Automated Organization ProfileSimplot (United States)
Simplot (United States)
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: 3.8 (sum of 7 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Additional file 3. Total differentially expressed miRNAs.
Authors
- Feugang, Jean M. ;
- Gad, Ahmed ;
- Menjivar, Nico G. ;
- Ishak, Ghassan M. ;
- Gebremedhn, Samuel ;
- Gastal, Melba O. ;
- Dlamini, Notsile H. ;
- Prochazka, Radek ;
- Gastal, Eduardo L. ;
- Tesfaye, Dawit
Additional file 2. Expressed miRNAs in each seasonal group represented as the average CPM value.
Authors
- Feugang, Jean M. ;
- Gad, Ahmed ;
- Menjivar, Nico G. ;
- Ishak, Ghassan M. ;
- Gebremedhn, Samuel ;
- Gastal, Melba O. ;
- Dlamini, Notsile H. ;
- Prochazka, Radek ;
- Gastal, Eduardo L. ;
- Tesfaye, Dawit
Additional file 2. Expressed miRNAs in each seasonal group represented as the average CPM value.
Authors
- Feugang, Jean M. ;
- Gad, Ahmed ;
- Menjivar, Nico G. ;
- Ishak, Ghassan M. ;
- Gebremedhn, Samuel ;
- Gastal, Melba O. ;
- Dlamini, Notsile H. ;
- Prochazka, Radek ;
- Gastal, Eduardo L. ;
- Tesfaye, Dawit
Supplementary Material 1
Authors
- Joyce, Kamryn ;
- Gad, Ahmed ;
- Menjivar, Nico G. ;
- Gebremedhn, Samuel ;
- Heredia, Daniella ;
- Dubeux, Georgia ;
- Lopez-Duarte, Maria Camila ;
- Bittar, Joao ;
- Gonella-Diaza, Angela ;
- Tesfaye, Dawit
Additional file 3. Total differentially expressed miRNAs.
Authors
- Feugang, Jean M. ;
- Gad, Ahmed ;
- Menjivar, Nico G. ;
- Ishak, Ghassan M. ;
- Gebremedhn, Samuel ;
- Gastal, Melba O. ;
- Dlamini, Notsile H. ;
- Prochazka, Radek ;
- Gastal, Eduardo L. ;
- Tesfaye, Dawit
Supplementary Material 1
Authors
- Joyce, Kamryn ;
- Gad, Ahmed ;
- Menjivar, Nico G. ;
- Gebremedhn, Samuel ;
- Heredia, Daniella ;
- Dubeux, Georgia ;
- Lopez-Duarte, Maria Camila ;
- Bittar, Joao ;
- Gonella-Diaza, Angela ;
- Tesfaye, Dawit
Data and code files included within release v1.0 from the Sagebrush_in_vitro_prop GitRepo. Please visit the associated project website for specific details about project protocols and workflow.Basin big sagebrush (Artemisia tridentata subsp. tridentata) is a keystone species of the sagebrush steppe, a widespread ecosystem of western North America threatened by climate change. The study’s goal was to develop an in vitro method of propagation for this taxon to support genome sequencing and genotype-by-environment research on drought tolerance. Such research may ultimately facilitate the reintroduction of big sagebrush in degraded habitats. Seedlings were generated from two diploid mother plants (2n = 2x = 18) collected in environments with contrasting precipitation regimes. The effects of IBA and NAA on rooting of shoot tips were tested on 45 individuals and 15 shoot tips per individual. Growth regulator and individual-seedling effects on percent rooting and roots per shoot tip were evaluated using statistical and clustering analyses. Furthermore, rooted shoot tips were transferred into new media to ascertain their continued growth in vitro. The results suggest that A. tridentata is an outbred species, as shown by individuals’ effect on rooting and growth. IBA addition was the most effective method for promoting adventitious rooting, especially in top-performing individuals. These individuals also have high survival and growth rates upon transferring to new media, making them suitable candidates for generating biomass for genome sequencing and producing clones for genotype-by-environment research.
Authors
- Barron, Rachael ;
- Martinez, Peggy ;
- Serpe, Marcelo ;
- Buerki, Sven