DeepSData
Dataset guide · 经济与社会科学

A comparative analysis of life-history features and adaptive strategies of Arctic and subarctic seal species - who will win the climate change challenge?

This dataset contains life-history trait data for four seal species (ringed, bearded, harp, harbour) in the Canadian Arctic, published by Fisheries and Oceans Canada, based on Inuit subsistence harvests.

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经济与社会科学Free to access

Key facts

InstitutionFisheries and Oceans Canada
CoverageCanadian Arctic
Time spanSee official page
Scale4 files
LicenseLicense pending verification
AccessOpen Canada

Contents & fields

The dataset includes data from a 2024 study published in Canadian Journal of Zoology, covering species, location, harvest date, sex, age, standard length, girth, fat depth, teste size, parity status, pregnancy status, corpora lutea (n), corpus albicans (n), follicles (n). The data are raw, unfiltered, and unprocessed historical data provided by harvesters, not screened for outliers.

  • species——Seal species
  • location——Sampling location
  • harvest date——Date of harvest
  • sex——Sex
  • age——Age
  • standard length——Standard length
  • girth——Girth
  • fat depth——Fat depth
  • teste size——Teste size
  • parity status——Parity status
  • pregnancy status——Pregnancy status
  • corpora lutea (n)——Number of corpora lutea

Research uses

Suitable for ecological and conservation biology research on range shifts, life-history strategy comparisons, and adaptive evolution of Arctic and subarctic seal species under climate change.

This card was drafted from the source page; institution, coverage, time span, scale, fields and license are subject to the official page (pending human review).

Keywords

Arctic sealslife historyclimate changeCanadaFisheries and Oceans CanadaInuit harvest

Access & license

License: License pending verification | Free to access

Why this is hard to get on your own

When obtaining raw observational data on Arctic seal life history, challenges include scattered data sources, incomplete field descriptions, and the need to screen outliers.

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