Science Score: 54.0%
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
-
✓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 (11.6%) to scientific vocabulary
Keywords
chlorophyll
nasa
oceanograpy
satellite
Last synced: 7 months ago
·
JSON representation
·
Repository
Search and fetch NASA Ocean Color data
Basic Info
- Host: GitHub
- Owner: castelao
- License: other
- Language: Python
- Default Branch: main
- Homepage: https://oceancolor.readthedocs.io
- Size: 274 KB
Statistics
- Stars: 17
- Watchers: 2
- Forks: 3
- Open Issues: 0
- Releases: 1
Topics
chlorophyll
nasa
oceanograpy
satellite
Created over 5 years ago
· Last pushed over 2 years ago
Metadata Files
Readme
Changelog
Contributing
License
Code of conduct
Citation
Authors
Zenodo
README.rst
===========
Ocean Color
===========
.. image:: https://zenodo.org/badge/318619654.svg
:target: https://zenodo.org/badge/latestdoi/318619654
.. image:: https://readthedocs.org/projects/oceancolor/badge/?version=latest
:target: https://oceancolor.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. image:: https://img.shields.io/pypi/v/OceanColor.svg
:target: https://pypi.python.org/pypi/OceanColor
.. image:: https://github.com/castelao/OceanColor/actions/workflows/ci.yml/badge.svg
:target: https://github.com/castelao/OceanColor/actions
.. image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/castelao/OceanColor/main?filepath=docs%2Fnotebooks
Search and subset NASA Ocean Color data
* Free software: BSD license
* Documentation: https://oceancolor.readthedocs.io.
NASA provides great resources to search and access its data. This package is
intended to fill a gap in obtaining chlorophyll data to be compared with in
situ observations by searching pixels within a given time and distance tolerance.
For instance, it is used to calibrate chlorophyll fluorescence measurements
from Spray underwater gliders.
The OceanColor package was developed at the `Instrument Development Group
`_ of `Scripps Institution of Oceanography
`_ in support for the `California Underwater Glider
Network `_ operations, which is
funded by:
* Global Ocean Monitoring and Observing (GOMO) Program - NOAA
* Southern California Coastal Ocean Observing System (SCCOOS)
---------------------
Quickstart - terminal
---------------------
Let's install it
.. code-block:: console
$ pip install OceanColor
or
.. code-block:: console
$ conda install OceanColor
Let's get the L2 chlorophyll measurements from MODIS-Aqua nearby Scripps' Pier.
On the terminal, let's run:
.. code-block:: console
$ OceanColor InRange \
--username= \
--password= \
--data-type=L2 \
--time-tolerance=12 \
--distance-tolerance=15e3 \
2019-05-21T12:00:00,32.867066,-117.257408
Using it inside Python is more flexible than in the terminal. Check the manual
on how to use it.
------------
Alternatives
------------
* `pyModis `_ is a well established and
mature package. If you are not satisfied with OceanColor, consider using
pyModis. If you are interested in working with full frames (granules),
instead of the subset of pixels nearby some reference, pyModis might be
a better solution for you.
Owner
- Name: Guilherme Castelão
- Login: castelao
- Kind: user
- Location: CO
- Company: @NREL
- Website: www.castelao.net
- Repositories: 80
- Profile: https://github.com/castelao
multi-class: PhD in Physical Oceanography, offshore solo sailor, Rustacean and Pythonista.
Citation (CITATION.cff)
cff-version: 1.2.0
title: "A Python package to search and fetch NASA Ocean Color data within range of waypoints of interest"
message: If you use this software, please cite it using these metadata.
authors:
- given-names: Guilherme
family-names: Castelao
affiliation: Scripps Institution of Oceanography - UC San Diego
orcid: https://orcid.org/0000-0002-6765-0708
version: 0.0.10
doi: 10.5281/zenodo.4646628
date-released: 2021-03-21
repository-code: https://github.com/castelao/CoTeDe
license: BSD-3 Clause
references:
- title: "numpy"
type: article
doi: 10.1038/s41586-020-2649-2
- title: "pandas"
type: software
version: 1.3.3
doi: 10.5281/zenodo.5501881
- title: "xarray"
type: software
version: 0.19.0
doi: 10.5281/zenodo.5130718
- title: "loky"
type: software
version: 3.0.0
doi: 10.5281/zenodo.5770407
GitHub Events
Total
- Watch event: 2
Last Year
- Watch event: 2
Committers
Last synced: almost 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Guilherme Castelão | g****e@c****t | 72 |
Committer Domains (Top 20 + Academic)
castelao.net: 1
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 0
- Total pull requests: 37
- Average time to close issues: N/A
- Average time to close pull requests: 16 days
- Total issue authors: 0
- Total pull request authors: 2
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 34
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- castelao (35)
- castelao-scoot (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
-
Total downloads:
- pypi 68 last-month
-
Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 1
(may contain duplicates) - Total versions: 15
- Total maintainers: 1
pypi.org: oceancolor
Deal with NASA Ocean Color data (search and download)
- Documentation: https://oceancolor.readthedocs.io/
- License: BSD License Copyright (c) 2020-2021, Guilherme Castelão All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-
Latest release: 0.1.0
published over 2 years ago
Rankings
Dependent packages count: 10.0%
Average: 16.8%
Downloads: 18.7%
Dependent repos count: 21.7%
Maintainers (1)
Last synced:
7 months ago
conda-forge.org: oceancolor
- Homepage: https://github.com/castelao/OceanColor
- License: BSD-3-Clause
-
Latest release: 0.0.20
published over 3 years ago
Rankings
Dependent repos count: 34.0%
Average: 46.3%
Stargazers count: 48.3%
Dependent packages count: 51.2%
Forks count: 51.6%
Last synced:
7 months ago
Dependencies
.github/workflows/ci.yml
actions
- actions/cache v3 composite
- actions/checkout v3 composite
- actions/setup-python v2 composite
.github/workflows/publish-to-test-pypi.yml
actions
- actions/checkout v3 composite
- actions/setup-python v3 composite
- pypa/gh-action-pypi-publish release/v1 composite
environment.yml
conda
- click >=8.0
- h5netcdf
- h5py
- hdf5
- loky >=2.9
- netcdf4 >=1.5.4
- numpy >=1.21
- pandas >=1.2
- proj
- pytables
- pytest >=5.4
- python >=3.8
- requests
- xarray >=0.18
docs/requirements.txt
pypi
- OceanColor >=0.0.9
- Sphinx ==4.2.0