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: 10.4121/14932947

Ramoni Perazzi, Paolo; Passamani, Marcelo; Thielen, Dirk; Padovani, Carlos Roberto; Arizapana, Marco Aurelio (2021): BrazilClim primary and bioclimatic surfaces. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14932947.v1

Dataset

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

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

1981-2019

CC BY 4.0

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

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

BrazilClim version 1.0, built using information measured for 1981-2019. It includes monthly climate data for minimum and maximum temperatures, as well as precipitation. In these cases, each “zip” file contains 12 GeoTiff files, one for each month (from 01 for January to 12 for December). There are also 19 bioclimatic variables. The data is available at a resolution of 30 seconds.

• 2021-07-19 first online, published, posted

4TU.ResearchData

GeoTiff

BrazilClim: The overcoming of limitations of preexisting bioclimate data

• https://doi.org/10.4121/14924397.v1
• https://doi.org/10.4121/14925048.v1
• https://doi.org/10.4121/14932251.v1

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