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Mamuji, Aaida; Rozdilsky, Jack L.; Lee, Charlotte T.; Mwarumba, Njoki; Tubula, Martin; Chu, Terri 2020-09-22 The purpose of this phase of the research was to explore how members of Chinese diaspora communities in large global urban centers, namely the Greater Toronto Area (GTA) and the Greater Nairobi Metropolitan Region, are coping and reacting to COVID-19. To be included, participants must have identified as being ethnically Chinese, be over 18 years of age, and have lived in the GTA or Nairobi Metropolitan for at least 1 year prior to the start of the pandemic. A team of researchers was assembled from York University (Canada), Ryerson University (Canada), the University of Nebraska – Omaha (United States), and Afroscope Consulting (Kenya) to conduct a series of interviews in either English, Cantonese or Mandarin. Audio recordings of the interviews were transcribed, and where necessary translated into English. This dataset contains the de-identified interview data collected in the GTA.
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Godin, Paul 2022-06-01 Images of Samples used.
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Godin, Paul 2020-04-09 Matlab code to ratio images
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Orlandini, Rosa 2019-05-10 If you have additional information about the locations of specific Indian Residential Schools (Boarding Schools, Hostels, and Industrial Schools) and would like to have it included in future versions of the database, please contact Rosa Orlandini. <p>The Residential Schools Locations Dataset in shapefile format contains the locations (latitude and longitude) of Residential Schools and student hostels operated by the federal government in Canada. All the residential schools and hostels that are listed in the Indian Residential School Settlement Agreement are included in this data set, as well as several Industrial schools and residential schools that were not part of the IRRSA. This version of the dataset doesn’t include the five schools under the Newfoundland and Labrador Residential Schools Settlement Agreement.</p> <p>The original school location data was created by the Truth and Reconciliation Commission, and was provided to the researcher (Rosa Orlandini) by the National Centre for Truth and Reconciliation in April 2017. The data set was created by Rosa Orlandini, and builds upon and enhances the previous work of the Truth and Reconcilation Commission, Morgan Hite (creator of the Atlas of Indian Residential Schools in Canada that was produced for the Tk'emlups First Nation and Justice for Day Scholar's Initiative, and Stephanie Pyne (project lead for the Residential Schools Interactive Map). Each individual school location in this dataset is attributed either to RSIM, Morgan Hite, NCTR or Rosa Orlandini.</p> <p>Many schools/hostels had several locations throughout the history of the institution. If the school/hostel moved from its’ original location to another property, then the school is considered to have two unique locations in this data set,the original location and the new location. For example, Lejac Indian Residential School had two locations while it was operating, Stuart Lake and Fraser Lake. If a new school building was constructed on the same property as the original school building, it isn't considered to be a new location, as is the case of Girouard Indian Residential School. When the precise location is known, the coordinates of the main building are provided, and when the precise location of the building isn’t known, an approximate location is provided.</p> <p>For each residential school institution location, the following information is provided: official names, alternative name, dates of operation, religious affiliation, latitude and longitude coordinates, community location, Indigenous community name, contributor (of the location coordinates), school/institution photo (when available), location point precision, type of school (hostel or residential school) and list of references used to determine the location of the main buildings or sites.</p> <p>The geographic coordinate system for this dataset is WGS 1984. The data in shapefile format [IRS_locations.zip] can be viewed and mapped in a Geographic Information System software. Detailed metadata in xml format is available as part of the data in shapefile format. In addition, the field name descriptions (IRS_locfields.csv) and the detailed locations descriptions (IRS_locdescription.csv) should be used alongside the data in shapefile format.</p>
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Lemelin, Myriam 2019-11-20 This repository contains the data generated by Lemelin et al. (2019)* regarding the analysis of the topographic roughness of the Moon using the Wavelet Leaders Method and the Lunar Digital Elevation Model from the Lunar Orbiter Laser Altimeter and SELENE Terrain Camera. Near global mosaics (+/- 60 degrees in latitude) of the Holder exponent values and the correlation coefficient can be found for the three scaling regimes analysed. Local mosaics of the Holder exponent values for the smallest scaling regime, and for the intermediate scaling regime (in some cases) can be found for the seven regions of interest analysed at a higher spatial resolution than the global product. The definition of the scaling regimes can be found in Lemelin et al. (2019). These data products are stored as geotiffs using the GCS_Moon_2000 (datum D_Moon_2000) coordinate system. The data used to generate figures 7 and 8 in Lemelin et al. (2019) can also be found here as an excel table. Data products: • global holder exponents scales j=0-1 (geotiff): 65 Mb • global holder exponents scales j=2-6 (geotiff): 65 Mb • global holder exponents scales j=7-9 (geotiff): 65 Mb • global correl coeffs scales j=0-1 (geotiff): 65 Mb • global correl coeffs scales j=2-6 (geotiff): 65 Mb • global correl coeffs scales j=7-9 (geotiff): 65 Mb • holder Aristarchus scales j=0-2: 33 Mb • holder Copernicus scales j=0-2: 16 Mb • holder Tycho scales j=0-2: 16 Mb • holder Orientale scales j=0-2: 263 Mb • holder Orientale scales j=3-7: 263 Mb • holder Crisium scales j=0-2: 263 Mb • holder Crisium scales j=3-7: 263 Mb • holder Rima Ariadeus scales j=0-2: 33 Mb • holder Rima Ariadeus scales j=3-7: 33Mb • holder Schiller-Schickard scales j=0-2: 66 Mb • data table used to generate the plots in figures 7&8: 43 Kb *Lemelin, M., Daly, M., and Deliège, A. (2019) Analysis of the topographic roughness of the Moon using the Wavelet Leaders Method and the Lunar Digital Elevation Model from the Lunar Orbiter Laser Altimeter and SELENE Terrain Camera, Journal of Geophysical Research - Planets.
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Orlandini, Rosa 2019-05-15 <p>The Residential Schools Locations Dataset in Geodatabase format (IRS_Locations.gbd) contains a feature layer "IRS_Locations" that contains the locations (latitude and longitude) of Residential Schools and student hostels operated by the federal government in Canada.<p> <p>All the residential schools and hostels that are listed in the Residential Schools Settlement Agreement are included in this dataset, as well as several Industrial schools and residential schools that were not part of the IRRSA. This version of the dataset doesn’t include the five schools under the Newfoundland and Labrador Residential Schools Settlement Agreement.</p> <p>The original school location data was created by the Truth and Reconciliation Commission, and was provided to the researcher (Rosa Orlandini) by the National Centre for Truth and Reconciliation in April 2017. The dataset was created by Rosa Orlandini, and builds upon and enhances the previous work of the Truth and Reconcilation Commission, Morgan Hite (creator of the Atlas of Indian Residential Schools in Canada that was produced for the Tk'emlups First Nation and Justice for Day Scholar's Initiative, and Stephanie Pyne (project lead for the Residential Schools Interactive Map). Each individual school location in this dataset is attributed either to RSIM, Morgan Hite, NCTR or Rosa Orlandini.</p> <p>Many schools/hostels had several locations throughout the history of the institution. If the school/hostel moved from its’ original location to another property, then the school is considered to have two unique locations in this dataset,the original location and the new location. For example, Lejac Indian Residential School had two locations while it was operating, Stuart Lake and Fraser Lake. If a new school building was constructed on the same property as the original school building, it isn't considered to be a new location, as is the case of Girouard Indian Residential School.When the precise location is known, the coordinates of the main building are provided, and when the precise location of the building isn’t known, an approximate location is provided.</p> <p>For each residential school institution location, the following information is provided: official names, alternative name, dates of operation, religious affiliation, latitude and longitude coordinates, community location, Indigenous community name, contributor (of the location coordinates), school/institution photo (when available), location point precision, type of school (hostel or residential school) and list of references used to determine the location of the main buildings or sites.</p> <p><strong>Access Instructions</strong>: there are 47 files in this data package. Please download the entire data package by selecting all the 47 files and click on download. Two files will be downloaded, IRS_Locations.gbd.zip and IRS_LocFields.csv. Uncompress the IRS_Locations.gbd.zip. Use QGIS, ArcGIS Pro, and ArcMap to open the feature layer IRS_Locations that is contained within the IRS_Locations.gbd data package. The feature layer is in WGS 1984 coordinate system. There is also detailed file level metadata included in this feature layer file. The IRS_locations.csv provides the full description of the fields and codes used in this dataset. </p>
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Ruest, Nick 2014-11-13 The requested Twitter archives for @gccaedits.
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Mahdaviani, Kimia; Anne Thaler; Konrad Kording; Douglas James Cook; Gunnar Blohm; Nikolaus F. Troje; Ghorbani, Saeed 2020-03-05 <p>PLEASE NOTE: <br />1. When requesting for access, please select all 1,056 files.<br />2. The README.pdf file has been updated. Please refer to the new file in the dataset or to the link below. <br />In order to download the files from this dataverse, please refer to the tutorial found <a href="https://www.biomotionlab.ca/Data/Tutorials/DataverseTutorialBMLmoviV2.pdf">here</a></p> <p>Updates: Tags have been added to help filter data</p> MoVi is the first human motion dataset to contain synchronized pose, pose-dependent shape and video recordings. The MoVi database can be applied in human pose estimation and tracking, human motion prediction and synthesis, action recognition and gait analysis.
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Davis, Zoe; McLaren, Robert 2020-06-23 This is the dataset associated with the article "Recommendations for spectral fitting of SO2 from MAX-DOAS measurements" by Davis, Z. Y. W. and McLaren, R. The instrument used was an OceanOptics USB2000 spectrometer in a miniature-MAX-DOAS instrument. Software used to interpret the data was DOASIS (https://doasis.iup.uni-heidelberg.de/bugtracker/projects/doasis/). See the "Methods" section in https://doi.org/10.5194/amt-2019-420 for the description of data collection/generation and processing. Environmental/experimental conditions: Clear-sky conditions. Use the "Change View" option to view files in the hierarchical "tree" structure. Read the "MAX_DOAS_SO2_ReadMe.txt" file first for detailed information of the dataset and the description of the folder/file organization.

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