11 datasets found

Wind-Topo is a statistical downscaling model for near surface wind fields especially suited for highly complex terrain. It is based on deep learning and was trained (calibrated)...

Each set includes the meteorological variables (resampled 24-hour averages) and the profile variables extracted from the simulated profiles for each of the weather stations of...

We present forecasts of land-use/land-cover (LULC) change for Switzerland for three time-steps in the 21st century under the representative concentration pathways 4.5 and 8.5,...

Snow Height Classification dataset provides manually annotated snow height data that can be used for development and evaluation of automatic snow height classification...

This dataset contains the Distributed Acoustic Sensing (DAS), radar detection data used for training and result analysis in the GRL paper titled Automatic Monitoring of...

Datasets used to implement the wet-snow avalanche activity model presented in the article: Hendrick, M., Techel, F., Volpi, M., Olevski, T., Pérez-Guillén, C., van Herwijnen,...

We developed a map of cropland and grassland allocation for Switzerland based on several indices dominantly derived from Sentinel-2 satellite imagery captured over multiple...

This data set was used in the analysis by Techel et al. Forecasting avalanche danger: human-made forecasts vs. fully automated model-driven predictions, submitted to Natural...

The data set contained in this repository was used in the analysis by Mayer et al. (2023): Mayer, S. I., Techel, F., Schweizer, J., and van Herwijnen, A.: Prediction of natural...

This dataset contains the classification and localization results obtained during the automatic classification of avalanches during the winter season 2017.

We used machine learning to test how well such measures predict people’s overall tendencies to romantically desire others (actor variance) and to be desired by others (partner...