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We have found 294 datasets for the keyword " par kg". You can continue exploring the search results in the list below.
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294 Datasets, Page 1 of 30
Steller Sea Lion Haulout Counts in British Columbia
The Steller sea lion (Eumetopias jubatus) is the largest species of sea lion with males weighing as much as 1,100 kg and females as much as 350 kg. In Canada, the Steller can be spotted along the rocky coast of British Columbia (BC). These highly mobile marine mammals typically travel alone or in small groups, but they congregate in large numbers at traditional rookeries and haul-outs during the mating and pupping season. Females generally live longer (up to 30 years) than males (usually up to 20 years). The population was severely depleted in Canada but following its protection in 1970, the size of the adult population has more than doubled.Trends in the abundance of Steller sea lions in BC have been assessed based on a series of standardized, province-wide aerial surveys conducted during the breeding season (27-June to 06-July) between 1971 and 2021. Additional ad-hoc surveys during the fall, winter, and spring periods were completed to assess sea lion distribution outside of the breeding season. Surveys targeted historically occupied rookeries and haul-out sites with nearby areas also monitored for potential shifts in distribution.Both datasets contain counts that have been collected from sightings of individuals from 1971 through 2021. The updated standard breeding season survey counts data file consolidates and extends two previous datasets – one covering 1971 through 2013 and the other covering the summer portion of the 2016/2017 surveys. The non-breeding season count data was previously limited to the fall-winter portion of the 2016/2017 surveys and the updated data covers the entire study period to date.
Harbor seal breeding and feeding areas in the Saguenay Fjord, the Estuary and Gulf of St. Lawrence
Layer that includes the known information on harbor seal breeding and feeding areas in the Saguenay Fjord, the Estuary and Gulf of St. Lawrence according to a literature review of documents produced between 1968 and 2001.Additional InformationHarbor seal breeding and feeding areas were produced according to a literature review of the following documents: Andersen, A. et M. Gagnon. 1980. Les ressources halieutiques de l'estuaire du Saint-Laurent. Rapp. can. ind. sci. halieut. aquat., 119: iv + 56 p.Communications personnelles par Fournier, C. 1999.Communications personnelles par Gosselin, J-F-. 1996.Communications personnelles par Gosselin. J.-F. 2001.Communications personnelles par Lavigueur, L. 1996.Dignard, N., R. Lalumière, A. Reed et M. Julien. 1991. Les habitats côtiers du nord-est de la Baie James. Publication hors-série no. 70. Environnement Canada, Service canadien de la faune. 30 p. + carte.Enquête auprès des pêcheurs et agents du MEF et du MPO. 1995.Mansfield, A. W. 1968. Seals and walruses. In: Beals, C.S., ed. Science, History and Hudson Bay. Vol. 1. Ottawa: Queen’s Printer. 501 p.
Manitoba Condemnation Rates
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.
Folds - 250k
The Yukon Territory is underlain by a great variety of rock types ranging in age from Early Proterozoic to Recent and representing diverse environments including epicratonic basins, subsiding shelves, foreland basins, island arcs and deep ocean basins. Episodes of compressional and extensional deformation, transcurrent faulting, metamorphism and plutonism further complicate the map pattern. This complex geological record has been described in terms of the interactions of several terranes (large parts of the earth's crust which preserve a common geological record) with each other and with the margin of ancestral North America.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)
Water Obstacles Poly - 50k - Canvec
Hydro Features is composed of the network of Canadian surface waters. Hydro Features entities are: Watercourse, Water Linear Flow, Hydro Obstacle (falls, rapids\...), Waterbody (lake, watercourse\...), Permanent Snow and Ice, Water Well, and Spring. CanVec is a digital cartographic reference product of Natural Resources Canada (NRCan). It originates from the best available data sources covering Canadian territory, offers quality topographical information in vector format, and complies with international geomatics standards. CanVec is a multi-source product coming mainly from the National Topographic Data Base (NTDB), the Mapping the North process conducted by the Canada Center for Mapping and Earth Observation (CCMEO), the Atlas of Canada data, the GeoBase initiative, and the data update using satellite imagery coverage (e.g. Landsat 7, Spot, Radarsat, etc.).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)
Water Obstacles Poly - 250k - Canvec
Hydro Features is composed of the network of Canadian surface waters. Hydro Features entities are: Watercourse, Water Linear Flow, Hydro Obstacle (falls, rapids\...), Waterbody (lake, watercourse\...), Permanent Snow and Ice, Water Well, and Spring. CanVec is a digital cartographic reference product of Natural Resources Canada (NRCan). It originates from the best available data sources covering Canadian territory, offers quality topographical information in vector format, and complies with international geomatics standards. CanVec is a multi-source product coming mainly from the National Topographic Data Base (NTDB), the Mapping the North process conducted by the Canada Center for Mapping and Earth Observation (CCMEO), the Atlas of Canada data, the GeoBase initiative, and the data update using satellite imagery coverage (e.g. Landsat 7, Spot, Radarsat, etc.).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)
Lumpfish potential spawning site in the Gulf of St. Lawrence
Identification of a potential spawning site for lumpfish during an ichtyofauna inventory conducted in the eelgrass in Sept-Îles bay by Calderón (1996).Purpose:The 1996 document by par Isabel Calderón has been achieved by the "Corporation de protection de l'environnement de Sept-Îles" with the support of Department of Fisheries and Oceans (DFO) as part of the "Biodiversity" program, St. Lawrence Vision 2000 (Canada).Source:Calderón, I. 1996. Caractérisation des habitats du poisson de la baie de Sept-Îles - Phase II. Corporation de protection de l'environnement de Sept-Îles. 37 pages.
Sites and buildings protected under the Cultural Heritage Act
This data set contains geographic and descriptive information on buildings and sites subject to the Cultural Heritage Act and located on the territory of the City of Montreal. The proposed polygonal boundaries complement the specific information already provided by the Ministry of Culture and Communications:- [Heritage buildings cited by municipalities] (https://www.donneesquebec.ca/recherche/fr/dataset/immeubles-patrimoniaux-cites-par-les-municipalites-et-les-communautes-autochtones)- [Heritage buildings classified by the Minister of Culture and Communications] (https://www.donneesquebec.ca/recherche/fr/dataset/immeubles-patrimoniaux-classes-par-la-ministre-de-la-culture-et-des-communications)- [Heritage sites cited by municipalities] (https://www.donneesquebec.ca/recherche/fr/dataset/sites-patrimoniaux-cites-par-les-municipalites-et-les-communautes-autochtones) - [National heritage site declared by the Cultural Heritage Act by the Government of Quebec] (https://www.donneesquebec.ca/recherche/fr/dataset/site-patrimonial-national-declare-par-la-loi-sur-le-patrimoine-culturel-par-le-gouvernement-du -)- [Heritage sites classified by the Minister of Culture and Communications] (https://www.donneesquebec.ca/recherche/fr/dataset/sites-patrimoniaux-classes-par-la-ministre-de-la-culture-et-des-communications)WARNING: Approximate demarcations were made from property lines or building right-of-way. The data is provided for information purposes only and, therefore, has no legal effect. Refer to the Cultural Heritage Register, maintained at the Ministry of Culture and Communications by the Registrar of Cultural Heritage, for legal information.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Manitoba Forest Management License Areas (FML) – Version 4
Manitoba's Forest Management Licence Area (FML) Boundaries – Version 4.The Forest Act provides for the establishment of Forest Management Licences to provide a continuous supply of timber to the forest industry. A Forest Management Licence, granted for a period of not more than 20 years, may be renewed for further periods. The Forest Management Licence describes the land upon which trees may be cut, the volume of wood that may be harvested, and other terms and conditions. There are currently three Forest Management Licences in Manitoba. Timber management and forest renewal are the responsibilities of Manitoba Conservation on Crown Forest Land outside of Forest Management Licence areas, and within Forest Management Licence areas where the wood is used by a facility other than that operated by the Forest Management Licensee. Version 4 of Manitoba's Forest Management Licence (FML) boundaries incorporates minor edits made to the BDY_MB_FMU_PY feature class, ensuring coincident line work with the provincial boundary and provincial forests. Version 3 of Manitoba's Forest Management Licence (FML) boundaries includes FML-2 and FML-3. Previous boundaries associated with FML-1 and IWSAs have been removed. To update and improve the positional accuracy of Manitoba's Forest Management Licence (FML) boundaries, written descriptions of FML areas were referenced along with line work from Forest Land Inventories (FLI), Forest Resource Inventories (FRI) and Manitoba's township fabric to improve p rovincial FML boundaries. Boundary line work for all of the following feature classes were topologically checked for coincident line work: 1. BDY_MB_FMU_PY (Provincial FMUs); 2. Provincial Boundary; 3. BDY_MB_FML_PY (Provincial Forest Management Licence Areas); 4. BDY_MB_FOREST_SECTION_PY (Provincial Forest Sections); 5. BDY_MB_PROV_FOREST_PY (Provincial Forests) The dataset includes the following fields /Les ensembles de données comprennent les champs suivants Name / Nom Alias Description FML FML Forest Management Licence Area number Numéro de zone de gestion forestière visée par une licence FML_NAME FML Name / Nom Forest Management Licence Area name Nom de zone de gestion forestière visée par une licence AREA_HA Area / Surface (Hectares) Area in hectares La surface en hectares Limites des zones de gestion forestière du Manitoba visées par une licence – Version 4
Average Relative Density of Fish Functional Groups and Species in the Newfoundland and Labrador Shelves Bioregion, 1981-2017
The Science Branch of Fisheries and Oceans Canada (DFO) in the Newfoundland and Labrador (NL) region has been conducting multispecies research vessel (RV) surveys using a stratified random survey design since the early 1970s. The DFO RV survey dataset represents the longest time series of species data in the NL region, making it ideal for mapping the average relative densities of species over time. Average relative density maps depict the interpolated densities (calculated from kg/tow) of fish species or functional groups. These densities are averaged over each time series (Engel and Campelen) and include data from all available seasons, so they represent persistent areas of relatively high and low densities for that species or functional group for the duration of the time series, independent of season. These maps are well suited as decision support tools related to conservation areas and marine spatial planning. These maps can also inform other processes that require information on areas important to marine fish, such as environmental assessments. Spring, fall, and winter data from the DFO RV survey between 1981 and 2017, inclusive, were used for the analysis. Due to a gear change from an Engel 145 Hi-Lift Otter Trawl to a Campelen 1800 Shrimp Trawl in 1995, the time series is treated as two separate datasets. NAFO Divisions 2J3KLNOP were sampled during the Engel time series and Division 2H was added for the Campelen time series. The data were filtered prior to use so that only core strata (areas consistently sampled across years) were included, resulting in most deep water and inshore sets being excluded in this analysis. Weight per tow (kg/tow; standardized for tow length for each gear type) data for fish, shrimp, and crab species were extracted from the database, and all successful sets from regular multispecies surveys were used for analyses. Eight fish functional groups (groups of species of similar size and diet) were identified based on the RV survey dataset: small benthivores, medium benthivores, large benthivores, piscivores, plank-piscivores, planktivores, shrimp, and forage fish. Data for each functional group were mapped three ways: all species, dominant species (i.e. top 90% biomass), and non-dominant species. In total, 40 dominant species and/or at-risk species (i.e. COSEWIC endangered, threatened, special concern; SARA; DFO/NAFO depleted) were mapped individually. To identify the average relative density, independent of seasonality, the spring, fall, and winter survey sets were compiled into a composite dataset using a log transformation on the biomass (kg/tow). For functional groups, these values were then standardized across each group. Absences (0 kg/tow catch values) were included. A continuous raster with a 4x4km resolution was generated through ordinary kriging. The raster was clipped to an 8-km buffer of the RV survey extent and the zero values were then removed. The results of this process are maps depicting the average relative density of fish functional groups and selected individual species during both the Engel (1981-1995) and Campelen (1995-2017) time series. Note that the original units (e.g. kg/tow) are no longer relevant due to data processing. Cell values are not comparable between groups or species; when mapping, all numeric values should be removed from the labels and legend, with relative qualifiers (“high” and “low”) used instead. More detailed information can be found in Wells et al. (2021). References: Wells, N.J., Pretty, C., Warren, M., Novaczek, E. and Koen-Alonso, M. 2021. Average Relative Density of Fish Species and Functional Groups in the Newfoundland and Labrador Shelves Bioregion from 1981-2017. Can. Tech. Rep. Fish. Aquat. Sci. 3427: viii + 76 p.
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