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1,389
datasets available to search
ShareScore release 0.9.0
Dataset results
1,389 results for “multimodality”
Multimodal human thymic profiling reveals trajectories and cellular milieu for T agonist selection
GEO Series GSE207206. Homo sapiens. 28 samples. Type: Expression profiling by high throughput sequencing.
Multimodal delineation of a layer of effector function among exhausted CD8 T cells in tumors [CITE-seq]
GEO Series GSE295704. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing; Other; Third-party reanalysis.
Single-Cell Multimodal Profiling Highlights Persistent Aortic Smooth Muscle Cell Changes in Diabetic Mice Despite Glycemic Control [scATAC-seq]
GEO Series GSE294115. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.
Multimodal spatiotemporal transcriptomic resolution of embryonic palate osteogenesis [multiome RNAseq+ATACseq]
GEO Series GSE245997. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Multimodal stimulation screens reveal unique and shared regulators limiting T-cell fitness [IntenseAcuteChronic_screen]
GEO Series GSE251758. Mus musculus. 2 samples. Type: Other.
A multimodal assay identifies optimized binders for a bicistronic CAR against GPC2 OR CD276 to overcome heterogeneity in Neuroblastoma
GEO Series GSE181437. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
Multimodal RNA-seq using single-strand, double-strand, and circligase-based capture yields a refined and extended description of the C. elegans transcriptome
GEO Series GSE22410. Caenorhabditis elegans. 16 samples. Type: Expression profiling by high throughput sequencing.
Multimodal remodeling of epigenetic and enhancer networks shapes the transcriptional landscape of beige adipocytes
GEO Series GSE293136. Homo sapiens. 66 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other.
Multimodal decoding of human liver regeneration [snrna_mouse]
GEO Series GSE223558. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.
Deep Learning-Based Multimodal Clustering Model for Endotyping and Post-Arthroplasty Response Classification using Knee Osteoarthritis Subject-Matched Multi-Omic Data
GEO Series GSE222979. Homo sapiens. 1242 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Single-Cell Multimodal Profiling Highlights Persistent Aortic Smooth Muscle Cell Changes in Diabetic Mice Despite Glycemic Control
GEO Series GSE294237. Mus musculus. 1 samples. Type: Other.
Identification and multimodal characterization of a specialized epithelial cell type associated with Crohn's Disease
GEO Series GSE266546. Homo sapiens. 170 samples. Type: Expression profiling by high throughput sequencing.
Single-cell multimodal profiling of monocytes reveals diverse phenotypes and alterations linked to cardiovascular disease risks
GEO Series GSE269335. Homo sapiens. 118 samples. Type: Expression profiling by high throughput sequencing.
Multimodal human thymic profiling reveals trajectories and cellular milieu for T agonist selection [Spatial transcriptomics]
GEO Series GSE207205. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Multimodal Genome-wide Survey of Progressing and Non-progressing Breast Ductal Carcinoma In-Situ [RNA-seq]
GEO Series GSE281303. Homo sapiens. 123 samples. Type: Expression profiling by high throughput sequencing.
Multimodal enhancement of remyelination by exercise with a pivotal role for oligodendroglial PGC1a
GEO Series GSE118592. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing.
Multimodal delineation of a layer of effector function among exhausted CD8 T cells in tumors
GEO Series GSE295725. Homo sapiens. 98 samples. Type: Expression profiling by high throughput sequencing.
STAMP: Single-Cell Transcriptomics Analysis and Multimodal Profiling through Imaging [Merscope]
GEO Series GSE301544. Homo sapiens; synthetic construct. 12 samples. Type: Other.
Audiovisual Analysis for Recognising Frustration during Game-Play: Introducing the Multimodal Game Frustration Database
<p>Automatic recognition of frustration, by analysing facial and vocal expressions, can help user experience designers to identify interaction obstacles. To encourage the development of automated systems such as these, we present a novel audiovisual database: the Multimodal Game Frustration Database (MGFD), consisting of ca. 5 hours of audiovisual data, collected from 67 Chinese students speaking in English. For data collection, we developed ‘Crazy Trophy’, a Wizard-of-Oz voice activated webgame designed with a variety of usability problems and aimed to induce increasing amounts of frustration. We also present a baseline for binary multimodal frustration classification (frustration vs no-frustration). For this, we compare the performance of a conventional method, Support Vector Machine classifier, and a state-of-the-art method utilising Long Short-Term Memory Recurrent Neural Networks (LSTM-RNN), extracting both audio (Mel-frequency Cepstral Coefficients) and video (facial action units) features. Using LSTM-RNN and a feature-based multimodel fusion strategy, the best result acheived for the baseline was 60.3 % UAR.</p>
Multimodal Vision-Audio-Language Dataset
<p>The Multimodal Vision-Audio-Language Dataset is a large-scale dataset for multimodal learning. It contains 2M video clips with corresponding audio and a textual description of the visual and auditory content. The dataset is an ensemble of existing datasets and fills the gap of missing modalities.</p><p>Details can be found in the attached report.</p><h3><strong>Annotation</strong></h3><p>The annotation files are provided as Parquet files. They can be read using Python and the <i>pandas</i> and <i>pyarrow</i> library.</p><p>The split into train, validation and test set follows the split of the original datasets.</p><h4><strong>Installation</strong></h4><blockquote><p>pip install pandas pyarrow</p></blockquote><h4><strong>Example</strong></h4><blockquote><p>import pandas as pd<br>df = pd.read_parquet('annotation_train.parquet', engine='pyarrow')<br>print(df.iloc[0])</p></blockquote><blockquote><p>dataset AudioSet </p><p>filename train/---2_BBVHAA.mp3</p><p>captions_visual [a man in a black hat and glasses.]</p><p>captions_auditory [a man speaks and dishes clank.]</p><p>tags [Speech]</p></blockquote><h4><strong>Description</strong></h4><p>The annotation file consists of the following fields:<br><br><i>filename</i>: Name of the corresponding file (video or audio file)<br><i>dataset</i>: Source dataset associated with the data point<br><i>captions_visual</i>: A list of captions related to the visual content of the video. Can be NaN in case of no visual content<br><i>captions_auditory</i>: A list of captions related to the auditory content of the video<br><i>tags</i>: A list of tags, classifying the sound of a file. It can be NaN if no tags are provided</p><h3><strong>Data files</strong></h3><p>The raw data files for most datasets are not released due to licensing issues. They must be downloaded from the source. However, due to missing files, we provide them on request. Please contact us at schaumloeffel@em.uni-frankfurt.de</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.