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EBV datasets (26 results)
Ecosystem functioning
EBV class icon Canopy chlorophyll Content (CCC) is the total amount of chlorophyll a and b pigments in a contiguous group of plants per unit ground area often expressed in mg/m2 (Gitelson et al., 2005). It is a product of lea...

Data: netCDF (5.18GB)
Metadata: ACDD (JSON) | EML (XML)


  • Canopy Chlorophyll Content
  • Sentinel-2
  • Netherlands
  • e-shape
  • Remote Sensing-EBVs
Ecosystem functioning
EBV class icon Datasets present the yearly maps of the start of vegetation active period (VAP) in coniferous forests and deciduous vegetation during 2001-2019 in Finland. The start of the vegetation active period is defined a...

Data: netCDF (310.71kB)
Metadata: ACDD (JSON) | EML (XML)


  • Boreal
  • Green-up
  • Phenology
  • Vegetation
  • Start of season
Ecosystem structure
EBV class icon The modelled suitability for the EUNIS habitat types is an indication of where conditions are favourable for each habitat type based on classified sample plot data (European Vegetation Archive), predictors and ...

Data: netCDF (4.74GB)
Metadata: ACDD (JSON) | EML (XML)


  • Europe
  • Terrestrial ecosystem
  • EUNIS
  • Maxent
  • Remote Sensing-EBVs
Ecosystem structure
EBV class icon Mean percentage of global tree canopy cover in the year 2000, defined as canopy closure for all vegetation taller than 5m in height.

Data: netCDF (86.52MB)
Metadata: ACDD (JSON) | EML (XML)


  • Forest cover
  • Mean percentage
Ecosystem structure
EBV class icon Global data cube on the yearly extent of ecosystems following the habitat classification scheme of the IUCN Red List, used in the assessment of over 100,000 species. This data cube is composed by 65 ecosystem t...

Data: netCDF (7.53GB)
Metadata: ACDD (JSON) | EML (XML)


  • Ecosystem extent
  • Time-series
  • Global
  • IUCN Red List
Ecosystem structure
EBV class icon We use an existing spatially contiguous, global remote-sensing data product (i.e. the 27-year annual ESA CCI land cover maps which can be categorized as an EBV ‘Ecosystem Distribution’) to derive an annual ...

Data: netCDF (11.91GB)
Metadata: ACDD (JSON) | EML (XML)


  • ESA
  • Land cover
  • grid cell
  • time-series
Species populations
EBV class icon Habitat availability for each mammal species (total 5090 species) in 0.25 degrees cells, from 2015 to 2055 in 5 year intervals, for the SSP/RCP scenarios. Developed for the BES-SIM project by the University of ...

Data: netCDF (2.51GB)
Metadata: ACDD (JSON) | EML (XML)


  • Mammals
  • Habitats
  • Global
  • Land cover
Ecosystem structure
EBV class icon Forest loss during the period 2000–2018, defined as a stand-replacement disturbance, or a change from a forest to non-forest state. Data in this layer were generated using multi-spectral satellite imagery fro...

Data: netCDF (779.02MB)
Metadata: ACDD (JSON) | EML (XML)


  • Forest loss
Community composition
EBV class icon Changes in bird diversity at 1-degree resolution caused by land use, estimated by the cSAR model for 1900-2015 using LUH2.0 historical reconstruction of land-use.

Data: netCDF (3.84MB)
Metadata: ACDD (JSON) | EML (XML)


  • BirdsLUH 2.0 projections
  • PREDICTS
  • land-use
Community composition
EBV class icon Changes in average local terrestrial diversity for each one degree grid cell caused by land-use from 1900 to 2050, as estimated by the PREDICTS model based on historical reconstructions and SSP/RCP scenarios. I...

Data: netCDF (19.46MB)
Metadata: ACDD (JSON) | EML (XML)


  • PREDICTS
Species populations
EBV class icon The aim of this study was to predict the distribution of suitable environmental conditions (SEC) for eight African great ape taxa for a first time period, the 1990s and then project it to a second time period, ...

Data: netCDF (3.83MB)
Metadata: ACDD (JSON) | EML (XML)


  • Apes
  • Africa