v1.2.4

What's Changed

• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci[bot] in #207
• broadband offset note by @jdduprey in #206
• Add JupyterHub suppport for get_acoustic_data by @John-Ragland in #208

Full Changelog: v1.2.3...v1.2.4

v1.2.3

What's Changed

• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #194
• removing depracated objects and methods by @John-Ragland in #197
• added option for 1ms buffer by @John-Ragland in #196
• unit test badge deadlink by @jdduprey in #198
• add python 3.13 to unit tests by @John-Ragland in #203
• update base urls for hydrophones by @John-Ragland in #202
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #205

New Contributors

• @jdduprey made their first contribution in #198

Full Changelog: v1.2.2...v1.2.3

v1.2.2 Release

What's Changed

• updated pypi GHA by @John-Ragland in #188
• added netcdf4 dependancy by @John-Ragland in #189
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #191
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #192
• updated tests by @John-Ragland in #193
• Updating gapless_merge function by @John-Ragland in #190

Full Changelog: v1.2.1...v1.2.2

v1.2.1

This release contains many updates. Some of the major updates include:

• repackage to better align with scientific python community guidelines
• updated documentation
• added some ability to better handle fragmentation (this will require further attention in future releases)
• support of OBS data pull

What's Changed

• update to allow all 200 Hz seismometers by @John-Ragland in #162
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #164
• add .readthedocs.yaml and updated versioning to conf.py by @John-Ragland in #165
• updated bug with docs versioning by @John-Ragland in #166
• hard coded docs release by @John-Ragland in #167
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #169
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #171
• Pull updates from main into handle_fragmentation by @John-Ragland in #175
• added ability to check fragmentation inside mseed file by @John-Ragland in #163
• add updates from main by @John-Ragland in #176
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #179
• added frag handling by @John-Ragland in #168
• Clean packaging and migrate to hatch by @John-Ragland in #182
• Overhaul of Documentation by @John-Ragland in #184
• update entry_point branch by @John-Ragland in #185
• Add entry point for download script by @John-Ragland in #186

Full Changelog: v1.2.0...v1.2.1

OOIPy v1.2.0

Major Changes:

• changed spectrogram and psd outputs to be xarray objects instead of custom objects
• added a scripts section for programmatically downloading hydrophone data to disk.

Minor Changes

• updated documentation
• updated to require python >= 3.9
• updated demo notebooks
• added progress bar as verbose option to get_acoustic_data

OOIPy v1.1.5

What's Changed

• added calibration for seismometer channels for LF hydrophones by @John-Ragland in #101
• small accumulated changes over the year by @John-Ragland in #113
• fixed spectrogram bug by @John-Ragland in #116
• Bug with get_acoustic_data fixed by @John-Ragland in #119
• Fix repo reference for pypi workflow by @lsetiawan in #121

Full Changelog: v1.1.4...v1.1.5

OOIPy v1.1.4: A Python toolbox designed to aid in the scientific analysis of Ocean Observatories Initiative (OOI) data

The package provides the following functionality:

• accessing OOI broadband and low frequency hydrophone data of the Coastal Endurance and Regional Cabled array
• accessing OOI CTD data of the Coastal Endurance and Regional Cabled array
• computing and visualizing spectrograms and power spectral density (PSD) estimates for acoustic data using the Bartlett/Welch method
• computing and visualizing temperature, sound speed, salinity, pressure, density, and conductivity profiles from CTD data

documentation can be found at https://ooipy.readthedocs.io/en/latest/

Version 1.1.4 updates:

• bug fix with numpy dependency
• several other small bug fixes

OOIPy v1.1.3: A Python toolbox designed to aid in the scientific analysis of Ocean Observatories Initiative (OOI) data

The package provides the following functionality:

• accessing OOI broadband and low frequency hydrophone data of the Coastal Endurance and Regional Cabled array
• accessing OOI CTD data of the Coastal Endurance and Regional Cabled array
• computing and visualizing spectrograms and power spectral density (PSD) estimates for acoustic data using the Bartlett/Welch method
• computing and visualizing temperature, sound speed, salinity, pressure, density, and conductivity profiles from CTD data

documentation can be found at https://ooipy.readthedocs.io/en/latest/

Version 1.1.3 updates:

• several bug fixes and improvements in documentation
• fixed calibration for Axial Base broadband hydrophone

OOIPy v1.1.2: A Python toolbox designed to aid in the scientific analysis of Ocean Observatories Initiative (OOI) data

The package provides the following functionality:

• accessing OOI broadband and low frequency hydrophone data of the Coastal Endurance and Regional Cabled array
• accessing OOI CTD data of the Coastal Endurance and Regional Cabled array
• computing and visualizing spectrograms and power spectral density (PSD) estimates for acoustic data using the Bartlett/Welch method
• computing and visualizing temperature, sound speed, salinity, pressure, density, and conductivity profiles from CTD data

documentation can be found at https://ooipy.readthedocs.io/en/latest/

Version 1.1.2 updates:

• bug fixes in spectrogram computation and package installation

OOIPy v1.1.1: A Python toolbox designed to aid in the scientific analysis of Ocean Observatories Initiative (OOI) data

The package provides the following functionality:

• accessing OOI broadband and low frequency hydrophone data of the Coastal Endurance and Regional Cabled array
• accessing OOI CTD data of the Coastal Endurance and Regional Cabled array
• computing and visualizing spectrograms and power spectral density (PSD) estimates for acoustic data using the Bartlett/Welch method
• computing and visualizing temperature, sound speed, salinity, pressure, density, and conductivity profiles from CTD data

documentation can be found at https://ooipy.readthedocs.io/en/latest/

Version 1.1.1 updates:

• bug fixes in multiprocessing functions and hydrophone sensitivity correction