5 datasets found
  1. T

    Tesla | TSLA - Employees Total Number

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 15, 2023
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    TRADING ECONOMICS (2023). Tesla | TSLA - Employees Total Number [Dataset]. https://tradingeconomics.com/tsla:us:employees
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Dec 15, 2023
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Aug 2, 2025
    Area covered
    United States
    Description

    Tesla reported 140.47K in Employees for its fiscal year ending in December of 2023. Data for Tesla | TSLA - Employees Total Number including historical, tables and charts were last updated by Trading Economics this last August in 2025.

  2. T

    Tesla Fire

    • tesla-fire.com
    • search.dataone.org
    • +3more
    csv
    Updated Feb 19, 2024
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    I Capulet (2024). Tesla Fire [Dataset]. http://doi.org/10.5281/zenodo.5520568
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    csvAvailable download formats
    Dataset updated
    Feb 19, 2024
    Dataset provided by
    TSLAQ
    Authors
    I Capulet
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Time period covered
    Apr 2, 2013 - Present
    Variables measured
    fires
    Description

    A digital record of all Tesla fires - including cars and other products, e.g. Tesla MegaPacks - that are corroborated by news articles or confirmed primary sources. Latest version hosted at https://www.tesla-fire.com.

  3. World's biggest companies dataset

    • kaggle.com
    Updated Feb 2, 2023
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    Maryna Shut (2023). World's biggest companies dataset [Dataset]. https://www.kaggle.com/marshuu/worlds-biggest-companies-dataset/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 2, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Maryna Shut
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    World
    Description

    The dataset contains information about world's biggest companies.

    Among them you can find companies founded in the US, the UK, Europe, Asia, South America, South Africa, Australia.

    The dataset contains information about the year the company was founded, its' revenue and net income in years 2018 - 2020, and the industry.

    I have included 2 csv files: the raw csv file if you want to practice cleaning the data, and the clean csv ready to be analyzed.

    The third dataset includes the name of all the companies included in the previous datasets and 2 additional columns: number of employees and name of the founder.

    In addition there's tesla.csv file containing shares prices for Tesla.

  4. Ford Motor Company employees 2018-2024

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Ford Motor Company employees 2018-2024 [Dataset]. https://www.statista.com/statistics/297324/number-of-ford-employees/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States, Worldwide
    Description

    In 2024, around ******* people were employed by the Ford Motor Company and entities. Net income grew from a profit of around *** billion in 2023 to a profit of around *** billion in 2024. The fiscal year end of the company is December, 31st. Restructuring to save costs Ford says it needs to restructure if it wants to become more profitable, and restructuring will probably mean job cuts, visible in 2020 to 2022. In 2018, the automaker’s profits in North America took a hit due to higher warranty costs, but it is the divisions in China and Europe that were at the core of Ford’s lower than expected performance. Ford’s European sales dipped below the ******* unit mark in 2018, and auto shoppers in China were not attracted to Ford’s model lineup, but preferred Volkswagen’s Lavida and SAIC-GM-Wuling’s Hongguang. Restructuring continued through 2023 as the company focuses more of its operations on electrification and tech. Battery powered and driverless vehicles are gaining a deeper market penetration in the worlds largest auto markets. New models to save the day In 2024, Ford announced the release of its Model Year 2025 Bronco Sport, Maverick, and Mustang GTD. The brand is also taking steps to assert itself in the growing electric vehicle market. With investments of some ***** billion U.S. dollars in engineering, research, and development, the automaker is committed to its electric transition, and has started the delivery of its e-Transit electric vans to customers. However, Ford will have to contend with plug-in electric vehicle market leaders BYD and Tesla, as well as with the rapid growth of Chinese brands such as SAIC.

  5. Data from: Taste Quality Representation in the Human Brain

    • openneuro.org
    Updated Jul 8, 2020
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    Jason A Avery; Alexander G Liu; Cameron Riddell; John E Ingeholm; Stephen J Gotts; Alex Martin (2020). Taste Quality Representation in the Human Brain [Dataset]. http://doi.org/10.18112/openneuro.ds002995.v1.0.1
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    Dataset updated
    Jul 8, 2020
    Dataset provided by
    OpenNeurohttps://openneuro.org/
    Authors
    Jason A Avery; Alexander G Liu; Cameron Riddell; John E Ingeholm; Stephen J Gotts; Alex Martin
    License

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

    Description

    Dataset description

    Taste Quality Representation in the Human Brain The Journal of Neuroscience, January 29, 2020 40(5):1042–1052 https://doi.org/10.1523/JNEUROSCI.1751-19.2019

    In the mammalian brain, the insula is the primary cortical substrate involved in the perception of taste. Recent imaging studies in rodents have identified a ‘gustotopic’ organization in the insula, whereby distinct insula regions are selectively responsive to one of the five basic tastes. However, numerous studies in monkeys have reported that gustatory cortical neurons are broadly-tuned to multiple tastes, and tastes are not represented in discrete spatial locations. Neuroimaging studies in humans have thus far been unable to discern between these two models, though this may be due to the relatively low spatial resolution employed in taste studies to date. In the present study, we examined the spatial representation of taste within the human brain of 18 healthy subjects using ultra-high resolution functional magnetic resonance imaging (MRI) at high magnetic field strength (7-Tesla). During scanning, male and female participants tasted sweet, salty, sour and tasteless liquids, delivered via a custom-built MRI-compatible tastant-delivery system. During the fMRI task, received 0.5mL of sweet, sour, salty, and neutral tastant, in a block design (4 identical taste events / 20s block), followed by a (5s) wash period. Functional MRI data was acquired at ultra-high voxel resolution (1.2mm x 1.2mm x 1.2mm) at high magnetic field strength (7-Tesla). Echo-planar images (EPI) were acquired in 68 axial slices, in a scan window that ranged from the top of the cingulate gyrus (superiorly) to the tip of the temporal pole (inferiorly).

    MRI Files included are: A) Skull-stripped T1w anatomical scans from MP2RAGE acquisition (uni_den volume) resolution 0.7mm X 0.7mm X 0.7mm. B) 8 task epi files - 130vol, acquired Anterior-to-Posterior C) 1 epi file (fmap) - 20vol, acquired Posterior-to-Anterior, for topup spatial distortion correction

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

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TRADING ECONOMICS (2023). Tesla | TSLA - Employees Total Number [Dataset]. https://tradingeconomics.com/tsla:us:employees

Tesla | TSLA - Employees Total Number

Explore at:
csv, xml, excel, jsonAvailable download formats
Dataset updated
Dec 15, 2023
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 1, 2000 - Aug 2, 2025
Area covered
United States
Description

Tesla reported 140.47K in Employees for its fiscal year ending in December of 2023. Data for Tesla | TSLA - Employees Total Number including historical, tables and charts were last updated by Trading Economics this last August in 2025.

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