cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19410872.v1
title: clinical_data.xlsx

description: clinical_data
DOI: 10.6084/m9.figshare.19410872
title: clinical_data.xlsx

description: clinical_data
DOI: 10.5281/zenodo.6381970
title: Daily load patterns of six global exchanges as recorded by vwd/Infront Financial Technology

description: This data set provides fine-granular statistics on trading traffic generated by six global exchanges over the course of two days in February 2019 for a set of representative feeds and recorded by the systems of vwd Vereinigte Wirtschaftsdienste GmbH (now known as Infront Financial Technology GmbH). Please note that these numbers represent only limited market segments of the actual exchange and the measured feeds might provide different products and instrument types. The exchanges are identified as AU = Sydney, FFM = Frankfurt am Main (GER), HK = Hong Kong (CN), Q = NASDAQ (USA), TK = Tokyo (JPN), UK = London (UK). The data set consists of six (6) files in comma-separated values (CSV) format with one tab as separator. Each file contains a list of timestamped (GMT+1) statistics that represent the update rate per second averaged to the granularity of one minute as received from the respective exchange at each point in time. Format: [UNIX timestamp] \t [updAvg]. Please cite this conference paper when using this data: Frischbier, S., Paic, M., Echler, A., Roth, C. (2020). Managing the Complexity of Processing Financial Data at Scale - An Experience Report. In: Boy, G., Guegan, A., Krob, D., Vion, V. (eds) Complex Systems Design & Management. CSDM 2019. Springer, Cham. https://doi.org/10.1007/978-3-030-34843-4_2
description: {"references": ["Frischbier, S., Paic, M., Echler, A., Roth, C. (2020). Managing the Complexity of Processing Financial Data at Scale - An Experience Report. In: Boy, G., Guegan, A., Krob, D., Vion, V. (eds) Complex Systems Design & Management. CSDM 2019. Springer, Cham. https://doi.org/10.1007/978-3-030-34843-4_2"]}
DOI: 10.5281/zenodo.6381969
title: Daily load patterns of six global exchanges as recorded by vwd/Infront Financial Technology

description: This data set provides fine-granular statistics on trading traffic generated by six global exchanges over the course of two days in February 2019 for a set of representative feeds and recorded by the systems of vwd Vereinigte Wirtschaftsdienste GmbH (now known as Infront Financial Technology GmbH). Please note that these numbers represent only limited market segments of the actual exchange and the measured feeds might provide different products and instrument types. The exchanges are identified as AU = Sydney, FFM = Frankfurt am Main (GER), HK = Hong Kong (CN), Q = NASDAQ (USA), TK = Tokyo (JPN), UK = London (UK). The data set consists of six (6) files in comma-separated values (CSV) format with one tab as separator. Each file contains a list of timestamped (GMT+1) statistics that represent the update rate per second averaged to the granularity of one minute as received from the respective exchange at each point in time. Format: [UNIX timestamp] \t [updAvg]. Please cite this conference paper when using this data: Frischbier, S., Paic, M., Echler, A., Roth, C. (2020). Managing the Complexity of Processing Financial Data at Scale - An Experience Report. In: Boy, G., Guegan, A., Krob, D., Vion, V. (eds) Complex Systems Design & Management. CSDM 2019. Springer, Cham. https://doi.org/10.1007/978-3-030-34843-4_2
description: {"references": ["Frischbier, S., Paic, M., Echler, A., Roth, C. (2020). Managing the Complexity of Processing Financial Data at Scale - An Experience Report. In: Boy, G., Guegan, A., Krob, D., Vion, V. (eds) Complex Systems Design & Management. CSDM 2019. Springer, Cham. https://doi.org/10.1007/978-3-030-34843-4_2"]}
DOI: 10.6084/m9.figshare.19410899
title: Anexo 2. Grupo de códigos durante el análisis

description: Libro de códigos inductivo.
DOI: 10.6084/m9.figshare.19410899.v1
title: Anexo 2. Grupo de códigos durante el análisis

description: Libro de códigos inductivo.
DOI: 10.6084/m9.figshare.17207411
title: all-descriptors

description: all-descriptors.csv collects all physico-chemical descriptors of antimicrobials extracted from QSAR, QM, and MD calculations.
DOI: 10.6084/m9.figshare.17207411.v1
title: all-descriptors

description: all-descriptors.csv collects all physico-chemical descriptors of antimicrobials extracted from QSAR, QM, and MD calculations.
DOI: 10.6084/m9.figshare.17212247
title: aminocoumarins

description: Archive of aminocoumarins containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212247.v1
title: aminocoumarins

description: Archive of aminocoumarins containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212250
title: aminoglycosides

description: Archive of aminoglycosides containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212250.v1
title: aminoglycosides

description: Archive of aminoglycosides containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212253
title: anthracenediones

description: Archive of anthracenediones containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212256
title: anthracyclines

description: Archive of anthracyclines containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212253.v1
title: anthracenediones

description: Archive of anthracenediones containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212256.v1
title: anthracyclines

description: Archive of anthracyclines containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212259
title: beta-lactamase-inhibitors

description: Archive of beta-lactamase-inhibitors containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212259.v1
title: beta-lactamase-inhibitors

description: Archive of beta-lactamase-inhibitors containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212265
title: cephalosporins

description: Archive of cephalosporins containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212262
title: carbapenems

description: Archive of carbapenems containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212262.v1
title: carbapenems

description: Archive of carbapenems containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212268.v1
title: DHFR-inhibitors

description: Archive of DHFR-inhibitors containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212265.v1
title: cephalosporins

description: Archive of cephalosporins containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212268
title: DHFR-inhibitors

description: Archive of DHFR-inhibitors containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212271
title: efflux-pumps inhibitors

description: Archive of efflux-pumps inhibitors containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212271.v1
title: efflux-pumps inhibitors

description: Archive of efflux-pumps inhibitors containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212277
title: fusidanes

description: Archive of fusidanes containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212277.v1
title: fusidanes

description: Archive of fusidanes containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212280
title: lincosamides

description: Archive of lincosamides containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212280.v1
title: lincosamides

description: Archive of lincosamides containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212289
title: monobactams

description: Archive of monobactams containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212286
title: macrolides

description: Archive of macrolides containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212286.v1
title: macrolides

description: Archive of macrolides containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212292
title: nitrofurans

description: Archive of nitrofurans containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212298
title: others

description: Archive of miscellaneous compounds containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212289.v1
title: monobactams

description: Archive of monobactams containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212295
title: nucleosides

description: Archive of nucleosides containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212295.v1
title: nucleosides

description: Archive of nucleosides containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212301.v1
title: oxacephem

description: Archive of oxacephem containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212298.v1
title: others

description: Archive of miscellaneous compounds containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212301
title: oxacephem

description: Archive of oxacephem containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212307
title: penicillins

description: Archive of penicillins containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212310
title: phenicols

description: Archive of phenicols containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212304.v1
title: oxazolidinones

description: Archive of oxazolidinones containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212313
title: quinolones

description: Archive of quinolones containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212316
title: rifamycins

description: Archive of rifamycins containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212319
title: streptogramins

description: Archive of streptogramins containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212313.v1
title: quinolones

description: Archive of quinolones containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212316.v1
title: rifamycins

description: Archive of rifamycins containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212325.v1
title: tetracyclines

description: Archive of tetracyclines containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212292.v1
title: nitrofurans

description: Archive of nitrofurans containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212310.v1
title: phenicols

description: Archive of phenicols containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212322.v1
title: sulphonamides

description: Archive of sulphonamides containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212325
title: tetracyclines

description: Archive of tetracyclines containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212346
title: README

description: README file containing title, contacts and brief description of the collaction.
DOI: 10.6084/m9.figshare.17212346.v1
title: README

description: README file containing title, contacts and brief description of the collaction.
DOI: 10.6084/m9.figshare.17212322
title: sulphonamides

description: Archive of sulphonamides containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.6084/m9.figshare.17212319.v1
title: streptogramins

description: Archive of streptogramins containing sub-folders named after each compound and its net charge. Every compound's folder contains a total of 20 files distributed into three sub-directories reporting QM (QM/), FF (FF/), and MD (MD/) data.
DOI: 10.34740/kaggle/dsv/3351113
title: BBC News
DOI: 10.6084/m9.figshare.19410863
title: Energy Audits in Fisheries

description: For each monitored vessel trip of this study, raw-data were stored at a rate of 1 s on hard disks and downloaded at the end of each audit or vessel monitoring for data elaboration. First, a data cleansing process was performed interactively with data wrangling tools, or as batch processing through scripting in order to detect and correct corrupt or inaccurate records. The inconsistencies detected may have been originally caused by corruption in transmission or measurement instruments. Inaccuracy of a single measurement may have been considered acceptable, and related to the inherent technical error of the measurement instrument. Hence, data cleansing focused only on those errors that are beyond small technical variations and that constitute a major shift within or beyond the population distribution. After cleansing, raw-data have been time-averaged at 10 s interval to hold them in a Microsoft Access database. Routines have been finally written specifically to export the time-averaged data into an elaborated ASCII file and made available through this unrestricted repository at <i>Figshare</i> as a Comma-Separated Values (CSV) file. The elaborated dataset comprises 15 fields, which collectively describe the sailing or finding fish, and towing activities associated with the energy consumption and fuel-related GHG emission. All field codes and definitions are described in Table 3 (also available here), so that to facilitate data re-use and re-processing. All raw-data are hosted at CNR servers and they are freely available upon request.
DOI: 10.6084/m9.figshare.19410863.v2
title: Energy Audits in Fisheries

description: For each monitored vessel trip of this study, raw-data were stored at a rate of 1 s on hard disks and downloaded at the end of each audit or vessel monitoring for data elaboration. First, a data cleansing process was performed interactively with data wrangling tools, or as batch processing through scripting in order to detect and correct corrupt or inaccurate records. The inconsistencies detected may have been originally caused by corruption in transmission or measurement instruments. Inaccuracy of a single measurement may have been considered acceptable, and related to the inherent technical error of the measurement instrument. Hence, data cleansing focused only on those errors that are beyond small technical variations and that constitute a major shift within or beyond the population distribution. After cleansing, raw-data have been time-averaged at 10 s interval to hold them in a Microsoft Access database. Routines have been finally written specifically to export the time-averaged data into an elaborated ASCII file and made available through this unrestricted repository at <i>Figshare</i> as a Comma-Separated Values (CSV) file. The elaborated dataset comprises 15 fields, which collectively describe the sailing or finding fish, and towing activities associated with the energy consumption and fuel-related GHG emission. All field codes and definitions are described in Table 3 (also available here), so that to facilitate data re-use and re-processing. All raw-data are hosted at CNR servers and they are freely available upon request.
DOI: 10.6084/m9.figshare.19410863.v1
title: Energy Audits in Fisheries

description: For each monitored vessel trip of this study, raw-data were stored at a rate of 1 s on hard disks and downloaded at the end of each audit or vessel monitoring for data elaboration. First, a data cleansing process was performed interactively with data wrangling tools, or as batch processing through scripting in order to detect and correct corrupt or inaccurate records. The inconsistencies detected may have been originally caused by corruption in transmission or measurement instruments. Inaccuracy of a single measurement may have been considered acceptable, and related to the inherent technical error of the measurement instrument. Hence, data cleansing focused only on those errors that are beyond small technical variations and that constitute a major shift within or beyond the population distribution. After cleansing, raw-data have been time-averaged at 10 s interval to hold them in a Microsoft Access database. Routines have been finally written specifically to export the time-averaged data into an elaborated ASCII file and made available through this unrestricted repository at <i>Figshare</i> as a Comma-Separated Values (CSV) file. The elaborated dataset comprises 15 fields, which collectively describe the sailing or finding fish, and towing activities associated with the energy consumption and fuel-related GHG emission. All field codes and definitions are described in Table 3 (also available here), so that to facilitate data re-use and re-processing. All raw-data are hosted at CNR servers and they are freely available upon request.