cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6202288
title: Architecture-based Uncertainty Impact Analysis for Confidentiality (Reproduction Set)

description: Reproduction set for master thesis of Niko Benkler. Zip file contains code, data set and installation guides. Please open README.md to get information about content structure.
DOI: 10.5281/zenodo.6202285
title: Architecture-based Uncertainty Impact Analysis for Confidentiality (Reproduction Set)

description: Reproduction set for master thesis of Niko Benkler. Zip file contains code, data set and installation guides. Please open README.md to get information about content structure.
DOI: 10.25345/c5ng4gs4s
title: MassIVE Reanalysis RMSV000000354.3441 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, KIAA0930 [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: 10.6084/m9.figshare.19204658
title: ANI values for Pantoea sp. EnvD and Pantoea sp. EnvH

description: Average Nucleotide Identity (ANI) values for both <i>Pantoea </i>sp. EnvD and <i>Pantoea </i>sp. EnvH computed by FastANI software. Pairwise ANI values of at most 82% were obtained for each of the sequenced genomes with genomes representing known <i>Pantoea </i>species.<br>
DOI: 10.6084/m9.figshare.19204658.v1
title: Table of ANI scores for Pantoea sp. EnvD and Pantoea sp. EnvH

description: Summary of the ANI scores for both Pantoea sp. EnvD and Pantoea sp. EnvH. The scores were computed by fastANI software with reference genome for the strains in the phylogenetic tree (except for Tatumella terrera and Tatumella punctata).
DOI: 10.25345/c5hq3s002
title: MassIVE Reanalysis RMSV000000354.3440 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, WIPI1 [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: 10.17632/v5p4x7fj8h.2
title: Employee Engagement as a Performance Driver  of State-Owned Enterprises (SOE’s)  in Indonesia 

description: Abstract: One of the key elements in the operational 
performance of State-Owned Enterprises (SOEs) is the
improvement of quality planning, human resources (HRs), and
financial management that can serve as a monitoring tool as well
as a performance driver. Herein, the research examined the extent
to which employee engagement, comprised of cognitive
engagement, emotional engagement, and behavioral engagement
could drive employee performance in Indonesian SOEs. The
research was conducted with a survey method to 429 middle
managers in 141 SOEs in Indonesia. Data were collected through
an indirect communication technique using a questionnaire and
direct communication techniques using limited interviews and
documentary studies. Data were analyzed descriptively through
weighted averages and inferentially through Structural Equation
Modelling (SEM). The results of the study show that: Employee
engagement in Indonesian SOEs was in the “good” category, but
not optimal. The performance of the SOEs managers was
measured based on the total performance scorecard (TPS).
Employee engagement (cognitive, emotional, and behavioral)
partially and simultaneously contributed positively and
significantly to the improvement of the performance of
Indonesian SOEs based on the total performance scorecard 
 
Keywords: Company performance; employee engagement;
cognitive engagement; emotional engagement; behavior
engagement.
DOI: 10.17632/9zjdm9mj8j.2
title: Employee Competencies and Compensation Strategies as Company's Strategic Effort to Escalate Employee Performance

description: Abstract: The results of the study indicate that employees were not  satisfied  with  their  work  discipline,  competence,  and empowerment.  Thus,  job  satisfaction  cannot  be  compared  to employee  performance.  Applying  a  survey  method  to  reveal  the perceptions of 376 employees of the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency of the  Republic  of Indonesia, starting from August 2016 - August 2017, this study reveals  work  discipline,  competence,  and  empowerment  had implications  for  job  satisfaction  in  improving  employee performance.  Data  were  analysed  descriptively  (weighted  mean score)  and  inferentially  (Structural  Equation  Modeling).  The results  showed  that:  (1)  Work  discipline,  competence, empowerment,  job  satisfaction  and  performance  of  the  civil servants  at  the  Ministry  of  Agrarian  and  Spatial Planning/National  Land  Agency  of  the  Republic  of  Indonesia were in “good” category, albeit not optimal; (2) Work discipline, competence, and empowerment simultaneously and partially had significant effect on civil servants’ job satisfaction at the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency of  the  Republic  of  Indonesia;  and  (3)  Work  discipline, competence,  and  empowerment  both  directly  and  indirectly (through Job Satisfaction) were simultaneously and significantly related  to  the  performance  of  civil  servants  of  the  Ministry  of Agrarian Affairs and Spatial Planning/National Land Agency of the Republic of Indonesia. 

Keywords : Competence, employee performance, empowerment, job satisfaction, work discipline
DOI: 10.17632/tcz2j2h953.2
title: Employee Competencies and Compensation Strategies as Company's Strategic Effort to Escalate Employee Performance

description: Dr. Rusdin Tahir (http://www.rusdintahir.com), Born in Bone, August 14, 1966. Expert in the field of organizational behavior and human resource strategies. Undergraduate & Post-graduate school: Business Administration, Indonesian Education University (1992); Master Degree in Universitas Padjadjaran (2000); Doctor Degree in Universitas Padjadjaran (2013). Area of Interest: Management Science and Business Administration Science. Scientific Work: The Influence of Implementation of Quality Control Circle on The Job Performance of Employees (1991); Human Resource Strategy Dimension & Technology Transfer Strategy As Determinant of Corporate Performance-based Balanced Scorecard (1999); Quality of work-life, Organizational Citizenship, Employee engagement, total performance scorecard (2012)
DOI: 10.25345/c5cz32556
title: MassIVE Reanalysis RMSV000000354.3442 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, C22orf32 [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/c5862bc2v
title: MassIVE Reanalysis RMSV000000354.3445 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MTX1 [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/c54j09x9f
title: MassIVE Reanalysis RMSV000000354.3446 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SAR1A [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: 10.17632/nf8mh6gzb2.2
title: Evaluating Changes in Health Risk from Drought Over the Contiguous United States

description: This is datasets supporting an article with the same name submitted to the International Journal of Environmental Research and Public Health (IJERPH). It contains processed initial datasets of the research, that contains different datasets needed to create the matrix of vulnerability ratios.  Files with names starting in digits (01 to 06) provide downloaded and cleaned datasets for the vulnerabilities and hazards that are used for further analyses. Files with names starting in alphabets (A to F) are the results of analyses supporting each figure in the manuscript.
The goal of this study was to distinguish and map categorical health risk levels of drought and its vulnerability and hazard components for two 5 year periods of 2010-2014 and 2015-2019 and their changes.
DOI: 10.17632/rjvshwnygg.1
title: LINF_220022300

description: ser/thr protein phosphatase | ApaH-like phosphatase | ALPH1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/xr6g882654.1
title: LINF_230005000

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/ct9tv4n373.1
title: LINF_230005100

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/k8s4t4hzvn.1
title: LINF_230005300

description: UTP15
Leishmania infantum (strain JPCM5)
DOI: 10.17632/ys7f9g7k5h.1
title: LINF_230005400

description: peroxidoxin | tryparedoxin peroxidase | mTXNPx | PRX1M
Leishmania infantum (strain JPCM5)
DOI: 10.17632/84brxybzm5.2
title: Panoramic video in education-A systematic literature review from 2011 to 2021

description: This systematic review of ten years of research on panoramic video in education aims to synthesize, meta-analyze, and critically evaluate state-of-the-art literature on panoramic video.
DOI: 10.25345/c50r9m46n
title: MassIVE Reanalysis RMSV000000354.3450 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SPATA22 [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.6201920
title: A Multivariate Index for Tropical intraseasonal Oscillations based on the Seasonally-varying Modal Structures

description: <pre>This repository contains the data for "A Multivariate Index for Tropical intraseasonal Oscillations based on the Seasonally-varying Modal Structures". </pre>
DOI: 10.5281/zenodo.5806376
title: A Multivariate Index for Tropical intraseasonal Oscillations based on the Seasonally-varying Modal Structures

description: <pre>This repository contains the data for "A Multivariate Index for Tropical intraseasonal Oscillations based on the Seasonally-varying Modal Structures". </pre>
DOI: 10.25345/c5w08wh22
title: MassIVE Reanalysis RMSV000000354.3447 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, EPO [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/c5r785p8p
title: MassIVE Reanalysis RMSV000000354.3451 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SLAMF6 [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/c5gq6r29q
title: MassIVE Reanalysis RMSV000000354.3448 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, U2SURP [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/c5mg7fw4j
title: MassIVE Reanalysis RMSV000000354.3452 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SERBP1 [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/c5bz6186f
title: MassIVE Reanalysis RMSV000000354.3449 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CKS1B [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.6203317
title: The Effect of Bone Graft Substitute in Healing Fractures with Bone Defects Through Examination of Alkaline Phosphatase and Radiology in the Murine Model (Rattus norvegicus) Wistar strain

description: Raw data for manuscript with the title <strong>The Effect of Bone Graft Substitute in Healing Fractures with Bone Defects Through Examination of Alkaline Phosphatase and Radiology in the Murine Model (<em>Rattus norvegicus</em>) Wistar strain </strong>
DOI: 10.25345/c57940v3z
title: MassIVE Reanalysis RMSV000000354.3453 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, PSMB3 [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: 10.7910/dvn/98lqpg
title: Replication Data for: Land and Legibility: When do Citizens Expect Secure Property Rights in Weak States

description: This dataset includes data and code to replicate findings in "Land and Legibility: When do Citizens Expect Secure Property Rights in Weak States." In addition, it includes a copy of the supplementary appendix with information on survey sampling, ethics, and consent.
DOI: 10.25345/c53j3920q
title: MassIVE Reanalysis RMSV000000354.3454 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, IPCEF1 [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: 10.5517/ccdc.csd.cc29gvg3
title: CCDC 2129435: Experimental Crystal Structure Determination

description: Related Article: Peng Dai, Yufei Li, Yu Chen, Jian Jiao, Qingqing Wang, Chenxiao Li, Yucheng Gu, Yanbin Zhang, Qing Xia, Wei-Hua Zhang|2022|Org.Lett.|24|1357|doi:10.1021/acs.orglett.2c00048
DOI: 10.25345/c5zs2kd5q
title: MassIVE Reanalysis RMSV000000354.3456 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CPVL [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/c5v11vm1w
title: MassIVE Reanalysis RMSV000000354.3457 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SPG7 [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/c5q814s7h
title: MassIVE Reanalysis RMSV000000354.3455 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, RC3H2 [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.6202731
title: Stream discharge, stage, electrical conductivity & temperature dataset from Otemma glacier forefield, Switzerland (from July 2019 to October 2021)

description: Stream data collected in the Otemma forefield (Switzerland) from July 2019 to Ocober 2021.<br> Data were collected by the research teams of Bettina Schaefli<sup>2</sup> and Stuart N. Lane<sup>1</sup>. <sup>1</sup> Institute of Earth Surface Dynamics (IDYST), University of Lausanne, 1015 Lausanne, Switzerland <sup>2</sup> Institute of Geography (GIUB), University of Bern, 3012 Bern, Switzerland For further information, please contact: tom.muller.1@unil.ch floreana.miesen@unil.ch <strong>Description of data </strong> A detailed description of the dataset is provided in the <strong>data_description_analysis.pdf</strong> file. In particular, the methodology and stage-discharge rating curves are provided in this file. Stream data were measured in three locations from glacier snout (Station 1); after the outwash plain (Station 2) and at the end of the glacier forefield (Station 3) (<strong>see overview_GS.png</strong>). A <strong>shapefile </strong>is also provided (coordinate system LV95). 2 datasets are available in the data.zip file: <strong>River_2019_2021_10T.csv</strong> : contains the measured River Electrical conductivity (EC) [μS/cm], Stage [meters] and Temperature [°C] data for all stations in a tidy data format (see pdf for detailed description), with a 10 minutes timestep. <strong>Discharge2020_10T.csv </strong>&<strong> Discharge2021_10T.csv </strong>: contains the estimated discharge [m<sup>3</sup>/s] at Station 1 and Station 2 from July 2020 to October 2021 and estimated error (2 standard deviations) in a tidy data format (see pdf for detailed description), with a 10 minutes timestep. Additionally, the point discharge measurements covering peak summer discharge to minimal winter baseflow are provided in the <strong>Point_discharge_measurements_2020_2021.xlsx</strong> file. Plots of river parameters and discharge are also provided in data.zip for vizualisation.