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27,720 results for “ADULTS”
Data to support "Stochastic density effects on adult fish survival and implications for population fluctuations"
Data on stage-specific abundance of black surfperch (Embiotoca jacksoni), the amount of foraging habitat and the availability of surfperch prey (crustaceans) were collected at fixed sites on the north shore of Santa Cruz Island, California annually (autumn) from 1993-2009. Data are grouped into four regions. Counts of fish distinguished among young-of-year, juveniles (1 year old) and adults (>= 2 years old). These data have been presented in Okamoto, D. K., R. J. Schmitt and S. J. Holbrook. 2016. Sochastic density effects on adult fish survival and implications for population fluctuations. Ecology Letters, 19:153-162. doi: 10.1111/ele.12547.
Examining effects of arousal on responses to salient and non-salient stimuli in younger and older adults
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Neuroimaging predictors of creativity in healthy adults
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Differences in Chemo-signaling Compound-Evoked Brain Activity in Male and Female Young Adults: A Pilot Study in the Role of Sexual Dimorphism in Olfactory Chemo-Signaling
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Investigating the Effects of Embodiment on Emotional Categorization of Faces and Words in Children and Adults
<p>The three data files uploaded here contain the data used for the analyses in experiments 1a, 1b, and 2 as described in the article carrying the same title as this dataset, published in the journal Frontiers in Psychology. All analyses were carried out in SPSS version 22 as described in the published article.</p> <p>Article Abstract:</p> <p>The facial feedback hypothesis (FFH) indicates that besides being involved in the production of facial expressions, the musculature of the face also influences one’s perception of emotional stimuli. Recently, this effect has been the focus of increased scrutiny as efforts to replicate a key study with adult participants supporting this hypothesis, using the so-called “pen-in-the-mouth” task, have not been successful at several labs. Our series of experiments attempted to investigate whether the assumed embodiment effect can be reproduced in a simplified emotional categorization task for emotional faces and words. We also wanted to test whether the embodiment effect can be detected in children because it is assumed that their bodily processes are especially closely linked with their sensory and cognitive processes. Our experiments involved child and adult participants categorizing faces and words as positive or negative as quickly as possible, while inducing a positive or negative facial or bodily state (holding a straw in the mouth such that a smile or a frown was generated, or creating a positive or negative body posture). The positive or negative facial and bodily states could therefore be either congruent or incongruent with the valence of the target face and word stimuli. Our results did not show any significant differences between the congruent and incongruent conditions in either children or adults. This suggests that embodiment effects either do not significantly impact valence-based categorization or are not strong enough to be detected by our approach considering the sample size in the present study.</p>
Body measurements of human adults, with repeated readings
<p>This data file contains body measurements of participants of a course in morphometrics. The data are entirely anonymized and the compliance for publication of the data in the present form was obtained from each person.</p> <p>The participants were asked to measure themselves twice at intervals of one or two days, which resulted in reading a and reading b. The following measurements were taken (in mm):</p> <p>arm.l -> arm length<br> bod.h -> total body height<br> foo.l -> foot length<br> hea.c -> head circumference<br> leg.l -> leg length</p> <p>The dataset may be considered for demonstration of measurement error.</p>
EACTS Adult Cardiac Database (ACD)
<div> <h2>EACTS is the home for the global cardiothoracic surgical community.</h2> </div> <p>We exist to improve outcomes for patients with heart and lung conditions by supporting the global surgical cardiothoracic community and informing best practice with first-class education, cutting-edge learning opportunities, world-renowned journals and publications and pioneering research.</p> <p><a href="https://www.eacts.org/" rel="nofollow">https://www.eacts.org/</a></p> <div> <h3>About the ACD</h3> </div> <p>The EACTS Adult Cardiac Database (ACD) is a collaborative registry and benchmarking tool of cardiac surgical data for centres on an international scale, giving surgical teams the advanced data tools and insights to continually improve outcomes for patients.</p> <div> <h3>Register your interest</h3> </div> <p><a href="https://airtable.com/appRF0GOfjFh6RtRS/pagHKi67AmcK76r2R/form">https://airtable.com/appRF0GOfjFh6RtRS/pagHKi67AmcK76r2R/form</a></p> <p> </p>
Dataset for "Olfactory system structure and function in newly hatched and adult locusts"
<p>This directory contains data for the article "Olfactory System Structure and Function in Newly Hatched and Adult Locusts" by Sun, Kui, Subhasis Ray, Nitin Gupta, Zane N. Aldworth, and Mark A. Stopfer. 2023.</p><p>- The folders with extension .zarr can be read with xarray package as Datasets.</p><p>- The files with extension .mat are matlab data files.</p>
Raw data of healthy children and adults in a visual learning task, a conditional learning task and a transitive inference task.
<p>Raw data of 71<strong> </strong>healthy children (31 girls; average age: 6.42 years; range: 2.95-11.64 years at the beginning of the study) in a visual learning task, a 3-item conditional learning task, and a 5-item conditional learning and transitive inference task.</p><p>Raw data of 22 healthy adults (11 femaleswomen; average age: 26.05 years; range: 20.32-29.76 years at the beginning of the study) in a visual learning task, a 3-item conditional learning task, and a 5-item conditional learning and transitive inference task.</p>
A Comprehensive Dataset for Webpage Classification (Part 1: Adult & Malicious)
<p>This dataset, split across three parts due to Zenodo's size constraints, serves as a fundamental resource for enhancing webpage classification techniques. It encompasses 1,069,715 URLs, each annotated with labels to signify their categorization into Malicious, Benign, or Adult content, and further into 20 detailed sublabels for granular analysis. The dataset is designed to facilitate the evaluation and benchmarking of machine learning models, notably Stochastic Gradient Descent (SGD) and Support Vector Classifier (SVC), across a variety of tokenization methods and input types, including URLs, raw HTML, and parsed HTML content.</p> <p>The primary objective of assembling this dataset is to support research into effective webpage classification, thereby improving content prioritization and filtering in web crawling applications. It has been meticulously curated to provide a robust framework for studying the impact of different feature representation techniques on classification accuracy.</p> <p>The dataset is structured as JSON lines (jsonl) files, with each entry detailing a URL's label, sublabel, source, status code, and HTML content. This comprehensive dataset is divided into three parts due to size constraints on Zenodo, each targeting specific content categories to ensure ease of use and accessibility for researchers:</p> <ul> <li><strong>Part 1: Adult & Malicious</strong> encompasses URLs classified under Adult and Malicious categories, offering insights into content that requires stringent filtering.</li> <li><strong>Part 2: Benign 1</strong> and <strong>Part 3: Benign 2</strong> cover benign URLs, facilitating the study of safe web content and its classification nuances.</li> </ul> <p>We also created a .csv file without the HTML content so it is easier to work with URLs only, this .csv file contains the next columns `['uid', 'url', 'label', 'sublabel']`</p> <p>By providing this dataset, we aim to contribute significantly to the field of webpage classification, offering a valuable asset for researchers and practitioners looking to advance the state of web crawling technology and its applications.</p> <p>JSON line format for each line:</p> <p><code>{"url": "<URL>", "label": "<Label>", "sublabel": "<Sublabel>", "source": "<Source of this URL>", "status_code": <Status Code>, "html": "<HTML Textual Content>"}</code><br><br><strong>Other parts of this dataset:</strong></p> <ul> <li><a title="A Comprehensive Dataset for Webpage Classification (Part 2: Benign 1)" href="../records/10795435">A Comprehensive Dataset for Webpage Classification (Part 2: Benign 1)</a></li> <li><a title="A Comprehensive Dataset for Webpage Classification (Part 3: Benign 2)" href="../records/10795437">A Comprehensive Dataset for Webpage Classification (Part 3: Benign 2)</a></li> </ul> <p> </p> <p><strong>Citation</strong></p> <p>if you use this dataset, please cite us:</p> <p><code>Al-Maamari, M., Istaiti, M., Zerhoudi, S., Dinzinger, M., Granitzer, M. and Mitrovic, J., A COMPREHENSIVE DATASET FOR WEBPAGE CLASSIFICATION.</code></p> <p>https://ca-roll.github.io/downloads/A_Comprehensive_Dataset_for_Webpage_Classification.pdf</p> <p> </p> <p><code>Granitzer, M., Voigt, S., Fathima, N.A., Golasowski, M., Guetl, C., Hecking, T., Hendriksen, G., Hiemstra, D., Martinovič, J., Mitrović, J. and Mlakar, I., 2023. Impact and development of an Open Web Index for open web search. <em>Journal of the Association for Information Science and Technology.</em></code></p> <p>https://doi.org/10.1002/asi.24818</p>
Fetal exposure to the Ukraine famine of 1932-1933 and adult Type 2 Diabetes Mellitus (Public data and analytical code)
<p><strong>Abstract</strong></p> <p>The short-term impact of famines on death and disease is well documented but it is difficult to estimate their potential long-term impact. We used the setting of the man-made Ukrainian Holodomor famine of 1932-1933 to examine the relationship between prenatal famine and adult Type 2 diabetes mellitus (T2DM). This ecological study included 128,225 T2DM cases diagnosed between 2000-2008 among 10,186,016 male and female Ukrainians born between 1930 and 1938. Individuals who were born in the first half-year of 1934, and hence exposed in early gestation to the mid-1933 peak famine period, had a larger than two-fold likelihood of T2DM (OR 2.21; 95% CI 2.00-2.45) compared to unexposed controls. There was a dose-response relationship between severity of famine exposure and adult T2DM risk comparing individuals born in regions with severe, very severe, and extreme famine to births in the no-famine region.</p> <p> </p> <p><strong>Description of the data and analytical code</strong></p> <p>In exploratory analyses we first examined whether the odds for T2DM were elevated for any month of birth in the period January 1930 to December 1938 in any of the four regions of varying famine intensity. This was achieved by comparing, within each region, the T2DM odds for births in any month and year of birth relative to the T2DM odds for births in the same month combining all other years of birth. The analysis served to identify potential relations of famine with specific months and years of birth, controlling for month of birth effects. We observed increased T2DM odds ratios for births between January and June 1934 in famine-exposed oblasts, with smaller increases for births in 1935 and 1936 in these months. Our findings suggested that in multivariate modelling statistical control for month of birth effects could be accomplished by adjusting for the January-June period. Our findings are presented in the data file '01 Odds Ratio for T2DM Over Time' and show the odds ratios (ORs) for Type 2 Diabetes Mellitus (T2DM) comparing the region-specific T2DM odds for each birth year and month relative to births in the same months but combining all other years of birth. The R syntax file '01 Odds of T2DM Over Time Figure' provides the code necessary to reproduce the figure.</p> <p> </p> <p>For confirmatory analyses we employed a Difference-in-Differences approach to quantify associations between prenatal exposure to famine and T2DM, taking into account year of birth, half-year of birth (Jan-Jun vs Jul-Dec), region, and their interactions. This analysis was conducted initially for each gender separately and then for both genders combined, adjusting for We carried out sensitivity analyses to assess potential changes in T2DM odds arising from the use of pre-famine births vs post-famine births as controls. Our findings are presented in the data file '02 Ukraine Famine 1932-33 Main Data'. Information on the number of T2DM cases by gender, region of residence, and year and month of birth 1930-1938 in Ukraine was collected by the national Ukraine Diabetes Register (Komisarenko Institute of Endocrinology and Metabolism, Kyiv) between 2000-2008. The number of births in the same subgroups, representing the populations at risk for T2DM, was estimated by demographic population reconstruction methods as reported in the publication. We classified the birth counts by year of birth, the semi-annual birth period (January-June vs. July-December), region of birth, and gender. The SPSS syntax file titled '02 Ukraine Famine 1932-33 Main Analysis' provides the code to replicate our main findings as presented in the publication.</p> <p> </p> <p>In a separate analysis we visualized by a meta-regression approach the relation between famine intensity at the oblast level in 1933 and the odds for adult T2DM. The data required for the replication of our findings are included in the file '03 Odds Ratio for T2DM and Famine Intensity at Oblast Level'. The R syntax file titled '03 Ukraine Famine 1932-33 Meta-regression' provides details on conducting the meta-regression using the R package ‘metafor’.</p> <p> </p> <p><strong>Funding</strong></p> <p>Ukraine State complex program Diabetes Mellitus, project number 0106U000844 (M.K.). Holodomor Research and Education Consortium in Canada (L.H.L., O.W.). NIDI-NIAS Fellowship of the Royal Netherlands Academy of Sciences (L.H.L.). National Institute of Aging R01 AG028593 (L.H.L.). National Institute of Aging R01 AG06687 (L.H.L.).</p> <p> </p> <p><strong>Sharing/Access information</strong></p> <p>Data sharing and use are unrestricted with acknowledgement of the original publication and listing of the funding sources as per the above. Researchers are encouraged to contact the Principal Investigators (PIs) for consultations on data structure and use as needed (L.H. Lumey, <a href="mailto:lumey@columbia.edu">lumey@columbia.edu</a>; Oleh Wolowyna, <a href="mailto:olehw@aol.com">olehw@aol.com</a>).</p>
Adult baobab trees's distribution map across Sahel
<p><span>The baobab tree (<em>Adansonia digitata</em> <em>L.</em>) is an integral part of rural livelihoods throughout the African continent. However, the combined effects of climate change and increasing global demand for baobab products are currently exerting pressure on the sustainable utilization of these resources. Here we employ sub-meter resolution satellite imagery to identify nearly 3</span><span> million baobab trees in the Sahel, a dryland region of 1.5 million km<sup>2</sup>. This achievement is considered an essential step towards improving valuable woody species' management and monitoring system. To prevent mismanagement of this specific tree species, we aggregated every single adult baobab tree map to<span> 5 <span>× </span>5 km grids. We also classified the baobab trees using the tree crown diameters( small: 3-9m; medium 9m-13m; large: >13m). The baobab tree count map is also available for this three different size classes.</span></span></p>
Perception and evaluation of (modified) wood by older adults from Slovenia and Norway (Datasets, R analysis code, and supplementary tables)
<p>This entry contains datasets, R analysis code, and supplementary tables for the article <em>Perception and evaluation of (modified) wood by older adults from Slovenia and Norway.</em></p> <p>The article investigates human perception and evaluation of handrails made of different materials. Our goal was to identify how older adults perceive handrails made of unmodified wood, modified wood, and steel. We examined if certain materials are more preferred than others, which material properties might be associated with differences in human preference, and what are the roles of tactile and tactile-visual domains in material perception. Our analysis is based on the results from an 11-item rating scale and a ranking task.</p>
Nationally Representative Social Contact Patterns among U.S. adults, August 2020-September 2021
<p>The CovidVu study is a national probability survey that collected data on SARS-CoV-2 infection in the U.S. in three rounds: August-December 2020, March-April 2021, and July-September 2021. The goal of this study was to estimate cumulative incidence of SARS-CoV-2 infection in the United States. Surveys were mailed to randomly sampled households in the U.S., and one adult member of the household filled out the questionnaire and sent back SARS-CoV-2 specimens for testing. The data collected included information on social contacts by age, location, and whether they were physical or nonphysical contacts, as well as key demographic information on participants. Survey weights were used to determine unbiased estimates of key parameters, and were based on the population of noninstitutionalized, housed adults (>=18 years of age) in the U.S. Weights were calculated with respect to gender, age, race/ethnicity, education, income, marital status, and census division. For more in-depth information, please visit https://prismhealth.emory.edu/covidvu/ to view recent publications using this data.</p>
Adult dataset preprocessed
<p>The files "adult_train.csv" and "adult_test.csv" contain preprocessed versions of the <a href="https://archive.ics.uci.edu/dataset/2/adult">Adult dataset</a> from the USI repository.</p> <p>The file "adult_preprocessing.ipynb" contains a python notebook file with all the preprocessing steps used to generate "adult_train.csv" and "adult_test.csv" from the original <a href="https://archive.ics.uci.edu/dataset/2/adult">Adult dataset</a>.</p> <p>The preprocessing steps include:</p> <ol> <li>One-hot-encoding of categorical values</li> <li>Imputation of missing values using knn-imputer with k=1</li> <li>Standard scaling of ordinal attributes</li> </ol> <p>Note: we assume the scenario when the test set is available before training (every attribute besides the target - "income"), therefore we combine train and test sets before the preprocessing. </p>
laparocerus tessellatus adult full-body transcriptome
<p>Pooled transcriptome of two males and two females, Anaga peninsula, Tenerife, 2015.</p> <p>TruSeq Stranded mRNA kit, HiSeq paired-end 100bp.</p> <p>Trinity v2.0.6</p> <p>Longest isoforms only</p> <p> </p> <p> </p>
Data and materials for Wallace et al (2018) Self-report versus electronic medical record recorded healthcare utilisation in older community-dwelling adults: comparison of two prospective cohort studies v1.2
<p>This comprises the data and materials for the study: Wallace E, Moriarty F, McGarrigle C, Smith SM, Kenny RA, Fahey T. (2018) Self-report versus electronic medical record recorded healthcare utilisation in older community-dwelling adults: Comparison of two prospective cohort studies. PLOS ONE 13(10): e0206201. <a href="https://doi.org/10.1371/journal.pone.0206201">https://doi.org/10.1371/journal.pone.0206201</a></p> <p>The anonymised TILDA dataset is publicly available to researchers who meet the criteria for access, at no monetary cost, from the Irish Social Science Data Archive (ISSDA) at University College Dublin (<a href="https://emea01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.ucd.ie%2Fissda%2Fdata%2Ftilda%2F&data=02%7C01%7C%7Ccc2345c4f5c543bbcddc08d5fd28200c%7C607041e7a8124670bd3030f9db210f06%7C0%7C0%7C636693271128219875&sdata=%2Fcochi1RuRtYSUa5sF9uA%2BjOOoNYIg7DPpk0mZl5D2s%3D&reserved=0">http://www.ucd.ie/issda/data/tilda/</a>) and the Interuniversity Consortium for Political and Social Research (ICPSR) at the University of Michigan (<a href="https://emea01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.icpsr.umich.edu%2Ficpsrweb%2FICPSR%2Fstudies%2F34315&data=02%7C01%7C%7Ccc2345c4f5c543bbcddc08d5fd28200c%7C607041e7a8124670bd3030f9db210f06%7C0%7C0%7C636693271128219875&sdata=7LHSSqU8xotACMsalpAjVrV5m95DlapgQViyr4P%2FsXY%3D&reserved=0">http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/34315</a>). For the CPCR cohort, no provision for data sharing was included in the original ethical approval and participant consent form. As a minimal data set necessary to replicate the present study could not be deidentified due to the large number of demographic variables considered, a synthetic version of the study dataset was produced using the synthpop package in R: <a href="https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcran.r-project.org%2Fweb%2Fpackages%2Fsynthpop%2Findex.html&data=02%7C01%7C%7Ccc2345c4f5c543bbcddc08d5fd28200c%7C607041e7a8124670bd3030f9db210f06%7C0%7C0%7C636693271128229884&sdata=j3If%2FNe%2F1eGsGAt9hyg3ICMqmLec4aOrjRVKppaRSFU%3D&reserved=0">https://cran.r-project.org/web/packages/synthpop/index.html</a>. This dataset and the analytical code for the present study are presented here. Code developed on the synthetic data can be sent to frankmoriarty@rcsi.ie or <a href="mailto:enquiries.cpcr@rcsi.ie">enquiries.cpcr@rcsi.ie</a> to be run on the original data.</p> <p>v1.2 includes a more detailed description of how the dataset was synthesised.</p>
Comparison of conventional IgE assay and measurement of specific IgE to hemocyanin for the diagnosis of adult crab allergy (Running tile: Utility of crab extracts and hemocyanin in diagnosing crab allergy)
<p><span>Summary: </span></p> <p><span><span> </span>Specific IgE to hemocyanin was elevated in crab-allergic as compared to crab-tolerant patients.</span></p> <p><span><span> </span>The combination of specific IgE to hemocyanin and conventional IgE assays improved specificity.</span></p>
Prevalence of Multimorbidity among Urban–Rural Older Adults in Mongolia: A Cross-Sectional Study
<p>A face-to-face, questionnaire-based cross-sectional study was conducted with 800 valid participants aged ≥60 years in Mongolia from June to September 2023.</p>
Comparison of conventional IgE assay and measurement of specific IgE to hemocyanin for the diagnosis of adult crab allergy (Running tile: Utility of crab extracts and hemocyanin in diagnosing crab allergy)
<p>Summary:</p> <p> Specific IgE to hemocyanin was elevated in crab-allergic as compared to crab-tolerant patients.</p> <p> The combination of specific IgE to hemocyanin and conventional IgE assays improved specificity.</p>
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.