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juliensimon/substorm-onsets

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Hugging Face2026-04-04 更新2026-04-12 收录
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--- license: cc-by-4.0 pretty_name: "Substorm Onset Events (SuperMAG)" language: - en description: "Magnetospheric substorm onset events from 5 detection algorithms via SuperMAG (253,319 events, 1975-2024)." task_categories: - tabular-classification - time-series-forecasting tags: - space - space-weather - substorm - magnetosphere - aurora - geomagnetic - supermag - open-data - tabular-data - parquet size_categories: - 100K<n<1M configs: - config_name: default data_files: - split: train path: data/substorm_onsets.parquet default: true --- # Substorm Onset Events (SuperMAG) <div align="center"> <img src="banner.jpg" alt="Aurora borealis blankets the Earth, seen from the ISS" width="400"> <p><em>Credit: NASA</em></p> </div> *Part of the [Space Weather Datasets](https://huggingface.co/collections/juliensimon/space-weather-datasets-69c24cae98f1666f2101ca70) collection on Hugging Face.* A consolidated catalog of **253,319** magnetospheric substorm onset events spanning **1975--2024**, combining five independent detection algorithms from the [SuperMAG](https://supermag.jhuapl.edu/) collaboration. This is the most comprehensive substorm event list available, enabling multi-algorithm comparison and consensus studies. ## Dataset description Magnetospheric substorms are fundamental space weather events driven by the solar wind's interaction with Earth's magnetic field. During a substorm, magnetic energy stored in the magnetotail is explosively released, accelerating charged particles that stream along field lines into the polar regions. This produces sudden auroral brightenings — the dramatic intensification of the Northern and Southern Lights — along with rapid changes in ground-level magnetic fields detected by magnetometer networks worldwide. This dataset merges five complementary onset detection methods: | Source | Events | Detection method | |--------|-------:|-----------------| | `forsyth` | 120,069 | SML/SMU expansion-recovery (ground magnetometers) | | `newell` | 81,914 | SML index (ground magnetometers) | | `ohtani` | 44,606 | SML bay detection (ground magnetometers) | | `frey` | 4,191 | IMAGE/FUV auroral imaging (space-based) | | `liou` | 2,539 | Polar UVI auroral imaging (space-based) | **Ground-based methods** (246,589 events) detect substorms through characteristic negative bays in the SML (SuperMAG Lower) index — a measure of the westward auroral electrojet current. **Space-based methods** (6,730 events) directly observe the initial auroral brightening using ultraviolet imagers aboard the IMAGE and Polar satellites. Each algorithm has different sensitivity and false-positive rates, so researchers often require onset confirmation across multiple lists. The `source` column enables filtering by algorithm or finding consensus events where multiple methods agree within a time window. ## Schema | Column | Type | Description | |--------|------|-------------| | `datetime_utc` | datetime | Substorm onset time (UTC) | | `mlt_hours` | float64 | Magnetic Local Time of onset (hours, 0-24) | | `magnetic_latitude_deg` | float64 | Magnetic latitude of onset (degrees) | | `geographic_longitude_deg` | float64 | Geographic longitude of onset (degrees) | | `geographic_latitude_deg` | float64 | Geographic latitude of onset (degrees) | | `source` | string | Detection algorithm: newell, forsyth, ohtani, frey, liou | | `method` | string | Detection method description | ## Quick stats - **253,319** total substorm onset events - **1975--2024** temporal coverage - **5** independent detection algorithms - **246,589** ground magnetometer detections, **6,730** auroral imaging detections ## Usage ```python from datasets import load_dataset ds = load_dataset("juliensimon/substorm-onsets", split="train") df = ds.to_pandas() # Events per algorithm print(df["source"].value_counts()) # Annual substorm rate by algorithm import matplotlib.pyplot as plt df["year"] = df["datetime_utc"].dt.year df.groupby(["year", "source"]).size().unstack().plot(figsize=(12, 5)) plt.ylabel("Substorm onsets per year") plt.title("Annual Substorm Rate by Detection Algorithm") plt.show() # MLT distribution — substorms peak near midnight df["mlt_hours"].hist(bins=48, alpha=0.7) plt.xlabel("Magnetic Local Time (hours)") plt.ylabel("Count") plt.title("Substorm Onset MLT Distribution") plt.show() # Find consensus events (multiple algorithms within 10 minutes) from datetime import timedelta newell = df[df["source"] == "newell"]["datetime_utc"] ohtani = df[df["source"] == "ohtani"]["datetime_utc"] ``` ## Data source SuperMAG substorm onset lists, provided by the Johns Hopkins University Applied Physics Laboratory: - Newell & Gjerloev (2011), [doi:10.1029/2010JA016141](https://doi.org/10.1029/2010JA016141) - Forsyth et al. (2015), [doi:10.1002/2015JA021343](https://doi.org/10.1002/2015JA021343) - Ohtani & Gjerloev (2020), [doi:10.1029/2019JA027680](https://doi.org/10.1029/2019JA027680) - Frey et al. (2004), [doi:10.1029/2003JA010300](https://doi.org/10.1029/2003JA010300) - Liou (2010), [doi:10.1016/j.jastp.2009.08.005](https://doi.org/10.1016/j.jastp.2009.08.005) ## Related datasets - [Dst Index](https://huggingface.co/datasets/juliensimon/dst-index) — Hourly geomagnetic storm index - [Kp Index](https://huggingface.co/datasets/juliensimon/kp-index) — 3-hourly geomagnetic activity - [AE Index](https://huggingface.co/datasets/juliensimon/ae-index) — Auroral electrojet indices - [DONKI Space Weather](https://huggingface.co/datasets/juliensimon/donki) — CMEs, flares, and geomagnetic storms ## Pipeline Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets) ## Support If you find this dataset useful, please give it a ❤️ on the [dataset page](https://huggingface.co/datasets/juliensimon/substorm-onsets) and share feedback in the Community tab! Also consider giving a ⭐ to the [space-datasets](https://github.com/juliensimon/space-datasets) repo. ## Citation ```bibtex @dataset{substorm_onsets, author = {Simon, Julien}, title = {Substorm Onset Events (SuperMAG)}, year = {2026}, publisher = {Hugging Face}, url = {https://huggingface.co/datasets/juliensimon/substorm-onsets}, note = {Consolidated from SuperMAG: Newell, Forsyth, Ohtani, Frey, Liou lists} } ``` ## License [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
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