cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c57940z1b
title: MassIVE Reanalysis RMSV000000503.2 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080792/PXD004273 [2 out of 2] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c53j3948g
title: MassIVE Reanalysis RMSV000000367.5 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080859/PXD001205 [3 out of 5] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.6084/m9.figshare.19391063
title: Effects of Spartina invasions on blue carbon sequestration in China

description: 1. Coastal wetlands are large reservoirs of soil carbon (C) and have been invaded globally by the exotic species <i>Spartina alterniflora</i>. However, the effects of these invasions on blue C sequestration remain unclear. 2. Here, we conducted a meta-analysis of 2479 soil organic C (SOC) observations collected from 91 field studies in coastal China, the world’s largest introduced range for <i>S. alterniflora</i>. 3. Our results show that <i>S. alterniflora</i> invasions had no significant effect on SOC in vegetated native coastal wetlands in China. <i>S. alterniflora</i> increased the SOC in the top 30 cm of salt marshes after invading only one of the nine types of native marshes, the native marsh was dominated by a dwarf succulent species, <i>Suaeda salsa</i>, in the northern subtropics, and decreased the SOC in the top 60 cm of mangrove habitats after invasion in the southern subtropics. <i>S. alterniflora</i> invasions did not significantly affect the SOC in salt marshes or mangroves dominated by other native species. Therefore, the C sequestration capacity of <i>S. alterniflora</i> does not differ from those of most native dominant species. Moreover, the SOC in <i>S. alterniflora</i>-invaded ecosystems increased on only a decadal-scale and then decreased, rather than increasing monotonically as was previously thought. 4. 1. <i>Synthesis and applications</i>. Our findings reveal that<i> S. alterniflora</i> invasions apparently increase the blue C sink in China only in native ecosystems dominated by specific species in specific regions and only over short time periods. Therefore, the expansion of <i>S. alterniflora</i> should not be considered as a natural climate solution to increase C sink in coastal China. Instead, future efforts are required to eradicate <i>S. alterniflora</i> preferentially in the coastal wetlands where<i> S. alterniflora</i> invasions do not increase C sinks, and to conserve and restore native coastal wetlands nationwide for increasing both ecological integrity and C sinks and mitigate climate change.
DOI: 10.6084/m9.figshare.19391063.v3
title: Effects of Spartina invasions on blue carbon sequestration in China

description: 1. Coastal wetlands are large reservoirs of soil carbon (C) and have been invaded globally by the exotic species <i>Spartina alterniflora</i>. However, the effects of these invasions on blue C sequestration remain unclear. 2. Here, we conducted a meta-analysis of 2479 soil organic C (SOC) observations collected from 91 field studies in coastal China, the world’s largest introduced range for <i>S. alterniflora</i>. 3. Our results show that <i>S. alterniflora</i> invasions had no significant effect on SOC in vegetated native coastal wetlands in China. <i>S. alterniflora</i> increased the SOC in the top 30 cm of salt marshes after invading only one of the nine types of native marshes, the native marsh was dominated by a dwarf succulent species, <i>Suaeda salsa</i>, in the northern subtropics, and decreased the SOC in the top 60 cm of mangrove habitats after invasion in the southern subtropics. <i>S. alterniflora</i> invasions did not significantly affect the SOC in salt marshes or mangroves dominated by other native species. Therefore, the C sequestration capacity of <i>S. alterniflora</i> does not differ from those of most native dominant species. Moreover, the SOC in <i>S. alterniflora</i>-invaded ecosystems increased on only a decadal-scale and then decreased, rather than increasing monotonically as was previously thought. 4. <i>Synthesis and applications</i>. Our findings reveal that<i> S. alterniflora</i> invasions apparently increase the blue C sink in China only in native ecosystems dominated by specific species in specific regions and only over short time periods. Therefore, the expansion of <i>S. alterniflora</i> should not be considered as a natural climate solution to increase C sink in coastal China. Instead, future efforts are required to eradicate <i>S. alterniflora</i> preferentially in the coastal wetlands where<i> S. alterniflora</i> invasions do not increase C sinks, and to conserve and restore native coastal wetlands nationwide for increasing both ecological integrity and C sinks and mitigate climate change.
DOI: 10.25345/c5zs2kh33
title: MassIVE Reanalysis RMSV000000398.16 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000086899 SubCellBarcode Scalable proteome-wide mapping of protein localization and relocalization [BioReplicate: MVSC_HF_20160226_SUBCELL_U251_TMT_IPG3-10_7of15ul] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5v11vp9n
title: MassIVE Reanalysis RMSV000000384.20 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000081563 HeLa proteome, CellLine_293_46_fractions_rep1 [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5519/qd.t3ydy118
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5083223 records)
DOI: 10.25345/c5q814w5w
title: MassIVE Reanalysis RMSV000000386.11 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080864/PXD003708 [4 out of 15] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5fq9q87v
title: MassIVE Reanalysis RMSV000000584.72 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000079514/PXD000561 [3 out of 41], Urinary bladder [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5kh0f30p
title: MassIVE Reanalysis RMSV000000388.23 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080701/PXD000612 [26 out of 27] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5281/zenodo.6373558
title: Image dataset to train a deep learning model to decode Leetspeak obfuscated characters

description: The dataset contains an image database (18,981 images) that could be used to train a deep learning model to accurately detect characters. We have successfully used it to create a model that identifies characters encoded using LeetSpeak. The original dataset can be found in the Mondragon Unibertsitatea Repository -- https://gitlab.danz.eus/datasharing/ski4spam The training dataset consists of: - Alphabetic letters (a-z) written using different fonts and styles (regular, cursive, bold, cursive+bold) - Handwritten letters: English handwriting from the Chars74k dataset [2] which is available at http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/.
DOI: 10.5281/zenodo.6373422
title: Image dataset to train a deep learning model to decode Leetspeak obfuscated characters

description: The dataset contains an image database (18,981 images) that could be used to train a deep learning model to accurately detect characters. We have successfully used it to create a model that identifies characters encoded using LeetSpeak. The original dataset can be found in the Mondragon Unibertsitatea Repository -- https://gitlab.danz.eus/datasharing/ski4spam The training dataset consists of: - Alphabetic letters (a-z) written using different fonts and styles (regular, cursive, bold, cursive+bold) - Handwritten letters: English handwriting from the Chars74k dataset [2] which is available at http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/.
DOI: 10.25345/c5b27pv5v
title: MassIVE Reanalysis RMSV000000362.80 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000081607 Confetti, GluC-LysC CID [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c56970220
title: MassIVE Reanalysis RMSV000000362.81 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000081607 Confetti, ArgC-GluC-Chymotrypsin HCD [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c52j68787
title: MassIVE Reanalysis RMSV000000399.10 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080692/PXD002516 [2 out of 10] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5xs5jm3v
title: MassIVE Reanalysis RMSV000000618.17 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000081649/PXD006833 [8 out of 19] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5t14ts8x
title: MassIVE Reanalysis RMSV000000364.5 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080688/PXD001225 [3 out of 7] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5517/ccdc.csd.cc1znjgm
title: CCDC 1836981: Experimental Crystal Structure Determination

description: Related Article: Iris Elser, Benjamin R. Kordes, Wolfgang Frey, Katharina Herz, Roman Schowner, Laura Stöhr, Hagen J. Altmann, Michael R. Buchmeiser|2018|Chem.-Eur.J.|24|12652|doi:10.1002/chem.201801862
DOI: 10.5517/ccdc.csd.cc1znjjp
title: CCDC 1836983: Experimental Crystal Structure Determination

description: Related Article: Iris Elser, Benjamin R. Kordes, Wolfgang Frey, Katharina Herz, Roman Schowner, Laura Stöhr, Hagen J. Altmann, Michael R. Buchmeiser|2018|Chem.-Eur.J.|24|12652|doi:10.1002/chem.201801862
DOI: 10.5517/ccdc.csd.cc1zrx3r
title: CCDC 1840225: Experimental Crystal Structure Determination

description: Related Article: Daniel E. Díaz, Leonel Llanos, Pablo Arce, Romina Lorca, Juan Guerrero, Juan Costamagna, Daniel Aravena, Guillermo Ferraudi, Allen Oliver, A. Graham Lappin, Luis Lemus|2018|Chem.-Eur.J.|24|13839|doi:10.1002/chem.201802290
DOI: 10.5517/ccdc.csd.cc1zrx4s
title: CCDC 1840226: Experimental Crystal Structure Determination

description: Related Article: Daniel E. Díaz, Leonel Llanos, Pablo Arce, Romina Lorca, Juan Guerrero, Juan Costamagna, Daniel Aravena, Guillermo Ferraudi, Allen Oliver, A. Graham Lappin, Luis Lemus|2018|Chem.-Eur.J.|24|13839|doi:10.1002/chem.201802290
DOI: 10.5517/ccdc.csd.cc1zrx7w
title: CCDC 1840229: Experimental Crystal Structure Determination

description: Related Article: Daniel E. Díaz, Leonel Llanos, Pablo Arce, Romina Lorca, Juan Guerrero, Juan Costamagna, Daniel Aravena, Guillermo Ferraudi, Allen Oliver, A. Graham Lappin, Luis Lemus|2018|Chem.-Eur.J.|24|13839|doi:10.1002/chem.201802290
DOI: 10.5517/ccdc.csd.cc1zrx8x
title: CCDC 1840230: Experimental Crystal Structure Determination

description: Related Article: Daniel E. Díaz, Leonel Llanos, Pablo Arce, Romina Lorca, Juan Guerrero, Juan Costamagna, Daniel Aravena, Guillermo Ferraudi, Allen Oliver, A. Graham Lappin, Luis Lemus|2018|Chem.-Eur.J.|24|13839|doi:10.1002/chem.201802290
DOI: 10.5517/ccdc.csd.cc1znjhn
title: CCDC 1836982: Experimental Crystal Structure Determination

description: Related Article: Iris Elser, Benjamin R. Kordes, Wolfgang Frey, Katharina Herz, Roman Schowner, Laura Stöhr, Hagen J. Altmann, Michael R. Buchmeiser|2018|Chem.-Eur.J.|24|12652|doi:10.1002/chem.201801862
description: Related Article: Katharina Herz,  Maren Podewitz,  Laura Stöhr,  Dongren Wang,  Wolfgang Frey,  Klaus R. Liedl,  Suman Sen,  Michael R. Buchmeiser|2019|J.Am.Chem.Soc.|141|8264|doi:10.1021/jacs.9b02092
DOI: 10.25345/c5p844033
title: MassIVE Reanalysis RMSV000000549.2 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000088409 Quantitative PTM Maps of Human Pathologic Tau Identify Patient Heterogeneity and Define Critical Steps in Alzheimers Disease Progression - frontal gyrus (sarkosyl soluble) [Cohort: Non-Alzheimers_Soluble] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5jh3d60f
title: MassIVE Reanalysis RMSV000000446.8 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080839/PXD004981 [1 out of 11] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5dv1cs03
title: MassIVE Reanalysis RMSV000000565.3 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080712/PXD002613 [1 out of 3] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5930nz74
title: MassIVE Reanalysis RMSV000000586.37 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000079526/PXD000865 [16 out of 46], Testis [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.6084/m9.figshare.19391273
title: Study on micromechanical characteristics and failure mechanism of conglomerate reservoir

description: The tight conglomerate oil in Mahu sag, located in the northwest margin of Junggar basin, China, is the largest conglomerate oil reservoir in the world. The reservoir has the characteristics of low porosity, low permeability, different gravel content, different cementation types and heterogeneity. The micromechanical properties and rock fracture characteristics are studied to provide a theoretical basis for hydraulic fracturing development. In this study, the mechanical properties, micromechanical properties, fracture characteristics and micromechanical mechanism of conglomerate are studied experimentally. The conclusions are as follows: (1) conglomerate reservoir is a granular composite medium cemented by gravel and matrix. The key factors of conglomerate mechanical properties are gravel content, micromechanical properties of matrix and cementation strength of gravel and matrix; (2) With the increase of gravel volume content in conglomerate, the uniaxial compressive strength and elastic modulus of rock decrease, and the more complex the fracture network formed by fracture around gravel is; (3) According to different cementation types, the fracture characteristics are quite different. The higher the clay content in the matrix, the lower the cementation strength, and the easier the cementation surface of gravel and matrix to fracture and form fractures; (4) When the gravel content is ≤ 40%, the rock fracture is controlled by Orowan additional stress, and the strength of miscellaneous foundation is the key factor, forming a single fracture with high tortuosity; When the gravel content is 40-65%, the gravel content and cementation strength are the key factors of rock fracture, resulting in the fracture network around the gravel; When the gravel content is ≥ 65%, the rock fracture is controlled by Hertz contact stress. The gravel content is the key factor. Around gravel cracks and through gravel cracks are developed, resulting in complex fracture network, but the transformation scale of fracture network is small. Through this study, the fracture morphology and key factors of conglomerate fracture are explored, which can provide reference for hydraulic fracturing.
DOI: 10.25919/5f7c-0038
title: Parkes observations for project P1101 semester 2021OCTS_16

description: We propose to carry out fortnightly monitoring of a very active repeater, FRB~190520, with the Parkes UWL system. Our current observations show that FRB~190520 is not only the most active FRB that can be observed with Parkes, but also shows unique behaviour at 2 to 3 GHz frequency. This makes UWL the ideal instrument to carry out in-depth studies of this repeating FRB. With this program, we expect to detect a large sample of bursts from FRB~190520, and in collaboration with the FAST telescope we will study emission properties, fluence distributions and polarisation properties over an extremely wide bandwidth with high sensitivity.