A compendium of reports that provide information about aquatic and terrestrial animals and plants, soils, surface water, groundwater and their accompanying data files and maps

This table contains data on whole and partial condemnation and slaughtering from 2015 to 2022.This table contains data on whole and partial condemnation and slaughtering from 2015 to 2022. The data is also classified by its Slaughter Class: Cattle, Swine, Chiken,  Spent layer hens, Ducks, Geese, Rabbits, Spent Breeder hens, 5 kg and under, Bison, Elk, Goats, Horses, Lambs, Llama/Alpaca, Mature turkey, over 11 kg, over 5 but no more than 7 kg, over 7 but no more than 9 kg, over 9 but no more than 11 kg, Sheep, and Wild boars.Field Names (Field Alias): Field description.SlaughterFigureID (SlaughterFigureID): unique indexed number assigned to each record in the database. BodyPart (BodyPart): code for the different body parts affected in partial condemnations. CondemnationReasonCode (CondemnationReasonCode): code for all the different reasons for condemnation. CondemnationType (CondemnationType): This identifies whether the condemnations are either Whole or Partial. SlaughterYear (SlaughterYear): Year when the slaughter occurred. NumberSlaughtered (NumberSlaughtered): Total number of animals slaughtered during the indicated period of time. NumberCondemned (NumberCondemned): Total number of animals condemned (whole) or total  number of parts of animals condemned (partial) during the indicated period of time. SlaughterClass (SlaughterClass): Species or class of the animal or part of the animal condemned. Quarter (Quarter): Number of the quarter.                   - January to March – 1                     - April to June – 2                     - July to September – 3                     - October to December - 4 QuarterYear (Quarter/Year): Corresponding quarter and year.

Get the locations of dairy plants registered by the Ontario Ministry of Agriculture, Food and Agribusiness.  The intended use of this data is to assist the public and ministry staff to locate licenced dairy plants.

This product provides the median of monthly maximum turbidity values (in nephelometric turbidity units) for drinking water facilities by drainage region. Turbidity refers to the relative cloudiness of water, caused by suspended particles in water. The Survey of Drinking Water Plants collected this monthly maximum turbidity data for surface water sources from facilities reporting turbidity data for at least 10 months in 2013. These facilities served 24 million people and produced 4,091 million cubic metres of potable water from surface water sources in 2013. Source water turbidity was monitored continuously at 42% of these drinking water plants in 2013, daily at 34% of plants and less frequently at the remaining plants.

This dataset contains the total annual releases of radionuclides released directly to the environment through stack emissions of the nuclear power plants in Canada.This original radionuclide releases dataset of the nuclear power plants provides results for both stack emissions and direct discharge (i.e. releases to water). The dataset has been divided in two subsets for better discoverability. In this record as its title indicates, you will find the stack emissions results mapped. Make sure to look at the nuclear power plants direct discharge record in order to obtain a complete picture.

This dataset contains the total annual releases of radionuclides released directly to the environment through direct discharge (i.e. releases to water) of the nuclear power plants in Canada.This original radionuclide releases dataset of the nuclear power plants provides results for both stack emissions and direct discharge. The dataset has been divided in two subsets for better discoverability. In this record as its title indicates, you will find the direct discharge results mapped. Make sure to look at the nuclear power plants stack emissions record in order to obtain a complete picture.

This data identifies all provincially licensed abattoirs, abattoirs that conduct further processing, freestanding meat plants, and plants that specialize in the slaughter of the following animals across the province of Ontario: * alpaca, llama * beef * buffalo, yak * deer, elk * emus, ostrich, rhea * goats, lamb, sheep * pigs * veal, light calves * chicken, fowl * ducks, geese * fancy poultry * rabbits * turkey A map showing all provincially licensed meat plants in Ontario is also [available](https://experience.arcgis.com/experience/eb4cf68117cd4cada4d1ef78b6560fac). For more information on meat inspection in Ontario, please visit the Ministry of Agriculture, Food and Rural Affair’s [website](http://www.omafra.gov.on.ca/english/food/inspection/meatinsp/m-i-p-r/meatinspecprogram.htm). Each dataset contains the following data: * plant name * plant number * contact information * latitude and longitude coordinates * animal class

Get a list of provincially licensed operators that collect, transport, process and dispose of deadstock (dead farm animals) in Ontario. This dataset includes facility type, name, location/region and contact information of licensed deadstock operators in Ontario. The Ministry of Agriculture, Food and Agribusiness and the Ministry of the Environment, Conservation and Parks, in consultation with stakeholders, have developed regulations for the disposal of deadstock (dead farm animals) in Ontario. The regulations provide more disposal options for livestock producers and meat plant operators, with measures to protect the environment.

Boundaries identifying similar behavioural ecotypes and sub-populations of Grizzly bears. This dataset contains versions from multiple years. From 2018 on, NatureServe conservation concern ranking categories (e.g., Very Low, Low, Moderate, High, Extreme Concern) supersede the pre-2018 population status categories (e.g., Viable, Threatened, Extirpated) contained in the field STATUS. NatureServe conservation concern ranking categories reflect population size and trend, genetic and demographic isolation, as well as threats to bears and their habitats. The NatureServe conservation concern ranking fields are named CONSERVATION_CONCERN_RANK and CONSERVATION_CONCERN_DESC. Please view the attached PDF file for a summary of changes to this dataset from 2012 onward. To download only the 2018 units, in the link below, select the "Export" tab, then select the "Provincial Layer Download" button: https://maps.gov.bc.ca/ess/hm/imap4m/?catalogLayers=7744,7745 Grizzly Bear Conservation Ranking results table is available here: https://catalogue.data.gov.bc.ca/dataset/e08876a1-3f9c-46bf-b69a-3d88de1da725 Grizzly Bear population estimates from various years are available here: https://catalogue.data.gov.bc.ca/dataset/2bf91935-9158-4f77-9c2c-4310480e6c29 Grizzly Bear reports are available here: https://www2.gov.bc.ca/gov/content/environment/plants-animals-ecosystems/wildlife/wildlife-conservation/grizzly-bear

Table containing information relevant to animal disease investigations in Manitoba from 2012 to present.This table contains information relevant to animal disease investigations in Manitoba from 2012 to present, conducted by the Chief Veterinary Office (CVO). Information includes year, number of sites, number of linked sites, animal species, disease types and results. Updated on a weekly basis.  It is important that users are aware of the following caveats when reviewing data presented in the Animal Disease Investigations Dashboard: 1. Each investigation can have one or more cases involved depending on the number of herds or animals exposed.  Not all disease investigations are handled the same due to a partnership approach.  Diseases can be detected via surveillance, ad hoc reporting, or through other programs. 2. Rabies is a separate program. Please see Manitoba's Provincial Rabies Management Program for data related to Rabies Surveillance.3. Certain zoonotic diseases, such as salmonella or influenza, are also captured in more detail through other means.  The total occurrence of a zoonotic disease represented in this dashboard reflects occurrences where risks or exposures were deemed significant enough to warrant further investigation.  4. Historically, One Health Investigations that were predominantly focused on Public Health issues rather than Animal Health concerns were not captured in this system and will be underrepresented here. Fields included ( Alias (Field Name): Field description.) Year (Year): Year of the disease investigation Number of Sites (Number_of_Sites): Number of investigation sites Number of Linked Sites (Number_of_Linked_Sites): Number of sites linked to investigation sites Species/Class (Species__Class): Group of animal species Disease Type (Disease_Type): The type of disease that is being investigated Result (Result): The outcome (positive/negative) for the corresponding animal disease investigation