Automated Organization ProfileUmeå University, Sweden
Umeå University, Sweden
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: 8.4 (sum of 8 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
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.
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.
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
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
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
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
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
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