oih/oih-wis2 huggingface dataset:
Establishing nekton biodiversity baseline for estuarine environments in southwestern New Brunswick

Keywords: crustace, important-habitat, other, poisson, sampling, inventaire-poisson, fishabundanceanddistribution, bar-raye, echantillonnage, fish, production, striped-bass, knowledge-improvement, autre, climate-change, oceans, benthic-macrofauna, natural-environments-of-interest, abondance-et-distribution-de-poissons, milieux-naturels-dinteret, ckan, crustacean, fish-inventory, changement-climatique, especes-envahissante, invertebrateabundanceanddistribution, abondance-et-distribution-dinvertebres, coastal-zone, amelioration-des-connaissances, macrofaune-benthique, invasive-species, zone-cotiere, habitats-important
Temporal coverage: 2019-05-01/2021-10-31

The Musquash Estuary Marine Protected Area in southwestern New Brunswick was first protected in 2006 as it was identified as the largest ecologically pristine estuary ecosystem in the Bay of Fundy. 

Ten sites within the estuary and three reference sites outside the protected area were sampled through fyke netting. Six of those sites, four inside and two outside the protected area, were also sampled using seine nets. Sites were sampled on a monthly basis, May through October, from 2019 to 2021, resulting in three seasons of data. Sampling occurred over two days and at low tide. The first day, a seine was conducted and the fyke net was deployed. The fyke net was retrieved the second day following two complete tidal cycles. Fish and invertebrates caught in the fyke and seine were measured in length (cm), weight (g), and condition. Condition was measured on a scale from 1 to 3, where 3 indicated good condition, 2 indicated a lesser condition caused by parasites or abrasions, and 1 indicated the individual's condition was so degraded that it may not survive. 

This project aims to create a baseline dataset of fish and macroinvertebrates from which to assess any future changes and monitor the chronic impacts of climate change. It is part of Fisheries and Oceans Canada's Coastal Environmental Baseline Program.
GPS locations of Northern Gannets season 2012

Keywords: production, ckan
Temporal coverage: 2012-07-08/2012-08-12

Since 2012, the [Laboratoire d'ornithologie marine de Rimouski (LOMR)](https://www.facebook.com/LOMRimouski) has implemented an annual monitoring program of the feeding behaviour of gannets (Morus bassanus) nesting in Bonaventure Island and Percé Rock National Park (more specifically on Bonaventure Island). The LOMR is directed by Magella Guillemette (professor at the Université du Québec à Rimouski) in collaboration with David Pelletier (professor at the Cégep de Rimouski). Several dozen college and university students (undergraduate, graduate and postgraduate) participated in collecting these data.

The data in this dataset is from 2012. On the SLGO catalogue, you will find [datasets up to 2017](https://catalogue.ogsl.ca/fr/dataset/?q=fou+de+bassan+pelletier). More recent data can be requested from LOMR by contacting the authors of the data. 

The locations were recorded using GPS data loggers, programmed at a frequency of 10 minutes and attached to the bird's tails with Tesa brand marine grade white tape.
Long-term Monitoring of Shoreline Debris in the Placentia Bay Area, Newfoundland (2018-2020)

Keywords: coastal-characterization, macroalgue, zone-cotiere, coastal-zone, debris-marins, caracterisation-des-rives, ckan, pollution-cotiere, coastal-pollution, marinedebris, oceans, production, sediment, macroalgae
Temporal coverage: 2018-05-10/2020-02-05

This data was collected between 2018 and 2020 at 8 sample sites around Placentia Bay and consists of two data types: (1) Shoreline surface debris (SSD), and (2) Shoreline buried debris (SBD). With the exception of two sample sites, which were only visited once, in the first year of monitoring, frequency of sampling varied between daily, monthly or seasonally depending on the sample site, and was reduced to half-effort sampling in year 2.  


In an effort to understand the importance of shoreline substrate and environmental factors at play on rocky shorelines, sediment type, stranded seaweed (wrack) cover, and the presence of snow and ice were recorded and carefully monitored in both datasets. SSD surveys identified debris visible on the shoreline surface from standing height, down to a lower size limit of 2cm. SBD surveys employed sample quadrats to remove sediment and wrack samples from the shoreline, down to a depth of ~5cm. Marine debris down to a lower size limit of 1mm was extracted from these samples using a combination of visual separation and seawater floatation protocols. For SSD data, debris abundance, density, and source category information were recorded. For SBD data, debris abundance, density, source category, size, and colour information were recorded.


This project is part of Fisheries and Oceans Canada's Coastal Environmental Baseline Program.
Utilizing Benthic Video Footage for Detecting Large Debris on the Seafloor in Placentia Bay, Newfoundland (2019)

Keywords: coastal-zone, debris-marins, caracterisation-des-rives, marinedebris, oceans, coastal-characterization, production, water-quality, zone-cotiere, qualite-eau, coastal-pollution, ckan, pollution-cotiere
Temporal coverage: 2019-07-10/2019-11-20

This data was collected in 2019 at three locations in Placentia Bay by another research group at Memorial University, as a part of the Coastal Environmental Baseline Program Initiative under the Oceans Protection Plan of Fisheries and Oceans Canada (DFO). 


Video footage from drop cameras used for ground truthing was shared with the Placentia Bay Ocean Debris Survey for the purpose of analyzing for macro-debris present on the seafloor.  Average field of view (FOV) was estimated for each individual video and GPS coordinates were used to estimate video transect lengths in order to determine debris density. When identified, debris was categorized according to its size, material, source category, and interaction with surround environment.
Microplastics in surface water samples from Placentia Bay, Newfoundland (2018-2019)

Keywords: marinedebris, oceans, coastal-zone, debris-marins, caracterisation-des-rives, zone-cotiere, qualite-eau, coastal-pollution, ckan, pollution-cotiere, coastal-characterization, production, water-quality
Temporal coverage: 2018-07-23/2019-10-30

This data was collected between 2018 and 2019 at 7 sites around Placentia Bay. Two of these sites were subject to repeat sampling. Surface water samples were collected in collaboration with local fish harvesters, who aided the team in towing a surface trawl (the Low-Tech Aquatic Debris Instrument, or LADI, a DIY citizen-science technology developed by the Civic Laboratory for Environmental Action Research) equipped with a plankton net for the filtering of surface waters for microplastics. 


Microplastic samples were analysed visually under a stereomicroscope for the identification and characterization of microplastics down to a lower size limit of 1mm.


This project is part of Fisheries and Oceans Canada's Coastal Environmental Baseline Program.
Commercial fisheries intensity, Driver of Environmental Change: eDrivers Project for the St.Lawrence System

Keywords: production, ckan
Temporal coverage: 2010-01-01/2015-12-31

The impacts of fisheries activities in the St. Lawrence are evaluated using DFO fisheries logbooks program. While logbooks are not mandatory for all fisheries in the St. Lawrence, they still provide a very thorough overview of the spatial distribution and intensity of fishing activities in the St. Lawrence. The data we used spans 6 years from 2010 to 2015 and details 218323 fishing events (approximately 36387 fishing events per year). There were 31 targeted species and a total of 53 caught species in the dataset.

Fishing activities are performed using a variety of gear types: trap, trawl, dredge, driftnet, hand line, longline, scuba diving, purse seine, seine, beach seine and jig fishing. Intensity of fishing activities was divided among gear types and based on their respective types of environmental impacts. For example, traps and trawls have very different effects on a system. Gear classification was done using the classification presented in [Halpern et al. (2008)](https://www.science.org/doi/10.1126/science.1149345) and [Halpern et al. (2015a)](https://knb.ecoinformatics.org/view/doi:10.5063/F1S180FS) and is broken down into 5 distinct classes: demersal destructive (DD), demersal non-destructive low-bycatch (DNL), demersal non-destructive high-bycatch (DNH), pelagic low-bycatch (PLB) and pelagic high-bycatch (PHB). This categorization therefore divides the fisheries data into 5 distinct driver layers characterizing fishing activities. Gear types can also be further classified into fixed or mobile engines based on their mobility. We used these two mobility classes to generate a buffer of impact around each fishing activity coordinates to consider potential spatial uncertainty associated with locations and the fact that mobile engines can be tracted over several kilometers during fishing activities and that we do not have the beginning and end points of mobile fishing events. Buffer sizes for fixed and mobile engine was of 200 and 2000 meters, respectively. To characterize the intensity of fishing activities we used a biomass yield density index. We multiplied the total annual biomass captured in each grid cell, regardless of species, by the proportion of fishing area in each grid cell.

It is possible to consult the scientific report of the **eDrivers** project: [Characterizing Exposure to and Sharing Knowledge of Drivers of Environmental Change in the St. Lawrence System in Canada](https://www.frontiersin.org/articles/10.3389/fmars .2020.00383/full) and the [additional data](https://www.frontiersin.org/articles/10.3389/fmars.2020.00383/full#supplementary-material). It is possible to consult the application [eDrivers](https://catalogue.ogsl.ca/dataset/ca-cioos_7c51ad5f-c2a9-4f4a-a78c-0b652e630825).
Characterization of benthic macrofauna in rocky sub-littoral habitat of the Haute-Côte-Nord and Manicouagan

Keywords: coastal-zone, macrofaune-benthique, autre, oceans, physico-chimie, benthic-macrofauna, temperature-de-surface, other, sampling, physical-chemical, caracterisation-des-habitats, echantillonnage, production, oxygen, oxygene, zone-cotiere, seasurfacetemperature, ckan, habitat-characterization
Temporal coverage: 2018-09-01T00:00:00

This database was produced by Explos-Nature. It brings together data on the abundance and distribution of benthic macrofauna, as well as environmental characteristics, in rocky sublittoral habitats of the Haute-Côte-Nord and the Manicouagan. Data were collected between Tadoussac and Pointe-des-Monts, in scuba diving using transects and photo-quadrats. The sampling was carried out between September 2018 and September 2021.


This project is part of Fisheries and Oceans Canada's Coastal Environmental Baseline Program.
GPS locations of Northern Gannets season 2017

Keywords: ckan, production
Temporal coverage: 2017-06-02/2017-08-08

Since 2012, the [Laboratoire d'ornithologie marine de Rimouski (LOMR)](https://www.facebook.com/LOMRimouski) has implemented an annual monitoring program of the feeding behaviour of gannets (Morus bassanus) nesting in Bonaventure Island and Percé Rock National Park (more specifically on Bonaventure Island). The LOMR is directed by Magella Guillemette (professor at the Université du Québec à Rimouski) in collaboration with David Pelletier (professor at the Cégep de Rimouski). Several dozen college and university students (undergraduate, graduate and postgraduate) participated in collecting these data.

The data in this dataset is from 2017. On the SLGO catalogue, you will find [datasets starting 2012](https://catalogue.ogsl.ca/fr/dataset/?q=fou+de+bassan+pelletier). More recent data can be requested from LOMR by contacting the authors of the data. 

The locations were recorded using GPS data loggers, programmed at a frequency of 10 minutes and attached to the bird's tails with Tesa brand marine grade white tape.
Some health parameters in two populations of ringed seals in eastern Nunavut

Keywords: other, serologie, serology, toxicologie, ckan, phoques-anneles, ringed-seal, production, autre, metals, metaux, oceans, pathogens, toxicology, pathogenes
Temporal coverage: 2016-05-01/2018-09-01

The ringed seal (Pusa hispida) is a very important wildlife resource for many Inuit communities in Canada. Through funding from Fisheries and Oceans Canada’s Coastal Environmental Baseline Program and from the Nunavut Research Institute in partnership with Irving Shipbuilding Inc., information on various parameters of animal health was gathered between 2016 and 2018 in two populations of ringed seals (Eclipse Sound and Frobisher Bay) in eastern Nunavut. In collaboration with local Inuit hunters, tissue samples were collected to determine the concentrations of some essential and non-essential trace elements (including cadmium and mercury). Blood samples were also collected to determine the presence of antibodies against some pathogenic microorganisms of potential public health significance. This information will contribute to ensuring the continuous and safe use of ringed seals as a highly nutritious source of food for Inuit communities.

Currently, this dataset only contains the occurrence data of ringed seals in the targeted regions as well as some measurements taken on the specimens, such as height, weight, etc. Full data will be made available when the scientific paper is published.

This project is part of the Coastal Environmental Baseline Program Initiative under the Oceans Protection Plan of Fisheries and Oceans Canada.
WISE-Man Project (WaterSat Imaging Spectrometer Experiment), characterization of shallow inland and coastal waters: bathymetry

Keywords: ckan, production
Temporal coverage: 2019-08-17/2019-08-25

This dataset includes depths measured from a boat, using multi-beam and single-beam echo sounders. It is also possible to consult the other datasets on different themes related to the WISE-man project:

- [Optical data](https://catalogue.ogsl.ca/en/dataset/ca-cioos_d624c859-5b72-4ee9-a832-d532582b1d3f)

- [Biogeochemical data](https://catalogue.ogsl.ca/en/dataset/ca-cioos_dbc63b41-b1ab-46be-a1a2-388d07c70cbb)

- [Data on the intertidal environment](https://catalogue.ogsl.ca/en/dataset/a90987aa-61a3-4c0a-900f-3c97dfb2cca1)

The WaterSat Imaging Spectrometer Experiment (WISE) is developed for optically shallow inland and coastal waters assessment. The WISE-Man project objective was to demonstrate the potential of hyperspectral imagery for mapping bathymetry, water column quality (or inherent optical properties) and retrieve bottom properties; this in order to respond to the pressing needs of science (e.g. ecology, geomorphology, coastal risk), resource management and defense operation. Within the framework of WISE-Man, an intensive fieldwork campaign was conducted in the Manicouagan; Baie-Comeau region in August 2019.

This project is part of the Coastal Environmental Baseline Program under the Oceans Protection Plan of Fisheries and Oceans Canada.
Dinoflagellate Communities in the Ports of Churchill (MB), Deception Bay (QC), Iqaluit (NU) and Milne Inlet (NU)

Keywords: canadian-arctic, dinofalgelles, production, seasurfacesalinity, ckan, toxic-species, dinoflagellates, phytoplanktonbiomassanddiversity, ballast-water, salinite-de-surface, seasurfacetemperature, arctique-canadien, invasive-species, other, plancton, plankton, non-indigenious-species, especes-non-indigenes, biomasse-et-diversite-de-phytoplancton, especes-toxiques, algues-toxiques, temperature-de-surface, autre, eaux-de-ballast, hamrful-algae, oceans, especes-envahissantes
Temporal coverage: 2007-08-16/2019-08-07

The data were collected during two research projects: 


- Development of community-based monitoring for aquatic invasive species in the Canadian Arctic - preparing for increased shipping related to resource development and climate change; 

- Diversity of pelagic primary producers in coastal habitats and the potential for harmful blooms in Eastern Canadian Arctic, with a focus near Iqaluit, Nunavut. 


These data are the abundance, richness and diversity of dinoflagellate communities in Canadian Arctic seaports to provide baseline data and to verify the presence of potential non-indigenous species and harmful taxa. These data can be used as a reference source for monitoring the introduction of potentially non-native species introduced into Arctic ports where shipping activities are high.


**SAMPLING**


Dinoflagellate samples were collected using a 20 μm (30 cm diameter) Nitex® plankton net during August in Churchill (MB) (2007 and 2015), in Deception Bay (QC ) (2016), in Iqaluit (NU) (2015 and 2019) and in Milne Inlet (2017). Samples were collected from 1 m of the surface to 1 m above the bottom.


*PREPARATION :* Samples were stored in 4% formaldehyde. Sample preparation and counting were performed using the Utermöhl method.


*OBSERVATION :* Samples were observed using an inverted microscope (NIKON Eclipse TE-2000-U) under a magnification of 200x.


*ABUNDANCE :* The calculation of the abundance of dinoflagellates (cell / liter) was carried out as follows: Number of cells X Volume of the bottle / Volume of the Utermöhl chamber / (pi X Radius^2 X Depth) X 1000


** ENVIRONMENTAL VARIABLES **


Environmental data were measured using a CTD and a Secchi disk. The time between sea ice melt and sampling was calculated by subtracting the sampling day from the breakup dates (ice concentration <1/10) which were extracted from the Canadian Ice Service records.


For further information, please consult the following paper: Dhifallah F, Rochon A, Simard N, McKindsey CW, Gosselin M, Howland KL. 2022. Dinoflagellate communities in high-risk Canadian Arctic ports. Estuarine, Coastal and Shelf Science 266:107731


This project is part of the Coastal Environmental Baseline Program Initiative under the Oceans Protection Plan of Fisheries and Oceans Canada.
Inorganic Pollution, Driver of Environmental Change: eDrivers Project for the St. Lawrence System

Keywords: production, ckan
Temporal coverage: 2000-01-01/2001-12-31

The data used to characterize inorganic pollution come from the global cumulative impacts assessment on habitats and available on the [NCEAS online data repository](https://knb.ecoinformatics.org/view/doi:10.5063/F1S180FS).

Inorganic pollution was modeled using impervious surface area (i.e. artificial surfaces such as paved roads) under the assumption that most of this pollution source comes from urban runoff. Inorganic pollution originating from point-sources or in areas lacking paved roads is therefore not captured by this layer. The data obtained was aggregated at the watershed scale.

It is possible to consult the scientific report of the **eDrivers** project: [**Characterizing Exposure to and Sharing Knowledge of Drivers of Environmental Change in the St. Lawrence System in Canada**](https://www.frontiersin.org/articles/10.3389/fmars.2020.00383/full) and the [**additional data**](https://www.frontiersin.org/articles/10.3389/fmars.2020.00383/full#supplementary-material). It is possible to consult the application [**eDrivers**](https://catalogue.ogsl.ca/dataset/ca-cioos_7c51ad5f-c2a9-4f4a-a78c-0b652e630825).

**REFERENCE:**

- [Halpern, B., Frazier, M., Potapenko, J. et al. Spatial and temporal changes in cumulative human impacts on the world’s ocean. Nat Commun 6, 7615 (2015). https://doi.org/10.1038/ncomms8615](https://doi.org/10.1038/ncomms8615)
Vehicle and Sonde Data from an Autonomous Underwater Vehicle Survey of Musquash Marine Protected Area (2020)

Keywords: ckan, production
Temporal coverage: 2020-08-13T00:00:00

Using an autonomous underwater vehicle (Ecomapper) equipped with a sonde (EXO), DVL (RDI) and side-scan sonar (Sunfish), the Fisheries and Oceans Canada surveyed zones 2 and 3 of the Musquash Marine Protected Area in Southwestern New Brunswick between August and November of 2020.

The primary function of this survey was to identify differences in marine habitat in sub-tidal and inter-tidal zones of the Marine Protected Area (MPA) and provide baseline bathymetry data for identifying future changes in the MPA (sedimentation and erosion). Side scan sonar data (available in another dataset) provides baseline data for evaluating bottom type and structure.

This project was funded by DFO Coastal Environmental Baseline Program under Canada’s Oceans Protection Plan (OPP).
Toxic algae, Driver of Environmental Change: eDrivers Project for the St. Lawrence System

Keywords: ckan, production
Temporal coverage: 2019-01-01/2019-01-01

The data we use to describe the risk of toxic algae come from an expert based map delineating the areas where coastal areas are at risk from five different toxins.  The map presents coastal areas at risk from: 1) paralytic shellfish poisoning (PSP) toxins from the regular presence of the dinoflagellate Alexandrium catenella (previously Alexandrium tamarense) at high concentrations, 2) amnesic shellfish poisoning (ASP) toxins from domoic acid 3) diarrhetic shellfish poisoning (DSP) toxins, 4) spirolides and 5) pectenotoxins, two toxins produced by dinoflagellates occurring in the St. Lawrence.

It is possible to consult the scientific report of the **eDrivers** project: [Characterizing Exposure to and Sharing Knowledge of Drivers of Environmental Change in the St. Lawrence System in Canada](https://www.frontiersin.org/articles/10.3389/fmars .2020.00383/full) and the [additional data](https://www.frontiersin.org/articles/10.3389/fmars.2020.00383/full#supplementary-material). It is possible to consult the application [eDrivers](https://catalogue.ogsl.ca/dataset/ca-cioos_7c51ad5f-c2a9-4f4a-a78c-0b652e630825).

**REFERENCE:**

- [Bates, S. S., Beach, D. G., Comeau, L. A., Haigh, N., Lewis, N. I., Locke, A., et al. (2019). Marine harmful algal blooms and phycotoxins of concern to Canada. Can. Tech. Rep. Fish. Aquat. Sci. In revision. Department of Fisheries and Oceans.](https://publications.gc.ca/collections/collection_2020/mpo-dfo/Fs97-6-3384-eng.pdf)