Recherche

Dataverse de l'Université du Québec à Trois-Rivières Translation missing: fr.blacklight.search.logo
Tree dielectric measurements in a black spruce forest stand
— 2021-03-15 Three ruggedized soil moisture sensors (model GS-3; Decagon 302 Devices, Pullman, Washington, USA) were installed directly into 5.6 cm pre-drilled holes (length of probes) within tree trunks, in order to provide a measure tree relative dielectric constant (RDCtree) at Diameter Breast High (DBH). The probes are sensitive to liquid water, as liquid water has a high dielectric constant. The dielectric constant (D) follows ambient temperature in winter, but is near constant when trunks are thawed in the spring (Roy et al., 2020; Matheny et al., 2015).
Dataverse de l'Université du Québec à Trois-Rivières Translation missing: fr.blacklight.search.logo
Data used to support a meta-analysis investigating ecological effects of urban lawn management
— 2019-11-01 This data supports a meta-analysis investigating ecological impacts of intense lawn management (mowing). Raw data on invertebrate abundance and temperature data was collected by Léonie Carignan-Guillemette (2018) and Caroline Turcotte (2017) under the supervision of Raphaël Proulx and Vincent Maire (refer to Appendix S1 within related publication for more information). Other data was gathered and processed according to the following: We searched the Scopus database on 8 February, 2019 with the following combinations of keywords: (lawn OR turf) AND mowing AND (urban OR city). Generally, studies were ineligible when: full-text of the article was not available even after contacting the authors; mowing was incidental to the study and not an experimental factor; response variables were not ecologically relevant; confounding factors (e.g. fertilisation) could not be isolated; a non-urban context was used; or simulated data were presented. We extracted the mean and statistical variation (standard deviation or standard error) for each response variable in control (less-intensively mown) and treatment (intensively mown) groups. Reported data were used when available. Otherwise, data were extracted from published figures using the Web Plot Digitizer tool. Where summary data on median, and interquartile range was presented, mean and standard deviation was estimated. Variables with multi-temporal data (e.g. soil moisture) were summarised using the mean and pooled standard deviation to provide an aggregated value per site per year. Where seasonal trends were evident in raw multi-temporal data (e.g. soil temperature), data was detrended using a polynomial function and analysis applied to the residuals. Data are provided "as-is". Please contact the authors for more details and information on use.
Dataverse de l'Université du Québec à Trois-Rivières Translation missing: fr.blacklight.search.logo
Résultats de l'Enquête sur les pratiques en matière de gestion des données de recherche à l'UQTR (CC BY 4.0)
— 2019-02-28 <p>Dans le cadre de l'élaboration d'une offre de services en matière de gestion des données de la recherche (GDR), le Service de la bibliothèque et le Décanat de la recherche et de la création de l'Université du Québec à Trois-Rivières a procédé à une enquête sur les pratiques de ses chercheurs en matière de GDR.</p> <p>L'enquête s'est déroulée entre le 28 février et le 22 mars 2019. Sur les 460 professeurs et 35 chercheurs postdoctoraux invités à participer, 75 ont fourni une réponse complète ou partielle. Les fichiers enquete_gdr_uqtr_questionnaire_2019.pdf et enquete_gdr_uqtr_consigne.txt permettent de visualiser le questionnaire utilisé.</p> <p>Cette enquête comprend 37 questions. Il s'agit d'une version remaniée de l'enquête développé par le Consortium canadien d’enquête en GDR de <a href="https://portagenetwork.ca/fr/" target="_blank">Portage</a>. Les commentaires ont été retirés des données déposées dans Dataverse pour assurer la confidentialité des répondants.</p> <p>Liste des fichiers (noms des fichiers et description): <li>Lisez-moi_Enquete_GDR-UQTR_2019_v11-26-2019.txt : Description de l'enquête et des fichiers</li> <li>Enquete_gdr_uqtr_questionnaire_2019.pdf : Questionnaire utilisé pour le sondage à l'UQTR</li> <li>enquete_gdr_uqtr_consigne.txt : Consignes énoncées en début du sondage de l'UQTR</li> <li>Enquete_gdr_uqtr_donnees_2019_P.csv : Fichiers des données de l'UQTR formatées afin de permettre une intégration au fichier national de données de Portage</li> <li>Enquete_gdr_uqtr_CodeBook_2019_P.pdf : Dictionnaire des données du fichier "Enquete_gdr_uqtr_donnees_2019_P.csv"</li> <li>Enquete_gdr_uqtr_donnees_2019_N.tab : Fichier des données nettoyées d'origine</li> <li>Enquete_gdr_uqtr_Dictionnaire_Donnees_2019_N.pdf : Dictionnaire des données du fichier "Enquete_gdr_uqtr_donnees_2019_N.csv"</li> <li>Enquete_gdr_uqtr_resultats.pdf : Fichier PDF d'une présentation Powerpoint résumant les principaux résultats</li></p>
Dataverse de l'Université du Québec à Trois-Rivières Translation missing: fr.blacklight.search.logo
The Effect of Trunk Position and Pain Location on Lumbar Extensor Muscle Recruitment Strategies
Borealis
Ducas, Julien — 2024-06-12 Healthy participants performed isometric contractions in three positions: neutral, 45° trunk flexion, and 90° trunk flexion; under three conditions: no pain (NP), caudal pain (CrP), and cranial pain (CaP). During each contraction, myoelectric activity of the right and left lumbar extensor muscle was recorded with two HDsEMG of 64 electrodes arranged in 8 columns and 8 rows spaced by 10 mm (semidisposable adhesive matrix; model ELSCH064, OTBioelettronica, Torino, Italy). Furthermore, the force signal generated during the isometric contractions was recorded using the load cell. Dependent variables were calculated for each pain condition (No pain, CrP, CaP) and for each position (neutral, 45° trunk flexion, 90° trunk flexion). Specifically, pain intensity, HDsEMG variables and force were analyzed. With regards to the HDsEMG dependent variable, the ‘Muscle activity amplitude’ corresponded to the mean of the root mean square (RMS) across all filtered channels. This amplitude was subsequently normalized using the mean MVIC amplitude calculated over a 1-second epoch in the corresponding position for each task. In addition, as a complementary analysis to further investigate the effect of trunk position on LEM activation strategies, the muscle activity amplitude normalized to the force produced was computed. To determine the spatial distribution of muscle activity of LEM, the medio-lateral (x) and cranio-caudal (y) coordinates of the centroid were calculated. To facilitate in the interpretation of the spatial coordinates, the right array was flipped along the x-axis, so higher x coordinates indicate a more medial location of the centroid on both sides. The centroid represents the average position of the channels that had absolute RMS values greater than 70% of the maximum absolute RMS value across all channels during the contractions. Specifically, channels with values exceeding 70% of the maximum RMS value were selected, and their estimates were averaged to generate a single estimate for each side, encompassing both x- and y-axis coordinates. For the force generation variables, ‘Force production' corresponds to the mean force exerted in Newton while ‘Force steadiness’ is determined by the CoV of force. As a complementary analysis, the variability in individual pain responses under both CrP and CaP conditions was illustrated by comparing them to the baseline score (no pain condition) for metrics such as muscle activity amplitude, centroid coordinates, and CoV, for each participant. Variability in muscle activity amplitude was determined by calculating the difference between each pain condition and the baseline, and then multiplying it by 100 to represent a percentage of change. For the centroid coordinates and force steadiness, only the differences between each pain conditions and baseline are presented.
Dataverse de l'Université du Québec à Trois-Rivières Translation missing: fr.blacklight.search.logo
In-situ Soil Temperature Data (2 and 10 cm) in Agro-forested Areas of St-Marthe and St-Maurice for 2020-21 and 2021-22
Borealis
Roy, Alexandre; Taghipourjavi, Shahabeddin; Kinnard, Christophe — 2024-04-10 In this dataset, In-situ soil temperature measurements were collected for two consecutive years in Agro-forested areas of St-Maurice and St-Marthe located in south Québec (Canada), from mid-October to the end of April, covering the periods of 2020-21 and 2021-22. 8 and 10 temperature plots were instrumented in St-Maurice and St-Marthe, respectively, to monitor soil freeze-thaw (FT) states. At each plot, five soil pits equipped with two soil temperature sensors at near-surface (2 cm) and 10 cm depths were installed along a cross shape with 5 m between each soil pit. We used the standard normal distribution, which is a continuous probability distribution, to determine the probability of soil freezing at each instrumented plot. As part of this dataset, Sentinel1 Interferometric Wide Swath Mode (IW) imagery was used, using both ascending and descending orbits during the time frame of early October to early June, covering the periods of 2020-2021 and 2021-2022. Three change detection algorithms were also calculated to retrieve the FT state for both VV- and VH-polarizations at the studied plots including freeze-thaw index (FTI) algorithm, backscatter differences (Delta), and exponential freeze-thaw algorithm (EFTA). For more detail please refer to the README file in dataset.
Dataverse de l'Université du Québec à Trois-Rivières Translation missing: fr.blacklight.search.logo
Annual spring flood characteristics and hydroclimatic drivers in southern Québec
Borealis
Kinnard, Christophe — 2024-07-02 This database includes the amplitude and timing of annual spring floods, as well as several antecedent hydroclimatic variables ("flood drivers"), for 12 river catchments in southern Québec, Canada, as publised in the article "Mechanisms of spring freshet generation in southern Quebec, Canada" published in 2024 in the Canadian Water Resources Journal.
Dataverse de l'Université du Québec à Trois-Rivières Translation missing: fr.blacklight.search.logo
Task-dependent neuromuscular adaptation in low back pain
Borealis
Ducas, Julien — 2024-09-10 24 healthy participants performed isometric back extension contractions in two positions (45° and 90° trunk flexion) under two conditions (no pain and experimental low back pain using electrical stimulation). Lumbar muscle activation strategies were recorded using high-density surface electromyography on both sides and force steadiness (standard deviation of force production) was recoded using a load cell. The signals were imported and analyzed using Matlab (v.2023b; TheMathWorks, Natick, MA). Throughout all isometric trunk extension contractions, HDsEMG data were gathered and analyzed independently for both the left and right sides. Then, the HDsEMG signals were filtered using an 8th-order Butterworth filter with a frequency range of 30–400 Hz. In addition, a 2nd-order Butterworth notch filter was used to eliminate interference from the 60 Hz power lines and its harmonics. For the recording during all isometric trunk extension contractions, a comprehensive visual examination of the raw HDsEMG signals was conducted, which led to the identification of electrodes exhibiting contact issues or artifacts induced by stimulation. To further evaluate the presence of stimulation-related artifacts, amplitude spectra were computed for all electrodes and for each condition using a Fast Fourier transform and visually screened. For electrodes that had such problems, a reconstruction technique was applied by interpolating data from neighboring electrodes. If these electrode artifacts were observed on more than 10% of all electrodes, the recording was excluded from the analysis. The ten middle seconds of each signal recording were analyzed and segmented into consecutive windows of 0.5s. Force signals underwent a low-pass filtering at 10 Hz using a 2nd-order Butterworth filter. The force steadiness was examined for each position and painful condition. To evaluate the force steadiness, the standard deviation (SD) was computed. Dependent variables were calculated for each pain condition (baseline and lumbar pain) and for each position (45° trunk flexion and 90° trunk flexion). Specifically, pain intensity, HDsEMG variables, and force steadiness were computed. Regarding the dependent variable of HDsEMG, ‘Muscle activity amplitude’ corresponded to the mean of the root mean square (RMS) in all filtered channels, which is then normalized using the mean RMS of the MVC in its corresponding position. To determine the spatial distribution of lumbar extensor muscle activity, the means of the mediolateral and craniocaudal coordinates of the centroid were calculated. To evaluate the magnitude of neuromuscular adaptation to pain, the centroid coordinates collected during the pain condition were subjected to a subtraction process from the one collected during the baseline condition. The resulting differences were transformed into absolute values to assess the magnitude rather than the direction of redistribution. For muscle activity amplitude, the percentage of change from the baseline condition was assessed and transformed into absolute values to assess the magnitude of muscle amplitude adaptation to pain. Regarding the force variable used as an assessment metric to maintain the task goal of 20% of the MVIC, 'Force steadiness’ was used and represented the standard deviation (SD) of force during the isometric back extension contraction. To evaluate how the magnitude of neuromuscular adaptation to pain influences the capability to generate force, the force steadiness during the lumbar pain condition was subtracted from the baseline condition. However, unlike the HDsEMG data, these differences were not transformed into absolute values. This approach was designed to discern whether there was an increase or decrease in the ability to produce force, emphasizing the impact of the magnitude of pain adaptation on the capability to maintain the goal of the task.
Dataverse de l'Université du Québec à Trois-Rivières Translation missing: fr.blacklight.search.logo
Dissolved organic matter composition and bacterial metabolic responses in soils surrounding decomposing pig carcasses in a Canadian continental climate
Borealis
Pecsi, Emily; Shari Forbes; François Guillemette — 2024-04-16 Dataset used to spatio-temporally investigate the relationship between organic matter composition (quantity, quality) and bacterial metabolic responses (activity, function) in soils surrounding decomposing pig carcasses that were surface deposited in a temperate mixed forest (Trois-Rivières, Québec).
Dataverse de l'Université du Québec à Trois-Rivières Translation missing: fr.blacklight.search.logo
Plant functional traits measured at the individual level within four temperate wetland types (bog, fen, meadow, marsh) in North-East America.
Borealis
Maire, Vincent; Deschamps, Lucas; Proulx, Raphaël — 2023-03-15 We replicated a natural species richness gradient where communities included from 2 to 16 species within four wetlands (bog, fen, meadow, marsh) contrasting in plant productivity. We sampled functional traits from individuals in each community and used hierarchical distributional modelling in order to analyze the independent variation of the mean and dispersion of functional trait space at ecosystem, community and species levels.
Dataverse de l'Université du Québec à Trois-Rivières Translation missing: fr.blacklight.search.logo
Non-growing season CO2 fluxes over arctic and boreal environments
Borealis
Mavrovic, Alex — 2023-03-27 Non-growing season CO2 fluxes over boreal and arctic environments using the snowpack diffusion gradient method. This dataset consists of 558 snowpack diffusion gradient measurements made over a latitudinal gradient of four different boreal and arctic ecosystems in Canada: closed-crown coniferous boreal forest, open-crown coniferous boreal forest, erect tundra shrubs and prostrate tundra shrubs. Snow and soil data are incorporated into the dataset as environmental variables.
Dataverse de l'Université du Québec à Trois-Rivières Translation missing: fr.blacklight.search.logo
Data used to support a meta-analysis investigating ecological effects of urban lawn management
Borealis
Watson, Christopher; Carignan-Guillemette, Léonie; Turcotte, Caroline; Maire, Vincent; Proulx, Raphaël — 2019-11-20 This data supports a meta-analysis investigating ecological impacts of intense lawn management (mowing). Raw data on invertebrate abundance and temperature data was collected by Léonie Carignan-Guillemette (2018) and Caroline Turcotte (2017) under the supervision of Raphaël Proulx and Vincent Maire (refer to Appendix S1 within related publication for more information). Other data was gathered and processed according to the following: We searched the Scopus database on 8 February, 2019 with the following combinations of keywords: (lawn OR turf) AND mowing AND (urban OR city). Generally, studies were ineligible when: full-text of the article was not available even after contacting the authors; mowing was incidental to the study and not an experimental factor; response variables were not ecologically relevant; confounding factors (e.g. fertilisation) could not be isolated; a non-urban context was used; or simulated data were presented. We extracted the mean and statistical variation (standard deviation or standard error) for each response variable in control (less-intensively mown) and treatment (intensively mown) groups. Reported data were used when available. Otherwise, data were extracted from published figures using the Web Plot Digitizer tool. Where summary data on median, and interquartile range was presented, mean and standard deviation was estimated. Variables with multi-temporal data (e.g. soil moisture) were summarised using the mean and pooled standard deviation to provide an aggregated value per site per year. Where seasonal trends were evident in raw multi-temporal data (e.g. soil temperature), data was detrended using a polynomial function and analysis applied to the residuals.
Dataverse de l'Université du Québec à Trois-Rivières Translation missing: fr.blacklight.search.logo
Tree dielectric measurements in a black spruce forest stand
Borealis
Roy, Alexandre — 2021-03-15 Three ruggedized soil moisture sensors (model GS-3; Decagon 302 Devices, Pullman, Washington, USA) were installed directly into 5.6 cm pre-drilled holes (length of probes) within tree trunks, in order to provide a measure tree relative dielectric constant (RDCtree) at Diameter Breast High (DBH). The probes are sensitive to liquid water, as liquid water has a high dielectric constant. The dielectric constant (D) follows ambient temperature in winter, but is near constant when trunks are thawed in the spring (Roy et al., 2020; Matheny et al., 2015).
Dataverse de l'Université du Québec à Trois-Rivières Translation missing: fr.blacklight.search.logo
Résultats de l'Enquête sur les pratiques en matière de gestion des données de recherche à l'UQTR (CC BY 4.0)
Borealis
Ayoub, Mathieu; Leduc, Catherine — 2019-11-29 <p>Dans le cadre de l'élaboration d'une offre de services en matière de gestion des données de la recherche (GDR), le Service de la bibliothèque et le Décanat de la recherche et de la création de l'Université du Québec à Trois-Rivières a procédé à une enquête sur les pratiques de ses chercheurs en matière de GDR.</p> <p>L'enquête s'est déroulée entre le 28 février et le 22 mars 2019. Sur les 460 professeurs et 35 chercheurs postdoctoraux invités à participer, 75 ont fourni une réponse complète ou partielle. Les fichiers enquete_gdr_uqtr_questionnaire_2019.pdf et enquete_gdr_uqtr_consigne.txt permettent de visualiser le questionnaire utilisé.</p> <p>Cette enquête comprend 37 questions. Il s'agit d'une version remaniée de l'enquête développé par le Consortium canadien d’enquête en GDR de <a href="https://portagenetwork.ca/fr/" target="_blank">Portage</a>. Les commentaires ont été retirés des données déposées dans Dataverse pour assurer la confidentialité des répondants.</p> <p>Liste des fichiers (noms des fichiers et description): <li>Lisez-moi_Enquete_GDR-UQTR_2019_v11-26-2019.txt : Description de l'enquête et des fichiers</li> <li>Enquete_gdr_uqtr_questionnaire_2019.pdf : Questionnaire utilisé pour le sondage à l'UQTR</li> <li>enquete_gdr_uqtr_consigne.txt : Consignes énoncées en début du sondage de l'UQTR</li> <li>Enquete_gdr_uqtr_donnees_2019_P.csv : Fichiers des données de l'UQTR formatées afin de permettre une intégration au fichier national de données de Portage</li> <li>Enquete_gdr_uqtr_CodeBook_2019_P.pdf : Dictionnaire des données du fichier "Enquete_gdr_uqtr_donnees_2019_P.csv"</li> <li>Enquete_gdr_uqtr_donnees_2019_N.tab : Fichier des données nettoyées d'origine</li> <li>Enquete_gdr_uqtr_Dictionnaire_Donnees_2019_N.pdf : Dictionnaire des données du fichier "Enquete_gdr_uqtr_donnees_2019_N.csv"</li> <li>Enquete_gdr_uqtr_resultats.pdf : Fichier PDF d'une présentation Powerpoint résumant les principaux résultats</li></p>
Dataverse de l'Université du Québec à Trois-Rivières Translation missing: fr.blacklight.search.logo
Sondage sur les pratiques de bibliothécaires d'universités québécoises dans le soutien aux revues de littérature: avril 2022
Borealis
Bilodeau, Marjorie; Leduc, Catherine; Zurek, Nadia — 2022-12-09 Ce projet consiste à dresser un portrait du type de soutien offert par les bibliothécaires universitaires du Québec en lien avec les revues de littérature, en particulier le soutien aux Revues Systématiques. / This project consists in drawing up a portrait of the type of support offered by Quebec university librarians in relation to literature reviews, in particular support for Systematic Reviews.
Dataverse de l'Université du Québec à Trois-Rivières Translation missing: fr.blacklight.search.logo
Non-growing season CH4 fluxes over arctic and boreal environments
Borealis
Mavrovic, Alex — 2023-09-21 Non-growing season CH4 fluxes over boreal and arctic environments using the snowpack diffusion gradient method. This dataset consists of 802 snowpack diffusion gradient measurements made over five different boreal and arctic ecosystems in Canada and Finland: closed-crown coniferous boreal forest, open-crown coniferous boreal forest, erect tundra shrubs, prostrate tundra shrubs and boreal wetlands. Snow and soil data are incorporated into the dataset as environmental variables.

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