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LibQUAL+ 2010 Survey
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N/A — 2013-05-15 LibQUAL+ is a survey developed by the Association of Research Libraries (ARL). Its purpose is to provide libraries with a standardized, effective method to measure the quality of library services based on the perceptions of faculty, students and staff.
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LibQUAL+ 2007 Survey
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N/A — 2013-05-15 LibQUAL+ is a survey developed by the Association of Research Libraries (ARL). Its purpose is to provide libraries with a standardized, effective method to measure the quality of library services based on the perceptions of faculty, students and staff.
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LibQUAL+ 2006 Survey
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N/A — 2013-05-15 LibQUAL+ is a survey developed by the Association of Research Libraries (ARL). Its purpose is to provide libraries with a standardized, effective method to measure the quality of library services based on the perceptions of faculty, students and staff.
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Replication Data for: ELA Degree Day Data
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Kidd, Karen; Graves, Stephanie; McKee, Graydon; Podemski, Cheryl — 2020-05-12 Surface temperature data and cumulative degree days for Lakes 114, 224, 239, 260, 373, 442
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Fractionalization of research impact reveals global trends in university collaboration - DATA
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Demaine, Jeffrey — 2021-07-26 This dataset is derived from the CWTS Leiden Ranking for 2020 [https://www.leidenranking.com/]. Contains ratios of fractionally-counted publications to whole-counted publications in 6 broad research fields for ten periods (2006-2009 to 2015-2018) from 912 universities. Accompanying these ratios are four tables containing the results of linear regressions (by university and by field) across the fractionalization ratios at different levels of citation impact percentile.
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Effects of Climate Change on West Nile Virus in Ontario
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Meghan Craughwell; Michele Lefebvre; Jeneva Smith; Liz Balint; Brian Yu — 2017-12-08 This research project explored the impacts of changing temperature and precipitation due to climate change on the biosphere, specifically infectious disease. GIS maps were created to make predictions about the future of West Nile virus in Ontario. A literature review was conducted to gather current information to make more accurate predictions. This dataset contains rough podcast audio files, podcast script, final podcast, research notebook detailing the research gathered over 10 weeks, spreadsheet of West Nile virus data from Ontario, worldwide temperature data from GIS-32-R climate model, GIS maps, presentation slides, and extended abstract.
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Replication Data for: Trends in Authorship by Women at Canadian Universities 2006-2019
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Demaine, Jeffrey — 2021-07-19 This file is the accompanying dataset for the publication: Demaine, Jeffrey (2021). Trends in Authorship by Women at Canadian Universities 2006-2019. Canadian Journal of Information and Library Science. Please cite that publication and this dataset in subsequent research. The worksheet "Leiden 2021 data - Canada only" is a subset of the full Leiden 2021 dataset that is freely available at https://www.leidenranking.com/. Other worksheets in this file were created as a result of analyzing the "Leiden 2021 data - Canada only" worksheet. This dataset, just as the CWTS Leiden dataset on which it is based, is made available under a Creative Commons Attribution 4.0 International license.
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QT-Prolonging Medications and Major Adverse Cardiac Events (QTP-MACE) - Supplementary Tables for Protocol
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Holbrook, Anne Marie; Garcia, Michael — 2021-10-12 Table 1 lists all of the medications on the ‘Known Risk’ subset of the CredibleMeds list of medications that can prolong the QT-interval. These are classified according to ATC (by WHO) coding therapeutic class and by name. Not all of these medications are available on the Canadian market. This list was current as of March 2021. Table 2 is a list of all main variables required for the QTP-MAC study, which part of Dovetale-Epic they should be available from, a description of the variable, with attached codes and coding system, where known. This list is not finalized and a draft as of September 2021.
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Soil organic carbon stock and uncertainties, 30cm and 1m depth, at 250m spatial resolution in Canada, version 3.0
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Gonsamo, Alemu; Sothe, Camile; Snider, James; Finkelstein, Sarah; Arabian, Joyce; Kurz, Werner — 2022-02-17 This project aimed to produce the first wall-to-wall estimate of C stocks in plants and soils of Canada at 250 m spatial resolution. This dataset contains the map with the soil organic carbon (SOC) in kg/m² for entire Canada in 30cm and 1m depth, and the uncertainty in SOC predictions. The SOC stock map was produced using 39,323 ground samples of soil organic carbon concentration (g/kg) distributed in 6,533 sites, 11,068 ground samples of bulk density (kg/dm3) distributed in 2,157 sites, long-term climate data, remote sensing observations and a machine learning model. The soil samples containing the x and y coordinates, depth and SOC (in g/kg) information were overlaid with the stacked covariates (soil forming factors) to compose the regression matrix. Random forest models were trained using a recursive feature elimination scheme and a cross-validation assessment. The best model was used for spatial prediction of SOC over Canada in intermediate depths between 0 and 1 m (0cm, 5cm, 15cm, 30cm, 60cm, 100cm). Afterwards, the SOC stock of each depth increment was computed using SOC concentration and bulk density maps, and corrected with coarse fragment information. The depth increments have been added to compose the 0-30cm and 0-1m depth intervals multiplied by rooting depths fraction to discount shallow soils. Water and ice/snow areas were removed using a mask based on the Land Cover of Canada map. Ground ice in permafrost areas was discounted according to ice abundance using the ground ice map of Canada. The SOC stock uncertainty map is the difference between the first and third quantiles of a quantile regression forest approach of SOC concentration and bulk density prediction (90% confidence interval).
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Tesla Model 3 2170 Li-ion Cell Dataset and Battery SOC Estimation Blind Modeling Tool
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Phillip J. Kollmeyer; Fauzia Khanum; Mina Naguib; Ali Emadi — 2023-01-13 For this dataset tests were performed on cylindrical 2170 form factor Li-ion battery cells from a Tesla Model 3 electric vehicle. The tests include characterization tests (constant current discharges, HPPC, etc) and electric vehicle drive cycles. A portion of the data is provided openly for use in developing state of charge (SOC) estimation algorithms, and a portion is kept hidden and used for blinded testing of algorithms. Algorithms can be submitted for testing via the portal described in the dataset. The blind modeling tool concept is described in detail in the publication "A Blind Modeling Tool for Standardized Evaluation of Battery State of Charge Estimation Algorithms" and in the included presentation "Tesla 2170 Cell Data and SOC Estimation Blind Modeling Tool – Users Guide".
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EIDM Competence Measure
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Belita, Emily — 2022-05-30 This dataset consists of data used to psychometrically test a new tool known as the Evidence-Informed Decision-Making (EIDM) Competence Measure for public health nursing. The dataset consists of participant demographic variables and completed tool items. Data were used to assess acceptability, validity, and reliability of the EIDM Competence Measure.
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Replication Data for: Synthetic Indoor Ecosystem
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Jurek, Kolasa — 2023-03-31 The proof of concept project tested whether it is possible to construct a stable and productive modular synthetic ecosystem for indoor or limited outdoor spaces. The design relied on four modules: green waste digester, algal culture, zooplankton culture, and fish. We measured several biotic and abiotic variables to assess the stability and productivity of the components. We include the following temporal series data: Chlorophyll a, Daphnia population, dissolved oxygen, duckweed density, ecosystem productivity, pH, and vegetable waste additions.
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Group 8 Data
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Graham, Katie; Sonya Martin; Helena Koniar; Jack Stewart — 2017-12-08 This dataverse includes the research outline, podcast, final documentation, and presentation for Group 8 of the 2017 3A12 climate change project. This project focused on analyzing the possibility of a runaway greenhouse effect on Earth based on models developed from historic atmospheric carbon dioxide levels.
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Psychology and Climate Change
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Chou, Sommer; Coles, Victoria; Sharpe, Isobel; Wynn, Gabriella — 2017-12-08 This dataset contains information generated from a research project on climate change and psychology. This project is a part of the requirements for the climate change component of the third year Integrated Science course at McMaster University. The project was completed in order to understand the relationship between climate change and psychology, including the impacts of climate change on mental health, and the social psychology principles behind the prevalence of climate change inaction among today's youth. General psychological concepts were covered in a podcast, meant for a lay audience. This podcast focused on the connection between climate change and mental health. As part of an extended abstract, public opinion poll data regarding climate change inaction in youth was analyzed, and results were discussed as part of a literature review. This dataset contains all documents and data pertaining to the project, including: research notebook, podcast audio files (both raw and edited), graphing of the poll data, extended abstract, and presentation.
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Hormonal Contraceptive Review Supplementary Data
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Williams, Jennifer — 2020-07-28 These documents are supplementary tables for a review entitled: "Influence of hormonal contraceptives on peripheral vascular function and structure in premenopausal females: a review."

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