Skip to main content

Search and analysis of STV Precursor Coincident Datasets

Project description

coincident

Actions Status Documentation Status Available on pypi

DOI

Open in GitHub Codespaces

Identify, curate, process and distribute coincident datasets contained within select archives across a range of representative terrain and landcover types. Such datasets are intended to be used by the NASA STV community for calibration/validation, fusion algorithm development, and discipline-specific scientific analysis.

See here for more information: https://science.nasa.gov/earth-science/decadal-surveys/decadal-stv/coincident-datasets

Acknowledgements

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

coincident-0.4.tar.gz (1.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

coincident-0.4-py3-none-any.whl (85.4 kB view details)

Uploaded Python 3

File details

Details for the file coincident-0.4.tar.gz.

File metadata

  • Download URL: coincident-0.4.tar.gz
  • Upload date:
  • Size: 1.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for coincident-0.4.tar.gz
Algorithm Hash digest
SHA256 eed6a64fc5062bb4d64d24d287b4f9b5f2fd636662d119aa55b0a0c9fd933292
MD5 2465662dfaa4213e18f0d6757c850059
BLAKE2b-256 113a42a7538d8ba8da63921dc50e352743a6b408cf0915e4120923f1cbf4cdab

See more details on using hashes here.

Provenance

The following attestation bundles were made for coincident-0.4.tar.gz:

Publisher: cd.yml on uw-cryo/coincident

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file coincident-0.4-py3-none-any.whl.

File metadata

  • Download URL: coincident-0.4-py3-none-any.whl
  • Upload date:
  • Size: 85.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for coincident-0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 987439f2b7f95367aa1969529b2fc6b4fa11e357513fff86b3d3a139d74fc5dd
MD5 fcc89dc179f9288fa54ecab5e90a931a
BLAKE2b-256 2151242d7819af5716b11627b6056e493cb138d663db1797e18fad9638ad05ec

See more details on using hashes here.

Provenance

The following attestation bundles were made for coincident-0.4-py3-none-any.whl:

Publisher: cd.yml on uw-cryo/coincident

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page