Skip to main content

Acoustic backscattering models used in aquatic ecosystem research

Project description

echoSMs

Static badge Static badge Build docs python

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-0.1.11.tar.gz (2.6 MB view details)

Uploaded Source

Built Distribution

echosms-0.1.11-py3-none-any.whl (36.9 kB view details)

Uploaded Python 3

File details

Details for the file echosms-0.1.11.tar.gz.

File metadata

  • Download URL: echosms-0.1.11.tar.gz
  • Upload date:
  • Size: 2.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for echosms-0.1.11.tar.gz
Algorithm Hash digest
SHA256 7f1e7417dd964f91f33325cfdf874476c3ee94230a20ced1020af02a74f6328d
MD5 1e2a4307fb180ee2c9e848b0a528aa3a
BLAKE2b-256 be1258020fbe58782b9d698daefe1c28a192416f0ad1eca37f08963e9f1879c5

See more details on using hashes here.

File details

Details for the file echosms-0.1.11-py3-none-any.whl.

File metadata

  • Download URL: echosms-0.1.11-py3-none-any.whl
  • Upload date:
  • Size: 36.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for echosms-0.1.11-py3-none-any.whl
Algorithm Hash digest
SHA256 b6b2cf724bb9705e5511cea35d56bc796fb0603889fe856f196b7907edbe3171
MD5 33b724d8dc437040ec4ee6e610aa2488
BLAKE2b-256 dc5b7b714d6f04db8fec42d3caa916ca99769a5d87290bdf9db62d13b0dba97a

See more details on using hashes here.

Supported by

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