Data from: MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling

• Main Authors: Vega, Greta C., Pertierra, Luis R., Olalla-Tárraga, Miguel Ángel
• Format: Dataset
• Language: unknown
• Published: Dryad Digital Repository 2017
• Subjects: bioclimatic; MERRAclim; macroecology; biogeography; Global; Life sciences; medicine and health care; environmental data; geo; envir; Antarctic; Merra; The Antarctic; Antarc*; Antarctica
• Online Access: https://doi.org/10.5061/dryad.s2v81.2; https://doi.org/10.5061/DRYAD.S2V81.1; https://doi.org/10.5061/dryad.s2v81

Species Distribution Models (SDMs) combine information on the geographic occurrence of species with environmental layers to estimate distributional ranges and have been extensively implemented to answer a wide array of applied ecological questions. Unfortunately, most global datasets available to pa...