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We have found 164 datasets for the keyword "croissance". You can continue exploring the search results in the list below.
Datasets: 103,468
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164 Datasets, Page 1 of 17
Growing Degree Days
Growing degree days (GDDs) are used to estimate the growth and development of plants and insects during the growing season. Growing Degree Day are computed by subtracting a base value temperature from the mean daily temperature and are assigned a value of zero if negative. Base temperatures are a point below which development does not occur for the organism in question. Growing Degree Day products are created for base 0, 5, 10 and 15 degrees Celsius.GDD values are only accumulated during the Growing Season, April 1 through October 31.
Crop (corn) heat units
Crop Heat Units (CHU) are calculated on a daily basis, using the maximum and minimum temperatures in order to account for a crop’s negative response to higher temperatures.The formula used to calculate the CHU value for a day is: (1.8 × (Minimum Temperature − 4.4) + 3.33 × (Maximum Temperature − 10) − 0.084 × (Maximum Temperature − 10)²) ÷ 2.0CHU values are only accumulated during the Growing Season, April 1 through October 31.
Growth and Yield Samples - Active Status
**NOTE** This layer is being replaced with the new authoritative source for PSP location: [Growth and Yield Plots - Active Status](https://catalogue.data.gov.bc.ca/dataset/5da8d02e-cdd8-40f8-b77e-d359f0e67dcd) Growth and Yield dataset is a provincial data set that comprised of Permanent Sample Plots (PSP). The Ministries and resource developers will want the active sample locations to determine where there are recognized feature conflicts with any resource development
Heat Wave
Heat Wave represents the consecutive number of days (April 1 – October 31) where the maximum daily temperature is greater than 25 or 30 degrees respectively. Heat wave products are only generated during the Growing Season, April 1 through October 31.
Growth and Yield Plots - Active Status
This layer is the authoritative source for locating Active Status Growth and Yield plots also known as Permanent Sample Plots (PSPs). These plots are protected and require an additional minimum windfirm buffer of 50m radius in the interior and 100m radius on the coast. These are generally 16m radius fixed area. Therefore, protected areas need to be a minimum of 66m radius around the plot centre in the interior and 116m radius on the coast. Best practices are to locate the plot centre on the ground. Coordinate accuracy varies. Please contact Anya Reid (Anya.Reid@gov.bc.ca) with questions or updated coordinates for plots. NOTE: Accuracy of the coordinates are variable. Coordinates for plots with a more recent (since 2000) last measurement are generally quite accurate (3m). However, plots measured in the 1990's have a wide range of coordinate accuracy. In all cases, it is necessary to ground truth plot location before block layout. In this spatial layer, low accuracy coordinates are buffered 300m to ensure they do not get missed from development planning. This layer replaces the [Growth and Yield Samples – Active Status](https://catalogue.data.gov.bc.ca/dataset/0ca49478-5d0f-44e8-b6af-3fd6e387803c) layer with more accurate and current information from the Inventory Sample Management Consolidation (ISMC) database.
Accumulated Precipitation (mm)
Accumulated Precipitation represents the amount of total precipitation in mm (solid and/or liquid) which has been recorded over a given period of time. Products are produced for the following timeframes: Agricultural Year, Growing Season, Winter Season, as well as rolling products for 7, 14, 30, 60, 90, 180, 270, 365, 730, 1095, 1460 and 1825 days.
Dry Spell
Dry spell periods are defined as the number of days (April 1 – October 31) where daily precipitation is less than 0.5 mm. This is not an accumulation of precipitation, simply a count of days. Dry spell products are only generated during the Growing Season, April 1 through October 31.
Growth and Yield Samples - All Status
**NOTE** This dataset is going to be replaced by the Data Catalogue layer: [Forest Inventory Ground Plots - Public Access](https://catalogue.data.gov.bc.ca/dataset/6d6d115f-4cc2-4141-909e-3344b3a72bcf) This new layer links to the updated database for all Forest Analysis and Inventory Branch ground sample plots. Growth and Yield dataset is a provincial data set that comprised of Permanent Sample Plots (PSP). Researchers such as GY modellers and those wanting to know the position of all samples will use the all status view to better understand the spatial distribution of historic measurement data including samples that are currently destroyed or inactive
230 m agricultural mask from the Crop Condition Assessment Program (CCAP) - 2015
The following dataset correspond to the 230 m agricultural mask from Statistics Canada’s Crop Condition Assessment Program (CCAP). The mask have been generated from the classes 110 to 199 of the 2015 Agriculture and Agri-Food Canada’s landcover classification. The selection was then generalized to a spatial resolution of 230 m. The 2015 mask was used from the 2015 to the 2018 growing seasons inclusively.
Alaska
Fisheries and Oceans Canada (DFO) has been conducting surface water trawl surveys since 1992 in the coastal waters of British Columbia, Washington, Oregon and Alaska and in the high seas of the Gulf of Alaska. Data collected in shelf and slope waters of Alaska to depths less than 400 meters are part of this larger survey series, but are limited to 1995-2011. These surveys focused on determining the migratory patterns (1992-2002) and on the growth and physiology (2003-2011) of juvenile Pacific Salmon. The surveys had funding support from the Bonneville Power Administration as part of the 1995-2011 Canada-USA Salmon Shelf Survival Study. The intent of that study was to monitor and evaluate the effects of ocean conditions on the distribution, migration, growth, and survival of Pacific salmon during their first ocean year, and estimate the subsequent impacts on abundance of Chinook salmon adults returning to the Columbia River system.
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