cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dbvk8zjrps.1
title: Dermal invasion of SUM in each nail subunit and correlation with Breslow depth, the total involvement score, and disease free survival_

description: Supplemental figure 1. Dermal invasion of SUM in each nail subunit and correlation with Breslow depth, the total involvement score, and disease free survival Abbreviations: H0, No hyponychium invasion; H1, Hyponychium invasion; SM0, No sterile matrix invasion; SM1, sterile matrix invasion; GM0, no germinal matrix invasion; GM1, germinal matrix invasion; VFPNF0, no ventral floor of proximal nail fold invasion; VFPNF1, ventral floor of proximal nail fold invasion; DRPNF0, no invasion in dorsal roof of proximal nail fold; DRPNF1, invasion in dorsal roof of proximal nail fold * indicates significant differences according to the Mann-Whitney U test with p &lt;0.05 † indicates significant differences in survival curve according to the log-rank test with p-value&lt;0.05
DOI: 10.17632/8m9pv4zjkw.1
title: MINDFULNESS AND INTERCULTURAL COMMUNICATION

description: This study investigates the effect of mindfulness on intercultural communication. Previous research suggest that mindfulness is related to emotional stability, which in turn predicts intercultural communication effectiveness. Furthermore, there is reason to hypothesize that mindfulness is linked to ethnocentrism which also relates to intercultural communication effectiveness. Based on previous evidence, two models are suggested to describe the relations between mindfulness and intercultural communication effectiveness. The study sample consisted of 748 Russian students 18–25 years who were presented texts about an imaginary situation of intercultural communication with a Chinese student. Participants first completed the Mindful Attention Awareness Scale (Carlson & Brown, 2005). Afterwards, they filled out the Ethnocentrism Scale (based on the Generalized Ethnocentrism Scale (Neuliep & McCroskey, 1997) and Racism, Acceptance, and Cultural-Ethnocentrism Scale (Grigg & Manderson, 2016)). Then they answered the Emotional Stability in Intercultural Communication Scale (modified from the Neuroticism Scale from the Eysenck Personality Inventory (John et al., 2008) and the Measure of Dispositional Hardiness (Maddi, 1997)). Subsequently, participants were asked questions about gender, age, experience living abroad, and experience of participation in international projects. Participants were then presented text about an imaginary situation of intercultural communication with a Chinese student of their same sex. Finally, participants filled out the Perceived Intercultural Communication Effectiveness Scale (PICE) adapted from Gudykunst’s Perceived Effectiveness of Communication Measure (Gudykunst & Nishida, 2001) and the General Self-Efficacy Scale (Scholz et al., 2002) about their imaginary situation of intercultural communication with a Chinese student. We also added control variables such as gender, age, experience of living abroad, and experience of participation in international projects. This work was supported by Russian Foundation for Basic Research (RFBR), project number 19-013-00892 «Integrative socio-psychological model of assessment and prediction of the effectiveness of intercultural interaction».
DOI: 10.17632/5bypp2h5kj.1
title: Data for: SARS-CoV-2, IFITM3 and FYN in the neurobiology of Alzheimer’s disease: state-of-the-art transcriptomic evidence

description: Data from (a) Differential Gene Expression (DEG) analyses on Single Cell and Bulk RNA sequencing experiments and (b) SARS-CoV-2 infectomics Gene Set Enrichment Analyses
DOI: 10.17632/w5653pr7yh.1
title: Microbiota Analysis for Meconium Aspiration Syndrome (Seyma IS & Faruk Berat AKCESME)

description: Supplementary Material Supplementary S1. Bacteria found in meconium (M) microbiota (Nagpal et al., 2016) and in lung (L) microbiota of patients diagnosed with pneumonia (Chamberlain, 2016) given together with the appropriate accession numbers of the 16S rRNA gene sequences. Supplementary S2. Sequences of the hypervariable regions V1 of 16S rRNA genes of meconium-associated bacteria (M) and bacteria that cause pneumonia (P). Supplementary S3. Sequences of the hypervariable regions V2 of 16S rRNA genes of meconium-associated bacteria (M) and bacteria that cause pneumonia (P). Supplementary S4. Sequences of the hypervariable regions V3 of 16S rRNA genes of meconium-associated bacteria (M) and bacteria that cause pneumonia (P). Supplementary S5. Sequences of the hypervariable regions V4 of 16S rRNA genes of meconium-associated bacteria (M) and bacteria that cause pneumonia (P). Supplementary S6. Sequences of the hypervariable regions V5 of 16S rRNA genes of meconium-associated bacteria (M) and bacteria that cause pneumonia (P). Supplementary S7. Sequences of the hypervariable regions V6 of 16S rRNA genes of meconium-associated bacteria (M) and bacteria that cause pneumonia (P). Supplementary S8. Sequences of the hypervariable regions V7 of 16S rRNA genes of meconium-associated bacteria (M) and bacteria that cause pneumonia (P). Supplementary S9. Sequences of the hypervariable regions V8 of 16S rRNA genes of meconium-associated bacteria (M) and bacteria that cause pneumonia (P). Supplementary S10. Sequences of the hypervariable regions V9 of 16S rRNA genes of meconium-associated bacteria (M) and bacteria that cause pneumonia (P).
DOI: 10.17632/r8wp2sktzx.1
title: Power Manipulation Methods and Demand Effects

description: Power in experimental research has been commonly induced by methods that raise concerns regarding demand effects. In this paper, we investigate the empirical relevance of these concerns. In an incentivized online study (N = 1632), we manipulated the method of power manipulation (power priming vs. resource allocation), the level of power (high-power vs. control), and the presence of a manipulation check after the power manipulation. We then assessed risk-taking as an outcome variable in two ways, once as a non-consequential measure (self-report measure) and twice as a consequential measure (incentivized behavioral choices). Our results show that both using power priming (vs. resource allocation) and implementing a manipulation check substantially increased the potential for demand effects as measured by the proportion of participants who were aware of the study hypothesis. In addition, we were able to replicate the positive effect of power on risk-taking previously reported in the literature. However, we only found a significant (and small) effect for our non-consequential measure of risk-taking; when risk-taking was measured with either of our two consequential measures, power had no significant impact. Our pattern of results shows that concerns about demand effects in priming studies cannot be dismissed. We advise researchers, especially those studying power, to steer away from demand-prone manipulations of power and to measure outcome variables (e.g., behavior) through consequential choices.
DOI: 10.21227/ep8v-e320
title: Physical parameter-based data-driven modeling of small signal parameters of a metal-semiconductor field-effect transistor

description: In this work, physical parameter‐based modeling of small signal parameters for a metal‐semiconductor field‐effect transistor (MESFET) has been carried out as continuous functions of drain voltage, gate voltage, frequency, and gate width. For this purpose, a device simulator has been used to generate a big dataset of which the physical device parameters included material type, doping concentration and profile, contact type, gate length, gate width, and work function. Five state‐of‐the‐art algorithms: multi‐layer perceptron (MLP), IBk, K*, Bagging, and REPTree have been used for creating a regression model. The symbolic regression algorithm has been used to obtain analytical expressions of the real and imaginary parts of the Scattering (S) parameters using the physics‐based generated dataset. The regression performances of all the benchmarks and the symbolic regression have been compared to references from the device simulator results. The results of the derived equations and the best algorithms have been then compared to the device simulator results, with case studies for validation. The DC performance characteristics of the MESFET have been also obtained. The proposed model can be used to predict the small signal parameters of new devices prior to development, and allows for both the device and circuit to be optimized for specific applications.
DOI: 10.5281/zenodo.4394104
title: 1kuns-pf telemetry

description: This is telemetry data from 1kuns-pf satellite. The origin of this data is SIDS endpoint in satnogs. Data parsed by jradio.
DOI: 10.5281/zenodo.4394103
title: 1kuns-pf telemetry

description: This is telemetry data from 1kuns-pf satellite. The origin of this data is SIDS endpoint in satnogs. Data parsed by jradio.
DOI: 10.21227/btn5-7d85
title: Holoscopic 3D Micro-Gesture Database

description: Holoscopic micro-gesture recognition (HoMG) database was recorded using a holoscopic 3D camera, which have 3 conventional gestures from 40 participants under different settings and conditions. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array. For the purpose of H3D micro-gesture recognition. HoMG database has two subsets. The video subset has 960 videos and the image subset has 30635 images, while both have three type of microgestures (classes). Each subset has been divided into three partitions: training set, development set and testing set where there is not overlap between them in term of the subjects. The database has been used for Holoscopic Micro-Gesture Recognition Challenge 2018 (HoMGR 2018) that was held at IEEE Face & Gesture 2018 (FG2018) - Xi'an, China, 15-19th May 2018 (https://fg2018.cse.sc.edu/Challenges.html). The database is now publicly available for wider research communities in the research areas of holoscopic 3D image processing, machine learning for gesture recognition and its application in AR and VR.
DOI: 10.6084/m9.figshare.13488798
title: Data for TgNN surrogate

description: Training data and testing data for TgNN surrogates.
DOI: 10.6084/m9.figshare.13489471.v1
title: Points in the pareto front in model validation; validation result in trade partners; validation result in trade volume; simulated vs actual trade partners; simulated vs actual trade volumes from Food and nutrition security under global trade: a relation-driven agent-based global trade model

description: This paper addresses the highly relevant and timely issues of global trade and food security by developing an empirically grounded, relation-driven agent-based global trade model. Contrary to most price-driven trade models in the literature, the relation-driven agent-based global trade model focuses on the role of relational factors such as trust, familiarity, trade history and conflicts in countries' trade behaviour. Moreover, the global trade model is linked to a comprehensive nutrition formula to investigate the impact of trade on food and nutrition security, including macro and micronutrients. Preliminary results show that global trade improves the food and nutrition security of countries in Africa, Asia and Latin America. Trade also promotes a healthier and more balanced diet, as countries have access to an increased variety of food. The effect of trade in enhancing nutrition security, with an adequate supply of macro and micronutrients, is universal across nutrients and countries. As researchers call for a holistic and multifactorial approach to food security and climate change (Friis et al. 2016 <i>Journal of Land Use Science</i> <b>11</b>, 131–153. (doi:10.1080/1747423X.2015.1096423); Hammond and Dubé 2012 <i>Proc. Natl Acad. Sci. USA</i> <b>109</b>, 12 356–12 363. (doi:10.1073/pnas.0913003109)), the paper is one of the first to develop an integrated framework that consists of socio-economic, geopolitical, nutrition, environmental and agri-food systems to tackle these global challenges. Given the ongoing events of Brexit, the US-China trade war and the global COVID-19 pandemic, the paper will provide valuable insights on the role of trade in improving the food and nutrition security across countries.
DOI: 10.6084/m9.figshare.13489471
title: Points in the pareto front in model validation; validation result in trade partners; validation result in trade volume; simulated vs actual trade partners; simulated vs actual trade volumes from Food and nutrition security under global trade: a relation-driven agent-based global trade model

description: This paper addresses the highly relevant and timely issues of global trade and food security by developing an empirically grounded, relation-driven agent-based global trade model. Contrary to most price-driven trade models in the literature, the relation-driven agent-based global trade model focuses on the role of relational factors such as trust, familiarity, trade history and conflicts in countries' trade behaviour. Moreover, the global trade model is linked to a comprehensive nutrition formula to investigate the impact of trade on food and nutrition security, including macro and micronutrients. Preliminary results show that global trade improves the food and nutrition security of countries in Africa, Asia and Latin America. Trade also promotes a healthier and more balanced diet, as countries have access to an increased variety of food. The effect of trade in enhancing nutrition security, with an adequate supply of macro and micronutrients, is universal across nutrients and countries. As researchers call for a holistic and multifactorial approach to food security and climate change (Friis et al. 2016 <i>Journal of Land Use Science</i> <b>11</b>, 131–153. (doi:10.1080/1747423X.2015.1096423); Hammond and Dubé 2012 <i>Proc. Natl Acad. Sci. USA</i> <b>109</b>, 12 356–12 363. (doi:10.1073/pnas.0913003109)), the paper is one of the first to develop an integrated framework that consists of socio-economic, geopolitical, nutrition, environmental and agri-food systems to tackle these global challenges. Given the ongoing events of Brexit, the US-China trade war and the global COVID-19 pandemic, the paper will provide valuable insights on the role of trade in improving the food and nutrition security across countries.
DOI: 10.25646/7780
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5281/zenodo.4393374
title: Files for reproducing results in Octo-Tiger: a new, 3D hydrodynamic code for stellar mergers that uses HPX parallelisation

description: This archive contains config files for reproducing results in the paper "Octo-Tiger: a new, 3D hydrodynamic code for stellar mergers that uses HPX parallelisation"
DOI: 10.5281/zenodo.4393373
title: Files for reproducing results in Octo-Tiger: a new, 3D hydrodynamic code for stellar mergers that uses HPX parallelisation

description: This archive contains config files for reproducing results in the paper "Octo-Tiger: a new, 3D hydrodynamic code for stellar mergers that uses HPX parallelisation"
DOI: 10.5281/zenodo.4320792
title: Electron density and altitude of the main ionospheric peak of Mars as observed by Mars Express instruments. Archived data for the paper "Seasonal and geographical variability of the Martian ionosphere from Mars Express observations", submitted to JGR-Planets

description: This repository contains archived data for the manuscript "Seasonal and geographical variability of the Martian ionosphere from Mars Express observations", published in Journal of Geophysical Research-Planets. Details about the methods to generate the data can be found in the paper. 5 data files plus 2 readme text files are included. The file MEx_ionpeak.dat (described in the readme file README_ionpeak.txt) contains the peak electron densities and peak altitudes resulting from 34539 observations. Each record includes 14 columns. The content of each column is: Column 1: Instrument providing the observation (MARSIS or MaRS)<br> Column 2: Mars Year at which the observation was obtained (from MY27 to MY33)<br> Column 3: Solar Longitude (Ls) of the observation (unit: degrees)<br> Column 4: Latitude of the observation (unit: degrees)<br> Column 5: Longitude of the observation (unit: degrees)<br> Column 6: Solar Zenith Angle (SZA) of the observation (unit: degrees)<br> Column 7: F10.7 solar proxy index at 1 Astronomic Unit (unit: solar flux units)<br> Column 8: Peak electron density measured by the instrument (unit: cm-3)<br> Column 9: Peak electron density at the subsolar point, i.e., corrected for the SZA variation (unit: cm-3)<br> Column 10: Peak electron density at the subsolar point and at F10.7 (1AU)=100, i.e., corrected for the SZA and the solar radiation output variations (unit: cm-3)<br> Column 11: Peak electron density at the subsolar point, at F10.7 (1AU)=100 and corrected for the seasonal variation (unit: cm-3)<br> Column 12: Peak altitude measured by the instrument (unit: km)<br> Column 13: Peak altitude at the subsolar point, i.e. corrected for the SZA variation (unit: km)<br> Column 14: Peak altitude at the subsolar point and corrected for the seasonal variation (unit: km) The files eprofiles_MaRS.dat, eprofiles_MARSIS_prof1.dat, eprofiles_MARSIS_prof2.dat and eprofiles_MARSIS_prof3.dat contain 4 electron density profiles. They are described in the file README_eprofiles.txt. Each file includes 2 columns, the first one being the altitude (unit: km) and the second one the electron density (unit: cm-3). Contact: Francisco Gonzalez-Galindo, ggalindo@iaa.es<br>
DOI: 10.6084/m9.figshare.13489557
title: The data and figures of the paper "emotional analysis"

description: It is the data and figures of the paper "Analyzing the association between emotions and socioeconomic characteristics of census tracts via user-generated content". When used the data or figures, please cite: Yu X, Fei T, Li X. Analyzing the association between emotions and socioeconomic characteristics of census tracts via user-generated content. Transactions in GIS. 2020;00:1-16. https://doi.org/10.1111/tgis.12718
DOI: 10.6084/m9.figshare.13489557.v1
title: The data and figures of the paper "emotional analysis"

description: It is the data and figures of the paper "Analyzing the association between emotions and socioeconomic characteristics of census tracts via user-generated content". When used the data or figures, please cite: Yu X, Fei T, Li X. Analyzing the association between emotions and socioeconomic characteristics of census tracts via user-generated content. Transactions in GIS. 2020;00:1-16. https://doi.org/10.1111/tgis.12718
DOI: 10.6084/m9.figshare.13489599
title: data_pleaf

description: pleaf dataset
DOI: 10.6084/m9.figshare.13489599.v1
title: data_pleaf

description: pleaf dataset
DOI: 10.17632/ntgxpgtz4m.1
title: Data for: Novel approach for green drilling fluids: Comparative assessment of asymmetric carbonate and babassu esters

description: The file "Gráfico.xlsx" contains the data of shear rate and shear stress for DeMeC-based and BME-based fluids, "Pontos_para_a_curva_IR.zip" contains 9 FTIR data for DeMeC replicate synthesis, "TG-DSC.rar" contains thermogravimetric and calorimetric data, and "NMR 1H.rar" contains proton NMR data for the synthetic bases used in this research.
DOI: 10.34740/kaggle/dsv/1783721
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.34740/kaggle/dsv/1783762
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.6084/m9.figshare.13425995.v1
title: MBIs and Religion

description: Studies 1a, 1b, 2a, 2b.<br>Please contact Roman Palitsky at roman_palitsky@brown.edu for instructions for using data files
DOI: 10.6084/m9.figshare.7429109
title: caregiver burden, time of caring and dependence

description: The sample is 135 informal caregivers, some of them take care more than one dependent person. Data was collected between 2014-2016.
DOI: 10.6084/m9.figshare.7429109.v3
title: caregiver burden, time of caring and dependence

description: The sample is 135 informal caregivers, some of them take care more than one dependent person. Data was collected between 2014-2016.
DOI: 10.6084/m9.figshare.13489629
title: Inter-spike intervals of Purkinje Cells

description: Inter-spike times for synthetically generated neural dynamics of Purkinje Cells when a current of I=0.1, 0.5, 0.7, 1, 2, 2.5, 3, 3.3, 3.5 nA was injected in the soma. Data was generated using a multi-compartmental model developed by Miyasho et at, 2001.<br><br>This data was used to inferred phenomenological models of Purkinje Cells in C. Rivera, D. Hofmann, I. Nemenman, submitted 2020<br>Names in data:SpikeTimes: Inter-spike times UTimes: unique times of SpikeTimesnf: Frequencies corresponding of unique timesDt= 0.025 ms time resolution
DOI: 10.34740/kaggle/dsv/1783942
title: US counties COVID 19 dataset
DOI: 10.6084/m9.figshare.7119749
title: Enrichment of CRISPR and IP-MS Data

description: All files required to do determine the overlap between proteins that are differentially bound in the IP-MS data and differentially dependent in the CRISPR-cas9 data as well as calculate gene set enrichment of the overlapping set.
DOI: 10.6084/m9.figshare.7120796
title: CRISPR screen of isogenic STAG2 mutant cell lines

description: Comparison of STAG2 mutant and STAG2 wild-type cell lines using CRISPR genome-wide knockout screen.
DOI: 10.6084/m9.figshare.13489239
title: Peacock Chinese Twitter Corpus (PCTC)

description: The Peacock Chinese Twitter Corpus (PCTC) contains 4911813 tweets (including original tweets and replies, excluding retweets) made in simplified Chinese from 2007 to 2020. The documents are stored in MongoDB in JSON format.User Interface: www.peacockpus.com