cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5683/sp3/6b1ca1
title: Daniel Nicholson

description: Part of the Virtu-WIL project. See https://www.collegesinstitutes.ca/what-we-do/canadian-partnerships/virtu-wil/ for more details on this. Nursing case, post-operative complications.
Psychiatric patient diagnoes with schizophrenia and experiencing EPS
description: README on what to do with these files
-----------------------------------------------

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.
description: Information about OLab4 is available at https://olab.ca

Information about OLab3 is available at https://openlabyrinth.ca
description: This zip file should contain a secondary zip file. The secondary zip file is Medbiq MVP formatted export of the scenario. It can be imported into an OLab4 or OpenLabyrinth v3 server for further editing on that server. If you do not see a zip file in this listing, the uploading author may have forgotten to create one. In this case, download all of the files that you see attached to this dataset and compress them into a single zip file, which you can then import into your OLab server.
DOI: 10.5683/sp3/ua0bkg
title: Harper

description: Part of the Virtu-WIL project. See https://www.collegesinstitutes.ca/what-we-do/canadian-partnerships/virtu-wil/ for more details on this. Nursing case, post-operative complications. 
Paramedic are called by parents to their residence to attend to their 24-month-old daughter. The daughter was diagnosed with Acute Lymphoblastic Leukemia and after completing the 2nd round of chemotherapy 14 days ago, has a temperature and is felling very unwell.
description: This zip file should contain a secondary zip file. The secondary zip file is Medbiq MVP formatted export of the scenario. It can be imported into an OLab4 or OpenLabyrinth v3 server for further editing on that server. If you do not see a zip file in this listing, the uploading author may have forgotten to create one. In this case, download all of the files that you see attached to this dataset and compress them into a single zip file, which you can then import into your OLab server.
description: README on what to do with these files
-----------------------------------------------

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.
description: Information about OLab4 is available at https://olab.ca

Information about OLab3 is available at https://openlabyrinth.ca
DOI: 10.5683/sp3/5e0gbx
title: Secured Feedback in OLab

description: Report of how we created the ability to provide secured feedback reports in OLab3 and OLab4, along with case example.
description: OLab
description: This zip file should contain a secondary zip file. The secondary zip file is Medbiq MVP formatted export of the scenario. It can be imported into an OLab4 or OpenLabyrinth v3 server for further editing on that server. If you do not see a zip file in this listing, the uploading author may have forgotten to create one. In this case, download all of the files that you see attached to this dataset and compress them into a single zip file, which you can then import into your OLab server.
description: README on what to do with these files
-----------------------------------------------

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.
description: Information about OLab4 is available at https://olab.ca

Information about OLab3 is available at https://openlabyrinth.ca
DOI: 10.5683/sp3/nsgwkp
title: When is the job done? Engagement and completion of OLab cases

description: Calculating an Engagement Index for interactive materials, in particular OLab cases
description: OLab
description: Information about OLab4 is available at https://olab.ca

Information about OLab3 is available at https://openlabyrinth.ca
DOI: 10.5683/sp3/bad4qj
title: Wildfire Affected Lake Water Carbon Data [Québec, Canada and Minnesota, USA, 2021-2022]
title: Données sur le carbone des eaux lacustres touchées par les feux de forêt [Québec, Canada et Minnesota, États-Unis, 2021-2022]

description: This dataset contains lake water carbon pool concentration responses to three different wildfires. Sampling campaigns took place once in June or early July after the onset of thermal stratification (although not all lakes were deep enough to stratify) over two years; Côte-Nord was sampled in 2021, while Minnesota and Saguenay were sampled in 2022. Sampling varied in the time since the fire occurred, with the Côte-Nord fire (CN, 128 km2) occurring 3 years pre-sampling, the Saguenay fire (SAG, 599 km2) occurring 2 years pre-sampling, and the Greenwood Fire in Minnesota (MN, 108 km2) occurring 8 months pre-sampling.
description: The file contains the following variables and the units of measurement: DOC (mg/L), DIC (mg/L), CO2 (mg/L), CO2 (ppm), CH4 (mg/L), CH4 (ppm), POC (mg/L), TC (mg/L), %DOC, %DIC, %POC, %CO2, %CH4, CA:LA, Watershed Area (m^2), Watershed Burned Area (m^2), Lake perimeter (m), Zmax (m), Lake Area (m^2), Shoreline Burned (m), BA:LA, SB:SL, % Watershed burned, % Watershed wetland, Year of fire, Altitude (m), MAT (degree Celcius), MATP (mm), Latitude, Longitude
DOI: 10.5683/sp3/9n439y
title: Response of wild bee communities to beekeeping, urbanization, and flower availability

description: CSV files with Bees, Traits, Sites and Floral resources information in relation to article "Response of wild bee communities to beekeeping, urbanization, and flower availability" published in Urban Ecosystems.
DOI: 10.5683/sp3/bi5iwj
title: Replication Data for: "The Effect of an ‘Appearance, Presentation, and Demeanour’ Instruction on Credibility and Deception Judgments in Mock Refugee Status Decisions"

description: This set of files contains:

• our participants’ credibility findings and confidence ratings data (Excel)

• the codebook that the describes the coding used to code the textual elements (Word)

• the coded text (Word)

• the textual elements coding data (Excel)
description: Ethics Statement: Ethical approval for this study was obtained from the Toronto Metropolitan University Research Ethics Board (REB 2022-261)
DOI: 10.5683/sp3/4nrrld
title: Canadian COVID-19 Antibody and Health Survey, Cycle 2
title: Enquête canadienne sur la santé et les anticorps contre la COVID-19, Cycle 2
title: CCAHS Cycle 2

description: This public use microdata file (PUMF) contains data for a wide variety of variables collected from the Canadian COVID-19 Antibody and Health Survey (CCAHS). The CCAHS collected information on the presence of chronic conditions, self-reported COVID-19 status, testing history, risk for infection, health behaviours and vaccination status. COVID-19 antibody seroprevalence laboratory data, and select demographic information are also available. Survey data were collected between April 2022 and August 2022, with the vast majority of collection occurring in May, June and July 2022.
&lt;br&gt;
&lt;br&gt;
The Canadian COVID-19 Antibody and Health Survey (CCAHS) collected information in two parts. The first part is an electronic questionnaire about general health and exposure to COVID-19. The second part is two self-administered sample collections; an at-home finger-prick sample collection called a dried blood spot (DBS) sample, which was used to measure the presence of antibodies against SARS-CoV-2, the virus that causes COVID-19, from vaccination or prior infection. The second at-home collection was a saliva sample which was used to determine if there was a recent or current SARS-CoV-2 infection at the time of sampling, by testing for viral material in the sample using a polymerase chain reaction (PCR) test. Participants were asked to complete both sample collections as soon as possible after the questionnaire.
&lt;br&gt;
The data can be used to:
&lt;ul&gt;
 &lt;li&gt;Estimate how many Canadians test positive for antibodies against COVID-19. By using each participant's DBS samples combined with their survey responses, we can determine how many Canadians have antibodies against COVID-19 due to infection, vaccination or both.&lt;/li&gt;
 &lt;li&gt;Provide a platform to explore emerging public health issues;&lt;/li&gt;
 &lt;li&gt;Assist in the development of programs and services to respond to the needs of the current pandemic.&lt;/li&gt;
 &lt;li&gt;Identify the estimated prevalence of infection on any given day during May to August 2022 in Canada.&lt;/li&gt;
&lt;/ul&gt;
description: Canadian COVID-19 Antibody and Health Survey
description: This dataset is for the CCAHS Cycle 2 PUMF, and contains the data collected as part of the main CCAHS. This includes data from a questionnaire, a dried blood spot sample test, and a saliva sample test. Alongside this main CCAHS Cycle 2 PUMF, there is also a separate 'CCAHS Cycle 2 SARS-CoV-2 Genetic Sequences' PUMF produced by Statistics Canada, which contains specific SARS-CoV-2 lineage data gathered from a subset of the CCAHS Cycle 2 participants. This has been released as a separate dataset; please see the 'Related Dataset' section under 'Citation Metadata' for more information.
DOI: 10.5683/sp3/eowhds
title: Hypertension Two-Step

description: Simple 3-step (despite the title) map on BP prescribing
description: OLab
description: Simple how-to case. Minimal clinical content
description: Information about OLab4 is available at https://olab.ca

Information about OLab3 is available at https://openlabyrinth.ca
description: This zip file should contain a secondary zip file. The secondary zip file is Medbiq MVP formatted export of the scenario. It can be imported into an OLab4 or OpenLabyrinth v3 server for further editing on that server. If you do not see a zip file in this listing, the uploading author may have forgotten to create one. In this case, download all of the files that you see attached to this dataset and compress them into a single zip file, which you can then import into your OLab server.
DOI: 10.5683/sp3/vj3kk0
title: Hiccups: single node case

description: Case illustrating that you can create a scenario using a single Node.
description: OLab
description: Simple how-to demonstrator
description: Information about OLab4 is available at https://olab.ca

Information about OLab3 is available at https://openlabyrinth.ca
description: This zip file should contain a secondary zip file. The secondary zip file is Medbiq MVP formatted export of the scenario. It can be imported into an OLab4 or OpenLabyrinth v3 server for further editing on that server. If you do not see a zip file in this listing, the uploading author may have forgotten to create one. In this case, download all of the files that you see attached to this dataset and compress them into a single zip file, which you can then import into your OLab server.
DOI: 10.5683/sp3/ndjla0
title: All Roads Lead to Rhome: multiple start point example

description: Simple game that allows multiple start points in the map. This makes most sense when the map is called from an external tool or platform.
description: OLab
description: Simple how-to demonstrator
description: This zip file should contain a secondary zip file. The secondary zip file is Medbiq MVP formatted export of the scenario. It can be imported into an OLab4 or OpenLabyrinth v3 server for further editing on that server. If you do not see a zip file in this listing, the uploading author may have forgotten to create one. In this case, download all of the files that you see attached to this dataset and compress them into a single zip file, which you can then import into your OLab server.
description: Information about OLab4 is available at https://olab.ca

Information about OLab3 is available at https://openlabyrinth.ca
DOI: 10.5683/sp3/wcun0s
title: Global Public Opinion on Artificial Intelligence (GPO-AI)

description: In October and November 2023, researchers at the Schwartz Reisman Institute for Technology and Society and the Policy, Elections and Representation Lab at the Munk School of Global Affairs and Public Policy at the University of Toronto completed a survey on public perceptions of and attitudes toward AI. The survey was administered to over 1,000 people in each of 21 countries, for a total of 23,882 surveys conducted in 12 languages. The combined populations of the countries sampled represent a majority of the world's population.

Countries: Argentina, Australia, Brazil, Canada, Chile, China, France, Germany, India, Indonesia, Italy, Japan, Kenya, Mexico, Pakistan, Poland, Portugal, South Africa, Spain, United Kingdom, United States of America

Languages: Chinese (Simplified), English, French, German, Indonesian, Italian, Japanese, Polish, Portuguese (Portugal), Portuguese (Brazil), Spanish (Spain), Spanish (Latin America).

The survey explored general knowledge of and attitudes toward AI. Topics included concerns about AI, safety, regulation, autonomous vehicles and AI's effect on jobs now and in the future. Participants were asked whether they are interested in or trust applications of AI for clothes, travel, grocery shopping, dating or finance. Respondents were asked about their attitudes toward the use of emerging technologies in education, the justice system, health care and immigration. Respondents were also asked about their knowledge of and experience with ChatGPT and deepfakes.
description: Please contact Blake Lee-Whiting (blake.lee.whiting@mail.utoronto.ca) if you have any questions or concerns about the data.
DOI: 10.5683/sp3/zkiq9d
title: Dataset of Environmental Performance Assessment of a Decentralized Network of Recyclable Waste Sorting Facilities: Case Study in Montreal
title: Jeu de données de la performance environnementale d'un réseau décentralisé de centres de tri de matières recyclables: étude de cas à Montréal

description: The dataset presents the raw results associated with an environmental and economic assessment of a decentralized recyclable waste treatment facility network. It was obtained by deriving Montreal's open dataset and applying an algorithm. The treatment chain consists of allocating recyclable waste in dwellings, simulating the collection of that waste, sorting this waste and shipping PET to a treatment facility. The dataset documents the details of this chain of events. All this treatment was modelled. The study modelled seven scenarios: a baseline scenario and six decentralization scenarios. The performance assessment is applied to the six scenarios.
DOI: 10.5683/sp3/jfvrcc
title: 4000 Year Paleo-Storm Proxy Reconstruction from the Magdalen Islands, QC, Canada

description: Atlantic Canada frequently experiences major storms, particularly tropical cyclones transitioning into post-tropical storms. Long-term records are scarce, with most studies focusing on marine and coastal overwash, and none on aeolian sediment records. To address this gap, we analyzed grain-size and geochemical data from two ombrotrophic peatlands in Quebec's Magdalen Islands, using loss-on-ignition and micro-X-ray fluorescence core-scanning to establish and examine paleo-storm proxies. This dataset includes age-models based on lead-210 and carbon-14, storm proxies (grain-size and Titanium measurements), and paleo-storm frequency reconstructions for both sites, covering the past 4000 years. This data provide new insights into past storm activity in the region.
DOI: 10.5683/sp3/tex9jy
title: Replication Data for: Informed Consent Contexts in a Multidisciplinary Research Data Repository

description: This dataset provides information about all individual-level human-research datasets published in Borealis: The Canadian Dataverse Repository between January 2022 and September 2024.
DOI: 10.5683/sp3/o8dlsu
title: IPRPAS: A Dataset of Resembling Physical Adversarial Samples to Assess Object Detection in Intelligent Vehicles

description: The IPRPAS dataset is designed to evaluate Object Detection Models (ODMs) against Resembling Physical Adversarial Samples (RPAS).
We present Images and Point Clouds of Resembling Physical Adversarial Samples (IPRPAS), a collection of annotated paired images and point clouds of printed, displayed, or projected RPASs in both indoor and outdoor scenarios. IPRPAS includes various common driving objects such as cars, traffic signs, traffic lights, and persons under different weather conditions, positions, distances, lighting conditions, and viewing angles. The dataset contains images from both left and right cameras, 3D point clouds in multiple formats (.pcd, .bin, .ply), object labels, and calibration files.
DOI: 10.5683/sp3/wrpd0q
title: PLFA and Microbial Biomass Data

description: In this study, grassland soils were collected from 15 ranch pairs located across the Canadian prairie, where, in each pair, one ranch practiced multi-paddock grazing while the other practiced conventional grazing (varying from continuous to slow to fast rotational grazing). Soil phospholipid fatty acid (PLFA) profiles were used to quantify microbial functional groups, and measured microbial biomass C and soil properties.
DOI: 10.5683/sp3/nyq7ng
title: Interview codebook data related to Perceptions of Science and Expertise Among Alternative Ranchers in Alberta, Canada:

description: This study looks at how ranchers in Alberta
relate to scientific information and expertise, asking the question How are science, scientists, and scientific institutions perceived among alternative livestock management practitioners in the Canadian prairies? This qualitative study sought out alternative ranchers who choose variousmanagement practices, such as Holistic Management and Adaptive Multi-Paddock grazing. In depth interviews were conducted with twenty alternative ranchers. Original transcripts of the interviews contain sensitive participant information and are thereforesubject to confidentiality requirements as per the Research Ethics Board of the University of Alberta guidance. Thus, the data presented here codebook obtained from all the intereview data was that coded using NVivo12.
DOI: 10.5683/sp3/7kmkpf
title: Legacy DDT and its metabolites in Brook Trout from lakes within forested watersheds treated with aerial applications of insecticides

description: This dataset contains fish, sediment, and isotope measures from the PLOS One publication titled "Legacy DDT and its metabolites in Brook Trout from lakes within forested watersheds treated with aerial applications of insecticides".
DOI: 10.5683/sp3/o3runl
title: Pharmacists’ Experiences Providing Care to 2SLGBTQ+ Communities in British Columbia, Canada

description: This cross-sectional, mixed-methods survey was conducted in British Columbia, targeting registered pharmacists and student pharmacists, asking participants to assess the inclusivity of their practice and their pharmacy, rank the most important pharmacist competencies for providing inclusive care, and comment on facilitators and barriers they experience in providing care to 2SLGBTQ+ communities. The survey was disseminated online from October 24 to December 18, 2022.