cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5683/sp3/ss856g
title: Mise à jour du comité - Division d'Accès aux données, CCE/IDD, CDP

description: Un aperçu des activités de l'IDD, ainsi que des projets et priorités à venir.
description: DLI National Virtual Training / Formation nationale virtuelle de l'IDD
DOI: 10.5683/sp3/7rwbj5
title: Adapting to the pandemic through remote instruction - A panel

description: Due to the pandemic, our normal teaching routines were disrupted. We were forced to adapt and change our approaches by teaching our workshops on data literacy and tools from in-person to a completely online environment. Panel speakers will discuss our different approaches to this task, what has worked, and what challenges we’ve faced. We’ll leave time for discussion and for others to share their own instruction experiences in this unusual year.
description: DLI National Virtual Training / Formation nationale virtuelle de l'IDD
DOI: 10.5683/sp3/8rfprm
title: Overview of Content of the 2021 Census

description: This presentation provides an overview of the content of the 2021 Census of Population questionnaire, with an emphasis on new and modified content.
description: DLI National Virtual Training / Formation nationale virtuelle de l'IDD
DOI: 10.5683/sp3/pnohgz
title: The Gender, Diversity and Inclusion Statistics Hub

description: The Gender, Diversity and Inclusion Statistics Hub focuses on disaggregated data by gender and other identities to support evidence-based policy development and decision making. The hub is a centralized platform that enables users to easily access and analyze a wealth of statistical information, relevant to the evaluation of programs, policies and initiatives from a gender, diversity and inclusion perspective. The goal of this presentation is to demonstrate how to access the hub and to provide a description of the hub’s functionalities. This presentation will also touch on the history of the hub, future development plans for the hub, and other Statistics Canada’s hubs on diverse populations.
description: DLI National Virtual Training / Formation nationale virtuelle de l'IDD
DOI: 10.5683/sp3/vhm5sh
title: Le Carrefour statistique sur le genre, la diversité et l'inclusion

description: Le Carrefour statistique sur le genre, la diversité et l’inclusion se consacre sur la présentation de données ventilées selon le genre et autres identités pour soutenir l’élaboration de politiques et la prise de décisions fondées sur des données probantes. Le carrefour est une plateforme centralisée qui permet aux utilisateurs d’accéder et d’analyser facilement une multitude d’informations statistiques pertinentes pour l’évaluation de programmes, de politiques et d’initiatives sous la perspective du genre, de la diversité et de l’inclusion. L’objectif de cette présentation est de démontrer comment accéder au carrefour et de fournir une description de ces fonctionnalités. Cette présentation abordera également l’historique du carrefour, les plans de développement futurs et d’autres carrefours statistiques portant sur des populations diverses.
description: DLI National Virtual Training / Formation nationale virtuelle de l'IDD
DOI: 10.5683/sp3/dbe5ym
title: Geocoding options overview

description: A Lightning talk on Geocoding overview and options.
description: DLI National Virtual Training / Formation nationale virtuelle de l'IDD
DOI: 10.5683/sp3/xist0n
title: Support your research with data management planning!

description: This will be an applied session focused upon Data Management Plans. Topics covered will include the importance and benefits of DMPs, how they can support research projects, what makes a ‘good’ DMP, as well as an in-depth look at their content. A hands-on demonstration of the freely available Portage Data Management Planning (DMP) Assistant will be offered, and participants are welcome to create an account prior to the session should they wish to learn to navigate and use this gold standard data management planning tool. Additionally, resources to help guide the development of DMPs, including guidance documents and Exemplar DMPs - will be provided!
description: DLI National Virtual Training / Formation nationale virtuelle de l'IDD
DOI: 10.5683/sp3/dyq4gy
title: Survival Guide 2020 - ARCHIVED

description: The DLI Survival Guide was updated in 2021. This is the original version produced in 2007. This version is for archival purposes.
description: Other
DOI: 10.5683/sp3/wxyclh
title: TTalk Node Redirection Designs

description: Redirection to new Nodes and pathways, during a TTalk session in an OLab4 scenario, opens up a host of new learning designs and scenario design patterns. 
This report describes how we have used this approach in various projects.
description: OLab, 4.6
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 report. 

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/twsc1q
title: Replication Data and Code for: Modelling the composition of household portfolios: A latent class approach

description: The data and programs replicate tables and figures from "Modelling the composition of household portfolios: A latent class approach", by Alzuabi, Brown, Harris, and Taylor. Please see the ReadMe file for additional details.
DOI: 10.5683/sp3/smmdpx
title: Données relatives au mémoire Modélisation numérique du système aquifère régional appalachien du bassin versant de la rivière Saint-François, Québec, Canada

description: Données relatives au mémoire « Modélisation numérique du système aquifère régional appalachien du bassin versant de la rivière Saint-François, Québec, Canada. » rédigé dans le cadre de la maîtrise en sciences de la terre à l'Institut national de la recherche scientifique. Les données représentent les annexes V, VI, VII, IX, X et XI du mémoire.
Nous recommandons de parcourir les fichiers en utilisant la fonction Arborescence.
DOI: 10.5683/sp3/ukebrs
title: Datasets for 'Picturing local adaptation: spectral and structural traits from drone remote sensing reveal clinal responses to climate transfer in common-garden trials of interior spruce (Picea engelmannii x glauca)'

description: &lt;p&gt;Datasets “PCA_sites_seedlots” contain climateNA variables and
principal component values for each test site and provenance in the
datasat; these data are presented in Fig. 1.&lt;/p&gt;
&lt;p&gt;Datasets “blups_correlations” contain best linear unbiased
predictions (BLUPs) for each trait for each population, populationtransfer
distances along principal components, and trait correlations with
positive and negative transfer distances; these data are presented in
Figs. 5 and 6.&lt;/p&gt;
&lt;p&gt;Datasets “model_cross_validation” contain ground-measured BLUPs for
height and DBH and model predictions for these traits from the selected
models from site- and population-wise cross validations; these data are
presented in Figs. 7, 8, S6, and S7.&lt;/p&gt;
DOI: 10.5683/sp3/tfav36
title: Data Challenges: 2024 Pediatric Sepsis Challenge

description: &lt;p&gt;&lt;br /&gt;&lt;strong&gt;Objective(s):&lt;/strong&gt; The 2024 Pediatric Sepsis Data Challenge provides an opportunity to address the lack of appropriate mortality prediction models for LMICs. For this challenge, we are asking participants to develop a working, open-source algorithm to predict in-hospital mortality and length of stay using only the provided synthetic dataset. &lt;br&gt;
&lt;br&gt;
The original data used to generate the real-world data (RWD) informed synthetic training set available to participants was obtained from a prospective, multisite, observational cohort study of children with suspected sepsis aged 6 months to 60 months at the time of admission to hospitals in Uganda. For this challenge, we have created a RWD-informed synthetically generated training data set to reduce the risk of re-identification in this highly vulnerable population. The synthetic training set was generated from a random subset of the original data (full dataset A) of 2686 records (70% of the total dataset - training dataset B). All challenge solutions will be evaluated against the remaining 1235 records (30% of the total dataset - test dataset C).
&lt;br&gt;
&lt;br /&gt;&lt;strong&gt;Data Description:&lt;/strong&gt;
Report describing the comparison of univariate and bivariate distributions between the Synthetic Dataset and Test Dataset C. Additionally, a report showing the maximum mean discrepancy (MMD) and Kullback–Leibler (KL) divergence statistics. Synthetic training dataset and data dictionary for the synthetic dataset containing 138 variables.
description: &lt;br /&gt;&lt;strong&gt;NOTE for restricted files:&lt;/strong&gt; If you are not yet a CoLab member, please complete our &lt;a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79"&gt;membership application survey&lt;/a&gt; to gain access to restricted files within 2 business days.
&lt;br /&gt;Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator at &lt;a href = mailto:sepsiscolab@bccchr.ca&gt;sepsiscolab@bcchr.ca&lt;/a&gt; or visit our &lt;a href = "https://wfpiccs.org/pediatric-sepsis-colab/"&gt;website&lt;/a&gt;.
DOI: 10.5683/sp3/c8czbk
title: Replication Data for: Farm management practices and season dependent factors affect the microbial community and chemical profile of corn and grass-legume silages of farms in Ontario, Québec, and Northern New York

description: This dataset represents the data used in the Frontiers in Microbiology article titled "Farm management practices and season dependent factors affect the microbial community and chemical profile of corn and grass-legume silages of farms in Ontario, Québec, and Northern New York" It contains raw fastq data, NMR data, and metadata.
description: Chenomx NMR Mixture Analysis, 10
description: NMR data (.CHX) files can be viewed using the Chenomx NMR Mixture Analysis Evaluation Version software.
DOI: 10.5683/sp3/38ry5p
title: FRQ-funded journal article publications, published 2020-2022

description: This dataset is a list of journal articles published between 2020-2022 that were funded by the Fonds du Recherche du Québec (FRQ). The list of articles was assembled using Crossref’s public rest API Funder Endpoints.
DOI: 10.5683/sp3/lnfhgo
title: Dual-encoded magnetization transfer and diffusion imaging and its application to tract-specific microstructure mapping.

description: This dataset contains the dual-encoded raw MT-weighted diffusion data and processed files for 1 subject.
It also contains the MTR connectivity matrices (tract-specific and tractometry) for all 10 subjects (scan-rescan).
DOI: 10.5683/sp3/4obbei
title: Smart Discharges for Mom & Baby 1.0: Targeted follow-up after facility delivery with accurate predictions of neonatal and maternal morbidity or mortality

description: &lt;br/&gt;&lt;strong&gt;Background:&lt;/strong&gt; The first six weeks following delivery bear the most significant and persistent burden of under-5 and maternal death, and severe neonatal and maternal morbidity. Efforts are currently underway to improve outcomes immediately following births at health facilities for both mothers and newborns. However, care following facility discharge presents significant challenges and
accounts for a high proportion of maternal and neonatal death and morbidity. The objective of this study is to develop a clinical risk prediction model using maternal and
infant characteristics collected at the time of hospital discharge following a facility delivery to predict maternal or neonatal death or major morbidity within six weeks of birth. A secondary objective is to characterize the epidemiology of post-discharge mortality and morbidity for women and their infants after facility delivery. &lt;br/&gt;

&lt;br /&gt;&lt;strong&gt;Methods:&lt;/strong&gt; We will recruit a cohort of 3200 maternal and infant pairs after delivery at Mbarara Regional Referral Hospital to develop the risk model. This study involves prospective recruitment and data collection prior to discharge and final follow-up at six weeks postpartum for both mom and baby. Initial data collection will be completed by study research nurses as a prospective chart review and time of discharge patient assessment. Data collection will include maternal socio-demographics variables, clinical condition during admission, details of delivery and co-morbid conditions and maternal and infant vital signs at hospital discharge. Six-week follow up will be completed in person at the facility or through telephone follow-up to capture any maternal or infant adverse outcomes, including details of any re-admission to hospital, occurring after the initial discharge.&lt;br /&gt;

&lt;br /&gt;&lt;strong&gt;Ethics Declaration:&lt;/strong&gt; Institutional review boards at the University of British Columbia (H18-02523), the Mbarara University of Science and Technology (14/09-18), and the Uganda National Council for Science and Technology (SS 4853) approved the study.&lt;br /&gt;
description: &lt;br /&gt;&lt;strong&gt;NOTE for restricted files:&lt;/strong&gt; If you are not yet a CoLab member, please complete our &lt;a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79"&gt;membership application survey&lt;/a&gt; to gain access to restricted files within 2 business days.
&lt;br /&gt;Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator at &lt;a href = mailto:sepsiscolab@bccchr.ca&gt;sepsiscolab@bcchr.ca&lt;/a&gt; or visit our &lt;a href = "https://wfpiccs.org/pediatric-sepsis-colab/"&gt;website&lt;/a&gt;.
DOI: 10.5683/sp3/tuqwgv
title: Additional fungicides for the management of Cercospora beticola of sugar beet (Beta vulgaris L.) - efficacy and integration

description: Trial data from 2020 and 2021 for field trials evaluating the efficacy of fungicides for Cercospora leaf spot of sugar beet.
DOI: 10.5683/sp3/tzqiwo
title: Additional fungicides for the management of Cercospora beticola of sugar beet (Beta vulgaris L.) - fungicide programs

description: Trial data from 2020 and 2021 for field trails evaluating fungicide programs for Cercospora leaf spot management of sugar beet.
DOI: 10.5683/sp3/bhyhzj
title: An exploration into the direct and indirect effects of phosphites on C. beticola of sugar beet

description: Trial data from laboratory trials conducted in 2020-2023 to explore the direct and indirect effects of phosphites based fungicides on Cercospora beticola of sugar beet.
DOI: 10.5683/sp3/s3wbx3
title: Data from: A test of the green wave hypothesis in omnivorous brown bears across North America

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;Herbivorous animals tend to seek out plants at intermediate phenological states to improve energy intake while minimizing consumption of fibrous material. In some ecosystems, the timing of green-up is heterogeneous and propagates across space in a wave-like pattern, known as the green wave. Tracking the green wave allows individuals to prolong access to higher-quality forage. While there is a plethora of empirical support for such behavior in herbivorous taxa, the green wave hypothesis (GWH) is nuanced based on factors such as body morphometrics and digestive capacity. Furthermore, little is known about whether other taxa, such as omnivores, track the green wave. Our objective was to assess whether the GWH can be extended to explain the movements of omnivores. Using GPS collar data from seven populations (n = 127 individuals) of brown bears (&lt;em&gt;Ursus&lt;/em&gt; &lt;em&gt;arctos&lt;/em&gt;) across their entire North American range, we first tested whether bears tracked the green wave. Using conditional resource selection functions, we found that variation in proxies of vegetative forage quality better-explained movement and habitat selection than proxies of forage biomass in over half of the bears in our study, providing evidence of green wave tracking. Second, we assess factors that explained variation in green wave tracking using linear mixed-effects models. Green wave tracking in brown bears was explained by the variation in availability of green-up within spring home ranges, and how green-up transitioned across those home ranges. Our results demonstrate that the GWH can partially explain movement of a non-migratory omnivorous species, extending the generality of the GWH as a broad predictor of animal space use. The green wave is another resource wave brown bears track, and our findings help predict brown bear space use, which can be used to guide conservation and habitat restoration efforts.&lt;/p&gt;
description: &lt;b&gt;Methods&lt;/b&gt;&lt;br /&gt;&lt;p&gt;This dataset was developed by merging GPS location data from collared grizzly bears with environmental data. See methods section of Bowersock et al. 2023 in Ecography for details. &lt;/p&gt;
description: &lt;b&gt;Usage notes&lt;/b&gt;&lt;br /&gt;&lt;p&gt;Both datasets do not require specific programs or software to open. They are in the comma-delimited format (CSV).&lt;/p&gt;
description: <b>Dryad version number:</b> 3
<b>Version status:</b> submitted
<b>Dryad curation status:</b> Published
<b>Sharing link:</b> https://datadryad.org/stash/share/EyBD9mkb6_26u8uOj71sDx7l1DIJg7Ln2lA7miUXGMk
<b>Storage size:</b> 137982993
<b>Visibility:</b> public
DOI: 10.5683/sp3/nzkb1u
title: Data from: Human presence and infrastructure impact wildlife nocturnality differently across an assemblage of mammalian species

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;Wildlife species may shift towards more nocturnal behavior in areas of higher human influence, but it is unclear how consistent this shift might be. We investigated how humans impact large mammal diel activities in a heavily recreated protected area and an adjacent university-managed forest in southwest British Columbia, Canada. We used camera trap detections of humans and wildlife, along with data on land-use infrastructure (e.g., recreation trails and restricted-access roads), in Bayesian regression models to investigate impacts of human disturbance on wildlife nocturnality. We found moderate evidence that black bears (&lt;em&gt;Ursus americanus&lt;/em&gt;) were more nocturnal in response to human detections (mean posterior estimate = 0.35, 90% credible interval = 0.04 to 0.65), but no other clear relationships between wildlife nocturnality and human detections. However, we found evidence that coyotes (&lt;em&gt;Canis latrans&lt;/em&gt;) (estimates = 0.81, 95% CI = 0.46 to 1.17) were more nocturnal and snowshoe hares (&lt;em&gt;Lepus americanus&lt;/em&gt;) (estimate = -0.87, 95% CI = -1.29 to -0.46) were less nocturnal in areas of higher trail density. We also found that coyotes (estimate = -0.87, 95% CI = -1.29 to -0.46) and cougars (&lt;em&gt;Puma concolor&lt;/em&gt;) (estimate = -1.14, 90% CI = -2.16 to -0.12) were less nocturnal in areas of greater road density. Furthermore, coyotes, black-tailed deer (&lt;em&gt;Odocoileus hemionus&lt;/em&gt;), and snowshoe hares were moderately more nocturnal in areas near urban-wildland boundaries (estimates and 90% CIs: coyote = -0.29, -0.55 to -0.04, black-tailed deer = -0.25, -0.45 to -0.04, snowshoe hare = -0.24, -0.46 to -0.01). Our findings imply anthropogenic landscape features may influence medium to large-sized mammal diel activities more than direct human presence. While increased nocturnality may be a promising mechanism for human-wildlife coexistence, shifts in temporal activity can also have negative repercussions for wildlife, warranting further research into the causes and consequences of wildlife responses to increasingly human-dominated landscapes.&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/DqLb3E_56uXTHDt0pUaYRiC4Dgz9n2LZhjaPYN4sI4I
<b>Storage size:</b> 1744449
<b>Visibility:</b> public
DOI: 10.5683/sp3/ryiiyq
title: Replication Data and Code for: A comment on Dincecco et al. (2022): Pre-colonial warfare and long-run development in India

description: The data and programs replicate tables and figures from "A comment on Dincecco et al. (2022): Pre-colonial warfare and long-run development in India", by Forshaw, Ölkers, Sethi, and Sovani. Please see the ReadMe file for additional details.

We test the reproducibility and replicability of Dincecco et al. (2022),
which reports a positive relationship between pre-colonial interstate warfare
and long-run development patterns across India. Overall, we confirm that all
of the study’s estimates are computationally reproducible using the provided
replication package in Stata, but note that the ease of replication could be
improved by the provision of code and intermediate datasets for the conflict
exposure measure. We test for and find no evidence of data manipulation in
the final datasets. Concerning direct replicability, we consider different ways
of measuring distance to conflicts and also alternative proxies for both the
dependent variable and variables which capture channels by which the main
effects operate. We find that some estimates are sensitive to the type of con-
flict considered. Other estimates are sensitive to the time period considered,
most likely due to time heterogeneity in the number of conflicts recorded.
Nevertheless, most estimates are substantially in line with the original study.
DOI: 10.5683/sp3/nxdx8h
title: Supplemental Material - Improving biosecurity on Ontario dairy farms: Exploring barriers to current knowledge translation and transfer delivery and how to best address these
title: Biosecurity on dairy farms: Improving KTT delivery

description: Supplemental material for a masters thesis. Materials included are demographic survey questions, interview guides, coding trees and the codebook.