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  • 2015-2019  (35)
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  • 1
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    Total V9 rDNA information organized at the metabarcode level for the Tara Oceans Expedition (2009-2012) (2017)
    PANGAEA
    Details
    Publication Date: 2023-03-08
    Description: The present data set provides a tab separated text file compressed in a zip archive. The file includes metadata for each TaraOceans V9 rDNA metabarcode including the following fields:md5sum = unique identifier; lineage = taxonomic path associated to the metabarcode; pid = % identity to the closest reference barcode from V9_PR2; sequence = nucleotide sequence of the metabarcode; refs = identity of the best hit reference sequence(s); TARA_xxx = number of occurrences of this barcode in each of the 334 samples; totab = total abundance of the barcode ; cid = identifier of the OTU to which the barcode belongs; and taxogroup = high-taxonomic level assignation of this barcode. The file also includes three categories of functional annotations: (1) Chloroplast: yes, presence of permanent chloroplast; no, absence of permanent chloroplast ; NA, undetermined. (2) Symbiont (small partner): parasite, the species is a parasite; commensal, the species is a commensal; mutualist, the species is a mutualist symbiont, most often a microalgal taxon involved in photosymbiosis; no the species is not involved in a symbiosis as small partner; NA, undetermined. (3) Symbiont (host): photo, the host species relies on a mutualistic microalgal photosymbiont to survive (obligatory photosymbiosis); photo_falc, same as photo, but facultative relationship; photo_klep, the host species maintains chloroplasts from microalgal prey(s) to survive; photo_klep_falc, same as photo_klep, but facultative; Nfix, the host species must interact with a mutualistic symbiont providing N2 fixation to survive; Nfix_falc, same as Nfix, but facultative; no, the species is not involved in any mutualistic symbioses; NA, undetermined. For example, the collodarian/Brandtodinium symbiosis is annotated: Chloroplast, "no"; Symbiont (small), "no"; Symbiont (host), "photo", for the collodarian host; and: Chloroplast, "yes"; Symbiont (small), "mutualist"; Symbiont (host), "no", for the dinoflagellate microalgal endosymbiont.chloroplast = "yes", "no" or "NA"; symbiont.small = "parasite", "commensal", "mutualist", "no" or "NA"; symbiont.host = "photo", "photo_falc", "photo_klep", "Nfix", no or NA; benef = "Nfix", "no" or "NA"; trophism = Metazoa , heterotroph , NA , photosymbiosis , phototroph according to the previous fields.
    Keywords: Fondation Tara Expeditions; FondTara; Tara_Oceans_2009-2013; Tara Oceans Expedition
    Type: Dataset
    Format: application/zip, 710.6 MBytes
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  • 2
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    Methodology used in the lab for the acquistion of images from selected samples from the Tara Oceans Expedition (2009-2013), using Environmental High-Content Fluorescence Microscopy (e-HCFM), and links to the Image Data Resource (IDR) (2017)
    PANGAEA
    Details
    Publication Date: 2023-03-08
    Description: 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. The present data set provides URLs to images available at the Image Data Resource, along with their corresponding contextual data and image acquisition methods described in details in the companion data article.
    Keywords: Fondation Tara Expeditions; FondTara; Tara_Oceans_2009-2013; Tara Oceans Expedition
    Type: Dataset
    Format: application/zip, 96.7 kBytes
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  • 3
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    [RAW VALIDATED DATA] Photosynthetically Active Radiation (PAR) measurements from a Biospherical Instrument Inc. QCR-2150 surface PAR sensor mounted on a sensor mast during the Tara Oceans expedition 2009-2013 (2016)
    PANGAEA
    Details
    Publication Date: 2024-01-06
    Description: 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. The present data set provides raw validated data of continuous measurements made with a Biospherical Instrument Inc. QCR-2150 surface PAR sensor mounted on a sensor mast at the stern of the ship (ca. 8m above deck) and time synchronized with the CTD recording unit. The sensor consists of a cosine collector and was also utilized to correct the CTD PAR sensor data. The dark was computed as the lowest 0.01% voltage of the signal that was found to be very stable (0.00965V) for all the legs except for the 2nd leg of the polar circle where there was no complete night (the manufacturer dark was 0.0097V). The manufacturer calibration slope from 12/ 2012 was used to transform the data to scientific units.
    Keywords: Fondation Tara Expeditions; FondTara; Tara_Oceans_2009-2013; Tara Oceans Expedition
    Type: Dataset
    Format: application/zip, 5.6 MBytes
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  • 4
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    [RAW VALIDATED DATA] Properties of seawater and particulate matter (fluorescence) from a WETLabs Eco-FL sensor mounted on the continuous surface water sampling system during the Tara Oceans expedition 2009-2013 (2016)
    PANGAEA
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    Publication Date: 2024-01-06
    Description: 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. The present data set provides raw validated data of continuous measurements made with a WETLabs Eco-FL sensor mounted on the flowthrough system between June 4th, 2011 and March 30th, 2012. Data was recorded approximately every 10s. Two issues affected the data: 1. Periods when the water 0.2µm filtered water were used as blanks and 2. Periods where fluorescence was affected by non-photochemical quenching (NPQ, chlorophyll fluorescence is reduced when cells are exposed to light, e.g. Falkowski and Raven, 1997). Median data and their standard deviation were binned to 5min bins with period of light/dark indicated by an added variable (so that NPQ affected data could be neglected if the user so chooses). Data was first calibrated using HPLC data collected on the Tara (there were 36 data within 30min of each other). Fewer were available when there was no evident NPQ and the resulting scale factor was 0.0106 mg Chl m-3/count. To increase the calibration match-ups we used the AC-S data which provided a robust estimate of Chlorophyll (e.g. Boss et al., 2013). Scale factor computed over a much larger range of values than HPLC was 0.0088 mg Chl m-3/count (compared to 0.0079 mg Chl m-3/count based on manufacturer). In the archived data the fluorometer data is merged with the TSG, raw data is provided as well as manufacturer calibration constants, blank computed from filtered measurements and chlorophyll calibrated using the AC-S. For a full description of the processing of the Eco-FL please see Taillandier (2015).
    Keywords: Fondation Tara Expeditions; FondTara; Tara_Oceans_2009-2013; Tara Oceans Expedition
    Type: Dataset
    Format: application/zip, 2.8 MBytes
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  • 5
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    [RAW VALIDATED DATA] Properties of seawater and particulate matter from a FRRF instrument, operating in a flow-through mode on the continuous surface water sampling system during the Tara Oceans expedition 2009-2013 (2016)
    PANGAEA
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    Publication Date: 2024-01-06
    Description: 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. The present data set provides raw validated data of continuous measurements made with a FRRF instrument, operating in a flow-through mode during the 2009-2012 part of the expedition. It operates by exciting chlorophyll fluorescence using a series of short flashes of controlled energy and time intervals (Kolber et al, 1998). The fluorescence transients produced by this excitation signal were analysed in real-time to provide estimates of abundance of photosynthetic pigments, the photosynthetic yields (Fv/Fm), the functional absorption cross section (a proxy for efficiency of photosynthetic energy acquisition), the kinetics of photosynthetic electron transport between Photosystem II and Photosystem I, and the size of the PQ pool. These parameters were measured at excitation wavelength of 445 nm, 470nm, 505 nm, and 535 nm, allowing to assess the presence and the photosynthetic performance of different phytoplankton taxa based on the spectral composition of their light harvesting pigments. The FRRF-derived photosynthetic characteristics were used to calculate the initial slope, the half saturation, and the maximum level of Photosynthesis vs Irradiance relationship. FRRF data were acquired continuously, at 1-minute time intervals.
    Keywords: Fondation Tara Expeditions; FondTara; Tara_Oceans_2009-2013; Tara Oceans Expedition
    Type: Dataset
    Format: application/zip, 34.3 MBytes
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  • 6
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    [RAW VALIDATED DATA] Properties of seawater (partial pressure of carbon dioxide (pCO2)) from a ProOceanus CO2-Pro sensor mounted on the continuous surface water sampling system during the Tara Oceans expedition 2009-2013 (2016)
    PANGAEA
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    Publication Date: 2024-01-06
    Description: 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. The present data set provides raw validated data of continuous measurements of partial pressure of carbon dioxide (pCO2), using a ProOceanus CO2-Pro instrument mounted on the flowthrough system. This automatic sensor is fitted with an equilibrator made of gas permeable silicone membrane and an internal detection loop with a non-dispersive infrared detector of PPSystems SBA-4 CO2 analyzer. A zero-CO2 baseline is provided for the subsequent measurements circulating the internal gas through a CO2 absorption chamber containing soda lime or Ascarite. The frequency of this automatic zero point calibration was set to be 24 hours. All data recorded during zeroing processes were discarded with the 15-minute data after each calibration. The output of CO2-Pro is the mole fraction of CO2 in the measured water and the pCO2 is obtained using the measured total pressure of the internal wet gas. The fugacity of CO2 (fCO2) in the surface seawater, whose difference with the atmospheric CO2 fugacity is proportional to the air-sea CO2 fluxes, is obtained by correcting the pCO2 for non-ideal CO2 gas concentration according to Weiss (1974). The fCO2 computed using CO2-Pro measurements was corrected to the sea surface condition by considering the temperature effect on fCO2 (Takahashi et al., 1993). The surface seawater observations that were initially estimated with a 15 seconds frequency were averaged every 5-min cycle. The performance of CO2-Pro was adjusted by comparing the sensor outputs against the thermodynamic carbonate calculation of pCO2 using the carbonic system constants of Millero et al. (2006) from the determinations of total inorganic carbon (CT ) and total alkalinity (AT ) in discrete samples collected at sea surface. AT was determined using an automated open cell potentiometric titration (Haraldsson et al. 1997). CT was determined with an automated coulometric titration (Johnson et al. 1985; 1987), using the MIDSOMMA system (Mintrop, 2005). fCO2 data are flagged according to the WOCE guidelines following Pierrot et al. (2009) identifying recommended values and questionable measurements giving additional information about the reasons of the questionability.
    Keywords: Fondation Tara Expeditions; FondTara; Tara_Oceans_2009-2013; Tara Oceans Expedition
    Type: Dataset
    Format: application/zip, 601.4 kBytes
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  • 7
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    [RAW VALIDATED DATA] Properties of seawater and particulate matter from a WETLabs ALFA hyperspectral laser spectrofluorometer mounted on the continuous surface water sampling system during the Tara Oceans expedition 2009-2013 (2016)
    PANGAEA
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    Publication Date: 2024-01-06
    Description: 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. The present data set provides raw validated data of continuous measurements made with an Aquatic Laser Fluorescence Analyzer (ALFA) (Chekalyuk et al., 2014), connected in-line to the TARA flow through system during 2013. The ALFA instrument provides dual-wavelength excitation (405 and 514 nm) of laser-stimulated emission (LSE) for spectral and temporal analysis. It offers in vivo fluorescence assessments of phytoplankton pigments, biomass, photosynthetic yield (Fv/Fm), phycobiliprotein (PBP)-containing phytoplankton groups, and chromophoric dissolved organic matter (CDOM) (Chekalyuk and Hafez, 2008; 2013A). Spectral deconvolution (SDC) is used to assess the overlapped spectral bands of aquatic fluorescence constituents and water Raman scattering (R). The Fv/Fm measurements are spectrally corrected for non-chlorophyll fluorescence background produced by CDOM and other constituents (Chekalyuk and Hafez, 2008). The sensor was cleaned weakly following the manufacturer recommended protocol.
    Keywords: Fondation Tara Expeditions; FondTara; Tara_Oceans_2009-2013; Tara Oceans Expedition
    Type: Dataset
    Format: application/zip, 12.9 MBytes
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  • 8
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    Environmental context of all samples from the Tara Oceans Expedition (2009-2013), about water column features (2016)
    PANGAEA
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    Publication Date: 2024-01-06
    Description: 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. The present data set provides environmental context to all samples from the Tara Oceans Expedition (2009-2013), about water column features at the sampling location. Based on in situ measurements of... at the...
    Keywords: [BUCKET-10]; [CABLE]+[sbe19]+[NISKIN]; [CABLE]+[sbe9S]+[NISKIN]; [CSSS]; [day/night] [deep chlorophyll maximum layer (ENVO:; [day/night] [surface water layer (ENVO:00002042)]; [day/night] [water layer with no specific feature]; [day]; [day] [200 m]; [day] [deep chlorophyll maximum layer (ENVO:010003; [day] [epipelagic mixed layer (ENVO:01000061)]; [day] [epipelagic mixed layer (ENVO:01000061)] [pr; [day] [integrated]; [day] [integrated] [protist sampling]; [day] [mesopelagic zone (ENVO:00000213)]; [day] [mesopelagic zone (ENVO:00000213)] [also lab; [day] [near bottom]; [day] [surface water layer (ENVO:00002042)]; [day] [surface water layer (ENVO:00002042)] [also; [day] [surface water layer (ENVO:00002042)] [Ancho; [day] [surface water layer (ENVO:00002042)] [Barce; [day] [surface water layer (ENVO:00002042)] [befor; [day] [surface water layer (ENVO:00002042)] [betwe; [day] [surface water layer (ENVO:00002042)] [Europ; [day] [surface water layer (ENVO:00002042)] [In vi; [day] [surface water layer (ENVO:00002042)] [Juan; [day] [surface water layer (ENVO:00002042)] [near; [day] [surface water layer (ENVO:00002042)] [neust; [day] [surface water layer (ENVO:00002042)] [NOT n; [day] [surface water layer (ENVO:00002042)] [Patag; [day] [surface water layer (ENVO:00002042)] [plast; [day] [surface water layer (ENVO:00002042)] [proti; [day] [surface water layer (ENVO:00002042)] [TARA_; [day] [water layer with no specific feature]; [day] [water layer with no specific feature] [also; [day] [water layer with no specific feature] [Barc; [day] [water layer with no specific feature] [imag; [day] [water layer with no specific feature] [Lago; [day] [water layer with no specific feature] [merc; [day] [water layer with no specific feature] [near; [day] [water layer with no specific feature] [NOT; [DECK-PUMP]; [FSWS]; [HVP-PUMP]; [near station 95]; [NET-BONGO-180]; [NET-BONGO-180]+[SIEVE-2000]; [NET-BONGO-300]; [NET-DOUBLE-20]+[SIEVE-180]; [NET-MANTA-OI-500]; [NET-MANTA-ST-500]; [NET-REGENT-680]; [NET-SINGLE-5]+[SIEVE-20]; [NET-WPII-200]; [NET-WPII-50]; [night] [deep chlorophyll maximum layer (ENVO:0100; [night] [epipelagic mixed layer (ENVO:01000061)]; [night] [mesopelagic zone (ENVO:00000213)]; [night] [surface water layer (ENVO:00002042)]; [night] [surface water layer (ENVO:00002042)] [Anc; [night] [surface water layer (ENVO:00002042)] [bef; [night] [surface water layer (ENVO:00002042)] [bet; [night] [surface water layer (ENVO:00002042)] [Mas; [night] [surface water layer (ENVO:00002042)] [nea; [night] [surface water layer (ENVO:00002042)] [neu; [night] [surface water layer (ENVO:00002042)] [pla; [night] [surface water layer (ENVO:00002042)] [pro; [night] [surface water layer (ENVO:00002042)] [TAR; [night] [water layer with no specific feature]; [night] [water layer with no specific feature] [al; [night] [water layer with no specific feature] [Ba; [night] [water layer with no specific feature] [im; [night] [water layer with no specific feature] [ne; [RVSS]; Abu Dhabi to Muscat, Stations: none; Algiers to Barcelona, Stations: TARA_008-011; Ascencion to Rio de Janiero, Stations: TARA_072-076; Athens to Beyrouth, Stations: TARA_027-028; Atseranana to Mamoudzou, Stations: TARA_053-054; Bermuda to Horta, Stations: TARA_148-151; Beyrouth to Alexandria, Stations: TARA_029-030; Bizerte to Naples, Stations: TARA_014; Brunt-Väisälä frequency; Bucket, plastic 10-L; Buenos Aires to Ushuaia, Stations: TARA_079b-083; calculated from 30-day avg. Kd490 (AMODIS) using eq. 9' in Morel et al. (2007); calculated from 30-day avg. Kd490 (AMODIS) using eq. 9 in Morel et al. (2007); calculated from AMODIS products; calculated from in situ sensor data, calibrated using factory settings; calculated from Kd(PAR)1 and 30-day avg. daily surface PAR (AMODIS); calculated from Kd(PAR)2 and 30-day avg. daily surface PAR (AMODIS); calculated from z(Secchi Disk) and 30-day average daily PAR (AMODIS); Campaign of event; CapeTown to Ascencion, Stations: TARA_067-071; Chlorophyll a; Continuous Surface Sampling System; CTD (sbe19) and Niskin bottles (8-L or 12-L) triggered with messengers; CTD (sbe9S) and Niskin bottles (8-L or 12-L) triggered with messengers; Date/Time of event; DECK-PUMP; Density, sigma-theta (0); Depth, nominal; Depth of chlorophyll maximum; Depth of maximum Brunt Väisälä frequency; Depth of maximum oxygen concentration; Depth of minimum oxygen concentration; Depth of nitracline; Depth of Secchi Disk; Depth of the euphotic zone; Diffuse attenuation coefficient at 490 nm; Diffuse attenuation coefficient of PAR; Dubrovnik to Athens, Stations: TARA_025-026; Dudinka to Pevek, Stations: TARA_182-192; Easter Island to Guayaquil, Stations: TARA_098-102; Environmental feature; Event label; File name; Fondation Tara Expeditions; FondTara; Guayaquil to Puerto Ayora, Stations: TARA_103-106; Guayaquil to Totegegie, Stations: TARA_110-113; High Volume Peristaltic Pump; Honolulu to San Diego, Stations: TARA_131-135; Horta to La Coruna, Stations: TARA_152-154; Ilulissat to Québec, Stations: TARA_208-210; Jeddah to Djibouti, Stations: TARA_034; Latitude of event; Lisbon to Tangier, Stations: TARA_003-004; Longitude of event; Lorient to Lisbon, Stations: TARA_001-002; Lorient to Tromsø, Stations: TARA_155-166; Malé to Saint Brandon, Stations: TARA_044-049; Mamoudzou to Cape Town, Stations: TARA_055-066; Mixed layer depth, upper; MSN300; Multiple opening/closing net, 300 µm meshsize; Mumbai to Malé, Stations: TARA_041-043; Murmansk to Dudinka, Stations: TARA_167-181; Muscat to Mumbai, Stations: TARA_036-040; Naples to Valetta, Stations: TARA_015-017; Neuston net, type=Manta (ALGALITA), mesh(µm)=500, width(m)=0.70, length(m)=2.5; Neuston net, type=Manta (OI), mesh(µm)=500, width(m)=0.70, length(m)=2.5; New-York City to Bermuda, Stations: TARA_146-147; Nice to Bizerte, Stations: TARA_012-013; Nitrate; On board filtered seawater system (〈0.2 micrometre); Oxygen; Panama City to Savannah, Stations: TARA_141-143; Papeete to Honolulu, Stations: TARA_126-130; Pevek to Tuktoyaktuk, Stations: TARA_193-199; PLA; Plankton net; Plankton net, type=Bongo, mesh(µm)=180, mouth(m^2)=0.258319, length(m)=3; Plankton net, type=Bongo, mesh(µm)=300, mouth(m^2)=0.258319, length(m)=3; Plankton net, type=Regent, mesh(µm)=680, mouth(m^2)=0.754296, length(m)=4; Plankton net, type=WPII, mesh(µm)=200, mouth(m^2)=0.248505, length(m)=2.75; Plankton net, type=WPII, mesh(µm)=50, mouth(m^2)=0.248505, length(m)=2.75; Plankton net+sieve, type=Bongo, mesh(µm)=180, mouth(m^2)=0.258319, length(m)=3; Plankton net+sieve, type=Double, mesh(µm)=20, mouth(m^2)=0.192442, length(m)=2.5; Plankton net+sieve, type=single, mesh(µm)=5, mouth(m^2)=0.196349, length(m)=2.5; Port Louis to Saint Denis, Stations: TARA_050-051; Puerto Ayora to Guayaquil, Stations: TARA_107-109; Puerto Montt to Valparaiso, Stations: TARA_090-092; Québec to Lorient, Stations: none; Rio de Janiero to Buenos Aires, Stations: TARA_077-079a; Rosette Vertical Sampling System; Saint Denis to Antseranana, Stations: TARA_052; Salinity; Sample ID; Sample method; San Diego to Panama City, Stations: TARA_136-140; Savannah to New-York City, Stations: TARA_144-145; Sharm El Sheikh to Jeddah, Stations: TARA_031-033; Station label; SV Tara; Taiohae harbour to Papeete, Stations: TARA_122-125; Tangier to Algiers, Stations: TARA_005-007; TARA_20090905Z; TARA_20090907T1530Z_001_EVENT_NET; TARA_20090907T1610Z_001_EVENT_NET; TARA_20090909T1830Z_002_EVENT_NET; TARA_20090913T1130Z_003_EVENT_NET; TARA_20090913T1200Z_003_EVENT_PUMP; TARA_20090913T1656Z_003_EVENT_CAST; TARA_20090913T1930Z_003_EVENT_NET; TARA_20090913Z; TARA_20090915T1130Z_004_EVENT_PUMP; TARA_20090915T1400Z_004_EVENT_NET; TARA_20090915T1415Z_004_EVENT_NET; TARA_20090915T1500Z_004_EVENT_NET; TARA_20090915T1600Z_004_EVENT_NET; TARA_20090915T1800Z_004_EVENT_PUMP; TARA_20090915T2000Z_004_EVENT_NET; TARA_20090915T2130Z_004_EVENT_NET; TARA_20090915T2230Z_004_EVENT_NET; TARA_20090919Z; TARA_20090920T1045Z_005_EVENT_PUMP;
    Type: Dataset
    Format: text/tab-separated-values, 2752154 data points
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  • 9
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    Registry of all samples from the Tara Oceans Expedition (2009-2013) (2016)
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    Publication Date: 2024-02-16
    Description: 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).
    Keywords: Fondation Tara Expeditions; FondTara; Tara_Oceans_2009-2013; Tara Oceans Expedition
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 10
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    [RAW VALIDATED DATA] Properties of seawater (pH total scale) from a Satlantic SeaFET instrument mounted on the continuous surface water sampling system during the Tara Oceans expedition 2009-2013 (2016)
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    Publication Date: 2024-02-17
    Description: 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. The present data set provides raw validated data of continuous pH measurements made during 2013 expedition with a Satlantic SeaFET instrument that was connected to the flowthrough system. Data calibration was performed according to Bresnahan et al. (2014) (using spectrophotometric pH measurements on discrete samples (Clayton and Byrne 1993). pH_internal values were taken to calibrate the data (rather than pH_external) because of the better calibration coefficient (there was no trend associated with it). The equations of Clayton and Byrne (1993) was used to compute pH from the measured absorbance values at the temperature of measurement. The data was converted to in situ temperature using the “CO2-sys” program (van Heusen et al. 2011).
    Keywords: Fondation Tara Expeditions; FondTara; Tara_Oceans_2009-2013; Tara Oceans Expedition
    Type: Dataset
    Format: application/zip, 843.4 kBytes
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