Identification and pairing reassessment of unequilibrated ordinary chondrites from four Antarctic dense collection areas-Reference-Cited by-同舟云学术

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Identification and pairing reassessment of unequilibrated ordinary chondrites from four Antarctic dense collection areas

Published:2021-07-24 Issue:8 Volume:56 Page:1556-1573
ISSN:1086-9379
Container-title:Meteoritics & Planetary Science
language:en
Short-container-title:Meteorit Planet Sci

Author:

Righter Kevin¹^ORCID,Schutt John²,Lunning Nicole¹^ORCID,Harvey Ralph²,Karner James³,Yamaguchi Akira

Affiliation:

1. ARES Mailcode XI2 NASA‐JSC Houston Texas 77058 USA

2. Department of Earth, Environmental, and Planetary Science Case Western Reserve University 10900 Euclid Ave Cleveland Ohio 44106 USA

3. Department of Geology and Geophysics University of Utah Salt Lake City Utah 84113 USA

Funder

National Aeronautics and Space Administration

Publisher

Wiley

Subject

Space and Planetary Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/maps.13707

Reference39 articles.

1. Deuterium enrichments in chondritic macromolecular material—Implications for the origin and evolution of organics, water and asteroids

2. East Antarctic ice sheet stability recorded in a high-elevation ice-cored moraine

3. A 14.5-million-year record of East Antarctic Ice Sheet fluctuations from the central Transantarctic Mountains, constrained with cosmogenic <sup>3</sup>He, <sup>10</sup>Be, <sup>21</sup>Ne, and <sup>26</sup>Al

4. The non-trivial problem of meteorite pairing

5. Thermoluminescence sensitivity and thermal history of type 3 ordinary chondrites: Eleven new type 3.0-3.1 chondrites and possible explanations for differences among H, L, and LL chondrites

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cosmogenic radionuclides in meteorites from the Otway Massif blue ice area, Antarctica: An unusual, well‐preserved H5 chondrite strewn field;Meteoritics & Planetary Science;2024-09-12

2. Unexplored Antarctic meteorite collection sites revealed through machine learning;Science Advances;2022-01-28

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