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Dataset . 2024
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Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Bottom-illuminated photothermal nanoscale chemical imaging with a flat silicon ATR in air and liquid (data evaluation)

Authors: Yilmaz, Ufuk; Sam, Savda; Lendl, Bernhard; Ramer, Georg;

Bottom-illuminated photothermal nanoscale chemical imaging with a flat silicon ATR in air and liquid (data evaluation)

Abstract

This record contains a docker image for data evaluation of AFM-IR data for our publication 'Bottom-illuminated photothermal nanoscale chemical imaging with a flat silicon ATR in air and liquid'. The evaluations can be accessed by running the container and accessing the contained Jupyter Lab via a browser. The calculations are contained in 'Bottom_illuminated_PTIR.ipynb'. To run the container (requires docker): 1.download 'container.tar.gz' 2. in the command line, execute 'docker load -i container.tar.gz'. This will return something like 'Loaded image: ' 3. then 'docker run -p 8888:8888 ' replacing the brackets with the actual name of the image, such as paper_bottom_illuminated:submission 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.

Related Organizations
Keywords

docker image, infrared imaging, jupyter, AFM-IR, liquid AFM, nanoscale

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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