cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fc7nf683r6.1
title: A CORPUS ANALYSIS OF CHANGES IN THE USE OF BRITISH AND AMERICAN ENGLISH MODALS AND SEMI-MODALS

description: This data applied during two ways; the first one is to test the modal replacement hypothesis proposed by Smith (2003) and discussed by Leech (2003), on the basis of data from the Hansard Corpus (THC- 1.6 billion words, 1800-2000) and the Corpus of Historical American English (COHA - 400 million words, 1810-2000). The second purpose of the study was to draw upon time series models to generate insights about how modal and semi-modal frequencies have changed over time. Cumulatively, these two forms of analysis addressed an acknowledged gap in the current literature on modal and semi-modal frequency change, namely the question of whether modals are being replaced by semi-modals.
DOI: 10.17632/gj654hbpyx.1
title: Data for: Why Do Countries Emulate Each Others' Policies? A Global Study of Renewable Energy Policy Diffusion

description: The files in this dataset provide replication data for Why Do Countries Emulate Each Others' Policies? A Global Study of Renewable Energy Policy Diffusion. Files include the replication dataset, do files used to prepare data for analysis and to run analysis used in the paper, and a codebook of variable names used in the final analysis.
DOI: 10.17632/k82x7czd87.1
title: Three Level Fully Annotated Car Reviews

description: The total 1000 reviews related to hybrid cars in the form of text reviews are extracted from the top car selling and purchasing websites. The dataset presents the customers sentiments in the form of reviews related to hybrid cars. Various aspects are taken into consideration while annotating the reviews such as, driving, performance, comfort, safety features, interior, exterior and accessories. The annotation of data is done at three levels by three annotators i.e., 1) overall polarity of a review, 2) segregation of the sentence term in which aspect is discussed, 3) polarity of the discussed aspect
DOI: 10.17632/3ggyvkjz95.1
title: HDECAY: Twenty++ years after

description: The program HDECAY determines the partial decay widths and branching ratios of the Higgs bosons within the Standard Model with three and four generations of fermions, including the case when the Higgs couplings are rescaled, a general two-Higgs doublet model where the Higgs sector is extended and incorporates five physical states and its most studied incarnation, the minimal supersymmetric Standard Model (MSSM) with real soft SUSY-breaking parameters. The program addresses all decay channels including the dominant higher-order effects such as radiative corrections and multi-body channels. Since the first launch of the program, more than twenty years ago, important aspects and new ingredients have been incorporated. In this update of the program description, some of the developments are summarized while others are discussed in some detail.
DOI: 10.17632/3pwjjz6xtt.2
title: Data for "Diagnosing atmospheric heating rate changes using radiative kernels"

description: This contains the monthly heating rate kernel based on ERA5 and data for "Diagnosing atmospheric heating rate changes using radiative kernels". Please find more details in README file.
DOI: 10.17632/s42kkc5hsw.1
title: Datasets

description: METR-LA, PeMSD3, PeMSD4, and PeMSD7
DOI: 10.17632/73x6vdd8bh.2
title: Datasets of Virtual Classrooms for Predicting Students' Performance (University of Extremadura, Spain)

description: We built eight datasets to perform experiments about predicting students' performance. These datasets were prepared from virtual classrooms of a series of university-level courses, whose data were adequately filtered to remove atypical cases. The purpose of preparing this suite of datasets was having different cases for different academic contexts: number of students and tasks, degree levels (first, middle or final years), academic nature (theoretical or practical contents), etc. This heterogeneous suite also contributes to considering a different number of latent factors. The virtual classrooms of the online campus of the University of Extremadura (UEX) provided the necessary data for the datasets. The datasets are identified by the number of students (S), number of academic/assessed tasks (I), scores/performance matrix (P), known (D^{knw}), unknown (D^{unk}), training (D^{train}) and test (D^{test}) performances. The datasets are provided as Matlab .mat files. Also, they are described in Microsoft Excel sheets.
DOI: 10.17632/47vh45h6f3.2
title: Data for: Seismic demand amplification in earth dam by dynamic dam-reservoir interactions (DRI) under near fault pulse type ground motions

description: The dataset contains files bearing seismic response data and other allied data used to investigate the seismic demand amplification in an earth dam due to pulse-type ground motions considering dynamic dam-reservoir interactions. The data is obtained from the non-linear finite element analyses of the dam subjected to various pulse and non-pulse type earthquake ground motions. The finite element analysis is performed using the commercially available finite element code ABAQUS (Version 2020).
DOI: 10.17632/fdhyg8kz8m.1
title: Replication data and code for "The Laffer Curve for Rules of Origin" by Head, Mayer, and Melitz

description: This site contains data and code to replicate the tables and figures in JIE publication "The Laffer Curve for Rules of Origin" by Head, Mayer, and Melitz. Some of the data used to compute the tau index is confidential and cannot be shared with corporate names attached. That data set has been anonymized for sharing purposes. The other main source of data are reports from the American Automobile Labelling Act. This data is publicly available on the Web from the US government. The version we post here is extracted from the PDF reports for multiple years.
DOI: 10.17632/5dbht54kw7.1
title: Classification of pet dog skin diseases using deep learning with images captured from multispectral imaging device

description: The skin of 95 pet dogs (23 with bacterial dermatosis, 19 with fungal infections, 23 with hypersensitivity allergic dermatosis, and 30 healthy) who visited the hospital with their owner for three types of spontaneously occurring skin diseases were imaged. The skin images of pet dogs were taken after obtaining written consent from dog owner. These image data set was used to build dog skin disease classification model using four convolution neural networks.
DOI: 10.17632/jgdt3nxm8d.1
title: Evaluation of a virtual basic dermatology curriculum for dermoscopy using the Triage Amalgamated Dermoscopic Algorithm (TADA) for novice dermoscopists.

description: Supplemental Diagrams and Video.
DOI: 10.17632/ms5mc85pwp.3
title: Raw data for annual plantation yield, annual LUC emissions, and mill operating capacity

description: Raw data for annual plantation yield, annual LUC emissions, and mill operating capacity is presenetd
DOI: 10.17632/2hphg6tcgc.1
title: Predictors of Severity in Paradoxical Psoriasis from Biologic Therapies: A Systematic Review

description: Supplementary material - PRISMA flow chart
DOI: 10.17632/3tsx8x3kc8.1
title: A Decision Model for Programming Language Ecosystem Selection

description: In this page, we report the captured knowledge from experts interviews and document analysis.
DOI: 10.17632/pxjmjyfdh2.2
title: The RHMCD-20 datasets for Depression and Mental Health Data Analysis with Machine Learning

description: the RHMCD-20 dataset, we took care to include information from a wide range of sources, including teenagers from Bangladesh, college students, housewives, professionals from
businesses and corporations, and other people.This is survey data for Depression and Mental Health Data Analysis.
Survey questions : 
Age: Represents the age of the participants.
Gender: Indicates the gender of the participants.
Occupation: Represents the participant's occupations.
Days_Indoors :Indicates the number of days the participant has not been out of the house
Growing_Stress: Indicates the participant's stress is increasing day by day (Yes/No).
Quarantine_Frustration: Frustrations in the first two weeks of quarantine (Yes/Maybe/No).
Changes_Habits: Represents major changes in eating habits and sleeping (Yes/Maybe/No).
Mental_Health_History : A precedent of mental disorders in the previous generation (Yes/No).
Weight_Change :Highlights changes in body weight during quarantine (Yes/Maybe/No)
Mood_Swings: Represents extreme mood changes (Low/Medium/High).
Coping_Struggles: The inability to cope with daily problems or stress (Yes/Maybe/No).
Work_Interest :Represents whether the participant is losing interest in working (Yes/No).
Social_Weakness :Conveys feeling mentally weak when interacting with others (Yes/No).
DOI: 10.17632/d6rz6t9346.1
title: HS GoFundMe - Supplement

description: Supplemental file for manuscript entitled "Online crowdfunding for medical expenses related to hidradenitis suppurativa"
DOI: 10.17632/f8s8gjyyw6.1
title: A study of stem cell marker lineage marker gene expression and clonal expansion in TGFβR2iSMC-Apoe mice Chen et al. Related to Fig 4

description: Characterization of TGFβR2iSMC-Apoe-/- mice after 1 month of high cholesterol high fat by histology, imaging mass cytometry (IMC), histoCAT, CyTOF, and immunocytochemistry. Aortic smooth muscle cells from TGFβR2iSMC-Apoe-/- express stem cell markers (CD105, CD73, CD90, Sca-1, CD44), mesenchymal cell markers (Osteopontin, Aggrecan, Adiponectin). To show clonal origin of smooth muscle cell-derived mesenchymal cells in TGFβR2iSMC-Apoe mice-/-, we replaced mTmG reporter strain TGFβR2iSMC-Apoe mice generating Myh11CreERT2;Tgfbr2f/f;Apoe-/-;Confettif/f and Myh11CreERT2;Apoe-/-:Confettif/f (control) lines.
DOI: 10.17632/2x8xnfbsfd.2
title: Dataset of Concerns for Privacy Information Practices and Consumer Behavior in Online Market: A survey in Vietnam

description: This novel dataset provides valuable survey insights into privacy concerns, online trust, and purchase intentions among consumers in Vietnam's rapidly growing e-commerce market. With 467 randomized respondents, it explores perspectives on privacy aspects like data collection, secondary usage, access, and errors—and their impact on online consumer behavior.
DOI: 10.17632/7m58kxs742.1
title: IoT Vulnerability Dataset

description: The dataset uploaded here is generated in a realistic manner with IoT devices connected to the internet through router. By using well known ethical hacking tool Kali Linux is used for hacking the devices to generate network traffic of various attack network traffic. Wireshark software was used for capturing the data. All the PCAP files generated and their corresponding csv files have been uploaded here for the researchers in the field of IoT security.
DOI: 10.17632/k3t4nyfbtg.2
title: Organic fertilizer promotes soil organic carbon dataset

description: The dataset in this study is about the impact of partial substitution of organic fertilizers for chemical fertilizers on soil organic carbon. The dataset includes soil basic data, soil colloids scanning electron microscopy, X-ray photoelectron spectroscopy of soil organic carbon, and absorbance of soil functional groups.
DOI: 10.17632/kzc5bt9578.1
title: Augmented Reality and Its Relationship to Artificial Intelligence in Historical Studies

description: Augmented reality is one of the most prominent modern smart systems that emerged from the contemporary digital revolution. In our research, we will discuss the important data of this technology and its relationship to historical studies.The augmented reality system is nothing but a smart system supported by artificial intelligence. Here we will briefly explain how this technology works with historical studies in a simplified scientific manner enhanced with graphs and drawings.
DOI: 10.17632/4whpm32y47.6
title: Entity Resolution Benchmark Datasets

description: This collection of contains real and synthetic data benchmark datasets along with their complete golden standard (i.e., groundthruth of duplicate entities) for assessing the performance of various end-to-end ER workflows using JedAI.
DOI: 10.17632/ds4hwchkp7.3
title: Database of the 2023 seismic sequence recorded in Gorj area (Romania)

description: An intense seismic sequence occurred in 2023 in Gorj area (Romania), part of the Central Southern Carpathians seismic zone, having a doublet as main shocks. The first one, with a local magnitude of 5.2, was recorded on February 13 at 14:58:09 UTC, and the second one, with a local magnitude of 5.7, was recorded the next day at 13:16:52 UTC. The data was processed using recordings from the Romania Seismic Network [1] and AdriaArray Temporary Network [2, 3]. 
This database contains the parameters of the two main shocks and over 4000 aftershocks as recorded and located up to 31/12/2023.

The table includes a column which represents the number of seismic phases used to locate the event (Nph), a column that indicates the number of seismic stations used to locate the event (Nst), and a column that specifies the number of stations used in computing the local magnitude (ML) of the event (Nmg).
DOI: 10.17632/cy34mh68j9.4
title: Mexican Emotional Speech Database (MESD)

description: The Mexican Emotional Speech Database (MESD) provides single-word utterances for anger, disgust, fear, happiness, neutral, and sadness affective prosodies with Mexican cultural shaping. The MESD has been uttered by both adult and child non-professional actors: 3 female, 2 male, and 6 child voices are available (female mean age ± SD = 23.33 ± 1.53, male mean age ± SD = 24 ± 1.41, and children mean age ± SD = 9.83 ± 1.17). Words for emotional and neutral utterances come from two corpora: (corpus A) composed of nouns and adjectives that are repeated across emotional prosodies and types of voice (female, male, child), and (corpus B) which consists of words controlled for age-of-acquisition, frequency of use, familiarity, concreteness, valence, arousal, and discrete emotion dimensionality ratings. 

The audio recordings took place in a professional studio with the following materials: (1) a Sennheiser e835 microphone with a flat frequency response (100 Hz to 10 kHz), (2) a Focusrite Scarlett 2i4 audio interface connected to the microphone with an XLR cable and to the computer, and (3) the digital audio workstation REAPER (Rapid Environment for Audio Production, Engineering, and Recording). Audio files were stored as a sequence of 24-bit with a sample rate of 48000Hz. The amplitude of acoustic waveforms was rescaled between -1 and 1. 

Two speaker-embedded naturalness-reduced versions were created out of human emotional utterances for female voices from corpus B. Specifically, naturalness was progressively reduced from human voices to level 1 to level 2. In particular, duration and median pitch were edited on stressed syllables to reduce the difference between stressed and unstressed syllables. On whole utterances, F2/F1 and F3/F1 ratios were lowered by editing F2 and F3 frequencies. Intensity of harmonics 1 and 4 were also reduced. 

24 utterances per emotion are available for each type of voice, corpus, and level of naturalness. They are shared as audio files in WAV format. Please see README for audio files nomenclature explanation.  

The MESD seems to be the first set of single-word emotional utterances that includes both adult and child voices for the Mexican population. Additionally, the MESD provides naturalness-reduced versions of emotional utterances.
DOI: 10.15468/dl.43xah7
title: Occurrence Download

description: A dataset containing 1054 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Myotis nigricans (Schinz, 1821)"
 ]
}

 The dataset includes 1054 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009236-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gfpg6hxrvz.1
title: Optimizing Object Detection in Challenging Environments with Deep Convolutional Neural Networks

description: Object detection in challenging environments, such as low-light, cluttered, or dynamic conditions, remains a critical issue in computer vision. Deep Convolutional Neural Networks (DCNNs) have emerged as powerful tools for addressing these challenges due to their ability to learn hierarchical feature representations. This paper explores the optimization of object detection in such environments by leveraging advanced DCNN architectures, data augmentation techniques, and domain-specific pre-training. We propose an enhanced detection framework that integrates multi-scale feature extraction, transfer learning, and regularization methods to improve robustness against noise, occlusion, and lighting variations. Experimental results demonstrate significant improvements in detection accuracy across various challenging datasets, outperforming traditional methods. This study highlights the potential of DCNNs in real-world applications, such as autonomous driving, surveillance, and robotics, where object detection in difficult conditions is crucial.
DOI: 10.17632/bds4k576vk.1
title: Flowgen: Flowchart-based documentation for C + + codes

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract We present the Flowgen tool, which generates flowcharts from annotated C + + source code. The tool generates a set of interconnected high-level UML activity diagrams, one for each function or method in the C + + sources. It provides a simple and visual overview of complex implementations of numerical algorithms. Flowgen is complementary to the widely-used Doxygen documentation tool. The ultimate aim is to render complex C + + computer codes accessible, and to enhance collaboration between pro... Title of program: Flowgen Catalogue Id: AEXD_v1_0 Nature of problem To document visually the dynamic behavior of complex scientific algorithms coded in C++. Versions of this program held in the CPC repository in Mendeley Data AEXD_v1_0; Flowgen; 10.1016/j.cpc.2015.05.029
DOI: 10.17632/jc4df8srcb.2
title: Dataset Question Answering for Admission of Higher Education Institution

description: The data collection process commenced with web scraping of a selected higher education institution's website, collecting any data that relates to the admission topic of higher education institutions, during the period from July to September 2023. This resulted in a raw dataset primarily cantered around admission-related content. Subsequently, meticulous data cleaning and organization procedures were implemented to refine the dataset. The primary data, in its raw form before annotation into a question-and-answer format, was predominantly in the Indonesian language. Following this, a comprehensive annotation process was conducted to enrich the dataset with specific admission-related information, transforming it into secondary data. Both primary and secondary data predominantly remained in the Indonesian language. To enhance data quality, we added filters to remove or exclude: 1) data not in the Indonesian language, 2) data unrelated to the admission topic, and 3) redundant entries. This meticulous curation has culminated in the creation of a finalized dataset, meticulously prepared and now readily available for research and analysis in the domain of higher education admission.
DOI: 10.17632/777khxfw7c.1
title: weather dataset

description: weather dataset
DOI: 10.17632/5nsfj49rcc.2
title: Influence of Immigration on Unemployment Rate: Evidence from the UK

description:         This study uses the ARDL model and semi-macro data to conduct regression analysis on the relationship between immigrant share and unemployment rate and draws the following conclusions: First, overall, the increase of immigration will decrease the unemployment rate in the U.K. in the short-term; however, the long-term effect may be zero. The effect of immigration on the unemployment rate may vary subtly depending on the local economic development or population density. Specifically, in less economically developed or sparsely populated areas, an increase in the immigrant share may improve employment in the long term. Conversely, in regions with higher population density or RGDP, although immigration will improve employment in the short term, the long-term effects on employment are likely to be negative. 
        The uploaded zip file includes the raw data folder as well as the data files for analysis. After executing the latter CSV file named post_2021_7 into EViews 10, the overall regression analysis of immigrants on the unemployment rates can be obtained by following the steps of the panel ARDL approach. The results of the analysis of the impact of immigrants on the unemployment rates in areas with lower RGDP, the impact of immigrants on the unemployment rates in areas with higher RGDP, the impact of immigrants on the unemployment rates in areas with low population density and the impact of immigrants on the unemployment rates in areas with high population density can be obtained by using the files named post_2021_7_red_rgdp_1_2, post_2021_7_green_rgdp_1_2, post_2021_7_red_pop_1_2 and post_2021_7_green_pop_1_2, separately.
DOI: 10.17632/jpz52pm9sc.1
title: Side-scan sonar and water profiler data from Lago Grey

description: This is a data set published in the paper below. Sugiyama, S., Minowa, M., & Schaefer, M. (2019). Underwater ice terrace observed at the front of Glaciar Grey, a freshwater calving glacier in Patagonia. Geophysical Research Letters, 46. https://doi.org/10.1029/2018GL081441
DOI: 10.17632/6c9ctnn2dg.1
title: Integrated Hepatic Transcriptomics and Metabolomics Identify Pck1 as a Key Factor in the Broad Dysregulation Induced by Vehicle Pollutants

description: Differential gene expression of DE and DE+FA exposed mouse livers.
DOI: 10.17632/c8h2bggcj3.1
title: Hesperidin provides synergistic effect in conferring neuroprotection to rats maintained on a regimen of alternate day fasting

description: Background. Alternate day fasting (ADF) is a beneficial dietary intervention that reduces age- associated complications. Hesperidin is a potential antioxidant especially known for free radical scavenging ability. Oxidative damages are a major cause of neurological changes in brain that accelerates deteriorative effects leading to aging. In the current study, we aimed to investigate the role of hesperidin supplementation on neuroprotection conferred in terms of redox balance in rats that were maintained on an ADF regimen. Methods and Results. Middle aged male Wistar rats (Rattus Norvegicus) (12-15 months) were divided into four groups: Group I. Control; Group II. ADF; Group III. Hesperidin; Group IV. ADF+ Hes (maintained under ADF regimen and given hesperidin regularly). The number of rats maintained in each group is 6. We measured crucial biomarkers of antioxidant defense like FRAP, GSH, SOD, catalase, and oxidative stress MDA, PCO, AOPP, NO, inflammatory cytokine (IL-6 and TNF-α) and autophagy expression. The results provide evidence of a synergistic benefit obtained in crucial parameters of antioxidant defense including FRAP, GSH, SOD, catalase and autophagy expression (Beclin gene) alongwith decrease in MDA, PCO, AOPP, NO and inflammation markers. The activity of the mitochondrial electron transport chain complexes showed increased efficiency and the histopathological changes show well protected neurons and lesser neurodegeneration. Conclusion. The results support administration of hesperidin during ADF regimen to obtain additional benefits and protection from aging induced oxidative stress and to reduce the incidence of common metabolic morbidities like impaired glucose levels and attenuate redox imbalance thus conferring neuroprotective effects.