20160412 19251000 FALSE 20150416 11312500 20150416 11312500 ADRESSE 001 928269.034900 942065.954400 6838776.325600 6853326.535800 1 Projected GCS_RGF_1993 Linear Unit: Meter (1.000000) RGF_1993_Lambert_93 <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/10.1'><WKT>PROJCS[&quot;RGF_1993_Lambert_93&quot;,GEOGCS[&quot;GCS_RGF_1993&quot;,DATUM[&quot;D_RGF_1993&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,700000.0],PARAMETER[&quot;False_Northing&quot;,6600000.0],PARAMETER[&quot;Central_Meridian&quot;,3.0],PARAMETER[&quot;Standard_Parallel_1&quot;,44.0],PARAMETER[&quot;Standard_Parallel_2&quot;,49.0],PARAMETER[&quot;Latitude_Of_Origin&quot;,46.5],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,2154]]</WKT><XOrigin>-35597500</XOrigin><YOrigin>-23641900</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>2</ZTolerance><MTolerance>2</MTolerance><HighPrecision>true</HighPrecision><WKID>102110</WKID><LatestWKID>2154</LatestWKID></ProjectedCoordinateSystem> 1.0 INSPIRE Metadata Directive 150000000 5000 INSPIRE ESRI ArcCatalog 9.2.6.1500 fr REQUIRED: A brief narrative summary of the data set. REQUIRED: A summary of the intentions with which the data set was developed. REQUIRED: The name of an organization or individual that developed the data set. REQUIRED: The date when the data set is published or otherwise made available for release. ADRESSE_1 vector digital data withheld REQUIRED: The basis on which the time period of content information is determined. REQUIRED: The year (and optionally month, or month and day) for which the data set corresponds to the ground. REQUIRED: The state of the data set. REQUIRED: The frequency with which changes and additions are made to the data set after the initial data set is completed. 6.096380 6.292873 48.739697 48.603394 877104.140000 890854.080000 107912.290000 122384.790000 REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords. REQUIRED: Common-use word or phrase used to describe the subject of the data set. REQUIRED: Restrictions and legal prerequisites for accessing the data set. REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted. Esri ArcGIS 10.2.2.3552 2013-10-09T00:00:00 external ab43b99d663d1fba4930ba90bb7949fb Communauté Urbaine du Grand Nancy Communauté Urbaine du Grand Nancy Communauté Urbaine du Grand Nancy 22 24 viaduc kennedy Nancy Lorraine 54000 sig@grand-nancy.org FR 0383918391 0383918391 True Communauté Urbaine du Grand Nancy fgfhfh 877104.14 890854.08 122384.79 107912.29 1 6.09638 6.292873 48.739697 48.603394 1 1 6.097121 6.292331 48.739662 48.603876 external ab43b99d663d1fba4930ba90bb7949fb Communauté Urbaine du Grand Nancy Communauté Urbaine du Grand Nancy Communauté Urbaine du Grand Nancy 22 24 viaduc kennedy Nancy Lorraine 54000 sig@grand-nancy.org FR 0383918391 0383918391 True Communauté Urbaine du Grand Nancy Pas de limite d'utilisation <DIV STYLE="text-align:Left;"><DIV><P><SPAN>Pas de limite d'utilisation</SPAN></P><P><SPAN /></P></DIV></DIV> fr FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time REQUIRED: The person responsible for the metadata information. REQUIRED: The organization responsible for the metadata information. REQUIRED: The mailing and/or physical address for the organization or individual. REQUIRED: The city of the address. REQUIRED: The state or province of the address. REQUIRED: The ZIP or other postal code of the address. REQUIRED: The telephone number by which individuals can speak to the organization or individual. 20100215 ISO 19115 Informations géographiques - Métadonnées # 11108 dataset Downloadable Data 002 withheld v10 9.2 Vector Simple FALSE 57592 TRUE FALSE GCS_NTF Lambert Conformal Conic coordinate pair meters 0.010000 0.010000 D_NTF Clarke_1880_IGN 6378249.200000 293.466020 Explicit elevation coordinate included with horizontal coordinates 1.000000 Lambert Conformal Conic EPSG 8.2.6 57592 20150416 Jeu de données copié. withheld 20090925 15573200 Jeu de données copié. withheld 20091113 17123800 Jeu de données copié. withheld 20100215 18095200 Jeu de données copié. withheld 20100601 17322700 Jeu de données copié. withheld 20100604 16580800 Jeu de données copié. withheld 20100604 17364200 Référent PDUS Communauté Urbaine du Grand Nancy Référent SIG pdus@grand-nancy.org Référent PDUS <DIV STYLE="text-align:Left;"><DIV><P><SPAN>Confidentielle</SPAN></P></DIV></DIV> gv 2013-10-09T00:00:00 huju 0 2013-10-09T00:00:00 gvg D7C3DD56-26DE-4E00-8A33-DE3DD60293C6 fg ADRESSE Feature Class 57592 NUMVOIE NUMVOIE String 5 0 0 NOMVOIE NOMVOIE String 50 0 0 RIVOLI RIVOLI String 4 0 0 IDPARC IDPARC String 9 0 0 COM COM String 3 0 0 TRINUMV TRINUMV Double 8 19 0 VOIECLA VOIECLA String 8 0 0 IDADR IDADR String 20 0 0 IDSEG IDSEG String 10 0 0 CCOCOM CCOCOM String 3 0 0 NOMCOM NOMCOM String 15 0 0 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. DEPCOM DEPCOM String 5 0 0 SHAPE SHAPE Geometry 4 0 0 Feature geometry. Esri Coordinates defining the features. /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAr3d/Z2AiN5dwW4lfy4zLIE3tgnaM9TgHj2qhYeJdN1C/ayjlaO4Jf yUlG37QihSZI/wC+nzjDDg8+laF1Z2t7GI7u2huIwchZUDgHBHQ+xI/E15fpus3Eeu6pqQ0drrT9 FuZbGwhjmW2exXylBjMbbFZZGVNn3j830oA9XopqMXjVmRkJAJVsZX2OOKdQAUUUUAFFFFABRUcU 8M5kEUschjfZIEYHY2AcH0OCOPepKACiiigAooooAKKKKACiiigAooooAKKKKACiimu4jjZ2DEKC TtUk/gByaAHUyaVIIZJpW2xxqWZvQAZJrnrzxVE1tpiWatBPrELmxmvY/LjWULlEkUkNk54ABJwa 8c+JHiTxXZ+Dr7Q9U0LVrdftRlXVzehkf96DjCqMJ8w2qWJHy8nbQBP4w+PY1CK80bw5byQeaSke reaRsTgmQIELDjdnuAM9ennPh3xBpx0a/tdY8Q61aTzXRu5jFGLiO8AAIUqxGJdwyHbjpnpXL6Pq culXX2i3cxXCgtHKMHGFPykEEEMcAg9Rx0JqlGI3l/fOyKQeVTPOOOMjjOPp79KAPtBdUS5+Htjq MviCfbLHbs2p2dqN7kuoyI8MBuPykYOMmrJ8VwXdv4iXTgon0dWDS3JxCzhC2cqS20EEE46ggdDX gnhfxrH8M/CEpOrf2jrWoWym00+B1ktrFckq0hBwHO4sVHP97k5rhbzxlqE2i30ECm1l1a6abUpo AI1uMD5UAUAKo3MWXnJIJPagD6h+HPji28bWl/cxX4lljeMtaG38s2oKD5c5O8Flchv0rqbfU4p5 r5GingWzk8t5J4yiP8obchPDLzjPqDXy58FLu/stb1N7O6uLVZIYYfNjtjcLvaZAoZBycrv57Dca 6z4jfGaK+8P6n4WfQjFqT5t7oSyrLFGyvztKkbjwCDxg9uKAPcPEXiHTvC2h3Or6pKY7WAc7RlmJ 4CqO5Jr50+Ifxxu/EtqNM0KCSx06RFNw0oHmyNkHaCDwvAHHJ57Vx3jT4ha741S0hv38mztokCW0 bHYzhcGQ55YnnrnAP1J5zSdKvNc1a20zT4Wmu7mQRxoO59T6AdSewFAH0Z8Nfiv/AMJBq403+yNO tpru5klnmjlWDKhF+cqSTJIx9+nrgmvXLvU7WxurK2uHZZb2UxQBY2bcwUsckDA4U8nFeEfDP4Nm 31xr3W7yCZrCZ4LzTDbsyE7QyZc4Vhyr8Ajgd+nt9/oNlqOr6Zqk3mrd6a7tA8chXIddrKw7qeDj 1A98gGnRRRQAUUUUAFFFFABRRRQAUUUUAFFFJkYPt1xQAMwVSzEAAZJPavnPx38WJvEWu6jomk+I F0nRIIH23cUZZruVedoYYKqx4BHHGSSDiu9+LN9qms/Cwf2NoepzNfyKskZjdJYEBJJaMcnO3GOR zn0z8qN5QhVRHIJgx3MXG0jjAC4yD15yfoMcgHoWufGPXtf1LQ72W3s7aTSJjPH5SsfMb0JbceVA X6kn0xS8TfFPxD4uhvYdSuglrMFEVlFEvkphw2TnnI2gZ56kcA1xUohGzyWc/IN+4dG749qJIjGk TFlIkXcArZIGSOfQ8flj1oAjoHPfFFKu3PzZxg9PXHH60ASPbTxwRTvE6xS58tyOGwcHBphkcxLE XYxqSyrngE4ycepwPyFWtMSxl1K2TVJ5obHdiaSFA7qv+yCetdB4i8MaV4b19dM/tqDUkngVkuIS 0S25cgo0mVbK7CGIXnnHGOQDlY5HikEkbsjjoynBFes/Dr4aalfSaR4juLX+0dKvX+YW0qeZEVZs +Ysq7WUlMHB6NxnpW1J8KfC3hPTdB8Qa3qK3iGNWuNOhYSfb5G+75BypIyyZHOR9a99maz0jRZH8 gRWVpbljDFHkLGq/dCj2GMCgD4s8X6dFo/im6hgEaAkS/ZxIs32cuA3lFh8rFc44449cgbHwnttV vfiBYW+j3draXWTJ51xbiYKqglsAg4JGRkFTz1FdPN4s8FeJLe68LaJ4JtbK41KcW1jesUV0OAI2 ZiCQTIFyAfuseSevS/C3wVrfgfxZFPPAZDcTPp92RbysqLsMqyRuMKUJCAsRweKAPVr208Yi00u0 sdT01pNx/tC/ntyHwCCPLiB25IyDk+4xW3ZW11bvdm5vnuhLOZIlaNV8lCBhBjqAQTk881booAKK KKACiiigAooooAKKKKACiiigAqpbabZ2l7eXkFusdxeMrXEgzmQqu1c/QVbooAK+RPjPZD/hZ+uT WwVoUMPm7QAI2MS8Y98de5PrX13VKbR9MuLt7ufTrSW5ePynleFSzJkHaSRkjIBx7UAfBtFdF49t bWy8e65bWc8k8Ud5IPMkKli2fm+7x97PYVztACsQWJACgnoO1GDt3ds4pSBjI3Y46j25ptABVyW1 uZNNTUXdZIvN+zk7sspCgjd3wQSAf9kjtUU9rc28UMk0MscUwLwu6FVkGcEqT1GRjI9K9N+F+jXv jDw3rmiWdnpSzWim4gu7mAO5eRSnlnnoVBw2DsPPcYALXg34i6PdGzuPGtmL640GFF0kW1szTNjO Sx3BTtwv3h1AI75n8b/FLxD8Q428O+HNFvra2dys6RqXmmXOFVgo+QY6jJ+uBz5xok/iPQfEctlp Ms9jq0m+ykQEI+SfmTnocqPfI4qxpWr+N9U1aa70i/1271IRDzZLWWWSUxgj720klQcdeOlAHa/D z4O6j4gs7nWG1G0tp7K6MVvCQtxG8sZBIcq2Nvbgnrn0z78LKy0zw/4e0rWbxYZopbeGD7I8kKST IMqgAOSp2nhjg/lXn3wJsfF2mSavFrelS21heEXizTpsdpmxnA64I5PHGB617PgHHHTpQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUVma94g0vw1pUupaveR21tGOrHlj/AHVHVifQUAadQXk5tbKe 4AjJjjZwJJAikgdCx+6PftXH+FPiv4V8XGOG0u2tr2WYwx2lyAsrnaWyACQRgHnPseSMs+If9n+K fDs/hax1jTI9ZvSrWiS3IB3RyjcRjJyNjjjuD6GgD5e8b6tBrXinUdRsxCsV5Is0kUEeEjcLggH+ LknLDAYnOBnAyrTRr+9tXuYbcmFd3zkgbioBKrnljyOBnqK9f+FvgYL8T9a0+602WfSLG2ktZnu4 CFmbcoBwehYgsoHQAc55PNXfgwadoGu+Imv4p9MsbiWy0WKWcs8o84r5kZUjG0ktwMMcnGOoB50s Ez3C26xOZmfYI8fMWzjGPXNX7FodI1MzXtvb3clnOAbSRt0cpBOclchlyBnBGc8Zqnc2l1ayul1b zRSIRvWVCpUkZGc+o5rS1LXX1fSdG0sWFpANPjaJZo1xJNuYtl2J6ZPA7ZPrQB0PxK8Z2vizxQby ztV+xR2aW0CuW2pgZLIPl24bIHqByOcVz3h7W9W8Kanaa5psskLLIVBB+WUDG5CO4ww/P1q/aeLY o/Bt54bvdLjvIHIks53fEtpLxuKnB+UkHK8Zyeaq6hY6nDpei289rNbwuhlgmnlURyGRvvI3AVcB cgk4IYnGcAA+iBB4Q+KWj2/iHV/DyWdobaWSbU/tiRtbyKwXY5Ugnj5gWGAMcc1m6Jb2Hwa8RSHU 7U3mn6wyJba8iKDGWbmOYlsBcYfcMZwTg448K0jxTqGhXIjhLpZkot5ZxyNHHdhDnEg9+h4GRn1O fTtS8da18YJJfDOm6NbQeWZLiNXRJSUVCMEvjawJ4Ze7AHAySAevaR4nj8RfEG5i0hrq40yws/Lu LkTKLVpXYMuxcZdsA/MDgD65PaV5l4T+Hk3grwyNN02S9F/q7J9t1CMwq9liMngHO4BsrgE/fJBr C1Hxp4l8DWthPdag2r+GY7w2z6i1ti7Z1Lh4nRyueV4cf3OpzigD2qivn/wZ8ZNT8VPqui64Zbd7 qFjaXelQMZbcnC4CjJIGc5AJGD26e66Wl9HpVqmpywy3yxKJ3hBCM+OSoPOM0AW6KKKACiiigAoo ooAKKKKACiiigArzr4z+ER4n8DzT29m1xqOnAz2+yQqwXjzABg7sqPu8EkDB7H0WigD4Z8MJrjeI 7KLw+kv9rO/+j+WgLAlSMgkcDBJz269s16x4t+Ges+E/Dsvi641+SXWbK481HsrTgBscnkBMMWYk D+Ik5Jr6KEEKztOIkErABpAo3EDOMn8T+dPZVdGR1DKwwQRkEUAfPvwm8baL4Z0rUtS8Wa/Muqap N5n73zZmMaKu0nAI3HecewrkfE+sN4P8Z2+p2eqaH4ilEbXNpPFaogieQ5LyLHgGQYyMk4JzgdK+ n9W0HTta0mXTLuD/AEaRAmIiY2UAgjaVwR91enpXnnjD4E+G9fSe60kNpWpOS4MbFoXYnJ3Ienf7 uMZ6GgD5o1nWL3xFrFzq2pSrNdz4MjlAgJ24HCgDjHH0HWn6bpk93pGrXkFqbgWkKGQgrmEM4+fH JI4xkYxu5Pr6v8VPDOj+H/BdpoWkWN1HdWN6r3EnkNsuDJGAZAzMTt3bF7gEgd+fJILW6gWee1uY zFHMIt4m8vc2GYHDYOMKeoHPHtQBDbxXuqtBp9patczAu0ccEO6RvlBPQZOAufbmuqtfF2p+G9Tu 7XW9Lhvr5IBp0jXhYyQQABWjQZ2g7QRuwTk5ye9OG/8AFWkNH4zgkW0aW4a3W5iWKMtIPmZSigen ORg9OeRWvcWXjufxdpfi680a9vL2+lW6jUWzbWCvsCEY+UYCjn+Fh60AWfGPw4vfANkNRtZX1CC5 UtHdfZiFtojgZcnKh2LhQOe5HOMc74J1PUvDPi/TtXsdOmuJbfe7wlCS8YBEu36KW57de1fXs14u vQalpthPNbzJEvl34gEkQc5wULfK5Rl5HY8denDeJtL1PW/HGgeJPC7Ws1zo5uLS6a+leDzWXgoF x3zJ8yjHrwBQB3PhbxRpnjDQ4tX0p5DbyEqVlXa6MOoI/wACRU+v+H9L8T6TJpmr2iXNq/O1uCrd mU9QRk8ivNdQ8PW134WsPGHh46b4e1Ev9our6zumS3SNVcElSmJBkgFSoPJGfXA0X4m/Ea6SG5ht NG1ePzBatb27fvJG8wr5oCnKryBvI2cD15AOt8F/Dyw+Fh1XVri4bUBPIkcDRWJeeBC5XA25JzuX dgD7td34elhn0aOS31htXjMkmLxihL/O2R8gA+X7vA7V5xp/xkM/xGk0LV7JNEsrW2l+0faHEjec oDcsvyqoAb1z7EgD1Kwu7K9s0uNOngntnyVkgYMh55wRx1oAs0UUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFVn1Gzj1GHT3uolvJo2ljgLDeyqQCQPQZFWa5Xx21vZaSmrXWuXelQ2Z+Y2zIhmLEb YyzKxUFgvTj146AGpNpn2vxA091p2my2gtVjSd03T79+4qcjGzhSOfvCvCNS/Z+1B/GEyWV6qaTc iWa2uVQP9nYEFY5AWBwQSAy56cgVd8O/G9PEE+qWfi5Lay0W5tzGXgkYSRllClVCje2csc/w+taX g/402Nz4gg0VNPj0zw5Hbtb6fLOx3M8artV3Jwo25z1xlcnvQB2/g74b2Xhuwnj1O4XW7y4u1vHu buBSwlVQAQTk8HcQSeM/XOpeeJRt1+zhltdPv9NiEiSahIvlFWXKysFbITOQc4PH4VxPjb4jvpWl 6Hff21aaZc3Fn9uFjDGbozuQAilwAvlctk8E7flNeSePvidq3xDnj0zTrR4LB/KUwImZJ5BnG4j+ EMThc479aAPqEaNYTeH30uKNLe0niZWFifJHz8sUK9Mkk/jWTJ4K06wRL3RLG0XWbWNks7m/aSby 9zMzZJbdzvfnOeao+C7G6ubLQbq7mhvI9O0820d2pmikMwbZIDGwAZcIAGYZJGcDPHb0AY17BYaO L7VWsrm5kulihnjgR5i6g7FxHkgAbznA6Z61X0LwbpHh7VtU1Ozt4/tF/O0xfyUDRhgNyKwG4qWG 7BPeuhooA8s0vwzo8XxJ/wCEpfSNRWHXbcxxpcxsRHOwbzRJFtJUFEzljt+Y4GPu9j4b8EaJ4SvL +40aGW3W9KtJb+cxiUjPKqeBnP8AhgV0VFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV5d 8foLmb4ZubebYiXcJljAJMqkkBf++ip/CvUaa6JIhR1VlPUMMigD4GSaRLeSJZGVJCu5B0bGcZ+l bfhfW5vDmrQ6xFGLmS0jk8mNmO2OR1ZQSPbJbAznA98e6eLv2edO1K6lvPDd8unPIdxtJlLQ5P8A dI5Ue2D7YrGj+BGoR+C1szbW0mtnVQ0kxu2WNrYAgHAHPUnoGGT9KAMK38ay+KdO0fTtbsNJ1b7D GsaWbW1zLeXIztcqyAbG2jPJxkAnpxn6X4mHw8+JV3JYeF0hnMYtk02S7Eht3cIf9bgknPGD0yRn rXS2fgnxN4XszPqVu9raQukWpaxHch7mKLBO+2J5SNVbDY+Ylmx0wPRvCXwj0TRZ9P1K7n/tO7tY wYJCuyMSF2fztuTlyCoySfuj2wAd1pFxf3WkWs+qWS2V88YM1ssokEbem4cH/PXrV2iigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAAgEEEZBooooAKKKKACiiigAo oooAKKKKACiiigAooooA/9k=