2024-03-29T12:35:25Z
https://zenodo.org/oai2d
oai:zenodo.org:1421979
2023-03-21T11:02:10Z
software
user-fatiando
Uieda, Leonardo
2018-10-10
<p>Verde is a Python library for processing spatial data (bathymetry, geophysics surveys, etc) and interpolating it on regular grids (i.e., <em>gridding</em>).</p>
<p>Changes in this release:</p>
<ul>
<li>Paper submission to JOSS (<a href="https://github.com/fatiando/verde/pull/134">#134</a>). This is the new default citation for Verde.</li>
<li>Remove default <code>shape</code> for the <code>grid</code> method (<a href="https://github.com/fatiando/verde/pull/140">#140</a>). There is no reason to have one and it wasn’t even implemented in <code>grid_coordinates</code>.</li>
<li>Fix typo in the weights tutorial (<a href="https://github.com/fatiando/verde/pull/136">#136</a>).</li>
</ul>
https://doi.org/10.5281/zenodo.1421979
oai:zenodo.org:1421979
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.1421978
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
geospatial
python
earth sciences
Verde v1.0.1
info:eu-repo/semantics/other
oai:zenodo.org:6481379
2023-03-21T13:16:14Z
openaire_data
user-fatiando
Soler, Santiago R.
Uieda, Leonardo
2022-04-24
<p>This is a topography and bathymetry grid with a resolution of 1 arc-minute over Southern Africa. The grid was generated by cropping the ETOPO1 global topography grid. The heights are referenced to the mean sea level.</p>
<p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p>
<p><strong>Changes made:</strong> Data were cropped to a region that covers only the Southern Africa. Coordinates have been renamed to <em>longitude</em> and <em>latitude</em>. The dataset has been renamed to <em>topography</em>. The metadata of the dataset have been improved following CF-conventions. <strong> </strong></p>
<p><strong>Source: </strong>ETOPO1 <a href="https://doi.org/10.7289/V5C8276M">https://doi.org/10.7289/V5C8276M</a></p>
<p><strong>Source license: </strong><a href="https://ngdc.noaa.gov/mgg/global/dem_faq.html#sec-2.4">public domain</a></p>
<p><strong>Repository: </strong><a href="https://github.com/fatiando-data/southern-africa-topography">https://github.com/fatiando-data/southern-africa-topography</a></p>
https://doi.org/10.5281/zenodo.6481379
oai:zenodo.org:6481379
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.6481378
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Fatiando a Terra Data: Southern Africa - Topography and Bathymetry
info:eu-repo/semantics/other
oai:zenodo.org:157746
2023-03-21T11:02:04Z
software
user-fatiando
Uieda, Leonardo
Oliveira Jr., Vanderlei C
Ferreira, André
Santos, Henrique Bueno
Caparica Jr., José F
Markall, Graham
Bentley, Martin
Almeida, Victor
Kass, M. Andy
Kurnik, Piotr
Silva, Rafael M.
Soler,, Santiago R.
2016-09-28
<p>Fatiando a Terra (Portuguese for Slicing the Earth) is an open-source Python toolkit for modeling and inversion in geophysics. It provides an easy and flexible way to perform and implement geophysical data analysis.</p>
<p>Official website and documentation: http://www.fatiando.org</p>
<p>Main changes to version 0.5: http://www.fatiando.org/changelog.html#version-0-5</p>
https://doi.org/10.5281/zenodo.157746
oai:zenodo.org:157746
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.652264
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics, gravimetry, seismology, earth science
Fatiando a Terra v0.5: Modeling and inversion in geophysics
info:eu-repo/semantics/other
oai:zenodo.org:5882207
2023-03-21T11:02:15Z
openaire_data
user-fatiando
Uieda, Leonardo
2022-01-20
<p>Global 10 arc-minute resolution grids of gravity acceleration (gravitational and centrifugal) at 10 km geometric height.</p>
<p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p>
<p><strong>Changes made: </strong>Convert the grid from the ASCII format of ICGEM to CF-compliant netCDF. Add relevant metadata, including names, units, datum, etc. Fix grid coordinates to be generated by <code>numpy.linspace</code> instead <code>numpy.arange</code> (or the equivalent used by ICGEM internally) to guarantee equal spacing to a higher accuracy. Export to compressed netCDF.</p>
<p><strong>Source: </strong><a href="https://doi.org/10.5880/icgem.2015.1">EIGEN-6C4</a> spherical harmonic model (generated by the <a href="http://icgem.gfz-potsdam.de/home">ICGEM calculation service</a>)</p>
<p><strong>Source license: </strong><a href="https://doi.org/10.5880/icgem.2015.1">CC-BY</a></p>
<p><strong>Repository: </strong><a href="https://github.com/fatiando-data/earth-gravity-10arcmin">https://github.com/fatiando-data/earth-gravity-10arcmin</a></p>
https://doi.org/10.5281/zenodo.5882207
oai:zenodo.org:5882207
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.5882206
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Fatiando a Terra Data: Earth - Gravity grid at 10 arc-minute resolution
info:eu-repo/semantics/other
oai:zenodo.org:3347076
2023-05-09T06:30:06Z
software
user-fatiando
Heagy, Lindsey J.
Pisel, Jesse
Soler, Santiago R.
Uieda, Leonardo
2019-07-23
<p>Verde is a Python library for processing spatial data (bathymetry, geophysics surveys, etc) and interpolating it on regular grids (i.e., <em>gridding</em>).</p>
<p>Changes in this release:</p>
<p>Bug fixes:</p>
<ul>
<li>Return the correct coordinates when passing <code>pixel_register=True</code> and <code>shape</code> to <code>verde.grid_coordinates</code>. The returned coordinates had 1 too few elements in each dimension (and the wrong values). This is because we generate grid-line registered points first and then shift them to the center of the pixels and drop the last point. This only works when specifying <code>spacing</code> because it will generate the right amount of points. When <code>shape</code> is given, we need to first convert it to “grid-line” shape (with 1 extra point per dimension) before generating coordinates. (<a href="https://github.com/fatiando/verde/pull/183">#183</a>)</li>
<li>Reset force coordinates when refitting splines. Previously, the splines set the force coordinates from the data coordinates only the first time <code>fit</code> was called. This means that when fitting on different data, the spline would still use the old coordinates leading to a poor prediction score. Now, the spline will use the coordinates of the current data passed to <code>fit</code>. This only affects cases where <code>force_coords=None</code>. It’s a slight change and only affects some of the scores for cross-validation. (<a href="https://github.com/fatiando/verde/pull/191">#191</a>)</li>
</ul>
<p>New functions/classes:</p>
<ul>
<li>New class <code>verde.SplineCV</code>: a cross-validated version of <code>Spline</code> . that performs grid search cross-validation to automatically tune the parameters of a <code>Spline</code>. (<a href="https://github.com/fatiando/verde/pull/185">#185</a>)</li>
<li>New function <code>verde.longitude_continuity</code> to format longitudes to a continuous range so that they can be indexed with <code>verde.inside</code> (<a href="https://github.com/fatiando/verde/pull/181">#181</a>)</li>
<li>New function <code>verde.load_surfer</code> to load grid data from a Surfer ASCII file (a contouring, griding and surface mapping software from GoldenSoftware). (<a href="https://github.com/fatiando/verde/pull/169">#169</a>)</li>
<li>New function <code>verde.median_distance</code> that calculates the median near neighbor distance between each point in the given dataset. (<a href="https://github.com/fatiando/verde/pull/163">#163</a>)</li>
</ul>
<p>Improvements:</p>
<ul>
<li>Allow <code>verde.block_split</code> and <code>verde.BlockReduce</code> to take a <code>shape</code> argument instead of <code>spacing</code>. Useful when the size of the block is less meaningful than the number of blocks. (<a href="https://github.com/fatiando/verde/pull/184">#184</a>)</li>
<li>Allow zero degree polynomials in <code>verde.Trend</code>, which represents a mean value. (<a href="https://github.com/fatiando/verde/pull/162">#162</a>)</li>
<li>Function <code>verde.cross_val_score</code> returns a numpy array instead of a list for easier computations on the results. (<a href="https://github.com/fatiando/verde/pull/160">#160</a>)</li>
<li>Function <code>verde.maxabs</code> now handles inputs with NaNs automatically. (<a href="https://github.com/fatiando/verde/pull/158">#158</a>)</li>
</ul>
<p>Documentation:</p>
<ul>
<li>New tutorial to explain the intricacies of grid coordinates generation, adjusting spacing vs region, pixel registration, etc. (<a href="https://github.com/fatiando/verde/pull/192">#192</a>)</li>
</ul>
<p>Maintenance:</p>
<ul>
<li>Drop support for Python 3.5. (<a href="https://github.com/fatiando/verde/pull/178">#178</a>)</li>
<li>Add support for Python 3.7. (<a href="https://github.com/fatiando/verde/pull/150">#150</a>)</li>
<li>More functions are now part of the base API: <code>n_1d_arrays</code>, <code>check_fit_input</code> and <code>least_squares</code> are now included in <code>verde.base</code>. (<a href="https://github.com/fatiando/verde/pull/156">#156</a>)</li>
</ul>
<p>This release contains contributions from:</p>
<ul>
<li>Goto15</li>
<li>Lindsey Heagy</li>
<li>Jesse Pisel</li>
<li>Santiago Soler</li>
<li>Leonardo Uieda</li>
</ul>
https://doi.org/10.5281/zenodo.3347076
oai:zenodo.org:3347076
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.1478244
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
geospatial
earth sciences
python
Verde v1.2.0
info:eu-repo/semantics/other
oai:zenodo.org:3530750
2023-03-21T11:02:23Z
software
user-fatiando
Uieda, Leonardo
2019-11-06
<p>A Python package for reference ellipsoids for geodesy, geophysics, and coordinate calculations. This is a placeholder to reserve a DOI for the package as a whole.</p>
https://doi.org/10.5281/zenodo.3530750
oai:zenodo.org:3530750
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3530749
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
geodesy
Boule: Reference ellipsoids for geodesy, geophysics, and coordinate calculations
info:eu-repo/semantics/other
oai:zenodo.org:3603997
2023-03-21T11:02:23Z
software
user-fatiando
Uieda, Leonardo
2020-01-10
<p>A Python package for reference ellipsoids for geodesy, geophysics, and coordinate calculations.</p>
<p>First release of <em>Boule</em> including basic functionality:</p>
<ul>
<li>
<p>Definition of the <code>Ellipsoid</code> class: based on the semi-major axis, flattening, geocentric gravitational constant, and angular velocity. Other quantities are derived from these 4.</p>
</li>
<li>
<p>Computation of normal gravity and coordinate conversions between geodetic and geocentric.</p>
</li>
<li>
<p>Ellipsoid realizations for the Earth (WGS84 and GRS80) and Mars.</p>
</li>
</ul>
https://doi.org/10.5281/zenodo.3603997
oai:zenodo.org:3603997
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3530749
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
geodesy
Boule v0.1.0: Reference ellipsoids for geodesy, geophysics, and coordinate calculations
info:eu-repo/semantics/other
oai:zenodo.org:6143350
2023-03-21T11:02:25Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago Rubén
2022-02-18
<p><strong>Ensaio</strong> (Portuguese for "rehearsal") is a Python package for downloading open-access sample datasets for Geoscience. It taps into the curated collection in <a href="https://github.com/fatiando-data">github.com/fatiando-data</a> and uses <a href="https://www.fatiando.org/pooch/latest/">Pooch</a> to manage downloading and caching data.</p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/ensaio">https://www.fatiando.org/ensaio</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/ensaio">https://github.com/fatiando/ensaio</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.6143350
oai:zenodo.org:6143350
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.5784202
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
data
Ensaio v0.2.0: Practice datasets to probe your code
info:eu-repo/semantics/other
oai:zenodo.org:4914758
2023-03-21T11:02:28Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago Rubén
Rampin, Rémi
van Kemenade, Hugo
Shapero, Daniel
Banihirwe, Anderson
Turk, Matthew
Kowalik, Kacper
Hauser, Mathias
Gregor, Luke
Horta, Danilo
McCloy, Daniel
Robert, Clément
2021-06-08
<p><em>Does your Python package include sample datasets? Are you shipping them with the code? Are they getting too big?</em></p>
<p>Pooch is here to help! It will manage a data <em>registry</em> by downloading your data files from a server only when needed and storing them locally in a data <em>cache</em> (a folder on your computer).</p>
<p>Here are Pooch's main features:</p>
<ul>
<li>Pure Python and minimal dependencies.</li>
<li>Download a file only if necessary (it's not in the data cache or needs to be updated).</li>
<li>Verify download integrity through SHA256 hashes (also used to check if a file needs to be updated).</li>
<li>Designed to be extended: plug in custom download (FTP, scp, etc) and post-processing (unzip, decompress, rename) functions.</li>
<li>Includes utilities to unzip/decompress the data upon download to save loading time.</li>
<li>Can handle basic HTTP authentication (for servers that require a login) and printing download progress bars.</li>
<li>Easily set up an environment variable to overwrite the data cache location.</li>
</ul>
<p><em>Are you a scientist or researcher? Pooch can help you too!</em></p>
<ul>
<li>Automatically download your data files so you don't have to keep them in your GitHub repository.</li>
<li>Make sure everyone running the code has the same version of the data files (enforced through the SHA256 hashes).</li>
</ul>
<p><strong>Pooch v0.7.1 was reviewed at the Journal of Open Source Software:</strong> <a href="https://github.com/openjournals/joss-reviews/issues/1943">https://github.com/openjournals/joss-reviews/issues/1943</a></p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/pooch">https://www.fatiando.org/pooch</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/pooch">https://github.com/fatiando/pooch</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.4914758
oai:zenodo.org:4914758
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3515030
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Python
Pooch v1.4.0: A friend to fetch your data files
info:eu-repo/semantics/other
oai:zenodo.org:5793074
2023-03-21T11:02:26Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago Rubén
van Kemenade, Hugo
Rampin, Rémi
Shapero, Daniel
Banihirwe, Anderson
Turk, Matthew
Kowalik, Kacper
Hauser, Mathias
Gregor, Luke
Horta, Danilo
McCloy, Daniel
Robert, Clément
Leeman, John
Harfouche, Mark
Valentino, Antonio
Buckley, Genevieve
2022-01-24
<p><em>Does your Python package include sample datasets? Are you shipping them with the code? Are they getting too big?</em></p>
<p>Pooch is here to help! It will manage a data <em>registry</em> by downloading your data files from a server only when needed and storing them locally in a data <em>cache</em> (a folder on your computer).</p>
<p>Here are Pooch's main features:</p>
<ul>
<li>Pure Python and minimal dependencies.</li>
<li>Download a file only if necessary (it's not in the data cache or needs to be updated).</li>
<li>Verify download integrity through SHA256 hashes (also used to check if a file needs to be updated).</li>
<li>Designed to be extended: plug in custom download (FTP, scp, etc) and post-processing (unzip, decompress, rename) functions.</li>
<li>Includes utilities to unzip/decompress the data upon download to save loading time.</li>
<li>Can handle basic HTTP authentication (for servers that require a login) and printing download progress bars.</li>
<li>Easily set up an environment variable to overwrite the data cache location.</li>
</ul>
<p><em>Are you a scientist or researcher? Pooch can help you too!</em></p>
<ul>
<li>Automatically download your data files so you don't have to keep them in your GitHub repository.</li>
<li>Make sure everyone running the code has the same version of the data files (enforced through the SHA256 hashes).</li>
</ul>
<p><strong>Pooch v0.7.1 was reviewed at the Journal of Open Source Software:</strong> <a href="https://github.com/openjournals/joss-reviews/issues/1943">https://github.com/openjournals/joss-reviews/issues/1943</a></p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/pooch">https://www.fatiando.org/pooch</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/pooch">https://github.com/fatiando/pooch</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.5793074
oai:zenodo.org:5793074
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3515030
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Python
Pooch v1.6.0: A friend to fetch your data files
info:eu-repo/semantics/other
oai:zenodo.org:3826458
2023-03-21T11:02:29Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago Rubén
Rampin, Rémi
van Kemenade, Hugo
Shapero, Daniel
Banihirwe, Anderson
Turk, Matthew
Kowalik, Kacper
2020-05-14
<p><em>Does your Python package include sample datasets? Are you shipping them with the code? Are they getting too big?</em></p>
<p>Pooch is here to help! It will manage a data <em>registry</em> by downloading your data files from a server only when needed and storing them locally in a data <em>cache</em> (a folder on your computer).</p>
<p>Here are Pooch's main features:</p>
<ul>
<li>Pure Python and minimal dependencies.</li>
<li>Download a file only if necessary (it's not in the data cache or needs to be updated).</li>
<li>Verify download integrity through SHA256 hashes (also used to check if a file needs to be updated).</li>
<li>Designed to be extended: plug in custom download (FTP, scp, etc) and post-processing (unzip, decompress, rename) functions.</li>
<li>Includes utilities to unzip/decompress the data upon download to save loading time.</li>
<li>Can handle basic HTTP authentication (for servers that require a login) and printing download progress bars.</li>
<li>Easily set up an environment variable to overwrite the data cache location.</li>
</ul>
<p><em>Are you a scientist or researcher? Pooch can help you too!</em></p>
<ul>
<li>Automatically download your data files so you don't have to keep them in your GitHub repository.</li>
<li>Make sure everyone running the code has the same version of the data files (enforced through the SHA256 hashes).</li>
</ul>
<p><strong>Pooch v0.7.1 was reviewed at the Journal of Open Source Software:</strong> <a href="https://github.com/openjournals/joss-reviews/issues/1943">https://github.com/openjournals/joss-reviews/issues/1943</a></p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/pooch">https://www.fatiando.org/pooch</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/pooch">https://github.com/fatiando/pooch</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.3826458
oai:zenodo.org:3826458
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3515030
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Python
Pooch v1.1.1: A friend to fetch your data files
info:eu-repo/semantics/other
oai:zenodo.org:5235242
2023-03-21T11:02:27Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago Rubén
Rampin, Rémi
van Kemenade, Hugo
Shapero, Daniel
Banihirwe, Anderson
Turk, Matthew
Kowalik, Kacper
Hauser, Mathias
Gregor, Luke
Horta, Danilo
McCloy, Daniel
Robert, Clément
Harfouche, Mark
2021-08-23
<p><em>Does your Python package include sample datasets? Are you shipping them with the code? Are they getting too big?</em></p>
<p>Pooch is here to help! It will manage a data <em>registry</em> by downloading your data files from a server only when needed and storing them locally in a data <em>cache</em> (a folder on your computer).</p>
<p>Here are Pooch's main features:</p>
<ul>
<li>Pure Python and minimal dependencies.</li>
<li>Download a file only if necessary (it's not in the data cache or needs to be updated).</li>
<li>Verify download integrity through SHA256 hashes (also used to check if a file needs to be updated).</li>
<li>Designed to be extended: plug in custom download (FTP, scp, etc) and post-processing (unzip, decompress, rename) functions.</li>
<li>Includes utilities to unzip/decompress the data upon download to save loading time.</li>
<li>Can handle basic HTTP authentication (for servers that require a login) and printing download progress bars.</li>
<li>Easily set up an environment variable to overwrite the data cache location.</li>
</ul>
<p><em>Are you a scientist or researcher? Pooch can help you too!</em></p>
<ul>
<li>Automatically download your data files so you don't have to keep them in your GitHub repository.</li>
<li>Make sure everyone running the code has the same version of the data files (enforced through the SHA256 hashes).</li>
</ul>
<p><strong>Pooch v0.7.1 was reviewed at the Journal of Open Source Software:</strong> <a href="https://github.com/openjournals/joss-reviews/issues/1943">https://github.com/openjournals/joss-reviews/issues/1943</a></p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/pooch">https://www.fatiando.org/pooch</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/pooch">https://github.com/fatiando/pooch</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.5235242
oai:zenodo.org:5235242
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3515030
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Python
Pooch v1.5.0: A friend to fetch your data files
info:eu-repo/semantics/other
oai:zenodo.org:10037888
2024-02-20T13:06:14Z
software
user-fatiando
Fatiando a Terra Project
Banihirwe, Anderson
Buckley, Genevieve
Gregor, Luke
Harfouche, Mark
Hauser, Mathias
Horta, Danilo
van Kemenade, Hugo
Kempf, Dominic
Kowalik, Kacper
Leeman, John
Ludwig, Björn
McCloy, Daniel
Rampin, Rémi
Robert, Clément
Shapero, Daniel
Soler, Santiago Rubén
Turk, Matthew
Uieda, Leonardo
Valentino, Antonio
2023-10-24
<p><em>Does your Python package include sample datasets? Are you shipping them with the code? Are they getting too big?</em></p>
<p>Pooch is here to help! It will manage a data <em>registry</em> by downloading your data files from a server only when needed and storing them locally in a data <em>cache</em> (a folder on your computer).</p>
<p>Here are Pooch's main features:</p>
<ul>
<li>Pure Python and minimal dependencies.</li>
<li>Download a file only if necessary (it's not in the data cache or needs to be updated).</li>
<li>Verify download integrity through SHA256 hashes (also used to check if a file needs to be updated).</li>
<li>Designed to be extended: plug in custom download (FTP, scp, etc) and post-processing (unzip, decompress, rename) functions.</li>
<li>Includes utilities to unzip/decompress the data upon download to save loading time.</li>
<li>Can handle basic HTTP authentication (for servers that require a login) and printing download progress bars.</li>
<li>Easily set up an environment variable to overwrite the data cache location.</li>
</ul>
<p><em>Are you a scientist or researcher? Pooch can help you too!</em></p>
<ul>
<li>Automatically download your data files so you don't have to keep them in your GitHub repository.</li>
<li>Make sure everyone running the code has the same version of the data files (enforced through the SHA256 hashes).</li>
</ul>
<p><strong>Pooch v0.7.1 was reviewed at the Journal of Open Source Software:</strong> <a href="https://github.com/openjournals/joss-reviews/issues/1943">https://github.com/openjournals/joss-reviews/issues/1943</a></p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/pooch">https://www.fatiando.org/pooch</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/pooch">https://github.com/fatiando/pooch</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
<p><strong>Note:</strong> Authors are listed in alphabetical order by last name.</p>
https://doi.org/10.5281/zenodo.10037888
oai:zenodo.org:10037888
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3515030
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Python
Pooch v1.8.0: A friend to fetch your data files
info:eu-repo/semantics/other
oai:zenodo.org:5589989
2023-05-08T10:04:37Z
software
user-fatiando
Soler, Santiago R.
Uieda, Leonardo
Oliveira Jr, Vanderlei C
Shea, Nicholas
Pesce, Agustina
2021-10-21
<p>Harmonica is a Python library for processing and modeling gravity and magnetic data. It includes common processing steps, like calculation of Bouguer and terrain corrections, reduction to the pole, upward continuation, equivalent layers, and more. There are forward modeling functions for basic geometric shapes, like spheres, prisms, polygonal prisms, and tesseroids. The inversion methods are implemented as classes with an interface inspired by scikit-learn (like <a href="https://www.fatiando.org/verde">Verde</a>).</p>
https://doi.org/10.5281/zenodo.5589989
oai:zenodo.org:5589989
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3628741
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Harmonica: Forward modeling, inversion, and processing gravity and magnetic data
info:eu-repo/semantics/other
oai:zenodo.org:5577885
2023-03-21T11:02:22Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago Rubén
Dinneen, Chris
Gomez, Mariana
Li, Lu
2021-10-19
<p><em>Boule</em> is Python library for representing <a href="https://en.wikipedia.org/wiki/Reference_ellipsoid">Reference Ellipsoids</a> and calculating their gravity fields.</p>
<p>The main use cases are:</p>
<ul>
<li>Calculating normal gravity (for gravity anomalies and disturbances).</li>
<li>Spherical gravity modelling, which requires geodetic to geocentric spherical coordinate conversions.</li>
<li>Input ellipsoid parameters for spherical harmonic analysis.</li>
</ul>
<p>Boule is French for "ball" and also a <a href="https://en.wikipedia.org/wiki/Boule_(bread)">traditional shape of bread resembling a squashed ball</a> (much like the Earth).</p>
https://doi.org/10.5281/zenodo.5577885
oai:zenodo.org:5577885
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3530749
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
geodesy
python
gravity
Boule v0.3.1: Reference ellipsoids for geodesy and geophysics
info:eu-repo/semantics/other
oai:zenodo.org:7690145
2024-02-20T13:10:19Z
software
user-fatiando
Fatiando a Terra Project
Esteban, Federico D.
Li, Lu
Oliveira Jr, Vanderlei C
Pesce, Agustina
Shea, Nicholas
Soler, Santiago R.
Tankersley, Matthew
Uieda, Leonardo
2023-03-01
<p>Harmonica is a Python library for processing and modeling gravity and magnetic data. It includes common processing steps, like calculation of Bouguer and terrain corrections, reduction to the pole, upward continuation, equivalent layers, and more. There are forward modeling functions for basic geometric shapes, like spheres, prisms, polygonal prisms, and tesseroids. The inversion methods are implemented as classes with an interface inspired by scikit-learn (like <a href="https://www.fatiando.org/verde">Verde</a>).</p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/harmonica">https://www.fatiando.org/harmonica</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/harmonica">https://github.com/fatiando/harmonica</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
<p><strong>Note:</strong> Authors are listed in alphabetical order by last name.</p>
https://doi.org/10.5281/zenodo.7690145
oai:zenodo.org:7690145
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3628741
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Harmonica v0.6.0: Forward modeling, inversion, and processing gravity and magnetic data
info:eu-repo/semantics/other
oai:zenodo.org:5593112
2023-05-08T10:04:37Z
software
user-fatiando
Soler, Santiago R.
Uieda, Leonardo
Oliveira Jr, Vanderlei C
Shea, Nicholas
Pesce, Agustina
2021-10-22
<p>Harmonica is a Python library for processing and modeling gravity and magnetic data. It includes common processing steps, like calculation of Bouguer and terrain corrections, reduction to the pole, upward continuation, equivalent layers, and more. There are forward modeling functions for basic geometric shapes, like spheres, prisms, polygonal prisms, and tesseroids. The inversion methods are implemented as classes with an interface inspired by scikit-learn (like <a href="https://www.fatiando.org/verde">Verde</a>).</p>
https://doi.org/10.5281/zenodo.5593112
oai:zenodo.org:5593112
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3628741
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Harmonica: Forward modeling, inversion, and processing gravity and magnetic data
info:eu-repo/semantics/other
oai:zenodo.org:16205
2023-03-21T11:02:08Z
software
user-fatiando
Uieda, Leonardo
Oliveira Jr., Vanderlei C.
Ferreira, André
Santos, Henrique Bueno
2015-03-19
<p>Fatiando a Terra (Portuguese for Slicing the Earth) is an open-source Python toolkit for modeling and inversion in geophysics. It provides an easy and flexible way to perform and implement geophysical data analysis.</p>
<p>Official website and documentation: http://www.fatiando.org</p>
<p>Changes to version 0.3:<br>
* New module fatiando.gravmag.normal_gravity<br>
* **BUG FIX**: fatiando.gravmag.prism gravitational field functions now give correct results in all sides of the prism as well as inside.<br>
* PEP8 compliance (started by @SamuelMarks)<br>
* Cython implementations of fatiando.gravmag.sphere and fatiando.gravmag.polyprism.<br>
* Multithreaded parallelism with OpenMP in fatiando.gravmag.sphere, fatiando.gravmag.polyprism and fatiando.gravmag.prism. Speedups are range from practically none to over 3x. Works automatically. Windows users will have to install an extra dependency! See the [install instructions](http://fatiando.readthedocs.org<br>
* New class LCurve in fatiando.inversion.regularization for estimating the regularization parameter using an L-curve criterion.<br>
* New module fatiando.gravmag.magdir for estimating the total magnetization vector of multiple sources.</p>
https://doi.org/10.5281/zenodo.16205
oai:zenodo.org:16205
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/
info:eu-repo/semantics/openAccess
BSD 1-Clause License
https://svnweb.freebsd.org/base/head/include/ifaddrs.h?revision=326823
geophysics
modeling
gravity
inverse problems
inversion
Fatiando a Terra v0.3: Modeling and inversion in geophysics
info:eu-repo/semantics/other
oai:zenodo.org:16207
2023-03-21T11:02:07Z
software
user-fatiando
Uieda, Leonardo
Oliveira Jr., Vanderlei C.
Ferreira, André
Santos, Henrique Bueno
2015-03-19
<p>Fatiando a Terra (Portuguese for Slicing the Earth) is an open-source Python toolkit for modeling and inversion in geophysics. It provides an easy and flexible way to perform and implement geophysical data analysis.</p>
<p>Official website and documentation: http://www.fatiando.org</p>
<p>This is the first public release of the package.</p>
https://doi.org/10.5281/zenodo.16207
oai:zenodo.org:16207
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/
info:eu-repo/semantics/openAccess
BSD 1-Clause License
https://svnweb.freebsd.org/base/head/include/ifaddrs.h?revision=326823
geophysics
modeling
inversion
gravity
seismic
inverse problems
Fatiando a Terra v0.1: Modeling and inversion in geophysics
info:eu-repo/semantics/other
oai:zenodo.org:1478245
2023-05-09T06:30:06Z
software
user-fatiando
Uieda, Leonardo
Pisel, Jesse
2018-11-06
<p>Verde is a Python library for processing spatial data (bathymetry, geophysics surveys, etc) and interpolating it on regular grids (i.e., <em>gridding</em>).</p>
<p>Changes in this release:</p>
<p>New features:</p>
<ul>
<li><strong>New</strong> <code>verde.grid_to_table</code> function that converts grids to xyz tables with the coordinate and data values for each grid point (<a href="https://github.com/fatiando/verde/pull/148">#148</a>)</li>
<li>Add an <code>extra_coords</code> option to coordinate generators (<code>grid_coordinates</code>, <code>scatter_points</code>, and <code>profile_coordinates</code>) to specify a constant value to be used as an extra coordinate (<a href="https://github.com/fatiando/verde/pull/145">#145</a>)</li>
<li>Allow gridders to pass extra keyword arguments (<code>**kwargs</code>) for the coordinate generator functions (<a href="https://github.com/fatiando/verde/pull/144">#144</a>)</li>
</ul>
<p>Improvements:</p>
<ul>
<li>Don’t use the Jacobian matrix for predictions to avoid memory overloads. Use dedicated and numba wrapped functions instead. As a consequence, predictions are also a bit faster when numba is installed (<a href="https://github.com/fatiando/verde/pull/149">#149</a>)</li>
<li>Set the default <code>n_splits=5</code> when using <code>KFold</code> from scikit-learn (<a href="https://github.com/fatiando/verde/pull/143">#143</a>)</li>
</ul>
<p>Bug fixes:</p>
<ul>
<li>Use the xarray grid’s pcolormesh method instead of matplotlib to plot grids in the examples. The xarray method takes care of shifting the pixels by half a spacing when grids are not pixel registered (<a href="https://github.com/fatiando/verde/pull/151">#151</a>)</li>
</ul>
<p>New contributors to the project:</p>
<ul>
<li>Jesse Pisel</li>
</ul>
https://doi.org/10.5281/zenodo.1478245
oai:zenodo.org:1478245
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.1478244
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
geospatial
earth sciences
python
Verde v1.1.0
info:eu-repo/semantics/other
oai:zenodo.org:7907182
2024-02-20T13:10:00Z
software
user-fatiando
Fatiando a Terra Project
Askevold, Sarah Margrethe
Hoese, David
Heagy, Lindsey
Pisel, Jesse
Soler, Santiago R.
Uieda, Leonardo
2023-05-08
<p>Verde is a Python library for processing spatial data (topography, point clouds, bathymetry, geophysics surveys, etc) and interpolating them on a 2D surface (i.e., <em>gridding</em>) with a hint of machine learning.</p>
<p><strong>Verde v1.0.0 was reviewed at the Journal of Open Source Software:</strong> <a href="https://github.com/openjournals/joss-reviews/issues/957">https://github.com/openjournals/joss-reviews/issues/957</a></p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/verde">https://www.fatiando.org/verde</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/verde">https://github.com/fatiando/verde</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
<p><strong>Note:</strong> Authors are listed in alphabetical order by last name.</p>
https://doi.org/10.5281/zenodo.7907182
oai:zenodo.org:7907182
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.1478244
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
geospatial
earth sciences
python
Verde v1.8.0: Processing and gridding spatial data in Python
info:eu-repo/semantics/other
oai:zenodo.org:5882205
2023-03-21T11:02:15Z
openaire_data
user-fatiando
Uieda, Leonardo
2022-01-20
<p>Global 10 arc-minute resolution grids of geoid height with respect to the WGS84 ellipsoid.</p>
<p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p>
<p><strong>Changes made: </strong>Convert the grid from the ASCII format of ICGEM to CF-compliant netCDF. Add relevant metadata, including names, units, datum, etc. Fix grid coordinates to be generated by <code>numpy.linspace</code> instead <code>numpy.arange</code> (or the equivalent used by ICGEM internally) to guarantee equal spacing to a higher accuracy. Export to compressed netCDF.</p>
<p><strong>Source: </strong><a href="https://doi.org/10.5880/icgem.2015.1">EIGEN-6C4</a> spherical harmonic model (generated by the <a href="http://icgem.gfz-potsdam.de/home">ICGEM calculation service</a>)</p>
<p><strong>Source license: </strong><a href="https://doi.org/10.5880/icgem.2015.1">CC-BY</a></p>
<p><strong>Repository: </strong><a href="https://github.com/fatiando-data/earth-geoid-10arcmin">https://github.com/fatiando-data/earth-geoid-10arcmin</a></p>
https://doi.org/10.5281/zenodo.5882205
oai:zenodo.org:5882205
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.5882204
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Fatiando a Terra Data: Earth - Geoid height grid at 10 arc-minute resolution
info:eu-repo/semantics/other
oai:zenodo.org:3627166
2023-03-21T13:16:15Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago R.
Pesce, Agustina
2020-01-27
<p>RockHound is a Python library to download geophysical models and datasets (PREM, CRUST1.0, ETOPO1, Slab2, Age of Oceanic Lithosphere) and load them into Python data structures (pandas, numpy, xarray).</p>
<p>Many of these models use non-conventional file formats or can be tricky to find on the internet. RockHound knows how to download them if you don't already have them locally, read the file format, and return a nicely formatted data structure. Under the hood, it uses <a href="https://github.com/fatiando/pooch">Pooch</a> to manage the downloads.</p>
https://doi.org/10.5281/zenodo.3627166
oai:zenodo.org:3627166
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3086001
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Rockhound: Download geophysical models/datasets and load them in Python
info:eu-repo/semantics/other
oai:zenodo.org:3086002
2023-03-21T13:16:16Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago R.
2019-05-21
<p>RockHound is a Python library to download geophysical models and datasets (PREM, CRUST1.0, ETOPO1) and load them into Python data structures (pandas, numpy, xarray).</p>
<p>Many of these models use non-conventional file formats or can be tricky to find on the internet. RockHound knows how to download them if you don't already have them locally, read the file format, and return a nicely formatted data structure. Under the hood, it uses <a href="https://github.com/fatiando/pooch">Pooch</a> to manage the downloads.</p>
https://doi.org/10.5281/zenodo.3086002
oai:zenodo.org:3086002
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3086001
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Rockhound: Download geophysical models/datasets and load them in Python
info:eu-repo/semantics/other
oai:zenodo.org:7931023
2024-02-20T13:09:40Z
software
user-fatiando
Fatiando a Terra Project
Soler, Santiago R.
Uieda, Leonardo
2023-05-12
<p><strong>Choclo</strong> is a Python library that hosts optimized kernel functions for running geophysical forward and inverse models, intended to be used by other libraries as the underlying layer of their computation. "Choclo" is a term used in some countries of South America to refer to corn, originated from the <a href="https://en.wikipedia.org/wiki/Quechuan_languages">quechua</a> word <em>chuqllu</em>.</p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/choclo">https://www.fatiando.org/choclo</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/choclo">https://github.com/fatiando/choclo</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.7931023
oai:zenodo.org:7931023
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.7851747
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Choclo v0.1.0: Kernel functions for your geophysical models
info:eu-repo/semantics/other
oai:zenodo.org:5882203
2023-03-21T11:02:16Z
openaire_data
user-fatiando
Uieda, Leonardo
2022-01-20
<p>Global 10 arc-minute resolution grids of topography (ETOPO1 ice-surface) referenced to mean sea-level (which we will consider to be the geoid).</p>
<p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p>
<p><strong>Changes made: </strong>Convert the grid from the ASCII format of ICGEM to CF-compliant netCDF. Add relevant metadata, including names, units, datum, etc. Fix grid coordinates to be generated by <code>numpy.linspace</code> instead <code>numpy.arange</code> (or the equivalent used by ICGEM internally) to guarantee equal spacing to a higher accuracy. Export to compressed netCDF.</p>
<p><strong>Source: </strong><a href="https://doi.org/10.7289/V5C8276M">ETOPO1</a> (grid generated by the <a href="http://icgem.gfz-potsdam.de/home">ICGEM calculation service</a>)</p>
<p><strong>Source license: </strong><a href="https://ngdc.noaa.gov/mgg/global/dem_faq.html#sec-2.4">public domain</a></p>
<p><strong>Repository: </strong><a href="https://github.com/fatiando-data/earth-topography-10arcmin">https://github.com/fatiando-data/earth-topography-10arcmin</a></p>
https://doi.org/10.5281/zenodo.5882203
oai:zenodo.org:5882203
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.5882202
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Fatiando a Terra Data: Earth - Topography grid at 10 arc-minute resolution
info:eu-repo/semantics/other
oai:zenodo.org:5784203
2023-03-21T11:02:25Z
software
user-fatiando
Uieda, Leonardo
2021-12-23
<p><strong>Ensaio</strong> (Portuguese for "rehearsal") is a Python package for downloading open-access sample datasets for Geoscience. It taps into the curated collection in <a href="https://github.com/fatiando/data">github.com/fatiando/data</a> and uses <a href="https://www.fatiando.org/pooch/latest/">Pooch</a> to manage downloading and caching data.</p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/ensaio">https://www.fatiando.org/ensaio</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/ensaio">https://github.com/fatiando/ensaio</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.5784203
oai:zenodo.org:5784203
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.5784202
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
data
Ensaio v0.1.0: Practice datasets to probe your code
info:eu-repo/semantics/other
oai:zenodo.org:6390020
2023-03-21T11:02:24Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago Rubén
2022-03-28
<p><strong>Ensaio</strong> (Portuguese for "rehearsal") is a Python package for downloading open-access sample datasets for Geoscience. It taps into the curated collection in <a href="https://github.com/fatiando-data">github.com/fatiando-data</a> and uses <a href="https://www.fatiando.org/pooch/latest/">Pooch</a> to manage downloading and caching data.</p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/ensaio">https://www.fatiando.org/ensaio</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/ensaio">https://github.com/fatiando/ensaio</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.6390020
oai:zenodo.org:6390020
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.5784202
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
data
Ensaio v0.3.0: Practice datasets to probe your code
info:eu-repo/semantics/other
oai:zenodo.org:4022246
2023-03-21T11:02:28Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago Rubén
Rampin, Rémi
van Kemenade, Hugo
Shapero, Daniel
Banihirwe, Anderson
Turk, Matthew
Kowalik, Kacper
Hauser, Mathias
2020-09-10
<p><em>Does your Python package include sample datasets? Are you shipping them with the code? Are they getting too big?</em></p>
<p>Pooch is here to help! It will manage a data <em>registry</em> by downloading your data files from a server only when needed and storing them locally in a data <em>cache</em> (a folder on your computer).</p>
<p>Here are Pooch's main features:</p>
<ul>
<li>Pure Python and minimal dependencies.</li>
<li>Download a file only if necessary (it's not in the data cache or needs to be updated).</li>
<li>Verify download integrity through SHA256 hashes (also used to check if a file needs to be updated).</li>
<li>Designed to be extended: plug in custom download (FTP, scp, etc) and post-processing (unzip, decompress, rename) functions.</li>
<li>Includes utilities to unzip/decompress the data upon download to save loading time.</li>
<li>Can handle basic HTTP authentication (for servers that require a login) and printing download progress bars.</li>
<li>Easily set up an environment variable to overwrite the data cache location.</li>
</ul>
<p><em>Are you a scientist or researcher? Pooch can help you too!</em></p>
<ul>
<li>Automatically download your data files so you don't have to keep them in your GitHub repository.</li>
<li>Make sure everyone running the code has the same version of the data files (enforced through the SHA256 hashes).</li>
</ul>
<p><strong>Pooch v0.7.1 was reviewed at the Journal of Open Source Software:</strong> <a href="https://github.com/openjournals/joss-reviews/issues/1943">https://github.com/openjournals/joss-reviews/issues/1943</a></p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/pooch">https://www.fatiando.org/pooch</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/pooch">https://github.com/fatiando/pooch</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.4022246
oai:zenodo.org:4022246
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3515030
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Python
Pooch v1.2.0: A friend to fetch your data files
info:eu-repo/semantics/other
oai:zenodo.org:4293216
2023-03-21T11:02:28Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago Rubén
Rampin, Rémi
van Kemenade, Hugo
Shapero, Daniel
Banihirwe, Anderson
Turk, Matthew
Kowalik, Kacper
Hauser, Mathias
Gregor, Luke
Horta, Danilo
2020-11-27
<p><em>Does your Python package include sample datasets? Are you shipping them with the code? Are they getting too big?</em></p>
<p>Pooch is here to help! It will manage a data <em>registry</em> by downloading your data files from a server only when needed and storing them locally in a data <em>cache</em> (a folder on your computer).</p>
<p>Here are Pooch's main features:</p>
<ul>
<li>Pure Python and minimal dependencies.</li>
<li>Download a file only if necessary (it's not in the data cache or needs to be updated).</li>
<li>Verify download integrity through SHA256 hashes (also used to check if a file needs to be updated).</li>
<li>Designed to be extended: plug in custom download (FTP, scp, etc) and post-processing (unzip, decompress, rename) functions.</li>
<li>Includes utilities to unzip/decompress the data upon download to save loading time.</li>
<li>Can handle basic HTTP authentication (for servers that require a login) and printing download progress bars.</li>
<li>Easily set up an environment variable to overwrite the data cache location.</li>
</ul>
<p><em>Are you a scientist or researcher? Pooch can help you too!</em></p>
<ul>
<li>Automatically download your data files so you don't have to keep them in your GitHub repository.</li>
<li>Make sure everyone running the code has the same version of the data files (enforced through the SHA256 hashes).</li>
</ul>
<p><strong>Pooch v0.7.1 was reviewed at the Journal of Open Source Software:</strong> <a href="https://github.com/openjournals/joss-reviews/issues/1943">https://github.com/openjournals/joss-reviews/issues/1943</a></p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/pooch">https://www.fatiando.org/pooch</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/pooch">https://github.com/fatiando/pooch</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.4293216
oai:zenodo.org:4293216
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3515030
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Python
Pooch v1.3.0: A friend to fetch your data files
info:eu-repo/semantics/other
oai:zenodo.org:3547640
2023-03-21T11:02:31Z
software
user-fatiando
Uieda, Leonardo
Rampin, Rémi
van Kemenade, Hugo
Banihirwe, Anderson
2019-11-19
<p><em>Does your Python package include sample datasets? Are you shipping them with the code? Are they getting too big?</em></p>
<p>Pooch is here to help! It will manage a data <em>registry</em> by downloading your data files from a server only when needed and storing them locally in a data <em>cache</em> (a folder on your computer).</p>
<p>Here are Pooch's main features:</p>
<ul>
<li>Pure Python and minimal dependencies.</li>
<li>Download a file only if necessary (it's not in the data cache or needs to be updated).</li>
<li>Verify download integrity through SHA256 hashes (also used to check if a file needs to be updated).</li>
<li>Designed to be extended: plug in custom download (FTP, scp, etc) and post-processing (unzip, decompress, rename) functions.</li>
<li>Includes utilities to unzip/decompress the data upon download to save loading time.</li>
<li>Can handle basic HTTP authentication (for servers that require a login) and printing download progress bars.</li>
<li>Easily set up an environment variable to overwrite the data cache location.</li>
</ul>
<p><em>Are you a scientist or researcher? Pooch can help you too!</em></p>
<ul>
<li>Automatically download your data files so you don't have to keep them in your GitHub repository.</li>
<li>Make sure everyone running the code has the same version of the data files (enforced through the SHA256 hashes).</li>
</ul>
https://doi.org/10.5281/zenodo.3547640
oai:zenodo.org:3547640
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3515030
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Python
Pooch: A friend to fetch your sample data files
info:eu-repo/semantics/other
oai:zenodo.org:3515031
2023-03-21T11:02:31Z
software
user-fatiando
Uieda, Leonardo
Shapero, Daniel
2019-10-22
<p>Pooch will manage downloading your sample data files over HTTP from a server and storing them in a local directory:</p>
<ul>
<li>Download a file only if it's not in the local storage.</li>
<li>Check the SHA256 hash to make sure the file is not corrupted or needs updating.</li>
<li>If the hash is different from the registry, Pooch will download a new version of the file.</li>
<li>If the hash still doesn't match, Pooch will raise an exception warning of possible data corruption.</li>
</ul>
https://doi.org/10.5281/zenodo.3515031
oai:zenodo.org:3515031
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3515030
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Python
Pooch: A friend to fetch your sample data files
info:eu-repo/semantics/other
oai:zenodo.org:3629329
2023-03-21T11:02:30Z
software
user-fatiando
Shapero, Daniel
Uieda, Leonardo
2020-01-28
<p><em>Does your Python package include sample datasets? Are you shipping them with the code? Are they getting too big?</em></p>
<p>Pooch is here to help! It will manage a data <em>registry</em> by downloading your data files from a server only when needed and storing them locally in a data <em>cache</em> (a folder on your computer).</p>
<p>Here are Pooch's main features:</p>
<ul>
<li>Pure Python and minimal dependencies.</li>
<li>Download a file only if necessary (it's not in the data cache or needs to be updated).</li>
<li>Verify download integrity through SHA256 hashes (also used to check if a file needs to be updated).</li>
<li>Designed to be extended: plug in custom download (FTP, scp, etc) and post-processing (unzip, decompress, rename) functions.</li>
<li>Includes utilities to unzip/decompress the data upon download to save loading time.</li>
<li>Can handle basic HTTP authentication (for servers that require a login) and printing download progress bars.</li>
<li>Easily set up an environment variable to overwrite the data cache location.</li>
</ul>
<p><em>Are you a scientist or researcher? Pooch can help you too!</em></p>
<ul>
<li>Automatically download your data files so you don't have to keep them in your GitHub repository.</li>
<li>Make sure everyone running the code has the same version of the data files (enforced through the SHA256 hashes).</li>
</ul>
<p><strong>Pooch v0.7.1 was reviewed at the Journal of Open Source Software:</strong> <a href="https://github.com/openjournals/joss-reviews/issues/1943">https://github.com/openjournals/joss-reviews/issues/1943</a></p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/pooch">https://www.fatiando.org/pooch</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/pooch">https://github.com/fatiando/pooch</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.3629329
oai:zenodo.org:3629329
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3515030
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Python
Pooch v1.0.0: A friend to fetch your data files
info:eu-repo/semantics/other
oai:zenodo.org:5242882
2023-03-21T11:02:27Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago Rubén
Rampin, Rémi
van Kemenade, Hugo
Shapero, Daniel
Banihirwe, Anderson
Turk, Matthew
Kowalik, Kacper
Hauser, Mathias
Gregor, Luke
Horta, Danilo
McCloy, Daniel
Robert, Clément
Leeman, John
Harfouche, Mark
Valentino, Antonio
2021-08-24
<p><em>Does your Python package include sample datasets? Are you shipping them with the code? Are they getting too big?</em></p>
<p>Pooch is here to help! It will manage a data <em>registry</em> by downloading your data files from a server only when needed and storing them locally in a data <em>cache</em> (a folder on your computer).</p>
<p>Here are Pooch's main features:</p>
<ul>
<li>Pure Python and minimal dependencies.</li>
<li>Download a file only if necessary (it's not in the data cache or needs to be updated).</li>
<li>Verify download integrity through SHA256 hashes (also used to check if a file needs to be updated).</li>
<li>Designed to be extended: plug in custom download (FTP, scp, etc) and post-processing (unzip, decompress, rename) functions.</li>
<li>Includes utilities to unzip/decompress the data upon download to save loading time.</li>
<li>Can handle basic HTTP authentication (for servers that require a login) and printing download progress bars.</li>
<li>Easily set up an environment variable to overwrite the data cache location.</li>
</ul>
<p><em>Are you a scientist or researcher? Pooch can help you too!</em></p>
<ul>
<li>Automatically download your data files so you don't have to keep them in your GitHub repository.</li>
<li>Make sure everyone running the code has the same version of the data files (enforced through the SHA256 hashes).</li>
</ul>
<p><strong>Pooch v0.7.1 was reviewed at the Journal of Open Source Software:</strong> <a href="https://github.com/openjournals/joss-reviews/issues/1943">https://github.com/openjournals/joss-reviews/issues/1943</a></p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/pooch">https://www.fatiando.org/pooch</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/pooch">https://github.com/fatiando/pooch</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.5242882
oai:zenodo.org:5242882
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3515030
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Python
Pooch v1.5.1: A friend to fetch your data files
info:eu-repo/semantics/other
oai:zenodo.org:1415281
2023-03-21T11:02:08Z
software
user-fatiando
Uieda, Leonardo
Hoese, David
2018-09-13
<p>Verde is a Python library for processing spatial data (bathymetry, geophysics surveys, etc) and interpolating it on regular grids (i.e., <em>gridding</em>).</p>
<p>Most gridding methods in Verde use a Green's functions approach. A linear model is estimated based on the input data and then used to predict data on a regular grid (or in a scatter, a profile, as derivatives). The models are Green's functions from (mostly) elastic deformation theory. This approach is very similar to <em>machine learning</em> so we implement gridder classes that are similar to <a href="http://scikit-learn.org/">scikit-learn</a> regression classes. The API is not 100% compatible but it should look familiar to those with some scikit-learn experience.</p>
<p>Advantages of using Green's functions include:</p>
<ul>
<li>Easily apply <strong>weights</strong> to data points. This is a linear least-squares problem.</li>
<li>Perform <strong>model selection</strong> using established machine learning techniques, like k-fold or holdout cross-validation.</li>
<li>The estimated model can be <strong>easily stored</strong> for later use, like spherical-harmonic coefficients are used in gravimetry.</li>
</ul>
<p>The main disadvantage is the heavy memory and processing time requirement (it's a linear regression problem). So it's not recommended for gridding large datasets (> 10,000 points), though it will depend on how much RAM you have available.</p>
https://doi.org/10.5281/zenodo.1415281
oai:zenodo.org:1415281
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.1415280
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
geospatial
gridding
python
scipy
earth-science
Verde v1.0.0: Processing and gridding spatial data using Green's functions
info:eu-repo/semantics/other
oai:zenodo.org:6139057
2023-03-21T11:02:16Z
openaire_data
user-fatiando
Uieda, Leonardo
2022-02-18
<p>This is a topography point cloud of the 2018 lava flows of the Sierra Negra volcano, located on the Galápagos islands, Ecuador. The data are generated using structure from motion (SFM) and shows nice topographic features and different roughness of the lava flows. Good to show examples of calculating slope and other terrain properties from the point cloud or gridded data.</p>
<p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p>
<p><strong>Changes made: </strong>Data were cropped to smaller region to align with previously published studies of the data and make file sizes under 10 Mb. Coordinates converted from UTM to WGS84 geographic. Export to a compressed CSV for easier loading with Pandas.</p>
<p><strong>Source: </strong>Carr, B. (2020). Sierra Negra Volcano (TIR Flight 3): Galápagos, Ecuador, October 22 2018. Distributed by OpenTopography. <a href="https://doi.org/10.5069/G957196P">https://doi.org/10.5069/G957196P</a></p>
<p><strong>Additional reference:</strong> Carr, B. B., Lev, E., Sawi, T., Bennett, K. A., Edwards, C. S., Soule, S. A., et al. (2021). Mapping and classification of volcanic deposits using multi-sensor unoccupied aerial systems. Remote Sensing of Environment. <a href="https://doi.org/10.1016/j.rse.2021.112581">https://doi.org/10.1016/j.rse.2021.112581</a></p>
<p><strong>Source license: </strong><a href="https://doi.org/10.5069/G957196P">CC-BY</a></p>
<p><strong>Repository: </strong><a href="https://github.com/fatiando-data/sierra-negra-topography">https://github.com/fatiando-data/sierra-negra-topography</a></p>
https://doi.org/10.5281/zenodo.6139057
oai:zenodo.org:6139057
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.6139056
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Fatiando a Terra Data: Sierra Negra volcano, Ecuador - Topography
info:eu-repo/semantics/other
oai:zenodo.org:5879163
2023-03-21T11:02:12Z
openaire_data
user-fatiando
Uieda, Leonardo
2022-01-19
<p>This is a compilation of 3D GPS velocities for the Alps. The horizontal velocities are reference to the Eurasian frame. All velocity components and even the position have error estimates, which is very useful and rare to find in a lot of datasets.</p>
<p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's mean for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p>
<p><strong>Changes made:</strong> Combined the data from 3 different files, keeping the 3-component velocities in the Eurasion frame, coordinates, uncertainties, and station ID; exported to a compressed CSV file.</p>
<p><strong>Source:</strong> Sánchez, Laura; Völksen, Christof; Sokolov, Alexandr; Arenz, Herbert; Seitz, Florian (2018): Present-day surface deformation of the Alpine Region inferred from geodetic techniques (data). PANGAEA, <a href="https://doi.org/10.1594/PANGAEA.886889">https://doi.org/10.1594/PANGAEA.886889</a></p>
<p><strong>Source license:</strong> <a href="https://doi.org/10.1594/PANGAEA.886889">CC-BY-3.0</a></p>
<p><strong>Repository:</strong> <a href="https://github.com/fatiando-data/alps-gps-velocity">https://github.com/fatiando-data/alps-gps-velocity</a></p>
https://doi.org/10.5281/zenodo.5879163
oai:zenodo.org:5879163
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.5879162
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
geophysics
earth-science
data
Fatiando a Terra Data: Alps - 3D GPS velocities
info:eu-repo/semantics/other
oai:zenodo.org:49087
2023-03-21T11:02:06Z
software
user-fatiando
Uieda, Leonardo
Oliveira Jr., Vanderlei C
Ferreira, André
Santos, Henrique Bueno
Caparica Jr., José F
Markall, Graham
Bentley, Martin
Almeida, Victor
2016-04-05
<p>Fatiando a Terra (Portuguese for Slicing the Earth) is an open-source Python toolkit for modeling and inversion in geophysics. It provides an easy and flexible way to perform and implement geophysical data analysis.</p>
<p>Official website and documentation: http://www.fatiando.org</p>
<p>DOI for this release: http://dx.doi.org/10.5281/zenodo.49087</p>
<p>Main changes to version 0.4 (see http://www.fatiando.org/changelog.html#version-0-4 for a complete list):</p>
<p>* **New** module to obtain a synthetic convolutional seismogram in<br>
`fatiando.seismic.conv`. It can be given a depth model that will be<br>
converted to a time model before generating the synthetic seismogram.<br>
* **Refactor** `fatiando.inversion`. Completely redesigned classes make<br>
implementing new inversions simpler. Subclassing `Misfit` is simpler, with<br>
fewer parameters necessary. The usage of existing inversions has changed<br>
little. A **new dependency** `future` was added to ease the transition to<br>
support Python 3.<br>
* **BUG FIX**: Tesseroid computations failed (silently) when tesseroids were<br>
smaller than 1e-6 degrees on a side (~ 10 cm). Code now ignores these<br>
tesseroids on input and warns the user about it. If a tesseroid becomes<br>
smaller than this during adaptive discretization, the tesseroid effect will<br>
be computed without division. The user will be warned when this happens.<br>
* **New** reduction to the pole and upward continuation with FFT in<br>
`fatiando.gravmag.transform`. The pole reduction allows both remanent and<br>
induced magnetization. Upward continuation is more stable and faster than the<br>
old space domain approach that was implemented.<br>
* **IMPORTANT BUG FIX**: Fixed wrong ordering of nodes in<br>
`fatiando.mesher.PointGrid`. The order of nodes had the same problem as the<br>
regular grids. This was not caught<br>
before because `PointGrid` didn't use `gridder.regular` to generate its<br>
internal regular grid. This is an example of why reuse is a good thing! Tests<br>
now should catch any future problems.<br>
* **IMPORTANT BUG FIX**: `fatiando.gridder.regular` and many other places in<br>
Fatiando where using the wrong convention for x, y dimensions.<br>
x should point North and y East. Thus, a data matrix (regular grid) should<br>
have x varying in the lines and y varying in the columns. This is **oposite**<br>
what we had. This fix also changes the `shape` argument to be `(nx, ny)`<br>
instead of `(ny, nx)`. **Users should be aware of this and double check<br>
their code.**<br>
* More stable derivatives in `fatiando.gravamag.transform`. The horizontal<br>
derivatives default to central finite-differences for greater stability. The<br>
FFT based derivatives use a grid padding to avoid edge effects.<br>
Thanks to [Matteo Niccoli](https://mycarta.wordpress.com/) for suggesting<br>
this fix.<br>
* **Renamed** `fatiando.gravmag.fourier.ansig` to<br>
`fatiando.gravmag.transform.tga`<br>
* **Remove** `fatiando.gravmag.fourier` by moving relevant functions into<br>
`fatiando.gravmag.transform`.<br>
* **New** `seismic_wiggle` and `seismic_image` plotting functions for<br>
seismic data in `fatiando.vis.mpl`<br>
* **Remove** OpenMP parallelism from the `fatiando.gravmag` Cython coded<br>
forward modeling. Caused the majority of our install problems and didn't<br>
offer a great speed up anyway (< 2x). Can be replaced by `multiprocessing`<br>
parallelism without the install problems<br>
* Tesseroid forward modeling functions in `fatiando.gravmag.tesseroid` take<br>
an optional `pool` argument. Use it to pass an open<br>
`multiprocessing.Pool` for the function to use. Useful to avoid processes<br>
spawning overhead when calling the forward modeling many times<br>
* **BUG FIX**: Avoid weird numba error when tesseroid has zero volume. Let to<br>
better sanitizing the input model. Tesseroids with dimensions < 1cm are<br>
ignored because they have almost zero gravitational effect<br>
* Ported the tesseroid forward modeling code from Cython to numba. This is<br>
following the discussion on issue<br>
[#169](https://github.com/fatiando/fatiando/issues/169) to make installing<br>
less of burden by removing the compilation step. The numba code runs just as<br>
fast. New functions support multiprocessing parallelism.<br>
Thanks to new contributor Graham Markall for help with numba.<br>
* **BUG FIX**: Replace `matplotlib.mlab.griddata` with<br>
`scipy.interpolate.griddata` in `fatiando.gridder.interp` to avoid<br>
incompatibilities when using `matplotlib > 1.3`<br>
(at least in MacOS). Nearest neighbor interpolation method flagged as `nn`<br>
was removed. Now it becomes only `nearest`. Also replace `matplotlib`<br>
with `scipy` in `fatiando.mesher.PrismMesh.carvetopo`<br>
* **New class** `fatiando.gravmag.basin2d.PolygonalBasinGravity` for 2D<br>
gravity inversion for the relief of a basin.<br>
* **Removed** package `fatiando.gui`. This was an experimental and temporary<br>
package to explore interactivity.<br>
* Moved `Moulder` to the **new module** `fatiando.gravmag.interactive`.<br>
Completely rewrote the application. It now allows editing, moving, and<br>
deleting polygons, persisting the application to a pickle file and reloading,<br>
etc.</p>
<p> </p>
https://doi.org/10.5281/zenodo.49087
oai:zenodo.org:49087
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
modeling
gravity
magnetic
seismic
seismology
inverse problems
inversion
Fatiando a Terra v0.4: Modeling and inversion in geophysics
info:eu-repo/semantics/other
oai:zenodo.org:4626786
2023-05-09T06:30:07Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago R.
Pisel, Jesse
Hoese, David
Heagy, Lindsey
2021-03-22
<p>Verde is a Python library for processing spatial data (bathymetry, geophysics surveys, etc) and interpolating it on regular grids (i.e., <em>gridding</em>) with a hint of machine learning.</p>
<p><strong>Verde v1.0.0 was reviewed at the Journal of Open Source Software:</strong> <a href="https://github.com/openjournals/joss-reviews/issues/957">https://github.com/openjournals/joss-reviews/issues/957</a></p>
<p><strong>Documentation:</strong> https://www.fatiando.org/verde</p>
<p><strong>Source code:</strong> https://github.com/fatiando/verde</p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.4626786
oai:zenodo.org:4626786
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.1478244
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
geospatial
earth sciences
python
Verde v1.6.1: Processing and gridding spatial data in Python
info:eu-repo/semantics/other
oai:zenodo.org:4672400
2023-05-08T10:04:36Z
software
user-fatiando
Soler, Santiago R.
Uieda, Leonardo
Oliveira Jr, Vanderlei C
Shea, Nicholas
Pesce, Agustina
2021-04-09
<p>Harmonica is a Python library for processing and modeling gravity and magnetic data. It includes common processing steps, like calculation of Bouguer and terrain corrections, reduction to the pole, upward continuation, equivalent layers, and more. There are forward modeling functions for basic geometric shapes, like spheres, prisms, polygonal prisms, and tesseroids. The inversion methods are implemented as classes with an interface inspired by scikit-learn (like <a href="https://www.fatiando.org/verde">Verde</a>).</p>
https://doi.org/10.5281/zenodo.4672400
oai:zenodo.org:4672400
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3628741
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Harmonica: Forward modeling, inversion, and processing gravity and magnetic data
info:eu-repo/semantics/other
oai:zenodo.org:5575827
2023-03-21T11:02:22Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago Rubén
Dinneen, Chris
Gomez, Mariana
Li, Lu
2021-10-18
<p><em>Boule</em> is Python library for representing <a href="https://en.wikipedia.org/wiki/Reference_ellipsoid">Reference Ellipsoids</a> and calculating their gravity fields.</p>
<p>The main use cases are:</p>
<ul>
<li>Calculating normal gravity (for gravity anomalies and disturbances).</li>
<li>Spherical gravity modelling, which requires geodetic to geocentric spherical coordinate conversions.</li>
<li>Input ellipsoid parameters for spherical harmonic analysis.</li>
</ul>
<p>Boule is French for "ball" and also a <a href="https://en.wikipedia.org/wiki/Boule_(bread)">traditional shape of bread resembling a squashed ball</a> (much like the Earth).</p>
https://doi.org/10.5281/zenodo.5575827
oai:zenodo.org:5575827
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3530749
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
geodesy
python
gravity
Boule v0.3.0: Reference ellipsoids for geodesy and geophysics
info:eu-repo/semantics/other
oai:zenodo.org:6987201
2023-05-08T10:04:37Z
software
user-fatiando
Fatiando a Terra Project
Esteban, Federico D.
Li, Lu
Oliveira Jr, Vanderlei C
Pesce, Agustina
Shea, Nicholas
Soler, Santiago R.
Tankersley, Matthew
Uieda, Leonardo
2022-08-12
<p>Harmonica is a Python library for processing and modeling gravity and magnetic data. It includes common processing steps, like calculation of Bouguer and terrain corrections, reduction to the pole, upward continuation, equivalent layers, and more. There are forward modeling functions for basic geometric shapes, like spheres, prisms, polygonal prisms, and tesseroids. The inversion methods are implemented as classes with an interface inspired by scikit-learn (like <a href="https://www.fatiando.org/verde">Verde</a>).</p>
https://doi.org/10.5281/zenodo.6987201
oai:zenodo.org:6987201
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3628741
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Harmonica: Forward modeling, inversion, and processing gravity and magnetic data
info:eu-repo/semantics/other
oai:zenodo.org:6779998
2023-03-21T11:02:21Z
software
user-fatiando
Fatiando a Terra Project
Dinneen, Chris
Gomez, Mariana
Li, Lu
Pesce, Agustina
Soler, Santiago Rubén
Uieda, Leonardo
2022-08-09
<p><strong>Boule</strong> is Python library for representing <a href="https://en.wikipedia.org/wiki/Reference_ellipsoid">reference ellipsoids</a> and calculating their gravity fields.</p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/boule">https://www.fatiando.org/boule</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/boule">https://github.com/fatiando/boule</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
<p><strong>Note:</strong> Authors are listed in alphabetical order by last name.</p>
https://doi.org/10.5281/zenodo.6779998
oai:zenodo.org:6779998
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3530749
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
geodesy
python
gravity
Boule v0.4.0: Reference ellipsoids for geodesy and geophysics
info:eu-repo/semantics/other
oai:zenodo.org:5585665
2023-05-08T10:04:37Z
software
user-fatiando
Soler, Santiago R.
Uieda, Leonardo
Oliveira Jr, Vanderlei C
Shea, Nicholas
Pesce, Agustina
2021-10-20
<p>Harmonica is a Python library for processing and modeling gravity and magnetic data. It includes common processing steps, like calculation of Bouguer and terrain corrections, reduction to the pole, upward continuation, equivalent layers, and more. There are forward modeling functions for basic geometric shapes, like spheres, prisms, polygonal prisms, and tesseroids. The inversion methods are implemented as classes with an interface inspired by scikit-learn (like <a href="https://www.fatiando.org/verde">Verde</a>).</p>
https://doi.org/10.5281/zenodo.5585665
oai:zenodo.org:5585665
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3628741
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Harmonica: Forward modeling, inversion, and processing gravity and magnetic data
info:eu-repo/semantics/other
oai:zenodo.org:5167357
2023-03-21T11:02:11Z
openaire_data
user-fatiando
Uieda, Leonardo
2021-11-24
<p>This repository holds curated sample datasets that can be used in the documentation and tutorials of the <a href="https://www.fatiando.org/">Fatiando a Terra</a> project. All datasets are cleaned and formatted versions of openly available data under permissive licenses or in the public domain.</p>
<p>More information about datasets and the code for cleaning, formatting, and preprocessing the data can be found at: <a href="https://github.com/fatiando/data">https://github.com/fatiando/data</a></p>
<p>See the README.md file for information on data sources and their original licenses.</p>
<p><strong>NOTE:</strong> This collection uses <a href="https://semver.org/">semantic versioning</a> (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 release that makes the data unusable. Changes to the current data files will always be published as a major release unless the file(s) in the previous release was unusable/corrupted.</p>
https://doi.org/10.5281/zenodo.5167357
oai:zenodo.org:5167357
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.5167356
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
geophysics
data
open-data
earth-science
Fatiando a Terra data v1.0.0: A curated collection of open geophysics data for tutorials and documentation
info:eu-repo/semantics/other
oai:zenodo.org:10631903
2024-02-07T18:19:39Z
openaire_data
user-fatiando
Uieda, Leonardo
2024-02-07
<p>This dataset is a compilation of several single-beam bathymetry surveys of the Caribbean ocean displaying a wide range of tectonic activity, uneven distribution, and even clear systematic errors in some of the survey lines.</p>
<p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p>
<p><strong>Changes made: </strong>Convert from MGD77 to a simpler compressed CSV format. Retain only the survey ID, coordinates, and depth. Cut the data to a smaller region. Remove some problematic and very large surveys.</p>
<p><strong>Source: </strong><a href="https://ngdc.noaa.gov/mgg/geodas/trackline.html">NOAA NCEI</a></p>
<p><strong>Source license: </strong><a href="https://ngdc.noaa.gov/ngdcinfo/privacy.html">public domain</a></p>
<p><strong>Repository:</strong> <a href="https://github.com/fatiando-data/caribbean-bathymetry">https://github.com/fatiando-data/caribbean-bathymetry</a></p>
https://doi.org/10.5281/zenodo.10631903
oai:zenodo.org:10631903
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.5882210
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Fatiando a Terra Data: Caribbean - Single-beam bathymetry
info:eu-repo/semantics/other
oai:zenodo.org:5882211
2023-03-21T11:02:13Z
openaire_data
user-fatiando
Uieda, Leonardo
2022-01-20
<p>This dataset is a compilation of several single-beam bathymetry surveys of the Caribbean ocean displaying a wide range of tectonic activity, uneven distribution, and even clear systematic errors in some of the survey lines.</p>
<p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p>
<p><strong>Changes made: </strong>Convert from MGD77 to a simpler compressed CSV format. Retain only the survey ID, coordinates, and depth. Cut the data to a slightly smaller region.</p>
<p><strong>Source: </strong><a href="https://ngdc.noaa.gov/mgg/geodas/trackline.html">NOAA NCEI</a></p>
<p><strong>Source license: </strong><a href="https://ngdc.noaa.gov/ngdcinfo/privacy.html">public domain</a></p>
<p><strong>Repository:</strong> <a href="https://github.com/fatiando-data/caribbean-bathymetry">https://github.com/fatiando-data/caribbean-bathymetry</a></p>
https://doi.org/10.5281/zenodo.5882211
oai:zenodo.org:5882211
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.5882210
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Fatiando a Terra Data: Caribbean - Single-beam bathymetry
info:eu-repo/semantics/other
oai:zenodo.org:5882209
2023-03-21T11:02:14Z
openaire_data
user-fatiando
Uieda, Leonardo
2022-01-20
<p>This is a section of a survey acquired in 1990 by the Queensland Government, Australia. The data are good quality with approximately 80 m terrain clearance and 200 m line spacing. The anomalies are very visible and present interesting processing and modelling challenges, as well as plenty of literature about their geology.</p>
<p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p>
<p><strong>Changes made: </strong>Change the horizontal datum from GDA94 to WGS84. Convert terrain clearance to flight height using an SRTM grid. Keep only the coordinates, AWAGS leveled magnetic anomaly, and flight line ID. Cut to a smaller region containing only the 2 anomalies of interest.</p>
<p><strong>Source: </strong>Geophysical Acquisition & Processing Section 2019. MIM Data from Mt Isa Inlier, QLD (P1029), magnetic line data, AWAGS levelled. Geoscience Australia, Canberra. <a href="http://pid.geoscience.gov.au/dataset/ga/142419">http://pid.geoscience.gov.au/dataset/ga/142419</a></p>
<p><strong>Source license: </strong><a href="http://pid.geoscience.gov.au/dataset/ga/142419">CC-BY</a></p>
<p><strong>Repository: </strong><a href="https://github.com/fatiando-data/osborne-magnetic">https://github.com/fatiando-data/osborne-magnetic</a></p>
https://doi.org/10.5281/zenodo.5882209
oai:zenodo.org:5882209
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.5882208
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Fatiando a Terra Data: Osborne Mine, Australia - Airborne total-field magnetic anomaly
info:eu-repo/semantics/other
oai:zenodo.org:5879260
2023-03-21T11:02:13Z
openaire_data
user-fatiando
Uieda, Leonardo
2022-01-19
<p>This is a digitized version of an airborne magnetic survey of Britain. Data are sampled where flight lines crossed contours on the archive maps. Contains only the total field magnetic anomaly, not the magnetic field intensity measurements or corrections.</p>
<p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's mean for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p>
<p><strong>Changes made: </strong>Datum was changed to WGS8; Year was separated from the survey name; Some fields were dropped; Exported to compressed CSV format.</p>
<p><strong>Source: </strong><a href="https://www.bgs.ac.uk/datasets/gb-aeromagnetic-survey/">British Geological Survey</a></p>
<p><strong>Source license: </strong><a href="https://www.bgs.ac.uk/bgs-intellectual-property-rights/open-government-licence/">Open Government Licence</a></p>
<p><strong>Repository:</strong> <a href="https://github.com/fatiando-data/britain-magnetic">https://github.com/fatiando-data/britain-magnetic</a></p>
<p>Contains British Geological Survey materials © UKRI 2021.</p>
https://doi.org/10.5281/zenodo.5879260
oai:zenodo.org:5879260
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.5879259
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Fatiando a Terra Data: Britain - Airborne total-field magnetic anomaly
info:eu-repo/semantics/other
oai:zenodo.org:6511942
2022-05-03T11:41:02Z
openaire_data
user-fatiando
Soler, Santiago R.
Uieda, Leonardo
2022-05-02
<p>This dataset contains ground gravity observations over the area that comprises the Bushveld Igenous Complex in Southern Africa, including preprocessed gravity fields such as the <em>gravity disturbance</em> and the <em>bouguer gravity disturbance</em> (topography-free gravity disturbance). In addition, the dataset contains the heights of the observation points referenced on the WGS84 reference ellipsoid and over the mean sea-level (what can be considered to be the geoid). This dataset was built upon a portion of the Southern Africa gravity compilation available through <a href="https://www.ngdc.noaa.gov/mgg/gravity/">NOAA NCEI</a>.<br>
<br>
<strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.<br>
<br>
<strong>Changes made: </strong></p>
<ul>
<li>The original data were cropped to a region bounded by 25 and 32 degrees on longitude and -27 and -23 degrees on latitude.</li>
<li>Geometric observation heights were obtained by adding geoid heights to the original observation heights referenced on the mean sea-level. The geoid heights on each observation point were obtained by interpolation of the geoid available in doi: <a href="https://doi.org/10.5281/zenodo.5882205">10.5281/zenodo.5882205</a>.</li>
<li>Gravity disturbances were computed by removing the normal gravity of the WGS84 ellipsoid computed through <a href="https://www.fatiando.org/boule">Boule</a>.</li>
<li>Bouguer gravity disturbances were computed by forward modelling the topography using <a href="https://www.fatiando.org/harmonica">Harmonica</a> starting from the topography grid provided in doi: <a href="https://doi.org/10.5281/zenodo.6481379">10.5281/zenodo.6481379</a> and using densities of 2670 kg/m³ above the ellipsoid and 1040 - 2670 kg/m³ below the ellipsoid.</li>
</ul>
<p><strong>Source: </strong><a href="https://www.ngdc.noaa.gov/mgg/gravity/">NOAA NCEI</a> (gravity) and <a href="https://doi.org/10.7289/V5C8276M">ETOPO1</a> (topography)</p>
<p><strong>Source license: </strong><a href="https://ngdc.noaa.gov/ngdcinfo/privacy.html">public domain</a> (gravity) and <a href="https://ngdc.noaa.gov/mgg/global/dem_faq.html#sec-2.4">public domain</a> (topography)</p>
<p><strong>Repository</strong>: <a href="https://github.com/fatiando-data/bushveld-gravity">https://github.com/fatiando-data/bushveld-gravity</a></p>
https://doi.org/10.5281/zenodo.6511942
oai:zenodo.org:6511942
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.6511941
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Fatiando a Terra Data: Bushveld, Southern Africa - Observed and preprocessed gravity
info:eu-repo/semantics/other
oai:zenodo.org:5882430
2023-03-21T11:02:14Z
openaire_data
user-fatiando
Uieda, Leonardo
2022-01-20
<p>This is a public domain compilation of ground measurements of gravity from Southern Africa. The observations are the absolute gravity values in mGal. The horizontal datum is not specified and heights are referenced to "sea level", which we will interpret as the geoid (which realization is likely not relevant since the uncertainty in the height is probably larger than geoid model differences).</p>
<p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p>
<p><strong>Changes made: </strong>Keep only coordinates, absolute gravity, and the (sea-level) observation height. Remove some points below sea-level (a bit suspicious and are potentially flawed heights from shipborne measurements). Convert from a custom text format to compressed CSV.</p>
<p><strong>Source: </strong><a href="https://www.ngdc.noaa.gov/mgg/gravity/">NOAA NCEI</a></p>
<p><strong>Source license: </strong><a href="https://ngdc.noaa.gov/ngdcinfo/privacy.html">public domain</a></p>
<p><strong>Repository:</strong> <a href="https://github.com/fatiando-data/southern-africa-gravity">https://github.com/fatiando-data/southern-africa-gravity </a></p>
https://doi.org/10.5281/zenodo.5882430
oai:zenodo.org:5882430
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.5882429
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Fatiando a Terra Data: Southern Africa - Ground-based gravity
info:eu-repo/semantics/other
oai:zenodo.org:5881887
2023-03-21T11:02:13Z
openaire_data
user-fatiando
Uieda, Leonardo
2022-01-20
<p>This is a point cloud sliced to the small <a href="https://apps.gov.bc.ca/pub/bcgnws/names/21973.html">Trail Islands</a> to the North of Vancouver to reduce the data size. The islands have some nice looking topography and their isolated nature creates problems for some interpolation methods, like simple nearest neighbours.</p>
<p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p>
<p><strong>Changes made: </strong>Cut out a section of the original data to focus only on these small islands; Change UTM coordinates to geodetic latitude and longitude (WGS84); Keep only the ground reflection picks; Export to a compressed CSV for easier loading with Pandas.</p>
<p><strong>Source: </strong><a href="https://www2.gov.bc.ca/gov/content/data/geographic-data-services/lidarbc">LidarBC</a></p>
<p><strong>Source license: </strong><a href="https://www2.gov.bc.ca/gov/content/data/open-data/open-government-licence-bc">Open Government Licence - British Columbia</a></p>
<p><strong>Repository:</strong> <a href="https://github.com/fatiando-data/british-columbia-lidar">https://github.com/fatiando-data/british-columbia-lidar</a></p>
https://doi.org/10.5281/zenodo.5881887
oai:zenodo.org:5881887
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.5881886
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Fatiando a Terra Data: British Columbia, Canada - Lidar point cloud
info:eu-repo/semantics/other
oai:zenodo.org:4617252
2023-05-09T06:30:07Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago R.
Pisel, Jesse
Hoese, David
Heagy, Lindsey
2021-03-18
<p>Verde is a Python library for processing spatial data (bathymetry, geophysics surveys, etc) and interpolating it on regular grids (i.e., <em>gridding</em>) with a hint of machine learning.</p>
<p><strong>Verde v1.0.0 was reviewed at the Journal of Open Source Software:</strong> <a href="https://github.com/openjournals/joss-reviews/issues/957">https://github.com/openjournals/joss-reviews/issues/957</a></p>
<p><strong>Documentation:</strong> https://www.fatiando.org/verde</p>
<p><strong>Source code:</strong> https://github.com/fatiando/verde</p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.4617252
oai:zenodo.org:4617252
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.1478244
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
geospatial
earth sciences
python
Verde v1.6.0: Processing and gridding spatial data in Python
info:eu-repo/semantics/other
oai:zenodo.org:3739449
2023-05-09T06:30:06Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago R.
Pisel, Jesse
Hoese, David
Heagy, Lindsey
2020-04-06
<p>Verde is a Python library for processing spatial data (bathymetry, geophysics surveys, etc) and interpolating it on regular grids (i.e., <em>gridding</em>).</p>
<p>* Documentation: https://www.fatiando.org/verde</p>
<p>* Source code: https://github.com/fatiando/verde</p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.3739449
oai:zenodo.org:3739449
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.1478244
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
geospatial
earth sciences
python
Verde v1.4.0: Processing and gridding spatial data in Python
info:eu-repo/semantics/other
oai:zenodo.org:3620851
2023-05-09T06:30:06Z
software
user-fatiando
Soler, Santiago R.
Uieda, Leonardo
2020-01-22
<p>Verde is a Python library for processing spatial data (bathymetry, geophysics surveys, etc) and interpolating it on regular grids (i.e., <em>gridding</em>).</p>
<p>* Documentation: http://www.fatiando.org/verde</p>
<p>* Source code: https://github.com/fatiando/verde</p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.3620851
oai:zenodo.org:3620851
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.1478244
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
geospatial
earth sciences
python
Verde v1.3.0: Processing and gridding spatial data using Green's functions
info:eu-repo/semantics/other
oai:zenodo.org:3877060
2023-05-09T06:30:06Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago R.
Pisel, Jesse
Hoese, David
Heagy, Lindsey
2020-06-04
<p>Verde is a Python library for processing spatial data (bathymetry, geophysics surveys, etc) and interpolating it on regular grids (i.e., <em>gridding</em>) with a hint of machine learning.</p>
<p><strong>Verde v1.0.0 was reviewed at the Journal of Open Source Software:</strong> <a href="https://github.com/openjournals/joss-reviews/issues/957">https://github.com/openjournals/joss-reviews/issues/957</a></p>
<p><strong>Documentation:</strong> https://www.fatiando.org/verde</p>
<p><strong>Source code:</strong> https://github.com/fatiando/verde</p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.3877060
oai:zenodo.org:3877060
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.1478244
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
geospatial
earth sciences
python
Verde v1.5.0: Processing and gridding spatial data in Python
info:eu-repo/semantics/other
oai:zenodo.org:6384887
2023-05-09T06:30:07Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago R.
Pisel, Jesse
Hoese, David
Heagy, Lindsey
2022-03-25
<p>Verde is a Python library for processing spatial data (bathymetry, geophysics surveys, etc) and interpolating it on regular grids (i.e., <em>gridding</em>) with a hint of machine learning.</p>
<p><strong>Verde v1.0.0 was reviewed at the Journal of Open Source Software:</strong> <a href="https://github.com/openjournals/joss-reviews/issues/957">https://github.com/openjournals/joss-reviews/issues/957</a></p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/verde">https://www.fatiando.org/verde</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/verde">https://github.com/fatiando/verde</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.6384887
oai:zenodo.org:6384887
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.1478244
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
geospatial
earth sciences
python
Verde v1.7.0: Processing and gridding spatial data in Python
info:eu-repo/semantics/other
oai:zenodo.org:7079711
2023-03-21T11:02:17Z
openaire_data
user-fatiando
Uieda, Leonardo
Gomez, Mariana
2022-09-15
<p>Regular grid of total-field magnetic anomaly data from the Lightning Creek Sill Complex, featuring a text-book dipolar anomaly. This is a gridded version of the Lightning Creek anomaly from <a href="https://github.com/fatiando-data/osborne-magnetic">our Osborne Mine dataset</a>.</p>
<p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p>
<p><strong>Changes made: </strong>Slice to area of interest. Project data to UTM. Interpolate to a regular 50 m grid at 500 m height. Add CF-compliant metadata to the grid. Export to compressed netCDF 4.</p>
<p><strong>Source: </strong>Geophysical Acquisition & Processing Section 2019. MIM Data from Mt Isa Inlier, QLD (P1029), magnetic line data, AWAGS levelled. Geoscience Australia, Canberra. <a href="http://pid.geoscience.gov.au/dataset/ga/142419">http://pid.geoscience.gov.au/dataset/ga/142419</a></p>
<p><strong>Source license: </strong><a href="http://pid.geoscience.gov.au/dataset/ga/142419">CC-BY</a></p>
<p><strong>Repository: </strong><a href="https://github.com/fatiando-data/lightning-creek-magnetic-grid">https://github.com/fatiando-data/lightning-creek-magnetic-grid</a></p>
https://doi.org/10.5281/zenodo.7079711
oai:zenodo.org:7079711
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.7079710
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Fatiando a Terra Data: Lightning Creek Sill Complex, Australia - Airborne total-field magnetic anomaly grid
info:eu-repo/semantics/other
oai:zenodo.org:5560923
2023-03-21T11:02:26Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago Rubén
van Kemenade, Hugo
Rampin, Rémi
Shapero, Daniel
Banihirwe, Anderson
Turk, Matthew
Kowalik, Kacper
Hauser, Mathias
Gregor, Luke
Horta, Danilo
McCloy, Daniel
Robert, Clément
Leeman, John
Harfouche, Mark
Valentino, Antonio
2021-10-11
<p><em>Does your Python package include sample datasets? Are you shipping them with the code? Are they getting too big?</em></p>
<p>Pooch is here to help! It will manage a data <em>registry</em> by downloading your data files from a server only when needed and storing them locally in a data <em>cache</em> (a folder on your computer).</p>
<p>Here are Pooch's main features:</p>
<ul>
<li>Pure Python and minimal dependencies.</li>
<li>Download a file only if necessary (it's not in the data cache or needs to be updated).</li>
<li>Verify download integrity through SHA256 hashes (also used to check if a file needs to be updated).</li>
<li>Designed to be extended: plug in custom download (FTP, scp, etc) and post-processing (unzip, decompress, rename) functions.</li>
<li>Includes utilities to unzip/decompress the data upon download to save loading time.</li>
<li>Can handle basic HTTP authentication (for servers that require a login) and printing download progress bars.</li>
<li>Easily set up an environment variable to overwrite the data cache location.</li>
</ul>
<p><em>Are you a scientist or researcher? Pooch can help you too!</em></p>
<ul>
<li>Automatically download your data files so you don't have to keep them in your GitHub repository.</li>
<li>Make sure everyone running the code has the same version of the data files (enforced through the SHA256 hashes).</li>
</ul>
<p><strong>Pooch v0.7.1 was reviewed at the Journal of Open Source Software:</strong> <a href="https://github.com/openjournals/joss-reviews/issues/1943">https://github.com/openjournals/joss-reviews/issues/1943</a></p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/pooch">https://www.fatiando.org/pooch</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/pooch">https://github.com/fatiando/pooch</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.5560923
oai:zenodo.org:5560923
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3515030
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Python
Pooch v1.5.2: A friend to fetch your data files
info:eu-repo/semantics/other
oai:zenodo.org:3747184
2023-03-21T11:02:29Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago Rubén
Rampin, Rémi
van Kemenade, Hugo
Shapero, Daniel
Banihirwe, Anderson
Turk, Matthew
Kowalik, Kacper
2020-04-13
<p><em>Does your Python package include sample datasets? Are you shipping them with the code? Are they getting too big?</em></p>
<p>Pooch is here to help! It will manage a data <em>registry</em> by downloading your data files from a server only when needed and storing them locally in a data <em>cache</em> (a folder on your computer).</p>
<p>Here are Pooch's main features:</p>
<ul>
<li>Pure Python and minimal dependencies.</li>
<li>Download a file only if necessary (it's not in the data cache or needs to be updated).</li>
<li>Verify download integrity through SHA256 hashes (also used to check if a file needs to be updated).</li>
<li>Designed to be extended: plug in custom download (FTP, scp, etc) and post-processing (unzip, decompress, rename) functions.</li>
<li>Includes utilities to unzip/decompress the data upon download to save loading time.</li>
<li>Can handle basic HTTP authentication (for servers that require a login) and printing download progress bars.</li>
<li>Easily set up an environment variable to overwrite the data cache location.</li>
</ul>
<p><em>Are you a scientist or researcher? Pooch can help you too!</em></p>
<ul>
<li>Automatically download your data files so you don't have to keep them in your GitHub repository.</li>
<li>Make sure everyone running the code has the same version of the data files (enforced through the SHA256 hashes).</li>
</ul>
<p><strong>Pooch v0.7.1 was reviewed at the Journal of Open Source Software:</strong> <a href="https://github.com/openjournals/joss-reviews/issues/1943">https://github.com/openjournals/joss-reviews/issues/1943</a></p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/pooch">https://www.fatiando.org/pooch</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/pooch">https://github.com/fatiando/pooch</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.3747184
oai:zenodo.org:3747184
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3515030
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Python
Pooch v1.1.0: A friend to fetch your data files
info:eu-repo/semantics/other
oai:zenodo.org:3611376
2023-03-21T11:02:31Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago Rubén
Rampin, Rémi
van Kemenade, Hugo
Turk, Matthew
Shapero, Daniel
Banihirwe, Anderson
Leeman, John
2020-01-17
<p><em>Does your Python package include sample datasets? Are you shipping them with the code? Are they getting too big?</em></p>
<p>Pooch is here to help! It will manage a data <em>registry</em> by downloading your data files from a server only when needed and storing them locally in a data <em>cache</em> (a folder on your computer).</p>
<p>Here are Pooch's main features:</p>
<ul>
<li>Pure Python and minimal dependencies.</li>
<li>Download a file only if necessary (it's not in the data cache or needs to be updated).</li>
<li>Verify download integrity through SHA256 hashes (also used to check if a file needs to be updated).</li>
<li>Designed to be extended: plug in custom download (FTP, scp, etc) and post-processing (unzip, decompress, rename) functions.</li>
<li>Includes utilities to unzip/decompress the data upon download to save loading time.</li>
<li>Can handle basic HTTP authentication (for servers that require a login) and printing download progress bars.</li>
<li>Easily set up an environment variable to overwrite the data cache location.</li>
</ul>
<p><em>Are you a scientist or researcher? Pooch can help you too!</em></p>
<ul>
<li>Automatically download your data files so you don't have to keep them in your GitHub repository.</li>
<li>Make sure everyone running the code has the same version of the data files (enforced through the SHA256 hashes).</li>
</ul>
<p><strong>Pooch v0.7.1 was reviewed at the Journal of Open Source Software:</strong> <a href="https://github.com/openjournals/joss-reviews/issues/1943">https://github.com/openjournals/joss-reviews/issues/1943</a></p>
https://doi.org/10.5281/zenodo.3611376
oai:zenodo.org:3611376
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3515030
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Python
Pooch: A friend to fetch your data files
info:eu-repo/semantics/other
oai:zenodo.org:7678844
2023-03-21T11:02:26Z
software
user-fatiando
Fatiando a Terra Project
Banihirwe, Anderson
Buckley, Genevieve
Gregor, Luke
Hauser, Mathias
Harfouche, Mark
Horta, Danilo
van Kemenade, Hugo
Kempf, Dominic
Kowalik, Kacper
Leeman, John
Ludwig, Björn
McCloy, Daniel
Rampin, Rémi
Robert, Clément
Shapero, Daniel
Soler, Santiago Rubén
Turk, Matthew
Uieda, Leonardo
Valentino, Antonio
2023-02-27
<p><em>Does your Python package include sample datasets? Are you shipping them with the code? Are they getting too big?</em></p>
<p>Pooch is here to help! It will manage a data <em>registry</em> by downloading your data files from a server only when needed and storing them locally in a data <em>cache</em> (a folder on your computer).</p>
<p>Here are Pooch's main features:</p>
<ul>
<li>Pure Python and minimal dependencies.</li>
<li>Download a file only if necessary (it's not in the data cache or needs to be updated).</li>
<li>Verify download integrity through SHA256 hashes (also used to check if a file needs to be updated).</li>
<li>Designed to be extended: plug in custom download (FTP, scp, etc) and post-processing (unzip, decompress, rename) functions.</li>
<li>Includes utilities to unzip/decompress the data upon download to save loading time.</li>
<li>Can handle basic HTTP authentication (for servers that require a login) and printing download progress bars.</li>
<li>Easily set up an environment variable to overwrite the data cache location.</li>
</ul>
<p><em>Are you a scientist or researcher? Pooch can help you too!</em></p>
<ul>
<li>Automatically download your data files so you don't have to keep them in your GitHub repository.</li>
<li>Make sure everyone running the code has the same version of the data files (enforced through the SHA256 hashes).</li>
</ul>
<p><strong>Pooch v0.7.1 was reviewed at the Journal of Open Source Software:</strong> <a href="https://github.com/openjournals/joss-reviews/issues/1943">https://github.com/openjournals/joss-reviews/issues/1943</a></p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/pooch">https://www.fatiando.org/pooch</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/pooch">https://github.com/fatiando/pooch</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
<p><strong>Note:</strong> Authors are listed in alphabetical order by last name.</p>
https://doi.org/10.5281/zenodo.7678844
oai:zenodo.org:7678844
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3515030
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Python
Pooch v1.7.0: A friend to fetch your data files
info:eu-repo/semantics/other
oai:zenodo.org:10680982
2024-02-20T13:04:53Z
software
user-fatiando
Fatiando a Terra Project
Banihirwe, Anderson
Buckley, Genevieve
Gregor, Luke
Harfouche, Mark
Hauser, Mathias
Horta, Danilo
van Kemenade, Hugo
Kempf, Dominic
Kowalik, Kacper
Leeman, John
Ludwig, Björn
McCloy, Daniel
Nunez-Iglesias, Juan
Rampin, Rémi
Robert, Clément
Shapero, Daniel
Soler, Santiago Rubén
Turk, Matthew
Uieda, Leonardo
Valentino, Antonio
2024-02-19
<blockquote>
<p><em>Just want to download a file without messing with <code>requests</code> and <code>urllib</code>? Trying to add sample datasets to your Python package? <strong>Pooch is here to help!</strong></em></p>
</blockquote>
<p><em>Pooch</em> is a <strong>Python library</strong> that can manage data by <strong>downloading files</strong> from a server (only when needed) and storing them locally in a data <strong>cache</strong> (a folder on your computer).</p>
<ul>
<li>Pure Python and minimal dependencies.</li>
<li>Download files over HTTP, FTP, and from data repositories like Zenodo and figshare.</li>
<li>Built-in post-processors to unzip/decompress the data after download.</li>
<li>Designed to be extended: create custom downloaders and post-processors.</li>
</ul>
<p>Are you a <strong>scientist</strong> or researcher? Pooch can help you too!</p>
<ul>
<li>Host your data on a repository and download using the DOI.</li>
<li>Automatically download data using code instead of telling colleagues to do it themselves.</li>
<li>Make sure everyone running the code has the same version of the data files.</li>
</ul>
<p><strong>Pooch v0.7.1 was reviewed at the Journal of Open Source Software:</strong> <a href="https://github.com/openjournals/joss-reviews/issues/1943">https://github.com/openjournals/joss-reviews/issues/1943</a></p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/pooch">https://www.fatiando.org/pooch</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/pooch">https://github.com/fatiando/pooch</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
<p><strong>Note:</strong> Authors are listed in alphabetical order by last name.</p>
https://doi.org/10.5281/zenodo.10680982
oai:zenodo.org:10680982
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3515030
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Python
Pooch v1.8.1: A friend to fetch your data files
info:eu-repo/semantics/other
oai:zenodo.org:4924875
2023-03-21T11:02:11Z
openaire_data
user-fatiando
Uieda, Leonardo
2021-06-10
<p>Pooch is an open-source Python library for data download. This archive contains testing data for Pooch's Zenodo download functionality.</p>
https://doi.org/10.5281/zenodo.4924875
oai:zenodo.org:4924875
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.4924874
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Test data for the Pooch library
info:eu-repo/semantics/other
oai:zenodo.org:7258175
2024-02-20T13:10:43Z
software
user-fatiando
Fatiando a Terra Project
Dinneen, Chris
Gomez, Mariana
Li, Lu
Pesce, Agustina
Soler, Santiago Rubén
Uieda, Leonardo
2022-10-27
<p><strong>Boule</strong> is Python library for representing <a href="https://en.wikipedia.org/wiki/Reference_ellipsoid">reference ellipsoids</a> and calculating their gravity fields.</p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/boule">https://www.fatiando.org/boule</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/boule">https://github.com/fatiando/boule</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
<p><strong>Note:</strong> Authors are listed in alphabetical order by last name.</p>
https://doi.org/10.5281/zenodo.7258175
oai:zenodo.org:7258175
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3530749
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
geodesy
python
gravity
Boule v0.4.1: Reference ellipsoids for geodesy and geophysics
info:eu-repo/semantics/other
oai:zenodo.org:7851748
2023-05-12T20:45:38Z
software
user-fatiando
Fatiando a Terra Project
Soler, Santiago R.
Uieda, Leonardo
2022-11-19
<p><strong>Choclo</strong> is a Python library that hosts optimized kernel functions for running geophysical forward and inverse models, intended to be used by other libraries as the underlying layer of their computation. "Choclo" is a term used in some countries of South America to refer to corn, originated from the <a href="https://en.wikipedia.org/wiki/Quechuan_languages">quechua</a> word <em>chuqllu</em>.</p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/choclo">https://www.fatiando.org/choclo</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/choclo">https://github.com/fatiando/choclo</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
https://doi.org/10.5281/zenodo.7851748
oai:zenodo.org:7851748
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.7851747
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Choclo v0.0.1: Kernel functions for your geophysical models
info:eu-repo/semantics/other
oai:zenodo.org:10632724
2024-02-20T13:09:11Z
software
user-fatiando
Fatiando a Terra Project
Gomez, Mariana
Soler, Santiago Rubén
Uieda, Leonardo
2024-02-07
<p><strong>Ensaio</strong> (Portuguese for "rehearsal") is a Python package for downloading open-access sample datasets for Geoscience. It taps into the curated collection in <a href="https://github.com/fatiando-data">github.com/fatiando-data</a> and uses <a href="https://www.fatiando.org/pooch/latest/">Pooch</a> to manage downloading and caching data.</p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/ensaio">https://www.fatiando.org/ensaio</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/ensaio">https://github.com/fatiando/ensaio</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
<p><strong>Note:</strong> Authors are listed in alphabetical order by last name.</p>
https://doi.org/10.5281/zenodo.10632724
oai:zenodo.org:10632724
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.5784202
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
data
Ensaio v0.6.0: Practice datasets to probe your code
info:eu-repo/semantics/other
oai:zenodo.org:7260639
2023-03-21T11:02:23Z
software
user-fatiando
Fatiando a Terra Project
Gomez, Mariana
Soler, Santiago Rubén
Uieda, Leonardo
2022-11-24
<p><strong>Ensaio</strong> (Portuguese for "rehearsal") is a Python package for downloading open-access sample datasets for Geoscience. It taps into the curated collection in <a href="https://github.com/fatiando-data">github.com/fatiando-data</a> and uses <a href="https://www.fatiando.org/pooch/latest/">Pooch</a> to manage downloading and caching data.</p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/ensaio">https://www.fatiando.org/ensaio</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/ensaio">https://github.com/fatiando/ensaio</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
<p><strong>Note:</strong> Authors are listed in alphabetical order by last name.</p>
https://doi.org/10.5281/zenodo.7260639
oai:zenodo.org:7260639
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.5784202
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
data
Ensaio v0.5.0: Practice datasets to probe your code
info:eu-repo/semantics/other
oai:zenodo.org:6513957
2023-03-21T11:02:24Z
software
user-fatiando
Fatiando a Terra Project
Soler, Santiago Rubén
Uieda, Leonardo
2022-05-03
<p><strong>Ensaio</strong> (Portuguese for "rehearsal") is a Python package for downloading open-access sample datasets for Geoscience. It taps into the curated collection in <a href="https://github.com/fatiando-data">github.com/fatiando-data</a> and uses <a href="https://www.fatiando.org/pooch/latest/">Pooch</a> to manage downloading and caching data.</p>
<p><strong>Documentation:</strong> <a href="https://www.fatiando.org/ensaio">https://www.fatiando.org/ensaio</a></p>
<p><strong>Source code:</strong> <a href="https://github.com/fatiando/ensaio">https://github.com/fatiando/ensaio</a></p>
<p>Part of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project.</p>
<p><strong>Note:</strong> Authors are listed in alphabetical order by last name.</p>
https://doi.org/10.5281/zenodo.6513957
oai:zenodo.org:6513957
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.5784202
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
data
Ensaio v0.4.0: Practice datasets to probe your code
info:eu-repo/semantics/other
oai:zenodo.org:4685960
2023-05-08T10:04:37Z
software
user-fatiando
Soler, Santiago R.
Uieda, Leonardo
Oliveira Jr, Vanderlei C
Shea, Nicholas
Pesce, Agustina
2021-04-14
<p>Harmonica is a Python library for processing and modeling gravity and magnetic data. It includes common processing steps, like calculation of Bouguer and terrain corrections, reduction to the pole, upward continuation, equivalent layers, and more. There are forward modeling functions for basic geometric shapes, like spheres, prisms, polygonal prisms, and tesseroids. The inversion methods are implemented as classes with an interface inspired by scikit-learn (like <a href="https://www.fatiando.org/verde">Verde</a>).</p>
https://doi.org/10.5281/zenodo.4685960
oai:zenodo.org:4685960
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3628741
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Harmonica: Forward modeling, inversion, and processing gravity and magnetic data
info:eu-repo/semantics/other
oai:zenodo.org:3939204
2023-03-21T11:02:22Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago Rubén
2020-07-10
<p><em>Boule</em> is Python library for representing <a href="https://en.wikipedia.org/wiki/Reference_ellipsoid">Reference Ellipsoids</a>, calculating their gravity fields, and converting coordinates defined on the ellipsoids.</p>
<p>The main use cases are:</p>
<ul>
<li>Calculating normal gravity (for gravity anomalies and disturbances).</li>
<li>Spherical gravity modeling, which requires geodetic to geocentric spherical coordinate conversions.</li>
<li>Input ellipsoid parameters for spherical harmonic analysis.</li>
</ul>
<p>Boule is French for "ball" and also a <a href="https://en.wikipedia.org/wiki/Boule_(bread)">traditional shape of bread resembling a squashed ball</a> (much like the Earth).</p>
https://doi.org/10.5281/zenodo.3939204
oai:zenodo.org:3939204
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3530749
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
geophysics
geodesy
Boule v0.2.0: Reference ellipsoids for geodesy, geophysics, and coordinate calculations
info:eu-repo/semantics/other
oai:zenodo.org:5745400
2023-05-08T10:04:37Z
software
user-fatiando
Soler, Santiago R.
Uieda, Leonardo
Oliveira Jr, Vanderlei C
Shea, Nicholas
Pesce, Agustina
2021-12-02
<p>Harmonica is a Python library for processing and modeling gravity and magnetic data. It includes common processing steps, like calculation of Bouguer and terrain corrections, reduction to the pole, upward continuation, equivalent layers, and more. There are forward modeling functions for basic geometric shapes, like spheres, prisms, polygonal prisms, and tesseroids. The inversion methods are implemented as classes with an interface inspired by scikit-learn (like <a href="https://www.fatiando.org/verde">Verde</a>).</p>
https://doi.org/10.5281/zenodo.5745400
oai:zenodo.org:5745400
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3628741
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Harmonica: Forward modeling, inversion, and processing gravity and magnetic data
info:eu-repo/semantics/other
oai:zenodo.org:7026294
2023-05-08T10:04:38Z
software
user-fatiando
Fatiando a Terra Project
Esteban, Federico D.
Li, Lu
Oliveira Jr, Vanderlei C
Pesce, Agustina
Shea, Nicholas
Soler, Santiago R.
Tankersley, Matthew
Uieda, Leonardo
2022-08-26
<p>Harmonica is a Python library for processing and modeling gravity and magnetic data. It includes common processing steps, like calculation of Bouguer and terrain corrections, reduction to the pole, upward continuation, equivalent layers, and more. There are forward modeling functions for basic geometric shapes, like spheres, prisms, polygonal prisms, and tesseroids. The inversion methods are implemented as classes with an interface inspired by scikit-learn (like <a href="https://www.fatiando.org/verde">Verde</a>).</p>
https://doi.org/10.5281/zenodo.7026294
oai:zenodo.org:7026294
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3628741
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Harmonica: Forward modeling, inversion, and processing gravity and magnetic data
info:eu-repo/semantics/other
oai:zenodo.org:5579324
2023-05-08T10:04:37Z
software
user-fatiando
Soler, Santiago R.
Uieda, Leonardo
Oliveira Jr, Vanderlei C
Shea, Nicholas
Pesce, Agustina
2021-10-20
<p>Harmonica is a Python library for processing and modeling gravity and magnetic data. It includes common processing steps, like calculation of Bouguer and terrain corrections, reduction to the pole, upward continuation, equivalent layers, and more. There are forward modeling functions for basic geometric shapes, like spheres, prisms, polygonal prisms, and tesseroids. The inversion methods are implemented as classes with an interface inspired by scikit-learn (like <a href="https://www.fatiando.org/verde">Verde</a>).</p>
https://doi.org/10.5281/zenodo.5579324
oai:zenodo.org:5579324
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3628741
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Harmonica: Forward modeling, inversion, and processing gravity and magnetic data
info:eu-repo/semantics/other
oai:zenodo.org:3628742
2023-05-08T10:04:36Z
software
user-fatiando
Uieda, Leonardo
Soler, Santiago R.
Pesce, Agustina
Oliveira Jr, Vanderlei C
Shea, Nicholas
2020-02-27
<p>Harmonica is a Python library for processing and modeling gravity and magnetic data. It includes common processing steps, like calculation of Bouguer and terrain corrections, reduction to the pole, upward continuation, equivalent layers, and more. There are forward modeling functions for basic geometric shapes, like spheres, prisms, polygonal prisms, and tesseroids. The inversion methods are implemented as classes with an interface inspired by scikit-learn (like <a href="https://www.fatiando.org/verde">Verde</a>).</p>
https://doi.org/10.5281/zenodo.3628742
oai:zenodo.org:3628742
eng
Zenodo
https://zenodo.org/communities/fatiando
https://doi.org/10.5281/zenodo.3628741
info:eu-repo/semantics/openAccess
BSD 3-Clause "New" or "Revised" License
https://opensource.org/licenses/BSD-3-Clause
Harmonica: Forward modeling, inversion, and processing gravity and magnetic data
info:eu-repo/semantics/other