Comments (2)
Hi, this dataset is actually not supported by afmformats. It contains binary blobs of experimental data files (which you could extract and open with afmformats if you wanted to) and user-defined ratings. Using this dataset, you can create a training set for nanite or PyJibe.
See also:
- https://nanite.readthedocs.io/en/stable/sec_rating_workflow.html
- https://pyjibe.readthedocs.io/en/stable/sec_qg_import_ts.html
from pyjibe.
Thank you for your answer. Sorry for the confusion.
Also I was able to download the dataset from https://b2share.eudat.eu/api/files/bf481c9b-14ff-47b1-baf5-e569d0199be6/zef18.h5, my connection was the issue.
from pyjibe.
Related Issues (20)
- Optimize for Windows
- macOS/pyinstaller: support opening file formats from file browser
- Sometimes, files are loaded twice
- Handle bad curves on bulk analysis
- Add developer mode
- Remodel preprocessing tab
- Effective radius correction coefficient HOT 2
- When loading "recommended" preprocessing settings, contact point estimate is not reset
- Allow specifying the minimizer method (for advanced users)
- Link to nanite docs in preprocessing tab.
- enh: Allow to hide model parameters via key names
- Show "Axes" only in developer mode.
- Add expert mode
- Cleanup signals
- test FD export
- test FD export
- Importing the extracted ibw files from a force map (*.ARDF) not working HOT 3
- Importing *.h5 file from a ARDFtoHDF5 converter not working in PyJibe HOT 1
- Bulk FD and residuals export
- Simultaneous conversion of multiple files in complex file structure
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from pyjibe.