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Gagnon, Chantal 2019-01-30 In the second half of the 20th century, Canada went through 5 crisis situations in 1970, 1976, 1980, 1990 and 1995. Each of these crisis dealt with the power struggles between the French-speaking and the English-speaking communities. The present corpus includes three types of speeches delivered during or around these crises : 1) Televised Addresses to the Nation ; 2) Parliamentary Speeches directly dealing with the crisis ; 3) Budget parliamentary Speeches delivered shortly before or after the crisis. The corpus includes a total of 17 speeches, provided in both English and French, for a total of 34 files. The files can be used with bilingual concordancer (such as Paraconc) or monolingual concordancer (such as WordSmith).
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Botrel, Morgan; Bertolo, Andrea; Maranger, Roxane 2022-09-21 This dataset is the result of a large collaborative work lead by the GRIL from 2012 to 2015 on a submerged aquatic vegetation (SAV) meadow located downstream of two agricultural tributaries (Saint-François and Yamaska rivers) in Lake Saint-Pierre, a fluvial lake of the Saint Lawrence River. The data describe plants (as rake biomass and echosounding) and their environment, including water chemistry, current velocity as well as light, temperature and instantaneous meteo. Only echosounding data are available in 2016 and sediments were collected in 2015. Data are organized as a relational database and the GRIL_LSP_database.png provides keys and links between tables as well as data format. Data are in the tables mesure_integree, mesure_spatiale, mesure_verticale, plante_biomass_taxon, plante_recolte, plante_in_situ. The other tables are metadata about spatiotemporal locations and reported measures. Additional data (e.g. zooplankton, sediments) should eventually be made available and associated to this overall GRIL dataset. The dataset can be found on Zenodo: Botrel, M., Bertolo, A. and Maranger, R. (2022). Data on submerged aquatic vegetation and its water environment in Lake Saint-Pierre, Saint Lawrence River, from 2012 to 2016 (Version 1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6784490 SAV biomass (g/m2), Ca+ (calcium, µmol/L), CDOM (colored dissolved organic carbon, /cm), chla (chlorophyll a, µg/L), Cl- (chlorure, µmol/L), specific conductivity (µS/cm), cote_gleo (abundance of the epiphyte Gleotrichia pisum, 0 to 2), SAV cover (%), flow direction (°N), DOC (dissolved organic carbon, mg/L), sediment thickness (m), SAV height (m), K+ (potassium, µmol/L), Kpar (Extinction coefficient for visible light, /m), Litter (g/m2), Mg2+ (magnesium, µmol/L), Na+ (sodium, µmol/L), NH4+ (ammonium, µg/L), NO3+NO2 (nitrate + nitrite, µg/L), O2 (dissolved oxygen, mg/L), O2 saturation (%), ORP (oxydo-reduction potential, mV), Par0 (photosynthetic radiation at water surface, µmol/m2/s), ParZ (photosynthetic radiation at depth z, µmol/m2/s), pH, pheopigments (µg/L), PO43- (phosphate, µmol/L), atmospheric pressure (hPa), water depth (m), Schnell (secchi in a tube, cm), Secchi depth (cm), SO42- (sulfate, µmol/L), SPM (suspended particulate matter, mg/L), TDN (total dissolved nitrogen, µg/L), TDP (total dissolved phosphorus, µg/L), air temperature (°C), water temperature (°C), TN (total nitrogen, µg/L), TP (total phosphorus, µg/L), wind speed (m/s), water velocity (m/s), plant volume (ml)
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Ferré, Perrine 2022-05-13 This dataset contains the anonymized raw behavioral data in excel format for young and older adults. A readme file is added in .doc format. README file will provide a project summary and the description of various column headers. Please contact Prof. Yves Joanette for access to the MRI data.
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Hassan, Mahmud; Lapierre, Jean-François; Talbot, Julie; Arsenault, Julien; Martinez-Cruz, Karla; Sepulveda-Jauregui, Armando; Hoyos-Santillan, Jorge 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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Paquette, Cindy; Griffiths, Katherine; Gregory-Eaves, Irene; Beisner, Beatrix E. 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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Fradette, Maxime; Paquette, Cindy; Gregory-Eaves, Irene; Beisner, Beatrix E.; Huot, Yannick 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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Mineaud, Emilien; Lavoie, Isabelle 2022-03-04 Data were collected in summer 2019, through 3 regions on Southern Québec (Estrie, Laurentides, Outaouais), Canada. For each sampled lake, data were collected for bacterioplankton, phytoplankton, zooplankton and environmental parameters. Data for lake name, region, date, latitude (°), longitude (°), maximum depth (m), average depth (m), area (km²), water residence time (year-1), fetch (m); Lakes were sampled at the deepest point. Data collected for Secchi depth (m) and profiles of: dissolved oxygen (mg/L), temperature (°C), pH, BBE Phycoprobe (µg/L); Vertical net hauls across water column for crustacean zooplankton: species, size (mm), biomass (µg/L). Vertical tube samples for phytoplankton taxa, size (µm), biovolume (µL/L); Bottle samples (0.5m depth) were taken from each lake’s deep point for chlorophyll a (µg/L), total nitrogen (mg/L), total phosphorus (µg/L), dissolved organic carbon (mg/L), water color (A440) (m-1) and bacterial 16S metagenomics.
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Paquette, Cindy; Gregory-Eaves, Irene; Beisner, Beatrix E.; Huot, Yannick 2022-02-23 The file “LakePluse_env_624lakes.csv” contains environmental variables from 624 sampled as part of the NSERC Canadian Lake Pulse Network project over three summers (2017-2018-2019). Lake morphometry variables were either measured on site (lake depth), or obtained from HydroLAKES v. 1.0 (Messager et al. 2016). Water quality variables (water physical and chemical properties) were collected or measured at the deepest point of each lake, following the protocols from the NSERC Canadian Lake Pulse Network (2021). Watershed land use fractions were characterized for each lake, as described by Huot et al. (2019). Variables sampling depth and units are described in “metadata_variables.xlsx”. The file “fishTL_314lakes.csv" contains fish data in a subset of 314 lakes. Fish presence-data was collected as part of the FishHab project (fishab.weebly.com). Species trophic position were obtained using FishBase (https://www.fishbase.se/), and the highest trophic level was recorded for each lake (maxTL). Fish species were assigned a trophic position of piscivore (trophic level or TL > 3.5) or planktivore (TL ≤ 3.5) based on FishBase classification of known planktivore and piscivore species (adult stages). The total number of piscivore and planktivore taxa were then recorded for each lake. 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 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 Messager, M. L., B. Lehner, G. Grill, I. Nedeva, and O. Schmitt. 2016. Estimating the volume and age of water stored in global lakes using a geo-statistical approach. Nat. Commun. 7: 1–11. doi:10.1038/ncomms13603 NSERC Canadian Lake Pulse Network. 2021. NSERC Canadian Lake Pulse Network field manual 2017 - 2018 - 2019 surveys, M.-P. Varin, M.-L. Beaulieu, and Y. Huot [eds.]. Université de Sherbrooke. Agriculture(%); Calcium(mg/L); Chloride(mg/L); Chlorophyll a – filtration(µg/L); Chlorophyll a – in vivo fluorescence(µg/L); Circularity; Color(mg/L Pt); Conductivity(mS/cm); Discharge(m3/sec); Dissolved inorganic carbon(mg/L); Dissolved organic carbon(mg/L); Dissolved oxygen(%; (mg/L)); Forestry(%); Grassland(%); Lake area(km2); Lake depth(m); Magnesium(mg/L); Maximum trophic level; Mean slope in watershed(°); Mines(%); Natural landscapes(%); Nitrate-nitrogen(µg/L); Nitrite-nitrogen(µg/L); Organic and suspended mineral sediments(mg/L); Pasture(%); pH; Piscivore richness(# species); Planktivore richness(# species); Potassium(mg/L); Residence time(days); Salinity(PSU); Secchi(m); Slope 100m(°); Sodium(mg/L); Soluble reactive phosphorus(ug/L); Stratification(Y/N); Sulfate(mg/L); Temperature(°C); Total nitrogen(mg/L); Total phosphorus: Total nitrogen ratio; Total phosphorus(ug/L); Urban(%); Water pressure(decibar); Water(%); Watershed area(km2)

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