<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"><channel><title>New data in ODESI</title><description>Odesi contains over 6,100 datasets for the social sciences, with more than 37,700 additional dataset descriptions available for searching.</description><link>https://odesi.ca</link><image><title>odesi logo</title><link>https://odesi.ca</link><url>https://odesi.ca/assets/img/logo.svg</url></image><item><title>Canadian Election Study, 2025</title><guid>/odesi/doi__10-5683_SP4_SSIISF.xml</guid><link>http://odesi.ca/en/details?id=/odesi/doi__10-5683_SP4_SSIISF.xml</link><description>The 2025 Canadian Election Study (CES) was conducted to document the attitudes of Canadians during and after the 2025 election. It continues the tradition of Canadian Election Studies started in 1965.
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&lt;b&gt;Content Advisory&lt;/b&gt;: Some datasets available through Odesi, including those containing open-ended survey responses, may include language or perspectives that users may find offensive, harmful, or outdated. This content reflects the social, cultural, and historical context in which the data were collected and is preserved in its original, unaltered form to maintain the integrity and research value of the record. While efforts are made to use respectful and inclusive language in accompanying metadata and documentation, the underlying data may not reflect current standards. Odesi is committed to providing context to support informed and critical use of these materials.
&lt;/p&gt;</description><pubDate>2026-10-06</pubDate></item><item><title>Democracy Checkup, 2025 [Canada]</title><guid>/odesi/doi__10-5683_SP4_UZFAG3.xml</guid><link>http://odesi.ca/en/details?id=/odesi/doi__10-5683_SP4_UZFAG3.xml</link><description>Democracy Checkup surveys gather information about the opinions of Canadians when election campaigns are not activating their interest and/or partisan attitudes, and capture general public opinion about democratic values, public policies, and current issues. &lt;br&gt;
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&lt;b&gt;Content Advisory:&lt;/b&gt; Some datasets available through Odesi, including those containing open-ended survey responses, may include language or perspectives that users may find offensive, harmful, or outdated. This content reflects the social, cultural, and historical context in which the data were collected and is preserved in its original, unaltered form to maintain the integrity and research value of the record. While efforts are made to use respectful and inclusive language in accompanying metadata and documentation, the underlying data may not reflect current standards. Odesi is committed to providing context to support informed and critical use of these materials. &lt;br&gt;</description><pubDate>2026-10-06</pubDate></item><item><title>CV</title><guid>/dataverse_sp/doi__10-5683_SP4_THHPCW.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_THHPCW.xml</link><description>CV_Dr. Gustavo Saposnik</description><pubDate>2026-10-06</pubDate></item><item><title>Affective Priming for Pro-Vaccine and Vaccine-Hesitant Individuals</title><guid>/dataverse_sp/doi__10-5683_SP3_K44YV8.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_K44YV8.xml</link><description>This dataset contains reaction time data for an affective priming task where participants were asked to respond to pleasant, unpleasant, and COVID-19 related words. 40 participants who are self-described native English speakers and self-identify as vaccine-hesitant or pro-vaccination are included.</description><pubDate>2026-10-06</pubDate></item><item><title>Search strategies for mapping the impact of program evaluation for community action organizations in Quebec / Stratégies de recherche pour la cartographie des retombées de l'évaluation de programmes pour les organismes d'action communautaire du Québec</title><guid>/dataverse_sp/doi__10-5683_SP3_5YU8RH.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_5YU8RH.xml</link><description>Ce jeu de données contient les stratégies de recherche pour Social Sciences Abstracts (EBSCO), Social Services Abstracts (ProQuest), Sociological Abstracts (ProQuest) et Web of Science Core Collection (SSCI). Quand on les exécute dans leurs bases de données respectives, ces stratégies repêchent les articles sur, inclusivement, les concepts d'évaluation et d'organismes communautaires. Le nombre de résultats et les stratégies de recherche pour chaque base de données sont indiqués dans le fichier rtf. Les recherches ont été effectuées le 29 octobre 2025. Une mise à jour a été effectuée le 28 septembre 2026.</description><pubDate>2026-10-06</pubDate></item><item><title>CITF Study-Specific Dataset DOI Inventory – Release v1.0</title><guid>/dataverse_sp/doi__10-5683_SP4_FXN4G8.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_FXN4G8.xml</link><description>&lt;p&gt;This dataset provides the complete inventory of study-specific dataset records associated with the 53 contributing studies included in the COVID-19 Immunity Task Force (CITF) Databank Release v1.0, frozen in February 2026.&lt;/p&gt;

&lt;p&gt;For each contributing study, the inventory provides the study acronym, principal investigator or investigators, full study name, study design, primary population, DOI publication status, DOI and persistent URL, published Borealis dataset title, publication date, version, and recommended citation, where available.&lt;/p&gt;

&lt;p&gt;This inventory supports the CITF Databank Data Descriptor and provides a persistent reference for the study-specific dataset records summarized in Table 2 of the manuscript. It replaces the previously planned Supplementary Table S3.&lt;/p&gt;

&lt;p&gt;No individual-level participant data are included in this deposit. Studies without a publicly available Borealis DOI at the time of verification are identified as “Not publicly published.” Access to controlled individual-level datasets requires submission of a formal data access request through the CITF Data Access Office.&lt;/p&gt;

&lt;p&gt;Some study-specific records were published in Borealis after the February 2026 data freeze. These later publication dates reflect the timing of metadata preparation and DOI registration and do not indicate that the underlying data in Release v1.0 were subsequently added or modified.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;DOI availability and publication status were verified as of 26 September 2026.&lt;/strong&gt;&lt;/p&gt;</description><pubDate>2026-10-06</pubDate></item><item><title>Seasonal Porewater and Surface Water Sampling at Muddy Pond Wetland</title><guid>/dataverse_sp/doi__10-5683_SP4_ZUCQLF.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_ZUCQLF.xml</link><description>This dataset includes porewater and surface water data collected seasonally at a legacy gold mine tailing impacted wetland called Muddy Pond. Muddy Pond is located in the Waverley historical gold mining district in Nova Scotia. Sediment and water at Muddy Pond contain high concentrations of both arsenic (As) and mercury (Hg). This year-long study investigated seasonal contaminant dynamics across three sediment redox zones: dry, fluctuating water, and permanently shallow water.</description><pubDate>2026-10-06</pubDate></item><item><title>AHMA - 2006 Census of Canada - Selected Characteristics of Census Households for Indigenous Housing Need - British Columbia at the Census Division (CD) and Census Subdivision (CSD) level [custom tabulation]</title><guid>/dataverse_sp/doi__10-5683_SP4_ILYNT6.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_ILYNT6.xml</link><description>&lt;p&gt;For more information, please visit www.ahma-bc.org. &lt;/p&gt;

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&lt;h3&gt;Aboriginal Housing Management Association (AHMA)&lt;/h3&gt;
&lt;/p&gt;

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This dataset contains five files representing two custom-ordered tables from Statistics Canada covering the &lt;b&gt;2006&lt;/b&gt; Census of Canada. Three of the files contain data for the province of BC, census division, and census subdivision for the specifications in "Table 5" below, while the other two files have the same geographies but with data corresponding to "Table 6" below.
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This is part of a larger order of a total 17 files from 6 tables covering the 2021, 2016, and 2006 censuses. The tables were ordered to support and populate the Indigenous-led Housing Needs Assessment Tool (IHNAT).
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The tables contain data on Indigenous identity of the Primary Household Maintainer (PHM) cross-tabulated with core housing need indicators, tenure, household characteristics and dwelling characteristics, for private households in British Columbia. Each census year is represented by two complementary tables: one table combining housing indicators with tenure, household and dwelling characteristics, and a second table combining housing indicators with income-to-AMHI ranges, mobility status, age of the PHM and additional household characteristics. Due to file size limitations, several tables are split across multiple geography-based parts (e.g., BC and CSDs vs. census divisions), and for the 2021 Census, the second table is further split into geographies below and at/above 100,000 population, since a household-level gender diversity indicator is only released for larger populations.
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&lt;p&gt;The dataset is in Beyond 20/20 (&lt;i&gt;.ivt&lt;/i&gt;) format.</description><pubDate>2026-10-06</pubDate></item><item><title>Long-term monitoring of macroalgal biodiversity in Stanley Park, Vancouver, British Columbia</title><guid>/dataverse_sp/doi__10-5683_SP3_IKGB6E.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_IKGB6E.xml</link><description>&lt;p&gt;The sampling was started by Varoon P. Supratya and Siobhan Schenk.&lt;/p&gt;
&lt;p&gt;Starting in September 2025, Evan Kohn, who has been very involved with the transects since 2023, is now co-leading the project.&lt;/p&gt;
Macroalgae are marine foundation species in intertidal ecosystems, but
data regarding their historical abundance, diversity, and phenology
remains lacking in many regions, including British Columbia.&lt;/p&gt;
&lt;p&gt;This absence of historical baselines may hinder assessments of how
macroalgae are affected by anthropogenic stressors, such as extreme
weather events (e.g., 2021 heat dome) or invasive species. Obtaining
baseline data may be especially important for urban intertidal zones,
where the impact of increasing anthropogenic stressors is
underappreciated.&lt;/p&gt;
&lt;p&gt;To fill this data gap, they started a collaborative long-term survey
in 2021 to document year-round macroalgal biodiversity in a highly
biodiverse urban intertidal zone around the Girl in a Wetsuit Statue in
Stanley Park, Vancouver, British Columbia, Canada (49.30275394688415, -123.12643462372476).&lt;/p&gt;

For easy data visualization, the &lt;a href = "https://siobhanschenk.shinyapps.io/seaweed_transects_gw/", target="_blank"&gt;Shiny app linked here &lt;/a&gt; may be useful, but we strongly recommend doing your own data analysis. Please cite the Borealis dataset and/or the associated publication, not the Shiny app.</description><pubDate>2026-10-06</pubDate></item><item><title>Replication Data for:  Fuel station network contraction in the Mid-Transition alters internal combustion vehicle operability across Alberta</title><guid>/dataverse_sp/doi__10-5683_SP4_AEUUZG.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_AEUUZG.xml</link><description>Description: As single occupancy vehicles transition from gas powered to electric the demand for gasoline will decrease and gas stations will close.  This study examines the excess distance that an internal combustion vehicle driver must travel in order to refuel when travelling within cities in Alberta.  The geographic data separates Alberta into approximately 3000 zones plus a separate file includes the location of gas stations in Alberta.  The data also includes the average number of daily trips taken between the zones.  Result data that forms the figures in the paper is also included.</description><pubDate>2026-10-06</pubDate></item><item><title>Data and stimuli for "Bowed air columns and blown plates: Odd combinations of excitation mechanisms and resonant structures impact perception"</title><guid>/dataverse_sp/doi__10-5683_SP3_TTZJXS.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_TTZJXS.xml</link><description>Data and stimuli for the resemblance ratings of typically and atypically combined excitations and resonators to: three excitation categories (experiment 1) and three resonator categories (experiment 2).</description><pubDate>2026-10-06</pubDate></item><item><title>Impact of hand position on force-time characteristics during spinal manipulation and mobilization: an observational study</title><guid>/dataverse_sp/doi__10-5683_SP4_SFKT6C.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_SFKT6C.xml</link><description>This dataset presents information related to a repeated-measures observational study examining the effect of hand position on the force-time characteristics of thoracic posterior-to-anterior spinal manipulation and spinal mobilization. The goal of the study was to compare three hand positions commonly taught in chiropractic education (thenar bilateral, crossed bilateral hypothenar and reinforced unilateral hypothenar) and to assess the between-session reliability of force-time characteristics among chiropractic interns. Ten interns in the final year of the chiropractic program completed two identical sessions approximately one week apart between May and August 2022. During each session, participants performed 10 spinal manipulations and 10 spinal mobilizations for each hand position on a human-analog manikin positioned on a treatment table equipped with a force platform (2,000 Hz), for a total of 1,200 trials. The final dataset includes: (1) the force-time characteristics of each spinal manipulation trial (peak force, force amplitude, thrust duration, rate of force application, peak preload force, release force); (2) the force-time characteristics of each spinal mobilization trial (peak force, duration, frequency). The data are quantitative in nature and provide a foundation for improving the teaching of manual therapy techniques, the consistency of force delivery and patient safety in chiropractic education. // Ce jeu de données présente les informations liées à une étude observationnelle à mesures répétées portant sur l'effet de la position des mains sur les caractéristiques force-temps de la manipulation et de la mobilisation vertébrales thoraciques postéro-antérieures.L'objectif de l'étude était de comparer trois positions de mains couramment enseignées en formation chiropratique (thénar bilatérale transverse, hypothénar bilatérale croisée et hypothénar unilatérale renforcée) et d'évaluer la fidélité inter-sessions des caractéristiques force-temps chez des internes en chiropratique. Dix internes en dernière année du programme de chiropratique ont complété deux sessions identiques à environ une semaine d'intervalle, entre mai et août 2022. Lors de chaque session, les participantes et participants ont réalisé 10 manipulations et 10 mobilisations vertébrales pour chaque position de mains sur un mannequin anthropomorphique placé sur une table de traitement munie d'une plateforme de force (2 000 Hz), pour un total de 1 200 essais. Le jeu de données final comprend : (1) les caractéristiques force-temps de chaque essai de manipulation vertébrale (force maximale, amplitude de force, durée de l’impulsion, taux d'application de la force, force de mise en tension, force de relâchement) ; (2) les caractéristiques force-temps de chaque essai de mobilisation vertébrale (force maximale, durée, fréquence). Les données recueillies sont de nature quantitative et constituent une base pour améliorer l'enseignement des techniques de thérapie manuelle, la constance de l'application de la force et la sécurité des patients en formation chiropratique.Ethical considerations prevent this dataset from being publicly available. The participants did not consent to having their depersonalized data shared openly. You may click on the "Contact owner" button to request access under specific conditions.Des considérations éthiques empêchent la mise à disposition publique de ce jeu de données. En effet, les participantes et participants n'ont pas consenti à ce que leurs données dépersonnalisées soient rendues accessibles publiquement. Vous pouvez cliquer sur « Contacter le ou la propriétaire » pour en faire la demande, sous certaines conditions.</description><pubDate>2026-10-06</pubDate></item><item><title>Search Strategies: Bladder stimulation versus transurethral catheterization for collecting clean urine samples in children with suspected urinary tract infection</title><guid>/dataverse_sp/doi__10-5683_SP4_VN7IML.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_VN7IML.xml</link><description>The notes field contains the Ovid MEDLINE search strategy for: Bladder stimulation versus transurethral catheterization for collecting clean urine samples in children with suspected urinary tract infection The files in this dataset contains the full searches from Medline, Embase, Scopus, CINAHL, JBI, Global Health, and PsycINFO as run on October 5, 2026, as well as the RIS files (by request)</description><pubDate>2026-10-06</pubDate></item><item><title>Search strategy for "Perceptions and Contextual Factors Influencing Consideration of Living Donor Liver Transplantation Among  Liver Transplant Candidates and Their Caregivers: A Scoping Review"</title><guid>/dataverse_sp/doi__10-5683_SP4_SUI9UA.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_SUI9UA.xml</link><description>Le jeu de données contient une stratégie de recherche pour les banques de données suivantes : MEDLINE (OVID), EMBASE (OVID), PsycInfo (OVID), CINAHL Complete (EBSCO), Scopus (Elsevier) et Google Scholar. Les concepts recherchés sont living donors, liver transplant, patient and caregiver perceptions. La recherche [finale] a été effectuée le 25 septembre 2026.</description><pubDate>2026-10-06</pubDate></item><item><title>Grasping Under Target Size and Location Uncertainty</title><guid>/dataverse_sp/doi__10-5683_SP4_5OITGH.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_5OITGH.xml</link><description>The final processed dataset used during analysis and the R script code used for preprocessing the 3D position data into grip aperture and hand position. For more information, please refer to the README file and the related article: Grasping Under Target Size and Location Uncertainty (Kevin A. LeBlanc, Anne T.D. Lacroix, Jada A. Benwell, McKenna Grant, Brett B.T. Feltmate, Heather F. Neyedli)</description><pubDate>2026-10-06</pubDate></item><item><title>Biliteracy &amp; Cross-Linguistic Transfer in Nigerian IDP Camps (AREAI-LANG) - R Script</title><guid>/dataverse_sp/doi__10-5683_SP4_ZEXVXG.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_ZEXVXG.xml</link><description>R script for manuscript titled "Examining Biliteracy and Bidirectional Cross-Linguistic Transfer in a Low Literacy and Multilingual Context: Insights from Internally Displaced Children in Northeast Nigeria"</description><pubDate>2026-10-06</pubDate></item><item><title>The impact of national health insurance on health services utilization in the Lao People's Democratic Republic</title><guid>/dataverse_sp/doi__10-5683_SP4_RYRFZU.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_RYRFZU.xml</link><description>The repository contains analysis code, statistical outputs, and figures supporting the article, “The impact of national health insurance on health services utilization in Lao People’s Democratic Republic (Lao PDR).”</description><pubDate>2026-10-06</pubDate></item><item><title>Supplementary Data and Models for Li, Na, and K Cations and Bisulfide Anion in Aqueous Solutions</title><guid>/dataverse_sp/doi__10-5683_SP4_OQCRJN.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_OQCRJN.xml</link><description>Quantum chemical data utilized in characterizing aqueous species for rationalizing [Fe-S]-maquette formation during the reductive dissolution of pyrite mineral.
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The interaction of the counterions (M&lt;sup&gt;+&lt;/sup&gt;&lt;sub&gt;(aq)&lt;/sub&gt;, where M = Li, Na, K) and high levels of HS&lt;sup&gt;–&lt;/sup&gt;&lt;sub&gt;(aq)&lt;/sub&gt; were investigated using a set of density functionals that included representative set of advanced hybrid functionals with generalized-gradient approximations, varying amount of Hartree-Fock exchange and dispersion corrections: wB97xD, cam-B3LYP+D3BJ, MN15, OmPW1PBE, PBE, and PBE0. In all calculations, we employed the Ahlrich all-electron basis set def2-TZVP supplemented with polarization functions on both the H-s and the heavy atoms, as well as a single set of diffuse functions in order to describe the ground and excited states of anionic species. For the accurate representation of the aqueous solvation, we converged a model series for each cation/anion pairs models with gradually increased number of explicit water solvent molecules. All structures were embedded into a polarizable continuum model (SMD) with published water parameters for long-range electrostatic and local non-electrostatic implicit solvation interactions. 
&lt;p&gt;&lt;p&gt;
The equilibrium ground state structures of HS&lt;sup&gt;–&lt;/sup&gt;/M&lt;sup&gt;+&lt;/sup&gt; hexaaquo ions, (H&lt;sub&gt;2&lt;/sub&lt;O)&lt;sub5&lt;/sub&gt;M&lt;sup&gt;+&lt;/sup&gt;SH&lt;sup&gt;–&lt;/sup&gt;(H&lt;sub&gt;2&lt;/sub&gt;O)&lt;sub&gt;4&lt;/sub&gt; ion pairs, and (H&lt;sub&gt;2&lt;/sub&gt;O)&lt;sub&gt;5&lt;/sub&gt;M&lt;sup&gt;+&lt;/sup&gt;SH&lt;sup&gt;–&lt;/sup&gt;(H&lt;sub&gt;2&lt;/sub&gt;O) ion adducts were included. 
&lt;p&gt;
The electronic absorption spectra were calculated using the time-dependent formalism building on the first 10, electric-dipole allowed excited states that gives experimentally detectable absorption bands. The simulated UV/visible spectra were generated by employing 15 nm bandwidth at half peak height. 
&lt;p&gt;
All computational results were visualized and plotted using ChemCraft 1.8.
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The presented density functional theory calculations show that the 230 nm band originates from HS–(aq) and cation interactions regardless whether we chose the highly hypothetical gas phase model that provides the best case scenario for donor/acceptor interactions due to maximal covalent cation/SH anion interaction or the realistic solvated model for ion pairs or ion adducts that cause non-ideality of aqueous solutions already in the mM range or water molecules are inserted in between the cation and the anion as in the ion adducts, respectively. The presence of counterions that are non-covalently bound in the ion adducts acts as a positive potential around the HS&lt;sup&gt;–&lt;/sup&gt;&lt;sub&gt;(aq)&lt;/sub&gt;. This pulls away, distorts, and polarizes the electron density, and consequently weakens the S–H bond as it’s pK&lt;sub&gt;a&lt;/sub&gt; value lowers. Along this weakening, the S 3p&lt;sup&gt;z&lt;/sup&gt; – H 1s covalent interaction lessens and thus the splitting between the sigma/sigma* orbitals will decrease; hence S lone pair to S–H sigma* transitions move to lower energy as they red shift. The solvated HS&lt;sup&gt;–&lt;/sup&gt;&lt;sub&gt;(aq)&lt;/sub&gt; has absorption features, but not at 230 nm. Therefore, we can conclude that perturbations to the bisulfide electronic structure in the presence of counterion interactions will be responsible for lowering the absorption energy toward longer wavelengths as observed experimentally.</description><pubDate>2026-10-06</pubDate></item><item><title>AHMA - 2021 Census of Canada - Selected Characteristics of Census Households for Indigenous Housing Need - British Columbia at the Census Division (CD) and Census Subdivision (CSD) level [custom tabulation]</title><guid>/dataverse_sp/doi__10-5683_SP4_FORHWF.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_FORHWF.xml</link><description>&lt;p&gt;For more information, please visit www.ahma-bc.org. &lt;/p&gt;

&lt;p&gt;
&lt;h3&gt;Aboriginal Housing Management Association (AHMA)&lt;/h3&gt;
&lt;/p&gt;

&lt;p&gt;
This dataset contains 7 files representing two custom-ordered tables from Statistics Canada covering the &lt;b&gt;2021&lt;/b&gt; Census of Canada. Three of the files contain data for the province of BC, census division, and census subdivision for the specifications in "Table 1" below, while the other four files have the same geographies but with data corresponding to "Table 2" below.
&lt;/p&gt;
&lt;p&gt;
This is part of a larger order of a total 17 files from 6 tables covering the 2021, 2016, and 2006 censuses. The tables were ordered to support and populate the Indigenous-led Housing Needs Assessment Tool (IHNAT).
&lt;/p&gt;
&lt;p&gt;
The tables contain data on Indigenous identity of the Primary Household Maintainer (PHM) cross-tabulated with core housing need indicators, tenure, household characteristics and dwelling characteristics, for private households in British Columbia. Each census year is represented by two complementary tables: one table combining housing indicators with tenure, household and dwelling characteristics, and a second table combining housing indicators with income-to-AMHI ranges, mobility status, age of the PHM and additional household characteristics. Due to file size limitations, several tables are split across multiple geography-based parts (e.g., BC and CSDs vs. census divisions), and for the 2021 Census, the second table is further split into geographies below and at/above 100,000 population, since a household-level gender diversity indicator is only released for larger populations.
&lt;/p&gt;

&lt;p&gt;The dataset is in Beyond 20/20 (&lt;i&gt;.ivt&lt;/i&gt;) format.</description><pubDate>2026-10-06</pubDate></item><item><title>AHMA - 2016 Census of Canada - Selected Characteristics of Census Households for Indigenous Housing Need - British Columbia at the Census Division (CD) and Census Subdivision (CSD) level [custom tabulation]</title><guid>/dataverse_sp/doi__10-5683_SP4_2S94GM.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_2S94GM.xml</link><description>&lt;p&gt;For more information, please visit www.ahma-bc.org. &lt;/p&gt;

&lt;p&gt;
&lt;h3&gt;Aboriginal Housing Management Association (AHMA)&lt;/h3&gt;
&lt;/p&gt;

&lt;p&gt;
This dataset contains five files representing two custom-ordered tables from Statistics Canada covering the &lt;b&gt;2016&lt;/b&gt; Census of Canada. Three of the files contain data for the province of BC, census division, and census subdivision for the specifications in "Table 3" below, while the other two files have the same geographies but with data corresponding to "Table 4" below.
&lt;/p&gt;
&lt;p&gt;
This is part of a larger order of a total 17 files from 6 tables covering the 2021, 2016, and 2006 censuses. The tables were ordered to support and populate the Indigenous-led Housing Needs Assessment Tool (IHNAT).
&lt;/p&gt;
&lt;p&gt;
The tables contain data on Indigenous identity of the Primary Household Maintainer (PHM) cross-tabulated with core housing need indicators, tenure, household characteristics and dwelling characteristics, for private households in British Columbia. Each census year is represented by two complementary tables: one table combining housing indicators with tenure, household and dwelling characteristics, and a second table combining housing indicators with income-to-AMHI ranges, mobility status, age of the PHM and additional household characteristics. Due to file size limitations, several tables are split across multiple geography-based parts (e.g., BC and CSDs vs. census divisions), and for the 2021 Census, the second table is further split into geographies below and at/above 100,000 population, since a household-level gender diversity indicator is only released for larger populations.
&lt;/p&gt;

&lt;p&gt;The dataset is in Beyond 20/20 (&lt;i&gt;.ivt&lt;/i&gt;) format.</description><pubDate>2026-10-06</pubDate></item><item><title>Probing universal correlates of human same-sex sexual orientation: A study in Iran</title><guid>/dataverse_sp/doi__10-5683_SP4_ASVWWU.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_ASVWWU.xml</link><description>This dataset contains research data collected as part of the project Probing Universal Correlates of Human Same-Sex Sexual Orientation: A Study in Iran. The project investigated developmental, psychological, behavioral, and other correlates of same-sex sexual orientation among adults in Iran.

The dataset may include multiple files corresponding to different studies, measures, samples, and research questions examined within the broader project. Depending on the file, data may include demographic characteristics, sexual orientation, gender identity and expression, childhood and adult behavioral characteristics, personality traits, developmental factors, and other variables relevant to the study of same-sex sexual orientation.

Files are provided in formats appropriate for data analysis and may be accompanied by documentation describing the variables, coding, measures, and study-specific procedures. The contents of individual files may differ in sample size, variables, and participants depending on the specific study or analysis for which the data were collected.</description><pubDate>2026-10-03</pubDate></item><item><title>Supporting curators as core infrastructure for data sharing: A national survey of Canadian repository administrators</title><guid>/dataverse_sp/doi__10-5683_SP3_FXGTDG.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_FXGTDG.xml</link><description>This study examined how Canadian institutions support the administration and curation of research data within repository services, with the goal of understanding the human and organizational conditions needed to advance open science. As data sharing requirements from funders and publishers expand, understanding how institutions support data deposit, curation, and long‑term stewardship is essential for sustaining open science. The study aimed to assess institutional readiness, characterize service models, identify challenges faced by research data repository administrators, and evaluate the perceived value of a national community supporting this shared infrastructure. A national survey was sent to all Canadian institutions operating Dataverse collections as part of the emerging national shared infrastructure or separate institution-managed installations. Forty‑six institutions responded to the survey, representing a majority of the population at the time of data collection. Institutions reported substantial variation in staffing and service maturity, with many small institutional participants facing acute capacity limitations. Most institutional participants allocated minimal staff time to repository administration, yet the majority expected deposit rates to increase in the near term. Larger participating institutions were more likely to report robust and well‑established services, while smaller participating institutions frequently described their services as emerging or still under development. Across institution sizes, administrators identified researcher awareness, limited incentives for data deposit, and insufficient staffing as major challenges. While many participating institutions conducted basic dataset review activities, advanced curation services were less common, particularly among smaller institutions. Respondents emphasized the value of participating in a national community of practice, which provides shared expertise, collective problem‑solving, and a foundation for strengthening open science capacity across diverse institutional contexts. These findings underscore that open science relies fundamentally on human expertise: sustaining high‑quality, equitable, and trustworthy data sharing requires dedicated investment in the people and processes that make open data possible.</description><pubDate>2026-10-03</pubDate></item><item><title>Replication Data for: Microplastics accumulation and microbiome alterations in the freshwater pulmonate snail, Planorbella pilsbryi</title><guid>/dataverse_sp/doi__10-5683_SP3_B6NM7I.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_B6NM7I.xml</link><description>These datasets accompany a paper published in Environmental Toxicology and Chemistry titled "Microplastics accumulation and microbiome alterations in the freshwater pulmonate snail, Planorbella pilsbryi". These data include measurements of microplastic accumulation in Planorbella pilsbryi tissues and biological responses (survival and reproduction) following exposure to microplastics of different sizes, shapes, polymer types, and conditions.</description><pubDate>2026-10-03</pubDate></item><item><title>Labour Force Survey, August 2026 [Canada]</title><guid>/odesi/doi__10-5683_SP4_DZ8WB5.xml</guid><link>http://odesi.ca/en/details?id=/odesi/doi__10-5683_SP4_DZ8WB5.xml</link><description>LFS data are used to produce the well-known unemployment rate as well as other standard labour market indicators such as the employment rate and the participation rate. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the provinces, the territories and a large number of sub-provincial regions. For employees, data on wage rates, union status, job permanency and establishment size are also produced.

These data are used by different levels of government for evaluation and planning of employment programs in Canada. Regional unemployment rates are used by Employment and Social Development Canada to determine eligibility, level and duration of insurance benefits for persons living within a particular employment insurance region. The data are also used by labour market analysts, economists, consultants, planners, forecasters and academics in both the private and public sector.

Statistical activity Together, four statistical programs tell a more complete story of current labour market events. These programs are: the Labour Force Survey (LFS), the Survey of Employment, Payrolls and Hours (SEPH), Employment Insurance Statistics (EIS), and the Job Vacancy and Wage Survey (JVWS). Every month, the LFS provides timely data on the labour market, including the unemployment rate and demographic analysis. Later on, the SEPH report shows greater detail on non-farm industry employment and earnings and the JVWS supplies preliminary indicators on job vacancies. EIS provides substantial detail on Employment Insurance benefits by geography, socio-demographics and former occupation. Every quarter, the JVWS provides detailed information on job vacancies by occupation and economic region.</description><pubDate>2026-10-02</pubDate></item><item><title>Supplementary Materials for Planning Edible Landscaping in Residential Development: Feasibility, Approval Pathways, and Stakeholder Assessments in the Canadian Context</title><guid>/dataverse_sp/doi__10-5683_SP4_PDYQG8.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_PDYQG8.xml</link><description>This dataset contains the supplementary materials associated with Chapter 2 of the MA thesis Planning Edible Landscaping in Residential Development: Feasibility, Approval Pathways, and Stakeholder Assessments in the Canadian Context. Chapter 2 presents a scoping review examining the planning, design, development, and governance conditions affecting the feasibility of edible landscaping in residential development. The supplementary materials include the review protocol and documented deviations, database and grey-literature search strategies, screening and eligibility procedures, source-level characteristics of the included evidence, design-feasibility extraction matrices, policy and development-approval matrices, development-stage lock-in classifications, operations and maintenance governance matrices, and the data extraction and codebook framework.</description><pubDate>2026-10-02</pubDate></item><item><title>Replication Data for: Detection Defines Dephasing in Two-Dimensional Electronic Spectroscopy of Materials: Coherent Field Emission versus Incoherent Population Observables</title><guid>/dataverse_sp/doi__10-5683_SP4_UKSLI2.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_UKSLI2.xml</link><description>This is the replication data for the manuscript regarding the dephasing difference in the 2D spectroscopy of coherent field emission and action-detection, titled "Detection Defines Dephasing in Two-Dimensional Electronic Spectroscopy of Materials: Coherent Field Emission versus Incoherent Population Observables". It contains all the code and simulation data required to reproduce the plots presented in the manuscript.</description><pubDate>2026-10-02</pubDate></item><item><title>Dataset for: Female neighborhood fidelity and sexual swelling status predict within-community variation in fecal stable isotopes in wild chimpanzees</title><guid>/dataverse_sp/doi__10-5683_SP3_4ZVKFF.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_4ZVKFF.xml</link><description>This dataset contains fecal stable isotope and elemental data used in the manuscript “Female neighborhood fidelity and sexual swelling status predict within-community variation in fecal stable isotopes in wild chimpanzees” submitted to the American Journal of Primatology. The dataset includes fecal δ13C, δ15N, %C, and %N values from adult female chimpanzees at Ngogo, Kibale National Park, Uganda, along with variables used in the analyses, including female ID, neighborhood, estrus/sexual swelling status, and feeding events of females 24-48 hours prior to fecal sample collection.</description><pubDate>2026-10-02</pubDate></item><item><title>Data and code from: Plant species responses to nutrient addition, but not to herbivore exclusion, strengthen over time in global grasslands</title><guid>/dataverse_sp/doi__10-5683_SP4_8KIX4C.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_8KIX4C.xml</link><description>&lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;Nutrient enrichment and altered herbivory are among the most pervasive drivers of change in grasslands worldwide, yet how their effects on plant communities accumulate or fade over time, and which species drive those effects, remains poorly resolved. Using long-term data from the Nutrient Network (NutNet), a globally distributed experiment, we examined how grassland plant community composition responded to factorial nutrient addition (NPK) and herbivore exclusion (fencing) across 98 sites and up to 12 years of treatment. For each site and year, we quantified the overall compositional difference between treatments (PERMANOVA), identified the species contributing most to those differences (SIMPER), and classified species as indicators of each treatment (Indicator Species Analysis), linking these responses to each species' dominance, commonness, functional group, lifespan, and provenance. We found that compositional divergence under nutrient addition strengthened over time and was driven disproportionately by a relatively small subset of species, particularly dominant and common ones, whereas the effects of herbivore exclusion were comparatively weak and transient. These results highlight the importance of species-level dynamics for understanding how grassland biodiversity responds to global change. This package provides the processed data and annotated R code needed to reproduce all analyses and figures in the associated study.&lt;/p&gt;</description><pubDate>2026-10-02</pubDate></item><item><title>Methods paper Time-frequency analysis</title><guid>/dataverse_sp/doi__10-5683_SP3_OOOYMB.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_OOOYMB.xml</link><description>This dataset corresponds to data used for the study on the comparison of three methods for time-frequency analysis of heart rate variability data.</description><pubDate>2026-10-02</pubDate></item><item><title>Temporal Dynamics of Heart Rate Variability Reveal Stressor-specific Autonomic Patterns: A Multi-stressor Study</title><guid>/dataverse_sp/doi__10-5683_SP3_ZWHKDI.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_ZWHKDI.xml</link><description>HRV data collected in the multi-stress protocol.</description><pubDate>2026-10-02</pubDate></item><item><title>Impacts of smelter pollution on soil carbon dynamics in peatlands around one of North America’s largest historical point source of toxic metals, metalloids, and sulfur</title><guid>/dataverse_sp/doi__10-5683_SP4_WAARQQ.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_WAARQQ.xml</link><description>Dataset for manuscript Impacts of smelter pollution on soil carbon dynamics in peatlands around one of North America’s largest historical point source of toxic metals, metalloids, and sulfur.

S. Mitchell1, N. Basiliko1, C.P.R. McCarter2, P. Beckett3, P. Whittington4, I.F. Pendea5*

1 Department of Natural Resource Management, Lakehead University, 2 Department of Biology, Chemistry and Geography, Nipissing University, 3 Vale Living with Lakes Centre, Laurentian University, 4Department of Geography and the Environment, Brandon University, 5 Department of Sustainability Sciences, Geography and the Environment, Lakehead University</description><pubDate>2026-10-02</pubDate></item><item><title>On-Demand Millisecond Storage of Spectro-Temporal Modes at Telecom Wavelength</title><guid>/dataverse_sp/doi__10-5683_SP3_VJVJQF.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_VJVJQF.xml</link><description>Raw data and analysis scripts related to the manuscript titled **"On-Demand Millisecond Storage of Spectro-Temporal Modes at Telecom Wavelength."**

This repository contains the raw experimental data, processed datasets, numerical simulations, and Python analysis scripts used to generate all figures and tables presented in the manuscript and its accompanying Supplementary Material.

The work demonstrates a telecom-compatible quantum memory based on isotopically purified Er³⁺:Y₂SiO₅ using the Chirped Pulse Phase Encoding (CPPE) protocol. The dataset includes measurements of millisecond on-demand storage of weak coherent pulses, spectro-temporal multimode operation, frequency-bin state characterization, chirped-pulse optimization, noise characterization, spectral crosstalk, memory bandwidth measurements, and quantum repeater performance simulations.

The repository is organized according to the figure and table numbers in the manuscript. Each folder contains the corresponding raw data, processed data, and Jupyter notebook(s) required to reproduce the associated figure or table:

* **Main_Fig1** --&gt; Quantum repeater performance simulations.
* **Main_Fig2** --&gt; Millisecond storage efficiency measurements.
* **Main_Fig3** --&gt; Temporal and spectral-temporal multimode storage experiments.
* **Main_Fig4** --&gt; Frequency-bin state characterization.
* **SM_FigS1** --&gt; Absorption spectrum and optical coherence measurements.
* **SM_FigS2** --&gt; Quantum repeater parameter analysis.
* **SM_FigS3** --&gt; Chirped-pulse optimization and numerical simulations.
* **SM_FigS4** --&gt; Absorption evolution during the CPPE protocol and photoluminescence measurements.
* **SM_FigS5** --&gt; CPPE pulse sequence characterization.
* **SM_FigS6** --&gt; Spectral crosstalk measurements.
* **SM_FigS7** --&gt; Comparison with previously reported erbium-based quantum memories.
* **SM_TableS2** --&gt; Memory bandwidth characterization.

The notebooks can be executed independently using the data provided within their respective directories. Standard Python scientific libraries, including NumPy, SciPy, Pandas, Matplotlib, and Plotly, are required to run the analysis scripts.

This dataset is licensed under the Creative Commons license Attribution-NonCommercial 4.0 International. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc/4.0/</description><pubDate>2026-10-02</pubDate></item><item><title>Supplemental data for: A labor of love? Gender, animal welfare, and the costs of caring in livestock veterinary practice</title><guid>/dataverse_sp/doi__10-5683_SP4_PFFSMJ.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_PFFSMJ.xml</link><description>This dataset contains the supplementary materials of the study: "A labor of love? Gender, animal welfare, and the costs of caring in livestock veterinary practice." Abstract: Human-animal interactions can exert both positive and negative influences on the welfare of animals. These interactions are shaped by human attitudes and behaviors that are, in turn, influenced by a multitude of factors, including gender. Despite this, there remains a dearth of research examining the role of gender in the way animal care is performed and its influence on persistent animal welfare dilemmas. This is particularly relevant in livestock production, where economics and industry culture exert considerable influence on animal care practices. We therefore sought to explore the influence of gender on human-animal relationships; specifically, the relationship between livestock veterinarians and the animals they care for. We conducted interviews with non-male identifying veterinarians (n = 21) who worked or had worked in food animal practice at some point in their career. Interviews were recorded, transcribed, and underwent reflexive thematic analysis. Analysis resulted in three major themes: 1) Earning one’s place in a profession once built for others; 2) Care in conflict: relational versus instrumental care; and 3) Enduring structures and shifting norms. Our results describe a gendered paradox of care in livestock veterinary medicine whereby animal care requires empathy and emotionality. However, industry culture often devalues these qualities as implicitly feminine, instead rewarding stoicism and emotional containment. Despite this, our participants described their ongoing work in challenging hegemonic gender norms and actively rebuilding the emergent profession from within. We contend that addressing the paradox of care in livestock veterinary practice requires supporting all veterinarians in embracing both emotionality and rationality, with care ethics offering a promising avenue for centering the value of relational care.</description><pubDate>2026-10-02</pubDate></item><item><title>Data for Paper: Loudness discomfort levels at extended high frequencies in young adults:  A potential marker of hyperacusis</title><guid>/dataverse_sp/doi__10-5683_SP3_K4Z0RU.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_K4Z0RU.xml</link><description>Data for Hearing Research Paper: Loudness discomfort levels at extended high frequencies in young adults: A potential marker of hyperacusis</description><pubDate>2026-10-02</pubDate></item><item><title>When perception meets prediction: Tinnitus as a model of internal-external auditory interactions</title><guid>/dataverse_sp/doi__10-5683_SP4_CQY6B7.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_CQY6B7.xml</link><description>This dataset contains the processed electrophysiological data underlying the study of cortical activity to sound onset and to short gaps embedded in ongoing noise in individuals with chronic tinnitus and matched controls.</description><pubDate>2026-10-02</pubDate></item><item><title>Dataset of A novel integrated objective-subjective weighting method using principal component analysis to correct correlation bias among criteria in sustainability decision making</title><guid>/dataverse_sp/doi__10-5683_SP3_NYKQXH.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_NYKQXH.xml</link><description>This dataset presents raw results related to the development of an integrated objective-subjective weighting method based on principal component analysis. This dataset documents the principal results presented in the paper and its supplementary materials. The computation method was applied to three comparative case studies from the literature.</description><pubDate>2026-10-02</pubDate></item><item><title>Canadian Health Survey on Seniors, 2019-2020</title><guid>/odesi/doi__10-5683_SP3_HTBB0D.xml</guid><link>http://odesi.ca/en/details?id=/odesi/doi__10-5683_SP3_HTBB0D.xml</link><description>&lt;p&gt;The Canadian Health Survey on Seniors (CHSS) is a cross-sectional survey that collected information related to health status, health care services, supports, as well as social and health determinants for the Canadian population aged 65 and over. The survey is a supplement to the Canadian Community Health Survey (CCHS). The CHSS includes 15 minutes of content asked at the end of the CCHS to respondents aged 65 and over. The surveys are designed to flow seamlessly from the CCHS into the CHSS.&lt;/p&gt;

The objectives of the Canadian Health Survey on Seniors are:
&lt;ol&gt;
&lt;li&gt;To better understand what contributes to healthy aging by collecting data on the health and well-being of seniors, including their use of health care services and supports, as well as social, demographic, geographic and economic determinants.&lt;/li&gt;
&lt;li&gt;To produce estimates on the health of seniors aged 65 and over at the provincial level, and for seniors aged 85 and over at the national level.&lt;/li&gt;
&lt;li&gt;To produce a cross-sectional dataset on the health of seniors that permits analysis on a range of research questions and surveillance activities.&lt;/li&gt;
&lt;li&gt;To evaluate changes on certain aspects of health from the CCHS - Healthy Aging (HA), 2008/2009.&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;Due to the COVID-19 pandemic, collection was paused from mid-March until September, 2020. When collection resumed in September, a new module was added to the CCHS with content related to the pandemic: changes in mental health, precautions taken to protect against COVID-19, experiences of symptoms, getting tested for COVID, and willingness to get a vaccine. Important note: the responses for the COV module for the collection periods of September to December have been included on the 2020 annual file but they are not included in the 2019/2020 data file.&lt;/p&gt;</description><pubDate>2026-10-01</pubDate></item><item><title>Fichier des codes postaux par circonscriptions électorales fédérales [Canada],  septembre 2026, Recensement de la population 2021</title><guid>/odesi/doi__10-5683_SP4_YOP6SJ.xml</guid><link>http://odesi.ca/en/details?id=/odesi/doi__10-5683_SP4_YOP6SJ.xml</link><description>&lt;p&gt;Le FCPCEF est un fichier numérique qui établit un lien entre le code postal à six caractères et les circonscriptions électorales fédérales du Canada (également appelées circonscriptions fédérales).&lt;/p&gt;

&lt;p&gt;Selon Élections Canada, une circonscription électorale fédérale (CEF) est un endroit ou un territoire dont les habitants sont en droit d’élire un député à la Chambre des communes. Les limites légales et les descriptions des CEF sont du ressort du Directeur général des élections et sont généralement révisées tous les dix ans d’après les résultats du recensement décennal. Selon l’Ordonnance de représentation de 2013, dernière révision des limites des circonscriptions électorales fédérales, il y a 338 CEF au Canada&lt;/p&gt;

&lt;p&gt;Certains codes postaux chevauchent les limites d’une ou de plusieurs CEF. La variable « lien unique » indique si le code postal est lié à une ou plusieurs CEF. Les utilisateurs apparient souvent le code postal de leur ensemble de données à la CEF du FCPCEF. Lorsqu’ils effectuent ce jumelage, les utilisateurs doivent se rappeler que le code postal de leurs données peut renvoyer à l’adresse postale d’une personne, et pas nécessairement à son adresse résidentielle. De même, le code postal de l’adresse d’une entreprise n’indique pas nécessairement l’emplacement des activités de l’entreprise.&lt;/p&gt;

&lt;p&gt;La date de référence pour les codes postaux inclus dans le FCPCEF est la même date que celle retenue pour les codes postaux compris dans le Fichier de conversion des codes postaux (FCCP) diffusé en même temps que la présente version du FCPCEF&lt;/p&gt;</description><pubDate>2026-10-01</pubDate></item><item><title>Postal Code Conversion File [Canada], September 2026, Census of Canada 2021</title><guid>/odesi/doi__10-5683_SP4_MKWQZQ.xml</guid><link>http://odesi.ca/en/details?id=/odesi/doi__10-5683_SP4_MKWQZQ.xml</link><description>&lt;p&gt;The Postal Code Conversion File (PCCF) is a digital file which provides a correspondence between the Canada Post Corporation (CPC) six-character postal code and Statistics Canada's standard geographic areas for which census data and other statistics are produced. Through the link between postal codes and standard geographic areas, the PCCF permits the integration of data from various sources. The Single Link Indicator provides one best link for every postal code, as there are multiple records for many postal codes.&lt;/p&gt; &lt;p&gt;New to the June 2022 version, a separate data file is available for retired postal codes. The retired file uses the same record layout as the PCCF file. The same syntax file can be used for both the PCCF data file and the retired data file.&lt;/p&gt; &lt;p&gt;The geographic coordinates attached to each postal code on the PCCF are commonly used to map the distribution of data for spatial analysis (e.g., clients, activities). The location information is a powerful tool for planning, or research purposes. &lt;/p&gt; &lt;p&gt;The geographic coordinates, which represent the standard geostatistical areas linked to each postal code&lt;sup&gt;OM&lt;/sup&gt; on the PCCF, are commonly used to map the distribution of data for spatial analysis (e.g., clients, activities). The location information is a powerful tool for marketing, planning, or research purposes. In April 1983, the Statistical Registers and Geography Division released the first version of the PCCF, which linked postal codes&lt;sup&gt;OM&lt;/sup&gt; to 1981 Census geographic areas and included geographic coordinates. Since then, the file has been updated on a regular basis to reflect changes. For this release of the PCCF, the vast majority of the postal codes&lt;sup&gt;OM&lt;/sup&gt; are directly geocoded to 2016 Census geography while others are linked via various conversion processes. A quality indicator for the confidence of this linkage is available in the PCCF. &lt;/p&gt;
&lt;p&gt;Restricted File Access will be granted only to DLI and Odesi Subscribing Institutions.&lt;/p&gt;</description><pubDate>2026-10-01</pubDate></item><item><title>Postal Code Federal Riding File [Canada], September 2026, Census of Canada 2021</title><guid>/odesi/doi__10-5683_SP4_XJLY45.xml</guid><link>http://odesi.ca/en/details?id=/odesi/doi__10-5683_SP4_XJLY45.xml</link><description>&lt;p&gt;The Postal Codes by Federal Ridings File (PCFRF) is a digital file which provides a link between the six- character postal code and Canada’s federal electoral districts (which are also known as federal ridings).&lt;/p&gt;

&lt;p&gt;Elections Canada defines a federal electoral district (FED) as any place or territorial area entitled to return a Member of Parliament (MP) to serve in the House of Commons. Federal electoral district legal limits and descriptions are the responsibility of the Chief Electoral Officer, and are usually revised every ten years after the results of the decennial census. There are 338 FEDs in the 2013 Representation Order, the most recent revision of the federal electoral districts limits.&lt;/p&gt;

&lt;p&gt;Some postal codes straddle one or more FED boundaries. The ‘unique link’ variable indicates if the postal code is linked to one or more FEDs. Users often link the postal code in their data set to the FED in the PCFRF. When performing this link, users should be aware that the postal code in their data set may represent a mailing address used by a person, not necessarily where the person actually resides. Similarly, a postal code in a business-based mailing address may not necessarily indicate where the business activity took place.&lt;/p&gt;

&lt;p&gt;The reference date for postal codes contained in the PCFRF is the same date as the postal codes contained in the Postal Code Conversion File (PCCF) product released concurrently with this version of the PCFRF&lt;/p&gt;

&lt;p&gt;Restricted File Access will be granted only to DLI and Odesi Subscribing Institutions.&lt;/p&gt;</description><pubDate>2026-10-01</pubDate></item><item><title>Table of individual records - Scoping review on the inclusion of informal caregivers in the palliative and end-of-life care of older adults</title><guid>/dataverse_sp/doi__10-5683_SP4_EFCDYU.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_EFCDYU.xml</link><description>The original file is available for download in Excel format (.xlsx). Table displaying individual records (n=63) from a scoping review on the inclusion of informal caregivers in the palliative and end-of-life care of older adults. Sorted by year (latest to oldest). Option to filter by column. 

Associated protocol: Auclair, I., Bourbonnais, A., Lavoie, A. et Leclerc-Loiselle, J. (2022). Inclusion of informal caregivers in the palliative and end-of-life care of older adults: A scoping review protocol. BMJ Open, 12(4), article no e053858. https://doi.org/10.1136/bmjopen-2021-053858

(2026-09-30)</description><pubDate>2026-10-01</pubDate></item><item><title>Database Searches For A Scoping Review of Neurodivergent Undergraduate Nursing Students In Clinical Placement: Experiences, Reasonable Adjustment, Challenges, Simulation Training and Disclosure</title><guid>/dataverse_sp/doi__10-5683_SP4_N9BGLW.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_N9BGLW.xml</link><description>Complete database searches for a scoping review of neurodivergent nursing student experiences in undergraduate clinical placements. NeurodiversityNursingEducation_README_Smith includes details about the study. 
NeurodiversityNursingEducation_SearchString_20260706_Smith.rtf includes the complete searches for all scholarly databases selected for searching</description><pubDate>2026-10-01</pubDate></item><item><title>Tesla Model 3 2170 Li-ion Cell Dataset and Battery SOC Estimation Blind Modeling Tool</title><guid>/dataverse_sp/doi__10-5683_SP3_ZVTR4B.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_ZVTR4B.xml</link><description>For this dataset tests were performed on cylindrical 2170 form factor Li-ion battery cells from a Tesla Model 3 electric vehicle.  The tests include characterization tests (constant current discharges, HPPC, etc) and electric vehicle drive cycles.  A portion of the data is provided openly for use in developing state of charge (SOC) estimation algorithms, and a portion is kept hidden and used for blinded testing of algorithms. Algorithms can be submitted for testing via the portal described in the dataset documentation.

The blind modeling tool concept is described in detail in the publication &lt;a href="https://doi.org/10.1109/ITEC53557.2022.9813996"&gt;A Blind Modeling Tool for Standardized Evaluation of Battery State of Charge Estimation Algorithms&lt;/a&gt; and in the included documentation.</description><pubDate>2026-10-01</pubDate></item><item><title>Supplementary data to the journal article "Surplus Water Extraction: A simple method to determine the alkali metal concentration in the pore solution of cement paste"</title><guid>/dataverse_sp/doi__10-5683_SP3_TP4PMX.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_TP4PMX.xml</link><description>Raw data for PWE and SWE results. Raw EDS (energy-dispersive X-ray spectrometry) data of hydrates</description><pubDate>2026-09-30</pubDate></item><item><title>Replication Data for: Declining environmental predictability erodes reproduction in a tropical seabird</title><guid>/dataverse_sp/doi__10-5683_SP4_5SGEPV.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_5SGEPV.xml</link><description>This dataset contains the data, fitted models and code needed to reproduce the analyses and figures in Ortega et al., "Declining environmental predictability erodes reproduction in a tropical seabird". It combines 21 years (2003–2023) of individual breeding records of blue-footed boobies (Sula nebouxii) on Isla Isabel, Mexico (8,378 breeding attempts by 2,581 females; 8,962 by 2,910 males) with MODIS-Aqua satellite chlorophyll-a data. Bloom onset, phenological mismatch (laying date − bloom onset) and nest success (0–3 fledglings) were analysed with Bayesian location–scale models (brms/Stan), testing for changes in both mean timing and year-to-year variability. The deposit includes the input data, the full Quarto analysis workflow (bloom detection, mismatch calculation, model fitting, diagnostics, sensitivity analyses and figure code), the fitted model objects, precomputed posterior draws, figure outputs and numerical source data for every figure.</description><pubDate>2026-09-30</pubDate></item><item><title>Données et code de réplication pour : Analyse de la mobilité intergénérationnelle des enfants de seconde génération d'immigrants au Canada</title><guid>/dataverse_sp/doi__10-5683_SP4_MA4WJJ.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_MA4WJJ.xml</link><description>Ce package de réplication accompagne le mémoire de maîtrise intitulé «Analyse de la mobilité intergénérationnelle des enfants de seconde génération d'immigrants au Canada », déposé initialement à l'Université du Québec à Montréal (UQAM) en mai 2026, puis dans sa version finale en août 2026. Mémoire effectué sous la direction de Marie Connolly. Le package contient l'ensemble du code Stata et des fichiers de sortie nécessaires à la reproduction des résultats empiriques du mémoire. Voir le fichier ReadMe pour plus de détails.</description><pubDate>2026-09-30</pubDate></item><item><title>Function aligns with geometry in locally connected neuronal networks</title><guid>/dataverse_sp/doi__10-5683_SP3_YKCS90.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_YKCS90.xml</link><description>Data associated with the "Function aligns with geometry in locally connected neuronal networks" paper.</description><pubDate>2026-09-30</pubDate></item><item><title>Canadian historical business data</title><guid>/dataverse_sp/doi__10-5683_SP3_IPKREG.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_IPKREG.xml</link><description>Product contains one data file (.csv format) for each year from 2009-2025. Files range from 1.5-2.4 million records per year. Records provide information about business location (address), number of employees, sales volume, NAICS &amp; SIC codes, unique identifier across time for businesses and parent entities.</description><pubDate>2026-09-30</pubDate></item><item><title>United States historical business data</title><guid>/dataverse_sp/doi__10-5683_SP3_GY5K1C.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_GY5K1C.xml</link><description>Product contains one data file (.txt format) for each year from 1997-2025 containing 11-15 million records per year. Records provide information about business location (including address, census block, census tract &amp; lat/long coordinates), number of employees, sales volume, NAICS &amp; SIC codes, unique identifier across time for businesses and parent entities.</description><pubDate>2026-09-30</pubDate></item><item><title>Land cover maps for the eastern slopes of Paahtómahksikimi (in Waterton Lakes National Park) and Iitaika’kiakio’pi (Blood 148A Timber Limit)</title><guid>/dataverse_sp/doi__10-5683_SP3_VI9QJO.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_VI9QJO.xml</link><description>This dataset contains eight land cover maps for the eastern slopes of the Canadian Rocky Mountains in Paahtómahksikimi (an area of Waterton Lakes National Park) and Iitaika’kiakio’pi (Blood 148A), a timber limit managed by Kainai Nation. Two of the land cover maps (1914 and 2024) were created using ground-based oblique images from the Mountain Legacy Project (mountainlegacy.ca) in the Mountain Image Analysis Suite. The other six maps (1939, 1950, 1967, 1987, 2009, and 2018) were created using aerial imagery.</description><pubDate>2026-09-30</pubDate></item><item><title>Labour Force Survey, July 2026 [Canada]</title><guid>/odesi/doi__10-5683_SP4_VVYTXG.xml</guid><link>http://odesi.ca/en/details?id=/odesi/doi__10-5683_SP4_VVYTXG.xml</link><description>LFS data are used to produce the well-known unemployment rate as well as other standard labour market indicators such as the employment rate and the participation rate. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the provinces, the territories and a large number of sub-provincial regions. For employees, data on wage rates, union status, job permanency and establishment size are also produced.
&lt;br&gt;&lt;br&gt;
These data are used by different levels of government for evaluation and planning of employment programs in Canada. Regional unemployment rates are used by Employment and Social Development Canada to determine eligibility, level and duration of insurance benefits for persons living within a particular employment insurance region. The data are also used by labour market analysts, economists, consultants, planners, forecasters and academics in both the private and public sector.
&lt;br&gt;&lt;br&gt;
&lt;b&gt;Statistical activity&lt;/b&gt;
&lt;br&gt;
Together, four statistical programs tell a more complete story of current labour market events. These programs are: the Labour Force Survey (LFS), the Survey of Employment, Payrolls and Hours (SEPH), Employment Insurance Statistics (EIS), and the Job Vacancy and Wage Survey (JVWS). Every month, the LFS provides timely data on the labour market, including the unemployment rate and demographic analysis. Later on, the SEPH report shows greater detail on non-farm industry employment and earnings and the JVWS supplies preliminary indicators on job vacancies. EIS provides substantial detail on Employment Insurance benefits by geography, socio-demographics and former occupation. Every quarter, the JVWS provides detailed information on job vacancies by occupation and economic region.
&lt;br&gt;&lt;br&gt;</description><pubDate>2026-09-29</pubDate></item><item><title>Dataset for "Cell Free DNA as a Biomarker of Cell Death and Treatment Response for On-Chip Three-Dimensional Tumor Models"</title><guid>/dataverse_sp/doi__10-5683_SP3_ZUGBRF.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_ZUGBRF.xml</link><description>Raw data used to generate graphs of figure 2 to 7 and supplementary materials of the paper called "Cell Free DNA as a Biomarker of Cell Death and Treatment Response for On-Chip Three-Dimensional Tumor Models"</description><pubDate>2026-09-29</pubDate></item><item><title>Disentangling Modulator and Fluoride Chemistry in RE-MOF formation via multinuclear NMR spectroscopy: A Mechanism-Guided Synthetic Redesign</title><guid>/dataverse_sp/doi__10-5683_SP3_OFXGAS.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_OFXGAS.xml</link><description>Principal Investigator Information
Name: Dr. Michael Katz
Address: Core Science Facility, 45 Arctic Avenue, St. John's, NL, Canada, A1C 5S7
Institution: Memorial University of Newfoundland
Email: mkatz@mun.ca

Author Information
Name: Rodney Blanchard
Address: Core Science Facility, 45 Arctic Avenue, St. John's, NL, Canada, A1C 5S7
Insitution: Memorial University of Newfoundland
Email: rjblanchard@mun.ca

Author Information
Name: Mallory Button
Address: Core Science Facility, 45 Arctic Avenue, St. John's, NL, Canada, A1C 5S7
Insitution: Memorial University of Newfoundland
Email: mebutton@mun.ca

The data contained in these folders were procured in the interest of investigating the mechanism of formation of Y-UiO-66.
Contained in the same folder as this readme file are four folders containing different data.

AIF Data - Adsorption Information Files containing isotherms conducted on various samples of Y-UiO-66, Y-UiO-67 and RE-UiO-66 derivatives. Data was collected with a Micromeritics (now Malvern Panalytical) Tristar II between the dates of 2025-11-27 and 2026-07-021 by Rodney Blanchard. Each aif file contains the exact date of data acquisition. AIF data was collected to confirm porosity of samples of Y-UiO-66, Y-UiO-67 and RE-UiO-66 derivatives. A readme file specific to this data is located in the AIF Data folder for further information.

NMR Data - Raw NMR spectral data collected to monitor the concentration of ligand and modulator, as well as peak position of D2O, in solution during the synthesis of Y-UiO-66 under various conditions. NMR spectral data is provided that was collected to probe kinetic information, monitor the reactivity of DFBA and to identify the byproducts, 1,3-difluorobenzene and 2-dimethylamino-6-fluorobenzoic acid. Data were collected with a Bruker NEO spectrometer between the dates of 2024-06-21 and 2026-07-21 by Rodney Blanchard with technical assistance from Dr. Céline Schneider. A readme file specific to this data is located in the NMR Data folder for further information.

PXRD Data - xye files containing PXRD data from experiments conducted on various samples of Y-UiO-66, Y-UiO-67, and RE-UiO-66 derivatives. Data were collected with a Rigaku XtaLab Synergy-S X-ray diffractometer using a copper microfocus source operating at 50 KV and 1.00 mA using the CrysAlis Pro software between the dates of 2025-10-06 and 2026-07-21 by Rodney Blanchard. PXRDs were collected to confirm the structures of samples of Y-UiO-66, Y-UiO-67, and RE-UiO-66 derivatives synthesized under various conditions. A readme file specific to this data is located in the PXRD Data folder for further information.

SCXRD Data - Raw single crystal X-ray diffraction (SCXRD) data and associated files directly from the diffractometer computer from experiments conducted on various samples of Y-UiO-66, Y-UiO-67, RE-UiO-66 derivatives, and reaction byproducts. Data were collected with a Rigaku XtaLab Synergy-S X-ray diffractometer using a copper microfocus source operating at 50 KV and 1.00 mA using the CrysAlis Pro software between the dates of 2025-01-24 and 2026-07-21 by Rodney Blanchard and Dr. Michael Katz. All structures were solved using Crystals. SCXRDs were collected to confirm the structures of samples of Y-UiO-66, Y-UiO-67, RE-UiO-66 derivatives and reaction byproducts. A readme file specific to this data is located in the SCXRD Data folder for further information.

GC-MS Data - Raw GC-MS data collected to monitor the evolution of carbon dioxide and formation of 1,3-difluorobenzene from the decomposition of 2,6-difluorobenzoic acid. Data was collected with a Agilent 7890A GC-5975C MSD Inert XL EI/CI on 2026-05-07 by Dr. Stefana Egli. A readme file specific to this data is located in the GC-MS Data folder for further information.

This readme file was generated on 2026-07-21 by Rodney Blanchard.</description><pubDate>2026-09-29</pubDate></item><item><title>Epidemiology of stillbirths and maternal post-discharge outcomes following stillbirths in Uganda: a prospective cohort study</title><guid>/dataverse_sp/doi__10-5683_SP4_4M2J8Y.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_4M2J8Y.xml</link><description>&lt;br/&gt;&lt;strong&gt;Background:&lt;/strong&gt; Stillbirth remains a critical public health challenge in low-resource settings and is a significant cause of perinatal mortality, where gaps in antenatal care, healthcare access, and socioeconomic disparities exacerbate risks. Understanding maternal post-discharge outcomes and identifying modifiable predictors for stillbirths is essential to improve care pathways. &lt;br /&gt;

&lt;br /&gt;&lt;strong&gt;Methods:&lt;/strong&gt; This prospective cohort study analyzed maternal and perinatal health data from 7131 women who delivered 7359 newborns at the Mbarara and Jinja Regional Referral Hospitals between April, 2022 and September, 2023. A stillbirth was defined as the death of a foetus ≥28 weeks of gestation. Univariate logistic regression models were used to determine potential predictors associated with stillbirth . Odds ratios (ORs) with 95% confidence intervals (CIs) were reported.  &lt;br/&gt;

&lt;br /&gt;&lt;strong&gt;Results:&lt;/strong&gt; Among 7129 women who survived and were discharged post-delivery, 261 (3.7%) experienced a stillbirth. Six-week post-discharge readmission of women of stillborn infants was 8.5% as compared to 3% among those who were discharged with a live newborn.  Previous child death was strongly associated with stillbirth (OR: 7.11, 95% CI: 5.5–9.17, p &lt;0.001), followed by transport delays &gt;1 hour (OR: 2.71, 95% CI: 1.95–3.75) and pregnancy-related illnesses (OR: 1.70, 95% CI: 1.30–2.25). Each additional year of maternal age increased odds by 2% (OR: 1.02, 95% CI: 1.00–1.04). Protective factors included adequate antenatal care (4–8 visits) (OR: 0.51, 95% CI: 0.40–0.66) and partner support (OR: 0.72, 95% CI: 0.56–0.95). 
&lt;br /&gt;

&lt;br /&gt;&lt;strong&gt;Conclusion:&lt;/strong&gt; Maternal morbidity following stillbirths is high. Furthermore, several demographic, health, and socioeconomic characteristics are strongly associated with  stillbirths. Many stillbirths may be prevented following early identification of these characteristics through interventions to ensure expectant mothers receive adequate support during their pregnancy.
&lt;br /&gt;

&lt;br /&gt;&lt;strong&gt;Ethics Declaration:&lt;/strong&gt; This study was approved by Makerere University School of Public Health (MakSPH) Research and Ethics Committee (SPH-2021-177), the Uganda National Council of Science and Technology (UNCST) in Uganda (HS2174ES), and the University of British Columbia in Canada (H21-03709). This study has been registered at clinicaltrials.gov (NCT05730387).&lt;br &gt;&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-data-colab/"&gt;website&lt;/a&gt;.</description><pubDate>2026-09-29</pubDate></item><item><title>Windsor Group Fossils</title><guid>/dataverse_sp/doi__10-5683_SP3_LZJ7XP.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_LZJ7XP.xml</link><description>Photos of Carboniferous fossils from the Windsor Group of Nova Scotia. These files are of specimens collected from the Windsor-Kennetcook sub-basin, a late Paleozoic successor basin that overlies rocks of the Appalachian Orogen. 
Images should be used to aid in fossil identification.</description><pubDate>2026-09-29</pubDate></item><item><title>Supplemental data for: Effects of summer thermal conditions on physiological responses, lying behavior, and weight gain in preweaned Holstein dairy heifer calves in a humid continental climate</title><guid>/dataverse_sp/doi__10-5683_SP4_8FJ4NV.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_8FJ4NV.xml</link><description>This dataset contains supplementary tables presenting multivariable linear models for heat exposure metrics and other factors associated with calf heat stress responses.</description><pubDate>2026-09-29</pubDate></item><item><title>Spreadsheet and images for study of CpV and PLVs</title><guid>/dataverse_sp/doi__10-5683_SP4_Y9EJUP.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_Y9EJUP.xml</link><description>This is the data from a study of the interactions of the PLVs CpV-PLV Larry and Curly with CpV-BQ1 and BQ3, including a spreadsheet of cell counts and qPCR, and two TEM images.</description><pubDate>2026-09-29</pubDate></item><item><title>Systematic review investigating the mental health trajectories associated with the COVID-19 pandemic</title><guid>/dataverse_sp/doi__10-5683_SP3_4V9P5U.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_4V9P5U.xml</link><description>The dataset comprises datasets related to two coordinated systematic reviews on COVID-19 and mental health. Both were parts of a set of systematic reviews that prospectively registered in PROSPERO (CRD42020179703), with a protocol posted prior to initiation (https://osf.io/96csg/).

Together, the datasets capture both pre–post pandemic comparisons and prospective longitudinal assessments, providing a comprehensive synthesis of mental health trajectories associated with the COVID-19 pandemic.</description><pubDate>2026-09-29</pubDate></item><item><title>Distinct Gut and Lung Microbiota Profiles in a Naturally Occurring Equine Model of Asthma</title><guid>/dataverse_sp/doi__10-5683_SP4_PNDJQQ.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_PNDJQQ.xml</link><description>Data set for : Distinct Gut and Lung Microbiota Profiles in a Naturally Occurring Equine Model of Asthma</description><pubDate>2026-09-29</pubDate></item><item><title>Pliocene–Pleistocene transition in the Sea of Japan: marine palynology of Integrated Ocean Drilling Program Site U1424</title><guid>/dataverse_sp/doi__10-5683_SP4_WODEOP.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_WODEOP.xml</link><description>The marine palynological record of IODP Site U1424, Sea of Japan, across the Pliocene–Pleistocene transition. 125 samples were analysed spanning the interval 2.85–2.41 Ma (Marine Isotope Stages G12–95). The record consists of counts of dinoflagellate cyst, acritarch, pollen (as groups) and other incertae sedis.</description><pubDate>2026-09-29</pubDate></item><item><title>Replication data for: Pollinator biodiversity and conservation are supported by multi-scale assessments of individual, community and landscape level influences on milkweed-based pollination hubs in the Niagara Region of Ontario, Canada</title><guid>/dataverse_sp/doi__10-5683_SP4_6AZHNJ.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_6AZHNJ.xml</link><description>This dataset accompanies the PhD dissertation of Kiera Newman (2026), University of Guelph. The archived files contain research data associated with investigations of milkweed, honey bee health, wild bee biodiversity, apiary proximity, and landscape-scale pollinator conservation in the Niagara Region of Ontario, Canada. The accompanying README file provides descriptions of the datasets, their organization, variables, and relevant methodological information. Users are encouraged to consult the dissertation for additional details regarding study design, data collection, statistical analyses, and interpretation of results.</description><pubDate>2026-09-29</pubDate></item><item><title>Contingency and Modality</title><guid>/dataverse_sp/doi__10-5683_SP4_2ZMSPX.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_2ZMSPX.xml</link><description>These are the data in the paper published in the journal "Experimental Psychology" titled "Simple contingency learning across modalities" and authored by Sébastien A. Lauzon, Noah D. Forrin, and Colin M. MacLeod</description><pubDate>2026-09-26</pubDate></item><item><title>Sex and body composition modulate transcutaneous spinal stimulation responses in neurologically healthy adults</title><guid>/dataverse_sp/doi__10-5683_SP4_5SRCEF.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_5SRCEF.xml</link><description>These data files accompany a manuscript submitted for review to eLife. The dataset comprises processed electromyographic (EMG) response measures from 50 participants (P01–P50), each tested across three sessions/visits (V1, V2, V3), yielding 150 files organized as one file per participant per visit (P##_V#_clean). Within each file, every row corresponds to a single measurement window for a given muscle and stimulus (identified by the Muscle, Period, and Interval fields at a specified StimulationIntensity), and the columns report the amplitude of the evoked response (maximum, minimum, peak-to-peak, mean, and standard deviation), its timing (time-to-maximum, time-to-minimum, time-to-first-response, and response latency), and the corresponding pre-stimulus baseline statistics (mean, standard deviation, minimum, and maximum).</description><pubDate>2026-09-26</pubDate></item><item><title>Data and code from: Grassland set-asides provide nesting habitat for bumble bees in agroecosystems</title><guid>/dataverse_sp/doi__10-5683_SP4_9ERGSF.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_9ERGSF.xml</link><description>&lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;Wild bee declines threaten pollination services in agricultural landscapes. The availability of adequate nesting habitat, especially within intensively farmed regions, has been identified as an area where more research is critically needed. We assessed the potential for grassland set-asides (GLSAs), an agricultural diversification practice that temporarily takes fields out of production to cover crop them with grasses and forbs, to provide high-quality nesting habitat for wild bumble bees (&lt;em&gt;Bombus&lt;/em&gt; spp.). During the spring of 2023, we surveyed nest-searching queen abundance across multiple agricultural land use types, including GLSAs, in an intensively managed agricultural landscape. Then, during the summer, we mapped worker distributions and performed microsatellite analysis of tarsal DNA to estimate colony abundance across these land use types. Native nest-searching queens were observed more frequently in GLSAs, relative to other land types (while accounting for their overall frequency in the landscape), with queen densities in GLSAs comparable to unmanaged grassy areas and significantly higher than in crop fields, pastures, or roadsides. The area of GLSAs in a landscape was also a strong predictor of native bumble bee worker abundance and supported a higher estimated nest abundance for the species &lt;em&gt;Bombus mixtus&lt;/em&gt;, indicating that the positive effects of GLSAs on bumble bees extend beyond the nest site selection phase. &lt;em&gt;Synthesis and applications.&lt;/em&gt; Our study demonstrates that GLSAs can provide nesting habitat for bumble bees within intensively managed agroecosystems. To maximize their conservation value and to avoid creating ecological traps, land managers should consider incorporating GLSAs into farming landscapes for the full duration of the colony cycle (i.e., spring queen emergence through late-summer gyne and male production). Moreover, farmers and communities should incorporate knowledge about alternative nesting sites, for example by staggering GLSA schedules at the landscape level, to mitigate the loss of habitat when GLSAs are returned to production.&lt;/p&gt;</description><pubDate>2026-09-26</pubDate></item><item><title>The Pliocene–Pleistocene transition at Ocean Drilling Program Site 1148, northern South China Sea – the dinoflagellate cyst record</title><guid>/dataverse_sp/doi__10-5683_SP4_B0HLB7.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_B0HLB7.xml</link><description>The marine palynological record of ODP Site 1148, South China Sea, across the Pliocene–Pleistocene transition. 75 samples were analysed spanning the interval 2.85–2.41 Ma (Marine Isotope Stages G12–95). The record consists of counts of dinoflagellate cyst, acritarch, pollen (as groups) and other incertae sedis.</description><pubDate>2026-09-26</pubDate></item><item><title>Lymphedema Night-time Compression Trial</title><guid>/dataverse_sp/doi__10-5683_SP3_ZS0PZR.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_ZS0PZR.xml</link><description>Background: Lymphedema is a prevalent long-term effect of breast cancer treatment that is associated with reduced quality of life. Observational data support a positive association between the regular application of night-time compression and long-term control of arm lymphedema. The purpose of this study was to examine the efficacy of night-time compression as a self-management strategy for women with chronic breast cancer related lymphedema.  &#13;
Methods/ Design:  We conducted a parallel 3-arm, multi-centre randomized fast-track trial. Women were recruited from three centres in Canada and randomized to Group 1: Day-time compression garment alone (standard care), or Group 2: Day-time compression garment + night-time compression bandaging (CB), or Group 3:  Day-time compression garment + use of a night-time compression system garment (NCSG). The primary outcome was the change in excess arm volume from baseline to 12 weeks. Following the randomized trial intervention period, participants from all groups used a NCSG from weeks 13 to 24. &#13;
Results:  One hundred and twenty women were enrolled, 118 completed the randomized trial, and 114 completed the 24-week follow-up. Adherence to the application of night-time compression was 95% (±15) and 96% (±11) in the CB and NCSG groups, respectively. Post-intervention, the addition of night-time compression was found to be superior to standard care for both absolute millilitre (p = 0.006) and percent reduction (p = 0.002) in excess arm lymphedema volume. Significant within group changes were seen for quality of life across all groups; however, no between group differences were found (p &gt; 0.05).&#13;
Discussion: The trial demonstrated a significant improvement in arm lymphedema volume from the addition of night-time compression whether through the application of compression bandaging or use of a night-time compression system garment. Given the benefit and high adherence rates seen in the trial, we recommend early introduction of night-time compression as a self-management strategy for breast cancer related lymphedema.</description><pubDate>2026-09-26</pubDate></item><item><title>Water Properties of Rivers and Coastal Sites in Eastern James Bay (Summer 2018 &amp; Summer 2019)</title><guid>/dataverse_sp/doi__10-5683_SP3_EMO4YJ.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_EMO4YJ.xml</link><description>Data were collected from rivers and coastal sites in eastern James Bay as part of the Coastal Habitat Comprehensive Research Project (CHCRP), territory of Eeyou Istchee, Quebec, Canada. The datasets include measurements from summer 2018 and 2019. Each dataset provides site codes, coordinates of the sampling locations, date of sampling, and a series of physico-chemical water properties collected from the subsurface, including nutrient concentrations, suspended particulate matter (SPM) concentration, salinity, and more.</description><pubDate>2026-09-25</pubDate></item><item><title>Data from: North America defies a global trend of reduced vascular plant diversity in extreme environments: Are Asteraceae responsible?</title><guid>/dataverse_sp/doi__10-5683_SP4_NU4L0X.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_NU4L0X.xml</link><description>&lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;&lt;em&gt;Premise of the study.&lt;/em&gt; It is generally assumed that more extreme environments are less habitable for a majority of organisms, leading to a decrease in biodiversity. However, definitions of extremeness are typically based on the abiotic tolerances of specific lineages, and thus may be partly circular and poorly applicable across global biodiversity. Here we test this assumption agnostic to biological definitions of extremeness.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Methods.&lt;/em&gt; We use upper and lower extremes of environmental variables on six continents to derive a set of 30 extreme abiotic stress layers that fall within nine extreme stress categories, each expected to affect the survival of terrestrial organisms. We compare these to vascular plant species richness.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Key results.&lt;/em&gt; While plant species richness decreases globally where extremes co-occur, the reverse is true in North America, where increased species richness is associated with regions where diverse types of extreme environmental conditions overlap. Data for the largest family of plants (Asteraceae) support this finding in North America, and suggest that the diversity of this family by itself contributes much to this pattern.  &lt;/p&gt;
&lt;p&gt;&lt;em&gt;Conclusions.&lt;/em&gt; Our results demonstrate how insights may be gained through approaches that define environmental extremes agnostic of organismal tolerances. While extreme environments do restrict plant diversity overall, by identifying regions where multiple extreme stressors co-occur, we can detect lineages that prosper under such conditions. Understanding of how extreme conditions have shaped plant diversity across the globe provides a historical context for shifting geographic distributions of extreme environmental conditions in the coming decades and centuries.&lt;/p&gt;</description><pubDate>2026-09-25</pubDate></item><item><title>Carriot, Mackrous, Cullen, Chacron, 2025</title><guid>/dataverse_sp/doi__10-5683_SP3_AFJFCK.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_AFJFCK.xml</link><description>Data for figures in Carriot, Mackrous, Cullen, Chacron 2025</description><pubDate>2026-09-25</pubDate></item><item><title>Replication Data for: Combustion Characteristics and Emission Factors of Trace Gases and Particulate Matter from Biomass Relevant to Canadian Wildfires: Overview of the 2024 BBCan Campaign</title><guid>/dataverse_sp/doi__10-5683_SP4_UILFMH.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_UILFMH.xml</link><description>This dataset contains the experimental data and analysis codes for the study “Combustion Characteristics and Emission Factors of Trace Gases and Particulate Matter from Biomass Relevant to Canadian Wildfires: Overview of the 2024 BBCan Campaign”. It includes the raw and processed numerical data used to generate all figures in the main manuscript and Supplementary Information.

Methods Overview: Biomass burning emissions were measured using online gas analyzers to monitor trace gases, including CO2, CO, SO2, NOx, NH3, and non-methane organic compounds (NMOC). The dataset also includes the raw data for the particle measurements. Alongside the instrument outputs, we have provided the custom codes (e.g., MATLAB scripts) used to process the raw data, apply baseline corrections, and perform the calculations discussed in the study. Full experimental details and instrument parameters are outlined in the manuscript.

Purpose: This dataset is provided to make our raw data openly available and to allow other researchers to reproduce the data processing, calculations, and figures presented in our study.</description><pubDate>2026-09-25</pubDate></item><item><title>A dataset for fall risk prediction and dual task performance evaluation in ecological conditions</title><guid>/dataverse_sp/doi__10-5683_SP3_MX2JD3.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_MX2JD3.xml</link><description>The proposed dataset contains data of 90 healthy older adults who performed single task walking and dual task walking while performing an additional cognitive task. Participants were filmed in the sagittal plane by one or two video cameras, and a pose estimation method was applied to the videos to obtain the position of points of interest during gait. Additional information regarding fall risk was also gathered. This dataset was created with the purpose of exploring the links between fall risk and dual task performance during walking in healthy older adults.</description><pubDate>2026-09-25</pubDate></item><item><title>Replication Data for: Nanoscale Chemistry of Magnetite Framboids in the Tarda Meteorite: A Proxy for Fluid Chemistry</title><guid>/dataverse_sp/doi__10-5683_SP3_FRXL9F.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_FRXL9F.xml</link><description>Atom probe tomography (APT) and scanning tunnelling electron microscopy energy dispersive spectroscopy (STEM/EDS) geochemistry dataset for magnetite in the Tarda meteorite</description><pubDate>2026-09-25</pubDate></item><item><title>CFDC S.75.02.06 Shark Vertebra CT data</title><guid>/dataverse_sp/doi__10-5683_SP4_XXAKDA.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_XXAKDA.xml</link><description>CT scan of vertebra #30 of CFDC S.75.02.06, a shark from the Pembina Member of the Pierre Shale, Manitoba, Canada.</description><pubDate>2026-09-25</pubDate></item><item><title>Data from: Spatio-temporal dynamics of ringed seal density and habitat use in the Arctic’s Last Ice Area</title><guid>/dataverse_sp/doi__10-5683_SP4_E6Z7KP.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_E6Z7KP.xml</link><description>&lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;Fisheries and Oceans Canada conducted aerial surveys between 2018 and 2024 in both spring and summer to quantify spatio-temporal variation in the density of the most abundant ice-associated mesopredator in the Arctic, ringed seals (&lt;em&gt;Pusa hispida&lt;/em&gt;), and to model their habitat use relative to several habitat characteristics. Ringed seal density estimates were calculated per aerial transect for each survey using the standard ratio. The table of ringed seal observations and habitat characteristics extracted along transect segments was used to model the habitat use of ringed seals using Generalized Linear Mixed Models. The density estimates and the habitat characteristics provide an index for monitoring potential future changes in ringed seal habitat use in this ecologically important region of the Arctic and across the broader extent of their range.&lt;/p&gt;</description><pubDate>2026-09-25</pubDate></item><item><title>Canadian Dataverse Admin Survey - Institutional (2023)</title><guid>/dataverse_sp/doi__10-5683_SP3_WZJXRN.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_WZJXRN.xml</link><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><pubDate>2026-09-25</pubDate></item><item><title>Données d'autorat et d'affiliation des documents savants sur Érudit, 2015-2025/Authorship and affiliation data for scholarly content on Érudit, 2015-2025</title><guid>/dataverse_sp/doi__10-5683_SP4_OS3WTW.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_OS3WTW.xml</link><description>Métadonnées des documents savants diffusés sur Érudit, couvrant la période 2015-2025.&lt;p&gt;&lt;p&gt;
&lt;i&gt;Document metadata for scholarly journals disseminated on Érudit, covering the 2015-2025 period.&lt;/i&gt;</description><pubDate>2026-09-25</pubDate></item><item><title>National Travel Survey, 2021: Person file [Canada]</title><guid>/odesi/doi__10-5683_SP3_D6MH4L.xml</guid><link>http://odesi.ca/en/details?id=/odesi/doi__10-5683_SP3_D6MH4L.xml</link><description>The National Travel Survey (NTS) provides statistics on the activities of Canadian residents related to domestic and international tourism. It was developed to measure the volume, the characteristics and the economic impact of tourism. For the Canadian System of National Accounts, the NTS measures the size of domestic travel in Canada from the demand side.  &lt;p&gt;The NTS was developed to fully replace the Travel Survey of Residents of Canada (TSRC record number 3810) and replace the Canadian resident component of the International Travel Survey (ITS record number 3152). The NTS collects information about the domestic and international travel of Canadian residents.&lt;/p&gt;  &lt;p&gt;The person file provides information on travellers and non-travellers, a traveller being a person aged 18 and over who took at least one trip ending in the reference month and a non-traveller being someone who did not take a trip ending in the reference month. Each respondent to the NTS has one record on the person file.&lt;/p&gt;  &lt;p&gt;The person microdata file includes basic socio-demographic information on both travellers and non-travellers. It can be used to produce simple socio-demographic profiles and to calculate travel incidences.&lt;/p&gt;  &lt;p&gt;The person microdata file does not provide information on the volume of trips or person-trips taken but rather on the volume of travellers and non-travellers. If a person travelled more than once during the reference period, that person will be counted as a traveller only once.&lt;/p&gt;</description><pubDate>2026-09-24</pubDate></item><item><title>National Travel Survey, 2024: Visit file [Canada]</title><guid>/odesi/doi__10-5683_SP4_3SVP6J.xml</guid><link>http://odesi.ca/en/details?id=/odesi/doi__10-5683_SP4_3SVP6J.xml</link><description>&lt;p&gt;The National Travel Survey (NTS) was developed to fully replace the Travel Survey of Residents of Canada (TSRC record number 3810) and replace the Canadian resident component of the International Travel Survey (ITS record number 3152). The National Travel Survey collects information about the domestic and international travel of Canadian residents.&lt;/p&gt;

&lt;p&gt;The National Travel Survey provides statistics on the activities of Canadian residents related to domestic and international tourism. It was developed to measure the volume, the characteristics and the economic impact of tourism. For the Canadian System of National Accounts, NTS measures the size of domestic travel in Canada from the demand side.

&lt;p&gt;The visit file provides information on place(s) visited by those travellers, whether it was their main destination or an overnight stop on their journey.  In addition to providing visit information, the visit file also includes reallocated household expenditures information. &lt;/p&gt;

&lt;p&gt;The visit concept is used to measure the number of person-visits to a specific location.  The visit file has at least two records per visit location for every person-trip found on the-trip file (origin and destination).&lt;/p&gt;</description><pubDate>2026-09-24</pubDate></item><item><title>National Travel Survey, 2024: Trip file [Canada]</title><guid>/odesi/doi__10-5683_SP4_B6VCDY.xml</guid><link>http://odesi.ca/en/details?id=/odesi/doi__10-5683_SP4_B6VCDY.xml</link><description>&lt;p&gt;The National Travel Survey (NTS) was developed to fully replace the Travel Survey of Residents of Canada 
(TSRC record number 3810) and replace the Canadian resident component of the International Travel 
Survey (ITS record number 3152). The National Travel Survey collects information about the domestic and 
international travel of Canadian residents.&lt;/p&gt;

&lt;p&gt;The National Travel Survey provides statistics on the activities of Canadian residents related to domestic 
and international tourism. It was developed to measure the volume, the characteristics and the economic 
impact of tourism.  For the Canadian System of National Accounts, NTS measures the size of domestic 
travel in Canada from the demand side.&lt;/p&gt;

&lt;p&gt;The trip file contains trip characteristics, for example, the origin, the main destination, the reason 
of the trip, the spending, etc. For each respondent on the person file, there is a trip record for 
every trip reported. If a respondent did not report any trips, there would be no trip records for that 
respondent on the trip file.&lt;/p&gt;</description><pubDate>2026-09-24</pubDate></item><item><title>National Travel Survey, 2024: Person file [Canada]</title><guid>/odesi/doi__10-5683_SP4_ACM25V.xml</guid><link>http://odesi.ca/en/details?id=/odesi/doi__10-5683_SP4_ACM25V.xml</link><description>&lt;p&gt;The National Travel Survey (NTS) was developed to fully replace the Travel Survey of Residents of Canada (TSRC record number 3810) and replace the Canadian resident component of the International Travel Survey (ITS record number 3152). The National Travel Survey collects information about the domestic and international travel of Canadian residents.&lt;/p&gt;

&lt;p&gt;The National Travel Survey provides statistics on the activities of Canadian residents related to domestic and international tourism. It was developed to measure the volume, the characteristics and the economic impact of tourism. For the Canadian System of National Accounts, NTS measures the size of domestic travel in Canada from the demand side.&lt;/p&gt;

&lt;p&gt;The person file provides information on travellers and non-travellers, a traveller being a person aged 18 and over who took at least one trip ending in the reference month and a non-traveller being someone who did not take a trip ending in the reference month. Each respondent to the NTS has one record on the person file whether they have travelled within the reference period or not. The person microdata file includes basic socio-demographic information on both travellers and non-travellers. It can be used to produce simple socio-demographic profiles and to calculate travel incidences. For example, what is the age or gender of travellers versus non-travellers? What percentage of the population 55 years of age and over travelled? The person microdata file does not provide information on the volume of trips or person-trips taken but rather on the volume of travellers and non-travellers. If a person travelled more than once during the reference period, that person will be counted as a traveller only once.&lt;/p&gt;</description><pubDate>2026-09-24</pubDate></item><item><title>National Travel Survey, 2023: Trip file [Canada]</title><guid>/odesi/doi__10-5683_SP3_ZPJHF2.xml</guid><link>http://odesi.ca/en/details?id=/odesi/doi__10-5683_SP3_ZPJHF2.xml</link><description>&lt;p&gt;The National Travel Survey (NTS) was developed to fully replace the Travel Survey of Residents of Canada (TSRC record number 3810) and replace the Canadian resident component of the International Travel Survey (ITS record number 3152). The National Travel Survey collects information about the domestic and international travel of Canadian residents.&lt;/p&gt;

&lt;p&gt;The National Travel Survey provides statistics on the activities of Canadian residents related to domestic and international tourism. It was developed to measure the volume, the characteristics and the economic impact of tourism. For the Canadian System of National Accounts, NTS measures the size of domestic travel in Canada from the demand side.&lt;/p&gt;

&lt;p&gt;The trip file contains trip characteristics, for example, the origin, the main destination, the reason of the trip, the spending, etc. For each respondent on the person file, there is a trip record for every trip reported. If a respondent did not report any trips, there would be no trip records for that respondent on the trip file.&lt;/p&gt;</description><pubDate>2026-09-24</pubDate></item><item><title>National Travel Survey, 2021: Visit file [Canada]</title><guid>/odesi/doi__10-5683_SP3_FDYVEZ.xml</guid><link>http://odesi.ca/en/details?id=/odesi/doi__10-5683_SP3_FDYVEZ.xml</link><description>The National Travel Survey (NTS) provides statistics on the activities of Canadian residents related to domestic and international tourism. It was developed to measure the volume, the characteristics and the economic impact of tourism. For the Canadian System of National Accounts, the NTS measures the size of domestic travel in Canada from the demand side.  &lt;p&gt;The NTS was developed to fully replace the Travel Survey of Residents of Canada (TSRC record number 3810) and replace the Canadian resident component of the International Travel Survey (ITS record number 3152). The NTS collects information about the domestic and international travel of Canadian residents.&lt;/p&gt;  &lt;p&gt;The visit file provides information on place(s) visited by those travellers, whether it was their main destination or an overnight stop on their journey. In addition to providing visit information, the visit file also includes reallocated household expenditures information.&lt;/p&gt;  &lt;p&gt;The visit concept is used to measure the number of person-visits to a specific location. The visit file has at least two records per visit location for every person-trip found on the-trip file (origin and destination).&lt;/p&gt;</description><pubDate>2026-09-24</pubDate></item><item><title>National Travel Survey, 2023: Visit file [Canada]</title><guid>/odesi/doi__10-5683_SP3_UBGKWZ.xml</guid><link>http://odesi.ca/en/details?id=/odesi/doi__10-5683_SP3_UBGKWZ.xml</link><description>&lt;p&gt;The National Travel Survey (NTS) was developed to fully replace the Travel Survey of Residents of Canada (TSRC record number 3810) and replace the Canadian resident component of the International Travel Survey (ITS record number 3152). The National Travel Survey collects information about the domestic and international travel of Canadian residents.&lt;/p&gt;

&lt;p&gt;The National Travel Survey provides statistics on the activities of Canadian residents related to domestic and international tourism. It was developed to measure the volume, the characteristics and the economic impact of tourism. For the Canadian System of National Accounts, NTS measures the size of domestic travel in Canada from the demand side.&lt;/p&gt;

&lt;p&gt;The visit file provides information on place(s) visited by those travellers, whether it was their main destination or an overnight stop on their journey. In addition to providing visit information, the visit file also includes reallocated household expenditures information. The visit concept is used to measure the number of person-visits to a specific location. The visit  file has at least two records per visit location for every person-trip found on the-trip file (origin and destination). &lt;/p&gt;</description><pubDate>2026-09-24</pubDate></item><item><title>National Travel Survey, 2021: Trip file [Canada]</title><guid>/odesi/doi__10-5683_SP3_PHCXHB.xml</guid><link>http://odesi.ca/en/details?id=/odesi/doi__10-5683_SP3_PHCXHB.xml</link><description>The National Travel Survey (NTS) provides statistics on the activities of Canadian residents related to domestic and international tourism. It was developed to measure the volume, the characteristics and the economic impact of tourism. For the Canadian System of National Accounts, the NTS measures the size of domestic travel in Canada from the demand side.  &lt;p&gt;The NTS was developed to fully replace the Travel Survey of Residents of Canada (TSRC record number 3810) and replace the Canadian resident component of the International Travel Survey (ITS record number 3152). The NTS collects information about the domestic and international travel of Canadian residents.&lt;/p&gt;  &lt;p&gt;The trip file contains trip characteristics, for example, the origin, the main destination, the reason of the trip, the spending, etc. For each respondent on the person file, there is a trip record for every trip reported. If a respondent did not report any trips, there would be no trip records for that respondent on the trip file.&lt;/p&gt;</description><pubDate>2026-09-24</pubDate></item><item><title>CITF SARS-CoV-2 Vaccination Harmonization Protocol</title><guid>/dataverse_sp/doi__10-5683_SP3_IRKBFE.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_IRKBFE.xml</link><description>&lt;p&gt;This repository contains the protocol and supporting metadata schema used to harmonize SARS-CoV-2 vaccination information contributed by studies supported by the COVID-19 Immunity Task Force (CITF). The materials document the standardized variables, permissible values, harmonization-status classifications, and transformation rules applied in preparing the frozen CITF Databank release v1.0. Individual-level participant data are not included.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Harmonization protocol&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The primary document is the CITF SARS-CoV-2 Vaccination Harmonization Protocol, version 1.0. It describes:&lt;/p&gt;

&lt;ul&gt;
  &lt;li&gt;the scope of vaccination-data harmonization;&lt;/li&gt;
  &lt;li&gt;data sources and participant-inclusion criteria;&lt;/li&gt;
  &lt;li&gt;the target harmonized variables;&lt;/li&gt;
  &lt;li&gt;mapping of study-specific variables to CITF Core Data Elements;&lt;/li&gt;
  &lt;li&gt;harmonization-status classifications;&lt;/li&gt;
  &lt;li&gt;the dose-event-level structure of the harmonized dataset;&lt;/li&gt;
  &lt;li&gt;data-quality and validation procedures; and&lt;/li&gt;
  &lt;li&gt;governance, access, and versioning requirements.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;strong&gt;Metadata schema&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The repository includes the CITF vaccination Core Data Element schema, version 1.0. The schema defines six target variables:&lt;/p&gt;

&lt;ul&gt;
  &lt;li&gt;participant identifier;&lt;/li&gt;
  &lt;li&gt;study-reported vaccine-dose number;&lt;/li&gt;
  &lt;li&gt;vaccination date;&lt;/li&gt;
  &lt;li&gt;vaccine type;&lt;/li&gt;
  &lt;li&gt;free-text specification of other vaccine types; and&lt;/li&gt;
  &lt;li&gt;additional comments associated with the vaccination record.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;The schema also documents variable labels, value types, date formats, permissible vaccine-type categories, acceptable data sources, and harmonization instructions.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Dataset structure&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The harmonized vaccination dataset is organized at the dose-event level. Each record represents one administered vaccine dose. A participant who received multiple doses is therefore represented by multiple records. Each record contains the participant identifier and, where available, the study-reported dose number, administration date, vaccine type, and supporting free-text information.&lt;/p&gt;

&lt;p&gt;Records are linked to participants and to the other CITF harmonized datasets using the participant identifier, which incorporates the study identifier within its structure.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Harmonization rules&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;During harmonization, study-specific vaccination variables are mapped to the standardized CITF schema. Variables that directly match a target variable are mapped without transformation. Compatible source variables are transformed to the target format according to documented rules.&lt;/p&gt;

&lt;p&gt;Study-reported dose numbers are retained and are not reassigned solely on the basis of vaccination dates. When a dose number is not clearly reported, it is recorded as missing. Records are not reordered solely to create an apparently chronological dose sequence.&lt;/p&gt;

&lt;p&gt;Distinct vaccination dates are retained even when the interval between doses appears unusual. When conflicting dates are reported for the same dose, both dates may be retained with the dose number set to missing until clarification is received from the contributing study. When different vaccine types are reported for the same dose date, the value from the earliest data-collection event is provisionally retained, subject to confirmation by the contributing study. Information confirmed by the contributing study supersedes these provisional rules.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Quality control&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Quality-control procedures include:&lt;/p&gt;

&lt;ul&gt;
  &lt;li&gt;validation of participant identifiers;&lt;/li&gt;
  &lt;li&gt;non-negativity checks for dose numbers;&lt;/li&gt;
  &lt;li&gt;validation of vaccination dates and date components;&lt;/li&gt;
  &lt;li&gt;review of permissible vaccine-type categories;&lt;/li&gt;
  &lt;li&gt;assessment of conflicting information across data-collection events;&lt;/li&gt;
  &lt;li&gt;detection of duplicate vaccination records; and&lt;/li&gt;
  &lt;li&gt;review of apparent chronological inconsistencies.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Chronological inconsistencies are flagged for review but do not result in automatic reassignment of study-reported dose numbers. These procedures constitute dataset-level harmonization and quality control and do not independently verify vaccination against external clinical or administrative records.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Data access&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Individual-level vaccination data are held under controlled access and are not included in this repository. Access to restricted data requires a formal request to the CITF Data Access Office and is subject to applicable institutional approvals, consent conditions, governance requirements, and data-sharing agreements.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Protocol version:&lt;/strong&gt; 1.0&lt;br&gt;
&lt;strong&gt;Metadata schema version:&lt;/strong&gt; 1.0&lt;br&gt;
&lt;strong&gt;Databank release:&lt;/strong&gt; v1.0&lt;br&gt;</description><pubDate>2026-09-24</pubDate></item><item><title>CITF Harmonized Databank – Release v1.0</title><guid>/dataverse_sp/doi__10-5683_SP4_95CYQX.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_95CYQX.xml</link><description>&lt;p&gt;This metadata record describes Release v1.0 of the harmonized datasets maintained by the COVID-19 Immunity Task Force (CITF) Databank. The release consists of three linkable data domains: the Baseline Questionnaire, Vaccination, and Serology datasets.&lt;/p&gt;

&lt;p&gt;The Baseline Questionnaire dataset contains harmonized participant-level demographic, health, COVID-19 exposure, testing, and related questionnaire information. The Vaccination dataset contains repeated dose-level COVID-19 vaccination records. The Serology dataset contains repeated assay-level SARS-CoV-2 antibody measurements and associated assay metadata.&lt;/p&gt;

&lt;p&gt;The harmonized datasets were produced from contributing CITF-supported studies using standardized Core Data Elements, study-specific data dictionaries, documented harmonization protocols, and rule-based quality-control procedures. Detailed study-level coverage, dataset characteristics, and bibliographic references are reported in the associated CITF Databank manuscript.&lt;/p&gt;

&lt;p&gt;Individual-level data are not publicly deposited in this record because they contain sensitive participant information and are governed by institutional ethics approvals, participant consent, data-sharing agreements, and CITF data-access policies.&lt;/p&gt;

&lt;p&gt;Researchers may explore available studies and metadata through the &lt;a href="https://databank.citf.mcgill.ca/"&gt;CITF Databank website&lt;/a&gt;. Requests for access to controlled individual-level data must be submitted through the &lt;a href="https://portal.citf.mcgill.ca/"&gt;CITF Data Access Portal&lt;/a&gt; and are subject to administrative and scientific review and completion of the applicable data-access requirements.&lt;/p&gt;

&lt;p&gt;This record provides a persistent reference for the frozen Release v1.0 of the CITF harmonized Databank. Supporting harmonization protocols, metadata schemas, validation documentation, governance materials, and reproducible workflow code are available through the related Borealis records.&lt;/p&gt;</description><pubDate>2026-09-24</pubDate></item><item><title>CITF SARS-CoV-2 Serology Harmonization Protocol</title><guid>/dataverse_sp/doi__10-5683_SP3_FMWOG2.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_FMWOG2.xml</link><description>&lt;p&gt;This repository contains the protocol and supporting documentation used to harmonize SARS-CoV-2 serology data contributed by studies supported by the COVID-19 Immunity Task Force (CITF). The materials document the standardized variables, terminology, permissible values, assay metadata, harmonization-status classifications, and transformation rules applied in preparing the frozen CITF Databank release v1.0. Individual-level participant data are not included.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Harmonization protocol&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The primary document is the CITF SARS-CoV-2 Serology Harmonization Protocol, version 2.8. It describes:&lt;/p&gt;

&lt;ul&gt;
  &lt;li&gt;the scope of the serology harmonization process;&lt;/li&gt;
  &lt;li&gt;the target harmonized variables;&lt;/li&gt;
  &lt;li&gt;the mapping of study-specific variables to CITF Core Data Elements;&lt;/li&gt;
  &lt;li&gt;harmonization-status classifications;&lt;/li&gt;
  &lt;li&gt;the structure of the harmonized serology dataset;&lt;/li&gt;
  &lt;li&gt;data-quality and validation procedures; and&lt;/li&gt;
  &lt;li&gt;governance, access, and versioning requirements.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;The repository also includes the CITF serology Core Data Element schema and supporting serological assay metadata. The reporting guide is included as source-data reporting guidance used by contributing studies.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Dataset structure&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The harmonized serology dataset is organized at the result level. Each record represents one assay result for one participant. A participant may therefore have multiple records corresponding to different specimens, assays, or time points.&lt;/p&gt;

&lt;p&gt;The target schema includes participant, specimen, and assay identifiers; specimen and assay characteristics; specimen-collection and assay dates; units of measurement; quantitative results; standardized binding antibody units where available; qualitative interpretations; assay measurement limits; and result-level quality-control indicators.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Harmonization and quality control&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;During harmonization, study-specific serology variables are mapped to the standardized CITF schema. Records are linked to standardized assay metadata using the CITF assay identifier. Quality-control procedures include:&lt;/p&gt;

&lt;ul&gt;
  &lt;li&gt;validation of participant, specimen, and assay identifiers;&lt;/li&gt;
  &lt;li&gt;standardization and validation of dates, units, and categorical values;&lt;/li&gt;
  &lt;li&gt;review of assay metadata;&lt;/li&gt;
  &lt;li&gt;assessment of quantitative ranges;&lt;/li&gt;
  &lt;li&gt;duplicate-record detection; and&lt;/li&gt;
  &lt;li&gt;evaluation of internal consistency.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;These procedures constitute dataset-level harmonization and quality control. They do not represent laboratory re-testing or independent biological validation of assay performance.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Scope limitations&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Cell-mediated immunity data are outside the scope of this protocol and are not included in the harmonized serology dataset for Release v1.0. Neutralizing-antibody variables are also excluded from the harmonized dataset for this release.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Data access&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Individual-level serology data are held under controlled access and are not included in this repository. Access to restricted data requires a formal request to the CITF Data Access Office and is subject to applicable institutional approvals, consent conditions, governance requirements, and data-sharing agreements.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Protocol version:&lt;/strong&gt; 2.8&lt;br&gt;
&lt;strong&gt;Databank release:&lt;/strong&gt; v1.0&lt;br&gt;
&lt;strong&gt;Release date:&lt;/strong&gt; February 2026&lt;/p&gt;</description><pubDate>2026-09-24</pubDate></item><item><title>IndiQ-AVC: Jeu de données clinico-administratives multicentriques sur la prise en charge interdisciplinaire en phase aiguë de l'AVC ischémique au Québec / IndiQ-AVC: Multicenter clinical and administrative dataset on interdisciplinary acute phase management of ischemic stroke in Quebec</title><guid>/dataverse_sp/doi__10-5683_SP4_QXM1KH.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_QXM1KH.xml</link><description>Ces données proviennent d’une étude doctorale au cours de laquelle des informations ont été extraites des dossiers de santé de 132 patients hospitalisés pour un AVC entre le 1er décembre 2022 et le 31 mai 2023 dans trois centres québécois de désignation différente en soins de l’AVC (niveaux 3, 4 et 5). Le présent jeu de données découle de la base de données IndiQ-AVC, développée à partir d’un ensemble d’indicateurs de qualité cliniques et organisationnels sélectionnés à la suite d’un examen de la portée et d’un processus de consensus Delphi auprès d’experts. La base de données IndiQ-AVC comprend à la fois des données cliniques (liées aux patients), comme les caractéristiques sociodémographiques, les résultats de santé et les facteurs de risque, ainsi que des données administratives (de nature organisationnelle ou économique), notamment des informations sur les trajectoires de soins, les délais de prise en charge et la durée du séjour. Les données sont issues de huit catégories d'indicateurs : les caractéristiques sociodémographiques, les caractéristiques cliniques, les facteurs de risque, les trajectoires de soins et les délais, les évaluations, les complications survenues durant l’hospitalisation, les données au congé, ainsi que l’orientation et l’enseignement au congé. Cette base de données a contribué à la production de deux publications scientifiques. La première portait sur la qualité des données de santé, notamment l’ampleur des données manquantes et les types de variables pouvant être mesurées à partir des dossiers de santé. La seconde présentait une évaluation descriptive de l’adhésion aux indicateurs de qualité ainsi que des résultats associés à la prise en charge interdisciplinaire en phase aiguë de l’AVC ischémique. // Des considérations éthiques empêchent la mise à disposition publique de ces données. Vous pouvez cliquer sur « Contacter le ou la propriétaire » pour en faire la demande, sous certaines conditions.These data originate from a doctoral study in which information was extracted from the health records of 132 patients hospitalized for stroke between December 1, 2022, and May 31, 2023, in three Quebec stroke centres with different levels of stroke care designation (levels 3, 4, and 5). The present dataset is derived from the IndiQ-AVC database, which was developed based on a set of clinical and organizational quality indicators selected through a scoping review and a Delphi consensus process involving experts. The IndiQ-AVC database includes both clinical (patient-related) data, such as sociodemographic characteristics, health outcomes, and risk factors, and administrative (organizational and economic) data, including information on care trajectories, treatment delays, and length of stay. The data come from eight categories of indicators: sociodemographic characteristics, clinical characteristics, risk factors, care trajectories and delays, assessments, in-hospital complications, discharge data, and discharge referrals and education. This database contributed to the production of two scientific publications. The first focused on the quality of health data, particularly the extent of missing data and the types of variables that can be measured using health records. The second presented a descriptive evaluation of adherence to quality indicators and outcomes associated with interdisciplinary acute ischemic stroke care. //
Ethical considerations prevent data from being publicly available. You may click on the “Contact owner” button to request access under specific conditions.</description><pubDate>2026-09-24</pubDate></item><item><title>CITF Harmonization and Validation Code – Release v1.0</title><guid>/dataverse_sp/doi__10-5683_SP3_EPL6JB.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_EPL6JB.xml</link><description>&lt;p&gt;This repository contains the code and supporting documentation used to support the harmonization and validation of the COVID-19 Immunity Task Force (CITF) national SARS-CoV-2 immunity datasets, Release v1.0. The materials are shared to support transparency and reproducibility. Individual-level participant data are not included.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Data quality and harmonization workflow code&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The repository includes R code documenting the standardized data-quality and harmonization procedures applied to contributing study datasets. The workflow covers:&lt;/p&gt;

&lt;ul&gt;
  &lt;li&gt;data ingestion from multiple file formats;&lt;/li&gt;
  &lt;li&gt;assessment of participant identifier completeness and validity;&lt;/li&gt;
  &lt;li&gt;identifier uniqueness checks where appropriate for the dataset structure;&lt;/li&gt;
  &lt;li&gt;duplicate-record detection;&lt;/li&gt;
  &lt;li&gt;missing-value standardization;&lt;/li&gt;
  &lt;li&gt;column-name cleaning;&lt;/li&gt;
  &lt;li&gt;date conversion and range checks;&lt;/li&gt;
  &lt;li&gt;numeric-range validation;&lt;/li&gt;
  &lt;li&gt;categorical-value review;&lt;/li&gt;
  &lt;li&gt;cross-file record linkage;&lt;/li&gt;
  &lt;li&gt;wide-to-long restructuring of repeated measurements; and&lt;/li&gt;
  &lt;li&gt;PostgreSQL operations used to write harmonized outputs to the relational database.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;The code was developed using R version 4.5.0. File paths and database connection parameters are represented by configurable placeholders and must be adapted to the user’s local environment. Database credentials, internal server addresses, and participant-level data are not included in the repository.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Validation rules&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The repository includes documentation of the rule-based checks applied during harmonization and validation. The checks are organized into six stages:&lt;/p&gt;

&lt;ol&gt;
  &lt;li&gt;data-ingestion checks;&lt;/li&gt;
  &lt;li&gt;schema and Core Data Element alignment;&lt;/li&gt;
  &lt;li&gt;serology metadata and plausibility checks;&lt;/li&gt;
  &lt;li&gt;internal-consistency checks;&lt;/li&gt;
  &lt;li&gt;cross-study comparability assessment; and&lt;/li&gt;
  &lt;li&gt;documentation, provenance, and version control.&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;For each rule, the documentation describes the acceptance criterion and the action taken when the criterion is not met. These procedures constitute dataset-level quality control. They do not represent laboratory re-testing or independent biological validation of assay performance.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Metadata schemas&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The repository includes the CITF Core Data Element schemas for the baseline questionnaire, vaccination, and serology harmonized domains. The schemas define the relevant variables, labels, value types, units, and permitted categories. Supporting serological assay metadata and code lists are included where relevant.&lt;/p&gt;

&lt;p&gt;Study-specific source variables are mapped to the CITF Core Data Elements according to defined rules for recoding, non-negativity, range constraints, date-component validation, duplicate handling, and assessment of the chronological consistency of repeated events. Study-reported event and vaccination-dose numbers are retained and are not reassigned solely on the basis of event dates.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Data management and access&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Original study datasets were transferred through McGill University’s secure file-exchange environment, processed using the R-based harmonization workflow, and stored in a PostgreSQL relational database to support structured data management and release versioning.&lt;/p&gt;

&lt;p&gt;Access to restricted participant-level datasets requires a formal request to the CITF Data Access Office and is subject to applicable institutional approvals, consent conditions, governance requirements, and data-sharing agreements.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Release:&lt;/strong&gt; v1.0&lt;br&gt;
&lt;strong&gt;Release date:&lt;/strong&gt; February 1, 2026&lt;/p&gt;</description><pubDate>2026-09-24</pubDate></item><item><title>Technical Sheets for Recipes Developed through the 'Breakfast and Beyond' Program</title><guid>/dataverse_sp/doi__10-5683_SP4_AK1DVO.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_AK1DVO.xml</link><description>This resource provides comprehensive technical documentation for food recipes developed for the school breakfast and meal programs through the 'Breakfast and Beyond' project at Mount Saint Vincent University. Each technical sheet provides standardized recipe information, including ingredients, preparation methods, serving sizes, nutritional analysis (Nutrition Facts Table), Nutri-Score rating, food safety considerations, allergen information, and cost and yield data. (2026-09-22). The 'Breakfast &amp; Beyond' project was funded by Medavie.</description><pubDate>2026-09-24</pubDate></item><item><title>CITF Baseline Questionnaire Harmonization Protocol</title><guid>/dataverse_sp/doi__10-5683_SP3_OI6B1X.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_OI6B1X.xml</link><description>&lt;p&gt;This repository contains the protocol and supporting metadata schema used to harmonize baseline questionnaire information contributed by studies supported by the COVID-19 Immunity Task Force (CITF). The materials document the standardized variables, permissible values, harmonization-status classifications, and transformation principles applied in preparing the frozen CITF Databank release v1.0. Individual-level participant data are not included.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Harmonization protocol&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The primary document is the CITF Baseline Questionnaire Harmonization Protocol, version 3.5. On the CITF Data Portal, this protocol is registered as CITF-Questionnaire1-HP. It describes:&lt;/p&gt;

&lt;ul&gt;
  &lt;li&gt;the scope of baseline questionnaire harmonization;&lt;/li&gt;
  &lt;li&gt;data sources and participant-inclusion criteria;&lt;/li&gt;
  &lt;li&gt;the target harmonized variables and areas of information;&lt;/li&gt;
  &lt;li&gt;mapping of study-specific variables to CITF Core Data Elements;&lt;/li&gt;
  &lt;li&gt;harmonization-status classifications;&lt;/li&gt;
  &lt;li&gt;the participant-level structure of the harmonized dataset;&lt;/li&gt;
  &lt;li&gt;data-quality and validation procedures; and&lt;/li&gt;
  &lt;li&gt;governance, access, and versioning requirements.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;strong&gt;Metadata schema&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The repository includes the CITF baseline questionnaire Core Data Element schema, version 3.4. The schema defines 170 target variables and their associated labels, value types, units, permitted categories, missing-value designations, and related metadata.&lt;/p&gt;

&lt;p&gt;The target variables cover the following areas of information:&lt;/p&gt;

&lt;ul&gt;
  &lt;li&gt;administrative information;&lt;/li&gt;
  &lt;li&gt;sociodemographic characteristics;&lt;/li&gt;
  &lt;li&gt;lifestyle and behavioural characteristics;&lt;/li&gt;
  &lt;li&gt;physical measures;&lt;/li&gt;
  &lt;li&gt;perception of health and quality of life;&lt;/li&gt;
  &lt;li&gt;health and community-care use;&lt;/li&gt;
  &lt;li&gt;symptoms and signs;&lt;/li&gt;
  &lt;li&gt;laboratory measures;&lt;/li&gt;
  &lt;li&gt;medication and supplements;&lt;/li&gt;
  &lt;li&gt;physical and cognitive functioning;&lt;/li&gt;
  &lt;li&gt;health conditions; and&lt;/li&gt;
  &lt;li&gt;COVID-19 vaccination information reported through the baseline questionnaire.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;strong&gt;Dataset structure&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The harmonized baseline questionnaire dataset is organized at the participant level. Each record represents one participant’s baseline information from the initial questionnaire or chart-review data-collection event. Where relevant information was collected through more than one source instrument, the information is consolidated into a single baseline record.&lt;/p&gt;

&lt;p&gt;Records are linked to participants and to the other CITF harmonized datasets using the participant identifier. A separate study identifier is retained to support study identification and data provenance.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Harmonization and quality control&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;During harmonization, study-specific questionnaire variables are mapped to the standardized CITF schema. Variables that directly match a target variable are mapped without transformation. Compatible source variables are transformed to the target format according to documented rules. Variables that were not collected or could not be validly mapped are assigned the applicable harmonization status.&lt;/p&gt;

&lt;p&gt;Quality-control procedures include:&lt;/p&gt;

&lt;ul&gt;
  &lt;li&gt;validation of participant and study identifiers;&lt;/li&gt;
  &lt;li&gt;assessment of record uniqueness at the participant level;&lt;/li&gt;
  &lt;li&gt;standardization of missing values and categorical values;&lt;/li&gt;
  &lt;li&gt;numeric range and non-negativity checks;&lt;/li&gt;
  &lt;li&gt;validation of date values and date components;&lt;/li&gt;
  &lt;li&gt;duplicate-record detection; and&lt;/li&gt;
  &lt;li&gt;assessment of internal consistency.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;These procedures constitute dataset-level harmonization and quality control. They do not replace verification against the contributing studies’ original source records.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Data access&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Individual-level baseline questionnaire data are held under controlled access and are not included in this repository. Access to restricted data requires a formal request to the CITF Data Access Office and is subject to applicable institutional approvals, consent conditions, governance requirements, and data-sharing agreements.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Protocol version:&lt;/strong&gt; 3.5&lt;br&gt;
&lt;strong&gt;Metadata schema version:&lt;/strong&gt; 3.4&lt;br&gt;
&lt;strong&gt;Databank release:&lt;/strong&gt; v1.0&lt;br&gt;</description><pubDate>2026-09-24</pubDate></item><item><title>Replication Data for: Contrast between adjoining stands drives timber harvest edge effects on boreal birds</title><guid>/dataverse_sp/doi__10-5683_SP4_FH7WY6.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_FH7WY6.xml</link><description>Analysis-ready data supporting a study of boreal bird communities at regenerating harvest edges. The dataset includes inputs for a 34-species multispecies occupancy model using detections within 150 m at 189 transects, four 25-species datasets for detection-radius sensitivity analyses (75, 100, 125, and 150 m), and prepared 150-m Hill-number diversity and community-dissimilarity data. Each occupancy-model file contains the Stan input, species names and order, and location and transect metadata. These are prepared analysis inputs; raw audio recordings, original WildTrax exports, and spatial data are not included. Analysis scripts are available at https://github.com/IsabelleLebTay/regenerating-harvest-edges.git.</description><pubDate>2026-09-24</pubDate></item><item><title>Replication data for: Vegetation shifts in boreal ombrotrophic peatlands following road construction</title><guid>/dataverse_sp/doi__10-5683_SP4_AMDZD0.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_AMDZD0.xml</link><description>Field data were collected in the Minganie and Basse-Côte-Nord, Quebec, Canada, peatlands in july 2022. These data support the article "Vegetation shifts in boreal ombrotrophic peatlands following road construction" by Bouffard et al. Submitted to Applied Vegetation Science DOI: XXX.
The dataset comprises vascular plant, bryophyte and lichen cover data collected from 541 plots distributed across 14 peatlands. It also includes contextual observations (peatland type, surficial deposit, road age, presence of watercourses, etc.) and environmental measurements (pH, electrical conductivity, water table depth, and peat thickness). Plot locations are provided as geographic coordinates in NAD83.
The complete R code used for statistical analyses and figure preparation is included.
This project was funded by the MTMD grant 4502-21-RF01 (project R856.1).
This research data is related to Ariane Bouffard's doctoral thesis (Environmental Sciences, UQAM).</description><pubDate>2026-09-24</pubDate></item><item><title>Aquatic assemblages, environmental variables, and land use data from a Brazilian semi-arid non-perennial river (2018–2019)</title><guid>/dataverse_sp/doi__10-5683_SP3_7PWO9G.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_7PWO9G.xml</link><description>This dataset contains biological, environmental, spatial, and land use data collected from a semi-arid non-perennial river in northeastern Brazil between 2018 and 2019. The data were collected in multiple river sections distributed across six sampling sites and sampled during two campaigns.

Biological data include species composition and abundance of fish and aquatic macroinvertebrates sampled using trawl nets and Surber samplers, respectively. Environmental data include limnological variables (e.g., water temperature, dissolved oxygen, pH, electrical conductivity, turbidity, salinity, and redox potential) and habitat characteristics (e.g., river depth, section width, macrophyte cover, substrate composition, and shading).

Land use and land cover data for riparian areas were obtained from the MapBiomas project. Spatial data include geographic coordinates of sampling sites and dendritic distances along the river network, which were used to generate asymmetric eigenvector maps (AEM).

The dataset includes raw observational data as well as derived data products (ordination scores and spatial eigenvectors) used in statistical analyses. All scripts necessary to reproduce data processing and analyses are provided and can be run using the files included in this repository.</description><pubDate>2026-09-24</pubDate></item><item><title>CITF Databank Data Governance and Consent Documents</title><guid>/dataverse_sp/doi__10-5683_SP3_8PFCPE.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_8PFCPE.xml</link><description>&lt;p&gt;This repository contains governance, controlled-access, data-security, and consent guidance documents developed for the COVID-19 Immunity Task Force (CITF) Databank. The materials document the requirements applied to the deposit, management, protection, and approved secondary use of coded participant-level data held by the Databank. Individual-level participant data are not included in this repository.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Data governance and controlled-access documents&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The repository includes the CITF Data Access Policy, the CITF Data Security Policy, a diagram describing the controlled-access application and review process, and a template Data Access Agreement. Together, these documents describe:&lt;/p&gt;

&lt;ul&gt;
  &lt;li&gt;applicant eligibility and application requirements;&lt;/li&gt;
  &lt;li&gt;review by the Data Access Office and Data Access Committee;&lt;/li&gt;
  &lt;li&gt;institutional and research-ethics requirements;&lt;/li&gt;
  &lt;li&gt;permitted uses of CITF data;&lt;/li&gt;
  &lt;li&gt;privacy, confidentiality, and data-security obligations;&lt;/li&gt;
  &lt;li&gt;security-incident and data-breach reporting;&lt;/li&gt;
  &lt;li&gt;management of project amendments;&lt;/li&gt;
  &lt;li&gt;publication and acknowledgment requirements; and&lt;/li&gt;
  &lt;li&gt;data retention and destruction requirements.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;The Data Access Agreement is provided as an unexecuted template for documentation purposes. It does not constitute an active agreement and must not be completed or executed without confirmation from the CITF Databank and the appropriate McGill University office.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Consent guidance&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The repository also includes English and French guidance for prospective and retrospective consent. The prospective consent guidance, dated October 7, 2020, identifies the consent elements recommended for studies contributing coded data to the CITF Databank and includes a model informed-consent form.&lt;/p&gt;

&lt;p&gt;The retrospective consent guidance, dated October 29, 2020, provides an assessment framework for determining whether previously collected data and samples may be contributed under existing consent, research-ethics authorization, participant re-consent, or an approved waiver of consent.&lt;/p&gt;

&lt;p&gt;These consent documents are preserved as historical guidance reflecting the governance framework used during the establishment and operation of the CITF Databank. They should not be interpreted as replacing current institutional requirements, research-ethics review, applicable consent conditions, data-sharing agreements, or legal advice.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Data access&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Researchers seeking access to controlled participant-level data must follow the current application process established by the CITF Databank. Access is granted only after the required administrative, scientific, ethical, and institutional review and execution of the applicable agreement.&lt;/p&gt;

&lt;p&gt;For current information about the CITF Databank and its controlled-access procedures, visit &lt;a href="https://databank.citf.mcgill.ca"&gt;https://databank.citf.mcgill.ca&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Repository contents&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
  &lt;li&gt;CITF Data Access Policy, Version 2.0&lt;/li&gt;
  &lt;li&gt;CITF Data Security Policy, Version 1.0&lt;/li&gt;
  &lt;li&gt;CITF Data Access Process Diagram&lt;/li&gt;
  &lt;li&gt;CITF Data Access Agreement Template&lt;/li&gt;
  &lt;li&gt;CITF Prospective Consent Guidance – English, October 7, 2020&lt;/li&gt;
  &lt;li&gt;CITF Prospective Consent Guidance – French, October 7, 2020&lt;/li&gt;
  &lt;li&gt;CITF Retrospective Consent Guidance – English, October 29, 2020&lt;/li&gt;
  &lt;li&gt;CITF Retrospective Consent Guidance – French, October 29, 2020&lt;/li&gt;
&lt;/ul&gt;</description><pubDate>2026-09-24</pubDate></item><item><title>Gustavo Saposnik's Publications</title><guid>/dataverse_sp/doi__10-5683_SP4_XDVKU8.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_XDVKU8.xml</link><description>Gustavo Saposnik's Publications</description><pubDate>2026-09-24</pubDate></item><item><title>Fish larvae auditory capacity and their response to anthropogenic sounds</title><guid>/dataverse_sp/doi__10-5683_SP4_WH42DX.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_WH42DX.xml</link><description>This data bundle contains the three datasets used to produce Figures 2–4 of the MSC thesis of F. Girard at UQTR. It combines published hearing-threshold measurements for larvae of 22 fish species, classified into four auditory-specialization groups, with field data from experiments examining larval responses to sound treatments. The field datasets include information on larval abundance, body length, taxonomic or auditory group, sampling site, and sound treatment under peak- and low-abundance conditions. Together, these datasets support analyses of how larval size and auditory specialization relate to hearing capacity and responses to anthropogenic sounds.</description><pubDate>2026-09-23</pubDate></item><item><title>Replication data: Within-herd prevalence and temporal changes of bovine leukosis in Québec dairy herds.</title><guid>/dataverse_sp/doi__10-5683_SP4_XBQAFC.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_XBQAFC.xml</link><description>This dataverse contained the anonymized dataset and R script used in the associated article.</description><pubDate>2026-09-23</pubDate></item><item><title>Data Quality Flags for ACE-FTS Level 2 Version 5.3 Data Set</title><guid>/dataverse_sp/doi__10-5683_SP3_57JLUB.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP3_57JLUB.xml</link><description>Data quality flags generated for the Atmospheric Chemistry Experiment Fourier Transform Spectrometer (ACE-FTS) Level 2 (L2) version 5.3 data products. These data quality flags are generated using the technique described in Sheese et al. (2015).
One netCDF file is produced for each species, isotopologue or parameter retrieved from the ACE-FTS spectra for version 5.3. Each file contains the data quality flags organized by occultation (orbit number and occultation type). Note, the ACE-FTS Level 2 version 5.3 profiles are not included in these files.
The data quality flag files are updated monthly as new Level 2 version 5.3 data are produced for ACE-FTS.</description><pubDate>2026-09-23</pubDate></item><item><title>Supporting Data for “An Evidence-Informed Framework for Prioritizing Lighting Design in Dementia Care Environments”</title><guid>/dataverse_sp/doi__10-5683_SP4_BSJWDI.xml</guid><link>http://odesi.ca/en/details?id=/dataverse_sp/doi__10-5683_SP4_BSJWDI.xml</link><description>This dataset contains supporting data for the study “An Evidence-Informed Framework for Prioritizing Lighting Design in Dementia Care Environments.” It includes the literature coding used to identify key lighting variables and the Analytic Hierarchy Process (AHP) calculations used to derive stage-specific priorities for early-stage and moderate/late-stage dementia. The AHP materials include pairwise comparison matrices, normalization procedures, priority weights, rankings, and consistency calculations for illuminance, glare control, daylight availability, lighting uniformity, and correlated colour temperature (CCT).</description><pubDate>2026-09-23</pubDate></item></channel></rss>