Automated Organization ProfileWesleyan University
Wesleyan University
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: 190.8 (sum of 258 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Experimental data collected for "Guiding Waves through Chaos: Universal Bounds for Targeted Mode Transport" (2025)
Authors
- Guillamon, John
Experimental data collected for "Guiding Waves through Chaos: Universal Bounds for Targeted Mode Transport" (2025)
Authors
- Guillamon, John
Repository ContentsThis repository provides a set of files to get started with our trained ACE potentials in LAMMPS:YAML files (.yaml)Contain the trained potential parameters output from the PACE training process.Example: ACE-BN25.yaml, ACE-hBN20.yaml.YACE files (.yace)Input format for LAMMPS to directly use the trained potentials.Generated from the corresponding YAML files using: pace_yaml2yace .yamlExample: ACE-BN25.yace, ACE-hBN20.yace.Dump files (*.dump)Example atomic configurations with defects, useful for testing and validation.Examples: 30B-centered-48-defect.dump, 30N-centered-48-defect.dump, 30sw-defect.dump.LAMMPS input file (ace.inp)A sample LAMMPS input script demonstrating how to run an NPT simulation with the trained potentials.The potential file used can be changed in the pair_coeff section.
Authors
- Hassan, Md. Rakib ;
- Dunton, Owen R. ;
- Starr, Francis W.
Repository ContentsThis repository provides a set of files to get started with our trained ACE potentials in LAMMPS:YAML files (.yaml)Contain the trained potential parameters output from the PACE training process.Example: ACE-BN25.yaml, ACE-hBN20.yaml.YACE files (.yace)Input format for LAMMPS to directly use the trained potentials.Generated from the corresponding YAML files using: pace_yaml2yace .yamlExample: ACE-BN25.yace, ACE-hBN20.yace.Dump files (*.dump)Example atomic configurations with defects, useful for testing and validation.Examples: 30B-centered-48-defect.dump, 30N-centered-48-defect.dump, 30sw-defect.dump.LAMMPS input file (ace.inp)A sample LAMMPS input script demonstrating how to run an NPT simulation with the trained potentials.The potential file used can be changed in the pair_coeff section.
Authors
- Hassan, Md. Rakib ;
- Dunton, Owen R. ;
- Starr, Francis W.
This dataset contains carbonate wt% estimations and related geochemical / geophysical measurements for core samples from 116 Cenozoic ODP/IODP sites. The data were generated to evaluate conversion methods between calcium carbonate content and elemental/core-logging proxies.
Authors
- Zheng, Rongting ;
- Dong, Yixin ;
- Wang, Yi ;
- Xin, Tong ;
- Liu, Quanyou ;
- Thomas, Ellen ;
- Wang, Jiuyuan
This dataset contains carbonate wt% estimations and related geochemical / geophysical measurements for core samples from 116 Cenozoic ODP/IODP sites. The data were generated to evaluate conversion methods between calcium carbonate content and elemental/core-logging proxies.
Authors
- Zheng, Rongting ;
- Dong, Yixin ;
- Wang, Yi ;
- Xin, Tong ;
- Liu, Quanyou ;
- Thomas, Ellen ;
- Wang, Jiuyuan
Shore-based X-ray Fluorescence (XRF), IODP Expedition 395 Site U1602X-ray fluorescence (XRF) is a rapid, non-destructive technique for determining qualitative and quantitative changes in chemical composition. In the shore-based laboratory at Scripps Institution of Oceanography, University of California, San Diego, an Avaatech XRF Core Scanner was used to measure a large number of spots along the length of a core. Spots are typically irradiated at multiple conditions to excite and measure a wide range of elements. The peak intensity changes (we do not provide concentrations) are then used to help recognize and define major chemo-stratigraphic units without the need for destructive sampling.
Authors
- Parnell-Turner, Ross ;
- Briais, Anne ;
- LeVay, Leah ;
- Morris, Margaret ;
- Cui, Ying ;
- Di Chiara, Anita ;
- Dodd, Justin P. ;
- Dunkley Jones, Tom ;
- Dwyer, Deepa ;
- Eason, Deborah ;
- Friedman, Sarah ;
- Hemming, Sidney ;
- Hochmuth, Katharina ;
- Ibrahim, Halima E ;
- Jasper, Claire ;
- Karatsolis, Boris- Theofanis ;
- Lee, Saran ;
- LeBlanc, Danielle ;
- Lindsay, Melody ;
- McNamara, David ;
- Modestou, Sevasti ;
- Murton, Bramley ;
- Oconnell, Suzanne ;
- Pasquet, Gabriel ;
- Pearson, Paul ;
- Qian, Sheng-Ping ;
- Rosenthal, yair ;
- Satolli, Sara ;
- Sinnesael, Matthias ;
- Suzuki, Takuma ;
- Thulasi Doss, Thena ;
- White, Nicholas J. ;
- Wu, Tao ;
- Yang, Alexandra ;
- Ferrante, Brian ;
- Korat, Sneha ;
- Mendez, Maria ;
- Sperling, Chandler
Shore-based X-ray Fluorescence (XRF), IODP Expedition 395 Site U1602X-ray fluorescence (XRF) is a rapid, non-destructive technique for determining qualitative and quantitative changes in chemical composition. In the shore-based laboratory at Scripps Institution of Oceanography, University of California, San Diego, an Avaatech XRF Core Scanner was used to measure a large number of spots along the length of a core. Spots are typically irradiated at multiple conditions to excite and measure a wide range of elements. The peak intensity changes (we do not provide concentrations) are then used to help recognize and define major chemo-stratigraphic units without the need for destructive sampling.
Authors
- Parnell-Turner, Ross ;
- Briais, Anne ;
- LeVay, Leah ;
- Morris, Margaret ;
- Cui, Ying ;
- Di Chiara, Anita ;
- Dodd, Justin P. ;
- Dunkley Jones, Tom ;
- Dwyer, Deepa ;
- Eason, Deborah ;
- Friedman, Sarah ;
- Hemming, Sidney ;
- Hochmuth, Katharina ;
- Ibrahim, Halima E ;
- Jasper, Claire ;
- Karatsolis, Boris- Theofanis ;
- Lee, Saran ;
- LeBlanc, Danielle ;
- Lindsay, Melody ;
- McNamara, David ;
- Modestou, Sevasti ;
- Murton, Bramley ;
- Oconnell, Suzanne ;
- Pasquet, Gabriel ;
- Pearson, Paul ;
- Qian, Sheng-Ping ;
- Rosenthal, yair ;
- Satolli, Sara ;
- Sinnesael, Matthias ;
- Suzuki, Takuma ;
- Thulasi Doss, Thena ;
- White, Nicholas J. ;
- Wu, Tao ;
- Yang, Alexandra ;
- Ferrante, Brian ;
- Korat, Sneha ;
- Mendez, Maria ;
- Sperling, Chandler
Growing evidence suggests that organisms with narrow niche requirements are particularly disadvantaged in small habitat patches, typical of fragmented landscapes. However, the mechanisms behind this relationship remain unclear. Dietary specialists may be particularly constrained by the availability of their food resources as habitat area shrinks. For herbivorous insects, host plants may be filtered out of small habitat fragments by neutral sampling processes and deterministic plant community shifts due to altered microclimates, edge effects, and browsing by ungulates. We examined the relationship between forest fragment area and the abundance of dietary-specialist and dietary-generalist larval Lepidoptera (caterpillars) and their host plants in the northeastern USA. We surveyed caterpillars and their host plants over three years in equal-sized plots within 32 forest fragments varying in area between 3 and 1014 ha. We tested whether the abundances and species richness of dietary specialists increased more than those of dietary generalists with increasing fragment area, and, if so, whether the difference could be explained by reduced host plant availability or increased browsing by white-tailed deer (Odocoileus virginianus). The overall abundance of dietary specialists was positively related to fragment area; the relationship was substantially weaker for dietary generalists. There was notable variation among species within diet breadth groups, however. There was no effect of fragment area on the diversity of dietary-specialist or dietary-generalist caterpillars. Deer activity was not related to the abundances of either dietary-generalist or dietary-specialist caterpillars. Plant community composition was strongly associated with fragment area. Larger fragments were more likely to include host plants for both dietary-specialist and dietary-generalist caterpillars. Deer activity was correlated with decreased host plant availability for both groups, with a slightly stronger impact on host plants of dietary specialists. Although dietary specialists were more likely to lack host plants in fragments, the relationship between fragment area and host availability did not depend on caterpillar diet breadth. This study provides further evidence that decreasing patch area disproportionately impacts specialist consumers. Because this relationship was derived from equal-sized plots, it is robust to some criticisms levelled at fragmentation research. The mechanisms for specialist consumer declines, however, remain elusive.
Authors
- Mickley, James ;
- Anderson, Riley ;
- Wagner, David ;
- Brown, Leone ;
- Connors, Christian ;
- Davis, Miranda ;
- Elphick, Chris ;
- Kilpatrick, Howard ;
- LaScaleia, Michael ;
- Marren, Courtney ;
- Musavi, Hooman ;
- Pirtel, Nikki ;
- Weeks, Kathryn ;
- Singer, Michael ;
- Bagchi, Robert
These files are for APSR replication purposes and do not include additional data cleaning done in the final files.
Contractual obligations with our data provider, Kantar/CMAG, necessitate that we limit access to the data to members of academic institutions using the data for academic purposes. To learn more and purchase data visit https://mediaproject.wesleyan.edu/dataaccess/.
Authors
- Franklin Fowler, Erika ;
- Franz, Michael M. ;
- Ridout, Travis N. ;
- Floyd, Breeze ;
- Baum, Laura