Back to datasets
Dataset assetClassic DatasetClimate ResearchMeteorological Observations
NOAA Global Surface Summary of the Day (GSOD)
The NOAA Global Surface Summary of the Day (GSOD) dataset comprises daily worldwide meteorological observations, covering variables such as temperature, humidity, wind speed, and precipitation. Maintained by the National Oceanic and Atmospheric Administration (NOAA), it aims to provide global meteorological data to support climate research, weather forecasting, and related applications.
Source
www.ncei.noaa.gov
Created
Nov 28, 2025
Updated
Apr 28, 2026
Signals
1,207 views
Availability
Linked source ready
Overview
Dataset description and usage context
Dataset Overview
Dataset Features
- content: Data type is string.
- metadata: Structured data containing the following fields:
- answer: Data type is string.
- id: Data type is string.
- prefix: Data type is string.
- question: Data type is string.
- school_id: Data type is string.
- seq_num: Data type is integer (int64).
- source: Data type is string.
- tokenized_question: Data type is string.
- url: Data type is string.
- vector: Data type is a sequence of floats (float64).
- vector: Data type is a sequence of floats (float64).
Dataset Split
- train: Contains 1,015 samples, occupying 18,574,718 bytes.
Dataset Size
- Download size: 12,148,966 bytes.
- Dataset size: 18,574,718 bytes.
Configuration
- default: Includes training data files, located at
data/train-*.
Need downstream help?
Pair the dataset with AI analysis and content workflows.
Once the source passes your review, move straight into summarization, transformation, report drafting, or presentation generation with the JuheAI toolchain.