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Covariate Datasets

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Covariate datasets provide environmental, ecological, and anthropogenic variables that serve as inputs for modeling, analysis, and prediction across disciplines such as ecology, climate science, and land management. These include bioclimatic layers, vegetation structure, soil attributes, and human influence indicators.

To access the datasets on RCAC clusters: 

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$ module avail
$ module load datasets
$ module avail Covariates

Tips:

  • Use echo $ENV_NAME to check the environment value.
  • To see all environment variables related to a dataset, you can load the module then use: env | grep <DATASET_NAME>
  • To unload the module and remove the environment settings: module unload <DATASET_NAME>
  • Each dataset module sets environment variables (e.g., $<DATASET_NAME>_ROOTDIR, $<DATASET_NAME>_HOME, $RCAC_<DATASET_NAME>_ROOT, and $RCAC_<DATASET_NAME>_VERSION) that simplify dataset access and version management within your jobs and workflows.

Covariate Datasets

Dataset Description
Cattle Distribution of cattle in 2010 expressed in total number of cattle per pixel (5 min of arc)
CHELSA_Present_bio High-resolution climatic data for present-day bioclimatic analysis
CHELSA_2011-2040 Climatic data projections for analysis and modeling
CHELSA_2041-2070 Climatic data projections for mid-century climate modeling
CHELSA_2071-2100 End-of-century climate projections
ForestAge Mapped global forest age from inventories, biomass, and climate data
ForestHeight2020 Integration of GEDI and Landsat data for global forest canopy height
ForestManagement Detailed forest management data at a 100m resolution
GEDI Gridded land surface metrics from GEDI data
HumanFootprint Global human footprint analysis at 1km resolution
PBCOR_V1.0 Corrected global high-resolution precipitation climatologies
PlantedYear Year of planting for global plantation areas
Roadless A global map of roadless areas for conservation purposes
Soil_WISE30sec Harmonized global soil property database for modeling applications
Tree_Species_Richness Dataset on global tree species diversity and richness
WorldClim_Historical_bio Historical climate data for global land areas