Supplementary Material for: The prediction of hematoma growth in acute intracerebral hemorrhage: from 2-dimensional shape to 3-dimensional morphology by figshare admin karger (2628495)

“…We employed Python software to extract shape features, and receiver operating characteristic curve analysis to assess the predictive performance of hematoma morphology for HG. …”

Deakin IoT Traffic Dataset by Aleksandar Pasquini (13092765)

“…This mapping simplifies the identification and filtering of packets belonging to each device within the pcap files. 3 extra CSV (<b>CSVs</b>) files provide metadate about the states that the devices were in at different times. Additionally, Python scripts (<b>Scripts</b>) are provided to assist in extracting and processing packets. …”

Cognitive Fatigue by Rui Varandas (11900993)

“…In our analysis, the first baseline period, although not explicitly present in the dataset, was designated as representing no CF, whereas the final baseline period was designated as representing the presence of CF. …”

Exploring post-wildfire hydrologic response in central Colorado using field observations and the Landlab modeling framework by Jordan Adams (595056)

“…In addition to precipitation, discharge and grain size distribution measurements over the study period, ground surveys and photogrammetry were done at representative cross-sections near the downstream channel outlet to estimate volumes of transported material after different precipitation events. …”

Data Sheet 1_What social media analyses can tell us about Ghanaian women's concerns during pregnancy.pdf by Martina Anto-Ocrah (8293128)

“…Posts were extracted, cleaned, and analyzed using Gensim python library. Topics were generated based on their probabilities and relevance to the study goal.…”

Datasets for Sudianto et al. (2025) Horizontal Gene Transfers Underpin Ribose Heterotrophy and Central Carbon Metabolism Remodeling in Gloeobacteraceae by Edi Sudianto (22479361)

“…<h4>README.md</h4><h4>this file</h4><p><br></p><h4>ali</h4><p dir="ltr">This directory contains an archive (.tar.gz) consisting of the OmpaPa result alignment files with .ali extension</p><p><br></p><h4>alignment-clipkit</h4><p dir="ltr">This directory contains an archive (.tar.gz) consisting of the OmpaPa result alignment files after clipkit trimming</p><p><br></p><h4>Annotation</h4><p dir="ltr">This directory contains an archive (.tar.gz) consisting of the annotation for 343 cyanobacterial genomes used in this study</p><p><br></p><h4>genome</h4><p dir="ltr">This directory contains an archive (.tar.gz) consisting of the 343 genomes used in this study</p><p><br></p><h4>HMMsearch</h4><p dir="ltr">This directory contains an archive (.tar.gz) consisting of the output of profile HMM search in the GTDB R220 representative species search</p><p><br></p><h4>HOG_sequences</h4><p dir="ltr">This directory contains an archive (.tar.gz) consisting of the fasta sequences from HOG of interest in our dataset</p><p dir="ltr"><br></p><h4>OmpaPa_results</h4><p dir="ltr">This directory contains an archive (.tar.gz) consisting of the selected OmpaPa outputs (.list) and their configuration (.json)</p><p><br></p><h4>pHMM</h4><p dir="ltr">This directory contains an archive (.tar.gz) consisting of the profile HMMs of the HOG sequences</p><p><br></p><h4>phy</h4><p dir="ltr">This directory contains an archive (.tar.gz) consisting of the OmpaPa result alignment files with .phy extension</p><p><br></p><h4>script</h4><h4>This directory contains the python script used to extract genomic regions of neighboring gene of interest</h4><p><br></p><h4>speciestree_fasta</h4><p dir="ltr">This directory contains the alignment and idm files for species tree in Figure S1</p><p dir="ltr"><br></p><h4>speciestree_tre</h4><p dir="ltr">This directory contains the .tre file for species tree in Figure S1</p><p dir="ltr"><br></p><h4>tre</h4><p dir="ltr">This directory contains an archive (.tar.gz) consisting of the gene trees derived from OmpaPa result alignments</p><p dir="ltr"><br></p>…”

<b>Rethinking neighbourhood boundaries for urban planning: A data-driven framework for perception-based delineation</b> by Shubham Pawar (22471285)

“…</p><p dir="ltr"><b>Input:</b></p><ul><li><code>svi_module/svi_data/svi_info.csv</code> - Image metadata from Step 1</li><li><code>perception_module/trained_models/</code> - Pre-trained models</li></ul><p dir="ltr"><b>Command:</b></p><pre><pre>python -m perception_module.pred \<br> --model-weights .…”

Endogenous giant viruses in polar microalgae by Mohammad Moniruzzaman (20325651)

“…</p><p dir="ltr">Folder: tnf_calculation_script: Python script, fasta file and viral region coordinate files to calculate and visualize TNF profiles of viral and non-viral regions of Chlamydomonas ICE-L genome.…”

Datasets by Rishabh Das (20960957)

“…The Python program also randomly opens and closes the valve. …”

Building footprtints from 1970s Hexagon spy satellite images for four global urban growth hotspots by Franz Schug (10165159)

“…The data are also provided in a rasterized version with 2-m and 300-m spatial resolution (nearest neighbor resampling).</p> <p>Study site extents (“study_sites”) are provided as vector shape files.…”

Shadowed Realities: An Investigation of UI Attacks in WebXR - Research Artifacts by Chandrika Mukherjee (20576567)

“…These are implemented using Python. The entry point to the scripts is main_analysis.py. …”

Phylogenomics of aquatic bacteria by Krzysztof Jurdzinski (12519700)

“…</p> <p><br></p> <p>all_MSG_ids.txt - a text file with names of all the representative MAGs within all the MSG pairs.</p> <p><br></p> <p>filter_MSGs.py - a Python script to extract the MAGs from within the MSGs (given all_MSG_ids.txt) from a folder containing a larger set of sequences.…”

Hierarchical Deep Learning Framework for Automated Marine Vegetation and Fauna Analysis Using ROV Video Data by Bjørn Christian Weinbach (16918707)

“…</p><ol><li><b>MaskRCNN-Segmented Objects</b>:</li></ol><p dir="ltr"> - `.jpg` files representing segmented objects detected by the MaskRCNN model.…”

<b>Altered cognitive processes shape tactile perception in autism.</b> (data) by Ourania Semelidou (19178362)

“…The perceptual decision-making setup was controlled by Bpod (Sanworks) through scripts in Python (PyBpod, https://pybpod.readthedocs.io/en/latest/). …”

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) by Erola Fenollosa (20977421)

“…The chromatography protocol was based on previous studies, especially <a href="#CIT0031" target="_blank">Jain and Gould (2015<i>b</i></a>). …”

Physiotherapist-Assisted Wrist Movement Protocol for EEG-Based Corticokinematic Coherence Assessment by Fanni Kovács (21733838)

“…</li></ul><h4><b>Usage</b></h4><p dir="ltr">These data can be used to replicate the analyses reported in the manuscript, or for methodological and clinical studies of proprioception using EEG-based CKC.</p><p dir="ltr">Please cite the associated paper when using this dataset.…”