python-dts-calibration
A Python package to load raw Distributed Temperature Sensing (DTS) files, perform a calibration, and plot the result.
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 4 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (13.9%) to scientific vocabulary
Keywords
calibration
dts
python
temperature
Last synced: 6 months ago
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JSON representation
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Repository
A Python package to load raw Distributed Temperature Sensing (DTS) files, perform a calibration, and plot the result.
Basic Info
- Host: GitHub
- Owner: dtscalibration
- License: bsd-3-clause
- Language: Python
- Default Branch: main
- Homepage: https://python-dts-calibration.readthedocs.io/en/latest/
- Size: 57.1 MB
Statistics
- Stars: 39
- Watchers: 7
- Forks: 18
- Open Issues: 12
- Releases: 32
Topics
calibration
dts
python
temperature
Created over 7 years ago
· Last pushed 9 months ago
Metadata Files
Readme
Changelog
Contributing
License
Citation
Authors
Zenodo
README.rst
========
Overview
========
.. start-badges
.. list-table::
* - Docs
- |docs|
* - Tests
- |tests|
* - Package
- | |version| |conda-forge| |supported-versions| |commits-since|
* - Citable
- |zenodo|
* - Example notebooks
- |example-notebooks|
.. |docs| image:: https://readthedocs.org/projects/python-dts-calibration/badge/?style=flat
:target: https://python-dts-calibration.readthedocs.io/en/latest/
:alt: Documentation Status
.. |tests| image:: https://github.com/dtscalibration/python-dts-calibration/actions/workflows/build.yml/badge.svg
:target: https://github.com/dtscalibration/python-dts-calibration/actions/workflows/build.yml
:alt: Test Status
.. |version| image:: https://img.shields.io/pypi/v/dtscalibration.svg
:alt: PyPI Package latest release
:target: https://pypi.python.org/pypi/dtscalibration
.. |commits-since| image:: https://img.shields.io/github/commits-since/dtscalibration/python-dts-calibration/v3.1.0.svg
:alt: Commits since latest release
:target: https://github.com/dtscalibration/python-dts-calibration/compare/v3.1.0...main
.. |wheel| image:: https://img.shields.io/pypi/wheel/dtscalibration.svg
:alt: PyPI Wheel
:target: https://pypi.python.org/pypi/dtscalibration
.. |supported-versions| image:: https://img.shields.io/pypi/pyversions/dtscalibration.svg
:alt: Supported versions
:target: https://pypi.python.org/pypi/dtscalibration
.. |zenodo| image:: https://zenodo.org/badge/143077491.svg
:alt: It would be greatly appreciated if you could cite this package in eg articles presentations
:target: https://zenodo.org/badge/latestdoi/143077491
.. |example-notebooks| image:: https://mybinder.org/badge.svg
:alt: Interactively run the example notebooks online
:target: https://mybinder.org/v2/gh/dtscalibration/python-dts-calibration/main?labpath=docs%2Fnotebooks
.. |conda-forge| image:: https://anaconda.org/conda-forge/dtscalibration/badges/version.svg
:alt: Conda-forge package
:target: https://anaconda.org/conda-forge/dtscalibration
.. end-badges
A Python package to load Distributed Temperature Sensing files, perform a calibration, and plot the result. A detailed description of the calibration procedure can be found at https://doi.org/10.3390/s20082235 .
Do you have questions, ideas or just want to say hi? Please leave a message on the `discussions page `_!
Installation
============
You can install the package in a python (virtual) environment with:
.. code-block:: zsh
pip install dtscalibration
Or the development version directly from GitHub
.. code-block:: zsh
pip install https://github.com/dtscalibration/python-dts-calibration/zipball/main --upgrade
The package is also available on conda-forge. Install it in a conda or mamba environment with:
.. code-block:: sh
conda install -c conda-forge dtscalibration
Package features
================
DTS measures temperature by calibrating backscatter measurements to sections with a known temperature. DTS devices provide a simple interface to perform a limited calibration. Re-calibrating your measurements with this Python package gives you better temperature estimates and additional options.
* Advanced calibration routine
* Supports `single `_- and `double-ended `_ setups
* Compute uncertainty of the calibrated temperature
* All measurements are used to estimate parameter values that are constant over time.
* Weighted least-squares calibration
* `Fixing parameters to a previously determined value `_
* `(Asymmetric) step loss correction `_ so that fiber connectors can be used instead of welds/splices.
* `Matching temperature sections `_ to support J-configurations
* Dynamic reference section definition
* Tools for merging and aligning double-ended setups
* Data formats of most manufacturers are supported
Devices currently supported
===========================
* Silixa Ltd.: **Ultima** & **XT-DTS** .xml files *(up to version 8.1)*
* Sensornet Ltd.: **Oryx**, **Halo** & **Sentinel** .ddf files
* AP Sensing: **N4386B** .xml files *(single ended only)*
* SensorTran: **SensorTran 5100** .dat binary files *(single ended only)*
Documentation
=============
* A full calibration procedure for single-ended setups is presented in notebook `07Calibrate_single_ended.ipynb `_ and for double-ended setups in `08Calibrate_double_ended.ipynb `_.
* Documentation at `readthedocs `_.
* Example notebooks (`./docs/notebooks`) that work within the browser can be viewed `here `_.
How to cite
===========
The following article explains and discusses the calibration procedure:
des Tombe, B., Schilperoort, B., & Bakker, M. (2020). Estimation of Temperature and Associated Uncertainty from Fiber-Optic Raman-Spectrum Distributed Temperature Sensing. Sensors, 20(8), 2235. https://doi.org/10.3390/s20082235
Cite the specific implementation / repository via Zenodo:
1. Check the version of `dtscalibration` that is used in your Python console with:
>>> # The following line introduces the .dts accessor for xarray datasets
>>> import dtscalibration # noqa: E401
>>> dtscalibration.__version__
'3.0.1'
2. Go to `Zenodo `_ and follow the link to the version of interest.
3. The citation is found on the bottom right of the page.
Owner
- Name: DTS Calibration
- Login: dtscalibration
- Kind: organization
- Website: https://python-dts-calibration.readthedocs.io/
- Repositories: 1
- Profile: https://github.com/dtscalibration
Citation (CITATION.cff)
# YAML 1.2
---
message: If you use this software, please cite it as below.
authors:
- affiliation: "Water Resources Section, Faculty of Civil Engineering and
Geosciences, Delft University of Technology, Delft, Netherlands"
family-names: "des Tombe"
given-names: "Bas François"
orcid: "https://orcid.org/0000-0002-3302-7387"
- affiliation: "Water Resources Section, Faculty of Civil Engineering and
Geosciences, Delft University of Technology, Delft, Netherlands"
family-names: Schilperoort
given-names: Bart
orcid: "https://orcid.org/0000-0003-4487-9822"
keywords:
- Distributed Temperature Sensing
- DTS
- calibration
- Python
cff-version: "1.0.3"
doi: "10.5281/zenodo.1410097"
license: "BSD-3-Clause"
repository-code: "https://github.com/dtscalibration/python-dts-calibration"
title: "Python distributed temperature sensing calibration"
version: "v3.1.0"
url: "https://python-dts-calibration.readthedocs.io"
GitHub Events
Total
- Watch event: 6
- Push event: 1
Last Year
- Watch event: 6
- Push event: 1
Committers
Last synced: over 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Bas des Tombe | b****e@g****m | 664 |
| Bart Schilperoort | b****t@g****m | 184 |
| Bart Schilperoort - CITG | b****o@t****t | 8 |
| bvdscheer | b****r@o****m | 4 |
| Bart Schilperoort | b****t@e****l | 3 |
| GitHub | n****y@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 55
- Total pull requests: 53
- Average time to close issues: 8 months
- Average time to close pull requests: about 1 month
- Total issue authors: 12
- Total pull request authors: 5
- Average comments per issue: 2.76
- Average comments per pull request: 1.81
- Merged pull requests: 42
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 2
- Average time to close issues: about 24 hours
- Average time to close pull requests: 7 days
- Issue authors: 1
- Pull request authors: 2
- Average comments per issue: 1.0
- Average comments per pull request: 3.5
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- BSchilperoort (19)
- bdestombe (19)
- zrxdaly (3)
- mankoff (3)
- Roywu99 (1)
- mitchelljbrown (1)
- klapo (1)
- johannespopma (1)
- XiaohangJi (1)
- davechris (1)
- mariosgeo (1)
- sdattri (1)
Pull Request Authors
- bdestombe (25)
- BSchilperoort (23)
- davechris (6)
- fprice111 (1)
- klapo (1)
Top Labels
Issue Labels
enhancement (5)
wontfix (1)
bug (1)
Pull Request Labels
Dependencies
.github/workflows/build.yml
actions
- actions/checkout v3 composite
- actions/setup-python v3 composite
.github/workflows/documentation.yml
actions
- actions/checkout v2 composite
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.github/workflows/python-publish-dry-run.yml
actions
- actions/checkout v3 composite
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.github/workflows/python-publish.yml
actions
- actions/checkout v3 composite
- actions/setup-python v3 composite
- pypa/gh-action-pypi-publish 27b31702a0e7fc50959f5ad993c78deac1bdfc29 composite
pyproject.toml
pypi
- bottleneck *
- dask *
- flox *
- matplotlib *
- nc-time-axis >=1.4.1
- netCDF4 >=1.6.4
- numpy >=1.22.4
- pandas *
- pyyaml >=6.0.1
- scipy *
- statsmodels *
- xarray [parallel]
- xmltodict *