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  • American Geophysical Union  (236)
  • Copernicus  (128)
  • American Physical Society (APS)  (72)
  • PANGAEA
  • Pergamon Pr.
  • 2015-2019  (457)
  • 1955-1959  (3)
Collection
Keywords
Years
Year
  • 1
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    Unknown
    PANGAEA
    In:  Supplement to: McDonough, Liza K; Santos, Isaac R; Andersen, Martin; O'Carroll, Denis; Rutlidge, Helen; Meredith, Karina; Oudone, Phetdala; Baker, Andy (2018): Changes in global groundwater organic carbon driven by climate change and urbanization. EarthArXiv Preprints, 11 pp, https://doi.org/10.31223/osf.io/vmaku
    Publication Date: 2023-03-14
    Description: This data set is predominantly sourced from the National Water Quality Monitoring Council (https://www.waterqualitydata.us/portal) and contains water quality data for the United States as well as climate and other ancillary data. This data was used to develop a model to explain groundwater dissolved organic carbon concentrations in the manuscript "Changes in global groundwater organic carbon driven by climate change and urbanization". Units for variables are included in the file "Units for Variables". --- National Water Quality Monitoring Council water chemistry data (https://www.waterqualitydata.us/portal) was obtained from: Chapelle, F. H., Bradley, P. M., Journey, C. A., & McMahon, P. B. (2013). Assessing the Relative Bioavailability of DOC in Regional Groundwater Systems. Ground water 51(3), doi:10.1111/j.1745-6584.2012.00987.x. --- Water table depth data obtained from: Fan, Y., Li, H., & Miguez-Macho, G. (2013). Global patterns of groundwater table depth. Science, 339, 940–943, doi:10.1126/science.1229881. --- Climatic data obtained from www.worldclim.org: Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., & Jarvis, A. (2005). Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25, 1965-1978, doi:10.1002/joc.1276. --- Land use data obtained from: Channan, S., Collins, K., & Emanuel, W. R. (2014). Global mosaics of the standard MODIS land cover type data. University of Maryland and the Pacific Northwest National Laboratory, College Park, Maryland, USA. Retrieved from University of Maryland and the Pacific Northwest National Laboratory. - Friedl, M. A., Sulla-Menasche, D., Tan, B., Schneider, A., Ramankutty, N., Sibley, A., & Huang, X. (n.d.). MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets, 2001-2012. Collection 5.1 IGBP Land Cover. Boston University, Boston, MA, USA.
    Keywords: Age, comment; Alabama; Area/locality; Arkansas; Arsenic; Calcium; California; Carbon, organic, dissolved; Chloride; Colorado; Conductivity, electrical; Connecticut; Continent; Country; Delaware; Depth, groundwater table; Depth, well; ELEVATION; Event label; Florida; Fluoride; Georgia; Idaho; Illinois; Indiana; Iowa; Iron; Kansas; Land use; LATITUDE; Lithology/composition/facies; LONGITUDE; Louisiana; Magnesium; Manganese; Maryland; Massachusetts; Michigan; Minnesota; Mississippi; Missouri; MULT; Multiple investigations; Nebraska; Nevada; New Hampshire; New Jersey; New Mexico; New York; North Carolina; North Dakota; Number; Ohio; Oklahoma; Oxygen, dissolved; Pennsylvania; pH; Potassium; Precipitation, annual mean; Precipitation, mean; Precipitation of the driest month; Precipitation of the wettest month; Ratio; Sample ID; Silica, dissolved; Sodium; South Carolina; South Dakota; Sulfate; Temperature, annual range; Temperature, coldest month, minimum; Temperature, mean; Temperature, range daily; Temperature, warmest month, maximum; Temperature, water; Temperature, water, annual mean; Tennessee; Texas; United States; US-AL; US-AR; US-CA; US-CO; US-CT; US-DE; US-FL; US-GA; US-IA; US-ID; US-IL; US-IN; US-KS; US-LA; US-MA; US-MD; US-MI; US-MN; US-MO; US-MS; US-NC; US-ND; US-NE; US-NH; US-NJ; US-NM; US-NV; US-NY; US-OH; US-OK; US-PA; US-SC; US-SD; US-TN; US-TX; US-UT; US-VA; US-VT; US-WA; US-WI; US-WV; US-WY; Utah; Vermont; Virginia; Washington; West Virginia; Wisconsin; Wyoming
    Type: Dataset
    Format: text/tab-separated-values, 232522 data points
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  • 2
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    Unknown
    PANGAEA
    In:  Supplement to: Ericson, D; Baker, RN; Goldstein, RF (1955): Vema Cruise 07 - Preliminary Megascopic Descriptions of Split Cores. Lamont Geological Observatory, Columbia University, New York, unpublished, 8 pp, https://www.ngdc.noaa.gov/mgg/geology/data/vema/vm07/vm07_summary.pdf
    Publication Date: 2023-08-28
    Description: The cores and dredges described in this report were taken during the VEMA 7 Expedition from May until September 1955 by the Lamont Geological Observatory, Columbia University from the R/V Vema. A total of 78 cores were recovered and are available at Lamont-Doherty Earth Observatory for sampling and study.
    Keywords: Comment; Date/Time of event; Deposit type; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; Elevation of event; Event label; Latitude of event; Longitude of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; PC; Piston corer; Position; Quantity of deposit; Sample ID; Sediment type; Size; Substrate type; V07; V07-25; V07-61; V07-71; V07-8; Vema
    Type: Dataset
    Format: text/tab-separated-values, 50 data points
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  • 3
    Publication Date: 2024-02-10
    Keywords: 1,13-1,14-and 1,15-diols; BIT index; Branched and isoprenoid tetraether index; C32 1,15-diol; Center for Marine Environmental Sciences; DEPTH, water; Diol concentration, total; Elevation of event; Event label; GDGT; Latitude of event; Long chain alkyl diols; Long chain diol, C28 1,13-diol; Long chain diol, C28 1,14-diol; Long chain diol, C30 1,13-diol; Long chain diol, C30 1,14-diol; Long chain diol, C30 1,15-diol; Long chain diol, C32 1,15-diol; Long chain diol index; Longitude of event; MAO123; MAO128; MAO154; MAO155; MAO160; MAO165; MAO170; MAO173; MAO185; MAO189; MAO196; MAO199; MAO202; MAO204; MARUM; River; Season; STM67; STM73; STM75; STM76; STM80; STM82; Type; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 340 data points
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  • 4
    Publication Date: 2024-02-10
    Keywords: Amazon_basin; Brasil; File content; File format; File name; File size; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 15 data points
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  • 5
    Publication Date: 2024-02-10
    Keywords: (8) 20/09 BELEM MARG. ESQUERDA P.1.5M 0-4; 09/05_P99; 09/05 P99 MACAPA SUL MARG. DIREITA; 101_9/5_MACAPA; 101 9/5 MACAPA SUL ESQUERDA; 12/03_MCP; 12/03 MCP NORTEE MARGEM ESQ 0-2 PONTO; 13/05/11_BELEM; 13/05/11BELEM RIO PARA P40 MEIO CANAL 04; 14/09_MCP; 14/09_MCP_MEP; 14/09 MCP MEP SUL MARG. DIREITA PTO 4 CORE 0-4; 14/09 MCP PONTO 6 0-4; 20/09_BELEM; 20/09_BELEM_MARG; 20/09_BLM; 20/09 BELEM PTO 8 MARGEM ESQ. 0-4; 20/09 BLM MD PONTO2 0-4; 25/9/11_OBIDOS; 25/9/11 OBIDOS ME CORE 0-4; 7/5_MACAPA; 7/5_P95; 7/5 MACAPA NORTE P.94 ESQUERDA; 7/5 P95 MACAPA NORTE MEIO; 9/5_MACAPA; 9/5 MACAPA SUL PIOO MEIO; Aluminium/Silicon ratio; Area/locality; Average chain length; Calculated; Carbon, organic, total; Carbon Preference Index; Center for Marine Environmental Sciences; DEPTH, sediment/rock; Element analyser CS, LECO CS-200; Elevation of event; Event label; Latitude of event; Longitude of event; Madeira River; MAO_02c; MAO_02d; MAO_02e; MAO_02f_VGRAB; MAO_03a; MAO_03h; MAO_05d_VGRAB; MAO_08a; MAO_08b; MAO_09b; MAO_11a; MAO_11c; MAO_13b; MAO_13c; MAO_23a; MAO_24a; MAO_25a; MAO_25b; MAO_25d; MAO_25e; MAO_28a; MAO_28d; MAO_3; MAO_32; MAO_4; MAO_73; MAO_77_VGRAB; MAO_90; MARUM; MCP_SUL_P89; MCP SUL P89 ESQ P-2M; MIC; MiniCorer; n-Alkane C29-C31; n-Alkane C29-C32, δ13C; n-Alkane C29-C32, δD; Negro River; Para River; Sample code/label; Season; Solimoes River; van Veen Grab; VGRAB; XA_25; XA_30; XA_31; XA_33; XA_34; XA_35; XA_36; XA_38; XA_76; Xingu River
    Type: Dataset
    Format: text/tab-separated-values, 523 data points
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  • 6
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    Unknown
    PANGAEA
    In:  Supplement to: Häggi, Christoph; Sawakuchi, André Oliveira; Chiessi, Cristiano Mazur; Mulitza, Stefan; Mollenhauer, Gesine; Sawakuchi, Henrique O; Baker, Paul A; Zabel, Matthias; Schefuß, Enno (2016): Origin, transport and deposition of leaf-wax biomarkers in the Amazon Basin and the adjacent Atlantic. Geochimica et Cosmochimica Acta, 192, 149-165, https://doi.org/10.1016/j.gca.2016.07.002
    Publication Date: 2024-02-10
    Description: Paleoenvironmental studies based on terrigenous biomarker proxies from sediment cores collected close to the mouth of large river systems rely on a proper understanding of the processes controlling origin, transport and deposition of biomarkers. Here, we contribute to the understanding of these processes by analyzing long-chain n-alkanes from the Amazon River system. We use the dD composition of long-chain n-alkanes from river bed sediments from the Amazon River and its major tributaries, as well as marine core-top samples collected off northeastern South America as tracers for different source areas. The d13C composition of the same compounds is used to differentiate between long-chain n-alkanes from modern forest vegetation and petrogenic organic matter. Our d13C results show depleted d13C values (-33 to -36 per mil) in most samples, indicating a modern forest source for most of the samples. Enriched values (-31 to -33 per mil) are only found in a few samples poor in organic carbon indicating minor contributions from a fossil petrogenic source. Long-chain n-alkane dD analyses show more depleted values for the western tributaries, the Madeira and Solimões Rivers (-152 to -168 per mil), while n-alkanes from the lowland tributaries, the Negro, Xingu and Tocantins Rivers (-142 to -154 per mil), yield more enriched values. The n-alkane dD values thus reflect the mean annual isotopic composition of precipitation, which is most deuterium-depleted in the western Amazon Basin and more enriched in the eastern sector of the basin. Samples from the Amazon estuary show a mixed long-chain n-alkane dD signal from both eastern lowland and western tributaries. Marine core-top samples underlying the Amazon freshwater plume yield dD values similar to those from the Amazon estuary, while core-top samples from outside the plume showed more enriched values. Although the variability in the river bed data precludes quantitative assessment of relative contributions, our results indicate that long-chain n-alkanes from the Amazon estuary and plume represent an integrated signal of different regions of the onshore basin. Our results also imply that n-alkanes are not extensively remineralized during transport and that the signal at the Amazon estuary and plume includes refractory compounds derived from the western sector of the Basin. These findings will aid in the interpretation of plant wax-based records of marine sediment cores collected from the adjacent ocean.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 7
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    Unknown
    PANGAEA
    In:  Supplement to: Sun, Shuwen; Schefuß, Enno; Mulitza, Stefan; Chiessi, Cristiano Mazur; Sawakuchi, André Oliveira; Zabel, Matthias; Baker, Paul A; Hefter, Jens; Mollenhauer, Gesine (2017): Origin and processing of terrestrial organic carbon in the Amazon system: lignin phenols in river, shelf and fan sediments. Biogeosciences, 14, 2495-2512, https://doi.org/10.5194/bg-14-2495-2017
    Publication Date: 2024-02-10
    Description: The Amazon River transports large amounts of terrestrial organic carbon (OCterr) from the Andean and Amazon neotropical forests to the Atlantic Ocean. In order to compare the biogeochemical characteristics of OCterr in the fluvial sediments from the Amazon drainage basin and in the adjacent marine sediments, we analysed riverbed sediments from the Amazon mainstream and its main tributaries as well as marine surface sediments from the Amazon shelf and fan for total organic carbon (TOC) content, organic carbon isotopic composition (d13CTOC) and lignin phenol compositions. TOC and lignin content exhibit positive correlations with Al/Si ratios (indicative of the sediment grain size) implying that the grain size of sediment discharged by the Amazon River plays an important role in the preservation of TOC and leads to preferential preservation of lignin phenols in fine particles. Depleted d13CTOC values (-26.1 per mil to -29.9 per mil) in the main tributaries consistently correspond with the dominance of C3 vegetation. Ratios of syringyl to vanillyl (S/V) and cinnamyl to vanillyl (C/V) lignin phenols suggest that non-woody angiosperm tissues are the dominant source of lignin in the Amazon basin. Although the Amazon basin hosts a rich diversity of vascular plant types, distinct regional lignin compositions are not observed. In marine sediments, the distribution of d13CTOC and Lambda8 (sum of eight lignin phenols in organic carbon (OC), expressed as mg/100mg OC) values implies that OCterr discharged by the Amazon River is transported north-westward by the North Brazil Current and mostly deposited on the inner shelf. The lignin compositions in offshore sediments under the influence of the Amazon plume are consistent with the riverbed samples suggesting that processing of OCterr during offshore transport does not change the encoded source information. Therefore, the lignin compositions preserved in these offshore sediments can reliably reflect the vegetation in the Amazon River catchment. In sediments from the Amazon Fan, low lignin content, relatively depleted d13CTOC values and high (Ad/Al)V ratios indicating highly degraded lignin imply that a significant fraction of the deposited OCterr is derived from petrogenic (sourced from ancient rocks) sources.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 8
    Publication Date: 2024-02-10
    Keywords: Area/locality; Center for Marine Environmental Sciences; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Latitude of event; Longitude of event; Madeira River; MAO_02f; MAO_03c; MAO_05d; MAO_10d; MAO_13d; MAO_22b; MAO_22c; MAO_28c; MAO_38; MAO_42; MAO_45; MAO_72; MAO_77; MAO_80; MAO_81; MAO_83; MAO_93; MARUM; Negro River; Season; Solimoes River; Water sample; WS; XA_23; XA_26; XA_28; XA_39; XA_49; XA_53; XA_73; Xingu River; δ Deuterium; δ Deuterium, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 98 data points
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  • 9
    Publication Date: 2024-03-15
    Description: Diatoms, large bloom-forming marine microorganisms, build frustules out of silicate, which ballasts the cells and aids their export to the deep ocean. This unique physiology forges an important link between the marine silicon and carbon cycles. However, the effect of ocean acidification on the silicification of diatoms is unclear. Here we show that diatom silicification strongly diminishes with increased acidity in a natural Antarctic community. Analyses of single cells from within the community reveal that the effect of reduced pH on silicification differs among taxa, with several species having significantly reduced silica incorporation at CO2 levels equivalent to those projected for 2100. These findings suggest that, before the end of this century, ocean acidification may influence the carbon and silicon cycle by both altering the composition of the diatom assemblages and reducing cell ballasting, which will probably alter vertical flux of these elements to the deep ocean.
    Keywords: Abbreviation; Alkalinity, total; Antarctic; Aragonite saturation state; Bicarbonate ion; Biogenic silica; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Cell biovolume; Chlorophyll a; Coast and continental shelf; Containers and aquaria (20-1000 L or 〈 1 m**2); Davis_Station_OA; Entire community; EXP; Experiment; Experiment day; Fragilariopsis curta; Fragilariopsis cylindrus; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Identification; Laboratory experiment; Maximum photochemical quantum yield of photosystem II; Nitrate and Nitrite; Number of cells; OA-ICC; Ocean Acidification International Coordination Centre; Other metabolic rates; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phosphorus, reactive soluble; Polar; Primary production/Photosynthesis; Proboscia truncata; Proton concentration; Pseudonitzschia turgiduloides; Registration number of species; Replicate; Salinity; Silicate; Silicification; Species; Stellarima microtrias; Temperature, water; Thalassiosira antarctica; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 104844 data points
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  • 10
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    Unknown
    PANGAEA
    In:  Supplement to: 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
    Publication Date: 2024-02-10
    Description: The relative abundance of the C32 1,15 long-chain alkyl diol (LCD) is an emerging proxy for the input of riverine aquatic particulate organic carbon (POC) into coastal oceans. This compound has the potential to complement other established proxies reflecting riverine terrestrial POC input and allows for a more nuanced assessment of riverine POC export to coastal seas. The current understanding of this proxy is, however, limited. In this study, we compare different indices for riverine sediment input to coastal marine waters (i.e. C32 1,15-LCD, BIT index and Fe/Ca ratio) in a source-to-sink assessment in the Amazon River drainage system and the northeast South American continental margin, and we test their down-core applicability in a marine gravity core containing late Pleistocene fluvial Amazonian sediments. We show that the relative abundance of the C32 1,15-LCD is highest in water bodies with low flow velocity and low turbidity such as the downstream portion of lowland tributaries and floodplain lakes. Relative C32 1,15-LCD abundance is lowest in Andean white water tributaries where autotrophic productivity is hindered by high turbidity and high flow velocity. We also find that suspended particulate matter from all major tributaries during the extreme 2015 dry season has a similar LCD distribution to that of floodplain lakes. This indicates that the chemical composition of the tributaries is less relevant for the LCD distribution than their physical properties such as flow velocity and turbidity. Results from marine surface sediments offshore the Amazon River estuary show significant positive correlations between all three studied proxies. In contrast, we find that the relative C32 1,15-LCD abundance in the down-core record is anti-correlated to the BIT index and Fe/Ca ratio. While BIT index and Fe/Ca ratio show high (low) values during Heinrich stadials (Dansgaard-Oeschger interstadials), the C32 1,15-LCD proxy shows the opposite signal. BIT values are also higher during Marine Isotope Stage (MIS) 2 than during MIS 3, in contrast to trends in the C32 1,15-LCD proxy. We posit that this pattern arises from a reduction in relative C32 1,15-LCD abundance and total LCD productivity in the Amazon River during MIS 2 when less-humid conditions and lower sea level led to reduced area of floodplains. During Heinrich stadials, Andean sediment input increased and led to higher turbidity that resulted in lower C32 1,15-LCD production. Our study shows that major changes in water discharge, sediment transport and river morphology can lead to discrepancies between the BIT index and the relative abundance of the C32 1,15-LCD. Thus, we suggest that Amazonian aquatic and terrestrial POC pools had contrasting responses to changes related to both climate (e.g. increased Andean precipitation) and river morphology (e.g. steeper along-channel slope due to falling and low stand sea level).
    Keywords: 1,13-1,14-and 1,15-diols; Amazon River; Aquatic particulate organic carbon; BIT index; C32 1,15-diol; Center for Marine Environmental Sciences; Dansgaard-Oeschger events; GDGT; Heinrich Stadials; Long chain alkyl diols; Long chain diol index; MARUM; Pleistocene; Terrestrial particulate organic carbon
    Type: Dataset
    Format: application/zip, 5 datasets
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