Data

Data for Chapter 3: No Model Fits All: Dynamic Ensemble Species Distribution Model Reveals Seasonal Patterns of Essential Habitat Use by Ocean Giants in the Southwest Pacific

James Cook University
Miller, Ingo ; Erdmann, Mark ; Pierce, Simon ; Fitzpatrick, Richard ; Hoopes, Lisa ; Dove, Alistair ; Barnett, Adam
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25903/d1qj-e244&rft.title=Data for Chapter 3: No Model Fits All: Dynamic Ensemble Species Distribution Model Reveals Seasonal Patterns of Essential Habitat Use by Ocean Giants in the Southwest Pacific&rft.identifier=10.25903/d1qj-e244&rft.publisher=James Cook University&rft.description=GENERAL INFORMATION Title of Dataset: Data for: No Model Fits All: Dynamic Ensemble Species Distribution Model Reveals Seasonal Pattern of Essential Habitat Use by Ocean Giants in the Southwest Pacific Author Information Name: Ingo Miller Institution: Biopixel Oceans Foundation, James Cook University Address: 14-88 McGregor Rd, Cairns, 4870 Qld, Australia Email: [email protected] DATA & FILE OVERVIEW File List: ext_val_data_repo.csv This file contains whale shark sightings used for external model validation. Sightings were acquired from several sources, including public databases, social media, and anecdotal reports from members of the public including fishers and tourism operators, as described in Miller et al. (2025). The latter dataset was extended by sightings acquired from the Global Biodiversity Information Facility (https://www.gbif.org) and the Ocean Biodiversity Information System (https://obis.org) model_data_repo.csv This file contains whale shark tracks (state-space-modelled, movemement-persistence filtered, thinned) used for habitat suitability modelling. Predictor varibales were extracted as described in main article. REFERENCES: Miller, I.B., Fitzpatrick, R., Abrantes, K.G., Norman, B., Pierce, S.J., Erdmann, M.V., Hoopes, L.A., Dudgeon, C., Dunbabin, M.D., Dove, A.D.M., Beaman, R.J., Reynolds, S.D., Rohner, C., Williams, S.M., Paton, D., Lewis, S., & Barnett, A. (2025). The Needle in the Haystack: Uncovering the First Whale Shark (Rhincodon typus) Aggregation in the Coral Sea. Ecology and Evolution, 15(6). https://doi.org/10.1002/ece3.71552 Software/equipment used to create/collect the data: R Python Wildlife Computers (WC) GPE3 WC Tag Agent WC MK10 Host Software/equipment used to manipulate/analyse the data: R Python &rft.creator=Miller, Ingo &rft.creator=Erdmann, Mark &rft.creator=Pierce, Simon &rft.creator=Fitzpatrick, Richard &rft.creator=Hoopes, Lisa &rft.creator=Dove, Alistair &rft.creator=Barnett, Adam &rft.date=2025&rft.relation=https://doi.org/10.1111/ddi.70186&rft.coverage=140,-40 170,-40 170,0 140,0 140,-40&rft.coverage=east=143.867978; north=-12.13332; projection=WGS84&rft_rights=&rft_rights=CC BY 4.0: Attribution 4.0 International http://creativecommons.org/licenses/by/4.0&rft_subject=movement ecology&rft_subject=rhicodon typus&rft_subject=habitat suitability&rft_subject=species distribution&rft_subject=state space modelling&rft_subject=Marine and estuarine ecology (incl. marine ichthyology)&rft_subject=Ecology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Biogeography and phylogeography&rft_subject=Evolutionary biology&rft_subject=Marine biodiversity&rft_subject=Marine systems and management&rft_subject=ENVIRONMENTAL MANAGEMENT&rft_subject=Expanding knowledge in the biological sciences&rft_subject=Expanding knowledge&rft_subject=EXPANDING KNOWLEDGE&rft.type=dataset&rft.language=English Access the data
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GENERAL INFORMATION Title of Dataset: Data for: No Model Fits All: Dynamic Ensemble Species Distribution Model Reveals Seasonal Pattern of Essential Habitat Use by Ocean Giants in the Southwest Pacific Author Information Name: Ingo Miller Institution: Biopixel Oceans Foundation, James Cook University Address: 14-88 McGregor Rd, Cairns, 4870 Qld, Australia Email: [email protected] DATA & FILE OVERVIEW File List: ext_val_data_repo.csv This file contains whale shark sightings used for external model validation. Sightings were acquired from several sources, including public databases, social media, and anecdotal reports from members of the public including fishers and tourism operators, as described in Miller et al. (2025). The latter dataset was extended by sightings acquired from the Global Biodiversity Information Facility (https://www.gbif.org) and the Ocean Biodiversity Information System (https://obis.org) model_data_repo.csv This file contains whale shark tracks (state-space-modelled, movemement-persistence filtered, thinned) used for habitat suitability modelling. Predictor varibales were extracted as described in main article. REFERENCES: Miller, I.B., Fitzpatrick, R., Abrantes, K.G., Norman, B., Pierce, S.J., Erdmann, M.V., Hoopes, L.A., Dudgeon, C., Dunbabin, M.D., Dove, A.D.M., Beaman, R.J., Reynolds, S.D., Rohner, C., Williams, S.M., Paton, D., Lewis, S., & Barnett, A. (2025). The Needle in the Haystack: Uncovering the First Whale Shark (Rhincodon typus) Aggregation in the Coral Sea. Ecology and Evolution, 15(6). https://doi.org/10.1002/ece3.71552 Software/equipment used to create/collect the data: R Python Wildlife Computers (WC) GPE3 WC Tag Agent WC MK10 Host Software/equipment used to manipulate/analyse the data: R Python

Created: 29 11 2025

Data time period: 24 10 2018 to 30 06 2025

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140,-40 170,-40 170,0 140,0 140,-40

155,-20

143.86798,-12.13332

143.867978,-12.13332

dcmiPoint: east=143.867978; north=-12.13332; projection=WGS84

Subjects
Biological Sciences | Biogeography and Phylogeography | Environmental Management | Expanding Knowledge | Ecology | Evolutionary Biology | Expanding Knowledge | Expanding Knowledge in the Biological Sciences | Marine and Estuarine Ecology (Incl. Marine Ichthyology) | Marine Biodiversity | Marine Systems and Management | habitat suitability | movement ecology | rhicodon typus | species distribution | state space modelling |

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Identifiers
  • DOI : 10.25903/D1QJ-E244
  • Local : researchdata.jcu.edu.au//published/6d3d41805cd011f1a1c6a3b6b3574632
ACN 633 798 857