100+ datasets found
  1. d

    Data from: Museum Universe Data File

    • data.world
    csv, zip
    Updated Apr 22, 2024
    + more versions
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    J. Albert Bowden II (2024). Museum Universe Data File [Dataset]. https://data.world/albert/museum-universe-data-file
    Explore at:
    csv, zipAvailable download formats
    Dataset updated
    Apr 22, 2024
    Dataset provided by
    data.world, Inc.
    Authors
    J. Albert Bowden II
    Description

    The Museum Universe Data File is an evolving list of museums and related organizations in the United States. It includes basic information on aquariums, arboretums, botanical gardens, art museums, children’s museums, general museums, historic houses and sites, history museums, nature centers, natural history and anthropology museums, planetariums, science and technology centers, specialized museums, and zoos.

    References and Resources

    Museum Universe Data File FY 2015 Q3 - Most Current as of 2018-11-20
    Canonical Source
    Interactive Dataset
    Data Table
    Documentation (PDF)
    GeoJSON
    CSV Data File (ZIP)
    API
    JSON

  2. R

    museum Dataset

    • universe.roboflow.com
    zip
    Updated Sep 23, 2022
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    kubotalab (2022). museum Dataset [Dataset]. https://universe.roboflow.com/kubotalab/museum-c72bo
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 23, 2022
    Dataset authored and provided by
    kubotalab
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Museum Bounding Boxes
    Description

    Here are a few use cases for this project:

    1. Virtual Museum Tours: The "museum" model can be used in creating interactive, virtual tours of museums. It can identify different items in the museum space, provide detailed information about them, and even answer visitors' inquiries about specific artifacts or paintings.

    2. Artifact Categorization: Museums can utilize this model to help categorize various objects and artifacts. It can streamline the task of sorting and identifying objects, hence simplifying the task of archivists and curators.

    3. Inventory Management: The model could be used for inventory management in a museum setting. By identifying objects, their locations, and their states, it can facilitate the tracking, preserving, and safeguarding of a museum's collections.

    4. Augmenting Museum Experience: It could be applied in AR (Augmented Reality) apps to recognize objects and provide visitors with additional information such as historical details, explanations, or related multimedia files, thereby enhancing the museum-going experience.

    5. Museum Security: By identifying objects and individuals, the "museum" model could be used to enhance security within the museum. It could be used to ensure that no artifacts are tampered with or removed, and help identify any suspicious activities.

  3. k

    Canada-Museums-Dataset

    • kaggle.com
    Updated Jun 17, 2023
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    (2023). Canada-Museums-Dataset [Dataset]. https://www.kaggle.com/datasets/leadsdeposit/canada-museums
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 17, 2023
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Canada
    Description

    The Museums Dataset is a comprehensive collection of information about 5,400 museums (and other cultural attractions like libraries, theaters or art galleries) located across Canada. This dataset provides details such as museum names, addresses, and precise geographical coordinates. It serves as a valuable resource for researchers, enthusiasts, and developers interested in exploring the rich cultural and historical landscape of Canada. With this dataset, users can easily access accurate location data for museums and other cultural places, facilitating various applications such as mapping, travel planning, and cultural analysis.

  4. Museum Data Files, United States

    • icpsr.umich.edu
    Updated Sep 23, 2015
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    Institute of Museum and Library Services (2015). Museum Data Files, United States [Dataset]. https://www.icpsr.umich.edu/web/NADAC/studies/36288
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    Dataset updated
    Sep 23, 2015
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Institute of Museum and Library Services
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36288/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36288/terms

    Area covered
    United States
    Description

    The purpose of the Museum Data Files (MDF) is to provide information about museums and related organizations in the United States. These data are a set of three files, based on museum discipline, and available through the Institute of Museum and Library Services (IMLS). The Museum Data Files contain information about museum location (including geocode data), museum discipline, North American Industry Classification System (NAICS) and National Taxonomy of Exempt Entities codes, DUNS, EIN, Regional classifications (American Alliance of Museums and the Bureau of Economic Analysis categorization schemes) and IRS 990 revenue information. For more information, see IMLS's Data File Documentation and Users Guide.

    Previous files were posted under the name "Museum Universe Data File (MUDF)" in FY 2014 Q1, FY 2015 Q1, and FY 2015 Q3. IMLS has no plans to update the museum files. Other researchers are working with the data in the three museum files and will share their findings as these are available.

    Researchers, journalists, the public, local practitioners, and policymakers at the federal, state, and local levels use the MDF data for planning, evaluation, and policy making purposes.

    The latest MDF data can be downloaded in Comma Separated Values (CSV) format.

  5. d

    Museum Visitors

    • catalog.data.gov
    • data.lacity.org
    Updated Apr 19, 2024
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    data.lacity.org (2024). Museum Visitors [Dataset]. https://catalog.data.gov/dataset/museum-visitors
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    Dataset updated
    Apr 19, 2024
    Dataset provided by
    data.lacity.org
    Description

    Individual visits to El Pueblo museums, per month. *The Museum of Social Justice is an independently operated museum, and reopened to the public May 2021. All El Pueblo-operated museums partially reopened June 10, 2021.

  6. P

    MAMe Dataset

    • paperswithcode.com
    • trends.openbayes.com
    + more versions
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    Ferran Parés; Anna Arias-Duart; Dario Garcia-Gasulla; Gema Campo-Francés; Nina Viladrich; Eduard Ayguadé; Jesús Labarta, MAMe Dataset [Dataset]. https://paperswithcode.com/dataset/mame
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    Authors
    Ferran Parés; Anna Arias-Duart; Dario Garcia-Gasulla; Gema Campo-Francés; Nina Viladrich; Eduard Ayguadé; Jesús Labarta
    Description

    The MAMe dataset contains images of high-resolution and variable shape of artworks from 3 different museums:

    The Metropolitan Museum of Art of New York The Los Angeles County Museum of Art The Cleveland Museum of Art

  7. british museum data

    • kaggle.com
    zip
    Updated Mar 27, 2024
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    ying na667788 (2024). british museum data [Dataset]. https://www.kaggle.com/datasets/yingna667788/british-museum-data
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    zip(5342962 bytes)Available download formats
    Dataset updated
    Mar 27, 2024
    Authors
    ying na667788
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Dataset

    This dataset was created by ying na667788

    Released under Apache 2.0

    Contents

  8. Share of museum visitors in the U.S. 2023, by ethnicity

    • statista.com
    Updated Dec 11, 2023
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    Statista (2023). Share of museum visitors in the U.S. 2023, by ethnicity [Dataset]. https://www.statista.com/statistics/1357074/share-museum-visitors-by-ethnicity-united-states/
    Explore at:
    Dataset updated
    Dec 11, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    According to a 2023 survey conducted in the United States, individuals who identified as Asians or Asian Americans were the most likely to have visited a museum over the previous 12 months. While 40 percent of Asian or Asian American respondents reported having been to a museum in the past year, 27 percent of people identifying as white stated the same.

    How big is the museum market in the United States?
    The market size of the museum industry in the United States amounted to over 11 billion U.S. dollars in 2022, growing over the previous year but staying below the figures reported prior to the coronavirus (COVID-19) pandemic. Similarly, the number of employees in the U.S. museum industry increased to around 90 thousand in 2022 but remained lower than in pre-pandemic years.

    What are the most popular U.S. museums? Despite the challenges posed by the health crisis, the National Museum of Natural History in Washington D.C. was the U.S. institution ranking highest among the most visited museums worldwide in 2022, followed by Washington D.C.'s National Gallery of Art and New York's Metropolitan Museum of Art. In 2022, attendance at the Metropolitan Museum exceeded three million, showing a sign of recovery after the impact of COVID-19 but still falling short of pre-pandemic levels.

  9. Data from: Museum Universe Data File

    • datalumos.org
    • dev.datalumos.org
    delimited
    Updated Mar 2, 2018
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    Institute of Museum and Library Services (2018). Museum Universe Data File [Dataset]. http://doi.org/10.3886/E101763V1
    Explore at:
    delimitedAvailable download formats
    Dataset updated
    Mar 2, 2018
    Dataset authored and provided by
    Institute of Museum and Library Serviceshttps://www.imls.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2015
    Area covered
    United States
    Description

    The Museum Universe Data File is a list of museums and related organizations in the United States. It includes basic information on aquariums, arboretums, botanical gardens, art museums, children’s museums, general museums, historic houses and sites, history museums, nature centers, natural history and anthropology museums, planetariums, science and technology centers, specialized museums, and zoos.

    The Museum Universe Data File includes data from several sources. The initial data was compiled in 2014 using data from IMLS administrative records for discretionary grant recipients, IRS records for tax-exempt organizations, and the recipients of grants from private foundations.

    The data file includes basic information about each organization (name, address, phone, website, and revenue) plus several geographic markers. It also includes information about each organization's discipline. The discipline type is based on the National Taxonomy of Exempt Entities (link is external), which the National Center for Charitable Statistics and IRS use to classify nonprofit organizations.

  10. The Met Public Domain Art Works

    • kaggle.com
    zip
    Updated Mar 20, 2019
    + more versions
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    The Metropolitan Museum of Art (2019). The Met Public Domain Art Works [Dataset]. https://www.kaggle.com/metmuseum/the-met
    Explore at:
    zip(0 bytes)Available download formats
    Dataset updated
    Mar 20, 2019
    Dataset authored and provided by
    The Metropolitan Museum of Art
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Context

    The Metropolitan Museum of Art, better known as the Met, provides a public domain dataset with over 200,000 objects including metadata and images. In early 2017, the Met debuted their Open Access policy to make part of their collection freely available for unrestricted use under the Creative Commons Zero designation and their own terms and conditions.

    Content

    This dataset provides a new view to one of the world’s premier collections of fine art. The data includes both image in Google Cloud Storage, and associated structured data in two BigQuery two tables, objects and images (1:N). Locations to images on both The Met’s website and in Google Cloud Storage are available in the BigQuery table.

    Fork this kernel to get started with this dataset.

    https://cloud.google.com/blog/big-data/2017/08/images/150177792553261/met03.png" alt=""> https://cloud.google.com/blog/big-data/2017/08/images/150177792553261/met03.png

    Acknowledgements

    https://bigquery.cloud.google.com/dataset/bigquery-public-data:the_met

    https://console.cloud.google.com/launcher/details/the-metropolitan-museum-of-art/the-met-public-domain-art-works

    This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source — http://www.metmuseum.org/about-the-met/policies-and-documents/image-resources — and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

    Banner Photo by @danieltong from Unplash.

    Inspiration

    What are the types of art by department?

    What are the earliest photographs in the collection?

    What was the most prolific period for ancient Egyptian Art?

  11. Operating expenses of the Metropolitan Museum of Art 2018-2023, by type

    • statista.com
    • internal.statista.com
    Updated Nov 24, 2023
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    Statista (2023). Operating expenses of the Metropolitan Museum of Art 2018-2023, by type [Dataset]. https://www.statista.com/statistics/258523/expenses-of-the-metropolitan-museum-of-art-in-new-york/
    Explore at:
    Dataset updated
    Nov 24, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Operating expenses of the Metropolitan Museum of Art in New York, United States, rose between July 2022 and June 2023 compared to the previous fiscal year, following a sharp decline with the onset of the coronavirus (COVID-19) pandemic. In 2022/2023, the museum's operating costs amounted to roughly 357.4 million U.S. dollars. While this figure grew by around 23 million U.S. dollars from the previous year, it remained below pre-pandemic levels. Meanwhile, revenue, support, and transfers of the Metropolitan Museum of Art also experienced a year-over-year increase in 2022/2023.

  12. Museum industry market size in the U.S. 2022-2024

    • statista.com
    Updated Jan 18, 2024
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    Statista (2024). Museum industry market size in the U.S. 2022-2024 [Dataset]. https://www.statista.com/statistics/1174784/museum-industry-market-size-us/
    Explore at:
    Dataset updated
    Jan 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The market size of the museum industry in the United States increased by 2.6 percent in 2023 compared to the previous year. Overall, this industry's market size totaled approximately 16.7 billion U.S. dollars in 2023. This figure was forecast to reach an estimated 16.9 billion U.S. dollars in 2024.

  13. d

    Exhibitions

    • data.world
    csv, zip
    Updated Apr 9, 2024
    + more versions
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    MOMA (2024). Exhibitions [Dataset]. https://data.world/moma/exhibitions
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Apr 9, 2024
    Authors
    MOMA
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    1929 - 2015
    Description

    In-the-News:
    * New York Times:Looking Back on a Revolution: Russian Art at MoMA * New York Mag:Where Are All the Women? On MoMA’s identity politics. * Techly:This is how you can see every single exhibit from MoMA online

    The Museum of Modern Art (MoMA) Exhibition and Staff Histories

    Exhibition Index Dataset

    The Museum of Modern Art (MoMA) opened in 1929 with its first exhibition Cézanne, Gauguin, Seurat, Van Gogh [MoMA Exh. #1, November 7–December 7, 1929]. Since that time the Museum has presented more than 2,500 exhibitions of artworks from all moments of art history and all corners of the globe. While the Museum’s focus has been on all forms of art and design from Post-impressionism into the 21st century, exhibitions have also included paintings by Italian Renaissance masters, historic sculptures and textiles from Africa and Oceania, pottery and implements from Native American communities, and European and American folk and outsider art.

    The exhibition index dataset was compiled by a project team from the MoMA Archives as part of their work to preserve, describe, and open to the public over 22,000 folders of exhibition records dating from 1929 to 1989 from its registrar and curatorial departments. The Exhibition History Project was generously funded by the Leon Levy Foundation, which has also committed to underwriting further work on this dataset and the processing of additional records from 1990 to 2000 over the next three years. Not yet included in the dataset are the thousands of film series presented by MoMA’s Department of Film over its 80-year history. Those records will be added in a future phase of the project, as will a history of performance art at MoMA and MoMA PS1 and exhibitions at MoMA PS1.

    This research dataset lists 1,788 exhibitions, representing all of the known exhibitions held at the museum from 1929 through 1989. All known curators and organizers, artists and other participants are listed for each exhibition. A total of 11,550 constituents are represented in this dataset, approximately 5,900 of them not currently represented in MoMA’s permanent collection of artworks.

    Museum Directors and Department Heads Dataset

    The staff history dataset contains a list of all directors of the Museum and department heads of individual curatorial departments since its founding in 1929. In its nascency the Museum's administration was so small that separate departments did not exist as such. For instance, while the Museum conducted registrarial activities from the very beginning, only in 1932 was a staff member, Alice E. Mallete, designated as Registrar. Likewise, though MoMA began its permanent collection of prints and drawings in 1929 and received its first painting in 1930, the official conception of the Department of Painting and Sculpture is of uncertain date and it did not have the position of chief curator or director until 1940. Specific position titles are mostly omitted from this dataset as these often changed and an individual might be a curator or chief curator, acting director or director, while still always being the top-ranked position within the department. Further notes on the history of individual departments are below.

    Department of Painting and Sculpture (1929–present)

    The official founding date of this curatorial department as a distinct unit is uncertain; the name Department of Painting and Sculpture is first seen among Museum records around 1940. In 1947 the Museum reorganized the administration of the department. Alfred H. Barr, Jr. was named "Director of Museum Collections" in which he was in charge of supervising all the Museum's acquisitions, personally responsible for painting and sculpture acquisitions and, as phrased in the press release, responsible for the "planning, organization, care and use (including publications and display) of the Collections as a whole." Other departments were placed under Barr's supervision but remained largely independent. Dorothy C. Miller, already serving as Acting Director of Painting and Sculpture upon James Johnson Sweeney's departure, remained in that now-redefined role until 1949. Miller and the Directors who followed her during Barr's tenure are sometimes referred to as the Directors of Painting and Sculpture Exhibitions to distinguish them from Barr's role as Director of Museum Collections.

    Department of Architecture (1932–1949), Department of Industrial Design (1940–1948), Department of Architecture and Design (1949–present)

    Renamed the Department of Architecture and Industrial Art in 1935, returning to simply the Department of Architecture in 1940 when Industrial Design was made independent. For a brief time during Philip L. Goodwin's tenure as "Chairman" of the Department lead curators were designated as Directors and are thus included in the dataset. The current Department of Architecture and Design was created when the Departments of Architecture and Industrial Design merged in 1949.

    Department of Film (1935–present)

    Founded as the Film Library, became the Department of Film in 1966, renamed the Department of Film and Video in 1994, renamed the Department Film and Media in 2001, and most recently renamed the Department of Film in 2006 after the creation of the new stand-alone Department of Media. Note that Iris Barry was the Department's first curator and was in many ways considered the de facto department head from 1935 as John E. Abbott had several executive roles at the Museum.

    Department of Photography (1940–present)

    In the summer of 1929 Alfred H. Barr, Jr. included a department devoted to photography in the multi-departmental plan for the Museum which he was asked to present to the Trustees. But the department did not actually exist until 1940. It was the first department of photography in a museum devoted to twentieth-century art.

    Department of Dance and Theater Design (1944–1948)

    In 1939 the Dance Archives was established as a part of the Museum Library to provide a home for a specialized research collection for the study of dance donated by Lincoln Kirstein. Paul Magriel was the Dance Archives' first librarian. In 1944 the Dance Archives was promoted to the status of a curatorial department with George Amberg as its curator. The department was dissolved in 1948 due to the Museum’s rising operating costs.

    Department of Drawings and Prints (1960–1969), Department of Prints and Illustrated Books (1969–2013), Department of Drawings (1971–2013), Department of Drawings and Prints (2013–present)

    The Department of Drawings and Prints began in 1960 under the aegis of Museum Collections and only became an independent department in 1966. The Department of Prints and Illustrated Books was created in 1969 to provide autonomy for prints while responsibility for drawings reverted to the Department of Painting and Sculpture until 1971. The current Department of Drawings and Prints was formed after the merger of the Department of Prints and Illustrated Books and the Department of Drawings in 2013.

    Chief Curator at Large (1993–present)

    Senior curatorial position unattached to a curatorial department.

    Department of Media and Performance Art (2006–present)

    Split off from the Department of Film as the Department of Media and renamed Media and Performance Art in 2009.

    Fields in the staff history dataset are as follows:

    Field NameTypeDescriptionExample
    DepartmentFullNameStringThe full name of the institution or the curatorial department.Department of Architecture
    DepartmentBeginYearNumberThe year the department was created.1932
    DepartmentEndYearNumberThe year the department closed or merged with another.1949
    ConstituentIDNumberA unique number that identifies individuals within the Museum’s collection database.16292
    DisplayNameStringThe full proper reading format of a name.Philip L. Goodwin
    PositionNoteStringNote to clarify the title of department head.as Chairman
    PositionBeginDateNumberYear the individual was named to the position.1935
    PositionEndDateNumberYear the individual stepped down from the position.1948
    ConstituentTypeStringType of constituent, usually Individual or Institution (organization)Individual
    AlphaSortStringThe form of the name for alphabetization by last name.Goodwin Philip L.
    FirstNameStringThe individual’s first name, when known.Philip
    MiddleNameStringThe individual’s middle name or initial, when knownL.
    LastNameStringThe individual’s last name, when knownGoodwin
    SuffixStringThe individual’s name suffix, when presentJr.
    NationalityStringAccepted country of identification, often distinct from country of originAmerican
    ConstituentBeginDateNumberBirth year of an individual or an institution’s year of origin1885
    ConstituentEndDateNumberDeath year of an individual or an institution’s year of termination1958
    ArtistBioStringText display of nationality with birth and death yearsAmerican, 1885–1958
    GenderStringGender identity of an individualMale
    VIAFIDNumberUnique identifier from the Virtual International Authority File (VIAF)107308378
    WikidataIDStringUnique identifier from Wikidata, Wikipedia, and other Wikimedia resourcesQ21289656
    ULANIDNumberUnique identifier from the Getty Research Institute’s Union List of Artists Names
  14. f

    Data for the 18 major U.S. art museums in our study.

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Chad M. Topaz; Bernhard Klingenberg; Daniel Turek; Brianna Heggeseth; Pamela E. Harris; Julie C. Blackwood; C. Ondine Chavoya; Steven Nelson; Kevin M. Murphy (2023). Data for the 18 major U.S. art museums in our study. [Dataset]. http://doi.org/10.1371/journal.pone.0212852.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Chad M. Topaz; Bernhard Klingenberg; Daniel Turek; Brianna Heggeseth; Pamela E. Harris; Julie C. Blackwood; C. Ondine Chavoya; Steven Nelson; Kevin M. Murphy
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    These museums are distributed across U.S. geographic regions and have a range of collection funding model types. Museums are arranged into groups according to their collecting mission as determined by a cluster analysis; see Results. The table below summarizes our data, including the date we scraped records from websites, the number of records scraped, the number of records randomly sampled from the scraped records, and the number and percentage of sampled records from a museum’s collection determined to be individual, identifiable artists (IIA). Overall, there are 10,108 IIA records and we make confident gender, ethnicity, regional origin, and birth decade inferences (CGI, CEI, CRI, CBI) for, respectively, 89%, 82%, 83%, and 79% of these.

  15. Data from: Museum of Comparative Zoology, Harvard University

    • gbif.org
    • bionomia.net
    • +5more
    Updated Apr 20, 2024
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    MCZ Harvard University; MCZ Harvard University (2024). Museum of Comparative Zoology, Harvard University [Dataset]. http://doi.org/10.15468/p5rupv
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    Dataset updated
    Apr 20, 2024
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Museum of Comparative Zoology, Harvard University
    Authors
    MCZ Harvard University; MCZ Harvard University
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1679 - Aug 12, 2013
    Area covered
    Description

    The Museum of Comparative Zoology was founded in 1859 on the concept that collections are an integral and fundamental component of zoological research and teaching. This more than 150-year-old commitment remains a strong and proud tradition for the MCZ.

    The present-day MCZ contains over 21-million specimens in ten research collections which comprise one of the world's richest and most varied resources for studying the diversity of life. The museum serves as the primary repository for zoological specimens collected by past and present Harvard faculty-curators, staff and associates conducting research around the world.

    As a premier university museum and research institution, the specimens and their related data are available to researchers of the scientific and museum community.

  16. Revenue, support, and transfers of the Metropolitan Museum of Art 2018-2023

    • statista.com
    Updated Nov 24, 2023
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    Statista (2023). Revenue, support, and transfers of the Metropolitan Museum of Art 2018-2023 [Dataset]. https://www.statista.com/statistics/258520/metropolitan-museum-of-art-revenue-support-und-transfers/
    Explore at:
    Dataset updated
    Nov 24, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Metropolitan Museum of Art in New York, United States, recorded an increase in revenue from admissions between July 2022 and June 2023 compared to the previous year. Despite the annual rise, revenue generated from admissions remained below the figure reported in 2018/2019, the fiscal year before the impact of the coronavirus (COVID-19) pandemic, amounting to around 49 million U.S. dollars in 2022/2023.

  17. d

    Museums

    • data.gov.uk
    • data.europa.eu
    • +1more
    csv, json, zip
    Updated Nov 24, 2018
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    Calderdale Metropolitan Borough Council (2018). Museums [Dataset]. https://www.data.gov.uk/dataset/09f2b5dc-24f5-4281-81c9-4d0faaa07382/museums
    Explore at:
    csv, zip, jsonAvailable download formats
    Dataset updated
    Nov 24, 2018
    Dataset authored and provided by
    Calderdale Metropolitan Borough Council
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Museums including, names, location in eastings and northings and a website link for each museum in Calderdale.

    This data has been derived from Ornance Survey base mapping. (C) Crown copyright [and database rights] (2016) OS (licence 100023069).

  18. d

    Harvard Art Museums API

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
    + more versions
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    Harvard Art Museums (2023). Harvard Art Museums API [Dataset]. https://search.dataone.org/view/sha256%3Afbd97be4edd49fed2426f78d8e7992c20a2a302127d06904d5e41f11cbde3f85
    Explore at:
    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Harvard Art Museums
    Description

    The Harvard Art Museums API is a REST-style service designed for developers who wish to explore and integrate the museums’ collections in their projects. The API provides direct access to the data that powers the museums' website and many other aspects of the museums.

  19. m

    Development of publication on museum-digital:usa

    • usa.museum-digital.org
    csv, json
    Updated Dec 8, 2020
    + more versions
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    museum-digital:usa (2020). Development of publication on museum-digital:usa [Dataset]. https://usa.museum-digital.org/?t=statistics
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Dec 8, 2020
    Dataset authored and provided by
    museum-digital:usa
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2021 - May 2, 2024
    Area covered
    United States
    Description

    This dataset describes the development of museums, objects, exhibitions, etc. recorded at museum-digital:usa. Detailed statistics are recorded after December 2019. Numbers covering time spans before December 2019 have been generated in retrospect.

  20. m

    Development of publication on museum-digital:california

    • ca.usa.museum-digital.org
    csv, json
    Updated Jan 18, 2021
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    museum-digital:california (2021). Development of publication on museum-digital:california [Dataset]. https://ca.usa.museum-digital.org/index.php?t=statistics
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 18, 2021
    Dataset authored and provided by
    museum-digital:california
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2022 - May 2, 2024
    Area covered
    California
    Description

    This dataset describes the development of museums, objects, exhibitions, etc. recorded at museum-digital:california. Detailed statistics are recorded after December 2019. Numbers covering time spans before December 2019 have been generated in retrospect.

Share
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Email
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Link copied
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J. Albert Bowden II (2024). Museum Universe Data File [Dataset]. https://data.world/albert/museum-universe-data-file

Data from: Museum Universe Data File

The Museum Universe Data File is an evolving list of museums and related organizations in the United States.

Related Article
Explore at:
csv, zipAvailable download formats
Dataset updated
Apr 22, 2024
Dataset provided by
data.world, Inc.
Authors
J. Albert Bowden II
Description

The Museum Universe Data File is an evolving list of museums and related organizations in the United States. It includes basic information on aquariums, arboretums, botanical gardens, art museums, children’s museums, general museums, historic houses and sites, history museums, nature centers, natural history and anthropology museums, planetariums, science and technology centers, specialized museums, and zoos.

References and Resources

Museum Universe Data File FY 2015 Q3 - Most Current as of 2018-11-20
Canonical Source
Interactive Dataset
Data Table
Documentation (PDF)
GeoJSON
CSV Data File (ZIP)
API
JSON

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