Automated Organization ProfileERT Inc.
ERT Inc.
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: 1.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This repository contains the necessary files for reproducing each of the figures in Ober et. al (2021) - currently a manuscript. Each file is named after the associated figure number and stored in the HDF5 format - with maximum compression. In general all chemical species physical variables are stored with four indexed dimensions: (species, z-axis, y-axis, x-axis). The details for chemical species are based in corresponding index values with string array ‘species’:
0 -> Ba 1 -> O 2 -> O+ 3 -> Ba+ 4 -> e- Axis values are in units of meters (m) from spatial origin X-axis (1, 300) Y-axis (1, 300) Z-axis (1, 888) Chemical species number densities in units of meters cubed (m^3) number_density ( 5, 888, 300, 300 ) Chemical species Temperature in units of Kelvin (K) temperature ( 5, 888, 300, 300 ) Chemical species velocity component values - meters per second (m/s) velocity_x ( 5, 888, 300, 300 ) velocity_y ( 5, 888, 300, 300 ) velocity_z ( 5, 888, 300, 300 ) Magnetic field in units of Teslas (T) magnetic_x ( 1, 888, 300, 300 ) magnetic_y ( 1, 888, 300, 300 ) magnetic_z ( 1, 888, 300, 300 ) NOTE: To help meet the data set limit, magnetic field variables are excluded from file “_figure-1.h5”. For "__figure-7b.h5" and "__figure-7c.h5" only magnetic field components are included.
Authors
- Ober, Daniel ;
- Crawford, Trevor ;
- Holmes, Jeffrey ;
- Eccles, James
This repository contains the necessary files for reproducing each of the figures in Ober et. al (2021) - currently a manuscript. Each file is named after the associated figure number and stored in the HDF5 format - with maximum compression. In general all chemical species physical variables are stored with four indexed dimensions: (species, z-axis, y-axis, x-axis). The details for chemical species are based in corresponding index values with string array ‘species’:
0 -> Ba 1 -> O 2 -> O+ 3 -> Ba+ 4 -> e- Axis values are in units of meters (m) from spatial origin X-axis (1, 300) Y-axis (1, 300) Z-axis (1, 888) Chemical species number densities in units of meters cubed (m^3) number_density ( 5, 888, 300, 300 ) Chemical species Temperature in units of Kelvin (K) temperature ( 5, 888, 300, 300 ) Chemical species velocity component values - meters per second (m/s) velocity_x ( 5, 888, 300, 300 ) velocity_y ( 5, 888, 300, 300 ) velocity_z ( 5, 888, 300, 300 ) Magnetic field in units of Teslas (T) magnetic_x ( 1, 888, 300, 300 ) magnetic_y ( 1, 888, 300, 300 ) magnetic_z ( 1, 888, 300, 300 ) NOTE: To help meet the data set limit, magnetic field variables are excluded from file “_figure-1.h5”. For "__figure-7b.h5" and "__figure-7c.h5" only magnetic field components are included.
Authors
- Ober, Daniel ;
- Crawford, Trevor ;
- Holmes, Jeffrey ;
- Eccles, James