CoolFace
Datasetpublic

aerostratospheric/spc-tornado-history

NOAA / SPC Tornado History (1950–2024) Bundled for Aerostratospheric / UOGW tornado-trend research. Source of record: NOAA Storm Prediction Center Severe Weather Database. Contents 1950-2024_all_tornadoes.csv / 1950-2024_actual_tornadoes.csv — SPC actual tornado segment CSV schema.json — provenance metadata Bundled UTC: 2026-09-18T15:47:02Z License / attribution US Government work redistributed by SPC for public use. You must attribute NOAA/SPC… See the full description on the dataset page: https://huggingface.co/datasets/aerostratospheric/spc-tornado-history.

sourceHugging Faceotherupdated 10h agoView on Hugging Face
0likes75downloads
Dataset Card

NOAA / SPC Tornado History (1950–2024)

Bundled for Aerostratospheric / UOGW tornado-trend research. Source of record: NOAA Storm Prediction Center Severe Weather Database.

Contents

  • —1950-2024_all_tornadoes.csv / 1950-2024_actual_tornadoes.csv — SPC actual tornado segment CSV
  • —schema.json — provenance metadata

Bundled UTC: 2026-09-18T15:47:02Z

License / attribution

US Government work redistributed by SPC for public use. You must attribute NOAA/SPC in any publication. This companion does not claim ownership of SPC data. Terms and updates: https://www.spc.noaa.gov/wcm/

How to load

python
from huggingface_hub import hf_hub_download
import pandas as pd

path = hf_hub_download(
    "aerostratospheric/spc-tornado-history",
    "1950-2024_all_tornadoes.csv",
    repo_type="dataset",
)
df = pd.read_csv(path)
print(df.shape, df["yr"].min(), df["yr"].max())

Related

  • —UOGW archive: https://huggingface.co/datasets/aerostratospheric/uogw
  • —Tornado models: https://huggingface.co/aerostratospheric/uogw-tornado-trends

Classroom and research use (2026-09-25)

Teachers can pair this tornado history with the live Casey, Illinois station and NOAA KILX soundings on xDataHub, our public open atmospheric data dashboard (https://www.midwestsds.com/msds-data-hub.html), and with the STEM program at https://www.midwestsds.com/stem.html. xPlorer, our signed in learning dashboard, offers free 1 hour and 5 hour STEM certificates: https://www.midwestsds.com/explorer.html

Research groups and educators interested in data collaboration can contact space@aerostratospheric.com or book a 15 minute intro at https://calendly.com/aerostratospheric/15min