Temperature series for 9 Scottish mountain sites, including generation code

Dataset and code supporting analysis of mountain hare phenology changes due to climate change. Underlying data: Met Office (2019): MIDAS Open: UK daily temperature data, v201908. Centre for Environmental Data Analysis, 30 October 2019. doi:10.5285/b37382e8c1e74b849831a5fa13afdcae. http://dx.doi.org/...

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Bibliographic Details
Main Authors: Spencer, Michael, Zimova, Marketa
Format: Dataset
Language:unknown
Published: Zenodo 2020
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Online Access:https://dx.doi.org/10.5281/zenodo.3948567
https://zenodo.org/record/3948567
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Summary:Dataset and code supporting analysis of mountain hare phenology changes due to climate change. Underlying data: Met Office (2019): MIDAS Open: UK daily temperature data, v201908. Centre for Environmental Data Analysis, 30 October 2019. doi:10.5285/b37382e8c1e74b849831a5fa13afdcae. http://dx.doi.org/10.5285/b37382e8c1e74b849831a5fa13afdcae The hare site elevation data is from Ordnance Survey Terrain 50 (https://www.ordnancesurvey.co.uk/business-government/products/terrain-50). Contains OS data © Crown copyright and database right 2020 : {"references": ["Met Office (2019): MIDAS Open: UK daily temperature data, v201908. Centre for Environmental Data Analysis, 30 October 2019. doi:10.5285/b37382e8c1e74b849831a5fa13afdcae. http://dx.doi.org/10.5285/b37382e8c1e74b849831a5fa13afdcae", "Burt, T. and Holden, J. Changing temperature and rainfall gradients in the British uplands. Climate Research, 45(1):57\u201370, 2010. https://www.jstor.org/stable/24861578", "R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.", "Hadley Wickham (2017). tidyverse: Easily Install and Load the 'Tidyverse'. R package version 1.2.1. https://CRAN.R-project.org/package=tidyverse.", "Garrett Grolemund, Hadley Wickham (2011). Dates and Times Made Easy with lubridate. Journal of Statistical Software, 40(3), 1-25. http://www.jstatsoft.org/v40/i03/.", "Pebesma, E., 2018. Simple Features for R: Standardized Support for Spatial Vector Data. The R Journal 10 (1), 439-446, https://doi.org/10.32614/RJ-2018-009."]}