cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5683/sp3/kj1unc
title: Kevin Gets Cranky

description: Kevin presents to the emergency department and is experiencing a drug induced psychosis. He has also been in physical altercation with his girlfriend. Learners complete a mental status exam, risk assessment, and use the Housing First framework for discharge planning. Learners collaborate with the social worker to develop a discharge plan.
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: Information about OLab4 is available at https://olab.ca

Information about OLab3 is available at https://openlabyrinth.ca
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.
DOI: 10.5683/sp3/fvitgj
title: Jordan

description: Jordan is diagnosed with schizophrenia and smokes marijuana. He is admitted to an acute in-patient psychiatric unit. During his admission he learns he is unable to return to his parent's home after discharge and appropriate housing options need to be identified.
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/qxkdpb
title: Rehman

description: Rehman and his immediate family came to Canada 6 months ago and​ Rehman sees a nurse at the community health clinic. He came to the clinical with abdominal pain. Rehman reports that the only thing that has helped lessen his abdominal pain are a few alcoholic drinks here and there
description: OLab
description: Information about OLab4 is available at https://olab.ca

Information about OLab3 is available at https://openlabyrinth.ca
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: 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/lf5tjm
title: Transcriptions for the Productions of Russian Two-Consonantal Coda Clusters by Adult Bilinguals

description: This dataset includes the transcriptions for the productions of nonce words containing Russian coda clusters. The nonce words were produced by bilingual English/French adult participants.
description: Rows A-E include participant data. Rows F-U describe the target production, actual production, and errors made. All productions are broad transcriptions in IPA. Rows V-AB include descriptions of the consonant cluster in the task item. In columns where 0 and 1 are used, 0 indicates the absence of the feature, and 1 indicates the presence of the feature.
DOI: 10.5683/sp3/t7oixy
title: Arabic fishing songs from the Musandam Peninsula

description: This dataset contains recordings of fishing songs in the Arabic of Musandam Peninsula in eastern Arabia. Speaker metadata are found in the accompanying publication.
DOI: 10.5683/sp3/mokb9m
title: Disrupted and elevated circadian secretion of glucagon-like peptide-1 in a murine model of type 2 diabetes

description: Supplementary tables and figures
DOI: 10.5683/sp3/f1qnjb
title: Pest management in field vegetables and sugarbeets (2021)

description: &lt;p&gt;Trial data from 2021 for field trials evaluating the efficacy of host resistance and fungicide programs for downy mildew management in cucumbers and efficacy of fungicides and biofungicides for foliar diseases in tomato.&lt;/p&gt;&lt;p&gt;Included are field data from the trials:&lt;/p&gt;&lt;p&gt;&lt;li&gt;21-CUC-BM-A1: Integrating fungicide programs and host resistance for cucurbit downy mildew management&lt;/li&gt;&lt;li&gt;21-CUC-DM-B1: Cucurbit downy mildew management in pickling cucumbers using Phostrol, Cueva, and Diplomat&lt;/li&gt;&lt;li&gt;21-TOM-AES-D1: Fungicides for management of anthracnose, early blight, and septoria leaf spot&lt;/li&gt;&lt;/p&gt;
DOI: 10.5683/sp3/lznpkb
title: Breaking Bad Dataset
title: A Dataset for Geometric Fracture and Reassembly

description: We introduce Breaking Bad, a large-scale dataset of fractured objects. Our dataset consists of over one million fractured objects simulated from ten thousand base models. The fracture simulation is powered by a recent physically based algorithm that efficiently generates a variety of fracture modes of an object. Breaking Bad models the destruction process of how a geometric object naturally breaks into fragments and serves as a benchmark that enables the study of fractured object reassembly and presents new challenges for geometric shape understanding. See &lt;a href="https://breaking-bad-dataset.github.io/"&gt;project page&lt;/a&gt; for more information.
DOI: 10.5683/sp3/30dexa
title: Species-specific microRNA discovery and target prediction in the Soybean Cyst Nematode

description: The soybean cyst nematode (SCN) is a devastating pathogen for economic and food security considerations. Although the SCN genome has recently been sequenced, microRNA (miRNA) has not been systematically explored and reported. This paper describes the development of a species-specific SCN miRNA discovery pipeline and its application to the SCN genome. Experiments on well-documented nematodes (Caenorhabditis elegans and Pristionchus pacificus) are used to tune the pipeline’s hyperparameters and confirm its recall and precision. Application to the SCN genome identifies 1,565 high-confidence putative SCN miRNA. Prediction specificity within SCN is confirmed by applying the pipeline to RNA hairpins from known exonic regions of the SCN genome. Prediction recall is confirmed by building a positive control set of SCN miRNA, based on sequence and structure homology with known miRNA from other nematodes. Interestingly, a number of novel miRNA are predicted to be encoded within the intronic regions of effector genes, known to be involved in SCN parasitism, suggesting that these miRNA may also be involved in the infection process or virulence. Beyond miRNA discovery, gene targets within SCN are predicted for all high-confidence novel miRNA using a miRNA-mRNA target prediction system. Lastly, cross-kingdom miRNA targeting is investigated, where putative soybean mRNA targets are identified for novel SCN miRNA. All predicted miRNA and gene targets are made available in supplementary materials and through this repository
DOI: 10.5683/sp3/lweixt
title: ClimateSHIELD: MPA Climate Resilience Hub

description: Open-Sourced Database of actions taken by Marine Protected Areas in response to climate change.
DOI: 10.5683/sp3/qgaa0k
title: Data from: Human impacts on mammals in and around a protected area before, during, and after COVID‐19 lockdowns

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;The dual-mandate for many protected areas (PAs) to simultaneously promote recreation and conserve biodiversity may be hampered by negative effects of recreation on wildlife. However, reports of these effects are not consistent, presenting a knowledge gap that hinders evidence-based decision-making. We used camera traps to monitor human activity and terrestrial mammals in Golden Ears Provincial Park and the adjacent Malcolm Knapp Research Forest near Vancouver, Canada, with the objective of discerning relative effects of various forms of recreation on cougars (Puma concolor), black bears (Ursus americanus), black-tailed deer (Odocoileus hemionus), snowshoe hares (Lepus americanus), coyotes (Canis latrans), and bobcats (Lynx rufus). Additionally, public closures of the study area associated with the COVD-19 pandemic offered an unprecedented period of human-exclusion through which to explore these effects. Using Bayesian generalized mixed-effects models, we detected negative effects of hikers (mean posterior estimate = -0.58, 95% credible interval (CI) -1.09 to -0.12) on weekly bobcat habitat use and negative effects of motorized vehicles (estimate = -0.28, 95% CI -0.61 to -0.05) on weekly black bear habitat use. We also found increased cougar detection rates in the PA during the COVID-19 closure (estimate = 0.007, 95% CI 0.005 to 0.009), but decreased cougar detection rates (estimate = -0.006, 95% CI -0.009 to -0.003) and increased black-tailed deer detection rates (estimate = 0.014, 95% CI 0.002 to 0.026) upon reopening of the PA. Our results emphasize that effects of human activity on wildlife habitat use and movement may be species- and/or activity-dependent, and that camera traps can be an invaluable tool for monitoring both wildlife and human activity, collecting data even when public access is barred. Further, we encourage PA managers seeking to promote both biodiversity conservation and recreation to assess trade-offs between these two goals in their PAs.&lt;/p&gt;
description: <b>Dryad version number:</b> 5
<b>Version status:</b> submitted
<b>Dryad curation status:</b> Published
<b>Sharing link:</b> https://datadryad.org/stash/share/T8lkJUG-iMfFu8gXEWM9ggAxGPr5NmyrozksDx_bG2w
<b>Storage size:</b> 583544
<b>Visibility:</b> public
DOI: 10.5683/sp3/5v7bwy
title: Parvin Nejad+Mirani+Simmons - Mechanical characterization of pediatric pulmonary valve

description: This data set includes material characterization of porcine pediatric pulmonary valve tissue tested under planar biaxial tension.
DOI: 10.5683/sp3/hxzrkc
title: HODI Award in Built Heritage Conservation (2022)

description: Carleton Announces Student results of the HODI Award in Built Heritage Conservation
Carleton University and the Board of Directors of Historic Ottawa Development Inc. (HODI) have announced the winners results of the 2022 HODI Award in Built Heritage Conservation. This is the sixth annual competition since the first HODI competition in 2016. This year there were six undergraduate entrants from the Conservation and Sustainability program and one graduate entrant, all from the Azrieli School of Architecture and Urbanism. The efforts put forth by all the students were appreciated, but none fully met the competition criteria to give out a first-place award. The jury members have decided to give only one award of honorable mention and one merit award to recognize submissions that came closer to meeting the criteria of the competition. Some cash would be awarded, with the remainder ($5250) held for the next competition. One graduate student received an award of honorable mention:
Danielle Myronyk for her thesis project ‘Saving Architectural Heritage MapleLawn Estate and Garden’
One team of undergraduate students received an Award of Merit:
Madison Leonard and Dylan Jozkow (3rd year) – ‘Kemp Farmstead’
DOI: 10.5683/sp3/mr77ht
title: What did the scientific literature learn from internal company documents in the pharmaceutical industry: A scoping review dataset

description: The objective of our scoping review is to identify all scientific papers that used internal industry documents in the pharmaceutical sector and analyze what and how the scientific literature learned about corporate influence in the pharmaceutical sector through these internal documents. The scoping review allows to explore the systematic strategies used by drug companies to influence scientific knowledge, professional practices, public policy, and public opinion for their corporate interests. When it comes to public health and healthcare research, internal company documents often serve as unique sources for evidence of corporate activities in pursuit of strategic goals. We identified 37 papers in the final results. All articles obtained most of their internal document data through legal proceedings. All 37 articles unveil dynamic ghost-management strategies that pharmaceutical corporations employ to safeguard their corporate interest. The strategies identified relate to scientific capture (n=28), professional capture (n=16), regulatory capture (n=6), media capture (n=3), market capture (n=4), technological capture (n=2), civil society capture (n=4) and others (n=2).
DOI: 10.5683/sp3/ncmfnw
title: Replication Data and Code for: Do Ride-Sharing Services Cause Traffic Congestion?

description: The data and programs replicate tables and figures from "Do Ride-Sharing Services Cause Traffic Congestion?", by Pang and Shen. Please see the ReadMe file for additional details.
DOI: 10.5683/sp3/3jtf3c
title: Replication Data and Code for: Respecting Entitlements in Legislative Bargaining – A Matter of Preference or Necessity?

description: The data and programs replicate tables and figures from "Respecting Entitlements in Legislative Bargaining – A Matter of Preference or Necessity?", by Gantner and Oexl. Please see the ReadMe file for additional details.
DOI: 10.5683/sp3/cjh4yv
title: Greenhouse gases and dissolved organic matter concentrations and composition, and water chemical and geographic properties data from Canadian and Chilean peatland pools [2019-2020]
title: Données sur les concentrations et la composition des gaz à effet de serre et des matières organiques dissoutes, ainsi que sur les propriétés chimiques et géographiques de l'eau provenant des bassins de tourbières du Canada et du Chili [2019-2020]

description: This dataset includes greenhouse gases (GHG; CO2 and CH4) and dissolved organic matter (DOM) concentrations and composition, and water chemical and geographic (i.e., climate, vegetation cover and pool morphometry) properties of peatland pools. To evaluate the inter-regional pattern of GHG and DOM concentrations and composition, we sampled water from 73 peatland pools across five regions in eastern Canada (Grande plée Bleue, southern Quebec and Minganie region, eastern Quebec) and southern Chilean Patagonia (Punta Arenas, Karukinka Park and Navarino Island) in mid-summer 2019 (July-August in Quebec and January-February in Patagonia). We also conducted inter-annual sampling in Grande plée Bleue in 2019 and 2020 (between June and September) to identify the temporal patterns in GHG and DOM concentrations and composition. We performed and validated a 3-component PARAFAC model to identify the DOM component in peatland pool. We used this data to understand and quantify the intra- and inter-regional patterns and drivers of DOM and dissolved GHG (CO2 and CH4) in peatland pools as well as their links in contrasting geographical conditions.
description: Inter-regional spatial data: Area (m2), Depth (cm), Elevation (m), Trees (%), Shrubs (%), Herbs (%), Mosses (%), MAT (°C), MAP (mm), pH, TN (mg/L), TP (μg/L), DOC (mg/L), Specific UV absorbance (SUVA; Lmg/Cm), Ratio of absorbance at 465 nm to absorbance at 665 nm (E4/E6), Absolute concentrations (C1-C3; RU) and relative abundance (%C1-%C3) of dissolved organic matter, CO2-C (mg/L), CH4 (μg/L), CO2:CH4 and

Temporal data: DO (mg/L), pH, TN (mg/L), TP (μg/L), NO3 (μg/L), NH4 (μg/L), PO4 (μg/L), DOC (mg/L), Specific UV absorbance (SUVA; Lmg/Cm), Absolute concentrations (C1-C3; RU) and relative abundance (%C1-%C3) of dissolved organic matter, CO2-C (mg/L), CH4 -C (μg/L), CO2:CH4
DOI: 10.5683/sp3/u6n4ef
title: Soil Evaporation
title: Silty Sand and Lean Clay Classification and Evaporation Rates with Water and Saline Pore Fluid in the Canadian Prairies

description: The two main sub-folders are "Silty Sand" and "Lean Clay", which are representative regional soils of the Canadian Prairies. The sand is an inert soil that remains relatively unchanged with water content fluctuation, while the clay is an active soil that shrinks and swells with water. Each material has a "General Properties" sub-folder containing data used to make classifications that are independent of the pore fluid type. The "Water Pore Fluid" and "Saline Pore Fluid" contain "Specific Properties" sub-folders that contain data used to make classifications that are dependent on the pore fluid type. In addition, "Low Demand Evaporation" and "High Demand Evaporation" sub-folders contain data generated in the bench-scale atmospheric simulator (BAS2) and in ambient laboratory conditions. There are "3D Models" sub-folders containing all the data that was intermittently captured throughout the low demand evaporation experiments.
DOI: 10.5683/sp3/mylcod
title: Replication Data and Code for: Jack of Fewer Trades: Evolution of Specialization in Research

description: The data and programs replicate tables and figures from "Evolution of Specialization in Research", by Kim and Koh. Please see the ReadMe file for additional details.
DOI: 10.5683/sp3/qufrlo
title: Mabou Harbour Data for Craddock et al. (2022)

description: Field data (stream temperature, streamflow, seepage meter data, and separated baseflow) and the calibrated MODFLOW input file
DOI: 10.5683/sp3/89pnjz
title: Model of Topography and Impedance Contrasts Across the 660-Km Discontinuity

description: The globally observed seismic discontinuity at 660 km depth due to the post-spinel phase transition plays a key role in the style of material circulation within the mantle. While the topography of the 660 has been extensively investigated based on arrival times of long-period reflected, converted and coda waves, the amplitudes of these seismic arrivals, which are sensitive to density variations at the boundary, have not been sufficiently explored to date. In this study, we take advantage of a global dataset of SS precursors and simultaneously constrain the global variations of discontinuity depth, shear velocity and density contrasts across the 660. Please read the README file for a detailed description of the model.