cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6683004.v1
title: US 2016 Election Data used for classification of Organized Behavior in Twitter

description: TweetIds and Collections<br> p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 8.0px Helvetica} Erdem Beğenilmiş and Suzan Uskudarli. 2018. Organized Behavior Classification of Tweet Sets using Supervised Learning Methods. In WIMS ’18: 8th International Conference on Web Intelligence, Mining and Semantics, June 25–27, 2018, Novi Sad, Serbia. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3227609.3227665<br>
DOI: 10.6084/m9.figshare.27320781.v1
title: Seurat_sct_slot_with_annotation.RDS

description: <i>C. auris, </i>an emerging fungal pathogen, preferentially colonizes human skin and causes outbreaks of systemic infections. However, the factors that regulate the pathogenesis of <i>C. auris</i> are still unclear. Using unbiased scRNA-seq profiling of murine skin infected with <i>C. auris</i>, we identified the host immune factors that are potentially involved in the regulation of <i>C. auris</i> in the skin. Furthermore, our <i>in vivo</i> scRNA-seq reveals that <i>C. auris</i> infection upregulates IL-1Ra in the myeloid cells and limits neutrophil antifungal activity. In addition, our results suggest that <i>C. auris</i> mannan layer can evade IL-1R signaling mediated skin defense. Collectively, our findings identified the immune and non-immune cells involved in the regulation of <i>C. auris</i> in the skin which could open the door to gain insights into the pathogenesis of this emerging fungal pathogen.
DOI: 10.17632/9wpm748fb3
title: Neural network architecture and training data for prediction of porous material mechanical properties based on their microstructure

description: This repository contains data used for predicting the mechanical response of porous natural materials based on their microstructural features. CT scans of porous natural materials were segmented using ImageJ (and the custom ImageJ script SegmentJ: https://github.com/JPELO/SegmentJ), and microstructural geometric features such as volume density, surface area density, and asymmetry were extracted from the scans. Mesh .STL files were also created using ImageJ for each sub-scan. The open source parallelizable finite element software MOOSE was used to simulate uniaxial monotonic compression testing and produce a stress-strain response for each sub-scan. Additionally, the mesh files were used to 3D print physical microstructures and were tested experimentally in uniaxial monotonic compression at a rate of 5mm/min. The material used to print the structures was Formlabs Grey Pro with a Formlabs Form2 printer. MATLAB was then used to create and train a neural network capable of predicting the mechanical stress-strain curve of a porous microstructure based on its geometric features.
DOI: 10.6084/m9.figshare.7726454.v2
title: Data Carpentry Genomics beta 2.0

description: These files are intended for use with the Data Carpentry Genomics curriculum (https://datacarpentry.org/genomics-workshop/). Files will be useful for instructors teaching this curriculum in a workshop setting, as well as individuals working through these materials on their own.<br>This curriculum is normally taught using Amazon Web Services (AWS). Data Carpentry maintains an AWS image that includes all of the data files needed to use these lesson materials. For information on how to set up an AWS instance from that image, see https://datacarpentry.org/genomics-workshop/setup.html. Learners and instructors who would prefer to teach on a different remote computing system can access all required files from this FigShare dataset.<br>This curriculum uses data from a long term evolution experiment published in 2016: Tempo and mode of genome evolution in a 50,000-generation experiment (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4988878/) by Tenaillon O, Barrick JE, Ribeck N, Deatherage DE, Blanchard JL, Dasgupta A, Wu GC, Wielgoss S, Cruveiller S, Médigue C, Schneider D, and Lenski RE. (doi: 10.1038/nature18959). All sequencing data sets are available in the NCBI BioProject database under accession number PRJNA294072 (https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA294072). <br>backup.tar.gz: contains original fastq files, reference genome, and subsampled fastq files. Directions for obtaining these files from public databases are given during the lesson https://datacarpentry.org/wrangling-genomics/02-quality-control/index.html). On the AWS image, these files are stored in <code>~/.backup</code> directory. 1.3Gb in size.<br>shell_data.tar.gz: contains the files used as input to the Introduction to the Command Line for Genomics lesson (https://datacarpentry.org/shell-genomics/). <br>sub.tar.gz: contains subsampled fastq files that are used as input to the Data Wrangling and Processing for Genomics lesson (https://datacarpentry.org/wrangling-genomics/). 109Mb in size.<br>solutions: contains the output files of the Shell Genomics and Wrangling Genomics lessons, including <code>fastqc</code> output, sam, bam, bcf, and vcf files.<br>vcf_clean_script.R: converts vcf output in .solutions/wrangling_solutions/variant_calling_auto to single tidy data frame. <br> p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 16.0px 'Andale Mono'; color: #29f914; background-color: #000000} span.s1 {font-variant-ligatures: no-common-ligatures} <br>combined_tidy_vcf.csv: output of vcf_clean_script.R<br>
DOI: 10.6084/m9.figshare.7974758.v1
title: VALIDATION OF SMARTPHONE FREE HEART RATE MONITORING APPLICATION DURING TREADMILL EXERCISE

description: ABSTRACT Objective: The number of people participating in leisure sports activities and amateur competitions has been rising sharply. Free smartphone heart rate monitoring applications are readily available for use; however, information on their accuracy during exercise is still limited. Therefore, the purpose of our study was to validate a smartphone free heart rate monitoring application during treadmill exercise in healthy individuals. Methods: This was a prospective experimental study testing the free heart rate app 'INSTANT HEART RATE: AZUMIO.' Twenty-seven healthy participants were requested to perform the treadmill task with four different workloads: walking at 2.0 mph, walking at 3.5 mph, jogging at 4.5 mph and running at 6.0 mph. Participants had to perform the exercises for 3 minutes for each workload, and heart rates were recorded using the smartphone app and ECG at rest, during the exercise and recovery periods at each 60-second interval. Results: Heart rates measured using the free smartphone app at rest, walking at 2.0 mph, brisk walking at 3.5 mph, slow jogging at 4.5 mph and recovery stage were accurate with correlation coefficient value ≥0.95 and standard error of estimate &lt;1 bpm. However, the correlation values during running at 6 mph were inconsistent with a standard error of estimate &gt;5 bpm. Conclusion: The free smartphone app that we tested accurately estimates heart rate at rest, during low to moderate intensity exercise and the recovery period, but becomes less consistent during high-intensity exercise, making this app suitable for use during indoor activities of low to moderate intensity. Level of evidence II; Diagnostic Studies - Investigating a diagnostic test.
DOI: 10.17632/bmwvmdnt5s
title: Retrieving arXiv, SocArXiv, and SSRN Metadata

description: Retrieving arXiv, SocArXiv, and SSRN metadata for initial review screening.
DOI: 10.6084/m9.figshare.21120268.v1
title: HIV multiomics lipidomics data

description: Lipidomics data with patients ID for multiomics HIV paper
DOI: 10.17632/44p9ck395x
title: Supplementary information for "Plasma Proteomics identify Biomarkers and Pathogenesis of COVID-19"

description: Provided here are the supplementary information for the below manuscript published in Immunity entitled as "Plasma Proteomics identify Biomarkers and Pathogenesis of COVID-19".
DOI: 10.6084/m9.figshare.26488519.v3
title: <b>Code Today, Deadline Tomorrow: Procrastination Among Software Developers</b>

description: This is the supplementary material of the paper "Code Today, Deadline Tomorrow: Procrastination Among Software Developers".
DOI: 10.6084/m9.figshare.7718576.v1
title: Supplementary Material for: Rectal Dieulafoy’s Lesion: A Rare Etiology of Lower Gastrointestinal Hemorrhage

description: A Dieulafoy’s lesion is defined as a dilated submucosal vessel that erodes the overlying epithelium without evidence of a primary ulcer or erosion. It is a rare cause of gastrointestinal bleeding that is difficult to identify and subsequently manage. Most commonly, they occur in the upper gastrointestinal tract, namely the stomach. A Dieulafoy’s lesion of the rectum, however, is an exceedingly rare presentation that can lead to life-threatening gastrointestinal bleeding. Our case consists of an 84-year-old man, who presented with lower gastrointestinal bleeding secondary to a Dieulafoy’s lesion of the rectum.
DOI: 10.15468/dl.afm44b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia innesi (Fowler, 1934)",
 "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 ((7.9186 1.8496,7.918 1.8981,7.6701 2.1458,7.2444 2.1771,6.9224 1.8988,6.9096 1.8496,7.9186 1.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013378-250525065834625/datasets/export for details.
DOI: 10.17632/3ypcff25yx
title: Supplemental Material

description: Supplemental material JDS
DOI: 10.6084/m9.figshare.27898515.v1
title: GTF files for annotating transposable elements in <i>Capra hircus</i> (goat) genome

description: Transposable elements (TEs, also called transposons) are mobile genetic elements consist of repetitive sequences, accounting for about half of a mammal genome. TEs are somewhat overlooked in typical genomic and transcriptomic analyses due to its repetitive nature, rendering complexities and uncertainty in attributing ambiguously aligned short reads to the exact elements. In less studied species like <i>Capra hircus</i> (goat), the genomic features of TEs are not well annotated. To benefit TEs research in <i>Capra hircus</i>, we generated detailed annotation files for goat TEs at both subfamily and location levels. The Ensembl curated<i> Capra hircus</i> genome assembly ARS1 (GCA_001704415.1, accessed at https://ftp.ensembl.org/pub/release-112/fasta/capra_hircus/dna/Capra_hircus.ARS1.dna.toplevel.fa.gz,) was used for genome mapping and annotation. The TEs of the<i> Capra hircus</i> genome were annotated using the <i>RepeatMasker</i> (version 4.1.6) software, with default mode run using <i>rmblastn </i>(version 2.14.0+) and <i>FamDB</i> (RBRM 3.8). The RepeatMasker annotation tables were parsed to filter out repeats like rRNA, scRNA, snRNA, srpRNA, and tRNA. The makeTEgtf.pl script (http://labshare.cshl.edu/shares/mhammelllab/www-data/TEtranscripts/TE_GTF/makeTEgtf.pl.gz) was used to reformat RepeatMasker table into GTF file for further use. Detailed codes for making and using these files were attached in the Code_for_goat_TE.txt file.
DOI: 10.6084/m9.figshare.5114005.v5
title: Quercus cerris chorology

description: Distribution map of Turkey oak (<i>Quercus cerris</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). <br>Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.21648455.v1
title: Table 5.6

description: <strong>Table 5.6: Source data for Rfx1/2/3 KO analysis.</strong> GE datasets for WT and Rfx1/2/3 KO ependymal cell. Each sheet contains Ensembl ID, gene symbol, expression levels (cRPKM) for Olfactory-Sperm dataset, spermatocytes-specific genes, olfactory-specific genes and cilia genes.
DOI: 10.6084/m9.figshare.5492626.v1
title: ERG_RawData.xls

description: Raw measurements from ERG data, underlying Figure 1 and Supplementary Fig. 2
DOI: 10.6084/m9.figshare.12692702.v1
title: Donchev et al. DES5M

description: Extended dataset, containing interaction energies calculated using SNS-MP2, MP2, HF, and SAPT0, as well as dimer geometries.
DOI: 10.6084/m9.figshare.12842996.v1
title: Supplemental Table, original data.xlsx

description: Race and ethnicity data for U.S. medical schools, all enrollees, for 1978 to 2019. Data provided by the Association of American Medical Colleges.Medical school matriculants (U.S.) from 1978 to 2019 by medical school. Includes gender, race and ethnicity data. Obtained from AAMC.
DOI: 10.6084/m9.figshare.23566080.v1
title: MD-ligand-receptor input trajectory test case

description: To demonstrate the capabilities of MD-ligand-receptor pipeline we launched it on the system: human DNA topoisomerase I in complex with camptothecin venom (CPT) and in covalent complex with a 22-base-pair DNA duplex. The initial structure was downloaded from the Protein Data Bank (PDB ID: 1T8I). The biological system was chosen as the test case for MD-ligand-receptor, considering the pivotal role of CPT as a chemotherapeutic drug targeting human Topoisomerase I (hTop1p). Human Topoisomerase I is an essential enzyme involved in DNA relaxation, and its inhibition by CPT leads to DNA replication disruption and activation of apoptotic response in cancer cells during the S phase of the cell cycle.
DOI: 10.6084/m9.figshare.5259820.v1
title: The effects of high dose of two manganese supplements (organic and inorganic) on the rumen microbial ecosystem

description: The effects of high dose of two manganese supplements (organic and inorganic) on the rumen microbial ecosystem after four months of treatment of 18 lambs divided into three treatment groups were studied. We examined the enzyme activities (α-amylase, xylanase, and carboxymethyl cellulase), total and differential microscopic counts of rumen ciliates, total microscopic counts of bacteria, and fingerprinting pattern of the eubacterial and ciliates population analyzed by PCR-DGGE.
DOI: 10.6084/m9.figshare.7264670.v1
title: Data and code from: "Environmental filtering explains a U-shape latitudinal pattern in regional β-deviation for eastern North American trees"

description: Data and code from: "Environmental filtering explains a U-shape latitudinal pattern in regional β-deviation for eastern North American trees". The paper has been published in Ecology Letters: https://doi.org/10.1111/ele.13188
DOI: 10.17632/pg4xyzz86n
title: Dataset for "Motion and clustering of bonded particles in narrow solid-liquid fluidized beds"

description: This data presents MATLAB scripts and data in order to reproduce the figures and videos obtained for the article "Motion and clustering of bonded particles in narrow solid-liquid fluidized beds"
DOI: 10.6084/m9.figshare.13194095.v1
title: European Primary Forest Database

description: The European Primary Forest Database is a curated collection of (sub)-national and regional datasets on the distribution of primary forests in Europe. It contains geographical (GIS) data (point, polygons) on the location and boundaries of documented primary and old-growth forests in Europe<br>
DOI: 10.6084/m9.figshare.28929569.v1
title: Kartikaningrum et al. 2025_Supplementary information of "Identification of heat-tolerant <i>Impatiens</i> genotypes: morphological responses and stress tolerance indices under elevated temperatures"

description: This study aimed to identify <i>Impatiens</i> (balsam plant) genotypes that exhibit superior heat tolerance traits and explore how temperature affects plant morphology. The research compared ten <i>Impatiens</i> genotypes under heat stress and normal conditions. Measurements were taken during the vegetative and generative stages and at the end of the observation period. Results revealed significant genotype-specific responses to temperature with genotype and temperature interactions. Some genotypes exhibited superior plant height, leaf number, and flower production traits. However, under heat stress, many traits generally declined, including plant height and flower number, while some traits, like leaf length and width, increased. We found the darker colors in leaves, stems, and flowers under heat stress compared to control conditions. We also calculated heat tolerance indices. Thecorrelation and biplot analyses found that heat tolerance (<i>TOL</i>) often indicates susceptibility, while the stress tolerance index (<i>STI</i>), mean productivity (<i>MP</i>), and the geometric mean of productivity (<i>GMP</i>) reflect stress tolerance and yield performance under stress. <i>STI, MP,</i><i> </i>and <i>GMP</i> are the most effective tools for selecting heat stress-tolerant for our <i>Impatiens</i><i> </i>genotypes. The identified specific genotypes with high <i>STI</i>, <i>MP</i>, and <i>GMP</i> and low <i>TOL,</i> such as 22.04.16 and 22.04.08, exhibit resilience and robust performance under heat stress.
DOI: 10.6084/m9.figshare.29064326.v1
title: <b>Coexistence of </b><b><i>bla</i></b><b>NDM-</b><b>1</b><b>, </b><b><i>bla</i></b><b>KPC-2</b><b> and </b><b><i>tmexCD2-toprJ2 </i></b><b>in</b><b> </b><b>Clinical ST</b><b>1545</b><b> </b><b><i>Klebsiella pneumoniae</i></b><b> from China</b>

description: The emergence of pathogens resistant to both carbapenems and tigecycline poses a global threat to public health. Adaptation of resistance determinants to novel hosts has accelerated the resistance crisis. In this study, we identified seven ST1545 <i>Klebsiella pneumoniae</i> isolates co-harboring <i>bla</i>NDM-1 and <i>bla</i>KPC-2, with three of them additionally carrying <i>tmexCD2-toprJ2</i>. These isolates were resistant to multiple antimicrobials. The supplementary data was uploaded here for readers' reference.
DOI: 10.17632/n47cnzgw66
title: Data for: Late Paleozoic Gondwanide deformation in the central Andes: Insights from RSCM thermometry and thermal modeling, southern Bolivia

description: Supplementary text and data set. Text provides a detailed explanation of methods and thermal model parameters. Supplementary data set provides individual spot data for each RSCM analysis.
DOI: 10.6084/m9.figshare.27332217.v1
title: Annotation outcomes for article "A Framework for Rigorous Execution and Presentation of Expert Interviews in IS and Digital Transformation Research"

description: This file contains the coding and annotations for the article "A Framework for Rigorous Execution and Presentation of Expert Interviews in IS and Digital Transformation Research".Please refer to chapter 2 to understand how the sources for annotation were selected.The summary and descriptions of the annotation outcomes are presented in chapters 3 and 4, respectivey.The ReadMe sheet contains explain the coding approach and refers to the relevant chapters for further information:
DOI: 10.17632/gx5cr7fpwn
title: Early warning 2. Factors associated with academic performance 2022-2 Campus Cúcuta - Universidad de Santander

description: Modelo de regresión logística estimado - Variable respuesta: Promedio del estudiante: inferior<3,8 vs superior >3.8. Las variables explicativas son en el paso 1: desemp_ingles, Desemp_matem, ¿Cuál es el nivel educativo más alto alcanzado por su padre?, TUTORIAS2, FACULTAD.
DOI: 10.6084/m9.figshare.12083886.v1
title: TCPA Pan-Cancer Level 4 data (Protein)

description: TCPA Pan-Cancer Level 4 data, including quantitative CD20 protein levels
DOI: 10.6084/m9.figshare.14459007.v1
title: Long Read Fusion Simulation

description: This file contains simulated reads from Oxford Nanopore Technologies and PacBio sequencing of 2500 fusion genes. Original fusion gene sequences were taken from Haas et al.,Genome Biol., 2019 and data was simulated with Badread version 0.1.5, using 25 combinations of read identity levels (75-95%) and coverage levels (1-100 reads).<br>This data was used to assess the sensitivity of the long read fusion finder JAFFAL, https://github.com/Oshlack/JAFFA
DOI: 10.6084/m9.figshare.16923631.v1
title: Gait measurements: names and contents of CSV files in Matlab file-variable

description: The file contains the same data as the CSV files, but organized into one variable, 'gaitMeasurements'. It occupies about 3 gigabytes of memory, being a cell array of 13702 structures of vectors. Each structure holds (in separate fields-vectors) the name and signals of one CSV file.
DOI: 10.6084/m9.figshare.21318321.v3
title: Dataset and software for: Coding of object location by heterogeneous neural populations with spatially dependent correlations in weakly electric fish.

description: Dataset to compute statistics as well as to generate the figures for the study: Haggard M, Chacron MJ (2023) Coding of object location by heterogeneous neural populations with spatially dependent correlations in weakly electric fish. PLOS Computational Biology 19(3): e1010938. https://doi.org/10.1371/journal.pcbi.1010938 <br> Please read ReadMe.txt for further descriptions and explanation and extract the zip file.
DOI: 10.6084/m9.figshare.24418201.v2
title: Bahamas seagrass sediment data.xlsx

description: Seagrass sediment carbon, nitrogen, carbon isotope, and Pb-210 data from 10 seagrass meadows across an extensive island chain in The Bahamas.
DOI: 10.6084/m9.figshare.25331194.v1
title: 派单数据

description: 论文“基于动态分区的配电网日前和日内调度策略研究”中的数据。
DOI: 10.6084/m9.figshare.8312183.v1
title: Trained neural network models

description: These neural network models were trained on an EyePACS set distributed by Kaggle, and were used in a study in an attempt to replicate methods of JAMA 2016; 316(22), and reproduce their results. We used Tensorflow and Keras.<br>The source code of the replication/reproduction study, and instructions to classify retinal fundus images by using these models are described here: https://github.com/mikevoets/jama16-retina-replication#evaluation<br>Our study is published here: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0217541<br>