/* DATA DESCRIPTION: Citation: Bertassoli Junior, Dailson José; Häggi, Christoph; Chiessi, Cristiano Mazur; Schefuß, Enno; Hefter, Jens; Akabane, Thomas K (2022): GDGT and n-alkane isotopic compositions in suspended sediments samples of the Amazon River Basin [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.945138, In: Bertassoli Junior, DJ et al. (2022): GDGT and n-alkane isotopic compositions in suspended sediments samples of the Amazon River Basin [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.945184 Keyword(s): Amazon; Amazon River; Biomarkers; BIT index; Carbon isotopes; Compound-specific Isotopes; GDGTs; hydrogen and carbon isotopes; Hydrogen isotopes; Hydrogen stable isotopes; Leaf wax; n-alkane; n-alkanes; Suspended particulate matter; Xingu River Related to: Bertassoli Junior, Dailson José; Häggi, Christoph; Chiessi, Cristiano Mazur; Schefuß, Enno; Hefter, Jens; Akabane, Thomas K; Sawakuchi, André Oliveira (2022): Controls on the distributions of GDGTs and n-alkane isotopic compositions in sediments of the Amazon River Basin. Chemical Geology, 594, 120777, https://doi.org/10.1016/j.chemgeo.2022.120777 Häggi, Christoph; Schefuß, Enno; Sawakuchi, André Oliveira; Chiessi, Cristiano Mazur; Mulitza, Stefan; Bertassoli Junior, Dailson José; Hefter, Jens; Zabel, Matthias; Baker, Paul A; Schouten, Stefan (2019): Modern and late Pleistocene particulate organic carbon transport by the Amazon River: Insights from long-chain alkyl diols. Geochimica et Cosmochimica Acta, 262, 1-19, https://doi.org/10.1016/j.gca.2019.07.018 Funding: German Research Foundation (DFG) (URI: http://www.dfg.de/en/), grant/award no. 49926684: EXC 309: The Ocean in the Earth System (URI: https://gepris.dfg.de/gepris/projekt/49926684?language=en) Coverage: MEDIAN LATITUDE: -2.784950 * MEDIAN LONGITUDE: -60.646900 * SOUTH-BOUND LATITUDE: -3.874000 * WEST-BOUND LONGITUDE: -68.075000 * NORTH-BOUND LATITUDE: -1.575000 * EAST-BOUND LONGITUDE: -52.232000 DATE/TIME START: 2015-10-04T00:00:00 * DATE/TIME END: 2015-11-22T00:00:00 MINIMUM ELEVATION: -54.0 m * MAXIMUM ELEVATION: -7.0 m Event(s): MAO123 * LATITUDE: -3.900000 * LONGITUDE: -61.400000 * ELEVATION: -23.0 m * METHOD/DEVICE: Water sample (WS) MAO128 * LATITUDE: -3.800000 * LONGITUDE: -62.100000 * ELEVATION: -38.0 m * METHOD/DEVICE: Water sample (WS) MAO154 * LATITUDE: -2.700000 * LONGITUDE: -65.600000 * ELEVATION: -27.0 m * METHOD/DEVICE: Water sample (WS) MAO155 * LATITUDE: -2.700000 * LONGITUDE: -65.800000 * ELEVATION: -9.0 m * METHOD/DEVICE: Water sample (WS) MAO160 * LATITUDE: -2.600000 * LONGITUDE: -65.800000 * ELEVATION: -10.0 m * METHOD/DEVICE: Water sample (WS) MAO165 * LATITUDE: -2.800000 * LONGITUDE: -66.900000 * ELEVATION: -7.0 m * METHOD/DEVICE: Water sample (WS) MAO170 * LATITUDE: -3.100000 * LONGITUDE: -68.100000 * ELEVATION: -25.0 m * METHOD/DEVICE: Water sample (WS) MAO173 * LATITUDE: -3.100000 * LONGITUDE: -68.000000 * ELEVATION: -14.0 m * METHOD/DEVICE: Water sample (WS) MAO185 * LATITUDE: -2.200000 * LONGITUDE: -65.100000 * ELEVATION: -17.0 m * METHOD/DEVICE: Water sample (WS) MAO189 * LATITUDE: -3.100000 * LONGITUDE: -64.800000 * ELEVATION: -27.0 m * METHOD/DEVICE: Water sample (WS) MAO196 * LATITUDE: -3.300000 * LONGITUDE: -60.600000 * ELEVATION: -21.0 m * METHOD/DEVICE: Water sample (WS) MAO199 * LATITUDE: -3.100000 * LONGITUDE: -60.100000 * ELEVATION: -21.5 m * METHOD/DEVICE: Water sample (WS) MAO202 * LATITUDE: -3.400000 * LONGITUDE: -58.800000 * ELEVATION: -13.0 m * METHOD/DEVICE: Water sample (WS) MAO204 * LATITUDE: -3.400000 * LONGITUDE: -58.800000 * ELEVATION: -20.0 m * METHOD/DEVICE: Water sample (WS) STM67 * LATITUDE: -2.200000 * LONGITUDE: -54.100000 * ELEVATION: -54.0 m * METHOD/DEVICE: Water sample (WS) STM73 * LATITUDE: -1.600000 * LONGITUDE: -52.500000 * ELEVATION: -30.0 m * METHOD/DEVICE: Water sample (WS) STM75 * LATITUDE: -1.900000 * LONGITUDE: -52.200000 * ELEVATION: -20.0 m * METHOD/DEVICE: Water sample (WS) STM76 * LATITUDE: -1.800000 * LONGITUDE: -52.200000 * ELEVATION: -32.0 m * METHOD/DEVICE: Water sample (WS) STM80 * LATITUDE: -2.500000 * LONGITUDE: -55.000000 * ELEVATION: -17.0 m * METHOD/DEVICE: Water sample (WS) STM82 * LATITUDE: -2.600000 * LONGITUDE: -55.000000 * ELEVATION: -13.0 m * METHOD/DEVICE: Water sample (WS) Comment: *BIT=(GDGT-Ia+GDGTIIa+GDGTIIIa)/(GDGT-4+GDGT4'+GDGT-Ia+GDGTIIa+GDGTIIIa) Parameter(s): Event label (Event) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) River (River) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) LATITUDE (Latitude) * GEOCODE * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) LONGITUDE (Longitude) * GEOCODE * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) DATE/TIME (Date/Time) * GEOCODE * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Acyclic glycerol dialkyl glycerol tetraether, fractional abundance (GDGT-0) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Monocyclic glycerol dialkyl glycerol tetraether, fractional abundance (GDGT-1) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Dicyclic glycerol dialkyl glycerol tetraether, fractional abundance (GDGT-2) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Tricyclic glycerol dialkyl glycerol tetraether, fractional abundance (GDGT-3) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Tetracyclic glycerol dialkyl glycerol tetraether, fractional abundance (GDGT-4) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Isoprenoid glycerol dialkyl glycerol tetraether, 4, fractional abundance (iso GDGT-4) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Glycerol dialkyl glycerol tetraethers, fractional abundance Ia (GDGT f(Ia)) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Glycerol dialkyl glycerol tetraethers, fractional abundance Ib (GDGT f(Ib)) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Glycerol dialkyl glycerol tetraethers, fractional abundance Ic (GDGT f(Ic)) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Glycerol dialkyl glycerol tetraethers, fractional abundance IIa5 (GDGT f(IIa5)) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Glycerol dialkyl glycerol tetraethers, fractional abundance IIb5 (GDGT f(IIb5)) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Glycerol dialkyl glycerol tetraethers, fractional abundance IIc5 (GDGT f(IIc5)) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Glycerol dialkyl glycerol tetraethers, fractional abundance IIa6 (GDGT f(IIa6)) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Glycerol dialkyl glycerol tetraethers, fractional abundance IIb6 (GDGT f(IIb6)) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Glycerol dialkyl glycerol tetraethers, fractional abundance IIc6 (GDGT f(IIc6)) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Glycerol dialkyl glycerol tetraethers, fractional abundance IIIa5 (GDGT f(IIIa5)) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Glycerol dialkyl glycerol tetraethers, fractional abundance IIIb5 (GDGT f(IIIb5)) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Glycerol dialkyl glycerol tetraethers, fractional abundance IIIc5 (GDGT f(IIIc5)) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Glycerol dialkyl glycerol tetraethers, fractional abundance IIIb6 (GDGT f(IIIb6)) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Glycerol dialkyl glycerol tetraethers, fractional abundance IIIc6 (GDGT f(IIIc6)) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Glycerol dialkyl glycerol tetraethers, fractional abundance IIIa6 (GDGT f(IIIa6)) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) Branched and isoprenoid tetraether index (BIT) * PI: Bertassoli Junior, Dailson José (https://orcid.org/0000-0003-3141-8533, dailson.bertassoli@gmail.com) * COMMENT: * License: Creative Commons Attribution 4.0 International (CC-BY-4.0) (URI: https://creativecommons.org/licenses/by/4.0/) Status: Curation Level: Enhanced curation (URI: https://wiki.pangaea.de/wiki/Curation_levels) Size: 460 data points */ Event River Latitude Longitude Date/Time GDGT-0 GDGT-1 GDGT-2 GDGT-3 GDGT-4 iso GDGT-4 GDGT f(Ia) GDGT f(Ib) GDGT f(Ic) GDGT f(IIa5) GDGT f(IIb5) GDGT f(IIc5) GDGT f(IIa6) GDGT f(IIb6) GDGT f(IIc6) GDGT f(IIIa5) GDGT f(IIIb5) GDGT f(IIIc5) GDGT f(IIIb6) GDGT f(IIIc6) GDGT f(IIIa6) BIT MAO189 Japurá -3.149 -64.788 2015-10-18 0.170155513 0.025680022 0.023694622 0.015378639 0.149484690 0.004632470 0.444921144 0.042910163 0.014736982 0.047224641 0.006956528 0.001613692 0.032689093 0.008118720 0.000845503 0.005301115 0 0 0.005656461 0 0 0.78 MAO185 Japurá -2.166 -65.084 2015-10-17 0.157489075 0.014970118 0.015916510 0.010712367 0.074941192 0.004272877 0.581518297 0.032727953 0.013102596 0.046395047 0.004193037 0.001771776 0.029321160 0.003532324 0.000874972 0.004510216 0 0 0.003750482 0 0 0.90 MAO173 Içá -3.127 -68.013 2015-10-16 0.181331860 0.014123216 0.015967292 0.007553085 0.041890171 0.002847195 0.588894802 0.035163545 0.014614389 0.046590335 0.003878761 0.001519085 0.033181675 0.004487687 0.000570974 0.003176268 0 0 0.004209662 0 0 0.94 MAO170 Içá -3.101 -68.075 2015-10-16 0.164707685 0.014387803 0.016122740 0.009628672 0.068283006 0.003802064 0.590415357 0.031335236 0.013916688 0.044439756 0.004318075 0.000784518 0.026998471 0.003165625 0.000407336 0.004001493 0 0 0.003285475 0 0 0.91 MAO155 Juruá -2.681 -65.817 2015-10-12 0.187983422 0.016072438 0.017291017 0.009012030 0.058642116 0.003720789 0.499353337 0.058745728 0.022962242 0.050962940 0.008005200 0.002469145 0.044046641 0.009623796 0.001279216 0.004149349 0 0 0.005680595 0 0 0.91 MAO160 Juruá -2.636 -65.765 2015-10-12 0.196684455 0.016568619 0.018127227 0.010598224 0.061850463 0.002918993 0.494034743 0.054632714 0.021084980 0.052824765 0.008421011 0.002937332 0.040698628 0.007941319 0.000877961 0.004136172 0 0 0.005662393 0 0 0.91 MAO165 Jutaí -2.791 -66.901 2015-10-14 0.178096289 0.013777135 0.016539494 0.009650781 0.048638084 0.002165120 0.635710176 0.017194404 0.009520003 0.039770369 0.001900797 0.000592943 0.019689236 0.001997497 0.000307867 0.002827894 0 0 0.001621910 0 0 0.93 STM67 Amazon -2.218 -54.070 2015-11-17 0.110708715 0.033943735 0.042861305 0.043293508 0.438386578 0.017193169 0.227926630 0.024370909 0.008370237 0.019563849 0.003100492 0.000865024 0.017756361 0.005325662 0.000716013 0.002128164 0 0 0.003489650 0 0 0.38 STM73 Amazon -1.575 -52.517 2015-11-19 0.083274938 0.034334890 0.046507632 0.047988389 0.505093723 0.020727536 0.185770699 0.024047200 0.006985855 0.015399067 0.001877536 0.000711669 0.017701874 0.005468653 0.000369512 0.001298623 0 0 0.002442204 0 0 0.31 MAO204 Madeira -3.424 -58.789 2015-10-27 0.104361213 0.037283396 0.054844951 0.041304584 0.343252802 0.014731498 0.264009277 0.044858496 0.010620340 0.030383321 0.004776571 0.001536013 0.031154852 0.008998075 0.000721035 0.002991028 0 0 0.004172547 0 0 0.49 MAO202 Madeira -3.382 -58.772 2015-10-25 0.115361837 0.027669462 0.041319107 0.032069219 0.237233267 0.011241472 0.355183524 0.055049609 0.014260257 0.044571608 0.006339022 0.001952058 0.037811405 0.009382573 0.000947983 0.004258544 0 0 0.005349052 0 0 0.65 MAO196 Solimões -3.296 -60.640 2015-10-22 0.161064943 0.032776343 0.034177747 0.027523858 0.273090893 0.009423313 0.333028768 0.034936475 0.011691134 0.033155741 0.005475327 0.001095065 0.025686308 0.006951519 0.001025531 0.004003282 0 0 0.004893752 0 0 0.59 MAO154 Solimões -2.667 -65.614 2015-10-11 0.183315740 0.022772757 0.021099697 0.011196931 0.097820924 0.003847631 0.434319190 0.058410249 0.020224762 0.055008239 0.010192408 0.001944680 0.048161414 0.013875587 0.001912176 0.006653086 0 0 0.009244527 0 0 0.85 MAO128 Solimões -3.836 -62.061 2015-10-05 0.177162810 0.021570752 0.024687274 0.017191554 0.173767325 0.006021964 0.418969744 0.043338643 0.013695686 0.045661826 0.006723662 0.001505099 0.032121707 0.007150768 0.001034854 0.004347441 0 0 0.005048892 0 0 0.74 STM76 Xingu -1.765 -52.247 2015-11-19 0.075528395 0.045037205 0.058305326 0.048375972 0.509862600 0.012677339 0.186415872 0.017350972 0.005156876 0.013702170 0.001684485 0.000931592 0.017078920 0.002792602 0.000483700 0.001834125 0 0 0.002781848 0 0 0.30 STM75 Xingu -1.888 -52.232 2015-11-19 0.077472472 0.031213921 0.034166588 0.024854083 0.301482024 0.009535752 0.387066918 0.038195231 0.013040711 0.031892609 0.004124246 0.001138498 0.032697069 0.004007629 0.000562383 0.003661211 0 0 0.004888654 0 0 0.60 STM82 Tapajós -2.553 -55.047 2015-11-22 0.131486653 0.027169925 0.026261232 0.012945765 0.221402462 0.012401794 0.420651483 0.044727619 0.018069301 0.034456897 0.003138726 0.005068143 0.023108191 0.004559648 0.002631476 0.004989099 0 0 0.006931586 0 0 0.69 STM80 Tapajós -2.470 -55.020 2015-11-22 0.105287422 0.025414540 0.027210198 0.019056262 0.227970284 0.007471682 0.432845690 0.054758696 0.015175089 0.035728271 0.004071720 0.003287330 0.026368887 0.005915015 0.001706844 0.003236060 0 0 0.004496009 0 0 0.69 MAO199 Negro -3.100 -60.097 2015-10-23 0.124818369 0.021099727 0.024121862 0.015668245 0.144211681 0.005261378 0.538471446 0.032873303 0.011762963 0.040083342 0.004285936 0.001684613 0.024698292 0.003840525 0.000677904 0.003671282 0 0 0.002769131 0 0 0.81 MAO123 Purus -3.874 -61.389 2015-10-04 0.156277862 0.031101546 0.029212822 0.022627152 0.272737509 0.006438869 0.388735001 0.020045355 0.006912895 0.035264027 0.002444170 0.000958638 0.018718365 0.002297112 0.000272622 0.003273202 0 0 0.002682851 0 0 0.62