cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11981733.v1
title: Additional file 8 of Some data quality issues at ClinicalTrials.gov

description: Records with a completion date and registered with an authority in the USA. The data (58,685 records from Additional file 6: Table S4) were sorted into a “USA_ComplDate” sheet for trials registered with at least one authority in the US, and a “USA_ComplDate_leftovers” sheet with the remaining records. The data are presented in the following six Recruitment Type categories: (1) Active, not recruiting (3350 selected records with 2121 leftovers), (2) Completed (21,030; 17,967), (3) Enrolling by invitation (166; 175), (4) Recruiting (3167; 4666), (5) Suspended (134; 99), and (6) Terminated (3986; 1824). The sheets for these categories are numbered 1–6, respectively. (XLS 6129 kb)
DOI: 10.6084/m9.figshare.11981724
title: Additional file 5 of Some data quality issues at ClinicalTrials.gov

description: Records of drugs or biologicals. Records with “drug:”, “biological: ”, or both of these words in the “intervention” field are listed in a “Drugs+Bio” sheet, with the remaining in a “Drugs+Bio_leftovers” sheet. The data (79,838 records from Additional file 4: Table S2) are presented in the following six Recruitment Type categories: (1) Active, not recruiting (6742 selected records with 1840 leftovers), (2) Completed (41,451; 8561), (3) Enrolling by invitation (386; 220), (4) Recruiting (9379; 3612), (5) Suspended (339; 93), and (6) Terminated (6199; 1016). The sheets for these categories are numbered 1–6, respectively. The file is available at https://osf.io/jcb92 . (ODS 2830 kb)
DOI: 10.6084/m9.figshare.11981724.v1
title: Additional file 5 of Some data quality issues at ClinicalTrials.gov

description: Records of drugs or biologicals. Records with “drug:”, “biological: ”, or both of these words in the “intervention” field are listed in a “Drugs+Bio” sheet, with the remaining in a “Drugs+Bio_leftovers” sheet. The data (79,838 records from Additional file 4: Table S2) are presented in the following six Recruitment Type categories: (1) Active, not recruiting (6742 selected records with 1840 leftovers), (2) Completed (41,451; 8561), (3) Enrolling by invitation (386; 220), (4) Recruiting (9379; 3612), (5) Suspended (339; 93), and (6) Terminated (6199; 1016). The sheets for these categories are numbered 1–6, respectively. The file is available at https://osf.io/jcb92 . (ODS 2830 kb)
DOI: 10.6084/m9.figshare.11981727.v1
title: Additional file 6 of Some data quality issues at ClinicalTrials.gov

description: Records with a completion date. The data (64,496 records from Additional file 5: Table S3) were sorted into a “ComplDate” sheet for trials with completion dates, with the remaining records in a “ComplDate_leftovers” sheet. The data are presented in the following six Recruitment Type categories: (1) Active, not recruiting (5471 selected records with 1271 leftovers), (2) Completed (38,997; 2454), (3) Enrolling by invitation (341; 45), (4) Recruiting (7833; 1546), (5) Suspended (233; 106), and (6) Terminated (5810; 389). The sheets for these categories are numbered 1–6, respectively. The file is available at https://osf.io/jcb92 . (ODS 2300 kb)
DOI: 10.6084/m9.figshare.11981718
title: Additional file 3 of Some data quality issues at ClinicalTrials.gov

description: Data (112,013 records) comprises a spliced version of the 26 fields in tsv format and one field obtained from the XML files. The data are presented in the following six Recruitment Type categories: (1) Active, not recruiting (11,094 records), (2) Completed (67,294), (3) Enrolling by invitation (1022), (4) Recruiting (23,223), (5) Suspended (597), and (6) Terminated (8783). The sheets are numbered 1–6, respectively. The file is available at https://osf.io/jcb92 . (ZIP 4860 kb)
DOI: 10.6084/m9.figshare.11981721
title: Additional file 4 of Some data quality issues at ClinicalTrials.gov

description: Records selected for their start dates. Records having a “Start date” from 1 January 2005 to 31 Deccember 2014 (both inclusive) are listed in a “StartDate” sheet, with the remaining records in a “StartDate_leftovers” sheet. The data (112,013 records from Additional file 3: Table S1) are presented in the following six Recruitment Type categories: (1) Active, not recruiting (8582 selected records, with 2512 leftovers), (2) Completed (50,012; 17,282), (3) Enrolling by invitation (606; 416), (4) Recruiting (12,991; 10,232), (5) Suspended (432; 165), and (6) Terminated (7215, 1568). The sheets are numbered 1–6, respectively. The file is available at https://osf.io/jcb92 . (ODS 3850 kb)
DOI: 10.6084/m9.figshare.11981721.v1
title: Additional file 4 of Some data quality issues at ClinicalTrials.gov

description: Records selected for their start dates. Records having a “Start date” from 1 January 2005 to 31 Deccember 2014 (both inclusive) are listed in a “StartDate” sheet, with the remaining records in a “StartDate_leftovers” sheet. The data (112,013 records from Additional file 3: Table S1) are presented in the following six Recruitment Type categories: (1) Active, not recruiting (8582 selected records, with 2512 leftovers), (2) Completed (50,012; 17,282), (3) Enrolling by invitation (606; 416), (4) Recruiting (12,991; 10,232), (5) Suspended (432; 165), and (6) Terminated (7215, 1568). The sheets are numbered 1–6, respectively. The file is available at https://osf.io/jcb92 . (ODS 3850 kb)
DOI: 10.6084/m9.figshare.11981715
title: Additional file 2 of Some data quality issues at ClinicalTrials.gov

description: S1. Folder: The scripts used to process particular steps. The folder is available at https://osf.io/jcb92 . (ZIP 10 kb)
DOI: 10.6084/m9.figshare.11981718.v1
title: Additional file 3 of Some data quality issues at ClinicalTrials.gov

description: Data (112,013 records) comprises a spliced version of the 26 fields in tsv format and one field obtained from the XML files. The data are presented in the following six Recruitment Type categories: (1) Active, not recruiting (11,094 records), (2) Completed (67,294), (3) Enrolling by invitation (1022), (4) Recruiting (23,223), (5) Suspended (597), and (6) Terminated (8783). The sheets are numbered 1–6, respectively. The file is available at https://osf.io/jcb92 . (ZIP 4860 kb)
DOI: 10.6084/m9.figshare.11981709
title: Additional file 20 of Some data quality issues at ClinicalTrials.gov

description: Processing of PI names to identify ambiguities—step 4. (XLSX 553 kb)
DOI: 10.6084/m9.figshare.11981712
title: Additional file 21 of Some data quality issues at ClinicalTrials.gov

description: Whether PI information is available from Responsible Party. (XLSX 1495 kb)
DOI: 10.6084/m9.figshare.11981715.v1
title: Additional file 2 of Some data quality issues at ClinicalTrials.gov

description: S1. Folder: The scripts used to process particular steps. The folder is available at https://osf.io/jcb92 . (ZIP 10 kb)
DOI: 10.6084/m9.figshare.11981709.v1
title: Additional file 20 of Some data quality issues at ClinicalTrials.gov

description: Processing of PI names to identify ambiguities—step 4. (XLSX 553 kb)
DOI: 10.6084/m9.figshare.11981712.v1
title: Additional file 21 of Some data quality issues at ClinicalTrials.gov

description: Whether PI information is available from Responsible Party. (XLSX 1495 kb)
DOI: 10.6084/m9.figshare.11981700
title: Additional file 18 of Some data quality issues at ClinicalTrials.gov

description: Processing of PI names to identify ambiguities—step 2. (XLSX 1406 kb)
DOI: 10.6084/m9.figshare.11981703
title: Additional file 19 of Some data quality issues at ClinicalTrials.gov

description: Processing of PI names to identify ambiguities—step 3. (XLSX 2105 kb)
DOI: 10.6084/m9.figshare.11981697
title: Additional file 17 of Some data quality issues at ClinicalTrials.gov

description: Processing of PI names to identify ambiguities—step 1. (XLSX 3330 kb)
DOI: 10.6084/m9.figshare.11981700.v1
title: Additional file 18 of Some data quality issues at ClinicalTrials.gov

description: Processing of PI names to identify ambiguities—step 2. (XLSX 1406 kb)
DOI: 10.6084/m9.figshare.11981703.v1
title: Additional file 19 of Some data quality issues at ClinicalTrials.gov

description: Processing of PI names to identify ambiguities—step 3. (XLSX 2105 kb)
DOI: 10.6084/m9.figshare.11981691
title: Additional file 15 of Some data quality issues at ClinicalTrials.gov

description: PIs in the history records of a sample of Additional file 10: Table S8 rejects and Additional file 13: Table S11 rejects. (ODS 219 kb)
DOI: 10.6084/m9.figshare.11981694
title: Additional file 16 of Some data quality issues at ClinicalTrials.gov

description: Processing of PI names to identify ambiguities. An overview of Additional file 17: Table S15 to Additional file 20: Table S18. (ODS 22 kb)
DOI: 10.6084/m9.figshare.11981697.v1
title: Additional file 17 of Some data quality issues at ClinicalTrials.gov

description: Processing of PI names to identify ambiguities—step 1. (XLSX 3330 kb)
DOI: 10.6084/m9.figshare.11981688
title: Additional file 14 of Some data quality issues at ClinicalTrials.gov

description: The 10,572 rejected rows in Additional file 13: Table S11 came from 8907 unique NCT IDs. (ODS 203 kb)
DOI: 10.6084/m9.figshare.11981691.v1
title: Additional file 15 of Some data quality issues at ClinicalTrials.gov

description: PIs in the history records of a sample of Additional file 10: Table S8 rejects and Additional file 13: Table S11 rejects. (ODS 219 kb)
DOI: 10.6084/m9.figshare.11981694.v1
title: Additional file 16 of Some data quality issues at ClinicalTrials.gov

description: Processing of PI names to identify ambiguities. An overview of Additional file 17: Table S15 to Additional file 20: Table S18. (ODS 22 kb)
DOI: 10.6084/m9.figshare.11981682
title: Additional file 12 of Some data quality issues at ClinicalTrials.gov

description: Data in the form of individual investigators and their matching roles. The data (31,375 records from Additional file 11: Table S9) were sorted into a “LineByLine” sheet, where records that contained multiple names and roles were segregated such that each row contains one name and the corresponding role. The data are presented in the following six Recruitment Type categories: (1) Active, not recruiting (4805 records), (2) Completed (24,135), (3) Enrolling by invitation (201), (4) Recruiting (37,248), (5) Suspended (214), and (6) Terminated (4756). The sheets for these categories are numbered 1–6, respectively. (XLS 5686 kb)
DOI: 10.6084/m9.figshare.11981685
title: Additional file 13 of Some data quality issues at ClinicalTrials.gov

description: Data with real persons. The data (71,359 records from Additional file 12: Table S10) were sorted into a “Person” sheet with the records that had the names of real people in the “Last name” field, and a “NonPerson” sheet with the remaining junk records. The data are presented in the following six Recruitment Type categories: (1) Active, not recruiting (4112 selected records with 693 leftovers), (2) Completed (17,081; 7054), (3) Enrolling by invitation (190; 11), (4) Recruiting (35,447; 1801), (5) Suspended (206; 8), and (6) Terminated (3751; 1005). The sheets for these categories are numbered 1–6, respectively. (XLS 5690 kb)
DOI: 10.6084/m9.figshare.11981688.v1
title: Additional file 14 of Some data quality issues at ClinicalTrials.gov

description: The 10,572 rejected rows in Additional file 13: Table S11 came from 8907 unique NCT IDs. (ODS 203 kb)
DOI: 10.6084/m9.figshare.11981682.v1
title: Additional file 12 of Some data quality issues at ClinicalTrials.gov

description: Data in the form of individual investigators and their matching roles. The data (31,375 records from Additional file 11: Table S9) were sorted into a “LineByLine” sheet, where records that contained multiple names and roles were segregated such that each row contains one name and the corresponding role. The data are presented in the following six Recruitment Type categories: (1) Active, not recruiting (4805 records), (2) Completed (24,135), (3) Enrolling by invitation (201), (4) Recruiting (37,248), (5) Suspended (214), and (6) Terminated (4756). The sheets for these categories are numbered 1–6, respectively. (XLS 5686 kb)
DOI: 10.25810/00zk-yj28.15
title: Norwegian Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - July 2020

description:         The Media and Climate Change Observatory Data monitors 117 sources (across newspapers, radio and TV) in 53 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.11981676
title: Additional file 10 of Some data quality issues at ClinicalTrials.gov

description: Records that list both the name and the role of the investigator. The names of the investigators and their corresponding roles were extracted from Additional file 8: Table S6 (31,833 records) and Additional file 9: Table S7 (3288 records). They were sorted into a “NameAndRole” sheet for trials that listed both the name and role of the investigator, and a “Nulls” sheet that listed the remaining records. The data are presented in the following six Recruitment Type categories: (1) Active, not recruiting (4052 selected records with 383 leftovers), (2) Completed (19,404; 2726), (3) Enrolling by invitation (162; 23), (4) Recruiting (3784; 156), (5) Suspended (182; 11), and (6) Terminated (3808; 430). The sheets for these categories are numbered 1–6, respectively. (XLS 6779 kb)
DOI: 10.6084/m9.figshare.11981679
title: Additional file 11 of Some data quality issues at ClinicalTrials.gov

description: Records that list matching numbers of names and roles of the investigators. The data (31,392 records from Additional file 10: Table S8) were sorted into the “MatchedPipes” sheet, where the number of pipes (each one of which delineates one name or role) was the same in the name and corresponding role cells, and an “UnmatchedPipes” sheet with the remaining records. The data are presented in the following six Recruitment Type categories: (1) Active, not recruiting (4051 selected records with 1 leftover), (2) Completed (19,392; 12), (3) Enrolling by invitation (162; 0), (4) Recruiting (3782; 2), (5) Suspended (181; 1), and (6) Terminated (3807; 1). The sheets for these categories are numbered 1–6, respectively. (XLS 6429 kb)
DOI: 10.6084/m9.figshare.11981685.v1
title: Additional file 13 of Some data quality issues at ClinicalTrials.gov

description: Data with real persons. The data (71,359 records from Additional file 12: Table S10) were sorted into a “Person” sheet with the records that had the names of real people in the “Last name” field, and a “NonPerson” sheet with the remaining junk records. The data are presented in the following six Recruitment Type categories: (1) Active, not recruiting (4112 selected records with 693 leftovers), (2) Completed (17,081; 7054), (3) Enrolling by invitation (190; 11), (4) Recruiting (35,447; 1801), (5) Suspended (206; 8), and (6) Terminated (3751; 1005). The sheets for these categories are numbered 1–6, respectively. (XLS 5690 kb)
DOI: 10.6084/m9.figshare.11981676.v1
title: Additional file 10 of Some data quality issues at ClinicalTrials.gov

description: Records that list both the name and the role of the investigator. The names of the investigators and their corresponding roles were extracted from Additional file 8: Table S6 (31,833 records) and Additional file 9: Table S7 (3288 records). They were sorted into a “NameAndRole” sheet for trials that listed both the name and role of the investigator, and a “Nulls” sheet that listed the remaining records. The data are presented in the following six Recruitment Type categories: (1) Active, not recruiting (4052 selected records with 383 leftovers), (2) Completed (19,404; 2726), (3) Enrolling by invitation (162; 23), (4) Recruiting (3784; 156), (5) Suspended (182; 11), and (6) Terminated (3808; 430). The sheets for these categories are numbered 1–6, respectively. (XLS 6779 kb)
DOI: 10.6084/m9.figshare.11981679.v1
title: Additional file 11 of Some data quality issues at ClinicalTrials.gov

description: Records that list matching numbers of names and roles of the investigators. The data (31,392 records from Additional file 10: Table S8) were sorted into the “MatchedPipes” sheet, where the number of pipes (each one of which delineates one name or role) was the same in the name and corresponding role cells, and an “UnmatchedPipes” sheet with the remaining records. The data are presented in the following six Recruitment Type categories: (1) Active, not recruiting (4051 selected records with 1 leftover), (2) Completed (19,392; 12), (3) Enrolling by invitation (162; 0), (4) Recruiting (3782; 2), (5) Suspended (181; 1), and (6) Terminated (3807; 1). The sheets for these categories are numbered 1–6, respectively. (XLS 6429 kb)
DOI: 10.6084/m9.figshare.11981388
title: Additional file 2 of Medical students’ perception on fecal microbiota transplantation

description: Additional file 2. Results.
DOI: 10.6084/m9.figshare.11981388.v1
title: Additional file 2 of Medical students’ perception on fecal microbiota transplantation

description: Additional file 2. Results.
DOI: 10.6084/m9.figshare.11981331
title: Understanding oil and gas pneumatic controllers in the Denver–Julesburg basin using optical gas imaging

description: In the spring of 2018, a 10-day field study was conducted in Colorado’s Denver-Julesburg oil and natural gas production basin to improve information on well pad pneumatic controller (PC) populations and identify PCs with potential maintenance issues (MIs) causing excess emissions through a novel optical gas imaging (OGI) survey approach. A total of 500 natural gas-emitting PCs servicing 102 wells (4.9 PCs/well) were surveyed at 31 facilities operated by seven different companies. The PCs were characterized by their designed operational function and applications, with 83% of the PC population identified as intermittent PCs (IPCs). An OGI inspection protocol was used to investigate emissions on 447 working PCs from this set. OGI detected continuous emissions from 11.3% of observed IPCs and these were classified as experiencing some level of MIs. OGI imaging modes were observed to have a significant effect on emission detectability with high sensitivity mode detection rates being approximately 2 times higher compared to auto mode. Fourteen snapshot emission measurements (not including actuations) were conducted on IPCs in this category using a high-volume sampling device with augmented quality assurance procedures with observed emissions rates ranging from 0.1 up to 31.3 scf/hr (mean = 2.8 scf/hr). For PCs with continuous depressurization type (CPC), 36.8% had continuous emissions observed by OGI. Four supporting emission measurements were conducted on CPCs with one unit exceeding the low bleed regulatory emission threshold with an emission rate of 9.9 scf/hr (mean = 4.2 scf/hr). Additional information was collected on PC actuation events, as observed with OGI, which showed a strong correlation between observed actuation events and facility production compared to observed continuous emissions caused by MIs which did not correlate with facility production. <i>Implications</i>: A novel survey approach of pneumatic controllers at oil and natural gas production facilities in the Denver-Julesburg basin, using optical gas imaging and supporting emission measurements, was demonstrated as an effective method to identify controllers with potential maintenance issues causing excess emissions. The results of the pneumatic controller and optical gas imaging surveys improved information on pneumatic controller populations within the basin and also demonstrated the significant effect optical gas imaging modes have on emission detections.
DOI: 10.6084/m9.figshare.11981331.v2
title: Understanding oil and gas pneumatic controllers in the Denver–Julesburg basin using optical gas imaging

description: In the spring of 2018, a 10-day field study was conducted in Colorado’s Denver-Julesburg oil and natural gas production basin to improve information on well pad pneumatic controller (PC) populations and identify PCs with potential maintenance issues (MIs) causing excess emissions through a novel optical gas imaging (OGI) survey approach. A total of 500 natural gas-emitting PCs servicing 102 wells (4.9 PCs/well) were surveyed at 31 facilities operated by seven different companies. The PCs were characterized by their designed operational function and applications, with 83% of the PC population identified as intermittent PCs (IPCs). An OGI inspection protocol was used to investigate emissions on 447 working PCs from this set. OGI detected continuous emissions from 11.3% of observed IPCs and these were classified as experiencing some level of MIs. OGI imaging modes were observed to have a significant effect on emission detectability with high sensitivity mode detection rates being approximately 2 times higher compared to auto mode. Fourteen snapshot emission measurements (not including actuations) were conducted on IPCs in this category using a high-volume sampling device with augmented quality assurance procedures with observed emissions rates ranging from 0.1 up to 31.3 scf/hr (mean = 2.8 scf/hr). For PCs with continuous depressurization type (CPC), 36.8% had continuous emissions observed by OGI. Four supporting emission measurements were conducted on CPCs with one unit exceeding the low bleed regulatory emission threshold with an emission rate of 9.9 scf/hr (mean = 4.2 scf/hr). Additional information was collected on PC actuation events, as observed with OGI, which showed a strong correlation between observed actuation events and facility production compared to observed continuous emissions caused by MIs which did not correlate with facility production. <i>Implications</i>: A novel survey approach of pneumatic controllers at oil and natural gas production facilities in the Denver-Julesburg basin, using optical gas imaging and supporting emission measurements, was demonstrated as an effective method to identify controllers with potential maintenance issues causing excess emissions. The results of the pneumatic controller and optical gas imaging surveys improved information on pneumatic controller populations within the basin and also demonstrated the significant effect optical gas imaging modes have on emission detections.