{"id":"https://openalex.org/W6904640726","doi":"https://doi.org/10.14278/rodare.3668","title":"Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset","display_name":"Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset","publication_year":2025,"publication_date":"2025-04-07","ids":{"openalex":"https://openalex.org/W6904640726","doi":"https://doi.org/10.14278/rodare.3668"},"language":"en","primary_location":{"id":"doi:10.14278/rodare.3668","is_oa":true,"landing_page_url":"https://doi.org/10.14278/rodare.3668","pdf_url":null,"source":{"id":"https://openalex.org/S7407052936","display_name":"RODARE","issn_l":null,"issn":null,"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/10.14278/rodare.3668","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Arbash, Elias","orcid":"https://orcid.org/0009-0000-2187-9171"},"institutions":[{"id":"https://openalex.org/I4210148560","display_name":"Helmholtz Institute Freiberg for Resource Technology","ror":"https://ror.org/04kdb0j04","country_code":"DE","type":"government","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Arbash, Elias","raw_affiliation_strings":["Helmholtz-Institut Freiberg f\u00fcr Ressourcentechnologie - University of Antwerb"],"raw_orcid":"https://orcid.org/0009-0000-2187-9171","affiliations":[{"raw_affiliation_string":"Helmholtz-Institut Freiberg f\u00fcr Ressourcentechnologie - University of Antwerb","institution_ids":["https://openalex.org/I4210148560"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Afifi, Ahmed Jamal","orcid":"https://orcid.org/0000-0001-6782-6753"},"institutions":[{"id":"https://openalex.org/I4210148560","display_name":"Helmholtz Institute Freiberg for Resource Technology","ror":"https://ror.org/04kdb0j04","country_code":"DE","type":"government","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Afifi, Ahmed Jamal","raw_affiliation_strings":["Helmholtz-Institut Freiberg f\u00fcr Ressourcentechnologie"],"raw_orcid":"https://orcid.org/0000-0001-6782-6753","affiliations":[{"raw_affiliation_string":"Helmholtz-Institut Freiberg f\u00fcr Ressourcentechnologie","institution_ids":["https://openalex.org/I4210148560"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Belahsen, Ymane","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141296","display_name":"Centre Hospitalo-Universitaire Mohammed VI d'Oujda","ror":"https://ror.org/04bmqy315","country_code":"MA","type":"healthcare","lineage":["https://openalex.org/I4210141296"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Belahsen, Ymane","raw_affiliation_strings":["National School of Applied Sciences of Oujda"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National School of Applied Sciences of Oujda","institution_ids":["https://openalex.org/I4210141296"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fuchs, Margret","orcid":"https://orcid.org/0000-0001-7210-1132"},"institutions":[{"id":"https://openalex.org/I4210148560","display_name":"Helmholtz Institute Freiberg for Resource Technology","ror":"https://ror.org/04kdb0j04","country_code":"DE","type":"government","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fuchs, Margret","raw_affiliation_strings":["Helmholtz-Institut Freiberg f\u00fcr Ressourcentechnologie"],"raw_orcid":"https://orcid.org/0000-0001-7210-1132","affiliations":[{"raw_affiliation_string":"Helmholtz-Institut Freiberg f\u00fcr Ressourcentechnologie","institution_ids":["https://openalex.org/I4210148560"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ghamisi, Pedram","orcid":"https://orcid.org/0000-0003-1203-741X"},"institutions":[{"id":"https://openalex.org/I4210148560","display_name":"Helmholtz Institute Freiberg for Resource Technology","ror":"https://ror.org/04kdb0j04","country_code":"DE","type":"government","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ghamisi, Pedram","raw_affiliation_strings":["Helmholtz-Institut Freiberg f\u00fcr Ressourcentechnologie"],"raw_orcid":"https://orcid.org/0000-0003-1203-741X","affiliations":[{"raw_affiliation_string":"Helmholtz-Institut Freiberg f\u00fcr Ressourcentechnologie","institution_ids":["https://openalex.org/I4210148560"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Scheunders, Paul","orcid":"https://orcid.org/0000-0003-2447-4772"},"institutions":[{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Scheunders, Paul","raw_affiliation_strings":["University of Antwerp"],"raw_orcid":"https://orcid.org/0000-0003-2447-4772","affiliations":[{"raw_affiliation_string":"University of Antwerp","institution_ids":["https://openalex.org/I149213910"]}]},{"author_position":"last","author":{"id":null,"display_name":"Gloaguen, Richard","orcid":"https://orcid.org/0000-0002-4383-473X"},"institutions":[{"id":"https://openalex.org/I4210148560","display_name":"Helmholtz Institute Freiberg for Resource Technology","ror":"https://ror.org/04kdb0j04","country_code":"DE","type":"government","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gloaguen, Richard","raw_affiliation_strings":["Helmholtz-Institut Freiberg f\u00fcr Ressourcentechnologie"],"raw_orcid":"https://orcid.org/0000-0002-4383-473X","affiliations":[{"raw_affiliation_string":"Helmholtz-Institut Freiberg f\u00fcr Ressourcentechnologie","institution_ids":["https://openalex.org/I4210148560"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"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/ground-truth","display_name":"Ground truth","score":0.7125999927520752},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6902999877929688},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6136999726295471},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.5234000086784363},{"id":"https://openalex.org/keywords/file-format","display_name":"File format","score":0.5169000029563904},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.483599990606308},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.423799991607666}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7312999963760376},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.7125999927520752},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6902999877929688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6290000081062317},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6136999726295471},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5534999966621399},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.5234000086784363},{"id":"https://openalex.org/C97250363","wikidata":"https://www.wikidata.org/wiki/Q235557","display_name":"File format","level":2,"score":0.5169000029563904},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.483599990606308},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.423799991607666},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.38449999690055847},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C171730128","wikidata":"https://www.wikidata.org/wiki/Q5227290","display_name":"Data file","level":2,"score":0.34119999408721924},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.34060001373291016},{"id":"https://openalex.org/C65377053","wikidata":"https://www.wikidata.org/wiki/Q1572121","display_name":"Image file formats","level":3,"score":0.3402000069618225},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.29910001158714294},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2660999894142151}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14278/rodare.3668","is_oa":true,"landing_page_url":"https://doi.org/10.14278/rodare.3668","pdf_url":null,"source":{"id":"https://openalex.org/S7407052936","display_name":"RODARE","issn_l":null,"issn":null,"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:10.14278/rodare.3668","is_oa":true,"landing_page_url":"https://doi.org/10.14278/rodare.3668","pdf_url":null,"source":{"id":"https://openalex.org/S7407052936","display_name":"RODARE","issn_l":null,"issn":null,"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":[{"score":0.8096058368682861,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"<strong>Electrolyzers-HSI":[0],"Dataset</strong>":[1],"Description:":[2],"The":[3,19,44],"Electrolyzers-HSI":[4],"dataset":[5,11],"is":[6,83,95],"a":[7,25,31,41,98],"multiscene":[8],"RGB-Hyperspectral":[9],"benchmark":[10],"comprising":[12],"55":[13],"scene":[14],"of":[15,155],"shredded":[16],"Electrolyzers":[17],"samples.":[18],"RGB":[20,61,125,146],"images":[21,36],"are":[22,38,76,192],"collected":[23],"using":[24],"Teledyne":[26],"Dalsa":[27],"C4020":[28],"camera":[29],"on":[30,194],"conveyor":[32],"belt,":[33],"while":[34],"hyperspectral":[35,90],"(HSI)":[37],"acquired":[39],"with":[40,187],"FENIX":[42],"spectrometer.":[43],"HSI":[45,87,118,139],"data":[46,91,119,140],"contains":[47],"450":[48],"bands":[49],"in":[50,159],"the":[51,74,124,145,188,195,207],"VNIR":[52],"and":[53,79,114,135,185],"SWIR":[54],"range":[55],"[400":[56],"-":[57],"2500]nm.":[58],"<strong>Data":[59,157],"Format</strong>":[60],"Images:":[62],".jpg":[63],"files":[64,116,137],"Ground":[65],"Truth":[66],"(GT):":[67],".png":[68],"files.":[69],"They":[70],"appear":[71],"black":[72],"since":[73],"values":[75],"between":[77],"0":[78,163],"5.":[80],"Correct":[81],"visualization":[82],"done":[84],"via":[85],"script.":[86],"Data:":[88],"Each":[89],"cube":[92,120,141],".img":[93],"file":[94,108,122,129,143],"accompanied":[96],"by":[97],".hdr":[99],"file.":[100],"<strong>Folder":[101],"Organization</strong>":[102],"<strong>Electrolyzers-HSI:":[103],"</strong>55":[104],"subfolders":[105],"1/":[106],"\u2019GT.png\u2019":[107,128],"for":[109,117,123,130,138,144,152],"segmentation":[110,131,166],"ground":[111,132],"truth":[112,133],"\u2018HSI.img\u2019":[113,134],"\u2018HSI.hdr\u2019":[115,136],"\u2018RGB.jpg\u2019":[121,142],"image":[126,147],"2/":[127],"3/4/5/6/":[148],"\u2026":[149],":Same":[150],"structure":[151],"all":[153],"rest":[154],"folders":[156],"Classes":[158],"Masks</strong>":[160],"Masks":[161],"contain":[162],"to":[164],"5":[165],"classes:":[167],"0:":[168],"background":[169],"1:":[170],"\u201cMESH\u201d":[171],"2:":[172],"\u201cSteel_Cathode\u201d":[173],"3:":[174],"\"Steel_Anode\u201d":[175],"4:":[176],"\u201cHTEL_Anode\u201d":[177],"5:":[178],"\u201cHTEL_Cathode\u201d":[179],"<strong>Code":[180],"Repository</strong>":[181],"To":[182],"facilitate":[183],"reading":[184],"working":[186],"data,":[189],"Python":[190],"codes":[191],"available":[193],"GitHub":[196],"repository:":[197],"https://github.com/hifexplo":[198],"<strong>Citation</strong>":[199],"If":[200],"you":[201],"use":[202],"this":[203],"dataset,":[204],"please":[205],"cite":[206],"following":[208],"article:":[209],"<strong>Word</strong>:":[210],"<strong>Latex:</strong>":[211]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
