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.

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.

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).

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).

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.

Complete database of BC Partners's mergers and acquisitions

The ETCBC database of the Hebrew Bible (formerly known as WIVU database), contains the scholarly text of the Hebrew Bible with linguistic markup. A previous version can be found in EASY (see the link below). The present dataset is an improvement in many ways:

(A) it contains a new version of the data, called ETCBC4. The content has been heavily updated, with new linguistic annotations and a better organisation of them, and lots of additions and corrections as well.

(B) the data format is now Linguistic Annotation Framework (see below). This contrasts with the previous version, which has been archived as a database dump in a specialised format: Emdros (see the link below).

(C) a new tool, LAF-Fabric is added to process the ETCBC4 version directly from its LAF representation. The picture on this page shows a few samples what can be done with it.

(D) extensive documentation is provided, including a description of all the computing steps involved in getting the data in LAF format.

Since 2012 there is an ISO standard for the stand-off markup of language resources, Linguistic Annotation Framework (LAF).

As a result of the SHEBANQ project (see link below), funded by CLARIN-NL and carried out by the ETCBC and DANS, we have a created a tool, LAF-Fabric, by which we can convert EMDROS databases of the ETCBC into LAF and then do data analytic work by means of e.g. IPython notebooks. This has been used for the Hebrew Bible, but it can also be applied to the Syriac text in the CALAP (see link below).

This dataset contains a folder laf with the laf files, and the necessary declarations are contained in the folder decl. Among these declarations are feature declaration documents, in TEI format (see link below), with hyperlinks to concept definitions in ISOcat (see link below). For completeness, the ISOcat definitions are repeated in the feature declaration documents. These definitions are terse, and they are more fully documented in the folder documentation.

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.

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.

• Entries for English-Spanish: Scientific research & mathematical sciences (906 entries), Geosciences (10,215), Computer science, electronics & telecommunications (70,580), Industry (47,578), Transport & Maintenance (12,291), Economy (145,572), Biological sciences (38,989), Communication & media (8,143), Chemical & physical sciences (27,467). * Entries for English-French-German-Spanish: Environment (36,658), Health (66,727), Agriculture & food (25,975), Construction & public works (8,429), Law & policy (56,578), Sports & Leisure (17,312) * Two specialized lexicons: Spanish-English and English-French-German without domain codes: electronics, telematics, law, taxes, customs, etc. (550,000 entries). * Two general lexicons: Spanish-English-French-German and Spanish-English-French-German-Portuguese-Italian (83,000 entries).This terminological database contains, for each domain, a sub-domain indication is given (from 2 sub-domains for Scientific research to 39 for Sports & leisure). Each entry consists of a definition, phraseological unit, abbreviation, usage information, grammatical labels. Format: ASCII

The TIMSS Advanced 2015 International Database is available to all individuals interested in the data collected and analyzed as part of TIMSS Advanced 2015. The aim is to support and promote the use of these data by researchers, analysts, and others interested in improving education. A public use version of the database is available for download using the links below. For the TIMSS Advanced 2015 assessment, the database includes student achievement data for two subjects, advanced mathematics and physics, as well as the student, teacher, school, and curricular background data for the 9 participating countries. The student, teacher, and school data files are in SAS and SPSS formats. The entire database and its supporting documents are described in the TIMSS Advanced 2015 User Guide for the International Database (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 Advanced 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.

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

PIRLS 2006 is the second in a cycle of internationally comparative reading assessments carried out every five years. Conducted at the fourth grade, this world-wide assessment and research project is designed to measure trends in children's reading literacy achievement and collect information about the policy and practices related to learning to read and reading instruction. For example, PIRLS 2006 will provide information on the impact of the home environment on reading achievement and how parents can foster reading literacy. It also will provide extensive information about curriculum and classroom approaches to reading instruction.

Participating countries include Austria, Belgium (Fl.), Belgium (Fr.), Bulgaria, Canada, Chinese Taipei, Denmark, England, France, Georgia, Germany, Hong Kong, Hungary, Iceland, Indonesia, Iran, Israel, Italy, Kuwait, Latvia, Lithuania, Luxembourg, Macedonia, Moldova, Morocco, Netherlands, New Zealand, Norway, Poland, Qatar, Romania, Russian Federation, Scotland, Singapore, Slovak Republic, Slovenia, South Africa, Spain, Sweden, Trinidad and Tobago, and the United States.

The PIRLS 2006 User Guide for the International Database is edited by Pierre Foy and Ann M. Kennedy.

TIMSS, the Trends in International Mathematics and Science Study, is designed to help countries all over the world improve student learning in mathematics and science. It collects educational achievement data at the fourth and eighth grades to provide information about trends in performance over time together with extensive background information to address concerns about the quantity, quality, and content of instruction.

TIMSS provides important information for policy development, to foster public accountability, to allow areas of progress or decline in achievement to be identified and monitored, and to address concerns for equity.

Nearly 50 countries from all over the world participated in TIMSS 2003. A project of the IEA, based in Amsterdam, TIMSS is directed by the TIMSS & PIRLS International Study Center at Boston College in collaboration with a worldwide network of organizations and representatives from the participating countries.

TIMSS 2003 data collection results were released December 14, 2004. The first round of TIMSS, which is conducted on a four-year cycle, was in 1995 and the second in 1999. The fourth round of TIMSS was conducted in 2007. Includes data files, datasets, and supporting documentation.

Participating countries include: Argentina; Armenia; Australia; Bahrain; Basque Country, Spain; Belgium (Flemish); Botswana; Bulgaria; Chile; Chinese Taipei; Cyprus; Egypt; England; Estonia; Ghana; Hong Kong, SAR; Hungary; Indiana State, United States; Indonesia; Iran, Islamic Republic of; Israel; Italy; Japan; Jordan; Korea, Republic of; Latvia; Lebanon; Lithuania; Macedonia, Republic of; Malaysia; Moldova; Morocco; Netherlands; New Zealand; Norway; Ontario Province, Canada; Palestinian National Authority; Philippines; Quebec Province, Canada; Romania; Russian Federation; Saudi Arabia; Scotland; Serbia; Singapore; Slovak Republic; Slovenia; South Africa; Sweden; Syrian Arab Republic; Tunisia; United States; Yemen, Republic of.

• Entries for English-Spanish: Scientific research & mathematical sciences (906 entries), Geosciences (10,215), Computer science, electronics & telecommunications (70,580), Industry (47,578), Transport & Maintenance (12,291), Economy (145,572), Biological sciences (38,989), Communication & media (8,143), Chemical & physical sciences (27,467).
• Entries for English-French-German-Spanish: Environment (36,658), Health (66,727), Agriculture & food (25,975), Construction & public works (8,429), Law & policy (56,578), Sports & Leisure (17,312)
• Two specialized lexicons: Spanish-English and English-French-German without domain codes: electronics, telematics, law, taxes, customs, etc. (550,000 entries).
• Two general lexicons: Spanish-English-French-German and Spanish-English-French-German-Portuguese-Italian (83,000 entries).

This terminological database contains, for each domain, a sub-domain indication is given (from 2 sub-domains for Scientific research to 39 for Sports & leisure). Each entry consists of a definition, phraseological unit, abbreviation, usage information, grammatical labels. Format: ASCII

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.

Dataset

This dataset was created by Alex Revelo Lopez

Released under CC0: Public Domain

Contents

This point location dataset of fish observations is a regularly updated compilation of BC fish distribution information taken from a combination of all the official provincial databases including the BC Fisheries Information Summary System (FISS). Fish occurrences in this dataset represent the most current and comprehensive information source on fish presence for the province.

Characteristics of the BC patients obtained from the GEO database.

ObjectiveOur previous study found that Achaete-scute complex homolog 1 (ASCL1) is involved in classifying BC subtypes with different prognostic and pathological characteristics. However, the biological role of ASCL1 in BC still remains largely unexplored. This study aims to elucidate the function of ASCL1 in BC using bioinformatics analyses, as well as in vitro and in vivo experimental approaches.MethodsData from the TCGA, GEO, and Human Protein Atlas databases were utilized to evaluate ASCL1 expression in BC and its association with patient prognosis. Genetic alterations in ASCL1 were assessed through the COSMIC and cBioPortal databases, while the TIMER2.0 database provided insights into the relationship between ASCL1 expression and key gene mutations in BC. The GDSC database was used to examine correlations between ASCL1 levels and sensitivity to standard chemotherapeutic agents. Associations between ASCL1 expression and cytokines, immunomodulatory factors, MHC molecules, and receptors were analyzed using Pearson and Spearman correlation methods. The TIP database was employed to investigate the connection between ASCL1 expression and immunoreactivity scores, and six computational approaches were applied to evaluate immune cell infiltration. Functional assays were conducted on BC cell lines MCF-7 and MDA-MB-231, and nude mouse models were used for in vivo studies.ResultsASCL1 was found to be upregulated in BC and correlated with unfavorable prognosis and mutations in key oncogenes. Its expression was linked to immunomodulatory factors, immune cell infiltration, and immunoreactivity scores in the tumor microenvironment. Additionally, ASCL1 influenced tumor immune dynamics and chemosensitivity in BC. Overexpression of ASCL1 enhanced BC cell proliferation, migration and invasion, while its knockdown had the opposite effect. Notably, inhibition of ASCL1 increased BC cell sensitivity to paclitaxel both in vitro and in vivo. In addition, inhibition of ASCL1 activated ferroptosis in BC, including altered mitochondrial morphology, increased MDA and ROS levels, decreased GSH levels and reduced GSH/GSSG ratio. Mechanistically, inhibition of ASCL1 decreases the phosphorylation of CREB1, thus reducing the expression of GPX4. In summary, inhibition of ASCL1 increases paclitaxel sensitivity by activating ferroptosis via the CREB1/GPX4 axis.ConclusionsASCL1 exerts oncogenic effects in BC and represents a potential therapeutic target for intervention.