cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a26h4cr04
title: High Spectral Resolution Lidar Deployed at Eureka Nunavut Canada - Processed Data Files

description: Daily NetCDF files from the Arctic High Spectral Resolution Lidar deployed at Eureka, Nunavut, Canada. Fields include aerosol backscatter and circular depolarization ratio. This dataset is an ongoing collection and is updated daily. View the near-realtime data at the Home Page link below. Instrument deployed by Ed Eloranta at the University of Wisconsin. As additional resources for cloud properties derived from a combination of Millimeter Cloud Radar (MMCR), High Spectral Resolution Lidar (HSRL), and Atmospheric Emitted Radiance Interferometer (AERI) data, go to the following locations within the CADIS Portal: Atmosphere/Cloud Properties Across the Arctic Basin from Surface and Satellite Measurements/Cloud occurrence and layering at Arctic atmospheric observatories AND Atmosphere/Development of Data Products for the University of Wisconsin High Spectral Resolution Lidar. Contact Ed Eloranta at eloranta@lidar.ssec.wisc.edu for questions regarding the lidar data. This is an International Arctic Systems for Observing the Atmosphere (IASOA) data set.
DOI: 10.18739/a2z02z894
title: Plant growth and flowering in the Arctic System Science Program (ARCSS) grid at Barrow and Atqasuk, Alaska 2019

description: Arctic ecosystems are changing in response to arctic warming, which is proceeding more than twice as fast as the global average. The International Tundra Experiment (ITEX) was established in the early 1990s to understand the effects of warming and environmental variability on tundra vegetation properties and ecosystem function. The ITEX program has been extremely valuable for detection of changes in tundra plant and ecosystem responses to experimental warming and to background climate change across sites that span the major ecosystems of the Arctic.
 These files contain data representing the periodic plant measures of species within each plot in a text tab delimited format. The data presented are seasonal growth of graminoids (length of leaf, and length of inflorescence) and seasonal flowering of all species (number of inflorescences in flower within a plot), collected weekly during the summer of 2019 for a subset of 30 grid plots at two sites (Barrow ARCSS grid and Atqasuk ARCSS grid).
DOI: 10.18739/a21r6n14k
title: Arc5km2018: Arctic Ocean Inverse Tide Model on a 5 kilometer grid, 2018

description: The Arctic Ocean Tidal Inverse Model developed in 2018 (Arc5km2018) is a barotropic tide model on an idealized 5 kilometer polar stereographic grid. It is an update to the original Arctic Ocean Tidal Inverse Model (AOTIM5) model developed in 2004 (Padman and Erofeeva, 2004). Arc5km2018 was created using the OSU Tidal Inversion Software (OTIS) package. The bathymetry grid is based on the original International Bathymetric Chart of the Arctic Ocean (IBCAO) bathymetry (Jakobsson et al., 2000). Arc5km2018 was developed using the scheme described in Egbert and Erofeeva (2002), and consists of grids of sea surface height and depth-integrated currents ("volume transports") for each of 12 tidal constituents; 5 semidiurnal (M2, S2, K2, N2, 2N2), 4 diurnal (K1, O1, P1, Q1), and 3 non-linear (M4, MS4, MN4). Arc5km2018 assimilates coastal and benthic tide gauges, and TOPEX/Poseidon/Jason and European Space Agency (ESA) satellite radar altimetry, to improve the five largest-amplitude constituents, M2, S2, N2, K1 and O1. Arc5km2018 includes the following updates relative to AOTIM5: (1) it uses an improved prior model with ocean open boundary forcing from an updated TOPEX/Poseidon global barotropic global tide solution (TPXO9.1); (2) it adds four tidal constituents, 2N2 and the three non-linear constituents; and (3) it assimilates much longer time series of altimetry, notably from the ESA satellites that sample to 81.5 degrees north.
 We recommend that users compare results from Arc5km2018 and AOTIM5, which is also available at the Arctic Data Center, before deciding which to use for a specific application. Please also check the ESR Polar Tide Model webpage for more recent Arctic barotropic tide models.
 
 
 Egbert, G. D., and S. Y. Erofeeva (2002), Efficient inverse modeling of barotropic ocean tides, Journal of Atmospheric and Oceanic Technology, 19(2), 183-204.
 
 
 
 
 Padman, L., and S. Erofeeva (2004), A barotropic inverse tidal model for the Arctic Ocean, Geophysical Research Letters, 31(2), L02303.
DOI: 10.18739/a2x05xd00
title: Active layer thickness in the watershed of the Yukon River (Indigenous Observation Network), 2019.

description: The dataset presents results of measurements of the thickness of the active layer (ALT) as a part of a continuation of the Indigenous Observing Network (ION) project (ION 2.0) led by the Yukon River Intertribal Watershed Council (YRITWC) in partnership with the University of Alaska-Fairbanks. ION 2.0 continues the measurements of water quality constituents and expands the observation and monitoring program to include measurements of changes in the state of permafrost due to dynamics of the ALT at numerous of the long-term water quality monitoring sites at the communities along the Yukon River. The ION project has documented the long-term changes in major ion chemistry that have occurred over three decades throughout the Yukon River Watershed. The investigators have interpreted these changes as being driven by thawing of discontinuous permafrost throughout this large Arctic watershed and complementary measurements of the active layer will support further interpretation and modelling. This project involves significant co-production of knowledge with members of Indigenous communities and capacity building through training in sampling methods, and sample and data analysis.
DOI: 10.18739/a2s756k73
title: Ceilometer Cloud Base Height Measurements at Summit Station, Greenland, 2017

description: This data set contains measurements from a Vaisala ceilometer that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. This ceilometer points near-vertically and provides estimates of cloud base height (for up to three layers) and the total visibility, based on Vaisala's proprietary algorithm. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The ceilometer is owned by the Department of Energy Atmospheric Radiation Measurement Program. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.15468/dl.tm6gax
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((38.2975 -5.175, 38.2975 -5.175833, 38.29667 -5.175833, 38.29667 -5.176667, 38.29583 -5.176667, 38.29583 -5.1775, 38.295 -5.1775, 38.295 -5.178333, 38.29417 -5.178333, 38.29417 -5.179167, 38.29333 -5.179167, 38.29333 -5.180833, 38.2925 -5.180833, 38.2925 -5.181667, 38.29167 -5.181667, 38.29167 -5.183333, 38.29083 -5.183333, 38.29083 -5.184167, 38.29 -5.184167, 38.29 -5.185833, 38.28917 -5.185833, 38.28917 -5.1875, 38.28833 -5.1875, 38.28833 -5.188333, 38.2875 -5.188333, 38.2875 -5.1925, 38.28667 -5.1925, 38.28667 -5.199167, 38.2875 -5.199167, 38.2875 -5.201667, 38.28917 -5.201667, 38.28917 -5.2025, 38.29 -5.2025, 38.29 -5.203333, 38.29083 -5.203333, 38.29083 -5.204167, 38.2925 -5.204167, 38.2925 -5.205, 38.29333 -5.205, 38.29333 -5.205833, 38.29417 -5.205833, 38.29417 -5.206667, 38.295 -5.206667, 38.295 -5.2075, 38.29667 -5.2075, 38.29667 -5.208333, 38.2975 -5.208333, 38.2975 -5.209167, 38.3 -5.209167, 38.3 -5.21, 38.3025 -5.21, 38.3025 -5.210833, 38.305 -5.210833, 38.305 -5.211667, 38.30667 -5.211667, 38.30667 -5.210833, 38.3075 -5.210833, 38.3075 -5.21, 38.30833 -5.21, 38.30833 -5.208333, 38.30917 -5.208333, 38.30917 -5.2075, 38.31 -5.2075, 38.31 -5.206667, 38.31083 -5.206667, 38.31083 -5.205, 38.31167 -5.205, 38.31167 -5.204167, 38.3125 -5.204167, 38.3125 -5.2025, 38.31333 -5.2025, 38.31333 -5.201667, 38.31417 -5.201667, 38.31417 -5.2, 38.315 -5.2, 38.315 -5.199167, 38.31583 -5.199167, 38.31583 -5.1975, 38.31667 -5.1975, 38.31667 -5.196667, 38.3175 -5.196667, 38.3175 -5.195833, 38.31833 -5.195833, 38.31833 -5.195, 38.31917 -5.195, 38.31917 -5.194167, 38.32 -5.194167, 38.32 -5.193333, 38.32083 -5.193333, 38.32083 -5.1925, 38.32167 -5.1925, 38.32167 -5.191667, 38.3225 -5.191667, 38.3225 -5.190833, 38.32333 -5.190833, 38.32333 -5.19, 38.32417 -5.19, 38.32417 -5.189167, 38.32333 -5.189167, 38.32333 -5.189087, 38.32333 -5.186667, 38.3233 -5.186667, 38.3225 -5.186667, 38.3225 -5.184167, 38.32167 -5.184167, 38.32167 -5.180833, 38.32172 -5.180833, 38.3225 -5.180833, 38.3225 -5.180786, 38.3225 -5.178333, 38.31083 -5.178333, 38.31083 -5.1775, 38.30917 -5.1775, 38.30917 -5.176667, 38.3075 -5.176667, 38.3075 -5.175833, 38.30583 -5.175833, 38.30583 -5.175, 38.2975 -5.175))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027719-241107131044228/datasets/export for details.
DOI: 10.18739/a2nk36556
title: Ceilometer Cloud Base Height Measurements at Summit Station, Greenland, 2012

description: This data set contains measurements from a Vaisala ceilometer that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. This ceilometer points near-vertically and provides estimates of cloud base height (for up to three layers) and the total visibility, based on Vaisala's proprietary algorithm. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The ceilometer is owned by the Department of Energy Atmospheric Radiation Measurement Program. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.18739/a2ht2gc2j
title: Ceilometer Cloud Base Height Measurements at Summit Station, Greenland, 2013

description: This data set contains measurements from a Vaisala ceilometer that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. This ceilometer points near-vertically and provides estimates of cloud base height (for up to three layers) and the total visibility, based on Vaisala's proprietary algorithm. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The ceilometer is owned by the Department of Energy Atmospheric Radiation Measurement Program. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.18739/a2d21rj83
title: Ceilometer Cloud Base Height Measurements at Summit Station, Greenland, 2015

description: This data set contains measurements from a Vaisala ceilometer that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. This ceilometer points near-vertically and provides estimates of cloud base height (for up to three layers) and the total visibility, based on Vaisala's proprietary algorithm. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The ceilometer is owned by the Department of Energy Atmospheric Radiation Measurement Program. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.18739/a28911r3v
title: Ceilometer Cloud Base Height Measurements at Summit Station, Greenland, 2010

description: This data set contains measurements from a Vaisala ceilometer that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. This ceilometer points near-vertically and provides estimates of cloud base height (for up to three layers) and the total visibility, based on Vaisala's proprietary algorithm. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The ceilometer is owned by the Department of Energy Atmospheric Radiation Measurement Program. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.18739/a24j09x8m
title: Ceilometer Cloud Base Height Measurements at Summit Station, Greenland, 2014

description: This data set contains measurements from a Vaisala ceilometer that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. This ceilometer points near-vertically and provides estimates of cloud base height (for up to three layers) and the total visibility, based on Vaisala's proprietary algorithm. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The ceilometer is owned by the Department of Energy Atmospheric Radiation Measurement Program. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.18739/a20r9m45t
title: Ceilometer Cloud Base Height Measurements at Summit Station, Greenland, 2011

description: This data set contains measurements from a Vaisala ceilometer that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. This ceilometer points near-vertically and provides estimates of cloud base height (for up to three layers) and the total visibility, based on Vaisala's proprietary algorithm. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The ceilometer is owned by the Department of Energy Atmospheric Radiation Measurement Program. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.15468/dl.qz6fsp
title: Occurrence Download

description: A dataset containing 13040 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "GadmGid is one of (KEN.30_1, KEN.30.11.3_1)",
 "IucnRedListCategory is one of (CR, EN, VU, NT)",
 "OccurrenceStatus is Present",
 "Year 1990-2024"
 ]
}

 The dataset includes 13040 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027718-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2w08wh17
title: Ceilometer Cloud Base Height Measurements at Summit Station, Greenland, 2016

description: This data set contains measurements from a Vaisala ceilometer that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. This ceilometer points near-vertically and provides estimates of cloud base height (for up to three layers) and the total visibility, based on Vaisala's proprietary algorithm. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The ceilometer is owned by the Department of Energy Atmospheric Radiation Measurement Program. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.18739/a2qb9v612
title: Micropulse lidar (MPL) measurements taken at Summit Station, Greenland, 2015

description: This data set contains measurements from a MicroPulse LIDAR (MPL) that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The LIDAR is owned by the US Department of Energy's Atmospheric Radiation Measurement (ARM) Program. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program. Together these products will augment similar data sets that are produced at other locations across the Arctic.
DOI: 10.18739/a2kk94c7p
title: Micropulse lidar (MPL) measurements taken at Summit Station, Greenland, 2017

description: This data set contains measurements from a MicroPulse LIDAR (MPL) that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The LIDAR is owned by the US Department of Energy's Atmospheric Radiation Measurement (ARM) Program. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program. Together these products will augment similar data sets that are produced at other locations across the Arctic.
DOI: 10.18739/a2ft8dk22
title: Micropulse lidar (MPL) measurements taken at Summit Station, Greenland, 2016

description: This data set contains measurements from a MicroPulse LIDAR (MPL) that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The LIDAR is owned by the US Department of Energy's Atmospheric Radiation Measurement (ARM) Program. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program. Together these products will augment similar data sets that are produced at other locations across the Arctic.
DOI: 10.18739/a2b27pr74
title: Micropulse lidar (MPL) measurements taken at Summit Station, Greenland, 2010

description: This data set contains measurements from a MicroPulse LIDAR (MPL) that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The LIDAR is owned by the US Department of Energy's Atmospheric Radiation Measurement (ARM) Program. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program. Together these products will augment similar data sets that are produced at other locations across the Arctic.
DOI: 10.18739/a2t43j35h
title: Community-Based Documentation of Ice Seals and Walrus in the Bering Strait Region

description: The ice seal and walrus populations of the Bering Sea, as well as the subsistence users who utilize them, currently face many challenges. These include loss of sea ice and the expansion of development, fisheries activities, and marine shipping in the northern Bering Sea. Concern over the future of these species is growing, but existing science cannot conclusively predict how these factors will affect ice seals and walrus or the communities that depend on them. Local knowledge of the ecology and biogeography of these species, in addition to local use patterns, may help communities and policy makers understand current and future impacts of these environmental and anthropogenic changes. This is a community based research project through Kawerak Inc., the Alaska Native regional non-profit corporation. As part of this project, Kawerak researchers will be working with local community members to implement ethnographic and GIS spatial mapping methods in order to increase our understanding of Bering Strait region Iñupiat, Central Yup'ik, and St. Lawrence Island Yupik relationships with two important subsistence resources, ice seals and walrus whose habitat is being affected by environmental change. Through mapping spatial and temporal knowledge of ice seal and walrus habitat and ecology and subsistence use area, documenting the cultural importance of hunting ice seals and walrus, as well as the challenges to subsistence ice seal and walrus hunting (as seen by hunters), the project will contribute to an increased understanding of the complexity of social-environmental dynamics in the Arctic. The project will give a voice to local analyses and solutions of these problems which will in turn inform wildlife managers and policy makers. In addition, the project will contribute to an Arctic Atlas of Important Ecological Areas (IEAs) being developed by the international conservation group Oceana, which will in turn be a tool for the region's communities.
DOI: 10.18739/a2pc2t91c
title: Kawerak's Ice Seal and Walrus Project

description: The data for this project is contained in digitally recorded interviews, interview transcripts, photographs and spatial GIS data. All data is stored at the offices of Kawerak, Inc. in Nome, Alaska, USA. Publications associated with this data include: Gadamus, L. and J. Raymond-Yakoubian 2015 Qualitative participatory mapping of seal and walrus harvest and habitat areas: Documenting indigenous knowledge, preserving local values, and discouraging misuse. International Journal of Applied Geospatial Research 6(1): 76-93. Oceana and Kawerak, Inc. 2014 Bering Strait Marine Life and Subsistence Data Synthesis. Oceana, Juneau, Alaska. Kawerak, Inc. 2013 Seal and Walrus Harvest and Habitat Areas for Nine Bering Strait Region Communities. Kawerak Social Science Program. Nome, Alaska. Gadamus, Lily 2013 Linkages between human health and ocean health: a participatory climate change vulnerability assessment for marine mammal harvesters. International Journal of Circumpolar Health, 72. Kawerak, Inc. 2013 Seal and Walrus Hunting Safety: Traditional Knowledge from Kawerak's Ice Seal and Walrus Project. Kawerak Social Science Program. Nome, Alaska. Kawerak, Inc. 2013 Traditions of Respect: Traditional Knowledge from Kawerak's Ice Seal and Walrus Project. Kawerak Social Science Program. Nome, Alaska. Kawerak, Inc. 2014 Policy-based Recommendations from Kawerak's Ice Seal and Walrus Project. Kawerak Social Science Program. Nome, Alaska.