cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2h70817c
title: Warming and irradiance Measurement (WARM) buoys deployed in Canada Basin and Chukchi Shelf, Arctic Ocean, 2019

description: The Warming and irradiance Measurement (WARM) buoy collects measurements of light, temperature, salinity and phytoplankton abundance under the Arctic sea ice. The Arctic ice pack has suffered continued thinning and reduction in seasonal extent, resulting in changes to the amount of sunlight penetrating through the ice and into the ocean beneath, having consequences for the physical and biological environment. Sunlight absorbed by the ocean under the ice causes warming, which can lead to accelerated ice melt resulting in even more sunlight reaching the ocean. In addition, warmer water also affects living organisms, influencing the ability of Arctic adapted species to survive, and possibly promoting the northward advancement of sub-Arctic species. Thinner ice also increases light available for photosynthesis, affecting the timing of phytoplankton blooms. If phytoplankton growth occurs early in the season then zooplankton, the organisms that feed on them can miss the bloom with consequences for the entire food web of the Arctic. This project aims to provide observations to help determine how the under-ice environment is changing by using autonomous buoys which overcome the limitations of ship-based observations. The buoys have proven to be very robust and can survive for approximately one year, providing hourly observations which will be available in near-real time to the research community and interested public parties. The buoys will be deployed in early spring in the western Beaufort Sea, with anticipated drift west over the Chukchi Shelf.
 This dataset includes data from an ice-tethered buoy deployed on Arctic sea ice in March 2019. Data measured include, Photosynthetically available radiation, temperature, and chlorophyll. A sidekick was deployed coincidently with the buoy and measured surface Photosynthetically available radiation
DOI: 10.18739/a2cf9j745
title: Meteorological data from two on-ice weather stations at 780 and 950 m asl elevations in the ablation area of Sermeq Avannarleq, West Greenland from 2017-2018.

description: We installed two weather stations during the 2017 melt season to constrain melt rates at two different elevations in the ablation area of Sermeq Avannarleq, on the western Greenland Ice Sheet. LOWC Weather station was installed at our Low Camp field site where the elevation is approximately 780 meters above sea level (m.a.s.l) and the ice is ~500 meters (m) thick. HIGH Weather station was installed at our High Camp field site where the elevation is approximately 950 m.a.s.l. and the ice is ~750m thick. Each station was equipped with a HOBO/ONSET U30 data logger set to record observations continuously every 15 minutes. Each station was mounted to 1.25-inch aluminum conduit, drilled and frozen into the ice. Instruments were mounted approximately two meters above the ice surface upon initial installation in 2017. During the 2017 melt season HIGH weather station experienced surface lowering of 50.2 centimeters (cm) from 2017-07-30 through 2017-08-15. Heavy snow fall beginning 16 Aug. 2020 effectively ended the 2017 melt season. The aluminum conduit mounting LOWC weather station snapped above the coupler over the 2017-2018 winter. LOWC weather station was re-installed in July 2018, while HIGH weather station was lowered, each station maintaining an approximate two meter instrument height above the ice surface.
DOI: 10.18739/a27p8tf1h
title: Networked Info-mechanical Systems (NIMS) grid Light Detection and Ranging (LiDAR) photographs in Barrow, Alaska 2010

description: At the end of the summer 2010 we took Light Detection and Ranging (LiDAR) measurements to depict Digital Elevation Models (DEMs) of the tundra vegetation within the Networked Info-mechanical Systems (NIMS) site in Barrow, Alaska. A set of photographs was taken at the time of the data collection. This includes a set of panoramic pictures taken by the researcher and a set taken by the LiDAR device itself. The LiDAR equipment was placed in six different positions around the NIMS grid targeting the actual grid.
DOI: 10.18739/a2qr4nr5x
title: Cover of plant species at plots within the Networked Info-mechanical Systems (NIMS) grid in Barrow and Atqasuk, Alaska, 2011

description: These files contain data representing the cover of plant species along an approximately 2 by 50 meter transect which robotic sensor platforms on the Networked Info-mechanical Systems (NIMS) grid are also measured. The data are in a text tab delimited format. The data presented were collected in 2011 at 46 plots in Barrow and 42 plots in Atqasuk.
DOI: 10.18739/a2wh2dg0d
title: Unmanned aerial vehicle (UAV) imagery and digital elevation model (DEM) of a supraglacial stream in southwest Greenland (67.153 N, -50.000 W) as well as classification raster of sediment covered areas, water depth raster, stage timeseries, and time-lapse video 2017

description: Data associated with the Geophysical Research Letters publication "The Presence and Widespread Distribution of Dark Sediment in Greenland Ice Sheet Supraglacial Streams Implies Substantial Impact of Microbial Communities on Sediment Deposition and Albedo". The data includes unmanned aerial vehicle (UAV/drone) imagery and digital elevation model (DEM) of the study site, a classified raster dataset of the stream area identified as either clean stream bed or sediment cover, an interpolated raster dataset showing the water depth at the time of the UAV flight, a spreadsheet of recorded water level over a week long person at the bottom of the stream reach, and a time lapse video of a nearby stream showing the diurnal fluctuation in floodplain exposure. This data is meant to provide supplementary information to support the claims made in the aforementioned manuscript and provide evidence that bacterial flocculation is necessary to have extensive cryoconite deposition within supraglacial streams.
DOI: 10.18739/a2m03xz13
title: Moulin hydrological measurements from Sermeq Avannarleq, West Greenland Ice Sheet from 2017-2018

description: We instrumented several moulins during the 2017 and 2018 melt seasons within the ablation area of Sermeq Avannarleq, in the Paakitsoq region of west Greenland. We simultaneously measured supraglacial stream stage to constrain the timing of peak recharge into each moulin, while also monitoring moulin water levels, a proxy for subglacial water pressure. JEME and RADI are the names of the moulins. We followed standard GPS station naming conventions (4-character names). In July 2017, we instrumented JEME moulin and the supraglacial stream terminating into the moulin. JEME moulin was located at our 'low camp' field site with an elevation of 765.8 m.a.s.l. (meters above sea level), and an ice thickness of ~500 m. We also instrumented RADI moulin, short for "Radical" moulin and supraglacial stream, located at our high camp field site with an elevation of 933.2 m.a.s.l., and an ice thickness of approximately 712 m. In 2017, our supraglacial stream data ends by 10 August 2017 when heavy snowfall filled both supraglacial channels, thus preventing stage measurements. Both JEME and RADI moulins closed over the winter of 2017-2018, neither being reactivated during the 2018 melt season. Consequently, our data show water level measurements as moulins were closing, with time series data ending 18 May 2018 for RADI moulin, presumably when the sensor froze within the moulin, and 20 July 2018 for JEME moulin, when we returned to the field. In 2018, we instrumented "Pirate moulin" which opened in the same place JEME moulin was the year before.
DOI: 10.18739/a2g73748m
title: Warming and irradiance measurements in the Arctic: Determining the link between solar energy absorption and surface warming through long term observations

description: The Arctic is considered to be a sentinel system in terms of climate change. The western Arctic in particular has experienced the largest positive anomalies in open water fraction, solar energy input, and sea surface temperature. The attenuation of light in surface waters has been identified as one of the key uncertainties in the modeling of Arctic Ocean physical properties, and has been found to significantly impact the simulation of sea ice thickness and upper ocean heat content. The vertical partitioning of solar radiation absorbed in the mixed layer of the Arctic Ocean, and the type of light absorbing compounds present determine the magnitude of heating. This heat directly impacts the rate of sea ice melt. The objectives of the proposed research are to quantify the connection between seasonal warming of arctic surface waters and the absorption of solar energy, and additionally to identify the presence and seasonal cycling of materials responsible for this absorption. Seasonal changes in the attenuation of solar radiation within the sea ice and upper 30m of the water column will be measured at high temporal resolution (hourly) by a new proof of concept buoy system. Temperature and PAR (photosynthetically active radiation) irradiance measurements will be made using optical sensors paired with thermisters within the water column and sea ice. A fluorometer will be used to quantify chlorophyll, colored dissolved organic material (CDOM) and light backscattering within surface waters. These sensors will be used to calculate diffuse attenuation coefficients (Kd) within the ice and water column, and to determine the seasonal cycling of phytoplankton and CDOM under the ice. The relationship between these optical and temperature observations will enable us to constrain the daily water column absorption component of the Arctic heating budget. This approach will fill in gaps in the current Arctic Observing Network strategy, expanding the observations to include a determination of solar energy absorption, and seasonal cycling of optically active compounds, which are known to have a quantifiable impact on solar heating. The long range goal of this research is to work towards the closure of the Arctic heating budget by constraining an important and poorly understood term. The ultimate goal of this concept would see a network of these buoys throughout the Arctic, in both ice-covered and open waters. Our work plan includes several deployments in multiyear ice. The location of the buoys will be 1) Multi-year ice in the Beaufort gyre in early spring, 2) the Geomission ice base (previously Catlin Arctic Survey) in the Canadian Arctic in early spring. Data at this site will be augmented by additional measurements made whilst at the camp, along with complementary studies by other Geomission projects and 3) in the Beaufort Gyre, deployed by the Beaufort Gyre Exploration Project in late spring within their network of ice-tethered profilers.
DOI: 10.34740/kaggle/dsv/9981385
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.18739/a2bg2hb5z
title: The Effect of Carbonate Chemistry on Sea Ice Biota in the High Arctic 2018

description: The High Arctic is a highly variable system whose biota consists of both that within the water column and that associated with ice. During some years the North Pole region is largely ice free, and in other years experiences heavy concentrations of ice of up to 2 meters (m) in thickness. We participated in the Research Vessel/Ice Breaker (RVIB) Oden cruise to the North Pole in late summer, 2018, with the objective to sample High Arctic sea ice biota and the carbonate chemistry of sea ice. Ice concentrations were extremely heavy during this year, and the programs objectives were met by mooring to a large ice floe and establishing a temporary ice camp to collect ice and atmospheric information. Our sampling included samples from that floe, but also from other areas that were reached using a helicopter. Ice cores were sampled following established best practices (Miller et al., 2015) using a 0.9 m Kovacs ice corer driven by a small electric drill. Cores were removed from the corer, and temperatures were taken using a Amadigit thermistor. All cores were then cut using a stainless-steel saw into 10 centimeter (cm) sections. For carbonate chemistry, each section was placed into a gas-impermeable Tedlar® bag, sealed, and the surrounding air removed through a valve using a manual pump. Independent cores were collected for biological properties and processed in a similar manner. Ice samples were thawed in the dark from 4-10⁰ Celsius (C) for approximately 24 hours before analysis.
 In the ships laboratories, samples were analyzed for Dissolved Inorganic Carbon (DIC) by an Automated Infrared Inorganic Carbon Analyzer (AIRICA; Marianda) system equipped with a LI-COR LI7000 detector and for Total Alkalinity (TA) by an automatic open-cell potentiometric titration with 0.1 Molar (M) hydrochloric acid using a Metrohm Titrando system (Dickson et al., 2007). Samples for chlorophyll and particulate organic matter were filtered through 25 millimeter (mm) GF/F filters; chlorophyll was analyzed by fluorometry, and Particulate Organic Carbon/Particulate Organic Nitrogen (POC/PON) samples were dried at 60ºC and returned to VIMS for analysis on a Costech elemental analyzer.
 Additional cores were collected for experimental analysis in a ships cold room, where the carbonate chemistry was altered by immersing core sections in seawater with enhanced DIC levels. All experiments were conducted using Tedlar bags to eliminate atmospheric exchanges of gases. Samples were processed at the end of 7 days as above. Results have been reported in Torstensson et al. (in press).
DOI: 10.15468/dl.rsvpjd
title: Occurrence Download

description: A dataset containing 30 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 yakoensis (Jeffrey) N.Kilian)"
 ]
}

 The dataset includes 30 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027839-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24396/ordar-151
title: Supplementary material: data availability compiling the database and our analytical results

description: Files available used in this study: (i) "IDP_Neve_Concordia_CRPG _MNHN_GFénisseEtAl_EPSL.xlsx", snow mass compilation from the clean snow at the CONCORDIA station (Dome C, Antarctica) , (ii) "Calibration_of_He_concentration_inFurnace_GFénisseEtAl_EPSL.xlsx", the furnace calibration for He measurements (iii) "HeResults_IDPsMMs_GFénisseEtAl_EPSL.xlsx", the He isotopic compositions and total masses deduced by size range of cosmic dust from the CONCORDIA snow, (iv) "Database_IDPs&MMs_He&Ne_GFénisseEtAl_EPSL.xlsx", exhaustive database containing all published light noble gas data (3He, 4He and 20Ne) measured in IDPs and MMs collected in the stratosphere and Antarctica, (v) "ReferencesTable_3HeETFlux_GFénisseEtAl_EPSL.xlsx", Database of light noble gas measured in Antarctica MMs - This dataset of He vs. MMs mass is used here to convert 3He concentrations in dust abundances.
DOI: 10.18739/a2th8bn9t
title: Gulf of Alaska Regional Oceanic Model System - Carbon, Ocean Biogeochemistry and Lower Trophic (ROMS-COBALT) Hindcast Simulation 1980 - 2013

description: Gulf of Alaska Regional Oceanic Model System - Carbon, Ocean Biogeochemistry and Lower Trophic (ROMS-COBALT) hindcast model output at monthly and daily resolution for the time spanning 1980 to 2013. The simulation was conducted by Katherine Hedstrom at the University of Alaska Fairbanks Research Computing Systems, Fairbanks, Alaska, United States of America (USA) in 2019, at horizontal resolution of 4.5 kilometers (km). The model set up has been developed and the hindcast simulation conducted as part of National Science Foundation OCE Grant #1459834. Available variables include e.g. salinity, temperature, inorganic carbon and nutrients, Chla etc.
 The simulation was conducted to get a better understanding of the complex interplay of mechanisms that drive aragonite undersaturation in this region and to study the rate of change of pH and aragonite saturation state since 1980.
DOI: 10.18739/a2pr7mv5p
title: Yukon-Kuskokwim River Delta 2015 fire burn depth measurements and unburned soil and vegetation organic matter and carbon content collected in 2019.

description: Tundra environments in Alaska are experiencing elevated levels of wildfire, and the frequency is expected to keep increasing due to rapid warming of the Arctic. Because of large amounts of carbon stored in permafrost soils, tundra wildfires may release significant amounts of carbon to the atmosphere that ultimately influence the Earth’s radiative balance. Therefore, accounting for the amount of carbon released from tundra wildfires is important for understanding the trajectory of climate change. We collected data in the Yukon-Kuskokwim River Delta during the summer of 2019 for the purpose of determining organic matter and carbon lost during the 2015 fire season. Organic matter and carbon lost from combustion were determined by combining burn depth measurements with organic matter and carbon content measurements from unburned tundra. Burn depth measurements were taken opportunistically across different levels of burn severity. Three vegetative markers, Sphagnum fuscum, Eriophorum, and Dicranum spp., that survived the fire event were used to measure the difference between the pre and post fire soil height in unburned and burned areas respectively, defined here as burn depth. All burn depth measurements are accompanied with coordinate locations so that they can ground truth and be upscaled by remote sensing data of burn severity. Organic matter and carbon content of the dense live vegetation layer and fibric soil layer were measured in the lab from vegetation and soil cores taken from four different sites in unburned tundra areas.
DOI: 10.18739/a2k06x22r
title: Near-inertial wave generation, propagation, and shoaling in a seasonally ice-covered ocean, Beaufort Sea Mooring I3, 2008-2009

description: Mooring I3: station: 'I3' lon: -149.6140 lat: 71.3697 depth: 1703 Instrument depth or range: Acoustic Doppler Current Profiler (ADCP) at 79m SeaBird Electronics (SBE)37 1759 at 79m McLane Moored Profiler from 80-600m SBE37 4923 at 600m SBE37 3638 at 1800m
DOI: 10.14469/hpc/11300
title: Crystal data for Compound 56.

description: Primary crystal data for Bis(ethanol) bis((4-(ethoxycarbonyl)-1H-pyrazol-5-yl)oxy)copper (56)
DOI: 10.14469/hpc/11504
title: IR Spectrum for Compound 56

description: IR Data for Bis(ethanol) bis((4-(ethoxycarbonyl)-1H-pyrazol-5-yl)oxy)copper (56)
DOI: 10.18739/a2fb4wn0f
title: Near-inertial wave generation, propagation, and shoaling in a seasonally ice-covered ocean, Beaufort Sea Mooring I2, 2008-2009

description: Mooring I2: station: 'I2' lon: -149.3180 lat: 71.3755 depth: 1858 Instrument depth or range: Acoustic Doppler Current Profiler (ADCP) at 79m SeaBird Electronics (SBE)37 4974 at 79m SBE37 4922 at 600m SBE37 3524 at 1800m NOTE: A McLane Moored Profiler was deployed but did not record any data due to a corrupt memory card.
DOI: 10.18739/a29k45t7j
title: Near-inertial wave generation, propagation, and shoaling in a seasonally ice-covered ocean, Beaufort Sea Mooring I1, 2008-2009

description: Mooring I1: station: 'I1' lon: -149.3342 lat: 71.2818 depth: 1288 Instrument depth or range: Acoustic Doppler Current Profiler (ADCP) at 79m SeaBird Electronics (SBE) 37 4973 at 79m McLane Moored Profiler from 80-600m SBE37 3647 at 600m SBE37 2864 at 1200m NOTE: Velocities from the McLane Moored Profiler are included, but incorrect due to an unresolved compass error.
DOI: 10.14469/hpc/10292
title: Compound 56: bis((4-(ethoxycarbonyl)-1H-pyrazol-5-yl)oxy)copper M062X/Def2-SVP, Two short Cu-N bonds G = -3270.768676

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10311
title: Compound 56: bis((4-(ethoxycarbonyl)-1H-pyrazol-5-yl)oxy)copper ROM062X/Def2-SVP, Two short Cu-N bonds G = -3270.766757 ROHF

description: Gaussian 16 (C01) calculation for bis((4-(ethoxycarbonyl)-1H-pyrazol-5-yl)oxy)copper, starting from a geometry with two short Cu-N bonds (2.39) and two short Cu-O bond and two long Cu-O bonds. This pattern is preserved after geometry optimisation.

Keywords used opt freq scf=(maxcycles=1024) def2svp integral=(acc2e=14,grid=superfinegrid,noxctest) rom062x
DOI: 10.14469/hpc/10323
title: Compound 56: bis((4-(ethoxycarbonyl)-1H-pyrazol-5-yl)oxy)copper, ROM062X/Def2-SVP, Two long Cu-N

description: Gaussian 16 (C01) calculation, starting from a geometry with two long Cu-N bonds (2.39) and four short Cu-O bond. After optimisation, the structure reverts to one with two short Cu-N bonds, two short Cu-O bonds and a pair of long Cu-O bonds.
DOI: 10.18739/a25t3g13t
title: Near-inertial wave generation, propagation, and shoaling in a seasonally ice-covered ocean, Beaufort Sea, 2009-2012

description: This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). The PI proposes to leverage the ongoing ICORTAS (Ice-Covered Ocean Response to Atmospheric Storms) field observations by augmenting the existing scientific goals to include a modeling component that will capitalize on a model?s ability to resolve temporal and spatial fields, aiding in interpretation of the data. Specific new goals will be a focus on shoaling and dissipation of near-inertial wave groups as they are absorbed or scatter at the continental shelf break. The PI will use the fact that the study area, the Beaufort Sea shelf and slope, is seasonally ice-free to explore the impact that a changing ice cover may have on internal wave energy levels, both through changes in the efficiency of generation, and changes in under-ice dissipation. Simulations will be tightly linked to the field data, using measured upper ocean sea-ice drift and deformation, currents and remote sensing products. In particular, the study will address the following new questions: 1) How much of the observed downward energy flux out of the ice-covered ocean reaches the continental slopes? 2) Does the measured incoming energy flux accumulate at the shelf-break, which is critical to almost all internal waves in the Arctic? 3) Is this energy accumulation sufficient to account for the implied mixing rates required to ventilate the abyssal Beaufort Sea? 4) What are the relative efficiencies and damping rates of near-inertial waves subject to bottom, under-ice, open water, and critical slope reflections? Funding Source: Arctic Natural Sciences (ANS) Sponsor: University of Alaska Fairbanks Campus, West Ridge Research Bldg 008, Fairbanks, AK 99775-7880
DOI: 10.18739/a2222r69c
title: Ring widths measured on increment cores collected from generally large trees growing at the terrace, forest and treeline sites in Alaska, 1814-2012

description: Ring widths measured on increment cores collected from generally large trees growing at the terrace, forest and treeline sites. Sample size is approximately 25 cores/site.
DOI: 10.14469/hpc/11392
title: Primary crystal structure data for Compound 38. (m-O)-Di-[cyclopentadienyl-bis((4-(ethoxycarbonyl)-1-phenyl-1H-pyrazol-5-yl)oxy)zirconium]
DOI: 10.18739/a2x921k4c
title: Air temperature, relative humidity, photosynthetically active radiation, soil temperature and soil water content of three contrasting white spruce habitats near the Arctic treeline, Alaska, 2010-2012

description: Hourly measurements of air temperature, relative humidity, photosynthetically active radiation, soil temperature and soil water content of three contrasting white spruce habitats near the Arctic treeline: riverside terrace, forest and treeline. Rainfall data are also included for the terrace.
DOI: 10.14469/hpc/11430
title: Primary crystal structure data for Compound 62. Bis(aqua) tris((4-(ethoxycarbonyl)-1-phenyl-1H-pyrazol-5-yl)oxy)lanthanum