Asteroids by the Minor Planet Center|天文学数据集|小行星数据集
收藏数据集概述
1. Asteroids by the Minor Planet Center
Item | Info |
---|---|
Name | All the asteroids with calculated orbits contained in the MPC database |
Content description | Orbital data of all know asteroids. Observational data. |
Provider | Minor Planet Center |
Location | http://www.minorplanetcenter.net/data |
Formats | Fortran (.DAT), JSON (has extended data) |
Retrieval | plain download |
Size | 81 MB (compressed), 450 MB (unzipped) |
Partitioned | No |
Records | about 750,000 |
Updates | Daily |
Documentation | http://minorplanetcenter.net/Extended_Files/Extended_MPCORB_Data_Format_Manual.pdf |
2. GAIA - GAIA DR1, DR2 Source
Item | Info |
---|---|
Name | GAIA DR1, DR2 |
Content description | Positions (α, δ) and G magnitudes for all sources with acceptable formal standard errors on positions. |
Provider | ESA |
Location | https://gea.esac.esa.int/archive/ |
Formats | CSV, FITS, Votable |
Retrieval | Plain download |
Size | Not specified |
Partitioned | Yes, files of 40 MB (CSV) |
Records | 1,692,919,135 |
Updates | Dataset DR2 published on 25 April 2018 |
Documentation | https://www.cosmos.esa.int/web/gaia/dr1, https://gea.esac.esa.int/archive/documentation/GDR2/Gaia_archive/chap_datamodel/sec_dm_main_tables/ssec_dm_gaia_source.html |
3. LIGO
Item | Info |
---|---|
Name | LIGO and VIRGO data |
Content description | Gravitational wave data |
Provider | LIGO |
Location | https://losc.ligo.org/data/ |
Formats | HDF5 and JSON |
Retrieval | Make selection on the site, then download |
Size | Not specified |
Partitioned | Not specified |
Records | Not specified |
Updates | In releases after certain amount of time |
Documentation | https://losc.ligo.org/data/#yellow_box, https://losc.ligo.org/tutorials/ |
4. Supernovae
Item | Info |
---|---|
Name | The Open Supernovae Catalog |
Content description | Centralized, open repository for supernova metadata, light curves, and spectra. |
Provider | The Open Supernovae Catalog. Maintained by James Guillochon and Jerod Parrent. |
Location | https://sne.space/download/ |
Formats | CSV, JSON (zipped, individual JSON files per supernovae) |
Retrieval | Plain download, API |
Size | 625 MB |
Partitioned | On ranges of years |
Records | 45,577 supernovae with 508,318 individual photometric detections and 18,168 individual spectra |
Updates | Whenever supernovae occur |
Documentation | http://adsabs.harvard.edu/abs/2016arXiv160501054G |
5. CosmoSim
Item | Info |
---|---|
Name | CosmoSim |
Content description | Results from cosmological simulations performed within different projects: MultiDark and Bolshoi, CLUES, and Galaxies. |
Provider | Leibniz-Institute for Astrophysics Potsdam (AIP) |
Location | https://www.cosmosim.org/ |
Formats | CSV, XML |
Retrieval | Registration, then a SQL query needs to be written |
Size | Several terabytes |
Partitioned | No. Need to write SQL query |
Records | Not specified |
Updates | Presumably after new simulations |
Documentation | https://www.cosmosim.org/cms/documentation/demos-and-tutorials/first-steps-with-cosmosim/ |
6. Fireball and Bolide Data
Item | Info |
---|---|
Name | Fireball and bolide data |
Content description | Exceptionally bright meteors that are spectacular enough to be seen over a very wide area. Provided by U.S. Government sensors |
Provider | NASA Center for Near Earth Object Studies |
Location | https://cneos.jpl.nasa.gov/fireballs/ |
Formats | CSV, Excel |
Retrieval | Plain download |
Size | 53 KB |
Partitioned | No |
Records | 735 |
Updates | Yes. When new occurrences happen |
Documentation | https://cneos.jpl.nasa.gov/fireballs/ (Click "Table Column Descriptions") |
7. Meteorite landings
Item | Info |
---|---|
Name | Meteorite Landings |
Content description | Information on all of the known meteorite landings |
Provider | NASA |
Location | https://data.nasa.gov/Space-Science/Meteorite-Landings/ak9y-cwf9 |
Formats | CSV (Export) and JSON (API) |
Retrieval | Click "Export" or API |
Size | 4.6 MB |
Partitioned | No |
Records | about 45,000 |
Updates | Doesnt look like its updated in a while |
Documentation | Not known |
8. Fireball And Bolide Reports
Item | Info |
---|---|
Name | Fireball And Bolide Reports |
Content description | Exceptionally bright meteors that are spectacular enough to be seen over a very wide area. Provided by U.S. Government sensors |
Provider | NASA |
Location | https://data.nasa.gov/Space-Science/Fireball-And-Bolide-Reports/mc52-syum |
Formats | CSV, CSV for Excel |
Retrieval | Click Export |
Size | 6 KB |
Partitioned | No |
Records | 92 |
Updates | No new updates since 2015 |
Documentation | https://data.nasa.gov/Space-Science/Fireball-And-Bolide-Reports/mc52-syum |
9. HYG Stellar database
Item | Info |
---|---|
Name | HYG Stellar database |
Content description | Compilation of interesting stellar data from a variety of catalogs. Useful for background information on star names, positions, brightnesses, distances, and spectrum information. |
Provider | David Nash |
Location | http://www.astronexus.com/hyg, https://github.com/astronexus/HYG-Database |
Formats | CSV |
Retrieval | Plain download |
Size | 33 MB |
Partitioned | No |
Records | 119615 |
Updates | Last on 3 years ago |
Documentation | http://www.astronexus.com/hyg |
10. Exoplanets
Item | Info |
---|---|
Name | NASA Exoplanet Archive |
Content description | Confirmed exoplanets |
Provider | NASA |
Location | https://exoplanetarchive.ipac.caltech.edu/, https://exoplanetarchive.ipac.caltech.edu/bulk_data_download/ (bulk) |
Formats | CSV (web interface), PDF (obtainable with wget) |
Retrieval | Via table in web interface or in bulk with wget |
Size | 1 MB (simple table in CSV), Not specified (bulk) |
Partitioned | Bulk: per exoplanet |
Records | 34031 (Summary reports in PDF) |
Updates | When new discoveries occur |
Documentation | https://exoplanetarchive.ipac.caltech.edu/docs/API_exoplanet_columns.html, http://irsa.ipac.caltech.edu/docs/batch_download_help.html (wget) |

中国食物成分数据库
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国家人口健康科学数据中心 收录
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github 收录
MOOCs Dataset
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www.kaggle.com 收录
Allen Brain Atlas
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portal.brain-map.org 收录
MealRec+
MealRec+数据集是由武汉理工大学研究团队创建的,旨在支持个性化和健康饮食推荐的研究。该数据集包含7280条记录,涵盖了餐食与菜品之间的关联信息,以及用户与餐食的交互数据。创建过程中,研究团队采用了模拟方法,从用户与菜品交互数据中推导出餐食与菜品的关联及用户与餐食的交互。此外,数据集还利用了世界卫生组织和英国食品标准局的两个著名营养标准来计算餐食的健康评分。MealRec+数据集的应用领域主要集中在通过分析用户偏好和餐食健康性,提供更健康的餐食推荐,以促进用户的健康饮食习惯。
arXiv 收录