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1 to 10 of 34 Results
Regionalized Life Cycle Impact Assessment datasets for Nunavik, Canada and World resolutions
Oct 21, 2024 - Université de Sherbrooke - Dataverse étudiant
Sergues, Edgar, 2024, "Regionalized Life Cycle Impact Assessment datasets for Nunavik, Canada and World resolutions", https://doi.org/10.5683/SP3/MCLYDB, Borealis, V1
These files can be used to import Life Cycle Impact Assessment datasets in Brightway and SimaPro. The datasets contain the characterization factors for eleven regionalized midpoint impact categories, modelled based on the Impact World+ methodology. The midpoint impact categories...
Drone images of river ice in mesoscale rivers in southern Quebec
Oct 7, 2024 - Observations en hydrologie et hydraulique
Litalien, Victoria; Duguay, Jason; Trudel, Mélanie; Foucher, Samuel; Théau, Jérôme; Fouquet, Mathieu, 2024, "Drone images of river ice in mesoscale rivers in southern Quebec", https://doi.org/10.5683/SP3/ASC0BJ, Borealis, V2
This dataset includes videos acquired by drone during the winter of 2022-2023 and 2023-2024. The videos were acquired on four rivers located in southern Quebec, Canada: the Coaticook, Massawippi, Saint-François and L'Assomption rivers. The videos were taken in 4k or HD format wit...
Laboratoire Carpentier(Université de Sherbrooke)
Aug 22, 2024
Speciation du phosphore dans le Lac Memphrémagog
Aug 9, 2024 - Lab Guéguen
Allard, Olivier; Guéguen, Céline, 2024, "Speciation du phosphore dans le Lac Memphrémagog", https://doi.org/10.5683/SP3/5PGE8I, Borealis, V2, UNF:6:SQkS9RSfPrOM03iMZNP/ew== [fileUNF]
Concentrations en soluble reactive phosphorus et DGT-labile phosphorus dans la rivière-aux-Cerises, le ruisseau Castle, et la rivière Magog (Baie de Magog, Lac Memphrémagog)
UN NOUVEL ESPOIR : SCOPING REVIEW SUR LES EFFETS DU SOUTIEN ÉMOTIONNEL DU GESTIONNAIRE DANS LEUR CONTEXTE
Aug 2, 2024 - Université de Sherbrooke - Dataverse étudiant
Jalbert, Jonathan, 2024, "UN NOUVEL ESPOIR : SCOPING REVIEW SUR LES EFFETS DU SOUTIEN ÉMOTIONNEL DU GESTIONNAIRE DANS LEUR CONTEXTE", https://doi.org/10.5683/SP3/50VG39, Borealis, V1
Description des phases de la scoping review intitulé UN NOUVEL ESPOIR : SCOPING REVIEW SUR LES EFFETS DU SOUTIEN ÉMOTIONNEL DU GESTIONNAIRE DANS LEUR CONTEXTE selon le cadre d’analyse proposé par Arksey et O’Malley (2005). Le matériel supplémentaire inclut les phases suivantes :...
Dataset of proteomic analysis of Streptomyces scabies EF-35 in the presence of in vitro-grown potato tubers
Jul 16, 2024 - Université de Sherbrooke - Dataverse étudiant
Isayenka, Iauhenia, 2024, "Dataset of proteomic analysis of Streptomyces scabies EF-35 in the presence of in vitro-grown potato tubers", https://doi.org/10.5683/SP3/N7YXNC, Borealis, V1
This study examines changes in the intracellular proteome of Streptomyces scabies, the main causative agent of potato common scab disease. The dataset presents a proteomic analysis performed using electrospray mass spectrometry (ES MS/MS) on the extracted total intracellular prot...
Benchmark synthesis
Jul 16, 2024 - rule4ml - Resource utilization and Latency Estimation for ML
Ezzaoui Rahali, Hamza; Mehdi Rahimifar, Mohammad; Corbeil Therrien, Audrey, 2024, "Benchmark synthesis", https://doi.org/10.5683/SP3/QLYACO, Borealis, V1
A dataset of literature-based and custom neural networks, for the purpose of testing the performance of trained models at predicting the required resources and inference latency on FPGA.
Observations en hydrologie et hydraulique(Université de Sherbrooke)
Jul 5, 2024
Fully connected networks - 15000 synthesis samples
Jul 1, 2024 - rule4ml - Resource utilization and Latency Estimation for ML
Ezzaoui Rahali, Hamza; Mehdi Rahimifar, Mohammad; Corbeil Therrien, Audrey, 2024, "Fully connected networks - 15000 synthesis samples", https://doi.org/10.5683/SP3/GZNDGW, Borealis, V1
A synthetic fully connected neural networks dataset, generated with hyperparameters randomly sampled from predefined ranges. The dataset of ~15000 samples contains network configuration and FPGA synthesis data to train regression models for resource and latency estimates.
rule4ml - Resource utilization and Latency Estimation for ML(Universit� de Sherbrooke)
Jun 28, 2024IMPETUS
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