cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.941338
title: Sea ice drift from autonomous measurements from buoy 2014C5, deployed during the IRO2/SMOSIce field campaign in the Barents Sea March 2014

description: Sea ice drift, surface temperature and air pressure were measured by the Compact Air-Launched Ice Beacon (CALIB) drifting on Arctic sea ice deployed via aircraft during the IRO2/SMOSIce field campaign in the Barents Sea March 2014. This data set is especially suited to study the interaction between sea ice and tides due to high temporal sampling every 15 minutes. Measurements of surface temperature and air pressure were not subject to a quality check.
description: Measurements of surface temperature and air pressure were not subject to a quality check. Latitude and longitude data quality checked by visual inspection.; QF pos = 0, if data passed quality check.
DOI: 10.1594/pangaea.941339
title: Sea ice drift from autonomous measurements from buoy 2014C6, deployed during the IRO2/SMOSIce field campaign in the Barents Sea March 2014

description: Sea ice drift, surface temperature and air pressure were measured by the Compact Air-Launched Ice Beacon (CALIB) drifting on Arctic sea ice deployed via aircraft during the IRO2/SMOSIce field campaign in the Barents Sea March 2014. This data set is especially suited to study the interaction between sea ice and tides due to high temporal sampling every 15 minutes. Measurements of surface temperature and air pressure were not subject to a quality check.
description: Measurements of surface temperature and air pressure were not subject to a quality check. Latitude and longitude data quality checked by visual inspection.; QF pos = 0, if data passed quality check.
DOI: 10.1594/pangaea.941340
title: Sea ice drift from autonomous measurements from buoy 2014C7, deployed during the IRO2/SMOSIce field campaign in the Barents Sea March 2014

description: Sea ice drift, surface temperature and air pressure were measured by the Compact Air-Launched Ice Beacon (CALIB) drifting on Arctic sea ice deployed via aircraft during the IRO2/SMOSIce field campaign in the Barents Sea March 2014. This data set is especially suited to study the interaction between sea ice and tides due to high temporal sampling every 15 minutes. Measurements of surface temperature and air pressure were not subject to a quality check.
description: Measurements of surface temperature and air pressure were not subject to a quality check. Latitude and longitude data quality checked by visual inspection.; QF pos = 0, if data passed quality check.
DOI: 10.1594/pangaea.941341
title: Sea ice drift from autonomous measurements from buoy 2014C8, deployed during the IRO2/SMOSIce field campaign in the Barents Sea March 2014

description: Sea ice drift, surface temperature and air pressure were measured by the Compact Air-Launched Ice Beacon (CALIB) drifting on Arctic sea ice deployed via aircraft during the IRO2/SMOSIce field campaign in the Barents Sea March 2014. This data set is especially suited to study the interaction between sea ice and tides due to high temporal sampling every 15 minutes. Measurements of surface temperature and air pressure were not subject to a quality check.
description: Measurements of surface temperature and air pressure were not subject to a quality check. Latitude and longitude data quality checked by visual inspection.; QF pos = 0, if data passed quality check.
DOI: 10.1594/pangaea.941343
title: Sea ice drift from autonomous measurements from buoy 2014C9, deployed during the IRO2/SMOSIce field campaign in the Barents Sea March 2014

description: Sea ice drift, surface temperature and air pressure were measured by the Compact Air-Launched Ice Beacon (CALIB) drifting on Arctic sea ice deployed via aircraft during the IRO2/SMOSIce field campaign in the Barents Sea March 2014. This data set is especially suited to study the interaction between sea ice and tides due to high temporal sampling every 15 minutes. Measurements of surface temperature and air pressure were not subject to a quality check.
description: Measurements of surface temperature and air pressure were not subject to a quality check. Latitude and longitude data quality checked by visual inspection.; QF pos = 0, if data passed quality check.
DOI: 10.1594/pangaea.941344
title: Sea ice drift from autonomous measurements from buoy 2014C10, deployed during the IRO2/SMOSIce field campaign in the Barents Sea March 2014

description: Sea ice drift, surface temperature and air pressure were measured by the Compact Air-Launched Ice Beacon (CALIB) drifting on Arctic sea ice deployed via aircraft during the IRO2/SMOSIce field campaign in the Barents Sea March 2014. This data set is especially suited to study the interaction between sea ice and tides due to high temporal sampling every 15 minutes. Measurements of surface temperature and air pressure were not subject to a quality check.
description: Measurements of surface temperature and air pressure were not subject to a quality check. Latitude and longitude data quality checked by visual inspection.; QF pos = 0, if data passed quality check.
DOI: 10.1594/pangaea.941345
title: Sea ice drift from autonomous measurements from buoy 2014C11, deployed during the IRO2/SMOSIce field campaign in the Barents Sea March 2014

description: Sea ice drift, surface temperature and air pressure were measured by the Compact Air-Launched Ice Beacon (CALIB) drifting on Arctic sea ice deployed via aircraft during the IRO2/SMOSIce field campaign in the Barents Sea March 2014. This data set is especially suited to study the interaction between sea ice and tides due to high temporal sampling every 15 minutes. Measurements of surface temperature and air pressure were not subject to a quality check.
description: Measurements of surface temperature and air pressure were not subject to a quality check. Latitude and longitude data quality checked by visual inspection.; QF pos = 0, if data passed quality check.
DOI: 10.1594/pangaea.941346
title: Sea ice drift from autonomous measurements from buoy 2014C12, deployed during the IRO2/SMOSIce field campaign in the Barents Sea March 2014

description: Sea ice drift, surface temperature and air pressure were measured by the Compact Air-Launched Ice Beacon (CALIB) drifting on Arctic sea ice deployed via aircraft during the IRO2/SMOSIce field campaign in the Barents Sea March 2014. This data set is especially suited to study the interaction between sea ice and tides due to high temporal sampling every 15 minutes. Measurements of surface temperature and air pressure were not subject to a quality check.
description: Measurements of surface temperature and air pressure were not subject to a quality check. Latitude and longitude data quality checked by visual inspection.; QF pos = 0, if data passed quality check.
DOI: 10.1594/pangaea.941347
title: Sea ice drift from autonomous measurements from buoy 2014C13, deployed during the IRO2/SMOSIce field campaign in the Barents Sea March 2014

description: Sea ice drift, surface temperature and air pressure were measured by the Compact Air-Launched Ice Beacon (CALIB) drifting on Arctic sea ice deployed via aircraft during the IRO2/SMOSIce field campaign in the Barents Sea March 2014. This data set is especially suited to study the interaction between sea ice and tides due to high temporal sampling every 15 minutes. Measurements of surface temperature and air pressure were not subject to a quality check.
description: Measurements of surface temperature and air pressure were not subject to a quality check. Latitude and longitude data quality checked by visual inspection.; QF pos = 0, if data passed quality check.
DOI: 10.1594/pangaea.941348
title: Sea ice drift from autonomous measurements from buoy 2014C14, deployed during the IRO2/SMOSIce field campaign in the Barents Sea March 2014

description: Sea ice drift, surface temperature and air pressure were measured by the Compact Air-Launched Ice Beacon (CALIB) drifting on Arctic sea ice deployed via aircraft during the IRO2/SMOSIce field campaign in the Barents Sea March 2014. This data set is especially suited to study the interaction between sea ice and tides due to high temporal sampling every 15 minutes. Measurements of surface temperature and air pressure were not subject to a quality check.
description: Measurements of surface temperature and air pressure were not subject to a quality check. Latitude and longitude data quality checked by visual inspection.; QF pos = 0, if data passed quality check.
DOI: 10.1594/pangaea.941349
title: Sea ice drift from autonomous measurements from buoy 2014C15, deployed during the IRO2/SMOSIce field campaign in the Barents Sea March 2014

description: Sea ice drift, surface temperature and air pressure were measured by the Compact Air-Launched Ice Beacon (CALIB) drifting on Arctic sea ice deployed via aircraft during the IRO2/SMOSIce field campaign in the Barents Sea March 2014. This data set is especially suited to study the interaction between sea ice and tides due to high temporal sampling every 15 minutes. Measurements of surface temperature and air pressure were not subject to a quality check.
description: Measurements of surface temperature and air pressure were not subject to a quality check. Latitude and longitude data quality checked by visual inspection.; QF pos = 0, if data passed quality check.
DOI: 10.1594/pangaea.941498
title: French Airborne Measurement Platform (PMA) cloud particle size distribution and volumic cloud particle diffusion properties dataset near Svalbard for AFLUX measurement campaign with POLAR 5 in 2019

description: This data set is composed of in-situ measurement of arctic cloud microphysical properties (particle size distribution and volumic cloud particle diffusion properties) observed during the AFLUX-AC3 campaign, which occurred between 19 March and 11 April 2019. These measurements were made using the 2D stereoscopic (2D-S, SPEC Inc.) and Polar Nephelometer (Gayet et al., 1997) probes from the airborne measurement platform of the Laboratoire de Météorologie Physique (CNRS/UCA, Aubière, France). There is one file per flight. All files are in NetCDF format, with a complete description of the parameters inside. A detailed list of the parameters present in the data set is added in a separate document.
description: Every file with nc extension is a data set in NetCDF format, with the DBdescription.pdf describing all parameters included.There is one file per flight.CAUTION : this dataset was made using the 2D-S probe and thus has two set of similar measurement for the horizontal and vertical sampling photodiode array. This can be confusing, and the authors recommend using only the horizontal sampling data set if the users are unsure. Mixing or using both sampling lines are up to the user proficiency with this data.
DOI: 10.1594/pangaea.941538
title: French Airborne Measurement Platform (PMA) cloud particle size distribution and volumic cloud particle diffusion properties dataset near Svalbard for MOSAIC-ACA measurement campaign in 2020

description: This data set is composed of in-situ measurement of arctic cloud microphysical properties (particle size distribution and volumic cloud particle diffusion properties) observed during the MOSAIC-ACA campaign, which occurred between August 30th and September 13th 2020. These measurements were made using the 2D stereoscopic (2D-S, SPEC Inc.) and Polar Nephelometer (Gayet et al., 1997) probes from the airborne measurement platform of the Laboratoire de Météorologie Physique (CNRS/UCA, Aubière, France). There is one file per flight. All files are in NetCDF format, with a complete description of the parameters inside. A detailed list of the parameters present in the data set is added in a separate document.
DOI: 10.1594/pangaea.944070
title: Microwave brightness temperature measurements during the ACLOUD Arctic airborne campaign in early summer 2017 out of Svalbard

description: The data set contains measurements performed by the passive radiometer as part of the MiRAC (Microwave Radar and radiometer for Arctic Clouds) operated on board the Plar 5 research aircraft during 19 flights of the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign, carried out in early summer 2017 northwest of Svalbard (Norway). The measurement campaign is embedded in the Transregional Collaborative Research Centre TR 172 (ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)3. The published data set consists of brightness temperature measurements at nadir view with respect to the aircrafts fuselage at six frequencies in the water vapor absorption band at around 183.31 GHz and at two additional channels at 243 and 340 GHz. It should be considerd, that the brightness temperatures have not been corrected for aircraft attitude. The data set has been quality checked and is available in netcdf format for each flight separately. Details on the instrument can be found in Mech et al. (2019, doi:10.5194/amt-12-5019-2019).
description: The files contain brightness temperatures, measurement times, and some key numbers of the operated instrument. In addition meta information and attributes are provided. The files are in netcdf format following CF-1.8.
DOI: 10.1594/pangaea.946965
title: Spectral solar cloud top and surface radiance measured by airborne spectral imaging during the MOSAiC-ACA campaign in September 2020

description: Hyperspectral fields of visible and near infrared cloud top and surface radiance observed by AISA Eagle (1024 spatial pixels and 504 spectral channels between 400 and 993 nm) and AISA Hawk (384 spatial pixels and 288 spectral channels between 931 and 2545 nm) during the Multidisciplinary Drifting Observatory for the Study of Arctic Climate - Airborne observations in the Central Arctic (MOSAiC-ACA) campaign in September 2020.
DOI: 10.1594/pangaea.947002
title: Aircraft measurements of aerosol optical depth in the Arctic during flight P5_216_AFLUX_2019_1903230401
DOI: 10.1594/pangaea.947003
title: Aircraft measurements of aerosol optical depth in the Arctic during flight P5_216_AFLUX_2019_1903240501
DOI: 10.1594/pangaea.947004
title: Aircraft measurements of aerosol optical depth in the Arctic during flight P5_216_AFLUX_2019_1903250602
DOI: 10.1594/pangaea.947005
title: Aircraft measurements of aerosol optical depth in the Arctic during flight P5_216_AFLUX_2019_1903300701
DOI: 10.1594/pangaea.947007
title: Aircraft measurements of aerosol optical depth in the Arctic during flight P5_216_AFLUX_2019_1903310801
DOI: 10.1594/pangaea.947009
title: Aircraft measurements of aerosol optical depth in the Arctic during flight P5_216_AFLUX_2019_1904031002
DOI: 10.1594/pangaea.947010
title: Aircraft measurements of aerosol optical depth in the Arctic during flight P5_216_AFLUX_2019_1904061202
DOI: 10.1594/pangaea.947012
title: Aircraft measurements of aerosol optical depth in the Arctic during flight P5_216_AFLUX_2019_1904071301
DOI: 10.1594/pangaea.947014
title: Aircraft measurements of aerosol optical depth in the Arctic during flight P5_216_AFLUX_2019_1904081401
DOI: 10.1594/pangaea.947016
title: Aircraft measurements of aerosol optical depth in the Arctic during flight P5_216_AFLUX_2019_1904111501
DOI: 10.1594/pangaea.946922
title: Aircraft measurements of aerosol optical depth in the Arctic during flight P5_216_AFLUX_2019_1903210301
DOI: 10.1594/pangaea.945988
title: Radar reflectivities at 94 GHz and microwave brightness temperature measurements at 89 GHz during the ACLOUD Arctic airborne campaign in early summer 2017 out of Svalbard

description: The published data set consists of measurements performed by the active cloud radar as part of the MiRAC (Microwave Radar and radiometer for Arctic Clouds) operated on board the Polar 5 research aircraft during 19 flights of the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign, carried out in early summer 2017 northwest of Svalbard (Norway). The measurement campaign is embedded in the Transregional Collaborative Research Centre TR 172 (ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)3. The published data set consists of radar reflectivities of the FMCW 94 GHz cloud radar transformed to nadir view as well as brightness temperature measurements at 89 GHz with a 25 deg backwards inclination with respect to the aircraft fuselage The data set has been quality checked and is available in netcdf format for each flight separately.Details on the instrument can be found in Mech et al. (2019) (doi:10.5194/amt-12-5019-2019)
description: The files contain radar reflectivities, brightness temperatures, measurement times, flags for the filters applied and some key numbers of the operated instrument. In addition meta information and attributes are provided. The files are in netcdf format following CF-1.8.---This is an old version, please refer to the new version (see "replace by" reference).
DOI: 10.1594/pangaea.947654
title: Master tracks in different resolutions from POLAR 6 flight P6_231_HALO_2022_2203170101
DOI: 10.1594/pangaea.947655
title: Master tracks in different resolutions from POLAR 6 flight P6_231_HALO_2022_2203170202
DOI: 10.1594/pangaea.947656
title: Master tracks in different resolutions from POLAR 6 flight P6_231_HALO_2022_2203190301
DOI: 10.1594/pangaea.947657
title: Master tracks in different resolutions from POLAR 6 flight P6_231_HALO_2022_2203200401
DOI: 10.1594/pangaea.947658
title: Master tracks in different resolutions from POLAR 6 flight P6_231_HALO_2022_2203220501
DOI: 10.1594/pangaea.947659
title: Master tracks in different resolutions from POLAR 6 flight P6_231_HALO_2022_2203240601
DOI: 10.1594/pangaea.947660
title: Master tracks in different resolutions from POLAR 6 flight P6_231_HALO_2022_2203260702
DOI: 10.1594/pangaea.947661
title: Master tracks in different resolutions from POLAR 6 flight P6_231_HALO_2022_2203280801
DOI: 10.1594/pangaea.947662
title: Master tracks in different resolutions from POLAR 6 flight P6_231_HALO_2022_2203290901
DOI: 10.1594/pangaea.947663
title: Master tracks in different resolutions from POLAR 6 flight P6_231_HALO_2022_2203301001
DOI: 10.1594/pangaea.947664
title: Master tracks in different resolutions from POLAR 6 flight P6_231_HALO_2022_2204011101
DOI: 10.1594/pangaea.947665
title: Master tracks in different resolutions from POLAR 6 flight P6_231_HALO_2022_2204041201
DOI: 10.1594/pangaea.947666
title: Master tracks in different resolutions from POLAR 6 flight P6_231_HALO_2022_2204051301
DOI: 10.1594/pangaea.947667
title: Master tracks in different resolutions from POLAR 6 flight P6_231_HALO_2022_2204081401
DOI: 10.1594/pangaea.947668
title: Master tracks in different resolutions from POLAR 6 flight P6_231_HALO_2022_2204091501
DOI: 10.1594/pangaea.947669
title: Master tracks in different resolutions from POLAR 6 flight P6_231_HALO_2022_2204101601
DOI: 10.1594/pangaea.947670
title: Master tracks in different resolutions from POLAR 6 flight P6_231_HALO_2022_2204131701
DOI: 10.1594/pangaea.947671
title: Master tracks in different resolutions from POLAR 6 flight P6_231_HALO_2022_2204131802
DOI: 10.1594/pangaea.947675
title: Master track from POLAR 6 flight P6_231_HALO_2022_2203170101 in 1 sec resolution (zipped, 91 kBytes)
DOI: 10.1594/pangaea.947677
title: Master track from POLAR 6 flight P6_231_HALO_2022_2203170202 in 1 sec resolution (zipped, 117 kBytes)
DOI: 10.1594/pangaea.947678
title: Master track from POLAR 6 flight P6_231_HALO_2022_2203190301 in 1 sec resolution (zipped, 27 kBytes)
DOI: 10.1594/pangaea.947679
title: Master track from POLAR 6 flight P6_231_HALO_2022_2203200401 in 1 sec resolution (zipped, 175 kBytes)
DOI: 10.1594/pangaea.947680
title: Master track from POLAR 6 flight P6_231_HALO_2022_2203220501 in 1 sec resolution (zipped, 205 kBytes)
DOI: 10.1594/pangaea.947681
title: Master track from POLAR 6 flight P6_231_HALO_2022_2203240601 in 1 sec resolution (zipped, 197 kBytes)
DOI: 10.1594/pangaea.947682
title: Master track from POLAR 6 flight P6_231_HALO_2022_2203260702 in 1 sec resolution (zipped, 168 kBytes)
DOI: 10.1594/pangaea.947683
title: Master track from POLAR 6 flight P6_231_HALO_2022_2203280801 in 1 sec resolution (zipped, 56 kBytes)
DOI: 10.1594/pangaea.947684
title: Master track from POLAR 6 flight P6_231_HALO_2022_2203290901 in 1 sec resolution (zipped, 201 kBytes)
DOI: 10.1594/pangaea.947685
title: Master track from POLAR 6 flight P6_231_HALO_2022_2203301001 in 1 sec resolution (zipped, 185 kBytes)
DOI: 10.1594/pangaea.947686
title: Master track from POLAR 6 flight P6_231_HALO_2022_2204011101 in 1 sec resolution (zipped, 192 kBytes)
DOI: 10.1594/pangaea.947687
title: Master track from POLAR 6 flight P6_231_HALO_2022_2204041201 in 1 sec resolution (zipped, 160 kBytes)
DOI: 10.1594/pangaea.947688
title: Master track from POLAR 6 flight P6_231_HALO_2022_2204051301 in 1 sec resolution (zipped, 166 kBytes)
DOI: 10.1594/pangaea.947689
title: Master track from POLAR 6 flight P6_231_HALO_2022_2204081401 in 1 sec resolution (zipped, 194 kBytes)
DOI: 10.15468/dl.ubbt9z
title: Occurrence Download

description: A dataset containing 15899 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydrobates castro (Harcourt, 1851)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 15899 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021314-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.947690
title: Master track from POLAR 6 flight P6_231_HALO_2022_2204091501 in 1 sec resolution (zipped, 180 kBytes)
DOI: 10.1594/pangaea.947691
title: Master track from POLAR 6 flight P6_231_HALO_2022_2204101601 in 1 sec resolution (zipped, 184 kBytes)
DOI: 10.1594/pangaea.947692
title: Master track from POLAR 6 flight P6_231_HALO_2022_2204131701 in 1 sec resolution (zipped, 109 kBytes)
DOI: 10.1594/pangaea.947693
title: Master track from POLAR 6 flight P6_231_HALO_2022_2204131802 in 1 sec resolution (zipped, 210 kBytes)
DOI: 10.1594/pangaea.947747
title: Master tracks in different resolutions from POLAR 5 flight P5_232_HALO_2022_2203100101
DOI: 10.1594/pangaea.947748
title: Master tracks in different resolutions from POLAR 5 flight P5_232_HALO_2022_2203170201
DOI: 10.1594/pangaea.947749
title: Master tracks in different resolutions from POLAR 5 flight P5_232_HALO_2022_2203170302
DOI: 10.1594/pangaea.947750
title: Master tracks in different resolutions from POLAR 5 flight P5_232_HALO_2022_2203200401
DOI: 10.1594/pangaea.947751
title: Master tracks in different resolutions from POLAR 5 flight P5_232_HALO_2022_2203220501
DOI: 10.1594/pangaea.947752
title: Master tracks in different resolutions from POLAR 5 flight P5_232_HALO_2022_2203220602
DOI: 10.1594/pangaea.947753
title: Master tracks in different resolutions from POLAR 5 flight P5_232_HALO_2022_2203250701
DOI: 10.1594/pangaea.947754
title: Master tracks in different resolutions from POLAR 5 flight P5_232_HALO_2022_2203280801
DOI: 10.1594/pangaea.947755
title: Master tracks in different resolutions from POLAR 5 flight P5_232_HALO_2022_2203290901
DOI: 10.1594/pangaea.947756
title: Master tracks in different resolutions from POLAR 5 flight P5_232_HALO_2022_2203291002
DOI: 10.1594/pangaea.947757
title: Master tracks in different resolutions from POLAR 5 flight P5_232_HALO_2022_2203301101
DOI: 10.1594/pangaea.947758
title: Master tracks in different resolutions from POLAR 5 flight P5_232_HALO_2022_2204011201
DOI: 10.1594/pangaea.947759
title: Master tracks in different resolutions from POLAR 5 flight P5_232_HALO_2022_2204041301
DOI: 10.1594/pangaea.947760
title: Master tracks in different resolutions from POLAR 5 flight P5_232_HALO_2022_2204051401
DOI: 10.1594/pangaea.947761
title: Master tracks in different resolutions from POLAR 5 flight P5_232_HALO_2022_2204071501
DOI: 10.1594/pangaea.947762
title: Master tracks in different resolutions from POLAR 5 flight P5_232_HALO_2022_2204101601