Trent University Dataverse Collection

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.

Please contact Trent University Library & Archives MaDGIC if you have questions or need assistance.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1 to 10 of 32 Results

Data files used for the deer network manuscript analysis Feb 20, 2026 - Deer Network Manuscript (Gunderson et al. 2025) Greer, Amy; Gunderson, Sara; Shafer, Aaron; Patterson, Brent; Northrup, Joseph; Sucharzewski, Stephen, 2026, "Data files used for the deer network manuscript analysis", https://doi.org/10.5683/SP3/JZMNQK, Borealis, V1, UNF:6:uCGckGqCWj4rIvZTQhXkCw== [fileUNF] Data used for deer network analysis.
Deer Network Manuscript (Gunderson et al. 2025)(Trent University) Feb 20, 2026Greer Lab Dataverse This Dataverse contains all datafiles related to the pre-print manuscript: Sara Gunderson, Aaron B. A. Shafer, Brent R. Patterson, Joseph M. Northrup, Stephen Sucharzewski, and Amy L. Greer. (2025) Deer connections: Unraveling the social contact networks of white-tailed deer (Odocoileus virginianus) using proximity logging devices. Submitted to Eco...
Greer Lab Dataverse(Trent University) Feb 20, 2026 Dataverse for Amy Greer's research lab, Department of Biology, Trent University
Evaluating ecological factors influencing survival, reproduction and establishment of Culicoides spp. post-dispersal: A scoping review protocol Jan 22, 2026 Dam, Sydney L.; Greer, Amy L., 2026, "Evaluating ecological factors influencing survival, reproduction and establishment of Culicoides spp. post-dispersal: A scoping review protocol", https://doi.org/10.5683/SP3/GJIXPY, Borealis, V1 This is a protocol to describe the methodology which will be used to conduct a scoping review addressing the research question: "What ecological factors influence the survival, reproduction and establishment of the biting midge genus Culicoides following dispersal to a new location?"
Predictive Modelling of Lake Ontario Shipwrecks Sep 24, 2025 Conolly, James, 2025, "Predictive Modelling of Lake Ontario Shipwrecks", https://doi.org/10.5683/SP3/Y2LHA1, Borealis, V1 Data and code used to develop a predictive model of nineteenth century accidental shipwrecks locate in Lake Ontario, Canada.
Data for: Microplastic fate in a chronosequence of biosolid-amended agricultural soil in Southern Ontario, Canada Aug 8, 2025 Walker, Harriet, 2025, "Data for: Microplastic fate in a chronosequence of biosolid-amended agricultural soil in Southern Ontario, Canada", https://doi.org/10.5683/SP3/N1EF1V, Borealis, V1, UNF:6:KgTdIkjHFCHxU0LDA96vcQ== [fileUNF] Raw dataset to accompany a study on the retention of microplastics in agricultural soil following the land application of biosolids. The associated is titled "Microplastic fate in a chronosequence of biosolid-amended agricultural soil in Southern Ontario, Canada".
Evaluation of the accuracy of multispectral land cover classification algorithms: Comparison of AI-based Machine Learning, Maximum Likelihood, and Mahalanobis Distance Algorithms Jul 14, 2025 Hoque, Md, 2025, "Evaluation of the accuracy of multispectral land cover classification algorithms: Comparison of AI-based Machine Learning, Maximum Likelihood, and Mahalanobis Distance Algorithms", https://doi.org/10.5683/SP3/PQ6GGK, Borealis, V1, UNF:6:G50ViOgY+Dr/mNccRtUzMA== [fileUNF] These are field data of forest types, species and extent of land cover type, including grassland, water extent. The data were the basis for analysis of forest degradation as depicted by a set of multispectral band-ratio indices and their relationship to climate variables and climate change data derived from General Circulation Models (GCM). These d...
Matlab Scripts for Automated Particle Tracking Velocimetry using a novel Expected Particle Area Searching method (EPAS-PTV) Jul 9, 2025 O'Brien, Patrick, 2025, "Matlab Scripts for Automated Particle Tracking Velocimetry using a novel Expected Particle Area Searching method (EPAS-PTV)", https://doi.org/10.5683/SP3/OE1TT9, Borealis, V1 This dataset contains the Particle Tracking Velocimetry (PTV) Matlab (tm) scripts used to process highspeed camera images captured during a series of wind tunnel experiments of sand particle motion. Several scripts are used to automatically identify and track sand particles using expected area searching, and size comparisons, then output the descri...
Characterization of atmospheric water-soluble brown carbon in the Athabasca oil sands region, Canada Feb 20, 2025 Blanchard , Dane, 2025, "Characterization of atmospheric water-soluble brown carbon in the Athabasca oil sands region, Canada", https://doi.org/10.5683/SP3/DCCS4O, Borealis, V1, UNF:6:l8GadtK1cmtLZkmDROPrAg== [fileUNF] The attached file contains active sampler and continuous monitoring station station air quality data as outlined in the Atmospheric Chemistry and Physics journal publication.
Replication data for dust generation from aggregate comminution during transport in a laboratory wind tunnel 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 concentration (TSI DustTrak) were obtained.

Data files used for the deer network manuscript analysis

Feb 20, 2026 - Deer Network Manuscript (Gunderson et al. 2025)

Greer, Amy; Gunderson, Sara; Shafer, Aaron; Patterson, Brent; Northrup, Joseph; Sucharzewski, Stephen, 2026, "Data files used for the deer network manuscript analysis", https://doi.org/10.5683/SP3/JZMNQK, Borealis, V1, UNF:6:uCGckGqCWj4rIvZTQhXkCw== [fileUNF]

Data used for deer network analysis.

Deer Network Manuscript (Gunderson et al. 2025)(Trent University)

Feb 20, 2026Greer Lab Dataverse

This Dataverse contains all datafiles related to the pre-print manuscript: Sara Gunderson, Aaron B. A. Shafer, Brent R. Patterson, Joseph M. Northrup, Stephen Sucharzewski, and Amy L. Greer. (2025) Deer connections: Unraveling the social contact networks of white-tailed deer (Odocoileus virginianus) using proximity logging devices. Submitted to Eco...

Greer Lab Dataverse(Trent University)

Feb 20, 2026

Dataverse for Amy Greer's research lab, Department of Biology, Trent University

Evaluating ecological factors influencing survival, reproduction and establishment of Culicoides spp. post-dispersal: A scoping review protocol

Jan 22, 2026

Dam, Sydney L.; Greer, Amy L., 2026, "Evaluating ecological factors influencing survival, reproduction and establishment of Culicoides spp. post-dispersal: A scoping review protocol", https://doi.org/10.5683/SP3/GJIXPY, Borealis, V1

This is a protocol to describe the methodology which will be used to conduct a scoping review addressing the research question: "What ecological factors influence the survival, reproduction and establishment of the biting midge genus Culicoides following dispersal to a new location?"

Predictive Modelling of Lake Ontario Shipwrecks

Sep 24, 2025

Conolly, James, 2025, "Predictive Modelling of Lake Ontario Shipwrecks", https://doi.org/10.5683/SP3/Y2LHA1, Borealis, V1

Data and code used to develop a predictive model of nineteenth century accidental shipwrecks locate in Lake Ontario, Canada.

Data for: Microplastic fate in a chronosequence of biosolid-amended agricultural soil in Southern Ontario, Canada

Aug 8, 2025

Walker, Harriet, 2025, "Data for: Microplastic fate in a chronosequence of biosolid-amended agricultural soil in Southern Ontario, Canada", https://doi.org/10.5683/SP3/N1EF1V, Borealis, V1, UNF:6:KgTdIkjHFCHxU0LDA96vcQ== [fileUNF]

Raw dataset to accompany a study on the retention of microplastics in agricultural soil following the land application of biosolids. The associated is titled "Microplastic fate in a chronosequence of biosolid-amended agricultural soil in Southern Ontario, Canada".

Evaluation of the accuracy of multispectral land cover classification algorithms: Comparison of AI-based Machine Learning, Maximum Likelihood, and Mahalanobis Distance Algorithms

Jul 14, 2025

Hoque, Md, 2025, "Evaluation of the accuracy of multispectral land cover classification algorithms: Comparison of AI-based Machine Learning, Maximum Likelihood, and Mahalanobis Distance Algorithms", https://doi.org/10.5683/SP3/PQ6GGK, Borealis, V1, UNF:6:G50ViOgY+Dr/mNccRtUzMA== [fileUNF]

These are field data of forest types, species and extent of land cover type, including grassland, water extent. The data were the basis for analysis of forest degradation as depicted by a set of multispectral band-ratio indices and their relationship to climate variables and climate change data derived from General Circulation Models (GCM). These d...

Matlab Scripts for Automated Particle Tracking Velocimetry using a novel Expected Particle Area Searching method (EPAS-PTV)

Jul 9, 2025

O'Brien, Patrick, 2025, "Matlab Scripts for Automated Particle Tracking Velocimetry using a novel Expected Particle Area Searching method (EPAS-PTV)", https://doi.org/10.5683/SP3/OE1TT9, Borealis, V1

This dataset contains the Particle Tracking Velocimetry (PTV) Matlab (tm) scripts used to process highspeed camera images captured during a series of wind tunnel experiments of sand particle motion. Several scripts are used to automatically identify and track sand particles using expected area searching, and size comparisons, then output the descri...

Characterization of atmospheric water-soluble brown carbon in the Athabasca oil sands region, Canada

Feb 20, 2025

Blanchard , Dane, 2025, "Characterization of atmospheric water-soluble brown carbon in the Athabasca oil sands region, Canada", https://doi.org/10.5683/SP3/DCCS4O, Borealis, V1, UNF:6:l8GadtK1cmtLZkmDROPrAg== [fileUNF]

The attached file contains active sampler and continuous monitoring station station air quality data as outlined in the Atmospheric Chemistry and Physics journal publication.

Replication data for dust generation from aggregate comminution during transport in a laboratory wind tunnel

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 concentration (TSI DustTrak) were obtained.

Add Data

Share Dataverse

Link Dataverse

Reset Modifications