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253 results for “data publishing”
Figure 5 from: Petersen M, Hoffmann J, Glöckler F (2019) Access to Geosciences – Ways and Means to share and publish collection data. Research Ideas and Outcomes 5: e32987. https://doi.org/10.3897/rio.5.e32987
Figure 5 Elements identified by workshop and survey participants as being important for the publication of geoscientific collection objects. The four different object classes (fossils, rocks, meteorites, and minerals) are highlighted in different shades of green, terms important for the respective class are assigned around the object name and likewise colored, terms in the center (grey) are relevant for all four object classes. Note: The figure only summarizes the mentioned terms, there might be more properties that are important for the publication of collection object associated data for the different object classes and / or more terms mentioned for one class only but important for several.
Figure 4 from: Petersen M, Hoffmann J, Glöckler F (2019) Access to Geosciences – Ways and Means to share and publish collection data. Research Ideas and Outcomes 5: e32987. https://doi.org/10.3897/rio.5.e32987
Figure 4 Awareness and usage of Geoscientific Collection Access Service (GeoCASe). Shown is the frequency of answers regarding the awareness of GeoCASe (a), the data provision through the GeoCASe portal (b), the readiness to support the progress of improvements (c), and the interest of being part of the GeoCASe community (d).
Supplementary material 1 from: Petersen M, Hoffmann J, Glöckler F (2019) Access to Geosciences – Ways and Means to share and publish collection data. Research Ideas and Outcomes 5: e32987. https://doi.org/10.3897/rio.5.e32987
Sheet on the survey on geoscientific collection data
Figure 3 from: Petersen M, Hoffmann J, Glöckler F (2019) Access to Geosciences – Ways and Means to share and publish collection data. Research Ideas and Outcomes 5: e32987. https://doi.org/10.3897/rio.5.e32987
Figure 3 Reasons for publication of (meta)data on geoscientific collection objects (a) and not publishing particular datasets through a data portal (b). Shown is the frequency of answers per reason. Note that the y-axes are scaled differently.
Figure 2 from: Petersen M, Hoffmann J, Glöckler F (2019) Access to Geosciences – Ways and Means to share and publish collection data. Research Ideas and Outcomes 5: e32987. https://doi.org/10.3897/rio.5.e32987
Figure 2 Estimated value of cross-institutional search possibilities through data portals on geoscientific object (meta)data for different target groups. Shown is the frequency of answers for different scopes and their respective importance (see legend).
Sample-specific data from "The Influence of Seasonal Variation in Wild Pig Diet on Impacts to a Subtropical Agroecosystem" published in Ecosphere
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PKPD data from Pfizer published paper
<p>Pfizer published paper with supplementary material with compound dataset of PKPD values </p>
Data of the article "Predicting the 2023/24 El Niño from a multi-scale and global perspective" that published in Communications Earth & Environment
<p>MATLAB data of the article "Predicting the 2023/24 El Niño from a multi-scale and global perspective" that published in Communications Earth & Environment.</p> <p>The article is available on the Communications Earth & Environment at <a title="Predicting the 2023/24 El Niño from a multi-scale and global perspective" href="https://www.nature.com/articles/s43247-024-01867-w">https://www.nature.com/articles/s43247-024-01867-w</a>.</p> <p>These data include ocean temperature, current, atmosphere wind, pressure, precipitation, heat flux, and more, that from reanalysis data and coupled model outputs. Additionaly, there are four figures of the article.</p> <p>The related MATLAB codes can be accessed from <a href="https://github.com/HRKsince1993/COMMSENV-24-1347.git">https://github.com/HRKsince1993/COMMSENV-24-1347.git</a></p> <p>If these data are helpful to you, please cite our article or acknowledge us in your publication, e. g.</p> <p>Hu, R. <em>et al.</em> Predicting the 2023/24 El Niño from a multi-scale and global perspective. <em>Commun. Earth Environ.</em> <strong>5</strong>, 675 (2024). </p> <p>If you have any questions, please contact Tao Lian (<a href="mailto:liantao@sio.org.cn">liantao@sio.org.cn</a>) and/or Dake Chen (<a href="mailto:dchen@sio.org.cn">dchen@sio.org.cn</a>) and/or me.</p> <p> </p> <p>Best wishes</p> <p>Ruikun Hu</p> <p>Ph.D of physical oceanography</p> <p>State Key Laboratory of Satellite Ocean Environment Dynamics,</p> <p>Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China</p> <p><a href="mailto:ruikunhu@sio.org.cn">ruikunhu@sio.org.cn</a></p> <p>October 18, 2024</p> <p>Updated on November 8, 2024</p>
Data from: Do urology journals enforce trial registration? A cross-sectional study of published trials
OBJECTIVES: Trial registration can increase scientific transparency, but its implementation in specialty fields such as urology is unclear. We aimed to assess the endorsement of trial registration in the author instructions of urology-related journals and to assess whether randomized controlled trials (RCTs) in the field were effectively registered. DESIGN: Cross-sectional study of published trials. SETTING: We first assessed the author instructions of urology-related journals indexed in 'Journal Citation Reports 2009' (12/2010). Second, we divided the results into two groups of five journals each, all with high impact factors either requiring or not mentioning trial registration as a precondition for publication. We then performed a MEDLINE search to identify RCTs published in these 10 journals in 2009 (01/2011) and searched the clinical trials meta-search interface of the World Health Organization (ICTRP) for RCTs without information about registration (01–03/2011). Two authors independently assessed information regarding editorial advice about trial registration and identified the RCTs. RESULTS: Of 55 journals included, 26 (47.3%) contained some editorial advice about trial registration. Journals with high impact factors were more likely to mention trial registration directly (p=0.015). Of 106 RCTs published in 2009, 63 were registered (59.4%) with a tendency to an increase after 2005 (83.3%, p=0.035). 71.4% (30/42) of the RCTs that were published in journals mentioning and requiring registration, and 51.6% (33/64) of the RCTs that were published in journals that did not mention trial registration directly were registered. This difference was statistically significant (p=0.04). CONCLUSION: A statement of trial registration in author instructions resulted in a higher proportion of registered RCTs. Journals with high impact factors were more likely to mention trial registration. We suggest, though, that ensuring trial registration is not the responsibility only of the editors. Medical scientists should realize that trial registration is necessary to contribute to transparency in research.
Figure 1 from: Kress W, Knapp S, Stoev P, Penev L (2012) On the front line of modern data-management and Open Access publishing: Two years of PhytoKeys – the fastest growing journal in plant systematics. PhytoKeys 19: 1-8. https://doi.org/10.3897/phytokeys.19.4501
Figure 1 - Total number of submitted manuscripts, published articles and pages per year in PhyltoKeys.
Data and R Code from "PAT-GEOM: A Software Package for the Analysis of Animal Patterns" (published in Methods in Ecology and Evolution)
<p>Datasets for Figures 2 and 4 in the article "PAT-GEOM: A Software Package for the Analysis of Animal Patterns" (published in Methods in Ecology and Evolution) and the R code used to perform the analysis described in the article.</p>
Data Mentah Pencarian Berdasarkan Kata Kunci: kapsul video media pengajaran pembelajaran Menggunakan Aplikasi Harzing's Publish or Perish
<p>Berikut ini adalah merupakan data mentah hasil pencarian berdasarkan kata kunci: <em>kapsul video media pengajaran pembelajaran </em>dengan menggunakan aplikasi Harzing’s Publish or Perish.</p>
Meta-data of published work titled 'Effect of selection bias on Automatic Colonoscopy Polyp Detection'
<p>Meta-data of published work titled 'Effect of selection bias on Automatic Colonoscopy Polyp Detection' includes:</p> <p>1. Gastrolab-Polyp test dataset </p> <p>2. App release of the developed real-time polyp detector </p> <p>3. Meta-data prepared during test set analysis of the developed app and Polyp detector app on Google Store for five existing datasets like Polypgen, Kvasir, and CVC-Clinic, etc. </p> <p>For more details : https://www.sciencedirect.com/science/article/abs/pii/S1746809423003488</p> <p> </p>
Data for article entitled 'Anti-hiatus tendencies in Spanish: Rate of occurrence and phonetic identification'', published in Linguistics
<p>see the article</p>
Data for "Exploring the influences of cybernetic and dynamic controls on flexibility and performance" published by BAR - Brazilian Administration Review
<p>Appendices </p>
Data for article entitled 'Prediction in SVO and SOV languages: Processing and typological considerations', published in Linguistics
<p>see the publication for the description of the data and analysis</p>
Data from: Beyond the print - virtual paleontology in science publishing, outreach and education
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Data from: Do urology journals enforce trial registration? A cross-sectional study of published trials
Open the record for dataset details and reuse information.
Data from: Quality of descriptions of treatments: a review of published randomised controlled trials
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Gene expression studies of WT1 mutant Wilms tumor cell lines in the frame work of published kidney development data reveals their early kidney stem cell origin
GEO Series GSE220082. Homo sapiens. 34 samples. Type: Expression profiling by array; Third-party reanalysis.
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.