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Data Publisher for Earth & Environmental Science

Häggi, Christoph; Hopmans, Ellen C; Schefuß, Enno; Sawakuchi, André Oliveira; Schreuder, Laura T; Bertassoli Junior, Dailson José; Chiessi, Cristiano Mazur; Mulitza, Stefan; Sawakuchi, Henrique O; Baker, Paul A; Schouten, Stefan (2021): Riverbed levoglucosan data from the Amazon River System [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.931782, In: Häggi, C et al. (2021): Levoglucosan data from the Amazon River System and the tropical Atlantic Ocean [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.931789

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Keyword(s):
Amazon Rainforest; Amazon River; levoglucosan; marine deposition; marine sediment; pyrogenic carbon; river sediment; river transport; Suspended Particulate Matter (SPM); widfire
Related to:
Häggi, Christoph; Hopmans, Ellen C; Schefuß, Enno; Sawakuchi, André Oliveira; Schreuder, Laura T; Bertassoli Junior, Dailson José; Chiessi, Cristiano Mazur; Mulitza, Stefan; Sawakuchi, Henrique O; Baker, Paul A; Schouten, Stefan (2021): Negligible Quantities of Particulate Low-Temperature Pyrogenic Carbon Reach the Atlantic Ocean via the Amazon River. Global Biogeochemical Cycles, 35(9), https://doi.org/10.1029/2021GB006990
Funding:
Coordenação de Aperfeicoamento de Pessoal de Nível Superior (CAPES), grant/award no. 564/2015: CAPES grant 564/2015
Coordenação de Aperfeicoamento de Pessoal de Nível Superior (CAPES), grant/award no. 88881.313535/2019-01: CAPES grant 88881.313535/2019-01
European Commission (EC), grant/award no. 339206: Long chain diols as novel organic proxies for paleoclimate reconstructions
Sao Paulo Research Foundation (FAPESP), grant/award no. 11/06609-1: Provenance, transport and storage of sediments in Amazon rivers
Sao Paulo Research Foundation (FAPESP), grant/award no. 18/15123-4: Past perspectives on tipping elements of the climate system: the Amazon Rainforest and the Atlantic Meridional Overturning Circulation (PPTEAM)
Sao Paulo Research Foundation (FAPESP), grant/award no. 19/24349-9: Assessing the effects of past and future climate change on Amazonian biodiversity (CLAMBIO)
Sao Paulo Research Foundation (FAPESP), grant/award no. 19/24977-0: Environmental signals recorded in modern sediments of tropical South American rivers
Coverage:
Median Latitude: -2.356945 * Median Longitude: -55.889208 * South-bound Latitude: -3.680000 * West-bound Longitude: -60.384590 * North-bound Latitude: -0.051450 * East-bound Longitude: -48.906920
Minimum Elevation: -45.0 m * Maximum Elevation: -1.0 m
Event(s):
Amazon_estuary_7/5_MACAPA  * Latitude: -0.063640 * Longitude: -51.087600 * Elevation: -30.0 m * Location: Amazon estuary * Comment: 7/5 MACAPA NORTE P.94 ESQUERDA
Amazon_estuary_7/5_P95  * Latitude: -0.080660 * Longitude: -51.047130 * Elevation: -20.0 m * Location: Amazon estuary * Comment: 7/5 P95 MACAPA NORTE MEIO
Amazon_estuary_09/05  * Latitude: -0.169230 * Longitude: -50.607600 * Elevation: -2.0 m * Location: Amazon estuary * Comment: 09/05 P99 MACAPA SUL MARG. DIREITA
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Event labelEventHäggi, Christoph
Latitude of eventLatitudeHäggi, Christoph
Longitude of eventLongitudeHäggi, Christoph
Elevation of eventElevationmHäggi, Christoph
Sample code/labelSample labelHäggi, Christoph
SeasonSeasonHäggi, Christoph
RiverRiverHäggi, Christoph
TypeTypeHäggi, Christoph
Sample massSamp mgHäggi, Christoph
10 Carbon, organic, totalTOC%Häggi, Christoph*
11 Levoglucosan per unit sediment massLevoglucosan/sedng/gHäggi, Christoph
12 Levoglucosan per organic carbonLevoglucosan/OCng/gHäggi, Christoph
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
424 data points

Data

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


Event

Latitude

Longitude

Elevation [m]

Sample label

Season

River

Type

Samp m [g]
10 
TOC [%]
11 
Levoglucosan/sed [ng/g]
12 
Levoglucosan/OC [ng/g]
MAO02c -3.0807-60.3628-12MAO 02cDryNegroBlack13.421.280.4737
MAO02d -3.0700-60.3600MAO 02dDryNegroBlack20.061.441.94135
MAO02e -3.0600-60.3500MAO 02eDryNegroBlack12.692.930.8930
MAO02f -3.0500-60.3500MAO 02fDryNegroBlack20.371.220.5041
MAO03a -3.0500-60.2000MAO 03aDryNegroBlack37.992.130.5526
MAO03h -3.0500-60.2000MAO 03hDryNegroBlack15.960.530.66123
MAO3 -3.0859-60.2154-1MAO 3DryNegroBlack14.652.721.7865
MAO4 -3.1100-60.1500MAO 4DryNegroBlack20.922.311.8078
MAO90 -3.1442-60.0901-16MAO 90WetNegroBlack20.726.973.9256
MAO05d -3.2900-60.0200MAO 05dDrySolimoesWhite23.680.570.2036
MAO08a -3.2900-60.2000MAO 08ADrySolimoesWhite14.960.740.2939
MAO08b -3.3000-60.2100MAO 08bDrySolimoesWhite12.530.320.41128
MAO09b -3.2700-60.2900MAO 09bDrySolimoesWhite17.330.280.2590
MAO11a -3.2866-60.3846-21MAO 11aDrySolimoesWhite15.530.500.3367
MAO11c -3.3000-60.3800MAO 11cDrySolimoesWhite21.110.900.3842
MAO13b -3.2957-59.8791-14MAO 13bDrySolimoesWhite14.100.840.4958
MAO13c -3.2000-59.8800MAO 13cDrySolimoesWhite20.400.770.3242
MAO73 -3.2970-60.3167-8MAO 73WetSolimoesWhite20.700.660.2436
MAO77 -3.3097-60.0393-40MAO 77WetSolimoesWhite14.950.390.40102
MAO23a -3.6800-59.0800MAO 23aDryMadeiraWhite21.720.520.3975
MAO24a -3.5838-58.9571-2MAO 24aDryMadeiraWhite7.550.121.741442
MAO25a -3.5313-58.9023-8MAO 25aDryMadeiraWhite7.390.301.04353
MAO25b -3.5300-58.9100MAO 25bDryMadeiraWhite20.680.350.2881
MAO25d -3.5300-58.9100MAO 25dDryMadeiraWhite6.710.141.26910
MAO25e -3.5200-58.9100MAO 25eDryMadeiraWhite23.180.470.3371
MAO28a -3.4396-58.7913-4MAO 28aDryMadeiraWhite15.870.340.45131
MAO28d -3.4400-58.8000MAO 28dDryMadeiraWhite20.670.520.61117
MAO32 -3.3474-58.6892-2MAO 32DryMadeiraWhite17.010.180.23128
XA25 -2.6400-51.9700*XA 25DryXinguClear14.013.820.8723
XA30 -1.6900-52.2400*XA 30DryXingu Confl.Clear16.860.830.3239
XA31 -1.7900-52.2500*XA 31DryXingu Confl.Clear21.721.110.6457
XA34 -1.7900-52.2600*XA 34DryXingu Confl.Clear20.400.520.3873
XA35 -2.0400-52.1900*XA 35DryXinguClear13.313.071.6353
XA38 -2.4700-52.0200*XA 38DryXinguClear14.093.520.7220
XA33 -1.7900-52.2537-5XA 33DryXingu Confl.Clear17.131.910.5730
XA36 -2.2200-52.1300XA 36DryXinguClear16.683.245.66175
XA38-2.4700-52.0200XA 38DryXinguClear15.723.631.1933
XA76 -2.4615-52.0974-4XA 76WetXinguClear21.063.280.5517
Para_20/09_BELEM_MARG -1.5044-48.9103-2*(8) 20/09 BELEM MARG. ESQUERDA P.1,5M 0-4DryParaClear15.490.060.39637
Para_13/05/11_BELEM_RIO -1.5341-48.9191-40*13/05/11BELEM RIO PARA P40 MEIO CANAL 04WetParaClear6.791.480.9161
Para_20/09_BELEM_PTO -1.5044-48.9103-2*20/09 BELEM PTO 8 MARGEM ESQ. 0-4DryParaClear21.731.320.7254
Para_20/09_BLM_MD -1.5795-48.9069-5*20/09 BLM MD PONTO 2 0-4DryParaClear22.020.720.5069
Para_20/09_BLM_MD-1.5795-48.9069-520/09 BLM MD PONTO2 0-4DryParaClear23.050.750.3142
Amazon_estuary_09/05 -0.1692-50.6076-2*09/05 P99 MACAPA SUL MARG. DIREITAWetAmazon estuaryWhite21.460.720.2231
Amazon_estuary_101_9/5 -0.1291-50.6392-45*101 9/5 MACAPA SUL ESQUERDAWetAmazon estuaryWhite14.730.400.2051
Amazon_estuary_12/03_MCP_NORTEE -0.0515-50.0914-3"*12/03 MCP NORTEE MARGEM ESQ 0-2 PONTO"""WetAmazon estuaryWhite22.840.760.2635
Amazon_estuary_14/09_MCP_MEP -0.1978-50.5809-5*14/09 MCP MEP SUL MARG. DIREITA PTO 4 CORE 0-4DryAmazon estuaryWhite22.041.290.6047
Amazon_estuary_14/09_MCP_PONTO -0.1924-50.5645-4*14/09 MCP PONTO 6 0-4DryAmazon estuaryWhite12.700.800.3341
Amazon_estuary_25/09/11_OBIDOS -1.8850-55.5645-1*25/9/11 OBIDOS ME CORE 0-4DryAmazon estuaryWhite14.390.610.3354
Amazon_estuary_7/5_MACAPA -0.0636-51.0876-30*7/5 MACAPA NORTE P.94 ESQUERDAWetAmazon estuaryWhite9.520.130.57429
Amazon_estuary_7/5_P95 -0.0807-51.0471-20*7/5 P95 MACAPA NORTE MEIOWetAmazon estuaryWhite20.621.010.4545
Amazon_estuary_9/5_MACAPA -0.1507-50.6233-25*9/5 MACAPA SUL PIOO MEIOWetAmazon estuaryWhite15.390.260.39147
Amazon_estuary_MCP -0.1284-50.6578-2*MCP SUL P89 ESQ P-2MWetAmazon estuaryWhite19.940.620.1930