cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/352d-0a35
title: A new look at the voltage synthesis using the Conventional Matrix Converters.

description: I would like to propose two animations. The first one shows that pulse width modulation for matrix converters can be built based on the Hilbert transform instead of the Clarke transform. The file named {IeeeDataPort_1_DirectModulation_CMC3x3_animation_R2020b.m} is an animation of the exemplary rotation of input and output vectors. In the geometric arrangement shown, a smooth interpolation can be used to calculate the PWM duty cycles. The modification of the reference voltage formula leads to other interesting modulation properties. The second file, {IeeeDataPort_1_DAV_Modulation_CMC3x3_animation_R2020b.m}, shows modulation to increase the voltage transfer. Both attached files have their versions for Matlab R2020b and R2014a.
DOI: 10.21227/rnny-2g69
title: new2

description: under cons pvtpageThis dataset is in support of 14 research papers " Mathematical Insight B : " submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers".
DOI: 10.21227/cgk8-wy35
title: ElectroMagnetic Field

description: under cons pvtpageLaplace Eqaution in gives the.. Here
DOI: 10.21227/anee-z433
title: A new look at the voltage synthesis using the Conventional Matrix Converters - Part 1.

description: I would like to propose two animations. The first one shows that pulse width modulation for matrix converters can be built based on the Hilbert transform instead of the Clarke transform. The file named {IeeeDataPort_1_DirectModulation_CMC3x3_animation_R2020b.m} is an animation of the exemplary rotation of input and output vectors. In the geometric arrangement shown, a smooth interpolation can be used to calculate the PWM duty cycles. The modification of the reference voltage formula leads to other interesting modulation properties. The second file, {IeeeDataPort_1_DAV_Modulation_CMC3x3_animation_R2020b.m}, shows modulation to increase the voltage transfer. Both attached files have their versions for Matlab R2020b and R2014a.
DOI: 10.21227/gtxz-6738
title: new2

description: under cons pvtpageThis dataset is in support of 14 research papers " Mathematical Insight B : " submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers". This dataset is particulalry related to Papers-Part 2, 4, 8, 10 , as computer simualtion is
DOI: 10.21227/7559-fr66
title: new2

description: under cons pvtpageThis dataset is in support of 14 research papers " Mathematical Insight B : " submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers". This dataset is particulalry related to Papers-Part 2, 4, 8, 10 , as computer simulation is .
DOI: 10.6084/m9.figshare.13318289.v1
title: Data files (nexus alignments and NCBI metadata) for Phylogenomics of Ichneumonoidea (Hymenoptera) and implications for evolution of mode of parasitism and viral endogenization

description: Nexus files and Metadata for NCBI for Phylogenomics of Ichneumonoidea (Hymenoptera) and implications for evolution of mode of parasitism and viral endogenization
DOI: 10.6084/m9.figshare.12459926
title: Data supporting the manuscript: The specific metabolome profiling of patients infected by SARS-COV-2 supports the key role of tryptophan-nicotinamide pathway and cytosine metabolism

description: This dataset comprises a single .xlsx spreadsheet. The data pertain to COVID-19 diagnosis and metabolite levels of 100 patients: 55 infected with SARS-CoV-2 and 45 controls.<br>The data were generated as part of the study described in the related manuscript: "The specific metabolome profiling of patients infected by SARS-COV-2 supports the key role of tryptophan-nicotinamide pathway and cytosine metabolism".<br>The related study explored the plasma metabolome of patients infected with SARS-CoV-2 to search for diagnostic and/or prognostic biomarkers and to improve the knowledge of metabolic disturbance in this infection.
DOI: 10.6084/m9.figshare.12459926.v1
title: Data supporting the manuscript: The specific metabolome profiling of patients infected by SARS-COV-2 supports the key role of tryptophan-nicotinamide pathway and cytosine metabolism

description: This dataset comprises a single .xlsx spreadsheet. The data pertain to COVID-19 diagnosis and metabolite levels of 100 patients: 55 infected with SARS-CoV-2 and 45 controls.<br>The data were generated as part of the study described in the related manuscript: "The specific metabolome profiling of patients infected by SARS-COV-2 supports the key role of tryptophan-nicotinamide pathway and cytosine metabolism".<br>The related study explored the plasma metabolome of patients infected with SARS-CoV-2 to search for diagnostic and/or prognostic biomarkers and to improve the knowledge of metabolic disturbance in this infection.
DOI: 10.3204/pubdb-2019-05568
title: Fe(II)-3-grid_MLCT40, CCDC No: 1942303 (2019)
DOI: 10.5281/zenodo.4302271
title: Application of contact-resonance AFM methods to polymer samples (Raw Data)

description: Raw data and figures of the article "Application of contact-resonance AFM methods to polymer samples", published in Beilstein Journal of Nanotechnology on 12 Nov 2020 The raw data can be opened with the software "Igor Pro"
description: This project has received funding from the EMPIR program co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation program under no. 17IND05 MicroProbes.
DOI: 10.5281/zenodo.4302270
title: Application of contact-resonance AFM methods to polymer samples (Raw Data)

description: Raw data and figures of the article "Application of contact-resonance AFM methods to polymer samples", published in Beilstein Journal of Nanotechnology on 12 Nov 2020 The raw data can be opened with the software "Igor Pro"
description: This project has received funding from the EMPIR program co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation program under no. 17IND05 MicroProbes.
DOI: 10.21227/f8gw-k756
title: new2

description: This dataset is in support of 14 research papers " Mathematical Insight B : " submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers". This dataset is particulalry related to Papers-Part 2, 4,6, 8, 10 , as computer simulation is . The results of Part2- clearly shows the difference inthe results as compared and supposed tobe obtained from "Part-1" .Similalry 'Part-4' results'Part-6' results'Part-8' results'Part-10' results
DOI: 10.21227/d0n1-mv20
title: A 14 series Paper :Mathematical Insight on d

description: This dataset is in support of 14 research papers " Mathematical Insight B : " submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers". This dataset is particulalry related to Papers-Part 2, 4,6, 8, 10 , as computer simulation is . The results of Part2- clearly shows the difference inthe results as compared and supposed tobe obtained from "Part-1" .Similalry 'Part-4' results'Part-6' results'Part-8' results'Part-10' results
DOI: 10.5281/zenodo.4302295
title: De novo genome assembly of the Tobacco Hornworm moth (Manduca sexta)

description: <strong>We present the new reference genome for M sexta, JHU_Msex_v1.0, applying a combination of modern technologies in a de novo assembly to increase continuity, accuracy, and completeness. The assembly is 470 Mb and is ~25x more continuous than the original assembly, with scaffold N50 &gt;14 Mb. We annotated the assembly by lifting over existing annotations and supplementing with additional supporting RNA-based data for a total of 25,256 genes. The new reference assembly is accessible in annotated form for public use.</strong>
DOI: 10.5281/zenodo.4005067
title: De novo genome assembly of the Tobacco Hornworm moth (Manduca sexta)

description: <strong>We present the new reference genome for M sexta, JHU_Msex_v1.0, applying a combination of modern technologies in a de novo assembly to increase continuity, accuracy, and completeness. The assembly is 470 Mb and is ~25x more continuous than the original assembly, with scaffold N50 &gt;14 Mb. We annotated the assembly by lifting over existing annotations and supplementing with additional supporting RNA-based data for a total of 25,256 genes. The new reference assembly is accessible in annotated form for public use.</strong>
DOI: 10.17632/btpnx7wmc3.1
title: Data for: Constraining Coseismic Slips of Earthquakes with Fault Scarps Using Structure from Motion (SfM): Example from the East Helanshan Fault, China
DOI: 10.21227/pvvx-7p34
title: Mathematical Insight on A

description: This dataset is in support of research paper " Mathematical Insight on the " submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers".Mathematical InsightIt is known since 500 years that .The author has submitted mathemacitcal reaingin the paper, Here this
DOI: 10.21227/s6hk-nk78
title: Mathematical Insight on A

description: This dataset is in support of research paper " Mathematical Insight on the " submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers".Mathematical InsightIt is known since 500 years that .The author has submitted mathemacitcal reaingin the paper, Here this
DOI: 10.3204/pubdb-2020-04711
title: Fe(II)-3-grid_200K_40ps, CCDC No: 1942230 (2019)
DOI: 10.21227/pnf3-6m25
title: Mathematical Insight on A

description: This dataset is in support of research paper " Mathematical Insight on the " submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers".Mathematical InsightIt is known since 500 years that .The author has submitted mathemacitcal reasoning in the paper,which dfor does show that such is true Here this
DOI: 10.5517/ccdc.csd.ccx49dq
title: CCDC 838283: Experimental Crystal Structure Determination

description: Related Article: Maruthapillai Gowri|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.ccx49fr
title: CCDC 838284: Experimental Crystal Structure Determination

description: Related Article: Maruthapillai Gowri|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc21schq
title: CCDC 1900253: Experimental Crystal Structure Determination

description: Related Article: Maruthapillai Gowri|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc21xyvs
title: CCDC 1904666: Experimental Crystal Structure Determination

description: Related Article: Maruthapillai Gowri|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23ctz9
title: CCDC 1947791: Experimental Crystal Structure Determination

description: Related Article: Hua Lu, Takayuki Nakamuro, Keitaro Yamashita, Haruaki Yanagisawa, Osamu Nureki, Masahide Kikkawa, Han Gao, Jiangwei Tian, Rui Shang, Eiichi Nakamura|2020|J.Am.Chem.Soc.|142|18990|doi:10.1021/jacs.0c10337
DOI: 10.5517/ccdc.csd.cc244m64
title: CCDC 1970645: Experimental Crystal Structure Determination

description: Related Article: Benson Joseph, Rini Prakash, Ranjit Bag, Sundargopal Ghosh|2020|Inorg.Chem.|59|16272|doi:10.1021/acs.inorgchem.0c02062
DOI: 10.5517/ccdc.csd.cc24f4c3
title: CCDC 1978834: Experimental Crystal Structure Determination

description: Related Article: Sonam Jaspal, Vikki N. Shinde, Neha Meena, Dhananjay S. Nipate, Krishnan Rangan, Anil Kumar|2020|Org.Biomol.Chem.|18|9072|doi:10.1039/D0OB01842B
DOI: 10.5517/ccdc.csd.cc25c26v
title: CCDC 2006636: Experimental Crystal Structure Determination

description: Related Article: Selvakumar Arumugam, Pulikanti Guruprasad Reddy, Maria Francis, Aditya Kulkarni, Sudipta Roy, Kartik Chandra Mondal|2020|RSC Advances|10|39366|doi:10.1039/D0RA05316C
DOI: 10.5517/ccdc.csd.cc25c29y
title: CCDC 2006639: Experimental Crystal Structure Determination

description: Related Article: Selvakumar Arumugam, Pulikanti Guruprasad Reddy, Maria Francis, Aditya Kulkarni, Sudipta Roy, Kartik Chandra Mondal|2020|RSC Advances|10|39366|doi:10.1039/D0RA05316C
DOI: 10.5517/ccdc.csd.cc25c2yl
title: CCDC 2006659: Experimental Crystal Structure Determination

description: Related Article: Selvakumar Arumugam, Pulikanti Guruprasad Reddy, Maria Francis, Aditya Kulkarni, Sudipta Roy, Kartik Chandra Mondal|2020|RSC Advances|10|39366|doi:10.1039/D0RA05316C
DOI: 10.5517/ccdc.csd.cc25prxk
title: CCDC 2016919: Experimental Crystal Structure Determination

description: Related Article: Christian D. Buch, Steen H. Hansen, Camilla M. Tram, Dmitri Mitcov, Stergios Piligkos|2020|Inorg.Chem.|59|16328|doi:10.1021/acs.inorgchem.0c02121
DOI: 10.5517/ccdc.csd.cc266t5f
title: CCDC 2032334: Experimental Crystal Structure Determination

description: Related Article: Jian Deng, Yuejuan Wan, Chang Cai, Cheng Gu, Yuguang Ma|2020|Chem.Commun.|56|13776|doi:10.1039/D0CC06552H
DOI: 10.5517/ccdc.csd.cc22zy89
title: CCDC 1936361: Experimental Crystal Structure Determination

description: Related Article: Jian Deng, Yuejuan Wan, Chang Cai, Cheng Gu, Yuguang Ma|2020|Chem.Commun.|56|13776|doi:10.1039/D0CC06552H
DOI: 10.5281/zenodo.4300299
title: Road siting experiment

description: This dataset comes from an experiment performed at the Italian National Metrology Institute (INRiM) in the framework of EMPIR project MeteoMet 2. The purpose of the experiment was to evaluate the effect of the presence of a road in near-surface temperature data. The dataset is composed by 2 files, with identical structure and datafields. The experiment was laid out as a series of 7 measurement points, at progressively longer distances from a local 2-laned road in the countryside around Turin, Italy. The header of the files is here described: "Data e ora": Date and time TE1101: air temperature sensor #1, distance from the road= 1 m TE1102: air temperature sensor #2, distance from the road= 1 m TE1201: air temperature sensor, distance from the road= 5 m TE1301: air temperature sensor, distance from the road= 10 m TE1401: air temperature sensor, distance from the road= 20 m TE1501: air temperature sensor, distance from the road= 30 m TE1601: air temperature sensor, distance from the road= 50 m TE1701: air temperature sensor, distance from the road= 100 m MT1302: relative humidity sensor, distance from the road= 10 m MT1502: relative humidity sensor, distance from the road= 30 m XM1505: solar radiation, distance from the road= 30 m ZT1503: wind direction, distance from the road= 30 m ST1504: wind speed, distance from the road= 30 m Road_siting_experiment_INRIM.csv is the data collected during the experiment, with measurement points located at the distances indicated in the previous list. Road_siting_colocation_INRiM.csv is the data collected during a second phase of the experiment, when the sensors had all been rearranged in the same spot (co-location) in order to evaluate the behaviour of the sensors while exposed to the same environmental conditions.
description: Sensor TE1101 showed large drifts and suffered electrical problems: it should not be used for scientific purposes. Due to construction, N.V.'s for sensor XM1505 must be intended as 0, while N.V.'s for MT1502 and MT1302 must be intended as 100.
DOI: 10.5281/zenodo.4300298
title: Road siting experiment

description: This dataset comes from an experiment performed at the Italian National Metrology Institute (INRiM) in the framework of EMPIR project MeteoMet 2. The purpose of the experiment was to evaluate the effect of the presence of a road in near-surface temperature data. The dataset is composed by 2 files, with identical structure and datafields. The experiment was laid out as a series of 7 measurement points, at progressively longer distances from a local 2-laned road in the countryside around Turin, Italy. The header of the files is here described: "Data e ora": Date and time TE1101: air temperature sensor #1, distance from the road= 1 m TE1102: air temperature sensor #2, distance from the road= 1 m TE1201: air temperature sensor, distance from the road= 5 m TE1301: air temperature sensor, distance from the road= 10 m TE1401: air temperature sensor, distance from the road= 20 m TE1501: air temperature sensor, distance from the road= 30 m TE1601: air temperature sensor, distance from the road= 50 m TE1701: air temperature sensor, distance from the road= 100 m MT1302: relative humidity sensor, distance from the road= 10 m MT1502: relative humidity sensor, distance from the road= 30 m XM1505: solar radiation, distance from the road= 30 m ZT1503: wind direction, distance from the road= 30 m ST1504: wind speed, distance from the road= 30 m Road_siting_experiment_INRIM.csv is the data collected during the experiment, with measurement points located at the distances indicated in the previous list. Road_siting_colocation_INRiM.csv is the data collected during a second phase of the experiment, when the sensors had all been rearranged in the same spot (co-location) in order to evaluate the behaviour of the sensors while exposed to the same environmental conditions.
description: Sensor TE1101 showed large drifts and suffered electrical problems: it should not be used for scientific purposes. Due to construction, N.V.'s for sensor XM1505 must be intended as 0, while N.V.'s for MT1502 and MT1302 must be intended as 100.
DOI: 10.21227/4kgm-5d86
title: wind turbine

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Energy Conversion".In this dataset, both models simulation and results
DOI: 10.21227/j9jn-qp93
title: wind turbine 2

description: under construction pls visit later in Jan/Feb 2021 This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on on Energy Conversion".In the submitted dataset and paper " N Wind Turbine ",the comparison on 2 models .In this dataset and the Researchppers Part 1, 2, 3 submitted to Journal, author has extened this to
DOI: 10.21227/ftpw-yw04
title: Drone Remote Controller RF Signal Dataset

description: This dataset contains RF signals from drone remote controllers (RCs) of different makes and models. The RF signals transmitted by the drone RCs to communicate with the drones are intercepted and recorded by a passive RF surveillance system, which consists of a high-frequency oscilloscope, directional grid antenna, and low-noise power amplifier. The drones were idle during the data capture process. All the drone RCs transmit signals in the 2.4 GHz band. There are 17 drone RCs from eight different manufacturers and ~1000 RF signals per drone RC, each spanning a duration of 0.25 ms.
DOI: 10.21227/56hc-z092
title: Non Linear Battery

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Energy Conversion".In this dataset,
DOI: 10.21227/wsfv-d921
title: wind turbine 2

description: under construction pls visit later in Jan/Feb 2021 This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on on Energy Conversion".In the submitted dataset and paper " N Wind Turbine ",the comparison on 2 models was drawn, The author in 3 more papers has extended that to but the model chosenIn this dataset and the Researchppers Part 1, 2, 3 submitted to Journal, a
DOI: 10.21227/rmc4-zk50
title: A new look at the voltage synthesis using the Conventional Matrix Converters - Part 1.

description: I would like to propose two animations. The first one shows that pulse width modulation for matrix converters can be built based on the Hilbert transform instead of the Clarke transform. The file named {IeeeDataPort_1_DirectModulation_CMC3x3_animation_R2020b.m} is an animation of the exemplary rotation of input and output vectors. In the geometric arrangement shown, a smooth interpolation can be used to calculate the PWM duty cycles. The modification of the reference voltage formula leads to other interesting modulation properties. The second file, {IeeeDataPort_1_DAV_Modulation_CMC3x3_animation_R2020b.m}, shows modulation to increase the voltage transfer. Both attached files have their versions for Matlab R2020b and R2014a.
DOI: 10.21227/6y5v-yv95
title: kW DC Solar with BMS

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Energy Conversion".
DOI: 10.5281/zenodo.4300689
title: Raw data accompanying the manuscript "Multiscale and multimodal optical imaging of the human liver"

description: These are the raw datasets used to generate the figures for the manuscript entitled "Multiscale and multimodal optical imaging of the human liver". The file CARS_SRS.zip contains folders with all raw CARS and SRS data (TIFF format). The file CLSM.zip contains confocal laser scanning microscopy data using the manufacturers data format (Zeiss). The file LSFM.zip contains light sheet fluorescence microscopy data files using the manufacturers data format (LaVision Biotec). The file OPT.zip contains raw optical projection tomography data at different excitation wavelengths (TIFF format). The file SRSIM.zip contains reconstructed structured illumination microscopy data files (TIFF format).
description: Funding: CRC 1348, German Research Foundation Marie Sklodowska-Curie Grant Agreement No. 766181, European Union Horizon 2020 research and innovation program Protestant Hospital of Bethel Foundation
DOI: 10.5281/zenodo.4300688
title: Raw data accompanying the manuscript "Multiscale and multimodal optical imaging of the human liver"

description: These are the raw datasets used to generate the figures for the manuscript entitled "Multiscale and multimodal optical imaging of the human liver". The file CARS_SRS.zip contains folders with all raw CARS and SRS data (TIFF format). The file CLSM.zip contains confocal laser scanning microscopy data using the manufacturers data format (Zeiss). The file LSFM.zip contains light sheet fluorescence microscopy data files using the manufacturers data format (LaVision Biotec). The file OPT.zip contains raw optical projection tomography data at different excitation wavelengths (TIFF format). The file SRSIM.zip contains reconstructed structured illumination microscopy data files (TIFF format).
description: Funding: CRC 1348, German Research Foundation Marie Sklodowska-Curie Grant Agreement No. 766181, European Union Horizon 2020 research and innovation program Protestant Hospital of Bethel Foundation
DOI: 10.5287/bodleian:qqv4edrnq
title: Landscape Dynamics (landDX) database: An integrated open-access spatial-temporal database for landscape-scale management and research in the Kenya-Tanzania borderlands
DOI: 10.5255/ukda-sn-854475
title: Survey of urban housing in China 2017

description: The 'financialisation' of Chinese housing, land and infrastructure - the use of financial instruments to convert the built environment into investment opportunities - generates momentum and vitality in the Chinese economy and has led to wealth accumulation. This study explores how the Chinese housing boom has been financed in the absence of a more developed financial system, and to what extent the financial sector has contributed to the overall appreciation of housing and land assets. A large questionnaire survey was conducted in six case cities including Shanghai, Shenzhen, Chengdu, Xi'an, Nanjing and Tianjin.
DOI: 10.5281/zenodo.4302340
title: The sensitivity of British weather to ocean tides.

description: Data to reproduce the figures in the publication: "The sensitivity of British weather to ocean tides." Details on contents of each file are provided in the filename. An explanation of the variable names: votemper_top = sea surface temperature (SST) votemper_bot = sea bed temperature (SBT) strat = (SST – SBT) ATM_SHELF250_inv_mask.nc: a mask on the atmospheric grid used to define which areas lie over where the bathymetry is over 250m and over land. ATM_shelf_narrow_ESW_mask.nc: a mask on the atmospheric grid used to define the 'GB' area.
DOI: 10.5281/zenodo.4017398
title: The sensitivity of British weather to ocean tides.

description: Data to reproduce the figures in the publication: "The sensitivity of British weather to ocean tides." Details on contents of each file are provided in the filename. An explanation of the variable names: votemper_top = sea surface temperature (SST) votemper_bot = sea bed temperature (SBT) strat = (SST – SBT) ATM_SHELF250_inv_mask.nc: a mask on the atmospheric grid used to define which areas lie over where the bathymetry is over 250m and over land. ATM_shelf_narrow_ESW_mask.nc: a mask on the atmospheric grid used to define the 'GB' area.