Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-helio
A curated list of datasets, tools and papers for machine learning in heliophysics.
https://github.com/i4Ds/awesome-helio
Last synced: 4 days ago
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Books
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- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Machine Learning, Statistics, and Data Mining for Heliophysics - Bobra, Monica, and James Paul Mason. "Machine learning, statistics, and data mining for heliophysics."
- Machine learning techniques for space weather - Camporeale, Enrico, Simon Wing, and Jay Johnson, eds. "Machine learning techniques for space weather." Elsevier, 2018.
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Machine Learning, Statistics, and Data Mining for Heliophysics - Bobra, Monica, and James Paul Mason. "Machine learning, statistics, and data mining for heliophysics."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
- Deep Learning in Solar Astronomy - Xu, Long, Yihua Yan, and Xin Huang. "Deep Learning in Solar Astronomy."
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Papers
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Datasets
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Event detection, classification and tracking
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Missions
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Space weather prediction
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Other Applications
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Missions
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Datasets
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e-Callisto
- e-Callisto Data access - The CALLISTO spectrometer is a programmable heterodyne receiver used for observation of solar radio bursts for astronomical science, education, outreach and citizen science as well as rfi-monitoring.
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IRIS
- LMSAL data search - Useful search interface by Lockheed Martin with links to various resources for each observation. Use our [internal](http://server0090.cs.technik.fhnw.ch/iris/) mirror for data download or work directly on one of the dedicated machines.
- IRISdataset - Dataset with selected representative observations for different observation classes.
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SDO
- Guide to SDO Data Analysis
- Curated Image Parameter Dataset - Massive image parameter dataset extracted from the Solar Dynamics Observatory (SDO) mission's AIA instrument, for the period of January 2011 through the current date, with the cadence of six minutes, for nine wavelength channels.
- JSOC - Data products from the Solar Dynamics Observatory, as well as certain other missions and instruments, are available from the JSOC database.
- DeepSDO Event dataset - Dataset curated by experts containing three solar event categories (coronal holes, sunspots, and prominences). Suitable for object detection using deep learning-based models.
- LSDO - A Large-scale Solar Dynamics Observatory image dataset for computer vision applications Dataverse.
- Machine Learning Data Set for NASA's Solar Dynamics Observatory - A curated dataset from the NASA Solar Dynamics Observatory (SDO) mission in a format suitable for machine learning research.
- Machine Learning Data Set for NASA's Solar Dynamics Observatory - not corrected for degradation - Version of the SDO ML v1 dataset not corrected for degradation over time.
- Machine Learning Data Set for NASA's Solar Dynamics Observatory v2 - The second version of the curated dataset from the NASA Solar Dynamics Observatory (SDO) mission in a format suitable for machine learning research. [colab](https://colab.research.google.com/github/spaceml-org/helionb-sdoml/blob/main/notebooks/01_sdoml_dataset_2018/sdoml_dataset_colab.ipynb#scrollTo=u8yLRK4x30gr) [intro](https://www.youtube.com/watch?v=5KNFmnyWRQk) [code](https://github.com/SDOML/SDOMLv2)
- SOHO/MDI & SDO/HMI line-of-sight Magnetogram Dataset - Curated dataset consisting of co-aligned, co-temporal observations of the same physical structures as observed by HMI and MDI (rotated to the corresponding the HMI frame), ideal for learning-based super-resolution techniques. [colab](https://colab.research.google.com/drive/1mOP-Zx8NPhtLzb17fxi56EdD_Wn6VFuZ?usp=sharing) [code](https://github.com/spaceml-org/helionb-mag) [intro](https://www.youtube.com/watch?v=rhxyC9MkWGU)
- Solar Flare Prediction from Time Series of Solar Magnetic Field Parameters - Processed dataset provided for the IEEE Big Data 2019 Big Data Cup consisting of a set of magnetic field parameters calculated from individual SHARPs.
- SWAN-SF
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Solar Orbiter
- STIX Data Center - Spectrometer Telescope for Imaging X-rays (STIX) on Solar Orbiter is a hard X-ray imaging spectrometer covering the energy range from 4 to 150 keV
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Links
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Solar Orbiter
- AGU Link Collection - Solar physics link collection.
- Astrophysics Data System (ADS) - Digital library portal for researchers in astronomy and physics.
- Carrington rotation date list
- Community Coordinated Modeling Center - Partnership for space science and space weather models.
- Dr Peter R. Young's website - Useful materials for different missions.
- FHNW - Astroinformatics and Heliophysics - Space-related research at the FHNW Institute for Data Science.
- Helionauts - Heliophysics Forum.
- Helioanalytics - Research group and resources for data analytics in heliophysics.
- Heliophysics Data Portal
- Heliophysics Data Environment - Data and Services for the Heliophysics System Observatory.
- LMSAL AIA - Home of SDO's atmospheric imaging assembly (AIA).
- SDO Documentation
- SDO Guide - A comprehensive booklet with information about the mission.
- SDO Mission
- SDO Quick Movie Browser
- Spacewheater.com - News and information about the Sun-Earth environment.
- Spaceweatherlive.com - Real-time auroral and solar activity.
- Space wheater data portal - Tool for visualizing, downloading and co-plotting space wheather data.
- SSCWeb Satellite Situation Center - Locations for most helio spacecraft.
- Sungate - Portal to solar data, events, and search tools.
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Tools
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Other Applications
- Helioviewer - Solar and heliospheric image visualization tool. [code](https://github.com/Helioviewer-Project/JHelioviewer-SWHV)
- Integrated Solar Database - Solar and heliospheric image visualization tool including image parameters with Extended Spatiotemporal Querying Capabilities.
- integrated Space Weather Analysis (iSWA) system
- SolarMonitor - Provides realtime information about the solar activity. The most recent images of the sun are shown, together with the description of the different NOAA AR of the day and which flares has been associated to them.
- SpaceML - A Machine Learning toolbox and developer community building the next generation AI applications for space science and exploration containing a set of [code examples](https://github.com/spaceml-org/helionb-sdoml).
- Sunpy - Set of tools for solar data analysis with Python.
- SWPC CME Analysis Tool (SWPC_CAT) - Primary tool being used by NOAA SWPC in measuring key parameters of a Coronal Mass Ejection (CME) [code](https://github.com/nasa/ccmc-swpc-cat-web)
- Global High-Resolution Hα network
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Videos
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Other Applications
- Big data 2020 Conference Talk - Tutorial 6: Data Sources, Tools, and Techniques for Big Data-driven Machine Learning in Heliophysics
- SDO 2021 Science Workshop - Recent science topics targeting SDO data
- SpaceML Youtube Channel - machine learning toolbox and developer community building open science AI applications for space science and exploration.
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