Data & Database Resources
CCP-NTH provides and curates datasets to support research, validation, and emerging AI/ML applications in nuclear thermal hydraulics and related areas.
CCP-NTH Data Resources
CCP-NTH develops high-fidelity datasets and benchmark cases to support the community, including simulation data, validation resources, and future AI-ready datasets.
- High-fidelity DNS datasets (e.g. CHAPSim)
- Benchmark datasets for validation and verification
- AI-ready datasets for data-driven modelling (in development)
Open Data Hub for Thermal Hydraulics
This section provides curated links to openly accessible datasets relevant to turbulence, heat transfer, and nuclear thermal hydraulics.
CCP-NTH is not responsible for the content, availability, citation practice, or maintenance of the external databases listed below. This page is intended as a community resource to improve visibility and ease of access.
Canonical Turbulence (Channel, Pipe, Wall Flows)
- Johns Hopkins Turbulence Database (JHTDB)
A widely used open-access database providing DNS datasets for canonical turbulent flows, including channel flow, isotropic turbulence, and mixing layers.
- JAXA DNS Database
Open representative turbulence statistics from DNS of wall-bounded turbulent flows, including channel flow, turbulent separation bubbles, skewed turbulent boundary layers, and zero-pressure-gradient turbulent boundary layers.
- TU Darmstadt Turbulence DNS Database
Statistical DNS data for incompressible turbulent flows generated at TU Darmstadt, including Couette flow, Poiseuille flow, and rotating or transpiring channel-flow cases.
- Vreman Research Channel-Flow Database
High-resolution, long-time DNS databases of turbulent channel flow, including classic reference cases at Reτ = 180 and 590.
- Texas Turbulence File Server
Provides direct access to DNS channel-flow and Couette-flow datasets across a range of Reynolds numbers, together with statistics and file-server access.
- UK Turbulence Consortium Database
A curated dataset page including turbulence-related benchmark and training datasets, such as periodic hills and Taylor–Green vortex cases.
- ERCOFTAC Database
A curated collection of experimental and numerical benchmark datasets used extensively for validation and assessment of turbulence models.
- NASA Turbulence Modeling Resource
A validation resource providing benchmark CFD cases, reference solutions, and turbulence model documentation for RANS and LES simulations.
Heat Transfer & Wall Turbulence
- THTLAB Database
A collection of datasets from the Turbulence and Heat Transfer Laboratory, focusing on coupled turbulence and heat transfer in canonical configurations.
- Tokyo University of Science DNS Database
A DNS database of wall-bounded turbulent flows with heat transfer, including cases with buoyancy, rotation, and other complex physical effects.
- KTH Boundary Layer Data
Boundary-layer DNS and LES datasets from KTH, including velocity profiles and turbulence-budget data across a range of Reynolds numbers.
- NIST Thermophysical Property Databases
Authoritative databases providing thermophysical properties of fluids and materials, widely used for modelling heat transfer and fluid behaviour.
Nuclear Thermal Hydraulics Experimental Data
- NUPEC PSBT
A high-quality benchmark dataset for PWR subchannel flows, widely used for validation of subchannel and CFD thermal hydraulics models.
- NUPEC BFBT
A comprehensive boiling water reactor dataset providing detailed measurements for bundle-scale boiling flows and heat-transfer validation.
- NRC CHF Database
A large experimental database of critical heat flux measurements used for modelling boiling crisis and safety margins in nuclear systems.
System Thermal Hydraulics & Benchmarks
- OECD/NEA Thermal Hydraulics Benchmarks
A suite of internationally coordinated benchmark problems and datasets, including system-scale experiments such as PKL and ROSA, for validation of thermal hydraulics codes.
- TrioCFD Databases
Databases associated with TrioCFD, including cold-leg mixing and front-tracking / DNS databases of upward turbulent bubbly channel flows.
AI-ready Scientific Datasets
- The Well (Polymathic AI)
A curated collection of machine-learning-ready scientific datasets, including fluid dynamics and PDE-based simulations, designed for developing and benchmarking AI models.
General Open Data Platforms
- Zenodo
A general-purpose open-access repository for sharing research outputs, including datasets, software, and publications, with DOI assignment.
- Figshare
A platform for publishing and sharing research data across disciplines, supporting open science and reproducibility.
- UKRI Gateway to Research
A UKRI portal providing access to information on funded research projects, associated outputs, and links to datasets.
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