cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/examiner-c44-82327
title: Publisher to seek federal indictments against Senator McCarthy, 1954

description: 6 images. Publisher to seek federal indictments against Senator McCarthy, 8 April 1954. H.M. (Hank) Greenspun -- 44 years (publisher of Las Vegas Sun); Mrs. Barbara Greenspun (wife).; Caption slip reads: "Photographer: Mitchell. Date: 1954-04-08. Reporter: Brown. Assignment: Publisher Indicted. 59/60/53/79/80: H.M. (Hank) Greenspun, 44, publisher of Las Vegas Sun. 54, l. to r.: Mrs. Barbara Greenspun; H.M. Greenspun".
DOI: 10.15468/dl.w4dxee
title: Occurrence Download

description: A dataset containing 89814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-500.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Pacifastacus leniusculus (Dana, 1852)"
 ]
}

 The dataset includes 89814 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015455-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/examiner-c44-82479
title: 25 years of judicial bench, 1952

description: 4 images. 25 years of judicial bench, 1 August 1952. Judge Charles W. Fricke.
DOI: 10.25402/fon.17113502
title: Supplementary Table 1: Unsupervised learning of cross-modal mappings in multi-omics data for survival stratification of gastric cancer

description: Supplementary Table 1. Unsupervised learning of cross-modal mappings in multi-omics data for survival stratification of gastric cancerSelection of optimal hidden layer presentation nodes<br>AbstractPurpose: This study presents a survival-stratification model based on muti-omics integration using BiDNNs in GC. Methods: Based on the survival-related representation features yielded by BiDNNs through integrating transcriptomics and epigenomics data, K-means clustering analysis was performed to cluster tumor samples into different survival subgroups. The BiDNNs-based model was validated using 10-fold cross-validation and in two independent confirmation cohorts. Results: Using the BiDNNs-based survival stratification model, patients were grouped into two survival subgroups with log-rank P value=9.05E-05. The subgroups classification was robustly validated in 10-fold cross-validation (C-index=0.65±0.02) and in two confirmation cohorts (E-GEOD-26253, C-index=0.609; E-GEOD-62254, C-index=0.706). Conclusion: We propose and validate a robust and stable BiDNNs-based survival stratification model in GC.<br>
DOI: 10.25549/examiner-c44-82255
title: Sheriff meets Sheriff, 1954

description: 2 images. Sheriff meets Sheriff, 14 April 1954. Sheriff Eugene W. Biscailuz; Sheriff Tommy Gibbons.; Caption slip reads: "Photographer: Hecht. Date: 1954-11-14. Reporter: Hertel. Assignment: Sheriff meets Sheriff. 5/6: Sheriff Eugene Biscailuz; and Sheriff Tommy Gibbons".
DOI: 10.25402/fon.17113517
title: Supplementary Table 2: Unsupervised learning of cross-modal mappings in multi-omics data for survival stratification of gastric cancer

description: Supplementary Table 2. Unsupervised learning of cross-modal mappings in multi-omics data for survival stratification of gastric cancerDetermination of optimal cluster number K<br>AbstractPurpose: This study presents a survival-stratification model based on muti-omics integration using BiDNNs in GC. Methods: Based on the survival-related representation features yielded by BiDNNs through integrating transcriptomics and epigenomics data, K-means clustering analysis was performed to cluster tumor samples into different survival subgroups. The BiDNNs-based model was validated using 10-fold cross-validation and in two independent confirmation cohorts. Results: Using the BiDNNs-based survival stratification model, patients were grouped into two survival subgroups with log-rank P value=9.05E-05. The subgroups classification was robustly validated in 10-fold cross-validation (C-index=0.65±0.02) and in two confirmation cohorts (E-GEOD-26253, C-index=0.609; E-GEOD-62254, C-index=0.706). Conclusion: We propose and validate a robust and stable BiDNNs-based survival stratification model in GC.<br><br>
DOI: 10.25549/examiner-c44-79160
title: Physicians and Surgeon's 100,000th patient, 1954

description: 4 images. Physicians and Surgeon's 100,000th patient, 19 August 1954. Dr. William J. Matousek; Mrs. Gwenavere G. Noble -- 29 years (100,000 patient holding newly born daughter); Wendel Noble (TV master of ceremonies).; Caption Slip Reads: "Photographer: Rustan. Date:1954-08-19. Reporter: Brown. Assignment: Physician and Surgeons' 100,000th patient. 39/40/7/8: l/r, Dr. William J. Matousek, chairman, hospital board of directors; Mrs. Gwenavere G. Noble, 29, hospital's 100,000th patient, holding Julie Gwen, new-born daugher; Wendell Noble, TV master-of-ceremonies".
DOI: 10.25402/fon.17113523
title: Supplementary Table 3: Unsupervised learning of cross-modal mappings in multi-omics data for survival stratification of gastric cancer

description: Supplementary Table 3. Unsupervised learning of cross-modal mappings in multi-omics data for survival stratification of gastric cancerPredicted subgroup label of samples in TCGA set<br>AbstractPurpose: This study presents a survival-stratification model based on muti-omics integration using BiDNNs in GC. Methods: Based on the survival-related representation features yielded by BiDNNs through integrating transcriptomics and epigenomics data, K-means clustering analysis was performed to cluster tumor samples into different survival subgroups. The BiDNNs-based model was validated using 10-fold cross-validation and in two independent confirmation cohorts. Results: Using the BiDNNs-based survival stratification model, patients were grouped into two survival subgroups with log-rank P value=9.05E-05. The subgroups classification was robustly validated in 10-fold cross-validation (C-index=0.65±0.02) and in two confirmation cohorts (E-GEOD-26253, C-index=0.609; E-GEOD-62254, C-index=0.706). Conclusion: We propose and validate a robust and stable BiDNNs-based survival stratification model in GC.<br>
DOI: 10.25549/examiner-c44-55200
title: Skid row negatives, 1955

description: 12 images. Skid row negatives, 28 January 1955. Showing flop houses; Showing a well-lighted street.; Caption slip reads: "Negatives to desk for Massard. Photographer: Miller. Date: 1955-01-28. Reporter: Massard. Assignment: Weingart tour. 1-2: Renovated hotel at 518 San Julian St. and ramshackle structures at side. 103-104, 49-50: Julius Willig in his neat, cheap hotel room. 23: Shot of worn-out San Julian Street".
DOI: 10.25402/fon.17113529
title: Supplementary Table 4: Unsupervised learning of cross-modal mappings in multi-omics data for survival stratification of gastric cancer

description: Supplementary Table 4. Unsupervised learning of cross-modal mappings in multi-omics data for survival stratification of gastric cancerTop 30 mRNA features and top 45 methylation features according to ANOVA F value<br>AbstractPurpose: This study presents a survival-stratification model based on muti-omics integration using BiDNNs in GC. Methods: Based on the survival-related representation features yielded by BiDNNs through integrating transcriptomics and epigenomics data, K-means clustering analysis was performed to cluster tumor samples into different survival subgroups. The BiDNNs-based model was validated using 10-fold cross-validation and in two independent confirmation cohorts. Results: Using the BiDNNs-based survival stratification model, patients were grouped into two survival subgroups with log-rank P value=9.05E-05. The subgroups classification was robustly validated in 10-fold cross-validation (C-index=0.65±0.02) and in two confirmation cohorts (E-GEOD-26253, C-index=0.609; E-GEOD-62254, C-index=0.706). Conclusion: We propose and validate a robust and stable BiDNNs-based survival stratification model in GC.<br>
DOI: 10.25549/examiner-c44-48128
title: Atom blast (taken in M. E.'s office) Channel 4 on KNBH, 1952

description: 12 images. Atom blast (taken in M. E.'s office) Channel 4 on KNBH, 22 April 1952.
DOI: 10.25402/fon.17113550
title: Supplementary Table 5: Unsupervised learning of cross-modal mappings in multi-omics data for survival stratification of gastric cancer

description: Supplementary Table 5. Unsupervised learning of cross-modal mappings in multi-omics data for survival stratification of gastric cancerSignificant pathways for up-regulated and down-regulated genes<br>AbstractPurpose: This study presents a survival-stratification model based on muti-omics integration using BiDNNs in GC. Methods: Based on the survival-related representation features yielded by BiDNNs through integrating transcriptomics and epigenomics data, K-means clustering analysis was performed to cluster tumor samples into different survival subgroups. The BiDNNs-based model was validated using 10-fold cross-validation and in two independent confirmation cohorts. Results: Using the BiDNNs-based survival stratification model, patients were grouped into two survival subgroups with log-rank P value=9.05E-05. The subgroups classification was robustly validated in 10-fold cross-validation (C-index=0.65±0.02) and in two confirmation cohorts (E-GEOD-26253, C-index=0.609; E-GEOD-62254, C-index=0.706). Conclusion: We propose and validate a robust and stable BiDNNs-based survival stratification model in GC.<br>
DOI: 10.25549/examiner-c44-81233
title: Annual report, 1957

description: 12 images. Annual report, 21 May 1957. Asphalt plant (City Asphalt Plant at 12251 Sherman Way, North Hollywood); Overall views; Henry Aust; Cecil Wright; Clyde Pitman; Mrs. Edith Stafford; John G. Fox; Clyde Lakey; Neg. of Sunland Municipal building.; Caption slip reads: "Photographer: Glickman. Date: 1957-05-21. Assignment: Annual report. Special instructions: Negs. to Mr. Richardson -- Asphalt plant. G300/302/303: Overall views of City Asphalt plant, 12251 Sherman Way, No. Hollywood. G301: Rear view of plant showing 3 water tanks on right. These are wet washers to eliminate smog particles that are missed by multicyclone driers. G111: henry Aust checks over electronic control panel interior. This panel controls loading of machines. G112: Cecil Wright, foreman of plant shows off main control panel of above picture. G205: Clyde Pitman operates entire loading and mixing from this panel in plant. G206: Electonically operated conveyor belt speeds raw materials to mixing machines as L.R. McConnell watches smooth flowing operation".; Other Caption slip reads: "Photographer: Glickman. Date: 1957-05-21. Assignment: Annual report. Special instructions: Negs. to Mrs. Richardson -- Sunland Municipal building. G212/213/214/215: Views of the New Sunland-Tujunga Municipal Building, 7747 Foothill Blvd., Tujunga".
DOI: 10.25549/examiner-c44-80979
title: Narcotic case, 1957

description: 4 images. Narcotic case, 07 February 1957. Richard and Evelyn Dillon (husband and wife suspects).; Caption slip reads: "Photographer: Hecht. Date: 1957-02-07. Reporter: Emerson. Assignment: Narcotics Case. 14: Richard and Evelyn Dillon. 88/89: (Husband and wife - suspects)."
DOI: 10.25402/fon.17128781
title: Supplementary Table 1: Diagnostic and economic value of biomarker testing for targetable mutations in NSCLC: a literature review

description: Supplementary Table 1: Embase® and MEDLINE® Search Strategy<br>Abstract<br>To assess the diagnostic and economic value of next-generation se-quencing (NGS) vs single-gene testing, and liquid biopsy (LBx) vs tissue biopsy (TBx) in NSCLC biomarker testing through literature review. Embase® and MEDLINE® were searched to identify relevant studies (N=43) from 2015 to 2020 in adults with advanced NSCLC. For NGS vs single-gene testing, concordance was 70–99%, sensitivity was 86–100%. For LBx vs TBx, specificity was 43–100%, sensitivity was ≥60%. Turnaround times were longer for NGS vs single-gene testing (but not vs sequential testing) and faster for LBx vs TBx. NGS was cost-effective, and LBx reduced US per-patient costs. NGS vs single-gene testing and LBx vs TBx were concordant. NGS and LBx may be cost-effective for initial screening.<br><br>
DOI: 10.25402/fon.17128781.v1
title: Supplementary Table 1: Diagnostic and economic value of biomarker testing for targetable mutations in NSCLC: a literature review

description: Supplementary Table 1: Embase® and MEDLINE® Search Strategy<br>Abstract<br>To assess the diagnostic and economic value of next-generation se-quencing (NGS) vs single-gene testing, and liquid biopsy (LBx) vs tissue biopsy (TBx) in NSCLC biomarker testing through literature review. Embase® and MEDLINE® were searched to identify relevant studies (N=43) from 2015 to 2020 in adults with advanced NSCLC. For NGS vs single-gene testing, concordance was 70–99%, sensitivity was 86–100%. For LBx vs TBx, specificity was 43–100%, sensitivity was ≥60%. Turnaround times were longer for NGS vs single-gene testing (but not vs sequential testing) and faster for LBx vs TBx. NGS was cost-effective, and LBx reduced US per-patient costs. NGS vs single-gene testing and LBx vs TBx were concordant. NGS and LBx may be cost-effective for initial screening.<br><br>
DOI: 10.25549/examiner-c44-45130
title: Carol luncheon, Beverly Hills Hotel, 1952

description: 3 images. Carol luncheon, Beverly Hills Hotel. 24 December 1952. Reese Milner the Second, 4; John Milner, 2; Owen Milner, 14; Mr. and Mrs. Reese Milner; Judy Booth, 8; Pamela Murdock, 12; Art Linkletter as Santa Claus.; Caption slip reads: "Photographer: Brunk. Date: 12-24. Assignment: Carol luncheon, Beverly Hills Hotel. 71-72: Reese Milner II, 4; John Milner, 2; Mrs. Reese Milner; Owen Milner, 14; Mr. Reese Milner. 1 and 2: Judy Booth, 8; Pamela Murdock, 12; Mrs. John Murdock; Art Linkletter as Santa Claus".
DOI: 10.25402/fon.17142908
title: Supplementary Table 1. Soluble programmed cell death ligand 1 as a predictive biomarker in lung cancer: a systematic review and meta-analysis

description: Supplementary Table 1. Soluble programmed cell death ligand 1 as a predictive biomarker in lung cancer: a systematic review and meta-analysisQuality assessment of all studies by Newcastle-Ottawa scale.<br>AbstractBackground: We performed a meta-analysis to evaluate the association between soluble programmed cell death ligand 1 (sPD-L1) and survival outcomes and treatment response in lung cancer. Methods & methods: Eligible studies were obtained by searching PubMed, EMBASE and Web of Science. Pooled effect estimates were calculated for overall survival (OS), progression-free survival (PFS) and objective response rate (ORR). Results: Twelve eligible studies with 1188 lung cancer patients were included. High sPD-L1 was significantly associated with worse OS (hazard ratio [HR]=2.20, 95%CI: 1.59-3.05, P&lt;0.001) and PFS (HR=2.42, 95%CI: 1.72-3.42, P&lt;0.001) in patients treated with immune checkpoint inhibitors (ICIs). Meanwhile, high sPD-L1 predicted worse OS (HR=1.60, 95%CI: 1.31-1.96, P&lt;0.001) and lower ORR (odds ratio=0.52, 95%CI: 0.35-0.80, P=0.002) in patients treated with non-ICI therapies. Conclusion: sPD-L1 is a potential predictive biomarker of lung cancer. <br>
DOI: 10.25549/examiner-c44-81169
title: Nixon speaking at high school in Whittier, 1956

description: 9 images. Nixon speaking at high school in Whittier, 18 September 1956. Richard Nixon (enters auditorium); Governor Goodwin Knight; Crowd shots; Pat Nixon; Henry Kearns.; Caption slip reads: "Photographer: Snow. Date: 1956-09-18. Reporter: Harmon. Assignment: Nixon -- H.S. in Whittier. 9, L/R: Pat Nixon; Dick Nixon; Henry Kearns, So. Cal. chairman of Ike-Nixon campaign, pinning Kuchel button on Nixon. Nixon enters auditorium. Nixon speaking; seated at left, Pat Nixon & Gov. Knight. 95/96: Crowd shots. Nixon & Knight shake hands. Crowds outside; Nixon, Pat & his mother".
DOI: 10.25402/fon.17142908.v2
title: Supplementary Table 1. Soluble programmed cell death ligand 1 as a predictive biomarker in lung cancer: a systematic review and meta-analysis

description: Supplementary Table 1. Soluble programmed cell death ligand 1 as a predictive biomarker in lung cancer: a systematic review and meta-analysisQuality assessment of all studies by Newcastle-Ottawa scale.<br>AbstractBackground: We performed a meta-analysis to evaluate the association between soluble programmed cell death ligand 1 (sPD-L1) and survival outcomes and treatment response in lung cancer. Methods & methods: Eligible studies were obtained by searching PubMed, EMBASE and Web of Science. Pooled effect estimates were calculated for overall survival (OS), progression-free survival (PFS) and objective response rate (ORR). Results: Twelve eligible studies with 1188 lung cancer patients were included. High sPD-L1 was significantly associated with worse OS (hazard ratio [HR]=2.20, 95%CI: 1.59-3.05, P&lt;0.001) and PFS (HR=2.42, 95%CI: 1.72-3.42, P&lt;0.001) in patients treated with immune checkpoint inhibitors (ICIs). Meanwhile, high sPD-L1 predicted worse OS (HR=1.60, 95%CI: 1.31-1.96, P&lt;0.001) and lower ORR (odds ratio=0.52, 95%CI: 0.35-0.80, P=0.002) in patients treated with non-ICI therapies. Conclusion: sPD-L1 is a potential predictive biomarker of lung cancer. <br>
DOI: 10.25402/fon.17142938
title: Supplementary Table 2. Soluble programmed cell death ligand 1 as a predictive biomarker in lung cancer: a systematic review and meta-analysis

description: Supplementary Table 2. Soluble programmed cell death ligand 1 as a predictive biomarker in lung cancer: a systematic review and meta-analysisScores of eligible studies according to REMARK criteria<br>AbstractBackground: We performed a meta-analysis to evaluate the association between soluble programmed cell death ligand 1 (sPD-L1) and survival outcomes and treatment response in lung cancer. Methods & methods: Eligible studies were obtained by searching PubMed, EMBASE and Web of Science. Pooled effect estimates were calculated for overall survival (OS), progression-free survival (PFS) and objective response rate (ORR). Results: Twelve eligible studies with 1188 lung cancer patients were included. High sPD-L1 was significantly associated with worse OS (hazard ratio [HR]=2.20, 95%CI: 1.59-3.05, P&lt;0.001) and PFS (HR=2.42, 95%CI: 1.72-3.42, P&lt;0.001) in patients treated with immune checkpoint inhibitors (ICIs). Meanwhile, high sPD-L1 predicted worse OS (HR=1.60, 95%CI: 1.31-1.96, P&lt;0.001) and lower ORR (odds ratio=0.52, 95%CI: 0.35-0.80, P=0.002) in patients treated with non-ICI therapies. Conclusion: sPD-L1 is a potential predictive biomarker of lung cancer. <br>
DOI: 10.25549/examiner-c44-55349
title: Helen Keller arrives at International Airport, 1955

description: 4 images. Helen Keller arrives at International Airport, 8 June 1955. Helen Keller; Polly Thomson; Kids from Malabar Street School.; Caption slip reads: "Photographer: Miller. Reporter: Hartt. Assignment: Helen Keller arrives at International airport. Helen Keller and Polly Thomson with kids from Malabar Street School, 1st grade".
DOI: 10.25402/fon.17142938.v2
title: Supplementary Table 2. Soluble programmed cell death ligand 1 as a predictive biomarker in lung cancer: a systematic review and meta-analysis

description: Supplementary Table 2. Soluble programmed cell death ligand 1 as a predictive biomarker in lung cancer: a systematic review and meta-analysisScores of eligible studies according to REMARK criteria<br>AbstractBackground: We performed a meta-analysis to evaluate the association between soluble programmed cell death ligand 1 (sPD-L1) and survival outcomes and treatment response in lung cancer. Methods & methods: Eligible studies were obtained by searching PubMed, EMBASE and Web of Science. Pooled effect estimates were calculated for overall survival (OS), progression-free survival (PFS) and objective response rate (ORR). Results: Twelve eligible studies with 1188 lung cancer patients were included. High sPD-L1 was significantly associated with worse OS (hazard ratio [HR]=2.20, 95%CI: 1.59-3.05, P&lt;0.001) and PFS (HR=2.42, 95%CI: 1.72-3.42, P&lt;0.001) in patients treated with immune checkpoint inhibitors (ICIs). Meanwhile, high sPD-L1 predicted worse OS (HR=1.60, 95%CI: 1.31-1.96, P&lt;0.001) and lower ORR (odds ratio=0.52, 95%CI: 0.35-0.80, P=0.002) in patients treated with non-ICI therapies. Conclusion: sPD-L1 is a potential predictive biomarker of lung cancer. <br>
DOI: 10.25402/fon.17142965
title: Supplementary Table 3. Soluble programmed cell death ligand 1 as a predictive biomarker in lung cancer: a systematic review and meta-analysis

description: Supplementary Table 3. Soluble programmed cell death ligand 1 as a predictive biomarker in lung cancer: a systematic review and meta-analysisSummary of additional characteristics of eligible studies<br>AbstractBackground: We performed a meta-analysis to evaluate the association between soluble programmed cell death ligand 1 (sPD-L1) and survival outcomes and treatment response in lung cancer. Methods & methods: Eligible studies were obtained by searching PubMed, EMBASE and Web of Science. Pooled effect estimates were calculated for overall survival (OS), progression-free survival (PFS) and objective response rate (ORR). Results: Twelve eligible studies with 1188 lung cancer patients were included. High sPD-L1 was significantly associated with worse OS (hazard ratio [HR]=2.20, 95%CI: 1.59-3.05, P&lt;0.001) and PFS (HR=2.42, 95%CI: 1.72-3.42, P&lt;0.001) in patients treated with immune checkpoint inhibitors (ICIs). Meanwhile, high sPD-L1 predicted worse OS (HR=1.60, 95%CI: 1.31-1.96, P&lt;0.001) and lower ORR (odds ratio=0.52, 95%CI: 0.35-0.80, P=0.002) in patients treated with non-ICI therapies. Conclusion: sPD-L1 is a potential predictive biomarker of lung cancer. <br>
DOI: 10.25549/examiner-c44-55305
title: Fire Commission meeting, 1955

description: 5 images. Fire Commission meeting, 16 June 1955. Robert A. Hatfield; John Alderson (Fire Chief); Mrs. Olive Baker -- 60 years; Edward C. Maddox; Roy Sheldon; C.F. Joscelyn; G. William Shea; Dr. Richard Sneed; Robert A. Day.; Caption slip reads: "Photographer: Paegel. Date: 1955-06-16. Reporter: T.T. Assignment: Fire commission meeting. 49/50: Robert A. Hatfield; John Anderson, Fire Chief. Mrs. Olive Baker, 60, who addressed Board of Fire Cimmissioners. Edward C. Maddox, Attorney, National Association Advancement Colored People. Rear to front: Roy H. Sheldon; C.F. Joscelyn; G. William Shea; Dr. J. Richard Sneed; Robert A. Day. - Story".
DOI: 10.25402/fon.17142965.v2
title: Supplementary Table 3. Soluble programmed cell death ligand 1 as a predictive biomarker in lung cancer: a systematic review and meta-analysis

description: Supplementary Table 3. Soluble programmed cell death ligand 1 as a predictive biomarker in lung cancer: a systematic review and meta-analysisSummary of additional characteristics of eligible studies<br>AbstractBackground: We performed a meta-analysis to evaluate the association between soluble programmed cell death ligand 1 (sPD-L1) and survival outcomes and treatment response in lung cancer. Methods & methods: Eligible studies were obtained by searching PubMed, EMBASE and Web of Science. Pooled effect estimates were calculated for overall survival (OS), progression-free survival (PFS) and objective response rate (ORR). Results: Twelve eligible studies with 1188 lung cancer patients were included. High sPD-L1 was significantly associated with worse OS (hazard ratio [HR]=2.20, 95%CI: 1.59-3.05, P&lt;0.001) and PFS (HR=2.42, 95%CI: 1.72-3.42, P&lt;0.001) in patients treated with immune checkpoint inhibitors (ICIs). Meanwhile, high sPD-L1 predicted worse OS (HR=1.60, 95%CI: 1.31-1.96, P&lt;0.001) and lower ORR (odds ratio=0.52, 95%CI: 0.35-0.80, P=0.002) in patients treated with non-ICI therapies. Conclusion: sPD-L1 is a potential predictive biomarker of lung cancer. <br>