15 datasets found
  1. d

    Emsi dataset

    • catalog.data.gov
    • s.cnmilf.com
    Updated Oct 8, 2022
    + more versions
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    Office of Assistant Secretary for Policy (2022). Emsi dataset [Dataset]. https://catalog.data.gov/dataset/emsi-dataset
    Explore at:
    Dataset updated
    Oct 8, 2022
    Dataset provided by
    Office of Assistant Secretary for Policy
    Description

    Data used for the Meta-Analysis of 46 Career Pathways Impact and data from four large nationally representative longitudinal surveys, as well as licensed data on occupational transitions from online career profiles, to examine workers’ career paths and wages for the Career Trajectories and Occupational Transitions Study.

  2. Uždaroji akcinė bendrovė "EMSI" - turnover, revenue, profit | Okredo

    • okredo.com
    Updated Jul 29, 2025
    + more versions
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    Okredo (2025). Uždaroji akcinė bendrovė "EMSI" - turnover, revenue, profit | Okredo [Dataset]. https://okredo.com/en-lt/company/uzdaroji-akcine-bendrove-emsi-120643955/finance
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    Dataset updated
    Jul 29, 2025
    Dataset authored and provided by
    Okredo
    License

    https://okredo.com/en-lt/general-ruleshttps://okredo.com/en-lt/general-rules

    Time period covered
    2020 - 2024
    Area covered
    Lithuania
    Variables measured
    Equity (€), Turnover (€), Net Profit (€), CurrentAssets (€), Non-current Assets (€), Amounts Payable And Liabilities (€)
    Description

    Uždaroji akcinė bendrovė "EMSI" financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

  3. Emsi 3504 cragmont USA Import & Buyer Data

    • seair.co.in
    + more versions
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    Seair Exim, Emsi 3504 cragmont USA Import & Buyer Data [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  4. d

    Data from: Electromagnetic source imaging in presurgical workup of patients...

    • search.dataone.org
    • data.niaid.nih.gov
    • +2more
    Updated Jun 20, 2025
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    Lene Duez; Hatice Tankisi; Peter O. Hansen; Per Sidenius; Anne Sabers; Lars H. Pinborg; Martin Fabricius; György Rásonyi; Guido Rubboli; Birthe Pedersen; Anne-Mette Leffers; Peter Uldall; Bo Jespersen; Jannick Brennum; Otto M. Henriksen; Anders Fuglsang-Frederiksen; Sándor Beniczky (2025). Electromagnetic source imaging in presurgical workup of patients with epilepsy: a prospective study [Dataset]. http://doi.org/10.5061/dryad.p4r01pq
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Lene Duez; Hatice Tankisi; Peter O. Hansen; Per Sidenius; Anne Sabers; Lars H. Pinborg; Martin Fabricius; György Rásonyi; Guido Rubboli; Birthe Pedersen; Anne-Mette Leffers; Peter Uldall; Bo Jespersen; Jannick Brennum; Otto M. Henriksen; Anders Fuglsang-Frederiksen; Sándor Beniczky
    Time period covered
    Jan 1, 2019
    Description

    Objective: To determine the diagnostic accuracy and clinical utility of electromagnetic source imaging (EMSI) in presurgical evaluation of patients with epilepsy. Methods: We prospectively recorded magnetoencephalography (MEG) simultaneously with electroencephalography (EEG) and performed EMSI, comprising electric (ESI), magnetic source imaging (MSI) and analysis of combined MEG-EEG datasets (cEMSI), using two different software packages. As reference standard for irritative zone (IZ) and seizure onset zone (SOZ) we used intracranial recordings and for localization accuracy, outcome one year after operation. Results: We included 141 consecutive patients. EMSI showed localized epileptiform discharges (ED) in 94 patients (67%). Most of the ED-clusters (72%) were identified by both modalities, 15% only by EEG and 14% only by MEG. Agreement was substantial between inverse solutions and moderate between software packages. EMSI provided new information that changed the management plan in 34...

  5. Eximpedia Export Import Trade

    • eximpedia.app
    Updated Mar 25, 2025
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    Seair Exim (2025). Eximpedia Export Import Trade [Dataset]. https://www.eximpedia.app/
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Mar 25, 2025
    Dataset provided by

    Eximpedia Export Import Trade Data
    Authors
    Seair Exim
    Area covered
    Montserrat, Benin, Norfolk Island, Virgin Islands (British), France, Estonia, Sweden, Albania, Yemen, Marshall Islands
    Description

    Llc Emsi Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  6. g

    London Job Posting Analytics | gimi9.com

    • gimi9.com
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    London Job Posting Analytics | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_london-job-posting-analytics/
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    London
    Description

    This workbook summarises recent Job Posting Analytics related to delivery drivers in London. The data is provided by Emsi, a data modelling company. It looks at job postings based on two different classifications: * Job title ('Delivery Driver') * Occupations ('Van drivers' and 'Postal workers, mail sorters, messengers and couriers') Please note: * Job postings are collected from various sources and processed to provide information such as occupation, skills, and geography * One posting can appear on multiple websites, multiple times - a unique job posting is a job posting that has been de-duplicated * A job title is the name of the job role as described in a job posting; this is different to a Standard Occupational Classification (SOC) code * Posting Intensity is the ratio of total to unique jobs postings - a higher ratio can indicate that employers are putting more effort towards hiring Source: Emsi, 2021. For more information see: https://kb.economicmodelling.co.uk/

  7. T

    Industry Workers in Key and Local Industries

    • data.datacenterresearch.org
    • data.wu.ac.at
    csv, xlsx, xml
    Updated Apr 3, 2018
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    EMSI (2018). Industry Workers in Key and Local Industries [Dataset]. https://data.datacenterresearch.org/w/w7ww-5dmw/default?cur=FPG1OQRYYn1&from=fsWTn9baWjQ
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Apr 3, 2018
    Dataset authored and provided by
    EMSI
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Percent employed by race/ethnicity for key and local industries in New Orleans, 2016

  8. w

    Industry Employment

    • data.wu.ac.at
    • data.datacenterresearch.org
    csv, json, xml
    Updated Jun 21, 2018
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    EMSI and U.S. Cluster Mapping Project (2018). Industry Employment [Dataset]. https://data.wu.ac.at/schema/data_nola_gov/NmFqMi04OTJu
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    json, csv, xmlAvailable download formats
    Dataset updated
    Jun 21, 2018
    Dataset provided by
    EMSI and U.S. Cluster Mapping Project
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Number of people employed by local and key industries in New Orleans, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016

  9. T

    Average Wages for Key and Local Industries

    • data.datacenterresearch.org
    • data.wu.ac.at
    application/rdfxml +5
    Updated Mar 30, 2018
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    EMSI and U.S. Cluster Mapping Project (2018). Average Wages for Key and Local Industries [Dataset]. https://data.datacenterresearch.org/w/itze-v7qf/default?cur=YDtV7sai1ME&from=4Ofe08EBCdI
    Explore at:
    application/rdfxml, json, tsv, application/rssxml, xml, csvAvailable download formats
    Dataset updated
    Mar 30, 2018
    Dataset authored and provided by
    EMSI and U.S. Cluster Mapping Project
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Average wage by key and local industries in New Orleans, 2016. Wages refer to average wages, salaries, and proprietor earnings. They do not include benefits, supplements, or similar non-salary additions.

  10. d

    Median Earnings of Creative Sector Occupations, CLL.B.1

    • catalog.data.gov
    • data.austintexas.gov
    • +3more
    Updated Oct 25, 2024
    + more versions
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    data.austintexas.gov (2024). Median Earnings of Creative Sector Occupations, CLL.B.1 [Dataset]. https://catalog.data.gov/dataset/median-earnings-of-creative-sector-occupations-cll-b-1
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    Dataset updated
    Oct 25, 2024
    Dataset provided by
    data.austintexas.gov
    Description

    Median earnings of creative sector occupations tells us how much Austin's artists, musicians, and related creative sector workers are earning per hour. It shows us whether our city's artists and creative sector workers can afford to live and work in Austin. This data reflects metric CLL.B1 within the City of Austin's Strategic Direction 2023. This metric is meant to inform City efforts in pursuing the Culture and Lifelong Learning Strategic Outcome. The complete metric title is "Median earnings of metro-area creative sector occupations (as defined by specific Bureau of Labor Statistics Standard Occupational Classifications System [SOC] codes)" Data was gathered directly from the Creative Vitality Suite (cvsuite.org), a subscription-based online research-based, economic development tool that provides creative economy data and reporting. Data extracted from CVSuite software's data analysis from the following sources: Economic Modeling Specialists International (EMSI), National Assembly of State Arts Agencies, National Center for Charitable Statistics.

  11. e

    London Álláshirdetés analitika

    • data.europa.eu
    unknown
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    Emsi, London Álláshirdetés analitika [Dataset]. https://data.europa.eu/data/datasets/london-job-posting-analytics-1?locale=hu
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    unknownAvailable download formats
    Dataset authored and provided by
    Emsi
    Area covered
    London
    Description

    Ez a munkafüzet összefoglalja a londoni kézbesítési illesztőprogramokkal kapcsolatos legutóbbi Job Posting Analytics-et. Az adatokat az Emsi adatmodellező cég szolgáltatja. Ez két különböző besorolás alapján vizsgálja az álláshirdetéseket:
    Munkakör megnevezése („Delivery Driver”) Foglalkozások („Van driver” és „postai munkavállalók, postai küldemények, futárok és futárok”) Kérjük, vegye figyelembe:

    Az álláshirdetéseket különböző forrásokból gyűjtik össze, és olyan információk biztosítására dolgozzák fel, mint a foglalkozás, a készségek és a földrajz Egy hozzászólás több weboldalon is megjelenhet, többször is – az egyedi álláshirdetés olyan álláshirdetés, amelyet de-kettőztek A munkakör megnevezése az álláshirdetésben leírt munkakör neve; ez eltér a Standard Occupational Classification (SOC) kódtól A kiküldetési intenzitás a teljes és az egyedi álláshelyek aránya – a magasabb arány azt jelezheti, hogy a munkáltatók több erőfeszítést tesznek a felvételre

    Forrás:EMSI, 2021.

    További információkért lásd: https://kb.economicmodelling.co.uk/ Ez a munkafüzet összefoglalja a londoni kézbesítési illesztőprogramokkal kapcsolatos legutóbbi Job Posting Analytics-et. Az adatokat az Emsi adatmodellező cég szolgáltatja. Ez két különböző besorolás alapján vizsgálja az álláshirdetéseket:

    Munkakör megnevezése („Delivery Driver”)

    Foglalkozások („Van driver” és „postai munkavállalók, postai küldemények, futárok és futárok”)

    Kérjük, vegye figyelembe:

    Az álláshirdetéseket különböző forrásokból gyűjtik össze, és olyan információk biztosítására dolgozzák fel, mint a foglalkozás, a készségek és a földrajz

    Egy hozzászólás több weboldalon is megjelenhet, többször is – az egyedi álláshirdetés olyan álláshirdetés, amelyet de-kettőztek

    A munkakör megnevezése az álláshirdetésben leírt munkakör neve; ez eltér a Standard Occupational Classification (SOC) kódtól

    A kiküldetési intenzitás a teljes és az egyedi álláshelyek aránya – a magasabb arány azt jelezheti, hogy a munkáltatók több erőfeszítést tesznek a felvételre

    Forrás: EMSI, 2021.

    További információkért lásd:

    https://kb.economicmodelling.co.uk/

  12. e

    EMSi infosüsteem CP Interreg V-A SI-HU

    • data.europa.eu
    html
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    MINISTRSTVO ZA KOHEZIJO IN REGIONALNI RAZVOJ, EMSi infosüsteem CP Interreg V-A SI-HU [Dataset]. https://data.europa.eu/data/datasets/informacijski-sistem-ems-cp-interreg-v-a-si-hu?locale=et
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    htmlAvailable download formats
    Dataset authored and provided by
    MINISTRSTVO ZA KOHEZIJO IN REGIONALNI RAZVOJ
    Description

    Teabesüsteem eMS CP Interreg V-A SI-HU on loodud Euroopa piiriülese koostöö programmist Interreg V-A Sloveenia-Ungari toetatavate projektide järelevalveks. Süsteem jälgib kasutajate esitatud kontseptuaalseid projektiettepanekuid kaasrahastamiseks, projektide hindamiseks ja rakendamiseks. IT-süsteem on loodud kooskõlas Euroopa määrusega (EÜ) nr 1303/2013 ja toetab Euroopa Regionaalarengu Fondi (ESF) väljamakseprotsesse. Süsteem on toodetud veebiversioonis, millel on veebiliides, kommunikatsiooniportaal ja aruandlusmoodulid.
    Süsteem on avatud potentsiaalsetele taotlejatele ja on kättesaadav aadressil https://ems.si-hu.eu/ems

  13. p

    A silicon capacitive pressure sensor micromachined by EMSi method /

    • dona.pwr.edu.pl
    Updated 2001
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    Jan Dziuban; Rafał Walczak (2001). A silicon capacitive pressure sensor micromachined by EMSi method / [Dataset]. https://dona.pwr.edu.pl/szukaj/default.aspx?sys=128496&lang=eng
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    Dataset updated
    2001
    Authors
    Jan Dziuban; Rafał Walczak
    Description

    Library of Wroclaw University of Science and Technology scientific output (DONA database)

  14. e

    London Job Posting Analytics

    • data.europa.eu
    unknown
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    Emsi, London Job Posting Analytics [Dataset]. https://data.europa.eu/data/datasets/london-job-posting-analytics-1?locale=sl
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    unknownAvailable download formats
    Dataset authored and provided by
    Emsi
    Area covered
    London
    Description

    Ta delovni zvezek povzema nedavno analizo delovnih mest, povezano z dostavnimi vozniki v Londonu. Podatke zagotavlja Emsi, podjetje za modeliranje podatkov. &Nbsp;Glede na objave delovnih mest, ki temeljijo na dveh različnih klasifikacijah:

    Naziv delovnega mesta („voznik dostave“) Poklici („vozniki Van“ in „Poštni delavci, odstranjevalci pošte, kurirji in kurirji“)

    & nbsp; Prosimo, upoštevajte:
    Objave delovnih mest se zbirajo iz različnih virov in se obdelujejo za zagotavljanje informacij, kot so poklic, spretnosti in geografija. Ena objava se lahko pojavi na več spletnih mestih, večkrat – edinstveno delovno mesto je objava delovnega mesta, ki je bila odstranjena Naziv delovnega mesta je ime delovnega mesta, kot je opisano v delovnem mestu;to se razlikuje od standardne kode poklicne klasifikacije (SOC) Intenzivnost napotitev je razmerje med celotnim in edinstvenim delovnim mestom – višje razmerje lahko kaže na to, da si delodajalci bolj prizadevajo za zaposlovanje.

    Vir:EMSI, 2021.

    Za več informacij glej: https://kb.economicmodelling.co.uk/

  15. e

    Londoni Tööpostitus Analüüs

    • data.europa.eu
    unknown
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    Emsi, Londoni Tööpostitus Analüüs [Dataset]. https://data.europa.eu/data/datasets/london-job-posting-analytics-1?locale=et
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    unknownAvailable download formats
    Dataset authored and provided by
    Emsi
    Area covered
    London
    Description

    See töövihik võtab kokku hiljutise tööpostitamise analüüsi, mis on seotud Londoni tarnejuhtidega. Andmed esitab andmete modelleerimise ettevõte Emsi. See vaatleb tööpakkumisi, mis põhinevad kahel erineval liigitusel:
    Ametinimetus („Delivery Driver“) Ametid („Van-juhid“ ja „Postitöötajad, posti sorteerijad, sõnumitoojad ja kullerid“) Palun pange tähele:

    Töökuulutusi kogutakse erinevatest allikatest ja töödeldakse, et anda teavet, nagu amet, oskused ja geograafia Üks postitus võib ilmuda mitmel veebisaidil, mitu korda – ainulaadne töökoha postitamine on töö postitamine, mis on de-duplicated Ametinimetus on tööülesande nimi, nagu on kirjeldatud töökoha lähetamisel; see erineb standardsest kutseklassifikatsiooni (SOC) koodist. Lähetamine Intensiivsus on suhe kokku unikaalsete töökohtade lähetamisega – suurem suhtarv võib viidata sellele, et tööandjad teevad rohkem jõupingutusi töölevõtmiseks

    Allikas:EMSI, 2021.

    Lisateabe saamiseks vt: https://kb.economicmodelling.co.uk/ See töövihik võtab kokku hiljutise tööpostitamise analüüsi, mis on seotud Londoni tarnejuhtidega. Andmed esitab andmete modelleerimise ettevõte Emsi. See vaatleb tööpakkumisi, mis põhinevad kahel erineval liigitusel:

    Ametinimetus („Delivery Driver“)

    Ametid („Van-juhid“ ja „Postitöötajad, posti sorteerijad, sõnumitoojad ja kullerid“)

    Palun pange tähele:

    Töökuulutusi kogutakse erinevatest allikatest ja töödeldakse, et anda teavet, nagu amet, oskused ja geograafia

    Üks postitus võib ilmuda mitmel veebisaidil, mitu korda – ainulaadne töökoha postitamine on töö postitamine, mis on de-duplicated

    Ametinimetus on tööülesande nimi, nagu on kirjeldatud töökoha lähetamisel; see erineb standardsest kutseklassifikatsiooni (SOC) koodist.

    Lähetamine Intensiivsus on suhe kokku unikaalsete töökohtade lähetamisega – suurem suhtarv võib viidata sellele, et tööandjad teevad rohkem jõupingutusi töölevõtmiseks

    Allikas: EMSI, 2021.

    Lisateabe saamiseks vt:

    https://kb.economicmodelling.co.uk/

  16. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Office of Assistant Secretary for Policy (2022). Emsi dataset [Dataset]. https://catalog.data.gov/dataset/emsi-dataset

Emsi dataset

Explore at:
Dataset updated
Oct 8, 2022
Dataset provided by
Office of Assistant Secretary for Policy
Description

Data used for the Meta-Analysis of 46 Career Pathways Impact and data from four large nationally representative longitudinal surveys, as well as licensed data on occupational transitions from online career profiles, to examine workers’ career paths and wages for the Career Trajectories and Occupational Transitions Study.

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