cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.911475
title: Ice Thickness from Jutulstraumen Glacier recorded with the airborne AWI UWB radar system, Antarctica

description: Focus of this project was to map the disturbances of the radar stratigraphy at the shear margins of the Jutulstraumen, a large outlet glacier in Dronning Maud Land (DML), Antarctica, as well as within its main trunk. This project will help to improve our understanding of the formation processes of such disturbances around shear margins in active ice streams. A better understanding of the process itself will enable to analyse the observed structures in other parts of the ice sheets in terms of their deformation history. For JuRaS the profiles consist of parallel lines directed perpendicular to the flow direction of the main trunk of the Jutulstraumen, as well as profiles across an eastern tributary. Due to our fueling stop in Kohnen Station we were also able to collect a connecting radar line between the location of the EDML ice core to our main survey area, which is useful for referencing and dating reflections in our data and making connections to survey flights conducted in the 1990s, 2000s and later.
description: AWI Flight Campaign: P6-215_UWB_2018Project: JuRaS-2018Region: Antarctica, Dronning Maud Land, Jutulstraumen Ice Stream-Owner / PI: Daniela Jansen (AWI)Email address of the provider:steven.franke@awi.dedaniela.jansen@awi.de-Instrument used: AWI UWB (MCoRDS 5)Firn correction: none appliedVelocity profile: dielectric constant of 3.15 ( c = 1.68914e8 m/s )-Ice Thickness uncertainty:is the RMS of the the sum of the crossover mean of 62 intersections (= 24.7 m)and the error of the dielectric (1%).sqrt( (crossover_mean)^2 + ( (-ice_thickness/2) * 0.01 )^2 )-GPS data was acquired by four NovAtel DL-V3 GPS receivers operating at 20Hz -Level of focusing:focused SAR
DOI: 10.1594/pangaea.905997
title: Ice thickness, surface-, and bed elevation of a pinning point in Roi Baudouin Ice Shelf, Dronning Maud Land Antarctica

description: This dataset describes ice thickness, surface elevation and bed elevation of a small pinning point located at the ice-shelf front of the Roi Baudouin Ice Shelf, Dronning Maud Land, Antarctica. The scientific context is as follows: Antarctic ice shelves are buttressed by numerous pinning points attaching to the otherwise freely-floating ice from below. Some of these kilometric-scale grounded features are unresolved in Antarctic-wide datasets of ice thickness and bathymetry, hampering ice flow models to fully capture dynamics at the grounding line and upstream. We investigate the role of an 8.7 km2 pinning point at the front of the Roi Baudouin Ice Shelf, East Antarctica. Using ERS interferometry and ALOS-PALSAR speckle tracking, we derive, on a 125 m grid spacing, surface velocities deviating by −5.2 ± 4.5 m a−1 from 37 on-site global navigation satellite systems-derived velocities. We find no evidence for ice flow changes on decadal time scales and we show that ice on the pinning point virtually stagnates, deviating the ice stream and causing enhanced horizontal shearing upstream. Using the BISICLES ice-flow model, we invert for basal friction and ice rigidity with three input scenarios of ice velocity and geometry. We show that inversion results are the most sensitive to the presence/absence of the pinning point in the bathymetry; surface velocities at the pinning point are of secondary importance. Undersampling of pinning points results in erroneous ice-shelf properties in models initialised by control methods. This may impact prognostic modelling for ice-sheet evolution in the case of unpinning.
description: Radar thickness/bed measurements use wave speed of 1.68e8 m/s; Firn correction appliedData reference and details on processing in: Drews, 2015 (doi:10.5194/tc-9-1169-2015).
description: Supplement to: Berger, Sophie; Favier, Lionel; Drews, Reinhard; Derwael, Jean-Jacques; Pattyn, Frank (2016): The control of an uncharted pinning point on the flow of an Antarctic ice shelf. Journal of Glaciology, 62(231), 37-45
DOI: 10.15468/dl.vk5jej
title: Occurrence Download

description: A dataset containing 3308 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tetragonurus cuvieri Risso, 1810"
 ]
}

 The dataset includes 3308 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079709-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.938357
title: GEA IV 2013-15 radar ice thickness in eastern Dronning Maud Land

description: Ice thickness from radar data over eastern Dronning Maud Land, with geographical coordinates and dates of acquisition in 2013, 2014, and 2015. Airborne acquisition was completed with aircraft POLAR 6 as part of the GEA collaborative project between the Federal Institute for Geosciences and Natural Resources and Alfred Wegener Institute.
DOI: 10.15468/dl.y8gsg5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Dolichoiulus altitenerife Enghoff, 1992",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079710-240626123714530/datasets/export for details.
DOI: 10.1594/pangaea.913193
title: Ice thickness from the northern catchment region of Greenland's 79 North Glacier, recorded with the airborne AWI UWB radar system

description: Ice thickness from the northern catchment region of Greenland's 79 North Glacier, recorded with the airborne AWI UWB radar system-AWI Flight Campaign: P6-211_RESURV79_2018Region: North East GreenlandOwner/PI: Daniela Jansen (AWI)-Email address of the provider:daniela.jansen@awi.desteven.franke@awi.de-Instrument used: AWI UWB (MCoRDS 5)Firn correction: none appliedVelocity profile: dielectric constant of 3.15 ( c = 1.68914e8 m/s )Ice Thickness uncertainty:is the RMS of the the sum of the crossover mean of 29intersections (= 11.2 m) and the error of the dielectric (1%). sqrt( (crossover_mean)^2 + ( (-ice_thickness/2) * 0.01 )^2 )-Method of navigation :GPS data was acquired by four NovAtel DL-V3 GPS receivers operating at 20Hz-Level of focusing:focused SAR
DOI: 10.6084/m9.figshare.26816470
title: Supplementary Material for: Association of molar incisor hypomineralization with hypomineralized second primary molars: an updated systematic review with a meta-analysis and trial sequential analysis

description: Introduction: There is a correlation between molar incisor hypomineralization (MIH) and hypomineralized second primary molars (HSPM), but this relationship has not been definitively confirmed. The purpose of this systematic review and meta-analysis was to reevaluate whether children with HSPM are more affected by MIH than non-HSPM children. 
Methods: A systematic search was conducted in four databases (PubMed, Embase, Web of Science and the Cochrane Library) for literature, published up to December 2022. Two independent reviewers conducted the study search and screening, quality assessment, and data extraction according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. The risk of bias assessment of all included cohort studies and case-control studies were assessed by the Newcastle-Ottawa Scale (NOS), and cross-sectional studies were assessed using the Agency for Healthcare Research Quality (AHRQ) scale. RevMan 5.4 software was used for all data analyses, with odds ratios (ORs) and 95% confidence intervals (CIs) as the effect measures. Sensitivity and subgroup analyses were conducted to identify the potential sources of heterogeneity among the studies. Publication bias was tested and corrected by funnel plots and Egger’s test. Trial sequential analysis (TSA) was performed using TSA 0.9.5.10 Beta software to control for type-1 and type-2 errors.
Results: A total of 12 studies involving 8,944 children were included in this meta-analysis. Compared with the non-HSPM group, the HSPM group had an increased likelihood of MIH (OR = 10.90, 95% CI = 4.59-25.89, P &lt;0.05). All the included studies were of moderate-to-high quality. TSA and sensitivity analyses suggested the robustness of this outcome.
Conclusion: This systematic review demonstrated a certain correlation between HSPM and MIH, suggesting that HSPM can play a predictive role in the occurrence of MIH. Further high-quality, multicenter and large-sample longitudinal studies are highly recommended.
DOI: 10.1594/pangaea.957061
title: Ice Thickness from western Dronning Maud Land (Antarctica) recorded with the airborne AWI EMR radar system in 2000/2001
DOI: 10.1594/pangaea.957063
title: Ice Thickness from western Dronning Maud Land, Jutulstraumen drainage basin (Antarctica) recorded with the airborne AWI EMR radar system in 2001/2002
DOI: 10.1594/pangaea.933286
title: Snow and ice thickness measurements from Terrestrial Laser Scanning, Magnaprobe and GEM-2 on ice stations PS81/503, PS81/506 and PS81/517 from Weddell Sea, Antarctica, 2013 - links to original files

description: Spatial snow and ice thickness measurements from ice stations PS81/503, PS81/506 and PS81/517 from Research Vessel Polarstern in the Antarctic Weddell Sea in austral winter 2013 (cruise leg ANT-XXIX/6, AWECS campaign). Terrestrial laser scanning (TLS) was used to determine the snow surface height above sea level for an approximately 50x50m patch. The reference to sea level was obtained using registration targets drilled through the ice with a measured distance between the target and the water level in the drill holes. Magnaprobe measures snow depth (Sturm et al., 2018) and the GEM-2 instrument measures the combined snow and ice thickness (Hunkeler et al., 2016). Magnaprobe and GEM-2 was performed inside the laser scan field after all scans had been acquired. Additionally floe-scale walks were performed using Magnaprobe and GEM-2 to capture variability on a larger scale than the laser scan field. Further information can be found in Wever et al. (2021).
DOI: 10.1594/pangaea.933569
title: MagnaProbe snow depth within the laser scanning area on station PS81/506_GPS1

description: In a designated area, snow depth was determined from Magnaprobe (MP), see Sturm and Holmgren (2018) for details.. Magnaprobe was performed inside the laser scan field after all scans had been acquired.
DOI: 10.1594/pangaea.963555
title: Ice Thickness from downstream of the EastGRIP ice core site, North East Greenland Ice Stream, recorded with the airborne AWI UWB radar system

description: This project aims to acquire airborne data with AWI's UWB (ultrawideband) ice-penetrating radar to extend the knowledge of detailed subglacial topography downstream of the EastGRIP ice core site, following on from a previous UWB radar survey in 2018. The ice thickness data also opportunistically includes profiles that were flown in different survey modes, both upstream and surrounding EastGRIP. The majority of profiles are oriented parallel or perpendicular to ice flow direction.
description: AWI Flight Campaign: P5-233_NEGIS_2022Project: EGRIP-NOR-2022Region: Greenland, North East Greenland Ice StreamOwner / PI: Olaf Eisen (AWI)-Email address of the provider:olaf.eisen@awi.decharlotte.carter@awi.de-Instrument used: AWI UWB (MCorRDS 5)Firn correction: None appliedVelocity profile: dielectric constant of 3.15 ( c = 1.68914e8 m/s )Ice thickness uncertainty:Calculated as the RMS of the the sum of the crossover mean of 3639 intersections (12.23 m)and the error of the dielectric constant (1%).sqrt( (crossover_mean)^2 + ( (-ice_thickness/2) * 0.01 )^2 )-Method of navigation : GPS data was acquired by four NovAtel DL-V3 GPS receivers operating at 20Hz
DOI: 10.1594/pangaea.963752
title: Ice surface elevation and ice thickness at 79°N Glacier, Greenland from airborne measurements in July 2021

description: We conducted airborne laser scanner and airborne radar measurements at the 79°N Glacier (Nioghalvfjerdsbræ) in Northeast Greenland in July 2021. Here, we provide ice surface elevation and ice thickness maps of the grounding line area based on 12 across-ice flow sections separated by 1 to 2.5 km. For ice thickness determination, we used AWI's Ultra-wideband (UWB, MCoRDS 5) airborne radar. The ice thickness was derived from the two-way travel time difference between the surface and the basal reflection, transformed to a thickness using a propagation velocity for the electromagnetic wave of 168.914 m μs⁻¹. The surface elevation and ice thickness were interpolated along flowlines of the ice and gridded to a regular grid with 25 m spacing. This dataset provides the latest ice geometry of the rapidly changing ice thickness at the grounding line of 79°N Glacier. The airborne data were acquired as part of AWI's 79NG-EC campaign with AWI's polar aircraft Polar5.
description: Data were measured in the field by Veit Helm and Angelika Humbert. Data processing was done by Aman Gupta, Veit Helm, Daniel Steinhage, and Ole Zeising. This dataset has been planned by Angelika Humbert.If you have questions, please contact Ole Zeising (ole.zeising@awi.de) or co-authors.
DOI: 10.1594/pangaea.905315
title: Ice thickness, surface-, and bed elevation of Derwael Ice Rise, Dronning Maud Land Antarctica (2012-2013)

description: This ASCII file contains ice thickness, surface- and bed elevation derived from radar surveys on Derwael Ice Rise in 2012 and 2013. Radar thickness/bed measurements use wave speed of 1.68e8 m/s; Firn correction applied; Surface elevation measured by differential, kinematic GPS with dual phase receivers.
description: Supplement to: Drews, Reinhard; Matsuoka, Kenichi; Martín, Carlos; Callens, Denis; Bergeot, N; Pattyn, Frank (2015): Evolution of Derwael Ice Rise in Dronning Maud Land, Antarctica, over the last millennia. Journal of Geophysical Research-Earth Surface, 120(3), 564-579
DOI: 10.1594/pangaea.909311
title: Ice thickness of the Oldest Ice Reconnaissance survey, 2016/17, Dome Fuji - Beyond EPICA

description: This data set contains the ice thickness data as recorded with the AWI airborne radar system (Nixdorf et al., 1999), operated with a 150 MHz pulse of 600 ns duration. Some 20000 line kilometres of ice thickness data were recorded in the Dome Fuji region, Antarctica. These data contain the ungridded product. The gridded product is available through doi:10.1594/PANGAEA.891323.
DOI: 10.1594/pangaea.923237
title: TransArctic-2019 expedition ice thickness and snow height direct measurements at points of hydrological stations

description: Direct (contact) measurements of sea ice thickness, elevation and snow height performed at points of 59 hydrological (oceanographic) stations during the TransArctic-2019 expedition (28 March - 04 May 2019) are presented. Variables include time, geographical location (lat, lon) and measurements of minimum (imin, m) and maximum (imax, m) sea ice thickness, minimum (iemin, m) and maximum (iemax, m) sea ice elevation (above sea level), minimum (smi, m) and maximum (sma, m) snow height, hummock concentration (huct, in 1/10 of area coverage) and maximum hummocks height (humh, m). Data is presented in CSV, DBF and shapefile formats. TransArctic-2019 expedition was convened by the Arctic and Antarctic Research Institute (AARI) aboard AARI research vessel "Akademik Tryoshnikov" within the area of the Arctic Basin northward of the Franz-Josef Land archipelago. Points of the stations were the helicopter landing sites chosen on sufficiently level and thick ice along the sections at a distance of 10s-100s km from the drifting ship.
DOI: 10.15468/dl.kapd58
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
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 "not" : {
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 "is one of (Fossil, Living Specimen)"
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 }
 ]
 },
 "SpeciesKey is Dolichoiulus wunderlichi Enghoff, 1992",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079711-240626123714530/datasets/export for details.
DOI: 10.15468/dl.25kmau
title: Occurrence Download

description: A dataset containing 3970 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Herpestes ichneumon (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 3970 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079712-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d74auu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
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 }
 }
 ]
 },
 "SpeciesKey is Dolichoiulus sansebastianus (Attems, 1911)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079713-240626123714530/datasets/export for details.
DOI: 10.15468/dl.detmq7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
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 "is one of (Fossil, Living Specimen)"
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 }
 }
 ]
 },
 "SpeciesKey is Dolichoiulus kraepelinorum (Latzel, 1895)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079714-240626123714530/datasets/export for details.
DOI: 10.15468/dl.kyv4yt
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
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 }
 }
 ]
 },
 "SpeciesKey is Dolichoiulus xylomystax Enghoff, 1992",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079715-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxmbnz
title: Occurrence Download

description: A dataset containing 1911661 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linaria cannabina (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1911661 records from 3625 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079708-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive141929.20211221.6
title: Streptococcus pneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141930.20211221.6
title: Streptococcus pneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141931.20211221.6
title: Streptococcus pneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141932.20211221.6
title: Streptococcus pneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141933.20211221.6
title: Streptococcus pneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141934.20211221.6
title: Streptococcus pneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141935.20211221.6
title: Streptococcus pneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141936.20211221.6
title: Streptococcus pneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141937.20211221.6
title: Streptococcus pneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141938.20211221.6
title: Streptococcus pneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141939.20211221.6
title: Streptococcus pneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141940.20211221.6
title: Campylobacter coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141941.20211221.6
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141942.20211221.6
title: Ralstonia pickettii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141943.20211221.6
title: Moraxella catarrhalis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141944.20211221.6
title: Streptococcus pneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141945.20211221.6
title: Streptococcus pneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141946.20211221.6
title: Campylobacter jejuni

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141947.20211221.6
title: Neisseria gonorrhoeae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.