The Trent University Dataverse Collection is a free, bilingual research data repository for our faculty, students and staff. The platform makes it possible for researchers to deposit data, create appropriate metadata, obtain DOIs for permanent links, and maintain version control of their datasets. The repository is multidisciplinary, accepts a wide range of data types and formats, and is hosted in a secure environment on Canadian servers. Researchers can choose to make content available publicly, to specific individuals, or to keep it private.

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1 to 10 of 23 Results
Sep 18, 2024
McKenna Neuman, Cheryl, 2024, "Replication data for dust generation from aggregate comminution during transport in a laboratory wind tunnel", https://doi.org/10.5683/SP3/N0QBBL, Borealis, V1, UNF:6:n3L+F0qXD5kYBu/LoGEfHA== [fileUNF]
This data set pertains to wind tunnel experiments on dust generated from particle aggregates formed from Owens Lake playa sediment. The particles were blown though the wind tunnel at varied speeds while measurements of the particle speed (Dantec laser Doppler anemometer) and dust...
May 2, 2024
Schaefer, James, 2024, "Replication Data for: Inventory of Woody Plants in Ashburnham Memorial Park, 2024", https://doi.org/10.5683/SP3/AWLKYG, Borealis, V1, UNF:6:V44kOZuptJBlAKKbynjMsg== [fileUNF]
Abundance of forest woody plant species (density of trees, density and percent cover of shrubs) and ancillary information (geographic coordinates, community type) derived from systematic plots in Ashburnham Memorial Park, Peterborough, Ontario, Canada, 2023-2024.
Apr 2, 2024
Weissflog, Nicholas, 2024, "Fanwort (cabomba caroliniana) in Kasshabog Lake 2008 and 2022", https://doi.org/10.5683/SP3/NKWKZA, Borealis, V1, UNF:6:Z3XQU3kT/If6d+gF1YUwmg== [fileUNF]
Data from a study examining the extent of naturalization of fanwort in Kasshabog Lake, Ontario, Canada
Jul 31, 2023
Schaefer, James A., 2023, "Photographs of tundra plant communites on southeastern Victoria Island, Nunavut, Canada — 2019 & 2022", https://doi.org/10.5683/SP3/ZRK48T, Borealis, V1
These photographs accompany the quantitative vegetation data from permanent 1-m x 1-m plots in the vicinity of Wellington Bay, Victoria Island, Nunavut, Canada. The photographs were taken during August 2019 (along the South transect) and August 2022 (along the North transect).
Jun 30, 2023
Schaefer, James, 2023, "Replication Data for: Tundra plant communites on southeastern Victoria Island, Nunavut, Canada — 1991-1992 and 2019-2022", https://doi.org/10.5683/SP3/Z9LXDP, Borealis, V1, UNF:6:tZnY6/wFdLC6+pafl8TrSw== [fileUNF]
Tundra vegetation (species cover and frequency) and ancillary information (geographic coordinates, elevation, soil depth, slope, aspect, herbivore faeces) at 1-m x 1-m plots from the vicinity of Wellington Bay, Victoria Island, Nunavut, Canada, 1991-1992 and 2019-2022
Murray Lab Dataverse(Trent University)
Apr 24, 2023
Apr 7, 2023
Richards-Thomas, Tamar, 2023, "Dataset for the Wind Tunnel Simulations on Volcaniclastic Dust Emission and Dispersion Initiated by Water Droplet Impact, 2022", https://doi.org/10.5683/SP3/XUY3G6, Borealis, V1, UNF:6:tkv8xpKlV3nP/6aWFxaypg== [fileUNF]
The data files available here contain those for the physical characteristics of the water droplet and the evolving splash structure ejected from the bed surface by a water droplet. The dataset includes the concentrations of particulate matter from the splash structure less than o...
Mar 2, 2023
Wikston, Madison; Wilson, Chris; Murray, Dennis, 2023, "Amphibian detections via eDNA and conventional methods in southern Ontario wetlands", https://doi.org/10.5683/SP3/DCUGTW, Borealis, V1, UNF:6:b9Cko3ll5lWOzjAJHzFnQw== [fileUNF]
MSc research data; raw and managed data for amphibian detections via Visual Encounter Surveys, Larval Dipnet Surveys, Breeding Call Surveys, and qPCR-amplified eDNA samples. Data collected in southern Ontario in 2016. Species-specific synthetic oligonucleotide controls for qPCR a...
May 31, 2022
Watmough, Shaun, 2022, "Global Peat C and N data", https://doi.org/10.5683/SP3/TSVYII, Borealis, V1, UNF:6:l7yRbrueLanqVFdfqBKGKw== [fileUNF]
This file contains carbon, nitrogen, organic matter and pH data from peat samples collected in 24 countries. Samples were collected between 2018 and 2020.
Dec 2, 2021
Congram, Meg; Murray, Dennis, 2021, "Environmental correlates of Batrachochytrium dendrobatidis (sampled via eDNA) in Ontario waterbodies", https://doi.org/10.5683/SP3/SEPDLR, Borealis, V1
Data deriving from my MSc research; detection and quantification of environmental DNA for the amphibian pathogen Batrachochytrium dendrobatidis in southern Ontario waterbodies, coupled with environmental and habitat variables at each site.
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