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3,172 results for “Publications”
Data covering European public procurement in Spain (2018)
<p>This dataframe provides a subset of Tenders Electronic Daily (TED) data covering European public procurement in Spain in 2018, in comma separated value format. This data includes the most important fields, as the contract notice and the contract award. Additionally, the NUTS3 code has been updated, as it was missing in the original dataset, providing geo-localitzation information. </p>
Analysis of the model of integration of multicultural media in the network's space of public opinion
<p>Supplementary data of the manuscript published on Transinformação, which title is Analysis of the model of integration of multicultural media in the network’s space of public opinion.</p>
Raw datasets for publication: The new Mountain Observatory of the Project "Optimizing Cloud Seeding by Advanced Remote Sensing and Land Cover Modification (OCAL)" in the United Arab Emirates: First results on Convection Initiation" - Case studies only (5 and 6 Sept 2018)
<p>Here are zip files containing the raw data sets collected from the Halo Doppler lidar and the Mira Doppler cloud radar from the OCAL Observatory, UAE, on the 5th and 6th September 2018. All RHI and PPI scans at all angles and all time steps from these days are included.</p>
Data and R script for publication: The LOKI underwater imaging system and an automatic identification model for the detection of zooplankton taxa in the Arctic Ocean
<p>This is a www.zenodo.org data and R script upload for publication:</p> <p> </p> <p>Schmid, M.S. et al., The LOKI underwater imaging system and an automatic identification model for the detection of zooplankton taxa in the Arctic Ocean. Methods in Oceanography (2016), http://dx.doi.org/10.1016/j.mio.2016.03.003</p> <p> </p> <p>Downloadable script: Script_Schmid_Mio_2016_data_upload.R</p> <p>Downloadable data: Schmid_2016_MIO_CGlac.csv</p>
The ULS23 Challenge Public Training Dataset Part 5
<p>This dataset contains part of the imaging data for the <a href="https://uls23.grand-challenge.org/">Universal Lesion Segmentation Challenge (ULS23).</a> It contains lesion volumes-of-interest (VOI's) for part of the weakly annotated DeepLesion data. The annotations are made available through the <a href="https://github.com/MJJdG/ULS23">Challenge repository on GitHub</a>.<br><br>The Universal Lesion Segmentation 2023 (ULS23) data is licensed under CC BY-NC-SA 4.0 </p>
The ULS23 Challenge Public Training Dataset Part 2
<p>This dataset contains part of the imaging data for the <a href="https://uls23.grand-challenge.org/">Universal Lesion Segmentation Challenge (ULS23).</a> It contains lesion volumes-of-interest (VOI's) for previously released data. It consists of 333 kidney lesions from the KiTS21 dataset, 2.246 lung lesion from LIDC-IDRI and 888 liver lesions from the LiTS challenge. The annotations are made available through the <a href="https://github.com/MJJdG/ULS23">Challenge repository on GitHub</a>.<br><br>The Universal Lesion Segmentation 2023 (ULS23) data is licensed under CC BY-NC-SA 4.0 </p>
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>
Data and code for the publication "Evaluating the effectiveness of the MicroPlastic Sediment Separator (MPSS)"
<p><strong>Authors</strong></p><p>Prume, Julia A.; Laermanns, Hannes; Löder, Martin G. J.; Laforsch, Christian; Bogner, Christina; Koch, Martin</p><p> </p><p><strong>Background</strong></p><p>The data set contains all data analysed in the paper with the title "Evaluating the effectiveness of the MicroPlastic Sediment Separator (MPSS)", published in the journal <i>Microplastics & Nanoplastics</i> (https://doi.org/10.1186/s43591-023-00073-3).</p><p> </p><p><strong>Description</strong></p><p>The spreadsheet <i>MPSS_data.xlsx</i> contains all data analysed in this work, organised in 11 sheets.</p><p>The R notebook <i>2023-11-09_MPSS_data_analysis.Rmd</i> contains the code to read, process, analyse, and plot the data for both the main text and the Supplementary Information.</p><p>The zipped folder <i>Figures</i> contains all plots for the main text and the Supplementary Information.</p><p>The file <i>EXTRACT_2023-06-05_Q9-Blank-2-1000.0_000001.0.dpt</i> contains data for the spectrum plotted in Supplementary Figure S1, the file <i>EXTRACT_2023-05-12-MPSS-Testpartikel.0_000000.0.dpt</i> contains data for the spectrum plotted in Supplementary Figure S17.</p><p> </p><p><strong>Disclaimer</strong></p><p>The data and code are provided as is without any warranty.</p><p> </p><p><strong>Funding</strong></p><p>J.A.P. gratefully acknowledges the support of the German Federal Ministry for Education and Research (BMBF) for the Citizen Lab for Microplastics (project 01BF1705) and the Hessian Ministry of Higher Education, Research and the Arts (HMWK) for the project Entwicklung eines Modells zur Simulation von Stoffströmen im Bereich Mikroplastik, LOEWE-Exploration. H.L., M.G.J.L., C.L., and C.B. acknowledge the funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Project Number 391977956 SFB 1357. Open access funding provided by the Open Access Publishing Fund of Philipps-Universität Marburg with support of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation).</p>
CHALLENGES IN COUNTERING AND PREVENTING SOCIAL MEDIA CALLS FOR MASS PUBLIC SAFETY VIOLATIONS
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Scripts for the publication "HONO production via the heterogeneous reaction between NO2 and diesel soot: role of environmentally persistent free radicals"
<p>Access only for reviewers until manuscript acceptance.</p>
Dataset and code for the publication "From Unstructured Product Descriptions to Structured Data for Industry 4.0 with ChatGPT"
<p>This is the code as well as the dataset for our publication "From Unstructured Product Descriptions to Structured Data for Industry 4.0 with ChatGPT".</p><p>Please see the README.md for more information.</p>
Dataset Building and Public Works compagnies and assessment of Corporate Social Responsibility 2021 Tshopo_DRCongo
<p><br>The data resulting from the assessment of attitudes and policies of construction companies in Kisangani is now available in a dedicated space. During the surveys conducted in August and September 2021, we used structured questionnaires focused on five key points.</p><p>These questionnaires allowed for the collection of qualitative and quantitative data, covering the identification of the company and the respondent, the presence of corporate social responsibility (CSR) policies, the existence of legal wood procurement policies, and the companies' perspectives on actions in this crucial area.</p><p>To facilitate data collection, we opted for digitalization through the Kobotoolbox application, effectively deployed on Android phones. The in-depth analysis of the data was then carried out using Excel 2016, based on the list of members of the Association of National Entrepreneurs of the Oriental Province (ASSENAPO) dated October 4, 2017.</p><p>Our survey covered all 51 listed construction structures, with 42 representatives of construction companies interviewed after discussions and based on their availability. Thus, our study provides a comprehensive perspective on the attitudes and policies of companies operating on the scale of the city of Kisangani.</p>
Public support for asylum and labor migration policies in Germany
<p>Randomized controlled experiment on public support for asylum and labor migration policies in Germany, embedded in a German representative survey in 2019.</p>
Public debt and economic growth in Spain, 1851–2013
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Testing explosive bubbles with time-varying volatility: The case of Spanish public debt
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Dataset for publication Eslam El-Seidy, Matteo Sambucci, Mehdi Chougan, Yazeed A. AI-Noaimat, Mazen J. Al-Kheetan, Ilario Biblioteca, Marco Valente, Seyed Hamidreza Ghaffar. (2023). Alkali activated materials with recycled unplasticised polyvinyl chloride aggregates for sand replacement, Construction & Building Materials, doi: https://doi.org/10.1016/j.conbuildmat.2023.134188
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Dataset for publication Eslam El-Seidy, Mehdi Chougan, Matteo Sambucci, Mazen J. Al-Kheetan, Marco Valente, Seyed Hamidreza Ghaffar. (2023). Lightweight alkali-activated materials and ordinary Portland cement composites using recycled polyvinyl chloride and waste glass aggregates to fully replace natural sand. Construction & Building Materials, doi: https://doi.org/10.1016/j.conbuildmat.2023.130399
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Dataset for publication 7. Eslam El-Seidy, Mehdi Chougan, Yazeed A. AI-Noaimat, Mazen J. Al-Kheetan, Seyed Hamidreza Ghaffar. (2024). The impact of waste brick and geo-cement aggregates as sand replacement on the mechanical and durability properties of alkali–activated mortar composites, Results in Engineering, doi: https://doi.org/10.1016/j.rineng.2024.101797
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urbisphere_gb-london_UR-3: Transport database derived from UK road networks, OSM, and TfL public transport timetables, for modelling in London, UK
<h2><strong>Files included in this archive</strong></h2> <p><strong>Documentation</strong></p> <ul> <li> urbisphere_London_transport_database.pdf</li> </ul> <p><strong>JSON Database files</strong> (JSON: <a href="https://www.loc.gov/preservation/digital/formats/fdd/fdd000381.shtml">https://www.loc.gov/preservation/digital/formats/fdd/fdd000381.shtml</a> (<em>last accessed: 30/3/2024</em>))</p> <ul> <li>driving_transport.json <ul> <li>Database of driving routes</li> </ul> </li> <li>cycling_transport.json <ul> <li>Database of cycling routes</li> </ul> </li> <li>walking_transport.json <ul> <li>Database of walking routes</li> </ul> </li> <li>public_transport.json <ul> <li>Database of public transport routes</li> </ul> </li> </ul> <p><strong>Python 3.9 Code</strong></p> <ul> <li>London_travel_dictionaries.py <ul> <li>to create databases</li> </ul> </li> <li>assign_speed_limits.py <ul> <li> to assign OSM speed limits to each road in GLA</li> </ul> </li> <li>reduce_sub_services.py <ul> <li> to group transport routes within the TfL timetables</li> </ul> </li> </ul> <h2>Data purpose</h2> <p>This dataset contains transport routes for walking, driving, cycling, and public transport (train, tube, and bus) within the Greater London (GLA), which can be used for simulations of human behaviour and movement, for example using agent-based models (e.g. Capel-Timms et al. 2021, McGrory et al. 2024b).</p> <h3><em>Associated publications</em></h3> <ul> <li>Hertwig et al. 2024b: urbisphere_presentations_UR-1: Modelling anthropogenic heat emissions from residential buildings-comparison between Berlin and London. EMS Annual Meeting 2023 [Poster]. Zenodo. https://doi.org/10.5281/zenodo.10889863</li> <li>Hertwig et al. 2024c: urbisphere_gb-london_UR-7: Gridded total road lengths by type for London, UK. urbisphere–London Data Release and Technical Documentation [Dataset].. Zenodo. https://doi.org/10.5281/zenodo.10889841</li> <li>McGrory et al. 2024a: urbisphere_presentations_UR-3: Dynamic Anthropogenic actiVities and feedback to Emissions (DAVE): An agent-based model for heat and exposure to other anthropogenic emissions. EMS Annual Meeting 2023 [Presentation].. Zenodo. https://doi.org/10.5281/zenodo.10889900</li> </ul> <div> <div> </div> <div> <p> </p> </div> </div>
Vocabulary linked data publication and mapping
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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.