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Walker, Branden; Wilcox, Evan; Marsh, Philip — 2020-11-17 Presented here is the final dataset accompanying the publication, ,"Accuracy Assessment of Late Winter Snow Depth Mapping for Tundra Environments Using Structure-From-Motion Photogrammetry" submitted to <i>Arctic Science</i>, in Spring 2020. Included within are seven Structure-from-Motion (SfM) photogrammetry snow depth maps produced using a fixed-wing Unmanned Aerial System (UAS) and the methods described within the corresponding manuscript. In situ observations of snow depth collected using a Magnaprobe snow depth probe and snow-surface elevations are also included in separate CSV files and represent the final dataset used for ground validation during the 2018 March and April field campaigns at Trail Valley Creek, Northwest Territories, Canada. <p><p>A readme file is included containing important information on data collection, processing and QA/QC including UAS flights protocol, RTK GNSS benchmark coordinates and elevation datum, and processing steps for each snow depth map presented.

Wilcox, Evan; Wolfe, Brent; Marsh, Philip — 2022-05-02 This dataset contains water isotope concentrations measured from 25 lakes at five time points in 2018, along with snowpack and rainfall isotope concentrations from 2018. The lakes spanned a ~70km stretch of the Inuvik to Tuktoyaktuk Highway (ITH). Rainfall samples were collected in Inuvik, while snowpack samples were collected within the vicinity of the Trail Valley Creek Research Station. The dataset also contains lake and watershed characteristics for the 25 lakes that were sampled for water isotope analysis. Lake-specific properties include surface area, watershed position, depth, latitude, longitude, and elevation, while watershed-specific properties include surface area, average hillslope angle, drainage density, and ice-wedge polygon coverage. Watersheds were delineated using a 2-metre resolution digital elevation model and the D8 algorithm. Within each watershed, the areas of ice-wedge polygons were identified visually from satellite imagery and digitized manually. Drainage density was calculated as the length of all flowpaths with a contributing area greater than 5000 m2, and then divided by the total area of the watershed.

Wilcox, Evan; Keim, Dawn; de Jong, Tyler; Walker, Branden; Mann, Philip; Marsh, Philip — 2020-02-05 These data were collected to better understand what influences frost table depth at a small (10-1000 m) scale within Arctic shrub tundra. Frost table depth was collected at eight grids and two transects eight times between June 11 and August 20, 2015, resulting in a total of 3056 frost table depth measurements. At locations where frost table depth was measured, snow, vegetation and other landscape variables thought to affect frost table depth were also documented. For more description of the data collection methods, see Wilcox et al. (2019), https://doi.org/10.1139/as-2018-0028.

Martin, Julia; Boike, Julia; Chadburn, Sarah; Zwieback. Simon; Anselm, Norbert; Goldau, Maybrit; Hammar, Jennika; Abramova, Ekatarina N; Lisovski, Simeon; Coulombe, Stéphanie; Dakin, Brampton; Wilcox, Evan; Giamberini, Mariasilvia; Rader, Fieke; Suominen, Otso; Rudd, Daniel Alexander; Mastepanov, Mikhail; Young, Amanda — 2023 The Terrestrial Multidisciplinary distributed Observatories for the Study of the Arctic Connections (T-MOSAiC) 2021 permafrost thaw data set provides standardized measurements for permafrost thaw and the linked parameters snow depth, vegetation height, water level and soil texture as suggested by Boike et al., 2021. It contains measurements from eight circumpolar permafrost sites where data was obtained using the myThaw app which is based on the user-friendly, multiparameter protocol for standardized monitoring of permafrost thaw for the year 2021. The data set contains detailed metadata for each site including data on the timing of data collection, geographical coordinates and land surface characteristics (vegetation, ground surface and water features). https://creativecommons.org/licenses/by/4.0/legalcode