Onshore research was conducted using the following methods: multi-temporal analysis and mapping of modern and raised coastal systems using airphotos, satellite imagery, LiDAR and RTK GPS surveys. Data on the sediment composition of coastal landforms was collected using graded photographs and in situ measurments of gravel samples. Shallow-water mapping of transgressive coastal systems was carried out using multibeam sonar and sub-bottom profiler primarily from the CCGS Amundsen (EM300 30 kHz) and the CSL Heron (EM3002 3.5 kHz) during the 2006 ArcticNet NCE scientific cruise and from the CCGS Henry Larsen and the CSL Heron in 2008.

Onshore research was conducted using the following methods: multi-temporal analysis and mapping of modern and raised coastal systems using airphotos, satellite imagery, LiDAR and RTK surveys. Data on the sediment composition of coastal landforms was collected using graded photographs. Shallow-water mapping of transgressive coastal systems was carried out using multibeam sonar and sub-bottom profiler primarily from the CCGS Amundsen and the CSL Heron during the 2006 ArcticNet NCE scientific cruise.

Accoustic data was generated using an EM300 (2003-2008) and EM302 (2008-2017) multibeam sonar system onboard the CCGS Amundsen during ArcticNet Cruises. This bathymetric dataset covers the Canadian Arctic and includes all bathymetric data collected from CCGS Amundsen. The dataset consists of high-resolution bathymetry and acoustic backscatter imagery collected 24 hours a day, whenever the ship was in transit or during 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 using 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: 2003-2013 data was collected and processed by the OMG of University of New Brunswick (www.omg.unb.ca/Projects). 2014-2017 data was collected and processed by the Marine Geoscience Laboratory at Université Laval (www.lgm.ggr.ulaval.ca/index.php/projets/amundsen/). The 2018 data was collected and processed by Amundsen Science (http://www.amundsen.ulaval.ca). In 2018, Amundsen Science included the multibeam bathymetry data into the Amundsen Science Data Collection.

The multibeam bathymetry data is acquired with a multibeam sonar Kongsberg EM302. For complete acquisition and processing description, see the Polar data Catalogue Metadata CCIN 12586 and 12732. Additionnal post-processing and data cleaning of the bathymetry was performed using the CARIS HIPS&SIPS 9.0 and BASE Editor 4.1. Sub-bottom profiles showing seabed stratigraphy were acquired with a Knudsen 320-BR sub-bottom profiles, operated at a frequency of 3.5 kHz. The profiles were processed using the Natural Resources Canada software suite. Ten (10) sediment cores from various locations are stored in the Laboratoire de Géoscience marine's (LGM) core archive. Each core was logged with a CT-scan. Further analysis will be performed in the next months/years.

A deep water (100 to 1500 m), continental slope-focused field program was carried out over four years, covering the eastern, central and finally, the western Beaufort Sea regions during survey expeditions in 2011, the western Beaufort in 2012, and 2014. This was supported through the BREA program (Beaufort Regional Environmental Assessment) with funds from AANDC (Aboriginal Affairs and Northern Development). Research activities were conducted in collaboration with ArcticNet, the Geological Survey of Canada (GSC), Imperial Oil, and British Petroleum and Chevron Canada. The primary survey platform was CCGS Amundsen. Supplementary datasets from these collaborators contributed to survey concepts and specific targets but are not part of the BREA dataset. An amalgamation of all the continental slope-related data (from and including 2009) are included in the dataset. Data generated through these activities included multibeam (ca. 9500 square km at 50 m resolution) and sub-bottom profiler sonars (nearly 41 000 km) and seabed sediment cores to investigate deep water geohazards through geotechnical, stratigraphic, age-dating, and interpretations of geo-features and processes related to sediment instability. These data continue to be a primary dataset for GSC (Geological Survey of Canada) scientists to enable their present focus on assessment of seabed instability.

Multibeam echosounder data near Qikiqtarjuaq were collected by the CCGS Amundsen in 2007 and by the RV Nuliajuk from 2012-2015. Data collected between 2007 and 2014 were processed by the Ocean Mapping Group at the University of New Brunswick (http://www.omg.unb.ca/) and were retrieved from their data sharing interface (http://www.omg.unb.ca/Projects/Arctic/SE_Baffin/). Data collected in 2015 were processed by the Fisheries and Marine Institute at Memorial University of Newfoundland (https://www.mi.mun.ca/) and were obtained directly from them. These datasets were clipped to only include the area near Qikiqtarjuaq relevant to the benthic habitat mapping project lead by the Memorial University Marine Habitat Mapping Group. Individual datasets were mosaicked to create single continuous bathymetry (m) and backscatter (dB) raster layers at 5 m resolution. Mapping activities were funded by ArcticNet and the Government of Nunavut, Department of Environment, Fisheries and Sealing Division to support benthic habitat mapping for marine ecosystem management in this area.

Benthic grab samples and underwater towed video samples were collected at long-term ecology sites while onboard the Government of Nunavut vessel MV Nulialjuk and CCGS Amundsen in July and October 2016. On-board the MV Nulialjuk, benthic grab samples (triplicate samples) and underwater towed video samples were collected at 5 long-term ecology stations near Iqaluit. An additional 7 benthic grab samples (triplicate samples) and towed video samples were collected near Cairn Island. On-board the CCGS Amundsen, benthic grab samples were collected at two long-term ecology stations (triplicate samples) near Cairn Island. Sampling gear included a Van Veen grab sampler, box core, and HD GoPro video system. Initial observations suggest that these stations are predominantly muddy sand with some larger cobbles present. Towed video analysis and benthic grab samples indicate the presence of the algae Laminaria sp. and Agarum clathratum and bivalves Mya truncata, Yoldia hyperborea, Clinocardium ciliatum, and Serripes groenlandicus. Ophiuroid echinoderms and tubiculous polychaete worms and tubes are abundant. Once all benthic grab samples and towed video samples are processed, this data will be compared with the historic sample data to answer questions about the nature of long-term change of the benthos at this region in inner Frobisher Bay.

Acoustic data was generated from the multibeam Kongsberg Simrad EM300 and EM302 multibeam sonar system on the CCGS Amundsen. This bathymetric data subset covers the Greenlandic Economic Exclusive Zone (EEZ), i.e. outside of the 12 nm territorial sea extent and within the 200 nm EZZ, from 2003 to 2014. 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 beamforming. The SIS software was used to collect the data, while near real-time cleaning of data outliers was done using the Caris HIPS&SIPS software after conversion to Generic Sensor Format (GSF) for input into MB-System database manager. Inertial Measurement Unit (IMU) data was parsed by SIS from a POSMv 320 v.4. RTG GPS data from the CNav 3050 GPS was used to correct and improve the position output from the POSMv with RTCM correction. Soundspeed information was either from CTD Rosette casts, MVP300 data or simulated from the World Ocean Atlas 2009 database. The resolution of data is 10 metres. Available tiles are in ESRI grid format (.asc). The OMG of University of New Brunswick were responsible for 2003-2013 data (http://www.omg.unb.ca/Projects). From 2014, responsibility switched to the Marine Geomorphology Laboratory of Laval University.

Multibeam sonar data and accompanying acoustic sub-bottom profile data were collected using the multibeam echosounder aboard the scientific icebreaker CCGS Amundsen. Particular focus in 2017 and 2018 mapping was on deep water troughs with apparent mega-scale glacial lineations (MSGL) in the northwest portion of outer Frobisher bay, and in the deep fault-bounded southwest margin of outer Frobisher bay.

Datasets were collected and processed by the Ocean Mapping Group, University of New Brunswick. Accoustic data was generated from the multibeam Kongsberg Simrad EM302 multibeam sonar system onboard the CCGS Amundsen during ArcticNet Cruises. This bathymetric data subset covers the Greenland Economic Exclusive Zone (EEZ), i.e. outside of the 12 nm territorial sea extent and within the 200 nm EZZ, from 2005 to 2011 and 2013. 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 beamforming. SIS was used to collect the data, while near realtime cleaning of data outliers was done using the Ocean Mapping Group's Swathed toolkit after conversion to OMG binary format. IMU data was parsed by the SIS software from a POSMv 320 v.4. RTG GPS data from the CNav GPS was used to correct and improve the position output from the POSMv. Soundspeed information was either from CTD Rosette casts, MVP300 data or simulated from the World Ocean Atlas 2001 database. Data were gridded at a resolution of 10 metres. Grid files available are in ESRI grid format (.flt and .hdr files zipped for each mapsheet for the data from 2005 to 2011, and .asc files for the data of 2013). Futher information on data processing and on the Ocean Mapping Group activities are online at http://www.omg.unb.ca/Projects/Arctic/