AndreaBozzo/ceres-open-data-index huggingface dataset:
Lake Huron Nearshore Waters Assessment

Water quality and ecosystem health data used to conduct a cumulative effects assessment of Lake Huron and St. Marys River nearshore waters in support of the Great Lakes Water Quality Agreement are included in this dataset. Data related to nearshore stressors is integrated into an overall assessment in a three-phased approach: 1) classification of the nearshore into Regional Units using physical processes and lake characteristics; 2) overall assessment of the state (cumulative stress) of each Regional Unit; and 3) integrate additional information related to nearshore areas of high ecological value.

Assessment data is presented within a 30 metre depth zone along the coast. For purposes of determining stress on nearshore waters it is necessary to consider the zones of influence and zones of impact. Measures used to assess the nearshore waters of Lake Huron are broken into four categories: 1) Coastal Processes (Shoreline Hardening, Littoral Barriers, Tributary Connectivity); 2) Contaminants in Water & Sediment (Water Quality, Sediment Quality, Benthic Community); 3) Nuisance & Harmful Algae (Cyanobacteria, Cladophora); and 4) Human Use (Beach Postings, Fish Consumption, Treated Drinking Water).

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Lake Erie Nearshore Waters Assessment

Water quality and ecosystem health data used to conduct a cumulative effects assessment of Lake Erie, St. Clair River, Lake St. Clair and Detroit River nearshore waters in support of the Great Lakes Water Quality Agreement are included in this dataset. Data related to nearshore stressors is integrated into an overall assessment in a three-phased approach: 1) classification of the nearshore into Regional Units using physical processes and lake characteristics; 2) overall assessment of the state (cumulative stress) of each Regional Unit; and 3) integrate additional information related to nearshore areas of high ecological value.

Assessment data is presented within a 15 metre depth zone along the coast. For purposes of determining stress on nearshore waters it is necessary to consider the zones of influence and zones of impact. Measures used to assess the nearshore waters of Lake Erie are broken into four categories: 1) Coastal Processes (Shoreline Hardening, Littoral Barriers, Tributary Connectivity); 2) Contaminants in Water & Sediment (Water Quality, Sediment Quality, Benthic Community); 3) Nuisance & Harmful Algae (Cyanobacteria, Cladophora, Dissolved Oxygen); and 4) Human Use (Beach Postings, Fish Consumption, Treated Drinking Water).

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Concentrations of perfluoroalkyl substances (PFAS) sampled in water and snow for Lake Hazen, Nunavut Canada

The delivery of perfluoroalkyl substances (PFAS) from snowpacks into Lake Hazen, located on Ellesmere Island (Nunavut, Canada) indicates that annual atmospheric deposition is a major source of PFAS that undergo complex cycling in the High Arctic. Perfluoroalkyl carboxylic acids (PFCA) in snowpacks display odd-even concentration ratios characteristic of long-range atmospheric transport and oxidation of volatile precursors. This Dataset contains the concentrations of perfluoroalkyl substances (PFAS) in Arctic water and snow for Lake Hazen. Snow samples were collected from 2013-2014, water samples were collected over a time span of 2012-2015.

Citation: MacInnis, J. J., Lehnherr, I., Muir, D., St Pierre, K. A., St Louis, V. L., Spencer, C., & De Silva, A. O. (2019). Fate and Transport of Perfluoroalkyl Substances from Snowpacks into a Lake in the High Arctic of Canada. Environmental science & technology, 53(18), 10753–10762. doi.org/10.1021/acs.est.9b03372

Supplemental Information

The Northern Contaminants Program (NCP, http://www.science.gc.ca/eic/site/063.nsf/eng/h_7A463DBA.html) was established in 1991 in response to concerns about human exposure to elevated levels of contaminants in wildlife species that are important to the traditional diets of northern Aboriginal peoples. Early studies found a wide variety of substances, many of which had no Arctic or Canadian sources, but which were, nevertheless, reaching unexpectedly high levels in the Arctic ecosystem. 

The Canadian Cryospheric Information Network (CCIN, https://www.ccin.ca/) and the Polar Data Catalogue (PDC, https://polardata.ca/) have been developed over the past two decades through collaborative partnerships between the University of Waterloo and numerous government, university, and private organizations to provide the data and information management infrastructure for the Canadian cryospheric community. The PDC is one of Canada’s primary online sources for data and information about the Arctic and is Canada's National Antarctica Data Centre.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Characteristics and median employment income of Canadian postsecondary graduates two years after graduation, by visible minority group, educational qualification and field of study (STEM and BHASE groupings)

Characteristics and median employment income of Canadian postsecondary graduates two years after graduation, by visible minority group, educational qualification (Classification of programs and credentials - professional degree variant) and field of study (Classification of Instructional Programs [CIP] Canada 2021 – STEM and BHASE groupings).<br>

Organization: Statistics Canada | Statistique Canada
Characteristics and median employment income of Canadian postsecondary graduates two years after graduation, by Indigenous identity, educational qualification and field of study (primary groupings)

Characteristics and median employment income of Canadian postsecondary graduates two years after graduation, by Indigenous identity, educational qualification (Classification of programs and credentials - professional degree variant) and field of study (Classification of Instructional Programs [CIP] Canada 2021 – Primary groupings).<br>

Organization: Statistics Canada | Statistique Canada
GeoAI - Change detection use case - Calgary

Temporal analysis of changes in Calgary, Alberta, based on GeoAI features automatically extracted from satellite images acquired in 2011 and 2021. Simple geospatial analysis intersecting Statistics Canada's Open Database of Buildings, version 3 (ODB v3) with GeoAI multidate building features enables the detection of buildings observed in 2021 that were not detected in 2011. The addition of new buildings is a good indicator of urban development and/or sprawl. Using the same approach, GeoAI multidate roads enable the detection of Statistics Canada's National Roads Network (NRN) segments present in 2021 and/or in 2011. The development of new roads is also indicator of urban development and/or sprawl. Complementarily, an analysis of changes in the forest coverage from the GeoAI datasets is done. This analysis reflects the gains and losses between both dates..

‌

GeoAI enables temporal coverage of various areas in Canada, thus providing a useful tool for change detection and trend analysis at high resolution. While the series is still fairly new, and such examples are limited for the time being, NRCan strives to gradually increase its GeoAI data offering for both spatial and temporal coverage.

For more information about the GeoAI - GeoBase Series, please visit the following link: https://open.canada.ca/data/en/dataset/74738ff5-5367-5958-9aee-98fffdcd1876

Organization: Natural Resources Canada | Ressources naturelles Canada
Great Lakes Connecting Channels Monitoring and Surveillance Data

Water quality and suspended sediment monitoring and surveillance data collected from the connecting channels of the Great Lakes to determine baseline water quality status, long term trends and spatial distributions, the effectiveness of management actions, determine compliance with sediment quality objectives and identify emerging issues are included in this dataset. The Great Lakes are joined together by river systems known collectively as connecting channels, including the St. Marys River, the St. Clair River (and Lake St. Clair), the Detroit River, the Niagara River, and the St. Lawrence River. Uniquely, the connecting channels originate from the outflow of one or more large, oligotrophic lakes rather than the accumulation of a network of tributaries.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
GeoAI - GeoBase Series

GeoAI are buildings, hydrography, forests, and roads automatically extracted using Deep Learning models applied to a source dataset, typically aerial or satellite images. The primary aim of GeoAI is to increase Canada's availability of high-resolution foundational geospatial data for both spatial and temporal coverage.

‌

The infrastructure and expertise put in place by NRCan enables a rapid, efficient, and scalable data creation process through the use of leading-edge technology and Artificial Intelligence models. Published datasets for a given source can be revisited at a later date as more accurate models are developed and put into production. For now, only static files are available, but as the series develops, new products and services will be added.

Several use cases of GeoAI data for change detection have been created. To view them, please follow the links below:

- Iqaluit: https://open.canada.ca/data/en/dataset/ef29513d-a007-408c-beba-65f86e7b5b01

- Calgary: https://open.canada.ca/data/en/dataset/bd07b597-5166-4b62-ae9c-245b3c62ea03

- Québec City: https://open.canada.ca/data/en/dataset/4026720e-f7fb-478e-a58f-c62ebe20005d

- Winnipeg: https://open.canada.ca/data/en/dataset/a6874aac-cfcd-4b92-bb3f-6031eedb5b57

- Victoria: https://open.canada.ca/data/en/dataset/f011c7b9-f79e-42f8-9481-9bf9788bb189

- Trois-Rivières: https://open.canada.ca/data/en/dataset/2b11a323-52c2-43d5-9c09-bc4b15b1bcc8

Organization: Natural Resources Canada | Ressources naturelles Canada
FunRoots: Root and leaf traits of tree seedlings of seven species in Eastern Canadian Forests

This dataset supports a study on root trait variability in seedlings of seven co-occurring tree species from temperate forests in Eastern North America (Canada). It comprises 338 individual measurements of eight root traits—spanning system-level, morphological, and architectural categories—along with one foliar trait. The traits measured are: Root-to-Shoot Ratio, Maximum Rooting Depth, Proportion of Absorptive Roots, Root Tissue Density, Specific Root Length, Average Diameter of Absorptive Roots, Root Branching Density, and Specific Leaf Area.  

Trait data were collected from seedlings of seven tree species under contrasting climate and light conditions across three regions in Quebec and Ontario during the summer of 2024 (between July 29 and August 9). The selected species include two gymnosperms and five angiosperms: Abies balsamea (L.) Mill., Pinus strobus L., Acer saccharum Marshall, Acer rubrum L., Betula alleghaniensis Britton, Betula papyrifera Marshall, and Quercus rubra L.  

Sampling followed a hierarchical nested design. Fourteen study plots (each approximately 1,250 m²) were established under two contrasting light conditions (open vs. closed sites) and nested within three regions: (1) Petawawa, Ontario (46.00°N, 77.43°W); (2) Kenauk, Quebec (45.75°N, 74.83°W); and (3) Duchesnay, Quebec (46.60°N, 71.40°W). The dataset also includes metadata on plot characteristics (location, soil properties), forest stand structure and composition, and understory vegetation. 


**How to cite the data:**  
Dendoncker M., Dubé B., Darquié L., Deschenes E., Lontsi Meli G.R., Maheu A., Munson A., Messier C., Ola A., Thiffault N., Villemaire-Côté O., Aubin I. 2025. FunRoots : Root and leaf traits of tree seedlings of seven species in Eastern Canadian Forests [Data set]. https://doi.org/10.23687/d9c4d93f-2388-4158-b3cf-49a9ecea6b2c  





Organization: Natural Resources Canada | Ressources naturelles Canada
First Nation Settlement Lands - Internal Parcels

Internal boundaries mark the limits of the parcels inside a jurisdictional area, for examples the internal boundaries of a First Nation Settlement Lands.

Details on specific feature types and their associated attributes can be found in the Integrated Cadastral Management Feature Catalogue, which is under development. For further information please contact the metadata responsible party. Associated information with respect to the Survey Records can be found at the following web site: https://www.nrcan.gc.ca/clss 

Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps). Discover more digital map data and interactive maps from Yukon’s digital map data collection.

For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

Organization: Government of Yukon | Gouvernement du Yukon
First Nation Settlement Lands

Surveyed Cadastral Framework for Yukon First Nations Settlement Lands and Tetlit Gwich'in Yukon Lands (settlement like) of the First Nations that have ratified their agreements. Settlement land is land identified in a First Nation's land claim agreement as settlement land of the first nation. There are three types of Settlement Land that a Yukon First Nation can own and manage: Category A: ownership of surface and subsurface; Category B: ownership of the surface only; Fee Simple (FS): private ownership. Note: Some surveys for Settlement Lands identified in their agreement are not yet complete therefore there may be parcels identified with the same land claim selection ID. Each Yukon First Nation has one Category A and Category B parcel identified as their adjustment boundary to adjust any changes in land quantum – as described in chapter 15.6. in each Yukon First Nations’ Final Agreement.

Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps). Discover more digital map data and interactive maps from Yukon's digital map data collection.

For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

Organization: Government of Yukon | Gouvernement du Yukon
Bankruptcies

Datasets of monthly, quarterly, and annual bankruptcy figures in B.C. and Canada. If you need help with this dataset, you can reach BC Stats at the email below; however, submitting a support request is recommended. Source: Office of the Superintendent of Bankruptcy Canada, accessed various times 2026. For the specific month of access, please refer to the individual resource. Monthly and annual data for 2025 revised May 2026 to correct the annual total of bankruptcies for an unknown industry.

Organization: Government of British Columbia | Gouvernment de la Colombie-Britannique
International Commodity Exports Trade Data

This dataset includes monthly and annual releases produced by BC Stats using data primarily from Statistics Canada’s International Trade Statistics (custom extract). Tables on trade in electrical energy are sourced from the Monthly Electricity Supply and Disposition Survey. If you need help with this dataset, you can reach BC Stats at the email below; however, submitting a support request is recommended. Adapted from Statistics Canada, International Trade Statistics (custom extract) and Monthly Electricity Supply and Disposition Survey, accessed various time throughout 2026. This does not constitute an endorsement by Statistics Canada of this product. For the specific month of access, please refer to the individual resource.

Organization: Government of British Columbia | Gouvernment de la Colombie-Britannique
BC Economic Accounts (BCEA) and Gross Domestic Product (GDP) Annual Data

The B.C. Economic Accounts (BCEA) translate information on income, savings and key economic processes – such as production, capital formation and consumption – into a consistent system of statistics that can be used to explain the functioning of the economy. In addition, the BCEA contain important data on price changes and the relative growth of various industries over time. If you need help with this dataset, you can reach BC Stats at the email below; however, submitting a support request is recommended. Gross Domestic Product (GDP) is a measure of the value added to the economy by current production and is one of the components of the B.C. Economic Accounts. Adapted from Statistics Canada, Provincial and Territorial Gross Domestic Product by Income and by Expenditure Accounts, November 2025. This does not constitute an endorsement by Statistics Canada of this product. Adapted from Statistics Canada, Annual Demographic Estimates: Canada, Provinces and Territories, November 2025. This does not constitute an endorsement by Statistics Canada of this product. Adapted from Statistics Canada, Gross Domestic Product by Industry - Provincial and Territorial (Annual), May 2026. This does not constitute an endorsement by Statistics Canada of this product.

Organization: Government of British Columbia | Gouvernment de la Colombie-Britannique
Labour Force Survey (LFS) Monthly and Annual

This dataset includes monthly and annual releases produced by BC Stats using data primarily from the Labour Force Survey (LFS). Tables on earnings and employment trends also reference the Consumer Price Index (CPI). If you need help with this dataset, you can reach BC Stats at the email below; however, submitting a support request is recommended. Adapted from Statistics Canada, Labour Force Survey (LFS) and Consumer Price Index (CPI), accessed various times throughout 2026. For the specific month of access, please refer to the individual resource. This does not constitute an endorsement by Statistics Canada of this product.

Organization: Government of British Columbia | Gouvernment de la Colombie-Britannique
Building Permits (BPER)

Building permit data and highlights report for Canada and British Columbia, including permit values and number of residential units created. British Columbia data is available at the census division and census subdivision levels. Annual data for British Columbia is available at the economic region level. The monthly dataset covers the period from January 2003 to April 2026, and the highlights report covers data from January 2025 to April 2026. Annual data is available for 2003 to 2025. Note: Due to changes in methodology, there is a data break between 2003–2017 and January 2018 onward. Therefore, these data are not directly comparable. Additionally, for 2003 to 2017, monthly data by residential unit type at the CD and CSD levels are not available and therefore only total residential units are included in this file. The Building Permits (BPER) survey is a key indicator of building activity; however, some data, particularly at more granular geographic levels, may be of lower quality. Users are advised to exercise caution when interpreting this data. For the most accurate and specific building permit information, please refer directly to the relevant municipality. Although widely used as a leading indicator, BPER data does not capture all construction activity in the province, as not all areas report and some large projects do not require a permit. In some cases, the value of permits and units shown in this data is less than actual due to incomplete reporting by municipalities. If you need help with this dataset, you can reach BC Stats at the email below; however, submitting a support request is recommended. Adapted from Statistics Canada, Building Permits (BPER), April and May 2026. This does not constitute an endorsement by Statistics Canada of this product. Monthly data for 2003 to 2017 accessed November 2025.

Organization: Government of British Columbia | Gouvernment de la Colombie-Britannique
Tourism Room Revenue and Property Counts subject to MRDT by Jurisdiction

Room revenues and number of active properties subject to MRDT by jurisdiction. The most recent data available is for March 2026. If you need help with this dataset, you can reach BC Stats at the email below; however, submitting a support request is recommended. Source: BC Stats and Ministry of Finance; June 2026.

Organization: Government of British Columbia | Gouvernment de la Colombie-Britannique
Clear Creek Camera Locations

Clear Creek Caribou, a northern mountain herd, were the focal species for this project. Reconnyx HyperFire 2 Trail Cameras were strategically deployed in caribou habitat across a gradient of disturbance. CH cameras were accessed by helicopter and CR cameras were accessed by road. All cameras were placed on game trails approximately 1.7m above the ground, and approximately 2-4m away from (but facing) the trail . O’Gorman’s Long Distance Call Lure was applied annually to holes drilled into a scent tree, or where necessary into ground vegetation or rocks, located 4-7m from the camera within the field of view. Cameras were programmed to take a single time-lapse photo daily at noon to monitor environmental changes and verify functionality. Upon heat or motion activation, cameras captured a burst of five consecutive photos with no delay between activations. Cameras were moved if >5 independent photos of humans were captured, no target species were detected, or if there was an active dwelling or camp within 1km.

This is a collaborative project with the First Nation of Na-Cho Nyäk Dun (FNNND) and Government of Yukon Department of Environment, with support from Tr’ondëk Hwëch’in. It was undertaken with the financial support of the Department of Environment, the Government of Canada through the federal Department of Environment and Climate Change (Grant Number: GCXE22C217​ to FNNND) and through the Canada-Yukon Nature Agreement. For more information about this data please contact ce.cameratrapping@yukon.ca. 

Cumulative Effects Programs Remote Camera Detections - Clear Creek 2023-24 - Data - Open government portal - Government of Yukon

Cumulative Effects Programs Remote Camera Detections - Clear Creek 2024-25 - Data - Open government portal - Government of Yukon

Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps). Discover more digital map data and interactive maps from Yukon’s digital map data collection.

For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

Organization: Government of Yukon | Gouvernement du Yukon
Indigenous Boundaries - Core Areas

During negotiations of the Umbrella Final Agreement, Kluane First Nation (KFN) and White River First Nation (WRFN) began negotiations together under one organization, the Kluane Tribal Council, which submitted one map of a traditional territory (Boundary) on behalf of both KFN and WRFN. Attempts were made to reach agreement with KFN and WRFN on how the map should be divided between both groups. As a result, a “KFN Core Area”, “WRFN Core Area” and the “KFN-WRFN Core Areas” map was incorporated into the KFN Final Agreement.

These regions are defined in Section 2 as Specific Provisions: Specific Provision"KFN Core Area" means the area identified as Kluane First Nation Core Area on Map Sheet "KFN-WRFN Core Areas", Appendix B – Maps, which forms a separate volume to this Agreement. Specific Provision "WRFN Core Area" means the area identified as White River First Nation Core Area on Map Sheet "KFN-WRFN Core Areas", Appendix B – Maps, which forms a separate volume to this Agreement. KFN signed its Final Agreement, obtaining Treaty Rights, in 2003. For the purpose of this data set, a Treaty Right refers to an Indigenous (“Aboriginal”) right that has been recognized in a treaty.

Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps). Discover more digital map data and interactive maps from Yukon’s digital map data collection.

For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

Organization: Government of Yukon | Gouvernement du Yukon