Vermont EPSCoR Publications and Products


Search        
Export 45 results:
Author Title Type [ Year(Desc)]
Filters: First Letter Of Title is U  [Clear All Filters]
2018
Hamshaw SD, Dewoolkar MM, Schroth A, Wemple B, Rizzo DM. Unraveling Sediment Dynamics Within Watersheds From Patterns in Suspended Sediment-Discharge Rrelationships. In: 2018 GSA (Geological Society of America) Northeastern Section 53rd Annual Meeting. 2018 GSA (Geological Society of America) Northeastern Section 53rd Annual Meeting. Burlington, VT: Geological Society of America (GSA); 2018. Available from: https://gsa.confex.com/gsa/2018NE/meetingapp.cgi/Paper/310311
McCabe DJ. Upside-Down Aquatics. Northern Woodlands [Internet]. 2018 . Available from: https://www.adirondackalmanack.com/2018/03/backswimmers-upside-aquatics.html
Vu CMT, Piniewski DW, McLean OAP, McCabe DJ. Use of point-and-shoot photography to compare regional differences in coyote (Canis latrans) skull size. Northeastern Naturalist [Internet]. 2018 ;25(2):319 - 333. Available from: https://bioone.org/journals/northeastern-naturalist/volume-25/issue-2/045.025.0214/Use-of-Point-and-Shoot-Photography-to-Compare-Regional-Differences/10.1656/045.025.0214.short
Koliba C, Zia A, Merrill S. Using Agent-Based Models to Prototype Governance and Policy Designs. In: XXII IRSPM Annual Conference 2018. XXII IRSPM Annual Conference 2018. Edinburgh, Scotland: International Research Society for Public Management (IRSPM); 2018. Available from: http://programme.exordo.com/irspm2018/delegates/presentation/547/
Vaughan M, Bowden WB, Vermilyea A, Shanley J, Wemple B, Schroth A. Using in situ UV-visible spectrophotometer sensors to predict phosphorus species concentrations in Lake Champlain tributaries. In: Lake Champlain Research Conference. Lake Champlain Research Conference. Burlington, VT: Lake Champlain Basin Program; 2018. Available from: http://www.lcbp.org/water-environment/data-monitoring/lake-champlain-research-conference/
Vaughan M, Bowden WB, Shanley JB, Vermilyea A, Wemple B, Schroth AW. Using in situ UV‐Visible spectrophotometer sensors to quantify riverine phosphorus partitioning and concentration at a high frequency. Limnology and Oceanography: Methods [Internet]. 2018 ;16(12):840 - 855. Available from: https://aslopubs.onlinelibrary.wiley.com/doi/full/10.1002/lom3.10287
Crossett C, Bomblies A, Dupigny-Giroux L-A, Betts AK. Using the ERA5 Reanalysis Dataset to Identify Extreme Flooding Events in the Northeastern United States. Lake Champlain Research Conference [Internet]. 2018 . Available from: http://www.lcbp.org/water-environment/data-monitoring/lake-champlain-research-conference/
Hamshaw SD. Using unmanned aircraft system (UAS) photogrammetry to monitor bank erosion along river corridors. In: Lake Champlain Research Conference. Lake Champlain Research Conference. Burlington, VT: Lake Champlain Basin Program; 2018. Available from: http://www.lcbp.org/water-environment/data-monitoring/lake-champlain-research-conference/
2019
Sosa MDelpin, Burns W, Ruiz LEsbri, Schroth A, Kincaid D, Blocher S. Understanding the Community Dynamics, Timing, and Intensity of the 2017 and 2018 Cyanobacteria Blooms in Two Shallow Eutrophic Bays in Lake Champlain. ABRCMS 2019 (Annual Biomedical Research Conference for Minority Students) [Internet]. 2019 . Available from: http://www.abrcms.org/
Hamshaw SD, Underwood KL, Rizzo DM, O'Neil-Dunne J, Dewoolkar MM. Unmanned Aircraft System (UAS) Photogrammetry for Tracking Streambank Erosion and Geomorphic Change along a Protected River Corridor. In: Eighth International Conference on Case Histories in Geotechnical Engineering. Eighth International Conference on Case Histories in Geotechnical Engineering. Philadelphia, PA: Geo-Institute of ASCE (American Society of Civil Engineers); 2019. Available from: https://ascelibrary.org/doi/10.1061/9780784482070.015
Sebestyen SD, Ross DS, Shanley JB, Elliott EM, Kendall C, Campbell JL, D. Dail B, Fernandez IJ, Goodale CL, Lawrence GB, et al. Unprocessed Atmospheric Nitrate in Waters of the Northern Forest Region in the U.S. and Canada. Environmental Science & Technology [Internet]. 2019 ;53(7):3620 - 3633. Available from: https://pubs.acs.org/doi/10.1021/acs.est.9b01276
Koliba C, Zia A, Merrill S, Voets J, Keast R, Koliba C. Using Agent-Based Models to Study Network and Collaborative Governance. In: Networks and Collaboration in the Public Sector Essential research approaches, methodologies and analytic tools. 1st ed. Networks and Collaboration in the Public Sector Essential research approaches, methodologies and analytic tools. Oxfordshire, UK: Routledge; 2019. Available from: https://www.crcpress.com/Networks-and-Collaboration-in-the-Public-Sector-Essential-research-approaches/Voets-Keast-Koliba/p/book/9781138682726
2020
Hrycik AR, Stockwell JD. Under-ice mesocosms reveal the primacy of light but the importance of zooplankton in winter phytoplankton dynamics. Limnology and Oceanography [Internet]. 2020 . Available from: https://aslopubs.onlinelibrary.wiley.com/doi/full/10.1002/lno.11618
Betts AK, Desjardins R, Strunecka A. Understanding Land–Atmosphere–Climate Coupling from the Canadian Prairie Dataset. In: Prime Archives in Environmental Research. 1stst ed. Prime Archives in Environmental Research. Hyderabad, India: Vide Leaf; 2020. Available from: https://videleaf.com/wp-content/uploads/2020/09/Understanding-Land%E2%80%93Atmosphere%E2%80%93Climate-Coupling-from-the-Canadian-Prairie-Dataset.pdf
Hecht JS, Vogel RM. Updating urban design floods for changes in central tendency and variability using regression. Advances in Water Resources [Internet]. 2020 ;136:103484. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0309170819302106
Underwood KL, Hanley J, Rizzo DM, Sterle G, Harpold AA, Adler T, Li L, Wen H, Perdrial JN. Use of machine learning to extract patterns from long-term monitoring data across the US. ESA2020 (Harnessing the Ecological Data Revolution) [Internet]. 2020 . Available from: https://eco.confex.com/eco/2020/meetingapp.cgi/Paper/86651
Crossett C, Dupigny-Giroux L-A, Bomblies A, Rizzo DM, Betts AK. Utilizing a Self-Organizing Map to Identify Synoptic Patterns in Heavy Precipitation Events in the Northeastern United States. In: AMS100 (American Meteorological Society 100th Annual Meeting). AMS100 (American Meteorological Society 100th Annual Meeting). Boston, MA: American Meteorological Society; 2020. Available from: https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/368138
2021
Betts AK, Desjardins RL. Understanding Land–Atmosphere–Climate Coupling Using Data from the Canadian Prairies. In: Shrestha DHim Lal Challenging Issues on Environment and Earth Science. Vol. 5. Challenging Issues on Environment and Earth Science. Book Publisher International (a part of SCIENCEDOMAIN International); 2021. pp. 32 - 59. Available from: https://stm.bookpi.org/CIEES-V5/article/view/1828

Pages