Data · dataset · 2026
Persistent neutralising antibody level in black iris northern gannets after high pathogenicity avian influenza outbreak
Listed in data.InDoRES
The dataset present longitudinal immunological and phenotypic data from northern gannet (Morus bassanus) colonies in the North Atlantic following a 2022 HPAI H5Nx clade 2.3.4.4b outbreak, which caused >50% adult mortality in a large colony.
Description
Key datasets include serological measurements (persistent anti-H5 antibody levels and seroneutralization titers) collected one and two years post-outbreak, linked to a phenotypic marker (black irises) observed in survivors.
Metadata cover survival and recovery indicators (100% of black-iris birds retained immunity at two years), species-specific traits (long-lived seabird, dense breeding, adult survival sensitivity), and analytical context (modelling the demographic impact of long-lasting immunity on population dynamics). The data highlight the epidemiological relevance of phenotypic markers for identifying immune individuals and underscore the conservation implications of adult immunity in long-lived species.
Links
Where it is published
- Dataverse dataset page data.indores.fr/dataset.xhtml?persistentId=doi%3A10.48579%2FPRO%2FXJK8Q8 ↗
landing page · from data indores fr
- DOI doi.org/10.48579/pro/xjk8q8 ↗
DOI / persistent id · from data indores fr
Catalogue records · 1
- Dataverse API data.indores.fr/api/datasets/:persistentId/?persistentId=doi%3A10.48579%2FPRO%… ↗
metadata API · from data indores fr
Topics
- Stated by source
- Earth and Environmental Sciences · Medicine, Health and Life Sciences
- From keywords
- Earth & Environmental Science · Life Sciences · Medicine & Health
- Inferred from text
- Fisheries sciences 69% · Longitudinal study 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| data.InDoRES | doi:10.48579/PRO/XJK8Q8 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3005 | enrichment · data indores fr | taxonomy-embedding@1.0.0 | title+keywords+description (69%) |
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · data indores fr | connector:data_indores_fr@1.0.0 | /subjects |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · data indores fr | connector:data_indores_fr@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · data indores fr | connector:data_indores_fr@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · data indores fr | connector:data_indores_fr@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · data indores fr | connector:data_indores_fr@1.0.0 | /subjects |
| concepts[method].local:method:longitudinal-study | enrichment · data indores fr | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · data indores fr | connector:data_indores_fr@1.0.0 | |
| description | source · data indores fr | connector:data_indores_fr@1.0.0 | /description |
| publication_date | source · data indores fr | connector:data_indores_fr@1.0.0 | |
| title | source · data indores fr | connector:data_indores_fr@1.0.0 | /name |
| updated_date | source · data indores fr | connector:data_indores_fr@1.0.0 | |
| version_label | source · data indores fr | connector:data_indores_fr@1.0.0 |