cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2smgvjr7np.1
title: Fossil isotopic constraints (C, O and 87Sr/86Sr) on Miocene shallow marine incursions in Western and Eastern Amazonia: Supplementary Materials

description: Title: Fossil isotopic constraints (C, O and 87Sr/86Sr) on Miocene shallow marine incursions in Western and Eastern Amazonia: Supplementary Materials Version: 1.0 Date of Release: 2020/06/05 Identifier: doi: 10.17632/2smgvjr7np.1 Permalink: http://dx.doi.org/10.17632/2smgvjr7np.1 Contact information: Andre M. V. Alvim, Universidade de Brasilia, Darcy Ribeiro Campus, Asa Norte 70910-900 Brasilia, DF - Brazil, andre.mavaal@gmail.com Dates of data collection: 11/2018-12/2019 This directory contains the following supplementary materials: • Table 1 - Geographic location and stratigraphic position of the analyzed Miocene fossil samples. • Table 3 - Table of isotopic and geochemical data of the analyzed Miocene fossil samples. • Table 4 - Vital effect analysis using the stable isotopic composition of the analyzed Miocene fossil samples. • Table Extra - Binary mixing models for paleosalinity estimates of figure 6 of the manuscript Tables 1, 3 and 4 above are cited in the original manuscript. In manuscript results and discussion sections, Table 3 and Table Extra had the following roles: • Table 3 - Stable and strontium isotopic data from this table were treated in Origin software (version Pro 8) in order to elaborate the Figures 3 and 4 of the manuscript; • Table Extra - The mixing models presented in Figure 6 of the manuscript were calculated in this table using strontium isotopic data from Table 3 (above), and Equation 1 and Table 5 of the manuscript.
DOI: 10.17632/4cnj89zdzj.1
title: Materials Testing and Data Analysis

description: Data obtained by testing materials for replacement of sand slag with natural sand in concrete and subsequent analysis which includes comparison and calculation
DOI: 10.17632/r72b72zpw5.1
title: Data Tabulation of Knowledge Sharing Intentions 2020

description: This data to support the quantitative research of knowledge sharing intentions
DOI: 10.17632/vd637t8rx6.1
title: Data for: Noise reduction in the spectral domain of hyperspectral images using denoising autoencoder methods

description: Unpreprocessed pixel-wise spectra of milk powder, rice flour and soy flour. Three folders are included, with the name containing milk powder, rice flour and soy flour. In each folder, 36 .csv files containing 10,000 pixel-wise spectra can be found. Each row is a pixel sample, each column is a wavelength variable.
DOI: 10.17632/y44xgdp7wn.1
title: Dataset for the numerical study of the optical efficiency of a Parabolic Trough Collector at different concentration ratios using SolTrace software.

description: En se basant sur les résultats de recherches réalisés ces derniers années, il a été démontré que le Ratio de Concentration présente une influence sur la performance global des collecteurs solaires cylindro-parabolique. Notament ce paramètre influe sur l'entropie et l'efficience thermique. De ce fait, sa variation pourait également avoir des conséquences sur l'éfficience optique du concentrateur. C'est a juste titre qu'il a été entrepris cette étude qui vise a comparer l'éfficience optique de trois modèles de concentrateurs distingués par trois differentes ratio de concentration en les simulant numeriquement para la méthode MCRT atravers le logiciel SolTrace. En effet, les trois valeurs du ratio de concentretion e les données de simulation ont été obtenus en optimisant les paramètres géométriques e optiques du concentrateur par le biais des équations mathématiques qui gouvernent son fonctionement. La simulation numérique a été fait en maintenant la distance du foyer constante a 1,75. Après la simulation numérique, les resultats obtenus sont présentés sous deux banques de données pour chaque modèle de collecteur : le flux de chaleur autour de du tube absorbeur e les points dínterssections des rayons solaires avec les éléments du concentrateur.
DOI: 10.17632/728wjtpv92.1
title: Dataset on experimental study on the interaction between inner air and enveloping membrane of inflated membrane tubes
DOI: 10.17632/k3xxscmhbr.1
title: AMOS Output Result of Knowledge Sharing Intentions

description: This data is to support the quantitatitive research of Knowledge Sharing Intentions
DOI: 10.17632/wj96f5tvx6.2
title: Современное представление о преподавании иностранных языков в вузе

description: Формирование в России как суверенном государстве открытого общества с развитыми международными связями, настоятельная потребность интеграции в мировую культуру определяют новый социальный заказ общества по отношению к владению иностранными языками. Одной из важнейших проблем в этой связи явилась разработка Программы непрерывного обучения иностранным языкам. Дальнейшей разработки требует проблема преемственности. Новые технологии с распространением Интернет занимают значительное место в образовании, в том числе в обучении иностранным языкам.
DOI: 10.17632/7h2cx3fbj2.1
title: Comparabilidad de las encuestas latinoamericanas con información sobre dependencia, con la encuesta SHARE 2019 de la UE. Argentina, Brasil, Chile, Colombia, México y Uruguay.

description: Ofrece la información descriptiva de seis encuestas latinoamericanas de envejecimiento, salud, discapacidad y/o características socioedemográficas. Este material presenta una comparación de dificultad y/o necesidad de ayuda para la realización de la vida diaria, de modo de poder comparar internacionalmente.
DOI: 10.17632/jkvz7jrwny.1
title: COVID-19 Ventilators: Schematic representation

description: This dataset presents a schematic representation of some of the currently acknowledged solutions from the open-source projects of ventilators, made to challenge the COVID-19 pandemic. The framework is composed by two graphical tools: the Problem-Solution-Network (PSN) and the chart of structural solutions. Red boxes in the PSN represents the rows of the chart. Please note that the file type "graphml" can be open and edited with the software yEd (available at www.yworks.com/products/yed).
DOI: 10.17632/nn9hztxybb.1
title: Survey based dataset on disruptions and disruption management in industrial assembly of Germany, Austria and Switzerland

description: The dataset is based on information that was collected in the form of a survey in 2015 and 2016 on the subject of disruptions in industrial assembly. Over 100 managers and leading experts of various companies in Germany, Austria and Switzerland, who are responsible for the assembly or its planning department, took part in the survey. The survey includes questions about the causes, effects and handling of disruptions in the assembly. In addition to the topic of disruptions, information on company data was also collected, such as the type of assembly organization, size of the company or type of product and other details. There are different question forms in which the participants could choose and partly also formulate their own answers. The dataset was made anonymous as was promised to the survey participants at the outset of the survey. This dataset is part of the PhD thesis of Johannes Wagner at RWTH Aachen University (Dr.-Ing., passed with distinction in 2019).
DOI: 10.17632/wp356sg9jv.1
title: Evaluation the effectiveness of tobacco-pack pictorial warnings using subliminal priming paradigm

description: To examined the effectiveness of GWL, we developed an experiment where GWL was used as a subliminal priming. The experiment was structured as follows. The number was presented to the participants and it was necessary to determine whether it was even or not. There were three experimental series: without a subliminal stimulus, exposure of GWL as subliminal, exposure of nasty stimuli (similar to GWL) as subliminal. An experiment program was developed using the Mouse Tracker program. The subject was presented with an instruction on the monitor screen: “The numbers from 0 to 9 will appear on the screen. Your task is to press the EVEN button for even numbers, ODD for odd numbers, ZERO for zero. Try to respond as quickly and accurately as possible”. Before the experiment was started, the participants were asked to go through it in test mode to get used to the program and mouse control. Study 1. Exposure of a task without a subliminal stimulus. The part without subliminal stimulus measured the normal performance of motor characteristics. In this part of experiment, a mask was presented instead of a subliminal stimulus. Exposure time of mask and subliminal stimulus was 30 ms [4]. Study 2. Exposure of GWL as subliminal. The second part of experiment included subliminal stimuli before target task. As subliminal stimulus was used GWL which demonstrate the effects of smoking, that used in Russia. We have 10 different stimulus that image such disease: periodontal disease, impotence, emphysema, oncological diseases, premature birth, amputation, gangrene, throat cancer, lung cancer, blindness. Study 3. Exposure of nasty stimuli as subliminal. In this part, we examined how emotionally unpleasant stimuli that aren’t related with GWL influence to the reaction time. This part useful to share the reaction to GWL and just unpleasant emotional stimuli, which can cause fear and shock. We used images from the atlas on pathological anatomy as subliminal stimuli, which are comparable to images on the GWL. There were 10 stimuli demonstrated. Images of the following pathologies were taken: Tuberculosis Lymphadenitis, Oncocytoma, Condyloma acuminatum: Scrotum, Adrenal Cortical Adenoma, Adenocarcinoma, Non-Hodgkin Lymphomas, Lymphomatoid Granulomatosis, Atrial Myxoma, Infective Endocarditis, Follicular Lesions of Ovary . The experiment included 30 presentations of each stimuli group. Cognitive processes take time. Reaction time is the dominant measure of cognitive processing. Reaction time spending for choose stimulus and the reaction time before (decision time) mouse movement were estimated.
DOI: 10.17632/wssjnsmftw.2
title: From short-term surgical missions towards sustainable partnerships A survey among active members in the global surgical workforce

description: questions and answers of a survey amongst health workers
DOI: 10.17632/4hgdz8685w.1
title: Daily and monthly atmospheric variables and water salinity measurements at the Pichavaram mangrove and Kaziranga National Park in India
DOI: 10.17632/5b742jv7t5.1
title: Dissipation profiles for PIPERS dataset

description: Dataset is described in a paper which will be submitted June 5 2020 or soon after, for review, as a journal article "Estimates of dissipation of wave energy by sea ice for a field experiment in the Southern Ocean, using model/data inversion" by Rogers, Meylan, and Kohout
DOI: 10.17632/gwhbbtkpx6.1
title: Characterization of retinal autofluorescent lesions in a mouse model of juvenile neuronal ceroid lipofuscinosis (CLN3 disease)

description: This dataset contains the raw image files for the figures presented in the Data in Brief article "Characterization of retinal autofluorescent lesions in a mouse model of juvenile neuronal ceroid lipofuscinosis (CLN3 disease)". Please refer to the article for description.
DOI: 10.17632/sdmf5jnr4z.1
title: Data for: What Drives Material Use in the EU? Evidence from Club Convergence and Decomposition Analysis on Domestic Material Consumption and Material Footprint

description: This document includes dataset used in the paper "What Drives Material Use in the EU? Evidence from Club Convergence and Decomposition Analysis on Domestic Material Consumption and Material Footprint".
DOI: 10.17632/wfx8rr5wkt.2
title: Synthetic fecal marker concentration datasets

description: Synthetic fecal marker concentration datasets, the scripts for SAS and R to fit these data to a G2 and a G2G1 digesta kinetic model, and methodological details.
DOI: 10.17632/y4b7rn57ph.1
title: PPR LS vs NLS vs NLS+IL1B data
DOI: 10.17632/7h8zhz8p3c.1
title: 2E-VRP-SBS instances

description: In considering route optimization at a series of express stages from pickup to delivery via the intercity linehaul, we introduce the two-echelon vehicle routing problem with satellite bi-synchronization (2E-VRP-SBS) from the perspective of modeling the routing problems of two-echelon networks. The 2E-VRP-SBS involves the inter-satellite linehaul on the first echelon, and the pickups from senders to origin satellites (i.e., satellites for cargo collection) and deliveries from destination satellites (i.e., satellites for cargo deliveries) to receivers on the second echelon. The 2E-VRP-SBS integrates satellite bi-synchronization constraints, multiple vehicles, and time window constraints on the two-echelon network and aims to find cost-minimizing routes for various types of trucks. Small-scale instances. Considering the computing abilities of CPLEX 12.4 indicated by some computational trials, there are one depot, three origin satellites, and three destination satellites on the first echelon. The number of senders or receivers served by an origin satellite or a destination satellite is assumed to be the same, and the number of senders or receivers served by a satellite is 5, 6, 7, 8, or 9. Each small-scale instance is denoted by num_os-num_ds-num_gc-sn, where num_os or num_ds denotes the number of origin satellites or destination satellites, num_gc is the number of senders or receivers served by a satellite, sn is the instance sequence for the same num_os, num_ds, and num_gc, and sn is 1, 2, 3, 4, 5, 6, 7, 8, or 9. We designed the large-scale instances by referring to data provided by a logistics company in China. Referring to the locations of 17 distribution-centers (DCs), which are located in 17 prefecture-level cities in Shandong province, we designed the nodes on the first echelon as follows. First, it is assumed that each DC can be used as the depot, i.e., the depot location is the same as one of the DC locations. The large-scale instances are distinguished by the location of the depot. Second, there are 17 origin satellites with different locations, and the location of an origin satellite is the same as the location of a DC. Third, there are 17 destination satellites with different locations. The location of a destination satellite is the same as the location of a DC, and the location of an origin satellite should not be the same as the location of a destination satellite, if there are inter-satellite linehaul demand between the origin satellite and the destination satellite. Generally speaking, we designed 17 large-scale instances that are distinguished by the location of the depot. The number of senders or receivers served by an origin satellite or a destination satellite is assumed to be the same. The number of senders or receivers served by a satellite is 120. The sending-receiving relationships between senders served by an origin satellite and receivers served by destination satellites are randomly generated.
DOI: 10.17632/bpbsfs26td.1
title: IMAGE SET FOR FLOWER DETECTION IN APPLE TREES

description: This dataset is composed of 58 apple tree images. They were taken during full bloom in an apple orchard located at National Institute of Agricultural Technology (INTA) Experimental Station, General Roca, Argentina (39° 1’ 34’’ S; 67° 44’ 24.6’’ W).The orchard was established in 2003 with ‘Red Chief’ cultivar apple trees grafted on MM111 rootstock .Trees were planted in a total area of 0.8 ha at a distance of 1.5m between trees by 4m between rows and were trained as espalier. A few days before full bloom, images were obtained from 32 trees, under two conditions: i) natural daylight between 10 am and 13 pm, ii) at night with the artificial flash light of the camera. A black curtain was unfolded behind the trees when images were obtained under daylight conditions in order to avoid interference from neighboring trees. All images were taken with an RGB digital camera (14.1 MP) at approximately 3.0 m from the tree in a 90° angle to the row. An object of known dimensions (a 15x15 cm square) was placed in each tree as a scale reference. Simultaneously, all the flowers on each tree were manually counted. Images taken by using different proximal sensors can be used to estimate the number of flowers or fruits in trees. The accuracy of those methods have been studied and tested by many researchers during the past few years with encouraging results. Since manual counting method in fruit crops is a time-consuming labor and also lead to inaccurate results, image analysis could be used as an alternative procedure. The use of images could provide reliable and consistent data.
DOI: 10.17632/cr5p228zy7.2
title: Appendix A. Supplementary data

description: supplementary-fig. 1. Spectra of the leader tip for As, Fs and Gs at different time. (1)-(12) the spectra of leader As. (13)-(22) the spectral images of leader Fs. (13a)-(22a) the corresponding spectra of leader Fs. (23)-(28) the spectral images of leader Gs. (23a)-(28a) the corresponding spectra of leader Gs. supplementary-fig. 2. Spectra of the dart stepped leader tip for Bds, Cds and dart leader Id and Kd at different time. (1)-(9) the spectra of dart stepped leader Bds, (10)-(14) the spectra of dart stepped leader Cds, (15)-(20) the spectra of dart leader Id, (21)-(26) the spectral images of dart leader Kd. (21a)-(26a) the corresponding spectra of dart leader Kd.
DOI: 10.17632/nj9r2k8zp9.3
title: Raw data for modeling the impact of consumer satisfaction on dairy brand attitude, brand preference and purchase intentions in Morocco

description: Research data are collected via an online self-administered questionnaire from a sample of Moroccan consumers of a dairy brand. The questionnaire was self-administered via the Google Forms tool during the months of April 2020. A total of 195 responses from consumers were received, including 110 women and 85 men. The age of the respondents varies between 16 and 60 years old with an average age of 24.9587. In addition, 78.6% of the respondents are single, 19.5% married and 1.9% divorced. The findings indicate a positive influence of consumer satisfaction on brand attitude, brand preference, and purchase intentions.
DOI: 10.17632/nyrfjtxz4n.1
title: https://dhsprogram.com/

description: National Family Health Survey, 2015–16, consisting of nationally representative sample surveys. A total of 247,743 living children (0-59 months) were utilized from the National Family Health Survey (NFHS)-4 from different pre-existing morbidities and indoor air pollution characteristics of under-five children in the states and union territories of India (IIPS & ICF, 2017). The data used for this study were retrieved from the public domain after describing the objective of the study.
DOI: 10.17632/77fmtt9d93.1
title: Code for the angle of maximal deflection effect

description: The codes can be used to build the dependencies of the critical angle of crack deflection along the interface on the load level (code 1) or the inverse relative crack length (code 2) for various values of the strength contrast and load biaxiality.
DOI: 10.17632/bbnyhp6gfh.1
title: Scientific data of the principal factors determining the diffusion of COVID-19 in Italy
DOI: 10.17632/jv87xwj7fv.1
title: SARS-CoV-2 GISAID isolates (2020 - 05 - 24) genotyping VCF by mutation

description: VCF file containing filtered mutated sites in SARS-CoV-2 genomes obtained from GISAID EpiCoV, separated by individual mutations. The columns correspond to viral genome accession ID, nucleotide position in the genome, mutation ID (left blank in all rows), reference nucleotide, identified mutation, quality, filter, and information columns (all left blank), format (GT in all rows), column corresponding to reference genome (all 0, referring to reference nucleotide column), and columns corresponding to isolate genomes, with each row identifying the nucleotide in the POS column, and whether it is non-mutant (0), or the mutant indicated in the identified mutation column (1). The file is tab delimited, with 17345 rows including the names, and 19665 columns. The file was generated to test the hypothesis whether top of the most common mutations in the SARS-CoV-2 genome, 14408 C &gt; T and 23403 A &gt; G, significantly affect the mutation density of the virus over time and whether these affect the synonymous and nonsynonymous mutation densities differently. We discovered that the mutation densities between nonsynonymous and synonymous mutations show significant differences over early and late periods between WT (wildtype for both nucleotides of interest) and MT (mutant for both nucleotides of interest) samples, with nonsynonymous mutations especially showing higher increase in density in late period in MT samples. These results were obtained by identifying the earliest co-occurrence of the mutations in the two countries with the highest number of mutations, separating the isolates from these countries that were sequenced after the earliest co-occurrence date into two time groups, early and late, as well as two selecting those that fit two phenotypes into two categorical variables, WT and MT, and all known mutations into synonymous and non-synonymous mutation categorial variables. The relationships between these categories, along with the density of synonymous and nonsynonymous SNVs both across the genome and per gene locus, as well as the RdRp coding region, were analysed across time.