cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6372646
title: Language-enhanced cognitive skills model

description: This is a model of cognitive skills required in the workplace which enhance previous models by including a more detailed measurement of linguistic skills. Linguistic skills are defined as the set of abilities, competencies and knowledge which principally involve the use of linguistic code. More specifically, the linguistic items used are reading and writing competencies, ability to speak, listen or communicate, as well as knowledge of second languages (as a whole). These variables were factorialised together with a list of competencies from previous models of cognitive skills. Principal component analysis (PCA) with equamax rotation was applied to reduce the dimensionality of all items to a few interpretable dimensions according to the correlations between them. The result is nine factors with similar variances among at least three express linguistic-related skills: The first factor expresses the demand for scientific and engineering knowledge. The second refers to a collection of competencies which could be called verbal-reasoning. These include deductive and inductive reasoning skills or those of identifying and solving complex problems. Some linguistic competencies relating to the level of oral and written comprehension and expression are also relevant in this factor. The third factor expresses numerical or quantitative competencies. The fourth expresses the demand for communicative competencies, composed of variables related to efficient communication goals such as clarity of speech, active listening or speaking. The fifth factor expresses creative abilities. The sixth, competencies and knowledge linked to electronics and computers. The seventh expresses managerial competencies. The eighth expresses nurturing competencies and the ninth factor basically expresses knowledge of foreign languages.
description: For more detail about the development of these scales and indexes and their application can see: Ubalde, Josep & Alarcón, Amado (2020). Are all automation-resistant skills rewarded? Linguistic skills in the U.S. labour market. https://doi.org/10.1177/1035304620903152
description: {"references": ["https://journals.sagepub.com/doi/abs/10.1177/1035304620903152?journalCode=elra"]}
DOI: 10.5281/zenodo.6372645
title: Language-enhanced cognitive skills model

description: This is a model of cognitive skills required in the workplace which enhance previous models by including a more detailed measurement of linguistic skills. Linguistic skills are defined as the set of abilities, competencies and knowledge which principally involve the use of linguistic code. More specifically, the linguistic items used are reading and writing competencies, ability to speak, listen or communicate, as well as knowledge of second languages (as a whole). These variables were factorialised together with a list of competencies from previous models of cognitive skills. Principal component analysis (PCA) with equamax rotation was applied to reduce the dimensionality of all items to a few interpretable dimensions according to the correlations between them. The result is nine factors with similar variances among at least three express linguistic-related skills: The first factor expresses the demand for scientific and engineering knowledge. The second refers to a collection of competencies which could be called verbal-reasoning. These include deductive and inductive reasoning skills or those of identifying and solving complex problems. Some linguistic competencies relating to the level of oral and written comprehension and expression are also relevant in this factor. The third factor expresses numerical or quantitative competencies. The fourth expresses the demand for communicative competencies, composed of variables related to efficient communication goals such as clarity of speech, active listening or speaking. The fifth factor expresses creative abilities. The sixth, competencies and knowledge linked to electronics and computers. The seventh expresses managerial competencies. The eighth expresses nurturing competencies and the ninth factor basically expresses knowledge of foreign languages.
description: For more detail about the development of these scales and indexes and their application can see: Ubalde, Josep & Alarcón, Amado (2020). Are all automation-resistant skills rewarded? Linguistic skills in the U.S. labour market. https://doi.org/10.1177/1035304620903152
description: {"references": ["https://journals.sagepub.com/doi/abs/10.1177/1035304620903152?journalCode=elra"]}
DOI: 10.25345/c5m32nd5j
title: MassIVE Reanalysis RMSV000000362.31 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000081607 Confetti, AspN HCD [launched by cfca6e4ba8934e65aa11617b56091339]
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/c5gb1xm1d
title: MassIVE Reanalysis RMSV000000421.6 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080866/PXD001582 [1 out of 12] [launched by cfca6e4ba8934e65aa11617b56091339]
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: 10.5517/cc4939t
title: CCDC 127915: Experimental Crystal Structure Determination

description: Related Article: G.A.Abakumov, V.K.Cherkasov, A.V.Krashilina, I.L.Eremenko, S.E.Nefedov|1998|Izv.Akad.Nauk SSSR,Ser.Khim.||2333|
DOI: 10.5517/cc12m0qf
title: CCDC 1001384: Experimental Crystal Structure Determination

description: Related Article: Christopher Glidewell|2014|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23jr0f
title: CCDC 1952504: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23jr1g
title: CCDC 1952505: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2019|CSD Communication|||
DOI: 10.25345/c5bk16s8h
title: MassIVE Reanalysis RMSV000000584.41 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000079514/PXD000561 [2 out of 41], Esophagus [launched by cfca6e4ba8934e65aa11617b56091339]
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/c56w96c9h
title: MassIVE Reanalysis RMSV000000409.2 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080267/PXD002854 [7 out of 11] [launched by cfca6e4ba8934e65aa11617b56091339]
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/c5348gk65
title: MassIVE Reanalysis RMSV000000366.22 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000086387 A Quantitative Proteome Map of the Human Body, TMT10 MS3 [Mixture: 46] [launched by cfca6e4ba8934e65aa11617b56091339]
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/c5zc7rz09
title: MassIVE Reanalysis RMSV000000382.16 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080596/PXD004242 [15 out of 51] [launched by cfca6e4ba8934e65aa11617b56091339]
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/c5tm7245v
title: MassIVE Reanalysis RMSV000000418.3 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080769/PXD005083 [6 out of 6] [launched by cfca6e4ba8934e65aa11617b56091339]
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: 10.48370/ofd/15yetv/e7nues
title: Hylis olexai.jpg

description: :unav
DOI: 10.48370/ofd/15yetv
title: Hylis olexai (Palm, 1955), C-598

description: Coleoptera collection
DOI: 10.25345/c5pv6bb07
title: MassIVE Reanalysis RMSV000000377.5 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080851/PXD001736 [8 out of 8] [launched by cfca6e4ba8934e65aa11617b56091339]
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/c5k35mh6s
title: MassIVE Reanalysis RMSV000000381.3 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080849/PXD004977 [2 out of 4] [launched by cfca6e4ba8934e65aa11617b56091339]
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/c5fb4wq34
title: MassIVE Reanalysis RMSV000000362.32 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000081607 Confetti, Chymotrypsin HCD [launched by cfca6e4ba8934e65aa11617b56091339]
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/c59p2w92q
title: MassIVE Reanalysis RMSV000000364.2 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080688/PXD001225 [7 out of 7] [launched by cfca6e4ba8934e65aa11617b56091339]
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/c55x25g9t
title: MassIVE Reanalysis RMSV000000451.5 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000083957 Enrichment strategy for searching missing protein, low molecular weight proteins, ProteoMiner [launched by cfca6e4ba8934e65aa11617b56091339]
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/c5251fp4h
title: MassIVE Reanalysis RMSV000000362.33 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000081607 Confetti, LysC-Elastase CID [launched by cfca6e4ba8934e65aa11617b56091339]
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/c5xd0r18f
title: MassIVE Reanalysis RMSV000000405.4 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000079399 [1 out of 9] [launched by cfca6e4ba8934e65aa11617b56091339]
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/c5sn0174p
title: MassIVE Reanalysis RMSV000000406.2 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080275/PXD001977 [3 out of 4] [launched by cfca6e4ba8934e65aa11617b56091339]
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/c5nv99f1g
title: MassIVE Reanalysis RMSV000000386.6 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080864/PXD003708 [10 out of 15] [launched by cfca6e4ba8934e65aa11617b56091339]
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/c5j38km8h
title: MassIVE Reanalysis RMSV000000382.17 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080596/PXD004242 [36 out of 51] [launched by cfca6e4ba8934e65aa11617b56091339]
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/c5df6k654
title: MassIVE Reanalysis RMSV000000584.42 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000079514/PXD000561 Part 2 [11 out of 85], NK cells [launched by cfca6e4ba8934e65aa11617b56091339]
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: 10.34965/i9881
title: 20215021

description: In this proposal we aim to study the lattice dynamics of the copper-based MOF Cu-INA in the bulk and in thin film phases by detecting their IR active lattice phonon modes in the far-IR region. The data obtained in this investigation will complement the study of the Raman active lattice phonon modes measured in a lab-based setup. This proposal is part of a larger project, that has the overall goal of solving the unknown crystal structures of MOF phases formed during thin film processing. The crystal structure solution for MOF thin films will start from the concepts developed for molecular crystal thin films, based on Grazing Incidence X-ray Diffraction (GIXD). The complementary measurements of the IR and Raman active lattice phonons, combined with the theoretical simulation of the vibrational spectra (which are crucially impacted by structural details), will allow us to verify the correct interpretation of the X-ray data. The use of the ELETTRA setup will give us access to the far-IR region not available in the usual lab-based instrumentation and the high brightness of the synchrotron radiation will enhance the signal from the thin films.
DOI: 10.25345/c58p5vd2g
title: MassIVE Reanalysis RMSV000000382.18 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080596/PXD004242 [38 out of 51] [launched by cfca6e4ba8934e65aa11617b56091339]
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/c54x54k83
title: MassIVE Reanalysis RMSV000000366.23 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000086387 A Quantitative Proteome Map of the Human Body, TMT10 MS3 [Mixture: 45] [launched by cfca6e4ba8934e65aa11617b56091339]
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/c5154ds3s
title: MassIVE Reanalysis RMSV000000394.4 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080843/PXD003790 [2 out of 6] [launched by cfca6e4ba8934e65aa11617b56091339]
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/c5wd3q486
title: MassIVE Reanalysis RMSV000000584.43 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000079514/PXD000561 Part 2 [21 out of 85], Retina [launched by cfca6e4ba8934e65aa11617b56091339]
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.