CARNEGIE INSTITUTION OF WASHINGTON DEEP CARBON OBSERVATORY deepcarbon.net DANIEL HUMMER CARNEGIE INSTITUTION OF WASHINGTON BARBARA LAFUENTE UNIVERSITY OF ARIZONA
multi- disciplinary scientists investigating life, energy, and the fundamentally unique chemistry of carbon in deep Earth DEEP CARBON OBSERVATORY deepcarbon.net
5000 mineral species rruff.info/ima Hazen et al. (2015a) Canadian Mineral.; Hazen et al. (2015b) Am. Mineral.; Hystad et al. (2015a) Mathema0cal Geoscience; Hystad et al. (2015b) EPSL.
5000 mineral species rruff.info/ima Hazen et al. (2015a) Canadian Mineral.; Hazen et al. (2015b) Am. Mineral.; Hystad et al. (2015a) Mathema0cal Geoscience; Hystad et al. (2015b) EPSL. From more than 135,000 localities
5000 mineral species rruff.info/ima From more than 135,000 localities Hazen et al. (2015a) Canadian Mineral.; Hazen et al. (2015b) Am. Mineral.; Hystad et al. (2015a) Mathema0cal Geoscience; Hystad et al. (2015b) EPSL. More than 650,000 mineral species + locality mindat.org
Frequency spectrum observed expected (gigp) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 number of localities (m) number of minerals found in m localities 0 200 400 600 800 1000 The probability that the ith mineral species is found at m localities is given by a Sichel’s Generalized Inverse Gauss-Poission (GIGP)-type distribution function
Frequency spectrum observed expected (gigp) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 number of localities (m) number of minerals found in m localities 0 200 400 600 800 1000 The probability that the ith mineral species is found at m localities is given by a Sichel’s Generalized Inverse Gauss-Poission (GIGP)-type distribution function
Frequency spectrum observed expected (gigp) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 number of localities (m) number of minerals found in m localities 0 200 400 600 800 1000 The probability that the ith mineral species is found at m localities is given by a Sichel’s Generalized Inverse Gauss-Poission (GIGP)-type distribution function
Frequency spectrum observed expected (gigp) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 number of localities (m) number of minerals found in m localities 0 200 400 600 800 1000 We can thus predict the probability that the next mineral discovered is a new mineral
1000000 1500000 2000000 2500000 number of mineral counts (N) Number of known minerals 0 1000 2000 3000 4000 5000 6000 Data as of February 2014 4831 minerals 652,856 counts
1000000 1500000 2000000 2500000 number of mineral counts (N) 0 1000 2000 3000 4000 5000 6000 Extrapolated into the future: ~6437 minerals exist on Earth today Number of known minerals
1000000 1500000 2000000 2500000 number of mineral counts (N) 0 1000 2000 3000 4000 5000 6000 We predict that >1500 mineral species have yet to be discovered and described using what are now standard techniques But what are they? Number of known minerals
of mineral counts (N) 0 100 200 300 400 500 Carbon Minerals: Frequency Distribution Data as of today 406 carbon minerals 82,922 counts 406 carbon mineral species, known from 82,922 locality data, conform to an LNRE distribution 145 additional carbon mineral species exist on Earth but have yet to be discovered Number of known minerals
of the 145 “missing” carbon mineral species are carbonates 0 1000000 2000000 3000000 number of mineral counts (N) 0 100 200 300 400 500 Data as of today 378 C + O minerals 79,694 counts Expected C + O mineral species growth Number of known minerals
the 145 undiscovered carbon mineral species incorporate hydrogen, while 52 incorporate calcium. 0 100 200 300 0 20000 40000 60000 80000 number of mineral counts (N) 0 50 100 150 0 50000 100000 150000 number of mineral counts (N) Expected C + H mineral species growth Expected C + Ca mineral species growth Data as of today 282 C + H minerals 23,301 counts Data as of today 133 C + Ca minerals 40,280 counts We predict that 118 of the 145 undiscovered carbon mineral species incorporate hydrogen, while 52 incorporate calcium. C Mineral Subsets: Frequency Distribution Number of known minerals Number of known minerals
Thermonatrite Na2 CO3 .H2 O Trona Na3 (HCO3 )(CO3 ).2H2 O Wegscheiderite Na5 H3 (CO3 )4 Predicted (ICSD): Na2 CO3 .1.5H2 O Na2 CO3 .7H2 O Many phases in the system Na-C-O-H±Ca±REE
CARNEGIE INSTITUTION OF WASHINGTON DEEP CARBON OBSERVATORY deepcarbon.net DANIEL HUMMER CARNEGIE INSTITUTION OF WASHINGTON BARBARA LAFUENTE UNIVERSITY OF ARIZONA
a deliberate, targeted search? Expand our knowledge of the mineral kingdom Test our predictions of unknown carbon minerals Learn about the unique chemistry of carbon in nature
Downs Mark Feinglos Robert Hazen Jeffrey Post Kim Tait Raquel Alonso-Perez George Harlow Adrian Jones Vera Hammer Bin Lian Caloy Arcilla Sabine Verryn The advisory board consists of ~25 mineralogists from every region of the world: Help advertise to scientists and collectors in their region Assist with analysis when an interesting sample is found
to amateur and professional mineral collectors mineralchallenge.net DEEP CARBON OBSERVATORY deepcarbon.net Sponsored by the Deep Carbon Observatory New minerals verified by the International Mineralogical Association DCO will publicly recognize each discovery as it happens, and celebrate all discoveries at finale events in 2019
CARNEGIE INSTITUTION OF WASHINGTON DEEP CARBON OBSERVATORY deepcarbon.net DANIEL HUMMER CARNEGIE INSTITUTION OF WASHINGTON BARBARA LAFUENTE UNIVERSITY OF ARIZONA
AND PROPOSED NAME COMISSION OF NEW MINERALS NOMENCLATURE AND CLASIFICATION(CNMNC) HALF MEMBERS VOTE 2/3 VOTE YES APPROVED!! PUBLISH DESCRIPTION WITHIN 2 YEARS Nickel and Grice (1998) The Canadian Mineralogist
CARNEGIE INSTITUTION OF WASHINGTON DEEP CARBON OBSERVATORY deepcarbon.net DANIEL HUMMER CARNEGIE INSTITUTION OF WASHINGTON BARBARA LAFUENTE UNIVERSITY OF ARIZONA