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.
901
datasets available to search
ShareScore release 0.9.0
Dataset results
901 results for “Modality”
UF/OSU - ARPA-E SMARTFARM Grain Sorghum 2021 Oklahoma site comprehensive sensor modalities data set
<p>Comprehensive Year 1 data of ARPA-E SMARTFARM Grain Sorghum project titled "Establishing Validation Sites for Field-Level Emissions Quantification from Grain Sorghum in Southern Great Plains". Data sets includes Eddy Caovariance measurements of GHGs (CO2, CH4 and N2O) along with sub acre level soil moisture, soil temperarature, soil N and carbon, plant biomass and yield. This data is from the Oklahoma site of the project.</p>
Data from: Cross-modal recognition of familiar conspecifics in goats
When identifying other individuals, animals may match current cues with stored information about that individual from the same sensory modality. Animals may also be able to combine current information with previously acquired information from other sensory modalities, indicating that they possess complex cognitive templates of individuals that are independent of modality. We investigated whether goats (Capra hircus) possess cross-modal representations (auditory–visual) of conspecifics. We presented subjects with recorded conspecific calls broadcast equidistant between two individuals, one of which was the caller. We found that, when presented with a stablemate and another herd member, goats looked towards the caller sooner and for longer than the non-caller, regardless of caller identity. By contrast, when choosing between two herd members, other than their stablemate, goats did not show a preference to look towards the caller. Goats show cross-modal recognition of close social partners, but not of less familiar herd members. Goats may employ inferential reasoning when identifying conspecifics, potentially facilitating individual identification based on incomplete information. Understanding the prevalence of cross-modal recognition and the degree to which different sensory modalities are integrated provides insight into how animals learn about other individuals, and the evolution of animal communication.
Data from: Sexual selection and population divergence II. divergence in different sexual traits and signal modalities in field crickets (Teleogryllus oceanicus)
Sexual selection can target many different types of traits. However, the relative influence of different sexually-selected traits during evolutionary divergence is poorly understood. We used the field cricket Teleogryllus oceanicus to quantify and compare how five traits from each of three sexual signal modalities and components diverge among allopatric populations: male advertisement song, cuticular hydrocarbon (CHC) profiles and forewing morphology. Population divergence was unexpectedly consistent: we estimated the among-population (genetic) variance-covariance matrix, D, for all 15 traits, and Dmax explained nearly two-thirds of its variation. CHC and wing traits were most tightly integrated, whereas song varied more independently. We modelled the dependence of among-population trait divergence on genetic distance estimated from neutral markers to test for signatures of selection vs. neutral divergence. For all three sexual trait types, phenotypic variation among populations was largely explained by a neutral model of divergence. Our findings illustrate how phenotypic integration across different types of sexual traits might impose constraints on the evolution of mating isolation and divergence via sexual selection.
Audio-visual cross-modal generation
<p>CVPR 2021 tutorial</p>
Figure 2 from: Klein A, Ghosh S (2016) Graph-based clinical diagnosis and prediction using multi-modal neuroimaging data. Research Ideas and Outcomes 2: e8835. https://doi.org/10.3897/rio.2.e8835
Figure 2 - Examples of automatically extracted features (MRI) (a) Example structural features (left lateral views of volumes, surfaces, curves, and points) (b) Schematic feature hierarchy: 3-D gyrii surround a 2-D sulcal ribbon with 1-D fundus containing 0-D pits
Figure 1 from: Klein A, Ghosh S (2016) Graph-based clinical diagnosis and prediction using multi-modal neuroimaging data. Research Ideas and Outcomes 2: e8835. https://doi.org/10.3897/rio.2.e8835
Figure 1 - Examples of graph-based representations of scientific data among hundreds on the www.visualcomplexity.com website (categories on the site include biology, food webs and semantic, social, and knowledge networks). Lower left images of DTI, connectome, and network hubs are from Olaf Sporns (2010, Scholarpedia, 5(2):5584).
Figure 3 from: Klein A, Ghosh S (2016) Graph-based clinical diagnosis and prediction using multi-modal neuroimaging data. Research Ideas and Outcomes 2: e8835. https://doi.org/10.3897/rio.2.e8835
Figure 3 - Example of a graph-based representation of MRI and DTI features (a) A gray/white matter surface (left lateral view) with (visible) sulcal pits highlighted. These features go by different names (sulcal roots, buried gyrii, annectant gyrii, plis de passage) and may be well conserved structures formed early in development. (b) DTI connectivity graph computed on the same patient with depression as on the left panel. Vertices represent automatically extracted sulcal pits and each edge indicates a connection probability greater than 0.01 between two vertices.
How Bi-Modal are Jupiter's Main Aurora Zones?
<p>Provided here are ASCII dumps of the processed data that appears in the figure of the subject paper, which is under review for publication by the American Geophysical Union’s Journal of Geophysical Research, Space Physics. The PDF of the paper provided here serves to document the figures in question. </p> <p> </p> <p><strong>How Bi-Modal are Jupiter’s Main Aurora Zones?</strong></p> <p> </p> <p><strong>B. H. Mauk, J. R. Szalay, F. Allegrini, F. Bagenal, S. J. Bolton, G. Clark, J. E. P. Connerney, G. R. Gladstone, D. K. Haggerty, P. Kollmann, W. S. Kurth, C. P. Paranicas, </strong><strong>A. H. Sulaiman</strong></p> <p><strong>Key Points:</strong></p> <ul> <li>Zone I downward electron broadband acceleration sometimes has upward electrostatic potentials fully disappearing and other times enduring.</li> <li>Zone I potentials of 30-360 kV often disappear to < 10 kV with strong broadband electrons having characteristic energies of 100-400 keV.</li> <li>Why one process (electrostatic or broadband) is favored over the other at any one time remains unknown.</li> </ul> <p>Abstract</p> <p>Using Juno-measured >30 keV electrons, three regions with substantial UV emissions were identified previously for Jupiter’s main aurora (excluding the polar cap): low-latitude diffuse aurora, mid-latitude Zone I of downward acceleration, and higher latitude Zone II of bi-directional acceleration. Zone I, associated with upward magnetic field-aligned currents, was represented as bimodal: sometimes supporting coherent downward electron electrostatic acceleration and sometimes downward electron broadband acceleration, with broadband acceleration usually delivering the most intense electron energy flux at Juno. Recent observations of up-going ion beams within Zone I represent a challenge as to whether coherent electrostatic acceleration invariably accompanies broadband acceleration. Is this region strictly bi-modal, or is there a continuum between these two modes? We address these questions by combining multiple ion and electron data sources to diagnose electrostatic potentials both above and below the spacecraft. We find: 1) During Zone I downward electron broadband events, there are examples where evidence of downward electron electrostatic acceleration completely disappears and examples where it endures at some level. 2) Most often, evidence of downward electron electrostatic acceleration is strongly suppressed with strong downward electron broadband acceleration. Residual potentials most often (not always) have values small (<10 kV) compared to the electron characteristic energies of 100-400 keV. 3) Care must be exercised in these studies because plasmasheet electron precipitation spectra can mimic broadband acceleration spectra. At least for weaker auroral broadband accelerations, there is likely to be a continuum of electrostatic and broadband participation. Why either process is favored any one time is unknown.</p> <p> </p>
Data collection of toy horses and zebras for multi-modal image synthesis
<p>Motivated by building a live demonstration of horse-to-zebra synthesis, we created our own dataset consisting of images of different toy horses and zebras. We used a wide variety of backgrounds, camera angles and lighting settings. In addition, images were also created in which the toy animals were held in the hand to better demonstrate synthesis in front of the camera. </p> <p>Besides the raw image and video footage, we prepared different compilations of data in form of datasets.</p> <p>Following the horse-to-zebra synthesis by Zhu et al. in the paper "Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks", we partially adopted the horse2zebra dataset from real horses and zebras in our datasets.</p>
Deepurify: a multi-modal deep language model to remove contamination from metagenome-assembled genomes
<p>The SIM1 testing set.</p>
Data underlying the paper titled "Enhancing hyperspectral imaging through macro and multi-modal capabilities"
<p>The data is in .mat format and contains two variables:<br>data(x, y, lambda) is the variable that contains the hyperspectral dataset, after being converted from temporal to spectral hypercube.<br>WL(lambda) is the variable that contains the wavelength calibration.</p>
Chinese Exercise Modalities in Parkinson's Disease
ClinicalTrials.gov study NCT00029809. IPD Sharing: Not stated. Countries: 1. Publications: 2.
A Phase II Combined Modality Protocol of Debulking Surgery With HIPEC Followed by Intraperitoneal Chemotherapy for the Treatment of Recurrent Ovarian, Primary Peritoneal & Fallopian Tube Cancers
ClinicalTrials.gov study NCT01659554. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of Cold Therapy Implementation on Multi-modal Postoperative Pain Management
ClinicalTrials.gov study NCT03129464. IPD Sharing: NO. Countries: 1. Publications: 0.
Body Compartment PK for New HIV Pre-exposure Prophylaxis Modalities
ClinicalTrials.gov study NCT02985996. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of Age-related Skin Changes Using Clinical Probe Measurements and Imaging Modalities in Chinese Subjects
ClinicalTrials.gov study NCT04655300. IPD Sharing: YES. Countries: 1. Publications: 0.
Patient Acceptance and Preference Among Screening Modalities for Detection of Barrett's Esophagus
ClinicalTrials.gov study NCT04301986. IPD Sharing: NO. Countries: 1. Publications: 0.
Different Sonographic Modalities and PET-CT in Pediatric Lymphoma
ClinicalTrials.gov study NCT05343676. IPD Sharing: Not stated. Countries: 0. Publications: 12.
Exploring the Impact of a Multi-modal Nutritional Intervention in Patients Undergoing Chemotherapy for Pancreatic Cancer (FEED Trial)
ClinicalTrials.gov study NCT06149546. IPD Sharing: YES. Countries: 1. Publications: 0.
Can Different Exercise Modalities Improve Esports Performance?
ClinicalTrials.gov study NCT07150312. IPD Sharing: NO. Countries: 0. Publications: 1.
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.