dat_orgfilt: Filtered detection data with Organism Data

In telemetR: Filter and Analyze Generalised Telemetry Data from Organisms

Filtered detection data with Organism Data

Description

An example dataset of real acoustic telemetry detections of fish at several receivers within the California Central Valley from 2021. These detections have already been been processed using 'prefilter()' and 'add_org()'.

Usage

dat_orgfilt

Format

## 'dat_orgfilt' A data frame with 47,343 rows and 16 columns:

ReceiverSN

The serial number of the detecting receiver

DateTime_Local

the local time of the detection (tz = America/Los_Angeles)

Tag_Code

The hexadecimal acoustic tag ID code

CheckMBP

A calculated field from the prefilter checking the time between acoustic transmissions from the same tag was >0.3secs

TagInFile

A calculated field from the add_fish filter which queries whether the tag code of the detection is associated with an organism.

fish_type

Generally a strain, run, and species of fish (e.g. Nimbus Fall Chinook = Fall-run Chinook Salmon from Nimbus Hatchery)

org_release_Date

The release date and time of the fish

release_location

The coded name of the release site

length

The length of the fish in millimeters

weight

The weight of the fish in grams

tag_weight

The weight of the implanted acoustic tag

tag_model

The model number of the implanted acoustic tag

tag_pulse_rate_interval_nominal

The pulse rate interval (time between transmissions) of the implanted tag, as reported by the manufacturer

tag_life

The expected number of days the tag should continue to transmit, as reported by the manufacturer

CheckDT

A calculated field which checks whether the detection occurred after the release of the fish

CheckBattLife

A calculated field which checks whether the detection occurred before the tag battery is expected to expire (2x tag life)

Source

Data collected by the California Department of Water Resources 2021

telemetR documentation built on April 14, 2023, 12:37 a.m.