cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5945974.v1
title: Additional file 1: of Facile One-Step Sonochemical Synthesis and Photocatalytic Properties of Graphene/Ag3PO4 Quantum Dots Composites

description: Figure S1. TEM images of rGO/Ag3PO4 QDs (stirring method). Figure S2. The plots of (ÎąhÎ˝)2 versus Eg of Ag3PO4 QDs, R-1.5, R-2, R-2.3, R-2.5, and R-3. Figure S3. (a) Photocatalyticdegradation of MB by R-2.3 prepared by different mass of surfactant and (b) apparent rate constants (k) of samples for photocatalytic degradation of MB. Figure S4. (a) Photocatalytic degradation of MB, MO, and RhB byR-2.3, (b) apparent rate constants (k) of sample for photocatalytic degradation of dyes. (ZIP 12230Â kb)
DOI: 10.17632/3dc7n482rt.1
title: Raw dataset with accelerometer, gyroscope, magnetometer, location and environment data for activities without motion

description: This raw dataset presents the data related to the sleeping, watching TV, and driving captured with the data acquired from accelerometer, gyroscope, magnetometer, location, and environment available in off-the-shelf mobile devices.
DOI: 10.17632/trspvdtt8n.1
title: 2017-12 - Combined SMR Systems GFA Final

description: There seems a clear need for a methodology for evaluating the claims of ‘new’ reactor systems at a strategic level, to ensure that the claims of ‘good’ for the systems are considered alongside the ‘bad’ and the ‘ugly’. This should extend to examining which are the energy futures which will extract value from any given system’s characteristics, and which futures will reduce or remove a system’s attributes as drivers for deployment. The common method of comparing complex systems is to use Multi-Attribute Decision Analysis (MADA). In this method a group of attributes are defined to cover the main parameters of the systems, and scores are allocated depending on how well or badly a system performs. Not all parameters will be deemed to carry the same importance, so the ‘scores’ which have been compiled are ‘weighted’ by a set of ‘weighting values’, and the ‘weighted scores’ added to provide an overall ‘consolidated score’ for the particular system. In 2012-2013, the National Nuclear Laboratory developed a MADA system to examine nuclear power systems, based on 42 metrics derived from those used by the Generation IV International Forum. These were subsequently divided into seven groups (Cost, PRPP, Safety, Strategic, Deployability, Sustainability, Waste) and used to assess advanced reactor systems. The approach suffered from two main disadvantages: 1. The use of a MADA with a large number of metrics makes the result very difficult to communicate meaningfully, even to committed stakeholders – there is often a shared understanding by ‘those that were in the room for the analysis’, which fails to be transferable to others. 2. The suitability of a reactor system depends very strongly on ‘the world in which it must operate’. For example, high scores for uranium economy (e.g. fast reactors) should be highly weighted in a ‘uranium scarce’ future, but will not feature in a ‘uranium plentiful and cheap’ future. Subsequently, joint working by the Dalton Nuclear Institute, IDM and NNL addressed the weaknesses of the MADA approach to evolve the Generic Feasibility Assessment technique. The key change was the recognition that, in the UK and other states with well-established nuclear programmes, safety, environmental and proliferation/security attributes are all covered by well-developed regulatory regimes – so that reactor system deployment is not about “how safe, secure, and environmentally benign” a system is – but rather how much time and effort must be expended to allow the system to conform with this tried and tested regulatory framework. Generic Feasibility Assessment has been applied to several advanced reactor systems (see Nuclear System Assessment). GFA was also used on the assessment of Small and Modular Reactors using Emerging Technologies which was carried out for the Department of Energy and Climate Change by the National Nuclear Laboratory, Integrated Decision Management Ltd and Dalton in 2015/16 (see Techno-Economic Assessment).
DOI: 10.17632/vtx583krxt.1
title: Raw dataset with acoustic data for environments - Part 4

description: This raw dataset presents the data related to the kitchen, and living room environments captured with the data acquired from microphone available in off-the-shelf mobile devices.
DOI: 10.17632/tmrs92j7pv.25
title: COVID-19: Time Series Datasets India versus World

description: This dataset consists of COVID-19 time series data of India since 24th March 2020. The data set is for all the States and Union Territories of India and is divided into five parts, including i) Confirmed cases; ii) Death Count; iii) Recovered Cases; iv) Temperature of that place; and v) Percentage humidity in the region. The data set also provides basic details of confirmed cases and death count for all the countries of the world updated daily since 30 January 2020. The end user can contact the corresponding author (Rohit Salgotra : nicresearchgroup@gmail.com) for more details. . [Dataset is updated Twice a Week] The Authors can Refer to and CITE our latest Papers on COVID: 1. Rohit Salgotra, Mostafa Gandomi, Amir H Gandomi. "Evolutionary Modelling of the COVID-19 Pandemic in Fifteen Most Affected Countries" Chaos, Solitons \& Fractals: (2020). https://doi.org/10.1016/j.chaos.2020.110118 2. Rohit Salgotra, Mostafa Gandomi, Amir H Gandomi. "Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming" Chaos, Solitons \& Fractals: (2020). https://doi.org/10.1016/j.chaos.2020.109945
DOI: 10.17632/bmgn76p7b6.1
title: Raw dataset with acoustic data for environments - Part 3

description: This raw dataset presents the data related to the hall environment captured with the data acquired from microphone available in off-the-shelf mobile devices.
DOI: 10.17632/skm88ynyhv.3
title: An elbow exoskeleton for haptic feedback made with a direct drive hobby motor

description: A direct-drive motor is one of the simplest mechanisms to cause a mechanical joint to move. Specifically, a brushless direct current (BLDC) motor with no gearing produces a low parasitic torque due to its backdrivability and low inertia, which is ideal for some applications such as wearable systems. While capable of operating with a higher power density than brushed motors, BLDC motors require accurate position feedback to be controlled via vector control at slow speeds. The MotorWare™ library from Texas Instruments (TI), which is designed to run with a C2000 microcontroller, is written to run BLDCs. However, the code was written to run the motor continuously with an incremental encoder and requires further engineering to be used at low speeds, for example, in an exoskeleton. In this paper, we provide custom code to modify the software provided by TI so that the motor can provide a controlled torque at low speeds, code to enable the microcontroller to communicate with a computer for high-level commands and data storage, and procedures to build the hardware for a simple arm exoskeleton that can provide haptic feedback to the wearer. The supplementary design files included are: 1) CAD_Files.zip, 2) CCS_codes.zip, 3) Frame_drawings.pdf, and 4) Processing_codes.zip.
DOI: 10.17632/yczyfrx2rp.1
title: Raw dataset with acoustic data for environments - Part 2

description: This raw dataset presents the data related to the gym, and classroom environments captured with the data acquired from microphone available in off-the-shelf mobile devices.
DOI: 10.6084/m9.figshare.5945911
title: Additional file 2 of A searchable database of medical education objectives â creating a comparable gold standard

description: This file can be bulk uploaded into a blank mysql database to recreate this medical objective database with all content. (TXT 13173Â kb)
DOI: 10.6084/m9.figshare.5945911.v1
title: Additional file 2 of A searchable database of medical education objectives â creating a comparable gold standard

description: This file can be bulk uploaded into a blank mysql database to recreate this medical objective database with all content. (TXT 13173Â kb)
DOI: 10.17632/nzcrfhgfh4.1
title: COVID-19 Pandemic: A Dataset from Khyber Pakhtunkhwa, Pakistan

description: This dataset demonstrates the fear of Coronavirus (COVID-19) among the people of Khyber Pakhtunkhwa (Pakistan), their preventive behaviour, mental health condition, and level of anxiety during the pandemic. To gauge these constructs, a questionnaire was developed with the help of various scales – Fear of COVID-19 Scale (FCV-19S), Positive Mental Health Scale (PMHS), and General Anxiety Disorder Scale (GAD). At the time of data collection, the COVID-19 cases were emerging rapidly in the country due to which the KPK province was also facing lock-down and other mobility restrictions to limit the spread of viral infection. Keeping in view the prevalent emergency conditions, the research tool was developed in Google form and disseminated online for the collection of data. The informed consent of the respondents was obtained electronically, and they participated voluntarily in this survey research. Social media apps like Facebook, WhatsApp, LinkedIn, and personal contacts were also used for speedy collection of data. All the questions in the questionnaire were mandatory and the respondents could not send their responses by skipping any of them, so there is no missing value in the dataset. A total of 501 responses were received out of which 208 were females. For the convenience of the participants, every question in the questionnaire was translated into the Urdu language. All the responses were automatically saved online into a .xlsx spreadsheet and later that data was converted to digitized form by developing a coding frame. There are two main sections in this dataset, first is about the socio-demographic information (gender, age, marital status, employment status, area of residence and education) of the participants and the second demonstrates the fear, mental health, preventive behaviour, and anxiety while in the second section, the responses were rated on Likert scale. This dataset could be beneficial to the researchers and policymakers as they can get further insight to develop better skills and practices from a rapidly evolving situation.
DOI: 10.6084/m9.figshare.5945896
title: Additional file 1 of A searchable database of medical education objectives â creating a comparable gold standard

description: An excel file with standardized format to submit new objectives to the database. (XLSX 25Â kb)
DOI: 10.17632/yjp2cdyrnj.1
title: Raw dataset with acoustic data for environments - Part 1

description: This raw dataset presents the data related to the bar, and bedroom environments captured with the data acquired from microphone available in off-the-shelf mobile devices.
DOI: 10.6084/m9.figshare.5945896.v1
title: Additional file 1 of A searchable database of medical education objectives â creating a comparable gold standard

description: An excel file with standardized format to submit new objectives to the database. (XLSX 25Â kb)
DOI: 10.17632/w59xtmrpk4.1
title: Data for Data Science for Engineering Design: State of the Art and Future Directions

description: The dataset collects the paper used in the review. The database has the following structure. - Reference Number - scopusID - Authors - Year of Publication - Name of the Journal or of the Conference - Title - Paper type (Journal or conference paper) - Number of Citations - Lexicon Type - Entry - ED Lexicon Class - DS Lexicon Class
DOI: 10.17632/pkdr9pbkf4.1
title: Influenza Vaccination Al Ahsa KSA

description: Influenza vaccination coverage, perceptions on safety and efficacy; confidence
DOI: 10.17632/cwncxrfksj.2
title: 1D to 3D multi-stable architectedmaterials with zero Poisson's ratio and controllable thermal expansion

description: Multi-stable mechanicalmetamaterialswith unprecedentedmechanical/physical properties have attracted great interests due to their functional applications for advanced materials and devices. However, the original curved/ tilted bistable snapping segments inmost of those existingmulti-stablemechanicalmetamaterials cause unequal bistability/multi-stability. The relative thicker supporting segments can't provide complete constraints at the end of snapping segments using single parent material. To achieve completely symmetric bistable/multi-stable mechanism, an innovative design strategy is proposed based on interlocking assembly method with multimaterials and compressed buckled snapping segments for bistable units. Theoretical analysis, numerical simulations and experimental verifications are used to show completely symmetric bistability/multi-stabilitywith negative stiffness. The multi-stable mechanical metamaterials have robust shape-reconfigurability and zero Poisson's ratio with large recoverable deformation. Geometric and material gradients design are carried out to control deterministic deformation sequencewith rich programmability. Theoretical and numerical results reveal that tunable 1D to 3D large positive/zero/negative isotropic or anisotropic thermal expansions of single 1D to 3D multi-stable metamaterials can be achieved, respectively. This work suggests the rational designed metamaterials with multi-abnormal-index and the potential applications of multi-functional metamaterials.
DOI: 10.6084/m9.figshare.5945863
title: Additional file 3: of Exploring cued and non-cued motor imagery interventions in people with multiple sclerosis: a randomised feasibility trial and reliability study

description: Baseline characteristics for 15 participants. (XLSX 548 kb)
DOI: 10.6084/m9.figshare.5945863.v1
title: Additional file 3: of Exploring cued and non-cued motor imagery interventions in people with multiple sclerosis: a randomised feasibility trial and reliability study

description: Baseline characteristics for 15 participants. (XLSX 548 kb)
DOI: 10.6084/m9.figshare.5945851
title: Additional file 9: of Factors driving metabolic diversity in the budding yeast subphylum

description: Table S7. Assigned functional categories used statistically to analyze the similarities between carbon sources. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.5945851.v1
title: Additional file 9: of Factors driving metabolic diversity in the budding yeast subphylum

description: Table S7. Assigned functional categories used statistically to analyze the similarities between carbon sources. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.5945833
title: Additional file 8: of Factors driving metabolic diversity in the budding yeast subphylum

description: Table S6. Number of positive, negative, and random associations among carbon utilization traits. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.5945833.v1
title: Additional file 8: of Factors driving metabolic diversity in the budding yeast subphylum

description: Table S6. Number of positive, negative, and random associations among carbon utilization traits. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.5945818
title: Additional file 7: of Factors driving metabolic diversity in the budding yeast subphylum

description: Table S5. Pairwise association quantifications among traits and isolation environments. The â Directionâ column indicates whether an isolation/trait association was classified as positive, negative, or random. The expected value is the average value from the randomized data (n = 10,000) (XLSX 111 kb)
DOI: 10.6084/m9.figshare.5945818.v1
title: Additional file 7: of Factors driving metabolic diversity in the budding yeast subphylum

description: Table S5. Pairwise association quantifications among traits and isolation environments. The â Directionâ column indicates whether an isolation/trait association was classified as positive, negative, or random. The expected value is the average value from the randomized data (n = 10,000) (XLSX 111 kb)
DOI: 10.6084/m9.figshare.5945803
title: Additional file 9: of Epigenetic regulation of placental gene expression in transcriptional subtypes of preeclampsia

description: Table S6. Significant gene expression correlations associated with the significantly differentially methylated sites in transcriptional cluster 2 placentas versus transcriptional cluster 1 placentas. (XLSX 259Â kb)
DOI: 10.6084/m9.figshare.5945803.v1
title: Additional file 9: of Epigenetic regulation of placental gene expression in transcriptional subtypes of preeclampsia

description: Table S6. Significant gene expression correlations associated with the significantly differentially methylated sites in transcriptional cluster 2 placentas versus transcriptional cluster 1 placentas. (XLSX 259Â kb)
DOI: 10.6084/m9.figshare.5945797
title: Additional file 8: of Epigenetic regulation of placental gene expression in transcriptional subtypes of preeclampsia

description: Table S5. Significantly differentially methylated sites in transcriptional cluster 5 placentas versus transcriptional cluster 1 placentas. (XLSX 38Â kb)
DOI: 10.6084/m9.figshare.5945797.v1
title: Additional file 8: of Epigenetic regulation of placental gene expression in transcriptional subtypes of preeclampsia

description: Table S5. Significantly differentially methylated sites in transcriptional cluster 5 placentas versus transcriptional cluster 1 placentas. (XLSX 38Â kb)
DOI: 10.6084/m9.figshare.5945788
title: Additional file 5: of Factors driving metabolic diversity in the budding yeast subphylum

description: Table S4. Species isolation environment matrix. A value of 1 means the species was isolated from that environment, while a value of 0 means the species was not isolated from that environment. (XLSX 94 kb)
DOI: 10.6084/m9.figshare.5945788.v1
title: Additional file 5: of Factors driving metabolic diversity in the budding yeast subphylum

description: Table S4. Species isolation environment matrix. A value of 1 means the species was isolated from that environment, while a value of 0 means the species was not isolated from that environment. (XLSX 94 kb)
DOI: 10.6084/m9.figshare.5945773
title: Additional file 4: of Factors driving metabolic diversity in the budding yeast subphylum

description: Table S3. Over 50% of individual traits do not evolve under a Brownian model of evolution. To test for a phylogenetic signal in our data, we calculated D, a measure of dispersion used for binary traits that tests for a significant departure from both random associations (D = 1) and the clumping expected under a Brownian model of evolution (D = 0). Values that significantly differ from 0 suggest a trait is not evolving under Brownian evolution. The function calculates randomized data sets (n = 1000) for both departures from random distributions and patterns expected under a Brownian model of evolution. To test for phylogenetic randomness, the function randomly shuffles trait values relative to the tips of the phylogeny. To test for evolution under a Brownian model, the function evolves a continuous trait along the phylogeny under a Brownian process, and then it is converted to a binary trait using a threshold that reproduces the relative prevalence of the observed trait. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.5945773.v1
title: Additional file 4: of Factors driving metabolic diversity in the budding yeast subphylum

description: Table S3. Over 50% of individual traits do not evolve under a Brownian model of evolution. To test for a phylogenetic signal in our data, we calculated D, a measure of dispersion used for binary traits that tests for a significant departure from both random associations (D = 1) and the clumping expected under a Brownian model of evolution (D = 0). Values that significantly differ from 0 suggest a trait is not evolving under Brownian evolution. The function calculates randomized data sets (n = 1000) for both departures from random distributions and patterns expected under a Brownian model of evolution. To test for phylogenetic randomness, the function randomly shuffles trait values relative to the tips of the phylogeny. To test for evolution under a Brownian model, the function evolves a continuous trait along the phylogeny under a Brownian process, and then it is converted to a binary trait using a threshold that reproduces the relative prevalence of the observed trait. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.5945767
title: Additional file 6: of Epigenetic regulation of placental gene expression in transcriptional subtypes of preeclampsia

description: Table S4. Significantly differentially methylated sites in transcriptional cluster 3 placentas versus transcriptional cluster 1 placentas. (XLSX 1669Â kb)
DOI: 10.6084/m9.figshare.5945767.v1
title: Additional file 6: of Epigenetic regulation of placental gene expression in transcriptional subtypes of preeclampsia

description: Table S4. Significantly differentially methylated sites in transcriptional cluster 3 placentas versus transcriptional cluster 1 placentas. (XLSX 1669Â kb)
DOI: 10.6084/m9.figshare.5945752
title: Additional file 2: of Combined value of left ventricular ejection fraction and the Model for End-Stage Liver Disease (MELD) score for predicting mortality in patients with acute coronary syndrome who were undergoing percutaneous coronary intervention

description: Subgroup analysis according to age (Tables S9-S11). (ZIP 27 kb)
DOI: 10.6084/m9.figshare.5945752.v1
title: Additional file 2: of Combined value of left ventricular ejection fraction and the Model for End-Stage Liver Disease (MELD) score for predicting mortality in patients with acute coronary syndrome who were undergoing percutaneous coronary intervention

description: Subgroup analysis according to age (Tables S9-S11). (ZIP 27 kb)
DOI: 10.6084/m9.figshare.5945746
title: Additional file 2: of Factors driving metabolic diversity in the budding yeast subphylum

description: Table S2. All pairwise trait associations. The â Directionâ column indicates whether a trait association was classified as a positive, negative, or random association. The expected value is the average value from the randomized data (n = 10,000). (XLSX 75 kb)
DOI: 10.6084/m9.figshare.5945746.v1
title: Additional file 2: of Factors driving metabolic diversity in the budding yeast subphylum

description: Table S2. All pairwise trait associations. The â Directionâ column indicates whether a trait association was classified as a positive, negative, or random association. The expected value is the average value from the randomized data (n = 10,000). (XLSX 75 kb)
DOI: 10.6084/m9.figshare.5945743
title: Additional file 1: of Combined value of left ventricular ejection fraction and the Model for End-Stage Liver Disease (MELD) score for predicting mortality in patients with acute coronary syndrome who were undergoing percutaneous coronary intervention

description: Subgroup analysis according to gender (Tables S6-S8). (ZIP 27 kb)
DOI: 10.6084/m9.figshare.5945743.v1
title: Additional file 1: of Combined value of left ventricular ejection fraction and the Model for End-Stage Liver Disease (MELD) score for predicting mortality in patients with acute coronary syndrome who were undergoing percutaneous coronary intervention

description: Subgroup analysis according to gender (Tables S6-S8). (ZIP 27 kb)
DOI: 10.6084/m9.figshare.5945740
title: Additional file 1: of Factors driving metabolic diversity in the budding yeast subphylum

description: Table S1. Growth validation of 240 yeasts on four carbon sources. Growth on a carbon source was scored as 1, while no growth was scored as 0. Cases where our data did not match The Yeasts: A Taxonomic Study are indicated with an X. A summary, including the counts of mismatched data, proportion of mismatches, and percentage correct, is given below each column. (XLSX 17 kb)
DOI: 10.6084/m9.figshare.5945740.v1
title: Additional file 1: of Factors driving metabolic diversity in the budding yeast subphylum

description: Table S1. Growth validation of 240 yeasts on four carbon sources. Growth on a carbon source was scored as 1, while no growth was scored as 0. Cases where our data did not match The Yeasts: A Taxonomic Study are indicated with an X. A summary, including the counts of mismatched data, proportion of mismatches, and percentage correct, is given below each column. (XLSX 17 kb)