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136 results for “Diffusion models”

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zenodo28/100

Precise measurements of chromatin diffusion dynamics by modeling using Gaussian processes (T1T2 Anchor)

<p>Microscopy movies corresponding to T1-T2 anchor cell lines of publication (add DOI when available).</p>

opencc-by-4.0Aug 2021View details →
zenodo28/100

Precise measurements of chromatin diffusion dynamics by modeling using Gaussian processes (T2T3 Anchor)

<p>Microscopy movies corresponding to T2-T3 anchor cell lines of publication (add DOI when available).</p>

opencc-by-4.0Aug 2021View details →
zenodo28/100

Martingale Diffusion Models -- Checkpoints

<p>Pre-trained models for the paper Martingale Diffusion.</p>

opencc-by-4.0May 2023View details →
zenodo28/100

Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models

<h2>[Update] Looking for a larger unsafe image dataset? We publish a new dataset named UnsafeBench on Hugging Face. Take a look at&nbsp;<a href="https://huggingface.co/datasets/yiting/UnsafeBench">here</a>!</h2> <p>This dataset used in the paper&nbsp; <a href="https://arxiv.org/pdf/2305.13873.pdf">https://arxiv.org/pdf/2305.13873.pdf</a>&nbsp;contains four prompt sets and one image set.</p> <p>The four prompt sets were used to query Text-to-Image models and generate images for safety assessment. These sets include three&nbsp;harmful prompt sets&nbsp;and one harmless prompt&nbsp;set. The harmful prompts originate from different sources and contain&nbsp;various unsafe concepts, such as sexually explicit, violent, disturbing, hateful, and political content.</p> <p><strong>Prompt Sets</strong>:</p> <ul> <li>4chan Prompts: Harmful</li> <li>Lexica Prompts: Harmful</li> <li>Template Prompts: Harmful</li> <li>COCO Prompts: Harmless</li> </ul> <p><strong>Image Dataset</strong>:</p> <p>This dataset consists of 800 images, which were randomly selected from all the generated images from Text-to-Image models.</p> <ul> <li>Safe: 580 images</li> <li>Sexually Explicit: 48 images</li> <li>Violent: 45 images</li> <li>Disturbing: 68 images</li> <li>Hateful: 35 images</li> <li>Political: 50 images</li> </ul>

openAug 2023View details →
ClinicalTrials.gov28/100

Realistic in Generation of HEp-2 Cell Images Using Latent Diffusion Models: a Multi-center Visual Turing Test

ClinicalTrials.gov study NCT06542783. IPD Sharing: NO. Countries: 0. Publications: 6.

closedIPD-NOFeb 2026View details →
dryad28/100

Bayesian inference of tree species using diffusion models: tabulated posterior statistics for SNAPP and SNAPPER analyses

Open the record for dataset details and reuse information.

publicSep 2020View details →
dryad28/100

Data from: A prediction model of compressor with variable geometry diffuser based on elliptic equation and Partial Least Squares

Open the record for dataset details and reuse information.

publicDec 2017View details →
geo24/100

Efficacy of BET protein proteolysis targeted chimera-based combinations against novel patient-derived models of Richter Transformation-Diffuse Large B-Cell Lymphoma [RNA-Seq]

GEO Series GSE154462. Homo sapiens. 27 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2021View details →
geo24/100

Primary murine high-grade glioma cells derived from RCAS/tv-a diffuse glioma model reprogram naïve T cells into immunosuppressive regulatory T lymphocytes.

GEO Series GSE274163. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2025View details →
geo24/100

Transcriptional profiling of diffuse large B-cell lymphoma mouse models

GEO Series GSE197693. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2023View details →
geo24/100

The oncolytic adenovirus Delta-24-RGD in combination with ONC201 induces a potent antitumor response in pediatric high-grade and diffuse midline glioma models

GEO Series GSE255972. Mus musculus; Homo sapiens. 64 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2024View details →
geo24/100

The oncolytic adenovirus Delta-24-RGD in combination with ONC201 induces a potent antitumor response in pediatric high-grade and diffuse midline glioma models [RNA-seqII]

GEO Series GSE255971. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2024View details →
geo24/100

Characterizing Influence of rCHOP Treatment on Diffuse Large B-Cell Lymphoma Microenvironment through In Vitro Microfluidic Spheroid Model

GEO Series GSE240989. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2023View details →
geo24/100

Synergistic Tumor Suppressor Activity of E-cadherin and p53 in a Conditional Mouse Model for Diffuse-Type Gastric Cancer

GEO Series GSE25302. Mus musculus. 3 samples. Type: Expression profiling by array.

openGEO-OpenDec 2011View details →
dryad24/100

Data from: Diffusion tensor imaging in patients with glioblastoma multiforme using the supertoroidal model

Purpose: Diffusion Tensor Imaging (DTI) is a powerful imaging technique that has led to improvements in the diagnosis and prognosis of cerebral lesions and neurosurgical guidance for tumor resection. Traditional tensor modeling, however, has difficulties in differentiating tumor-infiltrated regions and peritumoral edema. Here, we describe the supertoroidal model, which incorporates an increase in surface genus and a continuum of toroidal shapes to improve upon the characterization of Glioblastoma multiforme (GBM). Materials and Methods: DTI brain datasets of 18 individuals with GBM and 18 normal subjects were acquired using a 3T scanner. A supertoroidal model of the diffusion tensor and two new diffusion tensor invariants, one to evaluate diffusivity, the toroidal volume (TV), and one to evaluate anisotropy, the toroidal curvature (TC), were applied and evaluated in the characterization of GBM brain tumors. TV and TC were compared with the mean diffusivity (MD) and fractional anisotropy (FA) indices inside the tumor, surrounding edema, as well as contralateral to the lesions, in the white matter (WM) and gray matter (GM). Results: The supertoroidal model enhanced the borders between tumors and surrounding structures, refined the boundaries between WM and GM, and revealed the heterogeneity inherent to tumor-infiltrated tissue. Both MD and TV demonstrated high intensities in the tumor, with lower values in the surrounding edema, which in turn were higher than those of unaffected brain parenchyma. Both TC and FA were effective in revealing the structural degradation of WM tracts. Conclusions: Our findings indicate that the supertoroidal model enables effective tensor visualization as well as quantitative scalar maps that improve the understanding of the underlying tissue structure properties. Hence, this approach has the potential to enhance diagnosis, preoperative planning, and intraoperative image guidance during surgical management of brain lesions.

opencc-zeroDec 2015View details →
ClinicalTrials.gov24/100

Development and Validation Phase of Diffusion Tensor Imaging and Arterial Spin Labelling at 3 Tesla Using a Long-term Effort Model Applicable to Skeletal Muscle Characterization.

ClinicalTrials.gov study NCT02018718. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

A Novel Prognostic Model of NPI for Risk-Predicting and Clinical Decision-making in Diffuse Large B-Cell Lymphoma in the Rituximab Era

ClinicalTrials.gov study NCT04624971. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad24/100

Data from: Diffusion tensor imaging in patients with glioblastoma multiforme using the supertoroidal model

Open the record for dataset details and reuse information.

publicDec 2016View details →
geo24/100

Ethanol increases diffuse amyloid plaque load and impairs memory in the 5xFAD mouse model of Alzheimer’s disease

GEO Series GSE301393. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2025View details →
geo24/100

Generation of diffuse intrinsic pontine glioma mouse models by brainstem targeted in utero electroporation

GEO Series GSE128807. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2019View details →

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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