cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gccfw77yc7
title: Human Vocal Tract Length

description: This dataset comprises recordings collected from nine native American English speakers, including five males (M1, M2, M3, M4, M5) and four females (F1, F3, F4, F5), aged between 20 and 46 years. All participants reported no hearing or speaking impairments.
Vocal Tract Length (VTL) Measurement

1st column: The lowest resonance frequency, Φ=c/4L​, was calculated for a lossless uniform tube of length L, where c=35300cm/s (speed of sound). Here, L represents the Vocal Tract Length (VTL), which was measured using real-time magnetic resonance imaging (MRI) videos.

Acoustic Features
2nd column: Fundamental Frequency (F0​) in Hz.
3rd to 6th columns: Scaled formant values:
 f1/1: first formant scaled by 1
 f2/3: second formant scaled by 3
 f3/5: third formant scaled by 5
 f4/7: fourth formant scaled by 7
 12 Mel-Frequency Cepstral Coefficients (MFCCs). The 0th-order MFCC coefficient was excluded.
For additional information: P. Vasquez-Serrano, J. Reyes-Moreno, Rodrigo Capobianco Guido, Alexander Sepúlveda-Sepúlveda, MFCC Parameters of the Speech Signal: An Alternative to Formant-Based Instantaneous Vocal Tract Length Estimation, Journal of Voice, 2023, ISSN 0892-1997, https://doi.org/10.1016/j.jvoice.2023.05.012
DOI: 10.17632/vt8bf9pmf8
title: Colocalization analysis of high-resolution cortical structures from GV-oocytes injected with ZnT2mCherry + ZnT4TGFP and MII eggs immunostained with anti-ZnT2 + anti-ZnT4

description: Colocalization analysis of high-resolution cortical structures from GV-oocytes injected with ZnT2mCherry + ZnT4TGFP and MII eggs immunostained with anti-ZnT2 + anti-ZnT4
DOI: 10.17632/yxp8rbjrn8
title: Falls efficacy scale-international (the short version) among Iranian older people

description: Using SPSS file to integrate the data of FES-I short version in snd mid-year 2021
DOI: 10.6084/m9.figshare.22723889.v1
title: Data and Code from Pigot et al 2023 <strong>Abrupt expansion of climate change risks for species globally</strong>

description: The gridded geographic range data for birds used in Pigot et al 2023 is excluded from this dataset. The underlying vector range maps can be requested from http://datazone.birdlife.org/species/requestdis. Derived exposure metrics are included for all species.
DOI: 10.6084/m9.figshare.23258096.v2
title: Supplemental table 2 with references

description: proteomic analysis in HFpEF
DOI: 10.6084/m9.figshare.3520064.v1
title: Appendix A. Map of sampling sites.

description: Map of sampling sites.
DOI: 10.6084/m9.figshare.5121775.v1
title: Supplementary Material for: Hypoxia Induces Tumor Aggressiveness and the Expansion of CD133-Positive Cells in a Hypoxia-Inducible Factor-1α-Dependent Manner in Pancreatic Cancer Cells

description: <i>Background:</i> Intratumoral hypoxia is known to lead to increased aggressiveness and distant metastasis. However, the interplay underlying these actions is still unknown. <i>Objective:</i> We explored whether cancer cells might acquire a stem-like phenotype under hypoxia, consequently leading to an aggressive phenotype, including invasiveness and metastasis. <i>Methods:</i> Under normoxia (20% O<sub>2</sub>) or hypoxia (1% O<sub>2</sub>), the expression of CD133 (cancer stem cell marker), CXC chemokine receptor 4 (CXCR4) and hypoxia-inducible factor-1α (HIF-1α) was examined by RT-PCR and immunostaining using human pancreatic cancer cell lines. We also examined if hypoxia facilitates the invasiveness of CD133+ cancer cells. Furthermore, we transfected dominant active HIF-1α (HIF-1αΔODD) by the retroviral gene transfer and examined the effects both in vitro and in vivo. <i>Results:</i> Compared with normoxia, hypoxia elevated the expression of CD133, CXCR4 and HIF-1α. Moreover, hypoxia facilitated the invasiveness of CD133+ pancreatic cancer cells. The behavior of HIF-1αΔODD-transfected cells under normoxia was compatible with that of the parent cells under hypoxia. Furthermore, a xenograft model of HIF-1αΔODD cells showed aggressiveness, including metastasis and highly tumorigenic ability. <i>Conclusion:</i> Hypoxia induces tumor aggressiveness associated with the expansion of CD133+ pancreatic cancer cells in a predominantly HIF-1α-dependent manner.
DOI: 10.17632/2275fmvdzc
title: A comparison of numerical approaches to the solution of the time-dependent Schrödinger equation in one dimension

description: We present a simple, one-dimensional model of an atom exposed to a time-dependent intense, short-pulse EM field with the objective of teaching undergraduates how to apply various numerical methods to study the behavior of this system as it evolves in time using several time propagation schemes. In this model, the exact Coulomb potential is replaced by a soft-core interaction to avoid the singularity at the origin. While the model has some drawbacks, it has been shown to be a reasonable representation of what occurs in the fully three-dimensional hydrogen atom. The model can be used as a tool to train undergraduate physics majors in the art of computation and software development.
DOI: 10.6084/m9.figshare.11966205.v1
title: Methods for and pigments extration and determination of color in tomato for processing cultivars

description: Abstract The aim of this research was compare methods for pigments extraction and color determination in different tomato for processing cultivars, and choose the most promising materials for the industry. The tomatoes for processing studied were of the IT761, H9992, H9553, AP533, Advance, N901, BRSena, U2006, HY26, HY37 and HY68 cultivars. The extraction yields of lycopene and β-carotene using acetone and the mixture of ethanol, acetone and hexane (10:10:20) were determined, and the parameters of color were determined by colorimetric and digitals image methods (Cielab and Hunterlab), besides other physicochemical characteristics. The mixture of solvents is more efficient in the extraction of lycopene and β-carotene than acetone on its own. The methods of assessing the color through image presented higher levels of luminosity and chrome a* and b* than the instrumental method, given that the Hunterlab is closer to the colorimeter method, than Cielab. The analysis through digital images indicates that the procedure is promising, and it can be used as a instrument for analysing tomato colors. Considering that the level of TSS is fundamental to industrial performance, the IT761, BRSena, AP543, and H9992 cultivars stand out, moreover these cultivars have higher levels of lycopene and darker red color.
DOI: 10.6084/m9.figshare.14870238.v1
title: Engagement and Interest for Effective Synchronous Online Learning during Movement Order Control: A Systematic Literature Review

description: This dataset is used to analyze published journals from major online databases for theories, factors, methods, and processes related to synchronous online learning, engagement, interest, Covid-19 pandemic, movement control order and higher education institutions.
DOI: 10.6084/m9.figshare.28409204.v1
title: Sulawesi_teleseismic_picks.zip

description: The folder contains all the arrival-time residuals from the 89 stations deployed in Sulawesi
DOI: 10.17632/9zvwjfr3rz
title: Virus tRNA data

description: Design of epitope-based vaccines from tRNA peptides. The Vaccine Data Used And Download Paths to Intermediate Results are available. We initially obtained all available sequences of tRNA nucleotides from GtRNAdb from various species. It was then translated from the EMBOSSTranseq tool into equivalent peptide sequences tREP’s. These tREPs were subsequently screened for complete structural peptide selection via VaxiJen v2.0 to predict antigenic peptides. Depending on T-cell epitope prediction, these antigenic peptides are further screened based on major histocompatibility complex (MHC) class I binding, proteasomal C terminal cleavage, and TAP transport efficiency using NetCTL1.2 Server. The promising epitopes were then selected, based on cell penetration (CellPPD), toxicity (ToxinPred), antigenicity (VaxiJen v2.0), allergenicity (AllerTop v.2.0), conservancy (ECA IEDB Suite), and higher immunogenicity (C1I IEDB Suite) filtration. These epitopes should then be identified by (MHC) I alleles which are present in the endoplasmic reticulum, so that it can bind to them, and can be brought to the surface of the cell, where a T-cell or a B-cell can identify to produce an antibody. In order to bind these epitopes with alleles, the 3D structures of epitopes were generated and the corresponding allele was retrieved from RCSB to perform docking. The stability and conformational changes of these two bindings along with their dynamic interactions are then analyzed, through molecular dynamics.
DOI: 10.17632/m6t24f36my
title: Process Model of Shared Leadership Development: Antecedents, socially constructed interactions and derived practices

description: How is shared leadership practiced? To answer this questions, we conducted three focus groups in Austria in November 2023 with shared leadership teams from industry, a university and in professional cycling sport. This dataset shows the evaluation (codes) in MAXQDA. Finally we developed a Process Model of Shared Leadership Development.
DOI: 10.17632/y6y6jrz7sm
title: EDUCARE: Journal of Primary Education

description: EDUCARE: Journal of Primary Education ini fokus untuk melakukan kajian mendalam pada kajian pemikiran pendidikan dasar PGMI dan PGSD. Jurnal ini mempublikasikan kajian pendidikan secara teori dan praktis, laporan hasil penelitian tentang pendidikan dasar, dan publikasi artikel ilmiah yang berkaitan dengan kajian pendidikan MI dan S
DOI: 10.6084/m9.figshare.29098829.v1
title: Distinguishing causality from cell-type-related pleiotropy reveals immune cell-related drug targets for type 2 diabetes and its complications

description: Supplemental material for 'Distinguishing causality from cell-type-related pleiotropy reveals immune cell-related drug targets for type 2 diabetes and its complications'
DOI: 10.17632/82jswfyz5p
title: Solar Panel Data

description: A solar photovoltaic (PV) plant (operated by Ultra Vibrant Solar Energy Pvt. Ltd.) was installed on the rooftop of Fitpack Textiles in Jaipur, Rajasthan, situated at coordinates 26.76640°N, 75.8326°E and at location: https://maps.app.goo.gl/pHLiy3EW7UEeTTLp6 within the state of Rajasthan, India. The site incorporated two inverters, with Inverter 1 having a capacity of 20 kW and Inverter 2 with a capacity of 100 kW. The collection of data was conducted during the year 2022. The output current and voltage of the panel are measured from 6 AM to 3 PM at every 30 minutes of interval. The daily electrical output collected from INV 1 and INV 2 has been given. For the record there was a technical breakdown in the month of December, and the plant malfunctioned, resulting in negligible data available for many days in December. 
The study examined the variation in electrical output power of solar PV panels with respect to environmental parameters, solar radiation, atmospheric conditions, and external events such as solar flares and CMP outbursts in 2022. The atmospheric conditions analyzed included air temperature, cloud opacity, DNI, DHI, GHI, relative humidity, and wind speed, obtained with the help of data produced by Solcast API (https://solcast.com/Solcast PV). Table 1 denotes the monthly Average Radiation Data obtained from Solcast API. Additionally, wind direction (WD) in degrees and barometric pressure (BP) data, as well as pollution parameters, were sourced from Central Pollution Control Board (CPCB) (All India Central Control Room for Air Quality Management center, Adarsh Nagar, Jaipur). The parameters considered were PM2.5 (µg/m³), PM 10 (µg/m³), NOx (ppb), NH3 (µg/m³), SO2 (µg/m³), CO (mg/m³), Ozone (µg/m³), Benzene (µg/m³), MP-Xylene (µg/m³), and O Xylene (µg/m³). Solar flares and Coronal Mass Ejection (CME) data from the year 2022 were acquired from the NASA website NASA Solar Flare Data and NASA CME Data where DONKI is a comprehensive online database of space weather events for the community. Only solar flares categorized as M and X class were specifically targeted to gauge their impact on the solar output of the system. The above data has been arranged in Tabular form in the given excel sheet. The * in the table indicates the days of flares and CME occurrences. The above data can be processed further for preparing the machine learning (ML)-based output power prediction model.
DOI: 10.17632/j33g3nsm9k
title: Vegetables Image Dataset for Machine Applications

description: We developed the Vegetable Image Dataset to offer a collection of high-quality images featuring some of the most widely consumed and traded vegetables around the Pune. The dataset includes six types of vegetables: potato, chili, tomato, cucumber, beans, and okra. Each vegetable is further categorized into subclasses — potatoes are divided into three size-based classes (large, medium, and small) , while the other vegetables have two distinct varieties each (e.g., Chilies: Sitara, Jipoor, and Jwala; Tomatoes: Regular and Gaavran; Cucumbers: Regular and Gaavran; Beans: Long and Short; Okra: Long and Short) . This results in a total of 13 unique classes within the dataset . The images were taken under various lighting conditions — both natural and artificial — and against White backgrounds, including white, to ensure diversity and realism in the visual context. Given that the visual appearance of vegetables plays a significant role in their market value, this dataset supports research that evaluates vegetable quality through visual inspection . Although there are numerous datasets available for fruits and vegetables, many machine learning projects and applications still require a vegetable-specific dataset due to the unique nutritional importance and visual characteristics of vegetables . A robust dataset like this one enables machine learning models to achieve high accuracy in tasks such as classification and recognition . It's particularly useful for applications in research, education, and agriculture, including areas like detecting pest damage or monitoring quality degradation .
DOI: 10.6084/m9.figshare.6693242.v1
title: An association study of FOXO3 variant and longevity

description: Abstract Human longevity is a polygenic and multifactorial trait. Pathways related to lifespan are complex and involve molecular, cellular, and environmental processes. In this analytical observational study, we evaluated the relationship between environment factors, oxidative stress status, DNA integrity level, and the association of FOXO3 (rs2802292), SOD2 (rs4880), APOE (rs429358 and rs7412), and SIRT1 (rs2273773) polymorphisms with longevity in oldest-old individuals from southeastern Brazil. We found an association between the FOXO3 GG genotype and gender. While lifestyle, anthropometric, and biochemical characteristics showed significant results, DNA damage and oxidative stress were not related to lifespan. We found that long-lived individuals with FOXO3 GT genotype had low levels of triglycerides. This study is the first to demonstrate that FOXO3 could be a candidate gene for longevity in the Brazilian population. These results are important in terms of provisions of health care for age-related diseases and lifespan, and provide insight for further research on epigenetic, gene regulation, and expression in oldest-old individuals.
DOI: 10.17632/kn4636mtvg
title: Data from: A High-Resolution Gridded Dataset to Assess Electrification in Sub-Saharan Africa

description: This repository hosts two ncdf4 files and a txt file containg the output data of the analyis. - One file reports the number of people without access in each grid cell between 2014 and 2020 - The text file allows to access tge 30 meter resolution version of the dataset on Google Earth Engine (based on the High-Resolution Settelement Layer - The third file reports the estimated consumption tier in each electrified cell in 2018 ___________________________________________ Changelog: (v5) - noaccess file updated (years 2019 and 2020 added) - file to access 30 meter resolution version on Google Earth Engine based on the High-Resolution Settelement Layer added ("noaccess_SSA_2014_2020_30m_GEE.txt") (v4) - License changed to CC BY 4.0. (v3): - Fixed a bug which was producing a lower-resolution output .nc file for the consumption tiers file. - Changelog added.
DOI: 10.6084/m9.figshare.17153501.v1
title: Pre-trained Models

description: Pretrained models by the sagenet package
DOI: 10.17632/2h9cxkzj8j
title: Dataset of an airline-driven flight rescheduling problem

description: This data was derived from Luo and Yu (1997), Bard and Mohan (2008), and Brunner (2014). The data is from American Airlines’ daily flight schedule at the Dallas/Fort Worth Airport. There are 71 flights in GDP and the GDP spanned three hours in duration. The planning period of the airline-driven flight rescheduling problem is a half day for one specific season. The data was considered as the base scenario on which a GDP had been issued, and there is no change of the GDP. Including the base scenario, some hypothetical scenarios on subsequent GDPs were assumed and then used to attain the solution. The hypothetical scenarios correspond to new situations in which there are changes in GDP due to weather conditions or external restrictions. The minimum turnaround times of plane and crew were fixed with 30 minutes and 20 minutes, respectively. The maximum allowed time for delays was set to 500 minutes. The misconnection cost of crew members and the cancellation cost of a flight were 50 and 500, respectively. For the incremental delay cost function, each interval, in which different unit costs occurred, was fixed by 60 minutes. There were three intervals. The cost per unit delay time is set to 2, 3, and 4, and associated with each interval, respectively. Correspondingly, the constant value of the incremental delay cost function was set to 0, -60, and -180, and associated with each interval, respectively. The initial flight schedule and the schedule revised by a GDP are presented in "base scenario.csv". The current GDP has been issued at 0. The initial flight schedule defines the arrival and departure times of flights. The connections of crews between flights are also described in the initial flight schedule. In the revised schedule, the arrival times represent the scheduled arrival times of slots. For possible scenarios, ten scenarios were randomly generated. The scheduled arrival times revised by the subsequent GDP in each scenario are presented in scenario##.csv". All the constrained flow rates are 1.81, 1.88, 1.58, 1.64, 1.59, 1.46, 1.49, 1.46, 1.4, and 1.45, respectively. All the next time points are 103, 103, 123, 112, 151, 168, 145, 139, 76, and 103, respectively. In each scenario, the starting times of slots was calculated by adding the inverse of the constrained flow rate to the initial arrival times after the time point, cumulatively. The probability of the base scenario, θ, was set to 0.2, and the probability of the other scenarios was set to 0.08.
DOI: 10.17632/fzy3prfm6y
title: Potential Biomarkers for Alleviation of Streptococcus pneumoniae Pneumonia by QingFei Yin

description: 1. MX—S. pn group, JK—healthy group, TQ—ceftriaxone group, (QFY,QF)—QingFei Yin group

2. The file,  MX,QF     show the data that we extracted, VIP > 1 , p value ≤ 0.01   in red and p value ≤ 0.05 in yellow. and total number of the compounds. The last row of the file use formula =TTEST.

3. Data from the software SIMCA named 2022SLP-N03 and 2022SLP-P03 represent the negative and positive ion data.

4. The TIC data performed by Prism software.

5. R2X and Q2 in image named N-R2X and P-R2X.

6. The pathways names in this paper named MX, JK name_map MX, QF name_map and MX,TQ name_map
DOI: 10.6084/m9.figshare.18737834.v1
title: Jones et al 2022 Oak Cynipid Communties

description: Data files and code to reflect regional and local patterns oak gall wasp communities associated with Quercus garryana from northern California to Vancouver Island, British Columbia (BC). In manuscript “Latitudinal gradient in species diversity provides high niche opportunities for a range-expanding phytophagous insect” <br>
DOI: 10.17632/f8m4kd26sm
title: A bidirectional link between sulfatide and Alzheimers disease

description: Reduced sulfatide-level are found in Alzheimer’s disease (AD) patients. Here we demonstrate that amyloid-precursor-protein (APP) processing regulates sulfatide-synthesis and vice versa. Differentcell culture model and transgenic mice models devoid of APP-processing or in particular the APP intracellular domain (AICD) reveal that AICD decreases Gal3st1/CST-expression and subsequently sulfatide-synthesis. In return, sulfatide-supplementation decreases Abeta-generation by reducing beta-secretase- (BACE1) and gamma-secretase-processing of APP. Increased BACE1 lysosomal-degradation lead to reduced BACE1-protein level in endosomes. Reduced gamma-secretase-activity is caused by a direct effect on gamma-secretase-activity and reduced amounts ofgamma-secretase components in lipid-rafts. Similar changes were observed by analyzing cells and mice brain samples deficient of arylsulfatase-A responsible for sulfatide-degradation or knocked-down in Gal3st1/CST. In line with these findings addition of sulfatides to brain homogenates of AD-patients resulted in reduced gamma-secretase-activity. Human brain APP level shows a significant negative correlation with GAL3STal3st1/CST-expression underlining the in vivo relevance of sulfatide-homeostasis in AD. The here shown data represents the images from the atomic force microscopy to detect Abeta-fibrils in the presence or absence of sulfates. Moreover, an excel-sheet containing the 1-letter codes of the synthetic peptides used in this study is given.
DOI: 10.17632/g8vzrrhjk9
title: Data for: Urban Form and Transportation Energy Consumption

description: This curated dataset is derived from public sources. The aim was to link urban form measurements to energy consumption as proxied by sales in gas stations in the United States. The geographic resolution is a county.
DOI: 10.17632/mwztkppxzc
title: Digitalisation in High Schools (2021 North Macedonia)

description: Questionnaire data for Digitization in High Schools (2021 North Macedonia) Currently there is a gap in the published literature regarding the impact of COVID19 pandemic to the digitalization process in high schools. Therefore, this research study purpose is to reveal the impact of COVID19 pandemic to the digitalization process in high schools, assess the current situation and investigate what is the level of use of the Information Systems in education and especially in school management focusing on the work of the teacher as well as on the management of the teacher's activities. Also, the study investigated the impact and assessed several variables and used statistical data analyses like: ANOVA, One sample test, Bayesian factor and estimates, and crosstab comparison between the dependent variable ”digitalization process” and the other control variables. The research methodology used is triangulation technique which combines qualitative and quantitative methodology. As research method used quantitative method using questionnaires and as qualitative, focus groups. The insights are discussed and argumented and recommendations are provided.
DOI: 10.17632/tbpd29zsg5
title: Science Mapping: systems and methods tutorial.

description: This repository contains tutorials and materials support for updating Smart Bibliometrics. Here will be available new systems that will be launched to support the “Scientific Mapping Process” method.
DOI: 10.17632/y77xtf7w34
title: Dataset on the Thermal Performance of Green Roofs and Green Walls in a Temperate Continental Climate: An Experimental Approach in Quito, Ecuador

description: This dataset comprises temperature and humidity measurements obtained from two experimental building prototypes designed to characterise the thermal behaviour of green roofs and green walls in a temperate continental climate. The data collection took place in Quito, Ecuador (-0.120694, -78.498677)