The “Agro-Pedological Atlas of Quebec” is a dataset that shows the characteristics, the fertility, the quality of the water regime, the vulnerability to degradation and the potential of the agricultural soils and land in the Monteregian region of the province of Quebec.

This LiDAR DEM, originated from the Government of Manitoba (2019-05), was hydro-conditioned with a recent culvert inventory including GIS data from the Province of Manitoba for provincial highways as well as hard copy maps from the Rural Municipality of Lorne. It also included GPS and desktop surveys as part of a collaborative effort between Agriculture and Agri-Food Canada, Swan Lake First Nation, and Pembina Valley Watershed District. The hydro-conditioned DEM was used by the International Institute for Sustainable Development (IISD) as input for hydrological modelling of catchments near Swan Lake flowing into the Pembina River (Pembina River Watershed, MB) to spatially target water-related agricultural beneficial management practices (e.g, flood management infrastructure, water retention structures, nutrient and sediment load reduction practices). The DEM spatial extent represents the area of interest referred to as the “Swan Lake Study Area”, as part of the Eastern Prairies Living Lab, AAFC (2019-2023).

A systematic oceanographic monitoring program was initiated in September 1989 at twenty-five monitoring stations in the Passamaquoddy Bay area and approaches by Dr. Shawn Robinson based out of the St. Andrews Biological Station (SABS). Stations were established in a uniform grid pattern of two arcminutes latitude and longitude over the study area in order to develop a database on the spatial patterns of water properties. Monthly measurements of the water column for the temperatures and salinity at all stations was completed using a Seacat SBE 19 internally recording CTD from Sea-bird Electronics Inc. The CTD was programmed to record conductivity, temperature, and depth at a frequency of 2 hz, corresponding to 2 measurements per meter of water depth. CTD casts were recorded for each of the 25 stations in the study area monthly using the R/V Pandalus, and later the CCGS Viola M. Davidson based out of SABS. The CTD was configured such that the sensors were oriented towards the benthos and the CTD was then attached to a hydraulic winch on the deck of the ship by a stainless steel cable one meter above a weight, and lowered 1 m below the water's surface in order for the CTD to equilibrate for one minute. The CTD was then lowered at 1 m/s to the benthos using a metered block on the winch to determine when the CTD had reached the maximum depth at that station. Once the weight had touched the bottom, the CTD was retrieved from the water, turned off, and placed in a bucket of fresh seawater in order to minimize equilibration time at the next station. Initially, the CTD measured salinity via water forced through the salinity cell with the drop rate of 1 m/s, but in August 1992, a pump was mounted on the CTD in order to provide a more consistent flow of water across the salinity cell. Surface temperatures were measured from bucket samples collected upon arriving at each station using a hand-held mercury thermometer at each station, and Secchi disk measurements were recorded. All data were downloaded from the CTD upon return to SABS using a DFO computer and the proprietary Sea-Soft software. Downcast data from each profile was retained, binned into 1 m intervals, and processed to remove data spikes, density inversions, and anomalies due to inadequate instrument equilibration. Processed data was then stored in the DFO's Oracle database (PTRAN) under the IMTA_SABS schema in the INVHYD and INVINF tables. Station numbers and locations are recorded in the CTD_STATIONS table in the IMTA_SABS schema. Cite this data: Robinson, S. Data of: Passamaquoddy Bay monthly Conductivity Temperature and Depth (CTD) sampling (1989 - 2018). Published: October 2019. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, NB. https://open.canada.ca/data/en/dataset/12184962-7879-4214-aef0-b31162f04a27

Polyline layer of the express circuit of the Régie de transport en public de Shawinigan (RTCS) on the territory of the city of Shawinigan. [Link to the complete Isogeo sheet] (https://open.isogeo.com/s/b6da64af30234cbda2afed3972a5fc3e/Urd8YxfJdWSzGaUmhHFMY60vx14s0/r/3d69fe282b6548338ae9d2cb734dc583?lock)! [Shawinigan logo] (https://jmap.shawinigan.ca/doc/photos/LogoShawinigan.jpg)! [RTCS logo] (https://jmap.shawinigan.ca/doc/photos/RTCS-Copie.jpg) **Attributs** * `objectid` (`integer`): * `name` (`char`): Name * `st_length (shape) `(`double`)` (`double`): Length**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Major assignment layer. **Collection context** Taken from the zoning by-law. **Collection method** Computer-aided mapping. **Attributes** * `ID_ASSIGNMENT` (`integer`): Identifier * `ASSIGNATION` (`varchar`): Assignment * `CODE_ASSIGNATION` (`varchar`): Assignment code * `ZON_AREA` (`integer`): Identifier * `AREA` (`integer`): Area * `SECTOR` (`varchar`): Note * `AREA` (`numeric`): Area * `SECTOR` (`varchar`): Note * `DATE_CREATION` `(`smalldatetime`): Created on * `DATE_MODIFICATION` (`smalldatetime`): Modified on * `USER_MODIFICATION` (`varchar`): Modified by * `SOURCE` (`varchar`): Source For more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Electoral districts for the 2021 municipal election. **Collection context** Creation of districts in collaboration with the legal services and electoral data of the Chief Electoral Officer (DGE). Balancing of districts according to anthropogenic constraints and number of voters. **Collection method** Analysis and creation with computer-aided mapping software. **Attributes** * `NAME_DISTRI` (`varchar`): District name * `varchar`): District name * `NO` (`long`): Number * `AREA` (`varchar`): Area * `COUNCIL_NAME` (`varchar`): Name councilor (`varchar`): Source * `DATE_CREAT` (`date`): Date of creation * `DATE_MODIF` (`date`): Date of modification * `USER_MODIF` (`varchar`): Modified by For more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Electoral division of the 2017 election. **Collection context** Creation of districts in collaboration with the legal services and electoral data of the Chief Electoral Officer (DGE). Balancing of districts according to anthropogenic constraints and number of voters. **Collection method** Computer-aided mapping. **Attributes** * `ID_SEC_DIS` (`long`): Identifier * `NAME_DISTRI` (`varchar`): District name * `NO` (`long`): District number * `AREA` (`AREA` (`varchar`): Area * `varchar`): Area * `COUNCIL` (`varchar`): Area * `_DATE` (`varchar`): Area * `_DATE` (`varchar`): Area * `_DATE` (`varchar`): Area * `_DATE` CREAT` (`date`): Creation date * `DATE_MODIF` (`date`): Date modified * `USER_MODIF` (`varchar`): Modified by For more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This dataset contains results from an eelgrass classification for Bouctouche Bay, New Brunswick. True colour aerial photography at 57 centimetre resolution was collected on September 2, 2009 by Nortek Resources of Thorburn, Nova Scotia (http://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 688 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: 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 83.7% 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 187 sites that were within the classification area, 131 were correct, 51 were "one-off", and 5 were incorrect [(131 + (51/2))/ 187 = 0.837].

The hydrographic 1991 to 2020 climatology for the Maritimes region Atlantic Zone Monitoring Program core transects, Cabot Strait, Louisbourg, Halifax, Browns Bank, and Northeast Channel, are calculated to support annual reporting on seasonal variability. Details on data coverage for these transects and ancillary transects occupied since the inception of the program are provided. Comparisons with the previous climatology period, years 1981 to 2010, are summarized when possible. Cite this data as: Layton, C. Data of: Maritimes Region Atlantic Zone Monitoring Program 1991 to 2020 Hydrographic Transect Climatology. Published: August 2025. Ocean Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/5f9c5d65-3ce1-4bdd-8b43-34086620d1e3

A benthic imagery survey was conducted along the Eastern Scotian Slope in June 2018 to collect data in support of a Strategic Program for Ecosystem-Based Research and Advice project to evaluate the effectiveness of the Lophelia Coral Conservation Area and identify new areas of importance for benthic species that may qualify for protection under Fisheries and Oceans Canada’s 2009 Policy for Managing the Impact of Fishing on Sensitive Benthic Areas. Linear video and photographic transects from ~200 to 1000 m depth were collected at 10 stations between the Gully Marine Protected Area and the Lophelia Coral Conservation Area using the video and photographic camera system Campod and the ‘4K Camera’ drop camera system. Here we present a quantitative assessment of the corals and sponges observed at each of these 10 stations. Patterns in distribution by transect and depth are presented, as well as the relationship between coral distribution and groundfish fishing effort. We highlight the importance of the slope outside the canyons for the distribution of corals and sponges, where nearly 25 taxa were recorded between 167 – 970 m depth. Diversity and abundance appeared to show a west-to-east gradient across the study area, being highest on those stations adjacent to the Lophelia Coral Conservation Area. Groundfish fishing activity overlapped the distribution of corals and sponges in some parts of the study area, particularly between 200 and 500 m where the large branching corals Paragorgia arborea and Primnoa resedaeformis were observed, and also suggested that fishing may have taken place within the boundaries of the Lophelia Coral Conservation Area since its implementation in 2004. An extension of the boundaries of this closure may ensure its continued effectiveness and provide protection for the diverse and abundant coral and sponge communities that reside beyond its boundaries. Cite this data as: Beazley, Lindsay; Lirette, Camille; Guijarro, Javier (2019). Characterization of the Corals and Sponges of the Eastern Scotian Slope from a Benthic Imagery Survey. Published July 2023. Ocean Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/b6567b77-4fda-4fcf-b059-fcfeb4dcc2fb