About Dataverse

UBC Dataverse Collection is a free 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. All files are held in a secure environment on Canadian servers. Researchers are encouraged to make their data available publicly, but can choose to restrict access to their data if they wish.

For information on using the UBC Dataverse to share and preserve your research data, please consult the Dataverse guides on the Library's Research Data Management site. It is the easiest to get started with our one-page Quick Guide to Depositing Data. To determine whether Dataverse is the correct repository for your data, please read the guidance in our Where Should I Deposit My Data - Quick Guide.

The UBC Dataverse Collection is a service of the UBC Library Research Commons. Please contact us if you have questions or need assistance.

Featured Dataverses

In order to use this feature you must have at least one published 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 1,359 Results
May 17, 2024 - UBC Research Data Collection
Schenk, Siobhan; Supratya, Varoon P.; Martone, Patrick T.; Parfrey, Laura W., 2022, "Long-term monitoring of macroalgal biodiversity in Stanley Park, Vancouver, British Columbia", https://doi.org/10.5683/SP3/IKGB6E, Borealis, V17, UNF:6:a10RFuJWAq0fbxAXwbR+4g== [fileUNF]
The sampling was started by Varoon P. Supratya and Siobhan Schenk, PhD candidates in the labs of Patrick T. Martone and Laura Wegener Parfrey, respectively, both at the University of British Columbia. Both Varoon and Siobhan study macroalgae for their degrees. Macroalgae are mari...
May 15, 2024 - Schulte Lab
Blanchard, Tessa; Earhart, Madison; Shatsky, Ariel; Schulte, Patricia, 2024, "Data for the manuscript "Intraspecific variation in thermal performance curves for early development in Fundulus heteroclitus "", https://doi.org/10.5683/SP3/FAKO55, Borealis, V1, UNF:6:vBHE3RpdjL/h+qn/yWQSSg== [fileUNF]
Data associated with the manuscript - Intraspecific variation in thermal performance curves for early development in Fundulus heteroclitus. Manuscript DOI: 10.1002/JEZ.2827
May 14, 2024 - UBC Research Data Collection
Azadian, Amin; Protopopova, Alexandra, 2024, "Replication Data for: Fundamental Learning Differences Across Five Dog Breed Clades: Breed-specific Predispositions, Individual Experiences, or a Fusion of Both?", https://doi.org/10.5683/SP3/WSKH1N, Borealis, V1, UNF:6:aKMHCnioJ3j6iSa70jdEPg== [fileUNF]
Learning is crucial for shaping domestic dogs’ behaviour through life experiences, yet not all breeds exhibit the same learning aptitude towards a particular task. The current study's objective was to identify differences in fundamental learning features across and within five br...
May 13, 2024 - UBC Dryad2Dataverse
Kruger, Avery; Shankar, Vaishaal; Davies, Jonathan, 2024, "Inferring the evolutionary model of community-structuring traits with convolutional kitchen sinks: Code and data", https://doi.org/10.5683/SP3/R2OGLC, Borealis, V2
Abstract When communities are assembled through processes such as filtering or limiting similarity acting on phylogenetically conserved traits, the evolutionary signature of those traits may be reflected in patterns of community membership. We show how the model of trait evolutio...
May 13, 2024 - UBC Dryad2Dataverse
Zhou, Xuping; Dong, Shanshan; Sheng, Wei; Zuo, Qin; Zhang, Li; Ma, Wen-Zhang; Golinski, G. Karen; Vanderpoorten, Alain; Goffinet, Bernard; Liu, Yang; Peng, Tao, 2024, "Mitochondrial phylogenomics of liverworts", https://doi.org/10.5683/SP3/N8YBOO, Borealis, V1
Abstract Premise: Liverworts, with approximately 7,300 species worldwide, exhibit remarkable morphological diversity, in terms of growth form, ontogeny and architecture. Based on phylogenetic inferences drawn from DNA data, including recent genomic-scale data, the relationships a...
May 13, 2024 - UBC Dryad2Dataverse
Tseng, Michelle, 2024, "Data for: Sun, Ogushi, Tseng -Lepidoptera species richness and community composition in urban street trees", https://doi.org/10.5683/SP3/UVSO6Q, Borealis, V1
Abstract The triple threats of climate change, habitat loss, and environmental pollution have stimulated discussion on how urban areas can be modified to both mitigate heat increases and provide habitat for wildlife such as insects. The strategy of using trees to reduce temperatu...
May 13, 2024 - Master of Geomatics for Environmental Management
Markou, Dimitrios, 2024, "Using LiDAR to characterize urban forest structure and composition and locate hotspots based on derived individual tree attributes", https://doi.org/10.5683/SP3/YMTRV0, Borealis, V1, UNF:6:ZAhqBodr3X07rp+LmFKvvQ== [fileUNF]
This study provides urban forest tree inventories for the University Endowment Lands, Pacific Spirit Regional Park, Musqueam First Nation, and Southlands of British Columbia for 2015 and 2021. It describes urban forest structure and composition based on LiDAR-derived urban forest...
May 10, 2024 - Smart Triage - Implementation Materials
Institute for Global Health, 2023, "Digital adaptation kit for Smart Triage: operational requirements for implementing Smart Triage recommendations in digital systems", https://doi.org/10.5683/SP3/8CMJEF, Borealis, V2
Objective(s): To ensure countries can effectively benefit from digital health investments, digital adaptation kits (DAKs) are designed to facilitate the accurate reflection of clinical, public health and data use guidelines within the digital systems countries are adopting. DAKs...
May 8, 2024 - Master of Geomatics for Environmental Management
Li, Yatian, 2024, "Mangrove mapping in Saloum Delta, Senegal using Google Earth Engine Mangrove Mapping Methodology (GEEMMM)", https://doi.org/10.5683/SP3/7R1LL0, Borealis, V1
Mangroves provide crucial biodiversity values to the ecosystem and the carbon dioxide sequestration capacity of mangrove forests helps mitigate global climate change. Given the diverse ecosystem and economic values, mapping how mangroves change over time is important for mangrove...
May 2, 2024 - Master of Geomatics for Environmental Management
Grist, Axel, 2024, "Detection and Monitoring of Wildfire-Induced Earthflows: InSAR Time Series Analysis in the Deadman River Watershed, British Columbia", https://doi.org/10.5683/SP3/YUFB8F, Borealis, V2
This research investigates the efficiency of Interferometric Synthetic Aperture Radar (InSAR) in identifying and tracking changes in earthflow activity and movement post wildfire. The study was conducted in British Columbia's Deadman River Watershed, which was severely impacted b...
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.