Supporting files for Seddon et al. (2016) Nature (DOI 10.1038/nature16986). Download and unzip each of the following files, in addition to the main data zip files and store all in the same directory. Change the 'mainDir' argument in the 'script_ORA.R' file to this directory to run the code.

Details of the files included in this directory are as follows:

eviTSExFig4 - EVI time series extracted from 1 degree cells from dry land regions for plotting Extended Data Figure 4. See section of code in 'script_ORA.R' for more details.

landsea.txt - land sea mask used in preparing data and plotting figures. Aerived from the MOD44W land-water mask product (Saloman et al 2004). MOD44W was originally at 7.5" (~250m) so we aggregated this to 0.05 deg (~5km) to make our land-sea mask.  

Ascii text file projection = geographic projection spatial resolution = 0.05 degrees min x = -180 max x = 180 min y = -60 max x = 90 rows = 3000 cols = 7200 bit depth = 16 bit signed integer nodata (sea) = -9999, land surface = 1.

matlabMappingscript.m - mapping script (Matlab) used to make final figures seen in publication.

script_mappingFun.R - R script (R Core Team 2015) containing functions for extracting results from a VSI function object (see script_vsiFun.R)

script_ORA.R - R script (R Core Team 2015) containing main data preparation and VSI calculation procedures. 

script_VSI.R - R script (R Core Team 2015) containing functions for calculating VSI in a given pixel.

totPrecProj.grd/ toPrecProj.gri - Raster grid file file of WorldClim total annual precipitation (2.5 minutes of a degree) (Hijmans et al. 2005), reprojected to the resolution for all analyses used in this study (0.05 degree) using the bilinear interpolation method in the raster package (Hijmans et al. 2015) in R (R Core Team 2015).
Geographic projection spatial resolution = 0.05 degrees min x = -180 max x = 180 min y = -60 max x = 90 rows = 3000 cols = 7200 bit depth = 16 bit signed integer units = mm/ year.

References

Hijmans, R. J. (2015) raster: Geographic Data Analysis and Modeling. R package version 2.4-20. at <http://CRAN.R-project.org/package=raster>

Hijmans, R.J., Cameron, S.E., Parra, J.L., Jones, P.G. & Jarvis, A. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25, 1965–1978 (2005).

R Core Team (2015) R: A language and environment for statistical computing. (2015). at <http://www.R-project.org/>

Salomon J, Hodges J, Friedl M, Schaaf C, Strahler A, Gao F, Schneider A, Zhang X, El Saleous N, Wolfe R (2004) Global land–water mask derived from MODIS nadir BRDF–adjusted reflectances (NBAR) and the MODIS land cover algorithm. (URL: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table/mod44w)