Welcome to the Cross-Disciplinary Research Data collection.

This collection, in conjunction with the Agri-environmental Research Data collection provide access to, and long-term stewardship of, research datasets created at or in cooperation with the University of Guelph. The collection was created in 2013 by the University of Guelph library.

Begin a deposit: The library offers a self-deposit with curation service. First time depositor? Complete the U of G Research Data Repositories New Depositor Intake Form. Already have dataset creator access to your home department's collection? Simply log in using your U of G username and password and begin a new deposit.

Guidance materials for preparing your research data for sharing and long-term access and instructions on how to deposit your data in the Cross-disciplinary Research Data collection can be accessed at How to deposit research data in the University of Guelph Research Data Repositories.

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.

Advanced Search

1 to 10 of 235 Results
Mar 20, 2026 - Department of Integrative Biology
Forget, Shay; Kitchenham, Lindsey; Mason, Georgia, 2026, "Supplemental data for: Scars of the past or signs of the present? Investigating persistent stereotypic behaviours in laboratory mice", https://doi.org/10.5683/SP3/SOL0VF, Borealis, V1, UNF:6:li5fHPXujxrfV+kh8QXuag== [fileUNF]
In conventional laboratory cages, mice frequently develop stereotypic behaviours (SB): repetitive, invariant behaviours with no obvious goal or function. Although transferring mice to enriched environments can reduce SBs, these behaviours do not always decrease, indicating treatment resistance. The Motor Routines Hypothesis predicts that SBs become...
Mar 18, 2026 - Bioproducts Discovery and Development Centre
Menossi, Matias; Gunasekaran, Manushri; Pesaranhajiabbas, Ehsan; Mohanty, Amar K.; Misra, Manjusri, 2026, "Toughened bio-based poly(butylene succinate)/poly(butylene adipate-co-terephthalate)/poly(3-hydroxybutyrate-co-3-hydroxyvalerate) ternary bioplastics for high-performance sustainable packaging", https://doi.org/10.5683/SP3/EZTDLI, Borealis, V1, UNF:6:kmak4C/RfCqzGwN6h41rCw== [fileUNF]
A fully biodegradable ternary blend system comprising bio-based poly(butylene succinate) (BioPBS), poly(butylene adipate-co-terephthalate) (PBAT), and poly(3-hydroxybutyrate-co-hydroxyvalerate) (PHBV) was developed to achieve a tailored stiffness-toughness balance. The influence of polymer selection, relative ratios, and hybrid compatibilizer addit...
Mar 10, 2026 - Bioproducts Discovery and Development Centre
Poulimenos, Konstantinos; Mohanty, Amar K.; Wang, Tao; Rajcan, Istvan; Pauls, K. Peter; Van Acker, Rene; Thimmanagari, Mahendra; Misra, Manjusri, 2026, "Impact of peat moss– switchgrass biochar mixtures on soybean performance with and without fertilization under controlled greenhouse conditions", https://doi.org/10.5683/SP3/X3S8VO, Borealis, V1, UNF:6:Vb2C3Zswe8aYykHMdb/f3g== [fileUNF]
Soybean (Glycine max L.) family Fabaceae, is an important crop known for its high-quality protein and oil content. This study examined how adding switchgrass (Panicum virgatum L.) biochar to peat moss growing media in a greenhouse, affected soybean growth, yield, and seed quality. A one-year experiment was conducted with three biochar rates (0%, 5%...
Mar 5, 2026 - Department of Integrative Biology
McCabe, Caelen; Caruso, Christina M., 2025, "Data from: The effect of drought stress on the limits and costs of plasticity in floral longevity in response to pollinator decline", https://doi.org/10.5683/SP3/OJYP9A, Borealis, V2, UNF:6:SzYDhAgP2CWPT5LEhcCdag== [fileUNF]
Measurements of floral longevity, number of seeds per fruit, and final aboveground dry biomass of Lobelia siphilitica plants grown in droughted or well-watered treatments in the University of Guelph Phytotron.
Feb 27, 2026 - Bioproducts Discovery and Development Centre
Menossi, Matias; Itabana, Blessing; Hoque, Monjurol; Misra, Manjusri; Mohanty, Amar K., 2026, "Sustainable composites based on poly(butylene adipate-co-terephthalate) and wood biocarbon: Influence of extrusion methodologies on final properties for eco-friendly flexible packaging applications", https://doi.org/10.5683/SP3/DH41AT, Borealis, V1, UNF:6:djOe5P19v2mMGW07uvhxHw== [fileUNF]
This study explores the development of sustainable composites comprising poly(butylene adipate-co-terephthalate) (PBAT) reinforced with wood biocarbon (BC) at 5 and 10 wt.% loadings. The influence of two different extrusion strategies on the structural, mechanical, and thermal properties of these bio-based composites was systematically evaluated. C...
Feb 26, 2026 - Bioproducts Discovery and Development Centre
Nath, Debarshi; Menossi, Matias; Pesaranhajiabbas, Ehsan; Mohanty, Amar K.; Misra, Manjusri, 2026, "Development of talc-filled PBAT/PLA and PBSA/PBAT binary blend films: Effects of multilayer architecture and uniaxial orientation on performance", https://doi.org/10.5683/SP3/MCDSXY, Borealis, V1, UNF:6:Z57W2a5fUVUq+TYp4bFJnQ== [fileUNF]
This study developed PBAT-based biodegradable blend films using PLA or PBSA in mono- and tri-layer configurations with talc reinforcement, processed via blown film extrusion and further enhanced through uniaxial stretching. The films were systematically evaluated for mechanical, barrier, optical, and structural performance to benchmark against comm...
Feb 20, 2026 - School of Computer Science
Kemp, Jason; Kremer, Stefan C.; Ali, Genevieve, 2026, "Grand River watershed streamflow", https://doi.org/10.5683/SP3/CH3T6Z, Borealis, V2, UNF:6:Q0VRcgwqcPOiqiQTjxakkw== [fileUNF]
This is a set of 17 hydrometeorological datasets (built from a subset of 52 unique time series) for benchmarking streamflow and/or flood prediction methods. The datasets each contain hourly time series of weather and river variables for locations within the Grand River watershed in Ontario, Canada.
Feb 19, 2026 - Department of Population Medicine
Guardado Servellon, Fernando; Spence, Kelsey; Renaud, David; DeVries, Trevor; Brunt, Michael; Couto Serrenho, Rita, 2026, "Supplemental Data: Factors influencing producers’ implementation of internal teat sealant use and selective dry cow therapy on automated milking systems farms in Ontario - a focus group study", https://doi.org/10.5683/SP3/B4EQ14, Borealis, V1, UNF:6:R4R7ZZgFuFH8Wq3m/nEUYQ== [fileUNF]
We recruited 21 Ontario AMS producers (16 using and 5 not using ITS) through veterinary clinics and AMS dealers and conducted four focus groups (median group size: 5 producers, ranging from 4 to 6) between December 2024 and January 2025. Focus groups were transcribed verbatim and analyzed using reflexive thematic analysis. Four main themes were gen...
Feb 19, 2026 - Department of Mechanical Engineering
Imanloozadeh, Amir; Lubitz, William David, 2026, "Experimental dataset of an earth-air heat exchanger integrated solar greenhouse in Ottawa, Canada", https://doi.org/10.5683/SP3/IWEYNK, Borealis, V1, UNF:6:6VBumREWfrAV/lom9Snv5A== [fileUNF]
The presented dataset contains experimentally recorded measurements from a solar greenhouse located in Ottawa, Ontario, Canada, incorporating an Earth-Air Heat Exchanger (EAHE) system during summer operation. The dataset includes: On-site outdoor weather data collected using a dedicated weather station installed at the study location; indoor greenh...
Feb 12, 2026 - Bioproducts Discovery and Development Centre
Tripathi, Neelima; Vivekanandhan, Singaravelu; Blackman, Zavier; Mohanty, Amar K.; Misra, Manjusri, 2026, "Turning diverse biomass into sustainable biocarbon: A strategic comparison of physicochemical properties", https://doi.org/10.5683/SP3/LWH2AE, Borealis, V1, UNF:6:fKzOz5LzKsqpgHDwqC5uog== [fileUNF]
This dataset contains raw and processed physicochemical characterization data for biocarbons produced from four distinct biomass waste feedstocks: coconut shell (CS), switchgrass (SG), rice husk (RH), and shrimp shell (SS). Biocarbons were produced by pyrolysis and characterized to establish feedstock–property relationships. The data support compar...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.