cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2696zz8d
title: Beaufort Gyre Observing System (BGOS) Underway Partial pressure of carbon dioxide (pCO2) data and air-sea CO2 fluxes, Arctic Ocean, 2011-2019

description: These data were collected on the CCGS (Canadian Coast Guard) Louis St. Laurent during BGOS (Beaufort Gyre Observing System) research cruises in 2012, 2013, 2014, 2016, 2017, 2019 in the Beaufort Sea area. They are underway pCO2 (Partial pressure of carbon dioxide) data collected using an equilibrator-infrared method (SUPER CO2 system from Sunburst Sensors). Ancillary data for calculation of air-sea CO fluxes include temperature, salinity, atmospheric CO2, wind speed, and gas transfer velocity (calculated from Wanninkhof et al. (2009). Fluxes are not corrected for fractional ice-coverage.
 The specific goal of the study is to continue to operate an Arctic Observing Network (AON) for the measurement of the partial pressure of CO2 (pCO2), pH, and dissolved O2 (DO) focused on the surface waters of the Arctic Ocean (specifically, the Canada Basin). These data were collected on the CCGS (Canadian Coast Guard) Louis St. Laurent during a BGOS (Beaufort Gyre Observing System) research cruise in 2019 in the Beaufort Sea area. It is underway pCO2 (partial pressure of carbon dioxide) data collected using an equilibrator-infrared method (SUPER CO2 system from Sunburst Sensors). Ancillary data for calculation of air-sea CO2 fluxes include temperature, salinity, atmospheric CO2.
DOI: 10.15468/dl.kg27ph
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ledermanniella raynaliorum C.Cusset"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027849-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a22j68542
title: Petermann Fjord Sediment Core Holocene Computed Tomography (CT) Scans (Cruise OD1507)

description: Computed tomography (CT) scans of sediment cores collected during the PETERMANN15 expedition of the Swedish Icebreaker Oden, OD1507 included cores 03 Trigger Core (TC), 03 Piston Core (PC), 04 Gravity Core (GC), 06PC, 08GC, 10PC, 10TC, 40PC, 40TC, and 41GC. Data include 2 millimeter (mm) thick coronal slices in Digital Imaging and Communications in Medicine (DICOM) format and SedCT products (software for sediment cord CT processing), including images and CT numbers. CT data were collected to image the 3-dimensional density structure of the sediment cores to study sedimentary structures, lithofacies, and ice rafted debris. This information provides information on the glacial history of Petermann Fjord and provides stratigraphic context for other data generated from these cores. CT scans were collected of the sediment cores at the Oregon State University School of Veterinary Medicine in 2016 after arriving at the Oregon State University Marine and Geology Repository. These data are further discussed by Reilly et al., 2019, Holocene break-up and reestablishment of the Petermann Ice Tongue, Northwest Greenland, Quaternary Science Reviews, doi: 10.1016/j.quascirev.2019.06.023.
DOI: 10.18739/a2c24qp2d
title: Seasonal data for 2 lakes in Kangerlussuaq, Greenland (April 2019-July 2019)

description: The purpose of this data is to understand how does seasonal dynamics of these periglacial lakes vary between 2 climatic regions from under-ice to open-water periods leveraging high-frequency monitoring and discreet manual sampling of lakewater for analyses of chemistry and biology. This dataset includes water quality measurements (nutrient concentrations, dissolved organic carbon), phytoplankton cell density and biovolume, pigment concentrations, and high-frequency measurements of dissolved oxygen (DO) and photosynthetically active radiation (PAR) collected approx. weekly from two lakes around Kangerlussuaq, Greenland (Lake SS2, Lake SS901) between April and July 2019. These two lakes were selected because they are representative of a suite of lakes located along hydro-climatic gradient in West Greenland (e.g., data from Fowler and Saros, 2019; DOI:10.18739/A2QB9V561). The primary objective of our study was to understand seasonal dynamics of phytoplankton biomass and community structure during the succession from ice-covered to open-water conditions in two oligotrophic, Arctic lakes with different dissolved organic carbon (DOC) concentrations that are representative of a suite of lakes in West Greenland. Specifically, we assessed which factors promote under-ice growth of phytoplankton and trigger shifts in the community structure over time and along vertical gradients within the water column.
DOI: 10.18739/a2xs5jj05
title: Bathymetric data from T8 Lake, Toolik Field Station, Alaska (2020)

description: Toolik Field Station is located in the foothills of the Brooks Range on Alaska's North Slope and is administered by the Institute of Arctic Biology at the University of Alaska Fairbanks (UAF). Toolik Field Station was first established to support an aquatic program designed to obtain base-line data on the North Slope and inland coastal ponds in 1975. Research has expanded over the years to include terrestrial, atmospheric, vertebrate and other taxa, making Toolik home to a long running and diversified body of arctic ecology. The station currently supports a long-standing and rapidly expanding community of scientists and research projects representing individual and collaborative efforts from United States and international institutions.
 Growth of Toolik-based science, the number of researchers, and the facility from a tented camp to a research station prompted the establishment of the Toolik GIS (Geographical Information Systems) and Remote Sensing (RS) Program as part of the 5 year Cooperative Agreement between the National Science Foundation (NSF) and the Institute of Arctic Biology, University of Alaska Fairbanks in 2001 (NSF Award Number 9981914). The mission of this Program is to facilitate and enhance arctic research, and to increase research and management efficiency, effectiveness and capability. This is accomplished: 1) through Information Technology (IT) and GIS-RS support of administrative and management infrastructure and production of planning tools for land management and permitting, and 2) through direct consultation and GIS, RS, and Global Posititioning System (GPS) support services to scientists. ToolikGIS provides a rich spatial geodatabase, project-specific data development, spatial analyses, consultation and documentation.
DOI: 10.18739/a2t43j39f
title: Predicting thermal responses of an Arctic lake to whole-lake warming manipulation at Toolik Field Station July 1, 2018 to August 31, 2018

description: We investigated how lake thermal processes responded to whole-lake warming manipulation for in an Arctic Alaskan lake through observations and numerical modeling. The warming manipulation was conducted by artificially heating the epilimnion of the lake as a proxy for climate warming. We performed numerical modeling and used an improved lake scheme based on the Community Land Model (CLM). We simulated a control run (CTL) without warming and a warming manipulation simulation (WARM). Results indicated that the WARM simulation accurately captured the observed lake temperature profiles where water stratification was extended in time, and water stability was strengthened. Two additional sensitivity tests with different warming onset dates and of the same warming durations showed that earlier onsets of warming are predicted to make the lake water column more stable and less easily mixed relative to a later onset of warming. The results of this study provide a more complete understanding of lake thermal processes in Arctic freshwater lake systems and of how they will respond to predicteda future warming world.
DOI: 10.18739/a2pc2t96s
title: Bathymetric data from T6 Lake, Toolik Field Station, Alaska (2020)

description: Toolik Field Station is located in the foothills of the Brooks Range on Alaska's North Slope and is administered by the Institute of Arctic Biology at the University of Alaska Fairbanks (UAF). Toolik Field Station was first established to support an aquatic program designed to obtain base-line data on the North Slope and inland coastal ponds in 1975. Research has expanded over the years to include terrestrial, atmospheric, vertebrate and other taxa, making Toolik home to a long running and diversified body of arctic ecology. The station currently supports a long-standing and rapidly expanding community of scientists and research projects representing individual and collaborative efforts from United States and international institutions.
 Growth of Toolik-based science, the number of researchers, and the facility from a tented camp to a research station prompted the establishment of the Toolik GIS (Geographical Information Systems) and Remote Sensing (RS) Program as part of the 5 year Cooperative Agreement between the National Science Foundation (NSF) and the Institute of Arctic Biology, University of Alaska Fairbanks in 2001 (NSF Award Number 9981914). The mission of this Program is to facilitate and enhance arctic research, and to increase research and management efficiency, effectiveness and capability. This is accomplished: 1) through Information Technology (IT) and GIS-RS support of administrative and management infrastructure and production of planning tools for land management and permitting, and 2) through direct consultation and GIS, RS, and Global Posititioning System (GPS) support services to scientists. ToolikGIS provides a rich spatial geodatabase, project-specific data development, spatial analyses, consultation and documentation.
DOI: 10.18739/a2dv1cp69
title: Tussocks enduring or shrubs greening: Alternate responses to changing fire regimes in the Noatak River Valley, Alaska, 2017-2020

description: As the Arctic warms, tundra wildfires are expected to become more frequent and severe. Assessing how the most flammable regions of the tundra respond to burning can inform us about how the rest of the Arctic may be affected by climate change. Here we describe ecosystem responses to tundra fires in the Noatak River watershed of northwest Alaska using shrub dendrochronology, active-layer depth monitoring, and remotely sensed vegetation productivity. Results show that relatively productive tundra is more likely to experience fires and burn more severely, suggesting that fuel loads currently limit tundra fire distribution in the Noatak Valley. Within three years of burning, most alder shrubs sampled had either germinated or re-sprouted, and vegetation productivity inside sixty burn perimeters recovered to pre-fire values. Tundra fires resulted in two phases of increased primary productivity as manifested by increased landscape greening. Phase one occurred in most burned areas 3-10 years after fires, and phase two occurred 16-44 years after fire in situations where tundra fires triggered near-surface permafrost thaw resulting in shrub proliferation. A fire-shrub-greening positive feedback is currently operating in the Noatak Valley and this feedback could expand North as air temperatures, fire frequencies, and permafrost degradation increase. This feedback will not have indiscriminate expansion though; in the Noatak Valley, the fire-shrub-greening process is relatively limited in tussock tundra, where low-severity fires and shallow active layers exclude shrub proliferation. Climate warming and enhanced fire occurrence will likely shift fire-poor regions into either the tussock tundra or erect shrub tundra fire-adapted ecological attractor states that now dominate the fire-rich Noatak Valley.
DOI: 10.18739/a2930nw2g
title: A survey of 2015 Alaska seaplane operations with predictions of transmission risk for aquatic invasive plants.

description: The main purpose of the survey was to establish the risk domain for introducing Elodea, an aquatic invasive species, by identifying unique seaplane destinations, flight origin, and annual flight frequency. We designed an electronic mapping tool programmed in JavaScript and using Mapbox Outdoors general-purpose maps (see Figure). The mapping tool enabled precise identification of flying destinations while avoiding spatial ambiguity. We first asked pilots to tell us their home base and then mark their 2015 first-leg freshwater destinations using the mapping tool. Once respondents placed the electronic marker, a pop-up menu asked the pilot to state the 2015 annual flights to the marked destination from their home base using the following intervals: less than 10, 10–25, 25–50, 50–75, 75–100, and more than 100 (Schwoerer et al., 2019). Our targeted population included pilots who flew seaplanes in Alaska in 2015, excluding Southeast Alaska. The sampling considered three pilot groups consisting of pilots who fly seaplanes for personal reasons, commercially, and for the government. We use a hierarchical Bayesian probability model to estimate transmission risk and associated uncertainty for each of 727 seaplane destinations that survey respondents identified.
DOI: 10.18739/a2ww77125
title: Water temperature, salinity, currents, and others collected by conductivity, temperature and pressure (CTD) and acoustic doppler current profiler (ADCP) from MV Steller and MV Pelican in LeConte Bay, Alaska from 2016-08-09 to 2018-09-18 (NCEI Accession 0189574)

description: This dataset contains water temperature, salinity, currents, and other parameters taken during four field campaigns that occurred in LeConte Bay (near LeConte Glacier) in southeast Alaska in August 2016, May 2017, July 2017, September 2017, and September 2018.
 During the cruises data were collected with (i) remote control kayaks that were operated from the Motor Vessel (MV) Steller or the MV Amber Anne and (ii) the MV Pelican (landing craft). The kayak surveys were done within a few hundred meters of the terminus of LeConte Glacier in order to characterize the upwelling plume at the glacier-ocean boundary, while the MV Pelican operated about 1 kilometer (km) down fjord and conducted repeat transects across the fjord.
 We collected water column temperature, salinity, and depth data using a conductivity, temperature, and pressure device (CTD) and water velocity data using acoustic doppler current profiles (ADCPs). The kayak was equipped with a 300 kiloHertz (kHz) system. The MV Pelican had two pole-mounted acoustic doppler current profiler (ADCP) systems, a 600 kiloHertz (kHz) to capture upper layer velocities in more detail and a 150 kHz ADCP to reach the bottom and characterize the entire water column flow.
 Additional details of the field methods are described in:
 Jackson, R.H., J.D. Nash, C. Kienholz, D.A. Sutherland, J.M. Amundson, R.J. Motyka, D. Winters, E. Skyllingstad, and E.C. Pettit, 2020. Meltwater intrusions reveal mechanisms for rapid submarine melt at a tidewater glacier, Geophys. Res. Lett., 47, e2019GL085335, https://doi.org/10.1029/2019GL085335.
 Sutherland, D.A., R.H. Jackson, C. Kienholz, J.M. Amundson, W.P. Dryer, D. Duncan, E.F. Eidam, R.J. Motyka, and J.D. Nash, 2019. Direct observations of submarine melt and subsurface geometry at a tidewater glacier, Science, 365(6541), 369-374, https://doi.org/10.1126/science.aax3528.
DOI: 10.18739/a2s46h696
title: LeConte Bay CHIRP Subsurface Data 2017

description: CHIRP subsurface seismic data
 These data are raw .sgy files of CHIRP subsurface data collected from LeConte Bay, Alaska (AK) in September 2017, as part of a study aimed at investigating sedimentation in front of a retreating tidewater glacier. We acquired more than 45 kilometers (km) of sub-bottom sonar profiles across- and along-fjord.
 A .nc (netcdf) file of aggregated xy location data and other metadata is also included for ease in viewing data extents.
 Reference and more details: Eidam, E.F., D.A. Sutherland, D. Duncan, C. Kienholz, J.M. Amundson, and R.J. Motyka, 2020. Morainal bank evolution and fjord infilling during a tidewater glacier stillstand, on seasonal to decadal timescales, J. Geophys. Res. Earth Surf., 125, e2019JF005359, https://doi.org/10.1029/2019JF005359.
DOI: 10.18739/a21j97859
title: LeConte Bay Seafloor Elevation Data 1999 - 2018

description: Multibeam data of LeConte Bay seafloor from the inner fjord.
 These are processed multibeam sonar data from LeConte Bay, southeast Alaska. The data come from five cruises grouped into five files:
 1) Aug 1999 and Sep 2000 (20-meter (m) resolution) - 1 file;
 2) August 2016 (20-m and 4-m resolution) - 2 files;
 3) May 2017 (2-m resolution) - 1 file;
 4) Sep 2018 (2-m resolution) - 1 file.
 The datasets collected in 2016-2018 originally included ice-face data, as reported in Sutherland et al., 2019 (DOI 10.1126/science.aax3528) and archived as a dataset - Multibeam sonar data of the face of LeConte Glacier, southeast Alaska, 2016 - 2017 (https://doi.org/10.18739/A2599Z28K). The data presented here include only the seafloor data, exclusive of the ice face. They are referenced to World Geodetic System 1984 (WGS84), Universal Transvers Mercator (UTM) zone 8 (meters easting/northing), and mean sea level.
 Reference and more details: Eidam, E.F., D.A. Sutherland, D. Duncan, C. Kienholz, J.M. Amundson, and R.J. Motyka, 2020. Morainal bank evolution and fjord infilling during a tidewater glacier stillstand, on seasonal to decadal timescales, J. Geophys. Res. Earth Surf., 125, e2019JF005359, https://doi.org/10.1029/2019JF005359.
DOI: 10.18739/a2nc5sd4k
title: Stream discharge and temperature records for the National Petroleum Reserve in Alaska (2009-2019)

description: Understanding aquatic habitat and water resource responses to rapid and ongoing changes in both climate and land-use provide the basis for monitoring physical processes in ten streams and their watersheds in the northeastern portion of the National Petroleum Reserve in Alaska (NPR-A). Streams selected for monitoring were originally based on planned development in their upstream catchments and to represent reference (undeveloped) conditions. Monitoring periods for each station (up to 12 years) vary according to adaptive management of water resources in response to broader NPR-A management planning as well as alignment with proposed and ongoing monitoring efforts in Arctic Alaska. Stream discharge and water temperature data provide basic information to characterize physical regimes and variability among drainage units with respect to flood hazards, responses to land and permafrost dynamics, and connectivity and suitability of habitat for fish and other aquatic organism. Evaluating potential impacts of petroleum development primarily in the from lake water extraction, roads, and oil drilling and transport infrastructure are also an intended use of the data and reason for maintaining these monitoring stations. These data also support basic scientific studies of several National Science Foundation and U.S. Fish and Wildlife funded projects to characterize and understand the Arctic system. Data collection was primarily supported by the Bureau of Land Management.
DOI: 10.18739/a2gm81p9g
title: Greenland Traverse for Accumulation and Climate Studies (GreenTrACS) - multi-channel ground-penetrating radar 2017

description: The stability of the Greenland Ice Sheet is of critical interest to scientists and society at large in the context of future sea-level rise. The extent to which the Greenland Ice Sheet will lose mass and contribute to rising sea level in the coming decades depends on the discharge from glaciers at its edges and on the surface mass balance, which is the balance between snow accumulation and surface melt. Estimates of Greenland surface mass balance increasingly utilize climate reanalyses and high-resolution regional climate models to determine snow accumulation, surface melt and runoff/refreeze. These models show significant, and model-dependent, biases (differences from observations) along the steep edges of the Greenland Ice Sheet where the highest and most variable (in space and time) rates of accumulation and surface melt are observed. Thus, the edges of the Greenland Ice Sheet are in critical need of updated accumulation and melt data to validate models and improve mass balance estimates. The investigators propose a traverse in the Western Greenland percolation zone over two field seasons to develop continuous in-situ snow accumulation and firn density records using ground-based radar and shallow firn cores. The research objectives include: (1) determining the patterns, in time and space, of snow accumulation in Western Greenland over the past 20-40 years; (2) evaluating surface melt refreeze and englacial meltwater storage in the Western Greenland percolation zone over the past 20-40 years; and (3) quantifying the accumulation and surface melt biases of the most recent climate reanalysis models and their regional climate model counterparts. 
 These data are radar echograms from the GreenTrACS multi-channel 500 MHz ground-penetrating radar operated in a multi-offset configuration. The multi-channel radar technique accurately and independently estimates density, depth, and annual snow accumulation -- between the Greenland Traverse for Accumulation and Climate Studies (GreenTrACS) firn core and snow pit sites -- by horizon velocity analysis of common midpoint radar reflections from the snow and shallow firn.
DOI: 10.15468/dl.td8dvd
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Opisthopappus taihangensis (Y.Ling) C.Shih)"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027851-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fs9ueh
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ledermanniella sanagaensis C.Cusset"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027853-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2bv79w6t
title: Greenland Traverse for Accumulation and Climate Studies (GreenTrACS) 2017 georeferenced multi-offset ground-penetrating radar

description: The multi-offset ground-penetrating radar (GPR) data can be used to estimate the snow and firn depth and density along the traversed route. When combined with information about the age of the firn, the radar-derived depth and density can be used to estimate the surface mass balance. These data are pre-processed, meaning, the radar waveforms are unprocessed, but have been quality controlled and georeferenced. The netcdf data files contain the georeferenced trace header and the unprocessed and multiplexed GPR traces. 
 Reference the accompanying manuscript:
 Meehan TG, Marshall HP, Bradford JH, Hawley RL, Overly TB, Lewis G, Graeter K, Osterberg E, McCarthy F (2020). Reconstruction of historical surface mass balance, 1984–2017 from GreenTrACS multi-offset ground-penetrating radar. Journal
 of Glaciology 1–10. https://doi.org/10.1017/jog.2020.91