Modelling Complex Marine Survey Data Using the Darwin Core Data Package

21 October 2025 Yi-Ming Gan, John Wieczorek, Cecilie Svenningsen, Pablo Deschepper, Charlie Plasman, Anton Van de Putte, Tim Robertson Modelling Complex Marine Survey Data Using the Darwin Core Data Package BROKE-West Fish: introduction https://doi.org/10.1016/j.dsr2.2008.02.015 •Survey •January-March 2006 •Data poor region - CCAMLR Subdivision 58.4.2 of the Southern Ocean •Goal: Baseline assessment Image source: Station grid sampled during BROKE-West https://doi.org/10.1016/j.dsr2.2008.02.015 BROKE-West Fish: introduction https://doi.org/10.15468/nooqmj •1 Occurrence table BROKE-West Fish •Implementing DwC-DP BROKE-West Fish: implementing DwC-DP https://doi.org/10.1016/j.dsr2.2008.02.015 Event Survey Survey Target happened during for a BROKE-West Fish: implementing DwC-DP https://doi.org/10.1016/j.dsr2.2008.02.015 Event Assertion Event Survey Survey Target happened during for a Trawl distance, speed Sampled volume Depth Net opening area Mesh size BROKE-West Fish: implementing DwC-DP https://doi.org/10.1016/j.dsr2.2008.02.015 Event Assertion Event Occurrence Survey Survey Target Identification happened during happened during for a satisfied for a Trawl distance, speed Sampled volume Depth Net opening area Mesh size BROKE-West Fish: implementing DwC-DP https://doi.org/10.1016/j.dsr2.2008.02.015 Event Assertion Event Occurrence Survey Survey Target Identification happened during happened during for a satisfied for a Trawl distance, speed Sampled volume Depth Net opening area Mesh size BROKE-West Fish: implementing DwC-DP https://doi.org/10.1016/j.dsr2.2008.02.015 Individual fish Material Media Material Assertion Trawl distance, speed Sampled volume Depth Net opening area Mesh size BROKE-West Fish •Implementing DwC-DP •DwC-A limitations •Lessons learned BROKE-West Fish: lessons learned •Had to join many tables only to split them into DwC-DP tables •Tools for splitting tables would be useful BROKE-West Fish: lessons learned •It will be extremely difficult to maintain the identifiers (updating dataset) BROKE-West Fish: lessons learned •Helpful to model complex datasets •Preserve the meaning of data BROKE-West Fish •Implementing DwC-DP •DwC-A limitations •Lessons learned •Accessing data from DwC-DP 1. Inferring non-detections 2. Length frequency distribution 3. Diet composition Accessing data from DwC-DP: 1. Inferring non-detections (from detections-only data) https://biodiversity-aq.github.io/broke-west-fish-dwc-dp/explore-dwc-dp.html#non-detections Detections Inferred nondetections Target scope Non-target taxa Humboldt Extension in a nutshell for a for a Material Assertion Event Assertion Event Occurrence Survey Survey Target Identification happened during happened during for a satisfied for a Material for a evidence for a Media Accessing data from DwC-DP: 1. Inferring non-detections (from detections-only data) https://biodiversity-aq.github.io/broke-west-fish-dwc-dp/explore-dwc-dp.html#non-detections Accessing data from DwC-DP: 1. Inferring non-detections https://biodiversity-aq.github.io/broke-west-fish-dwc-dp/explore-dwc-dp.html#non-detections Accessing data from DwC-DP: 2. Fish length frequency distribution EOV Specification Sheet: Fish Abundance and Distribution (Version 2.0) https://goosocean.org/document/17510 accessed 2025-10-07 for a for a for a Material Assertion Event Assertion Event Occurrence Survey Survey Target Identification happened during happened during satisfied for a Material for a evidence for a Media Accessing data from DwC-DP: 2. Fish length frequency distribution Icons “Fish Catching” icon by kukuh amaliawan, ID, “Sonar”icon by By gravisio, ID, “Fish”icon by Dheana Titaura, ID, “Ruler”icon by rizal2109, ID, “Photo”icon by Alice Design, “Scale”icon by fahmionline, ID, “Energy”icon by Dicky Prayudawanto, ID, “Krill”icon by Phạm Thanh Lộc, VN, “Plus”icon by Aybige, “Jar” icon by Alfonso Juan Dillera, PH, “Digestion”icon by Dio Sugiharto, ID from Noun Project Thank you! Yi-Ming Gan | [email protected]