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207
datasets available to search
ShareScore release 0.9.0
Dataset results
207 results for “Longitudinal data”
Data from: Longitudinal follow-up with VIM Thalamic Deep Brain Stimulation for Dystonic or Essential Tremor
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Data from: Ectopic fat obesity presents the greatest risk for incident type 2 diabetes: a population-based longitudinal study
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Data from: Vastus lateralis architecture changes during pregnancy - a longitudinal study
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Data from: Longitudinal associations between diurnal cortisol variation and later life cognitive impairment
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Virome Data Explorer: A web resource to longitudinally explore respiratory viral infections, their interactions with other pathogens and host transcriptomic changes in over 100 people
GEO Series GSE223679. Homo sapiens. 847 samples. Type: Expression profiling by high throughput sequencing.
Longitudinal single-cell multiomics data for different severity of COVID-19
GEO Series GSE196198. Homo sapiens. 100 samples. Type: Expression profiling by high throughput sequencing; Other.
Longitudinal transcriptomic and metabolomic data demonstrate altered lipid metabolism following the onset of hyperglycemia in spontaneously diabetic rats
GEO Series GSE84886. Rattus norvegicus. 6 samples. Type: Expression profiling by array.
Affymetrix SNP array data for longitudinal analysis of adult Myelodysplastic Syndromes (MDS) and Acute Myeloid Leukemia (AML) with 1q jumping translocation after 5'-azacytidine treatment
GEO Series GSE272012. Homo sapiens. 7 samples. Type: Genome variation profiling by genome tiling array; Genome variation profiling by SNP array.
Longitudinal Stratification of Gene Expression Data Reveals Three SLE Groups of Disease Activity Progression.
GEO Series GSE121239. Homo sapiens. 312 samples. Type: Expression profiling by array.
Longitudinal expression data from CD8+ T cells responding to LCMV-Armstrong or LCMV-Clone 13
GEO Series GSE41867. Mus musculus. 36 samples. Type: Expression profiling by array.
TiSA: TimeSeriesAnalysis – A pipeline for the analysis of longitudinal transcriptomics data
GEO Series GSE212955. Mus musculus. 20 samples. Type: Expression profiling by high throughput sequencing.
TiSA: TimeSeriesAnalysis – A pipeline for the analysis of longitudinal transcriptomics data
GEO Series GSE213255. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing.
Spatial transcriptomic data from longitudinal tumor samples from one patient undergoing neoadjuvant BO-112 and hypofractionated radiation therapy in soft tissue carcoma
GEO Series GSE313858. Homo sapiens. 4 samples. Type: Other.
The longitudinal interview data on immigrant adaptation in Finland
<p>The longitudinal interview data were collected among a privileged group of well-educated, English-speaking Iraqis who arrived in Finland as asylum-seekers in 2015–2016 in order to study different aspects of both their short and long-term adaptation in Finland. All the interviews were conducted as semi-structured, in-depth interviews in English. In all, the data consist of a total of 36 interviews, each one lasting approximately 40–120 minutes.</p> <p>The participants were interviewed at three different time points during their first 2.5 years in Finland. The baseline interviews were conducted approximately 1–4 months after their arrival in Finland when all the participants (<em>N </em>= 22; three women) were still waiting for their asylum decision in the reception centres or private accommodation in Helsinki or Turku. They were contacted through direct contact outside reception centres, at events organised by or for asylum-seekers, or through a snowball sampling technique utilizing the participants’ social networks. The baseline data describe their life in Iraq, journey to Finland, motivation for choosing Finland, life in the reception centres as well as future expectations and so far experiences regarding their economic, psychological, socio-psychological, and socio-cultural adaptation in Finland.</p> <p>The two rounds of follow-up interviews were conducted approximately 1.5 years and 2.5 years after arrival among those participants (<em>N </em>= 7; three women) who were subsequently legally permitted to remain in Finland on the basis of either refugee status or subsidiary protection. The follow-up data were collected under the Occupational Restructuring Challenges Competencies research project funded by the Strategic Research Council at the Academy of Finland (project number 303536). The follow-up data describe, among other things, how the participants’ employment status had developed over time in Finland, and how it related to their subjective well-being as well as to both their economic and overall adaptation in the new country.</p>
Longitudinal data analyses reveal a positive effect of bird diversity on human mental health
<p>A growing body of research has focused on the connection between biodiversity and human mental health, but many studies lack longitudinal data, creating problems due to endogeneity. This study stands out by utilizing a newly compiled panel dataset covering the time period between 2015-2019 to investigate the impact of bird diversity exposure on mental health and well-being. By analysing data from around 200,000 individuals from the German National Cohort Health Study and using a unique bird diversity indicator based on citizen-science data, this study found that a greater likelihood of encountering many different bird species in a person's area of residence had a significant positive effect on mental health and well-being. In addition, the study examined how different sensory abilities play a role in this relationship. These findings have national-level implications for biodiversity conservation and public health policy decisions, as it may be the first to offer evidence of the positive impact of bird diversity on human mental well-being while minimizing issues such as omitted variable bias.</p>
Ti PC Software for Analyzing Longitudinal Data
ClinicalTrials.gov study NCT00005452. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Integrating Longitudinal Clinical, Sociodemographic and Genomic Data into the NCCR
The goal of this study is to contribute clinical and genomic data from a large institutional cohort of pediatric cancer patients who had tumor genomic profiling between 2013 and 2019 at Dana-Farber/Boston Children's Hospital Cancer and Blood Disorders Center. Clinical data include demographics, diagnosis (classified according to the International Classification of Diseases for Oncology (ICD-O-3.2), stage, and biospecimen associated data. Tumors were sequenced with OncoPanel, a targeted next-generation DNA sequencing panel of up to 447 cancer genes for detection of single-nucleotide variants (SNV), insertions, and deletions, and copy number alterations (CNA), as well as selected intronic regions for up to 60 genes for the detection of structural variants (SV). This dataset includes a patient and sample identifier (GENIE ID) that can be used to link the genomic data included in this dataset to additional longitudinal clinical cancer data on a subset of patients that was submitted to the National Childhood Cancer Registry (NCCR).
Integrating Longitudinal Clinical, Sociodemographic and Genomic Data into the NCCR
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Data from: "What is the actual relationship between neutrophil extracellular traps and COVID-19 severity? A longitudinal study".
<p>Data supporting the manuscript titled: "<strong>What is the actual relationship between neutrophil extracellular traps and COVID-19 severity? A longitudinal study?</strong></p>
Longitudinal expression data from CD4+ T cells responding to LCMV-Armstrong or LCMV-Clone 13
GEO Series GSE41866. Mus musculus. 35 samples. Type: Expression profiling by array.
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.