Package: afni Version: 18.0.05+git24-gb25b21054~dfsg.1-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 50941 Depends: neurodebian-popularity-contest, afni-common (= 18.0.05+git24-gb25b21054~dfsg.1-1~nd17.10+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.23), libexpat1 (>= 2.0.1), libf2c2, libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libglw1-mesa | libglw1, libgomp1 (>= 4.9), libgsl23, libgslcblas0, 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, dcm2niix Suggests: r-base, xfonts-base Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni_18.0.05+git24-gb25b21054~dfsg.1-1~nd17.10+1_i386.deb Size: 12009444 SHA256: 62eef9613d0f8a5467d88477d0e6cbda93ea56ec6692957b8802cacc4570a447 SHA1: 5c9bab043e3f96f9cee4efde38ec03bff861ab61 MD5sum: 695dd05cc34552d33fa40a29ba0801cb 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: 18.0.05+git24-gb25b21054~dfsg.1-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 17627 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_18.0.05+git24-gb25b21054~dfsg.1-1~nd17.10+1_all.deb Size: 11208498 SHA256: a9f32d744c431fa6f6f5e58f30691f9a9628dfe467c6fb18bfb9a04e30f741e2 SHA1: 5304128248a004c8904a6e9720f734617d5b457a MD5sum: 71677eaf339ad52fc7470e9c1fd06335 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: 18.0.05+git24-gb25b21054~dfsg.1-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 40710 Depends: neurodebian-popularity-contest, afni (= 18.0.05+git24-gb25b21054~dfsg.1-1~nd17.10+1) Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/debug Filename: pool/contrib/a/afni/afni-dbg_18.0.05+git24-gb25b21054~dfsg.1-1~nd17.10+1_i386.deb Size: 37559414 SHA256: 134a4030a6f6e613b729b8ffe7407178922b1a9e5bbb0857af19d8e55fe3ee5a SHA1: 3dee2ffe425d6833df0108430ebb1dbcb7b7bf41 MD5sum: 3d72ab795ad867af9d311d0e34ee2c28 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: 000cccee5b9903fa4883e349d2974759fb9defce 0245789f2aed7a71224c9bec7059f951606bfb4a 034947779d60b9035b43a90832bf3e9afe47cd1b 039cd3c54b150e606757b3e5648f36aa0613b572 03ccd3a78a4263bf2402c45abcd85cd20c7bfad2 03d42b7334ff9df5e15af3a65523e446d4fcdab1 03e670f26e1d21baa0d0a95aa8261b9d995182e2 044a594e97941eed915b002972e78d017b425a0d 0463d103e166d93b68dcf7722ddbdc70579d58d4 04d5586e5bc6d9987a52c5972903844cfff34dbd 04e4f92899772f46ddefd76c4f9b3f4e294992f2 05ab84463b1c153ee7e0b218c2a77028155cad2a 065266d5a6965afc386c9f08f99abcf28c6b338a 072ec3edb29cea0847329d840243f12b83d703a8 077f5d9ff0027efbb7498e420b0e66e790fde65a 0854062ecfddd866597898018f9a31191aa254e8 08c9d4804b317efa62a36a05b9100d69c275fe4d 094ba5d588df3cdde403a0741671c2f53a1117a3 09ab2f0a2ba81c84a4f488914c6cf7d8cbfdef70 09c1069ca958feafc4426ca67fda829e4b17b9f9 09df155ab9b3e57ed8eea45f4de9146da49aa7e7 09f31b967941e5a1fc391c855e991da735b0ca35 0a5607d242a97146dac1eddef8d48797891a7142 0a9eb03ec70a0c90341cc2ae7c8bce09b5f4c485 0b853650cecee5a040f1fe3fca0d6e959f62f81e 0c17634fd9b65d88d42c5665360175646fcb67d1 0c57599c989d25c594c09dc31ee2703a63777da9 0c8161eeed0586f795b460bc5000ed185dd08124 0c91bdb157e2fed842108ebeb971578a531ea5d5 0cf19f867e0f42594ddad477bab3a561b1878dd1 0d3e1f77124a8688698683c8a64a58275f45500d 0d71f5257d21dd7b4a09a3042115c823f44971bd 0e27c53d0031703c3bd77f90670754bee7fd2e28 0fa01555079f97aec88f268d30200e428ccb0374 0fa23ed43433134bb424894eb36b30100a8791dd 0fbf6a0db5307a10c4208caedd564aebce68be69 0fd3095c9ce848b22a02f9d32e84462327da79c5 108a86dfdd039d8c16fd1a972c96b4a38e8ec644 10b4d96f058b6f4c54864735b016ad4c7ae7b831 11bc8bdc6fc035898a339a9aea82ce0b26b230be 11c73884d55bb6b99bc39a4dd42f702caba3f227 120a4d62de7ceff64c1043a8fb42e73102c4d63c 123e7a4a800fac4ce818953453c514629c7dc2a1 12c73c30069947c20639478ef778044d55d72151 13c8123590d59fa93267e58d0cf496f9d333adbb 14a90f513e4c20299bde3e2a65ef75e74ecbb376 14dbee9eb8ac0f61f436b4cef34f2b830e61c3ce 15a54d8d9eb0aa591dc3f4971b43560d4b5bcc5e 15c1a28d4b83099c0fda947232a6ca3c978fa154 15f79a98a71f6ad4a26734385fe1294bd52bf802 1646e980dd1c6f37484cbd20db8f7bc61406086c 16b7957c7e577d49b1902087f77596ccb315b6e5 177c9bf343f880849df8235fb0971e9bd6d036f3 17c653266f95a704512c18d6487c58c6572906ff 17f28872c2ef77f8a84c0cddc431b98a1abb7ef4 180a3ae2903183b880a9bd489f9977b86af5a6f6 186594e8eae5f23fe2595c9499be7eda96a9b45e 18f1161ee6f2599ed37984c0fc8bbaed5bc5eb34 19498e4fd6eea7ecb7401307e70c856114f22b33 19d23fac5aa96d319f822af0c6f9f036f082b1e7 1a847d945941a1481f41e35f75642f23f1095e8b 1b6b13ecd84e8302935e44fab9254df3cb9b5ad3 1c4d7137edb474c885083888d36070b40ff446ab 1cdc42c59b4dd4c3a2356dfc3827ad9a40f75c92 1ceb657d8ad29f288eac66ef9acfa65d7343122a 1d0f5a2a40b92895d8870ac3e326ed7610a9757a 1d662f489cb8c8276dea4497a520b1bf8e793013 1d926ada7665a307a4de74e855b4c2239e996c4e 1feef729add12546e553a557c29cc8b1945bbe6f 221fad89747880fb83b1d662b11c183d2ed9e68b 22e0d624544a40325e0f17e42688989c5794765c 232d1f7a03f6a2f0e76dc55f96130eddd1581c38 23c5125399b267f5800c928d0933e44fa5e7f022 244a17d79e2cdfd0a81595f744e3df5d4dee2258 2497a80ce94b4cd0cd541ee5791336be725e686c 24cd1a4c52ad9c548879645cd5ef57d6fcce9f9e 2664c9632076efe554f4a64856584d93ced98d7f 26b1c070fb85a21e4f23485845916de86935c12d 282a09834efddc108dee223f8047fb147d030dda 29061a7dbfa78c187fd420210e99e846c393ee82 2ba8fa31fe63b7add6ddfbc5521012cb07992817 2d2cf8f35060b1b7722e110eeebbd11713e45a87 2de41cf5172543fc3ab94ec194f51d5c5282cb51 2ea4532cb57d01b4f14a7e997f2b412e565c66e3 2ebafeb44993bb6bbecee94ad996a0eafeb1fe9d 2f22dd6ccc8108a3ec96c0f23755a4eb18371f7d 2f8a284f676a0c1bf2f143f86ddb609ac0f8a207 3055f26fb2248ca55974f958293577c26914e9cd 30ad9733abcb6c4ce4fa52d212e87aa50a0fe909 3195cedc138faac2bc49fc6ab22fd4f0b07a5fd7 323d5b9b42b91b6325da045024d6268815c4c64b 328d610648d28139cd546bb5963a69f33a4b8c37 32b98b90b4c8ed49dadb482e42397d0dab4cf939 32d54a6d8d939bd88454c9ed64e083f168ea1a1b 341942580165be5b6d69d6ffdfe078f4d2c45f93 355487b51ecf66ad5dcef08a68923b89b739f587 35f8fe6064d6f3a7bec04aecab1f0a2f900536d3 36a03192dab10eaa50d01ca5f037cfbdb61bbc24 3728d8cff188addc50d321fb9ae50c1d0fa15494 37954b15cf743b8e1075df2e679999d3e05b09ca 37c732482bd08783b68153d7bd3396ace818bf5d 389e7a1680b2b9aba0403322e341bead33effd24 391bff455df657f5f945197299672142e07118ad 3b07ea8f3d2f6d8d93f42aa591942eab66513684 3b5fcc444c69b7e0e5130ca6016bac1e9d3d48c7 3c0e67667ff0d37554b37d14fb6220050cb7349a 3c2f5094ef0b7361e0e6d1b7462fe173618e9d01 3c3d0337bc84da403d0b1e80b57e5d6ce77ae217 3c694c3ff486cf9141a840437d5dac6516b5a0cc 3dc3eb94ff88037cd6f4fbb5955e7d986e9429cd 3e1789d53a35e8f85c1efbed594329b9a3adde3b 3e708a9c370d127f5b38d7245fd1ee1159554a16 3ef1e1723a21cbf72d0c29954d1430aa4092f75a 3f05140b3b232045299a85ceb4de60cf09b7ed2d 3f3eae368e2fcc01ceeff4ee4d6b73a628f03829 3fdb08c6c8f468b6c0710d22a0581b006ddbc2b7 40346c94c75e25818d74aea5dd77b7f4f920ddb3 404991c753e95f7cc84c91aae7a968ece3c3d6aa 4051aae6055cd5b53564f3d08bbe6af69ae80b37 4080fdeaaaece9c5a40ecf1b6cfa9c284701156f 412d9512be3d3f35748f236d6f4c9c03a90166ee 414e149f64f284f2bde45d495943f9d47954c83a 4192b71895aac259a6e5c21a596296d2ea845c03 41aa3abc88d6e09685631c1f039bc53eecb10208 42ba59c93fc4b494366a74926a6c8e5c69ab6d9f 433846a52bda61eaea1ed54d6c6b149a3a5ccd8b 43ea90786998337443ffda0d6ba5464d4ff3999a 4400d67b26b61c39a69a4fc2952c60f28431d7f3 44abc5aeb712e899b4173f09b4f5ac189b125d71 450557c0a4a48d07bb266912793bd89d43c075fd 4536f026f2acad9a3916aa003a3773d07eed1bf9 45eb8b2e0f5d07193568b0dade80fcb197bb90cf 463e88a1f819037b85fddede7567fd567e4f1162 4738ff61b8a3e401c482f927075da608376b89e6 47561da740b2779ca818af9b80d509c15b982687 475e5473bf26c0c4b03f071abb502e654de7a833 47eaf9e6e0be4336a6e35c866146992fd1900c09 4881d4fe1e2e42d18c62f63d68cfe73406ae4806 4a584ffe320574cc99b0ec6200d084adf23d6e31 4abf4e745a7d51aa56897787ddbc1d603188f80a 4c11b0c1670d3c7f3f8da2e8e593348d43065ce2 4cc99058e4ad2cf3b129fab52a7990e8273c03ce 4d17d957a3eef46ccbcc0891cc4900111b92d5bf 4d809d8c9d047a167282eafd9eee9b3d23163f89 4e5aa6221336b436821195afe3f4755b7c72d487 4fcfaddf8ad380c80646a66fc8dba0bb91b18abf 4fd442fa67f0c8caa9218948a312ad4db4cdcc47 4ffc3ca62457a7c8b5a178fd18315cae8973ffb0 51288a5eeb109df41f8fdb303e6ff454eb0d00c9 51adf11436f9ca68441373c4178877030a6529c5 51c065d7a02b7601796972fd27a01a333af94b7f 52f0fcd8e5de35a3df217c5eacfe245059038ec0 54cd4f033d9a5d0781ba6f8bd6754efcf8bcb8ab 54d73f4d8710b8f0fcf739898e6fd07873522d2d 55992e7a17b2e41b48709b2f7211a3e8f9d29205 55a0ba51cfbe7669c20a841887395bbb6e3e3ed1 5674074e4b4a8533398d85ca48e5178b48264d89 56fe4882972410796e459be58812fd28bd0808bd 57b5dc4fd960607960ae92c09b50df85388a79a5 58aa1044f0d0a95d5b0622217b1e7a385329fce6 5985813cc55e64f19de2ce5852747fe18b05d72d 598a1a7a691c23b31a5ef8b578ff4984046c28f8 5a44f059b6925858ce998d2a6d4af36dce5d31b1 5ac95464524edf6ba2af28b3198f89be464f1c2b 5b5a48bed1f477d50920558671281dd35e77d109 5bb80dfe94e12ca9ad8f55c8af4a22fcc0964192 5c2c5422e2c5d35060aad9210b9bef782cdcbb7e 5c7e2c6497fd08b2da9e1eabdf92844bf98ef3d5 5ce02e11bc65693c77dd04f4c74f801853669284 5cf6b13aeee030e3dfb1cfb3913f2e7c668b9c0e 5d2042000b19e54be52dd6aa80c1f587781d1d43 5db21e37df0af2aaedcc2b9974de66e4b60794c9 5e26c68b109fa777da9d5c7a03887cccb18db6a1 5e26c68b109fa777da9d5c7a03887cccb18db6a1 5e4952e6cba899cec53e6882ba6b80f53eeef5eb 5ea1b4bdb46d6ddd52d930436dafdc1ead5845b7 5fec70d12dd2450300c88531b1c9e7e47fb1a614 60634a3b1ccc61fcb068f9213ecae8619cecba9d 60a0f0d70277360fa14201074add12cfa7c0ba7c 611ae85712182c71da4934dedccfcd4e2ef705af 623f34cc02b73e8ebd657eeef566fc67f9279857 62fb55f735c2d9282bdd96bcf066687b68f47c36 63de2423b28a70d16b7c3c09b8907c70d92da4aa 643882a6201fdd439a2a8dfa3e0e2319617beba3 64bb12fe4715e6810839c6c941a3084c73156ff6 652559768dd6fc5b2d0522be72984ac1db5ad920 6577672acae1061255f4f61a3ca87705ba6cdb91 659f1546a8f27c80025747291fe8b698b8150e3d 660dc75089a52eb3c1391456c1a76c1b9b716d38 668966245734541c8f21c45e5f8cf695ba7f654c 6715c715719fc131f8b2b910282a53c5b6d0ce01 6879686738ff8eadcbe3d32de682990d278b0a6a 695f0db73cb42a49fd99ab39e9cfd9761bc00c30 6a19edbfd5bc9eca132b6bc26ef7dd568aa4cc36 6a1a913d03e214fdfdbcd0b51ea7605917bf405f 6a546044064d37facbe43ddc0102c39c34d7f907 6a765aeff185009f05e37bae9b989d08eee7df8e 6a820aa66911a738788494d7cf9cca6c6545b7c1 6b3161344e367745fecf154e158b30720f0df574 6b4c869df147333564777b84295ee09fcca55792 6b6e9ae50e99bb6eee1d59054b7a84d892be9914 6b76193a83f7a4bbaf41e89bbbb5621f5a7ee5cd 6bce30cc63b3d6197974269d3255a57e0a71f53f 6d1a91b2988eb0087f9c27beda3fe06dcb452287 6d5c35ab8e19735ad9e7b319f1811d28e878619e 6d689901d9974fb68757ec5827d38ef027f38aac 6eaac951951e02604b1977d2900c572f84404b37 6f0b561b2308691bfc4621a7eeccfeb33a5745cc 6f5deacde5479f61d36e9435869171522d3673d3 6f9c3292cab43e1cedeb846aeb20d7db3919569c 70af7eb39d412cece235052697a8b324194236af 710caa2184d01155d651bf427e51c4ff4cebb7dd 7111bd3f1695dc4a66af8825a6468d369ea7b74e 714e72e92bb2e92f7c845b08a43504309d09879d 71d7805e6146bf139706034162e9fb0963853c1f 72060b08bbc099f473c0f48a93c74652c708ee1b 7243a947fed0b4a7a6654ec6f723cc85c3eeedd2 725e9a489b31742f6948183b17034fe824cdb711 737f48c8ed26334ff616206bf10c3a6439f3701d 738d79ebac186f2eb8758c5bc8c5afcb50de7c00 7446dee48697a09e3f9aa1a3ed2756c26c360951 75329bbe8f6c4fd5aa81200a43f0b4d607cf2416 7584c7e16538ed622c7a17b93114cccd5fb0922d 77caece1ec30ff43b334d1ffd8a444253c3022df 78607f70677c0786d9ced1522a5d39fc7a8cdbb5 78af767a34787826c9c85868274776eb31009e92 78c2389b8e58b97c35bc2eaf038857a1e08f130a 7a4f9e3d2152148369b1fb24d284b9bdf5680624 7a6485ee6b43819ffea57706de4816f26bc30064 7ae0580c13ce30c7c70c323842b55805d5c86fbe 7b6a7d2161c45ac99ce45bc667deb47a99424cc3 7bbf01cf7ac74b676f25b53820eacfd605244035 7c46b28397f196a6cf20fb503c41013b7772667b 7cabd4e9e93f9e7bb176f227e0999a3156ec7f44 7cddf5482bd1aaf3672eb57432168c1da7f365f0 7cff43cb75b380619df195f55a315f9abd879274 7d7aa32f6696056c15cd5069feba62e80352ee9f 7e245cb595512802ec2869a1455996e418d14147 7e51651eceae4222863fc0cfc1977f918637d2ce 7e8972bec10320d8624046abcc36310668eace0a 7f2eb1d162841fa34b82984f4b57b5c892cb2522 7fff93a23c58dd59270e62dc9dfa835df5ddd387 80befa53b21dbcf7e7fe581c6442e6bf8d3305be 80e6cde56af58c2f6303cc5d585a6f7f00ae1119 8133b3772bd0a042f5eb304e37378b7018b4f19b 81620aeb74d9091317edcc0ab2f363db2d75c926 829a0a0e6b0ad1ac72d6e41b12dc324912ca5259 82b5b943b42443548f21069e7b728d3747bd1007 8384debf8f90ee9c8b4627ec7ee90ecee477bd64 8463ff4c663219f7a2a16e23ef9f0bf301bf1c01 858150c4eb751e30d50998ea842056e7cdfd099f 871aa11f6a729842647b2de7b1bed6fd2e7d0075 87440482b7e2ba70f605666242a244a7eac291ed 8755316dfcf5d8f3711a144b1207d43ef9e81168 876734c561345971279e158016699797b1248af2 87d61d17c1f84b66b37a7a2c501a1e5b2a10f564 883b10bf7e60ec95df971ffc8120513febe20f77 88435b0b99622f08ad552a71fa976a454ffec83c 88531c985cbe155eb69abdb295fc53e68362b567 892aaebc1f869b3a1efe8e11fe0b0d8864cc42db 8a69a390d14a124ba3a41440b12fe96850d61049 8b00ccb7e97947b721b16e1665b3a6f07e1e17f4 8b2713cb4e97d8edc66eff7890db368fae0e5689 8b785b118d8c9f6a4f74d98b6bf2bb6792eefc90 8c24509cfe9a038d67d43a5ffac2742934a261ea 8c719c6c2bae67501b77ad374dd4175eaac9ba23 8c75853261f53ba1c2d8ca4f1bdd5572c17ffdbb 8c9564fd14e8470af9f382163bb4a5e9fc956f51 8cbf4b5f310f37b2cb4bd03c1b64ce30850651a2 8d09960b4d29d198d182d1fba0a7af81fc1fdb04 8df7526a106d14853965a56c2e14ceda7ae44a86 8e289895824046adcde6f3acdfa77ce4829af73d 8e4aed376fd92885792ed7533d615101e38ed898 8e5868afab52f2be0207e57b7115d157d7dd8463 8e5868afab52f2be0207e57b7115d157d7dd8463 8f67bfaa2a4c112849e5ca9464c9d24b7c59954a 8f82f0eb89b5929e15f63c23508a41d6adba9695 901527fe7edcab10788056f2a77f923900f178a5 904b7547461a946dd3c300921a39024231d2b205 90f38f75d7b43c35b0e6fd5aad46a37e3a09d72e 9171e248877dd5a6a9a653f4e0977ab5dc27aa61 92a0bb396d88da58eb63fb7b8448a7b2025ad4fd 931983dd7c681641bd41a387600fb9046e65a6fb 937c442853c434ca356b1946ad1d15aef6a6a52f 93c8970d854d5ef30bbb8db58931644dc8ec4d97 93ce14400273a3bd7edea94bc0eb6c6dfb69223b 94a7d746a6a258580cc63093cba116151de1d648 94cd6cbbd5f922f5b69cd12b774c4385cb1c7b2e 959b631a038439397a16943b401c6083f45f0c0c 96b0b4ab1d0a3a833e4ec1f3b84a3c873612b941 98babc51167716d28fc3c32945f53d861a49ab13 98c509e080ebdc3835d1ead6971c472b4ea39451 9949387240875c3b799d4a670033c75244205f87 99648390d732fc295494b1395c2c44c2211ca5ff 99cfa9436d3edef817e43d536794d6b8d4fa7dcf 9b786e97bc429d3903cf7be995b36b5ba13b2e9c 9bc9d86a08019ac6faa5c263ad3e932a9cff2cdb 9bcec010a673b81e64af65eb5ef12daf86fb01f0 9c3247a0408089fbf17448e0f8d7390d16b78d38 9cde98e1c26e6c50d38656c240966feec8c59830 9ce7a43fd79862eeb464a16d088a0fa81e6363c6 9e16020b8558b5ce2e5e493222ebe28e5bbefc32 9e5fc4ddf137cf395c53ae4873bf4d7b9636c74e 9f6503644177f433842bd1edfd98c436398b0a9e 9f7a40b347bbc6cf4916939f81d076c194437d96 9f8760add45f277e41a429bbf3b39ef82696b261 a02130a7f4a9656cea4441b2505a8afcb6d50083 a04786ff4b39d7c42eb43fda7a0ac84555784cc1 a1cd33f78f1442a598bd3556262904e9ac8e7527 a2322bd946c9ed6041032bc460f4d605d0ea9014 a257fda157e6c8f7d35d8291f0c973ffc777eaf2 a2d4f3069a623df1e9ac91f49f95a1dac1896437 a37503a551d10f270a714f203d351bdd1a50315e a3ee8e836b0a278284d8c3d2c2830391353d76b1 a4d0adc552b33d08a5104a3a5b9c30c4ec24b0dc a54f33fe267f4f69123d1ec33061a0a8b4dea7a2 a6137e3741622d977f1dead7e07fbc8e8e0d0163 a661a4afc04495de42020da90215d81d9e4312c0 a6b138c7f11410126d223396d5b7998e561ad146 a719b4cb3d99f7b593b24adc0403f69739690010 a74a6bc46f73a9eb64424f900ba3a606737ec25f a75c966d0f050206d7225b977616326e0c98a664 a8378138f4e4611090ae9c8dbbb58c3d83f5ce89 a9634617c9b9041eaee407a0870f41b8d915cabf aac465d553d5518a2cfc305ac9fc8a6399c45463 aae49902e43c54eff251e9e355d0d6a53940e766 ab0cb1d21eae49092981337e493cba66de85ce4a ab8652a65e740c4047a0f19afe5198ed30b1bd57 ac4c283abbb126fd2c6e20e08b9f23081f8dbee4 ace15ff0113fd983e5faad3aefeda530083473c5 ad3b1e345a8eb8d728f73b76d1ff91639a8f2f8b adad0dd9befada4cf94d0f33e0541608dd052bd5 aded0fb5442ea92ff66219e9eeaca521908fd34d af93e9ba7f19a7143e52a68e68cad6dd01d71a3b b11116f8f1652a067e24e61d6223726037e331e7 b20801c9512b297ed951afb92b91e4803af19007 b2aa965cc9b23c2b507cf7a46bdaa6fb68ad301d b36e827b6f7ebe433ee284eb0e089a1fea71c556 b3fa3e735621740c8e7dacc87bd2630ddaede0a3 b413a3ef78359cb2d4d32472fea080b39704bfc0 b443b9f30135578660e8edb08f6974a70e62c9c4 b4501bdbacf7aa5b89ac481766682a0a84cfecb7 b66f7ceb1444c2dcf0adb49c3644c0779cb1bae6 b68ff271a2f696f95ed2dbe12db6ff867b8e680b b6e2cbacb5a5304d059bfaf876f773f888930aff b7051c4b6521259f1253b0ba1131742f54b7a16d b7ea99561cb16e3e6b81672e26ecccb8e6195696 b8057ceb814e5718ff526d3a55e36aa13bdb4ee4 b832ceb6278e59d00125abf66cba5793f06fcf13 b8c4a5d85bd984a5282e891bc370e803b0ecd4e2 b997ba98f4d608860fac9b1edc78911efcc373cf bbca04b446dcdf1cce72fc418c6e49549b453390 bbdd38cf2d12a529ff5a95dea46f162061114dda bc2c5911c5a95252f845c0ed25a218bdb2e95999 bcb0dd71d20b715b704ca11487791add94d14870 bcf7f5bbd55b599f66ce7cc5f5b6f500988d587f bd29d5635f35d7f93e74066cfcc0d8159a1f1f64 bdd025dca3c461feade1cb21780f28ae4b5b4f2f bddd3662f5059ac5732ccc15280ec058f5b5078d bde4ca7476a99ab44d551e2e654344c59add4f84 be6355835a832a81f83e1e1d273c1e6f761e969b bf1805e429ddae196efef39b7dbd5eec52d61165 c071f5031f2a44a224aa9d87e76da4136df55be3 c0cb7eff1bdafc212237b70d63e6e4e8c247ced2 c104f9d958fafa5c9ea119f327471d23de5a16d5 c1b26d4434c78e161bf942624178964ef253ef6c c1d3b0f1a800afc702e112a0835459620115cee4 c22d8c2bda607121701b434ea79a8f8ce992d191 c2ec69e81b5f033828303dfa9961dc3a82097daa c36d7b6dafff36e7c7c6c6d18a231a33f7c7beca c4571528a620d0ef5528985eebe15fb31a3bfd6f c476407b123e85de4e8e02f374363ea5b35dced8 c4d0c8666577f53c158f50376e1356c6197dacc8 c527275f3c7067c9d937909307c295c75b7e9334 c54f9b0561d95d935d995a0f2f00af37867559d8 c56da44ece663ba7b62497b0aa567df63fcf3699 c7af287d927688f97faa5ff3668f07bfc3a91d66 c86bd79acf9f6cd4f26c2c933e7434ca9e0b2d94 c8a01cc6e9f61330a955bc0d35e4468dffe02eae c92eb8401189db57c9d7cc0a7e4c153b9afa568f c9fddf6a58fe0b00dde83268218d6e5e33ee056d ca4154a440566232d7165873045238fb385b27d4 ca71005af45b8b2bd1c3e77ce54415aeefdd80d3 caa3e6d82cb0dfd2d38e8b5207dcd62d5e18d547 cadafb930d8cf111209f28ee57904bacb71d0606 cb18907459888bd16bed19b6906b0278d2dc388b cb7ae3fe061765f06bf82add5865b402d5c4d519 cc43fa8827f1b658a55473904a9c9219999860be cddd25ebdf36e1ee3d9f8bef8d43131d1557c587 ce3229d1e3235291cf552be956f4f89babd021b8 cf35aff7b47adb192cb6392b865df45971f4fb9f d10338b3dd7fa8813e3247a582b2a46493bf2ce9 d1282ecf5fa9fa3d691ee32e945df52c301dcedc d24a67d2754517c2dce49675a94d1f5e9e59e1f1 d317eecff77d7abae2fbf83283d29046d5bf63ce d3572be81a5411599f3335c1984fd1edb970488a d3659c557dc29f584257f10cccf527f21d9448a8 d3c9e6d6a68acde9c77c62c1cf8f2449d6a2d4f6 d4f6c3102d1fa37dbc40ea9b4732f22f2784f75a d4fcd41ab2509c954e8db468573a4abbd0cc3cf9 d562ccfdaf025cb2a77a0545bb50821d8d7eb9d9 d571387529d9b2886a79a958da1560d9b3ed7735 d64c451b44f807c8f49963e8bfe13643e601c880 d67521a6f68a6121b5a4e62f4792ccb9a9145c56 d6965a92de085de64d7cd9dc97cd45ccf3f082dd d6ff7617f3184581051e7575c9a72579e48bdf3f d701cc16067640af849c1a13b08858888b48be47 d72712925deeb8190fbcc0fdfab75473fd9783ab d759c7511cd1ca0a5ae5ad5192695f03cb08bc16 d87bf303028316c934d44f789144c98d7ec47503 d8e08c9b2f8ea4502161ea5019438ad0be75f9b5 d8e71bd1a44b5b6acb586b6702fa689c8da33fec d9647ee4942e3341ab63bfeab410ab46a5826bcf d9ab28373735580f12d265122afa95546edfc057 d9f1ed01c486925d8b9a19f479a8dae54c5752e6 da1a08699c84c87d508fcc1bcd1fafdcd526db56 daa83f83f96dacf088ed3337acec7a30248743a6 db61fb5465ec0a16974a2122e999354f9902c580 dbe2bb9f175e8779b1d2969b3ec29fffafde914b dc24a4644f0a43ba909d8c15f4af0cf9bb7de616 dd46edf34835b3f0df308a8d8fe0a8b19b0fcd0f e2219760a0501c39c43fb84cd84d9b57a0091c88 e2e546138b8c3c6acf2befe3bd43bd1049bd0625 e2f45ef35007cf73f6f3b857ae0ff6fbae53ecd0 e37133a9a52ff5fa2eed11c57ac0ab9f0b8a58d6 e3cfbe9afb84e13340f46752be17a977a7cf23d3 e41cf0f4087670b109adfd927dfbc2547ac15417 e4348c8339972c6552bb9dd997c409931592bd4a e52908486aa2aa89b0c58045f803ef925c980533 e62b8ce9db840743efea1b54bbcaf442f8f3da02 e7616d6379edd216032db9b5ad1db95b818eb855 e97b0e0efd5c75118fca51a21d7c7cfb346bac90 ea0027c88c74ab10fd9e92a3122c025fed06e9ca ea81bebc567992eede0da9bb04d0002f77f23510 eb034b77d2cb1f1e03d0be0ecb8a9f68b8baa29c eb3b94e551ddc2576fb0b5c5e88720cf6274c13e eb78b5317eb29b99b29bb8f6c527464d9194b1ba ed068e09b6e51913a2d6c0e72dcf5c9a2095acf3 ed12e68fa2a4a0fa6df5f02a40b9dca2ef8dce80 ed16db713fc878e1298a44e2c465a9ba97513fc8 edc0302519c8cf973e3d98298f1d5eb0665fa4d3 eddf79322f8435222482aff919a8cf2dd70b9230 ee0b0256461940946833a6583a125eed2b034ed4 ee445570071e7b807da025104af1bf3a56786746 ee479a6c32dc8ffb604866be764432b2c04541d5 ee5ef3607b0709080f38769142145c7a7899611e ef13eea78e7d2226c12b95cbbcfe8cc4216f2d6b ef57ff4e85b57731ecfc9d92646fa05ea5c6d114 ef71ccce8dfab041058303677017cf2929359a06 ef94a8fe20e027303ceb42c215f157305d12cc2f efc30c00ab59f91df3a50dc60dd20bb977306830 f01fafb6e7363ae8640c1f974d0fdab5062cafd1 f127411fe64aeec99ade4a156e20b18664dc21d6 f15cfcf4b2f0429e47455c26df707fe9d59c8202 f18eb3cc8b7837143052b2e385d8b68c2a69e891 f22843a2b1cb298f9d2cc73d1a8f518c77a1d29c f28a0261d13f4933e90b19e85f7026acfb143444 f3477eae93d8e742a67e9e237faec57b72fc036b f3e46be8189dfd122787b720c2ecfc2e04b8bf97 f584709b61202737e8573e96ec754284a908a6be f5a1f9e00ea979375349ff3c81b0379cad832609 f6b1a5ace8a8fd336a41101084184b965baa104a f7d209c6a098c9cb418d3014ba1236f255686661 f96e0ab6d231e3fc41a73e44436e264db788b156 f972f52ea29905a8f08c09e357f25aef2b996f36 f98777808ffd73b173b6af730a30db0f3dbc2e8d f9b46a59f4d4b9ba97225b87790078bfa3645bcd f9fdb799be7d15e55b4542c2a8053550e7701a9c fa60a17df0ea1d70769c0ece7d79769dbc987e66 fae4947be26a9873f7397b3b5eb3ca30674ac3b3 fb2b38b1f8f900ced8d2118b49a992a9b649f5c7 fc138bf8ab0b7191afbf87da2c9ef2ce950aad09 fdd7b9b78172da7b1d3acdbab83296bb1ef0cb5f fe7dec6bb3363b6e31f45888358af50dce9ac49f feee0eddb3e69a4a4dc68e143618e811adca1ee0 fefab9fa26685922af02927d19c7b2013beb2a46 ff1b7bc85e58b283521f34e4b6868665f2b78348 ff4e75bd51c9f1eb910151323d9c9200f30a68b8 ff714c9a0077a399e2db9fcb9fa3aab851185660 ffc0378965cb3d7906e4b66820fcc9858f9f086a Package: afni-dev Source: afni Version: 18.0.05+git24-gb25b21054~dfsg.1-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 19008 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_18.0.05+git24-gb25b21054~dfsg.1-1~nd17.10+1_i386.deb Size: 4405298 SHA256: 7ca22b5796eff6e18829465d09a1ee5b593dc640302f525a619434fedca06d26 SHA1: 5de5f08839a01bcb6ce291ec123f50d40116a710 MD5sum: 8fbde6d88d2db360b29b58e2a5d01764 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: 5.0.7-3~ndall0 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 12 Depends: fsl-5.0-core (>= 5.0.7-3~ndall0~), fsl-atlases (>= 5.0~), fsl-possum-data (>= 5.0~), fsl-first-data (>= 5.0~) Recommends: fsl-5.0-wiki (>= 5.0.7-3~ndall0~), fsl-5.0-gpu (>= 5.0.7-3~ndall0~), fslview Suggests: fsleyes Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: contrib/science Filename: pool/contrib/f/fslmeta/fsl-5.0-complete_5.0.7-3~ndall0_all.deb Size: 4014 SHA256: d524bfba85f003dc1b013013927062869d310468a1723cce2f889cd999d0ce34 SHA1: daed795276f955a9c9b179fe1b43d845b47bb799 MD5sum: 22798de378c13c9de7b0f817fa5ac257 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: 5.0.7-3~ndall0 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_5.0.7-3~ndall0_all.deb Size: 3954 SHA256: 3fc0882881b73b4868405876f3b31addd423672ccc5214e897e19c39c2978e39 SHA1: 21dcda16b2d7bccfc1898d55835f08715b747796 MD5sum: c4d1c94875389ab6b43c0d9e0189cd0a 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-support Version: 0.0.21~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 96 Depends: neurodebian-popularity-contest, debconf (>= 1.3.22) | cdebconf (>= 0.43), debconf (>= 0.5) | debconf-2.0, sudo Recommends: libstdc++6-4.4-dev | libstdc++-dev Suggests: lsb-core Conflicts: matlab (<= 0.0.14~) Replaces: matlab (<= 0.0.14~) Priority: optional Section: contrib/devel Filename: pool/contrib/m/matlab-support/matlab-support_0.0.21~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 31674 SHA256: 199b7d4628bd943ac1dbd638de48a295d36480da629e7d5fae4a8bd768771b6a SHA1: d5a5e84d76ac26999a68530261f7c7ae509ffbd6 MD5sum: 261299f4dc21b886100bbd3257c92cca Description: distro integration for local MATLAB installations This package does not provide MATLAB. Instead, it configures an existing MATLAB installation to integrate more comfortably in a Debian installation. . Currently it provides /usr/bin/matlab through the alternatives system, offers to work around incompatibilities between the libraries bundled with MATLAB and system libraries, and provides a helper utility meant to be used by other packages to compile MEX extensions. . Install this if you would like your MATLAB installation to behave more like an ordinary Debian package. Other packages may depend on this one if they install MATLAB code, for example in order to compile MEX extensions. Package: pycharm-community-sloppy Version: 2019.3.3-1~ndall Architecture: i386 Maintainer: Yaroslav Halchenko Installed-Size: 716865 Depends: python, openjdk-7-jre | java7-runtime Recommends: ipython Suggests: pep8, flake8, python-nose Provides: pycharm-community Homepage: https://www.jetbrains.com/pycharm Priority: optional Section: contrib/python Filename: pool/contrib/p/pycharm-community-sloppy/pycharm-community-sloppy_2019.3.3-1~ndall_i386.deb Size: 297890100 SHA256: fcd418965eeca4bb39521b5a38bbcdc3ac9c8c6ddeb6e96e2f5fd893ad5b61d0 SHA1: 3c9a619d09a7cc041886e4116c16f87285966c40 MD5sum: f1d85c02aaddbad3d8df1019e125e15c Description: PyCharm IDE (sloppy packaging) PyCharm provides a heavily featured IDE for developing in Python. It features: syntax highlighting, formatter, code navigation and refactoring, built-in debugger, and more. . This package provides a mere container and installer for distributed upstream tarballs. It by no means qualifies as "proper" Debian package and there is no support for it provided by Debian project. Use at your own risk.