The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/14935791

Ramoni Perazzi, Paolo; Passamani, Marcelo; Thielen, Dirk; Padovani, Carlos Roberto; Arizapana, Marco Aurelio (2021): BrazilClim: script to gauge-calibrate the surfaces. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/14935791.v1

Software

• Livestock Raising
• Horticultural Crops
• Ecological Applications
• Remnant Vegetation and Protected Conservation Areas
• Environmental and Natural Resource Evaluation
• Forestry Sciences
• Plant Biology
• Ecology
• Environmentally Sustainable Animal Production
• Environmental Science and Management
• Ecosystem Assessment and Management
• Animal Production
• Evolutionary Biology
• Agriculture, Land and Farm Management
• Environmentally Sustainable Plant Production
• Flora, Fauna and Biodiversity
• Control of Pests, Diseases and Exotic Species
• Forestry
• Rehabilitation of Degraded Environments
• Pasture, Browse and Fodder Crops
• Climate and Climate Change
• Crop and Pasture Production
• Zoology

Bioclimatic variables, Brazil, land surface temperatures, Machine learning, precipitation, Spatial interpolation, TRMM 3B43 v7

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Paolo Ramoni Perazzi, Marcelo Passamani , Dirk Thielen , Carlos Roberto Padovani, Marco Aurelio Arizapana

A script that produces the monthly surfaces for each one of the covariates required to create the bioclimatic dataset: maximum and minimum temperatures, as well as precipitation. These surfaces are created applying several interpolation techniques, based on climatic information measured on-field (Supplementary Material A; DOI: 10.4121/14932947) and surfaces from GMTED2010 (digital elevation model), TRMM 3B43 v7 and NOAA (that must be downloaded from the respective sources). It also uses elevation and latitudes in the case of temperatures. Outputs are generated in GeoTiff format and 30 arc-sec resolution.

• 2021-08-27 first online, published, posted

4TU.ResearchData

.txt

BrazilClim: The overcoming of limitations of preexisting bioclimate data

Federal University of Lavras, Laboratory of Ecology and Conservation of Mammals