cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5mp4vp2s
title: MassIVE Reanalysis RMSV000000354.4560 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, NELL2 [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.19216959
title: Data Set from Deep-Learning-Based Prediction of Nanoparticle Phase Transitions During In Situ Transmission Electron Microscopy

description: In-situ high-resolution transmission electron microscopy (TEM) data from heating-induced phase transitions of single layer, and 2 and 4 nm-sized Au nanoparticles.
DOI: 10.6084/m9.figshare.19216959.v1
title: Data Set from Deep-Learning-Based Prediction of Nanoparticle Phase Transitions During In Situ Transmission Electron Microscopy

description: In-situ high-resolution transmission electron microscopy (TEM) data from heating-induced phase transitions of single layer, and 2 and 4 nm-sized Au nanoparticles.
DOI: 10.25345/c5gx44v8d
title: MassIVE Reanalysis RMSV000000354.4565 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, RPL18 [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.19210287
title: Dataset - Fingerprinting Complex Atomic Environments: Learning Local Segregation Energy Behavior at Grain Boundaries

description: Dataset for reference with article "Fingerprinting Complex Atomic Environments: Learning Local Segregation Energy Behavior at Grain Boundaries". Dataset contains files for ML training and evaluation of Ni-P segregation energy from bicrystalline, amorphous, and polycrystalline simulations as outlined in the article.
DOI: 10.5281/zenodo.6099311
title: Segmentation Zoo Res-UNet models for Landsat-8 satellite imagery, Coast Train v1 Landsat-8 4-class subset.

description: <strong>Doodleverse/Segmentation Zoo models for Landsat-8 satellite imagery, Coast Train v1 Landsat-8 4-class subset.</strong> These model data are based on the Coast Train v1 Landsat-8 labeled imagery subset. Models have been fitted to 4 different types of data 1. NDWI (1 band): (g-nir)/(g+nir) 2. MNDWI (1 band): (swir-g)/(swir+g) 3. RGB (3 band): red, green, blue 4. RGB-NIR-SWIR (5 band): red, green, blue, nir, swir Classes are: {0: water, 1: whitewater, 2:sediment, 3:other}. These classes have been remapped from the original 11 classes<br> These files are used in conjunction with Segmentation Zoo* For each model, there are 3 files: 1. config file: this is the file that was used by Segmentation Gym** to create the weights file. It contains instructions for how to make the model and the data it used, as well as instructions for how to use the model for prediction. It is a handy wee thing and mastering it means mastering the entire Doodleverse. 2. weights file: this is the file that was created by the Segmentation Gym** function `train_model.py`. It contains the trained model's parameter weights. It can called by the Segmentation Gym** function `seg_images_in_folder.py` or the Segmentation Zoo* function `select_model_and_batch_process_folder.py` to segment a folder of images 3. model card file: this is a json file containing the following fields that collectively describe the model origins, training choices, and dataset that the model is based upon. There is some redundancy between this file and the `config` file (described above) that contains the instructions for the model training and implementation. The model card file is not used by the program but is important metadata References * https://github.com/Doodleverse/segmentation_zoo ** https://github.com/Doodleverse/segmentation_gym
DOI: 10.25345/c5c53f25g
title: MassIVE Reanalysis RMSV000000354.4567 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SFXN2 [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/c57d2q82t
title: MassIVE Reanalysis RMSV000000354.4568 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MACROD1 [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.16910800
title: Geochemical characterisation of offshore New Zealand phosphorites, and mechanisms for their formation [Research Data]

description: Major and trace element data of phosphorite nodules from offshore New Zealand deposits. <br>Measured using X-ray fluorescence and Inductively Coupled Plasma Mass Spectrometry. <br>CC BY-NC (Attribution-NonCommercial)<br><br>References:<br>Frontin-Rollet GE, Handler MR, Wysoczanski RJ, Gazley MF, Hickey CW. 2022. Geochemical characterisation of offshore New Zealand phosphorites, and mechanisms for their formation. Marine Geology. 445:106751.<br>Frontin-Rollet. 2017. The Geochemistry and Ecotoxicity of Offshore New Zealand Phosphorites [MSc Thesis] Victoria University of Wellington.<br>
DOI: 10.25345/c53r0pv10
title: MassIVE Reanalysis RMSV000000354.4569 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ACD [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/c5000016v
title: MassIVE Reanalysis RMSV000000354.4570 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, STX3 [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/c5v698d0f
title: MassIVE Reanalysis RMSV000000354.4572 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, RASSF6 [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.19217013
title: parents-face-masc

description: '01_clean_transf_data.csv' contains data points used for comparing facial distances and masculinity scores (scores transformed where appropriate) between parents of autistic and non-autistic children. <br><br>'02_clean_data.csv' contains data points of untransformed values used for producing Figure 3 in the manuscript. <br>
DOI: 10.25345/c5qf8jk6p
title: MassIVE Reanalysis RMSV000000354.4571 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, FAM19A1 [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: 10.17909/ekt0-mf55
title: Data for Rutala et al. 2022

description: Long-term HST monitoring of Jupiter's UV aurorae.
DOI: 10.25919/j9kq-gh25
title: RV Investigator Voyage IN2021_E01 End of Voyage (EOV) Archive

description: This record describes the End of Voyage (EOV) data archive from the Marine National Facility (MNF) RV Investigator voyage IN2021_E01, titled "Equipment Calibrations and Science Trials." The voyage took place between November 10 and November 14, 2021 (AEST), departing from Hobart (TAS) and returning to Hobart. For further information please refer to the voyage documentation links. Instruments used and data collected include: Regular measurements: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), Greenhouse Gas Analysers (Picarro), Disdrometer, Gravimeter, Multibeam Echosounder (EM710, EM122), Sub-bottom Profiler (SBP120), GPS Positioning System, Doppler Velocity Log, Thermosalinographs (TSG), Fluorometer, Oxygen Optode, pCO2, Ozone Sensor, Atmospheric Temperature, Humidity, Pressure, Wind and Rain sensors, Photosynthetically Active Radiation (PAR) sensor, Precision Infrared Radiometer (PIR), Precision Spectral Pyranometer (PSP), Starboard and Portside Radiometers, Air Sampler, Weather Radar, Expendable Bathythermographs (XBTs). Voyage-specific measurements: Autonomous Surface Vehicle CO2 sensor (ASVCO2), Box corer. The archive for the IN2021_E01 EOV raw data is curated by the CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to voyage participants and processors of the data collected on the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via NCMI_DataLibrarians@csiro.au.
DOI: 10.25345/c5kp7ts2j
title: MassIVE Reanalysis RMSV000000354.4575 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CLIC5 [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/e0nztt
title: Απόψεις σχετικές με την Τοπική Αυτοδιοίκηση. Δεδομένα από τις έρευνες Πολιτικών Προτύπων και Πολιτικής Συμπεριφοράς για τα έτη 1988 και 1989.

description: Περιλαμβάνονται πινακοποιημένα δεδομένα σε μορφή κύβων σε σχέση με τις απόψεις των πολιτών για την Τοπική Αυτοδιοίκηση. Τα δεδομένα προέρχονται από τις έρευνες Πολιτικών Προτύπων και Πολιτικής Συμπεριφοράς του ΕΚΚΕ μεταξύ των ετών 1988 και 1989.
DOI: 10.25345/c5fx73z9n
title: MassIVE Reanalysis RMSV000000354.4574 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CIDEB [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/c5b56d56q
title: MassIVE Reanalysis RMSV000000354.4577 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, TCEA2 [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/hg2y-j513
title: RV Investigator Voyage IN2020_V06 End of Voyage (EOV) Archive

description: This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage IN2020_V06, titled "Probing the Australian-Pacific Plate Boundary: Macquarie Ridge in 3-D." The voyage took place from Hobart (TAS) to Hobart between October 8 and November 3, 2020 (AEST). For further information please refer to the voyage documentation links below. Instruments used and data collected include: Regular measurements: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), Greenhouse Gas Analysers (Aerodyne, Picarro), Cloud Condensation Nuclei counter (CCN), Condensation Particle Counters (CPC), Disdrometer, Radon and Ozone sensors, Scanning Mobility Particle Sizers (SMPS), Fisheries echosounder (EK60), Multibeam Echosounder (EM710, EM122), Sub-bottom Profiler (SBP120), GPS Positioning System, Doppler Velocity Log, Thermosalinographs (TSG), Fluorometer, Oxygen optode, Infrared Sea Surface Temperature Autonomous Radiometer (ISAR), pCO2, Gravimeter, Multiangle Absorption Photometer (MAAP), Nephelometer, Atmospheric Temperature, Humidity, Pressure, Wind and Rain sensors, Photosynthetically Active Radiation (PAR) sensor, Precision Infrared Radiometer (PIR), Precision Spectral Pyranometer (PSP), Starboard and Portside Radiometers, Ultra Short BaseLine Underwater Positioning System (USBL), Weather Radar, Expendable Bathythermographs (XBTs). Voyage-specific measurements: Magnetometer, Ocean Bottom Seismometers (OBS). The archive for the IN2020_V06 EOV raw data is curated by the CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via NCMI_DataLibrarians@csiro.au.
DOI: 10.6073/pasta/6924392a76cb226ca27f50c05c55fa23
title: A survey of scorpion (Scorpiones) populations along an urbanization gradient in the greater Phoenix metropolitan area, Arizona, USA (summer 2019)

description: The goal of this research project was to evaluate how scorpion populations responded to the gradient of urbanization. We conducted 50 night-time walking transects across the gradient of urbanization from downtown Phoenix to nearby wildland areas during Summer 2019. We commonly documented three scorpion species. Data present whether a species was detected at a site during this time period.
DOI: 10.3886/e163221
title: Does cabinet instability matter? Understanding the legislative production of Brazilian ministries

description: Data and routines in STATA for replication of the article: FELIÚ RIBEIRO, PEDRO; POIATTI, N. D. . Does cabinet instability matter? Understanding the legislative production of Brazilian ministries. RAP. BRAZILIAN JOURNAL OF PUBLIC ADMINISTRATION, Rio de Janeiro 56(1): 1-22, Jan. - Feb. 2022 - ISSN: 1982-31344
DOI: 10.3886/e163221v1
title: Does cabinet instability matter? Understanding the legislative production of Brazilian ministries

description: Data and routines in STATA for replication of the article: FELIÚ RIBEIRO, PEDRO; POIATTI, N. D. . Does cabinet instability matter? Understanding the legislative production of Brazilian ministries. RAP. BRAZILIAN JOURNAL OF PUBLIC ADMINISTRATION, Rio de Janeiro 56(1): 1-22, Jan. - Feb. 2022 - ISSN: 1982-31344
DOI: 10.25345/c56h4cr4d
title: MassIVE Reanalysis RMSV000000354.4579 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, HOXC4 [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/c52r3nz08
title: MassIVE Reanalysis RMSV000000354.4580 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, AIFM3 [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/c5z02z94h
title: MassIVE Reanalysis RMSV000000354.4576 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SMPD3 [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/c5t727h0r
title: MassIVE Reanalysis RMSV000000354.4581 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MTHFD2 [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/c5pg1hp60
title: MassIVE Reanalysis RMSV000000354.4573 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ALPI [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/c5jq0sw3b
title: MassIVE Reanalysis RMSV000000354.4584 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, POMC [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.