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  • 1
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    Ice sheet–free West Antarctica during peak early Oligocene glaciation (2024)
    American Association for the Advancement of Science (AAAS)
    In:  EPIC3Science, American Association for the Advancement of Science (AAAS), ISSN: 0036-8075
    Details
    Publication Date: 2024-07-08
    Description: One of Earth’s most fundamental climate shifts – the greenhouse-icehouse transition 34 Ma ago – initiated Antarctic ice-sheet build-up, influencing global climate until today. However, the extent of the ice sheet during the Early Oligocene Glacial Maximum (~33.7–33.2 Ma) that immediately followed this transition, a critical knowledge gap for assessing feedbacks between permanently glaciated areas and early Cenozoic global climate reorganization, is uncertain. Here, we present shallow-marine drilling data constraining earliest Oligocene environmental conditions on West Antarctica’s Pacific margin – a key region for understanding Antarctic ice sheet-evolution. These data indicate a cool-temperate environment, with mild ocean and air temperatures preventing West Antarctic Ice Sheet formation. Climate-ice sheet modeling corroborates a highly asymmetric Antarctic ice sheet, thereby revealing its differential regional response to past and future climatic change.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 2
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    SEISMONOISY: A Quasi-Real-Time Seismic Noise Network Monitoring System (2024)
    MDPI
    Details
    Publication Date: 2024-07-08
    Description: This paper introduces SEISMONOISY, an application designed for monitoring the spatiotemporal characteristic and variability of the seismic noise of an entire seismic network with a quasi-real-time monitoring approach. Actually, we have applied the developed system to monitor 12 seismic networks distributed throughout the Italian territory. These networks include the Rete Sismica Nazionale (RSN) as well as other regional networks with smaller coverage areas. Our noise monitoring system uses the methods of Spectral Power Density (PSD) and Probability Density Function (PDF) applied to 12 h long seismic traces in a 24 h cycle for each station, enabling the extrapolation of noise characteristics at seismic stations after a Seismic Noise Level Index (SNLI), which takes into account the global seismic noise model, is derived. The SNLI value can be used for different applications, including network performance evaluation, the identification of operational problems, site selection for new installations, and for scientific research applications (e.g., volcano monitoring, identification of active seismic sequences, etc.). Additionally, it aids in studying the main noise sources across different frequency bands and changes in the characteristics of background seismic noise over time.
    Description: Published
    Description: 3474
    Description: JCR Journal
    Keywords: background seismic noise level; real time monitoring; seismic noise; seismic noise trend; seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 3
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    Transfer of Papua New Guinea’s Gleichenia hooglandii to Sticherus (Gleicheniaceae) (2018)
    In:  Blumea: Biodiversity, Evolution and Biogeography of Plants vol. 63, pp. 120-120
    Details
    Publication Date: 2024-07-08
    Description: Based on its morphology and in accordance with modern circumscriptions of genera among the Gleicheniaceae, a new combination in Sticherus is made for the Papua New Guinean fern originally described as Gleichenia hooglandii.
    Keywords: Gleichenia ; Gleicheniaceae ; Papua New Guinea ; Sticherus ; taxonomy
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 4
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    Concentrations of macronutrients, dissolved organic and inorganic compounds during the iron fertilization experiment EIFEX in 2004 (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-08
    Description: Here we present the concentrations of inorganic nutrients, dissolved organic carbon, nitrogen and phophorus and dissolved inorganic carbon (DIC) from discrete water samples collected with a CTD-rosette during the European Iron Fertilization Experiment (EIFEX). The experiment was carried out from February 11 to March 20, 2004 in the 60-km diameter, rotating core of an eddy, formed by a meander of the Antarctic Polar Front (centred at around 49°10' S and 2°10' E). Samples were taken within the eddy inside and outside the fertilized patch, and in a few cases outside the eddy. Inorganic nutrients (silicate, phosphate, nitrate, nitrite and ammonium) were measured with a Technicon Autoanalyser II system using standard methods. Dissolved organic carbon (DOC) was determined by high temperature combustion using a TOC-VCPH/CPN (Shimadzu) according to Skoog et al. (1997). Dissolved organic nitrogen (DON) was measured on an Evolution continuous flow analyser (Alliance Instruments) after Valderrama (1981). Dissolved inorganic carbon was measured by coulometric titration (Johnson et al., 1987) using a SOMMA system with gas loop calibration with a reproducibility of 2 mmol/kg. DIC was calibrated against certified reference materials from Andrew Dickson at Scripps Institution of Oceanography (SIO).
    Keywords: Ammonium; ANT XXI/3; ANT-XXI/3; Auto-analyzer II, Technicon; Carbon, inorganic, dissolved; Carbon, organic, dissolved; Cast number; Continuous flow analyser, Alliance Instruments, Evolution; Method according to Valderrama (1981); Coulometric titration according to Johnson et al. (1987); CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; dissolved in organic carbon (DIC); Dissolved Organic Matter; Duration, number of days; Event label; GOFLO; Go-Flo bottles; LATITUDE; LONGITUDE; Nitrate; Nitrite; Nitrogen, organic, dissolved; particulate organic matter; Phosphate; Polarstern; Position; PS65/424-3; PS65/424-8; PS65/426-1; PS65/427-1; PS65/452-1; PS65/464-1; PS65/466-2; PS65/470-1; PS65/471-1; PS65/508-16; PS65/508-2; PS65/509-1; PS65/509-13; PS65/511-1; PS65/511-9; PS65/513-3; PS65/513-5; PS65/514-2; PS65/514-6; PS65/515-1; PS65/516-1; PS65/517-1; PS65/518-1; PS65/519-1; PS65/520-1; PS65/521-1; PS65/522-1; PS65/523-1; PS65/524-1; PS65/525-1; PS65/526-1; PS65/527-1; PS65/528-1; PS65/529-1; PS65/530-1; PS65/531-1; PS65/532-1; PS65/533-1; PS65/534-1; PS65/535-1; PS65/536-1; PS65/537-1; PS65/538-1; PS65/539-1; PS65/540-1; PS65/541-1; PS65/543-10; PS65/543-14; PS65/543-15; PS65/543-8; PS65/544-11; PS65/544-14; PS65/544-18; PS65/544-24; PS65/544-29; PS65/544-35; PS65/544-42; PS65/544-48; PS65/544-5; PS65/544-53; PS65/544-56; PS65/544-60; PS65/544-63; PS65/544-7; PS65/544-9; PS65/545-1; PS65/546-14; PS65/546-2; PS65/546-5; PS65/553-10; PS65/553-3; PS65/553-5; PS65/559-1; PS65/570-11; PS65/570-2; PS65/570-4; PS65/570-7; PS65/572-1; PS65/573-1; PS65/574-1; PS65/580-10; PS65/580-2; PS65/580-4; PS65/580-6; PS65/581-1; PS65/583-1; PS65/584-1; PS65/585-1; PS65/587-1; PS65/587-10; PS65/587-3; PS65/588-1; PS65/591-1; PS65/591-3; PS65/592-1; PS65/593-12; PS65/593-3; PS65/593-6; PS65 EIFEX; Silicate; South Atlantic Ocean; Station label; Total organic carbon analyzer, Schimadzu, TOC-VCPH/CPN; HTCO method according to Skoog et al. (1997)
    Type: Dataset
    Format: text/tab-separated-values, 9707 data points
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  • 5
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    Physical oceanography during RV METEOR cruise M164 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-08
    Description: The CTD data on cruise M164 contain oceanic measurements of temperature, salinity, oxygen and pressure at 126 stations. The data were collected with the research vessel Meteor during cruise M164: Region: subpolar North Atlantic, 9°W-47°W, 45°N-53°N; Ports: Emden - Emden; Date: June 23 - July 31, 2020 . The data where collected by a CTD device of type SBE 9. The CTD was mounted to a metal frame with 22 water sample bottles, which was lowered from the sea surface down to 10 m above the seafloor. The sampling frequency was 24 Hz, the raw data were then interpolated on 1 dbar intervals. Salinity and oxygen data from the CTD were calibrated by comparison with samples from the water bottles. The bottle salinity was analysed by a salinometer of type Guildline Autosal 8400A, bottle oxygen samples by Winkler titration. The accuracy of the calibrated CTD measurements is: 1 dbar for pressure, 0.001 °C for temperature, 0.0025 for salinity, 3.0 µmol/kg for oxygen. Detailed information can be found in the cruise report: https://doi.org/10.48433/cr_m164.
    Keywords: Celtic Sea, North Atlantic Ocean; CTD; CTD, Sea-Bird, SBE 911plus; CTD, Sea-Bird, SBE 911plus, measured with Temperature sensor, Sea-Bird, SBE3; CTD/Rosette; CTD-RO; DATE/TIME; Density, potential; DEPTH, water; Event label; GPF 19-1_105; LATITUDE; LONGITUDE; M164; M164_100-1; M164_10-1; M164_101-1; M164_102-1; M164_103-1; M164_104-1; M164_105-1; M164_106-1; M164_107-1; M164_108-1; M164_109-1; M164_1-1; M164_110-1; M164_11-1; M164_111-1; M164_112-1; M164_113-1; M164_114-1; M164_115-1; M164_116-1; M164_117-1; M164_118-1; M164_119-1; M164_1-2; M164_120-1; M164_12-1; M164_121-1; M164_122-1; M164_123-1; M164_124-1; M164_125-1; M164_126-1; M164_127-1; M164_128-1; M164_13-1; M164_13-2; M164_14-1; M164_15-1; M164_16-1; M164_17-1; M164_20-1; M164_2-1; M164_21-1; M164_22-1; M164_23-1; M164_24-1; M164_25-1; M164_26-2; M164_27-1; M164_28-1; M164_29-1; M164_30-1; M164_3-1; M164_31-1; M164_32-1; M164_33-1; M164_34-1; M164_35-2; M164_36-1; M164_37-1; M164_38-1; M164_39-1; M164_40-1; M164_41-1; M164_4-2; M164_42-1; M164_43-1; M164_44-1; M164_45-1; M164_46-1; M164_47-1; M164_48-1; M164_49-1; M164_50-1; M164_5-1; M164_51-1; M164_52-1; M164_53-1; M164_54-1; M164_55-1; M164_56-1; M164_57-1; M164_58-1; M164_59-1; M164_60-1; M164_6-1; M164_61-1; M164_62-1; M164_63-1; M164_64-1; M164_65-1; M164_66-1; M164_67-1; M164_68-1; M164_69-1; M164_70-1; M164_7-1; M164_71-1; M164_72-1; M164_73-1; M164_75-1; M164_77-1; M164_78-1; M164_79-1; M164_80-1; M164_8-1; M164_81-1; M164_82-1; M164_83-1; M164_84-1; M164_85-1; M164_86-1; M164_87-1; M164_88-1; M164_89-1; M164_90-1; M164_9-1; M164_91-1; M164_92-1; M164_93-1; M164_94-1; M164_95-1; M164_96-1; M164_97-1; M164_98-1; M164_99-1; Meteor (1986); Oxygen; physical oceanography; Pressure, water; Salinity; Salinometer, Guildline Instruments, 8400A Autosal; Sample elevation; South Atlantic Ocean; subpolar North Atlantic; Temperature, water; Temperature, water, potential; Titration, Winkler
    Type: Dataset
    Format: text/tab-separated-values, 2679222 data points
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  • 6
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    Continuous thermosalinograph oceanography along RV POLARSTERN cruise track PS122/4 (2021)
    PANGAEA
    Details
    Publication Date: 2024-07-08
    Description: Raw data acquired by two thermosalinographs (SBE21, SeaBird GmbH) on board RV Polarstern were processed to yield a calibrated and validated data set of temperature, conductivity and salinity during expedition PS122/4. Both sensors were equipped with a more accurate external temperature sensor (SBE38, Sea-Bird GmbH). Data were downloaded from the DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. The raw hex data were converted to temperature and conductivity while a sensor drift correction was applied using calibration coefficients from before and after the expedition. Salinity was calculated according to the instructions from the Practical Salinity Scale PSS-78, using the obtained (internal) temperature and conductivity data and a pressure of 11 dbar which represents the water depth of the inlet of the TSG system on Polarstern. Processed data are provided as 10min means of salinity and water temperature aligned with position data taken from master track of the respective cruise. A speed filter was not applied to the PS122 dataset because of the slow drift speed. This slow movement may lead to an overestimation of the mixed-layer temperature; in particular, small heat fluxes from the ship may raise the temperature in adjacent water in the lee, i.e. during times of drift in the direction opposite to the TSG inlet. The effect is expected to be small, but can potentially be higher than the accuracy of the temperature measurement. Further details and evaluation of the data is outlined in the data processing report found at the EPIC repository under URL (https://hdl.handle.net/10013/epic.7fffb528-06bd-48ae-8489-cea0444c4eab).
    Keywords: Arctic Ocean; Calculated from temperature and conductivity; Conductivity; DATE/TIME; DEPTH, water; Digital oceanographic thermometer, Sea-Bird, SBE 38; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122_4; PS122/4; PS122/4_0_Underway-35; PS122/4_0_Underway-36; Salinity; T/S data; Temperature, water; Temperature, water, internal; Thermosalinograph; Thermosalinograph (TSG), Sea-Bird, SBE 21 SEACAT; TSG
    Type: Dataset
    Format: text/tab-separated-values, 37184 data points
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  • 7
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    Continuous thermosalinograph oceanography along RV POLARSTERN cruise track PS122/2 (2021)
    PANGAEA
    Details
    Publication Date: 2024-07-08
    Description: Raw data acquired by two thermosalinographs (SBE21, SeaBird GmbH) on board RV Polarstern were processed to yield a calibrated and validated data set of temperature, conductivity and salinity during expedition PS122/2. Both sensors were equipped with a more accurate external temperature sensor (SBE38, Sea-Bird GmbH). Data were downloaded from the DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. The raw hex data were converted to temperature and conductivity while a sensor drift correction was applied using calibration coefficients from before and after the expedition. Salinity was calculated according to the instructions from the Practical Salinity Scale PSS-78, using the obtained (internal) temperature and conductivity data and a pressure of 11 dbar which represents the water depth of the inlet of the TSG system on Polarstern. Processed data are provided as 10min means of salinity and water temperature aligned with position data taken from master track of the respective cruise. A speed filter was not applied to the PS122 dataset because of the slow drift speed. This slow movement may lead to an overestimation of the mixed-layer temperature; in particular, small heat fluxes from the ship may raise the temperature in adjacent water in the lee, i.e. during times of drift in the direction opposite to the TSG inlet. The effect is expected to be small, but can potentially be higher than the accuracy of the temperature measurement. Further details and evaluation of the data is outlined in the data processing report found at the EPIC repository under URL (https://hdl.handle.net/10013/epic.7fffb528-06bd-48ae-8489-cea0444c4eab).
    Keywords: Arctic Ocean; Calculated from temperature and conductivity; Conductivity; DATE/TIME; DEPTH, water; Digital oceanographic thermometer, Sea-Bird, SBE 38; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122_2; PS122/2; PS122/2_0_Underway-35; PS122/2_0_Underway-36; Salinity; T/S data; Temperature, water; Temperature, water, internal; Thermosalinograph; Thermosalinograph (TSG), Sea-Bird, SBE 21 SEACAT; TSG
    Type: Dataset
    Format: text/tab-separated-values, 42044 data points
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  • 8
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    Continuous thermosalinograph oceanography along RV POLARSTERN cruise track PS122/1 (2021)
    PANGAEA
    Details
    Publication Date: 2024-07-08
    Description: Raw data acquired by two thermosalinographs (SBE21, SeaBird GmbH) on board RV Polarstern were processed to yield a calibrated and validated data set of temperature, conductivity and salinity during expedition PS122/1. Both sensors were equipped with a more accurate external temperature sensor (SBE38, Sea-Bird GmbH). Data were downloaded from the DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. The raw hex data were converted to temperature and conductivity while a sensor drift correction was applied using calibration coefficients from before and after the expedition. Salinity was calculated according to the instructions from the Practical Salinity Scale PSS-78, using the obtained (internal) temperature and conductivity data and a pressure of 11 dbar which represents the water depth of the inlet of the TSG system on Polarstern. Processed data are provided as 10min means of salinity and water temperature aligned with position data taken from master track of the respective cruise. A speed filter was not applied to the PS122 dataset because of the slow drift speed. This slow movement may lead to an overestimation of the mixed-layer temperature; in particular, small heat fluxes from the ship may raise the temperature in adjacent water in the lee, i.e. during times of drift in the direction opposite to the TSG inlet. The effect is expected to be small, but can potentially be higher than the accuracy of the temperature measurement. Further details and evaluation of the data is outlined in the data processing report found at the EPIC repository under URL (https://hdl.handle.net/10013/epic.7fffb528-06bd-48ae-8489-cea0444c4eab).
    Keywords: Calculated from temperature and conductivity; Conductivity; DATE/TIME; DEPTH, water; Digital oceanographic thermometer, Sea-Bird, SBE 38; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122_1; PS122/1; PS122/1_0_Underway-5; PS122/1_0_Underway-6; Salinity; T/S data; Temperature, water; Temperature, water, internal; Thermosalinograph; Thermosalinograph (TSG), Sea-Bird, SBE 21 SEACAT; TSG
    Type: Dataset
    Format: text/tab-separated-values, 44396 data points
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  • 9
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    GNSS data acquired during the 2021-2022 unrest at Station VCST (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-08
    Description: At the end of the summer 2021, an increase in CO2 emissions at Vulcano brought to an increase in the alert level and, as a consequence, to the upgrade of the monitoring activities by increasing the number of instruments deployed and the rate of the surveys. One of the new devices installed was a geodetic GNSS mobile network for a Real-Time and High-Frequency monitoring of ground deformation, to increase the detail with respect to the existing permanent network. The whole dataset provided here, consists of 1022 files for a total of 13GB of GNSS RINEX raw data. The GNSS data archive is organized in 4 folders, one for each station, named with the site abbreviation (namely, VCAM, VCOA, VCST and VPRT). Within each folder, there are all the raw data files for that station, one for each day of acquisition. Names of the files are structured following the RINEX 3 standard, the first 4 digits being the station code, that is an S and the last 3 digits of the receiver serial number. The date of acquisition is given by the 11 digits in the central part of the name, in the format YYYYDDDHHMM; namely, 4 digits for the year, followed by 3 digits for the day of the year (from 1 to 365 or 366 for leap years) and then 2 digits for the hour and 2 for the minute of the starting time.
    Keywords: ASCII file; ASCII file (File Size); DATE/TIME; Day of the year; Deformation; Geodesy; GNSS; GNSS Receiver; Monitoring; VCST; Volcano deformation; Volcanology; Vulcano Island, Italy
    Type: Dataset
    Format: text/tab-separated-values, 492 data points
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  • 10
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    GNSS data acquired during the 2021-2022 unrest at Station VPRT (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-08
    Description: At the end of the summer 2021, an increase in CO2 emissions at Vulcano brought to an increase in the alert level and, as a consequence, to the upgrade of the monitoring activities by increasing the number of instruments deployed and the rate of the surveys. One of the new devices installed was a geodetic GNSS mobile network for a Real-Time and High-Frequency monitoring of ground deformation, to increase the detail with respect to the existing permanent network. The whole dataset provided here, consists of 1022 files for a total of 13GB of GNSS RINEX raw data. The GNSS data archive is organized in 4 folders, one for each station, named with the site abbreviation (namely, VCAM, VCOA, VCST and VPRT). Within each folder, there are all the raw data files for that station, one for each day of acquisition. Names of the files are structured following the RINEX 3 standard, the first 4 digits being the station code, that is an S and the last 3 digits of the receiver serial number. The date of acquisition is given by the 11 digits in the central part of the name, in the format YYYYDDDHHMM; namely, 4 digits for the year, followed by 3 digits for the day of the year (from 1 to 365 or 366 for leap years) and then 2 digits for the hour and 2 for the minute of the starting time.
    Keywords: ASCII file; ASCII file (File Size); DATE/TIME; Day of the year; Deformation; Geodesy; GNSS; GNSS Receiver; Monitoring; Volcano deformation; Volcanology; VPRT; Vulcano Island, Italy
    Type: Dataset
    Format: text/tab-separated-values, 506 data points
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