DUGseis
DUGseis: A Python package for real-time and post-processing of picoseismicity - Published in JOSS (2024)
Science Score: 98.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README and JOSS metadata -
○Academic publication links
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✓Committers with academic emails
7 of 10 committers (70.0%) from academic institutions -
✓Institutional organization owner
Organization swiss-seismological-service has institutional domain (www.seismo.ethz.ch) -
✓JOSS paper metadata
Published in Journal of Open Source Software
Scientific Fields
Repository
Software for acquisition and processing of micro-seismic data
Basic Info
- Host: GitHub
- Owner: swiss-seismological-service
- License: other
- Language: Python
- Default Branch: main
- Size: 1.55 MB
Statistics
- Stars: 16
- Watchers: 9
- Forks: 5
- Open Issues: 3
- Releases: 1
Metadata Files
README.md
Software for processing and visualization of micro-seismic data
The DUGSeis software package was developed to manage, process and visualize continuous, high-frequency seismic data. It can be used to create earthquake catalogs in real-time, as well as in post-processing and directly visualize the event waveforms and event locations in a graphical user interface. The software is Python-based therefore, users can easily add their own processing routines.
Detailed information can be found in the Documentation.
Installation
The conda Python distribution is recommended, but you can use any Python distribution you see fit.
Installing conda
- Install
minicondafor your operating system: https://docs.conda.io/en/latest/miniconda.html - Create a new environment:
bash
conda create -n dug_seis python=3.11
conda activate dug_seis
Make sure the dug_seis environment is active when using DUGSeis and for
all the following steps on this page!
Install DUGSeis
Clone DUGSeis
bash
git clone https://github.com/swiss-seismological-service/DUGseis.git
bash
cd DUGseis
conda activate dug_seis
pip install -e .
Example
An example dataset to test the software can be accessed with the Zenodo DOI.\ The dataset consists of a python run-file and its associated configuration file and the needed waveform and station xml files.
Getting help
If any problems arise, please open an issue. We will try to help and solve it as soon as possible.\ Additionally, any feedback or contributions are welcome! In this case, please also feel free to open an issue if you have any suggestions or would like to contribute a feature.
Owner
- Name: Swiss Seismological Service (SED)
- Login: swiss-seismological-service
- Kind: organization
- Location: Zurich, Switzerland
- Website: http://www.seismo.ethz.ch
- Repositories: 9
- Profile: https://github.com/swiss-seismological-service
Swiss Seismological Service at ETH Zurich
JOSS Publication
DUGseis: A Python package for real-time and post-processing of picoseismicity
Authors
Institute of Geophysics, ETH Zurich, Zurich, Switzerland, Swiss Seismological Service, ETH Zurich, Zurich, Switzerland
Tags
ObsPy induced seismicity picoseismicity fluid injection hydraulic stimulationGitHub Events
Total
- Create event: 1
- Release event: 1
- Issues event: 5
- Watch event: 7
- Issue comment event: 10
- Push event: 3
Last Year
- Create event: 1
- Release event: 1
- Issues event: 5
- Watch event: 7
- Issue comment event: 10
- Push event: 3
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Lion Krischer | l****r@g****m | 50 |
| mrosskopf | m****f@e****h | 47 |
| vlinus | l****r@e****h | 22 |
| virginie | v****d@s****h | 19 |
| Linvill | l****r@s****h | 10 |
| LiSedZh | l****1@g****m | 7 |
| memeier | m****r@e****h | 6 |
| Lion Krischer | l****r@m****m | 3 |
| Thomas Haag | t****g@e****h | 1 |
| mschwar | m****r@s****h | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 13
- Total pull requests: 3
- Average time to close issues: 21 days
- Average time to close pull requests: 27 days
- Total issue authors: 5
- Total pull request authors: 2
- Average comments per issue: 3.08
- Average comments per pull request: 0.67
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 6
- Pull requests: 0
- Average time to close issues: 15 days
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 4.83
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- erexer (6)
- kaestli (2)
- jessepisel (2)
- trichter (2)
- cjhopp (1)
Pull Request Authors
- krischer (3)
- ThomasHaagThomas (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- click *
- myst-parser *
- numba *
- numpy *
- obspy *
- pyasdf *
- pyproj >=3
- pyyaml *
- schema *
- scipy *
- sphinx-book-theme *
- tqdm *
- matplotlib >=2.1.0
- numpy >=1.18.1
- obspy >=1.1.0
- click *
- joblib *
- matplotlib *
- numba *
- numpy *
- obspy *
- pyasdf *
- pyopengl *
- pyproj >=3
- pyqtgraph *
- pyside6 *
- pyyaml *
- schema *
- scipy *
- tqdm *