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KarisAllen, Jason 2022-08-23 The files in this dataset relate to the field data presented in the Hydrology and Earth System Sciences (KarisAllen et al., 2022, HESS). See the 'Read me' file for more details.
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Graham, Janice 2022-12-13 The files in this dataset pertain to the LEB Project. Funding: CIHR COVID-19 Legal Frameworks for Vaccination Research Rapid Response #173056. REB Approval: IWK Health Centre Research Ethics Board #1025970.
Dalhousie University Dataverse Logo
KarisAllen, Jason 2022-08-12 The files in this dataset relate to the numerical modeling presented in the Hydrology and Earth System Sciences (KarisAllen et al., 2022, HESS). See the 'Read me' file for more details.
Dalhousie University Dataverse Logo
KarisAllen, Jason 2022-08-12 The files in this dataset relate to the numerical modeling presented in the Hydrology and Earth System Sciences (KarisAllen et al., 2022, HESS). See the 'Read me' file for more details.
Dalhousie University Dataverse Logo
Kampen, Andrea; Pearson, Maggie; Smit, Michael 2020-03-23 Note: this dataset is replication data for the paper: Kampen, A., Pearson, M., & Smit, M. (2016). Digital Tools and Techniques in Scholarship and Pedagogy in the Social Sciences and Humanities. Technical Report, Dalhousie University. This data is about the adoption, diffusion and use of digital tools and techniques within the social sciences and humanities research communities (Kampen, Pearson & Smit, 2016). The dataset includes a weighted random sampling of 1001 articles (500 from the Social Sciences subject area; 501 from the Arts and Humanities subject area) from original research articles published in academic journals in 2014. These articles were assessed individually for the presence, and nature, of digital tools and techniques used in the research process, particularly collection, analysis, and/or visualization. Each article was also assessed to determine if it belonged to one of the three focus areas identified by the funding agency: Diversity/Inequality/Differences, Environmental studies, and Resilient and innovative societies. Tabular data was recorded based on these assessments; a complete key is included in the Readme file. The tabular data and the bibliography for the sampled articles are included. Data consists of: 1) One tabular data file (CSV) containing, for each citation: - Numeric citation identifier - Metadata (e.g., title, subject areas, granting information) - Digital tools analysis (e.g., Type of digital tool used, name of digital tool, source of digital tool) - Research notes 2) One BibTeX file containing citations for the 1001 articles analyzed (citation identifier matched to CSV id) 3) One PDF file containing the output of the BibTeX file 4) One Readme file containing data description, cleaning techniques, and known remaining issues
Dalhousie University Dataverse Logo
KarisAllen, Jason 2022-08-12 The files in this dataset relate to the numerical modeling presented in the Hydrology and Earth System Sciences (KarisAllen et al., 2022, HESS). See the 'Read me' file for more details.
Dalhousie University Dataverse Logo
KarisAllen, Jason 2022-08-12 The files in this dataset relate to the numerical modeling presented in the Hydrology and Earth System Sciences (KarisAllen et al., 2022, HESS). See the 'Read me' file for more details.
Dalhousie University Dataverse Logo
Filloramo, Gina; Curtis, Bruce; Blanche, Emma; Archibald, John 2021-05-07 Phaeodactylum tricornutum and Thalassiosira pseudonana long-read derived genome assemblies associated with the peer-reviewed article, "Re-examination of two diatom reference genomes using long-read sequencing", published in BMC Genomics.

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