cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12448988
title: JARVIS-DFT Finite Difference Elastic Constants (JVASP-9673 to JVASP-10852)

description: Contains input/output files for finite difference method based elastic calculations in the JARVIS-DFT.
DOI: 10.6084/m9.figshare.12448994
title: JARVIS-DFT Finite Difference Elastic Constants (JVASP-10854 to JVASP-12329)

description: Contains input/output files for finite difference method based elastic calculations in the JARVIS-DFT.
DOI: 10.6084/m9.figshare.12448994.v1
title: JARVIS-DFT Finite Difference Elastic Constants (JVASP-10854 to JVASP-12329)

description: Contains input/output files for finite difference method based elastic calculations in the JARVIS-DFT.
DOI: 10.6084/m9.figshare.12448979
title: JARVIS-DFT Finite Difference Elastic Constants (JVASP-8656 to JVASP-9672)

description: Contains input/output files for finite difference method based elastic calculations in the JARVIS-DFT.
DOI: 10.6084/m9.figshare.12448898
title: ---

description: ----
DOI: 10.5517/ccdc.csd.cc24j7vs
title: CCDC 1981825: Experimental Crystal Structure Determination

description: Related Article: Xiaofeng Wei,  Wei Shu,  Andrés García-Domínguez,  Estíbaliz Merino,  Cristina Nevado|2020|J.Am.Chem.Soc.|142|13515|doi:10.1021/jacs.0c05254
DOI: 10.6084/m9.figshare.12448898.v1
title: Dataset for 'A typology of scientific breakthroughs'

description: Dataset of scientific breakthroughs as identified by Science Magazine's Breakthrough of the Year 1999 - 2012. We used the DOI of each article to collect data from Web of Science: (1) publication date; (2) publication source; (3) citation report consisting of the number of citations per year for ten years, or as many years as possible for articles published after 2008; (4) number of authors. The variables <i>question, new, anomalies, applied </i>and<i> basic</i> are coded by means of the article's full text, as described in the paper. This data was collected in April-May 2018. WoS queries ran on April 24 and 25 2018. <br>
DOI: 10.6084/m9.figshare.12448847
title: Research Data.zip

description: Viscosity.xlsx Contains the viscosity data for the resin and filled systems. The worksheets are organized per materials and testing temperature, (e.g. 01CNT110 signifies the 110 degC test of the material containing 0.1% CNTs). The data are organized in time, temperature, viscosity columns with each worksheets containing the triplets for 7 different shear rates (form 1/s to 1000/s). The shear rates is indicated in the first row of each column triplet. Conductivity.xlsx Contains the resistance data for the filled systems. The worksheets are organized per material (e.g. 01CNT signifies the material containing 0.1% CNTs). The data are organized in current, resistance columns. The worksheet named ‘Summary’ contains the averages for the 3 filled materials and the corresponding conductivity computation as well the nominal resin resistance/conductivity. Images.xlsx Contains the images used for image analysis of C-scans. The worksheets are organized per material, each representing a binary 128 × 128 of a central 24 × 24 cm region containing the lightning strike damage. Worksheet ‘Summary’ contains the sums of damage averages and the corresponding fraction and damaged area computations.
DOI: 10.6084/m9.figshare.12448850
title: dat_ms.csv

description: An oak litter decomposition experiment, testing the phylogenetic isolation effect on mass loss, carbon loss, nitrogen loss, microbial biomass, invertebrates and isotope ratios.
DOI: 10.6084/m9.figshare.12448847.v1
title: Research Data.zip

description: Viscosity.xlsx Contains the viscosity data for the resin and filled systems. The worksheets are organized per materials and testing temperature, (e.g. 01CNT110 signifies the 110 degC test of the material containing 0.1% CNTs). The data are organized in time, temperature, viscosity columns with each worksheets containing the triplets for 7 different shear rates (form 1/s to 1000/s). The shear rates is indicated in the first row of each column triplet. Conductivity.xlsx Contains the resistance data for the filled systems. The worksheets are organized per material (e.g. 01CNT signifies the material containing 0.1% CNTs). The data are organized in current, resistance columns. The worksheet named ‘Summary’ contains the averages for the 3 filled materials and the corresponding conductivity computation as well the nominal resin resistance/conductivity. Images.xlsx Contains the images used for image analysis of C-scans. The worksheets are organized per material, each representing a binary 128 × 128 of a central 24 × 24 cm region containing the lightning strike damage. Worksheet ‘Summary’ contains the sums of damage averages and the corresponding fraction and damaged area computations.
DOI: 10.6084/m9.figshare.12448850.v1
title: dat_ms.csv

description: An oak litter decomposition experiment, testing the phylogenetic isolation effect on mass loss, carbon loss, nitrogen loss, microbial biomass, invertebrates and isotope ratios.
DOI: 10.6084/m9.figshare.12448898.v2
title: Dataset for 'A typology of scientific breakthroughs'

description: Dataset of scientific breakthroughs as identified by Science Magazine's Breakthrough of the Year 1999 - 2012. We used the DOI of each article to collect data from Web of Science: (1) publication date; (2) publication source; (3) citation report consisting of the number of citations per year for ten years, or as many years as possible for articles published after 2008; (4) number of authors. The variables <i>question, new, anomalies, applied </i>and<i> basic</i> are coded by means of the article's full text, as described in the paper. This data was collected in April-May 2018. WoS queries ran on April 24 and 25 2018. <br>
DOI: 10.6084/m9.figshare.12448898.v4
title: ---

description: ----
DOI: 10.6084/m9.figshare.12448823
title: JARVIS-DFT Finite Difference Elastic Constants (JVASP-7954 to JVASP-8655)

description: Contains input/output files for finite difference method based elastic calculations in the JARVIS-DFT.
DOI: 10.6084/m9.figshare.12448898.v3
title: Dataset for 'A typology of scientific breakthroughs'

description: Dataset of scientific breakthroughs as identified by Science Magazine's Breakthrough of the Year 1999 - 2012. We used the DOI of each article to collect data from Web of Science: (1) publication date; (2) publication source; (3) citation report consisting of the number of citations per year for ten years, or as many years as possible for articles published after 2008; (4) number of authors. The variables <i>question, new, anomalies, applied </i>and<i> basic</i> are coded by means of the article's full text, as described in the paper. This data was collected in April-May 2018. WoS queries ran on April 24 and 25 2018. <br>
DOI: 10.6084/m9.figshare.12448784
title: JARVIS-DFT Finite Difference Elastic Constants (JVASP-1942 to JVASP-4657)

description: Contains input/output files for finite difference method based elastic calculations in the JARVIS-DFT.
DOI: 10.6084/m9.figshare.12448793
title: JARVIS-DFT Finite Difference Elastic Constants (JVASP-4666 to JVASP-7952)

description: Contains input/output files for finite difference method based elastic calculations in the JARVIS-DFT.
DOI: 10.6084/m9.figshare.12448784.v1
title: JARVIS-DFT Finite Difference Elastic Constants (JVASP-1942 to JVASP-4657)

description: Contains input/output files for finite difference method based elastic calculations in the JARVIS-DFT.
DOI: 10.6084/m9.figshare.12448793.v1
title: JARVIS-DFT Finite Difference Elastic Constants (JVASP-4666 to JVASP-7952)

description: Contains input/output files for finite difference method based elastic calculations in the JARVIS-DFT.
DOI: 10.6084/m9.figshare.12448637
title: JARVIS-DFT Finite Difference Elastic Constants (JVASP-5 to JVASP-1939)

description: Contains input/output files for finite difference method based elastic calculations in the JARVIS-DFT.
DOI: 10.6084/m9.figshare.12448760
title: Repeatability and heritability of resting metabolic rate in newts

description: We studied repeatability (over six months and five years) and heritability (parent-offspring regression, full-sib analysis) of resting metabolic rate in the alpine newt, Ichthyosaura alpestris. In addition we examined the influence of two thermal regimes (12–22°C and 15–25°C) after metamorphosis on the RMR heritability estimates. estimates. <br><br>
DOI: 10.6084/m9.figshare.12448637.v1
title: JARVIS-DFT Finite Difference Elastic Constants (JVASP-5 to JVASP-1939)

description: Contains input/output files for finite difference method based elastic calculations in the JARVIS-DFT.
DOI: 10.6084/m9.figshare.12446306
title: Cif_files_and_exp_data.zip

description: Synchrotron X-ray diffraction data obtained at I11, Diamond. Inputs files from TOPAS used to refine the data and .cif files generated from the refinements.
DOI: 10.6084/m9.figshare.12448760.v1
title: Repeatability and heritability of resting metabolic rate in newts

description: We studied repeatability (over six months and five years) and heritability (parent-offspring regression, full-sib analysis) of resting metabolic rate in the alpine newt, Ichthyosaura alpestris. In addition we examined the influence of two thermal regimes (12–22°C and 15–25°C) after metamorphosis on the RMR heritability estimates. estimates. <br><br>
DOI: 10.6084/m9.figshare.12446123
title: JARVIS-FD-ELAST (JVASP-10 to JVASP-11273)

description: Finite difference based elastic constant calculations in JARVIS-DFT
DOI: 10.6084/m9.figshare.12446156
title: all sources of mortality compiled

description: Bills of Mortality data compiled, used in <i>A Plague on Your Data: a story map experiment</i>, located at https://arcg.is/zn9Da
DOI: 10.6084/m9.figshare.12446162
title: Covid-19 KAAP 2020.sav

description: SPSS dataset related to Yemen healthcare providers' knowledge, attitudes, anxiety, and preventive behaviours toward COVID-19. The data was collected via online cross-sectional survey between 22<sup>nd</sup> April 2020 to 26<sup>th</sup> April 2020.
DOI: 10.6084/m9.figshare.12446156.v1
title: all sources of mortality compiled

description: Bills of Mortality data compiled, used in <i>A Plague on Your Data: a story map experiment</i>, located at https://arcg.is/zn9Da
DOI: 10.6084/m9.figshare.12446162.v1
title: Covid-19 KAAP 2020.sav

description: SPSS dataset related to Yemen healthcare providers' knowledge, attitudes, anxiety, and preventive behaviours toward COVID-19. The data was collected via online cross-sectional survey between 22<sup>nd</sup> April 2020 to 26<sup>th</sup> April 2020.
DOI: 10.6084/m9.figshare.12446087
title: Mendonca et al., 2020, Model fits and simulation

description: Model fits and simulations for behavioral data of Mendonca et al. (2020). The impact of learning on perceptual decisions andits implication for speed-accuracy tradeoffs. Nature Communications, 11:2757, 1-15.<br>
DOI: 10.6084/m9.figshare.12446048
title: Matlab code for Generalized inverse matrix algorithm for directly and fast data processing of multi-wavelength pyrometer

description: A novel data processing algorithm of Multi-wavelength pyrometer is proposed based generalized inverse matrix theory without affection from unknown emissvity, it has well precision and efficiency to meet 2D temperature fields transient measurement, such as rocket nozzle.<br>
DOI: 10.6084/m9.figshare.12446087.v1
title: Mendonca et al., 2020, Model fits and simulation

description: Model fits and simulations for behavioral data of Mendonca et al. (2020). The impact of learning on perceptual decisions andits implication for speed-accuracy tradeoffs. Nature Communications, 11:2757, 1-15.<br>
DOI: 10.6084/m9.figshare.12446048.v2
title: Matlab code for Generalized inverse matrix algorithm for directly and fast data processing of multi-wavelength pyrometer

description: A novel data processing algorithm of Multi-wavelength pyrometer is proposed based generalized inverse matrix theory without affection from unknown emissvity, it has well precision and efficiency to meet 2D temperature fields transient measurement, such as rocket nozzle.<br>
DOI: 10.6084/m9.figshare.12445955
title: T1/T2 brain extraction weights

description: T1/T2 infant brain extraction weights
DOI: 10.6084/m9.figshare.12446048.v1
title: Matlab code for Generalized inverse matrix algorithm for directly and fast data processing of multi-wavelength pyrometer

description: 提出了一种基于广义逆矩阵理论的多波长高温计数据处理新算法，该算法不受未知发射率的影响，具有较好的精度和效率，可以满足火箭喷嘴等二维温度场的瞬态测量。
DOI: 10.6084/m9.figshare.12445949
title: T2 infant brain extraction

description: T2 only brain extraction weights<br>
DOI: 10.6084/m9.figshare.12445952
title: T1 infant brain extraction weights

description: T1 only infant brain extraction weights
DOI: 10.6084/m9.figshare.12445949.v1
title: T2 infant brain extraction

description: T2 only brain extraction weights<br>
DOI: 10.6084/m9.figshare.12445952.v1
title: T1 infant brain extraction weights

description: T1 only infant brain extraction weights
DOI: 10.6084/m9.figshare.12445955.v1
title: T1/T2 brain extraction weights

description: T1/T2 infant brain extraction weights
DOI: 10.6084/m9.figshare.12445922
title: DATA AVAILABILITY

description: 提出了一种基于广义逆矩阵理论的多波长高温计数据处理新算法，该算法不受未知发射率的影响，具有较好的精度和效率，可以满足火箭喷嘴等二维温度场的瞬态测量。
DOI: 10.6084/m9.figshare.12445922.v1
title: DATA AVAILABILITY

description: 提出了一种基于广义逆矩阵理论的多波长高温计数据处理新算法，该算法不受未知发射率的影响，具有较好的精度和效率，可以满足火箭喷嘴等二维温度场的瞬态测量。
DOI: 10.6084/m9.figshare.12445715
title: H3K27ac Signal Track for MSIPS, KU19, LX, and NP

description: Genome-wide signal tracks for each sample were generated in two stages: (i) assess ChIP–seq quality and obtain the predominant fragment length using phantompeakqualtools (https://code.google.com/archive/p/phantompeakqualtools/); (ii) use align2rawsignal (https://code.google.com/archive/p/align2rawsignal/wikis/Method.wiki) to generate signal track (parameters: -n = 5, -k = epanechnikov, -l = [frag-ment length from step (i)], -w = 150, -f = 0).
DOI: 10.6084/m9.figshare.12445715.v1
title: H3K27ac Signal Track for MSIPS, KU19, LX, and NP

description: Genome-wide signal tracks for each sample were generated in two stages: (i) assess ChIP–seq quality and obtain the predominant fragment length using phantompeakqualtools (https://code.google.com/archive/p/phantompeakqualtools/); (ii) use align2rawsignal (https://code.google.com/archive/p/align2rawsignal/wikis/Method.wiki) to generate signal track (parameters: -n = 5, -k = epanechnikov, -l = [frag-ment length from step (i)], -w = 150, -f = 0).
DOI: 10.6084/m9.figshare.12445598
title: CMU_DICT.RData

description: Processed CMU dictionary
DOI: 10.6084/m9.figshare.12445634
title: Supplemental data for thesis

description: Supplemental data for thesis submitted to Cardiff University School of Biosciences:<br>Cepraga, A.A. (2020) "An investigation into Mef2-interacting proteins during embryonic muscle development of Drosophila"<br>Each file is provided twice: in a plain-text format such as .tsv , and as an Excel file. Note that .tsv files are tab-delimited. Make sure that they are not treated as space-delimited when imported in spreadsheet software to display them properly.<br>This repository contains:- Table S1: Raw spectral counts and hit ranking of all proteins identified by TAP/MS (total spectral counts for each protein identified by MS in tandem affinity purification from Drosophila embryos with Mef2 as the tagged bait)- Table S2: Mef2 GO biological process terms- Table S3: High-interest candidates identified by each analysis<br>- Table S4: Overlap of TAP datasets with muscleRNAi screen by Schnorrer et al 2010<br>- Data supplementals for individual figures. The file names indicate which figure the file corresponds to. Most of these report the IDs of genes in the different overlap fields of Venn diagrams. The dataset for Fig4.12 contains the functional similarity network including the pairwise functional similarity scores between the candidates.<br>- The file for Fig4.8 contains pmax for all candidates across embryonic stagings. The file for Fig4.10 contains GO enrichment for all Mef2 GO terms in each dataset and subset. These two files are in the appropriate format for use in the Morpheus matrix visualisation tool at https://software.broadinstitute.org/morpheus/ (Download the .gct files from here, open the Morpheus page, click "select file" and select the .gct file from your Downloads folder.)<br><br>- a Morpheus color scheme file to be used in conjunction with Fig4-10GOenrichment[...].gct. To apply the colour scheme, first download both the Fig4-10.gct and the color-scheme.json files. Open the Fig4-10.gct in Morpheus as described above. Click the Options button in the top-right corner (cogwheel symbol), which opens the Color scheme dialog. Scroll down to find the field "Saved color scheme" and select "My computer" from the dropdown box. Finally, click "Load color scheme" and select the downloaded .json file from your Downloads folder.<br>
DOI: 10.6084/m9.figshare.12445598.v1
title: CMU_DICT.RData

description: Processed CMU dictionary
DOI: 10.6084/m9.figshare.12445589
title: Simulation and observed data associated with study by Morin et al.

description: Data used in Morin et al.Observed and simulated BAI at the tree level,<br>and simulated basal area (m²/ha) at the plot level after 2000 years of simulation along a gradient of 15 sites.
DOI: 10.6084/m9.figshare.12445589.v1
title: Simulation and observed data associated with study by Morin et al.

description: Data used in Morin et al.Observed and simulated BAI at the tree level,<br>and simulated basal area (m²/ha) at the plot level after 2000 years of simulation along a gradient of 15 sites.
DOI: 10.6084/m9.figshare.12445229
title: Dataset for the Experiments in BEH 3605

description: The datasets show the data used in Experiments 1 and 2 described in the article.
DOI: 10.6084/m9.figshare.12445235
title: Deciphering effectual binding potential of xylo-substrates towards xylose isomerase and xylokinase through molecular docking and molecular dynamic simulation

description: Xylooligosaccharides (XOS) such as xylobiose and xylotriose are prebiotics with important functions and relevance and the study of interaction mechanism between these substrate and their respective enzymes has scope and applications. Thus, the present study aimed to decipher the interaction mechanisms of xylose isomerase (XylA) and xylokinase (XylB) towards their xylo-substrates namely xylobiose and xylotriose by computational modeling and molecular dynamic simulation studies. The three-dimensional structures of XylA and XylB, not available in their native forms, were predicted, energy minimized and validated by various computational biology tools and software. The binding mechanisms of xylobiose and xylotriose towards XylA and XylB were modeled by molecular docking and the stability of the docked complexes was confirmed by molecular dynamic (MD) simulation. The current study suggested that the theoretical models of XylA and XylB possessed good stereo-chemical validity, structural stabilities and minimum energy conformers. The molecular docking studied showed that xylotriose showed better binding interactions to XylA than xylobiose and xylobiose showed better binding interaction to XylB than xylotriose with ideal root mean square deviation (RMS), minimum binding energy (kcal/mol), hydrogen bonding and weak interactions. The MD simulation confirmed the stabilities of the docked complexes predicted by docking studies. The study suggested that interactions between the probiotics and prebiotics and provides the novel insights in exploring synbiotics as functional foods towards their futuristic applications. HighlightsThis study deciphers the interactions of xylosubstrates to XylA and XylB.The XylA and XylB possessed ideal structural stability and stereochemistryXylotriose and Xylobiose showed significant interactionsThe interactions of Xylotriose-XylA and Xylobiose-XylB were found stable in MD studies. This study deciphers the interactions of xylosubstrates to XylA and XylB. The XylA and XylB possessed ideal structural stability and stereochemistry Xylotriose and Xylobiose showed significant interactions The interactions of Xylotriose-XylA and Xylobiose-XylB were found stable in MD studies. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.12445229.v1
title: Dataset for the Experiments in BEH 3605

description: The datasets show the data used in Experiments 1 and 2 described in the article.
DOI: 10.6084/m9.figshare.12445235.v1
title: Deciphering effectual binding potential of xylo-substrates towards xylose isomerase and xylokinase through molecular docking and molecular dynamic simulation

description: Xylooligosaccharides (XOS) such as xylobiose and xylotriose are prebiotics with important functions and relevance and the study of interaction mechanism between these substrate and their respective enzymes has scope and applications. Thus, the present study aimed to decipher the interaction mechanisms of xylose isomerase (XylA) and xylokinase (XylB) towards their xylo-substrates namely xylobiose and xylotriose by computational modeling and molecular dynamic simulation studies. The three-dimensional structures of XylA and XylB, not available in their native forms, were predicted, energy minimized and validated by various computational biology tools and software. The binding mechanisms of xylobiose and xylotriose towards XylA and XylB were modeled by molecular docking and the stability of the docked complexes was confirmed by molecular dynamic (MD) simulation. The current study suggested that the theoretical models of XylA and XylB possessed good stereo-chemical validity, structural stabilities and minimum energy conformers. The molecular docking studied showed that xylotriose showed better binding interactions to XylA than xylobiose and xylobiose showed better binding interaction to XylB than xylotriose with ideal root mean square deviation (RMS), minimum binding energy (kcal/mol), hydrogen bonding and weak interactions. The MD simulation confirmed the stabilities of the docked complexes predicted by docking studies. The study suggested that interactions between the probiotics and prebiotics and provides the novel insights in exploring synbiotics as functional foods towards their futuristic applications. HighlightsThis study deciphers the interactions of xylosubstrates to XylA and XylB.The XylA and XylB possessed ideal structural stability and stereochemistryXylotriose and Xylobiose showed significant interactionsThe interactions of Xylotriose-XylA and Xylobiose-XylB were found stable in MD studies. This study deciphers the interactions of xylosubstrates to XylA and XylB. The XylA and XylB possessed ideal structural stability and stereochemistry Xylotriose and Xylobiose showed significant interactions The interactions of Xylotriose-XylA and Xylobiose-XylB were found stable in MD studies. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.12445061
title: JARVIS-DFT-DFPT (JVASP-29884 to JVASP-35987)

description: DFPT input/output files for JARVIS-DFT.
DOI: 10.6084/m9.figshare.12445034
title: Metadata record for: A dataset describing data discovery and reuse practices in research

description: This dataset contains key characteristics about the data described in the Data Descriptor A dataset describing data discovery and reuse practices in research. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.12445034.v1
title: Metadata record for: A dataset describing data discovery and reuse practices in research

description: This dataset contains key characteristics about the data described in the Data Descriptor A dataset describing data discovery and reuse practices in research. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>