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”
<i>k</i>-mer-based diversity scales with population size proxies more than nucleotide diversity in a meta-analysis of 98 plant species
Open the record for dataset details and reuse information.
Pollination deficits and contributions of pollinators in apple production: a global meta-analysis
Open the record for dataset details and reuse information.
Quantifying the ecological impacts of alien aquatic macrophytes: A global meta‐analysis of effects on fish, macroinvertebrate and macrophyte assemblages
Open the record for dataset details and reuse information.
Data and code – Effects of climate on salmonid productivity: A global meta-analysis across freshwater ecosystems
Open the record for dataset details and reuse information.
Global burden of non-tuberculous mycobacteria in the cystic fibrosis population: A systematic review and meta-analysis
Open the record for dataset details and reuse information.
Data from: Provenance variation in functional traits of European forest trees: Meta-analysis reveals effects of taxa and age despite critical research gaps
Open the record for dataset details and reuse information.
Subjective sleep quality and sleep architecture in patients with migraine: a meta-analysis
Open the record for dataset details and reuse information.
Data for: Resetting our expectations for parasites and their effects on species interactions: A meta-analysis
Open the record for dataset details and reuse information.
Meta-analysis suggests variable, but pCO2-specific, effects of ocean acidification on crustacean biomaterials
Open the record for dataset details and reuse information.
Meta-analysis and critical review of trophic discrimination factors (Δ13C and Δ15N): importance of tissue, trophic level, and diet source
Open the record for dataset details and reuse information.
Elemental and biochemical nutrient limitation of zooplankton: A meta-analysis
Open the record for dataset details and reuse information.
Host-pathogen interactions under pressure: a review and meta-analysis of stress-mediated effects on disease dynamics
Open the record for dataset details and reuse information.
Data for a meta-analysis of the effect of kelp forests on fish communities around the world from observational and experimental studies spanning 1983-2020
Data for Pérez-Matus, A., Micheli, F., Konar, B., Shears, N., Low, N., Okamoto, D., Wernberg, T., Krumhansl, K., Ling, S., Kinsgford, M., Navarrete-Fernandez, T., Ruz, C., and Byrnes, J. 2024. Kelp forests as nursery and foundational habitat for reef fish. Ecology. For the definitive analysis, see the paper. Code is at https://github.com/jebyrnes/fish_kelp_meta. This data set concerns the effects of kelp on fish community composition. Data was mined as part of the National Center for Ecological Analysis and Synthesis (NCEAS) working group on "Global impacts of climate change on kelp forest ecosystems." It consists of digitized information from studies searched (see methods) examining fish community composition with and without kelp. To summarize the study, conservation of marine biodiversity requires an understanding of the habitats needed to support and replenish species of interest. It also requires knowledge about the abundance and diversity of multi-species assemblages. Variation in the distribution and composition of kelp forests, one of the most productive marine coastal habitats globally, can have major influences on reef fishes – a group of ecologically and socio-economically important species. In the face of widespread and escalating loss of kelp forests, quantification of these effects is urgently needed to assess and project cascading impacts on biodiversity. Here, we evaluate relationships between kelp forests and associated reef fish populations using a global meta-analysis of experimental kelp removals and comparative surveys of kelp and adjacent non-kelp habitats. These analyses show that kelp forests increase the abundance of reef fishes, though the significance of this effect varied depending on the structural complexity of kelp forests. In experimental studies, kelp forests have a significant positive effect on fish species richness, revealing that kelp act as true foundation species by supporting the diversity of associated multi-species assemblag
Data for a global meta-analysis of passive experimental warming effects on plant traits and community properties
This database contains the data used in a global meta-analysis of warming effects on plants. L0 data are available upon request; they include the raw data from 126 warming experiments. The L1 data are the result of merged L0 data and are cleaned for typos and are standardized names. L1 data contain plant trait and community property measurements in both warmed and ambient conditions. L2 data contain the effect sizes of warming for each study. These data came from 126 warming experiments across the globe.
Explaining global variation in the latitudinal diversity gradient: Meta-analysis confirms known patterns and uncovers new one
This dataset is also available on the Dryad Digital Repository (link: https://doi.org/10.5061/dryad.rg5rd). The code is also available on GitHub (link: https://github.com/nlkinlock/LDGmeta-analysis). This dataset was created to explore patterns in biodiversity across latitude. The pattern of increasing biological diversity from high latitudes to the equator [latitudinal diversity gradient (LDG)] has been recognized for greater than 200 years. Empirical studies have documented this pattern across many different organisms and locations. In order to quantify the evidence for the global LDG and the associated spatial, taxonomic and environmental factors, a systematic review, followed by a meta-analysis of the resulting dataset, were carried out. This dataset contains a large number of individual LDGs that have been published in the 14 years since Hillebrand's ground‐breaking meta‐analysis of the LDG.
Correlation of native and exotic species richness: a global meta-analysis finds no invasion paradox across scales
This data set is also available on the Dryad Digital repository (link : https://doi.org/10.5061/dryad.59kv753) This dataset was created for investigating the biotic resistance hypothesis, that is, the idea that species‐rich communities are more successful at resisting invasion by exotic species than are species‐poor communities. It has been argued that native–exotic richness relationships (NERR) are negative at small spatial scales and positive at large scales, but evidence for the role of spatial scale on NERR has been contradictory. However, no formal quantitative synthesis had previously examined whether NERR is scale‐dependent across multiple studies, and previous studies on NERR have not distinguished spatial grain and extent, which may drive very different ecological processes Therefore, a global systematic review was carried out to create this dataset, which includes 204 individual cases of observational (non‐experimental) NERRs from 101 publications. Further, the above-mentioned hypotheses were investigated using a hierarchical mixed‐effects meta‐analysis, which showed that NERR was indeed highly scale dependent across studies and increased with the log of grain size. Also, no clear patterns of NERR across different spatial extents were found, suggesting that extent plays a less important role in determining NERR than does grain, although there was a complex interaction between extent and grain size. Almost all studies on NERR were found to have been conducted in North America, western Europe, and a few other regions, with little information on tropical or Arctic regions. NERR was also found to increase northward in temperate regions and vary with longitude. These results were published in the paper titled Correlation of native and exotic species richness: a global meta‐analysis finds no invasion paradox across scales (Peng et al. 2018), which represents the first global quantitative analysis of scale‐based NERR.
Quantification of Food Waste Disposal in the United States: A Meta-Analysis
This data set is the result of a systematic review of studies on food waste disposed in the United States, an issue which major consequences for social, nutritional, economic, and environmental issues. It was created to determine how much food is discarded in the U.S., and to determine if specific factors drive increased disposal. By applying meta-analytic tools on it this dataset, it was found that the aggregate proportion of food waste in U.S. municipal solid waste from 1995 to 2013 was 0.147 (95% CI 0.137–0.157) of total disposed waste, which is lower than that estimated by U.S. Environmental Protection Agency for the same period (0.176). Further, that the proportion of food waste increased significantly with time, and there were no significant differences in food waste between rural and urban samples, or between commercial/institutional and residential samples. These results are published in the study titled Quantification of Food Waste Disposal in the United States: A Meta-Analysis (Thyberg et al., 2015).
Plant invasion has limited impact on soil microbial alpha-diversity : a meta-analysis
<p>Plant invasion has proved to be a significant driver of ecosystem change, and with increased probability of invasion due to globalization, agricultural practices and other anthropogenic causes, it is crucial to understand its impact across multiple trophic levels. With the strong linkages between above and belowground processes, the response of soil microorganisms to plant invasion is the next logical step in developing our conceptual understanding of this complex system. In our study, we utilized a meta-analytical approach to better understand the impacts of plant invasion on soil microbial diversity. We synthesized 70 independent studies with 23 unique invaders across multiple ecosystem types to search for generalizable trends in soil microbial a-diversity following invasion. When possible, soil nutrient metrics were also collected in an attempt to understand the contribution of nutrient status shifts on microbial a-diversity. Our results show plant invasion to have highly heterogenous and limited impacts on microbial a-diversity. When taken together, our study indicates soil microbial a-diversity to remain constant following invasion, contrary to the aboveground counter parts. As our results suggest a decoupling in patterns of below and aboveground diversity, future work is needed to examine the drivers of microbial diversity patterns following invasion.</p>
Strong association between the 12q24 locus and sweet taste preference in the Japanese population revealed by genome-wide meta-analysis: Summary stats
<p>Summary stats of the genome-wide meta-analysis with METAL software in the article "Strong association between the 12q24 locus and sweet taste preference in the Japanese population revealed by genome-wide meta-analysis."</p>
Data from: A meta-analysis of factors influencing the strength of mate choice copying in animals
Davies et al., (2020) All data and R code <p>Mate-choice copying is a form of social learning in which an individual's choice of mate is influenced by the apparent choices of other individuals of the same sex, and has been observed in more than 20 species across a broad taxonomic range. Though fitness benefits of copying have proven difficult to measure, theory suggests that copying should not be beneficial for all species or contexts. However, the factors influencing the evolution and expression of copying have proven difficult to resolve. We systematically searched the literature for studies of mate-choice copying in non-human animals, and then performed a phylogenetically-controlled meta-analysis to explore which factors influence the expression of copying across species. Across 58 published studies in 23 species, we find strong evidence that animals copy the mate choice of others. The strength of copying was significantly influenced by taxonomic group, however sample size limitations mean it is difficult to draw firm conclusions regarding copying in mammals and arthropods. The strength of copying was also influenced by experimental design: copying was stronger when choosers were tested before and after witnessing a conspecific's mate choice, compared to when choosers with social information were compared to choosers without. Importantly, we did not detect any difference in the strength of copying between males and females, or in relation to the rate of multiple mating. Our search also highlights that more empirical work is needed to investigate copying in a broader range of species, especially those with differing mating systems and levels of reproductive investment.</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.