The Public Libraries data set aggregates individual library services and finance data to the town level. Public libraries provide free borrowing privileges and services to their patrons and receive financial support from local tax funds. Public libraries may be municipal, which are established by and administrative units of local government, or association, which are not units of town government but receive some public funding. Some towns are served by more than one public library. Library visits include all persons entering a library for any purpose, including persons attending meetings or activities and persons requiring no staff assistance. Circulation counts all library materials of all formats lent out for use outside the library, including renewals. Registered borrowers are all town residents to whom a library has issued membership. Reference questions counts all interactions in which library staff provide information, knowledge, or recommendations to patrons. Town tax appropriation indicates the funds allotted to the library's operation budget from the town. The Adjusted Equalized Net Grand List per Capita (AENGLC) measures town wealth based on property tax and income per capita.

Comprehensive dataset containing 2,169 verified Little Free Library locations in United States with complete contact information, ratings, reviews, and location data.

Point locations of the all Louisville Free public library branches and facilities. View detailed metadata.

The library patronage indicator measures the percentage of the total resident population served by each public library (the percentage of eligible residents that holds an unexpired library card). Ten public libraries and public library districts in Champaign County are included: the Champaign Public Library, the Homer Community Library, the Mahomet Public Library District, the Ogden Rose Public Library, the Philo Public Library District, the Rantoul Public Library, the St. Joseph Township-Swearingen Memorial Library, the Sidney Community Library, the Tolono Public Library District, and the Urbana Free Library. Public libraries often serve as community hubs and offer a number of educational and social opportunities and services for their population served. Registration for and maintenance of a library card is one way a resident can engage in recreation and other community involvement.

In 2021, five of the ten libraries analyzed had residential participation rates between 20 and 30 percent: Champaign Public Library, 27.57 percent; St. Joseph Township-Swearingen Memorial Library, 25.12 percent; Mahomet Public Library District, 22.38 percent; Tolono Public Library District, 21.82 percent; and the Philo Public Library District, 21.3 percent.

The libraries with the greatest percentage of the resident population with unexpired library cards were the Homer Community Library, at 38.96 percent, and the Urbana Free Library at 30 percent. The libraries with the smallest percentage of the resident population with unexpired library cards were the Sidney Community Library, 18.13 percent; Rantoul Public Library, 17.22 percent; and the Ogden Rose Public Library, at 13.85 percent.

All ten public libraries in Champaign County saw the percentage of their resident population with unexpired library cards decrease between 2015 and 2021. It is worth noting that many library buildings were closed during part of 2020 due to the COVID-19 pandemic, and that along with statewide stay-at-home orders may have deterred residents from renewing or obtaining library cards.

The release of the 2020 Census results in 2021 shows that the population in eight of the ten library districts decreased from 2010 to 2020. It is important to note that the population of a library district sometimes differs than the population of the municipality where it is located (e.g., Tolono).

The two library districts that saw a population increase in 2020 were the Champaign Public Library and Tolono Public Library District. However, the number of unexpired library cards in those districts decreased in 2021, so the decrease in the percentage of the population with library cards cannot be explained by population growth.

The two library districts that saw an increase in the percentage of the population with library cards from 2020 to 2021 are the Homer Community Library and Urbana Free Library. The number of unexpired library cards at the Homer Community Library increased from 2020 to 2021, which explains the percentage increase. However, the number of unexpired library cards at the Urbana Free Library decreased from 2020 to 2021, so the percentage increase is due to the library district’s population decrease.

Data was sourced from the Illinois Public Library Annual Report (IPLAR), an annual report from the Illinois State Library and Office of the Illinois Secretary of State. The population data included in the IPLAR dataset is sourced from the 2020 Census. To be consistent with the data source, we have also calculated the percentage of residents with library cards based on the number of cardholders divided by the total 2020 Census population.

Source: Illinois State Library, Office of the Illinois Secretary of State.

The toulouse public library loans dataset

This CSV dataset records annual circulation statistics and bibliographic metadata for prints films in the Toulouse public library collection. It is intended for analysis of lending trends, collection management, patron behavior, and media-use research.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F27942110%2F31c778ffeaaddab9e5a7aaafa9070a3e%2Fbibliothque_toulouse_intrieur.jpg?generation=1760140559752887&alt=media" alt="">
To the moons. Médiathèque José Cabanis, Tolosa.

Genesis

Thanks to an active open data policy, we're lucky to be provided with yearly lists of the 500 most borrowed items in Books, Movies and Music categories since 2011. This dataset is a merged and cleaned version of the 3 original datasets available per category on the Toulouse metropolis open data portal.

Key attributes

• Year of the lending count
• Number of loans that year
• Title publishing information
• Classification and shelving information
• Owning library and spine label
• Intended audience and media type/subtype

Typical use cases: circulation analytics, demand-driven acquisitions, shelf-planning, retrospective collection assessment, visualization of temporal loan patterns.

Field-by-field details

• year

  • What: calendar year for the loan tally.
  • Why: time-series analysis and trend detection.
  • Validation: integer, 4 digits, reasonable range (e.g., 2011–current year).

• nb_loans

  • What: total number of recorded loans for that item in that year.
  • Why: measure of item demand and circulation.
  • Validation: non-negative integer.

• title

  • What: bibliographic title as stored in the catalog.
  • Why: identification and grouping of editions/works.
  • Validation: non-empty Unicode string.

• author

  • What: primary creator (for films: director).
  • Why: attribution, creator-based analytics.
  • Validation: cataloging form; Name and surname are comma separated.

• publisher

  • What: publication/production statement (place, producer, year).
  • Why: disambiguation of editions/formats.
  • Validation: free text.

• classification

  • What: local classification, supposed to be Dewey class.
  • Why: collection-level grouping and analytics.
  • Validation: short code -not consistent.

• library

  • What: owning library.
  • Why: cross-branch comparison of circulation.
  • Validation: controlled short code, uppercase.

• spine_label

  • What: printed call number or spine label used on the physical item.
  • Why: linking catalog records to physical shelving and signage.
  • Validation: may contain spaces, slashes, numbers.

• audience

  • What: intended audience code.
  • Why: filtering by target patron group.
  • Validation: single-letter or double letters codes (E, A, BB).

• media_subtype

  • What: more specific medium information (e.g., DVD).
  • Why: format-based circulation comparisons.
  • Validation: Controlled vocabulary, uppercase.

• media_type

  • What: broad media class (films, books, audio, etc.).
  • Why: high-level aggregation and reporting.
  • Validation: controlled lowercase values.

Details are available in these notes (french)

Usage examples

1. Total loans per year — Aggregate nb_loans by year to see annual circulation trends.

   # Group by year and sum the number of loans
   total_loans_per_year = df.groupby('year')['nb_loans'].sum().reset_index()
   print(total_loans_per_year)
   

2. Most-loaned films at a branch — Filter by library, group by title, sum nb_loans, sort descending.

   branch_code = 'CABANIS' # Example branch code
   

Filter by library, group by title, and sum nb_loans

most_loaned_films = df[df['library'] == branch_code].groupby('title')['nb_loans'].sum().reset_index()

Sort by nb_loans in descending order

most_loaned_films = most_loaned_films.sort_values(by='nb_loans', ascending=False)

print(most_loaned_films) ```

1. Tip:
   • Some items might occur in several different medias/editions — For example, group by media_subtype (e.g., DVD) to compare lending counts.
   • But careful some items share the same title but are distinct (example: there are different Alice in Wonderland movies..).

Validation tips

• Ensure semicolon delimiter is preserved when importing (specify delimiter=';').
• For safety, normalize publisher and author strings for cross-year matching.

Further details

An example exploratory data analysis will be provided soon.

Reproducibility

Data processing details dealing with flaws present th...

Comprehensive dataset containing 6 verified Public library businesses in Free municipal consortium of Enna, Italy with complete contact information, ratings, reviews, and location data.

The library maintains several RSS feeds: Author Events, Free Library Blog, Free Library Podcast, Book Reviews, and Digital Collections. You can also build a custom RSS feed: http://libwww.freelibrary.org/rss/rssmenu.cfm

The Public Libraries Data Set compiles data on individual library services and financial aspects, providing insights into library operations at the town level. This dataset includes both municipal and association libraries, which vary in their funding sources and governance structure.

Public libraries offer free borrowing privileges and a range of services to the public, financed primarily by local tax funds. The dataset contains key metrics such as:

Library Visits: All persons entering the library for any purpose, including attending events or activities and requiring minimal staff assistance.
Circulation: The total count of library materials lent out, including renewals.
Registered Borrowers: Town residents who hold a membership at the library.
Reference Questions: Interactions in which library staff provide assistance, recommendations, or information to patrons.
Town Tax Appropriation: The amount of funds allocated to the library’s operational budget by the town.
Adjusted Equalized Net Grand List per Capita (AENGLC): A measure of town wealth, calculated based on property tax and income per capita, which helps assess the financial capacity of the town to support library services.

This data provides valuable insights into the usage, accessibility, and financial support of public libraries across different towns, facilitating analysis of service reach and fiscal sustainability.

See the recent history of Fletcher Free Library's circulation numbers.

See circulation statistics by month at Fletcher Free, beginning in FY13 and continuing through FY14.

This dataset lists Washington State public library locations that offer wireless internet access (wifi) just outside the building or facility. This external wifi access became more important during the 2020 COVID-19 pandemic, when public library buildings were temporarily closed. The information is based on Washington State Library surveys, correspondence with public library staff, and review of public library websites.

The Chicago Public Library offers free WiFi at all locations. Chicago Public Library consists of the Harold Washington Library Center, Sulzer, Legler and Woodson regional libraries and over 70 neighborhood branches. Many locations experience sporadic closures to perform facilities upgrade or emergency closures due to heating or air conditioning issues, or area power outages.

Comprehensive dataset containing 3 verified Free little library locations in Texas, United States with complete contact information, ratings, reviews, and location data.

The Chicago Public Library offers free WiFi at all locations.

Data and code for research on Little Free Libraries (LFL) in Seattle. These files are archived from a GitHub repository linked in the references field.

The peer reviewed paper is here: https://doi.org/10.1177/09610006221124336

We interviewed stewards from a random sample of LFLs in Seattle, WA and documented the contents of each LFL. The files here support a publication examining what is found in LFLs and how stewards manage their LFLs.

Abstract: In the last decade, book exchanges, most prominently those registered with the Little Free Library® network, have attracted the interest of researchers and media alike. Very little is known about what types of books are available in these book exchanges and how their collections compare to those in public libraries. To address this gap in knowledge, we selected a random sample of 42 Little Free Libraries across eight Seattle neighborhoods to inventory their contents. We interviewed the stewards about their stocking and weeding practices. Our inventory shows that most of the books available in Little Free Libraries are children’s, mystery, suspense, self-help/health, and scifi/fantasy books published in the last 10–30 years. Neighborhoods in our sample ranged in socioeconomic and racial diversity measures, but there were no significant differences in LFL contents related to those measures. We also compared our inventory to the collections of nearby public library branches and found Little Free Libraries offer a complementary rather than competitive selection scenario: books in LFLs are generally older, with a lesser proportion of children’s books and higher proportion of fiction books.

Dataset originally created 03/01/2019 UPDATE: Packaged on 04/18/2019 UPDATE: Edited README on 04/18/2019

I. About this Data Set This data set is a snapshot of work that is ongoing as a collaboration between Kluge Fellow in Digital Studies, Patrick Egan and an intern at the Library of Congress in the American Folklife Center. It contains a combination of metadata from various collections that contain audio recordings of Irish traditional music. The development of this dataset is iterative, and it integrates visualizations that follow the key principles of trust and approachability. The project, entitled, “Connections In Sound” invites you to use and re-use this data.

The text available in the Items dataset is generated from multiple collections of audio material that were discovered at the American Folklife Center. Each instance of a performance was listed and “sets” or medleys of tunes or songs were split into distinct instances in order to allow machines to read each title separately (whilst still noting that they were part of a group of tunes). The work of the intern was then reviewed before publication, and cross-referenced with the tune index at www.irishtune.info. The Items dataset consists of just over 1000 rows, with new data being added daily in a separate file.

The collections dataset contains at least 37 rows of collections that were located by a reference librarian at the American Folklife Center. This search was complemented by searches of the collections by the scholar both on the internet at https://catalog.loc.gov and by using card catalogs.

Updates to these datasets will be announced and published as the project progresses.

II. What’s included? This data set includes:

The Items Dataset – a .CSV containing Media Note, OriginalFormat, On Website, Collection Ref, Missing In Duplication, Collection, Outside Link, Performer, Solo/multiple, Sub-item, type of tune, Tune, Position, Location, State, Date, Notes/Composer, Potential Linked Data, Instrument, Additional Notes, Tune Cleanup. This .CSV is the direct export of the Items Google Spreadsheet

III. How Was It Created? These data were created by a Kluge Fellow in Digital Studies and an intern on this program over the course of three months. By listening, transcribing, reviewing, and tagging audio recordings, these scholars improve access and connect sounds in the American Folklife Collections by focusing on Irish traditional music. Once transcribed and tagged, information in these datasets is reviewed before publication.

IV. Data Set Field Descriptions

IV

a) Collections dataset field descriptions

ItemId – this is the identifier for the collection that was found at the AFC
Viewed – if the collection has been viewed, or accessed in any way by the researchers.
On LOC – whether or not there are audio recordings of this collection available on the Library of Congress website.
On Other Website – if any of the recordings in this collection are available elsewhere on the internet
Original Format – the format that was used during the creation of the recordings that were found within each collection
Search – this indicates the type of search that was performed in order that resulted in locating recordings and collections within the AFC
Collection – the official title for the collection as noted on the Library of Congress website
State – The primary state where recordings from the collection were located
Other States – The secondary states where recordings from the collection were located
Era / Date – The decade or year associated with each collection
Call Number – This is the official reference number that is used to locate the collections, both in the urls used on the Library website, and in the reference search for catalog cards (catalog cards can be searched at this address: https://memory.loc.gov/diglib/ihas/html/afccards/afccards-home.html)
Finding Aid Online? – Whether or not a finding aid is available for this collection on the internet

b) Items dataset field descriptions

id – the specific identification of the instance of a tune, song or dance within the dataset
Media Note – Any information that is included with the original format, such as identification, name of physical item, additional metadata written on the physical item
Original Format – The physical format that was used when recording each specific performance. Note: this field is used in order to calculate the number of physical items that were created in each collection such as 32 wax cylinders.
On Webste? – Whether or not each instance of a performance is available on the Library of Congress website
Collection Ref – The official reference number of the collection
Missing In Duplication – This column marks if parts of some recordings had been made available on other websites, but not all of the recordings were included in duplication (see recordings from Philadelphia Céilí Group on Villanova University website)
Collection – The official title of the collection given by the American Folklife Center
Outside Link – If recordings are available on other websites externally
Performer – The name of the contributor(s)
Solo/multiple – This field is used to calculate the amount of solo performers vs group performers in each collection
Sub-item – In some cases, physical recordings contained extra details, the sub-item column was used to denote these details
Type of item – This column describes each individual item type, as noted by performers and collectors
Item – The item title, as noted by performers and collectors. If an item was not described, it was entered as “unidentified”
Position – The position on the recording (in some cases during playback, audio cassette player counter markers were used)
Location – Local address of the recording
State – The state where the recording was made
Date – The date that the recording was made
Notes/Composer – The stated composer or source of the item recorded
Potential Linked Data – If items may be linked to other recordings or data, this column was used to provide examples of potential relationships between them
Instrument – The instrument(s) that was used during the performance
Additional Notes – Notes about the process of capturing, transcribing and tagging recordings (for researcher and intern collaboration purposes)
Tune Cleanup – This column was used to tidy each item so that it could be read by machines, but also so that spelling mistakes from the Item column could be corrected, and as an aid to preserving iterations of the editing process

V. Rights statement The text in this data set was created by the researcher and intern and can be used in many different ways under creative commons with attribution. All contributions to Connections In Sound are released into the public domain as they are created. Anyone is free to use and re-use this data set in any way they want, provided reference is given to the creators of these datasets.

VI. Creator and Contributor Information

Creator: Connections In Sound

Contributors: Library of Congress Labs

VII. Contact Information Please direct all questions and comments to Patrick Egan via www.twitter.com/drpatrickegan or via his website at www.patrickegan.org. You can also get in touch with the Library of Congress Labs team via LC-Labs@loc.gov.

MaxDIA is a universal platform for analyzing data-independent acquisition proteomics data within the MaxQuant software environment. Using spectral libraries, MaxDIA achieves cutting-edge proteome coverage with significantly better coefficients of variation in protein quantification than other software. MaxDIA is equipped with accurate false discovery rate estimates on both library-to-DIA match and protein levels, also when using whole-proteome predicted spectral libraries. This is the foundation of discovery DIA – a framework for the hypothesis-free analysis of DIA samples without library and with reliable FDR control. MaxDIA performs three- or four-dimensional feature detection of fragment data and scoring of matches is augmented by machine learning on the features of an identification. MaxDIA’s novel bootstrap-DIA workflow performs multiple rounds of matching with increasing quality of recalibration and stringency of matching to the library. Combining MaxDIA with two new technologies, BoxCar acquisition and trapped ion mobility spectrometry, both lead to deep and accurate proteome quantification.

The German Library Statistics (DBS) is the national statistics of the German library system and contains statistical key figures. It includes public libraries, scientific libraries, as well as specialized scientific libraries. More information can be found at DBS. This dataset contains the following information on public libraries in Bavaria in 2022: Number of inhabitants of the library location, number of institutions entry blocked, change in address management, ... including: Branch offices input locked, change in address management, ... including: Entry blocked, change in address management, number of external service points, total audience area (m2), 1. ... of which: Public area of the main office (m2), annual opening hours with library staff, 1. Annual opening hours for Open Library (service-free time), 2. In the reporting year, did you offer additional offers such as click and collect, bring services or similar?, weekly opening hours with library staff, 1st weekly opening hours for Open Library (service-free time) Note: Due to the pandemic, the data for the reporting years 2020/2021/2022 are only comparable to a limited extent with those of previous years!

The data in this set was culled from the Directory of Open Access Journals (DOAJ), the Proquest database Library and Information Science Abstracts (LISA), and a sample of peer reviewed scholarly journals in the field of Library Science. The data include journals that are open access, which was first defined by the Budapest Open Access Initiative: By ‘open access’ to [scholarly] literature, we mean its free availability on the public internet, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of these articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose, without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself. Starting with a batch of 377 journals, we focused our dataset to include journals that met the following criteria: 1) peer-reviewed 2) written in English or abstracted in English, 3) actively published at the time of..., Data Collection In the spring of 2023, researchers gathered 377 scholarly journals whose content covered the work of librarians, archivists, and affiliated information professionals. This data encompassed 221 journals from the Proquest database Library and Information Science Abstracts (LISA), widely regarded as an authoritative database in the field of librarianship. From the Directory of Open Access Journals, we included 144 LIS journals. We also included 12 other journals not indexed in DOAJ or LISA, based on the researchers’ knowledge of existing OA library journals. The data is separated into several different sets representing the different indices and journals we searched. The first set includes journals from the database LISA. The following fields are in this dataset:

Journal: title of the journal

Publisher: title of the publishing company

Open Data Policy: lists whether an open data exists and what the policy is

Country of publication: country where the journal is publ..., , # Open access practices of selected library science journals

The data in this set was culled from the Directory of Open Access Journals (DOAJ), the Proquest database Library and Information Science Abstracts (LISA), and a sample of peer reviewed scholarly journals in the field of Library Science.

The data include journals that are open access, which was first defined by the Budapest Open Access Initiative:Â

By ‘open access’ to [scholarly] literature, we mean its free availability on the public internet, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of these articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose, without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself.

Starting with a batch of 377 journals, we focused our dataset to include journals that met the following criteria: 1) peer-reviewed 2) written in Engli...

Demographic and asset information of public libraries Update Frequency: Annual