20220226 11360600 1.0 ISO 19139 Metadata Implementation Specification FALSE MRCI_4S36HMLN2Tipl_2012aasg 002 532025.361948 2169131.620321 -290963.033796 244117.270176 1 0.011 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) MRCI_North_American_Albers_Equal_Area <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.7'><WKT>PROJCS[&quot;MRCI_North_American_Albers_Equal_Area&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-82.0],PARAMETER[&quot;Standard_Parallel_1&quot;,38.0748169],PARAMETER[&quot;Standard_Parallel_2&quot;,46.9603261],PARAMETER[&quot;Latitude_Of_Origin&quot;,42.5175715],UNIT[&quot;Foot_US&quot;,0.3048006096012192]]</WKT><XOrigin>-51899700</XOrigin><YOrigin>-29042800</YOrigin><XYScale>86775060.884176493</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem> 20220929 16231300 20240806 16002200 150000000 5000 ItemDescription Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.0.10450 Thickness/isopach map of the Hamilton Group in New York 1 -80.045959 -73.868067 43.168247 41.443972 The main purpose of this dataset is to provide a state/regional-scale map of the Hamilton Group for the National Geothermal Data System (NGDS)--the data should not be used as a substitute for detailed site investigations. The NGDS project was run by the Arizona Geological Survey on behalf of the Association of American State Geologists (AASG); the project received funding from the U.S. Department of Energy. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset contains a thickness/isopach map for the Hamilton Group in New York.</SPAN></P><P><SPAN>Author/Originator: New York State Geological Survey NYS Museum</SPAN></P><P><SPAN>Date Created: c. 2012</SPAN></P></DIV></DIV></DIV> National Geothermal Data System (NGDS), New York State Geological Survey NYS Museum National Geothermal Data System NGDS Geothermal AASG Thickness Isopach Silurian-Mississippian Carbon System Devonian Hamilton Group Hamilton United States New York <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The map was downloaded from the National Geothermal Data System (NGDS); any specific use limitations are unknown.</SPAN></P><P><SPAN>Hamilton isopach downloaded from: http://repository.stategeothermaldata.org/repository/resource/3592f7bc37ea27adea06455fbf7db274/</SPAN></P></DIV></DIV></DIV> Shapefile 0.011 dataset 25 Simple FALSE 25 TRUE FALSE MRCI_4S36HMLN2Tipl_2012aasg Feature Class 25 FID FID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. NAME NAME String 20 0 0 AREA AREA String 20 0 0 VALUE VALUE String 20 0 0 20240806 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QJK/dlLKrFbM1s6W0ZC2NkfvzP8A33Hb156dTUdFpp0Xcr+mKVl8+ZGnBu2XN5dD7tun9xff/wDXRrd669X2ERhgxtvKt8oP+PG1bjPrK/tR2svRfqx/0yW1aQvLLZmOebkT6lcHEa+oQdwPbA9zTjfeOr7ifn9wkb2U0odBc61cj+PH7pT7HhR+GaFyt/zP8P8AINfQuTpdND5mp30On2o/5ZQvt/Auf6Yqmna83ZCVvsq422vIIovJ0TT3mJ/5aspSP6ljy34ZojJJWpoGnvJj5LWGIrcazdpNIeVj24Qeyr1P61orpXkyXZ6IkF5f3w22Ft9ng7T3K4J/3U6/nj6VPNKXwq3qOyW4x9Hss5vryWWc8lnm25+gHAFL2cftPUfO+iOjrYzCgCpqd59g0+a4Ay6jCL/eY8AfnUzlyxuOKu7CaXZ/YdNhgJy4XLn1Y8k/nShHlikOTu7lbWJGuANMg/1s6Eu2eI4+hP1PQD/CrJKusKqJYIoCr9rjGAO1ZVenqXDqa1akBQAUAZUo2+Jrcr1e3YP9AeP61k/4i9C18Jq1qQFAGXofMV4/9+7c/wAh/SsqXX1Ln0NStSDK1795ZRWY63cyQ/8AAc5b/wAdBrKrquXuXDe/Y1elakGTIov9fWNhuhs03kHoZG6fkP51k/enbsXtH1LmoXyafamZ1Z2JCxxr952PAUfWrnJRVyYq7sV9PsmthJe3zq15KMyPn5Y17IvsP161MI296W45O+i2K2G1+QM2V0tDwvQ3BHc/7P8AOp/i/wCH8yvg9R023Vbz7DEP9DtyPOZejN2Qf1q1K7suhLVldggGqasCAPsNg2F9JJv8FH6n2qPjn5L8/wDgD+FebC2ZdQ1CTUZCBa226ODPQn+J/wCg/GiPvS53sgeisJZSLK0+t3Z2RbSsO7+CMd/qaIu96khv+VC20Ml/Kup6gPLhT5re3bpGP77f7WPyFEU5Pnl8hN291DVM+u5fzHt9L/h2na9wPXPVV+nJ+lGtTyX5j0j6ixXUcWbLRLOI7OC/3Y1PuQOT/nNXblVoIm937xXnjjt7pDdSSapqn3ooBwkZ9QvRR/tHJrJpJ66yLWq00Q0RXKXbRJMsurzLma42/Jax+ij+Q6k8mizTt9p/gF1byIStuLRiob+zLd+cnLXk2e57jP5n2FTpb+6vxY9b+f5CSQs0kiXUm2SSPzr6VTjy4h0iX09/x9aGu/z9OwX7fIRU+0Pbi4sHu5nj82Gy3KkNtHnClgep98E9cAUb2ur+XRBtszWW11i4AEt3BYx/887RN7D/AIGwx/47WvLUe7t6f1+hF4rzGPZ6RpRFzdsJJ+01y5kkJ9Fz/IUnGnDWW/mF5S0Q77TqeoDFnALKA/8ALe5XLkf7Mfb/AIEfwNPmnL4VZf10C0VvqL9j0/Sl+13s/mSDH7+5ILZ9sADr6DvVXUI+8xWcnohPtGo6nxaRmytj/wAvEy/vGH+yh6fVvyqbzn8OiHaMd9SRPD2mBf31qlzIeWluB5jsfcmhUYdVcOeRcvLuUalZ2NtjzJCZZSRnbEvX8SSB+fpTlJ8yihJaNs0K0JMS6kW71oK8gFrYr5kpPTf2z9BUXUnbsVZpXJG1O4vvl0xFEfe5lU7f+Aj+KrJJLWzMEkk0s7zzyhQzsAOBnAAHQcn86AKkn+m6/HEP9VZr5je7t0H5ZNZP3p27F7R9TVrUgKACgDKh/f8AiS5ftBCsf4k5rJa1H5FvSJq1qQI52ox9BmgDN0ED+y1b++7t+ZNTGKS0G3dmnVCMp/8ASvE0afwWVuZD/vyEgforfnWT1qen6l7R9TUYhVLHoBmtSDM0JS1nJdt9+5kaQ/TOAPyFZUtubuXPew1R9t8ROzcxWMYVR28xxkn8Fx+Zo+Kp6BtH1G3IfVtSksiStnb7TPg8yMRkL9MYJ+tJ+/Ll6IF7qv1JdSlkBg060Plyzcbl/wCWaDqR/IU5t6Rj1CK6sZeAadp8NhYDZNO3lRHqR/ec/QZP1ol7sVGPUFq7sZfRiy0+20qyJSS4PlKw6qvV3+uM/iaUlyxUI9QWr5mF/Euy00a2GxHHz4/hiXr+fSia2poIveTFvEF5qNvpqDFvABLMB04+6v8AX8KJLmkodEC0XMF0Dq9+1gv/AB5QEG5I/wCWjdRH9O5/KiXvy5ei3/yBe6r9QvCdRvBpkJ228YBuWXjjsg+v8qJe++RbdQWi5iS5uDE6abpkaLMV5IHywr6n+gpylb3IAl9pkTiLR4FtrVWmvrk9Tyznu7H0FGlPRathrLV7EDWzW8aaRbyO09xl7m47gdz7E9quSurEp2dyVo4pdTgtI1C2mnoJHA6bsfKPwGTWdk5KK2RfS/cohWu7aMNnzNUudz+0S84/IAfjWfxL/E/wK2foael7Zb3Ub8kBPMECE9AkfB/8eLVrT1cpf1oRLZIb9su9VYrp58m1zg3TDJb/AHB3+tLmlP4du4WUdyxBp1lp266kO+UD5ridst+Z6fhVKEY6sTk3oQnVLi9JTS7fevT7RN8sY+ndqXtHL4EPlS+IltdJSOYXV3Ibq7HSSQcJ/ur0X+fvTjTs7y1YnLojRrQkKAKWio1x5+qyqRJdkeWD1SIfcH48n6msqaveb6/kXLT3Szq2oxaVps13KQAg+UHux6D86ucuVXJiruxiaZZS3UMbXCsISTK4bgzSHnJHoOwpU48q13HJ3ZvgADAGAKskbJIsUbSOcKoJJpN21AztDRjZvdyDEl3IZjn+6fu/pj86zpLTmfUue9jTrUgKAEZgqlicADJNAGZoYMlvPeMObmZnH+70H8qypapy7lz7GpWpBBeyiGxnlPRYyf0qZO0WxrVkOjxmLR7ND18pSfqRk/zpU1aCHL4mXasky9N+fV9Xl9JY4vwEan/2Y1lD45P+ti5bItalJ5WmXL+kTfyq5u0WTHcNMj8rS7VPSJf5UQVooJbsq6J86Xtwest1J+SnaP0WopdX5lT6INE/eC+uP+e13Jj6LhP/AGWil1fmE+iE0/8A0nVb67PIRhBH7Acn9TRDWTl8glokgg/0zX55+sdonkp/vHlv6D8KF702+wPSNu4ln/pmt3l4eY7YfZovr1c/ngf8Boj703Ltp/mD0ikNsJA7XmqysDHysZ9EXr+oqk1bmFZ7ENvO9lo82ouubq7bcinuW4Rf5Vmm4wcurKavKxMSdE0eOKMebezNtQHrJK3JJ9upPsKf8OFlv+ovil5A3/Ek0xIYv315O2AT1kkPVj7d/oKP4cbLdh8T8hwCaHp5dsz3czcn+KWQ9vp/IU9KcfMPiYxFXSbWXUL0ma9lwDt6kn7qL/n3pL3FzS3D4nZbCIX0nT5r26/eX9ywJVe7nhUX2HT8zQrwjzPdj+J2WxFcQvp+im33b769fazD+J26/gB/Kk1ywt1YJ3lfohHdLa+uJQP3Wm2e1R/tEZP6AUtm32Qbr1I47Vnh0vRnYiJ4GnucdXwV+X6Etz9KFHSMPvHfeR0SqsaBVAVFGABwAK6NjIxrS2TWJpL66BkgDlbeJj8uBxux3JNYxjzvme3Q0b5dEbQAUAAAAdAK2MxaACgAoAguNUt7Vvs0INxcgACCHkj03Hoo9zigDGuYLi713ThfSB8b5jAh/doAMD/eOSOT+QrKes4ouOkWzoK1ICgDK1omdINOQnddvtbHaMcufy4+pFZVdbQ7lw017GoqhVCqAABgAdq1IFoAKAM3W5XFiLaI/vrphCntnqfwGazqvSy6lQWty/DEkEEcKDCIoUD2FWlZWJbuPpgZevsTpLwqfmnZYR/wIgVlW+G3cuG9zTVQqhQMADArUgWgDL0P94l9cj7s95Iyn1C4T/2SsqWt33Zc+iF19tuizqOr4QfiRTrfAwh8RoqBHEo7KMVeyIMzQDjQ4pW/j3SH8ST/AFrOj8Fy5/EJoJ8vw5bSnq8ZmP1Ylv60UtKaYT+Idon7rREnbrJumY/Uk/yopaQuE/isM0lxa+H/ALXL1ZXuJCffJNKm7U+Z+oS1lYro0mn+EFf/AJeZI8+5lkP/AMU1LWNLz/Vj3mSX1uIrGw0eI8SlUbH9xRlj+lOStFQQJ6uRLKn2rWoIAv7i0XeR23YwP0rRxTt5EJtCWX/Ew1SfUG5hgJgtvTj77fiRj6D3qI+9Jy7bFPRWCwP9oX0uqP8A6hMxWuem0fef8T09h70oe9Ln6dAlouULBf7Svn1KT/UoTHbKfTu/40Q9+XO/kEvdXKJa/wDE11M3p5tbYlLcdnboz/0H4+tEfflzdFsD91WFt/8Aiaau92ebWzYxQ+jydHb8Puj/AIFQvfnzdED91W7iWrC+1CfUpD/o1vuigz0OPvt/T8DRH3pOb2QPRcpQYNLoTOwxJqV0vH+yW6f98g1G8PVlfa9DSUZ8UBR0jsf/AEJ//sa0/wCXvyJ+x8yTW52i09oYs+fcHyYgO5P+AyadV2jZbsUFrcu28K21tFAgwsahR+FWlZWE3d3JKYgoAKACgDL0u3htL/UYYI1RN6NgdyUHJ9Tx1oAIv33iad+1vbKn4u2T/wCgislrUfki9ompWpAUAZVl/pet312fuQYtYv0Zz+ZA/wCA1lH3puXbQt6RSNWtSAoAKAMiz/4mOqy37cwW5MNv7n+Jv6fnWUfflzdEW9FY161ICgDKvf8ASdbsLYcrFuuH/D5V/U5/CspazS+Za0i2atakFLVbtrPTpXj/ANcw2RD1c9KUr2dtxq19SSwtVsbCC2TkRoFz6nuaUI8sUgk7u5T1X9/eafaD+ObzGHsvP88VFTVqJUdE2WdVnNtpN1KPvLE2364wP1qqjtFsUVdorzD+zvC0uOPItGx9QtS/dp+iHvMVk+x+GRH08q1C/kuKfw0/kG8iOQ/ZvCeOhW0A/Hbik9KXyDeZHqaeT4SeEcFoViH1bC/1pT0pWHH4yXUB5uoaVZD7u8zMPZBx/wCPFac9ZRj/AFoKOzYkDifWry7c/urRBCp9/vN/ShazcuwPSKXcqRzSwaJPerxdX0n7v2LHC/kOahNqDl1ZVryt2JruIw2lpodmxV5k2u46xxD7zfU9B7n2pyVkqcf6Qk9XJkupjEVtpFp+78/5Pl/giUcn8uPxqp7KEeoo/wAzDU38qCDS7QiN5hsBBx5cY6n8uKJ6JQj1CP8AMxuo3MVlYwafZTRxyzEQxncP3a45b8B+uKJ+6lGPUI6u7IdQvbTTdIisbKeNGciCMhs7AerH6DJon7sVGPoC1d2Q32pacmn22lWd1GBKVhyD91O5/wA+tKatFQXUI6vmZelRZdcsrVBiK0iMpA7E/Kv9abV5pdgXwtjrD99reqT9kMdup9lXcf1c0Q1nJ/IJfCkCf6Z4ikfrHZR7B/10bk/kuP8Avqhe9U9A2j6mrWpAUAFABQAUAULbjWr8escTf+hD+lAEWncavqwPXzIz+G3/APXWUPjkXLZGpWpAhIUEk4A5NAGb4fU/2QkrDDzSSTN9Wcn+oH4VnSTUdSpvXQ060JCgDP1e4khsxFB/r528qPHYnv8AgKT2sNFq0to7O0itohhI1CiiMVFWQN3dyQuq9WA+ppiI2u7ZPv3ES/VwKAMfSdQsp7i81F7yAec/lxBpAD5aZA79zuP4isqerc+5ctLRNM6pYD/l8gP0cGtSDIu9VsbvWreHz90NsplfarHLnhRwPqfyrNtudl0Kt7tzS/tmy/heRvpE/wDhWhJmW2qR3WuXF0lvcyxwxiFCkffOW/pWUfem32LekUg1fUmuvs9hHY3e+WRXYFAPkU5Pf1xRU1tHuENNQ1u9uLiySxSwmDXcixAMQMrnLf8AjoNFXWPL3CG9+w7W7y/OlyQf2eFafEKfvgeW46Yoqv3Ldwh8QzVm1N7S3sfJt0M8ixgbyeByf5UVNlHuEN7i6sNUmNnYH7IDNMrfLu4VCGJPtkAfjRU1tEIdWJHHqFxr91KbqFPskCxbljyMt8xHPsF/Oha1G+yD7K8yksN+vhsyi+Aa+lJ2+SOd7YHOfTFZ/wDLv1K+36Fy406dtT06xa/lKRKZTtULjAwP5mrkvejElbNj7HTfP1bUJmvbtthWFT5gzgDJ7epNWovncmJvRISw0q2vNUvriQyyJEwt4y0rZ4GWPB9Tj8KmGs3L5DlpFIXTtJsrnUb25MJaNHEMe52PTr1PrRDWTl8glokh9nptldaxc3P2WEwwqIYwUBBPVj/IfhTSbm2xN+7Yl0qCG6vZ9QSFEhBMUG0YDAHBbHuaqMubVCatoJDCmq6heSTKWt0HkKM8E9yKE1LYGmiKwNvpGp38d3e/MQjI9w4zsx0z3wc0KNm33BvSxLpF0kehT6iTuWaSScEdwWO39MVFL4b9yp72LejQNDp4kk/1s7GaQ+pb/wCtgfhVxiokt3NCqEFABQAUAFAFCawma+e6gvGhMkaoyhFbO0sQef8AeoAzLa0vD4gvgmpSjEMW9hEnJy+O31rKP8R/It/CjS+w3v8A0Fp/+/Uf/wATWpBXv7aa20+5nm1Kdo44mZgQoBAHsKmUuWLY0ruwafpLDTrYSXV2jeUpZFlIAOOf1pxu0rg99Cx/ZKd7u9/8CW/xpiEfTII0Z5Lu8CKCWLXT4A/OhuwGZp+kwaldNqMyym2A22qSOxJHdzn17e31rKHvy53t0LlouU1P7E03vaRn61qQNm07SLOB55reCONBlmYcCk2krsaV9EZ8ekx6uyyTWi29gDlIduHl9C3oPb86ys6m+iLuo7bm4LS2UAC3iAH+wK2MynqM0NlGkcNvG91MdsMYUcn1PsKic+XRblRVyXTdOWwgIJDzyHfLJj7zf4UQjyrzCTuRaleSBlsLMj7XMOGIyI17sf6CnPmtaIo2vqWbeCDTLERqdsUakszHk9yT70RShGwNuTKekxvcyS6pMCGn4iU/wxjp+fWopq/vvqVLT3UJD/p+vyT9YbJTCnvI2Cx/AYH50L3p37A9I27gf9P8QY6w2C5PvKw/ov8A6EKPiqen5htH1HKpu9dMhB8u0QqvoWPU/lVON5XJvpYbZ/6Vq93eFsxxfuUOeOPvfrTTT1BpooJKy+Gby9X/AF1/IzR+vznZH/47trBP925d/wCkaW95LsXLmFVvdJsE+5F+8I9kXA/XFXJaxiSno2S2v77xBey9oY0hH8z/ADpx1qNg9IoZpEypo816/CO8k3/AcnH6CnCd48zFJa2F0xZLPw4kjIxnaNpnUDJ3tliPzNKF4079Ry1kSWMMlloKgIxn8ouVHUuecfmacE4wFJ3kVvsl3DoKWsAIuJyFkcceWG+834DP44onzONluwVk9S9cg6dpDJaQljFHsijQZ5xgU5e7D3QWr1H6daCxsIbfOWVfmb+8x5J/PNOEeWKQpO7uSS2tvO4eWGN2XoWUHFUI5/V9Ohsp7doI3gsXYNeCNMptQ7hkDkZPf0BqZRTVhp2dzpRjAx07VQhaACgAoAKACgBHYIjOxAVRkk0bAZmhqZLWS/cYe8kMwz2Tog/75AP4msqWq5u5c97djUrUgytY/wBKms9NHInk8yUf9M0wT+Z2j8TWVTVqHcuOl5GrWpAUAY0+davTaqT9ggb9+R0lcfwfQd/yrF/vHboi17qv1NkAAAAYArYgRmCKWYgKBkk9qAMe3Q61dC8mX/Qoj/o8Z6Of75H8qxS9o+Z7dC37qt1NmtiCC8u4rG1e4mOFXsOpPYD3qZSUVdjSu7FTTbSUyvqF6P8ASpRgJ2iTso9/WphF35pbjk+iLd3cfZLWSfy3kKjhEGSx7AVUnyq4kruxX0uzlgjkuLpg15cHfKQeF9FHsBx+Z70oRaV5bscmnsN1O3nvWgtFUi2dt075/hH8P40ppytHoEWlqXJxKts4tlXzQpEYbgZ7fhVu9tBLfUi06zFhYxwA7mAy7f3mPJP4mlCPLGwSd3cbptk1laFJHDzyO0krgfeYnJ/DoB7ClCPKtdxyd2Os7P7JDIvmF3kdnZyMHJ/wpxjZbibuJBp8UGnGyVn2MrKzZ+Y56nPrzSUEo8o3K7uONjbm3ggMf7uAqY1z0K9KfIrJdhcz3JfIiNwJ9g80LtDd8elOyvcL6WFSKOMsURVLnLEDGT6miyQhyqqqFVQFHQAcUwFoAKACgAoAKACgCpqlu91pV3bxsVeSFlBGOpHvQA+xmFzp9tOvSSJWH4igCxQAUAFABQAUAZeuF5reHT487ryQRMR/DH1c/wDfII+pFZVdUorqXDR37GmqhFCqAFAwAOwrUgWgDPtLeVtVu7yZducQwg/3ByT+JJ/Ss4xfM5MpvRJGhWhJBeRzS2kkdvII5WGA57e9TJNqyGrX1CztY7K1jt4hhEGPqfWiMVFWQN3dyeqEQ3drHeW7QSlvLb7wU4yPSplFSVmNOzuSqqogRAFVRgAdhVbCFoAa8aSY3orYORkZwfWi1wHUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAR3EP2i2lhLsgkQruU4IyOo96AKGjzbIn05wqzWeI8LwGXHysP89QaANOgAoAKACgAoATAJBxyOlAC0AFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAUrvTUup451lkhlUFd8ZwSp7UAVVn1i1Qo9ml0FbCyLLhmX1II6/jQBasdQF480bRNBNE2Gjcjdg9DQBdoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgCC7uks7Z5pMnA4UdWPYD3NAGaum3l1Kl9Pdtb3Sg+WkSqVQH+FsjLds9PbFAE/wDaE9n8uowYT/n5gBaP/gQ6p+o96ANCOSOaNZInV0YZDKcg0AOoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAzbsGfV7OHOVjDTOPQ9FP8AOgDSoAKAKEmmKsjTWUhtZictsGUc/wC0vT8Rg0AN+2ahF8kuntKw/jhcbT+eDQBo0AFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAFPVNQTTNOmu3QvsHCL1Y9gKAG6dbuqNdTtuuJwGY4xtHZR9KAL1ABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQBHNMlvBJNIcJGpZj7AZoAz7eObUpIL25KLAvzwwqd3UcMx6E47Dj60AalABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAGZZ5sL46eTmB1Mlv/ALIz8y/QZGPbjtQBp0AFABQAUAFAH//Z