cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18446935
title: MOBIL ILOVALAR UCHUN XAVFSIZLIK MEXANIZMLARI

description: Ushbu maqolada mobil ilovalar xavfsizligini ta'minlashda qo'llaniladigan zamonaviy mexanizmlar chuqur tahlil qilinadi [1, 2, 10]. Mobil ilovalarning keng tarqalishi bilan birga, foydalanuvchi ma'lumotlarini himoyalash, ruxsatsiz kirishlarning oldini olish va kiberhujumlarga qarshi samarali choralar ko'rish dolzarb muammoga aylandi [3, 6, 7]. Tadqiqotda autentifikatsiya va avtorizatsiya usullari, ma'lumotlarni shifrlash, xavfsiz API bilan ishlash, biometrik himoya, tokenlarga asoslangan xavfsizlik, shuningdek, mobil operatsion tizimlar (Android va iOS) xavfsizlik arxitekturasi ko'rib chiqiladi [4, 5, 7, 8, 9]. Bundan tashqari, OWASP Mobile Top 10 tahdidlari va ulardan himoyalanish yo'llari tahlil qilinadi [1, 10]. Maqola mobil ilova ishlab chiquvchilari uchun xavfsiz va ishonchli ilovalar yaratishda amaliy tavsiyalar beradi [2, 6, 10].
DOI: 10.15468/dl.9dv7tr
title: Occurrence Download

description: A dataset containing 4285 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachythecium laetum"
 ]
}

 The dataset includes 4285 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004373-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nc9j2w
title: Occurrence Download

description: A dataset containing 1167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ouratea castaneifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1167 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004375-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18446946
title: TISHLARNI TABIIY SHAKL VA FUNKSIYASIGA MOS HOLDA TIKLASH TEXNOLOGIYALARI

description: Restoring teeth to their natural shape and function is a critical goal in modern dentistry. Advances in dental materials, adhesive technologies, and digital dentistry have enabled precise reconstruction of tooth anatomy, ensuring both aesthetic and functional outcomes. Techniques such as CAD/CAM restorations, biomimetic materials, and minimally invasive procedures allow for the preservation of healthy tooth structure while restoring damaged or decayed teeth. These approaches improve patient satisfaction, longevity of restorations, and overall oral health [1, 2, 3].
DOI: 10.5281/zenodo.18446945
title: TISHLARNI TABIIY SHAKL VA FUNKSIYASIGA MOS HOLDA TIKLASH TEXNOLOGIYALARI

description: Restoring teeth to their natural shape and function is a critical goal in modern dentistry. Advances in dental materials, adhesive technologies, and digital dentistry have enabled precise reconstruction of tooth anatomy, ensuring both aesthetic and functional outcomes. Techniques such as CAD/CAM restorations, biomimetic materials, and minimally invasive procedures allow for the preservation of healthy tooth structure while restoring damaged or decayed teeth. These approaches improve patient satisfaction, longevity of restorations, and overall oral health [1, 2, 3].
DOI: 10.6084/m9.figshare.12523625.v1
title: Data for the manuscript entitled "The distribution of herbivores between leaves matches their performance only in the absence of competitors Item"

description: Data for the manuscript entitled "The distribution of herbivores between leaves matches their performance only in the absence of competitors".<br>We supply an excel file with three data sheets. The first one concerns the oviposition rate of T. urticae and T. evansi on old and young leaves of plants previously infested with heterospefics on one leaf for 48 hours or left uninfested. The second shows the carbon to nitrogen ratio on old and young leaves of each plant, as well as the oviposition rate of T. urticae or T. evansi averaged per leaves of each plant. Finally, the 3rd data sheet shows the choice of T. urticae and T. evansi between old and young leaves of plants previously infested with heterospefics on one leaf for 48 hours or left uninfested.
DOI: 10.6084/m9.figshare.22799180.v1
title: Rekapitulasi Survei Mahasiswa Tentang Topik Skripsi di Prodi Pendidikan Teknik Mesin

description: Dokumen ini adalah rekapitulasi hasil survei terhadap mahasiswa Prodi Pendidikan Teknik Mesin Universitas Negeri Medan tahun angkatan 2019. Survei ini bertujuan untuk mengetahui kebermanfaatan ChatGPT sebagai solusi alternatif untuk menemukan topik skripsi bagi mahasiswa yang belum memiliki topik skripsi sesuai dengan bidangnya.
DOI: 10.6084/m9.figshare.28989125.v1
title: Supplementary File 3. Individual phylogenomic analyses with different settings.

description: Supplementary File 3. Individual phylogenomic analyses with different settings.
DOI: 10.17632/65pzb3j9dh
title: Data for: Title: An 1800-year stable carbon isotope chronology based on sub-fossil wood from Lake "Schwarzensee", Austria

description: "Schwarzensee" stable carbon isotope chronology.
DOI: 10.17632/b5pbybr6db
title: Transcriptome and metabolome association analysis of passion fruit

description: The transcriptome and metabolome association analysis in purple and yellow fruited Passiflora edulis revealed consistent expression trends of key PeZIPs with metabolites, which may play roles in stress resistance of passion fruit.
DOI: 10.17632/dvh5jcd63m
title: Tensile mechanical properties of MS AHSS grade 1700

description: Tensile curves obtained at room temperature on a martensitic Advanced High Strength Steel grade 1700.
The angular direction is measured with respect to the sheet rolling direction.


Financed by the European Union - NextGenerationEU (National Sustainable Mobility Center CN00000023, Italian Ministry of University and Research Decree n. 1033 - 17/06/2022, Spoke 11 - Innovative Materials & Lightweighting). The opinions expressed are those of the authors only and should not be considered as representative of the European Union or the European Commission’s official position. Neither the European Union nor the European Commission can be held responsible for them. 

Keywords: Spoke11 - CNMS MOST, Ferrous alloys
DOI: 10.17632/mmknk3x2dt
title: Analysis of plasma proteomes from patients with hepatocellular carcinoma receiving combination therapy

description: proteinGroups.txt, SupplementaryData.R, SupplementaryData.RData
DOI: 10.6084/m9.figshare.14691525.v1
title: data for IEEE 34-Bus System.xls

description: IEEE 34-bus test system
DOI: 10.6084/m9.figshare.24473107.v2
title: Potential evapotranspiration data in Northwest China, 1983

description: The potential evapotranspiration in Northwest China is calculated by the Penman-Monteith equation using meteorological data such as wind speed, sunshine duration, and maximum and minimum temperature.
DOI: 10.17632/4328wcmy8m
title: Fault_Diagnosis_for_AUV

description: The dataset contains 1225 data samples for 5 fault types (labels). We divided the dataset into the training set and the test set through random stratified sampling. The test set accounted for 20% of the total dataset. Our experimental subject is `Haizhe', which is a small quadrotor AUV developed in the laboratory. For each fault type, `Haizhe' was tested several times. For each time, `Haizhe' ran the same program and sailed underwater for 10-20 seconds to ensure that state data was long enough. The state data recorded in each test were then used as a data sample, and the corresponding fault type was the true label of the data sample. The dataset was used to validate a model-free fault diagnosis method proposed in our paper (DOI:https://doi.org/10.1016/j.oceaneng.2021.108874)
DOI: 10.17632/gghwfcck9k
title: Data for: Can political inequalities explain health inequalities?

description: Aggregate measures of health inequalities and associated correlates
DOI: 10.17632/jvkx42pf3z
title: MYFUELS IR Library Version 1.0 (January 19, 2022)

description: There are 82 spectra of Malaysian diesel and petrol in the library (January 19, 2022). About 13 fuel pump stations in Malaysia contribute for the data. The fuel products included in this library were petrol RON 95, RON 97, diesel B7 and diesel B10.  The fuel products were acquired directly from the fuel pump nozzle at the fuel pump station. Each spectrum in this library was generated using a Compact FTIR Spectrometer Alpha II from Bruker.
DOI: 10.6084/m9.figshare.24256081.v1
title: R code for Statistical Analysis and plots related to the article "Is taurine an aging biomarker?"

description: This collection contains R code for Statistical Analysis and plots related to our article "Is taurine an aging biomarker?" [ M. E. Fernandez et al., Science 388, eadl2116 (2025). DOI: 10.1126/science.adl2116 ]<b>“Analysis” folder</b>This folder contains R code for all statistical analysis associated to our article "Is taurine an aging biomarker?"<b>“Main Manuscript Plots” folder</b>This folder contains the plots provided in the figures of the main manuscript, together with equivalent plots (same data and results) that present different y-axis limits, allowing to better assess variability within each cohort. This is indicated in the name of the plot. E.g., the string “y0-75” in the name “1Ba_Balearic-F(5x11,2.5pt,<b>y0-75</b>)” indicates that the limits of the y-axis were set between 0-75, which corresponds to the range of taurine values in this cohort (in contrast to the main manuscript figure, which presents the y-axis limits between 0-336 for ease of comparison across cohorts). Similarly, the characters in the string “1Ba_” indicate that this plot is equivalent to the plot in Figure 1, panel B, left side, respectively. The full name of the cohort is indicated in the name of the plot. Plots for females and males are indicated with “F” and “M”, respectively.<b>“Supplementary Material Plots” folder</b>This folder contains the plots provided in the figures of the supplementary material, together with equivalent plots (same data, same results) that present different y-axis limits that allow to better assess variability within each cohort. This is indicated in the name of the plot. E.g., the string “y0-75” in the name “S1Ba_Balearic-F(5x11,2.5pt,<b>y</b><b>0-75</b>)” indicates that the limits of the y-axis were set between 0-75, , which corresponds to the range of taurine values in this cohort (in contrast to the main manuscript figure, which presents the y-axis limits between 0-336 for ease of comparison across cohorts). Similarly, the characters in the string “1Ba_” indicate that this plot is equivalent to the plot in Figure 1, panel B, left side, respectively. The full name of the cohort is indicated in the name of the plot. Plots for females and males are indicated with “F” and “M”, respectively.<b>“Complementary Plots” folder</b>This folder contains plots to visualize the results presented in supplementary tables S40-S45 of our article (for details see scripts "Analysis1_BLSA-females-adjDiet.R", "Analysis1_BLSA-males-adjDiet.R", “Analysis1_BLSA-females-excluding-outliers.R”, “Analysis1_BLSA-males-excluding-outliers.R”, “Analysis1_BLSA-females-onlyActive.R”, “Analysis1_BLSA-males-onlyActive.R”, in the folder “Analysis”). None of these plots are provided in the figures of the main manuscript or the supplementary material. The names of the plots follow the same rules described above.<br>
DOI: 10.1184/r1/14226830.v3
title: eVTOL Battery Dataset

description: A dataset of lithium ion battery discharge data including voltage, temperature, and current from eVTOL duty cycles.<br> <br> The baseline profile is: - High power discharge (takeoff) - Low power discharge (cruise) - High power discharge (landing) - Rest to allow temperature to moderate - Constant current charge - Constant voltage charge - Rest <br> This dataset varies parameters such as ambient temperature, cruise length, aircraft power, charge current, and others which eVTOLs may regularly encounter during flight. It is intended to assist with the development of algorithms to manage electric aircraft batteries, including state of charge and state of health estimation, lifetime prediction, and others. <br> The files VAH##.csv contain the original cycling data, while the files VAH##_impedance.csv contain the processed internal resistance for each cell at each valid measurement of that quantity.
DOI: 10.17632/jmgfb6mg2h
title: ITCH-RELIEF4Me: Interactive Toolbox of Comprehensive Health Resources to Enhance Living with Itch - Educational Facilitation

description: Background: Many patients with chronic itch and atopic dermatitis (AD) or psoriasis do not receive/use available medical and psychosocial treatments properly due to system, provider, and/or patient factors. Objective: An educational website (ITCH-RELIEF4Me) to improve itch-related quality of life (QoL) for adults with AD or psoriasis and chronic itch was developed and assessed. Psychometric characteristics of the English version Itch Cognitions Questionnaire and two new measures of scratch as well as sleep-related scratch and itch were evaluated. Methods: Single-arm pre- and post-test design with one-month follow up (N = 137 at baseline).
DOI: 10.6084/m9.figshare.28440770.v1
title: dataset.zip

description: The dataset selected from the WoS for the year 2022 encompasses the “Multidisciplinary Categories,” which include 14 categories: “Information Science & Library Science, Computer Science, Information Systems, Computer Science, Interdisciplinary Applications, Computer Science, Software Engineering, Computer Science, Theory & Methods, Automation & Control Systems, Computer Science, Artificial Intelligence, Computer Science, Cybernetics, Computer Science, Hardware & Architecture, Radiology, Nuclear Medicine & Medical Imaging, Robotics, Logic, Mathematical & Computational Biology, and Medical Informatics.”
DOI: 10.17632/8nyr2pkmc7
title: Index of Progress dataset

description: The following dataset comprises of two data series: for periods 1960-1990 and 1990-2019.

Countries covered include: United States, United Kingdom, Germant, France, Italy, Japan (G6), China, South Korea, India, Indonesia, Thailand, Poland (I6), Zambia, Chile, Congo, Ghana, Uganda and Colombia (LDC's).

Indicators include:

For 1960-1990 period: value of manufacturing production, manufacturing exports, exports as % of GDP, current accounts balance, share of manufacturing in value added, employment share in manufacturing, capital per employed worker, investments as % of GDP, gross savings as % of GDP, FDI inflows as % of GDP, expected years of education, GDP per capita PPP.

For 1990-2019 period: share of high-tech exports, value of high-tech exports, value of services exports, Herfindahl index, exports as % of GDP, services as % of GDP, employment share in services, value of produced services, investments as % of GDP, energy efficiency, R&D spending as % of GDP, education expenditure as % of GDP, tertiary enrolment rate, GNI per capita PPP, share of renewables in electricity generation.

Dataset has been collected using various sources, relevant links are provided next to the corresponding series.

Some of the values were extrapolated and estimated, all the data thus obtained were marked and described accordingly.
DOI: 10.6084/m9.figshare.2082715.v2
title: Personalized Dose Finding Using Outcome Weighted Learning

description: In dose-finding clinical trials, it is becoming increasingly important to account for individual-level heterogeneity while searching for optimal doses to ensure an optimal individualized dose rule (IDR) maximizes the expected beneficial clinical outcome for each individual. In this article, we advocate a randomized trial design where candidate dose levels assigned to study subjects are randomly chosen from a continuous distribution within a safe range. To estimate the optimal IDR using such data, we propose an outcome weighted learning method based on a nonconvex loss function, which can be solved efficiently using a difference of convex functions algorithm. The consistency and convergence rate for the estimated IDR are derived, and its small-sample performance is evaluated via simulation studies. We demonstrate that the proposed method outperforms competing approaches. Finally, we illustrate this method using data from a cohort study for warfarin (an anti-thrombotic drug) dosing. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.23617320.v1
title: MSWIM

description: SWIM
DOI: 10.6084/m9.figshare.29035637.v2
title: <b>Frequency of Compound Drought and Heatwaves</b>

description: We combined the agricultural drought index as well as the heat wave index to identify the frequency of CDHW from 1990-2020.
DOI: 10.6084/m9.figshare.29160797.v1
title: Territory Size Data

description: Raw data for Western Meadowlark (<i>Sturnella neglecta</i>) territory size calculations. We included two sets of each year, one calculates territories based on all points taken and one removes points that are separated by more than a week.
DOI: 10.6084/m9.figshare.9199172.v1
title: HITChip profiling of Indian gut microbiota

description: This data set contains experimental data for the study by Kumaraswamy et al. (forthcoming).Contact: Jeyaram KumaraswamyData description:* genus_hitchip: HITChip phylogenetic microarray data matrix (genus abundances). The HITChip data provides absolute HITChip signal estimate as described in the main article and references.* Metadata: sample information* Code: analysis source code (R files)* License: CC-BY-4.0<br>
DOI: 10.17632/4fwbcswj8d
title: Inherited PD-L1 deficiency: single-cell RNA sequencing (scRNASeq) of cryopreserved PBMCs

description: Cryopreserved PBMCs from the PD-L1-deficient siblings, their heterozygous mother, one age-matched healthy control, and two adult healthy controls were subjected to single-cell RNA sequencing (scRNASeq) analysis as previously described (Ogishi et al., JEM., 2022). In addition, PBMCs from two APDS patients and one STAT3 GOF patient were analyzed as disease controls. Previously obtained data for healthy and diseased controls, including the PD-1-deficient child and his healthy brother (Ogishi et al., Nat. Med., 2021) and one RNaseL-deficient MIS-C patient (Lee et al., Science., 2023), were also integrated into the analysis. Gene regulatory network (GRN) analysis was conducted with the SCENIC pipeline (Aibar et al., Nat. Method., 2017).
DOI: 10.17632/dtvbwrhznz
title: MED117_Medicinal Plant Leaf Dataset & Name Table

description: There are two datasets and one table uploaded in this platform under the title "MED117_Medicinal Plant Leaf Dataset & Name Table".  A folder is created with title "MED 117 Leaf Species". Inside this two sub folders with titles " Raw leaf image set of medicinal plants_v2" and "Segmented leaf set using UNET segmentation" are created.  Raw leaf image set consists of leaf images of 117 medicinal plants found in Assam. All the samples are collected by visiting different (Govt, Public and Private) medicinal gardens situated in different places of Assam and some other general places where they are mostly found. Videos of 10 to 15 seconds duration were taken for two to three leaves of every species on a white background and video recording was done using a SLR Canon Camera. Individual videos were segregated into image frames and thus were able to get around 77,700 jpg image frames from the videos. The Raw leaf image set consists of folders with scientific name and common name within bracket. 
        Second  folder with title "Segmented leaf set using UNET segmentation" consists of 115 medicinal plant species with their  segmented leaf image samples using  UNET segmentation technique. Here two species  are excluded from the original dataset due to small unpredictable size of the samples, so total 115  subfolders inside the segmented folder is achieved.
        Thirdly a table in doc format with title "Medicinal Plant Name  Table" is uploaded and it includes Scientific name, Common name and Assamese name of the plants listed in the folders in the same sequence.  The whole contribution is absolutely original and new, collected from different sources then processed for segmentation and prepared the table by discussing with taxonomy experts from Botany department of Gauhati University, Guwahati, Assam. India.
DOI: 10.6084/m9.figshare.26397817.v1
title: Altered Emotion Perception in Insomnia, Anxiety, Depression, Mania, Psychotic & Schizotypal Symptoms

description: SPSS and Excel data files associated with the data descriptor entitled "Altered emotion perception in insomnia, anxiety, depression, mania, psychotic experiences and schizotypal symptoms: a dataset" published in Scientific Data.
DOI: 10.6084/m9.figshare.26978473.v2
title: Supplemental Table S1. Sample metadata from Spatial and seasonal foraging patterns drive diet differences among North Pacific resident killer whale populations

description: Supplemental Table S1. Sample collection date and location, as well as additional metadata used to divide samples into strata for statistical analysis or data visualization in this study.
DOI: 10.6084/m9.figshare.6815699.v10
title: JARVIS-DFT 3D dataset (jdft_3d.json)

description: Dataset for 3D materials <br> Websites: 1) https://jarvis.nist.gov/jarvisdft ,<br> 2) https://jarvis-tools.readthedocs.io/en/master/databases.html , 3) https://jarvis-tools.readthedocs.io/en/master/publications.html <br> Loading the dataset: <br> unzip jdft_3d-12-12-2022.json.zip import os, json import pandas as pd f = open(' jdft_3d-12-12-2022.json', 'r') data3d=json.load(f) f.close() df=pd.DataFrame(data3d) print (df) <br> or <br> pip install jarvis-tools from jarvis.db.figshare import data data2d = data('dft_3d') <br> ######################################### For more details about using the dataset, use the jupyter-notebooks: https://github.com/JARVIS-Materials-Design/jarvis-tools-notebooks<br> <br>
DOI: 10.17632/869vkpzc3f
title: Impaired humoral immunity is associated with prolonged COVID-19 despite robust CD8 T-cell responses. Lyudovyk, Kim, Qualls et al

description: Clinical and laboratory data from 103 patients at Memorial Sloan Kettering Cancer Center with previous SARS-CoV-2 infection, including epidemiological data, hospitalization data, clinical laboratory data, and research laboratory data including TCR sequencing, ELISPOT, flow cytometry, antibodies to nucleocapsid and spike-RBD.
DOI: 10.17632/cpwp96hwn2
title: I2Mech

description: Appendices (data and files) for the technical report: The I2 – Statistic As Test For Selection Bias In Randomised Controlled Trials
DOI: 10.4121/21603993.v1
title: Impact of user generated content on customer engagement

description: To investigate the role of User-Generated Content in customer engagement by identifying the factors that influence customer engagement on social commerce sites.
DOI: 10.6084/m9.figshare.11653500.v1
title: Trace Recovery SLR Quality Assessement List.pdf

description: Quality Assessment Checklist
DOI: 10.6084/m9.figshare.13193600.v3
title: Data for the manuscript Predicting microbial growth dynamics in response to nutrient availability

description: Data for the manuscript Predicting microbial growth dynamics in response to nutrient availability
DOI: 10.6084/m9.figshare.13435310.v2
title: Training Nurses to Perform Water Swallow Test with Use of Standardized Patients (raw data & analysis)

description: This excel sheet contains raw data and the data analysis for the manuscript "Training Nurses to Perform Water Swallow Test with use of Standardized Patients" submitted to The Asian Pacific Scholar (TAPS) Journal.
DOI: 10.6084/m9.figshare.17708030.v1
title: data_PD_46_BBS.xlsx

description: posture data for human balance