oih/oih-wis2 huggingface dataset:
Underway surface seawater and marine boundary layer observations made from the Alaska Marine Highway System M/V Columbia from October 2017 to October 2018, Observations de l'eau de mer de surface et de la couche limite marine en cours à partir du réseau routier maritime de l'Alaska M/V Columbia d'octobre 2017 à octobre 2018

Keywords: other, gulf-of-alaska, british-columbia-coast, underway-measurements, north-pacific-ocean, oxygen-dynamics, carbone-inorganique, inorganiccarbon, oceans, ocean-acidification, marine-co2-system
Temporal coverage: None

From October 2017 to October 2018, underway surface water measurements were collected from the Alaska Marine Highway System M/V Columbia during 81 service route transits. The service route of the Columbia included the ports of Sitka, Juneau, Haines, Skagway, Wrangell, Petersburg, and Ketchikan in southeast Alaska, and between Ketchikan and Bellingham, WA. The vessel sailed from Ketchikan every Wednesday, arrived in Bellingham on Friday, and returned to Ketchikan on Sunday. Measurements of temperature, salinity, dissolved oxygen content, and CO2 partial pressure were made every 2 mins on seawater drawn into the vessel from a ~2 m intake. Seawater was delivered from the intake to analytical equipment on the car deck using a AMT 1/2 HP pump (4295-98). Temperature and salinity data were collected using a Sea-Bird SBE 45 MicroTSG Thermosalinograph, and intake temperature measured using a SBE 38 Digital Oceanographic Thermometer. Dissolved oxygen content was determined using an Aanderaa 4330F that had undergone multipoint calibration. CO2 measurements were made using a General Oceanics 8050 (GO8050) pCO2 Measuring System. All data streams, including GPS information from an antenna and atmospheric pressure from a Druck barometer positioned on the foredeck, were captured by the GO8050 control computer. Atmospheric CO2 measurements were also made using the GO8050 on unaltered marine air drawn to the system through an intake located on the foredeck. The CO2 measurement scheme involved the analysis of four gas standards of known CO2 content (150 ppm, 349 ppm, 449 ppm, and 850 ppm; Praxair), 12 analyses atmospheric CO2, and 240 seawater CO2 measurements in a cycle that was repeated every 8.5 hours. The seawater and atmospheric CO2 analyses were run in a sequence of 3 atmospheric measurements and 60 seawater measurements that was repeated 4 times between standardization. This project was supported by the Tula Foundation and Alaska Ocean Observing System, and was a collaborative effort between the Hakai Institute, University of Washington Joint Institute for the Study of the Atmosphere and Ocean/NOAA Pacific Marine Environmental Laboratory, State of Alaska Department of Transportation, University of Alaska Southeast Alaska Coastal Rainforest Center, and the Alaska Ocean Observing System.
Underway surface seawater and marine boundary layer observations made from the Alaska Marine Highway System M/V Columbia from October 2017 to October 2018, Observations de l'eau de mer de surface et de la couche limite marine en cours à partir du réseau routier maritime de l'Alaska M/V Columbia d'octobre 2017 à octobre 2018

Keywords: oxygen-dynamics, carbone-inorganique, oceans, ocean-acidification, marine-co2-system, other, inorganiccarbon, gulf-of-alaska, british-columbia-coast, underway-measurements, north-pacific-ocean
Temporal coverage: None

From October 2017 to October 2018, underway surface water measurements were collected from the Alaska Marine Highway System M/V Columbia during 81 service route transits. The service route of the Columbia included the ports of Sitka, Juneau, Haines, Skagway, Wrangell, Petersburg, and Ketchikan in southeast Alaska, and between Ketchikan and Bellingham, WA. The vessel sailed from Ketchikan every Wednesday, arrived in Bellingham on Friday, and returned to Ketchikan on Sunday. Measurements of temperature, salinity, dissolved oxygen content, and CO2 partial pressure were made every 2 mins on seawater drawn into the vessel from a ~2 m intake. Seawater was delivered from the intake to analytical equipment on the car deck using a AMT 1/2 HP pump (4295-98). Temperature and salinity data were collected using a Sea-Bird SBE 45 MicroTSG Thermosalinograph, and intake temperature measured using a SBE 38 Digital Oceanographic Thermometer. Dissolved oxygen content was determined using an Aanderaa 4330F that had undergone multipoint calibration. CO2 measurements were made using a General Oceanics 8050 (GO8050) pCO2 Measuring System. All data streams, including GPS information from an antenna and atmospheric pressure from a Druck barometer positioned on the foredeck, were captured by the GO8050 control computer. Atmospheric CO2 measurements were also made using the GO8050 on unaltered marine air drawn to the system through an intake located on the foredeck. The CO2 measurement scheme involved the analysis of four gas standards of known CO2 content (150 ppm, 349 ppm, 449 ppm, and 850 ppm; Praxair), 12 analyses atmospheric CO2, and 240 seawater CO2 measurements in a cycle that was repeated every 8.5 hours. The seawater and atmospheric CO2 analyses were run in a sequence of 3 atmospheric measurements and 60 seawater measurements that was repeated 4 times between standardization. This project was supported by the Tula Foundation and Alaska Ocean Observing System, and was a collaborative effort between the Hakai Institute, University of Washington Joint Institute for the Study of the Atmosphere and Ocean/NOAA Pacific Marine Environmental Laboratory, State of Alaska Department of Transportation, University of Alaska Southeast Alaska Coastal Rainforest Center, and the Alaska Ocean Observing System.
Les algues toxiques, stresseur environnemental : projet eDrivers sur le système du Saint-Laurent, Toxic algae, Driver of Environmental Change: eDrivers Project for the St. Lawrence System

Keywords: eDrivers, stresseurs environnementaux, Oceans, Autre, other, Saint-Laurent, St. Lawrence, toxic algae, algues toxiques, environmental stressors
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)
Caractérisation de zones humides saumâtres le long du fleuve Saint-Jean aux environs du Port de Saint John, NB (2020), Characterisation of Saint John River Brackish Wetlands Around the Port of Saint John (2020)

Keywords: coastal zone, marsh, marineTurtlesBirdsMammalsAbundanceAndDistribution, habitat characterization, Composition et couverture des herbiers marins, habitat sensible, climate change, protected areas, milieux humides, oiseaux marins, seagrassCoverAndComposition, réhabilitation écologique, seabirds, water quality, wetlands, flore côtière, niveau eau, zone côtière, changement climatique, aide à la décision, aires protégées, coastal erosion, other, salinity, species at risk, water level, caractérisation des habitats, Oceans, Autre, important habitats, invasive species, restauration habitat, citizen data, marais, qualité eau, salinité, resource management, habitat restoration, ecological rehabilitation, espèces en péril, Abondance et distribution de tortues marines, oiseaux et mammifères, données citoyennes, sensitive habitat, wildlife inventory, inventaire faunique, habitats important, coastal flora, decision-making tool, gestion des ressources, espèces envahissante, erosion des côtes
Temporal coverage: 2020-08-20/2020-08-20

The project collects baseline data on tidally-influenced brackish wetlands within the Saint John River system within the Port of Saint John study area, and which impact marine ecosystems by the various ecosystem services they provide; including absorbing water in storm events and reducing erosion and runoff into the marine environment, filtering chemicals and sediment out of water before it is discharged into the ocean, and providing food and habitat for wildlife. Salt water enters the Saint John River and affects river salinity as far inland as Fredericton, NB (Carter and Dadswell 1983). 

The focus of the baseline evaluation will be to follow the Wetland Ecosystem Services Protocol for Atlantic Canada (WESP-AC), developed by Dr. Paul Adamus (Oregon State University) and the New Brunswick Department of Environment and Local Government to rapidly characterize the ecosystem services of wetlands within the study area, as well as to collect species data (including invasive species). The standardized protocol involves a desktop assessment and a field visit to each wetland. 

The dataset contains a Non-tidal WESP-AC spreadsheet (.xlsx) for each wetland, a species spreadsheet (.csv), and a geodatabase (.gdb) of wetland boundaries, a centroid, monitoring tracks, and boundary of the Port of Saint John study area. Field visits were done on the following dates: Grassy Island (Aug 28, 2020). 

This project is conducted under the Department of Fisheries and Oceans' Coastal Environmental Baseline Program; part of the national Oceans Protection Plan.
Etendue de la zostère zostère (Z. marina) dans l'écosystème du grand parc des sites de surveillance de la zostère de la réserve de parc national Pacific Rim (2017, 2018) v1.0.0, Eelgrass (Z. marina) extent within the greater park ecosystem of Pacific Rim National Park Reserve eelgrass monitoring sites (2017, 2018) v1.0.0

Keywords: drone, towed-underwater-video, composition-et-couverture-des-herbiers-marins, other, seagrasscoverandcomposition, marine-habitat, intertidal, oceans, zostera-marina, autre, eelgrass, seagrass
Temporal coverage: None

This data package contains reports and datasets pertaining to mapping the spatial extent of eelgrass (Zostera marina) at several monitoring sites within the greater park ecosystem of Pacific Rim National Park Reserve located on the west coast of Vancouver Island, British Columbia, Canada. This work was a collaborative project between the Hakai Institute and the Pacific Rim National Park Reserve (PRNPR).  

Monitoring sites were mapped using a small Remotely Piloted Aerial Systems (RPAS) (DJI Phantom Pro 3) during summer low tides in 2017 and 2018. Orthomosaics of each site were created using a Structure from Motion Multi-View Stereo (SfM-MVS) workflow within Pix4Dmapper software (Version 2.1.61, Pix4D) in Windows 10. For the 2017 survey, ground control points were collected for georeferencing the orthomosaics. This was not done in 2018 due to time limitations (please see reports for more details). The extent of eelgrass at each site was delineated using object-based image analysis (OBIA) with eCognition Developer software (eCognition Developer 9, 2014) and manual delineation (where necessary). Georeferenced towed underwater video (SplashCam Pro) data were collected at eelgrass monitoring sites during high tide to provide ground-truth data for the aerial analysis and delineation of eelgrass. 
The data package includes:

Temporal coverage: July 2017 (Broken Group Unit region) and May 2018 (Long Beach Unit region)
 
This data package is a component of the Hakai Institute’s Habitat Mapping program. The overarching objective of the Hakai Habitat Mapping program is to generate spatial inventories of coastal habitats, investigate how these habitats are changing through time and the drivers of that change. 

The use of this dataset requires permission from both the PRNPR and the Hakai Institute. To see a copy of this data sharing permissions, see LICENCE.txt.

Please attribute material in this data package as:
Reshitnyk, L. Y, and J. Yakimyshyn. (2021). Spatial extent of eelgrass (Zostera marina) beds from monitoring sites within the greater park ecosystem of Pacific Rim National Park Reserve in 2017 and 2018 mapped using remote piloted aerial systems (RPAS). Version 1.0. Hakai Institute. Dataset. [access date]) DOI: https://doi.org/10.21966/8mpe-h081
Etendue de la zostère zostère (Z. marina) dans l'écosystème du grand parc des sites de surveillance de la zostère de la réserve de parc national Pacific Rim (2017, 2018) v1.0.0, Eelgrass (Z. marina) extent within the greater park ecosystem of Pacific Rim National Park Reserve eelgrass monitoring sites (2017, 2018) v1.0.0, {'fr': {'message': "text translated using the Amazon translate service / texte traduit à l'aide du service de traduction Amazon", 'verified': False}}

Keywords: drone, towed-underwater-video, composition-et-couverture-des-herbiers-marins, nearshore, other, seagrasscoverandcomposition, geospatial, marine-habitat, intertidal, oceans, zostera-marina, autre, eelgrass, seagrass
Temporal coverage: None

This data package contains reports and datasets pertaining to mapping the spatial extent of eelgrass (Zostera marina) at several monitoring sites within the greater park ecosystem of Pacific Rim National Park Reserve located on the west coast of Vancouver Island, British Columbia, Canada. This work was a collaborative project between the Hakai Institute and the Pacific Rim National Park Reserve (PRNPR).  

Monitoring sites were mapped using a small Remotely Piloted Aerial Systems (RPAS) (DJI Phantom Pro 3) during summer low tides in 2017 and 2018. Orthomosaics of each site were created using a Structure from Motion Multi-View Stereo (SfM-MVS) workflow within Pix4Dmapper software (Version 2.1.61, Pix4D) in Windows 10. For the 2017 survey, ground control points were collected for georeferencing the orthomosaics. This was not done in 2018 due to time limitations (please see reports for more details). The extent of eelgrass at each site was delineated using object-based image analysis (OBIA) with eCognition Developer software (eCognition Developer 9, 2014) and manual delineation (where necessary). Georeferenced towed underwater video (SplashCam Pro) data were collected at eelgrass monitoring sites during high tide to provide ground-truth data for the aerial analysis and delineation of eelgrass. 
The data package includes:

Temporal coverage: July 2017 (Broken Group Unit region) and May 2018 (Long Beach Unit region)
 
This data package is a component of the Hakai Institute’s Habitat Mapping program. The overarching objective of the Hakai Habitat Mapping program is to generate spatial inventories of coastal habitats, investigate how these habitats are changing through time and the drivers of that change. 

The use of this dataset requires permission from both the PRNPR and the Hakai Institute. To see a copy of this data sharing permissions, see LICENCE.txt.

Please attribute material in this data package as:
Reshitnyk, L. Y, and J. Yakimyshyn. (2021). Spatial extent of eelgrass (Zostera marina) beds from monitoring sites within the greater park ecosystem of Pacific Rim National Park Reserve in 2017 and 2018 mapped using remote piloted aerial systems (RPAS). Version 1.0. Hakai Institute. Dataset. [access date]) DOI: https://doi.org/10.21966/8mpe-h081
Etendue de la zostère zostère (Z. marina) dans l'écosystème du grand parc des sites de surveillance de la zostère de la réserve de parc national Pacific Rim (2017, 2018) v1.0.0, Eelgrass (Z. marina) extent within the greater park ecosystem of Pacific Rim National Park Reserve eelgrass monitoring sites (2017, 2018) v1.0.0

Keywords: drone, towed-underwater-video, composition-et-couverture-des-herbiers-marins, eelgrass, seagrass, other, seagrasscoverandcomposition, marine-habitat, intertidal, oceans, zostera-marina, autre
Temporal coverage: None

This data package contains reports and datasets pertaining to mapping the spatial extent of eelgrass (Zostera marina) at several monitoring sites within the greater park ecosystem of Pacific Rim National Park Reserve located on the west coast of Vancouver Island, British Columbia, Canada. This work was a collaborative project between the Hakai Institute and the Pacific Rim National Park Reserve (PRNPR).  

Monitoring sites were mapped using a small Remotely Piloted Aerial Systems (RPAS) (DJI Phantom Pro 3) during summer low tides in 2017 and 2018. Orthomosaics of each site were created using a Structure from Motion Multi-View Stereo (SfM-MVS) workflow within Pix4Dmapper software (Version 2.1.61, Pix4D) in Windows 10. For the 2017 survey, ground control points were collected for georeferencing the orthomosaics. This was not done in 2018 due to time limitations (please see reports for more details). The extent of eelgrass at each site was delineated using object-based image analysis (OBIA) with eCognition Developer software (eCognition Developer 9, 2014) and manual delineation (where necessary). Georeferenced towed underwater video (SplashCam Pro) data were collected at eelgrass monitoring sites during high tide to provide ground-truth data for the aerial analysis and delineation of eelgrass. 
The data package includes:

Temporal coverage: July 2017 (Broken Group Unit region) and May 2018 (Long Beach Unit region)
 
This data package is a component of the Hakai Institute’s Habitat Mapping program. The overarching objective of the Hakai Habitat Mapping program is to generate spatial inventories of coastal habitats, investigate how these habitats are changing through time and the drivers of that change. 

The use of this dataset requires permission from both the PRNPR and the Hakai Institute. To see a copy of this data sharing permissions, see LICENCE.txt.

Please attribute material in this data package as:
Reshitnyk, L. Y, and J. Yakimyshyn. (2021). Spatial extent of eelgrass (Zostera marina) beds from monitoring sites within the greater park ecosystem of Pacific Rim National Park Reserve in 2017 and 2018 mapped using remote piloted aerial systems (RPAS). Version 1.0. Hakai Institute. Dataset. [access date]) DOI: https://doi.org/10.21966/8mpe-h081
WHaLE in Gulf of St. Lawrence 2019-06-04, BALEINE dans le golfe du Saint-Laurent 2019-06-04

Keywords: oxygen, oxygene, temperature-du-sous-sol, salinite-souterraine, subsurfacesalinity, oceans, autre, other, subsurfacetemperature
Temporal coverage: 2019-06-04/2019-06-25

Slocum gliders are small, free-swimming, unmanned vehicles that use changes in buoyancy to move vertically and horizontally through the water column in a saw-tooth pattern. They are deployed for days to several months and gather detailed information about the physical, chemical and biological processes of the world's oceans. The Slocum glider was designed and built by Teledyne Webb Research Corporation, Falmouth, MA, USA.
Bald eagles as vectors of marine nutrients – Central Coast Islands (100 Islands study area) – May – July 2017, Les pygargues à tête blanche en tant que vecteurs d'éléments nutritifs marins — îles de la côte centrale (zone d'étude des 100 îles) — mai — juillet 2017

Keywords: vegetation, marine-derived-nutrients, eagle, nutrient, nutrients, other, community-ecology, bald-eagle, nitrogen, potassium, downloadable-data, 100-islands, oceans, marine, nutriments, british-columbia, soil-ph, haliaeetus-leucocephalus, phosphorus, plant-composition, 15n, stable-isotopes
Temporal coverage: 2017-05-20/2017-07-19

In this observational study, we quantify the relationship between eagle activity, soil chemistry, and vegetation composition.  This dataset consists of plot description, eagle and reference tree information, vegetation data, and soil chemistry data. Data is in tabular form.

Based on foraging behavior and nesting habits, I propose that bald eagles (Haliaeetus leucocephalus) are an important vector of marine nutrient transfer. Although their diet is largely marine-based, bald eagles generally consume their prey on land. This behavior results in deposition of guano and prey remains that are likely chemically or nutritionally similar to seabird guano and may produce similar ecological responses. Altered soil characteristics may include increased concentration of marine-derived nitrogen (δ15N), total nitrogen, and phosphorous, and decreased pH. Previous research shows a correlation between changes in soil chemistry and an increase in plant biomass and decrease in plant species richness at seabird colony sites, presumably because certain plant species were able to dominate under high nutrient-low pH conditions. If long-term additions of nitrogen from bald eagle guano and prey remains do change soil chemistry, a shift toward more nitrophilous species may be most evident in the homogenous, salal-dominated understories of Central Coast islands.
Les pygargues à tête blanche en tant que vecteurs d'éléments nutritifs marins — îles de la côte centrale (zone d'étude des 100 îles) — mai — juillet 2017, Bald eagles as vectors of marine nutrients – Central Coast Islands (100 Islands study area) – May – July 2017

Keywords: bald-eagle, nitrogen, potassium, downloadable-data, soil-ph, haliaeetus-leucocephalus, vegetation, marine-derived-nutrients, 15n, stable-isotopes, phosphorus, plant-composition, eagle, nutrient, nutrients, other, community-ecology, marine, nutriments, british-columbia, 100-islands, oceans
Temporal coverage: 2017-05-20/2017-07-19

In this observational study, we quantify the relationship between eagle activity, soil chemistry, and vegetation composition.  This dataset consists of plot description, eagle and reference tree information, vegetation data, and soil chemistry data. Data is in tabular form.

Based on foraging behavior and nesting habits, I propose that bald eagles (Haliaeetus leucocephalus) are an important vector of marine nutrient transfer. Although their diet is largely marine-based, bald eagles generally consume their prey on land. This behavior results in deposition of guano and prey remains that are likely chemically or nutritionally similar to seabird guano and may produce similar ecological responses. Altered soil characteristics may include increased concentration of marine-derived nitrogen (δ15N), total nitrogen, and phosphorous, and decreased pH. Previous research shows a correlation between changes in soil chemistry and an increase in plant biomass and decrease in plant species richness at seabird colony sites, presumably because certain plant species were able to dominate under high nutrient-low pH conditions. If long-term additions of nitrogen from bald eagle guano and prey remains do change soil chemistry, a shift toward more nitrophilous species may be most evident in the homogenous, salal-dominated understories of Central Coast islands.