Automated Author ProfileBarthel, Juri
Ernst Ruska-Centre (ER-C 2), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
Barthel, Juri
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author'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: 3.5 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Dataset and python processing scripts for the journal article ... (currently under review). The raw, original, dataset is 011_big_film_512x512.emd. Which is a hdf5-file following the EMD (NCEM) standard. In addition, a reconverted version of this file, with a more optimized internal structure, which can be loaded directly in HyperSpy and pyXem is included (011_big_film_512x512_updated.hspy).
Authors
- Nord, Magnus ;
- Barthel, Juri ;
- Allen, Christopher S. ;
- McGrouther, Damien ;
- Kirkland, Angus I. ;
- MacLaren, Ian
Dataset and python processing scripts for the journal article "Atomic resolution HOLZ-STEM imaging of atom position modulation in oxide heterostructures" DOI for the journal article: https://doi.org/10.1016/j.ultramic.2021.113296 There are two types of data in this deposit, experimental and simulated: The simulated is contained in the sim_data_deposit.zip file The experimental is in the "root" folder. This is in the form of the raw data files themselves, the python scripts and the intermediate files. The experimental data The raw, original, dataset is 011_big_film_512x512.emd. Which is a hdf5-file following the EMD (NCEM) standard. In addition, a reconverted version of this file, with a more optimized internal structure, which can be loaded directly in HyperSpy and pyXem is included (011_big_film_512x512_updated.hspy). The python processing files are intended to be run from the first, a000, to the last b010. In the order a000, a001, a002, .... b000, b001, ... The python library and version requirements are found in requirements.txt. The most important ones being HyperSpy and pixStem. Note that pixStem has been merged with the pyXem project, but the pixStem code will remain available for the foreseeable future. The 011_big_film_512x512_updated.hspy is included for convenience, to make it easier to explore the data with more recent versions of HyperSpy and pyXem. In addition, it has a more optimized internal structure (via more optimized chunking). To view it, install HyperSpy and load the data:
import hyperspy.api as hs s = hs.load("011_big_film_512x512_updated.hspy") s.plot()
Authors
- Nord, Magnus ;
- Barthel, Juri ;
- Allen, Christopher S. ;
- McGrouther, Damien ;
- Kirkland, Angus I. ;
- MacLaren, Ian
Dataset and python processing scripts for the journal article "Atomic resolution HOLZ-STEM imaging of atom position modulation in oxide heterostructures" DOI for the journal article: https://doi.org/10.1016/j.ultramic.2021.113296 There are two types of data in this deposit, experimental and simulated: The simulated is contained in the sim_data_deposit.zip file The experimental is in the "root" folder. This is in the form of the raw data files themselves, the python scripts and the intermediate files. The experimental data The raw, original, dataset is 011_big_film_512x512.emd. Which is a hdf5-file following the EMD (NCEM) standard. In addition, a reconverted version of this file, with a more optimized internal structure, which can be loaded directly in HyperSpy and pyXem is included (011_big_film_512x512_updated.hspy). The python processing files are intended to be run from the first, a000, to the last b010. In the order a000, a001, a002, .... b000, b001, ... The python library and version requirements are found in requirements.txt. The most important ones being HyperSpy and pixStem. Note that pixStem has been merged with the pyXem project, but the pixStem code will remain available for the foreseeable future. The 011_big_film_512x512_updated.hspy is included for convenience, to make it easier to explore the data with more recent versions of HyperSpy and pyXem. In addition, it has a more optimized internal structure (via more optimized chunking). To view it, install HyperSpy and load the data:
import hyperspy.api as hs s = hs.load("011_big_film_512x512_updated.hspy") s.plot()
Authors
- Nord, Magnus ;
- Barthel, Juri ;
- Allen, Christopher S. ;
- McGrouther, Damien ;
- Kirkland, Angus I. ;
- MacLaren, Ian