cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jgkvpp5dtz.1
title: Children show neural sensitivity to facial trustworthiness as measured by fast periodic visual stimulation 

description: Children show neural sensitivity to facial trustworthiness as measured by fast periodic visual stimulation - data set
DOI: 10.17632/s2yvkjf4bb.1
title: Al-Si Alloy Entity–Relations Extraction Dataset and Code

description: Al-Si Alloy Entity–Relations Extraction Dataset and Code
DOI: 10.17632/g26ck48cpt.1
title: MDPI-Pathogens-ScShK1 paper

description: This file contains all the research data for the manuscript of the MDPI-pathogens journal.
DOI: 10.17632/z9sc6d5s7d.1
title: Teacher-Generated Materials Dataset

description: Despite the widespread availability of commercially produced supplementary materials, many teachers choose to supplement textbooks with their own materials. These teacher-generated materials (TGM) currently represent an under-researched area within the larger field of materials development. This dissertation explores some of the reasons why teachers in the Japanese junior high school context choose to create and use TGM. A review of the literature relevant to materials development and TGM is presented, followed by an examination of the methods used for data gathering and analysis. Employing an approach based upon the Grounded Theory Methodology (GTM), this dissertation reveals four primary motivations for the choice of teachers to develop TGM as a supplement to mandated textbooks. The analysis and discussion of the motivations of teachers who participated in this study represent both an empirical confirmation of previous theoretical proposals and also a number of new findings.

This dataset includes the coded transcripts of the unstructured interviews conducted with 5 Japanese junior high school teachers of English as well as the memos (from early memos through focused codes and theoretical sampling) written throughout the study.
DOI: 10.17632/f9gs9rr2ng.1
title: The Way We Stand: A Sequential Case Study on Foot Angle Dataset

description: Background: This study quantifies the significance of foot angle as it relates to common biometric data to assess its use in the clinical realm.
Research Question: 
What is the average foot angle of 73 orthopedic patients in a case study, and what is the relationship between foot angle and 10 surveyed biometric data points (age, weight, height, biological makeup, shoe size, orthotic use, physical activity level, competitive sports history, lower extremity injury history, and reason for visiting doctor)?
Methods: The study’s duration was December 9, 2021, to April 7, 2022 at the Arizona Institute of Motion. Participants were informed of measurement steps and the purpose of the study and had the option to decline participation. Participants were asked to walk down a hallway as a distraction to collect the most accurate data to the participants’ stance. Participants filled out a 10-question survey of biometric data. Correlational calculations and linear regressions were performed to support or reject the existence of a relationship between foot angle and biometric data.
Results:  
The average left foot angle was 26.35 degrees, and the average right foot angle was 26.54 degrees. A strong positive correlation was found between left and right foot angles. The optimized linear regression model had an adjusted r² value of 0.549 for left foot angle against right foot angle, shoe size, and height, and an adjusted r² value of 0.522 for right foot angle against left foot angle, shoe size, and height. Foot angle had no other relationships with the other biometric data and had limited numerical significance.
Significance: 
Additional study is required to confirm its numerical importance, but foot angle may continue to be used in clinical settings in conjunction with gait analysis and qualitative assessments for musculoskeletal function. Foot angle is most useful to supplement qualitative data. 
Notes on dataset: The data used in this study was processed using Python 3 systems. Data includes linear regression models, correlational heat maps, and other graphs. An Excel Spreadsheet is also provided to view raw subject data, both biometric and qualitative, collected from the 10-question survey.
DOI: 10.17632/f9gs9rr2ng.2
title: The Way We Stand: A Sequential Case Study on Foot Angle Dataset

description: Background: This study quantifies the significance of foot angle as it relates to common biometric data to assess its use in the clinical realm.
Research Question: 
What is the average foot angle of 73 orthopedic patients in a case study, and what is the relationship between foot angle and 10 surveyed biometric data points (age, weight, height, biological makeup, shoe size, orthotic use, physical activity level, competitive sports history, lower extremity injury history, and reason for visiting doctor)?
Methods: The study’s duration was December 9, 2021, to April 7, 2022 at the Arizona Institute of Motion. Participants were informed of measurement steps and the purpose of the study and had the option to decline participation. Participants were asked to walk down a hallway as a distraction to collect the most accurate data to the participants’ stance. Participants filled out a 10-question survey of biometric data. Correlational calculations and linear regressions were performed to support or reject the existence of a relationship between foot angle and biometric data.
Results:  
The average left foot angle was 26.35 degrees, and the average right foot angle was 26.54 degrees. A strong positive correlation was found between left and right foot angles. The optimized linear regression model had an adjusted r² value of 0.549 for left foot angle against right foot angle, shoe size, and height, and an adjusted r² value of 0.522 for right foot angle against left foot angle, shoe size, and height. Foot angle had no other relationships with the other biometric data and had limited numerical significance.
Significance: 
Additional study is required to confirm its numerical importance, but foot angle may continue to be used in clinical settings in conjunction with gait analysis and qualitative assessments for musculoskeletal function. Foot angle is most useful to supplement qualitative data. 
Notes on dataset: The data used in this study was processed using Python 3 systems. Data includes linear regression models, correlational heat maps, and other graphs. An Excel Spreadsheet is also provided to view raw subject data, both biometric and qualitative, collected from the 10-question survey.
DOI: 10.17632/k2zj6xk63p.1
title: RFM analysis for customer segmentation using feature generation and accelerated deep learning for prediction

description: In this project, we propose a feature generation method for customer segmentation using an online retail store dataset. Also, we perform a comparative cluster analysis between the proposed method and the traditional method with K-means. We show that among the top-7 classifiers reported in previous studies, Multi-layer Perceptron (MLP) is the best. Then, we use the Genetic Algorithm (GA) to improve the speed and accuracy of MLP during the prediction phase.
DOI: 10.17632/vbdy7myx2d.1
title: KeeNicitaJIE2022

description: This data set is for 

"Trade Fraud and Non-Tariff Measures" in the Journal of International Economics, 2022
by Hiau Looi Kee and Alessandro Nicita.
DOI: 10.17632/t2dpknwpc9.1
title: LINF_310034000

description: TerD domain containing protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/jvgvp3my5g.1
title: Graph diffusion based on Quantum cuts algorithm for butterfly segmentation 

description: We present the contrast maps results obtained by our graph based diffusion process that exploits efficiently wave functions in the Schrodinger equation in a mono-layered undirected graph using the public Leeds Butterfly dataset (J. Wang, K. Markert, M. Everingham, Learning models for object recognition from natural language descriptions. Proc. br. Mach. Vis. Conf., (2009), pp. 2.1-2.11, https://doi.org/10.5244/C.23.2.). The dataset contains 832 ecological images on which each one represents a single butterfly in its natural environment. There is ten species of butterflies in the dataset and a distribution of 55 to 100 photographs is repertoried in each of them. The images are characterized by several artifacts that complicate the segmentation task like the presence of irrelevant objects, the shadow effect, the variation of illumination and the high similarity between some background and butterfly regions. Our algorithm evaluates the regional contrast based on Quantum cuts theory  by performing a diffusion process of intensity scores from the foreground template towards the image borders. The obtained contrast maps allow to extract efficiently the butterfly regions and supress the background areas. In order to evaluate visually the performance of our algorithm, ground truth images are provided.

Folders descriptions:
-> Images: Color ecological images. 
-> Ground Truth: The real position of butterflies in the images.
-> Contrast Maps: Results returned by our algorithm.  
-> Contrast Estimation: a compressed folder containing the above folders
DOI: 10.17632/vfpxcbk5bx.3
title: Dataset of a Retrospective Multicenter Cohort Study on Characteristics of Immune Checkpoint Inhibitor-induced Encephalitis and Comparison with HSV-1 and Anti-LGI1 Encephalitis 

description: Until now, data on clinical features, diagnostic criteria and treatment of irEncephalitis have been limited to case reports and series with small sample sizes. Data to describe clinical differentiators from other types of encephalitis is largely missing. However, patients with extensive malignant disease are also at risk of infectious encephalitis, such as herpes simplex virus (HSV)-1 encephalitis. The objective of this dataset is to provide data on clinical, laboratory, and radiologic features of irencephalitis and allow for comparison with herpes simplex virus (hsv)-1 encephalitis and anti-leucine-rich glioma-inactivated (anti-lgi)-1 encephalitis.
DOI: 10.17632/vfpxcbk5bx.1
title: Dataset for: Characteristics of Immune Checkpoint Inhibitor-induced Encephalitis and Comparison with HSV-1 and Anti-LGI1 Encephalitis – A Retrospective Multicenter Cohort Study

description: Dataset for: Characteristics of Immune Checkpoint Inhibitor-induced Encephalitis and Comparison with HSV-1 and Anti-LGI1 Encephalitis – A Retrospective Multicenter Cohort Study
DOI: 10.17632/vfpxcbk5bx.2
title: Dataset for: Characteristics of Immune Checkpoint Inhibitor-induced Encephalitis and Comparison with HSV-1 and Anti-LGI1 Encephalitis – A Retrospective Multicenter Cohort Study

description: Dataset for: Characteristics of Immune Checkpoint Inhibitor-induced Encephalitis and Comparison with HSV-1 and Anti-LGI1 Encephalitis – A Retrospective Multicenter Cohort Study
DOI: 10.17632/vfpxcbk5bx.4
title: Dataset of a Retrospective Multicenter Cohort Study on Characteristics of Immune Checkpoint Inhibitor-induced Encephalitis and Comparison with HSV-1 and Anti-LGI1 Encephalitis 

description: Until now, data on clinical features, diagnostic criteria and treatment of irEncephalitis have been limited to case reports and series with small sample sizes. Data to describe clinical differentiators from other types of encephalitis is largely missing. However, patients with extensive malignant disease are also at risk of infectious encephalitis, such as herpes simplex virus (HSV)-1 encephalitis. The objective of this dataset is to provide data on clinical, laboratory, and radiologic features of irencephalitis and allow for comparison with herpes simplex virus (hsv)-1 encephalitis and anti-leucine-rich glioma-inactivated (anti-lgi)-1 encephalitis.
DOI: 10.5281/zenodo.6962020
title: Data from: Methane cycling in shallow lakes

description: Data from chapters 3, 5, and 7 of the PhD dissertation "Drivers of methane emissions and methane oxidation in shallow lakes".
DOI: 10.5281/zenodo.6962019
title: Data from: Methane cycling in shallow lakes

description: Data from chapters 3, 5, and 7 of the PhD dissertation "Drivers of methane emissions and methane oxidation in shallow lakes".
DOI: 10.17632/vkxcfcjds5.1
title: Product aggregation 

description: Datasets per car model
DOI: 10.17632/ncx6wgwpny.1
title: LINF_310033900

description: ubiquinol-cytochrome-c reductase-like protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/97c2cnmvh9.1
title: LINF_310033800

description: hypothetical protein - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.34740/kaggle/dsv/4119919
title: Segmented Concrete Crack Images
DOI: 10.5281/zenodo.7019186
title: Optical tweezer platform for the characterization of pH-triggered colloidal transformations in the oleic acid/water system

description: Hypothesis: Soft colloidal particles that respond to their environment have innovative potential for many fields ranging from food and health to biotechnology and oil recovery. The in situ characterisation of colloidal transformations that triggers the functional response remain a challenge. Experiments: This study demonstrates the combination of an optical micromanipulation platform, polarized optical video microscopy and microfluidics in a comprehensive approach for the analysis of pH-driven structural transformations in emulsions. The new platform, together with synchrotron small angle X-ray scattering, was then applied to research the food-relevant, pH-responsive, oleic acid in water system. Findings: The experiments demonstrate structural transformations in individual oleic acid particles from micron-sized onion-type multilamellar oleic acid vesicles at pH 8.6, to nanostructured emulsions at pH &lt; 8.0, and eventually oil droplets at pH &lt; 6.5. The smooth particle-water interface of the onion-type vesicles at pH 8.6 was transformed into a rough particle surface at pH below 7.5. The pH-triggered changes of the interfacial tension at the droplet-water interface together with mass transport owing to structural transformations induced a self-propelled motion of the particle. The results of this study contribute to the fundamental understanding of the structure–property relationship in pH-responsive emulsions for nutrient and drug delivery applications.
DOI: 10.5281/zenodo.7019185
title: Optical tweezer platform for the characterization of pH-triggered colloidal transformations in the oleic acid/water system

description: Hypothesis: Soft colloidal particles that respond to their environment have innovative potential for many fields ranging from food and health to biotechnology and oil recovery. The in situ characterisation of colloidal transformations that triggers the functional response remain a challenge. Experiments: This study demonstrates the combination of an optical micromanipulation platform, polarized optical video microscopy and microfluidics in a comprehensive approach for the analysis of pH-driven structural transformations in emulsions. The new platform, together with synchrotron small angle X-ray scattering, was then applied to research the food-relevant, pH-responsive, oleic acid in water system. Findings: The experiments demonstrate structural transformations in individual oleic acid particles from micron-sized onion-type multilamellar oleic acid vesicles at pH 8.6, to nanostructured emulsions at pH &lt; 8.0, and eventually oil droplets at pH &lt; 6.5. The smooth particle-water interface of the onion-type vesicles at pH 8.6 was transformed into a rough particle surface at pH below 7.5. The pH-triggered changes of the interfacial tension at the droplet-water interface together with mass transport owing to structural transformations induced a self-propelled motion of the particle. The results of this study contribute to the fundamental understanding of the structure–property relationship in pH-responsive emulsions for nutrient and drug delivery applications.
DOI: 10.34943/e49a6d53-5e43-4c77-a88f-39b0dff43ed5
title: Conception Bay Junction Box Deployed 2021-02-14

description: The ONC Mini Junction Box 023 was deployed on 2021-02-14 at Conception Bay. Conception Bay is located west of the city St. John's, Newfoundland. This device is a Junction Box. Junction Boxes supply power and communications to deployed instruments. Junction boxes have a number of serial and ethernet ports, including 400V ethernet ports that enable connections to other junction boxes and high-voltage instruments. Junction boxes can convert high voltages to lower voltages (15V, 24V or 48V) required by many instruments. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34740/kaggle/dsv/4120549
title: Coffee industry in India
DOI: 10.6084/m9.figshare.19634545
title: Appendix IV from Large-herbivore nemabiomes: patterns of parasite diversity and sharing

description: Table showing average RRA values for each mOTU and host species combination (minimum 0.02)
DOI: 10.6084/m9.figshare.19634545.v1
title: Appendix IV from Large-herbivore nemabiomes: patterns of parasite diversity and sharing

description: Table showing average RRA values for each mOTU and host species combination (minimum 0.02)
DOI: 10.25574/11015
title: Chandra X-ray Observatory ObsId 11015

description: X-ray emission from the fast rotating A7 star Altair
DOI: 10.25574/11017
title: Chandra X-ray Observatory ObsId 11017

description: Monitoring Dynamical Mass Loss from Eta Car with the HETG
DOI: 10.25574/11021
title: Chandra X-ray Observatory ObsId 11021

description: X-ray emission mechanism in the Be star HD 42054
DOI: 10.25574/11027
title: Chandra X-ray Observatory ObsId 11027

description: High Resolution Spectroscopy of RX J0806.3+1527
DOI: 10.25574/11028
title: Chandra X-ray Observatory ObsId 11028

description: High Resolution Spectroscopy of RX J0806.3+1527
DOI: 10.25574/11044
title: Chandra X-ray Observatory ObsId 11044

description: Cygnus X-1 Viewed Outside of its Secondary's Wind
DOI: 10.25574/11045
title: Chandra X-ray Observatory ObsId 11045

description: X-ray Column Density Towards the Low Mass X-ray Binary 4U 1702-429
DOI: 10.25574/11048
title: Chandra X-ray Observatory ObsId 11048

description: High Resolution Spectroscopy of a Black Hole Transient
DOI: 10.25574/11058
title: Chandra X-ray Observatory ObsId 11058

description: Spectroscopy of the Resurgent Ultracompact Binary 4U 1626-67
DOI: 10.25574/11074
title: Chandra X-ray Observatory ObsId 11074

description: Deep Chandra Observations of the Black Hole LMC X-1
DOI: 10.25574/11076
title: Chandra X-ray Observatory ObsId 11076

description: Precise Localization of Transient Low-Mass X-ray Binaries
DOI: 10.25574/11078
title: Chandra X-ray Observatory ObsId 11078

description: Precise Localization of Transient Low-Mass X-ray Binaries
DOI: 10.25574/11088
title: Chandra X-ray Observatory ObsId 11088

description: Determining the Properties of Intervening Gas and Dust along the GX 17+2 Line-of-sight
DOI: 10.25574/11233
title: Chandra X-ray Observatory ObsId 11233

description: Two Magnetar Candidates in HESS Supernova Remnants
DOI: 10.25574/11234
title: Chandra X-ray Observatory ObsId 11234

description: Two Magnetar Candidates in HESS Supernova Remnants
DOI: 10.5281/zenodo.7013393
title: Codes for Purgar et al. 2022: Investigating the ability of growth models to predict in situ Vibrio spp. abundances

description: Model simulations and analysis of the Vibrio spp. growth models. <br> Prepared to accompany the publication, Purgar et al. 2022 "Investigating the ability of growth models to predict in situ<br> Vibrio spp. abundances" in Microorganisms, Special Issue „Microbial Communities in Changing Aquatic Environments“. Description of the files can be found in the Readme file.
description: This research was funded by the Croatian science foundation (HRZZ) project AqADAPT (no. IP-2018-01-3150 to T.K, and DOK-2021-02-6688 to T.K. for M.P.)
DOI: 10.6084/m9.figshare.20633202
title: Supplementary_File.zip

description: This is the actual observation data at sites A and B in Hangzhou Bay, and the results of the numerical model
DOI: 10.6084/m9.figshare.20633202.v1
title: Supplementary_File.zip

description: This is the actual observation data at sites A and B in Hangzhou Bay, and the results of the numerical model
DOI: 10.34740/kaggle/dsv/4120642
title: Coffee industry in India
DOI: 10.6084/m9.figshare.20633328.v1
title: Data.xlsx

description: Burden among caregivers of stroke survivors
DOI: 10.6084/m9.figshare.20633328
title: Data.xlsx

description: Burden among caregivers of stroke survivors
DOI: 10.6084/m9.figshare.19604245.v1
title: GHM code&data

description: This is the data and code of GHM. The order in which the entire GHM performs spatial interpolation has been labeled by serial number in the code folder.
DOI: 10.5281/zenodo.7020672
title: rankine_output

description: Error diagnostics output (npy format) from DA experiments (single_wind_obs, position_obs, localization_tuning, full_network, and cycling) in a 2D vortex model. The error files are used in making all the figures of Ying et al. 2022 "Improving vortex position accuracy with a new multiscale alignment ensemble filter", see https://github.com/myying/rankine for more details about the implementation of EnSRF, MSA in python and the experiments.
DOI: 10.5281/zenodo.7020671
title: rankine_output

description: Error diagnostics output (npy format) from DA experiments (single_wind_obs, position_obs, localization_tuning, full_network, and cycling) in a 2D vortex model. The error files are used in making all the figures of Ying et al. 2022 "Improving vortex position accuracy with a new multiscale alignment ensemble filter", see https://github.com/myying/rankine for more details about the implementation of EnSRF, MSA in python and the experiments.
DOI: 10.6084/m9.figshare.20089346
title: Predation experiment_dataset

description: This file shows dataset on taxa percent cover of experimental plates for settlement and recruitment of fouling organisms. These plates were used in a predation experiment, cagins some of them, to assess the role of predators on fouling assemblages, with a special focus on NIS
DOI: 10.6084/m9.figshare.20089346.v1
title: Predation experiment_dataset

description: This file shows dataset on taxa percent cover of experimental plates for settlement and recruitment of fouling organisms. These plates were used in a predation experiment, cagins some of them, to assess the role of predators on fouling assemblages, with a special focus on NIS
DOI: 10.6084/m9.figshare.20089346.v2
title: Predation experiment_dataset

description: This file shows dataset on taxa percent cover of experimental plates for settlement and recruitment of fouling organisms. These plates were used in a predation experiment, cagins some of them, to assess the role of predators on fouling assemblages, with a special focus on NIS
DOI: 10.5281/zenodo.7017137
title: Finite Element Model of the ISTAR Demonstrator Wing

description: A Nastran Bulk Data Deck of a miniature wing is provided. The wing is a small-scale representation of the DLR ISTAR research aircraft wing. The model consists of quadrilateral CQUAD4 shell elements with multi-layer GFRP composite properties. It has been built using the DLR in-house software ModGen which enables the parametric design and optimization of full aeroelastic analysis models. The input ".bdf"-file was used in MSC Nastran version 2018.2 to generate the output files ".h5, .f06, .xdb". By default a normal modes analysis is conducted with the wing being clamped at the symmetry plane of the aircraft. https://www.dlr.de/en