cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5065/d6154f53
title: Radar Profiles and GPS Surveys, Black Rapids Glacier, Alaska, Version 1.0

description: This data set contains radio echo-sounding profiles. These profiles were collected across the upper section of the Black Rapids Glacier, Alaska and were used to define the spatial pattern of ice thickness for this section. Surface topography was determined primarily from kinematic GPS surveys supplemented by the pressure record from the radar profiles. The data were collected from May 15, 1993 through July 15, 1993. The data files are plain ASCII text files exported from Matlab, packaged in a single ZIP file for delivery.
DOI: 10.5065/d64t6ggs
title: Arctic Ocean Barium Concentrations, 1993, Version 1.0

description: This data set includes measurements of barium concentrations in samples collected during five oceanographic cruises in the Arctic Ocean in 1993. Investigators collected water samples with Niskin, 10-L BIO, and high-density polyethylene (HDPE) bottles. Barium concentrations were determined in the laboratory using isotope-dilution inductively coupled plasma quadrupole mass spectrometry. For detailed information about each cruise, refer to the documentation that accompanies the data files.
DOI: 10.5065/d6db7zxf
title: VOC 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 Volatile Organic Compounds (VOCs) measured using the Trace Organic Gas Analyzer (TOGA) during the campaign.
DOI: 10.5065/d6cc0xsm
title: Daily Air and Active Layer Temperatures From Permafrost Observatories in Alaska, 1986-2001, Version 1.0

description: This data set contains air and soil temperatures collected from eight sites in Alaska between 1986 and 2001. The data were obtained by remote, battery-powered, computer-controlled automatic temperature loggers. Temperatures recorded were usually in the air, at the ground surface, in the active layer, at the permafrost table, and in the permafrost. The research project was funded by the Arctic System Sciences (ARCSS) Program, grant number OPP-9531220.
DOI: 10.5065/d6rn360x
title: SCICEX Dissolved Barium Data, 1993-1997, Version 1.0

description: This dataset contains The Scientific Ice Expeditions (SCICEX) dissolved barium data compiled from water samples collected between 26 August 1993 and 2 October 1997 from nuclear submarines in the interior basins of the Arctic Ocean. Water samples were collected by four nuclear submarines: the USS Pargo in 1993, the USS Cavalla in 1995, the USS Pogy in 1996, and the USS Archerfish in 1997. The samples were collected into high-density polyethylene (HDPE) bottles and analyzed in the laboratory. For detailed information about each SCICEX cruise and science mission, refer to the documentation that accompanies the data files.
DOI: 10.5065/d6g44ndd
title: TOVS Polar Pathfinder (Path-P) Derived Arctic Winds, Version 1.0

description: The TIROS-N Operational Vertical Sounder (TOVS) Polar Pathfinder (Path-P) derived wind dataset consists of gridded daily wind fields north of 60 degrees latitude. The dataset is gridded at 100km spatial resolution on an Equal-Area Scalable Earth Grid (EASE-Grid). Daily Northern Hemisphere data are available from July 1979 through December 2005. The dataset is derived from TOVS Path-P temperature profiles, combined with the National Centers for Environmental Prediction (NCEP) Reanalysis-1 10m winds and surface pressure. The dataset was derived based on the method described in Zou and Van Woert (2002) for the Antarctic and extended to the Arctic region in Francis et al. (2005). The wind vector is calculated for 7 levels at each grid point using the standard thermal wind equation, TOVS temperature profiles and the NCEP 10m winds. The data is further corrected using a Lagrange Multiplier approach subject to a mass conservation constraint appropriate for the pole. The dataset was derived at the Institute for Marine and Coastal Sciences at Rutgers University in New Brunswick, NJ. It includes NCEP 10m winds (corrected) and surface pressure linearly interpolated to the EASE grid, as well as derived wind data at 7 levels.
DOI: 10.5065/d6z60m5c
title: ArcticRIMS: NCEP Reanalysis Maximum Temperature, Aggregated by Administrative Regions, Version 1.0

description: This dataset contains NCEP Reanalysis Maximum 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/d69g5jx5
title: Global Seasonal Snow Classification System, Version 1.0

description: The data file defines a global seasonal snow classification system. Based on the physical properties of the snow (depth, density, thermal conductivity, number of layers, degree of wetting, etc.), the world's seasonal snow covers were divided into six classes, plus classes for water and ice fields. Each class was defined by its physical properties, then empirically related to climate using three variables (precipitation, wind, and air temperature). A vegetation proxy was used for wind data: tall vegetation equals low wind, short vegetation equals high wind. The snow classification data are formatted into an array of integers, each value representing a 0.5-degree latitude by 0.5-degree longitude cell. The data set was developed and tested for the Northern Hemisphere. Results for the Southern Hemisphere are untested and have not been evaluated. The Southern Hemisphere suffers from a reduced density of meteorological data which may well have influenced the quality of the snow classification in that area. Also note that much of Antarctica is inappropriately defined as water (the vegetation data set did not extend that far south). A 0.5- x 0.5-degree land-sea mask could be used to set the Antarctica region to the ice classification if this region is of interest. National Snow and Ice Data Center (NSIDC) has created a land/ocean mask from the original (updated) Global Ecosystem map (see Related links) used in the derivation of the snow classification. The mask may be used to set the land mass of Antarctica to ice, as described above, altering the data set as submitted.
DOI: 10.5065/d6pn93qr
title: Biocomplexity of Patterned Ground: Dalton Highway, Version 1.0

description: The Biocomplexity project studies small patterned-ground ecosystems along the Arctic bioclimate gradient in North America. Various types of patterned-ground formations are found in the Arctic. These are a significant component of nearly all Arctic landscapes. Although these features have been studied by geomorphologists, their role in ecosystems has been largely unstudied. The project focuses on how climate influences the interactions between vegetation, soils, and patterned ground formation in order to better understand how climate change might affect these systems.
DOI: 10.5065/d6sf2t98
title: Paleoenvironment, Geomorphic Processes, and Carbon Stocks of Drained Thaw-lake Basins in the Arctic Coastal Plain, Alaska, USA, 2002-2005, Version 1.0

description: These data are from a study of the origin and associated geomorphological, ecological, and pedological processes of thaw-lake basins of the Arctic Coastal Plain, Alaska. The research utilized high-resolution multispectral satellite data, ground-penetrating radar, and extensive coring to estimate the amount of carbon sequestered in the drained basins. Investigators used radiometric dating, microfossil analysis, and soil development to determine whether carbon accumulation rates respond to regional changes in climate, or if they are influenced by local rates of plant succession. Investigators reported depths, adjusted depths, radiocarbon dates, calibrated radiocarbon dates, pollen, microfossils, soil bulk density, total organic carbon (TOC), and other descriptive statistics from the spring and summer seasons of April 2002 through April 2005. Data are in Microsoft Excel, Microsoft Word, TIFF, JPEG, and ArcView Shapefile formats.
DOI: 10.5065/d6w66hw6
title: Observed and naturalized discharge data for large Siberian rivers, Version 1.0

description: The data set includes two types of discharge data: 1) observed daily discharge values compiled in the State Hydrological Institute, Russia from official sources and 2) modeled "naturalized" daily discharge. The "naturalized" discharge means discharge values with excluded human impact. The data can be used in hydro-climatological analysis to understand interactions between climate and hydrology. A specially developed Hydrograph Transformation Model (HTM) was used to eliminate effects of reservoirs and other human impact from discharge records. These data are formatted as text documents.
DOI: 10.5065/d6c827fk
title: Arctic Cyclone Track Data Set, 1966-1993, Version 1.0

description: This data set comprises a 28-year record (1 May 1966 through 31 December 1993) of twice-daily extra tropical cyclone statistics for the Northern Hemisphere. Data were obtained from application of the updated Serreze (1995) algorithm to National Meteorological Center (NMC) sea level pressure (SLP) fields for the 47x51 octagonal grid. The data set includes the position and central pressure of each cyclone, whether the observation represents a cyclogenesis or cyclolysis event (from the first and last observation of each system), and the local Laplacian (105 mb m-2) and sea level pressure tendency (SLPT) (mb (12h-1)) at each cyclone center.
DOI: 10.5065/d62r3psv
title: Model Output from the Arctic Region Climate System Model, Version 1.0

description: The Arctic Region Climate System Model (ARCSyM) provides output data to study ocean-ice-atmosphere and land-atmosphere interactions at high latitudes, at horizontal resolutions ranging from seven kilometers to 100 kilometers. Model data specifically cover Alaska, the Arctic Basin, and Antarctica. The ARCSyM model was first developed from the National Center for Atmospheric Research (NCAR) Regional Climate Model (RegCM2) (Giorgi et al 1993). It was adapted for the Arctic by the addition of coupled sea ice and mixed layer ocean models, ice phase moisture physics, and a new longwave radiative transfer scheme. In the arctic version, the original Land Surface Model (LSM) was replaced by the NCAR LSM and new arctic vegetation types were introduced. The model can be initialized and forced at the lateral boundaries by observational analyses or General Climate Model (GCM) output and develops its own climate within the specified model domain. Lateral boundary conditions include temperature, wind, moisture, sea level pressure and pressure heights.
DOI: 10.5065/d698854c
title: Canadian Archipelago Throughflow Study, Version 1.0

description: This dataset is part of the Canadian Archipelago Throughflow Study (CATS), a coordinated, multi-investigator program whose goal is to understand and estimate flow through the main passages of the Canadian Archipelago, including Nares Strait and Jones Sound, Barrow Strait, the downstream flow through Davis Strait and circulation and water-mass properties in the upstream Arctic source region. This freshwater export can have global implications, as it enters the North Atlantic precisely in the regions where deep North Atlantic waters are formed, in the Nordic and Labrador Seas. During 2003-06, The Canadian Archipelago Throughflow Study, as a part of the Arctic Sub-Arctic Ocean Flux (ASOF) experiment, deployed an array of ocean-sensing instruments at 80.5N latitude to investigate the flux of seawater from the Arctic Ocean via Nares Strait, the pathway to the west of Greenland. Additionally, data was gathered from a Healy cruise through the region. This data set contains Acoustic Doppler Current Profiler (ADCP) and conductivity-temperature-depth (CTD) data from both the United States Coast Guard Cutter HEALY (USCGC Healy) and moorings in the Nares Strait. Healy data is from the 2003 July cruise. Mooring data covers 2003-2006. All data files are ASCII text with detailed header information. All documentation files are PDF.
DOI: 10.5065/d6d21vqg
title: Biocomplexity of Frost-boil Ecosystems: Banks Island, Version 1.0

description: This data report summarizes information collected during July 2003 near Green Cabin, northern Banks Island, Canada as part of the National Science Foundation (NSF) sponsored "Biocomplexity of Frostboil Ecosystems" project. It also includes information about a half-day visit to Mould Bay on Prince Patrick Island (2 July 2003).
DOI: 10.5065/d6gt5k9h
title: GIS Data from the Alaska North Slope, Version 1.0

description: This data set includes ArcInfo-formatted maps of the Kuparuk River Basin Region of the Alaskan North Slope (at 1:250,000 scale) and five subset study areas: the Upper Kuparuk River Basin Subregion (1:25,000), the Imnavait Creek Landscape (1:6,000), the Toolik Lake Landscape (1:5,000), the Imnavait Creek Grid (1:500), and the Toolik Lake Grid (1:500). Land cover (satellite-derived) and elevation data (United States Geological Survey digital elevation model (USGS DEM-derived)) are provided for the Kuparuk River Basin Region. For the five subset areas, an integrated terrain unit mapping (ITUM) approach simultaneously mapped vegetation and other terrain features as interpreted in the field from a common aerial-photograph base. The result is a single ITUM map for each area, including vegetation, geomorphology, glacial geology, and many other features. Various supplemental maps (e.g., hydrologic features and roads) for each of the areas are available for use as overlays. Data is only available as a single tar.gz file containing all of the files.
DOI: 10.5065/d6rb72rj
title: Soil Temperatures, Toolik Lake, Alaska, 1995 and 1996, Version 1.0

description: Soil temperatures 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. Soil temperatures were recorded once per minute using a Campbell 21X micrologger measuring a thermocouple located at 5-cm soil depth in an intertussock area within each plot. Data are available in ASCII and MS Excel formats.
DOI: 10.5065/d6qc01mq
title: Search Coil Magnetometer Array Data on Svalbard, Version 1.0

description: Two-axis search coil magnetometers sample the horizontal components of Earths magnetic field at four sites on Svalbard. Norway at a rate of 10 s/sec. These data record ultra-low-frequency (ULF) oscillations in the Earth's space environment that are generated as a result of interactions and instabilities in the plasmas in the overhead ionosphere and magnetosphere. Note: Data have been added as of 19 December 2011.
DOI: 10.5065/d6v40sb2
title: ArcticRIMS: NCEP Reanalysis Vapor Pressure, Version 1.0

description: This dataset contains NCEP Reanalysis Vapor Pressure data. Gridded daily time step data from Ohio State University based on National Centers for Environmental Prediction/National Center for Atmospheric Research (National Centers for Environmental Prediction (NCEP)/NCAR) reanalysis data, interpolated from the National Centers for Environmental Prediction (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: 10.6084/m9.figshare.663571.v1
title: THE STUDY OF CONSUMER'S PERSPECTIVE ABOUT INTERNET BANKING:  EMPIRICAL EVIDENCE FROM WESTERN MAHARASHTRA
DOI: 10.6084/m9.figshare.656758.v1
title: A DAY IN AMOLAPAM ACTION RESEARCH PROJECT ON UNDERSTANDING LIVELIHOOD PATTERN IN A VILLAGE
DOI: 10.5065/d6vx0dng
title: Terrain and Vegetation of Toolik Lake, AK: Permanent Plots, Version 1.0

description: This data set is a summary of environmental, soil, and vegetation information collected from 81 study plots at the Toolik Lake research site in northern Alaska. Data include site factors, soil classification, description, and physical and chemical properties, as well as plant species cover. Investigators examined typical and characteristic vegetation communities of the area around Toolik Lake.
DOI: 10.5065/d6gq6vws
title: Sea Ice Melt Ponds: LiDAR Scanning Data, Version 1.0

description: High resolution terrestrial Light Detection and Ranging (LiDAR) scans were repeatedly collected using a Riegl LMS- Z420i scanner, from 5 different platforms affixed to the ice, two to the south of the field, and 3 along the transect line to its north. All data is registered together to produce a single point cloud of the surface using a number of reflectors situated around the site.
DOI: 10.5065/d6r49nxh
title: ArcticRIMS: NCEP Reanalysis Wind Direction, Version 1.0

description: This dataset contains NCEP Reanalysis Wind Direction data. 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/d6765cgw
title: Chukchi Sea Hydrographic (CTD) Data from the R.V. Alpha Helix Cruise, September 1996, Version 1.0

description: In an international collaborative effort, Japanese, Russian, and U.S. scientists collected hydrographic Conductivity, Temperature, Depth (CTD) samples in the Chukchi Sea north of the Bering Strait during the R.V. Alpha Helix cruise between 31 August and 27 September 1996. The CTD data were converted from the format used by the Institute for Marine Studies, University of Alaska Fairbanks, to standard Sea-Bird format. The data collection contains values for water depth, pressure, temperature, potential temperature, conductivity, salinity, sigma-t, sigma-theta, fluorescence, transmissometer output, oxygen probe O2 concentrations, geopotential anomaly, dynamic height, specific volume anomaly, and buoyancy.
DOI: 10.5065/d6zp447t
title: Chick growth rates of little auks (alle alle) at Hornsund Fjord, Spitsbergen, Version 1.0

description: This dataset includes Weight-at-Age for little auk chicks in Hornsund Fjord, southwest Spitsbergen during the breeding season (July-August) in 2001 and 2005-2008. Data are included in a single Excel file.
DOI: 10.5065/d6kh0kgp
title: ArcticRIMS: 2m Air Temperature From ERA-40 Re-Analysis , Aggregated by Administrative Regions, Version 1.0

description: This data set provides estimates of daily mean two meter air temperature from the European Center for Medium Range Weather Forecasts (ECMWF) ERA-40 Reanalysis (ECMWF 2002). Data cover the period 1 January 1979 to 31 August 2002. Data were obtained from the National Center for Atmospheric Research (NCAR) Data Support Section, dataset ds117.0 (). Two meter temperatures are archived as 6 hour mean values. Daily means were computed from these values. Data were regridded from the native N80 (roughly 1 degree resolution) reduced Gaussian grid to the Equal-Area Scalable Earth (EASE) 25km grid using a bilinear interpolation scheme. This scheme is described in ECMWF [2003]. The ERA-40 system assimilates available surface temperature observations. Fields should therefore be superior to those from the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) Equal-Area Scalable Earth Grid (EASE-Grid) re-analysis, in which there is no assimilation of surface temperature data. The data is presented in 24 sub-datasets of different spatial and temporal aggregations.
DOI: 10.5065/d6jh3jb9
title: Nitrate and Conductivity Data from the GISP H Core, Version 1.0

description: This data set contains nitrate and conductivity measurements taken from the Greenland Summit Ice Sheet Project (GISP) H core. GISP was a decade-long project during the 1970s and early 1980s to study the climatic record stored in ice sheets, and involved scientists and funding agencies from Denmark, Switzerland and the United States. Nitrate and electrical conductivity measurements aid in the dating of ice cores by providing information about past volcanic eruptions and climate change. This data set involves a total of 7776 individual analyses from the surface of the core to a depth of 122 meters. The analyses were performed simultaneously on the same 1.5 cm ice core sample for each data series.
DOI: 10.5065/d6xp7320
title: Barium Concentrations and Salinity in Arctic River Estuaries, 1993-1996, Version 1.0

description: This data set includes measurements of barium concentrations and salinity in samples collected from the estuaries of major Arctic rivers and adjacent shelf areas during 1993 to 1996. Investigators used Niskin bottles to collect water samples. The same samples were used to determine both barium concentrations and salinity. Barium concentrations were determined using isotope-dilution inductively coupled plasma quadrupole mass spectrometry. Salinities were calculated using a laboratory salinometer.
DOI: 10.5065/d61g0jd2
title: Barrow Area Remote Sensing - BAID Be Research Sites, Version 1.0

description: This dataset contains GIS shape files in a single zip file. Data are remote sensing sites of the Barrow Area Information Database (BAID).
DOI: 10.21227/f107-f215
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Abstract: Recent advances in computer vision and artificial intelligence have allowed researchers to develop environment recognition systems for robotic lower-limb exoskeletons and prostheses. However, small-scale and private training datasets have impeded the widespread development and dissemination of image classification algorithms for human locomotion environment recognition. To address these shortcomings, we developed “ExoNet” - the first open-source, large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in both scale and diversity, ExoNet comprises over 5.6 million images of different indoor and outdoor real-world walking environments, which were collected using a lightweight wearable smartphone camera system during the summer, fall, and winter seasons. Approximately 940,000 images in ExoNet were human-annotated using a 12-class hierarchical labelling architecture. Available publicly through IEEE DataPort, ExoNet offers an unprecedented community-based platform to train, develop, and compare next-generation image classification algorithms for human locomotion environment recognition. Beyond the control of lower-limb exoskeletons and prostheses, applications of ExoNet extend to humanoid and autonomous legged robotics.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. In Preparation.