Mass of particulate carbon and nitrogen in suspended matter as a function of volume filtered in several oceanic areas
| Cobertura |
MEDIAN LATITUDE: -1.982222 * MEDIAN LONGITUDE: 24.112222 * SOUTH-BOUND LATITUDE: -63.440000 * WEST-BOUND LONGITUDE: -9.150000 * NORTH-BOUND LATITUDE: 43.420000 * EAST-BOUND LONGITUDE: 66.310000 * DATE/TIME START: 1978-08-17T00:00:00 * DATE/TIME END: 1988-05-26T00:00:00 * MINIMUM DEPTH, water: 1 m * MAXIMUM DEPTH, water: 100 m |
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| Data(s) |
05/05/2014
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| Resumo |
We address two issues in the determination of particulate carbon and nitrogen in suspended matter of aquatic environments. One is the adsorption of dissolved organic matter on filters, leading to overestimate particulate matter. The second is the material loss during filtration due to fragile algal cells breaking up. Examples from both laboratory cultures and natural samples are presented. We recommend using stacked filters in order to estimate thefirst and filtering different volumes of water in order to evaluate the second. |
| Formato |
text/tab-separated-values, 147 data points |
| Identificador |
https://doi.pangaea.de/10.1594/PANGAEA.832270 doi:10.1594/PANGAEA.832270 |
| Idioma(s) |
en |
| Publicador |
PANGAEA |
| Direitos |
CC-BY: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted |
| Fonte |
Supplement to: Collos, Yves; Jauzein, Cécile; Hatey, Elise (2014): Particulate carbon and nitrogen determinations in tracer studies: The neglected variables. Applied Radiation and Isotopes, 94, 14-22, doi:10.1016/j.apradiso.2014.06.015 |
| Palavras-Chave | #Antarctic Ocean; ANTIPROD2; Antiprod2-202; Antiprod2-204; Antiprod2-214; APPA-DYFAMED; Carbon, organic, particulate; CIPREA-3W; CIPREA-4W; Date/Time of event; DEPTH, water; DYFAMED; Eastern Mediterranean; Equatorial Atlantic; Event label; GAP2; GF/C filtered; Indian Ocean; Latitude of event; Location of event; Longitude of event; Marion Dufresne; NE Atlantic; Nitrogen, organic, particulate; RCA-P4; RCA-P5; Time-series station; Volume; Water sample; Western Mediterranean; WS |
| Tipo |
Dataset |
