cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.933387
title: Liquid Water Path over sea ice free Arctic ocean derived from passive microwave airborne measurements during ACLOUD in May/June 2017

description: Vertical column integrated liquid water, Liquid Water Path (LWP), is retrieved from the 89 GHz channel of MiRAC (Microwave Radar/radiometer for Arctic Clouds). MiRAC is flown with 25deg inclination backward from nadir against flight direction on Polar 5, the research aircraft of the Alfred-Wegener Institute for polar and ocean research (AWI). Polar 5 flew during the campaign Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) in summer 2017 conducted from Longyearbyen/Svalbard.The data set was collected during approximately 12 flight hours in May/June 2017 northwest of Svalbard over the sea-ice-free Arctic Ocean. It contains retrieved LWP with a status-flag indicating sea ice/sea ice floes, land, sensor inaccuracies, flight position depending on pitch and roll angle, and flight altitude. The data set is completed by information recorded by the aircraft system (latitude, longitude, flight altitude) and is stored in netCDF format.
description: ACLOUD campaign: Wendisch et al. 2019 (https://doi.org/10.1175/BAMS-D-18-0072.1).Instrumentation: Ehrlich et al. 2019 (https://doi.org/10.5194/essd-11-1853-2019)MiRAC: Mech et al. 2019 (https://doi.org/10.5194/amt-12-5019-2019)LWP retrieval method: Donoso et al. 2020 (https://doi.org/10.5194/acp-20-5487-2020)Data analysis: Kliesch et al. 2021 (in preparation)
DOI: 10.25402/bmm.21878505.v1
title: Gender differences contribute to variability of serum lipid biomarkers for Alzheimer’s disease - Supplemental Table 2

description: Background: Alzheimer’s disease (AD) cannot currently be diagnosed by a blood test. One reason may be gender differences. Another may be the statistical methods used. The authors evaluate these possibilities. Objective: The authors applied serum lipidomics to find AD biomarkers in men and women. They hypothesized that AD biomarkers would differ between genders and that machine-learning algorithms would improve diagnostic performance. Methods: Serum lipids were analyzed by mass spectrometry for a training set of AD cases and controls and in a blinded test set. Statistical analyses considered gender differences. Results: Lipids best classifying AD subjects differed significantly between men and women. Robust statistical algorithms did not improve diagnostic performance. Conclusion: Poor performance of AD biomarkers appears to be due primarily to inherent variability in AD patients.
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Plain language summary: Alzheimer’s disease (AD) cannot be diagnosed by a blood test or radiologic study. Newer laboratorymethods usingmass spectrometers have successfully identified molecules in blood that mark the presence of other diseases, but such approaches have failed to find diagnostic biomarkers for AD. Often, initial studies of serum from AD cases and controls have provided promising diagnostic biomarkers, but follow-up studies have not confirmed their usefulness. This study attempts to clarify why this is so by carrying out a serum lipid (fatty molecule) analysis using mass spectrometry (MS) in both an initial serum set of AD cases and matched controls and applying those results to AD diagnosis in a second, independent set of specimens. Sources of variability that could prevent the discovery of useful markers using MS analyses of serum include specimen integrity, variable MS results, problems with statistical methods that analyze MS data and inherent AD patient variability reflected in their sera.
DOI: 10.1594/pangaea.932454
title: Cloud top altitude retrieved from Lidar measurements during ACLOUD at 1 second resolution

description: During the ACLOUD aircraft campaign (23.5.2017 - 26.6.2017) the AMALi Lidar was installed mostly nadir pointing. This dataset contains the cloud top altitude from those measurements (altitudes with a strong signal increase) as well as a cloud mask, derived from the optical depth of the column at 1 second resolution. The majority of the data was collected northwest of the Svalbard archipelago. More details on the campaign can be found in Wendisch 2018 and Ehrlich 2019 and here (https://home.uni-leipzig.de/~ehrlich/ACLOUD_wiki_doku). Please check the data documentation (https://download.pangaea.de/reference/108729/attachments/readme_documentation_AMALi_cloudtop.pdf) before using this dataset.
description: Contact person: Mario Mech (mario.mech@uni-koeln.de)
DOI: 10.1594/pangaea.932455
title: Cloud top altitude retrieved from Lidar measurements during AFLUX at 1 second resolution

description: During the AFLUX aircraft campaign (21.3.2019 - 11.4.2019) the AMALi Lidar was installed mostly nadir pointing. This dataset contains the cloud top altitudes below the aircraft (altitudes with strong signal increase), as well as a cloud mask, derived from the optical depth of the column. The majority of the data was collected northwest of the Svalbard archipelago. More details on the campaign can be found here (https://home.uni-leipzig.de/~ehrlich/AFLUX_wiki_doku). Please check the data documentation before using this dataset.
description: Contact person: Mario Mech (mario.mech@uni-koeln.de)
DOI: 10.1594/pangaea.932522
title: Optical-equivalent snow grain size retrieved from airborne spectral surface albedo measurements during PAMARCMiP 2018, flight P5_210_PAMARCMIP_2018_1803250401

description: The data contain time series of optical-equivalent snow grain size (r_opt) retrieved from airborne spectral surface albedo measurements North of Greenland during PAMARCMiP (Polar Airborne Measurements and Arctic Regional Climate Model Simulation Project) in spring 2018. The data of three flights were measured under cloudless, low Sun, and partly rough surface conditions. Snow r_opt was retrieved from two wavelength approaches based on spectral surface albedo data using (i) the albedo ratio between 1280 nm and 1100 nm wavelength (ratio-method), and (ii) the surface albedo at 1700 nm (1700nm-method). The corresponding spectral surface albedo (also included in the data set) was derived from measurements by the Spectral Modular Airborne Radiation measurement sysTem (SMART) mounted on the Polar 5 research aircraft operated by AWI.
DOI: 10.1594/pangaea.932523
title: Optical-equivalent snow grain size retrieved from airborne spectral surface albedo measurements during PAMARCMiP 2018, flight P5_210_PAMARCMIP_2018_1803260501

description: The data contain time series of optical-equivalent snow grain size (r_opt) retrieved from airborne spectral surface albedo measurements North of Greenland during PAMARCMiP (Polar Airborne Measurements and Arctic Regional Climate Model Simulation Project) in spring 2018. The data of three flights were measured under cloudless, low Sun, and partly rough surface conditions. Snow r_opt was retrieved from two wavelength approaches based on spectral surface albedo data using (i) the albedo ratio between 1280 nm and 1100 nm wavelength (ratio-method), and (ii) the surface albedo at 1700 nm (1700nm-method). The corresponding spectral surface albedo (also included in the data set) was derived from measurements by the Spectral Modular Airborne Radiation measurement sysTem (SMART) mounted on the Polar 5 research aircraft operated by AWI.
DOI: 10.1594/pangaea.932526
title: Optical-equivalent snow grain size retrieved from airborne spectral surface albedo measurements during PAMARCMiP 2018, flight P5_210_PAMARCMIP_2018_1803270701

description: The data contain time series of optical-equivalent snow grain size (r_opt) retrieved from airborne spectral surface albedo measurements North of Greenland during PAMARCMiP (Polar Airborne Measurements and Arctic Regional Climate Model Simulation Project) in spring 2018. The data of three flights were measured under cloudless, low Sun, and partly rough surface conditions. Snow r_opt was retrieved from two wavelength approaches based on spectral surface albedo data using (i) the albedo ratio between 1280 nm and 1100 nm wavelength (ratio-method), and (ii) the surface albedo at 1700 nm (1700nm-method). The corresponding spectral surface albedo (also included in the data set) was derived from measurements by the Spectral Modular Airborne Radiation measurement sysTem (SMART) mounted on the Polar 5 research aircraft operated by AWI.
DOI: 10.1594/pangaea.936079
title: Sea ice drift and surface temperature from autonomous measurements from buoy 2020C41, deployed during IceBird MOSAiC

description: Sea ice drift and surface temperature were measured by the Compact Air-Launched Ice Beacon (CALIB) 2020C41 drifting on Arctic sea ice deployed via aircraft gravity launcher during IceBird MOSAiC. The time series describes the position and additional parameters of the buoy between 08 September 2020 and 30 November 2020 in sample intervals of 1 hour. This buoy got deployed on 2020-09-08T12:02:20 at 83.57363 N and 6.4244 E. However, first data of this buoy was received on 2020-09-10T18:00:00 at 83.5638000 N and 4.5764000 E.
description: The data set has been processed, including the flagging of obvious inconsistencies in position. The position is flagged if the drift velocity exceeds a threshold (Quality flag, position = 1), if the position exceeds extreme values, such as longitude &gt; 360 deg (Quality flag, position = 2), and if the position is exactly 0.0 (Quality flag, position = 4). These quality flag values can be sums of each other.
DOI: 10.1594/pangaea.936083
title: Sea ice drift and surface temperature from autonomous measurements from buoy 2019C29, deployed during IceBird 2019

description: Sea ice drift and surface temperature were measured by the Compact Air-Launched Ice Beacon (CALIB) 2019C29 drifting on Arctic sea ice deployed via aircraft gravity launcher during IceBird 2019. The time series describes the position and additional parameters of the buoy between 05 April 2019 and 08 August 2019 in sample intervals of 1 hour.
description: The data set has been processed, including the flagging of obvious inconsistencies in position. The position is flagged if the drift velocity exceeds a threshold (Quality flag, position = 1), if the position exceeds extreme values, such as longitude &gt; 360 deg (Quality flag, position = 2), and if the position is exactly 0.0 (Quality flag, position = 4). These quality flag values can be sums of each other.
DOI: 10.1594/pangaea.936094
title: Sea ice drift and surface temperature from autonomous measurements from buoy 2017C19, deployed during TIFAX 2017

description: Sea ice drift and surface temperature were measured by the Compact Air-Launched Ice Beacon (CALIB) 2017C19 drifting on Arctic sea ice deployed via aircraft gravity launcher during TIFAX 2017. The time series describes the position and additional parameters of the buoy between 22 August 2017 and 06 March 2020 in sample intervals of 1 hour.
description: The data set has been processed, including the flagging of obvious inconsistencies in position. The position is flagged if the drift velocity exceeds a threshold (Quality flag, position = 1), if the position exceeds extreme values, such as longitude &gt; 360 deg (Quality flag, position = 2), and if the position is exactly 0.0 (Quality flag, position = 4). These quality flag values can be sums of each other.
DOI: 10.25402/pgs.23131523.v1
title: Supplementary Tables: The frequency of major ABCG2, SLCO1B1 and CYP2C9 variants in Asian, Native Hawaiian and Pacific Islander women subgroups: implications for personalized statins dosing

description: Supplementary Tables
DOI: 10.1594/pangaea.935700
title: Sea ice drift and surface temperature from autonomous measurements from buoy 2020C34, deployed during IceBird MOSAiC

description: Sea ice drift and surface temperature were measured by the Compact Air-Launched Ice Beacon (CALIB) 2020C34 drifting on Arctic sea ice deployed via aircraft gravity launcher during IceBird MOSAiC. The time series describes the position and additional parameters of the buoy between 08 September 2020 and 08 November 2020 in sample intervals of 1 hour.
description: The data set has been processed, including the flagging of obvious inconsistencies in position. The position is flagged if the drift velocity exceeds a threshold (Quality flag, position = 1), if the position exceeds extreme values, such as longitude &gt; 360 deg (Quality flag, position = 2), and if the position is exactly 0.0 (Quality flag, position = 4). These quality flag values can be sums of each other.
DOI: 10.1594/pangaea.936612
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130304-D1_151939
DOI: 10.1594/pangaea.936613
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130304-D2_153119
DOI: 10.1594/pangaea.936614
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130304-D3_154208
DOI: 10.1594/pangaea.936615
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130304-D4_155317
DOI: 10.1594/pangaea.936616
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130304-D5_160455
DOI: 10.1594/pangaea.936617
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130306-D1_151627
DOI: 10.1594/pangaea.936618
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130306-D2_152803
DOI: 10.1594/pangaea.936619
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130306-D3_153803
DOI: 10.1594/pangaea.936620
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130306-D4_154905
DOI: 10.1594/pangaea.936621
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130306-D5_160645
DOI: 10.1594/pangaea.936622
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130307-D1_150642
DOI: 10.1594/pangaea.936623
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130307-D2_151752
DOI: 10.1594/pangaea.936624
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130307-D3_154647
DOI: 10.1594/pangaea.936625
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130326-D1_115403
DOI: 10.1594/pangaea.936626
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130326-D2_141332
DOI: 10.1594/pangaea.936627
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130326-D3_143010
DOI: 10.1594/pangaea.936628
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130326-D4_144221
DOI: 10.1594/pangaea.936629
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130326-D5_145217
DOI: 10.1594/pangaea.936630
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130326-D6_150127
DOI: 10.1594/pangaea.936631
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130326-D7_151024
DOI: 10.1594/pangaea.936632
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130326-D8_151804
DOI: 10.1594/pangaea.936633
title: Measurements of wind, temperature, pressure and humidity by dropsonde 20130326-D9_152729
DOI: 10.1594/pangaea.936639
title: Measurements of wind, temperature, pressure and humidity during the ascending profile 20130304_T1 with POLAR 5

description: Altitude (geopotential) is calculated from measured atmospheric static pressure, where the offset in the original data due to the reference pressure at departure was corrected using radar altimeter measurements during lowlevel flight legs between the vertical profiles
DOI: 10.1594/pangaea.936645
title: Measurements of wind, temperature, pressure and humidity during the descending profile 20130304_T2 with POLAR 5

description: Altitude (geopotential) is calculated from measured atmospheric static pressure, where the offset in the original data due to the reference pressure at departure was corrected using radar altimeter measurements during lowlevel flight legs between the vertical profiles
DOI: 10.1594/pangaea.936646
title: Measurements of wind, temperature, pressure and humidity during the ascending profile 20130304_T3 with POLAR 5

description: Altitude (geopotential) is calculated from measured atmospheric static pressure, where the offset in the original data due to the reference pressure at departure was corrected using radar altimeter measurements during lowlevel flight legs between the vertical profiles
DOI: 10.1594/pangaea.936647
title: Measurements of wind, temperature, pressure and humidity during the descending profile 20130304_T4 with POLAR 5

description: Altitude (geopotential) is calculated from measured atmospheric static pressure, where the offset in the original data due to the reference pressure at departure was corrected using radar altimeter measurements during lowlevel flight legs between the vertical profiles
DOI: 10.1594/pangaea.936648
title: Measurements of wind, temperature, pressure and humidity during the ascending profile 20130304_T5 with POLAR 5

description: Altitude (geopotential) is calculated from measured atmospheric static pressure, where the offset in the original data due to the reference pressure at departure was corrected using radar altimeter measurements during lowlevel flight legs between the vertical profiles
DOI: 10.1594/pangaea.936650
title: Measurements of wind, temperature, pressure and humidity during the descending profile 20130304_T6 with POLAR 5

description: Altitude (geopotential) is calculated from measured atmospheric static pressure, where the offset in the original data due to the reference pressure at departure was corrected using radar altimeter measurements during lowlevel flight legs between the vertical profiles
DOI: 10.1594/pangaea.936651
title: Measurements of wind, temperature, pressure and humidity during the ascending profile 20130304_T7 with POLAR 5

description: Altitude (geopotential) is calculated from measured atmospheric static pressure, where the offset in the original data due to the reference pressure at departure was corrected using radar altimeter measurements during lowlevel flight legs between the vertical profiles
DOI: 10.1594/pangaea.936655
title: Measurements of wind, temperature, pressure and humidity during the ascending profile 20130306_T1 with POLAR 5

description: Altitude (geopotential) is calculated from measured atmospheric static pressure, where the offset in the original data due to the reference pressure at departure was corrected using radar altimeter measurements during lowlevel flight legs between the vertical profiles
DOI: 10.1594/pangaea.936656
title: Measurements of wind, temperature, pressure and humidity during the descending profile 20130306_T2 with POLAR 5

description: Altitude (geopotential) is calculated from measured atmospheric static pressure, where the offset in the original data due to the reference pressure at departure was corrected using radar altimeter measurements during lowlevel flight legs between the vertical profiles
DOI: 10.1594/pangaea.936660
title: Measurements of wind, temperature, pressure and humidity during the ascending profile 20130306_T3 with POLAR 5

description: Altitude (geopotential) is calculated from measured atmospheric static pressure, where the offset in the original data due to the reference pressure at departure was corrected using radar altimeter measurements during lowlevel flight legs between the vertical profiles
DOI: 10.1594/pangaea.936661
title: Measurements of wind, temperature, pressure and humidity during the descending profile 20130306_T4 with POLAR 5

description: Altitude (geopotential) is calculated from measured atmospheric static pressure, where the offset in the original data due to the reference pressure at departure was corrected using radar altimeter measurements during lowlevel flight legs between the vertical profiles
DOI: 10.1594/pangaea.936663
title: Measurements of wind, temperature, pressure and humidity during the ascending profile 20130306_T5 with POLAR 5

description: Altitude (geopotential) is calculated from measured atmospheric static pressure, where the offset in the original data due to the reference pressure at departure was corrected using radar altimeter measurements during lowlevel flight legs between the vertical profiles
DOI: 10.1594/pangaea.936664
title: Measurements of wind, temperature, pressure and humidity during the descending profile 20130306_T6 with POLAR 5

description: Altitude (geopotential) is calculated from measured atmospheric static pressure, where the offset in the original data due to the reference pressure at departure was corrected using radar altimeter measurements during lowlevel flight legs between the vertical profiles
DOI: 10.1594/pangaea.936665
title: Measurements of wind, temperature, pressure and humidity during the ascending profile 20130306_T7 with POLAR 5

description: Altitude (geopotential) is calculated from measured atmospheric static pressure, where the offset in the original data due to the reference pressure at departure was corrected using radar altimeter measurements during lowlevel flight legs between the vertical profiles
DOI: 10.1594/pangaea.936666
title: Measurements of wind, temperature, pressure and humidity during the ascending profile 20130307_T1 with POLAR 5

description: Altitude (geopotential) is calculated from measured atmospheric static pressure, where the offset in the original data due to the reference pressure at departure was corrected using radar altimeter measurements during lowlevel flight legs between the vertical profiles
DOI: 10.1594/pangaea.936805
title: Master track from POLAR 6 flight P6_224_Perma_X_2021_2106140101 in 1 sec resolution (zipped, 100 kBytes)
DOI: 10.1594/pangaea.936806
title: Master track from POLAR 6 flight P6_224_Perma_X_2021_2106150201 in 1 sec resolution (zipped, 80 kBytes)
DOI: 10.1594/pangaea.936807
title: Master track from POLAR 6 flight P6_224_Perma_X_2021_2106250301 in 1 sec resolution (zipped, 138 kBytes)
DOI: 10.1594/pangaea.936808
title: Master track from POLAR 6 flight P6_224_Perma_X_2021_2106260401 in 1 sec resolution (zipped, 190 kBytes)
DOI: 10.1594/pangaea.936809
title: Master track from POLAR 6 flight P6_224_Perma_X_2021_2106270501 in 1 sec resolution (zipped, 215 kBytes)
DOI: 10.1594/pangaea.936810
title: Master track from POLAR 6 flight P6_224_Perma_X_2021_2106280601 in 1 sec resolution (zipped, 217 kBytes)
DOI: 10.1594/pangaea.936811
title: Master track from POLAR 6 flight P6_224_Perma_X_2021_2107010701 in 1 sec resolution (zipped, 127 kBytes)
DOI: 10.1594/pangaea.936812
title: Master track from POLAR 6 flight P6_224_Perma_X_2021_2107020801 in 1 sec resolution (zipped, 200 kBytes)
DOI: 10.1594/pangaea.936813
title: Master track from POLAR 6 flight P6_224_Perma_X_2021_2107030901 in 1 sec resolution (zipped, 178 kBytes)
DOI: 10.1594/pangaea.936814
title: Master track from POLAR 6 flight P6_224_Perma_X_2021_2107091001 in 1 sec resolution (zipped, 240 kBytes)
DOI: 10.1594/pangaea.936815
title: Master track from POLAR 6 flight P6_224_Perma_X_2021_2107101101 in 1 sec resolution (zipped, 281 kBytes)
DOI: 10.1594/pangaea.936818
title: Master tracks in different resolutions from POLAR 6 flight P6_224_Perma_X_2021_2106140101

description: This dataset contains the master track in 30 sec resolution and does not contain flight altitude. For other resolutions see Further details or Other version. The flight altitude is included in the 1-sec resolution dataset.
DOI: 10.1594/pangaea.936819
title: Master tracks in different resolutions from POLAR 6 flight P6_224_Perma_X_2021_2106150201 (Certification flight)

description: This dataset contains the master track in 30 sec resolution and does not contain flight altitude. For other resolutions see Further details or Other version. The flight altitude is included in the 1-sec resolution dataset.
DOI: 10.1594/pangaea.936820
title: Master tracks in different resolutions from POLAR 6 flight P6_224_Perma_X_2021_2106250301

description: This dataset contains the master track in 30 sec resolution and does not contain flight altitude. For other resolutions see Further details or Other version. The flight altitude is included in the 1-sec resolution dataset.