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.
1,656
datasets available to search
ShareScore release 0.7.1
Dataset results
1,656 results for “Lifestyle”
Healthy lifestyle practice, treatment, and control status of diagnosed hypertension and diabetes among the government nurses and para-health professionals of Bangladesh: A cross-sectional study
<p>This is the data of nurses and para-health professionals in Bangladesh.</p>
Supplemental materials for: Current pubertal development in Chinese children and the impact of overnutrition, lifestyle and perinatal factors
<p><strong>Context: </strong>Pubertal onset has been decreasing in many countries but there has been no data on pubertal development in Chinese children over the last decade.</p> <p><strong>Objective: </strong>The primary objective of the study was to evaluate the current status of sexual maturation in Chinese children and adolescents. Secondary objectives were to examine socio-economic, lifestyle and auxological associations with pubertal onset.</p> <p><strong>Design: </strong>A national, cross-sectional health survey.</p> <p><strong>Setting: </strong>The community-based setting.</p> <p><strong>Participants: </strong>A multistage, stratified cluster random sampling method was used to select a nationally representative sample, consisting of 231,575 children and adolescents(123,232 boys and 108,343 girls) between 2017 and 2019.</p> <p><strong>Main Outcome Measure: </strong>Growth parameters and pubertal staging were assessed by physical examination.</p> <p><strong>Results: </strong>Compared to 10 years previously the median age of Tanner 2 breast development and menarche were similar at 9.65 years and 12.39 years respectively. However, male puberty occurred earlier with a median age of testicular volume ≥4 ml of 10.65 years. Pubertal onset did occur earlier at the extremes with 3.3% of the girls with breast development between 6.5-6.99 years old increasing to 5.8% by 7.5-7.99 years old. Early pubertal onset was also noted in boys, with a testicular volume ≥ 4 ml noted in 1.5% between 7.5-7.99 years increasing to 3.5% between 8.5-8.99 years old. Obesity and overweight increased the risk of developing earlier puberty compared to the normal weight in both boys and girls.</p> <p><strong>Conclusions: </strong>Over the past decade, pubertal development is occurring earlier in Chinese children. While the cause is multifactorial, overweight and obesity are associated with earlier puberty onset. The currently-used normative pubertal data of precocious puberty may not be applicable to diagnose precocious puberty.</p>
FIGURE 2. Phylogram generated from maximum likelihood analysis resulting from the combined ITS, tef1 and tub2 in Interesting Botryosphaeria (Botryosphaeriaceae) associated with Magnolia species in Thailand: Additions of two new host records with their lifestyles
FIGURE 2. Phylogram generated from maximum likelihood analysis resulting from the combined ITS, tef1 and tub2 sequence dataset. Related sequences of Botryosphaeria were obtained from Zhang et al. (2021). Cophinforma eucalypti (MFLUCC 11-0425) was selected as the outgroup taxon. Bootstrap values for maximum likelihood equal to or greater than 60% and bayesian posterior probabilities equal to or greater than 0.95 are placed above the branches. The newly generated sequences are indicated in red. Type and ex-type strains are in black bold. Species names and strain accession numbers are followed by the lifestyle (orange), the isolation source or host species (green) and country of origin (blue). The accepted species names (according to Zhang et al. 2021) are indicated to the left of each clade. The scale bar represents the expected number of changes per site. The tree was rooted to Cophinforma eucalypti (MFLUCC 11-0425). END: Endophytic; PAT: Pathogenic; SAP: Saprobic; UNK: Unknown.
FIGURE 3 in Interesting Botryosphaeria (Botryosphaeriaceae) associated with Magnolia species in Thailand: Additions of two new host records with their lifestyles
FIGURE 3. Botryosphaeria puerensis (HKAS 107129, new host record). a–c. Appearance of ascomata on substrate. d, e. Sections through ascomata. f. Peridium. g. Paraphyses. h–j. Asci. k–n. Ascospores. Scale bars: a, b = 500 μm, c = 200 μm, d, e = 50 μm, f, h–j = 20 μm, g = 10 μm, k–n = 5 μm.
Genova - Encouraging a healthy lifestyle
<p>Results of the survey among the residents in Genova.</p>
Tampere - Encouraging a healthy lifestyle
<p>Results of the survey among the residents of Vuores neighbourhood in Tampere.</p>
Under the Cretaceous bark: Fossil evidence for the ancient origin of subcortical lifestyle of clown beetles (Coleoptera: Histeridae) - figures
<p>Additional photos of Platycretus muscularis, </p>
Gym lifestyle factors and male reproductive health: a study into young adult usage and perceptions - Survey data
<p>Survey data for the manuscript Gym lifestyle factors and male reproductive health: a study into young adult usage and perceptions</p>
Lifestyle and sense of coherence: A comparative analysis among university students in different areas of knowledge
<p>Background: The concept of health has undergone profound changes. Lifestyle Medicine (LSM) consists of therapeutic approaches that focus on the prevention and treatment of diseases. It follows that the quality of life of university students directly affects their health and educational progress.</p> <p>Experimental Methodology: Socioeconomic, lifestyle (LS), and sense of coherence (SOC) questionnaires were administered to college students from three different areas. The results were analyzed for normality and homogeneity, followed by ANOVA variance analysis and Dunn and Tukey post hoc test for multiple comparisons. Spearman's correlation coefficient evaluated the correlation between lifestyle and sense of coherence; p values < 0.05 were considered statistically significant. </p> <p>Results: The correlation between LS and SOC was higher among males and higher among Medical and Human sciences students compared to Exact sciences. Medical students' scores were higher than Applied sciences and Human sciences students on the LS questionnaire. Exact science students' scores on the SOC questionnaire were higher than Human sciences students. In the LS areas related to alcohol intake, sleeping quality, and behavior, there were no differences between the areas. However, women scored better in the nutrition domain and alcohol intake. The SOC was also higher in men compared to women. </p> <p>Conclusion: The results obtained demonstrate in an unprecedented way in the literature that the correlation between the LS and SOC of college students varies according to gender and areas of knowledge, reflecting the importance of actions on improving students' quality of life and enabling better academic performance.</p>
Healthy Lifestyle Database_STOP
<p>Database of children, included in Healthy Lifestyle intervention in Slovenia (2011-2018), used in STOP H2020 project to study the effects of the intervention on nutritional status of children.</p> <p> </p> <p><strong>List of variables</strong></p> <p> </p> <p>ID – identification number</p> <p>SCHOOL – school code</p> <p>SEX – 1 boys, 2 girls</p> <p>INITIAL_YR – year of inclusion in Healthy Lifestyle</p> <p>IN_OUT – 0 not included in intervention, 1 included in intervention</p> <p>MEASURED_YR – year of measurement</p> <p>HT – body height</p> <p>WT – body weight</p> <p>TSF – triceps skinfold</p> <p>BMI – body mass index</p> <p>PHT – body height percentile</p> <p>PWT – body weight percentile</p> <p>PTSF – triceps skinfold percentile</p> <p>PBMI – body mass index percentile</p> <p>GRADE – school grade</p> <p>AGE_MNT – age in month</p> <p>AGE_YRS – age in yrs</p> <p>OBESITY – 0 normal weight, 1 preobesity, 2 obesity</p> <p>OBESOGEN – initial % of obese children in school</p> <p>ROUND – round of measurement, 1 year before intervention, 2 year 1 of intervention, 3 year 2 of intervention, 4 year 3 of intervention, 5 year 4 of intervention, 6 year 5 of intervention</p> <p>CONS_0yr – 1 included in the year 1 of intervention</p> <p>CONS_1yr – 1 included in the year 1 of intervention</p> <p>CONS_2yr – 1 included in the year 2 of intervention</p> <p>CONS_3yr – 1 included in the year 3 of intervention</p> <p>CONS_4yr – 1 included in the year 4 of intervention</p> <p>CONS_5yr – 1 included in the year 5 of intervention</p> <p>reduction2016 – affected by disturbed financing in 2016</p> <p>TSF_ini – initial triceps skinfold</p> <p>ob0 – 0 normal weight, 1 preobesity, 2 obesity in year before the intervention</p> <p>ob1 – 0 normal weight, 1 preobesity, 2 obesity in year 1 of intervention</p> <p>ob2 – 0 normal weight, 1 preobesity, 2 obesity in year 2 of intervention</p> <p>ob3 – 0 normal weight, 1 preobesity, 2 obesity in year 3 of intervention</p> <p>ob4 - 0 normal weight, 1 preobesity, 2 obesity in year 4 of intervention</p> <p>ob5 - 0 normal weight, 1 preobesity, 2 obesity in year 5 of intervention</p>
Supplementary analysis 1 for Vitamin D status during adolescence and the impact of lifestyle changes – two years follow-up from the Fit Futures Study
<p>Supplementary analysis 1: multiple regression model including BMI instead of physical activity.</p>
Diet, Body Composition, Lifestyle and Cardiovascular Health of Healthy and Active Adults From Slovenia
ClinicalTrials.gov study NCT04379622. IPD Sharing: UNDECIDED. Countries: 1. Publications: 5.
Assessment of the Health and Lifestyle Tool
ClinicalTrials.gov study NCT04624321. IPD Sharing: YES. Countries: 1. Publications: 2.
The Women's Healthy Lifestyle Study
ClinicalTrials.gov study NCT00583726. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Lifestyle Intervention With Physical Activity and Diet
ClinicalTrials.gov study NCT06379802. IPD Sharing: NO. Countries: 1. Publications: 19.
Gene-diet Interactions on Body Weight Regulation and Lifestyle Parameters.
ClinicalTrials.gov study NCT04699448. IPD Sharing: NO. Countries: 1. Publications: 2.
End-Stage Renal Disease Intra-dialysis Lifestyle Education Study
ClinicalTrials.gov study NCT02361268. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Diet, Eating, and Lifestyle Improvement for Valued Employees and Their Relatives
ClinicalTrials.gov study NCT03277040. IPD Sharing: NO. Countries: 1. Publications: 1.
Lifestyle and Fertility Study on Antioxidant Status, Diet and Early Pregnancy
ClinicalTrials.gov study NCT00642590. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Dietary and Lifestyle Interventions in Obese Pregnant Women
ClinicalTrials.gov study NCT02095028. IPD Sharing: Not stated. Countries: 1. Publications: 20.
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.