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

Creators

  • 1. ROR icon Aarhus University
  • 2. ROR icon University of the Free State
  • 3. ROR icon 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

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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