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958 results for “Data quality”
Data from: The effects of male harm vary with female quality and environmental complexity in Drosophila melanogaster
Mate competition provides the opportunity for sexual selection which often acts strongly on males, but also the opportunity for sexual conflict that can alter natural selection on females. Recent attention has focused on the potential of sexual conflict to weaken selection on females if male sexual attention, and hence harm, is disproportionately directed toward high over low quality females, thereby reducing the fitness difference between these females. However, sexual conflict could instead strengthen selection on females if low quality females are more sensitive to male harm than high quality females, thereby magnifying fitness differences between them. We quantify the effects of male exposure on low vs. high quality females in Drosophila melanogaster in each of two environments ("simple" and "complex") that are known to alter behavioural interactions. We show that the effects of male harm are greater for low compared to high quality females in the complex but not the simple environment, consistent with mate competition strengthening selection on females in the former but not in the latter environment.
Data quality definitions systematic search; data and coding (2008-2024 april, version edit Dimensional-definitions worksheet)
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Data for Development and Evaluation of a North America Ensemble Wildfire Air Quality Forecast: Initial Application to the 2020 Western United States "Gigafire"
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Ischia cGNSS Network - Rinex data quality control (2020)
<p>For each cGNSS station, the file contains a summary report with information about Rinex observation data. For each day, the summary line shows the following information:</p><ol><li>cGNSS station name (Name),</li><li>the start time of the window, the time format is year (Y), month (M), day (D), hour and minutes (Hour), day of year (DOY), modified Julian date (M J Date) and GNSS week (Week),</li><li>the end time of the window, the time format is year (Y), month (M), day (D), hour and minutes (Hour), day of year (DOY), modified Julian date (M J Date), and GNSS week (Week),</li><li>the start and end times of the window (time format is year month day hour min),</li><li>window time laps (Hrs),</li><li>observation interval (OI),</li><li>the number of possible observations (#expt) above the elevation mask,</li><li>the number of complete observations (#obs),</li><li>the ratio of complete to possible observations as a percent (DCP),</li><li>the RMS "multipath combinations" values MP1 and MP2, in meters, limited by the elevation mask (MP1, MP2) rounded to two decimal points,</li><li>cycle slips (CS),</li><li>the ratio of complete observations to cycle slips (obs/CS).</li></ol><p>A full description of cGNSS network is reported in:<br>- De Martino P, Dolce M, Brandi G, Scarpato G, Tammaro U (2021). The Ground Deformation History of the Neapolitan Volcanic Area (Campi Flegrei Caldera, Somma–Vesuvius Volcano, and Ischia Island) from 20 Years of Continuous GPS Observations (2000–2019). Remote Sensing. 13(14):2725. doi:10.3390/rs13142725.</p><p>Please cite this when using the dataset</p>
Data Extraction and Quality Assessment about Cybersecurity in the Context of Agile Software Development
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The Influence of Study Quality, Age, and Geographic Factors on Polycystic Ovary Syndrome Prevalence-A Systematic Review and Meta-Analysis (Supplemental data)
<p><strong><span>Supplemnatray data for manuscript tentatively entitled "The Influence of Study Quality, Age, and Geographic Factors on </span></strong><strong><span>Polycystic Ovary Syndrome Prevalence</span></strong><strong><span>-A Systematic Review and Meta-Analysis", including: </span></strong></p> <p><strong><span>Supplementary Table 1.</span></strong><span> Search strategy and its results including studies published until February 29<sup>th</sup> of 2024.</span></p> <p><strong><span>Supplementary Table 2.</span></strong><span> The quality assessment results of studies conducted on adults based on the Polycystic ovary syndrome (PCOS) Epidemiology and Phenotype (PEP) tool. </span></p> <p><strong><span>Supplementary Table 3.</span></strong><span> The quality assessment results of studies conducted on adolescents based on <a name="_Hlk176077530"></a>the Polycystic ovary syndrome (PCOS) Epidemiology and Phenotype (PEP) tool. </span></p> <p><strong><span>Supplementary Table 4.</span></strong><span> The quality assessment results of studies conducted on mixed populations (both adults and adolescents) based on PCOS Epidemiology and Phenotype (PEP) tool. </span></p> <p><strong><span>Supplementary Figure 1 (A-D). </span></strong><span>Forest plots of global PCOS prevalence stratified by diagnostic criteria (regardless of study quality, age group, and geographic region): A) NIH, B) Rotterdam, C) AE-PCOS, D) Self-report: A) NIH, B) Rotterdam, C) AE-PCOS, D) Self-report.</span></p> <p><strong><span>Supplementary Figure 2 (A-C</span></strong><span>). Forest plots of global PCOS prevalence stratified by WHO region and diagnostic criteria (regardless of study quality and age group): A) NIH, B) Rotterdam, C) AE-PCOS.</span></p> <p><strong><span>Supplementary Figure 3 (A-C).</span></strong><span> </span><a name="_Hlk174390393"></a><span>Forest plots of PCOS prevalence stratified by diagnostic criteria and age group (adults vs. adolescent) (regardless of study quality): A) NIH, B) Rotterdam, C) AE-PCOS.</span></p> <p><strong><span>Supplementary Figure 4 (A-C).</span></strong><span> Sensitivity Analysis based on high-quality studies: Impact of individual study exclusion on pooled prevalence</span> <span>(using high-quality studies only)- A) NIH, B) Rotterdam, C) AE-PCOS.</span></p>
Replication data of Autonomous flow routing for near real-time quality of service assurance
<p>The dataset contains replication data of the journal paper titled "Autonomous Flow Routing for Near Real-Time Quality of Service Assurance", published in IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2023.3339201.</p>
Supplemental data. Experimentally manipulated food availability affects offspring quality but not quantity in zebra finch meso-populations
<p>Data used for the publication: " Experimentally manipulated food availability affects offspring quality but not quantity in zebra finch meso-populations "</p>
Animations and raw data to illustrate the location and registration quality of SEM + EDX + laser ablation datasets
<p>Video animations of the three mapping areas discussed in the (yet unpublished) paper "<em>LA-ICP-MS and SEM-EDX for spatially resolved major minor and trace element detection in cement clinker phases</em>" and its supplementary document.</p> <p>This dataset is based on scanning electron microscopy (SEM) in combination with energy dispersive X-ray spectrometry (EDX) and aser ablation in combination with inductively coupled plasma mass spectrometry (LA-ICP-MS). The animations illustrate the exact position of the SEM-EDX mapping and the LA-ICP-MS mapping. Additionally all available SEM images (Backscatter electron (BSE) and secondary electron (SE) images) and their location are visualized.</p> <p>The SEM images of area 1 and area 2 were acquired using a high-resolution dual beam SEM (Helios G4 UX, ThermoFischer Scientific), equipped with a silicon drift EDX detector (XMAX 80, Oxford Instruments, UK). Area 3 was examined using a high-resolution SEM (NanoSEM, FEI) with another EDX-detector (EDAX/AMETEK Octane Elect Plus). </p> <p>Laser ablation was done with a ns-Nd:YAG-laser (ESI NWR 213 Nd:YAG) at the quintupled wavelength of 213 nm. The laser spot size was set to 6 µm x 6 µm.</p> <p>The dataset contains the the video files (animation area <strong>x</strong>.mp4), the images and the Kdenlive file to generate the video files (raw_area <strong>x</strong>_animation.zip) and the raw SEM images (raw_area <strong>x</strong>_<strong>y</strong>.tif) as acquired and in some cases an edited version (raw_area <strong>x</strong>_<strong>y_</strong>touchup.tif).</p> <p><strong>x</strong> = area number</p> <p><strong>y</strong> = image descripton</p>
R code: Large-scale assessment of bird data quality in a citizen science platform
<p>R code archived to Zenodo for publication</p>
Data from: A critical evaluation of the volume, relevance and quality of evidence submitted by the tobacco industry to oppose standardised packaging of tobacco products
Objectives: To examine the volume, relevance and quality of transnational tobacco corporations' (TTCs) evidence that standardised packaging of tobacco products 'won't work', following the UK government's decision to 'wait and see' until further evidence is available. Design Content analysis. Setting: We analysed the evidence cited in submissions by the UK's four largest TTCs to the UK Department of Health consultation on standardised packaging in 2012. Outcome measures: The volume, relevance (subject matter) and quality (as measured by independence from industry and peer-review) of evidence cited by TTCs was compared with evidence from a systematic review of standardised packaging . Fisher's exact test was used to assess differences in the quality of TTC and systematic review evidence. 100% of the data were second-coded to validate the findings: 94.7% intercoder reliability; all differences were resolved. Results: 77/143 pieces of TTC-cited evidence were used to promote their claim that standardised packaging 'won't work'. Of these, just 17/77 addressed standardised packaging: 14 were industry connected and none were published in peer-reviewed journals. Comparison of TTC and systematic review evidence on standardised packaging showed that the industry evidence was of significantly lower quality in terms of tobacco industry connections and peer-review (p<0.0001). The most relevant TTC evidence (on standardised packaging or packaging generally, n=26) was of significantly lower quality (p<0.0001) than the least relevant (on other topics, n=51). Across the dataset, TTC-connected evidence was significantly less likely to be published in a peer-reviewed journal (p=0.0045). Conclusions: With few exceptions, evidence cited by TTCs to promote their claim that standardised packaging 'won't work' lacks either policy relevance or key indicators of quality. Policymakers could use these three criteria—subject matter, independence and peer-review status—to critically assess evidence submitted to them by corporate interests via Better Regulation processes.
Botrytis_data_Quality_Control
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The data of Multi-task learning aids in assessing microbial genome quality
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Power Quality Disturbance Training Data for Compression tasks
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Characterizing Quality Concerns of Public Procurement Data
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FIGURE A2 in Testing the impact of two key scan parameters on the quality and repeatability of measurements from CT scan data
FIGURE A2. Box and whisker plots of impact of the number of x-ray radiographs averaged per view on the signal-to-noise ratio of (1) the background, and (2) the shell material. The background SNR increases with increased number of averages because this random noise is averaged out as more x-ray radiographs are collected. The material SNR decreases with increasing number of x-ray radiographs which suggest the data are noisy and the noise is not random. Data are available in Appendix 4.
FIGURE A1.1 in Testing the impact of two key scan parameters on the quality and repeatability of measurements from CT scan data
FIGURE A1.1. Variation in total shell volume with exposure time when different surface determination calculation methods are used. Three scans were interpreted for this graph, one from each exposure time.
FIGURE 3. A in Testing the impact of two key scan parameters on the quality and repeatability of measurements from CT scan data
FIGURE 3. A schematic diagram of CT data (A) and slices of CT data collected as part of the scan parameter experiment (B-E). The presented data are sections through the central whorl of a shell of the pteropod Limacina retroversa. The green line in part 1 represents the boundaries of the shell material. The yellow box represents the same region on each scan. The white material is shell, the dark grey material is organic matter, and the black material is air. The difference among the three materials is clearer at the longer scan times (D and E) than the shorter scan times (B and C), making it easier to separate digitally and quantify the different materials.
ChatGPT to Support to Public Procurement Data Quality Evaluation from the Supplier Perspective
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Experimental data generated to study the quality-dependent performance of hydrophobic ZIF-67 upon water intrusion–extrusion process
<p><span>Open access to experimental data generated by the project <span><a href="https://www.electro-intrusion.eu/en"><span>Electro-Intrusion</span></a></span><span> (101017858, Horizon 2020, European Union) </span>along with the research on the hydrophobic porous materials to be used in intrusion-extrusion applications. Research pertaining to Task 2.1 (WP2).</span></p> <p><span>Underlying data for the publication Amayuelas, E. et al. Quality-dependent performance of hydrophobic ZIF-67 upon high-pressure water intrusion–extrusion process. Physical Chemistry Chemical Physiscs 2024, 267, 2440-2448. <a title="Link to landing page via DOI" href="https://doi.org/10.1039/D3CP03519K">https://doi.org/10.1039/D3CP03519K</a>. Data related to Figures 1, 2 and 4 in the article.</span></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.