{"id":"https://openalex.org/W2157682404","doi":"https://doi.org/10.1109/mcse.2015.127","title":"A Guide to Earth Science Data: Summary and Research Challenges","display_name":"A Guide to Earth Science Data: Summary and Research Challenges","publication_year":2015,"publication_date":"2015-10-28","ids":{"openalex":"https://openalex.org/W2157682404","doi":"https://doi.org/10.1109/mcse.2015.127","mag":"2157682404"},"language":"en","primary_location":{"id":"doi:10.1109/mcse.2015.127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcse.2015.127","pdf_url":null,"source":{"id":"https://openalex.org/S107923245","display_name":"Computing in Science & Engineering","issn_l":"1521-9615","issn":["1521-9615","1558-366X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320061","host_organization_name":"AIP Publishing","host_organization_lineage":["https://openalex.org/P4310320061","https://openalex.org/P4310320257"],"host_organization_lineage_names":["AIP Publishing","American Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing in Science & Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081622450","display_name":"Anuj Karpatne","orcid":"https://orcid.org/0000-0003-1647-3534"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Anuj Karpatne","raw_affiliation_strings":["Univecsity of Minnesota"],"affiliations":[{"raw_affiliation_string":"Univecsity of Minnesota","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051716021","display_name":"Stefan Liess","orcid":"https://orcid.org/0000-0002-3544-8505"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stefan Liess","raw_affiliation_strings":["Univecsity of Minnesota"],"affiliations":[{"raw_affiliation_string":"Univecsity of Minnesota","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081622450"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4089,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.92043287,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"17","issue":"6","first_page":"14","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14280","display_name":"Big Data Technologies and Applications","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14280","display_name":"Big Data Technologies and Applications","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9732000231742859,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9610000252723694,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.7836439609527588},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.698453426361084},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.681071937084198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6264311075210571},{"id":"https://openalex.org/keywords/earth-system-science","display_name":"Earth system science","score":0.6169067621231079},{"id":"https://openalex.org/keywords/earth-observation","display_name":"Earth observation","score":0.5649919509887695},{"id":"https://openalex.org/keywords/earth-science","display_name":"Earth science","score":0.5047940015792847},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.470066636800766},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4389188289642334},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.4193720519542694},{"id":"https://openalex.org/keywords/digital-earth","display_name":"Digital Earth","score":0.4102188050746918},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18184435367584229},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.15964016318321228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11315798759460449},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10708430409431458},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09300807118415833},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09196683764457703}],"concepts":[{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.7836439609527588},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.698453426361084},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.681071937084198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6264311075210571},{"id":"https://openalex.org/C80368990","wikidata":"https://www.wikidata.org/wiki/Q3046459","display_name":"Earth system science","level":2,"score":0.6169067621231079},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.5649919509887695},{"id":"https://openalex.org/C1965285","wikidata":"https://www.wikidata.org/wiki/Q8008","display_name":"Earth science","level":1,"score":0.5047940015792847},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.470066636800766},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4389188289642334},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.4193720519542694},{"id":"https://openalex.org/C120938966","wikidata":"https://www.wikidata.org/wiki/Q5275845","display_name":"Digital Earth","level":2,"score":0.4102188050746918},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18184435367584229},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.15964016318321228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11315798759460449},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10708430409431458},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09300807118415833},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09196683764457703},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mcse.2015.127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcse.2015.127","pdf_url":null,"source":{"id":"https://openalex.org/S107923245","display_name":"Computing in Science & Engineering","issn_l":"1521-9615","issn":["1521-9615","1558-366X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320061","host_organization_name":"AIP Publishing","host_organization_lineage":["https://openalex.org/P4310320061","https://openalex.org/P4310320257"],"host_organization_lineage_names":["AIP Publishing","American Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing in Science & Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309636","display_name":"University of Minnesota","ror":"https://ror.org/03grvy078"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1973749534","https://openalex.org/W1989946722","https://openalex.org/W2013752326","https://openalex.org/W2024966118","https://openalex.org/W2397220982","https://openalex.org/W2498607333","https://openalex.org/W3101035442"],"related_works":["https://openalex.org/W3156072338","https://openalex.org/W4281783369","https://openalex.org/W4327925681","https://openalex.org/W3123501546","https://openalex.org/W2516184622","https://openalex.org/W4309950428","https://openalex.org/W1592788703","https://openalex.org/W2790914452","https://openalex.org/W2068589268","https://openalex.org/W2157682404"],"abstract_inverted_index":{"Recent":[0],"growth":[1],"in":[2,32,52,105],"the":[3,22,33,85,89,101],"scale":[4],"and":[5,51,56,72,96],"variety":[6],"of":[7,28,44,49,92,100],"Earth":[8,29,58,93,107],"science":[9,30,59,94,108],"data":[10,17,54],"has":[11],"provided":[12],"unprecedented":[13],"opportunities":[14],"to":[15,69,78],"big":[16],"analytics":[18],"research":[19],"for":[20],"understanding":[21],"Earth's":[23],"physical":[24,70],"processes.":[25],"An":[26],"upsurge":[27],"datasets":[31,95],"past":[34],"few":[35],"decades":[36],"are":[37],"being":[38],"continually":[39],"collected":[40],"using":[41],"various":[42],"modes":[43],"acquisition,":[45],"at":[46],"different":[47,90],"scales":[48],"observation,":[50],"diverse":[53],"types":[55],"formats.":[57],"datasets,":[60],"however,":[61],"exhibit":[62],"some":[63,99],"unique":[64],"characteristics":[65],"(such":[66],"as":[67],"adherence":[68],"properties":[71],"spatiotemporal":[73],"constraints)":[74],"that":[75],"present":[76],"challenges":[77,104],"traditional":[79],"data-centric":[80,103],"approaches.":[81],"In":[82],"this":[83],"article,":[84],"authors":[86],"briefly":[87],"introduce":[88],"categories":[91],"further":[97],"describe":[98],"major":[102],"analyzing":[106],"data.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}