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Metatheria
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Macropodidae (6)
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Reptilia
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Sauropterygia
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Synapsida
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Invertebrata
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Insecta
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Textulariina
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Plantae
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Paleogene
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Nanjemoy Formation (1)
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Coal Measures (1)
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Mesozoic
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Cretaceous
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Bulldog Shale (2)
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Lower Cretaceous
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Albian
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upper Albian (3)
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Aptian
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Shuaiba Formation (1)
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Muderong Shale (1)
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Middle Cretaceous
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Winton Formation (4)
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Toolebuc Formation (3)
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Upper Cretaceous
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Blackhawk Formation (1)
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Campanian (3)
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Castlegate Sandstone (1)
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Eagle Ford Formation (2)
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Horseshoe Canyon Formation (1)
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Jurassic
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Permian-Triassic boundary (6)
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upper Mesozoic (1)
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Vaca Muerta Formation (1)
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Paleozoic
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Cambrian
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Pennsylvanian
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Upper Carboniferous
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Devonian
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lower Paleozoic (10)
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Minnelusa Formation (1)
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Ordovician
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Upper Ordovician
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Permian
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Khuff Formation (1)
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Lower Permian
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Middle Permian (2)
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Permian-Triassic boundary (6)
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Silurian
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Llandovery (3)
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upper Paleozoic
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Tirrawarra Sandstone (5)
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Phanerozoic (17)
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Precambrian
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Gunflint Iron Formation (1)
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Johnnie Formation (1)
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Onverwacht Group (1)
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upper Precambrian
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Proterozoic
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Adelaidean (2)
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Bitter Springs Formation (10)
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Cahill Formation (1)
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Isan Orogeny (9)
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Kombolgie Formation (2)
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McNamara Group (3)
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Mesoproterozoic
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Belt Supergroup (1)
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Gawler Range Volcanics (8)
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Hiltaba Suite (4)
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Roper Group (5)
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Soldiers Cap Group (2)
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Neoproterozoic
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Burra Group (1)
-
Cryogenian (8)
-
Doushantuo Formation (2)
-
Ediacaran
-
Wonoka Formation (8)
-
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Marinoan (6)
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Otavi Group (1)
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Riphean (1)
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Sturtian (10)
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Vendian (18)
-
Wilpena Group (5)
-
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Paleoproterozoic
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Aphebian (1)
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Corella Formation (3)
-
Urquhart Shale (11)
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Willyama Supergroup (13)
-
-
Sinian
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Doushantuo Formation (2)
-
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Tapley Hill Formation (4)
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Windermere System (1)
-
-
-
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Vindhyan (1)
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igneous rocks
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igneous rocks
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gabbros (3)
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-
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ultramafics
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-
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volcanic rocks
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basalts
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flood basalts (3)
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volcanic ash (1)
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minerals
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carbonates
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rutile (3)
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phosphates
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silicates
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amphibole group
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clinoamphibole
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actinolite (1)
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tschermakite (2)
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orthoamphibole
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anthophyllite (1)
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-
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pyroxene group
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clinopyroxene
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diopside (1)
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hedenbergite (3)
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jadeite (2)
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orthopyroxene
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hypersthene (1)
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-
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wollastonite group
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bustamite (1)
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wollastonite (2)
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-
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framework silicates
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feldspar group
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alkali feldspar
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amazonite (2)
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microcline (2)
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orthoclase (1)
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plagioclase
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albite (3)
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-
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scapolite group
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meionite (1)
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scapolite (2)
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silica minerals
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coesite (1)
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jasper (2)
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opal
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opal-A (1)
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quartz (15)
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tridymite (1)
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zeolite group
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analcime (1)
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natrolite (1)
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-
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magnesian silicates (1)
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orthosilicates
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nesosilicates
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andalusite (2)
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garnet group
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hibschite (1)
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pyrope (1)
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spessartine (1)
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kyanite (2)
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olivine group
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fayalite (4)
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forsterite (1)
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phenakite group
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willemite (3)
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sillimanite (2)
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titanite group
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titanite (6)
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topaz (1)
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zircon group
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coffinite (4)
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thorite (4)
-
zircon (45)
-
-
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sorosilicates
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bertrandite (1)
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epidote group
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allanite (2)
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epidote (1)
-
-
ilvaite (1)
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kornerupine (1)
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melilite group
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melilite (1)
-
-
-
-
ring silicates
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beryl (1)
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cordierite (4)
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emerald (1)
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tourmaline group
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schorl (1)
-
-
-
sheet silicates
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chlorite group
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chlorite (8)
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clay minerals
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halloysite (4)
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kaolinite (11)
-
smectite (3)
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vermiculite (3)
-
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ekanite (1)
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hydrobiotite (2)
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illite (10)
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mica group
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biotite (9)
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celadonite (1)
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glauconite (1)
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muscovite (14)
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phengite (1)
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phlogopite (2)
-
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palygorskite (2)
-
sericite (2)
-
serpentine group
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antigorite (1)
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berthierine (1)
-
-
-
-
sulfates
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alunite (8)
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anhydrite (2)
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barite (3)
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gypsum (3)
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jarosite (3)
-
-
sulfides
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acanthite (1)
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aikinite (2)
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arsenopyrite (3)
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bismuthinite (2)
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bohdanowiczite (1)
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bornite (8)
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chalcocite (1)
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chalcopyrite (9)
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copper sulfides (1)
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galena (11)
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mawsonite (1)
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pyrite (26)
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sulfosalts
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meneghinite (1)
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sulfarsenites
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tennantite (2)
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sulfobismuthites (1)
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sulfovanadates
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sulvanite (1)
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-
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tellurides (2)
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tellurites (1)
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tungstates
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scheelite (3)
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wolframite (1)
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uranium minerals (5)
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vanadates
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carnotite (2)
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-
-
Primary terms
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absolute age (104)
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academic institutions (1)
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Africa
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East Africa
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Antarctica
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Far East
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asteroids (2)
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atmosphere (4)
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Australasia
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Victoria Australia
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Western Australia
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New Zealand
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Papua New Guinea
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bacteria (3)
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carbon
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Caribbean region
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GeoRef Categories
Era and Period
Epoch and Age
Book Series
Date
Availability
Tracking thermal histories through the detrital record using rutile U-Pb-He double-dating
Analysis of Global Design Standards to Assess Different Levels of Structural Seismic Protection
Ambient Noise Tomography: A Sensitive, Rapid, Passive Seismic Technique for Mineral Exploration
DECONSTRUCTING TAPHONOMY TO RECONSTRUCT THE MORPHOLOGY AND LIFE HABIT OF ATTENBORITES JANEAE AT NILPENA EDIACARA NATIONAL PARK
Fault3DNnet: A lightweight 3D seismic fault detection network with bidirectional decoding
Kerguelen Plume Drives the Eocene Directional Change in Australian Plate Motion
EBSD mapping of Cu-Fe-sulfides reveal microstructures enriched in critical/precious metals and resolve deformation histories
The Paleoproterozoic Trans-Australian Orogen: Its magmatic and tectonothermal record, links to northern Laurentia, and implications for supercontinent assembly
Functional morphology of the Ediacaran organism Tribrachidium heraldicum
Abstract Knowledge of subsurface stresses is critical to management and prediction of fluid behaviour in the Earth's crust. However, uncertainties associated with the estimation of vertical stress magnitudes are rarely explored. In settings where the principal stresses are close, small changes of only a few MPa can have drastic effects on, stress regime prediction, fault reactivation and expected fracture behaviour. Using petroleum datasets from the Moomba Gas Field in the Cooper Basin, Australia, we assess the effects of interpolation between gaps in density wireline logs that have been filtered to remove sections of poor density tool contact in coal-bearing sequences. In addition, we compare the sonic velocity–density Nafe–Drake and Gardner transforms by comparing estimates of density from sonic velocity against density from wireline logs. The results indicate that vertical stress could be underestimated by c. 3 MPa at c. 3 km in well Moomba 61, using traditional methods. The Gardner transform shows a stronger correlation between sonic and density values for rocks in the Cooper Basin. However, once calibrated to the regional sonic velocity–density trend, the Nafe–Drake transform better matches the density logging tool in Moomba 61. This study delivers a more robust workflow for estimating the vertical stress in basins with deep coal-bearing strata.