3 datasets found
  1. H

    BOSQUE Test set

    • dataverse.harvard.edu
    Updated Jul 10, 2025
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    Alejandra Jaramillo Arboleda; Maria Juliana Sanchez Zapata; LILI JOHANA RUEDA JAIME; Andrés Morales-Forero; Samuel Bassetto (2025). BOSQUE Test set [Dataset]. http://doi.org/10.7910/DVN/AQEPIN
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 10, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Alejandra Jaramillo Arboleda; Maria Juliana Sanchez Zapata; LILI JOHANA RUEDA JAIME; Andrés Morales-Forero; Samuel Bassetto
    License

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

    Description

    BOSQUE Test Set: A Dermoscopic Image Dataset from Colombian Patients with Diverse Skin Phototypes Description: The BOSQUE Test Set is a curated dataset of 151 dermoscopic images of pigmented skin lesions, collected from dermatology consultations and outreach campaigns in Bogotá, Colombia. Each image is accompanied by expert-verified metadata including histological diagnosis, patient demographic details, anatomical site, and skin phototype. The dataset is intended to support machine learning research in dermatology with a particular focus on skin tone diversity and fairness in diagnostic algorithms. The dataset was developed under the guidance of Universidad El Bosque, whose name inspired the acronym BOSQUE. It responds to the global underrepresentation of darker skin phototypes in existing dermoscopic image collections such as HAM10000, and aims to improve diagnostic equity through inclusive data curation. Key Features 151 dermoscopic images acquired in real-world clinical settings Captured using polarized light dermatoscopes (DermLite 4 + iPhone) Inclusive population: Sex: 97 Female, 54 Male Age groups: from 0–29 to 90+, categorized into clinically relevant bins Fitzpatrick skin phototypes: ranging from II to VI Type II (fair, burns easily): 11 patients Type III (light brown, mild burns): 94 patients Type IV (moderate brown, rarely burns): 34 patients Type V (dark brown, very rarely burns): 7 patients Type VI (deeply pigmented, never burns): 5 patients Lesion characteristics: Nature: benign or malignant (histopathologically confirmed) Size: categorized as ≤5mm, 6–10mm, 11–20mm, >20mm Evolution time: grouped into <1y, 1y, 2y, 3–4y, 5–9y, and 10y+ categories Anatomical site: head/neck, trunk, limbs, or acral areas Histopathological diagnosis: 7-class ISIC-style labels (akiec, bcc, bkl, df, mel, nv, vasc) Clinical label: melanocytic vs. non-melanocytic (from clinical diagnosis) Clinical context: includes personal history of NMSC and use of photosensitizing drugs Image naming: pseudonymized file names encode diagnosis label and image ID Ethics: all data anonymized and collected under IRB-approved protocol in Colombia Included Files BOSQUE_test_set.zip: Folder containing 151 dermoscopic image files (JPG) BOSQUE_metadata.csv: Metadata for each image, including: Patient sex, age group, skin phototype Anatomical site of the lesion Lesion nature (benign/malignant) Lesion size and evolution time (binned) Histological diagnosis (7-class) Clinical label (melanocytic / non-melanocytic) Use Cases This dataset is intended for: Benchmarking AI models for dermoscopic image classification Fairness analysis across skin tones, sex, and age groups Medical education and clinical training on diverse skin phototypes Comparison against HAM10000 or ISIC datasets in research Ethical Statement All patients provided informed consent for the capture and use of clinical and dermoscopic images, the collection of relevant clinical metadata, and the performance of skin biopsies for diagnostic confirmation. The study protocol was reviewed and approved by the Institutional Ethics Committee at Subred Integrada de Servicios de Salud Norte E.S.E and Universidad El Bosque (Bogotá, Colombia). All data were anonymized in compliance with Colombian health data privacy regulations and international ethical standards (e.g., Declaration of Helsinki). No personally identifiable information is included in the metadata or image files. Access to data was restricted to authorized investigators, and patients were informed about the research and educational use of their anonymized data. Suggested Citation [Author(s)]. (2025). BOSQUE Test Set: A Dermoscopic Image Dataset from Colombian Patients with Diverse Skin Phototypes [Data set]. Harvard Dataverse. https://doi.org/xxxxx

  2. D

    Anti Aging Skin Care Products Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Anti Aging Skin Care Products Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/anti-aging-skin-care-products-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Anti Aging Skin Care Products Market Outlook



    The global market size for anti-aging skin care products was valued at approximately USD 50 billion in 2023 and is projected to reach around USD 83 billion by 2032, growing at a compound annual growth rate (CAGR) of 5.4%. The growth of the anti-aging skin care products market is primarily driven by increasing consumer awareness regarding skin health, advancements in dermatological science, and a rising elderly population willing to invest in their appearance.



    One of the primary growth factors for the anti-aging skin care products market is the growing awareness among consumers about the importance of skin health and maintenance. As the global population becomes more educated about the damaging effects of environmental factors such as UV radiation and pollution, there is a corresponding increase in the demand for products that promise to mitigate these effects. Additionally, the proliferation of social media and beauty influencers has significantly heightened consumer interest in skin care, leading to higher adoption rates of anti-aging products.



    The advancement in dermatological science and formulation technologies is another significant driver of this market. Innovations in active ingredients and delivery mechanisms have resulted in more effective and longer-lasting products. For instance, the development of encapsulated retinoids and advanced peptide complexes has enabled the creation of products that deliver potent anti-aging benefits with reduced side effects. These scientific advancements are continually fueling market growth as consumers are willing to pay a premium for products that offer proven results.



    The increasing popularity of Anti-aging Serum is a testament to the evolving preferences of consumers seeking targeted solutions for their skin concerns. These serums, known for their lightweight and potent formulations, are designed to penetrate deeper into the skin, delivering active ingredients more effectively. The demand for such products is driven by consumers' desire for quick and visible results, particularly in addressing fine lines, wrinkles, and uneven skin tone. As a result, the market for anti-aging serums is experiencing significant growth, with many brands focusing on innovative formulations that incorporate cutting-edge ingredients. This trend is further supported by the rise of personalized skin care, where consumers are increasingly opting for serums tailored to their individual skin needs.



    The rising elderly population is also a crucial factor driving the growth of the anti-aging skin care products market. As the global life expectancy increases, a larger segment of the population is becoming more concerned about maintaining their appearance as they age. This demographic is typically more financially stable and willing to invest in high-quality skin care products, further bolstering market demand. Furthermore, the cultural shift towards valuing youthfulness and beauty across various age groups has amplified the demand for anti-aging products.



    Regionally, North America and Europe have been leading markets for anti-aging skin care products, driven by high consumer spending power and a strong presence of major skin care brands. However, the Asia Pacific region is witnessing the fastest growth, attributed to rising disposable incomes, increasing beauty consciousness, and the expanding retail sector. Countries like China, Japan, and South Korea are becoming significant markets due to their burgeoning middle-class populations and heightened interest in beauty and personal care products.



    The landscape of Anti-ageing Products, Services and Devices is rapidly expanding as consumers seek comprehensive solutions to combat the signs of aging. Beyond traditional creams and serums, the market now includes a diverse range of offerings such as non-invasive treatments, advanced skincare devices, and personalized services. These innovations are driven by advancements in technology and a deeper understanding of skin biology, allowing for more effective and customized anti-aging strategies. As consumers become more informed about their options, there is a growing interest in integrating these products and services into holistic skincare routines. This shift is not only enhancing the efficacy of anti-aging regimens but also providing consumers with a more personalized and engaging experience.&l

  3. Players in the NFL in 2023, by ethnicity

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Players in the NFL in 2023, by ethnicity [Dataset]. https://www.statista.com/statistics/1167935/racial-diversity-nfl-players/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the greatest share of players by ethnic group in the National Football League (NFL) were black or African American athletes, constituting just over ** percent of players within the NFL. Despite the large population of Hispanic or Latino people within the United States, there is a substantial underrepresentation within the NFL, with only *** percent of players identifying as such. National Football League The National Football League (NFL) is a professional American football league that was established in 1920 and now consists of 32 clubs divided into two conferences, the National Football Conference (NFC) and the American Football Conference (AFC). The league culminates in the Super Bowl, the NFL's annual championship game. As the league’s championship game, the Super Bowl has grown into one of the world's largest single-day sporting events, attracting high television ratings and generating billions of dollars in consumer spending. NFL revenues The NFL is one of the most profitable sports leagues in the world, generating a staggering **** billion U.S. dollars in 2022. This total revenue of all ** NFL teams has constantly increased over the past 15 years and, although this figure dropped significantly in 2020, this was largely as a result of the impact of coronavirus (COVID-19) containment measures. This significant drop in revenue demonstrates one of the primary impacts of COVID-19 on professional sports leagues. NFL franchises As a result of this profitability in non-pandemic times, the franchises of the NFL are attributed extremely high market values. The Dallas Cowboys were by far the most valuable franchise in the NFL, with a market value of **** billion US dollars in 2023. The high value of NFL franchises can be seen clearly when compared to those of the NBA, MLB, and NHL. Franchises within the NFL had an average market value of approximately *** billion U.S. dollars in 2023.

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    Learn how you can add new datasets to our index.

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Alejandra Jaramillo Arboleda; Maria Juliana Sanchez Zapata; LILI JOHANA RUEDA JAIME; Andrés Morales-Forero; Samuel Bassetto (2025). BOSQUE Test set [Dataset]. http://doi.org/10.7910/DVN/AQEPIN

BOSQUE Test set

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jul 10, 2025
Dataset provided by
Harvard Dataverse
Authors
Alejandra Jaramillo Arboleda; Maria Juliana Sanchez Zapata; LILI JOHANA RUEDA JAIME; Andrés Morales-Forero; Samuel Bassetto
License

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

Description

BOSQUE Test Set: A Dermoscopic Image Dataset from Colombian Patients with Diverse Skin Phototypes Description: The BOSQUE Test Set is a curated dataset of 151 dermoscopic images of pigmented skin lesions, collected from dermatology consultations and outreach campaigns in Bogotá, Colombia. Each image is accompanied by expert-verified metadata including histological diagnosis, patient demographic details, anatomical site, and skin phototype. The dataset is intended to support machine learning research in dermatology with a particular focus on skin tone diversity and fairness in diagnostic algorithms. The dataset was developed under the guidance of Universidad El Bosque, whose name inspired the acronym BOSQUE. It responds to the global underrepresentation of darker skin phototypes in existing dermoscopic image collections such as HAM10000, and aims to improve diagnostic equity through inclusive data curation. Key Features 151 dermoscopic images acquired in real-world clinical settings Captured using polarized light dermatoscopes (DermLite 4 + iPhone) Inclusive population: Sex: 97 Female, 54 Male Age groups: from 0–29 to 90+, categorized into clinically relevant bins Fitzpatrick skin phototypes: ranging from II to VI Type II (fair, burns easily): 11 patients Type III (light brown, mild burns): 94 patients Type IV (moderate brown, rarely burns): 34 patients Type V (dark brown, very rarely burns): 7 patients Type VI (deeply pigmented, never burns): 5 patients Lesion characteristics: Nature: benign or malignant (histopathologically confirmed) Size: categorized as ≤5mm, 6–10mm, 11–20mm, >20mm Evolution time: grouped into <1y, 1y, 2y, 3–4y, 5–9y, and 10y+ categories Anatomical site: head/neck, trunk, limbs, or acral areas Histopathological diagnosis: 7-class ISIC-style labels (akiec, bcc, bkl, df, mel, nv, vasc) Clinical label: melanocytic vs. non-melanocytic (from clinical diagnosis) Clinical context: includes personal history of NMSC and use of photosensitizing drugs Image naming: pseudonymized file names encode diagnosis label and image ID Ethics: all data anonymized and collected under IRB-approved protocol in Colombia Included Files BOSQUE_test_set.zip: Folder containing 151 dermoscopic image files (JPG) BOSQUE_metadata.csv: Metadata for each image, including: Patient sex, age group, skin phototype Anatomical site of the lesion Lesion nature (benign/malignant) Lesion size and evolution time (binned) Histological diagnosis (7-class) Clinical label (melanocytic / non-melanocytic) Use Cases This dataset is intended for: Benchmarking AI models for dermoscopic image classification Fairness analysis across skin tones, sex, and age groups Medical education and clinical training on diverse skin phototypes Comparison against HAM10000 or ISIC datasets in research Ethical Statement All patients provided informed consent for the capture and use of clinical and dermoscopic images, the collection of relevant clinical metadata, and the performance of skin biopsies for diagnostic confirmation. The study protocol was reviewed and approved by the Institutional Ethics Committee at Subred Integrada de Servicios de Salud Norte E.S.E and Universidad El Bosque (Bogotá, Colombia). All data were anonymized in compliance with Colombian health data privacy regulations and international ethical standards (e.g., Declaration of Helsinki). No personally identifiable information is included in the metadata or image files. Access to data was restricted to authorized investigators, and patients were informed about the research and educational use of their anonymized data. Suggested Citation [Author(s)]. (2025). BOSQUE Test Set: A Dermoscopic Image Dataset from Colombian Patients with Diverse Skin Phototypes [Data set]. Harvard Dataverse. https://doi.org/xxxxx

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