ONSTAGE is the online data collection about Amsterdam’s first and most prominent public theatre venue: the Schouwburg. In theatre history, the Amsterdam Schouwburg has a unique stand for the complete and continuous account books, programming and administration of annual playlists, expenses and revenues which, as a most sensitive finger to the theatre’s pulse, provide access and analytical tools for the theatre’s artistic business from its foundation in 1638 until today.Launched in 2015, ONSTAGE contains the theatre’s programme per date, supplemented with its revenues. As linked data, ONSTAGE is a key instrument for performance details about any individual play in the Schouwburg. For each drama play, it holds information like the premiere date or its performance frequency per season. On a larger scale, ONSTAGE shows the plays’ histories over time and their life cycles on stage from premiere until final performance. Moreover, providing the financial revenues per performance, the ONSTAGE data system has a proxy for the Schouwburg’s occupation per performance and, thus, for the numbers of attendees. Full description of Dataset and project in Research Data Journal

The sales based on format of musical recordings for the record production and integrated record production and distribution industries, sound recording and music publishing (NAICS 512210 and 512220), for two years of data.

This table contains 6 series, with data for years 1998 - 2003 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Musical category (6 items: Popular and rock music;Classical music;Jazz and blues;Country and folk music; ...).

Abstract copyright UK Data Service and data collection copyright owner. The research was concerned with the relationships that exist between those who distribute and those who receive grants in theatre markets. The aim was to consider questions such as: (i) What is the distribution of grants across repertory theatres from each of the various sources (Arts Council, local authority, other)? (ii) What effect does one donor's policy have upon other donors' decisions? (iii) In what way do recipients respond to variations in grant allocation? In the absence of any suitable published statistics, the data set was specially compiled to provide an empirical perspective on these questions. Main Topics: Variables The survey derives from a 'total' (or census) sample of English provincial repertory theatres for the financial years 1977-78 to 1980-81. From theatres' audited Income and Expenditure Accounts and weekly summary production returns (both sources held by the Arts Council), an extensive set of variables was derived for both theatre activities (production, performances, attendance, etc.) and finances (grants, box-office revenue, other trading revenue, production and other costs, etc.). No sampling (total universe) Compilation or synthesis of existing material Analysis of theatres' audited Income and Expenditure Accounts and Summary Production Returns held by the Arts Council

MGD: Music Genre Dataset

Over recent years, the world has seen a dramatic change in the way people consume music, moving from physical records to streaming services. Since 2017, such services have become the main source of revenue within the global recorded music market.
Therefore, this dataset is built by using data from Spotify. It provides a weekly chart of the 200 most streamed songs for each country and territory it is present, as well as an aggregated global chart.

Considering that countries behave differently when it comes to musical tastes, we use chart data from global and regional markets from January 2017 to December 2019, considering eight of the top 10 music markets according to IFPI: United States (1st), Japan (2nd), United Kingdom (3rd), Germany (4th), France (5th), Canada (8th), Australia (9th), and Brazil (10th).

We also provide information about the hit songs and artists present in the charts, such as all collaborating artists within a song (since the charts only provide the main ones) and their respective genres, which is the core of this work. MGD also provides data about musical collaboration, as we build collaboration networks based on artist partnerships in hit songs. Therefore, this dataset contains:

• Genre Networks: Success-based genre collaboration networks
• Genre Mapping: Genre mapping from Spotify genres to super-genres
• Artist Networks: Success-based artist collaboration networks
• Artists: Some artist data
• Hit Songs: Hit Song data and features
• Charts: Enhanced data from Spotify Weekly Top 200 Charts

This dataset was originally built for a conference paper at ISMIR 2020. If you make use of the dataset, please also cite the following paper:

Gabriel P. Oliveira, Mariana O. Silva, Danilo B. Seufitelli, Anisio Lacerda, and Mirella M. Moro. Detecting Collaboration Profiles in Success-based Music Genre Networks. In Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR 2020), 2020.

@inproceedings{ismir/OliveiraSSLM20,
 title = {Detecting Collaboration Profiles in Success-based Music Genre Networks},
 author = {Gabriel P. Oliveira and 
      Mariana O. Silva and 
      Danilo B. Seufitelli and 
      Anisio Lacerda and
      Mirella M. Moro},
 booktitle = {21st International Society for Music Information Retrieval Conference}
 pages = {726--732},
 year = {2020}
}

This table contains 760 series, with data for years 1998/1999 - 2002/2003 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Discipline (5 items: Total performing arts disciplines;Theatre;Music;Dance; ...), Company size (4 items: Total, all company sizes;Small size companies;Medium size companies;Large size companies), Revenues and expenses (38 items: Total revenue;Total earned revenue;Total earned revenue from home ticket sales;Subscription ticket sales; ...).

This dataset tracks annual total revenue from 2000 to 2021 for Sandhills Theatre Arts Renaiss School District

This dataset tracks annual average revenue per student from 2000 to 2021 for Sandhills Theatre Arts Renaiss School District

ONSTAGE is the online data collection about Amsterdam’s first and most prominent public theatre venue: the Schouwburg. In theatre history, the Amsterdam Schouwburg has a unique stand for the complete and continuous account books, programming and administration of annual playlists, expenses and revenues which, as a most sensitive finger to the theatre’s pulse, provide access and analytical tools for the theatre’s artistic business from its foundation in 1638 until today.Launched in 2015, ONSTAGE contains the theatre’s programme per date, supplemented with its revenues. As linked data, ONSTAGE is a key instrument for performance details about any individual play in the Schouwburg. For each drama play, it holds information like the premiere date or its performance frequency per season. On a larger scale, ONSTAGE shows the plays’ histories over time and their life cycles on stage from premiere until final performance. Moreover, providing the financial revenues per performance, the ONSTAGE data system has a proxy for the Schouwburg’s occupation per performance and, thus, for the numbers of attendees. Full description of Dataset and project in Research Data Journal

Historical Dataset of Sandhills Theatre Arts Renaiss School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends,Overall School District Rank Trends,American Indian Student Percentage Comparison Over Years (2001-2023),Asian Student Percentage Comparison Over Years (2000-2020),Hispanic Student Percentage Comparison Over Years (2003-2023),Black Student Percentage Comparison Over Years (2003-2023),White Student Percentage Comparison Over Years (2003-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Comparison of Students By Grade Trends

The sales based on format of musical recordings for the record production and integrated record production and distribution industries, sound recording and music publishing (NAICS 512210 and 512220), for two years of data.