Automated Organization Profile

Umeå University, Sweden

Current S-Index

8.4

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.0

Average Dataset Index per dataset

Total Datasets

8

Total datasets in this organization

Average FAIR Score

76.4%

Average FAIR Score per dataset

Total Citations

6

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

MD simulations of SARS-CoV-2 Spike Protein under static electric fields (Version: 1.0.0)

This dataset contains trajectories corresponding to all-atom MD simulations of segments of the SARS-CoV-2 Spike Protein, and in-silico mutations, under the influence of moderate external electric fields. The final structures of some of the simulations were used to perform in-silico docking with ACE2 receptor to evaluate the effect of comformational changes (docking was perform with PyDOCK). The file trajectories_6vsb_dt1ns.zip contains trajectories of simulations that were performed on a segment of the Protein Data Bank ID 6VSB comprising RBD, SD1 and SD2. The file trajectories_6m0j_dt1ns.zip correspond to the RBD in Protein Data Bank ID 6M0J. The file trajectories_in-silico_mutations_dt1ns.zip correspond to simulations performed on in-silico generated mutations following the mutations corresponding to WHO Variants of Concern UK, South Africa and Brazil. In all cases, simulations were performed at different electric field intensities ranging between 104 V/m and 107 V/m, with an extra short simulation under very high intensity (109 V/m). The file docked_structures_6m0j.zip contains the 100 best scored docked structures for each case as the output of PyDOCK. Trajectories are stored in GROMACS compressed trajectory file format (.xtc), downsampled to a 1ns timestep. Individual trajectories length are between 300 nanoseconds and 1 microsecond. In-silico docked structures are in PDB format. See linked preprint for more details.

Authors

  • Arbeitman, Claudia R. ;
  • Rojas, Pablo ;
  • Ojeda-May, Pedro ;
  • Garcia, Martin E.
1 Citation0 Mentions73% FAIR0.8 Dataset Index
10.5281/zenodo.51532612021

MD simulations of SARS-CoV-2 Spike Protein under static electric fields (Version: 1.0.0)

This dataset contains trajectories corresponding to all-atom MD simulations of segments of the SARS-CoV-2 Spike Protein, and in-silico mutations, under the influence of moderate external electric fields. The final structures of some of the simulations were used to perform in-silico docking with ACE2 receptor to evaluate the effect of comformational changes (docking was perform with PyDOCK). The file trajectories_6vsb_dt1ns.zip contains trajectories of simulations that were performed on a segment of the Protein Data Bank ID 6VSB comprising RBD, SD1 and SD2. The file trajectories_6m0j_dt1ns.zip correspond to the RBD in Protein Data Bank ID 6M0J. The file trajectories_in-silico_mutations_dt1ns.zip correspond to simulations performed on in-silico generated mutations following the mutations corresponding to WHO Variants of Concern UK, South Africa and Brazil. In all cases, simulations were performed at different electric field intensities ranging between 104 V/m and 107 V/m, with an extra short simulation under very high intensity (109 V/m). The file docked_structures_6m0j.zip contains the 100 best scored docked structures for each case as the output of PyDOCK. Trajectories are stored in GROMACS compressed trajectory file format (.xtc), downsampled to a 1ns timestep. Individual trajectories length are between 300 nanoseconds and 1 microsecond. In-silico docked structures are in PDB format. See linked preprint for more details.

Authors

  • Arbeitman, Claudia R. ;
  • Rojas, Pablo ;
  • Ojeda-May, Pedro ;
  • Garcia, Martin E.
1 Citation0 Mentions73% FAIR0.8 Dataset Index
10.5281/zenodo.51532602021

Distribution and occurrence frequency of dB/dt spikes during magnetic storms 1980 - 2019

Dataset and files linked to the study "Distribution and occurrence frequency of dB/dt spikes during magnetic storms 1980 - 2019" by A. Schillings et al., in Space Weather.

Authors

  • A. Schillings
1 Citation0 Mentions77% FAIR1.4 Dataset Index
10.5281/zenodo.49229942021

Distribution and occurrence frequency of dB/dt spikes during magnetic storms 1980 - 2019

Dataset and files linked to the study "Distribution and occurrence frequency of dB/dt spikes during magnetic storms 1980 - 2019" by A. Schillings et al., in Space Weather.

Authors

  • A. Schillings
0 Citations0 Mentions79% FAIR1.0 Dataset Index
10.5281/zenodo.49229932021

Lists over bow shock ramps observed by the Magnetospheric Multiscale mission between 2015-10-07 and 2017-10-31

Lists over bow shock ramps observed by the Magnetospheric MultiScale (MMS) mission between 2015-10-07 and 2017-10-31. Column 1-4 are UTC times related to each observed ramp in the MMS magnetic field data, and column 5 tells if MMS crosses the ramp from the solar wind to the magnetosheath (value=1, inbound orbit), or from the magnetosheath to the solar wind (value=0, outbound orbit). Times in column 2 and 3 state the boundary of the main ramp, as they are observed by MMS on its inbound or outbound orbit. Column 1 states an upstream (downstream) time for an inbound (outbound) orbit, and column 4 states a downstream (upstream) time for an inbound (outbound)
orbit.

Authors

  • Hamrin, Maria
0 Citations0 Mentions79% FAIR1.0 Dataset Index
10.5281/zenodo.47257532021

Lists over bow shock ramps observed by the Magnetospheric Multiscale mission between 2015-10-07 and 2017-10-31

Lists over bow shock ramps observed by the Magnetospheric MultiScale (MMS) mission between 2015-10-07 and 2017-10-31. Column 1-4 are UTC times related to each observed ramp in the MMS magnetic field data, and column 5 tells if MMS crosses the ramp from the solar wind to the magnetosheath (value=1, inbound orbit), or from the magnetosheath to the solar wind (value=0, outbound orbit). Times in column 2 and 3 state the boundary of the main ramp, as they are observed by MMS on its inbound or outbound orbit. Column 1 states an upstream (downstream) time for an inbound (outbound) orbit, and column 4 states a downstream (upstream) time for an inbound (outbound)
orbit.

Authors

  • Hamrin, Maria
0 Citations0 Mentions79% FAIR1.0 Dataset Index
10.5281/zenodo.47257522021

Dataset for Waves during Rosetta's close flyby of comet 67P

All data used in the article Ion acoustic waves near a comet nucleus: Rosetta observations at comet 67P/Churyumov-Gerasimenko by Herbert Gunell, Charlotte Goetz, Elias Odelstad, Arnaud Beth, Maria Hamrin, Pierre Henri, Fredrik L. Johansson, Hans Nilsson, and Gabriella Stenberg Wieser ( Annales Geophysicae, vol. 39, 53–68, 2021, doi: 10.5194/angeo-39-53-2021 ) can be found in this package together with the matlab m-files that were used to produce the figures in that article.

Authors

  • Gunell, Herbert ;
  • Götz, Charlotte ;
  • Odelstad, Elias ;
  • Beth, Arnaud ;
  • Hamrin, Maria ;
  • Henri, Pierre ;
  • Johansson, Fredrik L. ;
  • Nilsson, Hans ;
  • Stenberg Wieser, Gabriella
2 Citations0 Mentions73% FAIR1.6 Dataset Index
10.5281/zenodo.39732322020

Dataset for Waves during Rosetta's close flyby of comet 67P

All data used in the article Ion acoustic waves near a comet nucleus: Rosetta observations at comet 67P/Churyumov-Gerasimenko by Herbert Gunell, Charlotte Goetz, Elias Odelstad, Arnaud Beth, Maria Hamrin, Pierre Henri, Fredrik L. Johansson, Hans Nilsson, and Gabriella Stenberg Wieser ( Annales Geophysicae, vol. 39, 53–68, 2021, doi: 10.5194/angeo-39-53-2021 ) can be found in this package together with the matlab m-files that were used to produce the figures in that article.

Authors

  • Gunell, Herbert ;
  • Götz, Charlotte ;
  • Odelstad, Elias ;
  • Beth, Arnaud ;
  • Hamrin, Maria ;
  • Henri, Pierre ;
  • Johansson, Fredrik L. ;
  • Nilsson, Hans ;
  • Stenberg Wieser, Gabriella
1 Citation0 Mentions79% FAIR1.4 Dataset Index
10.5281/zenodo.39732312020