src/esdac/status.json

[
  {
    "name": "3d-soil-hydraulic-database-europe-1-km-and-250-m-resolution",
    "title": "3D Soil Hydraulic Database of Europe at 1 km and 250 m resolution",
    "url": "https://esdac.jrc.ec.europa.eu/content/3d-soil-hydraulic-database-europe-1-km-and-250-m-resolution",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "A consistent spatial soil hydraulic database at 7 soil depths up to 2 m calculated for Europe based on SoilGrids250m and 1 km datasets and pedotransfer functions trained on the European Hydropedological Data Inventory. Saturated water content, water content at field capacity and wilting point, saturated hydraulic conductivity and Mualem-van Genuchten parameters for the description of the moisture retention, and unsaturated hydraulic conductivity curves have been predicted. The derived 3D soil hydraulic layers (EU-SoilHydroGrids ver1.0) can be used for environmental modelling purposes at catchment or continental scale in Europe. Currently, only EU-SoilHydroGrids provides information on the most frequently required soil hydraulic properties with full European coverage up to 2 m depth at 250 m resolution."
  },
  {
    "name": "arsenic-european-topsoils",
    "title": "Arsenic in European topsoils",
    "url": "https://esdac.jrc.ec.europa.eu/content/arsenic-european-topsoils",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Jiayao",
    "requested_downloaded_by": "Jiayao",
    "processed_by": "Kuangdai",
    "abstract": "Maps of Arsenic (As) in EU topsoils at 250m resolution. In addition, we provide the exceedance probabilities for the threshold of 1.5, 20 and 45 mg kg-1 . We also provide comparison with GEMAS data on As."
  },
  {
    "name": "bacterial-fungal-biomass-fatty-acid-methyl-esters",
    "title": "Bacterial & fungal biomass (fatty acid methyl esters)",
    "url": "https://esdac.jrc.ec.europa.eu/content/bacterial-fungal-biomass-fatty-acid-methyl-esters",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Jiayao",
    "requested_downloaded_by": "Jiayao",
    "processed_by": "Kuangdai",
    "abstract": "Land-use- and climate-mediated variations in soil bacterial and fungal biomass across Europe and their driving factors. These are data accompanying a study that was carried out by a number of researchers from various organizations, including staff from the European Commission Joint Research Centre"
  },
  {
    "name": "biochar-meta-analysis-database",
    "title": "Biochar Meta-analysis Database",
    "url": "https://esdac.jrc.ec.europa.eu/content/biochar-meta-analysis-database",
    "request_needed": false,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "Data (2011) associated to the publication \"A quantitative review of the effects of biochar application to soils on crop productivity using meta-analysis. Agriculture, Ecosystems and Environment. Volume 144, Issue 1, November 2011, Pages 175-187\""
  },
  {
    "name": "biodiversity-factor-soil-erosion",
    "title": "Biodiversity factor in soil erosion",
    "url": "https://esdac.jrc.ec.europa.eu/content/biodiversity-factor-soil-erosion",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "A biological factor to be included in soil erosion modelling. The available data for Earthwork diversity (richness and abundance) introduced a new \"earthworm factor\" to be incorporated in soil erosion modelling."
  },
  {
    "name": "cadmium-topsoils-european-union",
    "title": "Cadmium in topsoils of the European Union",
    "url": "https://esdac.jrc.ec.europa.eu/content/cadmium-topsoils-european-union",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Jiayao",
    "requested_downloaded_by": "Jiayao",
    "processed_by": "Kuangdai",
    "abstract": "Cadmium content (mg kg-1) in the European Union topsoils applying an ensemble of machine learning models. The map of Cd distribution at a resolution of 100 m."
  },
  {
    "name": "caesium-137-and-plutonium-239240-european-topsoils",
    "title": "Caesium-137 and Plutonium-239+240 in European topsoils",
    "url": "https://esdac.jrc.ec.europa.eu/content/caesium-137-and-plutonium-239240-european-topsoils",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Jiayao",
    "requested_downloaded_by": "Jiayao",
    "processed_by": "Kuangdai",
    "abstract": "Plutonium and Cesium inventories in European topsoils. Includes also the Chernobyl-derived 137Cs and Global-derived 137Cs"
  },
  {
    "name": "carbon-budget-eu-agricultural-soils",
    "title": "Carbon budget in the EU agricultural soils",
    "url": "https://esdac.jrc.ec.europa.eu/content/carbon-budget-eu-agricultural-soils",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Cumulative C budget over the period 2016-20100 in the EU agricultural soils under the accelerated and current soil erosion scenarios."
  },
  {
    "name": "carbon-mitigation-potential-and-radiative-agricultural-land-management",
    "title": "Carbon mitigation potential and radiative agricultural land management",
    "url": "https://esdac.jrc.ec.europa.eu/content/carbon-mitigation-potential-and-radiative-agricultural-land-management",
    "request_needed": true,
    "status": "SKIPPED",
    "notes": "Contains only long-term scenario projections (2030–2100)",
    "screened_by": "Tina, Kuangdai",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "Maximising climate mitigation potential by carbon and radiative agricultural land management with cover crops"
  },
  {
    "name": "chemical-properties-european-scale-based-lucas-topsoil-data",
    "title": "Maps of Soil Chemical properties at European scale based on LUCAS 2009/2012 topsoil data",
    "url": "https://esdac.jrc.ec.europa.eu/content/chemical-properties-european-scale-based-lucas-topsoil-data",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "This group of datasets contains 8 chemical properties: pH, pH (CaCl), Cation Exchange Capacity (CEC), Calcium carbonates (CaCO3), C:N ratio, Nitrogen (N), Phosphorus (P) and Potassium (K) using soil point data from the LUCAS 2009/2012 soil surveys (around 22,000 points) for EU-26 (not included Cyprus and Croatia).  The chemical properties maps for the European Union were produced using Gaussian process regression (GPR) models. Resolution: 500m. Format: TIFF; projection information: ETRS89 / LAEA Europe"
  },
  {
    "name": "clay-mineral-inventory-soils-europe-based-lucas-2015-survey-soil-samples-2",
    "title": "Clay mineral inventory in soils of Europe based on LUCAS 2015 survey soil samples",
    "url": "https://esdac.jrc.ec.europa.eu/content/clay-mineral-inventory-soils-europe-based-lucas-2015-survey-soil-samples-2",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Jiayao",
    "requested_downloaded_by": "Jiayao",
    "processed_by": "Kuangdai",
    "abstract": "These data are the input for the report \"Clay mineral inventory in soils of Europe based on LUCAS 2015 survey soil samples\" (2024). Clay minerals are a key factor in mineral soils as they are controlling physic, chemical and biological soil properties. The X-ray diffraction (XRD) analysis has been widely used to identify and quantify minerals in earth science The aim of the research reported is to describe the clay minerals in soils of Europe and United Kingdom by using soil samples from the Land Use/Cover Area Frame Survey (LUCAS) topsoil database sampled in 2015. A subset of 388 soil samples were selected from LUCAS 2015 topsoil survey."
  },
  {
    "name": "climate-change-regional-indicators-change-and-extremes-europe",
    "title": "Climate Change Regional Indicators of Change and Extremes for Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/climate-change-regional-indicators-change-and-extremes-europe",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "Indicators of climate change and extremes from regional models coming from 3 sources: PRUDENCE project of the Danish Meteorological Institute, consortial simulation of the Climate Limited-area Modelling"
  },
  {
    "name": "copper-distribution-topsoils",
    "title": "Copper distribution in topsoils in the European Union",
    "url": "https://esdac.jrc.ec.europa.eu/content/copper-distribution-topsoils",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "Copper distribution in European Union topsoils based on LUCAS points. The data are at 500m resolution and have been the result of advanced interpolation modelling."
  },
  {
    "name": "cover-crops-accross-europe",
    "title": "Cover Crops across Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/cover-crops-accross-europe",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina, Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "Disaggregated map of cover crops occurrence for Europe and the United Kingdom. Using a disaggregation model, we combined satellite data (Sentinel-1) with aggregated survey data to generate a high-resolution map (100m) of cover crops for Europe and the United Kingdom for the reference year of 2016."
  },
  {
    "name": "cover-management-factor-c-factor-eu",
    "title": "Cover Management factor (C-factor) for the EU",
    "url": "https://esdac.jrc.ec.europa.eu/content/cover-management-factor-c-factor-eu",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "This dataset (GIS map) (2015) represents the Cover Management factor (C-factor), one of the  input layers when calculating the Universal Soil Loss Equation (USLE) model, which is the most frequently used model for soil erosion risk estimation; for EU28; resolution 100m. The C-factor was estimated for a) arable lands based on crop composition and for b) all other land uses (non-arable) based on the vegetation density and land cover type. The management practices (reduced tillage/no till, plant residues and winter cover crops) were taken into account in estimating C-factor in arable lands."
  },
  {
    "name": "database-eu-research-projects-soils",
    "title": "Database of EU Research projects in soils",
    "url": "https://esdac.jrc.ec.europa.eu/content/database-eu-research-projects-soils",
    "request_needed": false,
    "status": "SKIPPED",
    "notes": "Dataset contains only metadata about funded research projects. No soil property, spatial, or measurement data is included.",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "Collection of EU Research projects in soils during the last forty years (n = 1101 projects) funded by the successive European Commission Framework Programs (FP) for research and innovation (from FP1 to H2020)"
  },
  {
    "name": "desertification-risk-greece",
    "title": "Desertification risk in Greece",
    "url": "https://esdac.jrc.ec.europa.eu/content/desertification-risk-greece",
    "request_needed": false,
    "status": "SKIPPED",
    "notes": "No relevant soil data; One country",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": null,
    "processed_by": null,
    "abstract": "Qualitative assessment on desertification risk in Greece based on Environmentally Sensitive Areas (ESAs) data of MEDALUS methodology"
  },
  {
    "name": "dna-metagenomes-soil-biodiversity",
    "title": "DNA metagenomes - Soil biodiversity",
    "url": "https://esdac.jrc.ec.europa.eu/content/dna-metagenomes-soil-biodiversity",
    "request_needed": true,
    "status": "SKIPPED",
    "notes": "LUCAS-based; Skipped because 1) too few samples; 2) difficult for fusion",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": null,
    "processed_by": null,
    "abstract": "The dataset includes raw DNA sequences for 630 samples collected as part of the LUCAS 2018 Soil survey for the biodiversity module. The dataset includes DNA reads annotated as antibiotic resistance and biosynthesis genes (ARG and ABG, respectively) revealed in the metagenomes from 630 soil samples collected during the LUCAS 2018 Soil survey"
  },
  {
    "name": "ecalp-ecopedological-map-alps",
    "title": "ECALP: Ecopedological Map of the Alps",
    "url": "https://esdac.jrc.ec.europa.eu/content/ecalp-ecopedological-map-alps",
    "request_needed": false,
    "status": "SKIPPED",
    "notes": "No soil data",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": null,
    "processed_by": null,
    "abstract": null
  },
  {
    "name": "erosion-potential-method-epm",
    "title": "Erosion potential method (EPM)",
    "url": "https://esdac.jrc.ec.europa.eu/content/erosion-potential-method-epm",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Global gross soil erosion rates according to the Erosion Potential Model (EPM) and its modified version (mEPM) and the estimated Z factor (Classification of soil erosion classes) according to the Copernicus Land Cover data source classification."
  },
  {
    "name": "estimate-net-erosion-and-sediment-transport-using-watemsedem-european-union",
    "title": "Net erosion and sediment transport using WaTEM/SEDEM (for EU)",
    "url": "https://esdac.jrc.ec.europa.eu/content/estimate-net-erosion-and-sediment-transport-using-watemsedem-european-union",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Dataset (GIS map) (218) that shows the net soil erosion and deposition in European Union as a result of an application WaTEM/SEDEM model; resolution 100m; EU28. Data are also available at 25m resolution and at catchment scale."
  },
  {
    "name": "european-food-safety-authority-efsa-data-persam-software-tool",
    "title": "European Food Safety Authority (EFSA) Data & PERSAM software tool",
    "url": "https://esdac.jrc.ec.europa.eu/content/european-food-safety-authority-efsa-data-persam-software-tool",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Data and software made public as the result of a collaboration between JRC and EFSA. It contains soil, weather and crop data collected by JRC and organised by EFSA for its purpose. The site also hosts the software tool PERSAM for Predicting Environmental Concentrations in soil in support of the: \"EFSA Guidance Document for predicting environmental concentrations of active substances of plant protection products and transformation products of these active substances in soil\" which EFSA was asked by the European Commission to prepare. The data/maps are provided as rasters (ASCII grid). The soil data are: Topsoil Organic Matter content, Topsoil pH water, Topsoil Bulk Density, Topsoil Texture Class, Topsoil Water Content at Field Capacity."
  },
  {
    "name": "european-hydropedological-data-inventory-eu-hydi-database-0",
    "title": "European Hydropedological Data Inventory (EU-HYDI) database",
    "url": "https://esdac.jrc.ec.europa.eu/content/european-hydropedological-data-inventory-eu-hydi-database-0",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "The European Hydropedological Data Inventory (EU-HYDI) contains soil properties with a special focus on hydrological properties. It also includes various other measured soil characteristics associated to the same samples. It can hence serve multiple purposes, including scientific research, modelling and application of models at different geographical scales. The dataset consists of 10 interlinked CSV files."
  },
  {
    "name": "european-landslide-susceptibility-map-elsus-v2",
    "title": "European Landslide Susceptibility Map version 2 (ELSUS v2)",
    "url": "https://esdac.jrc.ec.europa.eu/content/european-landslide-susceptibility-map-elsus-v2",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "The spatial dataset (GIS map) shows landslide susceptibility levels at European scale, derived from heuristic-statistical modelling of main landslide conditioning factors using also landslide location data. It covers all EU member states except Malta, in addition to Albania, Andorra, Bosnia and Herzegovina, Croatia, FYR Macedonia, Iceland, Kosovo, Liechtenstein, Montenegro, Norway, San Marino, Serbia, and Switzerland. This dataset is available together with ancillary spatial datasets"
  },
  {
    "name": "european-map-soil-suitability-provide-platform-most-human-activities-eu28",
    "title": "European map of soil suitability to provide a platform for most human activities (EU28)",
    "url": "https://esdac.jrc.ec.europa.eu/content/european-map-soil-suitability-provide-platform-most-human-activities-eu28",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "This dataset (map)(2016) presents the suitability of soil as a platform for most human activities in the EU. Calculation of suitability was done using vaious properties of the European Soil database (soil type, soil water regime, limitation to agricultural use, depth to rock, land use) and slope of the terrain."
  },
  {
    "name": "european-reference-grids",
    "title": "European Reference Grids",
    "url": "https://esdac.jrc.ec.europa.eu/content/european-reference-grids",
    "request_needed": false,
    "status": "SKIPPED",
    "notes": "No data",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": null,
    "processed_by": null,
    "abstract": null
  },
  {
    "name": "european-soil-database-derived-data",
    "title": "European Soil Database Derived data",
    "url": "https://esdac.jrc.ec.europa.eu/content/european-soil-database-derived-data",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "A number of layers for soil properties have been created based on data from the European Soil Database in combination with data from the Harmonized World Soil Database (HWSD) and Soil-Terrain Database (SOTER)."
  },
  {
    "name": "european-soil-database-v2-raster-library-10kmx10km",
    "title": "European Soil Database v2 Raster Library 10kmx10km",
    "url": "https://esdac.jrc.ec.europa.eu/content/european-soil-database-v2-raster-library-10kmx10km",
    "request_needed": false,
    "status": "SKIPPED",
    "notes": "Vector format available",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": null,
    "processed_by": null,
    "abstract": null
  },
  {
    "name": "european-soil-database-v2-raster-library-1kmx1km",
    "title": "European Soil Database v2 Raster Library 1kmx1km",
    "url": "https://esdac.jrc.ec.europa.eu/content/european-soil-database-v2-raster-library-1kmx1km",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "This database (2024) is a new set of raster data (GeoTIFF) that have been derived from the European soil Database v2, for most attributes. The values for the attributes are categorized (non-continuous). These rasters are an interpretation of the data that are contained in the ESDB v2.0."
  },
  {
    "name": "european-soil-database-v20-vector-and-attribute-data",
    "title": "European Soil Database v2.0 (vector and attribute data)",
    "url": "https://esdac.jrc.ec.europa.eu/content/european-soil-database-v20-vector-and-attribute-data",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "This database (2004) is the only harmonized soil database for Europe, extending also to Eurasia. It contains a soil geographical database SGDBE (polygons) to which a number of essential soil attributes are attached, and an associate database PTRDB, with attributes which values have been derived through pedotransfer rules. Also part of the database is the Soil Profile Analytical Database, that contains measured and estimated soil profiles for Europe."
  },
  {
    "name": "EUSEDcollab",
    "title": "EUropean SEDiments collaboration (EUSEDcollab) database",
    "url": "https://esdac.jrc.ec.europa.eu/content/EUSEDcollab",
    "request_needed": true,
    "status": "SKIPPED",
    "notes": "Country-level resolution",
    "screened_by": "Tina, Kuangdai",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "The EUropean SEDiments collaboration (EUSEDcollab) database contains a compilation of data contributions from monitored catchments from across multiple European institutions"
  },
  {
    "name": "g2-soil-erosion",
    "title": "G2 soil erosion model data",
    "url": "https://esdac.jrc.ec.europa.eu/content/g2-soil-erosion",
    "request_needed": true,
    "status": "SKIPPED",
    "notes": "Small region",
    "screened_by": "Tina, Kuangdai",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "G2 generic model for soil erosion applied to 5 application areas (Crete island,Cyprus, Ishmi-Erzeni watershed, Korce, Strymonas/Struma); available layers: Soil erosion (Total & Monthly) plus Rainfall erosivity (Total & Monthly), vegetation retention (Total & Monthly), soil erodibility, topographic influence and slope intercept."
  },
  {
    "name": "global-applications-soil-erosion-modelling-tracker",
    "title": "Global Applications of Soil Erosion Modelling Tracker",
    "url": "https://esdac.jrc.ec.europa.eu/content/global-applications-soil-erosion-modelling-tracker",
    "request_needed": false,
    "status": "SKIPPED",
    "notes": "A bibliographic meta-database only; it does not contain real soil or sediment data",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "Global Applications of Soil Erosion Modelling Tracker (GASEMT) includes 3030 individual modelling records from 126 countries, encompassing all continents. GASEMT includes peer-reviewed research literature on soil-erosion modelling published between 1994 and 2017."
  },
  {
    "name": "global-landform-classification",
    "title": "Global Landform classification",
    "url": "https://esdac.jrc.ec.europa.eu/content/global-landform-classification",
    "request_needed": true,
    "status": "SKIPPED",
    "notes": "Although not soil property data, landform classification might support soil-related modeling and terrain analysis. Kuangdai: skipped due to tricky old format",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "This dataset (GIS maps) represent global lanform classification calculated by the JRC, according to 1) Meybeck et al., presenting relief classes, which are calculated based on the relief roughness, and 2) Iwahashi and Pike, presenting  relief classes which are classified using an unsupervised nested-means algorithms and a three part geometric signature."
  },
  {
    "name": "global-phosphorus-losses-due-soil-erosion",
    "title": "Global phosphorus losses due to soil erosion",
    "url": "https://esdac.jrc.ec.europa.eu/content/global-phosphorus-losses-due-soil-erosion",
    "request_needed": true,
    "status": "SKIPPED",
    "notes": "Modelled phosphorus loss data at coarse scale, not suitable for detailed soil analysis, more for global erosion nutrient cycling studies.",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "Global average phosphorus (P) losses due to soil erosion in kg ha\u22121 yr\u22121. Thus we combine the most recent spatially distributed global soil erosion estimates with global P content of cropland soils (data also available for P content)"
  },
  {
    "name": "global-rainfall-erosivity",
    "title": "Global Rainfall Erosivity",
    "url": "https://esdac.jrc.ec.europa.eu/content/global-rainfall-erosivity",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Although not a soil dataset, it provides essential R-factor input for soil erosion modelling; no direct soil properties.",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Rainfall erosivity dataset  (2017) is one of the input layers when calculating the Revised Universal Soil Loss Equation (RUSLE) model, which is the most frequently used model for soil erosion risk estimation; for the whole World; R-factor map at resolutions of 30 arc-sec ((~1 km at the Equator)."
  },
  {
    "name": "global-rainfall-erosivity-projections-2050-and-2070",
    "title": "Global rainfall erosivity projections for 2050 and 2070",
    "url": "https://esdac.jrc.ec.europa.eu/content/global-rainfall-erosivity-projections-2050-and-2070",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina, Kuangdai",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "We make available both the aggregated data (2050 and 2070 Rainfall erosivity for 3 scenarios)  and the 102 contributing simulations (3 scenarios x 19 models x 2 time-scale) in a GEOTIFF format with a 30 arc-seconds spatial resolution."
  },
  {
    "name": "global-soil-biodiversity-maps-0",
    "title": "Global Soil Biodiversity Atlas Maps",
    "url": "https://esdac.jrc.ec.europa.eu/content/global-soil-biodiversity-maps-0",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Dataset (2016) containing 2 GIS maps from the Global Soil Biodiversity Atlas: 1) the Soil Biodiversity  map showing a simple index describing the potential level of diversity living in soils (with the use of two other datasets: distribution of microbial soil carbon used as a proxy for soil microbial diversity, and the distribution of the main groups of soil macrofauna used as a proxy for soil fauna diversity. 2) the Soil Biodiversity threats showing the potential rather than the actual level of threat to soil organisms. For the development of this map, a number of diverse threats and corresponding proxies were chosen."
  },
  {
    "name": "global-soil-erodibility",
    "title": "Global Soil Erodibility",
    "url": "https://esdac.jrc.ec.europa.eu/content/global-soil-erodibility",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "This dataset encompasses global soil erodibility (K) factor maps, with the K factor being estimated through the Wischmeier and Smith (1978) method. In addition, measured values of saturated  hydraulic conductivity (Ksat) have been incorporated into the original method to formulate the Ksat-based soil erodibility (Kksat factor) map. A third k-factor dataset which was included in the GloSEM (Borrelli et al., 2017) is also included."
  },
  {
    "name": "global-soil-erosion",
    "title": "Global Soil Erosion",
    "url": "https://esdac.jrc.ec.europa.eu/content/global-soil-erosion",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Global Soil Erosion is a re-sampled dataset (25km) of the original Global Soil Erosion map. Both the 2012 and 2001 datasets are provided. The data package includes also the input layers (K, LS, R, C) at 25km resolution and a sample area (in Amazon rainforest) at the original resolution of 250m"
  },
  {
    "name": "global-soil-erosion-water-2070",
    "title": "Global soil erosion by water in 2070",
    "url": "https://esdac.jrc.ec.europa.eu/content/global-soil-erosion-water-2070",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Land use and climate change impacts on global soil erosion by water (2015-2070). This dataset includes the baseline scenario (2015) and the future projections (2070) of soil erosion based on land use changes and climate change effects."
  },
  {
    "name": "global-soil-organic-carbon-estimates",
    "title": "Global Soil Organic Carbon Estimates",
    "url": "https://esdac.jrc.ec.europa.eu/content/global-soil-organic-carbon-estimates",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Global estimates of soil organic carbon stocks have been produced in the past to support the calculation of potential emissions of CO2 from the soil under scenarios of change land use/cover and climatic conditions."
  },
  {
    "name": "global-spatial-layers-estimating-soil-ghg-emissions-indirect-land-use-changesiluc-due",
    "title": "Global Spatial Layers for Estimating Soil GHG Emissions from Indirect Land Use Changes(ILUC) due to the Production of Biofuels",
    "url": "https://esdac.jrc.ec.europa.eu/content/global-spatial-layers-estimating-soil-ghg-emissions-indirect-land-use-changesiluc-due",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "The data made available on these pages are referred to in the Guide for Calculation of Carbon Stock Changes in Soil and Above and Below Ground Vegetation due to Land Use Conversion, which was prepared in support to Commission Decision"
  },
  {
    "name": "gloreda",
    "title": "GloREDa",
    "url": "https://esdac.jrc.ec.europa.eu/content/gloreda",
    "request_needed": true,
    "status": "SKIPPED",
    "notes": "Using GloRESatE instead, as it provides more recent, higher-resolution, and integrated rainfall erosivity data.",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "Global Rainfall Erosivity Database (GloREDa) includes point R-factor data from almost 3,939 stations in 65 countries worldwide b) monthly erosivity values and c) Monthly erosivity maps"
  },
  {
    "name": "gloresate-global-rainfall-erosivity-reanalysis-and-satellite-estimates",
    "title": "GloRESatE - Global Rainfall Erosivity from Reanalysis and Satellite Estimates",
    "url": "https://esdac.jrc.ec.europa.eu/content/gloresate-global-rainfall-erosivity-reanalysis-and-satellite-estimates",
    "request_needed": false,
    "status": "PROCESSED",
    "notes": "Although not soil property data, GloRESatE provides critical rainfall erosivity input essential for soil erosion modeling (e.g., RUSLE), supporting integration with soil datasets",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "This dataset contains merged global rainfall erosivity product at 0.1\u00b0 \u00d7  0.1\u00b0 spatial resolution. The dataset is an integrated product of satellite (CMORPH, IMERG Final Run) and reanalysis (ERA5-Land) estimates with gauge rainfall erosivity datasets 6,170 gauge stations across the globe. The dataset has been given in the name of \u201cGloRESatE\u201d."
  },
  {
    "name": "glosem",
    "title": "High resolution cropland global soil erosion (GloSEM 1.3)",
    "url": "https://esdac.jrc.ec.europa.eu/content/glosem",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina, Kuangdai",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Global Soil Erosion Modelling (GloSEM) platform containts 4 datasets on global soil erosion in arable lands (at 100m resolution): Baseline data (2019), soil loss in 2070 for three climatic scenarios RCP2.6, RCP4.5, RCP8.5"
  },
  {
    "name": "google-earth-files",
    "title": "Google Earth Files",
    "url": "https://esdac.jrc.ec.europa.eu/content/google-earth-files",
    "request_needed": false,
    "status": "SKIPPED",
    "notes": "Only for visualization",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": null,
    "processed_by": null,
    "abstract": "Google Earth Files (with \".kmz\" extension) that correspond to 73 attribute maps derived from the European Soil Database v2 (ESDB v2) for EU27 countries."
  },
  {
    "name": "groundwater-resources-maps-europe-0",
    "title": "Groundwater Resources maps of Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/groundwater-resources-maps-europe-0",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "GIS Maps related to Groundwater resources in Europe, covering 3 themes: Inventory of aquifers; Hydrogeology of aquifers; Groundwater abstraction; for 9 European countries (Belgium, Federal Republic of Germany, Denmark, France, Ireland, Italy, Luxembourg, Netherlands and United Kingdom)"
  },
  {
    "name": "gully-erosion-based-lucas",
    "title": "Gully Erosion based on LUCAS",
    "url": "https://esdac.jrc.ec.europa.eu/content/gully-erosion-based-lucas",
    "request_needed": false,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "The LUCAS topsoil survey 2018 included a module for visual assessment of gully erosion. Gully erosion channels were detected in 1% of the visited LUCAS topsoil sites. Find the 211 points declared as gully erosion."
  },
  {
    "name": "heavy-metals-topsoils",
    "title": "Heavy Metals in topsoils",
    "url": "https://esdac.jrc.ec.europa.eu/content/heavy-metals-topsoils",
    "request_needed": false,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "GIS Maps (2008) produced by mapping the concentrations of eight critical heavy metals (arsenic, cadmium, chromium, copper, mercury, nickel, lead and zinc) using the 1588 georeferenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database."
  },
  {
    "name": "historical-reconstruction-soil-erosion-europe",
    "title": "Historical reconstruction of soil erosion in Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/historical-reconstruction-soil-erosion-europe",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "This is a modelled soil erosion dataset, not containing direct soil properties",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "The past soil erosion rates have been reconstructed by applying the CE-DYNAM model. We have estimated annual losses by water erosion from 1860-2018; here, we present the average loss per decade (16 Geotiff files). The annual and monthly soil erosion reconstruction data (1860-2018) can be useful inputs for Earth System Models."
  },
  {
    "name": "isoil-project-interactions-between-soil-related-sciences",
    "title": "iSOIL project (Interactions between soil related sciences)",
    "url": "https://esdac.jrc.ec.europa.eu/content/isoil-project-interactions-between-soil-related-sciences",
    "request_needed": true,
    "status": "SKIPPED",
    "notes": "Nine fields only",
    "screened_by": "Tina, Kuangdai",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "Data from the FP7 iSOIL research projectdealing with new technologies for assessing soil properties along depth accurately and with high resolution by combining existing sensors as well as exploring emerging technologies (mainly geophysical); data available for the test sites of iSoil, located in Germany, Austria, Czech Republic and Bulgaria."
  },
  {
    "name": "land-degradation-debt",
    "title": "Land degradation debt",
    "url": "https://esdac.jrc.ec.europa.eu/content/land-degradation-debt",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Global Land degradation as \u2018debts\u2019 for a) tree cover,  b) soil erosion c) above ground carbon d) below ground carbon. Environmental Debt is  the difference between natural potential condition and current condition."
  },
  {
    "name": "land-degradation-europe",
    "title": "Land Degradation in Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/land-degradation-europe",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "This dataset includes the Land Multi-degradation Index (LMI) for arable and agricultural lands and data for 12 indicators (land degradation processes) which were compiled to develop the LMI. The dataset includes the agricultural (~2 million km2) and the arable (~1.1 million km2) lands of the EU and other European countries."
  },
  {
    "name": "land-degradation-global-arable-lands",
    "title": "Land degradation in global arable lands",
    "url": "https://esdac.jrc.ec.europa.eu/content/land-degradation-global-arable-lands",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Analysis of the spatial footprint of the multiple forms of land degradation in global arable lands. This includes 5 land degradation processes: aridity, soil erosion, vegetation decline, soil salinization and soil organic carbon decline. Data are at global scale."
  },
  {
    "name": "land-suitability-temperate-europe",
    "title": "Land suitability in temperate Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/land-suitability-temperate-europe",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "This datasets includes land suitability maps for several crops and land uses (14 crops , 7 fruit trees, 3 land-use types)  in the temperate continental climate of Europe. To model the land suitability we used geospatial data depicting seventeen eco-pedological indicators (e.g. soil texture, pH, porosity, temperature, precipitation, slope). To evaluate how the land is utilized, the suitability maps have been spatially cross-tabulated with a crop map."
  },
  {
    "name": "legend-files",
    "title": "Legend Files",
    "url": "https://esdac.jrc.ec.europa.eu/content/legend-files",
    "request_needed": false,
    "status": "SKIPPED",
    "notes": "This is not a soil dataset itself, but only legend and symbology files (LYR, AVL, KMZ) for visualizing existing European Soil Database layers in GIS. Download just when  you need standardized GIS symbology :)",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": null
  },
  {
    "name": "ls-factor-slope-length-and-steepness-factor-eu",
    "title": "LS-factor (Slope Length and Steepness factor) for the EU",
    "url": "https://esdac.jrc.ec.europa.eu/content/ls-factor-slope-length-and-steepness-factor-eu",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Not direct soil data, but critical soil erosion parameter.",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "This dataset (GIS maps) (2015) represents the \"Slope Length and Steepness factor\" (LS-factor), one of the six input layers when calculating the Universal Soil Loss Equation (USLE) model, which is the most frequently used model for soil erosion risk estimation; for EU28; maps at resolutions of 25m (per country) and 100m (Europe-wide)."
  },
  {
    "name": "lucas-2009-topsoil-data",
    "title": "LUCAS 2009 TOPSOIL data",
    "url": "https://esdac.jrc.ec.europa.eu/content/lucas-2009-topsoil-data",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "Data from the 2009 LUCAS campaign soil component containing soil properties data (clay, silt and sand content, coarse fragments, pH, organic carbon content, CaCO3, nitrogen, phosphorous, potassium, cation exchane capacity) and multispectral absorbance data."
  },
  {
    "name": "lucas-2015-topsoil-data-switzerland",
    "title": "LUCAS 2015 Topsoil data of Switzerland",
    "url": "https://esdac.jrc.ec.europa.eu/content/lucas-2015-topsoil-data-switzerland",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "The dataset contains the data of physical and chemical properties analysed in samples taken in Switzerland within the context of LUCAS 2015 survey. These data have been used in the study \u201cComparison of sampling with a spade and gouge auger for topsoil monitoring at the continental scale\u201d, published in the European Journal of Soil Science (https://onlinelibrary.wiley.com/doi/abs/10.1111/ejss.12862). The dataset format is an Excel file."
  },
  {
    "name": "lucas-2018-topsoil-data",
    "title": "LUCAS 2018 TOPSOIL data",
    "url": "https://esdac.jrc.ec.europa.eu/content/lucas-2018-topsoil-data",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "Data from the 2018 LUCAS campaign soil component containing soil properties data for 18,984 samples: pH (CaCl2 and H2O), organic carbon content, CaCO3, nitrogen, phosphorous, potassium, EC (Electrical conductivity), Oxalate extractable Fe and Al ."
  },
  {
    "name": "lucas-2022-topsoil-data",
    "title": "LUCAS 2022 TOPSOIL data",
    "url": "https://esdac.jrc.ec.europa.eu/content/lucas-2022-topsoil-data",
    "request_needed": false,
    "status": "SKIPPED",
    "notes": "Unavailable yet",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": null,
    "processed_by": null,
    "abstract": "Data from the 2022 LUCAS campaign soil component containing soil properties data for approximately 33,00 locations (38,000 samples): In addition to the standard core analysis (pH (CaCl2 and H2O), carbonate organic carbon, nitrogen, phosphorous, potassium, Electrical conductivity), data will be presented on eDNA, the residues of pesticide residues and a broader assessment of metals and micronutrients."
  },
  {
    "name": "lucas2015-topsoil-data",
    "title": "LUCAS 2015 TOPSOIL data",
    "url": "https://esdac.jrc.ec.europa.eu/content/lucas2015-topsoil-data",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "Data from the 2015 LUCAS campaign soil component containing soil properties data (clay, silt and sand content, coarse fragments, pH (CaCl2 and H2O), organic carbon content, CaCO3, nitrogen, phosphorous, potassium, EC (Electrical conductivity) and multispectral reflectance data for 21,859 samples. These primary data are supplemented by reference ancillary data describing a range of environmental conditions for the LUCAS Soil locations."
  },
  {
    "name": "manure-and-soil-biodiversity",
    "title": "Manure and soil biodiversity",
    "url": "https://esdac.jrc.ec.europa.eu/content/manure-and-soil-biodiversity",
    "request_needed": false,
    "status": "SKIPPED",
    "notes": "Not direct soil biodiversity data. It provides manure production maps (shapefile) and a literature database only. Useful for management context but no spatial or point soil biodiversity indicators included",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "This dataset includes the spatial distribution of manure in EU and UK (per country, animal type)  plus the database of the literature used to review interactions between Manure and Soil biodiversity."
  },
  {
    "name": "map-indicating-availability-raw-material-soils-european-union-organic-soil-material-b-soil",
    "title": "Maps indicating the availability of Raw Material from soils in the European Union",
    "url": "https://esdac.jrc.ec.europa.eu/content/map-indicating-availability-raw-material-soils-european-union-organic-soil-material-b-soil",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "shows general availability of soil materials (peat, sand, gravel) for extraction, not actual soil properties or measurements I think.",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "This dataset (maps)(2016) indicates the availability of Raw Material (organic soil material and soil material for constructions) from soils in the European Union."
  },
  {
    "name": "maps-heavy-metals-soils-eu-based-lucas-2009-hm-data-0",
    "title": "Maps of heavy metals in the soils of the EU, based on LUCAS 2009 HM data",
    "url": "https://esdac.jrc.ec.europa.eu/content/maps-heavy-metals-soils-eu-based-lucas-2009-hm-data-0",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "Detailed maps of heavy metals in the EU27 (EU-28 except Croatia), based on topsoil HM data from LUCAS 2009"
  },
  {
    "name": "maps-indicators-soil-hydraulic-properties-europe",
    "title": "Maps of indicators of soil hydraulic properties for Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/maps-indicators-soil-hydraulic-properties-europe",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Soil hydraulic properties maps (2016) for Europe: for Water retention of topsoil:  saturated water content (cm3/cm3), water content at  field capacity (cm3/cm3), water content at wilting point (cm3/cm3); for Hydraulic conductivity of topsoil: saturated hydraulic conductivity (cm/day). Besides the true values in the units mentioned  values scaled between 1 and 10 without measurement units were also calculated."
  },
  {
    "name": "maps-related-predicting-preservation-cultural-artefacts-and-buried-materials-soils-eu-0",
    "title": "Maps of preservation capacity of cultural artefacts and buried materials in soils in the EU",
    "url": "https://esdac.jrc.ec.europa.eu/content/maps-related-predicting-preservation-cultural-artefacts-and-buried-materials-soils-eu-0",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina, Kuangdai",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Maps (2016) that indicate the preservation capacity of cultural artefacts and buried materials in soils in the EU, for bones, teeth and shells (bones), organic materials (organics), metals (Cu, bronze and Fe) (metals), stratigraphic evidence (strati)."
  },
  {
    "name": "maps-storing-and-filtering-capacity-soils-europe",
    "title": "Maps of the Storing and Filtering Capacity of Soils in Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/maps-storing-and-filtering-capacity-soils-europe",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Dataset provides derived functional capacity indices, not  soil property measurements.",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "This dataset (2016) contains 10 maps that relate to the soil's storing and filtering capacity in Europe (the EU only): cation storing capacity (STOR_CAPCA), cation filtering capacity (FILT_CAPCA), anion storing capacity (STOR_CAPAN), anion filtering capacity (FILT_CAPAN), solids and pathogenic microorganisms storing capacity (STOR_CAPSO), solids and pathogenic microorganisms filtering capacity (FILT_CAPSO), non-polar organic chemicals storing capacity (STOR_CAPNP), non-polar organic chemicals filtering capacity (FILT_CAPNP), nonaqueous Phase Liquids (NAPL) storing capacity (STOR_NAPL), nonaqueous Phase Liquids (NAPL),  filtering capacity (FILT_NAPL). As input, variables from the European Soil Database have been used."
  },
  {
    "name": "mercury-content-european-union-topsoil",
    "title": "Mercury content in the European Union topsoil",
    "url": "https://esdac.jrc.ec.europa.eu/content/mercury-content-european-union-topsoil",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Jiayao",
    "requested_downloaded_by": "Jiayao",
    "processed_by": "Kuangdai",
    "abstract": "Topsoil Hg concentrations (\u03bcg kg\u22121) across 26 EU countries estimated by deep neural network \u2013 regression kriging. We also provide Mercury stocks and mercury fluxes to main riverbasins and sea outlets. The assessment is based on 21591 LUCAS samples (0-20cm) from 26 European Union countries."
  },
  {
    "name": "multiple-co-occurring-erosion-processes-global-cropland",
    "title": "Multiple co-occurring erosion processes on global cropland",
    "url": "https://esdac.jrc.ec.europa.eu/content/multiple-co-occurring-erosion-processes-global-cropland",
    "request_needed": true,
    "status": "SKIPPED",
    "notes": "Higher resolution available in EU",
    "screened_by": "Tina, Kuangdai",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "Novel assessment of the spatial distribution of individual and combined (additive) threat to soil due to five erosion processes across the world's areas suitable for farming. Susceptibility classes were predicted for water erosion, wind erosion, Soil Loss by Crop Harvesting (SLCH), Tillage erosion and gully erosion."
  },
  {
    "name": "multiple-concurrent-soil-erosion-processes",
    "title": "Multiple concurrent soil erosion processes",
    "url": "https://esdac.jrc.ec.europa.eu/content/multiple-concurrent-soil-erosion-processes",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Modeled erosion susceptibility",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "A first-ever assessment at European scale combines the threat of water, wind, tillage and harvesting to reveal the cumulative impact on arable land. We present the datasets for each of the erosion process (water, wind, tillage, harvesting root crops) and their cumulative effect at 100m resolution for EU arable lands (110 Million ha)."
  },
  {
    "name": "n2o-emissions-agricultural-soils-europe",
    "title": "N2O emissions from agricultural soils in Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/n2o-emissions-agricultural-soils-europe",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "This dataset derives from the integration of the LUCAS soil survey with the bio-geochemistry process-based model DayCent. The model was ran for more than 11,000 LUCAS sampling points under agricultural use, assessing also the model uncertainty. Meta-models based on model outcomes and the Random Forest algorithm were used to upscale the N2O emissions at 1km resolution."
  },
  {
    "name": "natural-susceptibility-soil-compaction-europe",
    "title": "Natural susceptibility to soil compaction in Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/natural-susceptibility-soil-compaction-europe",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "Map (2008) showing the natural susceptibility of agricultural soils to compaction if they were to be exposed to compaction, based on the creation of logical connections between relevant parameters (using pedotransfer rules), taking as input parameters  attributes of the European soil database (soil type, texture, etc.). For EU-27."
  },
  {
    "name": "observedtypical-soc-index",
    "title": "Observed/typical SOC index",
    "url": "https://esdac.jrc.ec.europa.eu/content/observedtypical-soc-index",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Hugo",
    "requested_downloaded_by": "Hugo",
    "processed_by": "Kuangdai",
    "abstract": "Observed/typical Soil Organic Carbon (SOC) index classes and associated pedo-climate zones across the EU and UK are presented in 2 GeoTiff files at 100 m resolution."
  },
  {
    "name": "octop-topsoil-organic-carbon-content-europe",
    "title": "OCTOP: Topsoil Organic Carbon Content for Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/octop-topsoil-organic-carbon-content-europe",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "A 2004 GIS map of Soil Organic Carbon (SOC) content (%) in the surface horizon of soils in Europe, associated to a JRC internal report."
  },
  {
    "name": "pan-european-soc-stock-agricultural-soils",
    "title": "Pan-European SOC stock of agricultural soils",
    "url": "https://esdac.jrc.ec.europa.eu/content/pan-european-soc-stock-agricultural-soils",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "Data (2014) related to Pan-European SOC stock of agricultural soils, containing GIS maps for a) Pan-European SOC stock of agricultural soils (shapefile),  b) Potential carbon sequestration by modelling a comprehensive set of management practices (shapefile),  c) Average Eroded SOC in agricultural soils (raster)."
  },
  {
    "name": "pan-european-soil-erosion-risk-assessment-pesera",
    "title": "Pan European Soil Erosion Risk Assessment - PESERA",
    "url": "https://esdac.jrc.ec.europa.eu/content/pan-european-soil-erosion-risk-assessment-pesera",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "A 2003 GIS map of Soil erosion estimates (t/ha/yr) by applying the PESERA GRID (physical) model at 1km, using the European Soil Database, CORINE land cover, climate data from the MARS Project and a Digital Elevation Model. The resulting estimates of sediment loss are from erosion by water."
  },
  {
    "name": "pesticides-residues-european-agricultural-soils",
    "title": "Pesticides residues in European agricultural soils",
    "url": "https://esdac.jrc.ec.europa.eu/content/pesticides-residues-european-agricultural-soils",
    "request_needed": true,
    "status": "SKIPPED",
    "notes": "LUCAS-based; Skipped because data only contain NUT average",
    "screened_by": "Jiayao, Kuangdai",
    "requested_downloaded_by": "Jiayao",
    "processed_by": null,
    "abstract": "This dataset contains the results of a study targeting residues of active ingredients of pesticides used as crop protection products in soil samples collected from the 2018 LUCAS survey. This database presents the average concentrations values in (mg/kg dry weight) obtained for all the 118 substances above their specific Limit of Quantification(LOQ), measured at 3473 sites. Data is reported with a geographical resolution at NUTS2 level due to data protection requirements of the EU General Data Protection Regulation (GDPR)."
  },
  {
    "name": "phosphorus-budget-and-p-stocks",
    "title": "Phosphorus budget and P stocks",
    "url": "https://esdac.jrc.ec.europa.eu/content/phosphorus-budget-and-p-stocks",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Jiayao",
    "requested_downloaded_by": "Jiayao",
    "processed_by": "Kuangdai",
    "abstract": "Phosphorus (P) budget in the European agricultural soils. We provide shape files with main inputs (fertilizers, manure, chemical weathering, atmospheric deposition) and the losses by water erosion. In addition, we model the Total P and the relevant P stocks (available/Olsen, Total). We also make available 21,681 LUCAS point data with measured Total P."
  },
  {
    "name": "phosphorus-cycle-european-agricultural-soils",
    "title": "Phosphorus cycle in European agricultural soils",
    "url": "https://esdac.jrc.ec.europa.eu/content/phosphorus-cycle-european-agricultural-soils",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Process-based biogeochemical models are valuable instruments to monitor the P cycle and predict the effect of agricultural management policies. We upscale the calibrated DayCent model at European level using data-derived soil properties, advanced input data sets, and representative management practices. Available datasets include Current P Budget and Soil Pools, Projected P Budget and Soil Pools for the EU and UK as well the datasets corresponding to the figures of the related manuscript."
  },
  {
    "name": "phosphorus-plant-removal",
    "title": "Phosphorus plant removal",
    "url": "https://esdac.jrc.ec.europa.eu/content/phosphorus-plant-removal",
    "request_needed": true,
    "status": "SKIPPED",
    "notes": "NUTS2 level",
    "screened_by": "Tina, Kuangdai",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "Phosphorus (P) plant removal is the amount of P removed by crop harvesting and plant residues. We provide shape files with assessments at EU, National and regional scale."
  },
  {
    "name": "post-fire-soil-erosion-europe",
    "title": "Post-fire soil erosion in Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/post-fire-soil-erosion-europe",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "This dataset contains the soil erosion estimations resulting of a study that mapped post-fire soil erosion in EU and UK following the 2017\u2019s wildfires during 5 post-fire years.  Five maps (GeoTIFF) and their corresponding dataframe (Rdata) are provided at 25m resolution, from year 1 (2017) to year 5 (2021)."
  },
  {
    "name": "post-fire-soil-erosion-map-portugal",
    "title": "Post-fire soil erosion map for Portugal",
    "url": "https://esdac.jrc.ec.europa.eu/content/post-fire-soil-erosion-map-portugal",
    "request_needed": false,
    "status": "SKIPPED",
    "notes": "Exceptional condition; Cannot fuse",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": null,
    "processed_by": null,
    "abstract": "This dataset contains the results of a study that mapped post-fire soil erosion in Portugal and identified the areas with higher post-fire erosion risk for past and future climate extremes. Two maps are provided: one at 100m resolution and another at 25m resolution. The maps express \u2018predicted soil losses\u2019 (Mg ha-1 y-1)."
  },
  {
    "name": "potential-threats-soil-biodiversity-europe",
    "title": "Potential threats to soil biodiversity in Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/potential-threats-soil-biodiversity-europe",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Dataset that contains 3 GIS maps showing Potential threats to soil biodiversity in Europe (for soil microorganisms, for fauna,forbiological functions), along with 13 input layers (habitat fragmentation, climate change, soil erosion, etc.); resolution 500m."
  },
  {
    "name": "predicted-distribution-soc-content-europe-based-lucas-biosoil-and-czo-context-eu-funded-1",
    "title": "Predicted distribution of SOC content in Europe (based on LUCAS, BioSoil and CZO) in the context of the EU-funded SoilTrEC project",
    "url": "https://esdac.jrc.ec.europa.eu/content/predicted-distribution-soc-content-europe-based-lucas-biosoil-and-czo-context-eu-funded-1",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "These maps of predicted distribution of SOC content in Europe (2016) are based on aggregated 23,835 soil samples collected from the LUCAS Project (samples from agricultural soil), BioSoil Project (samples from forest soil), and Soil Transformations in European Catchments (SoilTrEC) Project (samples from local soil data coming from five different critical zone observatories (CZOs) in Europe)."
  },
  {
    "name": "priming-effects-soils-across-europe",
    "title": "Glucose-induced priming effects in soils across Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/priming-effects-soils-across-europe",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Jiayao",
    "requested_downloaded_by": "Jiayao",
    "processed_by": "Kuangdai",
    "abstract": "Quantification and comparison of glucose-induced priming effects in soils with contrasting land uses and under different crop types"
  },
  {
    "name": "progress-management-contaminated-sites-europe-0",
    "title": "Progress in the management of contaminated sites in Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/progress-management-contaminated-sites-europe-0",
    "request_needed": false,
    "status": "SKIPPED",
    "notes": "Country-level resolution",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": null,
    "processed_by": null,
    "abstract": "These are the underlying data for the report \"Progress in management of contaminated sites (CSI 015)\", based on the 2011 EIONET NRC Soil data collection concerning contaminated sites, and stored in an MS Excel file. Some data/information that arrived at JRC after the data collection deadline (for Czech Republic, Greece, Italy, Latvia) are bundled in an additional file."
  },
  {
    "name": "projected-land-conservation-impacts-global-soil-erosion-and-pollination-sufficiency",
    "title": "Projected Land Conservation Impacts on Global Soil Erosion and Pollination Sufficiency",
    "url": "https://esdac.jrc.ec.europa.eu/content/projected-land-conservation-impacts-global-soil-erosion-and-pollination-sufficiency",
    "request_needed": true,
    "status": "SKIPPED",
    "notes": "Long term prediction.",
    "screened_by": "Tina, Kuangdai",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "We combine the open-source land-system model MAgPIE (Model of Agricultural Production and its Impact on the Environment) with the Spatial Economic Allocation Landscape Simulator (SEALS) and the Global Soil Erosion Modelling (GloSEM) platform to assess how different land conservation measures focused on climate and biodiversity protection could drive changes in soil loss by water erosion, pollination and landscape heterogeneity."
  },
  {
    "name": "rainfall-erosivity-european-union-and-switzerland",
    "title": "Rainfall Erosivity in the EU and Switzerland (R-factor)",
    "url": "https://esdac.jrc.ec.europa.eu/content/rainfall-erosivity-european-union-and-switzerland",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "It is not direct soil property, it is rainfalla erosivity factor, key factor to estimate soil erosion",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Dataset (GIS map) (2015) and associated products for the \"Rainfall erosivity\" (R-factor), one of the input layers when calculating the Universal Soil Loss Equation (USLE) model, which is the most frequently used model for soil erosion risk estimation; for EU28+Switzerland; R-factor map at resolutions of 500m. Users can downloads Raw data, Baseline map (2010), Monthly erosivity, Future projections (2050), Past erosivity (1961-2000)."
  },
  {
    "name": "saline-and-sodic-soils-european-union",
    "title": "Saline and Sodic Soils in European Union",
    "url": "https://esdac.jrc.ec.europa.eu/content/saline-and-sodic-soils-european-union",
    "request_needed": true,
    "status": "SKIPPED",
    "notes": "Too small dataset",
    "screened_by": "Tina, Kuangdai",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "Saline and Sodic Soils Map for EU-27 (2008) showing the area distribution of saline, sodic and potentially salt affected areas within the European Union. The accuracy of input input data only allows the designation of salt affected areas with a limited level of reliability (e.g. < 50 or > 50% of the area); therefore the results represented in the map should only be used for orientating purposes."
  },
  {
    "name": "sediments-removal-costs",
    "title": "Sediments removal costs",
    "url": "https://esdac.jrc.ec.europa.eu/content/sediments-removal-costs",
    "request_needed": false,
    "status": "SKIPPED",
    "notes": "This dataset is the costs of sediments removal",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "For the entire EU and UK, we provide estimates of sediments removal costs based on three quantification methods: a) Flat rate assignment from modelled sediment delivery b) Regional assignment from modelled sediment delivery  c) Sediment remediation costs from extrapolated potential reservoir capacity losses"
  },
  {
    "name": "sinfo-esdb-data-adapted-mars-crop-yield-forecasting-system",
    "title": "SINFO: ESDB Data adapted for the  MARS Crop Yield Forecasting System",
    "url": "https://esdac.jrc.ec.europa.eu/content/sinfo-esdb-data-adapted-mars-crop-yield-forecasting-system",
    "request_needed": true,
    "status": "SKIPPED",
    "notes": "Downloaded. Analysis skipped due to unstructured file formats, unclear naming conventions, legacy Fortran code, and insufficient documentation linking rules to usable data.",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": null,
    "abstract": "A database (2007) that is the result of adapting the European Soil Database for the provision of new and specific soil information for the CGMS (Crop Growth Monitoring System) for use in the MARS Crop Yield Forecast Sing System."
  },
  {
    "name": "SOC-changes-2009-18",
    "title": "Changes in Soil Organic Carbon in Croplands and Grasslands between 2009 and 2018",
    "url": "https://esdac.jrc.ec.europa.eu/content/SOC-changes-2009-18",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Jiayao",
    "requested_downloaded_by": "Jiayao",
    "processed_by": "Kuangdai",
    "abstract": "This dataset (map) illustrates the variations in soil organic carbon (measured in g C kg y-1) within the 0-20 cm depth range for croplands and grasslands across the EU and UK between 2009 and 2018."
  },
  {
    "name": "soil-biodiversity-conservation-literature-and-legally-binding-instruments",
    "title": "Soil Biodiversity Conservation literature and legally binding instruments",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-biodiversity-conservation-literature-and-legally-binding-instruments",
    "request_needed": false,
    "status": "SKIPPED",
    "notes": "Not soil data \u2014 literature/policy summary",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "We present the review of 54 articles in the literature and Member States policy documents which address Soil Biodiversity Conservation"
  },
  {
    "name": "soil-biodiversity-dna-bacteria-and-fungi",
    "title": "Soil biodiversity - DNA Bacteria and Fungi",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-biodiversity-dna-bacteria-and-fungi",
    "request_needed": true,
    "status": "SKIPPED",
    "notes": "LUCAS-based; Skipped for now because files are too large (50 GB)",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": null,
    "processed_by": null,
    "abstract": "The dataset includes bacterial 16S data and fungal ITS raw DNA sequences for 885 samples collected as part of LUCAS 2018 Soil survey (Biodiversity module)."
  },
  {
    "name": "soil-biodiversity-dna-eukaryotes",
    "title": "Soil biodiversity dna eukaryotes",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-biodiversity-dna-eukaryotes",
    "request_needed": true,
    "status": "SKIPPED",
    "notes": "LUCAS-based; Skipped for now because files are too large (50 GB)",
    "screened_by": "Jiayao",
    "requested_downloaded_by": null,
    "processed_by": null,
    "abstract": "The dataset includes bacterial 18S raw DNA sequences for 885 samples collected as part of LUCAS 2018 Soil survey (Biodiversity module)."
  },
  {
    "name": "soil-biomass-productivity-maps-grasslands-and-pasture-coplands-and-forest-areas-european",
    "title": "Soil Biomass Productivity maps of grasslands and pasture, of croplands and of forest areas in the European Union (EU27)",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-biomass-productivity-maps-grasslands-and-pasture-coplands-and-forest-areas-european",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "This dataset consists of 3 GIS maps that indicate the soil biomass productivity of grasslands and pasture, of croplands and of forest areas in the European Union (EU27)"
  },
  {
    "name": "soil-bulk-density-europe",
    "title": "Soil Bulk Density in Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-bulk-density-europe",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "This dataset includes bulk density for Europe in 0-20cm, 0-10cm, 10-20cm layers generated with advanced Cubist rule-based regression model. We also provide the Packing density estimation based on bulk density and clay content. In addition, we make available the point data measurements of bulk density"
  },
  {
    "name": "soil-carbon-risk-index",
    "title": "Soil Carbon Risk Index",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-carbon-risk-index",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Hugo",
    "requested_downloaded_by": "Hugo",
    "processed_by": "Kuangdai",
    "abstract": "This dataset includes the a) Soil organic carbon risk index b) SOC fractions predicted by visible near-infrared c) the mineral-associated organic carbon (MAOC) saturation.This repository accompanies the publication \"Revisiting the soil carbon saturation concept to inform a risk index in European agricultural soils\" and can be used to access the results and code."
  },
  {
    "name": "soil-degradation-indicators-eu",
    "title": "Soil degradation indicators in EU",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-degradation-indicators-eu",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "Pan-EU assessment of soil degradation based on the latest state-of-the-art indicators of soil degradation as demonstrated in the EU Soil Health Dashboard. This dataset includes the 19 Soil degradation indicators plus the sum of all processes."
  },
  {
    "name": "soil-erodibility-k-factor-high-resolution-dataset-europe",
    "title": "Soil Erodibility (K- Factor) High Resolution dataset for Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-erodibility-k-factor-high-resolution-dataset-europe",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "Map at 500m resolution (2014) providing a complete picture of the soil erodibility in the European Union member states. It is derived on the basis of the LUCAS 2009 soil survey exercise and the European Soil Database."
  },
  {
    "name": "soil-erosion-forestland-europe-using-rusle2015",
    "title": "Soil erosion in forestland in Europe (using RUSLE2015)",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-erosion-forestland-europe-using-rusle2015",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Dataset (2 GIS-maps) (2016) related to soil erosion in Forestland in Europe. One map is the soil loss potential for EU28; the other map is the European Forest Cover Change for 36 European countries."
  },
  {
    "name": "soil-erosion-risk-assessment-europe-data-mesales-model-dataset",
    "title": "Soil Erosion Risk Assessment in Europe data (MESALES model) - Dataset",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-erosion-risk-assessment-europe-data-mesales-model-dataset",
    "request_needed": true,
    "status": "SKIPPED",
    "notes": " This dataset is fully superseded by newer, higher-quality sources.",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "These Soil Erosion Risk Assessment in Europe data (2000) have been elaborated by INRA for JRC using the MESAES model and can be seen as an intermediate step towards a \"state-of-the-art erosion modelling at the European scale\",  prior to the initiation of the PESERA project."
  },
  {
    "name": "soil-erosion-water-rusle2015",
    "title": "Soil erosion by water (RUSLE2015)",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-erosion-water-rusle2015",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "Dataset (GIS map) (2015) that shows the Soil Loss by Water Erosion in Europe and is the result of applying a modified version of the Revised Universal Soil Loss Equation (RUSLE) model, RUSLE 2015; resolution 100m. EU28. Two data points are available: 2010 and 2016"
  },
  {
    "name": "soil-function-data-measured-lucas-2018-sites-across-eu",
    "title": "Soil function data measured in LUCAS 2018 sites across the EU",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-function-data-measured-lucas-2018-sites-across-eu",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "In the LUCAS 2018 survey, soil functions have been measured in the 881 sampling sites selected for the soil biodiversity assessment across Europe. These soil functions include * soil aggregates (i.e., mean width diameter and water-stable aggregates), * enzyme activities, * microbial respiration and biomass, and * measurement of ester-linked fatty acid methyl esters (FAMEs)."
  },
  {
    "name": "soil-ghg-fluxes-using-lucas-soil-daycent",
    "title": "Soil GHG fluxes using LUCAS soil-DayCent (for EU)",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-ghg-fluxes-using-lucas-soil-daycent",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "Soil fluxes (CO2 and N2O ) under mitigation scenarios using the LUCAS soil-DayCent model integration framework"
  },
  {
    "name": "soil-health-related-citizen-science-projects",
    "title": "Soil health related citizen-science projects",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-health-related-citizen-science-projects",
    "request_needed": false,
    "status": "SKIPPED",
    "notes": "Not data \u2014 metadata on citizen science projects. No soil properties or mappable content.",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "Soil-related citizen science projects have gained significant interest driven by the prominence of soil within public policy agendas. EUSO in collaboration with ECHO makes a review on previous citizen science projects, initiatives and activities that have engaged citizens to monitor soil. The database includes all those initiatives."
  },
  {
    "name": "soil-loss-due-crop-harvesting-european-union",
    "title": "Soil loss due to crop harvesting in the European Union",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-loss-due-crop-harvesting-european-union",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Soil loss due to crop harvesting in the European Union. The regional estimates of total Soil Loss by Crop Harvesting (SLCH) are presented at country and regional level."
  },
  {
    "name": "soil-map-soil-atlas-africa",
    "title": "Soil Atlas of Africa",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-map-soil-atlas-africa",
    "request_needed": true,
    "status": "SKIPPED",
    "notes": " Africa, not Europe",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": null,
    "abstract": "Africa has a diverse range of soil types, with over 60% representing hot, arid, or immature soil assemblages. A further 20% are tropical or subtropical soils. The continent also has a considerable number of soil types associated with local soil-forming factors. Unlike other continents, Africa does not have large expanses of prairie or steppe-type soils."
  },
  {
    "name": "soil-microbial-biomass-and-respiration",
    "title": "Soil microbial biomass and respiration",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-microbial-biomass-and-respiration",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Jiayao",
    "requested_downloaded_by": "Jiayao",
    "processed_by": "Kuangdai",
    "abstract": "Maps of potential soil microbial basal respiration (bas), microbial biomass (Cmic), and respiratory quotient (qO2) predicted across Europe. Monthly maps for bas and Cmic are also available"
  },
  {
    "name": "soil-organic-carbon-losses-lateral-transfer-oceans",
    "title": "Soil organic carbon losses with lateral transfer to the oceans",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-organic-carbon-losses-lateral-transfer-oceans",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "A spatially distributed model coupling erosion, transport, and deposition to the carbon cycle was developed. Then, it was used to simulate the impact of cover crops on both erosion and carbon, to show that cover crops can simultaneously increase organic carbon storage and reduce particulate organic carbon export to the oceans."
  },
  {
    "name": "soil-organic-carbon-saturation-capacity",
    "title": "Soil Organic Carbon - Saturation Capacity in Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-organic-carbon-saturation-capacity",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "This dataset (map) (2016) shows the Soil Organic Carbon (SOC) saturation capacity, expressed as the ratio between the actual and the potential SOC stock in each pixel. Values close to 0 indicate a great potential of soil to store more carbon."
  },
  {
    "name": "soil-organic-carbon-soc-projections-europe",
    "title": "Soil Organic Carbon (SOC) Projections for Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-organic-carbon-soc-projections-europe",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "This dataset consists of a number of data layers  (raster GRID maps) that are associated to the peer-reviewed  publication \"Assessment of soil organic carbon stocks under future climate and land cover changes in Europe\" . Layers cover the current Soil Organic Carbon Stocks (2016) and the projected Soil Organic Carbon Stocks  by 2050, for various Climate Scenarios (CCSM4, HadGEM2-AO , IPSL-CM5A-LR  MRI-CGCM3) and Representative Concentration Pathways (RCPs)."
  },
  {
    "name": "soil-organic-matter-som-fractions",
    "title": "Soil Organic Matter (SOM) fractions",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-organic-matter-som-fractions",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Jiayao",
    "requested_downloaded_by": "Jiayao",
    "processed_by": "Kuangdai",
    "abstract": "This dataset contains the original measured Soil Organic Matter (SOM) fractions of a subset of the LUCAS 2009 topsoil dataset. This dataset includes 352 samples for all land uses and 186 samples only for grassland and fores used to derived maps on Particulate Organic Matter (POM) and Mineral-Associated Organic Matter (MAOM)"
  },
  {
    "name": "soil-ph-europe",
    "title": "Soil pH in Europe",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-ph-europe",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "A quantitative map of estimated soil pH values across Europe from a compilation of 12,333 soil pH measurements from 11 different sources, and using a geo-statistical framework based on Regression-Kriging. Fifty-four (54) auxiliary variables in the form of raster maps at 5km resolution were used to explain the differences in the distribution of soil pH (CaCl2) and the kriged map of the residuals from the regression model was added."
  },
  {
    "name": "soil-profile-analytical-database-2",
    "title": "Soil Profile Analytical Database 2",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-profile-analytical-database-2",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Soil Profile Analytical Database for Europe (2009) (separate from the European Soil Database SPADE-1) aiming to provide sufficient soil property data to support higher tier modeling of pesticide fate at the European level. Joint venture between JRC, ECPA and the ESBN."
  },
  {
    "name": "soil-sealing-food-security-loss-potential-agricultural-production-capability",
    "title": "Soil Sealing & food security (Loss of Potential Agricultural Production Capability)",
    "url": "https://esdac.jrc.ec.europa.eu/content/soil-sealing-food-security-loss-potential-agricultural-production-capability",
    "request_needed": false,
    "status": "SKIPPED",
    "notes": "Country-level resolution",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": null,
    "processed_by": null,
    "abstract": "This dataset (2015), an Excel file, contains the data associated to the peer-reveiwed paper: Gardi, C., Panagos, P., Van Liedekerke, M., Bosco, C., de Brogniez, D. 2015. Land take and food security: assessment of land take on the agricultural production in Europe. Journal of Environmental Planning and Management, 58 (5) , pp. 898-912."
  },
  {
    "name": "Soil_erosion_by_wind",
    "title": "Soil erosion by wind",
    "url": "https://esdac.jrc.ec.europa.eu/content/Soil_erosion_by_wind",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "This dataset consists of various elements related to soil erosion by wind: 1) Soil loss by wind erosion in European agricultural soils (2016); 1km resolution, 2)  Land susceptibility to wind erosion (2014), 500m resolution, 3) Wind erosion susceptibility of European soils (2014); 500m resolutiomn, and 4) Agriculture Field Parameters data (containing averaged Field Size, Field Orientation, Field Length, Average Number of Images, Percentage of Large Fields and Length to Width Ratios) for the EU 27 Member states and Switzerland, aggregated to NUTS region."
  },
  {
    "name": "spade-14",
    "title": "Soil profile analytical database 14 (SPADE 14)",
    "url": "https://esdac.jrc.ec.europa.eu/content/spade-14",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "Soil Profile Analytical Database 14 (SPADE 14) is  based on the concept used in previous versions of SPADE (SPADE 1 and 8). It includes 1078 soil profile data from 28 countries."
  },
  {
    "name": "spadem",
    "title": "SPADE/M",
    "url": "https://esdac.jrc.ec.europa.eu/content/spadem",
    "request_needed": false,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "Database (2004) developed from the measured profiles; present in the Soil Profile Analytical Database of Europe of the European Soil Database v2. It counts 560 profiles within the EU."
  },
  {
    "name": "support-practices-factor-p-factor-eu",
    "title": "Support Practices factor (P-factor) for the EU",
    "url": "https://esdac.jrc.ec.europa.eu/content/support-practices-factor-p-factor-eu",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "P-factor (1km) for EU \u2014 critical RUSLE input layer accounting for support practices.",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "This GIS map (2015) represents the \"Support Practices factor\" (P-factor) for the EU. At European level, the effect of support practices (compulsory for farmers to receive incentives under the CAP-GAEC) on soil loss were assessed by P-factor estimation taking into account a) contour farming b) maintenance of stone walls and c) grass margins. Resolution 1km."
  },
  {
    "name": "support-renewable-energy-directive",
    "title": "Support to Renewable Energy Directive",
    "url": "https://esdac.jrc.ec.europa.eu/content/support-renewable-energy-directive",
    "request_needed": false,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": null
  },
  {
    "name": "topsoil-physical-properties-europe-based-lucas-topsoil-data",
    "title": "Topsoil physical properties for Europe (based on LUCAS topsoil data)",
    "url": "https://esdac.jrc.ec.europa.eu/content/topsoil-physical-properties-europe-based-lucas-topsoil-data",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "This dataset (GIS maps)(2016) contains 7 soil property maps that have been derived using soil point data from the LUCAS 2009 soil survey (around 20,000 points) for EU-25,  using hybrid approaches like regression kriging. Properties: clay, silt and sand content; coarse fragments; bulk density; USDA soil textural class; available water capacity. Resolution 500m."
  },
  {
    "name": "topsoil-soil-organic-carbon-lucas-eu25",
    "title": "Topsoil Soil Organic Carbon (LUCAS) for EU25",
    "url": "https://esdac.jrc.ec.europa.eu/content/topsoil-soil-organic-carbon-lucas-eu25",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Kuangdai",
    "requested_downloaded_by": "Kuangdai",
    "processed_by": "Kuangdai",
    "abstract": "This dataset (2015) provides maps for Topsoil Soil Organic Carbon in EU-25 that are based on LUCAS 2009 soil poibnt data through a generalized additive model. Map of predicted topsoil organic carbon content (g C kg-1) : The map of predicted topsoil organic carbon content (g C kg-1) was produced by fitting a generalised additive model between organic carbon measurements from the LUCAS survey (dependent variable) and a set of selected environmental covariates; namely slope, land cover, annual accumulated temperature, net primary productivity, latitude and longitude. It also includes a Map of standard error of the OC model predictions (g C kg-1)."
  },
  {
    "name": "un-sustainable-development-goal-1531-assessment-land-degradation-indicator-eu-scale",
    "title": "UN Sustainable Development Goal  15.3.1: Assessment of the land degradation indicator at EU scale",
    "url": "https://esdac.jrc.ec.europa.eu/content/un-sustainable-development-goal-1531-assessment-land-degradation-indicator-eu-scale",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Jiayao",
    "requested_downloaded_by": "Jiayao",
    "processed_by": "Kuangdai",
    "abstract": "This dataset covers 9 maps associated to the assessment of the land degradation indicator at EU scale in the context of the UN Sustainable Development Goal  15.3.1, and corresponding to the output reported in a peer-reviewed publication. The main map is the one that expresses land degradation on the basis of soil organic carbon and soil erosion values."
  },
  {
    "name": "water-erosion-europe-2050",
    "title": "Water erosion in Europe by 2050",
    "url": "https://esdac.jrc.ec.europa.eu/content/water-erosion-europe-2050",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "The dataset includes the soil loss by water erosion projections by 2050. The data include 3 raster files for the corresponding three different greenhouse gas concentration scenarios (RCP2.6, RCP4.5, RCP8.5) , the erosivity projections and the C-factor 2050."
  },
  {
    "name": "wrb-data-soil-atlas-northern-circumpolar-region",
    "title": "WRB Data for the Soil Atlas of the Northern Circumpolar Region",
    "url": "https://esdac.jrc.ec.europa.eu/content/wrb-data-soil-atlas-northern-circumpolar-region",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "Completed",
    "screened_by": "Tina",
    "requested_downloaded_by": "Tina",
    "processed_by": "Kuangdai",
    "abstract": "These data are the WRB soil data for the whole area covered by the Soil Atlas of the Northern Circumpolar Region. It comes as a single shapefile."
  },
  {
    "name": "zn-concentrations-eu-topsoils",
    "title": "Zinc concentrations in EU topsoils",
    "url": "https://esdac.jrc.ec.europa.eu/content/zn-concentrations-eu-topsoils",
    "request_needed": true,
    "status": "PROCESSED",
    "notes": "LUCAS-based; Prioritised",
    "screened_by": "Jiayao",
    "requested_downloaded_by": "Jiayao",
    "processed_by": "Kuangdai",
    "abstract": "Zinc (Zn) is essential to sustain crop production and human health, while it can be toxic when present in excess. The Zn concentration (mg kg-1) in European topsoils as predicted by the quantile regression forest using the 21,682 samples of LUCAS. The resolution of this map is 250 m by 250 m."
  }
]