cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17041566.v1
title: Myths about linear and monotonic associations: Pearson’s <i>r</i>, Spearman’s <i>ρ</i>, and Kendall’s <i>τ</i>

description: Pearson’s correlation coefficient is considered a measure of linear association between bivariate random variables <i>X</i> and <i>Y</i>. It is recommended not to use it for other forms of associations. Indeed, for non-linear monotonic associations alternative measures like Spearman’s rank and Kendall’s tau correlation coefficients are considered more appropriate. These views or opinions on the estimation of association are strongly rooted in the statistical and other empirical sciences. After defining linear and monotonic associations, we will demonstrate that these opinions are incorrect. Pearson’s correlation coefficient should not be ruled out a priori for measuring non-linear monotonic associations. We will provide examples of practically relevant families of bivariate distribution functions with non-linear monotonic associations for which Pearson’s correlation is preferred over Spearman’s rank and Kendall’s tau correlation in testing the dependency between <i>X</i> and <i>Y</i>. Alternatively, we will provide a family of bivariate distributions with a linear association between <i>X</i> and <i>Y</i> for which Spearman’s rank and Kendall’s tau are preferred over Pearson’s correlation. Our examples show that existing views on linear and monotonic associations are myths.
DOI: 10.25345/c5222r719
title: MassIVE Reanalysis RMSV000000354.5329 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, FAM109A [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5x921k75
title: MassIVE Reanalysis RMSV000000354.5333 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SLC38A6 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5281/zenodo.6247293
title: Carbon Capture, Utilisation and Storage systems analysis through cognitive mapping - elicitation process

description: Carbon Capture, Utilisation and Storage (CCUS) projects are complex systems due to their multistakeholder and multisectoral nature. Therefore, We consider it crucial to propose a holistic approach to evaluate CCUS systems by using participatory processes to capture the complexity between technical, environmental and social structures interaction. We can achieve this by building cognitive maps, which represent people's knowledge and perceptions of CCUS projects. In CCUS systems, we deal with complex problems involving many parties and conditions without a unique or suitable solution for projects implementation. Albeit many components interact in the projects, we can select the most representative to represent the system. This research seeks to collect various cognitive maps from different stakeholders, which will be integrated later to analyse how physical-technical components interact with socio-political ones.
description: These files were elicited through a series of workshops to analyse CCUS systems using the Mental Modeler software. https://www.mentalmodeler.com
DOI: 10.25345/c5sn0154s
title: MassIVE MSV000088899 - Hexokinase BMDM Metabolomics fully labeled carbon glucose
title: BMDM metabolomics analysis using fully labeled carbon
DOI: 10.25345/c5nv99c1k
title: MassIVE Reanalysis RMSV000000354.5335 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SLCO1B1 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5j38kj8m
title: MassIVE Reanalysis RMSV000000354.5334 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, C19orf73 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5281/zenodo.6247412
title: Data from Test Performance Study Euphresco project 2019-A-327

description: Data of the test performance study organised in the framework of the Euphresco project 2019-A-327 'Validation of molecular tests for the detection of tomato brown rugose fruit virus<em> </em>(ToBRFV) in seed of tomato and pepper'
description: Data produced by the consortium of the Euphresco project 2019-A-327 'Validation of molecular tests for the detection of tomato brown rugose fruit virus (ToBRFV) in seed of tomato and pepper'
DOI: 10.5281/zenodo.6247411
title: Data from Test Performance Study Euphresco project 2019-A-327

description: Data of the test performance study organised in the framework of the Euphresco project 2019-A-327 'Validation of molecular tests for the detection of tomato brown rugose fruit virus<em> </em>(ToBRFV) in seed of tomato and pepper'
description: Data produced by the consortium of the Euphresco project 2019-A-327 'Validation of molecular tests for the detection of tomato brown rugose fruit virus (ToBRFV) in seed of tomato and pepper'
DOI: 10.25345/c5db7vr4g
title: MassIVE Reanalysis RMSV000000354.5337 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, STAT5A [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c58k74x9m
title: MassIVE Reanalysis RMSV000000354.5338 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, RAB40B [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c54t6f45w
title: MassIVE Reanalysis RMSV000000354.5336 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, NDEL1 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5281/zenodo.6247482
title: Carbon Capture, Utilisation and Storage systems analysis through cognitive mapping - elicitation process

description: Carbon Capture, Utilisation and Storage (CCUS) projects are complex systems due to their multistakeholder and multisectoral nature. Therefore, We consider it crucial to propose a holistic approach to evaluate CCUS systems by using participatory processes to capture the complexity between technical, environmental and social structures interaction. We can achieve this by building cognitive maps, which represent people's knowledge and perceptions of CCUS projects. In CCUS systems, we deal with complex problems involving many parties and conditions without a unique or suitable solution for projects implementation. Albeit many components interact in the projects, we can select the most representative to represent the system. This research seeks to collect various cognitive maps from different stakeholders, which will be integrated later to analyse how physical-technical components interact with socio-political ones.
description: These files were elicited through a series of workshops to analyse CCUS systems using the Mental Modeler software. https://www.mentalmodeler.com
DOI: 10.5281/zenodo.5104904
title: Carbon Capture, Utilisation and Storage systems analysis through cognitive mapping - elicitation process

description: Carbon Capture, Utilisation and Storage (CCUS) projects are complex systems due to their multistakeholder and multisectoral nature. Therefore, We consider it crucial to propose a holistic approach to evaluate CCUS systems by using participatory processes to capture the complexity between technical, environmental and social structures interaction. We can achieve this by building cognitive maps, which represent people's knowledge and perceptions of CCUS projects. In CCUS systems, we deal with complex problems involving many parties and conditions without a unique or suitable solution for projects implementation. Albeit many components interact in the projects, we can select the most representative to represent the system. This research seeks to collect various cognitive maps from different stakeholders, which will be integrated later to analyse how physical-technical components interact with socio-political ones.
description: These files were elicited through a series of workshops to analyse CCUS systems using the Mental Modeler software. https://www.mentalmodeler.com
DOI: 10.25345/c5125qb2j
title: MassIVE Reanalysis RMSV000000354.5339 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, C9 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5281/zenodo.6247463
title: Plain_Background_Thermal_Imaging_Dataset

description: The dataset contains the images captured from high resolution thermal camera. The thermal images contains ten different hand gestures captured from random people. We also captured images of both color and gray scale under different environment conditions. Further, different hand orientations are considered for the creation of effective dataset.
DOI: 10.5281/zenodo.6247462
title: Plain_Background_Thermal_Imaging_Dataset

description: The dataset contains the images captured from high resolution thermal camera. The thermal images contains ten different hand gestures captured from random people. We also captured images of both color and gray scale under different environment conditions. Further, different hand orientations are considered for the creation of effective dataset.
DOI: 10.25345/c5wd3q29s
title: MassIVE Reanalysis RMSV000000354.5340 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MPPE1 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5rn3086h
title: MassIVE MSV000088900 - Hexokinase BMDM Metabolomics fully labeled carbon glucose
title: Cultured BMDMs or HepG2 cells were treated with 13C6-glucose or 13C1-2-glucose for 4hrs LPS (200ng/ml). Mass-spectrometry and metabolite identification were performed on 80% methanol & 20% ultrapure water extracted metabolites.
DOI: 10.3886/e119043v1-110280
title: Replication Data for: Measuring Technological Innovation Over The Long Run

description: Replication Data for Measuring Innovation over the Long Run, AERI-2019-0499
DOI: 10.25345/c5mw28g2c
title: MassIVE Reanalysis RMSV000000354.5345 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, AKAP17A [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5h41jn8x
title: MassIVE Reanalysis RMSV000000354.5346 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, PPIL1 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5cc0tv39
title: MassIVE Reanalysis RMSV000000354.5342 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, DCAF8 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c57m0418v
title: MassIVE Reanalysis RMSV000000354.5341 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, DTWD2 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5255/ukda-sn-855418
title: Photo-Led Interview Data: Youth Substance Addiction in Assam, India, 2019-2020

description: The data generated as part of The Big Picture project was funded by the Economic and Social Research Council (ESRC) and the Arts and Humanities Research Council (AHRC) as part of the UK Global Challenges Research Fund (GCRF) ES/S00047X/1. The project was led by Professor Anna Madill (University of Leeds) with University of Leeds CoIs Professor Paul Cooke, Dr Siobhan Hugh-Jones, and Professor Tolib Mirzeov with CoI Dr Rebecca Graber (University of Brighton). The project Research Fellow was Dr Raginie Duara. The data was collected between 2019 and 2020 in the city of Guwahati, Assam. With regards to this data, our use of photovoice involved photo-led/elicitation interviews in which each participants was invited to prepare for interview by taking, and/or collecting, photographs/images relevant to the topic of research. Hence the interview incorporate discussion of the images. The project data consists of transcripts and images from photo-elicitation interviews with 30 young Assamese people, 15 from resilience-to-risk (R2R) and 15 from resilience-for-recovery (R4R) group.
DOI: 10.25345/c53t9d75n
title: MassIVE Reanalysis RMSV000000354.5344 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, IDI2 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5057ct5m
title: MassIVE Reanalysis RMSV000000354.5349 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, GSTK1 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5vd6p614
title: MassIVE Reanalysis RMSV000000354.5347 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, BLZF1 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5281/zenodo.6247764
title: BD CPAP HFNC

description: BD HFCN CPAP
DOI: 10.5281/zenodo.6247763
title: BD CPAP HFNC

description: BD HFCN CPAP
DOI: 10.25345/c5qn5zc7c
title: MassIVE Reanalysis RMSV000000354.5351 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MAT2B [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5kw57k3m
title: MassIVE Reanalysis RMSV000000354.5353 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SH3RF2 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5g44hr8p
title: MassIVE Reanalysis RMSV000000354.5355 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, NASP [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.