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1. EDANSA-2019: The Ecoacoustic Dataset from Arctic North Slope Alaska

   https://doi.org/10.5281/zenodo.6824272  

   Çoban, Enis Berk; Perra, Megan; Pir, Dara; Mandel, Michael (January 2022, Zenodo)

   We are sharing the Ecoacoustic Dataset from Arctic North Slope Alaska (EDANSA-2019), a dataset with audio samples collected from the area of 9000 square miles throughout the 2019 summer season on the North Slope of Alaska and neighboring regions.</p> There are over 27 hours of labeled data according to 28 tags with enough instances of 9 important environmental classes to train baseline convolutional recognizers.</p> Please see the following GitHub page for the accompanying publication, updates about the dataset, and baseline code: https://github.com/speechLabBcCuny/EDANSA-2019 </p> 

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2. A detrital zircon test of large-scale terrane displacement along the Arctic margin of North America

   https://doi.org/10.1130/G48336.1  

   Gibson, Timothy M.; Faehnrich, Karol; Busch, James F.; McClelland, William C.; Schmitz, Mark D.; Strauss, Justin V. (January 2021, Geology)

   null (Ed.)

   Abstract Detrital zircon U-Pb geochronology is one of the most common methods used to constrain the provenance of ancient sedimentary systems. Yet, its efficacy for precisely constraining paleogeographic reconstructions is often complicated by geological, analytical, and statistical uncertainties. To test the utility of this technique for reconstructing complex, margin-parallel terrane displacements, we compiled new and previously published U-Pb detrital zircon data (n = 7924; 70 samples) from Neoproterozoic–Cambrian marine sandstone-bearing units across the Porcupine shear zone of northern Yukon and Alaska, which separates the North Slope subterrane of Arctic Alaska from northwestern Laurentia (Yukon block). Contrasting tectonic models for the North Slope subterrane indicate it originated either near its current position as an autochthonous continuation of the Yukon block or from a position adjacent to the northeastern Laurentian margin prior to >1000 km of Paleozoic–Mesozoic translation. Our statistical results demonstrate that zircon U-Pb age distributions from the North Slope subterrane are consistently distinct from the Yukon block, thereby supporting a model of continent-scale strike-slip displacement along the Arctic margin of North America. Further examination of this dataset highlights important pitfalls associated with common methodological approaches using small sample sizes and reveals challenges in relying solely on detrital zircon age spectra for testing models of terranes displaced along the same continental margin from which they originated. Nevertheless, large-n detrital zircon datasets interpreted within a robust geologic framework can be effective for evaluating translation across complex tectonic boundaries. 

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3. Computer Vision for Bioacoustics: Detection of Bearded Seal Vocalizations in the Chukchi Shelf Using YOLOV5

   https://doi.org/10.1109/JOE.2023.3307175  

   Escobar-Amado, Christian; Badiey, Mohsen; Wan, Lin (January 2024, IEEE Journal of Oceanic Engineering)

   Year-round recordings of bearded seal calls were collected in the northeastern edge of the Chukchi Continental Slope (Alaska, within the Arctic Circle) in 2016–2017, 2018–2019, and 2019–2020. While the underwater vocalizations of bearded seals are often analyzed manually or using automatic detections manually validated, in this article, a detection and classification system (DCS) based on the You Only Look Once Version 5 (YOLOV5) algorithm is proposed. With YOLOV5, the network learns how to detect and classify these marine mammals’ calls using the principle of computer vision for object detection in images where bounding boxes enclose the objects of interest. During training, validation, and testing, YOLOV5 achieved an accuracy of 96.54%, 93.36%, and 93.87%, respectively. The DCS was applied to the three-yearlong dataset, and an analysis of the vocal behavior of the bearded seals showed that there exists a geographical dependence where this species prefers shallower water depths in the Chukchi Continental Slope. Another advantage of using YOLOV5 over other typical DCS is that the predicted bounding boxes have embedded statistical information about the vocalization, such as the duration, bandwidth, and center frequency of the signals. This additional information equips biologists with statistical data that facilitate the analysis of animal vocal behavior. 

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4. Range shifts in a foundation sedge potentially induce large Arctic ecosystem carbon losses and gains

   https://doi.org/10.1088/1748-9326/ac6005  

   Curasi, Salvatore R; Fetcher, Ned; Hewitt, Rebecca E; Lafleur, Peter M; Loranty, Michael M; Mack, Michelle C; May, Jeremy L; Myers-Smith, Isla H; Natali, Susan M; Oberbauer, Steven F; et al (April 2022, Environmental Research Letters)

   Abstract Foundation species have disproportionately large impacts on ecosystem structure and function. As a result, future changes to their distribution may be important determinants of ecosystem carbon (C) cycling in a warmer world. We assessed the role of a foundation tussock sedge ( Eriophorum vaginatum ) as a climatically vulnerable C stock using field data, a machine learning ecological niche model, and an ensemble of terrestrial biosphere models (TBMs). Field data indicated that tussock density has decreased by ∼0.97 tussocks per m 2 over the past ∼38 years on Alaska’s North Slope from ∼1981 to 2019. This declining trend is concerning because tussocks are a large Arctic C stock, which enhances soil organic layer C stocks by 6.9% on average and represents 745 Tg C across our study area. By 2100, we project that changes in tussock density may decrease the tussock C stock by 41% in regions where tussocks are currently abundant (e.g. −0.8 tussocks per m 2 and −85 Tg C on the North Slope) and may increase the tussock C stock by 46% in regions where tussocks are currently scarce (e.g. +0.9 tussocks per m 2 and +81 Tg C on Victoria Island). These climate-induced changes to the tussock C stock were comparable to, but sometimes opposite in sign, to vegetation C stock changes predicted by an ensemble of TBMs. Our results illustrate the important role of tussocks as a foundation species in determining future Arctic C stocks and highlight the need for better representation of this species in TBMs. 

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5. Biogenic Emissions and Aerosol Response on the North Slope (BEAR-oNS) datasets for Utqiagvik, Alaska in the summer of 2023

   https://doi.org/10.18739/A2BC3T01M  

   Sheesley, Rebecca; Matthews, Tate; Shrestha, Sujan (January 2025, NSF Arctic Data Center)

   Climate in the Arctic is changing at a rapid pace. When vegetation reacts to these changes, chemicals called biogenic volatile organic compounds (BVOCs) can be released into the atmosphere in new ways. This project seeks to investigate how climate change affects the quantity and type of BVOCs released into the atmosphere on the North Slope of Alaska (NSA). In addition, we are interested in the chemical reactions these BVOCs undergo in the Arctic atmosphere. Project goals will be accomplished through field work on the NSA, and collection and laboratory analysis of atmospheric samples. Specifically, the project intends to measure the concentration of BVOCs and their secondary organic aerosol products during North Slope of Alaska field campaigns. In addition to BVOCs and organic acids, the measurements include additional baseline measurements of other volatile organic compounds (VOC) and aerosol components. We are reporting inorganic ions, alkanes, and polycyclic aromatic hydrocarbons (PAHs) for aerosol composition and select aromatic and oxidized VOCs. The time period for these detailed measurements is Jun - Aug 2023 for Utqiagvik, Alaska (AK). VOC measurements were made by proton transfer reaction mass spectrometry. The proton transfer reaction mass spectrometer (PTR-MS) was operated with Hydronium (H3O+) ion at the Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) site in Utqiagvik, AK from 170623 to 130823. Total suspended particulate matter samples were collected on quartz fiber filters at a roughly weekly schedule. These filters were then used for offline analysis. Offline measurement of cations and anions was conducted using ion chromatography. Offline measurement of alkanes and PAH was conducted using thermal desorption gas chromatography - mass spectrometry. 

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