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794 results for “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).
Dataset for "Phonon thermal Hall effect in Y2Ti2O7" published in PRB 110, L100301 (2024), Editors' Suggestion
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FIGURE 6 in names published by Roberto de Visiani and Josif Pančić in Plantae Serbicae Rariores aut Novae-Decas I
FIGURE 6. Epitype of Goniolimon serbicum Visiani in Visiani & Pančić (1862).
FIGURE 5 in names published by Roberto de Visiani and Josif Pančić in Plantae Serbicae Rariores aut Novae-Decas I
FIGURE 5. Lectotype of Goniolimon serbicum Visiani in Visiani & Pančić (1862).
FIGURE 3 in names published by Roberto de Visiani and Josif Pančić in Plantae Serbicae Rariores aut Novae-Decas I
FIGURE 3. Lectotype of Potentilla visianii Pančić (1865).
FIGURE 1 in Lectotype designation for three North African names of Biscutella (Brassicaceae) published by Claude Thomas Alexis Jordan
FIGURE 1. Lectotype of Biscutella choulettei Jordan (LY-0003809). Reproduced with permission.
FIGURE 5 in Typification and taxonomical notes on the names published by Roberto de Visiani and Josif Pančić in Plantae Serbicae Rariores aut Novae-Decas II
FIGURE 5. Lectotype of Centaurea myriotoma Vis. & Pančić.
FIGURE 8 in Typification and taxonomical notes on the names published by Roberto de Visiani and Josif Pančić in Plantae Serbicae Rariores aut Novae-Decas II
FIGURE 8. Lectotype of Euphorbia glabriflora Vis.
FIGURE 6 in Typification and taxonomical notes on the names published by Roberto de Visiani and Josif Pančić in Plantae Serbicae Rariores aut Novae-Decas II
FIGURE 6. Lectotype of Centaurea derventana Vis. & Pančić (specimen on the right).
FIGURE 4 in Typification and taxonomical notes on the names published by Roberto de Visiani and Josif Pančić in Plantae Serbicae Rariores aut Novae-Decas II
FIGURE 4. Lectotype of Hieracium marmoreum Vis. & Pančić (specimen on the right).
FIGURE 3 in Typification and taxonomical notes on the names published by Roberto de Visiani and Josif Pančić in Plantae Serbicae Rariores aut Novae-Decas II
FIGURE 3. Lectotype of Scabiosa fumarioides Vis. & Pančić and S. fumariifolia Pančić.
FIGURE 1 in Typification and taxonomical notes on the names published by Roberto de Visiani and Josif Pančić in Plantae Serbicae Rariores aut Novae-Decas II
FIGURE 1. Lectotype of Heliosperma monachorum Vis. & Pančić.
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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Poster_Open_Access_publishing_status_at_TUe
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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>
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.