cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13109481.v2
title: Raw Data, Processing Code, Correction Factors, and Clean Data of Hyperspectral Heather Measurements and Expert Classification of RGB Images

description: We developed an experimental procedure for hyperspectral measurements of heather plants. Here we provide our full data set including hyperspectral signatures of healthy, stressed, and dead heathers (<i>Calluna vulgaris</i>, strain: Sanne) measured from the cutting to the young plant stage (26.03.2019 - 18.06.2019). The classification of each heather plant at each measurement day was performed by two experts, the position and vitality status of each plant is given in the excel files (Expert Classification.xlsx). Results from our root test approach are given in the pdf file (Root_Test_Results.pdf). The hyperspectral data includes raw data (Raw Data.zip), calculated correction factors (Correction_factors.txt) and the processed data (Clean Data.zip). In addition, we provide the developed R-code for data processing with all necessary functions (Calluna_Code.zip), which includes the correction of the spatial heterogenity of the illumination conditions using a white reference sheet that was spectrally characterized by spectral laboratory measurements to calculate correction coefficients. The data processing procedure to compensate for the spatial heterogenity of the illumination conditions and defined regions of interest per plant as well as a step-by-step explanation of the code is explained in our manuscript: Hyperspectral imaging for high-throughput vitality monitoring in ornamental plant production, authored by Ruett M, Junker-Frohn LV, Siegmann B, Jaenicke H, Whitney C, Luedeling E, Tiede-Arlt P, and Rascher U. We do not provide support for further data processing.
DOI: 10.5281/zenodo.4431393
title: Improving Methods to Measure Comparable Mortality by Cause - Gold Standard Verbal Autopsy Data 2011-2014

description: These data were collected and compiled as part of the Improving Methods to Measure Comparable Mortality by Cause (IMMCMC) project, funded by Australia's National Health and Medical Research Council (NHMRC). Verbal autopsies (VAs) were conducted between 2011 and 2014 in three sites: Bohol, Philippines; Chandpur and Comila Districts, Bangladesh; and Central and Eastern Highlands Provinces, Papua New Guinea. Diagnostic criteria and cause lists similar to those employed in the Population Health Metrics Research Consortium (PHMRC) study were used to identify gold standard (GS) deaths. This study added 3512 deaths (2491 adults, 320 children, and 701 neonates) to the GS VA database created from the PHMRC study. This dataset contains the combined PHMRC and IMMCMC data for an updated GS VA database.
description: This work was supported by a National Health and Medical Research Council of Australia project grant - "Improving methods to measure comparable mortality by cause (Grant no. 631494)"
DOI: 10.5281/zenodo.4423351
title: Composite Beams Database

description: 1. Composite Beam Database v1.0 A database of composite steel beams that are part of moment-resisting frames is provided. The database consists of 97 tests conducted over the last 30 years. The collection and metadata methodology are thoroughly presented in El Jisr et al. (2019). Each column in the spreadsheet is defined in the "Definitions" tab along with accompanying figures in the "Figures" tab. The database includes details of the composite slab (dimensions, material strength, shear studs) as well as the calculation of the plastic moment resistance and elastic stiffness of the sections as per European, US and Japanese provisions. A comparison between the code-based and test values is also shown. Furthermore, the database includes the plastic deformation capacity of the sections based on the first cycle envelope. 2.Digitized Moment Rotation Data v1.0 Full digitized histories of the moment-chord rotation of the composite beams are provided.
description: Disclaimer: The composite beam database and aforementioned information was assembled as a service to the research and practice communities in earthquake/structural engineering. EPFL and the researchers who performed the experiments make no warranties to the accuracy of the information that has been collected, digitized and processed. If you have any questions, comments or suggestions, please contact Prof. Dimitrios Lignos at EPFL.
description: {"references": ["El Jisr, H., Elkady, A., Lignos, D. G. (2019).\"Composite steel beam database for seismic design and performance assessment of composite-steel moment-resisting frame systems.\" Bull. Earthquake Eng.", "El Jisr, H., Lignos, D. G. (2018). \"Composite beam effects and implications to seismic design provisions\". Proc. 16th European Conference on Earthquake Engineering, June, 18-21, 2018, Thessaloniki, Greece"]}
DOI: 10.5281/zenodo.4423350
title: Composite Beams Database

description: 1. Composite Beam Database v1.0 A database of composite steel beams that are part of moment-resisting frames is provided. The database consists of 97 tests conducted over the last 30 years. The collection and metadata methodology are thoroughly presented in El Jisr et al. (2019). Each column in the spreadsheet is defined in the "Definitions" tab along with accompanying figures in the "Figures" tab. The database includes details of the composite slab (dimensions, material strength, shear studs) as well as the calculation of the plastic moment resistance and elastic stiffness of the sections as per European, US and Japanese provisions. A comparison between the code-based and test values is also shown. Furthermore, the database includes the plastic deformation capacity of the sections based on the first cycle envelope. 2.Digitized Moment Rotation Data v1.0 Full digitized histories of the moment-chord rotation of the composite beams are provided.
description: Disclaimer: The composite beam database and aforementioned information was assembled as a service to the research and practice communities in earthquake/structural engineering. EPFL and the researchers who performed the experiments make no warranties to the accuracy of the information that has been collected, digitized and processed. If you have any questions, comments or suggestions, please contact Prof. Dimitrios Lignos at EPFL.
description: {"references": ["El Jisr, H., Elkady, A., Lignos, D. G. (2019).\"Composite steel beam database for seismic design and performance assessment of composite-steel moment-resisting frame systems.\" Bull. Earthquake Eng.", "El Jisr, H., Lignos, D. G. (2018). \"Composite beam effects and implications to seismic design provisions\". Proc. 16th European Conference on Earthquake Engineering, June, 18-21, 2018, Thessaloniki, Greece"]}
DOI: 10.5281/zenodo.3628213
title: Spatial integration of transcription and splicing in a dedicated compartment sustains monogenic antigen expression in African trypanosomes

description: This repository contains the data for the manuscript https://doi.org/10.1038/s41564-020-00833-4. The HiC analysis pipeline can be found at https://github.com/bgbrink/PRJEB35632. <strong>Abstract</strong> Highly selective gene expression is a key requirement for antigenic variation in several pathogens, allowing evasion of host immune responses and maintenance of persistent infections. African trypanosomes — parasites that cause lethal diseases in humans and livestock — employ an antigenic variation mechanism that involves monogenic antigen expression from a pool of &gt;2,600 antigen-coding genes. In other eukaryotes, the expression of individual genes can be enhanced by mechanisms involving the juxtaposition of otherwise distal chromosomal loci in the three-dimensional nuclear space. However, trypanosomes lack classical enhancer sequences or regulated transcription initiation. In this context, it has remained unclear how genome architecture contributes to monogenic transcription elongation and transcript processing. Here, we show that the single expressed antigen-coding gene displays a specific inter-chromosomal interaction with a major messenger RNA splicing locus. Chromosome conformation capture (Hi-C) revealed a dynamic reconfiguration of this inter-chromosomal interaction upon activation of another antigen. Super-resolution microscopy showed the interaction to be heritable and splicing dependent. We found a specific association of the two genomic loci with the antigen exclusion complex, whereby VSG exclusion 1 (VEX1) occupied the splicing locus and VEX2 occupied the antigen-coding locus. Following VEX2 depletion, loss of monogenic antigen expres- sion was accompanied by increased interactions between previously silent antigen genes and the splicing locus. Our results reveal a mechanism to ensure monogenic expression, where antigen transcription and messenger RNA splicing occur in a specific nuclear compartment. These findings suggest a new means of post-transcriptional gene regulation.
description: The work was funded by Wellcome Trust Investigator Awards to D.H. [100320/Z/12/Z], by the German Research Foundation (SI 1610/2-1 and SI 1610/3-1), the Center for Integrative Protein Science (CIPSM) and by an ERC Starting Grant (3D_Tryps 715466). The University of Dundee Imaging Facility is supported by the MRC Next Generation Optical Microscopy award [MR/K015869/1]. L.S.M.M. was supported by a grant of the German Excellence Initiative to the Graduate School of Life Science, University of Würzburg.
DOI: 10.5281/zenodo.3628212
title: Spatial integration of transcription and splicing in a dedicated compartment sustains monogenic antigen expression in African trypanosomes

description: This repository contains the data for the manuscript https://doi.org/10.1038/s41564-020-00833-4. The HiC analysis pipeline can be found at https://github.com/bgbrink/PRJEB35632. <strong>Abstract</strong> Highly selective gene expression is a key requirement for antigenic variation in several pathogens, allowing evasion of host immune responses and maintenance of persistent infections. African trypanosomes — parasites that cause lethal diseases in humans and livestock — employ an antigenic variation mechanism that involves monogenic antigen expression from a pool of &gt;2,600 antigen-coding genes. In other eukaryotes, the expression of individual genes can be enhanced by mechanisms involving the juxtaposition of otherwise distal chromosomal loci in the three-dimensional nuclear space. However, trypanosomes lack classical enhancer sequences or regulated transcription initiation. In this context, it has remained unclear how genome architecture contributes to monogenic transcription elongation and transcript processing. Here, we show that the single expressed antigen-coding gene displays a specific inter-chromosomal interaction with a major messenger RNA splicing locus. Chromosome conformation capture (Hi-C) revealed a dynamic reconfiguration of this inter-chromosomal interaction upon activation of another antigen. Super-resolution microscopy showed the interaction to be heritable and splicing dependent. We found a specific association of the two genomic loci with the antigen exclusion complex, whereby VSG exclusion 1 (VEX1) occupied the splicing locus and VEX2 occupied the antigen-coding locus. Following VEX2 depletion, loss of monogenic antigen expres- sion was accompanied by increased interactions between previously silent antigen genes and the splicing locus. Our results reveal a mechanism to ensure monogenic expression, where antigen transcription and messenger RNA splicing occur in a specific nuclear compartment. These findings suggest a new means of post-transcriptional gene regulation.
description: The work was funded by Wellcome Trust Investigator Awards to D.H. [100320/Z/12/Z], by the German Research Foundation (SI 1610/2-1 and SI 1610/3-1), the Center for Integrative Protein Science (CIPSM) and by an ERC Starting Grant (3D_Tryps 715466). The University of Dundee Imaging Facility is supported by the MRC Next Generation Optical Microscopy award [MR/K015869/1]. L.S.M.M. was supported by a grant of the German Excellence Initiative to the Graduate School of Life Science, University of Würzburg.
DOI: 10.25442/hku.13490358
title: Supporting data for “Children’s Patterning Skills and their Roles in Mathematics Learning”

description: Supporting data for “Children’s Patterning Skills and their Roles in Mathematics Learning”. <br>This thesis contained 3 studies, aiming to provide a broader picture of patterning development and its contribution to mathematics learning. 2 datasets were used. The dataset for Study 1 and 2 contained the longitudinal data from preschoolers on their patterning skills, mathematics abilities and some cognitive abilities, and survey data from these preschoolers' parents. The dataset for Study 3 contained the cross-cultural data from elementary school students in Hong Kong and Montreal on their patterning skills, spatial skills, number line estimation ability, and various mathematics abilities.
DOI: 10.25442/hku.13490358.v1
title: Supporting data for “Children’s Patterning Skills and their Roles in Mathematics Learning”

description: Supporting data for “Children’s Patterning Skills and their Roles in Mathematics Learning”. <br>This thesis contained 3 studies, aiming to provide a broader picture of patterning development and its contribution to mathematics learning. 2 datasets were used. The dataset for Study 1 and 2 contained the longitudinal data from preschoolers on their patterning skills, mathematics abilities and some cognitive abilities, and survey data from these preschoolers' parents. The dataset for Study 3 contained the cross-cultural data from elementary school students in Hong Kong and Montreal on their patterning skills, spatial skills, number line estimation ability, and various mathematics abilities.
DOI: 10.5281/zenodo.4430925
title: GCAM-USA Raw Outputs for Khan et al. 2021 - Evolution of energy-water-agriculture interconnectivity across the U.S.

description: GCAM-USA outputs for paper: Khan et al. 2021, Evolution of energy-water-agriculture interconnectivity across the U.S.
DOI: 10.5281/zenodo.4430924
title: GCAM-USA Raw Outputs for Khan et al. 2021 - Evolution of energy-water-agriculture interconnectivity across the U.S.

description: GCAM-USA outputs for paper: Khan et al. 2021, Evolution of energy-water-agriculture interconnectivity across the U.S.
DOI: 10.5281/zenodo.4429899
title: IDF curves for Novi Pazar

description: Data set of IDF curves for city of Novi Pazar , Republic of Serbia.
DOI: 10.5281/zenodo.4429898
title: IDF curves for Novi Pazar

description: Data set of IDF curves for city of Novi Pazar , Republic of Serbia.
DOI: 10.25442/hku.13515956
title: Supporting data for "In Situ measurement of tissue temperature and bio-impedance during thermal ablation"

description: This dataset contains the data, which includes images, graphs, excel tables, and software specific raw data, of the whole research. The images are taken by various means which includes camera, light microscope, scanning electronic microscope, and atomic force microscope. All data were analyzed by Origin. The data are acquired mostly by electrochemical workstation and interpreted in the VersaStudio Software provided.
DOI: 10.25442/hku.13515956.v1
title: Supporting data for "In Situ measurement of tissue temperature and bio-impedance during thermal ablation"

description: This dataset contains the data, which includes images, graphs, excel tables, and software specific raw data, of the whole research. The images are taken by various means which includes camera, light microscope, scanning electronic microscope, and atomic force microscope. All data were analyzed by Origin. The data are acquired mostly by electrochemical workstation and interpreted in the VersaStudio Software provided.
DOI: 10.21421/d2/xsjxfl/rx3dat
title: Data from Ahemedabad.tab

description: :unav
DOI: 10.21421/d2/xsjxfl/c7afqc
title: Data from Bangalore.tab

description: :unav
DOI: 10.21421/d2/xsjxfl/oddvyk
title: Data from Chennai.tab

description: :unav
DOI: 10.21421/d2/xsjxfl/vjndhs
title: Data from Delhi.tab

description: :unav
DOI: 10.21421/d2/xsjxfl/ysn7av
title: Data from Hyderabad.tab

description: :unav
DOI: 10.21421/d2/xsjxfl/ordawv
title: Data from Kolkata.tab

description: :unav
DOI: 10.21421/d2/xsjxfl/urknkg
title: Data from Mumbai.xlsx

description: :unav
DOI: 10.21421/d2/xsjxfl/jbi7ns
title: Survey form.pdf

description: :unav
DOI: 10.21421/d2/xsjxfl
title: Data on knowledge, perception and consumption behavior of Millets and Sorghum - Survey conducted across India

description: This data includes the research work carried out to understand the individual’s knowledge and perception towards millets and sorghum. The research was carried out by conducting a consumer survey using the Food Frequency Questionnaire along with specific questions to understand the knowledge and perception of millets with 15,522 individuals from 7 major cities of India. Convenience sampling was adopted where respondents were approached in shopping malls. The optimal size of the sample was identified considering both the budget and the statistical power. As a result, a total of 15,522 individuals from seven cities in seven states of south, west, north, and east India participated in the survey. The questionnaire covered demographic details, how frequently the participants consume millets and sorghum, in what form they consume millet and sorghum, the reason for consumption and reason for not consuming millets, and so on. Results showed that the largest group of early adopters of millets have been people with health problems (28%), it being the single largest reason for consuming millets, followed by those wanting to lose weight (15%) and those selecting millets for their taste (14%). The major reason the respondents did not eat more millets was that it is was not eaten at home (40%), followed by reactions such as not liking the taste (22%). Reaching the urban consumer through social media is recommended, given that it is their main source of information. There was no statistically significant relationship between state-wise per capita production and frequency of consumption of millets in the urban areas (p=0.236). In conclusion, it is important to focus on three major areas to enhance the consumption of millets; delicious product development to satisfy the taste, providing knowledge on nutritional and health facts on millets, and improve the accessibility of millets in urban markets.
DOI: 10.5281/zenodo.4430799
title: RDF version of the data from Choi, JS., Ha, M.K., Trinh, T.X. et al. Towards a generalized toxicity prediction model for oxide nanomaterials using integrated data from different sources. Sci Rep 8, 6110 (2018)

description: RDF version of the data from Choi, JS., Ha, M.K., Trinh, T.X. et al. Towards a generalized toxicity prediction model for oxide nanomaterials using integrated data from different sources. Sci Rep 8, 6110 (2018)
description: { "@context": { "bs": "https://bioschemas.org/", "schema": "https://schema.org/", "ns": "https://ammar257ammar.github.com/RDFied-datasets/ns:", "citation": "schema:citation", "contributor": "schema:contributor", "name": "schema:name", "url": "schema:name", "variableMeasured": "schema:variableMeasured", "unitText": "schema:unitText" }, "@id": "ns:dataset_a89531aef1d8f1a3c13ac1baf35b4480", "@type": "schema:Dataset", "citation": "RDF version of the data from Choi, JS., Ha, M.K., Trinh, T.X. et al. Towards a generalized toxicity prediction model for oxide nanomaterials using integrated data from different sources. Sci Rep 8, 6110 (2018). https://doi.org/10.1038/s41598-018-24483-z", "contributor": { "@type": "schema:Person", "name": "Ammar Ammar", "url": "https://github.com/ammar257ammar" }, "variableMeasured":[{ "@type": "schema:PropertyValue", "name": "Size", "unitText": "nm" }, { "@type": "schema:PropertyValue", "name": "Specific surface area", "unitText": "m2/g" }, { "@type": "schema:PropertyValue", "name": "Zeta potential", "unitText": "mV" }, { "@type": "schema:PropertyValue", "name": "Shape", "unitText": "nm" }] }
description: {"references": ["https://doi.org/10.1038/s41598-018-24483-z"]}
DOI: 10.5281/zenodo.4429298
title: Example 6-hour directory for FV3GFS atmospheric model

description: This dataset serves as an example run directory for the FV3GFS atmospheric model, used in publications to show execution of the Python-wrapped FV3GFS atmospheric model. Files in rundir/grb provided by the National Oceanic and Atmospheric Administration (NOAA) Environmental Modeling Center (EMC) are public domain. All other data and configuration files are distributed under a Creative Commons Attribution-ShareAlike 4.0 International License. SHiELD/FV3 model data and input files produced by the Geophysical Fluid Dynamics Laboratory is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.
description: We would like to acknowledge the many contributions of colleagues at NOAA EMC and GFDL towards the data used to compile this dataset.
DOI: 10.5281/zenodo.4430798
title: RDF version of the data from Choi, JS., Ha, M.K., Trinh, T.X. et al. Towards a generalized toxicity prediction model for oxide nanomaterials using integrated data from different sources. Sci Rep 8, 6110 (2018)

description: RDF version of the data from Choi, JS., Ha, M.K., Trinh, T.X. et al. Towards a generalized toxicity prediction model for oxide nanomaterials using integrated data from different sources. Sci Rep 8, 6110 (2018)
description: { "@context": { "bs": "https://bioschemas.org/", "schema": "https://schema.org/", "ns": "https://ammar257ammar.github.com/RDFied-datasets/ns:", "citation": "schema:citation", "contributor": "schema:contributor", "name": "schema:name", "url": "schema:name", "variableMeasured": "schema:variableMeasured", "unitText": "schema:unitText" }, "@id": "ns:dataset_a89531aef1d8f1a3c13ac1baf35b4480", "@type": "schema:Dataset", "citation": "RDF version of the data from Choi, JS., Ha, M.K., Trinh, T.X. et al. Towards a generalized toxicity prediction model for oxide nanomaterials using integrated data from different sources. Sci Rep 8, 6110 (2018). https://doi.org/10.1038/s41598-018-24483-z", "contributor": { "@type": "schema:Person", "name": "Ammar Ammar", "url": "https://github.com/ammar257ammar" }, "variableMeasured":[{ "@type": "schema:PropertyValue", "name": "Size", "unitText": "nm" }, { "@type": "schema:PropertyValue", "name": "Specific surface area", "unitText": "m2/g" }, { "@type": "schema:PropertyValue", "name": "Zeta potential", "unitText": "mV" }, { "@type": "schema:PropertyValue", "name": "Shape", "unitText": "nm" }] }
description: {"references": ["https://doi.org/10.1038/s41598-018-24483-z"]}