Automated Organization Profile

Technische Universität Wien Fakultät für Technische Chemie

Current S-Index

3.3

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.8

Average Dataset Index per dataset

Total Datasets

4

Total datasets in this organization

Average FAIR Score

43.3%

Average FAIR Score per dataset

Total Citations

1

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

Data and Code for "Probing the Depths: Experimental and Simulated Insights into Nanoscale AFM-IR Imaging of Complex Heterogeneous Structures"

This record contains a docker image for data evaluation of AFM-IR data for our publication 'Understanding the resolution and sensitivity in  photothermal nanoscale chemical imaging - a point spread function approach'. The evaluations can be accessed by running the container and accessing the contained Jupyter Lab via a browser. The calculations are contained in 'Figure preparations.ipynb'.To run the container (requires docker):1.download 'container.tar.gz'2. in the command line, execute 'docker load  -i pillars.tar.gz'. This will return something like 'Loaded image: '3. then 'docker run -p 8888:8888  pillars:latest jupyter notebook --ip 0.0.0.0 --NotebookApp.default_url=/lab --port 8888'4.In your command line a link starting in 'http://127.0.0.1:8888/lab?token=...' will appear. Open this link in your browser to access the evaluation  In addition to running the container, files can be accessed directly in the files.zip folder. The contens of this folder are described in README.txt.

Authors

  • Zhang, Yide ;
  • Yilmaz, Ufuk ;
  • Vorobev, Artem S. ;
  • Iadanza, Simone ;
  • O'Faolain, Liam ;
  • Lendl, Bernhard ;
  • Ramer, Georg
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.5281/zenodo.14812044February 2025

Data and Code for "Probing the Depths: Experimental and Simulated Insights into Nanoscale AFM-IR Imaging of Complex Heterogeneous Structures"

This record contains a docker image for data evaluation of AFM-IR data for our publication 'Understanding the resolution and sensitivity in  photothermal nanoscale chemical imaging - a point spread function approach'. The evaluations can be accessed by running the container and accessing the contained Jupyter Lab via a browser. The calculations are contained in 'Figure preparations.ipynb'.To run the container (requires docker):1.download 'container.tar.gz'2. in the command line, execute 'docker load  -i pillars.tar.gz'. This will return something like 'Loaded image: '3. then 'docker run -p 8888:8888  pillars:latest jupyter notebook --ip 0.0.0.0 --NotebookApp.default_url=/lab --port 8888'4.In your command line a link starting in 'http://127.0.0.1:8888/lab?token=...' will appear. Open this link in your browser to access the evaluation  In addition to running the container, files can be accessed directly in the files.zip folder. The contens of this folder are described in README.txt.

Authors

  • Zhang, Yide ;
  • Yilmaz, Ufuk ;
  • Vorobev, Artem S. ;
  • Iadanza, Simone ;
  • O'Faolain, Liam ;
  • Lendl, Bernhard ;
  • Ramer, Georg
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.5281/zenodo.14812045February 2025

External cavity quantum cascade laser vibrational circular dichroism spectroscopy for fast and sensitive analysis of proteins at low concentrations (Data analysis)

This record contains a docker container image of the data evaluation shown in the publication "External cavity quantum cascade laser vibrational circular dichroism spectroscopy for fast and sensitive analysis of proteins at low concentrations". The evaluations can be accessed by running the container and accessing the contained Jupyter Lab via a browser. The calculations are contained in 'Eval_protein_D2O.ipynb'.To run the container (requires docker):1.download 'd2o_vcd.tar'2. in the command line, execute 'docker load -i d2o_vcd.tar'. This will return something like 'Loaded image: ' with image_name probably being "drhermann/vcd_d2o_00:trial_03"3. then 'docker run -p 8889:8889 ' replacing the brackets with the actual name of the image, such as drhermann/vcd_d2o_00:trial_034.In your command line a link starting in 'http://127.0.0.1:8888/lab?token=...' will appear. Open this link in your browser to access the evaluation.

Authors

  • Hermann, Daniel-Ralph ;
  • Ramer, Georg ;
  • Lendl, Bernhard
0 Citations0 Mentions73% FAIR0.4 Dataset Index
10.5281/zenodo.12666141November 2024

External cavity quantum cascade laser vibrational circular dichroism spectroscopy for fast and sensitive analysis of proteins at low concentrations (Data analysis)

This record contains a docker container image of the data evaluation shown in the publication "External cavity quantum cascade laser vibrational circular dichroism spectroscopy for fast and sensitive analysis of proteins at low concentrations". The evaluations can be accessed by running the container and accessing the contained Jupyter Lab via a browser. The calculations are contained in 'Eval_protein_D2O.ipynb'.To run the container (requires docker):1.download 'd2o_vcd.tar'2. in the command line, execute 'docker load -i d2o_vcd.tar'. This will return something like 'Loaded image: ' with image_name probably being "drhermann/vcd_d2o_00:trial_03"3. then 'docker run -p 8889:8889 ' replacing the brackets with the actual name of the image, such as drhermann/vcd_d2o_00:trial_034.In your command line a link starting in 'http://127.0.0.1:8888/lab?token=...' will appear. Open this link in your browser to access the evaluation.

Authors

  • Hermann, Daniel-Ralph ;
  • Ramer, Georg ;
  • Lendl, Bernhard
1 Citation0 Mentions73% FAIR2.2 Dataset Index
10.5281/zenodo.12666142November 2024