Koster historical biodiversity assessment

URLhttps://ipt.gbif.org.nz/resource?r=koster_historical_assessment
Repository URL https://ipt.gbif.org.nz/
Node EurOBIS
Published2025-02-12 18:52
First registered2025-02-13 14:10
Abstract

Dataset of species records extracted from video footage recorded by remotely operated vehicles (ROVs) in the marine protected area Kosterhavets nationalpark on the Swedish west-coast. The original movies were collected during 1997-2023. This data set is based on videos of 70 transects across slopes and rock walls in the National Park at depths between 7-105 m. Species records were extracted from the movies using Yolov8 model, while depth information was extracted with the easyOCR python package from the ROV video overlays.

Original videos are archived and accessible at Tjärnö Marine Laboratory’s (Univerisity of Gothenburg). The analysis was performed using the Swedish platform for subsea image analysis (www.subsim.se). We acknowledge the support of the technical officers and ROV pilots at Tjärnö Marine Laboratory, in particular Tomas Lundälv, Roger Johannesson, and Joel White.

CitationNilsson C (2025). Koster historical biodiversity assessment. Version 1.5. Wildlife.ai. Occurrence dataset. https://ipt.gbif.org.nz/resource?r=koster_historical_assessment&v=1.5
RightsThis work is licensed under a Creative Commons Attribution (CC-BY 4.0) License
Keywords Occurrence, Machine Observations, YOLOv8, Benthic Invertebrates, Koster, Hard Substrate, Marine Biology, Marine Biodiversity, Marine Ecology, Subtidal Zone, Observation, Machine Observations, YOLOv8, Benthic Invertebrates, Koster, Hard Substrate, Marine Biology, Marine Biodiversity, Marine Ecology, Subtidal Zone
Contacts
Creator Christian Nilsson
University of Gothenburg
Contact Joel White
University of Gothenburg, Tjärnö Marine Laboratory
Contact Christian Nilsson
University of Gothenburg
Metadata Provider Christian Nilsson
University of Gothenburg
Publisher Victor Anton
Wildlife.ai
Principal Investigator Christian Nilsson
University of Gothenburg
Emil Burman
University of Gothenburg
Jurie Germishuys
Combine Control Systems AB
Owner Matthias Obst
University of Gothenburg
Principal Investigator Christian Nilsson
Publisher Victor Anton
Emil Burman
University of Gothenburg
Jurie Germishuys
Owner Matthias Obst

Statistics

Occurrence records 24,182
Species level 15,619
Absence records 48,187
Event records 0
MoF records 0
Sequence records 0
Species 12
Taxa 17
Time range 1997 - 2023

This dataset has appeared in 331 downloads in 2025, with a total of 5,921,681 records.

Data quality

Dropped records

Dropped records 0
Not marine 0
No WoRMS match 0
No coordinates 0
Zero coordinates 0

Taxonomic issues

Marine unsure 0
No accepted name available 0

Missing and invalid fields

Field Missing Invalid
maximumDepthInMeters 72,369 0
minimumDepthInMeters 72,369 0

Spatial issues

Records on land 0
More than 20 km from shore 0
Depth exceeds bathymetric depth 0

Top taxa

IUCN Red List All taxa
Scientific name Records
Sabella pavonina Savigny, 1822
Phylum Annelida > Class Polychaeta
3,291
Serpulidae Rafinesque, 1815
Phylum Annelida > Class Polychaeta
2,854
Ascidia Linnaeus, 1767
Phylum Chordata > Class Ascidiacea
2,039
Protanthea simplex Carlgren, 1891
Phylum Cnidaria > Class Hexacorallia
1,986
Polycarpa pomaria (Savigny, 1816)
Phylum Chordata > Class Ascidiacea
1,922
Actiniidae Rafinesque, 1815
Phylum Cnidaria > Class Hexacorallia
1,894
Alcyonium digitatum Linnaeus, 1758
Phylum Cnidaria > Class Octocorallia
1,566
Ciona intestinalis (Linnaeus, 1767)
Phylum Chordata > Class Ascidiacea
1,549
Molgula Forbes, 1848
Phylum Chordata > Class Ascidiacea
1,183
Phakellia ventilabrum (Linnaeus, 1767)
Phylum Porifera > Class Demospongiae
991

Distribution

Records

1995200020052010201520202025050010001500200025003000350040004500

Composition

detailed (class) simple

Data providers

Name OceanExpert ID
Combine Control Systems AB
University of Gothenburg
University of Gothenburg, Tjärnö Marine Laboratory
Wildlife.ai

Occurrences

scientificNameeventDatedecimalLongitudedecimalLatitudecollectionCodecatalogNumber