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: An HDF5 database containing the results from simulations of reconstructions of undersampled atomic force microscopy images (weighted_it_reconstructions.hdf5). The Python script which was used to create the database (weighted_it_reconstructions.py). MD5 and SHA256 checksums of the database and Python script files (weighted_it_reconstructions.MD5SUMS / weighted_it_reconstructions.SHA256SUMS). 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: weighted_it_reconstructions.hdf5.tar.xz.part-00 weighted_it_reconstructions.hdf5.tar.xz.part-01 weighted_it_reconstructions.hdf5.tar.xz.part-02 weighted_it_reconstructions.hdf5.tar.xz.part-03 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.