Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
613
datasets available to search
ShareScore release 0.9.0
Dataset results
613 results for “stress analysis”
Analysis files for MSC Marc finite element software, Article: The analysis of shrink-fit connection – the methods of heating and the factors influencing the distribution of residual stresses
<p>This archive contains model files for Finite Element Analysis of the shrink-fit connection in crankshaft and the files for charts in GNUPlot.</p>
Analysis code and quantification for publication "The stress-sensing domain of activated IRE1α forms helical filaments in narrow ER membrane tubes"
<p>Analysis code and input/output files for all quantifications performed for publication entitled "The stress-sensing domain of activated IRE1α forms helical filaments in narrow ER membrane tubes." </p> <p>All questions on the analyses or code can be directed to han@walterlab.ucsf.edu</p>
Exploring Korean adolescent stress on social media: A semantic network analysis
<p><strong>Korean Adolescent's Stress Semantic Network Analysis Project</strong></p> <p>Semantic Network Analysis for Korean Adolescent's Stress</p> <p>Input data file</p> <ul> <li>data_news.csv : News data collected from Naver(<a href="https://www.naver.com">https://www.naver.com</a>)</li> <li>data_blog.csv : Blog data collected from Naver(<a href="https://www.naver.com">https://www.naver.com</a>) and Daum(<a href="https://www.daum.net">https://www.daum.net</a>)</li> </ul> <p>Output files</p> <ul> <li>Frequency Table of Each word in Documents (<em><strong>freq_news.csv</strong></em>, <em><strong>freq_blog.csv</strong></em>)</li> <li>TF-IDF(Term Frequency-Inverse Document Frequency) Table of Each word in Documents (<em><strong>tfidf_news.csv</strong></em>, <em><strong>tf_idf_blog.csv</strong></em>)</li> <li>Frequency Table of 30 keywords in Documents (<em><strong>freq_news_30.csv</strong></em>, <em><strong>freq_blog_30.csv</strong></em>)</li> <li>DTM(Document Term Matrix) of 30 keywords in Documents (<em><strong>DTM_news_30.csv</strong></em>, <em><strong>DTM_blog_30.csv</strong></em>)</li> <li>COM(Co-Occurrence Matrix) of 30 keywords in Documents (<em><strong>COM_news_30.csv</strong></em>, <em><strong>COM_blog_30.csv</strong></em>)</li> <li>Binary COM of 30 keywords in Documents (<em><strong>BinaryCOM_news_30.csv</strong></em>, <em><strong>BinaryCOM_blog_30.csv</strong></em>)</li> <li>Centrality Table of 30 keywords in Documents (<em><strong>centrality_news_30.csv</strong></em>, <em><strong>centrality_blog_30.csv</strong></em>)</li> </ul>
Dataset of systematic literature review of paper "Analysis of The Impact of Heat Stress on Embryo Development"
<p>This the dataset of the paper. It included</p> <p>1. Abstract of papers</p> <p>2. Details of papers</p> <p>3. PRISMA checklist </p>
Comparative transcriptomic analysis reveals coordinated mechanisms of different genotypes of common vetch in response to Al stress
<p><strong>Supplementary Table</strong></p>
Network analysis reveals that acute stress exacerbates gene regulatory responses of the gill to seawater in Atlantic salmon
Open the record for dataset details and reuse information.
Multi-omics analysis reveals the glycolipid metabolism response mechanism in the liver of Genetically Improved Farmed Tilapia (GIFT, Oreochromis niloticus) under hypoxia stress
Open the record for dataset details and reuse information.
Data from: Spatial analysis of mitochondrial gene expression reveals dynamic translation hubs and remodeling in stress
Open the record for dataset details and reuse information.
Stress driver analysis of annual wild soybean (Glycine soja) population decline and implications for the protection of wild soybean populations in China
Open the record for dataset details and reuse information.
Identification and selection of optimal reference genes for qPCR-based gene expression analysis in Fucus distichus under various abiotic stresses
Open the record for dataset details and reuse information.
Data to accompany manuscript: Detection and tracking of cracks based on thermoelastic stress analysis
<p>Thermoelastic stress analysis datasets were collected during tensile loading of hole-in-plate aluminium alloy specimens, at both constant amplitude and frequency conditions, and at variable amplitude and frequency conditions - based on an idealised flight cycle. Data were collected during initiation and propagation of a fatigue crack and monitored using three types of infra-red detector at different price points.</p> <p> </p> <p>--------------------------</p> <p>This dataset accompanies the manuscript:</p> <p>Detection and tracking of cracks based on thermoelastic stress analysis</p> <p>Middleton C. A.1, Weihrauch, M.1, Christian, W. J. R.1, Greene, R. J.2, and Patterson, E. A.1</p> <p>1School of Engineering, University of Liverpool, The Quadrangle, Brownlow Hill, Liverpool, L69 3GH, U.K.<br> 2Strain Solutions Ltd, Dunston Innovation Centre, Dunston Road, Chesterfield, Derbyshire S41 8NG, U.K.</p> <p>Royal Society Open Science, Accepted: 26 November 2020</p> <p> </p> <p> </p>
Data from: Machine learning-based differential network analysis: a study of stress-responsive transcriptomes in Arabidopsis thaliana
Machine learning (ML) is an intelligent data mining technique that builds a prediction model based on the learning of prior knowledge to recognize patterns in large-scale data sets. We present an ML-based methodology for transcriptome analysis via comparison of gene coexpression networks, implemented as an R package called machine learning–based differential network analysis (mlDNA) and apply this method to reanalyze a set of abiotic stress expression data in Arabidopsis thaliana. The mlDNA first used a ML-based filtering process to remove nonexpressed, constitutively expressed, or non-stress-responsive "noninformative" genes prior to network construction, through learning the patterns of 32 expression characteristics of known stress-related genes. The retained "informative" genes were subsequently analyzed by ML-based network comparison to predict candidate stress-related genes showing expression and network differences between control and stress networks, based on 33 network topological characteristics. Comparative evaluation of the network-centric and gene-centric analytic methods showed that mlDNA substantially outperformed traditional statistical testing–based differential expression analysis at identifying stress-related genes, with markedly improved prediction accuracy. To experimentally validate the mlDNA predictions, we selected 89 candidates out of the 1784 predicted salt stress–related genes with available SALK T-DNA mutagenesis lines for phenotypic screening and identified two previously unreported genes, mutants of which showed salt-sensitive phenotypes.
Data from: Worldwide analysis of reef surveys sorts coral taxa by associations with recent and past heat stress
<p>Data and scripts from the publication "Worldwide analysis of reef surveys sorts coral taxa by associations with recent and past heat stress". Read the readme.pdf document for details. </p>
Structural Health Monitoring via Thermoelastic Stress Analysis with low-cost sensors for the characterization of composite GFRP materials
Open the record for dataset details and reuse information.
The data and analysis code used to produce the nanomechanical plots in "Stress control of tensile-strained In_{1-x}Ga_{x}P nanomechanical string resonators"
<p>Data and code for figures in "Stress control of tensile-strained In_{1-x}Ga_{x}P nanomechanical string resonators"</p>
Multi-omics analysis reveals attenuation of cellular stress by Empagliflozin in High Glucose-treated human cardiomyocytes.
<p>Mass spectrometry raw data for the manuscript <strong>Multi-omics analysis reveals attenuation of cellular stress by Empagliflozin in High Glucose-treated human cardiomyocytes.</strong></p>
Fig. 1 in Comparative metabolomics analysis of the response to cold stress of resistant and susceptible Tibetan hulless barley (Hordeum distichon)
Fig. 1. HCA and PCA of metabolite profiles under different temperatures of different varieties. (A) Heatmap of the metabolites detected in the total samples. Red indicates high abundance, green indicates low abundance. Metabolites were divided into three main clusters (1, 2, 3). (B) Score plot of PCA of metabolite datasets of the different samples. Each point represents one metabolite profiling experiment. There were three biological repeats for each temperature. 1/2/3/4/5/6 represent the different temperatures: 24 °C/12 °C/ 5 °C/0 °C/–5 °C/–8 °C, respectively. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Comparative metabolomics analysis of the response to cold stress of resistant and susceptible Tibetan hulless barley (Hordeum distichon)
Fig. 5. Abundance of the metabolites enriched in glutathione metabolism during cold treatment. Fold changes in metabolite levels under the indicated temperatures in XL and ZQ are shown; red represents upregulation, blue represents downregulation. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in Comparative metabolomics analysis of the response to cold stress of resistant and susceptible Tibetan hulless barley (Hordeum distichon)
Fig. 4. Analysis of DAMs in XL and ZQ. (A) Venn diagram of DAMs between cold stress and control conditions (ZQ1) in ZQ. (B) Venn diagram of DAMs between cold stress and control conditions (XL1) in XL. (C, D) Top 10 upregulated and downregulated DAMs in XL (C) and ZQ (D) plants exposed to −8 °C or 24 °C.
Fig. 3 in Comparative metabolomics analysis of the response to cold stress of resistant and susceptible Tibetan hulless barley (Hordeum distichon)
Fig. 3. DAMs in XL and ZQ plants exposed to freezing stress compared to the control condition. Metabolites significantly altered in XL, but not in ZQ plants exposed to freezing stress compared to the control condition (24 °C).
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.