Welcome to the Fatiando a Terra FAIR data collection

This organization houses the curated collection of FAIR data that is used in the Fatiando a Terra project tutorials and documentation.

Each repository here contains Python code that downloads, preprocesses, and repackages geophysical data that is available under permissive open licenses or in the public domain. The curated data are then published as GitHub release artifacts and on our Zenodo community.

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Downloading the data

These datasets are the source for the Ensaio package and can be easily downloaded with Pooch:

import pooch
import pandas as pd

fname = pooch.retrieve(
    url="doi:10.5281/zenodo.5882430/southern-africa-gravity.csv.xz",
    known_hash="md5:1dee324a14e647855366d6eb01a1ef35",
)
data = pd.read_csv(fname)

You'll find the DOI, file name, and MD5 hash of each dataset. All can be found in the respective data repository.

Versioning

Datasets in this collection use only a single number to denote their versions. This is because any change to data/metadata can lead to code that relies on them breaking, so semantic versioning wouldn't make sense. New releases are made when data/metadata are changed, added, or deleted. Each data release is also assigned a unique DOI on Zenodo.

⚠️ Important: We recommend pinning (specifying explicitly) the version of each dataset in your tutorial or documentation to guarantee that the same version is always used.