Occurrence records of ten Southern Ocean myctophid species with associated sea surface and depth-specific environmental conditions

Associated Persons Jennifer Freer (Creator); Geraint A. Tarling (Creator); Martin A. Collins (Creator); Martin J. Genner (Creator) This dataset contains occurrence records for ten Southern Ocean myctophid fish species that have been downloaded and cleaned from the online biodiversity repository GBIF...

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Bibliographic Details
Other Authors: Julian Partridge (Creator), Oceans Institute (isManagedBy)
Format: Dataset
Language:unknown
Published: The University of Western Australia
Subjects:
Online Access:https://researchdata.edu.au/occurrence-records-southern-environmental-conditions/1877187
https://doi.org/10.5285/8e59f849-5b93-438e-a5e0-3c65636f9053
Description
Summary:Associated Persons Jennifer Freer (Creator); Geraint A. Tarling (Creator); Martin A. Collins (Creator); Martin J. Genner (Creator) This dataset contains occurrence records for ten Southern Ocean myctophid fish species that have been downloaded and cleaned from the online biodiversity repository GBIF. As well as providing GBIF documented metadata for each occurrence record, this dataset provides environmental conditions - specifically bathymetry, temperature, salinity, dissolved oxygen and net primary productivity - for each record. Both sea-surface and depth-specific values for the temperature, salinity and oxygen variables are given in separate data files. A third data file of corresponding background points and their associated environmental conditions is also provided. Together these data were used as input files for the MaxEnt ecological niche models within the peer reviewed article: Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2020) Estimating circumpolar distributions of lanternfish using 2D and 3D ecological niche models, Marine Ecology Progress Series.,Occurrence records and environmental data were downloaded from online and open access sources (see the Reference section). For the 2D model approach, occurrence and background points were matched to the appropriate environmental conditions using the "prepareSWD" function from the R package "SDMTUNE". Sea surface conditions are matched to all records, regardless of the depth they were caught at. For the 3D model approach, occurrence and background points were matched to the appropriate environmental conditions using the "depth_extract" function from Duffy and Chown (2017) source code available at: https://figshare.com/articles/Duffy_Chown_MEPS12011_model_virtualspecies/4315052. This ensures each occurrence or background point is only matched to the environmental conditions from the depth closest to the depth from which the record came from. File: occurrence_data_2D.csv Volume: 6 megabytes Contents: This file contains the cleaned and ...