A complete list of live websites using the Microsoft ASP.NET MVC technology, compiled through global website indexing conducted by WebTechSurvey.

Graph and download economic data for Producer Price Index by Industry: Data Processing, Hosting and Related Services: Hosting, Active Server Pages (ASP), and Other Information Technology (IT) Infrastructure Provisioning Services (PCU5182105182105) from Dec 2006 to Jun 2025 about information technology, infrastructure, processed, services, PPI, industry, inflation, price index, indexes, price, and USA.

United States - Producer Price Index by Industry: Data Processing, Hosting and Related Services: Hosting, Active Server Pages (ASP), and Other Information Technology (IT) Infrastructure Provisioning Services was 122.32600 Index Dec 2006=100 in June of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Data Processing, Hosting and Related Services: Hosting, Active Server Pages (ASP), and Other Information Technology (IT) Infrastructure Provisioning Services reached a record high of 122.32600 in June of 2025 and a record low of 99.30000 in February of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Data Processing, Hosting and Related Services: Hosting, Active Server Pages (ASP), and Other Information Technology (IT) Infrastructure Provisioning Services - last updated from the United States Federal Reserve on August of 2025.

This Huggingface dataset hosts the Allocentric Scene Perception benchmark (ASP). We have three different versions of the benchmark:

ASP_FixedSun ASP_RandomSunPerScene ASP_RandomSunPerSnapshot which are distinguished by the position of the sun. ASP_FixedSun will have the sun fixed at (0,0,10), while ASP_RandomSunPerScene and ASP_RandomSunPerSnapshot have random sun positions for each scene and snapshot respectively.

Each file consists of 6000 scenes, with randomly arranged objects (10% of… See the full description on the dataset page: https://huggingface.co/datasets/CYHSM/asp.

Node.js overtook React.js to become the most used web framework among software developers worldwide, as of 2024. According to the survey, 40.8 percent of respondents reported to be using Node.js, while around 39.5 percent were using React.js. Web framework A web framework, or what may sometimes be referred to as a web application framework is a software framework that supports the overall software development of web applications. Web frameworks are utilized to automate menial activities typically performed within web development. In other words, it simplifies the web development process and, therefore, makes it easier to build a website. JavaScript As aforementioned, before being overtaken by React.js, jQuery had been the most used web framework out of the millions of software developers throughout the world. Simply put, jQuery is a cross-platform JavaScript library, that simplifies the usage of JavaScript on websites. While jQuery may be losing popularity, JavaScript still remains one of the most popular programming languages used by software developers worldwide. Throughout the world, programming languages are associated with different salaries. JavaScript programmers are associated with a global salary of 65,580 U.S. dollars, while the salary associated with JavaScript programmers in the United States is significantly more, at 112,000 U.S. dollars.

This dataset provides information about the number of properties, residents, and average property values for Asp Road cross streets in Manistique, MI.

Aspect was produced from the IA DEM using ESRI's Aspect tool. Method option in the tool was ‘PLANAR'. The aspect defines downslope direction. Non-defined aspect (slope is less than or =2) are assigned a value of -1. Aspect values range from 0.0 to 359.0 degrees Focal Statistics were used on the Percent Rise Slope using a 9x9 window and a median statistics value. the file was then used to rectify over the Aspect file (in house script was used).

About

French local statistics.

Data

No bulk download. Available in zipped XLS. Material can be access by theme or by source:

• http://www.statistiques-locales.insee.fr/esl/baseTelechTheme.asp
• http://www.statistiques-locales.insee.fr/esl/baseTelechSource.asp

Openness

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The publications and data made available on the current site may be viewed and consulted free of charge; they may be reused, including for commercial purposes, without a license and without payment of royalties, subject only to the following reserves: the user must respect the integrity of the information and data, and mention the source specifically.

Boundaries of Alaska State Parks, including all park units managed by the Division of Parks and Outdoor Recreation (DPOR). These boundaries were compiled from the statutes and management agreements which determine management by DPOR as well as state land ownership data. These boundaries include all land which is available for public recreation in each park, and which is managed by DPOR. These boundaries may differ from the outer statutory boundaries due to the inclusion of non-state land within the outer statutory boundary or the acquisition of new state land adjacent to an existing park.

About the Digest of Education StatisticsThe 2022 edition of the Digest of Education Statistics is the 58th in a series of publications initiated in 1962. The Digest has been issued annually except for combined editions for the years 1977–78, 1983–84, and 1985–86. Its primary purpose is to provide a compilation of statistical information covering the broad field of American education from prekindergarten through graduate school. The Digest includes a selection of data from many sources, both government and private, and draws especially on the results of surveys and activities carried out by the National Center for Education Statistics (NCES). To qualify for inclusion in the Digest, material must be nationwide in scope and of current interest and value. The publication contains information on a variety of subjects in the field of education statistics, including the number of schools and colleges, teachers, enrollments, and graduates, in addition to data on educational attainment, finances, federal funds for education, libraries, and international comparisons. Supplemental information on population trends, attitudes on education, education characteristics of the labor force, government finances, and economic trends provides background for evaluating education data. The Digest contains important information on federal education funding, though more detailed information on federal activities is available from federal education program offices.The Digest contains tables organized into seven chapters: All Levels of Education, Elementary and Secondary Education, Postsecondary Education, Federal Funds for Education and Related Activities, Outcomes of Education, International Comparisons of Education, and Libraries and Use of Technology. Each chapter is divided into a number of topical subsections.About this DatasetThis dataset represents the tables from the Most Current Digest Tables page: https://nces.ed.gov/programs/digest/current_tables.asp, as downloaded 2025-07-13.The folder system has three levels. Level 1 is the chapters of the data digest. Level 2 is the subsections of the chapters. Level 3 is a folder each for each table. Each table folder contains an excel file for the table.The top level folder contains a catalog csv with a cross walk between the folder name and the original table titles.There is also a folder for Machine Readable tables downloaded from this page in the top level folder: https://nces.ed.gov/programs/digest/mrt_tables.asp.

This dataset contains data from the National Center for Education Statistics' Academic Library Survey, which was gathered every two years from 1996 - 2014, and annually in IPEDS starting in 2014 (this dataset has continued to only merge data every two years, following the original schedule). This data was merged, transformed, and used for research by Starr Hoffman and Samantha Godbey.This data was merged using R; R scripts for this merge can be made available upon request. Some variables changed names or definitions during this time; a view of these variables over time is provided in the related Figshare Project. Carnegie Classification changed several times during this period; all Carnegie classifications were crosswalked to the 2000 classification version; that information is also provided in the related Figshare Project. This data was used for research published in several articles, conference papers, and posters starting in 2018 (some of this research used an older version of the dataset which was deposited in the University of Nevada, Las Vegas's repository).SourcesAll data sources were downloaded from the National Center for Education Statistics website https://nces.ed.gov/. Individual datasets and years accessed are listed below.[dataset] U.S. Department of Education, National Center for Education Statistics, Academic Libraries component, Integrated Postsecondary Education Data System (IPEDS), (2020, 2018, 2016, 2014), https://nces.ed.gov/ipeds/datacenter/login.aspx?gotoReportId=7[dataset] U.S. Department of Education, National Center for Education Statistics, Academic Libraries Survey (ALS) Public Use Data File, Library Statistics Program, (2012, 2010, 2008, 2006, 2004, 2002, 2000, 1998, 1996), https://nces.ed.gov/surveys/libraries/aca_data.asp[dataset] U.S. Department of Education, National Center for Education Statistics, Institutional Characteristics component, Integrated Postsecondary Education Data System (IPEDS), (2020, 2018, 2016, 2014), https://nces.ed.gov/ipeds/datacenter/login.aspx?gotoReportId=7[dataset] U.S. Department of Education, National Center for Education Statistics, Fall Enrollment component, Integrated Postsecondary Education Data System (IPEDS), (2020, 2018, 2016, 2014, 2012, 2010, 2008, 2006, 2004, 2002, 2000, 1998, 1996), https://nces.ed.gov/ipeds/datacenter/login.aspx?gotoReportId=7[dataset] U.S. Department of Education, National Center for Education Statistics, Human Resources component, Integrated Postsecondary Education Data System (IPEDS), (2020, 2018, 2016, 2014, 2012, 2010, 2008, 2006), https://nces.ed.gov/ipeds/datacenter/login.aspx?gotoReportId=7[dataset] U.S. Department of Education, National Center for Education Statistics, Employees Assigned by Position component, Integrated Postsecondary Education Data System (IPEDS), (2004, 2002), https://nces.ed.gov/ipeds/datacenter/login.aspx?gotoReportId=7[dataset] U.S. Department of Education, National Center for Education Statistics, Fall Staff component, Integrated Postsecondary Education Data System (IPEDS), (1999, 1997, 1995), https://nces.ed.gov/ipeds/datacenter/login.aspx?gotoReportId=7

Supplementa Table 1: Raw data of the number of asp counted in the survey in Houston, Texas, USA in 2015, 2017, and 2018. Noted is the date of the survey, if the tree was netted (Y) or non-netted (N), the number of asp (larvae and pupae) observed on each tree, the location of the survey (TMC = Texas Medical Center; Rice = Rice University; HP = Herman Park; SG = Southgate Neighborhood), the year the survey was conducted, and if the tree of previously netted (Y = previously netted; N = not previously netted).

National Center for Education Statistics. Public Elementary/Secondary School Summary (CCD): School Count - Regular Schools, 2012. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 017-002-002 Dataset: A public elementary/secondary school providing instruction and education services that does not focus primarily on special education, vocational/technical education, or alternative education, or on any of the particular themes associated with magnet/special program emphasis schools. Data are from the Common Core of Data (CCD), a program of the U.S. Department of Education's National Center for Education Statistics that annually collects fiscal and non-fiscal data about all public schools, public school districts and state education agencies in the United States. The data are supplied by state education agency officials. http://nces.ed.gov/ccd/ccddata.asp Category: Education Subject: Secondary Schools, Junior High Schools, High Schools, Public Schools, Elementary Schools Source: National Center for Education Statistics The National Center for Education Statistics (NCES) is the primary federal entity in the United States for collecting and analyzing data related to education in the US and other nations. NCES is located within the US Department of Education and the Institute of Education Sciences. The NCES fulfills a congressional mandate to collect, collate, analyze, and report complete statistics on the condition of US education; conduct and publish reports; and review and report on education activities internationally. The NCES is one of four centers (along with the National Center for Education Research, the National Center for Education Evaluation and Regional Assistance, and the National Center for Special Education Research) charged with carrying out the work of the Institute of Education Sciences. http://nces.ed.gov/National Center for Education Statistics. Public Elementary/Secondary School Summary (CCD): School Count - Charter School, 2012. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 017-002-020 Dataset: A school providing free public elementary and/or secondary education to eligible students under a specific charter granted by the state legislature or other appropriate authority, and designated by such authority to be a charter school. Data are from the Common Core of Data (CCD), a program of the U.S. Department of Education's National Center for Education Statistics that annually collects fiscal and non-fiscal data about all public schools, public school districts and state education agencies in the United States. The data are supplied by state education agency officials. http://nces.ed.gov/ccd/ccddata.asp Category: Education Subject: Secondary Schools, Junior High Schools, High Schools, Elementary Schools, School Choice, Charter Schools Source: National Center for Education Statistics The National Center for Education Statistics (NCES) is the primary federal entity in the United States for collecting and analyzing data related to education in the US and other nations. NCES is located within the US Department of Education and the Institute of Education Sciences. The NCES fulfills a congressional mandate to collect, collate, analyze, and report complete statistics on the condition of US education; conduct and publish reports; and review and report on education activities internationally. The NCES is one of four centers (along with the National Center for Education Research, the National Center for Education Evaluation and Regional Assistance, and the National Center for Special Education Research) charged with carrying out the work of the Institute of Education Sciences. http://nces.ed.gov/

NCES relies on information about school location to construct school-based surveys, support program administration, identify associations with other types of geographic entities, and to help investigate the social and spatial context of education. EDGE creates and assigns address geocodes (estimated latitude/latitude values) and other geographic indicators to public schools, public local education agencies, private schools, and postsecondary schools. The geographic data are provided for download as shapefiles and are also directly accessible as GIS web services.Geocodes for public schools are based on data reported in the NCES Common Core of Data (CCD), an annual collection of administrative data about enrollment, staffing, and program participation for schools, local education agencies (LEAs), and state education agencies (SEAs). SEAs report these data to the United States Department of Education in a series of file submissions throughout the year. Additional information about the CCD collection and data resources for public schools are available at https://nces.ed.gov/ccd/ccddata.asp.

Estimates of total businesses broken down by industry (2, 3, 4 digit SIC 2007 codes and industry section). Workplace data units from Annual Business Inquiry (ABI) for London and Great Britain. Data rounded to the nearest 100. Percentages calculated on unrounded data. An extract compiled from the Inter Departmental Business Register (IDBR) recording the number of local units that were live at a reference date in March. Estimates can be broken down by employment size band, detailed industry (5 digit SIC2007) and legal status. Available from country down to mid layer super output area and Scottish intermediate zones. A local unit is an individual site (for example a factory or shop) associated with an enterprise. It can also be referred to as a workplace. Industry is broken down using SIC 2007 codes. Read more about SIC here http://www.statistics.gov.uk/methods_quality/sic/downloads/SIC2007explanatorynotes.pdf The ABI is a business survey which collects both employment and financial information. Only employment information for the location of an employees workplace is available from Nomis The ABI is based on a sample of approximately 78,000 businesses and is used to provide an estimate of the number of employees. The difference between the estimate and its true value is known as the sampling error. The actual sampling error for any estimate is unknown but we can estimate, from the sample, a typical error, known as the standard error. This provides a means of assessing the precision of the estimate; the lower the standard error, the more confident we can be the estimate is close to the true value. https://www.nomisweb.co.uk/articles/showArticle.asp?title=Information&article=news/071212_abi-stderrors.htm This dataset excludes farm based agriculture data contained in SIC class 0100. Relevant link: https://www.nomisweb.co.uk/Default.asp

This dataset provides information about the number of properties, residents, and average property values for Asp cross streets in Sparks, OK.

Aspect was produced from the IA DEM using ESRI's Aspect tool. Method option in the tool was ‘PLANAR'. The aspect defines downslope direction. Non-defined aspect (slope is less than or =2) are assigned a value of -1. Aspect values range from 0.0 to 359.0 degrees Focal Statistics were used on the Percent Rise Slope using a 9x9 window and a median statistics value. the file was then used to rectify over the Aspect file (in house script was used).

**In June 2014, LINZ moved the information from the Authoritative Streets and Places database (ASP) into Landonline and the ASP database is no longer maintained. **

This table is a lookup table identifying valid Maori Electorates.

This table is part of the Authoritative Streets and Places (ASP) Database. For more information about the database including the data model see here.

Notes:

• This table contains a static unique identifier 'id' column that is not part of the original published ASP database. This column has been added to support incremental changesets on LDS. There is a direct relationship between this column and the original primary key on the 'code' column.

This layer contains established trails in Alaska State Parks. The trail data was compiled by the Trails Inventory Project, Alaska State Trails Program, Division of Parks and Outdoor Recreation (DPOR). Data was collected by DPOR staff using mapping grade GPS receivers between 2007 and 2015. Much of the funding came from the Recreational Trails Program (RTP). New trails may have been constructed and trails may have been re-routed, changed, or closed since the data was compiled. Please send us feedback if a trail is missing from the data or if a trail is impassable, re-routed, or closed. Regulations, orders closing or opening trails, and DPOR signs closing a trail or prohibiting a particular activity take precedence over information about trail status or activities provided here.

The Local Area Unemployment Statistics (LAUS) program is a federal-state cooperative effort which produces monthly estimates of produces monthly and annual employment, unemployment, and labor force data for approximately 7,000 areas including Census regions and divisions, States, counties, metropolitan areas, and many cities.

This dataset includes data for all 50 states, the District of Columbia, and Puerto Rico. To only see data for Connecticut, create a filter where "State name" is equal to "Connecticut".

For more information on the LAUS program and data visit: https://www.bls.gov/lau/

For more information from the CT Department of Labor visit: https://www1.ctdol.state.ct.us/lmi/LAUS/default.asp