Automated Organization ProfileUniversity of Florida
University of Florida
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: 6104.7 (sum of 5,471 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This repository provides storage for the Source Data associated with the preprint available at https://doi.org/10.1101/2024.12.03.626448. The DOI will be updated once the manuscript is formally published.
Authors
- Kim, Taehoon ;
- Resende Jr., Marcio ;
- Zhao, Meixia ;
- Begcy, Kevin
This repository provides storage for the Source Data associated with the preprint available at https://doi.org/10.1101/2024.12.03.626448. The DOI will be updated once the manuscript is formally published.
Authors
- Kim, Taehoon ;
- Resende Jr., Marcio ;
- Zhao, Meixia ;
- Begcy, Kevin
Understanding how abiotic conditions shape biodiversity and population connectivity is essential for predicting future trends associated with climate change. Coral reefs face severe losses, making effective conservation strategies increasingly urgent. Success in these efforts relies on assessing genetic connectivity and identifying barriers and corridors to gene flow. The latter is influenced both by the environment and transport, but their relative importance can be non-intuitive and has rarely been assessed. Here, we use a seascape genomics approach to examine the population genetic structure and connectivity in scleractinian corals. Our findings reveal distinct patterns of genetic structure across species, likely influenced by seasonal differences in reproduction combined with the seasonality of ocean currents and environmental conditions. Using geographic distances, larval dispersal modelling, and environmental data, we identify a complex interaction of isolation by distance, isolation by resistance, and isolation by environment processes affecting gene flow across populations. These findings advance our understanding of connectivity patterns in reef ecosystems, thereby informing efforts to design robust marine protected area networks in the face of global change and biodiversity erosion. This deposit contains the command lines, scripts, and analysis files related to Oury et al. Seascape genomics uncovers complex connectivity patterns in reef corals.
Authors
- Oury, Nicolas ;
- Wang, Yixin ;
- Ma, Jingyi ;
- Terraneo, Tullia I. ;
- Marchese, Fabio ;
- Barreca, Federica ;
- Delgadillo, Nathalia ;
- Vimercati, Silvia ;
- Berumen, Michael L. ;
- Peixoto, Raquel ;
- Paulay, Gustav ;
- Hoteit, Ibrahim ;
- Benzoni, Francesca
Understanding how abiotic conditions shape biodiversity and population connectivity is essential for predicting future trends associated with climate change. Coral reefs face severe losses, making effective conservation strategies increasingly urgent. Success in these efforts relies on assessing genetic connectivity and identifying barriers and corridors to gene flow. The latter is influenced both by the environment and transport, but their relative importance can be non-intuitive and has rarely been assessed. Here, we use a seascape genomics approach to examine the population genetic structure and connectivity in scleractinian corals. Our findings reveal distinct patterns of genetic structure across species, likely influenced by seasonal differences in reproduction combined with the seasonality of ocean currents and environmental conditions. Using geographic distances, larval dispersal modelling, and environmental data, we identify a complex interaction of isolation by distance, isolation by resistance, and isolation by environment processes affecting gene flow across populations. These findings advance our understanding of connectivity patterns in reef ecosystems, thereby informing efforts to design robust marine protected area networks in the face of global change and biodiversity erosion. This deposit contains the command lines, scripts, and analysis files related to Oury et al. Seascape genomics uncovers complex connectivity patterns in reef corals.
Authors
- Oury, Nicolas ;
- Wang, Yixin ;
- Ma, Jingyi ;
- Terraneo, Tullia I. ;
- Marchese, Fabio ;
- Barreca, Federica ;
- Delgadillo, Nathalia ;
- Vimercati, Silvia ;
- Berumen, Michael L. ;
- Peixoto, Raquel ;
- Paulay, Gustav ;
- Hoteit, Ibrahim ;
- Benzoni, Francesca
Ursus arctos marsicanus — Frozen ReleaseGenome assembly: mUrsArc1.1.primarysoftmask.fasta.gzBRAKER3 gene models: UrArMar.braker3.tsebra.gff3.gzBRAKER3 protein sequences: UrArMar.braker3.tsebra.aa.gzBRAKER3 protein sequences (longest transcript per gene only): UrArMar.braker3.tsebra.aa.LTPG.fa.gzBRAKER3 coding sequences: UrArMar.braker3.tsebra.codingseq.gzFunctional annotation: UrArMar.braker3.tsebra.interproscan.Pfam.L.gff3 After manual curation of target genesBRAKER3 gene models: UrArMar.braker3.tsebra.MANUAL.gff3.gzBRAKER3 protein sequences (longest transcript per gene only): UrArMar.braker3.tsebra.aa.LTPG.MANUAL.fa.gz
Authors
- Fabbri, Giulia ;
- Biello, Roberto ;
- Gabrielli, Maëva ;
- Torres Vilaça, Sibelle ;
- Sammarco, Beatrice ;
- Fuselli, Silvia ;
- Santos, Patrícia ;
- Ancona, Lorena ;
- Peretto, Laura ;
- Padovani, Giada ;
- Sollitto, Marco ;
- Iannucci, Alessio ;
- Paule, Ladislav ;
- Balestra, Dario ;
- Gerdol, Marco ;
- Ciofi, Claudio ;
- Ciucci, Paolo ;
- Mahan, Carolyn G. ;
- Trucchi, Emiliano ;
- Benazzo, Andrea ;
- Bertorelle, Giorgio
Ursus arctos marsicanus — Frozen ReleaseGenome assembly: mUrsArc1.1.primarysoftmask.fasta.gzBRAKER3 gene models: UrArMar.braker3.tsebra.gff3.gzBRAKER3 protein sequences: UrArMar.braker3.tsebra.aa.gzBRAKER3 protein sequences (longest transcript per gene only): UrArMar.braker3.tsebra.aa.LTPG.fa.gzBRAKER3 coding sequences: UrArMar.braker3.tsebra.codingseq.gzFunctional annotation: UrArMar.braker3.tsebra.interproscan.Pfam.L.gff3 After manual curation of target genesBRAKER3 gene models: UrArMar.braker3.tsebra.MANUAL.gff3.gzBRAKER3 protein sequences (longest transcript per gene only): UrArMar.braker3.tsebra.aa.LTPG.MANUAL.fa.gz
Authors
- Fabbri, Giulia ;
- Biello, Roberto ;
- Gabrielli, Maëva ;
- Torres Vilaça, Sibelle ;
- Sammarco, Beatrice ;
- Fuselli, Silvia ;
- Santos, Patrícia ;
- Ancona, Lorena ;
- Peretto, Laura ;
- Padovani, Giada ;
- Sollitto, Marco ;
- Iannucci, Alessio ;
- Paule, Ladislav ;
- Balestra, Dario ;
- Gerdol, Marco ;
- Ciofi, Claudio ;
- Ciucci, Paolo ;
- Mahan, Carolyn G. ;
- Trucchi, Emiliano ;
- Benazzo, Andrea ;
- Bertorelle, Giorgio
No description available
Authors
- Jiang, Zhenxiong
No description available
Authors
- Jiang, Zhenxiong
v6.19.0
Authors
- S. K. Morgan Ernest ;
- Glenda M. Yenni ;
- Ginger Allington ;
- Ellen K. Bledsoe ;
- Erica M. Christensen ;
- Renata Diaz ;
- Keith Geluso ;
- Jacob R. Goheen ;
- Qinfeng Guo ;
- Edward Heske ;
- Douglas Kelt ;
- Joan M. Meiners ;
- Jim Munger ;
- Carla Restrepo ;
- Douglas A. Samson ;
- Michele R. Schutzenhofer ;
- Marian Skupski ;
- Sarah R. Supp ;
- Katherine M. Thibault ;
- Shawn D. Taylor ;
- Ethan P. White ;
- Diane W. Davidson ;
- James H. Brown ;
- Thomas J. Valone
Weekly forecasts for the Portal Project rodent population data. This dataset contains automated forecasts generated using multiple ecological forecasting models for the Portal Project's long-term rodent population study site in Arizona, USA.
Authors
- Ethan P. White ;
- Glenda M. Yenni ;
- Shawn D. Taylor ;
- Erica M. Christensen ;
- Ellen K. Bledsoe ;
- Juniper L. Simonis ;
- Hao Ye ;
- Henry Senyondo ;
- S. K. Morgan Ernest