To manage future green spaces on campus and adopt to the changing climate, the Social Ecological Economic Development Studies (SEEDS) program of the University of British Columbia (UBC) organized a series of projects to predict the climate suitability (occurrence probability) of some common tree species existing at the UBC Vancouver campus by 2100. With a generally low climate suitability, coniferous trees are more vulnerable to the change of precipitation and temperature, and climate change is threatening the growth of coniferous trees in British Columbia, Canada. Western hemlock (Tsuga heterophylla) is a common coniferous tree species occurring at UBC Vancouver campus and was chosen to be analyzed in this study. The analysis of climate suitability was done using a MaxEnt model. As a machine-learning algorithm not requiring data about absent points, MaxEnt is considered to be a good tool for predicting the distribution of species. There were 19 bioclimatic variables tested in the analysis, and the precipitation in the coldest quarter of the year was determined to be the most important climatic variable affecting the growth of Western hemlock. The results showed that the occurrence probability of Western hemlock would drop from its current ~87% to ~10% under one of the most likely climate models in 2100. Although this result could not represent the real occurrence probability of Western hemlock by the end of the century due to the limited data and variables considered (climate only), this study provided a reference for future climate suitability analysis at UBC Vancouver campus of other tree species and could potentially help with the protection of existing Western hemlock at the campus.

In a previous paper using Gaia DR2 data, we demonstrated that the two closely situated open clusters Collinder 135 and UBC 7 might have formed together about 50Myr ago. In this work, we performed star-by-star dynamical modelling of the evolution of the open clusters Collinder 135 and UBC 7 from their supposed initial state to their present-day state, reproducing observational distributions of members. Modelling of the Collinder 135 and UBC 7 dynamical evolution was done using the high-order parallel N-body code phi-GPU with up-to-date stellar evolution. Membership and characteristics of the clusters were acquired based on Gaia DR3 data. The comparison of the present-day radial cumulative star count obtained from the N-body simulations with the current observational data gave us full consistency of the model with observational data, especially in the central 8 pc, where 80% of the stars reside. The proper motion velocity components obtained from the N-body simulations of the stars are also quite consistent with the observed distributions and error bars. These results show that our numerical modelling is able to reproduce the open clusters' current complex 6D observed phase-space distributions with a high level of confidence. Thus, the model demonstrates that the hypothesis of a common origin of Collinder 135 and UBC 7 complies with present-day observational data. Cone search capability for table J/A+A/686/A225/members (List of sources selected as members to the system of Collinder 135 and UBC 7)

UBC-OCEAN

UBC Ovarian Cancer Subtype Classification and Outlier Detection [UBC-OCEAN] is the world's most extensive ovarian cancer dataset of histopathology images obtained from more than 20 medical centers. Navigating Ovarian Cancer: Unveiling Common Histotypes and Unearthing Rare Variants

  Citation

@misc{UBC-OCEAN, author = {Ali Bashashati, Hossein Farahani, OTTA Consortium, Anthony Karnezis, Ardalan Akbari, Sirim Kim, Ashley Chow, Sohier Dane, Allen Zhang, Maryam… See the full description on the dataset page: https://huggingface.co/datasets/NouRed/UBC-OCEAN-Thumbnails.

Cycle 5: collected data from persons 15 years and older and concentrated on the respondent's family and friends and interactions with them. Topics covered include marital history, common law unions, natural, adopted and step children, potential support networks, division of household work and support given and received.

Obtaining reliable predictions of the subsurface will provide a critical advantage for explorers seeking mineral deposits at depth and beneath cover. A common approach in achieving this goal is to use deterministic property-based inversion of potential field data to predict a 3D subsurface distribution of physical properties that explain measured gravity or magnetic data. The non-uniqueness of inversions of potential field data mandates careful and consistent parameterization of the problem to ensure realistic solutions. Including all prior geological knowledge as constraints on the inversion also helps ensure that the recovered predictions are consistent with both the geophysical data and the geological knowledge.

We review how potential field inversions are best applied for mineral exploration problems using the UBC-GIF inversion algorithms. We use examples to emphasise the importance of mesh design and applying appropriate data processing, and identify the approach for defining key parameters such as data uncertainty, potential field weighting functions, and numerical parameters that approximate prior geological knowledge of in situ trends, geometries and properties. Consistent application of these techniques will ensure the most reliable predictive physical property models for explorers.

The variables contained in the data sets are primarily concerned with perinatal outcomes and maternal health. A number of variables with respect to the social and economic status of the mothers and their families were also included (ie. Occupation, Marital status, Region). While all nine data sets are centered around these common themes and hold many variables in common, each data set has a unique combination of variables. The types of fields are wide-ranging but are primarily concerned with infant birth, maternal health, and socioeconomic status.

65 paired tumor and normal whole-genome sequencing samples from urothelial bladder carcinomas (UBC, the most common type of bladder cancer) are used to uncover the whole-genome mutational landscape of UBC. Recurrent mutations in noncoding regions affecting gene regulatory elements and structural variations leading to gene disruptions are prevalent in this type of cancer.

Introduction Concretely Annotated New York Times was developed by Johns Hopkins University’s Human Language Technology Center of Excellence. It adds multiple kinds and instances of automatically-generated syntactic, semantic and coreference annotations to The New York Times Annotated Corpus (LDC2008T19). Concrete is a schema for representing structured, hierarchical and overlapping linguistic annotations. This release provides multiple tool outputs producing the same annotation types as different annotation theories under a shared tokenization. Data Concretely Annotated New York Times contains all of the 1.8 million articles in The New York Times Annotated Corpus. Those articles were written and published by the New York Times between January 1, 1987 and June 19, 2007; the 2008 corpus also includes metadata provided by the New York Times Newsroom, the New York Times Indexing Service and the online production staff at nytimes.com. The following layers of annotation were added by processing the articles under the Concrete schema: Segmented sentences and Penn Treebank-style tokenized words Treebank-style constituent parse trees Four different syntactic dependency trees Named entities Part of speech tags Lemmas In-document entity coreference chains Three different frame semantic parses See analytics.pdf for the list of tools used to create those annotations. The data is stored in a binary form called Concrete, which is based on Apache Thrift. Concrete can be read and written in many common programming languages, such as Java, Python, Javascript and C++. Concrete also includes a number of utilities to access and view the data in human-readable forms. The original NITF (News Industry Text Format) document structure in The New York Times Annotated Corpus was preserved in this Concrete version.

Access to these data files and dissemination of data retrieved from them is restricted to current faculty, staff or students employed by, or studying at UBC. Users must also abide by the DMTI License Agreement. Canada's most comprehensive business and recreational point of interest data for market analysis and location based applications. The Enhanced Points of Interest (EPOI) file is a national database of over 1 million Canadian business and recreational points of interest. Engineered using CanMap Streetfiles, each EPOI has been accurately geocoded and precisely placed; two criteria that are fundamental to any successful location sensitive service. This location enriched point of interest database allows users to see and analyze selected point of interest data in a given geographic area, enabling applications such as wireless location-based services (LBS), Web, Telematics, planning, real estate multiple listing services (MLS), retail site analysis, competitive and market research, intelligent routing, sales territory analysis, business and tourism. Features Include: This data set fully integrates across the CanMap suite of mapping data products, and includes: Coordinate location (X, Y) Standard industry classification code (SIC) Business or recreational names address, city, province, postal code, telephone number Common Address Flag (CAF) allowing users to identify records with identical addresses Attribute precision codes DMTI Spatial sourced points of interest include: Aerodromes Border Crossings and Custom Offices Car Pool Lots Gas Stations Car Rental Agencies Shopping Centres and Strip Malls Education and Health Care Financial Institutions Hotel Accommodations Golf Courses Police Stations Toll Booths Tourist Information Weigh Stations Cinemas Ski Centres

Time series were constructed of currency exchange rates for the ASEAN-5+3 members. ASEAN-5 comprises the original five members of ASEAN, namely Indonesia, Malaysia, the Philippines, Singapore, and Thailand. ASEAN-5+3 further comprises Japan, the People's Republic of China, and South Korea. The Swiss franc was used as the base currency. To ensure uniformity of data scope and analysis, the date range was limited to November 16, 1995 to December 31, 2018, i.e., N=5738. Days were deleted from all data sets if they were not common to all eight data sets. Data was obtained from the PACIFIC Exchange Rate Service at the University of British Columbia Sauder School of Business (Antweiler, W., Foreign Exchange Rates, http://fx.sauder.ubc.ca/data.html, last accessed October 10, 2019.). File format is JulianDay Date DayofhteWeek JapaneseYen ChineseRenminbo SouthKoreanWon IndonesianRupiah MalaysianRinggit PhilippinePeso SingaporeDollar ThaiBaht.

Housing Assessment Resource Tools (HART) This dataset contains 2 tables and 5 files which draw upon data from the 2021 Census of Canada. The tables are a custom order and contain data pertaining to older adults and housing need. The 2 tables have 6 dimensions in common and 1 dimension that is unique to each table. Table 1's unique dimension is the "Ethnicity / Indigeneity status" dimension which contains data fields related to visible minority and Indigenous identity within the population in private households. Table 2's unique dimension is "Structural type of dwelling and Period of Construction" which contains data fields relating to the structural type and period of construction of the dwelling. Each of the two tables is then split into multiple files based on geography. Table 1 has two files: Table 1.1 includes Canada, Provinces and Territories (14 geographies), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); and Table 1.2 includes Canada and the CMAs of Canada (44). Table 2 has three files: Table 2.1 includes Canada, Provinces and Territories (14), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); Table 2.2 includes Canada and the CMAs of Canada excluding Ontario and Quebec (20 geographies); and Table 2.3 includes Canada and the CMAs of Canada that are in Ontario and Quebec (25 geographies). The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom order from Statistics Canada includes the following dimensions and data fields: Geography: - Country of Canada as a whole - All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia) as a whole - All 3 Territories (Nunavut, Northwest Territories, Yukon), as a whole as well as all census divisions (CDs) within the 3 territories - All 43 census metropolitan areas (CMAs) in Canada Data Quality and Suppression: - The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. - Area suppression is used to replace all income characteristic data with an 'x' for geographic areas with populations and/or number of households below a specific threshold. If a tabulation contains quantitative income data (e.g., total income, wages), qualitative data based on income concepts (e.g., low income before tax status) or derived data based on quantitative income variables (e.g., indexes) for individuals, families or households, then the following rule applies: income characteristic data are replaced with an 'x' for areas where the population is less than 250 or where the number of private households is less than 40. Source: Statistics Canada - When showing count data, Statistics Canada employs random rounding in order to reduce the possibility of identifying individuals within the tabulations. Random rounding transforms all raw counts to random rounded counts. Reducing the possibility of identifying individuals within the tabulations becomes pertinent for very small (sub)populations. All counts are rounded to a base of 5, meaning they will end in either 0 or 5. The random rounding algorithm controls the results and rounds the unit value of the count according to a predetermined frequency. Counts ending in 0 or 5 are not changed. Universe: Full Universe: Population aged 55 years and over in owner and tenant households with household total income greater than zero in non-reserve non-farm private dwellings. Definition of Households examined for Core Housing Need: Private, non-farm, non-reserve, owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'Core Housing Need.' Non-family Households with at least one household maintainer aged 15 to 29 attending school are considered not to be in Core Housing Need, regardless of their housing circumstances. Data Fields: Table 1: Age / Gender (12) 1. Total – Population 55 years and over 2. Men+ 3. Women+ 4. 55 to 64 years 5. Men+ 6. Women+ 7. 65+ years 8. Men+ 9. Women+ 10. 85+ 11. Men+ 12. Women+ Housing indicators (13) 1. Total – Private Households by core housing need status 2. Households below one standard only...

This dataset includes one table which draws upon data from the 2016 Census of Canada for the Vancouver CMA. The table is a custom order and contains characteristics pertaining to senior's housing. The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Geography: Province of British Columbia, Vancouver CMA to the CT level Structural Type: -Single detached house -Apartment in a building with five or more stories -Other attached dwellings -Movable dwellings Family Characteristics of Seniors: -Seniors living alone -Seniors living in private households with two or more persons -Living in a couple (married or common-law) -Without a son or daughter present -With a son or daughter present -Not living as a couple, with a son or daughter present -Living with other relative or non-relatives only Tenure: -Owner (with and without mortgage) -Renter -Subsidized housing -Not subsidized housing Total Income: Median and average total income Age of Seniors: 5 year age cohorts starting at 65 and ending at 85 years and over Housing Indicators -Adequacy: Major repairs needed -Suitability: Not suitable -Affordability: 30% or more of household income is spent on shelter costs -Adequacy, suitability or affordability Original file name: CRO0175136_SX.1.ivt

Marine distribution of the piscivorous Common Murre following the end of the land-based nesting season on Triangle Island, one of the Scott Islands.

The General Social Survey - Family monitors changes in Canadian families. It collects information on conjugal and parental history (chronology of marriages, common-law unions and children), family origins, children’s home leaving, fertility intentions, and other socioeconomic characteristics. The information collected will impact program and policy areas such as parental benefits, child care strategies, child custody and spousal support programs. Statistical activity This record is part of the General Social Survey (GSS) program. The GSS originated in 1985. Each survey cycle contains a core topic, focus or exploratory questions and a standard set of socio-demographic questions used for classification. More recent cycles have also included some qualitative questions, which explore intentions and perceptions.

Access to these data files and dissemination of data retrieved from them is restricted to current faculty, staff or students employed by, or studying at UBC. Users must also abide by the DMTI License Agreement. This product is designed to be installed on a Windows based computer system. To install, download package.zip and your desired arcview package to a temporary directory. Uncompress package.zip using WinZip or a similar utility. Run TMSetup.exe to complete the installation. If you require Arcinfo data only, they are contained in separate chunks. A list of all the files in each section is contained in the the appropriate file lists (below). The Enhanced Points of Interest (EPOI) V1.4 file is a national database of nearly 1 million Canadian business and recreational points of interest. Engineered using CanMap Streetfiles, each EPOI has been accurately geocoded and precisely placed; two criteria that are fundamental to any successful location sensitive service. This location enriched point of interest database allows users to see and analyse selected point of interest data in a given geographic area, enabling applications such as wireless location-based services (LBS), Web, Telematics, planning, real estate multiple listing services (MLS), retail site analysis, competitive and market research, intelligent routing, sales territory analysis, business and tourism. Features This data set fully integrates across the CanMap suite of mapping data products, and includes: Standard industry classification code (SIC) Coordinate location (X, Y) Record name Address, city, province, postal code Telephone number Common Address Flag (CAF) allowing users to identify records with identical addresses Geocode and Attribute precision code Enhanced attribution applicable to individual points of interest i.e. Hospitals include information on number of beds available in that facility Records that contain enhanced attribution include: Aerodromes Border Crossings and Custom Offices Car Pool Lots Car Rental Agencies Education and Health Care Hotel Accommodations Golf Courses Police Stations Toll Booths Tourist Information Weigh Stations

sers must abide by the DMTI License Agreement. Canada's most comprehensive business and recreational point of interest data for market analysis and location based applications. The Enhanced Points of Interest (EPOI) file is a national database of over 1 million Canadian business and recreational points of interest. Engineered using CanMap Streetfiles, each EPOI has been accurately geocoded and precisely placed; two criteria that are fundamental to any successful location sensitive service. This location enriched point of interest database allows users to see and analyze selected point of interest data in a given geographic area, enabling applications such as wireless location-based services (LBS), Web, Telematics, planning, real estate multiple listing services (MLS), retail site analysis, competitive and market research, intelligent routing, sales territory analysis, business and tourism. Features Include: This data set fully integrates across the CanMap suite of mapping data products, and includes: Coordinate location (X, Y; Standard industry classification code (SIC); Business or recreational names address, city, province, postal code, telephone number; Common Address Flag (CAF) allowing users to identify records with identical addresses; Attribute precision codes. DMTI Spatial sourced points of interest include: Aerodromes, Border Crossings and Custom Offices, Building Names, Car Pool Lots, Gas Stations, Car Rental Agencies, Shopping Centres and Strip Malls, Education and Health Care, Financial Institutions, Fire Stations, Hotel Accommodations, Golf Courses, Police Stations, Retail Post Offices, Toll Booths, Tourist Information, Transit Stops, Weigh Stations, Cinemas, and Ski Centres.

The objectives of this survey were to provide reliable estimates of the nature and extent of violence against women by male partners, acquaintances and strangers and to examine women's fear of violence in order to support current and future federal government activities. This one-time-only survey examines the safety of women both inside and outside the home - perceptions of fear, sexual harassment, sexual violence, physical violence and threats by strangers, dates/boyfriends, other known men, husbands and common-law partners.

The Postal Codes by Federal Ridings File (PCFRF) provides a link between the six-character postal code and Canada's federal electoral districts. A federal electoral district (FED) is any place or territorial area entitled to return a Member of Parliament (MP) to serve in the House of Commons and is commonly referred to as a federal riding.

This one-time-only survey examines the safety of women both inside and outside the home - perceptions of fear, sexual harassment, sexual violence, physical violence and threats by strangers, dates/boyfriends, other known men, husbands and common-law partners.

The Laval TSE master file contains monthly data on common stocks traded on the Toronto Stock Exchange during part or all of the period from 1963 through 1987, excepting some stocks classified under mines (M) or oils (O). Data for each stock include monthly stock prices and returns, dividends, splits, rights, distributions of capital, ticker symbols, names, name changes and number of shares outstanding. Those stocks which have been excluded are M and O stocks that never reached the $5.00 price level. They would be included should they reach that level, and kept in the file whatever their future prices. All stocks classified as industrial are included in the file regardless of stock price level.The codebook for this dataset is available through the UBC Library catalogue, with call number HG5160.T6 L282.