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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.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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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https://brightdata.com/licensehttps://brightdata.com/license
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.