cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5696zz8r
title: MassIVE Reanalysis RMSV000000354.4605 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, PICALM [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/c5b27ps2h
title: MassIVE Reanalysis RMSV000000354.4608 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, FHL1 [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: 10.3886/e163222
title: Constructing Corequisites: How Community Colleges Structure Corequisite Math Coursework and the Implications for Student Success

description: States and broad-access colleges are rapidly scaling corequisite coursework—a model where students concurrently enroll in college-level and developmental coursework—in response to dismal completion rates in traditional “developmental” sequences. At community colleges, evidence suggests that corequisite reforms can dramatically improve students’ completion of required college-level courses, but colleges often implement new programing and sequences with limited information. We analyzed administrative data from Texas community colleges implementing a statewide corequisite mandate. Our results illustrate: (a) how colleges structured corequisite courses in response to the statewide mandate, and (b) how corequisite coursework characteristics predicted student outcomes. Our results suggest that some corequisite coursework elements—including mixed-ability college-level classes, higher credits for the dev-ed corequisite support course, and using the same instructor across both the college-level and dev-ed course—improve students’ probability of passing college-level math, though these course design elements do not appear to predict long-term outcomes like persistence in college.
description: Data access obtained via restricted-access data license
DOI: 10.3886/e163222v1
title: Constructing Corequisites: How Community Colleges Structure Corequisite Math Coursework and the Implications for Student Success

description: States and broad-access colleges are rapidly scaling corequisite coursework—a model where students concurrently enroll in college-level and developmental coursework—in response to dismal completion rates in traditional “developmental” sequences. At community colleges, evidence suggests that corequisite reforms can dramatically improve students’ completion of required college-level courses, but colleges often implement new programing and sequences with limited information. We analyzed administrative data from Texas community colleges implementing a statewide corequisite mandate. Our results illustrate: (a) how colleges structured corequisite courses in response to the statewide mandate, and (b) how corequisite coursework characteristics predicted student outcomes. Our results suggest that some corequisite coursework elements—including mixed-ability college-level classes, higher credits for the dev-ed corequisite support course, and using the same instructor across both the college-level and dev-ed course—improve students’ probability of passing college-level math, though these course design elements do not appear to predict long-term outcomes like persistence in college.
description: Data access obtained via restricted-access data license
DOI: 10.25345/c52j6854d
title: MassIVE Reanalysis RMSV000000354.4566 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, NDUFS6 [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: 10.25919/ksws-3137
title: CSIRO Lead Isotope Database - Northern Australian Proterozoic Basins

description: Lead isotope data produced by CSIRO from late 1970's to 2010 for mineral exploration research.
DOI: 10.25345/c5xs5jj0h
title: MassIVE Reanalysis RMSV000000354.4612 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, FKBP9 [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/c5t43j39s
title: MassIVE Reanalysis RMSV000000354.4611 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, METTL17 [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.6231855
title: SARS-CoV-2 antigen exposure history shapes phenotypes and specificity of memory CD8 T cells

description: This dataset contains aggregated CellRanger output for six 10x Genomics (5'GEX+abTCR+Feature barcoding) experiments from the study by Minervina, Pogorelyy et al (medrxiv). <br> The scripts to process it further are available at github (repository). <br> Raw sequencing data is available at SRA (acc. PRJNA744851)
DOI: 10.25345/c5pc2t964
title: MassIVE Reanalysis RMSV000000354.4614 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, TIMM23 [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/c5jm23h1w
title: MassIVE Reanalysis RMSV000000354.4613 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, BBOX1 [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/c5dv1cp6n
title: MassIVE Reanalysis RMSV000000354.4618 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, FLYWCH2 [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.6232103
title: SARS-CoV-2 antigen exposure history shapes phenotypes and specificity of memory CD8 T cells

description: This dataset contains aggregated CellRanger output for six 10x Genomics (5'GEX+abTCR+Feature barcoding) experiments from the study by Minervina, Pogorelyy et al (medrxiv). <br> The scripts to process it further are available at github (repository). <br> Raw sequencing data is available at SRA (acc. PRJNA744851)
DOI: 10.5281/zenodo.6231854
title: SARS-CoV-2 antigen exposure history shapes phenotypes and specificity of memory CD8 T cells

description: This dataset contains aggregated CellRanger output for six 10x Genomics (5'GEX+abTCR+Feature barcoding) experiments from the study by Minervina, Pogorelyy et al (medrxiv). <br> The scripts to process it further are available at github (repository). <br> Raw sequencing data is available at SRA (acc. PRJNA744851)
DOI: 10.25345/c5930nw2t
title: MassIVE Reanalysis RMSV000000354.4615 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, AGR3 [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/c5599z28x
title: MassIVE Reanalysis RMSV000000354.4616 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ZMYND19 [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/c51j9785n
title: MassIVE Reanalysis RMSV000000354.4617 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, HESX1 [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/c5ww7712h
title: MassIVE Reanalysis RMSV000000354.4619 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, DCAF4L1 [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/c5s46h69j
title: MassIVE Reanalysis RMSV000000354.4620 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SUN2 [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/c5nc5sd4x
title: MassIVE Reanalysis RMSV000000354.4621 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MYADM [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/c5hm52k92
title: MassIVE Reanalysis RMSV000000354.4623 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CYP4A22 [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.19217064
title: Remotely Sensed Carbonyl Sulfide Constrains Model Estimates of Amazon Primary Productivity

description: The dataset consists of 98 comma-separated value (CSV) files for each month of OCS concentrations measured by MIPAS and simulated using GEOS-Chem. Each file contains the latitude/longitude for the MIPAS observation, the retrieved value from MIPAS, as well as the model values at the same location extracted from 3 simulations with different surface fluxes. Additional details are included in the associated manuscript.<br>Files are presented in two temporal formsMonthly - Each file corresponds to a specific month in a specific year of observationsAll - Each file corresponds to a specific month, aggregated across all years of data Months with no MIPAS observations are excluded from the dataset.<br> Columns in order:1. MIPAS observation latitude (°)2. MIPAS observation longitude (°)3. MIPAS observed OCS concentration (ppt)4. MIPAS observed OCS uncertainty (ppt)5. GEOS-Chem nearest grid cell latitude (°)6. GEOS-Chem nearest grid cell longitude (°)7. GEOS-Chem simulated value, low-GPP model (ppt)8. GEOS-Chem simulated value, medium-GPP model (ppt)9. GEOS-Chem simulated value, high-GPP model (ppt)
DOI: 10.6084/m9.figshare.19217064.v1
title: Remotely Sensed Carbonyl Sulfide Constrains Model Estimates of Amazon Primary Productivity

description: The dataset consists of 98 comma-separated value (CSV) files for each month of OCS concentrations measured by MIPAS and simulated using GEOS-Chem. Each file contains the latitude/longitude for the MIPAS observation, the retrieved value from MIPAS, as well as the model values at the same location extracted from 3 simulations with different surface fluxes. Additional details are included in the associated manuscript.<br>Files are presented in two temporal formsMonthly - Each file corresponds to a specific month in a specific year of observationsAll - Each file corresponds to a specific month, aggregated across all years of data Months with no MIPAS observations are excluded from the dataset.<br> Columns in order:1. MIPAS observation latitude (°)2. MIPAS observation longitude (°)3. MIPAS observed OCS concentration (ppt)4. MIPAS observed OCS uncertainty (ppt)5. GEOS-Chem nearest grid cell latitude (°)6. GEOS-Chem nearest grid cell longitude (°)7. GEOS-Chem simulated value, low-GPP model (ppt)8. GEOS-Chem simulated value, medium-GPP model (ppt)9. GEOS-Chem simulated value, high-GPP model (ppt)
DOI: 10.25345/c5cv4bs5x
title: MassIVE Reanalysis RMSV000000354.4622 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ZNF511 [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/c5833n01h
title: MassIVE Reanalysis RMSV000000354.4624 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, NOP16 [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/c54b2x587
title: MassIVE Reanalysis RMSV000000354.4626 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SLC39A11 [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/c50p0wr8w
title: MassIVE Reanalysis RMSV000000354.4629 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, EYA1 [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/c5vx06439
title: MassIVE Reanalysis RMSV000000354.4632 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, EAPP [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/c5r49g98t
title: MassIVE Reanalysis RMSV000000354.4627 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, C5orf38 [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/c5mc8rh36
title: MassIVE Reanalysis RMSV000000354.4628 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ZNF324 [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.