Chinese Ebook Databases Market Outlook

The global Chinese Ebook Databases market size was valued at approximately USD 1.5 billion in 2023 and is projected to reach USD 4.8 billion by 2032, growing at a CAGR of 13.5% during the forecast period. One of the significant growth factors driving this market is the rising adoption of digital learning resources across various educational and corporate sectors.

One of the primary growth drivers for the Chinese Ebook Databases market is the increasing emphasis on digitalization in education. Educational institutions are progressively transitioning from traditional textbooks to digital resources to facilitate remote learning and provide students with easy access to vast libraries of information. This transition is further accelerated by governmental initiatives promoting digital literacy and the integration of advanced technologies in classrooms. Additionally, the growing penetration of the internet and the increasing use of smartphones and tablets among students and educators are creating a conducive environment for the expansion of ebook databases.

Another significant growth factor is the burgeoning demand for specialized and technical content in corporate settings. Corporations are increasingly relying on digital libraries to provide their employees with access to up-to-date technical manuals, industry reports, and other professional resources. These digital repositories not only enhance employee productivity but also help in maintaining an up-to-date knowledge base within organizations. Moreover, the flexibility offered by digital databases, which allows employees to access information anytime and anywhere, is highly valued in today’s dynamic business environment.

The surge in the popularity of recreational reading in digital formats is also contributing to the growth of the ebook databases market. With the advent of e-readers and the convenience of accessing a wide range of fiction and non-fiction books online, individuals are increasingly gravitating towards digital formats. Subscription-based models and pay-per-download options provide convenient and cost-effective solutions for avid readers, further driving the market growth. Furthermore, the availability of diverse genres and the ease of discovering new authors and titles in digital libraries are attracting a broader audience base.

From a regional perspective, Asia Pacific, particularly China, is the largest market for ebook databases. The region's robust growth can be attributed to the widespread adoption of digital technologies, high internet penetration rates, and supportive government policies. North America and Europe are also significant markets due to the mature digital infrastructure and the presence of numerous educational and corporate institutions. However, emerging markets in Latin America and the Middle East & Africa are expected to witness considerable growth in the coming years, driven by increasing investments in digital literacy and educational infrastructure.

Type Analysis

The Chinese Ebook Databases market can be segmented by type into Subscription-Based, Pay-Per-Download, and Free Access models. The Subscription-Based model is highly favored among users for its cost-effectiveness and convenience. Subscribers typically gain unlimited access to a vast repository of ebooks for a fixed monthly or annual fee. This model is particularly popular among educational institutions and libraries which require continuous and broad access to digital resources. Additionally, the subscription model ensures a steady revenue stream for service providers, making it a sustainable business model in the long run.

Pay-Per-Download is another prominent segment within the ebook databases market. This model offers flexibility to users who prefer to pay only for the specific content they need. It is particularly appealing to individual users and corporate clients who require occasional access to specialized materials. The pay-per-download model is beneficial for users who do not have a high frequency of usage but still need access to premium content. This segment is seeing growth driven by professionals and researchers who seek high-quality, credible sources for their work without committing to a subscription.

Free Access models are predominantly supported by advertisements and public funding. These databases are often used by libraries, educational institutions, and individual users who may not have the budget for paid subscriptions. While the free access model may not generate direct revenue, it plays a crucial role in d

READ is EPA's authoritative source for information about Agency information resources, including applications/systems, datasets and models. READ is one component of the System of Registries (SoR).

This database is not only comprehensive but also linguistically accurate. It is based on solid principles of Cantonese phonology and semantics, and takes into account the phenomena of polyphony as well as tone change, which is unpredictable and requires manual proofreading. It covers 300,000 entries, including 80,000 readings and romanized variants for the 13,000 Big Five single characters.

soilDB is one of the Algorithms for Quantitative Pedology (AQP) suite of R packages, and comprises a collection of functions for reading data from USDA-NCSS (National Cooperative Soil Survey) soil databases including SoilWeb, Series Extent Explorer, and Soil Data Explorer. This package provides methods for extracting soils information from local PedonPC and AK Site databases (MS Access format), local NASIS databases (MS SQL Server), and the SDA webservice. Currently USDA-NCSS data sources are supported, however, there are plans to develop interfaces to outside systems such as the Global Soil Mapping project. Resources in this dataset:Resource Title: Website pointer to soilDB: Soil Database Interface. File Name: Web Page, url: https://cran.r-project.org/web/packages/soilDB/index.html

This is a review of The UK Reading Experience Database.

The Excel file contains the filtered data records of the map-reading study of the Research Group on Experimental Cartography at the Eötvös Loránd University (ktk.elte.hu). The data collection started in the autumn of 2015 and lasted until April 2022. The file contains three sheets: demographic_questions; correct_answers; map_reading_database. The first two sheets contain the questions asked, the answer codes, and the correct answers. The third one has 511 records, which is the result of a filtering of the original 805 fills. The filtering excluded the unfinished tests, and the ones with fill time below 2.5 minutes and above 15 minutes.

The rEGEN-B (rrn operons Extracted from GENomes of Bacteria) database is dedicated to the ribosomal operon sequences of bacteria. The database contains 523,869 sequences, representing 16,217 species, with an average length of 4,580 bp. The database was filtered according to “high-confidence curation” criteria that were defined: (i) the sequences in the database only come from genomes with confident assembly levels (i.e. “chromosome” or “complete genome” status, but not “contig” nor “scaffold”), (ii) only sufficiently recent genomes were retained for operon sequence extraction (nothing before 2005), and (iii) the database was curated using the DB4Q2 pipeline (Dubois et al., 2022) to discard low-quality and misidentified sequences. To enable users with lower computational capabilities to utilize the rEGEN-B database in a more efficient way, a lighter version of the database has also been compiled by extracting only the first copy of the rrn operon in each genome (see the “uniq” label in the database files). This lighter database contains 115,032 rrn opeorn sequences.Database update (2025-01-15): rEGEN-B: 542,371 sequences, 15,903 speciesrEGEN-B_uniq: 115,727 sequences, 15,903 speciesThe rEGEN-B database was constructed as part of the PRONAME pipeline, which has been developed to process Nanopore metabarcoding data and to significantly increase its accuracy and usability. Thanks to an innovative approach combining different quality filtering steps, read clustering, error-correction with a tool specifically dedicated to Nanopore data and the valorization of duplex reads, the generated consensus sequences display at least 99.5% accuracy with default settings.Please refer to the project GitHub repository for detailed information: https://github.com/benn888/PRONAMEDubois, B., Debode, F., Hautier, L., Hulin, J., Martin, G. S., Delvaux, A., et al. (2022). A detailed workflow to develop QIIME2-formatted reference databases for taxonomic analysis of DNA metabarcoding data. BMC Genom Data 23, 53. doi: 10.1186/s12863-022-01067-5

ChIP-Atlas is the database and its web interface to provide the result of analysis processed from the entire ChIP-Seq data archived in Sequence Read Archive. We have curated metadata described by original data submitter to enable further data analysis. See details here: https://github.com/inutano/chip-atlas/wiki

Date of last update: 6 May 2014

As part of the **thematic debate on the opening of public health data **launched by the Ministry of Social Affairs and Health in November 2013, the Etalab mission carried out the most comprehensive census of existing public databases and datasets in the field of health, and today publishes this mapping. More than 260 databases or datasets have been identified.

Each database identified has been evaluated on its current “opening level” against 4 criteria: freedom of access (who has access to the data?), the cost of access (is the data available free of charge?), the format of availability (is the data offered in formats facilitating re-use?), the legal conditions for re-use (is the re-use of data explicitly allowed?)

**Two granularity levels ** are also identified for each database or dataset: the granular level (data at the finest level that can be obtained depending on the origin of the data and the collection system), and the aggregate level (data obtained by grouping granular data according to one or more common characteristics).

We strongly encourage you to consult the Mapping Reading Guide, published below as a resource associated with the dataset. This document presents in particular the two levels of typology used.

If you notice an error or omission in the file, please report it to us using the red icon below.

The BABEL Polish Database is a speech database that was produced by a research consortium funded by the European Union under the COPERNICUS programme (COPERNICUS Project 1304). The project began in March 1995 and was completed in December 1998. The objective was to create a database of languages of Central and Eastern Europe in parallel to the EUROM1 databases produced by the SAM Project (funded by the ESPRIT programme). The BABEL consortium included six partners from Central and Eastern Europe (who had the major responsibility of planning and carrying out the recording and labelling) and six from Western Europe (whose role was mainly to advise and in some cases to act as host to BABEL researchers). The five databases collected within the project concern the Bulgarian, Estonian, Hungarian, Polish, and Romanian languages.The Polish database consists of the basic "common" set which is:•The Many Talker Set: 30 males, 30 females; each to read 100 numbers, 3 connected passages and 5 “filler” sentences (or 4 passages if no fillers needed).•The Few Talker Set: 5 males, 5 females, normally selected from the above group: each to read 5 blocks of 100 numbers, 15 passages and 25 filler sentences ( or 20 passages if fillers not needed), and 5 lists of syllables.•The Very Few Talker Set: 1 male, 1 female, selected from many-talker set: 5 blocks of syllables, with and without carrier sentences.

Comprehensive dataset of 1 Reading rooms in Spain as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This database had its inception in 1991 with the publication of Reading Development in a Second Language (Bernhardt, 1991). Influenced by Guthrie, Seifert, and Mosberg (1983), the 1991 database was constructed from a review of an array of journals frequently referenced by teachers and researchers in the English-speaking world as well as from a set of edited volumes. It resulted in a collation of 121 published research studies. Nine thematic categories resulted: word recognition; background knowledge factors; text-structure analyses; oral-aural factors; syntactic features; cross-lingual processing strategies; metacognitive strategies; testing methods; and instruction. Within each of the nine categories, number of subjects as well as the language of focus; independent variables; dependent variables; and findings were distilled.

Over the years, several expansions of the database have been conducted. By 2011, 25 journals had been explored. These include The Modern Language Journal, Applied Linguistics, TESOL Quarterly, Foreign Language Annals, Language Learning, Reading Research Quarterly, Journal of Literacy Behavior, NABE Journal, Die Unterrichtspraxis, Hispania, French Review, ADFL Bulletin, CALICO Journal, AERJ, Journal of Research in Reading, Research and Reading Instruction, Reading and Writing, Studies in Second Language Acquisition, Second Language Research, Journal of Adolescent & Adult Literacy, Reading Teacher, Reading Improvement, RELC Journal, Reading in a Foreign Language, and The Reading Matrix.. Searching through the years 1998-2008 yielded over 200 studies for analysis and several additional journal titles (The Language Learning Journal, Applied Psycholinguistics, Scientific Studies of Reading, and Reading Psychology). The resulting spreadsheet includes a total of 776 individual articles as of 2019. Each article is coded according to general theme of the research; number of subjects, languages, and tasks. A brief list of findings is included.

The Hebrew Speecon database is divided into 2 sets: 1. The first set comprises the recordings of 550 adult Hebrew speakers (273 males, 277 females), recorded over 4 microphone channels in 4 recording environments (office, entertainment, car, public place). 2. The second set comprises the recordings of 50 child Hebrew speakers (24 boys, 26 girls), recorded over 4 microphone channels in 1 recording environment (children room). This database is partitioned into 20 DVDs (first set) and 3 DVDs (second set).The speech databases made within the Speecon project were validated by SPEX, the Netherlands, to assess their compliance with the Speecon format and content specifications. Each of the four speech channels is recorded at 16 kHz, 16 bit, uncompressed unsigned integers in Intel format (lo-hi byte order). To each signal file corresponds an ASCII SAM label file which contains the relevant descriptive information.Each speaker uttered the following items: * Calibration data: o 6 noise recordings o The “silence word” recording * Free spontaneous items (adults only): o 5 minutes (session time) of free spontaneous, rich context items (story telling) (an open number of spontaneous topics out of a set of 30 topics) * 17 Elicited spontaneous items (adults only): o 3 dates, 2 times, 3 proper names, 2 city name, 1 letter sequence, 2 answers to questions, 3 telephone numbers, 1 language * Read speech: o 30 phonetically rich sentences uttered by adults and 60 uttered by children o 5 phonetically rich words (adults only) o 4 isolated digits o 1 isolated digit sequence o 4 connected digit sequences o 1 telephone number o 3 natural numbers o 1 money amount o 2 time phrases (T1 : analogue, T2 : digital) o 3 dates (D1 : analogue, D2 : relative and general date, D3 : digital) o 3 letter sequences o 1 proper name o 2 city or street names o 2 questions o 2 special keyboard characters o 1 Web address o 1 email address o 208 application specific words and phrases per session (adults) o 74 toy commands and 48 general commands (children) The following age distribution has been obtained: * Adults: 313 speakers are between 15 and 30, 174 speakers are between 31 and 45, 63 speakers are over 46. * Children: 16 speakers are between 8 and 10, 34 speakers are between 11 and 14. A pronunciation lexicon with a phonemic transcription in SAMPA is also included.

Comprehensive dataset of 1 Reading rooms in Illinois, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This repository is a re-analysis of the NCBI Sequence Read Archive (SRA), December 2023 freeze, to make it more accessible. The SRA is an open access database of biological sequences, containing raw data from high-throughput DNA and RNA sequencing platforms. It is the largest database of public DNA sequences worldwide, containing a wealth of genomic diversity across all living organisms. This repository contains Logan, a set of compressed FASTA files for all individual SRA accessions, in the form of unitigs and contigs. Borrowing methods from the realm of genome assembly, unitigs preserve nearly all the information present in the original sample, whereas contigs get rid of variations to increase sequence lengths. Altogether, Logan recapitulates the information present in the SRA while making it an order of magnitude more accessible due to 20-100x smaller size and higher quality genomic content.

Will all children be able to read by 2030? The ability to read with comprehension is a foundational skill that every education system around the world strives to impart by late in primary school—generally by age 10. Moreover, attaining the ambitious Sustainable Development Goals (SDGs) in education requires first achieving this basic building block, and so does improving countries’ Human Capital Index scores. Yet past evidence from many low- and middle-income countries has shown that many children are not learning to read with comprehension in primary school. To understand the global picture better, we have worked with the UNESCO Institute for Statistics (UIS) to assemble a new dataset with the most comprehensive measures of this foundational skill yet developed, by linking together data from credible cross-national and national assessments of reading. This dataset covers 115 countries, accounting for 81% of children worldwide and 79% of children in low- and middle-income countries. The new data allow us to estimate the reading proficiency of late-primary-age children, and we also provide what are among the first estimates (and the most comprehensive, for low- and middle-income countries) of the historical rate of progress in improving reading proficiency globally (for the 2000-17 period). The results show that 53% of all children in low- and middle-income countries cannot read age-appropriate material by age 10, and that at current rates of improvement, this “learning poverty” rate will have fallen only to 43% by 2030. Indeed, we find that the goal of all children reading by 2030 will be attainable only with historically unprecedented progress. The high rate of “learning poverty” and slow progress in low- and middle-income countries is an early warning that all the ambitious SDG targets in education (and likely of social progress) are at risk. Based on this evidence, we suggest a new medium-term target to guide the World Bank’s work in low- and middle- income countries: cut learning poverty by at least half by 2030. This target, together with improved measurement of learning, can be as an evidence-based tool to accelerate progress to get all children reading by age 10.

For further details, please refer to https://thedocs.worldbank.org/en/doc/e52f55322528903b27f1b7e61238e416-0200022022/original/Learning-poverty-report-2022-06-21-final-V7-0-conferenceEdition.pdf

Artur 1.0 is a speech database designed for the needs of automatic speech recognition for the Slovenian language. The database includes 1,067 hours of speech. 884 hours are transcribed, while the remaining 183 hours are recordings only. This repository entry includes audio files only, the transcriptions are available on http://hdl.handle.net/11356/1772.

The data are structured as follows: (1) Artur-B, read speech, 573 hours in total. It includes: (1a) Artur-B-Brani, 485 hours: Readings of sentences which were pre-selected from a 10% increment in the Gigafida 2.0 corpus. The sentences were chosen in such a way that they reflect the natural or the actual distribution of triphones in the words. They were distributed between 1,000 speakers, so that we recorded approx. 30 min in read form from each speaker. The speakers were balanced according to gender, age, region, and a small proportion of speakers were non-native speakers of Slovene. Each sentence is its own audio file and has a corresponding transcription file. (1b) Artur-B-Crkovani, 10 hours: Spellings. Speakers were asked to spell abbreviations and personal names and surnames, all chosen so that all Slovene letters were covered, plus the most common foreign letters. (1c) Artur-B-Studio, 51 hours: Designed for the development of speech synthesis. The sentences were read in a studio by a single speaker. Each sentence is its own audio file and has a corresponding transcription file. (1d) Artur-B-Izloceno, 27 hours: The recordings include different types of errors, typically, incorrect reading of sentences or a noisy environment.

(2) Artur-J, public speech, 62 hours in total. It includes: (2a) Artur-J-Splosni, 62 hours: media recordings, online recordings of conferences, workshops, education videos, etc.

(3) Artur-N, private speech, 74 hours in total. It includes: (3a) Artur-N-Obrazi, 6 hours: Speakers were asked to describe faces on pictures. Designed for a face-description domain-specific speech recognition. (3b) Artur-N-PDom, 7 hours: Speakers were asked to read pre-written sentences, as well as to express instructions for a potential smart-home system freely. Designed for a smart-home domain-specific speech recognition. (3c) Artur-N-Prosti, 61 hours: Monologues and dialogues between two persons, recorded for the purposes of the Artur database creation. Speakers were asked to conversate or explain freely on casual topics.

(4) Artur-P, parliamentary speech, 201 hours in total. It includes: (4a) Artur-P-SejeDZ, 201 hours: Speech from the Slovene National Assembly.

Further information on the database are available in the Artur-DOC file, which is part of this repository entry.

A graphical analysis tool that finds all open reading frames in a user's sequence or in a sequence already in the database.

FULL-malaria is a database for a full-length-enriched cDNA library from the human malaria parasite Plasmodium falciparum. Because of its medical importance, this organism is the first target for genome sequencing of a eukaryotic pathogen; the sequences of two of its 14 chromosomes have already been determined. However, for the full exploitation of this rapidly accumulating information, correct identification of the genes and study of their expression are essential. Using the oligo-capping method, this database has produced a full-length-enriched cDNA library from erythrocytic stage parasites and performed one-pass reading. The database consists of nucleotide sequences of 2490 random clones that include 390 (16%) known malaria genes according to BLASTN analysis of the nr-nt database in GenBank; these represent 98 genes, and the clones for 48 of these genes contain the complete protein-coding sequence (49%). On the other hand, comparisons with the complete chromosome 2 sequence revealed that 35 of 210 predicted genes are expressed, and in addition led to detection of three new gene candidates that were not previously known. In total, 19 of these 38 clones (50%) were full-length. From these observations, it is expected that the database contains approximately 1000 genes, including 500 full-length clones. It should be an invaluable resource for the development of vaccines and novel drugs. Full-malaria has been updated in at least three points. (i) 8934 sequences generated from the addition of new libraries added so that the database collection of 11,424 full-length cDNAs covers 1375 (25%) of the estimated number of the entire 5409 parasite genes. (ii) All of its full-length cDNAs and GenBank EST sequences were mapped to genomic sequences together with publicly available annotated genes and other predictions. This precisely determined the gene structures and positions of the transcriptional start sites, which are indispensable for the identification of the promoter regions. (iii) A total of 4257 cDNA sequences were newly generated from murine malaria parasites, Plasmodium yoelii yoelii. The genome/cDNA sequences were compared at both nucleotide and amino acid levels, with those of P.falciparum, and the sequence alignment for each gene is presented graphically. This part of the database serves as a versatile platform to elucidate the function(s) of malaria genes by a comparative genomic approach. It should also be noted that all of the cDNAs represented in this database are supported by physical cDNA clones, which are publicly and freely available, and should serve as indispensable resources to explore functional analyses of malaria genomes. Sponsors: This database has been constructed and maintained by a Grant-in-Aid for Publication of Scientific Research Results from the Japan Society for the Promotion of Science (JSPS). This work was also supported by a Special Coordination Funds for Promoting Science and Technology from the Science and Technology Agency of Japan (STA) and a Grant-in-Aid for Scientific Research on Priority Areas from the Ministry of Education, Science, Sports and Culture of Japan.