MADB is a bibliographic database on physico-chemical properties of selected Minor Actinide compounds and alloys. The materials and properties are selected based on their importance in the advanced nuclear fuel cycle options. This list is updated up to 2008.

The Database & Directory Publishing industry in Massachusetts is expected to decline an annualized -x.x% to $x.x million over the five years to 2025, while the national industry will likely decline at -x.x% during the same period. Industry establishments decreased an annualized -x.x% to xx locations. Industry employment has decreased an annualized -x.x% to xxx workers, while industry wages have decreased an annualized -x% to $x.x million.

View records about wells in Massachusetts, including location, well depth, and condition. Data spans 1962 to present day.

This study was based on the sediment quality triad (SQT) approach. The purpose was to define the extent and magnitude of contamination and biological effects associated with contaminants in the Massachusetts/Cape Cod Bays, Stellwagen Bank, and Boston Harbor. A stratified probabilistic sampling design was utilized to characterize the systems in terms of chemical contamination and benthic infaunal community structure. In addition, samples were taken in the vicinity of the new Boston sewage outfall in Massachusetts Bay and in Boston Harbor where the sewage outfall used to discharge. Toxicity bioassays were not done. A secondary objective was to coordinate with the NOAA NMFS to collect sediment and fish tissue samples at previously sampled Benthic Surveillance Program sites. This file contains sediment and water data measured in all areas sampled in 2004.

Motivations for the creation of the dataset The main objective of the creation of this dataset was to create a database listing the expense notes of the mayors who had responded positively to the requests made on the site requesting access to an administrative document, Madada.fr. The database lists only the expense notes that the town halls have kindly communicated publicly on Madada.fr. Indeed, the aim was to study the exact content of the mayors’ expense notes since 2020 available on the platform. We received no funding, the database was created as part of an article written for a student magazine (https://chicane-lemag.fr/) of the Masters of Information of Sciences Po Aix and EJCAM. The article entitled “What does the analysis of data on Mayors’ expense reports in 2022 tell us?” is available at this address: https://chicane-lemag.fr/16/2023/11/27/analyse-donnees-notes-de-frais-elus/ ## Composition of the dataset The dataset contains on each line the information of a specific expense note between 2020 and 2023 according to: — Date (day/month/year) — Community concerned — Supplier’s name — SIRET number — Main activity of the supplier — Object of expenditure — Supporting document — Amount in euros — Category of expenditure ## Data collection process The data were collected manually. Two students ensured this data collection. The collection took place from 1 October 2023 to 10 November 2023. They were collected from requests for expense reports on Madada.fr. They therefore represent not all the mayors of France but only those who have communicated their notes on the platform. ## Data pre-processing The data were cleaned and prepared by a careful reading of the supporting documents submitted by the mayors in order to justify their expense reports. The information was collected and then transferred to an Airtable database planned to identify these expense reports. ## Dissemination of the dataset The data is made available to all on data.gouv.fr under ODbL license. ## Dataset maintenance There are no plans to update these data. ## Legal and ethical considerations The publication of this data is governed by the right of access to administrative documents, as provided for in Book III of the Code of Relations between the Public and the Administration. The Council of State ruled that “notes of expenses and receipts of travel as well as notes of catering expenses and receipts of representation expenses of local elected officials or public officials constitute administrative documents, which may be communicated to any person who so requests” (Council of State 52521, reading of 8 February 2023).

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). In addition to the preceding, required text, the Abstract should also describe the projection and coordinate system as well as a general statement about horizontal accuracy.

.MA Whois Database, discover comprehensive ownership details, registration dates, and more for .MA TLD with Whois Data Center.

View records for development projects currently under review or previously reviewed by the MEPA office. Look up projects by name, municipality, and location.

Microarray data management and analysis system for NCI / Center for Cancer Research scientists / collaborators. Data is secured and backed up on a regular basis, and investigators can authorize levels of access privileges to their projects, allowing data privacy while still enabling data sharing with collaborators.

.MA.GOV.BR Whois Database, discover comprehensive ownership details, registration dates, and more for .MA.GOV.BR TLD with Whois Data Center.

The Database, Storage & Backup Software Publishing industry in Massachusetts is expected to grow an annualized x.x% to $x.x billion over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments increased an annualized x.x% to xxx locations. Industry employment has increased an annualized x.x% to x,xxx workers, while industry wages have increased an annualized x% to $x.x billion.

• Entries for English-Spanish: Scientific research & mathematical sciences (906 entries), Geosciences (10,215), Computer science, electronics & telecommunications (70,580), Industry (47,578), Transport & Maintenance (12,291), Economy (145,572), Biological sciences (38,989), Communication & media (8,143), Chemical & physical sciences (27,467). * Entries for English-French-German-Spanish: Environment (36,658), Health (66,727), Agriculture & food (25,975), Construction & public works (8,429), Law & policy (56,578), Sports & Leisure (17,312) * Two specialized lexicons: Spanish-English and English-French-German without domain codes: electronics, telematics, law, taxes, customs, etc. (550,000 entries). * Two general lexicons: Spanish-English-French-German and Spanish-English-French-German-Portuguese-Italian (83,000 entries).This terminological database contains, for each domain, a sub-domain indication is given (from 2 sub-domains for Scientific research to 39 for Sports & leisure). Each entry consists of a definition, phraseological unit, abbreviation, usage information, grammatical labels. Format: ASCII

Comprehensive database of residential and commercial building permits in Massachusetts including Boston, Worcester, Springfield, Cambridge, Lowell, and surrounding communities (where available).

• Entries for English-Spanish: Scientific research & mathematical sciences (906 entries), Geosciences (10,215), Computer science, electronics & telecommunications (70,580), Industry (47,578), Transport & Maintenance (12,291), Economy (145,572), Biological sciences (38,989), Communication & media (8,143), Chemical & physical sciences (27,467). * Entries for English-French-German-Spanish: Environment (36,658), Health (66,727), Agriculture & food (25,975), Construction & public works (8,429), Law & policy (56,578), Sports & Leisure (17,312) * Two specialized lexicons: Spanish-English and English-French-German without domain codes: electronics, telematics, law, taxes, customs, etc. (550,000 entries). * Two general lexicons: Spanish-English-French-German and Spanish-English-French-German-Portuguese-Italian (83,000 entries).This terminological database contains, for each domain, a sub-domain indication is given (from 2 sub-domains for Scientific research to 39 for Sports & leisure). Each entry consists of a definition, phraseological unit, abbreviation, usage information, grammatical labels. Format: ASCII

• Entries for English-Spanish: Scientific research & mathematical sciences (906 entries), Geosciences (10,215), Computer science, electronics & telecommunications (70,580), Industry (47,578), Transport & Maintenance (12,291), Economy (145,572), Biological sciences (38,989), Communication & media (8,143), Chemical & physical sciences (27,467).
• Entries for English-French-German-Spanish: Environment (36,658), Health (66,727), Agriculture & food (25,975), Construction & public works (8,429), Law & policy (56,578), Sports & Leisure (17,312)
• Two specialized lexicons: Spanish-English and English-French-German without domain codes: electronics, telematics, law, taxes, customs, etc. (550,000 entries).
• Two general lexicons: Spanish-English-French-German and Spanish-English-French-German-Portuguese-Italian (83,000 entries).

This terminological database contains, for each domain, a sub-domain indication is given (from 2 sub-domains for Scientific research to 39 for Sports & leisure). Each entry consists of a definition, phraseological unit, abbreviation, usage information, grammatical labels. Format: ASCII

.ORG.MA Whois Database, discover comprehensive ownership details, registration dates, and more for .ORG.MA TLD with Whois Data Center.

Abstract MIMIC-III is a large, freely-available database comprising deidentified health-related data associated with over 40,000 patients who stayed in critical care units of the Beth Israel Deaconess Medical Center between 2001 and 2012 [1]. The MIMIC-III Clinical Database is available on PhysioNet (doi: 10.13026/C2XW26). Though deidentified, MIMIC-III contains detailed information regarding the care of real patients, and as such requires credentialing before access. To allow researchers to ascertain whether the database is suitable for their work, we have manually curated a demo subset, which contains information for 100 patients also present in the MIMIC-III Clinical Database. Notably, the demo dataset does not include free-text notes.

Background In recent years there has been a concerted move towards the adoption of digital health record systems in hospitals. Despite this advance, interoperability of digital systems remains an open issue, leading to challenges in data integration. As a result, the potential that hospital data offers in terms of understanding and improving care is yet to be fully realized.

MIMIC-III integrates deidentified, comprehensive clinical data of patients admitted to the Beth Israel Deaconess Medical Center in Boston, Massachusetts, and makes it widely accessible to researchers internationally under a data use agreement. The open nature of the data allows clinical studies to be reproduced and improved in ways that would not otherwise be possible.

The MIMIC-III database was populated with data that had been acquired during routine hospital care, so there was no associated burden on caregivers and no interference with their workflow. For more information on the collection of the data, see the MIMIC-III Clinical Database page.

Methods The demo dataset contains all intensive care unit (ICU) stays for 100 patients. These patients were selected randomly from the subset of patients in the dataset who eventually die. Consequently, all patients will have a date of death (DOD). However, patients do not necessarily die during an individual hospital admission or ICU stay.

This project was approved by the Institutional Review Boards of Beth Israel Deaconess Medical Center (Boston, MA) and the Massachusetts Institute of Technology (Cambridge, MA). Requirement for individual patient consent was waived because the project did not impact clinical care and all protected health information was deidentified.

Data Description MIMIC-III is a relational database consisting of 26 tables. For a detailed description of the database structure, see the MIMIC-III Clinical Database page. The demo shares an identical schema, except all rows in the NOTEEVENTS table have been removed.

The data files are distributed in comma separated value (CSV) format following the RFC 4180 standard. Notably, string fields which contain commas, newlines, and/or double quotes are encapsulated by double quotes ("). Actual double quotes in the data are escaped using an additional double quote. For example, the string she said "the patient was notified at 6pm" would be stored in the CSV as "she said ""the patient was notified at 6pm""". More detail is provided on the RFC 4180 description page: https://tools.ietf.org/html/rfc4180

Usage Notes The MIMIC-III demo provides researchers with an opportunity to review the structure and content of MIMIC-III before deciding whether or not to carry out an analysis on the full dataset.

CSV files can be opened natively using any text editor or spreadsheet program. However, some tables are large, and it may be preferable to navigate the data stored in a relational database. One alternative is to create an SQLite database using the CSV files. SQLite is a lightweight database format which stores all constituent tables in a single file, and SQLite databases interoperate well with a number software tools.

DB Browser for SQLite is a high quality, visual, open source tool to create, design, and edit database files compatible with SQLite. We have found this tool to be useful for navigating SQLite files. Information regarding installation of the software and creation of the database can be found online: https://sqlitebrowser.org/

Release Notes Release notes for the demo follow the release notes for the MIMIC-III database.

Acknowledgements This research and development was supported by grants NIH-R01-EB017205, NIH-R01-EB001659, and NIH-R01-GM104987 from the National Institutes of Health. The authors would also like to thank Philips Healthcare and staff at the Beth Israel Deaconess Medical Center, Boston, for supporting database development, and Ken Pierce for providing ongoing support for the MIMIC research community.

Conflicts of Interest The authors declare no competing financial interests.

References Johnson, A. E. W., Pollard, T. J., Shen, L., Lehman, L. H., Feng, M., Ghassemi, M., Mo...

The MIT-BIH Arrhythmia Database contains 48 half-hour excerpts of two-channel ambulatory ECG recordings, obtained from 47 subjects studied by the BIH Arrhythmia Laboratory between 1975 and 1979. Twenty-three recordings were chosen at random from a set of 4000 24-hour ambulatory ECG recordings collected from a mixed population of inpatients (about 60%) and outpatients (about 40%) at Boston's Beth Israel Hospital; the remaining 25 recordings were selected from the same set to include less common but clinically significant arrhythmias that would not be well-represented in a small random sample.

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The Market Access Database is an important operational tool of the European Union's Market Access Strategy, supporting a continuous three-way exchange of information between the EU institutions, Member States and European business. The Market Access Strategy is a key pillar of the EU's Trade Policy which aims to reduce the obstacles faced by European exporters of goods and services. The Market Access Database is a free, interactive, easy to use service providing: Information about Market Access conditions in non-EU countries.

• A systematic way for the European Commission to follow up complaints from businesses about barriers to trade in non-EU countries.
• A means of ensuring that our trading partners are abiding by their international commitments.
• Better input for defining the EU's trade policy objectives on further trade liberalisation in the framework of the World Trade Organisation (e.g. Doha Development Agenda) and new free trade agreements between the EU and preferential partners (e.g. EU - MERCOSUR).

Access

Access to material via search interfaces, including:

• Complaint register
• Applied Tariff Database
• Trade Barriers Database
• SPS Database
• Statistical Database

Openness

Free to be re-used as long as attribution is given. The Copyright notice on the European Commission website states:

Reproduction is authorised, provided the source is acknowledged, save where otherwise stated.

Where prior permission must be obtained for the reproduction or use of textual and multimedia information (sound, images, software, etc.), such permission shall cancel the above-mentioned general permission and shall clearly indicate any restrictions on use.

Access to the Exporter's Guide and Applied Tariffs sections is limited to those within EU countries:

Access to the Sectoral and Trade Barriers Database, SPS Database, Statistics and Studies sections is free. However, information in the Exporter's Guide and Applied Tariffs sections is restricted to users in the Member States of the European Union and Acceding or Candidate Countries. From a technical point of view, if the computer on which your browser is running is not directly connected to the internet via an Internet Service Provider located in one of those countries, then you are prohibited from viewing the Exporter's Guide and Applied Tariffs data for any purpose.

Script identification is a necessary step in some applications involving document analysis in a multi-script and multi-language environment. This paper provides a new database for benchmarking script identification algorithms, which contains both printed and handwritten documents collected from a wide variety of scripts, such as Arabic, Bengali (Bangla), Gujarati, Gurmukhi, Devanagari, Japanese, Kannada, Malayalam, Oriya, Roman, Tamil, Telugu, and Thai. The dataset consists of 1,135 documents scanned from local newspapers and handwritten letters and notes from different native writers. Further, these documents are segmented into lines and words, comprising a total of 13,979 and 86,655 lines and words, respectively, in the dataset. Easy-to-go benchmarks are proposed with handcrafted and deep learning methods. The benchmark includes results at the document, line, and word levels with printed and handwritten documents. Results of script identification independent of the document/line/word level and independent of the printed/handwritten letters are also given.

https://www.dropbox.com/s/vtmy0l4gjxun0oe/Multiscript_SIW_Database_Feb25_acceptedPaper.zip?dl=0

Please, cite our work if you find useful the database:

M. A. Ferrer, A. Das, M. Diaz, A. Morales, C. Carmona-Duarte, U. Pal (2022), "MDIW-13: New Database and Benchmark for Script Identification", Multimedia Tools and Applications, Pages 1-14. Accepted

A. Das, M. A. Ferrer, A. Morales, M. Diaz, U. Pal, et al. "SIW 2021: ICDAR Competition on Script Identification in the Wild". 16th International Conference on Document Analysis and Recognition (ICDAR 2021). Lecture Notes in Computer Science, vol 12824. Springer. Sep. 5-10, 2021, Lausanne, Switzerland, pp. 738-753. doi: 10.1007/978-3-030-86337-1_49