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9 results for “CC-BY”
Credit for software creators: An adapted illustration from The Turing Way: Shared under CC-BY 4.0 for reuse
<p>Illustration adapted from <strong>The Turing Way Community, & Scriberia. (2023). Illustrations from The Turing Way: Shared under CC-BY 4.0 for reuse. Zenodo. <a href="https://doi.org/10.5281/zenodo.8169292">https://doi.org/10.5281/zenodo.8169292</a></strong>.</p> <p>The illustration has been adapted by Stephan Druskat (subsumed as co-author in <em>The Turing Way Community</em>):</p> <ul> <li>The speech bubble has been changed to read "More credit" instead of "More credit<strong>s</strong>". (One character removed and alignment adapted.)</li> <li>The inscription on the purse has been changed to read "Credit" instead of "Credit<strong>s</strong>". (One character removed and alignment adapted.)</li> </ul>
Crowdsourced air traffic data from The OpenSky Network 2020 [CC-BY]
<p><strong>WARNING! </strong>This dataset is no longer updated after January 2022. Refer to the <a href="https://doi.org/10.5281/zenodo.3737101">original dataset</a> with different license terms for an up to date version.</p> <p><strong>Motivation</strong></p> <p>The data in this dataset is derived and cleaned from the full OpenSky dataset to illustrate the development of air traffic during the COVID-19 pandemic. It spans all flights seen by the network's more than 2500 members since 1 January 2019. More data will be periodically included in the dataset until the end of the COVID-19 pandemic.</p> <p><strong>License</strong></p> <p>Creative Commons CC-BY</p> <p>The only difference with the <a href="https://doi.org/10.5281/zenodo.3737101">original dataset</a> comes from anonymised aircraft information.</p> <p><strong>WARNING:</strong>This dataset is now longer updated after January 2022. The original dataset is still updated.</p> <p><strong>Disclaimer</strong></p> <p>The data provided in the files is provided as is. Despite our best efforts at filtering out potential issues, some information could be erroneous.</p> <ul> <li>Origin and destination airports are computed online based on the ADS-B trajectories on approach/takeoff: no crosschecking with external sources of data has been conducted.<br> Fields <strong>origin</strong> or <strong>destination</strong> are empty when no airport could be found.</li> <li>Aircraft information come from the OpenSky aircraft database. Fields <strong>typecode</strong> and <strong>registration</strong> are empty when the aircraft is not present in the database.</li> </ul> <p><strong>Description of the dataset</strong></p> <p>One file per month is provided as a csv file with the following features:</p> <ul> <li><strong>callsign</strong>: the identifier of the flight displayed on ATC screens (usually the first three letters are reserved for an airline: AFR for Air France, DLH for Lufthansa, etc.)</li> <li><strong>number</strong>: the commercial number of the flight, when available (the matching with the callsign comes from public open API)</li> <li><strong>aircraft_uid</strong>: a unique anonymised identifier for aircraft;</li> <li><strong>typecode</strong>: the aircraft model type (when available);</li> <li><strong>origin</strong>: a four letter code for the origin airport of the flight (when available);</li> <li><strong>destination</strong>: a four letter code for the destination airport of the flight (when available);</li> <li><strong>firstseen</strong>: the UTC timestamp of the first message received by the OpenSky Network;</li> <li><strong>lastseen</strong>: the UTC timestamp of the last message received by the OpenSky Network;</li> <li><strong>day</strong>: the UTC day of the last message received by the OpenSky Network;</li> <li><strong>latitude_1</strong>, <strong>longitude_1</strong>, <strong>altitude_1</strong>: the first detected position of the aircraft;</li> <li><strong>latitude_2</strong>, <strong>longitude_2</strong>, <strong>altitude_2</strong>: the last detected position of the aircraft.</li> </ul> <p><strong>Examples</strong></p> <p>Possible visualisations and a more detailed description of the data are available at the following page:<br> <<a href="https://traffic-viz.github.io/scenarios/covid19.html">https://traffic-viz.github.io/scenarios/covid19.html</a>></p> <p><strong>Credit</strong></p> <p>Martin Strohmeier, Xavier Olive, Jannis Lübbe, Matthias Schäfer, and Vincent Lenders<br> <strong>"</strong>Crowdsourced air traffic data from the OpenSky Network 2019–2020<strong>"</strong><br> <em>Earth System Science Data</em> 13(2), 2021<br> <a href="https://doi.org/10.5194/essd-13-357-2021">https://doi.org/10.5194/essd-13-357-2021</a></p> <p> </p>
Illustrations from the Environmental Data Science Book: Shared under CC-BY 4.0 for reuse
<p>Illustrations as part of the <em>Environmental Data Science</em> book.</p> <p>When using any of the images, please include the following attribution with the specific DOI as listed on the particular Zenodo page:</p> <blockquote> <p>This illustration is created by Scriberia with The Turing Way community. Used under a CC-BY 4.0 licence. DOI: <a href="https://doi.org/10.5281/zenodo.7030142">10.5281/zenodo.7030142</a></p> </blockquote> <p>When using any of the images, please include the following attribution with the specific DOI as listed on the particular Zenodo page:</p> <p>You can cite all versions by using the DOI <a href="https://doi.org/10.5281/zenodo.7030142">10.5281/zenodo.7030142</a>. This DOI represents all versions, and will always resolve to the latest one.</p> <p><em>This work was supported by Wave 1 of The UKRI Strategic Priorities Fund under the EPSRC Grant EP/W006022/1, particularly the Environment & Sustainability theme within that grant & The Alan Turing Institute.</em></p>
WorldCereal open global harmonized reference data repository (CC-BY licensed data sets)
<p>Within the <strong>ESA funded </strong>WorldCereal project we have built an open harmonized reference data repository at global extent for model training or product validation in support of land cover and crop type mapping. Data from 2017 onwards were collected from many different sources and then harmonized, annotated and evaluated. These steps are explained in the harmonization protocol (10.5281/zenodo.7584463). This protocol also clarifies the naming convention of the shape files and the WorldCereal attributes (LC, CT, IRR, valtime and sampleID) that were added to the original data sets.</p> <p>This publication includes those harmonized data sets of which the original data set was published under the CC-BY license or a license similar to CC-BY. See document "_In-situ-data-World-Cereal - license - CC-BY.pdf" for an overview of the original data sets. </p>
Illustrations from the Research Engineering Group: Shared under CC-BY 4.0 for reuse
<p>Illustrations created by <a href="http://www.scriberia.co.uk/">Scriberia</a> as part of the Research Engineering Group (REG) illustration sprints in 2022. They depict a variety of content to describe how REG work and the team’s makeup. More information about the team can be found at <a href="https://www.turing.ac.uk/research/research-engineering">https://www.turing.ac.uk/research/research-engineering</a>.</p> <p>When using any of the images, please include the following attribution with the specific DOI:</p> <blockquote> <p><em>This illustration is created by Scriberia with the Research Engineering Group. Used under a CC-BY 4.0 licence. DOI: </em><a href="https://doi.org/10.5281/zenodo.7785796">10.5281/zenodo.7785796</a></p> </blockquote> <p>Please note that these images are shared here in the original format and size. Individual illustrations are provided as <strong>.jpg</strong> and <strong>.tif</strong> files.</p> <p>We encourage the use and re-use of these images as much as possible. This includes remixing the images, for example changing the colours, translating text, or merging them together with additional (openly licensed) images. If you'd like to change the colours of the image, for example to align with other elements of your presentation, Alex Chan has written a <a href="https://alexwlchan.net/2020/02/adjusting-the-dominant-colour-of-an-image/">guide for changing the dominant colour in an image</a> which we hope is helpful.</p> <p>If you create something that others may benefit from, we encourage you to contribute your image back to REG.</p>
Illustrations from The Turing Way: Shared under CC-BY 4.0 for reuse
<p>Illustrations created by <a href="http://www.scriberia.co.uk/">Scriberia</a> as part of the <em>Turing Way</em> book dashes and illustration sprints in 2019 (two events in person), 2020 (one event in-person and one online), 2021 (two online), 2022 (Turing-Crick partnership project hybrid sprint, two Book Dash online), 2023 (latest Hybrid Book Dash in May 2023), 2024 May/June. They depict a variety of content of the five guides in The Turing Way as well as data science and the community activities of <em>The Turing Way</em> in general. More information on the book dashes can be found at <a href="https://the-turing-way.netlify.app/community-handbook/bookdash.html">https://the-turing-way.netlify.app/community-handbook/bookdash.html</a>.</p> <p>When using any of the images, please include the following attribution with the specific DOI as listed on the particular Zenodo page:</p> <blockquote> <p><em>The Turing Way Community. This illustration is created by Scriberia with The Turing Way community, used under a CC-BY 4.0 licence. DOI: <a href="https://doi.org/10.5281/zenodo.3332807">10.5281/zenodo.3332807</a></em></p> </blockquote> <p>You can cite all versions by using the DOI <a href="https://doi.org/10.5281/zenodo.3332807">10.5281/zenodo.3332807</a>. This DOI represents all versions, and will always resolve to the latest one.</p> <p>Please note that these images are shared here in the original format and size. We use smaller files in The Turing Way guides that you can find in our GitHub repository: <a href="https://github.com/alan-turing-institute/the-turing-way/tree/main/book/website/figures">https://github.com/alan-turing-institute/the-turing-way/tree/main/book/website/figures</a>.</p> <p>Individual illustrations (in original size) are provided as <strong>.jpg</strong> files and zipped archives of the files (size <1 MB for each image) are given in <strong>.jpg</strong> and <strong>.pdf</strong> (named starting with <strong>zz- </strong>to keep them at the bottom of the list). All releases provide individual illustrations (outside the compressed files) in their original size - you can browse them using the link provided on this page.</p> <p>The most recent release has been made from the May 2023 Book Dash event with the following zipped archives:</p> <ul> <li>zz-Latest-TheTuringWay-Scriberia-2024-May-allJPG-English-text.zip <-- Latest JPG release</li> <li>zz-Latest-TheTuringWay-Scriberia-2024-May-allJPG-without-text.zip <-- Latest JPG release without any text (for reuse purposes)</li> <li>zz-Latest-TheTuringWay-Scriberia-2024-May-allPDF-English-text.zip <-- Latest PDF release</li> <li>zz-Latest-TheTuringWay-Scriberia-2024-May-allPDF-without-text.zip <-- Latest PDF release without any text (for reuse purposes)</li> </ul> <p>Images from the previous Book Dash from May 2019 - November 2022 are shared in the following zipped archives:</p> <ul> <li>zz-TheTuringWay-previous-Scriberia-2024-May-AllJPG-English-text.zip</li> <li>zz-TheTuringWay-previous-Scriberia-2024-May-AllPDF-English-text.zip</li> <li>zz-TheTuringWay-previous-Scriberia-2024-May-allJPGs-without-text.zip</li> <li>zz-TheTuringWay-previous-Scriberia-2024-May-allPDFs-without-text.zip</li> </ul> <p>Illustrations from the first two Book Dash have also released SVG files:</p> <ul> <li>zz-TheTuringWay-Scriberia-2019-20-SVG-where-available.zip.</li> </ul> <p><strong>Translating and editing for reusing Images: </strong>Zipped archives' names ending with '<strong>-without-text.zip</strong>' are provided for the latest release that can be translated into languages that you would like to use them in. We encourage the use and re-use of these images as much as possible. This includes remixing the images, for example changing the colours, translating text or merging them together with additional (openly licensed) images. If you create something that others may benefit from, we encourage you to contribute your image back to <em>The Turing Way. </em>Please contact the team members by emailing turingway@turing.ac.uk who can help you update this repository with the images you create.</p> <p>If you'd like to change the colours of the image to align with other elements of your presentation, <em>Turing Way</em> community member Alex Chan has written a <a href="https://alexwlchan.net/2020/02/adjusting-the-dominant-colour-of-an-image/">guide for changing the dominant colour in an image</a> which we hope is helpful.</p>
Crowdsourced air traffic data from The OpenSky Network 2020 [CC-BY]
<p><strong>Motivation</strong></p> <p>The data in this dataset is derived and cleaned from the full OpenSky dataset to illustrate the development of air traffic during the COVID-19 pandemic. It spans all flights seen by the network's more than 2500 members since 1 January 2020. More data will be periodically included in the dataset until the end of the COVID-19 pandemic.</p> <p><strong>License</strong></p> <p>Creative Commons CC-BY</p> <p>The only difference with the <a href="https://zenodo.org/record/3928550">original dataset</a> comes from anonymised aircraft information.</p> <p><strong>Disclaimer</strong></p> <p>The data provided in the files is provided as is. Despite our best efforts at filtering out potential issues, some information could be erroneous.</p> <ul> <li>Origin and destination airports are computed online based on the ADS-B trajectories on approach/takeoff: no crosschecking with external sources of data has been conducted.<br> Fields <strong>origin</strong> or <strong>destination</strong> are empty when no airport could be found.</li> <li>Aircraft information come from the OpenSky aircraft database. Fields <strong>typecode</strong> and <strong>registration</strong> are empty when the aircraft is not present in the database.</li> </ul> <p><strong>Description of the dataset</strong></p> <p>One file per month is provided as a csv file with the following features:</p> <ul> <li><strong>callsign</strong>: the identifier of the flight displayed on ATC screens (usually the first three letters are reserved for an airline: AFR for Air France, DLH for Lufthansa, etc.)</li> <li><strong>number</strong>: the commercial number of the flight, when available (the matching with the callsign comes from public open API)</li> <li><strong>aircraft_uid</strong>: a unique anonymised identifier for aircraft;</li> <li><strong>typecode</strong>: the aircraft model type (when available);</li> <li><strong>origin</strong>: a four letter code for the origin airport of the flight (when available);</li> <li><strong>destination</strong>: a four letter code for the destination airport of the flight (when available);</li> <li><strong>firstseen</strong>: the UTC timestamp of the first message received by the OpenSky Network;</li> <li><strong>lastseen</strong>: the UTC timestamp of the last message received by the OpenSky Network;</li> <li><strong>day</strong>: the UTC day of the last message received by the OpenSky Network;</li> <li><strong>latitude_1</strong>, <strong>longitude_1</strong>, <strong>altitude_1</strong>: the first detected position of the aircraft;</li> <li><strong>latitude_2</strong>, <strong>longitude_2</strong>, <strong>altitude_2</strong>: the last detected position of the aircraft.</li> </ul> <p><strong>Examples</strong></p> <p>Possible visualisations and a more detailed description of the data are available at the following page:<br> <<a href="https://traffic-viz.github.io/scenarios/covid19.html">https://traffic-viz.github.io/scenarios/covid19.html</a>></p> <p><strong>Credit</strong></p> <p>If you use this dataset, please cite the original OpenSky paper:</p> <p>Matthias Schäfer, Martin Strohmeier, Vincent Lenders, Ivan Martinovic and Matthias Wilhelm.<br> "Bringing Up OpenSky: A Large-scale ADS-B Sensor Network for Research".<br> In<em> Proceedings of the 13th IEEE/ACM International Symposium on Information Processing in Sensor Networks (IPSN)</em>, pages 83-94, April 2014.</p> <p>and the traffic library used to derive the data:</p> <p>Xavier Olive.<br> "traffic, a toolbox for processing and analysing air traffic data."<br> <em>Journal of Open Source Software</em> 4(39), July 2019.</p>
Analysis of internal pressure in 3D bent insulated glass units - experimental data (CC-BY)
<p>The experimental data have been collected within the research project “Analysis of internal pressure in 3D bent insulated glass units” (grant number 2021/05/X/ST8/00168) financed by The National Science Centre (NCN) within the MINIATURA 5 programme.</p>
Illustrations from The Turing Commons: Shared under CC-BY 4.0 for reuse
<p>Illustrations created by <a href="https://jonnylighthands.co.uk">Jonny Lighthands</a>(*) for the <a href="https://alan-turing-institute.github.io/turing-commons/">Turing Commons</a> project. The Turing Commons is an online platform to support open dialogue and reflection about the responsible design, development, and deployment of data-driven technologies.</p> <p> </p> <p>(*) Three illustration (citizen-engagement, diagnosis, and smart-planning) were created by <a href="https://www.eleonoreguerra.com/">Eleonore Guerra</a></p>
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.