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Fish larvae in Hudson Bay
Centre for Earth Observation Science
Centre for Earth Observation Science — 2022-12-12 Fish larvae collected via horizontal tows in the Hudson Bay system on the CCGS Amundsen in 2005, 2010, 2012, 2017 and 2018.
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FTIR Autecological Analysis of Bottom-Ice Diatom Taxa
Centre for Earth Observation Science
Centre for Earth Observation Science — 2022-03-01 A recent study demonstrated that a tidal strait, where a shoaled and constricted waterway increases tidally driven sub-ice currents and turbulence, represent ice algal production hotspots due to a hypothesized enhanced ocean-ice nutrient supply. Based on these findings, we sampled the bottom-ice algal community across the same tidal strait between the Finlayson Islands within Dease Strait, Nunavut, Canada in spring 2017. Our objective was to examine sea ice diatom cellular responses to two expected nutrient supply gradients in their natural environment: (1) a spatial gradient across the tidal strait and (2) a vertical gradient up into the bottom-ice matrix. Two diatom taxa, Nitzschia frigida and Attheya spp. within the bottom-ice sections (0-2, 2-5, and 5-10 cm) under thin snow cover (<5 cm) were selected for Fourier Transform Infrared (FTIR) spectrochemical analysis for lipid and protein content. Results from the FTIR technique strongly supported the existence of a spatial nutrient gradient across the tidal strait of the Finlayson Islands, while particulate organic carbon (POC) and chlorophyll a (Chl a) concentration estimates were difficult to interpret. Spatially, the larger N. frigida cells appeared to be more sensitive to the nutrient gradient, significantly increasing (decreasing) in lipid (protein) content towards the outside of the tidal strait. In contrast, the epiphytic diatom, Attheya spp., was more sensitive to the vertical gradient, where above 2 cm into the bottom-ice matrix, the non-motile cells were trapped with a depleted nutrient inventory and evidence of a post-bloom state. Application of the FTIR technique to estimate algal cell biomolecular composition provided new insights on the response of the bottom-ice algal community to the examined nutrient supply gradients that could not be attained from conventional bulk measurements alone. Therefore, future studies are encouraged to employ the use of this technique. Dataset consists of multiple tabs: 1. Metadata 2. Nitzschia frigida data 3. Attheya spp. data 4. Ice Algae Community 5. Diatom Population 6. FTIR Target Cells 7. Nutrients 8. POC & Chl a 9. PAR 10. Snow & Ice measurements
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Light and biology (various measurements) - Hudson Bay 2018
Centre for Earth Observation Science
Centre for Earth Observation Science — 2022-03-15 The dataset includes calculations of various parameters that are based on measurements during the BaySys cruise in Hudson Bay in June/ July 2018.
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IPY-CFL Ice Beacon Data
Centre for Earth Observation Science
Centre for Earth Observation Science — 2022-02-14 Ice beacons are used to monitor sea ice motion, which is an important element in mass balance calculations, ice thermodynamic modeling, ice management and ecosystem studies. During the IPY-CFL project a total of 22 ice beacons were launched in Franklin Bay from November 2007 to May 2008. Measured parameters include latitude, longitude, speed and direction.
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James Bay stable isotopes data 2019
Centre for Earth Observation Science
Centre for Earth Observation Science — 2023-10-24 This dataset comprises the stable isotopes values of 341 analyzed melted ice samples from 19 cores collected in James Bay and Belcher Islands in 2019.
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Keeyask Area Water Chemistry Data 2021
Centre for Earth Observation Science
Centre for Earth Observation Science — 2024-05-15 This dataset contains water chemistry parameters measured near the Keeyask Generating Station in northern Manitoba, Canada. Water samples were collected by the Hydrometric Section, Waterway Approvals & Monitoring Department for the Keeyask Physical Environment Monitoring Program. The samples were processed at the Centre for Earth Observation Science, University of Manitoba and submitted to the Freshwater Institute, Department of Fisheries and Oceans for chemical analysis.
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SERF Mercury Experiment 2019
Centre for Earth Observation Science
Centre for Earth Observation Science — 2024-09-03 This dataset includes measurements from the SERF mesocosm from the 2019 and 2022 experiments.
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Polar cod taxonomy
Centre for Earth Observation Science
Centre for Earth Observation Science — 2021-10-12 In Arctic seas, polar cod (Boreogadus Saida) is the primary forage fish, and is the main source of food for ringed seals and the belugas. This dataset describes the taxonomic identification of Boreogadus Saida captured with the deployment of horizontal nets.
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Mesozooplankton taxonomy
Centre for Earth Observation Science
Centre for Earth Observation Science — 2022-04-12 Taxonomic identification and abundance of mesozooplankton in the Hudson Bay system. The data set combines vertical tows carried out in five different expedition aboard the CCGS Amundsen in 2005, 2010, 2012, 2017, 2018. Species identification was carried out at the Fortier lab in Université Laval.
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BaySys Ice Beacon Data- Churchill River (2017) and Hudson Bay (2018)
Centre for Earth Observation Science
Centre for Earth Observation Science — 2021-11-04 A series of focused field programs took place within Hudson Bay during 2017 to provide a time series of winter and summer observations from the Bay. The first of these field programs was a winter survey of the Churchill River estuary and mobile ice pack offshore from Cape Churchill in Southwestern Hudson Bay. In summer 2018, 10 ice beacons were also deployed to track the movement of the ice pack and gain insight into the double gyre current movement in this area of the bay.
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Chlorophyll-a concentration in ice and water - Hudson Bay 2018
Centre for Earth Observation Science
Centre for Earth Observation Science — 2022-03-11 These datasets include measurements of chlorophyll-a concentration of: - Bottom-ice communities and Melosira arctica - Phytoplankton and melt pond communities Data was collected in Hudson Bay during the BaySys cruise in June/ July 2018. Pigment concentrations were determined with the fluorometry method.
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Bias-corrected CMIP6 Daily Sea Ice Concentration in the Barents and Kara Seas
Centre for Earth Observation Science
Centre for Earth Observation Science — 2023-07-21 Daily sea ice concentration (1950 - 2050) from models participating in version 6 of the Coupled Model Intercomparison Project is reprojected to the WGS84/NSIDC 25-km North Polar Stereographic grid (EPSG: 3413) using the NOAA/NSIDC Climate Data Record of passive microwave-derived sea ice concentration as the reference dataset and a modified version of the MAVRIC bias correction method described by Melia et al. (2015; DOI: 10.5194/tc-9-2237-2015). Corrections are based on a combination of mean bias for the period 1979-2014 and bias in the detrended standard deviation. The full equation is SICadj = (SICmod – SICmod.11) * (SDobs.clim / SDmod.clim) + SICmod.11 * (AVGobs.clim / AVGmod.clim) Where SICadj is the adjusted sea ice concentration from a model on a given day for a given grid cell, SICmod is the original modeled sea ice concentration, SICmod.11 is the 11-year moving average of sea ice concentration, SD is the detrended standard deviation of sea ice concentration for the period 1979-2014 (which is the overlap of the historical experiment and the passive microwave record) for the observations (obs) and model (mod), and AVG is the average sea ice concentration for the period 1979-2014. Corrections are applied separately for each model, grid cell, and day-of-year. The difference between our method and Melia et al. (2015) is that they were working only with models that provided an ensemble of simulations, so they used ensemble means for the climatology and 11-year running mean modeled variables (SICmod.11, SDmod.clim, and AVGmod.clim). Since we could not do this for most models, we chose to only use a single ensemble member from each model. Following the downscaling procedure, some sea ice concentration values will fall below 0% or over 100%, which is physically unrealistic. Any value below 0% is replaced by 0%, and any value above 100% is replaced by 100%. Data are stored in decadal files and grouped in zipped folders by model and experiment. Data from purely the historical experiment covers 1950-2009. The future experiment files (a.k.a. "Shared Socioeconomic Pathways" or SSPs) cover 2010-2050. Because of the use of an 11-year moving average, although the historical experiments run through 2014, every year 2010-2014 always must include data from an SSP experiment to maintain a full 11 years of data. Therefore, years from 2010 -2019 are based on the concatenation of the historical experiment along with each SSP experiment.
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Cambridge Bay Snow Depth - April 2022
Centre for Earth Observation Science
Centre for Earth Observation Science — 2024-03-05 The dataset contains the snow depth on sea ice in cm collected from 4 different locations at the Dease Strait near Cambridge Bay. The sites were collocated to the CRYO2ICE track passing by the region on 29th April 2022. The data were collected using an automated snow depth probe.
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Fagradalsfjall Iceland Eruption - Mercury sampling campaigns 2021-2022
Centre for Earth Observation Science
Centre for Earth Observation Science — 2023-09-12 Raw data from 2021-2022 mercury and major gas sampling campaigns at Fagradalsfjall volcano, Iceland, and data used for figures (raw and interpreted products/literature data) for scientific publication(s) resulting from this work.
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Iceland Geothermal Mercury Study 2021-2022
Centre for Earth Observation Science
Centre for Earth Observation Science — 2024-02-23 Raw data from 2021-2022 geothermal mercury sampling campaigns across Iceland, and data used for figures (raw and interpreted products/literature data) for scientific publication(s) resulting from this work. ### Related Data Mercury and major gas sampling data from the Fagradalsfjall Iceland Eruption can be found **[here](https://canwin-datahub.ad.umanitoba.ca/data/dataset/fagradalsfjall-mercury-data-2021-2022)**.
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Lake Winnipegosis CTD Idronaut data
Centre for Earth Observation Science
Centre for Earth Observation Science — 2023-01-04 Curated dataset for CTD downcast measurements for stations located in Lake Winnipegosis.
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NEMO-ANHA4 Sea ice locking of icebergs
Centre for Earth Observation Science
Centre for Earth Observation Science — 2023-11-08 This dataset contains the model output used in _Marson et al. 2023/2024_. The simulations were carried out with the Nucleus for European Modelling of the Ocean (NEMO) at 1/4 degree resolution over the Arctic and Northern Hemisphere Atlantic (ANHA) domain. The simulation labelled SIL differs from the CTL simulation only in the parameterization of the sea ice force over icebergs: while in CTL it is simply a drag force, in SIL sea ice above 90% concentration is capable of locking icebergs. **Please see the supplemental file below for a description of the data files and variables. This information can also be found under _Analytical Method Summary_ in the metadata.**
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Ocean biogeochemical measurements from the eastern Canadian Arctic - 2014
Centre for Earth Observation Science
Centre for Earth Observation Science — 2023-03-31 This dataset includes CTD measurements (temperature, salinity, and seawater pressure) as well as measurements of various biogeochemical parameters (oxygen, nutrients, chlorophyll-a fluorescence, fluorescence of CDOM), and measurements of the seawater carbonate system (dissolved inorganic carbon and total alkalinity). Sampling locations are scattered throughout eastern Canadian Arctic waters, including Baffin Bay, Nares Strait, Lancaster Sound, Barrow Strait, and Coronation Gulf.
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Optical measurements of sea ice - Hudson Bay 2018
Centre for Earth Observation Science
Centre for Earth Observation Science — 2022-03-15 The dataset includes optical measurements and sea ice surface measurements performed on mobile ice floes during the BaySys cruise in Hudson Bay in June/ July 2018.
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Photosynthesis-irradiance in ice and water - Hudson Bay 2018
Centre for Earth Observation Science
Centre for Earth Observation Science — 2022-03-09 These datasets describe photosynthesis-irradiance relationships that were used for: 1. Primary production of bottom-ice communities and Melosira arctica 2. Estimation of primary production of phytoplankton and melt pond communities Data was collected during the BaySys cruise in Hudson Bay in June/ July 2018.

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