cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.940037
title: Raw data from 75kHz VM-ADCP (vessel-mounted Acoustic Doppler Current Profiler) during MERIAN cruise MSM93

description: The 75kHz and the 38kHz Teledyne Ocean Surveyor ADCPs built into the hull of RV MERIAN were operated continuously during MSM93 when in waters where diplomatic clearances existed. The data recording was restarted more than once a day to ease subsequent data processing. In the beginning of the cruise various different settings were tried out (see auxiliary information in this data set and information in cruise report). In particular, the 75kHz ADCP was programmed to record vertical bins of 4m size. The goal was to get an increased vertical resolution. However, this was switched back to 8m bins on July 5 in order to achieve a better signal to noise ratio.
DOI: 10.1594/pangaea.940665
title: Mixed Mode Dynamic Fracture Toughness of Westerly Granite and Berea Sandstone

description: We investigate the microstructural controls of mixed mode dynamic fracture propagation in Westerly Granite and Berea Sandstone. Notched semi-circular bend samples of each rock type are loaded using a Split Hopkinson Pressure Bar apparatus and crack propagation across the sample is captured using an integrated Shimadzu Hypervision HPV-2 high-speed camera system. Using digital image correlation and a multivariable linear regression based in linear elastic fracture mechanics for near crack tip displacements, we make instantaneous measurements of the mode I (opening) and mode II (shear) components to the total stress intensity field during crack initiation and growth. Our results allow evaluation of fracture propagation in rocks with micromechanical models based on observations in engineered materials.
description: File descriptions: Results_Summary.xlsx contains the experimental setup and mode I and mode II stress intensity factor evolution for each experiment saved on separate worksheets.Westerly_Granite_SG_Data.xlsx and Berea_Sandstone_SG_Data.xlsx contain the voltage time series for the tests described in the above study collected by the Split Hopkinson Pressure Bar during loading of each sample. The first worksheet in each file describes the format of each of the following datasets (contained in subsequent worksheets)..Avi files contain the high speed camera videos of sample deformation and crack propagation during each test contained in Results_Summary.xlsx. The number in the lower right corner of each frame is the time since recording began in microseconds. Near crack tip displacements were calculated using digital image correlation for each frame in the .AVI file. The sample name corresponding to each video is indicated in the file name.
DOI: 10.1594/pangaea.940049
title: Sun Photometer Data (RAW) 2020 from Ny-Ålesund, Svalbard (AWIPEV)

description: Voltages are measured by a sun photometer, type SP1a by Dr. Schulz & Partner GmbH in 17 wavelengths between λ = 369nm to 1023nm with a field of view of 1° × 1° and a time resolution of 1 minute. In winter 2012/13 a new sun photometer was installed and just 10 of 17 wavelengths remained in the same wavelength range. With the nine out of ten wavelengths optical parameters like the AOD are computed. The one, which is devoted to water vapor is omitted. The instrument is calibrated regularly in pristine conditions at Izaña, Tenerife, via Langley method.The number of individual measurements differs between a few hundreds, especially in March and September, to up to 12,000 in early summer. No trend in each month can be seen comparing the amount of cloud-free measurements over the years. Only an annual cycle due to polar day and night is included in the data. Due to the instrument data is only available in clear sky conditions.
description: This data set is only the raw data corresponding to doi:10.1594/PANGAEA.937630. No calculation, for example for AOD, is done, but can be performed by everyone with the provided data in the following way (the gauge values of every day can be found in the header):1) spectra transmission: TR = (U20/UE *KFM)^(1/M), with U20: measured voltage, UE: gauge voltage/extraterrestrial signal, KFM = solar eccentricity, M: air mass2) total AOD: tau_G = |ln(TR)|3) ozone AOD: tau_O3 = (O3_Dob * O3_Gaug) / 1000, with O3_Dob: external measurement value for total ozone concentration in column [DU], O3_Gaug: Gauge value of filter4) AOD of Rayleigh atmosphere: tau_R = P/P0 * (0.00865*λ^ex), ex = - (3.9164 + 0.074*λ + 0.05/λ), with P = 1013.25hPa, P0: pressure at measurement point [hPa], λ: wavelength of filter [µm]5) AOD of aerosol: tau_AE = tau_G - tau_R - tau_O3 ---The data is a tar.gz file. Each measurement day contains in netcdf format the following variables:Time (minutes after midnight UTC)wavelengths ([nm], lambda)pressure [hPa]voltage [V]Header with gauge values
DOI: 10.15468/dl.w03o3t
title: Occurrence Download

description: A dataset containing 540 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Actinostemon verticillatus (Klotzsch) Baill."
 ]
}

 The dataset includes 540 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018535-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.939713
title: Windlidar data 2018 from Ny-Ålesund, Svalbard (AWIPEV)

description: Since December 2012 AWIPEV operates a commercial Wind Lidar (WindCube 200, Leosphere) on the roof of the AWIPEV observatory in Ny-Ålesund, which runs unattended and continuously. It uses the Doppler effect of an eye safe laser at 1.5 μm wavelength to measure the 3-dimensional vertically resolved wind with typically 10min temporal resolution. The resolution in altitude is 50m. Its range depends on weather conditions and can reach up to 5km. In this dataset the wind lidar data of 2018 from AWIPEV are presented, recorded for every day individually, saved in netcdf format and provided for download here. No measurement were taken in the months may, june and august.
description: The netcdf file for every day includes:- Time- Time for Matlab- Height- u, v and w component of the tropospheric wind field- absolute wind speed- wind direction
DOI: 10.1594/pangaea.940364
title: Low-Level-Jet and Inversion statistics for Weddell Sea region of Antarctica

description: This data set is a climatology (2002–2016) of low level jet (LLJ) and inversion parameters for the Weddell Sea region of Antarctica. Mean (Summer=April-Sept., Winter=Dez.-Jan., Annual) values were computed from hourly COSMO-CLM model output. To detect a LLJ the lowest 1 km of the atmosphere was searched for a wind maximum (&gt;2m/s than above and below) and the following parameters were taken: height (m) and wind speed (m/s) of the wind maximum, relative wind speed increase (compared to above and below), and the difference (LLJ-height minus near-surface-height) of potential temperature (K) and wind direction (°). To detect an inversion the lowest 1 km of the atmosphere was searched for the point where the potential temperature gradient dropped below 2 K/100 m and the following parameters were taken: height (m) of the inversion and strengh (K) defined as difference of potential temperature (inversion-height minus near-surface-height). The frequency (%) gives fraction of time a LLJ / inversion was detected. Furthermore the dataset of the mean wind field at 10 m above ground was added.For more detail and the exact description on the search algorithm see doi:10.3390/atmos12121635. For more details on the simulation see doi:10.5194/gmd-13-1809-2020.
description: Acknowledgments: The COSMO-CLM model was provided by the German Meteorological Service and the CLM community. Computing time was provided by Deutsches Klimarechenzentrum (DKRZ).
DOI: 10.1594/pangaea.940717
title: Infrared camera raw data (ir_variocam_01) at the remote sensing site on the ice floe during MOSAiC expedition 2019/2020

description: The infrared camera (7.5–14 µm) was mostly observing the snow surface and aligned instruments at the remote sensing site during the MOSAiC expedition in the central Arctic, saving data in the proprietary IRB format in 10 minute intervals. The instrument used was the Infrared VarioCAM HDx head 625 S camera from InfraTec. Between October to March it was mostly working continuously while the data from April to September is more sparse. Occasional transects (remote sensing transects) and experiments were recorded in higher acquisition rates. Over the course of the expedition, the camera had several remote sensing instruments and the snow and ice surface in the field of view and can be used as a supportive dataset about the temperature and for events at the remote sensing site. It was operated always in conjunction with a visual camera (doi:10.1594/PANGAEA.939362), pointing at the same target.This raw data comes in the proprietary IRB format to open with the IRBIS 3.1 software from the InfraTec company.
description: IRB is a proprietary data format for recording thermographic data, i.e. spatial images of temperatures. It can be opened by software "IRBIS" by InfraTec (www.infratec.eu).
DOI: 10.1594/pangaea.940793
title: Svalbard pingo database

description: The data contains the list of pingo and pingo-like forms over Svalbard archipelago. Each pingo is assigned with following data: coordinates, absolute height of pingo baseline, height of the mound, diameter of the mound, morphology of the mound, presence or absence of craters and crater lakes, presence or absence and chemical composition of springs/icings, chemical composition of springs/icings if applicable, geomorphological positioning, positioning relative to the local Holocene transgression limit, slope exposition if applicable, observed morphology dynamics, distance to the nearest glacier, presence or absence of vegetation cover, absolute or relative age of pingo formation where available, local geological strata and tectonic province, presence of confirmed or assumed fault line. The data allows to obtain statistics necessary for analizing pingos as phenomena of Svalbard. The Iidentification of pingos is based on Svalbard aerial survey high resolution images which are publicly available at Norwegian Polar Institute online Topo Svalbard DEM resource (https://toposvalbard.npolar.no, 2008-2012). High resolution satellite images covering the whole archipelago are furthermorealso available at the Zoom Earth online database (https://zoom.earth). Pingo positioning, morphology, vegetation cover, presence of craters and distance to glaciers were analyzed using Norwegian Polar Institute Topo Svalbard S0 Terrengmodel Svalbard DEM model (2014) with 2-5 m resolution and orthophoto base map (maximum cache scaling 1:625 and resolution 0.165). Absolute height measurement accuracy is in range of ±2 m. The presence of pingo springs was determined based on earlier reported data (Liestøl, 1977) with addition of pingos where icings are clearly visible on winter/spring Topo Svalbard and Zoom Earth 2018-2020 satellite images. Special information such as absolute age, drilling results, spring composition base on published data (Orvin, 1944; Liestøl, 1977; Yoshikawa and Harada, 1995, Matsuoka et. al, 2004; Hodson et. al, 2020; Demidov et al, 2019; Demidov et. al, 2020, Demidov et. al, 2021). The positioning of pingos relative to the local Holocene transgression limit was determined by comparing pingo baseline heights with the transgression isobase map of Bondevik et al. (1995) and for Grøndalen Valley with Sharin et al. (2014). Geological data is based on bedrock geology, tectonic structure and rock type maps (Geoscience atlas Atlas of Svalbard, 2019). Personal field observations and sampling took place during summer seasons 2017-2020 on pingos of Grøndalen Valley (drilling of 4 pingos) and mounds and thermokarst funnels of Hollenderdalen Valley, in April-May 2020 on pingos and icings of Berzeliusdalen, Aurdalen, Vassdalen and Reindalen, and in March 2021 in Ebbadalen and vales around Pyramiden.
DOI: 10.15468/dl.us3ghk
title: Occurrence Download

description: A dataset containing 4923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Country is one of (United States of America, Mexico, Canada)",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Prunus cerasifera Ehrh."
 ]
}

 The dataset includes 4923 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113842-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.939731
title: Windlidar data 2019 from Ny-Ålesund, Svalbard (AWIPEV)

description: Since December 2012 AWIPEV operates a commercial Wind Lidar (WindCube 200, Leosphere) on the roof of the AWIPEV observatory in Ny-Ålesund, which runs unattended and continuously. It uses the Doppler effect of an eye safe laser at 1.5 μm wavelength to measure the 3-dimensional vertically resolved wind with typically 10min temporal resolution. The resolution in altitude is 50m. Its range depends on weather conditions and can reach up to 5km. In this dataset the wind lidar data of 2019 from AWIPEV are presented, recorded for every day individually, saved in netcdf format and provided for download here.
description: The netcdf file for every day includes:- Time- Time for Matlab- Height- u, v and w component of the tropospheric wind field- absolute wind speed- wind direction
DOI: 10.1594/pangaea.940053
title: Sun Photometer Data (RAW) 2015 from Zeppelin Station, Ny-Ålesund, Svalbard (AWIPEV)

description: Voltages are measured by a sun photometer, type SP1a by Dr. Schulz & Partner GmbH in 17 wavelengths between λ = 369nm to 1023nm with a field of view of 1° × 1° and a time resolution of 1 minute. In winter 2012/13 a new sun photometer was installed and just 10 of 17 wavelengths remained in the same wavelength range. With the nine out of ten wavelengths optical parameters like the AOD are computed. The one, which is devoted to water vapor is omitted. The instrument is calibrated regularly in pristine conditions at Izaña, Tenerife, via Langley method.The number of individual measurements differs between a few hundreds, especially in March and September, to up to 12,000 in early summer. No trend in each month can be seen comparing the amount of cloud-free measurements over the years. Only an annual cycle due to polar day and night is included in the data. Due to the instrument data is only available in clear sky conditions.The raw measurement are given for the sun photometer at Zeppelin Station, operated by AWIPEV, for the time 19. March until 30. September 2015 with the instrument SP1A34.
description: This data set is only the raw data corresponding to doi:10.1594/PANGAEA.937649. No calculation, for example for AOD, is done, but can be performed by everyone with the provided data in the following way (the gauge values of every day can be found in the header):1) spectra transmission: TR = (U20/UE *KFM)^(1/M), with U20: measured voltage, UE: gauge voltage/extraterrestrial signal, KFM = solar eccentricity, M: air mass2) total AOD: tau_G = |ln(TR)|3) ozone AOD: tau_O3 = (O3_Dob * O3_Gaug) / 1000, with O3_Dob: external measurement value for total ozone concentration in column [DU], O3_Gaug: Gauge value of filter4) AOD of Rayleigh atmosphere: tau_R = P/P0 * (0.00865*λ^ex), ex = - (3.9164 + 0.074*λ + 0.05/λ), with P = 1013.25hPa, P0: pressure at measurement point [hPa], λ: wavelength of filter [µm]5) AOD of aerosol: tau_AE = tau_G - tau_R - tau_O3The used instrument for the measurement period was SP1A34. ---The data is a tar.gz file. Each measurement day contains in netcdf format the following variables:Time (minutes after midnight UTC)wavelengths ([nm], lambda)pressure [hPa]voltage [V]Header with gauge values
DOI: 10.1594/pangaea.939733
title: Raw data from UCTD (Underway CTD) during MERIAN cruise MSM93

description: The Teledyne Underway CTD was operated in tow-yo mode: the winch brake is disengaged and the probe is in approximate free-fall at 4m/s to 1m/s vertical speed collecting data for a cast. Then the brake is engaged and the probe is hauled in until it is within 10m horizontal behind the vessel at the sea surface. The winch is then disengaged and the next cast starts. A straight section is collected with the same probe in the water. At the end of the section, the probe is recovered. The data is recorded internally on the probe and only read out once the probe is back on deck. A front in the open ocean region in the vicinity of the ice edge in Fram Strait was searched for with a ~100km long constant depth Triaxus transect on July 8. When a front had been found, it was surveyed in 3D by parallel UCTD sections and drifters were deployed. The front was followed until July 16 with the repeat of parallel UCTD and Triaxus sections. During one UCTD section, an operator error resulted in the fact that the probe appeared to have been started while in fact it had not been started before deployment. In total 21 sections were occupied excluding the section where no data was recorded (station MSM93_62-1).
DOI: 10.15468/dl.kxaxhz
title: Occurrence Download

description: A dataset containing 8740 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vellozia Vand."
 ]
}

 The dataset includes 8740 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001164-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.940069
title: Sun Photometer Data (RAW) 2016 from Zeppelin Station, Ny-Ålesund, Svalbard (AWIPEV)

description: Voltages are measured by a sun photometer, type SP1a by Dr. Schulz & Partner GmbH in 17 wavelengths between λ = 369nm to 1023nm with a field of view of 1° × 1° and a time resolution of 1 minute. In winter 2012/13 a new sun photometer was installed and just 10 of 17 wavelengths remained in the same wavelength range. With the nine out of ten wavelengths optical parameters like the AOD are computed. The one, which is devoted to water vapor is omitted. The instrument is calibrated regularly in pristine conditions at Izaña, Tenerife, via Langley method.The number of individual measurements differs between a few hundreds, especially in March and September, to up to 12,000 in early summer. No trend in each month can be seen comparing the amount of cloud-free measurements over the years. Only an annual cycle due to polar day and night is included in the data. Due to the instrument data is only available in clear sky conditions.The raw measurement are given for the sun photometer at Zeppelin Station, operated by AWIPEV, for the time 8. March until 30. September 2020 with the instrument SP1A34.
description: This data set is only the raw data corresponding to doi:10.1594/PANGAEA.937675. No calculation, for example for AOD, is done, but can be performed by everyone with the provided data in the following way (the gauge values of every day can be found in the header):1) spectra transmission: TR = (U20/UE *KFM)^(1/M), with U20: measured voltage, UE: gauge voltage/extraterrestrial signal, KFM = solar eccentricity, M: air mass2) total AOD: tau_G = |ln(TR)|3) ozone AOD: tau_O3 = (O3_Dob * O3_Gaug) / 1000, with O3_Dob: external measurement value for total ozone concentration in column [DU], O3_Gaug: Gauge value of filter4) AOD of Rayleigh atmosphere: tau_R = P/P0 * (0.00865*λ^ex), ex = - (3.9164 + 0.074*λ + 0.05/λ), with P = 1013.25hPa, P0: pressure at measurement point [hPa], λ: wavelength of filter [µm]5) AOD of aerosol: tau_AE = tau_G - tau_R - tau_O3The used instrument for the measurement period was SP1A34. ---The data is a tar.gz file. Each measurement day contains in netcdf format the following variables:Time (minutes after midnight UTC)wavelengths ([nm], lambda)pressure [hPa]voltage [V]Header with gauge values
DOI: 10.15468/dl.ecek7x
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Volutaria tubiflora Sennen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0180364-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.940070
title: Sun Photometer Data (RAW) 2017 from Zeppelin Station, Ny-Ålesund, Svalbard (AWIPEV)

description: Voltages are measured by a sun photometer, type SP1a by Dr. Schulz & Partner GmbH in 17 wavelengths between λ = 369nm to 1023nm with a field of view of 1° × 1° and a time resolution of 1 minute. In winter 2012/13 a new sun photometer was installed and just 10 of 17 wavelengths remained in the same wavelength range. With the nine out of ten wavelengths optical parameters like the AOD are computed. The one, which is devoted to water vapor is omitted. The instrument is calibrated regularly in pristine conditions at Izaña, Tenerife, via Langley method.The number of individual measurements differs between a few hundreds, especially in March and September, to up to 12,000 in early summer. No trend in each month can be seen comparing the amount of cloud-free measurements over the years. Only an annual cycle due to polar day and night is included in the data. Due to the instrument data is only available in clear sky conditions.The raw measurement are given for the sun photometer at Zeppelin Station, operated by AWIPEV, for the time 7. until 30. April 2017 with the instrument SP1A33.
description: This data set is only the raw data corresponding to doi:10.1594/PANGAEA.937698. No calculation, for example for AOD, is done, but can be performed by everyone with the provided data in the following way (the gauge values of every day can be found in the header):1) spectra transmission: TR = (U20/UE *KFM)^(1/M), with U20: measured voltage, UE: gauge voltage/extraterrestrial signal, KFM = solar eccentricity, M: air mass2) total AOD: tau_G = |ln(TR)|3) ozone AOD: tau_O3 = (O3_Dob * O3_Gaug) / 1000, with O3_Dob: external measurement value for total ozone concentration in column [DU], O3_Gaug: Gauge value of filter4) AOD of Rayleigh atmosphere: tau_R = P/P0 * (0.00865*λ^ex), ex = - (3.9164 + 0.074*λ + 0.05/λ), with P = 1013.25hPa, P0: pressure at measurement point [hPa], λ: wavelength of filter [µm]5) AOD of aerosol: tau_AE = tau_G - tau_R - tau_O3The used instrument for the measurement period was SP1A34. ---The data is a tar.gz file. Each measurement day contains in netcdf format the following variables:Time (minutes after midnight UTC)wavelengths ([nm], lambda)pressure [hPa]voltage [V]Header with gauge values