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Data Publisher for Earth & Environmental Science

Zhang, Yancheng; Chiessi, Cristiano Mazur; Mulitza, Stefan; Sawakuchi, André Oliveira; Häggi, Christoph; Zabel, Matthias; Portilho-Ramos, Rodrigo Costa; Schefuß, Enno; Crivellari, Stefano; Wefer, Gerold (2017): (Table S1) Major element composition of river suspended material [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.882205, In supplement to: Zhang, Y et al. (2017): Different precipitation patterns across tropical South America during Heinrich and Dansgaard-Oeschger stadials. Quaternary Science Reviews, 177, 1-9, https://doi.org/10.1016/j.quascirev.2017.10.012

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

Source:
Bouchez, Julien; Gaillardet, J; France-Lanord, Christian; Maurice, Laurence; Dutra-Maia, Poliana (2011): Grain size control of river suspended sediment geochemistry: Clues from Amazon River depth profiles. Geochemistry, Geophysics, Geosystems, 12(3), Q03008, https://doi.org/10.1029/2010GC003380
Bouchez, Julien; Gaillardet, J; Lupker, Maarten; Louvat, Pascale; France-Lanord, Christian; Maurice, Laurence; Armijos, Elisa; Moquet, Jean-Sébastien (2012): Floodplains of large rivers: Weathering reactors or simple silos? Chemical Geology, 332-333, 166-184, https://doi.org/10.1016/j.chemgeo.2012.09.032
Govin, Aline; Chiessi, Cristiano Mazur; Zabel, Matthias; Sawakuchi, André Oliveira; Heslop, David; Hörner, Tanja; Zhang, Yancheng; Mulitza, Stefan (2014): Terrigenous input off northern South America driven by changes in Amazonian climate and the North Brazil Current retroflection during the last 250 ka. Climate of the Past, 10, 843-862, https://doi.org/10.5194/cp-10-843-2014
Sholkovitz, E R; van Grieken, R; Eisma, D (1978): The major-element composition of suspended matter in the Zaire river and estuary. Netherlands Journal of Sea Research, 12(3-4), 407-413, https://doi.org/10.1016/0077-7579(78)90042-X
Coverage:
Median Latitude: -3.790565 * Median Longitude: -58.841130 * South-bound Latitude: -14.470000 * West-bound Longitude: -73.910000 * North-bound Latitude: -2.000000 * East-bound Longitude: -51.691000
Event(s):
Amazonas_AM-08-05  * Latitude: -4.000000 * Longitude: -73.160000 * Location: Amazon
Beni_AM-07-04  * Latitude: -14.470000 * Longitude: -67.530000 * Location: Amazon
Beni_AM-07-09  * Latitude: -11.000000 * Longitude: -66.090000 * Location: Amazon
Comment:
Major element composition of river suspended material used for the endmember unmixing analysis (elemental proportions are given in weight percent and were calculated such as the sum of the six elements considered in this study is 100%).
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Event labelEventZhang, Yancheng
NumberNoZhang, Yancheng
RiverRiverZhang, Yancheng
Latitude of eventLatitudeZhang, Yancheng
Longitude of eventLongitudeZhang, Yancheng
AluminiumAl%Zhang, Yancheng
SiliconSi%Zhang, Yancheng
PotassiumK%Zhang, Yancheng
CalciumCa%Zhang, Yancheng
10 IronFe%Zhang, Yancheng
11 TitaniumTi%Zhang, Yancheng
12 Reference/sourceReferenceZhang, Yancheng
Size:
414 data points

Data

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


Event

No

River

Latitude

Longitude

Al [%]

Si [%]

K [%]

Ca [%]
10 
Fe [%]
11 
Ti [%]
12 
Reference
Madeira_MAO_22b 1Madeira MAO 22b-3.6400-59.020022.0960.005.120.7711.220.81This study
Madeira_MAO_25c 2Madeira MAO 25c-3.5300-58.910022.0460.005.170.7511.200.83This study
Madeira_MAO_28c 3Madeira MAO 28c-3.4400-58.800021.9960.005.220.7811.210.80This study
Madeira_MAO_38 4Madeira MAO 38-3.6600-59.070020.9560.005.610.7911.551.11This study
Madeira_MAO_42 5Madeira MAO 42-3.5200-58.900021.3960.005.270.6911.720.92This study
Madeira_MAO_45 6Madeira MAO 45-3.4200-58.790021.1060.005.240.6712.120.87This study
Madeira_AM-06-35 7Madeira AM-06-35-3.4100-58.790022.7557.665.940.6611.791.19Bouchez et al., 2011
Madeira_AM-06-38 8Madeira AM-06-38-3.4100-58.790019.3663.455.180.6510.201.16Bouchez et al., 2011
Madeira_AM-06-43 9Madeira AM-06-43-3.4100-58.780021.4760.135.630.6510.951.17Bouchez et al., 2011
Madeira_AM-05-15 10Madeira AM-05-15-3.4500-58.810022.4158.665.860.6911.221.17Bouchez et al., 2011
Beni_AM-07-09 11Beni AM-07-09-11.0000-66.090018.1165.715.290.489.341.07Bouchez et al., 2012
Madre_de_Dios_AM-07-14 12Madre de Dios AM-07-14-10.9600-66.100020.7660.454.811.2011.461.32Bouchez et al., 2012
Beni_AM-07-04 13Beni AM-07-04-14.4700-67.530020.4362.015.810.5710.131.05Bouchez et al., 2012
Solimoes_MAO_05d 14Solimões MAO 05d-3.2900-60.020028.5060.001.210.268.821.21This study
Solimoes_MAO_10d 15Solimões MAO 10d-3.2700-60.290022.2060.004.151.8610.691.10This study
Solimoes_MAO_13d 16Solimões MAO 13d-3.2000-59.890022.3260.004.051.7810.811.04This study
Solimoes_MAO_72 17Solimões MAO 72-3.2900-60.400019.7760.003.291.9414.050.96This study
Solimoes_MAO_77 18Solimões MAO 77-3.3100-60.040019.4660.003.351.8514.370.98This study
Solimoes_MAO_80 19Solimões MAO 80-3.2200-59.880019.9260.003.271.9113.891.02This study
Solimoes_AM-06-09 20Solimões AM-06-09-3.3100-60.550021.9859.204.611.9411.141.13Bouchez et al., 2011
Maranon_AM-08-24 21Marañón AM-08-24-4.5200-73.910019.9961.244.373.449.911.07Bouchez et al., 2012
Maranon_AM-08-33 22Marañón AM-08-33-4.4800-73.550019.9256.524.408.789.311.06Bouchez et al., 2012
Amazonas_AM-08-05 23Amazonas AM-08-05-4.0000-73.160019.1462.344.742.779.891.13Bouchez et al., 2012
Negro 24Negro-2.0000-61.200034.6045.001.800.9017.000.80Sholkovitz et al., 1978
Negro_MAO_01 25Negro MAO 01-3.0600-60.300038.2045.001.300.5013.501.50Govin et al., 2014
Negro_MAO_02f 26Negro MAO 02f-3.0500-60.350030.6045.005.702.5014.801.40Govin et al., 2014
Negro_MAO_03c 27Negro MAO 03c-3.0800-60.210038.3045.001.700.5013.201.40Govin et al., 2014
Negro_MAO_81 28Negro MAO 81-3.0200-60.440032.4045.002.501.3017.301.50Govin et al., 2014
Negro_MAO_83 29Negro MAO 83-3.0600-60.290033.4045.000.701.0018.401.40Govin et al., 2014
Negro_MAO_93 30Negro MAO 93-3.1800-60.000033.5045.000.000.8019.201.40Govin et al., 2014
Tapajos_STM_24 31Tapajós STM 24-2.8100-55.070037.4245.001.562.9812.050.99This study
Tapajos_STM_33 32Tapajós STM 33-3.5900-55.330040.4445.001.301.1011.180.98This study
Tapajos_STM_37 33Tapajós STM 37-2.4700-54.990036.9545.000.842.1014.061.05This study
Tapajos_STM_39 34Tapajós STM 39-2.4300-54.940035.2545.001.373.4214.030.92This study
Tapajos_STM_11 35Tapajós STM 11-2.4300-54.920033.9345.000.341.3418.480.91This study
Tapajos_STM_13 36Tapajós STM 13-2.8000-55.080034.2745.000.370.7518.730.88This study
Tapajos_STM_19 37Tapajós STM 19-2.4700-55.000031.2845.001.001.7120.280.73This study
Xingu_XA_01 38Xingu XA 01-3.2180-52.146034.0245.004.122.2213.591.04This study
Xingu_XA_19 39Xingu XA 19-3.8850-52.592035.3745.003.002.0713.441.12This study
Xingu_XA_23 40Xingu XA 23-3.4860-51.691036.7445.002.951.6612.561.08This study
Xingu_XA_26 41Xingu XA 26-2.6460-51.980034.9745.003.821.6813.401.13This study
Xingu_XA_28 42Xingu XA 28-3.0070-51.852035.2045.003.051.8313.841.08This study
Xingu_XA_39 43Xingu XA 39-3.2210-52.139033.0545.001.291.7617.761.13This study
Xingu_XA_49 44Xingu XA 49-3.4010-51.973033.8745.000.971.3517.801.01This study
Xingu_XA_53 45Xingu XA 53-2.6250-51.969030.6745.000.922.0820.520.81This study
Xingu_XA_73 46Xingu XA 73-2.2170-52.160029.3845.000.821.4422.600.76This study