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Unger, Daniela; Jennerjahn, Tim C (2009): Annual curves of delta15N from sediment traps in the Indian Ocean [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.754484, In supplement to: Unger, D; Jennerjahn, TC (2009): Impact of regional Indian Ocean characteristics on the biogeochemical variability of settling particles. In: Wiggert, J; Naqvi, SWA; Smith, S; Hood, RR (eds.) Indian Ocean Biogeochemical Processes and Ecological Variability. AGU, Geophysical Monograph Series, 185, 257-280, https://doi.org/10.1029/2008GM000703

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Coverage:
Median Latitude: 11.875553 * Median Longitude: 87.103333 * South-bound Latitude: 5.090000 * West-bound Longitude: 84.400000 * North-bound Latitude: 17.420000 * East-bound Longitude: 89.650000
Minimum DEPTH, water: 1000 m * Maximum DEPTH, water: 1000 m
Event(s):
CBBT  * Latitude: 13.116660 * Longitude: 84.400000 * Method/Device: Mooring (MOOR) * Comment: central Bay of Bengal trap
NBBT-N (Northern Bay of Bengal Trap Station - North)  * Latitude: 17.420000 * Longitude: 89.650000 * Elevation: -2267.0 m * Location: Bay of Bengal * Method/Device: Trap, sediment (TRAPS)
SBBT (Southern Bay of Bengal Trap Station)  * Latitude: 5.090000 * Longitude: 87.260000 * Elevation: -3995.0 m * Location: Indian Ocean * Method/Device: Trap, sediment (TRAPS)
Comment:
Depth, water = >1000 m
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Event labelEvent
DEPTH, waterDepth watermGeocode
Sampling dateSampling dateUnger, Danielaaverage of several years
Sampling dateSampling dateUnger, Danielaaverage of several years
Sample code/labelSample labelUnger, Daniela
Nitrogen, total, fluxN fluxmg/m2/dayUnger, Daniela
Nitrogen, total, flux, standard deviationN flux std dev±Unger, Daniela
δ15Nδ15N‰ airUnger, DanielaMass spectrometer Finnigan MAT 252
δ15N, standard deviationδ15N std dev±Unger, Daniela
Size:
504 data points

Data

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


Event

Depth water [m]

Sampling date
(average of several years)

Sampling date
(average of several years)

Sample label

N flux [mg/m2/day]

N flux std dev [±]

δ15N [‰ air]

δ15N std dev [±]
CBBT 10001. Jan.15. Jan.CBBT 11.3800.2804.7700.340
CBBT100016. Jan.31. Jan.CBBT 21.3700.2004.9000.210
CBBT10001. Feb.14. Feb.CBBT 31.1600.2004.8700.390
CBBT100015. Feb.28. Feb.CBBT 40.9600.1504.7200.700
CBBT10001. Mar15. Mrz.CBBT 50.7700.2504.7000.790
CBBT100016. Mrz.31. Mrz.CBBT 60.7800.2804.4400.310
CBBT10001. Apr.15. Apr.CBBT 70.7000.1704.4000.450
CBBT100016. Apr.30. Apr.CBBT 80.6700.1204.2500.500
CBBT10001. Mai.15. Mai.CBBT 90.7000.0904.1400.500
CBBT100016. Mai.31. Mai.CBBT 100.7900.0903.6700.310
CBBT10001. Jun.15. Jun.CBBT 110.9800.3203.6700.460
CBBT100016. Jun.30. Jun.CBBT 121.0500.4303.9200.560
CBBT10001. Jul.15. Jul.CBBT 131.0300.3603.9000.610
CBBT100015. Jul.11. Aug.CBBT 140.9400.3104.0100.520
CBBT10001. Aug.15. Aug.CBBT 150.9000.2304.0900.290
CBBT100016. Aug.31. Aug.CBBT 160.9000.2004.1700.410
CBBT10001. Sep.15. Sep.CBBT 170.8600.2304.1100.300
CBBT100016. Sep.30. Sep.CBBT 180.7900.2404.0200.180
CBBT10001. Okt.15. Okt.CBBT 190.8200.3103.8000.200
CBBT100016. Okt.31. Okt.CBBT 200.9700.2503.7800.230
CBBT10001. Nov.15. Nov.CBBT 211.0000.4103.5600.370
CBBT100016. Nov.30. Nov.CBBT 221.0800.4503.5000.770
CBBT10001. Dez.15. Dez.CBBT 231.0300.2504.1000.250
CBBT100016. Dez.31. Dez.CBBT 241.1200.1904.1500.100
SBBT 10001. Jan.15. Jan.SBBT 10.6730.2434.9230.718
SBBT100016. Jan.31. Jan.SBBT 20.7250.3255.4940.776
SBBT10001. Feb.14. Feb.SBBT 30.7800.1605.2651.090
SBBT100015. Feb.28. Feb.SBBT 40.8580.1714.5920.619
SBBT10001. Mar15. Mrz.SBBT 50.7820.2724.0730.763
SBBT100016. Mrz.31. Mrz.SBBT 60.7210.2124.3650.586
SBBT10001. Apr.15. Apr.SBBT 70.7600.1284.2080.345
SBBT100016. Apr.30. Apr.SBBT 80.7360.1783.9490.228
SBBT10001. Mai.15. Mai.SBBT 90.6490.1514.3990.575
SBBT100016. Mai.31. Mai.SBBT 100.6000.1404.3350.401
SBBT10001. Jun.15. Jun.SBBT 110.6950.3094.7170.740
SBBT100016. Jun.30. Jun.SBBT 120.8240.3815.1290.724
SBBT10001. Jul.15. Jul.SBBT 131.0410.4385.7961.012
SBBT100015. Jul.11. Aug.SBBT 141.5560.9476.0490.965
SBBT10001. Aug.15. Aug.SBBT 151.7410.6575.5310.680
SBBT100016. Aug.31. Aug.SBBT 161.6300.6415.5320.748
SBBT10001. Sep.15. Sep.SBBT 171.4510.6255.6040.548
SBBT100016. Sep.30. Sep.SBBT 181.2730.6675.2660.283
SBBT10001. Okt.15. Okt.SBBT 191.0390.4265.1880.304
SBBT100016. Okt.31. Okt.SBBT 200.9480.4465.0610.152
SBBT10001. Nov.15. Nov.SBBT 210.6150.2075.2880.361
SBBT100016. Nov.30. Nov.SBBT 220.6700.1685.4560.519
SBBT10001. Dez.15. Dez.SBBT 230.5600.3325.1220.687
SBBT100016. Dez.31. Dez.SBBT 240.5750.3374.6410.459
NBBT-N 10001. Jan.15. Jan.NBBT-N 10.9200.2303.5110.670
NBBT-N100016. Jan.31. Jan.NBBT-N 20.8460.1763.4890.487
NBBT-N10001. Feb.14. Feb.NBBT-N 30.8360.1623.4430.310
NBBT-N100015. Feb.28. Feb.NBBT-N 40.8440.1703.4170.541
NBBT-N10001. Mar15. Mrz.NBBT-N 50.8760.1173.3550.639
NBBT-N100016. Mrz.31. Mrz.NBBT-N 60.9500.2933.3140.498
NBBT-N10001. Apr.15. Apr.NBBT-N 70.9810.3703.4870.444
NBBT-N100016. Apr.30. Apr.NBBT-N 81.0180.4253.3740.292
NBBT-N10001. Mai.15. Mai.NBBT-N 91.1330.4713.2650.172
NBBT-N100016. Mai.31. Mai.NBBT-N 101.2040.6463.1250.482
NBBT-N10001. Jun.15. Jun.NBBT-N 111.3780.6023.1220.425
NBBT-N100016. Jun.30. Jun.NBBT-N 121.4410.5163.3130.266
NBBT-N10001. Jul.15. Jul.NBBT-N 131.2990.4923.2930.320
NBBT-N100015. Jul.11. Aug.NBBT-N 141.0830.4243.2940.262
NBBT-N10001. Aug.15. Aug.NBBT-N 151.0960.2353.4270.330
NBBT-N100016. Aug.31. Aug.NBBT-N 161.2850.1773.5140.304
NBBT-N10001. Sep.15. Sep.NBBT-N 171.1560.2383.3500.273
NBBT-N100016. Sep.30. Sep.NBBT-N 180.9630.1523.2630.234
NBBT-N10001. Okt.15. Okt.NBBT-N 190.7750.1103.2260.190
NBBT-N100016. Okt.31. Okt.NBBT-N 200.6180.1003.3370.255
NBBT-N10001. Nov.15. Nov.NBBT-N 210.6340.0753.3870.400
NBBT-N100016. Nov.30. Nov.NBBT-N 220.6590.1213.5570.613
NBBT-N10001. Dez.15. Dez.NBBT-N 230.7130.1943.6910.643
NBBT-N100016. Dez.31. Dez.NBBT-N 240.8120.1953.4760.608