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The Dalhousie University Dataverse is a research data repository for our faculty, students, and staff. Files are held in a secure environment on Canadian servers. Researchers can choose to make content available to the public, to specific individuals, or to keep it locked.

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1 to 10 of 140 Results
May 13, 2024 - Kate Sherren Dataverse
Sherren, Kate; McWherter, Brooke; Howard, Samantha C, 2024, "Understanding apartment resident perceptions of coastal landscapes and adaptation options around the Minas Basin, Nova Scotia, 2023.", https://doi.org/10.5683/SP3/DKLFLR, Borealis, V2, UNF:6:hSfGJNLJGQLK4zp0xNvHRQ== [fileUNF]
These data were collected through an online survey hosted on Qualtrics software. The survey was designed to understand perceptions and use of coastal landscapes, specifically dykes, dykelands, and tidal wetlands, along with perceptions of coastal adaptation options, among residen...
May 3, 2024 - BantingFellowship
Benz, Susanne, 2024, "Global groundwater warming due to climate change", https://doi.org/10.5683/SP3/GE4VEQ, Borealis, V1, UNF:6:t6aF1rXOVL3kM0D26gpbSA== [fileUNF]
These are all data and codes necessary to repeat the analysis shown in Benz et al. 2024
Apr 9, 2024 - Coastal Hydrology Lab
Tackley, Hayden; Lake, Craig; Kurylyk, Barret, 2024, "Truro dikelands field data and model input files", https://doi.org/10.5683/SP3/5FHB1Z, Borealis, V1, UNF:6:4UZ9MQebWHxpB5YsWluPeg== [fileUNF]
The files in this dataset relate to the field data and model input files presented in the Science of the Total Environment paper Tackley et al. (2024). Model processed using ModelMuse V5 software (.gpt file). Model source code files uploaded as .f files in dataset. Boundary condi...
Apr 9, 2024 - Coastal Hydrology Lab
Kurylyk, BL; Lin, Y-F; Solórzano-Rivas, C; Werner, AD, 2024, "Mathematica and Python code and examples for freshwater lenses beneath circular, pumped island aquifers", https://doi.org/10.5683/SP3/VDMMEH, Borealis, V2, UNF:6:8x0etCxIyimO/qkvFX9ryA== [fileUNF]
The files in this dataset relate to the equations, computations, model files, and results presented in the Advances in Water Resources paper by Kurylyk et al. 2024. See 'Read me' file for more details.
Apr 8, 2024 - Environment and Climate Change Canada
Oliver, Allie; Jamieson, Rob; Smith, Kathryn; Cantelon, Julia; Kurylyk, Barret, 2024, "Basin Head springs field data", https://doi.org/10.5683/SP3/WMGKLN, Borealis, V1, UNF:6:PpmOSjZ+6D5XjBijMfVKiA== [fileUNF]
The files in this dataset relate to the field data presented in the Hydrologic Processes Scientific Briefing manuscript Oliver et al., 2024. See the 'Read me' file for more details.
Apr 1, 2024 - Coastal Hydrology Lab
Cantelon, Julia; LeRoux, Nicole; Mulligan, Ryan; Swatridge, Laura; Kurylyk, Barret, 2024, "Hog Island morphologic and groundwater data", https://doi.org/10.5683/SP3/KE5YRM, Borealis, V1, UNF:6:JdY8N/Jva1VKCvub1rSHsA== [fileUNF]
The files in this dataset relate to the field data presented in the Journal of Geophysical Research: Earth's Surface paper Cantelon et al., 2024. See the 'Read me' files for more details.
Mar 19, 2024 - Melissa Rothfus Dataverse
Rothfus, Melissa; MacLeod, Lachlan; Gillis, Louise; MacPherson, Erin, 2024, "Open Scholarship Research Data", https://doi.org/10.5683/SP3/VWDVSB, Borealis, V1, UNF:6:+CMsA0NjXYpr8mEsj4YB3A== [fileUNF]
Data to support the research article: Researcher Perspectives on Obstacles and Facilitators of Open Scholarship at a Canadian University
Melissa Rothfus Dataverse(Dalhousie University)
Mar 19, 2024
Mar 12, 2024 - Ruth Musgrave Dataverse
Musgrave, Ruth, 2024, "Data to support: The generation of superinertial coastal trapped waves by scattering at the coast", https://doi.org/10.5683/SP3/8CFSC1, Borealis, V1
Parameter files, Matlab and Fortran codes to set up and run simulations in support of manuscript.
Feb 12, 2024 - Phillmore Lab Dataverse
Parks, Broderick MB; McVea, Kyle; Phillmore, Leslie S, 2024, "Vernal growth of vocal control nucleus Area X, but not HVC, precedes gonadal recrudescence in wild black-capped chickadees (Poecile atricapillus)", https://doi.org/10.5683/SP3/QBMB5S, Borealis, V1, UNF:6:8N30qnXwgbDKUcfQkS8whw== [fileUNF]
Data associated with Parks et al. (2024), J Neuroendocrinol
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