cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5733593
title: The first mitochondrial genome of Creophilus Leach and Platydracus Thomson (Coleoptera: Staphylinidae: Staphylinini) and phylogenetic implications

description: <strong>Datasets</strong>: The trimmed data matrices and partition files as shown in Table 2. P1P2R_Phylip.phy: 1<sup>st</sup> and 2<sup>nd</sup> positions of PCG nucleotides and rRNAs. P1P2R_partition.txt: Partition scheme for P1P2R_Phylip.phy. P12R_Phylip.phy: the united first two positions of PCG nucleotides plus rRNAs. P12R_partition.txt: Partition scheme for P12R_Phylip.phy. P2R_Phylip.phy: 2<sup>nd</sup> position of PCG nucleotides and rRNAs. P2R_partition.txt: Partition scheme for P2R_Phylip.phy. AA_Phylip.phy: PCG amino acids. AA_partition.txt: Partition scheme for AA_Phylip.phy. <strong>Trees: </strong>The expanded consensus trees constructed by all data compositions, partition schemes, and models shown in Table 2. P1P2R_FP.tree: edge-unlinked and full partitioned (FP) dataset of PCG positions 1 & 2 + rRNAs. P1P2R_MP.tree: edge-unlinked and merged partitioned (MP) dataset of PCG positions 1 & 2 + rRNAs. P1P2R_NP.tree: unpartitioned (NP) dataset of PCG positions 1 & 2 + rRNAs. P1P2R_NPH4.tree: NP dataset of PCG positions 1 & 2 + rRNAs under +H4 heterotachy model. P12R_FP.tree: FP dataset of united PCG positions 1 & 2 + rRNAs. P12R_MP.tree: MP dataset of united PCG positions 1 & 2 + rRNAs. P12R_NP.tree: NP dataset of united PCG positions 1 & 2 + rRNAs. P12R_NPH4.tree: NP dataset of united PCG positions 1 & 2 + rRNAs under +H4 heterotachy model. P2R_FP.tree: FP dataset of PCG position 2 + rRNAs. P2R_MP.tree: MP dataset of PCG position 2 + rRNAs. P2R_NP.tree: NP dataset of PCG position 2 + rRNAs. P2R_NPH4.tree: NP dataset of PCG position 2 + rRNAs under +H4 heterotachy model. AA_FP.tree: FP dataset of PCG amino acids. AA_MP.tree: MP dataset of PCG amino acids. AA_NP.tree: NP dataset of PCG amino acids. AA_NPC60.tree: NP dataset of PCG amino acids under +C60 mixture model. <strong>Tables S1-2.xlsx:</strong> Table S1: Pairwise similarity of nucleotide alignments between <em>Creophilus maxillosus</em> and the 92 sampled species in the Staphylinoidea. Table S2: Percentage of conserved sites in amino acid alignments between <em>Creophilus maxillosus</em> and the 92 sampled species in the Staphylinoidea. Data Use Statement. Data on genetic material contained in this paper are published for non-commercial use only. Utilization by third parties for purposes other than non-commercial scientific research may infringe the conditions under which the genetic resources were originally accessed, and should not be undertaken without obtaining consent from the corresponding author of the paper and/or obtaining permission from the original provider of the genetic material.
DOI: 10.25345/c5j960b29
title: MassIVE Reanalysis RMSV000000354.4682 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, TRMT61A [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/c5dj58h72
title: MassIVE Reanalysis RMSV000000354.4652 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, DAB2IP [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/c5513tw9g
title: MassIVE Reanalysis RMSV000000354.4681 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ART3 [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/c58s4jq3x
title: MassIVE Reanalysis RMSV000000354.4680 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, DENND1B [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/c5183436m
title: MassIVE Reanalysis RMSV000000354.4679 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CAPN5 [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/c5wm13v32
title: MassIVE Reanalysis RMSV000000354.4686 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CDKL1 [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/c5rv0d20t
title: MassIVE Reanalysis RMSV000000354.4683 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, APP [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: 10.6078/m7w37tgb
title: Madaba Plains Project-`Umayri
DOI: 10.25345/c5n29p75b
title: MassIVE Reanalysis RMSV000000354.4687 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ITPK1 [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/c5h98zf0q
title: MassIVE Reanalysis RMSV000000354.4688 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ASCC1 [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.6233291
title: Dataset for "Difference of photometric properties between regular and non-regular Miras in the Magellanic Clouds"

description: <strong>Summary: </strong>This deposit supplements the manuscript, "<em>Difference of photometric properties between regular and non-regular Miras in the Magellanic Clouds</em>", accepted to the Astronomical Journal (17 February 2022). <strong>Description of contents: </strong>This repository contains the numerical values for all of the features for the data (including the training set) and classification results. The specific files included in this deposit are as follows:<br> <br> ReadMe.txt This Readme file.<br> Feature_table_with_training_data.txt Feature Table with training data<br> Feature_table_with_classify_data.txt Feature table with classify data<br> Classify_result_table.txt Mira Regular/Non-regular <br> machine-learning classification <strong>System requirements:</strong> The files are formatted according to the machine readable format used by the AAS Journals and CDS/VizieR. Specific information on the structure of MRT files can be found at: AAS: https://journals.aas.org/mrt-overview/<br> CDS: http://cds.u-strasbg.fr/doc/catstd.htx These files can be read in python using the astropy package: <pre><code class="language-python">from astropy.table import Table data = Table.read("Classify_result_table.txt", format="ascii.cds")</code></pre> or with the most recent version of TOPCAT (&gt; Version 4.8) <strong>Additional comments: </strong>The features of training data and classify data were calculated by Python package Feature Analysis for Time Series (FATS), and the result was presented in the file names "Feature_table_with_training_data.txt" and "Feature_table_with_classify_data.txt". Then these two data set were used in our machine learning process. The classification result of Mira was presented in the file "Classify_result_table.txt".<br>
description: Upload performed by an AAS Journals Data Editor.
DOI: 10.5281/zenodo.6233290
title: Dataset for "Difference of photometric properties between regular and non-regular Miras in the Magellanic Clouds"

description: <strong>Summary: </strong>This deposit supplements the manuscript, "<em>Difference of photometric properties between regular and non-regular Miras in the Magellanic Clouds</em>", accepted to the Astronomical Journal (17 February 2022). <strong>Description of contents: </strong>This repository contains the numerical values for all of the features for the data (including the training set) and classification results. The specific files included in this deposit are as follows:<br> <br> ReadMe.txt This Readme file.<br> Feature_table_with_training_data.txt Feature Table with training data<br> Feature_table_with_classify_data.txt Feature table with classify data<br> Classify_result_table.txt Mira Regular/Non-regular <br> machine-learning classification <strong>System requirements:</strong> The files are formatted according to the machine readable format used by the AAS Journals and CDS/VizieR. Specific information on the structure of MRT files can be found at: AAS: https://journals.aas.org/mrt-overview/<br> CDS: http://cds.u-strasbg.fr/doc/catstd.htx These files can be read in python using the astropy package: <pre><code class="language-python">from astropy.table import Table data = Table.read("Classify_result_table.txt", format="ascii.cds")</code></pre> or with the most recent version of TOPCAT (&gt; Version 4.8) <strong>Additional comments: </strong>The features of training data and classify data were calculated by Python package Feature Analysis for Time Series (FATS), and the result was presented in the file names "Feature_table_with_training_data.txt" and "Feature_table_with_classify_data.txt". Then these two data set were used in our machine learning process. The classification result of Mira was presented in the file "Classify_result_table.txt".<br>
description: Upload performed by an AAS Journals Data Editor.
DOI: 10.25345/c5cj87m6b
title: MassIVE Reanalysis RMSV000000354.4691 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, LHX4 [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/c57s7ht26
title: MassIVE Reanalysis RMSV000000354.4692 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, HIST1H2BJ [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/c5416t09n
title: MassIVE Reanalysis RMSV000000354.4693 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, OMD [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/c50c4sk99
title: MassIVE Reanalysis RMSV000000354.4689 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, UTP15 [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: 10.25921/hqha-z958
title: EK80 Water Column Sonar Data Collected During SD1023-201801
DOI: 10.25345/c5vm42z49
title: MassIVE Reanalysis RMSV000000354.4690 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, GOLGA7B [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/c5qv3c49g
title: MassIVE Reanalysis RMSV000000354.4697 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, WDYHV1 [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/c5m32nb45
title: MassIVE Reanalysis RMSV000000354.4694 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SPIN2B [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/c5gb1xj01
title: MassIVE Reanalysis RMSV000000354.4699 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, YPEL1 [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/c5bk16q6n
title: MassIVE Reanalysis RMSV000000354.4701 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, HDAC7 [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/c56t0gx30
title: MassIVE Reanalysis RMSV000000354.4702 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CDKL3 [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/c5348gh3t
title: MassIVE Reanalysis RMSV000000354.4700 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ZNF281 [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/c5zc7rv8t
title: MassIVE Reanalysis RMSV000000354.4703 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CCR3 [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.6234161
title: Modeling of waning immunity after SARS-CoV-2 vaccination and influencing factors - minimum dataset

description: This is the minimum dataset to reproduce the statistical analysis performed in the manuscript entitled "Modeling of waning immunity after SARS-CoV-2 vaccination and influencing factors" by Pérez-Alós, L. et al. (2022).
DOI: 10.5281/zenodo.6234160
title: Modeling of waning immunity after SARS-CoV-2 vaccination and influencing factors - minimum dataset

description: This is the minimum dataset to reproduce the statistical analysis performed in the manuscript entitled "Modeling of waning immunity after SARS-CoV-2 vaccination and influencing factors" by Pérez-Alós, L. et al. (2022).