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KRICO Recruitment Outcomes Dataset (1994-2025)

Version 2.0.0 supersedes version 1.0.0 and should be used in preference to it. The M1 mortality filter is evaluated at the spawning date, 24 days before release, rather than at the release date as in version 1.0.0. All recruitment outcome statistics differ between the two versions, and fi

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CreatorGourgue, Olivier
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Published2026-09-06
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DOI10.5281/zenodo.22548763
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Downloads25
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Licensecc-by-4.0
File Size39.0 GB
Data TypeDataset
Published2026
Licensecc-by-4.0
Total Views77
Total Downloads25

Version 2.0.0 supersedes version 1.0.0 and should be used in preference to it. The M1 mortality filter is evaluated at the spawning date, 24 days before release, rather than at the release date as in version 1.0.0. All recruitment outcome statistics differ between the two versions, and files from the two versions must not be combined in a single analysis. Files in this version carry the global attributes m1_spawning_offset_days, m1_spawning_date and m1_sic_source; files in version 1.0.0 carry none.

Per-particle recruitment outcomes for Antarctic krill (Euphausia superba) larvae, covering 32 spawning years (1994–2025) across CCAMLR Statistical Areas 48.1–48.6 and 88.3. Output from a 3D Lagrangian particle tracking hindcast (Parcels) forced by GLORYS12v1 ocean reanalysis.

Each particle is classified into one of eight mutually exclusive outcome states:

  • success: reached larval stage FIV on shelf-slope (< 2000 m) at winter sea-ice advance
  • killed_M1: ice at spawning (SIC ≥ 80% at the release position on the spawning date, 24 days before release)
  • killed_M4: calyptopis starvation (more than 10 consecutive days SIC > 40% during calyptopis window)
  • killed_M5_no_FIV: under-developed at sea-ice advance (stage < FIV)
  • killed_M5_not_on_shelf: off-shelf at sea-ice advance (bathymetry ≥ 2000 m)
  • killed_M6_no_advance: no winter ice encountered within 200-day tracking window
  • censored: alive at tracking cutoff with rising SIC (provisional classification)
  • exited_domain: deleted at model domain boundary

M1 is the only filter that acts before the trajectory begins. It is evaluated by reading the GLORYS12v1 sea-ice concentration field directly at the release position on the spawning date, by nearest-neighbour sampling; the remaining sea-ice filters read concentration interpolated along the trajectory.

Dataset structure: 32 tar.gz archives (one per spawning year, 1994–2025), each containing 120 NetCDF4 files (121 in leap years), one per release date, named YYYY_MM_DD.nc. Each file contains ~500,000 particle records with release position/depth, fate position/depth, travel time, path length, temperature trajectory, and outcome flag.

For reproducibility, code, and methodology details, see krico-post-production GitHub / Zenodo.

Produced in support of Gourgue et al. (2026), available as a preprint at https://doi.org/10.22541/essoar.15009565/v1.

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KRICO Recruitment Outcomes Dataset (1994-2025) (Full Dataset)39.0 GB
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Files are hosted on the source repository. Click download to access the full dataset.

Gourgue, Olivier (2026). KRICO Recruitment Outcomes Dataset (1994-2025). https://doi.org/10.5281/zenodo.22548763