Skip to main content
Powered by ShareScore

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.

329

datasets available to search

ShareScore release 0.7.1

Reset

Dataset results

329 results for “histopathology”

Learn how ShareScore rates datasets ↗
ClinicalTrials.gov32/100

Study Correlation Between Blood, Tissue Gene Expression, Donor Derived Cell Free DNA and Histopathology in Kidney Transplant Recipients

ClinicalTrials.gov study NCT05811468. IPD Sharing: Not stated. Countries: 1. Publications: 4.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Human Kidney Histopathology in Obstructive Jaundice

ClinicalTrials.gov study NCT01090193. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Assessing the Agreement Between Endoscopic and Histopathological Diagnosis of Colorectal Sessile Serrated Lesions.

ClinicalTrials.gov study NCT06173297. IPD Sharing: NO. Countries: 1. Publications: 11.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Accuracy of aCETIC Acid to Predict Histopathology of Colonic Polyps

ClinicalTrials.gov study NCT04157803. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
dryad32/100

Hematoxylin-and-eosin-stained bladder urothelial cell carcinoma versus inflammation digital histopathology image dataset

Open the record for dataset details and reuse information.

publicFeb 2023View details →
dryad32/100

In-depth comparative toxicogenomics of glyphosate and Roundup herbicides: Histopathology, transcriptome and epigenome signatures, and DNA damage

Open the record for dataset details and reuse information.

publicOct 2021View details →
dryad32/100

Clinical and histopathological features of 81 cases of canine apocrine gland carcinoma of the anal sac

Open the record for dataset details and reuse information.

publicDec 2021View details →
zenodo28/100

Fig. 1 in Histopathological alterations in Astyanax bifasciatus (Teleostei: Characidae) correlated with land uses of surroundings of streams

Fig. 1. Area of study highlighted from the hydrographic map of the State of Paraná. Letters indicate the sampled streams: a. F1 Forest area (Lajeado Stream); b. F2 Forest area (Pedregulho Stream); c. R1 rural area (Cacula Stream); d. R2 rural area (Avenca Stream); e. U1 urban area (Aparecida Stream); f. U2 urban area (Adelaide Stream).

opencc-by-4.0Mar 2018View details →
zenodo28/100

Fig. 4 in Histopathological alterations in Astyanax bifasciatus (Teleostei: Characidae) correlated with land uses of surroundings of streams

Fig. 4. Canonical correspondence analysis (CCA) applied in all sampling points on the variables of frequency of histopathological alterations of gills and liver and environmental variables. Legend: canonical function (CF), percentage of area with vegetation (%V), percentage of agricultural area (%A), percentage of urban area (%U), turbidity (TU), conductivity (CO), temperature (TE), dissolved oxygen (DO), lamellar aneurysm (aneu), partial fusion of lamellae (fusa), lamellar hyperplasia (hipe), lamellar oedema (oede), cytoplasmic degeneration (dege), picnotic nucleus (nucp), nucleus in a lateral position (nucl), leukocyte infiltration (infi), cytoplasmic vacuolation (vacu), vascular congestion (cong), nuclear hypertrophy (hipn), melanomacrophages aggregates (mela), forest (f), rural (r), urban (u).

opencc-by-4.0Mar 2018View details →
dryad28/100

Data from: Histopathology of diffusion imaging abnormalities in cerebral amyloid angiopathy

Objective: we sought to determine the underlying mechanism for altered white matter diffusion tensor imaging (DTI) measures at the histopathologic level in patients with cerebral amyloid angiopathy (CAA). Methods: formalin-fixed intact hemispheres from nine CAA cases and two elderly controls were scanned at 3 tesla MRI, including a diffusion-weighted sequence. DTI measures (i.e. fractional anisotropy (FA) and mean diffusivity (MD)) and histopathology measures were obtained from two tracts: the anterior thalamic radiation (ATR) and inferior longitudinal fasciculus (ILF). Results: FA was reduced in both tracts and MD was increased in CAA cases compared to controls. Regional FA was significantly correlated with tissue rarefaction, myelin density, axonal density, and white matter microinfarcts. MD correlated significantly with tissue rarefaction, myelin density, and white matter microinfarcts, but not axonal density. FA and MD did not correlate with oligodendrocytes, astrocytes, or gliosis. Multivariate analysis revealed that tissue rarefaction (β=-0.32±0.12, p=0.009) and axonal density (β=0.25±0.12, p=0.04) were both independently associated with FA, whereas myelin density was independently associated with MD (β=-0.32±0.12, p=0.013). Finally, we found an association between increased MD in the frontal white matter and CAA severity in the frontal cortex (p=0.035). Conclusions: these results suggest that overall tissue loss, and in particular axonal and myelin loss, are major components underlying CAA-related alterations in DTI properties observed in living patients. The findings allow for a more mechanistic interpretation of DTI parameters in small vessel disease and for mechanism-based selection of candidate treatments to prevent vascular cognitive impairment.

opencc-zeroDec 2018View details →
dryad28/100

Data from: Correlations of behavioral deficits with brain pathology assessed through longitudinal MRI and histopathology in the HDHQ150/Q150 mouse model of Huntington's disease

A variety of mouse models have been developed that express mutant huntingtin (mHTT) leading to aggregates and inclusions that model the molecular pathology observed in Huntington's disease. Here we show that although homozygous HdhQ150 knock-in mice developed motor impairments (rotarod, locomotor activity, grip strength) by 36 weeks of age, cognitive dysfunction (swimming T maze, fear conditioning, odor discrimination, social interaction) was not evident by 94 weeks. Concomitant to behavioral assessments, T2-weighted MRI volume measurements indicated a slower striatal growth with a significant difference between wild type (WT) and HdhQ150 mice being present even at 15 weeks. Indeed, MRI indicated significant volumetric changes prior to the emergence of the "clinical horizon" of motor impairments at 36 weeks of age. A striatal decrease of 27% was observed over 94 weeks with cortex (12%) and hippocampus (21%) also indicating significant atrophy. A hypothesis-free analysis using tensor-based morphometry highlighted further regions undergoing atrophy by contrasting brain growth and regional neurodegeneration. Histology revealed the widespread presence of mHTT aggregates and cellular inclusions. However, there was little evidence of correlations between these outcome measures, potentially indicating that other factors are important in the causal cascade linking the molecular pathology to the emergence of behavioral impairments. In conclusion, the HdhQ150 mouse model replicates many aspects of the human condition, including an extended pre-manifest period prior to the emergence of motor impairments.

opencc-zeroDec 2016View details →
dryad28/100

Data from: High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: application to invasive breast cancer detection

Precise detection of invasive cancer on whole-slide images (WSI) is a critical first step in digital pathology tasks of diagnosis and grading. Convolutional neural network (CNN) is the most popular representation learning method for computer vision tasks, which have been successfully applied in digital pathology, including tumor and mitosis detection. However, CNNs are typically only tenable with relatively small image sizes (200x200 pixels). Only recently, Fully convolutional networks (FCN) are able to deal with larger image sizes (500x500 pixels) for semantic segmentation. Hence, the direct application of CNNs to WSI is not computationally feasible because for a WSI, a CNN would require billions or trillions of parameters. To alleviate this issue, this paper presents a novel method, High-throughput Adaptive Sampling for whole-slide Histopathology Image analysis (HASHI), which involves: i) a new efficient adaptive sampling method based on probability gradient and quasi-Monte Carlo sampling, and, ii) a powerful representation learning classifier based on CNNs. We applied HASHI to automated detection of invasive breast cancer on WSI. HASHI was trained and validated using three different data cohorts involving near 500 cases and then independently tested on 195 studies from The Cancer Genome Atlas. The results show that (1) the adaptive sampling method is an effective strategy to deal with WSI without compromising prediction accuracy by obtaining comparative results of a dense sampling (~6 million of samples in 24 hours) with far fewer samples (~2,000 samples in 1 minute), and (2) on an independent test dataset, HASHI is effective and robust to data from multiple sites, scanners, and platforms, achieving an average Dice coefficient of 76%.

opencc-zeroDec 2017View details →
zenodo28/100

Supplementary figure 1. Histopathological analysis of the pseudobranch tissues in Atlantic salmon following SAV3 challenge (by cohabitation) at 16 dpc showing no histological difference between (A) Control fish (non infected) and (B) SAV3-infected fish from HD group at 16 dpc.

Open the record for dataset details and reuse information.

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

Histopathology and Body weight data of 14 days limit test

Open the record for dataset details and reuse information.

opencc-by-4.0Mar 2024View details →
zenodo28/100

Multimodal Features Integration: Genomics and Histopathological images for colon cancer stage prediction and survival stratification

<p>File Description</p> <p>clinical_patient_coad.xls - Clinical data for colon cancer patients<br>COAD__geneExp.xls - RNA data for colon cancer patients<br>COAD__methylation_450__TSS200-TSS1500.xls - DNA methylation data for colon cancer patients<br>COAD__miRNAExp__ReadCount.xls - miRNA data for colon cancer patients<br>COAD_DX_STG1.tar.gz - Image tiles for stage 1 colon cancer patients<br>COAD_DX_STG2.tar.gz - Image tiles for stage 2 colon cancer patients<br>COAD_DX_STG3.tar.gz - Image tiles for stage 3 colon cancer patients<br>COAD_DX_STG4.tar.gz - Image tiles for stage 4 colon cancer patients</p>

opencc-by-4.0Mar 2024View details →
zenodo28/100

3D virtual Histopathology of Cardiac Tissue from Covid-19 Patients based on Phase-Contrast X-ray Tomography

<p>X-ray phase-contrast tomography datasets of formalin fixed paraffin embedded unstained cardiac tissue from Covid-19 patients as well as from control tissue.</p> <p>For each group one overview scan of the entire biopsy (3.5mm cross section) from binning and stitching different tomograms (PB bin2, voxel size: 1.3&micro;m) as well as the respective laboratory data (LJ, voxel size: 2&micro;m, tissue masked) and a cone-beam zoom tomogram recorded with waveguide illumination (WG, voxel size: 159 nm) is uploaded. Further datasets can be provided on request.</p> <p>The data has been recorded at the institute for X-ray physics (G&ouml;ttingen, Germany) and DESY at the GINIX instrument, beamline P10 of the PETRAIII storage ring (Hamburg, Germany).</p> <p>raw format, voxel numbers given in filename, single (32bit real)</p>

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

Supplementary material - Broadband Stimulated Raman Imaging based on Multi channel Lock-in Detection for Spectral Histopathology

<p>Supplementary material</p>

opencc-by-4.0Jun 2022View details →
zenodo28/100

His-MMDM: Multi-domain and Multi-omics Translation of Histopathology Images with Diffusion Models

Open the record for dataset details and reuse information.

opencc-by-4.0Jul 2024View details →
zenodo28/100

His-MMDM: Multi-domain and Multi-omics Translation of Histopathology Images with Diffusion Models

Open the record for dataset details and reuse information.

opencc-by-4.0Jul 2024View details →
zenodo28/100

His-MMDM: Multi-domain and Multi-omics Translation of Histopathology Images with Diffusion Models

Open the record for dataset details and reuse information.

opencc-by-4.0Jul 2024View details →

ScienceDex guides

Understand access before you commit

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

Compare curated 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.

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