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Moreno-Ibáñez, Marta; Laprise, René; Gachon, Philippe — 2023-04-03

Dubois, Emmanuel; Larocque, Marie — 2023-01-12 The dataset contains potential groundwater recharge (GWR) simulated with a 500 m x 500 m resolution over southern Quebec, with a monthly time step, and with time-variant land cover (LC). The dataset is comprised of the LC classifications and the simulated spatial-temporal GWR. It contains (1) the reclassified, resampled, and annually distributed LC classifications for the 1990-2010 period based on the LC classifications for 1990, 2000, and 2010 (NRCan, 2021); (2) the downscaled LC scenarios from the land use harmonization dataset for RCP4.5 and RCP8.5 (Hurtt et al., 2011); and (3) the reclassified and resampled LC map for 2015 from Bissonnette et al. (2016) used for the GWR simulation of Dubois et al. (2021a, 2022b). The dataset also contains (4) the simulated GWR over the 1990-2010 period simulated with LC changes from the NRCan (2021) classification and (5) 12 GWR scenarios spanning 1951-2100 simulated with the LC scenarios. GWR data were simulated with these LC scenarios using the HydroBudget model (Dubois et al., 2021a, b) and are presented in Dubois et al. (2022a). They were compared to the data presented in Dubois et al. (2021a, 2022b) for constant LC. For the 1990-2010 period, interpolated climate data were provided by the Quebec Ministry of Environment and Climate Change (Ministère de l’Environnement et de la Lutte contre les changements climatiques - MELCC). For the 1951-2100 period, a selection of 12 climate scenarios provided by the Ouranos Consortium from the Coupled Model Intercomparison Project— Phase 5 (CMIP5) ensemble (RCP4.5 and RCP8.5, various global climate models) were used as input. The simulations were performed at UQAM by the team of Pr Marie Larocque’s research Chair on Water and land conservation (Chaire Eau et conservation du territoire), as part of a project funded by the MELCC. The study area is located in the Province of Quebec (humid and cold climate; Canada), between the St. Lawrence River and the Canada–USA border and between the Quebec–Ontario border and Quebec City (35 800 km2). The study area is divided into 140 656 cells of 500 m x 500 m. The simulation results are sorted in netCDF files for each LC classifications (5 classes: agriculture, forest, wetlands, water, urban) and for each GWR simulation. The resampled and reclassified LC map from Bissonnette et al. (2016) is provided as a .csv file. Beside the LC classifications, the available variables are composed of the monthly values of simulated vertical inflow (VI; sum of observed rainfall and simulated snowmelt – mm/month), average temperature (°C), simulated runoff (runoff + excess runoff – mm/month), simulated actual evapotranspiration (mm/month), and simulated GWR (mm/month) for each grid cell. All data have a 500 m x 500 m spatial resolution. Authors contributions: Conceptualization and methodology: Emmanuel Dubois, Marie Larocque, and Philip Brunner; Software and visualization, data curation: Emmanuel Dubois; Writing (original draft and review & editing): Emmanuel Dubois and Marie Larocque; Funding acquisition and supervision: Marie Larocque The meteorological data (daily total precipitation and daily min and max temperature) used as input to the GWR simulation for the1990-2010 period and presented in the dataset in the post-processed form of VI and average monthly temperature were provided by the Quebec Ministry of the Environment (MELCC). They are not under the CC0 - "Public Domain Dedication" licence and are provided for reproduction purposes only. The authors are grateful to the Ouranos Consortium for providing downscaled climate scenarios (daily total precipitation and daily min and max temperature), presented in the GWR scenarios dataset as VI and average monthly temperature. They acknowledge the model output data from the World Climate Research Programme CMIP5 as well as the gridded observation data made available by Natural Resources Canada (NRCan). If re-used, both the source of the data and the provider must be acknowledged. The LC classification for the 1990-2010 period was resampled and reclassified from the LC maps for 1990, 2000, and 2010 (NRCan, 2021). If re-used, the source of the data must be acknowledged. The LC scenarios were downscaled on a 500 m x 500 m spatial resolution from the land use harmonization dataset (Hurtt et al., 2011) which is freely available to download from https://luh.umd.edu/. If re-used, the source of the data must be acknowledged. The resampled and reclassified LC map from Bissonnette et al. (2016) were provided by the Quebec Ministry of the Environment (MELCC). It is not under a CC0 - "Public Domain Dedication" licence and is provided for reproduction purposes only.

Djossou, Tchénagnon Armand — 2022-12-07 Code de reproduction pour le mémoire de maîtrise « Intégration régionale de travailleurs (im)migrants sous interdiction de changer d’employeur au pays : impact salarial sur les autres employés au sein des occupations affectées ». Voir le fichier ReadMe pour plus de détails.

Gagné, Sylvain; Dubois, Emmanuel; Larocque, Marie — 2022-01-11 This database contains 12 scenarios of potential groundwater recharge (GWR) with a 500 m x 500 m resolution and a monthly time step over southern Quebec for the 1951-2100 period. These data were simulated using the HydroBudget model (Dubois et al., 2021a, b, c) and are presented in Dubois et al. (2022). A selection of 12 climate scenarios from the Coupled Model Intercomparison Project— Phase 5 (CMIP5) ensemble (RCP4.5 and RCP8.5, various global climate models), provided by Ouranos, were used as input. The simulations were performed at UQAM by the team of Pr Marie Larocque’s research Chair on Water and land conservation (Chaire Eau et conservation du territoire), as part of a project funded by the Quebec Ministry of Environment and Climate Change (Ministère de l’Environnement et de la Lutte contre les changements climatiques - MELCC). The study area is located in the Province of Quebec (humid and cold climate; Canada), between the St. Lawrence River and the Canada–USA border and between the Quebec–Ontario border and Quebec City (35 800 km2). The study area is divided into 140 656 cells of 500 m x 500 m. The simulation results are sorted in netCDF files by climate change scenario that contain 1) the 30-year average monthly values and 2) the monthly values for the 1951-2100 period of simulated vertical inflow (VI; sum of observed rainfall and simulated snowmelt – mm/month), average temperature (°C), simulated runoff (runoff + excess runoff – mm/month), simulated actual evapotranspiration (mm/month), and simulated potential GWR (mm/month) for each grid cell. Monthly averages are computed for the periods of 1951-1980, 1981-2010, 2011-2040, 2041-2070, and 2071-2100. Authors contributions: Conceptualization and methodology: Emmanuel Dubois, Marie Larocque, and Sylvain Gagné; Software and visualization: Emmanuel Dubois; data curation: Emmanuel Dubois and Sylvain Gagné; Writing (original draft and review & editing): Emmanuel Dubois and Marie Larocque; Funding acquisition and Supervision: Marie Larocque The authors are grateful to the Ouranos Consortium for providing downscaled climate scenarios (daily total precipitation and daily min and max temperature), presented in the dataset as VI and average monthly temperature. They acknowledge the model output data from the World Climate Research Programme CMIP5 as well as the gridded observation data made available by Natural Resources Canada (NRCan). If re-used, both the source of the data and the provider must be acknowledged.

Raymond-Brousseau, Lucie — 2022-09-27 Code de reproduction pour le mémoire de maîtrise « Le rôle des universités et la mobilité sociale intergénérationnelle au Québec ». Voir le fichier ReadMe pour plus de détails.

Roy, Jean-Hugues — 2023-04-25

Bazié, Christ Kévin — 2023-04-21

Gagné, Sylvain; Dubois, Emmanuel; Larocque, Marie — 2021-12-14 This database contains the simulation of potential groundwater recharge (GWR) with a 500 m x 500 m resolution and a monthly time step over southern Quebec for the 1961-2017 period. These data were simulated using the HydroBudget model (HB; Dubois et al., 2021a, b) and are presented in Dubois et al. (2021c). The simulation was performed at UQAM by the team of Pr Marie Larocque’s research Chair on Water and land conservation (Chaire Eau et conservation du territoire), as part of a project funded by the Quebec Ministry of the Environment (Ministère de l’Environnement et de la Lutte contre les changements climatiques - MELCC). The study area is located in the Province of Quebec (humid and cold climate; Canada), between the St. Lawrence River and the Canada–USA border and between the Quebec–Ontario border and Quebec City (35 800 km2). The study area is divided into 140 656 cells of 500 m x 500 m. The simulation results are sorted in files by year that contains for each grid cell the monthly values of simulated vertical inflow (VI; sum of observed rainfall and simulated snowmelt – mm), average temperature (°C), simulated runoff (runoff + excess runoff – mm), simulated actual evapotranspiration (mm), and simulated potential GWR (mm). Authors contributions: Conceptualization and methodology: Emmanuel Dubois, Marie Larocque, Sylvain Gagné ; Software, visualization, and data curation: Emmanuel Dubois; Writing (original draft and review & editing): Emmanuel Dubois and Marie Larocque; Funding acquisition and Supervision: Marie Larocque The meteorological data (daily total precipitation and daily min and max temperature) used as input to the GWR simulation and presented in the dataset in the post-processed form of VI and average monthly temperature were provided by the Quebec Ministry of the Environment (MELCC). They are not under the CC0 - "Public Domain Dedication" licence and are provided for reproduction purposes only. Please refer to the access information section of the READ_ME.txt file for more detail.

Ménard, Lucie; Trudeau-Fisette, Pamela; Tiede, Mark — 2021-01-30 Données recueillies auprès de 20 auditeurs francophones adultes lors d'un test d'identification de voyelles produites par des locuteurs francophones adultes voyants et aveugles. <br> The objective of this study is to investigate the effects of congenital visual deprivation on vowel intelligibility in adult speakers of Canadian French. Twenty adult listeners performed two perceptual identification tasks in which vowels produced by congenitally blind adults and sighted adults were used as stimuli. Together, the results suggest that adult blind speakers have learned to adapt to their sensory loss so that they can successfully achieve intelligible vowel targets in non-noisy conditions but that they produce less intelligible speech in noisy conditions.

Collet, François; Chen, Ting-Chen — 2022-09-16 The NA-ISD2ERA is a station-based gridded dataset of hourly 10-m wind speed, surface total precipitation, sea-level pressure, and 2-m air and dew point temperature observations interpolated on the regular 0.25° latitude-longitude ERA5 grid over North America for the 1990-2021 period. Station observations are from the Integrated Surface Database (ISD) developed by the National Centers for Environmental Information (NCEI) of the National Oceanic and Atmospheric Administration (NOAA) (Smith et al. 2011). It includes over 35,000 weather stations around the world of hourly to sub-hourly in situ observations for numerous variables such as wind speed, precipitation, sea-level pressure, air and dew point temperature. The NCEI ISD dataset is available at https://www.ncei.noaa.gov. ERA5 is the fifth generation of the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis (Hersbach et al., 2020). Quality checks implemented in ISD are used to select reliable observations. For each ERA5 grid cell and at each hour, the data are interpolated by taking the nearest available ISD observation to the grid cell center that is located within the targeted grid cell.

Chen, Ting-Chen; Alejandro Di Luca; Katja Winger — 2022-06-28 The NAEC catalogue comprises information on extratropical cyclone (ETC) tracks in North America (20–80 N and 180-0W) from January 1979 to December 2020. The source data used to produce this dataset is obtained from the ECMWF ERA5 reanalysis at 1-hour spatial resolution and 0.25x0.25 degree spatial resolution. In addition to the location, time, and intensity, this dataset also includes ETC-associated impact variables such as the near-surface wind speed, wind gust, and precipitation, averaged using different radii around the ETC center. Both absolute and relative (to the local climatology) measures are provided. This catalogue provides useful information for the assessment of ETC-induced impacts over North America. This dataset (produced by the research team of Alejandro Di Luca) is licensed under a CC BY 4.0 license. The source data we used to produce this dataset is the European Centre for Medium-Range Weather Forecasts (ECMWF) ERA5 hourly reanalysis at a spatial resolution of 0.25×0.25 degree. The ECMWF ERA5 reanalysis data (published under a CC BY 4.0 license) is available through the Climate Data Store infrastructure: https://cds.climate.copernicus.eu.

Lévesque, Gabriel — 2021-05 Ce jeu de données présente les résultats d'une analyse de cadrage (framing analysis) de la reformulation des politiques en matière de cannabis au Québec (projet de loi 2, 2019), en Ontario (projet de loi 36, 2018) et au Maine (LD 88, 2016; LD 243, 2017; LD 1719, 2018). À l'aide d'une grille d'analyse composée de 6 cadres développée par le chercheur, les débats parlementaires et les mémoires déposés en commission ont été analysés. Au total, 80 types d'intervenants ont été soumis au codage (23 au Québec ; 19 en Ontario ; 37 au Maine ; total). Ce jeu de données permet de cerner les cadrages prévalant lors des débats sur la reformulation des politiques en matière de cannabis.

Khan, Nishat Rahman — 2023-04-15

Surprenant, Stéphane; Leroux, Maxime; Fortin-Gagnon, Olivier; Stevanovic, Dalibor — 2021-10-18 <p>This folder contains all monthly (CAN-MD) and quarterly (CAN-QD) vintages data. The first monthly vintage begins in May 2019 and the quarterly data begins a little later, in November 2019. Since then, the two databases have been updated at the end of each month. </p> <p> <strong> CAN-MD files : </strong><br> Table_can_md.xlsx : contains a description and the source of all series in CAN-MD.csv, balanced_can_md.csv and TR_CAN_MD.csv <br> <br> balanced_can_md.csv : stationary and balanced panel starting from 1981M01. Missing values ​​are replaced by EM algorithm. (Using CAN_MD.csv) <br> <br> CAN_MD.csv : raw data as collected from Statistc Canada and other sources. It starts from 1914 because the CPI series is available from that year <br> <br> TR_CAN_MD.csv : data from CAN_MD.csv transformed to induce stationarity. <br></p> <p> <strong> CAN-QD files : </strong><br> Table_can_qd.xlsx : contains a description and the source of all series in CAN-QD.csv and balanced_can_qd.csv <br> <br> balanced_can_qd.csv : stationary and balanced panel starting from 1981Q1. Missing values ​​are replaced by EM algorithm. (Using CAN_QD.csv) <br> <br> CAN_QD.csv : raw data as collected from Statistc Canada and other sources. It starts from 1914 because the CPI series is available from that year <br> <br> TR_CAN_QD.csv : data from CAN_MD.csv transformed to induce stationarity. (introduce in 2021/07) </p>

Gagne, Sylvain; Meyzonnat, Guillaume; Dubois, Emmanuel; Larocque, Marie — 2021-11-10 Authors contributions: Conceptualization: Emmanuel Dubois, Marie Larocque, Sylvain Gagné Methodology: Emmanuel Dubois, Marie Larocque, Sylvain Gagné, Guillaume Meyzonnat Sofware: Emmanuel Dubois, Sylvain Gagné, Guillaume Meyzonnat Visualization, data curation, and formal analysis: Emmanuel Dubois Writing (original draft and review & editing): Emmanuel Dubois and Marie Larocque Funding acquisition and Supervision: Marie Larocque The script was tested within the research team of Pr Larocque before making it publicly available. For the application example of the Petite du Chene River, the climate data and river flow observations are provided for training purpose only and are not under the CC0 - "Public Domain Dedication" licence. Please refer to the access information section of the READ_ME.txt file or the TERMS tab for more detail. HydroBudget (HB) is a spatially distributed groundwater recharge (GWR) model that computes a superficial water budget on grid cells with outputs aggregated into monthly time steps. It was developed as an accessible and computationally affordable model to simulate GWR over large areas (thousands of km2, regional-scale watersheds) and for long time periods (decades), in cold and humid climates. The model is coded in R and was developed at UQAM by the team of Pr Marie Larocque’s research Chair (Water and land conservation) as part of a project funded by the Quebec Ministry of the Environment (Ministère de l’Environnement et de la Lutte contre les changements climatiques - MELCC). Results of GWR simulation over southern Quebec (Canada) with HB are presented in Dubois et al. (2021). Le model script is provided with an application example for the Petite du Chene River in southern Quebec and a User-guide.

Parisot, Anne-Marie; Saunders, Darren; Blondel, Marion; Bouchard, Denis; Boutet, Dominique; Boutora, Leila; Dalle, Patrice; Machabée, Dominique; Rinfret, Julie; Dubé, Sonia; Bernier, Marc-André; Charron, Simon; Hould, Caroline; James, Marie-Ève; Lavoie, Guylaine; Lelièvre, Lynda; Limousin, Fanny; Luna, Stéphanie; Ben Mlouka, Monia; Paquette, Linda; Szymoniak, Karl; Voghel, Amélie; Villeneuve, Suzanne — 2021-09-30 A special thank from the research team to the participants of the Marqspat project. Without their generous contribution, the production of the videos would have been impossible. / L’équipe de recherche tient à remercier tout particulièrement es participants au projet Marqspat. Sans leur généreuse contribution, la production des vidéos auraient été impossible. These dataset in video format is to illustrate examples of the data directly which are cited in the chapter of the same title published in the book [Title to come]. Those videos are used to present a portrait of the use of enactment in sign and spoken discourses for LSQ (L1 and L2), ASL (L1), and French (L1) discourses and are drawn from the Projet Marqspat corpus under the auspices of Groupe de recherche sur la LSQ et le bilinguisme sourd, at Université du Québec à Montréal (UQAM). The data used in this chapter were collected through a SSHRC project (regular grant) from 2011 to 2015, entitled " Étude de la variation de forme et de sens dans la réalisation du marquage spatial pour trois langues des signes". Projet Marqspat is a corpus of spoken/signed data produced in four languages (LSQ, ASL, English and French) where all participants were exposed to the same elicitation conditions,including a four-hour test aimed at the production of specific morphosyntactic, semantic and discursive structures within an elicitation setting. All participants were exposed to forty-four video sketches without use of language presenting different scenarios produced by actors. These were calibrated to elicit the linguistic expression of different concepts (quantity, point of view, etc.) and of different types of events such as descriptive or narrative events (Parisot et al. 2008; Parisot and Saunders 2019). The discourse data were collected from five groups of signers/speakers, with three participants in each group: <ol> <li>Deaf signers using LSQ as L1</li> <li>Deaf signers using LSQ L2 but as have ASL as L1</li> <li>Deaf signers using LSQ as L2 but use spoken French as L1</li> <li>Deaf signers using ASL as L1</li> <li>Non-deaf Quebec French speakers as L1</li> </ol>

Gaudreault, Félix-Antoine — 2022-09-01 Code de reproduction pour le mémoire de maîtrise « Effet non linéaire de la taille des classes sur le développement cognitif et non cognitif de l'enfant - Estimation avec les données de l'Enquête québécoise sur le développement de l'enfant en maternelle de 2012 et 2017 ». Voir le fichier ReadMe pour plus de détails.