AndreaBozzo/ceres-open-data-index huggingface dataset:
1.1.1: Percentage of advocacy campaigns which met their stated objectives.

Supported advocacy campaigns conducted by GAC's network of Foreign Policy and Diplomacy Service's officers abroad are measured to identify if they meet their objectives.  This dataset demonstrates at an campaign level if the campaign met it's objectives or not.  The cumulative dataset provides the overall results for the Department's indicator:  1.1.1: Percentage of advocacy campaigns which met their stated objectives.

Organization: Global Affairs Canada | Affaires mondiales Canada
External Credential Management Service Availability

External Credential Management is a cyber authentication service provided by the Government of Canada to allow the public and businesses to securely conduct online business with various governmental programs and services. Use of this service is mandatory for Government of Canada departments and agencies. The two services provided are GCKey and SecureKey. The GCKey service is provided by the Government of Canada to allow users to securely conduct online business with various governmental programs and services.  The SecureKey Concierge service offers a more convenient way to sign in to Government of Canada services.

This dataset contains service availability data of the External Credential Management services including, GCKey and SecureKey Concierge. 

NOTE: Beginning fiscal year 2022-2023 the External Credential Management service line is now subdivided into two distinct service lines: GCKey and SecureKey Concierge. 


Organization: Shared Services Canada | Services partagés Canada
Global Ice-Ocean Prediction System

The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Global Deterministic Prediction System

The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Long Term Climate Extremes, Daily Extremes of Records – Snowfall

The daily climate records database, also known as Long Term Climate Extremes (LTCE), was developed to address the fragmentation of climate information due to station changes (opening, closing, relocation, etc.) over time. For approximately 750 locations in Canada, "virtual" climate stations have been developed by joining (threading) climate data for an urban location, from nearby stations to make long-term records. Each long-term record consists of the extremes (record values) of daily maximum/minimum temperatures, total precipitation and snowfall for each day of the year. Many of the longest data sets of extremes date as far back as the 1800s. This data provides the daily extremes of record for Snowfall for each day of the year. Daily elements include: Greatest Snowfall.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Long Term Climate Extremes, Daily Extremes of Records – Precipitation

The daily climate records database, also known as Long Term Climate Extremes (LTCE), was developed to address the fragmentation of climate information due to station changes (opening, closing, relocation, etc.) over time. For approximately 750 locations in Canada, "virtual" climate stations have been developed by joining (threading) climate data for an urban location, from nearby stations to make long-term records. Each long-term record consists of the extremes (record values) of daily maximum/minimum temperatures, total precipitation and snowfall for each day of the year. Many of the longest data sets of extremes date as far back as the 1800s. This data provides the daily extremes of record for Precipitation for each day of the year. Daily elements include: Greatest Precipitation.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
High Resolution Deterministic Prediction System - Continental

The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Regional Deterministic Prediction System

The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day.  
  
  Note: The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Consultation draft of REGDOC-1.3.1, Licence Application Guide: Uranium Mines and Mills

Draft of REGDOC-1.3.1 for consultation period February 19, 2024 to April 4, 2024. The document provides clarity on the requirements and guidance for preparing an application to obtain a licence to prepare a site and construct, operate and/or decommission a uranium mine or mill in Canada. 

Organization: Canadian Nuclear Safety Commission | Commission canadienne de sûreté nucléaire
Canada’s Core Infrastructure Cost Dataset

The purpose of  Canada’s Core Infrastructure Cost Dataset is to assign estimated costs to core infrastructure throughout Canada.  Using the Replacement Cost and Inventory Count estimates from the Canada’s Core Public Infrastructure (CCPI) survey, and publicly available national infrastructure location data, a variety of core public infrastructure assets were assigned costs according to their location and asset type. The map and related database are set to include, though not limited to: Roads, Waste/Drinking Water facilities, Recreation and Sports facilities, and Transit facilities. 

For further information on the methods used for specific assets and definitions, please refer to the Asset Methodology Documents. 

Note: This data does not include Quebec

Completed Assets:
•	Roads
•	Non-Linear Wastewater Facilities

Organization: Department of Housing, Infrastructure and Communities | Ministère du Logement, de l’Infrastructure et des Collectivités
Global Ensemble Prediction System

The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behavior of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Regional Ice-Ocean Prediction System

The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Celebrating excellence: Congratulations to Ambassador Jacqueline O’Neill, 31st Vimy Award laureate!

For the past 30 years, the Conference of Defence Associations (CDA) Institute has awarded each year the Vimy Award to exceptional Canadians to recognize their efforts in the quest for peace and democratic values. The 2023 Vimy Award goes to Jacqueline O’Neill, Canada's Ambassador for Women, Peace and Security for her remarkable contribution to democracy, security and defence!

In this article, we dive into the award’s significance. We also showcase the Ambassador’s pivotal role as a thought leader driving progress for the women, peace, and security agenda within diverse organizations for Global Affairs Canada (GAC).

Organization: Global Affairs Canada | Affaires mondiales Canada
Multi-Stakeholder Forum on Open Government

The Multi-stakeholder Forum (MSF) on Open Government supports ongoing dialogue between government and Canadian civil society on open government. Its mandate is to provide input and advice on the Government of Canada’s commitments on open government, identify new areas of focus, and build the open government community across Canada.

The Multi-Stakeholder Forum is composed of twelve members, eight from civil society and four from the Government of Canada. The Open Government Partnership (OGP) considers having a Forum to be a best practice, creating a permanent mechanism for civil society guidance and oversight.

Canada’s Multi-Stakeholder Forum launched on January 24, 2018. Members have developed terms of reference to guide and govern the forum.

On this page, you will find documents related to the Multi-stakeholder Forum on Open Government.

Organization: Treasury Board of Canada Secretariat | Secrétariat du Conseil du Trésor du Canada
Food Consumption Table (2015 CCHS Nutrition)

The Food Consumption Table (FCT) provides estimates of daily intakes of foods (means and percentiles) obtained using data from the 2015 Canadian Community Health Survey (CCHS) Nutrition. Estimates were generated at three different food grouping levels based on the food group list from the Bureau of Nutritional Sciences, Food Directorate, Health Canada. These estimates are presented for two consumption populations: “all persons” and “eaters only”. Each estimate is further broken down by various age-sex categories. For both consumption populations, estimates are available in two different units: 1) grams per person per day and 2) grams per kilogram of body weight per day. The User Guide, Read Me file, Food Group List and Body Weights table provide detailed information to facilitate use of the FCT.

Organization: Health Canada | Santé Canada
The Canadian Laboratory Information Network (CANLINE)

CANLINE is the Food Directorate's (Health Canada) searchable database for chemical, nutritional, and microbiological laboratory surveillance data. This includes data from Canada's Total Diet Study and other targeted surveillance data on contaminants in food. 

CANLINE data can be searched by sample characteristics, food category, contaminant, pathogen, nutrient, geographical details, and date, or combinations of the above. Search results can be exported in various formats.

Please note that new data is added to CANLINE on an on-going basis.

The glossary and instructions are available on the CANLINE website.



Organization: Health Canada | Santé Canada
Long Term Water Chemistry

Digitization of long-term water chemistry data collected between 1920's - 1990's from lakes across Saskatchewan by the Saskatchewan Fisheries Research Laboratory. Samples were collected using methods from the Standard Methods for the Examination of Water and Wastewater (APHA, AWWA and WPCF). This data serves as a baseline for water quality.

This dataset is a digitization from paper records of water chemistry data across Saskatchewan collected by the Saskatchewan Fisheries Research Laboratory. Data ranges from the 1920's to the 1990's and were sampled using methodes from the Standard Methods for the Examination of Water and Wastewater (American Public Health Association, American Water Works Association and Water Pollution Control Facility) This long-term water chemistry data serves as a baseline for water quality. Different variables of water chemistry are organized into individual fields. The units of measurement appear at the end of each field name. Due to the historical nature of the data some uncertainty exist in values.  Additonal notes on data: ND: no detection Trace: trace amounts Nil: zero NA: no data 

Organization: Government of Saskatchewan | Gouvernement de la Saskatchewan
Canadian Seasonal to Inter-annual Prediction System Hindcast (CanSIPS Hindcast)

The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Global Ensemble Wave Prediction System

The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Global Deterministic Storm Surge Prediction System

The Global Deterministic storm Surge Prediction System (GDSPS) produces water level forecasts using a modified version of the NEMO ocean model (Wang et al. 2021, 2022, 2023). It provides 240 hours forecasts twice per day on a 1/12° resolution grid (3-9 km). The model is forced by the 10 meters winds, sea level pressure, ice concentration, ice velocity and surface currents from the Global Deterministic Prediction System (GDPS). The three dimensionnal ocean temperature and salinity fields of the model are nudged to values provided by the Global Ice-Ocean Prediction System (GIOPS) and the GDPS. During the post-processing phase, storm surge elevation (ETAS) is derived from total water level (SSH) by harmonic analysis using t_tide (Foreman et al. 2009).

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Regional Ensemble Wave Prediction System

The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Regional Ensemble Storm Surge Prediction System

The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS).

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Regional Deterministic Wave Prediction System - National

The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Regional Deterministic Wave Prediction System - Lake Superior

The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Water Cycle Prediction System - Ocean-Atmosphere

WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
G7 Statement on Climate Club

The G7 is a forum designed for frank and open discussion between leaders, ministers and policy-makers. As a member of the G7, Canada plays a leading role on the international stage and is able to advance domestic and international priorities.

The G7 provides global leadership and serves as a powerful catalyst on issues that are later taken up by other fora with broader global and regional membership. The G7 brings together the world’s advanced economies to influence global trends and tackle pervasive and crosscutting issues, as well as emergent global crises. The G7 has strengthened international economic and security policies, advanced discussion of global issues including climate change and gender equality, brought donors together and supported disarmament programs. Most recently, the G7 has worked to tackle the COVID-19 pandemic and respond to Russia’s illegal invasion of Ukraine.

At the G7, Canada has advanced its domestic and international priorities, including gender equality, peace and security, climate change and building a sustainable global economy. Transparent and inclusive engagement with Canadian and international stakeholders has helped Canada to deliver on priorities that are important to Canadians.

Organization: Global Affairs Canada | Affaires mondiales Canada