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431
datasets available to search
ShareScore release 0.9.0
Dataset results
431 results for “DECODER”
Drive with Your Brain: Personalized Prediction of Driving Behaviors with DR-EEG Decoding and Situational Embeddings
<p>These are the relevant codes for 'Drive with Your Brain: Personalized Prediction of Driving Behaviors with DR-EEG Decoding and Situational Embedding'. It consists of five parts, each containing a 'ReadMe.txt' instruction file. Please read the instructions before using it. It is worth noting to remember to change the file path in the code.</p><p> </p>
Drive with Your Brain: Personalized Prediction of Driving Behaviors with DR-EEG Decoding and Situational Embeddings
<p>These are the relevant codes for 'Drive with Your Brain: Personalized Prediction of Driving Behaviors with DR-EEG Decoding and Situational Embedding'. This dataset contains 14 folders. The content descriptions of these folders can be found in the 'ReadMe.txt' file, and each code file provides information about the input, output, and methods. It is important to note that the 'Data' folder is used to save the raw data, and other codes use loops to read data from the data list. There are several examples in the 'Data' folder. Please save driving data and EEG data according to the form of the examples. In addition, it also includes a compressed file that contains some of the data cases used in the test model. Please make sure to store the data in the specified format or modify the file paths accordingly when using the codes.</p>
Drive with Your Brain: Personalized Intelligent Driving with DR-EEG Decoding and Situational Embeddings
<p>This is the dataset for '<strong>Drive with Your Brain: Personalized Intelligent Driving with DR-EEG Decoding and Situational Embeddings</strong>'. This dataset mainly includes two parts: <strong>data </strong>and <strong>code</strong>.</p><p><strong>Data</strong></p><p>We used the car-following data of 133 drivers that collected through three driving simulation experiments. Detailed information and download links can be found in 'RawData. txt'.</p><p><strong>Code</strong></p><p>The main codes consist of 13 folders and a rar compressed file. A detailed description of each folder is provided in 'ReadMe. txt'. </p>
Drive with Your Brain: Personalized Intelligent Driving with DR-EEG Decoding and Situational Embeddings
<p>The implementation of the paper "Drive with Your Brain: Personalized Intelligent Driving with DR-EEG Decoding and Situational Embeddings".</p>
Decoding multicellular niche formation in the tumour microenvironment from nonspatial single-cell expression data
<p>Dataset related to article "Decoding multicellular niche formation in the tumour microenvironment from nonspatial single-cell expression data"</p> <p> </p> <p> </p>
OASIS EEG Dataset: Decoding the Neural Signatures of Valence and Arousal From Portable EEG Headset
<p>Emotion classification using electroencephalography (EEG) data and machine learning techniques have been on the rise in the recent past. However, past studies use data from medical-grade EEG setups with long set-up times and environment constraints. The images from the OASIS image dataset were used to elicit valence and arousal emotions, and the EEG data was recorded using the Emotiv Epoc X mobile EEG headset. We propose a novel feature ranking technique and incremental learning approach to analyze performance dependence on the number of participants. The analysis is carried out on publicly available datasets: DEAP and DREAMER for benchmarking. Leave-one-subject-out cross-validation was carried out to identify subject bias in emotion elicitation patterns. The collected dataset and pipeline are made open source. </p> <p>Code: <a href="https://github.com/rohitgarg025/Decoding_EEG">https://github.com/rohitgarg025/Decoding_EEG</a></p>
Parallel window decoding enables scalable fault tolerant quantum computation
<p>Dataset containing raw data presented in the publication <em>"Parallel window decoding enables scalable fault tolerant quantum computation"</em> as well as the stim circuits used to sample circuit-level noise.</p> <p> </p>
Drive with Your Brain: Personalized Prediction of Driving Behaviors with DR-EEG Decoding and Situational Embeddings
<p>These are the relevant codes for 'Drive with Your Brain: Personalized Prediction of Driving Behaviors with DR-EEG Decoding and Situational Embedding'. It consists of five parts, each containing a 'ReadMe.txt' instruction file. Please read the instructions before using it. It is worth noting to remember to change the file path in the code.</p>
Decoding the Replication Timing Program in Zebrafish: The Role of Rif1
GEO Series GSE225957. Danio rerio. 49 samples. Type: Other.
FeaSion Decodes the Regulatory Landscape and Functional Diversity of RNA Polymerase II CTD Phosphorylation
GEO Series GSE287315. Homo sapiens. 30 samples. Type: Expression profiling by high throughput sequencing.
Decoding CD4+ T cell transcriptome in giant cell arteritis: novel pathways and altered cross-talk with monocytes [methylation]
GEO Series GSE252021. Homo sapiens. 98 samples. Type: Methylation profiling by genome tiling array.
Decoding Expression Dynamics of Protein and Transcriptome at the Single Cell Level through Multi-Omics Sequencing in Paired Picoliter Chambers
GEO Series GSE186402. Mus musculus; Homo sapiens. 19 samples. Type: Expression profiling by high throughput sequencing; Other.
Decoding CD4+ T cell transcriptome in giant cell arteritis: novel pathways and altered cross-talk with monocytes [RNA-seq]
GEO Series GSE252020. Homo sapiens. 98 samples. Type: Expression profiling by high throughput sequencing.
‘Digital Reprogramming’ Decodes Epigenetic Barriers of Cell Fate Changes and Identifies p300 Inhibitors as Facilitators [ChIP-Seq]
GEO Series GSE285205. Xenopus laevis. 94 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
A regulator of RNA Polymerase III at tRNA genes revealed by locus-specific proteome decoding
GEO Series GSE227470. Saccharomyces cerevisiae. 32 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Decoding the gene promoters binding with BRD3 in LPS-primed THP1 monocytes
GEO Series GSE234162. Homo sapiens. 14 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Decoding the Protein Composition of Whole Nucleosomes with Nuc-MS
GEO Series GSE216732. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
‘Digital Reprogramming’ Decodes Epigenetic Barriers of Cell Fate Changes and Identifies p300 Inhibitors as Facilitators [CUT&RUN]
GEO Series GSE285202. Xenopus laevis. 16 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Decoding CD4+ T cell transcriptome in giant cell arteritis: novel pathways and altered cross-talk with monocytes
GEO Series GSE252024. Homo sapiens. 196 samples. Type: Expression profiling by high throughput sequencing; Methylation profiling by genome tiling array.
Retrieving high-resolution chromatin interactions and decoding enhancer regulatory potential in silico
GEO Series GSE161636. Homo sapiens; Mus musculus. 2 samples. Type: 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.