Facebook
TwitterThe Employer Database System is a database of all Oregon employers and their history of workers’ compensation (WC) insurance coverage. The system produces a snapshot of current employers with active workers’ compensation insurance policies.
The most current data are updated monthly during the first week of the month.
Facebook
Twitterhttps://catalogue.elra.info/static/from_media/metashare/licences/ELRA_END_USER.pdfhttps://catalogue.elra.info/static/from_media/metashare/licences/ELRA_END_USER.pdf
https://catalogue.elra.info/static/from_media/metashare/licences/ELRA_VAR.pdfhttps://catalogue.elra.info/static/from_media/metashare/licences/ELRA_VAR.pdf
This bilingual terminology database produced by Kaist Korterm consists of 76 272 entries in Korean and in English in the field of computer science.
Facebook
TwitterThe Texas Department of Insurance, Division of Workers’ Compensation (DWC) publishes a quarterly report of employers with active Texas workers’ compensation insurance coverage. Employers with coverage are called “subscribers.” Texas does not require most private employers to have workers' compensation insurance coverage.
Insurance carriers report coverage data to DWC using the International Association of Industrial Accident Boards and Commissions’ (IAIABC) IAIABC Proof of Coverage (POC) Release 2.1 electronic data interchange (EDI) standard. The National Council on Workers’ Compensation Insurance (NCCI) collects the POC data for DWC. POC filings are the source of this data set.
Visit the DWC Employer Coverage Page for more information.
Facebook
TwitterDatabase of federally funded research projects pertaining to dietary supplements. CARDS contains projects funded by the United States Department of Agriculture (USDA), the Department of Defense (DOD) and the Institutes and Centers (ICs) of the National Institutes of Health (NIH) beginning with fiscal year 1999, the first year that NIH ICs began reporting research related to dietary supplements. Projects funded by other Federal agencies will be added to CARDS as they become available. The Office of Dietary Supplements (ODS) will post notices on its website and listserv when CARDS updates are completed. Codes assigned to each research project allow the CARDS user to identify: * research related to specific dietary supplement ingredients; for example, vitamin E or St. John''''s wort * the type of study; for example, a Phase III study or an animal study * health outcomes or biological effects; for example, osteoporosis or antioxidant function * whether the research is directly related or indirectly related to dietary supplements. For example, a clinical trial comparing bone density in women given a daily calcium supplement versus a placebo would be classified as directly related to dietary supplements. A study examining the activation of steroid hormone receptors by supplemental vitamin D in cell culture would be classified as indirectly related to dietary supplements because the direct physiological or health effects of vitamin D supplementation are not being studied. A search of the CARDS database can be used to sort and tabulate information for a variety of purposes. For example, a researcher may want to know which ICs at the NIH fund research on herbal supplement ingredients. A consumer may want to know if the Federal government is supporting research on a popular dietary supplement ingredient such as vitamin C.
Facebook
TwitterThis dataset is comprised of a collection of example DMPs from a wide array of fields; obtained from a number of different sources outlined below. Data included/extracted from the examples include the discipline and field of study, author, institutional affiliation and funding information, location, date created, title, research and data-type, description of project, link to the DMP, and where possible external links to related publications or grant pages. This CSV document serves as the content for a McMaster Data Management Plan (DMP) Database as part of the Research Data Management (RDM) Services website, located at https://u.mcmaster.ca/dmps. Other universities and organizations are encouraged to link to the DMP Database or use this dataset as the content for their own DMP Database. This dataset will be updated regularly to include new additions and will be versioned as such. We are gathering submissions at https://u.mcmaster.ca/submit-a-dmp to continue to expand the collection.
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The Global Work-Injury Policy Database (GWIP) provides data on the introduction and development of work-injury policy in 186 independent nation states. As of version 2, the database includes generosity and inclusivity scores for all countries in the year 2020. These scores are harmonized to match with the Social Insurance Entitlements Dataset (SIED). The GWIP_long provides longitudinal data on 188 countries and the coverage and replacement rates or work-injury policy since the Industrial Revolution. Work-injury policies were historically known as “workmen’s compensation”, "workman's compensation" and sometimes “accident insurance” among policymakers and scholars. The data include year of introduction of first laws, the types of laws, coverage of blue-collar workers and steps on the path to social insurance laws.
Facebook
Twitterhttps://catalog.elra.info/static/from_media/metashare/licences/ELRA_VAR.pdfhttps://catalog.elra.info/static/from_media/metashare/licences/ELRA_VAR.pdf
https://catalog.elra.info/static/from_media/metashare/licences/ELRA_END_USER.pdfhttps://catalog.elra.info/static/from_media/metashare/licences/ELRA_END_USER.pdf
The English-Persian terminology database of computer and IT consists of around 25,000 terms in the field of computer engineering, computer sciences and information technology. It comes with a software through which the users can search a word, phrase or chunk in one language and receive all entries consisting of the given query in both languages (English and Persian) with the statistics related to the searched query. The results may be saved in different formats and may be printed too.The main database of the software is presented in Access format and the software itself is executable on Windows systems.
Facebook
TwitterTHIS RESOURCE IS NO LONGER IN SERVICE. A computer generated high quality dataset of human transcript-confirmed constitutive and alternative exons and introns. The alternative events have been delineated and annotated with various characterizations. AltExtron is the prototype database for the production version AltSplice. AltExtron is more geared towards investigating various aspects of the methodologies used, and focuses in general on the biology behind alternative splicing. The complete data used in this work is available for downloading in several flat files, containing human genes, introns, exons, isoform events, human-mouse comparisons, and additional information on GC-AG introns. Two versions of AltExtron data are available - one as prototype (for human) and another as latest build (for human, drosophila, mouse, and others) based on EMBL/GenBank (Feb 2003).
Facebook
TwitterThe Northwest Fisheries Science Center's (NWFSC) Salmon Population Summary (SPS) database provides public access to demographic data compiled for ESA-listed salmonid populations as part of the NWFSC's technical recovery planning efforts. The database contains data collected by co-managers (WDFW, ODFW, IDFG, and Tribes) and compiled in cooperation with NWFSC staff for: spawning abundance, age structure of wild spawners, fraction of natural spawners that are of wild origin, and the reduction in spawning abundance due to harvest. For some populations, additional data fields are also available. The data correspond to the populations identified by the NMFS Technical Recovery Teams, and are used in part to assess population and ESU-level recovery criteria for many listed ESUs. Most importantly, this data is critical for informing 5 year ESA salmon reviews, and makes 5 year status review data available to the public. Abundance of ESA-listed salmonids.
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Data on individual compensation by nonprofit organizations as submitted on e-filed Form 990 and released publicly by the IRS
Facebook
TwitterThe New York City Controller's Office maintains a database of the salary and benefits paid to city employees since the fiscal year 2013. This is data representing the Employee Compensation report.
Year Type: Fiscal (July through June) or Calendar (January through December)
Year: An accounting period of 12 months. The New York City operates operates on a fiscal year that begins on July 1 and ends on June 30 the following year. The Fiscal Year ending June 30, 2012 is represented as FY2011-2012.
Employee Identifier: Each distinct number in the “Employee Identifier” column represents one employee. These identifying numbers are not meaningful but rather are randomly assigned for the purpose of building this dataset.
Salaries: Normal salaries paid to permanent or temporary City employees.
Overtime: Amounts paid to City employees working in excess of 40 hours per week.
Other Salaries: Various irregular payments made to City employees including premium pay, incentive pay, or other one-time payments.
Total Salary: The sum of all salaries paid to City employees.
Retirement: City contributions to employee retirement plans.
Health/Dental: City-paid premiums to health and dental insurance plans covering City employees. To protect confidentiality as legally required, pro-rated citywide averages are presented in lieu of employee-specific health and dental benefits.
Other Benefits: Mandatory benefits paid on behalf of employees, such as Social Security (FICA and Medicare) contributions, unemployment insurance premiums, and minor discretionary benefits not included in the above categories.
Total Benefits: The sum of all benefits paid to City employees.
Total Compensation: The sum of all salaries and benefits paid to City employees.
Facebook
TwitterThe CPU DB, a complete database of processors for researchers and hobbyists alike.
You can browse the processor database by manufacturer, processor family, code name, or microarchitecture.
History For years Stanford University's VLSI Research Group collected and maintained a unique spreadsheet of commercial microprocessor characteristics. Over the years these data points were useful in a variety of research talks and publications. Unfortunately, the lack of a central repository for this database made it difficult to both share the data with everyone, and enhance it with outside contributions... until now. Welcome to CPUDB.
What's the big deal? There are certainly a number of existing useful online resources for microprocessor information. To name a few,
CPUDB seeks to unify all of this information in a research-friendly, community-reviewed database. Additionally, it contains process technology information for each microprocessor, allowing for technology normalization across designs.
Contributing As with any large set of data, there are a number of holes (and possibly a few erroneous entries). We encourage anyone to contribute modifications to the database, or even to suggest new data fields they would find useful.
Citations Database Authors This site was created by the following people.
Andrew Danowitz
Kyle Kelley
James Mao
John P. Stevenson
Mark Horowitz
Omid Azizi
John S. Brunhaver II
Ron Ho
Stephen Richardson
Ofer Shacham
Alex Solomatnikov
Database Acknowledgments A special thanks to the following contributors:
Chris Batten
Ron Ho
Francois Labonte
Craig Teegarden
Source & License: http://cpudb.stanford.edu
Facebook
TwitterThe WHO Mortality Database is a compilation of mortality data as reported annually by Member States from their civil registration and vital statistics systems.
Basic underlying raw data files, together with the necessary instructions, file structures, code reference tables, etc. These data can be used by institutions and organizations which need access at this level of detail, mainly for research purposes, AND have the required information technology (IT) resources to use this information.
These files do not constitute a user-friendly data collection which the average user can download and access. These are the basic underlying raw data files, together with the necessary instructions, file structures, code reference tables, etc. which can be used by institutions and organizations which need access at this level of detail mainly for research purposes and have available the required information technology (IT) resources to use this information. These files will not open in programs like Excel; please refer to the "Documentation.zip" file hereafter for more information on systems requirements.
It should be noted that these data are transmitted on the understanding that no use will be made of them for commercial purposes and that no such permission or right to use may be implied thereby. WHO requests data users to adhere to the guidelines outlined on the next page.
Foto de Mads Schmidt Rasmussen en Unsplash
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The Puerto Rico Long-Term Coral Reef Monitoring Program (PRCRMP) database compilation includes raw biological data (by transect) from reef locations around the Puerto Rican archipelago. Substrate cover by sessile-benthic categories and fish, and motile megabenthic invertebrate taxonomic composition and densities have been characterized in these stations, with variable sampling event frequencies between 1999 to 2021. At present, 42 permanent stations are surveyed biannually (21 per year). For the benthic characterization, a set of five 10-meter-long permanent transects are surveyed at each station. Sessile-benthic reef communities are characterized by the continuous intercept chain-link method, following the Caribbean Coastal Marine Productivity (CARICOMP) (1994) protocol. Demersal diurnal non-cryptic reef fish populations and motile megabenthic invertebrates are surveyed by sets of five 10 x 3 meters wide (30 m2) belt-transects centered along the reference line of transects used for sessile-benthic characterizations at each reef station. From 2004-2013, a diver completed an Active Search Census (ASEC) survey for 30 minutes annotating sizes and abundances of fish and macroinvertebrate species of interest. From 2015, the ASEC survey methodology was replaced by 20 x 3 meters (60 m2) band transects to identify commercially and ecologically important fish and megabenthic invertebrate species. Upon completion of the 10 meters belt-transect survey, the diver swims along the same depth and physiographic reef zone for an extra 10 meters to complete the 60 m2 transect. For each fish individual within the ASEC survey (2004-2013) and 60m2 band transects (2015-2021), a visual fork length (FL) estimate in centimeters is recorded. Fish length estimations are provided by the median of 5cm interval size classes. The cephalothorax length (measurement from the tip of the rostrum to end of the thorax), also known as carapace length (CL) in centimeters is used to report the size of lobsters (Panulirus spp., Scyllarides spp.) within belt-transects. Queen conch (Lobatus gigas) length is reported as the total (diagonal) shell length in centimeters. With the length-weight relationship information available in FishBase.org, biomass estimates are calculated for a subset of commercially and ecologically important fish species. The PRCRMP database was made possible with support from the National Oceanic and Atmospheric Administrations Coral Reef Conservation Program.
Facebook
TwitterComprehensive database of mergers and acquisitions in the Computer industry
Facebook
TwitterFlexible pricing available to meet all your business needs. Available for transactional orders or full licensing.
Data Fields Include: -Business Owner/Contact -Employee Size -Email -Ethnic Group of Contact Person -Executives by Title -Fax Number -Gender of Contact Person -Headquarters/Branches -Home Based Businesses -Minority Owner Businesses -NAICS code -Professional Specialties -Sales Volume -SIC code -Small Business Owners -Square Footage -Telephone Numbers -UCC Indicator -Website Address -Year Established
Facebook
TwitterIn this database, we compile and host several available onshore and offshore geologic, paleoseismic, geophysical, and instrumental datasets along the Cascadia subduction zone. The ScienceBase data release and downloadable map package is accompanied by an ArcGIS online map and StoryMap.
Facebook
TwitterDatabase survey. Visit https://dataone.org/datasets/sha256%3Ac123c47552f18a3889402bcbb67b97839d82605e35b9f70b2e07da65b8dcc3e9 for complete metadata about this dataset.
Facebook
Twitterhttps://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy
Discover the booming vector database market! This comprehensive analysis reveals key trends, applications (NLP, Computer Vision, Recommender Systems), leading companies, and regional growth forecasts (2025-2033). Learn about the impact of open-source vs. commercial solutions and unlock opportunities in this rapidly expanding sector.
Facebook
Twitterhttps://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms
We collected data on almost the complete population of the merger control decisions by the Directorate-General Competition’s (DG COMP) of the European Commission. We started the data collection with the first year of common European merger control, 1990, and included all years up to 2014. This amounts to 25 years of data on European merger control. With regard to the scope of the decisions, we collected data in all cases where a legal decision document exists. This includes all cases settled in the first phase of an investigation (Art. 6(1)(a), 6(1)(b), 6(1)(c) and 6(2)) and all cases decided in the second phase of an investigation (Art. 8(1), 8(2), and 8(3)). Note that this also includes all cases settled under a ‘simplified procedure’, provided that a legal decision document exists. Furthermore, we also intended to collect data on cases that were either referred back to member states by DG COMP or aborted by the merging parties. While we have collected some data on such cases, data on these cases is not always available. Therefore, we cannot guarantee that the final dataset covers all of these cases. The level of observation is not a particular merger case but a particular product/geographic market combination concerned by a merger. In total, the final dataset contains 5,196 DG COMP merger decisions. For each of this decision, we record a number of observations equal to the number of product/geographic markets identified in the specific transaction. Hence, the total dataset contains 31,451 observations.
Facebook
TwitterThe Employer Database System is a database of all Oregon employers and their history of workers’ compensation (WC) insurance coverage. The system produces a snapshot of current employers with active workers’ compensation insurance policies.
The most current data are updated monthly during the first week of the month.