{"id":"https://openalex.org/W6968159126","doi":"https://doi.org/10.5281/zenodo.13904422","title":"Gravity Spy Volunteer Classifications of LIGO Glitches","display_name":"Gravity Spy Volunteer Classifications of LIGO Glitches","publication_year":2024,"publication_date":"2024-07-20","ids":{"openalex":"https://openalex.org/W6968159126","doi":"https://doi.org/10.5281/zenodo.13904422"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.13904422","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.13904422","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"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/10.5281/zenodo.13904422","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Crowston, Kevin","orcid":"https://orcid.org/0000-0003-1996-3600"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Crowston, Kevin","raw_affiliation_strings":["Syracuse University"],"raw_orcid":"https://orcid.org/0000-0003-1996-3600","affiliations":[{"raw_affiliation_string":"Syracuse University","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I70983195"],"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/glitch","display_name":"Glitch","score":0.7465999722480774},{"id":"https://openalex.org/keywords/citizen-science","display_name":"Citizen science","score":0.5900999903678894},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5450000166893005},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5309000015258789},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5109000205993652},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4309999942779541},{"id":"https://openalex.org/keywords/ligo","display_name":"LIGO","score":0.41100001335144043}],"concepts":[{"id":"https://openalex.org/C191287063","wikidata":"https://www.wikidata.org/wiki/Q543281","display_name":"Glitch","level":3,"score":0.7465999722480774},{"id":"https://openalex.org/C197352329","wikidata":"https://www.wikidata.org/wiki/Q1093434","display_name":"Citizen science","level":2,"score":0.5900999903678894},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5450000166893005},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5309000015258789},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5180000066757202},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5109000205993652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45750001072883606},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4309999942779541},{"id":"https://openalex.org/C2780688901","wikidata":"https://www.wikidata.org/wiki/Q255371","display_name":"LIGO","level":3,"score":0.41100001335144043},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38589999079704285},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C34872919","wikidata":"https://www.wikidata.org/wiki/Q7092302","display_name":"One-class classification","level":3,"score":0.3264000117778778},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.2547999918460846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.13904422","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.13904422","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.13904422","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.13904422","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3333540975","display_name":"Collaborative Research: HCC: Medium: Intelligent support for non-experts to navigate large information spaces","funder_award_id":"2106865","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4426500429","display_name":"INSPIRE: Teaming Citizen Science with Machine Learning to Deepen LIGO's View of the Cosmos","funder_award_id":"1547880","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,459],"data":[1,71,103,418,469,476],"set":[2,607,629],"contains":[3],"the":[4,8,53,93,97,101,136,144,162,169,191,239,251,274,281,284,288,293,323,425,447,455,466,471,474,483,486,500,515,531,539,544,551,605,627,632],"individual":[5],"classifications":[6,36,78,83,558,578],"that":[7,132,494],"Gravity":[9,41,526,570,589,610,617,634,644],"Spy":[10,42,527,571,590,611,618,635],"citizen":[11,54,163],"science":[12,24,55,164],"volunteers":[13,212,289],"made":[14,22,518],"for":[15,49,272,424,433,454,482,489,543,631,643],"glitches":[16,38,62,220,561,580],"through":[17],"20":[18],"July":[19],"2024.":[20],"Classifications":[21,574,592],"by":[23,222,519,550],"team":[25],"members":[26],"or":[27,488],"in":[28,68,86,100,152,213,232,254,302,312,322,438,522,529,562,609],"testing":[29],"workflows":[30],"have":[31,35,175],"been":[32,141],"removed":[33],"as":[34,227,300,308],"of":[37,52,92,216,235,280,330,417,538,579,593],"lacking":[39],"a":[40,214,223,233,295,303,309,313,421,434,451,503,520],"identifier.":[43],"See":[44],"Zevin":[45,87],"et":[46,74,88,205],"al.":[47,89,206],"(2017)":[48],"an":[50,69,195,479,492],"explanation":[51],"task":[56],"and":[57,81,127,147,173,183,237,306,317,566,584,602,648],"classification":[58,94,138,193,264,467,487,516,532,647],"interface.":[59],"Data":[60],"about":[61,470],"with":[63,446],"machine-learning":[64,137,192],"labels":[65,95,98],"are":[66,84,209,320],"provided":[67,85],"earlier":[70,102],"release":[72],"(Glanzer":[73],"al.,":[75],"2021).":[76,207],"Final":[77],"combining":[79,581],"ML":[80],"volunteer":[82,177,197,428,585],"(2022).":[90],"22":[91,361,388],"match":[96],"used":[99,202,463,497,608,630],"release,":[104],"namely":[105,155,179],"1080Lines,":[106,362,379],"1400Ripples,":[107,363,398],"Air_Compressor,":[108,364,399],"Blip,":[109,339],"Chirp,":[110,353],"Extremely_Loud,":[111,365,380],"Helix,":[112,366],"Koi_Fish,":[113,346],"Light_Modulation,":[114,367],"Low_Frequency_Burst,":[115,354],"Low_Frequency_Lines,":[116,368,381],"No_Glitch,":[117,355],"None_of_the_Above,":[118],"Paired_Doves,":[119,369,400],"Power_Line,":[120,347],"Repeating_Blips,":[121,370,382],"Scattered_Light,":[122],"Scratchy,":[123,371],"Tomte,":[124,372,401],"Violin_Mode,":[125],"Wandering_Line":[126,373],"Whistle.":[128],"One":[129],"glitch":[130,186,296,331,391,414,435,456,472],"class":[131,187,311,548],"was":[133,517,533],"added":[134,142,160,189,334],"to":[135,143,161,168,190,211,230,241,287,464,468,498],"has":[139,194],"not":[140,150,167,261,508],"Zooniverse":[145],"project":[146],"so":[148,174],"does":[149,260],"appear":[151],"this":[153],"file,":[154],"Blip_Low_Frequency.":[156],"Four":[157],"classes":[158,236,245,252,285,319,332,392,415,432],"were":[159],"platform":[165],"but":[166,266,505],"machine":[170,224,275,556,582,612,636],"learning":[171,225,276,557,583,613,637,642],"model":[172,277],"only":[176,243],"labels,":[178],"70HZLINE,":[180,403],"HIGHFREQUENCYBURST,":[181,405],"LOWFREQUENCYBLIP":[182],"PIZZICATO.":[184],"The":[185,257,525,536],"Fast_Scattering":[188],"equivalent":[196],"label":[198],"CROWN,":[199,404],"which":[200,273,439,506,530],"is":[201,278],"here":[203],"(Soni":[204],"Glitches":[208,333,595],"presented":[210],"succession":[215],"workflows.":[217],"Workflows":[218,316],"include":[219],"classified":[221,299],"classifier":[226],"being":[228,457],"likely":[229],"be":[231,298,443,462,496],"subset":[234],"offer":[238],"option":[240],"classify":[242],"those":[244,271],"plus":[246],"None_of_the_Above.":[247],"Each":[248],"level":[249,259,359,376,386,395],"includes":[250,267],"available":[253,286,318],"lower":[255,304],"levels.":[256],"top":[258],"add":[262],"new":[263,390,413],"options":[265],"all":[268,560],"glitches,":[269],"including":[270],"uncertain":[279],"class.":[282],"As":[283],"change":[290],"depending":[291],"on":[292,559,575,621,626,650],"workflow,":[294],"might":[297],"None_of_the_Above":[301,341],"workflow":[305,528],"subsequently":[307],"different":[310],"higher":[314],"workflow.":[315,540],"shown":[321],"table":[324],"below.":[325],"Workflow":[326],"ID":[327],"Name":[328],"Number":[329],"1610":[335],"Level":[336,343,350,409],"1":[337],"3":[338,351],"Whistle,":[340],"1934":[342],"2":[344],"6":[345,410],"Violin_Mode":[348],"1935":[349],"10":[352],"Scattered_Light":[356],"2360":[357],"Original":[358,385],"4":[360,377],"7765":[374],"New":[375,394],"15":[378],"Scratchy":[383],"2117":[384],"5":[387,396],"No":[389,412],"7766":[393],"27":[397,411],"Wandering_Line,":[402],"LOWFREQUENCYBLIP,":[406],"PIZZICATO":[407],"7767":[408],"Description":[416],"fields":[419],"Classification_id:":[420],"unique":[422,452],"identifier":[423,453,481,493],"classification.":[426,545],"A":[427],"may":[429,507],"choose":[430],"multiple":[431,444],"when":[436],"classifying,":[437],"case":[440],"there":[441],"will":[442],"rows":[445],"same":[448],"classification_id.":[449],"Subject_id:":[450],"classified.":[458],"field":[460],"can":[461,495],"join":[465],"from":[473,596],"prior":[475],"release.":[477],"User_hash:":[478],"anonymized":[480],"user":[484,501],"making":[485],"anonymous":[490],"users":[491],"track":[499],"within":[502],"session":[504],"persist":[509],"across":[510],"sessions.":[511],"Anonymous_user:":[512],"True":[513],"if":[514],"non-logged":[521],"user.":[523],"Workflow:":[524],"made.":[534],"Workflow_version:":[535],"version":[537],"Timestamp:":[541],"Timestamp":[542],"Classification:":[546],"Glitch":[547,646],"selected":[549],"volunteer.":[552],"Related":[553],"datasets":[554],"For":[555,577,604,623],"O1,":[563,599],"O2,":[564,600],"O3a,":[565,601],"O3b,":[567],"please":[568,587,615,639],"see":[569,588,616,640],"Machine":[572,641],"Learning":[573],"Zenodo":[576],"classifications,":[586],"Volunteer":[591],"LIGO":[594],"Observing":[597],"Runs":[598],"O3b.":[603],"training":[606,628],"algorithms,":[614],"Training":[619],"Set":[620],"Zenodo.":[622,651],"detailed":[624],"information":[625],"original":[633],"paper,":[638],"Spy:":[645],"dataset":[649]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
