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Federated Research Data Repository / dépôt fédéré de données de recherche
Cao, Zhihao; Venditti, Jeremy G. Support data for M.Sc Thesis: Scour pool incision in bedrock canyons. A flume experiment was conducted to investigate the effect of lateral constrictions on the initiation and evolution of the scour pool morphology in bedrock canyons; as well as how flow constriction affect the patterns of flow, erosion, and sediment deposition in the canyon. Raw data and calculations used to generate the figures and tables. This dataset was originally deposited in the Simon Fraser University institutional repository. https://creativecommons.org/publicdomain/zero/1.0/
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Winters, Meghan; Zanotto, Moreno; Butler, Gregory Supplement 1 to The Canadian Bikeway Comfort and Safety (Can-BICS) Classification System: A Common Naming Convention for Cycling Infrastructure manuscript. Can-Supplement 1 (BICS_Supplement_1_10JUN2019.xlsx) lists the cycling facility names extracted from open datasets and bicycle maps from 44 municipalities across Canada. Can-BICS cycling nomenclature is applied to each of the records. Codebook for the data is given in the ReadMe.txt file. The zipped file (Can-BICS_Supplement_1_Datasets_10JUN2019.zip) contains the open datasets and cycling maps we used to create Supplement 1. Content type is GIS data and source of data is Canadian municipal open data catalogues and websites. Software used was QGIS and ArcGIS. This dataset was originally deposited in the Simon Fraser University institutional repository. https://creativecommons.org/licenses/by/4.0/
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Gareis, Jolie A.L; Lesack, Lance F.W. This dataset was collected from the Peel and Arctic Red Rivers in the western Canadian Arctic as part of an International Polar Year project. The Peel River was sampled 57 times between May 2007 and September 2010, while the Arctic Red River was sampled 32 times between May 2007 and August 2008 (with one additional sample in June 2010). Each water sample was analyzed for up to 22 water quality parameters/constituents, including water temperature, specific conductivity, pH, chlorophyll-a, total suspended sediments, particulate nutrients (C, N, P), soluble reactive silica, major ions (Ca, Mg, K, Na, Cl, SO4), dissolved C (inorganic and organic), and dissolved nutrients (various N and P fractions). These data are associated with the article "Water quality parameters and constituent concentrations measured in the Peel and Arctic Red Rivers, 2007-2010", published in the journal Arctic Science by Gareis and Lesack (2022). https://creativecommons.org/licenses/by/4.0/
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Gitto, Alessandro B.; Kostaschuk, Ray; Venditti, Jeremy G.; Church, Michael Continuous, hour long, suspended sediment concentration data recorded at specific points in a flow profile in the Fraser River at Mission, BC. Data recorded in 2013. This dataset was originally deposited in the Simon Fraser University institutional repository. https://creativecommons.org/publicdomain/zero/1.0/
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Mazurkiewicz, David; Stanley, Thomas; Green, David; Thomsen, Sarah Data used in Thomsen Sarah K., Mazurkiewicz David M., Stanley Thomas R. and Green David J. 2018 El Niño/Southern Oscillation-driven rainfall pulse amplifies predation by owls on seabirds via apparent competition with mice. Proc. R. Soc. B.2852018116120181161 http://doi.org/10.1098/rspb.2018.1161. This dataset was originally deposited in the Simon Fraser University institutional repository. https://creativecommons.org/licenses/by-nc-nd/4.0/
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Federated Research Data Repository / dépôt fédéré de données de recherche
Faure, Xavier; Saket, Ali; Ordonez, Martin; Cermak, Martin; Bahrami, Majid The dataset accompanying the publication "M. Cermak, X. Faure, A. Saket, M. Ordonez, and M. Bahrami, 'Natural graphite sheet heat sinks with embedded heat pipes', IEEE Access." https://creativecommons.org/licenses/by/4.0/
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Allen, Diana M.; Notte, Chelsea This MS Access database contains details on various Acts and Regulations for several jurisdictions in North America that pertain to wastewater produced during hydraulic fracturing and shale gas production. The database was produced as part of Chapter 3 in Goss et al. (2015) Unconventional Wastewater Management: A Comparative Review and Analysis of Hydraulic Fracturing Wastewater Management Practices Across Four North American Basins. (http://www.cwn-rce.ca/reports/report/unconventional-wastewater-management-a-comparative-review-and-analysis-of-hydraulic-fracturing-wastewater-management-practices-across-four-north-american-basins). This dataset was originally deposited in the Simon Fraser University institutional repository. https://creativecommons.org/licenses/by/4.0/
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Riecke, Bernhard E.; Stepanova, Ekaterina; Desnoyers-Stewart, John; Pasquier, Philippe This data set contains data in relation to an exhibition of immersive installation JeL. One part of the data is a survey of 12 participants who have interacted with JeL and agreed to complete a post experience questionnaire (Interactive_Exhibit_Survey.csv). The other part of the data contains the breathing data recordings from pairs of participants interacting with the installation throughout the night (JeL_2019-06-25_19-16-47.csv). This data was collected on June 25th, 2019 at Centre for Digital Media during the Fun Palace Carnival of Mixed Realities. Content type is survey data and respiration data and software used was Survey Monkey. Source of data was attendees of Fun Palace Carnival of Mixed Realities. Confidentiality declaration: all data is de-identified. This dataset was originally deposited in the Simon Fraser University institutional repository. https://creativecommons.org/licenses/by/4.0/
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Hall, Peter This collection contains anonymized survey data collected in three waves from employees of seven downtown Vancouver hotel workers. The questionnaire collected data on commute behaviour, including mode choice for the most recent commute to and from work, employment, quality of life and demographics. As part of an experimental study, differential transit subsidies were offered to workers at some hotels between the survey waves. The three survey waves were conducted in March 2018 (n=774), September 2018 (n=905) and March 2019 (n=902). The collections consists of 3 SPSS-format Data Files, 3 excel-format Variable Keys and 3 pdf-format Questionnaires. In order to protect the anonymity of respondents, some variables from the survey responses are not included. Dataset inventory: Employer Transit Subsidy Study Wave 1 Data (ETSS_surveydata_wave1_RADAR.sav), Employer Transit Subsidy Study Wave 1 Questionnaire (ETSS_questionnaire_Wave_1.pdf), Employer Transit Subsidy Study Wave 1 Variable Guide (ETSS_Wave_1_Variable_Key.xlsx), Employer Transit Subsidy Study Wave 2 Data (ETSS_surveydata_wave2_RADAR.sav), Employer Transit Subsidy Study Wave 2 Questionnaire (ETSS_questionnaire_Wave_2.pdf), Employer Transit Subsidy Study Wave 2 Variable Guide (ETSS_Wave_2_Variable_Key.xlsx), Employer Transit Subsidy Study Wave 3 Data (ETSS_surveydata_wave3_RADAR.sav), and Employer Transit Subsidy Study Wave 3 Questionnaire (ETSS_questionnaire_Wave_3.pdf). The researcher who created this dataset would be pleased to hear from you and how you have used this data (pvhall@sfu.ca). Confidentiality declaration: This study was approved by SFU Research Ethics Board (study number 2017s0591). The individual consent form signed by all respondents included the following statement: "Your responses will be entered into a database which will be stored on a secure server at SFU and on the researcher's SFU computer during data collection and analysis. At the end of the study the information you provided, which cannot be used to identify you, will become part of an open-access dataset that can be shared among researchers, policy actors, and other stakeholders who may also be interested in studying travel patterns." This dataset was originally deposited in the Simon Fraser University institutional repository. https://creativecommons.org/licenses/by-nc/4.0/
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Federated Research Data Repository / dépôt fédéré de données de recherche
Choi, Hyomin; Hosseini, Elahe; Ranjbar Alvar, Saeed; Cohen, Robert; Bajić, Ivan SFU-HW-Objects-v1 is a dataset of object labels for a set of raw video sequences. The dataset can be useful for the cases where both object detection accuracy and video coding efficiency need to be evaluated on the same dataset.This dataset was originally deposited in the Simon Fraser University institutional repository. https://creativecommons.org/licenses/by/4.0/
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Khater, Ismail M. Caveolae are plasma membrane invaginations whose formation requires caveolin-1 (Cav1), the adaptor protein polymerase I, and the transcript release factor (PTRF or CAVIN1). Caveolae have an important role in cell functioning, signaling, and disease. In the absence of CAVIN1/PTRF, Cav1 forms non-caveolar membrane domains called scaffolds. In this work, we train machine learning models to automatically distinguish between caveolae and scaffolds from single molecule localization microscopy (SMLM) data. We apply machine and deep learning algorithms to discriminate biological structures from SMLM data. Our work is the first that is leveraging machine and deep learning approaches to automatically identifying biological structures from SMLM data. In particular, we develop and compare three binary classification methods to identify whether or not a given 3D cluster of Cav1 proteins is a caveolae. The first uses a random forest classifier applied to 28 hand-picked features, the second uses a convolutional neural net (CNN) applied to a projection of the point clouds onto three planes, and the third uses a PointNet model, a recent development that can directly take point clouds as its input. We validate our methods on a dataset of super-resolution microscopy images of PC3 prostate cancer cells labeled for Cav1. Specifically, we have images from two cell populations: 10 PC3 and 10 CAVIN1/PTRF-transfected PC3 cells (PC3-PTRF cells) that form caveolae. We obtained a balanced set of 1714 different cellular structures. Our results show that both the random forest on hand selected features and the deep learning approach achieve high accuracy in distinguishing the intrinsic features of the caveolae and non-caveolae biological structures. More specifically, both random forest and deep CNN classifiers achieve classification accuracy reaching 94% on our test set, while the PointNet model only reached 83% accuracy. We also discuss the pros and cons of the different approaches. Additional information about individual files is in the accompanying CSV file (item_metadata.csv). This dataset was originally deposited in the Simon Fraser University institutional repository.
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Federated Research Data Repository / dépôt fédéré de données de recherche
Poe, Rollin; O'Camb, Justin W.; Woodruff, Cal; Harrison, Scott; Chuong, Christine; Klassen, Amanda D.; Zhang, Ruilin; Joseph, Rohan B.; Blair, Mark R.; Barrett, Robin C. A.; Dolguikh, Katerina This dataset contains a 4-category learning task with 3 separate conditions: virtual reality (VR), joystick manipulation (3D), and 2D with eye tracking (ET). 3 binary-valued stimuli were presented on faces of a cube. Of the 3 features, 2 were relevant to the cube's category, while 1 was not. The data from the ET condition were pulled from a previous study (the 100% feedback condition of McColeman, Ancell, & Blair, 2011. See README for full citation).
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Federated Research Data Repository / dépôt fédéré de données de recherche
Wong, Sandra This dataset includes library profile data and codebook for a survey of web-scale discovery service adoption in Canadian post-secondary academic libraries. This dataset was originally deposited in the Simon Fraser University institutional repository. https://creativecommons.org/licenses/by/4.0/
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Pasquier, Philippe; Prpa, Mirjana; Tatar, Kıvanç; Riecke, Bernhard E. We study Pulse Breath Water, an immersive virtual environment (VE) with affect estimation in sound. We employ embodied interaction between a user and the system through the user's breathing frequencies mapped to the system's behaviour. In this study we investigate how two different mappings (metaphoric, and "reverse") of embodied interaction design might enhance the affective properties of the presented system. We build on previous work in embodied cognition, embodied interaction, and affect estimation in sound by examining the impact of affective audiovisuals and two kinds of interaction mapping on the user's engagement, affective states, and overall experience. The insights gained through questionnaires and semi-structured interviews are discussed in the context of participants' lived experience and the limitations of the system to be addressed in future work. Content type is respiratory sensor data synched with audio and format of files is .mubu (see MAX Sound Box Library by IRCAM). Software used was MAX 7 by Cycling74. Confidentiality declaration: The data is anonymous. This dataset was originally deposited in the Simon Fraser University institutional repository. https://creativecommons.org/licenses/by/4.0/
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Federated Research Data Repository / dépôt fédéré de données de recherche
Bradley, Ryan; Venditti, Jeremy G. This data set includes information needed to understand, evaluate, and build upon the manuscript "Mechanisms of Dune Growth and Decay in Rivers". The included bathymetric surveys show how dunes grow and decay through the 2012 flood in the Fraser river. Dunes grow as flood levels increase by amalgamating with smaller dunes once a flow threshold is passed. After amalgamation, changes to individual dunes are subtler and likely driven by changes to the flow field. As the flood recedes, smaller features appear on the backs of big dunes, reworking and flattening the bed. Small dunes on the backs of big dunes may be a signature of dune decay. Analysis of gauge data from Water Survey of Canada and the Canadian Hydrographic Survey, included here, show that growth by amalgamation and decay by secondary features occur at a common flow threshold. The results can be used to improve how we model floods and interpret fossilized dunes in the rock record on Earth and other planetary surfaces. https://creativecommons.org/licenses/by/4.0/
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Haiblen, Anna Macdonald The Quaternary geology of the Lac de Gras area was studied by 1:20 000 surficial geology mapping of 770 km2 and investigating the genesis of enigmatic landforms. Three distinct flow directions of the Laurentide Ice Sheet are recorded: flow to the southwest, then west, and finally to the west northwest. Digital mapping with high-resolution orthoimagery and a 30 cm lidar DEM provides insight into the deglacial history. ‘Subglacial meltwater corridors’ are prominent in the area. These are tracts that roughly parallel the final ice-flow direction, where basal till has been eroded, bedrock is exposed, and glaciofluvial sediments have been deposited; enigmatic, glaciofluvial mounds composed of sandy diamicton are common. These mounds have highly variable morphologies and occur in groups. They are typically 50 m wide and rise up to 15 m above the surrounding topography. Subglacial meltwater corridors and enigmatic mounds likely formed when supraglacial lakes drained catastrophically during deglaciation. This dataset was originally deposited in the Simon Fraser University institutional repository. https://creativecommons.org/licenses/by/4.0/
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Henninger, Ean; Brons, Adena; Riley, Chloe; Yin, Crystal A spreadsheet of data collected and coded from the Partnership Job Board (https://partnershipjobs.ca/) Data was coded according to the following categories: job id (generated by researchers); date posted; date closed; job title institution; title; level of position (librarian/assistant/technician/manager/administrator/archivist/other); physical location (city, province/territory); type of institution (academic/public/government/school/other); type of position (part time (<35 hours)/full time (35+ hours)); status of position (0-10 hours/week, 11-20 hours/week, 21-34 hours/week, 35+ hours/week, variable, not specified); type of position (regular/auxiliary or on-call); status of of position (temporary/ongoing); duration of position (Rounded to the nearest full month for durations expressed in weeks or specific dates, calculated based on days.); preferred/required education (Positions that explicitly mentioned recent graduates, and positions that listed years or months of experience as 'preferred' as opposed to required were coded as 0 years since there was explicitly no lower bound); minimum of experience; other related notes: This dataset was originally deposited in the Simon Fraser University institutional repository. https://creativecommons.org/licenses/by/4.0/
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Federated Research Data Repository / dépôt fédéré de données de recherche
Connors, Katrina; Connors, Brendan; Freshwater, Cameron; Frid, Alejandro; Halverson, Jessica; Moore, Jonathan W.; Price, Michael H.H.; Reynolds, John D.; Walsh, Jessica C.; Hertz, Eric; Kehoe, Laura; Martin, Tara G.; Bradford, Michael J. These data, containing the estimated benefits of each conservation strategy for each Conservation Unit group (i.e. the probability that the CUs will be thriving in the next 20 years) were collected using the costs and feasibility of each conservation strategy designed for the Central Coast of British Columbia to conserve Pacific Salmon Conservation Units. Page 1 contains expert estimates of the probability that each CU group will be thriving (i.e. in the green status) in 2038, under each strategy. Please see README.txt for further information, including a description of strategies and variables. Data was collected through structured expert elicitation during two workshops in May and June 2018. The study area was the Central Coast of British Columbia, covering the traditional territories of the Heiltsuk, Nuxalk, Kitasoo/Xai'xais and Wuikinuxv Nations. Confidentiality declaration: All personal data are removed and only the summarized data across experts are provided. This dataset was originally deposited in the Simon Fraser University institutional repository. https://creativecommons.org/licenses/by-nd/4.0/
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Booy, Regard; Carolan, Patrick Raw data for a project examining the cognitive underpinnings of the positivity offset. Confidentiality declaration: All subjects provided informed consent before participating. This dataset was originally deposited in the Simon Fraser University institutional repository. https://creativecommons.org/licenses/by-nd/4.0/

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