cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a26w9692w
title: Bering Strait Mooring Data - summer 2005 to summer 2006

description: Insitu, year-round data from subsurface moorings deployed in the eastern (US) channel of the Bering Strait from summer 2005 - summer 2006 (3 moorings). Moorings recorded lower layer water velocity, temperature and salinity ~ hourly. Some instruments also recorded fluorescence and turbidity. One upward looking Acoustic Data Current Profiler (ADCP) recorded water velocity at different levels in the east of the channel (i.e., in the Alaskan Coastal Current) and some measure of ice velocity and ice thickness. For full details, see Readme file below. Data are available via our website (Data Access link below) and from National Oceanographic Data Center (NODC) (related data link below). These deployments are part of 1-year NSF grant, PI R. Woodgate. Related data sets include concurrent mooring measurements in the other channel of the strait, various conductivity temperature density (CTD) data and other years of Bering Strait moorings, deployed almost continuously since 1990. For an overview, see http://psc.apl.washington.edu/BeringStrait.html, and/or search this archive or NODC. Bering Strait data are standardly submitted to NODC for permanent archiving.
DOI: 10.18739/a2zg6g759
title: Bering Strait Mooring Data 2014-2015

description: This is an archive of metadata from moorings deployed in Bering Strait from
summer 2014 to summer 2015.
 Mooring deployments were funded by the NSF-Arctic Observing Network
award PLR-1304052 (PI: Woodgate, Heimbach and Nguyen), in collaboration 
with the NOAA RUSALCA (Russian-US Long Term Census of the Arctic) program.
 For 2014 to 2015, a total of three moorings were deployed:
 - two moorings (A2 and A4) in the US channel of the strait,
 - one mooring (A3) at a site just north of the strait. 
 In what follows, mooring names include a two digit suffix to represent
year of deployment. 
 Sites A2, and A3 were established in 1990. A2 and A3 have been occupied 
almost continuously (all years except 96-97) since then. Site A4 
was established in 2001. 
 Mooring location A2 is in the middle of the eastern (Alaskan side) channel.
 Mooring location A3 is just north of the strait, immediately east of the
Russian-US EEZ (Exclusive Economic Zone) line.
 Experience has shown that site A3 samples both eastern and western
channel water. Mooring location A4 is close to the Alaskan coast and allows
measurement of the Alaska Coastal Current.
 For an overview of previous and on-going Bering Strait mooring work,
please see http://psc.apl.washington.edu/BeringStrait.html.
 For access to the data, please visit NODC or our website.
 Moorings carry a variety of instruments, listed in the attached table.
 All records are year-round, sampling hourly or more frequently (Time
Int. in attached table).
 Data from instruments marked with * are not included in the NODC archive.
 For access to these data, please contact the named PI in list below.
 Depths are estimated from mooring design and pressure sensors where available,
and are good to 1-2m. 
 
 NR=instrument not recovered ND=No data 
 Instruments with data included here:
 ISCAT - SBE37IM in ice resistant float, telemetering data inductively to a Logger below (system developed at APL-UW)
 300KHz-ADCP - 300kHz RDI/Teledyne Workhorse Acoustic Doppler Current Profiler
 SBE37 Microcat - Seabird SBE 37 Temperature Salinity Pressure recorder
 SBE16woptic - Seabird SBE16plus with optical data (including some or all of fluorescence, turbidity, transmissivity and PAR) - see headers
 SBE26p-BPG - Seabird SBE26plus Bottom Pressure Gauge
 RCM9Turb - Aanderaa RCM9 acoustic current meter with turbidity sensor
 RCM9LW - Aanderaa Lightweight RCM9 acoustic current meter
 Instruments with data not included here:
 AARI-CM&amp;CTD - Current meter and CTD from AARI (Arctic and Antarctic Research Institute, Russia), PI: Igor Lavrenov, AARI
 ISUS - ISUS Nitrate sensor, PI: Terry Whitledge, UAF
 AURAL M2* - Aural Marine Mammal Acoustic Recorder, PI: Kate Stafford, UW
DOI: 10.18739/a23775v9s
title: Bering Strait Mooring Data - Russian Channel - summer 2004 to summer 2006

description: Insitu, year-round data from subsurface moorings deployed in the western (Russian) channel of the Bering Strait from summer 2004 - summer 2005 (1 mooring) and from summer 2005 - summer 2006 (3 moorings). Moorings recorded lower layer water velocity, temperature and salinity ~ hourly. Some instruments also recorded fluorescence and turbidity. In 2005-2006, an upward looking Acoustic Data Current Profiler (ADCP) recorded water velocity at different levels and some measure of ice velocity and ice thickness. For full details, see Readme file below. Data are available via our website (Data Access link below) and from National Oceanographic Data Center (NODC) (related data link below). These deployments are part of the NOAA-RUSALCA (Russian-American Long Term Census of the Arctic Program), lead PI T. Weingartner. Related data sets include concurrent mooring measurements in the other channel of the strait, various conductivity, temperature and density (CTD) data and other years of Bering Strait moorings, deployed almost continuously since 1990. For an overview, see http://psc.apl.washington.edu/BeringStrait.html, and/or search this archive or NODC. Bering Strait data are standardly submitted to NODC for permanent archiving.
DOI: 10.15468/dl.q8dp98
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fritillaria messanensis Raf.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 155 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027710-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2pz51m7s
title: Subglacial conduit fluid dynamics simulation, Svalbard, Norway

description: This project will examine the processes controlling the flow of water through and beneath an Arctic glacier. The hydraulic properties of glaciers are a major factor influencing the rate at which glaciers slide on the underlying rock. Understanding subglacial flow is critical to developing models that accurately predict how glaciers will behave in response to warming climate and how glaciers will contribute to sea level rise. For outreach and educational purposes, the project will develop a web-based, interactive fluid dynamics tutorial concerning subglacial conduits. A project web site will also be developed. The project will contribute to workforce development by supporting the training of a graduate student and by providing partial support for three early-career scientists. This study will perform three-dimensional computational fluid dynamics (CFD) large eddy simulations (LES) of turbulent flows in a subglacial conduit using realistic surfaces and mesh boundaries. The computations will be done using 3D high-performance computing. The conduit geometry and roughness will be based on a unique set of field measurements made on a Svalbard glacier using with a modified video-game controller at mm resolution. The result of this effort is a first-ever high resolution visualization of a real subglacial conduit and the first subglacial LES simulations with realistic geometry. Results will be compared with model output using the more standard Darcy-Weisbach or Manning formulations. The study will provide improved insights into hydrological processes in mountain glaciers and large ice sheets such as the Greenland Ice Sheet. Here we present CFD simulation cases for the study of hydrodynamics within a real subglacial conduit. Also included are the conduit geometry acquired with a novel sensor, as well as the Matlab code for the preprocessing of the geometry for CFD simulations.
DOI: 10.18739/a2k649t2g
title: PolarHub: A service-oriented cyberinfrastructure portal to support sustained polar sciences

description: This project develop components of a polar cyberinfrastructure (CI) to support researchers and users for data discovery and access. The main goal is to provide tools that will enable a better access to polar data and information, hence allowing to spend more time on analysis and research, and significantly less time on discovery and searching. A large-scale web crawler, PolarHub, is developed to continuously mine the Internet to discover dispersed polar data. Beside identifying polar data in major data repositories, PolarHub is also able to bring individual hidden resources forward, hence increasing the discoverability of polar data. Quality and assessment of data resources are analyzed inside of PolarHub, providing a key tool for not only identifying issues but also to connect the research community with optimal data resources.

In the current PolarHub system, seven different types of geospatial data and processing services that are compliant with OGC (Open Geospatial Consortium) are supported in the system. They are:
-- OGC Web Map Service (WMS): is a standard protocol for serving (over the Internet)georeferenced map images which a map server generates using data from a GIS database.
-- OGC Web Feature Service (WFS): provides an interface allowing requests for geographical features across the web using platform-independent calls.
-- OGC Web Coverage Service (WCS): Interface Standard defines Web-based retrieval of coverages; that is, digital geospatial information representing space/time-varying phenomena.
-- OGC Web Map Tile Service (WMTS): is a standard protocol for serving pre-rendered georeferenced map tiles over the Internet.
-- OGC Sensor Observation Service (SOS): is a web service to query real-time sensor data and sensor data time series and is part of theSensor Web. The offered sensor data comprises descriptions of sensors themselves, which are encoded in the Sensor Model Language (SensorML), and the measured values in the Observations and Measurements (O and M) encoding format.
-- OGC Web Processing Service (WPS): Interface Standard provides rules for standardizing how inputs and outputs (requests and responses) for invoking geospatial processing services, such as polygon overlay, as a web service.
-- OGC Catalog Service for the Web (CSW): is a standard for exposing a catalogue of geospatial records in XML on the Internet (over HTTP). The catalogue is made up of records that describe geospatial data (e.g. KML), geospatial services (e.g. WMS), and related resources.

PolarHub has three main functions: (1) visualization and metadata viewing of geospatial data services; (2) user-guided real-time data crawling; and (3) data filtering and search from PolarHub data repository.
DOI: 10.18739/a2ff3m084
title: Barrow Area Information Database (BAID) data services prototype

description: This data set comprises the artifacts of an applied research effort to identify ways in which archived data may be made more readily available to the Barrow Area Information Database and similar cyberinfrastructure implementations. A lightweight RESTful data service was developed to serve tab-separated ASCII data as a JSON HTTP response. The data service thus demonstrates one option for delivering data to BAID, making it possible to associate data products with the research site from which they were collected. The code for this server is made available as a zip file. Two posters describe the project goals and lessons learned. Note that the data in this project were derived from the Barrow Atqasuk ITEX Detailed Microclimate 1998-2008 dataset (doi.org/doi:10.18739/A2TW6V) and were not collected as part of the BAID Data Services Prototype effort. A codemeta.json file describes the project software in a machine-readable format (this file is also included in the zip file containing the source code). The latest version of the project code is available at https://github.com/nsidc/baid-prototype.
DOI: 10.18739/a29p2w65g
title: Conductivity-Temperature-Depth (CTD) Survey in Wolstenholme Fjord, Greenland, April 2017

description: The principal investigators of this project propose to design and develop an integrated underwater acoustic sensor network for ice-covered

seas. The sensor and communication network will support 1) long-term, intelligent distributed Arctic observing systems, 2) assimilation of remote-sensing and in-situ under-ice measurements, and 3) regional and global climate modeling with real-time measurements. Such a network holds the promise to revolutionize under-ice ocean sampling in polar regions.
 Ocean water properties in Wolstenholme Fjord adjacent to Thule Air Base (TAB) in Greenland were profiled at 68 discrete stations in April 2017. The fjord was covered by land-fast sea ice and thus provided a stable platform from which to test, deploy, and recover a range of oceanographic and acoustic sensor systems via snowmobiles during day-light hours in April when air temperatures are generally above -25 °C.

We collected about 4-7 stations per section at ~10 sections that crossed bathymetric features such as entrance channels, basins, and sills. Sections with 1-2 km station spacing were also placed across Moltke, Knud Rasmussen, and Chamberlin Glaciers.
DOI: 10.18739/a2610vs4z
title: Arctic Alaska town and village dataset

description: Stata 12 format dataset with midyear population, births, deaths, estimated net migration for 43 Arctic Alaska towns and villages, 1990-2014. Also with monthly precipitation and temperature MERRA reanalysis for the community's approximate location; and with several classifications of erosion or water system vulnerability. Citation: Kei Saito, Lawrence Hamilton, Richard Lammers, Stanley Glidden (2015): Arctic Alaska: A Reference Library for 43 Towns and Villages. UCAR/NCAR - CISL - ACADIS. Dataset. http://dx.doi.org/10.5065/D6930R6J
DOI: 10.18739/a22805013
title: Impact of Small, Canadian Arctic River Flows (SCARFS) to the Freshwater Budget of the Canadian Archipelago, 2014 - 2016

description: This three-year study proposes to characterize the geochemistry of the largely unstudied, remote rivers and estuaries in the Canadian Arctic Archipelago (CAA), with the ultimate aim of resolving the contribution of local freshwater inputs to CAA boundary currents. The investigators will target seven rivers for sampling. River sampling will occur during different flow regimes, but will emphasize sample collection during the spring freshet, the time of year when terrestrial runoff from local CAA rivers maximally impacts coastal waters. Estuarine sampling will include both horizontal and vertical profiles. The data will be synthesized and interpreted using mixing models and regression analyses, and compared with data for the Mackenzie and Yukon Rivers, which have historically been considered "typical" for North American runoff to the Arctic. Acceleration of glacial melt and the hydrologic cycle in a warmer world will likely increase local inputs of freshwater to the CAA. Because many such changes may already be underway, it is important to establish a baseline by which future changes can be compared. The proposed research has implications regarding the variability and magnitude of freshwater export from the Arctic and subarctic oceans to the North Atlantic, and the findings will help fill significant gaps in the knowledge of CAA river geochemistry and the Arctic freshwater cycle. The project will catalyze a new partnership among faculty, researchers, and students at the Applied Physics Laboratory and Northwestern University. Moreover, the research will include hands-on participation from local community members who will collect samples during various times of year to extend the temporal coverage of the study. Data will be made publicly available via websites and databases for maximum visibility, dispersion, and long-term archival. Additional activities include teaching and training of a postdoctoral student, incorporation of project findings into curricular materials, and outreach to K-12 students from traditionally underrepresented groups.
DOI: 10.57745/pdjdgw
title: BdD_R2IE_2009_2020.tab
DOI: 10.18739/a2xg9fb6j
title: Water samples from rivers and estuaries in the Canadian Arctic Archipelago, 2016

description: The investigators will target seven rivers for sampling. River sampling will occur during different flow regimes, but will emphasize sample collection during the spring freshet, the time of year when terrestrial runoff from local Canadian Arctic Archipelago (CAA) rivers maximally impacts coastal waters. Estuarine sampling will include both horizontal and vertical profiles. The data will be synthesized and interpreted using mixing models and regression analyses, and compared with data for the Mackenzie and Yukon Rivers, which have historically been considered "typical" for North American runoff to the Arctic. Acceleration of glacial melt and the hydrologic cycle in a warmer world will likely increase local inputs of freshwater to the CAA. Because many such changes may already be underway, it is important to establish a baseline by which future changes can be compared. The proposed research has implications regarding the variability and magnitude of freshwater export from the Arctic and subarctic oceans to the North Atlantic, and the findings will help fill significant gaps in the knowledge of CAA river geochemistry and the Arctic freshwater cycle.
DOI: 10.18739/a2sq8qj1x
title: Water samples from rivers in the Canadian Arctic Archipelago, 2014

description: The investigators will target seven rivers for sampling. River sampling will occur during different flow regimes, but will emphasize sample collection during the spring freshet, the time of year when terrestrial runoff from local Canadian Arctic Archipelago (CAA) rivers maximally impacts coastal waters. Estuarine sampling will include both horizontal and vertical profiles. The data will be synthesized and interpreted using mixing models and regression analyses, and compared with data for the Mackenzie and Yukon Rivers, which have historically been considered "typical" for North American runoff to the Arctic. Acceleration of glacial melt and the hydrologic cycle in a warmer world will likely increase local inputs of freshwater to the CAA. Because many such changes may already be underway, it is important to establish a baseline by which future changes can be compared. The proposed research has implications regarding the variability and magnitude of freshwater export from the Arctic and subarctic oceans to the North Atlantic, and the findings will help fill significant gaps in the knowledge of CAA river geochemistry and the Arctic freshwater cycle.
DOI: 10.18739/a2nz80q62
title: Water samples from rivers and estuaries in the Canadian Arctic Archipelago, 2015

description: The investigators will target seven rivers for sampling. River sampling will occur during different flow regimes, but will emphasize sample collection during the spring freshet, the time of year when terrestrial runoff from local Canadian Arctic Archipelago (CAA) rivers maximally impacts coastal waters. Estuarine sampling will include both horizontal and vertical profiles. The data will be synthesized and interpreted using mixing models and regression analyses, and compared with data for the Mackenzie and Yukon Rivers, which have historically been considered "typical" for North American runoff to the Arctic. Acceleration of glacial melt and the hydrologic cycle in a warmer world will likely increase local inputs of freshwater to the CAA. Because many such changes may already be underway, it is important to establish a baseline by which future changes can be compared. The proposed research has implications regarding the variability and magnitude of freshwater export from the Arctic and subarctic oceans to the North Atlantic, and the findings will help fill significant gaps in the knowledge of CAA river geochemistry and the Arctic freshwater cycle.
DOI: 10.18739/a2j678x27
title: Text REtrieval Conference (TREC) Dynamic Domain polar dataset code, 2015-2016

description: Climate change is amplified in the Polar Regions. Polar amplification is captured via space and airborne remote sensing, in-situ measurement, and climate modeling. Beyond the rich literature that documents changing Polar regions, each method of Polar-data collection produces a diverse set of data types, ranging from text-based metadata to more complex data structures (e.g. HDF, NetCDF, GRIB). Because finding these data is often a primary challenge in scientific discovery, inclusion of the Polar dataset in TREC-DD would help advance science through data discovery and provide TREC-DD a new challenge in in the realm of search relevancy.

Dataset Description:

This dataset is a collection of web crawls from three primary sources:

Dr. Chris Mattmann's crawl of ADE, performed at the Open Science Codefest and at the [NSF DataViz Hackathon for Polar CyberInfrastructure] (http://nsf-polar-cyberinfrastructure.github.io/datavis-hackathon/)
Dr. Mattmann's student Angela Wang, contributed 3 datasets: 2 crawls of ACADIS and one of NASA AMD.
Dr. Mattmann's CSCI 572 Course at USC, students submitted 13 individual crawls of NASA ACADIS, NSIDC ADE, and AMD.
Each web crawl used Apache Nutch as the core framework for web crawling and Apache Tika as the main content detection and extraction framework. Nutch is a distributed search engine that runs on top of Apache Hadoop. Apache Tika is an open source framework for metadata exploration, automatic text mining, and information retrieval.

Web crawls were focused on three polar data repositories: the National Science Foundation Advanced Cooperative Arctic Data and Information System (ACADIS), the National Snow and Ice Data Center (NSIDC) Arctic Data Explorer (ADE), and the National Aeronautics and Space Administration Antarctic Master Directory (AMD).

The finished Polar dataset is composed of 17 distinct web crawls, containing 1,741,530 records (158 GB) across the three Polar science data repositories, which themselves are largely uncoordinated.