blanked_detects: Example Multi-blanked Detection Data

In telemetR: Filter and Analyze Generalised Telemetry Data from Organisms

Example Multi-blanked Detection 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 'blanking_event()' to create events using maximum blanking periods from 3 to 1,500 seconds to reprocess the data. Each row represents a single event which includes >=1 detection(s) per fish per site which occur within the specified maximum blanking period 'mbp_n'.

Usage

blanked_detects

Format

## 'blanked_detects' A data frame with 44,630 rows and 9 columns:

fish_type

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

Tag_Code

The hexadecimal acoustic tag ID code

mbp_n

the maximum blanking period used to create this event

event_change

An increasing number which identifies the event number; one event per fish per site for all detections which occur within 'mbp_n' seconds of the next.

receiver_general_location

The more general geographic name of the location of the receiver

start_time

The Date and Time of the first detection within the event

end_time

The Date and Time of the last detection within the event

n_det

The total number of detections contained within the event

duration

the total length of time of the event in seconds

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