cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4679916
title: Ranking de Compañias Ecuador (Super de Compañias)

description: El dataset RankingEmpresas, contiene el ranking de las Compañías que conserva la posición del ranking general pero que se ordena en base al tamaño de la Compañía (Activos), como lo define el Código Orgánico de la Producción, Comercio e Inversiones: En este dataset contiene 16 columnas de datos y 60 registros de 3 provincias seleccionadas, las mismas que podrían llegar a extraer de las 24 provincias que tiene Ecuador, se evidencia los siguientes campos: <strong>Ranking_2020: </strong>Es un campo de formato numérico, el mismo que indica el ranking que la compañía tenía en el año 2020. <strong>Ranking_2019: </strong>Es un campo de formato numérico, el mismo que indica el ranking que la compañía tenía en el año 2019. <strong>Posicion_Provincia:</strong> Es un campo de formato numérico, el mismo que indica el ranking que la compañía tiene durante el año 2021. <strong>Actividad:</strong> Es un campo de formato carácter, el mismo que viene con valores en blanco. <strong>Nombre_Empresa:</strong> Es un campo de formato carácter, el mismo que indica el nombre de la Compañía rankeada. <strong>Provincia: </strong>Es un campo de formato carácter, el mismo que indica la provincia en donde la Compañía está registrada. <strong>Ciudad: </strong>Es un campo de formato carácter, el mismo que indica la ciudad en donde la Compañía está registrada. <strong>Tamanio: </strong>Es un campo de formato carácter, el mismo que indica el tamaño de la Compañía, (Microempresa, Pequeña, Mediana y Empresa Grande). <strong>Activos: </strong>Es un campo de formato numérico, el mismo que indica el valor de los activos que tiene la Compañía al cierre del período 2021. <strong>Patrimonio: </strong>Es un campo de formato numérico, el mismo que indica el valor del patrimonio que tiene la Compañía al cierre del período 2021. <strong>Venta: </strong>Es un campo de formato numérico, el mismo que indica el valor de las ventas que tiene la Compañía ha realizado al cierre del período 2021. <strong>Ut_Ant_Imp: </strong>Es un campo de formato numérico, el mismo que indica el valor de la utilidad antes de impuestos que tiene la Compañía al cierre del período 2021. <strong>Ut_Ejercicio: </strong>Es un campo de formato numérico, el mismo que indica el valor de la utilidad del ejercicio que tiene la Compañía al cierre del período 2021. <strong>Ut_Neta: </strong>Es un campo de formato numérico, el mismo que indica el valor de la utilidad neta que tiene la Compañía al cierre del período 2021. <strong>Imp_Rent_Causado:</strong> Es un campo de formato numérico, el mismo que indica el valor impuesto a la renta causado de la Compañía al cierre del período 2021. <strong>Ingreso_Total: </strong>Es un campo de formato numérico, el mismo que indica el valor del ingreso que tiene la Compañía al cierre del período 2021.
description: Companias,Ecuador
DOI: 10.5281/zenodo.4679925
title: Conjunto de anuncios de viviendas publicados en Gran Canaria Abril 2021

description: El dataset contiene la información básica de los anuncios publicados en el portal Fotocasa.es para el territorio de la isla de Gran Canaria. Esta información es la que aparece en las “tarjetas” de cada anuncio en el listado de anuncios que vemos después de seleccionar la región.
DOI: 10.5281/zenodo.4679924
title: Conjunto de anuncios de viviendas publicados en Gran Canaria Abril 2021

description: El dataset contiene la información básica de los anuncios publicados en el portal Fotocasa.es para el territorio de la isla de Gran Canaria. Esta información es la que aparece en las “tarjetas” de cada anuncio en el listado de anuncios que vemos después de seleccionar la región.
DOI: 10.5517/ccdc.csd.cc23dllq
title: CCDC 1948523: Experimental Crystal Structure Determination

description: Related Article: Pengfei Li, Linghua Wang, Saima Perveen, Yizhao Ouyang, Shuai Zhang, Jiao Jiao, Gang He, Yong Nie|2021|Chem.-Eur.J.|27|5754|doi:10.1002/chem.202005014
DOI: 10.5517/ccdc.csd.cc23k6lh
title: CCDC 1952956: Experimental Crystal Structure Determination

description: Related Article: Pengfei Li, Linghua Wang, Saima Perveen, Yizhao Ouyang, Shuai Zhang, Jiao Jiao, Gang He, Yong Nie|2021|Chem.-Eur.J.|27|5754|doi:10.1002/chem.202005014
DOI: 10.5517/ccdc.csd.cc23n5pn
title: CCDC 1955811: Experimental Crystal Structure Determination

description: Related Article: Zaojuan Qi, Weihe Li, Yanning Niu, Enrico Benassi, Bo Qian|2021|Org.Lett.|23|2399|doi:10.1021/acs.orglett.0c04235
DOI: 10.5517/ccdc.csd.cc25w70b
title: CCDC 2022161: Experimental Crystal Structure Determination

description: Related Article: Yong-Liang Ban, Long You, Kai-Wen Feng, Fei-Cen Ma, Xiao-Ling Jin, Qiang Liu|2021|J.Org.Chem.|86|5274|doi:10.1021/acs.joc.1c00167
DOI: 10.5517/ccdc.csd.cc260j1t
title: CCDC 2026285: Experimental Crystal Structure Determination

description: Related Article: Yanfeng Gao, Xuange Zhang, Xiyuan Zhang, Zhiwei Miao|2021|Org.Lett.|23|2415|doi:10.1021/acs.orglett.1c00073
DOI: 10.5517/ccdc.csd.cc260w26
title: CCDC 2026627: Experimental Crystal Structure Determination

description: Related Article: Yanfeng Gao, Xuange Zhang, Xiyuan Zhang, Zhiwei Miao|2021|Org.Lett.|23|2415|doi:10.1021/acs.orglett.1c00073
DOI: 10.5517/ccdc.csd.cc26p187
title: CCDC 2046008: Experimental Crystal Structure Determination

description: Related Article: Corey R. Martin, Gabrielle A. Leith, Preecha Kittikhunnatham, Kyoung Chul Park, Otega A. Ejegbavwo, Abhijai Mathur, Cameron R. Callahan, Shelby L. Desmond, Myles R. Keener, Fiaz Ahmed, Shubham Pandey, Mark D. Smith, Simon R. Phillpot, Andrew B. Greytak, Natalia B. Shustova|2021|Angew.Chem.,Int.Ed.|60|8072|doi:10.1002/anie.202016826
DOI: 10.5517/ccdc.csd.cc26p198
title: CCDC 2046009: Experimental Crystal Structure Determination

description: Related Article: Corey R. Martin, Gabrielle A. Leith, Preecha Kittikhunnatham, Kyoung Chul Park, Otega A. Ejegbavwo, Abhijai Mathur, Cameron R. Callahan, Shelby L. Desmond, Myles R. Keener, Fiaz Ahmed, Shubham Pandey, Mark D. Smith, Simon R. Phillpot, Andrew B. Greytak, Natalia B. Shustova|2021|Angew.Chem.,Int.Ed.|60|8072|doi:10.1002/anie.202016826
DOI: 10.5517/ccdc.csd.cc26pstj
title: CCDC 2046738: Experimental Crystal Structure Determination

description: Related Article: Dandan Wang, Fei Liang, Xinyuan Zhang, Zhanggui Hu, Yicheng Wu|2021|Cryst.Growth Des.|21|2348|doi:10.1021/acs.cgd.0c01741
DOI: 10.5517/ccdc.csd.cc26psvk
title: CCDC 2046739: Experimental Crystal Structure Determination

description: Related Article: Dandan Wang, Fei Liang, Xinyuan Zhang, Zhanggui Hu, Yicheng Wu|2021|Cryst.Growth Des.|21|2348|doi:10.1021/acs.cgd.0c01741
DOI: 10.5517/ccdc.csd.cc26rn0n
title: CCDC 2048511: Experimental Crystal Structure Determination

description: Related Article: Yanfeng Gao, Xuange Zhang, Xiyuan Zhang, Zhiwei Miao|2021|Org.Lett.|23|2415|doi:10.1021/acs.orglett.1c00073
DOI: 10.5281/zenodo.4679943
title: Scraping de meneame.net

description: Dades de scraping de 250 agregats de meneame.net del 12/04/21 en formats csv i Excel xlsx
DOI: 10.5281/zenodo.4679942
title: Scraping de meneame.net

description: Dades de scraping de 250 agregats de meneame.net del 12/04/21 en formats csv i Excel xlsx
DOI: 10.6084/m9.figshare.14399393
title: Questionnaire.docx

description: This is a questionnaire
DOI: 10.6084/m9.figshare.14399453
title: N_Raw_data.xlsx

description: This is data collected during the assessment of Knowledge and attitude of secondary school students in a rural secondary school in Nakaseke, Uganda towards HIV transmission and treatment
DOI: 10.6084/m9.figshare.14399453.v1
title: N_Raw_data.xlsx

description: This is data collected during the assessment of Knowledge and attitude of secondary school students in a rural secondary school in Nakaseke, Uganda towards HIV transmission and treatment
DOI: 10.17608/k6.auckland.14399519
title: Supplementary_tables

description: Supplementary Tables 1-9
DOI: 10.17608/k6.auckland.14399519.v1
title: Supplementary_tables

description: Supplementary Tables 1-9
DOI: 10.17608/k6.auckland.14399531
title: Supplementary_tables

description: Supplementary tables 1-9
DOI: 10.17608/k6.auckland.14399531.v1
title: Supplementary_tables

description: Supplementary tables 1-9
DOI: 10.17608/k6.auckland.14399459
title: NiPPeR MetaPhlAn profiles

description: MetaPhlAn profiles from the NiPPeR Study; gut microbiome taxonomic composition of ten mothers and their infants 6 months after birth.
DOI: 10.17608/k6.auckland.14399459.v2
title: NiPPeR MetaPhlAn profiles

description: MetaPhlAn profiles from the NiPPeR Study; gut microbiome taxonomic composition of ten mothers and their infants 6 months after birth.
DOI: 10.17608/k6.auckland.14399459.v1
title: NiPPeR MetaPhlAn profiles

description: MetaPhlAn profiles from the NiPPeR Study; gut microbiome taxonomic composition of ten mothers and their infants 6 months after birth.
DOI: 10.6084/m9.figshare.14399540
title: non-coding RNAs information

description: The sequence files of lotus ncRNAs
DOI: 10.6084/m9.figshare.14399540.v1
title: non-coding RNAs information

description: The sequence files of lotus ncRNAs
DOI: 10.25959/9hys-kw67
title: AUS_Coastal_Litter_2013-19

description: Litter observed along the coastline of Australia in 32 different local government areas (LGAs). Data recorded using methodology and data sheets found at https://research.csiro.au/marinedebris/resources/ 

Dataset also contains the waste management strategy changes at each LGA, and environmental and social factors that potential effect the distribution and accumulation of litter along the Australian coastline. 
Details of each variable contained in the dataset are found in the metadata file.
DOI: 10.6084/m9.figshare.14399363
title: Data for "Decoding ionic conductivity and reordering in cation-disordered pyrochlores"

description: Datasets, codes and LAMMPS input files related to the paper:<br>Decoding ionic conductivity and reordering in cation-disordered pyrochlores by Ajay Annamareddy and Jacob Eapen, <i>Philosophical Transactions A</i> (2021).<br> Included here· Data for Figures· LAMMPS input file· C++ files: (<i>Py_configuration.cpp</i>, <i>100_contour.cpp</i>, <i>110_contour.cpp</i>, <i>tetsites.cpp).</i><i><br></i>Please see README.txt for more information.<br>
DOI: 10.6084/m9.figshare.14399900
title: Supplementary Table 1.xlsx

description: Original RNA-seq data for analyzing gene signatures and prognostic values of N6-methyladenosine related genes in ovarian cancer.
DOI: 10.6084/m9.figshare.14399900.v1
title: Supplementary Table 1.xlsx

description: Original RNA-seq data for analyzing gene signatures and prognostic values of N6-methyladenosine related genes in ovarian cancer.
DOI: 10.6084/m9.figshare.14374535
title: Test Item

description: This is a test file.
DOI: 10.6084/m9.figshare.14374535.v1
title: Test Item

description: This is a test file.
DOI: 10.34808/a6sj-5v57
title: The rovibrational energy levels of the diatomic silver anion and neutral silver dimer

description: The process of a two-channel decay of the diatomic silver anion (Ag2-), namely the spontaneous electron ejection giving Ag2 + e- and the dissociation leading to Ag- + Ag is theoretically studied. The ground state potential energy curves (PECs) of the neutral silver dimer and anionic silver diatomic molecule are calculated using the single reference coupled-cluster method with singles and doubles, and perturbative triples (CCSD(T)). The proper pseudopotential and optimized basis set are used in the presented approach. The interaction energies are corrected for the basis set superposition error (BSSE) by counterpoise (CP) correction. Based on the energies of rovibrational levels calculated using PECs, we are able to characterize the decay channels and compare our results with the experimental data. Having the ground state PEC of an anionic system, we calculate the quantum dynamics (QD) of the dissociation process, which allows us to calculate the widths and lifetimes of highly-lying rovibrational levels. The predissociation lifetimes for quasibond states with small widths of levels are treated with a time-independent approach. We also present the non-adiabatic coupling matrix element between chosen initial and final vibrational states of Ag2- and Ag2, which allow us to estimate the spontaneous electron emission lifetimes.
The dataset contains the main file of data with rovibrational energy levels of Ag2- and Ag2 molecules (Ag2m_Ag2_rovibrational_energy_levels_J0_J535.csv) as well as the files of Gnuplot script allowing to create the figure with the map of rovibrational energy levels:
Ag2m_Ag2_map_of_rovibrational_energy_levels.gnuplot;
Ag2m_Ag2_map_of_rovibrational_energy_levels_for_gnuplot_script.dat;
Ag2m_Ag2_map_of_rovibrational_energy_levels_gnuplot_figure.eps.
The main file related to the rovibrational energy levels of Ag2- and Ag2 molecules is arranged in 1608 columns. The rotational quantum number J varies from 0 to 535, so the data connected with each specific J are organized within the following three columns:
vib_nr_J – the vibrational quantum number v of the Ag2- or Ag2 molecule corresponds to the specific quantum number J;
flag_J – the flag informs if the rovibrational energy level (v, J) is associated with the Ag2- or Ag2 dimer;
J – the energy of the rovibrational level (v, J) of the Ag2- or Ag2 molecule given in the units of hartree.
To create the figure with the map of rovibrational energy levels use the Gnuplot program (http://www.gnuplot.info/) and the following shell command:
gnuplot Ag2m_Ag2_map_of_rovibrational_energy_levels.gnuplot
All files should be placed in one directory.
DOI: 10.34808/rrs6-4871
title: The spontaneous electron emission and rotational predissociation lifetimes of the diatomic silver anion

description: The process of a two-channel decay of the diatomic silver anion (Ag2-), namely the spontaneous electron ejection giving Ag2 + e- and the dissociation leading to Ag- + Ag is theoretically studied. The ground state potential energy curves (PECs) of the neutral silver dimer and anionic silver diatomic molecule are calculated using the single reference coupled-cluster method with singles and doubles, and perturbative triples (CCSD(T)). The proper pseudopotential and optimized basis set are used in the presented approach. The interaction energies are corrected for the basis set superposition error (BSSE) by counterpoise (CP) correction. Based on the energies of rovibrational levels calculated using PECs, we are able to characterize the decay channels and compare our results with the experimental data. Having the ground state PEC of an anionic system, we calculate the quantum dynamics (QD) of the dissociation process, which allows us to calculate the widths and lifetimes of highly-lying rovibrational levels. The predissociation lifetimes for quasibond states with small widths of levels are treated with a time-independent approach. We also present the non-adiabatic coupling matrix element between chosen initial and final vibrational states of Ag2- and Ag2, which allow us to estimate the spontaneous electron emission lifetimes.
The dataset contains two files:
Ag2m_lifetime_rotational_predissociation.csv,
Ag2m_Ag2_lifetime_spontaneous_electron_emission.csv.
The file related to the rotational predissociation lifetimes of the Ag2- molecule is arranged in five columns. v and J are the vibrational and rotational quantum numbers, respectively, which characterize the quasibond states of the Ag2- molecule. E denotes the energy of the level given in the units of cm^-1. The level_width and lifetime columns are the values of width and lifetime of the specific rovibrational quasibond level. The level widths are given in cm^-1 units, while lifetimes are in seconds.
The file related to the spontaneous electron emission lifetimes of the Ag2- molecule is arranged in six columns. The kinetic energies of the ejected electrons equal to the differences between the initial and final rovibronic states of the Ag2- and Ag2 molecules, respectively. We assume that in this process the rotational quantum number J is equal to zero. The first two columns denote the initial vibrational quantum number (vAg2m) of Ag2- molecule and the final vibrational quantum number (vAg2) of the neutral silver dimer, respectively. delta_E given in units of cm^-1 is energy spacing between initial and final rovibrational levels, related to the kinetic energy of the ejected electron. The module of the vibrational non-adiabatic coupling matrix element [a.u.] is presented in the fourth column (module_Lambda_fi). prob_autodetachment and lifetime columns denote the probability of the electron autodetachment per unit time given in 1/s units and the spontaneous electron emission lifetime given in seconds, respectively.
DOI: 10.5281/zenodo.4575552
title: Data supplementing the publication " Perceptual Difficulty Persistently Increases Dominance in Binocular Rivalry - Even Without a Task"

description: This repository contains data and example code for the publication Einhäuser, W., Sandrock, A., & Schütz, A. (2021). Perceptual Difficulty Persistently Increases Dominance in Binocular Rivalry - Even Without a Task. Perception, 50(4), 343-366. https://doi.org/10.1177/0301006621999929 The file <em>allData.mat</em> contains the following variables of dimension 24 x 16 x 16, where the first dimension is the observer, the second the block, and third the trial. OKNrawGain –each entry in the cell contains the mean OKN gain for each slow phase, dimension of each entry is 1 x trial duration, where each sample corresponds to one millisecond in the trial; fast phases and otherwise missing data are set to NaN; empty for trials 9 through 16 in blocks 1-4 and 13-16. diffBlue – difficulty level for the blue stimulus (1 easy, 2 difficult) diffRed – difficulty level for the red stimulus (1 easy, 2 difficult) eyeBlue – eye in which the blue stimulus is presented (1 – left, 2-right) eyeRed – eye in which the red stimulus is presented (1 – left, 2-right) idxButton – time point in which button was pressed (only for blocks 5 through 12, NaN otherwise) isCorrect – 1 if response was correct, 0 if response was incorrect, NaN for no-task trials The files figure2.m through figure6and7.m illustrate the use of this datafile by generating the respective figures of the publication.
description: This research was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—project number 222641018—SFB/TRR 135, B2 and B4.
DOI: 10.5281/zenodo.4575551
title: Data supplementing the publication " Perceptual Difficulty Persistently Increases Dominance in Binocular Rivalry - Even Without a Task"

description: This repository contains data and example code for the publication Einhäuser, W., Sandrock, A., & Schütz, A. (2021). Perceptual Difficulty Persistently Increases Dominance in Binocular Rivalry - Even Without a Task. Perception, 50(4), 343-366. https://doi.org/10.1177/0301006621999929 The file <em>allData.mat</em> contains the following variables of dimension 24 x 16 x 16, where the first dimension is the observer, the second the block, and third the trial. OKNrawGain –each entry in the cell contains the mean OKN gain for each slow phase, dimension of each entry is 1 x trial duration, where each sample corresponds to one millisecond in the trial; fast phases and otherwise missing data are set to NaN; empty for trials 9 through 16 in blocks 1-4 and 13-16. diffBlue – difficulty level for the blue stimulus (1 easy, 2 difficult) diffRed – difficulty level for the red stimulus (1 easy, 2 difficult) eyeBlue – eye in which the blue stimulus is presented (1 – left, 2-right) eyeRed – eye in which the red stimulus is presented (1 – left, 2-right) idxButton – time point in which button was pressed (only for blocks 5 through 12, NaN otherwise) isCorrect – 1 if response was correct, 0 if response was incorrect, NaN for no-task trials The files figure2.m through figure6and7.m illustrate the use of this datafile by generating the respective figures of the publication.
description: This research was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—project number 222641018—SFB/TRR 135, B2 and B4.
DOI: 10.6084/m9.figshare.14400542
title: Figure_3-Phylogenetic_tree_reconstruction_ML_tree

description: These are the low datas of maximum likelihood phylogenetic analysis by IQ-TREE.
DOI: 10.6084/m9.figshare.14400542.v1
title: Figure_3-Phylogenetic_tree_reconstruction_ML_tree

description: These are the low datas of maximum likelihood phylogenetic analysis by IQ-TREE.
DOI: 10.6084/m9.figshare.14400584
title: Bayes_tree_for_Figure_S4

description: These are low datas for Bayesian phylogenetic tree by MrBayes.
DOI: 10.6084/m9.figshare.14400584.v1
title: Bayes_tree_for_Figure_S4

description: These are low datas for Bayesian phylogenetic tree by MrBayes.
DOI: 10.15151/esrf-es-413765459
title: Probing phase transitions in ferroelectric domain walls

description: Repeat overnight measurement of IHHC3613 plus 3D sxdm maps
DOI: 10.15151/esrf-es-406762563
title: Phase Contrast Imaging of the Li-Ion battery Structure

description: The change in micro structured of an aging Li-Ion battery is today not well understood. The aim of this experiment is to commission the beamline capacity to image a battery in therms of maximum frame rate and resolution. Once the optimal set-up will be found, images of batteries at differents ages will be acquired,
DOI: 10.15151/esrf-es-414553108
title: X-ray study of Pr2NiO4 single crystals

description: We study the crystal and electronic structures and ionic dynamics of Pr2NiO4 by XAS/XES at different temperatures
DOI: 10.15151/esrf-es-406687249
title: Operando XRD investigations of PtNiIr ORR octahedra catalysts

description: Even after decades of research, the main bottleneck in proton exchange membrane fuel cell (PEMFC) is the inefficient catalyst for cathodic oxygen reduction reaction (ORR) limiting both maximum current density and efficiency. Recent studies have shown that shape-controlled octahedra oh-PtNiIr nanoparticles (NPs) exhibit 3-fold increasement in activity when compared to commercial Pt catalyst and are almost 3 times more durable than undoped oh-PtNi catalyst in standard RDE experiments. However, when transferred into the membrane electrode assembly (MEA) of a fuel cell, these catalysts suffer severe degradation under high current density operation. The reason for such a loss in mass activity is unclear and crucial to understand, in order to use these materials in commercial cells. We would like to perform an operando SAXS/WAXS measurement to track down the oh-PtNiIr NPs’ degradation processes at high current densities available in the PEMFC device.
DOI: 10.15151/esrf-es-404692670
title: High-pressure behavior of the local atomic structure in 2D ferromagnet Fe3GeTe2

description: Two dimensional ferromagnets have been discovered which consists of layered van der Waals systems. They allow tuning material properties to greater extent compared to the classical 3D ferromagnets. They have potential applications in spintronics and electronic devices. Only few vdW ferromagnet exists, among them Fe3GeTe2 (FGT) has a superior Tc (220 K bulk). The features of these vdW interactions can be modulated, being the key to control the coupling between inter-layer properties. This mechanism, the change of vdW features under different conditions, its effect on the physical properties are still poorly understood. We propose to study the inter-layer interactions and local environment at Fe and Ge using XAS under extreme condition. XAS is a method to depict changes at the atomic level as a function of external parameters (P, T). The new knowledge on the local atomic structure in FGT as a function of P and T will allow a better shaping of materials for industrial applications.
DOI: 10.15151/esrf-es-410831925
title: Nano-tomography of Solid Oxide Cells and Battery Electrodes

description: Nano-tomography of Solid Oxide Cells and Battery Electrodes
DOI: 10.6084/m9.figshare.14400617
title: Low datas for evolutionary analyses

description: This folder contains low datas for evolutionary analyses by IQ-TREE, Mrbayes, Codeml, and RELAX in hyphy.