cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9640598.v1
title: Chemostat manuscript dataframe

description: 1) 'Chemostat Turnover and Deviation from Steady State.xlsx' - Contains all dilution rate and optical density measurements, as well as calculated volume-adjusted turnover times, inferred doubling times, and percent deviation from steady-state. <br>2) 'Saci Chemostat Data Compilation.xlsx' - Contains all lipid data (exported directly from Agilent MassHunter software). Ring index values are calculated from GDGT peak areas for all chemostat samples processed to date.
DOI: 10.17632/5gt4fg4rvp
title: UrbanScene: An Extensive Multi-Object Dataset for Pedestrian, Traffic, and Motorbike Detection

description: This is a dataset of 16,426 urban photos capturing vehicles, cyclists, motorbikes, and pedestrians across Morning, Evening, and Night scenes. Useful for machine learning in traffic analysis, urban planning, and public safety, the dataset aids in algorithm development for pedestrian detection, traffic flow analysis, and infrastructure optimization.
DOI: 10.6084/m9.figshare.16656982.v4
title: endocrinogenesis_day15_sctransform.h5ad

description: Description adjusted from the sctransform documentation (https://satijalab.org/seurat/articles/sctransform_vignette.html):<br>"The results of sctransfrom are stored in layers with the “SCT” prefix. SCT_normalized contains the residuals (normalized values), and is used directly as input to PCA. To assist with visualization and interpretation. we also convert Pearson residuals back to ‘corrected’ UMI counts. You can interpret these as the UMI counts we would expect to observe if all cells were sequenced to the same depth. The ‘corrected’ UMI counts are stored in <code>SCT_corrected_UMI</code>. We store log-normalized versions of these corrected counts in <code>SCT_lognorm_corrected_UMI</code>, which are very helpful for visualization.You can use the corrected log-normalized counts for differential expression and integration. However, in principle, it would be most optimal to perform these calculations directly on the residuals (stored in the <code>SCT_normalized</code> slot) themselves."
DOI: 10.6084/m9.figshare.26124061.v2
title: Genome Project of<i> Stichopus monotuberculatus</i>

description: Genome Project of<i> Stichopus monotuberculatus</i>, It contains genome assembly ,genome annotation, gene function ,and gene family data.
DOI: 10.6084/m9.figshare.7087697.v1
title: Human and mouse cistromes: genomic maps of putative cis-regulatory regions bound by transcription factors

description: This dataset consists of 1 <b>.xlsx</b> file and 8 <b>.zip</b> files:- <b>cistrome_overview.xlsx</b> is an Excel spreadsheet containing the computational protocol of the cistrome aggregation in the 1st tab, and overviews of the resulting cistrome maps for mouse and human in the 2nd and 3rd tabs.- <b>cistrome_hg19.zip</b>, <b>cistrome_hg38.zip</b>, <b>cistrome_mm9.zip </b>and <b>cistrome_mm10.zip</b> contain genome-wide cistome genomic maps for human (hg19 and hg38) and mouse (mm9 and mm10) genome assemblies. Each <b>.zip</b> file contains two folders: one for the base cistrome and another for the motif-annotated subset. The contents of these folders are <b>.bed</b> files.- <b>cistrome2genes_hg19.zip</b>, <b>cistrome2genes_hg38.zip</b>, <b>cistrome2genes_mm9.zip</b> and <b>cistrome2genes_mm10.zip</b> contain gene-centric maps for the respective human and mouse genome assemblies, annotated with the transcription start sites (TSS) using the GENCODE reference data. The gene lists include only the genes with cistrome regions located not farther than 10kb from TSS. These are <b>.tsv</b> files.- Inside each <b>.zip</b> file, there is a separate text (<b>.txt</b>) file with a technical description of contents and file naming conventions.<br>The related manuscript describes the objectives, sourcing and processing of the data provided here in greater detail. In short, the objective is to present general genome-wide maps of putative cis-regulatory regions bound by transcription factors for human and mouse cistromes. This is achieved through systematic analysis of ChIP-Seq data obtained from the Gene Transcription Regulation Database (http://gtrd.biouml.org) and sequence motifs from the HOmo sapiens COmprehensive MOdel COllection (HOCOMOCO: http://hocomoco.autosome.ru).
DOI: 10.17632/57mv55r8ys
title: Herrera JL-Cell Reports

description: RNA-seq raw data from HUVEC cells transducer with Mock or R-Ras38V lentiviruses.
DOI: 10.17632/t6xsgx957b
title: An atomic program for energy levels of equivalent electrons: lanthanides and actinides

description: Abstract A program written in C is presented to carry out brute force calculations in order to derive energy levels for an equivalent electronic configuration. Relativistic effects are partly neglected except for the spin-orbit interaction. Since the main relativistic effects are indirect, i.e. causing a contraction of the core which in turn causes the outer shells to expand, they are included to a high degree through the use of appropriate Slater integrals. The program is especially useful for primar... Title of program: Lanthanide Catalogue Id: ADMZ_v1_0 Nature of problem Diagonalizations of various one-, two- and three-particle operators that result in energy eigenvalues and their eigenfunctions. The various operator parameters have to be calculated ab initio or taken from experiment; these are used as input to the program. The approach is non-relativistic (it is empirically known that the main relativistic and correlation effects can be absorbed in the input parameters) making the program mainly useful for systems such as studies of energy structure of open val ... Versions of this program held in the CPC repository in Mendeley Data ADMZ_v1_0; Lanthanide; 10.1016/S0010-4655(00)00171-5 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/wkypp73j7z
title: Impact of Exchange Rate Volatility on Coffee Export in Kenya

description: The data for this study was obtained from various sources. The firm-level panel data for coffee from 2001 to 2020 was obtained from the Coffee Board of Kenya, International Coffee Organization, and Penn World Table. The annual firm-level data obtained was from 8 main coffee exporters who control about 80% of the market share. These exporters are Rashid Moledina & Co. Ltd., Kenya Co-operative Coffee Exporters Limited, Dormans, Mwangi Coffee Exporters, Sannex Coffee, Africoff Trading Co. Ltd, Rockbern Coffee Group and Diamond Coffee Company Ltd. The data on the four main trade destinations (foreign importing countries) – for the period under study – was also obtained from Coffee Board of Kenya. These four countries (Germany, Belgium, the United States and South Korea) import about 61% of the total Kenyan coffee are Germany, Belgium, the United States, and South Korea. Finally, the data on the RER was obtained from Central Bank of Kenya.
DOI: 10.17632/zxc6sdsj8d
title: Dataset of Factors affecting online cheating by accounting students: the relevance of social factors and the fraud triangle model factors

description: • Data was fully used in its description of the way opportunities, pressures, rationalization, subjective norms, social trust, behavioral intention to cheat can influence the cheating behavior among accounting students in the context of Jordan during the Covid-19 pandemic; • The dataset is useful for further comparisons in further studies dedicated to distance learning issues among nations that have distinct contexts and are experiencing different stages of Covid-19 pandemic; • Data is useful in providing insights and direction on the way to understand the motivations underlying the behavioral intention to cheat while university exams are held online through the integrated theoretical framework that includes the social capital theory and the fraud triangle theory based on literature; • Dataset can be used as a guide and reference by the educators who are seeking to minimize the chances for dishonest students to cheat in online exams; • The dataset outcome not only can help educational universities to understand how severe is the online cheating problem among students in Jordan, but they can also help them identify the underlying motives behind the cheating behavior during these difficult times. Such understanding is particularly important to help these institutions producing a more fair assessment system for students' performance while adopting the online learning system as the primary approach of education in the country.
DOI: 10.6084/m9.figshare.1189274.v1
title: S1 sandstone

description: Micro-CT image of S1 sandstone and extracted networks (Dong and Blunt, 2009, DOI: http://dx.doi.org/10.1103/PhysRevE.80.036307) The image can be visualised by opening the Nrrd header file S1.nhdr in visualization software such as Paraview or ImageJ (http://fiji.sc/Fiji), You can also open the S1.nhdr file in a text editor to see the image and voxel sizes. See the link provided for further information.
DOI: 10.6084/m9.figshare.19650954.v1
title: Participants Behavior Results

description: The results of ABT and SGT behavior tasks.
DOI: 10.17632/mgfk4npkr6
title: Impact of adjuvant radiation therapy on survival and recurrence in stages I-III Merkel Cell Carcinoma: a retrospective study of 312 patients

description: Supplemental Figure 1. Panel A, Recurrence-free survival according to treatment. Panel B, local recurrence-free survival according to treatment. Panel C, in-transit recurrence-free survival according to treatment. Panel D, regional-lymph node recurrence-free survival according to treatment. Panel E, distant-metastasis free survival according to treatment. 
Supplemental Table I. Baseline treatment and patterns of recurrence, according to nodal status at baseline
Supplemental Table II. Univariate and multivariate Cox proportional hazard analysis for MCC related death and MCC recurrence 
Supplemental Table III. Multivariate Cox proportional hazard analysis for local, in transit, regional recurrence and distant metastasis free survival
Supplemental Table IV. Recurrence patterns after aRT on tumoral bed, according to nodal status at baseline 
Supplemental Table V. Recurrence patterns after aRT on LN area, according to nodal status at baseline
DOI: 10.17632/t7nkmvv7r2
title: Nanoinfluencer Effectiveness

description: Dataset for study 1, 2, and 3 for Nanoinfluencer Effectiveness
DOI: 10.6084/m9.figshare.14761866.v1
title: Metadata record for: GazeBase, a large-scale, multi-stimulus, longitudinal eye movement dataset

description: This dataset contains key characteristics about the data described in the Data Descriptor GazeBase, a large-scale, multi-stimulus, longitudinal eye movement dataset. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.11471871.v1
title: MOESM4 of Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces

description: Additional file 4 Supplementary codes and data. The Python codes of the proposed method and the source data.
DOI: 10.6084/m9.figshare.25202630.v1
title: BD Rhapsody matrix of single-cell RNA sequencing (scRNA-seq)

description: BD Rhapsody matrix of single-cell RNA sequencing (scRNA-seq)
DOI: 10.6084/m9.figshare.25858507.v1
title: Supplementary Material for: Severe refractory diarrhea associated with COVID-19: A case report

description: Introduction: Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is frequently associated with various gastrointestinal symptoms, including abdominal pain, vomiting, and diarrhea. Moreover, several cases of refractory diarrhea have been reported after COVID-19 recovery. Herein, we present a case of severe refractory diarrhea associated with COVID-19. 
Case Presentation: A 50-year-old man with no comorbidities was admitted to our hospital with SARS-CoV-2 pneumonia. His respiratory status deteriorated, and ventilatory management, including extracorporeal membrane oxygenation, was needed. The patient’s respiratory condition improved, resulting in a transfer to another hospital for rehabilitation. However, the patient developed diarrhea that worsened to 6,000–7,000 mL/day, and he was transferred to our hospital. We diagnosed the patient with enterocolitis caused by cytomegalovirus infection and treated him with ganciclovir on day 5 after transfer to our hospital. The diarrhea did not improve. We suspected enterocolitis associated with COVID-19 and administered a methylprednisolone pulse (intravenous injection, 1000 mg/day for 3 days) on day 10 after transfer, resulting in a marked improvement in his symptoms. The prednisolone dose was tapered, and no recurrence of diarrhea was observed thereafter. 
Conclusion: The prevalence of COVID-19-associated enterocolitis is low, and the pathogenesis of the disease remains unclear. Prednisolone administration should be considered in cases of post-COVID-19 symptoms of severe diarrhea due to a possible abnormal immune response related to COVID-19.
DOI: 10.6084/m9.figshare.7945094.v1
title: dataset.xlsx

description: Case data
DOI: 10.17632/fpfty8nn7j
title: ACHENY : A Standard Chenopodiaceae Image dataset for Deep Learning Models

description: This dataset includes 27,030 images of 30 species of Chenopod from their natural habitats and is called ACHENY (Autumn Chenopod of Yazd). From each class, different numbers of images (300-1461) of the entire plants and branches were captured in the natural habitat of the plant. In summary, out of 27,030 ACHENY images, 2,703 images were dropped for testing. 24,327 remaining images, in each folding, 4,867 images were used for validation and 19,460 images were used for training. The number of images from each class used for testing, validation, and training, was 10%, 18%, and 72% respectively. Images were collected from multiple Chenopod bushes, at different camera-to-target distances and from different viewpoints and angles. The test specimens were selected from bushes distinct from the training specimens. The reason is to ensure, as far as possible, that the train and test samples are distinct and do not share common images. The Chenopodiaceae plant is important vegetation around the world. Chenopodiaceae has various species that are ecologically and financially important. These species play a significant role in biodiversity. Biodiversity protection is very critical for the survival and sustainability of each ecosystem. Plants species recognition in their natural habitats is the first process in plants diversity protection. Automatic plant recognition by using image processing and computer vision can reduce the cost and time effectively. Modern computer vision approaches are based on deep learning techniques. In order to perform a deep learning algorithm, the existence of a standard dataset is very essential. Experimental Design, Materials, and Methods 1. Camera specification and setting Imaging is performed using two different cameras: a) Nikon COOLPIX S2800 digital camera with a 1: 1 (14.9-megapixel) 3864-by-3864 resolution. b) Samsung SM-J701F mobile with a 1: 1 (3.7-megapixel) 1920-by-1920 resolution. Both cameras were utilized for image collection in natural light during days. 2. Imaging time and conditions Studied Chenopodiaceae species often have flowers and fruits in the autumn, hence imaging is performed in November and December in their habitat. Outdoors and nature have many uncontrollable factors affecting images, such as light intensity throughout the day, wind blowing, cloudy skies or sunshine, atmospheric precipitation, foggy air, and so on. Imaging was performed at different times of sunny, cloudy and windy days in natural sunlight. Some other factors also affect acquired images, such as camera-to-target distances, viewing angles, location of light sources, and so on.
DOI: 10.17632/y3dvtxw52p
title: The impact of anger on translation decision-making

description: Data corresponding to article "Meaning no offense. The impact of anger on translation decision-making when dealing with offensive stereotypes" to be published in JosTrans (issue 40)
DOI: 10.6084/m9.figshare.28621517.v1
title: Data.xlsx

description: <b>Artificial Neural Network Model for Sustainable Lightweight Partition Walls</b>
DOI: 10.6084/m9.figshare.5121769.v1
title: Supplementary Material for: The Role of the Right Hemisphere for Processing of Social Interactions in Normal Adults Using Functional Magnetic Resonance Imaging

description: <i>Objective:</i> The main purpose of this study was to evaluate whole-brain and hemispheric activation in normal adult volunteers to videos depicting positive and negative social encounters. There are few studies that have utilized dynamic social stimuli to evaluate brain activation. <i>Method:</i> Twenty young adults viewed videotaped vignettes during an functional magnetic resonance imaging procedure. The vignettes included positive and negative interaction scenes of social encounters. <i>Results:</i> Significant right greater than left activation for positive and negative conditions was found for the social interaction videos in the amygdaloid complex, the inferior frontal gyrus, the fusiform gyrus, and the temporal gyri (p &lt; 0.0001). <i>Conclusion:</i> These findings support the hypothesis that the regions of the right hemisphere are more active in the interpretation of social information processing than those regions in the left hemisphere. This study is a first step in understanding processing of dynamic stimuli using ecologically appropriate stimuli that approximate the real-time social processing that is appropriate for use with populations who experience significant social problems.
DOI: 10.6084/m9.figshare.5822547.v1
title: Raw Data from Parasite-mediated microhabitat segregation between congeneric hosts

description: Raw Data associated with manuscript
DOI: 10.6084/m9.figshare.7262180.v1
title: Dataset Music Emotion Perception.xlsx

description: This dataset refers to the experiment reported in the paper titled "Effect of Long-Term Music Training on Emotion Perception From Drumming Improvisation". Columns from 7 to 12 contain the factors involved as predictors in the main analysis. Columns from 13 to 16 contain the response variables involved in the main analysis.
DOI: 10.17632/njtv6f584c
title: Input power supply of servers

description: Hourly sampled input power supply data of 2 servers.
DOI: 10.17632/zcbyxpssxx
title: Initial Differentiation of Cutaneous Sporotrichosis from Nontuberculous Mycobacterial Infections via Direct Microscopic Examination of Purulent Secretion Stained with Calcofluor White Staining : A Prospective Pilot Study

description: The nodule was punctured with a sterilized needle; Flowchart for laboratory diagnosis of subcutaneous infection
DOI: 10.6084/m9.figshare.21200485.v1
title: Figure 2

description: Raw and supporting data for Figure 2 in Genetic model of UBA5 deficiency highlights involvement of both peripheral and central nervous systems and identifies widespread mitochondrial pathology.
DOI: 10.6084/m9.figshare.7940726.v1
title: INTEROBSERVER VARIABILITY IN ULTRASOUND SCAN FOR SUSPECTED ACUTE APPENDICITIS

description: <b>BACKGROUND:</b> There is a global resolve among Clinicians towards adoption of imaging modalities in the evaluation of appendicitis because clinical algorithms have been disappointing. We sought to determine the authenticity of interobserver variability in ultrasound scan in a resource-constrained mission hospital settings, northwestern region of Cameroon. <b>METHODS:</b> In this study, we reviewed the standardized diagnostic approach in acute appendicitis and also performed prospective cross observational qualitative testing using sensitivity, specificity, positive predictive value, negative predictive value, and accuracy to determine the interobserver variability of ultrasonography using the medical database of the two Mission Hospitals, northwestern region of Cameroon from January 2012 to December 2016. A sequential non-randomized convenient sampling was used and data was analyzed using the Statistical Package for the Social Sciences version 22. <b>RESULTS: </b>A total of 103 patients who had pre-operative evaluation with Ultrasound scan and subsequently underwent surgery with histo-pathological examination of the removed appendix were analyzed. Their ages ranged from 15 to 65 years with a mean age of 30.6±18. There were 62 males and 41 females with a ratio of 1.5:1. Of the 103 patients, (n=90; 87.4%) cases were diagnosed as AA by histopathology while (n= 9; 8.7%) cases were negative. Ultrasound was positive in (n=75; 72.8%) cases, equivocal in (n=16; 15.5%), and negative in (n=10; 10.4%) cases. Sensitivity of ultrasound from this study when compared with ultrasound as the gold standard was 90.2% with a specificity of 85.6%; while Overall accuracy was 72.4%. Age and gender had no significant relationship with the accuracy of ultrasound in this study (p value=0.2 and 0.7 respectively). <b>CONCLUSION:</b> Ultrasound scan is more useful in detecting than in ruling out appendicitis. The radiological criteria for acute appendicitis, the accuracy of various imaging modalities and the limitations of the available research are described in this series. The interobserver variability in the ultrasonography evaluation of appendicitis is of significant impact in resource- limited surgical emergency settings like ours, which is a rural tropical population in the developing country.
DOI: 10.17632/fh8v788zw8
title: Growth and immune data of whiteleg shrimp

description: Data on growth, immune response and of whiteleg shrimp after 45 days of feeding trial with postbiotic supplemented feed. Shrimp growth was determined by Wf, Wg, SGR, and ADG parameters. Shrimp immune response was determined by hemocyte index (THC, GC, and HC) and activities of some immune enzymes (PO, SOD, and RES).
DOI: 10.6084/m9.figshare.16755205.v1
title: Mass Spec enrichment & significance table for OpenCell

description: This dataset is contains pre-calculated statistics (fold enrichment and student's t-test p-value) of bait and prey proteins in immuno-precipitation mass spectrometry (IPMS) experiments. The enrichment and p-value are used by an algorithm to call significant interactions, where we determine that a bait captured significantly enriched quantity of prey during the experiment.Please refer to our GitHub repo (2021-opencell-figures) for usage examples.<br>
DOI: 10.6084/m9.figshare.24356497.v1
title: PRSComp Disease/trait database

description: The Disease/trait database is constructed based on GWAS Catalog summary statistics data of genetic risk score of diseases and traits accessed in June 2022 [13]. GWAS Catalog records were curated to fulfill the following criteria: biallelic single nucleotide variant, SNP containing information on effect size, genotyped at 1KG3 and HGDP (see Reference genotyped dataset) and not ambiguous. From them, SNP with conditional effect were excluded. A threshold of P-value lower than 1x10<sup>-8</sup> for the associated SNP was also established. In addition, OR values were transformed to their corresponding ln(OR) and SNPs were coded by their risk allele.The curated set of GWAS Catalog records were grouped into a set of query entries by using GWAS Catalog fields: “DISEASE/TRAIT”, “MAPPED_TRAIT”, “STUDY ACCESSION”, ancestry population and the unit measure of the SNP effect, extracted from “95% CI(TEXT)” field to describe a specific disease/trait study. Each query entry was then assigned to one of these main categories: Cancer/Neoplasm (514 entries, 2,211 SNPs), Disorder/Diseases (2,320 entries, 18,085 SNPs), Processes/measurements (7,037 entries, 52,337 SNPs) and Trait/conditions (203 entries, 2,423 SNPs). Then, each category was subdivided into additional subcategories according to the “Experimental Factor Ontology” field assigned at GWAS Catalog and complemented by querying the Open Targets Platform to refine the phenotype under study if necessary.We have incorporated the GWASROC-ID (https://gwasrocs.ca) to those <i>PRScomp</i> entries included in the GWASROC database (matching at PUBMEDID and rsID).