cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5x63b84r
title: MassIVE Reanalysis RMSV000000598.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080278/PXD000695 [1 out of 1] [launched by 806b7364e57049c5af1b166350dd662a]
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/c5ns0m19k
title: MassIVE Reanalysis RMSV000000603.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000079097/PXD002018 [1 out of 1] [launched by 806b7364e57049c5af1b166350dd662a]
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/c5j09w756
title: MassIVE Reanalysis RMSV000000605.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000079528/PXD003681 [1 out of 1] [launched by 806b7364e57049c5af1b166350dd662a]
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/c5d795f0z
title: MassIVE Reanalysis RMSV000000604.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000083947 Proteome of the Human Corpus Callosum [launched by 806b7364e57049c5af1b166350dd662a]
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/c58g8fm66
title: MassIVE Reanalysis RMSV000000597.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080620/PXD002137 [3 out of 3] [launched by 806b7364e57049c5af1b166350dd662a]
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/c54q7qt22
title: MassIVE Reanalysis RMSV000000606.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000083948 Human substantia nigra proteome dataset. TMT6, isobaric tag selected. mixed HCD and CID, fragmentation specified in spectrum file [launched by 806b7364e57049c5af1b166350dd662a]
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/c50z7109k
title: MassIVE Reanalysis RMSV000000608.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000079936 The value of subcellular fractionation for protein identification in a B-cell line (Ramos), 50ppm [launched by 806b7364e57049c5af1b166350dd662a]
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/c5w950r6b
title: MassIVE Reanalysis RMSV000000607.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000083950 Human Placenta profilling LTQ-OrbiTrap [launched by 806b7364e57049c5af1b166350dd662a]
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/c5rj48z3p
title: MassIVE Reanalysis RMSV000000609.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080256 CHPP chr 1,8,20 proteome dataset using the HCC cell lines of Hep3B and MHCC97H, instrument is AB5600, part 3 of 3 [launched by 806b7364e57049c5af1b166350dd662a]
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/c5ms3k49b
title: MassIVE Reanalysis RMSV000000610.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000083960 Chr16-HPP. Shotgun Analysis improvement. JPR HPP Special issue 2013. MCF7 Cell line. [launched by 806b7364e57049c5af1b166350dd662a]
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/c5h12vb41
title: MassIVE Reanalysis RMSV000000612.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080517/PXD004894 [1 out of 1] [launched by 806b7364e57049c5af1b166350dd662a]
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/c5c824j08
title: MassIVE Reanalysis RMSV000000611.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000086448 Update on virtual-experimental 2DE approach in chromosome-centric human proteome project [launched by 806b7364e57049c5af1b166350dd662a]
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/c57h1dq6h
title: MassIVE Reanalysis RMSV000000613.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000086444 Identification of Missing Proteins in Human Olfactory Epithelial Tissue by Liquid Chromatography-Tandem Mass Spectrometry [launched by 806b7364e57049c5af1b166350dd662a]
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/c53r0px3v
title: MassIVE Reanalysis RMSV000000614.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000086385 Human placental tissue LC-MS/MS [launched by 806b7364e57049c5af1b166350dd662a]
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/c5028ph1q
title: MassIVE Reanalysis RMSV000000615.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000083952 Missing proteins identified from the haploid cell lines: HAP1 and KBM-7 [C-HPP] [launched by 806b7364e57049c5af1b166350dd662a]
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/c5v97zv76
title: MassIVE Reanalysis RMSV000000617.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000088431 Mapping the spatial proteome of metastatic cells in colorectal cancer [launched by 806b7364e57049c5af1b166350dd662a]
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/c5qj7821w
title: MassIVE Reanalysis RMSV000000616.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000079562/PXD001874 [1 out of 1] [launched by 806b7364e57049c5af1b166350dd662a]
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.6370829
title: dataset of dendritic cell for vaccine of CBAVD

description: THIS IS THE DATASET FOR DENDRITIC CEL LAB RESULT TO BE USED FOR cbavd BASE OF VACCINE
DOI: 10.5281/zenodo.6370828
title: dataset of dendritic cell for vaccine of CBAVD

description: THIS IS THE DATASET FOR DENDRITIC CEL LAB RESULT TO BE USED FOR cbavd BASE OF VACCINE
DOI: 10.25345/c5ks6j76n
title: MassIVE Reanalysis RMSV000000618.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000081649 Human bladder,colon,kidney,liver cancer LC MS/MS [C-HPP] [launched by 806b7364e57049c5af1b166350dd662a]
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.5637530
title: Apache Software Foundation Incubator Project Sustainability Dataset

description: The data set contains ASF incubator projects data (updated in June 2021).
DOI: 10.5281/zenodo.4480752
title: Apache Software Foundation Incubator Project Sustainability Dataset

description: The data set contains ASF incubator projects data (updated in June 2021).
DOI: 10.5281/zenodo.5977109
title: Supplemental Data for TSE Paper

description: 1. Paper_FinalList_2009-2020.csv contains the full list of included 1428 papers<br> 2. Venue_Dictionary.csv contains the full list of included conference and journals (abbreviations and corresponding full names)<br> 3. DataExtraction_Task_Technique_2009-2020.csv contains the extracted related SE tasks and specific employed ML/DL algorithms under each category for all 1428 papers<br> 4. Task_DataPreprocessing.csv contains all 77 SE tasks and statistics about the different types of data preprocessing techniques for each SE task
DOI: 10.5281/zenodo.5977108
title: Supplemental Data for TSE Paper

description: 1. Paper_FinalList_2009-2020.csv contains the full list of included 1428 papers<br> 2. Venue_Dictionary.csv contains the full list of included conference and journals (abbreviations and corresponding full names)<br> 3. DataExtraction_Task_Technique_2009-2020.csv contains the extracted related SE tasks and specific employed ML/DL algorithms under each category for all 1428 papers<br> 4. Task_DataPreprocessing.csv contains all 77 SE tasks and statistics about the different types of data preprocessing techniques for each SE task
DOI: 10.17632/mw7hwpgkc8.1
title: Data for: Cyclic brittle-ductile oscillations recorded in exhuming high-pressure continental units and their seismogenic role (Northern Apennines, Italy)

description: Supporting Information for the article: Cyclic brittle-ductile oscillations recorded in exhuming high-pressure continental units and their seismogenic role (Northern Apennines, Italy)
DOI: 10.5281/zenodo.8238739
title: Endo_TS1_G16_PCM_chlorobenzene_def2tzvpp_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238738
title: Endo_TS1_G16_PCM_chlorobenzene_def2tzvpp_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238741
title: Endo_TS1_G16_PCM_chlorobenzene_def2tzvpp_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238740
title: Endo_TS1_G16_PCM_chlorobenzene_def2tzvpp_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238743
title: Endo_TS1_G16_PCM_dichloroethane_def2tzvpp_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238742
title: Endo_TS1_G16_PCM_dichloroethane_def2tzvpp_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238745
title: Endo_TS1_G16_PCM_dichloroethane_def2tzvpp_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238744
title: Endo_TS1_G16_PCM_dichloroethane_def2tzvpp_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238747
title: Endo_TS1_G16_PCM_chloroform_def2tzvpp_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238746
title: Endo_TS1_G16_PCM_chloroform_def2tzvpp_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238749
title: Endo_TS1_G16_PCM_chloroform_def2tzvpp_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238748
title: Endo_TS1_G16_PCM_chloroform_def2tzvpp_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238751
title: Endo_TS1_G16_PCM_chlorobenzene_def2tzvpp_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238750
title: Endo_TS1_G16_PCM_chlorobenzene_def2tzvpp_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238753
title: Endo_TS1_G16_PCM_chlorobenzene_def2tzvpp_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238752
title: Endo_TS1_G16_PCM_chlorobenzene_def2tzvpp_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238755
title: Endo_TS1_G16_PCM_carbon_tetrachloride_def2tzvpp_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238754
title: Endo_TS1_G16_PCM_carbon_tetrachloride_def2tzvpp_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238757
title: Endo_TS1_G16_PCM_carbon_tetrachloride_def2tzvpp_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238756
title: Endo_TS1_G16_PCM_carbon_tetrachloride_def2tzvpp_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238759
title: Endo_TS1_G16_PCM_DCM_def2tzvpp_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238758
title: Endo_TS1_G16_PCM_DCM_def2tzvpp_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8220652
title: NEMO-FABM-ERSEM-MIZER climate change simulation data

description: This dataset corresponds to data produced from running NEMO-FABM-ERSEM MIZER on the AMM7 domain as part of the COMFORT project and used in the Deliverable 3.3 (see related identifiers). A scientific manuscript is in preparation. The climate simulation was run from 1981-2100 forced by atmospheric and lateral boundary condition from the IPSL-CMR5a-MR (RCP 8.5) climate simulation (Dufresne et al., 2013; WCRP, 2016) . Data reported here are from 1990-2100, unless otherwise stated. Data has been post-processed to convert it to depth independent (2D), monthly averaged variables. Consequently all data are either depth-integrated, mean across depth (temperature, salinity) or surface data (nutrients). For access to the raw data or more details, please contact Helen Powley (hpo@pml.ac.uk).
DOI: 10.5281/zenodo.8220651
title: NEMO-FABM-ERSEM-MIZER climate change simulation data

description: This dataset corresponds to data produced from running NEMO-FABM-ERSEM MIZER on the AMM7 domain as part of the COMFORT project and used in the Deliverable 3.3 (see related identifiers). A scientific manuscript is in preparation. The climate simulation was run from 1981-2100 forced by atmospheric and lateral boundary condition from the IPSL-CMR5a-MR (RCP 8.5) climate simulation (Dufresne et al., 2013; WCRP, 2016) . Data reported here are from 1990-2100, unless otherwise stated. Data has been post-processed to convert it to depth independent (2D), monthly averaged variables. Consequently all data are either depth-integrated, mean across depth (temperature, salinity) or surface data (nutrients). For access to the raw data or more details, please contact Helen Powley (hpo@pml.ac.uk).
DOI: 10.5281/zenodo.8238761
title: Endo_TS1_G16_PCM_DCM_def2tzvpp_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238760
title: Endo_TS1_G16_PCM_DCM_def2tzvpp_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.26050/wdcc/nextgems_wp6oc
title: High frequency tropical Atlantic data from vertical mixing sensitivity runs with FESOM and ICON-O (nextGEMS WP6)

description: Project: Next Generation Earth Modelling Systems - nextGEMS is a collaborative European project. Funded by the EU’s Horizon 2020 programme, it will tap expertise from fourteen European Nations to develop two next generation (storm-resolving) Earth-system Models. Through breakthroughs in simulation realism, these models will allow us to understand and reliably quantify how the climate will change on a global and regional scale, and how the weather, including its extreme events, will look like in the future. See further details at https://nextgems-h2020.eu/ and https://cordis.europa.eu/project/id/101003470. Summary: In work package 6 of the nextGEMS project, several ocean-only model runs were performed with FESOM (Version 2.0) and ICON-O (Version 2.6.6), to test the sensitivity of the upper tropical Atlantic to different settings of the vertical mixing scheme. Two different mixing schemes were tested: TKE and KPP. For TKE, we tested different settings of the c_k parameter (0.1, 0.2 and 0.3), and for KPP different settings of the critical bulk Richardson number (0.3 and 0.27). These runs were done with both ICON-O and FESOM, to enable a comparison of the effects of the vertical mixing settings across different models. From ICON-O only, there are some additional TKE runs available, where we increased the interior ocean background mixing, and switched on the Langmuir turbulence parameterisation. There is also an ICON-O run which uses the FESOM default forcing bulk formulae, to check how much of the differences between the models originates from their different default bulk formulae. All model runs are ocean only, forced with hourly ERA5 reanalysis data. The horizontal resolution is 10km (for FESOM, the extratropical regions have a coarser grid). The output from the tropical Atlantic from these model runs is provided here, with a high temporal resolution of 3 hours, and interpolated to a 0.1°x0.1° latitude-longitude grid. Please read the readme before using the data: https://www.wdc-climate.de/ui/entry?acronym=nextGEMSWp6OceanREADME nextGEMS is funded through the European Union’s Horizon 2020 research and innovation program under the grant agreement number 101003470.