AndreaBozzo/ceres-open-data-index huggingface dataset:
Total Precipitation

The total precipitation over the forecast period (p1w).  
  
  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.  
  
  Units: mm  
  
  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
Ice freeze days (herbaceous  crops) in dormant period (< -15°C)

The number of days in the forecast period with a minimum temperature below the frost temperature. It is -15°C for herbaceous crops over the dormant period (ifd_herb_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.    
  
  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 Ice freeze days (herbaceous crops) during non-growing season (<-5°C)

The probability (likelihood) of ice freeze days, 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_prob).  
  
  Week 1 and week 2 forecasted probability is available daily from November 1 to March 31.  
  
  Week 3 and week 4 forecasted probability 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
Frost-free days for cool season/overwintering crops (>-2°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 -2°C for cool season crops (ffd_cool).  
  
  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.  
  
  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
Ice freeze days (woody crops) during non-growing season (<-10°C)

The number of days in the forecast period with a minimum temperature below the frost temperature. It is -15°C for herbaceous crops over the dormant period (ifd_wood_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.    
  
  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
Heat wave days for cool season crops (>30°C)

Heat Wave Days are the number of days in the forecast period with a maximum temperature above the cardinal maximum temperature, the temperature at which crop growth ceases (dhw_cool). This temperature is 30°C for cool 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.  
  
  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
Probability of Heat wave days for cool season crops (>30°C)

The Probability (likelihood) of heat wave days for cool 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 30°C for cool season crops (dhw_cool_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.  
  
  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
Probability of Cool wave days for warm season crops (< 10°C)

The Probability (likelihood) of cool wave days for warm season 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_warm_prob). This temperature is 10°C for warm 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.  
  
  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 - 2015

The Grain Elevators in Canada – 2015 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
Crude oil and equivalent supply and disposition

This table contains 12 series, with data for years 1948 - 1992 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada);&nbsp; Supply and disposition, crude oil and equivalent (12 items: Total supply; Domestic production; Imports; Deliveries to refineries; ...).<br>

Organization: Statistics Canada | Statistique Canada
Census of Agriculture: Data Linked to Geographic Boundaries

These files from Statistics Canada present Census of Agriculture data allocated by standard census geographic polygons: Provinces and Territories (PR), Census Agricultural Regions (CAR), Census Divisions (CD) and Census Consolidated Subdivisions (CCS).   
  
  Five datasets are provided:  
  
  1. Agricultural operation characteristics: includes information on farm type, operating arrangements, paid agricultural work and financial characteristics of the agricultural operation.  
  
  2. Land tenure and management practices: includes information on land use, land tenure, agricultural practices, land inputs, technologies used on the operation and the renewable energy production on the operation.  
  
  3. Crops: includes information on hay and field crops, vegetables (excluding greenhouse vegetables), fruits, berries, nuts, greenhouse productions and other crops.  
  
  4. Livestock, poultry and bees: includes information on livestock, poultry and bees.  
  
  5. Characteristics of farm operators: includes information on age, sex and the hours of works of farm operators.  
  
  Note: For all the datasets, confidential values have been assigned a value of -1.  
  
  Correction notice: On January 18, 2023, selected estimates have been corrected for selected variables in the following 2021 Census of Agriculture domains: Direct sales of agricultural products to consumers (Agricultural operations category), Succession plan for the agricultural operation (Agricultural operators category), and Renewable energy production (Use, tenure and practices category).

Organization: Statistics Canada | Statistique Canada
Utilization of milk production

This table contains 120 series, with data for years 1920 - 1977 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (10 items: Canada;Prince Edward Island;Nova Scotia;New Brunswick; ...); Type of utilization (12 items: Total milk production;Farm butter;Farm cheese;Creamery butter; ...).

Organization: Statistics Canada | Statistique Canada
Opioid-related harms and mental disorders in Canada:  A descriptive analysis of hospitalization data

There is evidence to suggest that many people experiencing opioid-related harms also experience other mental disorders. Gaining a better understanding of the mental health profile of individuals who experience opioid-related harms has been identified as a priority to inform evidence-based policies and interventions, yet there are limited national data on this topic.

Organization: Health Canada | Santé Canada
Participation in outdoor activities in the past 12 months by age group, sex, current employment status, and perceived health, Canada, provinces and regions

<p>This table contains 730080 series, with data for years 2016 - 2016 (not all combinations necessarily have data for all years).     This table contains data described by the following dimensions (Not all combinations are available):  Geography (13 items: Canada; Atlantic provinces; Newfoundland and Labrador; Prince Edward Island; ...);&nbsp; Age group (10 items: Total, 15 years and over; 15 to 24 years; 25 to 54 years; 25 to 34 years; ...);&nbsp; Sex (3 items: Both sexes; Males; Females);&nbsp; Current employment status (4 items: Total, current employment status; Current paid employee; Current self-employed; Currently not working);&nbsp; Perceived health (9 items: Total, perceived health; Excellent or very good; Excellent; Very good; ...);&nbsp; Outdoor activities (13 items: Fishing; Hunting or trapping; Foraging for food such as berries or mushrooms; Snowmobiling, ATV or other off-road vehicle use; ...);&nbsp; Estimates (4 items: Number of persons; Percentage of persons; Low 95% confidence interval, percent; High 95% confidence interval, percent).<br></p>

Organization: Statistics Canada | Statistique Canada
Estimated value of shipments, orders and inventories, by Standard Industrial Classification, 1970 (SIC), Canada

This table contains 1786 series, with data for years 1970 - 1984 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Principal statistics (9 items: Total shipments; New orders; Unfilled orders; Total inventory held; ...); Standard Industrial Classification, 1970 (SIC) (225 items: Food and beverage industries; Meat and poultry products industries; Slaughtering and meat processors; Poultry processors; ...).

Organization: Statistics Canada | Statistique Canada
Manufacturing shipments, by province and Standard Industrial Classification, 1970 (SIC)

This table contains 211 series, with data for years 1970 - 1984 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (10 items: Newfoundland and Labrador; Prince Edward Island; Nova Scotia; New Brunswick; ...); Standard Industrial Classification, 1970 (SIC) (22 items: All manufacturing industries; Food and beverage industries; Tobacco products industry; Rubber and plastics products industries; ...).

Organization: Statistics Canada | Statistique Canada
Ratios of finished goods and total inventory owned to shipments in non-durable and durable goods industries

This table contains 42 series, with data for years 1970 - 1984 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (12 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...); Principal statistics (3 items: Shipments; Ratio of finished goods to shipments; Ratio of total inventory owned to shipments); Type of industry (3 items: All manufacturing industries; Non-durable industries; Durable industries).

Organization: Statistics Canada | Statistique Canada
Ratios of finished goods and total inventory owned to shipments, by Standard Industrial Classification, 1970 (SIC)

This table contains 40 series, with data for years 1970 - 1984 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Principal statistics (2 items: Ratio of finished goods to shipments; Ratio of total inventory owned to shipments); Standard Industrial Classification, 1970 (SIC) (20 items: Food and beverage industries; Tobacco products industry; Rubber and plastics products industries; Leather industries; ...).

Organization: Statistics Canada | Statistique Canada
Estimated value of shipments, orders and inventories in non-durable and durable goods industries, by Standard Industrial Classification, 1970 (SIC)

This table contains 189 series, with data for years 1970 - 1984 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Principal statistics (9 items: Total shipments; New orders; Unfilled orders; Total inventory held; ...); Standard Industrial Classification, 1970 (23 items: All manufacturing industries; Non-durable goods industries; Food and beverage industries; Tobacco products industry; ...).

Organization: Statistics Canada | Statistique Canada
Principal statistics of mineral industries, by North American Industry Classification System (NAICS)

This table contains 352 series, with data for years 1994 - 2008 (not all combinations necessarily have data for all years), and was last released on 2011-09-28. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...) North American Industry Classification System (NAICS) (32 items: Mining (except oil and gas); Coal mining; Coal mining; Metal ore mining ...) Components (11 items: Total establishments; Production workers' hours paid; Production workers' wages; Production workers ...).

Organization: Statistics Canada | Statistique Canada
Sales finance companies: quarterly statement of estimated assets and liabilities

This table contains 20 series, with data for years 1974 - 1998 (not all combinations necessarily have data for all years), and was last released on 2008-10-08. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Assets and liabilities (20 items: Total; major assets; Total business credit; Business credit; retail financing of industrial and commercial goods; Cash and deposits ...).

Organization: Statistics Canada | Statistique Canada
United States government receipts and expenditures, seasonally adjusted at annual rates

<p>This table contains&nbsp;63 series, with data for years&nbsp;1947 - 2009&nbsp;(not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography&nbsp;(1 item:&nbsp;United States); Components&nbsp;(63 items:&nbsp;Total federal government current receipts;&nbsp;Federal personal current taxes;&nbsp;Federal government income tax receipts;&nbsp;Federal government estate and gift taxes receipts;&nbsp;...).<br></p>

Organization: Statistics Canada | Statistique Canada
Trust companies, statements of estimated retained earnings

This table contains 15 series, with data for years 1970 - 1990 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Retained earnings (15 items: Closing retained earnings;Opening balance;Deduct, prior period adjustments;Income taxes; ...).

Organization: Statistics Canada | Statistique Canada
Trust companies, statements of estimated mortgage and investment reserves and reserve funds

This table contains 8 series, with data for years 1970 - 1990 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Mortgage and investment reserves and reserve fund (8 items: Balance at end of quarter;Opening balance;Add, provisions charged to current expenses;Add, transfers from retained earnings; ...).

Organization: Statistics Canada | Statistique Canada