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556 results for “Meta Data”
Data from: What are the environmental determinants of phenotypic selection? A meta-analysis of experimental studies
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Data from: Human paths have positive impacts on plant richness and diversity: a meta-analysis
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Data from: Resilience of tropical dry forests – a meta-analysis of changes in species diversity and composition during secondary succession
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Data from: The impact of anthropogenic disturbances on the genetic diversity of terrestrial species: a global meta-analysis
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Data from: Optimal taxonomic groups for biodiversity assessment: a meta-analytic approach
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Data from: Towards a predictive framework for biocrust mediation of plant performance: a meta-analysis
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Data from: Does moonlight increase predation risk? Meta-analysis reveals divergent responses of nocturnal mammals to lunar cycles
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Data from: Pharmacoeconomic study of anti-influenza virus drugs in Japan based on a network meta-analysis
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Data from: Which landscape size best predicts the influence of forest cover on restoration success? – A global meta-analysis on the scale of effect
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Data from: Understanding the spatial scale of genetic connectivity at sea: unique insights from a land fish and a meta-analysis
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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
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Data from: Fire season and drought influence fire effects on invasive grasses: A meta-analysis
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Data from: Comparing traditional and Bayesian approaches to ecological meta-analysis
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Meta-analysis data for Microcystin as a Biogeochemical Cycle: pools, fluxes, and fates of the cyanotoxin in inland waters
We constructed a conceptual biogeochemical model for microcystin through a comprehensive literature synthesis, identifying four major pools and nine major fluxes in lakes that also connect to the terrestrial environment. We also performed a literature synthesis, collating measurements of various pools and fluxes of microcystin in inland waters from the literature. A subset of those values were used in an analysis of microcystin detection for field surveys of waterbodies and a random effects model to estimate the mean and 95% confidence interval for various microcystin pools and fluxes in lakes.
Data, Rcode and Supplementary Materials for: Effects of virgin micro- and nano-plastics on fish: Trends, meta-analysis and perspectives
<p><strong>Review_MNNP_Fish</strong></p> <p>Data, Rcode and Supplementary Materials for: Effects of virgin micro- and nano-plastics on fish: Trends, meta-analysis and perspectives</p> <p><strong>Supplementary_Information_1.pdf</strong>:<br> This document contains a list of names that are used in the database (see Supplementary_Information_2) to describe the biological endpoints investigated within the 46 studies that we have reviewed</p> <p><strong>Supplementary_Information_2.xlsx</strong>:<br> This document contains 6 sheets:</p> <ul> <li>'Database' sheet: contains the full database compiling the 46 studies and 782 biological endpoints analyzed in this review paper.</li> <li>'INFO' sheet: contains the information to understand how MP/NP sizes and concentrations were attributed to classes</li> <li>'Size_Class_analytics' sheet: contains the analyzed data (from the database) regarding MP/NP size classes and effects on fish biological functions. This sheet is used to build Figure 4.</li> <li>'Mass_Conc_analytics' sheet: contains the analyzed data (from the database) regarding MP/NP mass concentration classes and effects on fish biological functions. This sheet is used to build Figure 4.</li> <li>'Part_Conc_analytics' sheet: contains the analyzed data (from the database) regarding MP/NP particle concentration classes and effects on fish biological functions. This sheet is used to build Figure 4.</li> <li>'Exposure_Path_analytics' sheet: contains the analyzed data (from the database) regarding MP/NP exposure pathway and effects on fish biological functions. This sheet is used to build Figure 3.</li> </ul> <p><strong>Plabib_Fig2.xlsx</strong>:<br> This document contains the data necessary to build Figure 2 of this review paper. Data has been extracted from Supplementary_Information_2 database.</p> <p><strong>Plabib_Fig3_pie.txt</strong>:<br> This document contains the data necessary to build Figure 3 pie chart. Data has been extracted from Supplementary_Information_2 database.</p> <p><strong>PlaBib_Rcode_forFigures.R</strong>:<br> This document contains the Rcode necessary to build all figures from this manuscript</p>
Supporting Data for Tanioka and Matsumoto (2020), A meta-analysis on environmental drivers of marine phytoplankton C:N:P, Biogeosciences
<p>This dataset contains files used to make figures for Tanioka, T., & Matsumoto, K. (2020). A meta-analysis on environmental drivers of marine phytoplankton C:N:P. <em>Biogeosciences</em>, <em>17</em>(11), 2939–2954. <a href="https://doi.org/10.5194/bg-17-2939-2020">https://doi.org/10.5194/bg-17-2939-2020</a></p> <p><strong>Files uploaded:</strong></p> <p><strong>Bibliography</strong></p> <ol> <li>AppendixS1.pdf : list of 104 papers used in the main meta-analysis.</li> </ol> <p><strong>Excel spreadsheets</strong>:</p> <ol> <li>New_data_190211a.xlsx: C:N and C:P dataset</li> <li>res_all_190211a_P.csv: Effect sizes calculated for each P experiment</li> <li>res_all_190211a_N.csv: Effect sizes calculated for each N experiment</li> <li>res_all_190211a_Fe.csv: Effect sizes calculated for each Fe experiment</li> <li>res_all_190211a_I.csv: Effect sizes calculated for each I experiment</li> <li>res_all_190211a_I.csv: Effect sizes calculated for each T experiment</li> <li>META_BIiblio_articles1st_k4899.xlsx : list of 4899 in the first round of data collection/screening (see Fig. 1 in the main text)</li> <li>META_Biblio_articles2nd_k948.xlsx : list of 948 papers in the second round of data collection/screening (see Fig. 1 in the main text)</li> <li>META_Biblio_articles3rd_k196.xlsx : list of 196 papers in the third round of data collection/screening (see Fig. 1 in the main text)</li> </ol> <p><strong>R scripts:</strong></p> <ol> <li>analysis_190211a_test_P.R: script to conduct meta-analysis on P experiments</li> <li>analysis_190211a_test_N.R: script to conduct meta-analysis on N experiments</li> <li>analysis_190211a_test_F.R: script to conduct meta-analysis on Fe experiments</li> <li>analysis_190211a_test_I.R: script to conduct meta-analysis on I experiments</li> <li>analysis_190211a_test_T.R: script to conduct meta-analysis on T experiments</li> <li>functions_eff_logrr.R: function file to calculate ln(RR) (used in “analysis_190211a_test_X.R”)</li> <li>functions_scalc.R function file to calculate s-factor (used in “analysis_190211a_test_X.R”)</li> </ol>
Wealth, water and wildlife: landscape aridity intensifies the urban Luxury Effect - data used in meta-analysis
<p>The available Excel file contains all data used in the meta-analysis to analyse the Luxury Effect (i.e. the relationship between urban biodiversity and socioeconomic status) and its moderators (wealth status, species provenance and precipitation). Each column in the data set (tab ‘Data’) is defined as follows:</p> <p><strong>Location</strong>: Location (e.g. city) where a given study took place. If more than one geographical location was considered, they are detailed in the column 'Sample'</p> <p><strong>Sample: </strong>Any separate samples based either on location or temporal sampling period (e.g. geographical location, habitat types, different years) considered in a given paper. If the column is blank, only one location or period was considered.</p> <p><strong>Biodiversity measure: </strong>Defined into either diversity or abundance measures as defined in the text.</p> <p><strong>Response variable: </strong>The precise response variable analysed in the paper.</p> <p><strong>Socioeconomic variable: </strong>The socioeconomic variable analysed in the paper.</p> <p><strong>Provenance: </strong>Native or exotic species, where specified. 'All' refers both to papers where it was explicitly stated that both native and exotic species were considered, and those where no information was given, but we assumed that native and exotic species had been considered.</p> <p><strong>Development status: </strong>Countries with developed economies ('Rich') and countries with developing economies 'Poor') as defined in the text.</p> <p><strong>Gradient length: </strong>Studies including only urbanized areas ('Short') and those also including rural sampling locations ('Long').</p> <p><strong>Precipitation: </strong>in mm.</p> <p><strong>Pearson's r: </strong>Standardized values used in the meta-analysis.</p> <p> </p> <p>Note the above information is also available in the Excel file in the ‘Notes’ tab. </p> <p> </p>
Data from: Intravenous thrombolysis in patients with chronic kidney disease: A systematic review and meta-analysis
<p><b><span>Objective</span></b><span> We sought to determine the association of chronic kidney disease (CKD) with the safety and efficacy of intravenous thrombolysis (IVT) among acute ischemic stroke (AIS) patients.</span></p> <p><b><span>Methods</span></b><span> Systematic review and pairwise meta-analysis of studies involving patients with CKD undergoing IVT for AIS were conducted to evaluate the following outcomes: symptomatic intracranial hemorrhage (sICH), asymptomatic and any ICH, in-hospital and 3-month mortality, </span>3-month favorable functional outcome (FFO, mRS 0-1) and <span>3-month functional independence (FI, mRS 0-2). CKD was defined using estimated glomerular filtration rate (eGFR) ranging from mild (eGFR: 60-89ml/min), moderate (eGFR: 30-59ml/min) and severe (eGFR: 15-29ml/min). </span></p> <p><b><span>Results</span></b><span> We identified 20 studies comprising </span>60,486 AIS <span>patients treated with IVT. In unadjusted analyses, CKD was associated with </span>sICH according to NINDS (7 studies; OR=1.41, 95%CI: 1.19–1.67) and ECASS-II (9 studies; OR=1.37, 95%CI: 1.01–1.85) definitions, any ICH (8 studies; OR=1.42, 95%CI: 1.18–1.70), 3-month mortality (9 studies; OR = 2.20, 95%CI: 1.72–2.81)<span>, </span>3-month FFO (8 studies; OR=0.58, 95%CI: 0.47–0.72) and <span>3-month FI</span> (8 studies; OR=0.57, 95%CI: 0.46–0.71). In adjusted analyses, <span>CKD</span> was associated with sICH according to NINDS (4 studies; OR<sub>adj</sub>=1.34, 95%CI: 1.01–1.79) and ECASS-II (3 studies; OR<sub>adj</sub>=2.08, 95%CI 1.27–3.43) definitions, any ICH (6 studies; OR<sub>adj</sub>=1.41, 95%CI 1.01–1.97), in-hospital mortality (2 studies; OR<sub>adj</sub> =1.19; 95%CI, 1.09-1.30) and 3-month FFO (6 studies; OR<sub>adj</sub>=0.80, 95%CI 0.70–0.92). </p> <p><b><span>Conclusions</span></b><span> After adjustment for confounders in this pairwise meta-analysis, moderate-severe CKD is associated with increased risks of intracranial hemorrhage and worse functional outcomes among AIS patients treated with IVT. </span></p>
Data for the strength-ductility enhancement of 316L stainless steel meta-crystal lattice of architected materials by harnessing the non-equilibrium solidification in metal additive manufacturing
<p>Raw (tabular) CALPHAD data for SLM produced 316L stainless steel.</p>
Supplementary material 3 from: Fryssouli V, Zervakis GI, Polemis E, Typas MA (2020) A global meta-analysis of ITS rDNA sequences from material belonging to the genus Ganoderma (Basidiomycota, Polyporales) including new data from selected taxa. MycoKeys 75: 71-143. https://doi.org/10.3897/mycokeys.75.59872
Figure S2a
ScienceDex guides
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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.