ReadMe
Associated publication:
von Oppen, J., Assmann, J.J., Bjorkman, A.D., Treier, U.A., Elberling,
B., Nabe-Nielsen, J., & Normand, S. (2022) Global Change
Biology
The zip file contains data and code from the analyses for von Oppen et al. (2022) Global Change Biology. Access through the provided R project file (e.g. with RStudio) is recommended for seamless running of the code. Please see the paper (link in the zenodo archive) for methodological details, results and discussion.
(folders/files)
data
geo_features: Geographic data used for creating maps (hydrology features and coastline; Fig. 1a & S4). All digitised by JvO
location_data:
plot_data: data from study plots
LDI_lookup_table.csv: lookup table for logger serial numbers
LDI_plot_level_data.csv: raw plot-level metadata
LDI_soil_particle_fractions.csv: soil particle fractions used in soil moisture calibration
processed: data files created in the data cleaning process (>> scripts/data_cleaning.R)
disko_veg_microclim.Rproj: RStudio project file
figures
drawings: conceptual drawings of sensors and study systems that were used in figures, all created by JvO
Code to recreate figures is in scripts/figures.R (maps in Figs. 1a and S4 require ArcticDEM data)
model_outputs: model output files (>> scripts/analyses.R). File naming scheme: “model_output_{sensor or sensor pair for comparison}_{if winter season: ndjfm}_{plot radius considered for predictor data [50/200/564 cm]}.Rdata”. Model outputs from (k)NDVI models finish with the respective string.
scripts
The data are being made openly available upon publication of the study. However, we kindly ask you to contact us before using the data:
Jonathan von Oppen, Department of Biology, Aarhus University, Denmark. jonathan.vonoppen@bio.au.dk
Dataset owner and manager: Signe Normand, Department of Biology, Aarhus University, Denmark. signe.normand@bio.au.dk