Published November 20, 2023
| Version 1.01
Dataset
Open
Deep learning to extract the meteorological by-catch of wildlife cameras: Supporting data, models and code
Authors/Creators
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1.
Aarhus University
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2.
University of the Free State
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3.
ETH Zurich
Description
This repository contains the data, models and code to train and deploy deep learning models related to the paper "Deep learning to extract the meteorological by-catch of wildlife cameras" published in the journal Global Change Biology (https://doi.org/10.1111/gcb.17078).
Files
background1.zip
Files
(26.8 GB)
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md5:a7671d2b1bcef3214cc53104c668d2ec
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md5:ee55971c347678bf5c1dd2a2867be15f
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4.2 GB | Preview Download |
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md5:66ec5a31a7fced5eb2623c066f7f1988
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4.3 GB | Preview Download |
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md5:5837d0133a6d09e9882228d15db4fe23
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1.5 kB | Preview Download |
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md5:3811e0a00ff2449e2de95215fa156a40
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675.3 kB | Preview Download |
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md5:82c015a1a42eebcbcba9301080f08eb3
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2.1 GB | Preview Download |
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md5:dc7e6adc42bc5c395a0609d631d92438
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1.0 MB | Preview Download |
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md5:24fe1a1561bfc2f44045709791478e51
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460.9 MB | Preview Download |
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md5:43f0f3d81abd3a915f947ca918ddfdcc
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6.1 kB | Preview Download |
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md5:48023925941c6fbf428eef5104dcf26e
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1.6 GB | Preview Download |
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md5:fba31d833567880562f4bc9028dd6da7
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5.6 GB | Preview Download |
Additional details
Funding
- Swiss National Science Foundation
- Mechanisms underlying the success and impacts on biodiversity and ecosystem functioning of range-expanding species under climate change (RangeX) 193809
- Innovation Fund Denmark
- Mechanisms underlying the success and impacts on biodiversity and ecosystem functioning of range-expanding species under climate change (RangeX) 0156-00022B
- Department of Science and Innovation
- Mechanisms underlying the success and impacts on biodiversity and ecosystem functioning of range-expanding species under climate change (RangeX) DSI/CON 0000/2021