https://data.opendatascience.eu/geonetwork/srv/api/records
type: PagedCollection
type: PartialCollectionView
last page: https://data.opendatascience.eu/geonetwork/srv/api/records
total items: 147
next page: https://data.opendatascience.eu/geonetwork/srv/api/records
items per page: 10

Open Data Science Europe Metadata Catalog
type: Catalog
label: Open Data Science Europe Metadata Catalog (OpenGeoHub, CTU Prague, mundialis GmbH & Co KG, TerraSigna, MultiOne)
open search description: eng/portal.opensearch
uri lookup endpoint: eng/rdf.search?any=
publisher: OpenGeoHub, CTU Prague, mundialis GmbH & Co KG, TerraSigna, MultiOne
themes: INSPIRE media-types register
themes: GEMET - INSPIRE themes, version 1.0
language: eng
dataset: Short-term forecasting model ICON-D2
record: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
dataset: Regional model ICON-D2
dataset: Ensemble forecasting system ICON-D2 EPS
dataset: gh:lcv-landcoverX112-lucasXcorineXeml-p-30m-0XX0cm--eumap-epsg3035-v0X2

OpenGeoHub, CTU Prague, mundialis GmbH & Co KG, TerraSigna, MultiOne
type: Organization

INSPIRE media-types register
type: ConceptScheme
uri: https://data.opendatascience.eu:/geonetwork/srv/eng/thesaurus.download

GEMET - INSPIRE themes, version 1.0
type: ConceptScheme
uri: https://data.opendatascience.eu:/geonetwork/srv/eng/thesaurus.download

Continents, countries, sea regions of the world.
type: ConceptScheme
uri: https://data.opendatascience.eu:/geonetwork/srv/eng/thesaurus.download

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
type: CatalogRecord
primary topic: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
issued: 2021-10-25
modified: 2021-10-25
references: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: text/html
  type: IMT
  label: HTML

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: application/xml
  type: IMT
  label: XML

Short-term forecasting model ICON-D2
type: Dataset
abstract: Regional model ICON-D2 The DWD's ICON-D2 model is a forecast model which is operated for the very-short range up to +27 hours (+45 hours for the 03 UTC run). Due to its fine mesh size, the ICON-D2 especially provides for improved forecasts of hazardous weather conditions, e.g. weather situations with high-level moisture convection (super and multi-cell thunderstorms, squall lines, mesoscale convective complexes) and weather events that are influenced by fine-scale topographic effects (ground fog, Föhn winds, intense downslope winds, flash floods). The model area of ICON-D2 covers the whole German territory, Benelux, Switzerland, Austria and parts of the other neighbouring countries at a horizontal resolution of 2.2 km. In the vertical, the model defines 65 atmosphere levels. The fairly short forecast periods make perfect sense because of the purpose of ICON-D2 (and its small model area). Based on model runs at 00, 06, 09, 12, 15, 18 and 21 UTC, ICON-D2 provides new 27-hour forecasts every 3 hours. The model run at 03 UTC even covers a forecast period of 45 hours. The ICON-D2 forecast data for each weather element are made available in standard packages at our free DWD Open Data Server, both on a rotated grid and on a regular grid. Regional ensemble forecast model ICON-D2 EPS The ensemble forecasting system ICON-D2 EPS is based on the DWD's numerical weather forecast model ICON-D2 and currently includes 20 ensemble members. All ensemble members are calculated at the same horizontal grid spacing as the operational configuration of ICON-D2 (2.2 km). Like ICON-D2, the ICON-D2 EPS ensemble system provides forecasts up to +27 hours for the same model area (up to +45 hours based on the 03 UTC run). For generating the ensemble members, some of the features of the forecasting system are changed. The method currently used to generate the ensemble members involves varying the - lateral boundary conditions - initial state - soil moisture - and model physics. For varying the lat…
keyword: Weather
keyword: Forecast
keyword: Germany
theme: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-2.00 43.00, -2.00 57.00, 19.00 57.00, 19.00 43.00, -2.00 43.00))
temporal: 2021-02-10 /
publisher: DWD
accrual periodicity: asNeeded
language: eng
license: otherRestrictions
license: license
license: The freely accessible data may be re-used without any restrictions provided that the source reference is indicated, as laid down in the GeoNutzV ordinance ("Verordnung zur Festlegung der Nutzungsbestimmungen für die Bereitstellung von Geodaten des Bundes = Ordinance to Determine the Conditions for Use for the Provision of Spatial Data of the Federation https://gdz.bkg.bund.de/). (see https://opendata.dwd.de/climate_environment/CDC/Terms_of_use.txt)
license: {"id":"geoNutz/20130319","name":"Nutzungsbestimmungen für die Bereitstellung von Geodaten des Bundes","url":"https://sg.geodatenzentrum.de/web_public/gdz/lizenz/geonutzv.pdf","quelle":"Source: DWD"}
distribution: Regional model ICON-D2
distribution: Ensemble forecasting system ICON-D2 EPS
data quality: Modelled forecast

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
type: CatalogRecord
primary topic: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
issued: 2021-01-14
modified: 2021-01-14
references: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: text/html
  type: IMT
  label: HTML

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: application/xml
  type: IMT
  label: XML

Discontinuous urban fabric
type: Dataset
abstract: Overview: 112: Surface area covered between 30% and 80% by urban structures and other impermeable, artificial features. Traceability (lineage): This dataset was produced with a machine learning framework with several input datasets, specified in detail in Witjes et al., 2022 (in review, preprint available at https://doi.org/10.21203/rs.3.rs-561383/v3 ) Scientific methodology: The single-class probability layers were generated with a spatiotemporal ensemble machine learning framework detailed in Witjes et al., 2022 (in review, preprint available at https://doi.org/10.21203/rs.3.rs-561383/v3 ). The single-class uncertainty layers were calculated by taking the standard deviation of the three single-class probabilities predicted by the three components of the ensemble. The HCL (hard class) layers represents the class with the highest probability as predicted by the ensemble. Usability: The HCL layers have a decreasing average accuracy (weighted F1-score) at each subsequent level in the CLC hierarchy. These metrics are 0.83 at level 1 (5 classes):, 0.63 at level 2 (14 classes), and 0.49 at level 3 (43 classes). This means that the hard-class maps are more reliable when aggregating classes to a higher level in the hierarchy (e.g. 'Discontinuous Urban Fabric' and 'Continuous Urban Fabric' to 'Urban Fabric'). Some single-class probabilities may more closely represent actual patterns for some classes that were overshadowed by unequal sample point distributions. Users are encouraged to set their own thresholds when postprocessing these datasets to optimize the accuracy for their specific use case. Uncertainty quantification: Uncertainty is quantified by taking the standard deviation of the probabilities predicted by the three components of the spatiotemporal ensemble model. Data validation approaches: The LULC classification was validated through spatial 5-fold cross-validation as detailed in the accompanying publication. Completeness: The dataset has chunks of empty predicti…
keyword: Land cover, land use and administrative data
keyword: Geoharmonizer
keyword: geoharvester
keyword: geodata
keyword: Europe
theme: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
thumbnail: https://geoserver.opendatascience.eu/geoserver/gh/wms
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-11.50 35.30, -11.50 81.40, 43.20 81.40, 43.20 35.30, -11.50 35.30))
temporal: 2000-01-01 / 2019-12-31
accrual periodicity: asNeeded
license: copyright
license: otherRestictions
distribution: gh:lcv-landcoverX112-lucasXcorineXeml-p-30m-0XX0cm--eumap-epsg3035-v0X2
data quality: derived from XY
title: PNV - Probability distribution for Salix caprea
abstract: Overview: Potential Natural Vegetation (PNV): potential probability of occurrence for the Goat willow from 2018 to 2020 Traceability (lineage): This is an original dataset produced with a machine learning framework which used a combination of point datasets and raster datasets as inputs. Point dataset is a harmonized collection of tree occurrence data, comprising observations from National Forest Inventories (EU-Forest), GBIF and LUCAS. The complete dataset is available on Zenodo. Raster datasets used as input are: monthly time series air and surface temperature and precipitation from a reprocessed version of the Copernicus ERA5 dataset; long term averages of bioclimatic variables from CHELSA; elevation, slope and other elevation-derived metrics and long term monthly averages snow probability. For a more comprehensive list refer to Bonannella et al. (2022) (in review, preprint available at: https://doi.org/10.21203/rs.3.rs-1252972/v1). Scientific methodology: Probability and uncertainty maps were the output of a spatiotemporal ensemble machine learning framework based on stacked regularization. Three base models (random forest, gradient boosted trees and generalized linear models) were first trained on the input dataset and their predictions were used to train an additional model (logistic regression) which provided the final predictions. More details on the whole workflow are available in the listed publication. Usability: Probability maps are particularly useful when compared with existing products of potential distribution of species or when combined with maps of realized distribution: gaps in potential and realized distribution can be identified and used as information for future programs of tree planting or forest restoration. Uncertainty quantification: Uncertainty is quantified by taking the standard deviation of the probabilities predicted by the three components of the spatiotemporal ensemble model. Data validation approaches: Distribution maps were validat…
keyword: Vegetation
temporal: - / -
title: OSM farmyard
abstract: osm: Farmyard rasterized from OSM landuse polygons, first to 10m spatial resolution and after downsampled to 30m by spatial average.
title: Beaches, dunes, sands
abstract: 331: Natural non-vegetated expanses of sand or pebble/gravel, in coastal or continental locations, like beaches, dunes, gravel pads; including beds of stream channels with torrential regime. Vegetation covers maximum 10%.
title: Olive groves
abstract: 223: Cultivated areas planted with olive trees.

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
type: CatalogRecord
primary topic: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
issued: 2021-01-14
modified: 2021-01-14
references: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: text/html
  type: IMT
  label: HTML

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: application/xml
  type: IMT
  label: XML

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
type: CatalogRecord
primary topic: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
issued: 2021-01-14
modified: 2021-01-14
references: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: text/html
  type: IMT
  label: HTML

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: application/xml
  type: IMT
  label: XML

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
type: CatalogRecord
primary topic: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
issued: 2021-01-14
modified: 2021-01-14
references: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: text/html
  type: IMT
  label: HTML

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: application/xml
  type: IMT
  label: XML

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
type: CatalogRecord
primary topic: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
issued: 2021-01-14
modified: 2021-01-14
references: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: text/html
  type: IMT
  label: HTML

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: application/xml
  type: IMT
  label: XML

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
type: CatalogRecord
primary topic: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
issued: 2022-07-20
modified: 2022-07-20
references: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: text/html
  type: IMT
  label: HTML

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: application/xml
  type: IMT
  label: XML

Polygon
as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-11.50 35.30, -11.50 81.40, 43.20 81.40, 43.20 35.30, -11.50 35.30))

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
type: CatalogRecord
primary topic: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
issued: 2021-01-14
modified: 2021-01-14
references: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: text/html
  type: IMT
  label: HTML

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: application/xml
  type: IMT
  label: XML

Polygon
as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-11.50 35.30, -11.50 81.40, 43.20 81.40, 43.20 35.30, -11.50 35.30))

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
type: CatalogRecord
primary topic: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
issued: 2021-01-14
modified: 2021-01-14
references: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: text/html
  type: IMT
  label: HTML

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: application/xml
  type: IMT
  label: XML

Polygon
as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-11.50 35.30, -11.50 81.40, 43.20 81.40, 43.20 35.30, -11.50 35.30))

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
type: CatalogRecord
primary topic: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
issued: 2021-01-14
modified: 2021-01-14
references: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: text/html
  type: IMT
  label: HTML

https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search
format: application/xml
  type: IMT
  label: XML

Polygon
as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-11.50 35.30, -11.50 81.40, 43.20 81.40, 43.20 35.30, -11.50 35.30))

Atmospheric conditions
type: Concept
in scheme: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search

Human health and safety
type: Concept
in scheme: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search

Meteorological geographical features
type: Concept
in scheme: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search

Geographical grid systems
type: Concept
in scheme: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search

Regional model ICON-D2
type: Distribution
format: WWW:LINK-1.0-http--download

Ensemble forecasting system ICON-D2 EPS
type: Distribution
format: WWW:LINK-1.0-http--download

gh:lcv-landcoverX112-lucasXcorineXeml-p-30m-0XX0cm--eumap-epsg3035-v0X2
type: Distribution
format: OGC:WMS

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2020 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2019 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2018 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2017 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2016 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2015 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2014 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2013 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2012 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2011 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2010 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2009 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2008 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2007 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2006 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2005 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2004 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2003 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2002 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2001 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.112 lucas.corine.eml p 30m 0..0cm 2000 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

veg salix.caprea pnv.eml p 30m 0..0cm 2018..2020 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv farmyard osm p 30m 0..0cm 2021 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2019 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2018 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2017 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2016 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2015 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2014 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2013 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2012 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2011 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2010 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2009 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2008 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2007 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2006 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2005 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2004 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2003 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2002 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2001 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.331 lucas.corine.rf p 30m 0..0cm 2000 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2019 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2018 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2016 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2015 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2014 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2013 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2012 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2011 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2010 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2009 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2008 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2007 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2006 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2005 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2004 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2003 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2002 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2001 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2000 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.223 lucas.corine.rf p 30m 0..0cm 2017 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2020 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2019 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2018 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2017 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2016 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2015 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2014 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2013 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2012 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2011 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2010 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2009 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2008 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2007 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2006 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2005 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2004 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2003 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2002 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2001 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv landcover.313 lucas.corine.eml p 30m 0..0cm 2000 eumap epsg3035 v0.2.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

aq pm25 pixel count 1km na 201808 eumap epsg3035 v0.1prebeta.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

aq pm25 pixel count 1km na 201807 eumap epsg3035 v0.1prebeta.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

aq pm25 pixel count 1km na 201806 eumap epsg3035 v0.1prebeta.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

aq pm25 pixel count 1km na 201805 eumap epsg3035 v0.1prebeta.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

aq pm25 pixel count 1km na 201804 eumap epsg3035 v0.1prebeta.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

aq pm25 pixel count 1km na 201803 eumap epsg3035 v0.1prebeta.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

aq pm25 pixel count 1km na 201802 eumap epsg3035 v0.1prebeta.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

aq pm25 pixel count 1km na 201801 eumap epsg3035 v0.1prebeta.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

aq pm25 pixel count 1km na 201812 eumap epsg3035 v0.1prebeta.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

aq pm25 pixel count 1km na 201811 eumap epsg3035 v0.1prebeta.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

aq pm25 pixel count 1km na 201810 eumap epsg3035 v0.1prebeta.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

aq pm25 pixel count 1km na 201809 eumap epsg3035 v0.1prebeta.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv meadow osm p 30m 0..0cm 2021 eumap epsg3035 v0.1.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2019 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2018 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2017 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2016 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2015 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2014 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2013 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2012 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2011 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2010 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2009 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2008 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2007 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2006 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2005 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2004 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2003 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2002 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2001 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

lcv rgb landsat.glad.ard p50 30m 0..0cm 2000 eumap epsg3035 v1.0.tif
type: Distribution
format: WWW:DOWNLOAD-1.0-http--download

DWD
type: Organization
member: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search

mundialis GmbH & Co. KG
type: Organization
member: https://data.opendatascience.eu/geonetwork/srv/eng/catalog.search

Martijn Witjes
type: Agent

Martijn Witjes
type: Agent

Leandro Parente
type: Agent

Carmelo Bonannella
type: Agent

Saleem Ibrahim
type: Agent

Tomislav Hengl
type: Agent

Polygon
as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-11.50 35.30, -11.50 81.40, 43.20 81.40, 43.20 35.30, -11.50 35.30))

Polygon
as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-11.50 35.30, -11.50 81.40, 43.20 81.40, 43.20 35.30, -11.50 35.30))

Polygon
as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-11.50 35.30, -11.50 81.40, 43.20 81.40, 43.20 35.30, -11.50 35.30))

Polygon
as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-11.50 35.30, -11.50 81.40, 43.20 81.40, 43.20 35.30, -11.50 35.30))