cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17605/osf.io/gnwxz
title: Population-level interventions and community environment effects on obesity among diverse Asian American ethnic subgroups

description: The goal of this study is to determine the effects of federal and state nutrition policies designed to improve food and beverages in schools on obesity among a wide range of Asian/PI subgroups and investigate how community food environments modify the effect nutrition policies have on obesity. This website is a repository of data resources connected to this project. To access, navigate to the 'Files' tab.
DOI: 10.6084/m9.figshare.25990090.v1
title: TrialInstruct

description: TrialInstruct
DOI: 10.6084/m9.figshare.28810820.v1
title: Lichen-derived compounds: CytoScape analysis

description: The majority of structural data for lichen-derived compounds were downloaded from Lichendex (https://lichendex.wixsite.com/my-site/blank-2) as well as Scifinder and Reaxys. Entries were manually curated, and additional compounds were included, resulting in 1347 unique compounds.The Tanimoto similarity was calculated for all pairwise combinations of the compounds using RDKit, using Morgan fingerprints generated with a radius of 2 and a bit vector 2048 bits long, where only similarities greater or equal to 0.8 were kept. This matrix was visualized in CytoScape with the yFiles Organic layout.
DOI: 10.17632/jznmb7mxpm
title: Solid state NMR spectra and molecular dynamics (MD) simulation trajectories of brain-derived Abeta42 fibrils

description: 2D NCACX, NCA, CC, and HC solid state NMR spectra of brain-derived Ab42 fibrils. Spectra are in Sparky format (*.ucsf files).  200 ns of molecular dynamics (MD) simulation trajectories of brain-derived type A and type B Ab42 fibrils. Eight Ab42 molecules with the type A and type B fibril structure were solvated and neutralized in 100 mM NaCl.  See README.txt file for additional details.
DOI: 10.17632/r3v4xznjkp
title: The impact of cultural destination attributes on overall tourist satisfaction and tourist loyalty: First Timers versus Repeaters

description: This data setattempts to examine the relationship between cultural destination attributes, overall tourist satisfaction and loyalty of tourists visiting Istanbul, an important cultural destination. Further to this, a comparison of first-timers and repeaters were investigated with multiple-group analysis. A quantitative research approach was adopted and questionnaire was distributed to international travelers who were about to leave Istanbul.
DOI: 10.6084/m9.figshare.13116578.v2
title: Nanocomposite NiTi shape memory alloy with high strength and fatigue resistance

description: The source data is uploaded to support our publication in Nature Nanotechnology (DOI: https://doi.org/10.1038/s41565-020-00837-5). Citation is required for using the data.<br>AbstractFatigue life enhancement of NiTi-based shape memory alloys (SMA) has been an active topic over the past decades, because many established and potential applications of NiTi SMA in biomedical devices and recent solid-state refrigeration require very long fatigue life (10<sup>7</sup>-10<sup>9</sup>). However, improving the fatigue resistance of NiTi often compromises other mechanical and functional properties. Here we provide a new strategy to overcome this dilemma through hybrid heterogenous nanostructure. We produced superelastic NiTi nanocomposite with crystalline and amorphous phases via severe plastic deformation and low temperature annealing. We show that the NiTi nanocomposite has a recoverable strain of 4.3%, yield strength of 2.3 GPa, and can endure over 10<sup>8</sup> reversible-phase-transition cycles under the stress of 1.8 GPa via compression experiments of micropillars. We attribute the enhanced properties to the mutual strengthening of nano-sized amorphous and crystalline phases where both dislocation slip in the crystals and shear band propagation in the amorphous phase are suppressed. The synergy of the properties of crystalline and amorphous phases at the nanoscale could be an effective method to improve fatigue resistance and strength of SMA.
DOI: 10.6084/m9.figshare.28449134.v1
title: BALBc-3.h5ad

description: Processed mouse spleen CODEX dataset from Goltsev et al. (<i>Cell</i>, 2018), containing 1 wild-type spleen sample (BALBc-3) with the compartment labels.
DOI: 10.6084/m9.figshare.91384.v2
title: BSc Poster. An Investigation Into the Culture Media Influence Within Plant Biotechnology

description: A poster for my BSc work and my first upload on Figshare. Unfortunatly, I did not receive the grade I was looking for though!
DOI: 10.6084/m9.figshare.19099856.v1
title: DataSheet 1 - soil algal abundance data

description: This data set contains all abundance data used in the paper. More details can be found in the supplementary material of the paper.
DOI: 10.6084/m9.figshare.24603162.v2
title: Items

description: Readme: Factorization Paper Experiment data & Analysis code<br>main.ipynb : a notebook which performs analysis on experiment data and draws probability plots in the paperfunctionality.py, MISDAC.py : code library of main.ipynb<br>Fact6Data/Fact6AtomImage.fig : Atom image of n=6 experimentFact6Data/FactD1.mat : Raw experiment data of 6 atomsFact6Data/FactDtoPlot.mat : Processed result of Fact6D1.mat by main.ipynb<br>Fact15Data/Fact15AtomImageLayerX.fig : Atom image of n=15 experiment for X=1,2,3 layersFact15Data/Fact15DX.mat : Raw experiment data of 24 atoms, X=1,2Fact15Data/Fact15DtoPlot.mat : Processed result of Fact15DX.mat by main.ipynb<br>Fact35Data/Fact35AtomImage.fig : Atom image of n=35 experimentFact35Data/Fact35DX.mat : Raw experiment data of 25 atoms, X=1,2, ..., 16Fact35Data/Fact35DtoPlot.mat: Processed result of Fact35DX.mat by main.ipynb<br>
DOI: 10.6084/m9.figshare.25305730.v1
title: Kleborate results

description: Kleborate software was used to determine K-locus and O-locus.
DOI: 10.6084/m9.figshare.26346568.v1
title: test.json

description: Q&A extracted from academic paper
DOI: 10.6084/m9.figshare.28630352.v1
title: GDM DATA

description: gdm data
DOI: 10.17632/hr548b4nyy
title: Adult Gamification Data for Publication 20230903

description: Data for Publication - Adult Gamification 20230903
DOI: 10.6084/m9.figshare.1320840.v1
title: Intermediate Pond Sizes Contain the Highest Density, Richness, and Diversity of Pond-Breeding Amphibians

description: Data analyzed and presented in the manuscript "Intermediate Pond Sizes Contain the Highest Density, Richness, and Diversity of Pond-Breeding Amphibians." Published in PLoS ONE
DOI: 10.6084/m9.figshare.28220000.v1
title: Date SET <b>“Factors Influencing the Integration of Technology of High School English Teachers in Indonesia: Analysis Structural Equation Modelling (SEM) and Partial Least Square (PLS)</b>

description: This study aims to present teachers’ understanding of TPACK(technology, pedagogy, and content knowledge) and how TPACK is manifestedin use, and the research examines the concept of teachers’ technology integration(Tecint). In particular, the primary purpose of this study is to find out the factorsthat influence English teachers in technology integration in Jambi city,Indonesia. This study is a cross-sectional survey in which the data were collectedat one point in time from a sample of 294 English teachers.
DOI: 10.17632/fh85b4rmp6
title: ВПЛИВ ГЛОБАЛІЗАЦІЇ ТА ЦИФРОВІЗАЦІЇ НА ПСИХОЛОГІЧНИЙ СТАН СТУДЕНТІВ

description: Sydorenko O. Yu. Impact of globalization and digitalization on the psychological state of students.
The article is devoted to the topical issue of the impact of globalization and digitalization on the psychological state of students. The positive and negative aspects of this influence, as well as ways to minimize negative consequences, are considered. The role of modern information and communication technologies in teaching students is highlighted. The importance of the formation of digital competence, the development of critical thinking and media literacy for the successful adaptation of students in the context of globalization and digitalization is substantiated.
Particular attention is paid to the study of the impact of globalization and digitalization on the identity, communication and social interaction of students. The risks associated with information overload, social isolation and cyberbullying are analyzed. Ways to minimize the negative impact of globalization and digitalization on the psychological state of students are proposed, including the development of critical thinking, media literacy, social skills and emotional intelligence.
Globalization and digitalization are complex and multifaceted processes that affect various aspects of student life, including their learning, communication, social interaction and psychological well-being. Understanding these processes and their impact on students is important for developing effective adaptation strategies and developing the educational environment.
It is important to take into account both the positive and negative aspects of globalization and digitalization in order to ensure their effective use and minimize potential risks to the psychological state of students. It is necessary to develop students' digital competence, critical thinking, media literacy, social skills and emotional intelligence to help them adapt to new conditions and successfully function in a globalized digital world.
Educational institutions should adapt the educational process to the digital environment and take into account the psychological needs of students in order to ensure their successful learning and development in the context of globalization and digitalization.
Key words: globalization, digitalization, psychological state, students, digital competence, critical thinking, media literacy, social skills, emotional intelligence.
DOI: 10.6084/m9.figshare.10288326.v1
title: Fuzzy optimization model for electric vehicle routing problem with time windows and recharging stations

description: This is the experimental data of the manuscript entitled "Fuzzy optimization model for electric vehicle routing problem with time windows and recharging stations".
DOI: 10.17632/gj5wx44jnz
title: Patch Testing Outcomes in Children at the Massachusetts General Hospital

description: Supplemental Table 1: Pediatric Baseline Patch Test Series Core
DOI: 10.17632/knrjf5pscm
title: Quality of Life of Caregivers of Adolescents with Depression: A Mixed-Method Study

description: We provide several cases of audio recordings of qualitative research interviews, as well as raw quantitative research data, as well as informed consent forms and scale templates.
DOI: 10.6084/m9.figshare.3516137.v1
title: Appendix B. Classification and regression tree (CART) pruning using the rpart package in Program R.

description: Classification and regression tree (CART) pruning using the rpart package in Program R.
DOI: 10.17632/6zfj2dkv5b
title: Interface tool from Wannier90 to RESPACK: wan2respack

description: We develop the interface tool wan2respack, which connects RESPACK (software that derives the low-energy effective Hamiltonians of solids) with Wannier90 (software that constructs Wannier functions). wan2respack converts the Wannier functions obtained by Wannier90 into those used in RESPACK, which is then used to derive the low-energy effective Hamiltonians of solids. In this paper, we explain the basic usage of wan2respack and show its application to standard compounds of correlated materials, namely, the correlated metal SrVO3 and the high-T_C superconductor La2CuO4. Furthermore, we compare the low-energy effective Hamiltonians of these compounds using Wannier functions obtained by Wannier90 and those obtained by RESPACK. We confirm that both types of Wannier functions give the same Hamiltonians. This benchmark comparison demonstrates that wan2respack correctly converts Wannier functions in the Wannier90 format into those in the RESPACK format.
DOI: 10.6084/m9.figshare.2059260.v6
title: prediction in patients with steat0ses（20151230upload）.xls

description: the nomogran original data in patients <br>
DOI: 10.6084/m9.figshare.25648818.v1
title: Supplementary dataset for "Polarization images of the Moon as a function of lunar phase"

description: This dataset contains S0, DoLP, and AoP images as CSV files for 40 different lunar phases. It also contains MATLAB files with the average DoLP data for several images recorded at each phase. The included spreadsheet is needed to identify the lunar phase angles corresponding to the date and time of the image.
DOI: 10.6084/m9.figshare.7685597.v7
title: Multi-immersion open-top light-sheet microscope for high-throughput imaging of cleared tissues

description: Supplementary Dataset for software testing.
DOI: 10.17632/tp795y3ywy
title: Survey dataset of transformational leaderhip

description: This dataset shows that:
1. Transformational leadership is measured with four dimensions and their interrelationships: 1. Core transformational leadership behavior (three items: CT1, CT2, CT3), 2. High-performance expectations (three items: HP1, HP2, HP3), 3. Supportive leader behavior (four items: SL1, SL2, SL3, SL4), 4. Intellectual stimulation (three items: IS1, IS2, IS3).
2. Knowledge-based work passion is associated with eight items: KK1, KK2, KK3, KK4, KK5, KK6, KK7, KK8.
3. Organizational citizenship behavior is associated with three dimensions: 1. OCB-Organization (four items: BO1, BO2, BO3, BO4), 2. OCB-Colleagues (four items: BC1, BC2, BC3, BC4), 3. OCB-Students (four items: BS1, BS2, BS3, BS4).
DOI: 10.6084/m9.figshare.21200986.v1
title: VOC.zip

description: The data set contains 1600 insulator defect pictures
DOI: 10.6084/m9.figshare.3385828.v1
title: Fresno Aerial USGS Imagery from the Distributed Solar Photovoltaic Array Location and Extent Data Set

description: This collection of USGS Orthoimagery data contains the .tif images files and associated .xml metadata files for the Fresno, CA imagery data from the dataset:<br>Bradbury, Kyle; Saboo, Raghav; Malof, Jordan; Johnson, Timothy; Devarajan, Arjun; Zhang, Wuming; Collins, Leslie; Newell, Richard: Distributed Solar Photovoltaic Array Location and Extent Data Set for Remote Sensing Object Identification. figshare. https://dx.doi.org/10.6084/m9.figshare.3385780<br>Acknowledgement: Data available from the U.S. Geological Survey. See USGS Visual Identity System Guidance (https://www2.usgs.gov/visual-id/credit_usgs.html) for further details.
DOI: 10.6084/m9.figshare.21370086.v1
title: pcs

description: Excel data
DOI: 10.6084/m9.figshare.22126793.v1
title: Foursquare_data

description: Foursquare data downloaded from https://sites.google.com/site/yangdingqi/home/foursquare-dataset This dataset includes long-term (about 22 months from Apr. 2012 to Jan. 2014) global-scale check-in data collected from Foursquare, and also two snapshots of user social networks before and after the check-in data collection period (see more details in our paper). The check-in dataset contains 22,809,624 checkins by 114,324 users on 3,820,891 venues. The social network data contains 363,704 (old) and 607,333 (new) friendships. Due to frequent requests, we also include the raw check-in dataset containing 90,048,627 checkins by 2,733,324 users on 11,180,160 venues.
DOI: 10.6084/m9.figshare.3520712.v1
title: Appendix B. Tables and a figure showing (1) summary statistics for the partial redundancy analysis, (2) results from the ANOSIM test, and (3) regression results.

description: Tables and a figure showing (1) summary statistics for the partial redundancy analysis, (2) results from the ANOSIM test, and (3) regression results.
DOI: 10.17632/cp3473x7xv
title: LG 18650HG2 Li-ion Battery Data and Example Deep Neural Network xEV SOC Estimator Script

description: The included tests were performed at McMaster University in Hamilton, Ontario, Canada by Dr. Phillip Kollmeyer (phillip.kollmeyer@gmail.com). If this data is utilized for any purpose, it should be appropriately referenced. -A brand new 3Ah LG HG2 cell was tested in an 8 cu.ft. thermal chamber with a 75amp, 5 volt Digatron Firing Circuits Universal Battery Tester channel with a voltage and current accuracy of 0.1% of full scale. these data are used in the design process of an SOC estimator using a deep feedforward neural network (FNN) approach. The data also includes a description of data acquisition, data preparation, development of an FNN example script. -Instructions for Downloading and Running the Script: 1-Select download all files from the Mendeley Data page (https://data.mendeley.com/datasets/cp3473x7xv/2). 2-The files will be downloaded as a zip file. Unzip the file to a folder, do not modify the folder structure. 3-Navigate to the folder with "FNN_xEV_Li_ion_SOC_EstimatorScript_March_2020.mlx" 4-Open and run "FNN_xEV_Li_ion_SOC_EstimatorScript_March_2020.mlx" 5-The matlab script should run without any modification, if there is an issue it's likely due to the testing and training data not being in the expected place. 6-The script is set by default to train for 50 epochs and to repeat the training 3 times. This should take 5-10 minutes to execute. 7-To recreate the results in the paper, set number of epochs to 5500 and number of repetitions to 10. -The test data, or similar data, has been used for some publications, including: [1] C. Vidal, P. Kollmeyer, M. Naguib, P. Malysz, O. Gross, and A. Emadi, “Robust xEV Battery State-of-Charge Estimator Design using Deep Neural Networks,” in Proc WCX SAE World Congress Experience, Detroit, MI, Apr 2020 [2] C. Vidal, P. Kollmeyer, E. Chemali and A. Emadi, "Li-ion Battery State of Charge Estimation Using Long Short-Term Memory Recurrent Neural Network with Transfer Learning," 2019 IEEE Transportation Electrification Conference and Expo (ITEC), Detroit, MI, USA, 2019, pp. 1-6.
DOI: 10.17632/wn7jwk9n22
title: Unprocessed SARS-CoV-2 spike Nucleotide Sequences

description: 1. Sequence GenBank IDs of all 615,374 nucleotide spike sequences isolated from samples collected between December 2019 and July 2021. 
2. Nucleotide alignment of the 16,808 unique spike sequences derived from the above. 
3. Baseline Sequence IDs collected up to July 2021
4. B.1.1.7 Sequences IDs collected up to March 2022
5. P.1 Sequences IDs collected up to February 2022
6. AY.4 Sequences IDs collected up to February 2022
7. AY.4.2 Sequences IDs collected up to February 2022
8. BA.1 Sequences IDs collected up to February 2022
9. BA.1.1 Sequences IDs collected up to March 2022
10. BA.2 Sequences IDs collected up to March 2022
11. Biosample accession of deep sequenced patient samples
12. Newick tree for figure 1B - S3 Data
13. Newick tree for figure 2A - S4 Data
14. BA.4 Sequences IDs collected up to April 2023
15. BA.5 Sequences IDs collected up to April 2023
DOI: 10.6084/m9.figshare.6818789.v1
title: Experiment 5F-SubjectH-160804-5St-SGLHand-HFREQ

description: Experiment in which subject performed motor imagery of a single hand's 5 finger motions, recorded using higher sampling rate setting of 1000 Hz.
DOI: 10.17632/z349j4tx8y
title: Causal effect of Elon Musk tweets on Dogecoin price published at the "Open Code Community"

description: Materials published at "https://opencodecom.net/post/2021-06-11-causal-effect-of-elon-musk-tweets-on-dogecoin-price/"
DOI: 10.6084/m9.figshare.21665630.v2
title: Landsat 8 scenes before and after the Brumadinho (Brazil) tailings dam collapse

description: Selected Landsat 8 scenes (only bands 2-7 and 10) of the 2019 Brumadinho dam collapse, Brazil (2019-01-14 and 2019-01-30). The scene was downloaded from USGS Earth Explorer. Original data are in the public domain and are redistributed here in accordance with the Landsat Data Distribution Policy.
DOI: 10.6084/m9.figshare.24021528.v1
title: Untitled Item

description: This datasets includes 9 event logs, which can be used to experiment with log completeness-oriented event log sampling methods.<br>· exercise.xes: The dataset is a simulation log generated by the paper review process model, and each trace clearly describes the process of reviewing papers in detail.<br>· training_log_1/3/8.xes: These 3 datasets are human-trained simulation logs for the 2016 Process Discovery Competition (PDC 2016). Each trace consists of two values, the name of the process model activity referenced by the event and the identifier of the case to which the event belongs.<br>· Production.xes: This dataset includes process data from production processes, and each track includes data for cases, activities, resources, timestamps, and more data fields.<br>· BPIC_2012_A/O/W.xes: These 3 dataset are derived from the personal loan application process of a financial institution in the Netherlands. The process represented in the event log is the application process of a personal loan or overdraft in a global financing organization. Each trace describes the process of applying for a personal loan for different customers.·ETM: This data set contains loan application examples and provides a brief description of the loan application process.·TSL.anon: This data set contains loan application examples and provides a brief description of the loan application process.: This data set comprises examples of a telecom company's second-line Customer Relationship Management (CRM) process.·BPIC2015_1: This data set contains loan application examples and provides a brief description of the loan application process.: This data set contains all building permit applications of the Dutch municipal government over approximately 4 years. The logs include information about the main application as well as objections in different stages, and also provide information about the resources and application costs of executing tasks.<br><br>
DOI: 10.6084/m9.figshare.28602104.v1
title: Mycena morenoi sp. nov.

description: <i>Mycena morenoi</i> aligment and ML-BI phylogenetic trees
DOI: 10.6084/m9.figshare.28616924.v1
title: SIAS (Sequence Identities and Similarities) Results for D1 domain in 9 Primate Species

description: An aligned translated sequence of only the D1 domain of CD4 in the 9 primate species was used. The sequence was aligned with MUSCLE and trimmed in AliView. The HMMSCAN results were used to decide where the D1 domain is located in CD4. SIAS calculated pairwise sequence identity and similarity with the inputed data. The left figure is the percent identity match between the primate species. The right figure is the percent similarity match between the primate species. Percent identity is based on exact amino acids that are shared between species and similarity identity is based on amino acids that share the same side chain chemistry. In both figures, the yellow highlights show the percent identity between the two macaque species (CD4-Macaca) with the Sumatran orangutan (CD4-Pongo). The red highlights show the percent identity between the Sumatran orangutan (CD4-Pongo) and the Sooty mangabey (CD4-Cercocebus), Golden snub-nosed monkey (CD4-Rhinopithecus), and Vervet monkey (CD4-Chlorocebus). The two macaques and the Sumatran orangutan make up the SIV-susceptible group and share a 93.68% percent identity and similarity in the D1 domain. The Sumatran orangutan share a decreased percent identity and similarity in the D1 domain with the Sooty mangabey, Golden snub-nosed monkey, and the Vervet monkey, which are a part of the SIV-resistant group. According to our phylogenies, Sumatran orangutans are more related to Sooty mangabey, Golden snub-nosed monkey, and the Vervet monkey, than to the macaques, indicating possible selection to differentiate the two groups. <br><br>
DOI: 10.6084/m9.figshare.13249163.v3
title: Data for Combination Green Tea and Green Coffee Extract on Inflammatory in Metabolic Syndrome Rat Model

description: This data contain Metabolic profile, gene expression, and protein level of metabolic syndrome rat model
DOI: 10.6084/m9.figshare.22153985.v1
title: Master chart thesis.xlsx

description: Data set of test and control group
DOI: 10.6084/m9.figshare.23607747.v1
title: patient44.rar

description: A Patient with fundus images that taken by Ret-cam.