The data in this resource consist of biodiversity occurrence records drawn from the National Biodiversity Data Bank's database. The data was clipped using the Albertine Rift boundaries and mapped to Darwin Core terms by the NBDB's manager, Dr Herbert Tushabe.

Hazardous Substances Data Bank (HSDB) was a toxicology database that focused on the toxicology of potentially hazardous chemicals. It provided information on human exposure, industrial hygiene, emergency handling procedures, environmental fate, regulatory requirements, nanomaterials, and related areas. The information in HSDB has been assessed by a Scientific Review Panel. This version of HSDB data includes a subset of HSDB for downloading, but is no longer updated. HSDB data has been incorporated into PubChem.

The National DNA Data Bank (NDDB) is mandated by Parliament to produce an annual report. The NDDB is a centralized collection of hundreds of thousands of DNA profiles that helps investigators across the country solve a range of crimes.

The Protein Data Bank (PDB) archive is the single worldwide repository of information about the 3D structures of large biological molecules, including proteins and nucleic acids found in all organisms including bacteria, yeast, plants, flies, other animals, and humans.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree-ring (width) with a geographic location of Global. The time period coverage is from 7950 to -65 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

This is the dataset in the book: Albright, S. C., Winston, W. L., Zappe, C. J., & Broadie, M. N. (2011). Data analysis and decision making (Vol. 577). South-Western/Cengage Learning.The data was collected because the Fifth National Bank of Springfield is facing a gender discrimination suit. The data are based on a real case from the year 1995 except for the bank's name being changed. The problem being considered here is whether the data provide evidence that females will face discrimination in terms of salary.

A computerized data set of demographic, economic and social data for 227 countries of the world. Information presented includes population, health, nutrition, mortality, fertility, family planning and contraceptive use, literacy, housing, and economic activity data. Tabular data are broken down by such variables as age, sex, and urban/rural residence. Data are organized as a series of statistical tables identified by country and table number. Each record consists of the data values associated with a single row of a given table. There are 105 tables with data for 208 countries. The second file is a note file, containing text of notes associated with various tables. These notes provide information such as definitions of categories (i.e. urban/rural) and how various values were calculated. The IDB was created in the U.S. Census Bureau''s International Programs Center (IPC) to help IPC staff meet the needs of organizations that sponsor IPC research. The IDB provides quick access to specialized information, with emphasis on demographic measures, for individual countries or groups of countries. The IDB combines data from country sources (typically censuses and surveys) with IPC estimates and projections to provide information dating back as far as 1950 and as far ahead as 2050. Because the IDB is maintained as a research tool for IPC sponsor requirements, the amount of information available may vary by country. As funding and research activity permit, the IPC updates and expands the data base content. Types of data include: * Population by age and sex * Vital rates, infant mortality, and life tables * Fertility and child survivorship * Migration * Marital status * Family planning Data characteristics: * Temporal: Selected years, 1950present, projected demographic data to 2050. * Spatial: 227 countries and areas. * Resolution: National population, selected data by urban/rural * residence, selected data by age and sex. Sources of data include: * U.S. Census Bureau * International projects (e.g., the Demographic and Health Survey) * United Nations agencies Links: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/08490

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Other Collections. The data include parameters of database with a geographic location of . The time period coverage is from Unavailable begin date to Unavailable end date in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

National Bank of Greece reported EUR77.59B in Assets for its fiscal quarter ending in June of 2025. Data for National Bank of Greece | ETE - Assets including historical, tables and charts were last updated by Trading Economics this last September in 2025.

GENE-TOX provided genetic toxicology (mutagenicity) test data from expert peer review of open scientific literature for more than 3,000 chemicals from the United States Environmental Protection Agency (EPA) covering the years 1991 - 1998. GENE-TOX is no longer updated.

This collection is a legacy product that is no longer supported. It may not meet current Government standards. The National Topographic Data Base (NTDB) comprises digital vector data sets that cover the entire Canadian landmass. The NTDB includes features such as watercourses, urban areas, railways, roads, vegetation, and relief. The organizational unit for the NTDB is the National Topographic System (NTS), based on the North American Datum of 1983 (NAD83). Each file (data set) consists of one NTS unit at either the 1:50,000 or 1:250,000 scale. Related Products: NTDB Correction Matrices, 2003-2009

The National DNA Data Bank (NDDB) is mandated by Parliament to produce an annual report. The NDDB is a centralized collection of hundreds of thousands of DNA profiles that helps investigators across the country solve a range of crimes.

Comparison of Age Group Distribution of Physicians With Sexual-Misconduct–Related Reports during the Study Period With the U.S. General Physician Population (Physician-Level Analysis).

The National Road Data Bank is a database of information on national and county roads, municipal roads, private roads and forest roads. The database is actively used in the Norwegian Road Administration, and contains, among other things, the following information: Overview of equipment and drainage along the road Accidents and traffic volumes Basic data for use in noise calculation and traffic modelling The API is based on REST, and can be used to retrieve most basic data in the National Road Data Bank (NVDB). The data is delivered in XML or JSON format. Examples of content in NVDB: Signs, culverts, lighting points, cubes, railings, landslides, rest areas, tunnels, ferry docks, traffic accidents. Today, more than 16 million objects can be retrieved, divided into over 250 object types. All object types in NVDB are described through a separate data directory. Note that it is the object types ID, and not the name of the object types, that is used for queries against the API. The topological road network cannot be retrieved through the API at this time. Most data are related to European, national and county roads. A few object types are registered on the other road network, including speed limit. All object types have a coordinate, for viewing on maps. The information is also available in Roadmap, the Norwegian Public Roads Administration’s map application for presenting data from NVDB. For news about NVDB, follow us at twitter.com/NVDBapi . For news, operational reports and tips on all data from the Norwegian Public Roads Administration, follow us at twitter.com/VegvesenData .

OR: Odds Ratio; 95% CI: 95% Confidence Interval¶The payment amount was ln transformed to provide a better fit for the data1Based on a logistic regression model including age, sex, income, payer, CCI, race, hospital region, hospital location, hospital bedsize, density of neurosurgeons as covariates2Based on a generalized linear model including age, sex, income, payer, CCI, race, hospital region, hospital location, hospital bedsize, density of neurosurgeons as covariates3Based on a generalized linear model including age, sex, income, payer, CCI, race, hospital region, hospital location, hospital bedsize, density of neurosurgeons as covariates. Hospitalization charges underwent an ln transformation because this provided the best fit for our data§The point estimates from these linear regressions represent beta coefficients and not odds ratiosRegression models for primary outcomes and variables of interest in the 3 most common procedure subgroups.

Graph and download economic data for National Bank Notes Outstanding, Total for United States (M1424AUSM144NNBR) from Jan 1864 to Dec 1879 about notes, banks, depository institutions, and USA.

This dataset contains information about Africa's Infrastructure National Data for 1990-2008.Data from The World Bank.Notes:The Africa Infrastructure Country Diagnostic (AICD) has data collection and analysis on the status of the main network infrastructures. The AICD database provides cross-country data on network infrastructure for nine major sectors: air transport, information and communication technologies, irrigation, ports, power, railways, roads, water and sanitation. The indicators are defined as to cover key areas for policy making: affordability, access, pricing as well as institutional, fiscal and financial aspects. The analysis encompasses public expenditure trends, future investment needs and sector performance reviews. It offers users the opportunity to view AICD results, download documents and materials, search databases and perform customized analysis.

Abstract

The World Bank Enterprise Survey (WBES) is a firm-level survey of a representative sample of an economy's private sector. The surveys cover a broad range of topics related to the business environment including access to finance, corruption, infrastructure, competition, and performance.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

All formal (i.e., registered) private sector businesses (with at least 1% private ownership) and with at least five employees. In terms of sectoral criteria, all manufacturing businesses (ISIC Rev 4. codes 10-33) are eligible; for services businesses, those corresponding to the ISIC Rev 4 codes 41-43, 45-47, 49-53, 55-56, 58, 61-62, 69-75, 79, and 95 are included in the Enterprise Surveys. Cooperatives and collectives are excluded from the Enterprise Surveys. All eligible establishments must be registered with the National Court Registry (Krajowy Rejestr Sądowy – KRS). The universe table is the total number of eligible establishments, and the table is partitioned by the stratification groups (industry classification, establishment size, and subnational region) in a country.

Note: The universe table can be found in Table 1 of "The Poland 2024 World Bank Enterprise Survey Implementation Report."

Kind of data

Sample survey data [ssd]

Sampling procedure

The WBES use stratified random sampling, where the population of establishments is first separated into non-overlapping groups, called strata, and then respondents are selected through simple random sampling from each stratum. The detailed methodology is provided in the Sampling Note (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Sampling_Note-Consolidated-2-16-22.pdf). Stratified random sampling has several advantages over simple random sampling. In particular, it:

• produces unbiased estimates of the whole population or universe of inference, as well as at the levels of stratification
• ensures representativeness by including observations in all of those categories
• produces more precise estimates for a given sample size or budget allocation, and
• may reduce implementation costs by splitting the population into convenient subdivisions.

The WBES typically use three levels of stratification: industry classification, establishment size, and subnational region (used in combination). Starting in 2022, the WBES bases the industry classification on ISIC Rev. 4 (with earlier surveys using ISIC Rev. 3.1). For regional coverage within a country, the WBES has national coverage.

Note: For detailed sampling methodology, refer to the Sampling Structure section in "The Poland 2024 World Bank Enterprise Survey Implementation Report."

Mode of data collection

Face-to-face [f2f]

Research instrument

The standard WBES questionnaire covers several topics regarding the business environment and business performance. These topics include general firm characteristics, infrastructure, sales and supplies, trade, management practices, competition, innovation, capacity, land and permits, finance, business-government relations, exposure to bribery, labor, and performance. Information about the general structure of the questionnaire is available in the Enterprise Surveys Manual and Guide (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Enterprise-Surveys-Manual-and-Guide.pdf).

Response rate

Overall survey response rate was 20.6%.

This data set contains small-scale base GIS data layers compiled by the National Park Service Servicewide Inventory and Monitoring Program and Water Resources Division for use in a Baseline Water Quality Data Inventory and Analysis Report that was prepared for the park. The report presents the results of surface water quality data retrievals for the park from six of the United States Environmental Protection Agency's (EPA) national databases: (1) Storage and Retrieval (STORET) water quality database management system; (2) River Reach File (RF3) Hydrography; (3) Industrial Facilities Discharges; (4) Drinking Water Supplies; (5) Water Gages; and (6) Water Impoundments. The small-scale GIS data layers were used to prepare the maps included in the report that depict the locations of water quality monitoring stations, industrial discharges, drinking intakes, water gages, and water impoundments. The data layers included in the maps (and this dataset) vary depending on availability, but generally include roads, hydrography, political boundaries, USGS 7.5' minute quadrangle outlines, hydrologic units, trails, and others as appropriate. The scales of each layer vary depending on data source but are generally 1:100,000.

Holdings of Securities: Bonds: Central Government Bonds and Treasury Notes (CT) data was reported at 793,795.000 DKK mn in Sep 2018. This records an increase from the previous number of 790,292.000 DKK mn for Aug 2018. Holdings of Securities: Bonds: Central Government Bonds and Treasury Notes (CT) data is updated monthly, averaging 660,189.000 DKK mn from Dec 1999 (Median) to Sep 2018, with 226 observations. The data reached an all-time high of 871,389.000 DKK mn in Mar 2015 and a record low of 415,533.000 DKK mn in Aug 2008. Holdings of Securities: Bonds: Central Government Bonds and Treasury Notes (CT) data remains active status in CEIC and is reported by Danmarks Nationalbank. The data is categorized under Global Database’s Denmark – Table DK.Z004: Denmark National Bank: Holdings of Securities.