The OrienTel Egypt MCA (Modern Colloquial Arabic) database comprises 750 Egyptian speakers (398 males, 352 females) recorded over the Egyptian fixed and mobile telephone network. This database is partitioned into 1 CD and 1 DVD. The speech databases made within the OrienTel project were validated by SPEX, the Netherlands, to assess their compliance with the OrienTel format and content specifications.Speech samples are stored as sequences of 8-bit 8 kHz A-law. Each prompted utterance is stored in a separate file. Each signal file is accompanied by an ASCII SAM label file which contains the relevant descriptive information.Each speaker uttered the following items:•1 isolated single digit•1 sequence of 10 isolated digits•5 connected digits : 1 prompt sheet number (6 digits), 1 telephone number (6-15 digits), 1 credit card number (14-16 digits), 1 PIN code (6 digits), 1 spontaneous phone number•2 currency money amounts•1 natural number•4 dates : 1 spontaneous (date or year of birth), 1 prompted date, 1 relative or general date expression, 1 prompted date phrase (Islamic calendar)•2 time phrases : 1 time of day (spontaneous), 1 time phrase (word style)•3 spelled words : 1 spontaneous (own forename), 1 city name, 1 real word for coverage•5 directory assistance utterances : 1 spontaneous, own forename, 1 city of childhood (spontaneous), 1 frequent city name, 1 frequent company name, 1 common forename and surname•2 yes/no questions : 1 predominantly ”yes” question, 1 predominantly ”no” question•6 application keywords/keyphrases•1 word spotting phrase using embedded application words•4 phonetically rich words•9 phonetically rich sentences•3 spontaneous items (for control)The following age distribution has been obtained: 379 speakers are between 16 and 30, 291 speakers are between 31 and 45, 80 speakers are between 46 and 60.A pronunciation lexicon with a phonemic transcription in SAMPA is also included.

This file includes the different numerical and nominal data used to build the Multiple Correspondence Analysis (MCA) graphs displayed in Fig 3. The first sheets in this file represent the raw data. The final three sheets that include the graphs, are X and Y coordinates generated by SAS/STAT software, Version [8] 2014 (SAS Institute Inc., Cary, NC, USA). (XLSX)

This Dataset contains Year and Registrars of Companies (RoC)-wise statistics of total number of Indian, Foreign and limited liability partnership (LLP) Companies registered in India

Note: Data is not available in MCA Website for Indian and LLP Companies during 2021 November and 2022 March

The OrienTel Morocco MCA (Modern Colloquial Arabic) database comprises 772 Moroccan speakers (383 males, 389 females) recorded over the Moroccan fixed and mobile telephone network. This database is partitioned into 1 CD and 1 DVD. The speech databases made within the OrienTel project were validated by SPEX, the Netherlands, to assess their compliance with the OrienTel format and content specifications.Speech samples are stored as sequences of 8-bit 8 kHz A-law. Each prompted utterance is stored in a separate file. Each signal file is accompanied by an ASCII SAM label file which contains the relevant descriptive information.Each speaker uttered the following items:•1 isolated single digit•1 sequence of 10 isolated digits•5 connected digits : 1 prompt sheet number (6 digits), 1 telephone number (6-15 digits), 1 credit card number (14-16 digits), 1 PIN code (6 digits), 1 spontaneous phone number•2 currency money amounts•1 natural number•4 dates : 1 spontaneous (date or year of birth), 1 prompted date, 1 relative or general date expression, 1 prompted date phrase (Islamic calendar)•2 time phrases : 1 time of day (spontaneous), 1 time phrase (word style)•3 spelled words : 1 spontaneous (own forename), 1 city name, 1 real word for coverage•5 directory assistance utterances : 1 spontaneous, own forename, 1 city of childhood (spontaneous), 1 frequent city name, 1 frequent company name, 1 common forename and surname•2 yes/no questions : 1 predominantly ”yes” question, 1 predominantly ”no” question•6 application keywords/keyphrases•1 word spotting phrase using embedded application words•4 phonetically rich words•9 phonetically rich sentences•3 spontaneous items (for control)The following age distribution has been obtained: 381 speakers are between 16 and 30, 262 speakers are between 31 and 45, 129 speakers are between 46 and 60.A pronunciation lexicon with a phonemic transcription in SAMPA is also included.

This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

Data fields requiring description are detailed below.

APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.

LICENSE STATUS: 'AAI' means the license was issued.

Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.

Data Owner: Business Affairs and Consumer Protection

Time Period: Current

Frequency: Data is updated daily

The OrienTel Tunisia MCA (Modern Colloquial Arabic) database comprises 792 Tunisian speakers (426 males, 366 females) recorded over the Tunisian fixed and mobile telephone network. This database is partitioned into 1 CD and 1 DVD. The speech databases made within the OrienTel project were validated by SPEX, the Netherlands, to assess their compliance with the OrienTel format and content specifications.Speech samples are stored as sequences of 8-bit 8 kHz A-law. Each prompted utterance is stored in a separate file. Each signal file is accompanied by an ASCII SAM label file which contains the relevant descriptive information.Each speaker uttered the following items:•1 isolated single digit•1 sequence of 10 isolated digits•5 connected digits : 1 prompt sheet number (6 digits), 1 telephone number (6-15 digits), 1 credit card number (14-16 digits), 1 PIN code (6 digits), 1 spontaneous phone number•2 currency money amounts•1 natural number•4 dates : 1 spontaneous (date or year of birth), 1 prompted date, 1 relative or general date expression, 1 prompted date phrase (Islamic calendar)•2 time phrases : 1 time of day (spontaneous), 1 time phrase (word style)•3 spelled words : 1 spontaneous (own forename), 1 city name, 1 real word for coverage•5 directory assistance utterances : 1 spontaneous, own forename, 1 city of childhood (spontaneous), 1 frequent city name, 1 frequent company name, 1 common forename and surname•2 yes/no questions : 1 predominantly ”yes” question, 1 predominantly ”no” question•6 application keywords/keyphrases•1 word spotting phrase using embedded application words•4 phonetically rich words•9 phonetically rich sentences•2+3 spontaneous items (for control)•1 free spontaneous speechThe following age distribution has been obtained: 516 speakers are between 16 and 30, 193 speakers are between 31 and 45, 82 speakers are between 46 and 60, 1 speaker over 60.A pronunciation lexicon with a phonemic transcription in SAMPA is also included.

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Functional imaging using genetically encoded indicators, such as GCaMP, has become a foundational tool for in vivo experiments and allows for the analysis of cellular dynamics, sensory processing, and cellular communication. However, large scale or complex functional imaging experiments pose analytical challenges. Many programs have worked to create pipelines to address these challenges, however, most platforms require proprietary software, impose operational restrictions, offer limited outputs, or require significant knowledge of various programming languages, which collectively can limit utility. To address this, we designed MCA (a Multicellular Analysis toolkit) to work with ImageJ, a widely used open-source software which has been the standard image analysis platform for the last 30 years. We developed MCA to be visually intuitive, utilizing ImageJ’s platform to generate new images based on completed tasks so users can visually see each step in the analysis pipeline. In addition, MCA implements a user-friendly GUI providing a simple interface which resembles

other native ImageJ plugins. We incorporated functionality for rigid registration to correct motion artifacts, algorithms for cell body prediction, and methods for annotating cells and exporting data. For cell prediction, we trained a custom model in Cellpose 2.0 for segmentation of nuclei expressing pan-neuronal nuclear localized GCaMP in zebrafish. We validated the accuracy of MCA output to previously published zebrafish calcium imaging data which elicited visually evoked neuronal responses. To show the versatility of MCA, we also show that our software can be utilized for multiple sensory modalities, brain regions, and multiple model organisms including Drosophila and mouse. Together these data show that MCA is viable for extracting calcium dynamics in a user-friendly environment for multiple forms of functional imaging.

The OrienTel Jordan MCA (Modern Colloquial Arabic) database comprises 757 Jordanian speakers (393 males, 364 females) recorded over the Jordanian fixed and mobile telephone network. This database is stored on 1 DVD. The speech databases made within the OrienTel project were validated by SPEX, the Netherlands, to assess their compliance with the OrienTel format and content specifications.

Speech samples are stored as sequences of 8-bit 8 kHz A-law. Each prompted utterance is stored in a separate file. Each signal file is accompanied by an ASCII SAM label file which contains the relevant descriptive information.

Each speaker uttered the following items:

• 1 isolated single digit

• 1 sequence of 10 isolated digits

• 5 connected digits : 1 prompt sheet number (6 digits), 1 telephone number (6-15 digits), 1 credit card number (14-16 digits), 1 PIN code (6 digits), 1 spontaneous phone number

• 2 currency money amounts

• 1 natural number

• 4 dates : 1 spontaneous (date or year of birth), 1 prompted date, 1 relative or general date expression, 1 prompted date phrase (Islamic calendar)

• 2 time phrases : 1 time of day (spontaneous), 1 time phrase (word style)

• 3 spelled words : 1 directory assistance personal first name, 1 city name, 1 real word for coverage

• 5 directory assistance utterances : 1 spontaneous, own forename, 1 city of childhood (spontaneous), 1 frequent city name, 1 frequent company name, 1 common forename and surname

• 2 yes/no questions : 1 predominantly ”yes” question, 1 predominantly ”no” question

• 6 application keywords/keyphrases

• 1 word spotting phrase using embedded application words

• 4 phonetically rich words

• 9 phonetically rich sentences

• 3+2 spontaneous items (for control)

• 1 free spontaneous speech (more than 1 sentence)

The following age distribution has been obtained: 427 speakers are between 16 and 30, 230 speakers are between 31 and 45, 100 speakers are between 46 and 60.

A pronunciation lexicon with a phonemic transcription in SAMPA is also included.

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South Korea Imports: ICT: IAB: MCA: Test Analyzer data was reported at 216,926,010.000 USD in Mar 2025. This records an increase from the previous number of 178,632,806.000 USD for Feb 2025. South Korea Imports: ICT: IAB: MCA: Test Analyzer data is updated monthly, averaging 83,439,727.000 USD from Jan 1996 (Median) to Mar 2025, with 351 observations. The data reached an all-time high of 233,204,757.000 USD in Mar 2021 and a record low of 18,373,594.000 USD in Aug 1998. South Korea Imports: ICT: IAB: MCA: Test Analyzer data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.JA065: Trade Statistics: Import: Information & Communication Technology Industry.

SOURCE

This data was obtained from the Maricopa County Assessor under the search "Fast Food". The query has approximately 1342 results, with only 1000 returned due MCA Data Policies.

DATA CLEANING

Due to some Subdivision Name values posessing unescaped commas that interfered with Pandas' ability to properly align the columns, some manual cleaning in Libre Office was performed by me.

Aside from a handful of Null values, the data is fairly clean and requires little from Pandas.

NULL VALUES

Here are the sums and percentage of NULLS in the dataframe. Interestingly, there are 17 NULLS that do not have any physical addresses. This amounts to 1.7% of values for the Address, City, and Zip, and are all corresponding rows for those missing values.

I have looked into a couple of these on the Maricopa County Assessor's GIS Portal, and they do not appear to have any assigned physical addresses. This is a good avenue of exploration for EDA. Possibly an error that could be corrected, or some obscure legal reason, but interesting nonetheless.

Additionally, there are 391 NULLS in Subdivision Name accounting for 39.1%. This is a feature that I am interested in exploring to determine if there are any predominant groups. It could also generate a list of Entities that can be searched later to see if the dataset can be enriched beyond it's initial 1,000 record limit.

There are 348 NULLS in the MCR column. This is the definition according to the MCA Glossary

MCR (MARICOPA COUNTY RECORDER NUMBER)
Often associated with recorded plat maps.

This seems to be an uninteresting nominal value, so I will drop this columns.

While Property Type and Rental have no NULLS, 100% of those values are Fast Food Restaurant and N (for No), and therefore offer no useful information, and will be dropped.

I will leave the S/T/R column, although it also seems to be uninteresting nominal values, I am curious if there are predominent groups, and since it also has no NULLS, might be useful for further data enrichment.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Paleoclimatology Modeling. The data include parameters of paleoclimatic modeling with a geographic location of Global. The time period coverage is from Unavailable begin date to Unavailable end date in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

Explore detailed Mca import data of Mitsui Chemicals America Inc in the USA—product details, price, quantity, origin countries, and US ports.

VA's Managerial Cost Accounting System is the designated Managerial Cost Accounting (MCA) System of the Department of Veterans Affairs. This system is the Department's only means of complying with Public Laws (e.g., PL 101-576 - the Chief Financial Officers Act of 1990) that mandate the use of a MCA system that can assign costs to the product level. MCA cost data is used at all levels of the VA for important functions, such as cost recovery (billing), budgeting and resource allocation. Additionally, the system contains a rich repository of clinical information which is used to promote a more proactive approach to the care of high risk (i.e., diabetes and acute coronary patients) and high cost patients. The data in MCA is also used to calculate and measure the productivity of physicians and other care providers.

This resource contains the all relevant data for its associated manuscript by La Follette et al. on the topic of multiple criteria analysis on rock moisture and streamflow in a lumped conceptual hydrologic model. Specifically, this resource includes outputs of the Elder Creek model, as well as calibration and forcing data. See the readme file for a detailed description. Note that two older versions of these data exist, which do not correspond to any manuscript.

Non-traditional data signals from social media and employment platforms for MCA stock analysis

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