Modal Service data and Safety & Security (S&S) public transit time series data delineated by transit/agency/mode/year/month. Includes all Full Reporters--transit agencies operating modes with more than 30 vehicles in maximum service--to the National Transit Database (NTD). This dataset will be updated monthly.

The monthly ridership data is released one month after the month in which the service is provided. Records with null monthly service data reflect late reporting.

The S&S statistics provided include both Major and Non-Major Events where applicable. Events occurring in the past three months are excluded from the corresponding monthly ridership rows in this dataset while they undergo validation. This dataset is the only NTD publication in which all Major and Non-Major S&S data are presented without any adjustment for historical continuity.

The dataset included with this article contains three files describing and defining the sample and variables for VAT impact, and Excel file 1 consists of all raw and filtered data for the variables for the panel data sample. Excel file 2 depicts time-series and cross-sectional data for nonfinancial firms listed on the Saudi market for the second and third quarters of 2019 and the third and fourth quarters of 2020. Excel file 3 presents the raw material of variables used in measuring the company's profitability of the panel data sample

Focuses on financial flows, trends in external debt, and other major financial indicators for developing and advanced economies (data from Quarterly External Debt Statistics and Quarterly Public Sector Debt databases). Includes over 200 time series indicators from 1970 to 2014, for most reporting countries, and pipeline data for scheduled debt service payments on existing commitments to 2027.

BASE YEAR	2024
HISTORICAL DATA	2019 - 2024
REPORT COVERAGE	Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
MARKET SIZE 2023	3.46(USD Billion)
MARKET SIZE 2024	3.91(USD Billion)
MARKET SIZE 2032	10.6(USD Billion)
SEGMENTS COVERED	Deployment Mode ,Database Type ,Use Case ,Company Size ,Industry Vertical ,Regional
COUNTRIES COVERED	North America, Europe, APAC, South America, MEA
KEY MARKET DYNAMICS	Cloud adoption Data volume growth Analytical workloads Realtime data processing Need for scalability
MARKET FORECAST UNITS	USD Billion
KEY COMPANIES PROFILED	Cloudera ,Basho Technologies ,Google ,IBM ,ArangoDB ,MongoDB ,PlanetScale ,Accurics ,DataStax ,AWS ,Oracle ,PostgreSQL ,Microsoft ,Redis ,Imply
MARKET FORECAST PERIOD	2025 - 2032
KEY MARKET OPPORTUNITIES	1 Adoption of Realtime Data Analytics 2 Growing Demand for Fraud Detection 3 Expansion of IoT and Smart Devices 4 Rise of Edge Computing 5 Increased Cloud Adoption
COMPOUND ANNUAL GROWTH RATE (CAGR)	13.26% (2025 - 2032)

The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

Since the first reported coronavirus case in Washington State on Jan. 21, 2020, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

Abstract copyright UK Data Service and data collection copyright owner.

The International Monetary Fund (IMF) Government Finance Statistics (GFS) database provides current and internationally comparable annual time series data on the finances and fiscal policies of IMF member governments from 1972 onwards. Topics covered include:

• deficit/surplus or total financing
• revenues or grants, expenditures
• lending minus repayments
• domestic financing
• foreign financing
• domestic debt or total debt, and foreign debt

This database was first provided by the UK Data Service in November 2004.

Main Topics:

Topics covered include:

• finance
• economics
• financing
• funding
• revenue
• public expenditure
• payments
• government spending
• financial management
• grants
• debts
• public debt
• national debt
• public finance
• fiscal policy
• financial policy
• taxation
• bonds
• educational expenditure
• defence expenditure
• social welfare expenditure
• educational finance
• health care costs
• local finance
• social welfare finance
• national economy
• agricultural economics
• exchange rates
• gross domestic product
• population

The Ocean Data Inventory database is an inventory of all of the oceanographic time series data held by the Ocean Science Division at the Bedford Institute of Oceanography. The data archive includes about 5800 current meter and acoustic doppler time series, 4500 coastal temperature time series from thermographs, as well as a small number (200) of tide gauges. Many of the current meters also have temperature and salinity sensors. The area for which there are data is roughly defined as the North Atlantic and Arctic from 30° - 82° N, although there are some minor amounts of data from other parts of the world. The time period is from 1960 to present. The database is updated on a regular basis.

Abstract copyright UK Data Service and data collection copyright owner.

UNESCO is a major collector and disseminator of statistical data on education and related subjects. Its statistical activities are aimed at providing relevant, reliable and current information for development and policy-making purposes, both at the national and international levels, and the production of reliable statistical indicators for education. These indicators cover four main areas: educational population; access and participation; the efficiency and effectiveness of education; human and financial resources.
The UNESCO Education Database covers a wide range of these areas, at four main educational levels: pre-primary, primary, secondary and tertiary, in accordance with the International Standard Classification of Education (ISCED) system. This system provides standard definitions for each of the four levels of education examined. UNESCO collects and collates education data according to these definitions from approximately 200 countries, and compiles them into the Education Database time series, which is published annually.

Main Topics:

Pre-primary' education is defined by UNESCO asthe initial stages of organised instruction', and precedes the first ISCED level of education (ISCED = International Standard Classification of Education). Pre-primary educational programmes do not include playgroups, day nurseries, creches, or child-care centres in this case. The age of entry to this level varies in different countries, and in areas within some countries. The upper age limit is usually dependent on the age of entry into primary education (the first ISCED level of education). Both public and private sector pre-primary education are covered, and topics include numbers of pupils, institutions, and teachers, definable by sector and gender.