sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
0875b19fa1dfbab200d4a622d00f9a0f7ea946cfce99b81260dfbffc12c8a05f | Stata | 305 | 17 | onbreak {quit -force}
onerror {quit -force}
asim -t 1ps +access +r +m+ila_0 -L xilinx_vip -L xil_defaultlib -L xpm -L xilinx_vip -L unisims_ver -L unimacro_ver -L secureip -O5 xil_defaultlib.ila_0 xil_defaultlib.glbl
do {wave.do}
view wave
view structure
do {ila_0.udo}
run -all
endsim
quit -force
|
1474e9406a0fe06a7d5e0788846a1c405f60814187ffb1558c2a9570933b2f30 | Stata | 305 | 1 | vopt -64 +acc -l elaborate.log -L xilinx_vip -L xil_defaultlib -L xpm -L smartconnect_v1_0 -L axi_protocol_checker_v2_0_3 -L axi_vip_v1_1_3 -L processing_system7_vip_v1_0_5 -L xilinx_vip -L unisims_ver -L unimacro_ver -L secureip -work xil_defaultlib xil_defaultlib.ila_0 xil_defaultlib.glbl -o ila_0_opt
|
3b8d0717b09b020a50ca65917c3b1e99dd080ff21e66d8f685b5e637bfe75e50 | Stata | 308 | 14 | vlib work
vlib msim
vlib msim/xil_defaultlib
vmap xil_defaultlib msim/xil_defaultlib
vlog -work xil_defaultlib -64 \
"../../../../project_1_base.srcs/sources_1/ip/clk_wiz_0/clk_wiz_0_clk_wiz.v" \
"../../../../project_1_base.srcs/sources_1/ip/clk_wiz_0/clk_wiz_0.v" \
vlog -work xil_defaultlib "glbl.v"
|
83a232a00e873af87effd30242ee66ae46b17c031488f1a928445e937dc78b81 | Stata | 314 | 14 | vlib work
vlib msim
vlib msim/xil_defaultlib
vmap xil_defaultlib msim/xil_defaultlib
vlog -work xil_defaultlib -64 -incr \
"../../../../project_1_base.srcs/sources_1/ip/clk_wiz_0/clk_wiz_0_clk_wiz.v" \
"../../../../project_1_base.srcs/sources_1/ip/clk_wiz_0/clk_wiz_0.v" \
vlog -work xil_defaultlib "glbl.v"
|
4983f8cde761297a8164ad7ec25d27fe3ac9fd611e3b99ec72ee2e03798a5c4a | Stata | 315 | 16 | onbreak {quit -f}
onerror {quit -f}
vsim -voptargs="+acc" -t 1ps -L xilinx_vip -L xil_defaultlib -L xpm -L xilinx_vip -L unisims_ver -L unimacro_ver -L secureip -lib xil_defaultlib xil_defaultlib.ila_0 xil_defaultlib.glbl
do {wave.do}
view wave
view structure
view signals
do {ila_0.udo}
run -all
quit -force
|
3421af5ebb08a8fc0ec4ee08c857119352e4b45ec12c1eb040145a2904c85cb4 | Stata | 347 | 16 | onbreak {quit -f}
onerror {quit -f}
vsim -voptargs="+acc" -t 1ps -pli "C:/Xilinx/Vivado/2015.4/lib/win64.o/libxil_vsim.dll" -L unisims_ver -L unimacro_ver -L secureip -L xil_defaultlib -lib xil_defaultlib xil_defaultlib.clk_wiz_0 xil_defaultlib.glbl
do {wave.do}
view wave
view structure
view signals
do {clk_wiz_0.u... |
b90ccfcc93317dbfa223ec498927b3c95dc3cd2ae00d9b081adc0049bfcbc2fc | Stata | 627 | 1 | vopt -64 +acc -l elaborate.log -L xilinx_vip -L xil_defaultlib -L xpm -L axi_infrastructure_v1_1_0 -L smartconnect_v1_0 -L axi_protocol_checker_v2_0_3 -L axi_vip_v1_1_3 -L processing_system7_vip_v1_0_5 -L lib_cdc_v1_0_2 -L proc_sys_reset_v5_0_12 -L generic_baseblocks_v2_1_0 -L fifo_generator_v13_2_2 -L axi_data_fifo_v2... |
aec8ce543f95e71be9c751bf6d852f6c03e163476a847d1080512114a11c77a7 | Stata | 628 | 17 | onbreak {quit -force}
onerror {quit -force}
asim -t 1ps +access +r +m+system -L xilinx_vip -L xil_defaultlib -L xpm -L axi_infrastructure_v1_1_0 -L smartconnect_v1_0 -L axi_protocol_checker_v2_0_3 -L axi_vip_v1_1_3 -L processing_system7_vip_v1_0_5 -L lib_cdc_v1_0_2 -L proc_sys_reset_v5_0_12 -L generic_baseblocks_v2_1_... |
d7af034f6ed4e28d66ef5b6e51e31faf9b64924c902d378a82bb9f01f813a986 | Stata | 637 | 16 | onbreak {quit -f}
onerror {quit -f}
vsim -voptargs="+acc" -t 1ps -L xilinx_vip -L xil_defaultlib -L xpm -L axi_infrastructure_v1_1_0 -L smartconnect_v1_0 -L axi_protocol_checker_v2_0_3 -L axi_vip_v1_1_3 -L processing_system7_vip_v1_0_5 -L lib_cdc_v1_0_2 -L proc_sys_reset_v5_0_12 -L generic_baseblocks_v2_1_0 -L fifo_ge... |
18d203b5c674481176049a51af5b39fb33c5aa6f88d9f7691c5950a1706334f3 | Stata | 1,798 | 36 | vlib work
vlib riviera
vlib riviera/xilinx_vip
vlib riviera/xil_defaultlib
vlib riviera/xpm
vmap xilinx_vip riviera/xilinx_vip
vmap xil_defaultlib riviera/xil_defaultlib
vmap xpm riviera/xpm
vlog -work xilinx_vip -sv2k12 "+incdir+../../../ip/ila_0/hdl/verilog" "+incdir+C:/Xilinx/Vivado/2018.2/data/xilinx_vip/includ... |
353c640c893d898cacf3e19204e08579859da409cddc5670e6966f1a9d543c06 | Stata | 1,812 | 36 | vlib work
vlib activehdl
vlib activehdl/xilinx_vip
vlib activehdl/xil_defaultlib
vlib activehdl/xpm
vmap xilinx_vip activehdl/xilinx_vip
vmap xil_defaultlib activehdl/xil_defaultlib
vmap xpm activehdl/xpm
vlog -work xilinx_vip -sv2k12 "+incdir+../../../ip/ila_0/hdl/verilog" "+incdir+C:/Xilinx/Vivado/2018.2/data/xil... |
e2c686f191c6dc918f2552ad37daa6d5872ae451aba3bb69f5db81ef2acec0b5 | Stata | 2,098 | 36 | vlib questa_lib/work
vlib questa_lib/msim
vlib questa_lib/msim/xilinx_vip
vlib questa_lib/msim/xil_defaultlib
vlib questa_lib/msim/xpm
vmap xilinx_vip questa_lib/msim/xilinx_vip
vmap xil_defaultlib questa_lib/msim/xil_defaultlib
vmap xpm questa_lib/msim/xpm
vlog -work xilinx_vip -64 -sv -L smartconnect_v1_0 -L axi_p... |
7382f0d0acbbc4e46e97d89b6e0441dd031b593aa1cb9140d0edd0a413561428 | Stata | 2,132 | 36 | vlib modelsim_lib/work
vlib modelsim_lib/msim
vlib modelsim_lib/msim/xilinx_vip
vlib modelsim_lib/msim/xil_defaultlib
vlib modelsim_lib/msim/xpm
vmap xilinx_vip modelsim_lib/msim/xilinx_vip
vmap xil_defaultlib modelsim_lib/msim/xil_defaultlib
vmap xpm modelsim_lib/msim/xpm
vlog -work xilinx_vip -64 -incr -sv -L smar... |
245859402365afd7d33d3347718ba35c874f2c0be17e14157148bb83c7448a7e | Stata | 14,661 | 114 | vlib work
vlib riviera
vlib riviera/xilinx_vip
vlib riviera/xil_defaultlib
vlib riviera/xpm
vlib riviera/axi_infrastructure_v1_1_0
vlib riviera/smartconnect_v1_0
vlib riviera/axi_protocol_checker_v2_0_3
vlib riviera/axi_vip_v1_1_3
vlib riviera/processing_system7_vip_v1_0_5
vlib riviera/lib_cdc_v1_0_2
vlib riviera/proc... |
242841d3dc8f639afbfcbba6885239ca8bdc651bd0967d1df33bfb82f9870679 | Stata | 14,723 | 114 | vlib work
vlib activehdl
vlib activehdl/xilinx_vip
vlib activehdl/xil_defaultlib
vlib activehdl/xpm
vlib activehdl/axi_infrastructure_v1_1_0
vlib activehdl/smartconnect_v1_0
vlib activehdl/axi_protocol_checker_v2_0_3
vlib activehdl/axi_vip_v1_1_3
vlib activehdl/processing_system7_vip_v1_0_5
vlib activehdl/lib_cdc_v1_0... |
c3a74837e4a4899b6720aea9624ac3f4b17de91477c82f61af8381dad87142cd | Stata | 15,606 | 114 | vlib questa_lib/work
vlib questa_lib/msim
vlib questa_lib/msim/xilinx_vip
vlib questa_lib/msim/xil_defaultlib
vlib questa_lib/msim/xpm
vlib questa_lib/msim/axi_infrastructure_v1_1_0
vlib questa_lib/msim/smartconnect_v1_0
vlib questa_lib/msim/axi_protocol_checker_v2_0_3
vlib questa_lib/msim/axi_vip_v1_1_3
vlib questa_l... |
529666b5176194e0126741b947958961ebe7c2dbdbde15672569f3cfe146f67d | Stata | 15,766 | 114 | vlib modelsim_lib/work
vlib modelsim_lib/msim
vlib modelsim_lib/msim/xilinx_vip
vlib modelsim_lib/msim/xil_defaultlib
vlib modelsim_lib/msim/xpm
vlib modelsim_lib/msim/axi_infrastructure_v1_1_0
vlib modelsim_lib/msim/smartconnect_v1_0
vlib modelsim_lib/msim/axi_protocol_checker_v2_0_3
vlib modelsim_lib/msim/axi_vip_v1... |
d2b6c11acd87b8e70e42ce5afa052b3075b7e0d45e150adc0079d6bfde3dabb3 | Text | 7 | 1 | niconn
|
470cf868570e3290ee39c8d596c2e66bcae730019c75804076395ee227a315ba | Text | 8 | 1 | # Tools
|
57e7a2a251bcdda5a19931d8a1822fe3f680130334b349f461a6e66e887b2803 | Text | 13 | 1 | # LungHist700 |
6f572b4111cf61191e2dc8bf984e94c1be3da0a641001f48c7d38945dd0f2a88 | Text | 15 | 1 | # Cryptojacking |
3e651bbe3e50578de1d63ab7d5d692024daa2c8bbcf1b1ebc3a8cdc6162d86cd | Text | 18 | 1 | # 2024GliaContacts |
c70370a33c9e9b807ea29ce17eb1384c2fea2a062df335e79fe69b84d477c04d | Text | 18 | 1 | # WaveformAnalysis |
57071f93b0b21356b6ce70e493d7a636a2f8f1082f8ae1340ad39c82bae122b3 | Text | 24 | 2 | # FDANet
remote sensing
|
c65bd30fddd853cb1a08388bd8faab50cf412cc156e1e035733091c8ff55c6f7 | Text | 24 | 2 | # tinnitus_predictions
|
58ccdc3e7130dba2206abcec785e67d69e7081c8c1f84859f1624270894ad90b | Text | 26 | 1 | # familiarizationWithMusic |
ce840da52d2ccf88a180442c455b8fc4fe5841f10e766c508dfeb7bd9b74f2cf | Text | 26 | 1 | # Bernou2024 et al. eLife
|
1a9ef5303410a987ccaa6622d4929bc00854f757fa27e71ea8eb02b9f2040409 | Text | 27 | 1 | # AREND-Code-Implementation |
c8ebe5f0a053b697d04fd946e948205091eb6205e4dfa4195e57d3d3ad309eb7 | Text | 27 | 1 | # BrainQCNet_paper_results
|
9f8a6ef58b6dc32c6074782f7e25f289c1c7e68a300ea09d7cf95ee4fa580a76 | Text | 29 | 1 | # Probabilistic-Attention-Map |
d12e77b4513f1270da8d81c374599e0c8e822e8ce8239b348aa1753d8cca5833 | Text | 30 | 1 | # flexible_decision_making_rnn |
2c198602b85a74c8f207746cde77e7ef6216ccd5dd425a96c20a14a997bcb445 | Text | 32 | 1 | # Head-to-Head Blood Test Study
|
2cadf7ca85bd2e4e315b1f45a52ebf56145f7f6b04fe12847e7e6acdef20433b | Text | 38 | 2 | Cambridge cichlids
==================
|
1c0b4754c5bb1c9dc31f88d2b70e496aa0c001e52345d463d10eaf9f79a0ae34 | Text | 45 | 1 | # predicting-court-decisions-on-child-custody |
00b138e4f8b8a1c721546adb45ea66e14bd4287ff6b088a97940ee718ca679e1 | Text | 48 | 2 | # transcriptomics
basic transcriptomic analysis
|
718bdab0f2ac87d71e79b9b365516d09bf4aa549d64caf921d6413c0dde888f9 | Text | 51 | 2 | # Bibineyshvili_2024
Data and associated plot code
|
5d49581640c1c2d24909572264c0759576abc79f0947b83d36b01fcae33f98e2 | Text | 53 | 6 | # flexible_decision_making_rats
%%% DONE
Figure1c
|
80451fa72c6ed165cb1c256e98e14fac1596d86709d691e0aafaad1657c4a9ba | Text | 55 | 4 | python-scripts
==============
Utility Python scripts.
|
aa789c112801297e224005b73e97fd81bc82febd586a4373b5039188a5f46f38 | Text | 55 | 2 | # tau_mts
Visualization code for the tau map6 project.
|
e640af2673b6bfd8ebb27772b3dd67b24cd8c1f43fd1b46471cec43697bf91cd | Text | 56 | 2 | # SNLab_ephys
Code repository for internal lab sharing
|
3a400e1c841d7f1eac67f3a5135c465e0f3ad18e7043df04a000c29f7fde71cb | Text | 57 | 2 | # ZH2024
Simulation code accompanying Zhang et al., 2024
|
c72ef2703aa691731e85ac19cd32313b0247a8e0040f2bbc14e5f9c06b03d736 | Text | 61 | 1 | Please refer to the instructions on usage of the repository.
|
0154310067a480e5f69e70fbc5447df3d036e6ca7250daa42fd20ff49da60628 | Text | 62 | 2 | # surflay
Create surface and slice-based layouts of overlays.
|
5649df3db6c2ef59524a134f7ac7cc6c1f221fbcfe18b3bfd8803cc2053883cf | Text | 64 | 1 | The data analysed with this code is here: https://osf.io/3d9r2/
|
3ad3d4e60afb5a5073d51bd92f9c0cee64828d8d5c4f44c206530714de8ef0a5 | Text | 67 | 2 | # rootlets_hPCA
Rootlets Hierarchical Principal Component Analysis
|
a2705abf160e3ddf471fca7c7714ab0055fddca9aa99187360689b07ae2ef944 | Text | 78 | 2 | # Publication_scripts
Contains scripts developed and used for published work.
|
7cfcbbf35ca8d3f4a114012aa386303f0a6fdfa803c322f17f2885f0e5e2d8b4 | Text | 81 | 3 | # Bohm_et_al_2024
Raw data for Böhm & Judkewitz 2024 volumetric voltage imaging |
191e0bcaa210497dedc24a0c4dfa15c2980ac3ceacd53332dedaba71f069ceb6 | Text | 83 | 2 | # econometrics
Repositorio con implementacion de ecuaciones simultaneas en pytorch
|
83d2ec39472276bfc1865ae4b83e349315e1acc869e4cc4d10297e964c3d58c9 | Text | 85 | 2 | # CAIDE_APOE
Investigating the effect of CAIDE and APOE on AD in diverse populations
|
b401ea34433080a24f9dfee2a12a7a75a9ecb98162901f68d341f12f62e23348 | Text | 90 | 2 | # fragile-x-manuscript-2024
Data and code supporting Quiver Bioscience's 2024 manuscript
|
50a4161e49347931a3b7095fdac2e38dd485d5f3c965b3d32ca084bef1c4f639 | Text | 91 | 4 | polyssifier
===========
run a multitude of classifiers on your data and get an AUC report
|
9378f9c7696846de706d844f11b0205214cf1d7dc8b70f12d20256564d2e255a | Text | 96 | 2 | # WT_E13.5_AntPalate_scRNAseq_Ozekin
scRNA sequencing analysis workflow from Ozekin et al. 2023
|
98cd86bb2883e7176f0710fc490e12b010b597c5a76159db58bc26276797046a | Text | 103 | 3 | # ACSConv
Moved to https://github.com/HINTLab/ACSConv. This fork is only kept for link compatibility.
|
61c07c09dd75a6327aa282b7ddc1ff1bb711bb4b9a436ceac66ddab8aadd0a79 | Text | 104 | 2 |
GUAN et al.2022_PCCD note book 1 related to STAR methods PCCD (positive cell cluster detection) method
|
756aeb4e27d09abc77176ad4d73cbe997e0526b5e71ce2ee94c64ccd7e25dcf8 | Text | 109 | 2 | # brainnetcnnVis_pytorch
Pytorch implementation of BrainNetCNN (Kawahara et al. 2016) + visualization method
|
cf8c2fa99d06fb15e4a52484dfb75dc765984d9a4284088967896766fec44f5f | Text | 112 | 3 | # Alcohol_PRS
[](https://zenodo.org/doi/10.5281/zenodo.12773329)
|
67f20f3bf529180b147485a705036880f843f4d3ca04c1bf7b518359741e2dfa | Text | 113 | 2 | # BBBP_CLQ
A Transparent Machine Learning Model To Understand Drugs Permeability Through The Blood Brain Barrier
|
b8c38a828ae5e2454ecf2949ca5801505b3fbeb784f53aa00734a412e2d102c0 | Text | 113 | 2 | # prep-childmind-eeg
A basic preprocessing pipeline for the open-source EEG data from the Child Mind Institiute.
|
cef49c100ba3c9e561c3e6d94c4b7845a619e588da3b6e213c82e08cb0c8d176 | Text | 114 | 2 | # Planar_cell_polarity
Using lattice based agant modelling for studying planar cell polarity in epithelial cells
|
0993930f9efccc45422de71d77c525a5cbb823c7e35827de5a9b074891feab3e | Text | 115 | 3 | # EF_attention_first5years_metaanalysis
SourceData and R codes related to this meta-analysis can be accessed here. |
73b50a05ba48206c3c4925be613c3971ca1b4960fa2dc4e1154f17344eb855d6 | Text | 118 | 5 | OXASL - FSL based ASL pipeline
==============================
For documentation see <https://oxasl.readthedocs.io/>
|
d8c3c96ca2880e3ed485023e29944437a1bcf61ad0f88f65d65f6d91a8b6b04b | Text | 120 | 2 | # Cell_Segmentation_3D_2024
Segmentation of cells from 3D light sheet microscopy images, especially for 2024 T6SS paper
|
cdb8e4c5d05022f54276fc4653cad8303108daf08bd81edd37856cf2fef216a2 | Text | 123 | 1 | The bipolar disorder GWAS risk gene NEK4 modulates circadian fluctuations of murine emotional behaviors and synaptogenesis
|
ee23d0c5f3e65ba9305a9fa2d43b82213471f00b4a10206fd57c89923ca72363 | Text | 129 | 6 | polyssifier
===========
run a multitude of classifiers on your data and get an AUC report
https://ismav.github.com/polyssifier
|
3503d2ff5352ca197535fda7d6a7c18851c2203f700cea8fa9df678df2cdb97f | Text | 131 | 4 | # EF_neurodevelopmental_conditions_Meta_Analysis
This repository contains all customised R codes to conduct the meta-analysis.
|
0e91085be6fde8fc276afe9afb0a6ddf34a16ffae326d045cf183f17180b4fc8 | Text | 132 | 6 | # familiarizationWithMusic
Cite:
[](https://zenodo.org/badge/latestdoi/322676170)
|
8a15d0b6ba5273d8817c9a628344fa6daa7ebf73ed6c1a299222fbfc6b1d8642 | Text | 132 | 3 | # Alcohol_PRS
[](https://zenodo.org/doi/10.5281/zenodo.12773329)
|
2d0534853dbd13577853f25f3c86d3810bfc801c600306c88c1b2e39e2a6e548 | Text | 136 | 2 | # Phishing scam detector
Implementation of a research paper on detection of phishing scams on Ethereum transactions using Deep Learning
|
ee1f2defa40a3f32d77be9f4228d05043ef9ed979eaede1043ac9e7df90367b9 | Text | 136 | 2 | # demon
GA/aMC training of neural-network feedback-control protocol for Ising magnetization reversal (https://arxiv.org/abs/2211.10853)
|
114675ea6275667e60be3e20d573b2aef9688cf8e4f86f9df4425370f420bd60 | Text | 139 | 2 | # GATv2EPI
This project utilizes the GATv2 (Graph Attention Network version 2) framework to predict enhancer-promoter interactions (EPIs).
|
a2a102d727abbf64d45e4bf1d69e539b5879c740e2ceb0e82fab882846a532bf | Text | 141 | 2 | # code-for-SAA-dataprocessing
Codes and dataset for Huo and Xu et al. “Hierarchical behavior control by a single class of interneurons”.
|
b536fb154ed3060bf474acde90e2cf0c302a4ac407e28c3f459424b38522f8f0 | Text | 142 | 4 | # haussmeister
Handling 2-photon imaging and electrophysiology datasets in Python
[Documentation](https://neurodroid.github.io/haussmeister)
|
ff27185a631e42be449d2d39db2ece9007de7d732f61bec56e3061ee74cee49a | Text | 148 | 1 | Source code of models in the paper "Graph neural processes for molecules: an evaluation on docking scores and strategies to improve generalization". |
3df3c0bea2e35ca9bae0e3725d8402dfe233e119a97eb88eb2a6658301a6092c | Text | 151 | 1 | Scripts for the paper "Hierarchical annotation of eQTLs enables identification of genes with cell-type divergent regulation" by Przytycki and Pollard.
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ca5f8d0a2887af87e9a9fe3d2511b0df4ec08105c582b09c7ca2ee1c701fdfc5 | Text | 157 | 3 | # Spatiotemporal modeling reveals high resolution invasion states in glioblastoma
This repository includes code to reproduce core analyses in this project.
|
5c18b7555d9cf42612686ee55488e28c0a0a60700cc527d7e060df24e62d25e4 | Text | 160 | 8 | # Feynman diagrams for PDL topology
Python module to create Feynman diagrams for phase defect line (PDL)
topology using NetworkX.
## Authors
- Desmond Kabus
|
6a276a708dbf20066c5edcb258a71bba8d78d6d681244368fe38001a5bd96746 | Text | 161 | 4 | # CO-ML
Machine Learning-based Risk Assessment for Cancer Therapy-related Cardiac Dysfunction in 4,300 Longitudinal Oncology Patients

|
15fbbd870d7a4c511296c82ef232d21f3c6cef2621752fd0c947632e7ac8fe84 | Text | 167 | 3 | # Repository Moved
This project has been moved to [CoRAL](https://github.com/fungenomics/CoRAL.git). Please visit the new repository for the latest updates and code.
|
ca19ea89f8c5a9a5625765eed89e71745a2b057be1b890cd8420666ead7f955b | Text | 170 | 2 | # xyz-converter
Scripts for conversion between the local coordinate system for the pontine nuclei defined by Leergaard et al. 2000 and Waxholm Space for the SD rat brain
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39c2803e3d2302dd13c8e8634ec0e9d105da0758e025171a76f585c032d56b9c | Text | 175 | 8 | # SI_View
Viewer and analysis software for two-photon images acquired using ScanImage
Add to the Matlab path.
Type h_imstack3.
Have tested for MATLAB2014a, 2019a and 2021a
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5ce2038a6c3fac373b377c07fde991c839726f22a56568e3027cc7bd09b6e82d | Text | 176 | 6 | # Basolateral_amygdala_oscillations_enable_fear_learning_in_a_biophysical_model
This repository contains:
1) C++ code for running simulations
2) Matlab files to make figures
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ce15472c4303a8f23b1720efc578e9947f5255d150a6aec846ddc2684573bd09 | Text | 180 | 2 | # MGMT_analyses
Codes generated and used for the analyses found within "Relationship between glioblastoma location and MGMT promoter methylation percentage" (Sansone et al., 2024)
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8a224753edaddc823378ddb7ee54a53136c3326a68d18a808130984072be4059 | Text | 189 | 6 | # EEG Data Set
## Teiji Sawa, MD, PhD, Kyoto Prefectural University of Medicine
<p> July 1, 2024 </p>
<p> --------------------------------------------------------------------------</p>
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148aad11ffd853f665c3b98d024f2a75a3c5f53d2c866bc72eb1390156a10a15 | Text | 190 | 5 |
>Please note that Trinotate is no longer under active development or support as of March 2024.
# Trinotate
Visit our [wiki](https://github.com/Trinotate/Trinotate/wiki) for documentation.
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c70d618e5ffa7cc234cd0c01a648d9353bae57d0a9fbf5214c2a02598774410d | Text | 191 | 2 | # NRB_removal
This repository includes the code of the Neural Networks proposed in the the paper "Non-resonant background removal in broadband CARS microscopy using deep-learning algorithms"
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1383251d5115259fc6d6e3a7bcac1e0b007f3d9fd9f6875669af076a61e83c1e | Text | 193 | 2 | This dataset is available at AMP-PD Knowledge Platform (https://www.amp-pd.org/). The direct link is
https://app.terra.bio/#workspaces/amp-pd-public/AMP-PD-In-Terra (select "AMP PD Release 4")
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7c331f914f67b813cb5e076598667f2d49b25117e316cd270bf5300c9e8f4a56 | Text | 205 | 4 | # gerbil-vocal-dialects
Analysis and figure generation code for "Unsupervised discovery of family specific vocal usage in the Mongolian gerbil"
https://www.biorxiv.org/content/10.1101/2023.03.11.532197v1
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e6cb4ec6d3c44ae2d39a4e32992883c4f606140916a4d439074524215cbf608c | Text | 205 | 2 | KWS folder: it is training code for keywords spotting task, training_ADCquant_noise.py is main file.
NLP folder: it is training code for character prediction task. training_ADCquant_noise.py is main file. |
44015bff553853cb0fd918d2611c347d8f548d20b8b253c559187434323c0790 | Text | 213 | 2 | # network_adaptations_to_IPL_inhibition
code repository for self-written scripts to analyze fMRI-TMS data for the manuscript "Inhibition of the inferior parietal lobe triggers state-dependent network adaptations"
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a30fc37bf098b10af56544583af47906e80ccda16b57d98eb490215ec08b0068 | Text | 216 | 2 | # Locomotor-and-gait-changes-in-the-LPS-model-of-neuroinflammation-
Data repository of "Locomotor and gait changes in the LPS model of neuroinflammation are correlated with inflammatory cytokines in blood and brain"
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c45ae0c7ab4d59dbc428aa9ad4f3a3eb165c9c5a3b8e52b17e783265dccf6190 | Text | 220 | 1 | Code for the analysis conducted in West et al, (Preprint). "Wide-field calcium imaging of cortical activation and functional connectivity in externally- and internally-driven locomotion." DOI: 10.1101/2023.04.10.536261
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369d98c1eb198543399d94f8db0c57c29c3a733f3d4435d86d4d6e9ee4f33e1d | Text | 223 | 4 | # ALD_hyperparameters
Code for the paper "Regularizing hyperparameters of interacting neural signals in the mouse cortex reflect states of arousal"
Data on Zenodo: 10.5281/zenodo.13343522
Code author: dmitry@benuccilab.net
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249596b512e922edd9399388702dac4510f18041c2f66a9be627d226b98f1d32 | Text | 225 | 4 | # README
This repository includes the code for "Single-cell somatic copy number variants in brain using different amplification methods and reference genomes" paper.
* Description of the scripts: [README](scripts/README.md)
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11d7ef2b892f8f54f0c23531777b5af358aeb72566204ce130c7ac83a95da714 | Text | 226 | 2 | # LC_VTA_Reward_Valence
Code for the study: Exploring distinct and joint contributions of the Locus Coeruleus and the Substantia Nigra/Ventral Tegmental Area complex to reward and valence processing using high-resolution fMRI
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dd6a2a01992c4cdeafaba61908b28e6715eefa853791816da4df7fef7ea05e95 | Text | 227 | 3 | # infant_rCBF_dynamics
This repository provides relevant code for our article titled "Spatiotemporal cerebral blood flow dynamics underlies emergence of the limbic-sensorimotor-association cortical gradient in human infancy". |
b22568c59925620476ebab5e1da6c05edd820b85cf946a00f5e1966b28ee4523 | Text | 229 | 7 | # Lines_et_al_eLife
Data from Lines et al eLife, "A spatial threshold for astrocyte calcium surge"
Datas include results from in vivo calcium imaging of astrcyte subcellular domains and somatic events.
Data is in Excel format. |
fa7ccdd3a44545b38d8ca5f616a485418cf94c41de0c371d328f2059ba0d183a | Text | 229 | 4 | "# Weng_eLife_2024_scripts" <br>
"# scripts for the paper: A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use (https://doi.org/10.7554/eLife.97150.2)
"
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482fa9edde42b4d794188d5f39fe83fc4cff6aa7e8ecdab290a132e8dbeb1047 | Text | 231 | 6 | # Random Realizations
This repo contains the source code for a quarto blog called Random Realizations.
The blog was originally created using fastpages (based on jekyl),
and housed at [mcb00/blog](https://github.com/mcb00/blog).
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dae2433e275d87ec9811e727c63915fe5f2d85fd92d4fab23a8f7d5aac9d1f63 | Text | 234 | 3 | TCRscape - a tool for simultaneous multimodal gene expression and clonotype analysis of single T-cells profiled via the BD Rhapsody system.

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bbab9faf14ade087b010c21d81a39af5eb91ef4ee01bdee1c07934b2c9826758 | Text | 240 | 7 | # mGluDimer
01.MDSimSystems:
The input structure and parameter files for all-atom MD simulation.
02.CleanedTrajs:
The template pdb file (proteinrc.pdb) and the linkage for the MD simulation data (https://doi.org/10.5281/zenodo.13293875).
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