Token

ab480666911281e08e3565c84fbc698ea9744915b7e5aca944a237f787947a61

ID
ab480666911281e08e3565c84fbc698ea9744915b7e5aca944a237f787947a61
Name
Sigma Series v1 003 - Lab safety 3
Emission amount
1
Decimals
0
Description
{ "Collection":"Lycan Labs", "Series":"Sigma Series v1", "Theme":"Lab safety", "Number":"003/045", "Remarks":"Commissioned by @Kill_it_w_coffee. The Sigma Series v1 consists of 5 themes with 9 NFTs each.", "Artist Twitter":"@LycanNFT22", "Mint address":"9eXsnZzmkr99Kr8DxHjNFhVnjtHHYYZ25y6hEVw58DxSCXDaQVe", "Mint Date":"19/03/2023" }
Type
EIP-004
Issuer Box
{
  "boxId": "ab480666911281e08e3565c84fbc698ea9744915b7e5aca944a237f787947a61",
  "transactionId": "a8a4c62c6d818aa88beb429a5b24d17b5d1cd11afd650cf2eee28ac4b4a27000",
  "blockId": "fd01a04b72e31819827e3b670fe1b72da5833879a817f21c8446c7c463c07236",
  "value": 2000000,
  "index": 0,
  "globalIndex": 27589255,
  "creationHeight": 963996,
  "settlementHeight": 963998,
  "ergoTree": "100e0400040004000500040405020580897a0e240008cd0201d9c1de450534a438c0487a3cdecad9d979d7dd20509600f26ad622ccb4c1790e0201010e209fc84656ea6a33c76b9f9c560eda091e236ca6bec9855bca0d952a35ac80561905000580a4e8030e240008cd0201d9c1de450534a438c0487a3cdecad9d979d7dd20509600f26ad622ccb4c17905fa8289badf61d803d601b2a5730000d602c5b2a4730100d603b2db63087201730201860272027303d1eded93b1a57304ecededededed9372028c720301938c720302730593c17201730693c27201730793e4c67201070e730893e4c67201080e7309ed92c1720199b0a4730ad9010441639a8c720401c18c720402730b93c27201730c8f7ea305730d",
  "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 2\n5: 1\n6: 1000000\n7: Coll(0,8,-51,2,1,-39,-63,-34,69,5,52,-92,56,-64,72,122,60,-34,-54,-39,-39,121,-41,-35,32,80,-106,0,-14,106,-42,34,-52,-76,-63,121)\n8: Coll(1,1)\n9: Coll(-97,-56,70,86,-22,106,51,-57,107,-97,-100,86,14,-38,9,30,35,108,-90,-66,-55,-123,91,-54,13,-107,42,53,-84,-128,86,25)\n10: 0\n11: 4000000\n12: Coll(0,8,-51,2,1,-39,-63,-34,69,5,52,-92,56,-64,72,122,60,-34,-54,-39,-39,121,-41,-35,32,80,-106,0,-14,106,-42,34,-52,-76,-63,121)\n13: 1679258886333",
  "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = INPUTS(placeholder[Int](1)).id\n  val tuple3 = box1.tokens.getOrElse(placeholder[Int](2), (coll2, placeholder[Long](3)))\n  sigmaProp(\n    (\n      (OUTPUTS.size == placeholder[Int](4)) && (\n        (\n          (\n            (\n              (((coll2 == tuple3._1) && (tuple3._2 == placeholder[Long](5))) && (box1.value == 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          (box1.value >= INPUTS.fold(placeholder[Long](10), {(tuple4: (Long, Box)) => tuple4._1 + tuple4._2.value }) - placeholder[Long](11)) && (\n            box1.propositionBytes == placeholder[Coll[Byte]](12)\n          )\n        )\n      )\n    ) && (HEIGHT.toLong < placeholder[Long](13))\n  )\n}",
  "address": "27MsbVTqUGG4XCBKyWfKSgXs6UZyjYk8YYwNsbagBDjTQBiwtQ6bYfcXEz3iHGmDypde1rVUChMhFi2nKD5dE7U88ARPZM92k9Sd8wrgipGBBh9E2uKSNFPy3Us7bBkjNC3oBZjCB5XhwtSncjX9YC5janMHpCci8pvVQRXZLUvrsZnEmCupYqqhEFzw7HvDiX9cNeuxfzp5dbHyxVgojJKwCVLwh5Mq4s4aK6Lk1BVK1cpUquvVDGZgkPZt6XDh7ZSQt82X7oGfPMatezEqF1GXBxRk8d2nUxjhwvimnNaQYN5N9ByHT2uTqQHB16zbUtBpnowEJBwufs7KRRCGLhQDuVhwx7BJbE9KPAznVd33VT4XvXqGd35A3uoom72sw",
  "assets": [],
  "additionalRegisters": {
    "R4": {
      "serializedValue": "043c",
      "sigmaType": "SInt",
      "renderedValue": "30"
    },
    "R5": {
      "serializedValue": "0e240008cd0201d9c1de450534a438c0487a3cdecad9d979d7dd20509600f26ad622ccb4c179",
      "sigmaType": "Coll[SByte]",
      "renderedValue": "0008cd0201d9c1de450534a438c0487a3cdecad9d979d7dd20509600f26ad622ccb4c179"
    }
  },
  "spentTransactionId": "bfcd5d0f3a0659c9bcc65876ab1e43b20b16c40c1ba138888efdf7e573a85917",
  "mainChain": true
}