cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.940296
title: Processed seawater temperature, conductivity and salinity obtained at different depths by CTD buoy 2019O6 as part of the MOSAiC Distributed Network

description: CTD buoy 2019O6 was deployed in the MOSAiC Distributed Network in the Northern Laptev Sea in early October 2019 as part of a set of eight identical ice-tethered buoy systems, each consisting of 5 Seabird SBE37IMP Microcat CTDs mounted along an inductive modem tether at depths of 10, 20, 50, 75 and 100m. The CTDs were recording oceanographic data internally at 2-minute intervals. The surface unit of the buoy prompted the instruments for an additional measurement every 10 minutes, which was then transmitted to a base station via iridium along with GPS position and time, as well as surface temperature. After 308 days of drift through the Central Arctic Ocean, 2019O6 was recovered in August 2020, and the internally recorded data from the CTDs were secured. The 10-minute buoy data and 2-minute CTD data were co-processed and merged into a combined product. A buoy flag indicates whether a measurement was taken by the buoy (1) or was recorded by the CTD itself (0). The data were quality controlled by means of outlier detection using global limits, moving average filters and manual inspection. The dataset was carefully checked for inconsistencies, especially in the salinity. Where appropriate, parameters were modified to enhance the quality. A (slightly modified) quality flagging scheme was applied according to the Ocean Data Standards Volume 3 (UNESCO 2013), where 1 = Good, 2 = Good (Modified), 3 = Questionable, 4 = Bad, 9 = no data. Finally, the data were validated against independent measurements. Details are available in the data paper indicted below.
description: • GearID 1: SBE37IMP, SN 21112• GearID 2: SBE37IMP, SN 21115• GearID 3: SBE37IMP, SN 21116• GearID 4: SBE37IMP, SN 21117• GearID 5: SBE37IMP, SN 21108Acknowledgments:The data were produced as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 (grant numbers AWI_PS122_00 and AFMOSAiC-1_00). The instruments were funded through the MIDO (Multidisciplinary Ice-based Drifting Observatory) infrastructure program, and built by Pacific Gyre, USA. We thank the crews of the research vessels Akademik Fedorov, Akademik Tryoshnikov and RV Polarstern, and in particular the chief scientists, Thomas Krumpen, Markus Rex and Matthew Shupe. We thank the helicopter company Naryan-Marsky for their great logistical support that made this effort possible. We express our gratitude to all participants of these expeditions, and particularly to the MOSAiC School for their field assistance during the set-up. We appreciate the efforts of Kirstin Schulz, Julia Regnery, Ingo Schuffenhauer, Morven Muilwijk, Sandra Tippenhauer and the entire Leg 4 Team for the recovery of the instruments.
DOI: 10.1594/pangaea.940298
title: Processed seawater temperature, conductivity and salinity obtained at different depths by CTD buoy 2019O2 as part of the MOSAiC Distributed Network

description: CTD buoy 2019O2 was deployed in the MOSAiC Distributed Network in the Northern Laptev Sea in early October 2019 as part of a set of eight identical ice-tethered buoy systems, each consisting of 5 Seabird SBE37IMP Microcat CTDs mounted along an inductive modem tether at depths of 10, 20, 50, 75 and 100m. The surface unit of the buoy prompted the instruments for a measurement every 10 minutes, which was then transmitted to a base station via iridium along with GPS position and time, as well as surface temperature. 2019O2 stopped transmitting data in mid-November 2019, after only 40 days of drift. The buoy data were quality controlled by means of outlier detection using global limits, moving average filters and manual inspection. The dataset was carefully checked for inconsistencies, especially in the salinity. Where appropriate, parameters were modified to enhance the quality. A (slightly modified) quality flagging scheme was applied according to the Ocean Data Standards Volume 3 (UNESCO 2013), where 1 = Good, 2 = Good (Modified), 3 = Questionable, 4 = Bad, 9 = no data. Finally, the data were validated against independent measurements. Details are available in the data paper indicted below.
description: • GearID 1: SBE37IMP, SN 21085• GearID 2: SBE37IMP, SN 21086• GearID 3: SBE37IMP, SN 21087• GearID 4: SBE37IMP, SN 21088• GearID 5: SBE37IMP, SN 21081Acknowledgments:The data were produced as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 (grant numbers AWI_PS122_00 and AFMOSAiC-1_00). The instruments were funded through the MIDO (Multidisciplinary Ice-based Drifting Observatory) infrastructure program, and built by Pacific Gyre, USA. We thank the crews of the research vessels Akademik Fedorov, Akademik Tryoshnikov and RV Polarstern, and in particular the chief scientists, Thomas Krumpen and Markus Rex. We thank the helicopter company Naryan-Marsky for their great logistical support that made this effort possible. We express our gratitude to all participants of these expeditions, and particularly to the MOSAiC School for their field assistance during the set-up.
DOI: 10.1594/pangaea.940301
title: Processed seawater temperature, conductivity and salinity obtained at different depths by CTD buoy 2019O5 as part of the MOSAiC Distributed Network

description: CTD buoy 2019O5 was deployed in the MOSAiC Distributed Network in the Northern Laptev Sea in early October 2019 as part of a set of eight identical ice-tethered buoy systems, each consisting of 5 Seabird SBE37IMP Microcat CTDs mounted along an inductive modem tether at depths of 10, 20, 50, 75 and 100m. The surface unit of the buoy prompted the instruments for a measurement every 10 minutes, which was then transmitted to a base station via iridium along with GPS position and time, as well as surface temperature. 2019O5 stopped transmitting data in the northern part of Fram Strait in mid-July 2020, after 278 days of drift through the Central Arctic Ocean, The buoy data were quality controlled by means of outlier detection using global limits, moving average filters and manual inspection. The dataset was carefully checked for inconsistencies, especially in the salinity. Where appropriate, parameters were modified to enhance the quality. A (slightly modified) quality flagging scheme was applied according to the Ocean Data Standards Volume 3 (UNESCO 2013), where 1 = Good, 2 = Good (Modified), 3 = Questionable, 4 = Bad, 9 = no data. Finally, the data were validated against independent measurements. Details are available in the data paper indicted below.
description: • GearID 1: SBE37IMP, SN 21104• GearID 2: SBE37IMP, SN 21105• GearID 3: SBE37IMP, SN 21109• GearID 4: SBE37IMP, SN 21110• GearID 5: SBE37IMP, SN 21107Acknowledgments:The data were produced as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 (grant numbers AWI_PS122_00 and AFMOSAiC-1_00). The instruments were funded through the MIDO (Multidisciplinary Ice-based Drifting Observatory) infrastructure program, and built by Pacific Gyre, USA. We thank the crews of the research vessels Akademik Fedorov, Akademik Tryoshnikov and RV Polarstern, and in particular the chief scientists, Thomas Krumpen and Markus Rex. We thank the helicopter company Naryan-Marsky for their great logistical support that made this effort possible. We express our gratitude to all participants of these expeditions, and particularly to the MOSAiC School for their field assistance during the set-up.
DOI: 10.1594/pangaea.940303
title: Processed seawater temperature, conductivity and salinity obtained at different depths by CTD buoy 2019O7 as part of the MOSAiC Distributed Network

description: CTD buoy 2019O7 was deployed in the MOSAiC Distributed Network in the Northern Laptev Sea in early October 2019 as part of a set of eight identical ice-tethered buoy systems, each consisting of 5 Seabird SBE37IMP Microcat CTDs mounted along an inductive modem tether at depths of 10, 20, 50, 75 and 100m. The surface unit of the buoy prompted the instruments for a measurement every 10 minutes, which was then transmitted to a base station via iridium along with GPS position and time, as well as surface temperature. 2019O7 stopped transmitting data in mid-November 2019, after only 15 days of drift. The buoy data were quality controlled by means of outlier detection using global limits, moving average filters and manual inspection. The dataset was carefully checked for inconsistencies, especially in the salinity. Where appropriate, parameters were modified to enhance the quality. A (slightly modified) quality flagging scheme was applied according to the Ocean Data Standards Volume 3 (UNESCO 2013), where 1 = Good, 2 = Good (Modified), 3 = Questionable, 4 = Bad, 9 = no data. Finally, the data were validated against independent measurements. Details are available in the data paper indicted below.
description: • GearID 1: SBE37IMP, SN 21135• GearID 2: SBE37IMP, SN 21136• GearID 3: SBE37IMP, SN 21137• GearID 4: SBE37IMP, SN 21138• GearID 5: SBE37IMP, SN 21139Acknowledgments:The data were produced as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 (grant numbers AWI_PS122_00 and AFMOSAiC-1_00). The instruments were funded through the MIDO (Multidisciplinary Ice-based Drifting Observatory) infrastructure program, and built by Pacific Gyre, USA. We thank the crews of the research vessels Akademik Fedorov, Akademik Tryoshnikov and RV Polarstern, and in particular the chief scientists, Thomas Krumpen and Markus Rex. We thank the helicopter company Naryan-Marsky for their great logistical support that made this effort possible. We express our gratitude to all participants of these expeditions, and particularly to the MOSAiC School for their field assistance during the set-up.
DOI: 10.1594/pangaea.940304
title: Processed seawater temperature, conductivity and salinity obtained at different depths by CTD buoy 2019O8 as part of the MOSAiC Distributed Network

description: CTD buoy 2019O8 was deployed in the MOSAiC Distributed Network in the Northern Laptev Sea in early October 2019 as part of a set of eight identical ice-tethered buoy systems, each consisting of 5 Seabird SBE37IMP Microcat CTDs mounted along an inductive modem tether at depths of 10, 20, 50, 75 and 100m. The surface unit of the buoy prompted the instruments for a measurement every 10 minutes, which was then transmitted to a base station via iridium along with GPS position and time, as well as surface temperature. 2019O8 stopped transmitting data in mid-November 2019, after only 15 days of drift. The buoy data were quality controlled by means of outlier detection using global limits, moving average filters and manual inspection. The dataset was carefully checked for inconsistencies, especially in the salinity. Where appropriate, parameters were modified to enhance the quality. A (slightly modified) quality flagging scheme was applied according to the Ocean Data Standards Volume 3 (UNESCO 2013), where 1 = Good, 2 = Good (Modified), 3 = Questionable, 4 = Bad, 9 = no data. Finally, the data were validated against independent measurements. Details are available in the data paper indicted below.
description: • GearID 1: SBE37IMP, SN 21140• GearID 2: SBE37IMP, SN 21141• GearID 3: SBE37IMP, SN 21142• GearID 4: SBE37IMP, SN 21143• GearID 5: SBE37IMP, SN 21144Acknowledgments:The data were produced as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 (grant numbers AWI_PS122_00 and AFMOSAiC-1_00). The instruments were funded through the MIDO (Multidisciplinary Ice-based Drifting Observatory) infrastructure program, and built by Pacific Gyre, USA. We thank the crews of the research vessels Akademik Fedorov, Akademik Tryoshnikov and RV Polarstern, and in particular the chief scientists, Thomas Krumpen and Markus Rex. We thank the helicopter company Naryan-Marsky for their great logistical support that made this effort possible. We express our gratitude to all participants of these expeditions, and particularly to the MOSAiC School for their field assistance during the set-up.
DOI: 10.1594/pangaea.941942
title: Basic measurements of radiation at station Reunion Island, University (2022-02)

description: Note the presence of the cyclone Batsirai between the 2nd and 6th February.
DOI: 10.1594/pangaea.937916
title: Basic measurements of radiation at station Reunion Island, University (2021-08)

description: Early morning and late afternoon missing radiation data due to the building mask of the temporary station installation. Those masks appear between 30th July and 17th September and should be corrected by the station installation on the new elevated platform.
DOI: 10.1594/pangaea.937917
title: Basic measurements of radiation at station Reunion Island, University (2021-09)

description: Early morning and late afternoon missing radiation data due to the building mask of the temporary station installation. Those masks appear between 30th July and 17th September and should be corrected by the station installation on the new elevated platform.
DOI: 10.1594/pangaea.937918
title: Basic measurements of radiation at station Reunion Island, University (2021-10)
DOI: 10.1594/pangaea.941532
title: CRONUS Input of all samples from the detrital river sediment in central Cuba

description: Input data table for the online calculator described by Balco et al. (2008) (hess.ess.washington.edu) and subsequently updated. Note: This table is set up so that you can open it in Excel (or a similar software) and copy and paste directly into the calculator.Parameters 14, 15, 19, and 20 are from the accelerator mass spectrometer and other associated calculations (done using data from tables 3-6, the output of which is reported in table 7). (14&15 come from 3&5 as reported in 7, 19&20 come from 4&6 as reported in 7)
DOI: 10.1594/pangaea.941533
title: Erosion rates from the detrital river sediment in central Cuba

description: The different erosion rate estimates have two different types of differences. One is that they were calculated using different isotopes in the rocks (26Al and 10Be). These are slightly different approximations. Unless the sample has been buried (or otherwise violated assumptions of the method), they should be within uncertainty of each other. The second difference is that each one has three reported erosion rates based on assumptions about how production of 26Al and 10Be changes with latitude and altitude. Those reference other publications. St is from Stone 2000: Stone JO. 2000. Air pressure and cosmogenic isotope production. Journal of Geophysical Research-Solid Earth 105: 23753-23759Lm is the same Balco et al., 2008 citation as the calculator. LSDn is from: Lifton, N., Sato, T., Dunai, T., 2014. Scaling in situ cosmogenic nuclide production rates using analytical approximations to atmospheric cosmic-ray fluxes. Earth and Planetary Science Letters 386 149-160
DOI: 10.1594/pangaea.941286
title: Basic measurements of radiation at station Reunion Island, University (2021-12)
DOI: 10.1594/pangaea.941287
title: Basic measurements of radiation at station Reunion Island, University (2022-01)

description: Missing meteorological data on 15th january due to exceptional on site electrical grid maintenance. Radiation records are not impacted.
DOI: 10.1594/pangaea.945536
title: Basic measurements of radiation at station Reunion Island, University (2022-03)

description: Version 2, 2022-06-20 with one bad datapoint removed.
DOI: 10.1594/pangaea.944885
title: Basic measurements of radiation at station Reunion Island, University (2022-04)
DOI: 10.1594/pangaea.948350
title: MAR v3.12.1 annual surface mass balance along the CHICTABA transect, East Antarctica, 1979-2021

description: Mean of distance.km of same row + following row, used for accurate stepped line plotting.x1979: Surface mass balance in kg/m²/a output from from MAR v3.12.1 using ERA5 data for year 1979.Remaining columns consist of annual surface mass balance values up to 2021 in the manner of x1979.
DOI: 10.1594/pangaea.949283
title: Basic measurements of radiation at station Reunion Island, University (2022-05)
DOI: 10.1594/pangaea.949284
title: Basic measurements of radiation at station Reunion Island, University (2022-06)
DOI: 10.1594/pangaea.949285
title: Basic measurements of radiation at station Reunion Island, University (2022-07)
DOI: 10.1594/pangaea.949286
title: Basic measurements of radiation at station Reunion Island, University (2022-08)
DOI: 10.1594/pangaea.949390
title: Basic measurements of radiation at station Reunion Island, University (2022-09)
DOI: 10.1594/pangaea.950461
title: Basic measurements of radiation at station Reunion Island, University (2022-10)
DOI: 10.1594/pangaea.952454
title: Basic measurements of radiation at station Reunion Island, University (2022-11)
DOI: 10.1594/pangaea.955441
title: Basic measurements of radiation at station Reunion Island, University (2022-12)
DOI: 10.1594/pangaea.955442
title: Basic measurements of radiation at station Reunion Island, University (2023-01)
DOI: 10.1594/pangaea.956132
title: Post-processed, gap-filled and partitioned carbon and energy fluxes from eddy-covariance measurements above the forest ecosystem Hohes Holz in 2020

description: Carbon dioxide, water vapour and energy fluxes from eddy-covariance measurements after post-processing and gap-filling with the REddyProc package (Wutzler, T., et al., 2018) combined with selected environmental variables measured (or derived) at the same site at the EC tower with Campbell Scientific data loggers. Flags describe quality of data after e.g. checks for stationarity and intergral turbulence characteristics (Foken, T. and Wichura, B., 1996), or the ability of gap-filling (Wutzler, T., et al., 2018) and represent either good (0), suspicious (1) or bad (2) data. Net ecosystem exchange of CO2 (NEE) is partitioned into gross primary productivity (GPP) and ecosystem respiration (Reco) by different procedures (Lasslop, et al., 2010, Reichstein et al., 2005). '-9999' is indicating missing values.
DOI: 10.1594/pangaea.956271
title: Basic measurements of radiation at station Reunion Island, University (2023-02)
DOI: 10.1594/pangaea.956074
title: Post-processed, gap-filled and partitioned carbon and energy fluxes from eddy-covariance measurements above the forest ecosystem Hohes Holz in 2017

description: Carbon dioxide, water vapour and energy fluxes from eddy-covariance measurements after post-processing and gap-filling with the REddyProc package (Wutzler, T., et al., 2018) combined with selected environmental variables measured (or derived) at the same site at the EC tower with Campbell Scientific data loggers. Flags describe quality of data after e.g. checks for stationarity and intergral turbulence characteristics (Foken, T. and Wichura, B., 1996), or the ability of gap-filling (Wutzler, T., et al., 2018) and represent either good (0), suspicious (1) or bad (2) data. Net ecosystem exchange of CO2 (NEE) is partitioned into gross primary productivity (GPP) and ecosystem respiration (Reco) by different procedures (Lasslop, et al., 2010, Reichstein et al., 2005). '-9999' is indicating missing values.
DOI: 10.1594/pangaea.956075
title: Post-processed, gap-filled and partitioned carbon and energy fluxes from eddy-covariance measurements above the forest ecosystem Hohes Holz in 2018

description: Carbon dioxide, water vapour and energy fluxes from eddy-covariance measurements after post-processing and gap-filling with the REddyProc package (Wutzler, T., et al., 2018) combined with selected environmental variables measured (or derived) at the same site at the EC tower with Campbell Scientific data loggers. Flags describe quality of data after e.g. checks for stationarity and intergral turbulence characteristics (Foken, T. and Wichura, B., 1996), or the ability of gap-filling (Wutzler, T., et al., 2018) and represent either good (0), suspicious (1) or bad (2) data. Net ecosystem exchange of CO2 (NEE) is partitioned into gross primary productivity (GPP) and ecosystem respiration (Reco) by different procedures (Lasslop, et al., 2010, Reichstein et al., 2005). '-9999' is indicating missing values.
DOI: 10.1594/pangaea.956110
title: Post-processed, gap-filled and partitioned carbon and energy fluxes from eddy-covariance measurements above the forest ecosystem Hohes Holz in 2019

description: Carbon dioxide, water vapour and energy fluxes from eddy-covariance measurements after post-processing and gap-filling with the REddyProc package (Wutzler, T., et al., 2018) combined with selected environmental variables measured (or derived) at the same site at the EC tower with Campbell Scientific data loggers. Flags describe quality of data after e.g. checks for stationarity and intergral turbulence characteristics (Foken, T. and Wichura, B., 1996), or the ability of gap-filling (Wutzler, T., et al., 2018) and represent either good (0), suspicious (1) or bad (2) data. Net ecosystem exchange of CO2 (NEE) is partitioned into gross primary productivity (GPP) and ecosystem respiration (Reco) by different procedures (Lasslop, et al., 2010, Reichstein et al., 2005). '-9999' is indicating missing values.Height from air temperature and -humidity sensors was changed on march 7th 2019 from 33m to 38m.
DOI: 10.1594/pangaea.957331
title: Basic measurements of radiation at station Reunion Island, University (2023-03)
DOI: 10.1594/pangaea.956926
title: Carbonate production of planktic foraminifers at IODP Site 342-U1409, ODP Site 198-1209 and ODP Site 183-1135 during the Palaeocene-Eocene Thermal Maximum (PETM)

description: Here we present data which explores how foraminiferal carbonate production changed at an Atlantic, Pacific and Southern Ocean site in response to environmental change during the Palaeocene-Eocene Thermal Maximum (PETM; 56 Ma). We measure the 95th percentile of planktic foraminiferal assemblage test size (µm), size-normalised weight (µg) of Morozovella subbotinae and Subbotina patagonica, coarse fraction percent (%; i.e. the relative contribution of planktic foraminifers to carbonate), and foraminiferal mass accumulation rate (g/cm²/ka) at IODP Site 342-U1409, ODP Site 198-1209, and ODP Site 183-1135.
description: Foraminiferal mass accumulation rate and age model were calculated as follows: Site 198-1209 follows Westerhold et al. (2018, doi:10.1029/2017PA003306), Site 183-1135 Jiang & Wise Jr. (2009, doi:10.1016/j.marmicro.2009.03.003), and Site 342-U1409 Penman et al. (2016, doi:10.1038/ngeo2757).
DOI: 10.1594/pangaea.958995
title: Basic measurements of radiation at station Reunion Island, University (2023-04)
DOI: 10.1594/pangaea.960989
title: Basic measurements of radiation at station Reunion Island, University (2023-06)