cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/uuid:a4162b99-5110-4b89-bcc8-68985e7de32f
title: X-ray microtomography of early Iron Age glass beads

description: The data contain X-ray micro-computed tomography scans of two frothy glass beads found in an urn-field in Zutphen, the Netherlands. It contains the raw data and the interpretation. Also included is a short video (mp4 file) with an explanation and animation of the scans.
DOI: 10.6084/m9.figshare.20135036.v1
title: Wood nutrient (i.e., P, K, Mg and Ca) concentrations of tropical trees from eastern Amazonia

description: This dataset contains wood nutrient concentrations, as wellas wood specific gravity and xylem parenchyma fractions, for 22 tree species of eastern Amazonia (French Guiana)
DOI: 10.6084/m9.figshare.20424582.v4
title: RSCD: Road Surface Classification Dataset with Detailed Annotations for Driving Assistance

description: The preview of the road surface states is essential for improving the safety and the ride comfort of autonomous vehicles. This dataset consists of 1 million (240 x 360 pixels) road surface images captured under a wide range of road and weather conditions in China. The original pictures are acquired with a vehicle-mounted camera and then the patches containing only the road surface area are cropped. The images are classified into 27 categories, containing both the friction level, material, and unevenness properties. The dataset is divided into train-set(~960k samples), validation-set(~20k samples), test-set(~50k samples) . This large-scale dataset is useful for developing vision-based road sensing modules to improve the performance of the driving assistance systems. More details ,please visit Github: ztsrxh/RSCD-Road_Surface_Classification_Dataset: A large-scale road surface image classification dataset for driving assistance applications (github.com)
DOI: 10.6084/m9.figshare.21070198.v1
title: phishingfeatures.csv

description: Dataset contatining combination of phishing and legitimate URLs along with several extracted features.
DOI: 10.6084/m9.figshare.21608295.v1
title: mutton sheep

description: <strong>N-carbamylglutamate acid supplementation improves meat quality, hindgut short-chain fatty acid contents, and fecal microbiota in mutton sheep</strong>
DOI: 10.6084/m9.figshare.25225931.v1
title: SMAP SM and VOD retrievals (2016-2020)

description: The accuracy of global soil moisture (SM) and vegetation optical depth products at L-band (L-VOD) derived from the inversion of radiative transfer-based models is highly dependent on the input of soil temperature. The latter can be obtained from model-based temperature products. However, their performance as input for retrieval algorithms for global-scale SM and L-VOD has not been evaluated so far. To fill this gap, our research aims to evaluate four commonly used model-based soil temperature products as input to the SMAP-INRAE-BORDEAUX (SMAP-IB) algorithm for retrieving SM and L-VOD. More specifically, differences in SMAP-IB retrieval of SM and L-VOD were investigated based on four model-based soil temperature sources as input and four temperature configurations, including different <i>T</i><sub><em>C</em></sub> settings and <i>T</i><sub><em>G</em></sub> settings. We provide 16 group of SM and L-VOD products, and the code of TCA method.
DOI: 10.17632/65gxgy2nmg
title: An Extensive Dataset for the Heart Disease Classification System 

description: Finding a good data source is the first step toward creating a database. Cardiovascular illnesses (CVDs) are the major cause of death worldwide. CVDs include coronary heart disease, cerebrovascular disease, rheumatic heart disease, and other heart and blood vessel problems. According to the World Health Organization, 17.9 million people die each year. Heart attacks and strokes account for more than four out of every five CVD deaths, with one-third of these deaths occurring before the age of 70. A comprehensive database for factors that contribute to a heart attack has been constructed. The main purpose here is to collect characteristics of Heart Attack or factors that contribute to it. 
The size of the dataset is 1319 samples, which have nine fields, where eight fields are for input fields and one field for an output field. Age, gender, heart rate (impulse), systolic BP (pressurehight), diastolic BP (pressurelow), blood sugar(glucose), CK-MB (kcm), and Test-Troponin (troponin) are representing the input fields, while the output field pertains to the presence of heart attack (class), which is divided into two categories (negative and positive); negative refers to the absence of a heart attack, while positive refers to the presence of a heart attack.
DOI: 10.17632/zffkv4ccfd
title: A modular and flexible open source cell incubator system for mobile and stationary use

description: Culturing living cells in vitro requires the maintenance of physiological conditions for extended periods of time. Here, we introduce a versatile and affordable incubation system, addressing the limitations of traditional incubation systems. Conventionally, stationary cell incubators maintain constant temperature and gas levels for in vitro cell culturing. Combining such incubators with additional lab equipment proves challenging. The presented platform offers modularity and adaptability, enabling customization to diverse experimental needs. The system includes a main unit with a user-friendly interface as well as an interchangeable incubation chamber. We present two incubation chambers targeting two completely different use cases. The first chamber, named "inkugo" facilitates the transportation of cells for up to two hours without external power and for more than a day without an external CO2 source. The second chamber termed "inkubox" supports continuous electrophysiological recordings from multiple neural cultures in parallel. The system's unique feature lies in its separability of control and incubation components, allowing one control unit to manage various custom chambers. The design's simplicity and the use of widely accessible components make the here proposed incubation system replicable for any laboratory. This platform fosters collaboration and experimentation in both decentralized and traditional laboratory settings, making it an invaluable addition to any cell culturing pipeline.
DOI: 10.6084/m9.figshare.1230077.v3
title: Planar bifunctional Luneburg-fisheye lens made of an anisotropic metasurface

description: Luneburg-fisheye lens made of anisotropic metasurface, which features as Luneburg along the horizontal optical axis while as fisheye along the vertical optical axis. We propose a method to control the inhomogeneous indexes of refraction independently along the two optical axes by designing anisotropic and non-uniform metasurface, which can provide the required distributions of refractive indexes approximately for Luneburg and fisheye lenses watching from the two optical axes. Experiments in the microwave frequency demonstrate very good performance of the planar bi-functional Luneburg-fisheye lens. The proposed method opens a venue to design other kinds of bi-functional devices using metasurfaces in the microwave, terahertz, and even optical frequencies.
DOI: 10.6084/m9.figshare.24716469.v1
title: Dataset SPSS output.docx

description: This data contain of all the SPSS data output consist: 1. SPSS 25 Output Test of Validity and Reliability of the TCCNI Instrument2. SPSS 25 Output Test of Validity and Reliability of the CNPI-23 Instrument3. Univariate Analysis Output (Frequency Distribution and Proportion)4. Bivariate Analysis Output (Chi Square test) Independent Variable and Dependent Variable5. Bivariate Analysis Output (Chi Square test) Confounding Variables: Age of COVID-19 Patients and Dependent Variable6. Bivariate Analysis Output (Chi Square test) Role Variable: Gender of COVID-19 Patient and Dependent Variable7. Bivariate Analysis Output (Chi Square test) Confounding Variables: COVID-19 Patient Education Level and Dependent Variable8. Bivariate Analysis Output (Chi Square test) Confounding Variables: Length of Treatment for COVID-19 Patients and Dependent Variable9. Bivariate Analysis Output (Chi Square test) Confounding Variables: Frequency of Treated COVID-19 Patients and Dependent Variable10. Multivariate Analysis Output (Logistic Regression test)
DOI: 10.6084/m9.figshare.28683098.v2
title: MasterThesis_StefanFrey

description: Data for Master thesis, Olfactory perception of GLV and common flower volatilesin bees and wasps: a comparative study
DOI: 10.6084/m9.figshare.5125618.v1
title: Supplementary Material for: NO-Dependent Endothelial Dysfunction in Type II Diabetes Is Aggravated by Dyslipidemia and Hypertension, but Can Be Restored by Angiotensin-Converting Enzyme Inhibition and Weight Loss

description: <b><i>Aims:</i></b> Insulin resistance, dyslipidemia and hypertension are independent mediators of endothelial dysfunction. It is incompletely defined whether dyslipidemia and hypertension in addition to diabetes mellitus type II (DMII), as seen in the metabolic syndrome (MS), worsen diabetes-induced endothelial dysfunction. Furthermore, it is unclear whether treatment influences endothelial dysfunction similarly in MS and DMII. Therefore, we studied vascular reactivity and the effect of in vivo treatment with angiotensin-converting enzyme inhibition (ACE-I) or hypocaloric diet in LDL receptor- and leptin-deficient (ob/ob), double knockout mice (DKO), featuring MS and in ob/ob mice with DMII. <b><i>Methods and Results:</i></b> Vascular reactivity was studied in isolated aortic ring segments. Maximum vasorelaxant response to acetylcholine (Ach) was more depressed in DKO than in ob/ob mice, whereas response to bradykinin (BK) was equally attenuated in both genotypes (52 ± 3 and 23 ± 9% reversal of preconstriction induced by 10<sup>-7</sup>M phenylephrine in DKO vs. 76 ± 3 and 23 ± 8% reversal of preconstriction in ob/ob mice, respectively). ACE-I and hypocaloric diet improved ACh-induced vasorelaxation significantly (89 ± 2 and 59 ± 2% reversal of preconstriction in DKO vs. 80 ± 3 and 84 ± 4% in ob/ob mice, respectively), but not the response to BK. <b><i>Conclusion:</i></b> These results indicate a differential impact of DMII and MS on endothelial function. ACE-I and hypocaloric diet improved ACh-, but not BK-induced vasorelaxation in these mouse models of DMII and MS.
DOI: 10.17632/75s8ggh2bc
title: Data for: Academic Stress and Smartphone Dependence among Chinese Adolescents: A Moderated Mediation Model

description: Linear regression analysis was used to investigate the relationship among the variables. The results showed that academic stress was positively related to psychological distress, which may further lead to severe smartphone dependence. Psychological distress partially mediated the relationship between academic stress and smartphone dependence. The mediating effect of psychological distress between academic stress and smartphone dependence was moderated by academic resilience. Specifically, academic resilience weakened the indirect relationship between academic stress and smartphone dependence that was mediated by psychological distress.
DOI: 10.17632/wgm7tnbxtm
title: Online Communication of National Olympic Committees

description: This data was collected to identify current practices of public relations (PR) professionals in five National Olympic Committees (NOCs). The present data is made public in relation to an article being submitted. The final dataset is comprised of 17 NOCs. However, considering that the data reported in the manuscript was regarding only five NOCs, we published data related to these NOCs.
The dataset will be fully published when a study of the 17 participants is finalized. 
The dataset contains:
- Five responses pertaining to five NOCs;
- A brief summary of the steps followed in order to gather present data;
- The interview guide.

N.B. data was collected by way of email interviewing.
DOI: 10.6084/m9.figshare.18667526.v1
title: Genome annotation of Bretschneidera sinensis

description: Genome annotation of Bretschneidera sinensis
DOI: 10.6084/m9.figshare.28120535.v1
title: SAT results: benthic isotopes

description: Data from IODP EXP. 390-393 SAT
DOI: 10.17632/7cxccpv4hg
title: Proper acquisition of cell class identity in organoids allows definition of fate specification programs of the human cerebral cortex. Uzquiano Kedaigle et al.

description: This is supplemental data related to the Cell manuscript "Proper acquisition of cell class identity in organoids allows definition of fate specification programs of the human cerebral cortex" by Ana Uzquiano & Amanda Kedaigle, et. al. For detailed descriptions of each dataset included here, please see the file "DataDescription.docx".
DOI: 10.6084/m9.figshare.12159924.v1
title: Data and code on serum Raman spectroscopy as an efficient primary screening of coronavirus disease in 2019 (COVID-19)

description: <b>Please note that there is no peer-reviewed publication associated with this data record.</b><br><br>This fileset consists of 13 data files, 1 code file and 2 ReadMe files.The dataset <b>data.mat</b> is in .mat file format and therefore not openly-accessible. The following datasets, are an openly-accessible version of the .mat file:<br><b>Fig2_1.txt</b> in .txt file format<b>Fig2_2.txt</b> in .txt file format<b>Fig2_3.txt</b> in .txt file format<b>Fig2_4.txt</b> in .txt file format<b>Fig2_5.txt </b>in .txt file format<b>Fig2_6.txt</b> in .txt file format<b>raw_COVID.txt</b> in .txt file format<b>raw_Helthy.txt</b> in .txt file format<b>raw_Suspected.txt</b> in .txt file format<b>raw_Tube.txt </b>in .txt file format<b>table2_data.txt </b>in .txt file format<b>wave_number.txt</b> in .txt file formatThe code file is the following: <b>code.m</b> in .m file formatThe two ReadMe files are the following: <b>readme.txt </b>in .txt file format and <b>readme.m</b> in .m file format.<br>Data in Fig2_1.txt, Fig2_2.txt, Fig2_3.txt, Fig2_4.txt, Fig2_5.txt and Fig2_6.txt were used to plot Figure 2 in the related manuscript.raw_COVID.txt contains the raw Raman spectroscopy data from the serum samples obtained from the 53 confirmed COVID-19 patients.raw_Helthy.txt contains the raw Raman spectroscopy data from the serum samples obtained from healthy individuals.raw_Suspected.txt contains the raw Raman spectroscopy data from the serum samples obtained from suspected cases (individuals suspected of COVID-19 infection)raw_Tube.txt contains the raw spectra data from cryopreservation tubes with saline solution inside.wave_number.txt contains data of the Raman Spectrum shift.table2_data.txt was used to generate Table 2 in the related manuscript.The code code.m was used for data processing.<br><b>Software needed to access data</b>: data.mat can only be accessed using the Matlab software. Running the code code.m also requires Matlab.<br><b>Study aims and methodology</b>: The recommended diagnosis method for the coronavirus disease (COVID-19 is a qPCR-based technique, however, it is a time consuming, expensive, and a sample dependent procedure with relative high false negative ratio. The aim of this study was to develop a widely available, cheap and quick method to diagnose COVID-19 disease based on Raman spectroscopy.A total of 157 serum samples were collected from 53 confirmed patients, 54 suspected cases (fever but not COVID-19) and 50 healthy controls. Raman spectroscopy was used to analyse these samples and the machine learning support vector machine (SVM) method were applied to the spectral dataset to build a diagnostic algorithm.<br>The experimental set up consisted of a Volume Phase Holographic (VPH) spectrograph, deep-cooled CCD camera, and a Raman probe and laser. A total of 2355 spectra from 157 individuals were imported to MATLAB (R2013a) software (Math-200 works, Inc.).For more details on the methodology, please read the related article.<br>
DOI: 10.6084/m9.figshare.21317835.v1
title: Bird species in Xuzhou

description: The dataset is comprised of field recordings of five bird species, consisting of 300 bird acoustic events.
DOI: 10.6084/m9.figshare.23734044.v2
title: Problem set and raw data for Fig4a

description: Problem set and raw data for Fig4a
DOI: 10.17632/446sbvc3mj
title: Data for: Anxiety or Pain? The Impact of Tariffs and Uncertainty on Chinese Firms in the Trade War

description: Please refer to the readme file.
DOI: 10.25442/hku.20438805.v1
title: Overseas Military Bases

description: Description This dataset contains both tabular and geospatial data of eight great powers' overseas military bases, including China, the United States, the United Kingdoms, Russia, Japan, India, the United Arab Emirates, and France up until November 2020. An interactive view of this dataset: Link Source All data were collected from multiple public sources and specified in each data point in the Excel file and Shapefile. For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.6084/m9.figshare.19345397.v1
title: Pan-cancer proteomic map of 949 human cell lines

description: The proteome provides unique insights into biology and disease beyond the genome and transcriptome. Lack of large proteomic datasets has restricted identification of new cancer biomarkers. Here, proteomes of 949 cancer cell lines across 28 tissue types were analyzed by mass spectrometry. Deploying a clinically-relevant workflow to quantify 8,498 proteins, these data capture evidence of cell type and post-transcriptional modifications. Integrating multi-omics, drug response and CRISPR-Cas9 gene essentiality screens with a deep learning-based pipeline revealed thousands of protein-specific biomarkers of cancer vulnerabilities. Proteomic data had highly similar power to predict drug response than the equivalent portion of the transcriptome. Further, random downsampling to only 1,500 proteins had limited impact on predictive power, consistent with protein networks being highly connected and co-regulated. This pan-cancer proteomic map (ProCan-DepMapSanger), available at https://cellmodelpassports.sanger.ac.uk, is a comprehensive resource revealing principles of protein regulation with important implications for future studies.
DOI: 10.6084/m9.figshare.28843286.v3
title: Adjustment of Provoked Urinary Metal Concentrations Using a Covariate-Guided Imputation and Residual Normalization Strategy

description: This dataset includes adjusted urinary metal concentration data from 276 adult patients who underwent Ca-EDTA/DMPS-provoked excretion testing as part of a diagnostic evaluation (CEMET protocol) between 2016 and 2019 at a clinical center in Pfäffikon SZ, Switzerland. The dataset contains raw and imputed metal concentrations, covariate-adjusted residuals, Yeo-Johnson transformed values, partial correlation matrices, PCA loadings, clustering assignments, and visual outputs. Metal measurements were performed by ICP-MS.All preprocessing and analysis steps are fully reproducible and documented:<br>• A detailed Python script is embedded in the final sheet of the Excel file.<br>• A structured methods summary is included in the accompanying README file (provided in both <code>.md</code> and <code>.pdf</code> formats).
DOI: 10.17632/4wfyg22srj
title: MTP as a promising tool to study diffusion - raw data

description: This is an example of the input files required to perform a typical MTP parametrization for Molybdenum.
DOI: 10.6084/m9.figshare.10381931.v1
title: Adakite-like potassic magmatism and crust-mantle interaction in a postcollisional setting: an experimental study of melting beneath the Tibetan Plateau

description: Data associated with the publication "Adakite-like potassic magmatism and crust-mantle interaction in a postcollisional setting: an experimental study of melting beneath the Tibetan Plateau".
DOI: 10.6084/m9.figshare.12758432.v3
title: JHF DG Building Your Influence paper

description: results from small survey undertaken with sample of attendees at EAUC leadership lab programme in January 2019 and January 2020 to determine valency to them of various leadership and sustainability decision-making models
DOI: 10.6084/m9.figshare.14956769.v1
title: Supplemental Digital Content 2 from Excessive adventitial stress drives inflammation-mediated fibrosis in hypertensive aortic remodelling in mice

description: Biomechanical Data
DOI: 10.6084/m9.figshare.23907624.v1
title: Datasets & Supplemental Information for "MIcromonosporaceae Biosynthetic Gene Cluster Diversity Highlights the Need for Broad Spectrum Investigation".

description: In this data collection is:<br><b>Data S1</b>: A folder with all the fasta files, representing the 42 strains (41 <i>Micromonosporaceae</i>, 1 <i>Streptomycetaceae</i>).<br><b>Data S2</b>: A folder with all the .gbk files for the BGC regions predicted by antiSMASH v5.1.1. These files were used as inputs for BiG-SCAPE and BiG-SLiCE.<br><b>Data S3</b>: A folder with all the .gbk files for the BGC regions predicted by antiSMASH v6.1.0.<br><b>Data S4</b>: A folder containing all the Quast outputs for the 42 strains.<br><b>Data S5</b>: A folder containing all the BUSCO outputs for the 42 strains. Example scripts are provided for scraping relevant information from the individual BUSCO outputs.<br><b>Data S6</b>: A folder containing GTDB (Genome Taxonomy Database) classification results, and species-level grouping results using FastANI (95% cutoff).<br><b>Data S7</b>: A folder containing an Interactive Tree of Life (iTOL)-compatible bar chart annotation using antiSMASH v5.1.1 BGC region information.<br><b>Data S8</b>: A folder containing a word document that describes the parameters used with Ubuntu WSL (Windows Subsystem for Linux) on the command line for programs antiSMASH v6.1.2, BiG-SCAPE v1.1.2, and BiG-SLiCE v1.1.1. Also included are parameters for MDSC in python. An example script is also provided for batch queries of BGCs against BiG-SLiCE v1.1.1’s pre-processed dataset of ~1.2 million BGCs.<br><b>Data S9</b>: A folder containing the BiG-SCAPE visualization of the 38 <i>Micromonosporaceae</i> (post-QC filtering, excluding WMMA1363, WMMB482, WMMB486, and WMMC500) in Cytoscape.<br><b>Data S10</b>: A folder containing:<br>The pre-processed dataset of 1.2 million BGCs from BiG-SLiCE.<br>All report folders generated by BiG-SLiCE for the 779 <i>Micromonosporaceae </i>BGCs queried against the 1.2 million BGCs.<br>The results data.db and associated folders for the pre-processed dataset of 1.2 million BGCs.<br><b>Data S11</b>: A folder containing the scripts necessary to regenerate the figures and perform independent analyses, and the relevant data used for the analyses.<br><b>Data S12: </b>A folder containing the results of the nucleotide blast of WMMA1947.region12's siderophore contig against WMMD1120.region14's siderophore contig.
DOI: 10.6084/m9.figshare.25558986.v1
title: grainspace rice p600 1/3

description: grainspace rice p600 1/3
DOI: 10.6084/m9.figshare.26792731.v1
title: Analyses in "The Biogeography of the Amazonian Tree Flora"

description: Analyses for the tree species turnover in Amazonia. It begins with the ordination of the plot-level community matrix (2,023 forest inventory plots (1 ha) that provide abundant data for 5,188 tree species) and the model for the influence of environmental and spatial gradients. It follows with the ordination of the gridded community matrix (47,441 0.1-degree grid cells that provide relative abundance data for 5,188 tree species). The resulting ordination of the gridded community matrix is mapped over Amazonia to detect zones of sharp tree species compositional turnover. Graphs for the species niche proprieties for selected environmental gradients are drawn to depict species positioning and compositional turnover along those gradients.