Void-Center Galaxies and the Gravity of Probability Framework: Pre-DESI Consistency with VGS 12 and NGC 6789 by Jordan Waters (21620558)

“…<p dir="ltr"><b>The work presented here is a unique application and requires an understanding of the primary framework used, otherwise the application will not be understood clearly:</b><br><br><b>The full framework is presented in the main </b><a href="https://figshare.com/articles/thesis/The_Gravity_of_Probability_i_Replicating_Dark_Matter_Effects_Through_Quantum_Decoherence_Curvature_i_/29815934" rel="noreferrer" target="_blank"><b>thesis</b></a><b> (DOI: 10.6084/m9.figshare.29815934).…”

DTU PV plant - Drone Infrared Thermography Dataset: Influence of Irradiance and Altitude by Rodrigo Del Prado Santamaria (11464057)

“…Four altitudes and irradiacnes were collected for each of the modules under study. Furthermore, the dataset contains IV curves and EL images of each module as a reference. …”

Table 1_AI-enabled pipeline for virus detection, validation, and SNP discovery from next-generation sequencing data.xlsx by Abozar Ghorbani (5081753)

“…Background and Aims<p>The rapid and accurate detection of viruses and the discovery of single nucleotide polymorphisms (SNPs) are critical for disease management and understanding viral evolution. This study presents a pipeline for virus detection, validation, and SNP discovery from next-generation sequencing (NGS) data. …”

ML model for prediction of postpartum rehospitalization in pregnant women/new mothers using readily obtainable pre-pregnancy or early pregnancy sociodemographic and health determin... by Martin Frasch (5754731)

“…</li><li>This model delivers a 3,492% ROI over 5 years with $325,080 annual net benefit per 10,000 deliveries in the U.S.A.</li><li>Here, we present an open-access Python code including the ML model for inference to facilitate prospective utilization of the developed model and further study of the nuMoM2b and similar datasets with machine learning approaches.…”

Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat. by Enrico Bertozzi (22461709)

“…Results: The main finding of the study was the stagnation of the classifier's performance, which presented a stable accuracy of 70.28% across all tested approaches. …”

Code and data for reproducing the results in the original paper of DML-Geo by Pengfei CHEN (8059976)

“…<p dir="ltr">This asset provides all the code and data for reproducing the results (figures and statistics) in the original paper of DML-Geo</p><h2>Main Files:</h2><p dir="ltr"><b>main.ipynb</b>: the main notebook to generate all the figures and data presented in the paper</p><p dir="ltr"><b>data_generator.py</b>: used for generating synthetic datasets to validate the performance of different models</p><p dir="ltr"><b>dml_models.py</b>: Contains implementations of different Double Machine Learning variants used in this study.…”

Overview of generalized weighted averages. by Nobuhito Manome (8882084)

“…<div><p>The multi-armed bandit (MAB) problem is a classical problem that models sequential decision-making under uncertainty in reinforcement learning. In this study, we propose a new generalized upper confidence bound (UCB) algorithm (GWA-UCB1) by extending UCB1, which is a representative algorithm for MAB problems, using generalized weighted averages, and present an effective algorithm for various problem settings. …”

Image 1_Pheochromocytoma metastasis to the central nervous system: a case report and systematic review.png by Justyna Małgorzata Fercho (22116412)

“…Data on demographics, symptoms, imaging, treatments, and outcomes were extracted and descriptively analyzed using Python-generated graphics.</p>Results<p>This review identified 18 cranial (1948–2022) and 60 spinal (1977–2024) metastasis cases from 53 studies. …”

Physics-Informed Neural Networks to Develop Site-specific Pedotransfer Functions by Pengfei Qi (21994133)

“…The “SPTFs.ipynb” script presents a case study for the definition, training, and evaluation of SPTF(FXW-M3), incorporating relevant data and technical details. …”

Unfiltered TCR beta chain calls for 463 cancer samples and 587 control subjects by Yilong Li (20428445)

“…See the following instructions for reading this file using R (<a href="https://arrow.apache.org/docs/r/reference/read_feather.html">link</a>) or Python (<a href="https://docs.pola.rs/api/python/stable/reference/api/polars.read_ipc.html">link</a>).…”

Data supporting "Exploring flicker light mechanisms" by James Thurbon (14701666)

“…<p dir="ltr">The data here was generated during the study "Exploring flicker light mechanisms". This study measured personal characteristics before three magnetoencephalography (MEG) scans, investigating brain activity during rest and different flicker light conditions. …”

Source Data for Figures in Spatial colocalization and molecular crosstalk of myofibroblastic CAFs and tumor cells shape lymph node metastasis in oral squamous cell carcinoma by Ken Furudate (13018584)

“…This deposit provides the specific data subsets or processed values used to generate the final figures presented in our study.</p><ul><li>The raw sequencing reads for the primary spatial transcriptomics experiments are available at DDBJ under BioProject accession PRJDB13905 (https://ddbj.nig.ac.jp/search/entry/bioproject/PRJDB13905).…”

Endothelial cells stably infected with recombinant Kaposi’s sarcoma-associated herpesvirus display distinct viscoelastic and morphological properties by Majahonkhe Shabangu (17340538)

“…<p dir="ltr">Data and code supporting work presented in article.</p><p dir="ltr">File: 01_preprocessing_macro.ijm</p><p dir="ltr">Description: A simplified macro outlining time-lapse image pre-processing prior to mitochondria-tracking analysis in TrackMate (Image J). …”

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].…”

Genomic Surveillance of Pemivibart (VYD2311) Escape-Associated Mutations in SARS-CoV-2: December 2025 BioSamples (n=2) by Tahir Bhatti (20961974)

“…<p dir="ltr">This dataset presents computational analyses of two SARS-CoV-2 BioSamples sequenced in December 2025, processed to assess the genomic presence of mutations associated with pemivibart (VYD2311) monoclonal antibody escape. …”

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). …”

LNP drug delivery image data by Philip Harrison (8899735)

“…The results highlight the benefit of accounting for temporal dynamics when studying drug delivery using high content imaging.</div><div><br></div><div><u>Python code:</u></div><div><a href="https://github.com/pharmbio/phil_LNP_modelling">https://github.com/pharmbio/phil_LNP_modelling</a><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><p></p>…”

Replication Package: "The SBOM Gap: Adoption and Compliance in Open Source Software" by anonymous author (14191683)

“…<p dir="ltr">Replication Package Structure:</p><p dir="ltr">The replication package contains all data and scripts necessary to reproduce the analyses and results presented in this study.</p><p><br></p><p dir="ltr">replication_package/</p><p>│</p><p dir="ltr">├── data/</p><p dir="ltr">│ ├── sbom_repo_paths.csv # Repository paths and metadata for analyzed projects</p><p dir="ltr">│ ├── sbom_project_features.csv # Extracted features for SBOM projects</p><p dir="ltr">│ ├── non_sbom_project_features.csv # Extracted features for non-SBOM projects</p><p dir="ltr">│ └── SBOM_files/ # Raw SBOM files collected from selected repositories</p><p>│</p><p dir="ltr">└── code/</p><p dir="ltr"> ├── RQ1_regression/ # Scripts for regression analysis (RQ1)</p><p dir="ltr"> │ ├── regression.R # Main regression analysis script</p><p dir="ltr"> │ └── common.R # Shared functions for data filtering and formatting</p><p> │</p><p dir="ltr"> └── RQ2_compliance/ # Scripts for compliance and coverage checks (RQ2)</p><p dir="ltr"> ├── check_component_name.py</p><p dir="ltr"> ├── check_component_version.py</p><p dir="ltr"> ├── check_supplier.py</p><p dir="ltr"> ├── check_unique_identifiers.py</p><p dir="ltr"> ├── check_sbom_author.py</p><p dir="ltr"> ├── check_timestamp.py</p><p dir="ltr"> ├── check_dependency.py</p><p dir="ltr"> ├── check_hash.py</p><p dir="ltr"> ├── check_lifecycle_phase.py</p><p dir="ltr"> ├── check_license.py</p><p dir="ltr"> ├── check_vex.py</p><p dir="ltr"> ├── check_transitive_dependency.py</p><p dir="ltr"> ├── check_circular_dep.py</p><p dir="ltr"> └── check_all_7_min_req_files.py</p><p dir="ltr"><br></p><p dir="ltr"><br></p><p><br></p><p dir="ltr">Folder Descriptions:</p><p><br></p><p dir="ltr">data/: Contains datasets and raw SBOM files used in the analysis.…”

New product development in the industry 4.0 era: a literature review and research agenda by Thiago Augusto Aniceski (22401616)

Supplementary Material for: As Seen on Social Media: Mixed-Methods Analysis of Bell’s Palsy Perspectives by figshare admin karger (2628495)

“…Transcripts were generated via Python. Directed content analysis used the FaCE Scale to derive themes. …”