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Dataset results
557 results for “data reporting”
Data from: Transgender transitioning and change of self-reported sexual orientation
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Data from: PCR duplication: a one-step cloning-free method to generate duplicated chromosomal loci and interference-free expression reporters in yeast
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Data from: Reporting tumor molecular heterogeneity in histopathological diagnosis
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Data from: Accuracy of popular media reporting on tobacco cessation therapy in substance abuse and mental health populations
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Data from: Clinical trial transparency: a reassessment of industry compliance with clinical trial registration and reporting requirements in the United States
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Data accompanying the Registered Report: Does unfairness sound wrong? A cross-domain investigation of expectations in music and social decision-making.
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Data from: Do failures in non-technical skills contribute to fatal medical accidents in Japan? A review of the 2010–2013 national accident reports
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Data from: HEI research report: Measuring and modeling air pollution and noise exposure near unconventional oil and gas development in Colorado
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Data from: Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report
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Data from: Patient-Reported Symptoms in Facioscapulohumeral Muscular Dystrophy (PRISM-FSHD)
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Data from: Optimized application of the secreted Nano-luciferase reporter system using an affinity purification strategy
Secreted Nano-luciferase (secNluc) is a newly engineered secreted luciferase that possesses advantages of high structural stability, long half-life, and glow-type kinetics together with high light emission intensity, and thus would become one of the most valuable tools for bioluminescence assays. However, like other secreted luciferases, secNluc has to mix with the components in the conditioned medium surrounding test cells, or in the biological samples such as blood or urine after being secreted. These components may interfere with secNluc-catalyzed bioluminescence reactions and thus limit the application of the secNluc reporter system. In this study, we first examined the effects of three factors, pH, serum and residual reagents, on secNluc-catalyzed bioluminescence reactions, finding that these factors could interfere with bioluminescence reactions and result in background signal. To resolve these problems, we applied a simple affinity purification strategy in which secNluc was fused with a FLAG-tag, and anti-FLAG magnetic beads were used to catch and transfer the fusion protein to PBST, an optimal buffer for secNluc-catalyzed bioluminescence reactions that was identified in this study. The results indicated that this strategy could not only negate the interferences from serum or residual reagents and enhance the stability of light emission but also greatly increase signal intensity through enzyme enrichment. This strategy may contribute to biomedical studies that utilize secNluc and other secreted luciferases, especially those requiring superior sensitivity, low background noise and high reproducibility.
Data associated with Cell Reports publication: Dura-Bernal, Griffith, et al. 2023, "Data-driven multiscale model of macaque auditory thalamocortical circuits reproduces in vivo dynamics" (4/4)
<p>This dataset includes experimental data used to constrain and validate the model, and model simulation output data for the following Cell Reports publication: <a href="https://www.cell.com/cell-reports/fulltext/S2211-1247(23)01390-6">https://www.cell.com/cell-reports/fulltext/S2211-1247(23)01390-6</a></p><p>The source code for the associated A1 model and data analysis can be found here: <a href="https://github.com/NathanKlineInstitute/Macaque_auditory_thalamocortical_model_data">https://github.com/NathanKlineInstitute/Macaque_auditory_thalamocortical_model_data</a>.</p><p>All zip files should unzipped into a parent folder called /data inside the Github repository above.</p><p><strong>Important:</strong> Due to the Zenodo size limit, this dataset is split among 4 Zenodo uploads. This is upload <strong>4 out of 4</strong>. The other 3 uploads can be found at: </p><p>Upload 1/4: <a href="http://doi.org/10.5281/zenodo.10066993">http://doi.org/10.5281/zenodo.10066993</a> (https://zenodo.org/uploads/10066993)</p><p>Upload 2/4: <a href="http://doi.org/10.5281/zenodo.10069553">http://doi.org/10.5281/zenodo.10069553</a> (https://zenodo.org/uploads/10069553)</p><p>Upload 3/4: <a href="http://doi.org/10.5281/zenodo.10071726">http://doi.org/10.5281/zenodo.10071726</a> (https://zenodo.org/uploads/10071726)</p><p>For more information please contact: salvador.dura-bernal@downstate.edu </p>
Geochemical Data reported in the Monthly Reports "Bollettino di Sorveglianza CAMPI FLEGREI" Period 2022-2023
<p>Chemical compositions of BG fumarole from Solfatara Campi Flegrei (Pozzuoli, Southern Italy) included in the monthly reports named "Bollettino di Sorveglianza CAMPI FLEGREI" (https://www.ov.ingv.it/index.php/monitoraggio-e-infrastrutture/bollettini-tutti/bollett-mensili-cf), in the period 2022-2023.</p> <p>Data are reported as ratios of gas species (e.g CO2/H2O) and in concentrations expressed in micromoles per mole for carbon monoxide.</p>
Data from: Phenotypic antimicrobial resistance in Staphylococcus sp. and Enterococcus sp. isolated from surface water – a preliminary report
<p><span>Water as a vehicle of antimicrobial resistance (AMR) is a well-known phenomenon. Therefore, One Health inspired surveillance campaign to detect circulation of antimicrobial resistance through the ecosystem are very often based on investigation of water samples. Bacteria belonging to the genera <em>Staphylococcus</em> and <em>Enterococcus</em> are good models in One Health research because of their ubiquitous occurrence and effortless isolation techniques. In this study, we aimed to compare different types of water sources as potential spreaders of AMR staphylococci and enterococci in the ecosystem. For this reason, we took water samples from the Drava River and small waterholes in a forest area. We hypothesised that rivers could collect diverse bacteria and resistance from the catchment area, while forest waterholes gather bacterial contamination from the local wildlife, thus a less diverse resistant bacterial community characterise them. From 22 and 10 water samples, collected from waterholes and the Drava River active floodplain, we isolated 21 and 13 bacterial strains, respectively. The bacterial community of the river proved more diverse, while waterhole samples contained resistant bacteria to more antimicrobials. In waterhole samples, we detected two methicillin resistant coagulase negative Staphylococcus strains. The most conspicuous difference between the two habitats was the predominance of multidrug resistant <em>S. sciuri</em> in the forest waterholes. We could conclude that water could be a good indicator of AMR contamination of the ecosystem, and large-scale sampling could reveal the exact epidemiological role of different water habitats.</span></p>
JAMES technical report, scripts and data for "'Comparison of C3 photosynthetic responses to light and CO2 predicted by the leaf photosynthesis models of Farquhar et al. (1980) and Goudriaan et al. (1985)"
<p>Dear reader,</p> <p>In this repository you will find 7 MATLAB scripts and 3 Excel datasets. The script "A_curves_Figure2.m" calls the function scripts "FvCB_model_Figure2.m", "FvCB_model_Figure2_noTPU" and "G85_model_Figure2" to create Figure 2 of the JAMES publication. The script "G85_Rd_FigureS1" calls the function script "G85_model_FigureS1" to create Figure S1 of the Supporting Information. The script "r2_RMSE_Table2" calculates statistics displayed in Table 2 of the JAMES publication. The Excel worksheet "Table2.xlsx" contains the values in Table 2 of the JAMES publication for quick data copying. The Excel worksheets "FvCBparameters_fitted_withTPU.xlsx" and "FvCBparameters_fitted_noTPU.xlsx" contains fitted FvCB model parameter values that were obtained using the "fitaci" function from the plantecophys R package (Duursma, 2015). <br> <br> Kind regards,</p> <p>Kevin van Diepen </p>
Figure 2 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563
Figure 2 - Break-out group discussion at the 2nd Stakeholder Roundtable (Credit: Florian Wetzel)
Figure 5 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563
Figure 5 - Biodiversity observation - from observation to data usage
Figure 1 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563
Figure 1 - Totally recorded occurrences in 80 European CS data portals and publicly shared in GBIF.
FIGURE 3 in An analysis of fossil identification guides to improve data reporting in citizen science programs
FIGURE 3. The setup used to photograph bromalites for the identification guides.
FIGURE 2 in An analysis of fossil identification guides to improve data reporting in citizen science programs
FIGURE 2. Stratigraphic column of FMMS.
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.