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2021-07-05
Original data for Kananaskis River hydrology and Alberta government data for rain chemistry
Résultats de recherche
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2021-04-30
Published under the Creatives Common License CC BY-NC 4.0
This data set contains the orthometric image (three (3) file formats .tiff, .wtf, .prj) of Pauline Cove developed from UAV photogrammetry collected by the Capture2Preserv Team with the eBee Classic fixed wing UAV June 2019. Check date
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2020-03-29
Catherine’s Asthma Case introduces a 52-year-old woman with a persistent cough as the student’s last patient of the day. The main learning objectives are to take a focused history and identify risk factors and clinical features that increases probability of asthma diagnosis; to develop a broad differential diagnosis of wheeze / cough. (Not all that wheezes is asthma); to become familiar with management of asthma, different medication delivery methods, and other management options; to be comfortable assessing asthma control in follow-up; and to be aware of inhaled glucocorticoid side effects. There is more information about our learning objectives and the project's aims here on the Canadian Health Education Commons (CHEC).The EMR's used in our case include MedAccess and Netcare.
This case is designed to make the student consider clinical time management in their decision-making. The student is given 15 minutes to make all of their decisions for the initial visit, including history and patient chart review, a physical exam, an initial diagnosis, initial management and patient education. This visit is followed up 2 months later, and the student is asked whether the symptoms have been controlled. This decision can lead to two separate outcomes for the patient. There is also bonus content for this case, with further management several months later. The learner is encouraged to investigate, explore, ask questions, and make rapid decisions based on realistic clinical encounters with the patient. The learner will be required to engage general principles of history taking, consider principles of reflective practice, see how their assessment may impact a patient’s health following the visit, and consider some of the fears or misconceptions around steroid use. This case was developed as part of the SharcBAIT Project
README on what to do with these files
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You have downloaded an OLab zip file. See the second zip file contained within this download. Extract it and save it as a single zip file so this can be imported into an existing OpenLabyrinth v3 or OLab4 server. You do not need to expand this second zip file -- the import process will expand the contents into the correct locations on the OLab server.
What are OLab scenarios?
An OLab virtual scenario is a case or story, or it might be a wee test to challenge your learners. It might be a simple 3-step set of pages and questions. It might be a complex choose-your-own-adventure style of branching narrative.
Why do I need an OLab server?
To simply play the original scenario, look at the metadata in the Dataverse that you downloaded this zip from. There will be a link to a playable version - for this, you only need a web browser. (No software download needed.)
But if you want to be able to edit the scenario, examine how it was crafted or use it as a template on which to build a new one, you start with this zip file and import it into an OLab server.
You will need an account on that OLab server that gives you author privileges.
If you do not have an account, contact us using the contact information given in the metadata in the Dataverse.
How do I import this scenario into an OLab server?
There are more detailed instructions available in the OLab User Guide.
Briefly the steps are as follows:
1. Login to your OLab server as usual.
2. Under the Labyrinths or Maps menu, click on Import
3. Tell the server which zip file to import.
4. It should only take a few seconds to import most zip files. More complex scenarios might take a couple of minutes at most.
5. When imported, the scenario should appear in your list of Labyrinths or Maps.
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2020-09-30
Published under the Creatives Common License CC BY-NC 4.0.
This data set contains one hundred and twenty-six (126) files (.tif, .prj, .twf) that create an orthomosaic image of the Frank Slide Interpretation Centre. The data was collected with a DJI Phantom 4 Pro and processed with Pix4D Mapper 4.5.6 by Geomatics Engineering students at the School of Construction, Southern Alberta Institute of Technology, 2020-06-05. This data set also contains a readme file (.txt) to assist with the unpacking of the .tar file.
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2020-06-08
This dataset contains time-domain reflectometry (TDR), thermistor, and automatic weather station (AWS) data from summer, 2016 at DYE-2 on the southwestern Greenland Ice Sheet. Two firn pits were excavated, 5.3 and 2.2 m deep, and vertical arrays of TDR sensors and thermistors were installed to track meltwater infiltration and refreezing through the summer melt season (Samimi et al., 2020).
AWS, TDR, and thermistor data were written to a Campbell Scientific CR1000 datalogger and the raw (ascii) output from the datalogger is imported to an Excel spreadsheet. Data have been quality-controlled through the elimination of any non-physical values (e.g., -99999); these are replaced with NaN or blanks in the dataset. The thermistor and AWS data are complete. Ultrasonic depth gauge (SR50A) data are filtered to remove non-physical values and erroneous data associated with spurious reflections from blowing snow.
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2018-06-27
Published under the Creatives Common License CC BY-NC 4.0.
This data set contains ten (10) scans captured using a Z+F 5010X scanner by the Capture2Preserve Team June 2017 of the Perrenoud Homestead prior to dismantling for safety concerns. This is the first data set of five covering the dismantling process and the effects on the structure. Scan data is saved in .las format using Z+F Laser Control software v.8.9.0.
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2017-06-30
This data has been de-identified.
This dataset represents the results of a survey of University of Calgary researchers who received TriAgency Funding. The purpose of this study is to develop and test Open Badges as a means of recognizing researchers' compliance with the Tri-Agency Open Access Policy on publications. The survey showed researchers an Open Badge associated with a publication archived in PRISM: the University of Calgary’s digital repository. Respondents were then be invited to give their opinions about the value of an Open Badge that demonstrates compliance with the Tri-Agency Open Access Policy on publications. They were asked to reflect upon whether they would use such a Badge on their own research outputs.
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2022-01-21
Supplementary materials for the manuscript, "Currencies of recognition: What rewards and recognition do Canadian distributed medical education preceptors value?" by Johnston et al. (2022). This dataset contains the surveys that were distributed as part of the DME Preceptor Recognition project. It also contains the SRQR Checklist for qualitative data.
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2021-09-01
The data within this dataset supports the figures contained in the paper titled above
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2018-06-07
Published under the Creatives Common License CC BY-NC 4.0.
Metadata for the ten (10) 3D scans collected in June 2017 of Perrenoud Homestead.
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2019-10-30
In preparation for our first annual survey of mayors and councillors in early 2020, the Canadian Municipal Barometer research team has compiled background data on the 447 largest municipalities in Canada. We hope that this site will provide teachers, students, and the general public with a useful overview of many important features of Canada’s largest municipalities, from institutions to housing to commuting patterns. Please feel free to contact us if you have any questions or spot any errors in the data.
If possible, use the Stata version of the file, which contains clear variable and value labels.
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2019-01-05
Supplementary data for the article:
Fletcher, J.R., Asmussen, M.J., Nigg, S., MacIntosh, B.R. and B.M Nigg. Effect of shoe torsional stiffness on the energetics and kinetics of cycling. Journal of Sports Sciences.
available at http://dx.doi.org/10.1080/02640414.2019.1565650.
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2018-06-14
These documents provide historical background information on policy institutions in each city-domain pairing. These were used for "Patterns of Urban Governance: A Sequence Analysis of Long-Term Institutional Change in Six Canadian Cities" (Journal of Urban Affairs) and "Urban Governance and the American Political Development Approach" (Urban Affairs Review)
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2017-12-22
The included data supplement the results of Grono, E., & Donovan, E. (2018). Differentiating diffuse aurora based on phenomenology. Annales Geophysicae, 36(3), 891–898. https://doi.org/10.5194/angeo‐36‐891‐2018.
The majority of these movies correspond to events in the two 16 panel figures (32 events total) included in the paper as Figures 3 and 4.
Additional movies are provided to allow readers to classify events that appear in two additional studies which are referenced in the paper. These movies are identified in their descriptions.
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2020-04-16
This data set contains one hundred and twenty (120) files (.tif, .prj, .twf) that create an orthomosaic image of the Head-Smashed-In Buffalo Jump and Interpretation Centre. The data was collected with a DJI Matrice 210 RTK and DJI Matrice Mobile Station and Ground Control Points with a Leica GS14 Rover and Base and all processed with Pix4D Mapper 4.5.6 by Geomatics Engineering students at the School of Construction, Southern Alberta Institute of Technology
Published under the Creatives Common License CC BY-NC 4.0.
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2021-03-05
This data set contains the metadata for the eleven (11) scans collected to document the effects of dismantling the Perrenoud Homestead due to safety concerns. This data is the second of five data sets. The data was collected with the Z+F 5010X by the Capture2Preserve Team on July 18 2017. This was the first day of dismantling the homestead.
Published under the Creatives Common License CC BY-NC 4.0.
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2021-01-29
Published under the Creatives Common License CC BY-NC 4.0.
This data set contains sixteen (16) registered and cleaned scans of the archaeological remains at Cochrane Ranche. The excavation was performed by Bison Historical Services prior to the intersection between Hwy 1A and Hwy 22 was modified by Alberta Transport. The data was collected by the Capture 2 Preserve Team with a Z+F 5010X laser scanner on July 21, 2020. The data was processed and cleaned in Z+F Laser Control V. 9.2.1.
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2021-06-22
Data sets used for analysis in Fedigan et al (in prep)- Costs of male infanticide for female capuchins: When does an adaptive male reproductive strategy become costly for females and detrimental to population viability?
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2019-09-18
Published under the Creatives Common License CC BY-NC 4.0.
This data set contains thirty-five (35) registered 3D scans of the Jobber's House in Fish Creek Provincial Park. recorded as per a request from the Friends of Fish Creek Provincial Park Society prior to renovations. The fourteen (14) exterior scans were collected with a Z+F 5010X terrestrial laser scanner processed with Z+F Laser Control v8.9.0. The nineteen (19) interior scans were collected with a BLK 360 scanner and processed with Autodesk ReCap Pro 6.0. The interior and exterior scans were registered with Autodesk ReCap Pro 6.0.
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2021-07-16
Supplemental Table 1. Summary of the included clinical prediction models and the guideline-based prediction rule. Supplemental Figure 1. Frequency of predictor variables used in the included clinical prediction models and the guideline-based prediction rule. Supplemental Figure 2. Calibration plot of the adjusted Küpers model. Supplemental Figure 3. Sensitivity analysis with receiver operating characteristic curves of the clinical prediction models. Supplemental Figure 4. Sensitivity analysis with calibration plots of the clinical prediction models.
Instructions pour la recherche cartographique
1.Activez le filtre cartographique en cliquant sur le bouton « Limiter à la zone sur la carte ».
2.Déplacez la carte pour afficher la zone qui vous intéresse. Maintenez la touche Maj enfoncée et cliquez pour encadrer une zone spécifique à agrandir sur la carte. Les résultats de la recherche changeront à mesure que vous déplacerez la carte.
3.Pour voir les détails d’un emplacement, vous pouvez cliquer soit sur un élément dans les résultats de recherche, soit sur l’épingle d’un emplacement sur la carte et sur le lien associé au titre.
Remarque : Les groupes servent à donner un aperçu visuel de l’emplacement des données. Puisqu’un maximum de 50 emplacements peut s’afficher sur la carte, il est possible que vous n’obteniez pas un portrait exact du nombre total de résultats de recherche.