Automated Author ProfileGilligan, Justin
NSW Department Of Primary Industries, Australia
Gilligan, Justin
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: 0.3 (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 contains the eDNA data collected as a part of the UNESCO eDNA expeditions in Marine World Heritage Sites project in 2022-2024. The project was coordinated in collaboration with the Ocean Biodiversity Information System (OBIS) of IOC-UNESCO and the marine programme of the UNESCO World Heritage Center, and funded by the government of Flanders (Kingdom of Belgium). The samples were collected with citizen science eDNA sampling kits, containing a syringe and a filter, and preserved with Longmire's buffer, before sequencing at a central laboratory. Five different biomarkers were analysed, including 12SMifish, Mimammal, Teleo, 16S-Vert and COI markers. The sequences were analysed with the PacMAN pipeline and quality controlled including a validation check by local scientists and site managers as well as compared to existing knowledge on species distributions in OBIS and GBIF. The full sampling protocols and materials are available on the project website (https://www.unesco.org/en/edna-training-materials?hub=66910), and the bioinformatics pipeline is on github (https://github.com/iobis/PacMAN-pipeline). The data can also be explored on the eDNA expeditions dashboard (https://dashboard.ednaexpeditions.org/).
Authors
- Gilligan, Justin ;
- Wood, Caitlin ;
- DiBattista, Joseph ;
- Jain, Fabrice ;
- Suominen, Saara ;
- Provoost, Pieter ;
- Gillard, Elle ;
- Douvere, Fanny ;
- Appeltans, Ward