cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc25g6mh
title: CCDC 2009656: Experimental Crystal Structure Determination

description: Related Article: Yen-Fu Liu, Ji-Hong Hu, Wei-Te Lee, Xiang-Kai Yang, Jhy-Der Chen|2020|Cryst.Growth Des.|20|7211|doi:10.1021/acs.cgd.0c00878
DOI: 10.5517/ccdc.csd.cc243w05
title: CCDC 1969926: Experimental Crystal Structure Determination

description: Related Article: Xun Pan, Xiao-Nan Kuang, Ning Zhu, Guo Wang, Yu-Ping Yang, Jian-Ming Liu, Zhong-Feng Li, Xiu-Lan Xin, Hong-Liang Han, Qiong-Hua Jin, Zhi-Gang Ren, Jiang-Wei Zhang|2020|Dalton Trans.|49|14941|doi:10.1039/D0DT02542A
DOI: 10.5517/ccdc.csd.cc243vz3
title: CCDC 1969925: Experimental Crystal Structure Determination

description: Related Article: Xun Pan, Xiao-Nan Kuang, Ning Zhu, Guo Wang, Yu-Ping Yang, Jian-Ming Liu, Zhong-Feng Li, Xiu-Lan Xin, Hong-Liang Han, Qiong-Hua Jin, Zhi-Gang Ren, Jiang-Wei Zhang|2020|Dalton Trans.|49|14941|doi:10.1039/D0DT02542A
DOI: 10.5517/ccdc.csd.cc243w16
title: CCDC 1969927: Experimental Crystal Structure Determination

description: Related Article: Xun Pan, Xiao-Nan Kuang, Ning Zhu, Guo Wang, Yu-Ping Yang, Jian-Ming Liu, Zhong-Feng Li, Xiu-Lan Xin, Hong-Liang Han, Qiong-Hua Jin, Zhi-Gang Ren, Jiang-Wei Zhang|2020|Dalton Trans.|49|14941|doi:10.1039/D0DT02542A
DOI: 10.5517/ccdc.csd.cc260xsy
title: CCDC 2026680: Experimental Crystal Structure Determination

description: Related Article: Xun Pan, Xiao-Nan Kuang, Ning Zhu, Guo Wang, Yu-Ping Yang, Jian-Ming Liu, Zhong-Feng Li, Xiu-Lan Xin, Hong-Liang Han, Qiong-Hua Jin, Zhi-Gang Ren, Jiang-Wei Zhang|2020|Dalton Trans.|49|14941|doi:10.1039/D0DT02542A
DOI: 10.6084/m9.figshare.13234544
title: Dataset

description: This is dataset for paper Does physical activity lower the risk for metabolic syndrome: a longitudinal study of physically active elderly women. <br>
DOI: 10.5281/zenodo.4267824
title: Appendix: Data Analysis and Machine Learning Experiments

description: The plots and statistics generated for the data analysis are given in this data set.<br> Furthermore, this data set contains the models, feature sets, scaler, prediction results and visualizations for the machine learning experiments conducted. Reproduction Experiment Multiple Commit Thresholds Experiment Imbalanced Training Experiment
DOI: 10.5281/zenodo.4267823
title: Appendix: Data Analysis and Machine Learning Experiments

description: The plots and statistics generated for the data analysis are given in this data set.<br> Furthermore, this data set contains the models, feature sets, scaler, prediction results and visualizations for the machine learning experiments conducted. Reproduction Experiment Multiple Commit Thresholds Experiment Imbalanced Training Experiment
DOI: 10.25919/h3vy-y654
title: RV Investigator Voyage IN2019_E01 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 IN2019_E01, titled "Post-Dry Dock Calibration Trials." The voyage took place from Singapore (SG) to Cairns (QLD) between July 20 and August 2, 2019. 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 ), Cloud Condensation Nuclei counter (CCN), Condensation Particle Counters (CPC), Greenhouse Gas Analysers (Picarro), Radon, Ozone and Oxygen sensors, Scanning Mobility Particle Sizers (SMPS), CTD, Hydrochemistry, Gravimeter, pCO2, Fisheries echosounder (EK60), Multibeam Echosounder (EM710, EM122), Sub-bottom Profiler (SBP120), GPS Positioning System, Doppler Velocity Log, Fluorometer, Oxygen optode, Thermosalinographs (TSG), Multiangle Absorption Photometer (MAAP), Nephelometer, Temperature, Humidity, Pressure, Wind and Rain sensors, Photosynthetically Active Radiation (PAR) sensor, Precision Infrared Radiometer (PIR), Precision Spectral Pyranometer (PSP), Starboard and Portside Radiometers, Expendable Bathythermographs (XBTs). Voyage-specific measurements: Seismic. The archive for the IN2019_E01 EOV raw data is curated by the CSIRO Oceans and Atmosphere (O&A) 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 DataLibrariansOAMNF@csiro.au.
DOI: 10.25919/c02s-he83
title: Parkes observations for project PX501 semester 2020APRS_10

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX500) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first (PX500) will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time (relating to this proposal) will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.5281/zenodo.4265094
title: Evolutionary computing and machine learning for the discovering of low-energy defect configurations

description: The archive "dataset.tar.gz" contains the structures obtained and reported in the study:<br> "Evolutionary computing and machine learning for the discovering of low-energy defect configurations". Read the README file for detailed information about the archive content and how to read the hdf5 files.
DOI: 10.5281/zenodo.4265093
title: Evolutionary computing and machine learning for the discovering of low-energy defect configurations

description: The archive "dataset.tar.gz" contains the structures obtained and reported in the study:<br> "Evolutionary computing and machine learning for the discovering of low-energy defect configurations". Read the README file for detailed information about the archive content and how to read the hdf5 files.
DOI: 10.5258/soton/d1269
title: Code and Input Data for: Financial and Environmental Life Cycle Assessment of Domestic PV-Battery Systems in Great Britain, including Second-life Batteries

description: Dataset supporting the thesis 'Financial and Environmental Life Cycle Assessment of Domestic PV-Battery Systems in Great Britain, including Second-life Batteries'.
DOI: 10.5258/soton/d1637
title: Dataset for article "UV Induced Resistive Switching in Hybrid Polymer Metal Oxide Memristors"

description: Dataset supports the article 'UV Induced Resistive Switching in Hybrid Polymer Metal Oxide Memristors' published in Scientific Reports.
DOI: 10.6084/m9.figshare.13234538
title: A Dataset for Comprehensive Study of Regular Expression Bugs

description: This dataset describes the 350 merged pull requests in terms of bug classification, regex changes in bug fix, and test code in bug fix
DOI: 10.6084/m9.figshare.13234538.v2
title: A Dataset for Comprehensive Study of Regular Expression Bugs

description: This dataset describes the 350 merged pull requests in terms of bug classification, regex changes in bug fix, and test code in bug fix
DOI: 10.6084/m9.figshare.13234538.v1
title: A Dataset for Comprehensive Study of Regular Expression Bugs

description: This dataset describes the 350 merged pull requests in terms of bug classification, regex changes in bug fix, and test code in bug fix
DOI: 10.6084/m9.figshare.11620083
title: data.csv

description: Dataset of regex-related pull request bugs with root causes, manifestations, categories, fixes, and metrics for the "An Empirical Study on Regular Expression Bugs" MSR submission.<br>
DOI: 10.6084/m9.figshare.11620083.v1
title: data.csv

description: Dataset of regex-related pull request bugs with root causes, manifestations, categories, fixes, and metrics for the "An Empirical Study on Regular Expression Bugs" MSR submission.<br>
DOI: 10.5281/zenodo.4271582
title: The thermo-chemical evolution of Mars with a strongly stratified mantle (data)

description: The thermo-chemical evolution of Mars with a strongly stratified mantle: derived data
DOI: 10.5281/zenodo.3719458
title: The thermo-chemical evolution of Mars with a strongly stratified mantle (data)

description: The thermo-chemical evolution of Mars with a strongly stratified mantle: derived data
DOI: 10.25919/q8br-5780
title: RV Investigator Voyage IN2019_V02 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 IN2019_V02, titled "SOTS: Southern Ocean Time Series automated moorings for climate and carbon cycle studies southwest of Tasmania; Subantarctic Biogeochemistry of Carbon and Iron, Southern Ocean Time Series site." The voyage took place from Hobart (TAS) to Hobart between March 14 and April 4, 2019. This voyage consisted of two main projects: SOTS and Subantarctic Biogeochemistry (see formal titles above). 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 ), Lowered ADCP (LADCP), Fisheries echosounder (EK60), Multibeam Echosounder (EM710, EM122), Sub-bottom Profiler (SBP120), Gravimeter, GPS Positioning System, Doppler Velocity Log, Temperature, Humidity, Pressure, Wind and Rain sensors, Photosynthetically Active Radiation (PAR) sensor, Precision Infrared Radiometer (PIR), Precision Spectral Pyranometer (PSP), Nephelometer, pCO2, Condensation Particle Counters (CPC), Cloud Condensation Nuclei counter (CCN), Scanning Mobility Particle Sizers (SMPS), Multiangle Absorption Photometer (MAAP), Starboard and Portside Radiometers, Radon, Ozone and Oxygen sensors, Weather Radar, Greenhouse Gas Analysers (Picarro), Infrared Sea Surface Temperature Autonomous Radiometer (ISAR), Fluorometer, Oxygen optode, Thermosalinographs (TSG), CTD, Hydrochemistry. Voyage-specific measurements: Triaxus, ECO Triplet, Fluorescence Induction and Relaxation System (FIRe), Submersible Ultraviolet Nitrate Analyser (SUNA), Fast Repetition Rate Chlorophyll-a Fluorometer (FRRf), Transmissometer (AC9), Trace Metals. The archive for the IN2019_V02 EOV raw data is curated by the CSIRO Oceans and Atmosphere (O&A) 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 DataLibrariansOAMNF@csiro.au.
DOI: 10.7284/129313
title: Multibeam Echosounder data collected during research cruise FK180119 using a Kongsberg EM710 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129535
title: Multibeam Echosounder data collected during research cruise FK180528 using a Kongsberg EM302 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129435
title: Multibeam Echosounder data collected during research cruise FK180722 using a Kongsberg EM302 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129436
title: Multibeam Echosounder data collected during research cruise FK180722 using a Kongsberg EM710 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129691
title: Multibeam Echosounder data collected during research cruise FK180731 using a Kongsberg EM302 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138493
title: Expendable Probe data collected during research cruise FK200408 using a Turo Quoll instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138495
title: GNSS (Global Navigation Satellite System) data collected during research cruise FK200408 using a C&C C-Nav 3050 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138496
title: Gyrocompass data collected during research cruise FK200408 using a Raytheon STD 22 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138489
title: INS (Inertial Navigation System) data collected during research cruise FK200408 using a Applanix POS/MV-320 V5 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138492
title: INS (Inertial Navigation System) data collected during research cruise FK200408 using a Applanix POS/MV-320 V5 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138497
title: INS (Inertial Navigation System) data collected during research cruise FK200408 using a Kongsberg Seapath 320 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138490
title: Meteorological Station data collected during research cruise FK200408 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138491
title: Meteorological Station data collected during research cruise FK200408 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138499
title: Meteorological Station data collected during research cruise FK200408 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138485
title: Multibeam Echosounder data collected during research cruise FK200408 using a Kongsberg EM710 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138500
title: Multibeam Echosounder data collected during research cruise FK200408 using a Kongsberg EM302 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138501
title: Multibeam Echosounder data collected during research cruise FK200408 using a Kongsberg EM710 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138505
title: Multibeam Echosounder data collected during research cruise FK200408 using a Kongsberg EM302 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138486
title: Radiometer data collected during research cruise FK200408 using a Eppley RAD instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138506
title: Radiometer data collected during research cruise FK200408 using a Biospherical QSR-2200 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138507
title: Radiometer data collected during research cruise FK200408 using a Biospherical QSR-2200 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138488
title: Speedlog data collected during research cruise FK200408 using a SKIPPER EML244 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138503
title: SSV (Sound Speed Velocimeter) data collected during research cruise FK200408 using a Valeport MiniSVS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.4271549
title: Diffraction data for CCDC 1515700

description: Diffraction data for 8,16-dioctyl-8,16-dihydroacridino[2,1-a]acridine-5,13-dione
description: Polish National Science Centre, Grant No. 2015/17/B/ST5/00179
DOI: 10.5281/zenodo.4271548
title: Diffraction data for CCDC 1515700

description: Diffraction data for 8,16-dioctyl-8,16-dihydroacridino[2,1-a]acridine-5,13-dione
description: Polish National Science Centre, Grant No. 2015/17/B/ST5/00179
DOI: 10.25646/7646
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5281/zenodo.4268165
title: A proposal From Data Requirements to Semantic Data in the Context of MDA

description: This work proposes a process for the identification of the requirements associated with the data, along with and a set of transformations in Model Driven Architecture (MDA) context, in order to obtain a semantically annotated dataset, as a result of the unification and alignment of the data in the context of its initial domain. Our proposal identifies four phases (from CIM to code), in which is describe the artifacts and transformations required to progress to the next phase: a target domain model is first obtained from the data requirements, after which the ontological schema and the ontology is generated from the previous model. A domain-specific language (DSL), also proposed in this work, is then used to obtain the semantic data model (the DSL code), which gener-ates the final semantic dataset. We have validated the proposal by studying two cases: one with data from the public transport domain and the other with data concerning those affected by the COVID-19 pandemic.
DOI: 10.5281/zenodo.4268164
title: A proposal From Data Requirements to Semantic Data in the Context of MDA

description: This work proposes a process for the identification of the requirements associated with the data, along with and a set of transformations in Model Driven Architecture (MDA) context, in order to obtain a semantically annotated dataset, as a result of the unification and alignment of the data in the context of its initial domain. Our proposal identifies four phases (from CIM to code), in which is describe the artifacts and transformations required to progress to the next phase: a target domain model is first obtained from the data requirements, after which the ontological schema and the ontology is generated from the previous model. A domain-specific language (DSL), also proposed in this work, is then used to obtain the semantic data model (the DSL code), which gener-ates the final semantic dataset. We have validated the proposal by studying two cases: one with data from the public transport domain and the other with data concerning those affected by the COVID-19 pandemic.
DOI: 10.6084/m9.figshare.12942110
title: Genome-Wide Analysis of Biosynthetic Gene Cluster Reveals Correlated Gene Loss with Absence of Usnic Acid in Lichen-Forming Fungi

description: Phylogenetic treesAlignment matrixScaffold containing Usnic Acid BGC<br>
DOI: 10.6084/m9.figshare.12942110.v1
title: Genome-Wide Analysis of Biosynthetic Gene Cluster Reveals Correlated Gene Loss with Absence of Usnic Acid in Lichen-Forming Fungi

description: Phylogenetic treesAlignment matrixScaffold containing Usnic Acid BGC<br>
DOI: 10.21227/m7p7-tc39
title: CNN-01

description: The problem of predict energy consumption is an important problem for power utilities. CNN is commonly used to classify images, but CNN can also be used to predict time series. Then Temporal Convolutional Network is used to predict energy consumption in this competition.
DOI: 10.5281/zenodo.4271569
title: Three reconstructions of the formation of large open ocean polynyas in the Southern Ocean using ice core records

description: The dataset contains the indices for three reconstructions of open ocean polynya formation in the Southern Ocean over the period 1250-1990 and their uncertainties. See the associated publication Goosse H., Dalaiden Q., Cavitte M.G.P., Zhang L. Can we reconstruct the formation of large open ocean polynyas in the Southern Ocean using ice core records? Climate of the past 2020. https://doi.org/10.5194/cp-2020-91 The data are included in a text file. The first column is the time (in years). The next six columns are the three reconstructions using data assimilation with SPEAR_AM2 (DA AM2), using data assimilation with SPEAR_LO (DA LO) and a simple average of standardized time series (Stat), each of them directly followed by their uncertainties. The uncertainties are estimated from the standard deviation of the seven reconstructions using different combinations of the available ice core records. Please contact Hugues Goosse(hugues.goosse@uclouvain.be) for more information.
DOI: 10.5281/zenodo.4271568
title: Three reconstructions of the formation of large open ocean polynyas in the Southern Ocean using ice core records

description: The dataset contains the indices for three reconstructions of open ocean polynya formation in the Southern Ocean over the period 1250-1990 and their uncertainties. See the associated publication Goosse H., Dalaiden Q., Cavitte M.G.P., Zhang L. Can we reconstruct the formation of large open ocean polynyas in the Southern Ocean using ice core records? Climate of the past 2020. https://doi.org/10.5194/cp-2020-91 The data are included in a text file. The first column is the time (in years). The next six columns are the three reconstructions using data assimilation with SPEAR_AM2 (DA AM2), using data assimilation with SPEAR_LO (DA LO) and a simple average of standardized time series (Stat), each of them directly followed by their uncertainties. The uncertainties are estimated from the standard deviation of the seven reconstructions using different combinations of the available ice core records. Please contact Hugues Goosse(hugues.goosse@uclouvain.be) for more information.
DOI: 10.5067/modis/mcdaodhd_nrt.006
title: MCDAODHD MODIS/Terra+Aqua Value-added Aerosol Optical Depth