Description
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.
Enregistrements de données
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 72 369 enregistrements.
Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour 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.
Versions
Le tableau ci-dessous n'affiche que les versions publiées de la ressource accessibles publiquement.
Comment citer
Les chercheurs doivent citer cette ressource comme suit:
Nilsson C (2024). Koster historical biodiversity assessment. Version 1.4. Wildlife.ai. Occurrence dataset. https://ipt.gbif.org.nz/resource?r=koster_historical_assessment&v=1.4
Droits
Les chercheurs doivent respecter la déclaration de droits suivante:
L’éditeur et détenteur des droits de cette ressource est Wildlife.ai. Ce travail est sous licence Creative Commons Attribution (CC-BY) 4.0.
Enregistrement GBIF
Cette ressource a été enregistrée sur le portail GBIF, et possède l'UUID GBIF suivante : 51d0bd32-e215-45ea-a04d-47a474336125. Wildlife.ai publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du GBIF New Zealand.
Mots-clé
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
- Fournisseur Des Métadonnées ●
- Créateur ●
- Personne De Contact ●
- Chercheur Principal
- Researcher
- Anders Zornsgatan 34B
- 0730682795
https://orcid.org/0009-0005-6356-2152
- Personne De Contact
- Research Engineer
- Laboratorievägen 10
- +46 31-786 96 03
- Programmeur
- Researcher
- Programmeur
- Data Scientist
- Västra Hamngatan 8
- Propriétaire
- Researcher
- Medicinaregatan 7B
- +4676-618 38 27
Couverture géographique
Data collected from the area west of the island of Yttre Vattenholmen. For additional information, feel free to contact authors.
| Enveloppe géographique | Sud Ouest [58,9, 11,1], Nord Est [58,9, 11,1] |
|---|
Couverture temporelle
| Date de début / Date de fin | 1997-08-27 / 2023-10-09 |
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Données sur le projet
Biodiversity assessment of distribution size and relative abundance of 17 unique benthic invertebrate taxa. Assessment made by applying a YOLOv8 model trained on image data from ROV footage of the study site to 70 ROV transects from 1997-2023.
| Titre | Depth Learning - Using Deep-Learning Object Detection Software to Investigate Spatiotemporal Vertical Ecological Trends on a Submarine Canyon Wall in Northern Skagerrak |
|---|---|
| Description du domaine d'étude / de recherche | Rock walls and slopes from 7-105m in the area west of the island of Yttre Vattenholmen. |
Les personnes impliquées dans le projet:
Méthodes d'échantillonnage
Sampling was performed by ROV from Tjärnö Marine Laboratory. Transects were taken for various purposes and are non-standardized. Thus, time spent at each depth and distance to substrate may vary. Transects are defined as consecutive filming of the study site until departure and may have depths removed if the ROV was not filming the habitat of interest for this study (hard substrate) at these depths. Additionally, inconsistency may exist between substrate depths and ROV depths where the ROV was not filming perpendicular to the seafloor. For further information, contact Joel White or Christian Nilsson.
| Etendue de l'étude | Archived ROV footage from the area west of Yttre Vattenholmen was utilized. All footage available with sufficient depth information was utilized. Footage was collected for various purposes, therefore sampling frequency & temporal resolution varies. |
|---|---|
| Contrôle qualité | Average maxcount per depth (organismQuantity) was added to provide insight regarding false positives. If individualCount for an observation is significantly higher than organismQuantity a false positive may be possible. For further information, contact Christian Nilsson. |
Description des étapes de la méthode:
- ROV depth for each image frame of videos was extracted from the video overlay using the EasyOCR python package. Depth was connected to YOLOv8 model observations through frame number in R, after which maximum and mean individual count was summarized from each transect for each taxon.
Citations bibliographiques
- Koster historical invertebrate model - SUBSIM 17tx. (model used to generate annotations) https://doi.org/10.5281/zenodo.13589902
Métadonnées additionnelles
| Identifiants alternatifs | 51d0bd32-e215-45ea-a04d-47a474336125 |
|---|---|
| https://ipt.gbif.org.nz/resource?r=koster_historical_assessment |