Automated Author ProfileEvans, J.G.
Centre for Ecology & Hydrology
Evans, J.G.
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 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at a short rotation coppice willow plantation in Lincolnshire, UK. Turbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique between 9 January 2014 and 26 November 2017. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations.This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
Authors
- Morrison, R. ;
- Cooper, H.M. ;
- Rowe, R.L. ;
- Evans, J.G. ;
- McNamara, N.P.
The dataset contains time series observations of meteorological and soil physics variables logged at one minute time resolution at three Land Surface Stations in India. The three INCOMPASS Land Surface Stations were located at: (1) agricultural land in Southern Karnataka (Berambadi); (2) the University of Agricultural Sciences in Dharwad in northern Karnataka; and (3) a semi-natural grassland at the Indian Institute of Technology in Kanpur (IITK), Uttar Pradesh.Observations were collected under the Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea (INCOMPASS) Project between January 2016 and January 2019.
Authors
- Morrison, R. ;
- Angadi, S.S. ;
- Cooper, H.M. ;
- Evans, J.G. ;
- Rees, G. ;
- Sekhar, M. ;
- Taylor, C. ;
- Tripathi, S.N. ;
- Turner, A.G.
The dataset contains time series observations of turbulent surface-atmosphere exchanges of sensible heat (H) and momentum (τ) measured at an area of ancient broadleaved deciduous forest in Oxfordshire, UK (Wytham Woods). Turbulent flux densities were monitored from the top of a forest tower using the micrometeorological eddy covariance (EC) technique between 2014-06-13 13:00 and 2016-01-04 22:00. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations. Data were collected by staff from the Centre for Ecology & Hydrology, Wallingford.
Authors
- Morrison, R. ;
- Evans, J.G.