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.
556
datasets available to search
ShareScore release 0.9.0
Dataset results
556 results for “Meta Data”
Data and results for Cochrane systematic review and network meta-analysis on treatment of spontaneous bacterial peritonitis
<p>This contains the data and the raw results for the Cochrane systematic review and network meta-analysis on the treatment of spontaneous bacterial peritonitis (https://doi.org/10.1002/14651858.CD013120). Please unzip the file and read the instructions before using the data.</p>
Data and results for Cochrane systematic review and network meta-analysis on 'Induction immunosuppression in adults undergoing liver transplantation: a network meta-analysis'
<p>This contains the data and the raw results for the Cochrane systematic review and network meta-analysis on Induction immunosuppression in adults undergoing liver transplantation: a network meta-analysis (<a href="https://doi.org/10.1002/14651858.CD013203">https://doi.org/10.1002/14651858.CD013203</a>). Please unzip the file and read the instructions before using the data.</p>
Survey Appendix - User awareness about Meta's Data for Good
<p>This survey aims to explore user awareness regarding Meta's 'Data for Good' program in the context of the upcoming EU Data Act. The study seeks to understand how many users are informed about the sharing of their data for public purposes. </p>
Litter decay experiment data & meta-data
Open the record for dataset details and reuse information.
Data from: Independent and interactive effects of plant genotype and environment on plant traits and insect herbivore performance: a meta-analysis with Salicaceae
1. Ecological research has increasingly highlighted the importance of intraspecific variation in shaping the structure and function of communities and ecosystems. Indeed, the effects of intraspecific variation can match or exceed those of interspecific variation. Previous reviews of intraspecific variation in plant traits across heterogeneous environments have focused primarily on mean phenotypic effects. We propose that a richer and fuller understanding of the ecological causes and consequences of intraspecific variation would be provided by partitioning trait variance into its subcomponents (genetic, environment, genotype by environment interaction). 2. We used a meta-analysis of 352 sets of genetic, environment, and genotype by environment (GxE) variation estimates from 72 studies of Salicaceae to compare these sources of variation across plant traits (growth, foliar nitrogen, defense compounds), insect herbivore performance metrics (e.g., survival, growth, fecundity), and environmental conditions (e.g., soil nutrients, water, defoliation). 3. Our findings revealed that variation in levels of defense compounds (both condensed tannins and salicinoids) and insect herbivore performance were primarily genetically determined, while variation in plant growth and foliar nitrogen were more environmentally determined. 4. Plasticity in plant growth, foliar nitrogen levels, and insect herbivore performance varied substantially across different sites (year x location), and nutrient, water, and carbon dioxide environments. Plasticity was lowest for chemical defense traits and all traits in contrasting ozone and defoliation environments. 5. Our quantitative review also revealed several gaps in the literature, including a need for surveying more mature plants (>2 years-old), a wider variety of insect herbivore species (e.g., leaf-modifiers, specialist insects), and underrepresented environmental treatments (e.g., competition, defoliation, disease, light, water). This work will help to assess how the patterns within this meta-analysis may or may not be confined within particular parameters (e.g., plant maturity). 6. Findings from this analysis further highlight the importance of and patterns within intraspecific variation in shaping the evolvability and plasticity of traits and in governing plant-insect interactions.
Data from: Genetic co-structure in a meta-community under threat of habitat fragmentation
Habitat fragmentation increasingly threatens the services provided by natural communities and ecosystem worldwide. An understanding of the eco-evolutionary processes underlying fragmentation-compromised communities in natural settings is lacking, yet critical to realistic and sustainable conservation. Through integrating the multivariate genetic, biotic and abiotic facets of a natural community module experiencing various degrees of habitat fragmentation, we provide unique insights into the processes underlying community functioning in real, natural conditions. The focal community module comprises a parasitic butterfly of conservation concern, and its two obligatory host species, a plant and an ant. We show that both historical dispersal and ongoing habitat fragmentation shape population genetic diversity of the butterfly Phengaris alcon and its most limited host species (the plant Gentiana pneumonanthe). Genetic structure of the individual species was strongly driven by geographical structure, altitude and landscape connectivity. Strikingly, however, was the strong degree of genetic co-structure among the three species that could not be explained by the spatial variables under study. This finding suggests that factors other than spatial configuration, including co-evolutionary dynamics and shared dispersal pathways, cause parallel genetic structure among interacting species. While the exact contribution of coevolution and shared dispersal routes on the genetic variation within and among communities deserves further attention, our findings demonstrate a considerable degree of genetic parallelism in natural meta-communities. The significant effect of landscape connectivity on the genetic diversity and structure of the butterfly also suggests that habitat fragmentation may threaten the functioning of the community module on the long run.
Data from: Systemic thyroid hormone status during levothyroxine therapy in hypothyroidism: a systematic review and meta-analysis
CONTEXT: The standard of care for overt hypothyroidism is levothyroxine at doses that normalize serum TSH levels. Whether this approach universally restores thyroid hormone signaling is unknown. OBJECTIVE: To review studies of overt hypothyroidism in which participants were treated with levothyroxine to normalize serum TSH levels and measured other objective markers of thyroid hormone signaling. DESIGN: Databases were searched for studies that reported objective markers of thyroid hormone signaling (serum low-density lipoprotein (LDL), total cholesterol (TC), sex hormone-binding globulin (SHBG), creatine kinase and/or ferritin levels; cognition, energy expenditure, and/or renal function) in levothyroxine monotherapy for overt, primary hypothyroidism among nonpregnant adults with normal serum TSH levels. For studies with LDL, TC and SHBG outcomes, data were pooled using random effects meta-analysis. RESULTS: A total of 99 studies met inclusion criteria, including 65 that reported serum cholesterol data. Meta-analysis showed that levothyroxine-treated hypothyroid participants with normal serum TSH levels had 3.31 ± 1.64 mg/dL higher serum LDL levels (p=0.044) and 9.60 ± 3.55 mg/dL higher serum TC levels (p=0.007) compared to controls. In studies that did not concomitantly assess healthy controls, serum LDL levels were 138.3 ± 4.6 mg/dL (p<0.001) and serum TC levels were 209.6 ± 3.4 mg/dL (p<0.001). Meta-analysis of 2 studies showed no significant difference between SHBG levels of levothyroxine-treated participants and controls. CONCLUSIONS: In studies that utilized levothyroxine monotherapy at doses that normalized the serum TSH for overt, primary hypothyroidism, not all systemic biological markers of thyroid hormone signaling were normalized, including serum LDL and TC levels.
Data and code underpinning: "The association of smoking status with SARS-CoV-2 infection, hospitalisation and mortality from COVID-19: A living rapid evidence review with Bayesian meta-analyses (version 12)"
<p>No description provided.</p>
Data for "Nitrogen availability mediates soil carbon cycling response to climate warming: a meta-analysis"
<p>This dataset was used to make tables and figures for the study entitled "Nitrogen availability mediates soil carbon cycling response to climate warming: a meta-analysis", which was submitted to Global Change Biology in October 2022. It contains a meta-analysis database focusing on the effects of warming on soil C storage, root biomass and soil respiration.</p>
Data for: When does early-life telomere length predict survival? A case study and meta-analysis
<p>Suboptimal conditions during development can shorten telomeres, the protective DNA caps on the end of chromosomes. Shorter early-life telomere length (TL) can indicate reduced somatic maintenance, leading to lower survival and shorter lifespan. However, despite some clear evidence, not all studies show a relationship between early-life TL and survival or lifespan, which may be due to differences in biology or study design (e.g., survival period measured). In superb fairy-wrens (<em>Malurus cyaneus</em>), we assessed whether early-life TL predicts mortality across different life-history stages (fledgling, juvenile, adult). However, in contrast to a similar study on a congener, early-life TL did not predict mortality across any life stage in this species. We then performed a meta-analysis including 32 effect sizes from 23 studies (15 birds and 3 mammals) to quantify the effect of early-life TL on mortality whilst taking into consideration potential sources of biological and methodological variation. Overall, the effect of early-life TL on mortality was significant, corresponding to a 15% reduction in mortality risk with each standard deviation increase in TL. However, the effect became weaker when correcting for publication bias. Contrary to our predictions, there was no evidence that effects of early-life TL on mortality varied with species lifespan or the period over which survival was measured. However, negative effects of early-life TL on mortality risk were pervasive throughout life. These results imply that effects of early-life TL on mortality are more likely context-dependent rather than age-dependent, although substantial power and publication bias issues highlight the need for more research.</p>
Data obtained by systematic review (codified data and meta-data) for: Influence of upwelling on coral reef benthic communities: a systematic review and meta-analysis
<p>Highly competitive coral reef benthic communities are acutely sensitive to changes in environmental parameters such as temperature and nutrient concentrations. Physical oceanographic processes that induce upwelling therefore act as drivers of community structure on tropical reefs. How upwelling impacts coral communities, however, is not fully understood; upwelling may provide a natural buffer against climate impacts and could potentially enhance the efficacy of spatial management and reef conservation efforts. This study employed a systematic review to assess existing literature linking upwelling with reef community structure, and a meta-analysis to quantify upwelling impact on the percentage cover of coral reef benthic groups. We show that upwelling has context-dependant effects on the cover of hard coral and fleshy macroalgae, with effect size and direction varying with depth, region and remoteness. Fleshy macroalgae was found to increase by 110% on inhabited reefs yet decrease by 56% around one well-studied remote island in response to upwelling. Hard coral cover was not significantly impacted by upwelling on inhabited reefs but increased by 150% when direct human pressures were absent. By synthesising existing evidence, this review facilitates adaptive and nuanced reef management which considers the influence of upwelling on reef assemblages.</p>
Data supporting publication: Two-Dimensional Chiral Metasurfaces Obtained by Geometrically Simple Meta-atom Rotations
<p>This repository includes the data corresponding to the figures shown in the journal article entitled "Two-Dimensional Chiral Metasurfaces Obtained by Geometrically Simple Meta-atom Rotations", published in Nano Letters.</p>
Data from: Joining up the scattered anticancer knowledge on auraptene and umbelliprenin: A meta-analysis
<p>Auraptene (AUR) and umbelliprenin (UMB) are naturally occurring prenylated coumarins that have demonstrated promising anticancer effects across various human cancer cell lines. This meta-analysis aimed to systematically assess, compare, and quantify the anticancer efficacy of AUR and UMB by synthesizing evidence from in vitro studies. A comprehensive literature search identified 27 eligible studies investigating AUR or UMB against cancer cells. Mixed-effects models revealed significant negative associations between coumarin dose and viability for AUR (est. = − 2.27) and UMB (est. = − 3.990), underscoring their dose-dependent cytotoxicity. Meta-regression indicated slightly higher potency for UMB over AUR, potentially due to increased lipophilicity imparted by additional isoprenyl units. Machine learning approaches identified coumarin dose and cancer type as the most influential determinants of toxicity, while treatment duration and the specific coumarin displayed weaker effects. Moderate (AUR) to substantial (UMB) between-study heterogeneity was detected, although the findings proved robust. In summary, this meta-analysis establishes AUR and UMB as promising natural anticancer candidates with clear dose-toxicity relationships across diverse malignancies. The structural insights and quantifications of anticancer efficacy can inform forthcoming efforts assessing therapeutic potential in pre-clinical models and human trials.</p>
Vitamin D and Mortality: an Individual Participant Data Meta-analysis of Standardized 25-hydroxyvitamin D
ClinicalTrials.gov study NCT02438488. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Individual Patient Data Meta-analysis on Prehospital Risk Assessment in Patients Suspected of Non-ST-segment Elevation Acute Coronary Syndrome
ClinicalTrials.gov study NCT06051110. IPD Sharing: UNDECIDED. Countries: 1. Publications: 5.
Diagnostic Yield of Cardiac CT to Detect Cardiac Thrombi in Acute Ischemic Stroke: an Individual Patient Data Meta-Analysis
ClinicalTrials.gov study NCT07165093. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Data from: A phylogenetically controlled meta-analysis of biologging device effects on birds: deleterious effects and a call for more standardized reporting of study data
Open the record for dataset details and reuse information.
Data from: Belowground community responses to fire: meta-analysis reveals contrasting responses of soil microorganisms and mesofauna
Open the record for dataset details and reuse information.
Data from: Islands in the ice: detecting past vegetation on Greenlandic nunataks using historical records and sedimentary ancient DNA meta-barcoding
Open the record for dataset details and reuse information.
Data from: Meta-analysis of yield response of foliar fungicide-treated hybrid corn in the United States and Ontario, Canada
Open the record for dataset details and reuse information.
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.