cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4297542
title: PermaRisk Projekt: Soil Parameters and Climate Forcing

description: This dataset contains soil parameters and climate forcing data required to simulate the ground thermal dynamics for regions in Alaska (Prudhoe Bay), Canada (Churchill), and Russia (Lena-River Delta) using the permafrost model CryoGrid (https://github.com/CryoGrid). The soil data were compiled in the frame of the Project: Simulating erosion processes in permafrost landscapes under a warming climate – a risk assessment for ecosystems and infrastructure within the Arctic - PermaRisk funded by the German Federal Ministry of Education and Research (BMBF).
DOI: 10.5281/zenodo.4297927
title: A new set of analytical formulae for the computation of the bootstrap current and the neoclassical conductivity in tokamaks

description: Provided data includes data sets that have been used to develop a new set of analytical formulas for calculating the bootstrap current and the neoclassical conductivity.
DOI: 10.5281/zenodo.4066956
title: A new set of analytical formulae for the computation of the bootstrap current and the neoclassical conductivity in tokamaks

description: Provided data includes data sets that have been used to develop a new set of analytical formulas for calculating the bootstrap current and the neoclassical conductivity.
DOI: 10.5517/ccdc.csd.cc25n859
title: CCDC 2015470: Experimental Crystal Structure Determination

description: Related Article: Diana Chisca, Lilia Croitor, Elena Melnic, Oleg Petuhov, Olga Kulikova, Marina S. Fonari|2020|Polyhedron|192|114844|doi:10.1016/j.poly.2020.114844
DOI: 10.5517/ccdc.csd.cc25n86b
title: CCDC 2015471: Experimental Crystal Structure Determination

description: Related Article: Diana Chisca, Lilia Croitor, Elena Melnic, Oleg Petuhov, Olga Kulikova, Marina S. Fonari|2020|Polyhedron|192|114844|doi:10.1016/j.poly.2020.114844
DOI: 10.17028/rd.lboro.13302350.v1
title: Supplementary information files for Accuracy, cost and sensitivity analysis of PV energy rating

description: Supplementary files for article Accuracy, cost and sensitivity analysis of PV energy rating. We present an analysis of the accuracy and cost of energy rating of photovoltaic modules. We identify the prominent sources of uncertainty and demonstrate that good estimates of energy rating can be made with a reduced set of measurements, thereby reducing cost. The energy rating standards IEC 61853 parts 1–4 provide a method for differentiating the expected performance of photovoltaic modules under real-world conditions. It combines a comprehensive set of measurements on modules with a numerical model to produce performance ratings for different reference climates. We have developed a simulation tool to explore the sensitivity of energy rating to various factors, including an uncertainty model developed from a survey of accredited test and calibration laboratories. The set of 22 performance-matrix measurements required by the standard do not span the full range of conditions experienced in the reference climates. Nevertheless, we find that extrapolation and interpolation of the measurements is sufficiently accurate for different module types. Indeed, the number of measurements can be significantly reduced without adversely affecting accuracy. We find that the overall accuracy of energy rating is similar to that of power output at standard test conditions. A sensitivity analysis identified the most important sources of uncertainty to be the measurement of irradiance and the nominal module operating temperature.<br>
DOI: 10.17028/rd.lboro.13302350
title: Supplementary information files for Accuracy, cost and sensitivity analysis of PV energy rating

description: Supplementary files for article Accuracy, cost and sensitivity analysis of PV energy rating. We present an analysis of the accuracy and cost of energy rating of photovoltaic modules. We identify the prominent sources of uncertainty and demonstrate that good estimates of energy rating can be made with a reduced set of measurements, thereby reducing cost. The energy rating standards IEC 61853 parts 1–4 provide a method for differentiating the expected performance of photovoltaic modules under real-world conditions. It combines a comprehensive set of measurements on modules with a numerical model to produce performance ratings for different reference climates. We have developed a simulation tool to explore the sensitivity of energy rating to various factors, including an uncertainty model developed from a survey of accredited test and calibration laboratories. The set of 22 performance-matrix measurements required by the standard do not span the full range of conditions experienced in the reference climates. Nevertheless, we find that extrapolation and interpolation of the measurements is sufficiently accurate for different module types. Indeed, the number of measurements can be significantly reduced without adversely affecting accuracy. We find that the overall accuracy of energy rating is similar to that of power output at standard test conditions. A sensitivity analysis identified the most important sources of uncertainty to be the measurement of irradiance and the nominal module operating temperature.<br>
DOI: 10.25403/upresearchdata.13281440
title: Investigating the mediating effect of coaching on the negative effects of empowering leadership

description: Quantitative data, online survey results testing empowering leadership, coaching, self-efficacy, and job induced tention
DOI: 10.25403/upresearchdata.13281440.v1
title: Investigating the mediating effect of coaching on the negative effects of empowering leadership

description: Quantitative data, online survey results testing empowering leadership, coaching, self-efficacy, and job induced tention
DOI: 10.5519/qd.syo4djde
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.mpqkmidc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2 records)
DOI: 10.5286/isis.e.rb1910605-3
title: Investigation of magnon dynamics of rare-earth garnet Ho3Fe5O12

description: Rare-earth Iron garnets (RE3Fe5O12) have been in the focus of active research for the last five decades due to their fascinating properties, such as large magnetostriction, magneto-optical effects and possible application in spintronic. These compounds, model system illustrating the Neel theory of ferrimagnetism, has complex magnetic properties and influence of this complexity is not well studied. Hence, elaborate study of spin wave propagation on these ferrimagnetic insulator is required to provide microscopic models of its complexity. The proposed compound Ho3Fe5O12 can be a potential candidate for such type of study because of large anisotropy and strong magnetic moment of Ho3+ ion. No definitive work relating to the detail of magnon mode structure of Ho3Fe5O12 exists so far. Hence we are proposing here to perform INS in MAPS spectrometer to find out all the existing spin-wave mode.
DOI: 10.5281/zenodo.4297930
title: Data underlying the research of: "Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment over 700 Catchments throughout Europe"

description: This dataset contains the data and results supporting the findings in the research article "Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment over 700 Catchments throughout Europe". For further details please contact: d.desantis@dimes.unical.it
DOI: 10.6084/m9.figshare.13302353
title: Raw data.xlsx

description: Raw data for bat activity, abundance of dung beetles and carabid beetles and field measures
DOI: 10.6084/m9.figshare.13302353.v1
title: Raw data.xlsx

description: Raw data for bat activity, abundance of dung beetles and carabid beetles and field measures
DOI: 10.21227/2yqv-8423
title: 2x

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the datasets "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer", ,DOI: https://dx.doi.org/yrb7-hp33 ,and "100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666 ,the BLDC motorIn this paper and dataset, the affect of using three different inverter configurations on the FOC control of BLDC isPFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.25403/upresearchdata.13281494.v1
title: The impact of financial development on foreign direct investment in South Africa

description: Secondary annual time-series data on distinct indices of financial development were obtained from the IMF and World Bank online databases. Stationarity tests on variables were conducted using the Augmented Dickey-Fuller approach.
DOI: 10.25403/upresearchdata.13281494
title: The impact of financial development on foreign direct investment in South Africa

description: Secondary annual time-series data on distinct indices of financial development were obtained from the IMF and World Bank online databases. Stationarity tests on variables were conducted using the Augmented Dickey-Fuller approach.
DOI: 10.21227/1at2-qp88
title: 200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the dataset "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer", DOI: https://dx.doi.org/yrb7-hp33 , BLDC motor is 8-pole, Star winding with rated rpm of 3 000 rpm at rated power of 1.88 kW.In this dataset, the same methodology is used but the BLDC motor is 8-pole ,Star winding with rated rpm of 14 400 rpm at rated power of 211 W.
DOI: 10.21227/hv2w-9048
title: 2x

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the datasets "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer", ,DOI: https://dx.doi.org/yrb7-hp33 ,and "100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666 ,the BLDC motorIn this paper and dataset, the affect of using three different inverter configurations on the FOC control of BLDC isPFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/6cmk-zc49
title: 200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the dataset "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer", DOI: https://dx.doi.org/yrb7-hp33 , BLDC motor is 8-pole, Star winding with rated rpm of 3 000 rpm at rated power of 1.88 kW.In this dataset, the same methodology is used but the BLDC motor is 8-pole ,Star winding with rated rpm of 14 400 rpm at rated power of 211 W.
DOI: 10.21227/gek8-b750
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, with the addition of SMO or flux observer gives the estimation of speed and the sensorless rotor position. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has included following , with analysis which can be drawn from seeing attached graphs -performance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 45 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemSinusoidal ExcitationCompensated System is after using SMO/Flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.There is related dataset, where also 8-pole Y winding motor is used but of different specification - "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/v7s8-pk56
DOI: 10.21227/vv39-bv57
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, with the addition of SMO or flux observer gives the estimation of speed and the sensorless rotor position. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has included following , with analysis which can be drawn from seeing attached graphs -performance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 45 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemSinusoidal ExcitationCompensated System is after using SMO/Flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.There is related dataset, where also 8-pole Y winding motor is used but of different specification - "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/v7s8-pk56
DOI: 10.21227/7v4k-xf74
title: 200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the dataset "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer", DOI: https://dx.doi.org/yrb7-hp33 , BLDC motor is 8-pole, Star winding with rated rpm of 3 000 rpm at rated power of 1.88 kW.In this dataset, the same methodology is used but the BLDC motor is 8-pole ,Star winding with rated rpm of 14 400 rpm at rated power of 211 W.
DOI: 10.21227/yk92-1n36
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, with the addition of SMO or flux observer gives the estimation of speed and the sensorless rotor position. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has included following , with analysis which can be drawn from seeing attached graphs -performance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 45 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemSinusoidal ExcitationCompensated System is after using SMO/Flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.There is related dataset, where also 8-pole Y winding motor is used but of different specification - "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/v7s8-pk56
DOI: 10.5281/zenodo.4297814
title: A Dataset of Science-Policy Collaborations from the International Geneva Ecosystem

description: <strong>This dataset contains data on the characteristics of science-policy collaborations (SPCs) as well as on the perceived value of the Geneva Science-Policy Interface as an intermediary actor facilitating collaborative processes. </strong> ---- In 2020, the Geneva Science-Policy Interface deployed a call for projects explicitly targeting SPCs. The purpose of the call for projects is to motivate policy actors and scientists to join their efforts and propose collaboration projects, select the most promising projects, and provide them with financial and strategic support. Projects are eligible only if both academia and policy actors are represented, and if policy actors are part of the International Geneva ecosystem. The call for projects is a structured and standardised process that allows for the collection of identical data across a sample of SPCs, thus enabling comparative analyses. Data is collected through crowdsourcing, coupling challenge-based data collection and survey data. The Geneva Science-Policy Interface uses the call for projects to collect data on characteristics of SPCs as well as on the perceived value of the GSPI as an intermediary actor facilitating collaborative processes.
DOI: 10.5281/zenodo.4297813
title: A Dataset of Science-Policy Collaborations from the International Geneva Ecosystem

description: <strong>This dataset contains data on the characteristics of science-policy collaborations (SPCs) as well as on the perceived value of the Geneva Science-Policy Interface as an intermediary actor facilitating collaborative processes. </strong> ---- In 2020, the Geneva Science-Policy Interface deployed a call for projects explicitly targeting SPCs. The purpose of the call for projects is to motivate policy actors and scientists to join their efforts and propose collaboration projects, select the most promising projects, and provide them with financial and strategic support. Projects are eligible only if both academia and policy actors are represented, and if policy actors are part of the International Geneva ecosystem. The call for projects is a structured and standardised process that allows for the collection of identical data across a sample of SPCs, thus enabling comparative analyses. Data is collected through crowdsourcing, coupling challenge-based data collection and survey data. The Geneva Science-Policy Interface uses the call for projects to collect data on characteristics of SPCs as well as on the perceived value of the GSPI as an intermediary actor facilitating collaborative processes.
DOI: 10.21227/x3pr-8921
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, with the addition of SMO or flux observer gives the estimation of speed and the sensorless rotor position. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has included following , with analysis which can be drawn from seeing attached graphs -performance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 45 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemSinusoidal ExcitationCompensated System is after using SMO/Flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.There is related dataset, where also 8-pole Y winding motor is used but of different specification - "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/v7s8-pk56