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1,200 results for “Meta analysis”
Effects of temperature on mating behaviour and mating success: a meta-analysis
<p>In light of global climate change, there is a pressing need to understand how populations will respond to rising temperatures. Understanding the effects of temperature changes on mating behaviour is particularly important, given its implications for population viability. To this end, we performed a meta-analysis of 53 studies to examine how temperature changes influence mating latency, choosiness, and mating success. We hypothesized that if higher temperatures make mate searching and mate assessment more costly due to elevated metabolism, this may lead to a reduction in mating latency and choosiness, thereby increasing overall mating success. We found no evidence for an overall effect of temperature on mating latency, choosiness, or mating success. There was an increase in mating success when animals were exposed to higher temperatures during mating trials, but not when they were exposed before mating trials. In addition, in a subset of studies that measured both mating latency and mating success, there was a strong negative relationship between the effect sizes for these traits. This suggests that a decrease in mating latency at higher temperatures was associated with an increase in mating success and vice versa. In sum, our meta-analysis provides new insights into the effects of temperature on mating patterns. The absence of a consistent directional effect of temperature on mating behaviours and mating success suggests it may be difficult to predict changes in the strength of sexual selection in natural populations in a warming world. Nevertheless, there is some evidence that (i) higher temperatures during mating may lead to an increase in mating success and that (ii) an increase in mating success is associated with a decrease in mating latency.</p>
Multiple global changes drive grassland productivity and stability: A meta-analysis
<p><span>Temporal stability of primary productivity is the key to stable provisioning of ecosystem services to human beings. Yet, the effects of various global changes on grassland stability remain ambiguous. </span></p> <p><span>Here, we conducted a comprehensive meta-analysis based on 1,070 multi-year paired observations from 173 studies, to examine the impacts of various global changes on productivity, community stability and plant diversity of grasslands on a global scale. The global change drivers include nitrogen (N) addition, phosphorus (P) addition, N & P addition, precipitation increase, precipitation decrease, elevated CO2, and warming. </span></p> <p><span>Global change drivers generally had stronger impacts on grassland productivity than on temporal stability, except for precipitation changes. Community temporal stability was reduced by N addition, N & P addition, and precipitation decrease, but was increased by precipitation increase and remained unchanged under P addition, elevated CO2, and warming. In addition, species richness decreased under N addition, N & P addition, and precipitation decrease. At the plant functional group level, N & P addition reduced grasses' stability and precipitation increase enhanced forbs' stability.</span></p> <p><span>Nutrient additions decreased community stability via increasing the inter-annual variation more than the mean of primary productivity, while precipitation changes mainly affected community temporal stability via changing mean productivity. The negative impacts of global change drivers (i.e. N & P addition, warming) on community temporal stability increased with the degree of species loss, but decreased with increasing stability of grasses. Moreover, the negative impacts of nutrient addition and precipitation decrease on community stability was lessened while the positive effect of precipitation increase on community stability was enhanced in grasslands with higher historical precipitation variability, greater soil fertility, and longer experimental duration.</span></p> <p><span><strong>Synthesis</strong>.</span><span> Our findings demonstrate that N-based nutrient additions and drought destabilise grassland productivity, while precipitation increase enhances community stability. Impacts of global changes on community productivity and stability are mediated by species richness, plant functional group, site-specific environmental conditions (i.e. climate, soil), and experimental duration, which deserve more attention in grassland management practices under future global change scenarios.</span></p>
Host plant specificity of the monarch butterfly Danaus plexippus: A systematic review and meta-analysis
<p>The preference-performance hypothesis explains host specificity in phytophagous insects, positing that host plants chosen by adults confer the greatest larval fitness. However, adults sometimes oviposit on plants supporting low larval success because the components of host specificity (adult preference, plant palatability, and larval survival) are non-binary and not necessarily correlated. Palatability (willingness to eat) is governed by chemical cues and physical barriers such as trichomes, while survival (ability to complete development) depends upon nutrition and toxicity. Absence of a correlation between the components of host specificity results in low-performance hosts supporting limited larval development. Most studies of specificity focus on oviposition behavior leaving the importance and basis of palatability and survival under-explored. We conducted a comprehensive review of 127 plant species that have been claimed or tested to be hosts for the monarch butterfly Danaus plexippus to classify them as non-hosts, low performance, or high performance. We performed a meta-analysis to test if performance status could be explained by the properties of neurotoxic cardenolides or trichome density. We also conducted a no-choice larval feeding experiment to identify the causes of low performance. We identified 34 high performance, 42 low performance, 33 non-hosts, and 18 species with unsubstantiated claims. Mean cardenolide concentration was greater in high- than low-performance hosts and a significant predictor of host status, suggesting possible evolutionary trade-offs in monarch specialization. Other cardenolide properties and trichome density were not significant predictors of host status. In the experiment, we found, of the 62% of larvae that attempted to eat low-performance hosts, only 3.5% survived to adult compared to 85% of those on the high-performance host, demonstrating that multiple factors affect larval host plant specificity. Our study is the first to classify all known host plants for monarchs and has conservation implications for this threatened species.</p>
The effects of ants on pest control: a meta-analysis
<p>Dataset and R codes of "The effects of ants on pest control: a meta-analysis" by Anjos et al. (2023).</p> <p>We searched for papers in Web of Science<sup>©</sup> and Scopus<sup>©</sup> databases using all available years up to 31st March 2021. We used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) protocol for paper search (Moher et al., 2000). We used the following key terms in our search: “ant” AND “biological” AND “control”. To complement our dataset, we searched for more studies in recent reviews (Anjos et al., 2021; Diamé et al., 2018; Drummond and Choate, 2011; Offenberg, 2015; Rosumek et al., 2009; Thurman et al., 2019; Trager et al., 2010; van Mele et al., 2008). We selected studies according to two criteria. Studies must have: (i) investigated ant effects on abundance of pests or natural enemies, or effects of ants on plant damage (i.e., damaged leaves or fruit, lost fruit or lost leaf area) or crop yield (i.e., fruit production and fruit biomass); (ii) experimentally evaluated the influence of ants by contrasting ant presence with ant exclusion (e.g., ants have been excluded using physical or chemical barriers) on agrosystems.</p> <p>Our initial search identified 2,682 studies (1207 in Web of Science<sup>©</sup> and 1475 in Scopus<sup>©</sup>) that were potentially appropriate for our review. Of these, 678 were eliminated because they were duplicates and 1953 because they were not about the subject of interest or they were not about studies that compared the ant presence and exclusion protocols (Supporting Information, Fig. S1). Then, after applying our initial inclusion criteria (i, ii), 52 studies from our search remained in our dataset (Supporting Information, Table S1). Overall, these studies provided 857 cases (gathered through effect size estimates) for our analyses</p>
Meta-analysis of elevational changes in the intensity of trophic interactions: similarities and dissimilarities with latitudinal patterns
<p>The premise that the intensity of biotic interactions decreases with increasing latitudes and elevations is broadly accepted; however, whether these geographical patterns can be explained within a common theoretical framework remains unclear. Our goal was to identify the general pattern of elevational changes in trophic interactions and to explore the sources of variation among the outcomes of individual studies. Meta-analysis of 226 effect sizes calculated from 136 publications demonstrated a significant but interaction-specific decrease in the intensity of herbivory, carnivory and parasitism with increasing elevation. Nevertheless, this decrease was not significant at high latitudes and for interactions involving endothermic organisms, for herbivore outbreaks or for herbivores living within plant tissues. Herbivory similarly declined with increases in latitude and elevation, whereas carnivory showed a fivefold stronger decrease with elevation than with latitude and parasitism increased with latitude but decreased with elevation. Thus, although these gradients share a general pattern and several sources of variation in trophic interaction intensity, we discovered important dissimilarities, indicating that elevational and latitudinal changes in these interactions are partly driven by different factors. We conclude that the scope of the latitudinal biotic interaction hypothesis cannot be extended to incorporate elevational gradients.</p>
A bibliometric analysis of systematic reviews and meta-analyses in ophthalmology, from 2000 to 2020
<p><span>Objectives:</span><span> To establish the scientometric landscape of </span><span>systematic reviews and meta-analyses (SRMAs) published in the field of ophthalmology over time.</span></p> <p><span>Results</span><span>: A total of 2,660 SRMAs were included, and t</span><span>he average annual growth rate was 21.26%. </span><span>China and the USA were the most productive countries, while </span><span>Singapore was</span><span> the country with the highest </span><span>average citations per document. Wong TY was not only the most productive, but also the most frequently cited author. The most productive affiliation was National University of Singapore (n=236). SRMA output in most subspecialties had steadily increased with retina/vitreous (n=986), glaucoma (n=411) and cornea/external diseases (n=303) constantly as the most dominant fields. Rates of </span><span>pre-registration and guideline compliance had dramatically increased over time</span><span>, with 20.0% and 63.5% of SRMA being pre-registered and reported guideline in 2020, respectively. However, SRMAs published on ophthalmic journals tended to be less frequently pre-registered and guideline complied than those on non-ophthalmic journals (both P < 0.05).</span></p> <p><span>Conclusions</span><span>:</span><span> The annual output of SRMAs has been rapidly increasing over the past two decades. China and the USA were the most productive countries, whereas Singapore had the most prolific and influential scholar and institution. R</span><span>aising awareness and </span><span>implementation </span><span>of SRMA pre-registration and guideline compliance </span><span>is still necessary to ensure quality, especially for ophthalmic journals.</span></p>
Data for meta-analysis of the soil greenhouse gas emissions
<p><span>Exploring the </span><span>responses of greenhouse gases (GHGs) emissions to land use conversion or reversion is significant for taking effective land use measures to alleviate global warming.</span> <span>A global meta-analysis was conducted to analyze the responses of carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) emissions to land use conversion or reversion, and determine their temporal evolution, driving factors and potential mechanisms. Our results showed that CH4 and N2O responded positively to land use conversion while CO2 responded negatively to the changes from natural herb and secondary forest to plantation. By comparison, CH4 responded negatively to land use reversion and N2O also showed negative response to the reversion from agricultural land to forest. The conversion of land use weakened the function of natural forest and grassland as CH4 sink and the artificial nitrogen (N) addition for plantation increased N source for N2O release from soil, while the reversion of land use could alleviate them to some degree. Besides, soil carbon would impact CO2 emission for a long time after land use conversion, and secondary forest reached the methane uptake level similar to that of primary forest after over 40 years. N2O responses had negative relationships with time interval under the conversions from forest to plantation, secondary forest and pasture. In addition, meta-regression indicated that CH4 had correlations with several environmental variables, and carbon-nitrogen ratio had contrary relationships with N2O emission responses to land use conversion and reversion.</span> <span>And the importance of driving factors displayed that CO2, CH4 and </span><span>N2O</span><span> response to land use conversion and reversion were easily affected by NH4+ and soil moisture, </span><span>mean annual temperature</span><span> and NO3-, total nitrogen and </span><span>mean annual temperature</span><span>, respectively.</span> <span>This study would provide enlightenment for scientific land management and reducing of GHG emissions.</span></p>
Impacts of pastures and forestry plantations on herpetofauna: a global meta-analysis
<p class="MsoListParagraphCxSpFirst"><span>1.</span><span> </span><span>The establishment of pastures and forestry plantations has increased globally to meet growing demands for meat and wood products. <a name="_Hlk108096120"></a>Pasture and plantation expansion often drives deforestation, which causes homogenization of biotic communities and is a major driver of the global extinction crisis. A core question is how the severity of losses varies between pastures and plantations, and in turn, how geographical location and plantation management characteristics moderate these impacts.</span></p> <p class="MsoListParagraphCxSpMiddle">2.<span> </span><span>Focusing on herpetofauna (amphibians and reptiles) as the most endangered vertebrate group, we performed a global synthesis using 41 scientific articles that reported species richness or abundance in pastures and forestry plantations relative to natural forest in 191 case studies among 19 countries. </span></p> <p class="MsoListParagraphCxSpMiddle">3.<span> </span><span>We found a severe negative effect of pasture and a less negative effect of forestry plantations on species richness and abundance of herpetofauna.</span> <span>Within plantations, species richness and total abundance were more negatively impacted in amphibians than reptiles, in the tropics, when planting exotic tree species, monocultures, large or commercial plantations, and when clearing understory vegetation. Yet mixed, old, small, or </span>conservation plantations and those permitting recovery of understory vegetation had no negative impacts relative to the reference natural forest.</p> <p class="MsoListParagraphCxSpLast">4.<span> </span><em><span>Synthesis and applications</span></em><span>. The loss of herpetofauna species richness and abundance underscores the importance of h</span>alting ongoing tropical deforestation for pasture and intensive forestry plantations. The potential for <span>a</span>ppropriately managed f<span>orestry plantations to support biodiversity in regions lacking forest cover, including via replacement of anthropogenic pastures, </span>suggests that such plantations have an important role <span>under global reforestation agendas.</span></p> <p> </p>
Meta-analysis of Antarctic phylogeography reveals strong sampling bias and critical knowledge gaps
<p>Much of Antarctica's highly endemic terrestrial biodiversity is found in small ice-free patches. Substantial genetic differentiation has been detected among populations across spatial scales. Sampling is, however, often restricted to commonly-accessed sites, and we therefore lack a comprehensive understanding of broad-scale biogeographic patterns, which could impede forecasts of the nature and impacts of future change. Here, we present a synthesis of published genetic studies across terrestrial Antarctica and the broader Antarctic region, aiming to identify current biogeographic patterns, environmental drivers of diversity, and future research priorities. A database of all published genetic research from terrestrial fauna and flora (excl. microbes) across the Antarctic region was constructed. This database was then filtered to focus on the most well-represented taxa and markers (mitochondrial COI for fauna, and nuclear ITS for flora). The final dataset comprised 7222 records, spanning 153 studies of 335 different species. There was strong taxonomic bias towards flowering plants (52% of all floral data sets) and springtails (54% of all faunal data sets), and geographic bias towards the Antarctic Peninsula and Victoria Land. Recent connectivity between the Antarctic continent and neighbouring landmasses, such as South America and the Southern Ocean Islands (SOIs), was inferred for some groups, but patterns observed for most taxa were strongly influenced by sampling biases. Above-ground wind speed and habitat heterogeneity were positively correlated with genetic diversity indices overall, though environment was a generally poor predictor of genetic diversity. The low resolution and variable coverage of data may also have reduced the power of our comparative inferences. In the future, higher-resolution data, such as genomic SNPs and environmental modelling, alongside targeting sampling of remote sites and under-sampled taxa, will address current knowledge gaps and greatly advance our understanding of evolutionary processes across the Antarctic region.</p>
Effects of land clearing for agriculture on soil organic carbon stocks in drylands: A meta-analysis
<p><span>To improve our understanding of clearing natural ecosystems for cropland on soil organic carbon stocks in drylands, we searched for related peer-reviewed research papers published from 1980 to 2022 on the Web of Science (<a href="https://www.webofscience.com">https://www.webofscience.com</a>) and the Scopus Database (<a href="https://www.scopus.com">https://www.scopus.com</a>) (accessed on 30th April 2022). Then, we screened papers for </span><span>integrity, relevance, and scientific merit under the following criteria: (1) We made sure all studies were independent and based on field-measured data; (2) Each study had to report paired SOC stocks of cropland and adjacent natural ecosystems with the same or a similar suite of environmental factors; (3) Studies need to explicitly present results on SOC stocks or concentrations for certain depths and areas; (4) Studies have specified the types of natural ecosystems that were converted to cropland, which are used as criteria for defining CNEC types. Finally, we winnowed results to a total of 159 scientific journal articles, comprising 242 sites with 1379 paired soil layer observations from 601 paired soil profiles.</span></p>
Plant secondary metabolic responses to global climate change: A meta-analysis in medicinal and aromatic plants
<p><span>Plant secondary metabolites (SMs) play crucial roles in plant-environment interactions and contribute greatly to human health. Global climate changes are expected to dramatically affect plant secondary metabolism, yet a systematic understanding of such influences is still lacking. Here, we employed medicinal and aromatic plants (MAAPs) as model plant taxa and performed a meta-analysis from 360 publications using 1828 paired observations to assess the responses of different SMs levels and the accompanying plant traits to elevated carbon dioxide (eCO<sub>2</sub>), elevated temperature (eT), elevated nitrogen deposition (eN), and decreased precipitation (dP). The overall results showed that phenolic and terpenoid levels generally respond positively to eCO<sub>2</sub> but negatively to eN, while the total alkaloid concentration was increased remarkably by eN. By contrast, dP promotes the levels of all SMs, while eT exclusively exerts a positive influence on the levels of phenolic compounds. Further analysis highlighted the dependence of SM responses on different moderators such as plant functional types, climate change levels or exposure durations, mean annual temperature and mean annual precipitation. Moreover, plant phenolic and terpenoid responses to climate changes could be attributed to the variations in C/N ratio and total soluble sugar levels, while the <em>trade-off</em> supposition contributed to SM responses to climate changes other than eCO<sub>2</sub>. Taken together, our results predicted the distinctive SM responses to diverse climate changes in MAAPs, and allowed us to define potential moderators responsible for these variations. Further, linking SM responses to C-N metabolism and growth-defence balance provided biological understandings in terms of plant secondary metabolic regulation.</span></p>
Soft tissue changes in extraction versus non-extraction treatment with fixed orthodontic appliances: a systematic review and meta-analysis
<p>Export of the dataset used in Stata to conduct all meta-analyses reported in the published paper.</p>
Meta-analysis of the human upper respiratory tract microbiome reveals robust taxonomic associations with health and disease.
<p>Contains all intermediate data files for the article <strong>Meta-analysis of the human upper respiratory tract microbiome reveals robust taxonomic associations with health and disease, </strong>Quinn-Bohmann et al. 2024. </p> <p>NP and OP refers to nasopharyngeal or oropharyngeal samples, respectively. As some study identifiers are duplicated across these groups, qiime_NP and qiime_OP should be unzipped in distinct directories. The same applies for metadata data files. </p> <p>Analyses of these data can be found at https://github.com/Gibbons-Lab/2023_URTmetaanalysis/tree/main. </p>
Extracted data for meta-analysis: Distal versus proximal radial access in coronary angiography
<p>Data base underlying quantitative meta-analysis in the manuscript titled "Distal versus proximal radial access in coronary angiography: A meta-analysis" by Lueg, Schulze, Stöhr, & Leistner.</p> <p>Data allows meta-analysis of primary endpoint (RAO), secondary endpoints, meta-regression for moderator analysis, and publication bias analysis.</p>
Mutational Profiling in Epithelial Ovarian Cancer: A Meta-Analysis of 435 Patients Dataset
<p><strong>Data Description</strong></p> <p>0 represents no mutation, 1 represents a mutation</p> <p>Survive relates to the survival outcome of the patient. SurviveTime is in days (7300 chosen for alive patients).</p> <p>Ovarian Cancer Patients</p> <ul> <li>361 count</li> <li>TP53, BRCA1, BRCA2, KMT2C, CDK12, CSMD3, TTN, MUC16, NF1, PALB2, RB1, PTEN, FOXM1, BRIP1, KRAS, RASA1, CHEK2, RAD50, RAD51C/D, MRE11A, NBN, FANCE, FANCD2, ATR, ATM, MSH2, PMS2, MLH1, MSH6, FAT1, FAT2, FAT3, FAT4</li> </ul> <p>Uterine Cancer Patients</p> <ul> <li>437 count</li> <li>MSH6, CDK12, PMS2, BRIP1, FAT1, CSMD3, FAT4, BRCA2, MUC16, PALB2, KRAS, BRCA1, MSH2, PTEN, TP53, NF1, KMT2C, FAT3, FANCD2, ATM, NBN, ATR, CHEK2, FANCE, MLH1</li> </ul> <p>Cervical Cancer Patients</p> <ul> <li>174 count</li> <li>CSMD3, CDK12, FAT1, BRIP1, RB1, FAT4, BRCA2, MUC16, PALB2, KRAS, TP53, PTEN, KMT2C, FAT3, BRCA1, NF1, ATM, FANCD2, NBN, ATR, MLH1</li> </ul>
Data from: Tamm Review: a meta-analysis of thinning, prescribed fire, and wildfire effects on subsequent wildfire severity in conifer dominated forests of the Western US
<p>Increased understanding of how active forest management (i.e., mechanical thinning, prescribed burning, and managed wildfire) affects subsequent wildfire severity is urgently needed as people and forests face a growing wildfire crisis. In response, we reviewed scientific literature for the US West and completed a meta-analysis that answered three questions: (1) How much do treatments reduce wildfire severity within treated areas? (2) How do the effects vary with treatment type, treatment age, and forest type? (3) How does fire weather moderate the effects of treatments? We found overwhelming evidence that mechanical thinning with prescribed burning, mechanical thinning with pile burning, and prescribed burning only are effective at reducing subsequent wildfire severity, resulting in reductions in severity from 62% to 72% relative to untreated areas. In comparison, thinning only was less effective – underscoring the importance of treating surface fuels when mitigating wildfire severity is the management goal. The efficacy of these treatments did not vary among forest types assessed in this study and was high across a range of fire weather conditions. Prior wildfire had more complex impacts on subsequent wildfire severity, which varied with forest type and initial wildfire severity. Across treatment types, we found that effectiveness of treatments declined over time, with the mean reduction in wildfire severity decreasing nearly threefold when wildfire occurred greater than 10 years after initial treatment. Our meta-analysis provides up-to-date information on the extent to which active forest management reduces wildfire severity and facilitates better outcomes for people and forests during future wildfire events. </p>
The effects of primary or secondary prevention with vitamin A supplementation on clinically important outcomes. A systematic review of randomised clinical trials with meta-analysis and Trial Sequential Analysis
<p>Meta data for the review entitled "The effects of primary or secondary prevention with vitamin A supplementation on clinically important outcomes. A systematic review of randomised clinical trials with meta-analysis and Trial Sequential Analysis<strong>"</strong></p>
X-linked multi-ancestry meta-analysis reveals tuberculosis susceptibility variants
<p>Globally, tuberculosis (TB) presents with a clear male bias that cannot be completely accounted for by environment, behaviour, socioeconomic factors, or the impact of sex hormones on the immune system. This suggests that genetic and biological differences, which may be mediated by the X chromosome, further influence the observed male sex bias. The X chromosome is heavily implicated in immune function and yet has largely been ignored in previous association studies. Here we report the first multi-ancestry X chromosome specific meta-analysis on TB susceptibility. We identified X-linked TB susceptibility variants using seven genotyping data sets and 20,255 individuals from diverse genetic ancestries. Sex-specific effects were also identified in polygenic heritability between males and females along with enhanced concordance in direction of genetic effects for males but not females. These sex-specific genetic effects were supported by a sex-stratified and combined meta-analysis conducted using the X chromosome specific XWAS software and a multi-ancestry analysis using the MR-MEGA software. Seven significant associations were identified. Two in the overall analysis (rs6610096, rs7888114) and a second for the female specific analysis (rs4465088) including all data sets. For the ancestry specific meta-analysis three significant associations were identified for males in the Asian cohorts (rs1726176, rs5939510, rs1726203) and one in females for the African cohort (rs2428212). Several genomic regions previously associated with TB susceptibility were reproduced in this study, along with strong ancestry-specific effects. These results support the hypothesis that the X chromosome and sex-specific effects could significantly impact the observed male bias in TB incidence rates globally. </p>
Carbon Dioxide and Methane Flux Meta Analysis, Schaerer et al: Permafrost microbes unleashed: thaw reactors provide timely insights into greenhouse gas feedbacks for climate stewardship
<p>Meta-analysis results and workflow: <strong>Meta-Analysis-Report-V1.pdf</strong> </p> <p>raw data tables for input into meta-analysis:</p> <p><strong>co2_flux_by_layer_temp.csv</strong></p> <p><strong>co2_flux_by_layer_time.csv</strong></p> <p><strong>ch4_flux_by_layer_temp.csv</strong></p> <p><strong>ch4_flux_by_layer_time.csv</strong></p> <p><strong>co2_flux_by_headspace_temp.csv</strong></p> <p>(Data included in these tables was digitized using the R package metaDigitize)</p> <p>****</p> <p>We also attempted to summarize the raw data from 12 studies which is summarized in the <strong><em>Flux_Summary_Report </em></strong>document. we converted all units into mg C / g Soil * d (calculations are included in the <strong><em>co2_meta_analysis</em></strong> spreadsheet). For studies not reporting raw data or data tables (7/12 studies), we estimated the values from the figures manually. This typically resulted in an estimate of the mean flux of several replicates (all studies had 3-10 replicates). We filled in metadata as well as we could based on the information available in the papers, although there were many gaps. This information is summarized in the <strong><em>flux_data_compilation</em> </strong>spreadsheet.</p> <p>Studies in the raw data comparison include: Mackelprang 2011, Waldrop 2010 & 2021, Barbato 2022, Dang 2022, Muller 2018, Monteaux 2020, Dutta 2006, Lee 2012, O'Donnell 2009, Roy Chowdhury 2014, Trubl 2021.</p>
Figure 5 in Frequency of pyrethroid resistance in human head louse treatment: systematic review and meta-analysis
Figure 5. Funnel chart of proportion resistance in the selected studies.
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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.