cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.930841
title: Total arsenic in littoral sediments in south-central Puget Sound urban lakes from 2018 and 2019

description: Between 2 and 6 littoral sediment samples were collected in 2018 and 2019 from nearshore (1-2 m depth) in each lake using a dredge (Wildco Petite Ponar Stainless Steel Grab) and dried at 60 °C overnight and homogenized using a porcelain mortar and pestle. Oven-dried sediment samples were digested using a microwave-assisted (CEM MARS 5) total digestion protocol (modified EPA method 3015a). Concentrations of total arsenic in digested sediment samples were determined by inductively-coupled plasma mass spectrometry (ICP-MS) on an Agilent 7900 at the University of Washington Tacoma.
DOI: 10.25346/s6eecgix/9610rb
title: msXL_344v_46_36.jpg
DOI: 10.1594/pangaea.983495
title: Vessel mounted ADCP current measurements (75 kHz) during RV METEOR cruise M188

description: Upper-ocean current velocities were measured along the track of the cruise M188 (March 7 - April 13, 2023) using a vessel-mounted acoustic current Doppler profiler (ADCP). The instrument was a Teledyne RD Instruments 75-kHz Ocean Surveyor, with the transducer was installed 5.0 m below the waterline. The instrument was operated in narrowband mode to achieve the maximum possible range. Velocity data were recorded in 127 5-m bins. The navigational data, as well as heading, pitch and roll data, were recorded together with the velocity measurements by the data acquisition software (VmDAS). The velocity data were converted into earth coordinates and averaged into one-minute intervals. A water track calibration was used (OSADCP_Toolbox) to determine misalignment angle (-0.010°) and amplitude factor (0.998). The accuracy of the velocity data varies, and depends on the number of available good pings in each depth cell during one measurements interval.
DOI: 10.25346/s6eecgix/sd8zft
title: msXL_344v_46_35.jpg
DOI: 10.25346/s6eecgix/4vqypl
title: msXL_344v_46_34.jpg
DOI: 10.1594/pangaea.351396
title: Outdated: Introduction to the data library PANGAEA - Publishing Network for Geoscientific & Environmental Data

description: Presentation available in different formats
DOI: 10.25346/s6eecgix/lnwpjq
title: msXL_344v_46_33.jpg
DOI: 10.1594/pangaea.982657
title: Multibeam bathymetry raw data (Kongsberg EM 122 entire dataset) of RV SONNE during cruise SO309

description: Raw bathymetry data were collected using the ship's own Kongsberg EM 122 multibeam echosounder during the RV SONNE cruise SO309 CoralNewZ (Cold-water Coral Biology & Geology off Aotearoa New Zealand). The cruise took place between 2025-01-16 and 2025-02-15 (Wellington to Wellington, New Zealand). The primary goal was to search for cold-water coral communities and mounds in the EEZ of New Zealand. Hydroacoustic team included Sam Davidson (NIWA), who was funded by the NIWA internal project OCN2503 – NIWA Strategic Voyage Fund. Bathymetry and backscatter data were recorded using the EM122 deep-water echosounder within 2 main working areas: East of Stewart Island and Chatham Rise (both Pacific Ocean), as well as alone the transits within the EEZ of New Zealand. Data are unprocessed and therefore contain incorrect depth measurements (artifacts). Sound velocity profiles (SVP) were regularly collected in all the main working areas and are part of this dataset. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).
description: These data should not be used for navigational purposes.
DOI: 10.1594/pangaea.982830
title: Water column raw data (Kongsberg EM 122 entire dataset) of RV SONNE during cruise SO309

description: Raw water column data were collected using the ship's own Kongsberg EM 122 multibeam echosounder during the RV SONNE cruise SO309 CoralNewZ (Cold-water Coral Biology & Geology off Aotearoa New Zealand). The cruise took place between 2025-01-16 and 2025-02-15 (Wellington to Wellington, New Zealand). The primary goal was to search for cold-water coral communities and mounds in the EEZ of New Zealand. Hydroacoustic team included Sam Davidson (NIWA), who was funded by the NIWA internal project OCN2503 – NIWA Strategic Voyage Fund. Bathymetry and backscatter data were recorded using the EM122 deep-water echosounder within 2 main working areas: East of Stewart Island and Chatham Rise (both Pacific Ocean), as well as alone the transits within the EEZ of New Zealand. Data are unprocessed and therefore contain incorrect depth measurements (artifacts). Sound velocity profiles (SVP) were regularly collected in all the main working areas and are part of this dataset. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).
description: These data should not be used for navigational purposes.
DOI: 10.25346/s6eecgix/khlhwv
title: msXL_344v_46_32.jpg
DOI: 10.25346/s6eecgix/lt2lhr
title: msXL_344v_46_31.jpg
DOI: 10.1594/pangaea.984420
title: Seismic processed data (Ocean Bottom Seismometer working area dataset) of RV SONNE during cruise SO297, Taltal Ridge, Chile

description: The data comprises processed active-source seismic data acquired with ocean bottom seismometer (OBS). The data were collected at the Taltal Ridge during expedition SO297 with the research vessel RV SONNE (doi:10.48433/cr_so297) offshore Taltal, north-central Chile (map for further details). The entire data set consists of 27 OBS stations. Seismic data were shot across the OBS along one profile. Each OBS consists of 4 channels (channel 1: hydrophone; channel 2: horizontal component 1; channel 3: horizontal component 2; channel 4: vertical component).
description: The naming convention is as follows using p100.obs100.1.sgy as an example:p100: Sub-survey name (from the entire SO297 cruise).obs100: OBS-station number.1: channel number (1, 2, 3).sgy: data typeEach segy-data file has header-information set that can be used for plotting and analyses:trace-count (tracr, byte : 1) shotpoint number (byte: 17-20), as defined for the entire cruise SO297 (see cruise report for local shot-point and survey association)shot X coordinate (sx, byte :73-76, coordinate in UTM, WGS84, zone 19S; value given in centimeter) shot Y coordinate (sy, byte: 77-80, coordinate in UTM, WGS84, zone 19S; value given in centimeter)OBS X coordinate (gx, byte: 81-84, coordinate in UTM, WGS84, zone 19S; value given in centimeter)OBS Y coordinate (gy, byte: 85-88, coordinate in UTM, WGS84, zone 19S; value given in centimeter)
DOI: 10.25346/s6eecgix/9budoy
title: msXL_344v_46_30.jpg
DOI: 10.1594/pangaea.319947
title: Outdated: Description and user manual of the information system PANGAEA

description: This document is a working draft with the status of the system in 2005. For up-to-date information about the PANGAEA system it is recommended to use the wiki - see "other version".
DOI: 10.1594/pangaea.958790
title: Cape Basin, seismic profile AWI-96009

description: Processed data (SEGY) of seismic reflection profile AWI-96009 collected during RV Meteor cruise M34/1 in 1996. Migrated data collected with 600 m analogue streamer, 1 GI-guns was used as seismic source every 25 m. See cruise report of M34/1 and readme file 96009_segd_info for further details on acquisition parameters.
DOI: 10.1594/pangaea.984143
title: Master tracks in different resolutions of POLARSTERN cruise PS148, Bremerhaven - Tromsø, 2025-05-29 - 2025-06-29

description: Raw data acquired by position sensors on board RV Polarstern during expedition PS148 was processed to receive a validated master track which can be used as reference of further expedition data. During PS148 two Trimble Marine R750 GPS receivers and the iXBlue HYDRINS hydrographic survey inertial navigation system were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
description: This dataset contains the master track in 10 min resolution, for other resolutions please see "Other version" references.
DOI: 10.25346/s6eecgix/piwzyt
title: msXL_344v_46_29.jpg
DOI: 10.1594/pangaea.958788
title: Cape Basin, seismic profile AWI-96008

description: Processed data (SEGY) of seismic reflection profile AWI-96008 collected during RV Meteor cruise M34/1 in 1996. Migrated data collected with 600 m analogue streamer, 1 GI-guns was used as seismic source every 25 m. See cruise report of M34/1 and readme file 96008_segd_info for further details on acquisition parameters.
DOI: 10.1594/pangaea.973327
title: Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T109

description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environmental temperature SIMBA-ET and a temperature change around the thermistors after a weak heating is applied to each sensor (SIMBA-HT). SIMBA 2023T109 (a.k.a. PRIC_1201) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean (Polarstern PS138-Arcwatch 2023) as part of the project PRIC. Its thermistor chain is 5 m long, and equipped with 241 thermistors (Maxim Integrated DS28EA00) at a spacing of 2 cm. Based on a manual classification method, the SIMBA-ET and SIMBA-HT were processed to obtain snow depth and ice thickness (smoothed with a 3-day running mean), as well as the thermistor number, the vertical position Z relative to the snow-ice interface and the measured SIMBA-ET at each detected interface (atmosphere-snow, snow-ice and ice-ocean) for the period between 2023-08-29T18:30:18 and 2024-01-11T12:30:18. To do this, we combined two derivatives of measured temperatures (the ET vertical gradient and HT rise ratio) to reduce the detection uncertainty of all interfaces considered. The snow or ice surface, consequentially the snow depth, is determined by the ET vertical gradient. Potential formation of snow ice is not explicitly considered in this data set, but may occur as depicted by vertical changes of the snow-ice interface position. The ice-ocean interface is usually determined using the HT rise ratio and serves as the lower limit for ice thickness. Overall, the accumulated error is 2 to 4 times the sensor spacing for both the snow depth and ice thickness. For interface temperatures, individual sensors in the chain measure with a temperature resolution of 0.0625°C, with the overall accuracy landing in the range of ± 2°C (Jackson et al., 2013). After the snow cover has melted, negative values for snow depth may indicate the onset of ice surface melt.
DOI: 10.1594/pangaea.973334
title: Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T105

description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environmental temperature SIMBA-ET and a temperature change around the thermistors after a weak heating is applied to each sensor (SIMBA-HT). SIMBA 2023T105 (a.k.a. AWI_1101) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean (Polarstern PS138-Arcwatch 2023) as part of the project Sea Ice Physics @ AWI (AWI_SeaIce). Its thermistor chain is 5 m long, and equipped with 241 thermistors (Maxim Integrated DS28EA00) at a spacing of 2 cm. Based on a manual classification method, the SIMBA-ET and SIMBA-HT were processed to obtain snow depth and ice thickness (smoothed with a 3-day running mean), as well as the thermistor number, the vertical position Z relative to the snow-ice interface and the measured SIMBA-ET at each detected interface (atmosphere-snow, snow-ice and ice-ocean) for the period between 2023-09-01T03:00:17 and 2024-06-21T03:00:18. To do this, we combined two derivatives of measured temperatures (the ET vertical gradient and HT rise ratio) to reduce the detection uncertainty of all interfaces considered. The snow or ice surface, consequentially the snow depth, is determined by the ET vertical gradient. Potential formation of snow ice is not explicitly considered in this data set, but may occur as depicted by vertical changes of the snow-ice interface position. The ice-ocean interface is usually determined using the HT rise ratio and serves as the lower limit for ice thickness. Overall, the accumulated error is 2 to 4 times the sensor spacing for both the snow depth and ice thickness. For interface temperatures, individual sensors in the chain measure with a temperature resolution of 0.0625°C, with the overall accuracy landing in the range of ± 2°C (Jackson et al., 2013). After the snow cover has melted, negative values for snow depth may indicate the onset of ice surface melt.
DOI: 10.25346/s6eecgix/wjungn
title: msXL_344v_46_28.jpg
DOI: 10.1594/pangaea.973329
title: Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T106

description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environmental temperature SIMBA-ET and a temperature change around the thermistors after a weak heating is applied to each sensor (SIMBA-HT). SIMBA 2023T106 (a.k.a. AWI_1102) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean (Polarstern PS138-Arcwatch 2023) as part of the project Sea Ice Physics @ AWI (AWI_SeaIce). Its thermistor chain is 15 m long, and equipped with 265 thermistors (Maxim Integrated DS28EA00) at a spacing of 2 cm (first 3 m) and 10 cm (following 12 m). Based on a manual classification method, the SIMBA-ET and SIMBA-HT were processed to obtain snow depth and ice thickness (smoothed with a 3-day running mean), as well as the thermistor number, the vertical position Z relative to the snow-ice interface and the measured SIMBA-ET at each detected interface (atmosphere-snow, snow-ice and ice-ocean) for the period between 2023-08-28T13:48:59 and 2024-07-01T01:00:18. To do this, we combined two derivatives of measured temperatures (the ET vertical gradient and HT rise ratio) to reduce the detection uncertainty of all interfaces considered. The snow or ice surface, consequentially the snow depth, is determined by the ET vertical gradient. Potential formation of snow ice is not explicitly considered in this data set, but may occur as depicted by vertical changes of the snow-ice interface position. The ice-ocean interface is usually determined using the HT rise ratio and serves as the lower limit for ice thickness. Overall, the accumulated error is 2 to 4 times the sensor spacing for both the snow depth and ice thickness. For interface temperatures, individual sensors in the chain measure with a temperature resolution of 0.0625°C, with the overall accuracy landing in the range of ± 2°C (Jackson et al., 2013). After the snow cover has melted, negative values for snow depth may indicate the onset of ice surface melt.
DOI: 10.25346/s6eecgix/5rbxxs
title: msXL_344v_46_27.jpg
DOI: 10.1594/pangaea.973331
title: Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T110

description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environmental temperature SIMBA-ET and a temperature change around the thermistors after a weak heating is applied to each sensor (SIMBA-HT). SIMBA 2023T110 (a.k.a. PRIC_1202) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean (Polarstern PS138-Arcwatch 2023) as part of the project PRIC. Its thermistor chain is 5 m long, and equipped with 241 thermistors (Maxim Integrated DS28EA00) at a spacing of 2 cm. Based on a manual classification method, the SIMBA-ET and SIMBA-HT were processed to obtain snow depth and ice thickness (smoothed with a 3-day running mean), as well as the thermistor number, the vertical position Z relative to the snow-ice interface and the measured SIMBA-ET at each detected interface (atmosphere-snow, snow-ice and ice-ocean) for the period between 2023-09-10T14:00:18 and 2024-03-13T14:00:18. To do this, we combined two derivatives of measured temperatures (the ET vertical gradient and HT rise ratio) to reduce the detection uncertainty of all interfaces considered. The snow or ice surface, consequentially the snow depth, is determined by the ET vertical gradient. Potential formation of snow ice is not explicitly considered in this data set, but may occur as depicted by vertical changes of the snow-ice interface position. The ice-ocean interface is usually determined using the HT rise ratio and serves as the lower limit for ice thickness. Overall, the accumulated error is 2 to 4 times the sensor spacing for both the snow depth and ice thickness. For interface temperatures, individual sensors in the chain measure with a temperature resolution of 0.0625°C, with the overall accuracy landing in the range of ± 2°C (Jackson et al., 2013). After the snow cover has melted, negative values for snow depth may indicate the onset of ice surface melt.
DOI: 10.1594/pangaea.973336
title: Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T107

description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environmental temperature SIMBA-ET and a temperature change around the thermistors after a weak heating is applied to each sensor (SIMBA-HT). SIMBA 2023T107 (a.k.a. AWI_1103) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean (Polarstern PS138-Arcwatch 2023) as part of the project Sea Ice Physics @ AWI (AWI_SeaIce). Its thermistor chain is 5 m long, and equipped with 241 thermistors (Maxim Integrated DS28EA00) at a spacing of 2 cm. Based on a manual classification method, the SIMBA-ET and SIMBA-HT were processed to obtain snow depth and ice thickness (smoothed with a 3-day running mean), as well as the thermistor number, the vertical position Z relative to the snow-ice interface and the measured SIMBA-ET at each detected interface (atmosphere-snow, snow-ice and ice-ocean) for the period between 2023-09-03T17:00:18 and 2024-06-06T23:00:18. To do this, we combined two derivatives of measured temperatures (the ET vertical gradient and HT rise ratio) to reduce the detection uncertainty of all interfaces considered. The snow or ice surface, consequentially the snow depth, is determined by the ET vertical gradient. Potential formation of snow ice is not explicitly considered in this data set, but may occur as depicted by vertical changes of the snow-ice interface position. The ice-ocean interface is usually determined using the HT rise ratio and serves as the lower limit for ice thickness. Overall, the accumulated error is 2 to 4 times the sensor spacing for both the snow depth and ice thickness. For interface temperatures, individual sensors in the chain measure with a temperature resolution of 0.0625°C, with the overall accuracy landing in the range of ± 2°C (Jackson et al., 2013). After the snow cover has melted, negative values for snow depth may indicate the onset of ice surface melt.
DOI: 10.1594/pangaea.973338
title: Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T102

description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environmental temperature SIMBA-ET and a temperature change around the thermistors after a weak heating is applied to each sensor (SIMBA-HT). SIMBA 2023T102 (a.k.a. PRIC_0903) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean (Polarstern PS138-Arcwatch 2023) as part of the project PRIC. Its thermistor chain is 5 m long, and equipped with 241 thermistors (Maxim Integrated DS28EA00) at a spacing of 2 cm. Based on a manual classification method, the SIMBA-ET and SIMBA-HT were processed to obtain snow depth and ice thickness (smoothed with a 3-day running mean), as well as the thermistor number, the vertical position Z relative to the snow-ice interface and the measured SIMBA-ET at each detected interface (atmosphere-snow, snow-ice and ice-ocean) for the period between 2023-09-05T03:00:16 and 2023-11-14T03:00:16. To do this, we combined two derivatives of measured temperatures (the ET vertical gradient and HT rise ratio) to reduce the detection uncertainty of all interfaces considered. The snow or ice surface, consequentially the snow depth, is determined by the ET vertical gradient. Potential formation of snow ice is not explicitly considered in this data set, but may occur as depicted by vertical changes of the snow-ice interface position. The ice-ocean interface is usually determined using the HT rise ratio and serves as the lower limit for ice thickness. Overall, the accumulated error is 2 to 4 times the sensor spacing for both the snow depth and ice thickness. For interface temperatures, individual sensors in the chain measure with a temperature resolution of 0.0625°C, with the overall accuracy landing in the range of ± 2°C (Jackson et al., 2013). After the snow cover has melted, negative values for snow depth may indicate the onset of ice surface melt.
DOI: 10.1594/pangaea.973343
title: Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T104

description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environmental temperature SIMBA-ET and a temperature change around the thermistors after a weak heating is applied to each sensor (SIMBA-HT). SIMBA 2023T104 (a.k.a. PRIC_1007) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean (Polarstern PS138-Arcwatch 2023) as part of the project PRIC. Its thermistor chain is 5 m long, and equipped with 241 thermistors (Maxim Integrated DS28EA00) at a spacing of 2 cm. Based on a manual classification method, the SIMBA-ET and SIMBA-HT were processed to obtain snow depth and ice thickness (smoothed with a 3-day running mean), as well as the thermistor number, the vertical position Z relative to the snow-ice interface and the measured SIMBA-ET at each detected interface (atmosphere-snow, snow-ice and ice-ocean) for the period between 2023-08-09T16:00:16 and 2023-11-25T10:00:16. To do this, we combined two derivatives of measured temperatures (the ET vertical gradient and HT rise ratio) to reduce the detection uncertainty of all interfaces considered. The snow or ice surface, consequentially the snow depth, is determined by the ET vertical gradient. Potential formation of snow ice is not explicitly considered in this data set, but may occur as depicted by vertical changes of the snow-ice interface position. The ice-ocean interface is usually determined using the HT rise ratio and serves as the lower limit for ice thickness. Overall, the accumulated error is 2 to 4 times the sensor spacing for both the snow depth and ice thickness. For interface temperatures, individual sensors in the chain measure with a temperature resolution of 0.0625°C, with the overall accuracy landing in the range of ± 2°C (Jackson et al., 2013). After the snow cover has melted, negative values for snow depth may indicate the onset of ice surface melt.
DOI: 10.25346/s6eecgix/mxbr7e
title: msXL_344v_46_26.jpg