The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 19,887 records.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

The table below shows only published versions of the resource that are publicly accessible.

Please be aware, this is an old version of the dataset.  Researchers should cite this work as follows:

Simon A, Basman A (2021): Galiano Island BC Canada Marine Zoology 1893–2021. v1.3. Biodiversity Data Journal. Dataset/Occurrence. https://ipt.pensoft.net/resource?r=galiano-data-paper-part-i&v=1.3

Researchers should respect the following rights statement:

The publisher and rights holder of this work is Biodiversity Data Journal. This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.

This resource has been registered with GBIF, and assigned the following GBIF UUID: 56687a3d-b48f-44e5-b2b8-d55bafff2f33.  Biodiversity Data Journal publishes this resource, and is itself registered in GBIF as a data publisher endorsed by 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 19,000 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.

The personnel involved in the project:

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.

Method step description:

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.