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45 results for “Montreal”
PROCRAFT Final Meeting - Educational activities on WWII aircraft at the Montreal Aviation Museum by Jean Desbiens – Montreal Museum
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Multinational evaluation of genetic diversity indicators for the Kunming-Montreal Global Biodiversity Framework
<p>Under the recently adopted Kunming-Montreal Global Biodiversity Framework, 196 Parties committed to report the status of genetic diversity for all species. To facilitate reporting, three genetic diversity indicators were developed, two of which focus on processes contributing to genetic diversity conservation: maintaining genetically distinct populations and ensuring populations are large enough to maintain genetic diversity. The major advantage of these indicators is that they can be estimated with or without DNA-based data. However, demonstrating their feasibility requires addressing the methodological challenges of using data gathered from diverse sources, across diverse taxonomic groups, and for countries of varying socioeconomic status and biodiversity levels. Here, we assess the genetic indicators for 919 taxa, representing 5,271 populations across nine countries, including megadiverse countries and developing economies. Eighty-three percent of taxa assessed had data available to calculate at least one indicator. Our results show that although the majority of species maintain most populations, 58% of species have populations too small to maintain genetic diversity. Moreover, genetic indicator values suggest that IUCN Red List status and other initiatives fail to assess genetic status, highlighting the critical importance of genetic indicators.</p>
The Montreal Protocol is delaying the occurrence of the first ice-free Arctic summer
<p>Data needed to reproduce results from this PNAS study, England and Polvani (2023). These include the sea ice concentration, surface temperature and sea ice extent from the standard CESM1 runs 1985-2050 with RCP4.5 and RCP8.5, the companion World Avoided RCP4.5 and RCP8.5 simulations and the World Avoided with ODS only RCP4.5 simulations.</p>
Multinational evaluation of genetic diversity indicators for the Kunming-Montreal Global Biodiversity Framework
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Montreal high-resolution climate data
<p>This proof-of-concept study couples machine learning and physical modelling paradigms to develop a computationally efficient simulator-emulator framework for generating super-resolution (< 250 m) urban climate information, that is required by many sectors. The temperature and dew point fields for 2019 and 2020 and the geophysical fields (geophys.rar) for the study domain, at 2.5 km (LR) and 250 m (HR) resolutions, which are used to train and validate the proposed super-resolution deep learning (DL) model/emulator are provided. </p>
Montreal Protocol's impact on the ozone layer and climate
<p>These are the datasets used for the paper: Montreal Protocol's impact on the ozone layer and climate</p>
Data from: Variation in flower size and shape of Impatiens capensis is correlated with urbanization in Montreal, Canada
<p><span>Urbanization is changing the conditions in which many species live, forcing them to adjust to these novel environments. Floral size and shape are critical traits for the reproduction of plants pollinated by animals as they are involved in the attraction of pollinators and in efficient pollination. Variation in size and shape could be affected by urbanization via its modification of the abiotic environment (habitat fragmentation, water availability, temperature, soil properties), or via its impact on the biotic environment of plants (pollination, herbivory). Although numerous studies have assessed the impact of urbanization on pollinator communities and on many plant traits, few have investigated its impact on floral size and shape while quantifying the proportion of the total urbanization effect that is due to biotic interactions. In this study, we tested if urbanization and pollinator visitation rates affects the flower shape of the spotted jewelweed, <em>Impatiens capensis</em>. We quantified size and shape of flowers in frontal and profile views using geometric morphometrics for 228 individuals from six populations from the region of Montreal, Canada. Pollinator visitation rates were estimated at each site and the main pollinators were found to be bumblebees, honeybees and hummingbirds. We found that floral size and shape are significantly correlated with urbanization as measured by the amount of vegetation in the surrounding environment of the plants (mean normalized vegetation index, NDVI) and by the visitation rates of bumblebees and honey bees. Partitioning of the total flower shape variation suggests that urbanization affects flower shape through abiotic factors and via its impact on pollinator visitation rates. While further studies from other cities are necessary to confirm the role of urbanization in shaping the floral shape of <em>I. capensis</em>, these results support the idea that urbanization could affect flower shapes.</span></p>
Bureaux d'affaires à Montréal - données historiques / Montreal office buildings - historical data
<p>Les données présentées ici ont servi à l’écriture de la monographie : <em>Les bureaux d’affaires à Montréal – historique et état des lieux</em> publiée en juin 2022. La monographie est aussi disponible ici en format PDF.</p> <p>Renseignements concernant l’auteur :</p> <p>Michel Hudon, Saint-Pacôme (Québec), Canada, <a href="mailto:m.hudon51@videotron.ca">m.hudon51@videotron.ca</a></p> <p>Description sommaire :</p> <p>La <strong>monographie</strong> retrace l’historique de la localisation des bureaux d’affaires à Montréal et cherche à en expliquer les moteurs. Afin d’établir un portrait quantitatif autant que qualitatif du phénomène, elle fait un suivi détaillé de l’inventaire des espaces de bureaux, immeuble par immeuble, et estime la progression annuelle de l’espace occupé par les bureaux dans chacun des secteurs géographiques définis.</p> <p>Dans les chapitres 1 à 8, elle se concentre sur le centre-ville, puis dans les chapitres 9 à 11, elle analyse la construction de bureaux et leur décentralisation dans les différentes couronnes de développement commercial qui l’entourent.</p> <p>Chaque chapitre fait d’abord un rappel de l’évolution économique durant la période considérée, puis l’analyse des variables urbanistiques (croissance urbaine et répartition spatiale des diverses fonctions). Vient ensuite l’étude du développement des bureaux proprement dit, secteur par secteur.</p> <p>Cette étude s’inscrit dans les recherches traditionnelles sur la géographie des bureaux d’affaires et vise à une meilleure compréhension de la spécificité montréalaise dans ce domaine tout en fournissant une base statistique à des études plus poussées sur la question.</p> <p>Les <strong>données historiques</strong> compilées touchent toute la région métropolitaine de Montréal sur toute la période historique des débuts de la ville jusqu’au printemps 2022. Elles traitent tous les types d’immeubles accueillant des bureaux mobiles.</p> <p>La banque de données classe les immeubles de bureaux par secteur et sous-secteurs suivant les zones d’analyse habituellement reconnues par le marché et elle les catégorise suivant leurs principales caractéristiques physiques.</p> <p>L’objectif premier de cette banque de données est de préciser pour chaque année et chaque sous-secteur le volume d’espace disponible à l’usage de bureaux d’affaires, qu’il soit ou non occupé. Un tel relevé exhaustif devrait permettre des analyses en relation avec diverses variables économiques.</p> <p>Le fichier principal des immeubles s’accompagne d’un fichier de photos et d’un fichier d’articles de journaux.</p> <p>Date de la collecte de données : de 1984 à 2022</p> <p>Date de production des données : 2022-06-01</p> <p>Date de publication des données : 2022-06-01</p> <p>Localisation géographique de la collecte de données : Montréal (région métropolitaine) détaillée en 14 grands secteurs et 72 sous-secteurs</p> <p>Renseignements concernant les organismes subventionnaires ou commanditaires de cette collecte de données : Les données ont été colligées auprès des différentes firmes immobilières, des propriétaires et gestionnaires d’immeubles, des municipalités, notamment aux Archives de la Ville de Montréal ainsi que dans la presse spécialisée. Elles ont été comparées, vérifiées et normalisées par l’auteur.</p>
Data from: Variation in flower size and shape of Impatiens capensis is correlated with urbanization in Montreal, Canada
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Data from: How can China curb biological invasions to meet Kunming-Montreal Target 6?
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surface refractivity and its dry and wet components measured data at Kuujjuaq and Montreal stations
<p>surface refractivity and its dry and wet components measured data at Kuujjuaq and Montreal stations </p>
Montreal climate data for building simulations with urban heat island effects and nature-based solutions
<p>As cities face rising temperatures, increased frequency of extreme weather events, and altered precipitation patterns, buildings are subjected to increasing energy demand, heat stress, thermal comfort issues, and decreased service life. Therefore, evaluating building performance under changing climate conditions is essential for building sustainable and resilient communities. Unique climate characteristics of cities, such as the urban heat island effect, are not well simulated by global or regional climate models, and is therefore often not included in typical building analyses. Consequently, a computationally efficient approach is used to generate “urbanized” climate data, derived from regional climate models, to prepare building simulation climate data that incorporate urban effects. We demonstrate this process using existing climate data for Montreal airport’s weather station and extend it to prepare projections for scenarios where nature-based solutions, such as increased greenery and albedo, were implemented. We find significant improvements in the representation of the urban heat island and subsequent cooling effects of nature-based solutions in the urbanized climate data. This dataset allows building practitioners to evaluate building performance under historical and potential future changes in climate, considering the complex interactions within the urban canopy and the implementation of mitigation efforts such as nature-based solutions.</p> <p>This dataset contains hourly historical and future weather files for use in building simulations for the city of Montreal, Canada. While similar weather files are usually based on measurements taken at a city's nearby airport, the current dataset utilizes a novel statistical-dynamical downscaling technique which involves the use of the dynamical Weather Research and Forecasting (WRF) model combined with a statistical approach and climate projections from an ensemble of 15 Canadian Regional Climate Model 4 (CanRCM4) to generate urban climate data which includes the effects of the urban heat island and different nature-based solutions (NBS) as mitigation strategies (such as increasing surface albedo and greenery). Additionally, different levels of implementation of these mitigation strategies were produced, for example, when the albedo is increased to 0.40 (ALBD40) and 0.80 (ALBD80), and similarly for the green and combined scenarios, GRN40, GRN80, COMB40, and COMB80. The URBAN scenario is considered the control case where the urban heat island effects are accounted for in the data, but the NBS scenarios are not yet implemtned. </p> <p>The data are stored in large CSV files, where the rows consists of all 15 realizations of the CanRCM4 ensemble and the variables make up the columns. For example, each 31-year period is repeated 15 times, once for each of the RCM realizations. Therefore, there are 4,073,400 (15x31x8760) rows in each file. We recommend viewing the data using packages from Python or R. </p> <p> </p> <p>The historical and future global warming thresholds and their corresponding time periods are as follows:</p> <table> <tbody> <tr> <td> <p><strong>Global Warming Scenario</strong></p> </td> <td> <p><strong>Time Period</strong></p> </td> </tr> <tr> <td> <p><strong>Historical</strong></p> </td> <td> <p>1991-2021</p> </td> </tr> <tr> <td> <p><strong>Global Warming 0.5ºC</strong></p> </td> <td> <p>2003-2033</p> </td> </tr> <tr> <td> <p><strong>Global Warming 1.0ºC</strong></p> </td> <td> <p>2014-2044</p> </td> </tr> <tr> <td> <p><strong>Global Warming 1.5ºC</strong></p> </td> <td> <p>2024-2054</p> </td> </tr> <tr> <td> <p><strong>Global Warming 2.0ºC</strong></p> </td> <td> <p>2034-2064</p> </td> </tr> <tr> <td> <p><strong>Global Warming 2.5ºC</strong></p> </td> <td> <p>2042-2072</p> </td> </tr> <tr> <td> <p><strong>Global Warming 3.0ºC</strong></p> </td> <td> <p>2051-2081</p> </td> </tr> <tr> <td> <p><strong>Global Warming 3.5ºC</strong></p> </td> <td> <p>2064-2094</p> </td> </tr> </tbody> </table> <p> </p> <p>The following variables are included in the files:</p> <table> <tbody> <tr> <td><strong>Variable</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td><strong>RUN</strong></td> <td>Run number (R1-R15) of Canadian Regional Climate Model, CanRCM4 large ensemble associated with the selected reference year data</td> </tr> <tr> <td><strong>YEAR</strong></td> <td>Year associated with the record</td> </tr> <tr> <td><strong>MONTH</strong></td> <td>Month associated with the record</td> </tr> <tr> <td><strong>DAY</strong></td> <td>Day of the month associated with the record</td> </tr> <tr> <td><strong>HOUR</strong></td> <td>Hour associated with the record</td> </tr> <tr> <td><strong>YDAY</strong></td> <td>Day of the year associated with the record</td> </tr> <tr> <td><strong>DRI_kJPerM2</strong></td> <td>Direct horizontal irradiance in kJ/m2 (total from previous HOUR to the HOUR indicated)</td> </tr> <tr> <td><strong>DHI_kJperM2</strong></td> <td>Diffused horizontal irradiance in kJ/m2 (total from previous HOUR to the HOUR indicated)</td> </tr> <tr> <td><strong>DNI_kJperM2</strong></td> <td>Direct normal irradiance in kJ/m2 (total from previous HOUR to the <em>HOUR</em> indicated)</td> </tr> <tr> <td><strong>GHI_kJperM2</strong></td> <td>Global horizontal irradiance in kJ/m2 (total from previous HOUR to the HOUR indicated)</td> </tr> <tr> <td><strong>TCC_Percent</strong></td> <td>Instantaneous total cloud cover at the HOUR in % (range: 0-100)</td> </tr> <tr> <td><strong>RAIN_Mm</strong></td> <td>Total rainfall in mm (total from previous HOUR to the HOUR indicated)</td> </tr> <tr> <td><strong>WDIR_ClockwiseDegFromNorth</strong></td> <td>Instantaneous wind direction at the HOUR in degrees (measured clockwise from the North)</td> </tr> <tr> <td><strong>WSP_MPerSec</strong></td> <td>Instantaneous wind speed at the HOUR in meters/sec</td> </tr> <tr> <td><strong>RHUM_Percent</strong></td> <td>Instantaneous relative humidity at the HOUR in %</td> </tr> <tr> <td><strong>TEMP_K</strong></td> <td>Instantaneous temperature at the HOUR in Kelvin</td> </tr> <tr> <td><strong>ATMPR_Pa</strong></td> <td>Instantaneous atmospheric pressure at the HOUR in Pascal</td> </tr> <tr> <td><strong>SnowC_Yes1No0 </strong></td> <td>Instantaneous snow-cover at the HOUR (1 - snow; 0 - no snow)</td> </tr> <tr> <td><strong>SNWD_Cm</strong></td> <td>Instantaneous snow depth at the HOUR in cm</td> </tr> </tbody> </table>
The Success of the Montreal Protocol for Climate Mitigation: Antarctica Ozone hole Recovery Perspective
<p>The monitoring of the ozone in the Earth’s atmosphere began in the 1970s due to its absorbing nature of radiation from the Sun, which is harmful to humans and prevents it from reaching the surface of the Earth. However, considerable global attention has been drawn after the finding of the ozone hole, which is associated with a significant drop in total columnar ozone (TCO), specifically a fall in stratospheric ozone (SO) during the spring of 1984. Since then, numerous studies on the Antarctic ozone hole have been conducted following the Vienna Convention and its Montreal Protocol (the ozone treaties) to sustain the ozone layer. In response to this, the Montreal Protocol was developed under the umbrella of the United Nations Environment Programme (UNEP) to protect the thinning of the ozone layer. With 197 participating nations, it is a substantial step toward universal ratification. </p> <p>Towards this, the present study utilized TCO data from the National Aeronautics and Space Administration (NASA)'s Nimbus-7/Total Ozone Mapping Spectrometer (TOMS), TOMS-Earth Probe, and Aura/Ozone Monitoring Instrument (OMI) sensors at various time periods. Due to the varied spatial resolution of the missions, daily data were resampled to 1˚×1˚ (latitude × longitude) and generated daily unified spatial resolution matrixes.</p> <table> <tbody> <tr> <td> <p><strong>S.No.</strong></p> </td> <td> <p><strong>Parameter</strong></p> </td> <td> <p><strong>Sensor</strong></p> </td> <td> <p><strong>Data Period</strong></p> </td> <td> <p><strong>Resolution in degrees</strong></p> <p><strong>(Latitude </strong><strong>× Longitude)</strong></p> </td> <td> <p><strong>Data Resource</strong></p> </td> </tr> <tr> <td> <p>1</p> </td> <td> <p>Total Columnar Ozone (TCO)</p> </td> <td> <p>NIMBUS-7/TOMS</p> </td> <td> <p>1979-1993</p> </td> <td> <p>1°×1.25°</p> </td> <td> <p> </p> <p>https://earthdata.nasa.gov/</p> </td> </tr> <tr> <td> <p>2</p> </td> <td> <p>TOMS-EP</p> </td> <td> <p>1996-2005</p> </td> <td> <p>1°×1.25°</p> </td> <td> <p> </p> <p>https://earthdata.nasa.gov/</p> </td> </tr> <tr> <td> <p>3</p> </td> <td> <p>AURA/OMI</p> </td> <td> <p>2004-2020</p> </td> <td> <p>0.25°×0.25°</p> </td> <td> <p> </p> <p>https://earthdata.nasa.gov/</p> </td> </tr> <tr> <td> <p>4</p> </td> <td> <p>Ozone Depleting Substances (ODS) emissions</p> </td> <td> <p> </p> <p>1985-2015</p> </td> <td> <p> </p> <p>Global data</p> </td> <td> <p>https://ourworldindata.org</p> </td> </tr> </tbody> </table>
Effect of urban heat island mitigation strategies on precipitation and temperature in Montreal, Canada: case studies - Data from numerical experiments
<p>Surface data from the numerical experiments for the paper : "Effect of urban heat island mitigation strategies on precipitation and temperature in Montreal, Canada: case studies", submitted in PLOS Climate. </p> <p>The data is in NetCDF, structure as follow: 1 file per initialization date that contains the model outputs for the surface variables (air temperature, dew-point, relative humidity) and 1 file per initialization date that contains the accumulated precipitation. </p>
Institut de Recherche Cliniques de Montreal (IRCM) Post-COVID-19 (IPCO) Research Clinic
ClinicalTrials.gov study NCT04736732. IPD Sharing: YES. Countries: 1. Publications: 0.
Lipid Testing After Myocardial Infarction at the Montreal Heart Institute
ClinicalTrials.gov study NCT06388668. IPD Sharing: UNDECIDED. Countries: 1. Publications: 9.
Validation of the Montreal Cognitive Assessment (MoCA) Version 8.x and MoCA-MIS in Greece.
ClinicalTrials.gov study NCT07297121. IPD Sharing: NO. Countries: 1. Publications: 4.
Correlation Between Montreal Cognitive Assessment and Voice Therapy Outcomes in the Aging Treatment- Seeking Population
ClinicalTrials.gov study NCT05187910. IPD Sharing: NO. Countries: 1. Publications: 5.
Protocoled Quantitative Assessment of Aortic Regurgitation Using Videodensitometry in a Multicontinental Trial in Rotterdam, Montreal, Yamaguchi, Segeberg, Amsterdam.
ClinicalTrials.gov study NCT03644784. IPD Sharing: NO. Countries: 5. Publications: 1.
Montreal Heart Attack Readjustment Trial (M-HART)
ClinicalTrials.gov study NCT00000533. IPD Sharing: Not stated. Countries: 0. Publications: 2.
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.