• This repository has been archived on 10/Feb/2023
  • Stars
    star
    4
  • Rank 3,304,323 (Top 66 %)
  • Language
  • License
    Creative Commons ...
  • Created over 3 years ago
  • Updated almost 2 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

ARCHIVED. Sources have been moved to https://github.com/compgeolab/website

More Repositories

1

xlandsat

A Python package for handling Landsat data from EarthExplorer with xarray
Python
23
star
2

2020-aachen-inverse-problems

Short course on geophysical inversion at RWTH Aachen University.
Jupyter Notebook
19
star
3

eql-gradient-boosted

Paper: Gradient-boosted equivalent sources method for interpolating very large gravity and magnetic datasets
Jupyter Notebook
19
star
4

australia-gravity-data

Compilation of all Geoscience Australia ground gravity data, filtered for data quality, converted to the WGS84 datum, and combined in a single file.
Jupyter Notebook
17
star
5

transform2022

Tutorial: A geophysical tour of mid-ocean ridges (Transform2022)
Jupyter Notebook
8
star
6

paper-template

Template for a new paper repository with code, data, and manuscript
TeX
7
star
7

dissertation-moho-uncertainty

Dissertation project: "Estimating the accuracy of Moho depth estimates from gravity inversion"
Jupyter Notebook
6
star
8

website

Source for the group website.
CSS
5
star
9

micromag-euler-dipole

Paper: Full vector inversion of magnetic microscopy images using Euler deconvolution as a priori information
Jupyter Notebook
5
star
10

dissertation-template

Template for University of Liverpool dissertation projects
TeX
4
star
11

checkin

A repository for new members to learn git and the GitHub workflow
2
star
12

momotombo-landsat-2015

Process and make figures from Landsat 8 scenes of the 2015 Momotombo volcano eruption
Jupyter Notebook
2
star
13

agu2021

Invited presentation for the "Open Science in Action" session at AGU2021
JavaScript
2
star
14

szwillus-moho-depth

Download the seismological Moho depth grid from Szwillus et al. (2019) and convert it to netCDF
Jupyter Notebook
2
star
15

mauna-loa-landsat-2022

Visualize Landsat 9 images of the Mauna Loa eruption of December 2022
Jupyter Notebook
1
star
16

latex_variables

Package to convert Python variables to LaTeX
Python
1
star
17

logo

Logo and branding material for the lab
1
star