3 datasets found
  1. Tumblr Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated May 8, 2024
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    Bright Data (2024). Tumblr Dataset [Dataset]. https://brightdata.com/products/datasets/tumblr
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    May 8, 2024
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    We'll tailor a Tumblr dataset to meet your unique needs, encompassing post types, user engagement metrics, hashtag usage, demographic data of users, reblog counts, like statistics, and other pertinent metrics.

    Leverage our Tumblr datasets for diverse applications to bolster strategic planning and market analysis. Scrutinizing these datasets enables organizations to grasp user preferences and blogging trends, facilitating nuanced content creation and marketing initiatives. Customize your access to the entire dataset or specific subsets as per your business requisites.

    Popular use cases involve optimizing content strategy based on engagement insights, enhancing marketing strategies through targeted audience segmentation, and identifying and forecasting trends to stay ahead in the social media and blogging landscape.

  2. Vector-LabPics dataset for images of materials in vessels in the chemistry...

    • zenodo.org
    • explore.openaire.eu
    zip
    Updated Sep 7, 2024
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    Sagi Eppel; Sagi Eppel; Haoping Xu; Haoping Xu; Mor Bismuth; Alan Aspuru-Guzik; Alan Aspuru-Guzik; Mor Bismuth (2024). Vector-LabPics dataset for images of materials in vessels in the chemistry lab [Dataset]. http://doi.org/10.5281/zenodo.3697452
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 7, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Sagi Eppel; Sagi Eppel; Haoping Xu; Haoping Xu; Mor Bismuth; Alan Aspuru-Guzik; Alan Aspuru-Guzik; Mor Bismuth
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    LabPics 2: A newer and larger a version (But harder to use) can be found here: https://zenodo.org/record/4736111

    The Vector-LabPics V1 dataset contains 2187 images of chemical experiments with materials within mostly transparent vessels in various laboratory settings and in everyday conditions such as beverage handling. Each image in the dataset has an annotation of the region of each material phase and its type. In addition, the region of each vessel and its labels, parts, and corks are also marked.

    For more details see:

    https://pubs.acs.org/doi/10.1021/acscentsci.0c00460

    Acknowledgments

    We like to thank the sources of the images used for creating this dataset without them this work was not possible. These sources include Nessa Carson (@SuperScienceGrl Twitter), Chemical and Engineering Science chemistry in pictures, YouTube channels dedicated to chemistry experiments: NurdRage, NileRed, DougsLab, ChemPlayer, and Koen2All. Additional sources for images include Instagram channels chemistrylover_(Joana Kulizic),Chemistry.shz (Dr.Shakerizadeh-shirazi), MinistryOfChemistry, Chemistry And Me, ChemistryLifeStyle, vacuum_distillation, and Organic_Chemistry_Lab. We are grateful to the Defense Advanced Research Projects Agency (DARPA) for funding this project under award number W911NF-18-2-0036 from the Molecular Informatics program. A.A.-G. Thanks Anders G. Frøseth for his generous support.

    Images of the dataset were taken from images and videos shared on Youtube and Instagram, Twitter and Tumblr channels and other contributors; we do not have copyright for the images. Any commercial or none academic use of the images depends on acquiring permission from the owner of the images. Note that the name of each image contains the image source. For any non-academic use of the images, please contact their sources for permission. We like to thank the following channels for sharing the images used in this dataset.

    We like to thank the sources of the images used for creating this dataset without them this work was not possible. These sources include Nessa Carson (@SuperScienceGrl Twitter), Chemical and Engineering Science chemistry in pictures, YouTube channels dedicated to chemistry experiments: NurdRage, NileRed, DougsLab, ChemPlayer, and Koen2All. Additional sources for images include Instagram channels chemistrylover_(Joana Kulizic),Chemistry.shz (Dr.Shakerizadeh-shirazi), MinistryOfChemistry, Chemistry And Me, ChemistryLifeStyle, vacuum_distillation, and Organic_Chemistry_Lab. We are grateful to the Defense Advanced Research Projects Agency (DARPA) for funding this project under award number W911NF-18-2-0036 from the Molecular Informatics program. A.A.-G. Thanks Anders G. Frøseth for his generous support. Images from C&EN's Chemistry in Pictures (cen.chempics.org) used here with permission from C&EN and ACS. All rights reserved. Please contact cenchempics@acs.org to inquire about republishing.

  3. f

    Frequency of total posts and total reach, by gender, for the top 40 brands...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Oct 31, 2024
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    Monique Potvin Kent; Meghan Pritchard; Christine Mulligan; Lauren Remedios (2024). Frequency of total posts and total reach, by gender, for the top 40 brands marketed to children*, by food category on Twitter, Reddit, Tumblr, and YouTube in 2020. [Dataset]. http://doi.org/10.1371/journal.pdig.0000630.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Oct 31, 2024
    Dataset provided by
    PLOS Digital Health
    Authors
    Monique Potvin Kent; Meghan Pritchard; Christine Mulligan; Lauren Remedios
    License

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

    Area covered
    YouTube
    Description

    Frequency of total posts and total reach, by gender, for the top 40 brands marketed to children*, by food category on Twitter, Reddit, Tumblr, and YouTube in 2020.

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Bright Data (2024). Tumblr Dataset [Dataset]. https://brightdata.com/products/datasets/tumblr
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Tumblr Dataset

Explore at:
.json, .csv, .xlsxAvailable download formats
Dataset updated
May 8, 2024
Dataset authored and provided by
Bright Datahttps://brightdata.com/
License

https://brightdata.com/licensehttps://brightdata.com/license

Area covered
Worldwide
Description

We'll tailor a Tumblr dataset to meet your unique needs, encompassing post types, user engagement metrics, hashtag usage, demographic data of users, reblog counts, like statistics, and other pertinent metrics.

Leverage our Tumblr datasets for diverse applications to bolster strategic planning and market analysis. Scrutinizing these datasets enables organizations to grasp user preferences and blogging trends, facilitating nuanced content creation and marketing initiatives. Customize your access to the entire dataset or specific subsets as per your business requisites.

Popular use cases involve optimizing content strategy based on engagement insights, enhancing marketing strategies through targeted audience segmentation, and identifying and forecasting trends to stay ahead in the social media and blogging landscape.

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