AndreaBozzo/ceres-open-data-index huggingface dataset:
Fetch and relative wave exposure indices for the coastal zone of the Newfoundland and Labrador Shelves bioregion

A relative exposure index (REI), unweighted fetch, effective fetch, and other fetch-based indices (i.e., sum, minimum) were calculated for the Newfoundland and Labrador (NL) Shelves bioregion. Due to the extensive coastline of the study region, this analysis was conducted for a 5km buffered region along the coast at a spatial resolution of 250m. Detailed methods on the selection of input points for the NL bioregion are included below.

Methods
Preprocessing and input point selection:
Land boundary files were obtained for Eastern Canada and the Canadian Arctic (NrCan 2017) at a scale of 1:50,000 as well as for Saint Pierre and Miquelon (Hijmans 2015), and the New England states (GADM 2012) however the scale at which these layers were produced is unknown. Land boundary files were merged into a single land polygon layer and watercourses reaching for in-land and/or above sea level were clipped from this polygon layer (Greyson 2021). A 5km buffer was generated around the NL provincial boundary. This buffer was then clipped by all land polygons to remove areas overlapping land polygons within the study area. All buffer segments intersecting the NAFO divisions within the NL bioregion were selected and the Union tool in ArcGIS Pro (v. 2.7.2) was used to fill-in gaps within the buffered area, creating a more continuous polygon. The buffered layer was then dissolved, and the NL provincial boundary polygon was erased from the buffered layer to create the study area polygon. A 250m fishnet was created and clipped to the study area (5km buffer layer) and the feature to point tool was used (with the “inside parameter checked”) to convert this grid into a point layer (approx. 1,000,000 points). The spatial resolution for all subsequent analyses was matched to the fishnet grid at 250m.

References
GADM database of Global Administrative Areas (2012). Global Administrative Areas, version 2.0. (accessed 2 December 2020). www.gadm.org

Greyson, P (2021) Land boundary file for Eastern Canada, the Canadian Arctic, the New England States and Saint Pierre and Miquelon. [shapefile]. Unpublished data.

Hijmans, R. and University of California, Berkeley, Museum of Vertebrate Zoology. (2015). First-level Administrative Divisions, Saint Pierre and Miquelon, 2015. UC Berkeley, Museum of Vertebrate Zoology. Available at: http://purl.stanford.edu/bz573nv9230

Natural Resources Canada (2017) Administrative Boundaries in Canada - CanVec Series - Administrative Features - Open Government Portal. (accessed 2 December 2020). https://open.canada.ca/data/en/dataset/306e5004-534b-4110-9feb-58e3a5c3fd97.

Organization: Fisheries and Oceans Canada | Pêches et Océans Canada
Vessel Density Mapping of 2018 AIS Data in the Northwest Atlantic

The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning. In 2023 the process was applied to the years 2013 through to 2022 and were made available using the same processes that were applied to the original 2019 datasets.

Organization: Fisheries and Oceans Canada | Pêches et Océans Canada
Port of Saint John intertidal water level and temperature (2020-2022)

The Coastal Environmental Baseline Program is a multi-year Fisheries and Oceans Canada initiative designed to work with Indigenous and local communities and other key parties to collect coastal environmental data at six unique sites across Canada, including the Port of Saint John (New Brunswick). The overall purpose of the Program is to collect localized ecological data in these areas to build a better baseline understanding of marine ecological conditions. The Maritimes region has developed a physical oceanography project to align with the interests and data needs of local communities and stakeholders. Starting in 2020, data describing the depth and temperature of tidal flood waters have been collected at a series of intertidal locations in the Port of Saint John vicinity, to characterize high marsh flood tides and water level fluctuations near the Courtenay Bay causeway.  Inundation by marine waters in high marsh areas is typically limited to spring tides, while the water level in Courtenay Bay is influenced by anthropogenic infrastructure (e.g. causeway, tide gates). The resulting data can enhance studies ranging from coastal vulnerability and resilience to salt marsh morphodynamics, by quantifying the frequency, amplitude and duration of tidal inundation.  Data were collected using Hobo U20-001-02 water level loggers, which were deployed inside stilling wells constructed from 15-inch lengths of perforated ABS pipe (2¼” diameter). The stilling wells were sunk to a depth of 6 inches below ground, with the water level logger suspended inside the well from a bolt near the top. The logger was positioned with a rigid wire such that the measurement volume was equal to ground level, while allowing the logger to be easily removed for downloading and precisely replaced at the measurement location. Loggers were accessed 2-3 times per year to download, and were removed during the winter months. Data have been compensated for changing atmospheric pressure using the Barometric Compensation Tool in HobowarePro (version 3.7.21) and barometric pressure data collected from a dry location during the study period.  The resulting water level is reported in meters, and is relative to the elevation of the water level logger (e.g. above ground level).

Citation: Port of Saint John intertidal water level and temperature (2020-2022). Coastal Environmental Baseline Program. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B.  XX-XX-2024

Organization: Fisheries and Oceans Canada | Pêches et Océans Canada
Pelagic Shark Satellite Tag data - Porbeagle

The porbeagle shark (Lamna nasus),  is a species found in Atlantic Canadian waters which is encountered in commercial and recreational fisheries. Pop-up Satellite Archival Tags (PSAT) from Wildlife Computers were applied to porbeagle sharks from 2005 to 2021 to collect data on depth (pressure), temperature and ambient light level (for position estimation). Deployments were conducted in Canada and the Faroe Islands on commercial, recreational and scientific charters, typically in summer and fall but some over winter when the porbeagle commercial fishery was active in Canada. A variety of tag models were deployed: PAT 4 (n=1), Mk10 (N=41), and MiniPAT (N=15) and 51 of 57 tags reported. One individual shark was recaptured and the physical tag was returned. The porbeagle sharks tagged ranged in size from 76 cm to 249 cm Fork Length (curved); 42 were female, 15 were male. Time at liberty ranged from 4 – 356 days and 14 tags remained on for the programmed duration. Raw data transmitted from the PSAT’s after release was processed through Wildlife Computers software (GPE3) to get summary files, assuming a maximum swimming speed of 2m/s, NOAA OI SST V2 High Resolution data set for SST reference and ETOPO1-Bedrock dataset for bathymetry reference. The maximum likelihood position estimates are available in .csv and .kmz format and depth and temperature profiles are also in .csv format. Other tag outputs as well as metadata from the deployments can be obtained upon request from: warren.joyce@dfo-mpo.gc.ca or heather.bowlby@dfo-mpo.gc.ca.

Organization: Fisheries and Oceans Canada | Pêches et Océans Canada
Eastern Canada Marine Spatial Planning Areas

Three marine spatial planning areas are delineated in Eastern Canada to define the spatial extents of marine spatial plans being led by Fisheries and Oceans Canada (DFO): the Estuary and Gulf of St. Lawrence (EGSL), the Newfoundland and Labrador (NL) Shelves, and the Scotian Shelf and Bay of Fundy. The EGSL planning area includes the St. Lawrence River estuary from northeast of Île d’Orléans, Quebec, the Saguenay River estuary, and the entire Gulf of St. Lawrence as far north as the Strait of Belle Isle (NAFO Divisions 4RST). The NL Shelves planning area includes areas off southern, eastern and northern Newfoundland, part of the Churchill River and Lake Melville, as well as off the Labrador coast to the extent of the exclusive economic zone (EEZ) (NAFO Divisions 2GHJ and 3KLNOP). The Scotian Shelf and Bay of Fundy planning area includes DFO Maritimes’ administrative region off the Atlantic coast of Nova Scotia to the extent of the EEZ, the Bay of Fundy and the Canadian portion of the Gulf of Maine (NAFO Divisions 4VWX, 5Ze, and the Canadian portion of 5Y). The French EEZ for St. Pierre et Miquelon is excluded from the three planning areas. These planning areas are derived from Federal Marine Bioregions (https://open.canada.ca/data/en/dataset/23eb8b56-dac8-4efc-be7c-b8fa11ba62e9) that were developed by a Canadian Science Advisory Secretariat process using ecosystem-based management principles to define 13 ecological bioregions that have informed but not directed DFO implementation of marine spatial planning.

Organization: Fisheries and Oceans Canada | Pêches et Océans Canada
Harbor seal distribution and abundance in the Estuary and the Gulf of St. Lawrence, including Saguenay River

Most of the data were collected during aerial surveys carried out at low tides during June and August 1994-1997, 2000 and 2001. June and August are respectively pupping and moulting seasons, when the haulout sites are intensively used by seals. Features in this layer show the Harbour seal distribution and the mean abundance for all aerial surveys (tables 3 and 5, figures 3 and 5 from Robillard et al. 2005). In the estuary, areas of high abundance have more than 30 individuals, areas of medium abundance have between 10 and 30 individuals and areas of low abundance have fewer than 10 individuals. In the Gulf, areas of high abundance have more than 50 individuals and areas of medium to low abundance have fewer than 50 individuals. Unpublished data obtained from Parks Canada and Sepaq were also used to identify important haulout areas in the Saguenay Fjord sector and in Pointe-aux-Vaches tidal flat sectors, which have been categorized in this dataset as high abundance areas.

Data are valid only during summer (except for the Pointe-aux-Vaches flats identified as mainly frequented in autumn by Parc Canada), because spring and fall distributions of the Harbour seal are unknown. Data shown in the Estuary and the Gulf of St. Lawrence are a picture of the situation in 2005 because it is the most recent mapping available for this specie. The distribution of the Harbour seal is non-uniform among the different concentration areas but is similar between June and August. However, Harbour seals tend to decrease their presence along the south shore and the Lower Estuary in August to the benefit of the Saguenay River colonies. Abundance classes are arbitrary but fit with the published results of haulout site utilization from Robillard et al. (2005).

Data sources :

Parks Canada. 2021. Personal communication. Harbor seal monitoring data on the Pointe-aux-Vaches tidal flat. 

Parks Canada and SÉPAQ, 2020. Données du suivi du phoque commun dans le fjord du Saguenay. Unpublished data.

Robillard, A., V. Lesage, and M.O. Hammill. 2005. Distribution and abundance of harbour seals (Phoca vitulina concolor) and grey seals (Halichoerus grypus) in the Estuary and Gulf of St. Lawrence, 1994–2001. Can. Tech. Rep. Fish. Aquat. Sci. 2613: 152 pp.

Organization: Fisheries and Oceans Canada | Pêches et Océans Canada
Water Temperature and Level Monitoring in Newfoundland and Labrador Rivers

Water temperature and water level are significant environmental factors affecting ecology of anadromous fish. Large-scale freshwater monitoring networks remain sparse, yet environmental protocols rely heavily on water temperature and water levels to assist decision making on river closures. Our river monitoring project in Newfoundland and Labrador provides river water temperature and river water level for salmon rivers across the province. 72 temperature loggers are deployed across 24 river systems in Newfoundland and Labrador. Temperature loggers are deployed in approximately 30 cm of water and remain in river year-round. Loggers consist of Onset level loggers, tidbit loggers, and pendants or Innovasea minilogs. Some loggers are deployed in duplicate at locations to provide data redundancy in event of equipment loss or failure. Equipment is monitored throughout the season to ensure proper placement in water columns, with downloads taking place during monitoring trips.

Organization: Fisheries and Oceans Canada | Pêches et Océans Canada
Rocky Mountain Ridged Mussel Density Survey Data

Rocky Mountain Ridged Mussels (Gonidea angulata) are listed under the Species at Risk Act (SARA) as a species of special concern and have been re-assessed by the Committee on the Status of Endangered Wildlife in Canada (COSEWIC) as endangered. These fresh water mussels are only found in Canada in the Okanagan Valley of British Columbia. As a continuation of previous work and to inform future assessments and conservation efforts within this geographic range, seven easily accessible sites known to have high densities of G. angulata were selected as prospective index sites to monitor relative abundance (i.e. mussel bed density) using snorkel surveys. For lake sites, a two-stage sampling design was conducted using transects and quadrats. For the river site, cumulative counts from sides of the river were collected. Some sites were sampled only once while others were sampled multiple times from 2011-2016. Mean mussel densities across all surveys ranged from 0.19 to 2.86 mussels/m2, corresponding to site abundance estimates ranging from 102 to 3,276 mussels. Depth measurements were also taken at most sites to inform the Fish Water Management Tool of the Okanagan Water Management Board.

Organization: Fisheries and Oceans Canada | Pêches et Océans Canada
Vessel Density Mapping of 2021 AIS Data in the Northwest Atlantic

The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning. In 2023 the process was applied to the years 2013 through to 2022 and were made available using the same processes that were applied to the original 2019 datasets.

Organization: Fisheries and Oceans Canada | Pêches et Océans Canada
Important Areas for Geography in Pacific North Coast Integrated Management Area

This layer details Important Areas (IAs) relevant to important geographic features in the Pacific North Coast Integrated Management Area (PNCIMA). This data was mapped to inform the selection of marine Ecologically and Biologically Significant Areas (EBSA). Experts have indicated that these areas are relevant based upon their high ranking in one or more of three criteria (Uniqueness, Aggregation, and Fitness Consequences). The distribution of IAs within ecoregions is used in the designation of EBSAs.

Canada’s Oceans Act provides the legislative framework for an integrated ecosystem approach to management in Canadian oceans, particularly in areas considered ecologically or biologically significant. DFO has developed general guidance for the identification of ecologically or biologically significant areas. The criteria for defining such areas include uniqueness, aggregation, fitness consequences, resilience, and naturalness. This science advisory process identifies proposed EBSAs in Canadian Pacific marine waters, specifically in the Strait of Georgia (SOG), along the west coast of Vancouver Island (WCVI, southern shelf ecoregion), and in the Pacific North Coast Integrated Management Area (PNCIMA, northern shelf ecoregion).

Initial assessment of IA's in PNCIMA was carried out in September 2004 to March 2005 with spatial data collection coordinated by Cathryn Clarke. Subsequent efforts in WCVI and SOG were conducted in 2009, and may have used different scientific advisors, temporal extents, data, and assessment methods. WCVI and SOG IA assessment in some cases revisits data collected for PNCIMA, but should be treated as a separate effort.

Other datasets in this series detail IAs for birds, cetaceans, coral and sponges, fish, invertebrates, and other vertebrates.

Though data collection is considered complete, the emergence of significant new data may merit revisiting of IA's on a case by case basis.

Organization: Fisheries and Oceans Canada | Pêches et Océans Canada
Scientific Survey of the Northern Contingent Atlantic Mackerel (Scomber scombrus)

Since 1979, Fisheries and Oceans Canada has conducted near-annual mackerel egg surveys in the southern Gulf of St. Lawrence using a standardized methodology. This survey typically takes place over approximately 10 days in June and aims to quantify mackerel eggs, thereby contributing to the stock assessment of the northern contingent. Sampling is conducted at 66 fixed stations arranged in a predefined grid (see included image for station locations and names). Additional stations—following the same sampling methodology—have also been surveyed off of southwestern Newfoundland, eastern Cape Breton and south of Prince Edward Island, as well as in other regions. 

The mackerel survey is often coordinated with the Atlantic Zone Monitoring Program (AZMP) for the Quebec region, which takes place around the same time using the same research vessel and similar equipment. While these two surveys are distinct, they are coordinated to complement each other.

At each station, a tow using 61 cm bongo nets (333 µm mesh size) is towed following a saw-tooth profile through the upper 50 m of the water column. Tows last approximately 10 minutes at a speed of roughly 2.5 knots. These tows target mackerel eggs and larvae but collect other species and plankton stages. The taxonomic identification and classification of the developmental stages of the samples are then carried out in the laboratory. The number of taxon counted varies between survey years, based on new species encountered and identified. Egg development stages (I–V) are recorded only for mackerel.

This dataset includes the records of all ichthyoplankton species sampled during the survey. It includes information for each sampling station, including gear specifications, species identifications, and life history stages. Each unique combination of COLLECTOR_STATION_NAME, COLLECTOR_EVENT_ID,  START_DATE, START_LAT and START_LON  represents a single sampling event, and all rows sharing this combination correspond to individual samples collected during that event.

The dataset covers the period from 1983 to 2024 and is updated annually as new data become available.

It is important to note that prior to 2023, nearly all species were systematically counted, with only a few exceptions where presence alone was recorded. However, since 2023, data collection has shifted to presence/absence for all species, except capelin larvae, herring larvae, and mackerel eggs and larvae, which continue to be counted.

Note – raw data use with caution – please contact the author if you have any questions.

The data processing methods used for the stock assessment are described in detail in the following publication:
Lehoux, C., Van Beveren, E., and Plourde, S. 2024. Results of the Mackerel (Scomber scombrus L.) Egg Surveys Conducted in the Southern Gulf of St Lawrence from 1979 to 2022. DFO Can. Sci. Advis. Sec. Res. Doc. 2024/037. v + 47 p.
https://www.dfo-mpo.gc.ca/csas-sccs/Publications/ResDocs-DocRech/2024/2024_037-eng.html

Organization: Fisheries and Oceans Canada | Pêches et Océans Canada
Seasonal salinity climatology of the Canadian Pacific Exclusive Economic Zone from BCCM model (1993-2020)

Description:
Seasonal mean salinity from the British Columbia continental margin model (BCCM) were averaged over the 1993 to 2020 period to create seasonal mean climatology of the Canadian Pacific Exclusive Economic Zone.

Methods:
Salinities at up to forty-six linearly interpolated vertical levels from surface to 2400 m and at the sea bottom are included. Spring months were defined as April to June, summer months were defined as July to September, fall months were defined as October to December, and winter months were defined as January to March. The data available here contain raster layers of seasonal salinity climatology for the Canadian Pacific Exclusive Economic Zone at 3 km spatial resolution and 47 vertical levels.

Uncertainties:
Model results have been extensively evaluated against observations (e.g. altimetry, CTD and nutrient profiles, observed geostrophic currents), which showed the model can reproduce with reasonable accuracy the main oceanographic features of the region including salient features of the seasonal cycle and the vertical and cross-shore gradient of water properties. However, the model resolution is too coarse to allow for an adequate representation of inlets, nearshore areas, and the Strait of Georgia.

Organization: Fisheries and Oceans Canada | Pêches et Océans Canada
Harp seal distribution in the Gulf of St. Lawrence and Atlantic Ocean

This  layer represents the Harp seal (Pagophilus groenlandicus) distribution. During the summer, the Harp seal is in Arctic and it migrates south of its distribution range during the fall. It migrates back to the Arctic after the moulting period which occurs in April and May.

Reference:

DFO. 2020. 2019 Status of Northwest Atlantic Harp Seals, Pagophilus groenlandicus. DFO Can. Sci. Advis. Sec. Sci. Advis. Rep. 2020/020.

Organization: Fisheries and Oceans Canada | Pêches et Océans Canada