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   Coughlin, D. (January 2022, ACM/IEEE Advances in Social Network Analysis and Mining)

   Abstract—Experts combating wildlife trafficking manually sift through articles about seizures and arrests, which is time consuming and make identifying trends difficult. We apply natural language processing techniques to automatically extract data from reports published by the Eco Activists for Governance and Law Enforcement (EAGLE). We expanded Python spaCy’s pre-trained pipeline and added a custom named entity ruler, which identified 15 fully correct and 36 partially correct events in 15 reports against an existing baseline, which did not identify any fully correct events. The extracted wildlife trafficking events were inserted to a database. Then, we created visualizations to display trends over time and across regions to support domain experts. These are accessible on our website, Wildlife Trafficking in Africa. 

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2. Snow Particle Analyzer for Simultaneous Measurements of Snow Density and Morphology

   https://doi.org/10.1029/2023JD038987  

   Li, Jiaqi; Guala, Michele; Hong, Jiarong (August 2023, Journal of Geophysical Research: Atmospheres)

   Key Points Snow analyzer measures size, shape, type, and density of falling snow particles using digital inline holography (DIH) and high precision scale Instrumentation is tested under various snow and wind conditions, providing real‐time snow classification and accurate density measurements Conditions under which single snow particle density can be estimated with sufficient accuracy are discussed 

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3. Lake snow removal experiment snow, ice, and Secchi depth, 2019-2021

   https://doi.org/10.6073/pasta/962fa57959ff9828eb6f1cbda79b82c0  

   Socha, Ellen; Gorsky, Adrianna (January 2022, Environmental Data Initiative)

   Although it is a historically understudied season, winter is now recognized as a time of biological activity and relevant to the annual cycle of north-temperate lakes. Emerging research points to a future of reduced ice cover duration and changing snow conditions that will impact aquatic ecosystems. The aim of the study was to explore how altered snow and ice conditions, and subsequent changes to under-ice light environment, might impact ecosystem dynamics in a north, temperate bog lake in northern Wisconsin, USA. This dataset resulted from a snow removal experiment that spanned the periods of ice cover on South Sparkling Bog during the winters of 2019, 2020, and 2021. During the winters 2020 and 2021, snow was removed from the surface of South Sparkling Bog using an ARGO ATV with a snow plow attached. The 2019 season served as a reference year, and snow was not removed from the lake. This dataset represents the snow depths, black and white ice thickness, and Secchi depths during the period of ice cover each winter. 

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4. Wildlife whodunnit: forensic identification of predators to inform wildlife management and conservation

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   Ganz, Taylor R.; DeVivo, Melia T.; Reese, Ellen M.; Prugh, Laura R. (March 2023, Wildlife Society Bulletin)
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   https://doi.org/10.1175/JCLI-D-17-0300.1  

   He, Cenlin; Takano, Yoshi; Liou, Kuo-Nan; Yang, Ping; Li, Qinbin; Chen, Fei (December 2017, Journal of Climate)