AndreaBozzo/ceres-open-data-index huggingface dataset:
Courts - Annual Report - 10 Yr Comparison

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This is a **10 Year Report** by court level, division and class, as represented by the Court Services Branch.


•	“Session Hours” refers to the amount of time a matter is heard in court.


•	“Scheduled Court Appearances” refers to the number of occasions when cases are scheduled to be before the court for a specific reason, such as the first appearance, case conference, trial, and sentencing.  (* Note that not all scheduled appearances occur, and they may be adjourned prior to the appearance date).


•      “New Court Cases” generally refers to the number of new filings received in a court location that initiate a case, including files transferred from another registry for disposition.


•	“Concluded Cases” indicates the number of Provincial Court criminal cases with a final disposition recorded against all charges on an Information or ticket. 


•	Fiscal Year datasets are available and are based on when the matter was heard.


     

Tags: Annual Reports, Courts, appearance, cases, comparison, concluded cases, court appearances, court hours, courts, hours, new cases, session hours
Organization: Court Services
Courts - Completed Case Timeliness - Length of Time to Conclude - 5 Yr Regional Report - Dashboard

This is a **5 Year Regional Report** by court level, division and class, as represented in the Courts Dashboard.

• "Provincial Court Criminal Cases by Length of Time to Conclude" is a timeliness measure for the percentage of concluded criminal court cases by age category in Provincial Court. 

• This report indicates the proportion of Provincial Court criminal concluded cases that have a time to conclusion within the following age categories:

          o 1 to 60 days;

          o 61 to 120 days;

          o 121 to 180 days;

          o 181 to 240 days;

          o 241 to 365 days;

          o greater than 365 days.

• The extracts report Provincial Court concluded case data for courthouses across BC by 5 regions in BC.

• Fiscal Year datasets are available and are based on the date the case is concluded.



Tags: case, courts, criminal, length, timeliness
Organization: Court Services
Benthic Marine Ecounits - Coastal Resource Information Management System (CRIMS)

Benthic Marine Ecounits in coastal and offshore British Columbia.  Benthic ecounits are intended to describe the sea bed and nearshore. Seven variables were selected to derive benthic ecounits: 1. Depth; 2. Slope; 3. Relief; 4. Temperature; 5. Exposure; 6. Current and 7. Substrate. CRIMS is a legacy dataset of BC coastal resource data that was acquired in a systematic and synoptic manner from 1979 and was intermittently updated throughout the years. Resource information was collected in nine study areas using a peer-reviewed provincial Resource Information Standards Committee consisting of DFO Fishery Officers, First Nations, and other subject matter experts. There are currently no plans to update this legacy data. 

Tags: Canada, benthic, ecological classification, marine, marine ecounit, oceanography
Organization: GeoBC Branch
Courts - Completed Case Timeliness - Length of Time to Conclude - 5 Yr Location Report - Dashboard

This is a **5 Year Location** Report by court level, division and class, as represented in the Courts Dashboard.

• "Provincial Court Criminal Cases by Length of Time to Conclude" is a timeliness measure for the percentage of concluded criminal court cases by age category in Provincial Court. 

• This report indicates the proportion of Provincial Court criminal concluded cases that have a time to conclusion within the following age categories:

          o 1 to 60 days;

          o 61 to 120 days;

          o 121 to 180 days;

          o 181 to 240 days;

          o 241 to 365 days;

          o greater than 365 days.

• The extracts report Provincial Court concluded case data for courthouses across BC.

• Fiscal Year datasets are available and are based on the date the case is concluded.

      



Tags: conclude, courts, criminal, timeliness
Organization: Court Services
Marine Ecosections - Coastal Resource Information Management System (CRIMS)

Marine Ecosection classification for coastal and offshore British Columbia. The Marine Ecosections are: Johnstone Strait; Continental Slope; Dixon Entrance; Hecate Strait; Queen Charlotte Strait; Juan de Fuca Strait; North Coast Fjords; Queen Charlotte Sound; Strait of Georgia; Subarctic Pacific; Transitional Pacific; and Vancouver Island Shelf. The British Columbia Marine Ecological Classification (BCMEC) is a hierarchical classification that delineates Provincial marine areas into Ecozones, Ecoprovinces, Ecoregions and Ecosections. The classification was developed from previous Federal and Provincial marine ecological classifications which were based on 1:2,000,000 scale information. The BCMEC has been developed for marine and coastal planning, resource management and a Provincial marine protected areas strategy. A new, smaller level of classification termed ecounits developed using 1:250,000 scale depth, current, exposure, subsurface relief and substrate was created to verify the larger ecosections, and to delineate their boundaries. CRIMS is a legacy dataset of BC coastal resource data that was acquired in a systematic and synoptic manner from 1979 and was intermittently updated throughout the years. Resource information was collected in nine study areas using a peer-reviewed provincial Resource Information Standards Committee consisting of DFO Fishery Officers, First Nations, and other subject matter experts. There are currently no plans to update this legacy data. 

Tags: Canada, ecological classification, ecology, marine, marine ecosection, oceanography
Organization: GeoBC Branch
Pelagic Marine Ecounits - Coastal Resource Information Management System (CRIMS)

Pelagic Marine Ecounits are intended to describe the sea surface and water column. Two variables were selected to derive pelagic ecounits:1. Salinity and 2. Stratification. The British Columbia Marine Ecological Classification (BCMEC) is a hierarchical classification that delineates Provincial marine areas into Ecozones, Ecoprovinces, Ecoregions and Ecosections. The classification was developed from previous Federal and Provincial marine ecological classifications which were based on 1:2,000,000 scale information. The BCMEC has been developed for marine and coastal planning, resource management and a Provincial marine protected areas strategy. A new, smaller level of classification termed ecounits developed using 1:250,000 scale depth, current, exposure, subsurface relief and substrate was created to verify the larger ecosections, and to delineate their boundaries. CRIMS is a legacy dataset of BC coastal resource data that was acquired in a systematic and synoptic manner from 1979 and was intermittently updated throughout the years. Resource information was collected in nine study areas using a peer-reviewed provincial Resource Information Standards Committee consisting of DFO Fishery Officers, First Nations, and other subject matter experts. There are currently no plans to update this legacy data. 

Tags: Canada, ecological classification, ecology, marine, marine ecounit, oceanography, pelagic
Organization: GeoBC Branch
Fire Burn Severity - Historical

This layer is the one-year-later burn severity classification for large fires (greater than 100 ha). Burn severity mapping is conducted using best available pre- and post-fire satellite multispectral imagery acquired by the MultiSpectral Instrument (MSI) aboard the Sentinel-2 satellite or the Operational Land Imager (OLI) sensor aboard the Landsat-8 and 9 satellites. The post-fire imagery is acquired during the subsequent growing season. Mapping conducted during the subsequent growing season benefits from greater post-fire image availability and is expected to be more representative of tree mortality. Every attempt is made to use cloud, smoke, shadow and snow-free imagery that was acquired prior to September 30th. 

Please note, this layer is 1-year-later burn severity dataset. The same-year burn severity mapping dataset (WHSE_FOREST_VEGETATION.VEG_BURN_SEVERITY_SAME_YR_SP) is considered an interim product to this layer. 

#### Methodology:

•	 Select suitable pre- and post-fire imagery or create a cloud/snow/smoke-free composite from multiple images scenes

•	 Calculate normalized burn severity ratio (NBR) for pre- and post-fire images

•	 Calculate difference NBR (dNBR) where dNBR = pre NBR – post NBR

•	 Apply a scaling equation (dNBR_scaled = dNBR*1000 + 275)/5)

•	 Apply BARC thresholds (76, 110, 187) to create a 4-class image (unburned, low severity, medium severity, and high severity)

•	 Apply region-based filters to reduce noise

•	 Confirm burn severity analysis results through visual quality control

•	 Produce a vector dataset and apply Euclidian distance smoothing

Tags: Burn Severity, Fire, Fire Impact, Fire Severity, Wildfire, burn, burned, disturbance, fire perimeters, fire polygon
Organization: Forest Analysis and Inventory Branch
Fire Burn Severity - Same Year

This layer is the current fire year burn severity classification for large fires (greater than 100 ha). Burn severity mapping is conducted using best available pre- and post-fire satellite multispectral imagery acquired by the MultiSpectral Instrument (MSI) aboard the Sentinel-2 satellite or the Operational Land Imager (OLI) sensor aboard the Landsat-8 and 9 satellites. Every attempt is made to use cloud, smoke, shadow and snow-free imagery that was acquired prior to September 30th. However, in late fire seasons imagery acquired after September 30th may be used.

This layer is considered an interim product for the 1-year-later burn severity dataset (WHSE_FOREST_VEGETATION.VEG_BURN_SEVERITY_SP). Mapping conducted during the following growing season benefits from greater post-fire image availability and is expected to be more representative of tree mortality.

#### Methodology:

•	 Select suitable pre- and post-fire imagery or create a cloud/snow/smoke-free composite from multiple images scenes

•	 Calculate normalized burn severity ratio (NBR) for pre- and post-fire images

•	 Calculate difference NBR (dNBR) where dNBR = pre NBR – post NBR

•	 Apply a scaling equation (dNBR_scaled = dNBR*1000 + 275)/5)

•	 Apply BARC thresholds (76, 110, 187) to create a 4-class image (unburned, low severity, medium severity, and high severity)

•	 Mask out water bodies using a satellite-derived water layer

•	 Apply region-based filters to reduce noise

•	 Confirm burn severity analysis results through visual quality control

•	 Produce a vector dataset and apply Euclidian distance smoothing

Tags: Burn Severity, Fire, Fire Impact, Fire Severity, Wildfire, burn, burned, disturbance, fire perimeters, fire polygon
Organization: Forest Analysis and Inventory Branch
Courts - Completed Case Timeliness - Median Time to Conclude - 5 Yr Regional Report - Dashboard

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This is a **5 Year Regional Report** by court level, division and class, as represented in the Courts Dashboard.


•	"Provincial Court Criminal Cases Median Time to Conclude" refers to the median time to conclude criminal cases in Provincial Court based on the number of days between the first scheduled appearance on a case and the date the case was concluded.

 
•	The extracts report Provincial Court concluded case data for courthouses across BC. 


•	Fiscal Year datasets are available and are based on the date the case is concluded. 


      


Tags: Courts, Regional, completed case, courts, regional, timeliness
Organization: Court Services
Metadata for Child Welfare Program

Jan 1985 to Mar 2025 - metadata for the complete listing (by month) of children and youth under the supervision of MCFD by a court order or by agreement with the parents.  Includes de-identified list of child youth contacts associated with MCFD services.

If you are a researcher and want to work with us to help make BC programs and services better, apply to use this dataset and don't hesitate to ask questions here: https://dpdd.atlassian.net/servicedesk/customer/portal/2

Tags: Child, Children, Court Order, DIP, Welfare, Youth, children in care
Organization: Data Innovation Program (DIP)
Metadata for Census Geodata

Apr 1986 to Mar 2025 - Census geodata locations for de-identified individuals receiving health services. Census Geodata dataset is part of Central Demographics Collection.

Central Demographics Collection is a created by PopulationData BC from multiple sources, with the MSP Registration and Premium Billings as primary source. Other sources are used to augment this base, such as, BC Health's services utilization files (MSP Payment Information, Discharge Database), BC Stats Translation Master File (TMF), Statistics Canada Postal Code Conversion File (PCCF). 

If you are a researcher and want to work with us to help make BC programs and services better, apply to use this dataset and don't hesitate to ask questions here: https://dpdd.atlassian.net/servicedesk/customer/portal/2

Tags: census division, demographics, geodata, registration
Organization: Data Innovation Program (DIP)
Metadata for Child and Youth Mental Health

Jan 2000 to Mar 2025 - metadata for Community-Based Mental Health Services for Children, Youth and Families.  

If you are a researcher and want to work with us to help make BC programs and services better, apply to use this dataset and don't hesitate to ask questions here: https://dpdd.atlassian.net/servicedesk/customer/portal/2

Tags: Child, DIP, Mental Health, Youth
Organization: Data Innovation Program (DIP)
TRIM Water Lines

Water features - rivers, lakes, canals, marshes, swamps, reservoirs, falls, rapids, dams, dykes, glaciers, sand bars, etc. (see https://www2.gov.bc.ca/assets/gov/data/geographic/topography/trim/trim_featurecode_list.xls for full list). The TRIM program produces digital maps, which is a collection of coverages to conform with the BC Geographic System layout. TRIM mapping consists of 7,027 mapsheets covering the province of British Columbia at a scale of 1:20 000.

Tags: Canada, Drainage, Hydrology, TRIM, basemap, topographic map
Organization: GeoBC Branch
Water Reserves - Aquifers

Province wide spatial view showing aquifers designated as a Water Reservation.  These Reserves set aside water in an aquifer specifically for future treaty obligations, and are formally established through Orders in Council issued by the Lieutenant Governor in Council, as authorized under Sections 39–41 of the Water Sustainability Act.

Tags: Canada, Hydrogeology, Hydrology, Treaty negotiations, WSA Sec 39, WSA Sec 40, aquifers, water licencing, water reserve
Organization: Water Management
BC Municipal Solid Waste Disposal Rates

This dataset contains estimates of the per-capita amount, in kilograms, of municipal solid waste disposed of in B.C., by regional district, from 1990 to 2023. The data from 1990-2006 data were collected from the regional districts by the Ministry of Environment, and were previously published in annual Municipal Solid Waste Tracking Reports. The 2007 data were collected by the BC Climate Action Secretariat for the [Community Energy and Emissions Inventory](http://www2.gov.bc.ca/gov/content?id=9CD252EC63C84868AC2325F70E21683C). The source CEEI data are available [here](https://catalogue.data.gov.bc.ca/dataset/bfa9ebf9-57b9-46cb-b098-2081de538e2e), and include a wide variety of information for all types of local governments (e.g., municipalities, unincorporated ares, etc). The 2010-2023 disposal amounts were provided by the Regional Districts, except in a few cases where they were estimated by Ministry of Environment staff. The disposal rates for Comox Valley and Strathcona are reported together, as they handle their waste stream [together](http://www.cswm.ca/index.html). Please see the More Info link below for a visualization of municipal solid waste disposal in BC. Note that differences in methodologies over time and among Regional Districts make direct comparisons difficult. 

Regional District population estimates are sourced from [BC Stats](https://www2.gov.bc.ca/gov/content?id=36D1A7A4BEE248598281824C13CB65B6). Some population estimates have been adjusted based on data submitted by the Regional Districts based on local information (e.g. tourism population estimates).

Tags: disposal, environment, municipal solid waste, stateofenvironment, waste
Organization: Environmental Monitoring and Analysis Branch
Regional Strategic Environmental Assessment - Moose - Northeast BC (2018)

The Regional Strategic Environmental Assessment (RSEA) Moose Core Effective Suitable Habitat represents the core effective winter forage and shelter habitat for moose in Northeast British Columbia. 

Tags: CE, Cumulative Effects, ESI, Habitat, Moose, Moose Habitat, NE, Northeast, RSEA, Regional Strategic Environmental Assessment
Organization: Collaborative Stewardship and Cumulative Effects Management
Regional Strategic Environmental Assessment - Old Forest - Northeast BC (2018)

The Regional Strategic Environmental Assessment (RSEA) Old Forest 140 spatial data is a value-added product derived from an unspecified vintage of the annually updated Forest Vegetation Composite Polygons and Rank1 Layer (VRI) that represents forest stands 140 years and older, that is contiguous.

Tags: CE, Cumulative Effects, ESI, Forest, NE, Northeast, Old, Old Forest, RSEA, Regional Strategic Environmental Assessment
Organization: Collaborative Stewardship and Cumulative Effects Management
Regional Strategic Environmental Assessment - Disturbance Layer - Northeast BC (2018)

The Regional Strategic Environmental Assessment (RSEA) disturbance dataset for northeast British Columbia (2018) brings together landscape disturbance data into a consistent format for use in land and environmental management decisions. In this context, the word disturbance includes characterization of anthropogenic developments and a set of natural impacts that have changed the landscape in Northeastern British Columbia. 

Tags: Anthropogenic, CE, Cumulative Effects, Disturbance, ESI, Footprint, Human Disturbance, NE, Northeast, RSEA, Regional Strategic Environmental Assessment
Organization: Collaborative Stewardship and Cumulative Effects Management
Saulteau Disturbance 2024 Data

The Regional Strategic Environmental Assessment (RSEA) disturbance dataset for northeast British Columbia (2018) brings together landscape disturbance data into a consistent format for use in land and environmental management decisions. In this context, the word disturbance includes characterization of anthropogenic developments and a set of natural impacts that have changed the landscape in Northeastern British Columbia. This dataset is an update to the methodology and input datasets for 2023/24 completed by Saulteau First Nations and Ecora Engineering and Resource Group Ltd. https://catalogue.data.gov.bc.ca/dataset/c6f4ba25-115f-4d25-bca6-a6704baf4a13

Tags: CE, Cumulative Effects, Disturbance, ESI, Environmental Stewardship Initiative, Footprint, Human Disturbance, NE, Northeast, RSEA, Regional Strategic Environmental Assessment, anthropogenic
Organization: Collaborative Stewardship and Cumulative Effects Management
Metadata for ICBC Crash - E03

Jan 2015 to Dec 2024 - metadata for crash data that is gathered from reports made to ICBC by insured registered vehicle owners, drivers, pedestrians and cyclists.

If you are a researcher and want to work with us to help make BC programs and services better, apply to use this dataset and don't hesitate to ask questions here: https://dpdd.atlassian.net/servicedesk/customer/portal/2

Tags: ICBC, claim, collision, crash, cyclist, driver, pedestrian
Organization: Data Innovation Program (DIP)
Metadata for ICBC Contraventions

Jan 2010 to Dec 2024 - metadata for contraventions process by ICBC including Motor Vehicle Act (MVA), Motor Vehicle Act Regulations (MVR) and Criminal Code Convictions (CCC) contraventions processed by ICBC.

If you are a researcher and want to work with us to help make BC programs and services better, apply to use this dataset and don't hesitate to ask questions here: https://dpdd.atlassian.net/servicedesk/customer/portal/2

Tags: Contraventions, Criminal Code Convictions., DIP, Motor Vehicle Act, Motor Vehicle Act Regulations, offences, tickets, violations
Organization: Data Innovation Program (DIP)
Landscape Units of British Columbia - All

** See the accuracy and usage WARNING in the Identification: Supplemental Information and Data Quality: Source Information sections.** A spatially identified area of land and/or water used for long-term planning of resource management activities. Landscape units are important for designing strategies and objectives to maintain landscape level biodiversity and for managing other forest resources. Landscape units are also used to initiate landscape unit plans, which provide direction on biodiversity, old growth forest retention, wildlife habitat maintenance and timber harvesting. LUs may also be used as planning zones for other stakeholders in addition to forest licensees and MOFR. This layer includes all LU shapes from past and present.

Tags: ALU, LU, Landscape Units of British Columbia, landscape unit
Organization: Collaborative Stewardship and Cumulative Effects Management
Landscape Units of British Columbia - Current

Landscape Units are spatially identified areas of land and/or water used for long-term planning of resource management activities.  Landscape units are important for designing strategies and objectives to maintain landscape level biodiversity and for managing other forest resources.  Landscape units are also used to initiate landscape unit plans, which provide direction on biodiversity, old growth forest retention, wildlife habitat maintenance and timber harvesting.  LUs may also be used as planning zones for other stakeholders in addition to forest licensees and MOFR. This spatial view was created based on the selection from the layer LANDSCAPE UNIT SP, where the DATE OF RETIREMENT is null. Therefore, only current LU shapes are included in this layer

Tags: ALU, LU, Landscape Units of British Columbia, landscape unit
Organization: Collaborative Stewardship and Cumulative Effects Management
ICBC - Driver Licensing

Jan 2010 to Dec 2024 - Active driver licenses, knowledge test and road tests.

The open data set includes driver license counts that you can filter by license class, municipality, year and more. It also includes road test and knowledge test counts that you can filter by municipality, class, result and more.


Tags: Driver Licence, Driver Licensing, ICBC, Knowledge Test, Road Test, insurance corporation of british columbia
Organization: Insurance Corporation of British Columbia