cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c50c4sp09
title: MassIVE Reanalysis RMSV000000387.5 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080826/PXD003947 [3 out of 10] [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/c5445hg3z
title: MassIVE Reanalysis RMSV000000362.13 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000081607 Confetti, ArgC 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/c5vq2sd81
title: MassIVE Reanalysis RMSV000000396.5 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080848/PXD002214 [12 out of 21] [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/c5qz22m5r
title: MassIVE Reanalysis RMSV000000375.4 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080255/PXD000529 [3 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/c5gf0n063
title: MassIVE Reanalysis RMSV000000586.8 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000079526/PXD000865 [30 out of 46], Oral cavity [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/c5m61bt1x
title: MassIVE Reanalysis RMSV000000387.4 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080826/PXD003947 [5 out of 10] [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/c5bn9x62d
title: MassIVE Reanalysis RMSV000000413.2 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000088236 Spatially and cell-type resolved quantitative proteomic atlas of healthy human skin [Subject: Peripheral_T_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: 10.6084/m9.figshare.19390793
title: Supplementary Material for: Congenital Heart Disease in Adults with Autosomal Dominant Polycystic Kidney Disease

description: <b><i>Introduction:</i></b> Autosomal dominant polycystic kidney disease (ADPKD) is caused mainly by pathogenic variants in <i>PKD1</i> or <i>PKD2</i> encoding the polycystin-1 and -2 proteins. Polycystins have shown to have an essential role in cardiac development and function in animal models. In the current study, we describe the clinical association between ADPKD and congenital heart disease (CHD). <b><i>Methods:</i></b> Medical records from Mayo Clinic were queried for all patients with confirmed ADPKD and CHD between 1993 and 2020. CHD was categorized into left-to-right shunt, obstructive, and complex lesions. Patent foramen ovale, mitral valve prolapse, and bicuspid aortic valve anomalies were excluded. <b><i>Results:</i></b> Twenty-five out of 1,359 (1.84%) ADPKD patients were identified to have CHD. Of these, 84% were Caucasians and 44% were males. The median (Q1–Q3) age (years) at CHD diagnosis was 12.0 (2.0–43.5). Fourteen patients (56%) had left-to-right shunt lesions, 6 (24%) had obstructive lesions and 5 (20%) complex lesions. Seventeen patients (68%) had their defects surgically corrected at a median age (Q1–Q3) of 5.5 (2.0–24.7). Among 13 patients with available genetic testing, 12 (92.3%) had <i>PKD1</i> pathogenic variants, and none had <i>PKD2</i>. The median (Q1–Q3) age at last follow-up visit was 47.0 (32.0–62.0) and median (Q1–Q3) eGFR was 35.8 (11.4–79.0) mL/min/1.73 m<sup>2</sup>. Three patients (12%) died; all of them had left-to-right shunt lesions. <b><i>Discussion/Conclusion:</i></b> We observed a higher CHD frequency in ADPKD than the general population (1.84 vs. 0.4%). While only <i>PKD1</i> pathogenic variants were identified in this cohort, further studies are needed to confirm this novel finding and understand the role of polycystins in the development of the heart and vessels.
DOI: 10.6084/m9.figshare.13078862.v1
title: Industry’s 4.0 transformation process: how to start, where to aim, what to be aware of

description: Industry 4.0 has fused digitalisation with traditional industrial processes bridging the physical and virtual worlds and opening unimagined possibilities for 21st century business growth. Research is still evolving towards the development of frameworks linking Industry’s 4.0 enabling technologies to specific goals and to their impact on the manufacturers’ businesses. A systematic review of all peer-reviewed managerial research is performed to extract Industry’s 4.0 enabling technologies, barriers and goals. A framework linking technologies, barriers, and goals is then developed together with a web application based on its contents. The use of the framework is demonstrated through its application to two specific empirical case studies. The review shows that there are 9 classes of Industry’s 4.0 enabling technologies, whose different arrangements lead to the achievement of up to 15 business goals that can be thwarted by 21 barriers. The pursuit of these goals leads to three different destinations, i.e. three diverse digital transformations of the manufacturing firms. This paper provides a holistic framework that analyses the relationships among Industry’s 4.0 enabling technologies, barriers and goals. It appeals to managers who can use its contents along with the web application to derive recommendations and suggestions tailored to their Industry’s 4.0 journeys.
DOI: 10.6084/m9.figshare.13078862
title: Industry’s 4.0 transformation process: how to start, where to aim, what to be aware of

description: Industry 4.0 has fused digitalisation with traditional industrial processes bridging the physical and virtual worlds and opening unimagined possibilities for 21st century business growth. Research is still evolving towards the development of frameworks linking Industry’s 4.0 enabling technologies to specific goals and to their impact on the manufacturers’ businesses. A systematic review of all peer-reviewed managerial research is performed to extract Industry’s 4.0 enabling technologies, barriers and goals. A framework linking technologies, barriers, and goals is then developed together with a web application based on its contents. The use of the framework is demonstrated through its application to two specific empirical case studies. The review shows that there are 9 classes of Industry’s 4.0 enabling technologies, whose different arrangements lead to the achievement of up to 15 business goals that can be thwarted by 21 barriers. The pursuit of these goals leads to three different destinations, i.e. three diverse digital transformations of the manufacturing firms. This paper provides a holistic framework that analyses the relationships among Industry’s 4.0 enabling technologies, barriers and goals. It appeals to managers who can use its contents along with the web application to derive recommendations and suggestions tailored to their Industry’s 4.0 journeys.
DOI: 10.25345/c56w96c81
title: MassIVE Reanalysis RMSV000000584.17 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000079514/PXD000561 Part 2 [73 out of 85], 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/c5348gk5p
title: MassIVE Reanalysis RMSV000000369.7 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080757/PXD002619 [13 out of 24] [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/c5zg6gb12
title: MassIVE Reanalysis RMSV000000400.3 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080749/PXD003187 [5 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/c5pz51q41
title: MassIVE Reanalysis RMSV000000366.9 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000086387 A Quantitative Proteome Map of the Human Body, TMT10 MS3 [Mixture: 33] [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/c5tq5rh8s
title: MassIVE Reanalysis RMSV000000366.10 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000086387 A Quantitative Proteome Map of the Human Body, TMT10 MS3 [Mixture: 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: 10.5281/zenodo.6372493
title: Trialstreamer data

description: Trialstreamer annotated collection of RCTs. This respository contains baseline files (large), and subsequent updates (daily for PubMed, weekly for ICTRP).
DOI: 10.25345/c5k649w93
title: MassIVE Reanalysis RMSV000000362.14 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000081607 Confetti, AspN-Chymotrypsin 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/c5ff3m35c
title: MassIVE Reanalysis RMSV000000477.2 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080831/PXD004915 [1 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/c59p2w917
title: MassIVE Reanalysis RMSV000000366.11 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000086387 A Quantitative Proteome Map of the Human Body, TMT10 MS3 [Mixture: 17] [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/c55x25g8b
title: MassIVE Reanalysis RMSV000000415.3 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080794/PXD001339 [3 out of 5] [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/c5280526r
title: MassIVE Reanalysis RMSV000000435.2 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080815/PXD004655 [9 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: 10.48370/ofd/izuof6/jkrdvo
title: Rhizophagus dispar.jpg

description: :unav
DOI: 10.48370/ofd/izuof6
title: Rhizophagus dispar (Paykull, 1800), C-584

description: Coleoptera collection
DOI: 10.25345/c5xg9ff29
title: MassIVE Reanalysis RMSV000000389.7 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080812/PXD004927 [21 out of 24] [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: 10.24400/802406/wzrf-ea2d
title: Double Star 1 STAFF Summary Parameters

description: This data set contains Double Star 1 STAFF summary parameters at spin resolution including the instrument status, and magnetic field spectral density in three frequency ranges up to 4 kHz.
DOI: 10.24400/802406/2wrp-r2ay
title: Double Star 1 STAFF Prime Parameters

description: This data set contains Double Star 1 STAFF prime parameters at spin resolution including the instrument status, and magnetic field spectral density in three frequency ranges up to 4 kHz.
DOI: 10.24400/802406/eq7z-xc9b
title: Double Star 1 PEACE Summary Parameters

description: The Plasma Electron and Current Experiment (PEACE) provides the electron velocity distribution function at the satellite in three dimensions with good time, energy, and angular resolution for electron energies up to ~25 keV. This data set contains Double Star 1 PEACE summary parameters at 1 min resolution including the instrument status, the electron density, electron bulk velocity, electron temperature, and electron heat flux.
DOI: 10.24400/802406/0j3s-t7mg
title: Double Star 1 PEACE Prime Parameters

description: The PEACE electron analyser provides the electron velocity distribution function at the satellite in three dimensions with good time, energy, and angular resolution for electron energies up to ~25 keV. This data set contains Double Star 1 PEACE prime parameters at spin resolution including the instrument status, the electron density, electron bulk velocity, electron temperature, and electron heat flux.
DOI: 10.24400/802406/t2mz-2vbv
title: Double Star 1 HID Summary Parameters

description: The Double Star Hot Ion Detector (HID) instruments are located on both the equatorial and polar satellites. They measure measure alpha-particles in the energy range 12 – 350 MeV in 4 channels (12-50 MeV, 50-130 MeV, 130-220 MeV, 220-350 MeV, and some heavier ions with larger atomic mass numbers from Li to Fe (mass 26) in 6 channels. This data set contains Double Star 1 HID summary parameters at 1 min resolution. These parameters include the instrument status and ion fluxes (He, Li, Be, B, C, N, O, F, Mg, Ar, Fe).
DOI: 10.24400/802406/rr94-8ck7
title: Double Star 1 HID Prime Parameters

description: The Double Star Hot Ion Detector (HID) instruments are located on both the equatorial and polar satellites. They measure measure alpha-particles in the energy range 12 – 350 MeV in 4 channels (12-50 MeV, 50-130 MeV, 130-220 MeV, 220-350 MeV, and some heavier ions with larger atomic mass numbers from Li to Fe (mass 26) in 6 channels. This data set contains Double Star 1 HID prime parameters at spin resolution. These parameters include instrument status and ion fluxes (He, Li, Be, B, C, N, O, F, Mg, Ar, Fe).
DOI: 10.24400/802406/c2pv-mzb4
title: Double Star 1 HIA Summary Parameters

description: The Double Star 1 Hot Ion Analyzer (HIA) is an ion energy-spectrometry experiment, capable of obtaining full three-dimensional ion distributions with good angular and time resolution (one spacecraft spin). The HIA summary parameter data set contains various parameters at 1 min resolution. These parameters include universal time, the instrument status, the ion density, ion bulk velocity, and ion temperature.
DOI: 10.24400/802406/ezmg-5kgg
title: Double Star 1 HIA Prime Parameters

description: The Double Star 1 Hot Ion Analyzer (HIA) is an ion energy-spectrometry experiment, capable of obtaining full three-dimensional ion distributions with good angular and time resolution (one spacecraft spin). The HIA prime parameter data set contains various parameters at spin resolution. These parameters include universal time, the instrument status, the ion density, ion bulk velocity, and ion temperature.
DOI: 10.24400/802406/1c97-v080
title: Double-Star 1 HIA Ion Distribution - Raw Count

description: This dataset contains 3D Ion distributions in raw particle counts units from the HIA instrument on the DOUBLE STAR TC1 spacecraf
DOI: 10.24400/802406/371b-qtnm
title: Double-Star 1 HIA Ion Distribution - Phase Space Density

description: This dataset contains 3D Ion distributions in Particle_Phase_Space_Density units from the HIA instrument on the DOUBLE STAR TC1 spacecraft
DOI: 10.24400/802406/vfgz-phnk
title: Double-Star 1 HIA Ion Distribution - Particle Flux

description: This dataset contains 3D Ion distributions in differential particle flux units from the HIA instrument on the DOUBLE STAR TC1 spacecraft
DOI: 10.24400/802406/yp34-pvp1
title: Double-Star 1 HIA Ion Distribution - Particle Energy Flux

description: This dataset contains 3D Ion distributions in particle energy flux units from the HIA instrument on the DOUBLE STAR TC1 spacecraft