Automated Author ProfileSomhlaba, Sobahle
0009-0006-9506-7364
Somhlaba, Sobahle
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset presents a time series of benthic invertebrate bycatch records collected during pelagic longline fishing operations targeting Patagonian toothfish (Dissostichus eleginoides) in the Prince Edward Islands region of the sub-Antarctic Southern Ocean from 2009 to 2023. The data were obtained from independent scientific observers aboard commercial vessels in accordance with Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) Conservation Measure 22-06, which mandates the reporting of taxa associated with Vulnerable Marine Ecosystems (VMEs). Each record includes an entry number, observer segment unique identifier, vessel unique identifier, observer logbook number, year the record was collected, line segment number, taxonomic code as given in 2009 CCAMLR VME guide, associated taxonomic name, bycatch weight at random segments per fishing line/set, gear type used, number of fishing hooks used at the specific segment, and anonymous vessel number. The dataset comprises 1,817 records spanning 32 benthic morphotypes. The raw dataset has not been validated and therefore dubious records exist. Nonetheless, Filander et al (2025) curated it for reusability and it's intended to support ecosystem-based fisheries management as reflected in CCAMLR Conservation Measure 22-06 and 22-07 notwithstanding the exemptions given to the area by CCAMLR, trait-based vulnerability assessments, and refinement of benthic threshold detection protocols under CCAMLR frameworks.
Authors
- Filander, Zoleka ;
- Somhlaba, Sobahle ;
- Makhado, Azwianewi