Characterization of plagioclase-hosted melt inclusions in A91-1R (Blanco Transform Fault)

Creator(s):
Drignon, Melissa J
Nielsen, Roger L
Bodnar, Robert J
Tepley, Frank J
Abstract:
We present a database characterizing the composition and volatile contents of plagioclase-hosted melt inclusions from a unique sample from the Blanco Transform Fault (A91-1R). The melt inclusions were homogenized on a 1-atm vertical furnace at two temperatures from 30 min to 4 days to gain a better understanding of the post entrapment processes induced by the homogenization experiments. The composition and volatile contents of the melt inclusions indicate their mantle origins.
How to cite this dataset:
Drignon, M. J., Nielsen, R. L., Bodnar, R. J., Tepley, F. J., 2019. Characterization of plagioclase-hosted melt inclusions in A91-1R (Blanco Transform Fault), Version 1.0. Interdisciplinary Earth Data Alliance (IEDA). https://doi.org/10.1594/IEDA/111270. Accessed 2024-11-24.
DOI Creation Date:
2019-01-23
Related
Publication(s):
Drignon, Melissa J.; Nielsen, Roger L.; Tepley, Frank J. III; Bodnar, Robert J., (2018), "Upper Mantle Origin of Plagioclase Megacrysts from Plagioclase Ultraphyric MORB". Geology, 47(1): 43-46. Drignon, Melissa J.; Nielsen, Roger L.; Tepley, Frank J. III; Bodnar, Robert J., (2019), "Reequilibration processes occurring in plagioclase-hosted melt inclusions from plagioclase ultraphyric basalts", Geochemistry, Geophysics, Geosystems, 10.1029/2018GC007795.
License:
Creative Commons Attribution-ShareAlike 4.0 International [CC-BY-SA-4.0]
Funding source(s):
National Science Foundation: 1634206
National Science Foundation: 1634211
Keyword(s):
Coverage Scope: Regional (Continents, Oceans)
Geographic Location: Pacific Ocean, Blanco Fracture Zone
User Contributed Keyword(s):
plagioclase-hosted melt inclusions, spreading ridge, volatiles, chemistry
Data Available On:
2019-01-24
Resource Type:
Collection
Download File(s)
File Name
File Size
File Checksum
1270-1_Edited_IEDAA911Rdatabase.xls
363.5 KB

Related Information
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Samples in this dataset: