MaxSpeLL/dt-openusd-showcase-case03-airflow

DTRS Airflow Runtime Dataset

Overview

This dataset contains precomputed airflow velocity fields for the Digital Twin Runtime Suite (DTRS), an OpenUSD / NVIDIA Omniverse digital-twin visualization project.

The velocity fields are generated in Houdini, resampled to a runtime-oriented grid, exported as temporal VTI assets, imported through NVIDIA Kit-CAE, and used by NVIDIA Flow to advect a passive smoke tracer inside DTRS.

This repository contains runtime data, not Houdini source simulation files.

Published Dataset Family

The first public release provides the complete server workload family.

Property	Value
Scope	server
Operating states	load_idle, load_normal, load_surge, load_critical
Published workload datasets	4
Temporal samples	80 per workload
Source simulation rate	50 FPS
Export interval	every 10 source frames
Runtime velocity-field rate	5 Hz
Sample interval	0.2 s
Loop duration	16.0 s per workload
Runtime grid	184 x 72 x 232
Field	vel
Format	VTI
Published dataset size	~9.78 GB

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Pipeline

Houdini airflow simulation
        |
        v
Runtime-resampled velocity field
        |
        v
Temporal VTI sequence
        |
        v
NVIDIA Kit-CAE
        |
        v
NVIDIA Flow DataSetEmitter
        |
        v
Passive smoke tracer
        |
        v
Digital Twin Runtime Suite

The precomputed Houdini velocity field remains the source of airflow motion.

NVIDIA Flow is the runtime visualization layer: smoke is injected as a passive tracer and advected by the imported velocity field. It does not replace the source simulation.

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Dataset Structure

airflow_datasets/
└── 01_server/
    ├── 01_load_idle/
    │   ├── manifest.toml
    │   └── *.vti
    ├── 02_load_normal/
    │   ├── manifest.toml
    │   └── *.vti
    ├── 03_load_surge/
    │   ├── manifest.toml
    │   └── *.vti
    └── 04_critical/
        ├── manifest.toml
        └── *.vti

Numeric directory prefixes are used only for human-readable ordering. DTRS discovers datasets from manifest.toml and resolves their identity from the semantic scope and state fields.

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Manifest Contract

Each temporal airflow dataset contains a manifest.toml that describes its runtime contract.

All four published server workloads share the following temporal and spatial contract:

scope = "server"

duration = 16.0
source_fps = 50
sample_step_frames = 10
sample_rate_hz = 5

sample_count = 80
grid = [184, 72, 232]

Their individual state values are:

load_idle
load_normal
load_surge
load_critical

DTRS uses the manifest to:

• identify the requested scope and workload state;
• discover the VTI sequence automatically;
• validate sample count and frame spacing;
• derive runtime temporal cadence;
• validate the expected VTI grid;
• configure the temporal loop without hardcoded file lists.

For every published server workload:

50 source frames / second
/ 10-frame sampling interval
= 5 velocity-field updates / second

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Temporal Sampling Trade-off

The Houdini source simulation is evaluated at 50 FPS, while the distributed runtime dataset is sampled at 5 Hz.

This is an intentional runtime and distribution trade-off. A denser temporal sequence would increase asset count, storage requirements, transfer cost, and runtime preparation time.

The higher-frequency Houdini source simulation remains private authoring source material and is not distributed with this dataset.

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Reproducing the Runtime Dataset

The related DTRS source repository is:

https://github.com/MSP014/dt-openusd-showcase-case03-dc

After cloning the project, download the dataset into:

assets/_external/airflow_datasets/

Using the Hugging Face CLI from the repository root:

hf download MaxSpeLL/dt-openusd-showcase-case03-airflow --repo-type dataset --local-dir assets/_external/airflow_datasets --include "01_server/**"

The resulting structure should contain all four workload datasets below assets/_external/airflow_datasets/01_server/.

DTRS discovers the dataset family through the manifests; no manual VTI path lists are required.

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Coverage

Scope	Idle	Normal	Surge	Critical
Server	Available	Available	Available	Available
Rack	Planned	Planned	Planned	Planned
Room	Planned	Planned	Planned	Planned

This first public release provides the complete server workload family. Rack- and room-level datasets are not included.

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Intended Use

This dataset is intended for:

• local evaluation and testing of DTRS airflow visualization;
• study of manifest-driven VTI dataset discovery and playback;
• evaluation of temporal engineering-field visualization through Kit-CAE and NVIDIA Flow;
• internal or hiring evaluation of the DTRS technical workflow.

It is not presented as a general-purpose CFD validation benchmark.

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Related Repository

The DTRS repository contains the application code, OpenUSD/runtime integration, documentation, validation logic, and reproducibility instructions:

https://github.com/MSP014/dt-openusd-showcase-case03-dc

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License

All VTI datasets, manifest.toml files, and documentation in this repository are licensed under the Creative Commons Attribution 4.0 International License.

You may copy, redistribute, remix, transform, and build upon this material for any purpose, including commercial use, provided that you give appropriate attribution, link to the license, and indicate whether changes were made.

Suggested attribution:

Maksim Pospelkov, DTRS Airflow Runtime Dataset, 2026.
https://huggingface.co/datasets/MaxSpeLL/dt-openusd-showcase-case03-airflow
Licensed under CC BY 4.0.

This license applies only to the materials in this dataset repository. It does not grant rights in the DTRS source code, authored 3D assets, textures, renders, Houdini source files, trademarks, or other materials distributed through the related project repository.