cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5065/d6sj1hqk
title: ArcticRIMS: NCEP Reanalysis LongWaveDown Radiation, Aggregated by Administrative Regions, Version 1.0

description: This dataset contains NCEP Reanalysis LongWaveDown Radiation Data, Aggregated by Administrative Regions. Gridded daily time step data from Ohio State University based on National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis data, interpolated from the NCEP/NCAR grids (~209km) to the 25km Northern Hemisphere Equal-Area Scalable Earth Grid (EASE-Grid) using a bi-lagrange interpolation formula. As part of the data processing of Arctic Rapid Integrated Monitoring System (ArcticRIMS) based at the Water Systems Analysis Group (WSAG), University of New Hampshire all data sets have been aggregated to multiple temporal and spatial resolutions. The data is presented in 24 sub-datasets of different spatial and temporal aggregations.
DOI: 10.5065/d6rj4gk6
title: Ozone, NOx, and NOy measurements during OASIS Barrow field intensive Spring 2009, Version 1.0

description: A measurement intensive campaign was carried out in Barrow, Alaska in spring 2009 as part of the Ocean-Atmosphere-Sea-Ice-Snowpack program. This dataset contains Ozone, NOx, and NOy measurements from that campaign. The data files are ASCII text files under ZIP compression.
DOI: 10.5065/d6qj7fg8
title: Vegetation and Site Characterization, 1998-99 ATLAS Grid Transect, Northern Alaska, Version 1.0

description: This data set contains Vegetation and Site Characterization data from the 1998-99 ATLAS Grid Transect, Northern Alaska. This data set comprises the text and data presented in the data report "A western Alaskan transect to examine interactions of climate, substrate, vegetation, and spectral reflectance: ATLAS grids and transects, 1998-1999." The report is a compilation of data from two projects conducted on the North Slope of Alaska during the summers of 1998 and 1999. The first project involves environmental, climate, soil, vegetation, and remote-sensing data collected from 8 ATLAS (Arctic Transitions in the Land-Atmosphere System) grids established along a North-South transect from Barrow to Ivotuk, Alaska. The original purposes of the study were (1) to characterize the major zonal vegetation types found along the North Slope climate gradient, (2) to quantify differences between acidic and non-acidic tundra along the same gradient, and (3) to investigate relationships between plant biomass, Leaf Area Index (LAI), and Normalized Difference Vegetation Index (NDVI). This part also includes a brief analysis of interactions between plant functional type composition, LAI, NDVI, and summer temperature. This analysis is limited to moist acidic tundra (MAT) and moist non-acidic tundra (MNT) comparisons using data from six of the eight grids that best represent acidic and non-acidic mesic vegetation. The second project is an accuracy assessment of a Landsat MSS-derived landcover map of northern Alaska, which involved creating several large transects over northwest Alaska. Included here is a table of LAI measurements from eight random points along these transects, as well as the accompanying releve and site factor data sheets. No analysis of these data is presented.
DOI: 10.5065/d6v98660
title: ArcticRIMS: NCEP Reanalysis Temperature, Aggregated by Administrative Regions, Version 1.0

description: This dataset contains NCEP Reanalysis Temperature Data, Aggregated by Administrative Regions. Gridded daily time step data from Ohio State University based on National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis data, interpolated from the NCEP/NCAR grids (~209km) to the 25km Northern Hemisphere Equal-Area Scalable Earth Grid (EASE-Grid) using a bi-lagrange interpolation formula. As part of the data processing of Arctic Rapid Integrated Monitoring System (ArcticRIMS) based at the Water Systems Analysis Group (WSAG), University of New Hampshire all data sets have been aggregated to multiple temporal and spatial resolutions. The data is presented in 24 sub-datasets of different spatial and temporal aggregations.
DOI: 10.5065/d6z31ws3
title: ArcticRIMS: SSM/I Freeze Thaw 5-day Composites, Version 1.0

description: 5-day composites of Special Sensor Microwave/Imager (SSM/I) Freeze Thaw data. The data is presented in 24 sub-datasets of different spatial and temporal aggregations.
DOI: 10.21227/cvb3-y889
title: Wearable RGB Camera Images of Human Locomotion Environments

description: Drawing inspiration from autonomous vehicles, using future environment information could improve the control of wearable biomechatronic devices for assisting human locomotion. To the authors knowledge, this research represents the first documented investigation using machine vision and deep convolutional neural networks for environment recognition to support the predictive control of robotic lower-limb prostheses and exoskeletons. One participant was instrumented with a battery-powered, chest-mounted RGB camera system. Approximately 10 hours of video footage were experimentally collected while ambulating throughout unknown outdoor and indoor environments. The sampled images were preprocessed and individually labelled. A deep convolutional neural network was developed and trained to automatically recognize three walking environments: level-ground, incline staircases, and decline staircases. The environment recognition system achieved 94.85% overall image classification accuracy. Extending these preliminary findings, future research should incorporate other environment classes (e.g., incline ramps) and integrate the environment recognition system with electromechanical sensors and/or surface electromyography for automated locomotion mode recognition. The challenges associated with implementing deep learning on wearable biomechatronic devices are discussed.Reference: Laschowski B, McNally W, McPhee J, and Wong A. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics, pp. 868-873. DOI: 10.1109/ICORR.2019.8779540.
DOI: 10.6084/m9.figshare.678328.v26
title: About "Categories and Sheaves" (tex)
DOI: 10.6084/m9.figshare.660857.v2
title: Construction of Achievement Motivation Scale
DOI: 10.5065/d6b27sd8
title: Albedo of ice types in northeast Greenland's ablation zone, Version 1.0

description: Ice types, albedos and impurity content are characterized for the ablation zone of the Greenland ice sheet in Kronprinz Christians Land (808 N, 248 W). Along this ice margin the width of the ablation zone is only about 8 km. The emergence and melting of old ice in the ablation zone creates a surface layer of dust that was originally deposited with snowfall high on the ice sheet. This debris cover is augmented by locally derived wind-blown sediment. Subsequently, the surface dust particles often aggregate together to form centimetre-scale clumps that melt into the ice, creating cryoconite holes. The debris in the cryoconite holes becomes hidden from sunlight, raising the area-averaged albedo relative to surfaces with uniform debris cover. Spectral and broadband albedos were obtained for snow, ice hummocks, debris-covered ice, cryoconite-studded ice and barren tundra surfaces. Broadband ice albedos varied from 0.2 (for ice with heavy loading of uniform debris) to 0.6 (for ice hummocks with cryoconite holes). The cryoconite material itself has albedo 0.1 when wet.
DOI: 10.5065/d6ft8j4p
title: Chick diets of little auks (Alle alle) in Hornsund Fjord, Spitsbergen, Version 1.0

description: This dataset includes the abundance, biomass, and energetic content of zooplankton in chick meals taken from the gular pouch of provisioning adult little auks in Hornsund Fjord, southwest Spitsbergen in July 2001-2008. Data is contained in a single Excel file.
DOI: 10.5065/d6vt1q6q
title: Geochemical analyses of Icelandic tephra preserved in lake sediments, Version 1.0

description: This data set contains major element geochemical analyses of tephra grains isolated from lake sediment recovered in continuous cores from lakes in Iceland, Svalbard, Arctic Canada, and from marine sediment cores from Greenland and Iceland.
DOI: 10.5065/d6tx3cgn
title: Soil Properties of Carbon-Flux Monitoring Sites in Northwestern Alaska, Version 1.0

description: This data set includes basic soils data collected in summer 1995 for ten Arctic System Science/Land-Atmosphere-Ice Interaction (ARCSS/LAII) carbon-flux monitoring sites, and several related sites, in northwestern Alaska. Soil profile descriptions, soil carbon data (including carbon quantity, quality, and distribution), soil bulk densities, and soil water content data are provided for each site.
DOI: 10.5065/d62b8w4k
title: Toolik Snowfence Experiment: 1994-2002 Active Layer Depth, Version 1.0

description: This data set contains active layer data collected for the Toolik Snowfence Experiment from 1994 to 2002. The Toolik Snowfence Experiment (part of the International Tundra Experiment network) examines the short- and long-term effects of increased snow depth (shortened growing season) and increased summer temperature on arctic tundra vegetation. The goal of this project is to assess potential changes in tundra plant communities in response to global climate change. The research project was funded by the following Arctic System Sciences (ARCSS) Program grants:  1994 - 1998: OPP-9400083 -- ITEX / Comparative Responses of Moist and Dry Arctic Tundra to Altered Snow and Temperature Regimes  1999 - 2003: OPP-9907127 -- ITEX / Collaborative Research: Species Responses to Changes in Climate Across Arctic Gradients Using the North American ITEX Network (NATEX): Influences On Community and Ecosystem Processes  1999 - 2003: OPP-9996383 -- ITEX / Comparative Responses of Moist and Dry Arctic Tundra to Altered Snow and Temperature Regimes
DOI: 10.5065/d6xp731j
title: ArcticRIMS: Daily Precipitation From Statistical Reconstructions , Aggregated by Administrative Regions, Version 1.0

description: Providing rapid updates of gridded precipitation fields is difficult due to the degradation of the station network. Starting about 1990, many stations in the Former Soviet Union (FSU) and Canada closed. Canada is also seeing a trend toward automation. In recognition, we are providing updated fields using statistical techniques. This reconstruction technique has also been used to compile fields back to 1980 to provide a period of overlap with gridded fields based on interpolation of monthly station precipitation and daily disaggregation (see DAILY PRECIPITATION, FROM MONTHLY STATION RECORDS AND DISAGGREGATION). The reconstructions employ a four-step approach. As part of the data processing of Arctic Rapid Integrated Monitoring System (ArcticRIMS) based at the Water Systems Analysis Group (WSAG), University of New Hampshire all data sets have been aggregated by administrative regions and to multiple temporal and spatial resolutions. The data are presented in 24 sub-datasets of different spatial and temporal aggregations.
DOI: 10.6084/m9.figshare.692920.v1
title: REMOTE SENSING AND GIS BASE CROP ACREAGE ESTIMATION OF THE SUGARCANE FOR SOLAPUR DISTRICT, MAHARASHTRA
DOI: 10.5065/d6p55kmv
title: ArcticRIMS: Daily Thaw Depth And Frozen Ground Depth, Based on ERA-40 2-meter, Aggregated by Administrative Regions, Version 1.0

description: Daily thaw depth and frozen ground depth are calculated using a frozen ground model. Oelke et al. [2004] provide details, while also referring to [Oelke et al., 2003]. Thaw depth and frozen ground are calculated using different initial model settings. In the first case, all soil down to the lower model boundary is set to sub-freezing initial temperatures. Thawing during the summer months caused the development of a thawed layer at the top with the thaw depth again decreasing during freeze-up of the thawed layer in fall. Frozen ground depth on the other hand is calculated with soil temperatures at all depths above-freezing at the beginning. Here the frozen depth increased during winter, and spring thawing eventually decreases its value. The data are presented in 24 sub-datasets of different spatial and temporal aggregations.
DOI: 10.5065/d6gf0rmx
title: Global Snow-Water-Equivalent Depth Coefficient-of-Variation Classification, Version 1.0

description: This data set provides a global distribution of nine subgrid snow-depth-variability categories and a coefficient of variation applicable to each category, as the result of the Subgrid SNOW Distribution (SSNOWD) submodel that defines subgrid snow-depth and snow-cover variability. This data set provides the distribution of those nine categories and their coefficient-of-variation values on a global, 2.5 arc-min latitude-longitude (approximately 5-km) grid. The time period covered is 1 January 1994 through 1 January 2004. The SSNOWD submodel was formulated to improve the depiction of autumn through spring land-atmosphere interactions and feedbacks within global weather, climate, and hydrologic models. From both atmospheric and hydrologic perspectives, the subgrid snow-depth distribution is an important quantity to account for within large-scale models. In the natural system, these subgrid snow-depth distributions are largely responsible for the mosaic of snow-covered and snow-free areas that develop as the snow melts, and the impacts of these fractional areas must be quantified in order to realistically simulate grid-averaged surface fluxes. SSNOWD's formulation incorporates observational studies showing that snow distributions can be described by a lognormal distribution and the snow-depth coefficient-of-variation (CV). Using an understanding of the physical processes that lead to these observed snow-depth variations, a global distribution of nine subgrid snow-depth-variability categories was developed, and coefficient-of-variation values were assigned to each category based on published measurements. Data are in binary format.
DOI: 10.5065/d63776vm
title: Thaw Depth, Toolik Lake, Alaska, 1995 and 1996, Version 1.0

description: Thaw depths were measured at the Toolik Lake Field Station during the summers of 1995 and 1996. Measurements were made on control plots, plots from which snow was removed, and plots from which snow was removed before the installation of heating cables at 10-cm depth. Plots with heating cables were heated two hours per day. Thaw depths were measured at tussock and intertussock sites within each plot using a steel probe. Data are available in ASCII and MS Excel formats.
DOI: 10.5065/d6k64g68
title: Chemical and Isotopic Tracers from the Arctic Ocean, Version 1.0

description: This dataset contains Chemical and Isotopic Tracers from the Arctic Ocean. These data are water column and sediment data tabulated in Microsoft Excel spreadsheets. They were largely collected in the Bering and Chukchi Seas, with some coverage for the Beaufort and East Siberian Seas, and with limited coverage for other portions of the Arctic Ocean. Data include that collected on Alpha Helix cruises 139, 165, 166, 174, 189, 190, 214, and 224 between 1990 and 1999. Other data were obtained from cruises of the RV OKEAN (1993), USCGC Polar Star (1993), Mendeleev (1993), USCGC Polar Sea (2000), U.S. Canada Arctic Ocean Section (1994), and Polarstern (1993). Water column data include coverage from some to most stations on these cruises, and include bottle salinity, temperature, sigma-t, oxygen-18/16 ratios, phosphate, ammonia, silicate, nitrate, dissolved oxygen, iodine-129 concentrations, and chlorophyll a. Sediment data include plutonium and neptunium concentrations, including isotope data. Biological data include radionuclide burdens in marine mammal tissues donated by subsistence hunters on the North Slope of Alaska and in the Resolute region of Canada. The readme files include reference to published use of these data, as well as additional information on interpreting data columns and spreadsheet construction. Additional biological and chemical data are being prepared for distribution at this site, and will be available in the near future.
DOI: 10.5065/d6sq8xh7
title: Meteorological and Hydrographic Data, Kuparuk River Watershed, Version 1.0

description: The data files in this data set contain climate and hydrographic information from sites on the North Slope of Alaska. The variables collected were temperature, humidity, wind speed and direction, soil heat flux and temperature, snow temperature, precipitation, snow pack water equivalent, and Imnavait Creek discharge rates (meters cubed per second). NOTE: Updates and corrections were made to the data by the investigators, and all of the data files were replaced on 26 September 2008.
DOI: 10.5065/d6dj5crg
title: Data Correlating the Shallow GISP2 Dust Profile with the Wolf Sunspot Number Series, Version 1.0

description: These data were collected for a research project that utilized the Greenland Ice Sheet Project Two (GISP2) ice core. The project sought evidence of an 11-year sunspot cycle and whether the cycle correlated with dust that had been transported by global atmospheric circulation to the summit of Greenland and incorporated into the ice sheet. The dust profile was measured along the top 120 m of the GISP2 B-core using laser-light scattering (LLS) from meltwater. The profile has been dated using the established B-core depth-age scale and ranges from 1597 to 1988 A.D. It contains an average of 13 samples per year. There are significant gaps from 1698 to 1711 and from 1719 to 1727 A.D. where the ice was previously heavily sampled and therefore unavailable for analysis. Based on previous evidence that the GISP2 deep (&gt;1600 m) dust profile contains solar-type variability, investigators correlated the shallow dust profile with the Wolf Sunspot Number (SSN) series. The period under investigation ranges from 1752 to 1988 A.D. This research project was funded by the Arctic System Sciences (ARCSS) Program, grant number OPP-9711609.
DOI: 10.5065/d6j964g6
title: North Pole Environmental Observatory (NPEO) PMEL/CRREL Ice Temperature and Mass Balance Buoy Data, Version 1.0

description: This data set contains ice temperature and mass balance data from drifting ice buoys near the North Pole in the Central Basin of the Arctic Ocean. Buoys were deployed each April by the Pacific Marine Environmental Laboratory (PMEL) and the Cold Regions Research and Engineering Laboratory (CRREL). The buoys drifted with the ice pack, and data were collected via satellite transmissions. Ice temperature data were collected year-round at 10 cm depth intervals twice daily, every twelve hours. Data are in tab-delimited ASCII text format.
DOI: 10.5065/d68s4n2m
title: Lena River ADCP Transects, Version 1.0

description: This data set consists of Acoustic Doppler Current Profiler (ADCP) transect stream sampling of the Lena River taken from the Moskovskii-11 hydrographic survey vessel. A vessel-mounted 1200-kHz RDI Workhorse Sentinel ADCP was used to collect the data from a hydrographic launch deployed from the Moskovski-11 River Vessel. The data were recorded using WinRiver software. This software is available for download from Teledyne RD Instruments (link below) to read the raw binary data files. A list of cruises with dates and lat/lons is included in the cruises.txt file. These data are part of a larger examination of the effects of anthropogenic activity and global warming on freshwater and organic carbon input to the Arctic Ocean from the Lena River for the last 50-150 years, under National Science Foundation (NSF) award #0229737.
DOI: 10.5065/d6n29v25
title: Elevated Soil Temperature and Water Table Manipulation Data from Barrow, Alaska, 1999-2001, Version 1.0

description: This data set contains elevated soil temperature and water table manipulation measurements taken at a tundra site near Barrow, Alaska, USA. Eighteen 60-cm diameter polycarbonate cylinders were installed into the ground at the end of the 1998 growing season when thaw depth was at its seasonal maximum to isolate plots of tundra. The cylinders were organized into three blocks of six for three replicates of the six treatments to be tested. The six factors tested include: control, elevated water table, lowered water table, elevated soil temperature, elevated soil temperature and elevated water table, and elevated soil temperature and lowered water table. Temperature data were collected from June 1999, until September 2001. Measurements were taken as part of the Land-Atmosphere-Ice Interactions Arctic Transitions in the Land-Atmosphere System (LAII-ATLAS) program. The research project was funded by the Arctic System Sciences (ARCSS) Program, grant number OPP-9732105.
DOI: 10.6084/m9.figshare.679999.v1
title: Harnessing Disagreement for Event Semantics
DOI: 10.5065/d6qv3jnb
title: Canadian Rivers Data Set, Version 1.0

description: This data set contains daily river discharge rates for 20 rivers, and depth for one river, in Arctic Canada between 1943 and 1989. The data were obtained from Environment Canada, Water Resources Branch.
DOI: 10.5065/d6k35rsj
title: Gridded ERA-40 Reanalysis Data for Western Arctic Linkage Experiment, Version 1.0

description: This data set includes monthly-mean air temperature and precipitation data for areas in Alaska and northwestern Canada, between 55*deg*N and 65*deg*N, and 160*deg*W and 110*deg*W. The data are from the ECMWF Re-Analysis (ERA-40) data set and are converted to the 25 km EASE-Grid over the study area. Data coverage is from 1990 through 2001. The data consist of X binary file downloads, containing monthly gridded output in EASE-Grid format. These data are archived at the Western Arctic Linkage Experiment (WALE) Web site.
DOI: 10.5065/d6pv6hhz
title: Trophic Mismatch and Its Consequences for Dynamics of an Arctic Herbivore, Version 1.0

description: Species specific records of plant emergence and life-history phases (flower set, bloom, fruit-set) were collected at near daily intervals from 12 long term monitoring plots from 2008 - 2011. Concurrently, a ratio of calves to adult females was calculated for caribou observed within and around the study area.
DOI: 10.5065/d6nv9gck
title: Historical Sea Ice Time Series from the Atlantic Arctic, Version 1.0

description: The Historical Sea Ice Time Series from the Atlantic Arctic data collection is a compilation of existing century-scale time series derived from historical observations and sea ice charts from a range of sources. The purpose of the dataset is to provide a convenient compilation and consistent description of these data that are published, though scattered. Provided here are various indices of sea-ice conditions, ranging from estimated sea-ice extent, sea-ice edge, sea-ice export and sea-ice incidence (duration). The original time series were constructed by individual researchers using various sources ranging from historical ice charts to annals and other descriptive information. Spatially, the data span the Atlantic Arctic from Newfoundland to the Barents and Baltic Seas. Temporally, the time series range from approximately one to three centuries.
DOI: 10.5065/d6sn073v
title: ArcticRIMS: NCEP Reanalysis Wind Direction, Aggregated by Administrative Regions, Version 1.0

description: This dataset contains NCEP Reanalysis Wind Direction Data, Aggregated by Administrative Regions. Gridded daily time step data from Ohio State University based on National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis data, interpolated from the NCEP/NCAR grids (~209km) to the 25km Northern Hemisphere Equal-Area Scalable Earth Grid (EASE-Grid) using a bi-lagrange interpolation formula. As part of the data processing of Arctic Rapid Integrated Monitoring System (ArcticRIMS) based at the Water Systems Analysis Group (WSAG), University of New Hampshire all data sets have been aggregated to multiple temporal and spatial resolutions. The data is presented in 24 sub-datasets of different spatial and temporal aggregations.