Environmental Data: Dataset for "Dynamic crack propagation in weak sno...
Description
This data set includes material and results described in the related research article: Bergfeld, B., van Herwijnen, A., Reuter, B., Bobillier, G., Dual,...
Citation
Bergfeld, B., van Herwijnen, A., Reuter, B., Bobillier, G., Dual, J., Schweizer, J. (2021). Dataset for "Dynamic crack propagation in weak snowpack layers: Insights from high-resolution, high-speed photography". EnviDat. https://www.doi.org/10.16904/envidat.231.
Resources
Supplementary material
# Supplementary material to the publication Bergfeld et al 2021 - description of the reverse crack - additional snowpack parameters derived from the SMP measurements
Supplementary materialVideos of crack propagation
The videos show the cracking process in three example Propagation Saw Tests (flat field). The upper panel shows strain on top of the recorded movie frames. The second row shows vertical (*w*, blue line) and horizontal (*u*, orange line) displacement fields. The third and fourth row show the first and second time derivatives, namely the velocity and acceleration field.
Videos of crack propagationVideos
The videos are .mp4 exports of the raw files (reduced 50 times in time)
VideosCrack speed and Touchdown distance data
Data is stored as netcdf files as python/xarray Datasets. Datasets are self-explaining and contain the necessary information and metadata. Information on how to load the netCDF files (datasets) can be found at "http://xarray.pydata.org/en/stable/"
Crack speed and Touchdown distance dataDIC Data
Data contains the displacement, strain, velocity and acceleration fields measured during the crack propagation process in our three example Propagation Saw Tests (PSTs). Data is stored as netcdf files as python/xarray Datasets. Datasets are self-explaining and contain the necessary metadata (field notes on the PSTs, camera settings, Digital Image Corrrelation parameters, preprocessing parameters). Information on how to load the netCDF files (datasets) can be found at "http://xarray.pydata.org/en/stable/"
DIC Data