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.
27
datasets available to search
ShareScore release 0.9.0
Dataset results
27 results for “Encoding models”
Local Delivery of mRNA Encoding Cytokines Promotes Antitumor Immunity and Tumor Eradication Across Multiple Preclinical Tumor Models
GEO Series GSE179738. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Gene Model 129 (Gm129) Encodes a Novel Transcriptional Repressor that Modulates Circadian Gene Expression
GEO Series GSE53828. Mus musculus. 5 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Studies of Small DNA Virus Encoded Oncogenes in Viral Carcinogenesis Using Laboratory Model Systems
ClinicalTrials.gov study NCT03188315. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Differential gene expression in a mouse model for pediatric high grade glioma encoding for H3.3-G34R mutation
GEO Series GSE160452. Mus musculus. 14 samples. Type: Expression profiling by high throughput sequencing.
RNA -sequencing of high grade glioma (HGG) mouse cells encoding for H3.3-G34R vs H3.3-WT histones, derived from a Sleeping beauty based-genetically engineered mouse model
GEO Series GSE182069. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
ChIP-sequencing of high grade glioma (HGG) mouse cells encoding for H3.3-G34R vs H3.3-WT histones, derived from a Sleeping beauty based-genetically engineered mouse model.
GEO Series GSE161503. Mus musculus. 36 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Neural Encoding Models of Olfaction (NEMO) dataset
<p>This dataset constitutes files from a precision fMRI imaging experiment in which 18 hours of fMRI data/subject were collected from 3 human subjects (S1-3). In this experiment, 160 monomolecular odors were presented in 4 sets of 40 odors. Each set was presented in 3 different scanning sessions, and the dataset was collected over 12 separate sessions. Each session was further conducted over four runs. Each odor was presented 27-30 for each subject. Ratings of odors to perceptual ratings were also acquired during the scanning sessions. For S2 and S3, additional perceptual ratings were acquired outside the scanner.</p> <p>The dataset consists of zip files of .nii images, behavioral ratings, breathing/respiratory data, and uncompressed and defaced T1 images for each subject.</p> <p>File Description:</p> <ol> <li>s<>_imaging.zip: *nii files containing unprocessed BOLD data while odors were presented. <> Corresponds to the 3 subjects S01, S02, S03. It also contains whole brain images useful in coregistering the BOLD data to anatomical T1.</li> <li>s<>_behavior.zip: <ol> <li>Unprocessed Matlab (.mat) datasets of odors delivered during the scans. Each file also contains perceptual ratings in response to odors. The time series for the raw behavioral data is not in alignment with BOLD data.</li> <li>For S2 and S3, additional ratings acquired outside the scanner are in the folder <behavior_task>.</li> </ol> </li> <li>s<>_breathing.zip: Unprocessed breathing/sniffing data in .mat format. It also contains information to align behavioral and scanning time series.</li> <li>s<>_defaced.nii: Defaced anatomical T1 images for each subject.</li> </ol> <p>For a detailed description of data acquisition, scanning parameters, and the experimental design, please refer to the publication. For scripts to analyze this dataset and further documentation, please refer to the GitHub repository. To download this dataset, please submit a guest access request below.<br>To see how to file a guest access please see: <a href="https://help.zenodo.org/docs/share/access-requests/request-access/#guest">Guest Access Help</a></p> <p>Github: https://github.com/viveksgr/NEMO_scripts<br>All queries must be directed to:<br>Vivek Sagar at sgr.vivek@gmail.com</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.