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Automated Organization Profile

University of New Hampshire

Current S-Index

1,727.3

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.8

Average Dataset Index per dataset

Total Datasets

2,062

Total datasets in this organization

Average FAIR Score

30.6%

Average FAIR Score per dataset

Total Citations

934

Total citations to the organization's datasets

Total Mentions

1

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Limited datasets
Only the first 500 datasets are displayed.

Leaf traits plus growth and dieback data for cloud forest epiphytes in a cloud exclusion treatment at Wayqecha Biological Station, Peru

Datasets for the paper: The potential of Tropical Montane Cloud Forest epiphytes to acclimate to a drier microclimate

Authors

  • Anders
0 Citations0 Mentions50% FAIR1.2 Dataset Index
10.5281/zenodo.7548925January 2027

Leaf traits plus growth and dieback data for cloud forest epiphytes in a cloud exclusion treatment at Wayqecha Biological Station, Peru

No description available

Authors

  • Anders
0 Citations0 Mentions50% FAIR1.2 Dataset Index
10.5281/zenodo.14750333January 2027

Data and Reproduction package for: "A NICER view of the 1.4 solar-mass edge-on pulsar PSR J0614-3329" (Version: 1.0.0)

Posterior samples and mass-radius contours for the headline result of the millisecond pulsar PSR J0614−3329, whose analysis is presented in "A NICER view of the 1.4 M⊙ edge-on pulsar PSR J0614−3329" by Mauviard et al. (2025; arxiv:2506:14883)Also included are: supplementary figures, as well as data and reproduction package of all the X-PSI and NEoST runs.Please refer to the README for detailed information.

Authors

  • Mauviard, Lucien ;
  • Guillot, Sebastien ;
  • Salmi, Tuomo ;
  • Choudhury, Devarshi ;
  • Dorsman, Bas ;
  • González-Caniulef, Denis ;
  • Hoogkamer, Mariska ;
  • Huppenkothen, Daniela ;
  • Kazantsev, Christine ;
  • Kini, Yves ;
  • Olive, Jean-François ;
  • Stammler, Pierre ;
  • Watts, Anna ;
  • Mendes, Melissa ;
  • Rutherford, Nathan ;
  • Schwenk, Achim ;
  • Svensson, Isak ;
  • Bogdanov, Slavko ;
  • Kerr, Matthew ;
  • Ray, Paul ;
  • Guillemot, Lucas ;
  • Cognard, Ismaël ;
  • Theureau, Gilles
2 Citations0 Mentions69% FAIR2.2 Dataset Index
10.5281/zenodo.15603405October 2025

EPREM Widespread SEP Events: Point observers

This record includes compressed archives of selected files from all simulation runs described in "Quantifying the Effects of Parameters in Widespread SEP Events with EPREM" by Young and Poduval. Each archive contains the following:The runtime configuration file (eprem.cfg)All point-observer output files (as NetCDF files with suffix .nc)The EPREM source code is publically available. The point-observer files were produced by EPREM v0.14.0, which is available as a release tag from the source-code repository or from the companion record zenodo.org/records/17195905.The command used to run each simulation, from within the directory containing the corresponding runtime configuration file, was mpirun -n 50 <path/to/executable> eprem.cfg Note that this will generate hundreds of gigabytes of output data.

Authors

  • Young, Matthew
1 Citation0 Mentions13% FAIR0.6 Dataset Index
10.5281/zenodo.17196185September 2025

EPREM Widespread SEP Events: Point observers

This record includes compressed archives of selected files from all simulation runs described in "Quantifying the Effects of Parameters in Widespread SEP Events with EPREM" by Young and Poduval. Each archive contains the following:The runtime configuration file (eprem.cfg)All point-observer output files (as NetCDF files with suffix .nc)The EPREM source code is publically available. The point-observer files were produced by EPREM v0.14.0, which is available as a release tag from the source-code repository or from the companion record zenodo.org/records/17195905.The command used to run each simulation, from within the directory containing the corresponding runtime configuration file, was mpirun -n 50 <path/to/executable> eprem.cfg Note that this will generate hundreds of gigabytes of output data.

Authors

  • Young, Matthew
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.5281/zenodo.17196186September 2025

List of BBFs from Geotail data (1994-2022)

List of bursty bulk flows (BBFs) identified from Geotail data (1994-2022). This dataset is generated in support of the article submitted to Geophysical Research letters (GRL) "Statistical Characteristics of Stormtime Bursty Bulk Flows".

Authors

  • Devanandan, Anusree ;
  • Raptis, Savvas
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.5281/zenodo.17178152September 2025

List of BBFs from Geotail data (1994-2022)

List of bursty bulk flows (BBFs) identified from Geotail data (1994-2022). This dataset is generated in support of the article submitted to Geophysical Research letters (GRL) "Statistical Characteristics of Stormtime Bursty Bulk Flows".

Authors

  • Devanandan, Anusree ;
  • Raptis, Savvas
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.5281/zenodo.17178153September 2025

Data for: Characterizing spatial distribution of field-scale snowpack using unpiloted aerial system (UAS) lidar and structure-from-motion (SfM) photogrammetry (Cho et al., 2025)

This data repository accompanies the research article titled "Characterizing spatial distribution of field-scale snowpack using unpiloted aerial system (UAS) lidar and structure-from-motion (SfM) photogrammetry" published in Hydrology and Earth System Sciences (https://doi.org/10.5194/egusphere-2024-1530). It includes UAS lidar and SfM-derived snow-depth maps, along with topographic variables, for Thompson Farm, New Hampshire, USA.Preferred citation: Cho, E., Verfaillie, M., Jacobs, J. M., Hunsaker, A. G., Sullivan, F. B., Palace, M., and Wagner, C.: Characterizing Spatial Structures of Field-Scale Snowpack using Unpiloted Aerial System (UAS) Lidar and Structure-from-Motion (SfM) Photogrammetry, Hydrology and Earth System Sciences, 2025.Corresponding author: Eunsang Cho ([email protected])

Authors

  • Cho, Eunsang ;
  • Verfaillie, Megan ;
  • Hunsaker, Adam G. ;
  • Jacobs, Jennifer
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.5281/zenodo.17129071September 2025

Data for: Characterizing spatial distribution of field-scale snowpack using unpiloted aerial system (UAS) lidar and structure-from-motion (SfM) photogrammetry (Cho et al., 2025)

This data repository accompanies the research article titled "Characterizing spatial distribution of field-scale snowpack using unpiloted aerial system (UAS) lidar and structure-from-motion (SfM) photogrammetry" published in Hydrology and Earth System Sciences (https://doi.org/10.5194/egusphere-2024-1530). It includes UAS lidar and SfM-derived snow-depth maps, along with topographic variables, for Thompson Farm, New Hampshire, USA.Preferred citation: Cho, E., Verfaillie, M., Jacobs, J. M., Hunsaker, A. G., Sullivan, F. B., Palace, M., and Wagner, C.: Characterizing Spatial Structures of Field-Scale Snowpack using Unpiloted Aerial System (UAS) Lidar and Structure-from-Motion (SfM) Photogrammetry, Hydrology and Earth System Sciences, 2025.Corresponding author: Eunsang Cho ([email protected])

Authors

  • Cho, Eunsang ;
  • Verfaillie, Megan ;
  • Hunsaker, Adam G. ;
  • Jacobs, Jennifer
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.5281/zenodo.17129072September 2025

Flux reducer geometry files and laboratory measurements (Version: 1)

SIMION ion optics geometry files for electrostatic analyer designs with different flux reducer geometries, namely different positions and sizes. Laboratory measurements of a laboratory prototype taken at NASA Marshall's Low Energy Electron and Ion Facility at different energies and flux reducer ratios. Software in Python and IDL to read-in and analyzer simulation and laboratory measurements.

Authors

  • Davis, Lance ;
  • Mouikis, Christopher ;
  • Kistler, Lynn ;
  • Coffey, Victoria ;
  • Kucharek, Harald ;
  • Galvin, Antoinette
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.5281/zenodo.17114147September 2025