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Dataset results
298 results for “Multi-modal”
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.
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>
Effect of Cold Therapy Implementation on Multi-modal Postoperative Pain Management
ClinicalTrials.gov study NCT03129464. IPD Sharing: NO. Countries: 1. Publications: 0.
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.
Pilot Study of Multi-Modality Imaging in Patients With Hematologic Malignancies
ClinicalTrials.gov study NCT02042924. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Sentinel - Triaging Acute Breathlessness Using Multi-Modal Biomarkers
ClinicalTrials.gov study NCT05304494. IPD Sharing: UNDECIDED. Countries: 0. Publications: 5.
Phase 2 Evaluation of Multi-modality Algorithm for Non-metastatic Adenocarcinoma of Pancreas or Ampulla
ClinicalTrials.gov study NCT02626520. IPD Sharing: YES. Countries: 1. Publications: 0.
Emergence Agitation and Pain Scores in Pediatrics When Comparing Single-modal vs Multi-modal Analgesia for ENT Surgery
ClinicalTrials.gov study NCT03062488. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluating the Impact of a 12-month Multi-Modal Lifestyle Management Intervention on Disease Relevant Biomarkers
ClinicalTrials.gov study NCT06987708. IPD Sharing: Not stated. Countries: 0. Publications: 152.
Data from: Female preference for multi-modal courtship: multiple signals are important for male mating success in peacock spiders
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Data from: Multi-modal signal evolution in birds: re-examining a standard proxy for sexual selection
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Integrative single-cell multi-modal analyses reveal detailed spatial cellular organization directing human heart morphogenesis
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Sex-driven modifiers of Alzheimer’s risk: a multi-modality brain imaging study
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Pentoxifylline and Norcantharidin Synergistically Suppress Melanoma Growth in Mice: A Multi-Modal In Vivo and In Silico Study
GEO Series GSE301760. Mus musculus. 23 samples. Type: Expression profiling by high throughput sequencing.
Multi-modal analysis of the aging mouse lung at cellular resolution
GEO Series GSE124872. Mus musculus. 41 samples. Type: Expression profiling by high throughput sequencing.
Single-cell multi-modal profiling of proteins and chromatin accessibility using PHAGE-ATAC [Intracellular_GFP]
GEO Series GSE172921. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Other.
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.