cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2pr7mw54
title: Anchorage, Alaska modified ABoVE: Landsat-derived Annual Dominant Land Cover, 1984-2054

description: We developed a compound modeling approach that enabled us to refine the available evergreen forest category in the original Arctic Boreal Vulnerability Experiment (ABoVE) dataset (https://daac.ornl.gov/ABOVE/guides/Annual_Landcover_ABoVE.html) to include black and white spruce and hemlock. The data is a geotiff (30 meter resolution) with 17 land cover classes.
 The published paper with the methods can be found at: https://doi.org/10.3390/f14081577. This archive includes 1984, 1994, 2004, 2014 and predicted 2024, 2034, 2044, and 2054.
 Because medium resolution landcover data that include species detail are lacking, we developed a compound modeling approach that enabled us to refine the available evergreen forest category into highly flammable species and less flammable species. We then expanded our refined landcover at decadal time steps from 1984 to 2014. With the aid of an existing burn model, FlamMap, and simple succession rules, we were able to predict future landcover at decadal steps until 2054. Our resulting land covers provide important information to communities in our study area on current and future wildfire risk and vegetation changes and could be developed in a similar fashion for other areas. These data will then be used to assess wildfire hazards and risk.
DOI: 10.15468/dl.skjpwy
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/0016844-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2pv6b87c
title: Characterization of decade-time scale change in Retrogressive Thaw Slumps across Northern Alaska, 2021-2023

description: Delineations of Retrogressive Thaw Slump (RTS) expansion and light detection and ranging (LiDAR) datasets (LAS files) of RTS sites were used to model how rates of RTS change are influenced by topographic and climatic characteristics across northern Alaska. LiDAR data were collected at ten sites, where five were collected from an uncrewed aerial system (UAS) and five were collected from a terrestrial LiDAR systems (TLS). LiDAR datasets were used to bias correct the open-source ArcticDEM (2 meter-resolution) for calculating annual rates of RTS volumetric losses across all sites. RTS Delineations were used to calculate annual rates of RTS areal expansion and summarize topographic characteristics calculated from the corrected ArcticDEM. Two shapefiles were created from historic satellite and aerial imagery (1949-2021) to summarize RTS areal change across 44 slumps: AK_RTS_ExansionDelineations.shp summarizes the area of RTS expansion between two time periods and AK_RTS_Delineations.shp summarizes the total RTS outline in each year where RTS expansion occurs. LiDAR UAS and TLS data are provided as LAS files from 12 slumps (five sites) near Toolik Lake and 9 slumps (5 sites) within the Noatak National Preserve.
DOI: 10.15468/dl.z2szqv
title: Occurrence Download

description: A dataset containing 80240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Bryophyta"
 ]
}

 The dataset includes 80240 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016836-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2q52ff68
title: Fairbanks sulfate isotope measurements during ALPACA (2022）

description: Within and surrounding high-latitude cities, poor air quality disturbs Arctic ecosystems, influences climate, and harms human health. The Fairbanks North Star Borough has wintertime particulate matter (PM) concentrations that exceed the Environmental Protection Agency’s (EPA) threshold for public health. Particulate sulfate (SO42-) is the most abundant inorganic species and contributes approximately 20% of the total PM mass in Fairbanks, but air quality models underestimate observed sulfate concentrations. Here we quantify sulfate sources using size-resolved δ34S(SO42-), δ18O(SO42-), and Δ17O(SO42-) of particulate sulfate in Fairbanks from January 18th to February 25th, 2022 using a Bayesian isotope mixing model. 
 This data contains sulfur and oxygen isotope measurements for size-resolved filter samples collected during the Alaskan Layered Pollution and Chemical Analysis field campaign in 2022. Ambient concentrations of SO2, HMS, non-HMS S(IV), SO4, and the sulfur oxidation ratio are also included. Finally, the median fractional contributions of each oxidation pathway calculated in the Bayesian isotope mixing model are included with their 95% confidence interval.
DOI: 10.18739/a2qb9v74z
title: Advanced Topographic Laser Altimeter System / Ice, Cloud and land Elevation Satellite-2 (ATLAS/ICESat-2 L3A) Land Ice Height, Version 6

description: This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.
 Smith, B., Adusumilli, S., Csathó, B. M., Felikson, D., Fricker, H. A., Gardner, A. S., Holschuh, N., Lee, J., Nilsson, J., Paolo, F., Siegfried, M. R., Sutterley, T. &amp; the ICESat-2 Science Team. (2023). ATLAS/ICESat-2 L3A Land Ice Height. (ATL06, Version 6). [Data Set]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/ATLAS/ATL06.006. [describe subset used if applicable]. Date Accessed 12-09-2024.
DOI: 10.18739/a2qj7809h
title: Soil Incubation / Microbial Respiration data for boreal Alaska regions where burn frequency has increased (2019)

description: The experiment is designed to evaluate whether an increase in burn frequency causes changes in microbial respiration and affects rates of soil C (carbon) loss in boreal forest upland soils. Soils were collected from two burn complexes in north central Alaska, just south of the Yukon River. One was off the Dalton (DA) Highway and the other the Steese (ST) Highway. The areas have burned, in the 65 year prior to 2019, either 0 times (x), 1x, 2x, or 3x. Stands were previously upland black spruce. The data is from a ~127-day incubation of organic and mineral soils conducted in the laboratory under controlled temperature and moisture conditions. The samples were held at 15 °C (celsius) for 34 days, a temperature manipulation performed (2,5,10,15,20 °C) over ~23 days, and then the samples brought back to 15 °C for the remainder of the experiment. Samples from the incubated soils were analyzed for Carbon (C), Nitrogen (N) and Organic Matter (OM) concentrations.
DOI: 10.18739/a2qr4ns5c
title: Atmosphere to Surface Profiles of Water Vapor Isotopes and Meteorological Conditions over the Northeast Greenland Ice Sheet Data Product for 2022 Field Campaign

description: This data set corresponds to the data product of the paper, "Atmosphere to Surface Profiles of Water Vapor Isotopes and Meteorological Conditions over the Northeast Greenland Ice Sheet" in JGR: Atmospheres. The purpose of this study was to determine the isotopic composition of water-vapor above an interior ice sheet site in order to evaluate the ability of model physics to predict its composition. This dataset is comprised of water-vapor isotope and atmospheric state variable measurements (temperature and humidity) for 104 UAV flights over the Greenlandic Ice Sheet during the July of 2022. It also includes precipitation and snow isotopes at 12-hour intervals at 1 centimeter (cm) and 5 cm depths during the unmanned aerial vehicle (UAV) sampling period window. We additionally present modeled water-vapor isotope expectations for each water-vapor isotope measurement using a Lagrangian back trajectory model coupled to a water distillation model, Hybrid Single-Particle Lagrangian Integrated Trajectory - Simple Water Isotope Model (HySPLIT-SWIM).
 Methods and a detailed description of data products can be found in the aforementioned paper.
DOI: 10.18739/a2qv3c57m
title: eXpendable Conductivity Temperature Depth (XCTD) profiles of temperature and salinity from Sermilik Fjord during July 2015

description: Five temperature and salinity profiles from Sermilik Fjord in Southeast Greenland. The profiles were collected using Sippican XCTD-1 eXpendable Conductivity Temperature Depth (XCTD) probes hand deployed from a helicopter. The profiles were collected on July 27 2015 in the ice mélange region of the Helheim Glacier/Sermilik Fjord system. The profiles were manually examined, quality controlled, and are provided as 2-meter (m) depth bin averaged profiles. The collection of these XCTD profiles was done concurrently with a shipboard survey of Sermilik Fjord from August 2 to August 13 2015. The shipboard Conductivity Temperature Depth (CTD) data are provided separately. These data were collected as part of a long-term project to monitor Sermilik Fjord to determine what water masses flow into and out of the fjord; in particular, if warm, Atlantic water from the Irminger Sea penetrates into the fjord and how freshwater from ice melt is diluted and transported out of the fjord. Observations have been collected in the fjord since 2008.
DOI: 10.18739/a2r20rz48
title: Operational Taxonomic Unit (OTU) assignments based on 18S ribosomal DNA (rDNA) and ribulose bisphosphate carboxylase (rbcL) gene sequence data from Macoma calcarea stomachs collected in the Bering and Chukchi Seas (2018-2019)

description: Understanding changes at the base of the marine food web in the rapidly transforming Arctic is essential for predicting and evaluating ecosystem dynamics. The northern Bering Sea experienced record low sea ice in 2018, followed by the second lowest in 2019, highlighting the urgency of the issue for this region. In this study, we investigated the diet of the clam Macoma calcarea in the Pacific Arctic using Deoxyribonucleic acid (DNA) metabarcoding, employing 18S and rbcL markers to identify dietary components. Our findings revealed a strong dependence on pelagic diatoms, particularly Chaetoceros spp., with a near absence of ice algae in the clam diet. This pattern reflects the lack of lipid-rich ice algal production during these low sea ice events. Additionally, our analysis detected algae capable of producing harmful toxins, notably Alexandrium dinoflagellates, underscoring the need for increased monitoring due to potential ecosystem and human health risks. This study demonstrates the utility of DNA metabarcoding in unraveling the complex dynamics of Arctic marine food webs and pelagic-benthic coupling, providing a glimpse of future conditions in a rapidly changing environment. This dataset includes the operational taxonomic unit (OTU) assignments for each gene marker.
DOI: 10.6084/m9.figshare.29219039
title: Multi-Scale Feature Pyramid Network with Bidirectional Attention for Efficient Mural Image Classification

description: This study proposes a mural classification model based on DenseNet201 FPN, which integrates bidirectional attention mechanism (Bi CBM), dynamic focus distillation loss, and convex optimization regularization. By using multi-scale feature fusion (28 × 28 × 256, 14 × 14 × 512, 7 × 7 × 1024) to enhance texture perception ability, and utilizing bidirectional LSTM iterative optimization of channel and spatial attention weights, the recognition performance of low-frequency categories (such as clothing textures) is significantly improved. By combining the dynamic temperature distillation strategy (T=3 → 1) with the balanced teacher model (ResNeXt101) and real label supervision, the rare category F1 score was increased by 6.1%. On the self built mural dataset (2000 images/26 categories), an accuracy rate of 87.9% was achieved (an improvement of 3.7% compared to DenseNet201), and the inference speed of edge devices reached 63ms/frame (Jetson TX2/8.1W), providing an efficient solution for the digitization of cultural heritage in resource constrained environments.
DOI: 10.6084/m9.figshare.29219039.v1
title: Multi-Scale Feature Pyramid Network with Bidirectional Attention for Efficient Mural Image Classification

description: This study proposes a mural classification model based on DenseNet201 FPN, which integrates bidirectional attention mechanism (Bi CBM), dynamic focus distillation loss, and convex optimization regularization. By using multi-scale feature fusion (28 × 28 × 256, 14 × 14 × 512, 7 × 7 × 1024) to enhance texture perception ability, and utilizing bidirectional LSTM iterative optimization of channel and spatial attention weights, the recognition performance of low-frequency categories (such as clothing textures) is significantly improved. By combining the dynamic temperature distillation strategy (T=3 → 1) with the balanced teacher model (ResNeXt101) and real label supervision, the rare category F1 score was increased by 6.1%. On the self built mural dataset (2000 images/26 categories), an accuracy rate of 87.9% was achieved (an improvement of 3.7% compared to DenseNet201), and the inference speed of edge devices reached 63ms/frame (Jetson TX2/8.1W), providing an efficient solution for the digitization of cultural heritage in resource constrained environments.
DOI: 10.18739/a2r20rz5r
title: Litter tissue chemistry for three plant species from ambient or increased soil nutrient plots in moist acidic tundra in northern Alaska, 2010

description: We conducted a decomposition study in three fertilization experiments in moist acidic tussock (MAT) tundra near Toolik Lake, Alaska that differed in duration. This study was designed to better understand the trajectory of decomposition over time when soil nutrients are increased. Results will help us make better predictions about changes in element cycling associated with warming in the Arctic. We decomposed leaves from three plant species: Betula nana, Eriophorum vaginatum, and Rubus chamaemorus over a three year time period in both control (CT) and fertilized (NP) plots that had begun in 1989, 1996, or 2006. To quantify litter tissue chemistry, in August 2010 we collected leaves of these three species from plots with ambient soil nutrient availability and plots that had been fertilized since 2006. Leaves were dried and analyzed for percent (%) Carbon (C), %Nitrogen (N), cellulose, and lignin.
DOI: 10.18739/a2r49gb6z
title: Zooplankton compositional (Carbon, Nitrogen) and morphological parameters for key species and taxa collected during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition, 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 morphological and compositional parameters collected over the period of the drift.
 This data set contains the carbon and nitrogen content (micrograms [µg]) and lengths for individuals or groups of calanoid copepods and other taxa (e.g., amphipods, chaetognaths), width (micrometers [µm]) for copepods, and body area (micrometers squared [µm2]) and lipid sac area (µm2) for Calanus spp. copepods collected in different water depth intervals at approximately weekly intervals during the period of the drift.
DOI: 10.18739/a2rb6w427
title: Interactive Multisensor Snow and Ice Mapping System Daily Northern Hemisphere Snow and Ice Analysis at 1 kilometer, 4 kilometer, and 24 kilometer Resolutions Version 1, northern hemisphere, 1997-present

description: This data set provides maps of snow cover and sea ice for the Northern Hemisphere from February 1997 to the present from the United States National Ice Center (USNIC). USNIC analysts produce these using the Interactive Multisensor Snow and Ice Mapping System (IMS). Maps are derived from a variety of data products including satellite imagery and in situ data. The data are provided in ASCII text and GeoTIFF formats in three different resolutions: 1 kilometer (km), 4 km, and 24 km.
 The purpose of the Interactive Multisensor Snow and Ice Mapping System (IMS) is to provide Satellite Analysis Branch (SAB) analysts with the ability to interactively create, save, and distribute highly accurate maps depicting the extent of daily hemispheric snow and ice coverage. In order to assist the user in making snow/ice determinations, the IMS incorporates a wide variety of satellite imagery (Advanced Very High Resolution Radiometer (AVHRR), Geostationary Operational Environmental Satellites (GOES), Special Sensor Microwave/Imager (SSMI), etc.) as well as derived mapped products (United States Air Force (USAF) Snow/Ice Analysis, advanced microwave sounding unit (AMSU), Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E), National Centers for Environmental Prediction (NCEP) models, etc.) and surface observations. The product is presently used as an operational input into several National Weather Service (NWS) computer weather prediction models as well as several other governmental agencies.
 U.S. National Ice Center. 2008, updated daily. IMS Daily Northern Hemisphere Snow and Ice Analysis at 1 km, 4 km, and 24 km Resolutions, Version 1. Boulder, Colorado USA. NSIDC: National Snow and Ice Data Center. doi: https://doi.org/10.7265/N52R3PMC. [2020-11-06].
DOI: 10.18739/a2rf5kh61
title: Landscape evolution and adapting to change in ice-rich permafrost systems, Prudhoe Bay, Alaska, 2022-2023

description: This project is part of Navigating the New Arctic (NNA) which addresses converging scientific challenges in the rapidly changing Arctic. Specifically, the goal of this project is to better understand ice-rich permafrost at local, regional, and circumpolar scales.
 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 and next to the infrastructure/disturbed environment at Prudhoe Bay, Alaska. Collected ground temperature data are intended to help researchers, communities and public with ongoing activities to mitigate a threat of thawing permafrost on the local and regional scale, and to provide spatial data for validation of climate scenario models and temperature reanalysis approaches.
DOI: 10.18739/a2rj48x0f
title: Phytoplankton pigments from discrete water samples collected from the Research Vessel Sikuliaq, Gulf of Alaska to Bering Sea, 2023

description: This data set includes measurements of water samples collected at hydrographic stations from the R/V Sikuliaq during the Arctic Chief Scientist Training cruise June 6–12, 2023 sponsored by the University National Oceanographic Laboratory System (UNOLS) Arctic Icebreaker Coordinating Committee and the National Science Foundation. SKQ202309T was utilized as a training expedition for early-career Arctic oceanographers, focusing on skills essential for leading research cruises. Training topics centered on logistics, how to request time on ships, how to coordinate personnel and equipment, how to plan for operations and survey tasks at sea, how to work with vessel crew and staff, and how to edit research plans based on field conditions. Participants collected various data sets opportunistically throughout the research training. The cruise transited from Seward to Nome and water samples were collected at seven hydrographic stations for phytoplankton pigments (this data set). Specifically, this data set contains chlorophyll-a and its degradation product, pheophtyin collected at discrete water depths. Bottled 200 milliliter (mL) seawater samples were filtered onto 25 millimeter (mm) Whatman GF/F filters in the dark immediately following collection from a Conductivity, Temperature, and Depth (CTD) rosette system. Chlorophyll-a was extracted from filters using 90% acetone and measured using a calibrated Trilogy Fluorometer (Turner Designs, San Jose, California) along with pheophytin using the acidification method.
DOI: 10.15468/dl.chc9uw
title: Occurrence Download

description: A dataset containing 7 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 (Terrapene carolina (Linnaeus, 1758))",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016845-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.