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  • 21
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    Convoluted remote sensing reflectance obtained from spectral underwater upwelling radiance and solar downwelling irradiance measurements during POLARSTERN cruise ARK-XXVI/3 (PS78) (2018)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2023-03-16
    Keywords: Arctic Ocean; ARK-XXVI/3; DATE/TIME; DEPTH, water; Elevation of event; Event label; FRAM; FRontiers in Arctic marine Monitoring; Laptev Sea; Latitude of event; Longitude of event; Polarstern; PS78/216-2; PS78/218-3; PS78/224-3; PS78/226-2; PS78/227-3; PS78/230-3; PS78/235-3; PS78/242-2; PS78/245-4; PS78/259-2; PS78/262-2; PS78/265-2; PS78/270-3; PS78/272-1; PS78/276-2; PS78/280-2; PS78/300-2; PS78 TransArc; RAMSES; RAMSES-ACC-VIS hyperspectral radiometer and RAMSES-ARC hyperspectral radiometer, TriOS; RAMSES hyperspectral radiometer; Remote sensing reflectance at 350 nm; Remote sensing reflectance at 351 nm; Remote sensing reflectance at 352 nm; Remote sensing reflectance at 353 nm; Remote sensing reflectance at 354 nm; Remote sensing reflectance at 355 nm; Remote sensing reflectance at 356 nm; Remote sensing reflectance at 357 nm; Remote sensing reflectance at 358 nm; Remote sensing reflectance at 359 nm; Remote sensing reflectance at 360 nm; Remote sensing reflectance at 361 nm; Remote sensing reflectance at 362 nm; Remote sensing reflectance at 363 nm; Remote sensing reflectance at 364 nm; Remote sensing reflectance at 365 nm; Remote sensing reflectance at 366 nm; Remote sensing reflectance at 367 nm; Remote sensing reflectance at 368 nm; Remote sensing reflectance at 369 nm; Remote sensing reflectance at 370 nm; Remote sensing reflectance at 371 nm; Remote sensing reflectance at 372 nm; Remote sensing reflectance at 373 nm; Remote sensing reflectance at 374 nm; Remote sensing reflectance at 375 nm; Remote sensing reflectance at 376 nm; Remote sensing reflectance at 377 nm; Remote sensing reflectance at 378 nm; Remote sensing reflectance at 379 nm; Remote sensing reflectance at 380 nm; Remote sensing reflectance at 381 nm; Remote sensing reflectance at 382 nm; Remote sensing reflectance at 383 nm; Remote sensing reflectance at 384 nm; Remote sensing reflectance at 385 nm; Remote sensing reflectance at 386 nm; Remote sensing reflectance at 387 nm; Remote sensing reflectance at 388 nm; Remote sensing reflectance at 389 nm; Remote sensing reflectance at 390 nm; Remote sensing reflectance at 391 nm; Remote sensing reflectance at 392 nm; Remote sensing reflectance at 393 nm; Remote sensing reflectance at 394 nm; Remote sensing reflectance at 395 nm; Remote sensing reflectance at 396 nm; Remote sensing reflectance at 397 nm; Remote sensing reflectance at 398 nm; Remote sensing reflectance at 399 nm; Remote sensing reflectance at 400 nm; Remote sensing reflectance at 401 nm; Remote sensing reflectance at 402 nm; Remote sensing reflectance at 403 nm; Remote sensing reflectance at 404 nm; Remote sensing reflectance at 405 nm; Remote sensing reflectance at 406 nm; Remote sensing reflectance at 407 nm; Remote sensing reflectance at 408 nm; Remote sensing reflectance at 409 nm; Remote sensing reflectance at 410 nm; Remote sensing reflectance at 411 nm; Remote sensing reflectance at 412 nm; Remote sensing reflectance at 413 nm; Remote sensing reflectance at 414 nm; Remote sensing reflectance at 415 nm; Remote sensing reflectance at 416 nm; Remote sensing reflectance at 417 nm; Remote sensing reflectance at 418 nm; Remote sensing reflectance at 419 nm; Remote sensing reflectance at 420 nm; Remote sensing reflectance at 421 nm; Remote sensing reflectance at 422 nm; Remote sensing reflectance at 423 nm; Remote sensing reflectance at 424 nm; Remote sensing reflectance at 425 nm; Remote sensing reflectance at 426 nm; Remote sensing reflectance at 427 nm; Remote sensing reflectance at 428 nm; Remote sensing reflectance at 429 nm; Remote sensing reflectance at 430 nm; Remote sensing reflectance at 431 nm; Remote sensing reflectance at 432 nm; Remote sensing reflectance at 433 nm; Remote sensing reflectance at 434 nm; Remote sensing reflectance at 435 nm; Remote sensing reflectance at 436 nm; Remote sensing reflectance at 437 nm; Remote sensing reflectance at 438 nm; Remote sensing reflectance at 439 nm; Remote sensing reflectance at 440 nm; Remote sensing reflectance at 441 nm; Remote sensing reflectance at 442 nm; Remote sensing reflectance at 443 nm; Remote sensing reflectance at 444 nm; Remote sensing reflectance at 445 nm; Remote sensing reflectance at 446 nm; Remote sensing reflectance at 447 nm; Remote sensing reflectance at 448 nm; Remote sensing reflectance at 449 nm; Remote sensing reflectance at 450 nm; Remote sensing reflectance at 451 nm; Remote sensing reflectance at 452 nm; Remote sensing reflectance at 453 nm; Remote sensing reflectance at 454 nm; Remote sensing reflectance at 455 nm; Remote sensing reflectance at 456 nm; Remote sensing reflectance at 457 nm; Remote sensing reflectance at 458 nm; Remote sensing reflectance at 459 nm; Remote sensing reflectance at 460 nm; Remote sensing reflectance at 461 nm; Remote sensing reflectance at 462 nm; Remote sensing reflectance at 463 nm; Remote sensing reflectance at 464 nm; Remote sensing reflectance at 465 nm; Remote sensing reflectance at 466 nm; Remote sensing reflectance at 467 nm; Remote sensing reflectance at 468 nm; Remote sensing reflectance at 469 nm; Remote sensing reflectance at 470 nm; Remote sensing reflectance at 471 nm; Remote sensing reflectance at 472 nm; Remote sensing reflectance at 473 nm; Remote sensing reflectance at 474 nm; Remote sensing reflectance at 475 nm; Remote sensing reflectance at 476 nm; Remote sensing reflectance at 477 nm; Remote sensing reflectance at 478 nm; Remote sensing reflectance at 479 nm; Remote sensing reflectance at 480 nm; Remote sensing reflectance at 481 nm; Remote sensing reflectance at 482 nm; Remote sensing reflectance at 483 nm; Remote sensing reflectance at 484 nm; Remote sensing reflectance at 485 nm; Remote sensing reflectance at 486 nm; Remote sensing reflectance at 487 nm; Remote sensing reflectance at 488 nm; Remote sensing reflectance at 489 nm; Remote sensing reflectance at 490 nm; Remote sensing reflectance at 491 nm; Remote sensing reflectance at 492 nm; Remote sensing reflectance at 493 nm; Remote sensing reflectance at 494 nm; Remote sensing reflectance at 495 nm; Remote sensing reflectance at 496 nm; Remote sensing reflectance at 497 nm; Remote sensing reflectance at 498 nm; Remote sensing reflectance at 499 nm; Remote sensing reflectance at 500 nm; Remote sensing reflectance at 501 nm; Remote sensing reflectance at 502 nm; Remote sensing reflectance at 503 nm; Remote sensing reflectance at 504 nm; Remote sensing reflectance at 505 nm; Remote sensing reflectance at 506 nm; Remote sensing reflectance at 507 nm; Remote sensing reflectance at 508 nm; Remote sensing reflectance at 509 nm; Remote sensing reflectance at 510 nm; Remote sensing reflectance at 511 nm; Remote sensing reflectance at 512 nm; Remote sensing reflectance at 513 nm; Remote sensing reflectance at 514 nm; Remote sensing reflectance at 515 nm; Remote sensing reflectance at 516 nm; Remote sensing reflectance at 517 nm; Remote sensing reflectance at 518 nm; Remote sensing reflectance at 519 nm; Remote sensing reflectance at 520 nm; Remote sensing reflectance at 521 nm; Remote sensing reflectance at 522 nm; Remote sensing reflectance at 523 nm; Remote sensing reflectance at 524 nm; Remote sensing reflectance at 525 nm; Remote sensing reflectance at 526 nm; Remote sensing reflectance at 527 nm; Remote sensing reflectance at 528 nm; Remote sensing reflectance at 529 nm; Remote sensing reflectance at 530 nm; Remote sensing reflectance at 531 nm; Remote sensing reflectance at 532 nm; Remote sensing reflectance at 533 nm; Remote sensing reflectance at 534 nm; Remote sensing reflectance at 535 nm; Remote sensing reflectance at 536 nm; Remote sensing reflectance at 537 nm; Remote sensing reflectance at 538 nm; Remote sensing reflectance at 539 nm; Remote sensing reflectance at 540 nm; Remote sensing reflectance at 541 nm; Remote sensing reflectance at 542 nm; Remote sensing reflectance at 543 nm; Remote sensing reflectance at 544 nm; Remote sensing reflectance at 545 nm; Remote
    Type: Dataset
    Format: text/tab-separated-values, 6817 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 22
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    Absorption coefficient spectra of colored dissolved organic matter during POLARSTERN cruise ARK-XXVI/3 (PS78, TRANSARC) (2018)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Keywords: Absorption coefficient, colored dissolved organic matter at given wavelength; Arctic Ocean; ARK-XXVI/3; AWI_BioOce; Barents Sea; Biological Oceanography @ AWI; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; FRAM; FRontiers in Arctic marine Monitoring; ICE; Ice station; Ice station #8; Laptev Sea; Latitude of event; Longitude of event; Polarstern; PS78/187-1; PS78/188-2; PS78/195-1; PS78/198-2; PS78/201-1; PS78/202-1; PS78/203-2; PS78/205-1; PS78/207-2; PS78/209-2; PS78/210-1; PS78/212-2; PS78/213-1; PS78/214-1; PS78/216-1; PS78/218-2; PS78/220-1; PS78/221-1; PS78/222-2; PS78/224-1; PS78/225-1; PS78/226-1; PS78/227-2; PS78/228-1; PS78/229-1; PS78/230-1; PS78/232-1; PS78/233-1; PS78/234-1; PS78/235-2; PS78/236-1; PS78/239-2; PS78/240-1; PS78/242-1; PS78/243-1; PS78/245-2; PS78/246-1; PS78/247-1; PS78/248-1; PS78/250-2; PS78/251-1; PS78/252-1; PS78/253-1; PS78/257-1; PS78/259-1; PS78/260-1; PS78/267-2; PS78/270-1; PS78/271-1; PS78/272-2; PS78/274-1; PS78/276-1; PS78/277-1; PS78/280-1; PS78/283-1; PS78/285-2; PS78/289-1; PS78/290-1; PS78/295-1; PS78/298-1; PS78/300-1; PS78/302-1; PS78/304-1; PS78/308-1; PS78 TransArc; Sample code/label
    Type: Dataset
    Format: text/tab-separated-values, 19032 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 23
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    Absorption coefficient spectra of non-algal particles during POLARSTERN cruise ARK-XXVI/3 (PS78, TRANSARC) (2018)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Keywords: Absorption coefficient, 300 nm; Absorption coefficient, 301 nm; Absorption coefficient, 302 nm; Absorption coefficient, 303 nm; Absorption coefficient, 304 nm; Absorption coefficient, 305 nm; Absorption coefficient, 306 nm; Absorption coefficient, 307 nm; Absorption coefficient, 308 nm; Absorption coefficient, 309 nm; Absorption coefficient, 310 nm; Absorption coefficient, 311 nm; Absorption coefficient, 312 nm; Absorption coefficient, 313 nm; Absorption coefficient, 314 nm; Absorption coefficient, 315 nm; Absorption coefficient, 316 nm; Absorption coefficient, 317 nm; Absorption coefficient, 318 nm; Absorption coefficient, 319 nm; Absorption coefficient, 320 nm; Absorption coefficient, 321 nm; Absorption coefficient, 322 nm; Absorption coefficient, 323 nm; Absorption coefficient, 324 nm; Absorption coefficient, 325 nm; Absorption coefficient, 326 nm; Absorption coefficient, 327 nm; Absorption coefficient, 328 nm; Absorption coefficient, 329 nm; Absorption coefficient, 330 nm; Absorption coefficient, 331 nm; Absorption coefficient, 332 nm; Absorption coefficient, 333 nm; Absorption coefficient, 334 nm; Absorption coefficient, 335 nm; Absorption coefficient, 336 nm; Absorption coefficient, 337 nm; Absorption coefficient, 338 nm; Absorption coefficient, 339 nm; Absorption coefficient, 340 nm; Absorption coefficient, 341 nm; Absorption coefficient, 342 nm; Absorption coefficient, 343 nm; Absorption coefficient, 344 nm; Absorption coefficient, 345 nm; Absorption coefficient, 346 nm; Absorption coefficient, 347 nm; Absorption coefficient, 348 nm; Absorption coefficient, 349 nm; Absorption coefficient, 350 nm; Absorption coefficient, 351 nm; Absorption coefficient, 352 nm; Absorption coefficient, 353 nm; Absorption coefficient, 354 nm; Absorption coefficient, 355 nm; Absorption coefficient, 356 nm; Absorption coefficient, 357 nm; Absorption coefficient, 358 nm; Absorption coefficient, 359 nm; Absorption coefficient, 360 nm; Absorption coefficient, 361 nm; Absorption coefficient, 362 nm; Absorption coefficient, 363 nm; Absorption coefficient, 364 nm; Absorption coefficient, 365 nm; Absorption coefficient, 366 nm; Absorption coefficient, 367 nm; Absorption coefficient, 368 nm; Absorption coefficient, 369 nm; Absorption coefficient, 370 nm; Absorption coefficient, 371 nm; Absorption coefficient, 372 nm; Absorption coefficient, 373 nm; Absorption coefficient, 374 nm; Absorption coefficient, 375 nm; Absorption coefficient, 376 nm; Absorption coefficient, 377 nm; Absorption coefficient, 378 nm; Absorption coefficient, 379 nm; Absorption coefficient, 380 nm; Absorption coefficient, 381 nm; Absorption coefficient, 382 nm; Absorption coefficient, 383 nm; Absorption coefficient, 384 nm; Absorption coefficient, 385 nm; Absorption coefficient, 386 nm; Absorption coefficient, 387 nm; Absorption coefficient, 388 nm; Absorption coefficient, 389 nm; Absorption coefficient, 390 nm; Absorption coefficient, 391 nm; Absorption coefficient, 392 nm; Absorption coefficient, 393 nm; Absorption coefficient, 394 nm; Absorption coefficient, 395 nm; Absorption coefficient, 396 nm; Absorption coefficient, 397 nm; Absorption coefficient, 398 nm; Absorption coefficient, 399 nm; Absorption coefficient, 400 nm; Absorption coefficient, 401 nm; Absorption coefficient, 402 nm; Absorption coefficient, 403 nm; Absorption coefficient, 404 nm; Absorption coefficient, 405 nm; Absorption coefficient, 406 nm; Absorption coefficient, 407 nm; Absorption coefficient, 408 nm; Absorption coefficient, 409 nm; Absorption coefficient, 410 nm; Absorption coefficient, 411 nm; Absorption coefficient, 412 nm; Absorption coefficient, 413 nm; Absorption coefficient, 414 nm; Absorption coefficient, 415 nm; Absorption coefficient, 416 nm; Absorption coefficient, 417 nm; Absorption coefficient, 418 nm; Absorption coefficient, 419 nm; Absorption coefficient, 420 nm; Absorption coefficient, 421 nm; Absorption coefficient, 422 nm; Absorption coefficient, 423 nm; Absorption coefficient, 424 nm; Absorption coefficient, 425 nm; Absorption coefficient, 426 nm; Absorption coefficient, 427 nm; Absorption coefficient, 428 nm; Absorption coefficient, 429 nm; Absorption coefficient, 430 nm; Absorption coefficient, 431 nm; Absorption coefficient, 432 nm; Absorption coefficient, 433 nm; Absorption coefficient, 434 nm; Absorption coefficient, 435 nm; Absorption coefficient, 436 nm; Absorption coefficient, 437 nm; Absorption coefficient, 438 nm; Absorption coefficient, 439 nm; Absorption coefficient, 440 nm; Absorption coefficient, 441 nm; Absorption coefficient, 442 nm; Absorption coefficient, 443 nm; Absorption coefficient, 444 nm; Absorption coefficient, 445 nm; Absorption coefficient, 446 nm; Absorption coefficient, 447 nm; Absorption coefficient, 448 nm; Absorption coefficient, 449 nm; Absorption coefficient, 450 nm; Absorption coefficient, 451 nm; Absorption coefficient, 452 nm; Absorption coefficient, 453 nm; Absorption coefficient, 454 nm; Absorption coefficient, 455 nm; Absorption coefficient, 456 nm; Absorption coefficient, 457 nm; Absorption coefficient, 458 nm; Absorption coefficient, 459 nm; Absorption coefficient, 460 nm; Absorption coefficient, 461 nm; Absorption coefficient, 462 nm; Absorption coefficient, 463 nm; Absorption coefficient, 464 nm; Absorption coefficient, 465 nm; Absorption coefficient, 466 nm; Absorption coefficient, 467 nm; Absorption coefficient, 468 nm; Absorption coefficient, 469 nm; Absorption coefficient, 470 nm; Absorption coefficient, 471 nm; Absorption coefficient, 472 nm; Absorption coefficient, 473 nm; Absorption coefficient, 474 nm; Absorption coefficient, 475 nm; Absorption coefficient, 476 nm; Absorption coefficient, 477 nm; Absorption coefficient, 478 nm; Absorption coefficient, 479 nm; Absorption coefficient, 480 nm; Absorption coefficient, 481 nm; Absorption coefficient, 482 nm; Absorption coefficient, 483 nm; Absorption coefficient, 484 nm; Absorption coefficient, 485 nm; Absorption coefficient, 486 nm; Absorption coefficient, 487 nm; Absorption coefficient, 488 nm; Absorption coefficient, 489 nm; Absorption coefficient, 490 nm; Absorption coefficient, 491 nm; Absorption coefficient, 492 nm; Absorption coefficient, 493 nm; Absorption coefficient, 494 nm; Absorption coefficient, 495 nm; Absorption coefficient, 496 nm; Absorption coefficient, 497 nm; Absorption coefficient, 498 nm; Absorption coefficient, 499 nm; Absorption coefficient, 500 nm; Absorption coefficient, 501 nm; Absorption coefficient, 502 nm; Absorption coefficient, 503 nm; Absorption coefficient, 504 nm; Absorption coefficient, 505 nm; Absorption coefficient, 506 nm; Absorption coefficient, 507 nm; Absorption coefficient, 508 nm; Absorption coefficient, 509 nm; Absorption coefficient, 510 nm; Absorption coefficient, 511 nm; Absorption coefficient, 512 nm; Absorption coefficient, 513 nm; Absorption coefficient, 514 nm; Absorption coefficient, 515 nm; Absorption coefficient, 516 nm; Absorption coefficient, 517 nm; Absorption coefficient, 518 nm; Absorption coefficient, 519 nm; Absorption coefficient, 520 nm; Absorption coefficient, 521 nm; Absorption coefficient, 522 nm; Absorption coefficient, 523 nm; Absorption coefficient, 524 nm; Absorption coefficient, 525 nm; Absorption coefficient, 526 nm; Absorption coefficient, 527 nm; Absorption coefficient, 528 nm; Absorption coefficient, 529 nm; Absorption coefficient, 530 nm; Absorption coefficient, 531 nm; Absorption coefficient, 532 nm; Absorption coefficient, 533 nm; Absorption coefficient, 534 nm; Absorption coefficient, 535 nm; Absorption coefficient, 536 nm; Absorption coefficient, 537 nm; Absorption coefficient, 538 nm; Absorption coefficient, 539 nm; Absorption coefficient, 540 nm; Absorption coefficient, 541 nm; Absorption coefficient, 542 nm; Absorption coefficient, 543 nm; Absorption coefficient, 544 nm; Absorption coefficient, 545 nm; Absorption coefficient, 546 nm; Absorption coefficient, 547 nm; Absorption coefficient, 548 nm; Absorption coefficient, 549 nm;
    Type: Dataset
    Format: text/tab-separated-values, 123648 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 24
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    Non-water absorption of colored dissolved organic matter, phytoplanktonn and non-algal particles during POLARSTERN cruise ARK-XXVI/3 (TRANSARC ) (2016)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Keywords: Absorption coefficient, 440 nm; Absorption coefficient, colored dissolved organic matter at 350 nm; Absorption coefficient, colored dissolved organic matter at 375 nm; Absorption coefficient, colored dissolved organic matter at 440 nm; Arctic Ocean; ARK-XXVI/3; AWI_BioOce; Barents Sea; Biological Oceanography @ AWI; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Fluorescence spectrometer, AquaLog, HORIBA JobinYvon; FRAM; FRontiers in Arctic marine Monitoring; Laptev Sea; Latitude of event; Longitude of event; Polarstern; PS78/187-1; PS78/188-2; PS78/193-2; PS78/195-1; PS78/196-2; PS78/197-1; PS78/198-2; PS78/200-1; PS78/201-1; PS78/202-1; PS78/203-2; PS78/205-1; PS78/207-2; PS78/209-2; PS78/210-1; PS78/212-2; PS78/213-1; PS78/214-1; PS78/216-1; PS78/218-2; PS78/220-1; PS78/221-1; PS78/222-2; PS78/223-1; PS78/224-1; PS78/225-1; PS78/226-1; PS78/227-2; PS78/228-1; PS78/229-1; PS78/230-2; PS78/232-1; PS78/233-1; PS78/234-1; PS78/235-2; PS78/236-1; PS78/239-2; PS78/240-1; PS78/242-1; PS78/243-1; PS78/245-2; PS78/246-1; PS78/247-1; PS78/248-1; PS78/250-2; PS78/251-1; PS78/252-1; PS78/253-1; PS78/257-1; PS78/259-1; PS78/260-1; PS78/262-1; PS78/265-1; PS78/267-2; PS78/269-1; PS78/270-1; PS78/271-1; PS78/272-2; PS78/274-1; PS78/276-1; PS78/277-1; PS78/280-1; PS78/283-1; PS78/285-2; PS78/289-1; PS78/290-1; PS78/295-1; PS78/298-1; PS78/300-1; PS78/302-1; PS78/304-1; PS78/308-1; PS78 TransArc; Spectrophotometer UV/VIS (Cary 4000, Varian Inc.)
    Type: Dataset
    Format: text/tab-separated-values, 1041 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 25
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    Spatial distribution patterns of ascidians (Ascidiacea: Tunicata) in combination with information on bathymetry, oceanography, chlorophyll-a, and sea-ice on the continental shelves off the northern Antarctic Peninsula during POLARSTERN cruise ANT-XXIX/3
    PANGAEA
    In:  Supplement to: Segelken-Voigt, Alexandra; Bracher, Astrid; Dorschel, Boris; Gutt, Julian; Huneke, Wilma; Link, Heike; Piepenburg, Dieter (2016): Spatial distribution patterns of ascidians (Ascidiacea: Tunicata) on the continental shelves off the northern Antarctic Peninsula. Polar Biology, 39(5), 863-879, https://doi.org/10.1007/s00300-016-1909-y
    Details
    Publication Date: 2023-05-12
    Description: Ascidians (Ascidiacea: Tunicata) are sessile suspension feeders that represent dominant epifaunal components of the Southern Ocean shelf benthos and play a significant role in the pelagic-benthic coupling. Here, we report the results of a first study on the relationship between the distribution patterns of eight common and/or abundant (putative) ascidian species, and environmental drivers in the waters off the northern Antarctic Peninsula. During RV Polarstern cruise XXIX/3 (PS81) in January-March 2013, we used seabed imaging surveys along 28 photographic transects of 2 km length each at water depths from 70 to 770 m in three regions (northwestern Weddell Sea, southern Bransfield Strait and southern Drake Passage), differing in their general environmental setting, primarily oceanographic characteristics and sea-ice dynamics, to comparatively analyze the spatial patterns in the abundance of the selected ascidians, reliably to be identified in the photographs, at three nested spatial scales. At a regional (100-km) scale, the ascidian assemblages of the Weddell Sea differed significantly from those of the other two regions, whereas at an intermediate 10-km scale no such differences were detected among habitat types (bank, upper slope, slope, deep/canyon) on the shelf and at the shelf break within each region. These spatial patterns were superimposed by a marked small-scale (10-m) patchiness of ascidian distribution within the 2-km-long transects. Among the environmental variables considered in our study, a combination of water-mass characteristics, sea-ice dynamics (approximated by 5-year averages in sea-ice cover in the region of or surrounding the photographic stations), as well as the seabed ruggedness, was identified as explaining best the distribution patterns of the ascidians.
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 26
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    Macro-epibenthic communities, bathymetry and enviromental information at the tip of the Antarctic Peninsula
    PANGAEA
    In:  Supplement to: Gutt, Julian; Alvaro, Maria Chiara; Barco, Andrea; Böhmer, Astrid; Bracher, Astrid; David, Bruno; De Ridder, Chantal; Dorschel, Boris; Eléaume, Marc; Janussen, Dorte; Kersken, Daniel; López-González, Pablo José; Martínez-Baraldés, Irene; Schröder, Michael; Segelken-Voigt, Alexandra; Teixidó, Núria (2016): Macroepibenthic communities at the tip of the Antarctic Peninsula, an ecological survey at different spatial scales. Polar Biology, 39(5), 829-849, https://doi.org/10.1007/s00300-015-1797-6
    Details
    Publication Date: 2023-05-12
    Description: The Southern Ocean ecosystem at the Antarctic Peninsula has steep natural environmental gradients, e.g. in terms of water masses and ice cover, and experiences regional above global average climate change. An ecological macroepibenthic survey was conducted in three ecoregions in the north-western Weddell Sea, on the continental shelf of the Antarctic Peninsula in the Bransfield Strait and on the shelf of the South Shetland Islands in the Drake Passage, defined by their environmental envelop. The aim was to improve the so far poor knowledge of the structure of this component of the Southern Ocean ecosystem and its ecological driving forces. It can also provide a baseline to assess the impact of ongoing climate change to the benthic diversity, functioning and ecosystem services. Different intermediate-scaled topographic features such as canyon systems including the corresponding topographically defined habitats 'bank', 'upper slope', 'slope' and 'canyon/deep' were sampled. In addition, the physical and biological environmental factors such as sea-ice cover, chlorophyll-a concentration, small-scale bottom topography and water masses were analysed. Catches by Agassiz trawl showed high among-station variability in biomass of 96 higher systematic groups including ecological key taxa. Large-scale patterns separating the three ecoregions from each other could be correlated with the two environmental factors, sea-ice and depth. Attribution to habitats only poorly explained benthic composition, and small-scale bottom topography did not explain such patterns at all. The large-scale factors, sea-ice and depth, might have caused large-scale differences in pelagic benthic coupling, whilst small-scale variability, also affecting larger scales, seemed to be predominantly driven by unknown physical drivers or biological interactions.
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 27
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    Phytoplankton pigment concentrations in the South Atlantic Ocean
    PANGAEA
    In:  Supplement to: Soppa, Mariana A; Hirata, Takafumi; Silva, Brenner; Dinter, Tilman; Peeken, Ilka; Wiegmann, Sonja; Bracher, Astrid (2014): Global retrieval of diatom abundance based on phytoplankton pigments and satellite data. Remote Sensing, 6(10), 10089-10106, https://doi.org/10.3390/rs61010089
    Details
    Publication Date: 2023-05-12
    Description: Diatoms are the major marine primary producers on the global scale and, recently, several methods have been developed to retrieve their abundance or dominance from satellite remote sensing data. In this work, we highlight the importance of the Southern Ocean (SO) in developing a global algorithm for diatom using an Abundance Based Approach (ABA). A large global in situ data set of phytoplankton pigments was compiled, particularly with more samples collected in the SO. We revised the ABA to take account of the information on the penetration depth (Zpd) and to improve the relationship between diatoms and total chlorophyll-a (TChla). The results showed that there is a distinct relationship between diatoms and TChla in the SO, and a new global model (ABAZpd) improved the estimation of diatoms abundance by 28% in the SO compared with the original ABA model. In addition, we developed a regional model for the SO which further improved the retrieval of diatoms by 17% compared with the global ABAZpd model. As a result, we found that diatom may be more abundant in the SO than previously thought. Linear trend analysis of diatom abundance using the regional model for the SO showed that there are statistically significant trends, both increasing and decreasing, in diatom abundance over the past eleven years in the region.
    Keywords: AWI; AWI_PhyOce; Physical Oceanography @ AWI
    Type: Dataset
    Format: application/zip, 10 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 28
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    Colored dissolved organic matter absorption by waters of central-eastern Arctic Ocean
    PANGAEA
    In:  Supplement to: Gonçalves-Araujo, Rafael; Rabe, Benjamin; Peeken, Ilka; Bracher, Astrid (2018): High colored dissolved organic matter (CDOM) absorption in surface waters of the central-eastern Arctic Ocean: Implications for biogeochemistry and ocean color algorithms. PLoS ONE, 13(1), e0190838, https://doi.org/10.1371/journal.pone.0190838
    Details
    Publication Date: 2023-05-12
    Description: As consequences of global warming sea-ice shrinking, permafrost thawing and changes in fresh water and terrestrial material export have already been reported in the Arctic environment. These processes impact light penetration and primary production. To reach a better understanding of the current status and to provide accurate forecasts Arctic biogeochemical and physical parameters need to be extensively monitored. In this sense, bio-optical properties are useful to be measured due to the applicability of optical instrumentation to autonomous platforms, including satellites. This study characterizes the non-water absorbers and their coupling to hydrographic conditions in the poorly sampled surface waters of the central and eastern Arctic Ocean. Over the entire sampled area colored dissolved organic matter (CDOM) dominates the light absorption in surface waters. The distribution of CDOM, phytoplankton and non-algal particles absorption reproduces the hydrographic variability in this region of the Arctic Ocean which suggests a subdivision into five major bio-optical provinces: Laptev Sea Shelf, Laptev Sea, Central Arctic/Transpolar Drift, Beaufort Gyre and Eurasian/Nansen Basin. Evaluating ocean color algorithms commonly applied in the Arctic Ocean shows that global and regionally tuned empirical algorithms provide poor chlorophyll-a (Chl-a) estimates. The semi-analytical algorithms Generalized Inherent Optical Property model (GIOP) and Garver-Siegel-Maritorena (GSM), on the other hand, provide robust estimates of Chl-a and absorption of colored matter. Applying GSM with modifications proposed for the western Arctic Ocean produced reliable information on the absorption by colored matter, and specifically by CDOM. These findings highlight that only semi-analytical ocean color algorithms are able to identify with low uncertainty the distribution of the different optical water constituents in these high CDOM absorbing waters. In addition, a clustering of the Arctic Ocean into bio-optical provinces will help to develop and then select province-specific ocean color algorithms.
    Keywords: FRAM; FRontiers in Arctic marine Monitoring
    Type: Dataset
    Format: application/zip, 9 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 29
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    Open Ocean and coastal phytoplankton communities of western Antarctic Peninsula and Drake Passage waters (2015)
    PANGAEA
    In:  Supplement to: Trimborn, Scarlett; Hoppe, Clara Jule Marie; Taylor, Bettina B; Bracher, Astrid; Hassler, Christel S (2015): Physiological characteristics of open ocean and coastal phytoplankton communities of Western Antarctic Peninsula and Drake Passage waters. Deep Sea Research Part I: Oceanographic Research Papers, 98, 115-124, https://doi.org/10.1016/j.dsr.2014.12.010
    Details
    Publication Date: 2023-04-05
    Description: Photophysiological processes as well as uptake characteristics of iron and inorganic carbon were studied in inshore phytoplankton assemblages of the Western Antarctic Peninsula (WAP) and offshore assemblages of the Drake Passage. Chlorophyll a concentrations and primary productivity decreased from in- to offshore waters. The inverse relationship between low maximum quantum yields of photochemistry in PSII (Fv/Fm) and large sizes of functional absorption cross sections (sigma PSII) in offshore communities indicated iron-limitation. Congruently, the negative correlation between Fv/Fm values and iron uptake rates across our sampling locations suggest an overall better iron uptake capacity in iron-limited pelagic phytoplankton communities. Highest iron uptake capacities could be related to relative abundances of the haptophyte Phaeocystis antarctica. As chlorophyll a-specific concentrations of humic-like substances were similarly high in offshore and inshore stations, we suggest humic-like substances may play an important role in iron chemistry in both coastal and pelagic phytoplankton assemblages. Regarding inorganic carbon uptake kinetics, the measured maximum short-term uptake rates (Vmax(CO2)) and apparent half-saturation constants (K1/2(CO2)) did not differ between offshore and inshore phytoplankton. Moreover, Vmax(CO2) and K1/2(CO2) did not exhibit any CO2-dependent trend over the natural pCO2 range from 237 to 507 µatm. K1/2(CO2) strongly varied among the sampled phytoplankton communities, ranging between 3.5 and 35.3 µmol/L CO2. While in many of the sampled phytoplankton communities, the operation of carbon-concentrating mechanisms (CCMs) was indicated by low K1/2(CO2) values relative to ambient CO2 concentrations, some coastal sites exhibited higher values, suggesting down-regulated CCMs. Overall, our results demonstrate a complex interplay between photophysiological processes, iron and carbon uptake of phytoplankton communities of the WAP and the Drake Passage.
    Keywords: AWI_PhyOce; Physical Oceanography @ AWI
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 30
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    Dissolved organic matter in the Lena River Delta Region, Siberia, Russia (2015)
    PANGAEA
    In:  Supplement to: Gonçalves-Araujo, Rafael; Stedmon, Colin A; Heim, Birgit; Dubinenkov, Ivan; Kraberg, Alexandra Claudia; Moiseev, Denis; Bracher, Astrid (2015): From fresh to marine waters: characterization and fate of dissolved organic matter in the Lena River delta region, Siberia. Frontiers in Marine Science, 2(108), 13 pp, https://doi.org/10.3389/fmars.2015.00108
    Details
    Publication Date: 2023-04-12
    Description: Connectivity between the terrestrial and marine environment in the Artic is changing as a result of climate change, influencing both freshwater budgets and the supply of carbon to the sea. This study characterizes the optical properties of dissolved organic matter (DOM) within the Lena Delta region and evaluates the behavior of DOM across the fresh water-marine gradient. Six fluorescent components (four humic-like; one marine humic-like; one protein-like) were identified by Parallel Factor Analysis (PARAFAC) with a clear dominance of allochthonous humic-like signals. Colored DOM (CDOM) and dissolved organic carbon (DOC) were highly correlated and had their distribution coupled with hydrographical conditions. Higher DOM concentration and degree of humification were associated with the low salinity waters of the Lena River. Values decreased towards the higher salinity Laptev Sea shelf waters. Results demonstrate different responses of DOM mixing in relation to the vertical structure of the water column, as reflecting the hydrographical dynamics in the region. Two mixing curves for DOM were apparent. In surface waters above the pycnocline there was a sharper decrease in DOM concentration in relation to salinity indicating removal. In the bottom water layer the DOM decrease within salinity was less. We propose there is a removal of DOM occurring primarily at the surface layer, which is likely driven by photodegradation and flocculation.
    Keywords: Absorption coefficient, 350 nm; Absorption coefficient, 443 nm; AWI Arctic Land Expedition; Biological index; Date/Time of event; DEPTH, water; Elevation of event; Event label; Fluorescence index; Fluorescence intensity, maximum, DOM; Humification index; Laptev Sea; Latitude of event; Lena2013; Longitude of event; MULT; Multiple investigations; Ratio; RU-Land_2013_Lena; Salinity; Specific ultraviolet absorbance normalized to DOC; Spectral slope of colored dissolved organic matter absorption; T1-1301; T1-1302; T1-1303; T1-1304; T1-1305; T1-1306; T1-1307; T1-3X-1; T4-1301; T4-1303; T4-1304; T4-1305; T5-1301; T5-1303; T5-1304; T6-1301; T6-1302; T6-1303; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1851 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
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