Automated Organization ProfileUniversity of Battambang
University of Battambang
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization'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: 0.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
:unav
Authors
- Chea, Leangsrun ;
- Han, Socheat ;
- Rivard, Cary ;
- Hok, Lyda ;
- Vipham, Jessie ;
- Srean, Pao ;
- Stewart, Zachary
This data was created from a randomized study conducted using two on-station trials in order to evaluate the effects of soil nutrient management practice and living mulches on agronomic performance and yield of chili. Each of the trials was conducted in Siem Reap and Battambang differed in soil texture. The experiment was laid out in a split plot design consisting of living mulches as a main plot treatment and nutrient management as subplot treatments. Living mulch treatments were: Arachis pintoi, morning glory, rice straw mulch, and bare ground while nutrient management treatments were: inorganic fertilizer (UREA) only, cattle manure only, inorganic fertilizer 50% + cattle manure 50%, and control. Data was collected through three cropping seasons between 2018 and 2019. This dataset was collected through research of the project "Integrated Horticulture Livestock Systems" lead by Kansas State University, in partnership with the Royal University of Agriculture, the University of Battambang, and ADDA, as a part of the Feed the Future Innovation Lab for Horticulture.
Authors
- Chea, Leangsrun ;
- Han, Socheat ;
- Rivard, Cary ;
- Hok, Lyda ;
- Vipham, Jessie ;
- Srean, Pao ;
- Stewart, Zachary