cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a26688k9d
title: High-Resolution Repeat Topography of Drifting Ice Floes in the Arctic Ocean from Terrestrial Laser Scanning Collected on the Multidisciplinary drifting Observatory for the Study of Arctic Climate Expedition

description: Data are available for download at: https://arcticdata.io/data/10.18739/A26688K9D/ Many processes involving the fluxes of mass, energy, and momentum in Arctic sea ice impact and are impacted by the snow and ice topography. We conducted 42 days of measuring the snow and ice topography on approximately a 0.5 km squared drifting parcel of Arctic sea ice from 18 October 2019 to 9 May 2020 via Terrestrial Laser Scanning (TLS) on the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. We have aligned the TLS data into an ice-fixed, lagrangian reference frame such that topographic changes (e.g. snow accumulation) can be observed on some ice floes for time periods up to six months. Using in-situ measurements, we have validated the vertical accuracy of the alignment to within a 95% confidence interval of plus or minus 0.011 m. These data can be used to investigate snow accumulation and redistribution, ice dynamics, surface roughness, and they can provide invaluable context for many other co-located measurements. These measurements were made as part of the snow and ice team work at MOSAiC. For an overview of all snow and ice team work please see: https://doi.org/10.1525/elementa.2021.000046. Additionally, a data descriptor paper providing additional details, figures, and tables related to this dataset will be published following publication of this dataset. This dataset supersedes https://doi.org/10.18739/A25717P9Q, https://doi.org/10.18739/A2901ZH4K, and https://doi.org/10.18739/A2DR2P98D. This dataset contains all information in those prior datasets and has superior alignment quality.
DOI: 10.18739/a26d5pc5p
title: Simultaneous Heat and Water (SHAW) model inputs and outputs in boreal Alaska, 2003-2018

description: This dataset supports a manuscript in which we describe SHAW (Simultaneous Heat and Water) model calibration using a Generalized Likelihood Uncertainty Estimation (GLUE) approach at four boreal forest sites in interior Alaska. Two sites (Smith Lake 1 and Smith Lake 2) are permafrost-underlain black spruce sites. The other two are upland deciduous sites that were burned at varying intervals prior to the study period (US-Rpf (Poker Flat Research Range) and UP1A (upland birch site in the Bonanza Creek LTER site)). Meteorological, vegetation, and soils data were obtained from a variety of resources, as detailed in the manuscript. Acceptable parameter sets are determined based on calibration to soil moisture and evaporation at these sites. Model instances with these parameter sets are then run with two downscaled climate models in order to evaluate the relative sensitivity of soil moisture and evapotranspiration to parameter selection, GCM (Global Climate Model), and climate change. These data include tabular summary results and model inputs and outputs for both observed meteorological forcings and GCM forcings for the accepted parameter sets. More details are in the manuscript, and file structures for the included data are described in the readme.md file. Data archived can be found here: https://doi.org/10.4211/hs.5a355d67357a4b8591def61602fe276b Please see related resources for full manuscript details.
DOI: 10.18739/a26q1sj48
title: Interview Data from April 2022: End-Users' Perceptions of Water Services in Rural Alaska

description: This dataset includes anonymized interview data collected in the Yukon-Kuskokwim Delta in April 2022. These interviews were designed to capture end-users' perceptions and experiences with their water infrastructure systems. Interview questions included, for example: Can you tell me how you use water in your household?; What do you like about your water or water system?; What are some of the concerns/challenges you deal with in your household water system?; Do you worry about whether your water is safe to drink? Forty-one semi-structured interviews with 55 end-users are included. These interviews were conducted from April 21st to April 29th, 2022. Forty of the interviews were conducted in-person and one was conducted via teleconferencing. Interviews were recorded (with permission), transcribed, checked for quality, and anonymized.
DOI: 10.18739/a26q1sj5r
title: Toolik Lake and Imnaviat Creek plot-level Normalized Difference Vegetation Index, Plant Functional Type Cover, and CO2 flux, 2010-2011

description: The Normalized Difference Vegetation Index (NDVI), derived from reflected visible and infrared radiation, has been critical to understanding change across the Arctic, but relatively few ground truthing efforts have directly linked NDVI to structural and functional properties of Arctic tundra ecosystems. To improve the interpretation of changing NDVI within moist acidic tundra (MAT), a common Arctic ecosystem, we coupled measurements of NDVI, vegetation structure, and CO2 flux in seventy MAT plots, chosen to represent the full range of typical MAT vegetation conditions, over two growing seasons.
DOI: 10.18739/a26t0gx63
title: Arctic Ocean 3.5 kilometer model monthly mean outputs for 2014 and configuration for rerunning model with and without tides

description: Data are available at: https://arcticdata.io/data/10.18739/A26T0GX63. This data set is part of an NSF project to understand the role of tides and high frequency winds in influencing the Arctic ocean stratification and sea ice. A high resolution model was configured, with horizontal resolution of 3.5km and 90 vertical levels varying from 1m at the surface to 200m at the ocean floor. Three runs were set up, (1) with JRA55 full atmospheric forcing and with tides, (2) same as (1) but without tides, (3) same as (2) but with 48-hour running mean winds. The runs were spun up from WOA13 version 1 and zero velocity for 12 years, then run for 2014 with outputs of basic model variables for diagnostics. As such, all three runs were not constrained to observations and had biases in watermass, circulations, and sea ice representations. In the data set, monthly mean hydrography (T,S,U,V) and 2D ocean-seaice and atmospheric forcings are provided for 3 runs to see how the mean ocean-sea ice states are different for the year 2014. In addition, the data set provides instruction for how to set up the runs and all input binary fields, model code, input parameters required to generate high resolution model outputs for runs with tidal forcings and/or low frequency winds for the year 2014. The model outputs are in subdirectories called nc_tiles_monthly_[tides,notides,notides_LFwinds]. Model grid is provided in nctiles_grid. A figure tile_Arctic.png provides geographic map of where the tiles are located, and the "available_diagnostics.log" file provides detailed description and units of the output variables. For re-running the model, three subfolders are provided as follows: code_c67 and NAMELISTS_c67 are the model code and input parameters that is tied to the open-sourced MITgcm checkpoint 67 (https://github.com/MITgcm/MITgcm/archive/checkpoint67.zip). input_binaries: inputs in raw binary format (float32) required for the runs, including the model grid (tile00*.mitgrid), bathymetry, pick-up and associated meta files, lateral open boundary T,S,U,V extracted from ASTE Release 1 (https://arcticdata.io/catalog/portals/ASTE), surface forcings from the Japanese Reanalysis JRA55 product, and tidal potential field generated from open-source code distributed at https://github.com/joernc/tidal-potential. Finally, a README.txt file provides the brief overview of the data set, and a PDF file Highres_runs_outputs_guide.pdf provides more in-depth details and structures of the outputs, as well as matlab scripts to reorganize the model raw binary outputs into tiles in binary and netcdf for efficient storage and post-processing.
DOI: 10.18739/a26w96b1v
title: Oxygen incubations for whole seawater respiration rates during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC), 2019-2020

description: This dataset contains water column oxygen measurements from multi-day bottle incubations collected in the Central Arctic Ocean during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition – in which the RV (Research Vessel) Polarstern was tethered to sea ice, drifting across the Central Arctic Ocean from October 2019 to September 2020. Water was collected from various depths in the water column for whole seawater respiration rates via oxygen evolution incubations during legs 1, 3, 4, and 5 of the expedition. Incubations took place in a 1 ºC (celsius) cold room onboard Polarstern. Due to temperature stability and bubble formation issues, most measurements were compromised and data has been flagged accordingly during quality checks.
DOI: 10.18739/a2707wq1n
title: Gaseous elemental mercury concentrations measured in the University of Colorado container during the 2019-2020 MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) expedition

description: This dataset contains gaseous elemental mercury (Hg(0)) concentrations measured in the Central Arctic during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. The backbone of MOSAiC was the year-round operation of the Research Vessel Polarstern that drifted with the sea ice across the Central Arctic from October 2019 to September 2020. Measurements were performed onboard Polarstern in the University of Colorado sea-laboratory container installed below deck in the forward cargo hold. A ~50 meter (m) long Teflon sampling line was deployed from the container to the bow crane to allow measurements forward of the vessel. This dataset is an archive of 30-minute averaged Hg(0) concentrations.
DOI: 10.18739/a2707wq24
title: Supporting graduate field leadership through community-sourced advice, action, and policy, 2022

description: Ecology and environmental science graduate degrees often involve fieldwork, frequently led by the graduate student. Few formal resources exist to support graduate students in successfully planning and implementing a data collection field campaign, even though this experience may be fundamental to completing a graduate degree. Graduate fieldwork requires leading and managing a team, often in unique circumstances (including long hours, remote regions, etc.), and therefore can be challenging even for those with previous leadership or field experience. Our objectives were to (1) collect general advice for graduate students on leading fieldwork safely and effectively, (2) solicit specific suggestions on resources and actions to take before, during, and after the field season, and (3) develop a series of recommendations for labs, departments, and universities to better prepare and support their students. We developed a survey to solicit community input and distributed it widely to the ecological sciences community via email LISTSERVs and social media. Here, we present results from the survey responses, including a summary of the perceived challenges that graduate students face while leading their own fieldwork, suggestions for how to prepare and complete fieldwork successfully, and a compilation of resources. Graduate field leaders can improve success via clear communication, risk assessment and procedural planning implemented before, during, and after the field season. Labs, principal investigators, departments, and professional societies can support graduate field leaders by formalizing institutional resources, financial support, and incentivizing skill development. Field leadership is a critical skill to develop during graduate education, and contributes to the success, retention, and advancement of researchers in the natural sciences.
DOI: 10.18739/a27659h0r
title: Seasonal Water Table Depth (WTD) from the Mobile Instrumented System Platform (MISP) grid in Barrow and Atqasuk, Alaska 2021

description: Seasonal water table depth measurements were collected during the 2021 growing seasons at each Mobile Instrumented System Platform (MISP) located at Utqiaġvik (formerly Barrow), Alaska as well as in Atqasuk, Alaska. If a uniform representation of the water table within each plot was visible, then a Water Table Depth (WTD) tube was placed there to measure the change in water table throughout the season. One water table depth measurement was acquired, the date, start and end times, and the people present were also recorded, at alternating grid meters. Water table depth was taken on the north side of the grid at each WTD tube in order to reduce disturbance of vegetation. These measurements are part of the Arctic Observing Network (AON) - International Tundra Experiment (ITEX) initiative and help to document seasonal changes in surface moisture and structure at high spatial scales. Special note on coronavirus disease 2019 (COVID-19) impact: 2021 summer field work was partly restricted due to the COVID-19 ongoing pandemic. Travel to native villages required a 10 to 14-day quarantine period after arrival, prompting field work to start at later dates than usual. Despite missing June sampling dates, we consider the basic field observations a success as we received at least one complete set of field observations from each site.
DOI: 10.18739/a27h1dn9q
title: Arctic chironomid training set from Canada, Greenland, Iceland and Svalbard for estimating paleotemperatures (2022)

description: This dataset includes chironomid species assemblage data and air temperature estimates from 400+ lakes across northern North America, Greenland, Iceland, and Svalbard to inform interpretations of Holocene subfossil chironomid assemblages used in paleolimnological reconstruction. This calibration-set was developed by re-identifying and taxonomically harmonizing chironomids in previously described surface sediment samples, with identifications made at finer taxonomic resolution than in original publications (which are cited in the publication describing this dataset, Medeiros et al. 2022 Quaternary Science Reviews, and should be cited by dataset users). Site summer air temperatures are newly estimated with a consistent method using the WorldClim 2.1 gridded bioclimatic dataset. The large geographic coverage of this dataset is intended to provide climatic analogs for a wide range of Holocene climates in the northwest North Atlantic region and North American Arctic, including Greenland. For many of these regions, modern calibration data for paleoclimate proxies are sparse despite keen interest in paleoclimate reconstructions from high latitudes. Dataset users should consult and cite the following source publication: Medeiros, A.S., Chipman, M., Francis, D.R., Hamerlik, L., Langdon, P., Puleo, P.J.K., Schellinger, G., Steigleder, R., Walker, I.R., Woodroffe, S., and Axford, Y. 2022. A continent-scale chironomid training set for reconstructing arctic temperatures. Quaternary Science Reviews 294, 107728. DOI 10.1016/j.quascirev.2022.107728.
DOI: 10.18739/a27w6770m
title: (:unkn)
DOI: 10.18739/a27w67713
title: Dissertation Research. Knowledge Production and Arctic Environmental Futures. Nuuk, Greenland and Continental USA. Anthropology. 2019-2022

description: This research sought to better understand how scientific facts about global environmental change are made and cross-culturally communicated. It shed light on the ways that culture and history shape scientific research practices among US and Greenland based hydrologists, geologists, and environmental scientists. It aimed to better understand how different communities of researchers working in Greenland discuss and think about the future of the environment, and how they communicate and collaborate with one another and the public in Nuuk, Greenland. The research uncovered the ways that the politics of settler colonialism continue to impact the practice of science and scientific communication in Greenland. This research was undertaken from 2019-2022, and was funded by NSF Arctic Social Sciences from March 2020 forward. The researcher used ethnographic participant observation, semi-structured interviews, and media analysis to collect data and complete a dissertation based on this research in August 2022. The project was severely impacted by the COVID-19 pandemic, forcing the researcher to shift from in-person to remote digital methodologies beginning in March 2020.
DOI: 10.18739/a2804xm3v
title: Inductively coupled plasma - optical emission spectrometry of pond sediments, Copper River Delta, AK: collected in 2017, measured in 2022

description: High-latitude, coastal wetland biogeochemistry is dynamic in response to climate change, and yet we do not understand, and thus cannot fully predict, how crucial aspects of these systems will change in the future. Temperatures in the Northern Hemisphere have disproportionately increased 4° Celsius (C) in 30 years causing the rate of deglaciation to increase significantly in global high-latitude river deltas. This will have a prolonged effect on local microbiome metabolism and biodiversity of the subsurface, influencing solid, liquid, and gaseous compounds in the system. Using sediment geochemical analyses, autonomous sampling techniques, and 16S rRNA (Ribosomal ribonucleic acid) gene sequencing, we have identified key processes that occur in the Copper River Delta, AK (Alaska), a model system to study high-latitude watersheds during rapid climate change. We calculated carbon accumulation rates upwards of 520 ± 60 grams (g) C per meter squared per year (m-2 yr-1) in outwash pond sediments nearest to the glaciers, which co-occurred with pronounced suboxic peaks in Iron (Fe) (III) and Manganese (Mn) (II). Sediment microbial communities across the outwash ponds are structured on the basis of total iron and manganese concentrations, proximity to glaciers, and organic matter content. Additionally, we revealed no methane accumulation in the ponds during ice-cover, despite high organic matter content. High-latitude wetland ecosystems are not only influenced by the changing climate, but also have the potential to impact carbon cycling considering high carbon burial rates. These findings show the importance of understanding changing biogeochemical processes in high-latitude wetlands, as they have the potential to influence carbon cycling.
DOI: 10.18739/a28k74x79
title: Surface Mass Balance and Snow Depth on Sea Ice Working Group (SUMup) accumulation on land ice subdataset, Greenland and Antarctica, 1980-2017

description: This dataset includes accumulation on land ice measurements from both hemispheres. This dataset is a community effort to distribute easy to use in-situ data to improve surface mass balance modeling and remote sensing efforts. This dataset is a compilation of work from many individual researchers. When using this dataset please cite both the individual researchers who provided the data as listed in the Citation field as well as this dataset. The snow accumulation on land ice subdataset contains over 300,000 data points. The Arctic accumulation measurements, all within Greenland, contain 48% of the measurements with ~1% coming from Summit Station. The Antarctic contains the remaining 51% of the measurements. While most of the data are measurements of accumulation between 1950 and present (~97%), to coincide with the time span of many regional climate models and reanalysis products, some records (~3%) are included dating back to 1800. The measurement methods include ice cores, snow pits, radar isochrons, and stake measurements. Fields of data include the date taken, latitude, longitude, start year and end year (if not an annual measurement), year (if annual), accumulation, error, elevation, radar horizontal resolution, method, name of field campaign, and associated citation.
DOI: 10.18739/a28k74z0c
title: Meteorological data collected from the Chamberlain Glacier, Lake Peters, and McCall Glacier in the Brooks Range, Alaska, 1957-1971

description: Data from three International Geophysical Year (IGY) (1957-1958) expeditions and one International Hydrological Decade National Science Foundation project (1969-1972) to the eastern Alaska North Slope have been rescued and made available in digital form: Chamberlain Glacier, Lake Peters, and McCall Glacier. Comparisons between these sites and United States and Canadian Weather Service stations within 500 kilometers (km) of McCall Glacier were conducted to determine the broad temperature climatology of the region. McCall Glacier is generally a swing site, and the climatology of the region often was linked most closely to the Beaufort Sea coast, though on some occasions, was more closely related to the Mackenzie River Delta and on other occasions, to the Interior. This data set is a series of CSV data files containing daily meteorological conditions collected annually from approximately April to August.
DOI: 10.18739/a2901zh4k
title: Terrestrial Laser Scanning Data of the ROV (Remote Operated Vehicle) area on the MOSAiC (Multidisciplinary Drifting Observatory for the Study of Arctic Climate) Expedition on February 22, 2020

description: These data are superseded by the following dataset, which has superior alignment quality: https://doi.org/10.18739/A26688K9D. These Terrestrial Laser Scanning (TLS) data were collected on February 22, 2020 at the Multidisciplinary Drifting Observatory for Arctic Climate (MOSAiC) Expedition. The MOSAiC Expedition continuously made in-situ measurements on a collection of drifting sea ice floes In the Arctic Ocean from October 2019 to May 2020. TLS, also known as Terrestrial Light Detection and Ranging (LiDAR), is an active remote sensing modality in which a tripod-mounted, rotating laser emitter and detector (the TLS sensor) scans the surroundings emitting pulses of light and tracking the time it takes for a pulse to return. From the time of flight and the orientation of each pulse, the sensor creates a point cloud of the surroundings. These point clouds have been written out as LAS 1.4 files. This dataset consists of nine point clouds collected from scan positions in the vicinity of the Remote Operated Vehicle (ROV) tent on February 22, 2020. This dataset contains 9 Terrestrial Laser Scans (TLS) of snow and sea ice on the MOSAiC Expedition. There were moderate blowing snow conditions on the day these data were collected. These data are used by Clemens-Sewall et al. 2021 to demonstrate the efficacy of FlakeOut, a filter designed to remove wind-blown snowflakes from TLS data. They were collected by Ian Raphael and processed by David Clemens-Sewall. These data are provided in a directory structure such that they can be processed and analyzed by FlakeOut (Clemens-Sewall 2021: https://github.com/davidclemenssewall/flake_out/tree/v1.0.0 or https://zenodo.org/record/5657286#.YZRRcLtOlH4). To download these data in this directory structure, please press 'Download All'.