AndreaBozzo/ceres-open-data-index huggingface dataset:
Projected Temperature change based on CMIP5 multi-model ensembles

Seasonal and annual multi-model ensembles of projected change (also known as anomalies) in mean temperature (°C) based on an ensemble of twenty-nine Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1901-2100. Projected change in mean temperature (°C) is with respect to the reference period of 1986-2005. The 5th, 25th, 50th, 75th and 95th percentiles of the ensembles of projected change in mean temperature change are available for the historical time period, 1901-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.  
  
                 Twenty-year average changes in mean temperature (°C) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats. The median projected change across the ensemble of CMIP5 climate models is provided.  
  
                 Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Drought Impact Type

The Drought Impact Label dataset is used on all drought polygons from D1 to D4 to specify the longitude and magnitude of impacts. Impact labels are often used in association with the Drought Impact Line dataset.  
  
  The impact labels are classified as follows:  
  
  S – Short-Term, typically less than 6 months.  
  
  L – Long-Term, typically more than 6 months.  
  
  SL – A combination of Short and Long-Term impacts.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Annual Crop Inventory 2013

In 2013, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery to for all of Canada, in support of a national crop inventory.  A Decision Tree (DT) based methodology was applied using optical (Landsat-8) and radar (RADARSAT-2) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by provincial crop insurance companies and point observations from the BC Ministry of Agriculture and our regional AAFC colleagues.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Weekly Best-Quality Maximum - NDVI Anomalies

Each pixel value corresponds to the difference (anomaly) between the mean “Best-Quality” Max-NDVI of the week specified (e.g. Week 18, 2000-2014) and the “Best-Quality” Max-NDVI of the same week in a specific year (e.g. Week 18, 2015). Max-NDVI anomalies < 0 indicate where weekly Max-NDVI is lower than normal. Anomalies > 0 indicate where weekly Max-NDVI is higher than normal. Anomalies close to 0 indicate where weekly Max-NDVI is similar to normal.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
2015 Land Cover of Canada

Land cover information is necessary for a large range of environmental applications related to climate impacts and adaption, emergency response, wildlife habitat, etc. In Canada, a 2008 user survey indicated that the most practical land cover data is provided in a nationwide 30 m spatial resolution format, with an update frequency of five years. In response to this need, the Canada Centre for Remote Sensing (CCRS) has generated a 30 m land cover map of Canada for the base year 2010, as well as this 2015 land cover map. This land cover dataset is also the Canadian contribution to the 30 m spatial resolution 2015 Land Cover Map of North America, which is produced by Mexican, American and Canadian government institutions under a collaboration called the North American Land Change Monitoring System (NALCMS). This land cover dataset for Canada is produced using observation from Operational Land Imager (OLI) Landsat sensor. An accuracy assessment based on 806 randomly distributed samples shows that land cover data produced with this new approach has achieved 79.90% accuracy with no marked spatial disparities.  
  
  - [Land Cover of Canada - Cartographic Product Collection](https://open.canada.ca/data/en/dataset/11990a35-912e-4002-b197-d57dd88836d7)

Organization: Natural Resources Canada | Ressources naturelles Canada
Annual Crop Inventory 2014

In 2014, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery to for all of Canada, in support of a national crop inventory.  A Decision Tree (DT) based methodology was applied using optical (Landsat-8) and radar (RADARSAT-2) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by provincial crop insurance companies and point observations from the BC Ministry of Agriculture and our regional AAFC colleagues.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Operational Hydrodynamic Prediction System (OHPS)

The Operational Hydrodynamic Prediction System (OHPS) is a 2D hydrodynamic prediction system for the St. Lawrence River and fluvial estuary. It helps to better understand flows impacting the St. Lawrence ecosystem and serves as a decision-making tool for the integrated management of the St-Lawrence. Three components are integrated in OHPS system. The first one "steadysol" conducts daily steady-state flow analyses, 4 times per day at 00Z, 06Z, 12Z and 18Z, respectively, over a simulation domain extending from Montreal to Trois-Rivières. The second and third components, i.e. "analysis" and "forecast", provide continuous analyses and 48-hrs forecasts, respectively, for unsteady flows over an extended St. Lawrence domain of which the upstream boundaries locate in Carillon and Beauharnois while the downstream tidal boundary is near Saint-Joseph-de-la-Rive, respectively, 4 times a day at 00Z, 06Z, 12Z and 18Z. The system provides high-resolution outcomes for various parameters such as water levels, depth-averaged velocities and derived attributes, over the simulated domains. The products are available in the NetCDF format, which provides datasets. The published datasets of "steadysol" is over an irregular triangulated mesh, while the datasets of "analysis" and "forecast" are over a Polar Stereographic grid.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Shellfish Water Classification Program – Marine Water Quality Data in Nova Scotia

This dataset provides marine bacteriological water quality data for bivalve shellfish harvest areas in Nova Scotia, Canada. Shellfish harvest area water temperature and salinity data are also provided as adjuncts to the interpretation of fecal coliform density data. The latter is the indicator of fecal matter contamination monitored annually by Environment and Climate Change Canada (ECCC) within the framework of the Canadian Shellfish Sanitation Program (CSSP). The geospatial positions of the sampling sites are also provided.   
  
  These data are collected by ECCC for the purpose of making recommendations on the classification of shellfish harvest area waters. ECCC recommendations are reviewed and adopted by Regional Interdepartmental Shellfish Committees prior to regulatory implementation by Fisheries and Oceans Canada (DFO).  
  
  This dataset is 'Deprecated'. Please use updated source here.  
  
  https://open.canada.ca/data/en/dataset/6417332a-7f37-49bd-8be9-ce0402deed2a

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Shellfish Water Classification Program – Marine Water Quality Data in New Brunswick

This dataset provides marine bacteriological water quality data for bivalve shellfish harvest areas in New Brunswick, Canada. Shellfish harvest area water temperature and salinity data are also provided as adjuncts to the interpretation of fecal coliform density data. The latter is the indicator of fecal matter contamination monitored annually by Environment and Climate Change Canada (ECCC) within the framework of the Canadian Shellfish Sanitation Program (CSSP). The geospatial positions of the sampling sites are also provided.   
  
  These data are collected by ECCC for the purpose of making recommendations on the classification of shellfish harvest area waters. ECCC recommendations are reviewed and adopted by Regional Interdepartmental Shellfish Committees prior to regulatory implementation by Fisheries and Oceans Canada (DFO).  
  
  This dataset is 'Deprecated'. Please use updated source here.  
  
  https://open.canada.ca/data/en/dataset/6417332a-7f37-49bd-8be9-ce0402deed2a

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Air Pollutant Emissions - Carbon monoxide emissions by facility

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Air pollutant emissions indicators track emissions from human activities of 6 key air pollutants: sulphur oxides (SOX), nitrogen oxides (NOX), volatile organic compounds (VOCs), ammonia (NH3), carbon monoxide (CO) and fine particulate matter (PM2.5). Black carbon, which is a component of PM2.5, produced by combustion, is also reported.  Sectoral indicators on air pollutant emissions from the oil and gas industry, transportation, off-road vehicles and mobile equipment and electric utilities provide additional analysis on the largest sources of Canada's air pollutant emissions.  
  
  For each air pollutant, the indicators are provided at the national and provincial/territorial levels. They also identify the major sources of emissions and provide links to detailed information on air pollutant emissions from facilities. The Air pollutant emissions indicators are intended to inform Canadians and decision makers about progress made towards reducing emissions from human-related sources of air pollutants and about the effectiveness of emission reduction measures in reducing emissions to improve ambient air quality in Canada. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated.  
  
  Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Soil Development by Ecodistrict

The National Ecological Framework for Canada's "Soil Development by Ecodistrict” dataset contains tables that provide soil development information for components within the ecodistrict framework polygon. It provides soil development codes and their English and French-language descriptions as well as the percentage of the polygon that the component occupies.  The soil development descriptions are based on the second edition of the Canadian System of Soil Classification (Agriculture Canada Expert Committee on Soil Survey, 1987).

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Annual Crop Inventory 2020

In 2020, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery to for all of Canada, in support of a national crop inventory.  A Decision Tree (DT) based methodology was applied using optical (Landsat-8, Sentinel-2) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by: provincial crop insurance companies in Alberta, Manitoba, & Quebec; point observations from the PEI Department of Environment, Water and Climate Change; the Ontario Ministry of Agriculture, Food and Rural Affairs; and data collection supported by our regional AAFC Research and Development Centres in St. John’s, Charlottetown, Fredericton, and Guelph.   
  
  Due to COVID-19 travel restrictions, complete sampling coverages in NL, NS, NB and BC were not possible, as a result the general agriculture class (120) is found in these provinces in areas where there was no ground data collected.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Annual Crop Inventory 2010

In 2010 the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) continued the process of generating annual crop inventory digital maps using satellite imagery. Focusing on the Prairie Provinces, a Decision Tree (DT) based methodology was applied using both optical (AWiFS, Landsat-5, DMC) and radar (RADARSAT-2) based satellite imagery, and having a final spatial resolution of 56m.  Methods were also developed to enhance the optical classification with RADARSAT-2 imagery, addressing issues associated with cloud cover. In conjunction with satellite acquisitions, ground-truth information was provided by provincial crop insurance companies and point observations from our regional AAFC colleagues. The overall process for Crop Inventory Map includes: satellite data acquisition; field data acquisition for classification training and accuracy assessment; and, operational implementation of the classification methodology.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Coastal Flooding Risk Index [experimental]

The Costal Flooding Risk Index in GeoJSON format is a geo and time referenced polygon product issued by the Meteorological Service of Canada (MSC) to articulate the coastal flooding risk, impact and probability. Products are issued daily by Storm Prediction Centres and intended to provide early notification, out to 5 days, of coastal flooding due to astronomical tide, storm surge and wave impacts.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Subdivision Polygons

Feature dataset containing polygon layers for Crown Land cottage lots in Manitoba  
  
  This feature polygon dataset contains two layers; - Subdivision Polygons, and Cottage Lot Polygons. Manitoba provides an opportunity to purchase a cottage lot located on Crown Land. When new cottage lots become available to the public, these lots are offered through the Cottage Lot Draw process.In the event that new cottage lots are not selected through the draw process, the remaining lots become part of the First-Come, First-Served Cottage Lot Inventory. A current listing of lots available on a first come, first served basis is found in this dataset.This feature dataset is used in the Manitoba Cottage Lots Map and the Manitoba Cottage Lots app.

Organization: Government of Manitoba | Gouvernement du Manitoba
Gridded Soil Landscapes of Canada

This dataset is a rasterized version of the Soil Landscapes of Canada (SLC) dataset. Soil attributes in this dataset have been collated from SLC map polygons and follow the GlobalSoilMap.net standards and specifications at specified depth increments extending over the agricultural portion of Canada.  
  
  Weighted averages of soil attribute properties are generated from existing soil horizon information to conform to recognized fixed depth increments. Soil attribute weighted means are calculated by using all the soil components based on their areal extent within each SLC polygon. The weighted mean averages of attributes are spatially represented by the grid along with the lowest and highest attribute values found within each polygon.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Upper Colorado Structure

These structure, isopach and zero edge files are part of a series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project.  
  
  The series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project have been produced using 2 km equi-spaced modified grids generated from Golden Software’s Surfer 9 kriging algorithm. The dataset used to produce each of the maps in this series was created using data from several projects completed by the Ministry (Christopher, 2003; Saskatchewan Industry and Resources et al., 2004; Kreis et al., 2004; Marsh and Heinemann, 2006; Saskatchewan Ministry of Energy and Resources et al., 2007; Heinemann and Marsh, 2009); these data were validated and edited as required to facilitate correlations between the various regional projects. In addition, to minimize edge effects during contouring, the senior author also generated stratigraphic data from wells in adjacent jurisdictions.

Organization: Government of Saskatchewan | Gouvernement de la Saskatchewan
Canadian Gridded Precipitation Anomalies

Gridded monthly, seasonal and annual anomalies derived from daily total precipitation is available at a 50km resolution across Canada. The Canadian gridded data (CANGRD) are interpolated from adjusted precipitation (i.e., AHCCD datasets). Adjusted precipitation data incorporate adjustments to the original station data to account for discontinuities from non-climatic factors, such as instrument changes or station relocation. The anomalies are the percentage difference between the value for a given year or season and a baseline value (defined as the average over 1961-1990 as the reference period). The yearly and seasonal relative precipitation anomalies were computed for the years 1948 to 2014. The data will be updated as time permits.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Air Pollutant Emissions - Fine particulate matter emissions by facility

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Air pollutant emissions indicators track emissions from human activities of 6 key air pollutants: sulphur oxides (SOX), nitrogen oxides (NOX), volatile organic compounds (VOCs), ammonia (NH3), carbon monoxide (CO) and fine particulate matter (PM2.5). Black carbon, which is a component of PM2.5, produced by combustion, is also reported.  Sectoral indicators on air pollutant emissions from the oil and gas industry, transportation, off-road vehicles and mobile equipment and electric utilities provide additional analysis on the largest sources of Canada's air pollutant emissions.  
  
  For each air pollutant, the indicators are provided at the national and provincial/territorial levels. They also identify the major sources of emissions and provide links to detailed information on air pollutant emissions from facilities. The Air pollutant emissions indicators are intended to inform Canadians and decision makers about progress made towards reducing emissions from human-related sources of air pollutants and about the effectiveness of emission reduction measures in reducing emissions to improve ambient air quality in Canada. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated.  
  
  Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Interpolated Census of Agriculture by Sub-sub drainage area

The Census of Agriculture is disseminated by Statistics Canada's standard geographic units (boundaries). Since these census units do not reflect or correspond with biophysical landscape units (such as ecological regions, soil landscapes or drainage areas), Agriculture and Agri-Food Canada in collaboration with Statistics Canada's Agriculture Division, have developed a process for interpolating (reallocating or proportioning) Census of Agriculture information from census polygon-based units to biophysical polygon-based units.  
  
  In the “Interpolated census of agriculture”, suppression confidentiality procedures were applied by Statistics Canada to the custom tabulations to prevent the possibility of associating statistical data with any specific identifiable agricultural operation or individual. Confidentiality flags are denoted where "-1" appears in data cell. This indicates information has been suppressed by Statistics Canada to protect confidentiality. Null values/cells simply indicate no data is reported.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Surface Form by Ecodistrict

The National Ecological Framework for Canada's "Surface Form by Ecodistrict" dataset contains tables that provide surface form information for components within the ecodistrict framework polygon. It provides surface form codes and their English and French-language descriptions as well as information about the percentage of the polygon that the component occupies. Surface form descriptions describe assemblages of slopes or recurring patterns of forms that occur at the earth's surface. When applied to consolidated materials (material that has been transformed to hard rock), it refers to the form produced after modification by geological processes.  The mineral soil surface forms are: dissected; hummocky (irregular); inclined; level, rolling; ridged; steep; terraced; undulating. The wetland surface forms are: bog; fen; marsh; swamp.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Weather Elements on Grid based on the Regional Deterministic Prediction System [experimental]

For nearly three decades, the SCRIBE system has been used to assist meteorologists in preparing weather reports. The philosophy behind SCRIBE is that a set of weather element matrices are generated for selected stations or sample points and then transmitted to regional weather centers. The matrices are then decoded by SCRIBE and can be modified via the graphical interface by the users. The resulting data is then provided to a text generator, which produces bilingual public forecasts in plain language.  
  
  The various rules related to the Scribe matrices hinder scientific innovation, do not exploit the richness of the Numerical Weather Prediction (NWP), reduce the comprehension of meteorological forecasts, and and may require frequent interventions from forecasters.  
  
  As part of a larger modernization plan for the Meteorological Service of Canada (MSC), in which the role of the forecaster is evolving, the goal is to replace the Scribe matrices, available on the MSC Datamart, and their limited number of points across Canada with Weather Elements on the Grid ("WEonG").  
  
  Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS).

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada