This data package includes the underlying data files to replicate the data and charts presented in Mistaken identities make for bad trade policy by Maurice Obstfeld, PIIE Policy Brief 24-13.
If you use the data, please cite as: Obstfeld, Maurice. 2024. Mistaken identities make for bad trade policy. PIIE Policy Brief 24-13. Washington, DC: Peterson Institute for International Economics.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Data Make False is a dataset for object detection tasks - it contains Forklift Person annotations for 765 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Historical Dataset of Make The Grade is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2007-2012),Total Classroom Teachers Trends Over Years (2007-2012),Student-Teacher Ratio Comparison Over Years (2007-2012),Hispanic Student Percentage Comparison Over Years (2007-2012),Black Student Percentage Comparison Over Years (2007-2012),Diversity Score Comparison Over Years (2007-2012),Free Lunch Eligibility Comparison Over Years (2007-2012),Reduced-Price Lunch Eligibility Comparison Over Years (2008-2011)
We asked Chinese consumers about "Car ownership by make / brand" and found that ***** takes the top spot, while *************** is at the other end of the ranking.These results are based on a representative online survey conducted in 2025 among 4,857 consumers in China. Looking to gain valuable insights about car owners across the globe? Check out our reports about consumers of car brands worldwide. These reports provide readers with a detailed understanding of car owners: their identities, preferences, opinions, and how to effectively engage with them.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about book subjects. It has 2 rows and is filtered where the books is How To Make Your Own Will. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.
mammoth666/cars-make-model-year-chunk-119 dataset hosted on Hugging Face and contributed by the HF Datasets community
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This study examined whether children are able to make meaning from negative experiences through their use of generic-you, a linguistic device in which people shift from the here-and-now to refer to people in general. (e.g. "You win some, you lose some"). Participants (N=89, ages 4-10) listened to two stories depicting common conflicts and were asked to discuss what lessons the character could learn (Lessons Learned condition) and how the character felt (Relive condition). Of interest was children's usage of generic-you.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Only Make is a dataset for object detection tasks - it contains GAADI annotations for 5,510 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about books. It has 1 row and is filtered where the book is Make it better : designing out medical error. It features 7 columns including author, publication date, language, and book publisher.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about news. It has 2 rows and is filtered where the keywords includes Make-up. It features 10 columns including source, publication date, section, and news link.
This statistic shows the results of a 2014 Popsugar survey among American women asking them what tends to make you happy in your romantic relationships. During the survey, **** percent of female respondents said trust.
According to a survey conducted in 2024, half of French respondents believed refugees did not make a positive contribution to France. On the other hand, ** percent of respondents thought the opposite.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual reduced-price lunch eligibility from 2008 to 2011 for Make The Grade vs. Connecticut and Bridgeport School District
Comprehensive dataset of 51 Make-up artists in New Mexico, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
We asked UK consumers about "Car ownership by make / brand" and found that ***** takes the top spot, while ******* is at the other end of the ranking.These results are based on a representative online survey conducted in 2025 among 4,615 consumers in the UK. Looking to gain valuable insights about car owners across the globe? Check out our reports about consumers of car brands worldwide. These reports provide readers with a detailed understanding of car owners: their identities, preferences, opinions, and how to effectively engage with them.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Asian lip make-up preparations market contracted to $3.7B in 2024, reducing by -7.7% against the previous year. The total consumption indicated pronounced growth from 2012 to 2024: its value increased at an average annual rate of +2.2% over the last twelve-year period. The trend pattern, however, indicated some noticeable fluctuations being recorded throughout the analyzed period. The level of consumption peaked at $4.9B in 2019; however, from 2020 to 2024, consumption failed to regain momentum.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
In 2024, the Europe lip make-up preparations market increased by 2.2% to $4.8B, rising for the third consecutive year after two years of decline. The market value increased at an average annual rate of +2.1% over the period from 2012 to 2024; however, the trend pattern indicated some noticeable fluctuations being recorded throughout the analyzed period. As a result, consumption attained the peak level of $5.1B. From 2018 to 2024, the growth of the market remained at a lower figure.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Sweden Imports from El Salvador of Beauty or Make-up Preparations, Preparations for the Care of Skin was US$296 during 2022, according to the United Nations COMTRADE database on international trade. Sweden Imports from El Salvador of Beauty or Make-up Preparations, Preparations for the Care of Skin - data, historical chart and statistics - was last updated on September of 2025.
This statistic shows the types of foundation / concealer make-up used most often in the United States in 2020. The data has been calculated by Statista based on the United Nations data and Simmons National Consumer Survey (NHCS). According to this statistic, ***** million women in the U.S. used liquid foundation / concealer make-up in 2020.
According to a survey conducted among South Korean women on where there purchased base make-up offline in 2020, around **** percent of respondents stated that they purchase base make-up products in H&B stores. Most women also bought their skin care products and color make up products primarily in these stores.
This data package includes the underlying data files to replicate the data and charts presented in Mistaken identities make for bad trade policy by Maurice Obstfeld, PIIE Policy Brief 24-13.
If you use the data, please cite as: Obstfeld, Maurice. 2024. Mistaken identities make for bad trade policy. PIIE Policy Brief 24-13. Washington, DC: Peterson Institute for International Economics.