AndreaBozzo/ceres-open-data-index huggingface dataset:
Multibeam Sonar Data collected from the CCGS Amundsen (2003-2016)

Accoustic data was generated from the multibeam Kongsberg Simrad EM300 (2003-2008) and EM302 (2008-2016) multibeam sonar system onboard the CCGS Amundsen during ArcticNet Cruises. This bathymetric data subset covers the Canadian Arctic and includes all CCGS Amundsen's data. The datasets consist of high-resolution bathymetry and acoustic backscatter imagery collected 24 hours a day, whenever the ship was in transit or had dedicated survey time. 

Standard collection settings used dual-ping, FM pulse, auto depth mode, angular coverage of +/- 60 degrees and high density equidistant beam forming. The SIS software was used to collect the data.

From 2003-2013, near realtime cleaning of data outliers was done using the Ocean Mapping Group's Swathed toolkit after conversion to OMG binary format. After 2014, the data cleaning was done in the CARIS HIPS&SIPS software. Data was exported in Generic Sensor Format (.gsf).

IMU data was parsed by SIS from a POSMv 320 v.4. RTG GPS data from the CNAV 3050 GNSS receiver was used to correct and improve the position output from the POSMV via a RTCM correction protocol. Soundspeed information was either from CTD Rosette casts, MVP300 data or simulated from the World Ocean Atlas 2009 database. 

Data are gridded at a resolution of 10 metres. Grid files available are in binary floating point file (.flt). The grids will be available shortly on the Université Laval library's geospatial center website (www.geoindex-plus.bibl.ulaval.ca/).

Note: The OMG of University of New Brunswick were responsible for 2003-2013 data (www.omg.unb.ca/Projects). From 2014, responsibility switched to the Marine Geoscience Laboratory At Université Laval (www.lgm.ggr.ulaval.ca/index.php/projets/amundsen/).

Organization: Amundsen Science
WHaLE in Gulf of St. Lawrence 2021-07-05

DMON deployment in Gulf of St. Lawrence. 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.

Organization: CIOOS-Atlantic
Halifax Ocean Terminals: Pier 9C

Deployed in November 2014, the Meteorological Station is located at Pier 9C of the Halifax Ocean Terminals. The station consists of an RM Young Model 85004 anemometer, mounted on a three-meter boom arm approximately 10 meters above ground level, affixed to a light standard at the end of the pier. Data from the station is available in near-real time and is utilized by mariners in this region in support of safer and more efficient marine operations.

Organization: CIOOS-Atlantic
Maritimes Region Historical Arctic  Rosette Vertical Profiles

Historical missions to the Arctic region in which DFO Bedford Institute of Oceanography participated in between 1975 and 1990 and one mission in 2013. These missions were part of various projects and visited several areas within the Arctic such as;  Hudson Bay, James Bay, Baffin Bay, Baffin Island Fjords,  Lancaster Sound, Davis Strait, Hudson Strait,  Labrador Sea, Northwest Passage, Greenland and the Norwegian Sea.

Organization: CIOOS-Atlantic
Halifax Line Monitoring in Northwest Atlantic Ocean 2018-05-17

Offshore Halifax testing. 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.

Organization: CIOOS-Atlantic
Passive Acoustic Monitoring for Baleen whales in the Honguedo Strait in Gulf of St. Lawrence 2019-09-04

DMON deployment in the Honguedo Strait. 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.

Organization: CIOOS-Atlantic
Acoustic recordings of North Atlantic right whale upcalls in the Gulf of St. Lawrence

The acoustic data were collected between 2015 and 2019 at six stations in the southern Gulf of St. Lawrence using two different deployment configurations. The dataset also includes audio samples from the Gulf of Maine recorded in 2009, which were part of the DCLDE 2013 Challenge dataset (https://soi.st-andrews.ac.uk/static/soi/dclde2013/documents/WorkshopDataset2013.pdf).

The acoustic data are supplemented by expert annotations indicating the presence/absence of North Atlantic right whale upcalls. Spectrogram images are also provided.

These data have been used to train a deep neural network to detect North Atlantic right whale upcalls, as described in the article "Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls" by Kirsebom, Frazao, Simard, Roy, Matwin, and Giard (doi:10.1121/10.0001132), which also contains a detailed description of the data.

The software developed as part of this work is available on Zenodo (doi:10.5281/zenodo.3736625) under a GPLv3 license. This includes Python scripts for building training and test datasets, computing signal-to-noise ratios, visualizing spectrograms, training the deep neural network, and using the network to analyze continuous audio recordings.

Organization: CIOOS-Atlantic
Halifax Line Monitoring in Northwest Atlantic Ocean 2016-04-05

Offshore Halifax Testing. 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.

Organization: CIOOS-Atlantic
Queens County Water Quality Data

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.

Organization: CIOOS-Atlantic
Maps of eelgrass (Zostera marina) collected using drone in Placentia Bay, Newfoundland in 2020

This dataset contains raster files of eelgrass distribution at three sites (Swift Current, North Harbour, and Bay de L’Eau) in Placentia Bay, Newfoundland. This dataset was collected in the summer and falls 2020 and published in 2023. The shapefiles were created using the procedure detailed in Prystay et all. 2013: 10.1139/facets-2022-0149. First, aerial images of eelgrass beds were collected using drone and a systematic survey design. Images were then combined to create orthomoisaics. Finally, orthomosaics were analyzed using an automatic classification method to distinguished eelgrass from other substrate type (sediment, seaweed). Classification was informed and validated using validation points. It is important to understand that the raster files are estimation of eelgrass distribution from aerial images. Errors may have occurred during the habitat classification. This dataset is to be used for noncommercial purposes only.

Organization: CIOOS-Atlantic
Cape Breton County Water Quality Data

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.

Organization: CIOOS-Atlantic
HFX in Northwest Atlantic Ocean 2014-10-16

Offshore Halifax Testing. 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.

Organization: CIOOS-Atlantic
Halifax Line Monitoring in Northwest Atlantic Ocean 2015-07-28

59. 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.

Organization: CIOOS-Atlantic
Newfoundland and Labrador Region Multi-Species Survey Trawl-Mounted CTD Profiles

The Department of Fisheries and Oceans Canada (DFO), Newfoundland and Labrador Region, has undertaken stratified-random multi-species surveys in portions of Northwest Atlantic Fisheries Organization (NAFO) subareas 2 and 3 since the early 1970’s. The current survey design covers an expansive spatial area, spanning six NAFO divisions (2HJ3KLNO) and 515,000 km2 in the autumn and four NAFO divisions (3LNOP) and 324,000 km2 in the spring. The survey aims at determining the distribution and abundance of commercial and non-commercial fish and invertebrate species with respect to position, depth, and temperature, and to collect biological samples. 

In 1989 DFO developed a shock-absorbing CTD sled containing a Seabird model SBE-19 CTD that could be mounted on a trawl, which is now the primary instrument used to collect physical oceanographic data (e.g., T, S) during multi-species surveys in NL region. The package attached to the trawl head-ropes records time, water pressure, temperature, and conductivity for the duration of the fishing set. In the event of instrument failure an expendable bathythermograph (XBT) is deployed.

In addition, this survey samples the high-frequency station, Station 27, in collaboration with the Atlantic Zone Monitoring Program (AZMP).

This record includes only hydrographic/CTD data collected during the spring and autumn multi-species surveys, conducted between 1995 to present.

Organization: CIOOS-Atlantic
MUN Glider Deployment: Unit 473, Trinity Bay, 2018-09-05

Over the past 15 years, Memorial University has been involved in various ocean glider activities, with deployments focused primarily on the Newfoundland Shelf and the Labrador Sea. For example, four deployments with glider data are in the Labrador Sea. Partnerships with Fisheries and Oceans Canada and Ocean Gliders Canada have also resulted in deployments of Memorial's gliders in the Pacific. The data contain 14,663 mission km, 620 deployment days and 25,108 individual glider profiles.

L1 NetCDF files for every deployment archived on Memorial University's Glider Data server are publicly available for scientific research. Deployments vary in duration and region. All files were processed with the SOCIB glider toolbox (Troupin et al., 2015), modified by Nicolai von Oppeln-Bronikowski, 2019 for MUN glider deployments.

This glider deployment occurred between 05 Sep 2018 and 11 Sep 2018 over the Trinity bay area, Canada.

Organization: CIOOS-Atlantic
WHaLE in Gulf of St. Lawrence, Northwest Atlantic Ocean 2016-07-24

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 The Slocum glider was designed and oceans. built by Teledyne Webb Research Corporation, Falmouth, MA, USA.

Organization: CIOOS-Atlantic
MUN Glider Deployment: Unit 473, Labrador Shelf, 2014-07-05

Over the past 15 years, Memorial University has been involved in various ocean glider activities, with deployments focused primarily on the Newfoundland Shelf and the Labrador Sea. For example, four deployments with glider data are in the Labrador Sea. Partnerships with Fisheries and Oceans Canada and Ocean Gliders Canada have also resulted in deployments of Memorial's gliders in the Pacific. The data contain 14,663 mission km, 620 deployment days and 25,108 individual glider profiles.

L1 NetCDF files for every deployment archived on Memorial University's Glider Data server are publicly available for scientific research. Deployments vary in duration and region. All files were processed with the SOCIB glider toolbox (Troupin et al., 2015), modified by Nicolai von Oppeln-Bronikowski, 2019 for MUN glider deployments.

This glider deployment occurred between 05-Jul-2014 and 19-Aug-2014 over the Labrador Shelf, Canada.

Organization: CIOOS-Atlantic
HFX in Northwest Atlantic Ocean 2015-03-31

Offshore Halifax Testing. 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.

Organization: CIOOS-Atlantic
NEGL, Rigolet, Nunatsiavut (NLQU0002)

NEGL - Rigolet, Nunatsiavut (NLQU0002). Tri-leg tower masts are 25 feet tall (7.62 m) and stations are all located at mid-slopes in cleared terrain.  Sites at Cartwright Junction, near Red Bay and at North West River all include fence enclosures which may impact snow accumulation at these sites.  All stations are owned and operated by the Northern Environmental Geoscience Laboratory led by Dr. Robert Way. All stations were established in partnership with the communities of Black Tickle, North West River, Rigolet, Red Bay and Rigolet.  Support for this project was received from the Labrador Institute of Memorial University of Newfoundland, the Nunatsiavut Government, the NunatuKavut Community Council, the Government of Newfoundland and Labrador's Department of Fisheries and Land Resources & Department of Municipal Affairs and Environment, and Queen's University.  Funding for this project was received from Crown-Indigenous and Northern Affairs Canada (Government of Canada) through the Indigenous Community-Based Climate Monitoring Program. Climate stations were purchased from Forest Technology Systems Inc headquatered in British Columbia, Canada.

Organization: CIOOS-Atlantic
Maritimes Region Atlantic Zone Monitoring Program (AZMP) Moored Time Series Data

The Atlantic Zone Monitoring Program (AZMP) was implemented in 1998 with the aim of detecting and tracking climate change and variability in the northwest Atlantic, evaluating changes in the physical, chemical and biological ocean properties and predator-prey dynamics of marine resources, thereby enhancing Canada's ability to understand, describe, and forecast the state of the marine ecosystem. AZMP's sampling scheme in the Maritimes Region involves oceanographic sampling at two high-frequency (biweekly to monthly) fixed coastal stations, biannual sampling at stratified-random locations during DFO-led Ecosystem Trawl Surveys, biannual sampling along fixed cross-shelf sections (Cabot Strait Line, Louisbourg Line, Halifax Line, Browns Bank Line, and the Northeast Channel); the latter of which may also include opportunistic sampling at stations in the Laurentian Channel, Gulf of Maine, and various Marine Protected Areas (MPAs) in support of ancillary research programs and initiatives. In addition to the sampling there are regular moorings on the Scotian Shelf mostly along the Halifax Line to measure time series physical (e.g., T, S, currents) and chemical (e.g., oxygen).  This data is used for comparison with the numerical model transport estimates of the Nova Scotia Current off of Halifax.  

The data collected are synthesized into two annual reports on the physical and chemical/biological changes in the Maritimes Region, and are also used to evaluate changes across the Atlantic zone.

Organization: CIOOS-Atlantic
Cloud base height in the Northwest Passage and the Beaufort Sea, 2015

Processed atmospheric ceiling heights were recorded from a CT25K ceilometer. The instrument was mounted on the CCGS Amundsen icebreaker on the port side directly behind the ship's wheelhouse. Data were collected during transit, set transects, 24-hour stations, and multi-day drift stations. The instrument was running continuously during the project, with only minor interruptions for maintenance activities.

Organization: Amundsen Science
Ship-Based Incoming Solar and Longwave Radiation, 2009 ArcticNet, Beaufort Sea

During the ArcticNet annual cruises of the research icebreaker CCGS Amundsen, characteristics of the near-surface atmosphere (basic meteorological elements, incident radiation, CO2 concentration) are monitored in conjunction with surface sea water properties (temperature, salinity, dissolved CO2 and O2) to observe the relationship between the surface micro-climate and the air-sea exchange, with particular interest in CO2.  As part of this integrated dataset, the following radiation variables were recorded at 1 minute intervals (instrument used to collect each variable is in parentheses):

-Incoming shortwave radiation (Eppley pyranometer, model PSP)
-Incoming longwave radiation (Eppley pyrgeometer, model PIR) 
-Incoming photosynthetically active radiation (Kipp & Zonen, PAR-Lite)

All instruments were mounted on a platform above the wheelhouse of the CCGS Amundsen

Organization: Amundsen Science