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3,172
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3,172 results for “public”
Raw EEG Data Publication "Embodying the camera"
<p>Raw data files of 16 subjects recorded during experiment as described in article: Heimann, K., Uithol, S., Calbi, M., Umiltà, M.A., Guerra, M., Fingerhut, J., Gallese, V. (submitted to PLOSONE) <strong>Embodying the camera: an EEG study on the effect of camera movements on film spectators´ sensory-motor cortex activation". </strong></p> <p>event trigger value for start of videos = stim, indices for still, zoom and steady condition in 9.xls file (1=still, 2=zoom, 3=steady)</p> <p>event trigger value for slide announcing action execution =ceck (response = resp)</p> <p>Data of further analysis steps available at request to katrinheimann@cas.au.dk</p> <p> </p> <p> </p>
A collection of public transport network data sets for 25 cities
<p>This dataset describes the public transport networks of 25 cities across the world in multiple easy-to-use data formats. These data formats include network edge lists, temporal network event lists, SQLite databases, GeoJSON files, and General Transit Feed Specification (GTFS) compatible ZIP-files.<br> <br> The source data for creating these networks has been published by public transport agencies according to the GTFS data format. To produce the network data extracts for each city, the original data have been curated for errors, filtered spatially and temporally and augmented with walking distances between public transport stops using data from OpenStreetMap. <br> <br> Cities included in this dataset version: Adelaide, Belfast, Berlin, Bordeaux, Brisbane, Canberra, Detroit, Dublin, Grenoble, Helsinki, Kuopio, Lisbon, Luxembourg, Melbourne, Nantes, Palermo, Paris, Prague, Rennes, Rome, Sydney, Toulouse, Turku, Venice, and Winnipeg.</p> <p>Contrary to the version 1.0 of this data set, this version (1.2) does not include the cities of Antofagasta and Athens, for which non-commercial usage of the data is not allowed.<br> <br> Contrary to previous versions of the data set (1.0 and 1.2), in this version (1.2) the temporal filtering of the data has been slightly adapted, so that the daily and weekly data extracts cover all trips departing between from 03 AM on Monday to 03 AM on Tuesday (daily extract) or 03 AM of the Monday next week (weekly extract). Additionally, a temporal network extract covering a full week of operations has been added for each city.<br> <br> Documentation of the data can be found in the Data Descriptor article published in Scientific Data: http://doi.org/10.1038/sdata.2018.89 <br> When using this dataset, please cite also the above-mentioned paper.</p>
FIGURE 2. Third grade students from Adotiva Liberato Valentin Public Elementary School, responsible for thinking a in Bringing taxonomy to school kids: Aedokritus adotivae sp. n. from Amazon (Diptera: Chironomidae)
FIGURE 2. Third grade students from Adotiva Liberato Valentin Public Elementary School, responsible for thinking a name for the new species, announcing the winner name.
Data used in the publication "High Energy Emissions induced by air density fluctuations of discharges"
<p>This data was used to generate the Figures in the publication "High Energy Emissions induced by air density fluctuations of discharges".</p>
Dataset for Spence et al., "Patient consent to publication and data sharing in industry and NIH-funded clinical trials" (Trials 2018 19:269).
<p>Dataset for our journal publication (Spence et al. 2018 <a href="https://doi.org/10.1186/s13063-018-2651-2">https://doi.org/10.1186/s13063-018-2651-2</a>). This dataset contains</p> <ul> <li>Informed consent forms (ICFs) for 98 industry-funded clinical trials</li> <li>Informed consent forms (ICFs) for 46 NIH-funded clinical trials</li> <li>Our extraction datasheet</li> </ul>
Missing data of Patient F for Chaudhary et al 2017 PloS Biology Publication
<p>The folder contains the missing data set of patient F for Chaudhary et al 2017 PloS Biology Publication</p>
H.E.S.S. first public test data release
<p>The High Energy Stereoscopic System (H.E.S.S.) is an array of ground-based imaging atmospheric Cherenkov telescopes in Namibia. For the first time, the H.E.S.S. collaboration is releasing a small dataset of event lists and instrument response information. This is a test data release, with the motivation to support the ongoing efforts to define open high-level data models and associated formats, as well as open-source science tools for gamma-ray astronomy. The data are in FITS format. Open-source science tools that support this format exist already.</p> <p>The release data consists of 27.9 hours in total of observations of the Crab nebula, PKS 2155−304, MSH 15−52 and RX J1713.7−3946 taken with the H.E.S.S. 1 array. Most data are from 2004, the PKS 2155−304 data are from 2006 and 2008. In addition, 20.7 hours of off observations of empty fields of view are included. The targets and observations were chosen to be suitable for common analysis use cases, including point-like and extended sources for spectral and morphology measurements, as well as a variable source (PKS 2155−304) and the off dataset for background studies. The total size of the files in this data release is 42.8 MB.</p> <p>This is a very small subset of the thousands of hours of H.E.S.S. 1 observations taken since 2004. The quality of this dataset, and measurements derived from this data, does not reflect the state of the art for H.E.S.S. publications, e.g. the event reconstruction and gamma-hadron separation method used here is a very basic one.</p> <p>See <a href="https://www.mpi-hd.mpg.de/hfm/HESS/pages/dl3-dr1/">https://www.mpi-hd.mpg.de/hfm/HESS/pages/dl3-dr1/</a> for further information, including links how to analyse the data.</p>
Dataset of publication DOI:10.1021/acsomega.7b01354 (ACS Omega)
<p>This is the underlying data of the publication: "Favorable Biological Responses of Neural Cells and Tissue Interacting with Graphene Oxide Microfibers" (DOI: 10.1021/acsomega.7b01354).</p>
Dataset for publication: 'Search Space Representation and Reduction Methods to Enhance Multi-Objective Water Supply Monitoring Design'
<p>This is the dataset the publication "Search Space Representation and Reduction Methods to Enhance Multi-Objective Water Supply Monitoring Design" is based on.</p>
ICCB publication rates.
<p>Conservation Biology. Data and R code.</p>
Microscopy images and movies supporting the publication: "Tracking of single tRNAs for translation kinetics measurements in chloramphenicol treated bacteria"
<p>This repository contains microscopy movies and images supporting the publication: Volkov et al. (2019) Tracking of single tRNAs for translation kinetics measurements in chloramphenicol treated bacteria. <em>Methods, </em>DOI: 10.1016/j.ymeth.2019.02.004</p> <p>A detailed list of files and file organisation can be found in Repository_content.pdf.</p>
Aggregated Spatial Data by province GPKG Format | Biodiversity Publication Bias Compromises Setting Conservation Priorities
<p>Result of running https://github.com/raffael-hickisch/provincer</p>
Serena Whirlpool dataset PUBLIC
<p>Data set whirlpool use case anonymized for public </p>
Ethnic discrimination among public authorities: Field experimental data
<p>Data from a field experiment conducted to detect ethnic discrimination among public authorities in Sweden.</p>
Data sets for the Publication 'Analytical solution of gas flow in rough-walled micro-fracture at in-situ state' in Water Resources Research.
<p>Data sets for the Publication 'Analytical solution of gas flow in rough-walled micro-fracture at in-situ state' in Water Resources Research.</p>
Example StoX projects used in the publication "StoX - an open source software for marine survey analyses"
<p><strong>Datasets for the paper "StoX - an open source software for marine survey analyses"</strong></p> <p>Two example StoX projects provided as zip files, including input data and all user settings. These data were used to produce Figure 3 of the paper. The R-script used to produce the figure is included in the supporting information S5 of the paper:</p> <p>1. Example_Barents_Sea_cod_swept_area_survey_1999.zip</p> <p>2. Example_Nordic_Seas_herring_acoustic-trawl_survey_2016.zip</p> <p> </p>
FIGURE 1 in Spreadsheets to expedite taxonomic publications by automatic generation of morphological descriptions and specimen lists
FIGURE 1. Chart exemplifying the use of the three spreadsheets presented here. Inputs in red, outputs in green.
Research Libraries on a Mission: Engaging the Public
<p>Audio from <em>Session 8: Research Libraries on a Mission - Engaging the Public</em>, held Thursday 27 June 2019 at the LIBER 2019 Annual Conference.</p> <p>Talks included:</p> <ul> <li>8.1 <a href="https://doi.org/10.5281/zenodo.3259729">The Social Mission of 21st Century Research Libraries: Building Data Literate Communities</a>, Sheila Mary Corrall, University of Pittsburg, United States of America</li> <li>8.2 <a href="https://doi.org/10.5281/zenodo.3259733">Enriching Europeana: the Crowdsourcing Platform of the European Library</a>, Hui Ting Chung, Austrian National Library, Austria</li> <li>8.3 <a href="https://doi.org/10.5281/zenodo.3259741">#Protest: Info-Activism, Archive Literacy and Digital Learning</a>, Dr Barry Houlihan, NUI Galway, Ireland</li> <li>8.4 <a href="https://doi.org/10.5281/zenodo.3259743">Open Data for the Crowd: an Account of Citizen Science at the ETH Library</a>, Stefan Wiederkehr, ETH Zurich, Switzerland</li> <li>8.5 <a href="https://doi.org/10.5281/zenodo.3259751">Crowdsourcing at the Austrian National Library</a>, Paul David Sommersguter, Austrian National Library, Austria</li> </ul>
Public and Private in the Roman House: Maps of Casa del Tramezzo di Legno, Herculaneum III,11
<p>Data pertaining to the research conducted by Public and Private in the Roman House Project in Herculaneum.</p> <p>Maps of Casa del Tramezzo di Legno (CdTdL), Herculaneum III,11.</p> <p>Drawn by architect, Dr. Juhana Heikonen</p>
Publication analysis on MDD
<p>Supplementary material 1: original data of MDD publication, Supplementary material 2: python code for analysis.</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.