cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a29z90c2x
title: Historical and future wind events for Alaskan communities, Alaska, 1980-2099

description: Hourly wind data from 67 Alaska communities with observing stations, one atmospheric reanalysis, and two global climate models were processed to identify wind events exceeding location-specific thresholds. The ERA-Interim reanalysis and output from the GFDL-CM3 (Geophysical Fluid Dynamics Laboratory) and NCAR-CCSMM4 (National Center for Atmospheric Research) global climate models were downscaled to Alaska and the surrounding regions using the Weather Research and Forecasting model. Hourly wind speed measurements collected during 1980-2015 at 67 Alaskan communities via ASOS/AWOS (Automated Surface Observing System/Automated Weather Observing System) stations were used to bias-correct the WRF-downscaled (Weather Research and Forecasting) ERA-Interim hourly wind speed output. These were subsequently used to bias-correct the historical (1979-2005) and future (2006-2100) WRF-downscaled CM3/CCSM4 wind speeds. These wind speeds were then processed to identify wind events meeting a set of speed and duration thresholds. A wind event was defined as the wind speed being greater than the wind speed threshold, for some duration in hours. Five wind speed thresholds were used for each community. The thresholds were community-specific, and were calculated as the 50th, 75th, 85th, 95th, and 99th percentiles of the ERA-Interim wind speed distributions for the particular community. The five duration thresholds used were 1, 6, 12, 24, and 48 hours. This dataset contains all wind events identified for each of the 67 communities, with each row of the data file consisting of a single wind event. This data drives some of the visualizations in the webtool found 
 here.
DOI: 10.15468/dl.nw7scx
title: Occurrence Download

description: A dataset containing 2804 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Chinese Taipei, China, Hong Kong)",
 "TaxonKey is Toxicodendron succedaneum (L.) Kuntze"
 ]
}

 The dataset includes 2804 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027672-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a22j6848j
title: Thaw depth and organic layer depth from Alaska borehole sites, 2015, 2017, 2018 (ViPER Project)

description: Realistic representations of heat exchange in permafrost ecosystems are necessary for accurate predictive understanding of the permafrost carbon feedback under future climate scenarios.The objective of this project is to examine the impacts of vegetation and ecosystem properties on active layer and permafrost thermal dynamics in order to better understand the vulnerability of permafrost to climate change. Datasets associated with this project include soil, vegetation, and ground temperature data from permafrost borehole sites in Alaska and NE Siberia. This dataset includes thaw depth and organic layer depth from borehole sites in Alaska measured in July-August 2015, September 2017, and August-September 2018.
DOI: 10.18739/a2p843w4g
title: AODTM5: Arctic Ocean Dynamics-based Tide Model, on 5 kilometer grid, developed in 2004

description: The 5 kilometer (km) Arctic Ocean Dynamics-based Tide Model published in 2004 (AODTM5) is a barotropic tide model on a polar stereographic grid. Model development is described by Padman and Erofeeva (2004) (https://doi.org/10.1029/2003GL019003). The bathymetry grid is based on the original International Bathymetric Chart of the Arctic Ocean (IBCAO) bathymetry (Jakobsson et al., 2000; https://doi.org/10.1029/00EO00059). AODTM5 consists of grids of sea surface height (SSH) and depth-integrated currents (“volume transports”) for each of 8 tidal constituents; 4 semidiurnal (M2, S2, K2, N2) and 4 diurnal (K1, O1, P1, Q1). The model solves the depth-integrated shallow water equations, with forcing at open ocean boundaries from the TOPEX/Poseidon global barotropic tidal solution version 6.2 (TPXO.6.2) and local astronomical forcing (“potential tides”). Each constituent in AODTM5 was tuned, separately, to Arctic tide height data by optimizing the linear drag coefficient.
 As a dynamics-based model, AODTM5 is self-consistent: within the constraints of the simplified physics, heights and currents are determined by the bathymetric grid and the imposed forcing. Two other tide models are available at the Arctic Data Center; the Arctic Ocean Inverse Tide Model on a 5 km grid (AOTIM5) (also described by Padman and Erofeeva, 2004) and an updated version created in 2018 (Arc5km2018). These two models are “inverse” models, assimilating tide gauge, bottom pressure recorder and satellite altimetry estimates of SSH. We expect these data assimilation models to provide more accurate predictions of SSH. However, they do not necessarily provide better predictions of depth-averaged currents. We recommend that users compare results from all three models (AODTM5, AOTIM5 and Arc5km2018) before deciding which to use for a specific application. Please also check the ESR Polar Tide Model webpage (https://www.esr.org/research/polar-tide-models/) for more recent Arctic barotropic tide models.
 Padman, L., and S. Erofeeva (2004), A barotropic inverse tidal model for the Arctic Ocean, Geophysical Research Letters, 31(2), L02303, doi:10.1029/2003GL019003.
DOI: 10.18739/a2jh3d30r
title: AODTM5: Arctic Ocean Dynamics-based Tide Model, on 5 kilometer grid, developed in 2004

description: The 5 kilometer (km) Arctic Ocean Dynamics-based Tide Model published in 2004 (AODTM5) is a barotropic tide model on a polar stereographic grid. Model development is described by Padman and Erofeeva (2004) (https://doi.org/10.1029/2003GL019003). The bathymetry grid is based on the original International Bathymetric Chart of the Arctic Ocean (IBCAO) bathymetry (Jakobsson et al., 2000; https://doi.org/10.1029/00EO00059). AODTM5 consists of grids of sea surface height (SSH) and depth-integrated currents (“volume transports”) for each of 8 tidal constituents; 4 semidiurnal (M2, S2, K2, N2) and 4 diurnal (K1, O1, P1, Q1). The model solves the depth-integrated shallow water equations, with forcing at open ocean boundaries from the TOPEX/Poseidon global barotropic tidal solution version 6.2 (TPXO.6.2) and local astronomical forcing (“potential tides”). Each constituent in AODTM5 was tuned, separately, to Arctic tide height data by optimizing the linear drag coefficient.
 As a dynamics-based model, AODTM5 is self-consistent: within the constraints of the simplified physics, heights and currents are determined by the bathymetric grid and the imposed forcing. Two other tide models are available at the Arctic Data Center; the Arctic Ocean Inverse Tide Model on a 5 km grid (AOTIM5) (also described by Padman and Erofeeva, 2004) and an updated version created in 2018 (Arc5km2018). These two models are “inverse” models, assimilating tide gauge, bottom pressure recorder and satellite altimetry estimates of SSH. We expect these data assimilation models to provide more accurate predictions of SSH. However, they do not necessarily provide better predictions of depth-averaged currents. We recommend that users compare results from all three models (AODTM5, AOTIM5 and Arc5km2018) before deciding which to use for a specific application. Please also check the ESR Polar Tide Model webpage (https://www.esr.org/research/polar-tide-models/) for more recent Arctic barotropic tide models.
 Padman, L., and S. Erofeeva (2004), A barotropic inverse tidal model for the Arctic Ocean, Geophysical Research Letters, 31(2), L02303, doi:10.1029/2003GL019003.
DOI: 10.18739/a2dr2p860
title: AODTM5: Arctic Ocean Dynamics-based Tide Model, on 5 kilometer grid, developed in 2004

description: The 5 kilometer (km) Arctic Ocean Dynamics-based Tide Model published in 2004 (AODTM5) is a barotropic tide model on a polar stereographic grid. Model development is described by Padman and Erofeeva (2004) (https://doi.org/10.1029/2003GL019003). The bathymetry grid is based on the original International Bathymetric Chart of the Arctic Ocean (IBCAO) bathymetry (Jakobsson et al., 2000; https://doi.org/10.1029/00EO00059). AODTM5 consists of grids of sea surface height (SSH) and depth-integrated currents (“volume transports”) for each of 8 tidal constituents; 4 semidiurnal (M2, S2, K2, N2) and 4 diurnal (K1, O1, P1, Q1). The model solves the depth-integrated shallow water equations, with forcing at open ocean boundaries from the TOPEX/Poseidon global barotropic tidal solution version 6.2 (TPXO.6.2) and local astronomical forcing (“potential tides”). Each constituent in AODTM5 was tuned, separately, to Arctic tide height data by optimizing the linear drag coefficient.
 As a dynamics-based model, AODTM5 is self-consistent: within the constraints of the simplified physics, heights and currents are determined by the bathymetric grid and the imposed forcing. Two other tide models are available at the Arctic Data Center; the Arctic Ocean Inverse Tide Model on a 5 km grid (AOTIM5) (also described by Padman and Erofeeva, 2004) and an updated version created in 2018 (Arc5km2018). These two models are “inverse” models, assimilating tide gauge, bottom pressure recorder and satellite altimetry estimates of SSH. We expect these data assimilation models to provide more accurate predictions of SSH. However, they do not necessarily provide better predictions of depth-averaged currents. We recommend that users compare results from all three models (AODTM5, AOTIM5 and Arc5km2018) before deciding which to use for a specific application. Please also check the ESR Polar Tide Model webpage (https://www.esr.org/research/polar-tide-models/) for more recent Arctic barotropic tide models.
 Padman, L., and S. Erofeeva (2004), A barotropic inverse tidal model for the Arctic Ocean, Geophysical Research Letters, 31(2), L02303, doi:10.1029/2003GL019003.
DOI: 10.18739/a2599z22p
title: Vulcan Creek Gage site flow data, Tubutulik River Watershed on the Seward Peninsula, Alaska, 2012-2016.

description: The primary purpose of the Tubutulik Instream Flow Protection Project is to gather discharge and related data to be applied in the protection of fish and wildlife habitat, migration, and propagation flows on Vulcan Creek in the Tubutulik River Watershed. The Watershed produces a variety of Pacific salmon and other fish species important to the Norton Sound area. In addition, the Watershed is located within the Migratory range of the Western Arctic Reindeer Herd which rely on the associated watersheds for habitat and forage needs. Current threats to fish and wildlife habitat within the River’s watershed, however, include uranium mining exploration and other potential mining related activity and associated roads, railroads from mining and related development.
 As part of the Project, the Traditional Council of the Native Village of Elim is collecting discharge, logger and staff gage data for protection of fish and wildlife habitat, migration, and propagation flows on Vulcan Creek reach located in the Tubutulik River Watershed on the Seward Peninsula of Alaska. Objective - obtain a certificate of reservation for instream flows under the Alaska State Water Code, on Vulcan Creek and other creeks in the Watershed.
 An instream flow certificate is required for maintaining a specific flow in a portion of stream or water level in a lake. An instream flow reservation can be made to protect fish and wildlife habitat, migration, and propagation; recreation and park purposes; navigation and transportation purposes; and sanitary and water quality purposes. The Vulcan Creek data will be incorporated into an application form and the fee prescribed by 11 AAC (Alaska Administrative Code) 05.260 will be filed with the Department of Natural Resources.
DOI: 10.18739/a2ws8hm3x
title: AOTIM5: Arctic Ocean Inverse Tide Model, on 5 kilometer grid, developed in 2004

description: The 5 kilometer (km) Arctic Ocean Tidal Inverse Model developed in 2004 (AOTIM5) is a barotropic tide model on a polar stereographic grid. AOTIM5 was created using the OSU Tidal Inversion Software (OTIS) package (https://www.tpxo.net/). Model development is described by Padman and Erofeeva (2004) (https://doi.org/10.1029/2003GL019003). The bathymetry grid is based on the original International Bathymetric Chart of the Arctic Ocean (IBCAO) bathymetry (Jakobsson et al., 2000; https://doi.org/10.1029/00EO00059). AOTIM5 consists of grids of sea surface height and depth-integrated currents (“volume transports”) for each of 8 tidal constituents; 4 semidiurnal (M2, S2, K2, N2) and 4 diurnal (K1, O1, P1, Q1). The first step in building AOTIM5 was development of the Arctic Ocean Dynamics-based Tide Model (AODTM5), which is also available at the Arctic Data Center (https://arcticdata.io/catalog/view/doi:10.18739/A2901ZG3N). That model was forced at open ocean boundaries by the TOPEX/Poseidon global barotropic tidal solution version 6.2 (TPXO.6.2), and by local astronomical forcing (“potential tides”). Each constituent in AODTM5 was tuned, separately, to Arctic tide height data by optimizing the linear drag coefficient. AOTIM5 used AODTM5 as a “prior” model, then assimilated coastal and benthic tide gauges, and TOPEX/Poseidon and ERS satellite radar altimetry, to improve the 4 largest-amplitude constituents, M2, S2, K1 and O1.
 An updated version of this model created in 2018, Arc5km2018, is also available at the Arctic Data Center. The newer model uses updated open boundary conditions, and a wider range of assimilated data including much longer satellite altimetry records. We recommend that users compare results from AOTIM5 and Arc5km2018 before deciding which to use for a specific application. Please also check the ESR Polar Tide Model webpage (https://www.esr.org/research/polar-tide-models/) for more recent Arctic barotropic tide models.
 Padman, L., and S. Erofeeva (2004), A barotropic inverse tidal model for the Arctic Ocean, Geophysical Research Letters, 31(2), L02303, doi:10.1029/2003GL019003.
DOI: 10.18739/a2vt1gq2r
title: Hydrographic CCGS Louis S. St-Laurent Cruise CTD and Geochemistry Data 2019

description: Contains data from a hydrographic cruise conducted about the
aboard the Canadian Coast Guard Ship, CCGS Louis S. St-Laurent,
 September 12th to October 3rd 2019. There were 52 conductivity
temperature depth (CTD) casts performed aboard the using a
SBE911+ CTD system with 24 10-L Niskins. The CTD data for down
casts are provided in 1-db averaged files (*.cnv), in Seabird's
text format with one file per cast and separate files. Geochemistry data is
provided in a separate excel spreadsheet.
DOI: 10.18739/a2r20rw89
title: Hydrographic CCGS Louis S. St-Laurent Cruise CTD and Geochemistry Data 2019

description: Contains data from a hydrographic cruise conducted about the
aboard the Canadian Coast Guard Ship, CCGS Louis S. St-Laurent,
 September 12th to October 3rd 2019. There were 52 conductivity
temperature depth (CTD) casts performed aboard the using a
SBE911+ CTD system with 24 10-L Niskins. The CTD data for down
casts are provided in 1-db averaged files (*.cnv), in Seabird's
text format with one file per cast and separate files. Geochemistry data is
provided in a separate excel spreadsheet.
DOI: 10.18739/a2m90234z
title: Siberian boreal forest energy balance (ViPER (Vegetation Impacts on Permafrost) project), Cherskiy, Sakha Republic, Russia, 2016 - 2017

description: Energy balance dynamics in two stands of a Siberian larch forest located in the continuous permafrost zone near the Northeastern Science Station. Data are related to measures of radiative forcing, above- and below-ground micro-meteorological variables, ground heat flux, and sap flow measurements of tree transpiration. The dominant and only tree species is Larix cajanderi. The stands represent a high and low density forest and are located in the same fire scar and burned approximately 75 years ago. Mean tree age is 48 years old in both stands. Additional data includes root density measurements across two years, permafrost thaw depth, and soil characteristics. Tree allometry data is also included to facilitate scaling of sap flux measurements. The data is collected in association with the ViPER (Vegetation Impacts on Permafrost) project. The objective of this project is to examine the impacts of vegetation and ecosystem properties on active layer and permafrost thermal dynamics in order to better understand the vulnerability of permafrost to climate change.
DOI: 10.18739/a2k93166p
title: Water isotope measurements in the McCall Glacier Upper Cirque ice core

description: Continuous water isotope measurements in the top 37 m of the McCall Glacier Upper Cirque ice core, spanning the period ~1949 to 2008. As with all laboratory analyses, measurements should be considered preliminary until published in a peer-reviewed journal. Data included in Arienzo et al., submitted (as of March, 2016). Please contact J. McConnell (joe.mcconnell@dri.edu) for the latest data. Published in Klein et al., Quaternary Science Reviews, 2016. Please contact J. McConnell (joe.mcconnell@dri.edu) for the latest data.
DOI: 10.18739/a29w0900n
title: Lake sediment core analyses and lake monitoring data from the Thule region, northwest Greenland

description: This dataset contains analyses of sediment cores collected from multiple small lakes in the Thule region of northwest Greenland between 2012 and 2014, as well as complementary environmental data from two years of continuous lakewater temperature monitoring. Most sediment cores record the Holocene since regional deglaciation. Data include downcore analyses of magnetic susceptibility, grayscale reflectance, color and near IR reflectance, p-wave velocity and density at sub-centimeter resolution. This dataset also includes core site information, high-resolution images of sediment cores, radiocarbon ages on organic materials extracted from cores, and scanning x-ray fluorescence (XRF) data for one core. Temperature and light measurements through the water column of one study lake, covering approximately two years, are also included.
DOI: 10.18739/a2639k555
title: Kamchatka Peatland Carbon Data core KAM12-C1

description: Peat properties, carbon accumulation and geochronology (14C) data from a peat core in Kamchatka, Far East Russia
DOI: 10.18739/a22b8vc11
title: GPS-derived ice sheet velocities for selected sites in Greenland

description: Surface motions were measured at multiple sites on the Greenland Ice Sheet using GPS methods. Surveys were carried out between July 2012 and September 2015.
DOI: 10.18739/a2xk84q6d
title: Kamchatka Peatland Carbon Data core KAM12-C4

description: Peat properties, carbon accumulation and geochronology (14C) data from a peat core in Kamchatka, Far East Russia
DOI: 10.18739/a2st7dx3r
title: Kurupa Pond n-alkane dD

description: This data set comprises the hydrogen isotope values (relative to VSMOW) of n-alkanes in the Holocene sediments of Kurupa Pond, Brooks Range, Alaska.
DOI: 10.18739/a2dn3zw4r
title: Zooplankton Genetics 2011

description: The files contain mitochondrial gene sequence data for individual zooplankton (Calanus spp. And Thysanoessa spp.) collected near Barrow, AK. The files are Fasta files that can be opened in most bioinformatics software programs (e.g. Geneious, MegAlign, MEGA) or text/word processing programs. For each sequence, the file contains the species identification, isolate number, station number, collection location (Lat, Lon), collection date, the sequenced gene followed by the sequence.
DOI: 10.18739/a2jd4pp7d
title: Kurupa Pond UK37

description: This data set comprises alkenone unsaturation measurements (UK37 values) from lake sediments spanning the Holocene from Kurupa Pond, Brooks Range, Alaska.
DOI: 10.18739/a2p26q40t
title: Cascade Lake dD

description: This data set comprises the hydrogen isotope values (relative to VSMOW) of n-alkanes in the Holocene sediments of Cascade Lake, Brooks Range, Alaska.
DOI: 10.18739/a28w38299
title: Zooplankton Genetics 2012

description: The files contain mitochondrial gene sequence data for individual zooplankton (Calanus spp. And Thysanoessa spp.) collected near Barrow, AK. The files are Fasta files that can be opened in most bioinformatics software programs (e.g. Geneious, MegAlign, MEGA) or text/word processing programs. For each sequence, the file contains the species identification, isolate number, station number, collection location (Lat, Lon), collection date, the sequenced gene followed by the sequence.
DOI: 10.18739/a21c1tg1b
title: Physical/chemical and biological measurements of properties of sea ice and under-ice water collected near Barrow, AK in spring 2011 and 2012

description: The data file summarizes field observations of ice properties and constituents. All field observations of ice properties, snow, ice algae and under ice water in this study were conducted on landfast, first-year sea ice located within 10 km of Point Barrow, Alaska (71.38Â°, 156.48Â°) on the near-shore Beaufort and Chukchi Sea shelf (&lt; 3 km from shore). Samples were collected May - early June 2011-2012 at a water depth of approximately 6-8 m. The stations selected were free of rubble and pressure ridges, decreasing the chance of contaminating debris from the shore and/or re-suspended sediment. During 2011, field work was conducted from May 3 to May 26. Stations were selected and sampled from a range of overlying snow depths (0 - 42 cm). The snow depth at each station was measured with a meter stick and snow depth was consistent (Â± 2 cm) within a radius of approximately 2 m. In 2012, four stations were sampled from May 15 to June 4 every 3 â 7 days. Stations were selected according to the initial snow depths. Station 1 started with 5 cm, Station 2 with 1.5 cm, Station 3 with 21 cm, and Station 4 with 30 cm.
DOI: 10.18739/a2542j85g
title: Zooplankton Genetics 2013

description: The files contain mitochondrial gene sequence data for individual zooplankton (Calanus spp. And Thysanoessa spp.) collected near Barrow, AK. The files are Fasta files that can be opened in most bioinformatics software programs (e.g. Geneious, MegAlign, MEGA) or text/word processing programs. For each sequence, the file contains the species identification, isolate number, station number, collection location (Lat, Lon), collection date, the sequenced gene followed by the sequence.
DOI: 10.18739/a2n58cm2d
title: Permafrost peat plateau core data: Saunatuk - MRB13_02

description: This package contains permafrost peat plateau core data from the paper: Sensitivity of Northern Peatland Carbon Dynamics to Holocene Climate Change.
The goal is to evaluate the long-term climate sensitivity and global carbon (C)
cycle implications of northern peatland C dynamics by synthesizing available data
and providing a conceptual framework for understanding the dominant controls,
processes, and interactions of peatland initiation and C accumulation.
Permafrost peat plateau core data of organic matter, nitrogen and carbon accumulation rates at different core level in this package were collected with a box corer (active layer) and gas-powered diamond-tipped drill (permafrost) for study of Arctic carbon accumulation during the Holocene.
DOI: 10.18739/a2rx93d5r
title: Permafrost peat plateau core data: Tuktoyaktuk Peninsula - MRB13_01

description: This package contains permafrost peat plateau core data from the paper: Sensitivity of Northern Peatland Carbon Dynamics to Holocene Climate Change.
The goal is to evaluate the long-term climate sensitivity and global carbon (C)
cycle implications of northern peatland C dynamics by synthesizing available data
and providing a conceptual framework for understanding the dominant controls,
processes, and interactions of peatland initiation and C accumulation.
Permafrost peat plateau core data of organic matter, nitrogen and carbon accumulation rates at different core level in this package were collected with a box corer (active layer) and gas-powered diamond-tipped drill (permafrost) for study of Arctic carbon accumulation during the Holocene.