Dataset Open Access
This deposition contains the results from a simulation of reconstructions of undersampled atomic force microscopy (AFM) images. The reconstructions were obtained using weighted iterative thresholding compressed sensing algorithms.
The deposition consists of:
The HDF5 database is licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/) . Since the CC BY 4.0 license is not well suited for source code, the Python script is licensed under the BSD 2-Clause license (http://opensource.org/licenses/BSD-2-Clause) .
The files are provided as-is with no warranty as detailed in the above mentioned licenses.
The database is split into four parts:
These four parts must be concatenated before the database can be extracted from the tar.xz archive. On Unix-like systems this may be done using:
cat weighted_it_reconstructions.hdf5.tar.xz.part-* > weighted_it_reconstructions.hdf5.tar.xz
after which the archive may be extracted, e.g., using:
tar xfJ weighted_it_reconstructions.hdf5.tar.xz
WARNING: The extracted HDF5 database has a size of 70 GiB.
The simulation results in the database are based on "Atomic Force Microscopy Images of Cell Specimens" by Christian Rankl licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). The original images are available at http://dx.doi.org/10.5281/zenodo.17573. The original images are provided as-is without warranty of any kind. Both the original images as well as adapted images are part of the dataset.
|weighted_it_reconstructions.hdf5.tar.xz.part-00 md5:0c61117cc32605e48ead1522a1942d7b||2.1 GB||Download|
|weighted_it_reconstructions.hdf5.tar.xz.part-01 md5:98b0007945892dbce179b97f7b00fcbc||2.1 GB||Download|
|weighted_it_reconstructions.hdf5.tar.xz.part-02 md5:ef202a17721f7c644705c1e009376df3||2.1 GB||Download|
|weighted_it_reconstructions.hdf5.tar.xz.part-03 md5:3dddf2b524a304fac97b1247424c966e||1.6 GB||Download|
|weighted_it_reconstructions.MD5SUMS md5:28fd10e109f68e1875ebcc7ce7559776||393 Bytes||Download|
|weighted_it_reconstructions.py md5:276dfd3d124e612cd0cd4a1c00afc1f1||19.0 kB||Download|
|weighted_it_reconstructions.SHA256SUMS md5:d07711fb46bc13db26aeeb3d639f878e||553 Bytes||Download|