Net primary productivity (NPP) refers to a complex set of processes in which plants produce biomass by converting solar energy, carbon dioxide, and water (Roy et al., 2001). The primary productivity of vegetati...

Data: netCDF (61.5kB)
Metadata: ACDD (JSON) | EML (XML)

• NPP
• e-shape

Net primary productivity (NPP) refers to a complex set of processes in which plants produce biomass by converting solar energy, carbon dioxide, and water (Roy et al., 2001). The primary productivity of vegetati...

Data: netCDF (137.47kB)
Metadata: ACDD (JSON) | EML (XML)

• NPP
• e-shape

Net primary productivity (NPP) refers to a complex set of processes in which plants produce biomass by converting solar energy, carbon dioxide, and water (Roy et al., 2001). The primary productivity of vegetati...

Data: netCDF (47.15MB)
Metadata: ACDD (JSON) | EML (XML)

• e-shape
• Remote Sensing-EBVs
• Bavarian Forest National Park
• Net Primary Productivity
• NPP

This EBV dataset is based entirely on the time series analysis developed by Prof. Matthew Hansen and colleagues (2013) in version 1.8, which examines the global Landsat archive at a special resolution of 30 met...

Data: netCDF (2.92GB)
Metadata: ACDD (JSON) | EML (XML)

• Forest loss

Modelled historical local species richness relative to pristine baseline with a spatial resolution of 0.25 degrees for 1980, 2000, 2007, 2009 and 2010. Original dataset produced by Hill, et al. (2018, https://d...

Data: netCDF (3.44MB)
Metadata: ACDD (JSON) | EML (XML)

• PREDICTS
• Species Richness
• BES-SIM
• Terrestrial

The canopy chlorophyll content for the Bavarian Forest National Park (BFNP) in Germany at 10 meters resolution on monthly basis for the year 2020. Dataset generated under Showcase. 4, pilot 4.3 myVARIABLE of th...

Data: netCDF (137.96MB)
Metadata: ACDD (JSON) | EML (XML)

• Canopy Chlorophyll Content
• e-shape
• Remote Sensing-EBVs
• Bavarian Forest National Park

This dataset focuses on the Tropical Andes region of Colombia, Peru, Ecuador, and Bolivia. We demonstrate indicators in the Tropical Andes using both potential (pre-industrial) and recent (~2010) distribution m...

Data: netCDF (1.78GB)
Metadata: ACDD (JSON) | EML (XML)

• WDPA
• Protected Areas
• KBA
• Key Biodiversity Areas
• Historical loss

This dataset focuses on the Tropical Andes region of Colombia, Peru, Ecuador, and Bolivia. We demonstrate indicators in the Tropical Andes using both potential (pre-industrial) and recent (~2010) distribution m...

Data: netCDF (4.07GB)
Metadata: ACDD (JSON) | EML (XML)

• KBA
• Key Biodiversity Areas
• WDPA
• Protected Areas
• Historical loss

This dataset focuses on the Tropical Andes region, specifically Colombia, Peru, Ecuador, and Bolivia, aiming to analyze species richness by macrogroup habitat type. The methodology involved utilizing recent (~2...

Data: netCDF (6.15GB)
Metadata: ACDD (JSON) | EML (XML)

• Key Biodiversity Areas
• TAO
• IVC
• IUCN
• Species Richness

This EBV dataset is based completely on the time series analysis produced by Hansen et al., (2013) in the version 1.8, which examines the global Landsat archive at a special resolution of 30 meters to character...

Data: netCDF (1.87GB)
Metadata: ACDD (JSON) | EML (XML)

• Forest loss
• Forest change
• Finland

This EBV dataset is based completely on the time series analysis produced by Hansen et al., (2013) in the version 1.8, which examines the global Landsat archive at a special resolution of 30 meters to character...

Data: netCDF (11.92MB)
Metadata: ACDD (JSON) | EML (XML)

• Forest change
• Forest loss
• Finland

This EBV dataset is based completely on the time series analysis produced by Hansen et al., (2013) in the version 1.8, which examines the global Landsat archive at a special resolution of 30 meters to character...

Data: netCDF (55.4MB)
Metadata: ACDD (JSON) | EML (XML)

• Forest change
• Forest loss
• Finland

Projections from the PREDICTS model from 1900-2050 using LUH2 and SSPs-RCPs, done in the BES-SIM inter-model comparison for IPBES.

Data: netCDF (1.82MB)
Metadata: ACDD (JSON) | EML (XML)

• BES-SIM
• IPBES
• SSP scenarios
• RCP scenarios

This EBV dataset is based completely on the time series analysis produced by Hansen et al., (2013) in the version 1.8, which examines the global Landsat archive at a special resolution of 30 meters to character...

Data: netCDF (324.31MB)
Metadata: ACDD (JSON) | EML (XML)

• Finland
• Forest change
• Forest loss

Projections from the GLOBIO model from 1900-2050 using LUH2 and SSPs-RCPs, done in the BES-SIM inter-model comparison for IPBES.

Data: netCDF (1MB)
Metadata: ACDD (JSON) | EML (XML)

• IPBES
• BES-SIM
• SSP scenarios
• RCP scenarios