AndreaBozzo/ceres-open-data-index huggingface dataset:
British Columbia Coastal Anchor Marks

The marks left in the seabed by the commercial anchoring process can be seen as linear features in high-resolution multibeam bathymetry data. These features have been digitized to polylines for individual marks and polygons for anchor scour zones for British Columbia's (BC) commercial anchorages. They are made available via the Federal Geospatial Platform (FGP) for use in a Geographical Information System (GIS). This feature dataset is complete for published BC commercial anchorages and the multibeam bathymetry data available in 2021. It does not represent features produced since the collection of each multibeam bathymetry survey nor any features infilled since. The data are intended to be used for scientific research to better understand the cumulative impacts to the seabed from commercial anchoring at a 1:5000 scale or greater.

Organization: Natural Resources Canada | Ressources naturelles Canada
AAFC Infrastructure Flood Mapping in Saskatchewan 1 meter Bare Earth Hillshade

The AAFC Infrastructure Flood Mapping in Saskatchewan 1 meter Bare Earth Hillshade is are the bare earth hillshades created at a 1 m interval for the capture area of Saskatchewan. The bare earth hillshade images were derived from the bare earth DEM. The hillshades were created using a 315 degree sun azimuth and 45 degree sun angle.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
AAFC Infrastructure Flood Mapping in Saskatchewan 1 meter Full Feature DEM

The AAFC Infrastructure Flood Mapping in Saskatchewan 1 meter Full Feature DEM are the full feature DEMs created at a 1 m interval for the capture area of Saskatchewan. The full feature grid point elevations were derived from the highest point in the High Vegetation class. At coordinates with no High Vegetation points the elevation of the corresponding bare earth grid point was applied.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
AAFC Infrastructure Flood Mapping in Saskatchewan 1 meter Bare Earth DEM

The AAFC Infrastructure Flood Mapping in Saskatchewan 1 meter Bare Earth DEM are the bare earth DEMs created at a 1 m interval for the capture area of Saskatchewan. The bare earth DEM elevations were derived from a TIN surface model of the combined DTM Key Point and Ground classes in the LiDAR point cloud tiles. It should be noted that the grid point elevations have been interpolated from the LiDAR points and may contain greater uncertainty depending on the amount of interpolation performed.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
AAFC Infrastructure Flood Mapping in Saskatchewan

LiDAR data collected in the fall of 2011 and spring 2012 for AAFC owned water control structures in the Cypress, Middle Creek, Pheasant Creek, Roughbark, Moosomin,Braddock, Maple Creek, Eastend, Altawan, Admiral, Russell Creek, Cadillac-Gouveneur and Lafleche areas. Includes Digital Terrain Models, Grid Points, Hillshades, Contours and Orthorectified Imagery.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
AAFC Infrastructure Flood Mapping in Saskatchewan - LASer (LAS) Files

LiDAR data collected in the fall of 2011 and spring 2012 for AAFC owned water control structures in the Pheasant Creek, Roughbark, Moosomin,Braddock, Maple Creek, Eastend, Altawan, Admiral, Russell Creek, Cadillac-Gouveneur, Cypress, Middle Creek and Lafleche areas.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
AAFC Infrastructure Flood Mapping in Saskatchewan 1 meter Full Feature Hillshade

The AAFC Infrastructure Flood Mapping in Saskatchewan 1 meter Full Feature Hillshade is are the full feature hillshades created at a 1 m interval for the capture area of Saskatchewan. The full feature hillshade images were derived from the full feature DEM. The hillshades were created using a 315 degree sun azimuth and 45 degree sun angle.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Lake Huron Canadian Baseline Coastal Habitat Survey

Habitat and ecosystem data used to conduct a baseline survey of coastal habitat in Lake Huron, Georgian Bay, and St. Marys River are included in this dataset. The Lake Huron Survey methodology consists of four general steps; 1) delineating the coastal ecosystem into coastal units based on water flow, ecology, and geology; 2) selecting key habitat types including wetlands, uplands (natural and anthropogenic), tributaries, and inland lakes and ponds, and the measures to assess each habitat type and the entire coastal ecosystem; 3) conducting a spatial analysis and summarizing results; and 4) sharing results.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
General status of wild species

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The General status of wild species indicators summarize the general status of species in Canada. It also highlights the general status of particular groups of species, as well as the general status in each region (provinces, territories, and oceanic regions). Another sub-indicator reports on exotic species in Canada. The indicators provide a measure of extinction risk and an indication of the overall state of biodiversity in Canada, since the loss of a species is a loss of biodiversity. Information is provided to Canadians in a number of formats including: static and interactive maps, interactive charts, graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated.


Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Estimates 2023-24 

Part I of the Estimates process is the Government Expenditure Plan. It provides a summary and highlights of year-over-year changes in departmental spending and transfer payments in order to provide perspective on the major issues influencing government planned spending. Part II is the Main Estimates, known traditionally as the “Blue Book.” It directly supports the appropriation acts for the Main Estimates. The publication provides a listing of the resources required by individual departments and agencies for the upcoming fiscal year in order to deliver the programs for which they are responsible. It identifies the spending authorities (votes) and the amounts to be included in subsequent appropriation bills that Parliament will be asked to approve to enable the government to proceed with its spending plans

Organization: Treasury Board of Canada Secretariat | Secrétariat du Conseil du Trésor du Canada
PACP committee briefing binder: Chief Operating Officer for Service Canada - October 25, 2022

Lori MacDonald, Senior Associate Deputy Minister of Employment and Social Development and Chief Operating Officer for Service Canada, Appearance before the Standing Committee on Public Accounts, 2022 Reports, Auditor General of Canada, Parliament of Canada (Report 1—Access to Benefits for Hard-to-Reach Populations) House of Commons October 25, 2022

Organization: Employment and Social Development Canada | Emploi et Développement social Canada
Lethal and sublethal toxicity of neonicotinoid and butenolide insecticides to the mayfly, Hexagenia spp.

Neonicotinoid insecticides are environmentally persistent and highly water-soluble, and thus are prone to leaching into surface waters where they may negatively affect non-target aquatic insects. Most of the research to date has focused on imidacloprid, and few data are available regarding the effects of other neonicotinoids or their proposed replacements (butenolide insecticides). The objective of this study was to assess the toxicity of six neonicotinoids (imidacloprid, thiamethoxam, acetamiprid, clothianidin, thiacloprid, and dinotefuran) and one butenolide (flupyradifurone) to Hexagenia spp. (mayfly larvae). Acute (96-hour), water-only tests were conducted, and survival and behaviour (number of surviving mayflies inhabiting artificial burrows) were assessed. Acute sublethal tests were also conducted with imidacloprid, acetamiprid, and thiacloprid, and in addition to survival and behaviour, mobility (ability to burrow into sediment) and recovery (survival and growth following 21 day in clean sediment) were measured. Imidacloprid concentrations measured in North American surface waters have been found to meet or exceed those causing toxicity to Hexagenia, indicating that environmental concentrations may adversely affect Hexagenia and similarly sensitive non-target aquatic species.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Staffing and Non-Partisanship Survey 2021

The SNPS is an important tool for understanding public servants' perceptions of the public service staffing system as well as their awareness of their legal rights and responsibilities regarding political activities.
The information gathered in the survey will be used to identify current and emerging trends at government-wide and organizational levels, to inform potential improvements to staffing policies and practices, and better target efforts to safeguard non-partisanship within the federal public service.
The survey will provide vital information to managers, human resources advisors and Deputies to improve staffing within their own organizations, and to the Public Service Commission (PSC) on the staffing system as a whole. The information will also be used to support reporting to Parliament via the PSC's Annual Report.

The survey is conducted every two years.

Please visit the [Public Service Commission’s 2021 Staffing and Non-Partisanship Survey](https://www5.psc-cfp.gc.ca/dsad-dsda/snps-2021/index-en.html) interactive visualisation tool to that makes use of the data in this collection.

Organization: Public Service Commission of Canada | Commission de la fonction publique du Canada
PACP committee briefing binder: Senior Associate Deputy Minister of ESDC - October 25, 2022

Lori MacDonald, Senior Associate Deputy Minister of Employment and Social Development and Chief Operating Officer for Service Canada, Appearance before the Standing Committee on Public Accounts, 2022 Reports, Auditor General of Canada, Parliament of Canada (Report 1—Access to Benefits for Hard-to-Reach Populations) House of Commons October 25, 2022

Organization: Employment and Social Development Canada | Emploi et Développement social Canada
Satisfaction with personal relationships, by gender and other selected sociodemographic characteristics

Percentage of persons aged 15 years and over by level of satisfaction with their personal relationships, by gender and other selected sociodemographic characteristics: age group; immigrant status; visible minority group; Indigenous identity; persons with a disability, difficulty or long-term condition; LGBTQ2+ people; highest certificate, diploma or degree; main activity; and urban and rural areas.
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Organization: Statistics Canada | Statistique Canada
Ice freeze days (herbaceous crops) during non-growing season (<-5°C)

The number of days in the forecast period with a minimum temperature below the frost temperature, -5°C for herbaceous crops over the non-growing season (ifd_herb_nogrow).   
  
  Week 1 and week 2 forecasted index is available daily from November 1 to March 31.  
  
  Week 3 and week 4 forecasted index is available weekly (Thursday) from November 1 to March 31.  
  
  Over-wintering crops are biennial and perennial field crops such as herbaceous plants (strawberry, alfalfa, timothy, and many other forage crops) and woody fruit trees (apple, pear, peach, cherry, plum, apricot, chestnut, pecan, grape, etc.). These crops normally grow and develop in the growing season and become dormant in the non-growing season. However, extreme weather and climate events such as cold waves in the growing season and ice freezing events during the winter are a major constraint for their success of production and survival in Canada. The winter survival of these plants depends largely on agrometeorological conditions from late autumn to early spring, especially ice-freezing damage during the winter season. The optimum temperature for such crops is 25°C.  
  
  Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind.  The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily basis.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Probability of total precipitation above 50mm

Probability of total precipitation above 50mm over the forecast period (pweek50_prob).  
  
  Week 1 and week 2 forecasted probability is available daily from September 1 to August 31.  
  
  Week 3 and week 4 forecasted probability is available weekly (Thursday) from September 1 to August 31.  
  
  Precipitation (moisture availability) establishes the economic yield potential and product quality of field crops. Both dry and wet precipitation extremes have the ability to inhibit proper crop growth. The greatest daily precipitation index covers the risk of excessive precipitation in the short term, while the other indices pertain to longer term moisture availability.  
  
  Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind.  The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily and weekly basis.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Number of Strong Wind Days

The number of days during the forecast period with an average wind speed greater than 30 km/h (nswd).  
  
  Week 1 and week 2 forecasted index is available daily from September 1 to August 31.  
  
  Week 3 and week 4 forecasted index is available weekly (Thursday) from September 1 to August 31.  
  
  Winds can significantly influence crop growth and yield mainly due to mechanical damage of plant vegetative and reproductive organs, an imbalance of plant-soil-atmosphere water relationships, and pest and disease distributions in agricultural fields. The maximum wind speed and the number of strong wind days over the forecast period represent short term and extended strong wind events respectively.  
  
  Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind.  The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily and weekly basis.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Ice freeze days (woody crops) in dormant period (<-30°C)

The number of days in the forecast period with a minimum temperature below the frost temperature, -30°C for woody crops over the dormant period (ifd_wood_dorm).  
  
  Week 1 and week 2 forecasted index is available daily from November 1 to March 31.  
  
  Week 3 and week 4 forecasted index is available weekly (Thursday) from November 1 to March 31.  
  
  Over-wintering crops are biennial and perennial field crops such as herbaceous plants (strawberry, alfalfa, timothy, and many other forage crops) and woody fruit trees (apple, pear, peach, cherry, plum, apricot, chestnut, pecan, grape, etc.). These crops normally grow and develop in the growing season and become dormant in the non-growing season. However, extreme weather and climate events such as cold waves in the growing season and ice freezing events during the winter are a major constraint for their success of production and survival in Canada. The winter survival of these plants depends largely on agrometeorological conditions from late autumn to early spring, especially ice-freezing damage during the winter season. The optimum temperature for such crops is 25°C.  
  
  Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind.  The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily basis.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Probability of Heat wave days for warm season crops (>35°C)

The Probability (likelihood) of heat wave days for warm season crops occurring. Heat wave days: The number of days in the forecast period with a maximum temperature above the cardinal maximum temperature, the temperature at which crop growth ceases. This temperature is 35°C for warm season crops (dhw_warm_prob).  
  
  Week 1 and week 2 forecasted probability is available daily from April 1 to October 31.  
  
  Week 3 and week 4 forecasted probability is available weekly (Thursday) from April 1 to October 31.  
  
  Warm season crops require a relatively warm temperature condition. Typical examples include bean, soybean, corn and sweet potato. They normally grow during the summer season and early fall, then ripen in late fall in southern Canada only. Other agricultural regions in Canada do not always experience sufficiently long growing seasons for these plants to achieve maturity. The optimum temperature for such crops is 30°C.  
  
  Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind.  The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily and weekly basis.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Probability of Cool wave days for cool season/overwintering crops (<5°C)

The Probability (likelihood) of cool wave days for cool season/overwintering crops occurring Cool Wave Days are the number of days in the forecast period with a minimum temperature below the cardinal minimum temperature, the lowest temperature at which crop growth will begin (dcw_cool_prob). This temperature is 5°C for cool season crops.  
  
  Week 1 and week 2 forecasted probability is available daily from April 1 to October 31.  
  
  Week 3 and week 4 forecasted probability is available weekly (Thursday) from April 1 to October 31.  
  
  Cool season crops require a relatively low temperature condition. Typical examples include wheat, barley, canola, oat, rye, pea, and potato. They normally grow in late spring and summer, and mature between the end of summer and early fall in the southern agricultural areas of Canada. The optimum temperature for such crops is 25°C.  
  
  Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind.  The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily and weekly basis.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Frost-free days for warm season crops (>0°C)

Frost free days are the number of days in the forecast period with a minimum temperature above the frost temperature; the temperature at which frost damage occurs. This temperature is 0°C for warm season crops (ffd_warm).  
  
  Week 1 and week 2 forecasted index is available daily from April 1 to October 31.  
  
  Week 3 and week 4 forecasted index is available weekly (Thursday) from April 1 to October 31.  
  
  Warm season crops require a relatively warm temperature condition. Typical examples include bean, soybean, corn and sweet potato. They normally grow during the summer season and early fall, then ripen in late fall in southern Canada only. Other agricultural regions in Canada do not always experience sufficiently long growing seasons for these plants to achieve maturity. The optimum temperature for such crops is 30°C.  
  
  Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind.  The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily and weekly basis.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Grain Elevators in Canada - 2019

The Grain Elevators in Canada - 2019 dataset maps the list of grain elevators in Canada as provided by the Canadian Grain Commission (CGC).  The elevators have been located as much as possible to an actual location rather than generalizing to the station name centroid.  Additionally car spot information from CN, CP and the grain companies has been added where this has been published.  
  
  This dataset attempts to provide a temporal and geographical extent of the grain elevators in Canada.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Cool wave days for warm season crops (< 10°C)

Cool Wave Days are the number of days in the forecast period with a minimum temperature below the cardinal minimum temperature, the lowest temperature at which crop growth will begin (dcw-warm). This temperature is 10°C for warm season crops.  
  
  Week 1 and week 2 forecasted index is available daily from April 1 to October 31.  
  
  Week 3 and week 4 forecasted index is available weekly (Thursday) from April 1 to October 31.  
  
  Warm season crops require a relatively warm temperature condition. Typical examples include bean, soybean, corn and sweet potato. They normally grow during the summer season and early fall, then ripen in late fall in southern Canada only. Other agricultural regions in Canada do not always experience sufficiently long growing seasons for these plants to achieve maturity. The optimum temperature for such crops is 30°C.  
  
  Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind.  The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily and weekly basis.

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