cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2019-09.1851153/2309489
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1852969/2309490
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1851193/2309492
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1854026/2309494
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1851435/2309497
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1851133/2309498
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1851280/2309501
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1852947/2309502
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1853224/2309503
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1853478/2309504
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1852971/2309505
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1854175/2309507
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1851245/2309508
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1853809/2309509
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1852684/2309512
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1852961/2309513
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1854062/2309516
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1854021/2309517
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1854056/2309522
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1852672/2309523
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1852928/2309525
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1853473/2309526
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1851167/2309527
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1853718/2309528
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1853839/2309531
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1852956/2309533
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1851279/2309537
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1853740/2309538
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1852701/2309543
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1851349/2309551
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1851461/2309560
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1852963/2309561
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1854116/2309570
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1853716/2309571
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1854146/2309574
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1851205/2309582
title: Data for EMSL Project 50931 from September 2019
DOI: 10.5281/zenodo.10695146
title: Viola prionantha smallRNA sequencing analysis
DOI: 10.5281/zenodo.10695147
title: Viola prionantha smallRNA sequencing analysis
DOI: 10.25582/data.2019-09.1853728/2309599
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1852685/2309601
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1853730/2309607
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1851163/2309609
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1854063/2309610
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1851259/2309611
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1854115/2309612
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1854087/2309617
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1854046/2309618
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1851199/2309619
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1852957/2309620
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1854171/2309622
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1853723/2309624
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1851275/2309626
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1852950/2309629
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1852940/2309631
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1853900/2309633
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1852923/2309637
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1853355/2309639
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1854109/2309641
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1854058/2309648
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1854025/2309649
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1853727/2309650
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2019-09.1851295/2309654
title: Data for EMSL Project 50931 from September 2019
DOI: 10.25582/data.2023-02.2746204/2309661
title: Data for EMSL Project 51597 from February 2023
DOI: 10.25582/data.2023-02.2746799/2309663
title: Data for EMSL Project 51127 from February 2023
DOI: 10.25582/data.2023-02.2746237/2309665
title: Data for EMSL Project 51127 from February 2023
DOI: 10.25582/data.2023-02.2746800/2309666
title: Data for EMSL Project 51127 from February 2023
DOI: 10.25582/data.2023-02.2746239/2309667
title: Data for EMSL Project 51127 from February 2023
DOI: 10.6084/m9.figshare.25271140
title: LC-MS/MS spectrometry analysis of PLCE1.

description: Protein pulldown was performed using a previously reported method (17). Briefly, HEK293 cells were transfected with a plasmid expressing PLCE1-Myc or TAK1. 24 h post-transfection, cells were harvested for preparing total cell lysates, which was then subjected to protein pulldown assay using the Myc-Tag beads (Sepharose® Bead Conjugate; #55464; CST, Beverley, MA, USA). After 4 h-incubation on a rotator, unbound proteins were removed using the ice-cold wash buffer. Finally, the resulting immunocomplex was subjected to LC-MS/MS spectrometry analysis (Shanghai Applied Protein Technology Co., Ltd.). MS/MS spectra were searched using MASCOT engine (Matrix Science, London, UK; version 2.4) against the UniProKB human (161584 total entries, downloaded 20180105).
DOI: 10.25582/data.2023-02.2746240/2309668
title: Data for EMSL Project 51127 from February 2023
DOI: 10.6084/m9.figshare.25270276
title: AgingMouseBrain

description: UCSC track hub
DOI: 10.6084/m9.figshare.25270276.v6
title: AgingMouseBrain

description: UCSC track hub
DOI: 10.25582/data.2023-02.2746798/2309669
title: Data for EMSL Project 51127 from February 2023
DOI: 10.6084/m9.figshare.25270276.v5
title: AgingMouseBrain

description: UCSC track hub
DOI: 10.25582/data.2023-02.2746777/2309673
title: Data for EMSL Project 51609 from February 2023
DOI: 10.25582/data.2023-02.2746735/2309674
title: Data for EMSL Project 50291 from February 2023
DOI: 10.25582/data.2023-02.2746174/2309675
title: Data for EMSL Project 50291 from February 2023
DOI: 10.25582/data.2023-02.2746806/2309677
title: Data for EMSL Project 51514 from February 2023
DOI: 10.14461/oncat.data/2309690
title: INS spectra of NH3 and ND3 obtained at SEQUOIA spectrometer

description: These INS data were measured at SEQUOIA spectrometer. The samples used were NH3 and ND3, and empty container (background runs). The measurements were done with incident neutron energies Ei=30, 50, 85, 280 and 700 meV at T=5K, 50K, 100K, 180K, 200K for NH3 sample, and with Ei=30, 70, 200, 500 meV at T=5K, 50K, 100K, 180K, 200K and 230K for ND3.
DOI: 10.1594/pangaea.842697
title: X-ray fluorescence on sediment core PG2135-1 (raw data from XRF-core scanner)
DOI: 10.1594/pangaea.962516
title: Temperature before the heating cycle from the sea ice mass balance buoy DTC55 during MOSAiC 2019/2020

description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC55 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 26 August 2020. The thermistor chain was 5.12 m long and included sensors with a regular spacing of 2 cm. The initial ice thickness was 1.14 m, the snow thickness was 0.03 m, and the pond depth was 0.17 m. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 26 August 2020 and 20 September 2020 in sample intervals of 6 hours. It also contains manually estimated positions of air-snow, snow-ice, and ice-water interfaces. The DTC was installed in the undeformed second/multiyear ice next to the Met City and the ice mass balance buoy 2020T84: doi:10.1594/PANGAEA.958397.
description: Temperature after the cooling cycle and temperature before the heating cycle both represent in situ temperature. The temperature before the heating cycle may contain errors in measurements and is provided for reference. It is recommended to use temperature after the cooling cycle and temperature difference after the heating cycle for further analysis.
DOI: 10.1594/pangaea.962517
title: Temperature after the cooling cycle from the sea ice mass balance buoy DTC55 during MOSAiC 2019/2020

description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC55 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 26 August 2020. The thermistor chain was 5.12 m long and included sensors with a regular spacing of 2 cm. The initial ice thickness was 1.14 m, the snow thickness was 0.03 m, and the pond depth was 0.17 m. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 26 August 2020 and 20 September 2020 in sample intervals of 6 hours. It also contains manually estimated positions of air-snow, snow-ice, and ice-water interfaces. The DTC was installed in the undeformed second/multiyear ice next to the Met City and the ice mass balance buoy 2020T84: doi:10.1594/PANGAEA.958397.
description: Temperature after the cooling cycle and temperature before the heating cycle both represent in situ temperature. The temperature before the heating cycle may contain errors in measurements and is provided for reference. It is recommended to use temperature after the cooling cycle and temperature difference after the heating cycle for further analysis.
DOI: 10.1594/pangaea.962518
title: Temperature difference after the heating cycle from the sea ice mass balance buoy DTC55 during MOSAiC 2019/2020

description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC55 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 26 August 2020. The thermistor chain was 5.12 m long and included sensors with a regular spacing of 2 cm. The initial ice thickness was 1.14 m, the snow thickness was 0.03 m, and the pond depth was 0.17 m. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 26 August 2020 and 20 September 2020 in sample intervals of 6 hours. It also contains manually estimated positions of air-snow, snow-ice, and ice-water interfaces. The DTC was installed in the undeformed second/multiyear ice next to the Met City and the ice mass balance buoy 2020T84: doi:10.1594/PANGAEA.958397.
description: Temperature after the cooling cycle and temperature before the heating cycle both represent in situ temperature. The temperature before the heating cycle may contain errors in measurements and is provided for reference. It is recommended to use temperature after the cooling cycle and temperature difference after the heating cycle for further analysis.
DOI: 10.1594/pangaea.951777
title: Temperature measurements from the sea ice mass balance buoy DTC 26: 20 s after the heating cycle

description: Temperature and heating-induced temperature were measured along a chain of thermistors. DTC 26 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the 2nd leg of the MOSAiC expedition in February 2020. The thermistor chain was 7.34 m long and included 368 sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 14 February 2020 and 24 July 2020 in sample intervals of 6 hours. The investigated first-year ice ridge known as Alli's ridge was formed on 7-9.01.2020 between second-year ice, 0.9-1.0 m thick first-year ice and lead ice mainly from lead ice of 0.2-0.4 m thick blocks. The buoy was installed 20 m from the ridge crest towards the first-year level ice. Ice mass balance SIMBA 2020T61 was installed at the ridge crest: https://doi.org/10.1594/PANGAEA.926580.This dataset represents the temperature of sea ice after 20 s of internal heating. It contains time (1), latitude (2), longitude (3), and temperature measurements in [°C] from 368 sensors (4-371) starting from the top with a 2 cm vertical resolution.
DOI: 10.1594/pangaea.951778
title: Temperature measurements from the sea ice mass balance buoy DTC 26: 60 s after the heating cycle

description: Temperature and heating-induced temperature were measured along a chain of thermistors. DTC 26 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the 2nd leg of the MOSAiC expedition in February 2020. The thermistor chain was 7.34 m long and included 368 sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 14 February 2020 and 24 July 2020 in sample intervals of 6 hours. The investigated first-year ice ridge known as Alli's ridge was formed on 7-9.01.2020 between second-year ice, 0.9-1.0 m thick first-year ice and lead ice mainly from lead ice of 0.2-0.4 m thick blocks. The buoy was installed 20 m from the ridge crest towards the first-year level ice. Ice mass balance SIMBA 2020T61 was installed at the ridge crest: https://doi.org/10.1594/PANGAEA.926580.This dataset represents the temperature of sea ice 40 s after the 20 s cycle of internal heating or in-situ temperature. The file contains time (1), latitude (2), longitude (3), and temperature measurements in [°C] from 368 sensors (4-371) starting from the top with a 2 cm vertical resolution.
DOI: 10.25582/data.2023-02.2747112/2309852
title: Data for EMSL Project 51287 from February 2023
DOI: 10.1594/pangaea.955619
title: Glacier mass balance Jamtalferner, Silvretta, Austria, 2021/2022

description: The glacier mass balance of Jamtalferner has been measured annually since 1988/1989 with the direct/glaciological method. Winter mass balance has been determined for 1 May in all years. The mass balance records are complemented by precipitation measurements at a gauge close to the glacier tongue and climate data recorded at the village of Galtür. The project is supported by the Federal Government of Tyrol. Research results are also provided within the Environmental Education Centre Jamtal (http://www.umweltbildung-jamtal.info/). Jamtalferner is a LTER site and part of WMO's Global Crosphere Watch watch program as well as a WGMS benchmark glacier.
DOI: 10.1594/pangaea.955620
title: Elevation zones Jamtalferner, Silvretta, Austria, 2021/2022

description: The glacier mass balance of Jamtalferner has been measured annually since 1988/1989 with the direct/glaciological method. Winter mass balance has been determined for 1 May in all years. The mass balance records are complemented by precipitation measurements at a gauge close to the glacier tongue and climate data recorded at the village of Galtür. The project is supported by the Federal Government of Tyrol. Research results are also provided within the Environmental Education Centre Jamtal (http://www.umweltbildung-jamtal.info/). Jamtalferner is a LTER site and part of WMO's Global Crosphere Watch watch program as well as a WGMS benchmark glacier.
DOI: 10.1594/pangaea.955623
title: Glacier mass balance Mullwitzkees, Hohe Tauern, Austria, 2021/2022

description: The annual glacier mass balance of Mullwitzkees in Hohe Tauern is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Hydrographischer Dienst der Abteilung Wasserwirtschaft des Amtes der Tiroler Landesregierung and National Park Hohe Tauern. The measurements are carried out by the Institute of Interdisciplinary Mountain Research of the Austrian Academy of Sciences.
DOI: 10.1594/pangaea.955625
title: Elevation zones Mullwitzkees, Hohe Tauern, Austria, 2021/2022

description: The annual glacier mass balance of Mullwitzkees in Hohe Tauern is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Hydrographischer Dienst der Abteilung Wasserwirtschaft des Amtes der Tiroler Landesregierung and National Park Hohe Tauern. The measurements are carried out by the Institute of Interdisciplinary Mountain Research of the Austrian Academy of Sciences.
DOI: 10.25582/data.2023-02.2747390/2309854
title: Data for EMSL Project 51287 from February 2023
DOI: 10.1594/pangaea.955654
title: Glacier mass balance Hallstätter Gletscher, Dachstein, Austria, 2021/2022

description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
DOI: 10.1594/pangaea.955656
title: Elevation zones Hallstätter Gletscher, Dachstein, Austria, 2021/2022

description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
DOI: 10.25582/data.2023-02.2746900/2309856
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2746938/2309858
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2748082/2309859
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2747489/2309861
title: Data for EMSL Project 51287 from February 2023
DOI: 10.1594/pangaea.936109
title: Glacier inventory Austrian Silvretta 2017/2018

description: The glacier inventory data set includes shape files of glacier margins for the Austrian Silvretta for the year 2017 (Vorarlberg) and 2018 (Tyrol). The glacier outlines were delineated manually based on older Austrian glacier inventories and high resolution LiDAR data acquired by the Federal Administrations of Tyrol and Vorarlberg. The 46 glaciers of the Austrian Silvretta cover 13.1±0.4 km² in 2017/18, which is only 32±2% of their LIA extent of 40.9±4.1 km². Since the last inventory in 2006, three glaciers were gone.
DOI: 10.25582/data.2023-02.2746901/2309862
title: Data for EMSL Project 51287 from February 2023