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2021 Dataset produced during the research project "Sound Art Documentation : Spatial Audio and Significant Knowledge", funded by the Social Sciences and Humanities Research Council (SSHRC), and documented in the paper "Review of contemporary sound installation practices in Québec" published in the journal <a href="https://online.ucpress.edu/res" target="_blank">Resonance</a>. It provides a classification of contemporary sound installations in Québec based on a taxonomy developed during the project. The development of the taxonomy and the classification of items occurred in a continuous process controlled by theoretical sampling. The production of this dataset is linked to a specific paper. The methodology for producing the data set is documented in a second paper : Fraisse, V., Giannini, N., Guastavino, C., & Boutard, G. (in press). Experiencing sound installations: A conceptual framework. Organised Sound.
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2022-06-23 This dataset includes greenhouse gases (GHG; CO2 and CH4) and dissolved organic matter (DOM) concentrations and composition, and water chemical and geographic (i.e., climate, vegetation cover and pool morphometry) properties of peatland pools. To evaluate the inter-regional pattern of GHG and DOM concentrations and composition, we sampled water from 73 peatland pools across five regions in eastern Canada (Grande plée Bleue, southern Quebec and Minganie region, eastern Quebec) and southern Chilean Patagonia (Punta Arenas, Karukinka Park and Navarino Island) in mid-summer 2019 (July-August in Quebec and January-February in Patagonia). We also conducted inter-annual sampling in Grande plée Bleue in 2019 and 2020 (between June and September) to identify the temporal patterns in GHG and DOM concentrations and composition. We performed and validated a 3-component PARAFAC model to identify the DOM component in peatland pool. We used this data to understand and quantify the intra- and inter-regional patterns and drivers of DOM and dissolved GHG (CO2 and CH4) in peatland pools as well as their links in contrasting geographical conditions. Inter-regional spatial data: Area (m2), Depth (cm), Elevation (m), Trees (%), Shrubs (%), Herbs (%), Mosses (%), MAT (°C), MAP (mm), pH, TN (mg/L), TP (μg/L), DOC (mg/L), Specific UV absorbance (SUVA; Lmg/Cm), Ratio of absorbance at 465 nm to absorbance at 665 nm (E4/E6), Absolute concentrations (C1-C3; RU) and relative abundance (%C1-%C3) of dissolved organic matter, CO2-C (mg/L), CH4 (μg/L), CO2:CH4 and Temporal data: DO (mg/L), pH, TN (mg/L), TP (μg/L), NO3 (μg/L), NH4 (μg/L), PO4 (μg/L), DOC (mg/L), Specific UV absorbance (SUVA; Lmg/Cm), Absolute concentrations (C1-C3; RU) and relative abundance (%C1-%C3) of dissolved organic matter, CO2-C (mg/L), CH4 -C (μg/L), CO2:CH4
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2022-02-23 Land use fractions (urban, mines, agriculture, pasture, forestry, managed grassland, water and natural landscape) and associated human impact index in 101 lake watersheds sampled as part the NSERC Canadian Lake Pulse Network project. Land use and human impact index were calculated as described in Huot et al. (2019). Lakes IDs with respective locations (longitude and latitude coordinates) and Continental Basin allocations can be found here: https://doi.org/10.5281/zenodo.4701262 Reference: Huot, Y., C. A. Brown, G. Potvin, and others. 2019. The NSERC Canadian Lake Pulse Network: A national assessment of lake health providing science for water management in a changing climate. Sci. Total Environ. 695: 133668. doi:10.1016/j.scitotenv.2019.133668 Land use types: urban, mines, agriculture, pasture, forestry, managed grassland, water and natural landscape. Units: Land use fractions (Relative watershed land use). Human impact index, varying between 0 and 1, represents the mean of all the values across each cell in the raster layer of land use within a watershed (no units).
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2022-02-23 This data set contains cladoceran sub-fossil relative abundances for 101 lakes across Canada sampled as part of the NSERC Canadian Lake Pulse Network project. Lakes were sampled once, over three summers (2017-2018-2019). Cores were collected using a gravity corer in the deepest point of each lake and were sectioned on site with a vertical extruder. Each lake was sampled for a “top” sediment sample, represented by the first centimeter of the surface of the sediment core, and a “bottom” sediment sample, corresponding to the 1 cm of sediment located between 3 and 4 cm from the base of the core. Cladoceran extraction and preparation followed the protocol from Korhola and Rautio (2001). Cladocerans were identified using DM 2500 Leica compound inverted microscope under 200X-400X magnification with a minimal count size of 100 individuals. Identification at the species, genus, or species complex level followed Szeroczynska and Sarmaja-Korjonen (2007) and Korosi and Smol (2012a; b). Sites are identified with Lake ID number, followed by “T” for top samples and “B” for bottom samples. Lakes IDs with respective locations (longitude and latitude coordinates) and Continental Basin allocations can be found here: https://doi.org/10.5281/zenodo.4701262 References Korhola, A., and M. Rautio. 2001. Cladocera and other branchiopod crustaceans, p. 225–234. In J.P. Smol, H.J.B. Birks, and W.M. Last [eds.], Tracking Environmental Change Using Lake Sediments. Springer. Korosi, J. B., and J. P. Smol. 2012a. An illustrated guide to the identification of cladoceran subfossils from lake sediments in northeastern North America: Part 1-the Daphniidae, Leptodoridae, Bosminidae, Polyphemidae, Holopedidae, Sididae, and Macrothricidae. J. Paleolimnol. 48: 571–586. doi:10.1007/S10933-012-9632-3 Korosi, J. B., and J. P. Smol. 2012b. An illustrated guide to the identification of cladoceran subfossils from lake sediments in northeastern North America: Part 2-the Chydoridae. J. Paleolimnol. 48: 587–622. Szeroczyfiska, K., and K. Sarmaja-Korjonen. 2007. Atlas of Subfossil Cladocera from Central and Northern Europe, Friends of the Lower Vistula Society, Warsaw, Pol. Relative abundances of 58 cladoceran zooplankton species, genus, or species complexes.
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2022-01-13 <p>The SS5 subset of the Montreal Archive of Sleep Studies (MASS) cohort is an open-access database of laboratory-based polysomnography (PSG) recordings defined as :</p> <ul> <li>26 subjects (age 25&plusmn;7.4 years, age range: 20-59 years) <ul> <li>13 males (age 23&plusmn;2.2 years, age range: 20-27 years)</li> <li>13 females (age 26.9&plusmn;10 years, age range: 20-59 years)</li> </ul> </li> <li>26 PSG recordings (whole night) "* PSG.edf"<br /> <ul> <li>20 electrodes in the EEG montage <ul> <li>reference is linked-ear reference with a 10 k&Omega; resistance (LER)</li> </ul> </li> <li>2 EOG channels</li> <li>3 referential EMG</li> <li>1 ECG channel</li> </ul> </li> <li>26 Sleep staging files "* Base.edf"</li> <li>Sleep stage scoring rules : R&amp;K</li> <li>Page size (s) : 20</li> </ul> <p>The EMG channels are referential and not bipolar as stated in the paper (O'Reilly 2014).</p> <p>Sleep stage scoring does not necessarily start at the beginning of the PSG recording.</p> <p>Muscular artefact detections are available in the dataset named "SS5 Sleep Annotations" (<a href="https://doi.org/10.5683/SP3/7BBHEH" target="_blank" rel="noopener">https://doi.org/10.5683/SP3/7BBHEH</a>).</p>
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2022-06-20 The dataset contains all the method and data published by Emmanuel Dubois during his PhD project entitled impact of global changes on groundwater recharge in cold and humid climate, case study in southern Quebec (Canada). This research, carried out under the direction of Prof. Marie Larocque (UQAM), was part of a project aiming at developing new knowledge about the groundwater resources to anticipate the impact of climate change in southern Québec (Canada) and funded by the Québec Ministry of Environment and fight against climate change (MELCC). The study area, comprised of eight river watersheds and located between the St. Lawrence River and the USA-Quebec border (35 800 km2), is a strategic agricultural region with a hydrological dynamic led by cold winters and warm summers. The general objective of the research was to quantify the current and future impact of climate change on regional scale the groundwater recharge (GWR) in cold and humid climates, to better anticipate future conditions. Estimates of GWR were simulated with a 500 m x 500 m resolution and a monthly time step using the HydroBudget model (Dubois et al., 2021b), developed during the project. The model was calibrated over the 1961-2017 period using river flows and baseflows (Dubois et al., 2021a). It was used to simulate GWR over the 1961-2017 period (past) and the 1951-2100 period (scenarios). Each chapter of the thesis corresponds to a published (or submitted) article in a peer review journal. The data associated with each article were made public in individual Dataverse datasets. As well, the code of the HydroBudget model was made public on Dataverse (Dubois et al., 2021b), with an application example and a user guide (Dubois et al., 2021d). Each of these datasets contains detailed metadata, licences, and possible usage restrictions. Users are invited to refer to the individual datasets for more information. Chapter 2 of the thesis presents the article “Simulation of long-term spatiotemporal variations in regional-scale groundwater recharge: contributions of a water budget approach in cold and humid climates” published in the journal Hydrology and Earth Science System in 2021 (Dubois et al., 2021a). The associated GWR simulations over the 1961-2017 period are available here (on the Dataverse platform; Dubois et al., 2021c): https://doi.org/10.5683/SP3/TFNPQF. Chapter 3 of the thesis presents the article “Climate Change Impacts on Groundwater Recharge in Cold and Humid Climates: Controlling Processes and Thresholds” published in the special issue “Application of Climatic Data in Hydrologic Models” of the journal Climate in 2022 (Dubois et al., 2022a). The associated GWR simulations over the 1951-2100 period are available here (on the Dataverse platform; Dubois et al., 2022b): https://doi.org/10.5683/SP3/SWH4O1. Chapter 4 of the thesis presents the article “Impact of land cover changes on long-term and regional-scale groundwater recharge simulation in cold and humid climates” that was submitted for publication in June 2022. The associated GWR simulations over the 1951-2100 period will be available in a new Dataverse dataset as soon as the article is accepted for publication.
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2019-11-18 Le 22 février 2019 à l'Université de Montréal s'est tenue une journée d’étude sur les questions politiques associées à la traduction. La journée a été lancée par une conférence de Thomas Mulcair. Plusieurs autres intervenants ont pris la parole, dont Denise Merkle, René Lemieux, Catherine Leclerc, Chantal Gagnon, Julie McDonough Dolmaya, Maria Sierra Cordoba Serrano, Lysiane Gagnon et Paul Wells. La journée a été organisée par Chantal Gagnon et Julie Julie McDonough Dolmaya, en collaboration avec l'Association canadienne de traductologie. Les organisatrices tiennent à remercier les deux généreux commanditaires, soit le CRSH et le Département de linguistique et de traduction de l'UdeM.
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2020-08-15 This project aimed at combining all the data pertaining to trust in institutions in the world. These data come from 17 different survey projects. More information is provided in articles and presentations by the team: Claire Durand, Luis Patricio Pena Ibarra, Nadia Rezgui and David Wutchiett
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2022-01-13 <p>Sleep stage scoring does not necessarily start at the beginning of the PSG recording.</p> <p>The same sleep stage files (renamed Annotations.edf) are available in the dataset named "SS4 Sleep Annotations" (<a href="https://doi.org/10.5683/SP3/CHG82L" target="_blank" rel="noopener">https://doi.org/10.5683/SP3/CHG82L</a>).</p> <p>The SS4 subset of the Montreal Archive of Sleep Studies (MASS) cohort is an open-access database of laboratory-based polysomnography (PSG) recordings defined as :</p> <ul> <li>40 subjects (age 25.3&plusmn;4.3 years, age range: 18-35 years) <ul> <li>14 males (age 27.4&plusmn;4.5 years, age range: 21-35 years)</li> <li>26 females (age 24.1&plusmn;3.9 years, age range: 18-33 years)</li> </ul> </li> <li>40 PSG recordings (whole night) "* PSG.edf"<br /> <ul> <li>4 electrodes in the EEG montage <ul> <li>C3, C4, O1, O2</li> <li>reference is computed linked-ear (CLE)</li> </ul> </li> <li>4 EOG channels</li> <li>1 bipolar EMG channel</li> <li>3 ECG channels</li> <li>1 Respiratory thermistance channel</li> <li>1 Oximetry channel</li> </ul> </li> <li>40 Sleep staging files "* Base.edf"&nbsp;</li> <li>Sleep stage scoring rules : R&amp;K</li> <li>Page size (s) : 20</li> </ul>
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2022-01-13 <p>The SS4 subset of the Montreal Archive of Sleep Studies (MASS) cohort includes :</p> <ul> <li>40 subjects (age 25.3&plusmn;4.3 years, age range: 18-35 years) <ul> <li>14 males (age 27.4&plusmn;4.5 years, age range: 21-35 years)</li> <li>26 females (age 24.1&plusmn;3.9 years, age range: 18-33 years)</li> </ul> </li> <li>Sleep stage scoring rules : R&amp;K</li> <li>Page size (s) : 20</li> </ul> <p>The sleep stages are the same as those included in the dataset named "SS4 Biosignals and Sleep stages".</p> <p>Sleep stage scoring does not necessarily start at the beginning of the PSG recording.</p>

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