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A biologging database of mobulid rays from the Gulf of California, Mexico.
Zilliacus, Kelly M; O'Sullivan, John; Galván-Magña, Felipe; McKinzie, Megan K; Croll, Donald A.
Afiliação
  • Zilliacus KM; Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, California, 95060, USA. kzilli@ucsc.edu.
  • O'Sullivan J; Monterey Bay Aquarium, Monterey, California, 93940, USA.
  • Galván-Magña F; Instituto Politécnico Nacional, Centro Interdisciplinario de Ciencias Marinas, La Paz, Baja California Sur, Mexico.
  • McKinzie MK; Monterey Bay Aquarium Research Institute, Moss Landing, California, 95039, USA.
  • Croll DA; Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, California, 95060, USA.
Sci Data ; 11(1): 33, 2024 Jan 04.
Article em En | MEDLINE | ID: mdl-38177174
ABSTRACT
We initiated a tagging program in 2004 to determine the large-scale and long-term movement patterns of three species of Mobulid Ray (Mobula mobular, M. munkiana, M. thurstoni). Between 2004 and 2014 we deployed 48 pop-up archival (PAT) tags that recorded temperature, pressure, and light level. Pressure and light level records were then used to calculate animal depth and geolocation. Transmitted and when available recovered raw data files from successful deployments (n = 45) were auto-ingested from the manufacturer into the United States Animal Telemetry Network's (ATN) Data Assembly Center (DAC). Through the ATN DAC, all necessary metadata were compiled, dataset was prepped for release, and derived geolocation trajectories (n = 43) were visualized within their public facing data portal. These data and the full metadata records are available for download from the ATN portal as well as permanently archived under the DataONE Research Workspace member node.

Texto completo: 1 Base de dados: MEDLINE País/Região como assunto: Mexico Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE País/Região como assunto: Mexico Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos