resample_zarr

Package for resampling large zarr datasets to lower resolution.

https://github.com/willem0boone/resample_zarr

Science Score: 49.0%

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CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
Found 3 DOI reference(s) in README
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Academic publication links
Links to: zenodo.org
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Scientific vocabulary similarity
Low similarity (6.1%) to scientific vocabulary

Last synced: 6 months ago · JSON representation

Repository

Package for resampling large zarr datasets to lower resolution.

Basic Info

Host: GitHub
Owner: willem0boone
License: mit
Language: Jupyter Notebook
Default Branch: main
Homepage: https://edito-resampling-datasets.readthedocs.io/
Size: 609 KB

Statistics

Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Releases: 3

Created over 1 year ago · Last pushed about 1 year ago

Metadata Files

Readme License Codemeta

README.md

Edito Resampling datasets

About

This package was realised as part of EDITO-INFRA (Grant agreement ID: 101101473): - T7.3: End-to-end demonstrator for aquaculture and maritime industry.

Author: Willem Boone | contact: willem.boone@vliz.be

Goal

Rescale large zarr datasets, processing one batch at a time.

Image source: https://gisgeography.com/wp-content/uploads/2016/02/Resample-425x218.png

How to use

See Read the docs for install & usage.
Notebooks: example .ipynb for downscaling.
pipeline_edito: .py scripts for a full processing.

Owner

Login: willem0boone
Kind: user

Repositories: 1
Profile: https://github.com/willem0boone

CodeMeta (codemeta.json)

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GitHub Events

Total

Release event: 1
Push event: 10
Pull request event: 4
Create event: 1

Last Year

Release event: 1
Push event: 10
Pull request event: 4
Create event: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 0
Total pull requests: 2
Average time to close issues: N/A
Average time to close pull requests: less than a minute
Total issue authors: 0
Total pull request authors: 1
Average comments per issue: 0
Average comments per pull request: 0.0
Merged pull requests: 2
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 0
Pull requests: 2
Average time to close issues: N/A
Average time to close pull requests: less than a minute
Issue authors: 0
Pull request authors: 1
Average comments per issue: 0
Average comments per pull request: 0.0
Merged pull requests: 2
Bot issues: 0
Bot pull requests: 0

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Dependencies

docs/requirements.txt pypi

sphinx ==7.1.2
sphinx-rtd-theme ==1.3.0rc1

pyproject.toml pypi

requirements.txt pypi

Requests ==2.32.3
boto3 ==1.34.80
botocore ==1.34.80
carbonplan_data ==0.4.0
dacite ==1.8.1
intake ==2.0.4
matplotlib *
numcodecs ==0.12.1
numpy ==1.26.4
pandas ==2.2.2
psutil ==5.9.8
rasterio ==1.3.9
s3fs ==2024.3.1
sphinx ==7.1.2
sphinx-rtd-theme ==1.3.0rc1
tenacity ==9.0.0
toml ==0.10.2
xarray ==2024.7.0
xarray_datatree ==0.0.14

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