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TwitterDatabase that collects, integrates and links all relevant primary information from the GABI plant genome research projects and makes them accessible via internet. Its purpose is to support plant genome research in Germany, to yield information about commercial important plant genomes, and to establish a scientific network within plant genomic research. GreenCards is the main interface for text based retrieval of sequence, SNP, mapping data etc. Sharing and interchange of data among collaborating research groups, industry and the patent- and licensing agency are facilitated. * GreenCards: Text based search for sequence, mapping, SNP data etc. * Maps: Visualization of genetic or physical maps. * BLAST: Secure BLAST search against different public databases or non-public sequence data stored in GabiPD. * Proteomics: View interactive 2D-gels and view or download information for identified protein spots. Registered users can submit data via secure file upload.
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Currently active biological databases aiming to archive data related to oral biology.
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The data (hmdb_metabolites, released on 17/11/2021) used to create this ID mapping database was downloaded from HMDB (Human Metabolome Database, website URL: https://hmdb.ca/).
This database was used for the BridgeDb demo at BioSB 2022 conference.
The scripts used to create this database based on HGNC: https://github.com/tabbassidaloii/create-bridgedb-secondary2primary
This work was funded by the FAIRplus project (grant agreement no 802750) and NWO Open Science Fund (grant no 203.001.121).
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Link: https://figshare.com/articles/dataset/S2_Table/25546426. (XLSX)
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TwitterKEGG LIGAND contains knowledge of chemical substances and reactions that are relevant to life. It is a composite database consisting of COMPOUND, GLYCAN, REACTION, RPAIR, and ENZYME databases, whose entries are identified by C, G, R, RP, and EC numbers, respectively. ENZYME is derived from the IUBMB/IUPAC Enzyme Nomenclature, but the others are internally developed and maintained. The primary database of KEGG LIGAND is a relational database with the KegDraw interface, which is used to generated the secondary (flat file) database for DBGET.
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Networks are able to update on an ongoing basis data originally added to the Veterans Health Administration Physician Productivity and Staffing initiative to ensure that it reflects current conditions. This data access link function is restricted to a limited number of Network representatives. All the available facility, Network, and National Primary Care Staff and Room Utilization reports are available. In addition key guidance documents are available to people without edit access.
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TwitterAn inventory of buildings and other fixed assets owned, leased, or operated by the City of Philadelphia including buildings, structures, and properties (not including surplus properties). Also known as the Master Facilities Database.
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The Washington State Department of Health presents this information as a service to the public. True and correct copies of legal disciplinary actions taken after July 1998 are available on our Provider Credential Search site. These records are considered certified by the Department of Health.
This includes information on health care providers.
Please contact our Customer Service Center at 360-236-4700 for information about actions before July 1998. The information on this site comes directly from our database and is updated daily at 10:00 a.m.. This data is a primary source for verification of credentials and is extracted from the primary database at 2:00 a.m. daily.
News releases about disciplinary actions taken against Washington State healthcare providers, agencies or facilities are on the agency's Newsroom webpage.
Disclaimer The absence of information in the Provider Credential Search system doesn't imply any recommendation, endorsement or guarantee of competence of any healthcare professional. The presence of information in this system doesn't imply a provider isn't competent or qualified to practice. The reader is encouraged to carefully evaluate any information found in this data set.
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TwitterProject developed by Giovanni Federico (Università di Pisa) and Antonio Tena Junguito (Universidad Carlos III de Madrid). This data base outlines changes in world trade from 1800 to 2016. Dataset: World Share Primary Products Exports and Imports
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The datasets (hgnc_complete_set and withdrawn) used to create this ID mapping database were downloaded from HGNC (HUGO Gene Nomenclature Committee at the European Bioinformatics Institute, website URL: https://www.genenames.org/) on 09/05/2022.
This database was used for the BridgeDb demo at BioSB 2022 conference.
The scripts used to create this database based on HGNC: https://github.com/tabbassidaloii/create-bridgedb-secondary2primary
This work was funded by the FAIRplus project (grant agreement no 802750) and NWO Open Science Fund (grant no 203.001.121).
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Tagging programmes have been used to provide information on fish and
fisheries to central government policy makers in New Zealand for many
years. A wide variety of species have been the subject of such studies,
including finfish, shellfish and rock lobsters. In New Zealand, the
Ministry for Primary Industries (formerly the Ministry of Fisheries) has
funded these programmes to aid with fisheries research and stock
assessment. Data from these programme are held in the "tag" database,
from which the data in this dataset are sourced.
Citation: Ministry for Primary Industries (2014). New Zealand research tagging
database. Southwestern Pacific OBIS, National Institute of Water and
Atmospheric Research (NIWA), Wellington, New Zealand, 411926 records.Online: http://nzobisipt.niwa.co.nz/resource.do?r=mpi_tag Released on November 5, 2014.Bibliographic Citations: http://www.fish.govt.nz/NR/rdonlyres/E827F55F-0779-4599-8223-92538AC61725/0/research_database_tag_2011.pdf_Item Page Created: 2016-06-09 02:17 Item Page Last Modified: 2025-04-05 18:54Owner: NIWA_OpenDataMPI_tagNo data edit dates availableFields: id,type,modified,language,license,rightsHolder,accessRights,bibliographicCitation,institutionCode,collectionCode,datasetName,ownerInstitutionCode,basisOfRecord,dynamicProperties,occurrenceID,catalogNumber,occurrenceRemarks,individualCount,sex,lifeStage,occurrenceStatus,samplingProtocol,eventDate,startDayOfYear,year,month,day,fieldNumber,waterBody,country,stateProvince,county,locality,minimumDepthInMeters,maximumDepthInMeters,decimalLatitude,decimalLongitude,geodeticDatum,coordinateUncertaintyInMeters,footprintWKT,scientificNameID,scientificName,kingdom,phylum,class,order_,family,genus,subgenus,specificEpithet,infraspecificEpithet,scientificNameAuthorship,FID
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The Washington State Department of Health presents this information as a service to the public. True and correct copies of legal disciplinary actions taken after July 1998 are available on our Provider Credential Search site. These records are considered certified by the Department of Health.
This includes information on health care providers.
Please contact our Customer Service Center at 360-236-4700 for information about actions before July 1998. The information on this site comes directly from our database and is updated daily at 10:00 a.m.. This data is a primary source for verification of credentials and is extracted from the primary database at 2:00 a.m. daily.
News releases about disciplinary actions taken against Washington State healthcare providers, agencies or facilities are on the agency's Newsroom webpage.
Disclaimer The absence of information in the Provider Credential Search system doesn't imply any recommendation, endorsement or guarantee of competence of any healthcare professional. The presence of information in this system doesn't imply a provider isn't competent or qualified to practice. The reader is encouraged to carefully evaluate any information found in this data set.
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The database presented is included in my master's thesis project. This includes data from simulated query times over a year. Five different tables (0, 1, 2, 3 and 4) are presented with the application of different variations in patient arrivals and time of appointments.
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TwitterThe Washington State Department of Health presents this information as a service to the public. True and correct copies of legal disciplinary actions taken after July 1998 are available on our Provider Credential Search site. These records are considered certified by the Department of Health. This includes information on health care providers. Please contact our Customer Service Center at 360-236-4700 for information about actions before July 1998. The information on this site comes directly from our database and is updated daily at 10:00 a.m.. This data is a primary source for verification of credentials and is extracted from the primary database at 2:00 a.m. daily. News releases about disciplinary actions taken against Washington State healthcare providers, agencies or facilities are on the agency's Newsroom webpage. Disclaimer The absence of information in the Provider Credential Search system doesn't imply any recommendation, endorsement or guarantee of competence of any healthcare professional. The presence of information in this system doesn't imply a provider isn't competent or qualified to practice. The reader is encouraged to carefully evaluate any information found in this data set.
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OECD Revenue Statistics: Comparative Tables Introduction
The OECD Revenue Statistics database provides detailed and internationally comparable data on the taxes and social contributions paid by businesses and individuals in OECD countries. The data is collected annually from national governments and covers a wide range of taxes, including personal income tax, corporate income tax, social security contributions, and value-added tax.
Data
The database is divided into two main parts:
Part 1: Revenue by Level of Government This part of the database provides data on the total revenue collected by each level of government (central, state, and local) in each OECD country. The data is broken down by type of tax and by source of revenue (e.g., taxes on income, profits, and capital gains; taxes on goods and services; social security contributions).
Part 2: Revenue by Tax Type This part of the database provides data on the revenue collected from each type of tax in each OECD country. The data is broken down by level of government and by source of revenue.
Uses
The OECD Revenue Statistics database can be used for a variety of purposes, including:
Cross-country comparisons of tax levels and structures The database can be used to compare the tax levels and structures of different OECD countries. This information can be used by policymakers to assess the effectiveness of their tax systems and to identify potential areas for reform.
Analysis of the impact of tax policies The database can be used to analyze the impact of tax policies on economic growth, income distribution, and other outcomes. This information can be used by policymakers to design tax policies that are more effective and efficient.
Research on tax policy The database can be used by researchers to study the effects of tax policy on a variety of economic outcomes. This research can help to inform the design of tax policy and to improve our understanding of the economic effects of taxation.
Conclusion
The OECD Revenue Statistics database is a valuable resource for policymakers, researchers, and anyone interested in the taxation of businesses and individuals in OECD countries. The database provides detailed and internationally comparable data on a wide range of taxes, making it an essential tool for understanding the tax systems of OECD countries.
Data Access
The OECD Revenue Statistics database is available online to subscribers. Subscribers can access the data through the OECD's website.
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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/
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Supplemental tables associated to manuscript: Supplemental Table 1. Text mining of the 525 ranked genes found in PUBMED with symptom keywords: this Table describes the 525 ranked genes obtained by text mining with the ‘Génie’ algorithm against the three MESH terms: biliary inflammation, biliary fibrosis and biliary stasis. The respective ranks, p-values and PMID identifiers collected for each gene and each MESH term are presented. Supplemental Table 2. Symptom-related genes found to be differentially expressed in livers from primary sclerosing cholangitis patients: Differentially expressed gene analysis results (logarithmic Fold Change, Average Expression and Adjusted p-values) are presented with respective machine learning predictive scores for supervised sample categories from the GSE61256 dataset (PSC versus other liver samples). Supplemental Table 3. Pavlidis Template Matching for FXR dependency in the liver transcriptome. Results of Pavlidis template analysis used to describe the FXR regulation dependency of PSC genes in liver samples from the GSE54557 dataset. For each gene, the R-Pearson correlation coefficient and its respective p-value are presented in this Table. Supplemental Table 4. Best one hundred genes found to be significant in the pseudotime trajectory of Abcb4-/- cholangiocytes. Best one hundred ranked genes found to be significant on the pseudotime cell trajectory of Abcb4-/- cholangiocytes based on the alternative expression of Nr0b2 and Sox9 in GSE168758.
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From the project's Statement of Work:
The objective of this project is to synthesize over three decades of data collected on primary production in the ocean. The collected data uses a consistent methodology for primary production, using the uptake of inorganic 14C through photosynthesis, in incubations carried out in situ.
The primary support for this dataset was the National Aeronautic and Space Administration grant NNX14AM15G (P.I.: Z.-P. Lee).
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
The Washington State Department of Health presents this information as a service to the public. True and correct copies of legal disciplinary actions taken after July 1998 are available on our Provider Credential Search site. These records are considered certified by the Department of Health.
This includes information on health care providers.
Please contact our Customer Service Center at 360-236-4700 for information about actions before July 1998. The information on this site comes directly from our database and is updated daily at 10:00 a.m.. This data is a primary source for verification of credentials and is extracted from the primary database at 2:00 a.m. daily.
News releases about disciplinary actions taken against Washington State healthcare providers, agencies or facilities are on the agency's Newsroom webpage.
Disclaimer The absence of information in the Provider Credential Search system doesn't imply any recommendation, endorsement or guarantee of competence of any healthcare professional. The presence of information in this system doesn't imply a provider isn't competent or qualified to practice. The reader is encouraged to carefully evaluate any information found in this data set.
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TwitterDatabase that collects, integrates and links all relevant primary information from the GABI plant genome research projects and makes them accessible via internet. Its purpose is to support plant genome research in Germany, to yield information about commercial important plant genomes, and to establish a scientific network within plant genomic research. GreenCards is the main interface for text based retrieval of sequence, SNP, mapping data etc. Sharing and interchange of data among collaborating research groups, industry and the patent- and licensing agency are facilitated. * GreenCards: Text based search for sequence, mapping, SNP data etc. * Maps: Visualization of genetic or physical maps. * BLAST: Secure BLAST search against different public databases or non-public sequence data stored in GabiPD. * Proteomics: View interactive 2D-gels and view or download information for identified protein spots. Registered users can submit data via secure file upload.