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Canada wide monthly bioclimate data generated using the BioSim software from 1980-2020

Description: This dataset provides climate data (19 bioclimate variables as defined by worldclim) that were generated using the Biosim 11 software at a spatial resolution of 9 km across Canada between 1980-2020. Please refer to https://www.worldclim.org/data/bioclim.html for information about the variables. The dataset contains: the annual mean temperature, mean diurnal range, isothermality, temperature seasonality, maximum temperature of warmest month, minimum temperature of coldest month, temperature annual range, mean temperature of wettest quarter, mean temperature of driest quarter, mean temperature of warmest quarter, mean temperature of coldest quarter, annual precipitation, precipitation of wettest month, precipitation of driest month, precipitation seasonality (coefficient of variation), precipitation of wettest quarter, precipitation of driest quarter, precipitation of warmest quarter, precipitation of coldest quarter.
Authors: Marquis, Benjamin; Natural Resources Canada
Keywords: Climate
Canada
Temperature
Precipitation
Bioclimate variables
Field of Research: 
Earth and related environmental sciences
>
Natural environment sciences
>
Natural (biophysical) environment management
Publication Date: 2024-11-04
Publisher: Federated Research Data Repository / dépôt fédéré de données de recherche
Funder: The federal Genomics and Research Development Initiative (GRDI) project Genomic Adaptation and Resilience to climate change (GenARCC)
URI: https://doi.org/10.20383/103.01119
Geographic Coverage: 
Country
Canada
Geolocation Box: 
West Longitude
-142
East Longitude
-52
North Latitude
84
South Latitude
41

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Access to this dataset is subject to the following terms:
Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/
Citation
Marquis, B. (2024). Canada wide monthly bioclimate data generated using the BioSim software from 1980-2020. Federated Research Data Repository. https://doi.org/10.20383/103.01119