AndreaBozzo/ceres-open-data-index huggingface dataset:
Satisfaction with the balance between work and home by age group, sex and employment type, Canada, provinces and regions

<p>This table contains 42120 series, with data for years 2016 - 2016 (not all combinations necessarily have data for all years).     This table contains data described by the following dimensions (Not all combinations are available):  Geography (13 items: Canada; Atlantic provinces; Newfoundland and Labrador; Prince Edward Island; ...);&nbsp; Age group (10 items: Total, 15 years and over; 15 to 24 years; 25 to 54 years; 25 to 34 years; ...);&nbsp; Sex (3 items: Both sexes; Males; Females);&nbsp; Employment type (3 items: Total, employment type; Paid worker; Self-employed);&nbsp; Response (9 items: Total, satisfaction with work-home balance; Very satisfied or satisfied; Very satisfied; Satisfied; ...);&nbsp; Estimates (4 items: Number of persons; Percentage of persons; Low 95% confidence interval, percent; High 95% confidence interval, percent).<br></p>

Organization: Statistics Canada | Statistique Canada
Great Lakes Water Quality Monitoring and Aquatic Ecosystem Health Data

Water quality and ecosystem health data collected using a risk-based monitoring approach to support the Great Lakes Water Quality Agreement are included in this dataset. By conducting regular, systematic measurements of the physical, chemical and biological conditions of the Great Lakes Environment and Climate Change Canada (ECCC) is able to: measure the natural changes and conditions of water quality; determine changes over time, at various locations, of water contaminants and/or threats; support development of science-based guidelines for water, fish, and sediment; identify emerging issues and threats; track the results of remedial measures and regulatory decisions; report and assess science results through performance indicators and in an Open Science environment to support an ecosystem approach to environmental and resource management in the Great Lakes. Data are collected by Environment and Climate Change Canada to meet federal commitments related to the Great Lakes as transboundary waters crossing, inter- provincial and international borders under the authorities of the Department of the Environment Act, the Canada Water Act, the Canadian Environmental Protection Act, 1999 and the Boundary Waters Treaty including the commitments under the Canada-United States Great Lakes Water Quality Agreement.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Wet Deposition Maps

Patterns of wet deposition of the nitrate (NO3), non-sea-salt sulfate (xSO4) and ammonium (NH4) ions across areas of Canada and the United States are based on measurements of precipitation depth and ion concentrations in precipitation samples. xSO4 refers to the wet deposition of sulfate with the sea-salt sulfate contribution removed at coastal sites. These measurements were collected and quality controlled by their respective networks: in Canada, the federal Canadian Air and Precipitation Monitoring Network (CAPMoN) and provincial or territorial networks in Alberta, New Brunswick, the Northwest Territories, Nova Scotia, Ontario and Quebec. In the United States, wet deposition measurements were made by two coordinated networks: the National Atmospheric Deposition Program (NADP) / National Trends Network (NTN) and the NADP/Atmospheric Integrated Research Monitoring Network (AIRMoN). Only data from sites that were designated as regionally representative were used in the mapping. Wet deposition amounts were interpolated by ordinary kriging using ArcMap Geostatistical Analyst. The map is limited to the contiguous U.S. and southeastern or southern Canada because outside that region, the interpolation error exceeds 30% due to the larger distances between stations. Links to annual and five-year average maps are available in the associated resources.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Overqualification (based on skill level C and D) by visible minority, selected sociodemographic characteristics and the census year: Canada, geographical regions of Canada, provinces and territories and census metropolitan areas with parts

Overqualification (based on skill level C and D) by visible minority and selected characteristics (age group, gender, first official language spoken, immigrant status, period of immigration, generation status and highest certificate, diploma or degree), for the population aged 15 years and over in private households in Canada, geographical regions of Canada, provinces and territories and census metropolitan areas with parts.<br>

Organization: Statistics Canada | Statistique Canada
Youth not in education, employment or training by visible minority, selected sociodemographic characteristics and the census year: Canada, geographical regions of Canada, provinces and territories and census metropolitan areas with parts

Youth not in education, employment or training by visible minority and selected characteristics (age group, gender, first official language spoken, immigrant and generation status), for the population aged 15 to 29 years old in private households in Canada, geographical regions of Canada, provinces and territories and census metropolitan areas with parts.

Organization: Statistics Canada | Statistique Canada
Highest level of education by visible minority, selected sociodemographic characteristics and the census year: Canada, geographical regions of Canada, provinces and territories and census metropolitan areas with parts

Highest certificate, diploma or degree by visible minority and selected characteristics (age group, gender, first official language spoken, immigrant status, period of immigration, generation status), for the population aged 15 years and over in private households in Canada, geographical regions of Canada, provinces and territories, census metropolitan areas with parts.

Organization: Statistics Canada | Statistique Canada
Perceived health, by gender and other selected sociodemographic characteristics

Percentage of persons aged 15 years and over by perceived health, by gender and other selected sociodemographic characteristics: age group; immigrant status; visible minority group; Indigenous identity; persons with a disability, difficulty or long-term condition; LGBTQ2+ people; highest certificate, diploma or degree; main activity; and urban and rural areas.
<br>

Organization: Statistics Canada | Statistique Canada
Perceived mental health, by gender and other selected sociodemographic characteristics

Percentage of persons aged 15 years and over by perceived mental health, by gender and other selected sociodemographic characteristics: age group; immigrant status; visible minority group; Indigenous identity; persons with a disability, difficulty or long-term condition; LGBTQ2+ people; highest certificate, diploma or degree; main activity; and urban and rural areas.
<br>

Organization: Statistics Canada | Statistique Canada
Hydrokinetic Resource Mapping - Optical Satellite Imagery Analysis of Open Water Regions in Ice-Covered Canadian Rivers

Building on the initial effort (“Database of Open Water Areas in River Ice for Provinces of Manitoba, Ontario, Quebec, and the Maritimes - Potential Locations For River Hydrokinetic Energy Extraction Identified Through Optical Satellite Imager”; weblink: https://search.open.canada.ca/openmap/d9823004-29aa-40e2-aa47-9c54cf88c309), a follow-up research project has led to the publication of this extensive analysis encompassing the entirety of Canada’s major freezing rivers. This work has applied advanced image processing and classification algorithms to the selected images, elevating the classification and analysis to a higher level of accuracy and providing a more comprehensive dataset for exploring river hydrokinetic energy prospects across the country.  
  
  This dataset identifies open water areas within ice-covered major Canadian rivers, aiming to evaluate potential hydrokinetic resources. The data is derived from high-resolution optical satellite imagery obtained from Landsat and Sentinel satellites corresponding to National Research Council (NRC) 2014 flow data of river reaches with water depths of at least 10 meters and a flow velocity of a minimum of 0.5 meters per second. Using advanced image processing and machine learning algorithms, the dataset efficiently differentiates between ice-covered and open water regions, providing a reliable basis for assessing hydrokinetic energy potential in the identified areas.  
  
  Disclaimer:  
  
  This dataset is subject to the following limitations:  
  
  •	Landsat and Sentinel optical satellite images are high-resolution, but they may contain resolution errors, possible distortions, and inaccuracies in depicting on-ground conditions.   
  
  •	Despite advanced image processing and machine learning algorithms, errors or biases may exist.   
  
  •	The dataset's reliability is also influenced by the NRC flow data.  
  
  Therefore, users should view this dataset as a preliminary assessment tool, not a definitive guide for decision-making or investment in hydrokinetic projects. It is strongly recommended to validate its accuracy and suitability for specific applications through additional research and studies.   
  
  By accessing and using this dataset, users acknowledge and accept these disclaimers. The providers of this dataset explicitly absolve themselves of any responsibility or liability for any consequences arising from the use, reliance upon, or interpretation of this dataset. Users are advised that their use of the dataset is at their own risk, and they assume full responsibility for any actions or decisions made based on the information contained therein. This disclaimer is in accordance with applicable laws and regulations, and by accessing or utilizing the dataset, users agree to release the providers of this dataset from any legal claims, damages, or liabilities that may arise from such use.

Organization: Natural Resources Canada | Ressources naturelles Canada
Dataset of Open Water Areas in River Ice for Provinces of Manitoba, Ontario, Quebec, and the Maritimes - Potential Locations for River Hydrokinetic Energy Extraction Identified Through Optical Satellite Imagery

Locations of open water within river ice in Manitoba, Ontario, Quebec, and the Maritimes were discerned manually using publicly accessible optical satellite images spanning from 2013 to 2020. This initial effort has led to a dataset pinpointing potential sites for river hydrokinetic energy initiatives.  
  
  A more comprehensive dataset encompassing the entirety of Canada’s major freezing rivers has also been developed entitled “Hydrokinetic Resource Mapping - Optical Satellite Imagery Analysis of Open Water Regions in Ice-Covered Canadian Rivers” and is available at (https://search.open.canada.ca/openmap/61b4e576-9f3a-49a1-9546-b29be14787a4).   
  
  Disclaimer:  
  
  The identification of open water locations within river ice in Manitoba, Ontario, Quebec, and the Maritimes, as described, was conducted manually through the analysis of publicly available optical satellite images.  This dataset is subject to the following limitations:  
  
  1- The manual identification method may introduce potential human error and subjectivity within the dataset.   
  
  2- The publicly accessible satellite images employed may not provide fully comprehensive or entirely accurate representations of the actual conditions in the identified locations due to image resolution constraints, cloud cover, or atmospheric interference.   
  
  This dataset is intended for preliminary assessment and should not be the sole basis for making critical decisions or investments related to hydrokinetic energy projects.  Further validation and in-depth analysis are strongly recommended, and users should conduct their own due diligence and additional research to verify the data accuracy and relevance for specific applications.   
  
  By accessing and using this dataset, users acknowledge and accept these disclaimers. The providers of this dataset explicitly absolve themselves of any responsibility or liability for any consequences arising from the use, reliance upon, or interpretation of this dataset. Users are advised that their use of the dataset is at their own risk, and they assume full responsibility for any actions or decisions made based on the information contained therein. This disclaimer is in accordance with applicable laws and regulations, and by accessing or utilizing the dataset, users agree to release the providers of this dataset from any legal claims, damages, or liabilities that may arise from such use.

Organization: Natural Resources Canada | Ressources naturelles Canada
Hydrokinetic Resource Assessment: Open Water Regions in Ice-Covered Rivers for Off-grid Diesel-Reliant Communities

This dataset uses RADARSAT Constellation Mission (RCM) Synthetic Aperture Radar (SAR) satellite images to identify open water regions within ice-covered rivers during winter, with the aim to assess hydrokinetic resources near remote communities reliant on diesel fuel for electricity generation. The data is processed with the HyRASS, a machine learning-based SAR image processing and classification algorithm.  
  
  Disclaimer:  
  
  This dataset was designed to identify open water regions within ice-covered rivers for assessing hydrokinetic resources near remote communities reliant on diesel fuel for electricity generation and is subject to the following limitations:   
  
  •	This dataset was derived from RADARSAT Constellation Mission (RCM) Synthetic Aperture Radar (SAR) satellite images. While these images are generally reliable, they are subject to inherent limitations, including resolution constraints, potential distortion, and occasional inaccuracies in real-time conditions capture.   
  
  •	The HyRASS algorithm is designed to pinpoint open water areas using satellite images, with a particular emphasis on RCM quad polarization (QP) imagery. This specialization means that its effectiveness depends on the accessibility of this specific type of imagery. Consequently, the data it produces might not cover a broad spectrum of time periods. For more reliable results, it's essential to classify areas more regularly, ensuring that detected open water regions are consistent over time.  
  
  This dataset is intended for preliminary assessment and should not be the sole basis for making critical decisions or investments related to hydrokinetic energy projects.  Further validation and in-depth analysis are strongly recommended, and users should conduct their own due diligence and additional research to verify the data accuracy and relevance for specific applications.   
  
  By accessing and using this dataset, users acknowledge and accept these disclaimers. The providers of this dataset explicitly absolve themselves of any responsibility or liability for any consequences arising from the use, reliance upon, or interpretation of this dataset. Users are advised that their use of the dataset is at their own risk, and they assume full responsibility for any actions or decisions made based on the information contained therein. This disclaimer is in accordance with applicable laws and regulations, and by accessing or utilizing the dataset, users agree to release the providers of this dataset from any legal claims, damages, or liabilities that may arise from such use.

Organization: Natural Resources Canada | Ressources naturelles Canada
Briefing Package for the hearing before the Standing Committee on Public Accounts on 2024 Report 1, ArriveCAN, of the Auditor General of Canada, with PSPC. March 7, 2024

Briefing Package for the hearing before the Standing Committee on Public Accounts on 2024 Report 1, ArriveCAN, of the Auditor General of Canada, with PSPC. March 7, 2024

Organization: Office of the Auditor General of Canada | Bureau du vérificateur général du Canada
Briefing Package for the hearing before the Standing Committee on Public Accounts on 2024 Report 1, ArriveCAN, of the Auditor General of Canada, with TBS. March 6, 2024

Briefing Package for the hearing before the Standing Committee on Public Accounts on 2024 Report 1, ArriveCAN, of the Auditor General of Canada, with TBS. March 6, 2024

Organization: Office of the Auditor General of Canada | Bureau du vérificateur général du Canada
Briefing Package for the hearing before the Standing Committee on Public Accounts on 2024 Report 1, ArriveCAN, of the Auditor General of Canada, with the Office of the Procurement Ombudsman. February 27, 2024

Briefing Package for the hearing before the Standing Committee on Public Accounts on 2024 Report 1, ArriveCAN, of the Auditor General of Canada, with the Office of the Procurement Ombudsman. February 27, 2024

Organization: Office of the Auditor General of Canada | Bureau du vérificateur général du Canada
Briefing Package for the hearing before the Standing Committee on Public Accounts on 2024 Report 1, ArriveCAN, of the Auditor General of Canada, with PSPC. February 21, 2024

Briefing Package for the hearing before the Standing Committee on Public Accounts on 2024 Report 1, ArriveCAN, of the Auditor General of Canada, with PSPC. February 21, 2024

Organization: Office of the Auditor General of Canada | Bureau du vérificateur général du Canada
Briefing Package for the hearing before the Standing Committee on Public Accounts on 2024 Report 1, ArriveCAN, of the Auditor General of Canada, with PHAC. February 20, 2024

Briefing Package for the hearing before the Standing Committee on Public Accounts on 2024 Report 1, ArriveCAN, of the Auditor General of Canada, with PHAC. February 20, 2024

Organization: Office of the Auditor General of Canada | Bureau du vérificateur général du Canada
Atlas of Canada National Scale Data – Annual Minimum Snow and Ice (MSI) Extent Time Series

The Annual Minimum Snow and Ice (MSI) Extent of the Atlas of Canada National Scale Data, are data sets compiled containing annual data from 2000 to present.  The data sets were derived from research published by the Canada Centre for Remote Sensing which classified satellite imagery over Canada and neighbouring regions for the continued presence or absence of snow and ice from April 1 to September 20 each year.  The Atlas of Canada MSI products consist of a vector dataset and a raster time-series animation application.  
  
  VECTOR DATASET  
  
  The vector dataset has been generalized to display at the scale of 1:1,000,000.  
  
  TIME-SERIES ANIMATION APPLICATION  
  
  The time-series animation application has not been generalized from its original scale (250 m pixels).  
  
  The application is disseminated through the Data Cube Platform, implemented by the Canada Centre for Mapping and Earth Observation, Natural Resources Canada using geospatial big data management techniques.  These technologies enable the rapid and efficient visualization of high-resolution geospatial data and allow for the rapid generation of dynamically derived products.  The time-series is also available as a Web Map Service (WMS) and Web Coverage Service (WCS).  
  
  CREDIT  
  
  Source data provided by Alexander P. Trishchenko, Canada Centre for Remote Sensing, Natural Resources Canada   
  
  Metadata record: https://open.canada.ca/data/en/dataset/808b84a1-6356-4103-a8e9-db46d5c20fcf

Organization: Natural Resources Canada | Ressources naturelles Canada
Labour market outcomes of postsecondary graduates at time of interview, by province of residence at interview, level of study, field of study, sex and work-integrated learning participation, inactive

Statistics on the labour market outcomes of postsecondary graduates, including the employment status and estimated gross annual earnings, are presented by province of residence at interview, the level of study, the field of study, sex and work-integrated learning (WIL) participation.<br>

Organization: Statistics Canada | Statistique Canada
Labour market outcomes of postsecondary graduates at time of interview, by province of study, level of study, field of study, sex and work-integrated learning participation, inactive

Statistics on the labour market outcomes of postsecondary graduates, including the employment status and estimated gross annual earnings, are presented by the province of study, the level of study, the field of study, sex and work-integrated learning (WIL) participation.<br>

Organization: Statistics Canada | Statistique Canada
Postsecondary graduates who owed money for their education to government-sponsored student loans at graduation, by province of residence at interview, level of study, field of study and sex, inactive

Statistics on postsecondary graduates who owed money for their education to government-sponsored student loans at graduation, including debt at graduation and debt at interview, are presented by the province of residence at time of interview, the level of study, the field of study and sex.<br>

Organization: Statistics Canada | Statistique Canada
Postsecondary graduates who owed money for their education to government-sponsored student loans at graduation, by province of study, level of study, field of study and sex, inactive

Statistics on postsecondary graduates who owed money for their education to government-sponsored student loans at graduation, including debt at graduation and debt at time of interview, are presented by the province of study, the level of study, the field of study and sex.<br>

Organization: Statistics Canada | Statistique Canada
Incidence and repayment of government student loans among graduates who did not pursue any further postsecondary education program

Incidence and repayment of government student loans among graduates who did not pursue any further postsecondary education program, Canada and provinces. This table is included in Section B: Financing education systems of the Pan Canadian Education Indicators Program (PCEIP). PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.<br>

Organization: Statistics Canada | Statistique Canada
Percentage of graduates who borrowed from government student loan programs and their average debt at graduation

Percentage of graduates who borrowed from government student loan programs and their average debt at graduation, Canada and provinces. This table is included in Section B: Financing education systems of the Pan Canadian Education Indicators Program (PCEIP). PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.<br>

Organization: Statistics Canada | Statistique Canada
Postsecondary graduates who owed money for their education to government-sponsored student loans at graduation, by location of residence at interview and level of study

<p>Statistics on postsecondary graduates who owed money for their education to government-sponsored student loans at graduation, including the average debt at graduation, the percentage of graduates who owed large debt at graduation and the percentage of debt paid off at the time of the interview, are presented by the location of residence at the time of the interview and the level of study. Estimates are available at five-year intervals.</p>

Organization: Statistics Canada | Statistique Canada
Postsecondary graduates who owed money for their education to government-sponsored student loans at graduation, by province of study and level of study

<p>Statistics on postsecondary graduates who owed money for their education to government-sponsored student loans at graduation, including the average debt at graduation, the percentage of graduates who owed large debt at graduation and the percentage of debt paid off at the time of the interview, are presented by the province of study and the level of study. Estimates are available at five-year intervals.</p>

Organization: Statistics Canada | Statistique Canada