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1. Central sites

   https://doi.org/10.14379/iodp.proc.357.104.2017  

   Früh-Green, GL; Orcutt, BN; Green, SL; Cotterill, C; Morgan, S; Akizawa, N; Bayrakci, G; Behrmann, J-H; Boschi, C; Brazleton, WJ; et al (February 2017, Proceedings of the International Ocean Discovery Program Expedition reports)

   During Expedition 357, cores were recovered from three sites in the central area of Atlantis Massif: Sites M0069, M0072, and M0076 (Figure F1; Table T1). Newly acquired multibeam data, combined with preexisting data sets, were evaluated prior to each site to guide the drill teams with regard to anticipated seabed conditions and slope. 

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2. Eastern sites

   https://doi.org/10.14379/iodp.proc.357.103.2017  

   Früh-Green, GL; Orcutt, BN; Green, SL; Cotterill, C; Morgan, S; Akizawa, N; Bayrakci, G; Behrmann, J-H; Boschi, C; Brazleton, WJ; et al (February 2017, Proceedings of the International Ocean Discovery Program Expedition reports)

   During Expedition 357, cores were recovered from two sites in the eastern area of Atlantis Massif: Sites M0068 and M0075 (Figure F1; Table T1). Newly acquired multibeam data, combined with preexisting data sets, were evaluated prior to each site to guide the drill teams with regard to anticipated seabed conditions and slope. 

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3. Characterization of decade-time scale change in Retrogressive Thaw Slumps across Northern Alaska, 2021-2023

   https://doi.org/10.18739/A24746T31  

   Hall, Emma; Lara, Mark (January 2025, NSF Arctic Data Center)

   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. 

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4. Uneven missing data skew phylogenomic relationships within the lories and lorikeets.

   https://doi.org/10.1101/398297  

   Smith, Brian Tilston; Mauck III, William M; Benz, Brett W; Andersen, Michael J. (May 2020, Genome biology and evolution)

   null (Ed.)

   The resolution of the Tree of Life has accelerated with advances in DNA sequencing technology. To achieve dense taxon sampling, it is often necessary to obtain DNA from historical museum specimens to supplement modern genetic samples. However, DNA from historical material is generally degraded, which presents various challenges. In this study, we evaluated how the coverage at variant sites and missing data among historical and modern samples impacts phylogenomic inference. We explored these patterns in the brush-tongued parrots (lories and lorikeets) of Australasia by sampling ultraconserved elements in 105 taxa. Trees estimated with low coverage characters had several clades where relationships appeared to be influenced by whether the sample came from historical or modern specimens, which were not observed when more stringent filtering was applied. To assess if the topologies were affected by missing data, we performed an outlier analysis of sites and loci, and a data reduction approach where we excluded sites based on data completeness. Depending on the outlier test, 0.15% of total sites or 38% of loci were driving the topological differences among trees, and at these sites, historical samples had 10.9× more missing data than modern ones. In contrast, 70% data completeness was necessary to avoid spurious relationships. Predictive modeling found that outlier analysis scores were correlated with parsimony informative sites in the clades whose topologies changed the most by filtering. After accounting for biased loci and understanding the stability of relationships, we inferred a more robust phylogenetic hypothesis for lories and lorikeets. 

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5. Moorings along the seafloor cable route extending offshore from Oliktok Point, Alaska, from April to September of 2023.

   https://doi.org/10.18739/A24J0B01J  

   Thomson, Jim; Smith, Madison (January 2024, NSF Arctic Data Center)

   Seafloor moorings measuring pressure and temperature were deployed from April to September 2023 at three sites near the route of the fiber optic telecommunications cable that extends offshore of Oliktok Point, Alaska. The raw data data (1 Hertz (Hz) sampling) are processed for hourly estimates of the ocean surface wave conditions, along with average seawater temperature and average depth. The sites were ice-covered from April to July, then mostly open water in August and September. The data were collected to calibrate proxy wave measurements using Distributed Acoustic Sensing (DAS) from the telecommunications cable. 

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