cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kx8hcn
title: Occurrence Download

description: A dataset containing 20179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Tiliqua rugosa (Gray, 1825))",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 20179 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016833-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a28g8fk10
title: Pan-Arctic lake area time series (2017-2021)

description: ### Access

Data are available for download at [http://arcticdata.io/data/10.18739/A28G8FK10](http://arcticdata.io/data/10.18739/A28G8FK10)

To download all files in the command line, run the following command in a terminal:

`wget -r -np -nH --cut-dirs=3 -R '\?C=' -R robots.txt https://arcticdata.io/data/10.18739/A28G8FK10`

To download only a subdirectory of the archived files, add the subdirectory to the end of the URL above.

### Overview

Lake area for permanent and seasonal in the Arctic were derived from Landsat satellite imagery from 1984-2021 using machine learning. Data was collected for lakes with a maximum extent larger than one hectare, buffered by 30 meters, within four discontiguous transects across the Arctic region at latitudes greater than 60 degrees North. This region covers large parts of the northern permafrost terrain. This annual lake area data was merged with lake size trend attributes derived from the years 2011-2020. Lake area change rates were normalized by area and/or perimeter. The lake extraction methodology is based on Nitze et al, 2017 and 2018. This dataset is version 2.0. You can find version 1.0, related to Nitze et al. 2018 here: https://apgc.awi.de/dataset/hot-t1-prd-lake-ls-1999-2014 https://apgc.awi.de/dataset/hot-t2-prd-lake-ls-1999-2014 https://apgc.awi.de/dataset/hot-t3-prd-lake-ls-1999-2014 https://apgc.awi.de/dataset/hot-t4-prd-lake-ls-1999-2014

Data files were merged, and the annual permanent and seasonal water data for 2017-2021, a subset of the available years, was fed into the Permafrost Discovery Gateway visualization workflow. This workflow cleaned, standardized, and visualized the data and output two Tile Matrix Sets per year. One Tile Matrix Set is the data in the form of GeoPackages, or staged tiles, and the other Tile Matrix Set is the staged tiles in the form of GeoTIFF tiles. The highest resolution tiles were resampled to produce GeoTIFFs for lower resolutions. In the future, this dataset will be expanded for annual data for 1984-2021. This visualized data will be published on the Permafrost Discovery Gateway portal: https://arcticdata.io/catalog/portals/permafrost/Imagery-Viewer

Data limitations in use: This data is part of an initial release of the pan-Arctic data product for lake area and size trends, and it is expected that there are constraints on its accuracy and completeness. Users are encouraged to provide feedback regarding how they use this data and issues they encounter during post-processing. Please reach out to the dataset contact or a member of the Permafrost Discovery Gateway team via support@arcticdata.io.
DOI: 10.18739/a28g8fk3z
title: Understand and forecast long-term variations of in-situ geophysical and geomechanical characteristics of degrading permafrost in the Arctic - continuously observed ground temperatures, Utqiagvik, Alaska, 2023-2024

description: This project is part of the National Science Foundation (NSF) United States Department of Agriculture-National Institute of Food and Agriculture (NIFA)-jointly-funded Signals in the Soil (SitS) program whose goal is to support collaborative research on dynamic soil processes and soil formation through advances in sensor systems and predictive, process-based and mechanistic modeling.
 This dataset provides ground temperature data in the active layer and near-surface permafrost to provide a baseline for assessing the future changes in the near-surface temperatures in the natural environment at Utqiagvik, Alaska. Collected ground temperature data are intended to help researchers ground-truth measurements of geophysical and geomechanical properties measured using a 1.5-kilometer-long fiber-optic distributed acoustic sensing array. The project outcomes will enable realistic evaluation of the performances of infrastructure in Arctic Alaska and improve the design of more robust infrastructure in the Arctic.
DOI: 10.18739/a28g8fk4f
title: Gridded Alaska Sea Ice Program ice concentration data, 2007 - 2022

description: The National Weather Service Alaska Sea Ice Program (ASIP) produces manually-drawn, high-resolution sea ice maps for the Pacific Arctic. This is done by leveraging all available imagery and observations of sea ice conditions in the preceding 24 hours, prioritized by data quality and latency. These ice maps are published three times per week from 2007 to June 30, 2014, and then daily from July 1, 2014 to the present. The data follow World Meteorological Organization standard for ice charts, meaning the shapefiles are published in SIGRID-3 vector archive format and published charts are in standard color code. Within these shapefiles, the source data are expressed as a series of polygons, each with an ice concentration range.
 Here, we compute the average ice concentration within each polygon, as well as the range. These data are then projected onto a 0.05 degree grid in latitude and longitude. Ultimately, this results in gridded maps of sea ice concentration for each day of available data.
DOI: 10.18739/a28p5vb9m
title: Meroplanktonic larvae collected during the polar night in Kongsfjorden, Svalbard (January 2023)

description: The Polar Night is a period of complete darkness in the high Arctic, meaning that for a period ranging from several weeks to 6 months there is no solar activity fueling primary production to support the marine ecosystem. Despite this, recent studies have found evidence of active feeding, growth, and reproduction in multiple marine organisms during this period. Here, we describe the polar night diversity of early pelagic life stages of benthic invertebrates (meroplankton), a group that has historically been largely overlooked. We assessed the taxa richness of meroplanktonic larvae in January 2023 in Kongsfjorden, Svalbard, using plankton tows. Although meroplankton densities were lower than in other seasons, deoxyribonucleic acid (DNA) barcoding of the cytochrome c oxidase subunit I (COI) and 16S loci allowed us to assess richness, which was much higher than other studies and seasons, with 48 unique taxa belonging to 6 phyla observed. Further targeted research should focus on the Polar Night to better understand seasonal patterns in reproduction and development.
DOI: 10.18739/a28s4jr2j
title: High resolution isotopic measurements from 4 Greenland Ice Sheet (GrIS) ice cores (2021-2024)

description: Lead pollution found in ice cores extracted from polar ice sheets and glaciers reflects human activities, including mining and smelting related to early silver production, as well as coal, oil, and gasoline burning. Isotopic analyses of lead in glacier ice can be used to identify past changes in emission sources. Between October 2021 and September 2024, lead isotopic records were developed from four Greenland Ice Cores (GrIP) (Tunu2022a, Tunu2022b, North Greenland Ice Core Project 2 [NGRIP2], and REnland ice CAP project [RECAP]) at the Desert Research Institute's Trace Chemistry/Ice Core Laboratory. Lead isotopic analyses were performed on discrete meltwater samples using a High Resolution Inductively Coupled Plasma Mass Spectrometer (HR-ICP-MS). The original overarching goals of the project, were to (1) exploit recently refined methods developed for urban geochemistry to develop high-resolution records of lead (Pb) isotopes (206Pb, 207Pb, 208Pb) in Greenland ice cores, (2) use these records to identify and quantify changes in anthropogenic emission sources during the past 2,500 years, and (3) evaluate linkages between these changes and historical events extending from Antiquity through the Middle Ages to the present. These records have implications for understanding of how events such as plague, social upheaval, warfare, and technological advancements in mining and smelting influenced human history.
DOI: 10.34740/kaggle/dsv/12041694
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.18739/a2901zh90
title: Cell Recoverability and Metabolism of Colwellia Psychrerythraea at a Range of Sub-Zero Temperatures, 2021

description: Liquid water is essential to life as we know it, yet most planets and moons in our solar system have surface temperatures well below the freezing point of pure water. As part of an effort to identify potential biosignatures and biosignature targets for upcoming space-exploration life detection missions, arctic strain Colwellia psychrerythraea 34H was incubated at -5, -36, and -196 degrees Celsius (°C) over the course of a week, with time points as short as 0.5 hours (h). Samples were examined for cell abundance, recoverability, and metabolic activity over the course of the incubation period to accompany 13C6-Leucine incorporation proteomic data. This is the compiled raw data that accompanies the proteomic data (-5°C only; The mass spectrometry proteomics data are publicly available on the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD059470. Additionally, an interactive proteomic data analysis from all experiments is available on the Limelight Server (https://limelight.yeastrc.org/limelight/p/cp34h_perchlorate_13c_leucine (accessed on 6 January 2025)). This research was undertaken at the Applied Physics Laboratory at the University of Washington, Seattle in 2021.
DOI: 10.18739/a2930nx1f
title: Near-Real-Time National Oceanic and Atmospheric Administration/ National Snow and Ice Data Center (NOAA/NSIDC) Climate Data Record of Passive Microwave Sea Ice Concentration, Version 2

description: This data set provides a near-real-time Climate Data Record (CDR) of sea ice concentration from passive microwave data. The Near-real-time NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration (NRT CDR) data set is the near-real-time version of the final NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration (G02202). The NRT CDR is designed to fill the temporal gap between updates of the final CDR, occurring every three to six months, and to provide the most recent data.
 Citation: Meier, W. N., Fetterer, F., Windnagel, A. K. and Stewart, J. S. (2021). Near-Real-Time NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration. (G10016, Version 2). [Data Set]. Boulder, Colorado USA. National Snow and Ice Data Center. https://doi.org/10.7265/tgam-yv28. [describe subset used if applicable]. Date Accessed.
DOI: 10.18739/a2959c934
title: Pond water salinity along the Kashunk River in the Y-K Delta of western Alaska, summer 2023

description: During September 2022, Typhoon Merbok flooded a large area of the Yukon-Kuskokwim Delta (Y-K Delta) in western Alaska. This flood had the potential to alter the salinity of the numerous ponds and small water bodies in the region. We surveyed pond water salinity during early to mid-summer in 2023 along the Kashunuk river in the central Y-K Delta. Ponds were sampled along transects perpendicular to the river extending up to 500 meters (m) from the river at 26 sample points between the mouth and ca. 50 km inland. Data reported is pond water salinity in parts per thousand at multiple ponds per sample transect
DOI: 10.18739/a29882p8d
title: Arctic hydrological regime shift in a warming climate, Linnedalen, Svalbard: hydroclimate observations (2017-2023)

description: Long-term hydroclimate monitoring in Linnédalen, western Spitsbergen provides a baseline for understanding climate and environmental change in the rapidly warming 21st century climate in Svalbard. Monitoring watershed and climatological processes also provides the means for directly interpreting the annually resolved sedimentation record (varves) in proglacial Linnévatnet, which in turn, will allow for an understanding of the current hydroclimatic regime in a long-term context. Related sediment core data were submitted by our collaboration partners at the University of Massachusetts, Amherst. An automated weather station, snow depth and stream water temperature sensors, time-lapse cameras, and moorings in Linnévatnet have been deployed since 2003 in the 31 square kilometer (km2) catchment of Linnédalen. This project (2016-2023) follows hydroclimate studies initiated during the National Science Foundation - Office of Polar Programs (NSF-OPP) sponsored Svalbard Research Experience for Undergraduates (REU) which ran from 2003 to 2013 archived and research and teaching in Linnédalen while the project was affiliated with the University Centre in Svalbard 2016-2022. Data from the earlier phase of the Linnedalen monitoring project includes weather station measurements, time lapse photography, and student theses and reports was archived in the Arctic Data Center and can be found here: https://arcticdata.io/catalog/view/urn:uuid:1b96e994-20a1-4445-a327-3256c040034f
DOI: 10.15468/dl.8tec6k
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016832-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a29c6s30w
title: Springtime Orthomosaic Images and Digital Surface Models for Beaver Dams and Ponds, northern Baldwin Peninsula, Alaska, April 2024

description: The Arctic Beaver Observation Network (A-BON): Tracking a new disturbance regime project observes beaver engineering across circumarctic treeline and tundra environments during the last half-century by mapping and tracking beaver ponds using remote sensing imagery. Drones are being used to collect baseline data and track beaver dam building and pond evolution over time. This dataset consists of orthomosaic images and digital surface models (DSMs) derived from drone surveys on 02 April and 09 April 2024 for three beaver dam and beaver pond sites (Kotz3, BWest, and BEast) on the Baldwin Peninsula, Alaska. Digital images were acquired from a DJI Phantom 4 Real-Time Kinematic (DJI P4RTK) quadcopter with a DJI D-RTK 2 Mobile Base Station. The drone system was flown at 120 meters (m) above ground level (agl) and flight speeds varied from 8-9 meters/second (m/s). The orientation of the camera was set to 90 degrees (i.e. looking straight down). The along-track overlap and across-track overlap of the mission were set at 80% and 70%, respectively. All images were processed in the software Pix4D Mapper (v. 4.8.4) using the standard 3D Maps workflow and the accurate geolocation and orientation calibration method to produce the orthophoto mosaic and digital surface model at spatial resolutions of 5 and 10 centimeters (cm), respectively. Elevation information represents the snow-covered surface. A Leica Viva differential global positioning system (GPS) provided ground control for the mission and the data were post-processed to WGS84 UTM Zone 3 North in Ellipsoid Heights (meters).
DOI: 10.18739/a29c6s31c
title: Chemical, elemental, gas, and isotopic measurements spanning the past 500 years from the Summit2023 ice core collected in Greenland

description: The specific goals of this project were to (1) investigate the rate and timing of temperature-dependent in situ biological production of carbon monoxide and methane in an Arctic ice core, (2) develop records of atmospheric carbon monoxide and methane spanning recent centuries, and (3) determine the roles that ice impurities may play in any observed in situ gas production. The collection and analysis of a ~150 meter (m) long ice core from Summit Station, Greenland in 2023 was used for these investigations and analysis of the ice core was conducted both in the field and in the Ice Core Laboratory at the Desert Research Institute (Reno, NV). This ice core was drilled within Summit Station near the cargo line, so ice deposited after camp establishment in the late 1980s was not analyzed because of contamination.
DOI: 10.18739/a29g5gg2q
title: Scoping Interviews and workshops about electric vehicles in Kotzebue, Galena, and Bethel, Alaska

description: This study’s objectives were to identify barriers and perceived benefits towards electric vehicle (EV) adoption and explore EV adoption rates across the Arctic. We conducted community workshops in Bethel, Galena, and Kotzebue, Alaska, and 25 interviews with businesses and local governments. 
 The reduction of greenhouse gas emissions is an international impetus to transition from vehicles with internal combustion engines (ICE) to electric vehicles. While this transition is happening rapidly in some regions of the world that are mainly urbanized, other predominately rural and less developed regions are slower to adopt this technology. Rural Alaska serves as an example with its not-road-connected communities, high cost of electricity, extreme environmental conditions, and isolated power grids often powered by diesel. This study’s objectives were to identify barriers and perceived benefits towards EV adoption and explore EV adoption rates across the Arctic. We conducted community workshops in Bethel, Galena, and Kotzebue, Alaska, and 25 interviews with businesses and local governments. The top five impediments to EV adoption are the inability to maintain vehicles locally, cold weather performance, higher purchase prices compared to ICE vehicles, and the cost of electricity. The successful adoption of EVs in isolated microgrid communities in the Arctic requires investments in appropriate financial incentives, especially for low-income households, expansion of renewable power generation, and climate and culture-relevant proof-of-concept vehicles. Residents acknowledged that EVs generally operate much cleaner than vehicles with ICE, can have lower fuel and maintenance costs, and cause less air and noise pollution. Policy implications for overcoming the challenges related to the transition to EVs in remote rural parts of the globe are discussed.
DOI: 10.7266/n7h41pdg
title: Biodegradation of naphthalenes in marsh sediments of the Gulf of Mexico
DOI: 10.18739/a29p2w79v
title: Game Camera Footage of Beaver-Impacted Streams in the Northwest Arctic, 2023-2024

description: ### Access
All files can be accessed and downloaded from the directory via: [http://arcticdata.io/data/10.18739/A29P2W79V](http://arcticdata.io/data/10.18739/A29P2W79V).

### Overview
Emergence of beavers as ecosystem engineers in the New Arctic project focuses on establishing field sites at tundra beaver ponds to study the implications of beaver engineering on ecosystems. We established game camera sites around beaver-impacted streams across the Seward Peninsula, Baldwin Peninsula and Lower Noatak River areas from January 2023 to August 2024. We aimed to collect information regarding ice formation phenology, overflow dynamics, and wildlife interactions. 23 cameras were deployed adjacent to beaver dams, and 8 were deployed at "control" sites in a parts of streams that remained unimpacted by beavers. Most cameras were set in a hybrid setting, collecting images through timelapse and trigger settings. Other cameras were just in trigger mode. We used three brands of cameras, and each brand exhibited unique symptoms that led to many different malfunctions. Nevertheless, the data archived captured important seasonal events like ice-up, break-up, green-up, and fall senescence. Cameras also captured a variety of wildlife, including red foxes, moose, brown bears, porcupine, martens, willow ptarmigan, green-winged teal, and, of course, beavers.
DOI: 10.18739/a29s1kn19
title: 1-D Grain Size Evolution Model for Ice

description: Viscous flow in ice is often described by the Glen flow law—a non-Newtonian, power-law relationship between stress and strain-rate with a stress exponent n ~ 3. The Glen law is attributed to grain-size-insensitive dislocation creep; however, laboratory and field studies demonstrate that deformation in ice can be strongly dependent on grain size. This has led to the hypothesis that at sufficiently low stresses, ice flow is controlled by grain boundary sliding, which explicitly incorporates the grain-size dependence of ice rheology.
 The Matlab code provided here is based on the model of Behn et al. (2021), which couples grain-size evolution with a composite viscous flow law that incorporates both grain-boundary sliding and dislocation creep to provide a self-consistent description of deformation and grain size evolution in ice. Grain size evolution is modeled using the “wattmeter” (Austin &amp; Evans, 2007; 2009). The wattmeter posits that grain size is controlled by a balance between the mechanical work required for grain growth and dynamic grain size reduction. Using this code, grain size evolution can be calculated in a 1-D column as a function of depth within an ice sheet.
 This modeling study was conducted at Boston College between 2018–2021.
 Austin, N. J. and Evans, B.: Paleowattmeters: A scaling relation for dynamically recrystallized grain size, Geol., 35(4), 343, doi:10.1130/G23244A.1, 2007.
 Austin, N. and Evans, B.: The kinetics of microstructural evolution during deformation of calcite, J. Geophys. Res., 114(B9), B09402, doi:10.1029/2008JB006138, 2009.
 Behn, M.D., Goldsby, D.L., and Hirth, G.: The role of grain size evolution in the rheology of ice: implications for reconciling laboratory creep data and the Glen flow law, The Cryosphere, v. 15, 4589-4605, https://doi.org/10.5194/tc-15-4589-2021, 2021.
DOI: 10.18739/a29z90d88
title: Zooplankton rate process measurements for key species and taxa collected during the Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition, Arctic Ocean, 2019-2020

description: The Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition was conducted from October 2019-September 2020. During this ~1 year period, the Research Vessel (R/V) Polarstern was frozen into the ice in the Central Arctic Ocean north of Norway and drifted with the prevailing currents from north to south, traversing multiple Arctic basins and regimes, and was re-located in late July to near the North Pole after drifting through Fram Strait. The ship served as a floating laboratory for an international, multidisciplinary program focusing on multiple facets of ice, ocean, atmosphere, biogeochemistry, and ecosystem responses to ongoing changing environmental conditions. Zooplankton ecology was investigated as part of the ecosystem team program. Here we present data on key zooplankton rate processes collected over the period of the drift including: respiration, feeding, and reproduction.