Citation:

PANGAEA.875582

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Related to:

Pesant, Stephane; Not, Fabrice; Picheral, Marc; Kandels-Lewis, Stefanie; Le Bescot, Noan; Gorsky, G; Iudicone, Daniele; Karsenti, Eric; Speich, Sabrina; Troublé, Romain; Dimier, Céline; Searson, Sarah; Acinas, Silvia G; Bork, Peer; Boss, Emmanuel; Bowler, Chris; De Vargas, Colomban; Follows, Michael J; Grimsley, Nigel; Hingamp, Pascal; Jaillon, Olivier; Karp-Boss, Lee; Krzic, Uros; Ogata, Hiroyuki; Raes, Jeroen; Reynaud G., Emmanuel; Sardet, Christian; Sieracki, Michael E; Stemmann, Lars; Sullivan, Matthew B; Sunagawa, Shinichi; Velayoudon, Didier; Weissenbach, Jean; Wincker, Patrick (2015): Open science resources for the discovery and analysis of Tara Oceans data. Scientific Data, 2, 150023, https://doi.org/10.1038/sdata.2015.23

Pesant, Stephane; Tara Oceans Consortium, Coordinators; et al. (in prep.): Methodological and environmental context of Tara Oceans samples. Scientific Data

Speich, Sabrina; et al. (in prep.): Tara Oceans Data: Atmospheric and oceanographic context at the mesoscale, from remote sensing, arrays of Argo drifters and an onboard meteorological station.

Further details:

Boss, Emmanuel; Behrenfeld, Michael J (2010): In situ evaluation of the initiation of the North Atlantic phytoplankton bloom. Geophysical Research Letters, 37(18), n/a-n/a, https://doi.org/10.1029/2010GL044174

Morel, André; Huot, Y; Gentili, Bernard; Werdell, P Jeremy; Franz, B A (2007): Examining the consistency of products derived from various ocean color sensors in open ocean (Case 1) waters in the perspective of a multi-sensor approach. Remote Sensing of Environment, 111(1), 69-88, https://doi.org/10.1016/j.rse.2007.03.012

Project(s):

Fondation Tara Expeditions (FondTara)

Tara Oceans Expedition (Tara_Oceans_2009-2013)

wOrld oCEAN biOressources, biotechnologies and Earth-systeM servICeS (OCEANOMICS)

Coverage:

Median Latitude: 13.998831 * Median Longitude: -38.196532 * South-bound Latitude: -64.382200 * West-bound Longitude: -168.903100 * North-bound Latitude: 79.677700 * East-bound Longitude: 174.991700

Date/Time Start: 2009-09-05T00:00:00 * Date/Time End: 2013-12-06T09:30:00

Event(s):

TARA_2009-2013_EVENT_unknown * Date/Time Start: 2009-09-05T00:00:00 * Date/Time End: 2013-12-06T00:00:00 * Comment: This event is used to describe a few samples for which the sampling event is unknown

TARA_20090907T1530Z_001_EVENT_NET ([day] [water layer with no specific feature]) * Latitude: 44.401300 * Longitude: -9.827300 * Date/Time: 2009-09-07T15:30:00 * Campaign: (Lorient to Lisbon, Stations: TARA_001-002) * Basis: SV Tara * Method/Device: Plankton net, type=Bongo, mesh(µm)=300, mouth(m^2)=0.258319, length(m)=3 ([NET-BONGO-300])

TARA_20090907T1610Z_001_EVENT_NET ([day] [surface water layer (ENVO:00002042)]) * Latitude: 44.401300 * Longitude: -9.827300 * Date/Time: 2009-09-07T16:10:00 * Campaign: (Lorient to Lisbon, Stations: TARA_001-002) * Basis: SV Tara * Method/Device: Plankton net+sieve, type=Double, mesh(µm)=20, mouth(m^2)=0.192442, length(m)=2.5 ([NET-DOUBLE-20]+[SIEVE-180])

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	Sample ID	Sample ID		Pesant, Stephane	registered at PANGAEA, Data Publisher for Earth and Environmental Science	TARA_barcode#
2	Sample ID	Sample ID		Pesant, Stephane	registered at the BioSamples database	BioSamples accession number (SAMEA#)
3	Sample ID	Sample ID		Pesant, Stephane	registered at the European Nucleotides Archive (ENA)	ENA sample accession number (ERS#)
4	Basis of event	Basis		Pesant, Stephane
5	Campaign of event	Campaign		Pesant, Stephane
6	Station label	Station		Pesant, Stephane	registered at PANGAEA, Data Publisher for Earth and Environmental Science	TARA_station#
7	Method/Device of event	Method/Device		Pesant, Stephane
8	Event label	Event		Pesant, Stephane
9	Date/Time of event	Date/Time		Pesant, Stephane
10	Latitude of event	Latitude		Pesant, Stephane
11	Longitude of event	Longitude		Pesant, Stephane
12	Environmental feature	Env feature		Pesant, Stephane	terms registered at EnvO, the Environmental Ontology	[abbreviation], full name (ENVO:ID) from which this sample was collected
13	Depth, nominal	Depth nominal		Pesant, Stephane		from which this sample was collected
14	Depth, top/min	Depth top	m	Pesant, Stephane		from which this sample was collected
15	Depth, bottom/max	Depth bot	m	Pesant, Stephane		from which this sample was collected
16	Size fraction, lower threshold	Fraction lower	µm	Pesant, Stephane	described in Pesant et al. (2017)	used on board to prepare samples
17	Size fraction, upper threshold	Fraction upper	µm	Pesant, Stephane	described in Pesant et al. (2017)	used on board to prepare samples
18	Sample material	Samp mat		Pesant, Stephane		TARA_station#_environmental-feature_size-fraction
19	Sample method	Sample method		Pesant, Stephane	described in Pesant et al. (2017)	short label describing the target analysis (BGC=biogeochemistry, IMG=imaging, SEQ=sequencing) and specifics of the methodology and sampling device (N=net, W=pump/bottles/bucket, CW=concentrated by tangential filtration)
20	Sample code/label	Sample label		Pesant, Stephane		TARA_event-datetime_station#_event-type_environmental-feature_(depth)_protocol-label_size-fraction_sample-barcode
21	Environmental feature	Env feature		Pesant, Stephane	terms registered at EnvO, the Environmental Ontology	about the thickness of the layer that was sampled (e.g. discrete vs. vertical integration over a braod interval)
22	Environmental feature	Env feature		Pesant, Stephane	terms registered at EnvO, the Environmental Ontology	about the pelagic zone (e.g. epipelagic, mesopelagic or bathypelagic zone)
23	Environmental feature	Env feature		Pesant, Stephane	terms registered at EnvO, the Environmental Ontology	about the light environment (e.g. photic and/or aphotic zone)
24	Environmental feature	Env feature		Pesant, Stephane	terms registered at EnvO, the Environmental Ontology	about the oxygen environment (i.e. proximity to an oxygen minimum zone)
25	Environmental feature	Env feature		Pesant, Stephane	terms registered at EnvO, the Environmental Ontology	about the nutrient environment (i.e. proximity to a nutricline)
26	Environmental feature	Env feature		Pesant, Stephane	terms registered at EnvO, the Environmental Ontology	about the aggregation of photosynthetic organisms in the environment (i.e. proximity to a peak in fluorescence)
27	Environmental feature	Env feature		Pesant, Stephane	terms registered at EnvO, the Environmental Ontology	about vertical stratification in the environment (e.g. above or below the wind mixed layer depth)
28	Environmental feature	Env feature		Pesant, Stephane	terms registered at EnvO, the Environmental Ontology	about connectivity with the benthic environment (i.e. proximity to the sea floor)
29	Environmental feature	Env feature		Pesant, Stephane	terms registered at EnvO, the Environmental Ontology	about other information provided
30	Environmental feature	Env feature		Pesant, Stephane	terms registered at EnvO, the Environmental Ontology	about the oxygen environment (i.e. presence of an oxygen minimum zone at the sampling location)
31	Environmental feature	Env feature		Pesant, Stephane	terms registered at EnvO, the Environmental Ontology	about the nutrient environment (i.e. presence of a nutricline at the sampling location)
32	Environmental feature	Env feature		Pesant, Stephane	terms registered at EnvO, the Environmental Ontology	about the aggregation of photosynthetic organisms in the environment (i.e. presence of a peak in fluorescence at the sampling location)
33	Diffuse attenuation coefficient at 490 nm	Kd490	1/m	Chaffron, Samuel	calculated from AMODIS products	at the sampling location and date
34	Diffuse attenuation coefficient at 490 nm	Kd490	1/m	Chaffron, Samuel	calculated from AMODIS products	at the sampling location for a period of 8 days around the sampling date
35	Diffuse attenuation coefficient at 490 nm	Kd490	1/m	Chaffron, Samuel	calculated from AMODIS products	at the sampling location for a period of 30 days around the sampling date
36	Diffuse attenuation coefficient at 490 nm	Kd490	1/m	Ardyna, Mathieu	Calculated from GlobColour products (Morel's algorithm)	at the sampling location for a period of 8 days around the sampling date
37	Diffuse attenuation coefficient at 490 nm	Kd490	1/m	Ardyna, Mathieu	Calculated from GlobColour products (Lee's algorithm)	at the sampling location for a period of 8 days around the sampling date
38	Backscattering coefficient of particles, 470 nm	bbp470	1/m	Ardyna, Mathieu	Calculated from GlobColour products (GSM algorithm)	(443 nm) at the sampling location for a period of 8 days around the sampling date
39	Absorption coefficient, colored dissolved organic matter at given wavelength	acCDOM	1/m	Ardyna, Mathieu	Calculated from GlobColour products (GSM algorithm)	(443 nm) at the sampling location for a period of 8 days around the sampling date
40	Diffuse attenuation coefficient of PAR	Kd(PAR)	1/m	Chaffron, Samuel	calculated from 30-day avg. Kd490 (AMODIS) using eq. 9 in Morel et al. (2007)	Kd(PAR)1 is calculated for a layer, which thickness is equal to [Kd(490)]?1
41	Diffuse attenuation coefficient of PAR	Kd(PAR)	1/m	Chaffron, Samuel	calculated from 30-day avg. Kd490 (AMODIS) using eq. 9' in Morel et al. (2007)	Kd(PAR)2 is calculated for a layer, which thickness is equal to 2*[Kd(490)]?1
42	Depth of Secchi Disk	z(SD)	m	Pesant, Stephane	Measured in situ
43	Depth of the euphotic zone	z(eu)	m	Ardyna, Mathieu	Calculated from GlobColour products (GSM algorithm)	at the sampling location for a period of 8 days around the sampling date
44	Depth of the euphotic zone	z(eu)	m	Pesant, Stephane	calculated from z(Secchi Disk) and 30-day average daily PAR (AMODIS)	zeu(0.415) is the depth of the 0.415 mol quanta m^-2 day^-1 light level, zeu(1%) was calculated from z(SD) using equation 18 in Morel et al. (2007) and converted to zeu(0.415) using equations in Boss and Berhenfeld (2010)
45	Depth of the euphotic zone	z(eu)	m	Chaffron, Samuel	calculated from Kd(PAR)1 and 30-day avg. daily surface PAR (AMODIS)	zeu(0.415) is the depth of the 0.415 mol quanta m^-2 day^-1 light level, zeu(1%) was converted to zeu(0.415) using equations in Boss and Berhenfeld (2010
46	Depth of the euphotic zone	z(eu)	m	Chaffron, Samuel	calculated from Kd(PAR)2 and 30-day avg. daily surface PAR (AMODIS)	zeu(0.415) is the depth of the 0.415 mol quanta m^-2 day^-1 light level, zeu(1%) was converted to zeu(0.415) using equations in Boss and Berhenfeld (2010
47	Mixed layer depth, upper	UMLD	m	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	based on sigma theta
48	Mixed layer depth, upper	UMLD	m	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	based on temperature
49	Depth of chlorophyll maximum	D chl m	m	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings
50	Depth of maximum Brunt Väisälä frequency	Depth max Brunt Väisälä freq	m	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings
51	Depth of maximum oxygen concentration	Depth max O2	m	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings
52	Depth of minimum oxygen concentration	Depth min O2	m	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings
53	Depth of nitracline	Depth nitracline	m	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings
54	Temperature, water	Temp	°C	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at a depth of 10 m, below the surface
55	Temperature, water	Temp	°C	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the base of the euphotic zone (zeu(0.415)), calculated from Kd(PAR)1 (equation 9 in Morel et al. 2007), values of 30-day average daily surface PAR from AMODIS products, and equations in Boss and Berhenfeld (2010)
56	Temperature, water	Temp	°C	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the base of the euphotic zone (zeu(0.415)), calculated from Kd(PAR)2 (equation 9' in Morel et al. 2007), values of 30-day average daily surface PAR from AMODIS products, and equations in Boss and Berhenfeld (2010)
57	Temperature, water	Temp	°C	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the mixed layer (based on sigma theta)
58	Temperature, water	Temp	°C	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the mixed layer (based on temperature)
59	Temperature, water	Temp	°C	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum chlorophyll fluorescence
60	Temperature, water	Temp	°C	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum Brunt Väisälä frequency
61	Temperature, water	Temp	°C	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum oxygen concentration
62	Temperature, water	Temp	°C	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of minimum oxygen concentration
63	Temperature, water	Temp	°C	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the nitracline
64	Salinity	Sal		Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at a depth of 10 m, below the surface
65	Salinity	Sal		Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the base of the euphotic zone (zeu(0.415)), calculated from Kd(PAR)1 (equation 9 in Morel et al. 2007), values of 30-day average daily surface PAR from AMODIS products, and equations in Boss and Berhenfeld (2010)
66	Salinity	Sal		Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the base of the euphotic zone (zeu(0.415)), calculated from Kd(PAR)2 (equation 9' in Morel et al. 2007), values of 30-day average daily surface PAR from AMODIS products, and equations in Boss and Berhenfeld (2010)
67	Salinity	Sal		Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the mixed layer (based on sigma theta)
68	Salinity	Sal		Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the mixed layer (based on temperature)
69	Salinity	Sal		Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum chlorophyll fluorescence
70	Salinity	Sal		Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum Brunt Väisälä frequency
71	Salinity	Sal		Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum oxygen concentration
72	Salinity	Sal		Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of minimum oxygen concentration
73	Salinity	Sal		Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the nitracline
74	Density, sigma-theta (0)	Sigma-theta	kg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at a depth of 10 m, below the surface
75	Density, sigma-theta (0)	Sigma-theta	kg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the base of the euphotic zone (zeu(0.415)), calculated from Kd(PAR)1 (equation 9 in Morel et al. 2007), values of 30-day average daily surface PAR from AMODIS products, and equations in Boss and Berhenfeld (2010)
76	Density, sigma-theta (0)	Sigma-theta	kg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the base of the euphotic zone (zeu(0.415)), calculated from Kd(PAR)2 (equation 9' in Morel et al. 2007), values of 30-day average daily surface PAR from AMODIS products, and equations in Boss and Berhenfeld (2010)
77	Density, sigma-theta (0)	Sigma-theta	kg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the mixed layer (based on sigma theta)
78	Density, sigma-theta (0)	Sigma-theta	kg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the mixed layer (based on temperature)
79	Density, sigma-theta (0)	Sigma-theta	kg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum chlorophyll fluorescence
80	Density, sigma-theta (0)	Sigma-theta	kg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum Brunt Väisälä frequency
81	Density, sigma-theta (0)	Sigma-theta	kg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum oxygen concentration
82	Density, sigma-theta (0)	Sigma-theta	kg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of minimum oxygen concentration
83	Density, sigma-theta (0)	Sigma-theta	kg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the nitracline
84	Brunt-Väisälä frequency, squared	N**2	1/s²	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at a depth of 10 m, below the surface
85	Brunt-Väisälä frequency, squared	N**2	1/s²	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the base of the euphotic zone (zeu(0.415)), calculated from Kd(PAR)1 (equation 9 in Morel et al. 2007), values of 30-day average daily surface PAR from AMODIS products, and equations in Boss and Berhenfeld (2010)
86	Brunt-Väisälä frequency, squared	N**2	1/s²	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the base of the euphotic zone (zeu(0.415)), calculated from Kd(PAR)2 (equation 9' in Morel et al. 2007), values of 30-day average daily surface PAR from AMODIS products, and equations in Boss and Berhenfeld (2010)
87	Brunt-Väisälä frequency, squared	N**2	1/s²	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the mixed layer (based on sigma theta)
88	Brunt-Väisälä frequency, squared	N**2	1/s²	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the mixed layer (based on temperature)
89	Brunt-Väisälä frequency, squared	N**2	1/s²	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum chlorophyll fluorescence
90	Brunt-Väisälä frequency, squared	N**2	1/s²	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum Brunt Väisälä frequency
91	Brunt-Väisälä frequency, squared	N**2	1/s²	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum oxygen concentration
92	Brunt-Väisälä frequency, squared	N**2	1/s²	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of minimum oxygen concentration
93	Brunt-Väisälä frequency, squared	N**2	1/s²	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the nitracline
94	Chlorophyll a	Chl a	mg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at a depth of 10 m, below the surface
95	Chlorophyll a	Chl a	mg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the base of the euphotic zone (zeu(0.415)), calculated from Kd(PAR)1 (equation 9 in Morel et al. 2007), values of 30-day average daily surface PAR from AMODIS products, and equations in Boss and Berhenfeld (2010)
96	Chlorophyll a	Chl a	mg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the base of the euphotic zone (zeu(0.415)), calculated from Kd(PAR)2 (equation 9' in Morel et al. 2007), values of 30-day average daily surface PAR from AMODIS products, and equations in Boss and Berhenfeld (2010)
97	Chlorophyll a	Chl a	mg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the mixed layer (based on sigma theta)
98	Chlorophyll a	Chl a	mg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the mixed layer (based on temperature)
99	Chlorophyll a	Chl a	mg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum chlorophyll fluorescence
100	Chlorophyll a	Chl a	mg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum Brunt Väisälä frequency
101	Chlorophyll a	Chl a	mg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum oxygen concentration
102	Chlorophyll a	Chl a	mg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of minimum oxygen concentration
103	Chlorophyll a	Chl a	mg/m³	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the nitracline
104	Oxygen	O2	µmol/kg	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at a depth of 10 m, below the surface
105	Oxygen	O2	µmol/kg	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the base of the euphotic zone (zeu(0.415)), calculated from Kd(PAR)1 (equation 9 in Morel et al. 2007), values of 30-day average daily surface PAR from AMODIS products, and equations in Boss and Berhenfeld (2010)
106	Oxygen	O2	µmol/kg	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the base of the euphotic zone (zeu(0.415)), calculated from Kd(PAR)2 (equation 9' in Morel et al. 2007), values of 30-day average daily surface PAR from AMODIS products, and equations in Boss and Berhenfeld (2010)
107	Oxygen	O2	µmol/kg	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the mixed layer (based on sigma theta)
108	Oxygen	O2	µmol/kg	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the mixed layer (based on temperature)
109	Oxygen	O2	µmol/kg	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum chlorophyll fluorescence
110	Oxygen	O2	µmol/kg	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum Brunt Väisälä frequency
111	Oxygen	O2	µmol/kg	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum oxygen concentration
112	Oxygen	O2	µmol/kg	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of minimum oxygen concentration
113	Oxygen	O2	µmol/kg	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the nitracline
114	Nitrate	[NO3]-	µmol/l	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at a depth of 10 m, below the surface
115	Nitrate	[NO3]-	µmol/l	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the base of the euphotic zone (zeu(0.415)), calculated from Kd(PAR)1 (equation 9 in Morel et al. 2007), values of 30-day average daily surface PAR from AMODIS products, and equations in Boss and Berhenfeld (2010)
116	Nitrate	[NO3]-	µmol/l	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the base of the euphotic zone (zeu(0.415)), calculated from Kd(PAR)2 (equation 9' in Morel et al. 2007), values of 30-day average daily surface PAR from AMODIS products, and equations in Boss and Berhenfeld (2010)
117	Nitrate	[NO3]-	µmol/l	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the mixed layer (based on sigma theta)
118	Nitrate	[NO3]-	µmol/l	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the mixed layer (based on temperature)
119	Nitrate	[NO3]-	µmol/l	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum chlorophyll fluorescence
120	Nitrate	[NO3]-	µmol/l	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum Brunt Väisälä frequency
121	Nitrate	[NO3]-	µmol/l	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of maximum oxygen concentration
122	Nitrate	[NO3]-	µmol/l	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of minimum oxygen concentration
123	Nitrate	[NO3]-	µmol/l	Speich, Sabrina	calculated from in situ sensor data, calibrated using factory settings	at the depth of the nitracline

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Creative Commons Attribution 3.0 Unported (CC-BY-3.0)

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3557534 data points

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