cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2vd6p49r
title: Catchment connectivity in an Arctic coastal plain watershed, 2018

description: This dataset provides longitudinal connectivity of catchments in the Fish Creek Watershed on the Arctic Coastal Plain of Alaska. In situ observations were made between July 7, 2018 and July 18, 2018 from 61 of the 141 total catchments. These observations informed remote sensing classification of the remaining 80 catchments. While most of the connectivity data was collected through aerial observations, some observations were made from the ground when hydrologic data was being collected. Connectivity was evaluated at two points, one upstream and one downstream, along the main stream throughout each catchment. Upstream and downstream catchment areas were given one of four classification types: no barriers, diffuse flow, subsurface flow, knickpoint. Results of upstream connectivity and downstream connectivity were used to evaluate total catchment connectivity, in which an emphasis was placed on downstream connectivity, an area which serves as the gateway to the catchment for fish traveling to vital lakes upstream. Total connectivity classes were passable, intermittently passable, partially passable, and impassable. Hydrologic connectivity of each catchment was evaluated using surficial geology and catchment area. The purpose of these data is to better inform and guide resource management in the context of land-use and climate change. These data will be particularly useful in land management decisions surrounding lake water-use and petroleum development in the Fish Creek Watershed and other lake-rich regions of the Arctic Coastal Plain.
DOI: 10.18739/a21834279
title: Elemental Quotas and Stoichiometry of Polar Diatoms, United States, Antarctica, Baffin Bay, and Norway, 2016-2018

description: Current allometric relationships lack data for phytoplankton grown under polar temperatures (e.g., &lt;8°C). This data set examines whether allometric relationships for polar diatoms, an ecologically and biogeochemically important phytoplankton group in polar ecosystems, is similar to their low-latitude counterparts. 11 strains of diatoms isolated from polar waters (both Arctic and Antarctic) were grown in the laboratory to quantify cellular carbon (C), nitrogen (N), phosphorus (P), silica (Si), cell number and biovolume during mid-exponential and early stationary growth phases. These same parameters were also quantified for clones grown under N and light limitation but constant temperature and photoperiod. A clear allometric log-log relationship was observed between cell quotas and biovolume with resulting regression slopes (excluded one outlier species) that were more similar to published values (low latitude clones) for each element. However, diatoms grown at polar temperatures have a much higher cell quota per unit cell volume (i.e., element density).
DOI: 10.18739/a26q1sh2v
title: Plant trait measurements of species at snowfences around Toolik Lake, Alaska, 2010-2011.

description: To determine how snow depth impacts the growth of arctic plants, we studied the effect of multiple years of added snow on plant growth by using fences to create snow drifts. We studied nine common plant species, consisting of shrubs and graminoids, to determine how plants distribute their resources among various components (i.e. stems, leaves, branches) under added snow. We sampled from several habitat types near Toolik Lake, Alaska, ranging from low to high shrub biomass to see if species responded differently depending on their environment. Our goal was to understand how deeper snow may contribute to widespread shrub expansion across the Arctic by studying plant biomass allocation patterns; the dataset consists of trait measurements associated with biomass.
DOI: 10.18739/a2bg2h960
title: Toolik Dry Tundra Ecosystem Flux [Welker, J., J. Fahnestock]

description: This dataset represents four growing seasons (1996, 1997, 1998, 2000) of ecosystem (plant + soil) respiration data from moist acidic tussock and dry heath tundra to the atmosphere. The data is column delimited ASCII format. For more information, see the readme file.
DOI: 10.18739/a2g44hq8w
title: River discharge data, National Petroleum Reserve, Alaska, 2001-2017

description: Bureau of Land Management hydrologist Richard Kemnitz collected discharge records from 2001 to 2017 for several rivers in the National Petroleum Reserve in Alaska (NPR-A) in cooperation with the U.S. Geological Survey, University of Alaska Fairbanks, the Arctic Landscape Conservation Cooperative, and the National Science Foundation. These valuable records for a remote roadless region of the Arctic represent the hydrological response of watersheds in a region undergoing expanded development by the petroleum industry and over a time period of notable climate change in Arctic Alaska. Hydrologic datasets such as these are also being utilized for a new NSF funded project titled "Causes and Consequences of Catastrophic Lake Drainage in an Evolving Arctic System (OPP-1806287)" to assess changes in arctic hydrology due to flood events generated from drained thermokarst lake basins.
DOI: 10.18739/a2rv0d11h
title: Alaska school characteristics and teacher retention, 2009-2015

description: High teacher turnover in rural Alaska is costly and prevents indigenous students from entering career pathways or college education. To provide equity and access to quality education, Arctic Alaska needs a consistent and culturally responsive teacher workforce that is integrated into the community life. The dataset examines school characteristics, reading/writing, and mathematics test scores. students enrollment, teacher attrition, and related demographics variables of 78 rural Alaska schools.
DOI: 10.21227/xvb4-6611
title: A123's Lithium Iron Phosphate (ANR26650M1-B) Cell Data

description: A computational efficient battery pack model with thermal consideration is essential for simulation before real-time embedded implementation. The proposed temperature-dependent battery model (LiFePO4 battery cell, ANR26650M1-B from A123 Systems) will increase the lifespan of the battery. The simulation outputs are validated by a set of independent experimental data at a different ambient temperature using the dataset collected at 5 °C, 15 °C, 25 °C, 35 °C and 45 °C.
DOI: 10.3886/e111961v1
title: Komlos and A'Hearn \"Clarifications of a Puzzle\"

description: Stata data files and code to reproduce the results in Komlos and A'Hearn, "Clarifications of a Puzzle: The Decline in Nutritional Status at the Onset of Modern Economic Growth in the United States," forthcoming JEH 2019.
DOI: 10.6082/uchicago.2032
title: Scaling Relations for Terrestrial Exoplanet Atmospheres from Baroclinic Criticality

description: The macroturbulent atmospheric circulation of Earth-like planets mediates their equator-to-pole heat transport. For fast-rotating terrestrial planets, baroclinic instabilities in the mid-latitudes lead to turbulent eddies that act to transport heat poleward. In this work, we derive a scaling theory for the equator-to-pole temperature contrast and bulk lapse rate of terrestrial exoplanet atmospheres. This theory is built on the work of Jansen & Ferrari and determines how unstable the atmosphere is to baroclinic instability (the baroclinic “criticality”) through a balance between the baroclinic eddy heat flux and radiative heating/cooling. We compare our scaling theory to General Circulation Model (GCM) simulations and find that the theoretical predictions for equator-to-pole temperature contrast and bulk lapse rate broadly agree with GCM experiments with varying rotation rate and surface pressure throughout the baroclincally unstable regime. Our theoretical results show that baroclinic instabilities are a strong control of heat transport in the atmospheres of Earth-like exoplanets, and our scalings can be used to estimate the equator-to-pole temperature contrast and bulk lapse rate of terrestrial exoplanets. These scalings can be tested by spectroscopic retrievals and full-phase light curves of terrestrial exoplanets with future space telescopes.
DOI: 10.7910/dvn/ujaghy/kah2pi
title: tser_nov_2018.txt

description: one-minute time series data for November 2018 campaign
DOI: 10.7910/dvn/ujaghy/lkqgqw
title: tser_sep_2017.txt

description: one-minute time series data for September 2017 campaign
DOI: 10.7910/dvn/ujaghy/urng57
title: tser_dec_2017.txt

description: one-minute time series data for December 2017 campaign
DOI: 10.18739/a22z12p8g
title: Large Area Estimates of Carbon Fluxes of Arctic Landscapes

description: Net CO2, evapotranspiration, and energy exchange were measured during 1998-2001 in wet-moist coastal sedge tundra (Barrow: 71 degrees 21 minutes north, 156 degrees 37 minutes west) and moist-wet coastal sedge tundra/moist-tussock tundra ecosystems (Atqasuk: 70 degrees 28 minutes north, 157 degrees 25 minutes west), and during the 1994-95 growing seasons (June-August) in moist-acidic (Happy Valley: 69 degrees 9 minutes north, 148 degrees 51 minutes west), moist non-acidic (24-Mile: 69 degrees 56 minutes north, 148 degrees 49 minutes west) and wet-sedge tundra ecosystems (U-Pad: 70 degrees 17 minutes north, 148 degrees 53 minutes west) located on the north slope of Alaska.
DOI: 10.18739/a2416t00z
title: GPS-derived data from the Pâkitsoq Region, Western Greenland Ice Sheet during the 2011 summer melt season

description: Eleven on-ice GPS stations were established in the Pâkitsoq Region of the western Greenland Ice to measure changes in ice velocity associated with the variation in surface melt and subglacial conditions during the 2011 summer melt season. These data span between May 20, 2011 and September 17, 2011 and were collected in conjunction with measurements of atmospheric conditions and borehole-derived subglacial pressures. The dataset included here contains modeled surface melt rates, ice velocity, longitudinal, lateral and vertical strain rates, and basal uplift and uplift rates derived from a series of high precision, L1/L2 Global Positioning System (GPS) stations. Each observation is posted at a 15-min interval with a 6-h phase preserving filter designed to extract diurnal variations in station position.
DOI: 10.18739/a27s7hs4c
title: River and lake ice thickness and snow depth at near maximum ice thickness and during ice decay in Alaska, 1961-1974

description: Through the cooperation of the Alaska Regional Office of the National Weather Service (NOAA) an ice thickness observation program was started by CRREL (Cold Regions Research and Engineering Laboratory) during the fall of 1961 (Bilello 1980). The locations depended upon the existence of established weather stations and the availability of local personnel who could be trained to make the measurements. By the end of the 1965-66 winter season, Alaskan natives, homesteaders, lodgekeepers, teachers, and clergy at 23 stations throughout the state were providing information on ice cover thickness and conditions. Ice and snow observations were typically made once a week close to the maximum ice thickness in February to May and during ice decay until conditions were no longer safe. This dataset has been tabulated from the original CRREL report, organized, and made available as part of a new project, NNA (Navigating New Arctic): Fresh Eyes on Ice: Connecting Arctic Communities through a Revitalized and Modernized Freshwater Ice Observation Network (OPP-1836523).
DOI: 10.18739/a2cj87k8h
title: Floating and bedfast lake ice regimes across Arctic Alaska using space-borne SAR imagery from 1992-2016

description: This dataset contains seven shapefiles of lake-rich regions in Arctic Alaska which detail late-winter lake ice regimes. Late-winter lake ice regimes are controlled by water depth relative to maximum ice thickness (MIT). When MIT exceeds maximum water depth, lakes freeze to the bottom with bedfast ice (BI) and when MIT is less than maximum water depth lakes have floating ice (FI). In this study, we use a combination of ERS-1/2, RADARSAT-2, Envisat, and Sentinel-1 synthetic aperture radar (SAR) imagery for the seven lake-rich regions to analyze lake ice regime extents and dynamics over a 25-year period (1992-2016). This research was a part of the Arctic Lake Ice Systems Science (ALISS) project (http://arcticlakeice.org/) . Our interactive threshold classification method determines a unique statistic-based intensity threshold for each SAR scene, allowing for the comparison of classification results from C-band SAR data acquired with different polarizations and incidence angles. Additionally, our novel method accommodates declining signal strength in aging extended-mission satellite SAR instruments. Comparison of SAR ice regime classifications with extensive field measurements from six years yielded a 93% accuracy. Significant declines in BI regimes were only observed in the Fish Creek area with 3% of lakes exhibiting transitional ice regimes - lakes that switch from BI to FI during this 25-year period. This analysis suggests that the potential conversion from BI to FI regimes is primarily a function of lake depth distributions in addition to regional differences in climate variability. Remote sensing of lake ice regimes with C-band SAR is a useful tool to monitor the associated thermal impacts on permafrost, since lake ice regimes can be used as a proxy for of sub-lake permafrost thaw, considered by the Global Climate Observing System as an Essential Climate Variable (ECV). Continued winter warming and variable snow conditions in the Arctic are expected and our long-term analysis provides a valuable baseline for predicting where potential future lake ice regimes shifts will be most pronounced.
DOI: 10.18739/a2pn8xf6v
title: Microwave radiometer snow categorization tool for Summit, Greenland, 2010 - 2015

description: This product categorizes snowfall events at Summit Station, Greenland by their associated cloud type using observations from the NSF ICECAPS project. The categories are determined primarily by signatures observed in ground based microwave radiometers (MWR) deployed at Summit as part of the ICECAPS instrument suite. Microwave radiances have differing sensitivity as a function of frequency to different atmospheric components. For ground-based MWRs, the observed signals at all frequencies include contributions from gases like water vapor and oxygen as well as from clouds (when in the field of view of the radiometer). The spectral regions between these gaseous absorption features are referred to as “windows”, where the contribution from the gases is relatively small. The 31.40 and 150 GHz MWR channels are considered a window channels. We designate the 150 GHz window channel as “HF” and the 31.40 GHz window channel as “LF”. When CLW is present in the column both the LF and HF channels observe emission from the condensed water, increasing the observed brightness temperature (BT). When ice hydrometeors are present in the atmosphere, they will affect the observed downwelling radiance primarily through scattering of the surface radiation back at he HF MWR channel only. By using the differences in the ratios of the HF to LF MWR observations of each scenario, we classify the snow into categories: precipitation originating from a fully glaciated ice cloud, i.e., “ice cloud (IC)” snow, precipitation originating from a mixed-phase cloud – snow that is has some CLW layers present, i.e., “CLW containing” snow, and precipitation that we cannot distinguish accurately the cloud type, i.e., “Indeterminate (IND) snow.”
DOI: 10.18739/a2td9n79h
title: Alexandra Fiord Dry Tundra Ecosystem [Welker, J., J. Fahnestock]

description: The data set presented here represents growing season (late-1999, 2000 and 2001) values of net carbon dioxide exchange, photosynthesis, and respiration between the atmosphere and dry heath tundra. The site is located at Alexandra Fiord on the east-central side of Ellesmere Island, Nunavut, Canada at 78.54N 75.55W, 50 m elevation asl. As part of the International Tundra Experiment (ITEX), Greg Henry of the University of British Columbia has been increasing air and soil temperatures at this site since 1993 using small open-topped chambers (OTCs). These OTCs are hexagonal in shape and are constructed of transparent fiberglass. They typically raise air and soil temperatures by 1 to 4C. The data set shows periodic carbon dioxide exchange data from the end of the 1999 growing season and throughout the 2000 and 2001 growing seasons in ambient plots and long-term (7-9 yrs) warmed (OTC) plots. The most complete data set (2001) begins in spring before winter snowmelt and ends at the end of summer when snow has once again covered the ground. The data are from 199908040800 to 200108042400 UTC.
DOI: 10.18739/a2086356k
title: Arctic Alaska Tundra and Lake Snow Surveys from 2012-2018

description: Late winter (March-April) snow surveys were regularly conducted in six regions of the Alaska's North Slope from 2012 to 2018 as part of NSF funded CALON (Circumarctic Lakes Observation Network) (1107481) and ALISS (Ambient Light Imaging and Spectral System) (1417300) projects. Within each region, one upland tundra sites and two lakes were surveyed each year to record snow depth and density. Surveys were primarily conducted to understand lake ice growth conditions and lake water balance, but these data should have value for a range of other studies.
DOI: 10.18739/a2m32n96b
title: Central Arctic snow chemical composition, 2013 - 2014

description: This data set consists of chemical analysis of snow melt water samples collected by scientists from the University of Washington Applied Physics Laboratory associated with the National Science Foundation (NSF) funded Switchyard and North Pole Environmental Observatory. Snow composition impacts chemistry occurring in the overlying Arctic atmosphere, impacting processes including boundary layer ozone depletion events and mercury deposition, yet the chemical composition of snow in this region of the Arctic has not yet been studied in detail. This data set attempts to fill in this knowledge gap by providing chemical composition measurements of snow in the central Arctic. The file contains snow chemical composition data from 2013 and 2014 field campaigns. Specific sampling dates, locations, sample depth, and snow depth are given in the data file. The data set consists of 42 snow samples, all of which were analyzed for major ion concentrations using ion chromatography at the University of Michigan. The inorganic ions measured, and their corresponding detection limits were: sodium (Na+; 6 μM), potassium (K+; 1 μM), magnesium (Mg2+; 0.05 μM), calcium (Ca2+; 0.1 μM), chloride (Cl-; 0.7 μM), sulfate (SO42-; 0.6 μM), bromide (Br-; 0.02 μM), and nitrate (NO3-; 0.08 μM).
DOI: 10.18739/a2qv3c418
title: Near-surface ice temperature measurements from Western Greenland, 2011-2017

description: This dataset contains time-series measurements of near-surface ice temperature taken from shallow boreholes in western Greenland. Understanding the coupling between an ice sheet and the climate is important for knowing the ice sheet's surface mass balance and its associated contribution to sea level rise. These measurements provide some insight on the thermodynamic coupling between the two systems. Curiously, measured ice temperatures are consistently warmer than the measured air temperature. Hills et al. (in review) explores several heat transfer mechanisms which could be associated with the warm anomaly in ice temperature. One possible explanation is subsurface refreezing of meltwater because, in several cases, rapid heating events were observed below 5-10 m of cold ice. However, these heating events were not observed in all temperature strings, so they cannot be considered ubiquitous in Greenland's ablation zone. Hills, B. H., Harper, J. T., Meierbachtol, T. W., Johnson, J. V., Humphrey, N. F., & Wright, P. J. (in review). Processes influencing near-surface heat transfer in Greenland's ablation zone. The Cryosphere Discussions.
DOI: 10.25345/c5m37s
title: MassIVE MSV000084351 - Proteomic analysis of brown rot wood decay fungus Fomitopsis pinicola grown on wood substrate
title: The brown rot wood decay fungus, Fomitopsis pinicola strain FP-58527, was cultivated for five dayes in media containing ground Populus tremuloides, Pinus taeda or Picea glauca wood as sole carbon source. Extracellular proteomic component was extracted and analyzed by LC-MS/MS.
DOI: 10.25739/5g44-hd65
title: Stomatal Microtubule Detection Dataset

description: The dataset is utilized for the application of methods detailed in the paper titled "Segmenting Tubular Structures in Biological Images via Geometry-Aware Stretching Active Curves". Microtubule (MT) images were collected with a Zeiss Axio Observer microscope attached to a Yokogawa CSU-X1 spinning disk head with a 100X objective (1.4 NA, oil immersion). MTs were visualized by tagging TUA5, a component of MTs, with mCherry, a red fluorescent protein. A 561-nm excitation laser and a 593/40 nm emission filter was used. Z-stack images were collected with a step size of 0.2 $\mu{m}$ in Z. To enhance the signal-to-noise ratio, images were first background subtracted and contrast enhanced in ImageJ. The Sliding Paraboloid algorithm with a rolling ball radius of 30 pixels was used for background subtraction. Saturated pixels were set to 0.4 percent for contrast enhancement.
DOI: 10.7910/dvn/0qj7f7/p8aruu
title: 2.1_VBAA_activities.tab

description: :unav
DOI: 10.7910/dvn/0qj7f7/z9mpze
title: 1.VBAA_details.tab

description: :unav
DOI: 10.21227/9fk1-b272
title: Process Models for evaluating Process Similarity Algorithms

description: In file folder “PNML” contains Petri Net models of three different special structures: concurrent, exclusive and loop. We use “c” to stand for concurrent structure, “e” to stand for exclusive structure and “l” to stand fir loop structure. We name the model as “structure abbreviation + number of branches on each special structure + count of special structures”. For example “e_4_5.pnml” is name for exclusive structure which has 5 exclusive substructures and there are 4 branches on each substructure.
DOI: 10.5281/zenodo.3266446
title: Alberta Municipal Water Supply Overview

description: This dataset contains information on the water source for municipalities in Alberta, Canada. The data was collected between September 2018 and September 2019.<br>
DOI: 10.5281/zenodo.3266447
title: Alberta Municipal Water Supply Overview

description: This dataset contains information on the water source for municipalities in Alberta, Canada. The data was collected between September 2018 and September 2019.<br>
DOI: 10.6085/aa/bckx00_xxxitbdxmsr00_20080101.40.2
title: (:unkn)
DOI: 10.6085/aa/bckx00_xxxitbdxmsr00_20080101.50.4
title: MARINe/PISCO: Intertidal: site temperature data: Bob Creek (BCKX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Bob Creek by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/eptx00_xxxitbdxmsr00_20080101.40.2
title: (:unkn)
DOI: 10.6085/aa/eptx00_xxxitbdxmsr00_20080101.50.4
title: MARINe/PISCO: Intertidal: site temperature data: Ecola (EPTX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Ecola by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.7910/dvn/0qj7f7/5wdxlq
title: 4.1_CommercialMaizeVarieties.tab

description: :unav
DOI: 10.7910/dvn/0qj7f7/7qjixc
title: 2.4_MaizeFieldDays1617.tab

description: :unav
DOI: 10.7910/dvn/0qj7f7/ctzrhs
title: 2.3_MaizeMotherDemos.tab

description: :unav
DOI: 10.7910/dvn/0qj7f7/ladh96
title: 3.3_BeanMotherDemosOther.tab

description: :unav
DOI: 10.7910/dvn/0qj7f7/nyr8s4
title: 3.1_BeanSmallSeedPacks.tab

description: :unav
DOI: 10.7910/dvn/0qj7f7/pljjf3
title: 3.4_BeanFieldDays1617.tab

description: :unav
DOI: 10.7910/dvn/0qj7f7/ro6wry
title: 3.2_BeanMotherDemosGeneral.tab

description: :unav
DOI: 10.7910/dvn/0qj7f7/yyob8h
title: 2.2_MaizeSmallSeedPacks.tab

description: :unav