cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26963512.v1
title: The Dataset and Code: Navigating the biogeography of wide-spread short-forests in global drylands.zip

description: We utilized global remote sensing data on canopy height in dryland forests and applied clustering methods to distinguish between short and tall forests. Our study identified the widespread distribution and key determinants of short-forests across global drylands, and projected their future distribution under various SSP scenarios. The results collectively underscore the extensive presence of short-forests and their likely expansion under future climate conditions, highlighting the critical challenges dryland forest ecosystems face in terms of carbon sequestration under a changing climate.The dataset and code contain the following:Identification of short-forests and tall-forestsDistribution thresholds for dryland short-forestsDistribution thresholds for dryland short-forestsAssessing the impact of current forest canopy height
DOI: 10.17632/mvyd3bgjv7
title: Raw data of the antisaccade task in patients with obsessive-compulsive disorder (EEG, eyetracking, vegetatics)

description: The eyetracking dataset consists of raw eyetracking data (EYE1_OCD) recorded in 32 OCD (obsessive-compulsive disorder) participants, preprocessing and analyses of eyetracking data (code_grant)*, detailed information of preprocessing and analyses (Methods_OCD), general information with descriptive table with age, scores of Y-BOCS, STAI-test, Beck test and Barrat test and sheet with subtypes of OCD (General_info_OCD). The EEG and vegetatics data dataset consists of raw data recorded in 31 OCD participants (EEG_vegetatics_OCD.rar).

* The R-script for reprocessing and analyses of eyetracking data (code_grant.R) both for the control group and for the group with patients with obsessive-compulsive disorder (OCD). The data for the control group can be found here: Khayrullina, Guzal; Liaukovich, Krystsina; Portnova, Galina; Martynova, Olga (2024), “Raw data of the antisaccade task in healthy volunteers (EEG, eyetracking, vegetatics)”, Mendeley Data, V1, doi: 10.17632/h8xrwrmttj.1
DOI: 10.6084/m9.figshare.22192963.v2
title: Driving behaviour multimodal human factors eye tracking dataset

description: Driving behaviour multimodal human factors eye tracking dataset.
DOI: 10.17632/74vk64r3rb
title: Meta-Cognitive Problem-Solving Prompts

description: Meta-Cognitive Problem-Solving-Prompts on
fifteen-puzzle problem
knights-tour problem
light-toggling-grid problem
mutilated-chessboard problem
unsolvable-sudoku problem

Using
ChatGPT 4.o
Claude 3.7 sonnet
DeepSeek v3
Gimini 2.0 Flash
Grok 3
Kimi 1.5
Qwen 2.5 Max
Mistral
DOI: 10.6084/m9.figshare.12073065.v2
title: Data dan R Notebook untuk <i>Linguistik Korpus Kuantitatif dan Kajian Semantik Leksikal Sinonim Emosi Bahasa Indonesia</i>

description: Repositori data dan R Notebook untuk makalah "Linguistik Korpus Kuantitatif dan Kajian Semantik Leksikal Sinonim Emosi Bahasa Indonesia" (Rajeg, 2020):Rajeg, Gede Primahadi Wijaya (2020): Linguistik Korpus Kuantitatif dan Kajian Semantik Leksikal Sinonim Emosi Bahasa Indonesia. figshare. Preprint. https://doi.org/10.6084/m9.figshare.12012369Data dan R Notebook ini berlisensi <i>Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International</i><br><b>Sitiran untuk repositori data ini:</b>Rajeg, Gede Primahadi Wijaya (2020): Data dan R Notebook untuk <i>Linguistik Korpus Kuantitatif dan Kajian Semantik Leksikal Sinonim Emosi Bahasa Indonesia</i>. figshare. Dataset. https://doi.org/10.6084/m9.figshare.12073065
DOI: 10.6084/m9.figshare.13114544.v3
title: 3D-PACT Data and Codes

description: Supporting source data and codes for Lin et al. "High-Speed Three-Dimensional Photoacoustic Computed Tomography for Preclinical Research and Clinical Translation"
DOI: 10.6084/m9.figshare.16673866.v2
title: Corpus CSV

description: This file describes the corpus in a CSV format using a comma as separator. The file includes the following columns:<br><b>- en: </b>The words in English that composes the sentence;<b>- pt_br:</b> The words in Portuguese that composes the sentence;<b>- type: </b>The type of the sentence (OBJ for objective and SUBJ for subjective);<b>- pol:</b> The polarity of the sentence if it is a subjective sentence (-1, 0 or 1).<b>- en_path: </b>The path in OpenSubtitles related to the sentence in English;<b>- pt_br_path: </b>The path in OpenSubtitles related to the sentence in Portuguese;
DOI: 10.6084/m9.figshare.4545706.v1
title: The cranial osteology of <i>Buitreraptor gonzalezorum</i> Makovicky, ApesteguÍa, and AgnolÍn, 2005 (Theropoda, Dromaeosauridae), from the Late Cretaceous of Patagonia, Argentina

description: <i>Buitreraptor gonzalezorum</i> is a paravian theropod from the Late Cretaceous of Patagonia that has been recovered as an unenlagiine dromaeosaurid in several phylogenies. It was preliminarily described in a brief article, but a detailed osteology has not been published to date. Here we provide a thorough osteological description of the skull of the holotype, which preserves the maxillae, nasals, frontals, parietals, postorbitals, quadrates, and many mandibular bones, together with some in situ and isolated teeth. The isolated occipital condyle is the only element preserved from the braincase. Diagnostic cranial characters of this taxon include elongate skull; maxillary fenestra not dorsally displaced; posteriorly expanded postantral wall; quadrate with expanded lateral flange and a posterior pneumatic foramen; straight anterior border of the supratemporal fossa; nutrient foramina within a well-marked lateral groove on the dentary; and small, fluted teeth without denticles. <i>Buitreraptor</i> shares traits with <i>Austroraptor cabazai</i>, the only other unenlagiine to preserve cranial remains, although they also differ in the morphology of the maxillary fenestra and the presence/absence of interdental plates. A phylogenetic analysis was performed, recovering <i>Buitreraptor</i> as an unenlagiine dromaeosaurid, in agreement with previous works. The phylogenetic implications of some characters are discussed, including characters not previously considered for this taxon, such as the presence of the mylohyoid foramen. The distribution and codings of some characters are reconsidered, with an evaluation of how they influence the phylogenetic position of <i>Buitreraptor</i> and paravian relationships overall. SUPPLEMENTAL DATA—Supplemental materials are available for this article for free at www.tandfonline.com/UJVP Citation for this article: Gianechini, F. A., P. J. Makovicky, and S. Apesteguía. 2017. The cranial osteology of <i>Buitreraptor gonzalezorum</i> Makovicky, Apesteguía, and Agnolín, 2005 (Theropoda, Dromaeosauridae), from the Late Cretaceous of Patagonia, Argentina. Journal of Vertebrate Paleontology. DOI: 10. 10.1080/02724634.2017.1255639.
DOI: 10.6084/m9.figshare.7547825.v1
title: Data on barnacle density and maximum body size from Nova Scotia (2018)

description: This spreadsheet gives the data on the number of barnacles (<i>Semibalanus balanoides</i>) found in ten quadrats (20 cm x 20 cm) at each of 9 intertidal elevation zones spanning the full vertical intertidal range in wave-sheltered habitats on the coast of Tor Bay Provincial Park, Nova Scotia, Canada, collected on 25 November 2018. The spreadsheet also gives the data on the basal diameter of the widest barnacle found at each quadrat.
DOI: 10.6084/m9.figshare.1050482.v1
title: Genetic Screen for let-7-C modifiers in Drosophila Melanogaster

description: Poster presentation at the Midwest Drosophila Conference 2011
DOI: 10.6084/m9.figshare.14697210.v2
title: Lower Super Output Area (LSOA) level estimates of health outcomes and household income in 2018

description: Estimates of health outcomes and average household net income per month at the Lower Super Output Area (LSOA) level for the city regions of Manchester, Sheffield, Cardiff, and Glasgow in 2018
DOI: 10.25387/g3.6097337.v1
title: Supplemental Material for Kern and Schrider, 2018

description: Supplemental figures and tables
DOI: 10.6084/m9.figshare.8247017.v3
title: Job Satisfaction among Nepalese nursing faculties

description: This is the data of the study that was done to evaluate the level of satisfaction of Nursing faculties working in different Nursing colleges in Nepal.
DOI: 10.17632/cxpwbr3sjb
title: Data for: Trust, Information, and Liquidity Constraints to Adopting Weather Insurance: A Randomized Controlled Trial in Ethiopia
DOI: 10.6084/m9.figshare.7897010.v1
title: Global Urban Land Expansion by 2050

description: Spatially explicit, probabilistic forecasts of global urban land expansion.
DOI: 10.6084/m9.figshare.19602397.v1
title: Raw data for Overexpression of angiogenic factors and matrix metalloproteinases in the saliva of oral squamous cell carcinoma patients: potential non-invasive diagnostic and therapeutic biomarkers

description: Raw data for Overexpression of angiogenic factors and matrix metalloproteinases in the saliva of oral squamous cell carcinoma patients: potential non-invasive diagnostic and therapeutic biomarkers
DOI: 10.6084/m9.figshare.24548008.v6
title: Fuel-, vehicle type-, and age-specific CO<sub>2</sub> emissions from global on-road vehicles

description: <b><i>CO2_netCDF.zip</i></b> includes 3 files, <i>readme_nc.txt</i> is the descrition file of the rest 2 files. The format of data file is <i>.nc</i>, and demension description of the netCDF file is <i>.xlsx</i>. <b><i>CO2_mat.zip</i></b> includes 5 files, <i>readme_mat.txt</i> is the descrition file of the rest 4 data files. The format of data files is <i>.mat</i>, which could be load using matlab.
DOI: 10.6084/m9.figshare.7231442.v1
title: Additional file 5: of Big data analysis of human mitochondrial DNA substitution models: a regression approach

description: Table S5. All control region models ordered by their minimal AIC score. (XLSX 64 kb)
DOI: 10.6084/m9.figshare.9275168.v1
title: Quantitation of stereocilia dimensions in transduction and Myo15a mutants

description: Transduction mutant length and width data.xlsx contains data for <i>Tmie</i> KO and <i>Tmc</i> DKO mice at P7.5 and P21.5.<br><br>sh2 length and width data.xlsx contains data for <i>Myo15a^sh2</i> mice at P8.5.<br><br><br>For analyzing length and width of apical IHC stereocilia of <i>Tmie</i>, <i>Tmc1;Tmc2 </i>and <i>Myo15a^sh2</i> mutant mice at P7.5 and P21.5, z-stack images of phalloidin-stained IHC stereocilia from cochleas of mutant mice were obtained using identical image acquisition parameters. Images were acquired on a ZEISS Elyra PS.1/LSM 710 Airyscan combination setup, using a 63x 1.4 NA Plan-Apochromat or a 100x 1.46 NA alpha Plan-Apochromat lens, integrated under ZEN 2.1 software. Raw data processing for Airyscan-acquired images was performed using manufacturer-implemented automated settings. At least 2-4 cochleas were used for each genotype. Images containing hair bundles that were upright were selected for generating x-z reslices of stereocilia with the ‘Reslice’ function in Fiji. Reslices were chosen with views of stereocilia rows 1 and 2; we chose central stereocilia in most bundles. Stereocilia lengths were measured individually in Fiji by manually drawing a vertical line from the top of a stereocilium to the point of insertion in the cuticular plate. For measuring stereocilia widths, horizontal lines were manually drawn at 50% of the bundle height for both rows 1 and 2.<br>
DOI: 10.17608/k6.auckland.29095370.v1
title: Chapter 2 Supplementary Files

description: <b>Supplementary File 1</b>: Metadata for subset of FOCUS Trial samples selected for analysis<b>Supplementary File 2</b>: Metadata for subset of Gut Bugs Trial samples selected for analysis<b>Supplementary File 3</b>: Samples with low QC read counts that failed binning during MAG assembly<b>Supplementary File 4</b>: Samples with no genes on high quality MAGs*QC, quality control; MAG, metagenome-assembled genome<br>
DOI: 10.17632/7c49rz45c4
title: Bacterial levels and diversity in kitchen sponges and dishwashing brushes used by consumers

description: Data on bacterial levels and bacteriota results from sponges and brushes used by consumers. There are also data on usage information on the brushes and sponges reported by consumers.
The Excel file "Brushes and sponges" contains information about usage information on sponges and brushes as well as total bacterial counts and Salmonella counts. These are the data used in Table 2 and Table 4 in the article in Journal of Applied Microbiology by Møretrø et.al. with the same title as this dataset.
The Excel files "Run1_Norwegian" and "Run2_Portuguese, contain background data for microbiota analysis for Norwegian sponges and brushes and Portuguese sponges, respectively, and refer to data presented in Figure 1 and 2 and in Table 3 in the article in Journal of Applied Microbiology by Møretrø et.al. with the same title as this dataset.
DOI: 10.6084/m9.figshare.26660863.v1
title: Camera-LiDAR Datasets

description: The datasets are original and specifically collected for research aimed at reducing registration errors between Camera-LiDAR datasets. Traditional methods often struggle with aligning 2D-3D data from sources that have different coordinate systems and resolutions. Our collection comprises six datasets from two distinct setups, designed to enhance versatility in our approach and improve matching accuracy across both high-feature and low-feature environments.<b>Survey-Grade Terrestrial Dataset:</b><b>Collection Details:</b> Data was gathered across various scenes on the University of New Brunswick campus, including low-feature walls, high-feature laboratory rooms, and outdoor tree environments.<b>Equipment:</b> LiDAR data was captured using a Trimble TX5 3D Laser Scanner, while optical images were taken with a Canon EOS 5D Mark III DSLR camera.<b>Mobile Mapping System Dataset:</b><b>Collection Details:</b> This dataset was collected using our custom-built Simultaneous Localization and Multi-Sensor Mapping Robot (SLAMM-BOT) in several indoor mobile scenes to validate our methods.<b>Equipment:</b> Data was acquired using a Velodyne VLP-16 LiDAR scanner and an Arducam IMX477 Mini camera, controlled via a Raspberry Pi board.
DOI: 10.17632/97bzg6z28h
title: A Tutorial on Cognitive Diagnosis Modeling for Characterizing Mental Health Symptom Profiles Using Existing Item Responses

description: This repository contains the companion data and R code for Tan, Z., de la Torre, J., Ma, W., Huh, D., Larimer, M. E., & Mun, E.-Y.
(2022). A tutorial on Cognitive Diagnosis Modeling for characterizing mental health symptom profiles using existing item responses. Prevention Science. https://doi.org/10.1007/s11121-022-01346-8.

Abstract 
In research applications, mental health problems such as alcohol-related problems and depression are commonly assessed and evaluated using scale scores or latent trait scores derived from factor analysis or item response theory models. This tutorial paper demonstrates the use of cognitive diagnosis models (CDMs) as an alternative approach to characterizing mental health problems of young adults when item-level data are available. Existing measurement approaches focus on estimating the general severity of a given mental health problem at the scale level as a unidimensional construct without accounting for other symptoms of related mental health problems. The prevailing approaches may ignore clinically meaningful presentations of related symptoms at the item level. The current study illustrates CDMs using item-level data from college students (40 items from 719 respondents; 34.6% men, 83.9% White, and 16.3% first-year students). Specifically, we evaluated the constellation of four postulated domains (i.e., alcohol-related problems, anxiety, hostility, and depression) as a set of attribute profiles using CDMs. After accounting for the impact of each attribute (i.e., postulated domain) on the estimates of attribute profiles, the results demonstrated that when items or attributes have limited information, CDMs can utilize item-level information in the associated attributes to generate potentially meaningful estimates and profiles, compared to analyzing each attribute independently. We introduced a novel visual inspection aid, the lens plot, for quantifying this gain. CDMs may be a useful analytical tool to capture respondents’ risk and resilience for prevention research.
DOI: 10.6084/m9.figshare.24902046.v2
title: Genome annotation of <i>Polylopha cassiicola</i>

description: Genome annotation of <i>Polylopha cassiicola</i> (Tortricidae: Chlidanotinae) using Helixer
DOI: 10.6084/m9.figshare.26000386.v2
title: Rehearsal_011719.mat

description: Data structure from the rehearsal done on 01/17/19.
DOI: 10.17632/8p7vgp6jfw
title: Digital Economy, Tourism Industry, and Ecological Civilization

description: Data on digital economy, tourism industry, and ecological civilization in Guangxi, China, 2009-2022.
DOI: 10.6084/m9.figshare.12588188.v2
title: Supplementary Material for: Prelims

description: Medicine
DOI: 10.6084/m9.figshare.26062831.v1
title: Dataset: <b>Examining the medium effect with VET students: Do comprehension and decoding skills matter when reading on paper and screen?</b>

description: Abstract:The present study investigated how authentic informational texts on different mediums impacts the comprehension of students at a Norwegian upper secondary School of Vocational Education and Training (VET; n = 106, M = 16.5), and whether the impact differed according to individual differences in comprehension performance and decoding skills. In a within-subjects experimental design with presentation order counterbalanced, students read two history texts on their own laptop computers and printed A4 booklets. Results indicated that the whole sample had lower comprehension on screen compared to on print. There was also an effect of decoding skills on overall comprehension, but no significant interaction between medium and decoding skills. However, when splitting into higher and lower comprehension groups, only lower performers experienced a significant medium effect. Given the prevalence of screens in upper secondary classrooms, these findings suggest that educators should be aware of challenges with, and teach strategies for, screen reading.Data description:The dataset includes the anonymous data of the participants who took the reading test. The dataset is presented in long format with 20 cases per ID (matching each question response per text). The outcome variable is the RC-score, coded 1 or 0 for correct and incorrect responses.The predictor variables are text (1 = text A, 2 = text B), text order (1 for first or 2 for second), Item (A1-A10 and B1-B10), and medium (1 = digital, 2 = print)Other variables are gender (1 = female, 2 = male) and the WCT_scores representing decoding skills (from 0-75).
DOI: 10.17632/f6f3y6ndgw
title: Indonesian Muslim Student Face Dataset (IMSFD)

description: Indonesian Muslim Student Face Dataset is a face image dataset designed to facilitate facial analysis or facial recognition research. The dataset encompasses a wide range of demographic attributes including diverse genders, ethnicities, and poses. Images were collected using various capture devices such as CCTV, Webcam, Front and Back Smartphone cameras, and DSLR camera, ensuring a diverse representation of facial characteristics and imaging conditions. The dataset underwent rigorous pre-processing, including frame extraction from video, accurate face detection, and precise cropping, resulting in standardized face images that effectively isolate and emphasize facial features.
DOI: 10.6084/m9.figshare.16657471.v1
title: Supplemental table 1

description: Molecular analysis of patients with congenital hyperplasia (CH)
DOI: 10.6084/m9.figshare.17125631.v1
title: genome of Pictodentalium vernedei

description: the genome of Pictodentalium vernedei (Hanley in G. B. Sowerby II, 1860)<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>
DOI: 10.6084/m9.figshare.28979075.v1
title: <b>sMRI-based Diagnosis</b>

description: This research aims to enhance ADHD diagnosis in children using structural Magnetic Resonance Imaging (sMRI) data. We propose an optimized deep learning pipeline incorporating attention mechanisms for accurately distinguishing between individuals with and without ADHD.
DOI: 10.6084/m9.figshare.9948197.v1
title: Supplementary Material for: Lipocalin-1 Expression as a Prognosticator Marker of Survival in Breast Cancer Patients

description: <b><i>Purpose:</i></b> LCN1 (lipocalin-1), a gene that encodes tear lipocalin (or von Ebner’s gland protein), is mainly expressed in secretory glands and tissues, such as the lachrymal and lingual gland, and nasal, mammary, and tracheobronchial mucosae. Analysis of the Cancer Genome Atlas (TCGA) Breast Carcinoma (BRCA) level 3 data revealed a relationship between LCN1 expression and survival in breast cancer patients. <b><i>Methods:</i></b> The χ<sup>2</sup> test and Fisher exact test were applied to analyze the clinical data and RNA sequencing expression data, and the association between LCN1 expression and clinicopathologic features was determined. The receiver-operating characteristic (ROC) curve of LCN1 was drawn to assess its ability as a diagnostic marker, and the optimal cutoff value was obtained from the ROC curve to distinguish groups with high and low LCN1 expression. Cox regression was used to compare both groups, and a log-rank test was applied to calculate <i>p</i> values and compare the ­Kaplan-Meier curves. Furthermore, GEO datasets were employed for external data validation. <b><i>Results:</i></b> Analysis of 1,104 breast cancer patients with a primary tumor revealed that LCN1 was overexpressed in breast cancer. High LCN1 expression was associated with clinicopathologic features and poor survival. Analyzing the area under the ROC curve (AUC) of LCN1, it was found that its diagnostic ability was limited. Multivariate analysis indicated that LCN1 expression is an independent predictor of survival in breast cancer patients. Through validation in GEO datasets, LCN1 expression was higher in tumor than normal tissue of the breast. High LCN1 expression was associated with poor survival in breast cancer patients. <b><i>Conclusions:</i></b> High LCN1 expression is an independent prognosticator of a poor prognosis in breast cancer.
DOI: 10.17632/g49bw7tk2x
title: LC-QTOF dataset on antibacterial activity extract of Dryopteris lacera (Thunb.) Kuntze and Dryopteris bissetiana (Baker) C. Chr.

description: The leaves of Dryopteris sp. were extracted with 70 % EtOH, and the chemical compounds were analyzed by UPLC-QTOF-MS system. The mobile phase was a gradient elution using solvent A (DW + 0.1 % formic acid) and solvent B (ACN + 0.1 % formic acid). The capillary voltage was 2.5 kV,  mass range was 50-1500 m/z. The antibacterial effect on pathogenic microorganisms (E. coli, Salmonella enteritidis, Staphylococcus aureus, Streptococcus mutans, Candida albicans).