{
    "name": "The Sea #15",
    "description": "Beacon\nThe Sea #15\n\n// The series Beacon by Peter Nitsch explores themes of identity, belonging, and desire. Drawing inspiration from maritime signals, a beacon traditionally guides seafarers to their destinations. Similar, within the urban landscape, bus stops function as beacons among the sea of concrete. After a long day or journey, spotting the beacon on the coastline evokes a sense of relief, and fills the heart with anticipation for home.\n\nAt the core of the Beacon series lies photography, offering a distinctive 360º narrative journey that encompasses different media, presented in three parts - The Coast (mixed media), The Sea (photography), and The Wave (collectors reward airdrops).\n\n—\n\nThe Beacon series, curated by Colonna Contemporary as part of the Narratiff exhibition, features 42 artworks. Five of these artworks include a unique signed single edition print, produced using T.R.A.C.E. technology by Transient Labs. T.R.A.C.E. provides a digital Certificate of Authenticity backed by blockchain technology and an NFC chip with its own digital wallet for security.\n\nThe photograph \"The Sea #15\" is paired with a signed 29 x 20 cm single edition fine art print on Enhanced Matte Paper 230g using archival pigment ink, and a garland commonly hung on the mirror by bus drivers.\n\n—\n\nThe Sea #15\n\nSingle edition\nFine art print on Enhanced Matte Paper 230g\n29 x 30 cm\nNFC chip + digital COA using T.R.A.C.E. by Transient Labs\n\nLaunchpad:\nhttps://launchpad.transientlabs.xyz/nfts/ethereum/0xa48525ce04897fc7788c0766cabd5a5e935ff60b/15\n\nFoundation:\nhttps://foundation.app/mint/eth/0xA48525cE04897fc7788C0766CaBD5A5E935FF60B/15\n\n—\n\nBeacon, presented by Colonna Contemporary as part of the Narratiff exhibition:\nhttps://foundation.app/gallery/colonna-contemporary/exhibition/631\n\n—\n\nThis artwork listed is indeed authentic, created by, and copyright to lens-based artist Peter Nitsch; the purchase of this NFT is a purchase of the asset, not of the copyright.",
    "image": "https://arweave.net/d7C0lDaNlE8Kw2cNR7U0sFyHdOfFbYQMozCgZjiZJow",
    "image_sha256": "62e05a5bc383fa5a32df859d179cbe2462923a3d541a11021dd1b18542ef6955",
    "media": {
        "uri": "https://arweave.net/d7C0lDaNlE8Kw2cNR7U0sFyHdOfFbYQMozCgZjiZJow",
        "mimeType": "image/png",
        "size": "11121471",
        "dimensions": "4320x4320"
    }
}