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  • 2020-2024  (70)
  • 1990-1994  (226)
  • 1950-1954  (3)
  • 1930-1934  (2)
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  • 1
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    Sediment structure and deposition rates in the Yukon coast (2021)
    PANGAEA
    Details
    Publication Date: 2024-01-08
    Description: The aim of this project was to investigate nearshore depositional processes in the Arctic within the last century. For this study sediment cores were retrieved from lagoon and marine sites at Kanivaliuraq – Ptarmigan Bay (lagoon) and Herschel Basin (marine). The lagoon (YC18-PB-SC01, 64 cm length) and two marine (YC18-HB-GC01, 40 cm length; and PG2303-1, 20 cm length) sediment cores, were collected at 3, 18 and 43 m water depth, respectively. Sampling missions took place in April 2016 and August 2018 in the nearshore areas of the southern Beaufort Sea along the Yukon North Slope in the western Canadian Arctic. Lagoon core YC18-PB-SC01 was taken with a percussion corer and marine cores with an UWITEC gravity corer. The cores were kept cool and dark until further analysis in the laboratories. Mineralogy composition was obtained by X-ray diffraction (XRD) of bulk sediment (well ground and mixed) through a Siemens D500 X-Ray diffractometer and the spectra were resolved with EVA Bruker-AXS software. The grain size analysis results are presented in three groups, particles between 2 mm and 63 µm, 63 µm and 2 µm and smaller than 2 µm. All samples were treated with peroxide (30%) before laser diffraction to remove organic matter particles. Grain size analysis was performed using a Microtrac MRB's Bluewave and a Partica HORIBA laser diffraction device. The 210Pb activities were obtained by assuming a secular equilibrium with 210Po and using a spike of 209Po. Samples were digested by acid solutions (HNO3, HCl, HF and HNO3+H2O2). Both polonium radionuclides were deposited on a silver disk and measured by alpha spectrometry using ORTEC detectors coupled to MaestroTM data acquisition software. 226Ra and 137Cs activity were assessed by high-resolution gamma spectrometry through a germanium detector (ORTEC). The ages, mass and sediment accumulation rates (MAR and SAR, respectively) were inferred by a Constant Flux model also known as Constant Rate of Supply model. All uncertainties were calculated by Monte Carlo method.
    Keywords: Arctic Ocean; chronology; estuaries; Lagoon; marine sediments; mineralogy; Nearshore; Permafrost coasts
    Type: Dataset
    Format: application/zip, 3 datasets
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    DATA PANGAEA
  • 2
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    Sediment structure and deposition rates of sediment core YC18 PB SCO1 (2021)
    PANGAEA
    Details
    Publication Date: 2024-01-08
    Keywords: Accumulation rate, mass, per year; Accumulation rate, mass, per year, uncertainty; Age; Age, uncertainty; Albite; Alpha spectrometry quadratic propagation; Amphibole; Arctic Ocean; Caesium-137; Caesium-137, uncertainty; Calcite; Chlorite; chronology; Density, dry bulk; Density, dry bulk, uncertainty; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dolomite; Elapsed time; Elapsed time, uncertainty; estuaries; Gamma spectrometry quadratic propagation; Halite; Illite; Kaolinite; Lagoon; Lead-210; Lead-210, uncertainty; Lead-210 excess; Lead-210 excess, uncertainty; marine sediments; Mass per area; Mass per area, standard deviation; Microcline; mineralogy; Monte Carlo; Nearshore; PCOR; Percussion corer; Permafrost coasts; Pyrite, FeS2; Pyroxene; Quadratic propagation; Quartz; Radium-226; Radium-226, uncertainty; Sample code/label; Section; Sedimentation rate per year; Sedimentation rate per year, uncertainty; Size fraction 〈 0.002 mm, clay; Size fraction 〈 0.002 mm, clay, standard deviation; Size fraction 0.002-0.00063 mm; Size fraction 0.002-0.00063 mm, standard deviation; Size fraction 1.000-0.063 mm; Size fraction 1.000-0.063 mm, standard deviation; Smectite; South Beaufort Sea; YC18_PB_SCO1
    Type: Dataset
    Format: text/tab-separated-values, 1804 data points
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    DATA PANGAEA
  • 3
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    Sediment structure and deposition rates of sediment core YC18 HB GCO1 (2021)
    PANGAEA
    Details
    Publication Date: 2024-01-08
    Keywords: Albite; Alpha spectrometry quadratic propagation; Amphibole; Arctic Ocean; Caesium-137, activity per mass; Caesium-137, uncertainty; Calcite; Chlorite; chronology; Density, dry bulk; Density, dry bulk, uncertainty; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dolomite; Dry mass; Dry mass, standard deviation; estuaries; Gamma spectrometry quadratic propagation; GCUWI; Gravity corer, UWITEC; Halite; Illite; Kaolinite; Lagoon; Lead-210, uncertainty; Lead-210 activity per mass; Lead-210 excess; Lead-210 excess, uncertainty; marine sediments; Mass per area; Mass per area, standard deviation; Microcline; mineralogy; Nearshore; Permafrost coasts; Pyrite, FeS2; Pyroxene; Quadratic propagation; Quartz; Radium-226, uncertainty; Radium-226 activity per mass; Sample code/label; Section; Size fraction 〈 0.002 mm, clay; Size fraction 〈 0.002 mm, clay, standard deviation; Size fraction 0.002-0.00063 mm; Size fraction 0.002-0.00063 mm, standard deviation; Size fraction 1.000-0.063 mm; Size fraction 1.000-0.063 mm, standard deviation; Smectite; YC18_HB_GCO1
    Type: Dataset
    Format: text/tab-separated-values, 1272 data points
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    DATA PANGAEA
  • 4
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    Sediment structure and deposition rates of sediment core PG2303 1 (2021)
    PANGAEA
    Details
    Publication Date: 2024-01-08
    Keywords: Albite; Alpha spectrometry quadratic propagation; Amphibole; Arctic Ocean; Caesium-137; Caesium-137, uncertainty; Calcite; Chlorite; chronology; Density, dry bulk; Density, dry bulk, uncertainty; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dolomite; Dry mass; Dry mass, standard deviation; estuaries; Gamma spectrometry quadratic propagation; GCUWI; Gravity corer, UWITEC; Halite; Illite; Kaolinite; Lagoon; Lead-210; Lead-210, uncertainty; Lead-210 excess; Lead-210 excess, uncertainty; marine sediments; Mass per area; Mass per area, standard deviation; Microcline; mineralogy; Nearshore; Permafrost coasts; PG2303_1; Pyrite, FeS2; Pyroxene; Quadratic propagation; Quartz; Radium-226; Radium-226, uncertainty; Sample code/label; Section; Size fraction 〈 0.002 mm, clay; Size fraction 〈 0.002 mm, clay, standard deviation; Size fraction 0.002-0.00063 mm; Size fraction 0.002-0.00063 mm, standard deviation; Size fraction 1.000-0.063 mm; Size fraction 1.000-0.063 mm, standard deviation; Smectite; South Beaufort Sea
    Type: Dataset
    Format: text/tab-separated-values, 767 data points
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    DATA PANGAEA
  • 5
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    Seawater carbonate chemistry and net calcification of Porites, Zoanthus growth and maximum PSII efficiency of Porites and Zoanthus (2022)
    PANGAEA
    Details
    Publication Date: 2024-03-15
    Description: Ocean acidification (OA) threatens the persistence of reef-building corals and the habitat they provide. While species-specific effects of OA on marine organisms could have cascading effects on ecological interactions like competition, few studies have identified how benthic reef competitors respond to OA. We explored how two common Caribbean competitors, branching Porites and a colonial zoanthid (Zoanthus), respond to the factorial combination of OA and competition. In the laboratory, we exposed corals, zoanthids and interacting corals and zoanthids to ambient (8.01 ± 0.03) and OA (7.68 ± 0.07) conditions for 60 days. The OA treatment had no measured effect on zoanthids or coral calcification but decreased Porites maximum PSII efficiency. Conversely, the competitive interaction significantly decreased Porites calcification but had minimal-to-no countereffects on the zoanthid. Although this interaction was not exacerbated by the 60-day OA exposure, environmental changes that enhance zoanthid performance could add to the dominance of zoanthids over corals. The lack of effects of OA on coral calcification indicates that near-term competitive interactions may have more immediate consequences for some corals than future global change scenarios. Disparate consequences of competition have implications for community structure and should be accounted for when evaluating local coral reef trajectories.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Benthic animals; Benthos; Bicarbonate ion; Bicarbonate ion, standard deviation; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Calcification rate of calcium carbonate; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using seacarb; Calculated using seacarb after Nisumaa et al. (2010); Calculated using seacarb after Orr et al. (2018); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Cnidaria; Coast and continental shelf; EXP; Experiment; Fragments; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Fugacity of carbon dioxide in seawater, standard deviation; Growth/Morphology; Identification; Island_Point; Laboratory experiment; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Photosynthetic efficiency; Polyp number; Porites furcata; Potentiometric; Potentiometric titration; Primary production/Photosynthesis; Salinity; Salinity, standard deviation; Species; Species interaction; Temperature, water; Temperature, water, standard deviation; Treatment; Tropical; Type; Zoanthus sp.
    Type: Dataset
    Format: text/tab-separated-values, 22876 data points
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    DATA PANGAEA
  • 6
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    Seawater carbonate chemistry and calcification rate of crustose coralline alga (2021)
    PANGAEA
    Details
    Publication Date: 2024-03-15
    Description: Prior exposure to variable environmental conditions is predicted to influence the resilience of marine organisms to global change. We conducted complementary 4-month field and laboratory experiments to understand how a dynamic, and sometimes extreme, environment influences growth rates of a tropical reef-building crustose coralline alga and its responses to ocean acidification (OA). Using a reciprocal transplant design, we quantified calcification rates of the Caribbean coralline Lithophyllum sp. at sites with a history of either extreme or moderate oxygen, temperature, and pH regimes. Calcification rates of in situ corallines at the extreme site were 90% lower than those at the moderate site, regardless of origin. Negative effects of corallines originating from the extreme site persisted even after transplanting to more optimal conditions for 20 weeks. In the laboratory, we tested the separate and combined effects of stress and variability by exposing corallines from the same sites to either ambient (Amb: pH 8.04) or acidified (OA: pH 7.70) stable conditions or variable (Var: pH 7.80-8.10) or acidified variable (OA-Var: pH 7.45-7.75) conditions. There was a negative effect of all pH treatments on Lithophyllum sp. calcification rates relative to the control, with lower calcification rates in corallines from the extreme site than from the moderate site in each treatment, indicative of a legacy effect of site origin on subsequent response to laboratory treatment. Our study provides ecologically relevant context to understanding the nuanced effects of OA on crustose coralline algae, and illustrates how local environmental regimes may influence the effects of global change.
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Aragonite saturation state; Benthos; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Calcification rate of calcium carbonate; Calcite saturation state; Calcite saturation state, standard error; Calculated using seacarb; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard error; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Cayo_Roldan; Coast and continental shelf; Event label; EXP; Experiment; Field experiment; Flow rate; Flow rate, standard error; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Hospital_Point; Identification; Irradiance; Irradiance, standard error; Laboratory experiment; Lithophyllum sp.; Macroalgae; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Partial pressure of carbon dioxide (water) at sea surface temperature (wet air), standard error; pH; pH, standard error; Plantae; Potentiometric; Potentiometric titration; Replicate; Rhodophyta; Salinity; Salinity, standard error; Single species; Site; Species; Temperature, water; Temperature, water, standard error; Time point, descriptive; Treatment; Tropical; Type
    Type: Dataset
    Format: text/tab-separated-values, 15767 data points
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  • 7
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    Early meteorological records from Extremadura region, SW Iberia (CliPastExtrem) (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: Meteorological observations made in the region of Extremadura (SW Iberia) from 1826 to mid-20th century have been retrieved. Variables such as air temperature, atmospheric pressure, precipitation, wind direction and humidity, among other, were recorded in these observations. In total, more than 700000 instrumental data were digitized (79.8 % with daily resolution).
    Keywords: Ahillones, Spain; Alange, Spain; Alburquerque, Spain; Alía, Spain; Aliseda, Spain; Aljucén, Spain; Almendralejo, Spain; Arroyo de San Serván, Spain; BAAHIL; BAALAN; BAALAN5; BAALBQ; BAALBU; BAALJU; BAALME; BAASER; BABADA; BABARC; BABERR; BACALA; BACAMP; BACAST; BACBUE; BACIJA; BACLAC; BACLLE; BACORN; BACPED; BACPEL; BACSTB; BACVAC; BACVAC2; Badajoz, Spain; BADBEN; BADBEN2; BAFCNT; BAFLEO; BAFMST; BAGRNJ; BAGTOR; BAGUAR; BAHDUQ; BAHLLE; BAHMON; BAHORN; BAHSER; BAJCAB; BALALB; BALANG; BALCOD; BALGAR; BALGUA; BALLER; BALNAV; BALOBN; BALPAR; BALROC; BALSMA; BAMAGA; BAMAGU; BAMENG; BAMERD; BAMIRA; BAMIRL; BAMNTJ; BAMONS; BAMSER; BAMTOR; BANOGA; Baños de Montemayor, Spain; BAOLIV; BAOVIE; BAPALC; BAPENA; BAPHUR; BAPMAE; BAPPRI; BAPREI; BAPZAJ; Barcarrota, Spain; BARENA; Barrado, Spain; BASALV; BASAMA; BASBAR; BASIRU; BASLEO; BASMAR; BASOBA; BASVAL; BATALA; BATORR; BATREA; BAUSAG; BAVALD; BAVFBA; BAVIBA; BAVIMO; BAVISE; BAVLEG; BAVREY; BAVVEN; BAVVEN2; BAZAFR; Berrocal, Spain; Binary Object; Borbollón, Spain; Cabezabellosa, Spain; Cabeza del Buey, Spain; Cabeza la Vaca, Spain; Cáceres, Spain; Calamonte, Spain; Caminomorisco, Spain; Campanario, Spain; Campillo de Llerena, Spain; Campo Maior (Portugal); Cañamero, Spain; Cañaveral, Spain; Casas de Don Pedro, Spain; Castiblanco, Spain; Castuera, Spain; CCALIA; CCALIS; CCBARR; CCBORB; CCCACE; CCCAMI; CCCANA; CCCBEL; CCCNVL; CCCORI; CCCYUS; CCETOR; CCGALI; CCGGRA; CCGRRV; CCGUAD; CCHERV; CCHOYO; CCJARN; CCJARZ; CCLOGR; CCMADR; CCMIAJ; CCMNTZ; CCMONT; CCMPLS; CCNAVM; CCPIOR; CCPLAS; CCPSCR; CCRVER; CCSFUE; CCSTRE; CCTALA; CCTORR; CCVALC; CCVCOR; CCVFRS; CCVILL; CCVILM; CCVISI; CCZORI; Cíjara, Spain; climate; Cordobilla de Lácara, Spain; Coria, Spain; Cornalvo, Spain; Corte de Peleas, Spain; Cuacos de Yuste, Spain; DATE/TIME; Don Benito, Spain; El torno, Spain; Event label; Extremadura; Fuente de Cantos, Spain; Fuente del Maestre, Spain; Fuentes de León, Spain; Galisteo, Spain; Garrovillas, Spain; Granja Badajoz, Spain; Granja de Torrehermosa, Spain; Guadalupe, Spain; Guareña, Spain; Guijo de Granadilla, Spain; Helechosa de los Montes, Spain; Herrera del Duque, Spain; Hervás, Spain; Higuera de la Serena, Spain; Higuera de Llerena, Spain; historical data; Hornachos, Spain; Hoyos, Spain; Iberian Peninsula; Jaraiz de la Vera, Spain; Jarandilla de la Vera, Spain; Jerez de los Caballeros (Aguas Santas), Spain; La Albuera, Spain; La Albuera-Feria, Spain; La Angostura, Spain; La Codosera, Spain; La Garrovilla, Spain; La Guarda, Spain; La Nava de Santiago, Spain; La Parra, Spain; La Roca de la Sierra, Spain; LATITUDE; Llerena, Spain; Lobón, Spain; Logrosán, Spain; LONGITUDE; Los Santos de Maimona, Spain; Madrigalejo, Spain; Magacela, Spain; Maguilla, Spain; Malpartida de Plasencia, Spain; Medina de las Torres, Spain; Mengabril, Spain; Mérida, Spain; meteorological observations; Miajadas, Spain; Miralrio, Spain; Mirandilla, Spain; Monesterio, Spain; Montánchez, Spain; Monterrubio de la Serena, Spain; Montijo, Spain; Navalmoral de la Mata, Spain; Nogales, Spain; Olivenza, Spain; Orellana la Vieja, Spain; Peñalsordo, Spain; Peraleda del Zaucejo, Spain; Piornal, Spain; Plasencia, Spain; PTCAMP; Puebla de Alcocer, Spain; Puebla de la Reina, Spain; Puebla del Maestre, Spain; Puebla del Prior, Spain; Puerto de Santa Cruz, Spain; Puerto Hurraco, Spain; Rena, Spain; Robledillo de la Vera, Spain; Salvaleón, Spain; Salvatierra de los Barros, Spain; San Martín de Trevejo, Spain; Santa Amalia, Spain; Santa Marta, Spain; San Vicente de Alcántara, Spain; Segura de León, Spain; Sierra de Fuentes, Spain; Siruela, Spain; Site; Solana de Barros, Spain; Talarrubias, Spain; Talaván, Spain; Talavera la Real, Spain; Torremayor, Spain; Torremenga, Spain; Usagre, Spain; Valdesevilla, Spain; Valencia de Alcántara(Spain); Valencia del Ventoso, Spain; Valverde de Leganés, Spain; Valverde del Fresno, Spain; Vegas de Coria, Spain; Villafranca de los Barros, Spain; Villalba de los Barros, Spain; Villamiel, Spain; Villanueva de la Serena, Spain; Villanueva de la Sierra, Spain; Villar del Rey, Spain; Villareal, Spain; Villarta de los Montes, Spain; Weather station/meteorological observation; WST; Zafra, Spain; Zorita, Spain
    Type: Dataset
    Format: text/tab-separated-values, 314 data points
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  • 8
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    Capital Social y la Intención de Emprender (2024)
    Editorial Grupo AEA
    Details
    Publication Date: 2024-02-17
    Description: Discovering what factors motivate and influence entrepreneurial activity is a topic of great interest for researchers, socioeconomic policy makers, academics and people in general. Throughout this book, the authors tell us in an entertaining and understandable way how our immediate and distant environment forms a series of values, attitudes and beliefs that predispose or do not predispose the individual to undertake. A book that will undoubtedly enrich our entrepreneurial spirit, answering questions that we have sometimes asked ourselves about people who make the big decision to create their own businesses.
    Description: Published
    Description: Descubrir qué factores motivan e influyen en la actividad emprendedora es un tema de gran interés para investigadores, formuladores de política socioeconómica, académicos y para las personas en general. A lo largo de este libro, los autores nos relatan de forma amena y comprensible cómo nuestro entorno cercano y lejano forma una serie de valores, actitudes y creencias que predisponen o no al individuo a emprender. Un libro que sin duda va a enriquecer nuestro espíritu emprendedor, dando respuesta a preguntas que alguna vez nos hemos planteado en torno a las personas que toman la gran decisión de crear sus propios negocios.
    Keywords: Emprendimiento ; Teoría del Comportamiento Planificado ; Capital Social ; bic Book Industry Communication::K Economics, finance, business & management
    Language: Spanish
    Format: image/jpeg
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    E-BOOK
  • 9
    Electronic Resource
    Electronic Resource
    Synthesis and pharmacological evaluation of enantiomerically pure 4-deoxy-4-fluoromuscarines (1992)
    s.l. : American Chemical Society
    Journal of medicinal chemistry 35 (1992), S. 3102-3110 
    Details
    ISSN: 1520-4804
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/jm00095a003
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  • 10
    Electronic Resource
    Electronic Resource
    Thermal reduction of KTiOPO4 single crystals (1994)
    [S.l.] : American Institute of Physics (AIP)
    Journal of Applied Physics 76 (1994), S. 7510-7518 
    Details
    ISSN: 1089-7550
    Source: AIP Digital Archive
    Topics: Physics
    Notes: KTiOPO4 (KTP) samples heated in vacuum at temperatures in the 400–650 °C range show a broad optical absorption similar to that observed by H2 reduction. The position of the maximum depends on the reduction degree. The transparency of the sample is recovered by heating in air at high temperature (600 °C). Vacuum annealing leads to the reduction of Ti4+ to Ti3+ and also to the reduction of Fe, W, and Rh impurities present in the samples, as inferred from electron paramagnetic resonance measurements. X-ray irradiation at 15 K induces an optical absorption peaking at 585 nm. This absorption has been ascribed to the superposition of the 2T2→2E transition of Ti3+ in the two different Ti sites of the lattice. It is suggested that the absorption observed in vacuum-reduced samples consists of the overlapping of the latter contribution and a charge transfer band of Fe-Ti pairs. A loss of K and P ions has been observed after the annealing of KTP in vacuum at 800 °C forming a surface layer that scatters light. Moreover, the K and P loss decreases the optical absorption induced at lower temperature (T〈650 °C). © 1994 American Institute of Physics.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1063/1.357982
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