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1,200 results for “Meta analysis”
Context-dependent effects of deer on aboveground carbon stocks in the regenerative tree layer in temperate and boreal forests: a meta-analysis
<p>Herbivores, including deer (Cervidae), influence ecosystem functions and carbon cycling by affecting vegetation structure and composition. Given the increase in deer populations in Europe and North America, there is growing interest in their impact on carbon dynamics in temperate and boreal forests. We investigated the effects of deer on carbon stored in the seedling and sapling layer through two mechanisms: (1) deer affecting the overall aboveground woody biomass in these strata and (2) deer changing the composition of tree species in these strata, because species differ in wood density and carbon content. We performed a meta-analysis of 17 datasets from 12 studies, assessing the effects of deer exclusion on aboveground carbon stocks within the seedling and sapling layer (≤3m) under two scenarios of carbon calculation, where we used either: (1) species-specific carbon content and wood density values (mean scenario) and (2) generic carbon content and wood density values (neutral scenario). Our results show that including species-specific wood density values in calculations had a minimal effect on the estimated impact of deer exclusion on carbon stocks compared to generic values, but that there was insufficient data on species-specific carbon content to determine its importance in calculating aboveground carbon stocks. Our results show that preventing deer herbivory did not have a consistent positive effect on aboveground carbon stocks in the regenerating forest layer, except in sites dominated by conifer saplings and boreal sites. Instead, the among-case variability in effects suggests a complex interaction between the impact of deer browsing and forest carbon. Understanding these interactions is vital to assess wildlife-carbon relations and to develop appropriate forest conservation approaches in response to growing deer populations.</p>
Genome-wide meta-analysis of short-tandem repeats for Parkinson's disease risk
<p>Idiopathic Parkinson's disease (PD) is the second most common neurodegenerative disease after Alzheimer's disease and is determined by a combination of genetic and environmental risk factors. The to date largest genome-wide association study (GWAS) on single nucleotide polymorphisms (SNPs) by Nalls at al., 2019, reported 90 SNPs that were independently associated with PD risk. However, common SNPs account only for 16-36% of the total genetic heritability of the disease suggesting that other genetic variants play a role in PD susceptibility. One example of previously understudied genetic variants are short-tandem repeats (STR, also known as microsatellites), i.e., repeating sequence motifs in the human genome of 1-6 nucleotides in length. Thus, in this study, we performed a GWAS on imputed STRs in a large PD case-control dataset (n=4,757), and meta-analyzed these data with those from a previous study of the International PD Genetics Consortium (Bustos et al., 2023) resulting in a total sample size of 43,844 PD cases and controls. Thus, in this study, we performed a GWAS on imputed STRs in a large PD case-control dataset (n=4,757) from the US (the PEG and a GHC-based study) and Denmark (PASIDA).</p>
Data for: The Clam Before the Storm: A Meta Analysis Showing the Effect of Combined Climate Change Stressors on Bivalves
<p>These data were used to conduct a meta-analysis (as descirbed in the pre-print; The Clam Before the Storm: A Meta Analysis Showing the Effect of Combined Climate Change Stressors on Bivalves). These data can be used to reproduce our analysis.</p>
Data for: The meta-analysis of the effects of spatial sampling bias correction on presence only species distribution models
<p>This dataset contains information extracted from 70 studies identified through a systematic review of the peer-reviewed literature (Web of Science and SCOPUS databases both searched on the 13/02/2023) to evaluate the effect of spatial sampling bias correction methods in presence-only species distribution models.</p>
A meta-analysis exploring associations between habitat degradation and Neotropical bat virus prevalence and seroprevalence
<p>Habitat degradation can increase zoonotic disease risks by altering infection dynamics in wildlife and increasing wildlife–human interactions. Bats are an important taxonomic group to consider these effects, because they harbour many relevant zoonotic viruses and have species- and context-dependent responses to degradation that could affect zoonotic virus dynamics. Yet our understanding of the associations between habitat degradation and bat virus prevalence and seroprevalence are limited to a small number of studies, which often differ in the bats or viruses sampled, the study region, and methodology. To develop a broad understanding of the associations between bat viruses and habitat degradation, we conducted an initial phylogenetic meta-analysis that combines published prevalence and seroprevalence ("(sero)prevalence") with remote-sensing habitat degradation data. Our dataset includes 588 unique records of (sero)prevalence across 16 studies, 64 bat species, and five virus families. We quantified the overall strength and direction of the relationship between habitat degradation and bat virus outcomes and tested how this relationship is moderated by the time between habitat degradation and bat sampling and by ecological traits of bat hosts while controlling for phylogenetic nonindependence among bat species. We found no effect of degradation on prevalence overall, although a weak effect may exist when forest loss occurs the year prior to bat sampling. In contrast, we detected a negative but weak association between degradation and seroprevalence overall that was strengthened when forest loss occurred the year prior to bat sampling. No bat traits that we investigated interacted with habitat degradation to impact virus outcomes, suggesting observed trends are independent of these traits. Biases in our initial dataset highlight opportunities for future work; prevalence was highly zero-inflated, and seroprevalence was dominated by <em>Desmodus rotundus</em> and rabies virus. These findings and subsequent analyses will improve our understanding of how global change affects host–pathogen dynamics.</p>
Data and code for: Does increasing temperature accentuate disease impacts on fisheries species? A meta-analysis
<p>Rapid warming could drastically alter host-parasite relationships, which is especially important for fisheries crucial to human nutrition and economic livelihoods; yet we lack a synthetic understanding of how warming influences parasite-induced mortality in these systems. We conducted a meta-analysis using 301 effect sizes from 60 empirical papers on harvested aquatic species and determined the relationship between parasite-induced host mortality and temperature and how this relationship was altered by host, parasite and study design traits. Overall, temperature increased parasite-induced host mortality; however, the magnitude and sometimes direction of this relationship varied. Hosts from the order Salmoniformes experienced a greater increase in parasite-induced mortality with temperature than average. Opportunistic parasites were correlated with a greater increase in host mortality with temperature than average, while bacterial parasite-induced mortality was lower than average as temperature increased. Thus, parasites will generally increase host mortality as the environment warms; however, this effect will vary among systems.</p>
Trophic regulation of soil microbial biomass under nitrogen enrichment: A global meta-analysis
<p>Eutrophication, including nitrogen (N) enrichment, can affect soil microbial communities through changes in trophic interactions. However, a knowledge gap still exists about how plant resources ('bottom-up effects') and microbial predators ('top-down effects') regulate the impacts of N enrichment on microbial biomass at the global scale.</p> <p>To address this knowledge gap, we conducted a global meta-analysis using 2885 paired observations from 217 publications to evaluate the regulatory effects of plant biomass and soil nematodes on soil microbial biomass under N enrichment across terrestrial ecosystems.</p> <p>We found that the effects of N enrichment on soil microbial biomass strongly varied across ecosystems. N enrichment decreased the soil microbial biomass of natural grasslands and forests due to soil acidification and the subsequent losses of predatory and microbivorous nematodes stimulating microbial growth. By contrast, N enrichment increased the microbial biomass of managed croplands mainly via increasing plant biomass production. The short-term of N enrichment (experimental duration ≤ 5 years) could reduce microbial biomass via decreasing nematode abundance across diverse ecosystems, whereas the long-term of N enrichment (experimental duration > 5 years) mainly promoted microbial biomass via increasing plant biomass.</p> <p>These findings highlight the critical roles of microbial predators and plant input in shaping microbial responses to N enrichment, which are highly dependent on ecosystem type and the period of N enrichment. Earth system models that predict soil microbial biomass and their linkages to soil functioning should consider the variations in plant biomass and soil nematodes under future scenarios of N deposition.</p>
A global meta-analysis of yield-scaled N2O emissions and its mitigation efforts for maize, wheat, and rice
<p>Maintaining or even increasing crop yields while reducing nitrous oxide (N<sub>2</sub>O) emissions is necessary to reconcile food security and climate change, while the metric of yield-scaled N<sub>2</sub>O emission (i.e., N<sub>2</sub>O emissions per unit of crop yield) is at present poorly understood. Here we conducted a global meta-analysis with more than 6000 observations to explore the variation patterns and controlling factors of yield-scaled N<sub>2</sub>O emissions for maize, wheat, and rice and associated potential mitigation options. Our results showed that the average yield-scaled N<sub>2</sub>O emissions across all available data followed the order wheat (322 g N Mg<sup>-1</sup>, with the 95% confidence interval (CI): 301-346) > maize (211 g N Mg<sup>-1</sup>, CI: 198-225) > rice (153 g N Mg<sup>-1</sup>, CI: 144-163). Yield-scaled N<sub>2</sub>O emissions for individual crops were generally higher in tropical or subtropical zones than in temperate zones, and also showed a trend towards lower intensities from low to high latitudes. This global variation was better explained by climatic and edaphic factors than by N fertilizer management, while their combined effect predicted more than 70% of the variance. Furthermore, our analysis showed a significant decrease in yield-scaled N<sub>2</sub>O emissions with increasing N use efficiency or in N<sub>2</sub>O emissions for production systems with cereal yields > 10 Mg ha<sup>-1</sup> (maize), 6.6 Mg ha<sup>-1</sup> (wheat) or 6.8 Mg ha<sup>-1</sup> (rice), respectively. This highlights that N use efficiency indicators can be used as valuable proxies for reconciling trade-offs between crop production and N<sub>2</sub>O mitigation. For all three major staple crops, reducing N fertilization by up to 30%, optimizing the timing and placement of fertilizer application or using enhanced-efficiency N fertilizers significantly reduced yield-scaled N<sub>2</sub>O emissions at similar or even higher cereal yields. Our data-driven assessment provides some key guidance for developing effective and targeted mitigation and adaptation strategies for the sustainable intensification of cereal production.</p>
Meta-analysis of the effects of abiotic factors on plant microbes
<p>The abiotic environment exerts strong effects on plant-associated microbes, shaping their interactions with plants and resulting ecosystem processes. However, these abiotic effects on plant-microbe interactions are often highly specific and contingent on the abiotic driver or microbial group, requiring synthesis work describing general patterns and from this generate hypotheses and guide mechanistic work. To address this, we conducted a meta-analysis of the effects of climate change-related abiotic factors, namely warming, drought, and eCO<sub>2</sub>, on plant-associated microbes distinguishing by microbial taxonomic or biological group (bacteria, fungi or virus) and the plant part where microbes are found or associated with (phyllosphere or rhizosphere). We found abiotic driver-specific patterns, whereby drought significantly reduced microbial abundance, whereas warming and eCO<sub>2</sub> had no significant effects. In addition, these abiotic effects were contingent on the microbial taxonomic group, with fungi being negatively affected by drought but positively affected by warming (eCO<sub>2</sub> enrichment had no effect), whereas bacteria and viruses were not significantly affected by any factor. Likewise, rhizopheric microbes were negatively affected by drought but positively affected by warming (eCO<sub>2</sub> enrichment had no effect), whereas phyllospheric microbes were not significantly affected by any factor. Collectively, these findings point to important implications for global change research by highlighting contrasting effects of climate change-related abiotic drivers on plant-associated microbes and the contingency of such effects on microbe life histories and the nature of their interactions with plants.</p>
Prevalence of Listeria monocytogenes and other Listeria species in fish, fish products and fish processing environment: A systematic review and meta-analysis
<p>Dane wykorzytsane w publikajci "Prevalence of <em>Listeria monocytogenes</em> and other <em>Listeria</em> species in fish, fish products and fish processing environment: A systematic review and meta-analysis" . Dane obejmują wyniki surowe z baz artykułów, dane wykorzystane do wykonania metaanalizy oraz wyniki surowe uzyskane po przeprowadzaniu metaanalizy</p>
The Neural Mechanism Underlying The Effect of Musical Training on Phonological Awareness of preschoolers : A Meta-Analysis
Open the record for dataset details and reuse information.
Database to: Effectiveness of soil management strategies for mitigation of N2O emissions in European arable land: A meta-analysis
<p>Database to a meta-analysis studing the effects of adding different organic matter inputs (crop residues, green manure, livestock manure, slurry, digestate, compost or biochar) to soils on N2O emissions. Database consists of over 50 field experiments conducted in 15 European countries. Diverse arable crops, mainly cereals, were cultivated in monoculture or in crop rotations on mineral soils. Cumulative N2O emissions per unit land area were monitored during periods of 30 to 1,070 days in treatments, which received organic matter inputs, alone or in combination with mineral N fertiliser; and in controls fertilised with mineral N. The original results appeared in 46 articles published between 1993 and 2022 in peer-reviewed scientific journals, as well as a project report, and a PhD thesis.</p>
Feeling the future: A meta-analysis of 90 experiments on the anomalous anticipation of random future events
<p>The research that created this data is described in:</p> <ul> <li>Bem D, Tressoldi P, Rabeyron T and Duggan M. Feeling the future: A meta-analysis of 90 experiments on the anomalous anticipation of random future events. F1000Research 2015, 4:1188 (<a href="https://f1000research.com/articles/4-1188">doi: 10.12688/f1000research.7177.1</a>)</li> </ul>
Predictive physiological anticipation preceding seemingly unpredictable stimuli: a meta-analysis
<p>The research that created this data is described in:</p> <ul> <li>Mossbridge, J., Tressoldi, P.E. and Utts, J. (2012). Predictive physiological anticipation preceding seemingly unpredictable stimuli: a meta-analysis. Frontiers in Psychology 3:390. doi: 10.3389/fpsyg.2012.00390.</li> </ul> <p>Two files are included:</p> <ul> <li>PPAA_MA.xlsx - The original file, Excel format</li> <li>PPAA_MA.csv - The file converted to CSV format by Adrian Ryan; comments converted to columns.</li> </ul>
Antibiotic Resistance in Hospital Wastewater in West Africa: A Systematic Review and Meta-Analysis
Open the record for dataset details and reuse information.
Phosphorus Limitation Directly and Indirectly Constrains Tree Photosynthesis and Productivity: Evidence from a Global Meta-Analysis
<p>These dataset contains the source data and the correposnding code for the paper explained above.</p>
The effect of wheelchair users on the egress time of pedestrian crowds: a systematic literature review and meta-analysis
<p>This dataset provides supplementary input data for a systematic literature review and meta-analysis, examining the effects of mobility-impaired individuals, specifically wheelchair users, on pedestrian egress times. It includes the following variables:</p> <ul> <li><strong>short_trial_name</strong>: A unique identifier for each trial.</li> <li><strong>independent variables</strong>: Factors such as the number of attendees, bottleneck width, and mobility profiles (e.g., individuals with or without wheelchair usage).</li> <li><strong>left_shifted_time</strong>: Standardized start time for egress, adjusted for comparability across trials.</li> <li><strong>lower_left_no_of_people</strong>: The number of individuals who passed through the bottleneck at the standardized start time.</li> <li><strong>right_shifted_time</strong>: Standardized end time for egress.</li> <li><strong>right_left_no_of_people</strong>: The number of individuals who passed through the bottleneck by the standardized end time.</li> </ul>
Assessing Restoration Strategies for the Recovery of Colombian Moist Forests: A Meta-Analysis
<p>Dataset from a systematic review conducted on October 3, 2023, in which we searched for indexed articles that studied successions in humid forests in Colombia following various management activities, such as soil remediation, planting of native or exotic species, nucleation, silvopastoral or agroforestry systems, or natural regeneration. The studies selected reported the mean and standard deviation of vegetation structure metrics (basal area, tree density, canopy cover, and height), species richness (plants, birds, and insects), soil nutrients, and leaf litter in successional stages and conserved native forests. We used this dataset to develop the under-review manuscript submitted in the Restoration Ecology Journal.</p>
Data for article "Personal approach for cancer treatment: a meta-analysis of Phase II Clinical trials"
<p>We conducted systematic review and meta-analysis to provide a comprehensive overview of outcomes in patients who underwent personalized genomics-based versus non-personalized treatment in oncology. The PubMed searches detected 803 studies based on phase II clinical trials’ results published from 2010 to 2021. We selected 50 studies, having 81 arms and 6536 patients for the analysis. We compared Response Rate (RR), medians and 1-year rates of Overall Survival (OS) and Progression-Free Survival (PFS) between genomics-based personalized and non-personalized arms. This repository contains final dataset (Dataset file) and t<span lang="EN-US">he information on 803 studies identified in the literature search (803 studies description file)</span>. </p> <p>The searches, study selection, data extraction and synthesis were performed in accordance to PRISMA (preferred reporting items for systematic review and meta-analysis) guidelines. The research protocol was registered in PROSPERO (International prospective register of systematic reviews, <a href="https://www.crd.york.ac.uk/PROSPERO" rel="nofollow">https://www.crd.york.ac.uk/PROSPERO</a>), record ID CRD42024504021. </p> <p>We performed proportional meta-analysis using the RStudio program, utilizing the R programming language and packages "meta", "metafor," and "tidyverse", the code is available at github: https://github.com/MikhailPot/PreciseOnco_meta-analysis </p>
Summary Statistics from "Genome-wide meta-analysis of phytosterols reveals five novel loci and a detrimental effect on coronary atherosclerosis"
<p>Summary statistics of meta GWAS of phytosterols.</p>
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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.