OSCR

Brain network localization of anhedonia.

Code ↔ Paper

The paper beside its authors' code: matches between them have not been computed for this paper yet.

Paper

Loaded from Europe PMC by your browser; OSCR does not store it: doi.org · Europe PMC

The paper is loaded when this pane is shown.

The authors' code

MATLAB · 139 lines · 8.3 KB · no license

  1. %% µÚÒ»²½ ½«spm12¡¢dpabiºÍROI_ball_gen.mº¯Êý£¨ÓÃÀ´»­Ð¡Çò£©¼ÓÈ뵽·¾¶ÖУ¬Çå³ýËùÓл·¾³±äÁ¿
  2. % spm12¡¢dpabiºÍROI_ball_gen.mº¯Êý×Ô¼ºÌí¼Ó
  3. clear,clc
  4. %% µÚ¶þ²½ ¶Áȡÿ¸ö¶ÀÁ¢Ñо¿µÄ»ù±¾ÐÅÏ¢¼°Ì§Í·
  5. %Ò»°ãĬÈÏÎÒÃÇÏÂÔØÁËËùÓÐÄÉÈëÑо¿µÄPDFÎÄÏ×£¬Ã¿ÆªÎÄÏ×½¨Òé½á¹¹Îª P + ±àºÅ + ×÷Õß + ·¢±íÄê·Ý£¬ÀýÈçµÚһƪÎÄÏ×ΪP01Li2017
  6. %Èç¹ûûÓÐÏÂÔØÈ«ËùÓеÄPDFÎÄÏ×£¬È±Ê§µÄÎÄÏ׿ÉÒÔ×Ô¼ºÊÖ¶¯´´½¨Ò»¸öËæÒâµÄPDFÎļþ£¬ÎÒÃÇÕâÀïÖ»ÊÇÐèÒª¶Áȡÿ¸öÎÄÏ׵Ļù±¾ÐÅÏ¢¼°Ì§Í·
  7. path = 'C:\Users\HP\Desktop\FCNM';%·¾¶ÐèÒªÐ޸ģ¬ÕâÀïΪÎÒÃÇÕâ¸öÏîÄ¿µÄËùÓÐÎļþ´æ·ÅµÄÖ÷Îļþ¼Ð·¾¶£¬ÀýÈç¡®¼²²¡_Network_Mapping¡¯¼²²¡ÍøÂçÓ³É䣬°´ÕÕ×Ô¼ºµçÄÔÉϵÄλÖýøÐÐÐÞ¸Ä
  8. mkdir([path,filesep,'Articles_Included']);%н¨Articles_IncludedÎļþ¼Ð£¬½«ÄÉÈëµÄËùÓÐÑо¿µÄPDFÎļþ·ÅÔÚÀïÃæ
  9. Articles_path = [path,filesep,'Articles_Included'];
  10. File = dir(fullfile(Articles_path,'*.pdf'));%¶ÁÈ¡Articles_IncludedËùÓеÄPDFÎļþ£¬¼´ËùÓÐÑо¿£¬ºóÐø£¨end-4£©¼´ÎªµÃµ½³ý'.pdf'µÄÎļþÃû
  11. Filename ={File.name};
  12. [~,col]=size(Filename);
  13. %% µÚÈý²½ ǰһ²½¶ÁÈ¡ÐÅÏ¢ºó½¨Á¢ËùÓÐÎÄÕÂ×ø±êËùÐèÒªµÄexcel±í¸ñ£¬Ö®ºóÊÖ¶¯½«ËùÓÐÎÄÕ¶ÔӦ׸±êÌîÈë¶ÔÓ¦±í¸ñ
  14. mkdir([path,filesep,'Articles_Included_Excel']);%½¨Á¢Articles_Included_ExcelµÄÐÂÎļþ¼Ð
  15. cd([path,filesep,'Articles_Included_Excel']);%½øÈë¸ÃÎļþ¼Ð
  16. for i = 1:col%ÕâÀïÊǰÑÿ¸öÑо¿½¨Á¢ÁËÒ»¸öexcel±í¸ñ£¬ÐèÒªÖ®ºóÊÖ¶¯½«×ø±êÌîÈëµ½excelºó²¢ÇÒ±£´æ£¬ÔÚexcelÎĵµµÄDÁÐÈç¹ûÓÖ¶à¸öROI½á¹û¿ÉÒÔ½«±í¸ñÏÂÀ´×Ô¶¯Ìî³ä
  17. filename=char(Filename(i));
  18. xlswrite([filename(1:end-4),'.xlsx'],cellstr([filename(1:end-4),'_ROI01']),'sheet1','D1')
  19. end
  20. %% µÚËIJ½ ¸ù¾ÝÿƪÑо¿µÄROIÉú³ÉСÇò£¬²¢ÇÒ½«Í¬Ò»¸öÑо¿ÖеÄСÇòºÏ²¢
  21. [row,col]=size(Filename);
  22. for i = 1:col
  23. filename=char(Filename(i));
  24. radius_Seeds_Excel = [path,'\4mm_Seeds_Excel\'];%ÕâÀï×¢ÒâÒ»ÏÂÀûÓò»Í¬°ë¾¶Éú³ÉСÇò¼ÇµÃÐ޸İ뾶´óС£¬ÕâÀïÊÇ4mm
  25. mkdir([ radius_Seeds_Excel, filename(1:end-4)])%´´½¨Ã¿Ò»ÆªÎÄÕÂËùÐèÒªµÄÎļþ¼Ð
  26. cd ([radius_Seeds_Excel, filename(1:end-4)]);
  27. mkdir ROI_Seeds
  28. mkdir(['onesample_',filename(1:end-4)])
  29. mkdir(['zFC_',filename(1:end-4)])
  30. %»­Ã¿¸ö¶ÀÁ¢µÄROIСÇò
  31. [coord, ROIs]=xlsread([path,filesep,'Articles_Included_Excel',filesep,filename(1:end-4),'.xlsx']);%¶ÁÈ¡excelÎļþÀïÃæµÄ×ø±ê
  32. Reference_image_path = 'C:\Users\HP\Desktop\FCNM\Code';%ÕâÀï·¾¶ÐèÒªÐ޸쬻­ROIСÇòµÄʱºòÐèÒªÕÒÒ»¸ö²Î¿¼Îļþ£¬Õâ¸ö²Î¿¼ÎļþµÄ·Ö±æÂÊÒªºÍ·ÖÎöµÄËùÓб»ÊÔͼÏñµÄ·Ö±æÂÊÒªÒ»ÖÂ
  33. ROI_ball_gen(coord,ROIs,[Reference_image_path,filesep,'BrainMask_mm.nii'],4); %BrainMask_mm.niiΪ¶¨ÒåROI·Ö±æÂÊËùÐèͼÏñ£»4Ϊ¶¨ÒåСÇò°ë¾¶4mm£»
  34. %½«Ã¿Ò»ÆªÑо¿µÄ¶ÀÁ¢µÄROIСÇòºÏ²¢³É´óµÄÒ»¸ömask
  35. Combine_file={};
  36. for j = 1:length(ROIs)
  37. combine_file = [radius_Seeds_Excel,filename(1:end-4),'\',filename(1:end-4),'_ROI',num2str(j,'%02d'),'.nii,1'];
  38. Combine_file=[Combine_file;{combine_file}];
  39. end
  40. Combine_ROI=[];
  41. for k = 1:length(ROIs)
  42. combine_ROI=['i',int2str(k)];
  43. Combine_ROI=[Combine_ROI,'+',combine_ROI];
  44. Combine_ROIs=Combine_ROI(2:end);
  45. end
  46. jobs{1}.spm.util.imcalc.input = Combine_file;
  47. jobs{1}.spm.util.imcalc.output = [filename(1:end-4),'_Seeds'];
  48. jobs{1}.spm.util.imcalc.outdir = {[radius_Seeds_Excel,filename(1:end-4),'\ROI_Seeds']};
  49. jobs{1}.spm.util.imcalc.expression = Combine_ROIs;
  50. jobs{1}.spm.util.imcalc.var = struct('name', {}, 'value', {});
  51. jobs{1}.spm.util.imcalc.options.dmtx = 0;
  52. jobs{1}.spm.util.imcalc.options.mask = 0;
  53. jobs{1}.spm.util.imcalc.options.interp = 1;
  54. jobs{1}.spm.util.imcalc.options.dtype = 4;
  55. spm('defaults', 'FMRI')
  56. spm_jobman('run', jobs)
  57. clear jobs
  58. %ʹÓÃspmºÏ³ÉMask²¢ÃüÃû
  59. end
  60. %% µÚÎå²½ ¿ªÊ¼ÓÃdpabi¼ÆË㹦ÄÜÁ¬½Ó
  61. working_directory = 'E:\';%Ê×Ïȶ¨ÒåºÃËùÓб»ÊÔÔÚµÄ×ÜÎļþ¼ÐµÄλÖÃ
  62. %ÕâÀïÐèҪעÒ⣬ÎÒÃÇÐèÒª×Ô¼º´ò¿ªdpabiÈí¼þÊÖ¶¯ÉèÖÃÒ»¸ö²ÎÊýÎļþ£¬µÚÒ»²½Òªµ÷ÓÃÕâ¸ö²ÎÊý£¬ºóÃæµÄ¾Í²»ÓùÜÁË
  63. load('C:\Users\HP\Desktop\FCNM\dpabi.mat');%ÕÒµ½Õâ¸ömatÎļþ²¢ÇÒ¼ÓÔØ½øÈ¥
  64. for i = 1:col
  65. filename=char(Filename(i));
  66. Cfg.CalFC.ROIDef{1,1}=[radius_Seeds_Excel,filename(1:end-4),'\ROI_Seeds\',filename(1:end-4),'_Seeds.nii'];
  67. AutoDataProcessParameter = Cfg;
  68. WorkingDir = [];
  69. SubjectListFile = [];
  70. IsAllowGUI= [];
  71. [Error, AutoDataProcessParameter]=DPARSFA_run(AutoDataProcessParameter,WorkingDir,SubjectListFile,IsAllowGUI);%µ½ÕâÒ»²½Ó¦¸ÃÊÇ¿ªÊ¼¼ÆË㹦ÄÜÁ¬½ÓÁË
  72. file = dir([working_directory,filesep,'Results\','FC_',Cfg.StartingDirName,filesep,'zFC*']);
  73. for j = 1:length(file)
  74. movefile([working_directory,filesep,'Results\','FC_',Cfg.StartingDirName,filesep,file(j).name],...
  75. [radius_Seeds_Excel,filename(1:end-4),'\zFC_',filename(1:end-4)]);
  76. end
  77. rmdir([working_directory,filesep,'Masks'],'s');
  78. rmdir([working_directory,filesep,'Results'],'s');%°ÑÅܳöÀ´µÄ½á¹û¸´Öƹýºó¾Í¿ÉÒÔɾµôÁË
  79. movefile([radius_Seeds_Excel,filename(1:end-4),'\P*'],[radius_Seeds_Excel,filename(1:end-4),'\ROI_Seeds'])%ÕûÀíÒ»ÏÂÎļþ
  80. %ÕâÀ↑ʼ¼ÆËãµ¥Ñù±¾T¼ìÑéÁË
  81. %Till_spmT_0001
  82. filename=char(Filename(i));
  83. zFC_namelist = dir([radius_Seeds_Excel,filename(1:end-4),'\zFC_',filename(1:end-4),'\zFC*']);
  84. len = length(zFC_namelist);
  85. for j = 1:len
  86. file_name{j} = [radius_Seeds_Excel,filename(1:end-4),'\zFC_',filename(1:end-4),'\',zFC_namelist(j).name];
  87. end
  88. File_name = file_name(1:end)';
  89. %-----------------------------------------------------------------------
  90. %Factorial design specification
  91. jobs{1}.spm.stats.factorial_design.dir = {[radius_Seeds_Excel,filename(1:end-4),'\onesample_',filename(1:end-4)]};
  92. jobs{1}.spm.stats.factorial_design.des.t1.scans = File_name;
  93. jobs{1}.spm.stats.factorial_design.cov = struct('c', {}, 'cname', {}, 'iCFI', {}, 'iCC', {});
  94. jobs{1}.spm.stats.factorial_design.multi_cov = struct('files', {}, 'iCFI', {}, 'iCC', {});
  95. jobs{1}.spm.stats.factorial_design.masking.tm.tm_none = 1;
  96. jobs{1}.spm.stats.factorial_design.masking.im = 1;
  97. jobs{1}.spm.stats.factorial_design.masking.em = {'C:\Users\HP\Desktop\FCNM\Code\BrainMask_mm.nii,1'};%ÕâÀï×¢Ò⣬Ҫ¸Ä³É²Î¿¼µÄmaskÔڵķ¾¶£¬×Ô¼ºÐ´Ò»ÏÂ
  98. jobs{1}.spm.stats.factorial_design.globalc.g_omit = 1;
  99. jobs{1}.spm.stats.factorial_design.globalm.gmsca.gmsca_no = 1;
  100. jobs{1}.spm.stats.factorial_design.globalm.glonorm = 1;
  101. spm('defaults', 'FMRI');
  102. spm_jobman('run', jobs);
  103. clear jobs
  104. jobs{1}.spm.stats.fmri_est.spmmat = {[radius_Seeds_Excel,filename(1:end-4),'\onesample_',filename(1:end-4),'\SPM.mat']};
  105. jobs{1}.spm.stats.fmri_est.write_residuals = 0;
  106. jobs{1}.spm.stats.fmri_est.method.Classical = 1;
  107. spm('defaults', 'FMRI');
  108. spm_jobman('run', jobs);
  109. clear jobs
  110. %Model estimation
  111. jobs{1}.spm.stats.con.spmmat = {[radius_Seeds_Excel,filename(1:end-4),'\onesample_',filename(1:end-4),'\SPM.mat']};
  112. jobs{1}.spm.stats.con.consess{1}.tcon.name = 'onesample';
  113. jobs{1}.spm.stats.con.consess{1}.tcon.weights = 1;
  114. jobs{1}.spm.stats.con.consess{1}.tcon.sessrep = 'none';
  115. jobs{1}.spm.stats.con.delete = 0;
  116. spm('defaults', 'FMRI');
  117. spm_jobman('run', jobs);
  118. clear jobs
  119. end

Coordinate_network_mapping_main_codes.m, no license · at the source

Overview

Authors: Chenglong Liu1,2,3, Yu Song1,2,3, Xufeng Zhao1,2,3, Zhili Wang1,2,3, Liping Yan1,2,3, Yongqiang Yu1,2,3, Jiajia Zhu1,2,3
  1. Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022 China
  2. Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032 China
  3. Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, 230032 China
Journal: Translational psychiatry, volume 16, issue 1, article 214
Dates: received 11 December 2025; accepted 16 March 2026; published online 30 March 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41398-026-04005-6 · PMID 41912491 · PMCID PMC13039395 · OpenAlex W7143392855
Open access: gold, a free copy (OpenAlex)
Status: code verified (how the code is found and verified)
Categories: human (organism), depression (population)
Methods: Spectral & time-frequency, Connectivity, Statistics, Smoothing, state filtering, decompositions, fMRI & imaging, Preprocessing
Keywords: Neuroscience, Psychiatric disorders
MeSH: Anhedonia*, Brain*, Major Depressive Disorder*, Nerve Net*, Adult, Brain Mapping, Female, Gyrus Cinguli, Humans, Magnetic Resonance Imaging, Male (* major topic)
Topic: Functional Brain Connectivity Studies (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: Natural Science Foundation of Anhui Province (Anhui Provincial Natural Science Foundation) (2308085MH277); National Natural Science Foundation of China (National Science Foundation of China) (82371928, 82471952)
Citations: cited by 3 papers (Europe PMC); 99 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Repository

Its files are read in the Code ↔ Paper reader above.

OSF 6h7vj

License: none: the authors keep all their rights
State: the link answers, verified on 30 September 2026
Evidence: files inventoried
Size: 3 files
Software Heritage: not checked
Found in: “Data availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: SPM (2 files), DPABI (1 file), Statistics and Machine Learning Toolbox (1 file)
Availability: 1 check, the latest on 30 September 2026: the link answers (HTTP 200)
  • 30 September 2026: the link answers (HTTP 200)
2 files
At the source: osf.io/6h7vj/

The paper's code and data availability statement is in the Data section.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 2 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Code and data availability statement

The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1038/s41398-026-04005-6.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 2 keywords, 11 MeSH terms, 2 funders, 99 references.

Cite

This paper

Liu, C., Song, Y., Zhao, X., Wang, Z., Yan, L., Yu, Y., & Zhu, J. (2026). Brain network localization of anhedonia. Translational psychiatry, 16(1), 214. https://doi.org/10.1038/s41398-026-04005-6

BibTeX

@article{liu2026brain,
author = {Liu, Chenglong and Song, Yu and Zhao, Xufeng and Wang, Zhili and Yan, Liping and Yu, Yongqiang and Zhu, Jiajia},
title = {{Brain network localization of anhedonia}},
journal = {Translational psychiatry},
year = {2026},
month = mar,
volume = {16},
number = {1},
pages = {214},
publisher = {Nature Publishing Group},
issn = {2158-3188},
doi = {10.1038/s41398-026-04005-6},
url = {https://doi.org/10.1038/s41398-026-04005-6},
pmid = {41912491},
pmcid = {PMC13039395}
}

RIS

TY - JOUR
AU - Liu, Chenglong
AU - Song, Yu
AU - Zhao, Xufeng
AU - Wang, Zhili
AU - Yan, Liping
AU - Yu, Yongqiang
AU - Zhu, Jiajia
TI - Brain network localization of anhedonia
T2 - Translational psychiatry
J2 - Transl Psychiatry
PY - 2026
DA - 2026/03/30
VL - 16
IS - 1
SP - 214
SN - 2158-3188
PB - Nature Publishing Group
DO - 10.1038/s41398-026-04005-6
UR - https://doi.org/10.1038/s41398-026-04005-6
LA - en
ER -

CSL-JSON

{
"id": "10.1038/s41398-026-04005-6",
"type": "article-journal",
"title": "Brain network localization of anhedonia",
"container-title": "Translational psychiatry",
"author": [
{
"family": "Liu",
"given": "Chenglong"
},
{
"family": "Song",
"given": "Yu"
},
{
"family": "Zhao",
"given": "Xufeng"
},
{
"family": "Wang",
"given": "Zhili"
},
{
"family": "Yan",
"given": "Liping"
},
{
"family": "Yu",
"given": "Yongqiang"
},
{
"family": "Zhu",
"given": "Jiajia"
}
],
"container-title-short": "Transl Psychiatry",
"volume": "16",
"issue": "1",
"page": "214",
"DOI": "10.1038/s41398-026-04005-6",
"PMID": "41912491",
"PMCID": "PMC13039395",
"ISSN": "2158-3188",
"publisher": "Nature Publishing Group",
"URL": "https://doi.org/10.1038/s41398-026-04005-6",
"language": "en",
"issued": {
"date-parts": [
[
2026,
3,
30
]
]
}
}

The tracing map gets a citation of its own once an author has validated it and it has a DOI.

Similar papers

The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.

[1] doi:10.1192/j.eurpsy.2026.10164 [code]
Network localization of brain functional effects of ketamine treatment for major depression.
Journal: European psychiatry : the journal of the Association of European Psychiatrists
In common: DPABI, SPM, depression, 18 references, author Jiajia Zhu
[2] doi:10.1017/s0033291725101992 [code]
Network localization of genetic risk for schizophrenia and bipolar disorder.
Journal: Psychological medicine
In common: DPABI, SPM, Statistics and Machine Learning Toolbox, 20 references
[3] doi:10.1017/s0033291726103924 [code]
Brain network representations of placebo analgesia.
Journal: Psychological medicine
In common: SPM, 21 references, author Jiajia Zhu
[4] doi:10.3389/fneur.2026.1796739 [code]
Network localization of regional intrinsic neural activity alterations in migraine and their neurochemical correlates.
Journal: Frontiers in neurology
In common: SPM, Statistics and Machine Learning Toolbox, 18 references
[5] doi:10.3389/fnmol.2026.1909269 [code]
Convergent functional networks of intrinsic activity alterations in temporal lobe epilepsy and their molecular correlates.
Journal: Frontiers in molecular neuroscience
In common: SPM, Statistics and Machine Learning Toolbox, 18 references
[6] doi:10.1038/s41593-025-02196-7 [code]
Investigating the methodological foundation of lesion network mapping.
Journal: Nature neuroscience
In common: Statistics and Machine Learning Toolbox, 15 references
[7] doi:10.1038/s42003-023-05029-0 [code]
Functional connectivity gradients of the cingulate cortex.
Journal: Communications biology
In common: DPABI, SPM, Statistics and Machine Learning Toolbox, 6 references, 2 authors
[8] doi:10.3389/fnsys.2025.1713434 [code]
Network-based mapping and neurotransmitter architecture of gray matter correlates of neuroticism.
Journal: Frontiers in systems neuroscience
In common: SPM, Statistics and Machine Learning Toolbox, 13 references
[9] doi:10.1093/brain/awae059
Localization of stuttering based on causal brain lesions.
Journal: Brain : a journal of neurology
In common: 13 references
[10] doi:10.1002/alz.70073 [code]
Heterogeneous brain abnormalities in subjective cognitive decline converge on a common network and their transcriptional signature.
Journal: Alzheimer's & dementia : the journal of the Alzheimer's Association
In common: DPABI, SPM, Statistics and Machine Learning Toolbox, 10 references

Contribute

The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.

Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.

Add the badge to the code's README

OSCR: the badge of this paper

If you are an author or a maintainer of this paper's code, you can add this badge. It says what OSCR knows of the paper (its code, its validated tracing map) and links the code to this page. Paste one of these snippets under the README's title. Keep the two marks around it, so that the badge can be replaced in place and is never added twice. OSCR changes nothing in your repository.

Markdown
<!-- oscr-badge:start -->
[![OSCR](https://openscicode.org/badge/doi/10.1038/s41398-026-04005-6.svg)](https://openscicode.org/badge/doi/10.1038/s41398-026-04005-6)
<!-- oscr-badge:end -->
reStructuredText
.. oscr-badge:start

.. image:: https://openscicode.org/badge/doi/10.1038/s41398-026-04005-6.svg
   :target: https://openscicode.org/badge/doi/10.1038/s41398-026-04005-6
   :alt: OSCR

.. oscr-badge:end
HTML
<!-- oscr-badge:start -->
<a href="https://openscicode.org/badge/doi/10.1038/s41398-026-04005-6"><img src="https://openscicode.org/badge/doi/10.1038/s41398-026-04005-6.svg" alt="OSCR"></a>
<!-- oscr-badge:end -->

If you choose to, you can have the badge kept up to date for you, with oscr badge --write from the command line or with the GitHub Action in your repository's workflows. Every other form and option (a card, AsciiDoc, LaTeX, shields.io) is on the badge page.

Request its removal

To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).

Discussion, reproductions, activity

Discussion: code errors and mismatches between the code and the paper about this paper and its code, from readers and its authors, beside the paper and its tracing map.

Report a mismatch between the code and the paper · Report a code error (signed in)

Reproductions: reports from readers who ran the authors' code and did not get the paper's result, what they ran, with which environment, commit and data.

Report a reproduction failure (signed in)

Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.