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.
844
datasets available to search
ShareScore release 0.9.0
Dataset results
844 results for “cross-section”
Development and validation of a prediction model using sella magnetic resonance imaging-based radiomics and clinical parameters for diagnosis of growth hormone deficiency and idiopathic short stature: A multicenter, cross-sectional study
Open the record for dataset details and reuse information.
Prevalence, Motivations for Participation and Predictors of Sports Betting among College Nursing Students in Northern Region of Ghana: An Institution-Based Cross-Sectional Survey.
<p>Mudasir Mohammed Ibrahim is a conscientious Professional Registered General Nurse who is skilled in providing exceptional care to patients with healthcare needs to maintain their health, safety and development. In the realm of nursing, he has developed a special interest in the area of research and development. Though this journey began while he was in college, he has learned that the answer to a problem is always research. Fortunate enough, he has been working with other researchers in the publication of projects to international journals with success and gradually building research knowledge as well as skills. He is currently reading Bachelor of Science in Nursing at University of Cape Coast (UCC, Ghana). He currently resides in Tamale, Northern Region of Ghana.</p> <p> </p>
Environmental Exposures, Characteristics, and Treatment Outcomes of Hypersensitivity Pneumonitis at a Rural Appalachian Academic Medical Center: A Cross-sectional Study
<p>Data set for our research project titled above.</p>
Data from: Association of low-density lipoprotein cholesterol within the normal range and NAFLD in the non-obese Chinese population: a cross-sectional and longitudinal study
OBJECTIVES: The relationship between normal low-density lipoprotein cholesterol (LDL-c) levels and nonalcoholic fatty liver disease (NAFLD) in non-obese subjects remains unclear. We aimed to investigate the precise prevalence and incidence of NAFLD within the normal LDL-c range in non-obese subjects. Design: Cross-sectional and longitudinal study. Setting: Wenzhou Medical Center of Wenzhou People's Hospital from 2010 to 2014. Participants: 183903 non-obese individuals were enrolled from a cross-sectional population and a total of 16173 initially NAFLD-free non-obese subjects were included who completed a 5-year follow-up examination in the longitudinal population. RESULTS: In our study, NAFLD was defined by ultrasonographic detection of steatosis in the absence of other liver disease. The cross-sectional study showed that at baseline, the prevalence of NAFLD was 13.9% in non-obese subjects with normal LDL-c levels. The prospective study demonstrated that NAFLD-free subjects developed NAFLD during the 5-year follow-up period, with a cumulative incidence of 14.4%. In addition, the OR for NAFLD in the cross-sectional population were 1.11(95%CI 1.04-1.18), 1.37 (95%CI 1.27-1.47), and 1.56 (95%CI 1.43-1.69), respectively, after adjusting for known confounding variables. The HR for NAFLD in the longitudinal population were 1.15 (95%CI 0.98-1.36), 1.32 (95%CI 1.10-1.58) and 1.82 (95%CI 1.47-2.52), compared with Q1. Subjects with higher LDL-c level within the normal range had an increased cumulative incidence rate of NAFLD in non-obese subjects. CONCLUSIONS: NAFLD is prevalent in the non-obese Chinese population. Furthermore, this is the first study to demonstrate that increased normal LDL-c levels are independently associated with an elevated risk of NAFLD in non-obese subjects.
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.