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Schmitt, Clemens; Vasiliev, Iuliana; Meijer, Niels; Brugger, Julia; Kaboth-Bahr, Stefanie; Bahr, André; Mulch, Andreas (2024): BrGDGT-based temperature evolution through an Eocene hyperthermal event [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.967147

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Published: 2024-09-23DOI registered: 2024-09-23

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Abstract:
Branched glycerol dialkyl glycerol tetraethers (brGDGTs) from maar sediments were analyzed in order to reconstruct continental air temperatures across a middle Eocene (47.2 Ma) hyperthermal event. Additionally, carbon isotopes of total organic carbon (δ13C TOC) were measured from the same samples to reconstruct changes in global and local carbon cycle. Measurements for both, brGDGTs and carbon isotopes, were carried out between beginning of 2021 and end of 2022. Based on the current age model the temporal resolution of the samples is millennial to sub-millennial. Sediment samples (organic-rich pelites) are from the FB2001 drill core, recovered from the Messel Fossil Site located in the vicinity of Frankfurt, Germany. The brGDGTs were solvent extracted by Soxhlet apparatus and further analyzed by high-performance liquid chromatography (HPLC-) - atmospheric pressure chemical ionization (APLCI-) - mass spectrometry (MS). Aliquots for total organic carbon isotope measurements were decalcified with HCl (10%) prior analyses on a Flash Elemental Analyzer.
Keyword(s):
brGDGTs; Eocene; hyperthermal event; maar lakes; terrestrial temperatures
Supplement to:
Schmitt, Clemens; Vasiliev, Iuliana; Meijer, Niels; Brugger, Julia; Kaboth-Bahr, Stefanie; Bahr, André; Mulch, Andreas (2024): Eocene maar sediments record warming of up to 3.5 °C during a hyperthermal event 47.2 million years ago. Communications Earth & Environment, 5(1), 471, https://doi.org/10.1038/s43247-024-01628-9
References:
Kaboth-Bahr, Stefanie; Schmitt, Clemens; Bauersachs, Thorsten; Zeeden, Christian; Wonik, Thomas; Schandl, Jonas; Lenz, Olaf K; Wedmann, Sonja; Vasiliev, Iuliana; Mulch, Andreas; Lourens, Lucas Joost; Pross, Jörg; Bahr, André (2024): Improved chronostratigraphy for the Messel Formation (Hesse, Germany) provides insight into early to middle Eocene climate variability. Newsletters on Stratigraphy, 103805, https://doi.org/10.1127/nos/2024/0799
Coverage:
Latitude: 49.913902 * Longitude: 8.754740
Date/Time Start: 2021-02-02T00:00:00 * Date/Time End: 2022-10-19T00:00:00
Minimum DEPTH, sediment/rock: 1.02 m * Maximum DEPTH, sediment/rock: 11.49 m
Event(s):
Messel_FB2001_2 * Latitude: 49.913902 * Longitude: 8.754740 * Date/Time Start: 2021-02-02T00:00:00 * Date/Time End: 2022-10-19T00:00:00 * Location: Messel, Germany * Method/Device: Core drilling (CDRILL)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Sample code/labelSample labelSchmitt, Clemens
DEPTH, sediment/rockDepth sedmSchmitt, ClemensGeocode
AGEAgeka BPSchmitt, ClemensGeocode
Isoprenoid acyclic glycerol dialkyl glycerol tetraether, fractional abundanceiso GDGT-0Schmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
Isoprenoid monocyclic glycerol dialkyl glycerol tetraether, fractional abundanceiso GDGT-1Schmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
Isoprenoid dicyclic glycerol dialkyl glycerol tetraether, fractional abundanceiso GDGT-2Schmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
Isoprenoid tricyclic glycerol dialkyl glycerol tetraether, fractional abundanceiso GDGT-3Schmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
Isoprenoid glycerol dialkyl glycerol tetraether, 4, fractional abundanceiso GDGT-4Schmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
Crenarchaeol isomer, fractional abundanceCren isoSchmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
10 Branched glycerol dialkyl glycerol tetraether, Ia, fractional abundancebrGDGT IaSchmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
11 Branched glycerol dialkyl glycerol tetraether, Ib, fractional abundancebrGDGT IbSchmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
12 Branched glycerol dialkyl glycerol tetraether, Ic, fractional abundancebrGDGT IcSchmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
13 Branched glycerol dialkyl glycerol tetraether, IIa, fractional abundancebrGDGT IIaSchmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
14 Branched glycerol dialkyl glycerol tetraether, IIa', fractional abundancebrGDGT IIa'Schmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
15 Branched glycerol dialkyl glycerol tetraether, IIb, fractional abundancebrGDGT IIbSchmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
16 Branched glycerol dialkyl glycerol tetraether, IIb', fractional abundancebrGDGT IIb'Schmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
17 Branched glycerol dialkyl glycerol tetraether, IIc, fractional abundancebrGDGT IIcSchmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
18 Branched glycerol dialkyl glycerol tetraether, IIc', fractional abundancebrGDGT IIc'Schmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
19 Branched glycerol dialkyl glycerol tetraether, IIIa, fractional abundancebrGDGT IIIaSchmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
20 Branched glycerol dialkyl glycerol tetraether, IIIa', fractional abundancebrGDGT IIIa'Schmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
21 Branched glycerol dialkyl glycerol tetraether, IIIb, fractional abundancebrGDGT IIIbSchmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
22 Branched glycerol dialkyl glycerol tetraether, IIIb', fractional abundancebrGDGT IIIb'Schmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
23 Branched glycerol dialkyl glycerol tetraether, IIIc, fractional abundancebrGDGT IIIcSchmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
24 Branched glycerol dialkyl glycerol tetraether, IIIc', fractional abundancebrGDGT IIIc'Schmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
25 Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraetherMBT5MESchmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
26 Cyclization ratio of branched tetraethers primeCBT'Schmitt, ClemensAtmospheric Pressure Chemical Ionization/High Performance Liquid Chromatography-Mass Spectrometer (APCI/HPLC-MS)
27 Temperature, air, annual meanMAAT°CSchmitt, Clemens
28 pHpHSchmitt, Clemens
29 Acyclic glycerol dialkyl glycerol tetraether/Crenarchaeol ratioGDGT-0/CrenSchmitt, ClemensCalculated
30 δ13C, total organic carbonδ13C TOC‰ PDBSchmitt, ClemensElemental analyser
31 Carbon, organic, totalTOC%Schmitt, ClemensCalculated
32 Sample commentSample commentSchmitt, Clemens
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
974 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Sample label

Depth sed [m]

Age [ka BP]

iso GDGT-0

iso GDGT-1

iso GDGT-2

iso GDGT-3

iso GDGT-4

Cren iso
10 
brGDGT Ia
11 
brGDGT Ib
12 
brGDGT Ic
13 
brGDGT IIa
14 
brGDGT IIa'
15 
brGDGT IIb
16 
brGDGT IIb'
17 
brGDGT IIc
18 
brGDGT IIc'
19 
brGDGT IIIa
20 
brGDGT IIIa'
21 
brGDGT IIIb
22 
brGDGT IIIb'
23 
brGDGT IIIc
24 
brGDGT IIIc'
25 
MBT5ME
26 
CBT'
27 
MAAT [°C]
28 
pH
29 
GDGT-0/Cren
30 
δ13C TOC [‰ PDB]
31 
TOC [%]
32 
Sample comment
not defined1.0247220.093-30.80δ13C TOC from Bauersachs et al., 2014
GM 14631.0947220.421-31.4140.9
GM 14611.2647221.2180.9365097330.0305568130.0216161160.0071299230.0041874150.0000000000.5543766220.1249619430.0165404170.0813388650.1208722800.0381701940.0117237020.0044531890.0138594160.0149499930.0182671640.0004862160.000000000000.833596429-0.55504865325.117.5224-30.9940.0
GM 14591.4847222.2500.9301745510.0280611320.0272816560.0088600430.0049106980.0007119210.5362139740.1086632290.0175068540.0774136730.1321003960.0330606100.0122157360.0031000980.0167256150.0379966190.0231175690.0014488430.000436784000.813784558-0.50842459024.407.6189-30.7241.3δ13C TOC from Kaboth-Bahr et al., (2024)
GM 14571.6847223.187-30.2144.2
GM 14551.8847224.1250.9280921410.0339357790.0256832150.0076355500.0046533150.0000000000.5275141460.1402195720.0196577920.0874681580.0843120900.0432832120.0126693570.0041795350.0158705110.0428323450.0182601050.0020920220.001641155000.794530114-0.63508719923.747.3199-31.5243.8
not defined1.9747224.546-31.10δ13C TOC from Bauersachs et al., 2014
GM 14532.0847225.063-32.1850.4
GM 14512.2847226.0000.8809042040.1087334190.0103623770.0000000000.0000000000.0000000000.5414749470.1086763100.0116302720.0845260190.1271067950.0357170090.0169052040.0032920660.0089610290.0371787380.0233876500.0011439610.000000000000.804602142-0.54749428424.227.5-30.5145.0δ13C TOC from Kaboth-Bahr et al., (2024)
GM 14502.3847226.4690.9136193020.0363559100.0351755240.0118982980.0029509670.0000000000.4816360930.1332706180.0130820790.1004429290.0984830670.0437049230.0156788960.0047232670.0215094860.0592858260.0266541240.0015286920.000000000000.751051836-0.56305662022.587.5310-29.9245.3
GM 14493.0847229.7510.9376076810.0313521810.0204084950.0056345190.0039190230.0010781010.4912701850.1560341100.0206556780.0985331680.1127688380.0390783100.0266011640.0027271080.0013398280.0235865510.0245355960.0013063320.001563132000.802947384-0.51481819624.157.6239-32.1748.6
GM 14483.1347229.9850.9441710490.0300735960.0176944650.0045460090.0032871140.0002277670.5014958410.1560689640.0193681150.0946789560.1145658600.0380012800.0275822710.0027798430.0011283660.0202759960.0226105450.0008430320.000600930000.812967607-0.52072162424.597.6287-32.6148.6
GM 14473.2847230.689-31.8944.2
GM 14463.3847231.1570.9438087970.0296974320.0160488180.0051055170.0045563180.0007831170.5077712810.1559016510.0151537990.0928269370.1158353230.0349489450.0284431260.0020072830.0013527340.0226116900.0211835830.0012218250.000741822000.816661576-0.53287111024.937.5207-31.5648.2
GM 14453.4847231.6260.9277387870.0387059850.0203319380.0055423360.0058134280.0018675260.5042846930.1488676050.0188934060.0970575330.1139821570.0341601070.0276320380.0024765210.0011536380.0268030770.0214839100.0017719040.001433412000.807220468-0.53187886424.417.5160-33.1448.8
GM 14443.5847232.0950.9137388170.0435674440.0282599630.0069001410.0062407420.0012928930.5305890910.1587183350.0186794860.0853755670.1094411620.0287641170.0239509980.0025555370.0012261990.0213152420.0179918980.0007276980.000664669000.836866559-0.56891689525.247.4146-32.8951.1
GM 14433.6847232.5640.9412059990.0311225450.0195457110.0047687770.0033569680.0000000000.5035572070.1741732040.0179791690.0948120260.1053466960.0341323290.0248618200.0017979170.0014327150.0228251170.0172768580.0010464440.000758496000.819178671-0.56880903124.627.4280-31.2754.4
not defined3.7647232.937-31.44δ13C TOC from Bauersachs et al., 2014
GM 14423.7847233.0330.9134195640.0420026270.0298970660.0068414760.0060711220.0017681460.5216220760.1434460710.0197290930.0891805490.1127376750.0327696450.0248191150.0026249370.0011946830.0213276120.0276375570.0017667840.001144203000.824361688-0.52835615324.877.5150-33.4354.7
GM 14413.8847233.5020.9257486570.0363513870.0215684900.0071006380.0072460430.0019847860.5959148470.1140863290.0162308390.0744893560.1093817380.0300701770.0182694950.0020817810.0008585880.0190927980.0171325520.0014388210.000952680000.852418884-0.62680891825.637.3128-33.2951.8
GM 14403.9447233.7830.9190580610.0356564020.0272666600.0091143100.0064257790.0024787870.5447162520.1161807390.0159986590.1066577280.1093241710.0345494850.0176747090.0020417340.0009637290.0267025240.0223981230.0018246090.000967538000.799312690-0.60771285624.227.3143-32.7842.0
GM 14394.0847234.4390.8941975070.0957291730.0100733200.0000000000.0000000000.0000000000.6405662350.1021100630.0149676860.0735699830.0938651510.0232125980.0140163500.0018773030.0008942560.0183290730.0159190220.0006722770.000000000000.866242223-0.71970734426.287.0-33.4842.2
GM 14384.1847234.9080.9008779740.0424990460.0376638250.0118590150.0071001400.0000000000.5829197350.1349793650.0153494230.0913798360.1015331510.0285487330.0201274540.0020724710.0008600460.0215608630.0000000000.0006689240.000000000000.836268025-0.70305213725.327.1127-34.0349.0
GM 14374.2847235.3770.9084766120.0454238310.0307830920.0040731290.0087093630.0025339740.5434930300.1385907230.0155439010.0978287450.1097855920.0301638630.0217397210.0019565750.0010598110.0225006110.0173374280.0000000000.000000000000.820663640-0.60334193724.737.4104-35.1748.7
GM 14364.3847235.8460.9452296820.0269434630.0171672560.0035041220.0071554770.0000000000.5798196980.1133869630.0090623670.0682898750.1421632000.0189837260.0282608420.0015247110.0005540500.0165355990.0208305600.0005884100.000000000000.869572154-0.51967257426.427.6132-30.0535.7
GM 14354.4847236.3150.9203266290.0349897770.0267415660.0068156260.0091598550.0019665470.6152434380.0928079080.0084465620.0498972860.1548536450.0142861610.0283116260.0010532130.0006673830.0122005900.0210121280.0005683180.000651741000.902464012-0.50050931327.587.6100-28.3021.2
GM 14344.5847236.7830.9619890100.0200562280.0146250730.0000000000.0033296890.0000000000.6043660990.1145983810.0067041700.0548222800.1453120680.0120542970.0309778910.0011525890.0006010640.0109644560.0176686260.0003091180.000468962000.901830092-0.52139738527.397.6289-27.9633.9
GM 14334.6847237.2520.9610653720.0226981990.0123331260.0000000000.0039033030.0000000000.6316227770.0688080680.0082922540.0571636260.1570235390.0174313770.0198661240.0014326190.0008609830.0136204690.0233241710.0005539930.000000000000.887711265-0.52568037226.987.6246-29.0934.5
GM 14324.7847237.7210.9573197070.0247286540.0128568790.0019878910.0031068690.0000000000.6386864720.0799291840.0101592230.0806761860.1075682480.0287595660.0152014850.0015836440.0007283270.0194593950.0162472870.0010009820.000000000000.848148696-0.69272497625.697.1308-27.7732.8
GM 14314.8847238.1900.9491313170.0251648600.0162878070.0024966710.0057859360.0011334090.5781069340.1087466020.0158432550.0834348930.1121839940.0365613570.0189994060.0024561730.0013405830.0222180560.0168119750.0019499390.001346833000.829270631-0.61342144625.027.3164-29.5736.6δ13C TOC from Kaboth-Bahr et al., (2024)
GM 14304.9747238.6120.9491255860.0257482380.0160645920.0020393370.0070222470.0000000000.6080892610.1020920500.0128312410.0769874480.1132496510.0289539750.0176290100.0021087870.0012329150.0181311020.0177405860.0009539750.000000000000.851410477-0.63574043725.757.3135-29.7139.3
GM 14295.0947239.1740.9445324880.0309033280.0140729000.0046275750.0058637080.0000000000.6081668110.0754284810.0084906410.0718742600.1492773080.0278019110.0140984120.0015836030.0018639920.0181660220.0223521050.0008964540.000000000000.852835404-0.55154551425.857.5161-29.3335.5
GM 14275.2847240.0650.9267365630.0364715680.0229762340.0067476670.0057654120.0013025560.5769648220.0839740880.0102825410.0782615650.1496681020.0231928430.0218789630.0017308940.0033418260.0252493520.0241068470.0006626530.000685503000.839387640-0.51066825825.577.6161-28.9930.8
GM 14235.6847241.9400.9260367060.0356536100.0263214570.0071067930.0048814340.0000000000.6179541280.1054960360.0122566590.0549671900.1191524810.0227379810.0187093290.0030010040.0044724860.0234890850.0167974270.0004677330.000498460000.875943563-0.60762261626.557.3190-30.1843.5
not defined5.7047242.031-28.02δ13C TOC from Bauersachs et al., 2014
GM 14196.0847243.816-26.8041.9
GM 14156.4847245.6910.9372422580.0322411340.0212941440.0060483370.0031741270.0000000000.6436866560.0718187430.0061388630.0631766530.1424454730.0202344090.0128737330.0013678340.0013708140.0146915520.0217244250.0004708450.000000000000.878859254-0.59214752226.607.4295-27.6435.2
GM 14116.8847247.566-29.1640.7
GM 14077.2847249.4420.9487217700.0314423120.0154485350.0017920300.0025953540.0000000000.7072632110.0865646480.0079737780.0412342640.1034952730.0176679270.0161933240.0010540680.0008274160.0090660770.0079737780.0004533040.000232933000.920739050-0.74366167128.027.0366-28.3038.5
GM 14027.7847252.309-27.5839.7
not defined7.9447253.274-25.10δ13C TOC from Bauersachs et al., 2014
GM 13988.1847254.7340.9334279990.0643167390.0022552620.0000000000.0000000000.0000000000.6292699900.0698489690.0072366050.0767709390.1409564780.0156688230.0147878450.0015731750.0014347360.0209546910.0210176180.0004801330.000000000000.860021453-0.59334411226.087.4-26.9532.2
GM 13978.2847255.341-26.7639.4
GM 13928.7847258.3730.9622555270.0187639830.0129663930.0035362890.0024778080.0000000000.5868197330.0724894960.0090242030.0932007810.1602658930.0194784700.0107994560.0016026590.0012476080.0229796630.0220920370.0000000000.000000000000.829614667-0.53854215025.237.5388-28.7438.6
not defined8.9947259.641-29.61δ13C TOC from Bauersachs et al., 2014
GM 13859.4947262.679-29.0146.5
GM 136511.4947274.8070.9606652090.0179354600.0126187140.0026926010.0049288290.0011591870.5661455710.1048915780.0162044040.1042191970.1015296690.0343587160.0160026900.0033350140.0027702130.0295848040.0182887880.0019700790.000699277000.800291271-0.65335020823.847.2195-29.3135.8δ13C TOC from Kaboth-Bahr et al., (2024)