nas
Datasets
All datasets matching “nas”WxC-Bench
Dataset Card for WxC-Bench
WxC-Bench primary goal is to provide a standardized benchmark for evaluating the performance of AI models in Atmospheric and Earth Sciences across various tasks.
Dataset Details
WxC-Bench contains datasets for six key tasks:
Nonlocal Parameterization of Gravity Wave Momentum Flux
Prediction of Aviation Turbulence
Identifying Weather Analogs
Generation of Natural Language Weather Forecasts
Long-Term Precipitation Forecasting
Hurricane Track and… See the full description on the dataset page: https://huggingface.co/datasets/nasa-impact/WxC-Bench.llava-video-178k-siglip-tokens-ftov-new
LLaVA-Video-178K SigLIP Token Cache (LLaVA-OV fine-tuned vision tower)
Derived data (vision-encoder features of video frames), not a
redistribution of the source videos. Source:
lmms-lab/LLaVA-Video-178K -- its card
restricts use to academic research and education, and its annotations come
from GPT-4-class models (see the OpenAI usage policy).
Complete: 85000 clips.
Subset
Folders: 0_30_s_academic_v0_1, 0_30_s_youtube_v0_1, 30_60_s_academic_v0_1… See the full description on the dataset page: https://huggingface.co/datasets/Ahmed-Nasri/llava-video-178k-siglip-tokens-ftov-new.Landslide4sense
Landslide4Sense
Dataset Description
This dataset is originally introduced in GitHub repo Landslide4Sense-2022.
The Landslide4Sense dataset has three splits, training/validation/test, consisting of 3799, 245, and 800 image patches, respectively. Each image patch is a composite of 14 bands that include:
Multispectral data from Sentinel-2: B1, B2, B3, B4, B5, B6, B7, B8, B9, B10, B11, B12.
Slope data from ALOS PALSAR: B13.
Digital elevation model (DEM) from ALOS… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/Landslide4sense.hls_burn_scarsThis dataset contains Harmonized Landsat and Sentinel-2 imagery of burn scars and the associated masks for the years 2018-2021 over the contiguous United States. There are 804 512x512 scenes. Its primary purpose is for training geospatial machine learning models.nasdaq_2013_2023data for the paper arxiv.org/abs/2502.07393
NASA-Power-Daily-Weather
NASA Power Weather Data over North, Central, and South America from 1984 to 2022
This dataset contains daily solar and meteorological data downloaded from the NASA Power API
Overview
The dataset includes solar and meteorological variables collected from January 1st, 1984, to December 31st, 2022.
We downloaded 28 variables directly and estimated an additional 3 from the collected data. The data spans a 5 x 8 grid covering
the United States, Central America, and South… See the full description on the dataset page: https://huggingface.co/datasets/notadib/NASA-Power-Daily-Weather.