Token

c2eb13382d51a0c243208eb5ae985f49d4b17d1b84bc326d8f0c51e1d17dbfcd

ID
c2eb13382d51a0c243208eb5ae985f49d4b17d1b84bc326d8f0c51e1d17dbfcd
Issuing Box ID
9e1db115b2dd325ba8bec96703445a6d458054554a90e88b14a37be0899d6bbd
Name
Lycan The Ice Queen
Emission amount
1
Decimals
0
Description
{ "Token Description":"The Ice Queen", "Collection":"Lycan trope", "Tribe":"Prime Tribe 2022-2023", "Token number in collection":"005", "Sister NFT":"Ermine with the Pearl Earing", "Animaltype":"Ermine", "Occasion":"Full moon", "Moon":"Cold Moon", "Month":"December", "Year":"2022", "Lycans shapeshifted":"4", "Background":"The Ermines are really the Belles to the Beasts, the Lycan Polar Explorers Amundsen (Lycan 007) and Scott (Lycan 008). They needed to be a sweet, and elegant, but strong antagonists to the Polar Explorers. The Ice Queen is steadfast and strongheaded. As a queen, she is 'above the crowd' in attitude and attire. Her dress code was inspired by ceremonial Inuit clothing.", "Artist Twitter":"@LycanNFT22", "Mint Address":"9gmNrBJ3RXn3nGSas1mbBwGh5W7BJ7t7SaYiXAFEqPaefESSgD9", "Mint Date":"07 December 2022" }
Type
EIP-004
Issuer Box
{
  "boxId": "c2eb13382d51a0c243208eb5ae985f49d4b17d1b84bc326d8f0c51e1d17dbfcd",
  "transactionId": "522cce70d2ef30e8ac1b2942d3dac1e6ea9f1c50cbc0b5be59c8584ab20c6f8e",
  "blockId": "11dc062f793d2b640d03474bc7eaf43db81dc2cd87a95239470ce12bac31a0d8",
  "value": 2000000,
  "index": 0,
  "globalIndex": 24359960,
  "creationHeight": 891246,
  "settlementHeight": 891248,
  "ergoTree": "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",
  "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 2\n5: 1\n6: 1000000\n7: Coll(0,8,-51,3,39,-26,13,107,-81,66,-46,-32,-24,-31,9,-39,-1,-38,-56,-67,-25,-31,-99,-38,42,81,25,-48,34,-9,1,94,57,26,-30,6)\n8: Coll(1,1)\n9: Coll(127,67,30,-42,86,69,68,-19,-25,74,-84,27,45,-119,123,-38,-65,-103,-53,95,88,110,-29,52,118,47,54,45,-59,99,127,70)\n10: 0\n11: 4000000\n12: Coll(0,8,-51,3,39,-26,13,107,-81,66,-46,-32,-24,-31,9,-39,-1,-38,-56,-67,-25,-31,-99,-38,42,81,25,-48,34,-9,1,94,57,26,-30,6)\n13: 1670454560244",
  "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val l2 = box1.value\n  val coll3 = INPUTS(placeholder[Int](1)).id\n  val tuple4 = box1.tokens.getOrElse(placeholder[Int](2), (coll3, placeholder[Long](3)))\n  sigmaProp(\n    (\n      (OUTPUTS.size == placeholder[Int](4)) && (\n        (\n          (\n            (\n              (((coll3 == tuple4._1) && (tuple4._2 == placeholder[Long](5))) && (l2 == placeholder[Long](6))) && (\n                box1.propositionBytes == placeholder[Coll[Byte]](7)\n              )\n            ) && (box1.R7[Coll[Byte]].get == placeholder[Coll[Byte]](8))\n          ) && (box1.R8[Coll[Byte]].get == placeholder[Coll[Byte]](9))\n        ) || (\n          (l2 >= INPUTS.fold(placeholder[Long](10), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - placeholder[Long](11)) && (\n            box1.propositionBytes == placeholder[Coll[Byte]](12)\n          )\n        )\n      )\n    ) && (HEIGHT.toLong < placeholder[Long](13))\n  )\n}",
  "address": "2eR9oDmG9onJa8DfTAoSMZUXWQFD3iMhsXJKFwkK7eaEzDKDw3uZ8Pn2cspHjCfSqhysd6eoiXkytfyZ7JFAE1DP7WtE8zFtpjRurZbnekRifcTKhth6tay31HDZnxKosdkJfqY4wxqkhFXPQ2auhKkheQKCsvKLGW1pqcSSTsug7enseCLDzwc1gT87xtCWZ4StwV1V6E8bYhXAep9K8zf8LPNiT6xCwAAEB7wzDSvHYXcsj1XEfCVP5JNZ2Rt7yaskvga9YWD4uuoau4PwnWLZpHuBPi2vK5c1i9idEe58fAnKnVEW3oHtT6g9BHriuZUrwKnQXqguCPEZrpgQA4iiy8DBn5wCXiHNekiRJ4G677SasMkHMpD3uReqYw9957DFB",
  "assets": [],
  "additionalRegisters": {
    "R4": {
      "serializedValue": "04c801",
      "sigmaType": "SInt",
      "renderedValue": "100"
    },
    "R5": {
      "serializedValue": "0e240008cd0327e60d6baf42d2e0e8e109d9ffdac8bde7e19dda2a5119d022f7015e391ae206",
      "sigmaType": "Coll[SByte]",
      "renderedValue": "0008cd0327e60d6baf42d2e0e8e109d9ffdac8bde7e19dda2a5119d022f7015e391ae206"
    }
  },
  "spentTransactionId": "0207edec038bc6aa9f7f4bb2835b09c5cdfa3ca237a85da24d723b25ca405517",
  "mainChain": true
}