Skip to main content

Acoustic backscattering models used in aquatic ecosystem research

Project description

echoSMs

Static badge Static badge python

GitHub Actions Workflow Status GitHub Actions Workflow Status

Making acoustic scattering models available to fisheries and plankton scientists via the world wide web

EchoSMs provides acoustic scattering models for fisheries and plankton acoustic research. By providing the models in an open-access and open-source software language (e.g, Python, R) and providing morphological and anatomical data in open data formats (e.g., HDF5, relational databases), the proper and appropriate use of these models can extend to the entire fisheries and plankton acoustics’ community.

Install

EchoSMs is available on the python Package Index as echosms and will be available on conda-forge in the future.

Documentation

EchoSMs documentation is available here.

Contributing

We welcome all contributions to echoSMs, be it code, test cases, bug reports, discussion of models, etc. Guidance on this is available in the echoSMs documentation.

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

echosms-0.6.4.tar.gz (3.2 MB view details)

Uploaded Source

Built Distribution

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

echosms-0.6.4-py3-none-any.whl (295.5 kB view details)

Uploaded Python 3

File details

Details for the file echosms-0.6.4.tar.gz.

File metadata

  • Download URL: echosms-0.6.4.tar.gz
  • Upload date:
  • Size: 3.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for echosms-0.6.4.tar.gz
Algorithm Hash digest
SHA256 104a2bc1d78f408e5c518b39fc196c455b8863b9dcabf95a56531390a7c94828
MD5 df7a648d1966db04efb01814bb60cb53
BLAKE2b-256 3375101b6084f3a11df3f16de7cdec6593e9b7477a38e711e7fc136101e1782d

See more details on using hashes here.

Provenance

The following attestation bundles were made for echosms-0.6.4.tar.gz:

Publisher: publish-to-pypi.yml on ices-tools-dev/echoSMs

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

File details

Details for the file echosms-0.6.4-py3-none-any.whl.

File metadata

  • Download URL: echosms-0.6.4-py3-none-any.whl
  • Upload date:
  • Size: 295.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for echosms-0.6.4-py3-none-any.whl
Algorithm Hash digest
SHA256 5c43f581c2e202c8e07d18b1bab0a43483ef50ebba524308383551139756a704
MD5 81c8754594b76dd0786686394d77f2b4
BLAKE2b-256 f638d8c2c8112c2774208f0e0c8012b14aa248a27bcee8b8355308aa295bb1af

See more details on using hashes here.

Provenance

The following attestation bundles were made for echosms-0.6.4-py3-none-any.whl:

Publisher: publish-to-pypi.yml on ices-tools-dev/echoSMs

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