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  • 2020-2024  (30)
  • 1970-1974  (514)
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  • 1
    Series available for loan
    Series available for loan
    Washington, DC : Smithsonian Institution Press
    Associated volumes
    Call number: SR 90.0088(13)
    In: Smithsonian contributions to paleobiology
    Type of Medium: Series available for loan
    Pages: 41 S.
    Series Statement: Smithsonian contributions to paleobiology 13
    Language: English
    Location: Lower compact magazine
    Branch Library: GFZ Library
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  • 2
    Series available for loan
    Series available for loan
    Washington, DC : Smithsonian Institution Press
    Associated volumes
    Call number: SR 90.0088(10)
    In: Smithsonian contributions to paleobiology
    Type of Medium: Series available for loan
    Pages: III, 242 S.
    Series Statement: Smithsonian contributions to paleobiology 10
    Language: English
    Location: Lower compact magazine
    Branch Library: GFZ Library
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  • 3
  • 4
    Publication Date: 2023-12-31
    Description: The relationship between δ¹⁸O and salinity has been widely studied because it can provide crucial information on the partitioning of isotopes through the hydrological cycle. Current understanding of δ¹⁸O-S characteristics has been used to constrain water cycle models, isotope-enabled atmospheric and ocean models as well as to monitor evaporation (E) and precipitation (P) changes in major ocean basins. However, in the polar regions, where large spatial and temporal variabilities in δ¹⁸O and salinity are expected due to the highly seasonal sea ice melting/formation, river runoff, E-P intensification and rapidly changing summer ice minimum, uncertainties still surround the δ¹⁸O-Salinity relationship. To observe the inputs of freshwater in a poorly-understood, but vastly changing region in the Arctic, we collected matching δ¹⁸O-Salinity data from discrete samples from the surface (bucket sampling) and from profiles (Conductivity, Temperature, Depth (CTD) casts) in the Canadian Arctic Archipelago (CAA) during the Northwest Passage expedition aboard the RV Oden last 17 July – 04 August 2019. Matching δ¹⁸O-Salinity measurements were also obtained from ice core samples as well as from a precipitation event during the cruise. Here, we present more than 200 new and paired δ¹⁸O-Salinity measurements to help represent water mass end-members for freshwater budgeting as well as understanding the changes in the CAA's hydrologic cycle.
    Keywords: CTD profile; ice core isotopes; Northwest Passage Project; NPP; precipitation isotopes; Salinity; surface salinity; water stable isotopes
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 5
    Publication Date: 2023-12-31
    Description: This data contains one (1) geolocated water stable isotope measurement from one (1) rain event on 29 July 2019. Shipboard rain samples were collected in a separatory funnel filled with a layer of mineral oil to prevent evaporation. Water samples were transferred to a 30-mL Nalgene bottles that were filled to the brim. Bottles were tightly closed, sealed with parafilm, and placed inside sampling bags. It was then transported to the Atmosphere, Climate, and Ecosystems lab at the University of Illinois at Chicago for processing. The δ¹⁸O and dD were measured using a Picarro l2130-I CRDS water isotope analyzer with a wire mesh inserted in the vaporizer inlet. Fifteen injections were made for each sample and necessary corrections to address 'memory effect' were employed. Measurements were normalized using the dD and δ¹⁸O values of internal water standards. Header includes event, latitude, longitude, sampling date, campaign, sampling method, location, isotope analyzer, ¹⁸O values (‰) and D values (‰).
    Keywords: CAA; Canadian Arctic Archipelago; Date/Time of event; Isotope analyzer L2130-i, Picarro Inc.; Latitude of event; Longitude of event; Northwest Passage Project; NPP; NPP19precip; Oden; Oden1907; precipitation isotopes; RAIN; Rain water collector; Salinity; water stable isotopes; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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  • 6
    Publication Date: 2023-12-31
    Description: This data contains 63 geolocated water stable isotopes and salinity measurements from the surface of the ocean along the RV Oden cruise track. Surface seawater sampling was conducted using bucket sampling. This was done by throwing a weighted bucket offboard to sample the surface of the ocean every six (6) hours. Chosen times were 5:00, 11:00, 17:00, and 23:00. Multiple readings of sea surface salinity were recorded using a YSI professional series digital probe per sampling Water samples were transferred to a 30-mL Nalgene bottles that were filled to the brim. Bottles were tightly closed, sealed with parafilm, and placed inside sampling bags. Two samples were collected per sampling point, and all measurements were geolocated. A total of 126 samples were collected from 19 July – 04 August 2019. All water samples were transported to the Atmosphere, Climate, and Ecosystems lab at the University of Illinois at Chicago for processing. The δ¹⁸O and dD were measured using a Picarro l2130-I CRDS water isotope analyzer with a wire mesh inserted in the vaporizer inlet to trap salt from the seawater. Fifteen injections were made for each sample and necessary corrections to address 'memory effect' were employed. Measurements were normalized using the dD and δ¹⁸O values of internal water standards. Data table header includes the event, latitude, longitude, sampling date, campaign, sampling method, location, isotope analyzer model, salinity sensor, ¹⁸O values (‰), D values (‰), and salinity values (psu).
    Keywords: BUCKET; Bucket water sampling; CAA; Canadian Arctic Archipelago; Date/Time of event; Event label; Isotope analyzer L2130-i, Picarro Inc.; Latitude of event; Longitude of event; Northwest Passage Project; NPP; NPP19surface_station_1; NPP19surface_station_10; NPP19surface_station_11; NPP19surface_station_12; NPP19surface_station_13; NPP19surface_station_14; NPP19surface_station_15; NPP19surface_station_16; NPP19surface_station_17; NPP19surface_station_18; NPP19surface_station_19; NPP19surface_station_2; NPP19surface_station_20; NPP19surface_station_21; NPP19surface_station_22; NPP19surface_station_23; NPP19surface_station_24; NPP19surface_station_25; NPP19surface_station_26; NPP19surface_station_27; NPP19surface_station_28; NPP19surface_station_29; NPP19surface_station_3; NPP19surface_station_30; NPP19surface_station_31; NPP19surface_station_32; NPP19surface_station_33; NPP19surface_station_34; NPP19surface_station_35; NPP19surface_station_36; NPP19surface_station_37; NPP19surface_station_38; NPP19surface_station_39; NPP19surface_station_4; NPP19surface_station_40; NPP19surface_station_41; NPP19surface_station_42; NPP19surface_station_43; NPP19surface_station_44; NPP19surface_station_45; NPP19surface_station_46; NPP19surface_station_47; NPP19surface_station_48; NPP19surface_station_49; NPP19surface_station_5; NPP19surface_station_50; NPP19surface_station_51; NPP19surface_station_52; NPP19surface_station_53; NPP19surface_station_54; NPP19surface_station_55; NPP19surface_station_56; NPP19surface_station_57; NPP19surface_station_58; NPP19surface_station_59; NPP19surface_station_6; NPP19surface_station_60; NPP19surface_station_61; NPP19surface_station_62; NPP19surface_station_63; NPP19surface_station_7; NPP19surface_station_8; NPP19surface_station_9; Oden; Oden1907; Salinity; surface salinity; water stable isotopes; YSI Professional Plus Multiparameter Instrument; YSI Pro Plus; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 189 data points
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  • 7
    Publication Date: 2023-12-31
    Description: This data contains ten (10) geolocated water stable isotopes and salinity measurements from three (3) sea ice cores collected during the cruise. Sea ice core sampling was conducted for three (3) ice coring stations. A sea ice core drill was used to collect the cores. Total length of each core was recorded as well as the temperature per 10 cm interval. The cores were then sectioned per 20 cm and the sections were thawed in different Marvin bottles. Once thawed, multiple water salinity measurements were taken using a YSI professional series digital probe. Water samples were transferred to a 30-mL Nalgene bottles that were filled to the brim. Bottles were tightly closed, sealed with parafilm, and placed inside sampling bags. A total of ten (10) samples were collected from the ice core collected. All water samples were transported to the Atmosphere, Climate, and Ecosystems lab at the University of Illinois at Chicago for processing. The δ¹⁸O and dD were measured using a Picarro l2130-I CRDS water isotope analyzer with a wire mesh inserted in the vaporizer inlet to trap salt from the seawater. Fifteen injections were made for each sample and necessary corrections to address 'memory effect' were employed. Measurements were normalized using the dD and δ¹⁸O values of internal water standards. Header includes following details: event, core segment (cm), latitude, longitude, sampling date, campaign, sampling method, location, isotope analyzer, salinity sensor, ¹⁸O values (‰), D values (‰), salinity values (psu).
    Keywords: CAA; Canadian Arctic Archipelago; Date/Time of event; Depth, bottom/max; DEPTH, ice/snow; Depth, top/min; Event label; ice core isotopes; Ice drilling corer (Kovacs); Isotope analyzer L2130-i, Picarro Inc.; Latitude of event; Longitude of event; Northwest Passage Project; NPP; NPP19icecore_station_2; NPP19icecore_station_4; NPP19icecore_station_5; Oden; Oden1907; Salinity; water stable isotopes; YSI Professional Plus Multiparameter Instrument; YSI Pro Plus; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 74 data points
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  • 8
    Publication Date: 2024-02-27
    Description: This data contains 125 geolocated water stable isotope, salinity, and temperature measurements from niskin bottle samples at varying depths from 52 Conductivity, Temperature, Depth (CTD) casts along the RV Oden cruise track. The CTD rosette water sampling was conducted following the CLIVAR/GO-SHIP protocol with a 'water cop' keeping track of the sampling order. Sampling for gases goes first, followed by nutrients, water stable isotopes, and then microbiological and DNA sampling during each cast. Samples for water stable isotopes analyses were collected by filling 30-mL Nalgene bottles to the brim. Bottles were closed tightly, sealed with parafilm, and stored in a labeled sample bag. Sampling depths chosen were based on the profile, location, and whether samples were collected for nutrients. Two samples were collected per depth. A total of 250 samples were collected from the 52 CTD casts from 19 July – 04 August 2019. The corresponding salinity and temperature measurements per sampling depth were collected from the CTD data. All water samples were transported to the Atmosphere, Climate, and Ecosystems lab at the University of Illinois at Chicago for processing. The δ¹⁸O and dD were measured using a Picarro l2130-I CRDS water isotope analyzer with a wire mesh inserted in the vaporizer inlet to trap salt from the seawater. Fifteen injections were made for each sample and necessary corrections to address 'memory effect' were employed. Measurements were normalized using the dD and δ¹⁸O values of internal water standards. Data table header includes the event, depth (m) latitude, longitude, sampling date, campaign, sampling method, location, isotope analyzer, salinity and temperature sensor, ¹⁸O values (‰), D values (‰), salinity values (psu), and temperature values (°C).
    Keywords: CAA; Canadian Arctic Archipelago; CTD; CTD, Sea-Bird SBE 911plus; CTD profile; Date/Time of event; DEPTH, water; Event label; Isotope analyzer L2130-i, Picarro Inc.; Latitude of event; Longitude of event; Northwest Passage Project; NPP; NPP19profile_station_1; NPP19profile_station_10; NPP19profile_station_11; NPP19profile_station_12; NPP19profile_station_13; NPP19profile_station_14; NPP19profile_station_15; NPP19profile_station_16; NPP19profile_station_18; NPP19profile_station_19; NPP19profile_station_2; NPP19profile_station_20; NPP19profile_station_21; NPP19profile_station_23; NPP19profile_station_24; NPP19profile_station_25; NPP19profile_station_26; NPP19profile_station_27; NPP19profile_station_28; NPP19profile_station_29; NPP19profile_station_30; NPP19profile_station_31; NPP19profile_station_32; NPP19profile_station_34; NPP19profile_station_35; NPP19profile_station_36; NPP19profile_station_39; NPP19profile_station_40; NPP19profile_station_41; NPP19profile_station_43; NPP19profile_station_45; NPP19profile_station_46; NPP19profile_station_5; NPP19profile_station_51; NPP19profile_station_52; NPP19profile_station_6; NPP19profile_station_7; NPP19profile_station_8; NPP19profile_station_9; Oden; Oden1907; Salinity; Temperature, water; water stable isotopes; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 500 data points
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  • 9
    Publication Date: 2023-03-22
    Description: How does solar wind energy flow through the Earth’s magnetosphere, how is it converted and distributed? is the question we want to address. We need to understand how geomagnetic storms and substorms start and grow, not just as a matter of scientific curiosity, but to address a clear and pressing practical problem: space weather, which can influence the performance and reliability of our technological systems, in space and on the ground, and can endanger human life and health. Much knowledge has already been acquired over the past decades, particularly by making use of multiple spacecraft measuring conditions in situ, but the infant stage of space weather forecasting demonstrates that we still have a vast amount of learning to do. A novel global approach is now being taken by a number of space imaging missions which are under development and the first tantalising results of their exploration will be available in the next decade. In this White Paper, submitted to ESA in response to the Voyage 2050 Call, we propose the next step in the quest for a complete understanding of how the Sun controls the Earth’s plasma environment: a tomographic imaging approach comprising two spacecraft in highly inclined polar orbits, enabling global imaging of magnetopause and cusps in soft X-rays, of auroral regions in FUV, of plasmasphere and ring current in EUV and ENA (Energetic Neutral Atoms), alongside in situ measurements. Such a mission, encompassing the variety of physical processes determining the conditions of geospace, will be crucial on the way to achieving scientific closure on the question of solar-terrestrial interactions.
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 10
    Publication Date: 2023-07-04
    Description: Transports across the continental shelf edge enhance shelf-sea production, remove atmospheric carbon and imply an active boundary to ocean circulation. Overall transports across the varied shelf edge from south-west of Britain to north of Scotland are estimated (from a variety of measurements and models) as several m〈sup〉2〈/sup〉s〈sup〉−1〈/sup〉. This large value results from variable strong wind-forced and tidal currents and along-slope flow.Even a globally typical 1 m〈sup〉2〈/sup〉s〈sup〉−1〈/sup〉 across an estimated 5x10〈sup〉5〈/sup〉 km of shelf edge amounts to 500 Sv; large compared with oceanic transports and potentially important to shelf-sea and adjacent oceanic budgets. However, exchanges with periods ∼ one day or less may be effective only for water properties that evolve on such short time-scales. Thus transports’ significance depends on distinctive properties of the water, or its contents, and on internal shelf-sea circulation affecting further transport. Transports across the NW European shelf edge enable its disproportionately strong CO〈sub〉2〈/sub〉 “pump”.The complex context, and small scales of numerous processes enabling cross-slope transports, imply a need for models. Measurements remain limited in extent and duration, but widely varied contexts, particular conditions, events, processes and behaviours are now available for model validation. Variability still renders observations insufficient for stable estimates of transports and exchanges, especially if partitioned by sector and season; indeed, there may be significant inter-annual differences. Validated fine-resolution models give the best prospect of spatial and temporal coverage and of estimating shelf-sea sensitivities to the adjacent ocean.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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