cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/96y53kybj4
title: Automated identification and counting of predated Ephestia kuehniella (Zeller) eggs using deep learning image analysis

description: Abstract
Predation or kill rate of biological control agents is often used as a proxy to evaluate the efficacy of different species of natural enemies, and under different conditions. For generalist predators and many egg parasitoids, eggs of the Mediterranean flour moth Ephestia kuehniella (Zeller) (Lepidoptera: Pyralidae) are used as factitious prey or hosts in laboratory and field experiments, as they are widely available from mass rearings of the biological control industry. Evaluating the predation or parasitism activity of natural enemies on E. kuehniella is a valuable tool for biological control practitioners around the world. However, manual assessments are laborious and prone to error, as observations may be subjective and depend on the individual performing the task. Here, we developed an automated protocol based on the deep learning object detection algorithm YOLOv5, for the accurate estimation of predated E. kuehniella eggs by piercing-sucking generalist predators. The application of the trained deep learning model achieved high precision (0.90) and recall (0.93) in the identification of predated eggs among intact eggs in our test experiment and was more accurate and faster than two independent observers that performed manual counting under a stereo microscope based on the mean absolute percentage error metric. Furthermore, a case study is presented where the predation activity of the generalist predators Orius laevigatus, Orius majusculus, Orius minutus, Nesidiocoris tenuis, Macrolophus pygmaeus and Dicyphus errans is compared. Further applications and expansions of the protocol are discussed.
DOI: 10.17632/dk84bmnyw9
title: CG-1050: Original and tampered images (Color and grayscale)

description: This dataset is composed of 100 natural images, 1050 tampered counterparts, and 1380 masks. For every image were applied from 10 to 11 manipulations among copy-move, cut-paste, colorizing and retouching operations. The dataset is organized into four directories: Original images, Tampered images, Mask images, and a Description file.
DOI: 10.17632/m585w9g6r6
title: The Guilt Emotion Reduces the Gaze-Cueing Effect

description: Previous studies have found that the gaze-cueing effect, an enhancement of the reaction in detecting targets appearing in a gazed-at location compared with those appearing in other locations, can be modulated by prior social interaction. In the present study, we investigated whether a feeling of guilt established from prior interaction with a cueing face could modulate the gaze-cueing effect. Participants first completed a guilt-induction task using a modified dot-estimation paradigm to associate the feeling of guilt with a specific face, and then the face that established the binding relationship was used as the stimulus in a gaze-cueing task. The results showed that guilt-directed faces and control faces induce equal magnitudes of gaze-cueing effect in 200 ms stimulus onset asynchrony (SOA), while guilt-directed faces induce a smaller gaze-cueing effect than control faces in 700 ms SOA. These findings provide evidence for the role of social factors on the gaze-cueing effect.
DOI: 10.17632/mzjvzv69p2
title: List of Scopus Indexed Journals_May 2021

description: List of Scopus Indexed Journals May 2021 Accepted titles May 2021 Discontinued titles May 2021 Serial Conf. Proc. with profile All Conf. Proceedings More info Medline ASJC classification codes
DOI: 10.6084/m9.figshare.11752752.v3
title: Comparative model of novel coronavirus 2019-nCoV protease Mpro

description: Comparative model summary: This is protease Mpro encoded in the RNA of the novel coronavirus 2019-nCoV. This virus first reported in 2019 and now spreading from Wuhan, China, the primary location outbreak. The protein sequence was determined based on the data from the Wuhan seafood market pneumonia virus genome (NCBI genome ID MN908947, GenBank: MN908947.3) published by Wu Et al. (LOCUS MN90894, 23-JAN-2020) by multiple sequences alignments with known SARS proteases. Aligning the sequence region of 2019-nCoV, “orf1ab polyprotein“ with the sequence of PDB 5N5O, the SARS main protease deposited by Zhang and Hilgenfeld in 2017 yield a protease with 306 amino acids. The sequence identity compared to 2H2Z, another SARS crystal structure, published by the Rao lab in 2006 is 96.1 %, similarity is 98.7 % with 100% aligned residues. The model is expected to be of high accuracy.
DOI: 10.6084/m9.figshare.13404635.v1
title: GLOBathy Bathymetry Rasters

description: Raster files of the GLOBathy bathymetric maps in Tagged Image File Format (TIFF) format for each individual waterbody in 1 arc-second resolution and in the WGS84 projection system.
DOI: 10.6084/m9.figshare.25055522.v1
title: Dataset and Syntax

description: Even people from frequently studied cultural contexts differ in how they conceptualize compassion, partly because of differences in how much they want to avoid feeling negative. To broaden this past work, we include participants from an understudied cultural context and start to examine the process through which culture shapes compassion. Based on ethnographic and empirical studies that include Ecuadorians, we predicted that Ecuadorians would want to avoid feeling negative less compared to U.S. Americans. Furthermore, we hypothesized that because of these differences in avoided negative affect, compared to U.S. Americans, for Ecuadorians, a compassionate response would contain more emotion sharing, which in turn would be associated with conceptualizing a compassionate face as one that mirrors sadness more and expresses happiness (e.g., a kind smile) less. Using a reverse correlation task, participants in the U.S. and Ecuador selected the stimuli that most resembled a compassionate face. They also reported how much they wanted to avoid feeling negative and described what a compassionate response would entail. As predicted, compared to U.S. Americans, Ecuadorians wanted to avoid feeling negative less, they conceptualized a compassionate response as one that focused more on emotion sharing, and visualized a compassionate face as one that contained more sadness and less happiness. Furthermore, exploratory analyses suggest that wanting to avoid feeling negative and conceptualizations of a compassionate response as emotion sharing partly sequentially explained the cultural differences in conceptualizations of a compassionate face. What people regard as compassionate differs across cultures, which has important implications for cross-cultural counseling.
DOI: 10.17632/2jrct63w2t
title: Replication package for Cities and the Sea Level

description: Replication package for the paper "Cities and the Sea Level" (this version supersedes and replaces an earlier version)
DOI: 10.17632/8t34gwb6kd
title: Investor Demand, Firm Investment, and Capital Misallocation

description: Replication files for "Investor Demand, Firm Investment, and Capital Misallocation."
DOI: 10.17632/k3xs4vx37m
title: Trust and Security in Digital Payments Drive Small Business Growth in Bandung

description: This research focuses on the following constructs:

1. Security in Digital Payments

2. Trust in Digital Payments

3. FinTech Service Adoption

4. Business Performance

The purpose of this research is to investigate how the perceived security and trust in digital payments influence the adoption of FinTech services among Micro, Small, and Medium Enterprises (MSMEs) in Bandung, Indonesia. Using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method, this study examines how these perceptions ultimately impact MSME business performance through improved operations, customer engagement, and learning processes. The theoretical framework incorporates the Unified Theory of Acceptance and Use of Technology (UTAUT), Resource-Based View (RBV), and Balanced Scorecard (BSC) perspectives.

Data were collected through structured questionnaires from 400 MSME respondents in Bandung, with validation conducted through SmartPLS 4.
DOI: 10.17632/t5572kjfnw
title: Data on geotechnical properties of soils and multiple regression analysis

description: Shear strength is a principal engineering property of soil. It controls the stability of a soil mass under structural loads and is used in design of foundation. In this study, a survey was carried out in and around the Bhauti region of Kanpur district, Uttar Pradesh and accordingly nine sampling locations were identified. All the samples were collected from a depth of 50 cm and analyzed for different geotechnical properties such as bulk density, dry density, natural moisture content, specific gravity, particle size, Atterberg’s limits and shear strength parameters (cohesion and angle of shearing resistance). The data pertaining to these parameters were compiled and analyzed further. Based on particle size distribution curves, the data on coefficient of uniformity and coefficient of curvature were found out. Correlations between index properties of soils and shear strength parameters were established. Multiple linear regression analysis was carried out to find out the influence of index properties on shear strength parameters. To know the most influencing parameters on cohesion and angle of shearing resistance, stepwise linear regression procedure was carried out. Incorporating the selected variables, multiple regression models were developed to predict cohesion and angle of shearing resistance. The performance of these models was assessed in terms of R (coefficient of correlation), F-statistics and residual patterns. The developed models can be used to predict the shear strength parameters for the study area. Bearing capacity of shallow foundations of the study area was also assessed.
DOI: 10.6084/m9.figshare.25562229.v2
title: Climate Physical Risk Index (CPRI)

description: Climate Physical Risk Index (CPRI) dataset includes comprehensive climate physical risk assessment data for 170 countries, 31 Chinese provinces, and 229 Chinese cities from 1993 to 2023. The index contains four dimensions including the standardized average annual extreme low temperature days (LTD), extreme high temperature days (HTD), extreme rainfall days (ERD) and extreme drought days (EDD) of all stations in a certain region (country/province/city). The standards for extreme values of LTD, HTD, ERD, EDD are 10% quantile and 90% quantile of daily average temperature, 95% quantile of daily rainfall, and 5% quantile of daily humidity between January 1, 1973 and December 31, 1992, respectively. CPRI is the arithmetic mean of these four sub-indices. The original daily data of meteorological stations is sourced from NOAA (National Oceanic and Atmospheric Administration).
DOI: 10.6084/m9.figshare.3394789.v4
title: Formación de talento humano en el Centro de Estudios Avanzados del Instituto Venezolano de Investigaciones Científicas

description: El <b>Centro de Estudios Avanzados</b> (CEA) del <b>Instituto Venezolano de Investigaciones Científicas</b> (IVIC) es un organismo coordinador de actividades académicas de cuarto nivel en Venezuela. Desde 1973 y hasta 2017 ha otorgado 1364 títulos académicos en 22 áreas de estudio.<br><br>Química, Inmunología y Bioguímica son las áreas que se han mantenido en los primeros lugares con un crecimiento sostenido en el tiempo. Microbiología y Física presentan un claro repunte a partir de 2005 y en la última década hubo más graduados en estas áreas que en los 30 años anteriores. El repunte en Ecología es menos marcado, pero igualmente notable. Hasta 2005 el número acumulado de egresados estaba por debajo de los del área de Fisiología y Biofísica, pero un incremento en los últimos siete años permitieron superar ésta área y alcanzar más de 120 egresados.<br><br>Se observa que en la década de 1990 hubo una reducción notable en el número de egresados, y que a partir del año 2001 hay un cambio en la proporción de sexos, con una clara mayoría de mujeres egresadas en los últimos 15 años.<br><br>
DOI: 10.6084/m9.figshare.7092863.v1
title: DATASET from "Spatially weighted PCA for monitoring video image data with application to additive manufacturing" by B.M.Colosimo and M. Grasso, JQT 2018

description: The dataset includes three ".avi" videos acquired during the Laser Powder Bed Fusion (LPBF), a.k.a. Selective Laser Melting (SLM), of an AISI 316 part on a Renishaw AM250 system.The videos were acquired by means of an OlympusTM I-speed 3 camera (CMOS sensor) placed outside the build chamber viewport (sampling frequency of 300 fps).The three videos are representative of out-of-control conditions, where hot-spot events occurred during the process in correspondence of acute corners belonging to overhang areas of the part.A hot-spot phenomenon consists of a local over-heating of the layer caused by out-of-control heat exchanges, which may produce internal and geometrical defects in the final product. The goal of an in-situ monitoring methodology based on high-speed video imaging consists of signalling the hot-spot onset as soon as possble during the process.All the details about the dataset can be found in:<br><pre>Colosimo, B.M., Grasso, M. (2018). Spatially weighted PCA for monitoring video image data with application to additive manufacturing. Journal of Quality Technology, 50(4), 391-417.</pre><br>Grasso M., Laguzza V., Semeraro Q., Colosimo B.M., (2017), In-process Monitoring of Selective Laser Melting: Spatial Detection of Defects via Image Data Analysis, Journal of Manufacturing Science and Engineering, 139(5), 051001-1 - 051001-16.
DOI: 10.17632/85wyz34nm6
title: Data for Corfas et al. 2019

description: See the README.docx file
DOI: 10.17632/cdbwhgdwvm
title: Vietnamese Banking Database (version 0917)

description: This version of the database provides statistics on the activity and efficiency of 432 bank-year observations for Vietnamese banks during the 2002-2015 period.
DOI: 10.17632/y3xy6xfxgm
title: Backpain due to breastfeeding activity in lactating women and maternal mood in early post-partum : a survey study 

description: Background :
A woman may be predisposed to having musculoskeletal discomfort due to physiologic changes that
are linked to pregnancy and the postpartum period. Pregnancy-related physiological changes such as
soft-tissue edema, increased fluid retention, ligament laxity, weight gain, hyperlordosis, and symphysis
pubis widening may make it more likely for a postpartum woman to adopt a kyphotic posture when
breastfeeding. Head forward and shoulders extended when kyphotic can result in considerable
intradiskal pressure increases and possible mictrotrauma to spinal structures leading to back
pain.Important endocrine systems undergo major changes during pregnancy, including levels and
functionality. The effects of these changes on a mother's mood and conduct have been well studied. Along with adjusting to changes in their duties as mothers, mothers may experience a variety of
emotional shifts.
DOI: 10.6084/m9.figshare.12968056.v1
title: Dwarf mongoose response to paired playbacks from Dwarf mongoose alarm calls: investigating a complex non-human animal call

description: Data concerning the different responses of dwarf mongooses to paired playbacks of natural and artificial alarm calls (Aerial & T3.1; Terrestrial & T3.2; T3 & T3 artificial)
DOI: 10.6084/m9.figshare.20486910.v5
title: Tweets discussing the Russia/Ukraine War

description: We used the Twitter API (V2) to collect all tweets, retweets, quotes and replies containing case-insensitive versions of the hashtags: #(I)StandWithPutin, #(I)StandWithRussia, #(I)SupportRussia, #(I)StandWithUkraine, #(I)StandWithZelenskyy and #(I)SupportUkraine. These were obtained from February 23rd 2022 00:00:00 UTC until March 8th 2022 23:59:59 UTC, the fortnight after Russia invaded Ukraine. We queried the hashtags with and without the `I', a total of 12 query hashtags, collecting 5,203,746 tweets. The data collected predates the beginning of the Russian invasion by one day. These hashtags were chosen as they were found to be the most trending hashtags related to the Russia/Ukraine war which could be easily identified with a particular side in the conflict. We calculated Botometer results on 483,100 (26.5%) of accounts. These accounts were randomly sampled from a list of all unique users in our dataset which posted in English. This random sample leads to an approximately uniform frequency of Tweets from accounts with Botometer labels across the time frame we considered. We include the language dependent and language independent results from Botometer, including the Complete Automation Probabilities (CAP) and each of the sub-category scores for different bot types. Moreoever, we include the display scores and raw scores from Botometer for each account. More information about the Botometer scores can be found at this link: https://rapidapi.com/OSoMe/api/botometer-pro/details You can find our paper here: https://arxiv.org/abs/2208.07038
DOI: 10.6084/m9.figshare.4578010.v1
title: Data, plotting scripts, and figures for "pyJac: analytical Jacobian generator for chemical kinetics"

description: This bundle of files contains all the data and plotting scripts necessary to reproduce the figures in the paper "pyJac: analytical Jacobian generator for chemical kinetics", as well as the figures themselves.<br>These results are part of the paper:Kyle E. Niemeyer, Nicholas J. Curtis, Chih-Jen Sung. "pyJac: analytical Jacobian generator for chemical kinetics," 2017. Under review, available at https://arxiv.org/abs/1605.03262<br><br><b>Acknowledgements:</b>This material is based upon work supported by the National Science Foundation under grants ACI-1535065 and ACI-1534688.<br>
DOI: 10.17632/x3jmhhs3st
title: Supplemental figures for "Elevated levels of the sphingolipid MIPC disrupt the coordination of cell growth with cell wall formation in fission yeast"

description: The six supplemental figures for "Elevated levels of the sphingolipid MIPC disrupt the coordination of cell growth with cell wall formation in fission yeast." Data from experiments are from live-cell and fixed-cell imaging experiments and yeast growth assays.
DOI: 10.6084/m9.figshare.12673616.v1
title: JVASP-59627 to JVASP-63111

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.20520393.v3
title: Anexo 1. Tabla de Excel con criterios

description: Anexo 1. Tabla de Excel con criterios de la investigación " Productividad, liderazgo y colaboración de mujeres investigadoras en las Ciencias de la Comunicación: Iberoamérica 2017-2021" de Hernández-Flores , Rivera-Salas y Ricardo Villegas-Tovar (2022).
DOI: 10.6084/m9.figshare.24416449.v1
title: NIRv-GPP product

description: This is the regridded GPP product derived from NIRv
DOI: 10.6084/m9.figshare.5126104.v1
title: Supplementary Material for: Cross-Reactivity between <b><i>Anisakis</i></b> spp. and Wasp Venom Allergens

description: <b><i>Background:</i></b> Anisakiasis is caused by the consumption of raw or undercooked fish or cephalopods parasitized by live L3 larvae of nematode <i>Anisakis </i>spp. Larvae anchor to stomach mucosa releasing excretion/secretion products which contain the main allergens. It has been described that nematode larvae release venom allergen-like proteins among their excretion/secretion products. We investigated potential cross-reactivity between <i>Anisakis </i>and wasp venom allergens. <b><i>Methods:</i></b> Two groups of 25 patients each were studied: wasp venom- and <i>Anisakis-</i>allergic patients. Sera from patients were tested by ImmunoCAP, dot-blotting with recombinant <i>Anisakis</i> allergens and ADVIA-Centaur system with Hymenoptera allergens. Cross-reactivity was assessed by IgE immunoblotting inhibition assays. Role of cross-reactive carbohydrate determinants (CCDs) was studied by inhibition with bromelain and periodate treatment. <b><i>Results:</i></b> A total of 40% of wasp venom-allergic patients had specific IgE to <i>Anisakis simplex </i>and 20% detected at least one of the <i>Anisakis</i> recombinant allergens tested. Likewise, 44% of <i>Anisakis-</i>allergic patients had specific IgE to <i>Vespula </i>spp<i>.</i> venom and 16% detected at least one of the Hymenoptera allergens tested. Wasp venom-allergic patients detected CCDs in <i>Anisakis</i> extract and peptide epitopes on <i>Anisakis </i>allergens rAni s 1 and rAni s 9, whereas <i>Anisakis-</i>allergic patients only detected CCDs on nVes v 1 allergen from <i>Vespula </i>spp. venom. The only <i>Anisakis</i> allergen inhibited by <i>Vespula </i>venom was rAni s 9. <b><i>Conclusions:</i></b> This is the first time that cross-sensitization between wasp venom and <i>Anisakis </i>is described. CCDs are involved in both cases; however, peptide epitopes are only recognized by wasp venom-allergic patients.
DOI: 10.6084/m9.figshare.8015966.v1
title: Distance-based Analysis of Ordinal Data and Ordinal Time Series

description: The dissimilarity of ordinal categories can be expressed with a distance measure. A unified approach relying on expected distances is proposed to obtain well-interpretable measures of location, dispersion or symmetry of random variables, as well as measures of serial dependence within a given process. For special types of distance, these analytic tools lead to known approaches for ordinal or real-valued random variables. We also analyze the sample counterparts of the proposed measures and derive asymptotic results for practically important cases in ordinal data and time series analysis. Two real applications about the economic situation in Germany and the credit rating of European countries are presented.
DOI: 10.6084/m9.figshare.14329025.v1
title: Open Synergy Land Cover Series

description: We put forward a cost-effective open and synergy framework for combining supervised classification with training samples and aggregating existing multisource land cover datasets. With this framework, novel global land cover maps with a spatial resolution of 30 m every 5 years from 1990 to 2015 have been developed. The dataset was made into 1 km percentage due to the upload limit.
DOI: 10.6084/m9.figshare.14531607.v1
title: microwave_winGRU_saved_model

description: WindowGRU trained model for Microwave
DOI: 10.6084/m9.figshare.23992650.v1
title: Gene catalog and abundances -- I4 metagenomics and metatranscriptomics

description: Gene catalog from astronauts before, during, and after flight. Contains abundances of genes based on metagenomic and metatranscriptomic alignments. Annotations also included. Abundance data is stored as compressed .rds files.
DOI: 10.6084/m9.figshare.24189168.v3
title: related data of genome of yellow peach moth

description: genome information of yellow peach moth
DOI: 10.6084/m9.figshare.6083726.v1
title: PRECISE FORMULA FOR VOLUME COMPUTATIONS USING CONTOURS METHOD

description: Abstract: Except some special cases, commonly used volume computation methods are grids method, contours method and volume computations by utilizing TIN (Triangulated Irregular Network). In this study, to investigate the precisions of these techniques, a grid system is established in an undulating area and volume of the mound is determined by using these three volume computation methods. It is found out that contour method results were not as price as the other two methods. Thus, a precise formula for volume computations using contours method is proposed.
DOI: 10.17632/w6z9yhnvwn
title: Validation of Teacher-Reported Reading Engagement Survey

description: In 2022, 534 8th and 9th grade students' reading engagement was reported by their teachers using a 10-item instrument. Students were from Santiago, Chile.
DOI: 10.6084/m9.figshare.13780432.v1
title: data_covid_regiones_chile.tsv

description: Dataset con registros que integran datos relacionados con COVID19 con granularidad de fecha y región en Chile
DOI: 10.6084/m9.figshare.17693405.v1
title: metagenomic anotation, transcriptional analysis and proteome analysis

description: Genome annotation of the episymbiont and endosymbiont of Gigantidas haimaensis gill, and the transcriptional analysis of the two symbionts and host genes in gill, as well as the proteome analysis of the holobiont.