Samuel Hart

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi?db=pubmed&query_key=1&WebEnv=MCID_60025dfa408cd006f973e7eb&retmode=json

Resource id #556 -- array(2) { ["header"]=> array(2) { ["type"]=> string(8) "esummary" ["version"]=> string(3) "0.3" } ["result"]=> array(6) { ["uids"]=> array(5) { [0]=> string(8) "32833957" [1]=> string(8) "31598381" [2]=> string(8) "31162049" [3]=> string(8) "30794534" [4]=> string(8) "31598380" } [32833957]=> array(43) { ["uid"]=> string(8) "32833957" ["pubdate"]=> string(8) "2020 Aug" ["epubdate"]=> string(11) "2020 Aug 24" ["source"]=> string(9) "PLoS Biol" ["authors"]=> array(14) { [0]=> array(3) { ["name"]=> string(7) "Green R" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [1]=> array(3) { ["name"]=> string(5) "Sonal" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [2]=> array(3) { ["name"]=> string(6) "Wang L" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [3]=> array(3) { ["name"]=> string(8) "Hart SFM" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [4]=> array(3) { ["name"]=> string(4) "Lu W" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [5]=> array(3) { ["name"]=> string(10) "Skelding D" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [6]=> array(3) { ["name"]=> string(9) "Burton JC" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [7]=> array(3) { ["name"]=> string(4) "Mi H" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [8]=> array(3) { ["name"]=> string(7) "Capel A" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [9]=> array(3) { ["name"]=> string(7) "Chen HA" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [10]=> array(3) { ["name"]=> string(5) "Lin A" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [11]=> array(3) { ["name"]=> string(14) "Subramaniam AR" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [12]=> array(3) { ["name"]=> string(13) "Rabinowitz JD" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [13]=> array(3) { ["name"]=> string(6) "Shou W" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } } ["lastauthor"]=> string(6) "Shou W" ["title"]=> string(124) "Metabolic excretion associated with nutrient-growth dysregulation promotes the rapid evolution of an overt metabolic defect." ["sorttitle"]=> string(123) "metabolic excretion associated with nutrient growth dysregulation promotes the rapid evolution of an overt metabolic defect" ["volume"]=> string(2) "18" ["issue"]=> string(1) "8" ["pages"]=> string(8) "e3000757" ["lang"]=> array(1) { [0]=> string(3) "eng" } ["nlmuniqueid"]=> string(9) "101183755" ["issn"]=> string(9) "1544-9173" ["essn"]=> string(9) "1545-7885" ["pubtype"]=> array(1) { [0]=> string(15) "Journal Article" } ["recordstatus"]=> string(28) "PubMed - indexed for MEDLINE" ["pubstatus"]=> string(3) "258" ["articleids"]=> array(7) { [0]=> array(3) { ["idtype"]=> string(6) "pubmed" ["idtypen"]=> int(1) ["value"]=> string(8) "32833957" } [1]=> array(3) { ["idtype"]=> string(3) "doi" ["idtypen"]=> int(3) ["value"]=> string(28) "10.1371/journal.pbio.3000757" } [2]=> array(3) { ["idtype"]=> string(3) "pii" ["idtypen"]=> int(4) ["value"]=> string(19) "PBIOLOGY-D-19-00494" } [3]=> array(3) { ["idtype"]=> string(3) "pmc" ["idtypen"]=> int(8) ["value"]=> string(10) "PMC7470746" } [4]=> array(3) { ["idtype"]=> string(3) "rid" ["idtypen"]=> int(8) ["value"]=> string(8) "32833957" } [5]=> array(3) { ["idtype"]=> string(3) "eid" ["idtypen"]=> int(8) ["value"]=> string(8) "32833957" } [6]=> array(3) { ["idtype"]=> string(5) "pmcid" ["idtypen"]=> int(5) ["value"]=> string(19) "pmc-id: PMC7470746;" } } ["history"]=> array(6) { [0]=> array(2) { ["pubstatus"]=> string(8) "received" ["date"]=> string(16) "2019/02/20 00:00" } [1]=> array(2) { ["pubstatus"]=> string(8) "accepted" ["date"]=> string(16) "2020/07/20 00:00" } [2]=> array(2) { ["pubstatus"]=> string(7) "revised" ["date"]=> string(16) "2020/09/03 00:00" } [3]=> array(2) { ["pubstatus"]=> string(6) "pubmed" ["date"]=> string(16) "2020/08/25 06:00" } [4]=> array(2) { ["pubstatus"]=> string(7) "medline" ["date"]=> string(16) "2020/09/18 06:00" } [5]=> array(2) { ["pubstatus"]=> string(6) "entrez" ["date"]=> string(16) "2020/08/25 06:00" } } ["references"]=> array(0) { } ["attributes"]=> array(1) { [0]=> string(12) "Has Abstract" } ["pmcrefcount"]=> int(1) ["fulljournalname"]=> string(12) "PLoS biology" ["elocationid"]=> string(33) "doi: 10.1371/journal.pbio.3000757" ["doctype"]=> string(8) "citation" ["srccontriblist"]=> array(0) { } ["booktitle"]=> string(0) "" ["medium"]=> string(0) "" ["edition"]=> string(0) "" ["publisherlocation"]=> string(0) "" ["publishername"]=> string(0) "" ["srcdate"]=> string(0) "" ["reportnumber"]=> string(0) "" ["availablefromurl"]=> string(0) "" ["locationlabel"]=> string(0) "" ["doccontriblist"]=> array(0) { } ["docdate"]=> string(0) "" ["bookname"]=> string(0) "" ["chapter"]=> string(0) "" ["sortpubdate"]=> string(16) "2020/08/24 00:00" ["sortfirstauthor"]=> string(7) "Green R" ["vernaculartitle"]=> string(0) "" } [31598381]=> array(43) { ["uid"]=> string(8) "31598381" ["pubdate"]=> string(8) "2019 Mar" ["epubdate"]=> string(10) "2019 Jan 4" ["source"]=> string(10) "Quant Biol" ["authors"]=> array(5) { [0]=> array(3) { ["name"]=> string(8) "Hart SFM" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [1]=> array(3) { ["name"]=> string(10) "Skelding D" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [2]=> array(3) { ["name"]=> string(8) "Waite AJ" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [3]=> array(3) { ["name"]=> string(9) "Burton JC" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [4]=> array(3) { ["name"]=> string(6) "Shou W" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } } ["lastauthor"]=> string(6) "Shou W" ["title"]=> string(99) "High-throughput quantification of microbial birth and death dynamics using fluorescence microscopy." ["sorttitle"]=> string(98) "high throughput quantification of microbial birth and death dynamics using fluorescence microscopy" ["volume"]=> string(1) "7" ["issue"]=> string(1) "1" ["pages"]=> string(5) "69-81" ["lang"]=> array(1) { [0]=> string(3) "eng" } ["nlmuniqueid"]=> string(9) "101639642" ["issn"]=> string(9) "2095-4689" ["essn"]=> string(9) "2095-4697" ["pubtype"]=> array(1) { [0]=> string(15) "Journal Article" } ["recordstatus"]=> string(6) "PubMed" ["pubstatus"]=> string(3) "256" ["articleids"]=> array(7) { [0]=> array(3) { ["idtype"]=> string(6) "pubmed" ["idtypen"]=> int(1) ["value"]=> string(8) "31598381" } [1]=> array(3) { ["idtype"]=> string(3) "doi" ["idtypen"]=> int(3) ["value"]=> string(25) "10.1007/s40484-018-0160-7" } [2]=> array(3) { ["idtype"]=> string(3) "pmc" ["idtypen"]=> int(8) ["value"]=> string(10) "PMC6785046" } [3]=> array(3) { ["idtype"]=> string(3) "mid" ["idtypen"]=> int(8) ["value"]=> string(12) "NIHMS1049719" } [4]=> array(3) { ["idtype"]=> string(3) "rid" ["idtypen"]=> int(8) ["value"]=> string(8) "31598381" } [5]=> array(3) { ["idtype"]=> string(3) "eid" ["idtypen"]=> int(8) ["value"]=> string(8) "31598381" } [6]=> array(3) { ["idtype"]=> string(5) "pmcid" ["idtypen"]=> int(5) ["value"]=> string(47) "pmc-id: PMC6785046;manuscript-id: NIHMS1049719;" } } ["history"]=> array(3) { [0]=> array(2) { ["pubstatus"]=> string(6) "entrez" ["date"]=> string(16) "2019/10/11 06:00" } [1]=> array(2) { ["pubstatus"]=> string(6) "pubmed" ["date"]=> string(16) "2019/10/11 06:00" } [2]=> array(2) { ["pubstatus"]=> string(7) "medline" ["date"]=> string(16) "2019/10/11 06:01" } } ["references"]=> array(0) { } ["attributes"]=> array(1) { [0]=> string(12) "Has Abstract" } ["pmcrefcount"]=> int(2) ["fulljournalname"]=> string(37) "Quantitative biology (Beijing, China)" ["elocationid"]=> string(30) "doi: 10.1007/s40484-018-0160-7" ["doctype"]=> string(8) "citation" ["srccontriblist"]=> array(0) { } ["booktitle"]=> string(0) "" ["medium"]=> string(0) "" ["edition"]=> string(0) "" ["publisherlocation"]=> string(0) "" ["publishername"]=> string(0) "" ["srcdate"]=> string(0) "" ["reportnumber"]=> string(0) "" ["availablefromurl"]=> string(0) "" ["locationlabel"]=> string(0) "" ["doccontriblist"]=> array(0) { } ["docdate"]=> string(0) "" ["bookname"]=> string(0) "" ["chapter"]=> string(0) "" ["sortpubdate"]=> string(16) "2019/03/01 00:00" ["sortfirstauthor"]=> string(8) "Hart SFM" ["vernaculartitle"]=> string(0) "" } [31162049]=> array(43) { ["uid"]=> string(8) "31162049" ["pubdate"]=> string(10) "2019 Jun 4" ["epubdate"]=> string(10) "2019 Jun 4" ["source"]=> string(5) "Elife" ["authors"]=> array(5) { [0]=> array(3) { ["name"]=> string(8) "Hart SFM" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [1]=> array(3) { ["name"]=> string(10) "Pineda JMB" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [2]=> array(3) { ["name"]=> string(7) "Chen CC" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [3]=> array(3) { ["name"]=> string(7) "Green R" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [4]=> array(3) { ["name"]=> string(6) "Shou W" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } } ["lastauthor"]=> string(6) "Shou W" ["title"]=> string(106) "Disentangling strictly self-serving mutations from win-win mutations in a mutualistic microbial community." ["sorttitle"]=> string(105) "disentangling strictly self serving mutations from win win mutations in a mutualistic microbial community" ["volume"]=> string(1) "8" ["issue"]=> string(0) "" ["pages"]=> string(0) "" ["lang"]=> array(1) { [0]=> string(3) "eng" } ["nlmuniqueid"]=> string(9) "101579614" ["issn"]=> string(0) "" ["essn"]=> string(9) "2050-084X" ["pubtype"]=> array(1) { [0]=> string(15) "Journal Article" } ["recordstatus"]=> string(28) "PubMed - indexed for MEDLINE" ["pubstatus"]=> string(1) "3" ["articleids"]=> array(7) { [0]=> array(3) { ["idtype"]=> string(6) "pubmed" ["idtypen"]=> int(1) ["value"]=> string(8) "31162049" } [1]=> array(3) { ["idtype"]=> string(3) "doi" ["idtypen"]=> int(3) ["value"]=> string(19) "10.7554/eLife.44812" } [2]=> array(3) { ["idtype"]=> string(3) "pii" ["idtypen"]=> int(4) ["value"]=> string(5) "44812" } [3]=> array(3) { ["idtype"]=> string(3) "pmc" ["idtypen"]=> int(8) ["value"]=> string(10) "PMC6548503" } [4]=> array(3) { ["idtype"]=> string(3) "rid" ["idtypen"]=> int(8) ["value"]=> string(8) "31162049" } [5]=> array(3) { ["idtype"]=> string(3) "eid" ["idtypen"]=> int(8) ["value"]=> string(8) "31162049" } [6]=> array(3) { ["idtype"]=> string(5) "pmcid" ["idtypen"]=> int(5) ["value"]=> string(19) "pmc-id: PMC6548503;" } } ["history"]=> array(5) { [0]=> array(2) { ["pubstatus"]=> string(8) "received" ["date"]=> string(16) "2018/12/31 00:00" } [1]=> array(2) { ["pubstatus"]=> string(8) "accepted" ["date"]=> string(16) "2019/03/19 00:00" } [2]=> array(2) { ["pubstatus"]=> string(6) "entrez" ["date"]=> string(16) "2019/06/05 06:00" } [3]=> array(2) { ["pubstatus"]=> string(6) "pubmed" ["date"]=> string(16) "2019/06/05 06:00" } [4]=> array(2) { ["pubstatus"]=> string(7) "medline" ["date"]=> string(16) "2020/02/19 06:00" } } ["references"]=> array(0) { } ["attributes"]=> array(1) { [0]=> string(12) "Has Abstract" } ["pmcrefcount"]=> int(3) ["fulljournalname"]=> string(5) "eLife" ["elocationid"]=> string(37) "pii: e44812. doi: 10.7554/eLife.44812" ["doctype"]=> string(8) "citation" ["srccontriblist"]=> array(0) { } ["booktitle"]=> string(0) "" ["medium"]=> string(0) "" ["edition"]=> string(0) "" ["publisherlocation"]=> string(0) "" ["publishername"]=> string(0) "" ["srcdate"]=> string(0) "" ["reportnumber"]=> string(0) "" ["availablefromurl"]=> string(0) "" ["locationlabel"]=> string(0) "" ["doccontriblist"]=> array(0) { } ["docdate"]=> string(0) "" ["bookname"]=> string(0) "" ["chapter"]=> string(0) "" ["sortpubdate"]=> string(16) "2019/06/04 00:00" ["sortfirstauthor"]=> string(8) "Hart SFM" ["vernaculartitle"]=> string(0) "" } [30794534]=> array(43) { ["uid"]=> string(8) "30794534" ["pubdate"]=> string(8) "2019 Feb" ["epubdate"]=> string(11) "2019 Feb 22" ["source"]=> string(9) "PLoS Biol" ["authors"]=> array(7) { [0]=> array(3) { ["name"]=> string(8) "Hart SFM" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [1]=> array(3) { ["name"]=> string(4) "Mi H" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [2]=> array(3) { ["name"]=> string(7) "Green R" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [3]=> array(3) { ["name"]=> string(5) "Xie L" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [4]=> array(3) { ["name"]=> string(10) "Pineda JMB" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [5]=> array(3) { ["name"]=> string(8) "Momeni B" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [6]=> array(3) { ["name"]=> string(6) "Shou W" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } } ["lastauthor"]=> string(6) "Shou W" ["title"]=> string(108) "Uncovering and resolving challenges of quantitative modeling in a simplified community of interacting cells." ["sorttitle"]=> string(107) "uncovering and resolving challenges of quantitative modeling in a simplified community of interacting cells" ["volume"]=> string(2) "17" ["issue"]=> string(1) "2" ["pages"]=> string(8) "e3000135" ["lang"]=> array(1) { [0]=> string(3) "eng" } ["nlmuniqueid"]=> string(9) "101183755" ["issn"]=> string(9) "1544-9173" ["essn"]=> string(9) "1545-7885" ["pubtype"]=> array(1) { [0]=> string(15) "Journal Article" } ["recordstatus"]=> string(28) "PubMed - indexed for MEDLINE" ["pubstatus"]=> string(3) "258" ["articleids"]=> array(7) { [0]=> array(3) { ["idtype"]=> string(6) "pubmed" ["idtypen"]=> int(1) ["value"]=> string(8) "30794534" } [1]=> array(3) { ["idtype"]=> string(3) "doi" ["idtypen"]=> int(3) ["value"]=> string(28) "10.1371/journal.pbio.3000135" } [2]=> array(3) { ["idtype"]=> string(3) "pii" ["idtypen"]=> int(4) ["value"]=> string(19) "PBIOLOGY-D-18-00513" } [3]=> array(3) { ["idtype"]=> string(3) "pmc" ["idtypen"]=> int(8) ["value"]=> string(10) "PMC6402699" } [4]=> array(3) { ["idtype"]=> string(3) "rid" ["idtypen"]=> int(8) ["value"]=> string(8) "30794534" } [5]=> array(3) { ["idtype"]=> string(3) "eid" ["idtypen"]=> int(8) ["value"]=> string(8) "30794534" } [6]=> array(3) { ["idtype"]=> string(5) "pmcid" ["idtypen"]=> int(5) ["value"]=> string(19) "pmc-id: PMC6402699;" } } ["history"]=> array(6) { [0]=> array(2) { ["pubstatus"]=> string(8) "received" ["date"]=> string(16) "2018/08/23 00:00" } [1]=> array(2) { ["pubstatus"]=> string(8) "accepted" ["date"]=> string(16) "2019/01/18 00:00" } [2]=> array(2) { ["pubstatus"]=> string(7) "revised" ["date"]=> string(16) "2019/03/06 00:00" } [3]=> array(2) { ["pubstatus"]=> string(6) "pubmed" ["date"]=> string(16) "2019/02/23 06:00" } [4]=> array(2) { ["pubstatus"]=> string(7) "medline" ["date"]=> string(16) "2019/11/26 06:00" } [5]=> array(2) { ["pubstatus"]=> string(6) "entrez" ["date"]=> string(16) "2019/02/23 06:00" } } ["references"]=> array(0) { } ["attributes"]=> array(1) { [0]=> string(12) "Has Abstract" } ["pmcrefcount"]=> int(10) ["fulljournalname"]=> string(12) "PLoS biology" ["elocationid"]=> string(33) "doi: 10.1371/journal.pbio.3000135" ["doctype"]=> string(8) "citation" ["srccontriblist"]=> array(0) { } ["booktitle"]=> string(0) "" ["medium"]=> string(0) "" ["edition"]=> string(0) "" ["publisherlocation"]=> string(0) "" ["publishername"]=> string(0) "" ["srcdate"]=> string(0) "" ["reportnumber"]=> string(0) "" ["availablefromurl"]=> string(0) "" ["locationlabel"]=> string(0) "" ["doccontriblist"]=> array(0) { } ["docdate"]=> string(0) "" ["bookname"]=> string(0) "" ["chapter"]=> string(0) "" ["sortpubdate"]=> string(16) "2019/02/22 00:00" ["sortfirstauthor"]=> string(8) "Hart SFM" ["vernaculartitle"]=> string(0) "" } [31598380]=> array(43) { ["uid"]=> string(8) "31598380" ["pubdate"]=> string(8) "2018 Jun" ["epubdate"]=> string(11) "2018 Jul 26" ["source"]=> string(10) "Quant Biol" ["authors"]=> array(5) { [0]=> array(3) { ["name"]=> string(10) "Skelding D" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [1]=> array(3) { ["name"]=> string(8) "Hart SFM" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [2]=> array(3) { ["name"]=> string(12) "Vidyasagar T" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [3]=> array(3) { ["name"]=> string(12) "Pozhitkov AE" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } [4]=> array(3) { ["name"]=> string(6) "Shou W" ["authtype"]=> string(6) "Author" ["clusterid"]=> string(0) "" } } ["lastauthor"]=> string(6) "Shou W" ["title"]=> string(94) "Developing a low-cost milliliter-scale chemostat array for precise control of cellular growth." ["sorttitle"]=> string(93) "developing a low cost milliliter scale chemostat array for precise control of cellular growth" ["volume"]=> string(1) "6" ["issue"]=> string(1) "2" ["pages"]=> string(7) "129-141" ["lang"]=> array(1) { [0]=> string(3) "eng" } ["nlmuniqueid"]=> string(9) "101639642" ["issn"]=> string(9) "2095-4689" ["essn"]=> string(9) "2095-4697" ["pubtype"]=> array(1) { [0]=> string(15) "Journal Article" } ["recordstatus"]=> string(6) "PubMed" ["pubstatus"]=> string(3) "256" ["articleids"]=> array(7) { [0]=> array(3) { ["idtype"]=> string(6) "pubmed" ["idtypen"]=> int(1) ["value"]=> string(8) "31598380" } [1]=> array(3) { ["idtype"]=> string(3) "doi" ["idtypen"]=> int(3) ["value"]=> string(25) "10.1007/s40484-018-0143-8" } [2]=> array(3) { ["idtype"]=> string(3) "pmc" ["idtypen"]=> int(8) ["value"]=> string(10) "PMC6785052" } [3]=> array(3) { ["idtype"]=> string(3) "mid" ["idtypen"]=> int(8) ["value"]=> string(12) "NIHMS1049724" } [4]=> array(3) { ["idtype"]=> string(3) "rid" ["idtypen"]=> int(8) ["value"]=> string(8) "31598380" } [5]=> array(3) { ["idtype"]=> string(3) "eid" ["idtypen"]=> int(8) ["value"]=> string(8) "31598380" } [6]=> array(3) { ["idtype"]=> string(5) "pmcid" ["idtypen"]=> int(5) ["value"]=> string(47) "pmc-id: PMC6785052;manuscript-id: NIHMS1049724;" } } ["history"]=> array(3) { [0]=> array(2) { ["pubstatus"]=> string(6) "entrez" ["date"]=> string(16) "2019/10/11 06:00" } [1]=> array(2) { ["pubstatus"]=> string(6) "pubmed" ["date"]=> string(16) "2018/06/01 00:00" } [2]=> array(2) { ["pubstatus"]=> string(7) "medline" ["date"]=> string(16) "2018/06/01 00:01" } } ["references"]=> array(0) { } ["attributes"]=> array(1) { [0]=> string(12) "Has Abstract" } ["pmcrefcount"]=> int(2) ["fulljournalname"]=> string(37) "Quantitative biology (Beijing, China)" ["elocationid"]=> string(30) "doi: 10.1007/s40484-018-0143-8" ["doctype"]=> string(8) "citation" ["srccontriblist"]=> array(0) { } ["booktitle"]=> string(0) "" ["medium"]=> string(0) "" ["edition"]=> string(0) "" ["publisherlocation"]=> string(0) "" ["publishername"]=> string(0) "" ["srcdate"]=> string(0) "" ["reportnumber"]=> string(0) "" ["availablefromurl"]=> string(0) "" ["locationlabel"]=> string(0) "" ["doccontriblist"]=> array(0) { } ["docdate"]=> string(0) "" ["bookname"]=> string(0) "" ["chapter"]=> string(0) "" ["sortpubdate"]=> string(16) "2018/06/01 00:00" ["sortfirstauthor"]=> string(10) "Skelding D" ["vernaculartitle"]=> string(0) "" } } }