Automated Author ProfileJoerg Henning
Joerg Henning
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: 1.3 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset consists of a single Excel spreadsheet, reporting the locations of incidental koala sightings in South East Queensland, Australia between 1997-2013.
The dataset was extracted from the KoalaBASE database, which was developed by the University of Queensland's School of Veterinary in collaboration with the Department of Environment and Science and is available at www.koalabase.com.au. The data which were extracted from KoalaBASE included geo-referenced sightings of live koalas by members of the public between 1997-2013, with records relating to koalas which were injured, dead or euthanised excluded from the analysis.
The aim of the related study was to describe spatial and temporal trends in koala presence, to estimate koala sighting density and to identify biases associated with sightings of koalas by members of the public.
The dataset consists of crowdsourced koala sightings data for South East Queensland, and includes the Local Government Areas (LGAs) of the sightings, and the month and the year that the sightings occurred. A total of 14,076 sightings are included in the dataset. The latitude-longitude data which had been available in the original data extracted from KoalaBASE have been removed from the dataset due to the status of koalas as a threatened species.
Authors
- Dissanayake, Ravi ;
- Joerg Henning ;
- Allavena, Rachel ;
- Stevenson, Mark
This dataset consists of a single Excel spreadsheet, reporting the locations of incidental koala sightings in South East Queensland, Australia between 1997-2013.
The dataset was extracted from the KoalaBASE database, which was developed by the University of Queensland's School of Veterinary in collaboration with the Department of Environment and Science and is available at www.koalabase.com.au. The data which were extracted from KoalaBASE included geo-referenced sightings of live koalas by members of the public between 1997-2013, with records relating to koalas which were injured, dead or euthanised excluded from the analysis.
The aim of the related study was to describe spatial and temporal trends in koala presence, to estimate koala sighting density and to identify biases associated with sightings of koalas by members of the public.
The dataset consists of crowdsourced koala sightings data for South East Queensland, and includes the Local Government Areas (LGAs) of the sightings, and the month and the year that the sightings occurred. A total of 14,076 sightings are included in the dataset. The latitude-longitude data which had been available in the original data extracted from KoalaBASE have been removed from the dataset due to the status of koalas as a threatened species.
Authors
- Dissanayake, Ravi ;
- Joerg Henning ;
- Allavena, Rachel ;
- Stevenson, Mark