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...

The global academic research database market is booming, projected to hit $388.2 million in 2025, with a robust CAGR driving growth. This in-depth analysis explores market size, key players (Scopus, Web of Science, PubMed), and future trends shaping this vital sector for researchers and educators.

Database providing access to quality controlled Open Access Journals. For a journal to be included it should exercise quality control on submitted papers through an editor, editorial board and/or a peer-review system. It is not be limited to particular languages or subject areas. Offering free online access to high quality full text content, plus excellent search tools, the portal enables researchers to find, use and re-use a vast range of materials with ease. The content of DOAJ will be even more visible and disseminated through this portal. The aim of the Directory is to increase the visibility and ease of use of open access scientific and scholarly journals thereby promoting their increased usage and impact. As of April 2014, DOAJ has 9,709 journals, 5,624 journals searchable at article level, 133 Countries and 1,600,991 articles. The database may be browsed by title or subject, or searched through the interface to for journals or articles.

Discover the booming academic research databases market! This comprehensive analysis reveals key trends, growth drivers, and leading players (Scopus, Web of Science, PubMed, etc.) impacting this multi-billion dollar industry from 2019-2033. Explore market size, CAGR, regional insights, and future forecasts.

The global academic research databases market is booming, projected to reach $259.3 million in 2025, with a CAGR of 5.9% through 2033. Discover key drivers, trends, and regional insights from this comprehensive market analysis covering Scopus, Web of Science, and more. Explore market segmentation by access type and user application.

The dataset shows the document types of open access items indexed in the database of Open-Access-Netzwerk. The dataset is presented in csv.

While art is omnipresent in human history, the neural mechanisms of how we perceive, value and differentiate art has only begun to be explored. Functional magnetic resonance imaging (fMRI) studies suggested that art acts as secondary reward, involving brain activity in the ventral striatum and prefrontal cortices similar to primary rewards such as food. However, potential similarities or unique characteristics of art-related neuroscience (or neuroesthetics) remain elusive, also because of a lack of adequate experimental tools: the available collections of art stimuli often lack standard image definitions and normative ratings. Therefore, we here provide a large set of well-characterized, novel art images for use as visual stimuli in psychological and neuroimaging research. The stimuli were created using a deep learning algorithm that applied different styles of popular paintings (based on artists such as Klimt or Hundertwasser) on ordinary animal, plant and object images which were drawn from established visual stimuli databases. The novel stimuli represent mundane items with artistic properties with proposed reduced dimensionality and complexity compared to paintings. In total, 2,332 novel stimuli are available open access as “art.pics” database at https://osf.io/BTWNQ/ with standard image characteristics that are comparable to other common visual stimuli material in terms of size, variable color distribution, complexity, intensity and valence, measured by image software analysis and by ratings derived from a human experimental validation study [n = 1,296 (684f), age 30.2 ± 8.8 y.o.]. The experimental validation study further showed that the art.pics elicit a broad and significantly different variation in subjective value ratings (i.e., liking and wanting) as well as in recognizability, arousal and valence across different art styles and categories. Researchers are encouraged to study the perception, processing and valuation of art images based on the art.pics database which also enables real reward remuneration of the rated stimuli (as art prints) and a direct comparison to other rewards from e.g., food or money.Key Messages: We provide an open access, validated and large set of novel stimuli (n = 2,332) of standardized art images including normative rating data to be used for experimental research. Reward remuneration in experimental settings can be easily implemented for the art.pics by e.g., handing out the stimuli to the participants (as print on premium paper or in a digital format), as done in the presented validation task. Experimental validation showed that the art.pics’ images elicit a broad and significantly different variation in subjective value ratings (i.e., liking, wanting) across different art styles and categories, while size, color and complexity characteristics remained comparable to other visual stimuli databases.

ScienceCentral is a free or open access full-text archive of scientific society journal literature hosted by the Korean Federation of Science and Technology Societies. It was launched in December 2013. We analyzed the number of articles deposited, page views by period, country of visitors, number of visitors, and entry point of visits. Descriptive statistics were presented. We also hypothesized that visitors accessed ScienceCentral mostly through Google and Google Scholar since ScienceCentral allows Googlebot to index it. The number of deposited articles was 19,419 from 124 journals in December 2016. The number of page views per month was 20,228 in December 2016. The top countries of visitors were South Korea (39.9%), the United States (13.26%), India (4.2%), China (3.4%), and Russia (3.2%). The average number of page views per article a month in December 2016 was 1.0. Google and Google Scholar were powerful referral sites to ScienceCentral. Except for direct visits to ScienceCentral, seven out of the top ten access sites to ScienceCentral were Google or Google Scholar sites from a variety of countries. Although the number of visitors and page views has increased continuously, the average number of page views per article a month has not increased.

United States agricultural researchers have many options for making their data available online. This dataset aggregates the primary sources of ag-related data and determines where researchers are likely to deposit their agricultural data. These data serve as both a current landscape analysis and also as a baseline for future studies of ag research data. Purpose As sources of agricultural data become more numerous and disparate, and collaboration and open data become more expected if not required, this research provides a landscape inventory of online sources of open agricultural data. An inventory of current agricultural data sharing options will help assess how the Ag Data Commons, a platform for USDA-funded data cataloging and publication, can best support data-intensive and multi-disciplinary research. It will also help agricultural librarians assist their researchers in data management and publication. The goals of this study were to

establish where agricultural researchers in the United States-- land grant and USDA researchers, primarily ARS, NRCS, USFS and other agencies -- currently publish their data, including general research data repositories, domain-specific databases, and the top journals compare how much data is in institutional vs. domain-specific vs. federal platforms determine which repositories are recommended by top journals that require or recommend the publication of supporting data ascertain where researchers not affiliated with funding or initiatives possessing a designated open data repository can publish data

Approach The National Agricultural Library team focused on Agricultural Research Service (ARS), Natural Resources Conservation Service (NRCS), and United States Forest Service (USFS) style research data, rather than ag economics, statistics, and social sciences data. To find domain-specific, general, institutional, and federal agency repositories and databases that are open to US research submissions and have some amount of ag data, resources including re3data, libguides, and ARS lists were analysed. Primarily environmental or public health databases were not included, but places where ag grantees would publish data were considered.
Search methods We first compiled a list of known domain specific USDA / ARS datasets / databases that are represented in the Ag Data Commons, including ARS Image Gallery, ARS Nutrition Databases (sub-components), SoyBase, PeanutBase, National Fungus Collection, i5K Workspace @ NAL, and GRIN. We then searched using search engines such as Bing and Google for non-USDA / federal ag databases, using Boolean variations of “agricultural data” /“ag data” / “scientific data” + NOT + USDA (to filter out the federal / USDA results). Most of these results were domain specific, though some contained a mix of data subjects. We then used search engines such as Bing and Google to find top agricultural university repositories using variations of “agriculture”, “ag data” and “university” to find schools with agriculture programs. Using that list of universities, we searched each university web site to see if their institution had a repository for their unique, independent research data if not apparent in the initial web browser search. We found both ag specific university repositories and general university repositories that housed a portion of agricultural data. Ag specific university repositories are included in the list of domain-specific repositories. Results included Columbia University – International Research Institute for Climate and Society, UC Davis – Cover Crops Database, etc. If a general university repository existed, we determined whether that repository could filter to include only data results after our chosen ag search terms were applied. General university databases that contain ag data included Colorado State University Digital Collections, University of Michigan ICPSR (Inter-university Consortium for Political and Social Research), and University of Minnesota DRUM (Digital Repository of the University of Minnesota). We then split out NCBI (National Center for Biotechnology Information) repositories. Next we searched the internet for open general data repositories using a variety of search engines, and repositories containing a mix of data, journals, books, and other types of records were tested to determine whether that repository could filter for data results after search terms were applied. General subject data repositories include Figshare, Open Science Framework, PANGEA, Protein Data Bank, and Zenodo. Finally, we compared scholarly journal suggestions for data repositories against our list to fill in any missing repositories that might contain agricultural data. Extensive lists of journals were compiled, in which USDA published in 2012 and 2016, combining search results in ARIS, Scopus, and the Forest Service's TreeSearch, plus the USDA web sites Economic Research Service (ERS), National Agricultural Statistics Service (NASS), Natural Resources and Conservation Service (NRCS), Food and Nutrition Service (FNS), Rural Development (RD), and Agricultural Marketing Service (AMS). The top 50 journals' author instructions were consulted to see if they (a) ask or require submitters to provide supplemental data, or (b) require submitters to submit data to open repositories. Data are provided for Journals based on a 2012 and 2016 study of where USDA employees publish their research studies, ranked by number of articles, including 2015/2016 Impact Factor, Author guidelines, Supplemental Data?, Supplemental Data reviewed?, Open Data (Supplemental or in Repository) Required? and Recommended data repositories, as provided in the online author guidelines for each the top 50 journals. Evaluation We ran a series of searches on all resulting general subject databases with the designated search terms. From the results, we noted the total number of datasets in the repository, type of resource searched (datasets, data, images, components, etc.), percentage of the total database that each term comprised, any dataset with a search term that comprised at least 1% and 5% of the total collection, and any search term that returned greater than 100 and greater than 500 results. We compared domain-specific databases and repositories based on parent organization, type of institution, and whether data submissions were dependent on conditions such as funding or affiliation of some kind. Results A summary of the major findings from our data review:

Over half of the top 50 ag-related journals from our profile require or encourage open data for their published authors. There are few general repositories that are both large AND contain a significant portion of ag data in their collection. GBIF (Global Biodiversity Information Facility), ICPSR, and ORNL DAAC were among those that had over 500 datasets returned with at least one ag search term and had that result comprise at least 5% of the total collection.
Not even one quarter of the domain-specific repositories and datasets reviewed allow open submission by any researcher regardless of funding or affiliation.

See included README file for descriptions of each individual data file in this dataset. Resources in this dataset:Resource Title: Journals. File Name: Journals.csvResource Title: Journals - Recommended repositories. File Name: Repos_from_journals.csvResource Title: TDWG presentation. File Name: TDWG_Presentation.pptxResource Title: Domain Specific ag data sources. File Name: domain_specific_ag_databases.csvResource Title: Data Dictionary for Ag Data Repository Inventory. File Name: Ag_Data_Repo_DD.csvResource Title: General repositories containing ag data. File Name: general_repos_1.csvResource Title: README and file inventory. File Name: README_InventoryPublicDBandREepAgData.txt

About DOAJ

The aim of the Directory of Open Access Journals is to increase the visibility and ease of use of open access scientific and scholarly journals thereby promoting their increased usage and impact. The Directory aims to be comprehensive and cover all open access scientific and scholarly journals that use a quality control system to guarantee the content. In short a one stop shop for users to Open Access Journals.

Definitions

Open Access Journal: We define open access journals as journals that use a funding model that does not charge readers or their institutions for access. From the BOAI definition [1] of "open access" we take the right of users to "read, download, copy, distribute, print, search, or link to the full texts of these articles" as mandatory for a journal to be included in the directory. [1] http://www.earlham.edu/~peters/fos/boaifaq.htm#openaccess

'''Quality Control''': The journal must exercise peer-review or editorial quality control to be included.

'''Research Journal''': Journals that report primary results of research or overviews of research results to a scholarly community.

'''Periodical''': A serial appearing or intended to appear indefinitely at regular intervals, generally more frequently than annually, each issue of which is numbered or dated consecutively and normally contains separate articles, stories, or other writings.

Selection Criteria

'''Coverage''': '''Subject''': all scientific and scholarly subjects are covered Types of resource: scientific and scholarly periodicals that publish research or review papers in full text. Acceptable sources: academic, government, commercial, non-profit private sources are all acceptable. '''Level''': the target group for included journals should be primarily researchers. '''Content''': a substantive part of the journal should consist of research papers. All content should be available in full text. All languages

'''Access''': All content freely available. Registration: Free user registration online is acceptable. Open Access without delay (e.g. no embargo period).

'''Quality''': For a journal to be included it should exercise quality control on submitted papers through an editor, editorial board and/or a peer-review system.

'''Periodical''': The journal should have an ISSN (International Standard Serial Number, for information see http://www.issn.org).

Metadata information

Resources will be catalogued on journal title level. To make article level content searchable in the system, journal owners are encouraged to supply us with article metadata when a journal has been added into the directory. If you are a journal owner and have not received this information, please contact us.

Project Background

The proliferation of freely accessible online journals, the development of subject specific pre- and e-print archives and collections of learning objects provides a very valuable supplement of scientific knowledge to the existing types of published scientific information (books, journals, databases etc.). However these valuable collections are difficult to overview and integrate in the library and information services provided by libraries for their user constituency.

At the First Nordic Conference on Scholarly Communication in Lund/Copenhagen the idea of creating a comprehensive directory of Open Access Journals was discussed. The conclusion was that it would be a valuable service for the global research and education community. Open Society Institute (OSI) supported the initial project work.

Available technologies make it possible to collect and organize these resources in a way that allow libraries worldwide to integrate these resources in existing services thus offering added value both for the service providers of these resources and for the global research and education community.

ST - DHS Public Access Database: Consistent with the 2013 OSTP Memorandum and the 2022 update, “Increasing Access to the Results of Federally Funded Scientific Research,” directed all agencies with greater than $100 million in R&D expenditures each year to prepare a plan for improving the public’s access to the results of federally funded research, specifically peer-reviewed scholarly publications and digital data. In response to the memorandum, DHS developed a DHS Public Access Plan, and intends to make available to the public digitally formatted scientific data that support the conclusions in peer-reviewed scholarly publications that are the results of DHS R&D funding. This data repository site with a customized DHS Storefront allows DHS to post releasable scientific digital data from peer-reviewed publications resulting from DHS-funded research. The data repository is configured to allow DHS users (and publishers acting on behalf of these users) to deposit data sets into the repository, making them available to the general public.

Libraries have a long and storied history, dating back thousands of years to the legendary Library of Alexandria. Even in today's digital age, they act as vital public institutions that provide free access to costly information and resources, contributing significantly to community development and literacy. Since library benefits are distributed as externalities across the community, funding for libraries primarily comes from local government sources, such as property taxes. However, budgets are often under pressure due to shifting priorities. Libraries have sought alternative funding sources like grants, donations and partnerships with private entities. Despite diverse funding, libraries struggle with underutilization and competition from substitutes. Industry revenue growth has wavered, dipping at a CAGR of 1.3% to a total of $2.1 billion in 2025 Libraries serve a diverse market, including students, researchers, entrepreneurs and the general public, disproportionately benefitting financially challenged communities. They offer services beyond book lending, like access to digital resources, educational programs and community events. The emergence and surge in popularity of digital technology have also expanded the library's role. It now provides access to e-books, online databases and physical technology like desktops and mobile hotspots. However, libraries have faced growing cultural battles over book bans and content on race, gender and sexuality, while funding increasingly shifts toward competitive, project-based grants. This has intensified pressures, with partisan battles reaching a fever pitch in 2025. The Trump administration moved to dismantle the Institute of Museum and Library Services (IMLS), the independent federal agency that provides library grants and halted state grants, triggering temporary court orders that have kept funding in place pending legal outcomes. With industry revenue forecast to contract 2.0% in 2025, the fate of libraries in the coming years will be tied to the future of federal funding initiatives for libraries and industry institutions. Cultural shifts toward rapid digital information consumption will continue to pose challenges for libraries. Intellectual property laws affect how libraries can provide access to copyrighted materials. In response to this challenge, libraries have advocated for fair use policies and open access initiatives, particularly after COVID-19 shut down access to physical book lending. Libraries are also adapting by investing in digital infrastructure and enhancing their online presence, often partnering with private companies to build online platforms and taking pages from entertainment competitors like Netflix and Audible. Some libraries are evolving into community hubs or maker (3d printing) spaces. Still, the high cost of these transitions is challenging, and revenue is poised to continue its downward trend, sliding at a CAGR of 0.4% to $2.6 billion through the end of 2030.

The dataset contains bibliographic information about scientific articles published by researchers from Norwegian research organizations and is an enhanced subset of data from the Cristin database. Cristin (current research information system in Norway) is a database with bibliographic records of all research articles with an Norwegian affiliation with a publicly funded research institution in Norway. The subset is limited to metadata about journal articles reported in the period 2013-2021 (186,621 records), and further limited to information of relevance for the study (see below). Article metadata are enhanced with open access status by several sources, particularly unpaywall, DOAJ and hybrid-information in case an article is part of a publish-and-read-deal.

This dataset focuses on chamber-based methane (CH4) flux measurements in tidal wetlands across the Contiguous United States (CONUS)and is intended to serve as a community resource for Earth and environmental science research, climate change synthesis studies, and model evaluation. The database contains 35 contributed datasets with a total of 10,445 chamber-based CH4 flux observations across 41 years and 120 sites distributed across CONUS Atlantic and Pacific coasts and the Gulf of Mexico. Contributed datasets are converted to a standard format and units and organized hierarchically (site, chamber, chamber time series, porewater chemistry, and plant species) with metadata on contributors, geographic location, measurement conditions, and ancillary environmental variables. While focused on CH4 flux measurements, the database accommodates other greenhouse gas flux data (CO2 and N2O) as well as porewater profiles of various analytes, experimental treatments (e.g., fertilization, elevated CO2), and ecosystem disturbance classes (e.g., salinization, tidal restrictions, restoration). This database results from the Coastal Carbon Network’s (CCN) tidal wetland CH4 flux data synthesis. A description and analysis of the dataset are available in Arias-Ortiz et al. 2024, co-authored by members of the CCN Data Methane Working Group and data contributors.

This dataset contains free to read/open access status of scholarly journal articles from Stockholm University (Sweden) published between 2012-2017. The data published in xlsx and csv format. Only journal articles with a known DOI are included. The status of free/open access of the articles were checked manually and then compared to the Unpaywall/oaDOi database (https://unpaywall.org/data) in February 2018. The data was fetched with the help of the Unpaywall/oaDOI API: https://unpaywall.org/api/v2 Definitions of the columns in the data file: Article:DOI: DOI id of the ariclesu:DIVA PID: id of the article in the Stockholm University publication database (DiVA: http://su.diva-portal.org/)Journal: Name of the artcleYear: Publication year Manually checked data:Free to read at publisher homepage: 1 if the full-text of the article is free to read without registration at the publisher's homepageOA: 1 if the article has some kind of OA licenseLicense: Specification of the OA license (type of Creative Commons license, or "Other license"Gold OA journal: 1 if the journal is fully open accessPublisher: name of the publisher Data from oaDOIDOI found in oaDOI: 1 if the DOI is found in the oaDOI databaseoaDOI found something open: 1 if the oaDOI database found an open version availableFree to read at publisher homepage according to oaDOI: 1 if there is a free to read available version at the publisher's homepage according to oaDOIOA at publisher according to oaDOI best locationoaDOI best location: best free location according to oaDOIoaDOI data_standard: 1 or 2 according to oaDOI oaDOI license: license from the oaDOI databaseoaDOI license (standardized format): license type converted to the format of the column "License". License types other than Creative Commons are categorized as "Other license". Note: since many things were checked manually/half-automatically, some errors are inevitable. Furthermore all data was only accurate at the time of the check.

This Excel sheet contains all published data to date on noble gas isotopes measured in natural diamonds. This database is open to the scientific community, which is invited to contribute and update data in the future. Cette feuille Excel contient toutes les données publiées sur les isotopes de gaz nobles mesurés dans les diamants naturels. Cette base de données est ouverte à la communauté scientifique, qui est invitée à contribuer et à mettre à jour les données à l'avenir.

A Comprehensive List of Open Data Portals from Around the World

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This document can cover either or both of the database and its contents (the data). Because databases can have a wide variety of content – not just factual data – rightsholders should use the Open Data Commons – Public Domain Dedication & Licence for an entire database and its contents only if everything can be placed under the terms of this document. Because even factual data can sometimes have intellectual property rights, rightsholders should use this licence to cover b...

Scientific Data Management (SDM) Program shares and manages scientific and scientific program information systems in ways that support the mission and business of the NWFSC. We strive to bring quality information, in the right form, to the right people at the right time to support necessary decisions and generate ideas. Multi-FMC annual project planning (for budget, people, and operational costs) and data set tracking (for data entry to feed InPort/NCEI/Data.gov) TEST CASE TWO.

Journal of Chemistry Acceptance Rate - ResearchHelpDesk - Journal of Chemistry is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles on all aspects of fundamental and applied chemistry. Journal of Chemistry is archived in Portico, which provides permanent archiving for electronic scholarly journals, as well as via the LOCKSS initiative. It operates a fully open access publishing model which allows open global access to its published content. This model is supported through Article Processing Charges. Journal of Chemistry is included in many leading abstracting and indexing databases. For a complete list, click here. The most recent Impact Factor for Journal of Chemistry is 1.727 according to the 2018 Journal Citation Reports released by Clarivate Analytics in 2019. The journal’s most recent CiteScore is 1.32 according to the CiteScore 2018 metrics released by Scopus. Abstracting and Indexing Academic Search Alumni Edition Academic Search Complete AgBiotech Net AgBiotech News and Information AGRICOLA Agricultural Economics Database Agricultural Engineering Abstracts Agroforestry Abstracts Animal Breeding Abstracts Animal Science Database Biofuels Abstracts Botanical Pesticides CAB Abstracts Chemical Abstracts Service (CAS) CNKI Scholar Crop Physiology Abstracts Crop Science Database Directory of Open Access Journals (DOAJ) EBSCOhost Connection EBSCOhost Research Databases Elsevier BIOBASE - Current Awareness in Biological Sciences (CABS) EMBIOlogy Energy and Power Source Global Health Google Scholar J-Gate Portal Journal Citation Reports - Science Edition Open Access Journals Integrated Service System Project (GoOA) Primo Central Index Reaxys Science Citation Index Expanded Scopus Textile Technology Index The Summon Service WorldCat Discovery Services