cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7139510.v2
title: Artificial dataset for clustering algorithms(Complete)

description: This file contains a number of randomly generated datasets. The properties of each dataset are indicated in the name of each respective file: 'C' indicates the number of classes, 'F' indicates the number of features, 'Ne' indicates the number of objects contained in each class, 'A' is related to the average separation between classes and 'R' is an index used to differentiate distinct random trials. So, for instance, the file C2F10N2Ne5A1.2R0 is a dataset containing 2 classes, 10 features, 5 objects for each class and having a typical separation between classes of 1.2. The methodology used for generating the datasets is described in the accompanying reference.<br>
DOI: 10.6084/m9.figshare.7139510.v1
title: UntitArtificial dataset for clustering algorithms(Complete)

description: This file contains a number of randomly generated datasets. The properties of each dataset are indicated in the name of each respective file: 'C' indicates the number of classes, 'F' indicates the number of features, 'Ne' indicates the number of objects contained in each class, 'A' is related to the average separation between classes and 'R' is an index used to differentiate distinct random trials. So, for instance, the file C2F10N2Ne5A1.2R0 is a dataset containing 2 classes, 10 features, 5 objects for each class and having a typical separation between classes of 1.2. The methodology used for generating the datasets is described in the accompanying reference.<br>
DOI: 10.7284/122817
title: GNSS (Global Navigation Satellite System) data collected during research cruise WS15271 using a Raytheon 300 WAAS instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/122818
title: GNSS (Global Navigation Satellite System) data collected during research cruise WS15271 using a Raytheon 320 WAAS instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139414
title: A brief introduction to nomography: graphical representation of mathematical relationships

description: Nomographs (or nomograms, or alignment charts) are graphical representations of mathematical relationships (extending to empirical relationships of data) which are used by simply applying a straightedge across the plot through points on scales representing independent variables, which then crosses the corresponding datum point for the dependent variable; the choice among independent and dependent variable is arbitrary so that each variable may be determined in terms of the others. Examples of nomographs in common current use compute the lift available for a hot-air balloon, the boiling points of solvents under reduced pressure in the chemistry laboratory, and the relative forces in a centrifuge in a biochemical laboratory. Sundials represent another ancient yet widely familiar example. With the advent and ready accessibility of the computer, printed mathematical tables, slide rules and nomographs became generally redundant. However, nomographs provide insight into mathematical relationships, are useful for rapid and repeated application, even in the absence of calculational facilities, and can reliably be used in the field. Many nomographs for various purposes may be found online. This paper describes the origins and development of nomographs, illustrating their use with some relevant examples. A supplementary interactive Excel file demonstrates their application for some simple mathematical operations.
DOI: 10.7284/122819
title: Gyrocompass data collected during research cruise WS15271 using a SGB Meridian instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139354
title: Genes NTD wiki.txt

description: List of genes associated with NTD in mice previously contained in the NTDwiki (maintained by Dr. Lee Niswander´s lab)<br>
DOI: 10.7284/122828
title: Hygrometer data collected during research cruise WS15271 using a RM Young 41372VC instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/122826
title: INS (Inertial Navigation System) data collected during research cruise WS15271 using a Applanix POS/MV-320 V2 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/122820
title: Radiometer data collected during research cruise WS15271 using a Eppley PSP instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139180
title: Statewide Method of Measuring Ambulance Patient Offload Times

description: <b>Objective</b>: Ambulance patient offload time (APOT) also known colloquially as “Wall time” has been described in various jurisdictions but seems to be highly variable. Any attempt to improve APOT requires the use of common definitions and standard methodology to measure the extent of the problem. <b>Methods</b>: An Ambulance Offload Delay Task Force in California developed a set of standard definitions and methodology to measure APOT for transported 9-1-1 patients. It is defined as the time “interval between the arrival of an ambulance at an emergency department and the time that the patient is transferred to an ED gurney, bed, chair or other acceptable location and the ED assumes responsibility for care of the patient.” Local EMS agencies voluntarily reported data according to the standard methodology to the California EMS Authority (State agency). <b>Results</b>: Data were reported for 9-1-1 transports during 2017 from 9 of 33 local EMS Agencies in California that comprise 37 percent of the state population. These represent 830,637 ambulance transports to 126 hospitals. APOT shows significant variation by EMS agency with half of the agencies demonstrating significant delays. Offload times vary markedly by hospital as well as by region. Three-fourths of hospitals detained EMS crews more than one hour, 40% more than two hours, and one-third delayed EMS return to service by more than three hours. <b>Conclusion</b>: This first step to address offload delays in California consists of standardized definitions for data collection to address the significant variability inherent in obtaining data from 33 local agencies, hundreds of EMS provider agencies, and 320 acute care hospital Emergency Departments that receive 9-1-1 ambulance transports. The first year of standardized data collection of ambulance patient offload times revealed significant ambulance patient offload time delays that are not distributed uniformly, resulting in a substantial financial burden for some EMS providers in California.
DOI: 10.7284/122821
title: Radiometer data collected during research cruise WS15271 using a Eppley TUV instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139180.v1
title: Statewide Method of Measuring Ambulance Patient Offload Times

description: <b>Objective</b>: Ambulance patient offload time (APOT) also known colloquially as “Wall time” has been described in various jurisdictions but seems to be highly variable. Any attempt to improve APOT requires the use of common definitions and standard methodology to measure the extent of the problem. <b>Methods</b>: An Ambulance Offload Delay Task Force in California developed a set of standard definitions and methodology to measure APOT for transported 911 patients. It is defined as the time “interval between the arrival of an ambulance at an emergency department and the time that the patient is transferred to an ED gurney, bed, chair or other acceptable location and the ED assumes responsibility for care of the patient.” Local EMS agencies voluntarily reported data according to the standard methodology to the California EMS Authority (State agency). <b>Results</b>: Data were reported for 911 transports during 2017 from 9 of 33 local EMS Agencies in California that comprise 37 percent of the state population. These represent 830,637 ambulance transports to 126 hospitals. APOT shows significant variation by EMS agency with half of the agencies demonstrating significant delays. Offload times vary markedly by hospital as well as by region. Three-fourths of hospitals detained EMS crews more than one hour, 40% more than two hours, and one-third delayed EMS return to service by more than three hours. <b>Conclusion</b>: This first step to address offload delays in California consists of standardized definitions for data collection to address the significant variability inherent in obtaining data from 33 local agencies, hundreds of EMS provider agencies, and 320 acute care hospital Emergency Departments that receive 911 ambulance transports. The first year of standardized data collection of ambulance patient offload times revealed significant ambulance patient offload time delays that are not distributed uniformly, resulting in a substantial financial burden for some EMS providers in California.
DOI: 10.6084/m9.figshare.7139180.v2
title: Statewide Method of Measuring Ambulance Patient Offload Times

description: <b>Objective</b>: Ambulance patient offload time (APOT) also known colloquially as “Wall time” has been described in various jurisdictions but seems to be highly variable. Any attempt to improve APOT requires the use of common definitions and standard methodology to measure the extent of the problem. <b>Methods</b>: An Ambulance Offload Delay Task Force in California developed a set of standard definitions and methodology to measure APOT for transported 9-1-1 patients. It is defined as the time “interval between the arrival of an ambulance at an emergency department and the time that the patient is transferred to an ED gurney, bed, chair or other acceptable location and the ED assumes responsibility for care of the patient.” Local EMS agencies voluntarily reported data according to the standard methodology to the California EMS Authority (State agency). <b>Results</b>: Data were reported for 9-1-1 transports during 2017 from 9 of 33 local EMS Agencies in California that comprise 37 percent of the state population. These represent 830,637 ambulance transports to 126 hospitals. APOT shows significant variation by EMS agency with half of the agencies demonstrating significant delays. Offload times vary markedly by hospital as well as by region. Three-fourths of hospitals detained EMS crews more than one hour, 40% more than two hours, and one-third delayed EMS return to service by more than three hours. <b>Conclusion</b>: This first step to address offload delays in California consists of standardized definitions for data collection to address the significant variability inherent in obtaining data from 33 local agencies, hundreds of EMS provider agencies, and 320 acute care hospital Emergency Departments that receive 9-1-1 ambulance transports. The first year of standardized data collection of ambulance patient offload times revealed significant ambulance patient offload time delays that are not distributed uniformly, resulting in a substantial financial burden for some EMS providers in California.
DOI: 10.7284/122825
title: Radiometer data collected during research cruise WS15271 using a Eppley PIR instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/122824
title: Rain Gauge data collected during research cruise WS15271 using a OSI ORG-815 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139105
title: MOESM9 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 9. Partial estimate of main model Table 2.
DOI: 10.6084/m9.figshare.7139102
title: MOESM8 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 8. Partial estimate constraining RTA (Head and Mayer (2014) table 2).
DOI: 10.6084/m9.figshare.7139105.v1
title: MOESM9 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 9. Partial estimate of main model Table 2.
DOI: 10.7284/122831
title: Singlebeam Echosounder data collected during research cruise WS15271 using a Knudsen 3260 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139096
title: MOESM7 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 7. Table A1 alternative method to measure welfare effect of AFTA.
DOI: 10.6084/m9.figshare.7139102.v1
title: MOESM8 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 8. Partial estimate constraining RTA (Head and Mayer (2014) table 2).
DOI: 10.7284/122822
title: Water Temperature data collected during research cruise WS15271 using a Sea-Bird SBE-38 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139090
title: MOESM6 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 6. Result for AFTA from main model estimation (Tables 3, 4, Figure 1).
DOI: 10.6084/m9.figshare.7139096.v1
title: MOESM7 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 7. Table A1 alternative method to measure welfare effect of AFTA.
DOI: 10.7284/122823
title: TSG (Thermosalinograph) data collected during research cruise WS15271 using a Sea-Bird SBE-45 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139084
title: MOESM5 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 5. Result for AFTA constraining RTA (Egger et al. (2011) tables 3, 4, figure 2).
DOI: 10.6084/m9.figshare.7139090.v1
title: MOESM6 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 6. Result for AFTA from main model estimation (Tables 3, 4, Figure 1).
DOI: 10.7284/122833
title: GNSS (Global Navigation Satellite System) data collected during research cruise WS15300 using a Raytheon 300 WAAS instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139084.v1
title: MOESM5 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 5. Result for AFTA constraining RTA (Egger et al. (2011) tables 3, 4, figure 2).
DOI: 10.7284/122834
title: GNSS (Global Navigation Satellite System) data collected during research cruise WS15300 using a Raytheon 320 WAAS instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139078
title: MOESM4 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 4. Result for AFTA constraining RTA (Head and Mayer (2014) tables 3, 4).
DOI: 10.6084/m9.figshare.7139078.v1
title: MOESM4 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 4. Result for AFTA constraining RTA (Head and Mayer (2014) tables 3, 4).
DOI: 10.6084/m9.figshare.7139072
title: MOESM3 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 3. Original geppml based data 2012 for constraining RTA from Egger et al. (2011) and Head and Mayer (2014).
DOI: 10.6084/m9.figshare.7139072.v1
title: MOESM3 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 3. Original geppml based data 2012 for constraining RTA from Egger et al. (2011) and Head and Mayer (2014).
DOI: 10.7284/122835
title: Gyrocompass data collected during research cruise WS15300 using a SGB Meridian instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139066
title: MOESM2 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 2. Original geppml based data 2012 for constraining RTA from Egger et al. (2011).
DOI: 10.6084/m9.figshare.7139066.v1
title: MOESM2 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 2. Original geppml based data 2012 for constraining RTA from Egger et al. (2011).
DOI: 10.7284/122843
title: INS (Inertial Navigation System) data collected during research cruise WS15300 using a Applanix POS/MV-320 V2 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139060
title: MOESM22 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 22. Original data 2012.
DOI: 10.6084/m9.figshare.7139060.v1
title: MOESM22 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 22. Original data 2012.
DOI: 10.7284/122859
title: Multiplexed data collected during research cruise WS15313 using a Miami VIDS instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139054
title: MOESM21 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 21. Log file.
DOI: 10.6084/m9.figshare.7139054.v1
title: MOESM21 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 21. Log file.
DOI: 10.7284/122858
title: Anemometer data collected during research cruise WS15313 using a RM Young 05106 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139048
title: MOESM20 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 20. Original geppml based data 2002
DOI: 10.6084/m9.figshare.7139048.v1
title: MOESM20 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 20. Original geppml based data 2002
DOI: 10.6084/m9.figshare.7139045
title: MOESM1 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 1. Original geppml based data 2012.
DOI: 10.7284/122854
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise WS15313 using a Sea-Bird SBE-911+ instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/122856
title: Fluorometer data collected during research cruise WS15313 using a Turner Cyclops-7 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139045.v1
title: MOESM1 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 1. Original geppml based data 2012.
DOI: 10.6084/m9.figshare.7139036
title: MOESM19 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 19. Partial estimate using OLS and other estimation methods Table 2.
DOI: 10.7284/122845
title: GNSS (Global Navigation Satellite System) data collected during research cruise WS15313 using a Raytheon 300 WAAS instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139036.v1
title: MOESM19 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 19. Partial estimate using OLS and other estimation methods Table 2.
DOI: 10.6084/m9.figshare.7139030
title: MOESM18 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 18. Table A2 alternative method to measure welfare effect of SAFTA.
DOI: 10.6084/m9.figshare.7139030.v1
title: MOESM18 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 18. Table A2 alternative method to measure welfare effect of SAFTA.
DOI: 10.7284/122846
title: GNSS (Global Navigation Satellite System) data collected during research cruise WS15313 using a Raytheon 320 WAAS instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/122847
title: Gyrocompass data collected during research cruise WS15313 using a SGB Meridian instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139021
title: MOESM17 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 17. Result for SAFTA+AFTA from main model estimation Tables 7, 8, Figure 5.
DOI: 10.6084/m9.figshare.7139021.v1
title: MOESM17 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 17. Result for SAFTA+AFTA from main model estimation Tables 7, 8, Figure 5.
DOI: 10.7284/122857
title: Hygrometer data collected during research cruise WS15313 using a RM Young 41372VC instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/122855
title: INS (Inertial Navigation System) data collected during research cruise WS15313 using a Applanix POS/MV-320 V2 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139009
title: MOESM16 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 16. Table A3 alternative method to measure welfare effect of SAFTA+AFTA.
DOI: 10.6084/m9.figshare.7139009.v1
title: MOESM16 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 16. Table A3 alternative method to measure welfare effect of SAFTA+AFTA.
DOI: 10.7284/122848
title: Radiometer data collected during research cruise WS15313 using a Eppley PSP instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139003
title: MOESM15 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 15. Result for SAFTA+AFTA constraining RTA (Head and Mayer (2014) tables 7, 8).
DOI: 10.7284/122849
title: Radiometer data collected during research cruise WS15313 using a Eppley TUV instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7139003.v1
title: MOESM15 of SAFTA and AFTA: a comparative welfare analysis of two regional trade agreements

description: Additional file 15. Result for SAFTA+AFTA constraining RTA (Head and Mayer (2014) tables 7, 8).