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juliensimon/sentry-impact-risk

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Hugging Face2026-03-28 更新2026-03-29 收录
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--- license: cc-by-4.0 pretty_name: "NASA Sentry: Earth Impact Risk Assessment" language: - en description: >- Near-Earth objects with non-zero Earth impact probability from NASA JPL Sentry system. Updated daily. size_categories: - n<1K task_categories: - tabular-classification - tabular-regression tags: - space - asteroid - impact - sentry - planetary-defense - nasa - near-earth-object - open-data - tabular-data configs: - config_name: default data_files: - split: train path: data/sentry_impact_risk.parquet --- # NASA Sentry: Earth Impact Risk Assessment *Part of the [Orbital Mechanics Datasets](https://huggingface.co/collections/juliensimon/orbital-mechanics-datasets-69c24caca4ab3934c9856994) collection on Hugging Face.* ![Update Sentry](https://github.com/juliensimon/space-datasets/actions/workflows/update-sentry.yml/badge.svg) ![Updated](https://img.shields.io/badge/dynamic/json?url=https://raw.githubusercontent.com/juliensimon/space-datasets/main/status.json&query=$.sentry&label=updated&color=brightgreen) Near-Earth objects with non-zero Earth impact probability, as assessed by NASA's Sentry impact monitoring system. Currently **2,108** objects under watch. ## Dataset description The Sentry system, operated by NASA's Center for Near-Earth Object Studies (CNEOS) at the Jet Propulsion Laboratory, continuously monitors the most current asteroid catalog for possibilities of future Earth impact. Objects are listed when their orbits bring them close enough that an impact cannot be ruled out. Each record includes the cumulative and maximum Palermo Scale rating (a logarithmic measure comparing the impact probability to the background risk), the Torino Scale rating (an integer 0-10 for public communication), the number of potential impact scenarios, estimated diameter, and the year range of possible impacts. ## Schema | Column | Type | Description | |--------|------|-------------| | `designation` | string | Primary designation (e.g. "29075", "2024 YR4") | | `full_name` | string | Full formatted name | | `impact_probability` | float64 | Cumulative impact probability | | `palermo_scale_cum` | float64 | Cumulative Palermo Scale value | | `palermo_scale_max` | float64 | Maximum Palermo Scale value (single event) | | `torino_scale` | float64 | Maximum Torino Scale value (0-10) | | `n_potential_impacts` | float64 | Number of potential impact scenarios | | `year_range_min` | Int64 | Earliest year of potential impact | | `year_range_max` | Int64 | Latest year of potential impact | | `last_observation` | datetime | Date of last astrometric observation | | `last_observation_jd` | float64 | Last observation (Julian Date) | | `diameter_km` | float64 | Estimated diameter (km) | | `absolute_magnitude` | float64 | Absolute magnitude H | | `v_infinity_kms` | float64 | V-infinity at impact (km/s) | ## Quick stats - **2,108** objects with non-zero impact probability - Highest cumulative Palermo Scale: **-0.93** - Maximum Torino Scale: **0** - Closest potential impact year: **2026** - Highest impact probability: **2010 RF12** (1.03e-01) ## Usage ```python from datasets import load_dataset ds = load_dataset("juliensimon/sentry-impact-risk", split="train") df = ds.to_pandas() # Objects ranked by Palermo Scale (most hazardous first) print(df[["designation", "palermo_scale_cum", "torino_scale", "impact_probability", "diameter_km"]].head(10)) # Objects with Torino Scale > 0 elevated = df[df["torino_scale"] > 0] print(f"{len(elevated)} objects with elevated Torino Scale") # Large objects (> 100m) with upcoming potential impacts large = df[(df["diameter_km"] > 0.1) & (df["year_range_min"] <= 2050)] print(large[["designation", "diameter_km", "year_range_min", "impact_probability"]]) ``` ## Data source [NASA JPL Center for Near Earth Object Studies (CNEOS) Sentry System](https://cneos.jpl.nasa.gov/sentry/). Impact probabilities are continuously refined as new astrometric observations improve orbit solutions. ## Update schedule Daily at 11:00 UTC via [GitHub Actions](https://github.com/juliensimon/space-datasets). ## Related datasets - [neo-close-approaches](https://huggingface.co/datasets/juliensimon/neo-close-approaches) -- NEO close approaches to Earth - [fireball-bolide-events](https://huggingface.co/datasets/juliensimon/fireball-bolide-events) -- Fireball/bolide atmospheric impacts ## Pipeline Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets) ## Citation ```bibtex @dataset{sentry_impact_risk, author = {Simon, Julien}, title = {NASA Sentry: Earth Impact Risk Assessment}, year = {2026}, publisher = {Hugging Face}, url = {https://huggingface.co/datasets/juliensimon/sentry-impact-risk}, note = {Based on NASA/JPL Center for Near Earth Object Studies (CNEOS) Sentry system data} } ``` ## License [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
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