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2,292 results for “glioma”

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geo24/100

Vorasidenib and ivosidenib in IDH1-mutant low-grade glioma: a randomized, perioperative phase 1 trial

GEO Series GSE232312. Homo sapiens. 41 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2023View details →
geo24/100

H2A.Z histone variants facilitate HDACi-dependent removal of H3.3K27M mutant protein in paediatric high-grade glioma cells

GEO Series GSE232283. Homo sapiens. 47 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenMay 2024View details →
geo24/100

Diffuse glioma cells with perineural satellitosis invade by mediating metabolic reprogramming

GEO Series GSE126725. Mus musculus. 6 samples. Type: Expression profiling by array.

openGEO-OpenFeb 2020View details →
geo24/100

Spatial immune profiling defines a subset of human gliomas with functional tertiary lymphoid structures [GEOMX]

GEO Series GSE271255. Homo sapiens. 81 samples. Type: Other.

openGEO-OpenOct 2025View details →
geo24/100

Gene expression profiling of Glioma Stem Cells (GSCs) and their differentiated cell counterparts after MG132 treatment

GEO Series GSE62356. Homo sapiens. 4 samples. Type: Expression profiling by array.

openGEO-OpenOct 2014View details →
geo24/100

Genome wide maps of H3K4me3 and H3ac histone modifications in C6 rat glioma cells [Illumina]

GEO Series GSE46820. Rattus norvegicus. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenMay 2015View details →
geo24/100

The histone H3.3K27M mutation in pediatric glioma reprograms H3K27 methylation and gene expression

GEO Series GSE61586. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenSep 2014View details →
geo24/100

The oncolytic adenovirus Delta-24-RGD in combination with ONC201 displays a potent antitumor effect in pediatric high-grade glioma models [RNA-seqI]

GEO Series GSE243223. Homo sapiens. 52 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2024View details →
geo24/100

PRMT5 promotes growth of pediatric high grade glioma [bulk RNA-seq]

GEO Series GSE261512. Homo sapiens. 20 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2024View details →
geo24/100

Hypoxic stress dysregulates functions of glioma-associated myeloid cells through epigenomic and transcriptional programs [RNA-seq]

GEO Series GSE279536. Mus musculus. 38 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2025View details →
geo24/100

Neuronal activity promotes glioma growth

GEO Series GSE62563. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2017View details →
geo24/100

EZH2 inhibition as a targeted therapy for H3K27M mutant pediatric gliomas [ChIP-seq]

GEO Series GSE71225. Mus musculus; Homo sapiens. 13 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenAug 2017View details →
geo24/100

miRNA expression profile of Idh1 wild-type and mutant glioma initiating cells

GEO Series GSE119740. Mus musculus. 5 samples. Type: Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenAug 2019View details →
geo24/100

Combined epigenetic therapy with FACT and BET inhibitors remodels chromatin and disrupts oncogenic transcription in Diffuse Midline Glioma [Nascent RNA-Seq]

GEO Series GSE299509. Homo sapiens. 30 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2025View details →
geo24/100

BRAF V600E in Pediatric Low-Grade Gliomas: Exploring the Tumor Microenvironment and Immune Cell Infiltration dynamics in vivo.

GEO Series GSE252367. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2024View details →
geo24/100

Expression data from Glioma-Initiating Cells (GICs) cultured under hypoxia and normoxia

GEO Series GSE73556. Homo sapiens. 6 samples. Type: Expression profiling by array.

openGEO-OpenJan 2016View details →
zenodo24/100

1H HRMAS NMR dataset of glioma and control samples

<p>This repository contains the raw and processed 1H HRMAS NMR data to reproduce the results reported in the following preprint:&nbsp;Machine Learning Assisted Intraoperative Assessment of Brain Tumor Margins Using HRMAS NMR Spectroscopy (https://doi.org/10.1101/2020.02.24.20026955).</p>

opencc-by-4.0Jul 2020View details →
zenodo24/100

Temporal changes in treatment and late mortality and morbidity in adult survivors of childhood glioma: a report from the Childhood Cancer Survivor Study

<p><strong>Abstract:</strong></p> <p>Pediatric glioma therapy has evolved to delay or eliminate radiation for low-grade tumors. This study examined these temporal changes in therapy with long-term outcomes in adult survivors of childhood glioma. Among 2,501 5-year survivors of glioma in the Childhood Cancer Survivor Study diagnosed 1970&ndash;1999, exposure to radiation decreased over time. Survivors from more recent eras were at lower risk of late mortality (&ge;5 years from diagnosis), severe/disabling/life-threatening chronic health conditions (CHCs) and subsequent neoplasms (SNs). Adjusting for treatment exposure (surgery only, chemotherapy, or any cranial radiation) attenuated this risk (for example, CHCs (1990s versus 1970s), relative risk (95% confidence interval), 0.63 (0.49&ndash;0.80) without adjustment versus 0.93 (0.72&ndash;1.20) with adjustment). Compared to surgery alone, radiation was associated with greater than four times the risk of late mortality, CHCs and SNs. Evolving therapy, particularly avoidance of cranial radiation, has improved late outcomes for childhood glioma survivors without increased risk for late recurrence.</p>

opencc-by-4.0Feb 2024View details →
zenodo24/100

Unveiling Therapeutic Targets and Immunological Insights in Glioblastoma Through Analysis of Glioma-Associated Mesenchymal Stem Cells

<p>To analyze the binding affinities and interaction modes between the drug candidates and their targets, we employed the Autodock Vina software [21]. Molecular structures of the candidate drugs and targets of hub genes were retrieved from Pubchem (https://pubchem.ncbi.nlm.nih.gov/) and Protein Data Bank database (http://www.rcsb.org/), respectively.&nbsp;<span>In the analysis of docking, the files for all proteins and molecules were converted to PDBQT format. Water molecules were removed and polar hydrogen atoms were added. The grid box was positioned at the center to encompass the protein domain, allowing for unrestricted movement of molecules.</span></p>

openMar 2024View details →
zenodo24/100

EDEN2020 Human Brain MRI Datasets for Brain Glioma Patients

<p>The datasets available in this folder regard the acquisition of high-resolution MRI images of a cohort of 30 brain glioma adult patients acquired on a 3 Tesla Philips scanner at the Neuroradiology Unit and CERMAC&nbsp;<em>(Center of Excellence for High Field Magnetic Resonance)</em>, Vita-Salute San Raffaele University and IRCCS Ospedale San Raffaele, Milano, Italy. The acquisition is carried out in the context of the EU&rsquo;s Horizon EDEN2020 project as part of the work for&nbsp;<em>Deliverable D2.2 Human Brain Imaging Database</em>. Histopathological and molecular details of this cohort of patients are reported in the Patients&#39; Table included in the <em>Readme.md</em> file.&nbsp;</p> <p>The data includes:</p> <ul> <li>3D_FLAIR_Tra: Fluid‑Attenuated Inversion Recovery volumetric sequence acquired on the axial plane for morphological characterization of the lesion.&nbsp;</li> <li>raw_data_DTI_32: Diffusion Tensor Imaging raw data. This is a diffusion-weighted Spin Echo EPI single-shot pulse sequence acquired on the axial plane along 32 gradient directions at a b-value of 1000 s/mm<sup>2</sup>&nbsp;and one volume without diffusion-weighting (b0 image).</li> <li>Axial (AD), Radial (RD), Mean Diffusivity (MD) and Fractional Anisotropy maps&nbsp;derived from &#39;raw_data_DTI_32&#39; sequence&nbsp;using the Philips IntelliSpace Portal software platform, version 8.0 (Philips Healthcare, Best, The Netherlands) and saved using the &lsquo;_map_DTI_32_gray&#39; suffix.</li> <li>raw_data_NODDI: multi-compartmental dMRI sequence for advanced tractography and NODDI analyses, including an axial high angular resolution diffusion-weighted imaging (HARDI) acquisition along 60 gradient directions at a b-value of 3000 s/mm<sup>2&nbsp;</sup>a DTI acquisition along 35 directions at a b-value of 711 s/mm<sup>2</sup>&nbsp;and 11 volumes without diffusion-weighting (b0 images). Phase-encoding direction was anterior-to-posterior for all these acquisitions.</li> <li>B0_reverse: a sequence without diffusion-weighting having the same geometrical parameters of the &lsquo;raw_data_NODDI&rsquo; images,but acquired using a reversed phase-encoding direction&nbsp;(posterior-to-anterior). This volume allowed estimation and correction for susceptibility-induced distortions.</li> <li>SWI_axial: Susceptibility‑Weighted Imaging sequence acquired on the axial plane for detection of Intratumoral Susceptibility Signals (ITSS), microhemorrages and calcifications. Phase map and magnitude image are separated in two distinguished files, using the &lsquo;_ph&rsquo; suffix for phase maps.</li> <li>s3DI_MC_HR: three-dimensional high-resolution time of flight (TOF) MR angiography acquisition to visualize flow within the arterial vessel.&nbsp;</li> <li>Post-gadolinium T1_3D_PROSET_Sag:&nbsp;T1-weighted volumetric sequence acquired on the sagittal plane for morphological characterization of the lesions and detection of areas of contrast enhancement.</li> </ul> <p>Note that all MRI data files were converted from DICOM series using Chris Rorden&#39;s dcm2niiX version v1.0.20200331.</p>

restrictedDec 2020View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record