cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gy587m7gx7
title: Dataset of contact parameters and hysteresis loops from a round robin test for nonlinear dynamic analysis

description: This dataset is described in the data article [1] and presents friction hysteresis loops and contact parameters measured during the round robin test of the original research article [2]. Friction forces and tangential relative displacements for each specimen pair are stored as hysteresis raw data. Each hysteresis loop was post-processed to extract friction coefficient, tangential contact stiffness and energy dissipated, whose evolution with wear was thus obtained and stored as well. Matlab codes for post-processing and plotting data are included too.
The dataset can be used by researchers as a benchmark to validate theoretical models or numerical simulations of friction hysteresis models and wear mechanisms, and also to study the physics of friction hysteresis and its contact parameters. This high-frequency friction data can also be used as input in models for nonlinear dynamics applications as well as to provide information on the contact measurement uncertainty under high-frequency reciprocating motion. This data can also be used as a training set for machine learning applications or data-driven models, as well as supporting grant applications.

References
[1] Fantetti A., Botto D., Schwingshackl C., Zucca S., Experimental dataset from a round robin test of contact parameters and hysteresis loops for nonlinear dynamic analysis, Data in Brief, 2024, submitted.
[2] Fantetti A., Botto D., Zucca S., Schwingshackl C., Guidelines to use input contact parameters for nonlinear dynamic analysis of jointed structures: Results of a round robin test, Tribology International, 2023. https://doi.org/10.1016/j.triboint.2023.109158
DOI: 10.6084/m9.figshare.26402827.v1
title: Data Tabulation and SmartPLS Output

description: Indonesia has been seen as a highly promising growth market for entertainment on a global scale, yet research on virtual reality (VR) in Indonesian amusement parks remains scarce. This study investigates the impact of VR exposure on visitor behavior, focusing on psychological aspects including telepresence, flow, and enjoyment, and their influence on revisit intentions towards VR ride simulators. A survey employing purposive sampling yielded 138 usable responses. Data analysis utilized Partial Least Squares (PLS) to examine relationships between telepresence, flow, enjoyment, attitudes toward VR ride simulators, and revisit intentions.
DOI: 10.6084/m9.figshare.19714294.v3
title: Figure 2d

description: stress-strain records
DOI: 10.6084/m9.figshare.27297354.v1
title: CdSe experimental data for manuscript "Atomic-Level Insights into the Nanocluster to Quantum Dot Transition of CdSe from DNP-NMR".

description: Achieving control over quantum dot (QD) size is essential for their performance but remains difficult due to the limited atomic-level understanding of QD growth. Using signal-enhanced solid-state NMR (SSNMR), we examined structural features of intermediate CdSe clusters and mature QDs. The intermediates, with four distinct site types, pose a challenge in determining ligand distribution across their surface. By combining quantum computation and experimental data, we assigned NMR peaks to specific Cd binding environments and developed models showing that hydrogen bonding and steric clashes drive ligand arrangement. <sup>113</sup>Cd NMR provided insights into local Cd environments, offering a framework for monitoring structural transitions and improving size control during QD growth.
DOI: 10.6084/m9.figshare.28344539.v1
title: <b>DigitalSEE(</b><b>Digital South-Eastern Europe</b><b>): TEI Collection</b>

description: This collection houses the <b>DigitalSEE TEI-Transformed XML files,</b> a set of digitally encoded texts based on the <b>DigitalSEE</b> project. The texts have been encoded using the <b>TEI </b>(Text Encoding Initiative) standards to ensure long-term preservation and accessibility.The collection comprises multiple TEI-encoded works that are part of a broader effort to document and preserve historical texts and artifacts related to key monuments, such as <i>Trajan’s Gate</i> in modern-day Bulgaria.Collection Overview<i>This collection includes</i>:<b>TEI-encoded texts:</b> Documents that capture historical descriptions, observations, and archaeological details.<b>Metadata and contextual information</b>: Supplementary details for each document in the collection.How to Use This Collection<br>1. <b>Download or Clone</b>: Download the <b>zip file</b> to access the collection, or clone the linked <b>GitHub</b> repository by following the instructions in the README file.2. <b>Explore the Files</b>: Each TEI file in the <b>collection/</b> folder represents a different part of the dataset.3. <b>Integrate into Your Wor</b>k: Use the TEI files in your research or analysis projects related to digital humanities, archaeology, or historical documentation, and be sure to cite the collection appropriately.
DOI: 10.6084/m9.figshare.29067551.v1
title: Raw data

description: Raw data to article
DOI: 10.6084/m9.figshare.6215552.v1
title: Mask-modulated lensless imaging with multi-angle illuminations

description: Support materials for the paper: Mask-modulated lensless imaging with multi-angle illuminations.
DOI: 10.17632/kg5dcdt9b6
title: Data for: Does deep learning help topic extraction? A kernel k-means clustering method with word embedding

description: The 4770 dataset includes 4770 articles in the Web of Science database, covering 10 disciplines, such as artificial intelligence, business, history, and chemistry. The 577 dataset includes 577 proposals granted by the National Science Foundation of the United States, and all the 577 proposals are within the area of computer science but are in different sub areas of computer science. The 6767 dataset includes 6767 articles published in Journal of the Association for Information Science and Technology, Journal of Informetrics, and Scientometrics from 2000 to 2016. No labels are given for this dataset.
DOI: 10.6084/m9.figshare.13366310.v1
title: Dataset for the article "Body stoichiometry of heterotrophs: assessing drivers of interspecific variations in elemental composition"

description: Dataset of stoichiometric traits of heterotrophs<br>
DOI: 10.6084/m9.figshare.13546637.v1
title: Baseline Dataset

description: <b>Overview</b><br>This is a set of overhead images of wind turbines with corresponding YOLOv3 formatted labels for object detection. These labels contain the class, x and y coordinates and the height and width of the bounding boxes for each wind turbine in the corresponding image.<br><b>Why</b><br>Deep learning can help with the analysis of energy infrastructure. Extending this work to more types of energy infrastructure can create a pipeline for in-depth energy infrastructure analysis that could provide information for energy access decision makers to choose how to provide electricity to a non-electrified region (through grid extension, micro-grids or localized power generation). <br><br><b>Method</b>The majority of the images were taken from https://figshare.com/articles/Power_Plant_Satellite_Imagery_Dataset/5307364. These images were then hand labeled and converted into formatted labels, which are also contained in original_images_and_labels. This data was then preprocessed into smaller images with dimensions of 608x608 and their corresponding labels with the same YOLOv3 format of class, x, y, height, width. These values (except for class value) have relative values from 0-1 that are proportional to the size of the images. These smaller images and labels are what are contained in the dataset. These images have resolutions varying from 0.6-1m.<br>Additional images were collected through the NAIP imagery available on Earth OnDemand and then hand-labeled.<br>
DOI: 10.6084/m9.figshare.19425506.v1
title: RELISH-Aspire

description: This is a copy of the RELISH dataset used in the paper "Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity" by Sheshera Mysore, Arman Cohan, Tom Hope. The RELISH dataset was first introduced in Brown et al. 2019. <br><br>See further details of the paper, how this dataset was compiled, and how it was used: https://github.com/allenai/aspire<br>The contents of the dataset are as follows: <br><code>abstracts-relish.jsonl</code>: <code>jsonl</code> file containing the paper-id, abstracts, and titles for the queries and candidates which are part of the dataset.<br> <code>relish-queries-release.csv</code>: Metadata associated with every query.<code>test-pid2anns-relish.json</code>: JSON file with the query paper-id, candidate paper-ids for every query paper in the dataset. Use these files in conjunction with <code>abstracts-relish.jsonl</code> to generate files for use in model evaluation. <br><code>relish-evaluation_splits.json</code>: Paper-ids for the splits to use in reporting evaluation numbers. <code>aspire/src/evaluation/ranking_eval.py</code> included in the github repo accompanying this dataset implements the evaluation protocol and computes evaluation metrics. Please see the paper for descriptions of the experimental protocol we recommend to report evaluation metrics.<br>
DOI: 10.6084/m9.figshare.19714255.v3
title: Figure 2a

description: strain-time plots
DOI: 10.6084/m9.figshare.22682869.v1
title: Data from paper: "Land-use change in the past 40 years explains shifts in arthropod community traits"

description: Community weighted means and community means of four important traits of carabid and spider arthropods in Switzerland. These datasets were analyzed to support the findings in the paper "Land-use change in the past 40 years explains shifts in arthropod community traits". Please, read the ReadMe file and the Materials and Methods in the paper for more details about the variables used.
DOI: 10.6084/m9.figshare.24312274.v1
title: Insights into Drug Cardiotoxicity from Biological and Chemical Data: The First Public Classifiers for FDA DICTrank

description: Drug-induced cardiotoxicity (DICT) is a major concern in drug development, accounting for 10-14% of postmarket withdrawals. In this repository, we released curated datasets of the various chemical and biological data to predict cardiotoxicity, using the recently released Drug-Induced Cardiotoxicity Rank (DICTrank) dataset from the United States FDA. We released a diverse set of data sources, including physicochemical properties, annotated mechanisms of action (MOA), Cell Painting, Gene Expression, and more, to identify indications of cardiotoxicity.. With the availability of -omics data in the future, using biological data promises enhanced predictability and delivers deeper mechanistic insights, paving the way for safer therapeutic drug development. For more details see https://broad.io/DICTrank_Predictor<br>
DOI: 10.17632/shny5k9f4b
title: A Comprehensive Dataset of Complete Kurdish Handwritten Characters and Digits

description: The Kurdish language is written using two different styles of writing. Currently, it is written in Latin in Turkey and Syria, and Arabic in Iraq and Iran. Our dataset solely looks at Sorani (Central Kurdish) and mostly written with 34 characters and distributed over 4 different forms using a modified Arabic script. Since the Sorani script is written in a cursive way, the shape of each letter changes depending on its position within a word whether isolated, initial, medial, or final. Hopefully, our dataset has all the character forms.
This work introduces two comprehensive datasets: one encompassing the full set of Kurdish characters in the Central Kurdish script and another dedicated to handwritten digits. To collect handwritten samples systematically, each character set was printed on A4 sheets arranged in a grid of 12 × 14 cells, for each letter and digit, 84 copies of the sets have been prepared, guaranteeing a comprehensive and varied set of data and providing clear instructions for volunteers. Once the sheets were filled out, they underwent a thorough review to ensure accuracy. The forms were then scanned using high-quality equipment to capture the handwriting details effectively. Following the scanning process, Python programming was employed to segment, extract, and resize each character for further analysis. A total of 123,984 samples were collected, primarily from volunteer students and staff from various universities in Erbil, contributing to the diversity of the dataset.
The dataset includes handwritten images of Central Kurdish characters in their isolated, initial, medial, and final forms, along with digits from 0 to 9. Each character and digit have 1,008 samples. During the processing phase, every letter or digit was cropped into a separate image and saved in a dedicated folder, with each image assigned a unique ID. All images across the dataset were standardized in size.
Assigning Labels and Arrangements
The labeling process involved assigning three numbers to each image, separated by underscores. The first number represents the letter’s ID based on its alphabetical order. The second number corresponds to the form set, with 84 sets representing different groups of writers. The third number indicates the character’s or digit’s position in the form, ranging from 1 to 12, following a left-to-right order. For example, an image labeled "37_13_5.jpg" signifies that the character is the initial form of Pe (پـ), and the image occupies the fifth position in the form. Each letter was stored in a corresponding folder with 1,008 images for that specific letter or digit.
DOI: 10.17632/tjx2nbm2x8
title: Mitochondrial fumarate inhibits Parkin-mediated mitophagy. Su Jin Ham et al.

description: Here, we explore the potential involvement of fumarate, a metabolite generated from the citric acid cycle, as a key regulator of PINK1-Parkin-mediated mitophagy. Fumarate engages in a process called succination, forming S-(2-succino) cysteine through a Michael-like reaction with protein cysteine residues in the cell. Our research demonstrates that this modification specifically targets the sulfhydryl group of cysteine 323 and 451 residues of human Parkin, leading to the inhibition of its mitochondrial localization and E3 ligase activity, thereby impeding PINK1-Parkin-mediated mitophagy. Notably, our investigation reveals that the succinatable cysteines in human Parkin are not conserved in invertebrates, including Drosophila. To assess the functional impact of Parkin succination, we generated Parkin knock-in flies with succinatable cysteines. These flies exhibited robust Parkinson's disease (PD)-related phenotypes when exposed to elevated fumarate levels. Collectively, our findings underscore the significance of fumarate as an endogenous regulator of PINK1-Parkin-mediated mitophagy, offering insights into the intricate interplay between mitochondrial metabolic activities and PD pathology.
DOI: 10.6084/m9.figshare.13108430.v1
title: Inner Mongolian grassland aboveground biomass measurements

description: A dataset including Inner Mongolian grassland aboveground biomass observations, measured mainly during 1981-2015.
DOI: 10.6084/m9.figshare.20146847.v2
title: Ab initio Green-Kubo simulations of thermal transport in solids: Method and implementation

description: Figures, data, and scripts for the publication "Ab initio Green-Kubo simulations of thermal transport in solids: Method and<br> implementation"
DOI: 10.6084/m9.figshare.20768143.v2
title: pollen_2019.csv

description: Dataset to test the differences between dry weight (mg) of total pollen quantity per staminate flowers of wild and domesticated cucurbit plants. <em>Cucurbita </em>sp. are listed as sororia (wild), argyrosperma (domesticated), moschata (domesticated). One to two staminate flowers from each plant was designated for pollen collection. Anthers were cut at the base and stored in glass vials left to dry in hermetic containers with silica beads. We performed generalized linear mixed models (lme4 function ‘glmer’, Bates 2010) followed by a post hoc Tukey test (emmeans function ‘emmeans’, Lenth 2021). Pollen dry weight was log10 transformed to obtain normality. We used pollen dry weight as the response variable and cucurbit species as the predictive variable. Plant ID was used as a random variable which was nested within a field site to control for site level variation.
DOI: 10.6084/m9.figshare.22219234.v1
title: Technology use in elementary schools: UTAUT between suburban and urban teachers

description: Data for Technology use in elementary schools: UTAUT between suburban and urban teachers
DOI: 10.6084/m9.figshare.27058834.v1
title: Source Data_Noninvasive in vivo photoacoustic detection of malaria with Cytophone in Cameroon

description: Source data for article <i>Noninvasive </i><i>in vivo </i><i>photoacoustic detection of malaria with Cytophone in Cameroon</i>.
DOI: 10.6084/m9.figshare.29049170.v2
title: Experimental Study on Sediment Incipient Motion Characteristics in the Yangtze River Source Region

description: The experiments were conducted in a recirculating open-channel flume system at the Key Laboratory of River-Lake Regulation and Flood Control in the Middle and Lower Reaches of the Yangtze River, Ministry of Water Resources.. The tilting flume is 12m long, 0.35 m wide, and 0.5 m deep, with an adjustable slope.
DOI: 10.6084/m9.figshare.648505.v1
title: CIL:1696

description: The purpose of the dataset C. elegans terminal bulb aging is to deduce the age of the nemathode based on images of the pharynx terminal bulb (part of the eating apparatus). Images of C. elegans were taken at different chronological ages. This image is part of the day 2 data set. Note that the morphological and chronological ages are not fully correlated due to the variability among individuals even though the individuals are genetically identical. The source for the dataset is Laboratory of Genetics/NIA/NIH.
DOI: 10.11583/dtu.28106633.v1
title: Data for: <b>"</b><b>Fluorescence spectroscopy as an indicator tool for pharmaceutical contamination in groundwater and surface water</b>"

description: PREFACE:These data are discussed in the publication entitled "<b>Fluorescence spectroscopy as an indicator tool for pharmaceutical contamination in groundwater and surface water</b>" published by Vinther et al. in Chemosphere (DOI: 10.1016/j.chemosphere.2024.144009).<b>a_eems.zip: Processed fluorescence data</b><br>1. Fluorescence data were measured on a Horiba AquaLog<br>- Fluorescence was measured as signal/reference beam.<br>- Internal excitation- and emission-correction factors were applied<br>- Blanks (ultrapure water) with identical instrument settings were subtracted.2. Inner filter effects were eliminated with the absorbance-based method3. Fluorescence signals were normalized using the Raman peak area of ultrapure water at 350nm.4. Scatter (Raman and Rayleigh was removed)5. Fluorescence emission wavelengths were restricted to relevant ranges.<br><br><b>About the data</b><br>1. Each *.csv file contains the wavelength information in nm as column and row headers (columns=excitation, row=emission) and the fluorescence observations processed as described above.<br>2. Each file is named with its sample identifier.<br><br><b>b_metadata.ods: Sample sensor readings and measured contaminant concentrations</b>This file contains relevant metadata about the samples. This includes sensor fluorescence (measured as discussed in the pulication) and contaminant concentrations (as outlined in the publication).<br><br>
DOI: 10.17632/xw6gr8p2cn
title: Rural Home Annotation Dataset Mapped by Citizen Scientists in Satellite Imagery

description: A geolocated dataset of rural home annotations made on satellite imagery from Uganda, Kenya, and Sierra Leone. This dataset was produced through a citizen science project called Power to the People (https://www.zooniverse.org/projects/alycialeonard/power-to-the-people), which mapped rural homes for electrical infrastructure planning and computer-vision-based mapping research. 578,010 home annotations were made over 179 days by over 6,000 volunteers. Bounding-box annotations have anonymized and georeferenced. These raw annotations were found to have a precision of 49% and recall of 93% compared to a researcher-generated set of gold standard annotations. Data on roof colour and shape were also collected and are provided. Metadata about the sensors used to capture the original images and the annotation process are also attached. Links to original satellite image tiles used in annotation are also provided. While this dataset was collected for electrical infrastructure planning research, it can be useful in diverse sectors, including humanitarian assistance and public health.

Usage notes:
In the subjects dataset, data are provided on the count of responses to questions labelled T0 and T2. Question T0 is the first question in the annotation process, where contributors indicate whether they see any homes in the image ("Yes" or "No") while T2 was asked after contributors labelled homes to confirm whether they labelled them all ("Yes" or "There were too many to label them all"). A "None" count is also provided for those who did not answer these questions. In the annotations dataset, roof colour and roof shape are encoded as follows: roof_color 0 = white or light-coloured, 1 = brown, 2 = other; roof_shape 0 = square or rectangular, 1 = circular or rounded, 2 = other. Georeferencing information is provided in the original referencing system of the annotated satellite images, which are WGS 84 in the UTM zone appropriate to the location in question (accessible in subject metadata).

Publications using this data are forthcoming; DOIs will be added here once published.
DOI: 10.17632/znrvm6cmb9
title: UV Vis Reflectance of Pigments present in the Algal Samples

description: Algal samples were collected from a simulated rice paddy field. Samples were subjected to UV Vis Reflectance reading using Shimadzu UV 2600. The reflectance shows that chlorophyll a, chlorophyll b, phycoerythrin, and phycocyanin are the pigments present in the algal samples.
DOI: 10.6084/m9.figshare.10298696.v3
title: MIX-seq data

description: Data accompanying the manuscript describing MIX-Seq, a method for transcriptional profiling of mixtures of cancer cell lines treated with small molecule and genetic perturbations (McFarland and Paolella et al., Nat Commun, 2020). <br>Data consists of single-cell RNA-sequencing (UMI count matrices), and associated drug sensitivity and genomic features of the cancer cell lines.<br>See README file for more information on dataset contents.
DOI: 10.6084/m9.figshare.14403686.v1
title: Male–male interactions select for conspicuous male coloration in damselflies

description: Male ornamentation, such as conspicuous male coloration, can evolve through female mate choice. Alternatively, in species without overt female mate preference, conspicuous male coloration can evolve as a badge of status via intrasexual selection to avoid costly fights or prevent mating attempts with other males. Here, we investigated the drivers of conspicuous male coloration in an ontogenetic colour-changing damselfly, <i>Xanthagrion erythroneurum, </i>where the juvenile males are yellow and change colour to red upon sexual maturity. We first showed that red males were chromatically and achromatically more conspicuous than the yellow males. We then quantified the condition of the males: red males were larger and in better condition than yellow males. We tested female preference in a choice experiment where we artificially manipulated male colour and found that females did not choose mates based on male coloration. We further tested whether the male coloration affected male–male interactions. We presented red and yellow males at the breeding site and measured behavioural responses from conspecific males and heterospecific (<i>Ischnura heterosticta</i>)<i></i>males. Red males received less aggression from conspecifics and heterospecifics than yellow males. Our study experimentally showed that male conspicuousness is not a target of female mate choice in damselflies. Instead, intra- and interspecific male–male interactions appear to be the driver of its evolution.