https://www.ons.gov.uk/aboutus/whatwedo/statistics/requestingstatistics/approvedresearcherschemehttps://www.ons.gov.uk/aboutus/whatwedo/statistics/requestingstatistics/approvedresearcherscheme
The Public Health Research Database (PHRD) is a linked asset which currently includes Census 2011 data; Mortality Data; Hospital Episode Statistics (HES); GP Extraction Service (GPES) Data for Pandemic Planning and Research data. Researchers may apply for these datasets individually or any combination of the current 4 datasets.
The purpose of this dataset is to enable analysis of deaths involving COVID-19 by multiple factors such as ethnicity, religion, disability and known comorbidities as well as age, sex, socioeconomic and marital status at subnational levels. 2011 Census data for usual residents of England and Wales, who were not known to have died by 1 January 2020, linked to death registrations for deaths registered between 1 January 2020 and 8 March 2021 on NHS number. The data exclude individuals who entered the UK in the year before the Census took place (due to their high propensity to have left the UK prior to the study period), and those over 100 years of age at the time of the Census, even if their death was not linked. The dataset contains all individuals who died (any cause) during the study period, and a 5% simple random sample of those still alive at the end of the study period. For usual residents of England, the dataset also contains comorbidity flags derived from linked Hospital Episode Statistics data from April 2017 to December 2019 and GP Extraction Service Data from 2015-2019.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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The Department of Aquatic Resources (SLU Aqua) at the Swedish University of Agricultural Sciences is responsible of collecting and checking test-fishing data generated in national and regional environmental programs on behalf of the Swedish Agency for Marine and Water Management. The test fishing is performed with standardized methods. SLU Aqua also collect test-fishing data from several other types of investigations (e g recipient monitoring). The purpose is to facilitate obtaining data of high quality for research, national investigations and reports. The database also serves as a reference for local and regional investigations. Data is available for the public on http://www.slu.se/kul.
https://opcrd.co.uk/our-database/data-requests/https://opcrd.co.uk/our-database/data-requests/
About OPCRD
Optimum Patient Care Research Database (OPCRD) is a real-world, longitudinal, research database that provides anonymised data to support scientific, medical, public health and exploratory research. OPCRD is established, funded and maintained by Optimum Patient Care Limited (OPC) – which is a not-for-profit social enterprise that has been providing quality improvement programmes and research support services to general practices across the UK since 2005.
Key Features of OPCRD
OPCRD has been purposefully designed to facilitate real-world data collection and address the growing demand for observational and pragmatic medical research, both in the UK and internationally. Data held in OPCRD is representative of routine clinical care and thus enables the study of ‘real-world’ effectiveness and health care utilisation patterns for chronic health conditions.
OPCRD unique qualities which set it apart from other research data resources: • De-identified electronic medical records of more than 24.9 million patients • OPCRD covers all major UK primary care clinical systems • OPCRD covers approximately 35% of the UK population • One of the biggest primary care research networks in the world, with over 1,175 practices • Linked patient reported outcomes for over 68,000 patients including Covid-19 patient reported data • Linkage to secondary care data sources including Hospital Episode Statistics (HES)
Data Available in OPCRD
OPCRD has received data contributions from over 1,175 practices and currently holds de-identified research ready data for over 24.9 million patients or data subjects. This includes longitudinal primary care patient data and any data relevant to the management of patients in primary care, and thus covers all conditions. The data is derived from both electronic health records (EHR) data and patient reported data from patient questionnaires delivered as part of quality improvement. OPCRD currently holds over 68,000 patient reported questionnaire data on Covid-19, asthma, COPD and rare diseases.
Approvals and Governance
OPCRD has NHS research ethics committee (REC) approval to provide anonymised data for scientific and medical research since 2010, with its most recent approval in 2020 (NHS HRA REC ref: 20/EM/0148). OPCRD is governed by the Anonymised Data Ethics and Protocols Transparency committee (ADEPT). All research conducted using anonymised data from OPCRD must gain prior approval from ADEPT. Proceeds from OPCRD data access fees and detailed feasibility assessments are re-invested into OPC services for the continued free provision of patient quality improvement programmes for contributing practices and patients.
For more information on OPCRD please visit: https://opcrd.co.uk/
Biomed research international FAQ - ResearchHelpDesk - Aims and scope BioMed Research International is a peer-reviewed, Open Access journal that publishes original research articles and reviews articles covering a wide range of subjects in life sciences and medicine. The journal is divided into 56 subject areas. Journal Title History BioMed Research International 2013–Current Journal of Biomedicine and Biotechnology 2001–2012 (Title Changed) Acknowledgements BioMed Research International was founded in 2001 by Professor Abdelali Haoudi who served as the Editor-in-Chief of the journal between 2001 and 2008. Open Access BioMed Research International is an open-access journal. All articles are immediately available to read and reuse upon publication. Full list of databases and services Abstracts on Hygiene and Communicable Diseases Academic OneFile - Agriculture Collection Academic Search Alumni Edition Academic Search Complete Access to Global Online Research in Agriculture (AGORA) AgBiotech Net AgBiotech News and Information Agricultural Economics Database Agricultural Engineering Abstracts Agroforestry Abstracts AIDS and Cancer Research Abstracts Algology, Mycology and Protozoology (Microbiology C) Animal Breeding Abstracts Animal Production Database Animal Science Database Bacteriology Abstracts (Microbiology B) Biocontrol News and Information BioEngineering Abstracts Biofuels Abstracts Biological Abstracts Biological Sciences BIOSIS Previews Biotechnology and BioEngineering Abstracts Biotechnology Research Abstracts Botanical Pesticides CAB Abstracts Cabell’s Directories Chemical Abstracts Service (CAS) Chemical Engineering and Biotechnology Abstracts (CEABA) CINAHL Plus with Full Text CNKI Scholar Corrosion Abstracts Crop Physiology Abstracts Crop Science Database Dairy Science Abstracts Directory of Open Access Journals (DOAJ) EBSCOhost Connection EBSCOhost Research Databases Elsevier BIOBASE - Current Awareness in Biological Sciences (CABS) EMBASE EMBIOlogy EMCare Engineering Research Database Entomology Abstracts Environmental Impact Environmental Science Database Expanded Academic ASAP Field Crop Abstracts Forest Products Abstracts Forest Science Database Forestry Abstracts Global Health Google Scholar Grasslands and Forage Abstracts Health Reference Center Academic Helminthological Abstracts HighBeam Research HINARI Access to Research in Health Programme Horticultural Science Abstracts Index Medicus Index Veterinarius Industrial and Applied Microbiology Abstracts InfoTrac Custom journals J-Gate Portal Journal Citation Reports - Science Edition Maize Abstracts Medical and Pharmaceutical Biotechnology Abstracts MEDLINE Nematological Abstracts Nursing and Allied Health Collection: Comprehensive Nursing Resource Center Nutrition Abstracts and Reviews Series A Nutrition Abstracts and Reviews Series B Nutrition and Food Sciences Database Open Access Journals Integrated Service System Project (GoOA) Ornamental Horticulture Parasitology Database Pig News and Information Plant Breeding Abstracts Plant Genetic Resources Abstracts Plant Genetics and Breeding Database Plant Growth Regulator Abstracts Plant Protection Database Polymer Library Postharvest News and Information Poultry Abstracts Primo Central Index Professional ProQuest Central ProQuest Advanced Technologies and Aerospace Collection ProQuest Biological Science Collection ProQuest Central ProQuest Health and Medical Complete ProQuest Medical Library ProQuest Natural Science Collection ProQuest SciTech Premium Collection ProQuest Technology Collection Protozoological Abstracts PubMed PubMed Central Review of Aromatic and Medicinal Plants Review of Medical and Veterinary Entomology Review of Medical and Veterinary Mycology Review of Plant Pathology Rice Abstracts Rural Development Abstracts SafetyLit Science Citation Index Expanded Scopus Seed Abstracts Soil Science Database Soils and Fertilizers Abstracts Solid State and Superconductivity Abstracts Sugar Industry Abstracts Technology Research Database The Summon Service Toxicology Abstracts Tropical Diseases Bulletin Veterinary Bulletin Veterinary Science Database Virology and AIDS Abstracts Web of Science (WoS) Weed Abstracts Wheat, Barley and Triticale Abstracts World Agricultural Economics and Rural Sociology Abstracts WorldCat Discovery Services
2011 Census data for England and Wales, linked to Mortality Data, Hospital Episode Statistics (HES) data, and GP Extraction Service (GPES) data for Pandemic Planning and Research Data.
https://opensource.org/licenses/BSD-3-Clausehttps://opensource.org/licenses/BSD-3-Clause
R code and data for a landscape scan of data services at academic libraries. Original data is licensed CC By 4.0, data obtained from other sources is licensed according to the original licensing terms. R scripts are licensed under the BSD 3-clause license. Summary This work generally focuses on four questions:
Which research data services does an academic library provide? For a subset of those services, what form does the support come in? i.e. consulting, instruction, or web resources? Are there differences in support between three categories of services: data management, geospatial, and data science? How does library resourcing (i.e. salaries) affect the number of research data services?
Approach Using direct survey of web resources, we investigated the services offered at 25 Research 1 universities in the United States of America. Please refer to the included README.md files for more information.
For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu
This document, Innovating the Data Ecosystem: An Update of The Federal Big Data Research and Development Strategic Plan, updates the 2016 Federal Big Data Research and Development Strategic Plan. This plan updates the vision and strategies on the research and development needs for big data laid out in the 2016 Strategic Plan through the six strategies areas (enhance the reusability and integrity of data; enable innovative, user-driven data science; develop and enhance the robustness of the federated ecosystem; prioritize privacy, ethics, and security; develop necessary expertise and diverse talent; and enhance U.S. leadership in the international context) to enhance data value and reusability and responsiveness to federal policies on data sharing and management.
https://www.nist.gov/open/licensehttps://www.nist.gov/open/license
2D image and 3D topography measurements of fired bullets and cartridge cases. Regions of interest include land impressions, breechface, firing pins, and aperture shears.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset includes bibliographic information for 501 papers that were published from 2010-April 2017 (time of search) and use online biodiversity databases for research purposes. Our overarching goal in this study is to determine how research uses of biodiversity data developed during a time of unprecedented growth of online data resources. We also determine uses with the highest number of citations, how online occurrence data are linked to other data types, and if/how data quality is addressed. Specifically, we address the following questions:
1.) What primary biodiversity databases have been cited in published research, and which
databases have been cited most often?
2.) Is the biodiversity research community citing databases appropriately, and are
the cited databases currently accessible online?
3.) What are the most common uses, general taxa addressed, and data linkages, and how
have they changed over time?
4.) What uses have the highest impact, as measured through the mean number of citations
per year?
5.) Are certain uses applied more often for plants/invertebrates/vertebrates?
6.) Are links to specific data types associated more often with particular uses?
7.) How often are major data quality issues addressed?
8.) What data quality issues tend to be addressed for the top uses?
Relevant papers for this analysis include those that use online and openly accessible primary occurrence records, or those that add data to an online database. Google Scholar (GS) provides full-text indexing, which was important to identify data sources that often appear buried in the methods section of a paper. Our search was therefore restricted to GS. All authors discussed and agreed upon representative search terms, which were relatively broad to capture a variety of databases hosting primary occurrence records. The terms included: “species occurrence” database (8,800 results), “natural history collection” database (634 results), herbarium database (16,500 results), “biodiversity database” (3,350 results), “primary biodiversity data” database (483 results), “museum collection” database (4,480 results), “digital accessible information” database (10 results), and “digital accessible knowledge” database (52 results)--note that quotations are used as part of the search terms where specific phrases are needed in whole. We downloaded all records returned by each search (or the first 500 if there were more) into a Zotero reference management database. About one third of the 2500 papers in the final dataset were relevant. Three of the authors with specialized knowledge of the field characterized relevant papers using a standardized tagging protocol based on a series of key topics of interest. We developed a list of potential tags and descriptions for each topic, including: database(s) used, database accessibility, scale of study, region of study, taxa addressed, research use of data, other data types linked to species occurrence data, data quality issues addressed, authors, institutions, and funding sources. Each tagged paper was thoroughly checked by a second tagger.
The final dataset of tagged papers allow us to quantify general areas of research made possible by the expansion of online species occurrence databases, and trends over time. Analyses of this data will be published in a separate quantitative review.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
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Microdata of the ANTIELAB Research Data Archive - Teargas Map
Field definition:
event-id: an unique event identifier time_interval: time interval within when the event happened district: one of the 18 Hong Kong districts (in Chinese) location1-3: specific locations identified in the post(s) (in Chinese)
The shape file contains the WSG84 coordinates of each of the identified locations of every event. You can look up the geographical coordinates of the events by matching the field ‘event_id’ in the shape file with that in the CSV file. The coordinates are provided by Google’s Geocoding API and Place API.
December 7, 2022: This updated version fixes a data format issue occurred when exporting the coordinates to the data repository. It also makes the date format of the events consistent to avoid user’s misidentification. These changes do not affect the analysis and the results of the original paper.
Reference: Teo, E., Fu, KW. (2021) A novel systematic approach of constructing protests repertoires from social media: comparing the roles of organizational and non-organizational actors in social movement. J Comput Soc Sc. https://link.springer.com/article/10.1007/s42001-021-00101-3
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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A novel subject classification scheme should often be applied to a preclassified bibliographic database for the research evaluation task. Generally, adopting a new subject classification scheme is labor intensive and time consuming, and an effective and efficient approach is necessary. Hence, we propose an approach to apply a new subject classification scheme for a subject-classified database using a data-driven correspondence between the new and present ones. In this paper, we define a subject classification model of the bibliographic database comprising a topological space. Then, we show our approach based on this model, wherein forming a compact topological space is required for a novel subject classification scheme. To form the space, a correspondence between two subject classification schemes using a research project database is utilized as data. As a case study, we applied our approach to a practical example. It is a tool used as world proprietary benchmarking for research evaluation based on a citation database. We tried to add a novel subject classification of a research project database.
https://github.com/bdsp-core/bdsp-license-and-duahttps://github.com/bdsp-core/bdsp-license-and-dua
The International Cardiac Arrest REsearch consortium (I-CARE) Database includes baseline clinical information and continuous electroencephalography (EEG) recordings from 1,020 comatose patients with a diagnosis of cardiac arrest who were admitted to an intensive care unit from seven academic hospitals in the U.S. and Europe. Patients were monitored with 18 bipolar EEG channels over hours to days for the diagnosis of seizures and for neurological prognostication. Long-term neurological function was determined using the Cerebral Performance Category scale.
https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
Market Size statistics on the Database & Directory Publishing industry in United States
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
The database collected during research cruises by MIR-PIB includes information on predators and their prey (stomach contents).
Comprehensive dataset of 65 Research foundations in Colorado, United States as of June, 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 RESOURCE IS NO LONGER IN SERVICE. Documented on March 12,2025. The AIDSinfo Drug Database provides fact sheets on HIV/AIDS related drugs. The fact sheets describe the drug''s use, pharmacology, side effects, and other information. The database includes: -Approved and investigational HIV/AIDS related drugs -Three versions of each fact sheet: patient, health professional, and Spanish. AIDSinfo is a 100% federally funded U.S. Department of Health and Human Services (DHHS) project that offers the latest federally approved information on HIV/AIDS clinical research, treatment and prevention, and medical practice guidelines for people living with HIV/AIDS, their families and friends, health care providers, scientists, and researchers. Sponsors: -National Institutes of Health (NIH) Office of AIDS Research National Institute of Allergy and Infectious Diseases (NIAID) National Library of Medicine (NLM) -Health Resources and Services Administration (HRSA) -Centers for Disease Control and Prevention (CDC) -Centers for Medicare and Medicaid Services (CMS)
Comprehensive dataset of 63 Research institutes in Kentucky, 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.
Iowa Public Employment Relations Board (PERB) electronic research and retrieval database system. This system provides access to full-text documents including: Contracts, Contracts Archive, PERB and Court Decisions, and Neutral Decisions.
Contracts – Contracts published and included in this database are only those forwarded to PERB by the parties. Contracts Archive – Contracts that were forwarded to PERB and have expired, beginning with those that expired in 2008, are included in this database.
PERB and Court Decisions – In this database, the PERB decisions do not include routine or preliminary rulings and orders issued by PERB, but include only substantive final agency decisions and non-final rulings and orders deemed informative. Court decisions are those on judicial review of PERB decisions.
Neutral Decisions – The neutral decisions database includes recent and a number of prior years’ fact-finding and interest arbitration decisions. Additionally, it includes only those grievance arbitration decisions forwarded to PERB for publication by the arbitrator with consent of the parties involved. Click on the Contents tab of the database to view all documents contained in the database.
PERB decisions do not include routine or preliminary rulings and orders issued by PERB, but include only substantive final agency decisions and non-final rulings and orders deemed informative. Court decisions are those on judicial review of PERB decisions.
Neutron scattering data from NCNR's thermal and cold neutron scattering instruments.
The database of the French public research laboratories in Human and Social Sciences is updated annually by the Athena alliance. It includes all public research or research support structures present in the territory. It contains for each structure the National Structure Number, Laboratory Label, Laboratory Type, Name, Website, Comue, Establishment-s, Address, Postal Code, Name and Gender of Manager, Longitude, Latitude, Doctoral School,Domaines, Disciplines and Major Thematic Issues (environment, health, education, culture).
As of 1 January 2019 this database lists 1071 research structures.
https://www.ons.gov.uk/aboutus/whatwedo/statistics/requestingstatistics/approvedresearcherschemehttps://www.ons.gov.uk/aboutus/whatwedo/statistics/requestingstatistics/approvedresearcherscheme
The Public Health Research Database (PHRD) is a linked asset which currently includes Census 2011 data; Mortality Data; Hospital Episode Statistics (HES); GP Extraction Service (GPES) Data for Pandemic Planning and Research data. Researchers may apply for these datasets individually or any combination of the current 4 datasets.
The purpose of this dataset is to enable analysis of deaths involving COVID-19 by multiple factors such as ethnicity, religion, disability and known comorbidities as well as age, sex, socioeconomic and marital status at subnational levels. 2011 Census data for usual residents of England and Wales, who were not known to have died by 1 January 2020, linked to death registrations for deaths registered between 1 January 2020 and 8 March 2021 on NHS number. The data exclude individuals who entered the UK in the year before the Census took place (due to their high propensity to have left the UK prior to the study period), and those over 100 years of age at the time of the Census, even if their death was not linked. The dataset contains all individuals who died (any cause) during the study period, and a 5% simple random sample of those still alive at the end of the study period. For usual residents of England, the dataset also contains comorbidity flags derived from linked Hospital Episode Statistics data from April 2017 to December 2019 and GP Extraction Service Data from 2015-2019.