cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc297jfj
title: CCDC 2122397: Experimental Crystal Structure Determination

description: Related Article: meng yinggao|2021|CSD Communication|||
description: Related Article: Yinggao Meng, Qian Wang, Xinyu Yao, Donghui Wei, Ying-Guo Liu, Er-Qing Li, Zheng Duan|2022|Org.Lett.|24|9205|doi:10.1021/acs.orglett.2c03706
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25914/6198463da4f22
title: The Bureau of Meteorology's National Hydrological Projection data collection on changes to Australia's hydrological water balance
DOI: 10.25914/61984641acb87
title: Climate forcing data from 4 CMIP5, bias-corrected GCMs and 1regional climate model (CCAM) used to run the Bureau's operational hydrological model AWRA-L
DOI: 10.25914/61984646401d2
title: Hydrological output variables produced from the Bureau's operational hydrological models that was produced by running climate forcing data from 4 CMIP5, bias-corrected GCMs and 1regional climate model (CCAM)
DOI: 10.25914/6198bca2117ce
title: BARRA-AD Product
DOI: 10.25914/6198bca60d7ad
title: BARRA-PH Product
DOI: 10.25914/6198bca9f2de8
title: BARRA-SY Product
DOI: 10.25914/6198bcae1b205
title: BARRA-TA Product
DOI: 10.25914/6198bcb35c1c9
title: BARRA-R Product
DOI: 10.25914/61a609a5ba948
title: Himawari 8/9 Full Disk Observations - Near Real-Time (NRT) data stream
DOI: 10.25914/61a609aa1434d
title: Himawari 8/9 Full Disk Observations - Archive (ARC) data stream
DOI: 10.25914/61a609adf0f7e
title: Himawari 8/9 Region 03 Observations - Archive (ARC) data stream
DOI: 10.25914/61a609b17ca31
title: Himawari 8/9 Region 03 Observations - Near Real-Time (NRT) data stream
DOI: 10.25914/y5hw-jw93
title: PATMOS-x AVHRR monthly cloud physical and microphysical parameters over the Australian region between 1979 and 2018 v1.0

description: This collection contains 40 years (1979 – 2018) of monthly-averaged observations of cloud physical and microphysical properties over the Australian region extracted from the extensive PATMOS-x AVHRR database. These Level 3 files cover the continent of Australia (plus Tasmania), a spatial extent between 5° S and 45° S and 105° E and 160° E, at a spatial resolution of 0.1°. The monthly files separately summarise observations recorded at four different times of the day; early morning (EM), mid-morning (AM), mid-afternoon (PM) and early evening (EV). Additional information documenting this satellite data collection and its contents can be found in the PDF listed below as related information. Acknowledgements We thank Andrew Heidinger from NOAA along with Michael Foster, Charles White and Paul Menzel from the Space Science and Engineering Center, University of Wisconsin (Madison) for their valuable advice and efforts towards extracting this Australian region from the global PATMOS-x AVHRR database. This work was supported by the Western Australian Marine Science Institution (WAMSI) – as part of the WASTAC Small Grants program.
DOI: 10.25914/2ja8-4d62
title: Bureau of Meteorology Reprocessed Sea Surface Temperature (SST) Products

description: The Bureau of Meteorology (BoM) produces operational Integrated Marine Observing System (IMOS) satellite SST products in the International Group for High Resolution SST (GHRSST: www.ghrsst.org) "GDS2.0" file formats. The products provided range from single swath (or scene) SST data from polar-orbiting or geostationary satellites, all the way through to high level processed data incorporating data from multiple satellite sensors, and include ancillary input from a variety of other sources(e.g., surface wind speeds, sea ice concentration, and previous SST analysis data). Several satellites provide Sea Surface Temperature (SST) data. BoM produces reprocessed SST products using infrared data from Geostationary Himawari-8 and polar orbiters, NOAA-11,12,14,15,16,17,18,19,20, MetOp-A, MetOp-B, MetOp-C and Suomi-NPP VIIRS. These SST products are available over two different domains, IMOS continental domain (70E to 190E, 70S to 20N) and Southern Ocean domain (2.5E to 202.5E, 77.5S to 27.5S) on the IMOS 0.02o x 0.02o grid. For each sensor, following products may be available: L2P (geolocated, native resolution of sensor, one sub-directory per sensor. L3U (swath, gridded, single sensor), one sub-directory per sensor. L3C (multiple swath, gridded, single sensor), available for different time periods:1 day day-time only and night-time only, 1 hour data and 4 hour data, one sub-directory per sensor. L3S (multiple sensor, gridded), available for different time periods: 1 day, 3 days, 6 days, 14 days and 1 month for daytime only, night-time only and day and night (24 hour) scenarios. These SST products are used as input for applications such as IMOS OceanCurrent, and the BoM ReefTemp Next Generation coral bleaching nowcasting service, and provide useful insight into the study of marine heatwaves and ocean upwelling in near-coastal regions. Products in the fv02(reprocessed) data stream have been gap-filled and processed on Gadi, using the highest quality input data available. Reprocessing is typically done using improved algorithms and methods and additional input data that became available in delayed mode. Gap filling and (re)processing occurs to ensure the data is of the highest quality and to enhance data coverage.
DOI: 10.5281/zenodo.7494064
title: Emergent chirality in a polar meron to skyrmion phase transition

description: The 4D-STEM dataset of polar skyrmions along with a python notebook for simple analysis and plotting.
DOI: 10.25914/f4bf-y347
title: Bureau of Meteorology Real Time Sea Surface Temperature (SST) Products

description: The Bureau of Meteorology (BoM) produces operational Integrated Marine Observing System (IMOS) satellite SST products in the International Group for High Resolution SST (GHRSST: www.ghrsst.org) "GDS2.0" file formats. The products provided range from single swath (or scene) SST data from polar-orbiting or geostationary satellites, all the way through to high level processed data incorporating data from multiple satellite sensors, and include ancillary input from a variety of other sources(e.g., surface wind speeds, sea ice concentration, and previous SST analysis data). Several satellites provide Sea Surface Temperature (SST) data. Currently,BoM produces operational SST products using infrared data from Geostationary Himawari-8 and polar orbiters, NOAA-18, MetOp-B, Suomi-NPP VIIRS and NOAA-20. These SST products are available over two different domains, IMOS continental domain (70E to 190E, 70S to 20N) and Southern Ocean domain (2.5E to 202.5E, 77.5S to 27.5S) on the IMOS 0.02o x 0.02o grid. For each sensor, following products may be available: L2P (geolocated, native resolution of sensor, one sub-directory per sensor. L3U (swath, gridded, single sensor), one sub-directory per sensor. L3C (multiple swath, gridded, single sensor), available for different time periods:1 day day-time only and night-time only, 1 hour data and 4 hour data, one sub-directory per sensor. L3S (multiple sensor, gridded), available for different time periods: 1 day, 3 days, 6 days, 14 days and 1 month for daytime only, night-time only and day and night (24 hour) scenarios. The operational SST products are used as input for applications such as IMOS OceanCurrent, and the BoM ReefTemp Next Generation coral bleaching nowcasting service, and provide useful insight into the study of marine heatwaves and ocean upwelling in near-coastal regions.
DOI: 10.25914/cc2y-6834
title: Bureau of Meteorology MTSAT-1R Sea Surface Temperature (SST) Product

description: The Bureau of Meteorology (BoM) produces operational Integrated Marine Observing System (IMOS) satellite SST products in the International Group for High Resolution SST (GHRSST: www.ghrsst.org) "GDS2.0" file formats. This data stream contains the reprocessed archive quality SST products derived from MTSAT-1R JAMI sensor data using the BoM IMOS processing systems. Following SST products are available: v02.0 - Original legacy hourly, single scene, gridded ("L3U") for 2006 - 2010, available over the domain 70E to 150W, 70S to 70N. v03.0 - Hourly , single scene, gridded ("L3U") composites produced for GHRSST Tropical Warm Pool (TWP+) Project for January - April 2010, tuned for accuracy over the Tropical Warm Pool domain (90E to 170E, 25S to 15N).
DOI: 10.6084/m9.figshare.21804093.v1
title: PtyLab zPIE test data

description: Loetgering, Lars, et al. "zPIE: an autofocusing algorithm for ptychography." <em>Optics letters</em> 45.7 (2020): 2030-2033.
DOI: 10.6084/m9.figshare.21804093
title: PtyLab zPIE test data

description: Loetgering, Lars, et al. "zPIE: an autofocusing algorithm for ptychography." <em>Optics letters</em> 45.7 (2020): 2030-2033.
DOI: 10.5281/zenodo.7500064
title: MAUD v1

description: Merger Agreement Understanding Dataset (MAUD) v1 is a corpus of 47,000+ labels in 152 merger agreements that have been manually labeled under the supervision of experienced lawyers to identify 92 questions in each agreement used by the 2021 American Bar Association (ABA) Public Target Deal Points Study. MAUD is curated and maintained by The Atticus Project, Inc. to support NLP research and development in legal contract review. ReadMe and Datasheet are published here. Code for replicating the results, together with the model trained on CUAD, is published on Github here.
DOI: 10.5281/zenodo.7500063
title: MAUD v1

description: Merger Agreement Understanding Dataset (MAUD) v1 is a corpus of 47,000+ labels in 152 merger agreements that have been manually labeled under the supervision of experienced lawyers to identify 92 questions in each agreement used by the 2021 American Bar Association (ABA) Public Target Deal Points Study. MAUD is curated and maintained by The Atticus Project, Inc. to support NLP research and development in legal contract review. ReadMe and Datasheet are published here. Code for replicating the results, together with the model trained on CUAD, is published on Github here.
DOI: 10.25345/c5057cw3j
title: MassIVE Reanalysis RMSV000000584.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000079514/PXD000561 [33 out of 41], Pancreas [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/c5vd6p78z
title: MassIVE Reanalysis RMSV000000585.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000078985/PXD001651 [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/c5qn5zf6s
title: MassIVE Reanalysis RMSV000000586.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000079526/PXD000865 [18 out of 46], Tonsil [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/c5m03z13q
title: MassIVE Reanalysis RMSV000000589.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000083968 Chr16-HPP.Pilot experiment.JPR HPP Special issue [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/c5g73770f
title: MassIVE Reanalysis RMSV000000587.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000086390 Human naive T-cell secretome, activated and non-activated [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/c5bg2hd75
title: MassIVE Reanalysis RMSV000000588.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000088408 Quantitative PTM Maps of Human Pathologic Tau Identify Patient Heterogeneity and Define Critical Steps in Alzheimers Disease Progression - MC1-isolated Tau [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/c56q1sm2j
title: MassIVE Reanalysis RMSV000000591.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080280/PXD001725 [1 out of 1] (One file disappeared from ccms_peak compared to 45cf22a1c2d44d7f93b4cbf1ae7b662b) [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/c52z12s85
title: MassIVE Reanalysis RMSV000000590.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000088387 Human oocyte proteome and secretome, secretome files [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: 10.34740/kaggle/dsv/3326198
title: US counties COVID 19 dataset
DOI: 10.25345/c5z60c53h
title: MassIVE Reanalysis RMSV000000594.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000083971 Proteome analysis of the MO3.13 cell line from human oligodendrocytes [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/c5td9nc09
title: MassIVE Reanalysis RMSV000000592.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000083508 29 tissues, endometrium_uterine_endometrium Trypsin_HCD_QExactiveplus [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/c5k06x43g
title: MassIVE Reanalysis RMSV000000595.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080266/PXD003478 [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/c5pr7mx6d
title: MassIVE Reanalysis RMSV000000593.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000083966 Chr16-HPP. Shotgun Analysis improvement. JPR HPP Special issue 2013. Jurkat 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/c5f766b06
title: MassIVE Reanalysis RMSV000000596.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000079590 Proteome analyses of the human anterior temporal lobe [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/c59g5gh5z
title: MassIVE Reanalysis RMSV000000599.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000083951 TAILS N-terminomics of the human dental pulp stroma and the odontoblast layer. trypsin, fixed Lys dimethyl and optional N-term dimethyl, 2 ptms/peptide [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/c55q4rq1t
title: MassIVE Reanalysis RMSV000000600.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000083969 Lung cancer and Normal Lung 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/c51z41w8x
title: MassIVE Reanalysis RMSV000000602.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000086389 Synaptosomal proteome from schizophrenia patients [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/c5sj19v2f
title: MassIVE Reanalysis RMSV000000601.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000083965 Deep Dive in the Proteome of Human Cerebrospinal Fluid: A Valuable Data Resource for Biomarker Discovery and Missing Protein Identification. TMT6, isobaric tag selected [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.