Package: afni Version: 16.2.07~dfsg.1-4~nd16.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 47699 Depends: neurodebian-popularity-contest, afni-common (= 16.2.07~dfsg.1-4~nd16.04+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.23), libexpat1 (>= 2.0.1), libf2c2, libgiftiio0, libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libglw1-mesa | libglw1, libgomp1 (>= 4.9), libgsl2, libgts-0.7-5 (>= 0.7.6), libice6 (>= 1:1.0.0), libnetcdf11 (>= 3.6.1), libnifti2, libsm6, libvolpack1 (>= 1.0b3), libx11-6, libxext6, libxm4 (>= 2.3.4), libxmhtml1.1 (>= 1.1.9), libxmu6, libxt6, zlib1g (>= 1:1.1.4) Recommends: nifti-bin, bzip2, ffmpeg, netpbm, qhull-bin Suggests: r-base Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni_16.2.07~dfsg.1-4~nd16.04+1_i386.deb Size: 11479952 SHA256: 26ac1a1f3fba75f0e9ee00bb2716f1938a98c80de2c4a36855601c8e4506640c SHA1: fb787a3913b0c41e6b3191cf9367957848bb7760 MD5sum: 90fdab736f1f3564810bab9f53bc24a2 Description: toolkit for analyzing and visualizing functional MRI data AFNI is an environment for processing and displaying functional MRI data. It provides a complete analysis toolchain, including 3D cortical surface models, and mapping of volumetric data (SUMA). . In addition to its own format, AFNI understands the NIfTI format and is therefore integrates easily with FSL and FreeSurfer. Package: afni-common Source: afni Version: 16.2.07~dfsg.1-2~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14914 Depends: neurodebian-popularity-contest, python, tcsh Recommends: python-mdp, python-nibabel, afni-atlases Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-common_16.2.07~dfsg.1-2~nd16.04+1_all.deb Size: 9361928 SHA256: 38a6c987819a560c64b6bc376a1e7dda55e57eb85c5f5a1b5750e7e706ec9966 SHA1: 6e674aaf0b0618149a63c541886f8d9ad89a9be6 MD5sum: a6e4acf177d3a6924599f4782aa6b69c Description: miscellaneous scripts and data files for AFNI AFNI is an environment for processing and displaying functional MRI data. It provides a complete analysis toolchain, including 3D cortical surface models, and mapping of volumetric data (SUMA). . This package provides the required architecture independent parts of AFNI. Package: afni-dbg Source: afni Version: 16.2.07~dfsg.1-4~nd16.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 33631 Depends: neurodebian-popularity-contest, afni (= 16.2.07~dfsg.1-4~nd16.04+1) Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/debug Filename: pool/contrib/a/afni/afni-dbg_16.2.07~dfsg.1-4~nd16.04+1_i386.deb Size: 30699480 SHA256: 0276617828b9fc5bddcd90e7e5a386ed191c3af60b33e4698ff3b18645a8cff4 SHA1: 52990c4fd15c204d2bc82954eb35687260d070bd MD5sum: 655a6a1dfb2f53c76d93116fa580118f Description: debug symbols for AFNI AFNI is an environment for processing and displaying functional MRI data. It provides a complete analysis toolchain, including 3D cortical surface models, and mapping of volumetric data (SUMA). . This package provides debug symbols which could be useful to troubleshoot and report problems with AFNI. Build-Ids: 00efa4b0796fc9cb480dde425e8033b57f6c5e78 01260dc9f3ae2d309eac1202a5528fd3dee9dea0 0171b80a10e32c2d4156da51e06ee2384c1f16e7 022776975c673531c7412315ddcbfc40474880f6 0336f23c0c16ca20b8557f597af7f342a8feeda5 03cbf3c8647be092f3809eb1571099beb47ae083 045b6133f3c2b644fc8fdceccb910f33a171544e 046e6c0a921b1475c883f67d98e1597df9d5577f 05baad79adfd13290f7d07c2ea1646104b7bd14c 05bae7062e800524388d877fbcfa699586ca01d0 065621c617986e815112e030d84b0872dcf350b8 07f22a476a3a471b998cfda40d6b2bba96fb49a9 091be5920b6dfe4a4535bf48ce44480609ccdd24 094663f1fc640e1012e87165a7091573d6dad696 097ecba9a82753209e0597d55d1bbc39017d5b9d 0b673aa12294cc7e155281212de6a887ebd50ed1 0bffb367d7fb6628c4f3a36a6ff0ae79310af1d4 0c291470bb1e156d7f714917204c22bfc2e8824e 0c964c89be21d7a6a07d7c3c37bb0663c5dd5f31 0f3b40fb860015d81b95ee82228c2685db6df581 0fec8201b12c181d847985240673913f37520564 107e5f2fb5f17a223ac0f6f86fddb4a2cf866cdd 11f29c23aa1892a08ead5e1b0270a53af183e176 12619657520ea3fe4841540e5eb54acae33f9ca6 1313b55f920f12c9ddf13a1ae572436c9213dc45 13448a1d53c7ad32d6ca6fc97b1c5643c8cf8488 1390dac414e575daba3c14b72cb88a895780303e 141c566b10d4e59b2b02d00a7b527c94b9a509c1 14390c1c9770392d03aacf7ec15eadabf4f8baf2 14cad7da166efc5ff6a6a08a151e33632f3fef49 14d3a0e30802345d9512ce5f8f67f60d368deb22 14fa233721ed31dd92738adc99fcf4ffb195ce36 152c626e9a877f38ed3b4ea48db846cab3a14f0f 15f232a365411fdbfaae726205a2f552ca360781 1a28cf12def4b87021c1b49aced97aa6b2bcb533 1aa8072b6299b8b7a165295154413f7d48c6beb5 1b965e5cbc0df694d032fc0d5881cc684be42069 1c6e6b112b928761a22bf0cc0413628f578ceaf9 1cc1d7a7424408ce727934ce9adb118cd069e0a4 1db2a6eae5fc1ec2e533bfe5ba20d1a266f7519e 1e6343690024e0152605900d5481bedb0ab677fa 1f16375280f90cba4410661f482e14fd40fd6b29 1ffb37cb27c49c35a497dab3d38b066e22b08477 201ad2bf9ccd96dee8563f36d83b3b46999ffd9a 204862ad6e387a127a956c61c37f28541a2bf568 20ab124f1bcf8625d23cf8d87fcab2ae61aa7a15 20e48a96b8c1df0c3e02c3f840957ba8bf905d46 20ff4e17177838dc66585e9fbb4d67ce93e9e429 2111c494e3c5cb55d9c46612b1242316c2fce918 2123b90f172360bb9a3e37166b3b9dfab254f24e 223f64f72ab32d05c1310ce2034953b6ac6cb9d2 22fffa7d232f22965c1777455365dc493243ed2a 2366f1e0aa79f476aa00700846075d3448e688cc 24d708452d0bfd55d544315d4c6dadffa7fd2929 25160bcfe5a6e05f7a20406a78e3664bf18087fb 254e3426454123a8064240ed28becb6056e20dfb 255ed31175acbc812aaf254b73ef113836a99993 25d82479bacb2858e247b44f23a6e51e992aac2f 26dc4e27c2cbec28aa99fbb142b6f71d619a389e 27153519e2f2f8692ed8784ec78bac272c148c11 271c69857993fc50f29a86a944eabeca8ba6ef4d 2757cc774274cbd6814bae98e392f0fd7d25ee9d 2764e38f10b77e9bfc79dcdb9960ec166f071b09 27b4b66430a7564922818fb5a0787676d099e810 281336efc0fa033cb9ada19fe815b41fa59569bc 285303f188f1ecacf71dbcd01ac8cce54fd769ad 28f2a500f436bc5e55f674d9ad4430db9febb485 2b1d3021432fe3a5a84dabcd2653e59fe97ae053 2b3ce81679b985f0707cd059133519775c0068e7 2b5a2556ba4f2abbb304b4760e4cc7a73c78fafa 2c6b25054c9738ae271aecedcb496d00f6ae3db0 2c99b1d8eca8824745090b1c26ee1e9271599555 2d180761f8ce95c0b3c4f1cce518c95623bf8a48 2d35abf0f872375573dc67a80d43dd2e4baca948 2de2bf6893bae5f7c44cbd13b6a2f0a53b3acfaa 2df5b64ae7db5158fe0e30a2adabc45ff16746f0 2e738cc7257c480b0bd6d192229ec1ecd239c4c7 2e98cde2bcc2b645baa97e49082e654d3234dd89 2eca5c0a088f5762b46d0f401787ff3946352a99 2f60ef1c7d0cdcd90549581b56d50591c88bc60a 3054ad5576b068850e667c6fc8ed5ce76f32b042 3214f70eee41cdcd53e8bd75ee9e2965b5edef55 3234c302d266b842a47afdccbd308e40c25f89ba 3269d6e8069d69c1b30897ce67ec24c8dd400d5e 32f2eac714a84a0cb3e2a342c75468276f366616 33477db90c052903a42a5c3f52e40ce1a93881f7 334e19b7ece680622374052fe485ba95ea1a1fd4 336feb32e33e314d7df8b26fba88dcbb37988002 33762eb5b1f0cda3f836cac8ce810d8f30915538 3405893f57f0759876c890481496c483f02a518f 3463992b719c8391b3f4cbe2140b796dc24999b7 34734d7c9fd796803675cda5a7fc84b912011fbd 34734d7c9fd796803675cda5a7fc84b912011fbd 3512cffb415a34799cad0f9280bc3e4e4f968c70 35169581a90af7f899cff3023bec67a0a6613a32 360219aa894ad89d743a2d8007c2f07801d561b3 3734cfc9eba11fa3e72da158827b72dc78dc41d8 38140e0e05230131f18464a7d3f952e78234398b 383874ba9fdad098d19e4e9fdbe3d09e3c9e972a 38bcc0c7c833a46bb6cec72b9f5f486e3eb1e376 38f96e1f31e8eac717acb0f9b5b82eeaa258320b 3964875421e4f79c8b529587deab80203b7f2aea 3979df8fa5a56696da20cd93af592bab1f4cf7fa 39ca16aa3fea0e0c3244bda8d92c955aa02e5853 3a2c7a44c6a3eead0f12ece3a3717a4dc3775f0c 3a8580f5b0b563851f74ccb50739dd05dff3a2cf 3aece4364dd30454d4316da1aa9bc7b6223afeae 3b3cee965c62f0bca033cef2e8617c6a5bc8b144 3bb0c817fce5a85494990af7c4f29a3ffd8905de 3c312e0184758e183963d29b57af11eba0b13d0c 3c69af6e557f31de40e7f6cbf6a660d03129a64c 3daa79c56cffe60b30bec461ac404b8a2f537347 3db86b1b121aa2c94c187e0a16cc435c921e9203 3df78faa48c8e2020d9e588ab7c2cbbf94f1ac64 3f0e40f51d73d301871c17462dd90c8c433746a4 3f7f95f7ac741bdefd5e30aa3914c7cb66dd2a18 402f42fb0194550dc8fe37b17ac838101f60c8ce 414e1abc3d29302b53ef68f5245e43ba2f51ee03 4162e503497941b08032ce42f822de485d7b05d3 434ce05b7cbefa29224738af5871b8d7d8a6b6c5 43570d03f7475ade2ccc6459188f29082576f40e 445389cd150fc1e46f83bc8e831ab756c919f731 4479fce991aba6be0a3a52bd168be96ff7fc6384 4483cc153ec542b969de23b7eafedf1404e5e782 44a0c5cb1f13270f3ebbb7c00925b63076eafc84 44ec1e19f39e55c61947c7e1a21627c301be49dc 45831349e4751c0db1061bbc6c9da63d22052a21 45b7e4aa4bca9376bee6d35f93cb2f5e2014807f 4a5dfcc6fa57d0cefbcd97d3eb2577b0e4214369 4a989dea9a2ed9440771c7ef644d143401e6c1cf 4b37c894de40aeb413da2fde4841e138cb5e0b4e 4b93845fd988bca3ddb2fbd479d791b889f56cf8 4c091531714ab07c772e35dfcd54aee6302610ad 4c8486c803fe447f7a22995fbbde737b543d7079 4cad0a6ee0a7acea43d95bac46698cbef974ee88 4d173152c43ac9c5302488be8a06bbd5e6182037 4ed156ccad19d67126deeb92a22466540744925f 50df55a1ac1e72ecb5fdcf224d348894ef8d9084 515d3858d6a9767766d48202517bea8ca4d4890a 51d8b9c7bf28d5fcf48427adbe17ef8f629b57fc 51dc0e21b1fe2094e272c94ac93a9ea1985cb404 525b98b04daebf1d286dfcedc22b693ea90a10e0 5260de07324385a81d33970283ecf1b4826fe9fe 5271673ab3a075d9278f0c4fa60b2d0405c0ca90 52a9597a2823d23008fdfc90d3271f115f62cca1 52f4c0552763bf0e196a0f038027333a467e91cb 53ed4edd5ad685318a2316b05ac7649c502e76ec 545fc9235c2bfde4832f21d4e039de2ec6dda746 54af4087e6042fb5643557e636618d194e6fa048 5547f18bded1b07717fed1d487196dd2b43ecc78 55af2bd796f3471afade25bfc0a7642bd46f9b23 55cb8042c62b8a21bea95d3615f857b641a39edf 564b6a79de6444baa6c88de4de6d72fee7949761 56a6a64fd1ef3c5a54d4ed76e5dc1a381c0dfd3c 56d5cf6ffd054b850f32a6c2e85cc4cecbb46e22 5731027f0ed8770d4907b6a8879a845a692bc09f 57c2a0ede6fca0caa85ea972c89e2c42e1324ef5 581683ff1c08b0074b4880014062ce0b3921d85b 5849705ab8e8ce98b33f5b8bd3fd53489064167d 5866bbb9f2141a52de776cca5d5011134674c323 58ef76ef49d7227627da5ecd88cd820b9c913166 5ac1ffcf59cddb138fc5d88f1d01f2cda72c7d2a 5b8e38b4a529eed714c44f81fcbd5ef61e7490fe 5bdd6d74dcd9171cbf6de183d4f5d1c057ca3228 5c26c80c6caf52e8591ee2d613b75701832e813a 5ca1bb25e0176a43a846d7e63b7af60693077a4e 5d400db002fd536697bb393cea89be49990ac778 5d9db5adba6e9954e54fe1e77b601d4af109b873 5dda15dd063d4555b49b31c183cc21037cf3d315 5df44b3f6a32d6514641154bd80fae23bf5eca13 5e3c01eb14dc5234a3f2dd528a7906bb6705885c 5e8294ae4d82bc2566640ae2669c0b597f3f9fdb 5e82e5e45f71b80a574bb0e07807bb0085319a24 60496e0082f0e9201f8be98cb9370c5759f32a2f 6111090304a00ce4b0450838a9cdfe97584c5b41 611fbac222a4ebdc12c9d91b4abc21a87383793c 6127181534561efbb6523723ba6c96509d786dd4 616ccbf25ed43dfe669f00887fc7b8ffe43ef2c8 61800f38be899953db245ebebdf676a1a0c994b9 63423f3923e3a60e7365a7c8c488394315f2a49a 6377b495884b27f19e4f491def3d6d8921e05bf6 63c5cf0d1223495ffaac0bf37338a2307bc1e1e6 64a960dc9464769989df74d75e874c2ab788128c 6522cff73a8ab77b451f47f20bb5e10ddee731fa 656d520cab3b5842c18ac5c90ebd8a745b53c0ad 65e4863fea658a832bb06c5a07a3eafdc02627fd 6620374ac6544c1d38cc56126ff12f13ad179e74 6628ebcc33d7b60456e80c013955e1bbc404ed37 66e6a708a9bc6f2f5eca5083fa1c03784a7afbe0 66fa45027098099f2120cc185f83b616022ee6a4 67207a19328150a64774408a832ca00fd77b6621 6816cff321a4be86ca1741f0e9dde0f44b273fdb 6928f5da9a54323f1ce2b0950d8c0ed5101b8c97 6a71a33fcc9a414475c64100b72eeee9599197b0 6ab05554492a33e4a3cada38b7e3d28f2882ce46 6ac768dcde4abe5199216182b5afdc5949607453 6ad939b4df93f22a1f3882fde18f80a0b58243a9 6b495cfa3d81f69411c382a1c6426ce054eae3fc 6c4579a70fe358ca1bf9e5ac723b00ccb2834c18 6c6a0dcc433603688137863f230ec94545fab595 6c78d7782d0a297e53c3a4ac405d20edfe700ee6 6da187e39a963b93a9f12abcba7c4fba452cc163 6e3fa1300acfadc5d5cc54a82c1153e24d09a463 6eebeea74ef456792bed0fafeb8ed7980b12dd28 6fdc2dcd84ab8257b7a7d93a4e0e12eed46499e4 70232a4b396d4817dd8d1458b8b1327f8ad449cd 71810e40fd94d0386981dbe4099f52982e855568 72de5c6262f4b08defbb8e1c10e8a8f39435714a 72fe3b5565b3b9bf4103610dc31611efb1d69d8b 731e7fe27a61602abbb002b88f549c6c6d3ac977 734ae2dd74b6af9700ea74e4c5e5aeded1c0cbe1 74324e292d44462c3ed3de5b78901497ed2c3957 749529ba735e3a18e97a1dd6f0b6b4e5a04cecb4 75985dd2c2a71bdff7a389912ca6894f5bd5684c 75e57aa2afc7e9a816e0fc7428782418de82d078 76680be2d32241c009811322263c53956c5cdb19 7672d6cf0cf19d084f5b67bde540d4f3460a235f 768a7b7e31148f9c7bc53058aa2d29fb5f106c6e 76e55a531a3a204358eae0e385b444da4afd7f26 779daa15a5a7bc6571ad2ce379c5a451e1310e8e 77b43352e464e5f18e48ca16efb53934bdd64312 77b94ca39b831c74d4852ab2549a8c7984cae0e3 77f2c15b11c82b2ace0d0547dd7149f55c7c1cfc 77f56cd3628a9cbcf5a178fb855f3fbdb2eeba49 78443156a598c3f642cb6b3e97fae49920486296 795aa69dbd3592a23366ff125bd35211cfa42290 79d1f1998513249cb7c692a270d9a2059132d3fb 7a2045d413923232df1834e5b98b55dfd9cca169 7a545daaa9ba53f3c75ecdc994ba5c7b04594227 7ae79091a9e173e9e4f460cf4e7274f8407364d0 7b16f3c8190217716704f062c70312d70281003c 7bd153e16df554a9bb1a621b0cb13b7a48987906 7c8155c51d8a729e95692a7df7bc5bfa34aaf4c2 7cc726e64bb30c708e199bb732b12ae694a4020f 7d291c5f93608f813c77d640cf98d1c191c3be68 7e579ba21e3737f56eee04d91f040542865e29b3 804b3a433dade1185094531758dd66c3bfa18f01 805d159ba393d4219745527010d90e84ebcb7c37 806201d7a8e359c0934acfd94ff2905d51864e2f 80af67f98cd94df9723baba3294ac97ce02eb2da 82a0bd91505dca772c571b308487f16c04bde387 82b40c2110ded8f34c6bff87a62db53f7ed20f32 82bfcd41026cc9a39c9707799caffd2d019e755e 82c614ea49a4b19e29c9b222353009aba291c746 83f9c8b313778b92056644b518c0cb7433ea568f 85d40be8c5bf4f7514969dd8a7ca9f6700990bdc 86ba437fd47d12f394f15428b44b912597300619 87b3baa0dbb03931aee4b8a9992f5a752b620e1e 87ba178193993d55325a0c57f4c71bbaed243595 87bf0811f6cba185722df2a4aaf9651a827d00dc 87d121ac8ebcc0bdd1a63867974465c88508d313 88c3cecdb4b7c4c1a2e841157a4c31132644518f 896e9bb08575d6cc5cd982563412dce518de0edf 898b82f0e2137edb18dcbbab4e6d23c93f4cb1d7 8a14bd5c28db9fa3afec51e62e03c76adfffdc18 8a3f09da32d6aa84ac9900c3966d82b25a50d87c 8aabba28e39f9c60fd9a840abc9e43ec989695bf 8ab773de24787f15f3a333c96499d26646beca77 8c804de66840074c826eab80ea08e119ed18cfd0 8c8c19583a905bef1701c34fb7bd77e98e3bb48f 8c9bfa8da79483b48d83475755907930b2a5fafa 8d0447c7575c50961016645e11fead7c248fea8e 8db9bd721d2efafb2db9e95fb3c659838e1de6d4 8e3b7501c5949d5ec47da2c212932be10907c208 8ee3185cfb7f34ab8709ab563b4558855be91628 8ef2905deb7738b8eab00226264197acd83c325c 8fc8d695cc9779e7f5d5a82a1691accf725f5e7f 919b9c75ffd28cf511bd1abd02e80f2de54414d2 91b09e7d42a7cdde27a4cc2b6afc6c596b5c3b15 93227316d6ee80d5b789089f66bb7f593e92fdcc 94b8c5b68913f77c5ebb6c4ec97639f2d3cedad8 94e3afc104b83790f17b4c1021d50f76eeb244e2 94e7c8b48f61654338a57c5857ef5e5216d05254 962ab3752a4498508931bec453a7e6969f2ffea9 963884fc326351844a2b6581ba8c2520277d0fcd 964124d14573abc5d72c661bd8dade1ad98739e0 96416a99c68418264d1edbb25d5b6ec0fc2c3651 9704d0e81b8ebaa3afcec6efcd893c1768631da1 975494b551cc3293b99efc92ab248da14d2c4e7d 97ad1a32d562dc49ea60a9ad95f0cae210228a7d 97b34460fdd4cc91c45ca9b45a07520b3037d552 98255344347e33c7d3deb60a21264c5fb958399d 9826b745ca4c18242183bf51557f2c014132186c 985ff8c0a09d7483e35baffe9b94aa95fa52bf5f 98ab1e504cda01b63e5126f2c1b8ceea9a90f46e 99e3936a2a0b3f4e4f27da482a6e5478064fc92c 9b2750931bc5f30c1c7d3631866b2026130448a8 9bb9517397e77e86a2b654a4a46379071f60f8de 9cd81e4b5c9f969b300b3a40a3f3f8899ace2bfd 9d47247320928c855507de09ce4cdc7a895b4cb2 9d92e068476fe966acbf9c17649350cc2cf02076 9d9995c9979e6ba4c7d06adafd1e1f72f808c3d1 9e6bb92f9f8c372b562e030448c429677c89363c 9eb9506ecea07a0d4e21119fcfc723103975e505 9eef094080d206621f6b23cd2b3686eac1bd90a3 9ef0bb3ab2e738d3aa571d86e3c320086cba3b0b a0032598a44117cb56f255fec68d167eac6faacf a085a3e7fc56506f41a91237a4ec5cfcef45683d a1746aa046f0b676cea622298e724314078aa3e1 a1dca6c6af4a36fb815395b023d516e0aaf2832d a2048a40ed59b73b844ef23352ad91f10ad75406 a24b8e92cf9df978fc07c980c918a3677402d082 a2cf087fd80e809dac0f73cf416c9537e3e41079 a4347db437420f1785e00bcbc72e22f0e77b180e a59fea53592fb161578ff302fcdfd141908f6429 a6b1731ee256c524ae8e69243adbcc4c1f6e9fba a7645261034bd37e419362679943609d5e3a6d66 a86f2c8504035366b89354dacbf5709fb3f65f23 a8728adaf817129870a13ea73ce80ecf10c04003 a8e1f73feead09df93a6dc1445d357e6830397ba a9051e3815124d65260a093844dd255e92107b17 aa4ab122a02106f1d9a7b5458647ae248e4c555f aa72f38daed724588beb4ea955ccc08775d2d4ac abf6764764891fe07fecbcf03763b554c19ba0d2 ac682be691fde41e8317a69859dc8771253f304a ac9fd1f4b5403224a6efb4a81b7c965b35184a48 acdcd97741154f056d39e85ccbdad7a810c25021 ace3ca4a5cc25fbf27e51c657a3e31ffcd11d250 ae9d0a658f9e20fa223f64d0df50a20742691757 af0102d9e245c35f12171867e5383b505fcf5c07 afee186930b89e9c1d7cc4e4c7dd3dcdc6c972fc b03d159e642ee8faf561e777f230b102b61a84d7 b09b1e356284c6b03d3d4e00a2f1229010b4fae6 b29711cfc4dd27603139a66cc992fdee3ef1bab9 b2c34e86462e3327ffdd8746bb92d2f64196b07f b33590dd51b66fcdddd10788aa8993caa32047a9 b359d90469209047938fab0f9881837787051d69 b35fac6306dc0fa9c745f0ad068319317190208e b384b792a00a810ab554aefa86e0ab502e349221 b5360df032755fa81b72c8fba21e3949956ebe94 b71f40e465dc6c248dc5ecd4da27daacb942c2ff b97eadfcff20a0c42c21339e4bf5532fcd3a8697 ba0a57ff61492e7cf07d6bc038581cb0f2180153 ba192e44c5f8e9d5b95355aee70ebb343ad8a5d5 bb378e3fd51e0314b67a65095cfaa75b3d401c4f bbcc59aa0353cb58ee54a2c4314399aa28878a4e bc9737be360681c473bbbc4910e964083a3b95e4 bd190b85785a36aef791012cf91e816c3825bfb7 bd7450c4ec15df6c5d9d8e2c899664a4cdd8f336 bd7a5af872463bdad5c3d9867f36c87b96b1b7b5 bd80b31c4cf5ec47217ba4a6c058c8207a49cd32 bddc0183b6d2f738b4f7a06a45440151d5496e5e bebd5560a3c68cddcc0140c8dd2689b2bcf0d64b bf03deb74627b1222d4b5dc0741e9e45f925071b bf13dac17846fb081cceb8b9a4293e5f2be1b8e9 c091c26263e6eb33def5678be583a77d98398035 c0fe98a7d74b6a85d863180dae301cc2becfb08a c1e0c4729b707d2f0cf3e38a136365c82a221681 c2d757c9475d695c10cba6a50d892859246c4afd c407f47a14fcddcca87cb5982276aa25cca9a5c9 c454f3fe5b00b6f81d2ff01082c031c980a14a48 c49a89d6cc3cceb36ba0bff406097b210ffc873e c51f55057c7098337681d34849f30b73b5b6939c c5bb89ce53b29a04d58026268ad544ba6cfa3de0 c611d025b03c730c7b0f082a421da3258267f21b c66187d7a0543f5231460bd3ebdbf22846f8c48b c697dc930db3f6a303a444071ca089f21046f109 c7c7e9e75265eba9a4c98bc8ac3ca7730467e191 c7cffa422b8f85b9d683d4533c73d2117f3b096c c843b4e7266090e900a93c32ff805947c49da69f c883529560ff77dd4250acdd2699d54b8def2bed c8b238dcf55aded356339d9901d69a0882776828 c8cda7d8f556d7860b7d1d96ca16e8a9a10c6643 c8e4d6e61f95f1ad73fe0123c1f74bb581bb222b c9d907e893947f5fd80e19cc517be8bc05268291 c9eaf1e23cb8c939deeda9653bedaa6bd3d2d6d3 ca3eab0f0b7282601dddc77712c28959126e173b cb8948a5a6d239bad9e9aba5fa70f4cf3acc0126 cbbf80f9bdd21acfeb4edf37cdaf7a881586b6ab cc2e8d8ba469da1662677acf0b6981c78b2fe41c cca8392a74b3184cc2fd0373010735b3556b051e cd46d6df88cf6b1db7e41b886dc0a881c062d7d3 cdb76586f12195f5773284ca6304180531f0de26 ce3450d96af918d39f1a63fd174ef7c899a9378d cef4fa3ed4c31cae02df93da89d68ede5986950e cefc87050605135c5315847f626ea9d052cfb0dd cefda31bee30727d2cca5c4030136c35b63c8aa1 cf3b70f5ffeef1b20c38c4924e47d70fdf56431e d1498f3fd18e2b3dbde9107f511da765d4589b57 d1a1f33e63e510c65c44ce6980439922a0e846bd d2087506de205d69f7e0868995a2f862e33107fe d2277790d2b6200f50ba0a691777d0d0ee0be6b2 d231b6d51d8b39fafe48d9581b1c3f16dea9e546 d2b0e78a6f99a7cffa71d27a9c2d4667a3036e2a d30565b507af98ca5276cbb007ef9c5cf526975c d32cd5c7f7a39bad88a4cb6f2d2f893666bce005 d384dd165c9764ba5a8dadc91a53de98a0e1e3d7 d38a89ef59cb86254ed735402ae49318c0461dfb d3a81d89066015b1e4151865e3a097ece130aa3c d43715e0e7e6bbd5d393ec85108571fbb15a1c88 d463a9e962d31e1b51efd2e1b80b09730730d2b4 d4691ff634ba3a469dc6a876335b6efd158a99b6 d493efb090b9604c90e7624e0d92fd7b42e52d35 d4f8a6c4c44d6d10085603eabb4556c05ff03ba3 d5573091d688b64c0a0c620222bea4b10d0d3cfc d58dbb32f18696c8c080071bdf074ae80e2a1249 d82304ad099ec2f05186fe3ed545f8e351492173 d84eafb8bf606805466b596b48a442c682168d0f d89b1ff6269cbc738f6d4aa8739046a050d4d131 d8d0d85c540c67a2fa95cf6020ff6618aaab95a1 da34ac27e248ea4c3456be333860a56d6d9a5de3 daca849031763ed50aea671d99bda3d492a56ec8 db01b75e49db4d3ca4a37cb07f024e12c590cb60 db5869161ddcd879f9a4443875d089aa62a1391d dc350a68af4d5189da00756916cf11c6ea196fdf dd14f39cb2dca97c9e3406ac9d411973054ff6be dd22b26b0612794eeaef587058bdcdb700807192 de3e20492ee7464d10f980e6da5e92b4852e2788 de42ff7b6d9e64058f2b6cd628a469863b02cdb2 dfb3f487a4165b342eecf850f5b1aee8c973960e e18ada8602d79c574d242d351236b040808d74b6 e38a157241cb484c2f3a25bdf24cad1c07978b50 e449c7531bb3747cdc4461dfad849303e02e20d0 e46b94c531c82d210d69e3bbee9c6439b6d5a07a e471d2365281a00f8fa8182862962c050b5f8615 e5813310b1ebf33d6e2c44fee34898a6c2c01fef e66f5ec3971e8c6e3682b2fbf3f8729008eea510 e6a6a78a0f804d9010d4aea1dbc7bb09b8e06989 e6edf4628d4bec002016d629cb505c211b6c3577 e893ac021345965d733df842f7ddfacb6eb10071 e961073a25425d169984bd35975a4bdf4c57e6f3 ea71fc5757bfbb83df4cea78f461742d52155432 eb06d791b27d7d59f1bcf5fda33c3bee1c74c154 eb780f13717fcbe22cb7776b5b5545fcc0a20e98 ebddc9a26527388fe222e660adaf454470135004 ebed86bf9ca8380fe107be1a83d40577ecd326ba ed05c2f71d7452be48d7831cf500c5aeab0ca2bd ed187c6cbd3c33cb3db51efa9e1e9c9a77eb4401 ed2aeea330705cc86bbb53770221f27d60781791 ed3e17460587389dc7abf410f6121f686c70dfcc ed3f820d40707f8cf1abb460cbc75c4705d0110b ed78090ad657b3b57dc67434599f34f1fdeb1b83 f0151832d0c44730ee65a5e9b411575a37f51934 f04a4d7bfc9f19521beff6573c521d5b8c5adf6f f1af56e2c8a6ec79f03129826ddabc4d48da35c2 f22cb84524d4782ab08c505434bf6a96d5282f51 f34dc4ed6c0069c135d61e0a9fb65f38c286da7d f34dc4ed6c0069c135d61e0a9fb65f38c286da7d f3f7257d53c9fe9f6c089604e6b31e48ac4dbf14 f49a48c9946736c5f0621155b8e1fbd64c02eeec f4d190564c0f432d1c9e2702fde967af2099c9b1 f51be47d4792359f503915062745d77875962f84 f521974502824fef9e2e6bd0ca30ae450af648e2 f54f144d7c48b13be0ff9482eb1aad1eefe9dcdc f57181bee69f342afd824bdf882030f456bd9502 f66da8a0e34850c47671e0a295f0b5f93a9ab8a9 f6f8fa70be4022c607e22dacf0fa0e4318aacc11 f6fd284f7665a1dd669ca1cdf29d40586eafa396 f74483adfdc31f423d1848c3f32cdbc41a8fb007 f7458ae696f7e4f7a8ed7b08d7da9982e1e789f8 f75f8b89e9b23347e2047ab3e614fb81f170a72a f899b5898af11079f19c7407f4492a13b7d358e1 f93591e1f5b5b41d4f89067693f41e97e702551f fad4839327d912b7b51a9a6674ae6e5d4f0cca3b fb750314ba19052f81b90157439c78807829632d fb76433a6895ba46650fe585d85638859d62ce47 fde86cd8e8610171673c418e147c825ff3d71341 fe034bbd93edba1b02c13741913b4199a107e194 ff0dfad3b59a0a9bb4a46c42d293752e4b458ff6 Package: afni-dev Source: afni Version: 16.2.07~dfsg.1-4~nd16.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 17842 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_16.2.07~dfsg.1-4~nd16.04+1_i386.deb Size: 4046428 SHA256: 059fcd501e5b2bd78371cbe2eb5bec253ff91583a2f285875b5986ad04b5fd9a SHA1: 928b338ccc32e9545bdef759a6932ab363c3b1f9 MD5sum: 8bd2f1e9e2e5ff3e6f147981666247d3 Description: header and static libraries for AFNI plugin development AFNI is an environment for processing and displaying functional MRI data. It provides a complete analysis toolchain, including 3D cortical surface models, and mapping of volumetric data (SUMA). . This package provides the necessary libraries and header files for AFNI plugin development. Package: fsl-5.0-complete Source: fslmeta Version: 5.0.7-1~nd+1+nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 12 Depends: fsl-5.0-core (>= 5.0.7-1~nd+1+nd16.04+1~), fsl-atlases (>= 5.0~), fslview, fsl-possum-data (>= 5.0~), fsl-first-data (>= 5.0~) Recommends: fsl-5.0-wiki (>= 5.0.7-1~nd+1+nd16.04+1~), fsl-5.0-gpu (>= 5.0.7-1~nd+1+nd16.04+1~) Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: contrib/science Filename: pool/contrib/f/fslmeta/fsl-5.0-complete_5.0.7-1~nd+1+nd16.04+1_all.deb Size: 4028 SHA256: 3bae4a9f334d79ba6a81d4e67fcefca179e6305719689d1c58fc810f135bbbfb SHA1: b16de5bb9e96780a7baad716faf98c4b7c292c70 MD5sum: facb33ac7bdb95aad2f9bce2b6ac307b Description: metapackage for the entire FSL suite (tools and data) FSL is a comprehensive library of image analysis and statistical tools for fMRI, MRI and DTI brain imaging data. The suite consists of various command line tools, as well as simple GUIs for its core analysis pipelines. Among others, FSL offers implementations of standard GLM analysis, white matter tractography, tissue segmentation, affine and non-linear co-registration, and independent component analysis. . Installing this meta package yields a complete FSL 5.0 installation, including all tools and data packages. Package: fsl-complete Source: fslmeta Version: 5.0.7-1~nd+1+nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 12 Depends: fsl-5.0-complete, fsl-core Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: contrib/science Filename: pool/contrib/f/fslmeta/fsl-complete_5.0.7-1~nd+1+nd16.04+1_all.deb Size: 3982 SHA256: 070ba5075d52172423c5a71811c8c5f78238e7dd0eede291a2489cc4f4ffab29 SHA1: 0a4cb2c72af48f00362c28b5423fe2bdaefa974f MD5sum: b6b2f713c95b08521667e4590e9ac720 Description: metapackage for the entire FSL suite (tools and data) FSL is a comprehensive library of image analysis and statistical tools for fMRI, MRI and DTI brain imaging data. The suite consists of various command line tools, as well as simple GUIs for its core analysis pipelines. Among others, FSL offers implementations of standard GLM analysis, white matter tractography, tissue segmentation, affine and non-linear co-registration, and independent component analysis. . Installing this meta package yields a complete installation of the latest FSL version, including all tools and data packages. Package: matlab-eeglab11 Source: eeglab11 Version: 11.0.0.0~b~dfsg.1-1~nd+1+nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 41106 Depends: neurodebian-popularity-contest, matlab-support Recommends: eeglab11-sampledata Priority: extra Section: contrib/science Filename: pool/contrib/e/eeglab11/matlab-eeglab11_11.0.0.0~b~dfsg.1-1~nd+1+nd16.04+1_all.deb Size: 11051824 SHA256: 4450ba1f6828f37a6c057d0632772dadeb9a5b89f75c8e74b483cf940b7f0df2 SHA1: 8bc10bf10720d41cb679ad82080a43bc9808d2b7 MD5sum: 227503b5f41fcf5153fad14c826a4cf7 Description: electrophysiological data analysis This is sofwware for processing continuous or event-related EEG or other physiological data. It is designed for use by both novice and expert users. In normal use, the EEGLAB graphic interface calls graphic functions via pop-up function windows. The EEGLAB history mechanism can save the resulting calls to disk for later incorporation into scripts. . This package provides EEGLAB to be used with Matlab. Note that this package depends on Matlab -- a commercial software that needs to be obtained and installed separately. Package: matlab-spm8 Source: spm8 Version: 8.5236~dfsg.1-1~nd+1+nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1217 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.5236~dfsg.1-1~nd+1+nd16.04+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.5236~dfsg.1-1~nd+1+nd16.04+1_all.deb Size: 171742 SHA256: 4c9f8bf1e63b3f69a51dd6b26c28924b31447a659e6452e269c99ccc9a82c54f SHA1: d703fb8473247798feeee0b36e12063317cf7ae1 MD5sum: a4a0cd800ca72c66504720f710706d7c Description: analysis of brain imaging data sequences for Matlab Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides SPM to be used with Matlab. Note that this package depends on Matlab -- a commercial software that needs to be obtained and installed separately.