cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6091164
title: SuperDARN data in netCDF format (2018-Aug)

description: 2018-Aug SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6142138
title: SuperDARN data in netCDF format (2018-Jul)

description: 2018-Jul SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.25345/c51n7xn6m
title: MassIVE Reanalysis RMSV000000354.4408 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, DDX19A [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/c5ww77111
title: MassIVE Reanalysis RMSV000000354.4409 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CES3 [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/c5s46h682
title: MassIVE Reanalysis RMSV000000354.4406 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, E2F6 [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/c5ng4gs77
title: MassIVE Reanalysis RMSV000000354.4410 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, TCP10L [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: 10.5519/qd.ip0x2h02
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.25345/c5hq3s040
title: MassIVE Reanalysis RMSV000000354.4407 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, KBTBD4 [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/c5cz32594
title: MassIVE Reanalysis RMSV000000354.4411 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, IL17RB [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: 10.5517/ccdc.csd.cc27fhjq
title: CCDC 2068553: Experimental Crystal Structure Determination

description: Related Article: Hui Min Tay, Carol Hua|2021|Aust.J.Chem.|75|94|doi:10.1071/CH21066
DOI: 10.5517/ccdc.csd.cc27fhls
title: CCDC 2068555: Experimental Crystal Structure Determination

description: Related Article: Hui Min Tay, Carol Hua|2021|Aust.J.Chem.|75|94|doi:10.1071/CH21066
DOI: 10.5517/ccdc.csd.cc27fhmt
title: CCDC 2068556: Experimental Crystal Structure Determination

description: Related Article: Hui Min Tay, Carol Hua|2021|Aust.J.Chem.|75|94|doi:10.1071/CH21066
DOI: 10.5517/ccdc.csd.cc27fhkr
title: CCDC 2068554: Experimental Crystal Structure Determination

description: Related Article: Hui Min Tay, Carol Hua|2021|Aust.J.Chem.|75|94|doi:10.1071/CH21066
DOI: 10.5517/ccdc.csd.cc27hk7k
title: CCDC 2070528: Experimental Crystal Structure Determination

description: Related Article: Michael A. Stevens, Peter D. Hall, Annie L. Colebatch|2021|Aust.J.Chem.|75|135|doi:10.1071/CH21129
DOI: 10.5517/ccdc.csd.cc27hk8l
title: CCDC 2070529: Experimental Crystal Structure Determination

description: Related Article: Michael A. Stevens, Peter D. Hall, Annie L. Colebatch|2021|Aust.J.Chem.|75|135|doi:10.1071/CH21129
DOI: 10.5517/ccdc.csd.cc27hkcp
title: CCDC 2070532: Experimental Crystal Structure Determination

description: Related Article: Michael A. Stevens, Peter D. Hall, Annie L. Colebatch|2021|Aust.J.Chem.|75|135|doi:10.1071/CH21129
DOI: 10.5517/ccdc.csd.cc27hk9m
title: CCDC 2070530: Experimental Crystal Structure Determination

description: Related Article: Michael A. Stevens, Peter D. Hall, Annie L. Colebatch|2021|Aust.J.Chem.|75|135|doi:10.1071/CH21129
DOI: 10.5517/ccdc.csd.cc27hkbn
title: CCDC 2070531: Experimental Crystal Structure Determination

description: Related Article: Michael A. Stevens, Peter D. Hall, Annie L. Colebatch|2021|Aust.J.Chem.|75|135|doi:10.1071/CH21129
DOI: 10.5517/ccdc.csd.cc27pb6h
title: CCDC 2076076: Experimental Crystal Structure Determination

description: Related Article: Michael A. Stevens, Peter D. Hall, Annie L. Colebatch|2021|Aust.J.Chem.|75|135|doi:10.1071/CH21129
DOI: 10.25345/c5862bc59
title: MassIVE Reanalysis RMSV000000354.4412 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, DDX55 [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/c54f1mk15
title: MassIVE Reanalysis RMSV000000354.4413 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SLC25A31 [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/c50p0wr7d
title: MassIVE Reanalysis RMSV000000354.4414 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, EPB41L2 [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/c5vx0642t
title: MassIVE Reanalysis RMSV000000354.4415 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CAB39L [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/c5r785q1r
title: MassIVE Reanalysis RMSV000000354.4416 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CYP1A1 [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/c5mg7fw8g
title: MassIVE Reanalysis RMSV000000354.4417 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, STX19 [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.19214334.v1
title: RawDataOrOr_Moyeretal2022_SongRate_AcousticAnalysis.xlsx

description: Raw song and rate data from male and female Orchard Orioles. Acoustic measurements from 3 songs per individual and 1 rate calculation per individual.
DOI: 10.6084/m9.figshare.19214334
title: RawDataOrOr_Moyeretal2022_SongRate_AcousticAnalysis.xlsx

description: Raw song and rate data from male and female Orchard Orioles. Acoustic measurements from 3 songs per individual and 1 rate calculation per individual.
DOI: 10.25345/c5gq6r338
title: MassIVE Reanalysis RMSV000000354.4418 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CYB5D2 [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/c5bz6189w
title: MassIVE Reanalysis RMSV000000354.4419 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, WDR92 [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: 10.25422/azu.data.19067576
title: Archived Extended Spring Indices Average and Anomaly Products (1981-2010 climate normal)

description: The Extended Spring Indices are mathematical models that predict the "start of spring" (timing of leaf out or bloom for species active in early spring) at a particular location. The USA National Phenology Network (USA-NPN) hosts a suite of gridded Extended Spring Indices products. In 2022, the USA NPN updated all long-term average and anomaly products in this suite to use the more recent climate normal period (1991-2020).<br>This record contains the archived layers that use the prior normal (1981-2010). The data consists of geotiff rasters with leaf out and bloom dates. The "average" files give leaf and bloom dates as day of year, averaged for the period 1981-2010. The "anomaly" files show for each year 1981-2021, the difference between that year's leaf out or bloom date and the long term average. <br>The products using updated normals can be accessed here: Extended Spring Indices, Continental United States, 1981 - Current Year<br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.25422/azu.data.19067576.v1
title: Archived Extended Spring Indices Average and Anomaly Products (1981-2010 climate normal)

description: The Extended Spring Indices are mathematical models that predict the "start of spring" (timing of leaf out or bloom for species active in early spring) at a particular location. The USA National Phenology Network (USA-NPN) hosts a suite of gridded Extended Spring Indices products. In 2022, the USA NPN updated all long-term average and anomaly products in this suite to use the more recent climate normal period (1991-2020).<br>This record contains the archived layers that use the prior normal (1981-2010). The data consists of geotiff rasters with leaf out and bloom dates. The "average" files give leaf and bloom dates as day of year, averaged for the period 1981-2010. The "anomaly" files show for each year 1981-2021, the difference between that year's leaf out or bloom date and the long term average. <br>The products using updated normals can be accessed here: Extended Spring Indices, Continental United States, 1981 - Current Year<br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.25345/c57659g52
title: MassIVE Reanalysis RMSV000000354.4420 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, C20orf85 [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: 10.17903/fk2/ctmut1
title: Βαθμός συμπάθειας και επιρροής των θεσμών της ελληνικής κοινωνίας. Δεδομένα από τις έρευνες Πολιτικών Προτύπων και Πολιτικής Συμπεριφοράς, την Ευρωπαϊκή Κοινωνική Έρευνα, την έρευνα Θαλής και τις έρευνες της διαΝΕΟσις.

description: Περιλαμβάνονται πινακοποιημένα δεδομένα σε μορφή κύβων σε σχέση τις απόψεις των πολιτών για τα όργανα της Ε.Ε./Ε.Ο.Κ. και την Ευρώπη. Τα δεδομένα προέρχονται από τον 1ο, 2ο, 3ο και 4ο γύρο της Ευρωπαϊκής Κοινωνικής Έρευνα μεταξύ των ετών 2002 και 2010, τις έρευνες Πολιτικών Προτύπων και Πολιτικής Συμπεριφοράς του ΕΚΚΕ μεταξύ των ετών 1988 και 2004, την έρευνα "Τι πιστεύουν οι Έλληνες" της διαΝΕΟσις για το 2016 .
DOI: 10.25398/rd.northumbria.19209678.v1
title: Data from photoluminescence spectroscopy, admittance spectroscopy, photoelectron emission microscopy, current-voltage characteristics, and spectral response of quantum efficiency measurements on Cu2ZnZnSnS4 (CZTS) films and solar cells as a function of antimony and sodium doping.

description: This is the dataset used in the journal article to be published in American Chemical Society's Applied Energy Materials. Article Title: Mapping the Energetics of Defect States in Cu2ZnSnS4 films and the Impact of Sb DopingAuthors: Devendra Tiwari, Michael V. Yakushev, Tristan Koehler, Mattia Cattelan, Neil Fox, Robert W. Martin, Reiner Klenk and David J FerminDOI: https://10.1021/acsaem.1c03729 The dataset was produced in collaboration with colleagues from University of Bristol, Strathclyde University and Helmholtz Zentrum Berlin. <br>The dataset contains .csv files and can be accessed can be using any text editor or any spreadsheet software.
DOI: 10.25398/rd.northumbria.19209678
title: Data from photoluminescence spectroscopy, admittance spectroscopy, photoelectron emission microscopy, current-voltage characteristics, and spectral response of quantum efficiency measurements on Cu2ZnZnSnS4 (CZTS) films and solar cells as a function of antimony and sodium doping.

description: This is the dataset used in the journal article to be published in American Chemical Society's Applied Energy Materials. Article Title: Mapping the Energetics of Defect States in Cu2ZnSnS4 films and the Impact of Sb DopingAuthors: Devendra Tiwari, Michael V. Yakushev, Tristan Koehler, Mattia Cattelan, Neil Fox, Robert W. Martin, Reiner Klenk and David J FerminDOI: https://10.1021/acsaem.1c03729 The dataset was produced in collaboration with colleagues from University of Bristol, Strathclyde University and Helmholtz Zentrum Berlin. <br>The dataset contains .csv files and can be accessed can be using any text editor or any spreadsheet software.
DOI: 10.25345/c53f4kp1x
title: MassIVE Reanalysis RMSV000000354.4422 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, RETN [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.