cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2n58cm7t
title: Aerial census of reindeer in Taimyr, Russia, 1972

description: The dataset is a part of a comprehensive information system that provides insight into the historical relationship between humans, climate, environment, and reindeer in Taimyr, Russia. This dataset is a product of digitization and reanalysis of historical aerial observational data collected in 1972 by the researchers from the Extreme North Agriculture Research Institute. The data contain spatial data representation and descriptions based on the approximate flight paths undertaken in June-July of 1972 reconstructed from the unpublished aerial census report and data log. The Taimyr Reindeer Migration Reanalysis (TAMARA) project is an integral part of the worldwide network of reindeer observation programs.
DOI: 10.18739/a2hd7nt45
title: Aerial census of reindeer in Taimyr, Russia, 1987

description: The dataset is a part of a comprehensive information system that provides insight into the historical relationship between humans, climate, environment, and reindeer in Taimyr, Russia. This dataset is a product of digitization and reanalysis of historical aerial observational data collected in 1987 by the researchers from the Extreme North Agriculture Research Institute. The data contain spatial data representation and descriptions based on the approximate flight paths undertaken in July of 1987 reconstructed from the unpublished aerial census report and data log.
 The Taimyr Reindeer Migration Reanalysis (TAMARA) project is an integral part of the worldwide network of reindeer observation programs.
DOI: 10.18739/a2cr5nd28
title: Aerial census of reindeer in Taimyr, Russia, 1980

description: The dataset is a part of a comprehensive information system that provides insight into the historical relationship between humans, climate, environment, and reindeer in Taimyr, Russia. This dataset is a product of digitization and reanalysis of historical aerial observational data collected in 1980 by the researchers from the Extreme North Agriculture Research Institute. The data contain spatial data representation based on the approximate flight paths undertaken in July of 1980 reconstructed from the unpublished aerial census report and data log.
DOI: 10.18739/a2804xk8t
title: Aerial census of reindeer in Taimyr, Russia, 1982

description: The dataset is a part of a comprehensive information system that provides insight into the historical relationship between humans, climate, environment, and reindeer in Taimyr, Russia. This dataset is a product of digitization and reanalysis of historical aerial observational data collected in 1982 by the researchers from the Extreme North Agriculture Research Institute. The data contain spatial data representation and descriptions based on the approximate flight paths undertaken in July-August of 1982 reconstructed from the unpublished aerial census report and data log. The Taimyr Reindeer Migration Reanalysis (TAMARA) project is an integral part of the worldwide network of reindeer observation programs.
DOI: 10.15468/dl.et9jhd
title: Occurrence Download

description: A dataset containing 44 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 (Notoseris scandens (Hook.fil. ex Benth. & Hook.fil.) N.Kilian)"
 ]
}

 The dataset includes 44 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027817-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a20g3h00b
title: Uncrewed aerial vehicle remote sensing imagery of postfire vegetation in Siberian larch forests 2018-2019

description: This data set contains remote sensing imagery collected using uncrewed aerial vehicles at a series of fire perimeters in larch forests located in northeastern Siberia in 2018 and 2019. Images were collected using visible sensors (blue, green, and red wavelengths) and multispectral sensors (green, red, red-edge, and near-infrared wavelengths). The data were collected perpendicular to fire perimeter boundaries in order to characterize variation vegetation composition and structure between burned and burned forests, and as a function of distance from the unburned forest edge. The resulting images are co-located with field observations of ecosystem properties collected as part of this project that are posted in a related data set (Alexander et al, 2018). 
 Heather Alexander, Jennie DeMarco, Rebecca Hewitt, Jeremy Lichstein, Michael Loranty, et al. 2018. Fire influences on forest recovery and associated climate feedbacks in Siberian Larch Forests, Russia, June-July 2018. Arctic Data Center. urn:uuid:a5de1514-78d3-449f-aad1-2ff8f8d0fb27.
DOI: 10.18739/a2vq2sb5b
title: Digital Elevation Model (DEM) used in Weather Research and Forecasting (WRF) model output for Greenland melt season, 1986-2015, 1996-2005 and 2071-80

description: This dataset contains files associated with converting the Ohio State GIMP DEM (Greenland Ice Mapping Project digital elevation model, Howat et al, 2014) to a format compatible with the Weather Research and Forecasting (WRF) geogrid program. These files were used in creating datasets for the project’s ERA Interim-based WRF simulations.
 Files in this archive
 1. modified source for convert_geotiff: convert_geotiff-0.1.1.tgz
 2. input file for convert_geotiff: gimpdem_90m_msk.tif
 3. convert_geotiff output directory: topo_gimp_90m_v5.tar.gz
 4. geogrid parameter file: GEOGRID.TBL.ARW_HGT_M (HGT_M entry only)
 5. geogrid namelist.wps options: namelist.wps_geogrid
 6. example geogrid output: geo_em.d01_sample.nc
 7. comparisons to other elevation data:
 - at GCNet AWS stations: comp_gcnet.txt
 - on WRF 15-km grid: “HGT_M 2015 vs 2016 with diff.pdf”
 8. This README file: README.pdf
 References
 Howat, I.M., A. Negrete, B.E. Smith, 2014: The Greenland Ice Mapping Project (GIMP) land classification and surface elevation datasets, The Cryosphere, 8, 1509-1518, doi:10.5194/tc-8-1509-2014.
DOI: 10.18739/a2qz22j1k
title: Evidence for fire in the Pliocene Arctic in response to amplified temperature: Data include radionuclide dates, paleotemperature estimates, and charcoal counts from a paleo peat formation on Ellesmere Island in the Canadian Arctic from ~3.5 Million Years Ago

description: The mid-Pliocene is a valuable time interval for investigating equilibrium climate at current atmospheric CO2 concentrations because atmospheric CO2 concentrations are thought to have been comparable to the current day and yet the climate and distribution of ecosystems were quite different. One intriguing, but not fully understood, feature of the early to mid-Pliocene climate is the amplified Arctic temperature response and its impact on Arctic ecosystems. Only the most recent models appear to correctly estimate the degree of warming in the Pliocene Arctic and validation of the currently proposed feedbacks is limited by scarce terrestrial records of climate and environment. Here we reconstruct the summer temperature and fire regime from a subfossil fen-peat deposit on west–central Ellesmere Island, Canada, that has been chronologically constrained using cosmogenic nuclide burial dating to 3.9+1.5/−0.5 milliampere.
 The estimate for average mean summer temperature is 15.4±0.8 Celsius degree using specific bacterial membrane lipids, i.e., branched glycerol dialkyl glycerol tetraethers. This is above the proposed threshold that predicts a substantial increase in wildfire in the modern high latitudes. Macro-charcoal was present in all samples from this Pliocene section with notably higher charcoal concentration in the upper part of the sequence. This change in charcoal was synchronous with a change in vegetation that included an increase in abundance of fire-promoting Pinus and Picea. Paleo-vegetation reconstructions are consistent with warm summer temperatures, relatively low summer precipitation and an incidence of fire comparable to fire-adapted boreal forests of North America and central Siberia.
 To our knowledge, this site provides the northernmost evidence of fire during the Pliocene. It suggests that ecosystem productivity was greater than in the present day, providing fuel for wildfires, and that the climate was conducive to the ignition of fire during this period. The results reveal that interactions between paleo-vegetation and paleoclimate were mediated by fire in the High Arctic during the Pliocene, even though CO2 concentrations were similar to modern values.
DOI: 10.18739/a2m61bq8m
title: Infrastructure-Thermokarst-Soil-Vegetation Interactions at Lake Colleen, Prudhoe Bay, Alaska, August 2014

description: This data report contains methods and data from transects, permanent vegetation plots, and permafrost boreholes sampled during 2-13 August 2014, at Colleen Site A, Prudhoe Bay, Alaska for the Arctic Science, Engineering, and Education for Sustainability (ArcSEES). The project 'Cumulative effects of Arctic oil development-planning and designing for sustainability' was funded by the National Science Foundation (NSF Grant Nr. 1233854). The Colleen site is located along the Spine Road, the oldest, most heavily traveled road in the Prudhoe Bay region. It is situated in a previously relatively homogeneous low-center ice-wedge polygon landscape that has undergone thermokarst and other disturbances due to climate change and the presence of the road.
 The main objectives of the 2014 field program were to document the extent and effects of these disturbances to the topography, landforms, permafrost, soils and vegetation. We were particularly interested in changes to the permafrost and ice-wedges. The area of the study site is defined as a 60-m wide swath centered on two 200-m transects. Transect (T1) is on the relatively well-drained northeast side of the road and Transect (T2) is on the flooded southwest side. The report contains measurements of surveyed ground elevations, thaw depths, water depths, dust-layer thickness, vegetation height, and leaf area index (LAI) at one-meter intervals along each transect.
 Permanent vegetation plots were established at intervals along the transects in polygon centers and troughs and cover of plant species was measured using both point intercept and Braun-Blanquet methods. A soil pit was dug adjacent to each vegetation plot. Included in the report is a record of the installation locations of iButton® temperature loggers to measure above- and below-ground temperatures along the transects and in the vegetation plots through the next year. A full description of the project goals, methods, data, and conclusions from the 2014 field season are in Alaska Geobotany Center Data Report AGC 15-01 (Walker et al. 2015). Description and maps of the vegetation, landscapes, and permafrost and recent changes in the Prudhoe Bay Oilfield are in Walker et al. 1980, Walker 1985, Walker et al. 2014, and Raynolds et al. 2014. References cited here are included in AGC 15-01.
DOI: 10.18739/a2fj29d7z
title: Dynamic Observations of the Densification of Greenland Firn under Compression using a microcomputed X-ray tomography, June 2017

description: The present dataset includes 2-Dimensional (2-D) micro computed tomography (CT) reconstructions obtained from depths of 10-80 meters (m) firn from Summit, Greenland using the micro CT; comparison before the strain with after the strain of 4% from reconstructed 3-Dimensional (3-D) images (horizontal cross section) from the micro CT for 30 m firn specimen; stress as a function of strain for depths of 10-80 m during interrupted compressive tests; plots of density, the area-equivalent circle diameter (ECDa – a measure of the feature pore-size), the structure thickness (S.Th - a measure of the feature grain-size), total porosity, closed porosity, the specific surface area (SSA) and the structure model index (SMI - a measure of the prevalent ice curvature) respectively as a function of strain for depths of 10-80 m; grain size obtained using the micro CT as a function of depth or strain; SMI evolution with depth for before the test for depths of 10-80 m; 2-D reconstructions obtained using the micro CT 0% strain to 4% strain for the 30 m specimen; semi-empirical model for the lattice diffusion and the grain boundary diffusion, and the mean relationship between the density and stress for all tests; comparison of the density calculated from micro CT data with density obtained from measurement of the mass-volume method at each depth; the fitted linear slope of each microstructural parameter with increasing strain for depths of 10-80 m; the fitted mean density and the fraction of lattice diffusion α evaluated using the semi-empirical model under the corresponding stresses. We share this dataset with other glaciologists, material scientists, experimental geophysicists, and all other researchers and engineers in order to improve our understanding on the scientific issue of snow, firn and ice.
DOI: 10.18739/a29s1km2b
title: Alaska waterbodies' fetch distance and elevation, 2015

description: This geospatial dataset is based on the National Hydrographic Dataset (NHD) Model (v2.2) for Alaska published on May 27 2014. For each waterbody, we established a unique ID and calculated fetch distance in meters (m) using the lakemorpho package in R. Fetch is the maximum distance or the longest open water distance across a body of water. We used 200 points along the waterbody shore to determine the fetch. The dataset also contains information on the elevation of each waterbody. A 60m digital elevation model (DEM) was used to calculate the maximum elevation point within the water body using zonal statistics in ArcMap 10.7.
DOI: 10.18739/a2610vs8w
title: In-situ snow accumulation, melt, and firn density records using ground penetrating radar and firn cores, western Greenland, 1955-2017

description: The stability of the Greenland Ice Sheet (GIS) is of critical interest to scientists and society at large in the context of future sea-level rise. The magnitude of GIS volumetric shrinkage in the coming decades depends on its glacial discharge and surface mass balance (SMB), with the later representing the balance between accumulation and surface melt. Estimates of Greenland SMB increasingly utilize climate reanalyses and high-resolution regional climate models (RCMs) to determine snow accumulation, surface melt and runoff/refreeze. These models show significant and model-dependent biases along the high-gradient edges of the GIS where the highest and most variable (in space and time) rates of accumulation and surface melt are observed. Thus, the edges of the GIS are in critical need of updated validation with in-situ accumulation and melt data, as model biases lead to significant deviations in mass balance estimates. Here we propose a traverse in the Western Greenland percolation zone over two field seasons to develop continuous in-situ snow accumulation and firn density records using ground-based radar and shallow firn cores. Our research objectives include: (1) determining the spatiotemporal patterns of snow accumulation in Western Greenland over the past 20-40 years; (2) evaluating surface melt refreeze and englacial meltwater storage in the Western Greenland percolation zone over the past 20-40 years; and (3) quantifying the accumulation and surface melt biases of the most recent climate reanalysis models and their RCM counterparts.
DOI: 10.18739/a2280504j
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 data was produced for the publication Jahn and Laiho, 2020 (see below for citation). 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.
 Jahn, A., & Laiho, R. (2020). Forced changes in the Arctic freshwater budget emerge in the early 21st century. Geophysical Research Letters, 47, e2020GL088854. https://doi.org/10.1029/2020GL088854
DOI: 10.18739/a2xg9fb90
title: Fire influences on forest recovery and associated climate feedbacks in Siberian Larch Forests, Russia, 2018-2019

description: The primary objective of this research is to determine the causes of varying post-fire tree recruitment within larch forests of eastern Siberia and consequences for climate feedbacks via changes in Carbon (C) storage and albedo using a combination of field-based measurements, dendrochronological analysis, remotely-sensed data, and statistical modelling. This dataset contains field data from 6 burned areas in eastern Siberia, collected during June and July 2018. Within each burned area, we measured larch seedling recruitment (density and size), overstory, understory, and shrub composition, active layer depth, soil organic layer composition, soil nutrients, and canopy cover in a series of "extensive plots" along transects. In "intensive plots" with varying larch seedling density, we collected detailed information on larch recruitment age, size, and density, mycorrhizal abundance and composition on larch seedling roots, soil organic layer characteristics, understory vegetation, ectomycorrhizal host presence, canopy cover, and soil nutrients, moisture, and temperature.
DOI: 10.18739/a2zs2kd7b
title: Hydrographic and current velocity timeseries from moorings in the Boulder Patch, Beaufort Sea, Alaska, 2011-2018.

description: In the nearshore Alaskan Beaufort Sea, discrete, isolated rocky habitats harbor biological communities that are unusually diverse for the region, with markedly different fauna and flora than found in the surrounding soft sediment areas. The boulder fields also support tightly linked food webs, with connections to higher trophic levels such as fishes and seals. These systems are highly vulnerable to disturbances, including sedimentation from human activities and coastal erosion, fluctuations in salinity from seasonal river discharge, and temperature increases from heat influx originating at lower latitudes and from atmospheric warming. Spatial isolation of these boulder fields and the slow development of benthic communities limit ecosystem recovery from disturbance. To assess the possible ecological effects of such environmental disturbances, this field program undertook an investigation of the biological communities and environmental conditions across the Stefansson Sound Boulder Patch, the largest of the Beaufort Sea nearshore boulder fields. 
 The overlying objectives of this program were to: 1) monitor incident and in situ photosynthetically active radiation (PAR), salinity, temperature, currents, and pH to define the spatial variability in annual kelp productivity and biomass; 2) characterize benthic community structure changes across environmental gradients in the Boulder Patch and 3) collect annual measurements of kelp growth in the Boulder Patch to provide a nearly continuous record of kelp growth since 1976. Within and in addition to these objectives, individual research projects were completed, using experimental approaches, timeseries analysis and historical data to gain an in depth understanding of mechanisms (past and present) that resulted in the Boulder Patch community we see today and how this community may vary in future conditions.
 To monitor hydrographic conditions that impact the Boulder Patch kelp bed (Stefansson Sound, Beaufort Sea, Alaska), timeseries of temperature, conductivity, salinity, and current velocity within 30 cm of the bottom were obtained by in situ moorings at multiple sites from 2011 to 2018. These data were collected as part of a larger study to gain an in-depth understanding of mechanisms (past and present) that resulted in the Boulder Patch community we see today and how this community may vary in future conditions.
DOI: 10.15468/dl.gghzwm
title: Occurrence Download

description: A dataset containing 2258 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus saxatilis F.Cuvier, 1823"
 ]
}

 The dataset includes 2258 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027819-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2v11vm3h
title: pH timeseries from moorings in the Boulder Patch, Beaufort Sea, Alaska, 2016-2018

description: In the nearshore Alaskan Beaufort Sea, discrete, isolated rocky habitats harbor biological communities that are unusually diverse for the region, with markedly different fauna and flora than found in the surrounding soft sediment areas. The boulder fields also support tightly linked food webs, with connections to higher trophic levels such as fishes and seals. These systems are highly vulnerable to disturbances, including sedimentation from human activities and coastal erosion, fluctuations in salinity from seasonal river discharge, and temperature increases from heat influx originating at lower latitudes and from atmospheric warming. Spatial isolation of these boulder fields and the slow development of benthic communities limit ecosystem recovery from disturbance. To assess the possible ecological effects of such environmental disturbances, this field program undertook an investigation of the biological communities and environmental conditions across the Stefansson Sound Boulder Patch, the largest of the Beaufort Sea nearshore boulder fields. 
 The overlying objectives of this program were to: 1) monitor incident and in situ photosynthetically active radiation (PAR), salinity, temperature, currents, and pH to define the spatial variability in annual kelp productivity and biomass; 2) characterize benthic community structure changes across environmental gradients in the Boulder Patch and 3) collect annual measurements of kelp growth in the Boulder Patch to provide a nearly continuous record of kelp growth since 1976. Within and in addition to these objectives, individual research projects were completed, using experimental approaches, timeseries analysis and historical data to gain an in depth understanding of mechanisms (past and present) that resulted in the Boulder Patch community we see today and how this community may vary in future conditions.
 To understand spatiotemporal variability in environmental conditions, pH was recorded by SeaFETs moored near the benthos at two locations in the Boulder Patch, (Stefansson Sound, Beaufort Sea, Alaska). These data were collected as part of a larger study to gain an in-depth understanding of mechanisms (past and present) that resulted in the Boulder Patch community we see today and how this community may vary in future conditions.