cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6201566
title: Neural substrates of neuropsychological profiles in dystrophynopathies: A pilot study of diffusion tractography imaging

description: Tables and Figures sources for "Biagi L, Lenzi S, Cipriano E, Fiori S, Bosco P, Cristofani P, et al. (2021) Neural substrates of neuropsychological profiles in dystrophynopathies: A pilot study of diffusion tractography imaging. PLoS ONE 16(5): e0250420. https://doi.org/10.1371/journal.pone.0250420"
DOI: 10.25345/c56q1sh5n
title: MassIVE Reanalysis RMSV000000354.3365 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, UBXN2A [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.6185267
title: Adaptive immune response selects for increased body size - dataset

description: The dataset for the manuscript " Adaptive immune response selects for increased body size ". The dataset is packed in ZIP archive 'Dataset_Ejsmond_etal_2022.zip' with variables and description of variables saved in Matlab workspaces.
description: The work was supported by the Polish National Science Centre (Grant No. 2018/31/B/NZ8/01210). The calculations were performed with PLGrid Infrastructure.
DOI: 10.5281/zenodo.6185266
title: Adaptive immune response selects for increased body size - dataset

description: The dataset for the manuscript " Adaptive immune response selects for increased body size ". The dataset is packed in ZIP archive 'Dataset_Ejsmond_etal_2022.zip' with variables and description of variables saved in Matlab workspaces.
description: The work was supported by the Polish National Science Centre (Grant No. 2018/31/B/NZ8/01210). The calculations were performed with PLGrid Infrastructure.
DOI: 10.25345/c52z12q2c
title: MassIVE Reanalysis RMSV000000354.3368 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, HRASLS5 [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/c5z60c28k
title: MassIVE Reanalysis RMSV000000354.3369 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, PER1 [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/c5th8bn57
title: MassIVE Reanalysis RMSV000000354.3370 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, COX5A [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/y5x5jjp8bn.1
title: Heat stress during the transition period is associated with impaired production, reproduction, and survival in dairy cows

description: Supplemental tables
DOI: 10.17632/tt35pz49xy.2
title: Effectiveness Of Martian Regolith As A Radiation Shield Dataset 

description: The file Full_Calculation_Data.xlsx contains the data in the research paper that was taken in a  raw state from the output of the SPENVIS tool prior to reaching the Martian surface and then analysed using the Bethe-Bloch formula to calculate the percentage of radiation that is absorbed during its passage through Martian regolith. This data is for the same locations, epochs and sources as for the simulation data and is the initial data taken from the MEREM model used in the simulation result prior to its passage below the surface. 
The file Full_Simulation_Data.xlsx contains data taken from the SPENVIS MEREM tool of the radiation level of the elevation profile below the surface. This data was taken at solar maximum and minimum to allow for best and worst case scenarios. And was taken at prospective crewed martian mission landing sites.
DOI: 10.17632/8vpy42r34y.2
title: MLL5 is involved in retinal photoreceptor maturation through facilitating CRX-mediated photoreceptor gene transactivation

description: Histone methylation, particularly at the H3K4 position, is thought to contribute to the specification of photoreceptor cell fate; however, the mechanisms linking histone methylation with transcription factor transactivation and photoreceptor gene expression have not yet been determined. Here, we investigated how MLL5 affects photoreceptor gene transcription through Immunoprecipitation (IP) , RNA-seq and Western blotting. Attached are the uncropped immunoblotting and gene expression change between Mll5-WT (WT-1, WT-2) and MLL5-KO (KO-1, KO-2) mice retinas.
DOI: 10.25345/c5pr7mv2k
title: MassIVE Reanalysis RMSV000000354.3372 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, IKZF3 [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/c5k06x18j
title: MassIVE Reanalysis RMSV000000354.3371 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SLC15A1 [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/c5f76674s
title: MassIVE Reanalysis RMSV000000354.3373 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SKP2 [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/c59g5gd9j
title: MassIVE Reanalysis RMSV000000354.3376 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ZNF621 [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/c55q4rm6w
title: MassIVE Reanalysis RMSV000000354.3374 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ZNF563 [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/c5222r649
title: MassIVE Reanalysis RMSV000000354.3378 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, POLL [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/c5x921k0s
title: MassIVE Reanalysis RMSV000000354.3379 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SLC48A1 [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/c5sj19r7h
title: MassIVE Reanalysis RMSV000000354.3377 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ZNF302 [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/c5ns0kz3c
title: MassIVE Reanalysis RMSV000000354.3380 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, RABGAP1L [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/c5d795b4j
title: MassIVE Reanalysis RMSV000000354.3381 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, POLI [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/c5j09w49s
title: MassIVE Reanalysis RMSV000000354.3375 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SERINC1 [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.5681229
title: A global survey of specialized metabolic diversity encoded in bacterial genomes

description: Bacterial secondary metabolites have been studied for decades for their usefulness as drugs, such as antibiotics. However, the identification of new structures has been decelerating, while multi-resistant pathogens continue to emerge. It is unclear how much chemical diversity exists in Nature and whether discovery efforts should be focused on established antibiotic producers or rather on understudied taxa. Here, we surveyed around 170,000 bacterial genomes and several thousand of Metagenome Assembled Genomes (MAGs). Our results indicate that only 3% of the genomic potential for natural products has been experimentally discovered. Our analysis connects the emergence of most biosynthetic diversity in evolutionary history close to the taxonomic rank of genus, identifies <em>Streptomyces</em> as by far the most biosynthetically diverse, followed by producers from genera such as <em>Amycolatopsis</em>, <em>Kutzneria</em> and <em>Micromonospora</em>, and highlights multiple promising high-producing taxa that have thus far been less investigated, such as Weeksellaceae (Bacteroidota), Myxococcaceae (Myxococcota), <em>Pleurocapsa</em>, Nostocaceae (Cyanobacteria).
description: Supplementary tables have been updated after inclusion of an additional dataset to the analysis.
DOI: 10.25345/c58g8fj1w
title: MassIVE Reanalysis RMSV000000354.3382 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, NDUFB5 [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: 10.48370/ofd/fskcdy
title: Exidia recisa (Ditm.) Fr., 3016

description: Fungarium Macromycetes
DOI: 10.6084/m9.figshare.19207980
title: INTERACTION_DATA.xlsx

description: We visited each farm at three time points: in early (18<sup>th</sup>–30<sup>th</sup> June) and late (30<sup>th</sup> July–10<sup>th</sup> August) summer 2016 when WFS were in bloom, and during the following spring before the onset of WFS flowering (from 25<sup>th</sup> March to 9<sup>th</sup> April 2017). We recorded flower density and diversity on two to three transects per farm and time point, depending on the flower provision at the time we performed the survey. Transects of 100 m length and 2 m width were selected for high abundance and richness of flowers and insect visitors within the farm. When present, we prioritised WFS in summer. When no WFS were flowering, other transects were performed on other non-cropped field boundary features such as hedgerows. Transect locations were adjusted as necessary across time points. In total, 55 summer transects were performed, including 28 on WFS, and 27 on other field margins with no sown flowers. In spring 2017, we performed transects either on hedgerows including perennial trees and shrubs, on field margins with perennial flowering plants such as<i> Lamium album</i>, or on flowering oilseed rape crop fields. The spring floral data includes only flower diversity, as density cannot be reliably estimated for large flowering trees such as <i>Prunus sp.</i> and <i>Salix sp.,</i> which represent important pollinator resources.
DOI: 10.25345/c54t6f38w
title: MassIVE Reanalysis RMSV000000354.3385 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, TYSND1 [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: 10.5255/ukda-sn-855308
title: Frame Analysis of the Issue of Hydraulic Fracturing and Shale Gas in UK Policy Documents and Parliamentary Debate, 2018

description: We analysed 1,557 UK policy documents. This included departmental documents (98), select committee reports (18), POST notes and Commons library briefings (57), written ministerial statements (52), UK general election manifestos (14), policy paper (46), major speeches (9), DECC blog posts (6), and passages of parliamentary debate (1,297). The analysis sought to identify key 'frames' used in the Westminster policy debate over shale development in the UK. Frames are, most simply, shared ways of thinking and talking about particular issues. We identified 9 such frames - 4 pro-shale development and 5 anti-shale development. The data therefore is comprised of every statement from across our corpus that expressed one of the 9 key policy frames. See Williams and Sovacool (2019) for a description of the 9 frames.
DOI: 10.5517/ccdc.csd.cc28pw3z
title: CCDC 2106391: Experimental Crystal Structure Determination

description: Related Article: Shivani, Akriti, Virendra Kumar, Paramjit Kaur, Kamaljit Singh|2022|Dyes Pigm.|200|110160|doi:10.1016/j.dyepig.2022.110160
DOI: 10.5517/ccdc.csd.cc28pw40
title: CCDC 2106392: Experimental Crystal Structure Determination

description: Related Article: Shivani, Akriti, Virendra Kumar, Paramjit Kaur, Kamaljit Singh|2022|Dyes Pigm.|200|110160|doi:10.1016/j.dyepig.2022.110160
DOI: 10.5517/ccdc.csd.cc28pw51
title: CCDC 2106393: Experimental Crystal Structure Determination

description: Related Article: Shivani, Akriti, Virendra Kumar, Paramjit Kaur, Kamaljit Singh|2022|Dyes Pigm.|200|110160|doi:10.1016/j.dyepig.2022.110160
DOI: 10.5517/ccdc.csd.cc28pw62
title: CCDC 2106394: Experimental Crystal Structure Determination

description: Related Article: Shivani, Akriti, Virendra Kumar, Paramjit Kaur, Kamaljit Singh|2022|Dyes Pigm.|200|110160|doi:10.1016/j.dyepig.2022.110160
DOI: 10.25345/c5125q95j
title: MassIVE Reanalysis RMSV000000354.3388 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, AP1G2 [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/c5w950p11
title: MassIVE Reanalysis RMSV000000354.3390 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, LPPR1 [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/c5rj48v78
title: MassIVE Reanalysis RMSV000000354.3391 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, TBC1D7 [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.