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Meteorological Time Series Aligned with Projected Temperature Changes
This dataset provides 50 years of seasonal synthetic hourly time series for five meteorological variables: incoming shortwave radiation, total precipitation, relative humidity,... -
Cloud Optimized Raster Encoding (CORE) format
Acknowledgements: The CORE format was proudly inspired by the Cloud Optimized GeoTIFF (COG) format, by considering how to leverage the ability of clients issuing HTTP GET range... -
Simulation parameters and outputs for a rigorous approach to the specific sur...
In the associated study [1], two time-lapse temperature gradient metamorphism series of three-dimensional micro-computed tomography images of snow (obtained by [2]) have been... -
Two years of High-resolution Bottom Pressure Measurements from a Tide Gauge a...
Two years long time series of high-resolution bottom pressure measurements from a tide gauge configures to measure with a time span of 2 minutes. The tide gauge was deployed... -
Arthropod biomass, abundance and species richness trends over 32 years in the...
Recent publications about declines in arthropod biomass, abundance and species diversity raise concerns and call for measures. Agricultural intensification is likely one cause... -
Groundwater time series Studibach (Rinderer et al., 2019, WRR)
Groundwater time series between 2010 and 2014 of the distributed monitoring system in the Studibach (C7), Alptal, Switzerland. Data published in Rinderer M., van Meerveld I,... -
Sentinel-2 time series of Switzerland
We processed Sentinel-2 image time series from 2017 to 2023 for Switzerland with the Software FORCE (Frantz 2019) on the basis of Sentinel-2 images. The respective parameter... -
Tree species profiles from Sentinel-2 time series
Tree species profiles from Sentinel-2 time series We obtained tree species-specific Sentinel-2 time series for the years 2019 and 2020. The Sentinel-2 time series originated... -
TreeNetAI
A Toolbox designed around neural networks for time series analysis of TreeNet data. The software containing the machine learning models is stored as a repository on GitHub... -
ERRA -- an R script for Ensemble Rainfall-Runoff Analysis
ERRA is a data-driven, nonparametric, model-independent method for quantifying rainfall-runoff relationships across a spectrum of time lags, in systems that may be nonlinear,... -
Overland and topsoil interflow time series from the Studibach - summer 2022
The dataset comprises the time series of overland flow (OF) and topsoil interflow (TIF) discharges from 14 small runoff plots (1 x 3 m) over 27 rainfall events in 2022 across...