Bat echolocation data recorded using Song Meter SM4 acoustic recorder and Echo Meter Touch 2 bat detector paired with insect prey availability, Grand Canyon National Park, Arizona, 2022
August 7, 2024
These data were compiled as part of an effort to compare the relative data quality and modeling performance of bat data recorded with two different acoustic detectors. The objective of our study was to construct models evaluating the relative predictive quality of data collected by these two detectors. These data represent 48 paired sampling events where acoustic bat data was collected using a Song Meter SM4 Acoustic Recorder and with an Echo Meter Touch 2 bat detector in parallel with sampling insect prey using a light trap. These data were collected in Grand Canyon National Park between April 17 and October 10, 2022. These data were collected by several river guides through a community science program organized by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center. These data can be used to compare the two acoustic methods to each other and relative to insect prey catch rates.
Citation Information
Publication Year | 2024 |
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Title | Bat echolocation data recorded using Song Meter SM4 acoustic recorder and Echo Meter Touch 2 bat detector paired with insect prey availability, Grand Canyon National Park, Arizona, 2022 |
DOI | 10.5066/P1MCPC4T |
Authors | Anya Metcalfe, Theodore J Weller, Theodore Kennedy |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Southwest Biological Science Center - Flagstaff, AZ, Headquarters |
Rights | This work is marked with CC0 1.0 Universal |