AndreaBozzo/ceres-open-data-index huggingface dataset:
Canadian Index of Multiple Deprivation 2021

The Canadian Index of Multiple Deprivation (CIMD) is an area-based index which used 2021 Census of Population microdata to measure four key dimensions of deprivation at the dissemination area (DA)-level: residential instability, economic dependency, situational vulnerability and ethno-cultural composition.  
  
  Using factor analysis, DA-level factor scores were calculated for each dimension. Within a dimension, ordered scores were assigned a quintile value, 1 through 5, where 1 represents the least deprived and 5 represents the most deprived.  
  
  The CIMD allows for an understanding of inequalities in various measures of health and social well-being. While it is a geographically-based index of deprivation and marginalization, it can also be used as a proxy for an individual. The CIMD has the potential to be widely used by researchers on a variety of topics related to socio-economic research. Other uses for the index may include: policy planning and evaluation, or resource allocation.  
  
  *** Correction  October 22, 2024 ***  
  
  A correction has been made to the variables in the following downloadable 2021 CIMD index datasets : Canada, Atlantic, Quebec, Ontario, Prairies, and British-Columbia. This correction impacts all the data in these datasets.

Organization: Statistics Canada | Statistique Canada
Appearance before the Standing Committee on Access to Information, Privacy and Ethics (ETHI) on the Privacy Breaches at the Canada Revenue Agency

Briefing package for the Privacy Commissioner of Canada for his Appearance before the Standing Committee on Access to Information, Privacy and Ethics (ETHI) on the Privacy Breaches at the Canada Revenue Agency (CRA), on December 5, 2024.

Organization: Office of the Privacy Commissioner of Canada | Commissariat à la protection de la vie privée du Canada
HUMA Committee briefing binder: Appearance by the Minister of Families, Children and Social Development (FCSD) - December 3, 2024

Appearance by the Minister of Families, Children and Social Development (FCSD). Standing Committee on Human Resources, Skills and Social Development and the Status of Persons with Disabilities (HUMA), Priorities, Mandate and Supplementary Estimates (B) 2024 to 2025. Date: December 3, 2024

Organization: Employment and Social Development Canada | Emploi et Développement social Canada
Fish Assemblage Monitoring of Southern Operator Tributary Streams in the Oil Sands Area - Environmental DNA Monitoring

Environmental DNA (eDNA) metabarcoding sequence data from filtered water samples collected to pair with electrofishing data as part of the Oil Sands Monitoring program. This sequencing data stems from 11 sites across seven Athabasca tributary streams located south of Fort McMurray, Alberta. This represents the first of several environmental DNA data sets being generated as part of the OSM program.


The sequence data for this project is being stored publicly in the National Center for Biotechnology Information (NCBI) website, under the Project Accession Number: PRJNA1139135. 


All data are subject of a publication containing method details, full QA/QC, interpretations and conclusions. Citation: Morey, K. C., Myler, E., Hanner, R., & Tetreault, G. (2024). Taxonomic Blind Spots: A limitation of environmental DNA Metabarcoding‐Based detection for Canadian freshwater fishes. Environmental DNA, 6(6). https://doi.org/10.1002/edn3.70054

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Appearance by the Minister of Employment, Workforce Development and Official Languages, and officials from Employment and Social Development Canada. Standing Committee on Indigenous and Northern Affairs (INAN) December 9, 2024

Appearance by the Minister of Employment, Workforce Development and Official Languages, and officials from Employment and Social Development Canada. Standing Committee on Indigenous and Northern Affairs (INAN). Study: Economic and anti-reconciliatory barriers posed by fraudulent applications for procurement opportunities set aside for Indigenous businesses. Date: December 9, 2024, 5:30 pm to 7:30 pm

Organization: Employment and Social Development Canada | Emploi et Développement social Canada
Regional Information Monitoring Network for the Ottawa River Watershed (RIMNet) Report

The Regional Information and Monitoring Network (RIMNet) is an initiative by the Canadian Nuclear Safety Commission (CNSC) and Environment and Climate Change Canada (ECCC) to enhance information sharing and document the environmental aspects of nuclear facilities and activities in the watershed. By centralizing resources, RIMNet aims to increase transparency, build public confidence, and foster trust. It is independent and not linked to any specific nuclear project or activity. The Phase I report provides a background on the initiative, the methodology and results from the literature review, and an overview for next steps. 

Organization: Canadian Nuclear Safety Commission | Commission canadienne de sûreté nucléaire
Consultation draft for REGDOC-2.5.5, Design of Radiography Installations

REGDOC-2.5.5, Design of Industrial Radiography Installations, provides guidance for the design of radiography installations. This information will assist individuals in the design and construction of installations that are safe to use, and that ensure that doses to certified exposure device operators, workers and all persons in the vicinity of the work being performed are within regulatory limits and are kept as low as reasonably achievable.

Organization: Canadian Nuclear Safety Commission | Commission canadienne de sûreté nucléaire
Trend of Total Precipitation for 1948-2012 based on Canadian gridded data

Seasonal and annual trends of relative total precipitation change (%) for 1948-2012 based on Canadian gridded data (CANGRD) are available, at a 50km resolution across Canada. The relative trends reflect the percent change in total precipitation over a period from the baseline value (defined as the average over 1961-1990 as the reference period). CANGRD data are interpolated from adjusted and homogenized climate station data (i.e., AHCCD datasets). Adjusted precipitation data incorporate adjustments to the original station data to account for discontinuities from non-climatic factors, such as instrument changes or station relocation.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Statistically downscaled scenarios of projected maximum temperature change

Statistically downscaled multi-model ensembles of projected change (also known as anomalies) in maximum temperature (°C) are available at a 10km spatial resolution for 1951-2100. Statistically downscaled ensembles are based on output from twenty-four Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCM). Daily maximum temperature from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2). A historical gridded maximum temperature dataset of Canada (ANUSPLIN) was used as the downscaling target.  
  
                 Projected change in maximum temperature (°C) is with respect to the reference period of 1986-2005. Seasonal and annual averages of projected maximum temperature change to 1986-2005 are provided. Specifically, the 5th, 25th, 50th, 75th and 95th percentiles of the downscaled ensembles of maximum temperature change are available for the historical time period, 1901-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.  
  
                 Twenty-year average changes in statistically downscaled maximum temperature (°C) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats. The median projected change across the ensemble of downscaled CMIP5 climate models is provided.  
  
                 Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Statistically downscaled scenarios of projected mean temperature change

Statistically downscaled multi-model ensembles of projected change (also known as anomalies) in mean temperature (°C) are available at a 10km spatial resolution for 1951-2100. Statistically downscaled ensembles are based on output from twenty-four Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCM). Downscaled daily mean temperature was calculated by averaging downscaled daily minimum and maximum temperature. Daily minimum and maximum temperature from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2). Historical gridded minimum and maximum temperature datasets of Canada (ANUSPLIN) were used as the respective downscaling targets.   
  
                 Projected change in mean temperature (°C) is with respect to the reference period of 1986-2005. Seasonal and annual averages of projected mean temperature change to 1986-2005 are provided. Specifically, the 5th, 25th, 50th, 75th and 95th percentiles of the downscaled ensembles of mean temperature change are available for the historical time period, 1901-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.  
  
                 Twenty-year average changes in statistically downscaled minimum mean temperature (°C) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats. The median projected change across the ensemble of downscaled CMIP5 climate models is provided.  
  
                 Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Statistically downscaled multi-model ensembles of minimum temperature

Statistically downscaled multi-model ensembles of minimum temperature are available at a 10km spatial resolution for 1951-2100. Statistically downscaled ensembles are based on output from twenty-four Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCM). Daily minimum temperature from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping  version 2 (BCCAQv2). A historical gridded minimum temperature dataset of Canada (ANUSPLIN) was used as the downscaling target.  
  
                 The 5th, 25th, 50th, 75th and 95th percentiles of the monthly, seasonal and annual ensembles of downscaled minimum temperature (°C) are available for the historical time period, 1951-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.   
  
                 Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Statistically downscaled multi-model ensembles of mean temperature

Statistically downscaled multi-model ensembles of mean temperature are available at a 10km spatial resolution for 1951-2100. Statistically downscaled ensembles are based on output from twenty-four Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCM). Downscaled daily mean temperature was calculated by averaging downscaled daily minimum and maximum temperature. Daily minimum and maximum temperature from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2). Historical gridded minimum and maximum temperature datasets of Canada (ANUSPLIN) were used as the respective downscaling targets.   
  
                 The 5th, 25th, 50th, 75th and 95th percentiles of the monthly, seasonal and annual ensembles of downscaled mean temperature (°C) are available for the historical time period, 1951-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.   
  
                 Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Statistically downscaled multi-model ensembles of maximum temperature

Statistically downscaled multi-model ensembles of maximum temperature are available at a 10km spatial resolution for 1951-2100. Statistically downscaled ensembles are based on output from twenty-four Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCM). Daily maximum temperature from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2). A historical gridded maximum temperature dataset of Canada (ANUSPLIN) was used as the downscaling target.  
  
                 The 5th, 25th, 50th, 75th and 95th percentiles of the monthly, seasonal and annual ensembles of downscaled maximum temperature (°C) are available for the historical time period, 1951-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.   
  
                 Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Projected surface Wind Speed change based on CMIP5 multi-model ensembles

Seasonal and annual multi-model ensembles of projected change (also known as anomalies) in surface wind speed based on an ensemble of twenty-nine Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1900-2100. Projected change in wind speed is with respect to the reference period of 1986-2005 and expressed as a percentage (%). The 5th, 25th, 50th, 75th and 95th percentiles of the ensemble of wind speed change are available for the historical time period, 1900-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.  
  
                 Twenty-year average changes in wind speed (%) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats. The median projected change across the ensemble of CMIP5 climate models is provided.  
  
                 Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Projected Sea Ice Concentration change based on CMIP5 multi-model ensembles

Seasonal and annual multi-model ensembles of projected change (also known as anomalies) in sea ice concentration based on an ensemble of twenty-eight Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1900-2100. Sea ice concentration is represented as the percentage (%) of grid cell area. Therefore, projected change in sea ice concentration is with respect to the reference period of 1986-2005 and expressed as a percentage (%). The 5th, 25th, 50th, 75th and 95th percentiles of the ensembles of sea ice concentration change are available for the historical time period, 1900-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.  
  
                 Twenty-year average changes in sea ice concentration (%) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats. The median projected change across the ensemble of CMIP5 climate models is provided.  
  
                 Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Statistically downscaled scenarios of projected minimum temperature change

Statistically downscaled multi-model ensembles of projected change (also known as anomalies) in minimum temperature (°C) are available at a 10km spatial resolution for 1951-2100. Statistically downscaled ensembles are based on output from twenty-four Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCM). Daily minimum temperature from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2). A historical gridded minimum temperature dataset of Canada (ANUSPLIN) was used as the downscaling target.  
  
                 Projected change in minimum temperature (°C) is with respect to the reference period of 1986-2005. Seasonal and annual averages of projected minimum temperature change to 1986-2005 are provided. Specifically, the 5th, 25th, 50th, 75th and 95th percentiles of the downscaled ensembles of minimum temperature change are available for the historical time period, 1901-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.  
  
                 Twenty-year average changes in statistically downscaled mean minimum temperature (°C) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats. The median projected change across the ensemble of downscaled CMIP5 climate models is provided.  
  
                 Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Projected Snow Depth change based on CMIP5 multi-model ensembles

Seasonal and annual multi-model ensembles of projected change (also known as anomalies) in snow depth based on an ensemble of twenty-eight Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1900-2100. Projected change in snow depth is with respect to the reference period of 1986-2005 and expressed as a percentage (%). The 5th, 25th, 50th, 75th and 95th percentiles of the ensemble of snow depth change are available for the historical time period, 1900-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.  
  
                 Twenty-year average changes in snow depth (%) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats. The median projected change across the ensemble of CMIP5 climate models is provided.  
  
                 Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Projected Precipitation change based on CMIP5 multi-model ensembles

Seasonal and annual multi-model ensembles of projected relative change (also known as anomalies) in mean precipitation based on an ensemble of twenty-nine Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1901-2100. Projected relative change in mean precipitation is with respect to the reference period of 1986-2005 and expressed as a percentage (%). The 5th, 25th, 50th, 75th and 95th percentiles of the ensembles of mean precipitation change are available for the historical time period, 1901-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.  
  
                 Twenty-year average changes in mean precipitation (%) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats. The median projected change across the ensemble of CMIP5 climate models is provided.  
  
                 Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Homogenized Surface Wind Speed (AHCCD)

The Homogenized Surface Wind Speed data consist of monthly, seasonal and annual means of hourly wind speed (kilometres per hour) at standard 10 metre level for 156 locations in Canada. Homogenized climate data incorporate adjustments (derived from statistical procedures) to the original station data to account for discontinuities from non-climatic factors, such as instrument changes or station relocation. The time periods of the data vary by location, with the oldest data available from 1953 at some stations to the most recent update in 2014. Data availability over most of the Canadian Arctic is restricted to 1953 to present. The data will continue to be updated every few years (as time permits).

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Homogenized Surface Pressure (AHCCD)

The Homogenized Surface Pressure data consist of monthly, seasonal and annual means of hourly sea level and station pressure (hectopascals) for 626 locations in Canada.  Homogenized climate data incorporate adjustments (derived from statistical procedures) to the original station data to account for discontinuities from non-climatic factors, such as instrument changes or station relocation. The time periods of the data vary by location, with the oldest data available from 1953 at some stations to the most recent update in 2014.  Data availability over most of the Canadian Arctic is restricted to 1953 to present. The data will continue to be updated every few years (as time permits).

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