cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c53b5w90k
title: MassIVE Reanalysis RMSV000000354.5252 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, HNRNPR [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: 10.18434/mds2-2546
title: PION: Password-based IoT Onboarding Over Named Data Networking
DOI: 10.6084/m9.figshare.19222485
title: GRL data.xlsx

description: The date are about radiocarbon and stable carbon isotope composition of gran size fractionated sediments
DOI: 10.6084/m9.figshare.19222485.v1
title: GRL data.xlsx

description: The date are about radiocarbon and stable carbon isotope composition of gran size fractionated sediments
DOI: 10.5281/zenodo.6230907
title: MPAS-Seaice v1.0.0 data set

description: MPAS-Seaice v1.0.0 data set
DOI: 10.5281/zenodo.6230906
title: MPAS-Seaice v1.0.0 data set

description: MPAS-Seaice v1.0.0 data set
DOI: 10.25345/c5zk55n5z
title: MassIVE Reanalysis RMSV000000354.5254 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, LGALS8 [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/c5tt4fv29
title: MassIVE Reanalysis RMSV000000354.5255 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, PANK2 [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/c5q52fd9m
title: MassIVE Reanalysis RMSV000000354.5253 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ZCCHC12 [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/c5kd1qm6z
title: MassIVE Reanalysis RMSV000000354.5259 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, PTGDS [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.6122535
title: 100 Hz ROCS microscopy correlated with fluorescence reveals cellular dynamics on different spatiotemporal scales

description: Image Datasets to 100 Hz ROCS microscopy correlated with fluorescence reveals cellular dynamics on different spatiotemporal scales
DOI: 10.5281/zenodo.6122534
title: 100 Hz ROCS microscopy correlated with fluorescence reveals cellular dynamics on different spatiotemporal scales

description: Image Datasets to 100 Hz ROCS microscopy correlated with fluorescence reveals cellular dynamics on different spatiotemporal scales
DOI: 10.25345/c5fn10t3p
title: MassIVE Reanalysis RMSV000000354.5262 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, TGFB1 [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/c59w0909b
title: MassIVE Reanalysis RMSV000000354.5261 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, NUFIP2 [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.6245863
title: Source data for "High-κ perovskite membranes as insulators for two-dimensional transistors"

description: IMPORTANT: The data must not be reused in other studies or publications without the approval of the corresponding authors. Additional data related to this paper may be requested from the corresponding authors upon reasonable request.
DOI: 10.5281/zenodo.6245862
title: Source data for "High-κ perovskite membranes as insulators for two-dimensional transistors"

description: IMPORTANT: The data must not be reused in other studies or publications without the approval of the corresponding authors. Additional data related to this paper may be requested from the corresponding authors upon reasonable request.
DOI: 10.25345/c5639k64g
title: MassIVE Reanalysis RMSV000000354.5227 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CACNB4 [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: 10.24381/cds.ada9c583
title: Precipitation monthly and daily gridded data from 2000 to 2017 derived from satellite microwave observations
DOI: 10.25345/c52b8vd0b
title: MassIVE Reanalysis RMSV000000354.5263 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, C1orf127 [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/c5xk84r66
title: MassIVE Reanalysis RMSV000000354.5264 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MRPL41 [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.17375036
title: High spatial resolution dataset of La Mobilière insurance customers

description: We present the La Mobilière insurance customers dataset: a 12-year-long longitudinal collection of data on policies of customers of the Swiss insurance company La Mobilière. To preserve the privacy of La Mobilière customers, we propose the data aggregated at two geographical levels, based on the place of residence of the customer: postal (ZIP code) areas and municipalities. For each geographical area, the data provides summary statistics on: i) the demographic characteristics of the customer base, ii) characteristics of vehicles insurance policies and iii) characteristics of housing and building insurance policies.
DOI: 10.6084/m9.figshare.17375036.v1
title: High spatial resolution dataset of La Mobilière insurance customers

description: We present the La Mobilière insurance customers dataset: a 12-year-long longitudinal collection of data on policies of customers of the Swiss insurance company La Mobilière. To preserve the privacy of La Mobilière customers, we propose the data aggregated at two geographical levels, based on the place of residence of the customer: postal (ZIP code) areas and municipalities. For each geographical area, the data provides summary statistics on: i) the demographic characteristics of the customer base, ii) characteristics of vehicles insurance policies and iii) characteristics of housing and building insurance policies.
DOI: 10.5281/zenodo.6245777
title: Example data for "Calibration of X-ray computed tomography for surface topography measurement using metrological characteristics"

description: Example raw data used to create figures during the conference paper "<em>Calibration of X-ray computed tomography for surface topography measurement using metrological characteristics</em>", presented at euspen’s 21st International Conference & Exhibition 2020 Data in the ".datx" format are acquired using a ZYGO NexView NX2 coherence scanning interferometer. Data in the ".stl" format are acquired using a Nikon MCT 225 X-ray computed tomography instrument.
description: The authors would like to thank ZYGO for the use of the coherence scanning interferometry instrument. Ángela Rodríguez-Sánchez would like to thank the Engineering and Physical Science Research Council (EPSRC, grant number EP/M008983/1) and the Manufacturing Technology Centre for funding this research. Adam Thompson and Richard Leach would like to thank EURAMET AdvanCT project (project number 17IND08) for funding this work.
DOI: 10.5281/zenodo.6245776
title: Example data for "Calibration of X-ray computed tomography for surface topography measurement using metrological characteristics"

description: Example raw data used to create figures during the conference paper "<em>Calibration of X-ray computed tomography for surface topography measurement using metrological characteristics</em>", presented at euspen’s 21st International Conference & Exhibition 2020 Data in the ".datx" format are acquired using a ZYGO NexView NX2 coherence scanning interferometer. Data in the ".stl" format are acquired using a Nikon MCT 225 X-ray computed tomography instrument.
description: The authors would like to thank ZYGO for the use of the coherence scanning interferometry instrument. Ángela Rodríguez-Sánchez would like to thank the Engineering and Physical Science Research Council (EPSRC, grant number EP/M008983/1) and the Manufacturing Technology Centre for funding this research. Adam Thompson and Richard Leach would like to thank EURAMET AdvanCT project (project number 17IND08) for funding this work.
DOI: 10.6084/m9.figshare.19222542
title: Individual frames of five flights

description: Individual RGB frames in JPG of five drone flights over the same forest area. <br><br>This file is a compressed TAR package. To compress it on the command line, with TAR installed, use "tar -zxvf frames.tar.gz" and a subfolder will be created containing the frames for each of the five flights. <br><br>The orthomosaics generated from these images (as discussed in https://doi.org/10.1117/1.JRS.15.016518) are available at https://figshare.com/account/home#/collections/5857632 as in PNG format.
DOI: 10.6084/m9.figshare.19222542.v1
title: Individual frames of five flights

description: Individual RGB frames in JPG of five drone flights over the same forest area. <br><br>This file is a compressed TAR package. To compress it on the command line, with TAR installed, use "tar -zxvf frames.tar.gz" and a subfolder will be created containing the frames for each of the five flights. <br><br>The orthomosaics generated from these images (as discussed in https://doi.org/10.1117/1.JRS.15.016518) are available at https://figshare.com/account/home#/collections/5857632 as in PNG format.
DOI: 10.25345/c5sx64b3t
title: MassIVE Reanalysis RMSV000000354.5265 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, PLEKHB2 [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/c5p55dj0g
title: MassIVE Reanalysis RMSV000000354.5266 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, KLHL29 [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.19222581.v1
title: Annotated samples from the five flights

description: This file is a compressed TAR package. To compress it on the command line, with TAR installed, use "tar -zxvf samples.tar.gz" and a subfolder will be created containing the samples for each category: ground, leafless, red, yellow, and green.<br><br>The orthomosaics from which these samples are taken (as discussed in https://doi.org/10.1117/1.JRS.15.016518) are available at https://figshare.com/account/home#/collections/5857632 as in PNG format.
DOI: 10.6084/m9.figshare.19222581
title: Annotated samples from the five flights

description: This file is a compressed TAR package. To compress it on the command line, with TAR installed, use "tar -zxvf samples.tar.gz" and a subfolder will be created containing the samples for each category: ground, leafless, red, yellow, and green.<br><br>The orthomosaics from which these samples are taken (as discussed in https://doi.org/10.1117/1.JRS.15.016518) are available at https://figshare.com/account/home#/collections/5857632 as in PNG format.
DOI: 10.25345/c5jd4pq76
title: MassIVE Reanalysis RMSV000000354.5268 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SNX7 [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/c5dn3zx2k
title: MassIVE Reanalysis RMSV000000354.5267 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SLC25A25 [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/c58w38374
title: MassIVE Reanalysis RMSV000000354.5271 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CDNF [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/c5542j939
title: MassIVE Reanalysis RMSV000000354.5269 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, UBE2G1 [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.6244943
title: Supplemetary data for the paper "Knockdown of circular RNA hsa_circ_0003307 inhibits synovial inflammation in ankylosing spondylitis by regulating the PI3K/AKT pathway" by Yanyan Fang, Jian Liu*, Yan Long, Jianting Wen, Dan Huang, Ling Xin

description: Statistical analyses and graphs were performed using Prism 8 software (GraphPad, La Jolla, USA). Age was analyzed using Student's t test (Supplementary Table 1A,B). Expression of circRNA_0003307 in PBMCs was analyzed using Welch's t-test (Supplementary Table 2A,B). CircRNA_0003307 expression in AS-FLS was analyzed using a one-way analysis of variance, then Games-Howell test (Supplementary Table 4A–C). The p-PI3K protein expression in AS-FLS was analyzed using a one-way analysis of variance, then Games-Howell test (Supplementary Table 5A–C). The p-AKT protein expression in AS-FLS was analyzed using a one-way analysis of variance, then Games-Howell test (Supplementary Table 6A–C). The TNF-α levels in AS-FLS was analyzed using a one-way analysis of variance, then Games-Howell test (Supplementary Table 7A–C). The TNFAIP2 levels in AS-FLS was analyzed using a one-way analysis of variance, then Games-Howell test (Supplementary Table 8A–C). Categorical variables were compared using chi-square test. Correlations were assessed using Spearman’s analysis because clinical characteristics were not normally distributed (Supplementary Table 3). A receiver operating characteristic (ROC) curve analysis was performed to judge whether circRNA_0003307 can be used as a diagnostic indicator for AS. P &lt;0.05 indicates that the difference was statistically significant.
DOI: 10.5281/zenodo.6244942
title: Supplemetary data for the paper "Knockdown of circular RNA hsa_circ_0003307 inhibits synovial inflammation in ankylosing spondylitis by regulating the PI3K/AKT pathway" by Yanyan Fang, Jian Liu*, Yan Long, Jianting Wen, Dan Huang, Ling Xin

description: Statistical analyses and graphs were performed using Prism 8 software (GraphPad, La Jolla, USA). Age was analyzed using Student's t test (Supplementary Table 1A,B). Expression of circRNA_0003307 in PBMCs was analyzed using Welch's t-test (Supplementary Table 2A,B). CircRNA_0003307 expression in AS-FLS was analyzed using a one-way analysis of variance, then Games-Howell test (Supplementary Table 4A–C). The p-PI3K protein expression in AS-FLS was analyzed using a one-way analysis of variance, then Games-Howell test (Supplementary Table 5A–C). The p-AKT protein expression in AS-FLS was analyzed using a one-way analysis of variance, then Games-Howell test (Supplementary Table 6A–C). The TNF-α levels in AS-FLS was analyzed using a one-way analysis of variance, then Games-Howell test (Supplementary Table 7A–C). The TNFAIP2 levels in AS-FLS was analyzed using a one-way analysis of variance, then Games-Howell test (Supplementary Table 8A–C). Categorical variables were compared using chi-square test. Correlations were assessed using Spearman’s analysis because clinical characteristics were not normally distributed (Supplementary Table 3). A receiver operating characteristic (ROC) curve analysis was performed to judge whether circRNA_0003307 can be used as a diagnostic indicator for AS. P &lt;0.05 indicates that the difference was statistically significant.
DOI: 10.34740/kaggle/dsv/3220283
title: Packt Books Dataset