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  • 2020-2024  (4)
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  • 1
    Publication Date: 2024-03-25
    Description: Total alkalinity (AT) and dissolved inorganic carbon (CT) in the oceans are important properties with respect to understanding the ocean carbon cycle and its link to global change (ocean carbon sinks and sources, ocean acidification) and ultimately finding carbon-based solutions or mitigation procedures (marine carbon removal). We present a database of more than 44 400 AT and CT observations along with basic ancillary data (spatiotemporal location, depth, temperature and salinity) from various ocean regions obtained, mainly in the framework of French projects, since 1993. This includes both surface and water column data acquired in the open ocean, coastal zones and in the Mediterranean Sea and either from time series or dedicated one-off cruises. Most AT and CT data in this synthesis were measured from discrete samples using the same closed-cell potentiometric titration calibrated with Certified Reference Material, with an overall accuracy of ±4 µmol kg−1 for both AT and CT. The data are provided in two separate datasets – for the Global Ocean and the Mediterranean Sea (https://doi.org/10.17882/95414, Metzl et al., 2023), respectively – that offer a direct use for regional or global purposes, e.g., AT–salinity relationships, long-term CT estimates, and constraint and validation of diagnostic CT and AT reconstructed fields or ocean carbon and coupled climate–carbon models simulations as well as data derived from Biogeochemical-Argo (BGC-Argo) floats. When associated with other properties, these data can also be used to calculate pH, the fugacity of CO2 (fCO2) and other carbon system properties to derive ocean acidification rates or air–sea CO2 fluxes.
    Type: Article , PeerReviewed
    Format: text
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  • 2
    Publication Date: 2024-04-18
    Description: Marine particles of different nature are found throughout the global ocean. The term "marine particles" describes detritus aggregates and fecal pellets as well as bacterioplankton, phytoplankton, zooplankton and nekton. Here, we present a global particle size distribution dataset obtained with several Underwater Vision Profiler 5 (UVP5) camera systems. Overall, within the 64 mu m to about 50 mm size range covered by the UVP5, detrital particles are the most abundant component of all marine particles; thus, measurements of the particle size distribution with the UVP5 can yield important information on detrital particle dynamics. During deployment, which is possible down to 6000 m depth, the UVP5 images a volume of about 1 L at a frequency of 6 to 20 Hz. Each image is segmented in real time, and size measurements of particles are automatically stored. All UVP5 units used to generate the dataset presented here were inter-calibrated using a UVP5 high-definition unit as reference. Our consistent particle size distribution dataset contains 8805 vertical profiles collected between 19 June 2008 and 23 November 2020. All major ocean basins, as well as the Mediterranean Sea and the Baltic Sea, were sampled. A total of 19 % of all profiles had a maximum sampling depth shallower than 200 dbar, 38 % sampled at least the upper 1000 dbar depth range and 11 % went down to at least 3000 dbar depth. First analysis of the particle size distribution dataset shows that particle abundance is found to be high at high latitudes and in coastal areas where surface productivity or continental inputs are elevated. The lowest values are found in the deep ocean and in the oceanic gyres. Our dataset should be valuable for more in-depth studies that focus on the analysis of regional, temporal and global patterns of particle size distribution and flux as well as for the development and adjustment of regional and global biogeochemical models. The marine particle size distribution dataset (Kiko et al., 2021) is available at https://doi.org/10.1594/PANGAEA.924375.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 3
    Publication Date: 2024-02-03
    Description: This study is the first integrated assessment of the main oceanographic features of the Beagle Channel, using data from several oceanographic cruises and a mooring. This dataset derives from an oceanographic mooring installed in the center of the Beagle Channel close to Yendegaia bay. This mooring included hourly temperature measurements at 50 m and 195 m between 21 July 2017 and 28 September 2019, while temperature at 100 m was recorded from 21 July 2017 to 19 July 2018 only. The study was funded by the IDEAL center (Research Center: Dynamics of High Latitude Marine Ecosystems, https://www.centroideal.cl/, award: FONDAP 15150003).
    Keywords: Beagle Channel; Beagle Channel Observatory; Cruise/expedition; DATE/TIME; DEPTH, water; DYNAMO; HYDRO‐USHUAIA; IDEAL_Beagle-Yendegaia_MOOR; LATITUDE; LONGITUDE; MOOR; Mooring; Particles dynamics in the Beagle channel and Ushuaia Bay (ECOS‐SUD/Mincyt program); Station label; Temperature, water; Temperature logger(s), Star Oddi; temperature profiles; Type
    Type: Dataset
    Format: text/tab-separated-values, 187628 data points
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  • 4
    Publication Date: 2024-02-03
    Description: This study is the first integrated assessment of the main oceanographic features of the Beagle Channel, using data from several oceanographic cruises conducted between 19-25 October 2016, 19-26 July 2017 and 18-23 July 2018 by the IDEAL center (Research Center: Dynamics of High Latitude Marine Ecosystems). During 2016 transects were done between the NW entrance of the Beagle Channel up to Yendegaia bay (mid of the channel). In winter 2017, simultaneous to the IDEAL transect, a full oceanographic survey onboard M/O Bernardo Houssay (PNA, Argentina) by researchers of CADIC (Austral Center for Scientific Research in Ushuaia) was conducted from nearby Yendegaia bay to the eastern limit of the Beagle Channel (27-30 August 2017), thus closing for the first time a full, high resolution, hydrographic section along the entire Channel. During 18-23 July 2018 the NW branch and the SW branch of the Beagle Channel was surveyed. The study was funded by the IDEAL center (https://www.centroideal.cl/, award: FONDAP 15150003).
    Keywords: ARG-CADIC; ARG-CADIC_mobh2017-05; ARG-CADIC_mobh2017-06; ARG-CADIC_mobh2017-07; ARG-CADIC_mobh2017-08a; ARG-CADIC_mobh2017-09; ARG-CADIC_mobh2017-10; ARG-CADIC_mobh2017-11; ARG-CADIC_mobh2017-22; ARG-CADIC_mobh2017-23; ARG-CADIC_mobh2017-24; ARG-CADIC_mobh2017-25; ARG-CADIC_mobh2017-26; ARG-CADIC_mobh2017-27; ARG-CADIC_mobh2017-28; ARG-CADIC_mobh2017-29; ARG-CADIC_mobh2017-30; ARG-CADIC_mobh2017-31; ARG-CADIC_mobh2017-32; ARG-CADIC_mobh2017-33; ARG-CADIC_mobh2017-34; ARG-CADIC_mobh2017-35; ARG-CADIC_mobh2017-36; ARG-CADIC_mobh2017-37; ARG-CADIC_mobh2017-38; ARG-CADIC_mobh2017-39; ARG-CADIC_mobh2017-40a; Beagle Channel; Beagle Channel Observatory; Chief scientist(s); Cruise/expedition; CTD, Sea-Bird [see device type column for specific CTD type]; CTD/Rosette; CTD-RO; DATE/TIME; Depth, bottom/max; DEPTH, water; Device type; dissolved oxygen; Dr. Bernardo Houssay; DYNAMO; Event label; Fluorescence; Fluorometer, WET Labs ECO AFL/FL; Forrest; HYDRO‐USHUAIA; IDEAL_Canal_Beagle_2016; IDEAL_Canal_Beagle_2016_01; IDEAL_Canal_Beagle_2016_02; IDEAL_Canal_Beagle_2016_03; IDEAL_Canal_Beagle_2016_04; IDEAL_Canal_Beagle_2016_05; IDEAL_Canal_Beagle_2016_06; IDEAL_Canal_Beagle_2016_07; IDEAL_Canal_Beagle_2016_08; IDEAL_Canal_Beagle_2016_09; IDEAL_Canal_Beagle_2016_10; IDEAL_Canal_Beagle_2016_11; IDEAL_Canal_Beagle_2016_12; IDEAL_Canal_Beagle_2016_13; IDEAL_Canal_Beagle_2016_26; IDEAL_Canal_Beagle_2016_27; IDEAL_Canal_Beagle_2016_28; IDEAL_Canal_Beagle_2016_29; IDEAL_Canal_Beagle_2016_37; IDEAL_Canal_Beagle_2017; IDEAL_Canal_Beagle_2017_01; IDEAL_Canal_Beagle_2017_02; IDEAL_Canal_Beagle_2017_03; IDEAL_Canal_Beagle_2017_04; IDEAL_Canal_Beagle_2017_05; IDEAL_Canal_Beagle_2017_06; IDEAL_Canal_Beagle_2017_07; IDEAL_Canal_Beagle_2017_08; IDEAL_Canal_Beagle_2017_09-1; IDEAL_Canal_Beagle_2017_09-2; IDEAL_Canal_Beagle_2017_10; IDEAL_Canal_Beagle_2017_11-1; IDEAL_Canal_Beagle_2017_11-2; IDEAL_Canal_Beagle_2017_12; IDEAL_Canal_Beagle_2017_23; IDEAL_Canal_Beagle_2018; IDEAL_Canal_Beagle_2018_01; IDEAL_Canal_Beagle_2018_02; IDEAL_Canal_Beagle_2018_03; IDEAL_Canal_Beagle_2018_04; IDEAL_Canal_Beagle_2018_05; IDEAL_Canal_Beagle_2018_06; IDEAL_Canal_Beagle_2018_07; IDEAL_Canal_Beagle_2018_08; IDEAL_Canal_Beagle_2018_09; IDEAL_Canal_Beagle_2018_10; IDEAL_Canal_Beagle_2018_11; IDEAL_Canal_Beagle_2018_12; IDEAL_Canal_Beagle_2018_17; IDEAL_Canal_Beagle_2018_18; IDEAL_Canal_Beagle_2018_19; IDEAL_Canal_Beagle_2018_20; IDEAL_Canal_Beagle_2018_21; IDEAL_Canal_Beagle_2018_22; IDEAL_Canal_Beagle_2018_23; IDEAL_Canal_Beagle_2018_24; IDEAL_Canal_Beagle_2018_25; LATITUDE; LONGITUDE; Optical dissolved oxygen sensor(s), Sea-Bird; Oxygen, dissolved; Particles dynamics in the Beagle channel and Ushuaia Bay (ECOS‐SUD/Mincyt program); Salinity; Station label; Temperature, water; temperature profiles; Vessel
    Type: Dataset
    Format: text/tab-separated-values, 263441 data points
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