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  • 2020-2024  (36,696)
  • 2015-2019  (23)
  • 1980-1984  (11)
  • 2023  (36,696)
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  • 1
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    Unknown
    Local and remote causes of the equatorial Pacific cold sea surface temperature bias in the Kiel Climate Model (2023)
    AMS (American Meteorological Society)
    Details
    Publication Date: 2024-06-16
    Description: We investigate the origin of the equatorial Pacific cold sea surface temperature (SST) bias and its link to wind biases, local and remote, in the Kiel Climate Model (KCM). The cold bias is common in climate models participating in the 5 th and 6 th phases of the Coupled Model Intercomparison Project. In the coupled experiments with the KCM, the interannually varying NCEP/CFSR wind stress is prescribed over four spatial domains: globally, over the equatorial Pacific (EP), the northern Pacific (NP) and southern Pacific (SP). The corresponding EP SST bias is reduced by 100%, 52%, 12% and 23%, respectively. Thus, the EP SST bias is mainly attributed to the local wind bias, with small but not negligible contributions from the extratropical regions. Erroneous ocean circulation driven by overly strong winds cause the cold SST bias, while the surface-heat flux counteracts it. Extratropical Pacific SST biases contribute to the EP cold bias via the oceanic subtropical gyres, which is further enhanced by dynamical coupling in the equatorial region. The origin of the wind biases is examined by forcing the atmospheric component of the KCM in a stand-alone mode with observed SSTs and simulated SSTs from the coupled experiments. Wind biases over the EP, NP and SP regions originate in the atmosphere model. The cold EP SST bias substantially enhances the wind biases over all three regions, while the NP and SP SST biases support local amplification of the wind bias. This study suggests that improving surface-wind stress, at and off the equator, is a key to improve mean-state equatorial Pacific SST in climate models.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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    PAPER (OCEANREP)
  • 2
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    Lithosphere-atmosphere-ionosphere coupling associated with four Yutian earthquakes in China from GPS TEC and electromagnetic observations onboard satellites (2023)
    Elsevier
    Details
    Publication Date: 2024-06-14
    Description: During 2008–2020, four strong earthquakes occurred in Yutian, Xinjiang Uygur Automous Region, northwest China, in particular, two M7 + and two M6 + earthquakes demonstrating the high tectonic activity of this region. We systematically use multiple electromagnetic data from satellites and ground, such as GIM TEC (Global Ionospheric Mapping Total Electron Content) published by JPL (Jet Propulsion Laboratory), and the ULF (Ultra Low Frequency) electromagnetic waves and plasma parameters onboard DEMETER (Detection of Electro- Magnetic Emission Transmitted from Earthquake Regions), Swarm and CSES (China Seismo-Electromagnetic Satellite) satellites. The ionospheric perturbations were revealed frequently around the four case studies, but mostly within 10 days before, over the epicentral area, and sometimes over its conjugate region at southern hemisphere. The abnormal amplitude is quite larger in years with high solar activity than in those with low solar activity. We employ the SAMI2 model to simulate the variations from the effects of E × B under different plasma background in 2008 and 2014 to explain the great difference in different solar years. The similarity of the anomalies in this region demonstrates the higher electromagnetic and chemical emissions, implying that the electric field is possibly generated by the preparation of the seismic events in the epicentral area inducing the ionospheric disturbances above this area and its conjugate region through this coupling channel.
    Description: Published
    Description: 101943
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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    PAPER (OA)
  • 3
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    Surface Drifter Data of the Equatorial Atlantic: Positions of Lagrangian Hereon Drifters deployed in the Equatorial Atlantic during METEOR Cruise M181 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: During the Transatlantic Equatorial Cruise II (TRATLEQ II) with the R/V METEOR (M181) from 17. April to 28. May 2022 (Brandt, 2022), 44 Lagrangian drifters were deployed along the Equator (between 7°W and 37°W) to monitor the surface flow in the upper meter. The equatorial section covered the region of the Atlantic cold tongue that seasonally develops during boreal summer east of 23°W and the western equatorial Atlantic characterized by warmer surface waters and deeper mixed layer depths. In particular, the cruise M181 took place during the warm phase with relatively homogeneous warm surface layer in the whole equatorial Atlantic. Drifters were deployed every 1° longitude (~111 km) between 7°W and 37°W. The drifters were designed and built at Helmholtz-Zentrum Hereon to follow the upper surface flow (approx. 50 cm). The main body of these Hereon drifters consists of a 7.5 cm x 20 cm long tube with a floatation ring at the top. It is attached to a drogue of 35 cm in both length and diameter through a flexible cord within a distance of 20 cm to the tube. When deployed about 5 cm of the tube protrude from the water surface, resulting in a ratio of drag area inside to drag area outside the water of 21. The tube contains a battery pack and an electronic board, which acquires and reports the GPS position every 5 minutes via a global satellite network in near real time. Table 1 provides some information on the 44 deployed Hereon Drifters, which consists of deployment and working time, total covered distance and number of recorded GPS positions.
    Keywords: MOPGA-TAD; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Tropical Atlantic Deoxygenation: gateway dynamics, feedback mechanisms and ecosystem impacts
    Type: Dataset
    Format: application/zip, 44 datasets
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    DATA PANGAEA
  • 4
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    Upper-ocean microstructure data from the tropical Angolan upwelling system during METEOR cruise M98 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: Microstructure data was collected using a microstructure profiler MSS90D manufactured by Sea&Sun Technology in cooperation with ISW-Wassermesstechnik. Dissipation rates of turbulent kinetic energy are calculated as described in Schafstall et al. (Journal of Geophysical Research, 2010). Stored parameters include: Dissipation rate of turbulent kinetic energy from 3 microstructure shear sensors, temperature, salinity and depth.
    Keywords: BANINO; Benguela Niños: Physikalische Prozesse und langperiodische Variabilität; DATE/TIME; DEPTH, water; Dissipation rate; Event label; LATITUDE; LONGITUDE; M98; M98_1668-1; M98_1671-1; M98_1673-1; M98_1675-1; M98_1677-1; M98_1683-1; M98_1685-1; M98_1687-1; M98_1689-1; M98_1706-1; M98_1707-1; Meteor (1986); Micro structure probe; MSS; Pressure, water; Profile ID; RACE SACUS; SACUS/SACUS-II; Salinity; Southwest African Coastal Upwelling System and Benguela Niños; Temperature, water; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Type: Dataset
    Format: text/tab-separated-values, 177881 data points
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    DATA PANGAEA
  • 5
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    Upper-ocean microstructure data from the tropical Angolan upwelling system during METEOR cruise M158 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: Microstructure data was collected using a microstructure profiler MSS90D manufactured by Sea&Sun Technology in cooperation with ISW-Wassermesstechnik. Dissipation rates of turbulent kinetic energy are calculated as described in Schafstall et al. (Journal of Geophysical Research, 2010). Stored parameters include: Dissipation rate of turbulent kinetic energy from 3 microstructure shear sensors, temperature, salinity and depth.
    Keywords: BANINO; Benguela Niños: Physikalische Prozesse und langperiodische Variabilität; DATE/TIME; DEPTH, water; Dissipation rate; Event label; LATITUDE; LONGITUDE; M158; M158_12-1; M158_14-1; M158_15-1; M158_17-1; M158_20-1; M158_22-1; M158_24-1; M158_28-1; M158_30-1; M158_32-1; M158_34-1; M158_38-1; M158_4-1; M158_42-1; M158_44-1; M158_46-1; M158_48-1; M158_5-1; M158_59-1; Meteor (1986); Micro structure probe; MSS; Pressure, water; Profile ID; SACUS/SACUS-II; Salinity; Southwest African Coastal Upwelling System and Benguela Niños; Temperature, water; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Type: Dataset
    Format: text/tab-separated-values, 94319 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 6
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    Upper-ocean microstructure data from the tropical Angolan upwelling system during METEOR cruise M131 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: Microstructure data was collected using a microstructure profiler MSS90D manufactured by Sea&Sun Technology in cooperation with ISW-Wassermesstechnik. Dissipation rates of turbulent kinetic energy are calculated as described in Schafstall et al. (Journal of Geophysical Research, 2010). Stored parameters include: Dissipation rate of turbulent kinetic energy from 2 microstructure shear sensors, temperature, salinity and depth.
    Keywords: BANINO; Benguela Niños: Physikalische Prozesse und langperiodische Variabilität; DATE/TIME; DEPTH, water; Dissipation rate; Event label; LATITUDE; LONGITUDE; M131; M131_1209-1; M131_1211-1; M131_1213-1; M131_1215-1; M131_1217-1; M131_1219-1; M131_1221-1; M131_1223-1; M131_1225-1; M131_1227-1; M131_1229-1; M131_1231-1; M131_1233-1; M131_1243-1; M131_1245-1; M131_1247-1; M131_1249-1; M131_1251-1; M131_1253-1; M131_1255-1; M131_1257-1; M131_1260-1; M131_1262-1; M131_1264-1; M131_1266-1; M131_1268-1; M131_1270-1; M131_1276-1; M131_1278-1; M131_1280-1; M131_1282-1; M131_1284-1; M131_1286-1; M131_1288-1; M131_1290-1; M131_1292-1; M131_1294-1; M131_1296-1; M131_1298-1; M131_1300-1; M131_1303-1; M131_1304-1; M131_1305-1; Meteor (1986); Micro structure probe; MSS; Pressure, water; Profile ID; SACUS/SACUS-II; Salinity; Southwest African Coastal Upwelling System and Benguela Niños; Temperature, water; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Type: Dataset
    Format: text/tab-separated-values, 316408 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 7
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    Body mass-density of Cyclothone species from the SUMMER cruise in Northeast Atlantic Ocean and Mediterranean Sea (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: This dataset contains the values of standard length, wet weight, and body mass-density of Cyclothone spp. measured during the SUMMER cruise (from 30th September to 18th October 2020). Samples were obtained with the "Mesopelagos" midwater trawl during day and night hauls carried out from the surface to 700-800 m depth. The Mesopelagos net consists of graded-mesh netting starting with 30 mm and ending with 4 mm. The specimens collected were immediately identified and measured (standard length, SL). Body-mass densities (ρ) of Cyclothone braueri, C. pseudopallida, C. pygmaea and C. pallida were determined on board via a density-bottle method (Greenlaw, 1977; Mikami et al., 2000).
    Keywords: 29SG20200929; 29SG20200929_1-PEL05; 29SG20200929_1-PEL06; 29SG20200929_2-PEL07; 29SG20200929_3-PEL15; 29SG20200929_3-PEL16; 29SG20200929_3-PEL17; 29SG20200929_4-PEL22; Alboran Sea, Mediterranean Sea; Balearic Islands, western Mediterranean Sea; BATHYPELAGIC; Biomass and Active Flux in the Bathypelagic Zone; body-mass density; bristlemouth; Caliper; Code; CTD; DATE/TIME; Density, mass density; Density-bottle method; DEPTH, water; Estructura y dinámica del ecosistema bentopelágico de talud en dos zonas oligotróficas del Mediterráneo: una aproximación multidisciplinar y a distintas escalas temporales en las Islas Baleares; Event label; fatty-tissue; Fish, body mass density; Fish, standard length; Fish, wet weighted; Gas; Gulf of Cádiz, Atlantic Ocean; Histology; ICM_Excellence_Centre; IDEADOS; LATITUDE; Light mode; LONGITUDE; Mesopelagos; micronekton; Midwater trawl, Mesopelagos (Meillat, 2012); PEL05; PEL06; PEL07; PEL15; PEL16; PEL17; PEL22; Sarmiento de Gamboa; Sea off Lisbon, Atlantic Ocean; Severo Ochoa Centre of Excellence; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Station label; SUMMER; Sustainable Management of Mesopelagic Resources; swimbladder; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Visual observation; Wet mass
    Type: Dataset
    Format: text/tab-separated-values, 1024 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 8
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    Standard length, dry weight and swim bladder percentage gas of Cyclothone species from the IDEADOS and BATHYPELAGIC cruises in Northeast Atlantic Ocean and Mediterranean Sea (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: This dataset contains the values of standard length, dry weight and percentage of gas in Cyclothone spp. swim bladder collected during the Bathypelagic cruise (from 24th May to 23rd June 2018) and IDEADOS cruise (from 12th to 29th July 2010). Samples were obtained with MOCNESS-1 m² (with a 0.2 mm mesh size) zooplankton net during day and night hauls carried out from the surface to 700-800 m during IDEADOS cruise, and to 1800 m in the Bathypelagic cruise. Fish for size frequency distribution were preserved in 5% buffered formalin, and those for weight measurements were frozen at 20°C, and then dry weight (DW, ±0.01 g) and standard length (SL, ±0.01 mm) were measured at the land-based laboratory. The percentage of area with fat tissue (%FT) in Cyclothone spp. swim bladders was linearly regressed against standard length (mm). The maximum percentage area with gas (%GAS) was then estimated as 100-%FT.
    Keywords: 1; 10; 29SG20180524; 3; 4; 5; 6; 7; Balearic Islands, western Mediterranean Sea; BATHYPELAGIC; BATHYPELAGIC_01_D-3; BATHYPELAGIC_01_N-3; BATHYPELAGIC_03_D-3; BATHYPELAGIC_03_N-3; BATHYPELAGIC_04_D-3; BATHYPELAGIC_04_N-3; BATHYPELAGIC_05_D-3; BATHYPELAGIC_05_N-3; BATHYPELAGIC_06_D-3; BATHYPELAGIC_06_N-3; BATHYPELAGIC_07_D-3; BATHYPELAGIC_07_N-3; BATHYPELAGIC_10_D-3; BATHYPELAGIC_10_N-3; Biomass and Active Flux in the Bathypelagic Zone; body-mass density; bristlemouth; Calculated; Calculated average/mean values; Caliper; DATE/TIME; DEPTH, water; Dried and weighted; Dry mass; Estructura y dinámica del ecosistema bentopelágico de talud en dos zonas oligotróficas del Mediterráneo: una aproximación multidisciplinar y a distintas escalas temporales en las Islas Baleares; Event label; fatty-tissue; Fish, standard length; Gas; Histology; ICM_Excellence_Centre; IDEADOS; IDEADOS_0710; IDEADOS_2010_MOC_02; IDEADOS_2010_MOC_06; IDEADOS_2010_MOC_17-900; IDEADOS_2010_MOC_18-500; IDEADOS_2010_MOC_19-900; IDEADOS_2010_MOC_20; IDEADOS-10; LATITUDE; Light mode; Location; LONGITUDE; micronekton; MOC1; MOCNESS opening/closing plankton net 1 sqm; North Atlantic; Sarmiento de Gamboa; Severo Ochoa Centre of Excellence; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Station label; SUMMER; Sustainable Management of Mesopelagic Resources; swimbladder; Swim bladder, gas area; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Visual observation; Water volume, filtered
    Type: Dataset
    Format: text/tab-separated-values, 11656 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 9
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    Basic and other measurements of radiation at station Gobabeb (2023-02) (2023)
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Details
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, standard deviation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyranometer, Kipp & Zonen, CMP22, SN 120330, WRMC No. 20104; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrgeometer, Kipp & Zonen, CGR4, SN 120457, WRMC No. 20201; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 523790 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 10
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    Marine particle size distribution data obtained with an Underwater Vision Profiler 6 mounted on BGC Argo float WMO6904139 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: Here we provide particle size and biovolume distribution data from an Underwater Vision Profiler 6, mounted on a BGC Argo Float with the WMO number 6904139. The float was deployed at the Atlantic Equator on the 14 July 2021 at 0.01 degree South, 23.04 degree West. Parking depth was set at 1000 m and profiling depth to 2000 m. Profiling frequency was every three days. The float moved east and stayed always very close to the equator until it was deliberately picked up on the 23 March 2022 at 0.03 degrees North and 7.39 degrees West.
    Keywords: 0000a_WMO6904139_recovery; 0000p_WMO6904139_recovery; 0001a_WMO6904139_recovery; 0001p_WMO6904139_recovery; 0002a_WMO6904139_recovery; 0002p_WMO6904139_recovery; 0003a_WMO6904139_recovery; 0003p_WMO6904139_recovery; 0004a_WMO6904139_recovery; 0004p_WMO6904139_recovery; 0005a_WMO6904139_recovery; 0005p_WMO6904139_recovery; 0006a_WMO6904139_recovery; 0006p_WMO6904139_recovery; 0007a_WMO6904139_recovery; 0007p_WMO6904139_recovery; 0008a_WMO6904139_recovery; 0008p_WMO6904139_recovery; 0009a_WMO6904139_recovery; 0009p_WMO6904139_recovery; 0010a_WMO6904139_recovery; 0010p_WMO6904139_recovery; 0011a_WMO6904139_recovery; 0011p_WMO6904139_recovery; 0012a_WMO6904139_recovery; 0012p_WMO6904139_recovery; 0013a_WMO6904139_recovery; 0013p_WMO6904139_recovery; 0014a_WMO6904139_recovery; 0014p_WMO6904139_recovery; 0015a_WMO6904139_recovery; 0015p_WMO6904139_recovery; 0016a_WMO6904139_recovery; 0016p_WMO6904139_recovery; 0017a_WMO6904139_recovery; 0017p_WMO6904139_recovery; 0018a_WMO6904139_recovery; 0018p_WMO6904139_recovery; 0019a_WMO6904139_recovery; 0019p_WMO6904139_recovery; 0020a_WMO6904139_recovery; 0020p_WMO6904139_recovery; 0021a_WMO6904139_recovery; 0021p_WMO6904139_recovery; 0022a_WMO6904139_recovery; 0022p_WMO6904139_recovery; 0023a_WMO6904139_recovery; 0023p_WMO6904139_recovery; 0024a_WMO6904139_recovery; 0024p_WMO6904139_recovery; 0025a_WMO6904139_recovery; 0025p_WMO6904139_recovery; 0026a_WMO6904139_recovery; 0026p_WMO6904139_recovery; 0027a_WMO6904139_recovery; 0027p_WMO6904139_recovery; 0028a_WMO6904139_recovery; 0028p_WMO6904139_recovery; 0029a_WMO6904139_recovery; 0029p_WMO6904139_recovery; 0030a_WMO6904139_recovery; 0030p_WMO6904139_recovery; 0031a_WMO6904139_recovery; 0031p_WMO6904139_recovery; 0032a_WMO6904139_recovery; 0032p_WMO6904139_recovery; 0033a_WMO6904139_recovery; 0033p_WMO6904139_recovery; 0034a_WMO6904139_recovery; 0034p_WMO6904139_recovery; 0035a_WMO6904139_recovery; 0035p_WMO6904139_recovery; 0036a_WMO6904139_recovery; 0036p_WMO6904139_recovery; 0037a_WMO6904139_recovery; 0037p_WMO6904139_recovery; 0038a_WMO6904139_recovery; 0038p_WMO6904139_recovery; 0039a_WMO6904139_recovery; 0039p_WMO6904139_recovery; 0040a_WMO6904139_recovery; 0040p_WMO6904139_recovery; 0041a_WMO6904139_recovery; 0041p_WMO6904139_recovery; 0042a_WMO6904139_recovery; 0042p_WMO6904139_recovery; 0043a_WMO6904139_recovery; 0043p_WMO6904139_recovery; 0044a_WMO6904139_recovery; 0044p_WMO6904139_recovery; 0045a_WMO6904139_recovery; 0045p_WMO6904139_recovery; 0046a_WMO6904139_recovery; 0046p_WMO6904139_recovery; 0047a_WMO6904139_recovery; 0047p_WMO6904139_recovery; 0048a_WMO6904139_recovery; 0048p_WMO6904139_recovery; 0049a_WMO6904139_recovery; 0049p_WMO6904139_recovery; 0050a_WMO6904139_recovery; 0050p_WMO6904139_recovery; 0051a_WMO6904139_recovery; 0051p_WMO6904139_recovery; 0052a_WMO6904139_recovery; 0052p_WMO6904139_recovery; 0053a_WMO6904139_recovery; 0053p_WMO6904139_recovery; 0054a_WMO6904139_recovery; 0054p_WMO6904139_recovery; 0055a_WMO6904139_recovery; 0055p_WMO6904139_recovery; 0056a_WMO6904139_recovery; 0056p_WMO6904139_recovery; 0057a_WMO6904139_recovery; 0057p_WMO6904139_recovery; 0058a_WMO6904139_recovery; 0058p_WMO6904139_recovery; 0059a_WMO6904139_recovery; 0059p_WMO6904139_recovery; 0060a_WMO6904139_recovery; 0060p_WMO6904139_recovery; 0061a_WMO6904139_recovery; 0061p_WMO6904139_recovery; 0062a_WMO6904139_recovery; 0062p_WMO6904139_recovery; 0063a_WMO6904139_recovery; 0063p_WMO6904139_recovery; 0064a_WMO6904139_recovery; 0064p_WMO6904139_recovery; 0065a_WMO6904139_recovery; 0065p_WMO6904139_recovery; 0066a_WMO6904139_recovery; 0066p_WMO6904139_recovery; 0067a_WMO6904139_recovery; 0067p_WMO6904139_recovery; 0068a_WMO6904139_recovery; 0068p_WMO6904139_recovery; 0069a_WMO6904139_recovery; 0069p_WMO6904139_recovery; 0070a_WMO6904139_recovery; 0070p_WMO6904139_recovery; 0071a_WMO6904139_recovery; 0071p_WMO6904139_recovery; 0072a_WMO6904139_recovery; 0072p_WMO6904139_recovery; 0073a_WMO6904139_recovery; 0073p_WMO6904139_recovery; 0074a_WMO6904139_recovery; 0074p_WMO6904139_recovery; 0075a_WMO6904139_recovery; 0075p_WMO6904139_recovery; 0076a_WMO6904139_recovery; 0076p_WMO6904139_recovery; 0077a_WMO6904139_recovery; 0077p_WMO6904139_recovery; 0078a_WMO6904139_recovery; 0078p_WMO6904139_recovery; 0079a_WMO6904139_recovery; 0079p_WMO6904139_recovery; 0080a_WMO6904139_recovery; 0080p_WMO6904139_recovery; 0081a_WMO6904139_recovery; 0081p_WMO6904139_recovery; 0082a_WMO6904139_recovery; 0082p_WMO6904139_recovery; 0083a_WMO6904139_recovery; 0083p_WMO6904139_recovery; 0084a_WMO6904139_recovery; 0084p_WMO6904139_recovery; 0085a_WMO6904139_recovery; 0085p_WMO6904139_recovery; ARGOFL; Argo float; Biovolume; DATE/TIME; Event label; in situ imaging; LATITUDE; LONGITUDE; MOPGA-TAD; Particle concentration, fractionated; particle distribution; Pressure, water; Sample code/label; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Tropical Atlantic Deoxygenation: gateway dynamics, feedback mechanisms and ecosystem impacts; Volume
    Type: Dataset
    Format: text/tab-separated-values, 1544207 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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