Long-term video surveillance and automated analyses of hibernating bats in Virginia and Indiana, winters 2011-2014.
July 7, 2017
This data release includes video files and image-processing results used to conduct the analyses of hibernation patterns in groups of bats reported by Hayman et al. (2017), "Long-term video surveillance and automated analyses reveal arousal patterns in groups of hibernating bats. Thermal-imaging surveillance video cameras were used to observe little brown bats (Myotis lucifugus) in a cave in Virginia and Indiana bats (M. sodalis) in a cave in Indiana during three winters between 2011 and 2014. There are 740 video files used for analysis (Analysis videos), organized into 7 folders by state/site and winter. Total size of the video data set is 14.1 gigabytes. Each video file in this analysis set represents one 24-hour period of observation, time-lapsed at a rate of one frame per 30 seconds of real time (video plays at 30 frames per second). A folder of illustrative videos is also included, which shows all of the analysis days for one winter of monitoring merged into a single video clip, time-lapsed at a rate of one frame per two hours of real time. The associated image-processing results are included in 7 data files, each representing computer derived values of mean pixel intensity in every 10th frame of the 740 time-lapsed video files, concatenated by site and winter of observation. Details on the format of these data, as well as how they were processed and derived are included in Hayman et al. (2017) and with the project metadata on Science Base.
Hayman, DTS, Cryan PM, Fricker PD, Dannemiller NG. 2017. Long-term video surveillance and automated analyses reveal arousal patterns in groups of hibernating bats. Methods Ecol Evol. 2017;00:1-9. https://doi.org/10.1111/2041-210X.12823
Hayman, DTS, Cryan PM, Fricker PD, Dannemiller NG. 2017. Long-term video surveillance and automated analyses reveal arousal patterns in groups of hibernating bats. Methods Ecol Evol. 2017;00:1-9. https://doi.org/10.1111/2041-210X.12823
Citation Information
Publication Year | 2017 |
---|---|
Title | Long-term video surveillance and automated analyses of hibernating bats in Virginia and Indiana, winters 2011-2014. |
DOI | 10.5066/F75X27DH |
Authors | David T.S. Hayman, Paul Cryan, Paul D. Fricker, Nicholas G. Dannemiller |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Fort Collins Science Center |
Rights | This work is marked with CC0 1.0 Universal |
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Long-term video surveillance and automated analyses reveal arousal patterns in groups of hibernating bats Long-term video surveillance and automated analyses reveal arousal patterns in groups of hibernating bats
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Long-term video surveillance and automated analyses reveal arousal patterns in groups of hibernating bats Long-term video surveillance and automated analyses reveal arousal patterns in groups of hibernating bats
Understanding natural behaviours is essential to determining how animals deal with new threats (e.g. emerging diseases). However, natural behaviours of animals with cryptic lifestyles, like hibernating bats, are often poorly characterized. White-nose syndrome (WNS) is an unprecedented disease threatening multiple species of hibernating bats, and pathogen-induced changes to host behaviour...
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David T. S. Hayman, Paul M. Cryan, Paul D. Fricker, Nicholas G. Dannemiller