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We have found 349 datasets for the keyword " ltsa". You can continue exploring the search results in the list below.
Datasets: 103,401
Contributors: 42
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349 Datasets, Page 1 of 35
Solar Resource, NSRDB PSM Direct Normal Irradiance (DNI) - North American Cooperation on Energy Information
Average of the hourly Direct Normal Irradiance (DNI) over 17 years (1998-2014). Data extracted from the National Solar Radiation Database (NSRDB) developed using the Physical Solar Model (PSM) by National Renewable Energy Laboratory ("NREL"), Alliance for Sustainable Energy, LLC, U.S. Department of Energy ("DOE").The current version of the National Solar Radiation Database (NSRDB) (v2.0.1) was developed using the Physical Solar Model (PSM), and offers users the solar resource datasets from 1998 to 2014). The NSRDB comprises 30-minute solar and meteorological data for approximately 2 million 0.038-degree latitude by 0.038-degree longitude surface pixels (nominally 4 km2). The area covered is bordered by longitudes 25° W on the east and 175° W on the west, and by latitudes -20° S on the south and 60° N on the north. The solar radiation values represent the resource available to solar energy systems. The AVHRR Pathfinder Atmospheres-Extended (PATMOS-x) model uses half-hourly radiance images in visible and infrared channels from the GOES series of geostationary weather satellites, a climatological albedo database and mixing ratio, temperature and pressure profiles from Modern Era-Retrospective Analysis (MERRA) to generate cloud masking and cloud properties. Cloud properties generated using PATMOS-x are used in fast radiative transfer models along with aerosol optical depth (AOD) and precipitable water vapor (PWV) from ancillary sources to estimate Direct Normal Irradiance (DNI) and Global Horizontal Irradiance (GHI). A daily AOD is retrieved by combining information from the MODIS and MISR satellites and ground-based AERONET stations. Water vapor and other inputs are obtained from MERRA. For clear sky scenes the direct normal irradiance (DNI) and GHI are computed using the REST2 radiative transfer model. For cloud scenes identified by the cloud mask, Fast All-sky Radiation Model for Solar applications (FARMS) is used to compute the GHI. The DNI for cloud scenes is then computed using the DISC model. The data in this layer is an average of the hourly GHI over 17 years (1998-2014). NOTE: The Geographical Information System (GIS) data and maps for solar resources for Global Horizontal Irradiance (GHI) and Direct Normal Irradiance (DNI) were developed by the U.S. National Renewable Energy Laboratory (NREL) and provided for Canada as an estimate. At present, neither the NREL data, nor the Physical Solar Model (PSM) on which the NREL data is based, have been either assessed or validated for the particular Canadian weather applications. A Canadian GHI map developed by the department of Natural Resources Canada (NRCan) is based on the State University of New York (SUNY) model and has been assessed and validated for the particular Canadian weather applications. The Canadian GHI map is available at http://atlas.gc.ca/cerp-rpep/en/.
Maritimes Fall Research Vessel Survey
"Fall" missions occur primarily in October and November, but sets from September and December are also present in the data. Collected data includes total catch in numbers and weights by species. Length frequency data is available for most species, as are the age, sex, maturity and weight information for a subset of the individual animals. Other data such as ageing material, genetic material, and stomach contents are often also collected, but are stored elsewhere."Fall" cruises occur in September, October, November and December.Cite this data as: Clark, D., Emberley, J. Data of Maritimes Fall Research Vessel Survey. Published January 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/5f82b379-c1e5-4a02-b825-f34fc645a529
GHA Hunting Season Table
The purpose of this dataset is to give an accurate representation of the game hunting boundaries in Manitoba.The purpose of this dataset is to give an accurate representation of the game hunting boundaries in Manitoba.Game Hunting Areas (GHAs) are defined under the Hunting Areas and Zones Regulation (220/86) of The Wildlife Act (CCSM c. W130). Game Hunting Areas are used to support boundaries for species-specific hunting seasons, harvest allocations, bag limits and associated regulations. Refer to the Hunting Areas and Zones Regulation for GHA boundary descriptions.Fields included (Alias (Field Name): Field description)OBJECTID (OBJECTID): sequential unique whole numbers that are automatically generated GHA (GHA): the number assigned to each Game Hunting Area Shape_Length (Shape_Length): the length of the feature in internal units Shape_Area (Shape_Area): area of the feature in internal units squared
ParcelMap BC Parcel Fabric
ParcelMap BC is the current, complete and trusted mapped representation of titled and Crown land parcels across British Columbia, considered to be the point of truth for the graphical representation of property boundaries. It is not the authoritative source for the legal property boundary or related records attributes; this will always be the plan of survey or the related registry information. This particular dataset is a subset of the complete ParcelMap BC data and is comprised of the parcel fabric and attributes for over two million parcels published under the Open Government Licence - British Columbia. Notes: 1. Parcel title information is sourced from the BC Land Title Register. Title questions should be directed to a local [Land Title Office](https://ltsa.ca/land-title-office-locations). 2. This dataset replaces the [Integrated Cadastral Fabric](https://catalogue.data.gov.bc.ca/dataset/7eb82072-8c74-4fce-9934-349b545fdc21).
ParcelMap BC Parcel Polygons
ParcelMap BC is the current, complete and trusted mapped representation of titled and Crown land parcels across British Columbia, considered to be the point of truth for the graphical representation of property boundaries. It is not the authoritative source for the legal property boundary or related records attributes; this will always be the plan of survey or the related registry information. This particular dataset is a subset of the complete ParcelMap BC data and is comprised of the parcel polygons and attributes for over two million parcels published under the Open Government Licence - British Columbia. This dataset does __NOT__ include parcel representations (i.e. distinct polygons with unique PID identifiers) for [Building Strata Parcels](https://help.ltsa.ca/parcelmap-bc/building-strata-parcels) - Building Strata parcels are represented by a single polygon uniquely identified by the Strata Plan Number (i.e. individual strata lot PIDs are not included). For a dataset which includes unique polygon features (stacked geometries) for each Building Strata parcel, please use the [ParcelMap BC Parcel Fabric](https://catalogue.data.gov.bc.ca/dataset/4cf233c2-f020-4f7a-9b87-1923252fbc24) or [ParcelMap BC Parcel Fabric - Fully Attributed](https://catalogue.data.gov.bc.ca/dataset/219eebea-b19b-47bd-938f-47d53002a3f4) dataset _or refer to the [ParcelMap BC Shared Geometry Cross Reference Table](https://catalogue.data.gov.bc.ca/dataset/b918901e-9fd3-4f01-803d-eaeca027b794), which includes the strata lot (PID) to strata plan relationship._ Notes: 1. Parcel title information is sourced from the BC Land Title Register. Title questions should be directed to a local [Land Title Office](https://ltsa.ca/land-title-office-locations). 2. The ParcelMap BC Parcel Fabric is expected to eventually replace the [Integrated Cadastral Fabric](https://catalogue.data.gov.bc.ca/dataset/7eb82072-8c74-4fce-9934-349b545fdc21).
Real-time bus timetables and positioning (GTFS) - Dataset
All files and resources that allow you to connect to planned and real-time data from the Société de transport de Trois-Rivières.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Supply Guarantee Region (RGA)
A territorial unit applicable on the forest territory of the State that can include one to several management units (UA), only RGA 05 and 14 include an AU. In an RGA, the Ministry of Natural Resources and Forests (MRNF) allocates “Supply Guarantee” (GA) wood volumes to beneficiaries.The Sustainable Forest Development Act (LADTF) provides that the supply guarantee (GA) gives its beneficiary the right to annually buy a volume of wood from public forest territories of one or more RGAs, in order to supply the wood processing plant for which this guarantee is granted. The guarantee indicates the annual volumes of wood, by species or group of species, that can be purchased annually by the beneficiary, from each of the regions covered by the guarantee.This data comes from the MRNF STF system, which is the __official source__ of this geographic information.For more information on the list of beneficiaries with their volume assignments by RGA, please consult the [tables by region.] (https://diffusion.mern.gouv.qc.ca/public/DGAB/Registre_public/02_Repertoire_beneficiaires/)**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
RTC: GTFS /stops and routes
The RTC makes its data on stops, schedules and routes (“Public Information”) available in two standardized formats:* General Transit Feed Specification (GTFS) for schedule and route data* The shapefile for geospatial data on stops and routesOfficial page: https://www.rtcquebec.ca/donnees-ouvertes**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
STAC-Item - YT Ross River Aerodrome 2019 1m - Mosaic of High Resolution Digital Elevation Model (HRDEM) by LiDAR acquisition project
High-Resolution Digital Elevation Model (HRDEM) generated from LiDAR. This data collection includes a Digital Terrain Model (DTM) and a Digital Surface Model (DSM). The HRDEM product is referenced to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013). Source data for HRDEM datasets is acquired through multiple projects with different partners. Since data is being acquired by project, there is no integration or edgematching done between projects. The data in this collection have been reprojected from the source reference system to the Canada Atlas Lambert projection (EPSG:3979). **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**
STAC-Item - SK SCDA Arm River 2020 1m - Mosaic of High Resolution Digital Elevation Model (HRDEM) by LiDAR acquisition project
High-Resolution Digital Elevation Model (HRDEM) generated from LiDAR. This data collection includes a Digital Terrain Model (DTM) and a Digital Surface Model (DSM). The HRDEM product is referenced to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013). Source data for HRDEM datasets is acquired through multiple projects with different partners. Since data is being acquired by project, there is no integration or edgematching done between projects. The data in this collection have been reprojected from the source reference system to the Canada Atlas Lambert projection (EPSG:3979). **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**
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