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This project contains the set of NodeBooks that OTN data managers use to prepare raw acoustic telemetry data and metadata for ingestion into an OTN Database or Node. The operation of these workflows is detailed in the Node Manager Training curriculum, https://ocean-tracking-network.github.io/node-manager-training/ Data curated in this way will feed an OTN Database Node, currently deployable via https://gitlab.oceantrack.org/otndc/otn-runner/ and is subjected to periodic verification by OTN data managers using the DB Verification workflows: https://gitlab.oceantrack.org/otn-partner-nodes/verification-methods and https://gitlab.oceantrack.org/otn-partner-nodes/full-database-checks

A database, web front-end, and REST API for managing deployment, platform, instrument, and sensor metadata.

resonATe, OTN's acoustic data analysis library for Python, and glatos, an R package mantained by the Hammond Bay lab on the Great Lakes, are two options for simplifying the cleaning and visualization of acoustic telemetry datasets.

resonATe, OTN's acoustic data analysis library for Python, and glatos, an R package mantained by the Hammond Bay lab on the Great Lakes, are two options for simplifying the cleaning and visualization of acoustic telemetry datasets.

testing a vtrack workflow using glatos and FACT data

Lab for Fall 2017's BIOL 4323 : getting started accessing and analyzing acoustic telemetry data in R using JuPyTeR notebooks for reproducability.

Information for the OTN workshop in June 2015. This workshop will focuss on demonstrating how to visualise and analyse OTN data in R. It will include tutorials on how to use basic GIS tools in R and a section on advance methods with TMB.