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Dataset supporting the University of Southampton Doctoral Thesis "Global scale tracking of movements, space use and behaviour of marine megafauna to assess impacts of anthropogenic threats for conservation"

Dataset supporting the University of Southampton Doctoral Thesis "Global scale tracking of movements, space use and behaviour of marine megafauna to assess impacts of anthropogenic threats for conservation"
Dataset supporting the University of Southampton Doctoral Thesis "Global scale tracking of movements, space use and behaviour of marine megafauna to assess impacts of anthropogenic threats for conservation"
Dataset supporting the University of Southampton Doctoral Thesis "Global scale tracking of movements, space use and behaviour of marine megafauna to assess impacts of anthropogenic threats for conservation" The data is derived from Chapter 1 analysis of the thesis. The raw data is presented in excel files: MeanSharkSpatialDensity.csv MeanCollisionRiskIndex.csv DerivedOverlapRisk.csv Data stored in Zenodo https://doi.org/10.5281/zenodo.13170642
Zenodo
Womersley, Freya
bd2e3be2-2eb1-4d49-8b17-40f07367f9ff
Womersley, Freya
bd2e3be2-2eb1-4d49-8b17-40f07367f9ff

Womersley, Freya (2024) Dataset supporting the University of Southampton Doctoral Thesis "Global scale tracking of movements, space use and behaviour of marine megafauna to assess impacts of anthropogenic threats for conservation". Zenodo doi:10.5281/zenodo.13170642 [Dataset]

Record type: Dataset

Abstract

Dataset supporting the University of Southampton Doctoral Thesis "Global scale tracking of movements, space use and behaviour of marine megafauna to assess impacts of anthropogenic threats for conservation" The data is derived from Chapter 1 analysis of the thesis. The raw data is presented in excel files: MeanSharkSpatialDensity.csv MeanCollisionRiskIndex.csv DerivedOverlapRisk.csv Data stored in Zenodo https://doi.org/10.5281/zenodo.13170642

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Published date: 31 December 2024

Identifiers

Local EPrints ID: 495127
URI: http://eprints.soton.ac.uk/id/eprint/495127
PURE UUID: 39c47e67-6912-4b2a-b042-9f9994d8c94e

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Date deposited: 29 Oct 2024 17:51
Last modified: 29 Oct 2024 17:51

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