cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25381/cput.24597435.v1
title: <b>MODELLING AND DESIGN ISSUES OF MODEL PREDICTIVE CURRENT CONTROL OF A VOLTAGE SOURCE CONVERTER</b>

description: This research implements a Model Predictive Current Control scheme to monitor the output current for a three-phase, two-level VSC. A Finite State-Model Predictive Current Control technique will be presented for a three-phase, two-level VSC. Finite State Model Predictive Current Control proved to be a viable control method for power converters. One of several key benefits is the ability to monitor several system parameters with a single control rule by combining the system parameters with correct weighting factors. Nevertheless, these coefficients are determined through empirical calculations in the present leading-edge research. Thus far, no analytical or numerical method has been devised to obtain an ideal resolution. Furthermore, the empirical technique is not often concise, and no processes have already been identified. The whole research presents a method to a set of instructions that reduces the unpredictability of this process. Firstly, FS-MPCC will be introduced to decrease the computation effort for Model Predictive Current Control as well as to forecast future load current value for all eight generated potential switching states produced by the converter. secondly, this study classifies various cost functions and compares the performance of a system using delay compensation to a system without delay compensation. The objective is to assess the influence of delay compensation on the desired outcome and overall system performance. The various phases of the empiric process are then described. Lastly, the performance assessment of the FS-MPCC for a three-phase, two-level voltage source converter is reviewed in terms of power quality, dynamic performance, and tracking behavior. Modeling and simulation will be performed using the programs MATLAB / Simulink.Ethics Reference number: 2021FEREC-STD-03
DOI: 10.4121/a5174397-3489-4f5d-b220-6749f3750942
title: Model Data for 'Accounting for Uncertainties in Forecasting Tropical Cyclone-Induced Compound Flooding' (TC-FF)

description: This dataset is an integral part of the research presented in the paper titled "Accounting for Uncertainties in Forecasting Tropical Cyclone-Induced Compound Flooding" (TC-FF). It encompasses a comprehensive collection of data and model setups used in our study, to facilitate further research and understanding in this area.<br>The contents of this dataset include:<strong>SFINCS Model Setup</strong>: The SFINCS (Super-Fast INundation of CoastS) model is a critical component of our research. It was employed for simulating the hydrodynamic processes. More information about the SFINCS model can be found on Deltares' official website at Deltares SFINCS.<strong>Tidal Validation Data</strong>: As illustrated in our paper, this section includes detailed tidal validation data, supporting the accuracy and reliability of our model predictions in tidal scenarios.<strong>Validation of Event Idai:</strong> This section contains specific validation data for Tropical Cyclone Idai, which is a key case study in our research. It demonstrates the model's effectiveness in predicting the impacts of this particular event.<strong>TC-FF Generated Ensemble Members</strong>: This critical component of our dataset includes the ensemble members generated for the TC-FF model, offering predictions from 1 to 5 days before landfall. These ensemble members are essential for understanding the range of potential outcomes and uncertainties associated with tropical cyclone-induced flooding.<br>This dataset is intended to complement the findings and discussions presented in our paper, offering a deeper insight into the methodologies and analyses employed. We believe it will be a valuable resource for researchers and practitioners working in the field of meteorology, hydrology, and disaster risk management.
DOI: 10.4121/a5174397-3489-4f5d-b220-6749f3750942.v1
title: Model Data for 'Accounting for Uncertainties in Forecasting Tropical Cyclone-Induced Compound Flooding' (TC-FF)

description: This dataset is an integral part of the research presented in the paper titled "Accounting for Uncertainties in Forecasting Tropical Cyclone-Induced Compound Flooding" (TC-FF). It encompasses a comprehensive collection of data and model setups used in our study, to facilitate further research and understanding in this area.<br>The contents of this dataset include:<strong>SFINCS Model Setup</strong>: The SFINCS (Super-Fast INundation of CoastS) model is a critical component of our research. It was employed for simulating the hydrodynamic processes. More information about the SFINCS model can be found on Deltares' official website at Deltares SFINCS.<strong>Tidal Validation Data</strong>: As illustrated in our paper, this section includes detailed tidal validation data, supporting the accuracy and reliability of our model predictions in tidal scenarios.<strong>Validation of Event Idai:</strong> This section contains specific validation data for Tropical Cyclone Idai, which is a key case study in our research. It demonstrates the model's effectiveness in predicting the impacts of this particular event.<strong>TC-FF Generated Ensemble Members</strong>: This critical component of our dataset includes the ensemble members generated for the TC-FF model, offering predictions from 1 to 5 days before landfall. These ensemble members are essential for understanding the range of potential outcomes and uncertainties associated with tropical cyclone-induced flooding.<br>This dataset is intended to complement the findings and discussions presented in our paper, offering a deeper insight into the methodologies and analyses employed. We believe it will be a valuable resource for researchers and practitioners working in the field of meteorology, hydrology, and disaster risk management.
DOI: 10.4121/98b4d5dd-7b07-48c0-bbc7-62a2f10944b1.v3
title: Data underlying the publication: "Temperature status of domestic refrigerators and its effect on the risk of listeriosis from ready-to-eat (RTE) cooked meat products".

description: Inadequate domestic refrigeration is frequently cited as a factor that contributes to foodborne poisoning and infection, and consumer behaviour in this regard can vary largely. This study provides insight into the temperature profiles of domestic refrigerators in the Netherlands and the impact on the number of listeriosis cases related to ready-to-eat (RTE) cooked meat products. A QMRA (Quantitative Microbiological Risk Assessment) was performed with emphasis on consumer handling and storage of RTE cooked meat products before consumption. Monte Carlo simulations were performed to determine the distribution of the Probability of illness using @Risk simulation software (@Risk 8.2 for Excel, Palisade, Ithaca, USA), as an add-in to Microsoft Excel, with 1,000,000 iterations.
DOI: 10.4121/98b4d5dd-7b07-48c0-bbc7-62a2f10944b1
title: Data underlying the publication: "Temperature status of domestic refrigerators and its effect on the risk of listeriosis from ready-to-eat (RTE) cooked meat products".

description: Inadequate domestic refrigeration is frequently cited as a factor that contributes to foodborne poisoning and infection, and consumer behaviour in this regard can vary largely. This study provides insight into the temperature profiles of domestic refrigerators in the Netherlands and the impact on the number of listeriosis cases related to ready-to-eat (RTE) cooked meat products. A QMRA (Quantitative Microbiological Risk Assessment) was performed with emphasis on consumer handling and storage of RTE cooked meat products before consumption. Monte Carlo simulations were performed to determine the distribution of the Probability of illness using @Risk simulation software (@Risk 8.2 for Excel, Palisade, Ithaca, USA), as an add-in to Microsoft Excel, with 1,000,000 iterations.
DOI: 10.5281/zenodo.10479230
title: Dataset of Switchable asymmetric water transport in dense nanocomposite membranes

description: Source data of the study reported in the publication entitled "Switchable asymmetric water transport in dense nanocomposite membranes". The data should be considered together with the published manuscript and the supplementary information file.
DOI: 10.5281/zenodo.10479231
title: Dataset of Switchable asymmetric water transport in dense nanocomposite membranes

description: Source data of the study reported in the publication entitled "Switchable asymmetric water transport in dense nanocomposite membranes". The data should be considered together with the published manuscript and the supplementary information file.
DOI: 10.25919/e0g5-n160
title: Parkes observations for project P455 semester 2023OCTS_03

description: This project is to continue timing and profile studies of the first double-pulsar system, a unique laboratory for gravitational physics. Important results published in our 53-page Phys. Rev. X paper (Kramer et al., Vol 11, October 2021) include the first measurements of higher-order light-propagation effects and of the relativistic deformation of the orbit and highlight the importance of a long term observational campaign, including VLBI observations, for this remarkable system. The main aims of this proposal are to provide the strongest tests to date for general relativity and to measure for the first time the moment-of-inertia of a neutron star. Additionally, we will determine the system geometry, map the pulsar beams via geodetic precession, and search for the reappearance of Pulsar B. We exploit the high sensitivity and broad bandwidth of the UWL receiver. Continuation of this project is vital to provide overlap with MeerKAT timing observations of the Double Pulsar system which commenced recently.
DOI: 10.25919/ez6s-x971
title: Parkes observations for project P1054 semester 2023OCTS_11

description: With this proposal we ask time to continue our timing follow-up campaign of pulsars discovered with the MeerKAT telescope. Twentyfive sources have been discovered in targeted observations of Fermi unidentified point sources, one in association with a Supernova Remnant, 13 in the Magellanic Clouds, 72 in Globular Clusters and 78 in a survey of the Galactic plane. A large fraction of the new discoveries are recycled pulsars (including at least one double neutron star system and several 'spider' binaries), or young pulsars. Timing observations have an essential role in exploiting the full potential of any pulsar discovery, allowing the precise measurement of rotational, astrometric and orbital parameters which, in turn, give us powerful tools to improve our understanding of the physics in extreme environments as well as of the population of neutron stars as a whole. The UWL receiver of the Parkes telescope is a sensitive, versatile instrument that is allowing us to successfully time these new sources, in the bright-end of TRAPUM discoveries.
DOI: 10.25919/f9v9-b813
title: Parkes observations for project PX500 semester 2023OCTS_07

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 PX501) 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, relating to this proposal, 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 will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.5281/zenodo.10588896
title: PM20 IFIS database

description: This is the latest state of the IFIS database, which holds metadata about the 20th Century Press Archives (PM20) and was maintained by ZBW - Leibniz Information Centre for Economics until 01/2024. According to the Open data policy of ZBW re. PM20 metadata, it is published here under CC0 licence. 

Database and according record and field documentation was dumped from Postgres 9.2 (2024-01-29).
DOI: 10.5281/zenodo.10588897
title: PM20 IFIS database

description: This is the latest state of the IFIS database, which holds metadata about the 20th Century Press Archives (PM20) and was maintained by ZBW - Leibniz Information Centre for Economics until 01/2024. According to the Open data policy of ZBW re. PM20 metadata, it is published here under CC0 licence. 

Database and according record and field documentation was dumped from Postgres 9.2 (2024-01-29).
DOI: 10.20375/0000-0011-6726-f
title: DIF_CPS_0623-questionnaire.pdf
DOI: 10.20375/0000-0011-6727-e
title: DIF_CPS_0623.sav
DOI: 10.20375/0000-0011-6728-d
title: DIF_CPS_0623-selected-results.pdf
DOI: 10.20375/0000-0011-6729-c
title: DIF_CPS_0623.xlsx
DOI: 10.20375/0000-0011-672a-b
title: Documentation-Data-Collection-DIF_CPS_June2023.pdf
DOI: 10.48320/9d1253d5-4efd-4c6e-ba18-011b98b527cf
title: Public opinion poll "War, Peace, Victory and the Future" (Ilko Kucheriv Democratic Initiatives Foundation)
DOI: 10.4121/22210807
title: Data from: Early detection of phytophthora using hyperspectral imaging field experiment

description: The purpose of the study was to determine in the field if itis possible to detect phytopthora in an early stage using hyperspectral imaging. 12 rows of potatoes have been planted, the treatments are described below. The day before that the plants have been visually checked and marked with a colored stick by an expert. In doubt the tubers have been checked in the lab to validate Phytopthora infestans.
DOI: 10.4121/22210807.v1
title: Data from: Early detection of phytophthora using hyperspectral imaging field experiment

description: The purpose of the study was to determine in the field if itis possible to detect phytopthora in an early stage using hyperspectral imaging. 12 rows of potatoes have been planted, the treatments are described below. The day before that the plants have been visually checked and marked with a colored stick by an expert. In doubt the tubers have been checked in the lab to validate Phytopthora infestans.
DOI: 10.57745/6fvhsa
title: Description_BBCH_stages.pdf

description: :unav
DOI: 10.57745/motw6r
title: Description_BBCH_stages-1.pdf

description: :unav
DOI: 10.57745/ugk4v0
title: Permission_publication_Dataset_ONF.pdf

description: :unav
DOI: 10.57745/usv4ud
title: ANFS-D-23-00044-metadata.tab

description: :unav
DOI: 10.57745/yukthr
title: Phenological_data_Ventoux.tab

description: :unav
DOI: 10.57745/ua28jb
title: Phenological_data_Ventoux-1.tab

description: :unav
DOI: 10.34740/kaggle/dsv/7511513
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.22574197.v1
title: A non-carboxylative route for the efficient synthesis of central metabolite malonyl-CoA and its derived products

description: The raw data for manuscript with the title of "A non-carboxylative route for the efficient synthesis of central metabolite malonyl-CoA and its derived products"
DOI: 10.6084/m9.figshare.22574197
title: A non-carboxylative route for the efficient synthesis of central metabolite malonyl-CoA and its derived products

description: The raw data for manuscript with the title of "A non-carboxylative route for the efficient synthesis of central metabolite malonyl-CoA and its derived products"
DOI: 10.5517/ccdc.csd.cc2j5rwc
title: CCDC 2329243: Experimental Crystal Structure Determination

description: Related Article: Igor Litvinov|2024|CSD Communication|||
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: 10.6084/m9.figshare.23716137
title: Updated Estimates of Food Losses and Waste Along Global Supply Chains show increasing Nutritional and Environmental pressures

description: Magnitude, nutritional content, and environmental footprint of food loss and waste along global supply chains.
DOI: 10.6084/m9.figshare.23716137.v1
title: Updated Estimates of Food Losses and Waste Along Global Supply Chains show increasing Nutritional and Environmental pressures

description: Magnitude, nutritional content, and environmental footprint of food loss and waste along global supply chains.
DOI: 10.6084/m9.figshare.24669252.v1
title: Efficient Tin-based Perovskite Solar Cells with Trans-isomeric Fulleropyrrolidine Additive

description: The data used in this paper.
DOI: 10.6084/m9.figshare.24669252
title: Efficient Tin-based Perovskite Solar Cells with Trans-isomeric Fulleropyrrolidine Additive

description: The data used in this paper.
DOI: 10.6084/m9.figshare.21749327
title: Original data for the manuscript "On the unloading-induced fault reactivation: The effect of stress path on failure criterion and rupture dynamics".

description: Data for this manuscript.
DOI: 10.15156/bio/sh118723.07fu
title: SH118723.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh118724.07fu
title: SH118724.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh118725.07fu
title: SH118725.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh118726.07fu
title: SH118726.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh118727.07fu
title: SH118727.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh118728.07fu
title: SH118728.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.