cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3555162.v1
title: Supplement 1. Artificial and real data sets, and R functions and scripts to perform canonical correspondence analysis using fuzzy-coded explanatory variables, with adjustment of the variance explained.

description: File List artificial.csv (md5: 2dcf93451985a5205c88df0f24dcc709) - abundance data for 300 samples on 5 species (A, B, C, D and E) and environmental data on 2 variables (X and Y). <br> BarentsFish.csv (md5: e61ef26ef9a7fec70f831535587a5966) - fish abundance data set ‘BarentsFish’, on 89 samples from the Barents Sea, along with longitude and latitude positions, depth and temperature<br> fuzzy.tri.R (md5: 0bf5013ae24752cd27ed48e585a53870) - R function fuzzy.tri for fuzzy coding into any number of categories using triangular membership functions<br> CCA.R (md5: c6b9a3207e7e3405545a673b5a536daa) - R function CCA for basic computations of a CCA<br> fuzzyscript.R (md5: 4ce442235d7d6e107ff498fc62cc1789) - R script illustrating several analyses from this report (see description below) Description The two data files used in the report are given in csv format. Two R functions are provided: (i) to fuzzy code continuous variables into a chosen number of fuzzy categories, or into categories based on user-defined hinge points: (ii) to compute a basic canonical correspondence analysis, using the singular-value decomposition, with output of the sample (row) principal coordinates and the variable (column) contribution coordinates, as well as parts of constrained and unconstrained inertia. This function is useful for computing the adjusted percentage of variance explained (see R script next). Finally an R script is provided illustrating the following analyses: (a) the computation of the adjusted <i>R</i><sup>2</sup> values in CCA by the permutation procedure proposed by Peres-Neto et al. (2006), (b) the conversion of continuous environmental variables (including spatial ones) into fuzzy-coded variables, and (c) plotting the results of the ‘BarentsFish’ analysis.<br> <br> Reference: Peres-Neto, P. R., P. Legendre, S. Dray, and D. Borcard. 2006. Partitioning of species data matrices: estimation and comparison of fractions. Ecology 87:2614–2625.
DOI: 10.6084/m9.figshare.13605833.v1
title: Differential expressed genes

description: analysis on RNA-seq of shCon/shKLF5/shYB-1 HCC1806 cells and HCC1937 cells
DOI: 10.6084/m9.figshare.27021199.v1
title: <b>Cracking the Code of Pet Insurance: What Really Drives Pet owners Intentions</b>

description: This study addresses a significant gap in awareness and understanding of pet insurance among pet owners, despite their strong emotional bonds with their pets. The research investigates the low uptake of pet insurance, which is often attributed to perceived high costs and limited coverage. Through random sampling of 411 pet owners across Malaysia, the study analyzes demand, preferences, and awareness of pet insurance.
DOI: 10.17632/t9prmbmdfn
title: Queenless honeybee acoustic patterns

description:  The data set consists of acoustic patterns of five Carniola honeybee colonies located in Zacatecas, Mexico. The colonies were monitored from March to May 2018.  The beehives analyzed were two healthy queenright colonies with a huge population, two healthy colonies with moderate populations, and a queenless colony with a low population. Two queens were removed from two colonies to create the queenless condition. The acoustic pattern of healthy colonies is presented in Folder 1, and the experiment of queens removed in Folder 2. The hypothesis is that the queenless state of a beehive can be identified by comparing the acoustic pattern with the pattern of a healthy colony by using machine learning techniques and feature extraction methodologies. The data is presented with no previous preprocessing step, in the analysis Mel frequency cepstral coefficients were used for feature extraction, and the classification was carried out by using support vector machines, neural networks, and logistic regression, all of them with high classification rate.  The data can be analyzed by using singular value decomposition or principal component analysis to understand the cluster, and how they change when the queens were removed from the colonies.
DOI: 10.6084/m9.figshare.1619669.v1
title: Impal Experiment - Data, Codebook, and Data Form

description: Data collected on perceptions of matrilateral cross-cousin (<em>impal</em>) marriage among the Karo people of North Sumatra, Indonesia, in 2014 as part of Geoff Kushnick's Fulbright Scholars research.
DOI: 10.6084/m9.figshare.24451834.v1
title: The ARRIVE guidelines 2.0: author checklist

description: PDF file of The ARRIVE guidelines for author checklist
DOI: 10.6084/m9.figshare.26340592.v1
title: Urban cooling inequality

description: Climate warming disproportionately impacts countries in the Global South by increasing extreme heat exposure. However, geographic disparities in adaptation capacity are unclear. Here, we assess global inequality in green infrastructure, which urban residents critically rely on to mitigate outdoor heat stress. We use remote sensing data to quantify daytime cooling by urban greenery in the warm seasons across the ~500 largest cities globally. We show a striking contrast, with Global South cities having ~70% of the cooling capacity of cities in the Global North (2.5±1.0°C vs. 3.6±1.7°C). A similar gap occurs for the cooling adaptation benefits received by an average resident in these cities (2.2±0.9°C vs. 3.4±1.7°C). This cooling adaptation inequality is due to discrepancies in green space quantity and quality between cities in the Global North and South, shaped by socioeconomic and natural factors. Our analyses further suggest a vast potential for enhancing cooling adaptation while reducing global inequality.
DOI: 10.6084/m9.figshare.28636313.v1
title: README.txt

description: This file contains README Text file
DOI: 10.6084/m9.figshare.29088083.v1
title: Psychosocial Predictors and Mental-Health Outcomes in UK Adults: A Two-Wave Longitudinal Survey (10–23 August 2024)

description: This dataset contains fully anonymised, two-wave survey data from <b>273 adult, native-English UK residents</b> recruited via the Prolific platform.<b>Time-frame and design:</b> Baseline measures were obtained between <b>10 and 16 August 2024</b> (Time 1). The same participants completed follow-up measures exactly one week later, between <b>17 and 23 August 2024</b> (Time 2). All 273 respondents took part in both waves, yielding a complete longitudinal panel.<b>Variables collected at Time 1 (baseline):</b>Demographics – age, gender, ethnicity, current employment status.Childhood trauma – total score and five sub-types.Psychosocial resources and vulnerabilities – perceived social support, perceived loneliness, social-network size, previous suicide-related history, subjective socioeconomic status, trait worry, and rumination.<b>Variables collected at Time 2 (one-week follow-up)</b><b>(reporting period: previous week)</b><b>:</b>Mental-health outcomes – depressive symptoms, anxiety symptoms.Defeat–entrapment outcomes – perceived defeat and entrapment.Stress-related outcomes – perceived stress and stress appraisal.Raw item scores and all derived scale totals are provided. A comprehensive codebook—covering variable names, abbreviations, response formats, and scoring procedures—appears in <b>Worksheet 2</b> of the file.The current datasets was approved by the Research Ethics Committee of the School of Psychology, University of Leeds (REC reference: PSCETHS-1110), and the main study hypotheses were preregistered at AsPredicted.org (#182080).
DOI: 10.6084/m9.figshare.29094317.v1
title: Table 2. "Employability Skills" Article Findings in 2021.xlsx

description: "Employability Skills" Article Findings in 2021
DOI: 10.6084/m9.figshare.5661610.v3
title: K-DPP datasets

description: The Kerala Diabetes Prevention Program is a cluster randomised controlled trial testing the effectiveness of a peer-support lifetsyle intervention program for the prevention of type 2 diabetes in India.
DOI: 10.17632/nmx3kw3tdf
title: Data for: A geodynamic model for the Paleoproterozoic (2.27-1.96 Ga) Birimian Orogen of the southern West African Craton – insights into an evolving accretionary-collisional orogenic system

description: Geochronological and geochemical data from the Birimian/Eburnean/Transamazonian Orogen in the West African Craton, São Luís Craton and Amazon Craton
DOI: 10.6084/m9.figshare.20500113.v2
title: Supplementary material for 'Paleogeographic evolution of Zealandia: mid-Cretaceous to present'

description: This document contains detailed descriptions of the data sources and reasoning behind the production of the paleogeographic maps in the paper ‘Paleogeographic evolution of Zealandia: mid-Cretaceous to present’ published in the New Zealand Journal of Geology and Geophysics (https://doi.org/10.1080/00288306.2022.2115520)
DOI: 10.6084/m9.figshare.26045722.v1
title: The genome of flame lily (<i>Gloriosa superba</i>)

description: G. superba genome sequence was 5.15 Gb in length (contig N50 size of 0.48 Mb; scaffold N50 size = 0.56 Gb) with 11 chromosomes (longest length = 0.93 Gb and average length = 0.47 Gb) .Based on ab initio and evidence-based predictions 54,617 (G. superba) protein-coding genes。
DOI: 10.6084/m9.figshare.26961892.v1
title: An in-air synthetic aperture sonar dataset of target scattering in environments of varying complexity

description: Scenes of targets and backgrounds collected with in-air synthetic aperture sonar
DOI: 10.17632/jrpsks2nzh
title: Effects of Radiation and High Glucose on Endothelial Dysfunction: an in vitro study

description: Endothelium is highly radiosensitive, multifunctional, and is the main component of the blood vessel wall. Both radiation and hyperglycaemia could cause endothelial dysfunction, which is the primary injury of radiation-induced and non-radiation-induced carotid atherosclerosis in post-radiotherapy (RT) head and neck carcinoma patients and diabetes patients, respectively. Commonly, some post-RT patients have diabetes simultaneously, leading them to suffer from the accumulative effects of radiation and hyperglycaemia. However, the underlying mechanisms of individual and combined effects of radiation and hyperglycaemia have not been revealed. Human umbilical vein endothelial cells (HUVECs) were used in the study to investigate the individual and combined effects of radiation and high glucose level on endothelial dysfunction in vitro, and possible signalling pathways involved. The cell viability, tube formation and protein levels, including nitric oxide synthesis (NOS), angiogenesis-related [focal adhesion kinase (FAK), vascular endothelial growth factors receptor (VEGFR)], and apoptosis (caspase-3)-related proteins at high/low glucose level combined with 0/8 Gy of radiation were being evaluated.
Our findings suggested that radiation suppressed endothelial cell viability (p&lt;0.001), and the combined effects of radiation and high glucose-induced higher angiogenesis of endothelial cells. eNOS-mediated and FAK-mediated signalling transductions are the possible signalling pathways involved in radiation- and hyperglycaemia-induced endothelial dysfunction.
DOI: 10.17632/mykkpy9cg6
title: Data from: Undergraduate students' motivation to learn and attitudes towards English in multilingual Pakistan: A look at shifts in English as a world language (System)

description: We investigated undergraduate students' motivation to learn English in Pakistan using Dörnyei’s (2009) L2 Motivational Self System as the theoretical framework. We additionally investigated the attitudes of the participants, and how they felt about the status of English as the official language of Pakistan and as the medium of competitive examinations. The data are from 229 undergraduate university students at three public universities in the capital of Balochistan province of Pakistan. The data are from paper-based questionnaires. The Codebook has the list of the variables. The data are in the CSV file. A copy of the data in a SPSS (.sav) file is provided as well. Appendices A through D are referred to in the article in System.
DOI: 10.17632/xfj44jnnt7
title: PyroLab and AutoGator Optical Probe Station

description: The expanding field of silicon photonics has demanded the use of highly precise and expensive equipment to characterize and test fabricated research devices. The cost of commercially available systems may be prohibitively expensive under the constraints of many research or academic settings. While homegrown solutions exist, the required, resource-hungry hardware can overwhelm lower-spec computers. Additionally, hardware resources shared between experimental setups sometimes requires the use of multiple computers to probe a chip effectively. Making matters worse, proprietary SDKs are often poorly documented, making the supporting code time consuming to write and difficult to maintain and port between projects. Researchers in this field have been forced to either deal with the inconvenience of an incohesive system or pay for an all-in-one package, offered by some companies, at significant cost and inflexibility. In this paper we present and demonstrate an open-source hardware and software solution for a photonic probe station with device drivers distributed across a network and aggregated by individual clients. We present two Python packages, PyroLab and AutoGator, that enable end users to remotely access probe stations and their respective hardware to organize and run automated tests on photonic chips. The open-source software and hardware combine to give silicon photonic researchers a relatively inexpensive way of probing photonic circuit elements in a controlled and systematic way. This repository contains hardware designs and recommendations for assembling and controlling a photonic integrated circuit (PIC) test station using PyroLab and AutoGator. It also contains a detailed bill of materials with links to commercial products.
DOI: 10.6084/m9.figshare.1477882.v2
title: Interaction potentials, spectroscopy and transport properties of C<sup>+</sup>(<sup>2</sup><i>P<sub>J</sub></i>) and C<sup>+</sup>(<sup>4</sup><i>P<sub>J</sub></i>) with helium

description: We calculate accurate interatomic potentials for the interaction of a singly charged carbon cation with a helium atom. We employ the RCCSD(T) method, and basis sets of quadruple-ζ and quintuple-ζ quality; each point is counterpoise corrected and extrapolated to the basis set limit. We consider the two lowest C<sup>+</sup>(<sup>2</sup><i>P</i>) and C<sup>+</sup>(<sup>4</sup><i>P</i>) electronic states of the carbon cation, and calculate the interatomic potentials for the terms that arise from these: <sup>2</sup>Π and <sup>2</sup>Σ<sup>+</sup>, and <sup>4</sup>Π and <sup>4</sup>Σ<sup>−</sup>, respectively. We additionally calculate the interatomic potentials for the respective spin–orbit levels, and examine the effect on the spectroscopic parameters. Finally, we employ each set of potentials to calculate transport coefficients, and compare these to the available data. Critical comments are made in the cases where there are discrepancies between the calculated values and measured data.
DOI: 10.6084/m9.figshare.22822844.v2
title: Felis_catus

description: Gene, transcript, and intron level classification, by species
DOI: 10.6084/m9.figshare.26299045.v3
title: BPOC data August 2023 Clinical data unstructured

description: The study assessed the outcome of BPOC intervention on dental caries status, knowledge and behaviuors related to caries among adolescents
DOI: 10.6084/m9.figshare.26304973.v1
title: Dataset for "Broadband THz wave generation and detection in organic crystal PNPA at MHz repetition rates"

description: Dataset used for generating figures in the manuscript "Broadband THz wave generation and detection in organic crystal PNPA at MHz repetition rates" by L. A. Sterczewski, J. Mnich, and J. Sotor.Author of the dataset: Lukasz A. Sterczewski<br>e-mail: lukasz.sterczewski@pwr.edu.pl<br>Date: 2024/07/15License: Creative Commons Attribution 4.0 License L. A. Sterczewski and J. Mnich acknowledge funding from the European Union (ERC Starting Grant, TeraERC, 101117433). Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them. This work is supported by the use of National Laboratory for Photonics and Quantum Technologies (NPLQT) infrastructure, which is financed by the European Funds under the Smart Growth Operational Programme.Please check sub-directories for more specific information.
DOI: 10.6084/m9.figshare.27782085.v1
title: Astro-QA

description: This folder was created for Astro-QA, in which the two sub-folders, `EN' and `ZH', include the English and Chinese versions of the questions, respectively. Then, the questions are organized by types in <i>.xlsx</i> format. For each question file, there are several key headers: `NO.' is the unique identifier of each question; `question' denotes the body of the evaluation question; `answer' provides the standard (reference) answer to the question.
DOI: 10.6084/m9.figshare.28468565.v1
title: Broad-spectrum capture of hundreds of per- and polyfluoroalkyl substaces from fluorochemical wastewater

description: Source data for the manuscript of Broad-spectrum capture of hundreds of per- and polyfluoroalkyl substaces from fluorochemical wastewater.
DOI: 10.6084/m9.figshare.9912788.v4
title: CLIMIFUN Prokaryotes

description: 16s Miseq originally published in https://www.pnas.org/doi/10.1073/pnas.1818400116
DOI: 10.17632/3gsbkm8p8r
title: SubRide: Subjectivity Detection in Ride-Hailing App Reviews

description: This dataset contains 1338 user reviews from ride-hailing applications, including Gojek, Grab, and Maxim, collected from the Google Play Store between November 2024 and March 2025. The reviews are manually labeled by 2 human annotators and annotated based on predefined labeling criteria, with each review classified as either Subjective (1) or Objective (0). All reviews have undergone basic preprocessing, including the removal of emojis and URLs. Here, we include dataset for annotator individuall classification and the final one from after discussion

The primary goal of this dataset is to support research in subjectivity detection, with potential applications in natural language processing (NLP) and machine learning, particularly in the context of transportation-related services. This dataset can be used to train and evaluate classification models, analyze user feedback trends, and explore how subjectivity influences user-generated content.
DOI: 10.17632/5y43rjdmxd
title: Geometric multigrid method for solving Poisson's equation on octree grids with irregular boundaries

description: A method is presented to include irregular domain boundaries in a geometric multigrid solver. Dirichlet boundary conditions can be imposed on an irregular boundary defined by a level set function. Our implementation employs quadtree/octree grids with adaptive refinement, a cell-centered discretization and pointwise smoothing. Boundary locations are determined at a subgrid resolution by performing line searches. For grid blocks near the interface, custom operator stencils are stored that take the interface into account. For grid block away from boundaries, a standard second-order accurate discretization is used. The convergence properties, robustness and computational cost of the method are illustrated with several test cases.
DOI: 10.17632/yykn6sc2z6
title: 3D LiDAR and Photogrammetry Scans of a Stilt House in Tai O Village - 2022 - Case 069817

description: This data includes a point cloud file from a combined photogrammetric and LiDAR scan of a stilt house in Tai O Village. The house is designated "Case 069817" in the research project record. Researchers collected the scan using a single, approximately 10 minute walk-through of the house with the Leica-brand BLK2Go model 3D environment scanner. The scan describes the interior and partial exterior of a stilt house in high detail and color. The scan has been decimated to a voxel size of 5 mm to reduce file size. The data provides clear enough rendering of the physical conditions of the house to allow interpretation of the scan into description of the house's construction, contents, and spatial use. The data is available under embargo of one year to protect the personal information of residents of the house, provided for purposes of digital conservation of the building, and for interpretation of the house's physical conditions and interior contents through further research. More detailed information on the dataset, including the date the scan was conducted, the location of the house, and related interview and survey datasets are available upon reviewed request.
DOI: 10.6084/m9.figshare.24187635.v6
title: Diamond Cholla Open Dataset July 2023

description: Diamond cholla camera trap and survey datasets for July 2023 field season in the Mojave desert.Abstract: A case study of plant-animal interactions with<i> </i><i>Cylindropuntia ramosissima</i> in the Mojave desert, California to identify its visitor guild and factors that influence visitation and flowering. Camera trap deployments were paired with visual observations for a total of n=40. Cacti height negatively correlated with vertebrate visitation at the camera trapped site. Evidence of potential competition between pollinator species was observed. Height, branching number, and density correlated positively with flowering number at survey sites.Updated dataset: January 02 2024
DOI: 10.15468/dl.y96238
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagamichthys schnakenbecki (Krefft, 1953)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((1.2219 37.0382,-0.0352 36.4794,-0.0352 28.8496,8.9648 28.8496,8.9648 37.5879,8.4538 37.4177,7.4601 37.5841,6.845 37.4576,6.4593 37.5936,5.3421 37.2141,4.9133 37.3804,3.8874 37.4256,1.2219 37.0382))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013121-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.28017476.v1
title: Supplementary data3 : All characterized CAZy proteins (retrieved November 2024) - ez-CAZy_V2a.faa

description: Supplementary data3 : All characterized CAZy proteins (retrieved November 2024) - ez-CAZy_V2a.faa
DOI: 10.6084/m9.figshare.27135444.v1
title: Many Objective Neuroevolution for Testing Games

description: Generating tests for games is challenging due to the high degree of randomisation inherent to games and hard-to-reach program states that require sophisticated gameplay. The test generator NEATEST tackles these challenges by combining search-based software testing principles with neuroevolution to optimise neural networks that serve as test cases. However, since NEATEST is designed as a single-objective algorithm, it may require a long time to cover fairly simple program states or may even get stuck trying to reach unreachable program states. In order to resolve these shortcomings of NEATEST, this work aims to transform the algorithm into a many-objective search algorithm that targets several program states simultaneously. To this end, we combine the neuroevolution algorithm NEATEST with the two established search-based software testing algorithms, MIO and MOSA. Moreover, we adapt the existing many-objective neuroevolution algorithm NEWS/D to serve as a test generator. Our experiments on a dataset of 20 SCRATCH programs show that extending NEATEST to target several objectives simultaneously increases the average branch coverage from 75.88% to 81.33% while reducing the required search time by 93.28%.
DOI: 10.6084/m9.figshare.29132612.v1
title: Training Images - RTS and SCI

description: Object images