RadBioNet (Radiation Biology Network) is a curated database and interactive platform supporting the global radiation oncology research community.
The platform serves as a central hub for collecting, visualizing, and exploring factors associated with radiation sensitivity and resistance in cancer, supporting the global radiation oncology research community.
An AI assistant specialized in radiation biology. Ask questions about radiation sensitivity, resistance mechanisms, treatment outcomes, or any topic covered in the RadBioNet database.
Supports local Ollama models or OpenAI-compatible APIs. Configure via the gear icon above the chat panel.
This page collects the main publicly available or application-based data resources across radiotherapy, radiation physics, and radiobiology, so that researchers can find them in one place. All resources are maintained by third parties and are not RadBioNet's own data .
Directory last verified: June 2026. Access policies, size, and licensing of each resource may change at any time — always confirm on the resource's own website before use.
The US National Cancer Institute's (NCI) cancer-research data cloud, which connects imaging, genomic, proteomic, and other data nodes under one roof and provides a cloud-based analysis environment. It includes the Imaging Data Commons (IDC), Genomic Data Commons (GDC), Proteomic Data Commons (PDC), and others.
Mostly open access; some controlled data requires dbGaP authorization.
The imaging node of CRDC, which integrates and cloud-hosts a large share of TCIA's imaging (including DICOM-RT) for direct browser- and cloud-based viewing, querying, and analysis.
Free and public, no application required; cloud compute supported.
NCI's population-based cancer registry database covering incidence, mortality, and long-term survival/follow-up — a key source for radiotherapy outcomes and epidemiology research.
Clinical and survival data on millions of cases across multiple US registries. Summary statistics free and public; case-level research requires signed data-use agreement.
The central public oncology imaging archive, organized into 'collections.' Many collections include full DICOM-RT files — structure sets (RTSTRUCT), dose (RTDOSE), and plans (RTPLAN) — and are often paired with clinical outcomes, genomics, and expert annotations.
Hundreds of collections spanning many tumor types and modalities (CT/MRI/PET, etc.). Free public download, most under CC BY licensing.
Selected radiotherapy-relevant TCIA collections:
NSCLC-Radiomics — NSCLC CT with GTV and OAR contours; a classic radiomics dataset. Head-Neck / HNSCC series — head-and-neck cases with planning CT, structure sets, and dose. GLIS-RT — glioma segmentation for radiotherapy. Pancreatic-CT-CBCT-SEG — breath-hold CT and CBCT with expert OAR segmentations. Brain-TR-GammaKnife — Gamma Knife brain-metastasis MRI with paired DICOM-RT.
Public data from the AAPM 2020 knowledge-based planning challenge: ~340 head-and-neck IMRT plans (CT, structures, dose). One of the most widely used benchmarks in dose prediction.
Free via the challenge's GitHub repository.
The AAPM 2025 'Generalizable Dose Prediction for Heterogeneous Multi-cohort and Multi-site Radiotherapy Planning' challenge dataset — over ten times larger than existing public plan datasets, with a DICOM version also provided.
Free via the challenge platform and GitHub (registration).
Entry point for AAPM's medical-physics challenges over the years, including RT-MAC (head-and-neck MR auto-segmentation), OpenKBP, lung target tracking (MATCH), and other radiotherapy tasks and datasets.
Most challenge data is free; some requires registration or accepting terms.
A general platform for medical-imaging AI challenges and datasets, covering many segmentation, detection, and registration tasks, some radiotherapy-related.
Free registration; dataset access varies by challenge.
A free oncology clinical-trial 'library-laboratory' that shares de-identified patient-level data from Phase II/III trials, with free analysis tools provided.
Hundreds of studies and over 100,000 patient lives. Free after registration; no research proposal required.
A controlled-access repository run by NCI in partnership with Project Data Sphere, centrally storing and sharing patient-level datasets generated by the US National Clinical Trials Network (NCTN).
Controlled access; requires a data request and approval.
The largest clinical-trials registry, where you can search protocols, eligibility criteria, sample sizes, and some results. Many radiotherapy trial protocols and plan-QA details can be found here.
Free and public, no registration.
Cross-organization platforms for sharing clinical-trial data (including CSDR, YODA, etc.), covering controlled-access patient-level data from many industry-sponsored trials.
Controlled access; typically requires a research proposal and approval.
'Quantitative Analyses of Normal Tissue Effects in the Clinic' — the foundational compilation of organ dose–volume limits for conventional fractionation, still a primary reference for clinical planning.
'Hypofractionated Treatment Effects in the Clinic' — dose–response and limits for hypofractionated regimens such as SBRT/SRS, and also covers tumor control probability (TCP) for several sites.
'Pediatric Normal Tissue Effects in the Clinic' — compiled by 150+ experts across 18 organ-specific working groups, focused on dose–volume–risk relationships in pediatric radiotherapy.
The historic classic tables of organ tolerance doses, cited thousands of times and the origin of the work above. All of the above are journal publications (some open access, some by subscription); the constraint tables are widely reproduced in reviews and treatment-planning systems.
A free, online, case-based interactive contouring atlas with 3D scrollable imaging and contours, compiling consensus recommendations by disease site and OAR, updated regularly.
Free, requires a (free) account; web-based only, no downloads.
A series of consensus contouring atlases from NRG (formerly RTOG) — e.g., male/female pelvic normal tissue, upper-abdominal organs, hippocampus — used to standardize contouring for clinical trials.
Free on the official site; some items require a free login.
A multi-institution (DAHANCA/EORTC/GORTEC/NRG, etc.) consensus for head-and-neck OAR delineation, adopted as the standard by many auto-segmentation datasets and trials.
The standardized nomenclature for radiotherapy structures and dose — an important foundation for cross-institution data integration and interoperability.
This category aligns most closely with RadBioNet's radiobiology focus.
An international collaboration founded in 2009 and supported by NCI, pooling multi-center cohorts to study genetic susceptibility (SNPs, etc.) to radiotherapy toxicity, with extensive work across prostate, breast, lung, head-and-neck, and other cancers.
Through collaborative research; data is mostly shared via member cohorts and partnerships.
An RGC-led prospective project that collected standardized clinical, biological, and genotype data for ~5,000–5,300 lung/prostate/breast cancer patients, with a centralized database and linked biobank, used to validate predictive models and biomarkers for radiotherapy toxicity.
Centralized database and biobank, available via application/collaboration.
A comprehensive database of radiopharmaceuticals, covering therapeutic and diagnostic radioactive drugs, their isotopes, targeting mechanisms, and clinical applications. Developed by the Innovative Drug Research and Bioinformatics Lab (IDRBLab) at Zhejiang University.
Multi-omics characterization (genomic, epigenomic, transcriptomic, proteomic) of 20,000+ samples across 33 tumor types, with clinical and survival data; accessed through the GDC Data Portal with built-in analysis tools.
2.5+ PB of multi-omics data. Open-access data free to download; controlled data requires dbGaP authorization.
A portal for visualizing and exploring cancer genomics data (including TCGA and many study cohorts), well suited to quick queries of gene alterations and clinical associations.
Free, web-based, no registration.
The proteomic node of CRDC, hosting CPTAC and other clinical proteogenomic data.
A database of photon cross sections and mass attenuation coefficients for elements, compounds, and mixtures.
Free online query.
Stopping-power and range tables for electrons, protons, and helium ions — a common reference for particle therapy and dosimetry.
Free online query.
International authoritative standards for radiation quantities, dosimetry, and protection. ICRP offers many free PDFs; ICRU reports are generally paid publications.
Evaluated nuclear data libraries used for neutron and other particle transport in advanced Monte Carlo modeling.
A free, open-source platform for medical-image visualization and analysis; the SlicerRT extension adds nearly 20 radiotherapy modules (DICOM-RT read/write, deformable registration, dose comparison, etc.). Cross-platform (Windows/Mac/Linux).
Open-source (BSD).
An open-source multimodality dose-calculation and inverse-planning toolkit supporting photons, protons, and carbon ions, with bundled CORT example patient data. Runs in MATLAB or free under Octave.
Open-source (GPL v3). Actively developed.
A classic open-source radiotherapy research platform for importing, analyzing, and comparing plans, supporting reproducible algorithm development. Written in MATLAB.
Open-source.
A newer open-source treatment planning system, written in Python, focused on proton therapy and research use.
Open-source.
An open-source toolkit for image registration and DICOM-RT conversion, integrated by SlicerRT and others.
Open-source (BSD).
The open-source standard library for radiomics feature extraction (IBSI-aligned), extracting ~1,500 features from images and masks, with a 3D Slicer front-end extension.
Open-source (3-clause BSD).
A lightweight Python library for parsing DICOM-RT and independently computing DVHs and dose data — well suited to scripted analysis.
Open-source.
An open-source application that imports DICOM-RT plan data into a SQL database, providing plan comparison, benchmarking, outcome prediction, and a web-based interface.
Open-source.
Geant4
— CERN's general-purpose particle-transport toolkit; open-source and free.
TOPAS
— A Geant4-based wrapper aimed at proton/particle therapy; free for research use (registration required).
GATE
— Geant4-based, for imaging and dosimetry simulation; open-source.
EGSnrc
— The Canadian NRC's electron–photon transport system (including BEAMnrc linac modeling); open-source and free.
MCNP / PENELOPE
— Controlled distribution; license must be requested via RSICC / NEA.
Every entry records its access method and whether an application is required. Controlled-access resources (NCTN, Vivli, REQUITE, GDC controlled tier, etc.) change their application requirements and timelines fairly often — always confirm on the resource's own website before use.
RadBioNet (Radiation Biology Network) is a curated database and interactive platform supporting the global radiation oncology research community.
Our mission is to provide a comprehensive, curated database of factors associated with radiation sensitivity and resistance in cancer, supporting the global radiation oncology research community.
Hong Kong deployment, HTTPS, faster China access, chart compatibility fix
hk-app.radbionet.com as a direct DNS endpoint for the Hong Kong deploymentradbionet.com to load the Hong Kong Shiny endpoint; the previous shinyapps.io/Cloudflare Worker route remains available as a fallbackToxicity endpoints, China CDN, chat persistence, multi-bug fixes
app.radbionet.com for China accessibility — routes all RadBioNET traffic through Cloudflare HK nodeapp.radbionet.com bound to Worker, replacing direct shinyapps.io access in iframecheck.names = TRUE)Public launch, China CDN, UI redesign, data correction
Topic selection, domain registration, infrastructure, data curation, app development
Contact us at radbionet@outlook.com