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”
Underlying data for Prevalence Rates of Mucopolysaccharidosis in Iraq: a retrospective cross-sectional observational study
<p>Underlying data for Prevalence Rates of Mucopolysaccharidosis in Iraq: a retrospective cross-sectional observational study</p>
Supplementary data for the paper "Future of artificial intelligence applications in cancer care: a 2 global cross-sectional survey of researchers"
<p>Supplementary data for the paper "Future of artificial intelligence applications in cancer care: a 2 global cross-sectional survey of researchers"</p>
STROBE checklist for 'Prevalence Rates of Mucopolysaccharidosis in Iraq: a retrospective cross-sectional observational study.'
<p>STROBE checklist for 'Prevalence Rates of Mucopolysaccharidosis in Iraq: a retrospective cross-sectional observational study.'</p>
The Association of Conspiracy Beliefs and the Uptake of COVID-19 vaccination: a cross-sectional study
<p>The dataset used for confirmatory factor analysis, exploratory factor analysis of adapted to the Polish Vaccine Conspiracy Beliefs Scale, and dataset used for the regression modeling of vaccination against COVID-19 uptake</p>
Impact of regular plasmapheresis donation on serum protein and electrolyte metabolism: A multi‐center cross-sectional study in China
<p>The raw data of <em>Impact of regular plasmapheresis donation on serum protein and electrolyte metabolism: A multi‐center cross-sectional study in China</em></p>
Underlying data for Prevalence Rates of Mucopolysaccharidosis in Iraq: a retrospective cross-sectional observational study
<p>Underlying data for Prevalence Rates of Mucopolysaccharidosis in Iraq: a retrospective cross-sectional observational study</p>
Estimating Modal Mineralogy using Raman Spectroscopy: Multivariate Analysis Models and Raman Cross-Section Proxies - Chapter 4 Data
<p>I provide supplementary data for Chapter 4 of my dissertation including electron microprobe analysis data as well as the Raman spectra and associated metadata of the mineral end-members, the mineral-mineral mixtures, and the diamond-mineral mixtures.</p>
The impact of energy releasing B-vitamin intake on indices of obesity and cardiac function: a cross-sectional study
<p>Supplementary file 1</p>
The impact of energy releasing B-vitamin intake on indices of obesity and cardiac function: a cross-sectional study
<p>Consent form</p>
The impact of energy releasing B-vitamin intake on indices of obesity and cardiac function: a cross-sectional study
<p>Study Questionnaire </p>
Knowledge and perception regarding MIH among dental students and dental hygienist students in Spain: a cross-sectional study.
<p><strong>Background: </strong>Molar incisor hypomineralization (MIH) has a high prevalence in the Spanish pediatric population and is a precursor of carious lesions in teeth in which it is present. Although this pathology is included in the curricula of the Degree in Dentistry and the Training Cycle in Oral Hygiene in our country, the contents currently taught seem to be insufficient in relation to the level of knowledge that we have today about this noxa.<strong>Methods: </strong>A digital questionnaire of 18 questions was sent to a sample of 448 students attending the 4th and 5th year of the Degree in Dentistry and 2nd year of the Training Cycle in Oral Hygiene from different universities and vocational training centers in the Valencian Community. Descriptive and analytical statistical analysis of the data was subsequently performed.<strong>Results: </strong>Of the 290 questionnaires that were obtained, 53.8% were from students attending the 2nd year of a training course in oral hygiene and 46.2% were from students pursuing a degree in dentistry. Most of the respondents had heard about MIH (75.2%), mainly through lectures. However, most students had difficulties distinguishing MIH lesions from other lesions (57.2%), feeling not very confident (39.7%) and confident (38.3%) in the correct identification of these lesions. The degree of knowledge about MIH was greater among dental students in all the aspects evaluated: prevalence, diagnosis, prevention, and treatment. Of all the students, 83.8% were interested in increasing their training on MIH, especially in the areas of diagnosis and treatment.<strong>Conclusion: </strong>The results of the present study justify the need to expand the content on MIH, both theoretical and practical, in the educational curricula of the Degree in Dentistry and Integrated Vocational Training Centers in Spain.</p>
Data of: Cross-Sectional Survey on cognitive-affective-attitudinal responses of Germans on refugees
<p>The present dataset is the result of a cross-sectional online survey, which had been conducted to offer a clearer picture regarding Germans’ cognitive-affective-attitudinal responses when thinking about refugees. The survey content is based on an extended version of the Empathy-Attitude-Action model and was carried out with a sample of Germans. </p> <p>The dataset is in xlsx-format and the variable-descriptions can be found in the headings of the spreadsheet</p>
Assessment of general population knowledge, attitude, and practice on safe unused and expired drugs disposal: a cross-sectional study
<p>Assessment of general population knowledge, attitude, and practice on safe unused and expired drugs disposal: a cross-sectional study</p>
Clinical Features, Socio-Cultural Characteristics, Sleep Patterns, and Depression in Fibromyalgia Patients from India: A Cross-Sectional Study
<p><strong>Introduction</strong>: Fibromyalgia is a complex and chronic disease with significant regional variation and lack of studies from Indian population.</p> <p><strong>Objective</strong>: Aim to investigate the clinical features of fibromyalgia patients in India, including the prevalence and distribution of comorbidities, sleep patterns, and depression.</p> <p><strong>Method</strong>: Cross-sectional analysis of consecutive patients attending outpatient Rheumatology clinic from 2019-2020 satisfying ACR2016 criteria for fibromyalgia.</p> <p><strong>Results:</strong></p> <p>Of the 121 patients enrolled in the study, the majority (93.4%) were female, with a female-to-male ratio of 14:1. The mean age of the patients was 45 ±11 years. The socio-cultural profile of the patients revealed that the majority were married (88%) and homemakers (68.8%), lived in nuclear families (56%) and were middle to upper middle class (68.6%). Contrary to the existing literature, a higher prevalence of fibromyalgia has been observed in people with a higher educational status. Common clinical symptoms were extensive body aches (100%), fatigue (88%), difficulty concentrating (69.4%), irritability and gastrointestinal complaints (58.5%). We observed a high prevalence of primary headache (76%), mainly migraine (42%) and compulsive behaviour (OCB) (71%). Sleep disturbances and depression were found to be significant factors associated with fibromyalgia. The patients reported various sleep problems, such as snoring, waking up at night, daytime sleepiness, and taking daytime naps. Most of the patients had mild (50.8%) to moderate (29%) depression, while a smaller proportion experienced severe (6.6%) symptoms. Most of the patients had low vitamin D(91%).</p> <p><strong>Conclusion</strong>: The demographic profile of Indian patients was similar to that reported in the literature but had varied socio-cultural profiles needing further community-based studies. The high prevalence of psychological comorbidities and sleep disturbances highlights their importance in managing FM patients.</p>
Malaysian COVID-19 Anosmia Study (Phase 1) - A Nationwide Multicentre Cross-Sectional Study
ClinicalTrials.gov study NCT04390165. IPD Sharing: NO. Countries: 1. Publications: 8.
A Cross-sectional Study on COPD Prevalence
ClinicalTrials.gov study NCT03028207. IPD Sharing: NO. Countries: 1. Publications: 2.
A Randomized, Open, Parallel, Controlled, Multi-center, Interventional, Cross-sectional Study to Evaluate the Detection Rate of Psoriatic Arthritis in Korean Moderate-to-severe Psoriasis Patients, Wit
ClinicalTrials.gov study NCT05758402. IPD Sharing: YES. Countries: 1. Publications: 0.
Prospective Cross-sectional Evaluation of Penile Helicine Circulation in Veno-occlusive Erectile Dysfunction
ClinicalTrials.gov study NCT05311748. IPD Sharing: NO. Countries: 1. Publications: 1.
USDA Western Human Nutrition Research Center (WHNRC) Cross-Sectional Nutritional Phenotyping Study
ClinicalTrials.gov study NCT02367287. IPD Sharing: Not stated. Countries: 1. Publications: 27.
Shared Decision Making in Physical Therapy: a Cross-sectional Observational Study
ClinicalTrials.gov study NCT03266796. IPD Sharing: UNDECIDED. Countries: 1. Publications: 17.
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.