cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a22r3nx7v
title: Collaborative Research: Linking belowground phenology and ecosystem function in a warming Arctic

description: This project comprises a four-year, passive warming experiment of low-Arctic tundra vegetation at a long-term study site in Greenland, with the primary aim of measuring the response of plant roots to warming, and the role of this response in ecosystem carbon exchange. Phenology, the annual timing and progression of events such as aboveground plant growth, is a well-studied an important component of the ecology of climate change, but remains under-studied belowground. This study will estimate and compare above- and belowground responses of plant phenology to warming and their respective contributions to ecosystem function, specifically the exchange of carbon between the atmosphere and tundra. It will furthermore determine which plant types, e.g., shrubs or grasses, show the greater belowground response to warming and contribution to ecosystem carbon exchange. 

Novel insights into the expected response of the Arctic to climate change will emerge from this experiment, which will also expand the infrastructure for field-based experimental and observational research in the Arctic. This research will promote the involvement of under-represented groups by recruitment of students through Penn State?s Minority Undergraduate Research Experience program, and promote education and dissemination of its results through a summer field ecology module at the study site and in courses at Penn State and the University of Alaska-Anchorage. Results will also be published in peer-reviewed journals and presented at international conferences by participating students and the Principal Investigators.
DOI: 10.18739/a2z02z926
title: Doctoral Dissertation Research: Mapping Community Exposure to Coastal Climate Hazards in the Arctic: A Case Study in Alaska's North Slope

description: This research investigates community exposure to coastal climate hazards in Alaska's North Slope and incorporates community assessment of the potential effects on loss of land, infrastructure, and other assets. This analysis will inform response strategies and planning by developing new methods of hazard assessment that can support community resilience in the North Slope and potentially serve as a model for advancing assessment and planning in other rural and urban communities. This research will expand traditional assessments of financial exposure to also include non-material factors such as values and priorities of diverse social groups within a community including a diverse set of stakeholders, ranging from multinational oil companies to individual subsistence hunters. This study surveys community views of asset importance and integrates results with a geophysical hazard data model for a coproduced community exposure map of the North Slope coast. This research will contribute to understanding the human and social dimensions of climate change impacts, including how social, economic, political, and cultural factors shape vulnerabilities and condition response strategies. Methods and findings could enhance nation-wide efforts in the United States to map community exposure to coastal climate hazards by demonstrating methods for, and the importance of systematically incorporating non-market values in exposure analysis.

The objectives of the proposed research include adapting the U.S. Geological Survey's (USGS) coastal vulnerability index (CVI) to the Arctic context, and integrating results with formal asset databases and a spatial community landscape value model while working with affected communities during the process to coproduce exposure maps. Specifically, working with North Slope Alaskan communities the study will incorporate wind fetch (i.e., the open water distance over which wind can generate near shore waves, determined by sea ice extent) into the CVI and get community feedback on the results. In addition to community input on the CVI maps, coproducing the exposure maps includes the community assigning values to traditional land use places using existing spatial datasets and mapping and investigating specific sites threatened by coastal hazards with the aim to learn why exposed assets threaten the community.
DOI: 10.18739/a2pk0728w
title: Ocean forcing of the Greenland ice sheet from 1850 to 2100

description: The Ice Sheet Model Intercomparison Project (ISMIP6) is an international effort aimed at estimating future sea level contribution from the Greenland and Antarctic Ice Sheets. To achieve this aim, ice sheet model simulations were run from the present day to 2100 with ocean and atmospheric boundary conditions derived from global climate models. This submission includes the code, key variables and boundary conditions relating to the ocean boundary conditions for Greenland ice sheet models. For 7 different climate models and scenarios over the period 1950-2100 we present (i) estimated thermal forcing for 7 ice-ocean sectors surrounding the ice sheet, (ii) estimated subglacial runoff from 194 tidewater glaciers around the ice sheet, (iii) estimated submarine melt rate for the same set of tidewater glaciers, and (iv) projected tidewater glacier retreat, averaged over the 7 ice-ocean sectors. These datasets quantify key variables that will be of great use to research into the future response of the Greenland ice sheet-ocean system.
DOI: 10.18739/a2f18sg0c
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: 10.18739/a29882n60
title: Surface Energy Budgets at Arctic Terrestrial Sites: Quantifying Energy and Momentum Fluxes and their Associated Physical Processes

description: This project will perform diagnostic analyses of the processes modulating the surface radiative, turbulent, and conductive fluxes at several Study of Environmental Arctic Change (SEARCH) climate observatories located around the Arctic Ocean in Canada, Alaska, and Siberia to investigate the annual cycle of the surface energy budget (SEB) and its coupling to atmospheric and surface processes. Where necessary, existing observations will be augmented to complete the suite of SEB measurements. Data exist or will be obtained to focus on the following scientific questions: (i) What processes govern the SEB at Arctic terrestrial sites? What role do local effects such as terrain or coastlines play? How large is the local spatial SEB heterogeneity? How do the physical processes affecting the SEB differ among the various sites? How do these SEB climatologies compare with a sea-ice regime as represented by the SHEBA site, or with that of Greenland? Which SEB terms might be impacted by climate change and how? (ii) What is the relative contribution from classical Monin-Obukhov similarity (MOS) and non-MOS processes to heat and momentum fluxes at Arctic terrestrial sites? Are existing bulk algorithms for surface turbulent fluxes in models applicable at Arctic sites or is the development of new ones necessary? (iii) Which SEB terms determine the soil temperatures and the active layer depth? What mechanisms force variability in those terms? How does the annual cycle of snow cover at each site influence the SEB and thus temperature regimes? Comparisons of key processes at these terrestrial sites will be made to those done by other researchers over Arctic sea ice and on Greenland. These coordinated observations and analyses, which provide process understanding of atmospheric-soil interactions in the Arctic, are rare and will be of interest to a broad spectrum of the scientific community, including the remote sensing and modeling communities. The resulting data and analyses will likely be key data sources for future model studies in a variety of disciplines. Physical understanding of the modulation of energy fluxes to permafrost should provide enhanced understanding of the potential for the greenhouse gas release process in climate-change scenarios. The project takes advantage of interagency and international collaborations with investigators located around the Arctic (USA, Canada, and Russia) and will contribute to education on Arctic climate systems through partnership with the CIRES Education and Outreach group, leading to teacher development and classroom implementation of new climate topics.
DOI: 10.18739/a25h7bv2v
title: Passive acoustic data from A2 in the Bering Strait 2014-2015

description: Passive acoustic data from instruments on moorings in the Bering Strait region. The data for this instrument were collected at 65.78 N latitude and 168.57 W longitude. Data were recorded from 10 Hz - 4096 Hz (8 kHz sample rate) the first 20 minutes of each hour from July 2014- July 2015.
DOI: 10.18739/a21r6n18h
title: Passive acoustic data from A3 in the Bering Strait 2014-2015

description: Passive acoustic data from instruments on moorings in the Bering Strait region. The data for this instrument were collected at 66.76 N latitude and 168.95 W longitude. Data were recorded from 10 Hz - 4096 Hz (8 kHz sample rate) the first 20 minutes of each hour from July 2014- July 2015.
DOI: 10.15468/dl.6tvgbj
title: Occurrence Download

description: A dataset containing 6 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 (Nemosenecio yunnanensis B.Nord.)"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027797-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2x34ms58
title: Passive acoustic data from A2 in the Bering Strait, 2013-2014

description: Passive acoustic data from instruments on moorings in the Bering Strait region. The data for this instrument were collected at 65.78 N latitude and 168.568 W longitude. Data were recorded from 10 Hz - 8192 Hz (16 kHz sample rate) the first 10 minutes of each hour from July 2013-July 2014.
DOI: 10.15468/dl.9eha5f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((38.53168 -4.9175, 38.53167 -4.9175, 38.53167 -4.919167, 38.53083 -4.919167, 38.53083 -4.919983, 38.53083 -4.92, 38.53009 -4.92, 38.53 -4.92, 38.53 -4.921667, 38.52917 -4.921667, 38.52917 -4.922485, 38.52917 -4.9225, 38.52833 -4.9225, 38.52833 -4.924167, 38.52832 -4.924167, 38.5275 -4.924167, 38.5275 -4.924988, 38.5275 -4.925, 38.52667 -4.925, 38.52667 -4.925, 38.52667 -4.926667, 38.52583 -4.926667, 38.52583 -4.92749, 38.52583 -4.9275, 38.52509 -4.9275, 38.525 -4.9275, 38.525 -4.929077, 38.525 -4.929167, 38.52429 -4.929167, 38.52417 -4.929167, 38.52417 -4.929993, 38.52417 -4.93, 38.52333 -4.93, 38.52333 -4.931667, 38.52252 -4.931667, 38.5225 -4.931667, 38.5225 -4.932495, 38.5225 -4.9325, 38.52173 -4.9325, 38.52167 -4.9325, 38.52167 -4.934082, 38.52167 -4.934167, 38.52087 -4.934167, 38.52083 -4.934167, 38.52083 -4.935, 38.52083 -4.936585, 38.52083 -4.936667, 38.52008 -4.936667, 38.52 -4.936667, 38.52 -4.94, 38.51917 -4.94, 38.51917 -4.943298, 38.51917 -4.943333, 38.51833 -4.943333, 38.51833 -4.954167, 38.51833 -4.956604, 38.51833 -4.956667, 38.51917 -4.956667, 38.51917 -4.959167, 38.52 -4.959167, 38.52 -4.960833, 38.52083 -4.960833, 38.52083 -4.9625, 38.52087 -4.9625, 38.52167 -4.9625, 38.52167 -4.962524, 38.52167 -4.963333, 38.52417 -4.963333, 38.52417 -4.964167, 38.52583 -4.964167, 38.52583 -4.965, 38.52588 -4.965, 38.53 -4.965, 38.53 -4.965027, 38.53 -4.965833, 38.53748 -4.965833, 38.5375 -4.965833, 38.5375 -4.966667, 38.53917 -4.966667, 38.53917 -4.966675, 38.53917 -4.9675, 38.53931 -4.9675, 38.54167 -4.9675, 38.54167 -4.967529, 38.54167 -4.968333, 38.5425 -4.968333, 38.5425 -4.965027, 38.5425 -4.965, 38.54327 -4.965, 38.54333 -4.965, 38.54333 -4.960833, 38.54417 -4.960833, 38.54417 -4.960815, 38.54417 -4.956667, 38.545 -4.956667, 38.545 -4.954167, 38.54583 -4.954167, 38.54583 -4.950833, 38.54667 -4.950833, 38.54667 -4.948333, 38.5475 -4.948333, 38.5475 -4.945833, 38.54833 -4.945833, 38.54833 -4.9425, 38.54917 -4.9425, 38.54917 -4.940833, 38.54833 -4.940833, 38.54833 -4.940796, 38.54833 -4.94, 38.5475 -4.94, 38.5475 -4.939167, 38.54749 -4.939167, 38.54667 -4.939167, 38.54667 -4.938333, 38.54583 -4.938333, 38.54583 -4.930833, 38.545 -4.930833, 38.545 -4.926697, 38.545 -4.926667, 38.54431 -4.926667, 38.54417 -4.926667, 38.54417 -4.925833, 38.54333 -4.925833, 38.54333 -4.925781, 38.54333 -4.924167, 38.5425 -4.924167, 38.5425 -4.923333, 38.54248 -4.923333, 38.54167 -4.923333, 38.54167 -4.921692, 38.54167 -4.921667, 38.54089 -4.921667, 38.54083 -4.921667, 38.54083 -4.920833, 38.54 -4.920833, 38.54 -4.91919, 38.54 -4.919167, 38.53931 -4.919167, 38.53917 -4.919167, 38.53917 -4.918333, 38.53583 -4.918333, 38.53583 -4.9175, 38.53168 -4.9175))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027798-241107131044228/datasets/export for details.
DOI: 10.18739/a2sb3x021
title: Passive acoustic data from A4 in the Bering Strait, 2013-2014

description: Passive acoustic data from instruments on moorings in the Bering Strait region. The data for this instrument were collected at 65.75 N latitude and 168.25 W longitude. Data were recorded from 10 Hz - 8192 Hz (16 kHz sample rate) the first 10 minutes of each hour from July 2013-July 2014.
DOI: 10.18739/a2nk3658n
title: Passive acoustic data from A3 in the Bering Strait, 2012-2014

description: Passive acoustic data from instruments on moorings in the Bering Strait region. The data for this instrument were collected at 66.76 N latitude and 168.95 W longitude. Data were recorded from 10 Hz - 8192 Hz (16 kHz sample rate) the first 10 minutes of each hour from September 2012-May 2013 and July 2013-July 2014
DOI: 10.18739/a2ht2gc4h
title: Passive acoustic data from A4W in the Bering Strait, 2012-2013

description: Passive acoustic data from instruments on moorings in the Bering Strait region. The data for this instrument were collected at 65.75 N latitude and 168.35 W longitude. Data were recorded from 10 Hz - 8192 Hz (16 kHz sample rate) the first 10 minutes of each hour from September 2012-May 2013.
DOI: 10.18739/a2d21rk0p
title: Integrating Passive Acoustic Monitoring in long-term oceanographic observations of the Bering Strait

description: This project aims to establish a base program for year-round acoustic monitoring of marine mammals in Bering Strait. Instrumentation will be added onto an existing high resolution physical and biological mooring program (National Science Foundation-Arctic Observing Network (AON) and Russian American Long-term Census of the Arctic), also supported by annual survey data. The combination of these data sets will provide urgently required, base-line information on how species presence varies seasonally with changes in sea ice, currents, ocean water temperatures and freshwater flow. Building on opportunistic proof-of-concept deployments in the strait in the last 2 years, the proposed effort will also provide critical, consistent data on interannual variability. The research project will test cutting edge scientific hypotheses such as: how do oceanographic conditions dictate the residency of different marine mammal species? Are temperate species invading the Arctic? What is the correlation between ice cover and marine mammal sound production? The Bering Strait is the only oceanic connection between the Pacific and the Arctic oceans. It is through this narrow (~85 km) passageway that the entire population of Bering-Chukchi-Beaufort bowhead whales passes twice yearly and that herds of beluga whales access Arctic waters. It is thought to be year-round habitat for ice seals and walrus. The Bering Strait is also the path by which Pacific sub-Arctic marine species are invading the Arctic. As the Northwest Passage becomes a viable Pacific-Atlantic shipping route, every ship along this route will pass through Bering Strait. It is, therefore, the region where climate change and changing anthropogenic utilization may have sizeable impacts on local marine fauna, and where changing fluxes of marine mammals to the Arctic can be well observed. Passive acoustic monitoring is the only method currently available to identify year-round, and in all weather conditions, the presence of marine mammals and other physical (ice movement) or anthropogenic (ships, oil and gas seismic exploration) sounds.
DOI: 10.18739/a28911r69
title: Passive acoustic data from Davis Strait - C6, 2011-2013

description: Passive acoustic data from instruments on moorings across Davis Strait. The data for this instrument were collected at 67.1 N latitude and 56.7 W longitude. Data were recorded from 1 Hz - 2 kHz (5 kHz sample rate) the first 15 minutes of each hour from October 2011-September 2013.
DOI: 10.17031/67404ea8504fa
title: CPR Data request - North Sea Herring - 22/11/2024

description: All CPR samples.
From January 1958 to December 2021.
From 48 to 62 North, and -5 to 10 East.
All taxa (category 1 and 2) for large zooplankton (78), small zooplankton (70) and phytoplankton (148).
See guidelines in the archive.
DOI: 10.18739/a24j09z25
title: Passive acoustic data from Davis Strait - C1, 2011-2013

description: Passive acoustic data from instruments on moorings across Davis Strait. The data for this instrument were collected at 66.7 N latitude and 60.8 W longitude. Data are recorded from 1 Hz - 2 kHz (5 kHz sample rate) the first 15 minutes of each hour from October 2011-September 2013.
DOI: 10.18739/a2w37kw6h
title: Coordination, Data Management and Enhancement of the International Arctic Buoy Programme [2013-2016]

description: This project is a renewal of the National Science Foundation (NSF) funding of the International Arctic Buoy Programme (IABP) through the U.S. Interagency Arctic Buoy Program (USIABP). The project will coordinate data management and deployment of enhanced buoys by the USIABP. The IABP provides long-term observations from the Arctic Ocean which are essential for Arctic forecasting and research. This project supports a network of automatic data buoys to monitor synoptic-scale fields of surface air pressure, air temperature, and ice motion throughout the Arctic Ocean, an activity that was recommended by the National Academy of Sciences in 1974. University of Washington s Applied Physics Laboratory (APL) initiated the program in 1978 and became the IABP in 1991 to provide meteorological and oceanographic data for real-time operational requirements and research purposes including support to the World Climate Research Programme and the World Weather Watch Programme. The observations from the IABP have been essential for: 1.) Monitoring Arctic and global climate change; 2.) Forecasting weather and sea ice conditions; 3.) Forcing, assimilation and validation of global weather and climate models; 4.) Validation of satellite data; etc. These observations provide the longest continuing record for the Arctic, and have been one of the cornerstones for environmental forecasting and studies of climate and climate change. The IABP is composed of 20 different research and operational institutions from 9 different countries (found at: http://iabp.apl.washington.edu/Participants.htm ). The IABP is funded and managed by participants of the program. Management of the IABP is the responsibility of the Executive Committee, and operation of the program was delegated to the Coordinator of the IABP, Ignatius Rigor.
DOI: 10.18739/a2rb6w32s
title: Coordination, Data Management and Enhancement of the International Arctic Buoy Programme [1979-2012]

description: This project is a renewal of the National Science Foundation (NSF) funding of the International Arctic Buoy Programme (IABP) through the U.S. Interagency Arctic Buoy Program (USIABP). The project will coordinate data management and deployment of enhanced buoys by the USIABP. The IABP provides long-term observations from the Arctic Ocean which are essential for Arctic forecasting and research. This project supports a network of automatic data buoys to monitor synoptic-scale fields of surface air pressure, air temperature, and ice motion throughout the Arctic Ocean, an activity that was recommended by the National Academy of Sciences in 1974. University of Washington s Applied Physics Laboratory (APL) initiated the program in 1978 and became the IABP in 1991 to provide meteorological and oceanographic data for real-time operational requirements and research purposes including support to the World Climate Research Programme and the World Weather Watch Programme. The observations from the IABP have been essential for: 1.) Monitoring Arctic and global climate change; 2.) Forecasting weather and sea ice conditions; 3.) Forcing, assimilation and validation of global weather and climate models; 4.) Validation of satellite data; etc. These observations provide the longest continuing record for the Arctic, and have been one of the cornerstones for environmental forecasting and studies of climate and climate change. The IABP is composed of 20 different research and operational institutions from 9 different countries (found at: http://iabp.apl.washington.edu/Participants.htm ). The IABP is funded and managed by participants of the program. Management of the IABP is the responsibility of the Executive Committee, and operation of the program was delegated to the Coordinator of the IABP, Ignatius Rigor.