Los datos en este registros biológicos recurso han sido publicados como Archivo Darwin Core(DwC-A), el cual es un formato estándar para compartir datos de biodiversidad como un conjunto de una o más tablas de datos. La tabla de datos del core contiene 20.022 registros.

Este IPT archiva los datos, sirviendo así como repositorio de datos. Los datos y metadatos están disponibles para descargar en la sección de descargas. La tabla de versiones muestra otras versiones del recurso que se han hecho accesibles al público y permite el seguimiento de los cambios hechos al recurso en el tiempo.

Descargue la última versión de los datos como un Archivo Darwin Core (DwC-A) o los metadatos como EML o RTF:

La siguiente tabla muestra sólo las versiones publicadas del recurso que son de acceso público.

Los usuarios deben citar este trabajo de la siguiente manera:

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

Los usuarios deben respetar los siguientes derechos de uso:

El publicador y propietario de los derechos de este trabajo es Biodiversity Data Journal. This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.

Este recurso ha sido registrado en GBIF con el siguiente UUID: 56687a3d-b48f-44e5-b2b8-d55bafff2f33.  Biodiversity Data Journal publica este recurso, y está registrado en GBIF como un publicador de datos avalado por 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.

Personas asociadas al proyecto:

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 .

Descripción de la metodología paso a paso:

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.