DUGseis

DUGseis: A Python package for real-time and post-processing of picoseismicity - Published in JOSS (2024)

https://github.com/swiss-seismological-service/dugseis

Science Score: 98.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • 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
  • 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

Mathematics Computer Science - 84% confidence
Last synced: 6 months ago · JSON representation

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
Created almost 5 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

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

  1. Install miniconda for your operating system: https://docs.conda.io/en/latest/miniconda.html
  2. 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

Swiss Seismological Service at ETH Zurich

JOSS Publication

DUGseis: A Python package for real-time and post-processing of picoseismicity
Published
November 22, 2024
Volume 9, Issue 103, Page 6768
Authors
Martina Rosskopf ORCID
Institute of Geophysics, ETH Zurich, Zurich, Switzerland, Swiss Seismological Service, ETH Zurich, Zurich, Switzerland
Virginie Durand ORCID
GeoAzur, Université Côte d’Azur, France
Linus Villiger ORCID
Swiss Seismological Service, ETH Zurich, Zurich, Switzerland
Joseph Doetsch ORCID
Lufthansa Industry Solutions, Raunheim, Germany
Anne Obermann ORCID
Institute of Geophysics, ETH Zurich, Zurich, Switzerland, Swiss Seismological Service, ETH Zurich, Zurich, Switzerland
Lion Krischer ORCID
Mondaic AG, Zurich, Switzerland
Editor
Chris Vernon ORCID
Tags
ObsPy induced seismicity picoseismicity fluid injection hydraulic stimulation

GitHub 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

All Time
  • Total Commits: 166
  • Total Committers: 10
  • Avg Commits per committer: 16.6
  • Development Distribution Score (DDS): 0.699
Past Year
  • Commits: 23
  • Committers: 2
  • Avg Commits per committer: 11.5
  • Development Distribution Score (DDS): 0.043
Top Committers
Name Email 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

docs/doc_requirements.txt pypi
  • click *
  • myst-parser *
  • numba *
  • numpy *
  • obspy *
  • pyasdf *
  • pyproj >=3
  • pyyaml *
  • schema *
  • scipy *
  • sphinx-book-theme *
  • tqdm *
dug_seis/event_processing/picking/pickers/aurem/requirements.txt pypi
  • matplotlib >=2.1.0
  • numpy >=1.18.1
  • obspy >=1.1.0
dug_seis/event_processing/picking/pickers/aurem/setup.py pypi
pyproject.toml pypi
setup.py pypi
  • click *
  • joblib *
  • matplotlib *
  • numba *
  • numpy *
  • obspy *
  • pyasdf *
  • pyopengl *
  • pyproj >=3
  • pyqtgraph *
  • pyside6 *
  • pyyaml *
  • schema *
  • scipy *
  • tqdm *