Generalized Approximate Message Passing Practical 2D Phase Transition Simulations Dataset 2

This deposition contains the results from a simulation of phase transitions for various practical 2D and 3D problem suites when using the Generalised Approximate Message Passing (GAMP) reconstruction algorithm. The deposition consists of: Five HDF5 databases containing the results from the phase transition simulations (gamp_practical_2d_phase_transitions_ID_[0-4]_of_5.hdf5). The Python script which was used to create the databases (gamp_practical_2d_phase_transitions.py). A Python module with tools needed to run the simulations (gamp_pt_tools.py). MD5 and SHA256 checksums of the databases and Python scripts (gamp_practical_2d_phase_transitions.MD5SUMS / gamp_practical_2d_phase_transitions.SHA256SUMS). The HDF5 databases are 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 scripts are 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

Structure Assisted Compressed Sensing Reconstruction of Undersampled AFM Images Dataset 2

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 ten parts: weighted_it_reconstructions.hdf5.tar.xz.part-00weighted_it_reconstructions.hdf5.tar.xz.part-01weighted_it_reconstructions.hdf5.tar.xz.part-02weighted_it_reconstructions.hdf5.tar.xz.part-03weighted_it_reconstructions.hdf5.tar.xz.part-04weighted_it_reconstructions.hdf5.tar.xz.part-05weighted_it_reconstructions.hdf5.tar.xz.part-06weighted_it_reconstructions.hdf5.tar.xz.part-07weighted_it_reconstructions.hdf5.tar.xz.part-08weighted_it_reconstructions.hdf5.tar.xz.part-09 These tem 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 114 GiB. The simulation results in the database are based on "Atomic Force Microscopy Images of Cell Specimens" and "Atomic Force Microscopy Images of Various 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 and http://dx.doi.org/10.5281/zenodo.60434. 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.

Algorithms for Reconstruction of Undersampled Atomic Force Microscopy Images Dataset

This deposition contains the results from a simulation of reconstructions of undersampled atomic force microscopy (AFM) images. The reconstructions were obtained using a variety of interpolation and reconstruction methods. The deposition consists of: An HDF5 database containing the results from simulations of reconstructions of undersampled atomic force microscopy images (reconstruction_goblet_ID_0_of_1.hdf5). The Python script which was used to create the database (reconstruction_goblet.py). Auxillary Python scripts needed to run the simulations (optim_reconstructions.py, it_reconstruction.py, interp_reconstructions.py, gamp_reconstructions.py, and utils.py). MD5 and SHA256 checksums of the database and Python script files (reconstruction_goblet.MD5SUMS, reconstruction_goblet.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 simulation results in the database are based on "Atomic Force Microscopy Images of Cell Specimens" and "Atomic Force Microscopy Images of Various 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 and http://dx.doi.org/10.5281/zenodo.60434. 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

IoT device identification - Upstairs

Upstairs measurements of the 868 MHz ISM band. The transmitter devices are placed in a room a floor above the measurement setup. Frequency: 863-870 MHz (center 866,5 MHz) Sample Frequency: 10 MSPS Date of measurement: 15 November 2018 Location: Connectivity Lab, Fredrik Bajers Vej 7C, Aalborg University, Denmar

IoT device identification dataset

This is the main record in the IoT device measurements connected to the paper "Identification of IoT Devices using Experimental Radio Spectrum Dataset and Deep Learning". This is a connecting dataset that references all the actual data. The records are split because of the large size of the dataset. The records containing the data are found at the following DOIs: Raw data Other room: 10.5281/zenodo.3646427 Upstairs: 10.5281/zenodo.3641580 Same room: 10.5281/zenodo.3638163 Background measurement: 10.5281/zenodo.3638139 Multi user data (No fading): 10.5281/zenodo.3754210 Multi user data: 10.5281/zenodo.3753003 Cut and dimensionality reduced measurements: 10.5281/zenodo.3752981 Common parameters for all the measurements: Frequency: 863-870 MHz (center 866,5 MHz) Sample Frequency: 10 MSPS Date of measurement: 15 November 2018 Location: Connectivity Lab, Fredrik Bajers Vej 7C, Aalborg University, Denmar

IoT device identification - Multi user data

Artificial multi user observations generated as described in the associated paper Section III. Frequency: 863-870 MHz (center 866,5 MHz) Sample Frequency: 10 MSPS Date of measurement: 15 November 2018 Location: Connectivity Lab, Fredrik Bajers Vej 7C, Aalborg University, Denmar

IoT device identification - Background

Background measurements of the 868 MHz ISM band. Frequency: 863-870 MHz (center 866,5 MHz) Sample Frequency: 10 MSPS Date of measurement: 15 November 2018 Location: Connectivity Lab, Fredrik Bajers Vej 7C, Aalborg University, Denmar

IoT device identification - Other room

Other room measurements of the 868 MHz ISM band. The transmitter device is placed in an adjacent room to the receiver. Both transmitter and receiver are on the same floor. Frequency: 863-870 MHz (center 866,5 MHz) Sample Frequency: 10 MSPS Date of measurement: 15 November 2018 Location: Connectivity Lab, Fredrik Bajers Vej 7C, Aalborg University, Denmar

Structure Assisted Compressed Sensing Reconstruction of Undersampled AFM Images Dataset

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

IoT device identification - Same room

Same room measurements of the 868 MHz ISM band. The transmitter device and receiver are placed in the same room. Frequency: 863-870 MHz (center 866,5 MHz) Sample Frequency: 10 MSPS Date of measurement: 15 November 2018 Location: Connectivity Lab, Fredrik Bajers Vej 7C, Aalborg University, Denmar