cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2py5gb6xh7
title: Hate speech driven emotion recognition dataset for Bangla text

description: Hate speech detection and emotion recognition are emerging research fields for Natural Language Processing (NLP). The text that expresses hate speech also convey some emotion. Hence, hate speech and emotion recognition are related research areas. Therefore, attention is necessary to combine both fields in the same research. With this motivation, a multilevel dataset for natural Bangla text is proposed for Bangla hate speech and emotion recognition. The dataset contains 16407 statements collected from natural comments and categorized into two labels. Firstly, it is categorized as either hate or non-hate. Then, each category is further divided into three emotions: happy, sad, and angry. The dataset is validated with Cohen’s Kappa and Fliess’ Kappa measures that show good scores. The dataset can be applicable to machine learning and natural language processing tasks for Bangla text.
DOI: 10.17632/8srzm8z5vr
title: Mechanism of mineral adsorption enhancing+data

description: The main results of the research about "Mechanism of mineral adsorption enhancing the reduction of hexavalent chromium by natural organic matter"
DOI: 10.17632/b6k3p332dn
title: Psychometric Evaluation of the Turkish Committed Action Questionnaire-8 (T-CAQ-8)

description: Psychometric Evaluation of the Turkish Committed Action Questionnaire-8 (T-CAQ-8): Psychometric properties in Clinical and Non-Clinical Samples with anxiety disorder
DOI: 10.17632/p5znfxv6ty
title: High Impact Weather - Impact-based forecast and warning 2022 workshop data

description: The qualitative data describes people's experiences relating to challenges and solutions for developing and implementing impact-based forecasts and warnings, particularly for weather. Over 350 people from around the world registered for the three virtual workshops, held in 2022. The workshop sessions discussed challenges and solutions, and measures of successfulness. The research team found that challenges relate to three overarching themes: 1) data, methods and value, 2) connecting knowledge, and 3) stewardship. Within these are ten sub-themes. Examples of key research gaps are to develop evaluation methods to explore the value of multi-hazard IBFW, in terms of collating data at appropriate scales, and including avoided losses, behavioural responses, and unconventional observations. We need to explore the value of producing quantitative risk model-based approaches in comparison to cheaper and quicker qualitative approaches, as well as of dynamic exposure and vulnerability data sets, and tailored warnings. We must investigate how to effectively communicate uncertainty in IBFW, and explore the governance of underpinning data. See Potter et al. (submitted to IJDRR) for further details.
DOI: 10.6084/m9.figshare.25858012.v1
title: Supplementary Material for: Unilateral anterior spinal artery syndrome following spinal anesthesia for caesarian section: a case report

description: Background: Spinal cord infarction is a rare but serious neurologic complication of spinal anesthesia. Direct vessel injury, intraarterial anesthetic injection, and anesthetic-induced local hypotension are potential mechanisms of infarction during this procedure. The proximity of the artery of Adamkiewicz to the spinal levels used for spinal anesthesia may also play a role. This case of unilateral anterior spinal artery syndrome highlights the potential for an atypical pattern of injury and deficits due to the complexity of the spinal cord’s anterior circulation.

Case presentation: We present a 38-year-old female patient who presented with left lower extremity weakness, loss of temperature sensation, and urinary retention following spinal anesthesia for cesarian section. MRI of the spine demonstrated T2 hyperintensities in the left central spinal cord from T8 to the conus medullaris. A diagnosis of spinal cord infarction was made after lumbar puncture testing showed no evidence of inflammatory myelitis. The patient was treated with steroids empirically until lumbar puncture testing showed no inflammation. The patient was discharged on daily aspirin with persistent left lower extremity weakness and loss of temperature sensation. A plan for outpatient physical therapy was made for rehabilitation.

Conclusions: Awareness of the potential for spinal cord infarction secondary to spinal anesthesia must increase among anesthesiologists, obstetricians, and neurologists. The risk of systemic hypotension during and after spinal anesthesia is important to recognize for both primary and secondary prevention of this complication. The hyperacute onset of myelopathic symptoms should point neurologists to investigate an ischemic etiology in the proper clinical context.
DOI: 10.6084/m9.figshare.27165759.v2
title: Data associated with Stroud et al_Nature Communications: Character displacement in Florida Anolis lizards

description: Data associated with Stroud et al_Nature Communications: Character displacement in Florida Anolis lizards
DOI: 10.6084/m9.figshare.3524840.v1
title: Supplement 1. SAS program code to estimate regression slopes and then test equivalence, and Ambystoma data.

description: File List EquivSlope.sas -- EquivSlope.sas: SAS (SAS 1999) program code to estimate regression slopes, assuming ar(1) errors, then test equivalence. Ambystoma.txt -- Ambystoma data set. Description The file "EquivSlope.sas" is SAS (SAS 1999) program code to estimate regression slopes, assuming ar(1) errors, then test equivalence. The code was written for SAS version 8.2. It produces identical results in SAS version 9.0. Comments are the text surrounded by /* and */. The first data step (data trend;) reads the raw data and produces a SAS data set with one observation per species and year. The proc mixed step estimates the regression slope for a log-linear model with ar(1), i.e., autocorrelated at lag 1, errors. Parameter estimates are stored in the data set named parms. The slopes are identified as effect = ‘year’. The second data step (data tests;) does the equivalence test calculations for the slope, using an equivalence interval of (-0.0346, 0.0346). LT is the <i>t</i> statistic for testing H0a (slope less than lower boundary). UT is the t statistic for testing H0b (slope greater than upper boundary). LP and UP are the corresponding <i>P</i> values. This information is saved in a text file (ests.txt) and a SAS data set. The final proc print step prints the equivalence test results. The file "Ambystoma.txt" is an <i>Ambystoma</i> data set. The first line is a header line with variable names. Subsequent lines contain the species (<i>A.</i> <i>talpoideum</i> or <i>A</i>. <i>tigrinum</i>), the year, and the count of breeding females.
DOI: 10.6084/m9.figshare.3526268.v1
title: Appendix B. Convex hull volumes calculated using trait subsets and 1og and global scaling.

description: Convex hull volumes calculated using trait subsets and 1og and global scaling.
DOI: 10.6084/m9.figshare.6469577.v2
title: Dataset: A Cross-Platform and Cross-Interaction Study of User Personality based on Images on Twitter and Flickr

description: This folder contains the following dataset: Crossed-Linked Flickr and Twitter dataset. Psycho-Flickr consists of a set of users who answered the BFI survey. We collected profile and up to 300 posted and liked pictures for each user. Please contact Christina Segalin (http://www.cristinasegalin.com/) for access to these labels.<br>Crossed-Linked Flickr and Twitter consists of a set of users with active accounts both on Flickr and Twitter. We used text mining approaches to predict personality traits for this set of users. We collected profile and up to 300 posted and liked picture for each user. <br>Twitter or Flickr user ids with their text-predicted/BFI survey Big-Five personality scores are presented.<br>Features extracted from profile images and averaged over posted and Liked Images are presented that include : Colors Features CNN Generic Features: 4096 dim penultimate layer features of VGG_Net CNN object and scene categories:VGG_Net prediction on 1000 objects and 365 scene categories Imagga tags<br>Big five personality traits are in this order:(ope: openness, con: conscientiousness, ext: extraversion, agr: agreeableness, and neu: neuroticism)<br><br>For more information/questions about the dataset, please contact Sharath Chandra (chandrasg.github.io)<br><br>If using this data set, please cite the following publication:<br>@inproceedings{guntuku2017studying, title={Cross-platform and cross-interaction study of user personalitybased on images on Twitter and Flickr }, author={Zahra Riahi Samani, Sharath Chandra Guntuku, Mohsen Ebrahimi Moghaddam, DanielPreotiuc-Pietro, Lyle H. Ungar}, booktitle={Plos One Submission}, pages={}, year={2018}, organization={}}<br><br><br>
DOI: 10.17632/dzccmchrtt
title: Dataset on the mechanical and physical characterization of the Ecuadorian Guadua angustifolia kunth bamboo culms belonging to “Caña Mansa” biotype

description: Raw data on the mechanical and physical properties of the Ecuadorian Guadua angustifolia kunth bamboo culms belonging to “Caña Mansa” biotype are presented. The repository is comprised of the experimental values obtained by compressive, shear, tensile and bending testing to compute the corresponding strengths, following the ISO 22157:2019 standard. Such properties were assessed over three sections of the culm height in dry conditions. Likewise, experimental measurements to calculate the density and moisture content of the specimens after mechanical testing are listed.
DOI: 10.17632/n4zwn47zw8
title: Data for: Do Impact Assessments Influence Transport Plans? The Case of Sweden

description: Correlation matrices
DOI: 10.6084/m9.figshare.28196177.v1
title: An integrated dataset of spatiotemporal and event data in elite soccer

description: Data driven research in soccer has gained increased interest over recent years. However, public data in that field is rare. This dataset contains seven matches of official match data from the German Bundesliga first and second division. To the best of our knowledge it is the first dataset of official position data from an elite soccer competition. It is also the first dataset that has integrated position and event data.
DOI: 10.6084/m9.figshare.830418.v1
title: Ancestral state reconstruction batch, tree and output files from BayesTraits

description: Ancestral state reconstruction batch, tree and output files from BayesTraits. Output files have been modified for viewing in Tracer 1.5, so that all settings and inputs for each run are approximately halfway down the file. Trees with branch lengths free to vary are found in file play6.tre, whilst ultrametric trees are in file play11.tre
DOI: 10.17632/zwgfyw33wx
title: Data for the music frog

description: Data for the music frog
DOI: 10.6084/m9.figshare.5661070.v3
title: Mossbridge's et al. 2012 meta-analysis update

description: New studies, database and analyses syntax related to the paper: "Duggan M and Tressoldi P. Predictive physiological anticipatory activity preceding seemingly unpredictable<br>stimuli: An update of Mossbridge et al’s meta-analysis [version 2; referees: 2 approved] F1000Research 2018, 7:407 (doi: <br>10.12688/f1000research.14330.2)
DOI: 10.17632/j3g5jt8kb4
title: Seasonal dynamics of hydrogen isotope fractionation in mangrove Aegiceras corniculatum lipids

description: This dataset includes the concentrations of n-alkanes and n-fatty acids, as well as the hydrogen and oxygen isotope compositions from various water sources in the mangrove species Aegiceras corniculatum. These water sources include surface water (SW), pore water (PW), xylem water (XW), and leaf water (LW). The dataset also highlights fractionation occurring at key physiological stages: infiltration between surface and pore water (αPW-SW), water uptake from pore water to xylem (αXW-PW), transpiration between leaf and xylem water (αLW-XW), and biosynthesis between mangrove lipids (n-fatty acids and n-alkanes) and leaf water (αLipid-LW). Additionally, it shows the net fractionation between mangrove lipids and pore water (αLipid-PW).
DOI: 10.6084/m9.figshare.24115374.v1
title: Plant RNA-Image Repository

description: The Plant RNA-Image Repository is a compiled database of plant images and omics data. The dataset contains images of four distinct plant maladies, including powdery mildew, rust, leaf spot, and blight, as well as gene expression and metabolite data. Using a high-resolution camera in a controlled environment at the facility of the various Agriculture Universities of the Khyber Pakhtunkhwa, Pakistan. We captured 26940 images of plants, where each class has different number of samples for each disease type. Each image was labelled with the disease type corresponding to it. The images were preprocessed by resizing them to 224x224 pixels and standardizing the pixel values. In addition to collecting images of the same plants, we also collected gene expression and metabolite data. We extracted RNA from the plant leaves using a commercial reagent and sequenced it on an Illumina HiSeq 4000 platform. The average length of the 100 million pairedend readings obtained was 150 base pairs. The unprocessed reads were trimmed with Trimmomatic and aligned with STAR against the reference genome. We counted the number of reads that mapped to each gene using featureCounts, and then identified differentially expressed genes between healthy and diseased plants using the DESeq2 package in R. Using gas chromatography-mass spectrometry (GC-MS), we gathered additional metabolite information. Using a methanol-water extraction protocol, we extracted metabolites from the plant leaves and analyzed the extracts using GC-MS.
DOI: 10.6084/m9.figshare.12601270.v2
title: Analysis of treatment cost for neuroblastoma to the family: a single-center cross-sectional study in China

description: Neuroblastoma (NB) is notorious in childhood cancer because of its high incidence and poor prognosis. The Children’s Oncology Group reported that the 3-year OS in the high-risk (HR) group is 50%, and the HR-NB with bone marrow metastasis in our center is 43.1%. Thousands of families in China suffer from the cost of NB, but the true costs of therapy are unknown; to date, no study has ever performed a detailed therapy costs analysis for NB. The objective of this study was to assess the economic burden of NB treatment in children to the family, to ultimately reduce related expenses for patients and promote the establishment of NB management policy. Data in this cross-sectional study were collected via questionnaires completed by parents at the outpatient clinic and was verified via a computer system. Therapy costs of children with NB of differing risks were analyzed through descriptive statistics (1 CNY ≈ 0.1412 USD). Median direct medical costs of low risk (LR), middle risk (MR), and HR NB during treatment were 180.0 (120.0, 300.0), 200.0 (166.0, 300.0), and 650.0 (415.5, 850.0) thousand Chinese yuan (CNY), respectively. Direct non-medical costs including transportation, food, and accommodation were 60.0 (37.0, 100.0), 80.0 (60.0, 120.0), and 100.0 (80.0, 157.5) thousand CNY in the LR, MR, and HR groups, respectively. Additionally, parents accrued work absences to attend treatment, and lost a total of 100.0 (50.0, 150.0) thousand CNY in indirect costs. Families whose children had relapsed or died were excluded from this analysis and therefore limited the conclusions drawn. Parents were asked to recall costs since initial diagnosis (1–6 years in the past), but this extended time period may have introduced recall bias. Direct non-medical and indirect costs play an important role in the total treatment costs of NB. Children with NB treated in local hospitals and followed up in hospital specialized in childhood oncology may save many unnecessary expenses. China's healthcare system should establish mechanisms and provide financial support for children with NB.
DOI: 10.6084/m9.figshare.13056188.v1
title: Online data: Mechanisms of collision recovery in flying beetles and flapping-wing robots

description: Data for submission of "Mechanisms of collision recovery in flying beetles and flapping-wing robots". Authors: H. Vu Phan, Hoon C. Park.<br>Email: vu113@konkuk.ac.kr
DOI: 10.6084/m9.figshare.27965151.v1
title: Sarcasm Multimodal Dataset

description: Sarcasm detection is a major challenge in data analysis as it involves complex textual and visual elements. This study builds a multimodal dataset of sarcasm from the Twitter (X) platform, which includes text, images, and a combination of both. The dataset consists of eight main columns, including original text, clean text, text in images, visual elements, and final labels. Labels were manually assigned by four annotators using a binary scheme, with 0 for non-sarcasm and 1 for sarcasm. Dataset validation was conducted using Cohen's Kappa to measure consistency between annotators. The validation results showed an average Kappa value of 0.89, with a high of 0.95 and a low of 0.84, reflecting a substantial to near-perfect level of agreement. This process ensures the reliability of the dataset with minimal noise. This dataset is designed to support the development of machine learning and deep learning-based sarcasm detection models. With a combination of textual and visual elements, and rigorous validation, it offers a solid foundation for the exploration of cross-modality interactions and the development of intelligent applications, such as sentiment analysis and multimodal classification. This dataset contributes significantly to supporting research in the field of sarcasm analysis and artificial intelligence technologies.
DOI: 10.6084/m9.figshare.28502060.v1
title: Cannabis and IBD data

description: Data on beliefs and use of cannabis by patients with inflammatory bowel disease
DOI: 10.6084/m9.figshare.19027712.v1
title: Dataset DENV&CHIKV&SARS y2022m01 [56]

description: <br><b>Detection of SARS-CoV-2 antibodies in febrile patients from an endemic region of dengue and chikungunya in Peru</b><b> </b>ABSTRACT Introduction The rapid expansion of the novel SARS-CoV-2 virus has raised serious public health concerns due to the possibility of misdiagnosis in regions where arboviral diseases are endemic. We performed the first study in northern Peru to describe the detection of SARS-CoV-2 IgM antibodies in febrile patients with a suspected diagnosis of dengue and chikungunya fever. Materials and Methods A consecutive cross-sectional study was performed in febrile patients attending primary healthcare centers from April 2020 through March 2021. Patients enrolled underwent serum sample collection for the molecular and serological detection of DENV and CHIKV. Also, serological detection of IgM antibodies against SARS-CoV-2 was performed. Results 464 patients were included during the study period, of which (40.51%) were positive for one pathogen, meanwhile (6.90%) presented co-infections between 2 or more pathogens. The majority of patients with monoinfections were positive for SARS-CoV-2 IgM with (73.40%), followed by DENV 18.09% and CHIKV (8.51%). The most frequent co-infection was DENV + SARS-CoV-2 with (65.63%), followed by DENV + CHIKV and DENV + CHIKV + SARS-CoV-2, both with (12.50%). The presence of polyarthralgias in hands (43.75%, p&lt;0.01) and feet (31.25%, p=0.05) were more frequently reported in patients with CHIKV monoinfection. Also, conjunctivitis was more common in patients positive for SARS-CoV-2 IgM (11.45%, p&lt;0.01). The rest of the symptoms were similar among all the study groups. Conclusion SARS-CoV-2 IgM antibodies were frequently detected in acute sera from febrile patients with a clinical suspicion of arboviral disease. The presence of polyarthralgias in hands and feet may be suggestive of CHIKV infection. These results reaffirm the need to consider SARS-CoV-2 infection as a main differential diagnosis of acute febrile illness in arboviruses endemic areas, as well as to consider co-infections between these pathogens.
DOI: 10.6084/m9.figshare.22580263.v2
title: Dental Panoramic Scan

description: Introduction <br> The dataset consists of 1488 orthopantomogram (OPG) images collected from a dental clinic in India. The images were taken using a digital OPG machine, which captures a panoramic view of the patient's teeth and jaws. The dataset does not contain any personal information about the patients, as it has been deleted for privacy reasons. Additionally, the data does not have any labels or annotations. <br> Data Collection <br> The OPG images were collected over a period of six months from patients who visited the dental clinic for routine check-ups or specific dental problems. The images were captured using a digital OPG machine that uses X-rays to create a panoramic view of the patient's teeth and jaws. The machine is designed to capture high-quality images with minimal radiation exposure to the patient. <br> Data Preprocessing <br> Before being added to the dataset, each OPG image was checked for quality and clarity. Images that were blurry or had artifacts were removed from the dataset. Additionally, all personal information about the patients was deleted from the images to ensure privacy. <br> Data Description <br> The dataset contains 1488 OPG images in JPEG format. Each image has a resolution of 2400 x 1200 pixels and is grayscale. The size of each image ranges from 900 KB to 1.1 MB, depending on its complexity. <br> The OPG images in this dataset show different types of dental problems such as cavities, gum disease, impacted teeth, and fractures. Some images also show normal healthy teeth and jaws.
DOI: 10.6084/m9.figshare.25557906.v1
title: Data_file_5.xlsx

description: Whole genome statistics of <i>Bacillus spizizenii</i> (kcgeb_sc)
DOI: 10.6084/m9.figshare.8076116.v2
title: Matrix Linear Discriminant Analysis

description: We propose a novel linear discriminant analysis (LDA) approach for the classification of high-dimensional matrix-valued data that commonly arises from imaging studies. Motivated by the equivalence of the conventional LDA and the ordinary least squares, we consider an efficient nuclear norm penalized regression that encourages a low-rank structure. Theoretical properties including a nonasymptotic risk bound and a rank consistency result are established. Simulation studies and an application to electroencephalography data show the superior performance of the proposed method over the existing approaches.