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Kaggle Inc data sources a open access dataset
Data Sources A Open Access Dataset, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/open+source+datasets/access+dataset+open/pm41598615-76-0-5
Average 86 stars, based on 1 article reviews

data sources a open access dataset - by Bioz Stars, 2026-09

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Article Title: A Hybrid Approach to Analyse the Public Sentiment on Covid-19 Tweets
Article Snippet: In this study, we employed freely available open-source datasets from Kaggle.

Article Title: Fake News Detection Using Machine Learning and Natural Language Processing: A Logistic Regression-Based Experimental Study
Article Snippet: This study explores the efficacy of logistic regression for fake news detection using open-source datasets from Kaggle.

Article Title: Identifying shark species using an AlexNet CNN model
Article Snippet: satellite tags or acoustic telemetry, which can be expensive and logistically challenging to deploy and maintain (3).. Sharks may reside in deep-sea regions which poses challenges for data collection, limiting opportunities for observation and research on their behavior, physiology, and ecology (3).. Computer vision algorithms like convolutional neural networks (CNNs) hold great potential for marine biologists and conservationists.

Article Title: FedPneu: Federated Learning for Pneumonia Detection across Multiclient Cross-Silo Healthcare Datasets
Article Snippet: The proposed model was implemented using three different open-source datasets collected from Kaggle.

Article Title: Fake News Detection Using Machine Learning and Natural Language Processing: A Logistic Regression-Based Experimental Study
Article Snippet: Page | 248 explores the efficacy of logistic regression for fake news detection using open-source datasets from Kaggle.

Article Title: A review of plant leaf disease identification by deep learning algorithms
Article Snippet: We supplemented and included over 20 prominent open-source datasets by searching Kaggle, GitHub, and academic institution official websites at the same time.

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$a ) and b ) Gene expression changes within infarcted left ventricle (‘infarct’) are marked at 24- and 48-hours post-MI, as assessed by hierarchical clustering and principal component analyses of the open-source GEO dataset GSE4648 . Analyses carried out using Geo2R and the open-source BART bioinformatics tool. c ) Differential gene expression patterns identified in 24-hour post-MI ventricle compared with sham control. cIAP2 (Birc3) is significantly upregulated. d ) LV infarct region gene expression timecourse of cIAP2 (maroon) and related transcripts cIAP1 (blue) and Xiap (green), contrasted with measured cardiac marker tnnt2 (Cardiac Troponin T) and inflammatory marker cxcl1. e ) Compiled expression timecourse of representative myeloid-related transcripts (maroon) and lymphoid transcripts (blue) from LV infarct region post-MI. ptprc (black) = hematopoietic marker gene transcript. f ) Gene Ontogeny (GO) pathway enrichment following MI identifies multiple networks requiring cIAP2. g ) NOD1 −/− mice have reduced systolic dysfunction and cardiac inflammation following MI relative to WT control mice. Control-operated mice: N = 3; MI-operated mice: N = 5. Ejection fraction: N = 4 MI-operated per group. h ) cIAP2 is expressed at lower levels, along with inflammatory genes RIPK1, IRAK4 and TRAF6, in multiple danger signaling receptor-deficient mouse models following MI. Image is representative of two similar experiments. Error bars denote Mean +/- SD; p values were calculated using one-way ANOVA with Bonferroni’s correction ( g , upper panel) or two-sided t-test ( g , lower panel).$

Journal: Nature Cardiovascular Research

Article Title: Hematopoietic expression of cIAP2 drives inflammation and heart failure after myocardial infarction

doi: 10.1038/s44161-026-00782-x

Figure Lengend Snippet: a ) and b ) Gene expression changes within infarcted left ventricle (‘infarct’) are marked at 24- and 48-hours post-MI, as assessed by hierarchical clustering and principal component analyses of the open-source GEO dataset GSE4648 . Analyses carried out using Geo2R and the open-source BART bioinformatics tool. c ) Differential gene expression patterns identified in 24-hour post-MI ventricle compared with sham control. cIAP2 (Birc3) is significantly upregulated. d ) LV infarct region gene expression timecourse of cIAP2 (maroon) and related transcripts cIAP1 (blue) and Xiap (green), contrasted with measured cardiac marker tnnt2 (Cardiac Troponin T) and inflammatory marker cxcl1. e ) Compiled expression timecourse of representative myeloid-related transcripts (maroon) and lymphoid transcripts (blue) from LV infarct region post-MI. ptprc (black) = hematopoietic marker gene transcript. f ) Gene Ontogeny (GO) pathway enrichment following MI identifies multiple networks requiring cIAP2. g ) NOD1 −/− mice have reduced systolic dysfunction and cardiac inflammation following MI relative to WT control mice. Control-operated mice: N = 3; MI-operated mice: N = 5. Ejection fraction: N = 4 MI-operated per group. h ) cIAP2 is expressed at lower levels, along with inflammatory genes RIPK1, IRAK4 and TRAF6, in multiple danger signaling receptor-deficient mouse models following MI. Image is representative of two similar experiments. Error bars denote Mean +/- SD; p values were calculated using one-way ANOVA with Bonferroni’s correction ( g , upper panel) or two-sided t-test ( g , lower panel).

Article Snippet: Left ventricular expression of gene products over a 48-hour timecourse was catalogued in the National Center for Biotechnology Information (NCBI)-curated, open-source dataset GSE4648 ( GDS2329 ) (for reference, see https://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2329 ).

Techniques: Gene Expression, Control, Marker, Expressing