# The datasets provided here support the publication "Tree contributions to climate change adaptation through reduced cattle heat stress and benefits to milk and beef production"

## Folder "ANZ scenarios" contains geotiff spatial data representing projected DMIf for A-NZ under tree and no tree conditions
# The folders are named in the format
# RCP-Year-Model-id-tree condition
# in which RCP is the Representative Concentration pathway
# Year is the modelled year
# Model is the climate model used
# id is a unique identifier for the combination of input variables and corresponds to the row number in Fig5DATA.csv
# tree condition is either "noshade" indicating no tree presence and "shade" indicating tree presence
# Each geotiff file contains 12 layers representing the months January-December.

## Folder "Input parameters ANZ" contains two datasets used in the A-NZ simulation
# "dairy-agesize.csv" lists the characteristics of the dairy herd used in the simulation
# sunhours.tiff is a geospatial dataset with 12 layers, indicating approximate daily sun hours for each of 12 months (January-December)

## Cattle heat stress code.R includes equations and some datasets used in simulation
# This scripts is written in the R statistical programming language
# It includes 5 generally applicable functions that represent equations listed in the Supplementary Information
# It includes one example function used to process the A-NZ climate projection datasets used for the simulation
# The code also includes some datasets e.g. Table 1 from the paper and a table of beef age and size classes

## Fig1DATA.csv
# This file includes data used to create Figure 1

## Fig2DATA.csv
# This file includes data used to create Figure 2

## Fig3DATA.tif
# This file includes geospatial data used to create Figure 3

## Fig5DATA.csv
# This file includes simulation output data used to create Figure 5

## FigS2DATA.shp and associated files
# These files are a shapefile gformat geospatial dataset used to create Figure S2 and parameterise the A-NZ simulation

## Folder "Climate" contains geotiff spatial data representing climate data layers
# The folders are named in the format
# RCP-Year-Model-id-climate variable
# in which RCP is the Representative Concentration pathway
# Year is the modelled year
# Model is the climate model used
# id is a unique identifier for the combination of input variables and corresponds to the row number in Fig5DATA.csv
# climate variable corresponds to the relevant climate variable
# Each geotiff file contains 12 layers representing the months January-December.