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3,481 results for “data set”

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zenodo32/100

Data Sets for: Spiers Memorial Lecture: From Cold to Hot, The Structure and Structural Dynamics of Dense Ionic Fluids

<p>Data Sets for Section 2.1 of Article: Spiers Memorial Lecture: From Cold to Hot, The Structure and Structural Dynamics of Dense Ionic Fluids</p>

opencc-by-4.0Jun 2024View details →
zenodo32/100

Data set related to the manuscript entitled "Paleo-ocean and Evolution of Mars Revealed by Seismic Crustal Stratigraphy"

<p><strong>Detailed calculation results of rock physics modeling and other technical details for&nbsp;manuscript of</strong> <strong>&ldquo;Paleo-ocean and Evolution of Mars Revealed by Seismic Crustal Stratigraphy&rdquo;</strong></p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

A collection of public transport network data sets for 25 cities

<p>This&nbsp;dataset describes the public transport networks of 25&nbsp;cities across the world in multiple easy-to-use data formats. These data formats include&nbsp;network edge lists,&nbsp;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&nbsp;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.&nbsp;<br> <br> Cities included in this dataset version:&nbsp;Adelaide,&nbsp;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&nbsp;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&nbsp;of the data set (1.0 and 1.2), in this version (1.2)&nbsp;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&nbsp;to 03 AM on Tuesday (daily extract) or 03 AM of the Monday next week (weekly extract).&nbsp;Additionally, a temporal network extract&nbsp;covering a full&nbsp;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:&nbsp;http://doi.org/10.1038/sdata.2018.89&nbsp;<br> When using this dataset, please cite also the above-mentioned paper.</p>

openother-atJan 2018View details →
zenodo32/100

4G/LTE Channel Quality Reference Signal Traces Data Set

<p>Mobile networks, especially LTE networks are used more and more for high-bandwidth services like multimedia or video streams. The quality of the data connection plays a major role in the perceived quality of a service. Videos may be presented in a low quality or experience a lot of stalling events when the connection is to slow to buffer the next frames for playback. So far, no publicly available data set exists that has a larger number of LTE network traces and can be used for deeper analysis. In this data set, we provide 546 traces of 5 minutes each with a sample rate of 100 ms. Thereof 377 traces are pure LTE data. We furthermore provide an Android app to gather further traces as well as R scripts to clean, sort, and analyze the data.&nbsp;</p>

opencc-by-4.0Apr 2018View details →
zenodo32/100

Data set for "Analysis of the Ub to Ub-CR transition in ubiquitin"

<p>Data set for&nbsp;&quot;Analysis of the Ub to Ub-CR transition in ubiquitin&quot; containing the data bases for the wild type and the four mutants analysided, for use with PATHSAMPLE (http://www-wales.ch.cam.ac.uk/PATHSAMPLE.2.1.doc/PATHSAMPLE.html)</p>

opencc-by-4.0May 2018View details →
zenodo32/100

Predictors of depression, anxiety and stress indicators in a cohort of women with chronic pelvic pain data set

<p>Data set for submission of paper &#39;Predictors of depression, anxiety and stress indicators in a cohort of women with chronic pelvic pain&#39;</p>

opencc-by-4.0Jul 2018View details →
zenodo32/100

Predictors of depression, anxiety and stress indicators in a cohort of women with chronic pelvic pain - data set 2

<p>Data set for PPSA study - 2. A second data set was created for the PPSA study publication to isolate variables of interest to make the statistics manageable, due to the sheer number of variables in the initial data set&nbsp;</p>

opencc-by-4.0Jul 2018View details →
zenodo32/100

Log data generated by Protege in three settings: the laboratory, the tutorial and the remote study

<p>These are three dataset generated through the interaction of ontology engineers of different skills in different settings:</p> <ul> <li>lab.zip contains the log data of 16 participants who took part in a lab study.</li> <li>tutorial.zip contains the log data of 15 participants who took the Advanced OWL tutorial.</li> <li>remote.zip contains the log data of 7 participants who used Protege on their own.</li> </ul>

opencc-by-nc-4.0Jul 2018View details →
zenodo32/100

Random data sets TRNG evaluation

<p>Random data sets that were obtain in the evaluation of True Random Number Generators in scope of the HECTOR project. Sets were both obtained under stress and in normal operation. Results of statistical tests (AIS31) are included.</p>

opencc-by-4.0Jul 2018View details →
zenodo32/100

turketwh/Prx_3-merSVM_data: First release of Prx 3-mer SVM data set

<p>First release of Prx 3-mer SVM data set to accompany manuscript submissions.</p>

openother-openAug 2018View details →
zenodo32/100

CWD3 systematic review data set used in Bardella (2016)'s PhD research

<p><a href="http://gvcm.ipen.br/cwd3/">CWD3</a> is a dynamic infographic platform built using the <a href="https://d3js.org/">D3JS</a> library to support systematic review analysis of crystallographic software used in&nbsp;<a href="http://www.teses.usp.br/teses/disponiveis/85/85134/tde-14102016-141711/en.php">Bardella (2016)&#39;s PhD research</a>.</p> <p>As proposed by the author, initial software list was obtained from&nbsp;<a href="https://www.iucr.org/resources/other-directories/software">IUCR&rsquo;s software database</a>.&nbsp; Research&#39;s evaluation criteria and&nbsp; protocol is detailed in&nbsp;<a href="http://www.teses.usp.br/teses/disponiveis/85/85134/tde-14102016-141711/en.php">Bardella (2016)</a>.&nbsp; This file is a record of the data set used in the research.</p> <p>&nbsp;</p>

opencc-by-nc-nd-4.0Apr 2016View details →
zenodo32/100

Teaching Data Set for Reproducible Research

<p>I use this data set in teaching settings.</p>

opencc-by-sa-4.0Sep 2018View details →
zenodo32/100

Compound data sets for support vector machine and regression modeling

<p>Provided are compound data sets used for support vector machine and support vector regression modeling and associated information.</p>

opencc-by-4.0Oct 2018View details →
zenodo32/100

Data sets for Color Word Associates Memory and RT Data

<p>Incidental memory and RT data a&nbsp;study examining congruency effects for color word associates (e.g., <em>ocean</em>). In the experiment, subjects&nbsp;incidentally recalled color word associates (e.g., <em>ocean</em>) and neutral words (e.g., <em>lawyer</em>) immediately after naming their font color (Experiment 1a) or reading them aloud (Experiment 1b). In both tasks, recall was better for congruent color word associates (e.g., <em>ocean </em>appearing in blue) than incongruent color word associates (e.g., <em>ocean </em>appearing in green) or neutral items (<em>lawyer </em>appearing in blue). This outcome is consistent with an embodied approach such that co-activation of a semantic color code and a lexical representation strengthens the episodic memory representation and makes it more accessible.</p>

opencc-by-4.0Oct 2018View details →
zenodo32/100

Complete set of data and script for the Kallisto/Sleuth & CLC analysis comparison

<p>Complete set of files that underlies the final report for the Kallisto/Sleuth and CLC analysis comparison.</p>

opencc-by-4.0Nov 2018View details →
zenodo32/100

PROPTI - An Generalised Inverse Modelling Framework - Data Set

<p><strong>Contents</strong></p> <p>Data set supplementary to the conference paper &quot;<a href="https://www.researchgate.net/publication/328933654_PROPTI_-_A_Generalised_Inverse_Modelling_Framework">PROPTI - A Generalised Inverse Modelling Framework</a>&quot;, presented at the <em>3rd European Symposium on Fire Safety Science</em>, ESFSS 2018 in Nancy, France.</p> <p>&nbsp;</p> <p><strong>Technical Information</strong></p> <p>Each ZIP archive represents a sub-directory of the original directory. For the analysis script to work properly out of the box it is necessary to keep this structure. Thus, simply extract all archives into the same directory.</p> <p>Note: Size on disc, after extraction, is about 260 MB.</p>

opencc-by-4.0Jan 2019View details →
zenodo32/100

Aggregated Spatial Data by province GPKG Format | Biodiversity Publication Bias Compromises Setting Conservation Priorities

<p>Result of running&nbsp;https://github.com/raffael-hickisch/provincer</p>

opencc-by-4.0Sep 2017View details →
zenodo32/100

Data set for: Crustal Azimuthal Anisotropy Beneath the Southeastern Tibetan Plateau and its Geodynamic Implications

<p>Abstract of the original paper:</p> <p>Zheng, T., Ding, Z., Ning, J., Chang, L., Wang, X., Kong, F., Liu, K.H., &amp; Gao, S.S. (2018).<br> Crustal azimuthal anisotropy beneath the southeastern Tibetan Plateau and its geodynamic implications.<br> <em><strong>Journal of Geophysical Research: Solid Earth, 123(11)</strong>, 9733-9749. </em> <a href="https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2018JB015995"> https://doi.org/10.1029/2018JB015995</a></p> <p>The fast orientation and magnitude of crustal azimuthal anisotropy beneath the southeastern Tibetan Plateau and adjacent areas are measured by analyzing the sinusoidal moveout of the <em>P</em> to <em>S</em> converted phase from the Moho. Beneath the tectonically active plateau, the mean magnitude is 0.48&nbsp;&plusmn;&nbsp;0.13&nbsp;s, which is about twice as large as that observed in the stable Sichuan Basin (0.23&nbsp;&plusmn;&nbsp;0.10&nbsp;s). The two areas are separated by the Longmenshan fault zone, a zone of devastating earthquakes including the 12 May 2008 <em>M</em><sub><em>W</em></sub> 7.9 Wenchuan earthquake. Fault orthogonal fast orientations observed in the southern Longmenshan fault zone, where previous studies have revealed high crustal <em>V</em><sub><em>p</em></sub>/<em>V</em><sub><em>s</em></sub> and suggested the presence of mid‐lower crustal flow, may reflect flow‐induced lattice preferred orientation of anisotropic minerals. Fault parallel anisotropy in the central segment of the fault zone is most likely related to fluid filled fractures, and fault perpendicular extensional cracks are probably responsible for the observed anisotropy in the northern segment. The crustal anisotropy measurements, when combined with results from previous studies, suggest the existence of mid‐lower crustal flow beneath the southeastern margin of the plateau. Comparison of crustal anisotropy obtained before and after the Wenchuan earthquake suggests that the earthquake has limited influence on whole crustal anisotropy, although temporal changes of anisotropy associated with the earthquake have been reported using splitting of shear waves from local earthquakes occurred in the upper crust.</p>

opencc-by-4.0Dec 2018View details →
zenodo32/100

Properties of Stimulated Electromagnetic Emissions during Inclined HF Pumping of the Ionosphere near the 4th Electron Gyroharmonic at HAARP - data set

<p>Data set for the paper &quot;Electromagnetic Emissions during Inclined HF Pumping of the Ionosphere near the 4th Electron Gyroharmonic at HAARP&quot;</p>

openmit-licenseMar 2019View details →
zenodo32/100

HDNNP training data set for Cu2S

<p>High-dimensional neural network potential (HDNNP) training data set for copper sulfide (Cu<sub>2</sub>S). Unpack archive and see README.pdf for details.</p>

opencc-by-4.0Mar 2019View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record