Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3,264
datasets available to search
ShareScore release 0.9.0
Dataset results
3,264 results for “FAST”
Figures, plotting scripts, and data for "A fast, low-cost, and stable memory algorithm for implementing multicomponent transport in direct numerical simulations"
<p>This dataset contains the figures, as well as the necessary plotting scripts and data to reproduce them, for the article "A fast, low-cost, and stable memory algorithm for implementing multicomponent transport in direct numerical simulations" by Aaron J. Fillo, Jason Schlup, Guillaume Beardsell, Guillaume Blanquart, and Kyle E. Niemeyer (2019). In addition, the code used to generate the eigenvalues in Table 1 is included.</p> <p>The scripts were run in Matlab 2019a, though none of the versions used should be version-dependent. Furthermore, non-standard functions are included with dependencies hard-coded. We used export_fig (https://github.com/altmany/export_fig) to generate high-quality figures, and redistribute the version used here for reproducibility (export_fig was developed by Oliver J. Woodford and Yair M. Altman, and made available openly under the BSD 3-Clause License).</p> <p>The code included in this dataset is released under the BSD 3-Clause License (see LICENSE.txt for details), other than the source of export_fig, as described. The figures are shared under the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).</p>
Maximizing Relayed 1H Hyperpolarization Transfer by Slow-Fast MAS NMR Spectroscopy
<p>NMR raw data, matlab scripts, and data related to publication: https://doi.org/10.1021/acs.jpca.4c02452.</p> <p>The raw data content is described in the README files provided within the folders.</p>
Lab Study Dataset: Fast and Secure Contact Exchange in Groups
<p>This record contains the <strong>lab study dataset</strong> and <strong>evaluation R source code</strong> from the paper <em>"Sounds Good? Fast and Secure Contact Exchange in Groups"</em> by Florentin Putz, Steffen Haesler, and Matthias Hollick in Proceedings of the ACM on Human-Computer Interaction (CSCW '24).</p> <p> </p> <p><strong>Abstract:</strong></p> <p>Trustworthy digital communication requires the secure exchange of contact information, but current approaches lack usability and scalability for larger groups of users. We evaluate the usability of two secure contact exchange systems: the current state of the art, SafeSlinger, and our newly designed protocol, <em>PairSonic</em>, which extends trust from physical encounters to spontaneous online communication. Our lab study (N=45) demonstrates PairSonic's superior usability, automating the tedious verification tasks from previous approaches via an acoustic out-of-band channel. Although participants significantly preferred our system, minimizing user effort surprisingly decreased the perceived security for some users, who associated security with complexity. We discuss user perceptions of the different protocol components and identify remaining usability barriers for CSCW application scenarios.</p> <p> </p> <p><strong>Dataset:</strong></p> <p>Our pseudonymous dataset contains usability, security, and preference scores, completion times, reported usage of nine types of social and collaborative tools, and seven demographic and control variables, for each of our 45 participants.</p> <p> </p> <p><strong>Analysis source code:</strong></p> <p>Our R Markdown source code includes the full reproducible code of our analysis. This code generates all statistical figures from our paper. The code can also be used to reproduce our quantitative results and tables.</p> <p>Please refer to the README.md file and our paper for further details about the dataset and the lab study.</p> <p> </p> <p><strong>Acknowledgments:</strong></p> <p>This work has been funded by the LOEWE initiative (Hesse, Germany) within the emergenCITY center [LOEWE/1/12/519/03/05.001(0016)/72].</p>
Fast Liquiñe-Ofqui Fault Slip Rates and Rapid Uplift Above the Subducted Chile Ridge
<p>These field data are GPS tracks, GPS waypoints, structual data, seismicity data, and DEM data from the study. </p>
Humatch - fast, gene-specific joint humanisation of antibody heavy and light chains
<p>Antibodies are a popular and powerful class of therapeutic due to their ability to exhibit high affinity and specificity to target proteins. However, the majority of antibody therapeutics are not genetically human, with initial therapeutic designs typically obtained from animal models. Humanisation of these precursors is essential to reduce immunogenic risks when administered to humans.</p> <p>To aid humanisation we developed <a href="https://github.com/oxpig/Humatch" target="_blank" rel="noopener">Humatch</a>, a computational tool designed to offer experimental-like joint humanisation of heavy and light chains in seconds. Humatch consists of three lightweight Convolutional Neural Networks (CNNs) trained to identify human heavy V-genes, light V-genes, and well-paired antibody sequences with near-perfect accuracy. We show that these CNNs, alongside germline similarity, can be used for fast humanisation that aligns well with known experimental data. Throughout the humanisation process, a sequence is guided towards a specific target gene and away from others via multiclass CNN outputs and gene-specific germline data. This guidance ensures final humanised designs do not sit `between' genes, a trait that is not naturally observed. Humatch's optimisation towards specific genes and good VH/VL pairing increases the chances that final designs will be stable and express well and reduces the chances of immunogenic epitopes forming between the two chains.</p> <p>Here we share the data used to train and evaluate Humatch and the CNN weights and germline likeness lookup arrays that guide its humanisation.</p>
Raw data for High-speed shear mixing: a versatile energy-efficient ultra-fast strategy for solvent-free amine-functionalised solid CO2 adsorbents for direct air capture
<p><strong>Specification of affiliations:</strong></p> <ul> <li>Pavol Suly - Centre of Polymer Systems</li> <li>Barbora Hanulikova - Centre of Polymer Systems</li> <li>Abdulkadir Bozarslan - Centre of Polymer Systems</li> <li>Milan Masar - Centre of Polymer Systems</li> <li>Michal Urbanek - Centre of Polymer Systems</li> <li>Eva Domincova Bergerova - Centre of Polymer Systems</li> <li>Michal Machovsky - Centre of Polymer Systems</li> <li>Ivo Kuritka - Centre of Polymer Systems</li> </ul> <p> </p> <p>Raw data for the research paper. Information on the data collection are described in the manuscript. </p>
Data from "A search using GEO600 for gravitational waves coincident with fast radio bursts from SGR 1935+2154"
<p>This includes the data and scripts used to generate the plots in the paper "A search using GEO600 for gravitational waves coincident with fast radio bursts from SGR 1935+2154."</p>
Linked collectors and determiners for: The fast-running flies (Diptera, Hybotidae, Tachydromiinae) of Singapore and adjacent regions.
Natural history specimen data linked to collectors and determiners held within, "The fast-running flies (Diptera, Hybotidae, Tachydromiinae) of Singapore and adjacent regions". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/e809cd3a-36bb-413d-9f19-70837d7db34b">https://bionomia.net/dataset/e809cd3a-36bb-413d-9f19-70837d7db34b</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/e809cd3a-36bb-413d-9f19-70837d7db34b">https://gbif.org/dataset/e809cd3a-36bb-413d-9f19-70837d7db34b</a>. Formatted as a Frictionless Data package.
Data set on corporate image of fast-moving consumer goods concerning cause-related marketing
<p>The dataset consists of Corporate image of fast-moving consumer goods in connection with cause-related marketing.Dataset is based on questionnaire having thirteen five point scale likert scale statements along with the demographic variables.The questionnaire is drafted based on factors contributing to corporate image of fast-moving consumer goods concerning cause-related marketing such as consumer cause identification,Type of cause-related marketing campaigns,Guilt appeal and Inferred motive.The responses of likert scale statements were in the form of 'Strongly Agree', 'Agree', Neutral', 'Disagree', Strongly Disagree', and they were coded as 5,4,3,2,1 respectively for positive statements and 1,2,3,4,5 respectively for negative statements</p>
Comparative transcriptomics of tropical woody plants supports fast and furious strategy along the leaf economics spectrum in lianas
<p>Lianas, climbing woody plants, influence the structure and function of tropical forests. Climbing traits have evolved multiple times, including ancestral groups such as gymnosperms and pteridophytes, but the genetic basis of the liana strategy is largely unknown. Here, we use a comparative transcriptomic approach for 47 tropical plant species, including ten lianas of diverse taxonomic origins, to identify genes that are consistently expressed or downregulated only in lianas. Our comparative analysis of full-length transcripts enabled the identification of a core interactomic network common to lianas. Sets of transcripts identified from our analysis reveal features related to functional traits pertinent to leaf economics spectrum in lianas, including upregulation of genes controlling epidermal cuticular properties, cell wall remodeling, carbon concentrating mechanism, cell cycle progression, DNA repair and a large suit of downregulated transcription factors and enzymes involved in ABA-mediated stress response as well as lignin and suberin synthesis. Altogether, these genes are known to be significant in shaping plant morphologies through responses such as gravitropism, phyllotaxy and shade avoidance.</p>
Figs. 45–47 in New species of fast-running flies (Diptera: Empidoidea, Hybotidae, Tachydromiinae) from mangroves in Singapore
Figs. 45–47. Stilpon ubinensis, new species, male: 45, right epandrial lamella, lateral view; 46, epandrium with cerci, dorsal view; 47, left cercus and surstylus, lateral view. Scale bar = 0.1 mm.
Figs. 37–39 in New species of fast-running flies (Diptera: Empidoidea, Hybotidae, Tachydromiinae) from mangroves in Singapore
Figs. 37–39. Elaphropeza pallida, new species: 37, right epandrial lamella, lateral view; 38, epandrium with cerci, dorsal view; 39, left surstylus, lateral view. Scale bar = 0.1 mm.
Fig. 31 in New species of fast-running flies (Diptera: Empidoidea, Hybotidae, Tachydromiinae) from mangroves in Singapore
Fig. 31. Elaphropeza obscura, new species, male habitus lateral. Genitalia removed and illustrated in Figs. 32–34.
Figs. 20–21. Elaphropeza kranjiensis Grootaert & Shamshev 2012 in New species of fast-running flies (Diptera: Empidoidea, Hybotidae, Tachydromiinae) from mangroves in Singapore
Figs. 20–21. Elaphropeza kranjiensis Grootaert & Shamshev 2012 male habitus: 20, lateral; 21, dorsal.
Figs. 23–25 in New species of fast-running flies (Diptera: Empidoidea, Hybotidae, Tachydromiinae) from mangroves in Singapore
Figs. 23–25. Elaphropeza lowioides, new species: 23, right epandrial lamella, lateral view; 24, epandrium with cerci, dorsal view; 25, left surstylus, lateral view. Scale bar = 0.1 mm.
Figs. 17–19 in New species of fast-running flies (Diptera: Empidoidea, Hybotidae, Tachydromiinae) from mangroves in Singapore
Figs. 17–19. Elaphropeza chanoides, new species: 17, right epandrial lamella, lateral view with detail of subapical bristles; 18, epandrium with cerci, dorsal view; 19, left surstylus, lateral view. Scale bar = 0.1 mm.
Fig. 16 in New species of fast-running flies (Diptera: Empidoidea, Hybotidae, Tachydromiinae) from mangroves in Singapore
Fig. 16. Elaphropeza chanoides, new species, male habitus lateral. Genitalia removed and illustrated in Figs. 17–19.
Figs. 28–30 in New species of fast-running flies (Diptera: Empidoidea, Hybotidae, Tachydromiinae) from mangroves in Singapore
Figs. 28–30. Elaphropeza melanuroides, new species: 28, right epandrial lamella, lateral view; 29, epandrium with cerci, dorsal view; 30, left surstylus, lateral view. Scale bar = 0.1 mm.
Figs. 13–15 in New species of fast-running flies (Diptera: Empidoidea, Hybotidae, Tachydromiinae) from mangroves in Singapore
Figs. 13–15. Elaphropeza bakau, new species: 13, right epandrial lamella; 14, epandrium with cerci, dorsal view; 15, left surstylus, lateral view. Scale bar = 0.1 mm.
Figs. 8–11 in New species of fast-running flies (Diptera: Empidoidea, Hybotidae, Tachydromiinae) from mangroves in Singapore
Figs. 8–11. Elaphropeza asexa Shamshev & Grootaert, 2007: 8, right epandrial lamella, lateral view; 9, epandrium with cerci, dorsal view; 10, left cercus lateral view; 11, left surstylus, lateral view. Scale bar = 0.1 mm.
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.