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1,708
datasets available to search
ShareScore release 0.7.1
Dataset results
1,708 results for “young adults”
Hippocampal transcriptome of young adult and middle-aged ES animals
GEO Series GSE29637. Rattus norvegicus. 16 samples. Type: Expression profiling by array.
Tissue-specific transcription footprinting using RNA PolII DamID (RAPID) in C. elegans [Young adult]
GEO Series GSE157416. Caenorhabditis elegans. 16 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
High-throughput Single-cell Profiling of B cell Responses Following Inactivated Influenza Vaccination in Young and Older Adults
GEO Series GSE175524. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing; Other.
Early gestational maternal low-protein diet diminishes hepatic response to fasting in young adult male mice
GEO Series GSE100313. Mus musculus. 22 samples. Type: Expression profiling by array.
Gene expression profile at single cell level of murine B cells from different compartments of naive young adult mice
GEO Series GSE234188. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing; Other.
131I exposured young and adult rat thyroid
GEO Series GSE146051. Rattus norvegicus. 49 samples. Type: Expression profiling by array.
Prenatal vitamin D deficiency alters immune cell proportions of offspring in young adult age [scRNA-seq]
GEO Series GSE242042. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Urinary Exosome as a Potential Biomarker of Exercise-Induced Fatigue in Young Adult Males
GEO Series GSE193186. Homo sapiens. 3 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Newborn and young adult (2 months) mouse dorsal skin cell culture time-series RNA-Seq
GEO Series GSE86955. Mus musculus. 22 samples. Type: Expression profiling by high throughput sequencing.
Prenatal vitamin D deficiency alters immune cell proportions of offspring in young adult age.
GEO Series GSE242043. Mus musculus. 20 samples. Type: Expression profiling by high throughput sequencing.
miRNA expression profile in pediatric and adolescent and young adult rhabdomyosarcomas
GEO Series GSE135518. Homo sapiens. 64 samples. Type: Non-coding RNA profiling by array.
High-throughput Single-cell Profiling of B cell Responses Following Inactivated Influenza Vaccination in Young and Older Adults (single-cell BCR)
GEO Series GSE175523. Homo sapiens. 12 samples. Type: Other.
Investigating the transcriptional regulatory role of FBXA-215 [young Adults]
GEO Series GSE251876. Caenorhabditis elegans. 15 samples. Type: Expression profiling by high throughput sequencing.
Expression profiling of infant and young adult lung endothelial cells by RNA-sequencing.
GEO Series GSE86600. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
A Parallel Study of mRNA and MicroRNA Profiling of Peripheral Blood in Young Adult Women (MicroRNA Profiling)
GEO Series GSE49837. Homo sapiens. 22 samples. Type: Non-coding RNA profiling by array.
A Parallel Study of mRNA and MicroRNA Profiling of Peripheral Blood in Young Adult Women (mRNA Profiling)
GEO Series GSE49839. Homo sapiens. 22 samples. Type: Expression profiling by array.
RNA-seq analysis of young adult daf-18(ok480) and control worms
GEO Series GSE222447. Caenorhabditis elegans. 12 samples. Type: Expression profiling by high throughput sequencing.
Dataset related to ADHD phase 1 of the project "Transition care between adolescent and adult services for young people with chronic health needs in Italy", funded by the Italian Ministry of Health (RF-2019-12371228).
<p>Dataset related to the article "Transitioning to adult mental health services for young people with ADHD: an Italian-based survey on practices for pediatric and adult services" (phase 1 of the project "Transition care between adolescent and adult services for young people with chronic health needs in Italy", funded by the Italian Ministry of Health - RF-2019-12371228).</p>
Human Connectome Project resting-state fMRI Connectivity Matrices (Young Adult + Aging)
<p>This database contains the connectivity matrices of the resting-state functional MRI scans that were collected in two databases of the Human Connectome Project, Young Adult and Aging. These matrices contain the functional connectivity between brain regions (here, several different brain atlases were used, leading to several different connectivity matrices for each subject). The connectivity matrices are symmetrical <em>n x n </em>matrices. Here, <em>n</em><em> </em>indicates the number of regions present in the atlas, and any number <em>n<sub>i,j </sub></em>in the matrix is generated by calculating a simple Pearson correlation coefficient between the functional time series that describe the functional activation of regions <em>i </em>and <em>j</em> throughout the resting-state functional scan. The matrices presented in this database are present as .pconn.nii files (which can be handled using software like wb_command) or as .txt file. </p> <p>A full explanation of the database and the brain atlases used here, as well as all the scripts used to generate these connectivity matrices can be found on the GitHub page of this project: <a href="https://github.com/floristijhuis/HCP-rfMRI-repository">floristijhuis/HCP-rfMRI-repository (github.com)</a>.</p>
Premature Aging as an Accumulation of Deficits in Young Adult Survivors of Pediatric Cancer
<p>The dataset contains 4683 participants with all variables used for the analyses of paper “Premature Aging as an Accumulation of Deficits in Young Adult Survivors of Pediatric Cancer”. Here is the format for this data set.</p> <p><strong>proc</strong> <strong>format</strong>;</p> <p> value BMI3gf <strong>.</strong>="Missing" <strong>1</strong>="BIM <18.5" <strong>0</strong>="BIM 18.5 to <30" <strong>2</strong>="BIM>=30";</p> <p> value gender2gf <strong>.</strong>="Missing" <strong>1</strong>="Female" <strong>2</strong>="Male";</p> <p> value race3gf <strong>.</strong>="Missing" <strong>1</strong>="Non-Hispanic White" <strong>2</strong>="Non-Hispanic Black" <strong>3</strong>="Other";</p> <p> value race2gf <strong>.</strong>="Missing" <strong>1</strong>="Non-Hispanic White" <strong>2</strong>="Other";</p> <p> value edu5gf <strong>.</strong>="Missing" <strong>1</strong>="<High School" <strong>2</strong>="High School or GED" <strong>3</strong>="Some Training/College" <strong>4</strong>="College Degree" <strong>5</strong>="5: >College Degree";</p> <p> value emp3gf <strong>.</strong>="Missing" <strong>1</strong>="Unemployed" <strong>2</strong>="Part-time" <strong>3</strong>="Full-time";</p> <p> value mstat4gf <strong>.</strong>="Missing" <strong>1</strong>="Single, Never Married" <strong>2</strong>="Widowed" <strong>3</strong>="Divorced/Separated" <strong>4</strong>="Married/Living as Married";</p> <p> value hin3gf <strong>.</strong>="Missing" <strong>1</strong>="=<$19,999" <strong>2</strong>="$20,000-$59,999" <strong>3</strong>=">=$60,000";</p> <p> value smkf <strong>.</strong>="Missing" <strong>1</strong>="Former smoke" <strong>2</strong>="Now smoke" <strong>3</strong>="Never smoke";</p> <p> value scrn2gf <strong>.</strong>="Missing" <strong>1</strong>=">2 hours" <strong>0</strong>="<=2 hours";</p> <p> value vphact2gf <strong>.</strong>="Missing" <strong>0</strong>="Physical inactivity (<150)" <strong>1</strong>="Physical activity (>=150)";</p> <p> value yes1no0f <strong>.</strong>="Missing" <strong>1</strong>="Yes" <strong>0</strong>="No";</p> <p> value dgrp11gf <strong>.</strong>="Missing" <strong>0</strong>="No diagnosis" <strong>1</strong>="Acute lymphoblastic leukemia" <strong>2</strong>="Acute Myeloid Leukemia" <strong>3</strong>="CNS tumor" <strong>4</strong>="Neuroblastoma"</p> <p> <strong>5</strong>="Hodgkin lymphoma" <strong>6</strong>="Non-Hodgkin lymphoma" <strong>7</strong>="Osteosarcoma" <strong>8</strong>="Ewing sarcoma" <strong>9</strong>="Soft tissue sarcoma" <strong>10</strong>="Retinoblastoma"</p> <p> <strong>11</strong>="Wilms tumor" <strong>12</strong>="Others";</p> <p> value cran2gf <strong>.</strong>="Missing" <strong>1</strong>="0 to 2 Gy" <strong>2</strong>="> 2 Gy";</p> <p> value deathf <strong>.</strong>="Missing" <strong>1</strong>="Death" <strong>0</strong>="Censor";</p> <p> value DAI3gf <strong>.</strong>="Missing" <strong>1</strong>="Robust (DAI 0 to <0.2)" <strong>2</strong>="Pre-frail (DAI 0.2 to <0.35)" <strong>3</strong>="frailty (DAI >=0.35)";</p> <p> value ydx5gf <strong>.</strong>="Missing" <strong>1</strong>="<=1980" <strong>2</strong>="1981 to <=1990" <strong>3</strong>="1991 to <=2000" <strong>4</strong>=">2000";</p> <p> <strong>run</strong>;</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.