cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2cc0tt8x
title: Arctic Ocean freshwater fluxes and storage from simulations with the Community Earth System Model version 1.1 (CESM1.1), 2020.

description: This dataset includes timeseries of annual Arctic freshwater fluxes and storage terms relative to a reference salinity of 34.8, calculated from the Community Earth System Model version 1.1 (CESM1.1) Large Ensemble (Kay et al. 2015, BAMS, doi:10.1175/BAMS-D-13-00255.1), Low Warming Ensemble (Sanderson et al., 2017, https://doi.org/10.5194/esd-8-827-2017), and the CESM Large Ensemble pre-industrial control simulation (part of CESM LE, see Kay et al. 2015). It spans 1920-2100, with 40 (CESM LE) and 11 ensemble members (CESM LW) and also includes the data for the 1800 year long control simulation. The data is stored in netcdf format, and includes metadata in the netcdf files. This work has been funded by National Science Foundation Office of Polar Programs (NSF-OPP) 1504348. The raw CESM model output these derived timeseries are calculated from are publicly available at https://www.earthsystemgrid.org/. The calculated freshwater (FW) fluxes and storage timeseries add additional value, as the flux calculations take considerable time and effort to compute.
DOI: 10.15468/dl.e9rqyg
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 incisifolius (Jeffrey) B.Nord.)"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027773-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a27m0414k
title: Benthic macroinfaunal samples collected from the (USCGC) Healy Northern Bering Sea to Chukchi Sea, 2017

description: The Pacific sector of the Arctic Ocean is experiencing major reductions in seasonal sea ice extent and increases in sea surface temperatures. One of the key uncertainties in this region is how the marine ecosystem will respond to seasonal shifts in the timing of spring sea ice retreat and/or delays in fall sea ice formation. Variations in upper ocean water hydrography, planktonic production, pelagic-benthic coupling and sediment carbon cycling are all influenced by sea ice and temperature change. To more systematically track the broad biological response to sea ice retreat and associated environmental change, an international consortium of scientists have developed a coordinated “Distributed Biological Observatory” (DBO) that includes selected biological measurements at multiple trophic levels, along with satellite and mooring measurements. The DBO currently focuses on five regional biological “hotspot” locations along a latitudinal gradient that allows for consistent sampling and monitoring at five biologically productive locations across a latitudinal gradient: DBO 1 (SLIP)-south of St. Lawrence Island (SLI), DBO2 (Chirikov)-north of SLI, DBO3 (southern Chukchi Sea), DBO4-NE Chukchi Sea,and DBO5-Barrow Canyon.

This dataset contains benthic macroinfaunal population level from sediment samples collected at each station for the USCGC Healy cruise-Leg 1 in 2017, identified by station number (#), Station name (Stn. Name), Date (mm/dd/yy), latitude (°N), longitude (°W), and station depth (m). The following macroinfaunal parameters were determined: abundance, wet weight biomass (gww/m2), dry weight biomass (gC/m2), and taxon type.
DOI: 10.18739/a23t9d70w
title: Modeled Carbon Responses of Tundra Ecosystems to Historical and Projected Climate

description: This data set contains the model output data of Terrestrial Ecosystem Model (TEM) simulations from 1920-2100 for both moist tundra and polar desert/alpine tundra for the Pan-arctic, compared to output for the Kuparuk River Basin (moist tundra). TEM simulates C and N fluxes and pools. 5,942 grid cells were used in the Pan-arctic simulation, of which 3,614 were considered polar desert/alpine tundra and 2,328 were considered moist tundra. All 19 grid cells in the Kuparuk simulation were considered moist tundra. The values of several ecosystem variables are compared between the Pan-arctic and Kuparuk. The results of this study are presented and discussed in McGuire et al. (2000), Modeling carbon responses of tundra ecosystems to historical and projected climate: sensitivity of Pan-arctic carbon storage to temporal and spatial variation in climate. Global Change Biology 6: 141-159. The simulations use the moist tundra and polar desert/alpine tundra calibrations developed by McGuire et al. (1992), based on data from Toolik Lake, Alaska.
DOI: 10.18739/a2028pd7x
title: Perceptions and implications of thawing permafrost and climate change in two Inupiaq villages of arctic Alaska

description: Survey responses of residents of the arctic Inupiaq villages of Anaktuvuk Pass (n=39) and Selawik (n=41), Alaska. The survey elicited local knowledge, perceptions, and speculations about current and future implications of thawing permafrost and other aspects of climate change for ways of life in these communities, focusing on subsistence, infrastructure, water resources, and transportation as key areas of potential impacts. Human dimensions data were collected and analyzed in conjunction with local thaw depth data as part of an interdisciplinary study of the implications of thawing permafrost and climate change for the social-ecological systems of two communities whose ways of life rely on close interactions with their local environments.
DOI: 10.18739/a2v97zs2j
title: Ecosystem nutrient cycling following thermokarst disturbance

description: Our purpose was to characterize nutrient cycling recovery patterns after thermokarst disturbance and to assess how well these patterns fit ecological paradigms of nutrient cycling after disturbance. To do this, we measured carbon, nitrogen and phosphorus pools and cycling rates in the surface organic and mineral soils of three retrogressive thaw slumps in Northern Alaska. In addition, we measured legume nodule biomass and spring thaw nutrient inputs. At each slump we established recovery chronosequences spanning 5-150 years and sampled in plots along a transect at each of the chronosequence stages (n=3-5). We carried out these measures for two years and the intervening winter.
DOI: 10.15468/dl.2yckp8
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ledermanniella boloensis C.Cusset"
 ]
}

 The dataset includes 12 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027774-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2ks6j53z
title: Toolik Logger Data NIMS - 2014

description: Logger records from the Networked Info-mechanical Systems (NIMS), Transect length: ~50m The data was recorded using a CR3000 logger. The sensor trolley was equipped with instruments for recording the distance to vegetation canopy (SR50a Sonic Distance, Campbell Scientific), up- and downwelling short- and longwave radiation (CNR4 net radiometer, Kipp &amp;amp;amp; Zonen), air temperature and surface temperature (SI-111 IR radiometer, Apogee Instruments Inc.) and spectral reflection (Jaz Combo-2, Ocean Optics; GreenSeeker RT100 (505), NTech).
DOI: 10.15468/dl.sgnzv9
title: Occurrence Download

description: A dataset containing 228397 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bombus Latreille, 1802",
 "Year 2017-2018"
 ]
}

 The dataset includes 228397 records from 354 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027742-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2g44hr3x
title: Logger data from the Mobile Instrumented Sensor Platform (MISP), Toolik Lake, Alaska, 2019

description: This data is a part of the Arctic Observing Network sites in northern Alaska under the project title: Arctic Observing Networks: Collaborative Research: ITEX (International Tundra Experiment) AON (Arctic Observing Network) - understanding the relationships between vegetation change, plant phenology, and ecosystem function in a warming Arctic. These files represent spectral reflectance data measured near-daily within a 2m X 50m tundra vegetation monitoring transect in Toolik Lake, Alaska. This sensor trolley platform is known as the Mobile Instrumented Sensor Platform (MISP) and formerly known as the Networked Info-Mechanical System. The sensor trolley was equipped with instruments for recording the distance to vegetation canopy (SR50a Sonic Distance, Campbell Scientific), up- and downwelling short- and longwave radiation (CNR4 net radiometer, Kipp and Zonen), air temperature and surface temperature (SI-111 IR radiometer, Apogee Instruments Inc.) and spectral reflection (Jaz Combo-2, Ocean Optics; GreenSeeker RT100).
 This dataset contains MISP measurements from Toolik Lake.
DOI: 10.18739/a24t6f404
title: Shrub ring-width measurements of Alnus viridis var. crispa located on a slope over a small hill near the ‘Ice Cut’ at Dalton Highway in Alaska, 1920 - 2010

description: Warming in recent decades has triggered shrub expansion in arctic and alpine tundra, which is transforming these temperature-limited ecosystems and altering carbon and nutrient cycles, fire regimes, permafrost stability, land-surface climate-feedbacks, and wildlife habitat. Where and when Arctic shrub expansion happens in the future will depend in part on how different shrub communities respond to warming air temperatures. Here, we analyze a shrub ring-width network of 18 sites consisting of Salix spp. and Alnus viridis growing across the North Slope of Alaska (68-71 North; 164-149 West) to assess shrub temperature sensitivity and compare radial growth patterns with satellite NDVI (normalized difference vegetation index) data since 1982. All shrub sites and species shared a common year-to-year growth variability despite site differences and had a positive response, ~67% of which were significant (P less than 0.05), to daily maximum air temperatures (Tmax) from ca. May 31 (i.e. Tmax ~6 Celsius (C)) to early July (i.e. Tmax ~12 C). Thus, the month of June had the highest shrub growth-temperature sensitivity and this period coincides with the seasonal increase in temperature and an green-up of tundra indicated by both field observations and the seasonal cycle of NDVI (~photosynthetic activity). Nearly all of the sampled shrubs (98%) initiated their growth after 1960, with 74% initiated since 1980. This post-1980 shrub-recruitment pulse coincided with ~2 C warmer June temperatures compared to prior periods and positive trends in shrub basal area increments (BAI) and peak summer NDVI. Significant correlations between shrub growth and peak summer NDVI indicate these radial growth patterns in shrubs reflect a broader trend of enhanced tundra productivity across the North Slope of Alaska. 
 This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree ring with a geographic location of Alaska, United States Of America. The time period coverage is from -27 to -60 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
DOI: 10.15468/dl.e6n4x5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((37.46333 -5.61, 37.46333 -5.610833, 37.46083 -5.610833, 37.46083 -5.611667, 37.45917 -5.611667, 37.45917 -5.6125, 37.45833 -5.6125, 37.45833 -5.613333, 37.4575 -5.613333, 37.45667 -5.613333, 37.45667 -5.614167, 37.45583 -5.614167, 37.45583 -5.615, 37.455 -5.615, 37.455 -5.616667, 37.45417 -5.616667, 37.45417 -5.6175, 37.45333 -5.6175, 37.45333 -5.619167, 37.4525 -5.619167, 37.4525 -5.62, 37.45167 -5.62, 37.45167 -5.620833, 37.45083 -5.620833, 37.45083 -5.6225, 37.45 -5.6225, 37.45 -5.625833, 37.44917 -5.625833, 37.44917 -5.63, 37.44833 -5.63, 37.44833 -5.630833, 37.44833 -5.633333, 37.4475 -5.633333, 37.4475 -5.6475, 37.4475 -5.669167, 37.44833 -5.669167, 37.44833 -5.67, 37.44917 -5.67, 37.44917 -5.671667, 37.45 -5.671667, 37.45 -5.673333, 37.45083 -5.673333, 37.45083 -5.675, 37.45167 -5.675, 37.45167 -5.675833, 37.4525 -5.675833, 37.4525 -5.6775, 37.45333 -5.6775, 37.45333 -5.679167, 37.45417 -5.679167, 37.45417 -5.68, 37.45667 -5.68, 37.45667 -5.680833, 37.45833 -5.680833, 37.45833 -5.681667, 37.46 -5.681667, 37.46 -5.6825, 37.4625 -5.6825, 37.4625 -5.683333, 37.46417 -5.683333, 37.46417 -5.684167, 37.465 -5.684167, 37.465 -5.683333, 37.46667 -5.683333, 37.46667 -5.6825, 37.46917 -5.6825, 37.46917 -5.681667, 37.47083 -5.681667, 37.47083 -5.680833, 37.47333 -5.680833, 37.47333 -5.68, 37.475 -5.68, 37.475 -5.679167, 37.4775 -5.679167, 37.4775 -5.676667, 37.47833 -5.676667, 37.47833 -5.674167, 37.47917 -5.674167, 37.47917 -5.671667, 37.48 -5.671667, 37.48 -5.668333, 37.48083 -5.668333, 37.48083 -5.665, 37.48167 -5.665, 37.48167 -5.660833, 37.4825 -5.660833, 37.4825 -5.6575, 37.48333 -5.6575, 37.48333 -5.655833, 37.48417 -5.655833, 37.48417 -5.653333, 37.485 -5.653333, 37.485 -5.651667, 37.48583 -5.651667, 37.48583 -5.646667, 37.48583 -5.645833, 37.485 -5.645833, 37.485 -5.639167, 37.48417 -5.639167, 37.48417 -5.621667, 37.48417 -5.62, 37.48333 -5.62, 37.48333 -5.619167, 37.4825 -5.619167, 37.4825 -5.618333, 37.48167 -5.618333, 37.48167 -5.6175, 37.48 -5.6175, 37.48 -5.616667, 37.47917 -5.616667, 37.47917 -5.615833, 37.47833 -5.615833, 37.47833 -5.615, 37.4775 -5.615, 37.4775 -5.614167, 37.47667 -5.614167, 37.47667 -5.613333, 37.47583 -5.613333, 37.47583 -5.6125, 37.475 -5.6125, 37.475 -5.611667, 37.47333 -5.611667, 37.47333 -5.610833, 37.46833 -5.610833, 37.46833 -5.61, 37.46333 -5.61))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027775-241107131044228/datasets/export for details.
DOI: 10.18739/a2125q975
title: Shrub ring-width measurements of Salix species over flat terrain next to the Sag River near the ‘Ice Cut’ at Dalton Highway in Alaska, 1977- 2010

description: Warming in recent decades has triggered shrub expansion in arctic and alpine tundra, which is transforming these temperature-limited ecosystems and altering carbon and nutrient cycles, fire regimes, permafrost stability, land-surface climate-feedbacks, and wildlife habitat. Where and when Arctic shrub expansion happens in the future will depend in part on how different shrub communities respond to warming air temperatures. Here, we analyze a shrub ring-width network of 18 sites consisting of Salix spp. and Alnus viridis growing across the North Slope of Alaska (68-71 North; 164-149 West) to assess shrub temperature sensitivity and compare radial growth patterns with satellite NDVI (normalized difference vegetation index) data since 1982. All shrub sites and species shared a common year-to-year growth variability despite site differences and had a positive response, ~67% of which were significant (P less than 0.05), to daily maximum air temperatures (Tmax) from ca. May 31 (i.e. Tmax ~6 Celsius (C)) to early July (i.e. Tmax ~12 C). Thus, the month of June had the highest shrub growth-temperature sensitivity and this period coincides with the seasonal increase in temperature and an green-up of tundra indicated by both field observations and the seasonal cycle of NDVI (~photosynthetic activity). Nearly all of the sampled shrubs (98%) initiated their growth after 1960, with 74% initiated since 1980. This post-1980 shrub-recruitment pulse coincided with ~2 C warmer June temperatures compared to prior periods and positive trends in shrub basal area increments (BAI) and peak summer NDVI. Significant correlations between shrub growth and peak summer NDVI indicate these radial growth patterns in shrubs reflect a broader trend of enhanced tundra productivity across the North Slope of Alaska. 
 This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree ring with a geographic location of Alaska, United States Of America. The time period coverage is from -27 to -60 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
DOI: 10.18739/a2w950p25
title: Shrub ring-width measurements of Salix species over flat terrain near the Dalton Highway in Alaska, 1964 - 2010

description: Warming in recent decades has triggered shrub expansion in arctic and alpine tundra, which is transforming these temperature-limited ecosystems and altering carbon and nutrient cycles, fire regimes, permafrost stability, land-surface climate-feedbacks, and wildlife habitat. Where and when Arctic shrub expansion happens in the future will depend in part on how different shrub communities respond to warming air temperatures. Here, we analyze a shrub ring-width network of 18 sites consisting of Salix spp. and Alnus viridis growing across the North Slope of Alaska (68-71 North; 164-149 West) to assess shrub temperature sensitivity and compare radial growth patterns with satellite NDVI (normalized difference vegetation index) data since 1982. All shrub sites and species shared a common year-to-year growth variability despite site differences and had a positive response, ~67% of which were significant (P less than 0.05), to daily maximum air temperatures (Tmax) from ca. May 31 (i.e. Tmax ~6 Celsius (C)) to early July (i.e. Tmax ~12 C). Thus, the month of June had the highest shrub growth-temperature sensitivity and this period coincides with the seasonal increase in temperature and an green-up of tundra indicated by both field observations and the seasonal cycle of NDVI (~photosynthetic activity). Nearly all of the sampled shrubs (98%) initiated their growth after 1960, with 74% initiated since 1980. This post-1980 shrub-recruitment pulse coincided with ~2 C warmer June temperatures compared to prior periods and positive trends in shrub basal area increments (BAI) and peak summer NDVI. Significant correlations between shrub growth and peak summer NDVI indicate these radial growth patterns in shrubs reflect a broader trend of enhanced tundra productivity across the North Slope of Alaska. 
 This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree ring with a geographic location of Alaska, United States Of America. The time period coverage is from -27 to -60 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
DOI: 10.18739/a2bc3sx95
title: Sediment methane cycling dynamics, deep vs shallow lakes

description: Aspects of sediment methane cycling were measured in 3 shallow (mean depth ~2m) and three deep (mean depth ~6.5 m) lakes in the Foothills region of the Alaskan arctic. The overall goal was to identify lake size-dependent differences in rates and controls on methane consumption and production. Lakes were sampled intensely during one summer each at a permanently established station at the mean depth. Lakes GTH 99, 100 and 114 were sampled during the summer of 2010, while GTH 112, Toolik and NE14 were sampled during the summer of 2011. In each lake the following were measured: depth distributions of basic sediment physical properties; depth distributions of methane and dissolved oxygen; sediment chlorophyll a; sedimentation rate (at maximum depth in each lake); chemistry of surficial sediment (total Fe, Mn, NO3, SO4), rates of methanogenesis and methane oxidation; response of methanogenesis to amendment with alternate electron acceptors (Fe, Mn, NO3, SO4), direct methanogenic substrates (acetate, H2, trimethylamine) and a methanogenic precursor (maltose). Methods are given in Bretz and Whalen (2014), Inland Waters 4:65-78.
DOI: 10.18739/a26m3345t
title: Carbon Dioxide Concentration Measurements from Subnivean Environment

description: This is a data set collecting carbon dioxide (CO2) concentrations from different depths under the snow at our wet tussock tundra site near Toolik Lake. Included is a read me file. Data is not temperature corrected.
DOI: 10.18739/a22v2cb1p
title: Labeling study of water use by tundra evergreens in the winter spring transition

description: Deuterium-enriched water was used to test water uptake capacity of snow-covered tundra evergreens during prior to and during snowmetl at Toolik Field Station, Alaska
DOI: 10.18739/a2z31np60
title: Moist Acidic Tundra MicroMet Data

description: The data contained in this file consist of basic weather data for wet tussock tundra near Toolik Lake. Included with data in a read me file with details of all equipment
DOI: 10.18739/a2tb0xw1c
title: Imnavait Logger Data NIMS 2014

description: Logger records from the Networked Info-mechanical Systems (NIMS), Transect length: ~50m The data was recorded using a CR3000 logger. The sensor trolley was equipped with instruments for recording the distance to vegetation canopy (SR50a Sonic Distance, Campbell Scientific), up- and downwelling short- and longwave radiation (CNR4 net radiometer, Kipp &amp; Zonen), air temperature and surface temperature (SI-111 IR radiometer, Apogee Instruments Inc.) and spectral reflection (Jaz Combo-2, Ocean Optics; GreenSeeker RT100 (505), NTech).
DOI: 10.18739/a2pk0727d
title: Canopy Foliage Area Index, Toolik Lake, Alaska, 1995 and 1996

description: This dataset contains Canopy Foliage Area Index data for Toolik Lake, Alaska. Leaf Area Index (LAI) was measured for tundra plots at the Toolik Lake Field Station during the summers of 1995 and 1996. Measurements were made on control plots, plots from which snow was removed, and plots from which snow was removed before the installation of heating cables at 10-cm depth. Plots with heating cables were heated two hours per day. A Li-Cor LAI-2000 was used to measure LAI. Data are available in ASCII and MS Excel formats via ftp.
DOI: 10.18739/a2jw86n7h
title: Thaw Depth, Toolik Lake, Alaska, 1995 and 1996

description: Thaw depths were measured at the Toolik Lake Field Station during the summers of 1995 and 1996. Measurements were made on control plots, plots from which snow was removed, and plots from which snow was removed before the installation of heating cables at 10-cm depth. Plots with heating cables were heated two hours per day. Thaw depths were measured at tussock and intertussock sites within each plot using a steel probe. Data are available in ASCII and MS Excel formats.
DOI: 10.18739/a2f47gv3p
title: Soil Temperatures, Toolik Lake, Alaska, 1995 and 1996

description: Soil temperatures were measured at the Toolik Lake Field Station during the summers of 1995 and 1996. Measurements were made on control plots, plots from which snow was removed, and plots from which snow was removed before the installation of heating cables at 10-cm depth. Plots with heating cables were heated two hours per day. Soil temperatures were recorded once per minute using a Campbell 21X micrologger measuring a thermocouple located at 5-cm soil depth in an intertussock area within each plot. Data are available in ASCII and MS Excel formats.