cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25387/g3.13312088.v1
title: Supplemental Material for Demirci et al., 2020

description: Figure S1 contains allele frequency counts for duplications, inversions and deletions. Figure S2 contains clustering of the duplications and melon accessions based on presence/absence of duplications. Figures S3-S5 contain maximum likelihood trees based on duplications, inversions and deletions, respectively. Figure S6 contains a maximum likelihood tree with bootstrap values based on combined SV events. Table S1 contains the details of accessions used in this study including country of origin, accession number, common name and groups and subspecies they belong to. Table S2 contains the presence/absence variation (PAV) of 104 genes in linkage group V in 100 melon accessions. Table S3 contains the overrepresented GO terms in genes overlapping with SV.
DOI: 10.6084/m9.figshare.13312856.v2
title: Complete dataset, epidemiological informations, genomic quality assessment data and raw reads accession number

description: This table provides, for the 1575 LISTADAPT dataset, all information available dealing with epidemiological data and genome sequence quality.<br>
DOI: 10.6084/m9.figshare.12130980.v57
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.
DOI: 10.15139/s3/igsf54
title: Continuous quality improvement of safe water storage containers: a cluster randomized trial in rural Burkina Faso

description: Safe storage protects household drinking water from contamination, maintaining water quality and preventing diarrheal and other water-borne diseases. However, achieving high adoption and sustained used of safe storage is challenging. We developed a safe water storage container (SWSC) intervention using the Lean Six Sigma continuous quality improvement framework in rural Ghana to optimize adoption and water quality, and subsequently adapted the SWSC for implementation in Burkina Faso. This study reports the impacts of the adapted Burkinabe SWSC on Escherichia coli contamination in household stored water in a cluster randomized trial with 49 intervention villages (274 households) and 50 no-intervention control (290 households). Metadata is included as the first sheet of the Excel file. This trial was funded by WaterAid and the Conrad N. Hilton Foundation.
DOI: 10.21227/ch1b-n194
title: Non Linear Battery

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Energy Conversion".In this dataset,
DOI: 10.5066/f757197t
title: Water-level data, selected water-quality data, and the potentiometric dataset for the Mississippi River Valley alluvial aquifer in eastern Arkansas, spring 2014

description: The alluvial aquifer of the Mississippi embayment lies within a syncline plunging south towards the Gulf of Mexico with the axis of the syncline roughly following the Mississippi River (Cushing and others, 1964, Hart and others, 2008). The trough of the syncline is comprised of alluvial and terrace deposits of Quaternary age (Ackerman, 1996). A potentiometric-surface map of the Mississippi River Valley alluvial aquifer represents the altitude at which water would stand in tightly cased wells completed at any location within the study area (Schrader, 2015). Using the altitude of water levels measured in the study area, the potentiometric-surface map depicts points of equal altitude with contours denoting a given water level altitude. The contour lines were created using computer-based program ArcGIS by ESRI (Esri, 2011). Water levels collected in 2014 were use to interpolate water-level contour lines. The direction of water flow from areas of high elevation to low elevation can be interpreted using potentiometric-surface maps and areas of decreased groundwater levels can be identified. Potentiometric-surface maps provide decision makers with information regarding water-level changes over time and can aid in determining areas of increased water use. Ackerman, D.J., 1996, Hydrology of the Mississippi River Valley alluvial aquifer, south-central United States - A preliminary assessment of the regional flow system: U.S. Geological Survey Professional Paper 1416-D, 56 p. [Also available at https://pubs.er.usgs.gov/publication/wri884028] Cushing, E.M., Boswell, B.H., and Hosman, R.L., 1964, General geology of the Mississippi embayment: U.S. Geological Survey Professional Paper 448-B, 28 p. [Also available at http://pubs.usgs.gov/pp/0448b/report.pdf.] Esri, 2011, ArcGIS desktop - Release 10: Redlands, California, Environmental Systems Research Institute. Schrader, T.P., 2015, Water levels and selected water-quality conditions in the Mississippi River Valley alluvial aquifer in eastern Arkansas, 2012: U.S. Geological Survey Scientific Investigations Report 2015-5059, 70 p. available at https://pubs.usgs.gov/sir/2015/5059/
DOI: 10.21227/hmgc-3703
title: kW DC Solar with BMS

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Energy Conversion".
DOI: 10.5281/zenodo.4110110
title: An incandescent metasurface for quasimonochromatic polarized Mid-Wave Infrared emission modulated beyond 10 MHz

description: README : The codes available in this repository are MATLAB scripts. In order to run some of the scripts, users need to download the RETICOLO library available at doi : 10.5281/zenodo.3610175 Light-in-complex-nanostrucutres/RETICOLO and subsequently add this library to their MATLAB search path. 4 folders can be found: EM_simulations: contains scripts to reproduce the electromagnetic simulations presented in the paper. The codes use functions in the RETICOLO library (therefore, please make sure that the folder containing all RETICOLO functions are known to the MATLAB search path). PolarizedFreqResponse: contains raw datasets and ready-to-use analysis scripts to reproduce frequency response curves of the device presented in the paper. The main script to be run is "main.m". EmissivitySpectra: contains raw datasets and ready-to-use analysis scripts to reproduce the emissivity spectrum of the device presented in the paper. Response_to_pulse_simulation: contains raw datasets and ready-to-use analysis scripts to reproduce the pulse response of the device presented in the paper. =============================== DESCRIPTION : This repository contains all datasets and codes used in the following paper : doi : =============================== PAPER ABSTRACT: Incandescent sources such as hot membranes and globars are widely used for mid infrared spectroscopic applications. The emission properties of these sources can be tailored by means of resonant metasurfaces: control of the spectrum, polarization and directivity has been reported. For detection or communication applications, fast temperature modulation is desirable but is still a challenge due to thermal inertia. Reducing thermal inertia can be achieved using nanoscale structures at the expense of a low absorption and emission cross section. Here, we introduce a metasurface that combines nanoscale heaters to ensure fast thermal response and nanophotonic resonances to provide large monochromatic and polarized emissivity. The metasurface is based on platinum and silicon nitride and can sustain high temperatures. We report a peak emissivity of 0.8 and an operation up to 20 MHz, six orders of magnitude faster than commercially available hot membranes.
DOI: 10.5281/zenodo.4110109
title: An incandescent metasurface for quasimonochromatic polarized Mid-Wave Infrared emission modulated beyond 10 MHz

description: README : The codes available in this repository are MATLAB scripts. In order to run some of the scripts, users need to download the RETICOLO library available at doi : 10.5281/zenodo.3610175 Light-in-complex-nanostrucutres/RETICOLO and subsequently add this library to their MATLAB search path. 4 folders can be found: EM_simulations: contains scripts to reproduce the electromagnetic simulations presented in the paper. The codes use functions in the RETICOLO library (therefore, please make sure that the folder containing all RETICOLO functions are known to the MATLAB search path). PolarizedFreqResponse: contains raw datasets and ready-to-use analysis scripts to reproduce frequency response curves of the device presented in the paper. The main script to be run is "main.m". EmissivitySpectra: contains raw datasets and ready-to-use analysis scripts to reproduce the emissivity spectrum of the device presented in the paper. Response_to_pulse_simulation: contains raw datasets and ready-to-use analysis scripts to reproduce the pulse response of the device presented in the paper. =============================== DESCRIPTION : This repository contains all datasets and codes used in the following paper : doi : =============================== PAPER ABSTRACT: Incandescent sources such as hot membranes and globars are widely used for mid infrared spectroscopic applications. The emission properties of these sources can be tailored by means of resonant metasurfaces: control of the spectrum, polarization and directivity has been reported. For detection or communication applications, fast temperature modulation is desirable but is still a challenge due to thermal inertia. Reducing thermal inertia can be achieved using nanoscale structures at the expense of a low absorption and emission cross section. Here, we introduce a metasurface that combines nanoscale heaters to ensure fast thermal response and nanophotonic resonances to provide large monochromatic and polarized emissivity. The metasurface is based on platinum and silicon nitride and can sustain high temperatures. We report a peak emissivity of 0.8 and an operation up to 20 MHz, six orders of magnitude faster than commercially available hot membranes.
DOI: 10.15787/vtt1/te3uog
title: IAP Project: Use of SHRP2 NDS Data to Evaluate Roadway Departure Characteristics - Phase I

description: Project Description ISU: This research was sponsored by Federal Highway Administration Implementation Assistance Program. The purpose of this effort is to support the use of various components of the SHRP2 Naturalistic Driving Study database by personnel from CTRE/ISU. The main objective of this project is to identify factors contributing to roadway departure crashes/near crashes and develop a proof of concept to evaluate road departure risk for two to three roadway types. Data Request ScopeThe study will look at driver, environmental, roadway, and vehicle factors that contribute to roadway crashes and near crashes. The project will also evaluate driver behavior on curves. Data Specification The dataset delivered for this AASHTO Implementation Assistance Program project consisted of a sample of detailed event tables (including trip summaries, vehicle, and driver survey results) ), forward video, and time series variables for 1734 crash-related events and 4665 baseline events from the SHRP2 NDS.
DOI: 10.5281/zenodo.4299817
title: Dataset for 'Atmospheric VOC measurements at a High Arctic site: characteristics and source apportionment'

description: This dataset includes the VOCs (and expanded uncertainties) as well as VOCs (and expanded uncertainties) used in the PMF model as described in 'Pernov, J. B., Bossi, R., Lebourgeois, T., Nøjgaard, J. K., Holzinger, R., Hjorth, J. L., and Skov, H.: Atmospheric VOC measurements at a High Arctic site: characteristics and source apportionment, Atmos. Chem. Phys. Discuss., 2020, 1-36, 10.5194/acp-2020-528, 2020.'
description: {"references": ["Pernov, J. B., Bossi, R., Lebourgeois, T., N\u00f8jgaard, J. K., Holzinger, R., Hjorth, J. L., and Skov, H.: Atmospheric VOC measurements at a High Arctic site: characteristics and source apportionment, Atmos. Chem. Phys. Discuss., 2020, 1-36, 10.5194/acp-2020-528, 2020."]}
DOI: 10.5281/zenodo.4299816
title: Dataset for 'Atmospheric VOC measurements at a High Arctic site: characteristics and source apportionment'

description: This dataset includes the VOCs (and expanded uncertainties) as well as VOCs (and expanded uncertainties) used in the PMF model as described in 'Pernov, J. B., Bossi, R., Lebourgeois, T., Nøjgaard, J. K., Holzinger, R., Hjorth, J. L., and Skov, H.: Atmospheric VOC measurements at a High Arctic site: characteristics and source apportionment, Atmos. Chem. Phys. Discuss., 2020, 1-36, 10.5194/acp-2020-528, 2020.'
description: {"references": ["Pernov, J. B., Bossi, R., Lebourgeois, T., N\u00f8jgaard, J. K., Holzinger, R., Hjorth, J. L., and Skov, H.: Atmospheric VOC measurements at a High Arctic site: characteristics and source apportionment, Atmos. Chem. Phys. Discuss., 2020, 1-36, 10.5194/acp-2020-528, 2020."]}
DOI: 10.5281/zenodo.4300443
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Jocelyn Colella, https://orcid.org/0000-0003-2463-1029. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.21227/1k42-z073
title: Non Linear Battery

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Energy Conversion".In this dataset,
DOI: 10.21227/q0tq-g646
title: kW DC Solar with BMS

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Energy Conversion".
DOI: 10.17632/z3ncgjx4gc.1
title: Data for: The closure of the Rocas Verdes Basin and early tectono-metamorphic evolution of the Magallanes Fold-and-Thrust Belt, southern Patagonian Andes (52-54°S)

description: Dataset of processed major-element composition of phengite, chlorite, epidote, feldspar, and biotite analyzed in samples FC1723, FC1727, FC1749, and FC1757, from Chilean Southern Patagonia (latitudes 52-54°S), in a field work in 2017 under the supervision of Prof. Mauricio Calderón. The mineral chemical composition was determined using the EPMA CAMECA SX100 at Universität Stuttgart, with 5 wavelength-dispersive spectrometers and an energy-dispersive system. Operating conditions were an acceleration voltage of 15 kV, a beam current of 15 nA, a beam size of 1–3 μm or a focused beam (for very small crystals), and 20 seconds counting time on the Kα peak (Ba: Lα) and on the background for each element. The standards used were natural wollastonite (Si, Ca), natural orthoclase (K), natural albite (Na), natural rhodonite (Mn), synthetic Cr2O3 (Cr), synthetic TiO2 (Ti), natural hematite (Fe), natural baryte (Ba), synthetic MgO (Mg), synthetic Al2O3 (Al) and synthetic NiO (Ni). The PaP correction procedure provided by CAMECA was applied. Analytical errors of this method are given by Massonne (2012).
DOI: 10.17632/pk5m9dgkc3.1
title: Data for: Economic Complexity and Growth: Can value-added exports better explain the link?

description: The various data sources are described in the paper.
DOI: 10.5281/zenodo.4299869
title: Results on the Pre-Pazy Wing Model for the 3rd Aeroelastic Prediction Workshop

description: This release contains the datasets for various simulations on the Pre-Pazy Wing from SHARPy, MRM, UM/NAST in time for Scitech 2021.
DOI: 10.5281/zenodo.4300455
title: chameleon cholesky replay

description: replay static dump data replay with static scheduling logs from testing replay executions
DOI: 10.5281/zenodo.4300454
title: chameleon cholesky replay

description: replay static dump data replay with static scheduling logs from testing replay executions
DOI: 10.21227/qhzn-9v70
title: MLCC Acoustic Data (2220 case size, processed)

description: Acoustic measurement data from Multilayer Ceramic Capacitors (MLCCs). Contains preprocessed data from intact and damaged MLCCs for damage detection (classification) purposes.
DOI: 10.21227/1sxx-9x33
title: MLCC Acoustic Data (2220 case size, processed)

description: Acoustic measurement data from Multilayer Ceramic Capacitors (MLCCs). Contains preprocessed data from intact and damaged MLCCs for damage detection (classification) purposes.
DOI: 10.6084/m9.figshare.13109933.v1
title: Position Resolution ZnS:Ag/LiF with CoG

description: The data provide a full characterization, from light output to position resolution and counting rate capability, of a ZnS:Ag/LiF wavelength shifting fibre thermal neutron detector. The files are in different format based on the data acquisition used to perform the measurements. The raw data output from the FPGA are: .eve, .2D and .txt, while the raw data from the ISIS DAE are nexus files.
DOI: 10.6084/m9.figshare.13109933
title: Position Resolution ZnS:Ag/LiF with CoG

description: The data provide a full characterization, from light output to position resolution and counting rate capability, of a ZnS:Ag/LiF wavelength shifting fibre thermal neutron detector. The files are in different format based on the data acquisition used to perform the measurements. The raw data output from the FPGA are: .eve, .2D and .txt, while the raw data from the ISIS DAE are nexus files.
DOI: 10.48420/13292180
title: A colorimetric comparison of sunless with natural skin tan

description: Dataset for "A colorimetric comparison of sunless with natural skin tan".<br>Kinjiro Amano, Kaida Xiao, Sophie Wuerger, Georg Meyer, PLoS One, Nov 2020;<br>preprint on bioRxiv, Nov 2020:https://www.biorxiv.org/content/10.1101/2020.05.14.095778v2<br>
DOI: 10.48420/13292180.v1
title: A colorimetric comparison of sunless with natural skin tan

description: Dataset for "A colorimetric comparison of sunless with natural skin tan".<br>Kinjiro Amano, Kaida Xiao, Sophie Wuerger, Georg Meyer, PLoS One, Nov 2020;<br>preprint on bioRxiv, Nov 2020:https://www.biorxiv.org/content/10.1101/2020.05.14.095778v2<br>
DOI: 10.21957/t7yk-tv70
title: Extended-range reforecasts (43R1)
DOI: 10.5517/ccdc.csd.cc23s5ps
title: CCDC 1959655: Experimental Crystal Structure Determination

description: Related Article: Yanli Yin, Yunqiang Li, Théo P. Gonçalves, Qiangqiang Zhan, Guanghui Wang, Xiaowei Zhao, Baokun Qiao, Kuo-Wei Huang, Zhiyong Jiang|2020|J.Am.Chem.Soc.|142|19451|doi:10.1021/jacs.0c08329
DOI: 10.5517/ccdc.csd.cc23t8ks
title: CCDC 1960705: Experimental Crystal Structure Determination

description: Related Article: Suva Paria, Edoardo Carletti, Michela Marcon, Alessio Cherubini-Celli, Andrea Mazzanti, Marzio Rancan, Luca Dell'Amico, Marcella Bonchio, Xavier Companyó|2020|J.Org.Chem.|85|4463|doi:10.1021/acs.joc.0c00175
DOI: 10.5517/ccdc.csd.cc25ggmr
title: CCDC 2009904: Experimental Crystal Structure Determination

description: Related Article: Eugenia Peresypkina, Martin Bielmeier, Alexander Virovets, Manfred Scheer|2020|Chemical Science|11|9067|doi:10.1039/D0SC03437A
DOI: 10.5517/ccdc.csd.cc25ggns
title: CCDC 2009905: Experimental Crystal Structure Determination

description: Related Article: Eugenia Peresypkina, Martin Bielmeier, Alexander Virovets, Manfred Scheer|2020|Chemical Science|11|9067|doi:10.1039/D0SC03437A
DOI: 10.5517/ccdc.csd.cc256nxz
title: CCDC 2002411: Experimental Crystal Structure Determination

description: Related Article: Haozhong Liang, Bin Hua, Fan Xu, Li-She Gan, Li Shao, Feihe Huang|2020|J.Am.Chem.Soc.|142|19772|doi:10.1021/jacs.0c10570
DOI: 10.21957/ed03-bp86
title: Extended-range reforecasts (43R1) with bias-corrected North Atlantic sea surface temperatures
DOI: 10.5517/ccdc.csd.cc25jnt6
title: CCDC 2012018: Experimental Crystal Structure Determination

description: Related Article: Silke Wolf, Shangxin Wei, Wim Klopper, Stefanie Dehnen, Claus Feldmann|2020|Inorg.Chem.|59|12895|doi:10.1021/acs.inorgchem.0c01948
DOI: 10.5517/ccdc.csd.cc25ksg0
title: CCDC 2013092: Experimental Crystal Structure Determination

description: Related Article: Yan Bing Tan, Mihoko Yamada, Shohei Katao, Yoshiko Nishikawa, Fumio Asanoma, Junpei Yuasa, Tsuyoshi Kawai|2020|Inorg.Chem.|59|12867|doi:10.1021/acs.inorgchem.0c01933
DOI: 10.5517/ccdc.csd.cc25ksh1
title: CCDC 2013093: Experimental Crystal Structure Determination

description: Related Article: Yan Bing Tan, Mihoko Yamada, Shohei Katao, Yoshiko Nishikawa, Fumio Asanoma, Junpei Yuasa, Tsuyoshi Kawai|2020|Inorg.Chem.|59|12867|doi:10.1021/acs.inorgchem.0c01933
DOI: 10.5517/ccdc.csd.cc25kw8x
title: CCDC 2013179: Experimental Crystal Structure Determination

description: Related Article: Nadir Jori, Davide Toniolo, Bang C. Huynh, Rosario Scopelliti, Marinella Mazzanti|2020|Inorg.Chem.Front.|7|3598|doi:10.1039/D0QI00801J
DOI: 10.5517/ccdc.csd.cc25kw9y
title: CCDC 2013180: Experimental Crystal Structure Determination

description: Related Article: Nadir Jori, Davide Toniolo, Bang C. Huynh, Rosario Scopelliti, Marinella Mazzanti|2020|Inorg.Chem.Front.|7|3598|doi:10.1039/D0QI00801J
DOI: 10.5517/ccdc.csd.cc25nh2f
title: CCDC 2015684: Experimental Crystal Structure Determination

description: Related Article: Haozhong Liang, Bin Hua, Fan Xu, Li-She Gan, Li Shao, Feihe Huang|2020|J.Am.Chem.Soc.|142|19772|doi:10.1021/jacs.0c10570
DOI: 10.5517/ccdc.csd.cc25hjrz
title: CCDC 2010931: Experimental Crystal Structure Determination

description: Related Article: Haozhong Liang, Bin Hua, Fan Xu, Li-She Gan, Li Shao, Feihe Huang|2020|J.Am.Chem.Soc.|142|19772|doi:10.1021/jacs.0c10570
DOI: 10.5517/ccdc.csd.cc244b4s
title: CCDC 1970364: Experimental Crystal Structure Determination

description: Related Article: Fanrui Sha, Emily A. Shimizu, Hannah S. Slocumb, Sydney E. Towell, Yi Zhen, Hanna Z. Porter, Michael K. Takase, Adam R. Johnson|2020|Dalton Trans.|49|12418|doi:10.1039/D0DT02557G
DOI: 10.5517/ccdc.csd.cc25t5sz
title: CCDC 2020201: Experimental Crystal Structure Determination

description: Related Article: Bastian Rösch, Thomas Xaver Gentner, Jonathan Eyselein, Alexander Friedrich, Jens Langer, Sjoerd Harder|2020|Chem.Commun.|56|11402|doi:10.1039/D0CC05200K