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3,481 results for “data set”
MLCQ: Industry-relevant code smell data set
<p>The MLCQ data set with nearly 15000 code samples was created by software developers with professional experience who reviewed industry-relevant, contemporary Java open source projects. </p> <p>We expect that this data set should stay relevant for a longer time than data sets that base on code released years ago and, additionally, will enable researchers to investigate the relationship between developers' background and code smells' perception.</p> <p><strong>If you use this data set please cite the following paper:</strong></p> <p>Lech Madeyski and Tomasz Lewowski. MLCQ: Industry-relevant code smell data set. In <em>Evaluation and Assessment in Software Engineering (EASE2020)</em>, April 15–17, 2020, Trondheim, Norway.ACM, New York, NY, USA, 6 pages, DOI: <a href="https://doi.org/10.1145/3383219.3383264">3383219.3383264</a> URL: https://doi.org/10.1145/3383219.3383264</p> <p>Note: Pre-print should be available soon from <a href="http://madeyski.e-informatyka.pl">http://madeyski.e-informatyka.pl</a></p>
Data set from Eriksson-Helmert, ICAPS 2020
<p>This data set contains the raw experiment data used in the ICAPS 2020 Paper "Certified Unsolvability for SAT Planning with Property Directed Reachability". It contains 3 directories, one for each of the certified version of planning algorithms "DFS-CL" "fast-downward" and "PDR".</p> <p>In each directory, there is an "*-eval" directory containing a json file called "properties" which summarizes all parsed results, as well as an html file presenting an overview of these results.</p> <p>Finally, the main directory contains a file "make_plots.py", which generates a tex file for each plot presented in the paper.</p>
Data Set from the Systematization of Vulnerability Discovery Metrics
<p>The data set contains vulnerability discovery metric data extracted from 26 primary studies identified as part of the systematic literature review conducted. The review was conducted as part achieving our overall research vision to <em>assist software engineers in building secure software by providing a technique that generates scientific, interpretable, and actionable feedback on security as the software evolves</em>.</p>
Data set for sub-millimetre MRI tissue class segmentation
<p>Sub-millimetre 7Tesla MRI image data set of the human brain for supervised training of algorithms to perform tissue class segmentation.</p> <p>The dataset contains preprocessed MRI images (co-registered + bias corrected) and corresponding ground truth labels.</p> <p>The dataset contains two different acquisitions:</p> <p>- MPRAGE dataset, based on 5 subjects, with T1w, PDw and T2w images</p> <p>- MP2RAGE dataset, based on 4 subjects, with inv1, inv2 and me gre images</p> <p> </p> <p>The following ground truth labels are provided:<br> [1] white matter<br> [2] grey matter<br> [3] cerebrospinal fluid<br> [4] ventricles<br> [5] subcortical<br> [6] vessels<br> [7] sagittal sinus</p> <p>Images are saved as nifti files and organized in BIDS format.</p> <p>This dataset is an extension of the following, initial dataset publication:</p> <p>* Dataset: A scalable method to improve gray matter segmentation at ultra high field MRI.</p> <p>The initial dataset is also available as a zenodo repository and can be downloaded from:<br> https://zenodo.org/record/1206163</p>
Data set: Resource footprints, quality of life and economic development
<p>This data set accompanies the publication "Towards a comprehensive framework of the relationships between resource footprints, quality of life and economic development" by Stefan Cibulka and Stefan Giljum from the Institute for Ecological Economics at the Vienna University of Economics and Business (WU).</p> <p>The file provides data on resource footprints (carbon footprint, material footprint), Human Development Index, Happiness Index as well as GDP for countries world-wide in the time span from 1990 to 2015. In addition, it provides all specifications of the regression analyses undertaken in the course of this study and the detailed regression results.</p>
FIGURE 30. Partial cladogram modified from Data Set 3 in Review of crayfish color patterns in the Family Cambaridae (Astacoidea), with discussion of their possible importance
FIGURE 30. Partial cladogram modified from Data Set 3 from Stern et al. 2017 showing Clades 4 & 5, with photos for comparison of color patterns between Cambarus aff. dubius and Cambarus gentryi.
FIGURE 26. Partial cladogram modified from Data Set 3 in Review of crayfish color patterns in the Family Cambaridae (Astacoidea), with discussion of their possible importance
FIGURE 26. Partial cladogram modified from Data Set 3 from Stern et al. (2017); showing two subclades A & B within the clade of the former subgenus Pennides in the genus Procambarus.
The "Last.fm" data set used in the article "Cumulative effects of triadic closure and homophily in social networks"
<p>This is the "Last.fm" network used in the article:</p> <p>A. Asikainen, G. Iñiguez, J. Ureña-Carrión, K. Kaski, M. Kivelä. Cumulative effects of triadic closure and homophily in social networks. Science Advances (in press)</p> <p>https://doi.org/10.1126/sciadv.aax7310</p> <p>The data set is described in the article. Please cite the original article when using this data set.</p> <p>The original data in which this network is based on was donwloaded from audioscrobbler.net where it was licensed under the "Creative Commons Attribution-NonCommercial-ShareAlike 2.0 UK: England & Wales" licese, and accordinly this data set uses the same license.</p> <p>The data contains two files:</p> <p><strong>lastfm.edg</strong><br> This is the network formatted as an edge list, where each row in the file is an edge connecting the two nodes indicated by the two numbers separated by a whitespace. Each node number corresponds to a single account in the website.</p> <p><strong>lastfm_genders.txt</strong><br> This is the list of genders of the nodes. Each row corresponds to one node. The first number is the node id (matching the one in the edge list) and the second number indicates the gender such that 0=male and 1=female.</p>
Data set for comparison between two biosignals acquisition systems – BioNomadix and BITalino
<p>The data was collected in order to compare quality of the signal acquired by two devices – BITalino (Da Silva, Guerreiro, Lourenço, Fred, & Martins, 2014) and BioNomadix (BIOPAC Systems Inc., Goleta, CA, USA).</p>
Participatory Design of Usability Requirements for Access Control in an Evolutionary-Teal Organization Workshop Data Set
<p>In order to enable members of a socio-technical evolutionary-teal organization to design the technical component for access control, we conducted a workshop that structures the requirement engineering with members. The workshop aims to illustrate user needs, challenges and potential solutions that can be used to infer usability requirements for the development of a prototype of the user interface for access control in the form of "problem statements" and clustered mind-maps.</p> <p>The workshop is setup as a standalone, five-and-a-half-hour group discussion. It uses the methods of Design Thinking and Participatory Design.<br> The workshop has been recorded in video and this data set contains a textual German transcript and transcripts of the moderation cards that have been created during the workshop for various guiding topics.</p> <p>We hope that the material can be used to (a) comprehend the interpretation used in our qualitative research, (b) to adapt the workshop model by other volunteers of our case study Viva con Agua de St. Pauli e.V. (<a href="https://www.vivaconagua.org/">https://www.vivaconagua.org/</a>), and (c) investigate other interesting research questions.</p> <p>Some material, such as timetables and storyboard, has been omitted in the publication due to privacy restrictions.</p>
Highly multiplexed histology reveals phenotypic and spatial characteristics of human Innate Lymphoid Cells in chronic inflammation - MELC colon data-set
<p> 50 marker MELC Run in human colon. Each image shows the same field of view, sequentially stained with the depicted fluorescence-labelled antibodies, including surface proteins and transcription factors. Images contain 2024 x 2024 pixels and are generated using an inverted wide-field fluorescence microscope with a 20x objective, a lateral resolution of 325 nm and an axial resolution above 5 µm. Images have not been normalized and intensities have not been adjusted.</p>
high-resolution data set of esterase vb_24B_21 from Shiga toxin-encoding bacteriophage phi24B; PDB id is 6YP6
<p>high-resolution data set of esterase vb_24B_21 from Shiga toxin-encoding bacteriophage phi24B; PDB id is 6YP6</p> <p>Data were collected at Diamond I04 on February 8, 2012 using an ADSC detector.</p>
medium resolution data set of esterase vb_24B_21 from Shiga toxin-encoding bacteriophage phi24B; PDB id 6YP6
<p>medium resolution data set of esterase vb_24B_21 from Shiga toxin-encoding bacteriophage phi24B; PDB id 6YP6</p> <p>Data were collected at Diamond I04-1 on February 6, 2012</p>
Data set | Geoelectrical and transient electromagnetic surveys at Viveros de Netzahualcóyotl in Xochimilco, Mexico City, Mexico
<p>This repository contains geophysical raw data collected during two field campaigns in 2016 and 2017 at <a href="https://goo.gl/maps/K7xEC44MdnQno9CG8">Viveros de Netzahualcóyotl in Xochimilco</a>, Mexico City, Mexico.</p> <p>The data set includes raw data analysed for the first case study discussed in the following publication</p> <p>Bücker, M., Lozano-Garcia. S., Ortega-Guerrero, B., Caballero-Miranda, M., Pérez, L., Caballero, L., Pita de la Paz, C., Sánchez-Galindo, A., Jesús Villegas, F., Flores Orozco, A., Brown, E., Werne, J., Valero Garcés, B., Schwalb, A., Kemna, A., Sánchez-Alvaro, E., Launizar-Martínez, N., Valverde-Placencia, A., Garay-Jiménez, F. (2017). <em><strong>Geoelectrical and Electromagnetic Methods Applied to Paleolimnological Studies: Two Examples from Desiccated Lakes in the Basin of Mexico</strong></em>. Boletín de la Sociedad Geológica Mexicana, 69(2), 279-298, <a href="http://dx.doi.org/10.18268/bsgm2017v69n2a1">http://dx.doi.org/10.18268/bsgm2017v69n2a1</a>.</p> <p>If you find our data useful in your own research, please mention this data set and/or the manuscript.</p> <p>The data are provided under the Creative Commons Attribution 4.0 International license.</p>
Data set - Lagrangian observations and modelling of turbulence along a tidally influenced river
<p>The 'Kaipara_model.mat' files contains the grid and bathymetry of a model of the Kaipara River, New Zealand, created notably in order to study turbulence in a Lagrangian frame of reference. </p> <p>The 'Dataset_Kaipara_Lagrangian.mat' file contains Lagrangian observations collected in the Kaipara river and corresponding model predictions. </p>
Data sets for: EMA-amplicon-based sequencing of untreated and SODIS treated rainwater
<p>Data sets for the EMA-amplicon-based sequencing of untreated and treated rainwater collected from an informal settlement and rural farming community in South Africa. The data sets were used for the publication: EMA-amplicon-based sequencing informs risk assessment analysis of water treatment systems (Submitted to Science of the Total Environment).</p>
Perch positioning affects laying hen locomotion and forces experienced at the keel - FULL DATA SET
<p>Full data set for publication in Animals</p> <p><strong>Perch positioning affects laying hen locomotion and forces experienced at the keel</strong></p> <p><em>Christina Rufener, Ana K. Rentsch, Ariane Stratmann, Michael J. Toscano</em></p>
MarTREC Data Set for Report: Large Scale Evaluation of Erosion Resistance of Biocementation against Bridge Scour and Roadway Shoulder Erosion
<p>Data set used for the report, "Large Scale Evaluation of Erosion Resistance of Biocementation against Bridge Scour and Roadway Shoulder Erosion". The purpose of the report was to develop an alternative approach for armoring the riverbed with biocementation through MICP to mitigate soil erosion. Long-term erosion exposed to outdoor environment, rainfall induced erosion, and accelerated erosion were conducted on MICP-treated samples to prove the feasibility of the MICP technique for potential applications in prevention of bridge scour and road shoulder erosion. The experimental work and discussion about the testing results indicated that exposing to outdoor environment could result in sharp decrease on UCS for MICP-treated samples. But the MICP-treated samples had better resistance to rainfall induced erosion. The bio-surface treatment gave significant help for cement-treated samples to resist accelerated erosion and water absorption, especially the multiple bio-surface treatments method, no erosion could be measured and 5% lower water absorption was achieved after the cement-treated sample was triple treated by bio-surface treatments. The pure MICP-treated samples were also good at resisting accelerated erosion and water absorption. Furthermore, fiber addition and multiple MICP treatments could improve their resistance. The maximum erosion rate of single MICP-treated samples reduced from 0.16 mm/min to 0 mm/min after triple MICP treatment cycles applied on the samples. Extra MICP treatments on soil samples improved the resistance to water absorption significantly. The triple MICP-treated samples achieved a 6% lower absorption than single-treated samples. All these results indicated that the bio-mediated particulate material based on MICP can provide an effective solution for problematic cases of sandy soil in prevention of bridge scour and road shoulder erosion.</p>
A Large-scale Data Set and an Empirical Study of Docker Images Hosted on Docker Hub
<p>The data set schema, fields description, and analysis scripts are in the GitHub artifact repository.</p> <p>https://github.com/linncy/icsme2020-docker-study</p> <p> </p> <p>@inproceedings{LinICSME20,<br>author={Changyuan Lin and Sarah Nadi and Hamzeh Khazaei},<br>title={A Large-scale Data Set and an Empirical Study of Docker Images Hosted on Docker Hub},<br>booktitle={Proceedings of the 36th IEEE International Conference on Software Maintenance and Evolution (ICSME)},<br>year={2020},<br>url_Paper={https://www.dropbox.com/s/3bktcmdr7rlw1ic/LinICSME20.pdf}<br>}</p>
The WWU DUNEuro reference data set for combined EEG/MEG source analysis
<p>The provided dataset consists of two high-quality realistic head models and combined EEG/MEG data which can be used for state-of-the-art methods in brain research, such as modern finite element methods (FEM) to compute the EEG/MEG forward problems using the software toolbox DUNEuro (http://duneuro.org).</p> <p>A combined EEG/MEG dataset from a somatosensory experiment is provided (<strong>sep_sef.zip</strong>): Somatosensory evoked potentials (SEP) and fields (SEF) were elicited by stimulating the median nerve at the wrist of the right arm with monophasic square-wave electrical pulses with 0.5 ms duration. A random stimulus onset asynchrony between 350 and 450 ms was used and the strength was adjusted to invoke a clear movement of the thumb. The duration of the experiment was 10 minutes for a measurement of 1200 trials and data was acquired with a sampling rate of 1200 Hz and online low pass filtered at 300 Hz. An artifact reduction was achieved by reversing the polarity of the stimulation during the second half of the measurement. A 74-channel EEG (EASYCAP GmbH, Herrsching, Germany), for which the electrode positions were digitized using a Polhemus device (FASTRAK, Polhemus Incorporated, Colchester, Vermont, U.S.A.), and a whole-head MEG with 275 axial gradiometers and 29 reference coils (OMEGA2005, VSM MedTech Ltd., Canada) were used in the measurement.</p> <p>Ethics Statement: One healthy subject (49 years, male) participated in this study. The subject had no history of psychiatric or neurological disorders and had given written informed consent before the experiment. All procedures had been approved by the ethics committee of the University of Erlangen, Faculty of Medicine on 10.05.2011 (Ref. No. 4453).</p> <p>Additionally, two different advanced realistic head models are supplied, which both use a six-compartment segmentation from T1/T2-MRI of the test subject. They differentiate between scalp, skull compacta, skull spongiosa, cerebrospinal fluid (CSF) and gray and white matter tissue. One head model is a tetrahedral volumetric mesh (<strong>realistic_tet_mesh_6c.msh</strong>), while the other provides the geometric information by level-sets for each tissue boundary (<strong>realistic_levelsets_6c.zip</strong>). </p> <p>A detailed description of the construction of the tetrahedral mesh can be found <a href="https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.25272">here</a> (subsection 2.3), the main steps are presented in the following. First, the MR images were co-registered and resampled so that the voxels of the anatomical data are cubic. Furthermore, the images were cut sufficiently below the skull of the participant. Subsequently, the segmentation of the T1w and T2w was performed in order to create six volumetric masks representing the six tissue compartments. The brain compartment was segmented via the <a href="http://surfer.nmr.mgh.harvard.edu">FreeSurfer</a> software. The remaining preprocessing and creation of the volumetric masks was entirely performed via routines available in <a href="https://www.fieldtriptoolbox.org/">FieldTrip</a>. In particular, the scalp and skull segmentations were done via the <a href="https://www.fil.ion.ucl.ac.uk/spm/software/spm12/">spm12</a> software, embedded in FieldTrip. Once the masks were assembled, a volumetric tetrahedral mesh was created using the <a href="https://doc.cgal.org/Manual/3.5/doc_html/cgal_manual/Mesh_3/Chapter_main.html">CGAL</a> software embedded in <a href="http://iso2mesh.sourceforge.net/cgi-bin/index.cgi">iso2mesh</a>, resulting in 885,214 nodes and 5,335,615 tetrahedrons. The mesh is provided in <a href="https://gmsh.info">gmsh</a> format, including information about the node positions, elements defined by their node indices, and labels for each element indicating the tissue compartment.</p> <p>For the construction of the unfitted head model, a six-compartment voxel segmentation was constructed based on the T1- and T2-weighted MR images, distinguishing between skin, skull compacta and spongiosa, CSF, gray and white matter using <a href="https://www.fil.ion.ucl.ac.uk/spm/software/spm12/">SPM12</a> via <a href="https://www.fieldtriptoolbox.org/">Fieldtrip</a>, <a href="https://fsl.fmrib.ox.ac.uk/fsl">FSL</a> and internal MATLAB routines. Surfaces were extracted from this voxel segmentation to distinguish between the different tissue compartments. In order to smooth the surfaces while sustaining the available information from the segmentation, we applied an anti-aliasing algorithm created for binary voxel images presented in (<a href="https://doi.org/10.1145/353888.353893">Whitaker, 2000</a>). The resulting smoothed surfaces are represented as discrete level-set functions, i.e., by <span class="math-tex">\(N^3\)</span>-dimensional arrays (<span class="math-tex">\(N\)</span>=257), the value on each node indicates the signed distance to the respective surface.</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.