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  • 2020-2024  (167,437)
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  • 1
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    Unknown
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publication Date: 2024-06-27
    Description: Raw data acquired by position sensors on board RV METEOR during expedition M196 were processed to receive a validated master track which can be used as reference of further expedition data. During M196 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and two C and C Technologies GPS receivers C-NAV3050 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
    Keywords: 1 sec resolution; CT; DAM_Underway; DAM Underway Research Data; GoCW; M196; M196-track; Meteor (1986); Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 79.7 MBytes
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  • 2
    Publication Date: 2024-06-27
    Description: Passive acoustic monitoring (PAM) data were collected by recorder SV1019 of type Sono.Vault (manufactured by develogic GmbH, Hamburg, Germany) at 20.9757 ° S, 5.9845 ° E, mooring AWI247-3, in the eastern Atlantic Ocean off Namibia. During a deployment period from November 2012 to November 2014, passive acoustic data were collected from November 2012 to May 2013 (recording period) by SV1019 off Namibia. The recorder was moored at 736 m depth and scheduled to record continuously at a sample rate of 5,333 Hz. Further details about the data acquisition and processing of this data set can be found in the accompanying metadata file (see Additional metadata) as well as the data processing report (see Data Processing Report). Passive acoustic data archived here represent data processing Level 1+, according to the standards defined in the associated Standard Operation Procedure (SOP) Glossary (Thomisch et al. 2023a). Further information on data processing with regard to data preparation and standardization can be found in the associated SOP Part 1: Data preparation and standardization (Thomisch et al. 2023b).
    Keywords: ANT-XXIX/1; ANT-XXX/1.2; Audio file; Audio file (File Size); DATE/TIME; DEPTH, water; MOOR; Mooring; Passive acoustic recorder Sono.Vault, develogic GmbH; Polarstern; PS81; PS81/017-2; PS88/049-1; PS88.2; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 190 data points
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  • 3
    Publication Date: 2024-06-27
    Description: Passive acoustic monitoring (PAM) data were collected by recorder SV1008 of type Sono.Vault (manufactured by develogic GmbH, Hamburg, Germany) at 20.9633 ° S, 5.9767 ° E, mooring AWI247-2, in the eastern Atlantic Ocean off Namibia. During a deployment period from November 2011 to November 2012, passive acoustic data were collected from November 2011 to August 2012 (recording period) by SV1008 off Namibia. The recorder was moored at 741 m depth and scheduled to record continuously at a sample rate of 5,333 Hz. Further details about the data acquisition and processing of this data set can be found in the accompanying metadata file (see Additional metadata) as well as the data processing report (see Data Processing Report). Passive acoustic data archived here represent data processing Level 2+ (see the associated data processing report), deviating from Standard Operation Procedure (SOP) Glossary (Thomisch et al. 2023a). Further information on data processing with regard to data preparation and standardization can be found in the associated SOP Part 1: Data preparation and standardization (Thomisch et al. 2023b).
    Keywords: ANT-XXIX/1; ANT-XXVIII/1; Audio file; Audio file (File Size); DATE/TIME; DEPTH, water; Mooring (long time); MOORY; Passive acoustic recorder Sono.Vault, develogic GmbH; Polarstern; PS79; PS79/029-1; PS81; PS81/017-1; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 275 data points
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  • 4
    Publication Date: 2024-06-27
    Description: Passive acoustic monitoring (PAM) data were collected by recorder SV1005 of type Sono.Vault (manufactured by develogic GmbH, Hamburg, Germany) at 69.005° S, 6.9815° W, mooring AWI244-2, in the Weddell Sea, Atlantic sector of the Southern Ocean. During a deployment period from December 2010 to December 2012, passive acoustic data were collected from December 2010 to January 2011 (recording period) by SV1005 as part of the Hybrid Antarctic Float Observing System (HAFOS) in the Weddell Sea. The recorder was moored at 1003 m depth and scheduled to record continuously at a sample rate of 5,333 Hz. Further details about the data acquisition and processing of this data set can be found in the accompanying metadata file (see Additional metadata) as well as the data processing report (see Data Processing Report). Passive acoustic data archived here represent data processing Level 2+, deviating from the standards defined in the associated Standard Operation Procedure (SOP) Glossary (Thomisch et al. 2023a). Further information on data processing with regard to data preparation and standardization can be found in the associated SOP Part 1: Data preparation and standardization (Thomisch et al. 2023b).
    Keywords: ANT-XXIX/2; ANT-XXVII/2; Audio file; Audio file (File Size); AWI244-2; DATE/TIME; DEPTH, water; HAFOS; Hybrid Antarctic Float Observation System; MOOR; Mooring; Passive acoustic recorder Sono.Vault, develogic GmbH; Polarstern; PS77; PS77/068-2; PS81; PS81/067-1; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 23 data points
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  • 5
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    Unknown
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-06-27
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Code; DATE/TIME; Dew/frost point; Geopotential of a standard isobaric surface; High cloud; HYGRO; Hygrometer; IZA; Izaña; Low/middle cloud amount; Low cloud; Middle cloud; Monitoring station; MONS; Past weather1; Past weather2; Present weather; Station pressure; Temperature, air; Tenerife, Spain; Thermometer; Total cloud amount; Visual observation; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 1018 data points
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  • 6
    Publication Date: 2024-06-27
    Description: Photomicrographs of representative mineralogy are here presented for each unit defined in our study. Unit A is dominated by quartz and feldspar whereas clay minerals, clinopyroxene and micas are in minor proportions (S4.1 and S4.2). Quartz, especially polycrystalline quartz, is dominant within the Unit B whereas micas and clinopyroxene are low in abundance (S4.3 and S4.4). Unit C is characterized by a high content in clay minerals as well as feldspar and monocrystalline quartz (S4.5). Unit D is characterized by a high content of polycrystalline quartz (chert) and feldspar (S4.6 and S4.7).
    Keywords: Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); deep-marine sediments; File content; petrography analysis; zircon age dating
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 7
    Publication Date: 2024-06-27
    Description: U-Pb zircon age dating was applied on U-channel samples (30cc) that were collected from sandy deposits in cores from IODP Site C0024 (one sample; frontal Nankai accretionary Prism), ODP Site 1177 (two samples; Western Shikoku Basin) and IODP sites C0011 (three samples) and C0012 (one sample; Eastern Shikoku Basin). Detrital zircon U-Pb ages were measured using the London Thermochronology Research Group facilities at UCL based on a New Wave Nd: YAG 213 nm laser ablation system coupled plasma-mass spectrometry. Real time U-Pb were processed using GLITTER data reduction software. Repeated measurements of external zircon standard Plesovice (TIMS reference 337.13 +/-0.37 Myr ago) and NIST 612 silicate glass were used to correct for instrumental mass bias and depth-dependent inter-element fractionation of Pb, Th, and U. 206Pb/238U ages are used for those grain younger than 1 Ga, and for zircon grains older than 1,000 Ma we used the 207Pb/206Pb ages to determine the crystallization age. To better constrain the sediment provenance along the Nankai subduction zone, we integrated published U-Pb zircon age to our study. These include (1) potential sediment sources, e.g., Nagara, Yodo, Tenryu, Kiso and Fuji rivers from Clift et al. (2013) (https://doi.pangaea.de/10.1002/tect.20033), the Yangtze and Yellow rivers from Huang et al. (2020) (https://doi.pangaea.de/10.3390/min10050398), the Shimanto Complex from Shibata et al. (2008) (https://doi.org/10.1111/j.1440-1738.2008.00626.x) and the Sanbagawa Belt from Tsutsumi et al. (2009) (https://doi.org/10.2465/jmps.080416) and (2) published zircon ages from the frontal accretionary prism ((ODP sites 1176 and 1177 and IODP sites C0006E and C0007E; Clift et al., 2013) (https://doi.pangaea.de/10.1002/tect.20033).
    Keywords: 190-1177A; 322-C0011B; 322-C0012A; 358-C0024D; Age; Age, 206Pb/238U Lead-Uranium; Age, 207Pb/206Pb Lead-Lead; Age, 207Pb/235U Lead-Uranium; Age, dated; Age, dated standard error; Age, standard error; Chikyu; deep-marine sediments; DEPTH, sediment/rock; DRILL; Drilling/coring; Drilling/drill rig; DSDP/ODP/IODP sample designation; Event label; Exp322; Exp358; GLITTER - data reduction software; Grains; IODP Depth Scale Terminology; Joides Resolution; Latitude of event; Lead-206/Uranium-238, standard error; Lead-206/Uranium-238 ratio; Lead-207/Lead-206 ratio; Lead-207/Lead-206 ratio, standard error; Lead-207/Uranium-235, standard error; Lead-207/Uranium-235 ratio; Leg190; Longitude of event; NanTroSEIZE Plate Boundary Deep Riser 4; NanTroSEIZE Stage 2: Subduction Input; Percentage; petrography analysis; Philippine Sea; Sample code/label; Thorium; Thorium/Uranium ratio; Uranium; zircon age dating
    Type: Dataset
    Format: text/tab-separated-values, 13881 data points
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  • 8
    Publication Date: 2024-06-27
    Description: Ternary diagrams are commonly used in Earth Sciences to represent numerical data as ratios of three components. For our study, ternary provenance diagrams were created in Microsoft Excel directly from the raw point-count data of sand samples from IODP sites C0002N and C0002P (presented in doi:10.1594/PANGAEA.969334). Raw point-count data were recalculated as volumetric proportions by summing up quartzose, feldspar and lithic fragment framework constituents. Other grains identified in the point counting were excluded from these calculations but were retained for later use in stratigraphic correlation.
    Keywords: 348-C0002N; 348-C0002P; Calculated; Chikyu; deep-marine sediments; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DRILL; Drilling/drill rig; Event label; Exp348; Feldspar, volumetric proportion; Latitude of event; Lithic grains, sedimentary, volumetric proportion; Lithic grains, total, volumetric proportion; Lithic grains, unstable, total, volumetric proportion; Lithic grains, volcanic, volumetric proportion; Longitude of event; Nankai Trough; NanTroSEIZE Plate Boundary Drilling 3; petrography analysis; Quartz, monocrystalline, volumetric proportion; Quartz, polycrystalline, volumetric proportion; Quartz, total, volumetric proportion; Sample code/label; zircon age dating
    Type: Dataset
    Format: text/tab-separated-values, 880 data points
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  • 9
    Publication Date: 2024-06-27
    Keywords: DATE/TIME; DEPTH, water; ELEVATION; Es; Event label; hyperspectral; Hyperspectral free falling profiler, Sea-Bird, HyperPro II [SN: 099 / SN: 262 / SN: 227 / SN: 263]; ICBM; Identification; Institut für Chemie und Biologie des Meeres; Integrated value (400 - 700 nm); irradiance; LATITUDE; Light/Optics; LIOP; LONGITUDE; OceanLight; Pacific Ocean; Radiation, photosynthetically active; SO267/2; SO267/2_10-1; SO267/2_11-1; SO267/2_12-1; SO267/2_13-1; SO267/2_14-1; SO267/2_15-1; SO267/2_16-1; SO267/2_2-1; SO267/2_3-1; SO267/2_4-1; SO267/2_5-1; SO267/2_6-1; SO267/2_7-1; SO267/2_8-1; SO267/2_9-1; Sonne_2; Spectral irradiance, above water at 400 nm; Spectral irradiance, above water at 401 nm; Spectral irradiance, above water at 402 nm; Spectral irradiance, above water at 403 nm; Spectral irradiance, above water at 404 nm; Spectral irradiance, above water at 405 nm; Spectral irradiance, above water at 406 nm; Spectral irradiance, above water at 407 nm; Spectral irradiance, above water at 408 nm; Spectral irradiance, above water at 409 nm; Spectral irradiance, above water at 410 nm; Spectral irradiance, above water at 411 nm; Spectral irradiance, above water at 412 nm; Spectral irradiance, above water at 413 nm; Spectral irradiance, above water at 414 nm; Spectral irradiance, above water at 415 nm; Spectral irradiance, above water at 416 nm; Spectral irradiance, above water at 417 nm; Spectral irradiance, above water at 418 nm; Spectral irradiance, above water at 419 nm; Spectral irradiance, above water at 420 nm; Spectral irradiance, above water at 421 nm; Spectral irradiance, above water at 422 nm; Spectral irradiance, above water at 423 nm; Spectral irradiance, above water at 424 nm; Spectral irradiance, above water at 425 nm; Spectral irradiance, above water at 426 nm; Spectral irradiance, above water at 427 nm; Spectral irradiance, above water at 428 nm; Spectral irradiance, above water at 429 nm; Spectral irradiance, above water at 430 nm; Spectral irradiance, above water at 431 nm; Spectral irradiance, above water at 432 nm; Spectral irradiance, above water at 433 nm; Spectral irradiance, above water at 434 nm; Spectral irradiance, above water at 435 nm; Spectral irradiance, above water at 436 nm; Spectral irradiance, above water at 437 nm; Spectral irradiance, above water at 438 nm; Spectral irradiance, above water at 439 nm; Spectral irradiance, above water at 440 nm; Spectral irradiance, above water at 441 nm; Spectral irradiance, above water at 442 nm; Spectral irradiance, above water at 443 nm; Spectral irradiance, above water at 444 nm; Spectral irradiance, above water at 445 nm; Spectral irradiance, above water at 446 nm; Spectral irradiance, above water at 447 nm; Spectral irradiance, above water at 448 nm; Spectral irradiance, above water at 449 nm; Spectral irradiance, above water at 450 nm; Spectral irradiance, above water at 451 nm; Spectral irradiance, above water at 452 nm; Spectral irradiance, above water at 453 nm; Spectral irradiance, above water at 454 nm; Spectral irradiance, above water at 455 nm; Spectral irradiance, above water at 456 nm; Spectral irradiance, above water at 457 nm; Spectral irradiance, above water at 458 nm; Spectral irradiance, above water at 459 nm; Spectral irradiance, above water at 460 nm; Spectral irradiance, above water at 461 nm; Spectral irradiance, above water at 462 nm; Spectral irradiance, above water at 463 nm; Spectral irradiance, above water at 464 nm; Spectral irradiance, above water at 465 nm; Spectral irradiance, above water at 466 nm; Spectral irradiance, above water at 467 nm; Spectral irradiance, above water at 468 nm; Spectral irradiance, above water at 469 nm; Spectral irradiance, above water at 470 nm; Spectral irradiance, above water at 471 nm; Spectral irradiance, above water at 472 nm; Spectral irradiance, above water at 473 nm; Spectral irradiance, above water at 474 nm; Spectral irradiance, above water at 475 nm; Spectral irradiance, above water at 476 nm; Spectral irradiance, above water at 477 nm; Spectral irradiance, above water at 478 nm; Spectral irradiance, above water at 479 nm; Spectral irradiance, above water at 480 nm; Spectral irradiance, above water at 481 nm; Spectral irradiance, above water at 482 nm; Spectral irradiance, above water at 483 nm; Spectral irradiance, above water at 484 nm; Spectral irradiance, above water at 485 nm; Spectral irradiance, above water at 486 nm; Spectral irradiance, above water at 487 nm; Spectral irradiance, above water at 488 nm; Spectral irradiance, above water at 489 nm; Spectral irradiance, above water at 490 nm; Spectral irradiance, above water at 491 nm; Spectral irradiance, above water at 492 nm; Spectral irradiance, above water at 493 nm; Spectral irradiance, above water at 494 nm; Spectral irradiance, above water at 495 nm; Spectral irradiance, above water at 496 nm; Spectral irradiance, above water at 497 nm; Spectral irradiance, above water at 498 nm; Spectral irradiance, above water at 499 nm; Spectral irradiance, above water at 500 nm; Spectral irradiance, above water at 501 nm; Spectral irradiance, above water at 502 nm; Spectral irradiance, above water at 503 nm; Spectral irradiance, above water at 504 nm; Spectral irradiance, above water at 505 nm; Spectral irradiance, above water at 506 nm; Spectral irradiance, above water at 507 nm; Spectral irradiance, above water at 508 nm; Spectral irradiance, above water at 509 nm; Spectral irradiance, above water at 510 nm; Spectral irradiance, above water at 511 nm; Spectral irradiance, above water at 512 nm; Spectral irradiance, above water at 513 nm; Spectral irradiance, above water at 514 nm; Spectral irradiance, above water at 515 nm; Spectral irradiance, above water at 516 nm; Spectral irradiance, above water at 517 nm; Spectral irradiance, above water at 518 nm; Spectral irradiance, above water at 519 nm; Spectral irradiance, above water at 520 nm; Spectral irradiance, above water at 521 nm; Spectral irradiance, above water at 522 nm; Spectral irradiance, above water at 523 nm; Spectral irradiance, above water at 524 nm; Spectral irradiance, above water at 525 nm; Spectral irradiance, above water at 526 nm; Spectral irradiance, above water at 527 nm; Spectral irradiance, above water at 528 nm; Spectral irradiance, above water at 529 nm; Spectral irradiance, above water at 530 nm; Spectral irradiance, above water at 531 nm; Spectral irradiance, above water at 532 nm; Spectral irradiance, above water at 533 nm; Spectral irradiance, above water at 534 nm; Spectral irradiance, above water at 535 nm; Spectral irradiance, above water at 536 nm; Spectral irradiance, above water at 537 nm; Spectral irradiance, above water at 538 nm; Spectral irradiance, above water at 539 nm; Spectral irradiance, above water at 540 nm; Spectral irradiance, above water at 541 nm; Spectral irradiance, above water at 542 nm; Spectral irradiance, above water at 543 nm; Spectral irradiance, above water at 544 nm; Spectral irradiance, above water at 545 nm; Spectral irradiance, above water at 546 nm; Spectral irradiance, above water at 547 nm; Spectral irradiance, above water at 548 nm; Spectral irradiance, above water at 549 nm; Spectral irradiance, above water at 550 nm; Spectral irradiance, above water at 551 nm; Spectral irradiance, above water at 552 nm; Spectral irradiance, above water at 553 nm; Spectral irradiance, above water at 554 nm; Spectral irradiance, above water at 555 nm; Spectral irradiance, above water at 556 nm; Spectral irradiance, above water at 557 nm; Spectral irradiance, above water at 558 nm; Spectral irradiance, above water at 559 nm; Spectral irradiance, above water at 560 nm; Spectral irradiance, above water at 561 nm; Spectral irradiance, above water at 562 nm; Spectral irradiance, above water at 563 nm; Spectral irradiance, above water at 564 nm; Spectral irradiance, above water at 565 nm; Spectral irradiance, above water at 566 nm; Spectral irradiance, above water at 567 nm;
    Type: Dataset
    Format: text/tab-separated-values, 820827 data points
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  • 10
    Publication Date: 2024-06-27
    Keywords: CT; DATE/TIME; Heading; hypespectral; ICBM; Institut für Chemie und Biologie des Meeres; LATITUDE; LONGITUDE; OceanLight; Pacific Ocean; radiometric quantities; RAMSES-ACC hyperspectral cosine irradiance meter, TriOS; RV Sonne; SO267/2; SO267/2-track; Sonne_2; Spectral irradiance, downward at 320 nm; Spectral irradiance, downward at 321 nm; Spectral irradiance, downward at 322 nm; Spectral irradiance, downward at 323 nm; Spectral irradiance, downward at 324 nm; Spectral irradiance, downward at 325 nm; Spectral irradiance, downward at 326 nm; Spectral irradiance, downward at 327 nm; Spectral irradiance, downward at 328 nm; Spectral irradiance, downward at 329 nm; Spectral irradiance, downward at 330 nm; Spectral irradiance, downward at 331 nm; Spectral irradiance, downward at 332 nm; Spectral irradiance, downward at 333 nm; Spectral irradiance, downward at 334 nm; Spectral irradiance, downward at 335 nm; Spectral irradiance, downward at 336 nm; Spectral irradiance, downward at 337 nm; Spectral irradiance, downward at 338 nm; Spectral irradiance, downward at 339 nm; Spectral irradiance, downward at 340 nm; Spectral irradiance, downward at 341 nm; Spectral irradiance, downward at 342 nm; Spectral irradiance, downward at 343 nm; Spectral irradiance, downward at 344 nm; Spectral irradiance, downward at 345 nm; Spectral irradiance, downward at 346 nm; Spectral irradiance, downward at 347 nm; Spectral irradiance, downward at 348 nm; Spectral irradiance, downward at 349 nm; Spectral irradiance, downward at 350 nm; Spectral irradiance, downward at 351 nm; Spectral irradiance, downward at 352 nm; Spectral irradiance, downward at 353 nm; Spectral irradiance, downward at 354 nm; Spectral irradiance, downward at 355 nm; Spectral irradiance, downward at 356 nm; Spectral irradiance, downward at 357 nm; Spectral irradiance, downward at 358 nm; Spectral irradiance, downward at 359 nm; Spectral irradiance, downward at 360 nm; Spectral irradiance, downward at 361 nm; Spectral irradiance, downward at 362 nm; Spectral irradiance, downward at 363 nm; Spectral irradiance, downward at 364 nm; Spectral irradiance, downward at 365 nm; Spectral irradiance, downward at 366 nm; Spectral irradiance, downward at 367 nm; Spectral irradiance, downward at 368 nm; Spectral irradiance, downward at 369 nm; Spectral irradiance, downward at 370 nm; Spectral irradiance, downward at 371 nm; Spectral irradiance, downward at 372 nm; Spectral irradiance, downward at 373 nm; Spectral irradiance, downward at 374 nm; Spectral irradiance, downward at 375 nm; Spectral irradiance, downward at 376 nm; Spectral irradiance, downward at 377 nm; Spectral irradiance, downward at 378 nm; Spectral irradiance, downward at 379 nm; Spectral irradiance, downward at 380 nm; Spectral irradiance, downward at 381 nm; Spectral irradiance, downward at 382 nm; Spectral irradiance, downward at 383 nm; Spectral irradiance, downward at 384 nm; Spectral irradiance, downward at 385 nm; Spectral irradiance, downward at 386 nm; Spectral irradiance, downward at 387 nm; Spectral irradiance, downward at 388 nm; Spectral irradiance, downward at 389 nm; Spectral irradiance, downward at 390 nm; Spectral irradiance, downward at 391 nm; Spectral irradiance, downward at 392 nm; Spectral irradiance, downward at 393 nm; Spectral irradiance, downward at 394 nm; Spectral irradiance, downward at 395 nm; Spectral irradiance, downward at 396 nm; Spectral irradiance, downward at 397 nm; Spectral irradiance, downward at 398 nm; Spectral irradiance, downward at 399 nm; Spectral irradiance, downward at 400 nm; Spectral irradiance, downward at 401 nm; Spectral irradiance, downward at 402 nm; Spectral irradiance, downward at 403 nm; Spectral irradiance, downward at 404 nm; Spectral irradiance, downward at 405 nm; Spectral irradiance, downward at 406 nm; Spectral irradiance, downward at 407 nm; Spectral irradiance, downward at 408 nm; Spectral irradiance, downward at 409 nm; Spectral irradiance, downward at 410 nm; Spectral irradiance, downward at 411 nm; Spectral irradiance, downward at 412 nm; Spectral irradiance, downward at 413 nm; Spectral irradiance, downward at 414 nm; Spectral irradiance, downward at 415 nm; Spectral irradiance, downward at 416 nm; Spectral irradiance, downward at 417 nm; Spectral irradiance, downward at 418 nm; Spectral irradiance, downward at 419 nm; Spectral irradiance, downward at 420 nm; Spectral irradiance, downward at 421 nm; Spectral irradiance, downward at 422 nm; Spectral irradiance, downward at 423 nm; Spectral irradiance, downward at 424 nm; Spectral irradiance, downward at 425 nm; Spectral irradiance, downward at 426 nm; Spectral irradiance, downward at 427 nm; Spectral irradiance, downward at 428 nm; Spectral irradiance, downward at 429 nm; Spectral irradiance, downward at 430 nm; Spectral irradiance, downward at 431 nm; Spectral irradiance, downward at 432 nm; Spectral irradiance, downward at 433 nm; Spectral irradiance, downward at 434 nm; Spectral irradiance, downward at 435 nm; Spectral irradiance, downward at 436 nm; Spectral irradiance, downward at 437 nm; Spectral irradiance, downward at 438 nm; Spectral irradiance, downward at 439 nm; Spectral irradiance, downward at 440 nm; Spectral irradiance, downward at 441 nm; Spectral irradiance, downward at 442 nm; Spectral irradiance, downward at 443 nm; Spectral irradiance, downward at 444 nm; Spectral irradiance, downward at 445 nm; Spectral irradiance, downward at 446 nm; Spectral irradiance, downward at 447 nm; Spectral irradiance, downward at 448 nm; Spectral irradiance, downward at 449 nm; Spectral irradiance, downward at 450 nm; Spectral irradiance, downward at 451 nm; Spectral irradiance, downward at 452 nm; Spectral irradiance, downward at 453 nm; Spectral irradiance, downward at 454 nm; Spectral irradiance, downward at 455 nm; Spectral irradiance, downward at 456 nm; Spectral irradiance, downward at 457 nm; Spectral irradiance, downward at 458 nm; Spectral irradiance, downward at 459 nm; Spectral irradiance, downward at 460 nm; Spectral irradiance, downward at 461 nm; Spectral irradiance, downward at 462 nm; Spectral irradiance, downward at 463 nm; Spectral irradiance, downward at 464 nm; Spectral irradiance, downward at 465 nm; Spectral irradiance, downward at 466 nm; Spectral irradiance, downward at 467 nm; Spectral irradiance, downward at 468 nm; Spectral irradiance, downward at 469 nm; Spectral irradiance, downward at 470 nm; Spectral irradiance, downward at 471 nm; Spectral irradiance, downward at 472 nm; Spectral irradiance, downward at 473 nm; Spectral irradiance, downward at 474 nm; Spectral irradiance, downward at 475 nm; Spectral irradiance, downward at 476 nm; Spectral irradiance, downward at 477 nm; Spectral irradiance, downward at 478 nm; Spectral irradiance, downward at 479 nm; Spectral irradiance, downward at 480 nm; Spectral irradiance, downward at 481 nm; Spectral irradiance, downward at 482 nm; Spectral irradiance, downward at 483 nm; Spectral irradiance, downward at 484 nm; Spectral irradiance, downward at 485 nm; Spectral irradiance, downward at 486 nm; Spectral irradiance, downward at 487 nm; Spectral irradiance, downward at 488 nm; Spectral irradiance, downward at 489 nm; Spectral irradiance, downward at 490 nm; Spectral irradiance, downward at 491 nm; Spectral irradiance, downward at 492 nm; Spectral irradiance, downward at 493 nm; Spectral irradiance, downward at 494 nm; Spectral irradiance, downward at 495 nm; Spectral irradiance, downward at 496 nm; Spectral irradiance, downward at 497 nm; Spectral irradiance, downward at 498 nm; Spectral irradiance, downward at 499 nm; Spectral irradiance, downward at 500 nm; Spectral irradiance, downward at 501 nm; Spectral irradiance, downward at 502 nm; Spectral irradiance, downward at 503 nm; Spectral irradiance, downward at 504 nm; Spectral irradiance, downward at 505 nm; Spectral irradiance, downward at 506 nm; Spectral irradiance, downward at 507 nm; Spectral irradiance, downward
    Type: Dataset
    Format: text/tab-separated-values, 860152 data points
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  • 11
    Publication Date: 2024-06-27
    Description: Quantitative data on diet composition is key to understand prey–predator interactions and to parameterize ecosystem models. We compiled estimates of diet proportions from 26 mesopelagic fish species belonging to the families Myctophidae, Sternoptychidae and Gonostomatidae sampled in the central and Northeast Atlantic and Mediterranean Sea between 2009 and 2015. The dataset consists of the proportional contribution (mean ± standard deviation) of each food item (recorded to the lowest possible taxonomic resolution) to the diet of a sample of consumers, estimated from Bayesian stable isotope mixing models. For each data record, we also provided the sampling location, geographic coordinates, month and year of sample collection, method of sample collection, taxonomic ranks (phylum, class, order, family), number and size (or size range) of sampled organisms, type of analyses and estimation method, as well as the reference and DOI of the original data source, for further details on the samples analysed and/or the analytical techniques used.
    Keywords: Analytical method; Balearic_Sea_comp; Bayesian mixing model; Canary_Islands_comp; Cape_Blanc_comp; Class; Delphinus delphis; DEPTH, water; Diet proportion; Diet proportion, standard deviation; diet proportions; Equatorial_comp; Event label; Family; Gear; LATITUDE; Location; LONGITUDE; Mauritania_Cape_Verde_comp; mesopelagic fish; mesopelagic food web; Method comment; Month; Number of individuals; Ocean and sea region; Order; Organisms; Persistent Identifier; Phylum; Prey taxa; Record number; Reference/source; Replicates; Sample ID; Size; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Stable isotopes; Stomach contents; SUMMER; Sustainable Management of Mesopelagic Resources; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 6513 data points
    Location Call Number Expected Availability
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  • 12
    Publication Date: 2024-06-27
    Description: Particulate organic carbon (POC) export fluxes are measured using sediment traps. The particle interceptor traps were deployed six times (T1, T2, T3, T4, T6, T7) at different locations off Peru (12.0°S-14.6°S and 77.3°W-78.6°W) during the RV METEOR cruises M136 and M138 at four times in April and two times in June 2017.
    Keywords: Carbon, organic, particulate, flux; Climate - Biogeochemistry Interactions in the Tropical Ocean; Date/Time of event; DEPTH, water; Event label; Latitude of event; Longitude of event; M136; M136_Trap1; M136_Trap2; M136_Trap3; M136_Trap4; M138; M138_Trap6; M138_Trap7; Meteor (1986); Sample code/label; Sediment trap; SFB754; Trap 1; Trap 2; Trap 3; Trap 4; Trap 6; Trap 7
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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  • 13
    Publication Date: 2024-06-27
    Description: Bulk stable isotope ratios, primarily of carbon (δ13C) and nitrogen (δ15N), are increasingly used to examine predator-prey interactions and food web structure. We compiled δ13C and δ15N values of marine taxa from 56 published sources to support investigations on trophic interactions in mesopelagic food webs and assess the importance of mesopelagic organisms in the marine ecosystem. A total of 2095 records were collected, representing 8716 individual organisms from 349 unique species or genera sampled across the central and Northeast Atlantic, and the Mediterranean Sea, between 1905 and 2020. Records include 185 benthic and pelagic fish, 47 cephalopods, 31 marine mammals, 30 crustaceans, 26 elasmobranchs, 16 seabirds, 4 marine turtles, 4 jelly fish, 3 copepods, 2 salps, in addition to data from several organisms only identified to higher taxonomic ranks (family or above). The dataset includes isotopic ratios measured in the tissues or in the whole body of individual organisms, or mean values (and standard deviations) from pooled samples. Because lipids have more negative δ13C values relative to other major biochemical compounds in plant and animal tissues (DeNiro & Epstein, 1977), many studies correct for the lipid effect by extracting lipids from samples before analysis, or a posteriori, through mathematical corrections (Post, 2002). Therefore, δ13C values were reported as uncorrected, lipid-extracted, or mathematically-corrected. When available, the total organic carbon to nitrogen ratio (C:N) was included. For each data record, we also provided the sampling location, geographic coordinates, month and year of sample collection, method of sample collection, taxonomic ranks (phylum, class, order, family), number and size (or size range) of sampled organisms, as well as the reference and DOI of the original data source, for further details on the samples analysed and/or the analytical techniques used.
    Keywords: Azores_comp; Balearic_Sea_comp; Baltimore_comp; Barents_Sea_comp; Bay_of_Biscay_comp; Bay_of_Malaga_comp; Bear_Seamount_comp; Belhaven_beach_comp; Boness_comp; Borve_comp; Brora_Beach_comp; Brue_Isle_of_Lewis_comp; Burntisland_comp; Canary_Islands_comp; Cape_Blanc_comp; Cape_Cod_comp; Cape_Verde_comp; Carbon; Carbon/Nitrogen ratio; Carbon/Nitrogen ratio, standard deviation; Catalonian_Sea_comp; Celtic_Sea_comp; Cephalopods; Chanonry_comp; Class; Comment; Condor_comp; Crustacea; Culross_comp; Cyprus_Turkey_comp; DEPTH, water; Droman_harbour_comp; Dunnet_Bay_comp; Eilean_Dubh_comp; elasmobranchs; Equatorial_comp; Event label; Eyemouth_comp; Family; fish; Galicia_comp; Gear; Greece_comp; Greenland_comp; Gulf_of_Cadiz_comp; Gulf_of_Lions_comp; HoundPt_SQueensferry_comp; Iberian_Peninsula_comp; Iceland_comp; Institution; Investigator; Isle_Of_Skye_comp; Jellyfish; Kirkcaldy_comp; Labrador_Sea_comp; LATITUDE; Location; Loch_Ewe_comp; Loch_Geshad_comp; LONGITUDE; Madeira_comp; Mains_Of_Usan_comp; Majorca_Minorca_comp; Malacleit_North_Uist_comp; marine mammals; marine turtles; Mauritania_Cape_Verde_comp; Mediterranean_comp; mesopelagic food web; Mid-Atlantic_Bight_comp; Mid-Atlantic_Ridge_comp; Month; Newfoundland_Labrador_comp; nitrogen; North_Ireland_comp; North_Sea_comp; Northeast_Atlantic_comp; Northern_British_Isles_comp; Northernmost_Skerry_comp; Nortwest_Africa_comp; Norwegian_Sea_North_comp; Number of individuals; Ocean and sea region; Order; Organisms; Persistent Identifier; Phylum; Port_of_Ness_Lewis_comp; Portugal_comp; Quinish_Mull_Argyll_comp; Record number; Reference/source; Reference of data; Replicates; Rosemarkie_comp; salps; Scotland_comp; Scotland_Wales_comp; Seabirds; Selvagens_comp; Size; South_Glendale_South_Uist_comp; Spain_comp; St_Kilda_comp; Stable isotopes; Strait_of_Gibraltar_comp; SUMMER; Sunamul_comp; Sustainable Management of Mesopelagic Resources; Sweden_comp; Taxon/taxa; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); The_Gut_comp; Tissue Descriptor; US_Virgin_Islands_comp; Village_bay_StKilda_comp; Western_Isles_comp; Year of observation; δ13C; δ13C, standard deviation; δ15N; δ15N, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 53959 data points
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  • 14
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_3-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 29987 data points
    Location Call Number Expected Availability
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  • 15
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_22-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 11464 data points
    Location Call Number Expected Availability
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  • 16
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_9-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 32425 data points
    Location Call Number Expected Availability
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  • 17
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_22-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 34275 data points
    Location Call Number Expected Availability
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  • 18
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_9-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 33687 data points
    Location Call Number Expected Availability
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  • 19
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_5-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 34778 data points
    Location Call Number Expected Availability
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  • 20
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_22-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 34961 data points
    Location Call Number Expected Availability
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  • 21
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    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publication Date: 2024-06-27
    Description: Raw data acquired by position sensors on board RV METEOR during expedition M196 were processed to receive a validated master track which can be used as reference of further expedition data. During M196 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and two C and C Technologies GPS receivers C-NAV3050 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
    Keywords: Calculated; Course; CT; DAM_Underway; DAM Underway Research Data; DATE/TIME; GoCW; LATITUDE; LONGITUDE; M196; M196-track; Meteor (1986); Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 6330 data points
    Location Call Number Expected Availability
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  • 22
    Publication Date: 2024-06-27
    Keywords: DATE/TIME; DEPTH, water; Ed; ELEVATION; Event label; hyperspectral; Hyperspectral free falling profiler, Sea-Bird, HyperPro II [SN: 099 / SN: 262 / SN: 227 / SN: 263]; ICBM; Identification; Institut für Chemie und Biologie des Meeres; Integrated value (400 - 700 nm); irradiance; LATITUDE; Light/Optics; LIOP; LONGITUDE; OceanLight; Pacific Ocean; Radiation, photosynthetically active; SO267/2; SO267/2_10-1; SO267/2_11-1; SO267/2_12-1; SO267/2_13-1; SO267/2_14-1; SO267/2_15-1; SO267/2_16-1; SO267/2_2-1; SO267/2_3-1; SO267/2_4-1; SO267/2_5-1; SO267/2_6-1; SO267/2_7-1; SO267/2_8-1; SO267/2_9-1; Sonne_2; Spectral irradiance, downward at 400 nm; Spectral irradiance, downward at 401 nm; Spectral irradiance, downward at 402 nm; Spectral irradiance, downward at 403 nm; Spectral irradiance, downward at 404 nm; Spectral irradiance, downward at 405 nm; Spectral irradiance, downward at 406 nm; Spectral irradiance, downward at 407 nm; Spectral irradiance, downward at 408 nm; Spectral irradiance, downward at 409 nm; Spectral irradiance, downward at 410 nm; Spectral irradiance, downward at 411 nm; Spectral irradiance, downward at 412 nm; Spectral irradiance, downward at 413 nm; Spectral irradiance, downward at 414 nm; Spectral irradiance, downward at 415 nm; Spectral irradiance, downward at 416 nm; Spectral irradiance, downward at 417 nm; Spectral irradiance, downward at 418 nm; Spectral irradiance, downward at 419 nm; Spectral irradiance, downward at 420 nm; Spectral irradiance, downward at 421 nm; Spectral irradiance, downward at 422 nm; Spectral irradiance, downward at 423 nm; Spectral irradiance, downward at 424 nm; Spectral irradiance, downward at 425 nm; Spectral irradiance, downward at 426 nm; Spectral irradiance, downward at 427 nm; Spectral irradiance, downward at 428 nm; Spectral irradiance, downward at 429 nm; Spectral irradiance, downward at 430 nm; Spectral irradiance, downward at 431 nm; Spectral irradiance, downward at 432 nm; Spectral irradiance, downward at 433 nm; Spectral irradiance, downward at 434 nm; Spectral irradiance, downward at 435 nm; Spectral irradiance, downward at 436 nm; Spectral irradiance, downward at 437 nm; Spectral irradiance, downward at 438 nm; Spectral irradiance, downward at 439 nm; Spectral irradiance, downward at 440 nm; Spectral irradiance, downward at 441 nm; Spectral irradiance, downward at 442 nm; Spectral irradiance, downward at 443 nm; Spectral irradiance, downward at 444 nm; Spectral irradiance, downward at 445 nm; Spectral irradiance, downward at 446 nm; Spectral irradiance, downward at 447 nm; Spectral irradiance, downward at 448 nm; Spectral irradiance, downward at 449 nm; Spectral irradiance, downward at 450 nm; Spectral irradiance, downward at 451 nm; Spectral irradiance, downward at 452 nm; Spectral irradiance, downward at 453 nm; Spectral irradiance, downward at 454 nm; Spectral irradiance, downward at 455 nm; Spectral irradiance, downward at 456 nm; Spectral irradiance, downward at 457 nm; Spectral irradiance, downward at 458 nm; Spectral irradiance, downward at 459 nm; Spectral irradiance, downward at 460 nm; Spectral irradiance, downward at 461 nm; Spectral irradiance, downward at 462 nm; Spectral irradiance, downward at 463 nm; Spectral irradiance, downward at 464 nm; Spectral irradiance, downward at 465 nm; Spectral irradiance, downward at 466 nm; Spectral irradiance, downward at 467 nm; Spectral irradiance, downward at 468 nm; Spectral irradiance, downward at 469 nm; Spectral irradiance, downward at 470 nm; Spectral irradiance, downward at 471 nm; Spectral irradiance, downward at 472 nm; Spectral irradiance, downward at 473 nm; Spectral irradiance, downward at 474 nm; Spectral irradiance, downward at 475 nm; Spectral irradiance, downward at 476 nm; Spectral irradiance, downward at 477 nm; Spectral irradiance, downward at 478 nm; Spectral irradiance, downward at 479 nm; Spectral irradiance, downward at 480 nm; Spectral irradiance, downward at 481 nm; Spectral irradiance, downward at 482 nm; Spectral irradiance, downward at 483 nm; Spectral irradiance, downward at 484 nm; Spectral irradiance, downward at 485 nm; Spectral irradiance, downward at 486 nm; Spectral irradiance, downward at 487 nm; Spectral irradiance, downward at 488 nm; Spectral irradiance, downward at 489 nm; Spectral irradiance, downward at 490 nm; Spectral irradiance, downward at 491 nm; Spectral irradiance, downward at 492 nm; Spectral irradiance, downward at 493 nm; Spectral irradiance, downward at 494 nm; Spectral irradiance, downward at 495 nm; Spectral irradiance, downward at 496 nm; Spectral irradiance, downward at 497 nm; Spectral irradiance, downward at 498 nm; Spectral irradiance, downward at 499 nm; Spectral irradiance, downward at 500 nm; Spectral irradiance, downward at 501 nm; Spectral irradiance, downward at 502 nm; Spectral irradiance, downward at 503 nm; Spectral irradiance, downward at 504 nm; Spectral irradiance, downward at 505 nm; Spectral irradiance, downward at 506 nm; Spectral irradiance, downward at 507 nm; Spectral irradiance, downward at 508 nm; Spectral irradiance, downward at 509 nm; Spectral irradiance, downward at 510 nm; Spectral irradiance, downward at 511 nm; Spectral irradiance, downward at 512 nm; Spectral irradiance, downward at 513 nm; Spectral irradiance, downward at 514 nm; Spectral irradiance, downward at 515 nm; Spectral irradiance, downward at 516 nm; Spectral irradiance, downward at 517 nm; Spectral irradiance, downward at 518 nm; Spectral irradiance, downward at 519 nm; Spectral irradiance, downward at 520 nm; Spectral irradiance, downward at 521 nm; Spectral irradiance, downward at 522 nm; Spectral irradiance, downward at 523 nm; Spectral irradiance, downward at 524 nm; Spectral irradiance, downward at 525 nm; Spectral irradiance, downward at 526 nm; Spectral irradiance, downward at 527 nm; Spectral irradiance, downward at 528 nm; Spectral irradiance, downward at 529 nm; Spectral irradiance, downward at 530 nm; Spectral irradiance, downward at 531 nm; Spectral irradiance, downward at 532 nm; Spectral irradiance, downward at 533 nm; Spectral irradiance, downward at 534 nm; Spectral irradiance, downward at 535 nm; Spectral irradiance, downward at 536 nm; Spectral irradiance, downward at 537 nm; Spectral irradiance, downward at 538 nm; Spectral irradiance, downward at 539 nm; Spectral irradiance, downward at 540 nm; Spectral irradiance, downward at 541 nm; Spectral irradiance, downward at 542 nm; Spectral irradiance, downward at 543 nm; Spectral irradiance, downward at 544 nm; Spectral irradiance, downward at 545 nm; Spectral irradiance, downward at 546 nm; Spectral irradiance, downward at 547 nm; Spectral irradiance, downward at 548 nm; Spectral irradiance, downward at 549 nm; Spectral irradiance, downward at 550 nm; Spectral irradiance, downward at 551 nm; Spectral irradiance, downward at 552 nm; Spectral irradiance, downward at 553 nm; Spectral irradiance, downward at 554 nm; Spectral irradiance, downward at 555 nm; Spectral irradiance, downward at 556 nm; Spectral irradiance, downward at 557 nm; Spectral irradiance, downward at 558 nm; Spectral irradiance, downward at 559 nm; Spectral irradiance, downward at 560 nm; Spectral irradiance, downward at 561 nm; Spectral irradiance, downward at 562 nm; Spectral irradiance, downward at 563 nm; Spectral irradiance, downward at 564 nm; Spectral irradiance, downward at 565 nm; Spectral irradiance, downward at 566 nm; Spectral irradiance, downward at 567 nm; Spectral irradiance, downward at 568 nm; Spectral irradiance, downward at 569 nm; Spectral irradiance, downward at 570 nm; Spectral irradiance, downward at 571 nm; Spectral irradiance, downward at 572 nm; Spectral irradiance, downward at 573 nm; Spectral irradiance, downward at 574 nm; Spectral irradiance, downward at 575 nm; Spectral irradiance, downward at 576 nm; Spectral irradiance, downward at 577 nm; Spectral irradiance, downward at 578 nm; Spectral irradiance, downward at 579 nm; Spectral
    Type: Dataset
    Format: text/tab-separated-values, 567711 data points
    Location Call Number Expected Availability
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  • 23
    Publication Date: 2024-06-27
    Description: Current velocities of the upper water column along the cruise track of R/V Meteor III cruise MET189 were collected by a vessel-mounted 38 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 5.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 16.00 m, a blanking distance of 8.00 m, and a total of 80 bins, covering the depth range between 29.0 m and 1293.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. Measured velocities and bin-depth mapping were corrected due to occasional incorrect temperature measurements at the transducer that affected the sound velocity calculation. Corrected sound velocity values were derived using temperature measured by the ship's thermosalinograph. Single-ping data / ping ensembles were screened for bottom signals and, where appropriate, a bottom mask was manually processed. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (-44.7816° +/- 0.5790°) and scale factor (1.0033 +/- 0.0097) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 60 s. Velocity quality flagging is based on following threshold criteria: abs(UC) or abs(VC) 〉 1.5 m/s, rms(UC_z) or rms(VC_z) 〉 0.3.
    Keywords: BANINO; Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; LATITUDE; LONGITUDE; M189; M189_0_Underway-4; Meteor (1986); Pings, averaged to a double ensemble value; Quality flag, current velocity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Vessel mounted Acoustic Doppler Current Profiler [38 kHz]; VMADCP-38
    Type: Dataset
    Format: text/tab-separated-values, 5561535 data points
    Location Call Number Expected Availability
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  • 24
    Publication Date: 2024-06-27
    Description: Fatty acid (FA) composition has increasingly been used to estimate the dietary preference of marine organisms. Specific fatty acids and fatty acid ratios serve as trophic markers (FATM) and have the potential to provide insights on the long-term dietary preference of organisms. FATM have been applied for this purpose on various zooplankton, fish and up to whales. We aim to build up a database of new and published data on fatty acid content of mesopelagic fish and their predators from the central and Northeast Atlantic, and the Mediterranean Sea, to use in FATM food web studies, investigating the importance of mesopelagic organisms as predators and prey in the marine ecosystem. Here we compiled FA content (i.e., the proportion of each FA measured in sampled tissues or in the whole body of organisms in relation to total FAs analysed) of 36 fish species or genera, 15 seabirds, five marine mammals, two cephalopods, one turtle, one jelly fish, and one shark. For each record, we included all FAs with values above 0.1% of total FAs and report the percentage values as provided in the original data source. Each data record is associated with information on the sampling location, geographic coordinates, month and year of sample collection, method of sample collection, taxonomic ranks (phylum, class, order, family), number and size (or size range) of sampled organisms, as well as the reference and DOI of the original data source, for further details on the samples analysed and/or the analytical techniques used.
    Keywords: (9Z)-heptadec-9-enoic acid; (9Z)-heptadec-9-enoic acid, standard deviation; 12,15 Octadecadienoic acid of total fatty acids; 3,6,9,12 Hexadecatetraenoic acid of total fatty acids; 4,7,10,13,16-Docosapentaenoic acid; 6,9,12,15-Hexadecatetraenoic acid of total fatty acids; 6,9,12-Hexadecatrienoic acid of total fatty acids; 9,12-Hexadecadienoic acid of total fatty acids; 9-Tetradecenoic acid of total fatty acids; 9-Tetradecenoic acid of total fatty acids, standard deviation; Adriatic_Sea_comp; all-cis-11,14,17-Eicosatrienoic acid of total fatty acids; all-cis-11,14,17-Eicosatrienoic acid of total fatty acids, standard deviation; all-cis-11,14-Eicosadienoic acid of total fatty acids; all-cis-11,14-Eicosadienoic acid of total fatty acids, standard deviation; all-cis-11,14-Octadecadienoic acid of total fatty acids; all-cis-13,16,19-Docosatrienoic acid of total fatty acids; all-cis-3,6,9,12,15-Octadecapentaenoic acid of total fatty acids; all-cis-4,7,10,13,16,19-Docosahexaenoic acid of total fatty acids; all-cis-4,7,10,13,16,19-Docosahexaenoic acid of total fatty acids, standard deviation; all-cis-4,7,10,13,16-Docosapentaenoic acid, standard deviation; all-cis-5,8,11,14,17-Eicosapentaenoic acid of total fatty acids; all-cis-5,8,11,14,17-Eicosapentaenoic acid of total fatty acids, standard deviation; all-cis-5,8,11,14-Eicosatetraenoic acid of total fatty acids; all-cis-5,8,11,14-Eicosatetraenoic acid of total fatty acids, standard deviation; all-cis-6,9,12,15,18-Heneicosapentaenoic acid of total fatty acids; all-cis-6,9,12,15,18-Heneicosapentaenoic acid of total fatty acids, standard deviation; all-cis-6,9,12,15-Hexadecatetraenoic acid of total fatty acids, standard deviation; all-cis-6,9,12,15-Octadecatetraenoic acid of total fatty acids; all-cis-6,9,12,15-Octadecatetraenoic acid of total fatty acids, standard deviation; all-cis-6,9,12-Octadecatrienoic acid of total fatty acids; all-cis-6,9,12-Octadecatrienoic acid of total fatty acids, standard deviation; all-cis-7,10,13,16,19-Docosapentaenoic acid of total fatty acids; all-cis-7,10,13,16,19-Docosapentaenoic acid of total fatty acids, standard deviation; all-cis-7,10,13,16-Docosatetraenoic acid of total fatty acids; all-cis-7,10,13,16-Docosatetraenoic acid of total fatty acids, standard deviation; all-cis-7,10,13-Hexadecatrienoic acid of total fatty acids; all-cis-7,10-Hexadecadienoic acid of total fatty acids; all-cis-8,11,14,17-Eicosatetraenoic acid of total fatty acids; all-cis-8,11,14,17-Eicosatetraenoic acid of total fatty acids, standard deviation; all-cis-8,11,14-Eicosatrienoic acid of total fatty acids; all-cis-8,11,14-Eicosatrienoic acid of total fatty acids, standard deviation; all-cis-9,12,15-Hexadecadienoic acid of total fatty acids; all-cis-9,12,15-Octadecatrienoic acid of total fatty acids; all-cis-9,12,15-Octadecatrienoic acid of total fatty acids, standard deviation; all-cis-9,12-Hexadecadienoic acid of total fatty acids, standard deviation; all-cis-9,12-Hexadecatrienoic acid of total fatty acids, standard deviation; all-cis-9,12-Octadecadienoic acid of total fatty acids; all-cis-9,12-Octadecadienoic acid of total fatty acids, standard deviation; Azores_comp; Balearic_Sea_comp; Barbate_comp; Barents_Sea_comp; Canary_Islands_comp; Cape_Verde_comp; Catalonian_Sea_comp; Central_Northeastern_Atlantic_comp; Cephalopods; cis-10-Heptadecenoic acid of total fatty acids; cis-10-Heptadecenoic acid of total fatty acids, standard deviation; cis-11-Docosenoic acid of total fatty acids; cis-11-Docosenoic acid of total fatty acids, standard deviation; cis-11-Hexadecenoic acid of total fatty acids, standard deviation; cis-11-Hexadecenoic acid of total fatty acids (IUPAC: (11Z)-hexadec-11-enoic acid); cis-11-Icosenoic acid of total fatty acids; cis-11-Icosenoic acid of total fatty acids, standard deviation; cis-11-Octadecenoic acid of total fatty acids, standard deviation; cis-11-Octadecenoic acid of total fatty acids (IUPAC: Octadec-11-enoic acid); cis-13-Docosenoic acid of total fatty acids; cis-13-Docosenoic acid of total fatty acids, standard deviation; cis-13-Icosenoic acid of total fatty acids; cis-13-Icosenoic acid of total fatty acids, standard deviation; cis-13-Octadecenoic acid of total fatty acids; cis-13-Octadecenoic acid of total fatty acids, standard deviation; cis-15-Docosenoic acid of total fatty acids; cis-15-Docosenoic acid of total fatty acids, standard deviation; cis-15-Tetracosenoic acid of total fatty acids; cis-15-Tetracosenoic acid of total fatty acids, standard deviation; cis-7-Hexadecenoic acid of total fatty acids; cis-7-Hexadecenoic acid of total fatty acids, standard deviation; cis-9-Hexadecenoic acid of total fatty acids, standard deviation; cis-9-Hexadecenoic acid of total fatty acids (IUPAC: (9Z)-hexadec-9-enoic acid); cis-9-Icosanoic acid of total fatty acids; cis-9-Icosanoic acid of total fatty acids, standard deviation; cis-9-Octadecenoic acid of total fatty acids (IUPAC: Octadec-9-enoic acid); Class; Comment; Decanoic acid of total fatty acids; DEPTH, water; Docosanoic acid, standard deviation; Docosanoic acid of total fatty acids; Dodecanoic acid of total fatty acids; Dodecanoic acid of total fatty acids, standard deviation; dolphins; Ebro_Delta_comp; elasmobranchs; Event label; Family; fatty acids; Finnmark_comp; Gear; Heptadecanoic acid, standard deviation; Heptadecanoic acid of total fatty acids; Hexadecadienoic acid of total fatty acids; Hexadecanoic acid, standard deviation; Hexadecanoic acid of total fatty acids; Hexadecatetraenoic acid of total fatty acids; Hexadecatetraenoic acid of total fatty acids, standard deviation; Hexadecatrienoic acid of total fatty acids; Hexadecatrienoic acid of total fatty acids, standard deviation; Hexadecenoic acid of total fatty acids; Icosanoic acid, standard deviation; Icosanoic acid of total fatty acids; Institution; Investigator; Irminger_Sea_comp; Isle_of_May_comp; Jellyfish; LATITUDE; Lipids, per total wet mass; Location; Lofoten_Vesteralen_comp; LONGITUDE; Madeira_comp; marine mammals; Mauritania_comp; mesopelagic fish; mesopelagic food web; Mid_North_Atlantic_comp; Month; North_Sea_comp; Norwegian_Sea_North_comp; Number of individuals; Ocean and sea region; Octadec-7-enoic acid of total fatty acids; Octadec-7-enoic acid of total fatty acids, standard deviation; Octadec-9-enoic acid, standard deviation; Octadecanoic acid, standard deviation; Octadecanoic acid of total fatty acids; Octadecatetraenoic acid 18:4(n-4) of total fatty acids; Octadecenoic acid of total fatty acids; Order; Organisms; Pentadecanoic acid, standard deviation; Pentadecanoic acid of total fatty acids; Persistent Identifier; Phylum; Raso_Islet_Cape_Verde_comp; Record number; Reference/source; Replicates; Reykjanes_Ridge_comp; Seabirds; Size; Spanish_coast_comp; Spitsbergen_Bear_Island_comp; SUMMER; Sustainable Management of Mesopelagic Resources; Svalbard_comp; Taxon/taxa; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Tetracosanoic acid, standard deviation; Tetracosanoic acid of total fatty acids; Tetradecanoic acid, standard deviation; Tetradecanoic acid of total fatty acids; trophic markers; Tropic_Seamount_comp; Wet mass; Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 16550 data points
    Location Call Number Expected Availability
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  • 25
    Publication Date: 2024-06-27
    Description: Potential drivers of export flux attenuation: relationship between carbon export flux and satellite-derived primary production28 (PP, during period of deployment), export flux attenuation coefficient (Martin-b) and biochemical parameters indicative of particle quality as obtained in the deepest trap of each deployment. The particle interceptor traps were deployed six times (T1, T2, T3, T4, T6, T7) at different locations off Peru (12.0°S-14.6°S and 77.3°W-78.6°W) during the RV METEOR cruises M136 and M138 at four times in April and two times in June 2017.
    Keywords: Carbon, flux; Carbon, organic, particulate/Biogenic silica; Carbon, organic, particulate/chlorophyll a ratio; Carbon/Nitrogen ratio; Climate - Biogeochemistry Interactions in the Tropical Ocean; Coefficient; Event label; M136; M136_Trap1; M136_Trap2; M136_Trap3; M136_Trap4; M138; M138_Trap6; M138_Trap7; Meteor (1986); Phaeopigments/chlorophyll a ratio; Primary production, integrated; Sample code/label; Sediment trap; SFB754; Trap 1; Trap 2; Trap 3; Trap 4; Trap 6; Trap 7
    Type: Dataset
    Format: text/tab-separated-values, 48 data points
    Location Call Number Expected Availability
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  • 26
    Publication Date: 2024-06-27
    Description: Zooplankton distribution in the OMZ. The particle interceptor traps were deployed six times (T1, T2, T3, T4, T6, T7) at different locations off Peru (12.0°S-14.6°S and 77.3°W-78.6°W) during the RV METEOR cruises M136 and M138 at four times in April and two times in June 2017.
    Keywords: Abundance; Climate - Biogeochemistry Interactions in the Tropical Ocean; Equivalent spherical diameter; Event label; Flux; M136; M136_Trap4; M138; M138_Trap7; Meteor (1986); Particle number, fractionated; Replicates; Sample code/label; Sediment trap; SFB754; Trap 4; Trap 7
    Type: Dataset
    Format: text/tab-separated-values, 1750 data points
    Location Call Number Expected Availability
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  • 27
    Publication Date: 2024-06-27
    Description: Zooplankton distribution in the OMZ. The particle interceptor traps were deployed six times (T1, T2, T3, T4, T6, T7) at different locations off Peru (12.0°S-14.6°S and 77.3°W-78.6°W) during the RV METEOR cruises M136 and M138 at four times in April and two times in June 2017.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD/Rosette; CTD 003; CTD 005; CTD 006; CTD 008; CTD 009; CTD 011; CTD 012; CTD 013; CTD 014; CTD 017; CTD 020; CTD 027; CTD 034; CTD 035; CTD 039; CTD 050; CTD 053; CTD 058; CTD 059; CTD 060; CTD 069; CTD 074; CTD 075; CTD 076; CTD 077; CTD 078; CTD 079; CTD 081; CTD 082; CTD 084; CTD 087; CTD 091; CTD 092; CTD 096; CTD 097; CTD 098; CTD 099; CTD 100; CTD 101; CTD 103; CTD 108; CTD 109; CTD 111; CTD 113; CTD 114; CTD 116; CTD 117; CTD 118; CTD 119; CTD 120; CTD 121; CTD 125; CTD 127; CTD 129; CTD 130; CTD 131; CTD 132; CTD 133; CTD 135; CTD 136; CTD 137; CTD 138; CTD 142; CTD-RO; Event label; LATITUDE; LONGITUDE; M135; M135_275-2; M135_276-1; M135_277-2; M135_279-2; M135_280-1; M135_283-1; M135_290-3; M135_291-1; M135_293-2; M135_295-1; M135_296-1; M135_297-3; M135_298-1; M135_299-2; M135_300-1; M135_301-2; M135_302-1; M135_310-1; M135_312-1; M135_313-3; M135_314-1; M135_315-1; M135_316-1; M135_317-1; M135_318-1; M135_319-1; M135_320-2; M135_321-1; M135_325-1; M136; M136_346-1; M136_348-1; M136_351-1; M136_353-1; M136_360-1; M136_362-1; M136_368-1; M136_370-1; M136_375-1; M136_380-1; M136_396-1; M136_402-1; M136_445-1; M136_463-1; M136_467-1; M136_468-1; M136_495-1; M136_516-1; M136_520-1; M136_521-1; M136_522-1; M136_523-1; M136_547-1; M136_567-1; M136_581-1; M136_583-1; M136_585-1; M136_587-1; M138; M138_879-3; M138_888-3; M138_892-2; M138_898-1; M138_907-1; M138_908-1; M138_909-1; M138_910-1; M138_911-1; M138_913-1; M138_917-3; Meteor (1986); Oxygen; Pressure, water; Sample code/label; SFB754; SFB754/POSTRE-II; Taxon/taxa; Temperature, water; Time of day
    Type: Dataset
    Format: text/tab-separated-values, 34144 data points
    Location Call Number Expected Availability
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  • 28
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_9-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 34494 data points
    Location Call Number Expected Availability
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  • 29
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_9-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 28687 data points
    Location Call Number Expected Availability
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  • 30
    Publication Date: 2024-06-27
    Description: Potential drivers of export flux attenuation: biochemical parameters indicative of particle quality as obtained in the deepest trap of each deployment. The particle interceptor traps were deployed six times (T1, T2, T3, T4, T6, T7) at different locations off Peru (12.0°S-14.6°S and 77.3°W-78.6°W) during the RV METEOR cruises M136 and M138 at four times in April and two times in June 2017.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; DEPTH, water; Event label; M136; M136_Trap1; M136_Trap2; M136_Trap3; M136_Trap4; M138; M138_Trap6; M138_Trap7; Meteor (1986); Phaeopigments/chlorophyll a ratio; Sample code/label; Sediment trap; SFB754; Trap 1; Trap 2; Trap 3; Trap 4; Trap 6; Trap 7
    Type: Dataset
    Format: text/tab-separated-values, 89 data points
    Location Call Number Expected Availability
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  • 31
    Publication Date: 2024-06-27
    Description: Fractional trophic levels (i.e., trophic positions) describe the position of organisms within food webs and help define their functional roles in ecosystems (Odum & Heald, 1975). Trophic positions are thus critical for characterizing species' diets and energy pathways, investigating food web dynamics and ecosystem functioning, and assessing ecosystem health and resilience (Pauly et al., 1998; Pauly & Watson, 2005; Vander Zanden & Fetzer, 2007). We compiled estimates of trophic positions of marine organisms sampled across North Atlantic and Mediterranean waters between 1974 and 2015, gathered from 33 published and unpublished sources. The dataset comprises 208 unique species or genera, including zooplankton, decapods, cephalopods, pelagic and benthic fish, elasmobranchs, marine mammals, marine turtles, seabirds, as well as detritus. Estimates of trophic position were based on the analyses of stomach contents, bulk nitrogen stable isotopes (δ15N values), or amino acid compound-specific nitrogen isotopic analysis. For each data record, we also provided the sampling location, geographic coordinates, month and year of sample collection, method of sample collection, taxonomic ranks (phylum, class, order, family), number and size (or size range) of sampled organisms, type of analyses and estimation method, as well as the reference and DOI of the original data source, for further details on the samples analysed and/or the analytical techniques used.
    Keywords: Analytical method; Azores_comp; Azores-Iberian_Peninsula_comp; Balearic_Sea_comp; Barents_Sea_comp; Bay_of_Biscay_comp; Bay_of_Malaga_comp; Bear_Seamount_comp; Canary_Islands_comp; Cape_Blanc_comp; Cape_Verde_comp; Catalonian_Sea_comp; Cephalopods; Class; Comment; Condor_comp; Crustacea; DEPTH, water; elasmobranchs; Equatorial_comp; Event label; Family; fish; France_comp; Gear; Gulf_of_Lions_comp; Iberian_Peninsula_comp; Institution; Investigator; Jellyfish; LATITUDE; Location; LONGITUDE; marine mammals; marine turtles; Mediterranean_comp; mesopelagic food web; Method comment; Month; Newfoundland_Labrador_comp; North_Sea_comp; North_Water_polynya_comp; Northeast_Atlantic_comp; Number of individuals; Ocean and sea region; Order; Organisms; Persistent Identifier; Phylum; Portugal_comp; Record number; Reference/source; Replicates; salps; Scotland_comp; Seabirds; Size; Spain_comp; Strait_of_Gibraltar_comp; SUMMER; Sustainable Management of Mesopelagic Resources; Taxon/taxa; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Thracian_Sea_comp; Tissue Descriptor; Trophic level; Trophic level, standard deviation; trophic position; Tyrrhenian_Sea_comp; Wales_comp; Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 15378 data points
    Location Call Number Expected Availability
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  • 32
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_2-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 36833 data points
    Location Call Number Expected Availability
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  • 33
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_22-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 34300 data points
    Location Call Number Expected Availability
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  • 34
    Publication Date: 2024-06-27
    Description: Stomach contents analysis is a standard dietary assessment method that potentially enables quantifying diet components with high taxonomic resolution. We compiled diet compositions from stomach content analysis from 75 unique species or genera: 32 fish, 19 marine mammals, 14 elasmobranchs, 9 seabirds and one marine turtle. Data were gathered from 89 published sources that included samples collected between 1885 and 2016 throughout the central and Northeast Atlantic, and the Mediterranean Sea. When available, we reported the percentage number of individuals of a prey type as a proportion of the total number of prey items (%N), the proportion of a prey item by weight (%W), and the proportion of stomachs containing a particular prey item (i.e. percent frequency of occurrence, %F). For each data record, we also provided the sampling location, geographic coordinates, month and year of sample collection, method of sample collection, taxonomic ranks (phylum, class, order, family), number and size (or size range) of sampled organisms, as well as the reference and DOI of the original data source, for further details on the samples analysed and/or the analytical techniques used.
    Keywords: Adriatic_Sea_comp; Azores_comp; Azores-Iberian_Peninsula_comp; Azores-Madeira-Galicia_comp; Balearic_Sea_comp; Baltic_Sea_comp; bathypelagic fish; Bay_of_Biscay_comp; Bay_of_Biscay_western_Channel_comp; Bay_of_Malaga_comp; Bear_Island_comp; Canary_Islands_comp; Cariaco_Trench_Caribbean_Sea_comp; Catalonian_Sea_comp; Charlie-Gibbs_Fracture_comp; Class; Coast_of_Finmark_comp; Coast_of_Kola_comp; Comment; Danois_Bank_Cantabria_Bay_Biscay_comp; Denmark_comp; DEPTH, water; diet composition; elasmobranchs; England_western_channel_comp; Event label; Family; Faraday_Seamount_comp; Faroe_Islands_comp; Faroe_Shetland_Islands_comp; France_comp; Galicia_comp; Gear; Greece_comp; Gulf_of_Cadiz_comp; Gulf_of_Lions_comp; Hyeres_archipelago_comp; Iceland_comp; Ionian_Sea_comp; Ireland_comp; large pelagic fish; LATITUDE; Levantine_Sea_comp; Location; Lofoten_Vesteralen_comp; LONGITUDE; Madeira_comp; marine mammals; marine turtles; Mauritania_Cape_Verde_comp; mesopelagic fish; mesopelagic food web; Mid-Atlantic_Bight_comp; Month; Netherlands_comp; North_Sea_comp; Northeast_Atlantic_comp; Number of individuals; Number of prey; Occurrence; Ocean and sea region; Order; Organisms; pelagic fish; Persistent Identifier; Phylum; Portugal_comp; Prey, mass; Prey taxa; Record number; Reference/source; Replicates; Reykjanes_Ridge_comp; Sample ID; Scotland_comp; Seabirds; Size; Southwest_Ireland_comp; Spain_comp; stomach content analysis; Strait_of_Gibraltar_comp; Strait_of_Messina_comp; Strait_of_Sicily-Gulf_of_Gabes_comp; SUMMER; Sustainable Management of Mesopelagic Resources; Taxon/taxa; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Tyrrhenian_Sea_comp; West_of_Spitsbergen_comp; Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 283941 data points
    Location Call Number Expected Availability
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  • 35
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_22-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 36591 data points
    Location Call Number Expected Availability
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  • 36
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_22-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 34350 data points
    Location Call Number Expected Availability
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  • 37
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_22-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 338 data points
    Location Call Number Expected Availability
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  • 38
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_22-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 33750 data points
    Location Call Number Expected Availability
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  • 39
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_3-2; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 35738 data points
    Location Call Number Expected Availability
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  • 40
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_2-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 37257 data points
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  • 41
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_9-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 36966 data points
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  • 42
    facet.materialart.
    Unknown
    PANGAEA
    In:  Federal Institute for Geosciences and Natural Resources
    Publication Date: 2024-06-27
    Description: Raw data acquired by position sensors on board RV SONNE during expedition SO301 were processed to receive a validated master track which can be used as reference of further expedition data. During SO301 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and two GPS receivers SAAB MGL-4 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
    Keywords: Calculated; Course; CT; DAM_Underway; DAM Underway Research Data; DATE/TIME; LATITUDE; LONGITUDE; SCIROCCO; SO301; SO301-track; Sonne_2; Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 12376 data points
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  • 43
    Publication Date: 2024-06-27
    Description: The present dataset contains coccolithophores abundances (coccospheres/L). The samples were collected between Barcelona and the Ebro Delta (Western Mediterranean), during the MERS-BLUEISLAND cruise in November 2019, with rosette Niskin bottles investigating the photic zone (0-200 m). Quantitative analyses were performed using a polarized light microscope at 1000× magnification. Abundances were determined by counting at least 300 coccospheres per sample when possible. Coccosphere density and species relative abundances were calculated using the following formula: CD = (A × N)/(a × V) where A is the filtration area (mm2), N is the total number of coccospheres, a is the scanned area (mm2) and V is the volume of the filtered water (L). The Upper Photic Zone (UPZ) group includes Rhabdosphaera clavigera, Syracosphaera pulchra, Coronosphaera mediterranea, Umbellosphaera tenuis, Umbellosphaera spp., Discosphaera tubifera, Umbilicosphaera sibogae, Syracosphaera anthos, while Florisphaera profunda and Gladiolithus flabellatus were grouped as Lower Photic Zone (LPZ) taxa. The diversity of the total assemblage was estimated according to Harper (1999, doi:10.1017/S0016756800334410).
    Keywords: Acanthoica quattrospina; Alisphaera spp.; Anthosphaera robusta; Bottle, Niskin; Calcidiscus spp.; Calciosolenia brasiliensis; Calciosolenia murrayi; Calculated; Ceratolithus spp.; Coccolithophores; Coccoliths, lower photic zone taxa; Coccoliths, upper photic zone taxa; Coccosphere density; Coccospheres, density; Coronosphaera mediterranea; DATE/TIME; DEPTH, water; Discosphaera tubifera; Ebro River Delta; Elevation of event; Emiliania huxleyi; Evenness of species; Event label; Florisphaera profunda; Gephyrocapsa oceanica; Gephyrocapsa spp.; Gladiolithus flabellatus; Helicosphaera carteri; Helicosphaera spp.; Latitude of event; Light microscope, Zeiss [1000x magnification]; Living coccolithophores; Longitude of event; MERS-BLUEISLANDS_STD10; MERS-BLUEISLANDS_STD14; MERS-BLUEISLANDS_STD15; MERS-BLUEISLANDS_STD16; MERS-BLUEISLANDS_STD17; MERS-BLUEISLANDS_STD18; MERS-BLUEISLANDS_STD2; MERS-BLUEISLANDS_STD4; MERS-BLUEISLANDS_STD6; MERS-BLUEISLANDS_STD7; MERS-BLUEISLANDS_STD8; NIS; Observation; Pontosphaera spp.; Pontosphaera syracusana; Rhabdosphaera clavigera; Rhabdosphaera stylifera; Scyphosphaera apsteinii; Shannon Diversity Index; Species richness; Station label; Syracosphaera anthos; Syracosphaera pulchra; Syracosphaera sp.; Syracosphaera spp.; Umbellosphaera spp.; Umbellosphaera tenuis; Umbilicosphaera sibogae; Western Mediterranean Sea
    Type: Dataset
    Format: text/tab-separated-values, 2926 data points
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  • 44
    facet.materialart.
    Unknown
    PANGAEA
    In:  Federal Institute for Geosciences and Natural Resources
    Publication Date: 2024-06-27
    Description: Raw data acquired by position sensors on board RV SONNE during expedition SO301 were processed to receive a validated master track which can be used as reference of further expedition data. During SO301 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and two GPS receivers SAAB MGL-4 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
    Keywords: 1 sec resolution; CT; DAM_Underway; DAM Underway Research Data; SCIROCCO; SO301; SO301-track; Sonne_2; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 159.3 MBytes
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  • 45
    Publication Date: 2024-06-27
    Description: The present dataset contains environmental variables: temperature, salinity, fluorescence, turbidity, nitrite, nitrate, phosphate, silicon dioxide, total alkalinity, dissolved inorganic carbon and pH. The samples were collected between Barcelona and the Ebro Delta (Western Mediterranean), during the MERS-BLUEISLAND cruise in November 2019, with rosette Niskin bottles equipped with CTD investigating the photic zone (0-200 m).
    Keywords: Alkalinity, total; Automatic potentiometric titrator, Methrom, Titrando 909; Bottle, Niskin; Calculated; Carbon, inorganic, dissolved; Chlorophyll fluorometer, Seapoint, Seapoint chlorophyll fluorometer; CTD, Sea-Bird, measured with conductivity sensor, SEA-BIRD, SBE4C; CTD, Sea-Bird, measured with temperature sensor, SEA-BIRD SBE 3Plus; CTD, Sea-Bird, measured with turbidity meter, SEA-BIRD, STM; DATE/TIME; DEPTH, water; Ebro River Delta; Elevation of event; Environmental variables; Event label; Fluorescence; Latitude of event; Longitude of event; MERS-BLUEISLANDS_STD10; MERS-BLUEISLANDS_STD14; MERS-BLUEISLANDS_STD15; MERS-BLUEISLANDS_STD16; MERS-BLUEISLANDS_STD17; MERS-BLUEISLANDS_STD18; MERS-BLUEISLANDS_STD2; MERS-BLUEISLANDS_STD4; MERS-BLUEISLANDS_STD6; MERS-BLUEISLANDS_STD7; MERS-BLUEISLANDS_STD8; NIS; Nitrate and Nitrite; Nitrite; Observation; pH; Phosphate; Salinity; Silicon dioxide; Spectrophotometer, Hach Lange GmbH, DR3900; Spectrophotometer Shimadzu UV-2600; Station label; Temperature, water; Turbidity (Nephelometric turbidity unit); VINDTA 3D system for Dissolved Inorganic Carbon measurement; Western Mediterranean Sea
    Type: Dataset
    Format: text/tab-separated-values, 1078 data points
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  • 46
    Publication Date: 2024-06-27
    Description: For petrographic analyses, point counting was used to quantitatively estimate the modal composition of sand and sandstones by totalling the occurrence of various mineral grains within a representative sample. The Gazzi-Dickinson methos was chosen for this study. A total of 80 cutting and core samples from IODP Expedition 348 were used for this study, covering a total depth transect from 1,140.5-3,000.5 mbsf of the Nankai Accretionary Prism (SW Japan) at sites C0002N and C0002P. All 80 samples were prepared for thin sections for quantitative modal compositional analysis at The Open University (United Kingdom). Samples were sieved to remove clay and silt from the unconsolidated material. Approximately 10 grams of sands were then separated from the sieved samples and mixed with epoxy. The epoxy grain mounts were sliced to thin section thickness, cemented to glass slides with epoxy resin, and then thin sections were completed in the usual method. Point-count analyses involved 400 points per sample. Each grain was assigned to a classification category (e.g., monocrystalline quartz, polycrystalline quartz, feldspar, volcanic lithic, sedimentary lithics, etc).
    Keywords: 348-C0002N; 348-C0002P; Chikyu; Clay minerals; Clinopyroxene; Counted; deep-marine sediments; DEPTH, sediment/rock; DRILL; Drilling/drill rig; Event label; Exp348; Feldspar; Fossils; Latitude of event; Lithic grains, sedimentary; Lithic grains, volcanic; Longitude of event; Mica, grains; Minerals, accessory; Nankai Trough; Nannofossils; NanTroSEIZE Plate Boundary Drilling 3; Organic matter; petrography analysis; Quartz, monocrystalline; Quartz, polycrystalline; Sample code/label; Sample ID; zircon age dating
    Type: Dataset
    Format: text/tab-separated-values, 1200 data points
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  • 47
    Publication Date: 2024-06-27
    Keywords: DATE/TIME; DEPTH, water; ELEVATION; Es; Event label; hyperspectral; Hyperspectral free falling profiler, Sea-Bird, HyperPro II [SN: 099 / SN: 262 / SN: 227 / SN: 263]; ICBM; Identification; Institut für Chemie und Biologie des Meeres; Integrated value (400 - 700 nm); LATITUDE; Light/Optics; LIOP; LONGITUDE; OceanLight; Pacific Ocean; radiance; Radiation, photosynthetically active; SO267/2; SO267/2_10-1; SO267/2_11-1; SO267/2_12-1; SO267/2_13-1; SO267/2_14-1; SO267/2_15-1; SO267/2_16-1; SO267/2_2-1; SO267/2_3-1; SO267/2_4-1; SO267/2_5-1; SO267/2_6-1; SO267/2_7-1; SO267/2_8-1; SO267/2_9-1; Sonne_2; Spectral radiance, upward at 400 nm; Spectral radiance, upward at 401 nm; Spectral radiance, upward at 402 nm; Spectral radiance, upward at 403 nm; Spectral radiance, upward at 404 nm; Spectral radiance, upward at 405 nm; Spectral radiance, upward at 406 nm; Spectral radiance, upward at 407 nm; Spectral radiance, upward at 408 nm; Spectral radiance, upward at 409 nm; Spectral radiance, upward at 410 nm; Spectral radiance, upward at 411 nm; Spectral radiance, upward at 412 nm; Spectral radiance, upward at 413 nm; Spectral radiance, upward at 414 nm; Spectral radiance, upward at 415 nm; Spectral radiance, upward at 416 nm; Spectral radiance, upward at 417 nm; Spectral radiance, upward at 418 nm; Spectral radiance, upward at 419 nm; Spectral radiance, upward at 420 nm; Spectral radiance, upward at 421 nm; Spectral radiance, upward at 422 nm; Spectral radiance, upward at 423 nm; Spectral radiance, upward at 424 nm; Spectral radiance, upward at 425 nm; Spectral radiance, upward at 426 nm; Spectral radiance, upward at 427 nm; Spectral radiance, upward at 428 nm; Spectral radiance, upward at 429 nm; Spectral radiance, upward at 430 nm; Spectral radiance, upward at 431 nm; Spectral radiance, upward at 432 nm; Spectral radiance, upward at 433 nm; Spectral radiance, upward at 434 nm; Spectral radiance, upward at 435 nm; Spectral radiance, upward at 436 nm; Spectral radiance, upward at 437 nm; Spectral radiance, upward at 438 nm; Spectral radiance, upward at 439 nm; Spectral radiance, upward at 440 nm; Spectral radiance, upward at 441 nm; Spectral radiance, upward at 442 nm; Spectral radiance, upward at 443 nm; Spectral radiance, upward at 444 nm; Spectral radiance, upward at 445 nm; Spectral radiance, upward at 446 nm; Spectral radiance, upward at 447 nm; Spectral radiance, upward at 448 nm; Spectral radiance, upward at 449 nm; Spectral radiance, upward at 450 nm; Spectral radiance, upward at 451 nm; Spectral radiance, upward at 452 nm; Spectral radiance, upward at 453 nm; Spectral radiance, upward at 454 nm; Spectral radiance, upward at 455 nm; Spectral radiance, upward at 456 nm; Spectral radiance, upward at 457 nm; Spectral radiance, upward at 458 nm; Spectral radiance, upward at 459 nm; Spectral radiance, upward at 460 nm; Spectral radiance, upward at 461 nm; Spectral radiance, upward at 462 nm; Spectral radiance, upward at 463 nm; Spectral radiance, upward at 464 nm; Spectral radiance, upward at 465 nm; Spectral radiance, upward at 466 nm; Spectral radiance, upward at 467 nm; Spectral radiance, upward at 468 nm; Spectral radiance, upward at 469 nm; Spectral radiance, upward at 470 nm; Spectral radiance, upward at 471 nm; Spectral radiance, upward at 472 nm; Spectral radiance, upward at 473 nm; Spectral radiance, upward at 474 nm; Spectral radiance, upward at 475 nm; Spectral radiance, upward at 476 nm; Spectral radiance, upward at 477 nm; Spectral radiance, upward at 478 nm; Spectral radiance, upward at 479 nm; Spectral radiance, upward at 480 nm; Spectral radiance, upward at 481 nm; Spectral radiance, upward at 482 nm; Spectral radiance, upward at 483 nm; Spectral radiance, upward at 484 nm; Spectral radiance, upward at 485 nm; Spectral radiance, upward at 486 nm; Spectral radiance, upward at 487 nm; Spectral radiance, upward at 488 nm; Spectral radiance, upward at 489 nm; Spectral radiance, upward at 490 nm; Spectral radiance, upward at 491 nm; Spectral radiance, upward at 492 nm; Spectral radiance, upward at 493 nm; Spectral radiance, upward at 494 nm; Spectral radiance, upward at 495 nm; Spectral radiance, upward at 496 nm; Spectral radiance, upward at 497 nm; Spectral radiance, upward at 498 nm; Spectral radiance, upward at 499 nm; Spectral radiance, upward at 500 nm; Spectral radiance, upward at 501 nm; Spectral radiance, upward at 502 nm; Spectral radiance, upward at 503 nm; Spectral radiance, upward at 504 nm; Spectral radiance, upward at 505 nm; Spectral radiance, upward at 506 nm; Spectral radiance, upward at 507 nm; Spectral radiance, upward at 508 nm; Spectral radiance, upward at 509 nm; Spectral radiance, upward at 510 nm; Spectral radiance, upward at 511 nm; Spectral radiance, upward at 512 nm; Spectral radiance, upward at 513 nm; Spectral radiance, upward at 514 nm; Spectral radiance, upward at 515 nm; Spectral radiance, upward at 516 nm; Spectral radiance, upward at 517 nm; Spectral radiance, upward at 518 nm; Spectral radiance, upward at 519 nm; Spectral radiance, upward at 520 nm; Spectral radiance, upward at 521 nm; Spectral radiance, upward at 522 nm; Spectral radiance, upward at 523 nm; Spectral radiance, upward at 524 nm; Spectral radiance, upward at 525 nm; Spectral radiance, upward at 526 nm; Spectral radiance, upward at 527 nm; Spectral radiance, upward at 528 nm; Spectral radiance, upward at 529 nm; Spectral radiance, upward at 530 nm; Spectral radiance, upward at 531 nm; Spectral radiance, upward at 532 nm; Spectral radiance, upward at 533 nm; Spectral radiance, upward at 534 nm; Spectral radiance, upward at 535 nm; Spectral radiance, upward at 536 nm; Spectral radiance, upward at 537 nm; Spectral radiance, upward at 538 nm; Spectral radiance, upward at 539 nm; Spectral radiance, upward at 540 nm; Spectral radiance, upward at 541 nm; Spectral radiance, upward at 542 nm; Spectral radiance, upward at 543 nm; Spectral radiance, upward at 544 nm; Spectral radiance, upward at 545 nm; Spectral radiance, upward at 546 nm; Spectral radiance, upward at 547 nm; Spectral radiance, upward at 548 nm; Spectral radiance, upward at 549 nm; Spectral radiance, upward at 550 nm; Spectral radiance, upward at 551 nm; Spectral radiance, upward at 552 nm; Spectral radiance, upward at 553 nm; Spectral radiance, upward at 554 nm; Spectral radiance, upward at 555 nm; Spectral radiance, upward at 556 nm; Spectral radiance, upward at 557 nm; Spectral radiance, upward at 558 nm; Spectral radiance, upward at 559 nm; Spectral radiance, upward at 560 nm; Spectral radiance, upward at 561 nm; Spectral radiance, upward at 562 nm; Spectral radiance, upward at 563 nm; Spectral radiance, upward at 564 nm; Spectral radiance, upward at 565 nm; Spectral radiance, upward at 566 nm; Spectral radiance, upward at 567 nm; Spectral radiance, upward at 568 nm; Spectral radiance, upward at 569 nm; Spectral radiance, upward at 570 nm; Spectral radiance, upward at 571 nm; Spectral radiance, upward at 572 nm; Spectral radiance, upward at 573 nm; Spectral radiance, upward at 574 nm; Spectral radiance, upward at 575 nm; Spectral radiance, upward at 576 nm; Spectral radiance, upward at 577 nm; Spectral radiance, upward at 578 nm; Spectral radiance, upward at 579 nm; Spectral radiance, upward at 580 nm; Spectral radiance, upward at 581 nm; Spectral radiance, upward at 582 nm; Spectral radiance, upward at 583 nm; Spectral radiance, upward at 584 nm; Spectral radiance, upward at 585 nm; Spectral radiance, upward at 586 nm; Spectral radiance, upward at 587 nm; Spectral radiance, upward at 588 nm; Spectral radiance, upward at 589 nm; Spectral radiance, upward at 590 nm; Spectral radiance, upward at 591 nm; Spectral radiance, upward at 592 nm; Spectral radiance, upward at 593 nm; Spectral radiance, upward at 594 nm; Spectral radiance, upward at 595 nm; Spectral radiance, upward at 596 nm; Spectral radiance, upward at 597 nm; Spectral radiance, upward at 598 nm; Spectral radiance, upward at 599
    Type: Dataset
    Format: text/tab-separated-values, 598020 data points
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  • 48
    Publication Date: 2024-06-27
    Description: The dataset contains carbon (C) and nitrogen (N) stable isotope compositions analysed in the muscle tissue of 15 meso- to bathypelagic species sampled in the twilight zone (deep pelagic area) of the Bay of Biscay, North-East Atlantic. The species included 4 crustacean species (Pasiphaea sivado, Sergia robusta, Systellaspis debilis, Ephyrina figueirai) and 11 fish species (Xenodermichthys copei, Searsia koefoedi, Myctophum punctatum, Notoscopelus kroeyeri, Lampanyctus crocodilus, Argyropelecus olfersii, Arctozenus risso, Stomias boa, Serrivomer beanii, Chauliodus sloani, Aphanopus carbo). Specimens were collected during a single fishery in a canyon of the slope of the Bay of Biscay in October 2017, during the EVHOE fishery survey (“Evaluation Halieutique de l'Ouest de l'Europe”; https://doi.org/10.17600/17002300) conducted each autumn by the “Institut Français de Recherche pour l'Exploitation de la Mer” (Ifremer) on R/V Thalassa. A total of 266 individuals belonging to the 15 species were collected at night using a 25 m vertical opening pelagic trawl in the deep scattering layer (ca. 800 m depth in the water column; 1330 m bottom depth). All organisms were collected during one haul of 60 min, at a speed of approximately 4 knots (geographical coordinates at the beginning of the turn/end of the fishing: 45.103°N, -3.543° W). For small fish and crustaceans, organisms belonging to the same species were pooled by individuals of similar sizes. The size of each individual (total length for fish, cephalothorax length for crustaceans, in mm) as well as the total fresh weight of individuals or pools (to the nearest 0.5 g wet mass) were determined on board, and the individuals were rinsed with ultrapure water before storage. Mean individual sizes and fresh wet weights are here reported for each sample constituted by a pool of individuals. Samples (individuals or pools of individuals, N=39 in total) were finally stored at -20°C until further treatment in the laboratory. In clean and contamination-free conditions of the laboratory, whole organisms were briefly thawed and a small piece of white muscle (typically 〈3% of individual total weight) was collected from each individual. The muscle tissue is indeed generally recommended in the literature for food web studies inferred from stable isotope analyses (Pinnegar and Polunin, 1999). After collection, muscle subsamples were frozen again at -20°C, freeze-dried and homogenised manually into a fine powder. An aliquot of this powder (0.40 ± 0.05 mg dry mass) was weighed in tin cups. Analyses were finally performed with an isotope ratio mass spectrometer (Delta V Advantage with a Conflo IV interface, Thermo Scientific) coupled to an elemental analyser (Flash EA 2000, Thermo Scientific). The results are presented in the usual δ notation relative to the deviation from international standards (Vienna Pee Dee Belemnite for δ13C values, and atmospheric nitrogen for δ15N values), in parts per thousand (‰). Based on replicate measurements of USGS-61 and USGS-62 used as laboratory internal standards, experimental analytical precision was 〈0.10‰ and 〈0.15‰ for δ13C and δ15N, respectively. With the elemental analyser, bulk C:N ratios in muscle could be also determined as a proxy of the lipid content or body condition of organisms (Hoffman et al., 2015; Post et al., 2007). Samples were thus untreated (not lipid-extracted) before analyses in order to have access to bulk (untreated) C:N ratios. However, lipids are highly depleted in 13C relative to other tissue components (DeNiro and Epstein, 1977) and significant variations in lipids (especially between species) can affect δ13C signatures even if trophic sources are similar. Before using data as trophic markers, we thus recommend to mathematically correct δ13C values for the potential effect of lipids according to the formula proposed by Post et al. (2007) using bulk C:N ratios (δ13C (corrected) = δ13C (bulk) – 3.32 + 0.99 x C:N ratio). Alternatively, δ15N values do not need to be corrected.
    Keywords: bathypelagic; Bay of Biscay; Calculated; Carbon, total; Carbon/Nitrogen ratio; Class; crustacea; Delta V Advantage IRMS coupled to a Flash 2000 EA (EA-IRMS) by a 199 Conflo IV (Thermo Fisher Scientific Inc.); DEPTH, water; Device type; EVHOE-2017; EVHOE-2017_CHP21-V0494; Family; Field observation; fish; GOVT; Grande Ouverture Verticale trawl; Identification; isotope ratios; Length; mesopelagic; Nitrogen, total; Number of individuals; Order; Phylum; Sample ID; Sample type; Size; Species; Station label; SUMMER; Sustainable Management of Mesopelagic Resources; temperate marine system; Thalassa; Tissue Descriptor; trophic markers; Uniform resource locator/link to reference; Wet mass; δ13C; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 841 data points
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  • 49
    Publication Date: 2024-06-27
    Description: The dataset contains energy density values and concentrations in 19 elements analysed in whole bodies of 15 meso- to bathypelagic species sampled in the twilight zone (deep pelagic area) of the Bay of Biscay, North-East Atlantic. The species included 4 crustacean species (Pasiphaea sivado, Sergia robusta, Systellaspis debilis, Ephyrina figueirai) and 11 fish species (Xenodermichthys copei, Searsia koefoedi, Myctophum punctatum, Notoscopelus kroeyeri, Lampanyctus crocodilus, Argyropelecus olfersii, Arctozenus risso, Stomias boa, Serrivomer beanii, Chauliodus sloani, Aphanopus carbo). The elements included 6 major constitutive elements (macro-minerals) and 13 trace elements among which 9 essential (micro-nutrients) and 4 non-essential elements (undesirables, with no know biological function). Specimens were collected during a single fishery in a canyon of the slope of the Bay of Biscay in October 2017, during the EVHOE fishery survey (“Evaluation Halieutique de l'Ouest de l'Europe”; https://doi.org/10.17600/17002300) conducted each autumn by the “Institut Français de Recherche pour l'Exploitation de la Mer” (Ifremer) on R/V Thalassa. A total of 266 individuals belonging to the 15 species were collected at night using a 25 m vertical opening pelagic trawl in the deep scattering layer (ca. 800 m depth in the water column; 1330 m bottom depth). All organisms were collected during one haul of 60 min, at a speed of approximately 4 knots (geographical coordinates at the beginning of the turn/end of the fishing: 45.103°N, -3.543° W). For small fish and crustaceans, organisms belonging to the same species were pooled by individuals of similar sizes. The size of each individual (total length for fish, cephalothorax length for crustaceans, in mm) as well as the total fresh weight of individuals or pools (to the nearest 0.5 g wet mass) were determined on board, and the individuals were rinsed with ultrapure water before storage. Mean individual sizes and fresh wet weights are here reported for each sample constituted by a pool of individuals. Samples (individuals or pools of individuals, N=39 in total) were finally stored at -20°C until further treatment in the laboratory. In clean and contamination-free conditions of the laboratory, whole organisms were briefly thawed and the digestive tracts of fish (i.e. stomachs and intestines) were emptied and put back in individuals. Whole individuals were then cut into small pieces and a first fresh grinding of individuals (or pools of individuals for small fish and crustaceans) was carried out using an Ultra Turrax® type grinder with stainless steel arms. Samples were finally refrozen at -20° C in acid pre-cleaned and calcined (450°C) glass jars, lyophilized during 72 h, and ground again into a fine and homogeneous powder using a stainless-steel knife mill. If necessary, this was completed by ball milling (MM400 Retsch®) using bowls and marbles with zirconium oxide coating. Each material was conscientiously rinsed with a succession of ultrapure water/ethanol/ultrapure water between each sample. Energy density was estimated on dried homogenised samples following Spitz et al. (2010), using a Parr® 1266 semi-micro-oxygen bomb calorimeter and an adiabatic bomb-calorimetry in which gross energy is determined by measuring heat of combustion. Values are presented in kJ/g dry weight and are means of duplicate determination (deviation between two assays 〈2%). Total concentrations of calcium (Ca), potassium (K), magnesium (Mg), sodium (Na), phosphorus (P) and strontium (Sr), as major constitutive chemical elements (macro-minerals) in biological organisms, were determined by inductively coupled plasma atomic emission spectrometry (ICP-OES, Vista-Pro Varian) according to an in-laboratory approved method. Briefly with this method, aliquots of samples (~250 mg dry mass of homogenised powder) were digested using a 6:2 (v/v) mixture with nitric acid (HNO3 69%, Trace Metal Grade®, FisherScientific) and hydrochloric acid (HCl, 34%, Trace Metal Grade®, FisherScientific). Acidic digestion of the samples was performed overnight at room temperature and then in a microwave oven (START-D, Milestone). The digests were finally diluted to 50 mL with ultrapure water before analyses with ICP-OES. Total concentrations of 9 essential – arsenic (As), cobalt (Co), copper (Cu), iron (Fe), manganese (Mn), molybdenum (Mo), selenium (Se), vanadium (V), zinc (Zn) – and 4 non-essential – silver (Ag), cadmium (Cd), lead (Pb) – trace elements were determined by inductively coupled plasma mass spectrometry (ICP-MS, ICAP-Qc ThermoFisher) according to an in-laboratory approved method. Briefly with this method, aliquots of samples (~200 mg of homogenised powder) were placed in Teflon bombs and mineralized with a mixture of ultrapure HNO3 acid (PlasmaPure Plus grade, SCP Science®) and ultrapure water using a microwave (ETHOS-UP, Milestone). The digests were then diluted to 50 ml with ultrapure water before analyses with ICP-MS. Finally, total mercury (Hg) concentrations (a non-essential-element) were determined by atomic absorption spectrophotometry using an Advanced Mercury Analyser (ALTEC AMA-254, Altec Ltd), on aliquots of homogenised powder (50 ± 5 mg), according to the standard operating procedure described in the US-EPA method N°7473 (U.S. Environmental Protection Agency, 1998). The quality assurance of all metal analyses relied on blank and internal standard controls, and on the accuracy and reproducibility of data relative to the certified reference materials (CRMs) used in each analytical run. Blank values were systematically below the detection limits and CRM values concurred with certified concentrations. All elemental concentrations given on a dry weight basis can be converted on a wet weight basis according to the percentage of moisture measured for each sample.
    Keywords: Arsenic; Atomic absorption spectrophotometry (Altec, AMA 254); bathypelagic; Bay of Biscay; Cadmium; Calcium; Calorimetry (Parr 6725 semimicro calorimeter and Parr 6772 precision thermometer); Class; Cobalt; Copper; crustacea; DEPTH, water; Device type; energy density; Energy density, per dry mass; EVHOE-2017; EVHOE-2017_CHP21-V0494; Family; Field observation; fish; GOVT; Grande Ouverture Verticale trawl; ICP-OES, Varian Vista Pro; Identification; inorganic elements; Iron; Lead; Length; macro-minerals; Magnesium; Manganese; Mercury; mesopelagic; Micro-nutrients; Moisture; Molybdenum; Number of individuals; Order; Phosphorus; Phylum; Potassium; S-(Q)-ICP-MS measurements, Thermo Scientific iCAP-Qc ICP-MS; Sample ID; Sample type; Selenium; Silver; Size; Sodium; Species; Station label; Strontium; SUMMER; Sustainable Management of Mesopelagic Resources; temperate marine system; Thalassa; Tissue Descriptor; trace metals; Uniform resource locator/link to reference; Vanadium; Wet mass; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 1465 data points
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  • 50
    Publication Date: 2024-06-27
    Keywords: CT; DATE/TIME; Heading; Hyperspectral radiance meter, TriOS, RAMSES-ARC; hypespectral; ICBM; Institut für Chemie und Biologie des Meeres; LATITUDE; LONGITUDE; OceanLight; Pacific Ocean; Radiance, upward at 320 nm; Radiance, upward at 321 nm; Radiance, upward at 322 nm; Radiance, upward at 323 nm; Radiance, upward at 324 nm; Radiance, upward at 325 nm; Radiance, upward at 326 nm; Radiance, upward at 327 nm; Radiance, upward at 328 nm; Radiance, upward at 329 nm; Radiance, upward at 330 nm; Radiance, upward at 331 nm; Radiance, upward at 332 nm; Radiance, upward at 333 nm; Radiance, upward at 334 nm; Radiance, upward at 335 nm; Radiance, upward at 336 nm; Radiance, upward at 337 nm; Radiance, upward at 338 nm; Radiance, upward at 339 nm; Radiance, upward at 340 nm; Radiance, upward at 341 nm; Radiance, upward at 342 nm; Radiance, upward at 343 nm; Radiance, upward at 344 nm; Radiance, upward at 345 nm; Radiance, upward at 346 nm; Radiance, upward at 347 nm; Radiance, upward at 348 nm; Radiance, upward at 349 nm; Radiance, upward at 350 nm; Radiance, upward at 351 nm; Radiance, upward at 352 nm; Radiance, upward at 353 nm; Radiance, upward at 354 nm; Radiance, upward at 355 nm; Radiance, upward at 356 nm; Radiance, upward at 357 nm; Radiance, upward at 358 nm; Radiance, upward at 359 nm; Radiance, upward at 360 nm; Radiance, upward at 361 nm; Radiance, upward at 362 nm; Radiance, upward at 363 nm; Radiance, upward at 364 nm; Radiance, upward at 365 nm; Radiance, upward at 366 nm; Radiance, upward at 367 nm; Radiance, upward at 368 nm; Radiance, upward at 369 nm; Radiance, upward at 370 nm; Radiance, upward at 371 nm; Radiance, upward at 372 nm; Radiance, upward at 373 nm; Radiance, upward at 374 nm; Radiance, upward at 375 nm; Radiance, upward at 376 nm; Radiance, upward at 377 nm; Radiance, upward at 378 nm; Radiance, upward at 379 nm; Radiance, upward at 380 nm; Radiance, upward at 381 nm; Radiance, upward at 382 nm; Radiance, upward at 383 nm; Radiance, upward at 384 nm; Radiance, upward at 385 nm; Radiance, upward at 386 nm; Radiance, upward at 387 nm; Radiance, upward at 388 nm; Radiance, upward at 389 nm; Radiance, upward at 390 nm; Radiance, upward at 391 nm; Radiance, upward at 392 nm; Radiance, upward at 393 nm; Radiance, upward at 394 nm; Radiance, upward at 395 nm; Radiance, upward at 396 nm; Radiance, upward at 397 nm; Radiance, upward at 398 nm; Radiance, upward at 399 nm; Radiance, upward at 400 nm; Radiance, upward at 401 nm; Radiance, upward at 402 nm; Radiance, upward at 403 nm; Radiance, upward at 404 nm; Radiance, upward at 405 nm; Radiance, upward at 406 nm; Radiance, upward at 407 nm; Radiance, upward at 408 nm; Radiance, upward at 409 nm; Radiance, upward at 410 nm; Radiance, upward at 411 nm; Radiance, upward at 412 nm; Radiance, upward at 413 nm; Radiance, upward at 414 nm; Radiance, upward at 415 nm; Radiance, upward at 416 nm; Radiance, upward at 417 nm; Radiance, upward at 418 nm; Radiance, upward at 419 nm; Radiance, upward at 420 nm; Radiance, upward at 421 nm; Radiance, upward at 422 nm; Radiance, upward at 423 nm; Radiance, upward at 424 nm; Radiance, upward at 425 nm; Radiance, upward at 426 nm; Radiance, upward at 427 nm; Radiance, upward at 428 nm; Radiance, upward at 429 nm; Radiance, upward at 430 nm; Radiance, upward at 431 nm; Radiance, upward at 432 nm; Radiance, upward at 433 nm; Radiance, upward at 434 nm; Radiance, upward at 435 nm; Radiance, upward at 436 nm; Radiance, upward at 437 nm; Radiance, upward at 438 nm; Radiance, upward at 439 nm; Radiance, upward at 440 nm; Radiance, upward at 441 nm; Radiance, upward at 442 nm; Radiance, upward at 443 nm; Radiance, upward at 444 nm; Radiance, upward at 445 nm; Radiance, upward at 446 nm; Radiance, upward at 447 nm; Radiance, upward at 448 nm; Radiance, upward at 449 nm; Radiance, upward at 450 nm; Radiance, upward at 451 nm; Radiance, upward at 452 nm; Radiance, upward at 453 nm; Radiance, upward at 454 nm; Radiance, upward at 455 nm; Radiance, upward at 456 nm; Radiance, upward at 457 nm; Radiance, upward at 458 nm; Radiance, upward at 459 nm; Radiance, upward at 460 nm; Radiance, upward at 461 nm; Radiance, upward at 462 nm; Radiance, upward at 463 nm; Radiance, upward at 464 nm; Radiance, upward at 465 nm; Radiance, upward at 466 nm; Radiance, upward at 467 nm; Radiance, upward at 468 nm; Radiance, upward at 469 nm; Radiance, upward at 470 nm; Radiance, upward at 471 nm; Radiance, upward at 472 nm; Radiance, upward at 473 nm; Radiance, upward at 474 nm; Radiance, upward at 475 nm; Radiance, upward at 476 nm; Radiance, upward at 477 nm; Radiance, upward at 478 nm; Radiance, upward at 479 nm; Radiance, upward at 480 nm; Radiance, upward at 481 nm; Radiance, upward at 482 nm; Radiance, upward at 483 nm; Radiance, upward at 484 nm; Radiance, upward at 485 nm; Radiance, upward at 486 nm; Radiance, upward at 487 nm; Radiance, upward at 488 nm; Radiance, upward at 489 nm; Radiance, upward at 490 nm; Radiance, upward at 491 nm; Radiance, upward at 492 nm; Radiance, upward at 493 nm; Radiance, upward at 494 nm; Radiance, upward at 495 nm; Radiance, upward at 496 nm; Radiance, upward at 497 nm; Radiance, upward at 498 nm; Radiance, upward at 499 nm; Radiance, upward at 500 nm; Radiance, upward at 501 nm; Radiance, upward at 502 nm; Radiance, upward at 503 nm; Radiance, upward at 504 nm; Radiance, upward at 505 nm; Radiance, upward at 506 nm; Radiance, upward at 507 nm; Radiance, upward at 508 nm; Radiance, upward at 509 nm; Radiance, upward at 510 nm; Radiance, upward at 511 nm; Radiance, upward at 512 nm; Radiance, upward at 513 nm; Radiance, upward at 514 nm; Radiance, upward at 515 nm; Radiance, upward at 516 nm; Radiance, upward at 517 nm; Radiance, upward at 518 nm; Radiance, upward at 519 nm; Radiance, upward at 520 nm; Radiance, upward at 521 nm; Radiance, upward at 522 nm; Radiance, upward at 523 nm; Radiance, upward at 524 nm; Radiance, upward at 525 nm; Radiance, upward at 526 nm; Radiance, upward at 527 nm; Radiance, upward at 528 nm; Radiance, upward at 529 nm; Radiance, upward at 530 nm; Radiance, upward at 531 nm; Radiance, upward at 532 nm; Radiance, upward at 533 nm; Radiance, upward at 534 nm; Radiance, upward at 535 nm; Radiance, upward at 536 nm; Radiance, upward at 537 nm; Radiance, upward at 538 nm; Radiance, upward at 539 nm; Radiance, upward at 540 nm; Radiance, upward at 541 nm; Radiance, upward at 542 nm; Radiance, upward at 543 nm; Radiance, upward at 544 nm; Radiance, upward at 545 nm; Radiance, upward at 546 nm; Radiance, upward at 547 nm; Radiance, upward at 548 nm; Radiance, upward at 549 nm; Radiance, upward at 550 nm; Radiance, upward at 551 nm; Radiance, upward at 552 nm; Radiance, upward at 553 nm; Radiance, upward at 554 nm; Radiance, upward at 555 nm; Radiance, upward at 556 nm; Radiance, upward at 557 nm; Radiance, upward at 558 nm; Radiance, upward at 559 nm; Radiance, upward at 560 nm; Radiance, upward at 561 nm; Radiance, upward at 562 nm; Radiance, upward at 563 nm; Radiance, upward at 564 nm; Radiance, upward at 565 nm; Radiance, upward at 566 nm; Radiance, upward at 567 nm; Radiance, upward at 568 nm; Radiance, upward at 569 nm; Radiance, upward at 570 nm; Radiance, upward at 571 nm; Radiance, upward at 572 nm; Radiance, upward at 573 nm; Radiance, upward at 574 nm; Radiance, upward at 575 nm; Radiance, upward at 576 nm; Radiance, upward at 577 nm; Radiance, upward at 578 nm; Radiance, upward at 579 nm; Radiance, upward at 580 nm; Radiance, upward at 581 nm; Radiance, upward at 582 nm; Radiance, upward at 583 nm; Radiance, upward at 584 nm; Radiance, upward at 585 nm; Radiance, upward at 586 nm; Radiance, upward at 587 nm; Radiance, upward at 588 nm; Radiance, upward at 589 nm; Radiance, upward at 590 nm; Radiance, upward at 591 nm; Radiance, upward at 592 nm; Radiance, upward at 593 nm; Radiance, upward at 594 nm; Radiance, upward at 595 nm; Radiance, upward at 596 nm; Radiance, upward at 597 nm; Radiance, upward at 598 nm;
    Type: Dataset
    Format: text/tab-separated-values, 860152 data points
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  • 51
    Publication Date: 2024-06-27
    Description: Organisms accumulate major and trace elements (including metals) directly from the external environment and/or indirectly through diet. As such, their elemental composition can help to infer dietary preferences, solve trophic links and/or inform quantitative dietary analysis primarily based on carbon and nitrogen stable isotopes or on fatty acids (Lahaye et al. 2005, Ramos and González-Solís 2012, Soto et al. 2016, Majdi et al. 2018). This dataset reports the total concentrations of 30 major and trace elements analysed in whole bodies or in the muscle tissue of 82 unique species or genera characteristic of meso- to bathypelagic waters (referred as “mesopelagic”) or living on the continental shelf (referred as “other”). The species encompass jellyfish, crustaceans, cephalopods, fish, and were collected in North Atlantic and Mediterranean areas between 1968 and 2018. When available, the sampling method/gear as well as the sampling depth are specified. For the element mercury (Hg), the concentration of organic forms (referred as methyl-Hg) is also given when available, as well the percentage of these organic forms (% methyl-Hg) relative to total Hg. A column specifies whether concentrations are expressed on a dry weight or wet weight basis (weight of the animal tissue after being dried or containing water, respectively). All element concentrations given on a wet weight basis can be converted on a dry weight basis (and vice-versa if necessary) according to the percentages of moisture given for each sample analysed (when available). Data were compiled from 27 published studies/papers for which DOI are indicated, for further details and information on the samples analysed and/or the analytical techniques used.
    Keywords: Aegean_Sea_comp; Algerian_Basin_comp; Aluminium; Aluminium, standard deviation; Antimony; Antimony, standard deviation; Arsenic; Arsenic, standard deviation; Azores_comp; Barium; Barium, standard error; Bay_of_Biscay_comp; Bay_of_Fundy_comp; Boron; Boron, standard deviation; Cadmium; Cadmium, standard deviation; Caesium; Calcium; Calcium, standard deviation; Canary_Islands_comp; Cephalopods; Chromium; Chromium, standard deviation; Class; Cobalt; Cobalt, standard deviation; Comment; Copper; Copper, standard deviation; Crustacea; DEPTH, water; Eastern_Basin_comp; El_Hierro_Canary_Islands_comp; Event label; Family; fish; Fluoride, standard deviation; Fluorine; Gear; Gibraltar_comp; Greenland_Sea_comp; Gulf_of_St_Lawrence_comp; Iberian_Deep_Sea_Plain_comp; inorganic elements; Iodine; Iodine, standard deviation; Ionian_Sea_comp; Iron; Iron, standard error; La_Palma_Canary_Islands_comp; LATITUDE; Lead; Lead, standard deviation; Levantine_Sea_comp; Ligurian_Sea_comp; Lithium; Lithium, standard deviation; Location; LONGITUDE; macro-minerals; Magnesium; Magnesium, standard deviation; Manganese; Manganese, standard deviation; Mercury; Mercury, standard deviation; mesopelagic food web; Methylmercury; Methylmercury, standard deviation; Micro-nutrients; Moisture; Moisture, standard deviation; Molybdenum; Molybdenum, standard deviation; Month; Nickel; Nickel, standard deviation; Northeast_Atlantic_comp; Northern_North_Sea_Atlantic_waters_comp; Norwegian_Sea_North_comp; Number of individuals; NW_Africa_comp; NW_Atlantic_comp; Ocean and sea region; Order; Organisms; Persistent Identifier; Phosphorus; Phosphorus, standard deviation; Phylum; Potassium; Potassium, standard deviation; Record number; Reference/source; Reference of data; Replicate; Sample type; Sargasso_Sea_comp; Selenium; Selenium, standard deviation; Silver; Silver, standard deviation; Size; Sodium; Sodium, standard deviation; Strait_of_Gibraltar_comp; Strontium; Strontium, standard deviation; SUMMER; Sustainable Management of Mesopelagic Resources; Taxon/taxa; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Tenerife_Canary_Islands_comp; Tissue Descriptor; trace metals; trophic markers; Tyrrhenian_Sea_comp; Vanadium; Vanadium, standard deviation; Western_Basin_comp; Year of observation; Zinc; Zinc, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 8632 data points
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  • 52
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_22-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 38741 data points
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  • 53
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_4-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 35296 data points
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  • 54
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_5-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 31442 data points
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  • 55
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_2-2; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 13448 data points
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  • 56
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_9-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 37187 data points
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  • 57
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_22-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 34310 data points
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  • 58
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_22-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 36057 data points
    Location Call Number Expected Availability
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  • 59
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_4-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 36367 data points
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  • 60
    Publication Date: 2024-06-27
    Description: The dataset contains carbon (C) and nitrogen (N) stable isotope compositions analysed in the muscle tissue and energy density values and concentrations of 19 elements analysed in whole bodies of 15 meso- to bathypelagic species sampled in the twilight zone (deep pelagic area) of the Bay of Biscay, North-East Atlantic. The species included 4 crustacean species (Pasiphaea sivado, Sergia robusta, Systellaspis debilis, Ephyrina figueirai) and 11 fish species (Xenodermichthys copei, Searsia koefoedi, Myctophum punctatum, Notoscopelus kroeyeri, Lampanyctus crocodilus, Argyropelecus olfersii, Arctozenus risso, Stomias boa, Serrivomer beanii, Chauliodus sloani, Aphanopus carbo). The elements included 6 major constitutive elements (macro-minerals) and 13 trace elements among which 9 essential (micro-nutrients) and 4 non-essential elements (undesirables, with no know biological function). Specimens were collected during a single fishery in a canyon of the slope of the Bay of Biscay in October 2017, during the EVHOE fishery survey (“Evaluation Halieutique de l'Ouest de l'Europe”; https://doi.org/10.17600/17002300) conducted each autumn by the “Institut Français de Recherche pour l'Exploitation de la Mer” (Ifremer) on R/V Thalassa. A total of 266 individuals belonging to the 15 species were collected at night using a 25 m vertical opening pelagic trawl in the deep scattering layer (ca. 800 m depth in the water column; 1330 m bottom depth). All organisms were collected during one haul of 60 min, at a speed of approximately 4 knots (geographical coordinates at the beginning of the turn/end of the fishing: 45.103°N, -3.543° W).
    Keywords: bathypelagic; crustacea; energy density; Field observation; fish; inorganic elements; isotope ratios; macro-minerals; mesopelagic; Micro-nutrients; SUMMER; Sustainable Management of Mesopelagic Resources; temperate marine system; trace metals; trophic markers
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 61
    Publication Date: 2024-06-27
    Description: Mesopelagic organisms play a critical role in marine ecosystems, channelling energy and organic matter across food webs and serving as the primary prey for many open-ocean predators. Nevertheless, trophic pathways involving mesopelagic organisms are poorly understood and their contribution to food web structure remains difficult to assess (St. John et al., 2016). Existing data to assess mesopelagic feeding interactions and energy transfer are scattered in the literature or remain unpublished, making it difficult to locate and use such datasets. As part of the EU funded project SUMMER - Sustainable Management of Mesopelagic Resources H2020-BG-2018-2, GA: 817806) (https://summerh2020.eu/), we created MesopTroph, a georeferenced database of diet, trophic biogeochemical markers, and energy content of mesopelagic organisms and other marine taxa from the Northeast Atlantic and Mediterranean Sea, compiled from 191 published and non-published sources. MesopTroph includes seven datasets: (i) diet compositions from stomach content analysis, (ii) stable isotopes of carbon and nitrogen (δ13C and δ15N), (iii) fatty acid trophic markers (FATM), (iv) major and trace elements, (v) energy density, (vi) estimates of diet proportions, and (vii) trophic positions. The database contains information from 4918 samples, representing 51119 specimens from 499 species or genera, covering a wide range of trophic guilds and taxonomic groups. Metadata provided for each record include the location, dates and method of sample collection, taxonomic ranks (phylum, class, order, family), number and size (or size range) of sampled organisms, method/model used in data analysis, reference and DOI of the original data source. Compiled data were checked for errors, missing information, and to avoid duplicate entries, and scientific names and taxonomy were standardized.
    Keywords: diet composition; diet proportions; energy density; fatty acids; major and trace element data; Mediterranean; megafauna; mesopelagic food web; mesopelagic organisms; North Atlantic; Stable isotopes; Stomach contents; SUMMER; Sustainable Management of Mesopelagic Resources; trophic markers; trophic position
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 62
    Publication Date: 2024-06-27
    Description: Comparison of the equatorial upwelling system, the northern coastal upwelling system of the Gulf of Guinea and the tropical Angolan upwelling system.
    Type: Dataset
    Format: application/zip, 9 datasets
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  • 63
    Publication Date: 2024-06-27
    Description: In the ocean, downward flux of particles produced in sunlit surface waters is the major component of the biological carbon pump, which sequesters atmospheric carbon dioxide and fuels deep-sea ecosystems. The efficiency of downward carbon transfer is expected to be particularly high in tropical upwelling systems where hypoxia occurring beneath the productive surface waters is thought to hamper particle consumption. However, observations of both particle feeders and carbon export in low-oxygen waters are scarce. Here, we provide evidence that hypoxia-tolerant zooplankton feed on sinking particles in the extensive Oxygen Minimum Zone off Peru. Using several arrays of drifting sediment traps and in situ imaging, we show geochemical and morphological transformations of sinking particles and substantial control of carbon export by zooplankton. Our findings challenge the assumption of a consistently efficient biological carbon pump in OMZs and further demonstrate the need to consider mesopelagic organisms' adaptations when studying oceanic carbon sequestration.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; SFB754
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 64
    Publication Date: 2024-06-27
    Description: Understanding permafrost processes and changes requires long-term observational datasets of ground and climate variables. Despite the fact that the Arctic climate changes more rapidly than the rest of the globe, observational data density in the region is low and most time series are short. Long term observations are available from the Bayelva Site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made since 1998 and are still continued today. The climate observations include snow depth, snow dielectric number, snow temperature, liquid precipitation, air temperature, relative humidity, wind speed and direction, and radiation fluxes. The below-ground observations cover active layer and permafrost temperature, soil volumetric water content and soil bulk electrical conductivity. Since the data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as snow depth and soil moisture content, they are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.
    Keywords: active layer; air temperature; Arctic; AWI_Perma; Bayelva; Bayelva_Station; dielectricity; dielectric number; Electrical conductivity; Monitoring station; MONS; Ny-Ålesund, Spitsbergen; Permafrost; Permafrost Research; precipitation; radiation; relative humidity; relative permittivity; snow depth; snow height; Soil; Soil Moisture; soil temperature; Svalbard; Temperature; water content; wind direction; wind speed
    Type: Dataset
    Format: application/zip, 12 datasets
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  • 65
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; SFB181
    Type: Dataset
    Format: application/zip, 30 datasets
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  • 66
    Publication Date: 2024-06-27
    Description: In the autumn of 2014, nine large mesocosms were deployed in the oligotrophic subtropical North-Atlantic coastal waters off Gran Canaria (Spain). Their deployment was designed to address the acidification effects of CO2 levels from 400 to 1,400 μatm, on a plankton community experiencing upwelling of nutrient-rich deep water. Among other parameters, chlorophyll a (chl-a), potential respiration (PHi), and biomass in terms of particulate protein (B) were measured in the microplankton community (0.7–50.0 μm) during an oligotrophic phase (Phase I), a phytoplankton-bloom phase (Phase II), and a post-bloom phase (Phase III). Here, we explore the use of the PHi/chl-a ratio in monitoring shifts in the microplankton community composition and its metabolism. PHi/chl-a values below 2.5 μL O2/h/ (μg chl-a) indicated a community dominated by photoautotrophs. When PHi/chl-a ranged higher, between 2.5 and 7.0 μL O2/h/ (μg chl-a), it indicated a mixed community of phytoplankton, microzooplankton and heterotrophic prokaryotes. When PHi/chl-a rose above 7.0 μL O2/h/ (μg chl-a), it indicated a community where microzooplankton proliferated (〉10.0 μL O2/h/ (μg chl-a)), because heterotrophic dinoflagellates bloomed. The first derivative of B, as a function of time (dB/dt), indicates the rate of protein build-up when positive and the rate of protein loss, when negative. It revealed that the maximum increase in particulate protein (biomass) occurred between 1 and 2 days before the chl-a peak. A day after this peak, the trough revealed the maximum net biomass loss. This analysis did not detect significant changes in particulate protein, neither in Phase I nor in Phase III. Integral analysis of PHi, chl-a and B, over the duration of each phase, for each mesocosm, reflected a positive relationship between PHi and pCO2 during Phase II [alpha = 230*10−5 μL O2/h/L/(μatm CO2)/(phase-day), R2 = 0.30] and between chl-a and pCO2 during Phase III [alpha= 100*10−5 μg chl-a/L/ (μ atmCO2)/ (phase-day), R2 = 0.84]. At the end of Phase II, a harmful algal species (HAS), Vicicitus globosus, bloomed in the high pCO2 mesocosms. In these mesocosms, microzooplankton did not proliferate, and chl-a retention time in the water column increased. In these V. globosus-disrupted communities, the PHi/chl-a ratio [4.1 +- 1.5 μL O2/h/(μg chl-a)] was more similar to the PHi/chl-a ratio in a mixed plankton community than to a photoautotroph-dominated one.
    Keywords: Alkalinity, total; Amoeba; Amphidinium; Aragonite saturation state; Bicarbonate ion; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a; Ciliates; Coast and continental shelf; Community composition and diversity; DATE/TIME; Day of experiment; Dinophyceae; Diplopsalis group indeterminata; Entire community; Event label; Field experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gymnodinium; Katodinium glaucum; KOSMOS_2014; KOSMOS_2014_Atlantic-Reference; KOSMOS_2014_Mesocosm-M1; KOSMOS_2014_Mesocosm-M2; KOSMOS_2014_Mesocosm-M3; KOSMOS_2014_Mesocosm-M4; KOSMOS_2014_Mesocosm-M5; KOSMOS_2014_Mesocosm-M6; KOSMOS_2014_Mesocosm-M7; KOSMOS_2014_Mesocosm-M8; KOSMOS_2014_Mesocosm-M9; Macro-nutrients; MESO; Mesocosm experiment; Mesocosm label; Mesocosm or benthocosm; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Oxytoxum; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Pronoctiluca sp.; Proteins, particulate; Protoperidinium sp.; Respiration; Respiration rate, oxygen, potential; Salinity; Scuticociliates, fractionated; Subtropical North Atlantic; Temperate; Temperature, water; Tintinnida indeterminata; Torodinium sp.; Type
    Type: Dataset
    Format: text/tab-separated-values, 6763 data points
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  • 67
    Publication Date: 2024-06-27
    Description: We have estimated the standing stocks in carbon units per m² in the Baltic Sea ecosystem for 18 living and non-living groups relevant to carbon cycle and management activities in the Baltic Sea. We included three non-living apartments: POC, DOC and sediment carbon. The living groups comprise: phytoplankton, protozooplankton, bacteria, zooplankton, macrophythes, benthos, plaice, flounder, herring, sprat, cod, ringed seals, seals, grey seals and harbour porpoises. The estimates are based on ICES raw data and literature data and represent spatial and temporal averages. Data, data sources, assumptions and calculations are described in detail to ensure reproducibility.
    Keywords: Baltic Sea; BalticSea_biomass_C; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); biomass standing stock; carbon storage; Description; MULT; Multiple investigations
    Type: Dataset
    Format: text/tab-separated-values, 44 data points
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  • 68
    Publication Date: 2024-06-27
    Description: Two Teledyne RDI Ocean Surveyor systems with 38 and 75 kHz transmission frequency were used. Data was processed with a software package developed at GEOMAR following the GO-SHIP standards (Firing and Hummon, 2010). The data was subsequently averaged over one minute intervals, converted to a NetCDF based format.
    Keywords: Acoustic Doppler Current Profiler; Acoustic Doppler Current Profiling, vessel-mounted (VM-ADCP); ADCP; AtlantOS; Binary Object; Binary Object (File Size); Binary Object (Media Type); Description; Maria S. Merian; MSM74; MSM74_0_underway-3; Optimizing and Enhancing the Integrated Atlantic Ocean Observing System; RACE-II; Regional Atlantic Circulation and global Change II
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
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  • 69
    Publication Date: 2024-06-27
    Description: Seabird 911plus systems equipped with dual temperature-conductivity-oxygen sensors were employed. All systems had a 24-bottle water sampling rosette with 10 l Niskin bottles. Water sampling, processing, and calibration followed GO-SHIP recommendations (Swift, 2010; McTaggart et al., 2010; Uchida et al., 2010) and included the recommended steps Data Conversion, Sensor Time-Alignment, Creation of Bottle Files, Outlier Removal, Pressure Sensor Filtering, Conductivity Cell Thermal Mass Correction, Ship Roll Correction and Deck Offset Correction by Loop Editing, as well as Derivation of Calculated Properties. After these steps, conductivity and oxygen readings were calibrated against values determined with salinometry and Winkler titration , respectively. Finally, the downcast data was averaged over 1 dbar wide intervals. An independent upcast calibration was used to obtain calibrated CTDO values coincident with the discrete water samples.
    Keywords: AtlantOS; Attenuation, optical beam transmission; CTD/Rosette; CTD-RO; DATE/TIME; Density, sigma, in situ; DEPTH, water; Event label; Fluorescence; Maria S. Merian; MSM74; MSM74_100-1; MSM74_101-1; MSM74_102-1; MSM74_103-1; MSM74_104-1; MSM74_105-1; MSM74_106-1; MSM74_107-1; MSM74_108-1; MSM74_109-1; MSM74_1-1; MSM74_110-1; MSM74_11-1; MSM74_111-1; MSM74_11-2; MSM74_112-1; MSM74_113-1; MSM74_117-2; MSM74_118-1; MSM74_119-1; MSM74_120-1; MSM74_12-1; MSM74_121-1; MSM74_123-2; MSM74_124-1; MSM74_124-2; MSM74_125-1; MSM74_126-1; MSM74_127-1; MSM74_130-1; MSM74_131-1; MSM74_132-1; MSM74_14-1; MSM74_17-1; MSM74_18-1; MSM74_19-1; MSM74_20-1; MSM74_21-1; MSM74_23-1; MSM74_23-2; MSM74_24-1; MSM74_25-1; MSM74_26-1; MSM74_26-2; MSM74_27-1; MSM74_3-1; MSM74_31-1; MSM74_32-1; MSM74_33-1; MSM74_36-1; MSM74_37-1; MSM74_38-1; MSM74_38-2; MSM74_39-1; MSM74_40-1; MSM74_4-1; MSM74_41-2; MSM74_44-1; MSM74_45-1; MSM74_45-2; MSM74_45-3; MSM74_47-1; MSM74_48-1; MSM74_49-1; MSM74_50-1; MSM74_5-1; MSM74_51-1; MSM74_52-1; MSM74_52-2; MSM74_53-1; MSM74_54-1; MSM74_55-1; MSM74_56-1; MSM74_57-1; MSM74_58-1; MSM74_59-1; MSM74_60-1; MSM74_6-1; MSM74_61-3; MSM74_62-1; MSM74_63-1; MSM74_64-1; MSM74_65-1; MSM74_66-1; MSM74_67-1; MSM74_68-1; MSM74_69-1; MSM74_70-1; MSM74_71-1; MSM74_76-1; MSM74_77-1; MSM74_78-1; MSM74_79-1; MSM74_79-2; MSM74_80-1; MSM74_81-1; MSM74_83-1; MSM74_84-1; MSM74_85-1; MSM74_86-1; MSM74_87-1; MSM74_88-1; MSM74_89-1; MSM74_90-1; MSM74_91-1; MSM74_91-2; MSM74_92-1; MSM74_92-2; MSM74_93-1; MSM74_94-1; MSM74_95-1; MSM74_96-1; MSM74_97-1; MSM74_98-1; MSM74_99-1; Optimizing and Enhancing the Integrated Atlantic Ocean Observing System; Oxygen; Pressure, water; RACE-II; Regional Atlantic Circulation and global Change II; Salinity; Sound velocity in water; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 2311020 data points
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  • 70
    Publication Date: 2024-06-27
    Description: Underway temperature and salinity data was collected along the cruise track with two autonomous measurement systems. Usually, the systems are changed after 12 hours. While temperature is taken at the water inlet in about 6.5 m depth, salinity is estimated within the interior measurement container from conductivity and interior temperature. The data has been compared with CTD data from 5 dbar . This data has not been checked for outliers or noisy data caused by blocked thermosalinograph pumps. Please use with caution.
    Keywords: CT; DATE/TIME; DEPTH, water; Fluorescence, chlorophyll; LATITUDE; LONGITUDE; Maria S. Merian; MSM54; MSM54-track; Salinity; Temperature, water; Thermosalinograph; TSG; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 123118 data points
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  • 71
    Publication Date: 2024-06-27
    Description: The dataset contains the concentrations of 11 essential elements (micro-nutrients) analysed in whole bodies of 78 forage species sampled on the continental shelf or in the canyons of the Bay of Biscay, North-East Atlantic. The species encompass jellyfish, crustaceans, cephalopods, cartilaginous and bony fish from coastal to oceanic and deep-sea waters. The elements include two macro-minerals (nitrogen and phosphorous) and nine trace elements (arsenic, cobalt, chromium, copper, iron, manganese, nickel, selenium, and zinc). Most of the specimens were collected during the annual EVHOE fishery campaigns (“Evaluation Halieutique de l'Ouest de l'Europe”; https://doi.org/10.18142/8) conducted each autumn by the “Institut Français de Recherche pour l'Exploitation de la Mer” (Ifremer) on R/V Thalassa, between 2002 and 2008, by benthic trawling with marge vertical opening or by pelagic trawling. Some species were additionally sampled during the same period from opportunistic fishing boats. As far as possible, the size range of these forage species was selected to match published prey sizes for cetacean predators in the Bay of Biscay. All the material was frozen immediately after collection and kept at –20°C until being processed. In the laboratory, whole organisms were briefly thawed. To reduce inter-individual variability, few to hundreds of individuals (depending on the size of species) were grouped for each species (i.e. constitution of pools) and homogenized using a stainless-steel knife mill, carefully rinsed with ultrapure water between each sample. These pools of whole specimens (corresponding to analytical samples) were frozen again –20°C, freeze-dried and reduced into fine powder until further analyses. A total of 115 samples was finally analysed. The process of organisms and samples (brief thawing, homogenization, freeze-dried and reduction into powder) was done within a maximum of two years after at-sea collection, and the samples (powders) were stored in a clean and dry place until analyses. Total element analyses on samples were then all conducted at the same date (in 2016). Total nitrogen (N) concentrations were determined following the Kjeldahl method (AOAC, 1990). Briefly, this method consists in digesting the samples with sulfuric acid to transform all N present into ammonium sulfate. The solution is then alkalized and the resulting ammonia is determined by distillation into a known volume of boric acid, the excess of which (corresponding to the amount of nitrogen in samples) is finally determined by titration. For all other elements, aliquots of samples (~200 mg dry weight of homogenised powder) were digested using a 6:2 (v/v) mixture with nitric acid (HNO3 69%, Trace Metal Grade®, FisherScientific) and hydrochloric acid (HCl, 34%, Trace Metal Grade®, FisherScientific). Acidic digestion of the samples was performed overnight at room temperature and then in a microwave oven (START-D, Milestone). Total concentrations of the micro-mineral phosphorus (P) and of the essential trace elements arsenic (As), cobalt (Co), chromium (Cr), copper (Cu), iron (Fe), manganese (Mn), nickel (Ni), selenium (Se) and zinc (Zn) were determined by inductively coupled plasma atomic emission spectrometry (ICP-OES, Vista-Pro Varian) and/or mass spectrometry (ICP-MS, X Series 2 Thermofisher Scientific). The quality assurance of these elemental analyses relied on blank and internal standard controls, and on the accuracy and reproducibility of data relative to the certified reference materials (CRMs) used in each analytical run. The CRMs used were TORT-3 (lobster hepatopancreas, National Research Council of Canada/NRCC) and DOLT-4 (dogfish liver, NRCC). Blank values were systematically below the detection limits and CRM values concurred with certified concentrations, with recovery rates ranging between 83% and 116% depending on the elements and on the CRM. Limits of quantification (LOQ) were calculated for each sample, depending on the mass of the aliquot analysed. The few concentrations below LOQ were replaced by half of the LOQ for each sample of concern. Specifically, this concerned 19 and 2 samples out of the 115 analysed for Cr and Ni respectively, corresponding to about 15% of values (for Cr) or much less than 15% (for Ni), in which cases this method of replacing non-detects by half the LOQ may be applied for data analysis (U.S. Environmental Protection Agency, 2000). All elemental concentrations given on a dry weight basis can be converted on a wet weight basis according to the average percentages of moisture given for each species.
    Keywords: Arsenic; Arsenic, standard deviation; Bay_of_Biscay_2002_2008; Bay of Biscay Iberian Basin NE Atlantic; Campaign; Cephalopods; Chromium; Chromium, standard deviation; Class; Cobalt; Cobalt, standard deviation; Copper; Copper, standard deviation; Crustacea; Device type; Family; Field observation; fish; forage species; Habitat; ICP-OES, Varian Vista Pro; inorganic elements; Iron; Iron, standard deviation; Jellyfish; Kjeldahl digestion and titration (Fischer, 1984, PhD Thesis, Oregon State Univ.); LATITUDE; LONGITUDE; macro-minerals; Manganese; Manganese, standard deviation; Micro-nutrients; Moisture; Moisture, standard deviation; MULT; Multiple investigations; Nickel; Nickel, standard deviation; Nitrogen, standard deviation; Nitrogen, total; Number of individuals; Order; Phosphorus; Phosphorus, standard deviation; Phylum; prey; Sample amount; Selenium; Selenium, standard deviation; Size; Species; Species code; SUMMER; Sustainable Management of Mesopelagic Resources; temperate marine system; Tissue Descriptor; trace metals; Uniform resource locator/link to reference; Year of observation; Zinc; Zinc, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 2684 data points
    Location Call Number Expected Availability
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  • 72
    Publication Date: 2024-06-27
    Description: The multibeam echo sounder (MBES) data was collected from the 03.02.2019 (09:44 UTC) to the 13.02.2019 (16:19 UTC) with the Kongsberg EM122 on RV SONNE during the transit from Suva (Fiji) to Manzanillo (Mexico) in the Pacific Ocean. The deep-water MBES EM122 operates with an acoustic frequency of 12 kHz and a beam opening angle of 0.5° x 1°. The raw and unprocessed bathymetric and backscatter data is stored in Kongsberg format (*.all), each containing up to 60 min of data. The therein included time, motion and position data (WGS84, geographic) was measured by the Kongsberg Seapath system on board. During the acquisition the echo sounder was monitored as well as settings and filter adjusted according to the environment. The transit speed was up to 13 knots. The swath opening angle was set to 70° resulting in a swath width of about 15 km in 3,000 m water depth. Further, high density and dual swath mode were used resulting in 2 x 432 beams per ping. As the data was collected during transit, no specific surveys were performed. No sound velocity profiles (SVPs) were measured during the cruise. In the beginning of data acquisition, an SVP from a previous cruise was used. On the 04.02.2019, a synthetic SVP extracted from he World Ocean Atlas 2009 from NOAA (Levitus, 2013) using the software "Sound Speed Manager" (developed by the UNH Center for Coastal and Ocean Mapping and NOAA Coast Survey Development Laboratory (CSDL)) was applied in the MBES acquisition software SIS. The SVP data is not part of this submission but can be extracted from the *.all files. The data was post-processed using the software QPS Qimera. No further SVP re-computation, navigation correction or tide correction was applied. Erroneous depth measurements were deleted manually by using the swath and slice editor. The vertical datum is mean sea level (MSL). The cleaned data was exported in gsf format.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; Event label; File content; KEM122; KONGSBERG EM122; LATITUDE; LONGITUDE; Number of pings; OceanLight; Pacific Ocean; Ship speed; SO267/2; SO267/2_0_Underway-1; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 4352 data points
    Location Call Number Expected Availability
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  • 73
    Publication Date: 2024-06-27
    Description: The multibeam echo sounder (MBES) data was collected from the 03.02.2019 (09:44 UTC) to the 13.02.2019 (16:19 UTC) with the Kongsberg EM122 on RV SONNE during the transit from Suva (Fiji) to Manzanillo (Mexico) in the Pacific Ocean. The deep-water MBES EM122 operates with an acoustic frequency of 12 kHz and a beam opening angle of 0.5° x 1°. The raw and unprocessed bathymetric and backscatter data is stored in Kongsberg format (*.all), each containing up to 60 min of data. The therein included time, motion and position data (WGS84, geographic) was measured by the Kongsberg Seapath system on board. During the acquisition the echo sounder was monitored as well as settings and filter adjusted according to the environment. The transit speed was up to 13 knots. The swath opening angle was set to 70° resulting in a swath width of about 15 km in 3,000 m water depth. Further, high density and dual swath mode were used resulting in 2 x 432 beams per ping. As the data was collected during transit, no specific surveys were performed. No sound velocity profiles (SVPs) were measured during the cruise. In the beginning of data acquisition, an SVP from a previous cruise was used. On the 04.02.2019, a synthetic SVP extracted from he World Ocean Atlas 2009 from NOAA (Levitus, 2013) using the software "Sound Speed Manager" (developed by the UNH Center for Coastal and Ocean Mapping and NOAA Coast Survey Development Laboratory (CSDL)) was applied in the MBES acquisition software SIS. The SVP data is not part of this submission but can be extracted from the *.all files.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; Event label; Extracted from file; Extracted with MB-System; File content; KEM122; Kongsberg datagram raw file name; KONGSBERG EM122; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; OceanLight; Ship speed; SO267/2; SO267/2_0_Underway-1; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 4608 data points
    Location Call Number Expected Availability
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  • 74
    Publication Date: 2024-06-27
    Description: The multibeam echo sounder (MBES) data was collected from the 03.02.2019 (09:44 UTC) to the 13.02.2019 (16:19 UTC) with the Kongsberg EM122 on RV SONNE during the transit from Suva (Fiji) to Manzanillo (Mexico) in the Pacific Ocean. The deep-water MBES EM122 operates with an acoustic frequency of 12 kHz and a beam opening angle of 0.5° x 1°. The raw and unprocessed bathymetric and backscatter data is stored in Kongsberg format (*.all), each containing up to 60 min of data. The therein included time, motion and position data (WGS84, geographic) was measured by the Kongsberg Seapath system on board. During the acquisition the echo sounder was monitored as well as settings and filter adjusted according to the environment. The transit speed was up to 13 knots. The swath opening angle was set to 70° resulting in a swath width of about 15 km in 3,000 m water depth. Further, high density and dual swath mode were used resulting in 2 x 432 beams per ping. As the data was collected during transit, no specific surveys were performed. No sound velocity profiles (SVPs) were measured during the cruise. In the beginning of data acquisition, an SVP from a previous cruise was used. On the 04.02.2019, a synthetic SVP extracted from he World Ocean Atlas 2009 from NOAA (Levitus, 2013) using the software "Sound Speed Manager" (developed by the UNH Center for Coastal and Ocean Mapping and NOAA Coast Survey Development Laboratory (CSDL)) was applied in the MBES acquisition software SIS. The SVP data is not part of this submission but can be extracted from the *.all files. The data was post-processed using the software QPS Qimera. No further SVP re-computation, navigation correction or tide correction was applied. Erroneous depth measurements were deleted manually by using the swath and slice editor. The vertical datum is mean sea level (MSL). The cleaned data was exported as bathymetric grids in a resolution of 100 m (geotiff format, projected coordinates WGS84/UTM zone 5S (EPSG: 32705)).
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Elevation, maximum; Elevation, minimum; File content; Horizontal datum; Horizontal datum, projection stored in file; KEM122; KONGSBERG EM122; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; OceanLight; Pacific Ocean; Raster cell size; SO267/2; SO267/2_0_Underway-1; Sonne_2; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; UTM Zone, Universal Transverse Mercator; Vertical datum
    Type: Dataset
    Format: text/tab-separated-values, 187 data points
    Location Call Number Expected Availability
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  • 75
    Publication Date: 2024-06-27
    Description: Planktonic Foraminifera and thecosome pteropods are major producers of calcite and aragonite in the ocean and play an important role for pelagic carbonate flux. The responses of planktonic foraminifers to ocean acidification (OA) are variable among the species tested and so far do not allow for reliable conclusion. Thecosome pteropods respond with reduced calcification and shell dissolution to OA and are considered at high risk especially at high latitudes. The present investigation was part of a large-scale in situ mesocosm experiment in the oligotrophic waters of the eastern subtropical North Atlantic. Over 62 days, we measured the abundance and vertical flux of pelagic foraminifers and thecosome pteropods as part of a natural plankton community over a range of OA scenarios. A bloom phase was initiated by the introduction of deep-water collected from approx. 650 m depth simulating a natural up-welling event. Foraminifers occurred throughout the entire experiment in both the water column and the sediment traps. Pteropods were present only in small numbers and disappeared after the first two weeks of the experiment. No significant CO2 related effects were observed for foraminifers, but cumulative sedimentary flux was reduced at the highest CO2 concentrations. This flux reduction was most likely accompanying an observed flux reduction of particulate organic matter (POM) so that less foraminifers were intercepted and transported downward.
    Keywords: Alkalinity, total; Aragonite saturation state; Bicarbonate ion; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Community composition and diversity; DATE/TIME; Day of experiment; Depth, bottom/max; Depth, top/min; DEPTH, water, experiment; Entire community; Event label; Field experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Globigerinidae; Heteropoda; Identification; KOSMOS_2014; KOSMOS_2014_Atlantic-Reference; KOSMOS_2014_Mesocosm-M1; KOSMOS_2014_Mesocosm-M2; KOSMOS_2014_Mesocosm-M3; KOSMOS_2014_Mesocosm-M4; KOSMOS_2014_Mesocosm-M5; KOSMOS_2014_Mesocosm-M6; KOSMOS_2014_Mesocosm-M7; KOSMOS_2014_Mesocosm-M8; KOSMOS_2014_Mesocosm-M9; MESO; Mesocosm experiment; Mesocosm label; Mesocosm or benthocosm; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Orbulina universa, sexual stage; Other studied parameter or process; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Pteropoda; Salinity; Subtropical North Atlantic; Temperate; Temperature, water; Time in days; Treatment: partial pressure of carbon dioxide; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 10390 data points
    Location Call Number Expected Availability
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  • 76
    Publication Date: 2024-06-27
    Description: Stable isotope analysis (SIA) has emerged as a valuable tool for understanding the trophic structure of the marine food web and gaining insights into trophic levels and niche. Researchers are increasingly utilizing SIA in studies focused on feeding ecology, particularly in estimating the long-term diets of meso- and bathypelagic fish. To facilitate this research, a global database of published data on stable isotopes, specifically δ13C and δ15N, of meso- and bathypelagic fish was created. The database was constructed by conducting a thorough search on Google Scholar and reviewing the references cited in the retrieved papers. The search primarily involved using popular terms such as stable isotope analysis or feeding ecology in combination with mesopelagic or bathypelagic fish. The resulting SIA database contains δ13C and δ15N values for 95 different species of meso- and bathypelagic fish, belonging to 27 families, with specimens collected between 2004 and 2015. Each entry in the database includes information on the sampling location, month and year of sample collection, taxonomic classifications (phylum, class, order, family), number of samples analyzed, as well as the reference and DOI of the original data source. This global SIA database holds significant potential as a valuable tool and data source for conducting large-scale meta-analyses.
    Keywords: Actinopteri, standard length; Actinopteri, standard length, standard deviation; Actinopteri, total length; bathypelagic fish; Carbon/Nitrogen ratio; Carbon/Nitrogen ratio, standard deviation; Class; Comment; Family; Food web; Institution; Investigator; LATITUDE; Location; LONGITUDE; Mean values; mesopelagic fish; Month; Number of individuals; Ocean and sea region; Order; Organisms; Persistent Identifier; Phylum; Record number; Reference/source; stable isotope analysis; SUMMER; Sustainable Management of Mesopelagic Resources; Taxon/taxa; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); trophic level; Trophic level; Trophic level, standard deviation; Year of observation; δ13C; δ13C, standard deviation; δ15N; δ15N, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 5907 data points
    Location Call Number Expected Availability
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  • 77
    Publication Date: 2024-06-27
    Description: The dataset represents the number, the total and the standardized biomass (catch per unit effort) of 94 deep-pelagic fish species collected by pelagic trawling in submarine canyons of the Bay of Biscay slope during the EVHOE scientific cruises on R/V Thalassa in autumn between 2002 and 2019 (https://doi.org/10.18142/8). Fifty-six trawls were conducted at night between 20 m and 2000 m depth. The trawl net was 192 m long with a headline of 76 m and a foot rope of 70 m. The average vertical mean mouth opening was about 24 m and the horizontal opening of about 58 m. The mesh size gradually decreases from very large 8 m meshes at the mouth to 20 mm meshes in the codend. To allow the capture of very small specimens, the trawl is also equipped with a 7.5 m long sock with a 12 mm mesh. The trawl had an average vertical mouth opening of 24 m and a horizontal opening of 58 m. The duration of the haul was 1 hour at 4 kn. The trawl did not have an opening-closing mechanism. Therefore, some individuals might have been caught during the descent and ascent of the gear, however a higher trawl speed on deployment and a low speed on retrieval were implemented to reduce bycatch at shallower depths than the target depth. The biomass per unit effort is standardized by the volume hauled and was calculated by multiplying the vertical and horizontal trawl opening and the distance trawled. Individuals were identified by expert ichthyologists to the species level whenever possible, otherwise they were identified to the genus or family level, especially when individuals were too small or damaged. Species or taxa were counted and most often weighed. When weighing was not possible, an estimate of the average weight of individuals over the whole time series was calculated and the total weight per species was estimated.
    Keywords: Anoplogaster cornuta; Anoplogaster cornuta, biomass, wet mass; Anoplogaster cornuta, mass; Arctozenus risso; Arctozenus risso, biomass, wet mass; Arctozenus risso, mass; Argyropelecus hemigymnus; Argyropelecus hemigymnus, biomass, wet mass; Argyropelecus hemigymnus, mass; Argyropelecus olfersii; Argyropelecus olfersii, biomass, wet mass; Argyropelecus olfersii, mass; Astronesthes niger; Astronesthes niger, biomass, wet mass; Astronesthes niger, mass; Avocettina infans; Avocettina infans, biomass, wet mass; Avocettina infans, mass; Barbantus curvifrons; Barbantus curvifrons, biomass, wet mass; Barbantus curvifrons, mass; Bathylagichthys greyae; Bathylagichthys greyae, biomass, wet mass; Bathylagichthys greyae, mass; Bathylagus euryops; Bathylagus euryops, biomass, wet mass; Bathylagus euryops, mass; Bathylagus spp.; Bathylagus spp., biomass, wet mass; Bathylagus spp., mass; Bay of Biscay; Benthosema glaciale; Benthosema glaciale, biomass, wet mass; Benthosema glaciale, mass; Beryx splendens; Beryx splendens, biomass, wet mass; Beryx splendens, mass; Bolinichthys indicus; Bolinichthys indicus, biomass, wet mass; Bolinichthys indicus, mass; Bolinichthys supralateralis; Bolinichthys supralateralis, biomass, wet mass; Bolinichthys supralateralis, mass; Borostomias antarcticus; Borostomias antarcticus, biomass, wet mass; Borostomias antarcticus, mass; Calculated; Ceratoscopelus maderensis; Ceratoscopelus maderensis, biomass, wet mass; Ceratoscopelus maderensis, mass; Chauliodus sloani; Chauliodus sloani, biomass, wet mass; Chauliodus sloani, mass; Counted; Cyclothone spp.; Cyclothone spp., biomass, wet mass; Cyclothone spp., mass; Date/Time of event; Date/Time of event 2; DEPTH, water; Derichthys serpentinus; Derichthys serpentinus, biomass, wet mass; Derichthys serpentinus, mass; Derichthys spp.; Derichthys spp., biomass, wet mass; Derichthys spp., mass; Diaphus dumerilii; Diaphus dumerilii, biomass, wet mass; Diaphus dumerilii, mass; Diaphus metopoclampus; Diaphus metopoclampus, biomass, wet mass; Diaphus metopoclampus, mass; Diaphus mollis; Diaphus mollis, biomass, wet mass; Diaphus mollis, mass; Diaphus spp.; Diaphus spp., biomass, wet mass; Diaphus spp., mass; Dolicholagus longirostris; Dolicholagus longirostris, biomass, wet mass; Dolicholagus longirostris, mass; Dolichopteryx longipes; Dolichopteryx longipes, biomass, wet mass; Dolichopteryx longipes, mass; Electrona risso; Electrona risso, biomass, wet mass; Electrona risso, mass; Entelurus aequoreus; Entelurus aequoreus, biomass, wet mass; Entelurus aequoreus, mass; Eurypharynx pelecanoides; Eurypharynx pelecanoides, biomass, wet mass; Eurypharynx pelecanoides, mass; Event label; Evermannella balbo; Evermannella balbo, biomass, wet mass; Evermannella balbo, mass; EVHOE-2002; EVHOE-2003; EVHOE-2007; EVHOE-2008; EVHOE-2010; EVHOE-2011; EVHOE-2016; EVHOE-2017; EVHOE-2018; EVHOE-2019; EVHOE-G0344; EVHOE-G0349; EVHOE-G0354; EVHOE-G0365; EVHOE-G0370; EVHOE-G0380; EVHOE-G0399; EVHOE-H0400; EVHOE-H0411; EVHOE-H0419; EVHOE-H0425; EVHOE-H0431; EVHOE-H0467; EVHOE-L0731; EVHOE-L0736; EVHOE-L0742; EVHOE-L0747; EVHOE-L0752; EVHOE-L0761; EVHOE-L0766; EVHOE-M0855; EVHOE-M0862; EVHOE-M0876; EVHOE-M0881; EVHOE-M0887; EVHOE-M0892; EVHOE-O0959; EVHOE-O0964; EVHOE-O0969; EVHOE-O0978; EVHOE-O0983; EVHOE-O0995; EVHOE-P1048; EVHOE-P1053; EVHOE-P1062; EVHOE-P1067; EVHOE-P1072; EVHOE-U0508; EVHOE-U0514; EVHOE-U0519; EVHOE-U0524; EVHOE-U0530; EVHOE-U0536; EVHOE-U0541; EVHOE-V0494; EVHOE-W0534; EVHOE-W0545; EVHOE-W0551; EVHOE-W0562; EVHOE-W0568; EVHOE-X0447; EVHOE-X0453; EVHOE-X0458; EVHOE-X0464; EVHOE-X0470; EVHOE-X0476; Gadiculus argenteus; Gadiculus argenteus, biomass, wet mass; Gadiculus argenteus, mass; Gonostoma elongatum; Gonostoma elongatum, biomass, wet mass; Gonostoma elongatum, mass; GOV36-47; Grande Ouverture Verticale 36/47; Holtbyrnia anomala; Holtbyrnia anomala, biomass, wet mass; Holtbyrnia anomala, mass; Holtbyrnia macrops; Holtbyrnia macrops, biomass, wet mass; Holtbyrnia macrops, mass; Howella atlantica; Howella atlantica, biomass, wet mass; Howella atlantica, mass; Lampadena atlantica; Lampadena atlantica, biomass, wet mass; Lampadena atlantica, mass; Lampadena speculigera; Lampadena speculigera, biomass, wet mass; Lampadena speculigera, mass; Lampadena urophaos; Lampadena urophaos, biomass, wet mass; Lampadena urophaos, mass; Lampanyctus crocodilus; Lampanyctus crocodilus, biomass, wet mass; Lampanyctus crocodilus, mass; Lampanyctus festivus; Lampanyctus festivus, biomass, wet mass; Lampanyctus festivus, mass; Lampanyctus macdonaldi; Lampanyctus macdonaldi, biomass, wet mass; Lampanyctus macdonaldi, mass; Lampanyctus spp.; Lampanyctus spp., biomass, wet mass; Lampanyctus spp., mass; Latitude of event; Latitude of event 2; Leptostomias gladiator; Leptostomias gladiator, biomass, wet mass; Leptostomias gladiator, mass; Lestidiops affinis; Lestidiops affinis, biomass, wet mass; Lestidiops affinis, mass; Lestidiops sphyrenoides; Lestidiops sphyrenoides, biomass, wet mass; Lestidiops sphyrenoides, mass; Lobianchia gemellarii; Lobianchia gemellarii, biomass, wet mass; Lobianchia gemellarii, mass; Longitude of event; Longitude of event 2; Lyconus brachycolus; Lyconus brachycolus, biomass, wet mass; Lyconus brachycolus, mass; Macroparalepis affinis; Macroparalepis affinis, biomass, wet mass; Macroparalepis affinis, mass; Magnisudis atlantica; Magnisudis atlantica, biomass, wet mass; Magnisudis atlantica, mass; Malacosteus niger; Malacosteus niger, biomass, wet mass; Malacosteus niger, mass; Maulisia argipalla; Maulisia argipalla, biomass, wet mass; Maulisia argipalla, mass; Maulisia mauli; Maulisia mauli, biomass, wet mass; Maulisia mauli, mass; Maulisia microlepis; Maulisia microlepis, biomass, wet mass; Maulisia microlepis, mass; Maurolicus muelleri; Maurolicus muelleri, biomass, wet mass; Maurolicus muelleri, mass; Melanolagus bericoides; Melanolagus bericoides, biomass, wet mass; Melanolagus bericoides, mass; Melanonus zugmayeri; Melanonus zugmayeri, biomass, wet mass; Melanonus zugmayeri, mass; Melanostigma atlanticum; Melanostigma atlanticum, biomass, wet mass; Melanostigma atlanticum, mass; Melanostomias bartonbeani; Melanostomias bartonbeani, biomass, wet mass; Melanostomias bartonbeani, mass; Mentodus rostratus; Mentodus rostratus, biomass, wet mass; Mentodus rostratus, mass; Myctophidae; Myctophidae, biomass, wet mass; Myctophidae, mass; Myctophum punctatum; Myctophum punctatum, biomass, wet mass; Myctophum punctatum, mass; Nannobrachium atrum; Nannobrachium atrum, biomass, wet mass; Nannobrachium atrum, mass; Nannobrachium spp.; Nannobrachium spp., biomass, wet mass; Nannobrachium spp., mass; Nansenia oblita; Nansenia oblita, biomass, wet mass; Nansenia oblita, mass; Nansenia spp.; Nansenia spp., biomass, wet mass; Nansenia spp., mass; Neonesthes capensis; Neonesthes capensis, biomass, wet mass; Neonesthes capensis, mass; Nessorhamphus ingolfianus; Nessorhamphus ingolfianus, biomass, wet mass; Nessorhamphus ingolfianus, mass; Normichthys operosus; Normichthys operosus, biomass, wet mass; Normichthys operosus, mass; Notoscopelus kroyeri; Notoscopelus kroyeri, biomass, wet mass; Notoscopelus kroyeri, mass; Oneirodes anisacanthus; Oneirodes anisacanthus, biomass, wet mass; Oneirodes anisacanthus, mass; Oneirodes carlsbergi; Oneirodes carlsbergi, biomass, wet mass; Oneirodes carlsbergi, mass; Parabrotulidae; Parabrotulidae, biomass, wet mass; Parabrotulidae, mass; Paralepis coregonoides; Paralepis coregonoides, biomass, wet mass; Paralepis coregonoides, mass; Photostomias guernei; Photostomias guernei, biomass, wet mass; Photostomias guernei, mass; Photostylus pycnopterus; Photostylus pycnopterus, biomass, wet mass; Photostylus pycnopterus, mass; Platytroctidae; Platytroctidae, biomass, wet mass; Platytroctidae, mass; Polymetme thaeocoryla; Polymetme thaeocoryla, biomass, wet mass; Polymetme thaeocoryla, mass; Poromitra megalops; Poromitra megalops, biomass, wet mass; Poromitra megalops, mass;
    Type: Dataset
    Format: text/tab-separated-values, 15822 data points
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  • 78
    facet.materialart.
    Unknown
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publication Date: 2024-06-27
    Description: Raw data acquired by position sensors on board RV METEOR during expedition M189 were processed to receive a validated master track which can be used as reference of further expedition data. During M189 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and two C and C Technologies GPS receivers C-NAV3050 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
    Keywords: 1 sec resolution; BANINO; CT; DAM_Underway; DAM Underway Research Data; M189; M189-track; Meteor (1986); Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 98.6 MBytes
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  • 79
    facet.materialart.
    Unknown
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publication Date: 2024-06-27
    Description: Raw data acquired by position sensors on board RV METEOR during expedition M189 were processed to receive a validated master track which can be used as reference of further expedition data. During M189 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and two C and C Technologies GPS receivers C-NAV3050 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
    Keywords: BANINO; Calculated; Course; CT; DAM_Underway; DAM Underway Research Data; DATE/TIME; LATITUDE; LONGITUDE; M189; M189-track; Meteor (1986); Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 7510 data points
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  • 80
    Publication Date: 2024-06-27
    Description: Seabird 911plus systems equipped with dual temperature-conductivity-oxygen sensors were employed. All systems had a 24-bottle water sampling rosette with 10 l Niskin bottles. Water sampling, processing, and calibration followed GO-SHIP recommendations (Swift, 2010; McTaggart et al., 2010; Uchida et al., 2010) and included the recommended steps Data Conversion, Sensor Time-Alignment, Creation of Bottle Files, Outlier Removal, Pressure Sensor Filtering, Conductivity Cell Thermal Mass Correction, Ship Roll Correction and Deck Offset Correction by Loop Editing, as well as Derivation of Calculated Properties. After these steps, conductivity and oxygen readings were calibrated against values determined with salinometry and Winkler titration , respectively. Finally, the downcast data was averaged over 1 dbar wide intervals. An independent upcast calibration was used to obtain calibrated CTDO values coincident with the discrete water samples.
    Keywords: Attenuation, optical beam transmission; CTD/Rosette; CTD-001; CTD-002; CTD-003; CTD-004; CTD-005; CTD-006; CTD-007; CTD-008; CTD-009; CTD-010; CTD-011; CTD-012; CTD-013; CTD-014; CTD-015; CTD-016; CTD-017; CTD-018; CTD-019; CTD-020; CTD-021; CTD-022; CTD-023; CTD-024; CTD-025; CTD-026; CTD-027; CTD-028; CTD-029; CTD-030; CTD-031; CTD-033; CTD-034; CTD-035; CTD-036; CTD-037; CTD-038; CTD-039; CTD-040; CTD-041; CTD-042; CTD-043; CTD-044; CTD-045; CTD-046; CTD-047; CTD-048; CTD-049; CTD-050; CTD-051; CTD-052; CTD-053; CTD-054; CTD-055; CTD-056; CTD-057; CTD-058; CTD-059; CTD-060; CTD-061; CTD-062; CTD-063; CTD-064; CTD-065; CTD-066; CTD-067; CTD-068; CTD-069; CTD-070; CTD-072; CTD-073; CTD-074; CTD-075; CTD-076; CTD-077; CTD-078; CTD-079; CTD-080; CTD-081; CTD-082; CTD-083; CTD-084; CTD-085; CTD-086; CTD-087; CTD-RO; DATE/TIME; Density, potential; DEPTH, water; Event label; Fluorescence; Maria S. Merian; MSM54; MSM54_301-1; MSM54_302-1; MSM54_303-1; MSM54_303-2; MSM54_304-1; MSM54_305-1; MSM54_306-1; MSM54_307-1; MSM54_308-1; MSM54_310-1; MSM54_311-1; MSM54_312-1; MSM54_313-1; MSM54_317-1; MSM54_318-1; MSM54_319-1; MSM54_322-1; MSM54_323-1; MSM54_324-1; MSM54_325-1; MSM54_326-1; MSM54_331-1; MSM54_333-1; MSM54_335-1; MSM54_336-1; MSM54_339-1; MSM54_341-1; MSM54_342-1; MSM54_343-1; MSM54_346-1; MSM54_347-1; MSM54_348-1; MSM54_349-1; MSM54_351-1; MSM54_352-1; MSM54_353-1; MSM54_354-1; MSM54_355-1; MSM54_356-1; MSM54_357-1; MSM54_358-1; MSM54_359-1; MSM54_360-1; MSM54_361-1; MSM54_362-1; MSM54_363-1; MSM54_364-1; MSM54_365-1; MSM54_366-1; MSM54_367-1; MSM54_368-1; MSM54_369-1; MSM54_370-1; MSM54_371-1; MSM54_372-1; MSM54_373-1; MSM54_374-1; MSM54_375-1; MSM54_376-1; MSM54_377-1; MSM54_378-1; MSM54_379-1; MSM54_380-1; MSM54_381-1; MSM54_382-1; MSM54_383-1; MSM54_384-1; MSM54_390-1; MSM54_392-1; MSM54_393-1; MSM54_394-1; MSM54_396-1; MSM54_397-1; MSM54_398-1; MSM54_399-1; MSM54_400-1; MSM54_401-1; MSM54_402-1; MSM54_403-1; MSM54_404-1; MSM54_405-1; MSM54_406-1; MSM54_407-1; MSM54_408-1; MSM54_409-1; MSM54_410-1; MSM54_411-1; Oxygen; Pressure, water; RACE; Radiation, photosynthetically active; Regional Atlantic Circulation and global Change; Salinity; Sound velocity in water; Temperature, water; Transmission of light; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 2043380 data points
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  • 81
    Publication Date: 2024-06-27
    Description: Raw multibeam bathymetry data were collected aboard RV METEOR during cruise M189 using a Kongsberg EM 122 multibeam echosounder. The expedition took place during 16.04.2023-13.05.2023 from Walvis Bay to Walvis Bay (Namibia) in the Central and Southern Atlantic Ocean. The main objective of M189 was to measure the variability of the circulation and the coastal upwelling off Angola and Namibia. Data were recorded within the Namibia and Angola EEZ. Sound velocity profiles (SVP) were applied on the data for calibration. Please see environmental data and the cruise report for details. The data are unprocessed and can therefore contain incorrect depth measurements (artifacts) if not further processed. Note that refraction errors may occur when no proper SVP is applied. Acquisition and provision of the data are part of the DAM Underway Project and published according to the FAIR principles.
    Keywords: BANINO; Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM122; EM122 multibeam echosounder; Event label; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; M189; M189_0_Underway-3; Meteor (1986); Multibeam Echosounder; Number of pings; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 17814 data points
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  • 82
    Publication Date: 2024-06-27
    Description: Passive acoustic monitoring (PAM) data were collected by recorder SV1025 of type Sono.Vault (manufactured by develogic GmbH, Hamburg, Germany) at 59.0438° S, 0.082° E, mooring AWI227-12, in Weddell Sea, Atlantic sector of the Southern Ocean. During a deployment period from December 2012 to December 2014, passive acoustic data were collected from December 2012 to July 2013 (recording period) by SV1025 as part of the Hybrid Antarctic Float Observing System (HAFOS) in the Weddell Sea. The recorder was moored at 1020 m depth and scheduled to record continuously at a sample rate of 5,333 Hz. Further details about the data acquisition and processing of this data set can be found in the accompanying metadata file (see Additional metadata) as well as the data processing report (see Data Processing Report). Passive acoustic data archived here represent data processing Level 2+ (see the associated data processing report), deviating from Standard Operation Procedure (SOP) Glossary (Thomisch et al. 2023a). Further information on data processing with regard to data preparation and standardization can be found in the associated SOP Part 1: Data preparation and standardization (Thomisch et al. 2023b).
    Keywords: ANT-XXIX/2; ANT-XXX/2; Audio file; Audio file (File Size); AWI227-12; DATE/TIME; DEPTH, water; HAFOS; Hybrid Antarctic Float Observation System; MOOR; Mooring; Mooring (long time); MOORY; Passive acoustic recorder Sono.Vault, develogic GmbH; Polarstern; PS81; PS81/039-3; PS89; PS89/020-1; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 214 data points
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  • 83
    Publication Date: 2024-06-27
    Description: Passive acoustic monitoring (PAM) data were collected by recorder AU0085 of type AURAL (Autonomous Underwater Recorder for Acoustic Listening (AURAL; Model 2, Multi-Électronique) at 66.0188° S, 0.0795° E, mooring AWI230-6, in the Weddell Sea, Atlantic sector of the Southern Ocean. Passive acoustic data were collected from March 2008 to December 2010 by AU0085 as part of the Hybrid Antarctic Float Observing System (HAFOS) in the Weddell Sea. The recorder was moored at 189 m depth and scheduled to record at a duty cycle of 5 min per 4 h at a sample rate of 32,768 Hz. Further details about the data acquisition and processing of this data set can be found in the accompanying metadata file (see Additional metadata) as well as the data processing report (see Data Processing Report). Passive acoustic data archived here represent data processing Level 1+, according to the standards defined in the associated Standard Operation Procedure (SOP) Glossary (Thomisch et al. 2023a). Further information on data processing with regard to data preparation and standardization can be found in the associated SOP Part 1: Data preparation and standardization (Thomisch et al. 2023b).
    Keywords: ANT-XXIV/3; ANT-XXVII/2; Audio file; Audio file (File Size); Autonomous Underwater Recorder for Acoustic Listening, Multi-Électronique, AURAL Model 2; AWI230-06,AWI230-6; AWI230-6; AWI230-6,AWI230-06; DATE/TIME; DEPTH, water; HAFOS; Hybrid Antarctic Float Observation System; Lazarev Sea; MOOR; Mooring; Mooring (long time); MOORY; Polarstern; PS71; PS71/159-3; PS77; PS77/058-1; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 1014 data points
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  • 84
    Publication Date: 2024-06-27
    Description: Passive acoustic monitoring (PAM) data were collected by recorder AU0086 of type AURAL (Autonomous Underwater Recorder for Acoustic Listening (AURAL; Model 2, Multi-Électronique) at 68.9957° S, 0.0028° E, mooring AWI232-9, in the Weddell Sea, Atlantic sector of the Southern Ocean. Passive acoustic data were collected from March 2008 to December 2010 by AU0086 as part of the Hybrid Antarctic Float Observing System (HAFOS) in the Weddell Sea. The recorder was moored at 206 m depth and scheduled to record at a duty cycle of 5 min per 4 h at a sample rate of 32,768 Hz. Further details about the data acquisition and processing of this data set can be found in the accompanying metadata file (see Additional metadata) as well as the data processing report (see Data Processing Report). Passive acoustic data archived here represent data processing Level 1+, according to the standards defined in the associated Standard Operation Procedure (SOP) Glossary (Thomisch et al. 2023a). Further information on data processing with regard to data preparation and standardization can be found in the associated SOP Part 1: Data preparation and standardization (Thomisch et al. 2023b).
    Keywords: ANT-XXIV/3; ANT-XXVII/2; Audio file; Audio file (File Size); Autonomous Underwater Recorder for Acoustic Listening, Multi-Électronique, AURAL Model 2; AWI232-9; AWI232-9,AWI232-09; DATE/TIME; DEPTH, water; HAFOS; Hybrid Antarctic Float Observation System; MOOR; Mooring; Mooring (long time); MOORY; Polarstern; PS71; PS71/175-4; PS77; PS77/066-2; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 1014 data points
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  • 85
    Publication Date: 2024-06-27
    Description: Passive acoustic monitoring (PAM) data were collected by recorder AU0231 of type AURAL (Autonomous Underwater Recorder for Acoustic Listening (AURAL; Model 2, Multi-Électronique) at 61.0147° S, 55.9755° W, mooring AWI251-1, in the Weddell Sea, Atlantic sector of the Southern Ocean. Passive acoustic data were collected from January 2013 to February 2016 by AU0231 as part of the Hybrid Antarctic Float Observing System (HAFOS) in the Weddell Sea. The recorder was moored at 210 m depth and scheduled to record at a duty cycle of 5 min per hour at a sample rate of 32,768 Hz. Further details about the data acquisition and processing of this data set can be found in the accompanying metadata file (see Additional metadata) as well as the data processing report (see Data Processing Report). Passive acoustic data archived here represent data processing Level 1+, according to the standards defined in the associated Standard Operation Procedure (SOP) Glossary (Thomisch et al. 2023a). Further information on data processing with regard to data preparation and standardization can be found in the associated SOP Part 1: Data preparation and standardization (Thomisch et al. 2023b).
    Keywords: ANT-XXIX/2; ANT-XXXI/2 FROSN; Audio file; Autonomous Underwater Recorder for Acoustic Listening, Multi-Électronique, AURAL Model 2; AWI251-1,AWI251-01; DATE/TIME; DEPTH, water; HAFOS; Hybrid Antarctic Float Observation System; MOOR; Mooring; Polarstern; PS81; PS81/112-1; PS96; PS96/118-1; Scotia Sea; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 1121 data points
    Location Call Number Expected Availability
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  • 86
    Publication Date: 2024-06-27
    Description: Aerobic Anoxygenic Phototrophic (AAP) bacteria are an important component of freshwater bacterioplankton. They can support their heterotrophic metabolism with energy from light, and by that enhance their growth efficiency. Based on results from cultures, it was hypothesized that photoheterotrophy provides an advantage under carbon limitation and facilitates access to recalcitrant or low-energy carbon sources. However, verification of these hypotheses for natural AAP communities has been lacking. Here, we conducted whole community manipulation experiments and compared the growth of AAP bacteria under carbon limited and with recalcitrant (lignin) or low energy (acetate) carbon sources under dark and infra-red (IR) light conditions to elucidate how they profit from photoheterotrophy. We performed two whole community manipulation experiments in 2-litre microcosms. The first experiment was conducted in June 2018. Lignin was used as the recalcitrant carbon source. Samples were collected every 12 hours. The second experiment was conducted in October 2018. Acetate was used as the low-energy carbon source. Samples were collected every 24 hours. Both experiments were done in at in situ temperature. We measured concentrations of bacteriochlorophyll-a, total prokaryotic count, aerobic anoxygenic phototrophic bacteria count, and heterotrophic nanoflagellates count. This dataset is related to Piwosz et al. (in prep).
    Keywords: Bacteria, aerobic, anoxygenic, phototrophic; Bacteriochlorophyll a; Date/time start, experiment; Duration; Experimental condition; Fluorometer, PSI (Photon Systems Instruments), spol. s.r.o., FL200/PS; Ingoranic basal medium dilution according to Hahn et al. (20023); Mercury thermometer; Microscope, Carl Zeiss, Axio Imager.D2; coupled with Collibri LED module illumination system, Carl Zeiss; Nanoflagellates, heterotrophic; Prokaryotes; Replicate; Sample code/label; Treatment: light condition; Treatment: temperature; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 2156 data points
    Location Call Number Expected Availability
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  • 87
    Publication Date: 2024-06-27
    Keywords: 0306SFC_PRT; 061ASFC_PRT; 06AQ19860627-track; 06AQ19860928-track; 06AQ19911114-track; 06AQ19911210-track; 06AQ19921005-track; 06AQ19930128-track; 06AQ19930228-track; 06AQ19931019-track; 06AQ19940524-track; 06AQ19951112-track; 06AQ19960320-track; 06AQ19980411-track; 06AQ19990327-track; 06AQ20001004-track; 06AQ20001026-track; 06AQ20021126-track; 06AQ20021214-track; 06AQ20071203-track; 06AQ20080209-track; 06AQ20080416-track; 06AQ20080624-track; 06AQ20080705-track; 06AQ20090109-track; 06AQ20090322-track; 06AQ20090413-track; 06AQ20090622-track; 06AQ20090711-track; 06AQ20090806-track; 06AQ20091023-track; 06AQ20091129-track; 06AQ20100131-track; 06AQ20100408-track; 06AQ20101026-track; 06AQ20110617-track; 06AQ20110715-track; 06AQ20110806-track; 06AQ20111214-track; 06AQ20120108-track; 06AQ20120318-track; 06AQ20120411-track; 06AQ20120615-track; 06AQ20120716-track; 06AQ20120803-track; 06AQ20131110-track; 06AQ20131221-track; 06AQ20140309-track; 06AQ20140608-track; 06AQ20140707-track; 06AQ20140805-track; 06AQ20141026-track; 06AQ20141203-track; 06AQ20150204-track; 06AQ20150519-track; 06AQ20150629-track; 06AQ20150818-track; 06AQ20151030-track; 06AQ20151207-track; 06AQ20160220-track; 06AQ20160412-track; 06AQ20160614-track; 06AQ20160720-track; 06AQ20170205-track; 06AQ20170321-track; 06AQ20170524-track; 06AQ20170723-track; 06AQ20170822-track; 06AQ20170912-track; 06BE19961010-track; 06BE19970515-track; 06BE19970612-track; 06BE20140710-track; 06BE20140723-track; 06CK20060523-track; 06CK20060715-track; 06CK20060821-track; 06GA19960613-track; 06GA276_3; 06LB19831130-track; 06LB19840107-track; 06LB19840629-track; 06LB19850110-track; 06LB19850313-track; 06LB19850812-track; 06LB19860116-track; 06LB19860323-track; 06LB19860801-track; 06LB19861011-track; 06LB19861214-track; 06LB19870221-track; 06LB19870501-track; 06LB19870721-track; 06LB19870920-track; 06LB19871126-track; 06LB19871231-track; 06LB19880204-track; 06M220110623-track; 06M320120320-track; 06M320120407-track; 06MT18_1; 06MT19910903-track; 06MT19920510-track; 06MT19921229-track; 06MT19941012-track; 06MT19941119-track; 06MT19950714-track; 06MT19960607-track; 06MT19960622-track; 06MT19970106-track; 06MT19970516-track; 06MT19970707-track; 06MT19981228-track; 06MT20021015-track; 06MT20060714; 06MT20060714-track; 06MT22_5; 06MT30_2; 06MT30_3; 06MT37_2; 06MT39_4; 06P119910616-track; 06P119950901-track; 06PO20050321; 06PO20050322-track; 06PO20070210-track; 06PO20100531-track; 06ZG20091213; 06ZG20091213-track; 06ZG20100115; 06ZG20100115-track; 06ZG20100207; 06ZG20100207-track; 06ZG20100226; 06ZG20100226-track; 06ZG20100321; 06ZG20100321-track; 06ZG20100409; 06ZG20100409-track; 06ZG20100506; 06ZG20100506-track; 06ZG20100716; 06ZG20100716-track; 06ZG20100813; 06ZG20100813-track; 06ZG20100902; 06ZG20100902-track; 06ZG20100930; 06ZG20100930-track; 06ZG20101023; 06ZG20101023-track; 06ZG20101118; 06ZG20101118-track; 06ZG20101211; 06ZG20101211-track; 07AL19951011-track; 07AL19960218-track; 07AL19970503-track; 07AL19990718-track; 07AL19991101-track; 07AL19991129-track; 07AL20000113-track; 07AL20000210-track; 07AL20000305-track; 07AL20010513-track; 07AL20010607-track; 07AL20010709-track; 07AL20010802-track; 08AI20000324-track; 08AI20010124-track; 08AI20010808-track; 08AI20020131-track; 08AI20030206-track; 08AI20040227-track; 08AI20041225-track; 08D820170918; 08D820170918-track; 08PD20051019-track; 08PD20060310-track; 08PD20060907-track; 096U20150321; 096U20150321-track; 096U20160108; 096U20160108-track; 096U20160314; 096U20160314-track; 096U20160426-track; 096U20160630; 096U20160630-track; 096U20160817; 096U20160817-track; 096U20160825; 096U20160825-track; 096U20160831; 096U20160831-track; 096U20160927; 096U20160927-track; 096U20161028; 096U20161028-track; 096U20170114; 096U20170114-track; 096U20170319; 096U20170319-track; 096U20170411; 096U20170411-track; 096U20170504; 096U20170504-track; 096U20170515; 096U20170515-track; 096U20170831; 096U20170831-track; 096U20170924; 096U20170924-track; 096U20171011; 096U20171011-track; 096U20171125; 096U20171125-track; 096U20180111; 096U20180111-track; 096U20180302; 096U20180302-track; 096U20180405; 096U20180405-track; 096U20180418; 096U20180418-track; 096U20180514; 096U20180514-track; 096U20180528; 096U20180528-track; 09AR0103; 09AR19910926-track; 09AR19921019-track; 09AR19930105-track; 09AR19930311-track; 09AR19930807-track; 09AR19931119-track; 09AR19940101-track; 09AR19940831-track; 09AR19941213-track; 09AR19950717-track; 09AR19950916-track; 09AR19960119-track; 09AR19960822-track; 09AR19970910-track; 09AR19971114-track; 09AR19980228-track; 09AR19980404-track; 09AR19980715-track; 09AR19990716-track; 09AR20011031-track; 09AR20060102; 09AR20060102-track; 09AR20110104; 09AR20110104-track; 09AR20110222; 09AR20110222-track; 09AR20120105; 09AR20120105-track; 09AR20120215; 09AR20120215-track; 09AR20120416; 09AR20120416-track; 09AR20120914; 09AR20120914-track; 09AR20121116; 09AR20121116-track; 09AR20121217; 09AR20121217-track; 09AR20130113; 09AR20130113-track; 09AR20130228; 09AR20130228-track; 09AR20131015; 09AR20131015-track; 09AR20140129; 09AR20140129-track; 09AR20140309; 09AR20140309-track; 09AR20141022; 09AR20141022-track; 09AR20141205; 09AR20141205-track; 09AR20150128; 09AR20150128-track; 09AR20151022; 09AR20151022-track; 09AR20151028; 09AR20151028-track; 09AR20151201; 09AR20151201-track; 09AR20151209; 09AR20151209-track; 09AR20160111; 09AR20160111-track; 09AR20161021; 09AR20161021-track; 09AR20161026; 09AR20161026-track; 09AR20161208; 09AR20161208-track; 09AR20170125; 09AR20170125-track; 09AR20170314; 09AR20170314-track; 09AR20171029; 09AR20171029-track; 09AR20171213; 09AR20171213-track; 09AR20180115; 09AR20180115-track; 09AR20180308; 09AR20180308-track; 09AR9401; 09AR9404; 09AR9407; 09AR9501; 09AR9502; 09AR9601; 09AR9604; 09AR9701; 09AR9703; 09AR9707; 09AR9801; 09AR9806; 09AR9901; 09FA19920618-track; 09FA19920625-track; 09FA20000927-track; 09FS20091009; 09FS20091009-moor; 09FS20100421; 09FS20100421-moor; 09FS20100908; 09FS20100908-moor; 09FS20110311; 09FS20110311-moor; 09FS20110420; 09FS20110420-moor; 09FS20110826; 09FS20110826-moor; 09FS20111018; 09FS20111018-moor; 09FS20120208; 09FS20120208-moor; 09FS20120417; 09FS20120417-moor; 09FS20160805; 09FS20160805-moor; 09FS20160817; 09FS20160817-moor; 09FS20160912; 09FS20160912-moor; 09FS20161129; 09FS20161129-moor; 09FS20170207; 09FS20170207-moor; 09FS20170306; 09FS20170306-moor; 09FS20170520; 09FS20170520-moor; 09FS20170907; 09FS20170907-moor; 09FS20170912; 09FS20170912-moor; 09FS20171206; 09FS20171206-moor; 09FS20180215; 09FS20180215-moor; 09FS20180419; 09FS20180419-moor; 09FS20180524; 09FS20180524-moor; 09SS19951116-track; 09SS19990205-track; 09SS20080111-track; 09SS20080204-track; 09SS20080228-track; 09SS20080321-track; 09SS20080405-track; 09SS20080410-track; 09SS20080416-track; 09SS20080430-track; 09SS20080608-track; 09SS20080724-track; 09SS20080812-track; 09SS20081010-track; 09SS20090128-track; 09SS20090203-track; 09SS20090422-track; 09SS20090604-track; 09SS20090703-track; 09SS20090729-track; 09SS20090922-track; 09SS20091010-track; 09SS20091016-track; 09SS20100128-track; 09SS20100315-track; 09SS20100329-track; 09SS20100414-track; 09SS20100508-track; 09SS20100706-track; 09SS20100729-track; 09SS20100810-track; 09SS20100906-track; 09SS20100922-track; 09SS20101015-track; 09SS20110405-track; 09SS20110416-track; 09SS20110505-track; 09SS20110513-track; 09SS20110606-track; 09SS20110801-track; 09SS20110812-track; 09SS20110825-track; 09SS20111110-track; 09SS20111122-track; 09SS20120411-track; 09SS20120420-track; 09SS20120502-track; 09SS20120512-track; 09SS20120607-track; 09SS20120711-track; 11BE19930419-track; 11BE19930921-track; 11BE19931003-track; 11BE19940411-track; 11BE19940413-track; 11BE19950303-track; 11BE19950912-track; 11BE19970513-track; 11BE19970527-track; 11BE19970609-track; 11BE19970618-track; 11BE19970621; 11BE19970621-track; 11BE19970702-track; 11BE19980614-track; 11BE19980625-track; 11BE19980627; 11BE19980627-track; 11BE19980710-track;
    Type: Dataset
    Format: text/tab-separated-values, 95289 data points
    Location Call Number Expected Availability
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  • 88
    Publication Date: 2024-06-27
    Description: Current velocities of the upper water column along the cruise track of R/V Meteor III cruise MET189 were collected by a vessel-mounted 75 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 5.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 8.00 m, a blanking distance of 4.00 m, and a total of 100 bins, covering the depth range between 17.0 m and 809.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. Single-ping data / ping ensembles were screened for bottom signals and, where appropriate, a bottom mask was manually processed. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. To reduce acoustic interference with other acoustic devices the transducer orientation with respect to the ship's centerline was adjusted during the cruise from 45° to 0°. Data post-processing included water track calibration of the misalignment angle (Setting 1: -44.7838° +/- 0.6174°, Setting 2: -0.2047° +/- 0.4679°) and scale factor (Setting 1: 1.0092 +/- 0.0114, Setting 2: 1.0035 +/- 0.0076) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 60 s. Velocity quality flagging is based on following threshold criteria: abs(UC) or abs(VC) 〉 1.5 m/s, rms(UC_z) or rms(VC_z) 〉 0.3.
    Keywords: BANINO; Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; LATITUDE; LONGITUDE; M189; M189_0_Underway-7; Meteor (1986); Pings, averaged to a double ensemble value; Quality flag, current velocity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Vessel mounted Acoustic Doppler Current Profiler [75 kHz]; VMADCP-75
    Type: Dataset
    Format: text/tab-separated-values, 6666125 data points
    Location Call Number Expected Availability
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  • 89
    Publication Date: 2024-06-27
    Description: Information on the energy density of prey is critical for estimating food requirements and consumption by predators and modelling energy flux through food webs (Van de Putte et al., 2006). We compiled energy density values for 121 marine species or genera from 12 published sources. The dataset encompasses 71 benthic and pelagic fish, 29 crustaceans, 15 cephalopods, 2 elasmobranchs, 2 jelly fish and 1 salp, sampled in the central and Northeast Atlantic and in the Mediterranean Sea between 1992 and 2017. Data were collected from studies that measured energy density directly by bomb calorimetry, and those studies that measured the proximate composition (i.e. the percentage of proteins, lipids and carbohydrates) of sampled tissues and converted these percentages into energy using combustion equivalents reported in the literature. When available, we reported energy density (or mean density, for samples with more than one individual) as a function of dry and wet weight, and the moisture percentage of samples. For each data record, we also provided the sampling location, geographic coordinates, month and year of sample collection, method of sample collection, taxonomic ranks (phylum, class, order, family), number and size (or size range) of sampled organisms, as well as the reference and DOI of the original data source, for further details on the samples analysed and/or the analytical techniques used.
    Keywords: Adour_estuary_comp; Andalusia_comp; Balearic_Sea_comp; Bay_of_Biscay_comp; Catalonian_Sea_comp; Cephalopods; Class; Comment; Crustacea; DEPTH, water; elasmobranchs; energy density; Energy density, per dry mass; Energy density, per dry mass, standard deviation; Energy density, per wet mass; Energy density, per wet mass, standard deviation; Event label; Family; fish; Gear; Gran_Canaria_comp; Gulf_of_Lions_comp; Ionian_Sea_comp; Jellyfish; LATITUDE; Location; LONGITUDE; Moisture; Moisture, standard deviation; Month; North_Sea_comp; Number of individuals; Ocean and sea region; Order; Organisms; Persistent Identifier; Phylum; Port_Said_Governorate_comp; Record number; Reference/source; Reference of data; Replicates; salps; Size; SUMMER; Sustainable Management of Mesopelagic Resources; Taxon/taxa; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Tissue Descriptor; Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 3693 data points
    Location Call Number Expected Availability
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  • 90
    Publication Date: 2024-06-27
    Keywords: CT; DATE/TIME; Heading; Hyperspectral radiance meter, TriOS, RAMSES-ARC; hypespectral; ICBM; Institut für Chemie und Biologie des Meeres; LATITUDE; LONGITUDE; OceanLight; Pacific Ocean; Radiance, sky at 320 nm; Radiance, sky at 321 nm; Radiance, sky at 322 nm; Radiance, sky at 323 nm; Radiance, sky at 324 nm; Radiance, sky at 325 nm; Radiance, sky at 326 nm; Radiance, sky at 327 nm; Radiance, sky at 328 nm; Radiance, sky at 329 nm; Radiance, sky at 330 nm; Radiance, sky at 331 nm; Radiance, sky at 332 nm; Radiance, sky at 333 nm; Radiance, sky at 334 nm; Radiance, sky at 335 nm; Radiance, sky at 336 nm; Radiance, sky at 337 nm; Radiance, sky at 338 nm; Radiance, sky at 339 nm; Radiance, sky at 340 nm; Radiance, sky at 341 nm; Radiance, sky at 342 nm; Radiance, sky at 343 nm; Radiance, sky at 344 nm; Radiance, sky at 345 nm; Radiance, sky at 346 nm; Radiance, sky at 347 nm; Radiance, sky at 348 nm; Radiance, sky at 349 nm; Radiance, sky at 350 nm; Radiance, sky at 351 nm; Radiance, sky at 352 nm; Radiance, sky at 353 nm; Radiance, sky at 354 nm; Radiance, sky at 355 nm; Radiance, sky at 356 nm; Radiance, sky at 357 nm; Radiance, sky at 358 nm; Radiance, sky at 359 nm; Radiance, sky at 360 nm; Radiance, sky at 361 nm; Radiance, sky at 362 nm; Radiance, sky at 363 nm; Radiance, sky at 364 nm; Radiance, sky at 365 nm; Radiance, sky at 366 nm; Radiance, sky at 367 nm; Radiance, sky at 368 nm; Radiance, sky at 369 nm; Radiance, sky at 370 nm; Radiance, sky at 371 nm; Radiance, sky at 372 nm; Radiance, sky at 373 nm; Radiance, sky at 374 nm; Radiance, sky at 375 nm; Radiance, sky at 376 nm; Radiance, sky at 377 nm; Radiance, sky at 378 nm; Radiance, sky at 379 nm; Radiance, sky at 380 nm; Radiance, sky at 381 nm; Radiance, sky at 382 nm; Radiance, sky at 383 nm; Radiance, sky at 384 nm; Radiance, sky at 385 nm; Radiance, sky at 386 nm; Radiance, sky at 387 nm; Radiance, sky at 388 nm; Radiance, sky at 389 nm; Radiance, sky at 390 nm; Radiance, sky at 391 nm; Radiance, sky at 392 nm; Radiance, sky at 393 nm; Radiance, sky at 394 nm; Radiance, sky at 395 nm; Radiance, sky at 396 nm; Radiance, sky at 397 nm; Radiance, sky at 398 nm; Radiance, sky at 399 nm; Radiance, sky at 400 nm; Radiance, sky at 401 nm; Radiance, sky at 402 nm; Radiance, sky at 403 nm; Radiance, sky at 404 nm; Radiance, sky at 405 nm; Radiance, sky at 406 nm; Radiance, sky at 407 nm; Radiance, sky at 408 nm; Radiance, sky at 409 nm; Radiance, sky at 410 nm; Radiance, sky at 411 nm; Radiance, sky at 412 nm; Radiance, sky at 413 nm; Radiance, sky at 414 nm; Radiance, sky at 415 nm; Radiance, sky at 416 nm; Radiance, sky at 417 nm; Radiance, sky at 418 nm; Radiance, sky at 419 nm; Radiance, sky at 420 nm; Radiance, sky at 421 nm; Radiance, sky at 422 nm; Radiance, sky at 423 nm; Radiance, sky at 424 nm; Radiance, sky at 425 nm; Radiance, sky at 426 nm; Radiance, sky at 427 nm; Radiance, sky at 428 nm; Radiance, sky at 429 nm; Radiance, sky at 430 nm; Radiance, sky at 431 nm; Radiance, sky at 432 nm; Radiance, sky at 433 nm; Radiance, sky at 434 nm; Radiance, sky at 435 nm; Radiance, sky at 436 nm; Radiance, sky at 437 nm; Radiance, sky at 438 nm; Radiance, sky at 439 nm; Radiance, sky at 440 nm; Radiance, sky at 441 nm; Radiance, sky at 442 nm; Radiance, sky at 443 nm; Radiance, sky at 444 nm; Radiance, sky at 445 nm; Radiance, sky at 446 nm; Radiance, sky at 447 nm; Radiance, sky at 448 nm; Radiance, sky at 449 nm; Radiance, sky at 450 nm; Radiance, sky at 451 nm; Radiance, sky at 452 nm; Radiance, sky at 453 nm; Radiance, sky at 454 nm; Radiance, sky at 455 nm; Radiance, sky at 456 nm; Radiance, sky at 457 nm; Radiance, sky at 458 nm; Radiance, sky at 459 nm; Radiance, sky at 460 nm; Radiance, sky at 461 nm; Radiance, sky at 462 nm; Radiance, sky at 463 nm; Radiance, sky at 464 nm; Radiance, sky at 465 nm; Radiance, sky at 466 nm; Radiance, sky at 467 nm; Radiance, sky at 468 nm; Radiance, sky at 469 nm; Radiance, sky at 470 nm; Radiance, sky at 471 nm; Radiance, sky at 472 nm; Radiance, sky at 473 nm; Radiance, sky at 474 nm; Radiance, sky at 475 nm; Radiance, sky at 476 nm; Radiance, sky at 477 nm; Radiance, sky at 478 nm; Radiance, sky at 479 nm; Radiance, sky at 480 nm; Radiance, sky at 481 nm; Radiance, sky at 482 nm; Radiance, sky at 483 nm; Radiance, sky at 484 nm; Radiance, sky at 485 nm; Radiance, sky at 486 nm; Radiance, sky at 487 nm; Radiance, sky at 488 nm; Radiance, sky at 489 nm; Radiance, sky at 490 nm; Radiance, sky at 491 nm; Radiance, sky at 492 nm; Radiance, sky at 493 nm; Radiance, sky at 494 nm; Radiance, sky at 495 nm; Radiance, sky at 496 nm; Radiance, sky at 497 nm; Radiance, sky at 498 nm; Radiance, sky at 499 nm; Radiance, sky at 500 nm; Radiance, sky at 501 nm; Radiance, sky at 502 nm; Radiance, sky at 503 nm; Radiance, sky at 504 nm; Radiance, sky at 505 nm; Radiance, sky at 506 nm; Radiance, sky at 507 nm; Radiance, sky at 508 nm; Radiance, sky at 509 nm; Radiance, sky at 510 nm; Radiance, sky at 511 nm; Radiance, sky at 512 nm; Radiance, sky at 513 nm; Radiance, sky at 514 nm; Radiance, sky at 515 nm; Radiance, sky at 516 nm; Radiance, sky at 517 nm; Radiance, sky at 518 nm; Radiance, sky at 519 nm; Radiance, sky at 520 nm; Radiance, sky at 521 nm; Radiance, sky at 522 nm; Radiance, sky at 523 nm; Radiance, sky at 524 nm; Radiance, sky at 525 nm; Radiance, sky at 526 nm; Radiance, sky at 527 nm; Radiance, sky at 528 nm; Radiance, sky at 529 nm; Radiance, sky at 530 nm; Radiance, sky at 531 nm; Radiance, sky at 532 nm; Radiance, sky at 533 nm; Radiance, sky at 534 nm; Radiance, sky at 535 nm; Radiance, sky at 536 nm; Radiance, sky at 537 nm; Radiance, sky at 538 nm; Radiance, sky at 539 nm; Radiance, sky at 540 nm; Radiance, sky at 541 nm; Radiance, sky at 542 nm; Radiance, sky at 543 nm; Radiance, sky at 544 nm; Radiance, sky at 545 nm; Radiance, sky at 546 nm; Radiance, sky at 547 nm; Radiance, sky at 548 nm; Radiance, sky at 549 nm; Radiance, sky at 550 nm; Radiance, sky at 551 nm; Radiance, sky at 552 nm; Radiance, sky at 553 nm; Radiance, sky at 554 nm; Radiance, sky at 555 nm; Radiance, sky at 556 nm; Radiance, sky at 557 nm; Radiance, sky at 558 nm; Radiance, sky at 559 nm; Radiance, sky at 560 nm; Radiance, sky at 561 nm; Radiance, sky at 562 nm; Radiance, sky at 563 nm; Radiance, sky at 564 nm; Radiance, sky at 565 nm; Radiance, sky at 566 nm; Radiance, sky at 567 nm; Radiance, sky at 568 nm; Radiance, sky at 569 nm; Radiance, sky at 570 nm; Radiance, sky at 571 nm; Radiance, sky at 572 nm; Radiance, sky at 573 nm; Radiance, sky at 574 nm; Radiance, sky at 575 nm; Radiance, sky at 576 nm; Radiance, sky at 577 nm; Radiance, sky at 578 nm; Radiance, sky at 579 nm; Radiance, sky at 580 nm; Radiance, sky at 581 nm; Radiance, sky at 582 nm; Radiance, sky at 583 nm; Radiance, sky at 584 nm; Radiance, sky at 585 nm; Radiance, sky at 586 nm; Radiance, sky at 587 nm; Radiance, sky at 588 nm; Radiance, sky at 589 nm; Radiance, sky at 590 nm; Radiance, sky at 591 nm; Radiance, sky at 592 nm; Radiance, sky at 593 nm; Radiance, sky at 594 nm; Radiance, sky at 595 nm; Radiance, sky at 596 nm; Radiance, sky at 597 nm; Radiance, sky at 598 nm; Radiance, sky at 599 nm; Radiance, sky at 600 nm; Radiance, sky at 601 nm; Radiance, sky at 602 nm; Radiance, sky at 603 nm; Radiance, sky at 604 nm; Radiance, sky at 605 nm; Radiance, sky at 606 nm; Radiance, sky at 607 nm; Radiance, sky at 608 nm; Radiance, sky at 609 nm; Radiance, sky at 610 nm; Radiance, sky at 611 nm; Radiance, sky at 612 nm; Radiance, sky at 613 nm; Radiance, sky at 614 nm; Radiance, sky at 615 nm; Radiance, sky at 616 nm; Radiance, sky at 617 nm; Radiance, sky at 618 nm; Radiance, sky at 619 nm; Radiance, sky at 620 nm; Radiance, sky at 621 nm; Radiance, sky at 622 nm; Radiance, sky at 623 nm; Radiance, sky at 624 nm; Radiance, sky at 625 nm; Radiance, sky at 626 nm; Radiance, sky at 627 nm; Radiance, sky at 628 nm; Radiance, sky at 629 nm; Radiance, sky at 630 nm; Radiance, sky at 631 nm; Radiance, sky
    Type: Dataset
    Format: text/tab-separated-values, 860152 data points
    Location Call Number Expected Availability
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  • 91
    Publication Date: 2024-06-27
    Description: Temperature, salinity and oxygen are measured using sediment traps. The particle interceptor traps were deployed six times (T1, T2, T3, T4, T6, T7) at different locations off Peru (12.0°S-14.6°S and 77.3°W-78.6°W) during the RV METEOR cruises M136 and M138 at four times in April and two times in June 2017.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; DEPTH, water; Event label; M136; M136_Trap1; M136_Trap2; M136_Trap3; M136_Trap4; M138; M138_Trap6; M138_Trap7; Meteor (1986); Oxygen; Salinity; Sample code/label; Sediment trap; SFB754; Temperature, water; Trap 1; Trap 2; Trap 3; Trap 4; Trap 6; Trap 7
    Type: Dataset
    Format: text/tab-separated-values, 14228 data points
    Location Call Number Expected Availability
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  • 92
    Publication Date: 2024-06-27
    Description: Zooplankton distribution in the OMZ. The particle interceptor traps were deployed six times (T1, T2, T3, T4, T6, T7) at different locations off Peru (12.0°S-14.6°S and 77.3°W-78.6°W) during the RV METEOR cruises M136 and M138 at four times in April and two times in June 2017.
    Keywords: Abundance per volume; Biomass as carbon; Climate - Biogeochemistry Interactions in the Tropical Ocean; DATE/TIME; Depth, bottom/max; Depth, top/min; Euphausiacea; Euphausiacea, biomass as dry weight; Event label; LATITUDE; LONGITUDE; M138; M138_898-5; M138_898-9; M138_906-11; M138_906-3; Meteor (1986); MSN; Multiple opening/closing net; Sample code/label; SFB754
    Type: Dataset
    Format: text/tab-separated-values, 140 data points
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  • 93
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_4-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 34367 data points
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  • 94
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_3-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 34149 data points
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  • 95
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_22-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 35163 data points
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  • 96
    Publication Date: 2024-06-27
    Description: The METEOR expedition M188 SONETT II, conducted in the southeast Atlantic, represents a collaborative initiative within the TRR181 framework. It brings together various observational projects with the goal of integrating diverse process studies to observe multiple energy compartments. This cruise coincided with the 'fast-sampling' (CalVal) phase of the Surface Water and Ocean Topography (SWOT) satellite mission. During the expedition, a total of 30 Hereon Surface Drifters were deployed.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Eastern South Atlantic; Energy Transfers in Atmosphere and Ocean; Helmholtz_ChangingEarth; LATITUDE; LONGITUDE; M188; M188_5-1; Meteor (1986); Sample code/label; SFB181; SONETT II
    Type: Dataset
    Format: text/tab-separated-values, 35265 data points
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  • 97
    Publication Date: 2024-06-27
    Description: Abstract
    Description: The data comprises time series from three automatic meteorological and snow-hydrological stations situated in the Rofental (1891–3772 m a.s.l., Ötztal Alps, Austria). The recordings have been collected from Jan 2017 to Aug 2023. Some data sets represent continuations of time series at existing locations, others come from new installations complementing the scientific monitoring infrastructure in the research catchment. The stations are situated at 2737, 2805, and 2919 m a.s.l. and include automatic measurements of meteorological (temperature, precipitation, humidity, wind speed, and radiation fluxes) and snow-hydrological variables (snow depth, snow water equivalent, volumetric solid and liquid water content, snow density, layered snow temperature profiles, snow surface temperature, and snow drift). The data are sampled by fully automatic weather stations (AWS). The data retrieved by the sensors is stored on a logger in 10 min. temporal resolution. The data is continuously transferred by GSM to a server. The data processing consists of transfer of the raw data from the logger to a data server, basic processing steps (e.g., temperature correction long-wave radiation, decumulating precipitation measurements), and a semi-automatic correction for erroneous values.
    Keywords: meteorological stations ; snow-hydrological measurements ; Alpine catchment ; EARTH SCIENCE 〉 ATMOSPHERE ; EARTH SCIENCE 〉 CRYOSPHERE 〉 SNOW/ICE ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 SNOW/ICE ; In Situ/Laboratory Instruments
    Type: Dataset , Dataset
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  • 98
    Publication Date: 2024-06-27
    Description: Abstract
    Description: The here referenced dataset provides eventbased Distributed Acoustic Sensing (DAS) recordings made with an approximately 22 km long dark telecommunication fiber lying in urban Potsdam and surroundings. For each of 164 M〉=5 earthquakes occurring in February 2023 and listed by the USGS, one hour of data is provided starting with the event's origin time. Additionally, the whole day of February 14 is provided in hourly files. The data was recorded in the frame of the global DAS month, an initiative to collaboratively record and share simultaneously recorded DAS data from all over the world (https://www.norsar.no/in-focus/global-das-monitoring-month-february-2023). DAS is an emerging technology increasingly used by seismologists to convert kilometer long optical fibers into seismic sensors.
    Keywords: Distributed daynamic strain sensing ; Distributed Acoustic Sensing ; DAS ; teleseismic earthquakes ; dark fiber ; telecommunication fiber ; DAS-month ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 SEISMIC PROFILE 〉 SEISMIC BODY WAVES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 SEISMIC PROFILE 〉 SEISMIC SURFACE WAVES
    Type: Dataset , Dataset
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  • 99
    Publication Date: 2024-06-27
    Description: Neues Konzept soll den Meeresschutz in Kiel voranbringen - Expertin Nicole Walter erläutert die Grundzüge - Mitmach-Angebot am Samstag
    Type: Newspaper report , NonPeerReviewed
    Format: text
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  • 100
    Publication Date: 2024-06-27
    Description: Ob Delfine, Seepferdchen oder Schildkröten - in Nord- und Ostsee tummeln sich außergewöhnliche Meeresgäste
    Type: Newspaper report , NonPeerReviewed
    Format: text
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