Pictou County Water Quality Data

Summary:
The Centre for Marine Applied Research (CMAR) provides high resolution ocean data from around the coast of Nova Scotia through their Coastal Monitoring Program. Through the Water Quality Branch of the program, CMAR collects temperature, dissolved oxygen, and salinity data using sensors deployed on stationary moorings. A typical mooring consists of a line anchored to the sea floor and suspended by a sub-surface buoy, with sensors attached at various depths. Alternatively, sensors may be attached to structures including buoys, docks, or aquaculture equipment. Sensors are deployed for several months, and data are measured every 1 minute to 1 hour. Station locations, summary reports, and data collection methods are available on the CMAR website (https://cmar.ca/coastal-monitoring-program/). Datasets and reports may be revised pending ongoing data collection and analyses. Automated Quality Control tests were applied to the data to identify outlying and unexpected observations. The results of these tests are summarized in the “qc_flag” columns of the dataset. Observations flagged as “Pass” passed all tests, while observations flagged as “Fail” failed at least one test and should be excluded from most analyses. “Suspect/Of Interest” flags highlight unusual events or poor quality data, and “Not Evaluated” flags indicate at least one test was not applied to the observation. Flags should be used as a guide only, and users are responsible for evaluating the data quality prior to use. For technical details on the Quality Control tests, visit the CMAR Data Governance website (https://dempsey-cmar.github.io/cmp-data-governance/pages/cmp_about.html). Other data quality considerations:  -       Through calibration-validation procedures, CMAR has discovered that the VR2AR temperature sensors typically record 0.5 – 1 °C lower than other temperature sensors. This is not corrected for or flagged in the datasets but may be in the future. - Sensor drift is not flagged in the datasets. -  The sensor_depth_at_low_tide_m is an estimate and should be compared to sensor_depth_measured_m when possible. Note the mooring can get “knocked down” by currents or sink from biofouling. Large discrepancies between the estimated depth and the minimum recorded depth are flagged in the column depth_crosscheck_flag. The Coastal Monitoring Program Water Quality data is organized by county. These datasets are very large, typically exceeding the number of rows that can be viewed in Excel. CMAR recommends filtering the data to the waterbody, station, depth, quality control flag, and/or time period of interest before exporting. Take care when exporting data filtered on quality control columns, because the whole row will be filtered (i.e., all other variables measured at that timestamp will also be excluded).  If you have accessed any Coastal Monitoring Program data, CMAR would appreciate your feedback: https://forms.gle/AyD7Vi3BpKGe6ueYA. Please acknowledge the Centre for Marine Applied Research in any published material that uses this data. Contact info@cmar.ca for more information.

cdm_data_type = TimeSeries
VARIABLES:
waterbody
... (20 more variables)


Pilot Boarding Station / Red Island Shoal Buoy

Summary:
A 3 m. diameter meteorological / oceanographic buoy built by AXYS Environmental Technologies of Sidney, British Columbia. The buoy is located at the Pilot Boarding Station for Placentia Bay in about 153 m. water depth. This buoy's purpose is to monitor surface conditions at the Pilot Boarding Station in support of safer and more efficient pilot and tanker operations.The buoy is capable of measuring a variety of atmospheric and surface conditions including: wind speed and direction, air temperature, humidity, dew point, barometric pressure, water temperature, current speed and direction (0.5 m. depth), wave height, direction and period as well as wave spectral information. The buoy is also equipped with an Aids to Navigation Information System (ATONiS) allowing direct transmittal of the buoy data to a ship's bridge.Data from the buoy is available in near-real time and is utilized by SmartBay partner AMEC Earth and Environmental to generate custom weather and sea-state forecasts for Placentia Bay as well as the site-specific forecasts for this location in support of safer and more efficient pilot and tanker operations.

cdm_data_type = TimeSeries
VARIABLES:
station_name
time (Timestamp, seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
precise_lon (Precise Longitude, degrees_east)
precise_lat (Precise Latitude, degrees_north)
wind_spd_avg (m s-1)
wind_spd_max (m s-1)
wind_dir_avg (Wind From Direction, degree)
wind_spd2_avg (Wind Spd Avg 2, m s-1)
wind_spd2_max (Wind Spd Max 2, m s-1)
wind_dir2_avg (Wind From Direction 2, degree)
air_temp_avg (degree_C)
air_pressure_avg (Air Pressure, mbar)
air_humidity_avg (1)
air_dewpoint_avg (degree_C)
... (11 more variables)


Placentia Bay: North Harbour - NHARB

Summary:
NHARB (47.84626 N , 54.09684 W) is a water temperature and pressure gauge located in North Harbour, Placentia Bay. The station is equipped with an HydroMet OTT Pressure Level Sensor (PLS) measuring water pressure and temperature. The sensor is connected to a SUTRON Satlink2-V2 which collect 1 min average values (from a 1 Hz internal sampling) logged every 10 min and transmitted via an Omni-directional GOES antenna every hour. The station is installed on a wharf and the sensor is moored at about 3 m depth from mean sea level. This station is part of a monitoring program led by the Northwest Atlantic Fisheries Centre (Fisheries and Oceans, Canada) to provide with an oceanographic baseline of the area.

cdm_data_type = TimeSeries
VARIABLES:
station_name
time (Timestamp, seconds since 1970-01-01T00:00:00Z)
water_pressure (Sea Water Pressure, mbar)
water_temperature (Surface Temp Avg, degree_C)
battery_voltage (V)
latitude (degrees_north)
longitude (degrees_east)


Placentia Bay: Ragged Islands - KLUMI

Summary:
KLUMI (47.59359 N , 54.27349 W) is a 10 m mast weather station equipped with a Gill ultrasonic wind sensor (WindSonic, option 4). The data are collected via a SUTRON Satlink2-V2 logger connected to an Omni-directional GOES antenna; transmitting near real-time data every hour. 1 min average wind speed and direction as well as gust (maximum) are calculated from the sensor 1 Hz internal sampling rate and recorded by the logger every 10 min. The mast is installed on a barren island, about 10 m height from the mean sea level, located on the northeast side of Placentia Bay.  Wind observations are thus made at about 20 m from mean sea level. This weather station is part of a monitoring program led by the Northwest Atlantic Fisheries Centre (Fisheries and Oceans, Canada) to provide with an oceanographic baseline of the area.

cdm_data_type = TimeSeries
VARIABLES:
station_name
time (Timestamp, seconds since 1970-01-01T00:00:00Z)
wind_dir_avg (Wind From Direction, degree)
wind_spd_gust_dir (Wind Gust From Direction, degree)
wind_spd_avg (Wind Speed Avgerage, m s-1)
wind_spd_gust (Wind Speed Of Gust, m s-1)
battery_voltage (V)
latitude (degrees_north)
longitude (degrees_east)


POLY4 Chlorophyll-a MODIS-Aqua Data in the Northwest Atlantic, 2002-2023

Summary:
NWA Moderate Resolution Imaging Spectroradiometer (MODIS)-AQUA CHL_POLY4

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
chlor_a (Chlorophyll-a Concentration (POLY4v2 model with coefficients optimized to MODIS-AQUA and Northwest Atlantic), mg m-3)


POLY4 Chlorophyll-a OC-CCI Data in the Northwest Atlantic, 1997-Present

Summary:
Chlorophyll-a concentration (Chl-a) is used as a proxy for phytoplankton biomass to track blooms and monitor the state of the ecosystem. This dataset contains daily satellite Chl-a since Sep 1997. The data is at a 4.64x4.64 km spatial resolution covering an area of the Northwest Atlantic from 39-82°N, 42-95°W. Regionally-tuned coefficients for POLY4 Chl-a (Clay et al., 2019, see resources) were obtained by matching level-3 gridded 1km-resolution satellite pixels to in situ HPLC (High Performance Liquid Chromatography) Chl-a samples within the region of interest. POLY4 Chl-a was then optimized by forcing the linear regression of POLY4 against HPLC to the 1:1 line to reduce the negative bias observed in higher concentrations in the default global Chl-a models. Daily Chl-a images were generated by applying the optimized POLY4 algorithm on level-3 binned remote sensing reflectance (Rrs) data from the OC-CCI multisensor product generated by the Plymouth Marine Laboratory (PML) as part of the European Space Agency (ESA) climate change initiative. The Chl-a data were then projected onto an Equidistant Cylindrical grid (4.64x4.64 km per pixel) using a nearest neighbour method.  This model and the Northwest Atlantic coefficients are available in the R package oceancolouR (https://github.com/BIO-RSG/oceancolouR).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
chlor_a (Chlorophyll-a Concentration (POLY4v1 model with coefficients optimized to OC-CCI multisensor product in the Northwest Atlantic), mg m-3)


Potash Terminal Tide and Meteorological Station

Summary:
Near-real time access to physical environmental observations such as local wind and sea levels are some of the basic requirements of a modern 'Smart Port' operation. Along with accurate site forecasts, these observations are essential in promoting the operational efficiency, safety and situational awareness of vessel movements within a harbour and its approaches. In this context, Amec Foster Wheeler, in partnership with the Marine Institute of Memorial University Center for Applied Ocean Technology, has developed this wind and water level monitoring station (tide gauge) to satisfying the Port of Saint John objectives for a water level and wind monitoring station for Courtenay Bay. The station is capable of measuring and reporting accurate data and is reported live via the SmartAtlantic ocean observation system website. This station consists of a Yaleport TideMaster water level recorder with Yaleport VRS20 radar (water) level sensor and a Gill WindSonic anemometer to measure wind speed and direction.

cdm_data_type = TimeSeries
VARIABLES:
station_name
time (Timestamp, seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
tide_ht_avg (Sea Surface Height, m)
wind_spd_avg (m s-1)
wind_spd_max (m s-1)
wind_dir_avg (Wind From Direction, degree)
tide_ht_pre (Sea Surface Height, m)


Queens County Water Quality Data

Summary:
The Centre for Marine Applied Research (CMAR) provides high resolution ocean data from around the coast of Nova Scotia through their Coastal Monitoring Program. Through the Water Quality Branch of the program, CMAR collects temperature, dissolved oxygen, and salinity data using sensors deployed on stationary moorings. A typical mooring consists of a line anchored to the sea floor and suspended by a sub-surface buoy, with sensors attached at various depths. Alternatively, sensors may be attached to structures including buoys, docks, or aquaculture equipment. Sensors are deployed for several months, and data are measured every 1 minute to 1 hour. Station locations, summary reports, and data collection methods are available on the CMAR website (https://cmar.ca/coastal-monitoring-program/). Datasets and reports may be revised pending ongoing data collection and analyses. Automated Quality Control tests were applied to the data to identify outlying and unexpected observations. The results of these tests are summarized in the “qc_flag” columns of the dataset. Observations flagged as “Pass” passed all tests, while observations flagged as “Fail” failed at least one test and should be excluded from most analyses. “Suspect/Of Interest” flags highlight unusual events or poor quality data, and “Not Evaluated” flags indicate at least one test was not applied to the observation. Flags should be used as a guide only, and users are responsible for evaluating the data quality prior to use. For technical details on the Quality Control tests, visit the CMAR Data Governance website (https://dempsey-cmar.github.io/cmp-data-governance/pages/cmp_about.html). Other data quality considerations:  -       Through calibration-validation procedures, CMAR has discovered that the VR2AR temperature sensors typically record 0.5 – 1 °C lower than other temperature sensors. This is not corrected for or flagged in the datasets but may be in the future. - Sensor drift is not flagged in the datasets. -  The sensor_depth_at_low_tide_m is an estimate and should be compared to sensor_depth_measured_m when possible. Note the mooring can get “knocked down” by currents or sink from biofouling. Large discrepancies between the estimated depth and the minimum recorded depth are flagged in the column depth_crosscheck_flag. The Coastal Monitoring Program Water Quality data is organized by county. These datasets are very large, typically exceeding the number of rows that can be viewed in Excel. CMAR recommends filtering the data to the waterbody, station, depth, quality control flag, and/or time period of interest before exporting. Take care when exporting data filtered on quality control columns, because the whole row will be filtered (i.e., all other variables measured at that timestamp will also be excluded).  If you have accessed any Coastal Monitoring Program data, CMAR would appreciate your feedback: https://forms.gle/AyD7Vi3BpKGe6ueYA. Please acknowledge the Centre for Marine Applied Research in any published material that uses this data. Contact info@cmar.ca for more information.

cdm_data_type = TimeSeries
VARIABLES:
waterbody
... (17 more variables)


Queens County Wave Data

Summary:
The Centre for Marine Applied Research (CMAR) provides high resolution data on ocean variables from around the coast of Nova Scotia through their Coastal Monitoring Program. The program was initiated by the Nova Scotia Department of Fisheries and Aquaculture (NSDFA) in 2015. In 2019, CMAR assumed responsibility for the program and expanded its scope and mandate. Through the Wave Branch of the program, CMAR processes and publishes Wave data collected by NSDFA. The data are measured by upward facing Acoustic Doppler Current Profilers (ADCPs) that are mounted on the sea floor for 1 - 3 months. An ADCP uses sound to measure wave variables including height, period, and direction. NSDFA uses several ADCP instrument models, including the Sentinel V20, Sentinel V50, Sentinel V100, and Workhorse Sentinel 600kHz. The data is processed using Velocity and WavesMon4 Software, and then compiled and formatted for publication with CMAR’s waves R package. An automated “Gross Range” test was applied to the data to identify statistical outliers. Each data point was assigned a flag value of “Pass”, “Suspect/Of Interest”, or “Fail”. Observations flagged as “Pass” passed the test (i.e., were not considered outliers) and can be included in analyses. Observations flagged as “Fail” were considered outliers and should be excluded from most analyses. Observations flagged as “Suspect/Of Interest” were either poor quality or highlight an unusual event, and should be carefully reviewed before being included in analyses. Flags should be used as a guide only, and data users are responsible for evaluating the quality of the data prior to use in any analysis.  The "Nova Scotia Current and Wave Data: Deployment Information" dataset on this Portal shows all locations with available Wave data collected through CMAR’s Coastal Monitoring Program (https://data.novascotia.ca/Fishing-and-Aquaculture/Nova-Scotia-Current-and-Wave-Data-Deployment-Infor/uban-q9i2/about_data). Summary reports for each county are available on the CMAR website (https://cmar.ca/coastal-monitoring-program/). Data collection and retrieval are ongoing. The datasets and reports may be revised pending ongoing data collection and analyses.  If you have accessed any Coastal Monitoring Program data, CMAR would appreciate your anonymous feedback: https://docs.google.com/forms/d/e/1FAIpQLSe3TD6umrsVVKnQL13VVMJIpckCi2ctONJsgN7_g-4c-tKTuw/viewform. Please acknowledge the Centre for Marine Applied Research in any published material that uses this data. Contact info@cmar.ca for more information.

cdm_data_type = TimeSeries
VARIABLES:
waterbody
... (25 more variables)


Richmond County Water Quality Data

Summary:
The Centre for Marine Applied Research (CMAR) provides high resolution ocean data from around the coast of Nova Scotia through their Coastal Monitoring Program. Through the Water Quality Branch of the program, CMAR collects temperature, dissolved oxygen, and salinity data using sensors deployed on stationary moorings. A typical mooring consists of a line anchored to the sea floor and suspended by a sub-surface buoy, with sensors attached at various depths. Alternatively, sensors may be attached to structures including buoys, docks, or aquaculture equipment. Sensors are deployed for several months, and data are measured every 1 minute to 1 hour. Station locations, summary reports, and data collection methods are available on the CMAR website (https://cmar.ca/coastal-monitoring-program/). Datasets and reports may be revised pending ongoing data collection and analyses. Automated Quality Control tests were applied to the data to identify outlying and unexpected observations. The results of these tests are summarized in the “qc_flag” columns of the dataset. Observations flagged as “Pass” passed all tests, while observations flagged as “Fail” failed at least one test and should be excluded from most analyses. “Suspect/Of Interest” flags highlight unusual events or poor quality data, and “Not Evaluated” flags indicate at least one test was not applied to the observation. Flags should be used as a guide only, and users are responsible for evaluating the data quality prior to use. For technical details on the Quality Control tests, visit the CMAR Data Governance website (https://dempsey-cmar.github.io/cmp-data-governance/pages/cmp_about.html). Other data quality considerations:  -       Through calibration-validation procedures, CMAR has discovered that the VR2AR temperature sensors typically record 0.5 – 1 °C lower than other temperature sensors. This is not corrected for or flagged in the datasets but may be in the future. - Sensor drift is not flagged in the datasets. -  The sensor_depth_at_low_tide_m is an estimate and should be compared to sensor_depth_measured_m when possible. Note the mooring can get “knocked down” by currents or sink from biofouling. Large discrepancies between the estimated depth and the minimum recorded depth are flagged in the column depth_crosscheck_flag. The Coastal Monitoring Program Water Quality data is organized by county. These datasets are very large, typically exceeding the number of rows that can be viewed in Excel. CMAR recommends filtering the data to the waterbody, station, depth, quality control flag, and/or time period of interest before exporting. Take care when exporting data filtered on quality control columns, because the whole row will be filtered (i.e., all other variables measured at that timestamp will also be excluded).  If you have accessed any Coastal Monitoring Program data, CMAR would appreciate your feedback: https://forms.gle/AyD7Vi3BpKGe6ueYA. Please acknowledge the Centre for Marine Applied Research in any published material that uses this data. Contact info@cmar.ca for more information.

cdm_data_type = TimeSeries
VARIABLES:
waterbody
... (18 more variables)


Richmond County Wave Data


Saint John Buoy

Summary:
A 3 metre diameter meteorological / oceanographic buoy built by AXYS Environmental Technologies of Sidney, British Columbia. The buoy is located in the Bay of Fundy at the approaches to Saint John, NB Harbour in about 15.7 m. water depth. The buoy's purpose is to monitor and transmit in near real time meteorological and oceanographic data in support of operational efficiency, safety and situational awareness for marine transportation. The buoy also provides a continuous data feed in support of the Science and R&D community.The buoy is capable of measuring a variety of atmospheric and surface conditions including: wind speed and direction, air temperature, barometric pressure, water temperature, current speed and direction (0.5 m. depth), wave height, direction and period as well as wave spectral information. The buoy is also equipped with an Aids to Navigation Automatic Information System (AtoN AIS) allowing direct transmittal of the buoy data to a ship's bridge.

cdm_data_type = TimeSeries
VARIABLES:
station_name
time (Timestamp, seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
precise_lon (Precise Longitude, degrees_east)
precise_lat (Precise Latitude, degrees_north)
wind_spd_avg (m s-1)
wind_spd_max (m s-1)
wind_dir_avg (Wind From Direction, degree)
air_temp_avg (degree_C)
air_pressure_avg (Air Pressure, mbar)
surface_temp_avg (degree_C)
wave_ht_max (m)
wave_ht_sig (m)
wave_dir_avg (Sea Surface Wave To Direction, degree)
wave_spread_avg (degree)
wave_period_max (Sea Surface Wave Maximum Period, s)
curr_spd_avg (mm s-1)
... (40 more variables)


Shelburne County Water Quality Data


Shelburne County Wave Data


St. John's Buoy

Summary:
A 3 metre diameter meteorological/oceanographic buoy built by AXYS Environmental Technologies of Sidney, British Columbia. The buoy is located in St. John's Bay just north of Cape Spear at the approaches to St. John's Harbour in about 160 m. water depth. The buoy's purpose is to monitor and transmit in near real time meteorological and oceanographic data in support of operational efficiency, safety and situational awareness for marine transportation. The buoy also provides a continuous data feed in support of the Science and R&D community.The buoy is capable of measuring a variety of atmospheric and surface conditions including: wind speed and direction, air temperature, humidity, dew point, barometric pressure, water temperature, current speed and direction (0.5 m. depth), wave height, direction and period as well as wave spectral information. The buoy is also equipped with an Aids to Navigation Information System (ATONiS) allowing direct transmittal of the buoy data to a ship's bridge.

cdm_data_type = TimeSeries
VARIABLES:
station_name
time (Timestamp, seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
precise_lon (Precise Longitude, degrees_east)
precise_lat (Precise Latitude, degrees_north)
wind_spd_avg (Wind Speed Average, m s-1)
wind_spd_max (Wind Speed Max, m s-1)
wind_dir_avg (Wind From Direction, degree)
wind_spd2_avg (Wind Speed Average 2, m s-1)
wind_spd2_max (Wind Speed Max 2, m s-1)
wind_dir2_avg (Wind From Direction 2, degree)
air_temp_avg (degree_C)
air_pressure_avg (Air Pressure, mbar)
air_humidity_avg (1)
air_dewpoint_avg (degree_C)
surface_temp_avg (degree_C)
... (48 more variables)


St. John's Tide Station

Summary:
Installation of the St. John's Tide Station was undertaken in early 2014 with the site becoming operational on May 22, 2014. The Station is located at Pier 18 on the St. John's Port Authority property in St. John's, NL Harbour.The Station consists of a TideMaster portable water level recorder with VRS-20 radar level sensor and a meteorological sensor to measure wind speed and direction. The instrument has been designed to provide accurate and versatile information in an easily deployed gauge for use in short or long term hydrographic survey operations.

cdm_data_type = TimeSeries
VARIABLES:
year (1)
station_name
time (Timestamp, seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
wind_spd_avg (m s-1)
wind_spd_max (m s-1)
wind_dir_avg (Wind From Direction, degree)
tide_ht_avg (Sea Surface Height, m)


St. Pierre et Miquelon Wave Buoy

Summary:
St. Pierre et Miquelon Wave Buoy

cdm_data_type = TimeSeries
VARIABLES:
station_id
time (Timestamp, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
wave_ht_sig (m)
wave_ht_max (m)
wave_period_avg (Sea Surface Swell Wave Period, s)
timestamp_internal (seconds since 1970-01-01T00:00:00Z)
wave_ht_sig_Hm0 (m)
wave_period (Sea Surface Swell Wave Period, s)
wave_period_peak (Sea Surface Swell Wave Period, s)
wave_direction_peak_spectral (spectral)
wave_spread_peak (degree)
sea_surface_temp_avg (degree_C)
peak_power_spectral_density (m2 Hz-1)


St. Pierre et Miquelon, Wave Spectra

Summary:
St. Pierre et Miquelon - Wave Spectra

cdm_data_type = TimeSeries
VARIABLES:
station_id
time (Timestamp, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
period (s)
relative_PSD (Relative Power Spectral Density, m2 Hz-1)
direction (degree)
spread (degree)


Victoria County Water Quality Data

Summary:
The Centre for Marine Applied Research (CMAR) provides high resolution ocean data from around the coast of Nova Scotia through their Coastal Monitoring Program. Through the Water Quality Branch of the program, CMAR collects temperature, dissolved oxygen, and salinity data using sensors deployed on stationary moorings. A typical mooring consists of a line anchored to the sea floor and suspended by a sub-surface buoy, with sensors attached at various depths. Alternatively, sensors may be attached to structures including buoys, docks, or aquaculture equipment. Sensors are deployed for several months, and data are measured every 1 minute to 1 hour. Station locations, summary reports, and data collection methods are available on the CMAR website (https://cmar.ca/coastal-monitoring-program/). Datasets and reports may be revised pending ongoing data collection and analyses. Automated Quality Control tests were applied to the data to identify outlying and unexpected observations. The results of these tests are summarized in the “qc_flag” columns of the dataset. Observations flagged as “Pass” passed all tests, while observations flagged as “Fail” failed at least one test and should be excluded from most analyses. “Suspect/Of Interest” flags highlight unusual events or poor quality data, and “Not Evaluated” flags indicate at least one test was not applied to the observation. Flags should be used as a guide only, and users are responsible for evaluating the data quality prior to use. For technical details on the Quality Control tests, visit the CMAR Data Governance website (https://dempsey-cmar.github.io/cmp-data-governance/pages/cmp_about.html). Other data quality considerations:  -       Through calibration-validation procedures, CMAR has discovered that the VR2AR temperature sensors typically record 0.5 – 1 °C lower than other temperature sensors. This is not corrected for or flagged in the datasets but may be in the future. - Sensor drift is not flagged in the datasets. -  The sensor_depth_at_low_tide_m is an estimate and should be compared to sensor_depth_measured_m when possible. Note the mooring can get “knocked down” by currents or sink from biofouling. Large discrepancies between the estimated depth and the minimum recorded depth are flagged in the column depth_crosscheck_flag. The Coastal Monitoring Program Water Quality data is organized by county. These datasets are very large, typically exceeding the number of rows that can be viewed in Excel. CMAR recommends filtering the data to the waterbody, station, depth, quality control flag, and/or time period of interest before exporting. Take care when exporting data filtered on quality control columns, because the whole row will be filtered (i.e., all other variables measured at that timestamp will also be excluded).  If you have accessed any Coastal Monitoring Program data, CMAR would appreciate your feedback: https://forms.gle/AyD7Vi3BpKGe6ueYA. Please acknowledge the Centre for Marine Applied Research in any published material that uses this data. Contact info@cmar.ca for more information.

cdm_data_type = TimeSeries
VARIABLES:
waterbody
... (12 more variables)


Victoria County Wave Data


Wave and SST for Sable Island South SPOT 1431

Summary:
Sofar Spotter 2 deployments on the south side of Sable Island, NS. Two buoys, each in approximitely 30m of water.

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
surface_temp (temperature on the ocean surface of buoy location, degree_C)
wave_mean_direction (mean direction of the incoming waves during sample time, degrees)
wave_mean_directional_spread (variance-weighted mean in oncoming wave direction during sample time, degrees)
wave_mean_period (mean period of the waves during sample time, seconds)
wave_peak_direction (direction of the largest waves, degrees)
wave_peak_period (period of the largest waves, seconds)
wave_significant_height (wave height of the largest 1/3 of waves measured, meters)
wave_peak_directional_spread (variance-weighted mean in oncoming waves direction for peak wave during sample time, degrees)
wind_direction (calculated wind direction from onboard sensor data, degrees)
wind_speed (calculated wind speed from onboard sensor data, m/s)


Wave and SST for Sable Island South SPOT 1461


XEOS HK4 Buoy Wave Sensor

Summary:
The Brizo is a GNSS-based, directional wave height sensor. Developed by Xeos Technologies, it is a breakthrough product on the market that provides significant wave height, maximum wave height, peak wave period, average wave direction, and average wave spread. It was installed on the HK4 navigational buoy in the Halifax Harbour near Meagher's Beach.

When the Port Authority raised a need for capturing wave data at this location, Xeos Technologies was happy to provide and install its own wave height sensor for the SmartAtlantic project. It is an opportunity to aid in the environmental monitoring of harbor conditions.

cdm_data_type = TimeSeries
VARIABLES:
station_name
time (Timestamp, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
precise_lon (Precise Longitude, degrees_east)
precise_lat (Precise Latitude, degrees_north)
wave_ht_sig (Sea Surface Wave Significant Height, m)
wave_period_max (Sea Surface Wave Maximum Period, s)
wave_ht_max (Sea Surface Wave Significant Height, m)
wave_dir_avg (Sea Surface Wave To Direction, degree)
wave_spread_avg (Wavespread, degree)


Yarmouth County Water Quality Data

Summary:
The Centre for Marine Applied Research (CMAR) provides high resolution ocean data from around the coast of Nova Scotia through their Coastal Monitoring Program. Through the Water Quality Branch of the program, CMAR collects temperature, dissolved oxygen, and salinity data using sensors deployed on stationary moorings. A typical mooring consists of a line anchored to the sea floor and suspended by a sub-surface buoy, with sensors attached at various depths. Alternatively, sensors may be attached to structures including buoys, docks, or aquaculture equipment. Sensors are deployed for several months, and data are measured every 1 minute to 1 hour. Station locations, summary reports, and data collection methods are available on the CMAR website (https://cmar.ca/coastal-monitoring-program/). Datasets and reports may be revised pending ongoing data collection and analyses. Automated Quality Control tests were applied to the data to identify outlying and unexpected observations. The results of these tests are summarized in the “qc_flag” columns of the dataset. Observations flagged as “Pass” passed all tests, while observations flagged as “Fail” failed at least one test and should be excluded from most analyses. “Suspect/Of Interest” flags highlight unusual events or poor quality data, and “Not Evaluated” flags indicate at least one test was not applied to the observation. Flags should be used as a guide only, and users are responsible for evaluating the data quality prior to use. For technical details on the Quality Control tests, visit the CMAR Data Governance website (https://dempsey-cmar.github.io/cmp-data-governance/pages/cmp_about.html). Other data quality considerations:  -       Through calibration-validation procedures, CMAR has discovered that the VR2AR temperature sensors typically record 0.5 – 1 °C lower than other temperature sensors. This is not corrected for or flagged in the datasets but may be in the future. - Sensor drift is not flagged in the datasets. -  The sensor_depth_at_low_tide_m is an estimate and should be compared to sensor_depth_measured_m when possible. Note the mooring can get “knocked down” by currents or sink from biofouling. Large discrepancies between the estimated depth and the minimum recorded depth are flagged in the column depth_crosscheck_flag. The Coastal Monitoring Program Water Quality data is organized by county. These datasets are very large, typically exceeding the number of rows that can be viewed in Excel. CMAR recommends filtering the data to the waterbody, station, depth, quality control flag, and/or time period of interest before exporting. Take care when exporting data filtered on quality control columns, because the whole row will be filtered (i.e., all other variables measured at that timestamp will also be excluded).  If you have accessed any Coastal Monitoring Program data, CMAR would appreciate your feedback: https://forms.gle/AyD7Vi3BpKGe6ueYA. Please acknowledge the Centre for Marine Applied Research in any published material that uses this data. Contact info@cmar.ca for more information.

cdm_data_type = TimeSeries
VARIABLES:
waterbody
... (20 more variables)


Yarmouth County Wave Data