The Significant Earthquake Database is a global listing of over 5,700 earthquakes from 2150 BC to the present. A significant earthquake is classified as one that meets at least one of the following criteria: caused deaths, caused moderate damage (approximately $1 million or more), magnitude 7.5 or greater, Modified Mercalli Intensity (MMI) X or greater, or the earthquake generated a tsunami. The database provides information on the date and time of occurrence, latitude and longitude, focal depth, magnitude, maximum MMI intensity, and socio-economic data such as the total number of casualties, injuries, houses destroyed, and houses damaged, and $ dollage damage estimates. References, political geography, and additional comments are also provided for each earthquake. If the earthquake was associated with a tsunami or volcanic eruption, it is flagged and linked to the related tsunami event or significant volcanic eruption.

For the TIMSS 2015 fourth grade assessment, the database includes student mathematics and science achievement data as well as the student, parent, teacher, school, and curricular background data for the 47 participating countries and 6 benchmarking entities. For the TIMSS 2015 eighth grade assessment, the database includes student mathematics and science achievement data as well as the student, teacher, school, and curricular background data for the 39 participating countries and 6 benchmarking entities. The TIMSS 2015 International Database also includes data from the TIMSS Numeracy 2015 assessment, with the participation of 7 countries and 1 benchmarking entity. The student, parent, teacher, and school data files are in SAS and SPSS formats. The entire database and its supporting documents are described in the TIMSS 2015 User Guide (Foy, 2017) and its three supplements. The data can be analyzed using the downloadable IEA IDB Analyzer (version 4.0), an application developed by the IEA Data Processing and Research Center to facilitate the analysis of the TIMSS data. A restricted use version of the TIMSS 2015 International Database is available to users who require access to variables removed from the public use version (see Chapter 4 of the User Guide). Users who require access to the restricted use version of the International Database to conduct their analyses should contact the IEA through its Study Data Repository.

Pollution monitoring data recorded in the B.C. Ministry of Environment Environmental Quality Information System (EQUIS). Data files include inventories of effluent releases, air emissions, and refuse discharges recorded from more than 15,000 locations throughout the Province of British Columbia between the mid-1960s to mid-1980s, in regulation with the B.C. Pollution Control Act, 1967. In 1971, the Province of British Columbia developed a purpose-built computer data storage and retrieval system, known as EQUIS, to manage information related to their permitting system regulating discharges of pollutants to land, air, and water, under the B.C. Pollution Control Act, 1967. Site data describing geographic and administrative information, including permit conditions, are recorded in relation to scientific test result data recording water quality, air quality, and taxonomic information. EQUIS was archived in 2002 and the data and metadata contained were exported into flat text files for long term preservation. This dataset presents these files, which are organized according to site data, test result data, and biological data. Related metadata include data documentation, code tables, and data dictionaries, which are necessary for interpreting data files and reconstructing EQUIS database outputs.

BC Parks data is available through the BC Parks API. The data contains information on provincial parks, conservation areas, and ecological reserves. This includes detailed descriptions of protected areas, available activities, amenities, park status, etc. BC Parks API is an open REST and GraphQL API web service providing access to a centralized compilation of current data related to provincial parks in B.C. The data are accessible via the BC Parks API are licensed under the Open Government License - BC. The API itself is licensed under the API Terms of Use (see related links, API Terms of Use). For more information, please see the BC Parks API console or GraphQL Playground.

The PIRLS 2016 International Database is available for individuals interested in the data collected and analyzed as part of PIRLS 2016. The aim is to support and promote the use of these data by researchers, analysts, and others interested in improving education. For the PIRLS 2016 assessment, the database includes student reading achievement data as well as the student, parent, teacher, school, and curricular background data for 50 countries and 11 benchmarking entities. The ePIRLS 2016 International Database includes data from the ePIRLS 2016 assessment, with the participation of 14 countries and 2 benchmarking entities. The student, parent, teacher, and school data files are in SAS and SPSS formats.

The entire database and its supporting documents are described in the PIRLS 2016 User Guide (Foy, 2018) and its three supplements. The data can be analyzed using the downloadable IEA IDB Analyzer (version 4.0), an application developed by IEA Hamburg to facilitate the analysis of the PIRLS data.

A public use version of the datasets is available for download using the links below. A restricted use version of the PIRLS 2016 International Database is available to users who require access to variables removed from the public use version (see Chapter 4 of the User Guide). Users who require access to the restricted use version of the International Database to conduct their analyses should contact the IEA (RandA@iea-hamburg.de).

WSIs were visualized using QuPath and anonymized with SlideMaster software. The quality of the histopathological slides was verified by pathologists, ensuring no artifacts were present due to tissue preparation or digitization. Pathologists manually annotated the images to differentiate between IDC, healthy tissue, and ductal carcinoma in situ (DCIS) using a color scheme (blue for IDC, green for healthy tissue, and red for DCIS). Annotations were initially made by one pathologist and then validated through a pairwise review with a second pathologist to ensure consistency and minimize inter-observer variability. Furthermore, regions of interest (ROIs) within these tissue types were identified and marked by yellow lines, for further HS imaging analysis.

Usage Notes

Data organization and naming conventions

The database is divided into three main components:

1. Clinical and demographic data (HistologyHSI-BC-Recurrence -Clinical-Standardized.xlsx)
2. WSIs and corresponding tissue and ROI annotations (01_01_Histological_Images, 01_02_Tissue_Annotations, and 01_03_HSI_ROI_Annotations)
3. HSI images (02_01_HSI_Images). The HSI data is stored in folders named according to the regular expression HSI_VNIR_{P}_{TT}_x10_C{CN}, where {P} represents the patient ID, {TT} indicates the tissue type (IDC, healthy, or DCIS), and {CN} is the capture number.

Working with HSIs

HSI data is typically stored in specialized formats like .hdr files paired with .dat or .raw files, representing a multidimensional data cube. Python and MATLAB are usually employed for processing these data. See the External Resources section below for example code. First, calibration is essential, followed by optional processing like spectral dimensionality reduction to reduce noise and computational costs (e.g., reducing 826 spectral bands to 275 by averaging neighboring bands). Normalization can also be performed when needed, scaling data to a range or adjusting to have a mean of 0 and standard deviation of 1. Additionally, removing the sample background, typically the white areas, is recommended for more accurate analysis.

Recommendations for software that can be used to open the data

Visualizing histopathology WSIs

The authors suggest using QuPath software to open and analyze WSIs (MRXS format) and annotations (GeoJSON format). WSIs can be loaded via drag and drop or through the "File/Open" option. Annotations for tissue compartments (IDC, healthy, DCIS) and ROIs (yellow rectangles for HS capture) should be imported as GeoJSON files.

The Global Historical Tsunami Database provides information on over 2,400 tsunamis from 2100 BC to the present in the the Atlantic, Indian, and Pacific Oceans; and the Mediterranean and Caribbean Seas. The database includes two related files. The first file includes information on the tsunami source such as the date, time, and location of the source event; cause and validity of the source, tsunami magnitude and intensity; maximum water height; the total number of fatalities, injuries, houses destroyed, and houses damaged; and total damage estimate (in U.S. dollars). The second related file contains information on the runups (the locations where tsunami waves were observed by eyewitnesses, reconnaissance surveys, tide gauges, and deep-ocean sensors) such as name, location, arrival time, maximum water height and inundation distance, and socio-economic data (deaths, injuries, damage) for the specific runup location.

The Significant Volcanic Eruptions Database is a global listing of over 600 eruptions from 4360 BC to the present. A significant eruption is classified as one that meets at least one of the following criteria: caused fatalities, caused moderate damage (approximately $1 million or more), Volcanic Explosivity Index (VEI) of 6 or greater, generated a tsunami, or was associated with a significant earthquake. The database provides information on the latitude, longitude, elevation, type of volcano, last known eruption, VEI index, and socio-economic data such as the total number of casualties, injuries, houses destroyed, and houses damaged, and $ dollage damage estimates. References, political geography, and additional comments are also provided for each eruption. If the eruption was associated with a tsunami or significant earthquake, it is flagged and linked to the related database. For a complete list of current and past activity for all volcanoes on the planet active during the last 10,000 years, please see Smithsonian Institution's Global Volcanism Program (GVP).

Searchable database of community watersheds in BC. Watersheds can be selected based on various parameters, and data can be viewed in browser or downloaded as a .csv file.

This multi-year dataset has been compiled to provide users with a single, compact source of reliable BC public library data. For better cross-year comparisons, we have used the current (2018) question wording and numbering for all included years. Retired questions are also included for historical comparisons. Blank columns indicate that the question was not used in that particular year. Blank rows indicate the library was not yet active in that calendar year. The full data is available in both XLSX and CSV format.

Contains information licensed under the Open Government Licence – British Columbia.

SOURCE - https://catalogue.data.gov.bc.ca/dataset/bc-public-libraries-statistics-2002-present

Complete database of BC Partners's mergers and acquisitions

Characteristics of the BC patients obtained from the GEO database.

.BC.CA Whois Database, discover comprehensive ownership details, registration dates, and more for .BC.CA TLD with Whois Data Center.

BC Data Catalogue The BC Data Catalogue is the place to find B.C. Government data, applications and web services. Government ministries and many broader public sector agencies publish their data resources in the Catalogue. The data in the catalogue can be used to make informed decisions and create opportunities for the benefit of all British Columbians. The BC Data Catalogue is powered by CKAN and follows the ISO19115 standards. The B.C. Government participates in this software project, sharing developments with a community of international users

The Gazetteer of British Columbia is a spreadsheet of all official place names, including feature type, feature code, mapsheet, and latitude & longitude. The Gazetteer is extracted from the BC Geographical Names Information System (BCGNIS), the master database of British Columbia place names. The BC Gazetteer is available as a zipped SHP file, CSV or XLSX. See also BC Geographical Names (https://catalogue.data.gov.bc.ca/dataset/43805524-4add-4474-ad53-1a985930f352) dataset for other formats and download options. Some software (including MS Excel) may assume the wrong encoding when the .csv file is opened, and this can cause names with special characters to be presented incorrectly. With whatever software you use to open the .csv file, it is recommended to open the file in a way that explicitly acknowledges the UTF-8 character encoding. Alternatively, the Gazetteer is also available in .xlsx format which is recommended for MS Excel users because it will automatically recognize the correct character encoding.

The Water Resources Atlas is an iMapBC application with enhanced query functionality to enable the display of detailed water related data, including watersheds, water quantity and quality monitoring sites, aquifers, water wells and flood protection works.

The Gazetteer of British Columbia is a spreadsheet of all official place names, including feature type, feature code, mapsheet, and latitude & longitude. The Gazetteer is extracted from the BC Geographical Names Information System (BCGNIS), the master database of British Columbia place names. The BC Gazetteer is available as a zipped SHP file, CSV or XLSX. See also BC Geographical Names (https://catalogue.data.gov.bc.ca/dataset/43805524-4add-4474-ad53-1a985930f352) dataset for other formats and download options. Some software (including MS Excel) may assume the wrong encoding when the .csv file is opened, and this can cause names with special characters to be presented incorrectly. With whatever software you use to open the .csv file, it is recommended to open the file in a way that explicitly acknowledges the UTF-8 character encoding. Alternatively, the Gazetteer is also available in .xlsx format which is recommended for MS Excel users because it will automatically recognize the correct character encoding.

Martin Monkman presented on the central statistical agency for the Province of British Columbia who is responsible for collecting, analyzing, and distributing statistical information on B.C.

This preliminary landslide database includes 11,135-point features with assigned landslide type, material (surficial, rock, anthropogenic) type, point location type (headscarp vs. deposit), and qualitative location confidence (low, moderate, high). Where known, volume estimate, the date of occurrence, trigger, contributing factor, and reference are provided. The inventory contains both landslide events (discrete recorded period of movement) and landslide features (slope with morphology consistent with past or ongoing movement). No characterization of the current level of activity or hazard is provided.

The landslides have mostly been identified using Google Earth and publicly available lidar. Previously published landslide databases have also been incorporated and referenced. Landslide type attribution should be considered preliminary. Version 10.1 includes the addition of approximately 431 landslide features over version 10.0.

Point location and attribute data are provided as .csv file which can be imported in GIS software and as .kmz file for visualization in Google Earth. The .kmz file of version 10.1 also reverts to the landslide type symbology used in version 9.0.

Summary statistics are provided in a separate spreadsheet.

Timeseries data from 'Stewart, B.C.' (noaa_nos_co_ops_8219894)