cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5683/sp3/cetxfb
title: Chronic circadian disruption alters cardiac function and glucose regulation in mice

description: Data files for our manuscript :Gearey, Wang, Antle "Chronic circadian disruption alters cardiac function and glucose regulation in mice"

Cardiometabolic disease is a leading cause of death worldwide. One factor that may contribute to the risk, onset, and severity of symptoms is disrupted circadian rhythms. Our study uses two strains of mice to further elucidate this relationship: healthy controls, and a mouse model of insulin resistance with short freerunning periods (~22.75hrs) and enlarged hearts, raised in either a 24-hour or 22.75-hour LD cycle. Through glucose and insulin tolerance tests, routine electrocardiograms from 1-4 months old, and histology, we reveal worse cardiometabolic health outcomes for mice gestated and housed in a mismatched LD cycle compared to those in an LD cycle that matches their endogenous rhythm. This was characterized by heightened blood glucose levels following a glucose or insulin bolus, altered electrophysiological parameters of the cardiac waveform, and increased cardiomyocyte size. Circadian disruption due to work/social schedules or circadian-related disorders in people is often confounded with other unhealthy lifestyles. The present study demonstrates that circadian disruption on its own can lead to adverse health states.

The data sets included here look at:
1. Mouse ECG measured at 1, 2, and 4 months of age
2. Blood glucose levels following a challenge with Insulin (0.75IU/kg IP) at 3 months of age
3. Blood glucose levels following a challenge with glucose (2g/kg IP) at 3 months of age
4. body weight
5. Heart anatomy at 6 months of age.
description: Accepted for Publication March 5th, 2025
DOI: 10.5683/sp3/yuupka
title: 2km Resolution 3D Biogeochemical & Physical Oceanographic Model Predictions For British Columbia 1993-2022

description: IMPORTANT NOTICE: THESE OUTPUTS HAVE NOT BEEN VALIDATED AGAINST OBSERVATIONAL DATA. THE DATA SHOULD NOT BE USED WITHOUT INDEPENDENT VALIDATION IN YOUR AREA OF INTEREST.
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This repository contains annual mean data from a specialized version of the "Live Ocean" Regional Ocean Modelling System (ROMS) model adapted for the entire west coast of Canada using specific forcing sources to generate 2km resolution hindcasts of oceanographic variables from 1993 to 2022. LiveOcean (LO), a research initiative by the University of Washington Coastal Modelling group, utilizes ROMS to conduct detailed, realistic simulations of the U.S. West Coast. The LO code is publicly available on GitHub (https://github.com/parkermac/LO) and further details on the model can be found within MacCready et al., 2021 (https://doi.org/10.1029/2020JC016738). LO simulates a wide range of oceanographic parameters at hourly intervals including currents, salinity, temperature, acidification, and concentrations of key chemicals like nitrate, oxygen, and carbon. It also models biological fields, such as phytoplankton, zooplankton and organic particles. Information on each output variable is included within the Data_Dictionary.pdf. 
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The model grid, with its 2 km horizontal resolution, is vertically structured with 30 layers extending from the sea surface to the seafloor. The vertical grid is uneven and dynamic, varying over both space and time. Information on how to transform and define the vertical dimensions (s_rho and s_w) can be found at the following pages:
&lt;br&gt;- https://docs.xarray.dev/en/stable/examples/ROMS_ocean_model.html
&lt;br&gt;- https://www.myroms.org/wiki/Vertical_S-coordinate
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Please note that this specialized BC model set-up has not been peer-reviewed or published in the primary literature. For further information on the model please see the enclosed README.pdf. 
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More temporally resolved data can be made available upon request.
DOI: 10.5683/sp3/xwzmnw
title: Terminology in ecology and evolutionary biology disproportionately harms marginalized groups

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;The discipline of ecology and evolutionary biology (EEB) has long grappled with issues of inclusivity and representation, particularly for individuals with systematically excluded and marginalized backgrounds or identities. For example, significant representation disparities still persist that disproportionately affect women and gender minorities; Black, Indigenous, and People of Color; individuals with disabilities; and people who are LGBTQIA+. Recent calls for action have urged the EEB community to directly address issues of representation, inclusion, justice, and equity. One aspect of this endeavor is to examine the use of EEB’s discipline-specific language and terminology, which may have the potential to perpetuate unjust systems and isolate marginalized groups. Through a mixed-methods survey, we examined how members of the EEB community perceive discipline-specific terminology, including how they believe it can be harmful and which terms they identified as problematic. Of the 795 survey respondents, we found that almost half agreed that there are harmful terms in EEB, and that many individuals from marginalized groups responded that they have been harmed by such terminology. Most of the terms identified as harmful relate to race, ethnicity, and immigration; sex and gender; geopolitical hierarchies; and historical violence. Our findings suggest there is an urgent need for EEB to confront and critically reassess its discipline-specific terminology. By identifying harmful terms and their impacts, our study represents a crucial first step toward dismantling deeply rooted exclusionary structures in EEB. We encourage individuals, communities, and institutions to use these findings to reevaluate language used in disciplinary research, teaching and mentoring, manuscripts, and professional societies. Rectifying current harms in EEB will help promote a more just and inclusive discipline.&lt;/p&gt;
description: <b>Dryad version number:</b> 4
<b>Version status:</b> submitted
<b>Dryad curation status:</b> Published
<b>Sharing link:</b> http://datadryad.org/stash/dataset/doi:10.5061/dryad.5x69p8dcv
<b>Storage size:</b> 68915
<b>Visibility:</b> public
DOI: 10.5683/sp3/ompxc0
title: A Prospective Multi-Site Observational Study of SARS-CoV-2 Vaccination Immunogenicity in Patients with Hematologic Malignancies [VIP, study data contributed to the CITF Databank]

description: &lt;b&gt;Background:&lt;/b&gt; Individuals with blood cancers have weakened immune systems due to their disease and treatments, putting them at higher risk of death for COVID-19. An effective vaccine is important to protect them from infection; however, major COVID-19 vaccine trials did not include this population. Therefore, it was not known if people with or treated for blood cancers develop a protective antibody response after vaccination, or if it would last as long as in the general population. &lt;br&gt;

 

&lt;b&gt;Aims of the CITF-funded study:&lt;/b&gt; This study aimed to quantify the humoral immune response to the SARS-CoV-2 vaccine and to describe Grade 2-4 adverse events following immunization in patients with hematologic malignancies. &lt;br&gt;

 

&lt;b&gt;Methods:&lt;/b&gt; This cohort study enrolled patients with hematologic malignancies aged 18 and older from hematology clinics in participating hospitals in Edmonton, Montreal, Ottawa, and Toronto. Participants completed an online questionnaire and provided a dried blood spot sample at baseline and during each follow-up—approximately 90, 180, 270, and 360 days after their second COVID-19 vaccine. Blood samples were also collected 28 days after any additional COVID-19 vaccination dose. &lt;br&gt;

 

&lt;b&gt;Contributed dataset contents:&lt;/b&gt; The datasets include 751 participants who completed baseline questionnaires between August 2021 and August 2023. 95% of participants gave one or more blood samples for SARS-CoV-2 serology between September 2021 and February 2023. Variables include data in the following areas of information: demographics (age, gender, race-ethnicity and indigeneity, region, education, occupation), general health (smokes; chronic disease; height and weight; flu vaccine), SARS-CoV-2 vaccination, clinical characteristics, and serology.
description: Data Access Portal (https://portal.citf.mcgill.ca/data-access-process)
DOI: 10.5683/sp3/i9a7ry
title: The Canadian COVID-19 Cohort Study for people working in healthcare [CCCS study data contributed to the CITF Databank]

description: &lt;b&gt;Background:&lt;/b&gt; There is a lack of data on the rates of infection with SARS-CoV-2 and risk factors for infection in healthcare workers (HCW), who are at high risk of exposure. This knowledge is important to mitigate risk factors and protect their communities in- and out-side the workplace by improving protective guidelines. &lt;br&gt;

 

&lt;b&gt;Aims of the CITF-funded study:&lt;/b&gt; This study aimed to identify risk factors for contracting SARS-CoV-2 in the workplace, household, and personal environments to assess the variance in risk due to exposure. The objectives were 1) to determine the incidence of symptomatic and asymptomatic infection; 2) study the use and effectiveness of vaccines in HCWs; 3) determine the pattern of immune responses over time via serology; and 4) to measure the mental health impact of working during a pandemic. &lt;br&gt;

 

&lt;b&gt;Methods:&lt;/b&gt; This cohort study enrolled full and part-time HCWs between the ages of 18 and 75 in Alberta, Nova Scotia, Ontario, and Quebec recruited via internal institutional advertisements and social media. A serum or dried blood spot sample was collected at enrolment, 30 days after receipt of each COVID-19 vaccine and each positive PCR or RAT, and every six months thereafter to assess IgG antibody levels. Participants completed questionnaires at enrolment regarding risk factors, vaccinations, past infections. Questionnaires were every 10 weeks to collect exposure data and as needed to collect vaccination and illness information. &lt;br&gt;

 

&lt;b&gt;Contributed dataset contents:&lt;/b&gt; The datasets include 2164 participants who completed baseline questionnaires between June 2020 and March 2022. 87% of participants gave one or more blood samples for SARS-CoV-2 serology over this period. Variables include data in the following areas of information: demographics (age, gender, race-ethnicity and indigeneity, province, household, education, occupation), general health (smokes; asthma, lung disease, or other chronic disease diagnosis; height and weight; flu vaccine), SARS-CoV-2 vaccination, and serology.
description: Data Access Portal (https://portal.citf.mcgill.ca/data-access-process)
DOI: 10.5683/sp3/mu666p
title: Engage-COVID-19: A mixed Methods Study of Biomedical, Behavioural, and Psychosocial Aspects of the COVID-19 Pandemic Among Gay, Bisexual, and Other Men Who Have Sex with Men in Canada [study data contributed to the CITF Databank]

description: &lt;b&gt;Background:&lt;/b&gt; Gay, bisexual, and other men who have sex with men (GBM) experience systemic marginalization and many barriers to healthcare, leading to significant healthcare disparities. It was unknown if they were more vulnerable to COVID-19, and if a failure to respond to their unique physical and mental health needs would exacerbate existing health disparities. The Engage-COVID-19 study leveraged the larger Engage Cohort Study conducted by researchers studying HIV and sexual health among GBM based at Canadian universities, public health, and community organizations. &lt;br&gt;

&lt;b&gt;Aims of the CITF co-funded study: &lt;/b&gt;The study aimed to identify biomedical, behavioural, and psychosocial risk factors for contracting COVID-19, document SARS-CoV-2 immunity in HIV positive and negative participants, and characterize the clinical syndrome and severity of those with immunity. It also aimed to understand the application and understanding of COVID-19 mitigation strategies in GBM and investigate the impact of the pandemic on mental health, loneliness, sexual behaviours, substance use patterns, and access to essential healthcare. [1] &lt;br&gt;

&lt;b&gt;Methods:&lt;/b&gt; This cohort study recruited individuals across Vancouver, British Columbia, Toronto, Ontario, and Montreal, Quebec who self-identified as a gay or bisexual man, including transgender GBM, and who reported having sex with another man in the past 6 months. Participants in the COVID-19 sub-study provided blood samples and responded to questionnaires in two waves of data collection, over the span of approximately 21 months. &lt;br&gt;

&lt;b&gt;Contributed dataset contents: &lt;/b&gt;The datasets include 2,518 participants who completed baseline questionnaires since Feb 2017. A total of 1,564 participants had study visits during the Engage COVID-19 data collection period (09/2020–06/2022), and gave one or more blood samples in the same timeframe. A total of 2,719 serology samples were collected. Variables include data in the following areas of information: demographics (age, gender, ethnicity and indigeneity), general health (smoking; chronic disease diagnoses; flu vaccine), SARS-CoV-2 vaccination, adherence to COVID-19 prevention public health guidelines (physical distancing, remote working, wearing a mask), and serology. &lt;br&gt;

[1]: Please contact original study team for these mental health and behaviour data (daniel.grace@utoronto.ca).
description: See Data Access Portal (https://portal.citf.mcgill.ca/data-access-process)
DOI: 10.5683/sp3/rvauh5
title: Ku-gaa-gii pimitizi-win COVID-19 Cohort Study [Ku-gaa-gii pimitizi-win, study data contributed to the CITF Databank]

description: &lt;b&gt;Background:&lt;/b&gt; The COVID-19 pandemic had the potential to make shelters an environment of high transmission due to crowding, shared space, and high turnover, where those with pre-existing chronic conditions might have experienced poor outcomes if they contracted COVID-19. This study focuses on people experiencing homelessness (PEH) in Toronto, the largest city in Canada. &lt;br&gt;

&lt;b&gt;Aims of the CITF co-funded study:&lt;/b&gt; This study aimed to determine the prevalence and incidence of COVID-19 among PEH in Toronto over a 12-month period to examine the association between housing history and individual and shelter level history and COVID-19 infection, potential risk factors, and vaccination. [1] &lt;br&gt;

They also conducted a sub-study on vaccine uptake attitudes and hesitancy. [2] &lt;br&gt;

&lt;b&gt;Methods:&lt;/b&gt; This cohort study enrolled participants over the age of 16 who were identified as experiencing homelessness (unsheltered, emergency sheltered, or provisionally accommodated) during recruitment. Recruitment was done from June 2021 to September 2021 at 61 physical distancing hotels and shelter programs for youth aged 16-24, adults, and families, as well as at one encampment site. At the time of recruitment, participants completed a baseline interview and provided two self-collected saliva samples and one finger-prick blood sample. Blood samples were collected in a plasma tube or as a dried blood spot when needed. At follow-up visits every three months, a saliva and finger-prick blood sample were collected, and time-sensitive interview variables were updated. &lt;br&gt;

&lt;b&gt;Contributed dataset contents:&lt;/b&gt; The datasets include 660 participants who completed baseline interviews during the recruitment period. All participants gave one or more blood samples for SARS-CoV-2 serology between June 2021 and October 2022 (at baseline and follow-up visits). Variables include data in the following areas of information: demographics (age, gender, race-ethnicity, province, occupation), general health (smokes; chronic disease diagnoses; BMI; flu vaccine), housing history, SARS-CoV-2 vaccination, behaviours related to COVID-19, and serology. &lt;br&gt;

 

[1]: Anishanawbe Health Toronto are the data stewards for data from participants identifying as First Nations, Inuit, or Metis. &lt;br&gt;

[2]: Please contact original study team for vaccination attitude data.
description: See Data Access Portal (https://portal.citf.mcgill.ca/data-access-process)
DOI: 10.5683/sp3/xskdew
title: Postal Code Conversion File [Canada], July 1996, Census of Canada 1991
title: Postal Code Conversion File [Canada], July 1996
title: PCCF [Canada], July 1996
title: Fichier de conversion des codes postaux [Canada], juillet 1996

description: &lt;p&gt;The Postal Code Conversion File (PCCF) is a digital file which provides the correspondence between the six character code and Statistics Canada's standard geographical areas (e.g. Census divisions, Census subdivisions, Federal Electoral Districts) for which census data and other statistics are produced. &lt;/p&gt; 

&lt;p&gt;To obtain the postal code conversion file or for questions, consult the &lt;a href="https://www.statcan.gc.ca/eng/dli/contact" target="_blank"&gt; DLI contact&lt;/a&gt; at your educational institution.&lt;/p&gt;

&lt;p&gt;The current version of the PCCF links over 787,000 postal code records, created up to the end of July 1996, to the geographical areas used in the 1991 Census and to Universal Transverse Mercator System (UTM) coordinates and latitude/longitude coordinates. This new version contains a new field called the single postal code indicator. This field will be useful in cases where a given postal code is assigned to multiple standard geographic areas. It indicates which of the standard geographic units is the most representative of the postal code. &lt;/p&gt; 

&lt;p&gt;The purpose of the PCCF is to provide linkage capabilities that can be used for numerous applications, such as market research, demographic studies and geocoding applications. The file allows users to cross-reference geographic coordinates, census areas, and user-defined areas. For example, one of its key strengths lied in its capacity to integrate census data with user data. For more information on this product or some of its applications, please refer to the 'Products and Services Manual' or contact the Regional Geographer at one of our Regional Reference Centres across Canada.
&lt;/p&gt; 

&lt;p&gt;During the 1970s, there was an increasing demand for a large variety of statistics for small areas. To aggregate data by geographic areas, different types of address elements were examined manually, or by computer, in order to properly assign a geographical code. This assignment was complicated by the great variety of address formats on data files and spelling variations in street names.&lt;/p&gt;

&lt;p&gt;The introduction of the postal code in the mid-1970s has led to an entirely new approach. The postal code could be used as a structured representation of a range of mailing addresses. If the postal codes were matched to a standard geographic unit once, and the results retained in a lookup table, then the complex task of structuring and matching addresses could be avoided.&lt;/p&gt;
description: Postal Code Conversion File
DOI: 10.5683/sp3/7p9qih
title: Postal Code Conversion File [Canada], October 1999, Census of Canada 1996
title: Postal Code Conversion File, October 1999
title: PCCF[Canada], October 1999
title: Fichier de conversion des codes postaux [Canada], octobre 1999

description: &lt;p&gt;The Postal Code Conversion File (PCCF) is a digital file, which provides a correspondence between the six character postal code and Statistics Canada's standard geographical 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;To obtain the postal code conversion file or for questions, consult the &lt;a href="https://www.statcan.gc.ca/eng/dli/contact" target="_blank"&gt; DLI contact&lt;/a&gt; at your educational institution.&lt;/p&gt;

&lt;p&gt;The geographic co-ordinates 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 marketing, planning, or research purposes.&lt;/p&gt; 

&lt;p&gt;In April 1983, the Geography Division released the first version of the Postal Code Conversion File, which linked postal codes to census geographic areas and included geographic coordinates. Since then, the file has been updated on a regular basis to reflect postal code changes provided by Canada Post Corporation.&lt;/p&gt; 

&lt;p&gt;Every five years, the postal code linkages on the PCCF are “converted” to the latest census geographic areas. The original PCCF was linked to the 1981 Census geographic areas. Since then, the PCCF has undergone three “conversions”, following the 1986, 1991 and 1996 censuses. An automated system was developed for the 1991-1996 conversion. Also, for the first time, the 1996 Census reported postal codes were used to validate the PCCF links.&lt;/p&gt;
description: Postal Code Conversion File
DOI: 10.5683/sp3/j6s7pg
title: OBRC data schema: Feed analysis reports

description: This is a data schema created using &lt;a href="http://agrifooddatacanada.ca"&gt;Agri-food Data Canada's&lt;/a&gt; &lt;a href= "https://semanticengine.org"&gt; Semantic Engine &lt;a/&gt;. Data schemas describe data that are collected on an ongoing basis from research centres, and provide add-on documentation that enhances the value of raw data. This schema is used to collect and organize data from reports of feed analysis from all samples, including information about diets and ingredients. Analysis is done by A&L Lab Canada. Data described in this schema is sample data, to request access to the related data, please visit the &lt;a href="https://obrcdata.uoguelph.ca"&gt; Ontario Beef Research Centre Data Portal&lt;/a&gt;. Note: variables "company_name" and "customer_n" are excluded from the sample data file as these contain sensitive information.
description: Agri-food Data Canada's Semantic Engine
DOI: 10.5683/sp3/m6z40w
title: OBRC data schema: Feed dry matter analysis

description: This is a data schema created using &lt;a href="http://agrifooddatacanada.ca"&gt;Agri-food Data Canada's&lt;/a&gt; &lt;a href= "https://semanticengine.org"&gt; Semantic Engine &lt;a/&gt;. Data schemas describe data that are collected on an ongoing basis from research centres, and provide add-on documentation that enhances the value of raw data. This schema is used to record and organize data from dry matter percentage analysis for beef cattle diets. This analysis is performed by A&L Lab Canada. Data described in this schema is sample data, to request access to the related data, please visit the &lt;a href="https://obrcdata.uoguelph.ca"&gt; Ontario Beef Research Centre Data Portal&lt;/a&gt;.
description: Agri-food Data Canada's Semantic Engine
DOI: 10.5683/sp3/d8zsfd
title: OBRC data schema: Apollo feed system

description: This is a data schema created using &lt;a href="http://agrifooddatacanada.ca"&gt;Agri-food Data Canada's&lt;/a&gt; &lt;a href= "https://semanticengine.org"&gt; Semantic Engine &lt;a/&gt;. Data schemas describe data that are collected on an ongoing basis from research centres, and provide add-on documentation that enhances the value of raw data. This schema is used to collect Raw data from Insentec's daily VR files. Every time an animal visits an Insentec bin a record is created. Therefore each file has all visits made by all animals to all bins on a given day. These files are appended to this table every day. Data described in this schema is sample data, to request access to the related data, please visit the &lt;a href="https://obrcdata.uoguelph.ca"&gt; Ontario Beef Research Centre Data Portal&lt;/a&gt;.
description: Agri-food Data Canada's Semantic Engine