{"id":"https://openalex.org/W6907286116","doi":"https://doi.org/10.21227/51gn-m114","title":"Heidelberg Spiking Datasets","display_name":"Heidelberg Spiking Datasets","publication_year":2019,"publication_date":"2019-12-06","ids":{"openalex":"https://openalex.org/W6907286116","doi":"https://doi.org/10.21227/51gn-m114"},"language":"en","primary_location":{"id":"doi:10.21227/51gn-m114","is_oa":true,"landing_page_url":"https://doi.org/10.21227/51gn-m114","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/10.21227/51gn-m114","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zenke, Friedemann","orcid":"https://orcid.org/0000-0003-1883-644X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zenke, Friedemann","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-1883-644X","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/training-set","display_name":"Training set","score":0.3937000036239624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34540000557899475},{"id":"https://openalex.org/keywords/conjunction","display_name":"Conjunction (astronomy)","score":0.25220000743865967},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.2443999946117401}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6956999897956848},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5236999988555908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4514000117778778},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43939998745918274},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3937000036239624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34540000557899475},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.25220000743865967},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2443999946117401},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24060000479221344},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.21320000290870667}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/51gn-m114","is_oa":true,"landing_page_url":"https://doi.org/10.21227/51gn-m114","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:10.21227/51gn-m114","is_oa":true,"landing_page_url":"https://doi.org/10.21227/51gn-m114","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":[{"score":0.5480373501777649,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,9,22],"Heidelberg":[1,11],"Spiking":[2,10,17],"Datasets":[3],"comprise":[4],"two":[5],"spike-based":[6],"classification":[7],"datasets:":[8],"Digits":[12],"(SHD)":[13],"dataset":[14,31,42],"and":[15,45,69],"the":[16,34,66,83],"Speech":[18,29],"Command":[19],"(SSC)":[20],"dataset.":[21],"latter":[23],"is":[24,36],"derived":[25],"from":[26],"Pete":[27],"Warden's":[28],"Commands":[30],"(https://arxiv.org/abs/1804.03209),":[32],"whereas":[33],"former":[35],"based":[37],"on":[38],"a":[39,56],"spoken":[40],"digit":[41],"recorded":[43],"in-house":[44],"included":[46],"in":[47,72],"this":[48],"repository.":[49],"Both":[50],"datasets":[51],"were":[52],"generated":[53],"by":[54],"applying":[55],"detailed":[57],"inner":[58],"ear":[59],"model":[60],"to":[61],"audio":[62],"recordings.":[63],"We":[64],"distribute":[65],"input":[67],"spikes":[68],"target":[70],"labels":[71],"HDF5":[73],"format.":[74],"SHD":[75],"as":[76,78],"well":[77],"SSC":[79],"are":[80],"released":[81],"under":[82],"Creative":[84],"Commons":[85],"Attribution":[86],"4.0":[87],"International":[88],"License.":[89]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
