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.
1,200
datasets available to search
ShareScore release 0.9.0
Dataset results
1,200 results for “Meta analysis”
Dataset for "Overall Survival after Treatment for Metastatic Uveal Melanoma: A Systematic Review and Meta-Analysis"
<p>Raw data corresponding to the paper entitled: "<strong>Overall Survival after Treatment for Metastatic Uveal Melanoma: A Systematic Review and Meta-Analysis" </strong>published in <em>Melanoma Research</em> (2019) by Rantala <em>et al. </em></p>
A Meta-Analysis on the Reliability of Comparative Judgement Data
<p>This is the data and R analysis script with the article "A Meta-Analysis on the Reliability of Comparative Judgement"</p>
Sex-dependent discrimination learning in lizards: a meta-analysis
<p>Raw data and R code used for analysis and to create plots</p>
Patients data for meta-analysis of genotype-phenotype associations in Bardet-Biedl Syndrome
<p>Data used for metaanalysis of the genotype-phenotype relationship in Bardet Biedl Syndrome.</p> <p>File "EV table 1 literature.xlsx" describes studies that were included in the metaanalysis. File "EV table 2 dataset.xlsx" contains individual patient data. Each row corresponds to a patient. If the same patient was reported in more than 1 study, their data were merged into one row. The columns are as follows:</p> <p>* source - a citation to the study the patient originated in</p> <p>* FamilyID - randomly generated ID of a family (unique over the dataset), two persons with the same FamilyID are related.</p> <p>* source case n. - A unique identifier of the patient within the study</p> <p>* gene - A gene carrying the principal BBSome related mutation</p> <p>* nucleotide change (allele 1,2) - description of the mutations in DNA individual alleles of the gene, in HGVS nomenclature</p> <p>* protein change (allele 1,2) - description of how the mutations in DNA change the resulting protein, in HGVS nomenclature</p> <p>* type of mut allele 1,2 - whether the given mutation is considered missense (MS) or large truncation (trunc)</p> <p>* mut/mut - combination of mutations for both alleles</p> <p>* additional mutations - mutations in other BBSome-related genes. Format is "gene: DNA mutation, protein mutation"</p> <p>* sex - "F" or "M" (where reported)</p> <p>* age group - age group (where reported)</p> <p>* age - age in years. Contains fractions, decimal values and "5 month"</p> <p>* RD, OBE, PD, CI, REP, REN, HEART, LIV, DD - presense or absence of phenotypes, if reported. RD – retinal dystrophy, OBE – obesity, PD – polydactyly, CI – cognitive impairment , REP – reproductive system anomalies, REN – renal anomalies, HRT – heart disease, LIV – liver anomalies, DD - Developmental delay. Values are "" (not reported), "0" (no phenotype), "1" (phenotype present), "1!" conflicting reports of phenotype in multiple studies (some patients were involved in multiple studies)</p> <p>* ethnicity - ethnicity of the patient, if reported</p> <p>* ethinc group - grouping of the ethnicities into 8 larger groups (see paper for details)</p> <p>* note - miscellanous text, in particular contains notes on patients merged from multiple studies</p> <p>====</p> <p>The protocol for this meta-analysis was pre-registered with PROSPERO (CRD42018096099).</p> <p>PubMed and Google Scholar databases were searched in May 2018 for the following keywords: [bardet-biedl syndrome AND (genotype phenotype OR cohort)]. Other suitable records were identified by snowball searching, in particular, by retrieving relevant articles from the references of the studied full-texts. In addition, all the references included in the publicly available Euro-Wabb database (<a href="https://lovd.euro-wabb.org/home.php">https://lovd.euro-wabb.org/home.php</a>) were covered. Our search was limited to the literature published in English language and covered the period from the inception of each database to the 21st of May 2018.</p>
Data used in meta-analysis of debris-covered glacier melt
<p>The data used in the study Accuracy of Empirical Models of Debris-Covered Glaciers, A Winter-Billington, RD Moore and R Dadic, in prep. for submission to the Journal of Glaciology.</p>
Figure 1 in Soil mineral nitrogen content is increased by soil mesofauna and nematodes - a meta-analysis
Figure 1. Overall effect of the presence of soil (micro- and/or meso) fauna ('All', purple), as well as differentiated by size classes (blue: microfauna, red: mesofauna, orange: micro- and mesofauna) on soil mineral nitrogen compounds. Shown are the mean effect sizes (logarithm of the response ratio), 95 % confidence intervals, and the number of observations (within parentheses). Asterisks indicate levels of significance (* P = 0.05, ** P = 0.01, *** P <0.001).
Fig. 3 in Investigating the pathogens associated with Dermacentor nuttalli and its global distribution: A study integrating metagenomic sequencing, meta-analysis and niche modeling
Fig. 3. Prevalence of pathogens associated with D. nuttalli. If there was only one study included in a certain pathogen, the positive rate would be calculated by the positive number of ticks divided by the total number of detected ticks, and without the 95% confidence interval. If there were more studies, the positive rate and 95% confidence interval would be calculated by meta-analysis.
Fig. 2 in Investigating the pathogens associated with Dermacentor nuttalli and its global distribution: A study integrating metagenomic sequencing, meta-analysis and niche modeling
Fig. 2. Study design and data sources of the meta-analysis. A comprehensive meta-analysis was performed to evaluate D. nuttalli's potential threats based on detected pathogens and geographical distribution positions. The database of D. nuttalli was constructed from four sources, including field surveys, literature review, a reference book, and an online biodiversity database (Global Biodiversity Information Facility, GBIF, https://www.gbif.org).
Fig. 1 in Investigating the pathogens associated with Dermacentor nuttalli and its global distribution: A study integrating metagenomic sequencing, meta-analysis and niche modeling
Fig. 1. Relative pathogen abundance of four D. nuttalli samples and the phylogenomic analysis of four Rickettsia genomes. (A) Pathogen abundance at the family level. (B) Pathogen abundance at the genus level. (C) The phylogenetic tree of four Rickettsia assemblies. The phylogenetic tree of four Rickettsia assemblies (Rickettsia conorii subsp. raoultii str XinjiangF1, Rickettsia conorii subsp. raoultii str XinjiangF2, Rickettsia conorii subsp. raoultii str XinjiangF3, and Rickettsia conorii subsp. raoultii str XinjiangM1) was built with 28 other publicly available established or proposed Rickettsiales species. The tree was inferred by IQ-TREE based on 277 single-copy orthologs identified by OrthoFinder. Anaplasma phagocytophilum and Ehrlichia ruminantium were two outgroup species.
Fig. 5 in Investigating the pathogens associated with Dermacentor nuttalli and its global distribution: A study integrating metagenomic sequencing, meta-analysis and niche modeling
Fig. 5. Global potential distribution of D. nuttalli. The red area indicates greater possibilities of suitability for D. nuttalli, while the blue area is less likely to be suitable for D. nuttalli.
Fig. 4 in Investigating the pathogens associated with Dermacentor nuttalli and its global distribution: A study integrating metagenomic sequencing, meta-analysis and niche modeling
Fig. 4. Geographical distribution of D. nuttalli. D. nuttalli lived mainly between 23◦–53◦ latitude and 76◦–133◦ longitude in the Northern Hemisphere. Triangles represent the locations in prefecture-level regions, while circles represent the distribution locations in county-level regions. The green circles represent points from GBIF, the yellow circles are points from literature, the purple circles represent the points from the field survey and the blue points are points from a reference book. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Dataset for meta-analysis "The motherhood penalty's size and factors"
<p><strong>PLEASE, CITE AS Kalabikhina IE, Kuznetsova PO, Zhuravleva SA (2024) Size and factors of the motherhood penalty in the labour market: A meta-analysis. Population and Economics 8(2): 178-205. <a href="https://doi.org/10.3897/popecon.8.e121438" target="_blank" rel="noopener">https://doi.org/10.3897/popecon.8.e121438</a></strong></p> <p> </p> <p><strong>Explanatory note 1: List of papers used in the meta-analysis - see the file "Meta_regression_analysis_papers".</strong></p> <p><strong>The data is presented in WORD format.</strong></p> <p> </p> <p><strong>Explanatory note 2: Set of data used in the meta-analysis - see the file "Meta_regression_analysis_table".</strong></p> <p><strong>The data is presented in EXCEL format. </strong></p> <p><strong>Description of table headers:</strong></p> <p>estimate_number - Number of the estimate</p> <p>paper_number - Number of the paper</p> <p>paper_name - Paper (year and first author)</p> <p>paper_excluded - Paper was excluded from the final sample</p> <p>survey - Data source</p> <p>table_in_paper - Number of the table with the regression results in the paper</p> <p>coeff - Regression coefficient for parenthood variable (estimate)</p> <p>se - SE of the estimate</p> <p>t - t-value of the estimate</p> <p>ols - Estimate is obtained using the OLS method</p> <p>fixed_effects ­- Estimate is obtained using the fixed effects method</p> <p>panel - Model considers panel data (for several years)</p> <p>quintile - Estimate is obtained using the quintile regression method</p> <p>other - Estimate is obtained using other methods</p> <p>selection_into_motherhood - Estimate is obtained allowing for selection into motherhood</p> <p>hackman - Estimate is obtained allowing for selection into employment (Heckman procedure)</p> <p>annual_earnings - Annual earnings are considered in the model</p> <p>monthly_wage - Monthly wage is considered in the model</p> <p>daily_wage - Daily wage is considered in the model</p> <p>hourly_wage - Hourly wage is considered in the model</p> <p>min_age_kid - Child's age (minimum)</p> <p>max_age_kid - Child's age (maximum)</p> <p>motherhood - Model uses a dummy variable of the presence of children</p> <p>num_kids - Model uses a variable of the number of children</p> <p>kid1 - Model uses a variable of the presence of one child</p> <p>kid2p - Model uses a variable of the presence of two or more children</p> <p>kid2 - Model uses a variable of the presence of two children</p> <p>kid3p - Model uses a variable of the presence of three or more children</p> <p>kid3 - Model uses a variable of the presence of three children</p> <p>kid4p - Model uses a variable of the presence of three or more children</p> <p>race/nationality - Model includes a race/ethnicity variable</p> <p>age - Model includes the age variable</p> <p>marstat - Model includes the marital status variable</p> <p>oth_char_hh - Model includes any other variables of other household characteristics</p> <p>settl_type - Model includes a variable of the type of settlement (urban, rural)</p> <p>region - Model includes a variable of the region of the country</p> <p>education - Model includes information on the level of education</p> <p>experience - Model includes a variable of work experience</p> <p>pot_experience - Model includes a variable of potential work experience, to be calculated from the data on age and number of years of education</p> <p>tenure - Model includes a variable of the duration of employment at the current job</p> <p>interruptions - Model includes a variable of employment interruptions (related to motherhood)</p> <p>occupation - Model includes an occupation variable</p> <p>industry - Model includes a variable of the industry of employment</p> <p>union - Model includes a variable of trade union membership</p> <p>friendly_conditions - Model includes a variable of the favourable working conditions for mothers (flexible schedule, possibility to work from home, etc.).</p> <p>hours - Model includes a variable of the number of hours worked</p> <p>sector - Model includes a variable of the type of employer ownership (public or private)</p> <p>informal - Model includes a variable of informal employment</p> <p>size_ent - Model includes a variable of the employer size</p> <p>min_age_woman - Woman's age (minimum)</p> <p>max_age_woman - Woman's age (maximum)</p> <p>mean_age_woman - Woman's age (mean)</p> <p>restricted - Sample is limited</p> <p>private - Model considers only private sector employees</p> <p>state - Model considers only public sector employees</p> <p>full_time - Model considers only full-time workers</p> <p>part_time - Model considers only part-time workers</p> <p>better_educated - Model considers only women with a high level of education</p> <p>lower_educated - Model considers only women with a low level of education</p> <p>married - Model includes only married women</p> <p>single - Model includes only single women</p> <p>natives - Model includes only native women (born in the country)</p> <p>immigrants - Model includes only immigrant women (born abroad)</p> <p>race - Model includes only women of a particular race</p> <p>min_year - Time period (minimum year)</p> <p>max_year - Time period (maximum year)</p> <p>journal - Type of publication</p> <p>usa - Sample includes women from the USA</p> <p>western_europe - Sample includes women from Western Europe (Belgium, France, Germany, Luxembourg, the Netherlands, Switzerland)</p> <p>north_europe - Sample includes women from Northern Europe (Denmark, Finland, Norway, Sweden)</p> <p>south_europe - Sample includes women from Southern Europe (Greece, Italy, Portugal, Spain)</p> <p>east_centre_europe - Sample includes women from Central or Eastern Europe (Czechia, Hungary, Poland, Russia, Serbia, Ukraine)</p> <p>china - Sample includes women from China</p> <p>Russia - Sample includes women from Russia</p> <p>others - Sample includes women from other countries</p> <p>country - Country name</p>
The efficacy of hemoglobin spray in wound management: a systematic review and network meta-analysis of comparative studies
<p>PRISMA flow</p>
Data set for AYUSH interventions for COVID-19- A Living Systematic Review and Meta-analysis
<p>The COVID-19 pandemic has put a huge strain on governments and medical professionals all across the world.<br> To identify acceptable treatments, many clinical studies from the Indian system of Traditional Medicines [Ayurveda, Yoga and Naturopathy, Unani, Siddha, and Homoeopathy (AYUSH)] have been conducted. Objective of the study is determine the efficiency of the Traditional System of Indian Medicine (AYUSH system) in lowering the incidence, duration, and severity of COVID-19 through a living systematic review and meta-analysis. We will search the following databases e.g; Pubmed; the Cochrane central register of controlled trials (CENTRAL); the Clinical Trials Registry - India (CTRI); Digital Helpline for Ayurveda Research Articles (DHARA): AYUSH research portal; WHO COVID-19 database etc. Clinical improvement, WHO ordinal scale, viral clearance, incidences of COVID-19 infection, and mortality will be considered as primary outcomes. Secondary outcomes will be use of O2 therapy or mechanical ventilator, admission to high dependency unit or emergency unit, duration of hospitalization, the time to symptom resolution, and adverse events. The review will be updated bi-monthly with two updates. It will provide practitioners, guideline developers, and authorities with up-to-date syntheses on interventions on a regular basis to help them make health-care decisions about AYUSH therapies for COVID-19 management. Study is supported by World Health Organization, South East Asia Regional Office, New Delhi, India. Here, we shared the result of our search strategy of our project and data extraction tool developed.</p>
Prisma P Checklist of protocol - AYUSH interventions for COVID-19 - A Living Systematic Review and Meta-analysis
<p>The COVID-19 pandemic has put a huge strain on governments and medical professionals all across the world.<br> To identify acceptable treatments, many clinical studies from the Indian system of Traditional Medicines [Ayurveda, Yoga and Naturopathy, Unani, Siddha, and Homoeopathy (AYUSH)] have been conducted. Objective of the study is determine the efficiency of the Traditional System of Indian Medicine (AYUSH system) in lowering the incidence, duration, and severity of COVID-19 through a living systematic review and meta-analysis. The review will be updated bi-monthly with two updates. It will provide practitioners, guideline developers, and authorities with up-to-date syntheses on interventions on a regular basis to help them make health-care decisions about AYUSH therapies for COVID-19 management. Study is supported by World Health Organization, South East Asia Regional Office, New Delhi, India. Here, we shared the PRISMA-P checklist of our project developed.</p>
Sexual (in)equality? A meta-analysis of sex differences in thermal acclimation capacity across ectotherms
<p>1. Climate change is putting the fate of ectothermic animals at stake because their body temperature closely tracks environmental temperatures. The ability to adjust thermal limits and preference through acclimation (i.e., acclimation capacity) may compensate for temperature changes. However, although necessary for forecasting the future of ectotherms in a changing climate, knowledge on the factors modulating these plastic responses is fragmentary. For instance, the influence of an animal's sex in driving acclimation capacity has been underappreciated.<br> 2. Here, we present the first systematic review and meta-analysis on sex differences in thermal acclimation capacity. Using 239 effect sizes from 37 studies and 44 species, we revealed that males and females did not differ significantly in their overall capacity to acclimate their thermal limits and preference. However, in some instances, females expressed significantly greater plastic responses than males.<br> 3. In wild animals, females had a greater heat tolerance plasticity than males. In addition, females had a greater cold tolerance plasticity in terrestrial habitats, but the strength and direction of this sexual dimorphism was associated with the duration of acclimation. We also found a negative correlation between body mass and plasticity. Finally, we demonstrated that the capacity for each sex to adjust their thermal tolerance and preference was remarkably limited.<br> 4. It is important to acknowledge that the above effects were weak and heterogeneous. Hence, in the species we investigated, minor differences in acclimation capacity may not translate into major ecological mismatch between sexes with climate change.<br> 5. Our systematic review also revealed that over 75% of the studies we identified either did not report or confounded the sex of the animals. This under-reporting may cause to overlook ecologically relevant sex differences in plasticity in ectothermic taxa. We stress the need for further research on sex-based responses to temperatures.<br> 6. Our synthesis provides additional evidence that the capacity for ectotherms to acclimate to temperatures is limited, and likely insufficient to compensate for the impacts of climate change.</p>
Subjective sleep quality and sleep architecture in patients with migraine: a meta-analysis
<p>Objectives: Sleep disturbance is often associated with migraine. However, there is a paucity of research investigating objective and subjective measures of sleep in migraine patients. This meta-analysis aims to determine whether there are differences in subjective sleep quality measured using the Pittsburgh Sleep Quality Index (PSQI), and objective sleep physiology measured using polysomnography between adult and pediatric patients, and healthy controls.</p> <p>Methods: This review was pre-registered on PROSPERO (CRD42020209325). A systematic search of five databases (Embase, MEDLINE®, Global Health, APA PsycINFO, APA PsycArticles, last searched: 12/17/2020) was conducted to find case-controlled studies which measured polysomnography and/or PSQI in patients with migraine. Pregnant participants and those with other headache disorders were excluded. Effect sizes (Hedges' <i>g</i>) were entered into a random effects model meta-analysis. Study quality was evaluated with the Newcastle Ottawa Scale, and publication bias with Egger's regression test.</p> <p>Results: 32 studies were eligible, of which 21 measured PSQI and/MIDAS in adults, 6 measured PSG in adults and 5 in children. The overall mean study quality score was 5/9, and this did not moderate any of the results, and there was no risk of publication bias. Overall, adults with migraine had higher PSQI scores than healthy controls (<i>g</i>=0.75, <i>p</i> < .001, 95% confidence interval [95%CI]: 0.54 - 0.96). This effect was larger in those with chronic rather than episodic condition (<i>g</i>=1.03, <i>p </i>< .001, 95%CI: 0.37 - 1.01, <i>g </i>= 0.63, <i>p </i>< .001, 95%CI: 0.38 - 0.88 respectively). For polysomnographic studies, adults and children with migraine displayed a lower percentage of REM sleep (<i>g</i>=-0.22, <i>p</i> = 0.017, 95%CI: -0.41 - -0.04, <i>g</i> = -0.71, <i>p</i> = 0.025, 95%CI: -1.34 - -0.10 respectively) than controls. Pediatric patients displayed less total sleep time (<i>g</i>=-1.37, <i>p </i>= 0.039, 95%CI: -2.66 - -0.10), more wake (<i>g</i>=0.52, <i>p </i>< .001, 95%CI: 0.08 – 0.79) and shorter sleep onset latency (<i>g</i>=-0.37, <i>p </i>< .001, 95%CI: -0.54 - -0.21) than controls.</p> <p>Discussion: People with migraine have significantly poorer subjective sleep quality and altered sleep physiology compared to healthy individuals. Further longitudinal empirical studies are required to enhance our understanding of this relationship.</p>
Understanding behavioural responses to human-induced rapid environmental change: A meta-analysis
<p>Behavioural responses are often the first reaction of an organism to human induced rapid environmental change (HIREC), yet current empirical evidence provides no consensus about the main environmental features that animals respond to behaviourally or which behaviours are responsive to HIREC. To understand how changes in behaviour can be predicted by different forms of HIREC, we conducted a meta-analysis of the existing empirical literature focusing on behavioural responses to five axes of environmental change (climate change, changes in CO<sub>2</sub>, direct human impact, changes in nutrients and biotic exchanges) in five behavioural domains (aggression, exploration, activity, boldness and sociability) across a range of taxa but with a focus on fish and bird species. Our meta-analysis revealed a general absence of directional behavioural responses to HIREC. However, the absolute magnitude of the effect sizes was large. This means that animals have strong behavioural responses to HIREC, but the responses are not clearly in any particular direction. Moreover, absolute magnitude of the effect sizes differed between different behaviours and different forms of HIREC: Exploration responded more strongly than activity, and climate change induced the strongest behavioural responses. Model heterogeneities identified that effect sizes varied primarily because of study design, and the specific sample of individuals used in a study; phylogeny also explains significant variation in our bird model. Based on these results, we make four recommendations to further our understanding: 1) a more balanced representation of laboratory and field studies, 2) consideration of context dependency, 3) standardisation of the methods and definitions used to quantify and study behaviours, and 4) consideration of the role for individual differences in behaviour.</p>
Diversity and compositional changes in the gut microbiota of wild and captive vertebrates: a meta-analysis
<p>Bioinformatic code, data files, raw figures and data accessibility table associated to the manuscript "Diversity and compositional changes in the gut microbiota of wild and captive vertebrates: a meta-analysis".</p>
Data for: Resetting our expectations for parasites and their effects on species interactions: A meta-analysis
<p>Despite the ubiquitous nature of parasitism, how parasitism alters the outcome of host species interactions such as competition, mutualism, and predation remain unknown. Using a phylogenetically informed meta-analysis of 154 studies, we examined how the mean and variance in the outcomes of species interactions differed between parasitized and non-parasitized hosts. Overall, parasitism did not significantly affect the mean or variance of host species interaction outcomes, nor did the shared evolutionary histories of hosts and parasites have an effect. Instead, there was considerable variation in outcomes, ranging from strongly detrimental to strongly beneficial for infected hosts. Trophically-transmitted parasites increased the negative effects of predation, parasites increased and decreased the negative effects of interspecific competition for parasitized and non-parasitized heterospecifics, respectively, and parasites had particularly strong negative effects on host species interactions in freshwater and marine habitats, yet were beneficial in terrestrial environments. Our results illuminate the diverse ways in which parasites modify critical linkages in ecological networks, implying that whether the cumulative effects of parasitism are considered detrimental depends not only on the interactions between hosts and their parasites, but also on the many other interactions that hosts experience.</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.