Table 1_An immunotherapy guide constructed by cGAS-STING signature for breast cancer and the biofunction validation of the pivotal gene HOXC13 via in vitro experiments.docx by Zhenling Dai (22011134)

“…In this study, we aim to explore the role of the cGAS-STING pathway in breast cancer immunotherapy resistance.</p>Methods<p>Multiple machine learning algorithms were applied to construct an immunotherapy subgroup model and in vitro experiments were performed to verify the HOXC13 in regulating BRCA immunity.…”

Image 2_An immunotherapy guide constructed by cGAS-STING signature for breast cancer and the biofunction validation of the pivotal gene HOXC13 via in vitro experiments.tif by Zhenling Dai (22011134)

“…In this study, we aim to explore the role of the cGAS-STING pathway in breast cancer immunotherapy resistance.</p>Methods<p>Multiple machine learning algorithms were applied to construct an immunotherapy subgroup model and in vitro experiments were performed to verify the HOXC13 in regulating BRCA immunity.…”

Image 1_An immunotherapy guide constructed by cGAS-STING signature for breast cancer and the biofunction validation of the pivotal gene HOXC13 via in vitro experiments.tif by Zhenling Dai (22011134)

“…In this study, we aim to explore the role of the cGAS-STING pathway in breast cancer immunotherapy resistance.</p>Methods<p>Multiple machine learning algorithms were applied to construct an immunotherapy subgroup model and in vitro experiments were performed to verify the HOXC13 in regulating BRCA immunity.…”

Supplementary file 1_An interpretable stacking ensemble model for high-entropy alloy mechanical property prediction.docx by Songpeng Zhao (21563714)

“…Three machine learning algorithms-Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Gradient Boosting (Gradient Boosting)-were integrated into a multi-level stacking ensemble, with Support Vector Regression serving as the meta-learner. …”

Supplementary information files for "Explainable machine learning models for predicting the ultimate bending capacity of slotted perforated cold-formed steel beams under distortion... by L Simwanda (19921680)

“…Utilizing a dataset from 432 non-linear finite element analysis simulations of CFS Lipped channels, ten ML algorithms, including four basic and six ensemble models, were evaluated. …”

Data Sheet 1_Migraine triggers, phases, and classification using machine learning models.csv by Anusha Reddy (21297878)

“…This study will only consider using these methods for diagnostic purposes. Models based on these algorithms are then trained using the dataset, which includes a compilation of the types of migraine experienced by various patients. …”

GameOfLife Prediction Dataset by David Towers (12857447)

“…<p dir="ltr">The GameOfLife dataset is an algorithmically generated dataset based off John Horton Conway's Game of Life. …”

Processed InShaPe dataset: Large-scale multi-shape phase retrieval dataset for PBF-LB/M laser beam shaping SLM phase mask estimation. by Shengyuan Yan (22248700)

“…Software. https://doi.org/10.6084/m9.figshare.27650946.v2</p><p><br></p><p dir="ltr">This simulated dataset containing six beam shapes is used for training and testing on the complex forward path application, PBF-LB/M beam shaping system, in our paper "Efficient Gerchberg-Saxton algorithm deep unrolling for phase retrieval with complex forward path". …”

Supplementary materials for PhD thesis - "Ontology mapping with intelligent agents on the Semantic Web : the theory and practice of agent belief and consenus building" by Miklos Nagy (22007560)

“…These algorithms form the core part of the DSSirn ontology mapping system that can use different ontology representations based on Semantic Web standards, such as OWL. …”

MEG data from Headcast recording, cortical surfaces, anatomical MRIs by Gareth Barnes (20780753)

“…We show how these geometric distortions can be used to quantify the performance of MEG source reconstruction algorithms and metrics of fit.</p>…”

MEG evoked response data, MRIs and cortical surfaces by Gareth Barnes (20780753)

“…We show how these geometric distortions can be used to quantify the performance of MEG source reconstruction algorithms and metrics of fit.</p>…”

DATA SHEET.csv by Dola Saha (20556497)

“…Its ability to improve accuracy, efficiency, and consistency in diagnosis makes it an indispensable tool for early detection efforts.This study focuses on developing a machine learning-based predictive model for the early detection and classification of breast cancer, utilizing the Wisconsin Breast Cancer Diagnostic dataset. …”

From GIS to HBIM and Back: Multiscale Performance and Condition Assessment for Networks of Public Heritage Buildings and Construction Components by Teresa Fortunato (21076099)

“…GIS-based inventory approach of networked construction materials, components, and performances is established by unified performance descriptors and diagnostic tests. GIS-BIM data exchange routines by programming codes and algorithms are developed in Python. …”

Supplementary file 1_Local adaptation and validation of a transdiagnostic risk calculator for first episode psychosis using mental health patient records.docx by Elizabeth Ford (381364)

“…Baseline and outcome coded diagnoses were supplemented with NLP-derived diagnosis data. …”

WfCommons: Datasets and tools for advancing scientific workflows (2025) by Henri Casanova (16943691)

“…These datasets will allow, for instance, researchers to obtain novel results by using the provided data to perform sound and informed evaluation of their algorithms, developers to transform the testing and evaluation of the runtime systems they develop, and educators to achieve new learning objectives by exposing students to compelling, real-world scenarios based. …”

A Radiograph Dataset for the Classification, Localization, and Segmentation of Primary Bone Tumors by Shunhan Yao (20296506)

“…However, due to the varyingmorphologies of bone tumors, it is challenging for radiologists to make a definitive diagnosis based on radiographs. …”

Additional file 1 of The two ends of the spectrum: comparing chronic schizophrenia and premorbid latent schizotypy by actigraphy by Szandra László (21420583)

“…There is provided further information about data collection and processing, machine learning algorithms, and other program codes, and more details about the findings…”

Vascular Biometric Graph Comparison: Theory and Performance by Arathi Arakala (18030175)

“…We describe our most recent algorithms for biometric graph registration and comparison, and our performance results. …”

Detection of Polycystic Ovarian Disease Using Probabilistic Optimum Deep Learning Feature Fusion by S. Jothimani (22173866)

“…Reformed differential evaluation (RDE) and reformed grey wolf (RGW) are two enhanced optimisation algorithms used to choose the best features; A unique probability-based serial strategy is employed to combine the best-selected attributes and categorised using deep learning techniques. …”

Cringe - Emotional manipulation as a tool of political control in Albanian digital campaigns (2025) by Edlira Gugu (21793610)

“…</p><p dir="ltr"><b>Key findings include:</b></p><ul><li>Perfect correlation (r = 1.000) between cringe intensity and electoral success</li><li>Identification of six strategic cringe tactics used by politicians</li><li>Discovery of 58 anonymous pages using artificial amplification (ratios up to 396:1)</li><li>Evidence of cringe functioning as affective governance and social control</li></ul><p dir="ltr"><b>Dataset contents:</b></p><ul><li>Full research paper (English & Albanian versions)</li><li>Interactive data visualizations and statistical analysis</li><li>Comprehensive emotions lexicon for cringe phenomenon</li><li>Detailed supplementary materials with coded examples</li><li>Methodology documentation and ethics compliance records</li></ul><p dir="ltr"><b>Methodology:</b> Mixed-methods approach combining computational analysis with qualitative discourse analysis. …”