Data Sheet 3_From rocks to pixels: a comprehensive framework for grain shape characterization through the image analysis of size, orientation, and form descriptors.csv by A. L. Back (20719049)

“…A total of 51 descriptors, including elongation and Fourier amplitudes, were extracted, compiled, and computed using Python. The descriptor computation code is provided as a library with this article. …”

Data Sheet 10_From rocks to pixels: a comprehensive framework for grain shape characterization through the image analysis of size, orientation, and form descriptors.csv by A. L. Back (20719049)

“…A total of 51 descriptors, including elongation and Fourier amplitudes, were extracted, compiled, and computed using Python. The descriptor computation code is provided as a library with this article. …”

Data Sheet 14_From rocks to pixels: a comprehensive framework for grain shape characterization through the image analysis of size, orientation, and form descriptors.csv by A. L. Back (20719049)

“…A total of 51 descriptors, including elongation and Fourier amplitudes, were extracted, compiled, and computed using Python. The descriptor computation code is provided as a library with this article. …”

Table 2_From rocks to pixels: a comprehensive framework for grain shape characterization through the image analysis of size, orientation, and form descriptors.xlsx by A. L. Back (20719049)

“…A total of 51 descriptors, including elongation and Fourier amplitudes, were extracted, compiled, and computed using Python. The descriptor computation code is provided as a library with this article. …”

Data Sheet 11_From rocks to pixels: a comprehensive framework for grain shape characterization through the image analysis of size, orientation, and form descriptors.csv by A. L. Back (20719049)

“…A total of 51 descriptors, including elongation and Fourier amplitudes, were extracted, compiled, and computed using Python. The descriptor computation code is provided as a library with this article. …”

Data Sheet 1_From rocks to pixels: a comprehensive framework for grain shape characterization through the image analysis of size, orientation, and form descriptors.csv by A. L. Back (20719049)

“…A total of 51 descriptors, including elongation and Fourier amplitudes, were extracted, compiled, and computed using Python. The descriptor computation code is provided as a library with this article. …”

Data Sheet 12_From rocks to pixels: a comprehensive framework for grain shape characterization through the image analysis of size, orientation, and form descriptors.csv by A. L. Back (20719049)

“…A total of 51 descriptors, including elongation and Fourier amplitudes, were extracted, compiled, and computed using Python. The descriptor computation code is provided as a library with this article. …”

Data Sheet 7_From rocks to pixels: a comprehensive framework for grain shape characterization through the image analysis of size, orientation, and form descriptors.csv by A. L. Back (20719049)

“…A total of 51 descriptors, including elongation and Fourier amplitudes, were extracted, compiled, and computed using Python. The descriptor computation code is provided as a library with this article. …”

Data Sheet 6_From rocks to pixels: a comprehensive framework for grain shape characterization through the image analysis of size, orientation, and form descriptors.csv by A. L. Back (20719049)

“…A total of 51 descriptors, including elongation and Fourier amplitudes, were extracted, compiled, and computed using Python. The descriptor computation code is provided as a library with this article. …”

Elements: Streaming Molecular Dynamics Simulation Trajectories for Direct Analysis – Applications to Sub-Picosecond Dynamics in Microsecond Simulations by Matthias Heyden (17087794)

“…We have implemented this streaming interface in the MD engines NAMD, LAMMPS, and GROMACS</p><p dir="ltr">On the client side, we developed the IMDClient Python package which receives the streamed data, stores into a custom buffer, and provides it to external tools as NumPy arrays, facilitating integration with scientific computing workflows. …”

Voxel Dataset by David Towers (12857447)

“…<p>The Voxel dataset is a constructed dataset of 3D shapes designed to present a unique problem for ML and NAS tools. Instead of a photo of a 3D object, we exploit ML's ability to work across N number of 'colour' channels and use this dimension as a third dimension for images.…”

Validation data for paper "SSSort 2.0: A semi-automated spike detection and sorting system for single sensillum recordings" by Lydia Ellison (9272843)

“…</p><p dir="ltr"><b>Abstract</b></p><p dir="ltr">Single-sensillum recordings are a valuable tool for sensory research which, by their nature, access extra-cellular signals typically reflecting the combined activity of several co-housed sensory neurons. …”

Carla Simulator collision scenario DVS Sequences from Bio-inspired event-based looming object detection for automotive collision avoidance by Fabian Schubert (13819882)

“…</li></ul><p dir="ltr">If you only intend to inspect the event data provided here, only the numpy python package is required. To run the looming detection simulation code provided in the repository, installing <a href="https://github.com/genn-team/genn/tree/genn_4_master" rel="noreferrer" target="_blank">PyGeNN 4.9</a> is also necessary.…”

Extreme delta - pydeltaRCM models by Octria Adi Prasojo (10507373)

“…<p dir="ltr">The folder contains the Python codes (.ipynb) to run the pyDeltaRCM models of extreme events impact on delta morphodynamics across five climate regions, along with the modelling results (.nc) presented by the same authors in the manuscript.…”

SPIDER - Synthetic Person Information Dataset for Entity Resolution by Praveen Chinnappa (20835779)

“…</li><li>Duplicate record with a variation in email address</li><li>Duplicate record with last name variation</li><li>Duplicate record with first name variation</li><li>Duplicate record with a nickname</li><li>Duplicate record with near exact spelling</li><li>Duplicate record with only same email and name</li></ol><p dir="ltr"><b>Output Format</b></p><p dir="ltr">The dataset is presented in both JSON and CSV formats for use in data processing and machine learning tools.…”

Investigating the advantages and disadvantages of available open-source frameworks for prototyping data-based applications by eRNZ Admin (6438486)

Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event by Thomas Clemens Carmine (19756929)

“…Includes imputation statistics, data dictionary, and the Python imputation code (Imputation_Air_Pollutants_NABEL.py). …”

PRION Degradome Foundation Atlas by Axel Petzold (7076261)

“…</p><h4><b>Reproducibility</b></h4><p dir="ltr">All datasets can be regenerated using open-source tools (Python, BLAST, SAS). Fully documented Python scripts are included in the repository to ensure transparency, reproducibility, and adaptability across computational environments, following the methodology described in [1].…”

2024 HUD Point in Time Count Data by State and CoC with Serious Mental Illness and Chronic Substance Use Counts by Benjamin Gorman (21648794)

“…</p><p dir="ltr">HUD PIT Count reports for states, Washington, DC, and the 384 CoCs were systematically downloaded from the HUD Exchange website using a Python script developed using Cursor software. Cursor uses large language models, especially Claude Sonnet 4 (Anthropic), to generate code. …”

MSc Personalised Medicine at Ulster University by Steven Watterson (100045)

“…</b> Introducing computational approaches to studying genes, proteins or metabolites, this module teaches Python coding, data analysis and how to work with the databases that support data analysis.…”