Automated Author ProfileUniversity Of Georgia
University Of Georgia
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: 137.4 (sum of 168 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The main objective of this study was to analyze the impact of triclosan on bacterial communities in seawater microcosms from Looe Key Reef, FL, Keys, USA.
Authors
- University of Georgia
Microcosm Experiments Performed in Florida Keys, field season 2015
Authors
- University of Georgia
Ten primer pairs targeting environmental clades of the dimethylsulfoniopropionate (DMSP) demethylase protein, DmdA, were designed using an iterative bioinformatic approach that took advantage of >1700 dmdA sequences captured in marine metagenomic datasets. Using the bioinformatically-optimized primer pairs, dmdA genes were amplified from free-living coastal bacterioplankton samples and sequenced using 454 technology. An average of 6,400 amplicons per primer pair represented almost 800 clusters of environmental dmdA sequences, with clusters defined conservatively at >90% nucleotide sequence identity (~95% protein identity). Systematic comparisons of primer performance showed that degenerate and inosine-based primers did not perform better than specific primer sets in retrieving dmdA diversity, and sometimes captured a lower diversity of sequences from the same DNA sample. The specific primer sets were used to compare dmdA diversity in free-living versus particle-associated bacteria in southeastern U.S. coastal waters. Hundreds of different dmdA clusters were found in both size fractions, with Roseobacter-like and SAR11-like sequences dominating both. The free-living fraction had a higher diversity of dmdA clusters overall, though clusters retrieved by a given primer set were largely shared (52-88%) across the two size fractions, and most sequences were affiliated with these shared clusters (~90%). Despite evidence from 16S rRNA-based taxonomic surveys that free-living bacterioplankton are a considerably less diverse subset of particle-associated bacteria at this site, this seems not to be the case for a widespread bacterial gene mediating sulfur transformations.
Authors
- University of Georgia
This file contains data from village surveys.
Authors
- International Food Policy Research Institute (IFPRI) ;
- University Of California, Davis ;
- University Of Georgia
This file contains data from monitoring survey
Authors
- International Food Policy Research Institute (IFPRI) ;
- University Of California, Davis ;
- University Of Georgia
This is a questionnaire and codebook for data file 006_LLLDATASET_village.dta.
Authors
- International Food Policy Research Institute (IFPRI) ;
- University Of California, Davis ;
- University Of Georgia
This file contains data from household surveys.
Authors
- International Food Policy Research Institute (IFPRI) ;
- University Of California, Davis ;
- University Of Georgia
This is a questionnaire and codebook for data file 007_LLLDATASET_sn.dta.
Authors
- International Food Policy Research Institute (IFPRI) ;
- University Of California, Davis ;
- University Of Georgia
This is a questinnaire and codebook for data file 008_LLLDATASET_monitoring.dta.
Authors
- International Food Policy Research Institute (IFPRI) ;
- University Of California, Davis ;
- University Of Georgia
This is a questionnaire and codebook for data file 005_LLLDATASET_household.dta.
Authors
- International Food Policy Research Institute (IFPRI) ;
- University Of California, Davis ;
- University Of Georgia