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Nike Dunk Low Panda Black White Sneakers Women’s 8 DD1503-101
Product Details
A timeless Nike Dunk Low “Panda” sneaker in the iconic black and white colorway. Crafted with smooth leather uppers, a padded collar, and durable rubber outsole, these versatile sneakers pair effortlessly with everything from jeans to dresses. Great pre-owned condition with light signs of normal wear. Details: * Brand: Nike * Model: Dunk Low “Panda” * Style Code: DD1503-101 * Size: Women’s US 8 / UK 5.5 / EU 39 / CM 25 * Color: Black & White * Materials: Leather upper, rubber outsole * Condition: Great pre-owned condition * Features: * Iconic Panda colorway * Lace-up closure * Perforated toe box * Padded collar and tongue * Cushioned midsole * Durable rubber outsole with pivot-circle traction * Classic low-top silhouette Style Tip: The Panda Dunk is one of Nike’s most versatile sneakers—pair them with denim, leggings, cargo pants, or dresses for an effortlessly sporty look. College Closet Upscale Resale * Smoke-free, pet-free environment. * Fast shipping—same or next business day! * Bundle multiple items to save on shipping. * Trusted 5-Star Posh Ambassador seller. * All sales are final. View all pictures and feel free to ask any questions prior to purchase. SEO Keywords: Nike Dunk Low Panda, Nike Panda Dunks, DD1503-101, black white Nike sneakers, women’s Dunk Low, leather sneakers, casual streetwear shoes, Nike low top sneakers, women’s Nike size 8, Panda sneakers
Daily Cleaning: Use a soft brush or damp cloth to gently wipe away dirt. Avoid harsh chemicals. For mesh areas, use diluted mild detergent and a soft brush.
Drying: Air dry in a cool, shaded place after cleaning. Avoid direct sunlight or high heat, which can cause fading and glue deterioration.
Storage: Stuff with paper to maintain shape when not in use. Store in a dry, ventilated area to prevent mold. Rotate between multiple pairs to extend lifespan.
Usage Notes: Designed for basketball. Not recommended for hiking, long-distance running, or other specialized sports where different performance features are required.







