Contains resident demographic data at a summary level. The Resident Data Book is compiled to serve as an information source for queries involving resident demographic as well as a source of data for internal analysis. Statistics are compiled via HUD mandated annual income reviews involving NYCHA Staff and residents. Data is then aggregated and compiled by development. Each record pertains to a single public housing development.

This dataset is about book subjects and is filtered where the books is Information rights : a practitioner's guide to data protection, freedom of information and other information rights, featuring 10 columns including authors, average publication date, book publishers, book subject, and books. The preview is ordered by number of books (descending).

Graph and download economic data for Employment for Information: Book Publishers (NAICS 51113) in the United States (IPUJN51113W200000000) from 1987 to 2023 about book, printing, information, NAICS, IP, employment, and USA.

This statistic displays data on consumer and educational book publishing revenue worldwide from 2008 to 2011 as well as a forecast until 2017, broken down by platform. According to PwC, electronic book publishing revenue is projected to grow from 5.98 billion U.S. dollars in 2011 to 22.71 billion U.S. dollars in 2017. In 2015, 6.1 million U.S. dollar was generated with e-book sales on the Humble Bundle platform.

This dataset is about books and is filtered where the book is Digital data collection and information privacy law, featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).

Abstract copyright UK Data Service and data collection copyright owner.

The text of Domesday Book is notoriously ambiguous, its array of social and economic statistics hitherto inaccessible, and the majority of individuals and many places unidentified. This electronic edition aims to make Domesday Book both more accessible and more intelligible by presenting its contents in a variety of forms: a translation, databases of names, places and statistics, and a detailed scholarly commentary on all matters of interest or obscurity in the text. All forms of the data are cross-referenced, and all can be used with standard applications.

The translation of Great Domesday was transcribed from the Phillimore edition (see data sources for this project) into an electronic format by typists working on a government employment scheme during the early 1980s, then enhanced by the addition of extensive coding under an ESRC-funded research project later in the decade. The comparable transcription and coding of Little Domesday was undertaken by Dr Natasha Hodgson for this project, while the Phillimore notes were scanned, edited, enlarged and enhanced by Dr and Mrs Thorn, also for this project. The databases of names and places were transcribed into electronic format from the original printed Phillimore indexes, then published as national indexes by Phillimore (1992). The statistics database is original to this project, though compiled over a long period.

In the second edition, some errors have been corrected, improvements made to the consistency of the translation and the name-stock, and a substantial file (identifying_domesday_landowners.rtf) identifying landowners named only by their Christian names in Domesday Book has been added.

For further information about the project and Domesday Book please refer to the project web site, where an alternative download possibility for the data is available.
Main Topics:

The Domesday Book (1086) contains the most comprehensive array of social and economic data for the pre-industrial world from anywhere in Europe, possibly from the planet. It is a major source for the disciplines of archaeology, geography, genealogy, law, linguistics, onomastics, palaeography, philology, prosopography, and topography; for several of these disciplines, it is the major source. The history of majority of towns and villages begins with Domesday Book, which includes a vast amount of data on names, places, individuals, taxation, land use, population groups, estate values, legal matters, and a wide variety of economic and agricultural resources: mills, meadow, woodland, pasture, salt-pans, fisheries, etc. Only a minute amount of such data has survived from the first six centuries of English history and little became available for another two centuries, and even then never as a comprehensive national survey.

Data showing how many books were sold in 2023 revealed that the printed book market remains healthy: a total of 767.36 million units were sold that year among outlets which reported to the source. Whilst this marked a small drop from the previous year, the figure still remains higher than in the years prior to 2021. Trade paperbacks remained the dominant format.

Book sales statistics Looking at book sales by year, 2005 to 2010 were the most lucrative for the printed book market, with well over 700 million units sold annually during that five-year period. After dropping below 600 million in 2012, gradual and consistent increases can be seen each year, with the exception of between the years 2018 and 2019. For bookstores though, how many books are sold each year depends on the success of key months across a twelve-month period.

Bookstore sales in the United States are at their highest in December, January, and August, but figures for December are consistently higher than other months. Books are popular holiday gifts, with around 30 to 40 percent of consumers responding to annual surveys in each year from 2012 to 2020 saying that they planned to purchase books as presents during the festive season.

Book reading and writing detailed information.....

The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of book publishers (NAICS 511130), annual, for five years of data.

The Books3 dataset emerged as part of a broader effort to train AI models for natural language understanding and generation. It comprises an extensive collection of digitized books, spanning from classics to contemporary works. These books were gathered from various sources, including libraries and online repositories². Here are some key details about the Books3 dataset:

Size: The dataset contains approximately 196,640 books in plain text format. Content: These books cover a wide range of topics and genres, making it a diverse collection. Creators: The dataset is attributed to Shawn Presser, a computer researcher. Purpose: Books3 was intended for training language models, particularly for language modeling tasks. Controversy: Unfortunately, the Books3 dataset faced controversy due to unauthorized use. It included works by renowned authors such as Stephen King, Min Jin Lee, and Zadie Smith⁴. Defunct Status: As of now, the dataset is defunct and no longer accessible due to reported copyright infringement¹.

(1) The Books3 Dataset: Controversy Surrounds Unauthorized Use in AI .... https://literaryagentmarkgottlieb.com/blog/the-books3-dataset-controversy-surrounds-unauthorized-use-in-ai-training. (2) Books3 dataset, used to train AI, contains works stolen from .... https://www.straitstimes.com/life/arts/books3-dataset-used-to-train-ai-contains-works-stolen-from-singaporean-authors. (3) the_pile_books3 · Datasets at Hugging Face. https://huggingface.co/datasets/the_pile_books3. (4) Anti-piracy group shuts down Books3, a popular dataset for AI models. https://interestingengineering.com/innovation/anti-piracy-group-shuts-down-books3-a-popular-dataset-for-ai-models. (5) AIAAIC - Books3 AI training dataset. https://www.aiaaic.org/aiaaic-repository/ai-algorithmic-and-automation-incidents/books3-ai-training-dataset.

Captures information to aid in the documenting, analyzing and adjudicating of the disability hearing level cases.

Publishing for Children explores how Angus and Robertson, a leading Australian bookseller and publishing house, successfully pioneered a tradition of local children’s publishing in the early twentieth-century.

The project adopts a mixed-methods approach, incorporating historical bibliometric data alongside close qualitative and distant quantitative analysis of archival documents. In particular, it draws on underutilised materials in the remarkable Angus & Robertson Archive, housed in the Mitchell Library at the State Library of New South Wales.

The website (https://dhrg.uws.edu.au/publishing-for-children) provides access to three datasets that were created from the original archival and bibliometric research undertaken for this project. These datasets, totalling over 74,000 cells of data, directly supplement the written thesis but also contain significantly more information that could be used to answer innumerable future research questions.

Historical Bibliometrics
This dataset contains historical bibliometric data for the 71 Australian children’s books published by Angus & Robertson from 1897 to 1933.

Correspondence
This dataset contains details of 1351 correspondence files between Angus & Robertson and the authors of their early children’s books.

Book Reviews
This dataset contains details of almost 4000 domestic and international reviews of Angus & Robertson’s children’s books. This dataset has also been geocoded and mapped. The map is available at https://rebekahward.github.io/leaflet-maps-with-google-sheets/

Books and Newspapers (Public Libraries, University and College's Libraries, Newspapers and Magazines)Source: Ministry of Education, Higher Education Council, Ministry of Information

The 2005 Federal Campus-Based Programs Data Book provides comprehensive program funding information for these federal student aid programs: Federal Supplemental Educational Opportunity Grants, Federal Work-Study, and Federal Perkins Loans. Program allocation data is presented for award year 2005-2006. Fiscal and Recipient data are presented for award year 2003-2004. This is the home page for the data book.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

This dataset is about book subjects and is filtered where the books is The information effect : measuring the impact of information on development. It has 10 columns such as authors, average publication date, book publishers, book subject, and books. The data is ordered by earliest publication date (descending).

United States ASS: Exp: Info: Publishing: Book data was reported at 17.269 USD bn in 2016. This records a decrease from the previous number of 17.660 USD bn for 2015. United States ASS: Exp: Info: Publishing: Book data is updated yearly, averaging 16.623 USD bn from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 17.847 USD bn in 2014 and a record low of 15.979 USD bn in 2006. United States ASS: Exp: Info: Publishing: Book data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.H021: Annual Services Survey: Employer Firms Expense.

Dataset

This dataset was created by ShreeyaSapkotaa

Contents

Bibliographic information.........................

Access to the Washington State Criminal Justice Data Book. For additional information about the data available and an online query system, click https://sac.ofm.wa.gov/data