Ontology type: schema:ScholarlyArticle Open Access: True
2020-10-06
AUTHORSGo Murakami, Hajime Hayakawa, Hiroyuki Ogawa, Shoya Matsuda, Taeko Seki, Yasumasa Kasaba, Yoshifumi Saito, Ichiro Yoshikawa, Masanori Kobayashi, Wolfgang Baumjohann, Ayako Matsuoka, Hirotsugu Kojima, Satoshi Yagitani, Michel Moncuquet, Jan-Erik Wahlund, Dominique Delcourt, Masafumi Hirahara, Stas Barabash, Oleg Korablev, Masaki Fujimoto
ABSTRACTMercury has a unique and complex space environment with its weak global magnetic field, intense solar wind, tenuous exosphere, and magnetospheric plasma particles. This complex system makes Mercury an excellent science target to understand effects of the solar wind to planetary environments. In addition, investigating Mercury’s dynamic magnetosphere also plays a key role to understand extreme exoplanetary environment and its habitability conditions against strong stellar winds. BepiColombo, a joint mission to Mercury by the European Space Agency and Japan Aerospace Exploration Agency, will address remaining open questions using two spacecraft, Mio and the Mercury Planetary Orbiter. Mio is a spin-stabilized spacecraft designed to investigate Mercury’s space environment, with a powerful suite of plasma instruments, a spectral imager for the exosphere, and a dust monitor. Because of strong constraints on operations during its orbiting phase around Mercury, sophisticated observation and downlink plans are required in order to maximize science outputs. This paper gives an overview of the Mio spacecraft and its mission, operations plan, and data handling and archiving. More... »
PAGES113
http://scigraph.springernature.com/pub.10.1007/s11214-020-00733-3
DOIhttp://dx.doi.org/10.1007/s11214-020-00733-3
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"https://app.dimensions.ai/details/publication/pub.1131472603"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-20T07:37",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_843.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s11214-020-00733-3"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11214-020-00733-3'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11214-020-00733-3'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11214-020-00733-3'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11214-020-00733-3'
This table displays all metadata directly associated to this object as RDF triples.
377 TRIPLES
22 PREDICATES
118 URIs
91 LITERALS
6 BLANK NODES