This repository contains several datasets to serve as examples for Pastas. Each dataset is contained in an individual folder. The data itself is stored as csv-files.
The datasets may be obtained through Pastas (version 1.5 or higher) using the following code:
import pastas as ps
data = ps.load_dataset("collenteur_2023") # returns a dictionary
data["heads"] # extract the heads
The following datasets are currently available:
"vonk_2024"
: synthetic head data from a MODFLOW model (Vonk et al., 2024)"collenteur_2023"
: heads and stresses from Switzerland (Collenteur et al., 2023)"collenteur_2021"
: timesteps of irregular (Collenteur, 2021)"collenteur_2019"
: head, rain and evaporation time series from example 1 in (Collenteur et al. 2019)"spek_2017"
: heads and stresses from The Netherlands (van der Spek, 2017)
See the individual subfolders for more information on each dataset.
- each dataset is contained in a folder with the name of that dataset
- each csv-file has to have a a format where the first row is the header and the first column the index of a Pandas DataFrame
- each dataset should preferably be related to a scientific publication