Automated Author ProfileMcNicol, I.
University of Edinburgh0000-0003-3073-5668
McNicol, I.
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: 6.8 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data acquired in Epena and Ekolongouma, Republic of Congo, in February 2019, using a Delair DT26x drone, equipped with a Riegl VUX-1UAV scanner, with a ground point density up to 35 per squ.m. used with a local DGPS ground station.Coordinate system WGS84, EPSG:4326
Authors
- Davenport, Ian ;
- McNicol, Iain
Data acquired in Epena and Ekolongouma, Republic of Congo, in February 2019, using a Delair DT26x drone, equipped with a Riegl VUX-1UAV scanner, with a ground point density up to 35 per squ.m. used with a local DGPS ground station.Coordinate system WGS84, EPSG:4326
Authors
- Davenport, Ian ;
- McNicol, Iain
No description available
Authors
- Keane, Aidan ;
- McNicol, Iain ;
- Noe, Christine ;
- Ryan, Casey ;
- Homewood, Katherine
The data consist of woody biomass maps of three study areas - Mabalane, Gurue, and Maruppa in Mozambique. Each area map comprises three Geotiff layers stacked in the order band 1= 2007, band 2 = 2010, band 3 = 2014. Each pixel is an aboveground woody biomass in tonnes of carbon per hectare (ha). For the biomass maps -18.00000 means no data. Due to noise, it is possible to have negative biomass estimates. Individual layers can extracted for year specific analyses. Data were collected as part of the Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project under the ESPA programme
Authors
- Ryan, C. ;
- McNicol, I.