{"id":"https://openalex.org/W6907550177","doi":"https://doi.org/10.21227/f1qz-h190","title":"Experimental Documentation","display_name":"Experimental Documentation","publication_year":2025,"publication_date":"2025-04-02","ids":{"openalex":"https://openalex.org/W6907550177","doi":"https://doi.org/10.21227/f1qz-h190"},"language":"en","primary_location":{"id":"doi:10.21227/f1qz-h190","is_oa":true,"landing_page_url":"https://doi.org/10.21227/f1qz-h190","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/f1qz-h190","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"fu, hao","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"fu, hao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/documentation","display_name":"Documentation","score":0.7174000144004822},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6197999715805054},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.6093000173568726},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5550000071525574},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4984000027179718},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.49320000410079956},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.39410001039505005}],"concepts":[{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.7174000144004822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6406000256538391},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6197999715805054},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.6093000173568726},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5550000071525574},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4984000027179718},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.49320000410079956},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.44920000433921814},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.39410001039505005},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.38609999418258667},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38350000977516174},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3418999910354614},{"id":"https://openalex.org/C25688753","wikidata":"https://www.wikidata.org/wiki/Q1413406","display_name":"Technical documentation","level":3,"score":0.321399986743927},{"id":"https://openalex.org/C84418412","wikidata":"https://www.wikidata.org/wiki/Q3246940","display_name":"Digital forensics","level":2,"score":0.31540000438690186},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.274399995803833},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26260000467300415},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2556999921798706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/f1qz-h190","is_oa":true,"landing_page_url":"https://doi.org/10.21227/f1qz-h190","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/f1qz-h190","is_oa":true,"landing_page_url":"https://doi.org/10.21227/f1qz-h190","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6686341762542725,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"dataset":[1,92],"is":[2,93],"specifically":[3],"designed":[4],"to":[5,9,64,85,108],"support":[6],"research":[7,111],"related":[8],"TIFS(IEEE":[10],"Transactions":[11],"on":[12,76],"Information":[13],"Forensics":[14],"and":[15,44,58,68,79,87,106,112],"Security)papers.It":[16],"offers":[17],"a":[18,39,46,94],"comprehensive":[19],"collection":[20],"of":[21,42,81,103],"raw":[22,36],"data,extracted":[23],"feature":[24,53],"data,and":[25],"detailed":[26,70],"parameter":[27,71],"profiles":[28,72],"for":[29,49,62,97],"the":[30,34,77,82,90,101],"models":[31],"used":[32],"in":[33,100],"studies.The":[35],"data":[37,54],"includes":[38],"wide":[40],"range":[41],"measurements":[43],"observations,providing":[45],"solid":[47],"foundation":[48],"further":[50],"analysis.The":[51],"extracted":[52],"highlights":[55],"key":[56],"characteristics":[57],"patterns,making":[59],"it":[60],"easier":[61],"researchers":[63,84],"identify":[65],"important":[66],"trends":[67],"insights.Additionally,the":[69],"offer":[73],"in-depth":[74],"information":[75,104],"configuration":[78],"performance":[80],"models,allowing":[83],"reproduce":[86],"build":[88],"upon":[89],"results.This":[91],"valuable":[95],"resource":[96],"anyone":[98],"working":[99],"field":[102],"forensics":[105],"security,aiming":[107],"facilitate":[109],"high-quality":[110],"innovation.":[113]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}