This repository holds curated sample datasets that can be used in the documentation and tutorials of the Fatiando a Terra project. All datasets are cleaned and formatted versions of openly available data under permissive licenses or in the public domain. More information about datasets and the code for cleaning, formatting, and preprocessing the data can be found at: https://github.com/fatiando/data See the README.md file for information on data sources and their original licenses. NOTE: This collection uses semantic versioning (i.e., MAJOR.MINOR.BUGFIX). Major releases mean that backwards incompatible changes were made to the data. Minor releases add new data without changing existing files. Bug fix releases fix errors in a previous rel...
Ensaio (Portuguese for "rehearsal") is a Python package for downloading open-access sample datasets ...
Pre-Release of Version 0.3. This Version comes with a full documentation accessible under: https://g...
GEO-Bench: m-NeonTree dataset This dataset has been modified to be included in the GEO-Bench datase...
Fatiando a Terra (Portuguese for Slicing the Earth) is an open-source Python toolkit for modeling an...
Fatiando a Terra (Portuguese for Slicing the Earth) is an open-source Python toolkit for modeling an...
Fatiando a Terra (Portuguese for Slicing the Earth) is an open-source Python toolkit for modeling an...
Slides for the KEGS 2023 Symposium presentation. Sources and abstract available in https://www.gith...
This is a public domain compilation of ground measurements of gravity from Southern Africa. The obse...
GEO-Bench: m-bigearthnet dataset This dataset has been modified to be included in the GEO-Benc...
The Specialized Information Service for Solid Earth Geosciences (FID GEO) addresses the digital supp...
The rise of Open Science practices is impacting the entire scientific publishing culture. The transi...
Ensaio (Portuguese for "rehearsal") is a Python package for downloading open-access sample datasets ...
Ensaio (Portuguese for "rehearsal") is a Python package for downloading open-access sample datasets ...
Ensaio (Portuguese for "rehearsal") is a Python package for downloading open-access sample datasets ...
Ensaio (Portuguese for "rehearsal") is a Python package for downloading open-access sample datasets ...
Ensaio (Portuguese for "rehearsal") is a Python package for downloading open-access sample datasets ...
Pre-Release of Version 0.3. This Version comes with a full documentation accessible under: https://g...
GEO-Bench: m-NeonTree dataset This dataset has been modified to be included in the GEO-Bench datase...
Fatiando a Terra (Portuguese for Slicing the Earth) is an open-source Python toolkit for modeling an...
Fatiando a Terra (Portuguese for Slicing the Earth) is an open-source Python toolkit for modeling an...
Fatiando a Terra (Portuguese for Slicing the Earth) is an open-source Python toolkit for modeling an...
Slides for the KEGS 2023 Symposium presentation. Sources and abstract available in https://www.gith...
This is a public domain compilation of ground measurements of gravity from Southern Africa. The obse...
GEO-Bench: m-bigearthnet dataset This dataset has been modified to be included in the GEO-Benc...
The Specialized Information Service for Solid Earth Geosciences (FID GEO) addresses the digital supp...
The rise of Open Science practices is impacting the entire scientific publishing culture. The transi...
Ensaio (Portuguese for "rehearsal") is a Python package for downloading open-access sample datasets ...
Ensaio (Portuguese for "rehearsal") is a Python package for downloading open-access sample datasets ...
Ensaio (Portuguese for "rehearsal") is a Python package for downloading open-access sample datasets ...
Ensaio (Portuguese for "rehearsal") is a Python package for downloading open-access sample datasets ...
Ensaio (Portuguese for "rehearsal") is a Python package for downloading open-access sample datasets ...
Pre-Release of Version 0.3. This Version comes with a full documentation accessible under: https://g...
GEO-Bench: m-NeonTree dataset This dataset has been modified to be included in the GEO-Bench datase...