AndreaBozzo/ceres-open-data-index huggingface dataset:
New Brunswick – Department of Natural Resources, Fire Weather Network

Network Title: New Brunswick – Department of Natural Resources, Fire Weather Network

Domain: Weather

Network Type: Atmospheric: Surface

Network Provider: New Brunswick Department of Natural Resources

Network Provider Website: https://www2.gnb.ca/content/gnb/en/departments/erd.html

Station Automation: Automated

Highest Sampling Frequency: Hourly

Data Feed Frequency: Real time

Period of Operation (Seasonal or Continuous): Continuous

Number of Stations: 28

Category of Reported Elements: Temperature; Humidity; Total precipitation; Rainfall; Wind

Data Access Points: https://dd.weather.gc.ca/today/observations/swob-ml/partners/nb-firewx/

Quality Assessed (Yes/No): Yes

Legal Constraints: N/A

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Prince Edward Island – Department of Transportation and Infrastructure, Road Weather Network

Network Title: Prince Edward Island – Department of Transportation and Infrastructure, Road Weather Network

Domain: Weather

Network Type: Atmospheric: Surface

Network Provider: Prince Edward Island Department of Transportation and Infrastructure

Network Provider Website: https://www.princeedwardisland.ca/en/topic/transportation-and-infrastructure

Station Automation: Automated

Highest Sampling Frequency: 5 minutes

Data Feed Frequency: Real time

Period of Operation (Seasonal or Continuous): Continuous

Number of Stations: 5

Category of Reported Elements: Temperature; Humidity; Pressure; Wind; Dew point

Data Access Points: N/A

Quality Assessed (Yes/No): Quality assessed by Environment and Climate Change Canada.

Legal Constraints: N/A

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Yukon – Department of Community Services, Fire Weather Network

Network Title: Yukon – Department of Community Services, Fire Weather Network

Domain: Weather

Network Type: Atmospheric: Surface

Network Provider: Yukon Department of Community Services

Network Provider Website: https://yukon.ca/en/department-community-services

Station Automation: Automated

Highest Sampling Frequency: Hourly

Data Feed Frequency: Real time

Period of Operation (Seasonal or Continuous): Continuous

Number of Stations: 27

Category of Reported Elements: Temperature; Humidity; Rainfall; Wind; Snow depth*; Snow water equivalent*; Total precipitation* (*Only at select stations)

Data Access Points: https://dd.weather.gc.ca/today/observations/swob-ml/partners/yt-firewx/

Quality Assessed (Yes/No): No

Legal Constraints: N/A

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
British Columbia – Ministry of Forests, Fire Weather Network

Network Title: British Columbia – Ministry of Forests, Fire Weather Network

Domain: Weather

Network Type: Atmospheric: Surface

Network Provider: British Columbia Ministry of Forests

Network Provider Website: https://www2.gov.bc.ca/gov/content/governments/organizational-structure/ministries-organizations/ministries/forests

Station Automation: Automated

Highest Sampling Frequency: Hourly

Data Feed Frequency: Real time

Period of Operation (Seasonal or Continuous): Continuous

Number of Stations: 254

Category of Reported Elements: Temperature; Humidity; Total Precipitation; Rainfall; Snow Depth; Wind

Data Access Points: https://dd.weather.gc.ca/today/observations/swob-ml/partners/bc-forestry/

Quality Assessed (Yes/No): N/A

Legal Constraints: N/A

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Commercial Vehicle Survey Data (Commercial vehicle flows assigned to road network)

This data provides core information on truck travel and commodity flows on the provincial highway network and other significant truck corridors. It includes the basic commercial vehicle information data set. This data is used by MTO's Systems Analysis and Forecasting Office to monitor truck volumes,value of goods and performance on major roadways within Ontario. *[MTO]: Ministry of Transportation

Organization: Government of Ontario | Gouvernement de l'Ontario
British Columbia – Ministry of Agriculture and Food, Agrometeorological Network

Network Title: British Columbia – Ministry of Agriculture and Food, Agrometeorological Network

Domain: Weather

Network Type: Atmospheric: Surface

Network Provider: British Columbia Ministry of Agriculture and Food

Network Provider Website: https://www2.gov.bc.ca/gov/content/governments/organizational-structure/ministries-organizations/ministries/agriculture

Station Automation: Automated

Highest Sampling Frequency: Hourly

Data Feed Frequency: Real time

Period of Operation (Seasonal or Continuous): Continuous

Number of Stations: 27

Category of Reported Elements: Temperature; Humidity; Rainfall; Wind

Data Access Points: https://services.pacificclimate.org/met-data-portal-pcds/app/

Quality Assessed (Yes/No): Quality assurance and quality control systems are under development.

Legal Constraints: N/A

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Quebec – Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs, Climate Monitoring and Automated Stations Network

Network Title: Quebec – Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs, Climate Monitoring and Automated Stations Network

Domain: Weather

Network Type: Atmospheric: Surface and climate

Network Provider: Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs du Québec

Network Provider Website: https://www.environnement.gouv.qc.ca/index_en.asp

Station Automation: Automated

Highest Sampling Frequency: Hourly

Data Feed Frequency: Real time

Period of Operation (Seasonal or Continuous): Continuous

Number of Stations: 125

Category of Reported Elements: Temperature; Humidity; Atmospheric pressure; Total precipitation; Rainfall; Snow water equivalent; Wind

Data Access Points: https://www.environnement.gouv.qc.ca/climat/donnees/

Quality Assessed (Yes/No): Yes

Legal Constraints: https://www.quebec.ca/en/copyright

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Quebec – Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs, Climate Monitoring and Snow Course Stations Network

Network Title: Quebec – Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs, Climate Monitoring and Snow Course Stations Network

Domain: Weather

Network Type: Atmospheric: Surface and climate

Network Provider: Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs du Québec

Network Provider Website: https://www.environnement.gouv.qc.ca/index_en.asp

Station Automation: Staffed

Highest Sampling Frequency: Every two weeks

Data Feed Frequency: Non-real time

Period of Operation (Seasonal or Continuous): Seasonal

Number of Stations: 107

Category of Reported Elements: Snow cover depth; Snow water equivalent

Data Access Points: https://www.environnement.gouv.qc.ca/climat/donnees/

Quality Assessed (Yes/No): Yes

Legal Constraints: https://www.quebec.ca/en/copyright

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Manitoba – Manitoba Agriculture, Weather Program

Network Title: Manitoba – Manitoba Agriculture, Weather Program

Domain: Weather

Network Type: Atmospheric: Surface

Network Provider: Manitoba Agriculture

Network Provider Website: https://www.gov.mb.ca/agriculture/

Station Automation: Automated

Highest Sampling Frequency:
15 min May-November
60 min November - April

Data Feed Frequency: Real time

Period of Operation (Seasonal or Continuous): Continuous

Number of Stations: 120

Category of Reported Elements: Temperature; Humidity; Rainfall; Wind; Radiation; Soil; Dew point; Total precipitation; Pressure

Data Access Points: https://www.gov.mb.ca/agriculture/weather/

Quality Assessed (Yes/No): No (minimal)

Legal Constraints: This is raw data that has undergone minimal quality control. There may be missing or erroneous data as a result of sensor malfunction, or routine maintenance. Use data at your own risk.

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

Last updated: 2026-05-17 05:00:17

FERRYSEG_OFFICIAL consists of the data for the average route a ferryboat takes when transporting vehicles between two fixed locations on the Road Network. "NID" National Identifier is used to manage the updates between data producer and data users. FERRYSEG_OFFICIAL data layer serves as a foundation for SURN, NRN, SASK911 and other applications.

Organization: Government of Saskatchewan | Gouvernement de la Saskatchewan
HIGHWAY OFFICIAL

Last updated: 2026-05-17 05:00:17

HIGHWAY_OFFICIAL consists of provincial and national highways system in Saskatchewan maintained by the Saskatchewan Ministry of Highways and Infrastructure (MHI). This data layer is based on the Linear Reference System (LRS) concepts. KM_FROM and KM_TO fields store the start point and the end point at Kilometer information of the line segment. Unique Identifiers (RoadName & NID) are associated with each line segment. The "RoadName" field carry the unique highway name for each line segment in a control section. "NID" National Identifier is used to manage the updates between data producer and data users. HIGHWAY_OFFICIAL data layer serves as a foundation for SURN, NRN, SASK911, CAR, SGI-iHaul and other applications.

Organization: Government of Saskatchewan | Gouvernement de la Saskatchewan
JUNCTION OFFICIAL

Last updated: 2026-05-17 05:00:17

JUNCTION_OFFICIAL, A point has been generated at the intersection of three or more road segments, Ferry connection, National/Provincial/Territory boundary and at the dead end of the road. JUNCTION_OFFICIAL contains all the road intersection points in the Saskatchewan. JUNCTION_OFFICIAL is an important part of the Saskatchewan road network dataset. Each point geometry "JUNCTION" has unique Identifiers (NID). "NID" National Identifier is used to manage the updates between data producer and data users.

Organization: Government of Saskatchewan | Gouvernement de la Saskatchewan
OTHERROAD OFFICIAL

Last updated: 2026-05-17 05:00:17

OTHERROAD_OFFICIAL consists of all the roads within the urban limits and any other roads those are not the part of RURALROAD_OFFICIAL and HIGHWAY_OFFICIAL. Original geometry of this layer is derived from National Road Network data layer. Urban Municipalities are responsible of the correctness and currentness of the Urban road network and Saskatchewan Ministry of Highways and Infrastructure (MHI) maintained OTHERROAD_OFFICIAL data layer/table according to the NRN standards. Unique Identifiers (NID) is associated with each line segment. "OTHER_ROAD_ID" is an auto generated unique ID for each road segment in OTHER_ROAD_OFFICIAL. "NID" National Identifier is used to manage the updates between data producer and data users. OTHERROAD_OFFICIAL data layer is one of the important data table for SURN, NRN, SASK911, CAR and other applications.

Organization: Government of Saskatchewan | Gouvernement de la Saskatchewan
DFO Unit Areas, Atlantic Canada

Fisheries and Oceans Canada (DFO) statistical unit areas (also referred to as unit areas) are smaller portions of the Northwest Atlantic Fisheries Organization (NAFO) Subareas, Divisions, and Subdivisions defined in the Convention on Cooperation in the Northwest Atlantic Fisheries (2020). The spatial representation of boundaries defined by NAFO has recently been updated to address inconsistencies and errors in earlier versions, which is available here: https://open.canada.ca/data/dataset/59af1c96-fc8f-4fa0-b398-d65e953eadaa#comment-41855. Unit areas are used by DFO for a variety of purposes including, but not limited to stock assessments, privacy screening of fisheries maps, and statistical analyses.

Unit areas were originally defined throughout the 1940s and 1950s. Subsequently, several revisions and alternate versions were created by DFO in various regions leading to inconsistencies in spatial extent and naming conventions. These changes have not been formally documented. The datasets often have topological errors such as gaps and overlaps, especially along diagonals and coastlines. In addition, inconsistencies have arisen from conflicting interpretations of the NAFO divisions, where not all land points are defined by coordinates.  Therefore, DFO, with input from the Canadian Hydrographic Service (CHS), has created an updated version of the DFO unit areas file to address inconsistencies and errors among previous versions. The recently updated NAFO divisions were used as the basis for an updated DFO unit areas file.

This version of the DFO unit areas must not be used for legal purposes. Legal descriptions of fishing area boundaries can be found in the Atlantic Fisheries Regulations, Maritime Provinces Fishery Regulations, and DFO License Conditions.

Organization: Fisheries and Oceans Canada | Pêches et Océans Canada
Greenland Halibut Acoustic Detections - NL Region

Greenland halibut (Reinhardtius hippoglossoides) occupy deep waters off Newfoundland and Labrador and are a commercially important species. The Groundfish Section, Fisheries and Oceans Canada – Newfoundland and Labrador Region implemented an acoustic tagging program to better understand the movement and habitat use for this species. This program began in 2021, and was further developed as a results of two DFO Competitive Science Research Fund project between 2022-2026.


Fish were caught via trawl or longline, VEMCO acoustic transmitters surgically implanted, and released at site of capture. Detections occurred from acoustic receivers deployed by the Groundfish section and/or from receiver arrays associated with the Oceans Tracking Network (e.g. Northern Cod Acoustic Telemetry Array [NCAT]). Raw detection data are downloaded from receivers and sent to the Ocean Tracking Network for formatting and archiving. 


Data provided here summarize reported detections from 2021-2024 as part of a master’s project at Memorial University of Newfoundland. Release locations, number and location of detections, defined movement class, and detection duration are summarized by individual. Location information includes the position of the receiver the fish was detected at, and the North Atlantic Fisheries Organization (NAFO) Divisions where fish were detected in.

Organization: Fisheries and Oceans Canada | Pêches et Océans Canada
Underwater video analysis data of the coastal zone of maritime Quebec

Between 2017 and 2024, underwater imaging sampling campaigns were conducted by Fisheries and Oceans Canada across a broad area of the shallow coastal zone of the St. Lawrence Estuary and Gulf. The sampling targeted the lower intertidal and subtidal zones, to a maximum depth of approximately 10 m, with an emphasis on eelgrass beds and macroalgae. These targeted surveys were primarily intended to produce ground-truth data for the mapping of estuarine and marine macrophytes of the Québec maritime region (Provencher-Nolet et al., 2025), supporting oil spill preparedness and response activities.
This dataset summarizes information generated from the analysis of underwater video footage collected at 3,179 sampling stations using small boats equipped with a pole-mounted camera system, as described in Grégoire et al. (2025). The dataset documents multiple characteristics of coastal ecosystems, including the cover of erect vegetation, vegetation assemblages, dominant and minor vegetation, substrates, fauna, as well as the presence of encrusting algae, for each sampling station. The different attributes recorded during video analysis, along with certain identification criteria, are presented in the visual dictionary of Grégoire et al. (2022).

Organization: Fisheries and Oceans Canada | Pêches et Océans Canada
2026-27 Estimates

In order to make expenditures, the government must receive Parliament’s approval, either through previously adopted legislation or, on an annual basis, through the introduction and passage of appropriation bills. Prior to the introduction of each appropriation bill, the President of the Treasury Board tables an Estimates publication (Main or Supplementary) in Parliament to provide information and details on spending authorities sought.

Organization: Treasury Board of Canada Secretariat | Secrétariat du Conseil du Trésor du Canada
Moose tag allocation process results — summary

This data summarizes the current and previous years’ moose tag allocation process results by: * year * Wildlife Management Unit (WMU) * moose type * season * allocation stage * minimum points required * tags available and number of applicants at each choice * total number of unique applicants Definitions of these variables can be found in the data dictionary below. This data is updated twice per year. An explanation of how the moose tag allocation process works, how to interpret results and what to consider when you apply, are available at [ontario.ca/moosetagprocess](https://www.ontario.ca/moosetagprocess). [View a more detailed dataset of moose tag allocation process results](https://data.ontario.ca/dataset/moose-tag-allocation-process-results).

Organization: Government of Ontario | Gouvernement de l'Ontario
Crown timber charges for forestry companies

Crown timber charges are composed of: 1. stumpage price 2. Forestry Futures Trust charge 3. Forest Renewal Trust charge The stumpage price is made up of 3 components: 1. minimum price: adjusted annually and set by species and product sector on April 1 of each year 2. residual value price: adjusted monthly and varies based on market prices of product sectors and species 3. administration: $1.00/cubic metre for trees exported outside Canada for manufacturing Stumpage prices (minimum and residual value) are calculated by using the Ontario Crown Timber Prices (Stumpage) monthly tables. The licensee or Agent for the Crown is responsible for paying Crown charges. The Forestry Futures Trust provides funding to renew forest areas affected by natural disasters like fire, blowdown or disease. Funding could also be provided in the event of an insolvency of a major licensee. The Forest Renewal Trust charge provides dedicated funding for forest renewal. This charge, which is set annually, varies depending upon anticipated renewal costs.

Organization: Government of Ontario | Gouvernement de l'Ontario
Survey results: Gender and sex information on Ontario government IDs and forms

The survey ran from August 8 to September 16, 2016. Survey results were used to develop a government-wide policy on how gender and sex information is collected, used, retained and displayed on government IDs and forms. [Learn more about the survey and policy](https://www.ontario.ca/page/consultation-gender-and-sex-information-government-ids-and-forms).

Organization: Government of Ontario | Gouvernement de l'Ontario
Jobs and Prosperity Fund recipients

The [Jobs and Prosperity Fund](https://www.ontario.ca/page/jobs-and-prosperity-fund-regional-business-support-program-progress-report-lead) was launched in 2015 to help businesses across the province to enhance their productivity, innovation and export activities. This data set includes several projects that were contracted through previous funding programs prior to January 2015, but are now funded through the JPF. This data set includes the following details: * funding program * name of company * location * fiscal year contract signed * government funding commitment * total project jobs created and retained as in the contract *[JPF]: Jobs and Prosperity Fund

Organization: Government of Ontario | Gouvernement de l'Ontario
Use of Force in Correctional Institutions

This page contains data on all use of force incidents that occurred in a provincial adult correctional institution in Ontario in the reporting calendar year. Data were extracted from Inmate Incident Reports (IIRs) in the Incident Report Management (IRM) system; all IIRs in IRM that included "use of force" as an incident type and occurred in the reporting calendar year were extracted. In alignment with the ministry’s commitment to Anti-Racism Act, 2017 (ARA) reporting, this dataset along with the [Adult Inmate Profile Dataset](https://data.ontario.ca/dataset/adult-inmate-profile) was used to analyze race- and identity-based data in use of force incidents in correctional institutions. The resulting technical report available on [Anti-Racism Act (ARA) Reporting in Corrections](https://data.ontario.ca/dataset/anti-racism-act-ara-reporting-in-corrections) provides background on the data collection and reporting; a description of the data sources; an overview of the data cleaning and analytic methods; a review of the scope and limitations of the data collected; and descriptive analyses. This information is essential for understanding how to analyze the data appropriately and interpret any results from the analysis. __Note__: Resources on this page may be updated periodically. For information on data updates, please consult the available metadata such as data dictionary and supporting documentation. ## Related Links: * [Adult Inmate Profile](https://data.ontario.ca/dataset/adult-inmate-profile) * [Anti-Racism Act (ARA) Reporting in Correctional Services]( https://data.ontario.ca/dataset/anti-racism-act-ara-reporting-in-corrections) * [Incident Report Management (IRM)](https://data.ontario.ca/dataset/incident-report-management-irm) * [Ontario's Provincial Correctional Institutions](https://data.ontario.ca/dataset/ontario-s-correctional-institutions-locations/resource/97d82317-539c-479d-9479-4dd9b7e9e08c)

Organization: Government of Ontario | Gouvernement de l'Ontario
Elementary class size

Elementary class organizations for each school in Ontario, based on a count date in September of each school year. For each elementary class, the data include: * school year * school board name * school name * class number * junior kindergarten, kindergarten, grades 1, 2, 3 and 4-8 enrolment Data is based on reports submitted by school boards in each school year in accordance with Ontario’s class size regulation ([O. Reg. 132/12](https://www.ontario.ca/laws/regulation/120132)).

Organization: Government of Ontario | Gouvernement de l'Ontario
Developing Ontario’s Artificial Intelligence Framework Survey Dataset

Between May 7th and June 4th 2021, the Government of Ontario ran a consultation on the proposed [Trustworthy Artificial Intelligence (AI) Framework](https://www.ontario.ca/page/ontarios-trustworthy-artificial-intelligence-ai-framework-consultations). An open and anonymous survey was developed for input on: * how the government can ensure AI is used responsibly to minimize misuse and maximize benefits for Ontarians * ideas to improve the public’s trust in AI * experiences, concerns, and insights that will help the government shape it’s approach to using AI The survey asked respondents to rank and comment on action items related to three draft commitments: * No AI in secret * AI use Ontarians can trust * AI for all Ontarians The survey data includes ranking of action items for each commitment.

Organization: Government of Ontario | Gouvernement de l'Ontario