turbulence
turbulence_gravity_coolingThis Dataset is part of The Well Collection.
How To Load from HuggingFace Hub
Be sure to have the_well installed (pip install the_well)
Use the WellDataModule to retrieve data as follows:
from the_well.data import WellDataModule
# The following line may take a couple of minutes to instantiate the datamodule
datamodule = WellDataModule(
"hf://datasets/polymathic-ai/",
"turbulence_gravity_cooling",
)
train_dataloader = datamodule.train_dataloader()
for batch in dataloader:… See the full description on the dataset page: https://huggingface.co/datasets/polymathic-ai/turbulence_gravity_cooling.johns-hopkins-turbulence-database
Johns Hopkins Turbulence Database
👉 Please visit: https://turbulence.idies.jhu.edu
There you will find:
Homogeneous Turbulence: Isotropic 1024³, 2048³, 4096³, 8192³ and 32768³
Wall-Bounded Turbulence: Channel Flow & Transitional Boundary Layer
Geophysical
Wind Farm Simulations
You will also be able to access these datasets in their full size, unlike the subset presented in this HuggingFace dataset
What is in this HuggingFace Dataset?
This repository hosts a small… See the full description on the dataset page: https://huggingface.co/datasets/ArielLubonja/johns-hopkins-turbulence-database.jhtdb-isotropic-turbulence-1024ASU_Turbulence_Clean_100k_dataset_v1aviation-clear-air-turbulence-altitude-route-coherence-risk-v0.1What this repo is for
Detect when turbulence risk rises
but flight profile does not respond.
Flags
high CAT risk with no altitude change
large deviations with low CAT drivers
injury events following under-response
adaption-turbulence-derivations-pope
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-turbulence_derivations_pope
This dataset contains mathematical derivations and lecture notes on fluid dynamics, specifically focusing on isotropic turbulence, Reynolds equations, and stationary stochastic processes. The content includes detailed step-by-step expansions of structure functions, mean flow equations, and statistical properties authored primarily by S. B. Pope. Text… See the full description on the dataset page: https://huggingface.co/datasets/darius-adaption/adaption-turbulence-derivations-pope.