Citation:

PANGAEA.875582

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Abstract:

The Tara Oceans Expedition (2009-2013) sampled the world oceans on board a 36 m long schooner, collecting environmental data and organisms from viruses to planktonic metazoans for later analyses using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. Data sets in this collection provide methodological and environmental context to all samples collected during the Tara Oceans Expedition (2009-2013).

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

Picheral, Marc; et al. (in prep.): Tara Oceans Data: Properties of seawater and particulate & dissolved matter from physical, optical and imaging sensors mounted on the vertical profile sampling system. 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.

Other version:

Tara Oceans Consortium, Coordinators; Tara Oceans Expedition, Participants (2015): Environmental context of all samples from the Tara Oceans Expedition (2009-2013), about depth specific features [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.853810

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_event-datetime_station#_event-type
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	Distance	Distance	km	Guidi, Lionel		interval between the location at which the sample was collected and that of the closest environmental context information
22	Duration	Duration		Guidi, Lionel	ISO 8601	interval between the date/time at which the sample was collected and that of the closest environmental context information
23	File name	File name		Guidi, Lionel		of sensor profiles that meet the criteria: distance lag <100 km and date/time lag <2 days
24	Number of observations	NOBS	#	Guidi, Lionel		that meet the criteria: 10 m around the environmental feature nominal depth, distance lag <100 km and date/time lag <2 days
25	Temperature, water	Temp	°C	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	minimum value in the selected environmental feature around the sampling date and location
26	Temperature, water	Temp	°C	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location
27	Temperature, water	Temp	°C	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location
28	Temperature, water	Temp	°C	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location
29	Temperature, water	Temp	°C	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	maximum value in the selected environmental feature around the sampling date and location
30	Conductivity	Cond	mS/cm	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	minimum value in the selected environmental feature around the sampling date and location
31	Conductivity	Cond	mS/cm	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location
32	Conductivity	Cond	mS/cm	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location
33	Conductivity	Cond	mS/cm	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location
34	Conductivity	Cond	mS/cm	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	maximum value in the selected environmental feature around the sampling date and location
35	Salinity	Sal		Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	minimum value in the selected environmental feature around the sampling date and location
36	Salinity	Sal		Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location
37	Salinity	Sal		Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location
38	Salinity	Sal		Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location
39	Salinity	Sal		Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	maximum value in the selected environmental feature around the sampling date and location
40	Temperature, water, potential	Tpot	°C	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	minimum value in the selected environmental feature around the sampling date and location
41	Temperature, water, potential	Tpot	°C	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location
42	Temperature, water, potential	Tpot	°C	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location
43	Temperature, water, potential	Tpot	°C	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location
44	Temperature, water, potential	Tpot	°C	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	maximum value in the selected environmental feature around the sampling date and location
45	Density, sigma-theta (0)	Sigma-theta	kg/m³	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	minimum value in the selected environmental feature around the sampling date and location
46	Density, sigma-theta (0)	Sigma-theta	kg/m³	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location
47	Density, sigma-theta (0)	Sigma-theta	kg/m³	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location
48	Density, sigma-theta (0)	Sigma-theta	kg/m³	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location
49	Density, sigma-theta (0)	Sigma-theta	kg/m³	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	maximum value in the selected environmental feature around the sampling date and location
50	Oxygen	O2	µmol/kg	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	minimum value in the selected environmental feature around the sampling date and location
51	Oxygen	O2	µmol/kg	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location
52	Oxygen	O2	µmol/kg	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location
53	Oxygen	O2	µmol/kg	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location
54	Oxygen	O2	µmol/kg	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	maximum value in the selected environmental feature around the sampling date and location
55	Oxygen	O2	µmol/kg	Guidi, Lionel	calculated from in situ sensor data, calibrated using WOA09 climatology	minimum value in the selected environmental feature around the sampling date and location
56	Oxygen	O2	µmol/kg	Guidi, Lionel	calculated from in situ sensor data, calibrated using WOA09 climatology	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location
57	Oxygen	O2	µmol/kg	Guidi, Lionel	calculated from in situ sensor data, calibrated using WOA09 climatology	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location
58	Oxygen	O2	µmol/kg	Guidi, Lionel	calculated from in situ sensor data, calibrated using WOA09 climatology	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location
59	Oxygen	O2	µmol/kg	Guidi, Lionel	calculated from in situ sensor data, calibrated using WOA09 climatology	maximum value in the selected environmental feature around the sampling date and location
60	Nitrate	[NO3]-	µmol/l	Guidi, Lionel	calculated from in situ sensor data, calibrated using water samples	minimum value in the selected environmental feature around the sampling date and location
61	Nitrate	[NO3]-	µmol/l	Guidi, Lionel	calculated from in situ sensor data, calibrated using water samples	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location
62	Nitrate	[NO3]-	µmol/l	Guidi, Lionel	calculated from in situ sensor data, calibrated using water samples	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location
63	Nitrate	[NO3]-	µmol/l	Guidi, Lionel	calculated from in situ sensor data, calibrated using water samples	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location
64	Nitrate	[NO3]-	µmol/l	Guidi, Lionel	calculated from in situ sensor data, calibrated using water samples	maximum value in the selected environmental feature around the sampling date and location
65	Chlorophyll a	Chl a	mg/m³	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	minimum value in the selected environmental feature around the sampling date and location
66	Chlorophyll a	Chl a	mg/m³	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location
67	Chlorophyll a	Chl a	mg/m³	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location
68	Chlorophyll a	Chl a	mg/m³	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location
69	Chlorophyll a	Chl a	mg/m³	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	maximum value in the selected environmental feature around the sampling date and location
70	Chlorophyll a	Chl a	mg/m³	Guidi, Lionel	calculated from in situ sensor data, NPQ corrected	minimum value in the selected environmental feature around the sampling date and location
71	Chlorophyll a	Chl a	mg/m³	Guidi, Lionel	calculated from in situ sensor data, NPQ corrected	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location
72	Chlorophyll a	Chl a	mg/m³	Guidi, Lionel	calculated from in situ sensor data, NPQ corrected	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location
73	Chlorophyll a	Chl a	mg/m³	Guidi, Lionel	calculated from in situ sensor data, NPQ corrected	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location
74	Chlorophyll a	Chl a	mg/m³	Guidi, Lionel	calculated from in situ sensor data, NPQ corrected	maximum value in the selected environmental feature around the sampling date and location
75	Chlorophyll a	Chl a	mg/m³	Guidi, Lionel	calculated from in situ sensor data, NPQ cor. and calibrated using water samples	minimum value in the selected environmental feature around the sampling date and location, fluorescence was corrected for Non-Photochemical Quenching (NPQ)
76	Chlorophyll a	Chl a	mg/m³	Guidi, Lionel	calculated from in situ sensor data, NPQ cor. and calibrated using water samples	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location, fluorescence was corrected for Non-Photochemical Quenching (NPQ)
77	Chlorophyll a	Chl a	mg/m³	Guidi, Lionel	calculated from in situ sensor data, NPQ cor. and calibrated using water samples	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location, fluorescence was corrected for Non-Photochemical Quenching (NPQ)
78	Chlorophyll a	Chl a	mg/m³	Guidi, Lionel	calculated from in situ sensor data, NPQ cor. and calibrated using water samples	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location, , fluorescence was corrected for Non-Photochemical Quenching (NPQ)
79	Chlorophyll a	Chl a	mg/m³	Guidi, Lionel	calculated from in situ sensor data, NPQ cor. and calibrated using water samples	maximum value in the selected environmental feature around the sampling date and location, fluorescence was corrected for Non-Photochemical Quenching (NPQ)
80	Angular scattering coefficient, 470 nm	beta470	m/sr	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	minimum value in the selected environmental feature around the sampling date and location, includes backscattering by particulate and dissolved matter and water molecules
81	Angular scattering coefficient, 470 nm	beta470	m/sr	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location, includes backscattering by particulate and dissolved matter and water molecules
82	Angular scattering coefficient, 470 nm	beta470	m/sr	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location, includes backscattering by particulate and dissolved matter and water molecules
83	Angular scattering coefficient, 470 nm	beta470	m/sr	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location, includes backscattering by particulate and dissolved matter and water molecules
84	Angular scattering coefficient, 470 nm	beta470	m/sr	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	maximum value in the selected environmental feature around the sampling date and location, includes backscattering by particulate and dissolved matter and water molecules
85	Angular scattering coefficient, 470 nm	beta470	m/sr	Guidi, Lionel	Calculated from in situ sensor data, in situ measurements in dark	minimum value in the selected environmental feature around the sampling date and location
86	Angular scattering coefficient, 470 nm	beta470	m/sr	Guidi, Lionel	Calculated from in situ sensor data, in situ measurements in dark	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location
87	Angular scattering coefficient, 470 nm	beta470	m/sr	Guidi, Lionel	Calculated from in situ sensor data, in situ measurements in dark	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location
88	Angular scattering coefficient, 470 nm	beta470	m/sr	Guidi, Lionel	Calculated from in situ sensor data, in situ measurements in dark	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location
89	Angular scattering coefficient, 470 nm	beta470	m/sr	Guidi, Lionel	Calculated from in situ sensor data, in situ measurements in dark	maximum value in the selected environmental feature around the sampling date and location
90	Angular scattering coefficient, 470 nm	beta470	m/sr	Guidi, Lionel	Calculated from in situ sensor data, corrected with in situ measurements in dark	minimum value in the selected environmental feature around the sampling date and location
91	Angular scattering coefficient, 470 nm	beta470	m/sr	Guidi, Lionel	Calculated from in situ sensor data, corrected with in situ measurements in dark	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location
92	Angular scattering coefficient, 470 nm	beta470	m/sr	Guidi, Lionel	Calculated from in situ sensor data, corrected with in situ measurements in dark	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location
93	Angular scattering coefficient, 470 nm	beta470	m/sr	Guidi, Lionel	Calculated from in situ sensor data, corrected with in situ measurements in dark	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location
94	Angular scattering coefficient, 470 nm	beta470	m/sr	Guidi, Lionel	Calculated from in situ sensor data, corrected with in situ measurements in dark	maximum value in the selected environmental feature around the sampling date and location
95	Optical backscattering coefficient, 470 nm	bb470	1/m	Guidi, Lionel	Calculated from in situ sensor data, corrected with in situ measurements in dark	minimum value in the selected environmental feature around the sampling date and location, includes backscattering by particulate and dissolved matter and water molecules
96	Optical backscattering coefficient, 470 nm	bb470	1/m	Guidi, Lionel	Calculated from in situ sensor data, corrected with in situ measurements in dark	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location, includes backscattering by particulate and dissolved matter and water molecules
97	Optical backscattering coefficient, 470 nm	bb470	1/m	Guidi, Lionel	Calculated from in situ sensor data, corrected with in situ measurements in dark	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location, includes backscattering by particulate and dissolved matter and water molecules
98	Optical backscattering coefficient, 470 nm	bb470	1/m	Guidi, Lionel	Calculated from in situ sensor data, corrected with in situ measurements in dark	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location, includes backscattering by particulate and dissolved matter and water molecules
99	Optical backscattering coefficient, 470 nm	bb470	1/m	Guidi, Lionel	Calculated from in situ sensor data, corrected with in situ measurements in dark	maximum value in the selected environmental feature around the sampling date and location, includes backscattering by particulate and dissolved matter and water molecules
100	Backscattering coefficient of particles, 470 nm	bbp470	1/m	Guidi, Lionel	Calculated from in situ sensor data, corrected with in situ measurements in dark	minimum value in the selected environmental feature around the sampling date and location
101	Backscattering coefficient of particles, 470 nm	bbp470	1/m	Guidi, Lionel	Calculated from in situ sensor data, corrected with in situ measurements in dark	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location
102	Backscattering coefficient of particles, 470 nm	bbp470	1/m	Guidi, Lionel	Calculated from in situ sensor data, corrected with in situ measurements in dark	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location
103	Backscattering coefficient of particles, 470 nm	bbp470	1/m	Guidi, Lionel	Calculated from in situ sensor data, corrected with in situ measurements in dark	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location
104	Backscattering coefficient of particles, 470 nm	bbp470	1/m	Guidi, Lionel	Calculated from in situ sensor data, corrected with in situ measurements in dark	maximum value in the selected environmental feature around the sampling date and location
105	Fluorescence, colored dissolved organic matter	fCDOM	ppb (QSE)	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	minimum value in the selected environmental feature around the sampling date and location, expressed in ppb QSE (i.e. fluorescence emitted by 1 ppb of quinine sulfate diluted in 0.05 M sulfuric acid)
106	Fluorescence, colored dissolved organic matter	fCDOM	ppb (QSE)	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location, expressed in ppb QSE (i.e. fluorescence emitted by 1 ppb of quinine sulfate diluted in 0.05 M sulfuric acid)
107	Fluorescence, colored dissolved organic matter	fCDOM	ppb (QSE)	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location, expressed in ppb QSE (i.e. fluorescence emitted by 1 ppb of quinine sulfate diluted in 0.05 M sulfuric acid)
108	Fluorescence, colored dissolved organic matter	fCDOM	ppb (QSE)	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location, expressed in ppb QSE (i.e. fluorescence emitted by 1 ppb of quinine sulfate diluted in 0.05 M sulfuric acid)
109	Fluorescence, colored dissolved organic matter	fCDOM	ppb (QSE)	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	maximum value in the selected environmental feature around the sampling date and location, expressed in ppb QSE (i.e. fluorescence emitted by 1 ppb of quinine sulfate diluted in 0.05 M sulfuric acid)
110	Optical beam attenuation coefficient, 660 nm	bac660	1/m	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	minimum value in the selected environmental feature around the sampling date and location, includes attenuation by particulate and dissolved matter and water molecules
111	Optical beam attenuation coefficient, 660 nm	bac660	1/m	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location, includes attenuation by particulate and dissolved matter and water molecules
112	Optical beam attenuation coefficient, 660 nm	bac660	1/m	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location, includes attenuation by particulate and dissolved matter and water molecules
113	Optical beam attenuation coefficient, 660 nm	bac660	1/m	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location, includes attenuation by particulate and dissolved matter and water molecules
114	Optical beam attenuation coefficient, 660 nm	bac660	1/m	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	maximum value in the selected environmental feature around the sampling date and location, includes attenuation by particulate and dissolved matter and water molecules
115	Beam attenuation coefficient of particles	bacp	1/m	Guidi, Lionel	Calculated from in situ sensor data, corrected for temperature drift	minimum value in the selected environmental feature around the sampling date and location, corrected for temperature drift of the sensor, using c(660) value at depth (assumed to be close to the attenuation coefficient of pure seawater)
116	Beam attenuation coefficient of particles	bacp	1/m	Guidi, Lionel	Calculated from in situ sensor data, corrected for temperature drift	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location, corrected for temperature drift of the sensor, using c(660) value at depth (assumed similar to pure seawater)
117	Beam attenuation coefficient of particles	bacp	1/m	Guidi, Lionel	Calculated from in situ sensor data, corrected for temperature drift	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location, corrected for temperature drift of the sensor, using c(660) value at depth (assumed similar to pure seawater)
118	Beam attenuation coefficient of particles	bacp	1/m	Guidi, Lionel	Calculated from in situ sensor data, corrected for temperature drift	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location, corrected for temperature drift of the sensor, using c(660) value at depth (assumed similar to pure seawater)
119	Beam attenuation coefficient of particles	bacp	1/m	Guidi, Lionel	Calculated from in situ sensor data, corrected for temperature drift	maximum value in the selected environmental feature around the sampling date and location, corrected for temperature drift of the sensor, using c(660) value at depth (assumed to be close to the attenuation coefficient of pure seawater)
120	Radiation, photosynthetically active	PAR	mol quanta/m²/day	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	minimum value in the selected environmental feature around the sampling date and location
121	Radiation, photosynthetically active	PAR	mol quanta/m²/day	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location
122	Radiation, photosynthetically active	PAR	mol quanta/m²/day	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location
123	Radiation, photosynthetically active	PAR	mol quanta/m²/day	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location
124	Radiation, photosynthetically active	PAR	mol quanta/m²/day	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	maximum value in the selected environmental feature around the sampling date and location
125	Radiation, photosynthetically active	PAR	%	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	minimum value in the selected environmental feature around the sampling date and location
126	Radiation, photosynthetically active	PAR	%	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	lower quartile value (25th percentile, first quartile, Q1) in the selected environmental feature around the sampling date and location
127	Radiation, photosynthetically active	PAR	%	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location
128	Radiation, photosynthetically active	PAR	%	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	upper quartile value (75th percentile, third quartile, Q3) in the selected environmental feature around the sampling date and location
129	Radiation, photosynthetically active	PAR	%	Guidi, Lionel	calculated from in situ sensor data, calibrated using factory settings	maximum value in the selected environmental feature around the sampling date and location
130	Radiation, photosynthetically active	PAR	mol quanta/m²/day	Pesant, Stephane	calculated from Kd(PAR)1 and 1-day avg. daily surface PAR (AMODIS)	minimum value in the selected environmental feature around the sampling date and location
131	Radiation, photosynthetically active	PAR	mol quanta/m²/day	Pesant, Stephane	calculated from Kd(PAR)1 and 1-day avg. daily surface PAR (AMODIS)	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location
132	Radiation, photosynthetically active	PAR	mol quanta/m²/day	Pesant, Stephane	calculated from Kd(PAR)1 and 1-day avg. daily surface PAR (AMODIS)	maximum value in the selected environmental feature around the sampling date and location
133	Radiation, photosynthetically active	PAR	%	Pesant, Stephane	calculated from Kd(PAR)1 and 1-day avg. daily surface PAR (AMODIS)	minimum value in the selected environmental feature around the sampling date and location, expressed as % of surface PAR
134	Radiation, photosynthetically active	PAR	%	Pesant, Stephane	calculated from Kd(PAR)1 and 1-day avg. daily surface PAR (AMODIS)	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location, expressed as % of surface PAR
135	Radiation, photosynthetically active	PAR	%	Pesant, Stephane	calculated from Kd(PAR)1 and 1-day avg. daily surface PAR (AMODIS)	maximum value in the selected environmental feature around the sampling date and location, expressed as % of surface PAR
136	Radiation, photosynthetically active	PAR	mol quanta/m²/day	Pesant, Stephane	calculated from Kd(PAR)1 and 8-day avg. daily surface PAR (AMODIS)	minimum value in the selected environmental feature around the sampling date and location
137	Radiation, photosynthetically active	PAR	mol quanta/m²/day	Pesant, Stephane	calculated from Kd(PAR)1 and 8-day avg. daily surface PAR (AMODIS)	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location
138	Radiation, photosynthetically active	PAR	mol quanta/m²/day	Pesant, Stephane	calculated from Kd(PAR)1 and 8-day avg. daily surface PAR (AMODIS)	maximum value in the selected environmental feature around the sampling date and location
139	Radiation, photosynthetically active	PAR	%	Pesant, Stephane	calculated from Kd(PAR)1 and 8-day avg. daily surface PAR (AMODIS)	minimum value in the selected environmental feature around the sampling date and location, expressed as % of surface PAR
140	Radiation, photosynthetically active	PAR	%	Pesant, Stephane	calculated from Kd(PAR)1 and 8-day avg. daily surface PAR (AMODIS)	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location, expressed as % of surface PAR
141	Radiation, photosynthetically active	PAR	%	Pesant, Stephane	calculated from Kd(PAR)1 and 8-day avg. daily surface PAR (AMODIS)	maximum value in the selected environmental feature around the sampling date and location, expressed as % of surface PAR
142	Radiation, photosynthetically active	PAR	mol quanta/m²/day	Pesant, Stephane	calculated from Kd(PAR)1 and 30-day avg. daily surface PAR (AMODIS)	minimum value in the selected environmental feature around the sampling date and location
143	Radiation, photosynthetically active	PAR	mol quanta/m²/day	Pesant, Stephane	calculated from Kd(PAR)1 and 30-day avg. daily surface PAR (AMODIS)	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location
144	Radiation, photosynthetically active	PAR	mol quanta/m²/day	Pesant, Stephane	calculated from Kd(PAR)1 and 30-day avg. daily surface PAR (AMODIS)	maximum value in the selected environmental feature around the sampling date and location
145	Radiation, photosynthetically active	PAR	%	Pesant, Stephane	calculated from Kd(PAR)1 and 30-day avg. daily surface PAR (AMODIS)	minimum value in the selected environmental feature around the sampling date and location, expressed as % of surface PAR
146	Radiation, photosynthetically active	PAR	%	Pesant, Stephane	calculated from Kd(PAR)1 and 30-day avg. daily surface PAR (AMODIS)	median value (50th percentile, second quartile, Q2) in the selected environmental feature around the sampling date and location, expressed as % of surface PAR
147	Radiation, photosynthetically active	PAR	%	Pesant, Stephane	calculated from Kd(PAR)1 and 30-day avg. daily surface PAR (AMODIS)	maximum value in the selected environmental feature around the sampling date and location, expressed as % of surface PAR

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