Les données de cette ressource occurrence ont été publiées sous forme d'une Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant qu'ensemble d'un ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 20 022 enregistrements.

Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées des ressources sont disponibles au téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.

Téléchargez la dernière version de la ressource en tant qu'Archive Darwin Core (DwC-A), ou les métadonnées de la ressource au format EML ou RTF :

Le tableau ci-dessous n'affiche que les versions publiées de la ressource accessibles publiquement.

Les chercheurs doivent citer cette ressource comme suit:

Simon A, Basman A (2022): Galiano Island BC Canada Marine Zoology 1893–2021. v1.5. Biodiversity Data Journal. Dataset/Occurrence. https://ipt.pensoft.net/resource?r=galiano-data-paper-part-i&v=1.5

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est Biodiversity Data Journal. This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.

Cette ressource a été enregistrée sur le portail GBIF, et possède l'UUID GBIF suivante : 56687a3d-b48f-44e5-b2b8-d55bafff2f33.  Biodiversity Data Journal publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du Participant Node Managers Committee.

Occurrence; Observation; Occurrence

Location: Galiano Island, British Columbia, Canada. For a GeoJSON file precisely designating the study area please see: https://github.com/IMERSS/imerss-bioinfo/blob/8df8a3847aa71e5c28a57f558204ea58e42c15c2/data/Galiano/Galiano_Island_Project_Boundary_Chu_final_2021-02-23.json

Taxonomic groups covered include: Porifera, Cnidaria, Ctenophora, Nemertea, Platyhelminthes, Chaetognatha, Mollusca, Annelida, Sipuncula, Arthropoda, Entoprocta, Brachiopoda, Bryozoa, Phoronida, Echinodermata, Chordata

Over 20,000 marine animal occurrence records from waters around Galiano Island, BC, Canada, dating from 1893 to 2021. Occurrences include dive records collected through the Pacific Marine Life Surveys, museum voucher specimens, ecological data, and crowd-sources observations from the BC Cetacean Sightings Network and iNaturalist platform.

Les personnes impliquées dans le projet:

Sampling procedures vary according to each data source, including systematic dive records (Pacific Marine Life Surveys), ecological data collected by ROV (Chu and Leys 2010, Chu and Leys 2012), museum voucher specimens (Canadian Museum of Nature, Royal British Columbia Museum), crowd-sourced citizen science observations (British Columbia Cetacean Sightings Network and iNaturalist observations on the Biodiversity Galiano Island Project), and additional reports from the literature (Agassiz 1862, McMurrich 1921, Erickson 2000). Museum specimens may represent collections made through heterogenous methods. All raw catalogues, processing scripts, and processed catalogues contributing to this paper have been tagged in GitHub at https://github.com/IMERSS/imerss-bioinfo/tree/data-paper-i-final .

Description des étapes de la méthode:

1. The data catalogues contributing to this dataset have been normalised, aligned, corrected, and rendered into visualisations by a collection of open source data processing scripts written in JavaScript. These scripts operate in the following stages: 1. The columns of each source catalogue, imported as CSV, are mapped onto a common core of fields drawn from a subset of the Darwin Core standard, as well as other project-specific fields 2. The taxon name is mapped onto a core backbone by means of a taxon resolution file which resolves preferred taxon names and accounts for typographical errors 3. A dataset id is assigned to every source catalogue, and they are then combined into a single master catalogue  4. This catalogue is filtered to include only the taxa of interest—marine fauna 5. Private or obscured coordinates held in project-specific fields are copied into the principal georeferencing fields 6. A patch of georeferencing corrections is then applied to the resulting coordinates, together with curational notes motivating the corrections 7. The resulting observations are then filtered by the polygon representing the project area 8. The resulting output produces two consolidated CSV files, a catalogue of all observations, and a master summary file 9. The master summary file is then divided into phyla according to the checklist divisions in this paper, for curation by subject matter experts—these are exported into a Google Sheets representation where they may edit them live 10. The subject matter experts add and check authorities for the taxa, add curation notes and resolve taxonomic discrepancies 11. After curation, the Google Sheets are then re-ingested, combined, and converted back into CSV, and compared with the original summary produced at Step 8 12. Any discrepancies between these summaries are fed into the taxon resolution file at Step 2, and, where appropriate, circulated amongst the managers of the source catalogues to incorporate corrections they find desirable 13. The process is then rerun from Step 1 until repeated passes of curation and reconciliation give rise to no further discrepancies at Step 12 The files output at Step 8 of the pipeline form the basis of the map-based data visualisations referenced from this paper, as well our our Darwin Core data submission to the Global Biodiversity Information Facility.