AndreaBozzo/ceres-open-data-index huggingface dataset:
Detailed Soil Survey

A soil survey is an inventory of soils and their spatial distribution over a landscape. Soil survey reports contain two parts. The first part is a soil map or series of maps at a particular scale with coding for each soil. Soil survey reports also include a supporting document that contains background information such as how the soil survey was conducted, and an explanation of interpretive criteria and a summary of the area occupied by various soil types. The detailed soil surveys identify more of the variation in soil types across smaller landscapes, as compared to Generalized (1:100 000, i.e. provincial overview) and Reconnaissance or General (1:125 000, or 1/2 inch to 1 mile.) soil surveys. Detailed soil survey information is much more accurate and reliable for making decisions at the farm-level. Soil surveys have been published for most of the agricultural areas, and many surrounding areas, across Canada. Data from these surveys comprise the most detailed soil inventory information in the National Soil Database (NSDB). Version 3 was created by Agriculture and Agri-Food Canada in the 2010's by amalgamating version 2 data. It introduced some minor refinements to the version 2 data structure to provide closer alignment with the Soil Landscapes of Canada data structure.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Prince Edward Island Detailed Soil Survey

The Prince Edward Island Detailed Soil Survey is a dataset series describing the spatial distribution of soils and associated landscapes in the Canadian province of Prince Edward Island. Soil landscape information compiled and published over the previous several decades provided the basis for the development of this relational database. The graphic soil landscape polygons are intended to be represented at a scale of 1:75,000. The associated soil landscape information and soil characteristics are described in a standard format in the Component (CMP), Soil Name File (SNF) and Soil Layer File (SLF) tables.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Manitoba Detailed Soil Survey

The Manitoba Detailed Soil Survey dataset series at a scale of 1:100 000 consists of geo-referenced soil polygons with linkages to attribute data found in the associated Component File (CMP), Soil Names File (SNF) and Soil Layer File (SLF).    
  
  Together, these datasets describe the spatial distribution of soils and associated landscapes for nearly all agricultural areas in southern Manitoba, as well as some parts of northern and eastern Manitoba.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
British Columbia Detailed Soil Survey

The British Columbia Detailed Soil Survey dataset series at a scale of 1:100 000 consists of geo-referenced soil polygons with linkages to attribute data found in the associated Component File (CMP), Soil Names File (SNF) and Soil Layer File (SLF).    
  
  Together, these datasets describe the spatial distribution of soils and associated landscapes for nearly all agricultural areas for the Lower Fraser Valley, British Columbia.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Travel and border post-advertising campaign evaluation tool (ACET): methodological report 

Archived and Outdated Information:
This publication is out of date and should be referenced for research or recordkeeping purposes only. It is not subject to the Government of Canada Web Standards and has not been altered or updated since it was archived.

This report presents the methodological details for the Travel and Border Post-Advertising Campaign 
Evaluation Tool (ACET) conducted by Advanis Inc. on behalf of Global Affairs Canada (GAC). The survey was 
administered among 2,269 members of the adult Canadian general public aged 18 or older.

Organization: Global Affairs Canada | Affaires mondiales Canada
Hydro-conditioned LiDAR DEM of catchments near Swan Lake, Pembina River Watershed

This LiDAR DEM, originated from the Government of Manitoba (2019-05), was hydro-conditioned with a recent culvert inventory including GIS data from the Province of Manitoba for provincial highways as well as hard copy maps from the Rural Municipality of Lorne. It also included GPS and desktop surveys as part of a collaborative effort between Agriculture and Agri-Food Canada, Swan Lake First Nation, and Pembina Valley Watershed District.  
  
  The hydro-conditioned DEM was used by the International Institute for Sustainable Development (IISD) as input for hydrological modelling of catchments near Swan Lake flowing into the Pembina River (Pembina River Watershed, MB) to spatially target water-related agricultural beneficial management practices (e.g, flood management infrastructure, water retention structures, nutrient and sediment load reduction practices).   
  
  The DEM spatial extent represents the area of interest referred to as the “Swan Lake Study Area”, as part of the Eastern Prairies Living Lab, AAFC (2019-2023).

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Architectural services, summary statistics

The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of architectural services and landscape architectural services NAICS (54131 &amp; 54132), annual, for five years of data.

Organization: Statistics Canada | Statistique Canada
Spatial Density of Barley in Canada

This data shows spatial density of Barley cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which Barley is more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have Barley based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Spatial Density of Flax in Canada

This data shows spatial density of flax cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which flax is more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have flax based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Spatial Density of Corn in Canada

This data shows spatial density of Corn cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which Corn is more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have Corn based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Spatial Density of Peas in Canada

This data shows spatial density of peas cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which peas are more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have peas based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Spatial Density of Rye in Canada

This data shows spatial density of rye cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which rye are more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have rye based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Spatial Density of Canary Seed in Canada

This data shows spatial density of canary seed cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which canary seed is more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have canary seed based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Spatial Density of Spring Wheat in Canada

This data shows spatial density of spring wheat cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which spring wheat is more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have spring wheat based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Spatial Density of all Wheat in Canada

This data shows spatial density of Wheat cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which Wheat is more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have Wheat based on analysis of the 2009 to 2021 AAFC annual crop inventory data. Wheat consists of all types of wheat including winter wheat from the AAFC annual crop inventory.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Spatial Density of Cereals in Canada

This data shows spatial density of Cereals cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which Cereals are more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have Cereals based on analysis of the 2009 to 2021 AAFC annual crop inventory data.  
  
  Cereals consist of the following specific crop types from the AAFC annual crop inventory; Cereals, Barley (including Spring and Winter), Greenfeed / Mixed Cereals, Millet, Oats, Rye (including Spring and Winter), Spelt, Triticale (including Spring and Winter), Wheat (including Spring and Winter), and Other Cereal

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Spatial Density of Major Crops

These datasets show the areas where major crops can be expected within the agricultural regions of Canada. Results are provided as rasters with numerical values for each pixel indicating the level of spatial density calculated for a specific crop type in that location. Regions with higher spatial density for a certain crop have higher likelihood to have the same crop based on the previous years mapped crop inventories.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Spatial Density of Oats in Canada

This data shows spatial density of oats cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which oats are more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have oats based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Spatial Density of Beans in Canada

This data shows spatial density of beans cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which beans is more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have beans based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Spatial Density of Soybean in Canada

This data shows spatial density of Soybean cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which Soybeans are more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have Soybeans based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Spatial Density of Mustard in Canada

This data shows spatial density of mustard cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which mustard is more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have mustard based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Spatial Density of Sunflower in Canada

This data shows spatial density of sunflower cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which sunflower is more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have sunflower based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Spatial Density of Pulses in Canada

This data shows spatial density of pulses cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which pulses are more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have pulses based on analysis of the 2009 to 2021 AAFC annual crop inventory data.  
  
  Pulses consist of the following specfic crops types from the AAFC annual crop inventory; Pulses, Beans, Black Beans, Cranberry Beans, Faba Beans, Great Northern Beans, Kidney Beans, Lima Beans, Pinto Beans, Navy Beans, Red Beans, White Beans, Other Beans, Lentils, Peas, Chick Peas, Field Peas, White Peas, Other Peas, and Other Pulse

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Crop Field Trial Regions

The Canadian major and minor crop field trial regions were developed following extensive stakeholder consultation and have been harmonized between the Pest Management Regulatory Agency (PMRA) and the Environmental Protection Agency of the USA.   
  
  The Canadian major and minor crop field trial regions were delineated, using the geographic  
  
  information system (GIS) data processing hardware and software facilities in Spatial Analysis  
  
  and Geomatics Applications (SAGA), Agriculture Division, Statistics Canada. In general, the  
  
  delineation process involved integration, evaluation and reference to numerous geographic data sources in a GIS to determine the best sources for the delineation.  
  
  There are seven major and four minor field trial regions. Each of these regions recognizes physical characteristics, such as soils, and crops and climate, that make the region unique within the Canadian agricultural landscape. The subzones address differences within a region, generally reflected in the types of crops grown in that region. The Canadian regions, as much as possible, correspond to the U.S. regions

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Coastal Species at Risk - Prince Edward Island

The sustainability of species at risk is an important assessment of ecosystem biodiversity. The status of each threatened species can infer how well an ecosystem is functioning to maintain species diversity. Assessing the status of coastal species at risk, including piping plover (Charadrius melodus), Gulf of St. Lawrence aster (Symphyotrichum laurentianum), and beach pinweed (Lechea maritima), is valuable as an indicator of ecological integrity in the coastal ecosystem in PEI National Park. The population abundance of both Gulf of St. Lawrence aster and beach pinweed is assessed against the historical abundance levels and whether or not it has an increasing or decreasing trend in population size. Piping plover is assessed on both number of breeding pairs present, as well as their reproductive productivity. Thresholds of 15 breeding pairs and 1.65 fledglings per pair have been established. 

Organization: Parks Canada | Parcs Canada
Spatial Density of Canola in Canada

This data shows spatial density of Canola cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which Canola is more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have Canola based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Nearshore Ice - Prince Edward Island

Prince Edward Island with its sandstone bedrock and dynamic sandy beaches is very sensitive to the effects of sea-level rise. The north shore of PEI National Park is exposed to the Gulf of St. Lawrence and large waves and storm surge. By monitoring the nearshore ice, the level of PEI National Park’s coastal protection against erosion during the winter months can be assessed. The combination of rising sea levels, increased storm intensities, and higher waves is predicted to lead to increased flooding, infrastructure loss, and increased erosion in coastal areas. By monitoring nearshore sea ice we can anticipate climate change effects on coastal morphology. Prior to the 2013-2014 ice season, field measurements were taken to calculate a Total Nearshore Ice Protection Index based on the number of weeks nearshore ice was present and the extent of ice coverage along the shoreline between December 15th and April 15th. Beginning in December of 2013, time-lapse photography methods were adopted to measure nearshore ice and the number of days the nearshore ice complex is present. Ice presence from weekly monitoring, prior to 2013-2014 ice season, was converted to daily records based on the weekly data and field observations (i.e. ice abundance) to allow for comparisons with the more recent, photographic-generated data. This data is used to determine if the number of days with nearshore ice protection along the coast of Prince Edward Island National Park is within the expected historical range and has this number remained stable over time?

Organization: Parks Canada | Parcs Canada
Bank Swallows - Prince Edward Island

The abundance of bank swallow (Riparia riparia) nest holes within cliff and bank habitats along PEI National Park coastline is monitored. Previously, large historical colonies were surveyed annually, and every five years a complete census of the entire park shoreline was completed. As of 2010, a complete census is done annually along the coastline of PEI National Park following the breeding season. Nest holes are counted along the coast throughout PEI National Park by multiple observers.  Counts are averaged annually to estimate nest hole abundance. Monitoring bank swallow nest hole abundance will determine if, based on historical records, the population size is within the expected range, or if it is increasing or decreasing over time.

Organization: Parks Canada | Parcs Canada
Civil aviation financial statistics, Canadian air carriers, Levels I and II, quarterly

<p>Quarterly civil aviation financial statistics (total, operating revenue for scheduled and charter services both separately and combined, passenger revenue and goods revenue for both scheduled and charter services, all other operating revenue, total, operating expenses, turbo fuel expenses, wages, salaries and benefits paid, all other operating expenses, net income (loss), operating income (loss), non-operating income (loss) and average number of employees. Data are for Canadian air carriers, Levels I and II combined. All data are expressed in thousands of dollars, except for the average number of employees, which is expressed in full.<br>
</p>


Organization: Statistics Canada | Statistique Canada
Civil aviation operating statistics, by sector, Canadian air carriers, Levels I and II, quarterly

<p>Quarterly civil aviation operating statistics (passengers, goods carried (kilograms), passenger-kilometres, passenger tonne-kilometres, goods tonne-kilometres, total tonne-kilometres, hours flown) by sector (total domestic and international, domestic, international, transborder (Canada - United States) and other international). Data are for Canadian air carriers, Levels I and II combined. All data are expressed in thousands.<br></p>

Organization: Statistics Canada | Statistique Canada
Civil aviation operating statistics, by type of service, Canadian air carriers, Levels I and II, quarterly

<p>Quarterly civil aviation operating statistics (passengers, goods carried (kilograms), passenger-kilometres, passenger tonne-kilometres, goods tonne-kilometres, total tonne-kilometres, hours flown) for scheduled and charter services both separately and combined, for Canadian air carriers, Levels I and II combined. For scheduled services only, operating statistics also include available seat-kilometres, passenger load factor (percent), available tonne-kilometres and weight load factor (percent). Data are expressed in thousands, except for the number of carriers included, which is expressed in full.<br></p>

Organization: Statistics Canada | Statistique Canada
Food Microbiology - Targeted Surveys - Final Report - Parasites in Imported Whole Fresh Sugar Snap and Snow Peas - April 1, 2016 to March 31, 2019

​​A targeted survey on parasites in imported whole fresh sugar snap and snow peas analysed 932 samples for Cyclospora, Cryptosporidium and Toxoplasma. Of the 932 samples, 489 were also tested for Giardia. All samples were found to be free of parasites.


Organization: Canadian Food Inspection Agency | Agence canadienne d'inspection des aliments