cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fntx8pt8fv.1
title: Skull and postcranium mophometric linear measurements of Felinae

description: These data are the raw measurements used in the paper "Pleistocene extintion and geographic singularity explain differences in global felid ensemble structure" by MMM & NPG (Evolutionary Ecology, Accepted). These are linear measurements, 31 cranial and 92 postcranial variables describing shape and functional proxies of the entire skeleton of extant felids. They were obtained with calipers to the nearest 0.1 mm. In the uploaded archive there are four sheets which contein the measurements of speciemens used for the different datasets described in the paper: i.e., "skull", "postcranium", "combined" and "combined and reduced" datasets. There are no missing values. In column "Sex": F = female, M = male and U = unknown sex. Given the large number of species, collections and variables that need to be listed we only mention here where to find all this information (all published papers). Illustration and definitions of variables are available in: - Morales M, Giannini NP (2010) Morphofunctional patterns in Neotropical felids: species coexistence and historical assembly. Biol J Linn Soc 100:711-724 - Morales M, Giannini NP (2013) Ecomorphology of the African felid ensemble: the role of the skull and postcranium in determining species segregation and assembling history. J Evol Biol 26:980–992 - the main text and Supplemental Material of Morales M, Giannini NP (Accepted) Pleistocene extintion and geographic singularity explain differences in global felid ensemble structure. Evolutionary Ecology. The list of Collections visited for measuring the specimens and their abbreviations are in "Steps for reproduce" With these data, we statistically demonstrate the existence of nine felid morphotypes at the global scale, whose occurrence is characteristic of different continental or biogeographic ensembles. Phylogenetically explicit analyses show that morphotypes from different felid lineages converged in different continents, but still ensembles remain distinct due to the fact that various morphotypes are missing in several of those ensembles. These quantitative analyses allowed for other qualitative analyses including fossil evidence wich suggests that most of the missing morphotypes were represented by species from those territories that went extinct during the Quaternary. Furthermore, reconstructing the hypothetical felid ensembles before Pleistocene extinctions rendered the continental felid faunas remarkably more similar to each other than they presently are, leaving their remaining, relatively minor differences to outstanding geographic singularities of each continental land mass.
DOI: 10.17632/k4jnbhjjsv.1
title: Building data for convex decomposition

description: Experiment data for convex decomposition of map building shapes.
DOI: 10.17632/gcdpsxd6d5.2
title: RNAi screening using HK-2 cells: insights into the roles of soluble ACE2 in SARS-CoV-2 infection. Yeung et al

description: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can cause acute respiratory disease and multiorgan failure. Finding human host factors that are essential for SARS-CoV-2 infection could facilitate the formulation of treatment strategies. Using a human kidney cell line—HK-2—that is highly susceptible to SARS-CoV-2, we performed a genome-wide RNAi screening and identified virus dependency factors (VDFs), which play regulatory roles in biological pathways linked to clinical manifestations of SARS-CoV-2 infection. Importantly, we discovered an overlooked role of a secretory form of SARS-CoV-2 receptor, soluble angiotensin converting enzyme 2 (sACE2), in SARS-CoV-2 infection. Further investigations revealed that SARS-CoV-2 exploits receptor-mediated endocytosis through interaction between its spike with sACE2 or sACE2-vasopressin via AT1 or AVPR1B, respectively. Our identification of new VDFs and the regulatory effect of sACE2 on SARS-CoV-2 infection shed new insights into pathogenesis and cell entry mechanism of SARS-CoV-2 as well as potential treatment strategies for COVID-19.
DOI: 10.17632/xy3ndcy8jd.1
title: North Wyke Farm Platform sheep production data

description: The North Wyke Farm Platform (Orr et al. 2016, doi: 10.1111/ejss.12350; Takahashi et al. 2018, doi: 10.1017/S1751731118000502) is an intensively instrumented research farm set up as a UK National Capability facility and managed by Rothamsted Research. Located in the heart of England's South West grassland region, it carries out a farm-scale experiment to investigate economic-environmental trade-offs inherent in different farming systems. The dataset provided here focuses on sheep production within each farm. For the current version (V1), it encompasses 2978 lambs and their mothers (741 ewes) that belonged to the platform over a 9-year period between 2011 and 2019.
DOI: 10.17632/5yg9fbyzks.1
title: Lower-Limb Robotic Exoskeleton with Energy Storage and Reversible Mechanisms Using Brain Signal Activation

description: In the current study, a lower limb exoskeleton is developed to assist or rehabilitate the physically challenged person who has lost their mobility due to SCI. In order to overcome energy-storing issues related to existing designs, the device uses a spring and camshaft system which is integrated with the robot structure to reduce the required energy by absorbing the bodyweight into spring potential energy and released by the cam design. Hence the motor load is reduced comparatively and also the torque compensation was improved. The control of the exoskeleton is carried out by analyzing brain signals (EEG) and eye movement signals (EOG), which are combined with the control system to perform daily activities such as walking, turning, and sit-stand.
DOI: 10.17632/9zbf28fgmm.1
title: Industrial wastewater in Kuwait

description: Industrial wastewater quality data from different industries in Kuwait.
DOI: 10.17632/pfmjz9s4pc.1
title: Homology model for human obscurin kinase domain 1 (OK1)

description: To generate a homology model of obscurin kinase domain 1, comparative modelling was performed using RosettaCM through the Rosetta server. Five models were produced, either representing the closed or open states of the kinase. The model with the highest degree of similarity to the closed state was selected for further analysis. To aid visual orientation, ATP (mol2 file downloaded from Zinc15) was modelled into the active site using Autodock Vina. The top-scoring model of 3 docking attempts was uploaded to Mendeley.
DOI: 10.17632/cx2mxszth9.1
title: γδ T_imaging data

description: Epigenetic modulation of immune synaptic-cytoskeletal networks potentiates γδ T cell-mediated cytotoxicity in lung cancer
DOI: 10.17632/892g33m7hh.2
title: The determinants of COVID-related perceptions

description: We used an online survey to estimate the impact of various sociodemographic factors on the COVID-related perceptions measured by stress, knowledge, and adoption of preventive behaviors. The working hypothesis was that the sociodemographic factors such as age, race, education level, family income, gender would influence the perception of COVID-19, and prediction models built on those factors would precisely forecast preventive behaviors. The survey questionnaire was built and sent out via red cap. The primary outcome of the study was COVID-related perceptions. The study participants were divided into categories based on several sociodemographic factors. Fifty US states were reorganized into nine regions based on the census bureau's recommendation. We also asked whether the participant was a healthcare worker (HCW) (yes vs. no), had a family member with COVID-19 (yes vs. no). We also divided the survey respondents into pre vs. post-vaccine launch, through November 1st, when Pfizer announced a successful vaccine trial and a new wave of pandemic hit the USA. A new variable was computed to estimate perceived threat based on age, HCW, chances of having severe COVID infection, state of COVID in his area. We used 'factor analyses' to abbreviate the metrics on stress, knowledge, preventive behavior, and perceived risk into normalized combined nominal scores (0-10), respectively. Prediction models for COVID-related perceptions were built using a generalized linear model. Variables such as age, race, education level, family income, gender, US region, HCW, healthcare access, and vaccine launch period, perceived threat were considered as potential predictors. Three thousand seven hundred thirty-four US-based adults responded to the survey link and were included in the study. The participants were predominantly white and females. Gender and age were the highest predictors of stress, while participants with better education and income performed better with knowledge related questions. Females, participants with higher education, and African-Americans or Hispanics had a better attitude to preventive behaviors than the remaining population. The GLM prediction models performed better compared to null-models for all three metrics of COVID-related perceptions.
DOI: 10.17632/kbzskd37zy.3
title: The factors determining the preference for COVID-19 Vaccine

description: A large section of the community is still skeptical about accepting COVID-vaccine. To understand the ground reality, we conducted a nationwide online survey study in the USA. The working hypothesis was that the sociodemographic factors such as age, race, education level, family income, gender would influence the decision of vaccine acceptance, and a prediction model built on those factors would precisely predict the vaccine acceptance. It was an anonymous survey, and we did not ask for any identifier. The survey questionnaire was built in Redcap and was primarily divided into three sections. The survey period was between 5/2020-01/2021. The primary outcome of the study was COVID-vaccine acceptance vs. hesitance. The study participants were divided into categories based on several sociodemographic factors. Fifty US states were regrouped into nine regions based on the census bureau's recommendation. We further asked whether the participant was a healthcare worker (HCW) (yes vs. no) and if they were satisfied with healthcare access (1-5 Likert scale). We divided the participants into pre vs. post-vaccine launch, through November 1st, since right after Pfizer announced a successful vaccine trial and a new COVID wave hit the USA. We also included questions to evaluate COVID-related knowledge and the source of COVID-related information. A new variable was computed to estimate perceived threat based on old age, HCW, chances of having severe COVID infection, state of COVID in his area. Several metrics of knowledge and perceived threat were consolidated into two continuous variables using factor analyses. Prediction models were built using binary backward logistic regression and neural networks. Nine variables- age, race, education level, family income, gender, US region, HCW, healthcare access, and vaccine launch period, were considered as potential predictors of vaccine acceptance. The US-based participants who completed all three sections of the survey and answered the key question of vaccine acceptance were considered eligible participants. Among 2978 eligible respondents, 81.1% of the participants indicated their willingness to accept the vaccine. Based on chi-square tests, all the predictors demonstrated an association with vaccine acceptance except the vaccine-launch period. Both the models identified age, education, and race as the top predictors, while the vaccine-launch period and gender were the least significant. People of middle-age, lower education, and black race were the most skeptical. Fear of side effects was the predominant cause of vaccine refusal affecting 84.2% of vaccine-hesitant vs. 51.0% of vaccine-compliant participants. The vaccine-complaint than the vaccine-hesitant group had more COVID-related knowledge, higher perceived threat, and better followed the CDC or other official health websites. There was an association between influenza and COVID-vaccine acceptance (χ2=316.6(df=4,N=2976),p&lt;0.001).
DOI: 10.17632/3w7g5fx65z.1
title: Filamentproduction using DOE here Taguchi Method

description: This dataset was created when producing PLA filament using a 3devo filament extruder. One dataset is for pure PLA, one for recycled PLA out of crushed and tried old prints. As DOE method a Taguchi analysis was used. Mittels dieser Analogie konnten bessere Parameter setze gefunden werden als vom Hersteller vorgegeben. However, within the experiment it turned out that by chance a very good parameter set could be found, Run 11, which led to a significantly better quality of the filament. Recycled filament is not yet suitable for high-quality use with this method - further research is necessary.
DOI: 10.17632/f3wjzb2xf6.1
title: Dataset for Experimental data-driven reaction network identification and uncertainty quantification of CO2-assisted ethane dehydrogenation over Ga2O3/Al2O3

description: We study ethane dehydrogenation's kinetics over a Ga2O3/Al2O3 catalyst in the absence and presence of CO2 and H2O. We identify the reaction network through the hypothesis of overall-reactions and reaction stoichiometry using judicious experiments by co-feeding combinations of C2H6, CO2, H2, and H2O and regeneration studies. We introduce an uncertainty quantification methodology, leveraging Bayesian inference, to assess the rate parameters' statistical confidence and trace the uncertainty sources and develop a data-driven kinetics model. The chief overall reactions include ethane dehydrogenation and hydrogenolysis, the reverse water-gas shift (RWGS), coke formation, and coke gasification. H2O retards the ethane dehydrogenation rate and increases the apparent activation energy from 52.4 to 177.3 kJ/mol. Both CO2 and H2O improve catalyst stability via the same mechanism: coke gasification. Raman characterization of the spent catalyst reveals nanocrystal graphite coke whose amount is reduced by H2O. The reaction-network identification and uncertainty quantification apply to other complex reaction systems.
DOI: 10.17632/ttjdj2zms4.1
title: Collective self-consumption in multi-tenancy environments

description: These dataset is required to fully reproduce the model presented in the paper "Collective self-consumption in multi-tenancy buildings: To what extent do the objectives influence the energy performance of the system?". The paper proposes a multiagent framework endowed with optimization algorithms to simulate a shared self-consumption system in a multi-tenancy building.
DOI: 10.17632/72658ppfnj.2
title: The Efficiency And Safety Of Oxygen-Supplemented Accelerated Transepithelial Corneal Crosslinking

description: Comparison of clinical outcomes between oxygen-enriched and room-air conditions SPSS Dataset
DOI: 10.17632/3c8vp77534.1
title: Coal Quality Determination by Image Analysis (Chromaticity Analysis)

description: This data includes 35 samples proximate analysis results, calorific values, RGB color coordinates, and Chromaticity values of 35 Lignite Samples. Hypothesis of this research "can coal quality parameters be estimated by using surface color properties and chromaticity values?
DOI: 10.17632/tj7zck96nm.1
title: Small-ruminants farmers BSC Business Performance Indicators

description: Data from the iSAGE project. Balanced Scorecard indicators of farm performance an economic sustainability. Stata .dta file.
DOI: 10.17632/39yhpfp7ct.1
title: InsularTTDP

description: This data is for model validation purposes
DOI: 10.17632/hp3pdpjgrs.1
title: The COVID-related perceptions in India and the USA : a comparative analysis

description: We used an online survey for the comparative analyses of various metrics of COVID-related perceptions such as stress, knowledge, and preventive behaviors between India and the US based participants. The working hypothesis was that the Indians would have higher COVID-related stress, perceived threat, and lesser knowledge, compared to the Americans. We further hypothesized that, higher perceived threat would encourage Indians than Americans, to better adhere to the preventive guidelines as well as better accept hydroxychloroquine and COVID-19 vaccine. The survey questionnaire was built and sent out via red cap. The primary outcome of the study was the difference in knowledge, stress, preventive behaviors, and perceived threat between Indian and the US based participants. The study participants were divided into categories based on several sociodemographic factors such as age, education level, gender, and family income. We also asked whether the participant was a healthcare worker (HCW) (yes vs. no), had a family member with COVID-19 (yes vs. no). A new variable was computed to estimate perceived threat based on age, HCW, chances of having severe COVID infection, state of COVID in his area. We used 'factor analyses' to abbreviate the metrics on stress, knowledge, preventive behavior, and perceived risk into normalized combined nominal scores (0-10), respectively. We received 962 responses and among them 242 and 531 participants were from the India or the USA, respectively. The Indian participants were predominantly males and young, while the US based participants were mostly females and middle-aged. Indian participants had lower knowledge, higher stress and acceptance of preventive guidelines, compared to the Americans.
DOI: 10.17632/8b3pvhz697.1
title: Data for: Experimental Study on Convection Heat Transfer Enhancement of Channel-Flow with Piezoelectric Fan

description: This data set includes raw data used in the journal paper: Experimental Study on Convection Heat Transfer Enhancement of Channel-Flow with Piezoelectric Fan.
DOI: 10.17632/wdck4m69h4.2
title: Data for: Enhancement of Channel-Flow Convection Heat Transfer using Piezoelectric Fans

description: This dataset includes the experimental and numerical results of the article: Enhancement of Channel-Flow Convection Heat Transfer using Piezoelectric Fans. The dataset specifically contains the processed values of average heat transfer coefficients for Figs. 4, 5, 9, 13.
DOI: 10.17632/bkpryfwxs9.3
title: Apatite fission track, apatite U-Pb, and electron microprobe data from Rae craton, Canada

description: Data supporting two samples are provided in this repository and files herein contain AFT age and length data, U-Pb apatite data, and electron microprobe (EPMA) data (in oxide weight % and apfu) from the Rae craton, Canadian Shield, Canada. Sample 11JP322B (aka z10907, GSC geochronology lab #, or GeoSep Services (GSS) internal sample number: 334-03) and 14NK-C062 (GSS: 248-15) dated via the LA-ICP-MS apatite fission track method. Files also include age/length grain spatial locations for matching replicate age/length grain EPMA analyses. Refer to http://dx.doi.org/10.17632/wwrkpr9gcx.5 for additional information. Note: sample z10907/11JP322B was dated in two separate aliquots from project 334 and later project 390. The latter project underwent an "age-length pairing" (ALP) procedure where lengths were only measured from grains counted for age. These grains were then probed twice directly, once in/near the laser ablation spot area from AFT analysis, and once on another distal spot on the grain to assess the potential for isotopic zonation. In the length data tab for the ALP sample, the grain # corresponds to (for example) grain 1 with tracks 1 to 5 belonging to that grain, i.e., age grain 1. Therefore each age grain has a corresponding date and N number of tracks directly associated with it. This approach negates the need for grain locations to be recorded. The supplementary data files are Microsoft Excel .xlsx format and contained in a compressed .zip folder with a directory structure and contents as follows: Folder “Raw-AFT-UPb” contains the raw LA-ICP-MS apatite fission track age and length data. The raw apatite U-Pb age data, blanks, corrections, etc. are also included in a separate sheet tab for each sample. All AFT samples are referred to by their analytical number, e.g. 334-03 and their sample number z10907 (11JP322B). For all other data in the “EPMA” and “Grain-Locations” folders each grain is referred to by analytical number only, and whether it is an age or length grain. Folder “EPMA” contains the electron microprobe data with the OH estimation included in weight percent oxide or atom per formula unit format. These data can be converted to apfu and their respective rmr0 values determined using either the Carlson et al. (1999) or Ketcham et al. (2007) equations (see main text for details). Folder “Grain-Locations” contains the x,y coordinates for each age and length grain that was probed for each sample. The grains are flagged if they are duplicate measurements, i.e. the EPMA measurement for age grain 1 is also the same measurement for length grain 15. This is determined by distance of 0 to 10 microns (green) and 10 to 50 microns (orange). HeFTy model (Ketcham, 2005) input files with float values for all AFT data, e.g. Ns, A, Pcorr, error, U, Dpar, etc. are also included in the "HeFTyFiles" folder. Interpreted files for multikinetic modeling also provided.
DOI: 10.17632/ncym99n4dc.1
title: Data for "Lithium coordination and diffusion coefficients of PEGylated ionic liquid and lithium salt blends: A molecular dynamics simulation study"

description: The folder "Pulsed field gradient stimulated echo NMR spectroscopy" contains PFG-STE experimental data for the [PEGmim][Tf2N] ionic liquid and the [PEGmim][Tf2N]+LiTf2N 1:1 molar ratio blend at different temperatures. "g (G/cm)" is the strength of the applied gradient, "delta (s)" is the duration of the gradient pulse, and "Delta (s)" is the diffusion time (the separation between the gradient pulses). "I" is the normalized attenuated echo intensity. The folder also contains files with self-diffusion coefficients of the [PEGmim]+ cation at different temperatures, calculated using the Stejskal−Tanner equation. The folders "Radial distribution function" and "Coordination number function" contain molecular dynamics data for [PEGmim][Tf2N] and [PEGmim][Tf2N]+LiTf2N blend at 300, 315, and 350 K.
DOI: 10.17632/ht52gbr4gk.1
title: Japanese Preboundary lengthening for Data in Brief
DOI: 10.17632/72tr8jj8y4.1
title: RNAi screening using HK-2 cells: insights into the roles of soluble ACE2 in SARS-CoV-2 infection. Yeung et al

description: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can cause acute respiratory disease and multiorgan failure. Finding human host factors that are essential for SARS-CoV-2 infection could facilitate the formulation of treatment strategies. Using a human kidney cell line—HK-2—that is highly susceptible to SARS-CoV-2, we performed a genome-wide RNAi screening and identified virus dependency factors (VDFs), which play regulatory roles in biological pathways linked to clinical manifestations of SARS-CoV-2 infection. Importantly, we discovered an overlooked role of a secretory form of SARS-CoV-2 receptor, soluble angiotensin converting enzyme 2 (sACE2), in SARS-CoV-2 infection. Further investigations revealed that SARS-CoV-2 exploits receptor-mediated endocytosis through interaction between its spike with sACE2 or sACE2-vasopressin via AT1 or AVPR1B, respectively. Our identification of new VDFs and the regulatory effect of sACE2 on SARS-CoV-2 infection shed new insights into pathogenesis and cell entry mechanism of SARS-CoV-2 as well as potential treatment strategies for COVID-19.