Cohorts metadata for the Early Causes project.

This paper presents a large-scale document-level comparison of two major bibliographic data sources: Scopus and Dimensions. The focus is on the differences in their coverage of documents at two levels of aggregation: by country and by institution. The main goal is to analyze whether Dimensions offers as good new opportunities for bibliometric analysis at the country and institutional levels as it does at the global level. Differences in the completeness and accuracy of citation links are also studied. The results allow a profile of Dimensions to be drawn in terms of its coverage by country and institution. Dimensions’ coverage is more than 25% greater than Scopus which is consistent with previous studies. However, the main finding of this study is the lack of affiliation data in a large fraction of Dimensions documents. We found that close to half of all documents in Dimensions are not associated with any country of affiliation while the proportion of documents without this data in Scopus is much lower. This situation mainly affects the possibilities that Dimensions can offer as instruments for carrying out bibliometric analyses at the country and institutional level. Both of these aspects are highly pragmatic considerations for information retrieval and the design of policies for the use of scientific databases in research evaluation.

Our location data powers the most advanced address validation solutions for enterprise backend and frontend systems.

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Gene2Phenotype (G2P) is a detailed collection of expert curated gene-disease associations with information on allelic requirement, observed variant classes and disease mechanism

Background: In Brazil, studies that map electronic healthcare databases in order to assess their suitability for use in pharmacoepidemiologic research are lacking. We aimed to identify, catalogue, and characterize Brazilian data sources for Drug Utilization Research (DUR).Methods: The present study is part of the project entitled, “Publicly Available Data Sources for Drug Utilization Research in Latin American (LatAm) Countries.” A network of Brazilian health experts was assembled to map secondary administrative data from healthcare organizations that might provide information related to medication use. A multi-phase approach including internet search of institutional government websites, traditional bibliographic databases, and experts’ input was used for mapping the data sources. The reviewers searched, screened and selected the data sources independently; disagreements were resolved by consensus. Data sources were grouped into the following categories: 1) automated databases; 2) Electronic Medical Records (EMR); 3) national surveys or datasets; 4) adverse event reporting systems; and 5) others. Each data source was characterized by accessibility, geographic granularity, setting, type of data (aggregate or individual-level), and years of coverage. We also searched for publications related to each data source.Results: A total of 62 data sources were identified and screened; 38 met the eligibility criteria for inclusion and were fully characterized. We grouped 23 (60%) as automated databases, four (11%) as adverse event reporting systems, four (11%) as EMRs, three (8%) as national surveys or datasets, and four (11%) as other types. Eighteen (47%) were classified as publicly and conveniently accessible online; providing information at national level. Most of them offered more than 5 years of comprehensive data coverage, and presented data at both the individual and aggregated levels. No information about population coverage was found. Drug coding is not uniform; each data source has its own coding system, depending on the purpose of the data. At least one scientific publication was found for each publicly available data source.Conclusions: There are several types of data sources for DUR in Brazil, but a uniform system for drug classification and data quality evaluation does not exist. The extent of population covered by year is unknown. Our comprehensive and structured inventory reveals a need for full characterization of these data sources.

National Grid Reference System for Northern Ireland composed of 292 sheets and provides the naming convention for the 1:10 000 scale mapping. The 10k Grid is published here for Open Data and can be used as a reference system for the download of the DTM and the Mid Scale Raster map.

The OSNI 1:10,000 raster grid is referenced to the Irish Grid, with each tile covering a quarter of an Irish Grid sheet. Each tile covers 4.8 km x 3.2 km and there are 1058 tiles covering Northern Ireland.Please Note for Open Data NI Users: Esri Rest API is not Broken, it will not open on its own in a Web Browser but can be copied and used in Desktop and Webmaps

Microsoft Access Database for bibliometric analysis found in the article: Elaine M. Lasda Bergman, Finding Citations to Social Work Literature: The Relative Benefits of Using Web of Science, Scopus, or Google Scholar, The Journal of Academic Librarianship, Volume 38, Issue 6, November 2012, Pages 370-379, ISSN 0099-1333, http://dx.doi.org/10.1016/j.acalib.2012.08.002. (http://www.sciencedirect.com/science/article/pii/S009913331200119X) Abstract: Past studies of citation coverage of Web of Science, Scopus, and Google Scholar do not demonstrate a consistent pattern that can be applied to the interdisciplinary mix of resources used in social work research. To determine the utility of these tools to social work researchers, an analysis of citing references to well-known social work journals was conducted. Web of Science had the fewest citing references and almost no variety in source format. Scopus provided higher citation counts, but the pattern of coverage was similar to Web of Science. Google Scholar provided substantially more citing references, but only a relatively small percentage of them were unique scholarly journal articles. The patterns of database coverage were replicated when the citations were broken out for each journal separately. The results of this analysis demonstrate the need to determine what resources constitute scholarly research and reflect the need for future researchers to consider the merits of each database before undertaking their research. This study will be of interest to scholars in library and information science as well as social work, as it facilitates a greater understanding of the strengths and limitations of each database and brings to light important considerations for conducting future research. Keywords: Citation analysis; Social work; Scopus; Web of Science; Google Scholar

Speedeon's Consumer Marketing Prospect Database has incredible depth and coverage. Our database includes: - 217+ Million Individuals - 118+ Million Households - 1,000+ Attributes - Predictive Models at ZIP+4 Level

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This shows the location of each of our 50K tiles. The 50K Grid is published here for Open Data and can be used as a reference system for the download of the 50m DTM.

The OSNI Largescale grid is referenced to the Irish Grid, with all of Northern Ireland being covered by a grid of 17,335 tiles. Urban areas are covered by 1:1250 tiles and rural areas at 1:2500. Each 1:1250 tile covers an area of 0.6 km x 0.4 km and each 1:2500 tile covers an area of 1.2 km x 0.8 km.Please Note for Open Data NI Users: Esri Rest API is not Broken, it will not open on its own in a Web Browser but can be copied and used in Desktop and Webmaps

A GIS polygon shapefile outlining the extent of the 14 individual DEM sections that comprise the seamless, 2-meter resolution DEM for the open-coast region of the San Francisco Bay Area (outside of the Golden Gate Bridge), extending from Half Moon Bay to Bodega Head along the north-central California coastline. The goal was to integrate the most recent high-resolution bathymetric and topographic datasets available (for example, Light Detection and Ranging (lidar) topography, multibeam and single-beam sonar bathymetry) into a seamless surface model extending offshore at least 3 nautical miles and inland beyond the +20 meter elevation contour.

United States HIC: 25 to 34 Yrs: Uncovered data was reported at 6,906.000 Person th in 2016. This records a decrease from the previous number of 7,128.400 Person th for 2015. United States HIC: 25 to 34 Yrs: Uncovered data is updated yearly, averaging 9,817.933 Person th from Mar 1999 (Median) to 2016, with 18 observations. The data reached an all-time high of 11,565.538 Person th in 2010 and a record low of 6,906.000 Person th in 2016. United States HIC: 25 to 34 Yrs: Uncovered data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.G082: Health Insurance Coverage.

The Texas Department of Insurance, Division of Workers’ Compensation (DWC) publishes a quarterly report of employers with active Texas workers’ compensation insurance coverage. Employers with coverage are called “subscribers.” Texas does not require most private employers to have workers' compensation insurance coverage. Insurance carriers report coverage data to DWC using the International Association of Industrial Accident Boards and Commissions’ (IAIABC) IAIABC Proof of Coverage (POC) Release 2.1 electronic data interchange (EDI) standard. The National Council on Workers’ Compensation Insurance (NCCI) collects the POC data for DWC. POC filings are the source of this data set. Visit the DWC Employer Coverage Page for more information.

🇺🇸 United States

Digital Terrestrial Television (DTT) Coverage Database