This database allows you to search the CDRH's database information on medical devices which may have malfunctioned or caused a death or serious injury during the years 1992 through 1996.

The former Techniques Development Laboratory (TDL) of the U.S. National Weather Service began collecting Manually-Digitized Radar (MDR) data in November 1973 from teletype reports for the eastern two-thirds of the United States. In 1978, TDL began archiving the MDR on a new grid aligned with the output grid of the Limited Fine Mesh (LFM) model, which was the model used for numerical weather prediction at the time. The new MDR archive covered the entire conterminous United States. As with the old MDR data, the new data were archived in Model Output Statistics (MOS) predictand format to support thunderstorm prediction. In addition to the "raw" MDR data, TDL also created a gridded 20-nautical-mile-resolution MDR product.

The Hopkins U.S. System Index (HUSSI) is an information resource for forest entomologists, systematic entomologists, pest management specialists, foresters, and students. It is a collection of notes on thousands of insect and damage specimens from forests or wood products taken mainly in the United States, with some from Canada, Mexico, Central America, South America and other regions. Specimens related to the records are in collections at several USDA Forest Service installations; at the U.S. National Museum, Smithsonian Institution, Washington, DC; and at several universities. The paper-based system, conceptualized by Dr. A.D. Hopkins in 1894 and formally initiated by the USDA in 1902, now contains over 160,000 written records. Some of these records have been digitized as follows. The database includes information on location, date, taxon, insect and plant host association; other searches, measurements, and quantitative data; and other information in tabular or narrative form. The original database file was designed for importing into dBase, Access, FoxBase, RBase, Paradox, and other XBase-type programs. The data dictionary describes information entered in the 16 fields abstracted from the Hopkins U.S. System records. Then you can structure specific queries and reports that show:

Plant hosts Insect hosts Parasites & predators Geographic distribution Collection dates and collectors Location of original written notes Location of insect or damage specimens Resources in this dataset:Resource Title: Data files rezipped October 2015. File Name: allwest2.zipResource Description: The original allwest.exe data package offered by U.S. Forest Service was opened using WinZip 15 (Windows 7) and saved as a zip archive suitable for opening with typical archive utilities on both Windows and Macintosh. Downloaded in October 2015 from http://www.fs.fed.us/pnw/mdr/past/bmnri/research/database/hussi.shtml.

Includes:

README.TXT : Instructions from http://www.fs.fed.us/pnw/mdr/past/bmnri/research/database/hussi.shtml

TITLPAGE.TXT : Title page.

HUSINTRO.TXT : Background information on the Hopkins U.S. System and the Hopkins U.S. System Index (HUSSI).

HUSSTAT.TXT : Description of HUSSI files at each repository.

HUSREPOS.TXT : List of repositories (as of 1986) for Hopkins U.S. System records described in HUSSI.

HUSDTDIC.TXT : Data dictionary for HUSSI records.

DBDESAW2.TXT : Description of ALLWEST2 database.

ALLWEST2.DBF : HUSSI records from all western USDA Forest Service repositories (as of 1986), except PSWNB records from notebooks at the Pacific Southwest Experiment Station, Berkeley, CA. PSWNB records are in a seperate archive.Resource Title: Flat version of the HUSSI database. File Name: ALLWEST2.csvResource Description: The file ALLWEST2.DBF from ALLWEST.EXE was converted to a comma separated values file using LibreOffice 5.0.2.2. This appears to include all 37,198 records with 16 columns as described in the data dictionary. Suitable for use with most applications that can handle CSV input.Resource Title: Original text version of HUSSI data dictionary. File Name: HUSDTDIC.TXTResource Description: Included in ALLWEST archive downloaded from http://www.fs.fed.us/pnw/mdr/past/bmnri/research/database/hussi.shtml Title: Original list of repositories (as of 1986) for Hopkins U.S. System records described in HUSSI.. File Name: HUSREPOS.TXTResource Description: Included in ALLWEST2 archive downloaded from http://www.fs.fed.us/pnw/mdr/past/bmnri/research/database/hussi.shtml

Expands all the acronyms of the repositories holding physical cards represented in the database.Resource Title: Original README.TXT from the ALLWEST archive. File Name: README.TXTResource Description: Original README.TXT from the ALLWEST archive. The explanations appear in the zipped archive, and have been used as a basis for this dataset description. Includes obsolete instructions for using self-extracting archive on Windows 95 and Windows 3.x operating systems.Resource Title: Original Database Description from ALLWEST2 archive. File Name: DBDESAW2.TXTResource Description: Included in ALLWEST2 archive downloaded in October 2015 from http://www.fs.fed.us/pnw/mdr/past/bmnri/research/database/hussi.shtml. Title: Original introductory text from ALLWEST2 archive. File Name: HUSINTRO.TXTResource Description: Included in ALLWEST archive downloaded in October 2015 from http://www.fs.fed.us/pnw/mdr/past/bmnri/research/database/hussi.shtml Title: Original title page for HUSSI. File Name: TITLPAGE.TXTResource Description: Included in ALLWEST archive downloaded from http://www.fs.fed.us/pnw/mdr/past/bmnri/research/database/hussi.shtml Title: Original statistics file for HUSSI records . File Name: HUSSTAT.TXTResource Description: A description of record types for Hopkins U.S. System files and number of HUSSI records for each repository as of March 1991. Part of the ALLWEST2 archive downloaded October 2015 from http://www.fs.fed.us/pnw/mdr/past/bmnri/research/database/hussi.shtml

This dataset compiles data from the MDR-Supercon superconducting database into question-answer formats used to benchmark Large Language Models (LLMs), for which I could find DOIs for the cited papers. This database is constructed from the scrits at https://github.com/louisprimeau/pdf_processor in the make_database/. There you can find the exact procedure that was used. This database randomly divides the papers (0.8 for train, 0.1 for test, 0.1 for val), and makes a json line for each. The… See the full description on the dataset page: https://huggingface.co/datasets/lprimeau/MDR-Supercon-questions.

Complete dataset: MDR's 0 incidents, security score trends, compliance status, and comparative benchmarks against 32,996 industry peers.

MDR SuperCon Datasheet is a re-edited datasheet of SuperCon, a superconductivity database that was originally published as the MatNavi database. A DOI will be assigned for each update to manage the version. When using the data and publishing the results, please follow the MDR terms of use and properly indicate the source corresponding to the version: (Example of statement) This study used the MDR SuperCon Datasheet (https://doi.org/10.48505/nims.4487), a numerical data sheet for superconducting materials, which is made public by the National Institute for Materials Science (NIMS). Readme for this datasheet is available at https://doi.org/10.48505/nims.4488. Latest version of this datasheet may be available at https://doi.org/10.48505/nims.3739.

This dataset consists of X-ray absorption fine structure (XAFS) spectra at Rh K-edge of Rhodium(III) oxide measured at SPring-8 BL14B2, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR

The Medical Electronic Device History Record (eDHR) software market is booming, projected to reach $309 million by 2025 and growing at an 8.6% CAGR. Discover key trends, drivers, and leading companies shaping this rapidly expanding sector. Learn about market segmentation by device class and software type.

Find details of Mdr Brands Buyer/importer data in US (United States) with product description, price, shipment date, quantity, imported products list, major us ports name, overseas suppliers/exporters name etc. at sear.co.in.

The SuperCon database, initiated in 1987 following the discovery of high-temperature superconductors, compiled data on various superconducting materials, including their material composition, structure, properties, and processes. The database initially focused on high-Tc oxide superconductors, metal-alloy superconductors, and organic superconductors, with data extracted from academic papers and other sources. However, with the decommissioning of its web-based interface in 2021, it was now published as a datasheet publicly available at MDR, a materials data repository managed by the National Institute for Materials Science, Japan.

This dataset contains the chemical formula, critical temperature, and the associated citation for superconductor materials. Here, we provided the raw.tsv file that comes directly from the source with 26k entries, plus a preprocessed and cleaned featurized.csv. The latter is processed by magpie, among many other featurizers in the matminer package for feature generation based on the chemical formula, containing about 16k entries and 140+ features and ready for analysis and machine learning.

The features in featurized.csv include:

1. Stoichiometry information
2. Element properties
3. Electron properties
4. Ion properties.

For more details on these features, refer to this paper.

Evidence-based product rating derived from 6 peer-reviewed scientific citations

This is the original dataset for ID 171 Zr90O10 in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/171). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.

This dataset consists of X-ray absorption fine structure (XAFS) spectra at Co K-edge of Cobalt(II) hydroxide measured at SPring-8 BL14B2, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR

Abstract: The study aimed to assess the coverage and reliability of drug-resistant tuberculosis (DR-TB) case closure in the Information System on Special Treatments for Tuberculosis (SITE-TB in Portuguese) in Brazil from 2013 to 2016, based on probabilistic linkage with the Information System on Diseases of Notification (SINAN), Laboratory Environment Manager (GAL), and Mortality Information System (SIM). The study population consisted of DR-TB cases that initiated treatment from 2013 to 2016 in Brazil. Linkage with SINAN assessed the coverage and estimated underreporting of DR-TB cases. The capture-recapture method was applied, using the Chapman estimator. Linkage with GAL identified cases diagnosed by the laboratory that had not been reported to SITE-TB. Linkage with SIM assessed the reliability of case closure by death in SITE-TB, using the kappa coefficient. We estimated a population of 2,945 (95%CI: 2,365-3,602) new cases of DR-TB with the Chapman estimator. We located 1,626 individuals in the GAL database that had not been reported to SITE-TB, even with laboratory confirmation of drug resistance. PABAK (prevalance and bias adjusted kappa) of 0.86 (95%CI: 0.85-0.87) was classified as excellent for the agreement in death as the outcome between the SITE-TB and SIM databases. The results pointed to persistent gaps related to diagnosis and treatment of DR-TB in Brazil. Underreporting of DR-TB cases in the SITE-TB database poses a challenge for TB control. Identification of these individuals and early start of treatment should be prioritized in health services.

Find details of Mdr Brands Inc Buyer/importer data in US (United States) with product description, price, shipment date, quantity, imported products list, major us ports name, overseas suppliers/exporters name etc. at sear.co.in.

View Mdr Electrical Supply Inc import export trade data, including shipment records, HS codes, top buyers, suppliers, trade values, and global market insights.

Column list: YEAR, MDR, GENERIC_NAME, BRAND_NAME, MANUFACTURER_NAME, REPORT

Mdr Logistics recorded an import turnover of USD 0 and an export turnover of USD 3,638,690.21 million between November 2024 and October 2025. Explore detailed trade value insights, supply chain analytics, HS code-wise data, shipment history, partner countries, customs trade values, top import and export commodities with pricing, buyers, suppliers, ports, and key competitors in Malaysia.

Explore detailed Turbocharger import data of Mdr Motorsports in the USA—product details, price, quantity, origin countries, and US ports.

Explore detailed Electric Strip import data of Mdr Electrical Supply Inc in the USA—product details, price, quantity, origin countries, and US ports.