cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.938267
title: An overview of SIMBA buoys deployed in the Arctic Ocean during the Legs 1a, 1, and 3 of the MOSAiC campaign in 2019-2020

description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environment temperature SIMBA-ET and temperature change around the thermistors after a weak heating applied to each sensor (SIMBA-HT). Totally, there were 22 SIMBAs deployed in the Arcitic Ocean over the Distributed Network (DN) and the Central Observatory during the Legs 1a, 1 and 3 of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign.This table contains buoy information, including the name of buoy archived in https://www.meereisportal.de/, the original names, the iridium number, deployment date, location, and site, as well as some joint deployments.
DOI: 10.1594/pangaea.938226
title: Snow depth and sea ice thickness derived from the measurements of SIMBA buoy 2019T56

description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environment temperature SIMBA-ET and temperature change around the thermistors after a weak heating applied to each sensor (SIMBA-HT). Totally, there were 22 SIMBAs deployed in the Arcitic Ocean over the Distributed Network (DN) and the Central Observatory during the Legs 1a, 1 and 3 of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign. The SIMBA thermistor chain is 5.12 m long, and equipped with 256 thermistors (Maxim Integrated DS28EA00) at 0.02 m spacing. Based on a manual identification method, the SIMBA-ET and SIMBA-HT were processed to yield snow depth and ice thickness. Here, we combined the two optimal methods (the ET vertical gradient and HT rise ratio) to reduce the uncertainty. To keep the consistency, we use the snow or ice surface, consequentially the snow depth, determined by the ET vertical gradient. The formations of snow ice and superposed ice are not considered in this data set. That is to say, the value of snow depth includes the layers of snow ice at two sites (2019T56 and 2019T72). The superposed ice was generally negligible. We used the HT rise ratio to determine the ice-water interface, consequentially the ice thickness. Overall, the measurement accuracy was 0.02 m for both the snow depth and ice thickness. After the snow cover melted over, the negative values for the snow depth indicate the onset of ice surface melt.
DOI: 10.1594/pangaea.938230
title: Snow depth and sea ice thickness derived from the measurements of SIMBA buoy 2019T64

description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environment temperature SIMBA-ET and temperature change around the thermistors after a weak heating applied to each sensor (SIMBA-HT). Totally, there were 22 SIMBAs deployed in the Arcitic Ocean over the Distributed Network (DN) and the Central Observatory during the Legs 1a, 1 and 3 of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign. The SIMBA thermistor chain is 5.12 m long, and equipped with 256 thermistors (Maxim Integrated DS28EA00) at 0.02 m spacing. Based on a manual identification method, the SIMBA-ET and SIMBA-HT were processed to yield snow depth and ice thickness. Here, we combined the two optimal methods (the ET vertical gradient and HT rise ratio) to reduce the uncertainty. To keep the consistency, we use the snow or ice surface, consequentially the snow depth, determined by the ET vertical gradient. The formations of snow ice and superposed ice are not considered in this data set. That is to say, the value of snow depth includes the layers of snow ice at two sites (2019T56 and 2019T72). The superposed ice was generally negligible. We used the HT rise ratio to determine the ice-water interface, consequentially the ice thickness. Overall, the measurement accuracy was 0.02 m for both the snow depth and ice thickness. After the snow cover melted over, the negative values for the snow depth indicate the onset of ice surface melt.
DOI: 10.1594/pangaea.938236
title: Snow depth and sea ice thickness derived from the measurements of SIMBA buoy 2019T70

description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environment temperature SIMBA-ET and temperature change around the thermistors after a weak heating applied to each sensor (SIMBA-HT). Totally, there were 22 SIMBAs deployed in the Arcitic Ocean over the Distributed Network (DN) and the Central Observatory during the Legs 1a, 1 and 3 of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign. The SIMBA thermistor chain is 5.12 m long, and equipped with 256 thermistors (Maxim Integrated DS28EA00) at 0.02 m spacing. Based on a manual identification method, the SIMBA-ET and SIMBA-HT were processed to yield snow depth and ice thickness. Here, we combined the two optimal methods (the ET vertical gradient and HT rise ratio) to reduce the uncertainty. To keep the consistency, we use the snow or ice surface, consequentially the snow depth, determined by the ET vertical gradient. The formations of snow ice and superposed ice are not considered in this data set. That is to say, the value of snow depth includes the layers of snow ice at two sites (2019T56 and 2019T72). The superposed ice was generally negligible. We used the HT rise ratio to determine the ice-water interface, consequentially the ice thickness. Overall, the measurement accuracy was 0.02 m for both the snow depth and ice thickness. After the snow cover melted over, the negative values for the snow depth indicate the onset of ice surface melt.
DOI: 10.1594/pangaea.942491
title: Table of taxa names and their assignments to families, grouth form, geographical distribution group of sediment core Co1410
DOI: 10.1594/pangaea.958445
title: Auxiliary data from SIMBA-type sea ice mass balance buoy 2020T85

description: Geographic position, barometric pressure, tilt and compass.
description: The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, position: The geographic position is flagged +1 if the drift velocity, as derived from the GPS longitude and latitude, exceeds a threshold of 10 deg latitude or 50 deg longitude per time step; +2 if the position exceeds extreme values, such as longitude &gt; 360 deg; +4 if the position is exactly 0.0.
DOI: 10.1594/pangaea.982311
title: Oxygen isotope record of stalagmite BA14-1 from Básura cave, northern Italy
DOI: 10.1594/pangaea.958441
title: Heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy 2020T78: 30 s after the heating cycle

description: Temperature rising around the thermistors after a weak heating applied to each sensor daily after 30 s.
description: The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, position: The geographic position is flagged +1 if the drift velocity, as derived from the GPS longitude and latitude, exceeds a threshold of 10 deg latitude or 50 deg longitude per time step; +2 if the position exceeds extreme values, such as longitude &gt; 360 deg; +4 if the position is exactly 0.0.
DOI: 10.1594/pangaea.982324
title: Oxygen isotope record of stalagmite BA18-4 from Básura cave, northern Italy
DOI: 10.1594/pangaea.938243
title: Snow depth and sea ice thickness derived from the measurements of SIMBA buoy 2020T79

description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environment temperature SIMBA-ET and temperature change around the thermistors after a weak heating applied to each sensor (SIMBA-HT). Totally, there were 22 SIMBAs deployed in the Arcitic Ocean over the Distributed Network (DN) and the Central Observatory during the Legs 1a, 1 and 3 of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign. The SIMBA thermistor chain is 5.12 m long, and equipped with 256 thermistors (Maxim Integrated DS28EA00) at 0.02 m spacing. Based on a manual identification method, the SIMBA-ET and SIMBA-HT were processed to yield snow depth and ice thickness. Here, we combined the two optimal methods (the ET vertical gradient and HT rise ratio) to reduce the uncertainty. To keep the consistency, we use the snow or ice surface, consequentially the snow depth, determined by the ET vertical gradient. The formations of snow ice and superposed ice are not considered in this data set. That is to say, the value of snow depth includes the layers of snow ice at two sites (2019T56 and 2019T72). The superposed ice was generally negligible. We used the HT rise ratio to determine the ice-water interface, consequentially the ice thickness. Overall, the measurement accuracy was 0.02 m for both the snow depth and ice thickness. After the snow cover melted over, the negative values for the snow depth indicate the onset of ice surface melt.
DOI: 10.1594/pangaea.958446
title: Temperature measurements from SIMBA-type sea ice mass balance buoy 2020T85

description: Temperature profile from atmosphere through snow and ice into the ocean.
description: The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, position: The geographic position is flagged +1 if the drift velocity, as derived from the GPS longitude and latitude, exceeds a threshold of 10 deg latitude or 50 deg longitude per time step; +2 if the position exceeds extreme values, such as longitude &gt; 360 deg; +4 if the position is exactly 0.0.
DOI: 10.1594/pangaea.958440
title: Temperature measurements from SIMBA-type sea ice mass balance buoy 2020T78

description: Temperature profile from atmosphere through snow and ice into the ocean.
description: The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, position: The geographic position is flagged +1 if the drift velocity, as derived from the GPS longitude and latitude, exceeds a threshold of 10 deg latitude or 50 deg longitude per time step; +2 if the position exceeds extreme values, such as longitude &gt; 360 deg; +4 if the position is exactly 0.0.
DOI: 10.1594/pangaea.958420
title: Heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy 2020T81: 120 s after the heating cycle

description: Temperature rising around the thermistors after a weak heating applied to each sensor daily after 120 s.
description: The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, position: The geographic position is flagged +1 if the drift velocity, as derived from the GPS longitude and latitude, exceeds a threshold of 10 deg latitude or 50 deg longitude per time step; +2 if the position exceeds extreme values, such as longitude &gt; 360 deg; +4 if the position is exactly 0.0.
DOI: 10.1594/pangaea.958439
title: Auxiliary data from SIMBA-type sea ice mass balance buoy 2020T78

description: Geographic position, barometric pressure, tilt and compass.
description: The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, position: The geographic position is flagged +1 if the drift velocity, as derived from the GPS longitude and latitude, exceeds a threshold of 10 deg latitude or 50 deg longitude per time step; +2 if the position exceeds extreme values, such as longitude &gt; 360 deg; +4 if the position is exactly 0.0.
DOI: 10.1594/pangaea.958399
title: Auxiliary data from SIMBA-type sea ice mass balance buoy 2020T84

description: Geographic position, barometric pressure, tilt and compass.
description: The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, position: The geographic position is flagged +1 if the drift velocity, as derived from the GPS longitude and latitude, exceeds a threshold of 10 deg latitude or 50 deg longitude per time step; +2 if the position exceeds extreme values, such as longitude &gt; 360 deg; +4 if the position is exactly 0.0.
DOI: 10.1594/pangaea.958400
title: Temperature measurements from SIMBA-type sea ice mass balance buoy 2020T84

description: Temperature profile from atmosphere through snow and ice into the ocean.
description: The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, position: The geographic position is flagged +1 if the drift velocity, as derived from the GPS longitude and latitude, exceeds a threshold of 10 deg latitude or 50 deg longitude per time step; +2 if the position exceeds extreme values, such as longitude &gt; 360 deg; +4 if the position is exactly 0.0.
DOI: 10.1594/pangaea.960027
title: GPS position of SIMBA buoy (FMI0606) in the Young sound, eastern Greenland land-fast ice zone for the 2020/2021 ice season

description: This is the SIMBA buoy (FMI0606) GPS position. The buoy was anchored in the ice floe. There was a sudden ice break drift in the first few days (30/Oct-3/Nov) before being relocated to a fixed location.
DOI: 10.1594/pangaea.960030
title: SIMBA buoy (FMI0606) temperature measurement in the Young sound, eastern Greenland land-fast ice zone for the 2020/2021 ice season

description: This is SIMBA temperature data. The Tair (sensor1) was observed at a height of 1.5m above the initial ice surface. Sensor(2),,, sensor(241) are thermistor sensors attached to the thermistor string.
DOI: 10.1594/pangaea.960028
title: Sea ice thickness derived from a SIMBA buoy (FMI0606) temperature measurement in the Young sound, eastern Greenland land-fast ice zone for the 2020/2021 ice season

description: This is SIMBA ice thickness (derived from temperature data). The values mean ice thickness growth below the initial reference surface (zero).
DOI: 10.1594/pangaea.960029
title: Snow thickness derived from a SIMBA buoy (FMI0606) temperature measurement in the Young sound, eastern Greenland land-fast ice zone for the 2020/2021 ice season

description: This is SIMBA snow depth (derived from temperature data). The values mean snow accumulation above the reference surface (zero).
DOI: 10.1594/pangaea.960032
title: Observed snow depth and ice thickness in the Young sound, eastern Greenland land-fast ice zone for the 2020/2021 ice season

description: This is the in situ observed snow depth and ice thickness.
DOI: 10.1594/pangaea.964536
title: Surface elevation changes of the northern Antarctic Peninsula Ice Sheet (&lt;70°S) derived from repeat bi-static SAR acquisitions for the period 2013-2017

description: Some of the highest specific mass change rates in Antarctica are reported for the Antarctic Peninsula. However, the existing estimates for the northern Antarctic Peninsula (&lt;70°S) are either spatially limited or are affected by considerable uncertainties. The complex topography, frequent cloud cover, limitations in ice thickness information, boundary effects, and uncertain glacial-isostatic adjustment estimates affect the ice sheet mass change estimates using altimetry, gravimetry, or the input-output method. Within this study, the first assessment of the geodetic mass balance throughout the ice sheet of the northern Antarctic Peninsula is carried out employing bi-static SAR data from the TanDEM-X satellite mission. Repeat coverages from austral-winters 2013 and 2017 are employed. Overall coverage of 96.4% of the study area by surface elevation change measurements and a total mass budget of -24.1±2.8 Gt/a is revealed. The spatial distribution of the surface elevation and mass changes points out, that the former ice shelf tributary glaciers of the Prince-Gustav-Channel, Larsen-A&B, and Wordie ice shelves are the hotpots of ice loss in the study area, and highlights the long-lasting dynamic glacier adjustments after the ice shelf break-up events. The highest mass change rate is revealed for the Airy-Seller-Fleming glacier system of -4.9±0.6 Gt/a and the highest average surface elevation change rate of -2.30±0.03 m/a is observed at Drygalski Glacier. The obtained results provide information on ice surface elevation and mass changes for the entire northern Antarctic Peninsula on unprecedented spatially detailed scales and high precision, and will be beneficial for subsequent analysis and modeling.
description: For the analysis in the corresponding paper, the rock outcrops according to Silva et al. (2020) were applied.
DOI: 10.1594/pangaea.938225
title: Snow depth and sea ice thickness derived from the measurements of SIMBA buoy 2019T47

description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environment temperature SIMBA-ET and temperature change around the thermistors after a weak heating applied to each sensor (SIMBA-HT). Totally, there were 22 SIMBAs deployed in the Arcitic Ocean over the Distributed Network (DN) and the Central Observatory during the Legs 1a, 1 and 3 of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign. The SIMBA thermistor chain is 5.12 m long, and equipped with 256 thermistors (Maxim Integrated DS28EA00) at 0.02 m spacing. Based on a manual identification method, the SIMBA-ET and SIMBA-HT were processed to yield snow depth and ice thickness. Here, we combined the two optimal methods (the ET vertical gradient and HT rise ratio) to reduce the uncertainty. To keep the consistency, we use the snow or ice surface, consequentially the snow depth, determined by the ET vertical gradient. The formations of snow ice and superposed ice are not considered in this data set. That is to say, the value of snow depth includes the layers of snow ice at two sites (2019T56 and 2019T72). The superposed ice was generally negligible. We used the HT rise ratio to determine the ice-water interface, consequentially the ice thickness. Overall, the measurement accuracy was 0.02 m for both the snow depth and ice thickness. After the snow cover melted over, the negative values for the snow depth indicate the onset of ice surface melt.
DOI: 10.1594/pangaea.964013
title: Compilation of stomach content data from temperate Atlantic and western Mediterranean mesopelagic fishes captured during the CSIC-SUMMER survey in October 2020

description: This file contains data on mesopelagic fish stomach content reported as the number of prey categories in each fish stomach and their carbon masses. These data come from samples collected around the Iberian Peninsula (sampled during the CSIC-SUMMER cruise in October 2020). 120 samples come from the western Mediterranean and 173 from the Atlantic. Overall 42 different prey taxa could be identified from the stomachs. Five zones around the Iberian Peninsula were studied: south of the Balearic Islands, Alboran Sea, Gulf of Cadiz, off Lisboa and off Galicia. The table contains 5785 prey data records from 293 stomachs of 29 species of mesopelagic fish. Each data record (row) corresponds to one prey item, therefore for each fish stomach there are as many records as number of prey in the stomach. The complete dataset presents predators (mesopelagic fish) identified to species level, and prey taxa identified to genus level when possible (42 prey taxa). The studied mesopelagic fish correspond to orders Stomiiformes and Myctophiphormes and were selected because they were the most common and abundant in the cruise. The most diverse group was Myctophidae, with 14 species. The Stomiiformes were represented by four families, of which 5 species were Gonostomatidae, 2 Phosichthyidae, 4 Sternoptychidae and 4 Stomiidae.
DOI: 10.1594/pangaea.982758
title: ANT 2016/17: AWI airborne ultra-wideband radar data over the Jutulstraumen Glacier, western Dronning Maud Land, East Antarctica (MABAJU 2 project)

description: This dataset contains airborne radar data acquired using the AWIs multi-channel ultra-wideband radar system (AWI UWB) during the Antarctic season of 2016/17. The profiles are located near the grounding line of the Jutulstraumen Glacier in western Dronning Maud Land, East Antarctica as well as over the Halvfarryggen ice rise. The data are available as netCDF files (including waveforms and metadata), KML files of the profile line locations, and quicklook images of the radargrams.
description: OLD VERSION 1, please use newer version (see Replaced by reference)--Project: MABAJU 2Region: Jutulstraumen ice stream & HalvfarryggenOwner / PI: Angelika Humbert (angelika.humbert@awi.de)Email address of the provider:daniel.steinhage@awi.deveit.helm@awi.deInstrument used: AWI UWB (MCoRDS 5)Data products: CSARP_standard (SAR focussed), CSARP_qlook (unfocussed)Data product documentation: https://data.cresis.ku.edu/data/rds/rds_readme.pdfMethod of navigation : GPS data was acquired by four NovAtel DL-V3 GPS receivers operating at 20Hz--The netCDF files contain the following variables:altitude: Platform altitude (WGS84) in metersbed_elevation: Bed elevation for each trace (without applying a firn correction and permitivity of ice: 3.15) in metersbed_pick: picked Bed location for each trace, expressed as twt in seconds from time zerodata: Radar data (Values in dBm after DC conversion)data_agc: Scaled radar data using automatic gain control (AGC)distance: Along-track distance in metersice_thickness: Ice thickness for each trace (without applying a firn correction and permitivity of ice: 3.15) in meterslat: Latitude in decimal degrees (WGS84)lon: Longitude in decimal degrees (WGS84)range: Range between sensor and surface in metersspacing: Along-track trace to trace spacing in meterssurface: Surface elevation derived from radar (WGS84) in meterssurface_pick: Picked surface reflection in two-way travel time in secondstime: Seconds of daytwt: Two-way travel time (twt) in seconds--Note that the surface picks were quality-checked for the standard product. For the qlook product only an auto-tracked surface pick is available.