Datasets:

juliensimon
/

nasa-eva-chronology

license: cc-by-4.0
pretty_name: NASA EVA Chronology
language:
  - en
description: >-
  Complete chronology of extravehicular activities (spacewalks) by NASA and
  Roscosmos.  375 EVAs from 1965 to 2013, including crew, vehicle, duration, and
  purpose.
size_categories:
  - n<1K
task_categories:
  - tabular-classification
tags:
  - space
  - eva
  - spacewalk
  - nasa
  - iss
  - human-spaceflight
  - open-data
  - tabular-data
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/eva.parquet

NASA EVA Chronology

Part of the Astronomy Datasets collection on Hugging Face.

Complete chronology of all 375 extravehicular activities (spacewalks) performed by NASA and Roscosmos astronauts and cosmonauts, from 1965 to 2013 -- totalling 1,987 crew-hours outside the spacecraft.

Dataset description

This dataset contains the official NASA EVA chronology covering every spacewalk by US and Russian crews. Each record includes the EVA sequence number, date, crew members, vehicle (Gemini, Apollo, Skylab, Shuttle, ISS, etc.), duration in H:MM format plus a computed duration_minutes column, and a free-text description of the purpose and activities.

Schema

Column	Type	Description
`eva_number`	Int64	Sequential EVA number
`country`	string	Country (USA / Russia)
`crew`	string	Crew member(s)
`vehicle`	string	Spacecraft or station (Gemini, Apollo, ISS, etc.)
`date`	datetime	Date of EVA
`duration`	string	Duration in H:MM format
`duration_minutes`	float64	Duration in total minutes
`purpose`	string	Free-text description of EVA activities

Quick stats

375 EVAs (236 USA, 139 Russia)
1965 to 2013
1,987 total crew-hours
151 vehicles: Soyuz TM-26 Mir 24 (7), Soyuz TM-27 Mir 25 (6), Soyuz T-10 Salyut 7 (6), Soyuz TM-12 Mir (6), Apollo 15 (6)

Usage

from datasets import load_dataset

ds = load_dataset("juliensimon/nasa-eva-chronology", split="train")
df = ds.to_pandas()

# EVAs per vehicle
print(df["vehicle"].value_counts())

# Total spacewalk hours by country
by_country = df.groupby("country")["duration_minutes"].sum() / 60
print(by_country)

# Longest EVAs
longest = df.nlargest(10, "duration_minutes")[["date", "crew", "vehicle", "duration"]]
print(longest)

Data source

NASA Open Data Portal -- Extra-vehicular Activity (EVA) - US and Russia. data.nasa.gov

Related datasets

astronaut-database -- Complete astronaut database
launch-log -- McDowell launch log

Pipeline

Source code: juliensimon/space-datasets

Citation

@dataset{nasa_eva_chronology,
  author = {Simon, Julien},
  title = {NASA EVA Chronology},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/juliensimon/nasa-eva-chronology},
  note = {Based on NASA Open Data Portal EVA dataset}
}

License

CC-BY-4.0