AndreaBozzo/ceres-open-data-index huggingface dataset:
Business activities that were moved from outside of Canada into Canada, by industry and enterprise size

<p>Percentage of enterprises that moved specific business activities from outside Canada into Canada, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Business activities include production of goods, distribution and logistics services, call and help centre services, marketing and sales services, information and communication technology (ICT) services, professional services, engineering and research and development (R&amp;D) services, general management services, and all other business activities.</p>

Organization: Statistics Canada | Statistique Canada
Importance of reasons for employing personnel outside of Canada, by industry and enterprise size

<p>Percentage of enterprises for which specific reasons for employing personnel outside Canada were not at all important, somewhat important, important, very important or not applicable, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Reasons for employing personnel outside Canada include: reduced labour costs, reduced costs other than labour costs, access to new markets, increased access to supply chains or regional trade networks, increased sales, proximity to important customers, access to specialized knowledge or technologies, tax or other financial incentives, improved logistics, lack of available labour in Canada and other reasons for employing personnel outside Canada. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).</p>

Organization: Statistics Canada | Statistique Canada
Innovation activities conducted, by industry and enterprise size

<p>Percentage of enterprises that conducted specific innovation activities, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Innovation activities include research and experimental development; acquisition or development of advanced technology; design activities related to other organizations; employee training specifically for innovation projects; consultation activities with external experts or internal workgroups; activities related to the development and implementation of new marketing methods; market preparation activities directly linked to the introduction of new goods or services; and other innovation activities. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).<br></p>

Organization: Statistics Canada | Statistique Canada
Novelty of product (good or service) innovations introduced by industry and enterprise size

<p>Percentage of enterprises that introduced product (good or service) innovations that were new to one of their markets, new to this business only, and new to one of their markets and new to this business only, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period.<br></p>

Organization: Statistics Canada | Statistique Canada
Mixed modes of import, export and sales of goods or services by industry and enterprise size

<p>Percentage of enterprises that had mixed modes of import of goods or services, direct export of goods or services, and sales of goods or services that were then exported "as-is" (indirect exporter) or used as intermediate inputs and then exported (intermediary exporter), by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period.</p>

Organization: Statistics Canada | Statistique Canada
Sales of goods or services to another business inside Canada that then exported goods or services, by industry and enterprise size

<p>Percentage of enterprises that sold goods or services to another business in Canada that then exported these goods or services "as-is", or used the goods as intermediate inputs in a final good that was then exported, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period.</p>

Organization: Statistics Canada | Statistique Canada
Export of goods or services, by industry and enterprise size

<p>Percentage of enterprises that exported and did not export goods or services outside Canada, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Enterprises that exported are broken down into exporters with unsuccessful attempts to export to additional markets, and exporters with unsuccessful attempts to export additional goods or services. Enterprises that did not export are broken down into non-exporters with unsuccessful attempts to export.</p>

Organization: Statistics Canada | Statistique Canada
Importance of reasons for purchasing goods or services from unaffiliated foreign businesses, by industry and enterprise size

<p>Percentage of enterprises for which specific reasons for purchasing goods or services from unaffiliated foreign businesses were not at all important, somewhat important, important, very important or not applicable, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Reasons for purchasing goods or services from unaffiliated foreign businesses include reduced labour costs, reduced costs other than labour costs, better quality goods or services, no suppliers available in Canada, reduced delivery times, increased access to supply chains or regional trade networks, access to specialized knowledge or technologies, tax or other financial incentives, lack of available labour in Canada, and other reasons for purchasing goods or services from an unaffiliated business outside Canada. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).</p>

Organization: Statistics Canada | Statistique Canada
Purchase of goods or services, by industry and enterprise size

<p>Percentage of enterprises that purchased goods or services, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Goods or services include goods for use as intermediate input for domestic production, goods for resale “as-is,” distribution and logistics services, call and help centre services, marketing and sales services, information and communication technology (ICT) services, professional services, engineering and research and development (R&amp;D) services, and other types of goods or services. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).</p>

Organization: Statistics Canada | Statistique Canada
Difficulty of obstacles when exporting or attempting to export goods or services, by industry and enterprise size

<p>Percentage of enterprises for which specific obstacles to exporting or attempting to export goods or services were not at all difficult, somewhat difficult, difficult, very difficult or not applicable, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Obstacles to exporting or attempting to export include administrative obstacles and resource limitations—Canadian legal or administrative obstacles, foreign legal or administrative obstacles, foreign tariffs or trade barriers, concerns over intellectual property (IP) protection, access to financing, lack of internal resources or capacity, and lack of management know-how; external barriers—efficiency, capacity or reliability of transportation infrastructures, and shipping costs; market obstacles—identifying foreign customers, obtaining knowledge on markets of interest, identifying foreign partners, suppliers or distributors, uncertainty of foreign or international standards, and receiving payment from foreign customers; and other obstacles—all other obstacles to exporting or attempting to export.<br></p>

Organization: Statistics Canada | Statistique Canada
Perfluoroalkyl and Polyfluoroalkyl Substances in Canadian Municipal Wastewater Treatment Systems

This data set contains concentrations of perfluoroalkyl and polyfluoroalkyl substances (PFAS) in wastewater Influent (INF), Effluent (EFF), Landfill Leachate (LCH), Biosolids (BIOS) and Sludge (SLG) sampled from various Wastewater Treatment Plants (WWTPs) and Landfills across Canada.

Scientific Publications:
Gewurtz, S. B.; Auyeung, A. S.; De Silva, A. O.; Teslic, S.; Smyth, S. A. Per- and polyfluoroalkyl substances (PFAS) in Canadian municipal wastewater and biosolids: Recent patterns and time trends 2009 to 2021. Sci. Total Environ. 2024, 912, 168638, DOI: https://doi.org/10.1016/j.scitotenv.2023.168638.

Gewurtz, S. B.; Guerra, P.; Kim, M. G.; Jones, F.; Challen Urbanic, J.; Teslic, S.; Smyth, S. A. Wastewater treatment lagoons: Local pathways of perfluoroalkyl acids and brominated flame retardants to the Arctic environment. Environ. Sci. Technol. 2020, 54 (10), 6053-6062, DOI: https://doi.org/10.1021/acs.est.9b06902.

Guerra, P.; Kim, M.; Kinsman, L.; Ng, T.; Alaee, M.; Smyth, S. A. Parameters affecting the formation of perfluoroalkyl acids during wastewater treatment. J. Hazard. Mater. 2014, 272, 148-154, DOI: https://doi.org/10.1016/j.jhazmat.2014.03.016.

Lakshminarasimman, N.; Gewurtz, S. B.; Parker, W. J.; Smyth, S. A. Removal and formation of perfluoroalkyl substances in Canadian sludge treatment systems – A mass balance approach. Sci. Total Envion. 2021, 754, 142431, DOI: https://doi.org/10.1016/j.scitotenv.2020.142431.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
FactSheet1 - NAD83(CSRS)v7E2010.pdf

The Canadian Spatial Reference System (CSRS) derivation of the North American Datum 1983 (NAD83) was first implemented for Alberta Survey Control Markers (ASCMs) in 1999. Since then, Alberta has undertaken three provincial readjustments of the Alberta Survey Control network culminating in the latest derivation of NAD83(CSRS), NAD83(CSRS)v7 Epoch 2010.

Organization: Government of Alberta | Gouvernement de l'Alberta
FactSheet2-ASCM_Legacy_Data.pdf

Alberta Survey Control Marker (ASCM) data is available for three reference frames: The North American Datum of 1927 (NAD27), the original derivation of the North American Datum of 1983 (NAD83(Original)), and the Canadian Spatial Reference System (CSRS) derivation of NAD83 (NAD83(CSRS)). This fact sheet reviews the NAD27 and NAD83(Original) datums including currency of coordinate data, coordinate differences between datums, and phasing out of ASCM integration and maintenance of coordinate data on each datum.

Organization: Government of Alberta | Gouvernement de l'Alberta
FactSheet3-ASCM_Data_Products.pdf

Geodetic Control publishes coordinate data with respect the North American Datum of 1927 (NAD27) and the North American Datum of 1983 (NAD83). The NAD83 coordinate data is further broken down into coordinate data relative to the original implementation of NAD83 (NAD83(Original)) and the Canadian Spatial Referencing System implementation of NAD83 (NAD83(CSRS)). This fact sheet outlines the format and location where Alberta Survey Control Marker (ASCM) coordinate data is available.

Organization: Government of Alberta | Gouvernement de l'Alberta
FactSheet8-ASCM-index-maps.pdf

Alberta Survey Control Marker (ASCM) index maps are a graphical representation of the provincial spatial referencing system. The index maps display the location of integrated ASCMs in relation to various base mapping features including the Alberta Township System, hydrography, geo-administrative boundaries (Municipal and Canada lands), road networks, railways, and airports. In addition, index maps covering urban areas include street names, networks, and major facilities (schools, hospitals, etc.). Only those markers with a marker condition of GOOD or ANOMALOUS are displayed on the index maps. ASCM index maps are available from https://www.alberta.ca/geodetic-control-unit.aspx#toc-3.

Organization: Government of Alberta | Gouvernement de l'Alberta
FactSheet6-Summary_of_Provincial_and National_Coordinate_Adjustments.pdf

This Fact Sheet presents a brief overview of provincial readjustments of the Alberta Survey Control network as well as national (cross-Canada) readjustments that define the reference frame in Canada (and Alberta). It is important to note that with the advancement of least squares adjustment software in the 70’s and 80’s, the ability to carry out large scale readjustments has increased dramatically. This increase is reflected in the implementation and refinement of various 2-dimensional (NAD27) and 3-dimensional (NAD83) reference frames in Canada (including Alberta).

Organization: Government of Alberta | Gouvernement de l'Alberta
FactSheet4-Canadian_Geodetic_Vertical_Datum_of_2013_and 1928.pdf

In Alberta there are two official vertical datums; The Canadian Geodetic Vertical Datum of 2013 (CGVD2013) and the Canadian Geodetic Vertical Datum of 1928 (CGVD28). This fact sheet describes both datums and their implementation in Alberta.

Organization: Government of Alberta | Gouvernement de l'Alberta
2017 School Board Trustee Election Results

Results of the most recent school board trustee elections in Alberta. The information contained in the spreadsheet is current as of October 27, 2017. Alberta Education is aware there have been a number of by-elections, resignations and other changes not reflected in this data. This data is collected, in this format, only in the year of a general election, and it will not be updated again until October 2021. Alberta Education is aware there are a few boards/wards where the votes were only recorded for the successful candidates (and not the unsuccessful candidates), and some boards who did not provide any vote count at all at the time this information was prepared. Appointed trustees are not included in this table.

Organization: Government of Alberta | Gouvernement de l'Alberta
PACP Committee briefing binder: Appearance by the Deputy Minister of Employment and Social Development Canada - December 14, 2023

Appearance by the Deputy Minister of Employment and Social Development Canada Standing Committee on Public Accounts (PACP). Study: Auditor General Report 2023, Report 7 - Modernizing Information Technology Systems, Report 8 - The Benefits Delivery Modernization Programme (BDM). Date: December 14, 2023, 11:00 to 13:00.

Organization: Employment and Social Development Canada | Emploi et Développement social Canada
Shoreline mapping vector data in regions along Canada's east, west and north coasts, based on low-altitude helicopter videography in support of environmental emergency preparedness efforts

With the changing climate conditions, marine traffic along Canada’s coastal regions has increased over the past couple of decades and the need to improve our state of preparedness for oil-spill-related emergencies is critical. Baseline coastal information, such as shoreline form, substrate, and vegetation type, is required for prioritizing operations, coordinating onsite spill response activities (i.e. Shoreline Cleanup Assessment Technique [SCAT]), and providing information for wildlife and ecosystem management. 

Between 2010 and 2019, georeferenced high-definition videography and photos were collected for various study sites across coastal Canada. The study areas include Beaufort Sea, Mackenzie Delta channels and Banks Island in the western Canadian Arctic; James Bay, Hudson Bay, Nunavik, Resolute Bay, Victoria Strait, Baffin Island and Coronation Gulf in the eastern Canadian Arctic; Labrador, Bay of Fundy and Chedabucto Bay in Atlantic Canada and Kitimat, Haida Gwaii, North Vancouver Island, Mainland BC and Burrard Inlet in the northern Pacific.

Data was collected during ice-free and low tide conditions (where applicable) between July and September. Low-altitude helicopter surveys were conducted at each study site to capture video of the shoreline characteristics. In addition to acquiring videography, ground-based observations were recorded in several locations for validation.

Shoreline segmentation was then carried out by manual interpretation of the oblique videography and the photos aided by ancillary data. This involved splitting and classifying the shoreline vectors based on homogeneity of the upper intertidal zone. Detailed geomorphological information (i.e. shoreline type, substrate, slope, height, accessibility etc.) describing the upper intertidal, lower intertidal, supratidal and backshore zones was extracted from the video and entered into a geospatial database using a customized data collection form. In addition, biological characteristics like biobands, water features, fauna, human use etc. observed along the coast were recorded.

The data was also validated through ground samples (when available) and a second interpreter QA (quality analysis) was performed on each dataset (excluding Nunavik) to ensure high quality and consistency. 

The final dataset contains segments ranging in length from 150 m to 2500 m (except Nunavik). The minimum segment length is 45 m for study areas in the west coast that were surveyed in 2018-2019. In total, about 33,700 km of shoreline were segmented within all the survey zones.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Briefing Package for the hearing before the Standing Committee on Public Accounts (PACP) on 2024 Report 1 of the Auditor General of Canada, ArriveCAN. January 25, 2024

Briefing Package for the hearing before the Standing Committee on Public Accounts (PACP) on 2024 Report 1 of the Auditor General of Canada, ArriveCAN. January 25, 2024

Organization: Office of the Auditor General of Canada | Bureau du vérificateur général du Canada
HUMA Committee briefing binder: Appearance by the Minister Labour and Seniors - March 21, 2024

Official title: Appearance by the Minister Labour and Seniors, Standing Committee on Human Resources, Skills and Social Development and the Status of Persons with Disabilities (HUMA), Bill C-58, An Act to Amend the Canada Labour Code and the Canada Industrial Relations Board Regulations, 2012. Date: March 21, 2024 - 9:15 a.m. to 10:15 a.m.

Organization: Employment and Social Development Canada | Emploi et Développement social Canada
St. Simon Bay Eelgrass Classification

This dataset contains results from an eelgrass classification in Shippagan Harbour, New Brunswick. Derived from a Quickbird satellite image collected on July 27, 2007 at as close to low-tide as possible. Classification was objected-oriented using Definiens software. Data used for accuracy and training was collected along transects using a differential GPS positioned towfish holding sidescan sonar, and a video camera that was later transcribed as XY points to describe eel-grass presence.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Neguac Bay Eelgrass Classification

It has long been understood that eelgrass (Zostera marina) is important to waterfowl such as Atlantic Brant (Branta bernicla hrota), Canada Goose (Branta canadensis), American Black Duck (Anas rubripes), Common Goldeneye (Bucephala clangula) and Barrow's Goldeneye (Bucephala islandica). In New Brunswick, eelgrass can be found along the Gulf of St. Lawrence, in protected harbours such as at Neguac Bay, in the province's northeast (47015’N, 65002’W).This dataset contains results from an eelgrass classification for Neguac Bay, New Brunswick. True colour aerial photography at 57 centimetre resolution was collected on September 2, 2009 by Nortek Resources of Thorburn, Nova Scotia (https://www.nortekresources.com/). Image classification was conducted using eCognition Developer v. 8 Software, which first segments the image into spectrally similar units, which were then classified manually. Additionally, the Department of Fisheries and Oceans (Gulf Region, Moncton, NB) conducted a visual field survey in the same field season at 126 sites. Two-thirds of these sites were used to assist in image classification, while the remainder were used to assess accuracy. Three classes were identified:Good Quality Eelgrass: relatively dense, clean, green blades with minimal epiphytes or algal growth. Medium Quality Eelgrass: predominately green blades that may have some epiphyte or algal growth. These stands can be less or equally dense as Good Quality Eelgrass, but the best grasses are certainly not as abundant. Eelgrass Absent/Poor Quality: eelgrass is absent, or if it is present it is typically covered with epiphytes or other algae or dying or dead. Eelgrass was classified correctly 81% of the time in a fuzzy accuracy assessment technique, whereby those classes that were ‘off’ by one class, e.g. Good Quality eelgrass classed as Medium Quality, were given half credit towards the overall accuracy. Of 39 sites that were within the classification area, 27 were correct, 9 were "one-off", and 3 were incorrect [(27 + (9/2))/ 39 = 0.81].

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Tracadie Bay Eelgrass Classification

This dataset contains results from an eelgrass classification for Tracadie Bay, New Brunswick. True colour aerial photography at 57 centimetre resolution was collected on September 2, 2009 by Nortek Resources of Thorburn, Nova Scotia (https://www.nortekresources.com/). Image classification was conducted using eCognition Developer v. 8 Software, which first segments the image into spectrally similar units, which were then classified manually. Additionally, the Department of Fisheries and Oceans (Gulf Region, Moncton, NB) conducted a visual field survey in the same field season at 101 sites. Approximately two-thirds of these sites were used to assist in image classification, while the remainder was used to assess accuracy. Three classes were identified:  
  
                 i. Good Quality Eelgrass: relatively dense, clean, green blades with minimal epiphytes or algal growth.   
  
                 ii. Medium Quality Eelgrass: predominately green blades that may have some epiphyte or algal growth. These stands can be less or equally dense as Good Quality Eelgrass, but the best grasses are certainly not as abundant.  
  
                 iii. Eelgrass Absent/Poor Quality: eelgrass is absent, or if it is present it is typically covered with epiphytes or other algae or dying or dead.   
  
  Eelgrass was classified correctly 79.3% of the time in a fuzzy accuracy assessment technique, whereby those classes that were ‘off’ by one class, e.g. Good Quality eelgrass classed as Medium Quality, were given half credit towards the overall accuracy. Of 29 sites that were within the classification area, 18 were correct, 10 were "one-off", and 1 was incorrect [(18 + (10/2))/ 29 = 0.793].

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Richibucto Harbour Eelgrass Classification

An eelgrass distribution map was classified from remotely sensed imagery in Richibucto Harbour, New Brunswick. Derived from a Quickbird satellite image collected on August 28th, 2007 at as close to low-tide as possible. Quickbird's ground resolution is 2.4 m. Classification was objected-oriented using Definiens software. Accuracy was 81.5%. Data used for accuracy and training was collected along transects using a differential GPS positioned towfish holding sidescan sonar, and a video camera that was later transcribed as XY points to describe eel-grass presence.

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