ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • 2020-2023  (11,258)
  • 2005-2009  (2,102,991)
Collection
Language
Years
Year
  • 1
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Hofgaard, Annika; Dalen, Linda; Hytteborn, Håkan (2009): Tree recruitment above the treeline and potential for climate-driven treeline change. Journal of Vegetation Science, 20(6), 1133-1144, https://doi.org/10.1111/j.1654-1103.2009.01114.x
    Publication Date: 2024-05-11
    Description: Questions: How do population structure and recruitment characteristics of Betula saplings beyond the treeline vary among climatic regions, and what is the potential for development into tree-sized individuals with interacting grazing pressure? Location: Scandes Mountains. Methods: Sapling characteristics of Betula pubescens subsp. tortuosa, their topographic position above the treeline, growth habitat and evidence of recent grazing was investigated in three areas with a long continuous grazing history, along a latitudinal gradient (62-69°N). Results: Saplings were common up to 100 m above the treeline in all areas. The northern areas were characterised by small (〈30 cm) and young (mean 14 years old) saplings in exposed micro-topographic locations unfavourable to long-term survival. In the southern area, broad height (2-183 cm) and age (4-95 years; mean 32 years) distributions were found in sheltered locations. Age declined with altitude in all areas. Sapling growth rate varied within and between areas, and the age x height interaction was significant only in the southern area. Growth rates decreased from south to north and indicated a considerable time required to reach tree size under prevailing conditions. Conclusions: Regional differences can be attributed to climatic differences, however, interacting biotic and abiotic factors such as micro-topography, climate and herbivory, mutually affect the characteristics of birch saplings. In view of the long time needed to reach tree size, the generally expected evident and fast treeline advance in response to climate warming may not be a likely short-term scenario. The sapling pool in the southern region possesses strongest potential for treeline advance.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Stramski, Dariusz; Reynolds, Rick A; Babin, Marcel; Kaczmarek, S; Lewis, Marlon R; Röttgers, Rüdiger; Sciandra, Antoine; Stramska, M; Twardowski, Michael S; Franz, B A; Claustre, Hervé (2008): Relationships between the surface concentration of particulate organic carbon and optical properties in the eastern South Pacific and eastern Atlantic Oceans. Biogeosciences, 5, 171-201, https://doi.org/10.5194/bg-5-171-2008
    Publication Date: 2024-05-11
    Description: We have examined several approaches for estimating the surface concentration of particulate organic carbon, POC, from optical measurements of spectral remote-sensing reflectance, Rrs(Lambda), using field data collected in tropical and subtropical waters of the eastern South Pacific and eastern Atlantic Oceans. These approaches include a direct empirical relationship between POC and the blue-to-green band ratio of reflectance, Rrs(Lambda B)/Rrs(555), and two-step algorithms that consist of relationships linking reflectance to an inherent optical property IOP (beam attenuation or backscattering coefficient) and POC to the IOP. We considered two-step empirical algorithms that exclusively include pairs of empirical relationships and two-step hybrid algorithms that consist of semianalytical models and empirical relationships. The surface POC in our data set ranges from about 10 mg/m**3 within the South Pacific Subtropical Gyre to 270 mg/m**3 in the Chilean upwelling area, and ancillary data suggest a considerable variation in the characteristics of particulate assemblages in the investigated waters. The POC algorithm based on the direct relationship between POC and Rrs(Lambda B)/Rrs(555) promises reasonably good performance in the vast areas of the open ocean covering different provinces from hyperoligotrophic and oligotrophic waters within subtropical gyres to eutrophic coastal upwelling regimes characteristic of eastern ocean boundaries. The best error statistics were found for power function fits to the data of POC vs. Rrs(443)/Rrs(555) and POC vs. Rrs(490)/Rrs(555). For our data set that includes over 50 data pairs, these relationships are characterized by the mean normalized bias of about 2% and the normalized root mean square error of about 20%. We recommend that these algorithms be implemented for routine processing of ocean color satellite data to produce maps of surface POC with the status of an evaluation data product for continued work on algorithm development and refinements. The two-step algorithms also deserve further attention because they can utilize various models for estimating IOPs from reflectance, offer advantages for developing an understanding of bio-optical variability underlying the algorithms, and provide flexibility for regional or seasonal parameterizations of the algorithms.
    Keywords: ANT-XXIII/1; Bay of Biscay; Canarias Sea; Celtic Sea; CT; CTD/Rosette; CTD-RO; English Channel; Light meter; LM; MSD; Multi Sensor Device; Polarstern; PS69; PS69/001-1; PS69/001-2; PS69/001-3; PS69/002-1; PS69/002-2; PS69/002-3; PS69/004-1; PS69/004-2; PS69/004-3; PS69/005-1; PS69/005-2; PS69/005-3; PS69/006-5; PS69/006-6; PS69/006-7; PS69/007-1; PS69/007-2; PS69/007-3; PS69/008-1; PS69/008-2; PS69/008-3; PS69/009-1; PS69/009-2; PS69/009-3; PS69/010-1; PS69/010-2; PS69/010-3; PS69/011-4; PS69/011-5; PS69/012-1; PS69/012-2; PS69/012-3; PS69/013-1; PS69/013-2; PS69/013-3; PS69/014-2; PS69/014-6; PS69/014-7; PS69/014-8; PS69/015-1; PS69/015-2; PS69/015-3; PS69/016-1; PS69/016-2; PS69/016-3; PS69/017-1; PS69/017-2; PS69/017-3; PS69/018-2; PS69/018-5; PS69/018-6; PS69/019-1; PS69/019-2; PS69/019-3; PS69/020-1; PS69/020-2; PS69/020-3; PS69/021-2; PS69/021-4; PS69/021-7; PS69/021-8; PS69/022-1; PS69/022-2; PS69/022-3; PS69/023-1; PS69/023-2; PS69/023-3; PS69/024-1; PS69/024-2; PS69/024-3; PS69/025-1; PS69/025-2; PS69/025-4; PS69/026-2; PS69/026-6; PS69/027-1; PS69/027-2; PS69/027-3; PS69/1-track; PS69/Fish; PS69/Snorkel; South Atlantic Ocean; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 11 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2024-05-11
    Keywords: ANT-XXIII/1; Carbon, organic, particulate; CT; DATE/TIME; DEPTH, water; Element analyser CHN; LATITUDE; LONGITUDE; Nitrogen, organic, particulate; Polarstern; PS69; PS69/1-track; Sample code/label; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 99 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2024-05-11
    Keywords: ANT-XXIII/1; Bay of Biscay; Canarias Sea; Carbon, organic, particulate; Celtic Sea; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Element analyser CHNS; Elevation of event; English Channel; Event label; Latitude of event; Longitude of event; Nitrogen, organic, particulate; Polarstern; PS69; PS69/001-3; PS69/002-3; PS69/004-3; PS69/005-3; PS69/006-7; PS69/007-3; PS69/008-3; PS69/009-3; PS69/010-3; PS69/011-5; PS69/012-3; PS69/013-3; PS69/014-2; PS69/015-3; PS69/016-3; PS69/017-3; PS69/018-2; PS69/019-3; PS69/020-3; PS69/021-2; PS69/022-3; PS69/023-3; PS69/024-3; PS69/025-2; PS69/026-2; PS69/027-3; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 240 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 5
    Publication Date: 2024-05-11
    Keywords: ANT-XXIII/1; Backscattering meter, HydroScat-6; Bay of Biscay; Canarias Sea; Celtic Sea; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; English Channel; Event label; Latitude of event; Longitude of event; MSD; Multi Sensor Device; Optical backscattering coefficient, 420 nm; Optical backscattering coefficient, 442 nm; Optical backscattering coefficient, 470 nm; Optical backscattering coefficient, 510 nm; Optical backscattering coefficient, 550 nm; Optical backscattering coefficient, 589 nm; Optical backscattering coefficient, 620 nm; Optical backscattering coefficient, 671 nm; Polarstern; PS69; PS69/001-1; PS69/002-1; PS69/004-1; PS69/005-1; PS69/006-5; PS69/007-2; PS69/008-1; PS69/009-1; PS69/010-1; PS69/011-5; PS69/012-1; PS69/013-1; PS69/014-6; PS69/015-1; PS69/016-1; PS69/017-1; PS69/018-5; PS69/019-1; PS69/020-1; PS69/021-7; PS69/022-1; PS69/023-1; PS69/024-1; PS69/025-4; PS69/026-6; PS69/027-1; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 41572 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 6
    Publication Date: 2024-05-11
    Keywords: ANT-XXIII/1; Bay of Biscay; Canarias Sea; Celtic Sea; Date/Time of event; DEPTH, water; Elevation of event; English Channel; Event label; Latitude of event; Light meter; LM; Longitude of event; Polarstern; PS69; PS69/001-2; PS69/002-2; PS69/004-2; PS69/005-2; PS69/006-6; PS69/007-1; PS69/008-2; PS69/009-2; PS69/010-2; PS69/011-4; PS69/012-2; PS69/013-2; PS69/014-8; PS69/015-2; PS69/016-2; PS69/017-2; PS69/019-2; PS69/020-2; PS69/021-4; PS69/022-2; PS69/023-2; PS69/024-2; PS69/025-1; PS69/027-2; Radiance, upward at 339 nm; Radiance, upward at 380 nm; Radiance, upward at 412 nm; Radiance, upward at 442 nm; Radiance, upward at 470 nm; Radiance, upward at 490 nm; Radiance, upward at 509 nm; Radiance, upward at 532 nm; Radiance, upward at 554 nm; Radiance, upward at 589 nm; Radiance, upward at 620 nm; Radiance, upward at 665 nm; Radiance, upward at 683 nm; Roll angle; Sample code/label; SeaWiFS Profiling Multichannel Radiometer (SPMR); South Atlantic Ocean; Spectral irradiance, downward at 339 nm; Spectral irradiance, downward at 380 nm; Spectral irradiance, downward at 412 nm; Spectral irradiance, downward at 442 nm; Spectral irradiance, downward at 470 nm; Spectral irradiance, downward at 490 nm; Spectral irradiance, downward at 509 nm; Spectral irradiance, downward at 532 nm; Spectral irradiance, downward at 554 nm; Spectral irradiance, downward at 589 nm; Spectral irradiance, downward at 620 nm; Spectral irradiance, downward at 665 nm; Spectral irradiance, downward at 683 nm; Tilt angle
    Type: Dataset
    Format: text/tab-separated-values, 123306 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 7
    Publication Date: 2024-05-11
    Keywords: ANT-XXIII/1; Backscattering meter, HydroScat-6; Bay of Biscay; Canarias Sea; Celtic Sea; Date/Time of event; DEPTH, water; Elevation of event; English Channel; Event label; Latitude of event; Longitude of event; MSD; Multi Sensor Device; Optical backscattering coefficient, 420 nm; Optical backscattering coefficient, 442 nm; Optical backscattering coefficient, 470 nm; Optical backscattering coefficient, 510 nm; Optical backscattering coefficient, 550 nm; Optical backscattering coefficient, 589 nm; Optical backscattering coefficient, 620 nm; Optical backscattering coefficient, 671 nm; Polarstern; PS69; PS69/001-1; PS69/002-1; PS69/004-1; PS69/005-1; PS69/006-5; PS69/007-2; PS69/008-1; PS69/009-1; PS69/010-1; PS69/012-1; PS69/013-1; PS69/014-6; PS69/015-1; PS69/017-1; PS69/018-5; PS69/019-1; PS69/020-1; PS69/021-7; PS69/022-1; PS69/023-1; PS69/024-1; PS69/025-4; PS69/026-6; PS69/027-1; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 37568 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 8
    Publication Date: 2024-05-11
    Keywords: ANT-XXIII/1; Bay of Biscay; Canarias Sea; Celtic Sea; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; English Channel; Event label; Latitude of event; Longitude of event; MSD; Multi Sensor Device; Optical beam attenuation coefficient with pure seawater subtracted at 488 nm; Optical beam attenuation coefficient with pure seawater subtracted at 660 nm; Polarstern; PS69; PS69/001-1; PS69/002-1; PS69/004-1; PS69/005-1; PS69/006-5; PS69/007-2; PS69/008-1; PS69/009-1; PS69/010-1; PS69/011-5; PS69/012-1; PS69/013-1; PS69/014-6; PS69/015-1; PS69/016-1; PS69/017-1; PS69/018-5; PS69/019-1; PS69/020-1; PS69/021-7; PS69/022-1; PS69/023-1; PS69/024-1; PS69/025-4; PS69/026-6; PS69/027-1; South Atlantic Ocean; Transmissometer, WET Labs, C-Star
    Type: Dataset
    Format: text/tab-separated-values, 10438 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 9
    Publication Date: 2024-05-11
    Keywords: ANT-XXIII/1; Bay of Biscay; Canarias Sea; Celtic Sea; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; English Channel; Event label; Latitude of event; Longitude of event; MSD; Multi Sensor Device; Optical beam attenuation coefficient with pure seawater subtracted at 488 nm; Optical beam attenuation coefficient with pure seawater subtracted at 660 nm; Polarstern; PS69; PS69/001-1; PS69/002-1; PS69/004-1; PS69/005-1; PS69/006-5; PS69/007-2; PS69/008-1; PS69/009-1; PS69/010-1; PS69/011-5; PS69/012-1; PS69/013-1; PS69/014-6; PS69/015-1; PS69/016-1; PS69/017-1; PS69/018-5; PS69/019-1; PS69/020-1; PS69/021-7; PS69/022-1; PS69/023-1; PS69/024-1; PS69/025-4; PS69/026-6; PS69/027-1; South Atlantic Ocean; Transmissometer, WET Labs, C-Star
    Type: Dataset
    Format: text/tab-separated-values, 10452 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 10
    Publication Date: 2024-05-11
    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, 67952 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 11
    Publication Date: 2024-05-11
    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, 18249 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 12
    Publication Date: 2024-05-11
    Keywords: 307-U1316A; 307-U1316C; Age, dated; Age, maximum/old; Age, minimum/young; Calculated; DEPTH, sediment/rock; DRILL; Drilling/drill rig; Elevation of event; Event label; Exp307; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Joides Resolution; Latitude of event; Longitude of event; Porcupine Basin Carbonate Mounds; Sample code/label; Sample type; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, error; Thermal Ionization Mass Spectrometry (TIMS)
    Type: Dataset
    Format: text/tab-separated-values, 21 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 13
    Publication Date: 2024-05-11
    Keywords: 307-U1317D; 307-U1317E; Age, dated; Age, maximum/old; Age, minimum/young; Calculated; DEPTH, sediment/rock; DRILL; Drilling/drill rig; Elevation of event; Event label; Exp307; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Joides Resolution; Latitude of event; Longitude of event; Porcupine Basin Carbonate Mounds; Sample code/label; Sample type; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, error; Thermal Ionization Mass Spectrometry (TIMS)
    Type: Dataset
    Format: text/tab-separated-values, 203 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 14
    Publication Date: 2024-05-11
    Keywords: 307-U1318A; 307-U1318B; 307-U1318C; Age, dated; Age, maximum/old; Age, minimum/young; Calculated; DEPTH, sediment/rock; DRILL; Drilling/drill rig; Elevation of event; Event label; Exp307; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Joides Resolution; Latitude of event; Longitude of event; Porcupine Basin Carbonate Mounds; Sample code/label; Sample type; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, error; Thermal Ionization Mass Spectrometry (TIMS)
    Type: Dataset
    Format: text/tab-separated-values, 56 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 15
    Publication Date: 2024-05-11
    Keywords: ABI; Abisko; Abisko, Lappland, northern Sweden; Age, tree ring; Betula pubescens, standard deviation; Betula pubescens tortuosa, age; Betula pubescens tortuosa, height; Biological sample; BIOS; Dovre; ELEVATION; Event label; Height; Joatka; Latitude of event; Longitude of event; MULT; Multiple investigations; Norway; Number of stems; Percentage; Slope inclination, mean; Slope inclination, standard deviation; Standard deviation; Temperature, air, annual mean; Temperature, mean summer; Visual observation
    Type: Dataset
    Format: text/tab-separated-values, 69 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 16
    Publication Date: 2024-05-11
    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, 18249 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 17
    Publication Date: 2024-05-11
    Keywords: ABI; Abisko; Abisko, Lappland, northern Sweden; Betula pubescens tortuosa; Biological sample; BIOS; Description; Dovre; Elevation, maximum; Elevation, minimum; Event label; Joatka; Latitude of event; Longitude of event; MULT; Multiple investigations; Norway; Tree line
    Type: Dataset
    Format: text/tab-separated-values, 72 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 18
    Publication Date: 2024-05-11
    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, 67952 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 19
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Kano, Akihiro; Ferdelman, Timothy G; Williams, Trevor J; Henriet, Jean-Pierre; Ishikawa, Tsuyoshi; Kawagoe, Noriko; Takashima, Chiduru; Kakizaki, Yoshihiro; Abe, Kohei; Sakai, Saburo; Browning, Emily L; Li, Xianghui; IODP Expedition 307 scientific party (2007): Age constraints on the origin and growth history of a deep-water coral mound in the northeast Atlantic drilled during Integrated Ocean Drilling Program Expedition 307. Geology, 35(11), 1051-1054, https://doi.org/10.1130/G23917A.1
    Publication Date: 2024-05-11
    Description: Sr isotope stratigraphy provides a new age model for the first complete section drilled through a deep-water coral mound. The 155-m-long section from Challenger Mound in the Porcupine Sea-bight, southwest of Ireland, is on Miocene siliciclastics and consists entirely of sediments bearing well-preserved cold-water coral Lophelia pertusa. The 87Sr/86Sr values of 28 coral specimens from the mound show an upward-increasing trend, correspond to ages from 2.6 to 0.5 Ma, and identify a significant hiatus from ca. 1.7 to 1.0 Ma at 23.6 m below seafloor. The age of the basal mound sediments coincides with the intensification of Northern Hemisphere glaciations that set up the modern stratification of the northeast Atlantic and enabled coral growth. Mound growth persisted throughout glacial-interglacial fluctuations, reached a maximum rate (24 cm/k.y.) ca. 2.0 Ma, and ceased at 1.7 Ma. Unlike other buried mounds in Porcupine Seabight, Challenger Mound was only partly covered during its growth interruption, and growth restarted ca. 1.0 Ma.
    Keywords: 307-U1316A; 307-U1316C; 307-U1317D; 307-U1317E; 307-U1318A; 307-U1318B; 307-U1318C; DRILL; Drilling/drill rig; Exp307; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Joides Resolution; Porcupine Basin Carbonate Mounds
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 20
    Publication Date: 2024-05-09
    Description: A geochemical survey of thermal waters collected from submarine vents at Panarea Island (Aeolian Islands, southern Italy) was carried out from December 2002 to March 2007, in order to investigate i) the geochemical processes controlling the chemical composition of the hydrothermal fluids and ii) the possible relations between the chemical features of the hydrothermal reservoir and the activity of the magmatic system. Compositional data of the thermal water samples were integrated in a hydrological conceptual model, which describes the formation of the vent fluid by mixing of seawater, seawater concentrated by boiling, and a deep, highly-saline end-member, whose composition is regulated by water-rock interactions at relatively high temperature and shows clear clues of magmatic-related inputs. The chemical composition of concentrated seawater was assumed to be represented by that of the water sample having the highest Mg content. The composition of the deep end-member was instead calculated by extrapolation assuming a zero-Mg end-member. The Na–K–Ca geothermometer, when applied to the thermal end-member composition, indicated an equilibrium temperature of approximately 300 °C, a temperature in agreement with the results obtained by gas-geothermometry.
    Description: Published
    Description: 246-254
    Description: 3V. Proprietà chimico-fisiche dei magmi e dei prodotti vulcanici
    Description: JCR Journal
    Description: reserved
    Keywords: low-pH waters; shallow submarine hydrothermal springs; Panarea Island ; 04. Solid Earth::04.04. Geology::04.04.12. Fluid Geochemistry
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 21
    Publication Date: 2024-05-09
    Description: The Hellenic subduction region displays the same precursory swarm phenomenon as has been found in comparable regions of New Zealand and Japan. In the earthquake catalogue of the Aristotle University of Thessaloniki, 10 past sequences of precursory swarms and related major mainshock events have been identified. These correlate, in respect of location, magnitude and time, with the 9 sequences previously identified in New Zealand, and 9 in Japan, bringing the total of sequences to 28, and the totals of related events (allowing for clustering) to 56 precursory swarms and 42 mainshock events. The results add strength to the hypothesis that swarms are long-range predictors of mainshock events. A close similarity between the swarm and aftershock magnitudes in a given sequence is also confirmed in Greece, supporting the proposal that swarms are an integral part of the seismogenic process in subduction regions. Further, the modelling of swarms as part of an overall increase in seismicity, the onset of which marks the onset of seismogenesis, is well illustrated from past sequences in Greece. Formal tests are being carried out in Greece, in parallel with New Zealand and Japan, to ascertain the performance of the hypothesis as a basis for long-range synoptic forecasting.
    Description: JCR Journal
    Description: open
    Keywords: precursors swarm ; seismogenesis ; earthquake prediction ; Hellenic arc ; 04. Solid Earth::04.06. Seismology::04.06.03. Earthquake source and dynamics ; 05. General::05.02. Data dissemination::05.02.02. Seismological data
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Format: 6664521 bytes
    Format: application/pdf
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 22
    Publication Date: 2024-05-09
    Description: EnCana’s CO2 injection EOR project at Weyburn (Saskatchewan, Canada) is the focal point of a multi-faceted research program, sponsored by IEA GHG R&D and numerous international industrial and government partners including the European Community (BGS, BRGM, INGV and GEUS research providers), to find co-optimization of “CO2-EOR Production” and “CO2 -Geological Storage”, addressed to environmental purposes, in the frame of the Kyoto Agreement Policies. The Weyburn oil-pull is recovered from Midale Beds (at the depth of 1300-1500 m). This formation consists of Mississipian shallow marine carbonate-evaporites that can be subdivided into two units: i) the dolomitic “Marly” and ii) the underlying calcitic “Vuggy”, sealed by an anhydrite cap. Presently, around 3 billions mc of supercritical CO2 have been injected into the “Phase A1”injection area that includes around 90 oil producers, 30 water injectors and 30 CO2 injection wells, build up since September 2000. INGV has carried out a geochemical monitoring programme -approximately thrice yearly from pre-injection (“Baseline” trip, August 2000) to September 2004- performing trace element and dissolved gas analysis along with fluids sampling surveys, the latter being performed by the Canadian partners. The experimental data are the base of a geochemical modelling, i.e. the main goal of the present study. In the past, assumptions and gap-acceptance have been made in the literature in the frame of the geochemical modelling of CO2 geological storage, in order to reconstruct the reservoir conditions (pressure, pH and boundary conditions). As these parameters of deep fluids cannot be measured in-situ, all this information must be computed by a a posteriori procedure involving the analytical data. In this work we proposed an approach to geochemical modeling in order to:: i) reconstruct the in-situ reservoir chemical composition (including pH) and ii) evaluate the boundary conditions (e.g. pCO2, pH2S), necessary to implement the reaction path modelling. This is the starting point to assess the geochemical impact of CO2 into the oil reservoir and, as main target, to quantify water-gas-rock reactions. Our geochemical modelling procedure is based on the available data such as: a) bulk mineralogy of the Marly and Vuggy zones; b) average gas-cap composition and c) pre-and post-CO2 injection selected water samples from Midale Beds. The PRHEEQC (V2.11) Software Package was used to reconstruct the in-situ reservoir composition by calculating the chemical equilibrium among the various phases at reservoir temperature (60°C) and pressure (150 bars) conditions by suitable thermodynamic corrections to code database. Then, we identified possible compositions of the initially reservoir liquid phases, always taking into account the case histories of the Marly and Vuggy units. The inverse modelling simulation (IMS) was then performed in order to calculate the amounts of mass transfer of liquid, gas and solid phases that accounted for changes in the water chemistry between the 2000 and 2003 data-sets. IMS calculations suggest that the reservoir underwent mineralogical changes, such as precipitation of chalcedony, gypsum and kaolinite and dissolution of anhydrite and k-feldspar. Calcite dissolution is predicted, but the precipitation of others carbonates (dolomite, dawsonite and siderite) can also occur. Finally, we modelled the geochemical impact of CO2 injection on Weyburn reservoir subjected to both local equilibrium and kinetically controlled reactions. All experimental data and thermo-kinetic modeling of the evolution of the CO2-rich Weyburn brine interacting with host rock minerals performed over 100 years after injection confirm that “solubility trapping” is prevailing in this early stage of CO2 injection. Further and detailed studies on the evolution of the CO2-rich Weyburn brine is one of main aims of this study in the framework of a PhD programme between the INGV of Rome and the Department of Earth Sciences of Florence.
    Description: Published
    Description: Berkeley, California
    Description: 2.4. TTC - Laboratori di geochimica dei fluidi
    Description: open
    Keywords: Geochemical Modeling CO2 Capture and Storage ; Weyburn Field CO2-EOR ; 05. General::05.08. Risk::05.08.01. Environmental risk
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Conference paper
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 23
    Publication Date: 2024-05-09
    Description: Turrialba Volcano, located in Central-Southern Costa Rica, has been characterized, since the last period of eruptive activity in 1884-1886, by a weak and discontinuous fumarolic activity in the western area of its summit. During the 1998-2002 period, fumaroles discharging from central and West craters were collected for chemical analyses of major and trace gas compounds, 13C/12C in CO2 and 18O/16O and D/H (in one fumarolic condensate), isotopic ratios. Geophysical measurements (seismic activity and ground deformation), monitored in the same period, were compared to geochemical data to define the status of the volcanic system. Chemical and isotopic characteristics of fumaroles of Turrialba Volcano seem to be related to interaction processes between a magmatic source and a shallower hydrothermal aquifer. Since February 1997, seismicity at Turrialba Volcano gradually increased, while since August 2001 new fumaroles start to discharge from a new fracture system located in the area between central and West craters. Since September 2001, strong compositional changes of gas discharges have been recorded at central crater. These occurrences are possibly due to variations in the permeability of the conduit system feeding the fumaroles. Heat pulse episodes from a magmatic source have possibly caused the increase of vapour pressure at depth and, consequently, favoured the uprising of the magmatic fluids toward the surface. The observed evolution of chemical and physical parameters suggests that to forecast a possible renewal of the volcanic activity in the near future a full program of both geochemical and geophysical surveillance must be provided at Turrialba Volcano.
    Description: Published
    Description: JCR Journal
    Description: open
    Keywords: volcanic gases ; volcanic hazard ; geochemical monitoring ; geophysical monitoring ; Turrialba Volcano ; 05. General::05.02. Data dissemination::05.02.01. Geochemical data
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Format: 921688 bytes
    Format: application/pdf
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 24
    Publication Date: 2024-05-09
    Description: Two ideal lithologic sections representing a tidal bar system and a fluvial complex were drawn in order to run seismic modeling programs developed by OGS on behalf of the European Community. The simulations allowed an accurate analysis of the seismic expressions of the two sections. The tidal bar system is formed by a number of sandstone lenses interlayered with siltstone and mudstone deposits. These lenses meet together on an erosion surface, while they thin and vanish in the other direction. The fluvial complex is fonned by a limestone basement overlain by coarse alluvial plain sediments which in turn are transgressed by finer flood plain sediments, including sandstone lenses stacking towards the top in a meandering belt. These lithofacies associations represent potential multi-pool reservoirs in which the mudstone layers constitute the plugs. As a function of the granulometric and depositional features of each lithological unit, together with fluid content, wave velocities and densities were evaluated. A 2D modeling for elastic plane wave propagation in these hypothesized geologic sections was run on a Cray supercomputer. The numerical scheme is based on solving the full wave equation by pseudospectral methods.
    Description: JCR Journal
    Description: open
    Keywords: seismic modeling ; depositional systems ; tidal bars ; fluvial complex ; wave equation ; 04. Solid Earth::04.02. Exploration geophysics::04.02.06. Seismic methods ; 04. Solid Earth::04.04. Geology::04.04.10. Stratigraphy
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Format: 5195786 bytes
    Format: application/pdf
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 25
    Publication Date: 2024-05-09
    Description: Geological storage is one of the most promising technologies for reducing anthropogenic atmospheric emissions of CO2. Among the several CO2 storage techniques, sequestration in deep-seated saline aquifers implies four processes: a) supercritical fluid into geologic structure (physical trapping), b) dissolved CO2(aq) due to very long flow path (hydrodynamic trapping), c) dissolved CO2(aq) (solubility trapping), and d) secondary carbonates (mineral trapping). The appealing concept that CO2 can permanently be retained underground has prompted several experimental studies in Europe and North America sponsored by IEA GHG R&D, EU and numerous international industrials and governments, the most important project being the International Energy Agency Weyburn CO2 Monitoring & Storage, an EnCana’s CO2 injection EOR project at Weyburn (Saskatchewan, Canada). Owing to the possible risks associated to this technique, numerical modelling procedures of geochemical processes are necessary to investigate the short- to long-term consequences of CO2 storage. Assumptions and gap-acceptance are made to reconstruct the reservoir conditions (pressure, pH, chemistry, and mineral assemblage), although most strategic geochemical parameters of deep fluids are computed by a posteriori procedure due to the sampling collection at the wellhead, i.e. using depressurised aliquots. In this work a new approach to geochemical model capable of to reconstruct the reservoir chemical composition (T, P, boundary conditions and pH) is proposed using surface analytical data to simulate the short-medium term reservoir evolution during and after the CO2 injection. The PRHEEQC (V2.11) Software Package via thermodynamic corrections to the code default database has been used to obtain a more realistic modelling. The main modifications brought about the Software Package are: i) addition of new solid phases, ii) use of P〉0.1 Mpa, iii) variation of the CO2 supercritical fugacity and solubility under reservoir conditions, iv) addition of kinetic rate equations of several minerals and v) calculation of reaction surface area. The Weyburn Project was selected as case study to test our model. The Weyburn oil-pull is recovered from the Midale Beds (1300-1500 m deep) that consist of two units of Mississippian shallow marine carbonate-evaporites: i) the dolomitic “Marly” and ii) the underlying calcitic “Vuggy”, sealed by an anhydrite cap-rock. About 3 billions mc of supercritical CO2 have been injected into the “Phase A1” injection area. The INGV and the University of Calgary (Canada), have carried out a geochemical monitoring program (ca. thrice yearly- from pre-injection trip: “Baseline” trip, August 2000, to September 2004). The merged experimental data are the base of the present geochemical modeling. On the basis of the available data, i.e. a) bulk mineralogy of the Marly and Vuggy reservoirs; b) mean gas-cap composition at the wellheads and c) selected pre- and post-CO2 injection water samples, the in-situ (62 °C and 0.1 MPa) reservoir chemical composition (including pH and the boundary conditions as PCO2, PH2S) has been re-built by the chemical equilibrium among the various phases, minimizing the effects of the past 30-years of water flooding in the oil field. The kinetic evolution of the CO2-rich Weyburn brines interacting with the host-rock minerals performed over 100 years after injection have also been computed. The reaction path modeling suggests that CO2 can mainly be neutralized by solubility and mineral trapping via Dawsonite precipitation. To validate our model the geochemical impact of three years of CO2 injection (September 2000-2003) has been simulated by kinetically controlled reactions. The calculated chemical composition after the CO2 injection is consistent with the analytical data of samples collected in 2003 with a 〈5 % error for most analytical species, with the exception of Ca and Mg (error 〉90%), likely due to the complexation effect of carboxilic acid.
    Description: Published
    Description: Rimini, Italy
    Description: 2.4. TTC - Laboratori di geochimica dei fluidi
    Description: open
    Keywords: geochemical modeling ; Weyburn project ; 03. Hydrosphere::03.01. General::03.01.01. Analytical and numerical modeling
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Oral presentation
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 26
    Publication Date: 2024-05-09
    Description: On the Forecasting Horizon of Seismicity Models
    Description: Istituto Nazionale di Geofisica e Vulcanologia (INGV), Rome, Italy Institute of Statistical Mathematics (ISM), Tokyo, Japan Swiss Seismological Service, Institute of Geophysics (ETH), Zürich, Switzerland
    Description: Unpublished
    Description: Erice, Italy
    Description: open
    Keywords: forecasting ; 04. Solid Earth::04.06. Seismology::04.06.99. General or miscellaneous
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Oral presentation
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 27
    Publication Date: 2024-05-09
    Description: A three-stage faulting model explains the observed quantitative relations between long-term precursory seismicity, mainshocks and aftershocks. Seismogenesis starts with the formation of a major crack, culminates in the corresponding major fracture and earthquake, and ends with healing. Crack formation is a self-organised critical phenomenon, and shear fracture is a delayed sequel to crack formation. It is postulated that the major crack generates a set of minor cracks, just as, later, the major fracture generates a set of minor fractures. Fracturing of the minor cracks raises the average seismicity level. By Mogi’s uniformity criterion, the major earthquake is delayed until the minor fractures have healed and the stress-field has regained relative uniformity. In accord with the scaling principle, the model applies at all magnitude levels. The size of any given initial crack determines the scale of the ensuing seismogenic process. A graphical technique of cumulative magnitude analysis gives a quantitative representation of the seismicity aspects of the model. Examples are given for large earthquakes in a region of continental collision and a subduction region. The principle of hierarchy is exemplified by the seismogenesis of a M 5.9 mainshock occurring entirely within the precursory stage of a M 7.0 mainshock. The model is capable of accommodating a variety of proposed shorter-term precursory phenomena.
    Description: JCR Journal
    Description: open
    Keywords: seismogenesis ; faulting ; precursory seismicity ; scaling ; 04. Solid Earth::04.06. Seismology::04.06.02. Earthquake interactions and probability
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Format: 5706426 bytes
    Format: application/pdf
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 28
    Publication Date: 2024-05-09
    Description: A sudden increase in the scale of seismicity has occurred as a long-term precursor to twelve major earthquakes in California and Northern Mexico. These include all earthquakes along the San Andreas system during 1960-2000 with magnitude M 6.4. The full list is as follows: Colorado Delta, 1966, M 6.3; Borrego Mt., 1968, M 6.5; San Fernando, 1971, M 6.6; Brawley, 1979, M 6.4; Mexicali, 1980, M 6.1; Coalinga, 1983, M 6.7; Superstition Hills, 1987, M 6.6; Loma Prieta, 1989, M 7.0; Joshua Tree, 1992, M 6.1; Landers, 1992, M 7.3; Northridge, 1994, M 6.6; Hector Mine, 1999, M 7.1. Such a Precursory Scale Increase () was inferred from the modelling of long-term seismogenesis as a three-stage faulting process against a background of self-organised criticality. The location, onset-time and level of are predictive of the location, time and magnitude of the future earthquake. Precursory swarms, which occur widely in subduction regions, are a special form of ; the more general form is here shownto occur frequently in a region of continental transform. Other seismicity precursors, including quiescence and foreshocks, contribute to or modulate the increased seismicity that characterises . The area occupied by is small compared with those occupied by the seismicity precursors known as AMR, M8 and LURR. Further work is needed to formulate as a testable hypothesis, and to carry out the appropriate forecasting tests.
    Description: Published
    Description: JCR Journal
    Description: open
    Keywords: precursory seismicity ; seismogenesis ; 04. Solid Earth::04.06. Seismology::04.06.02. Earthquake interactions and probability
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Format: 727164 bytes
    Format: application/pdf
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 29
    Publication Date: 2024-05-09
    Description: The study of the Calabrian Arc in the Ionian Sea is key to understanding of the geological processes in the Mediterranean Sea. We present the technical details and results of cruise CALAMARE08 with N/O Urania during spring 2008. We acquired a large set of geological and geophysical data, among them Multichannels Seismic and SBP, magnetometry, gravimetry, swath bathymetry and coring of sea bottom.
    Description: 1. CNR, Istituto Di Scienze Marine, Bologna, Italy 2. Dipartimento Sc.della Terra, Universita- di Parma 3. Universita’ di Bologna 4. Universita’ di Roma-3 5. Universite’ Brest 6. Istituto Nazionale di Geofisica e Vulcanologia, Roma-2, Roma, Italy 7. Istituto Idrografico della Marina, Genova
    Description: Published
    Description: 3.2. Tettonica attiva
    Description: open
    Keywords: Ionian Sea ; 04. Solid Earth::04.01. Earth Interior::04.01.02. Geological and geophysical evidences of deep processes ; 04. Solid Earth::04.03. Geodesy::04.03.04. Gravity anomalies ; 04. Solid Earth::04.04. Geology::04.04.04. Marine geology ; 04. Solid Earth::04.05. Geomagnetism::04.05.04. Magnetic anomalies ; 04. Solid Earth::04.05. Geomagnetism::04.05.07. Rock magnetism
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: report
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 30
    Publication Date: 2024-05-09
    Description: CO2 Capture & Storage (CCS) is presently one of the most promising technologies for reducing anthropogenic emissions of CO2 . Among the several potential geologi- cal CO2 storage sites, e.g. depleted oil and gas field, unexploitable coal beds, saline aquifers, the latter are estimated to have the highest potential capacity (350-1000 Gt CO2 ) and, being relatively common worldwide, a higher probability to be located close to major CO2 anthropogenic sources. In these sites CO2 can safely be retained at depth for long times, as follows: a) physical trapping into geologic structures; b) hy- drodynamic trapping where CO2(aq) slowly migrates in an aquifer, c) solubility trap- ping after the dissolution of CO2(aq) and d) mineral trapping as secondary carbon- ates precipitate. Despite the potential advantages of CO2 geo-sequestration, risks of CO2 leakage from the reservoir have to be carefully evaluated by both monitoring techniques and numerical modeling used in “CO2 analogues”, although seepage from saline aquifers is unlikely to be occurring. The fate of CO2 once injected into a saline aquifer can be predicted by means of numerical modelling procedures of geochemical processes, these theoretical calculations being one of the few approaches for inves- tigating the short-long-term consequences of CO2 storage. This study is focused on some Italian deep-seated (〉800 m) saline aquifers by assessing solubility and min- eral trapping potentiality as strategic need for some feasibility studies that are about to be started in Italy. Preliminary results obtained by numerical simulations of a geo- chemical modeling applied to an off-shore Italian carbonatic saline aquifer potential suitable to geological CO2 storage are here presented and discussed. Deep well data, still covered by industrial confidentiality, show that the saline aquifer, includes six Late Triassic-Early Jurassic carbonatic formations at the depth of 2500-3700 m b.s.l. These formations, belonging to Tuscan Nappe, consist of porous limestones (mainly calcite) and marly limestones sealed, on the top, by an effective and thick cap-rock (around 2500 m) of clay flysch belonging to the Liguride Units. The evaluation of the potential geochemical impact of CO2 storage and the quantification of water-gas-rock reactions (solubility and mineral trapping) of injection reservoir have been performed by the PRHEEQC (V2.11) Software Package via corrections to the code default ther- modynamic database to obtain a more realistic modelling. The main modifications to the Software Package are, as follows: i) addition of new solid phases, ii) variation of the CO2 supercritical fugacity and solubility under reservoir conditions, iii) addi- tion of kinetic rate equations of several minerals and iv) calculation of reaction sur- face area. Available site-specific data include only basic physical parameters such as temperature, pressure, and salinity of the formation waters. Rocks sampling of each considered formation in the contiguous in-shore zones was carried out. Mineralogy was determined by X-Ray diffraction analysis and Scanning Electronic Microscopy on thin sections. As chemical composition of the aquifer pore water is unknown, this has been inferred by batch modeling assuming thermodynamic equilibrium between minerals and a NaCl equivalent brine at reservoir conditions (up to 135 ̊C and 251 atm). Kinetic modelling was carried out for isothermal conditions (135 ̊C), under a CO2 injection constant pressure of 251 atm, between: a) bulk mineralogy of the six formations constituting the aquifer, and b) pre-CO2 injection water. The kinetic evolu- tion of the CO2 -rich brines interacting with the host-rock minerals performed over 100 years after injection suggests that solubility trapping is prevailing in this early stage of CO2 injection. Further and detailed multidisciplinary studies on rock properties, geochemical and micro seismic monitoring and 3D reservoir simulation are necessary to better characterize the potential storage site and asses the CO2 storage capacity.
    Description: Published
    Description: Vienna (Austria)
    Description: 2.4. TTC - Laboratori di geochimica dei fluidi
    Description: open
    Keywords: CO2 storage ; Geochemical modeling ; 01. Atmosphere::01.01. Atmosphere::01.01.02. Climate ; 01. Atmosphere::01.01. Atmosphere::01.01.06. Thermodynamics ; 03. Hydrosphere::03.01. General::03.01.01. Analytical and numerical modeling ; 03. Hydrosphere::03.02. Hydrology::03.02.03. Groundwater processes ; 03. Hydrosphere::03.04. Chemical and biological::03.04.03. Chemistry of waters ; 04. Solid Earth::04.02. Exploration geophysics::04.02.01. Geochemical exploration ; 04. Solid Earth::04.04. Geology::04.04.12. Fluid Geochemistry
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Abstract
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 31
    Publication Date: 2024-05-09
    Description: Recent strong (M 6.6) earthquakes in Greece are examined from the point of view of two current, but disparate, approaches to long-term seismogenesis. These are the evolving stress field (ESF) approach, in which earthquakes are considered to be triggered by accumulated stress changes from past earthquakes and tectonic loading on the major faults, and the precursory scale increase (Y) approach, in which a major earthquake is preceded in the long term by an increase in minor earthquake occurrences, with the magnitude of the precursory earthquakes, and the precursor time and area all scaling with the major earthquake magnitude. The strong earthquakes are found to be consistent with both approaches, and it is inferred that both approaches have a relevant role to play in the description of the long-term generation process of major earthquakes. A three-stage faulting model proposed previously to explain the Y phenomenon involves a major crack, which eventually fractures in the major earthquake, being formed before the onset of precursory seismicity. Hence we examine whether ESF can account for the formation of the major crack by examining the accumulated stress changes at the time of the onset of Y for each strong earthquake. In each case, the answer is in the affirmative; there is enhanced stress in the vicinity of the main shock at the time of the onset. The same is true for most, but not all, of the locations of precursory earthquakes.
    Description: Published
    Description: B05318
    Description: reserved
    Keywords: seismogenesis ; Greece: ; 04. Solid Earth::04.06. Seismology::04.06.01. Earthquake faults: properties and evolution ; 04. Solid Earth::04.06. Seismology::04.06.02. Earthquake interactions and probability ; 04. Solid Earth::04.06. Seismology::04.06.03. Earthquake source and dynamics
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 32
    Publication Date: 2024-05-09
    Description: In January 2002, Nyiragongo volcano erupted 14–34 × 106 m3 of lava from fractures on its southern flanks. The nearby city of Goma was inundated by two lava flows, which caused substantial socioeconomic disruption and forced the mass exodus of the population, leaving nearly 120,000 people homeless. Field observations showed marked differences between the lava erupted from the northern portion of the fracture system and that later erupted from the southern part. These observations are confirmed by new 238U and 232Th series radioactive disequilibria data, which show the presence of three different phases during the eruption. The lavas first erupted (T1) were probably supplied by a residual magma batch from the lava lake activity during 1994–1995. These lavas were followed by a fresh batch erupted from fissure vents as well as later (May–June 2002) from the central crater (T2). Both lava batches reached the surface via the volcano's central plumbing system, even though a separate flank reservoir may also have been involved in addition to the main reservoir. The final phase (T3) is related to an independent magmatic reservoir located much closer (or even beneath) the city of Goma. Data from the January 2002 eruption, and for similar activity in January 1977, suggest that the eruptive style of the volcano is likely to change in the future, trending toward more common occurrence of flank eruptions. If so, this would pose a significant escalation of volcanic hazards facing Goma and environs, thus requiring the implementation of different volcano-monitoring strategies to better anticipate where and when future eruptions might take place.
    Description: Published
    Description: B09202
    Description: 3.6. Fisica del vulcanismo
    Description: JCR Journal
    Description: reserved
    Keywords: Nyiragongo ; forecasting ; volcanic hazard ; 04. Solid Earth::04.08. Volcanology::04.08.08. Volcanic risk
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 33
    Publication Date: 2024-05-09
    Description: Time-invariant, long-range, and short-range forecasting models were fitted to the earthquake catalogue of Greece for magnitudes 4.0 and greater to optimize their ability to forecast events of magnitude 6.0 and greater in the period 1966–1980. The models considered were stationary spatially uniform and spatially varying Poisson models, a long-range forecasting model based on the precursory scale increase phenomenon with every earthquake regarded as a precursor according to scale, and epidemic type short-range forecasting models with spatially uniform and spatially varying spontaneous seismicity. Each of the models was then applied to the catalogue for 1981–2002, and their forecasting performance was compared using the log likelihood statistic. The long-range forecasting model performed substantially better than the time-invariant models, and the short-range forecasting models performed substantially better again. The results show that the information value to be gained from modeling temporal and spatial variation of earthquake occurrence rate, at both long and short range, is much greater than can be gained from modeling spatial variation alone.
    Description: Published
    Description: B09304
    Description: JCR Journal
    Description: reserved
    Keywords: earthquake catalogue ; Greece ; 04. Solid Earth::04.06. Seismology::04.06.02. Earthquake interactions and probability ; 05. General::05.02. Data dissemination::05.02.02. Seismological data
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 34
    Publication Date: 2024-05-09
    Description: In this work we present a new approach to model the effects of CO2 sequestration that has been tested in the Weyburn test site. The Weyburn oil-pull is recovered from Midale Beds (at 1300-1500 m depth). This formation consists of Mississippian shallow marine evaporitic carbonates that can be divided into two units: i) the dolomitic “Marly” and ii) the underlying calcitic “Vuggy”, sealed by an anhydrite cap-rock. Presently, about 3 billions mc of supercritical CO2 have been injected into the “Phase A1” injection area. The aim of our model is to reconstruct i) the chemical composition of the reservoir; ii) the geochemical evolution of the reservoir with time as CO2 is injected and ii) the boundary conditions. The geochemical modeling has been performed by using the code PRHEEQC (V2.11) software package. The “primitive brine” composition was calculated on the basis of the chemical equilibrium among the various phases, assuming reservoir equilibrium conditions for the mineral assemblage with respect to a Na-Cl (Cl/Na=1.2) water, at T of 62 °C and P of 150 bars via thermodynamic corrections to the code database. A comparison between the chemical composition of the “primitive brine” and that analytically determined on water samples collected before the CO2 injection shows an agreement within 10 %. Furthermore, we computed the kinetic evolution of the reservoir by considering the local equilibrium and the kinetically controlled reactions taking into account the CO2 injected during four years of monitoring. The calculated chemical composition after the CO2 injection is consistent with the analytical data of samples collected in 2004, with the exception of calcium and magnesium contents. The results of the Inverse Modeling Simulation (IMS) suggest that the measured Ca and Mg contents are higher than those calculated from the solubility of calcite and dolomite, likely due to the complexation effect of carboxilic acid. The results of the application of the kinetic model lasting 100 years indicate that dissolution of K-feldspar and kaolinite and precipitation of chalcedony affect the Marly and Vuggy units. Furthermore, calcite tends to be dissolved as CO2 solubilises in the reservoir, whereas dolomite dissolution can be considered negligible. Dawsonite precipitates as secondary mineral. The CO2 content from solubility trapping (short/medium-term sequestration) calculation is ~0.8 mol/L.
    Description: Published
    Description: Pechino, Cina
    Description: 2.4. TTC - Laboratori di geochimica dei fluidi
    Description: open
    Keywords: geochemical modeling ; Weyburn project ; 03. Hydrosphere::03.01. General::03.01.01. Analytical and numerical modeling
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Poster session
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 35
    Publication Date: 2024-05-09
    Description: A quantitative prediction of seismic site effects requires the definition of a subsoil parametric model for ground motion numerical modelling. This paper describes an application of integrated geophysical methods to define an earthquake engineering parametric model for the seismic zonation of the municipal area of Celano, Italy. In municipal areas of such extent, particularly in case of complex geology, subsurface characterization is an optimization procedure, where the objective function to be minimized is the uncertainty related to the subsoil features, under the constraint of fixed resources and logistical limitations. In the particular case of Celano, correlation between different geophysical results was very profitable in discriminating different geological scenarios in the historical centre and in areas designed for urban expansion, while defining the elastic properties of the near-surface deposits throughout the municipal area.
    Description: Published
    Description: 950-963
    Description: 4.1. Metodologie sismologiche per l'ingegneria sismica
    Description: JCR Journal
    Description: reserved
    Keywords: Geophysical surveys; Dynamic soil properties; Site effects; Seismic microzonation; In-situ soil testing ; 04. Solid Earth::04.02. Exploration geophysics::04.02.06. Seismic methods
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 36
    facet.materialart.
    Unknown
    AGU
    In:  Citation: Tedesco, D., et al. (2007), Cooperation on Congo Volcanic and Environmental Risks, Eos Trans. AGU, 88(16), 177.
    Publication Date: 2024-05-09
    Description: Article
    Description: On 17 January 2002, the Nyiragongo volcano (1.52°S, 29.25°E, 3469 meters above sea level), located about 18 kilometers north of Lake Kivu in the Democratic Republic of Congo, erupted, releasing a volume of 14-34 million cubic meters of lava. Lava flows originated from north-south oriented fractures that rapidly developed along the southern flank of the volcano. Two lava flows divided the nearby city of Goma (~500,000 people) into two parts, forcing a rapid exodus of the population into Rwanda. One of these lava flows ran into Lake Kivu, encroaching 60 meters below lake level with a submerged lava volume of 1 million cubic meters. About 15% of the town was directly affected, leaving approximately 120,000 people homeless. At least 170 people died as a direct consequence of the eruption
    Description: American Geophysical Union
    Description: Published
    Description: 177-188
    Description: 1.5. TTC - Sorveglianza dell'attività eruttiva dei vulcani
    Description: N/A or not JCR
    Description: reserved
    Keywords: Volcanology ; Telemetered Seismic Network ; Effusive volcanism ; Volcanology ; Experimental volcanism ; 04. Solid Earth::04.06. Seismology::04.06.08. Volcano seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 37
    Publication Date: 2024-05-09
    Description: Integration of geological and macroseismic data to define probable seismic scenarios in terms of macroseismic intensity and related seismogenic source models. The Maiella 1706 earthquake (Abruzzo, Italy)
    Description: Published
    Description: Roma, Italy
    Description: 3.10. Sismologia storica e archeosismologia
    Description: open
    Keywords: seismogenic source Maiella ; 04. Solid Earth::04.06. Seismology::04.06.05. Historical seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Oral presentation
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 38
    Publication Date: 2024-05-09
    Description: The New Zealand Earthquake Forecast Testing Centre
    Description: Istituto Nazionale di Geofisica e Vulcanologia (INGV), Rome, Italy Institute of Statistical Mathematics (ISM), Tokyo, Japan Swiss Seismological Service, Institute of Geophysics (ETH), Zürich, Switzerland
    Description: Unpublished
    Description: Erice, Italy
    Description: open
    Keywords: forecasting ; 04. Solid Earth::04.06. Seismology::04.06.99. General or miscellaneous
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Oral presentation
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 39
    Publication Date: 2024-05-09
    Description: On 3rd November 2002, at about 3 km off-shore of Panarea Island (Aeolian Islands, Southern Italy), a series of gas vents suddenly and violently opened from the seafloor at the depth of 10-15 m, with an unusually high gas flux and superimposing on the already existing submarine fumarolic field. Starting from the 12th November 2002 a discontinuous geochemical monitoring program was carried out. The emissions consisted in an emulsion whose liquid phase derived from condensation of an uprising vapor phase occurring close to the fluid outlets without significant contamination by seawater. The whole composition of the fluids was basically H2O- and CO2-dominated, with minor amounts of typical «hydrothermal» components (such as H2S, H2, CO and light hydrocarbons), atmospheric-related compounds, and characterized by the occurrence of a significant magmatic gas fraction (mostly represented by SO2, HCl and HF). According to the observed temporal variability of the fluid compositions, between November and December 2002 the hydrothermal feeding system was controlled by oxidizing conditions due to the input of magmatic gases. The magmatic degassing phenomena showed a transient nature, as testified by the almost complete disappearance of the magmatic markers in a couple of months and by the restoration, since January 2003, of the chemical features of the existing hydrothermal system. The most striking feature of the evolution of the «Panarea degassing event» was the relatively rapid restoration of the typical reducing conditions of a stationary hydrothermal system, in which the FeO/Fe1.5O redox pair of the rock mineral phases has turned to be the dominating redox controlling system.
    Description: Published
    Description: JCR Journal
    Description: open
    Keywords: Aeolian Islands ; Panarea ; submarine fumaroles ; gas chemistry ; geochemical monitoring ; 04. Solid Earth::04.08. Volcanology::04.08.01. Gases ; 04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Format: 1571798 bytes
    Format: application/pdf
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 40
    Publication Date: 2024-05-09
    Description: CO2 geological storage is one of the most promising technologies for reducing atmospheric emissions of greenhouse gas. The results obtained by a new approach applied to a CO2 storage geochemical model at the Weyburn (Saskatchewan, Canada) test site, where since September 2000 5000 t/day of supercritical CO2 are injected, are presented and discussed. The Weyburn oil-pull is recovered from the Midale Beds (at the depth of 1300-1500 m), consisting of Mississippian shallow marine carbonate-evaporites, that is classically subdivided into two units: i) the dolomitic “Marly” and ii) the underlying calcitic “Vuggy”, sealed by an anhydrite cap-rock. Assumptions and gap-acceptance are commonly made to reconstruct the reservoir conditions (pressure, pH, chemistry, and mineral assemblage), although most geochemical parameters of deep fluids are to be computed by a posteriori procedure due to the sampling collection at the well-head, i.e. using depressurised aliquots. On the basis of the available data at Weyburn, such as: a) bulk mineralogy of the Marly and Vuggy reservoirs; b) mean gas-cap composition at the well-heads and c) selected pre- and post-CO2 injection water samples, we have rebuilt the in-situ reservoir chemical composition and the kinetic evolution after CO2 injection. The geochemical modelling has been performed by using the code PRHEEQC (V2.11) software package; the in-situ reservoir composition was calculated by the chemical equilibrium among the various phases at reservoir temperature (62 °C) and pressure (150 bars) via thermodynamic corrections to the code default database. Furthermore, the “primitive” chemical composition of the pre-injection Marly and Vuggy liquid phase was derived by assuming the equilibrium conditions for the mineral assemblage with respect to a Na-Cl (Cl/Na=1.2) water. A comparison between the chemical composition of the “primitive brine” and that measured before the CO2 injection shown an agreement within 10 % for most analytical species. The second step has been that to compute the geochemical impact of three years of CO2 injection (September 2000-2003) by kinetically controlled reactions. In order to statically validated our geochemical model we have compared the computed and measured data by using the Median Test. The results show that the proposed geochemical model is able to reliably describe (within 5% error) the behaviour of pH, HCO3, Cl, Li, Na, Sr, Si and HS+SO4, with the exception of K, Ca and Mg. Finally, the kinetic evolution of the CO2-rich Weyburn brines interacting with the host-rock minerals, performed over 100 years after injection, has also been modelled. The solubility trapping (short/medium-term sequestration) gives an amount of dissolved CO2 of 0.761moles/L and 0.752 moles/L for Marly and Vuggy units, respectively, whereas the mineral trapping, calculated as difference between dissolved (calcite and dolomite) and precipitated carbonate (dawsonite) minerals, is -0.019 and -5.69x10-5 moles/L for Marly and Vuggy units, respectively. The experimental data-set available and the geochemical modelling intrinsic limitation introduce a large uncertainty in the modelled results and in order to evaluate the dependence of the results from the modeling code, a different thermodynamic approach, such as the modelling software GEM (Gibbs Energy Minimization approach), is required.
    Description: Published
    Description: Vienna, Austria
    Description: 2.4. TTC - Laboratori di geochimica dei fluidi
    Description: open
    Keywords: Geochemical modeling ; Weyburn Project ; 03. Hydrosphere::03.01. General::03.01.01. Analytical and numerical modeling
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Poster session
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 41
    Monograph available for loan
    Monograph available for loan
    New York [u.a.] : Oxford University Press
    Type of Medium: Monograph available for loan
    Pages: XIV, 354 S , Ill., graph. Darst., Kt.
    ISBN: 0195154312 , 9780195154313
    Series Statement: Long-Term Ecological Research Network series
    Language: English
    Location: AWI Reading room
    Branch Library: AWI Library
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 42
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Naish, Tim R; Powell, Ross; Levy, Richard H; Wilson, Gary S; Scherer, Reed P; Talarico, Franco M; Krissek, Lawrence A; Niessen, Frank; Pompilio, Massimo; Wilson, Terry; Carter, Lionel; DeConto, Robert M; Huybers, Peter; McKay, Robert M; Pollard, David; Ross, J; Winter, Diane M; Barrett, Peter J; Browne, G; Cody, Rosemary; Cowan, Ellen A; Crampton, James; Dunbar, Gavin B; Dunbar, Nelia W; Florindo, Fabio; Gebhardt, Catalina; Graham, I J; Hannah, Mike J; Hansaraj, D; Harwood, David M; Helling, D; Henrys, Stuart A; Hinnov, Linda A; Kuhn, Gerhard; Kyle, Philip R; Läufer, Andreas; Maffioli, P; Magens, Diana; Mandernack, Kevin W; McIntosh, W C; Millan, C; Morin, Roger H; Ohneiser, Christian; Paulsen, Timothy S; Persico, Davide; Raine, J Ian; Reed, J; Riesselman, Christina R; Sagnotti, Leonardo; Schmitt, Douglas R; Sjunneskog, Charlotte; Strong, P; Taviani, Marco; Vogel, Stefan; Wilch, T; Williams, Trevor J (2009): Obliquity-paced Pliocene West Antarctic ice sheet oscillations. Nature, 458(7236), 322-329, https://doi.org/10.1038/nature07867
    Publication Date: 2024-05-06
    Description: Thirty years after oxygen isotope records from microfossils deposited in ocean sediments confirmed the hypothesis that variations in the Earth's orbital geometry control the ice ages (Hays et al., 1976, doi:10.1126/science.194.4270.1121), fundamental questions remain over the response of the Antarctic ice sheets to orbital cycles (Raymo and Huybers, 2008, doi:10.1038/nature06589). Furthermore, an understanding of the behaviour of the marine-based West Antarctic ice sheet (WAIS) during the 'warmer-than-present' early-Pliocene epoch (~5-3 Myr ago) is needed to better constrain the possible range of ice-sheet behaviour in the context of future global warming (Solomon et al., 2007). Here we present a marine glacial record from the upper 600 m of the AND-1B sediment core recovered from beneath the northwest part of the Ross ice shelf by the ANDRILL programme and demonstrate well-dated, ~40-kyr cyclic variations in ice-sheet extent linked to cycles in insolation influenced by changes in the Earth's axial tilt (obliquity) during the Pliocene. Our data provide direct evidence for orbitally induced oscillations in the WAIS, which periodically collapsed, resulting in a switch from grounded ice, or ice shelves, to open waters in the Ross embayment when planetary temperatures were up to ~3° C warmer than today ( Kim and Crowley, 2000, doi:10.1029/1999PA000459) and atmospheric CO2 concentration was as high as ~400 p.p.m.v. (van der Burgh et al., 1993, doi:10.1126/science.260.5115.1788, Raymo et al., 1996, doi:10.1016/0377-8398(95)00048-8). The evidence is consistent with a new ice-sheet/ice-shelf model (Pollard and DeConto, 2009, doi:10.1038/nature07809) that simulates fluctuations in Antarctic ice volume of up to +7 m in equivalent sea level associated with the loss of the WAIS and up to +3 m in equivalent sea level from the East Antarctic ice sheet, in response to ocean-induced melting paced by obliquity. During interglacial times, diatomaceous sediments indicate high surface-water productivity, minimal summer sea ice and air temperatures above freezing, suggesting an additional influence of surface melt (Huybers, 2006, doi:10.1126/science.1125249) under conditions of elevated CO2.
    Keywords: Age, comment; Age, error; Age model; Age model, optional; Ageprofile Datum Description; AND1-1B; AND-1B; ANDRILL; Antarctic Geological Drilling; D-ANDRILL; Datum level; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DRILL; Drilling/drill rig; McMurdo Ice Shelf; McMurdo Station; Method comment; MIS; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; SPP1158
    Type: Dataset
    Format: text/tab-separated-values, 129 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 43
    facet.materialart.
    Unknown
    PANGAEA
    In:  National Institute of Polar Research, Tokyo
    Publication Date: 2024-05-06
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Monitoring station; MONS; Pyranometer, EKO, MS-43, SN 8631, WRMC No. 17002; Pyranometer, EKO, MS-801, SN 86023, WRMC No. 17004; Pyrgeometer, Eppley, PIR, SN 30431F3, WRMC No. 17013; Pyrheliometer, EKO, MS-53, SN 92009, WRMC No. 17009; Short-wave downward (GLOBAL) radiation; Station pressure; SYO; Syowa; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 180276 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 44
    facet.materialart.
    Unknown
    PANGAEA
    In:  National Institute of Polar Research, Tokyo
    Publication Date: 2024-05-06
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Monitoring station; MONS; Pyranometer, EKO, MS-801, SN 86023, WRMC No. 17004; Pyranometer, EKO, MS-801, SN 86024, WRMC No. 17005; Pyrgeometer, Eppley, PIR, SN 30431F3, WRMC No. 17013; Pyrheliometer, EKO, MS-53, SN 93005, WRMC No. 17010; Short-wave downward (GLOBAL) radiation; Station pressure; SYO; Syowa; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 180784 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 45
    facet.materialart.
    Unknown
    PANGAEA
    In:  National Institute of Polar Research, Tokyo
    Publication Date: 2024-05-06
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Monitoring station; MONS; Pyranometer, EKO, MS-801, SN 86023, WRMC No. 17004; Pyranometer, EKO, MS-801, SN 86024, WRMC No. 17005; Pyrgeometer, Eppley, PIR, SN 30431F3, WRMC No. 17013; Pyrheliometer, EKO, MS-53, SN 93005, WRMC No. 17010; Short-wave downward (GLOBAL) radiation; Station pressure; SYO; Syowa; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 179776 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 46
    facet.materialart.
    Unknown
    PANGAEA
    In:  National Institute of Polar Research, Tokyo
    Publication Date: 2024-05-06
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Monitoring station; MONS; Pyranometer, EKO, MS-801, SN 86023, WRMC No. 17004; Pyranometer, EKO, MS-801, SN 86024, WRMC No. 17005; Pyrgeometer, Eppley, PIR, SN 30431F3, WRMC No. 17013; Pyrheliometer, EKO, MS-53, SN 93005, WRMC No. 17010; Short-wave downward (GLOBAL) radiation; Station pressure; SYO; Syowa; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 166484 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 47
    facet.materialart.
    Unknown
    PANGAEA
    In:  National Institute of Polar Research, Tokyo
    Publication Date: 2024-05-06
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Monitoring station; MONS; Pyranometer, EKO, MS-801, SN 86023, WRMC No. 17004; Pyranometer, EKO, MS-801, SN 86024, WRMC No. 17005; Pyrgeometer, Eppley, PIR, SN 30431F3, WRMC No. 17013; Pyrheliometer, EKO, MS-53, SN 93005, WRMC No. 17010; Short-wave downward (GLOBAL) radiation; Station pressure; SYO; Syowa; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 151954 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 48
    facet.materialart.
    Unknown
    PANGAEA
    In:  National Institute of Polar Research, Tokyo
    Publication Date: 2024-05-06
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Monitoring station; MONS; Pyranometer, EKO, MS-801, SN 86023, WRMC No. 17004; Pyranometer, EKO, MS-801, SN 86024, WRMC No. 17005; Pyrgeometer, Eppley, PIR, SN 30431F3, WRMC No. 17013; Pyrheliometer, EKO, MS-53, SN 93005, WRMC No. 17010; Short-wave downward (GLOBAL) radiation; Station pressure; SYO; Syowa; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 157891 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 49
    facet.materialart.
    Unknown
    PANGAEA
    In:  National Institute of Polar Research, Tokyo
    Publication Date: 2024-05-06
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Monitoring station; MONS; Pyranometer, EKO, MS-801, SN 86023, WRMC No. 17004; Pyranometer, EKO, MS-801, SN 86024, WRMC No. 17005; Pyrgeometer, Eppley, PIR, SN 30431F3, WRMC No. 17013; Pyrheliometer, EKO, MS-53, SN 93005, WRMC No. 17010; Short-wave downward (GLOBAL) radiation; Station pressure; SYO; Syowa; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 170007 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 50
    facet.materialart.
    Unknown
    PANGAEA
    In:  National Institute of Polar Research, Tokyo
    Publication Date: 2024-05-06
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 970397, WRMC No. 17022; Pyranometer, Kipp & Zonen, CM21, SN 980520, WRMC No. 17025; Pyranometer, Kipp & Zonen, CM21, SN 990574, WRMC No. 17026; Pyrgeometer, Eppley, PIR, SN 30431F3, WRMC No. 17013; Pyrgeometer, Eppley, PIR, SN 32032F3, WRMC No. 17023; Pyrheliometer, EKO, MS-53, SN 92009, WRMC No. 17009; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; SYO; Syowa; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1034536 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...