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  • International Polar Year (2007-2008); IPY  (4)
  • 106KL; 138-846; 201-1228; 54-2-PG9; Alkenone, unsaturation index UK'37; AMPH-019G; AMPH01AR; AMPH-025G; AMPHITRITE; Argo; B0406; BC; Box corer; Calculated from UK'37 (Prahl et al., 1988); CARR12; Cocos Ridge; COMPCORE; Composite Core; Core; CORE; DEPTH, sediment/rock; DWBG-140G; DWBG-143; DWBG-144; Eastern Equatorial Pacific; Equatorial East Pacific; Event label; GC; GC_10; Genesis III, RR9702A; Giant piston corer; GPC; Gravity corer; GS7202-18; GS7202-19; GS7202-20; GS7202-22; GS7202-23; GS7202-24; GS7202-38; GS7202-40; GS7202-46; GS7202-52; Hakuho-Maru; HY06; IMAGES VIII - MONA; interpolated; Joides Resolution; KH-03-1; KL; Knorr; KNR176-2; KNR176-2-MC11; KNR176-2-MC14; KNR176-2-MC21; KNR176-2-MC24; KNR176-2-MC28; KNR176-2-MC33; KNR176-2-MC37; KNR176-2-MC4; KNR176-2-MC40; KNR176-2-MC5; KNR176-2-MC7; KNR182-9; KNR182-9-MC10; KNR182-9-MC12; KNR182-9-MC13; KNR182-9-MC14; KNR182-9-MC15; KNR182-9-MC16; KNR182-9-MC17; KNR182-9-MC2; KNR182-9-MC3; KNR182-9-MC4; KNR182-9-MC6; KNR182-9-MC7; KNR182-9-MC8; KNR182-9-MC9; KNR195-5; KNR195-5-MC11; KNR195-5-MC12; KNR195-5-MC16; KNR195-5-MC18; KNR195-5-MC22; KNR195-5-MC25; KNR195-5-MC33; KNR195-5-MC34; KNR195-5-MC38; KNR195-5-MC42; KNR195-5-MC9; Leg138; Leg201; Longitude of event; Marion Dufresne (1995); MD022529; MD02-2529; MD126; ME0005A; ME0005A-04MC4; ME0005A-07MC3; ME0005A-08MC3; ME0005A-14MC2; ME0005A-15MC6; ME0005A-20MC8; ME0005A-21MC3; ME0005A-25MC5; ME0005A-29MC2; ME0005A-35MC1; ME0005A-38MC2; ME0005A-41MC2; Melville; Moana Wave; MUC; MultiCorer; MW8708; MWSC2; MWSC7; NEMO; P6702-11G; P6702-13G; P6702-34G; P6702-4G; P6702-52G; P6702-59; Pacific Ocean; Panama Basin; PC; Peru_Upwelling; Peru1MC3; Peru2MC4; Peru3MC1; Peru4MC2; PERU-AUFTRIEB; Piston corer; Piston corer (BGR type); PLDS-066BX; PLDS-068BX; PLDS-070BX; PLDS-072BX; PLDS-074BX; PLDS-077BX; PLDS-090BX; PLDS-3; Pleiades; PUBS I; RC11; RC1112; RC11-238; RC13; RC13-106; RC13-108; RC13-142; RC18; RC18-46; RC18-48; RC23; RC23-20; Reference/source; Robert Conrad; Roger A. Revelle; RR9702A; RR9702A-62MC3; RR9702A-64MC1; RR9702A-66MC1; RR9702A-68MC3; RR9702A-70MC3; RR9702A-72MC3; RR9702A-74MC2; RR9702A-77MC2; RR9702A-80MC7; RR9702A-82MC; RR9702A-83MC; SC3; SCAN; SCAN-095G; Sea surface temperature, annual mean; SO147; SO147_106KL; Sonne; South-East Pacific; South Pacific Ocean; Temperature, difference; TG7; Thomas Washington; TR163-19; TR163-22; TR163-31; V19; V19-27; V19-28; V19-30; V21; V21-30; Vema; VNTR01; VNTR01-10GC; VNTR01-12GC; VNTR01-19PC; VNTR01-21GC; VNTR01-8PC; VNTR01-9PC; W7706; W7706-40; Wecoma; World Ocean; Y69-71P; YALOC69; Yaquina  (1)
  • PANGAEA  (5)
  • 2010-2014  (5)
  • 1980-1984
  • 1940-1944
  • 2012  (5)
Collection
Keywords
Publisher
  • PANGAEA  (5)
Years
  • 2010-2014  (5)
  • 1980-1984
  • 1940-1944
Year
  • 1
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Gantner, Nikolaus; Veillette, Julie; Michaud, Wendy K; Bajno, Robert; Muir, Derek C G; Vincent, Warwick C; Power, Michael; Dixon, Brian; Reist, James D; Hausmann, Sonja; Pienitz, Reinhard (2012): Physical and biological factors affecting mercury and perfluorinated contaminants in arctic char (Salvelinus alpinus) of Pingualuit Crater Lake (Nunavik, Canada). Arctic, 65(2), 195-206, https://doi.org/10.14430/arctic4200
    Publication Date: 2023-12-13
    Description: Pingualuk Lake fills a deep crater in the Parc National des Pingualuit on the Ungava Peninsula (Nunavik, Canada) and is isolated from nearby surface waters. The main objectives of this study were to determine and compare the concentrations of two atmospherically derived contaminants, mercury and perfluorinated chemicals (PFCs), in the lake water column and fish of Pingualuk Lake and to assess the physical and biological factors influencing contaminant concentrations. Mercury concentrations in arctic char muscle tissue were comparable to those of char in other Arctic lakes, while the total amount of PFCs was below reported levels for remote lakes in the Arctic and elsewhere. Stable isotope and stomach content analyses were made to investigate the feeding ecology of the Pingualuk Lake arctic char population and indicated the possibility of multiple feeding groups. Genetics characteristics (MH and mtDNA) of fish from Pingualuk Lake revealed that this population is likely distinct from that of nearby Laflamme Lake. However, both arctic char populations exhibit differential variation of their allele families. Physical characteristics determined for Lake Pingualuk revealed that the water column was inversely stratified beneath the ice and extremely transparent to visible and ultraviolet radiation. The highest mercury concentrations (3- 6 pg/mL THg) occurred just beneath the ice surface in each lake. Pingualuk Lake, given its near pristine state and exceptional limnological features, may serve as a most valuable reference ecosystem for monitoring environmental stressors, such as contaminants, in the Arctic.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
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  • 2
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Kienast, Markus; MacIntyre, G; Dubois, Nathalie; Higginson, S; Normandeau, Claire; Chazen, S; Herbert, Timothy D (2012): Alkenone unsaturation in surface sediments from the eastern equatorial Pacific: Implications for SST reconstructions. Paleoceanography, 27(1), PA1210, https://doi.org/10.1029/2011PA002254
    Publication Date: 2024-02-05
    Description: Significant uncertainties persist in the reconstruction of past sea surface temperatures in the eastern equatorial Pacific, especially regarding the amplitude of the glacial cooling and the details of the post-glacial warming. Here we present the first regional calibration of alkenone unsaturation in surface sediments versus mean annual sea surface temperatures (maSST). Based on 81 new and 48 previously published data points, it is shown that open ocean samples conform to established global regressions of Uk'37 versus maSST and that there is no systematic bias from seasonality in the production or export of alkenones, or from surface ocean nutrient concentrations or salinity. The flattening of the regression at the highest maSSTs is found to be statistically insignificant. For the near-coastal Peru upwelling zone between 11-15°S and 76-79°W, however, we corroborate earlier observations that Uk'37 SST estimates significantly over-estimate maSSTs at many sites. We posit that this is caused either by uncertainties in the determination of maSSTs in this highly dynamic environment, or by biasing of the alkenone paleothermometer toward El Niño events as postulated by Rein et al. (2005).
    Keywords: 106KL; 138-846; 201-1228; 54-2-PG9; Alkenone, unsaturation index UK'37; AMPH-019G; AMPH01AR; AMPH-025G; AMPHITRITE; Argo; B0406; BC; Box corer; Calculated from UK'37 (Prahl et al., 1988); CARR12; Cocos Ridge; COMPCORE; Composite Core; Core; CORE; DEPTH, sediment/rock; DWBG-140G; DWBG-143; DWBG-144; Eastern Equatorial Pacific; Equatorial East Pacific; Event label; GC; GC_10; Genesis III, RR9702A; Giant piston corer; GPC; Gravity corer; GS7202-18; GS7202-19; GS7202-20; GS7202-22; GS7202-23; GS7202-24; GS7202-38; GS7202-40; GS7202-46; GS7202-52; Hakuho-Maru; HY06; IMAGES VIII - MONA; interpolated; Joides Resolution; KH-03-1; KL; Knorr; KNR176-2; KNR176-2-MC11; KNR176-2-MC14; KNR176-2-MC21; KNR176-2-MC24; KNR176-2-MC28; KNR176-2-MC33; KNR176-2-MC37; KNR176-2-MC4; KNR176-2-MC40; KNR176-2-MC5; KNR176-2-MC7; KNR182-9; KNR182-9-MC10; KNR182-9-MC12; KNR182-9-MC13; KNR182-9-MC14; KNR182-9-MC15; KNR182-9-MC16; KNR182-9-MC17; KNR182-9-MC2; KNR182-9-MC3; KNR182-9-MC4; KNR182-9-MC6; KNR182-9-MC7; KNR182-9-MC8; KNR182-9-MC9; KNR195-5; KNR195-5-MC11; KNR195-5-MC12; KNR195-5-MC16; KNR195-5-MC18; KNR195-5-MC22; KNR195-5-MC25; KNR195-5-MC33; KNR195-5-MC34; KNR195-5-MC38; KNR195-5-MC42; KNR195-5-MC9; Leg138; Leg201; Longitude of event; Marion Dufresne (1995); MD022529; MD02-2529; MD126; ME0005A; ME0005A-04MC4; ME0005A-07MC3; ME0005A-08MC3; ME0005A-14MC2; ME0005A-15MC6; ME0005A-20MC8; ME0005A-21MC3; ME0005A-25MC5; ME0005A-29MC2; ME0005A-35MC1; ME0005A-38MC2; ME0005A-41MC2; Melville; Moana Wave; MUC; MultiCorer; MW8708; MWSC2; MWSC7; NEMO; P6702-11G; P6702-13G; P6702-34G; P6702-4G; P6702-52G; P6702-59; Pacific Ocean; Panama Basin; PC; Peru_Upwelling; Peru1MC3; Peru2MC4; Peru3MC1; Peru4MC2; PERU-AUFTRIEB; Piston corer; Piston corer (BGR type); PLDS-066BX; PLDS-068BX; PLDS-070BX; PLDS-072BX; PLDS-074BX; PLDS-077BX; PLDS-090BX; PLDS-3; Pleiades; PUBS I; RC11; RC1112; RC11-238; RC13; RC13-106; RC13-108; RC13-142; RC18; RC18-46; RC18-48; RC23; RC23-20; Reference/source; Robert Conrad; Roger A. Revelle; RR9702A; RR9702A-62MC3; RR9702A-64MC1; RR9702A-66MC1; RR9702A-68MC3; RR9702A-70MC3; RR9702A-72MC3; RR9702A-74MC2; RR9702A-77MC2; RR9702A-80MC7; RR9702A-82MC; RR9702A-83MC; SC3; SCAN; SCAN-095G; Sea surface temperature, annual mean; SO147; SO147_106KL; Sonne; South-East Pacific; South Pacific Ocean; Temperature, difference; TG7; Thomas Washington; TR163-19; TR163-22; TR163-31; V19; V19-27; V19-28; V19-30; V21; V21-30; Vema; VNTR01; VNTR01-10GC; VNTR01-12GC; VNTR01-19PC; VNTR01-21GC; VNTR01-8PC; VNTR01-9PC; W7706; W7706-40; Wecoma; World Ocean; Y69-71P; YALOC69; Yaquina
    Type: Dataset
    Format: text/tab-separated-values, 631 data points
    Location Call Number Expected Availability
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  • 3
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Hedenås, Henrik; Carlsson, Bengt Å; Emanuelsson, Urban; Headley, Alistair D; Jonasson, Christer; Svensson, Brita M; Callaghan, Terry V (2012): Changes versus homeostasis in Alpine and Sub-Alpine vegetation over three decades in the Sub-Arctic. AMBIO, 41(S3), 187-196, https://doi.org/10.1007/s13280-012-0312-3
    Publication Date: 2023-12-13
    Description: Plant species distributions are expected to shift and diversity is expected to decline as a result of global climate change, particularly in the Arctic where climate warming is amplified. We have recorded the changes in richness and abundance of vascular plants at Abisko, sub-Arctic Sweden, by re-sampling five studies consisting of seven datasets; one in the mountain birch forest and six at open sites. The oldest study was initiated in 1977-1979 and the latest in 1992. Total species number increased at all sites except for the birch forest site where richness decreased. We found no general pattern in how composition of vascular plants has changed over time. Three species, Calamagrostis lapponica, Carex vaginata and Salix reticulata, showed an overall increase in cover/frequency, while two Equisetum taxa decreased. Instead, we showed that the magnitude and direction of changes in species richness and composition differ among sites.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 8 datasets
    Location Call Number Expected Availability
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  • 4
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Sinnatamby, R Niloshini; Babaluk, John A; Power, Geoff; Reist, James D; Power, Michael (2012): Summer habitat use and feeding of juvenile Arctic charr, Salvelinus alpinus, in the Canadian High Arctic. Ecology of Freshwater Fish, 21(2), 309-322, https://doi.org/10.1111/j.1600-0633.2012.00552.x
    Publication Date: 2023-12-13
    Description: Owing to limited knowledge of the habitat use and diet of juvenile Arctic charr from the High Arctic, particularly young-of-the-year (YOY), we assembled data obtained from samples taken in and around Lake Hazen, Nunavut, Canada, to assess juvenile habitat use and feeding. Juvenile charr demonstrated a preference for stream environments, particularly those fed by warm upstream ponds. Charr occupying both stream and nearshore lake habitats were found to feed similarly, with chironomids occurring most frequently in diets. Some older stream-dwelling charr preyed on smaller, younger Arctic charr. Preferred stream occupancy is likely mediated by physical barriers created mainly by water velocity, and by distance from the lake, lake-ice dynamics, low water depth, and turbidity. Water velocities resulted in stream habitat segregation by size, with YOY mainly found in low-velocity pools and back eddies adjacent to stream banks, but not in water velocities 〉0.1 m/s. Greatest charr densities in streams were found in small, shallow, slow-flowing side channels, which are highly susceptible to drought. Under predicted climate change scenarios, streams fed by small ponds will be susceptible to intermittent flow conditions, which could result in increased competition among juvenile charr for the remaining stream habitats. In addition, glacier-fed streams are likely to experience increased flow conditions that will exacerbate physical barriers created by water velocity and further reduce the availability of preferred stream habitat.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
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  • 5
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Heide-Jørgensen, Mads Peter; Laidre, Kristin L; Litovka, D; Villum Jensen, M; Grebmeier, Jacqueline M; Sirenko, Boris I (2012): Identifying gray whale (Eschrichtius robustus) foraging grounds along the Chukotka Peninsula, Russia, using satellite telemetry. Polar Biology, 35(7), 1035-1045, https://doi.org/10.1007/s00300-011-1151-6
    Publication Date: 2023-12-13
    Description: The purpose of this study was to evaluate summer and fall residency and habitat selection by gray whales, Eschrichtius robustus, together with the biomass of benthic amphipod prey on the coastal feeding grounds along the Chukotka Peninsula. Thirteen gray whales were instrumented with satellite transmitters in September 2006 near the Chukotka Peninsula, Russia. Nine transmitters provided positions from whales for up to 81 days. The whales travelled within 5 km of the Chukotka coast for most of the period they were tracked with only occasional movements offshore. The average daily travel speeds were 23 km/day (range 9-53 km/day). Four of the whales had daily average travel speeds 〈1 km/day suggesting strong fidelity to the study area. The area containing 95% of the locations for individual whales during biweekly periods was on average 13,027 km**2 (range 7,097-15,896 km**2). More than 65% of all locations were in water 〈30 m, and between 45 and 70% of biweekly kernel home ranges were located in depths between 31 and 50 m. Benthic density of amphipods within the Bering Strait at depths 〈50 m was on average ~54 g wet wt/m**2 in 2006. It is likely that the abundant benthic biomass is more than sufficient forage to support the current gray whale population. The use of satellite telemetry in this study quantifies space use and movement patterns of gray whales along the Chukotka coast and identifies key feeding areas.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
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