cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/794j77yz6h.1
title: Research Data: Coupling daylighting and energy evaluations at different climate regions

description: This repository contains the 3D models of the case study used for the analyses carried out in the investigation. The case study consisted of a residential space with a window placed at the centre of the single external wall to provide outside views. Different design characteristics of a room space are assessed: 10 Window-to-Wall-Ratios, four cardinal orientations, a shallow and a deep room, and three climate regions (arid, dry tropic, and temperate). Coupled daylighting and energy simulations were run with DIVA-for-Grasshopper, a Radiance based software, and EnergyPlus. This repository also contains the *.xlsx file that reports the simulation results of the 240 design options, derived from the combination of the mentioned design variables. Daylighting metrics (non-daylit, fully daylit, partially daylit, and over lit areas), solar gains, and energy indicators (total energy use: lighting + cooling + heating) are available at the spreadsheet. This original dataset was used to perform statistical analyses with the following objectives: a) find strong relationships among all variables studied, b) determine the best way to group and report the information, c) propose design guidelines to balance daylight with energy, and d) derive specific illuminance targets according to the climatic conditions. From the statistical analysis, the main findings to interpret the dataset: - Optimal cases are highlighted with yellow shadows - Outliers are depicted in cursive red numbers. - Worst-case scenarios are emphasized in bold red numbers (please refer to the 'run' column). These are the cases that meet at least one of the following scenarios: a) an over lit area of 100%, b) a non-daylit area higher than 50%, c) the highest cooling energy use, and d) the highest TAE result.
DOI: 10.17632/k72vc6vxyv.1
title: Top-down mass spectrometry dataset for histones extracted from mouse brain tissue

description: Raw data and analysis results for mouse brain histones by top-down mass spectrometry. Original publication of the full study is at https://pubs.acs.org/doi/full/10.1021/acs.jproteome.6b00694 Only one representative file is uploaded here.
DOI: 10.17632/c8x5tpvzmk.1
title: Location-based Tweets in Africa on COVID-19 Pandemic

description: The dataset describes 826,412 raw tweet posts matching COVID-19 and Lockdown between February 14, 2020, to August 14, 2020, from selected five African countries, including Nigeria, South Africa, Algeria, Egypt Sudan. It was cleaned to comprise 619,203 unique tweets relevant to researchers in data science, natural language processing, social science, informatics, tourism, and infodemiology.
DOI: 10.17632/243ft29b7m.1
title: Polymorphisms of the genes ABCG2, SLC22A12 and XDH and their relation with hyperuricemia and hypercholesterolemia in Mexican young adults

description: 860 Mexicans between 18 and 25 years of age were genotyped for the ABCG2 (rs2231142), SLC22A12 (rs476037), and XDH (rs1042039) polymorphisms, as predisposing factors of hyperuricemia. Biochemical parameters were measured by spectrophotometry, while genetic polymorphisms were analyzed by real-time PCR. An analysis of the risk of hyperuricemia in relation to the variables studied was carried out using a logistic regression.
DOI: 10.17632/mgbcj9n89x.1
title: Annex to paper "On the capabilities of Cellular Automata-based MapReduce model in Industry 4.0"

description: Detailed research data for the article "On the capabilities of Cellular Automata-based MapReduce model in Industry 4.0" of the Journal of Industrial Information Integration, Elsevier are presented in Annex.
DOI: 10.17632/vcn2hfhwvm.1
title: Genome Mining Data of Bacillus cabrialesii TE3T

description: This dataset contains (1) the Bacillus cabrialesii TE3T genome, (2) the Bacillus cabrialesii TE3T genome-mining results and (3) results and BGC sequences used to construct BGC networking of Bacillus cabrialesii TE3T BGCs through BiG-SCAPE.
DOI: 10.17632/699br65xhx.1
title: REST2 MD clusters data to accompany "Ligand based conformational space studies of the mu-opioid receptor"

description: System coordinates (gro files) and clustered trajectory frames (xtc files) from REST2 (replica exchange with solute tempering) molecular dynamics simulations of the mu-opioid receptor (MOR) embedded in a POPC membrane, surrounded by water and ions, in complex with the ligands BU72 (B72), morphine (MOP), naloxone benzoylhydrazone (NBH) and naloxone (NLX). gromacs-4.6.7 was used to perform the simulations.
DOI: 10.6084/m9.figshare.13490625
title: A CO2 emissions dataset of 50 Chinese cities.xlsx

description: A CO<sub>2</sub> emissions dataset of 50 Chinese cities, 2000-2016
DOI: 10.6084/m9.figshare.13516301
title: PPNN full data (feather format)

description: Full dataset for https://journals.ametsoc.org/view/journals/mwre/146/11/mwr-d-18-0187.1.xml in feather format, which can be read in multiple languages.
DOI: 10.17632/tw3458kc84.1
title: Supplementary Figure. TikTok Duetting Feature for Dermatologists

description: Frame A: The interface while watching a video on TikTok. For a TikTok user to duet a video, they click the arrow in the bottom right-hand corner of the screen, referred to as the "share" button. Frame B: Click the second option at the bottom of the screen titled "duet". Frame C: The TikTok user will then be prompted to a screen showing the original video alongside the user's camera view. To begin recording, click on the red circle "record button" at the bottom of the screen. When finished recording release finger from the record button. The user will then confirm their duet post. Frame D: The final product of a duet. Within this example, Dr. Muneeb Shah, DO, dermatology resident physician, duets a viral video pertaining to hidradenitis suppurativa. His duet explains the diagnosis and appropriate treatment plan.
DOI: 10.17632/ghvrstw7pw.1
title: SAFmaps - Eucalyptus

description: Developed in the context of SAFmaps containing the georeferenced database and a case study report on SAF production based on the FT-SPK / eucalyptus pathway. SAFmaps is a database platform with information on the potential of promising feedstock for the production of Sustainable Aviation Fuels (SAF) in Brazil. SAFmaps includes a database of different feedstocks, background information and assessment results.
DOI: 10.17632/jpwggmp9zy.1
title: SAFmaps - Soybean

description: Developed in the context of SAFmaps containing the georeferenced database and a case study report on SAF production based on the HEFA-SPK / soybean pathway. SAFmaps is a database platform with information on the potential of promising feedstock for the production of Sustainable Aviation Fuels (SAF) in Brazil. SAFmaps includes a database of different feedstocks, background information and assessment results.
DOI: 10.21258/1767535
title: Swiss national forest inventory - Result table No. 891938
DOI: 10.17632/t59v47sshp.1
title: SAFmaps - Palm oil

description: Developed in the context of SAFmaps containing the georeferenced database and a case study report on SAF production based on the HEFA-SPK / palm oil pathway. SAFmaps is a database platform with information on the potential of promising feedstock for the production of Sustainable Aviation Fuels (SAF) in Brazil. SAFmaps includes a database of different feedstocks, background information and assessment results.
DOI: 10.17632/dp4y36fjw5.1
title: SAFmaps - Sugarcane

description: Developed in the context of SAFmaps containing the georeferenced database and a case study report on SAF production based on the ATJ-SPK / ethanol (from sugarcane & corn) pathway. SAFmaps is a database platform with information on the potential of promising feedstock for the production of Sustainable Aviation Fuels (SAF) in Brazil. SAFmaps includes a database of different feedstocks, background information and assessment results.
DOI: 10.17632/czrwfbd7ct.1
title: SAFmaps - Diagnostics

description: Developed in the context of SAFmaps, containing a georeferenced database on land prices (for pastures), slope classification (used in all cases, except eucalyptus feedstock) and soil suitability for agriculture SAFmaps is a database platform with information on the potential of promising feedstock for the production of Sustainable Aviation Fuels (SAF) in Brazil. SAFmaps includes a database of different feedstocks, background information and assessment results.
DOI: 10.17632/g25wt3t7k5.1
title: SAFmaps - Corn

description: Developed in the context of SAFmaps containing the georeferenced database about corn related to the report on SAF production based on the ATJ-SPK / ethanol (from sugarcane & corn) pathway. SAFmaps is a database platform with information on the potential of promising feedstock for the production of Sustainable Aviation Fuels (SAF) in Brazil. SAFmaps includes a database of different feedstocks, background information and assessment results.
DOI: 10.17632/2zc8p9dgg9.1
title: SAFmaps - Beef tallow

description: Developed in the context of SAFmaps containing the georeferenced database and a case study report on SAF production based on the HEFA-SPK pathway, combing feedstocks (one of them is beef tallow). SAFmaps is a database platform with information on the potential of promising feedstock for the production of Sustainable Aviation Fuels (SAF) in Brazil. SAFmaps includes a database of different feedstocks, background information and assessment results.
DOI: 10.17632/zpn6r2fw2s.1
title: Dataset of Educational Research in 2020 extracted from WOS

description: This dataset includes two sub-dataset: (i) A dataset of 2354 articles in education literature within 2020, with keyword "School"; and (ii) A dataset of 321 articles in education literature within 2020 related to COVID-19. This data achieved from Clarivate Web of Science on 20 Dec 2020 and is provided with both excel and plaintext formats. Researchers can use this dataset to have an overview of scholarly work in education in 2020.
DOI: 10.17632/j983x8jg79.1
title: Ontological Revision of Grassroots Innovation: The Contribution to the Phenomenon Conceptualization

description: I used the Web of Science (WoS) data to select bibliography for GRI analysis due to its temporal coverage (from 1900 to present) and usage of multiple citation indices. Being aware that not all the journals are (and were) the part of WoS, I assumed that the citation index used by WoS could provide an understanding of the general trends and patterns of the GRI research. To verify the trends, I also used Scopus data, which temporal coverage starts from 2004 though.
DOI: 10.17632/3g8dtwbjjy.2
title: Dataset of Student Level Prediction in UAE

description: The dataset comprises novel aspects specifically, in terms of student grading in diverse educational cultures within the multiple countries – Researchers and other education sectors will be able to see the impact of having varied curriculums in a country. Dataset compares different levelling cases when student transfer from curriculum to curriculum and the unreliable levelling criteria set by schools currently in an international school. The collected data can be used within the intelligent algorithms specifically machine learning and pattern analysis methods, to develop an intelligent framework applicable in multi-cultural educational systems to aid in a smooth transition “levelling, hereafter” of students who relocate from a particular education curriculum to another; and minimize the impact of switching on the students’ educational performance. The preliminary variables taken into consideration when deciding which data to collect depended on the variables. UAE is a multicultural country with many expats relocating from regions such as Asia, Europe and America. In order to meet expats needs, UAE has established many international private schools, therefore UAE was chosen to be the location of study based on many cases and struggles in levelling declared by the Ministry of Education and schools. For the first time, we present this dataset comprising students’ records for two academic years that included math, English, and science for 3 terms. Selection of subject areas and number of terms was based on influence from other researchers in similar subject matters.
DOI: 10.17632/gmf4f2dx9h.3
title: Data Set for Paper 'Financial Wealth, Capital Allocation and Sentiment in a DSGE Framework'

description: The Excel File and Mat File contain the raw and transformed data that we used in our paper 'Financial Wealth, Capital Allocation and Sentiment in a DSGE Framework.
DOI: 10.17632/4nhx2x67cd.1
title: ALARM LOGS IN PACKAGING INDUSTRY (ALPI)

description: The advent of the Industrial Internet of Things (IIoT) has led to the availability of huge amounts of data, that can be used to train advanced Machine Learning algorithms to perform tasks such as Anomaly Detection, Fault Classification and Predictive Maintenance. Even though not all pieces of equipment are equipped with sensors yet, usually most of them are already capable of logging warnings and alarms occurring during operation. Turning this data, which is easy to collect, into meaningful information about the health state of machinery can have a disruptive impact on the improvement of efficiency and up-time. The provided dataset consists of a sequence of alarms logged by packaging equipment in an industrial environment. The collection includes data logged by 20 machines, deployed in different plants around the world, from 2019-02-21 to 2020-06-17. There are 154 distinct alarm codes, whose distribution is highly unbalanced. This data can be used to address the following tasks: 1. Next alarm forecasting: this problem can be framed as a supervised multi-class classification task, or a binary classification task when a specific alarm code is considered. 2. Predicting alarms occurring in a future time frame: here the goal is to forecast the occurrence of certain alarm types in a future time window. Since many alarms can occur, this is a supervised multi-label classification. 3. Future alarm sequence prediction: here the goal is predicting an ordered sequence of future alarms, in a sequence-to-sequence forecasting scenario. 4. Anomaly Detection: the task is to detect abnormal equipment conditions, based on the pattern of alarms sequence. This task can be either unsupervised, if only the input sequence is considered, or supervised if future alarms are taken into account to assess whether or not there is an anomaly. All of the above tasks can also be studied from a continual learning perspective. Indeed, information about the serial code of the specific piece of equipment can be used to train the model; however, a scalable model should also be easy to apply to new machines, without the need of a new training from scratch. The collection and release of this dataset has been supported by the Regione Veneto project PreMANI (MANIFATTURA PREDITTIVA: progettazione, sviluppo e implementazione di soluzioni di Digital Manufacturing per la previsione della Qualita e la Manutenzione Intelligente - PREDICTIVE MAINTENANCE: design, development and implementation of Digital Manufacturing solutions for the intelligent quality and maintenance systems).
DOI: 10.17632/83ksvcfftc.1
title: LINF_050015600

description: hypothetical protein - conserved; Leishmania infantum
DOI: 10.17632/3fykp2gxkj.1
title: LINF_050015700

description: Succinate dehydrogenase subunit 10 | SDH10; Leishmania infantum
DOI: 10.17632/d7b43swm3x.1
title: LINF_050015800

description: stomatin-like protein; Leishmania infantum
DOI: 10.17632/f9dbktdr3f.1
title: ICT AND SOCIAL MEDIA USAGE AMONG MOROCCAN NURSING STUDENTS

description: This dataset contains responses received from 702 Moroccan nursing students. The survey was carried out to examine their willingness to use and accept ICT and social media platforms for learning especially during COVID -19 period and beyond. The dataset includes the questionnaire used (in English and French), the responses obtained in spreadsheet format, the charts generated from the responses received, the SPSS file and the statistical analysis file.
DOI: 10.21258/1757991
title: Swiss national forest inventory - Result table No. 898849
DOI: 10.17632/k2r3xsyh2m.1
title: Dopamine Induces Functional Extracellular Traps in Microglia

description: Dopamine Induces Functional Extracellular Traps in Microglia
DOI: 10.17632/n9ywnhh4xd.1
title: Pilates Exercise and Physical Performance, Body Composition, and Serum Myokines

description: The aim of the present study was to investigate the effect of 8 weeks Pilates exercise on body composition, physical performance and serum myokines of overweight and obese women. Twenty six middle-age, sedentary overweight and obese women volunteered to participate in this study. They were allocated to either the experimental (n = 13) or control group (n = 13). The experimental group participated in an 8-week Pilates exercise program (3 days per week). Body height and weight, body mass index (BMI), waist circumference (WC); muscular strength and endurance; static and dynamic balance; serum levels of Follistatin, Decorin and Myostatin were assessed at baseline and at the end of the study. Analyses of covariance (ANCOVA) test were used for data analysis (p &lt; 0.05). Upper and lower body strength increased significantly in the experimental group (p = 0.003 and p &lt; 0.001, respectively). Moreover, muscular endurance, consisting push up and sit up tests, in the experimental group increased significantly (p = 0.01 and p = 0.03, respectively). Additionally, static and dynamic balance improved significantly in experimental group (p = 0.002 and p = 0.005, respectively). However, there was no significant difference between experimental and control groups in body weight, BMI, WC and serum levels of Decorin, Follistatin, and Myostatin (p &gt; 0.05).
DOI: 10.17632/67yxz58zc9.1
title: Cell non-autonomy amplifies disruption of neurulation by mosaic Vangl2 deletion in mice

description: Source data and SVG figure files
DOI: 10.17632/w3y2445tww.1
title: TBX3 whole genome microarray dataset

description: Differential gene expression when TBX3 is knocked down in ME1402 vertical growth phase melanoma.
DOI: 10.21258/1756458
title: Swiss national forest inventory - Result table No. 898818
DOI: 10.17632/yggxgfk66w.1
title: José Pérez-Carmona

description: Data from articles
DOI: 10.17632/853gfbbx7m.1
title: IWS1 phosphorylation by AKT3 controls nuclear export of type I IFN mRNAs and sensitivity to viral infection, by regulating the alternative RNA splicing of U2AF2.

description: We have previously shown that loss of IWS1 phosphorylation promotes the alternative RNA splicing of U2 Associated-Factor 2 (U2AF2), resulting in transcripts lacking exon 2. This exon encodes part of the Serine-Rich (SR) domain of U2AF65, which is responsible for its binding with pre-mRNA Processing Factor 19 (Prp19). Here, we show that whereas both U2AF65 isoforms bind cytoplasmic accumulation response elements (CAR-E) of intronless mRNAs, the loading of Prp19 occurs only in exon 2-containing U2AF65, in cells expressing phosphorylated IWS1, promoting their nucleocytoplasmic export. Furthermore, this Prp19 loading is RNA Pol II dependent. Given that IFNA1 and IFNB1 are among the target genes, the expression of IFNα and IFNβ was decreased in cells deficient in IWS1 phosphorylation, and their sensitivity to the oncolytic VSV, Reovirus and Sendai virus infection was increased accordingly. More importantly, treatment of the lung adenocarcinoma cells with the pan-AKT inhibitor, MK2206 phenocopied the loss of IWS1 phosphorylation and showed increased sensitivity to oncolytic viral infection. These data identify a novel mechanism by which the AKT/p-IWS1 axis, via the epigenetic regulation of alternative RNA splicing, contribute to the sensitivity to oncolytic viruses.
DOI: 10.17632/gd9vtc3k7j.1
title: Computational Approach to study the effect of point mutations in the development of antifungal resistance to Azoles and Flucytosine Drugs in Candida auris

description: Background: Post-discovery(2009), Candida auris is associated with invasive and severe candidemia, multi-drug resistance and high mortalities in over 30 countries across six continents. Misidentification and shortage of treatment services have made it difficult to control increasing threat. Azoles and Flucytosine are commonly used antifungal drugs due to their low toxicity and availability in both oral and intravenous formulations. Lanosterol alpha-demethylase (ERG11), Uracil phosphoribosyltransferase (FUR1) are two principal proteins involved in ergosterol biosynthesis and pyrimidine metabolism and act as drug targets for azole and flucytosine respectively. However, crystal structures of proteins from C. auris have not yet been established. In current study, we constructed structural model of ERG11 and FUR1 proteins for South-African Clade using homology modelling, molecular docking and molecular dynamics (MD) simulations. We applied same methods to ERG11 mutants (Y132F, K143R) and FUR1 mutants (F211I) to explain how point-mutations affects drug interaction. Method and Materials: Homology modelling was used to construct three-dimensional structure of proteins. Reliability of models was analysed by using validation tools. Molecular docking was used to study drug interaction in wild and mutant variants of proteins and binding free energy was calculated. Finally, we investigated structural significance of point-mutation in FUR1 through MD Simulation and how interactions differ in both variants of FUR1. Results: We established reliable structural model of proteins in complex with their drugs. Structural models variants of ERG11 and FUR1 were compared based on binding free energy and hydrogen bonding. Comparative study found that few azole compounds showed no effect of mutation on protein interaction. Further, on investigating structural significance of point-mutation in FUR1, it was found that binding affinity for 5-fluorocytosine decreases in the mutant variant. Moreover, MD Simulation of wild variant FUR1-5FC complex showed stabilisation till 7 ns while mutated complex was stable for 4.5 ns. Conclusion: Increased resistance of C. auris to conventional antifungal drugs poses significant danger to public health. Current study offers insight into how mutations influences drug-interaction. With better understanding of resistance mechanism, C.auris infection prevention can be strengthened and findings of this study could be employed in development of novel antifungal agents.
DOI: 10.17632/dfh3fb2xs7.1
title: Docking Studies, ADMET prediction of phytochemical inhibitors for Alzheimer’s disease

description: ABSTRACT: Alzheimer's disease (AD) is one form of senile dementia that gradually increases over time. It affects memory, thinking, and behaviour. The occurrence of Alzheimer’s disease is directly linked with a deficiency in the brain neurotransmitter acetylcholine. Acetylcholinesterase, also known as AChE, is an enzyme that degrades (through its hydrolytic activity) the neurotransmitter acetylcholine, producing choline and an acetate group. It is mainly found at neuromuscular junctions and cholinergic synapses in the central nervous system. Acetylcholinesterase (AChE) inhibitors are one of the most actively investigated classes of compounds in the search for effective treatment of Alzheimer's disease. The most common used cholinesterase inhibitors (drug) in Alzheimer's disease are rivastigmine, galantamine, and donepezil. The protein sequence of Acetylcholinesterase with accession number P22303 was obtained from UniProt and the 3D structure was modelled by Modeller. Docking was performed with the available drugs for Acetylcholinesterase as well as with the phytochemicals obtained from PubChem, Dr Duke’s phytochemical library and literature mining. Keywords: Modeller; Acetylcholinesterase; Alzheimer disease; Molegro Virtual Docker; Phytochemicals