cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a26t0gx3n
title: Alaska Community Ice Observations - 2019/2020

description: This dataset contains community based observations of ice thickness throughout the winter of 2019/2020. Observations are co-located within or near communities participating in the Fresh Eyes on Ice project, seeking to expand spatial coverage of ice observations and science literacy in classrooms around the state. This spatially distributed dataset provides valuable information about ice thickness through the winter of 2019 and 2020 on lakes and rivers around Alaska, including Big Lake near Venetie, Alaska, Brown's Slough in Bethel, Alaska, Noyes Slough in Fairbanks, Alaska, the Tanana River near Fairbanks, Alaska, Shageluk Lake near Shageluk, Alaska, Third Lake near Noatak, Alaska, Alexander Lake in Galena, Alaska, Smith Lake near Fairbanks, Alaska, Big Trail Lake near Fairbanks, Alaska, and Toolik Lake at Toolik Research Station, Alaska. These observations were made by drilling of 3 holes in an undisturbed location at the site by students, teachers, and community members, as well as members of the Fresh Eyes on Ice project. Snow depth was recorded at each of the holes prior to drilling.
DOI: 10.18739/a2348gh3g
title: Understory vegetation cover across a post-fire tree density gradient in far northeastern Siberia, 2016-2017

description: In Siberian larch forests, tree density has multiple consequences for both above- and belowground carbon (C) pools within trees and soils as stands mature, but tree density could also influence understory vegetation cover and associated C pools. The primary objective of this study was to determine how fire-driven changes in tree density affect understory vegetation as stands mature within Cajander larch dominated forests of far northeastern Siberia. During the summers of 2016-2017, we surveyed understory plant communities within a 1940 wildfire perimeter near Cherskiy, Russia. Since 1940, different forest stands within the burn perimeter have developed with different larch tree density, and we surveyed plant communities and associated stand and environmental conditions across 25 stands within the perimeter (3 plots per stand, 75 plots total).
DOI: 10.18739/a2xd0qz6t
title: Time series of water temperature, specific conductance, and oxygen from Toolik Lake, North Slope, Alaska, 2012-2013

description: Lakes are abundant in the terrestrial arctic, extending over about one quarter of the territory. For approximately nine months of the year, the waters of arctic lakes are under ice. Despite the duration of the ice-covered period, few studies have addressed the limnology (biological, chemical, and physical features) of these lakes during winter and how conditions under ice affects the stratification of lakes during the summer. We aim to look at the full year cycle lake circulation in order to quantify the effects of hydrodynamics on nutrient and gas fluxes and place the results within the context of climate change in the Arctic. The goals of our study include: (1) quantifying physical and biogeochemical controls on under ice thermal structure and circulation, the flowpath of snow melt, and mixing during spring and fall (2) quantifying respiration rates in arctic lakes of differing morphology and on geological substrates (3) illustrating the linkages and feedbacks between these physical and biogeochemical processes.
 Our research is being conducted in lakes studied by the Arctic Long Term Ecological Research (ARC LTER). The selected lakes are: Toolik Lake, Lake E1, Lake E5, Lake E6 and Lake N2. The Lakes range in size from 1 to 1500 hectares.
 Time series of water temperatures, specific conductance and dissolved oxygen at several depths were obtained from a taut-line mooring in different seasons (summer and winter) across multiple years (between fall 2012 and fall 2016).
DOI: 10.18739/a2nv99b85
title: LeConte Glacier meteorological data 2016-2017, Alaska

description: In 2016-2017 we conducted a field study at LeConte Glacier, Alaska, to study the impacts of subglacial discharge on plume dynamics and submarine melting. As part of that study we operated a Campbell Scientific weather station near the glacier terminus that recorded temperature, rain, wind speed and direction, humidity, incoming shortwave radiation, and barometric pressure. In addition, we also deployed HOBO temperature sensors and tipping bucket rain gauges at two locations: one was across the terminus from the base camp and the other was about 7 km upglacier from the terminus.
DOI: 10.18739/a2154dq22
title: Arctic Ocean freshwater storage and fluxes from CMIP6 model ensembles 1950-2100

description: This dataset includes timeseries of monthly Arctic freshwater storage and fluxes calculated for the ensemble members of seven climate models participating in the Coupled Model Intercomparison Project phase 6 (CMIP6): CanESM5 (Canadian Earth System Model version 5), CESM2 (Community Earth System Model version 2), CNRM-CM6-1 (Centre National de Recherches Météorologiques Climate Model version 6.1), IPSL-CM6A-LR (Institut Pierre‐Simon Laplace Climate Model version 6), MIROC6 (Model for Interdisciplinary Research on Climate version 6), MPI-ESM1-2-LR (Max Planck Institute Earth System Model version 1.2), and UKESM1-0-LL (U.K. Earth System Model version 1). All freshwater terms are computed relative to a reference salinity of 34.8. The files cover three CMIP6 experiments--the historical (1950-2015), and two ScenarioMIP future forcing scenarios, SSP1-2.6 and SSP5-8.5 (both spanning 2015-2100). Also included is a decomposition of the liquid freshwater fluxes into their time-varying salinity and volume contributions in all Arctic gateways (Bering, Nares, Barrow, Fram, and Davis straits and the Barents Sea Opening) spanning 2000-2100 for both SSP1-2.6 and SSP5-8.5. In both cases, the first 15 years of the output (2000-2015) is from the historical experiment and the remaining years (2015-2100) from the respective future forcing scenario. For some models, the future forcing scenarios have fewer ensemble members than the historical experiment, so for the liquid flux decomposition only the historical ensemble members with future scenario counterparts are included. The data is stored in netcdf format with metadata included in each file. Data were produced for the publication Zanowski et al. 2021 (citation below). This work was funded by the National Science Foundation Office of Polar Programs under award NSF-OPP 1504348. The original model output that the timeseries are derived from is publicly available from the Earth System Grid Federation at https://esgf-node.llnl.gov/search/cmip6/.
 Zanowski, H., A. Jahn, and M.M. Holland, 2021: Arctic Ocean freshwater storage and fluxes in CMIP6 ensembles: Declining sea ice, increasing ocean storage and export. JGR Oceans, doi: 10.1029/2020JC016930
DOI: 10.18739/a2rn3083q
title: Vault lake thermokarst methane cycling, Goldstream valley, Spring 2013-2017

description: Thermokarst (thaw) lake sediments are natural chronosequences presenting an outlook of future changes for one of the largest terrestrial carbon stocks in an ever warming Earth. Permafrost thawing and microbial breakdown of organic matter is expected to release a large fraction as methane, a potent greenhouse gas. This feedback can accelerate climate change, but potential mitigating processes in anaerobic environments remain uncertain.
 Here we present stable isotope methane measurements and tracer incubations that identify sediment layers with active anaerobic oxidation of methane. By using high-resolution sequencing of phylogenetic marker genes we show that these layers exhibit microbial assemblages responsible for scavenging methane in deeply thawed permafrost sediments beneath a high methane emitting thermokarst lake in central Alaska. Quantification of responsible methane oxidizers using specific mcrA primer revealed numbers equaling the remaining microbial community in the same sediment layers. Calculating of isotopic fractionation revealed the potential microbial oxidation of 40 to 80% of in situ methane at the deep permafrost thaw front. Altogether our results shows that in deeply thawed subaquatic permafrost with near 0°C temperature anaerobic oxidation of methane takes place, which is important to understand the global methane budget.
DOI: 10.18739/a2mw28g02
title: Thermal state of permafrost in North America - annually observed ground temperatures, 2020

description: This work coordinates data collection using standard equipment and protocols at North American and Russian sites. These data sets provide the baseline to assess the future rates of change in near-surface permafrost temperatures and permafrost boundaries, and to provide spatial data for validation of climate scenario models and temperature reanalysis approaches. The work represents the United States (US) contribution to the ongoing activities of the Global Terrestrial Network for Permafrost that obtains temperatures in a large number of globally distributed monitoring sites in order to provide a snapshot of permafrost temperatures in both time and space.
 The US National Science Foundation funded this work with award #0520578, #0632400, #0856864, and #1304271.
DOI: 10.15468/dl.mjbghp
title: Occurrence Download

description: A dataset containing 543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Humulus lupulus var. cordifolius (Miq.) Maxim."
 ]
}

 The dataset includes 543 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027862-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8cwdjx
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ledermanniella tenuifolia (G.Taylor) C.Cusset"
 ]
}

 The dataset includes 21 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027861-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2h70818v
title: Climate change damages to Alaska public infrastructure and the economics of proactive adaptation, 2015-2017

description: This dataset holds information on data and methods for the Melvin et al., 2016 publication entitled Climate change damages to Alaska public infrastructure and the economics of proactive adaptation. The abstract for this paper is as follows:
 Climate change in the circumpolar region is causing dramatic environmental change that is increasing the vulnerability of infrastructure. We quantified the economic impacts of climate change on Alaska public infrastructure under relatively high and low climate forcing scenarios [representative concentration pathway 8.5 (RCP8.5) and RCP4.5] using an infrastructure model modified to account for unique climate impacts at northern latitudes, including near-surface permafrost thaw. Additionally, we evaluated how proactive adaptation influenced economic impacts on select infrastructure types and developed first-order estimates of potential land losses associated with coastal erosion and lengthening of the coastal ice-free season for 12 communities. Cumulative estimated expenses from climate-related damage to infrastructure without adaptation measures (hereafter damages) from 2015 to 2099 totaled $5.5 billion (2015 dollars, 3% discount) for RCP8.5 and $4.2 billion for RCP4.5, suggesting that reducing greenhouse gas emissions could lessen damages by $1.3 billion this century. The distribution of damages varied across the state, with the largest damages projected for the interior and southcentral Alaska. The largest source of damages was road flooding caused by increased precipitation followed by damages to buildings associated with near-surface permafrost thaw. Smaller damages were observed for airports, railroads, and pipelines. Proactive adaptation reduced total projected cumulative expenditures to $2.9 billion for RCP8.5 and $2.3 billion for RCP4.5. For road flooding, adaptation provided an annual savings of 80–100% across four study eras. For nearly all infrastructure types and time periods evaluated, damages and adaptation costs were larger for RCP8.5 than RCP4.5. Estimated coastal erosion losses were also larger for RCP8.5.
DOI: 10.18739/a23x83m74
title: Temperature and pressure from a deep mooring in Sermilik Fjord from August 2011 to September 2012

description: Temperature and pressure data from a SeaBird Microcat deployed at ~860 meters (m) in Sermilik Fjord from August 2011 to September 2012. The Microcat (SN 5926) was deployed in one of the deepest sections of the fjord. The Microcat sampled every 7.5 minutes. It did not return reliable conductivity data, likely because the sensor was quickly fouled with silt. These data were collected as part of a long-term project to monitor Sermilik Fjord to determine what water masses flow into the fjord; in particular, if warm, Atlantic water from the Irminger Sea is able to penetrate into the fjord. Observations have been collected in the fjord since 2008.
DOI: 10.18739/a2g737493
title: Baseline of Next-Generation Arctic Marine Shipping Assessments - Oldest Pan-Arctic Satellite Automatic Identification System (AIS) Data Record of Maritime Ship Traffic, ancillary data 2011-2012

description: The Arctic is prominent in the history of the International Maritime Organization (IMO), following the RMS Titanic disaster in 1912 and soon signing in London of the Convention for the Safety of Life at Sea in 1914. Eighty years later, the IMO initiated a process to manage shipping in ice-covered oceans. In concert with the IMO Guidelines for Ships Operating in Arctic Ice-Covered Waters in 2002 and their 2004 release of the Arctic 2004 Arctic Climate Impact Assessment, the Arctic Council initiated the Arctic Marine Shipping Assessment (AMSA), which issued its final report in 2009. Primary sources of data for AMSA involved ship tracking from ground-station Automatic Identification System (AIS), shore-based radar systems and details of fishing vessels as well as other smaller ships provided by the Arctic nations. However, Arctic ship traffic fundamentally changed the year of the AMSA report, when satellite AIS records began providing continuous, synoptic, pan-Arctic coverage of individual ships with data pulsed over seconds to minutes. This data packages contains data collected by satellite AIS from from 1 January 2011 through 31 December 2012. Future questions can be considered to assess ship attributes (including vessel flag state, size and type) in view of biophysical and socio-economic variables, recognizing that shipping and sea ice are recognized as primary drivers of change in the Arctic Ocean. Contributions to these assessments come from all areas of science (inclusively defined as the study of change), across the natural and social sciences with Indigenous knowledge in an holistic (international, interdisciplinary and inclusive) manner to achieve Arctic sustainability across generations. As a practical outcome in a user-defined manner, this chapter reveals characteristics of next-generation Arctic marine shipping assessments, revealing patterns and trends that can be applied to informed decisionmaking about the governance mechanisms and built infrastructure as well as operations for multilateral stability and sustainable development in the new Arctic Ocean.
 This dataset contains ancillary data about individual ships monitored using the satellite Automatic Identification System (AIS) for 2011 and 2012.
DOI: 10.18739/a2bg2hb6f
title: Baseline of Next-Generation Arctic Marine Shipping Assessments - Oldest Pan-Arctic Satellite Automatic Identification System (AIS) Data Record of Maritime Ship Traffic, ancillary data 2013-2014

description: The Arctic is prominent in the history of the International Maritime Organization (IMO), following the RMS Titanic disaster in 1912 and soon signing in London of the Convention for the Safety of Life at Sea in 1914. Eighty years later, the IMO initiated a process to manage shipping in ice-covered oceans. In concert with the IMO Guidelines for Ships Operating in Arctic Ice-Covered Waters in 2002 and their 2004 release of the Arctic 2004 Arctic Climate Impact Assessment, the Arctic Council initiated the Arctic Marine Shipping Assessment (AMSA), which issued its final report in 2009. Primary sources of data for AMSA involved ship tracking from ground-station Automatic Identification System (AIS), shore-based radar systems and details of fishing vessels as well as other smaller ships provided by the Arctic nations. However, Arctic ship traffic fundamentally changed the year of the AMSA report, when satellite AIS records began providing continuous, synoptic, pan-Arctic coverage of individual ships with data pulsed over seconds to minutes. This data packages contains data collected by satellite AIS from from 1 January 2013 through December 31 2014. Future questions can be considered to assess ship attributes (including vessel flag state, size and type) in view of biophysical and socio-economic variables, recognizing that shipping and sea ice are recognized as primary drivers of change in the Arctic Ocean. Contributions to these assessments come from all areas of science (inclusively defined as the study of change), across the natural and social sciences with Indigenous knowledge in an holistic (international, interdisciplinary and inclusive) manner to achieve Arctic sustainability across generations. As a practical outcome in a user-defined manner, this chapter reveals characteristics of next-generation Arctic marine shipping assessments, revealing patterns and trends that can be applied to informed decisionmaking about the governance mechanisms and built infrastructure as well as operations for multilateral stability and sustainable development in the new Arctic Ocean.
 This dataset contains ancillary data about individual ships monitored using the satellite Automatic Identification System (AIS) for 2013 and 2014.
DOI: 10.15468/dl.ymwace
title: Occurrence Download

description: A dataset containing 1060 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Grus nigricollis Prjevalsky, 1876",
 "Year 2010-2024"
 ]
}

 The dataset includes 1060 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027863-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a26q1sj1t
title: Baseline of Next-Generation Arctic Marine Shipping Assessments - Periodical Oldest Pan-Arctic Satellite Automatic Identification System (AIS) Data Record of Maritime Ship Traffic, 2009-2016

description: The Arctic is prominent in the history of the International Maritime Organization (IMO), following the RMS Titanic disaster in 1912 and soon signing in London of the Convention for the Safety of Life at Sea in 1914. Eighty years later, the IMO initiated a process to manage shipping in ice-covered oceans. In concert with the IMO Guidelines for Ships Operating in Arctic Ice-Covered Waters in 2002 and their 2004 release of the Arctic 2004 Arctic Climate Impact Assessment, the Arctic Council initiated the Arctic Marine Shipping Assessment (AMSA), which issued its final report in 2009. Primary sources of data for AMSA involved ship tracking from ground-station Automatic Identification System (AIS), shore-based radar systems and details of fishing vessels as well as other smaller ships provided by the Arctic nations. However, Arctic ship traffic fundamentally changed the year of the AMSA report, when satellite AIS records began providing continuous, synoptic, pan-Arctic coverage of individual ships with data pulsed over seconds to minutes. This data packages contains data collected by satellite AIS for certain days from September 2009 through September 2016. Future questions can be considered to assess ship attributes (including vessel flag state, size and type) in view of biophysical and socio-economic variables, recognizing that shipping and sea ice are recognized as primary drivers of change in the Arctic Ocean. Contributions to these assessments come from all areas of science (inclusively defined as the study of change), across the natural and social sciences with Indigenous knowledge in an holistic (international, interdisciplinary and inclusive) manner to achieve Arctic sustainability across generations. As a practical outcome in a user-defined manner, this chapter reveals characteristics of next-generation Arctic marine shipping assessments, revealing patterns and trends that can be applied to informed decisionmaking about the governance mechanisms and built infrastructure as well as operations for multilateral stability and sustainable development in the new Arctic Ocean.
 This dataset contains ship location data collected from a satellite Automatic Identification System (AIS).
DOI: 10.18739/a22z12q7f
title: Baseline of Next-Generation Arctic Marine Shipping Assessments - Oldest Pan-Arctic Satellite Automatic Identification System (AIS) Data Record of Maritime Ship Traffic, ancillary data 2015-2016

description: The Arctic is prominent in the history of the International Maritime Organization (IMO), following the RMS Titanic disaster in 1912 and soon signing in London of the Convention for the Safety of Life at Sea in 1914. Eighty years later, the IMO initiated a process to manage shipping in ice-covered oceans. In concert with the IMO Guidelines for Ships Operating in Arctic Ice-Covered Waters in 2002 and their 2004 release of the Arctic 2004 Arctic Climate Impact Assessment, the Arctic Council initiated the Arctic Marine Shipping Assessment (AMSA), which issued its final report in 2009. Primary sources of data for AMSA involved ship tracking from ground-station Automatic Identification System (AIS), shore-based radar systems and details of fishing vessels as well as other smaller ships provided by the Arctic nations. However, Arctic ship traffic fundamentally changed the year of the AMSA report, when satellite AIS records began providing continuous, synoptic, pan-Arctic coverage of individual ships with data pulsed over seconds to minutes. This data packages contains data collected by satellite AIS from from 1 January 2015 through December 31 2016. Future questions can be considered to assess ship attributes (including vessel flag state, size and type) in view of biophysical and socio-economic variables, recognizing that shipping and sea ice are recognized as primary drivers of change in the Arctic Ocean. Contributions to these assessments come from all areas of science (inclusively defined as the study of change), across the natural and social sciences with Indigenous knowledge in an holistic (international, interdisciplinary and inclusive) manner to achieve Arctic sustainability across generations. As a practical outcome in a user-defined manner, this chapter reveals characteristics of next-generation Arctic marine shipping assessments, revealing patterns and trends that can be applied to informed decisionmaking about the governance mechanisms and built infrastructure as well as operations for multilateral stability and sustainable development in the new Arctic Ocean.
 This dataset contains ancillary data about individual ships monitored using the satellite Automatic Identification System (AIS) for 2015 and 2016.