Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
28
datasets available to search
ShareScore release 0.9.0
Dataset results
28 results for “EJPSOIL”
SERENA EJPSOIL BE Flanders soil sealing cookbook
<div> <p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national and European scales.<br><br>The data was prepared according to the Level 2 methodology of the SERENA soil sealing cookbook. For Belgium, the application was carried out at the regional scale for the Flanders region. <br> <br>The automatically generated yearly soil sealing maps (1 m resolution GeoTIFF rasters) combine “known” sealing from administrative databases (buildings and transport infrastructure) with modelled sealing based on artificial intelligence. Administrative databases do not (adequately) cover parking lots, private driveways and garden terraces, which are a substantial part of the sealed area in Flanders. Hence, a machine learning model was built for deriving this remaining sealing from aerial imagery. For this purpose, an assessor manually labeled the sealed parts on a subset of the images. Based on this training set, a convolutional neural network model was used to produce a sealing probability map, which was converted to a binary modelled sealing map. Finally, a continuity correction was applied to ensure a temporally consistent result across the yearly maps. <br><br>The objective of the SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. The selected indicator was the degree of soil sealing. By evaluating this degree at two moments in time, the change in soil sealing can be determined. <br> <br>The following data were used: </p> </div> <div> <ul> <li> <p><a href="https://www.vlaanderen.be/digitaal-vlaanderen/onze-oplossingen/basiskaart-vlaanderen-grb" target="_blank" rel="noopener">Large-scale Reference Database</a> (Grootschalig Referentiebestand or Basiskaart), the digital topographic reference map for Flanders (vector) </p> </li> </ul> </div> <div> <ul> <li> <p><a href="https://www.vlaanderen.be/datavindplaats/catalogus/orthofotomozaiek-middenschalig-winteropnamen-0" target="_blank" rel="noopener">Medium-scale annual winter aerial images</a> of Flanders (15 or 25 cm raster resolution)</p> </li> </ul> <p><br>This dataset is originally hosted at Geopunt (<a href="https://www.geopunt.be/" target="_blank" rel="noopener">www.geopunt.be</a>). For the most up-to-date version of the dataset, please access the data from the <a href="https://www.vlaanderen.be/datavindplaats/catalogus/jaarlijkse-bodemafdekkingskaart-jaarbak-1-m-resolutie-2021" target="_blank" rel="noopener">Geopunt repository</a>.</p> </div>
EJPSOIL CarboSeq crop and soil management database
<p><span><strong>CarboSeq crop and soil management database :</strong> </span>The database of the EJPSOIL CarboSeq WP2 with (meta)data of long term agricultural field experiments for Tier2 (SOC) and where available Tier 3 (carbon input) from Europe</p>
EJPSOIL - SoilX graphics
<p>SoilX graphics illustrate the differences between conventional and sustainable soil management practices. <span><span>Sustainable</span> <span>soil management practices include</span></span><span> </span></p> <div> <div> <ul> <li> <p><span><span>diversified crop rotations,</span></span><span><span> </span></span><span> </span></p> </li> </ul> </div> </div> <div> <div> <ul> <li> <p><span><span>cover cropping,</span></span><span><span> </span></span><span> </span></p> </li> </ul> </div> <div> <ul> <li> <p><span><span>organic amendments,</span></span><span><span> </span></span><span> </span></p> </li> </ul> </div> <div> <ul> <li> <p><span><span>residue incorporation, and</span></span> <span><span> </span></span><span> </span></p> </li> </ul> </div> <div> <ul> <li> <p><span><span>reduced tillage.</span></span></p> </li> </ul> <p><span>The project hypothesis is that under sustainable management, agricultural soils are expected to accumlate more soil organic carbon and to develop</span><span><span> more favorable soil structure.</span></span></p> </div> </div>
EJPSOIL_SERENA: Net Ecosystem Productivity of Peipsiääre municipality, Estonia
<p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales. </p> <p>This dataset is based on the evaluation of Net Ecosystem Productivity (NEP), a critical measure of carbon dynamics and ecosystem health reflecting the balance between gross primary productivity and total ecosystem respiration. Data were gathered for the SERENA GHG Cookbook application and include: Gross Primary Productivity (GPP) data from the 2014 MODIS dataset accessed via MODISTools in R, daily soil moisture data from Zhang et al. (2023), climate data comprising maximum and minimum monthly temperatures for 2014 from World Climate datasets, cropland data filtered for wheat from 2018 obtained from Sentinel-1 and LUCAS observations, and municipal boundaries sourced as vector data from the Republic of Estonia Land Board's Geoportal. </p> <p>The analysis focuses on NEP in the Peipsiääre municipality under North European pedo-climatic conditions during the active growing season. The dataset comprises two files: one representing the 8-day NEP in wheat fields of the Peipsiääre municipality (measured in gC m-2 for an 8-day period) and the other indicating the NEP in wheat fields during May (measured in gC m-2 during May). These files are titled SERENA_EJPSOIL_EE_GHG Cookbook_NEP_April8days_wheat_yields and SERENA_EJPSOIL_EE_GHG Cookbook_NEP_May_wheat_yield, respectively, and are both formatted in GPKG.</p> <p> </p>
SERENA EJPSOIL BE Flanders SOCLOSS SOC 0-20cm cookbook
<p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p> <p>This SERENA dataset (100 m resolution) of soil orgnanic carbon concentration (0-20 cm soil layer) for Flanders was mainly produced to test the methodology of the SERENA SOC LOSS cookbook of the European SERENA EJP SOIL project. The data was prepared according to the methodology of SERENA SOC LOSS cookbook. The objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. Soil organic carbon concentration was used as an indicator for soil organic carbon loss (ST). The map was based on digital soil mapping according to the method used in the EJP SOIL project WP6: Digital soil mapping approach with random forest using ISRIC workflow seedling. To create the soil organic carbon concentration map, we used soil organic carbon data of the regional <a href="https://omgeving.vlaanderen.be/nl/klimaat-en-milieu/bodem-en-ondergrond/vlaamse-koolstofmonitoring-hoeveel-koolstof-zit-er-in-de-bodem">soil organic carbon monitoring network Cmon</a> in Flanders (0-10 and 10-30 cm soil layer) from the period 2021-2024. The soil organic carbon concentration of the 0-20 cm was derived from the 0-10 and 10-30 cm Cmon data. The following auxiliary data was used: Digitale bodemkaart van het Vlaams Gewest: bodemtypes; Regional climate data; Landgebruik - Vlaanderen - toestand 2022; Tertiair geologische kaart (1/50.000); Bodembedekkingskaart (BBK), 1m resolutie, opname 2021; WRB Soil Units 40k: Bodemkaart van het Vlaamse Gewest volgens het internationale bodemclassificatiesysteem World Reference Base op schaal 1:40.000; Digitaal Hoogtemodel Vlaanderen II, DSM, raster, 1 m. The dataset will be mostly useful as a reference result for actors that want to learn to implement the part of the soil organic carbon loss cookbook of SERENA dealing with the creation of a SOC concentration map. It can have limited use as an interim SOC concentration map for Flanders until a better map becomes available using an optimised methodology and/or new data from the regional soil organic carbon monitoring network that was not yet available when this map was created.</p> <p>This dataset is originally hosted at DOV (<a href="https://www.dov.vlaanderen.be/">https://www.dov.vlaanderen.be/</a>), for the most up to date version of the dataset access the data from the DOV repository through the DOV services. The original metdata is accesible through the DOV metadata catalog: <a href="https://www.dov.vlaanderen.be/geonetwork/srv/dut/catalog.search#/metadata/37337449-8bee-420e-9943-81f074c4cbe8">SERENA EJPSOIL BE Flanders SOC 0-20cm cookbook.</a></p> <p>The DOV services:</p> <ul> <li><a href="https://www.dov.vlaanderen.be/geoserver/bodem/wms?SERVICE=WMS&version=1.3.0&request=GetMap">WMS </a>( OGC:WMS-1.3.0-http-get-map ) </li> <li><a href="https://www.dov.vlaanderen.be/geoserver/bodem/wcs?SERVICE=WCS&version=2.0.1&request=GetCoverage">WCS </a>( OGC:WCS )</li> </ul>
EJPSOIL PRAC2LIV D3.1 DATA-NCs.7z
<p><span>The EJP Soil-project PRAC2LIV conducted a stocktake of Decision Support Tools (DSTs) focused on three key themes: soil organic matter, nutrient use efficiency, and water retention, currently in use in EJP SOIL countries. Building on previous stocktakes and an extensive literature review, this assessment included DSTs ranging from simple tools to next-generation support systems. Both the scientific basis of these DSTs, as well as their implementation and adoption at the farm level, were evaluated. In addition, mock-up designs for DSTs (mobile apps) related to the three themes were created. The results of the stocktake were discussed with various stakeholders through regional workshops, within the broader context of soil health. Further elaboration was conducted using a novel visualization method, in a participatory approach, with a focus on “DSTs for Soil Health in Living Labs.” By combining the findings from the literature, stocktake, workshops, mock-up designs, and visualization, conclusions and recommendations were made for the future development of DSTs in agro-ecosystems across Europe.</span></p>
EJPSOIL CarboSeq agrometeorological datasets
<p><strong>Abstract</strong></p> <p>The <strong>gridded dataset</strong> includes the monthly time series of the <strong>precipitation, temperature </strong>and <strong>reference evapotranspiration </strong>variables derived from AgERA5 daily and AgERA5_ET0 monthly data, with a spatial resolution of 10 kilometers, covering the area interested by the project, for the period <strong>1979-2022</strong>.</p> <p>Data is provided as .tif files with their corresponding .rts files (SpatRasterTS object in R).</p> <p><strong>Attached content</strong></p> <p>The following ZIP archives containing the spatial raster time series are provided:</p> <ol> <li>ag5_2m_temperature_rts_monthly_19792022_EPSG3035.zip</li> <li>ag5_precipitation_flux_rts_monthly_19792022_EPSG3035.zip</li> <li>ag5_et0_rts_monthly_19792022_EPSG3035.zip</li> </ol> <p>In addition a document with a short description of data processing is provided.</p>
EJPSOIL PRAC2LIV D3.2 DATA-EndUsers.7z
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.