cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2696zz7x
title: Strain-Induced Fabric Development in Ice under Hydrostatic Pressure, United States, 2010-2015

description: Support is provided to allow the PIs to understand and model, through an improved understanding of grain boundary migration processes in deforming ice, the following phenomena: 1. The survival of extensive deformation and domination of the microstructure at depth of favorably-oriented grains, 2. The growth of slipping grains in the direction of shear, and whether this is a function of the relative orientations of neighboring grains or a fundamental characteristic of slipping grains, and 3. The effects of pressure on the rate and/or balance of the processes responsible for fabric development at depth. Their working hypothesis is that slipping grains can propagate without requiring recrystallization, and that this process is closely associated with anisotropy in grain boundary mobility during deformation. To seek evidence of these mechanisms, they propose the following series of laboratory observations on granular freshwater ice: 1. Conduct confined compression experiments at low deviatoric stresses and a range of pressure and temperature to develop a preferred c-axis orientation and cause growth. 2. Use standard techniques to document c-axis orientations, grain size and shape of the deformed microstructures for several temperatures and shear stress levels. 3. Employ electron backscatter pattern (EBSP) analysis to document a- and c-axis orientations of slipping and abutting grains in the deformed material. 4. Use surface etching to identify slip line arrays in the deforming grains, and couple these observations with the grain boundary structures observed in the EBSP results. The fundamental understanding derived from this study is anticipated to foster improved understanding of paleoclimate as derived from the interpretation of ice cores, as well as improved models of glacier and ice sheet mechanics.
DOI: 10.18739/a22j6853k
title: Cryostratigraphy and ground-ice content of the upper permafrost at the Jago River study site, Northern Alaska, July-August 2018

description: This dataset contains information on cryostratigraphy and ground-ice content of the upper permafrost, which was based on the results of field work at the Jago River study site located approximately 45 kilometers (km) south of Kaktovik. In July-August 2018, 50 boreholes up to 5.2 meters (m) deep were drilled along the transect that had been established in August 2009. Thirteen of them were re-drilled at the same sites where ice wedges were degrading or stabilizing in 2009 and one borehole with number C43-MS1 – in the center of polygon. Entire cores were described and photographed in the field, and ground-ice contents of frozen soils (including gravimetric and volumetric moisture contents, excess-ice content) were determined. The dataset includes cryostratigraphic descriptions, ice-content values, and photographs of the frozen cores obtained from 50 boreholes.
DOI: 10.18739/a2xs5jh8k
title: Ground Penetrating Radar (GPR) data on frozen lakes, Alaska, 2019-2020.

description: This dataset contains ground penetrating radar (GPR) data acquired on frozen lakes at three different regions in the North Slope of Alaska, including Utqiaġvik, Teshekpuk, and Oumalik, during April/May 2019 and January 2020, and around Fairbanks, Alaksa, during March 2020. Measurements were made using Malå ProEx 800 megahertz (MHz) (GuidelineGeo, Sundbyberg, Sweden) antennas with either single or multichannel configuration. Multichannel data were acquired using two fixed antennas configuration with internal offsets of 0.14 meters (m) (A1 and B1) and external offsets of 2.02 m (A2) and 1.74 m (B2). Raw GPR data of 29 transects from a total of 16 lakes are provided in the .RAD3 format, along with the corresponding acquisition parameters (.RAD) and Global Positioning System (GPS) coordinates (.COR) files. A spreadsheet with basic information and a Keyhole Markup Language (KML) file indicating the location of each transect are also provided. This dataset can be used to estimate snow and ice properties.
DOI: 10.15468/dl.wzrg7s
title: Occurrence Download

description: A dataset containing 13303 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kinorhyncha"
 ]
}

 The dataset includes 13303 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027807-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2t14tq4r
title: Hydrogeochemistry of Greenlandic proglacial and nonglacial streams, 2017-2018

description: This project assesses how weathering varies across deglaciated and proglacial watersheds in western and southern Greenland to evaluate the impact of ice sheet retreat on isotopic and nutrient fluxes to the ocean and atmospheric carbon dioxide (CO2) and methane (CH4) exchange. Deglaciated watersheds are separated from the ice sheet by hydrologic divides and drain precipitation and permafrost meltwater, while proglacial watersheds include also glacial meltwater. Previous studies of high latitude weathering focused almost exclusively on proglacial and subglacial systems; however, preliminary work suggests deglaciated watersheds in western Greenland have similar specific discharge (discharge normalized to drainage area) but solute concentrations distinct from proglacial system. Distinct solute concentrations results from increasing weathering extent from inland to the coast. Greenland Ice Sheet (GrIS) retreat will increase the areal extent of deglaciated watersheds, particularly those with coastal weathering characteristics, and thus should weathering fluxes. This project aims to test the hypothesis that differences in weathering reactions and extent within deglaciated watershed, and between deglaciated and proglacial environments, will produce predictable changes in isotopic, solute, and nutrient fluxes as the ice sheet retreats. We compare stream discharge and water chemistry between Greenlandic proglacial and nonglacial streams during the spring (2017), summer (2018) and fall (2017) melt seasons between two rivers draining the Greenland Ice Sheet (proglacial rivers) and six streams draining deglaciated watersheds (nonglacial streams). This dataset includes major cations and anions, biogeochemical solute concentrations, trace metals, radiogenic isotopes, Dissolved Organic Carbon (DOC) and Colored Dissolved Organic Matter (CDOM) characteristics analyzed with spectroscopic (UV (ultraviolet) absorbance and fluorescence) measurement, and stream discharge information.
DOI: 10.18739/a2pc2t94t
title: Hydrogeochemistry of Greenlandic proglacial and nonglacial streams, 2017-2018

description: This project assesses how weathering varies across deglaciated and proglacial watersheds in western and southern Greenland to evaluate the impact of ice sheet retreat on isotopic and nutrient fluxes to the ocean and atmospheric carbon dioxide (CO2) and methane (CH4) exchange. Deglaciated watersheds are separated from the ice sheet by hydrologic divides and drain precipitation and permafrost meltwater, while proglacial watersheds include also glacial meltwater. Previous studies of high latitude weathering focused almost exclusively on proglacial and subglacial systems; however, preliminary work suggests deglaciated watersheds in western Greenland have similar specific discharge (discharge normalized to drainage area) but solute concentrations distinct from proglacial system. Distinct solute concentrations results from increasing weathering extent from inland to the coast. Greenland Ice Sheet (GrIS) retreat will increase the areal extent of deglaciated watersheds, particularly those with coastal weathering characteristics, and thus should weathering fluxes. This project aims to test the hypothesis that differences in weathering reactions and extent within deglaciated watershed, and between deglaciated and proglacial environments, will produce predictable changes in isotopic, solute, and nutrient fluxes as the ice sheet retreats. We compare stream discharge and water chemistry between Greenlandic proglacial and nonglacial streams during the spring (2017), summer (2018) and fall (2017) melt seasons between two rivers draining the Greenland Ice Sheet (proglacial rivers) and six streams draining deglaciated watersheds (nonglacial streams). This dataset includes major cations and anions, biogeochemical solute concentrations, trace metals, radiogenic isotopes, Dissolved Organic Carbon (DOC) and Colored Dissolved Organic Matter (CDOM) characteristics analyzed with spectroscopic (UV (ultraviolet) absorbance and fluorescence) measurement, and stream discharge information.
DOI: 10.18739/a2jm23h02
title: Climate and Fire History of the past approximately 10000 years in central Labrador based on sediments from Canoe and 'Big Beer' Lakes

description: Fire plays a critical ecological role in the boreal forest. The long-term history of fire and link(s) to climate change remain understudied in the eastern boreal forest of present-day Labrador. Here we provide a new data set based on short sediment cores extracted from two lakes (Canoe and “Big Beer”) in eastern Labrador in 2013. Age-depth models were constructed for each core based on corrected Accelerator Mass Spectrometry (AMS) Carbon 14 dates. Charcoal (area and counts) was used to reconstruct fire histories, and changes in climate were inferred from analysis of sediment loss-on-ignition, magnetics (susceptibility, isothermal remanent magnetization and anhysteretic remanent magnetization), stable isotopes (carbon and nitrogen) and biogenic silica. Charcoal data suggested markedly different fire histories for the two lakes. Fire appears to be largely absent in the area around Big Beer Lake except for two possible fire events prior to ~6900 Before Present (BP). Fire was more common at Canoe Lake as indicated by higher concentrations of charcoal overall and multiple distinct peaks, especially after 4000 BP.
DOI: 10.18739/a2ws8hm8b
title: Fire influences on forest recovery and associated climate feedbacks in Siberian Larch Forests, Russia, 2018-2019

description: The primary objective of this research is to determine the causes of varying post-fire tree recruitment within larch forests of eastern Siberia and consequences for climate feedbacks via changes in Carbon (C) storage and albedo using a combination of field-based measurements, dendrochronological analysis, remotely-sensed data, and statistical modelling. This dataset contains field data from 6 burned areas in eastern Siberia, collected during June and July 2018. Within each burned area, we measured larch seedling recruitment (density and size), overstory, understory, and shrub composition, active layer depth, soil organic layer composition, soil nutrients, and canopy cover in a series of "extensive plots" along transects. In "intensive plots" with varying larch seedling density, we collected detailed information on larch recruitment age, size, and density, mycorrhizal abundance and composition on larch seedling roots, soil organic layer characteristics, understory vegetation, ectomycorrhizal host presence, canopy cover, and soil nutrients, moisture, and temperature.
DOI: 10.15468/dl.u6p443
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Notoseris henryi (Dunn) C.Shih)"
 ]
}

 The dataset includes 167 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027809-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2s46h677
title: Aerial census of reindeer in Taimyr, Russia, 2003

description: The dataset is a part of a comprehensive information system that provides insight into the historical relationship between humans, climate, environment, and reindeer in Taimyr, Russia. This dataset is a product of digitization and reanalysis of historical aerial observational data collected in 1969 by the researchers from the Extreme North Agriculture Research Institute. The data contain spatial data representation and descriptions based on the approximate flight paths undertaken in July of 1969 reconstructed from the unpublished aerial census report and data log.
 The Taimyr Reindeer Migration Reanalysis (TAMARA) project is an integral part of the worldwide network of reindeer observation programs.
DOI: 10.6084/m9.figshare.27888891
title: Supplementary Table 4

description: <b>Supplementary Table 4. The subgroup analysis of the preventive effect of vitamin D levels on hypothyroidism in the PSM cohort.</b>
DOI: 10.6084/m9.figshare.27888891.v1
title: Supplementary Table 4

description: <b>Supplementary Table 4. The subgroup analysis of the preventive effect of vitamin D levels on hypothyroidism in the PSM cohort.</b>
DOI: 10.18739/a2nc5sd33
title: Aerial census of reindeer in Taimyr, Russia, 1992

description: The dataset is a part of a comprehensive information system that provides insight into the historical relationship between humans, climate, environment, and reindeer in Taimyr, Russia. This dataset is a product of digitization and reanalysis of historical aerial observational data collected in 1969 by the researchers from the Extreme North Agriculture Research Institute. The data contain spatial data representation and descriptions based on the approximate flight paths undertaken in July of 1969 reconstructed from the unpublished aerial census report and data log.
 The Taimyr Reindeer Migration Reanalysis (TAMARA) project is an integral part of the worldwide network of reindeer observation programs.
DOI: 10.18739/a2dv1cp5t
title: Shrub ring-width measurements of Alnus viridis var. crispa located on a slope over a small hill near the ‘Ice Cut’ at Dalton Highway in Alaska, 1920 - 2010

description: Warming in recent decades has triggered shrub expansion in arctic and alpine tundra, which is transforming these temperature-limited ecosystems and altering carbon and nutrient cycles, fire regimes, permafrost stability, land-surface climate-feedbacks, and wildlife habitat. Where and when Arctic shrub expansion happens in the future will depend in part on how different shrub communities respond to warming air temperatures. Here, we analyze a shrub ring-width network of 18 sites consisting of Salix spp. and Alnus viridis growing across the North Slope of Alaska (68-71 North; 164-149 West) to assess shrub temperature sensitivity and compare radial growth patterns with satellite NDVI (normalized difference vegetation index) data since 1982. All shrub sites and species shared a common year-to-year growth variability despite site differences and had a positive response, ~67% of which were significant (P less than 0.05), to daily maximum air temperatures (Tmax) from ca. May 31 (i.e. Tmax ~6 Celsius (C)) to early July (i.e. Tmax ~12 C). Thus, the month of June had the highest shrub growth-temperature sensitivity and this period coincides with the seasonal increase in temperature and an green-up of tundra indicated by both field observations and the seasonal cycle of NDVI (~photosynthetic activity). Nearly all of the sampled shrubs (98%) initiated their growth after 1960, with 74% initiated since 1980. This post-1980 shrub-recruitment pulse coincided with ~2 C warmer June temperatures compared to prior periods and positive trends in shrub basal area increments (BAI) and peak summer NDVI. Significant correlations between shrub growth and peak summer NDVI indicate these radial growth patterns in shrubs reflect a broader trend of enhanced tundra productivity across the North Slope of Alaska. 
 This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree ring with a geographic location of Alaska, United States Of America. The time period coverage is from -27 to -60 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
DOI: 10.18739/a2930nw10
title: Shrub ring-width measurements of Salix species over flat terrain next to the Sag River near the ‘Ice Cut’ at Dalton Highway in Alaska, 1977- 2010

description: Warming in recent decades has triggered shrub expansion in arctic and alpine tundra, which is transforming these temperature-limited ecosystems and altering carbon and nutrient cycles, fire regimes, permafrost stability, land-surface climate-feedbacks, and wildlife habitat. Where and when Arctic shrub expansion happens in the future will depend in part on how different shrub communities respond to warming air temperatures. Here, we analyze a shrub ring-width network of 18 sites consisting of Salix spp. and Alnus viridis growing across the North Slope of Alaska (68-71 North; 164-149 West) to assess shrub temperature sensitivity and compare radial growth patterns with satellite NDVI (normalized difference vegetation index) data since 1982. All shrub sites and species shared a common year-to-year growth variability despite site differences and had a positive response, ~67% of which were significant (P less than 0.05), to daily maximum air temperatures (Tmax) from ca. May 31 (i.e. Tmax ~6 Celsius (C)) to early July (i.e. Tmax ~12 C). Thus, the month of June had the highest shrub growth-temperature sensitivity and this period coincides with the seasonal increase in temperature and an green-up of tundra indicated by both field observations and the seasonal cycle of NDVI (~photosynthetic activity). Nearly all of the sampled shrubs (98%) initiated their growth after 1960, with 74% initiated since 1980. This post-1980 shrub-recruitment pulse coincided with ~2 C warmer June temperatures compared to prior periods and positive trends in shrub basal area increments (BAI) and peak summer NDVI. Significant correlations between shrub growth and peak summer NDVI indicate these radial growth patterns in shrubs reflect a broader trend of enhanced tundra productivity across the North Slope of Alaska. 
 This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree ring with a geographic location of Alaska, United States Of America. The time period coverage is from -27 to -60 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
DOI: 10.18739/a2599z273
title: Shrub ring-width measurements of Salix species over flat terrain near the Dalton Highway in Alaska, 1964 - 2010

description: Warming in recent decades has triggered shrub expansion in arctic and alpine tundra, which is transforming these temperature-limited ecosystems and altering carbon and nutrient cycles, fire regimes, permafrost stability, land-surface climate-feedbacks, and wildlife habitat. Where and when Arctic shrub expansion happens in the future will depend in part on how different shrub communities respond to warming air temperatures. Here, we analyze a shrub ring-width network of 18 sites consisting of Salix spp. and Alnus viridis growing across the North Slope of Alaska (68-71 North; 164-149 West) to assess shrub temperature sensitivity and compare radial growth patterns with satellite NDVI (normalized difference vegetation index) data since 1982. All shrub sites and species shared a common year-to-year growth variability despite site differences and had a positive response, ~67% of which were significant (P less than 0.05), to daily maximum air temperatures (Tmax) from ca. May 31 (i.e. Tmax ~6 Celsius (C)) to early July (i.e. Tmax ~12 C). Thus, the month of June had the highest shrub growth-temperature sensitivity and this period coincides with the seasonal increase in temperature and an green-up of tundra indicated by both field observations and the seasonal cycle of NDVI (~photosynthetic activity). Nearly all of the sampled shrubs (98%) initiated their growth after 1960, with 74% initiated since 1980. This post-1980 shrub-recruitment pulse coincided with ~2 C warmer June temperatures compared to prior periods and positive trends in shrub basal area increments (BAI) and peak summer NDVI. Significant correlations between shrub growth and peak summer NDVI indicate these radial growth patterns in shrubs reflect a broader trend of enhanced tundra productivity across the North Slope of Alaska. 
 This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree ring with a geographic location of Alaska, United States Of America. The time period coverage is from -27 to -60 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
DOI: 10.18739/a2hm52k87
title: Gap-filled meteorological data and surface energy balance at nine Greenland Climate Network (GC-Net) stations over 1998-2017

description: This dataset contains the hourly gap-filled meteorological data at nine Greenland Climate Network (GC-Net) stations: Crawford Point 1 (CP1), Dye-2, NASA-SE, Saddle, South Dome, NASA-E, NASA-U, Summit, Tunu-N for the period 1998-2017. Meteorological variables include: air temperature at 2 meters (m) height, relative humidity at 2 m height, wind speed at 10 m height, atmospheric pressure and adjusted snow fall rate from surface height sounder . The dataset also includes surface energy budget components: upward and downward shortwave and longwave radiative fluxes, sensible and latent heat fluxes (and subsequently sublimation/deposition), conductive heat flux into the subsurface, surface temperature and surface melt. These data were prepared for, and fully described in Vandecrux et al. (2020, https://doi.org/10.1017/jog.2020.30). For their calculation, raw data from the GC-Net stations (available at http://cires1.colorado.edu/steffen/gcnet/) were filtered from erroneous measurements and gap-filled using either nearby automatic weather stations or adjusted RACMO2.3p2 regional climate model output. Downward longwave radiation is not monitored by the GC-Net stations and is therefore directly taken from RACMO2.3p2. Upward shortwave radiation was gap-filled using gap-filled downward shortwave radiation and daily Moderate Resolution Imaging Spectroradiometer (MODIS) albedo. The surface energy budget calculation uses the Monin-Obukhov similarity theory accounting for the near-surface atmosphere stratification.