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706 results for βadult humansβ
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>
Evaluation Tools for Human-AI Interactions Involving Older Adults with Mild Cognitive Impairments
<h1>Abstract</h1> <p>As artificial intelligence (AI) systems have already proven useful in human lives generally, there is an opportunity for specialized human-AI interaction (HAI) systems to support and provide care for older adults with mild cognitive impairment (MCI). However, the integration of this technology in this population must be thoughtfully designed to accommodate specific needs and limitations. This includes careful measurement of both humans and systems. We developed an evolving dataset categorizing relevant measurement tools into five groups: cognitive ability, demographics & personality, activity level, state of mind, and perceptions of the AI system. Each instance of the tool being used in the literature cataloged in the dataset is qualified in terms of how likely we would recommend using it in the domain of HAI for older adults with MCI based on contextual factors and internal reliability measures. This dataset will serve as a valuable resource for future research, aiding in the identification of promising areas and trends in AI systems for older adults with MCI as well as providing essential tools for future studies.</p> <h1>Methodology</h1> <p>This dataset was not derived through a typical literature review or survey process, but rather followed a more flexible research method. To collect resources for the dataset, we searched numerous databases to identify studies and review types of publications in journals and conferences between the dates of 2000 to 2022. For the papers that contained extensive reviews of literature or cited original tools, we would further look into the citations of those papers, taking us beyond our limited date range. The tools used were categorized into five groups to broadly distinguish their usage in a study, measuring:</p> <ol> <li>Cognitive ability</li> <li>Demographics, personality, and experiences</li> <li>Activity level</li> <li>State of mind</li> <li>Perceptions of the AI system</li> </ol> <p>Subsequently, we conducted an examination of their Cronbach’s πΌ scores to assess internal reliability. We created tiers based on how likely we would be to recommend using each tool in the domain of human-AI (HAI) with older adults with MCI, as follows:</p> <ul> <li>Tier 1 included tools with Cronbach’s πΌ ≥ 0.7 when used with older adults with MCI in experimental settings interacting with AI</li> <li>Tier 2 included tools with Cronbach’s πΌ ≥ 0.7 when used with older adults, with or without MCI, in experimental settings with or without AI interaction</li> <li>Tier * included tools that satisfy the criteria for Tier 1, but, to the best of our knowledge, lack reported Cronbach’s πΌ scores</li> <li>Tier 3 included all remaining tools that do not meet the criteria for Tier 1, 2, or *</li> </ul> <p>It should be emphasized that a tool may be found in one or more tiers because multiple studies used the same tool yet resulted in varying reliability scores, contexts, etc.</p> <h1>Contribute</h1> <p>Readers are encouraged to reach out to Adam Norton (adam[underscore]norton[at]uml.edu) to recommend additional tools and entries to the dataset.</p> <h1>Publication</h1> <p>This dataset is published as a short contribution to the Human-Robot Interaction (HRI) 2024 conference. The corresponding paper citation is below:</p> <p>Daisy M. Kiyemba, Jasmin Marwad, Elizabeth J. Carter, and Adam Norton. <strong>Evaluation Tools for Human-AI Interactions Involving Older Adults with Mild Cognitive Impairments</strong>. In Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’24), March 11–14, 2024, Boulder, CO, USA. ACM, New York, NY, USA, 4 pages. <a href="https://doi.org/10.1145/3610977.3637474" target="_blank" rel="noopener">https://doi.org/10.1145/3610977.3637474</a></p> <h1>Acknowledgements</h1> <p>This work was supported by the National Science Foundation (IIS-2112633) as part of the AI-CARING Institute: <a href="https://ai-caring.org/" target="_blank" rel="noopener">https://ai-caring.org/</a></p>
Anticipatory looking responses to specific satiety in adult humans.
<p>Data for an anticipatory looking experiment investigating adult humans' spontaneous responses to others' satiety.</p> <p>Further information, including compatible R analysis code, available on OSF.</p>
Different Forms of Plasticity Interact in Adult Humans
<p>The data files are all in csv format, organized in columns for each variable and rows for each instance.<br> The column names denote the variables, explained below.</p> <p>---BINOCULAR RIVALRY DATA--- </p> <p>The experiment consisted of reporting the perceived orientation of a Gabor patch. Participants observed two <br> different Gabor patches (counter-clockwise -45° or clockwise 45°) projected separately on their two eyes <br> through a mirror stereoscope. They reported the perceived orientation by pressing the left (counter-clockwise), right (clockwise), or down (mixed) arrow keys.</p> <p>-FILES-<br> data_BR : main experimental cohort<br> data_BR_vc : visual control condition<br> data_BR_wm : working memory control condition</p> <p>-COLUMN NAMES-<br> grating : perceived grating orientation (1 counter-clockwise 45°, 2 clockwise 45°, 3 mixed)<br> trial : trial number (2 total in a block)<br> subtrial : sub-trial number (4 total in a block)<br> position : position of the counter-clockwise grating (1 left, 2 right)<br> perceiving_eye : the eye that is dominating perception at that instance (1 left, 2 right)<br> phase_duration : phase duration in seconds of the perception instance <br> ID : participant ID<br> block : block number (8 total in a session)<br> deprived_eye : code for the deprived eye (1 left, 2 right)<br> logPhaseDur : log10 transformed phase duration<br> session : session code (1 simple, 0 combined, 2 control)</p> <p>---MOTOR SEQUENCE LEARNING DATA---</p> <p>The experiment consisted of tapping four fingers (middle finger excluded) on a response pad, following a <br> sequence displayed on the monitor. The numbers on the sequence correspond to fingers (1 thumb, 2 index, <br> 3 ring, 4 little). Participants practiced two of the sequences for 14 blocks (test sequences) and two <br> others for only 1 block (control sequences) in the initial training. Each hand was trained separately. A <br> retest of two blocks for each of the sequences was done 45 minutes after the initial training per hand.</p> <p>-FILES-<br> data_MSL : main experimental cohort</p> <p>-COLUMN NAMES-<br> part : part number (4 in total: 2 test, 2 control)<br> block : block number (up to 14 for test sequences)<br> trial : trial number (5 in each block)<br> repetition : repetition number (i.e. completion of the sequence, 3 in each trial) <br> RT : reaction time in seconds<br> accuracy : whether the sequence was correct (i.e. no finger tap error) (1 correct, 0 incorrect)<br> ID : participant ID<br> sequence_num : sequence number (1: control, 2 test)<br> used_hand : is this the dominant hand (1 yes, 0 no)<br> first_hand : which is the first-trained hand (1 dominant, 0 non-dominant)<br> hand : which hand is currently used (1 left 2 right)<br> run : run number (1 initial training, 2 retest after 45 minutes)<br> logRT : log10 transformed reaction time<br> session : session code (1 simple, 0 combined)</p> <p>---WORKING MEMORY DATA---</p> <p>The experiment consisted of reporting whether a probe letter belonged to a previously seen set. The set of letters (3, 5, or 7 elements) was flashed (? sec) one by one (ISI ?) and after a 3 second pause a probe was flashed. Participants indicated if the probe belonged to the set by pressing arrow keys (left arrow no, right arrow yes). They received auditory feedback on their accuracy.</p> <p>-FILES-<br> data_WM : working memory control condition</p> <p>-COLUMN NAMES-<br> response : participant's response (1 yes, 0 no)<br> accuracy : accuracy (1 correct, 0 incorrect)<br> block : block number (3 in each run)<br> trial : trial number (30 total in each block)<br> length : set length (3,5 or 7)<br> set : the set of letters shown<br> RT : reaction time in seconds<br> probe : probe letter<br> ID : participant ID<br> run : run number (1-4)<br> logRT : log10 transformed reaction time</p>
A Study to Learn if Recombinant Human Parathyroid Hormone [rhPTH(1-84)] Can Improve Symptoms and Metabolic Control in Adults With Hypoparathyroidism (BALANCE)
ClinicalTrials.gov study NCT03324880. IPD Sharing: YES. Countries: 13. Publications: 1.
A Open-label Study Investigating the Safety and Tolerability of NPSP558, a Recombinant Human Parathyroid Hormone (rhPTH [1-84]), for the Treatment of Adults With Hypoparathyroidism - A Clinical Extens
ClinicalTrials.gov study NCT01297309. IPD Sharing: YES. Countries: 1. Publications: 5.
What Can MR Spectroscopy Measures of Occipital GABA tellabout Visual Plasticity in Human Adult?: Exp3 Dataset
<p>Dataset from Exp3 in "Proulx, Sébastien, Sheynin, Yasha, Hess, Robert, & Farivar, Reza. (2020). What Can MR Spectroscopy Measures of Occipital GABA tell about Visual Plasticity in Human Adult?. Zenodo. http://doi.org/10.5281/zenodo.4034898".</p> <p>Data was collected in 3-min measures: 3 pre-deprivation seperated by 3-min breaks and 3 deprivation measured at 30, 50 and 70 minutes into deprivation.</p> <p>The 'data' variable from the exp3Data.mat file stores percept durations that were logged then averaged within measures.</p> <p>The 'dataTot' variable from the exp3Data.mat file is the same data as in the 'data' variable, but processed differently as the fraction of a measure time (180min) a given percept is perceived.</p> <p>Metadata is included in the data and dataTot variable structure.</p>
Using psychophysical performance to predict short-term ocular dominance plasticity in human adults
<p>This is the dataset reported in the manuscript "Using psychophysical performance to predict short-term ocular dominance plasticity in human adults" published in the Journal of Vision 2020;20(7):6. doi: <a href="https://doi.org/10.1167/jov.20.7.6">https://doi.org/10.1167/jov.20.7.6</a></p> <p> </p>
Human health impact based on adult European consumers' dietary exposure to chemical contaminants and consumption of unprocessed red meat, processed meat, and legumes
<p>This dataset was generated within the PRISMA project (Marie SkΕodowska-Curie Grant Agreement No. 101110615) for assessing the health impact for adult consumers from 25 European countries due to dietary exposure to chemical contaminants and consumption of food based on different dietary patterns.</p><p>The risk coefficients used to generate data are presented in Table S1.</p><p>File S2 presents the health impact based on the chronic dietary exposure to chemical contaminants for each country.</p><p>File S3 presents figures regarding the health impact for each country for adult consumers due to dietary exposure to chemical contaminants and consumption of food based on different dietary patterns.</p><p>File S4 presents the health impact based on the consumption of unprocessed red meat, processed meat, and legumes for each country.</p><p> </p>
LungMAP Azimuth Reference - Human Adult Lung scRNA-Seq
<p>The LungMAP scRNA-Seq reference associated with the Lung CellCards resource. The initial reference integrated 259k cells from 72 donors from five published (PMIDs: 32726565, 32427931, 30554520, 32832599, 32832598) and one unpublished single cell RNA-seq cohort. Non-diseased adult and pediatric healthy lung single-cell 10x Genomics captures (3’ v2 and v3). Cells from different donors were integrated using Batchlor. Preliminary cell types were called based on Leiden clustering analysis and expression patterns of LungMAP cell card markers. UMAP embeddings were generated using monocle3. This reference, along with a corresponding single-nucleus specific version of this atlas, is under active construction. We expect to release the beta version of the reference in November 2021. Conforms to<strong> </strong>Azimuth reference data structure described at <a href="https://github.com/satijalab/azimuth/wiki/Azimuth-Reference-Format">https://github.com/satijalab/azimuth/wiki/Azimuth-Reference-Format</a>.</p>
MODYS-video: 2D Human pose estimation data and Dyskinesia Impairment Scale scores from children and young adults with dyskinetic cerebral palsy
<p>The dataset contains the 2D coordinates in pixels of body landmarks (wrists, ankles, shoulders, hips, knees and ankles) extracted from 188 videos of 34 children with dyskinetic cerebral palsy using DeepLabCut [1] and appertaining clinical scores of the Dyskinesia Impairment Scale (DIS) [2].</p> <p>The videos were collected during the item “lying in rest” and “sitting in rest” of the DIS at three time points during a clinical trial on the effect of intrathecal baclofen [3]. Children had a mean age of 14y2m (SD 4.0), 26 were male. Their gross motor function classification system level ranged from IV-V and their manual ability classification system level from III-V. Original videos have length of 4-35 seconds with a resolution of 720x575 pixels and are sampled with 25 Hz. We added stick figures to complement the data for context and ease of understanding. They were created from the 2D coordinates that were extracted with a likelihood >0.8.</p> <p>Clinical scoring was performed by three trained experts (according to the DIS) on the original videos. Within the items “lying in rest” and “sitting in rest” the amplitude and duration of dystonia and choreoathetosis of the trunk, proximal right arm, proximal left arm, proximal right leg and proximal left leg are scored on a 0-4 ordinal scale and calculated towards a percentage score between 0-1.</p> <p>The dataset can be used in a machine learning approach to automatically assess dystonia and choreoathetosis of children with dyskinetic cerebral palsy using 2D coordinates of body points extracted from videos.</p> <p> </p> <p>References:</p> <p>1. Mathis, A., et al., DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nat Neurosci, 2018. 21(9): p. 1281-1289.</p> <p>2. Monbaliu, E., et al., The dyskinesia Impairment Scale: a new instrument to measure dystonia and choreoathetosis in dyskinetic cerebral palsy. Dev Med Child Neurol, 2012. 54: p. 278-283.</p> <p>3. Bonouvrie, L.A., et al., The Effect of Intrathecal Baclofen in Dyskinetic Cerebral Palsy: The IDYS Trial. Ann Neurol, 2019. 86: p. 79-90.</p> <p> </p> <p> </p>
Merged Adult Human Kidney sc & snRNA-seq dataset
<p>A merged human kidney scRNA-seq dataset made from the following scRNA-seq studies:</p> <p>Lake, B.B. et al. A single-nucleus RNA-sequencing pipeline to decipher the molecular anatomy and pathophysiology of human kidneys. Nat Commun 10, 2832 (2019).</p> <p>Liao, J., Yu, Z., Chen, Y. et al. Single-cell RNA sequencing of human kidney. Sci Data 7, 4 (2020).</p> <p>Menon, R. et al. Single cell transcriptomics identifies focal segmental glomerulosclerosis remission endothelial biomarker. JCI Insight 5, e133267 (2020).</p> <p>Wu, H. et al. Single-cell transcriptomics of a human kidney allograft biopsy specimen defines a diverse inflammatory response. J Am Soc Nephrol 29: 2069–2080 (2018).</p> <p>Young, M. D. et al. Single-cell transcriptomes from human kidneys reveal the cellular identity of renal tumors. Science 361, 594–599 (2018).</p>
Phase I Study to Evaluate a Human Monoclonal Antibody (MAb) 10E8VLS Administered Alone or Concurrently With MAb VRC07-523LS Via Subcutaneous Injection in Healthy Adults
ClinicalTrials.gov study NCT03565315. IPD Sharing: NO. Countries: 1. Publications: 3.
Safety and Immunogenicity Study of a Candidate Tuberculosis Vaccine in Human Immunodeficiency Virus (HIV)-Positive Adults
ClinicalTrials.gov study NCT01262976. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Phase I Study of Quadrivalent Human Papilloma Virus (HPV) (Types 6, 11, 16, 18) Recombinant Vaccine in HIV-Infected and HIV-Negative Pre-Adolescents, Adolescents, and Young Adults
ClinicalTrials.gov study NCT00798265. IPD Sharing: YES. Countries: 1. Publications: 3.
Safety, Tolerability and Immunogenicity Study of 3 Prime-boost Regimens for Ebola Vaccines Ad26.ZEBOV/MVA-BN-Filo in Healthy Adults, Children and Human Immunodeficiency Virus Positive (HIV+) Adults
ClinicalTrials.gov study NCT02564523. IPD Sharing: Not stated. Countries: 4. Publications: 3.
Safety and Efficacy Study of Vaccine Schedule With Ad26.Mos.HIV and MVA-Mosaic in Human Immunodeficiency Virus (HIV)-Infected Adults
ClinicalTrials.gov study NCT02919306. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Efficacy and Safety of Sofosbuvir/Velpatasvir Fixed Dose Combination for 12 Weeks in Adults With Chronic Hepatitis C Virus (HCV) and Human Immunodeficiency Virus (HIV)-1 Coinfection
ClinicalTrials.gov study NCT02480712. IPD Sharing: YES. Countries: 1. Publications: 1.
A Prospective Study of Remestemcel-L, Ex-vivo Cultured Adult Human Mesenchymal Stromal Cells, for the Treatment of Pediatric Participants Who Have Failed to Respond to Steroid Treatment for Acute Graf
ClinicalTrials.gov study NCT02336230. IPD Sharing: NO. Countries: 1. Publications: 1.
A Study of the Safety and Pharmacokinetics of a Human Monoclonal Antibody, VRCHIVMAB0115-00-AB (VRC01.23LS), Administered Intravenously or Subcutaneously to Healthy Adults
ClinicalTrials.gov study NCT05627258. IPD Sharing: NO. Countries: 1. Publications: 3.
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.