cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5683/sp3/wcwpcm
title: Finding the undiscoverable: Evaluating access-limited Canadian data sources to improve discovery and access

description: While Canada continues to make strides towards improving the discovery of research data, many datasets with potential research value remain difficult to find and access due to their sensitive nature, or because custodians lack the infrastructure and/or resources to make them discoverable.

Portage’s Access-Limited Data Discovery Working Group was developed to identify and review access-limited data in Canada that may be used for research; this project defines access-limited data as those that are not immediately accessible or for which access or discovery is limited, including data which are conditionally available or lack infrastructure for discovery and access. At present, the working group is scoping the landscape of these data in Canada (with an initial focus on health data); identifying barriers to their discoverability and accessibility; and developing recommendations for a national approach to making access-limited data more discoverable. This session will provide an update on the group’s progress to date, and seek feedback from attendees on this ambitious cross-sector endeavour.
description: DLI National Virtual Training / Formation nationale virtuelle de l'IDD
DOI: 10.5683/sp3/qwfbuy
title: Historical Census Project: Canadian Census Data Discovery Partnership

description: This presentation seeks to build on the in-depth, collective expertise of the DLI community, and will also provide a brief update on the project. As key stakeholders implicated in the proposed Canadian Census data discovery portal, this DLI community discussion will provide valuable insights across a range of structured questions about what makes for good Census data discovery.

Thanks to the knowledge of the DLI community in terms of Census end-users, Census data and documentation, together with their access portals and uses, the feedback from this presentation will make a valuable contribution to the project and will help guide the development of Canadian Census data discovery portal proof-of concept.
description: DLI National Virtual Training / Formation nationale virtuelle de l'IDD
DOI: 10.5683/sp3/evhlgh
title: Overview of StatCan metadata initiatives

description: The presentation will cover the approach Statistics Canada is taking to manage metadata, including an overview of the standards and tools that will be used
description: DLI National Virtual Training / Formation nationale virtuelle de l'IDD
DOI: 10.5683/sp3/atadxp
title: Secondary Data Speed Dating: Discovering and using secondary data for research

description: Secondary Data Speed Dating is a whirlwind introductory level one hour presentation that covers: how to locate existing data or datasets on a topic of research: data repositories, open data portals, literature searches, Google; where to locate learning resources for working with secondary data or datasets; a very brief overview of the merits and challenges of working with secondary data instead of doing original research.
description: DLI National Virtual Training / Formation nationale virtuelle de l'IDD
DOI: 10.5683/sp3/bzkdic
title: Contacts and Alternates Survey Initial Results

description: Initial Results of the Professional Development Committee (PDC) Contacts and Alternates Survey
description: DLI National Virtual Training / Formation nationale virtuelle de l'IDD
DOI: 10.5683/sp3/qxge6d
title: DLI Strategic Review

description: Intergage results from consultation process are being used to develop a strategic plan. EAC co-chairs will provide DLI members with an update on the process.
description: DLI National Virtual Training / Formation nationale virtuelle de l'IDD
DOI: 10.21227/frjm-p711
title: "AEOS Scheduling Dataset with VTWs and Illumination Conditions"

description: "The dataset includes information about AEO satellite mission scheduling, including satellite ID, task ID, revisit count, visible time window start and end times, window duration, approaching time, satellite position, target direction relative to the satellite, solar direction, and cloud coverage."
DOI: 10.5683/sp3/irglhn
title: Distinct Brain Dynamics and Networks for Processing Short and Long Auditory Time Intervals

description: Psychophysical studies suggest that time intervals above and below 1.2 s are processed differently in the human brain. However, the neural underpinnings of this dissociation remain unclear. Here, we investigate whether distinct or common brain networks and dynamics support the passive perception of short (below 1.2 s) and long (above 1.2 s) empty time intervals. Twenty participants underwent an EEG recording during an auditory oddball paradigm with .8- and 1.6-s standard time intervals and deviant intervals either shorter (early) or longer (delayed) than the standard interval. We computed the auditory ERPs for each condition at the sensor and source levels. Then we performed whole brain cluster-based permutation statistics for the CNV, N1 and P2, components, testing deviants against standards. A CNV was found only for above 1.2 s intervals (delayed deviants), with generators in temporo-parietal, SMA, and motor regions. Deviance detection of above 1.2 s intervals occurred during the N1 period over fronto-central sensors for delayed deviants only, with generators in parietal and motor regions. Deviance detection of below 1.2 s intervals occurred during the P2 period over fronto-central sensors for delayed deviants only, with generators in primary auditory cortex, SMA, IFG, cingulate and parietal cortex. We then identified deviance related changes in directed connectivity using bivariate Granger causality to highlight the networks dynamics associated with above and below 1.2 s interval processing. These results suggest that distinct brain dynamics and networks support the perception of time intervals above and below 1.2 s.
DOI: 10.5683/sp3/pj96df
title: Don’t Panic! The Hitchhiker’s Guide to the DLI Training Repository

description: In the early 2000s, DLI-affiliated librarians created a repository to provide access to training materials created by and for the data community as a means of supporting knowledge transfer and dissemination. The repository has moved twice already in its 20-year lifespan, but it now needs to be moved again.

Best practices in metadata for discovery have changed dramatically over the last few decades, something that is readily apparent when searching the collection. After consultation with the DLI data community, it was determined that there was a desire not only for improved description, but for curated learning trajectories designed to support independent learning and development of data literacy skills.

This presentation will cover the progress and challenges of moving the DLI Training Repository. There will be a preview of the repository in its new home, Borealis.
description: DLI National Virtual Training / Formation nationale virtuelle de l'IDD
DOI: 10.5683/sp3/brrysv
title: Migrating ODESI to the national Borealis data repository

description: Since the launch of ODESI in 2008, academic libraries have supported the development of shared infrastructure for open discovery and access to important collections of Canadian social science survey data.

With the current migration of all metadata and data collections to the new national Borealis data repository, collaborative curation and best practices are migrating as well, leading to the development of new approaches, training, policies, and documentation, to support the ongoing deposit, curation, and preservation of data in the repository. This presentation will provide an overview of the repository migration project, updates to the search interface to support further integration with Borealis, and steps taken by the technical team and community-led committee to ensure a smooth transition for all ODESI end-users and library data stewards.
description: DLI National Virtual Training / Formation nationale virtuelle de l'IDD
DOI: 10.5683/sp3/g5wpy8
title: Data Management Plans in Canada - Status, Supports, and Services

description: This session offers participants an overview of the current status of data management plans (DMPs) in Canada, including requirements that are being set forth by the Tri-Agency as well as support available to stakeholders by way of resources and services.

Foundational information regarding the importance and benefits of DMPs, a general overview of their content, how they can support research projects, and what makes a ‘good’ DMP will be provided. A virtual tour of the freely available DMP Assistant service platform will be offered, including how to access and use it, its key features, and a glimpse into its future developments. Additionally, a range of freely available resources developed by the Digital Research Alliance of Canada’s DMP Expert Group (DMPEG) will be highlighted, including those that assist with guiding the development of DMPs, along with DMP templates and exemplars. A DMP assessment rubric that is currently in development, as well as future areas of focus of DMPEG, will additionally be discussed.
description: DLI National Virtual Training / Formation nationale virtuelle de l'IDD
DOI: 10.5683/sp3/c5k3co
title: Checking data integrity with the Damage utility

description: Introduce the Damage tool, a utility which creates file manifests in a variety of formats. We will draw on real-world examples to illustrate how Damage could be used in the DLI program to assure the integrity of downloaded files and to identify and fix issues in DLI-distributed data.
description: DLI National Virtual Training / Formation nationale virtuelle de l'IDD
DOI: 10.5683/sp3/biu6dk
title: The Basics of Data Integrity

description: We often talk about making data FAIR (findable, accessible, interoperable, and reusable), but what about data accuracy, reliability, and consistency?

Research data are constantly being moved through stages of collection, storage, transfer, archiving, and destruction. This movement comes at a cost, as files stored or transferred incorrectly may be unusable or incomplete. This session will cover the basics of data integrity, from collection to validation.
description: DLI National Virtual Training / Formation nationale virtuelle de l'IDD
DOI: 10.5683/sp3/bgqtdg
title: Global Media and Internet Concentration Project – Canada – Dataset 2022

description: The Canadian contribution and data set prepared as part of the Global Media and Internet Concentration (GMIC) project offers an independent academic, empirical and data-driven analysis of a deceptively simple yet profoundly important question: have telecom, media and internet markets become more concentrated over time, or less? Media Ownership and Concentration is presented from more than a dozen sectors of the telecom-media-internet industries, including film, music and book industries.

Note (22/01/2024):
Small editorial changes were made throughout the report to clean up and improve the text. Small revisions to the estimates of the internet advertising revenue for some Canadian firms were also made to reflect newly available data. Those revisions were small and have no consequences for the analysis. Figures 1, 23, 25, 37, 40 and 41 were revised to reflect these changes.
DOI: 10.5683/sp3/peob3n
title: Alexander Fleck House

description: Data on the Alexander Fleck House in Ottawa, Ontario
DOI: 10.5683/sp3/ador5c
title: Search strategy for Breakthrough invasive fungal infections on voriconazole and posaconazole prophylaxis: a systematic review

description: Ce jeu de données contient les stratégies de recherche pour les banques de données suivantes : MEDLINE (OVID), EMBASE (OVID), EBM Reviews (OVID), CINAHL Complete (EBSCO) et Google Scholar. Les concepts recherchés sont "hematopoietic stem cell transplantation", "invasive fungal infections", "antifungal agents" et "prophylaxis". La recherche [finale] a été effectuée le 19 avril 2023.
DOI: 10.5683/sp3/4gzs1x
title: Replication Data for "Nanocolloidal hydrogel mimics the structure and nonlinear mechanical properties of biological fibrous networks"

description: Data to replicate the structural characterization in Prince E. et al, PNAS (2023).
DOI: 10.5683/sp3/ura3f7
title: Specific heat data in GaAs/AlGaAs at 5/2 filling fraction: 20200627 data set

description: Each data set name incorporates the date in which the data was acquired. There are a total of 6 data sets as shown in the table below (the current one, 20200627, is part of it). In each data set there is a series of txt files (usually 30, current one has only 29) that contain relevant information about the dataset such as the magnetic field (both relative B* and absolute values), the FQH state as well as a table with the raw data file names and the corresponding quantities of interest (input square wave DC offset + amplitude in Volts, set temperature in Kelvin, mean/uncertainty of/in temperature in Kelvin, signal samples - averaging, resistor values in Ohms, gain, frequency in Hertz, time stamp and time difference between each acquisition in seconds). The name of these information files is composed of the date in which the data set was acquired, the cooldown number, the sample name/number and the conductance (G) followed by the file number (increment of 1). Furthermore, each data set contains all the raw data save in txt files (usually 570, current one only has 290). The name of each file begins with Zurich (ZH) is followed be the cooldown number, the date in which the dataset was acquired, the row number of the data matrix (for each new thermal bath - dilution refrigerator temperature) and the column number of the data matrix (for each different input voltage - i.e. square wave DC offset + amplitude at the same thermal bath - dilution refrigerator temperature). Each raw data file contains 2 columns. The first column is the time in seconds. The second column is the voltage drop across the sensing 1 kilo Ohm resistor in Volts (which translates to current across the Corbino device). This is the raw response (to the bipolar square wave input) of the 2D electron gas (2DEG) measured by the Zurich digitizer.

Raw data to download: ZH-20C1-0627-1-00000.txt up to ZH-20C1-0627-29-00009.txt (290 files in total).
DOI: 10.5683/sp3/3nj8jx
title: Specific heat data in GaAs/AlGaAs at 5/2 filling fraction: 20200815 data set

description: Each data set name incorporates the date in which the data was acquired. There are a total of 6 data sets as shown in the table below (the current one, 20200815, is part of it). In each data set there is a series of txt files (current one has 30) that contain relevant information about the dataset such as the magnetic field (both relative B* and absolute values), the FQH state as well as a table with the raw data file names and the corresponding quantities of interest (input square wave DC offset + amplitude in Volts, set temperature in Kelvin, mean/uncertainty of/in temperature in Kelvin, signal samples - averaging, resistor values in Ohms, gain, frequency in Hertz, time stamp and time difference between each acquisition in seconds). The name of these information files is composed of the date in which the data set was acquired, the cooldown number, the sample name/number and the conductance (G) followed by the file number (increment of 1). Furthermore, each data set contains all the raw data save in txt files (current one has 570). The name of each file begins with Zurich (ZH) is followed be the cooldown number, the date in which the dataset was acquired, the row number of the data matrix (for each new thermal bath - dilution refrigerator temperature) and the column number of the data matrix (for each different input voltage - i.e. square wave DC offset + amplitude at the same thermal bath - dilution refrigerator temperature). Each raw data file contains 2 columns. The first column is the time in seconds. The second column is the voltage drop across the sensing 1 kilo Ohm resistor in Volts (which translates to current across the Corbino device). This is the raw response (to the bipolar square wave input) of the 2D electron gas (2DEG) measured by the Zurich digitizer.

Raw data to download: ZH-20C1-0815-1-00000.txt up to ZH-20C1-0815-30-00018.txt (570 files in total).
DOI: 10.5683/sp3/ud9d1y
title: Leaf habit affects the distribution of drought sensitivity but not water transport efficiency in the tropics

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;Considering the global intensification of aridity in tropical biomes due to climate change, we need to understand what shapes the distribution of drought sensitivity in tropical plants. We conducted a pantropical data synthesis representing 1117 species to test whether xylem-specific hydraulic conductivity (K&lt;sub&gt;S&lt;/sub&gt;), water potential at leaf turgor loss (Ψ&lt;sub&gt;TLP&lt;/sub&gt;), and water potential at 50% loss of K&lt;sub&gt;S&lt;/sub&gt; (ΨP50) varied along climate gradients. The Ψ&lt;sub&gt;TLP&lt;/sub&gt; and ΨP&lt;sub&gt;50&lt;/sub&gt; increased with climatic moisture only for evergreen species, but K&lt;sub&gt;S&lt;/sub&gt; did not. Species with high Ψ&lt;sub&gt;TLP&lt;/sub&gt; and Ψ&lt;sub&gt;P50&lt;/sub&gt; values were associated with both dry and wet environments. However, drought-deciduous species showed high Ψ&lt;sub&gt;TLP&lt;/sub&gt; and ΨP&lt;sub&gt;50&lt;/sub&gt; values regardless of water availability whereas evergreen species only in wet environments. All three traits showed a weak phylogenetic signal and a short half-life. These results suggest that environmental controls on trait variance, which in turn is modulated by leaf habit along climatic moisture gradients in the tropics.&lt;/p&gt;
description: <b>Dryad version number:</b> 4
<b>Version status:</b> submitted
<b>Dryad curation status:</b> Published
<b>Sharing link:</b> https://datadryad.org/stash/share/SFnL-SZllcSp1oEkxzhNKG7jaZcR4eO9XBS80YhSEXI
<b>Storage size:</b> 2406512
<b>Visibility:</b> public
DOI: 10.5683/sp3/eivreh
title: Replication Data for: Effect of Human Attachment Style on Horse Behaviour and Physiology during Equine-Assisted Activities–A Pilot Study

description: The objective of this research was to assess the effect of the attachment style of at-risk adolescents on the horse physiology and behaviour during a typical EFL program.
DOI: 10.5683/sp3/pyh6sw
title: Dataset: Parkinson, E.W., et al. (2023) Multiproxy bioarchaeological data reveals interplay between growth, diet and population dynamics across the transition to farming in the central Mediterranean.

description: Datasets used in the following publication: Parkinson, E.W., Stoddart, S., Sparacello, V., Bertoldi, F., Fonzo, O., Malone, C., Marini, E., Martinet. F., Moggi‑Cecchi, J., Pacciani, E., Raiteri, L., and J.T. Stock (2023) Multiproxy bioarchaeological data reveals interplay between growth, diet and population dynamics across the transition to farming in the central Mediterranean. Sci Rep 13, 21965. https://doi.org/10.1038/s41598-023-49406-5
DOI: 10.5683/sp3/nkdp1i
title: Replication Data for: The Effect of the COVID-19 Pandemic on Riding Lesson Barns and Summer Camps in Ontario

description: To gather insight on how various lesson barns have responded to this pandemic
and the changing circumstances surrounding it, an online survey was used to gather qualitative data regarding riding lesson programs and day camps in Ontario.
DOI: 10.5683/sp3/0rylao
title: Replication Data for: Human Ability to Determine Affective States in Domestic Horse Whinnies

description: The aim of this study was to examine the ability of humans to recognize positive and negative affective states in horse whinnies from known contexts.
DOI: 10.5683/sp3/j3enu3
title: Matériel_Supplémentaire_Thèse_AC_2023

description: Matériel supplémentaire de la thèse de Antoine Champie, déposée en 2023
DOI: 10.5683/sp3/yifxfm
title: Replication Data for: The Landscape of Family Medicine in India

description: De-identified survey results from the "Landscape of Family Medicine in India" survey administered to family physicians in India who were members of the Academy of Family Physicians. A respondent-driven sampling approach was used to increase our reach. The survey was administered between November 2020 and March 2021
DOI: 10.5683/sp3/wzjxrn
title: Canadian Dataverse Admin Survey - Institutional (2023)

description: &lt;p&gt;The Canadian Dataverse Admin Survey - Instituitonal (2023) was conducted to gain insight into the growing community of Canadian Dataverse Collection Administrators—librarians or other institutional staff members who manage an institutional Dataverse collection (or repository) and provide support to the members of their designated local research community.&lt;br&gt;
The Principal Investigators (PIs) of the study are Meghan Goodchild, PhD (Queen’s University / Scholars Portal) and Alisa Rod, PhD (McGill University), who lead the “Canadian Dataverse Administrators Survey Working Group,” a subgroup of the Dataverse North Expert Group of the Digital Research Alliance of Canada. Working Group members include: Shahira Khair (University of Victoria), Danica Evering (McMaster University), Alexander Jerabek (Université du Québec à Montréal), Tara Stieglitz (MacEwan University), Lacey Cain (Carleton University), and Lina Marie Harper (Digital Research Alliance of Canada), with support from John Huck (University of Alberta) and Amber Leahey (Scholars Portal). &lt;br&gt;
This dataset contains a README file (TXT), documentation (PDFs), the de-identified quantiative dataset (CSV), R markdown notebook scripts to produce the figures (RMD), and the de-identified qualitative responses and analysis codes (XLSX), as well as codebooks for each qualitative question (XLSX). 
&lt;br&gt;
&lt;br&gt;
Le sondage sur les administrateur(trice)s du Dataverse canadien – Établissements (2023) a été menée pour étudier sur la communauté grandissante des administrateur(trice)s du Dataverse canadien, soit les bibliothécaires et autres membres du personnel qui gèrent une collection Dataverse institutionnelle (ou un dépôt) et fournissent du soutien aux membres de leur communauté de recherche locale désignée. &lt;br&gt;
Les chercheuses principales du sondage sur les administrateur(trice)s du Dataverse canadien sont Meghan Goodchild, Ph. D. (Université Queen’s/Scholars Portal) et Alisa Rod, Ph. D. (Université McGill), qui dirigent le « groupe de travail sur le sondage sur les administrateur(trice)s du Dataverse canadien », un sous-groupe du groupe d’experts sur Dataverse Nord de l’Alliance de recherche numérique du Canada. Les membres du groupe de travail sont Lacey Cain (Université Carleton), Danica Evering (Université McMaster), Lina Marie Harper (Alliance de recherche numérique du Canada), Alexander Jerabek (Université du Québec à Montréal), Shahira Khair (Université de Victoria) et Tara Stieglitz (Université MacEwan), avec le soutien de John Huck (Université de l’Alberta) et d’Amber Leahey (Scholars Portal).
&lt;br&gt;
Cet ensemble de données contient un fichier README (TXT), de la documentation (PDF), l'ensemble de données quantitatives dépersonnalisées (CSV), les scripts R markdown notebook pour produire les figures (RMD), les réponses qualitatives dépersonnalisées et les codes d'analyse (XLSX, ainsi que les livres de codes pour chaque question qualitative (XLSX).
&lt;/p&gt;
description: Qualtrics
DOI: 10.5281/zenodo.17657439
title: 7-Tage-Inzidenz der COVID-19-Fälle in Deutschland

description: Im Datensatz "7-Tage-Inzidenz der COVID-19-Fälle in Deutschland" des Robert Koch-Instituts werden die täglich aktualisierten COVID-19-Inzidenzen auf Bundes-, Landes- und Landkreisebene basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Die 7-Tage-Inzidenz wird definiert als Anzahl gemeldeter Fälle der letzten sieben Tage pro 100.000 Einwohner:innen und differenziert nach Altersgruppen und Regionen. Die Datenverarbeitung erfolgt vollständig elektronisch über das Deutsche Elektronische Melde- und Informationssystem (DEMIS).