cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.960410
title: Video In Situ Snowfall Sensor (VISSS) data from MOSAiC expedition with POLARSTERN on 2019-11-05

description: The VISSS is a camera system that records precipitating snow from two perspectives. Here, movies and images of falling precipitation particles are provided for MOSAiC. For more details on the VISSS sensor, see Maahn et al. (2023). The instrument was located at Met City until April 26 2020, but was moved to the P deck of Polarstern on April 30 2020 due to deteriorating sea ice conditions.
DOI: 10.1594/pangaea.960411
title: Video In Situ Snowfall Sensor (VISSS) data from MOSAiC expedition with POLARSTERN on 2019-11-02

description: The VISSS is a camera system that records precipitating snow from two perspectives. Here, movies and images of falling precipitation particles are provided for MOSAiC. For more details on the VISSS sensor, see Maahn et al. (2023). The instrument was located at Met City until April 26 2020, but was moved to the P deck of Polarstern on April 30 2020 due to deteriorating sea ice conditions.
DOI: 10.1594/pangaea.960915
title: Video In Situ Snowfall Sensor (VISSS) data from MOSAiC expedition with POLARSTERN on 2020-08-04

description: The VISSS is a camera system that records precipitating snow from two perspectives. Here, movies and images of falling precipitation particles are provided for MOSAiC. For more details on the VISSS sensor, see Maahn et al. (2023). The instrument was located at Met City until April 26 2020, but was moved to the P deck of Polarstern on April 30 2020 due to deteriorating sea ice conditions.
DOI: 10.1594/pangaea.960412
title: Video In Situ Snowfall Sensor (VISSS) data from MOSAiC expedition with POLARSTERN on 2019-11-29

description: The VISSS is a camera system that records precipitating snow from two perspectives. Here, movies and images of falling precipitation particles are provided for MOSAiC. For more details on the VISSS sensor, see Maahn et al. (2023). The instrument was located at Met City until April 26 2020, but was moved to the P deck of Polarstern on April 30 2020 due to deteriorating sea ice conditions.
DOI: 10.1594/pangaea.960916
title: Video In Situ Snowfall Sensor (VISSS) data from MOSAiC expedition with POLARSTERN on 2020-08-06

description: The VISSS is a camera system that records precipitating snow from two perspectives. Here, movies and images of falling precipitation particles are provided for MOSAiC. For more details on the VISSS sensor, see Maahn et al. (2023). The instrument was located at Met City until April 26 2020, but was moved to the P deck of Polarstern on April 30 2020 due to deteriorating sea ice conditions.
DOI: 10.1594/pangaea.960413
title: Video In Situ Snowfall Sensor (VISSS) data from MOSAiC expedition with POLARSTERN on 2019-10-30

description: The VISSS is a camera system that records precipitating snow from two perspectives. Here, movies and images of falling precipitation particles are provided for MOSAiC. For more details on the VISSS sensor, see Maahn et al. (2023). The instrument was located at Met City until April 26 2020, but was moved to the P deck of Polarstern on April 30 2020 due to deteriorating sea ice conditions.
DOI: 10.1594/pangaea.960414
title: Video In Situ Snowfall Sensor (VISSS) data from MOSAiC expedition with POLARSTERN on 2019-11-10

description: The VISSS is a camera system that records precipitating snow from two perspectives. Here, movies and images of falling precipitation particles are provided for MOSAiC. For more details on the VISSS sensor, see Maahn et al. (2023). The instrument was located at Met City until April 26 2020, but was moved to the P deck of Polarstern on April 30 2020 due to deteriorating sea ice conditions.
DOI: 10.1594/pangaea.960415
title: Video In Situ Snowfall Sensor (VISSS) data from MOSAiC expedition with POLARSTERN on 2019-12-01

description: The VISSS is a camera system that records precipitating snow from two perspectives. Here, movies and images of falling precipitation particles are provided for MOSAiC. For more details on the VISSS sensor, see Maahn et al. (2023). The instrument was located at Met City until April 26 2020, but was moved to the P deck of Polarstern on April 30 2020 due to deteriorating sea ice conditions.
DOI: 10.1594/pangaea.960416
title: Video In Situ Snowfall Sensor (VISSS) data from MOSAiC expedition with POLARSTERN on 2019-12-05

description: The VISSS is a camera system that records precipitating snow from two perspectives. Here, movies and images of falling precipitation particles are provided for MOSAiC. For more details on the VISSS sensor, see Maahn et al. (2023). The instrument was located at Met City until April 26 2020, but was moved to the P deck of Polarstern on April 30 2020 due to deteriorating sea ice conditions.
DOI: 10.1594/pangaea.960417
title: Video In Situ Snowfall Sensor (VISSS) data from MOSAiC expedition with POLARSTERN on 2019-11-08

description: The VISSS is a camera system that records precipitating snow from two perspectives. Here, movies and images of falling precipitation particles are provided for MOSAiC. For more details on the VISSS sensor, see Maahn et al. (2023). The instrument was located at Met City until April 26 2020, but was moved to the P deck of Polarstern on April 30 2020 due to deteriorating sea ice conditions.
DOI: 10.1594/pangaea.960418
title: Video In Situ Snowfall Sensor (VISSS) data from MOSAiC expedition with POLARSTERN on 2019-11-16

description: The VISSS is a camera system that records precipitating snow from two perspectives. Here, movies and images of falling precipitation particles are provided for MOSAiC. For more details on the VISSS sensor, see Maahn et al. (2023). The instrument was located at Met City until April 26 2020, but was moved to the P deck of Polarstern on April 30 2020 due to deteriorating sea ice conditions.
DOI: 10.1594/pangaea.960419
title: Video In Situ Snowfall Sensor (VISSS) data from MOSAiC expedition with POLARSTERN on 2019-11-14

description: The VISSS is a camera system that records precipitating snow from two perspectives. Here, movies and images of falling precipitation particles are provided for MOSAiC. For more details on the VISSS sensor, see Maahn et al. (2023). The instrument was located at Met City until April 26 2020, but was moved to the P deck of Polarstern on April 30 2020 due to deteriorating sea ice conditions.
DOI: 10.1594/pangaea.962208
title: Combined carbohydrates, dissolved free carbohydrates and pH in Arctic fog water sampled during PS106

description: Fog water samples were collected in the Arctic during the PS106 campaign (2017). Sampling was conducted on board the German research vessel Polarstern. These fog water samples were measured on pH, combined carbohydrates (CCHO) and dissolved free carbohydrates (DFCHO). Sampling altitude: ca. 21 m above sea level.
DOI: 10.5517/ccdc.csd.cc2hfp8x
title: CCDC 2307059: Experimental Crystal Structure Determination

description: Related Article: Chen Zhu, Jubao Zhou, Xinxin Li, Xinyu Wang, Hui Jin, Lixin Zhang|2024|Tetrahedron Lett.|135|154905|doi:10.1016/j.tetlet.2023.154905
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.1594/pangaea.962308
title: Linear Kinematic Features (leads & pressure ridges) detected and tracked in Sentinel-1 drift and deformation data during the MOSAiC expedition

description: Leads and pressure ridges are dominant features of the Arctic sea ice cover. Not only do they affect heat loss and surface drag, but also provide insight into the underlying physics of sea ice deformation. Due to their elongated shape they are referred as Linear Kinematic Features (LKFs). This data-set includes LKFs that were detected and tracked in sea ice deformation data obtained during the MOSAiC expedition from Sentinel-1 SAR data (von Albedyl & Hutter, 2023). The data-set spans the winter months between October 2019 and May 2020. A detailed description of the data-set and of the algorithms deriving it is provided in Hutter et al. (2019). We used the updated version of the algorithm for the data processing (Hutter, 2023). The dataset is closer described in Ringeisen et al. (2023).
DOI: 10.5517/ccdc.csd.cc2hh1z1
title: CCDC 2308383: Experimental Crystal Structure Determination

description: Related Article: Shravani Battula, Pranay Kothuri, Haripriya Bhumannagari, Kiranmai Nayani|2024|Org.Biomol.Chem.|22|1671|doi:10.1039/D3OB01893H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.1594/pangaea.964376
title: Average mixing profil observations in the equatorial Atlantic at 23°W for evaluating Earth system models

description: Upper-ocean turbulent mixing processes are known to play a key role in controlling the sea surface temperatures in the equatorial Atlantic. Here, a synoptic observational data set of upper-ocean turbulent mixing at the equator (+/- 1.5°) at 23°W is provided. The data set contains an average and 151 individual vertical profiles of the dissipation rate of turbulent kinetic energy from the upper water column collected during 6 cruises between 2008 and 2016. The observations were selected to best represent a seasonal average of upper-ocean turbulent mixing. Each cruise was completed in a different month of the year. More than 1/3 of the profiles were collected in March when the cold tongue is absent (cruise R/V L'Atalante IFM-GEOMAR-4, doi: 10.3289/ifm-geomar_rep_19_2008). Profiles from May (R/V Meteor M106, doi:10.2312/cr_m106) and September (RV Meteor cruise M119, doi:10.2312/cr_m119 and R/V Meteor cruise M130, doi:10.3289/CR_M130) may be considered as representing the development and mature phase of the cold tongue season and profiles from November (R/V Meteor cruise M80/1 doi:10.2312/cr_m80_1, R/V Maria S. Merian cruise 22, doi:10.2312/cr_msm22) represent the post cold tongue condition. The data set includes a mean dissipation rate profile for the stratificed ocean below the mixed layer. Prior to averaging in depth space, the depth of the mixed layer was removed from the individual pressure records. The data set is provided for evaluating vertical mixing schemes of NextGEMS and other Earth system models.
DOI: 10.1594/pangaea.962769
title: Gradistat derived properties of Hudson Strait Heinrich the &lt; 2 mm sediment fraction from sediment cores HU91020-074 and HU204024-042

description: Gradistat derived properties of Hudson Strait Heinrich the &lt; 2 mm sediment fraction from cores HU91020-074 and HU204024-042. Calcite is not removed due the presence of detrital calcite and dolomite (Andrews et al., 2023).
DOI: 10.1594/pangaea.964316
title: Tropical Instability Wave mixing, ocean background and air-sea flux observations in the equatorial Atlantic (2014-2019) for evaluating Earth system models

description: A synoptic observational data set of Tropical Instability Wave (TIW) mixing events and associated heat and momentum fluxes as well as oceanic and atmospheric background parameters is provided. The data set focuses on the vertical distribution of upper-ocean turbulence during 12 elevated TIW events observed in tropical Atlantic at the equator at 23°W than occurred between 2014 and 2019. TIW events were selected based on a peak to peak meridional velocity magnitude criterium of larger than 0.4 m/s having time periods between 18 and 50 days and the availability of ocean turbulence data time series. A TIW composite of the 12 events was determined by scaling the time axis of northward and southward TIW phases of individual waves to the average wave period. The dataset includes time series (daily means) of turbulent dissipation rates (chi-pot measurements, https://doi.org/10.1029/2021GL097345), upper-ocean zonal and meridional currents from moored acoustic Doppler current profilers, upper-ocean temperature and salinity profile time series, 4-meter wind speeds and relative humidity, shortwave radiation, longwave radiation, sensible, latent and net surface heat fluxes from ePIRATA (https://doi.org/10.1175/JCLI-D-16-0816.1). These parameters are available for the composite event as well as for each of the 12 individual TIW events. The data set is provided for evaluating vertical mixing schemes of Earth system models and general ocean circulation models.
description: TIW_composite is a composite Tropical Instability Wave event that was calculated from all individual Tropical Instability Waves (TIW_1 through TIW_12)
DOI: 10.1594/pangaea.964808
title: Mooring-based (YS06) data collected in the period May-June 2014 in Young Sound, Greenland

description: Time series of currents were obtained in the period May- June 2014 by use of an ice-tethered mooring in Young Sound, Greenland. At YS06 (74.245o N, 20.229o W) the mooring consisted of a 600 kHz downward-looking Nortek Aquadopp ADCP. Velocities were corrected for magnetic deviation (18.5o). The water column sampling spanned between 1.5 and 30 m depth every 30 min. The ADCP was set to sample 80 bins (bin size of 0.5 m) and each bin consisted of a 1 min ensamble average of 60 pings. The first and last bins were centred at 1m and 41 m depth. Only bins between 2.5 and 30 m were adequately measured. For further details see Boone et al., 2017 (Circulation and fjord-shelf exchange during the ice-covered period in Young Sound-Tyrolerfjord, Northwest Greenland (74o N). Estuar. Coast. Shelf Sci., 15, 194-205. https://doi.org/10.1016/j.ecss.2017.06.021).
description: We gratefully acknowledge the contributions of the Canada Excellence Research Chair (CERC) and Canada Research Chair (CRC) programs. Support was also provided by the Natural Sciences and Engineering Research (NSERC) Council, the Canada Foundation for Innovation and the Aage V Jensen Foundations. This work is a contribution to the Arctic Science Partnership (ASP) asp-net.org.
DOI: 10.1594/pangaea.964812
title: Mooring-based (YS02) data collected in the period October 2013-June 2014 in Young Sound, Greenland

description: Time series of currents were obtained in the period October 2013 and May 2014 by use of an ice-tethered mooring in Young Sound, Greenland. At YS02 (74.267o N, 20.248o W) the mooring consisted of a 300 kHz downward-looking Teledyne RDI Workhorse Sentinel acoustic Doppler current profiler (ADCP) measuring horizontal and vertical current velocities. Velocity precision and resolution were ±1% and ±5 cm s-1, respectively, while compass accuracy and resolution were ±2 and 0.1 degrees. The ADCP was set to sample 39 bins (bin size of 2m), where each 10 min sample consists of averages of 20 pings. The first and last bins were set at 6 and 84 m depth. Velocities were corrected for magnetic deviation (18.5 degrees) and samples with insufficient acoustic backscatter in the water column were eliminated with the RDI ADCP software. For further details see Boone et al., 2017 (Circulation and fjord-shelf exchange during the ice-covered period in Young Sound-Tyrolerfjord, Northwest Greenland (74o N). Estuar. Coast. Shelf Sci., 15, 194-205. https://doi.org/10.1016/j.ecss.2017.06.021).
description: We gratefully acknowledge the contributions of the Canada Excellence Research Chair (CERC) and Canada Research Chair (CRC) programs. Support was also provided by the Natural Sciences and Engineering Research (NSERC) Council, the Canada Foundation for Innovation and the Aage V Jensen Foundations. This work is a contribution to the Arctic Science Partnership (ASP) asp-net.org.
DOI: 10.25582/data.2022-09.2606965/1942374
title: Data for EMSL Project 51131 from September 2022
DOI: 10.6084/m9.figshare.25263628.v1
title: Phage-encoded MTases and REases

description: Phage-encoded MTases and REases from CHGV, GPD, and MGV
DOI: 10.6084/m9.figshare.25263628
title: Phage-encoded MTases and REases

description: Phage-encoded MTases and REases from CHGV, GPD, and MGV
DOI: 10.25550/4y-4sk4
title: COHRA2: Factors Contributing to Oral Health Disparities in Appalachia
DOI: 10.5886/d1pcef
title: First Canadian bee species records (Hymenoptera: Apiformes) collected from tallgrass prairie and oak savanna in southern Ontario, Canada

description: Documentation of first occurrence records in Ontario/Canada for seven bee species, all recorded from remnant, restored or reclaimed tallgrass prairie and oak savanna habitat. These records are discussed in the associated note: Sharkey, J., Paiero, S.M., and Raine, N.E. 2024. Documenting first Canadian bee species records (Hymenoptera: Apiformes) collected from tallgrass prairie and oak savanna in southern Ontario, Canada. The Journal of the Entomological Society of Ontario (in review).
DOI: 10.15468/y2khs6
title: Spiders, Denmark (private collection of Jørgen Lissner)

description: This dataset contains data for spiders collected in Denmark. All specimens are stored in 70 % alcohol. The collection will be deposited at NHMD at some point in the future.
DOI: 10.15468/xytdgd
title: Pseudoscorpions, Denmark (private collection of Jørgen Lissner)

description: This dataset contains Pseudoscorpion data of specimens collected in Denmark. All specimens are stored in 70 % alcohol. The collection will be deposited at NHMD at some point in the future.
DOI: 10.25582/data.2023-02.2746251/1950493
title: Data for EMSL Project 51588 from February 2023
DOI: 10.5281/zenodo.10690479
title: [DATASET] Identification and Testing of Cytotoxic Activity of Bioactive Compounds of Berunok Sea Cucumber (Paracaudina australis) Against Breast Cancer Cells (T47D)

description: Sea cucumbers can be explored as alternative raw materials by the pharmaceutical and fishery industries as anticancer agents because they contain potential bioactive compounds. This study aimed to determine the anticancer activity of  Paracaudina australis extract against breast cancer cells (T47D) using an MTT assay. The secondary metabolites found in P.australis are steroids, terpenoids, saponins, and phenolics. The Thin-Layer Chromatography test results are indicated by Rf values, and steroid compounds in the ethyl acetate fraction are included in the standard Rf values. The isolates obtained were identified by GC-MS, FTIR, HPLC, and UV-V is spectrophotometry. The isolated compounds were Dihydrocholesterol and Cholestan-3-ol, with a molecular formula (C27H48O). The ion weight and molecular mass of the compound were m/z 388,7. This compound may be responsible for the anticancer activity of P.australis. The IC50 of Isolate F4 was 25,3 μg/ml, and IC50 of Isolate F7,8 was 13,76 μg/ml.
DOI: 10.5281/zenodo.10690480
title: [DATASET] Identification and Testing of Cytotoxic Activity of Bioactive Compounds of Berunok Sea Cucumber (Paracaudina australis) Against Breast Cancer Cells (T47D)

description: Sea cucumbers can be explored as alternative raw materials by the pharmaceutical and fishery industries as anticancer agents because they contain potential bioactive compounds. This study aimed to determine the anticancer activity of  Paracaudina australis extract against breast cancer cells (T47D) using an MTT assay. The secondary metabolites found in P.australis are steroids, terpenoids, saponins, and phenolics. The Thin-Layer Chromatography test results are indicated by Rf values, and steroid compounds in the ethyl acetate fraction are included in the standard Rf values. The isolates obtained were identified by GC-MS, FTIR, HPLC, and UV-V is spectrophotometry. The isolated compounds were Dihydrocholesterol and Cholestan-3-ol, with a molecular formula (C27H48O). The ion weight and molecular mass of the compound were m/z 388,7. This compound may be responsible for the anticancer activity of P.australis. The IC50 of Isolate F4 was 25,3 μg/ml, and IC50 of Isolate F7,8 was 13,76 μg/ml.
DOI: 10.25582/data.2023-02.2747058/1957257
title: Data for EMSL Project 51671 from February 2023
DOI: 10.25582/data.2023-02.2747074/1957259
title: Data for EMSL Project 51671 from February 2023
DOI: 10.25582/data.2023-02.2746977/1957261
title: Data for EMSL Project 49833 from February 2023
DOI: 10.25582/data.2023-02.2747087/1957262
title: Data for EMSL Project 50587 from February 2023
DOI: 10.25582/data.2023-02.2747021/1957263
title: Data for EMSL Project 50587 from February 2023
DOI: 10.25582/data.2023-02.2746981/1957264
title: Data for EMSL Project 50587 from February 2023
DOI: 10.25582/data.2023-02.2747022/1957265
title: Data for EMSL Project 50587 from February 2023
DOI: 10.25582/data.2023-02.2747013/1957266
title: Data for EMSL Project 50587 from February 2023
DOI: 10.25582/data.2023-02.2747059/1957271
title: Data for EMSL Project 50587 from February 2023
DOI: 10.25582/data.2023-02.2747020/1957273
title: Data for EMSL Project 50587 from February 2023
DOI: 10.25582/data.2023-02.2747010/1957275
title: Data for EMSL Project 50587 from February 2023
DOI: 10.25582/data.2023-02.2747009/1957277
title: Data for EMSL Project 50587 from February 2023
DOI: 10.25582/data.2023-02.2747030/1957282
title: Data for EMSL Project 50596 from February 2023
DOI: 10.25582/data.2023-02.2747024/1957284
title: Data for EMSL Project 50596 from February 2023
DOI: 10.25582/data.2023-02.2747057/1957285
title: Data for EMSL Project 50604 from February 2023
DOI: 10.25582/data.2023-02.2747056/1957293
title: Data for EMSL Project 50604 from February 2023
DOI: 10.25582/data.2023-02.2746994/1957294
title: Data for EMSL Project 50427 from February 2023
DOI: 10.25582/data.2023-02.2746996/1957295
title: Data for EMSL Project 50427 from February 2023
DOI: 10.25582/data.2023-02.2747054/1957296
title: Data for EMSL Project 50427 from February 2023
DOI: 10.25582/data.2023-02.2747016/1957297
title: Data for EMSL Project 50427 from February 2023
DOI: 10.25582/data.2023-02.2746995/1957298
title: Data for EMSL Project 50427 from February 2023
DOI: 10.25582/data.2023-02.2747004/1957299
title: Data for EMSL Project 51227 from February 2023
DOI: 10.25582/data.2023-02.2747077/1957302
title: Data for EMSL Project 50407 from February 2023
DOI: 10.25582/data.2023-02.2747038/1957303
title: Data for EMSL Project 50616 from February 2023
DOI: 10.25582/data.2023-02.2747037/1957304
title: Data for EMSL Project 50616 from February 2023
DOI: 10.25582/data.2023-02.2747043/1957308
title: Data for EMSL Project 49960 from February 2023
DOI: 10.25582/data.2023-02.2747041/1957310
title: Data for EMSL Project 49960 from February 2023
DOI: 10.25582/data.2023-02.2747000/1957313
title: Data for EMSL Project 50668 from February 2023
DOI: 10.25582/data.2023-02.2747036/1957316
title: Data for EMSL Project 49495 from February 2023
DOI: 10.25582/data.2023-02.2747007/1957317
title: Data for EMSL Project 49495 from February 2023
DOI: 10.25582/data.2023-02.2747065/1957318
title: Data for EMSL Project 50193 from February 2023
DOI: 10.25582/data.2023-02.2747060/1957320
title: Data for EMSL Project 50193 from February 2023
DOI: 10.25582/data.2023-02.2747002/1957327
title: Data for EMSL Project 50077 from February 2023
DOI: 10.25582/data.2023-02.2747071/1957328
title: Data for EMSL Project 50953 from February 2023
DOI: 10.25582/data.2023-02.2747286/1957330
title: Data for EMSL Project 49529 from February 2023
DOI: 10.25582/data.2023-02.2747295/1957331
title: Data for EMSL Project 49833 from February 2023
DOI: 10.25582/data.2023-02.2747303/1957333
title: Data for EMSL Project 50616 from February 2023
DOI: 10.25582/data.2023-02.2747385/1957347
title: Data for EMSL Project 50604 from February 2023
DOI: 10.25582/data.2023-02.2747373/1957348
title: Data for EMSL Project 50604 from February 2023
DOI: 10.25582/data.2023-02.2747374/1957350
title: Data for EMSL Project 50604 from February 2023
DOI: 10.25582/data.2023-02.2747416/1957351
title: Data for EMSL Project 50604 from February 2023
DOI: 10.25582/data.2023-02.2747369/1957352
title: Data for EMSL Project 50604 from February 2023