Package: afni Version: 16.2.07~dfsg.1-5~nd16.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 46991 Depends: neurodebian-popularity-contest, afni-common (= 16.2.07~dfsg.1-5~nd16.10+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.1-5~nd16.10+1_amd64.deb Size: 12900174 SHA256: 0bb73f83aef8a32cc643710c774b6262f58fa151e63382de70fe3396a3edf521 SHA1: f1249f51db096189457f40f0fa301fe8c228578c MD5sum: 5bd2a8cbd36f5235afe7defaad63537f 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.1-5~nd16.10+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.1-5~nd16.10+1_all.deb Size: 9347630 SHA256: b10d5d4832e5726845f8e635ab4aa78991858b540b89ed64775800a648241531 SHA1: 5befa6444a40256acfd6af3773664ea81e2b5b2e MD5sum: ea24c01166c0b3eb5939773ee31f6ef2 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.1-5~nd16.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 43085 Depends: neurodebian-popularity-contest, afni (= 16.2.07~dfsg.1-5~nd16.10+1) Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/debug Filename: pool/contrib/a/afni/afni-dbg_16.2.07~dfsg.1-5~nd16.10+1_amd64.deb Size: 39082526 SHA256: 3a02bd4538d67af43e0b1f19c67b4545a2c5fee2715f9f79a42be94cf13c1dd9 SHA1: 76aa3e2e1cae5ff76f9569e5004d3d5162080a8d MD5sum: 188a727af90c61af765cdded1c0b61f3 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: 000d024c74a6e37717538f2c637ffdefa8a24074 004cb84fa3ed03e89110ca5e863ac7e42efe0800 00665d4b226c34716f7ba1c499c4398a1d16bf34 0191c91409f21c00621023e319a33b0db04a6ca4 0205624a08e1d3025e3d798fae01b73563233546 02079c4982d240a2597b2b36b67131d407011b0f 028d2a6f45b846a05c3369faa0b39c3c8f7aad80 039616b5f3754f9c5f3b1af0101351143a8bfcec 03f6a9f9b0f49a107b707bce68e2d291789ab2e8 04124c83519dd48efef4f0a71645a89110dce664 04bf94c0ac000767015673b2be7811e3939b80a4 04f31029928c65bde98a6d1090e8d24f884e2040 06f78cf2685dfb0c9e070f833abbbbc0d457f498 07ae75b20f2f373bd99bba97f6a750fcfaa88283 0834079285e014af75648cc8112d37c3df0742fa 093d0d93bb735bf270344333dc0877670f2d2137 094c66b1df4b658516afe8169a78c06e144451ca 098eb73ed18d6071dd6dd9904c128de4395a9be7 0a0709bd63891459fc7fd4198fad6ca1722486a7 0a1047ff67225d7e61ca4cc67eb939f31ced56af 0b7987c1bff5437927f25fa5e142db65eea0bdfe 0ba29138116058a4420502c358ecb98e62386557 0be0301d3f5b09a43f2d46c41ccfd9a2ad64fffc 0bf51551312efb463a876a6fbb41585b25911e9e 0e5e759f3d510aa2b6437ce3e03378aa4ea0a8f6 0ec75cf9a56af0009ad57e91a45868c222a8ba50 1082e1e9c03b9f19bbc49b3e4bd267090c7193b2 10c95bf95684fc968dab4e8f94de280e6943e0f2 121959cec6c4a166a406dcd2dbad9f60b66916d7 129cd6d8c61703ad5634ee7beb1cef941a95dd9b 12cb60b80fc26ce195a2b9da63edd336518bdbb4 136ff51052aa9f3c4f5c1292cdce1652c452c9f5 1384a9a92dcc03357f8a964ed4f7e1a1ead81fb8 13c570355026596024a3474eda9c69afa5a61707 1435debdd5a22f85dd74740b703392141b1722f7 14af613db049445a8a3a9a6ae10173a419e72f41 151f52dbfc9c5a0ca631d093fb6e2205212c0293 15477f608c9c063a1a86ac35eccbadbcd8c84217 15fca0a78a07af10d41304d77f7a36ce3913c7ef 16682d541dfb2e195adce41edc1ce3fa7ee9dedc 16daebf0e6539c3a67310479bed32736acee124e 173b413ae868ff9db3d27d16581c852f1fa08931 174437b5fa1fc8cfaf9ea8aa34dcdb60000629e8 1754d2f0d093da771cb70e5467994d8593d72719 17b7ec6f20e3143fe2b6dd63b3a963b09d6759b5 17ba9cc192a1fa7aa7b3624680621decbdc61e54 17df934569397e6f1e7feb87b735214b49666392 19897fa4a527bb3a184f5cdb2febb6b65e1ce54c 1b29e566fde9b98b8379f61115d2d0a31105b643 1bce090ea5ac9d503dbb60a347d619dcd22acdbb 1bf38b3780365f2d36ba0fb6f5080370baf07742 1c5354dc9b16d3629e60d776d33f06445422a898 1cdc80a11e3a7f750b39b0561f82e8ba1e46b9b4 1d7ddf2c3ce5e27304b37ad5db2df5eee47f33c6 1df8a8810a6819036bf75bb132de76030c2674c4 1e1be86f982e5a38ed545e6d62fc919e4e41695b 1e75a9f6b76bb29db1f7bb99f9213d925bfb72d8 1eefcbc4f392485fe5b0f532738a113641c49b98 1f042eb276fab6f17bc1de1ccf9dee590ce1141c 1fa4acddc92465af918527f971da704e8d79796e 20a22e8878d142a1c4a08c7f3b63c9b4dc1234d9 20e0eaf11273b3a28000468fa10eecf228455762 21da14f1f5828772549025e862ab889c6741a079 239de22763bc99e10085e4f4e76d0721ce3c0a9d 252862136814430246029534951d654fa64e2595 253f82569f2e6c83233e770e3817f36c66c5a370 25cc4be0fb20836d366cc78e4517ac9b1f3fc02d 2650001119e03cf812d18404172a9e3ef15f2640 277841fd19974ddc3b353e83878f5423f3936167 27d360584326d59b8665599172fd7503172d2058 28c933569fe8286ee72765d7144cd4c0154d28d8 28f7e7c1d1f8060a3de51088e3a752ea737d4134 295b1bfe690eb8bed531d9e284cf2fd8e9ebbeba 2a0db8a0eb4d797fdf85b4d7a118a24e456b672c 2ab67a7faefa3be68080345a6f776742f58a5b46 2abc4c933d91a230aace88a3519d716e667db9d0 2ac40616da86c3f6913aa465c41f114538328fd2 2be3f30aedfa04aecd1a05c2e8975b6b41842bca 2c6ff2d2bed2b68b65a893d7bfb2da8127232ad7 2d152c3efc201067b427e584fb5634c0e4a82e85 2daf10e39aa958e52daa08c9ec3457a77ab63d80 2df7349e91fb50d5390698be6fe2ba7fed63e110 2e3bb6d0f943a48d94a25d960b12d882f9fa52af 2e61a2731109cb71259f339688c6b2c97ac9e031 2ef0e5724316b0abec43798e7afd97f235e75a0c 2fef0a880813bfb0572b87531dcfed553f0154d8 300198b2f68f4d5b60e6330ea4c11a4bb647dbc9 3072df6beb06c975725cc9c06cd5c8fabf3a950f 30cba1ea248fb0cbccb4ca21e97d9f27e631936d 3177be354c94eecac2d0dc344091326c98794a35 31de7166080aa6cdc1b6081afb0c63a308e3fcac 3217749720401365b391f072ac02885913e270fa 32c4c7761fbd42ad29a9e53bcd3590c8301450eb 331e2409595874e20765ab9c4e4495149ebb193d 338264265b718cafa00c582642d754da34ea57ec 33f52a7f8ce5734b0d7fd38c2838cf0332790c81 346ff9ba976cdd670f6fbf7fe61230b7ea19d971 34ff229bb0b6083ad156840354ac4fb626539bac 3602f5e2ae28dd87addfa090bedeebf48aa42a18 36e006a8821d6cad88b81690033c39aae1eb1440 37980009d5f699d02878a7694a40b8150bada024 39a70599b31e03784b33aee06c9e10633b67ac81 3a8790d375c351a2730ffe368b19b2c48b75a7f5 3ab1e845850794b429f0163ef242abb70d3e6196 3ab1e845850794b429f0163ef242abb70d3e6196 3b18fa707e50c4560352c99b49a76b705ac05b79 3c927eac1a028379e64003570bd31893cbea3336 3c9a05057fcf91951abce8bb96bcda089dba7914 3eb09e59cf3f007ff8fa5fc96ff83fe3f6a0d6a8 3eef0f1c4db36457f2c61e963cf4c8b79bcb0069 3ef48843f637ef562a920c93826e724a75a14754 3fd1bc986bf9418408fba9c27b722156a33a5d6b 41272587581fb66f2ec11c1817e5b0ae0febccc8 415cc3a8668189871a8871735f72557c9e3948bb 41d8c4a30543768fbedf0ba8c8340f633045963f 4213ae3534357765d081b262238dd6e054ef75d7 42a9d9dd2694af4140dd0dd649c4c1324201a7d1 442e94f86ca17f305e438a1fc23a461e31f7a9a3 44400f2409599e0be3eb921c656e473bbfaaf574 4467b34bf8a1600f39998f92aefccc3569513dd1 45cd1f2e4c161c7a07eb8ed7d3bb1eae0a6a5c80 45e7435f9e58c7df4b68c6076d5f972e875f245d 45fda152f6f054764144ac2a790220cb7be901c0 471f2d5fd768e3c35bae9675583ebf6603004570 47464d2ab4430f036210e8e77fde3f5bced3cb04 490e0630ddb1bafbc8cb83a4c2459bb96bfe66a8 492a01e7afe189e137233330702b75dda465ceb6 49750c9676482e04ff439dac7dc57aa4128892ef 4a5c8f65f03bb79656da2226942564b7f33a40f9 4a9bb74c320ed23c66a73314dd4c51022d786818 4b85c286fc5e9456f53356fd6b5eb6060a76f734 4c191588970bae016b878816c19f80dffea1d933 4c9f20cc7b3c4e7ac0a4e2623e91c88833866603 4d1a40f68437bee4bba2c537dee786703b8ad066 4e4ef267ef6edb5552678da7322b65ab87316f30 4f47ca9cf820f1ed54304c36a869076ba0fd873e 4fa121d594f28e3404c2faf70c4dbc68a17c6f27 4ff6e76f4709a008d70d96736adbf99c20221994 509d5de10a766ec5294076e3507822f81496831a 532f2e6b32fcbf3037e7f32327e13427fc728ca6 53ea8913a57b2864340e59b3474c61ef7d87b7d8 54369accdd5e739b6c830b314a4304c69bcfe1a7 5475c52482ab168a0547811c0fbdaae6b9223837 5482612bf2aabcd581969555d47fae9c34a305ee 55bbe8bfdb7830d2ed6ae5e1584426980f26fa3f 5647eb07bf64ce86218f95871c24253d78c5fe13 5791f2b2ae3f27e464e3b0311588a7ea4b889ff5 588cefcf9750d2e355f39fce5699db43dc08eb5f 588e3a12cc0befc8599aa9ac5f5ac83a77c8844b 58d3d16f95dfddfab01c5bc5118040a719eec1a5 59663ce176ebb55b871df4f1c7a81bc1235fb75b 599b04b402f81e65a77bc02d856932d5e7a0373d 5a5774f94bdb44072ea05fa3aef14be8290213e4 5a7d926ec1ee3d9eeee7a6978e0b355d697cb93a 5a8b48574d1f371eab523d8edcacfecaf0c3c3bc 5b1781fa9e2d52a89d1544a19252c3dc89dac7f8 5ba75114839c21d957b71d47949b83989ca0351f 5bace199fd33efa74dbcffe80dd20f6d931277c2 5bc774b1575589ff3debd82be02710f00eb7c95d 5c60643450e62acf085ca5db8e5dab6b51b1995e 5d2f0c5bd3e198928115eb60c63870b02b99ca51 5da43fc7ea78aa7980f1d62b989a1790387d0f2f 5dbd5d94bcf51576132e00f187bd3070ed7e3f9c 5f313481063f9cc9d728245f5794be87bfe2193f 5f574a92090ffc5bd1695fed595375e3501b26fe 616a2572e68f7f8b62a8ef99b557682a0d8bae6d 617294de60a9bccf68bb75200b214d9bcb9c73f1 61c0f0768682bfc1f5c32ca760f3cb2142a48776 6217013738723680f055c463f3ad9cf6168e0e32 62b38feafa97f13d1da828ae1f68d85e4d145f30 62d292b7b7b2b5598c52fb28158457446a15ed28 636c5eb33f408275a13a0d74a9c9b633e6ee6994 63f813e2e3ed114374b15b8cc86dd05d9e227a72 648bd10054be3f7e6e3226943e328ef3186e44f3 653338b48efde994ce0fb7baad3575e73cfe30ce 65ea065891cc7d94a9c94ff1c5b53aad62611471 662cb8a83356787a39524d0d828376ee568308eb 6672ea67a4ab0bee928401616f33e722b02c346a 66b8338a019de8da10504cfb1d3bea8f8dd3e390 66c3e3d17d8a622c73f453689d509aa04d5d18e5 67ff912b6b924beffa1e40bab56c9736bdb1c34e 68f19b1d15c5ff273da1e88945bb50e820f2ac10 6925908a0952d3b11b921595b5d051921ca221d0 6a1278e31af2ceb07c8521119c329c2d746bbffe 6a9dfaea39e5c56665b11fecc1f0886cc8ccba67 6b4fb706ed7c142b8c4c8acc6a02186a9915f51e 6c0252d2fc07d03a22f3a7591b31cad934941f6e 6c0e9c0b278941320a219b611ee372b4d89f51a7 6c0e9c0b278941320a219b611ee372b4d89f51a7 6e1aae681255d445ea9ada350840b8f18ab3e364 6f60e32fd139ac48678725847f9aa253b0a460fe 6f7c5add46b68a50a3a100ca59e2aee92cf63ef6 6f8268b59967623832f88756f300eba80fdb64b7 6facb7d8b3e67dbb275e8f1ac67b880c0c8da851 6fbd2df04dd9c0051050633ae086489f6b208899 708f20d777c54d4c23b1ca25dac14e19627da708 7120ad1866f21197744e38207e5a5dda40ae5c3a 73264458d4eff1b92f289cb81fe5c4f761060c0c 735e2bcebab52d85d5b000cf018c7de1ac15ad76 7456170474bbd058fee8f4eea158e0cfa848a736 757ccb3a620f27daecf32f1b460cbabb2d0d6b6b 767440d4bdfcd2e9eb85f28b37e760b54549b8d4 77992aa356f6f805fa28ee6a547e3ddf476fac17 781bb1837da3d3b79ff497cc0c3f892598d2d2b7 78b66996232ee9492ebfa895a01ce5d59df8d7ef 7910b11ce2e3229ab0507bff84f62454a9050875 7999dddd0844b7d1be5b56211d64afa277685102 79ade0d2f36634f1261ec03a289bbe9db4ebed00 7a0066709e052a21b42ec5f9973dc9c2c5854877 7a51f7c8b1cc629cb31bf830ca5a1d0dbaa1c34a 7a95edbe0f336d56e5dc34e9bf0e6e452605d1b5 7addad104a68effc532044e75e690c9d45841eaf 7af3473dad1b7720f49106b7fb7b31cbd4c5de3f 7ba371020b8955d8af0c147911cf03541fa37f50 7bd1dee58937f9952dac7eda9ac8b31be95ecf1f 7c374d71b09fae2a6664a5adf2e957027f517a37 7c9d02aa4596f8cf6c602d41c169edc275f7a00d 7cb653630be17a6ecc88eac2acea38d8993f23a0 7d933caee840d8305e8fecaa7e6b190814bc7252 7db84de47f0251cbce074f8a30156b8e5431bdb2 7dc6916e2c2b3ab52850b0df1ab8961c7f00714e 7e14c25d351d811cd23dd754fab87a0b6442cb11 7f7233bb4b3b6a384d0838cdd0734c2361117077 7fa473466877498119b17f656d966fd6dd672965 7ffb20afd22d68e7f4a444277efab1dfc4a2514c 804409067924633b956cb61a42874223cda70c1a 80c2e57a3d761ecb54b1b087b10cf32e318d7dd5 8110f59d9957cb9ead5063fe089016bc3e1d3ac2 819bba04af1df70aff41c87a731a356acc1bf0d2 82547b23648330971b639160c6be931a047a072c 82831655d08bfc0af7da03acf1d2913e433d0b34 838ef016be6d7a867f005dad3e6c86a1b38b9fea 839f458254e1701bf179269cd84140b6963b9b66 86c63ed2a770e4e6d358974a83638b326e0aedbf 86cc939ef9800040d08da957c57851d4e218a862 86deacd62e4f6abd012d36a13cefcc2668f35f6d 8751414d5d7fbe322500041a7ca40a3d5664813c 87744c1741999a18ad88d5ef8426740d73b7c7bc 8842158222011c90bc98588dd0bfddd1b4337caf 89756f5b090696f090c102d9974480afbf808a0d 89d482991781798405df614e872fa98bc6f893c2 8b19c4cec64ee7120729786926788256cbc258ab 8b4a535c844ab23785e83d2b5df7cd5536cc2e77 8cb769d3d2d2c27ffe30fdfe06992a2ef63af45c 8e1f0ad16b24c2aa9e009a3e9fb6500c1506f6d1 8e40472eca34035178dbfb67d947defafc94b215 8e86f9efb3670e2f7c46f6a0d405607f108498cf 8ee5e272becd08141fe1cc84f784c1cf0d73a0af 8f1abe56607239903fc94a89d4132d55571a021a 8f3393ae39229ab1957975495a685834affff895 8f47e5f1670d83e19ed78e2e3218ad58b15dd249 8f6994928e18a51087518adf6943ae36b0ef41f3 8f7152833943017ccf48c29778e586ce14a27535 8fd9e9a29303c55d6dccdd91421d55fbc6631e06 8ff7802a3814c1a68eeb43964322a9be2ae98758 8ffc6df2ad2c31d6e4aee78b2710090f302191be 90cf95cd822497efba5cbee06639471412b24826 90ef7dacbe83a6c2b58d3168d59e9d5166dbaca6 913b53099b3aff3d48ecc43dab9c905892ee3dce 91bcbe5df8783737f53e28ebd4d5f1ea2393dac9 92b0ef986616da4c12fc7a24880031f7ba3cdf6a 932022f9b5e6398e7edab25ff4bb558be3b555ae 936f3699d3eb5601563d522b84fe5da4d951c45b 9409a4a3887fdf7cb58048d02011e347de50b64d 95c627e54efeb31574e01634e58a91d20ce005f2 96936c4893f8655adf1fdda25697756d3125a23a 97e415d2528398cfe4e6be6b639e96e9304a7930 984d547292bab6afb51306bbfb5494cf27073d97 98e46e265bf136c0ded3582fbf24479f253cdefb 9a1545f5181617c482a8a8335c696a457dfa8f08 9a19534edd6ae84ba34eb1716d6c2ed0413fea8d 9a6d848213b6eec715c0d54fa06e0d61eab22bd1 9b2190186ea5974de9f91b985a8c7e7b3d07bb74 9b364054f1328bba2a1a05e3168c24c5674a6074 9b74dc95540557e77ec65b421ed99af46712b901 9c9bb51f24264281302ceef1982be5632b6f9926 9caadcfa0a4d4e056971b8bc61ef3e03c317b80a 9d45a035cd938fb9276bdf20aa9740e6495bf285 9d78a53989deb6fd80dfd6e471ef3bc82d675260 9e0f31556d668bce6db9a1ce087fc47fe32c1f6d 9ed64973011bde2cc638761de7b767a9f75b3cb1 9f4c4c1e093f2e417b706118e93ad66d0484c87b 9f51b3fc98f3df10ca88a3b9fb0e252e6c0b2a47 9fc18ce9ab43c8ec8aa3541c2ffe450721a9ad0c 9ff58880aede1727fdd459e835f1f0241a9f35a3 a0865c1bc837f874b745b8bfffdad8418786701a a208ec5e80a6b56b1da8b3a63623569ea576bce2 a23bbf667bde8b693aa680b9b1cf9b4ed911fcae a2b3c19d2e2f802ace5d6be188d6ee411cee813b a5dd71b8b0193463db2b3e31d8f90ee001aa2565 a766f521e2dbeaaa4521c2f1d355f50212337730 a85bda9f6763eb10801df51cc30bf2f72e513e97 a9181bfea631e2b8ae669813b28a4c3c0a267956 a96b2804b3009b27c5c54acf09ee71ee7dae5be7 a9ccf0ae84fdac155b808c0e16b6049cf117abf8 aa2315ed91685bb31ebca2ee7f422c47eaff2ddb aa62904bd2c1b2432b9b3d4b9828ec1762fff33b aac28e8ee1c448382c620f2e7a974824832cadc2 aadce3ccdec7573cf7bc57cc4909c41e935eede4 abb17a6ba3414314c153a87d8cc1db0c89787ede ac161f91798d06c26a3a34570f12082a815436c6 ac1733c448819ef3990854b188d77ef114c291f1 ac68ec68ea3c23b9fb433630a1244eae6df6faf9 adbb24f771b5accf49620b0da21f19c7f1a27d1e adf09d8d66faea7b64f37f107b0cf39214dab585 afacebbea7962ef7381300fb68fb5b8e9fb8ba2f b0831d0f5f2477786bfdc9592829704219ed67cb b159a5ff6569550de6cbd046f02d0303ff8ac686 b494e03325c0c75605e5edea94d9eaec22e04967 b4e0ee29a363bb4bd439084cc9208db3cb12205c b514dc6194e0c66ec30d050f633a67aee45f8857 b57945babcaf7ae322e6d2e9185cefc69a0b5ce7 b5c07daaef48487ac1b632fc92cc01d1129c3cae b64505a0cb0e4dc5ebe8c44fc7c7788afc16a0c9 b68510d0103ea00845ac169951430ea78cd0fd85 b8412675bea1c90884df9d29fad54fb8b3dd2621 b8e184505af10848f356574bbd0d9b34012648d7 b9c3acb729357081c0002b67237b5df8efa9877b baa98ff99ef667f50ec4e0f548aefeada7ae0a6b bb6cf5d9605a495e736a5f07bac5e2f1ce5f7968 bc4798e40147156bdcb81f67640cdafbe035760f bc47b27b48c827e13305194ac21232ff35b0061c bc8b8ab98464284ddf7277f746d998dcf4ae94ac bd34359db76eb97247e41f8c067c79a67a4de349 bdee414dc6714cf7cd43d92ddff63fce18f4bdbe beb0b3ebb6572d8dbeb84afb296815173f2f04d4 beb6b25d4d637d5f29e5abcfafbd3612bceb481b bf63bfaee30990506bacf44e513efd47195a3d1e bf83f964872cca58a1751ddf0afa4bcc495a5994 bfcaaf17325b5de87963b741adeda6fc0fa05964 c05f7030d4b1c4c5c77c2de115ea639a235caf2c c0753ac9c75ef4a05ff1c78f72d3c3e820b18c7f c0b662703fd240ffdfc3dfbb547a693aff3fe958 c0f483ee97bd92e06963ebee0869c6c0f0afb676 c12ab924ac887870ef66779b6de5d2d49e06d9d5 c15a3b039ae00fb110bf662c88a8d63d904ef418 c1896c50ee2a079fa2183d836ae6ad604294825f c1d2edb1cf1843b97248904d24f949f293650b95 c2015743b17aaf0373db500a55d0f9c9b6d52cea c22367b1db104a6f89316fc108839564c8dd7759 c25328fdcb5c2f509235d4f76052a0cd0ddf8504 c2f6f5e158eb8e57d22ff079e22e51114b0a4edf c4c675be82470b9c0ce36316684cf027ce50272f c5133a52801cd6571641d73fb8a6969717c69e86 c5b8c85e483402ecd2266a861fe428e425810081 c61fb4004edf5c493b47d7c8202ec13563551de8 c73a4969706a223b1de8d70183a6b44fb1b77831 c846e6833d4c9be5d98d16f63fca6dcd6e636d20 c8947133c88c8a9ee5df3bcd7f6a49ed542b3faf c8b92233c3e777d1bd8c60d8038665269e5e6832 ca4136b5f588ac5b053cd4558971250ddf10d7a6 cacfaa68ea475c2a5a0f514156fa50ce38384054 cb1d76156bf6441ea709e7ca09b1faf93ba5fc79 cb90203a4adf9ce8498e10703d83ef712e5bb7f8 cc7da8c688cc2c169996ba860ad9bb44717e4c30 cc945390dfe987fc1823a3ca842b1863459d4662 cd0c6deb4ca8fe7af87887870be9edcb6aba3dbf cd0fe1ffa1edabb445dd4f8d8f563ad9248840d6 cd24594aef4ceffcea2493d7ff8a97398ff0ed32 cdcbacfd0e7c03446fd8e92ffa9fac5b905c76bc cf14ec070f302f8c7149ed52bf39d3fd3788b6a9 cfcd46479cebd8d480450ae4f10cd026e02c5d8d d073415e2bc034128564ada71a0d7163f2c99d4f d096e7eb01c094338b6e10be439f700447a34fcc d0cc9d00cfaf9d273d7514143411dd190ec53fb9 d0e07150f1041e07fe183a85adea2835d9a15c8f d189573d79f904394ac2b1648fc045f5d9b4ee53 d19c84416bf481f7ca6552b6484a42458fca7cb0 d1b0e173170b8d7b972ab82aa4498874dad6100d d210731299664610ae4f0d28189635fffe301279 d291faf131486bc7ca81cac17e95c05841a22745 d5af00199b23a4131d151a59f826c69842503806 d675d1a798884103db8fc6255c5412f656636047 d6d8251081981eebe507a1251a3d1c7b68029572 d775e98cdc889b26d2e2f2389cd70ee497c20480 d7b4e61caa316ab103e5bbc7b760ed86f5d7a4aa d7fd50cbdbe82dd09cfe6545bab5332d2831063b d81d4cc47cce36ff89fa5773a13d59a59d28418d d862c44895424da0c05229b047450879e9db1ea1 d89833984ac9b2fbe382955b2fb2a6c5548b965a d89a356aada48aa8067f9543b2577c9af5c54e5d d8c8d6c51781f9e11a142c38eceea6c50821eea9 d99956fdcc87ddec12b648f3f564ef7de3a0dead da65191f84f3d568e2f23591d61aeb7222a6e040 da6a66e6b74365bc7ee97009a290a0923f3ce44f dba8a96db9262b04d62fcf3c4ed6714288eaea40 dbe823756b5fb55e6911dd61156f6ead0d75358c dcadb99da14019490c9749f69049fca62a6ff42d dcd475381689d9b4b7c52c67f0c96beef9aa19fe dd06f86d153cfcde576b1284b1975a816609bce5 dd4046f1d8d1135e28335a4094aa54166b32dbbf de58208d1195de7e1547a7973deea27853adb9e6 de9bde6524c9584f00c7b0b117b8446018955bc1 df1349ef57b19376c3971db487beb5d0bced341c df30ed4236917dfd97205a66f2326f385a678e57 df322df198761049c8b5309363a0dc17ddea9da6 e033e1cf112ea840721b4f3435f3d9ec8c66bb05 e1fa4f4ca1020ca896de477a93ef2532ad77bd1d e1fa7160cda1a4280e2d12a0317b7f5869b767cd e20873884bf273ea9db05403d009318b1e7bcfe5 e2af046fc8b273bb45f922c0523a996da0a67033 e2f047085537db6d8b0829d39a191fd113284d1e e3ad2ad656b0508b2a9a268bd3a34f2ec127fe2a e4022129d732a88e6d37fedeabead12f60d1ea84 e4bb242c3eb64332596722319328b44cb5b6af26 e502ce4f1adac4e044242a984a106140028dfcc0 e52031d83227125b28fa420b3e41a6a815068079 e54afde2824afa331a6a6f7f4ac508a59dfd9779 e62f8d3ba056a5887fdfeeafd7b531fac5439aa2 e6426096ee9238846954a4eb21586dc9ecbd2831 e727171e48b3dbd43d136e617f005346e51340b5 e7316ff12e2fc6db0f4aa6c774d85b49f3aec456 e7b04713f2803f6be1d8ef84f97b551631f1cf37 e7e474b4aff9d74db94435997e4e77b4bcd73d33 e7fcff6c4434a1181345f2b8b21c0a922953c592 e82f9d6379208d9f49bfafc9cd02a09bf51d344f e9a2ae46e615f2a5896b270051188410416ccf57 eaca96b4775e48c90cd4393add855645ae3b3776 eb0a33387479b0f285ce7b4b9dcde16b0a4a590a eb7cd35aaf485b7de55c3df9a7121fde46bc4e1c ec9fdfbae6b7aad08bcb486f35fab4c6ae4c0f47 ecb050ab6fd5158900903fc0cfe683c0fe69fe45 ed2127a9c46a6d28792d351c8adc93aa84c27be2 ed323fe5bcbf659c4edcff8fa238d905265cc5df ed789328e16431279ff63d3468787aa29434cac3 eda52ce0042d6b415b33803639e2f8212a5567f6 ee2668bc77b3914bf92593fed1a14c0ad71c7518 ee85f2962f7a004134d22680ff7e17187d5898d3 ef7cac42240f017d2660ead5eea77aeac1aa88d6 ef97948ecddd110f18fcae33d622fffec422c401 efa66cc1b05cc23a5a61979d151e3ba300e264f4 f04f6c77217401bede9fae19f65d24bf4ad5f00c f057abe5058299ceccd09b2e1d5bab59d062cb70 f0743ae193f66d6100c2de21d959ac7899cdf922 f0b5c999ac0abcc7aa23d9a6649610da36a0291c f1c69c4101ffe9cbb660a46966d1376368bcc5a8 f304d5069becd5d36491a9507a7448c1e60e1243 f30bbd0d3b79e41e5f39dfed46a2e2f67717b50d f47ffe365560146b73c1296cfb99bf955aa82ddd f4ddf0551e3f9b7faa6a4562a35b05cb4edf9d67 f51e67ee31fca4eea26e51378b32006db3c2e7bb f66d3bc3b9f379b24cc63ced6308a9f8a814eb6c f6c32c3afa37532a16fb285140c0505cb04218ee f7e8c7eb75dc6141f44ef9f5b8d8145b6e076b0a f895d5c582693840e4a8ee5af197a22c0bfc3bee f8c711e29bd611d7ec9ae36f0f55ddac3e897963 f8d8c61a7ceea8a6458304d6ec69b38079d5d3a1 fad6372f1991a55070a84fea0d75a5f0f3635ba7 fb4caa7a9065bb7e6eef8c0bdd121c9b879723c3 fc39faac28403ac493980a9f9b6bba8b7d4d553b fd19290a67fed0bd4d7ea1f08fb885fb1840e9ad fd58e62008ce77b27565ce2cc0e4b6017a386b02 fd7e5073b90f1c39a919f7f1f57ed9696c2c4a8a fd99a921534c28fcffcd74ae3cf4293e35235f98 fde8e4af0c1604279af56f74dd8c78b7cda521d0 fe315464ca08bf1bb33c7ba367f8d8234e753ac9 ff80e534e6d97ae0462f3d98f022bdbadcd079c7 ffcf8e435ae9081a498657be9d6c0232710d66ce ffe0688880827a40ec8594569d424b6bb6f52337 Package: afni-dev Source: afni Version: 16.2.07~dfsg.1-5~nd16.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 24243 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.1-5~nd16.10+1_amd64.deb Size: 4214396 SHA256: dd2a2316ca29494ef83b152ba69e6afa666a03f892f9e2948ac5ce9f147bc525 SHA1: 9dd8964663ae7a9a7e7c3df600562e8e0ca4e286 MD5sum: 15636b2fb27976b2402db250bcfeb740 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-eeglab11 Source: eeglab11 Version: 11.0.0.0~b~dfsg.1-1~nd70+1+nd90+1+nd16.10+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~nd70+1+nd90+1+nd16.10+1_all.deb Size: 11031900 SHA256: 0b4482f2c499c8dac6f263550c621f1af6a8e69d35a5208102a1551557b6c4ff SHA1: 9347dbbf67def555da19ba243dc6e735b6c40d97 MD5sum: e6af513262eb87e128f47263af940e11 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-gdf Source: libgdf Version: 0.1.2-2~nd70+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 151 Depends: neurodebian-popularity-contest, libgdf-dev (>= 0.1.2-2~nd70+1+nd90+1+nd16.10+1), matlab-support Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: contrib/science Filename: pool/contrib/libg/libgdf/matlab-gdf_0.1.2-2~nd70+1+nd90+1+nd16.10+1_all.deb Size: 20788 SHA256: 5a15551e7772844daea7ee0568a11d334462288171a1a4b73b14d05199ce1851 SHA1: a602556df77e860b0a4514dad016afa3158b0101 MD5sum: 0a9425fdaf8acbc75977f9f0860054fa Description: IO library for the GDF -- Matlab interface GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package builds Matlab bindings for GDF at installation time. Note that this package depends on Matlab -- a commercial software that needs to be obtain and installed separately. Package: matlab-spm8 Source: spm8 Version: 8.5236~dfsg.1-1~nd70+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1218 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.5236~dfsg.1-1~nd70+1+nd90+1+nd16.10+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.5236~dfsg.1-1~nd70+1+nd90+1+nd16.10+1_all.deb Size: 171236 SHA256: 98f728087f042e8b6114a087c23e72f3a41370f873a2cdfccb9803fc67356681 SHA1: e96876da4268cd28247e1a23245bff0758480ea4 MD5sum: a49e49837624e9feaa438565c715ec23 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. Package: matlab-support Version: 0.0.21~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 31608 SHA256: ce4cfaa6bf7fab552606dd29260fb8799dbdcb2fbb6920dbdb48ebfb54060e6d SHA1: f43949c03a242a56aa6a2fbabc7b373981d651d4 MD5sum: b2380c652d9924a851659ec22e5ade12 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: amd64 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_amd64.deb Size: 297890076 SHA256: 1ee0179eec020656ad03e46d88b0ee7eda27b80419dc100c6d9d6ee592d03081 SHA1: 9096a59d29eb05af2f35840286ab2b3c33e4d3d8 MD5sum: 84ffbb693622b5e85621522198689d57 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. Package: pycharm-community-sloppy-dbgsym Source: pycharm-community-sloppy Version: 2017.2.3-1~ndall Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: Yaroslav Halchenko Installed-Size: 12269 Depends: pycharm-community-sloppy (= 2017.2.3-1~ndall) Homepage: https://www.jetbrains.com/pycharm Priority: extra Section: contrib/debug Filename: pool/contrib/p/pycharm-community-sloppy/pycharm-community-sloppy-dbgsym_2017.2.3-1~ndall_amd64.deb Size: 2260976 SHA256: fe6272ee28f1750eaeb879ebacceaa591f9a9a3b6dd9bb8ef508f15ebfc9e243 SHA1: e99494c69103421b78245d0473811a9ce91d680a MD5sum: 8a88424e9b1a64b4397bb915e57ec459 Description: Debug symbols for pycharm-community-sloppy Build-Ids: 01f486724a2b2c0731d3da03baf9620d7fa3e0b6 0214b963c1ca65c49fc5e7197292a05cb2d03fa4 0762f1f314c22961989632af193316f78f03f66f 0a89f378bcee7de2dace8a6eabfe0e9a190c5ab1 0b8761fccafa5fa5a14d26359dece4d467b94bc0 0cd153f8fa9dc47b285eda77d74bf2dbe7dc62b7 11f96a903bda6dcf8db2c632076d984f4b34cb0e 1868e2e354a7f08e8404a8baa23002ebe14234fb 214d0487a9a605743ea577af5aff55942db25d71 22b0759f10d55c7e26d29a14492e11f5ef18ef34 2b2e4ee95aec65cff91b7d71af3fdde6c0b9a7ff 2f5e445283dae7d61743bc5e08531432627d9cba 349e9b8069d44bea923c4c7f728e24443501a05d 3e4e1efaa82f453b2c198d01602ef1e5d913a00a 413294a4063d9254fc53da95b63a3f6476773af6 4176fa9d5a2d851af37fbada1638f26a9ee0aada 481a45241fc30dd6a4409d6d6034579e2bfd98a8 4b7e1c8799dbe9cbbc668dfb273227f09629485d 4efd3ecaf46d5de74636e1e3f04ea1121bb4f194 5e29b01c40ace080f44ca6810fb73b9b4cedc970 67ae7e52f34fcb0621ba3937e4288b314676bae2 6c7f9241b0942896ff8898d5cc34ff8dc84f0235 6ccc063fd5a069ddf905d21b1a3235a96e43866d 6d87d1dfddf00bb71c3b87b80ee3cea5b0c8832b 74d233b22558825bcfe5c232e3b54b97e3f22657 7586b16c56f077f6e51277be77831ba8a15df645 77b472a09840bdb1d48d2b7ba525fc9a8bcffead 7b74d314f7fd079300444886a6d9347855580111 7f208a59f0556e8de55e90787256d6ed60431f74 80471f36ec0145077b80612be3c63d8e3e60a40b 852983c39838b02a69a49fa9142a8b68128e176e 8593af639077833cc0b722469557b92cd51d78dd 8593af639077833cc0b722469557b92cd51d78dd 92b398e038962a1bffb3e83657691d10ba65482c a295e70aa5b17d0eed35800188bf9f4b459db1f7 a61c13f5fc9e7ea04615bad7a22d95354cce1b08 a7612d336a525ef17252025ee1f82dfdabf5957b adc8deece73f9a55c89c2d2b8d8b9aa3271a029a b346cde7d3a5238c621c0c24d310a5970ec1a7a1 b83f109a6b80bd56120e4bf8f8b7f5d1eb7b1bc8 b8528d5040a49f5ccac22f642e20d28d26eb895d b98f3151778ed1357acb2da19ce892a9b55f9a8b bfc94b82bd5a186078d8ccf34998fd5834281b29 c4737f3a7226086ee8af694720fbcbcf459d6a1e c8659e197e3a06f0e13288c075d9e1eee4e43653 c8f69f4ff062e25fb7a46d705ff8ca0155323838 cb77f1553fefcecb1721287e3950d99532fafb50 cb8cc6cae9c7d1f5f03d0f562583f11b73e7c45e d09d6fc836ffa873a08be897a9501a2c0af644e7 d25029fa5673d86077ee441a6430c0d4fadfebf8 d4bc9e60590fdeedb3ef846af9bfdfb7765977c2 d721e8885a5107fba7d74dba804f7706bee32e3d dc21e0cac157d5e8ffd91e3e0ccc9cd0c4b4da24 e6a8633972c92254569a514de664aafa48f65ef7 e97770c27f0853ca3aa160eba8d4809c2584369e ea1e5903f64fa39ad51276402909802ccdeaee45 ed039021f988cdc7377cb4f65a5df1275813680b ee52017c1c71b322e152cb3c68e5036836a79fe7 f5a7d17a83ba3da2b17092e6538077174c2fbd4b f7d194e28877051dac2b1c7404322508c1324d60 fbbbbeed44b9c1f1cb1a26614c3c3280f3082213 fde7feafbf78b3be34f4d7589a5ace94a2416733