern Sweden", "description": "Permafrost soils contain approximately 1672 petagram carbon (C), twice the amount of the current atmosphere, and constitute 50% of the world\u2019s belowground C pool. Along with the current change in climate these high latitudinal soils experience increased temperatures, more than any other region, with permafrost degradation as a result. Such thaw of permafrost releases ancient organic matter that has been stored in the frozen soils for centuries. Following microbial degradation, this organic matter can be released to the atmosphere as carbon dioxide (CO2) and methane (CH4), further influencing the climate systems. Thus, a changed climate leads to server alterations of the carbon (C)  balance in Arctic and high altitude ecosystems. However, research up to today has mostly focused on the impact of permafrost thaw and the time horizon immediately following this degradation.  This project aims for understanding the future that lies ahead, following thaw and establishment of new non-permafrost ecosystems, and how the predicted climate variability will influence these soils on a decadal timescale. By using a natural occurring permafrost degradation transects, this project investigates how the C cycling changes following thaw.  Site description: Two tussock tundra sites was used in this study: at lake Latnjajaure (68\u00b021.2\u2019N, 18\u00b029.3\u2019E and 981 m a.s.l.) and at lake Corrvosj\u00e1vri (68\u00b024.9\u2019N, 18\u00b038.1\u2019E, and 814 m a.s.l.). Both sites and the initial vegetation description and method for vegetation survey (repeated in this study) are described in Molau 2010. At each site 9 soil collar (diameter of 20cm) was installed in groups of three.  Data: Vegetation data, see Molau 2010. CH4 and CO2 measurements were conducted with an ultraportable greenhouse gas analyser (Los Gatos Research, San Jose, California, U.S.) connected to a transparent chamber (height: 20 cm, diameter 20cm). Soil temperatures (hand held thermometer) and soil moisture (Delta-T device) was measured along with each flux measurement. Soil temperatures were also measured at -2 and -30 cm using a soil probe and at TinyTag logger and used for comparison using temperatures averaged for each measurement period. Soil biogeochemical and microbial data was sampled at surface (0-5cm) and deep (15-30cm) soils using a soil corer at bi-weekly interval during growing-season 2017. Flux measurements were conducted at bi-weekly intervals also in 2016 and 2018.  Molau U. 2010. Long-term impacts of observed and induced climate change on tussock tundra near its southern limit in northern Sweden. Plant Ecol Divers 3:29\u201334.  Formats: .xlsx and sheetwise semicolon-separated .csv (UTF-8). Column headings are verbose where possible. Refer to the soil data readme sheet for further heading details.", "keywords": ["alifatisk-fo\u0308rening", "aliphatic-compound", "anla\u0308ggningar-fo\u0308r-miljo\u0308o\u0308vervakning", "carbon-dioxide", "climate", "environmental-monitoring-facilities", "habitats-and-biotopes", "klimat", "koldioxid", "mark", "methane", "microbiology", "mikrobiologi", "naturtyper-och-biotoper", "permafrost-ecosystem", "permafrost-melt", "permafrost-methane-release", "se", "soil"], "contacts": [{"organization": "Mats Bj\u00f6rkman", "roles": ["creator"]}, {"organization": "http://dataportal.se/organisation/SE2021003153", "roles": ["publisher"]}]}, "links": [{"href": "http://data.europa.eu/88u/dataset/https-doi-org-10-5878-q65n-vv46"}, {"href": "https://doi.org/10.5878/q65n-vv46"}, {"href": "https-doi-org-10-5878-q65n-vv46"}, {"rel": "self", "type": "application/geo+json", "title": "8ee56b00313237b0440ca92cc6d3b51d", "name": "item", "description": "8ee56b00313237b0440ca92cc6d3b51d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/8ee56b00313237b0440ca92cc6d3b51d"}, {"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": "4a8344c0058856bab03b751feaaae78e", "type": "Feature", "geometry": null, "properties": {"updated": "2024-04-11T08:26:16.206371Z", "type": "Dataset", "language": "en", "title": "Modelling best management practices for reducing nutrient losses from agricultural catchments under different climate trajectories.", "description": "This dataset contains all the geospatial information and HYPE inputs and outputs related to the publication of \"How to achieve a 50% reduction in nutrient losses from agricultural catchments under different climate trajectories?\".   In this study, we build high-resolution geospatial data to build a semi-distributed water quantity and water quality model for two Swedish Agricultural Catchments in Hydrological Predictions of the Environment (HYPE). We calibrated and validated the model using discharge and water quality monitoring data from the streams in our study sites.  We subsequently used the calibrated model to forecast the impacts of climate change on nutrient (Inorganic Nitrogen and Total Phosphorus) loads under three relative concentration pathways (RCP2.6, RCP4.5, and RCP 8.5) and three periods (2022-2035, 2050-2065, and 2085-2100). Finally, we backcasted a 50% reduction in nutrient loads using  catchment mitigation scenarios (20% reduction in fertilisation, increasing in floodplain area, implementation of cover crops). This dataset contains all the monitoring data, model inputs (including parameterisation), and the model outputs. Moreover, it contains the R scripts with summary statistics and plotting and the summarised outputs of all model runs in csv files.  The dataset contains three folders.  1. The Geopatial Information folder contains all the geospatial data for both study catchments. These include land cover, soil, DEM, and finally the Soil Land Cover maps, which were used to build the HYPE models. The coding of the geospatial shapefiles and raster files can be found in the Readme document.  2. The HYPE_model folder contains all of the HYPE model building blocks necessary to run the calibrated model for Hestadb\u00e4cken and Tullstorp\u00e5n in seperate folders. It also contains the goodness-of-fit outcomes for both the calibrated model and the validation period. This folder also contains the future climate forecasts and the different mitigation scenario testing outcomes.  3. The outputs_and_data_analysis folder contains csv files with all of the model outcomes for IN, TP, and Q in both catchments for all combinations of RCP, period, and climate models. It also contains R scripts used to calculate trends, summary statistics, t-tests, and plot the figures. 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It contains hourly measurements of porewater CO2 concentration, temperature at different depths along a vertical peat profile. Hourly measurements of groundwater table position, stream discharge and stream CO2 concentration at the peatland outlet are also included along with meteorological and C exchange measurements collected via eddy-covariance at the Deger\u00f6 Stormyr ICOS station. The data is used in part to calculate apparent vertical diffusion coefficient in peat porewater and buoyancy frequency. All analysis were performed on R code. 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Data was collected from a site in Berkshire (UK), where a field-scale, randomised block experiment had been implemented to investigate how the establishment of a variety of plant functional groups (grasses, legumes, and other flowering forbs) using different cultivation (minimum tillage and deep ploughing) and management (cutting, grazing and their intensity) techniques, affected the provision of various ecosystem services. 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Soil dry bulk density, estimated soil porosity, soil moisture and soil moisture retention (to 100 cm suction) were determined through laboratory analysis of soil samples collected at five depths between the surface and 100 cm below ground level (where possible). Surface soil infiltration rates were measured, and soil saturated hydraulic conductivity was calculated at 25 cm and 45 cm depths (where possible). Field scale point data were collected at seven sites in the Thames Catchment, with three sub-groups of sites under different land use and management practices. The first land management group included three arable fields in the Cotswolds, Gloucestershire, on shallow soils over Limestone with no grass in rotation, herbal leys in rotation or rye and clover in rotation. The second group included two arable fields in near Wantage, Oxfordshire, on free draining loamy soils over chalk with conventional management or controlled traffic. The final group included a permanent grassland and broadleaf woodland on slowly permeable soil over mudstone near Oxford, Oxfordshire. Data were collected in representative infield areas; trafficked areas (e.g. tramlines or animal tracks), and untrafficked margins. Samples and measurements were taken between April 2021 and October 2021, with repeats taken before and after harvest. Soil samples were collected using Eijkelkamp 07.53.SC sample ring kit with closed ring holder and the Edelman auger and Stony auger when required. Infiltration measurements were taken using Mini Disk Infiltrometers. Soil saturated hydraulic conductivity was measured using Guelph permeameters. Soil bulk density and porosity were calculated using oven drying methods. Soil moisture retention was calculated using an Eijelkamp Sandbox. This dataset was collected by UKCEH as part of the 'Land management in lowland catchments for integrated flood risk reduction' (LANDWISE) project. LANDWISE seeks to examine how land use and management can be used to reduce the risk of flooding for communities. LANDWISE is one of three projects comprising the Natural Environment Research Council Natural Flood Management Research Programme. The work was supported by the Natural Environment Research Council Grant NE/R004668/1. 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Sites were active at different timescales between 2008 and 2020. The dataset represents a subset of the variables measured at each site. The full range of variables monitored at each location can be accessed via EIDC records and/or by contacting the authors. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. 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The study was funded by the UK Natural Environment Research Council under the Macronutrient Cycling Research Programme, as part of the Long-Term, Large-Scale (LTLS) project (Grant no. NE/J011533/1). 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Soil cores were taken to a depth of 1 metre and divided into 15 cm depth increments. Soil carbon (kg carbon per metre squared) was determined for all soil depth increments. The soil samples were taken in the Conwy catchment in North West Wales. Samples were collected in the spring of 2014 across a land use intensification gradient ranging from semi-natural peatlands, acid grasslands to improved grasslands and arable fields. Soil parameters were tested across a land use intensification gradient to detect parameters that can predict aboveground biomass production across different land management types. Data were used to enhance the predictions of biomass production in the Joint UK Land Environment Simulator model (JULES). Measurements informed the improvement of the nitrogen cycle component in the model. This dataset is part of a data series where plant and soil measurements were collected together to increase our understanding of coupled aboveground and belowground processes. Measurements were undertaken by trained members of staff from Bangor University, the Centre for Ecology & Hydrology and Exeter University. This data was collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf. 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Soils were sampled from treeline mountain birch forest and stands of tundra willow that were wither 'girdled' (connection between leaves and roots cut by disrupting the phloem transport) or \u2018control\u2019 (no treatment), two years prior. 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The collection contains five data sets. 1) soil bulk density (0-5 centimetre) and saturated water content 2) Unsaturated hydraulic conductivity measured in the field at tensions of -2 and -6 centimetre using a mini disk infiltrometer 3) Unsaturated hydraulic conductivity measured using a HYPROP (TM) instrument, an instrument which determines the hydraulic properties of soil samples, on soil cores taken from the field plots 4) Soil water release curves for wet soil corresponding to the hydraulic conductivity measurements made using a HYPROP in the laboratory on cores from the field 5) Soil water release curve data for dry soil measured using a WP4 potentiometer. The data has been quality checked, and incorrect or missing values removed, data has not been infilled and not available (NA's) have been added where there is no data. Data was collected between the end of 2010 and early 2012. Data sets 1, 3 and 4 were collected in April and September, 2011, data set 2 in May, 2012 and data set 5 in November, 2010. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data were collected to monitor site specific soil properties at a specific reference time. 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