cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5b27pv6b
title: MassIVE Reanalysis RMSV000000512.5 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080829/PXD004163 [4 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/c56d5pf6d
title: MassIVE Reanalysis RMSV000000409.11 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080267/PXD002854 [10 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/c52n4zn3r
title: MassIVE Reanalysis RMSV000000384.21 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000081563 HeLa proteome, HeLa_Trypsin_46_fractions [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/c5xw4808j
title: MassIVE Reanalysis RMSV000000366.53 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000086387 A Quantitative Proteome Map of the Human Body, TMT10 MS3 [Mixture: 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: 10.17632/zpm792kc8v.1
title: Supplemental data

description: Supplemental Figure 1-3
DOI: 10.17632/9zmpvh7s9s.1
title: LINF_230024000

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/jh3w4g9gsx.1
title: LINF_230023800

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/db6g6z329n.1
title: LINF_240008500

description: aspartate aminotransferase
Leishmania infantum (strain JPCM5)
DOI: 10.25345/c5t43j64q
title: MassIVE Reanalysis RMSV000000370.20 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000082644 Proteomics, post-translational modifications, and integrative analyses reveal heterogeneity of molecular mechanisms within medulloblastoma subgroups [Mixture: Unfractionated_Phospho-tyrosine-enrichments_Plex04] [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: 10.17632/wb27gst7jr.1
title: LINF_240008400

description: UDP-galactose transporter | LPG5A
Leishmania infantum (strain JPCM5)
DOI: 10.25345/c5pc2td0k
title: MassIVE Reanalysis RMSV000000584.84 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000079514/PXD000561 [22 out of 41], Heart [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: 10.17632/jf55brtk4r.1
title: LINF_240008300

description: UDP-galactose transporter | LPG5A
Leishmania infantum (strain JPCM5)
DOI: 10.25345/c5jm23k5q
title: MassIVE Reanalysis RMSV000000382.51 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080596/PXD004242 [7 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: 10.17632/sv95c7ydpy.7
title: Dataset on Social and Psychological Effects of the COVID-19 Pandemic in Turkey

description: This data was collected to investigate how intolerance to distress and anxiety affects some of the behaviors that can be changed in response to the Covid-19 pandemic. This dataset comes from a survey of 2,868 people in Turkey about the effects of the Covid -19 pandemic. The dataset is ideal for studying how the Covid -19 pandemic shaped people's intolerance to distress and anxiety. The survey looked at personal cleaning habits, bank/credit card usage, online shopping, personal security, and stockpiling. The data also included whether an individual or a household member had been officially diagnosed with Covid-19 and socio-demographic data.
DOI: 10.25345/c5dv1cs1k
title: MassIVE Reanalysis RMSV000000592.37 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000083508 29 tissues, appendix_vermiform_appendix Trypsin_HCD_QExactiveplus [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: 10.17632/trd43wp68c.1
title: List of macrozoobenthos groups and species in model groups (present / absent) in the shallow tundra lakes (North-east of the European part of Russia) 

description: We studied biodiversity of zoobenthos communities in 2000-2014 in the shallow tundra lakes (North-east of the European part of Russia)
This table presents the list of macrozoobenthos taxa from samples collected in the Malozemelskaya and Bolshezemelskaya tundra. The list includes revealed taxonomic groups of zoobenthos (16) and lower-rank taxa (83) for some (model) groups: Oligochaeta, Hirudinea, Mollusca, Phyllopoda, Amphipoda, Ephemeroptera, Plecoptera, Coleoptera, Trichoptera. 

Each column of the table corresponds to a group of shallow lakes in different river basins of tundra (I-VI): I – lakes from Ortina River Basin; II – lakes from Neruta River Basin; III – lakes from Kolva River Basin; IV – lakes from More-yu River Basin; V – lakes near Syattey-ty lakes (Vork); VI – Yarey-yu River Basin. 
The list of taxa contains only our own data. The detailed of site descriptions and analysis of the list of taxa is given in [1].

1.  Loskutova O.A., Baturina M.A. Macrozoobenthos Communities of Small Tundra Lakes in the Northeast of the European Part of Russia // Russian Journal of Ecology. 2022. (in press).
2. Chertoprud M.V., Chertoprud E.S. A short guide to freshwater invertebrates in the center of European Russia. M.: KMK Scientific Press Ltd., 2010.184 p. (In Russian)
3. Key to Identification of Zooplankton and Zoobenthos of Fresh Water of European Russia, KMK Scientific Press, Moscow, 2010, pp. 151–183. (In Russian).
4. Lillehammer A. 1988. Stoneflies (Plecoptera) of Fennoscandian and Denmark. Fauna Entomologica Scandinavica Vol. 21., Leiden, 169 pp. 
5. Teslenko V.A., Zhiltzova, L.A. Key to the stoneflies (Insecta, Plecoptera) of Russia and adjacent countries. Imagines and nymphs Dalnauka, Vladivostok, 2009. 382 pp. [in Russian].
6. Lepneva S. G. Fauna of the USSR. Caddisflies. Vol. II. Issues 1, 2. Zoological Institute of the USSR Academy of Sciences. Moscow, Leningrad. 1964. 560 pp. [in Russian]. 
7. Timm T. A guide to the freshwater Oligochaeta and Polychaeta of northern and central Europe. Lauterbornia, 1999. Issues 66.  235 pp.
8. Methodology for the study of biogeocenoses of inland waters.  M .: Nauka, 1975. 240 pp. (in Russian).

The study was performed in part as Federal Tasks of Department of Animals Ecology of the Institute of Biology of Komi Science Centre of the Ural Branch of the Russian Academy of Sciences “Faunal diversity and spacial and ecological structure of animal communities in the North-East of European Russia and adjacent areas in the context of environmental changes and development" (№ 1021051101423-9-1.6.12;1.6.13;1.6.14)
DOI: 10.3886/e120341
title: Code for "The Rising Return to Non-cognitive Skill"

description: This paper uses administrative data from Sweden to document trends in the labor market returns to skills. Between 1992 and 2013, the economic return to non-cognitive skill – a psychologist-assessed measure of teamwork and leadership skill – roughly doubled. The return to cognitive skill was relatively stable and decreased modestly during the 2000s, however. Among men with similar levels of education, the return to non-cognitive skill is higher than the return to cognitive skill. The increasing return to non-cognitive skill is driven by changes at the top of the wage distribution and by sorting into higher-paying occupations.<br>
DOI: 10.3886/e120341v2
title: Code for "The Rising Return to Non-cognitive Skill"

description: This paper uses administrative data from Sweden to document trends in the labor market returns to skills. Between 1992 and 2013, the economic return to non-cognitive skill – a psychologist-assessed measure of teamwork and leadership skill – roughly doubled. The return to cognitive skill was relatively stable and decreased modestly during the 2000s, however. Among men with similar levels of education, the return to non-cognitive skill is higher than the return to cognitive skill. The increasing return to non-cognitive skill is driven by changes at the top of the wage distribution and by sorting into higher-paying occupations.<br>
DOI: 10.25345/c5959cb9t
title: MassIVE Reanalysis RMSV000000443.4 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080834/PXD001115 [4 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/c55d8nj65
title: MassIVE Reanalysis RMSV000000586.46 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000079526/PXD000865 [25 out of 46], Liver [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/c51n7xr21
title: MassIVE Reanalysis RMSV000000362.94 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000081607 Confetti, ArgC-AspN 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: 10.3886/e125461
title: Data and Code for: "LinkedIn(to) Job Opportunities: Experimental Evidence from Job Readiness Training"

description: This project measures LinkedIn use and employment for a group of 1,638 young workers in major cities in South Africa, between 2016 and 2019. The posted data includes survey data from workers, usage data from LinkedIn, and administrative data on workers' participation in job readiness training.<br>
description: Response Rates: 60 to 100% across the different data sources<br>
description: Census of all participants in job readiness training programs included in the experimental study.<br>
DOI: 10.3886/e125461v1
title: Data and Code for: "LinkedIn(to) Job Opportunities: Experimental Evidence from Job Readiness Training"

description: This project measures LinkedIn use and employment for a group of 1,638 young workers in major cities in South Africa, between 2016 and 2019. The posted data includes survey data from workers, usage data from LinkedIn, and administrative data on workers' participation in job readiness training.<br>
description: Response Rates: 60 to 100% across the different data sources<br>
description: Census of all participants in job readiness training programs included in the experimental study.<br>
DOI: 10.25345/c5ww7737t
title: MassIVE Reanalysis RMSV000000397.8 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000088434 LOPIT-DC subcellular map of U-2 OS cells [BioReplicate: REP2_SET1] [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/c5s46h930
title: MassIVE Reanalysis RMSV000000433.14 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080836/PXD003700 [3 out of 14] [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: 10.3886/e125341
title: Data and Code for: Political Fragmentation and Government Stability. Evidence from Local Governments in Spain

description: <br> <pre>This paper studies how political fragmentation affects government stability. Using a regression-discontinuity design, we show that each additional party with representation in the local parliament increases the probability that the incumbent government is unseated by 5 percentage points. The entry of an additional party affects stability by increasing both the probability of a single-party majority and the instability of governments when such a majority is not feasible. We interpret our results in light of a bargaining model of coalition formation featuring government instability. <br><br><br></pre>
description: Spanish Municipalities <br>.
DOI: 10.13026/5vp3-8s83
title: VinDr-Mammo: A large-scale benchmark dataset for computer-aided detection and diagnosis in full-field digital mammography

description: Breast cancer is one of the most prevalent types of cancer and the leading
type of cancer death. Mammography is the recommended imaging modality for
periodic breast cancer screening. A few datasets have been published to
develop computer-aided tools for mammography analysis. However, these datasets
either have a limited sample size or consist of screen-film mammography (SFM),
which have been replaced by full-field digital mammography (FFDM) in clinical
practices. This project introduces a large-scale full-field digital
mammography dataset of 5,000 four-view exams, which are double read by
experienced mammographers to provide cancer assessment and breast density
following the Breast Imaging Report and Data System (BI-RADS). Breast
abnormalities that require further examination are also marked by bounding
rectangles.
DOI: 10.13026/br2v-7517
title: VinDr-Mammo: A large-scale benchmark dataset for computer-aided detection and diagnosis in full-field digital mammography

description: Breast cancer is one of the most prevalent types of cancer and the leading
type of cancer death. Mammography is the recommended imaging modality for
periodic breast cancer screening. A few datasets have been published to
develop computer-aided tools for mammography analysis. However, these datasets
either have a limited sample size or consist of screen-film mammography (SFM),
which have been replaced by full-field digital mammography (FFDM) in clinical
practices. This project introduces a large-scale full-field digital
mammography dataset of 5,000 four-view exams, which are double read by
experienced mammographers to provide cancer assessment and breast density
following the Breast Imaging Report and Data System (BI-RADS). Breast
abnormalities that require further examination are also marked by bounding
rectangles.
DOI: 10.25345/c5nc5sg8r
title: MassIVE Reanalysis RMSV000000584.85 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000079514/PXD000561 Part 2 [39 out of 85], Kidney [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.6374014
title: IoT-Enabled Smart Waste Management Systems for Smart Cities: A Systematic Review

description: Data collected from primary studies. We 1) identified the main approaches and services that are applied in the city and SGB-level SWM systems, 2) listed sensors and actuators and analyzed their application in various types of SWM systems, 3) listed the direct and indirect stakeholders of the SWM systems, 4) identified the types of data shared between the SWM systems and stakeholders, and 5) identified the main promising directions and research gaps in the field of SWM systems.
DOI: 10.25345/c5hm52p40
title: MassIVE Reanalysis RMSV000000366.54 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000086387 A Quantitative Proteome Map of the Human Body, TMT10 MS3 [Mixture: 13] [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/c5cz3283k
title: MassIVE Reanalysis RMSV000000555.2 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000083978 2018CHPP, trypsin files [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/c5862bg07
title: MassIVE Reanalysis RMSV000000389.24 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080812/PXD004927 [10 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: 10.5281/zenodo.5718845
title: Chromatograms: Rapid multilocus adaptation of clonal cabbage leaf curl virus populations to Arabidopsis thaliana

description: Sei-0 and Col-0 <em>Arabidopsis thaliana </em>plants were inoculated with WT and mutant cabbage leaf curl virus and PCR amplicons targeting the Rep gene region were Sanger-sequenced, as documented (Hoyer et al. 2022).