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.
7,195
datasets available to search
ShareScore release 0.9.0
Dataset results
7,195 results for “SET”
Data set for cardiovascular and mood responses to an acute bout of cold water immersion
<p>Data set for manuscript. </p>
Data sets for 1489798
<p>Data sets for 1489798: Dissertation</p>
Raw motif mapping bedfile data and model training set class probabilities
<p>Leveraging prior viral genome sequencing data to make predictions on whether an unknown, emergent virus harbors a 'phenotype-of-concern' has been a long-sought goal of genomic epidemiology. A predictive phenotype model built from nucleotide-level information alone is challenging with respect to RNA viruses due to the ultra-high intra-sequence variance of their genomes, even within closely related clades. We developed a degenerate k-mer method to accommodate this high intra-sequence variation of RNA virus genomes for modeling frameworks. By leveraging a taxonomy-guided 'group-shuffle-split' cross validation paradigm on complete coronavirus assemblies from prior to October 2018, we trained multiple regularized logistic regression classifiers at the nucleotide k-mer level. We demonstrate the feasibility of this method by finding models accurately predicting withheld SARS-CoV-2 genome sequences as human pathogens and accurately predicting withheld Swine Acute Diarrhea Syndrome coronavirus (SADS-CoV) genome sequences as non-human pathogens. Feature selection using L1 regularization identified several degenerate nucleotide predictor motifs with high model coefficients for the human pathogen class that were present across widely disparate clades of coronaviruses. However, these motifs differed in which genes they were present in, what specific codons were used to encode them, and what the translated amino acid motif was. This emphasizes the importance of a phenetic view of emerging pathogenic RNA viruses, as opposed to the canonical phylogenetic interpretations most commonly used to track and manage viral zoonoses. Applying our model to more recent Orthocoronavirinae genomes deposited since October 2018 yields a novel contextual view of pathogen potential across bat-related, canine-related, porcine-related, and rodent-related coronaviruses and critical adaptations which may have contributed to the emergence of the pandemic SARS-CoV-2 virus. Finally, we discuss the next steps to achieve robust predictive ensembles and the utility of these models (and their associated predictor motifs) to novel biosurveillance protocols that substantially increase the 'pound-for-pound' information content of field-collected sequencing data and make a strong argument for the necessity of routine collection and sequencing of zoonotic viruses. </p>
Paladino et al. 2024 raw PCM output Set # 3
<p>Set #3 of PCM output from Paladino et al., (2024).</p>
Guppy pre-miRNAs (unfiltered set)
<p>Initial (pre-filtered) set of pre-miRNAs from three tissues - brain, ovary and testis.</p>
Data set for Finding Equivalence of Layout Independent Water Distribution Network for Expansion/Reorganization Using Nonlinear Multi-Port Thevenin Theorem
<p>This is the dataset for our manuscript titled "Finding Equivalence of Layout Independent Water Distribution Network for Expansion/Reorganization Using Nonlinear Multi-Port Thevenin Theorem".</p>
M3-Seq imaging data set (Wang, et. al 2023)
<p>Raw image files for M3-Seq paper.</p>
2023_Melo et al. BPMN x NI x Game - Data Set
<p>Full data from Caue's TCC</p>
Code and experimental data for the ECAI 2023 paper "PARIS: Planning Algorithms for Reconfiguring Independent Sets"
<p>The archive chirsten-et-al-ecai2023-solvers contains the code necessary to generate the singularity images used in the experimental evaluation, except for CPLEX which is needed for some PARIS images. The solvers can be built using the build.sh script in the solver's sub-directory.</p> <p>The archive christen-et-al-ecai2023-data contains all the scripts necessary to run the experiments<br> presented in the paper, as well as all the raw and processed data.</p> <p>The archive christen-et-al-ecai2023-benchmarks contains all the benchmarks from the competition as well as our compiled PDDL and SAS+ versions, and the scripts used for the compilation.</p> <p>For a detailed explanation, see the README file within the archives. For licensing information about the solvers, consult the LICENSE file within the solvers archive.</p>
EgC v3 - Emotion Data Set in Game Against Corruption (SBGames 2023)
<p>EgC v3 - Emotion Data Set in Game Against Corruption (SBGames 2023)</p>
APObind core set for KarmaDock (229 protein-ligand complexes).
<p>APObind core set for KarmaDock (229 protein-ligand complexes). </p>
Data set of 1,275 images capturing interactions between flies and blooming flowers
<p>The dataset presented is a collection of 1,275 images capturing interactions between flies and blooming flowers. The images were sourced from internet repositories through searches conducted between August 2016 and August 2020, using the Google Chrome v. 33.x web browser. Internet searches focused on Google Images and three major social media platforms: Flickr, Instagram, and agefotostock. Photographs were taken by photographers worldwide and uploaded to these platforms, forming the basis of the dataset. The data encompasses various taxonomic and ecological information for both the flies and the flowers depicted in the images. For each image, detailed taxonomic information was recorded for the flies, including their suborders (Nematocera and Brachycera, grouped as Higher/Lesser), Family (wherever possible, distinguishing between Syrphidae and non-Syrphidae), and Genus and species (if available). Further characterization of the flies included recording their sex (identified based on morphology), feeding status (identified by visible proboscis extension into the flower), and the presence or absence of pollen particles on their bodies. Similarly, for each image, taxonomic information was collected for the flowers, including their Family and Genus and species (when identifiable). Flowers were categorized by petal color, which was grouped into four main categories based on the visible spectrum wavelength: purple to blue (ranging from 380-520 nm), green to yellow (ranging from 520-590 nm), orange to red (ranging from 590-740 nm), and white. Additionally, flowers were classified based on their shape, with four main categories: elongate cluster, round cluster, composite-shaped, or simple-shaped. To complement the taxonomic and morphological information, the dataset includes additional data for each image, such as web links to the original sources, geographic locations where the images were captured, and the date of image acquisition. This dataset offers a valuable resource for studying fly-flower interactions on a broad scale, using photographs contributed by photographers from around the world. </p>
Interfacial Cherenkov radiation from ultralow-energy electrons - Data set
<p>Data set for "Interfacial Cherenkov Radiation from Ultralow-Energy Electrons"</p>
Fig. 4 in To design, or not to design? Comparison of beetle ultraconserved element probe set utility based on phylogenetic distance, breadth, and method of probe
Fig. 4. The proportion of different types of loci targeted by scarab and hydrophiloid probe sets.
eQTL Catalogue release 5 fine mapped credible sets
<p>All fine mapping credible sets from eQTL Catalogue release 5 compressed into a single tar archive.</p>
Data sets and Results associated with clingen-svi-comp_calibration
<p>This contains data sets and results associated with the paper "<a href="https://www.cell.com/ajhg/fulltext/S0002-9297(22)00461-X">Calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for PP3/BP4 criteria</a>" and the associated <a href="https://github.com/vpejaver/clingen-svi-comp_calibration">GitHub</a> repo. Each compressed directory contains a README file describing the files and directory structures</p>
Integrable Set Discovery and Multi-tuple Conflict Resolution
<p>Integrable Set Discovery and Multi-tuple Conflict Resolution</p>
Open Psychology Data Set
<p>Data Set</p>
DATA set for 'Molecular characterization of MRSA using 16S rRNA from different sources in Jazan region of Saudi Arabia.
<p>Nucleotide sequence of 16S rRNA gene of S. aureus isolates</p>
Four sweep cubic insulin data set recorded using dose mode (1MGy / scan) on Diamond Light Source beamline i04
<p>Four sweep cubic insulin data set recorded on Diamond Light Source beamline i04 as part of routine testing. Data were collected with four full 360° scans / 0.1° / image to give a total of 1MGy / scan i.e. "carefully" to avoid problems of obvious radiation damage. The beam size was adjusted to be about the same as the crystal, spreading the dose uniformly across the sample. </p> <p> </p> <p>Processing using my "<a href="https://github.com/graeme-winter/dials_tutorials/blob/main/se-thaumatin/tldr.md">standard DIALS script</a>" gives nice data to 1.2Å:</p> <pre><code> Overall Low High High resolution limit 1.20 3.26 1.20 Low resolution limit 55.07 55.13 1.22 Completeness 100.0 100.0 100.0 Multiplicity 150.2 155.4 76.0 I/sigma 40.8 295.5 0.4 Rmerge(I) 0.075 0.027 7.170 Rmerge(I+/-) 0.075 0.026 7.127 Rmeas(I) 0.076 0.027 7.218 Rmeas(I+/-) 0.075 0.027 7.220 Rpim(I) 0.006 0.002 0.815 Rpim(I+/-) 0.008 0.003 1.140 CC half 1.000 1.000 0.335 Anomalous completeness 100.0 100.0 100.0 Anomalous multiplicity 77.7 84.8 38.9 Anomalous correlation 0.499 0.680 -0.005 Anomalous slope 0.626 dF/F 0.031 dI/s(dI) 0.761 Total observations 3709553 203869 91461 Total unique 24699 1312 1204</code></pre> <p>Data shared to allow use in tutorials etc. as well as a reference for future data handling questions.</p> <p> </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.