cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2jpzbx8tm6.1
title: Dragon Fruit Maturity Detection and Quality Grading Dataset

description: (1) Everyone desires to procure top-notch, fresh fruits. In today's health-conscious society, individuals are meticulous about their dietary choices. They firmly believe that spoiled fruits can adversely affect their well-being. Consequently, the fruit market experiences a decline, leading to substantial economic implications. A key factor contributing to fruit spoilage is the manual process of gauging maturity in Bangladesh. Without being harvested at the appropriate time, fruits tend to decay over time. Accurate identification of ripe and unripe fruits is essential in determining the ideal harvest period. Dragon fruit stands as a significant, nutrient-rich crop widely cultivated across Bangladesh. It's estimated that considerable financial losses occur daily in Bangladesh due to the decay of dragon fruits. Therefore, an automated system for categorizing mature, immature, fresh, and defective dragon fruits is imperative to address this issue, benefiting fruit cultivators, vendors, and processing industries. (2) In this modern age, computer vision methods show significant promise in executing classification and detection assignments of this nature. (3) To create algorithms based on computer vision, a comprehensive dataset for Dragon Fruit is introduced, comprising both Maturity Detection and Quality Grading datasets. The Maturity Detection Dataset encompasses Immature and Mature Dragon Fruits, while the Quality Grading Dataset distinguishes Fresh from Defective Dragon Fruits. Classifications within this dataset were established in collaboration with an agricultural institute's domain expert. (4) A total of 3779 images of mature, immature, fresh, and defect dragon fruits were collected from the demonstration areas of three different locations in Bangladesh. Then from these original images, a total of 10,010 augmented images are produced by using flipping, width shifting, height shifting, brightening, rotating, shearing, and zooming techniques to increase the data number.
DOI: 10.17632/hss5zczhrk.1
title: A dataset of spatially resolved metabolomics on human kidney anatomic regions

description: Kidney cortex, medulla and papilla were dissected from the same donor and one 10-µm section for each tissue was selected for MALDI-IMS analysis. Data acquisition was performed with the positive ion mode at a pixel size of 10 × 10 µm2 over m/z range 50 – 1500. The matrix used was 2,5-DHB in 90% acetonitrile with 0.1% trifluoroacetic acid. Matrix application was performed with the HTX M5 Sprayer and data acquisition was performed on the timsTOF fleX MALDI-2 instrument. Data were uploaded to METASPACE for annotation with the CoreMetabolome database (https://metaspace2020.eu/project/human_kidney_region). Downstream analysis was performed with our recently described package MALDIpy.

For each sample, the raw matrix of spatially resolved metabolomics data, with false discovery rate (FDR) &lt; 20% and with total ion count (TIC) normalization, is presented (compressed in a .zip file), where each row indicates a feature (annotation with the CoreMetabolome database v3) and each column indicates a x/y coordinate pair. Researchers can also export customized data matrices (e.g., choosing different FDR thresholds or no TIC normalization) through the METASPACE browser with the link provided above.

Feature annotations are presented in a spreadsheet (.xlsx file), which describes metabolite species detected in each sample, including their m/z ratios, chemical formulas, ion adducts and molecule identities. Table 1 summarizes the number of detected features in each MALDI-IMS sample.

A raw Anndata (.h5ad file) for merged three MALDI-IMS data matrices is presented, containing a total of 370,662 metabolomes (i.e., 10 × 10 µm2 pixels) and 562 features. Cortex, medulla and papilla samples contain 177,870, 92,120 and 100,672 metabolomes, respectively. This raw Anndata contains significant matrix background and low-quality metabolomes which can be removed through standard quality control pipeline.

A processed Anndata (.h5ad file) is presented, containing a total of 170,459 metabolomes and 562 features. Cortex, medulla and papilla samples have 79,814, 49,771 and 40,874 metabolomes included in this processed data, respectively. All metabolomes in this processed file have a minimum count number of 40,000 and a minimum feature number of 30 detected. Other quality control procedures, including removal of matrix background observations and low-quality metabolomes, were performed. MALDIpy-based downstream data processing, multi-sample integration and dimensional reduction were also performed to generate this data. A total of 16 clusters were identified in Leiden clustering analysis. Cluster identities and anatomic region origins are included in the Anndata.obs columns.
DOI: 10.17632/sw9rrsr3rt.1
title: Dataset of Chinese listed firms' internationalization

description: This dataset contains raw data on the internationalization of Chinese multinational enterprises (CMNEs') listed on the Shenzhen and Shanghai stock exchanges.  we normalize the names of subsidiaries in the subsidiaries list obtained from CSMAR by manually collecting data from listed firms' annual reports and websites. Based on this accurate list of firms’ subsidiaries, we then calculate variables related to firms’ internationalization.
DOI: 10.17632/s49c7zrd3x.1
title: Postnatal depression, infant sex, and birth complications

description: Data used in the analysis presented in Myers, S. and Johns, S.E. (2019). Male infants and birth complications are associated with increased incidence of postnatal depression. Social Science & Medicine 220: 56-64. The data reflects the complete reproductive histories of post-menopausal women collected by retrospective survey. Respondents reported details about every birth they had experienced and were assessed on a number of demographic and psychological measures. Valid responses from 306 women were received. Most women did the majority of their childrearing in the UK (74.7%), followed by the United States (12.6%), and the rest of the World (12.7%) - this data is omitted to ensure participant anonymity. The spreadsheet contains a guide to the variable coding and data on the following variables: parity, birth type, infant sex, postnatal depression, infant death, infant adoption, maternal depression-anxiety-stress, birth complications, current depression, socioeconomic status during childbearing years, postnatal social support, year of mother's birth. For more details regarding data collection and the variables measured see Myers, S. and Johns, S.E. (2019).
DOI: 10.17632/sp5d3mywx3.1
title: Green Strategy Dataset (1992-2020)

description: The Green Strategy research & publication dataset, which was indexed by Scopus from 1992 to 2020. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID
DOI: 10.17632/swyzkdgxk7.1
title: Data for: The Phenomenon of Conflict: In Search of a Unified Theory for Effective Management

description: The article contains an analysis of the scientific prerequisites for the development of the conflictological paradigm of social knowledge contained in various methodological and theoretical approaches to understanding the conflict as a social phenomenon. Stages of growth of the theoretical potential of various sociological schools and directions, related to conflictological problems, are outlined. The preconditions for a theoretically justified possibility of forming an integral epistemological picture of conflictological knowledge, revealing the main methodological approaches to the construction of a unified theory of conflict are shown. The main problem associated with the formation of the conflictological paradigm of social knowledge is understood as a virtually unavailable single and integral theory of conflict that would satisfy the needs and requirements of all specialists engaged in its study. A unified conflict theory creates the basis for a new paradigm of the social sciences, allows different specialists to work in the same conceptual and instrumental field; unifies and simultaneously expands the problems of applied research, provides them with reliable methodological and theoretical prerequisites; greatly accelerates the process of theoretical and applied research on the theory and practice of conflict; radically changes the usual notions about the conflict as the least desirable, and its absence as the most desirable state; thereby freeing these views from common, but erroneous associations.
DOI: 10.17632/xcxryj5t4z.1
title: investigation of Alangium salvifolium (L.F.) wang leaf extracts

description: After collection of leaf, extraction was carried out, and the extracts were analyzed by spectrophotometric methods for phytochemical, antioxidant and anticholinesterase effects. Next, 7 compounds were selected from previous studies of the extracts that were used for chemoinformatic studies using PubChem server, RCSB Protein Data bank, BIOVIA Discovery Studio 21, Swiss PDB Viewer 4.1.0, CB-Dock2 server, Swiss ADME server, Pro Tox 3.0 server and PASS online server
DOI: 10.17632/gbyrkxhz8t.1
title: Data for "Persistence of the Armed Conflict in Colombia: an Agreement without Peace"

description: This data is related to the study "Persistence of the Armed Conflict in Colombia: an Agreement without Peace". This research analyses the armed conflict persistence in Colombia from 2008 to 2018 based on the viability hypothesis. To explore this phenomenon, a quantitative methodology is implemented in two steps. Firstly, non-parametric Kaplan-Meier functions and survival risk functions are developed as initial approximation. Subsequently, a Probit model with panel data is implemented and the covariates are grouped into four dimensions to determine the factors that affect the conflict persistence likelihood: opportunity, grievance, institutional and political. The main findings indicate that the viability hypothesis boosts the continuity of the armed conflict, which is enhanced and perpetuated by the viability and financial incentives from public revenues and natural resources, while the grievance, political fragmentation and institutional dimensions contribute to the opportunity structure in Collier that makes the conflict militarily and economically viable in Colombia.
DOI: 10.17632/k3xcndsswk.1
title: Animals, Food, and Technology (AFT) Survey 2017–2021

description: In October 2017, Sentience Institute (https://www.sentienceinstitute.org/) conducted a survey on attitudes towards animal farming and animal-free food with 1,094 US adults. The sample was recruited by Ipsos (https://www.ipsos.com/) based on census estimates from the American Community Survey (https://www.census.gov/programs-surveys/acs). The survey has been repeated, with some minor modifications in each year, in 2019, 2020 and 2021. The dataset available for download here is for all four years of the survey. Note that zip codes have been removed from the dataset to ensure participant anonymity. The survey and code associated with this dataset can be found at the following OSF link: https://osf.io/a4qjg/
DOI: 10.17632/rztknhvtzh.1
title: The Coercive Power of Manipulation in Propagandistic Discourses

description: The paper explores how manipulation, a fundamental part of human communication, is pivotal in political, religious, and advertising discourses. It discusses how both left and right political factions accuse each other of manipulating public opinion. The hypothesis posits that manipulation plays a coercive role in communication, particularly through propaganda, which is a communicative phenomenon driven by power entities seeking dominance. Propaganda is universal and transhistorical, reflecting the consistent intention of power. The study highlights how manipulation, as defined by linguist Teun van Dijk, involves the abuse of power to influence others detrimentally. The paper explains that propaganda and manipulation are intertwined, with the former being the message's content and the latter its expression. The text also examines the structure of manipulative discourses, emphasizing victimization and the identification of enemies. It contrasts constructive propaganda, which allows for public comparison and reasoning, with negative propaganda in totalitarian regimes, which suppresses opposing views to maintain control. Examples from various political leaders illustrate these dynamics. The study concludes that manipulation is central to propaganda, with coercion and subjugation as its bases, crucial for achieving power and control.
DOI: 10.17632/bpnpc5vyjv.1
title: Article

description: Data on Effect of Variety, Seedling Transplanting Age and Nitrogen Fertilizer Rates on Growth Performance of Rice in Southern Guinea Savannah, Nigeria
DOI: 10.17632/vs44v8r3nf.1
title: Dataset of handwritten school essays in Russian

description: Supplementary material for the article "Near-duplicate handwritten document detection without text recognition"
DOI: 10.17632/h8k5ghvhgh.1
title: A survey dataset on the perception of public-sector corruption in Mauritius and a framework analysis of corruption court cases

description: Two datasets comprising a survey dataset and a Content Analysis of court judgments on public corruption in Mauritius are provided. The data have been processed and analysed in the context of a study which sought to answer the following two research questions: A. How do citizens of Mauritius assess the effectiveness of the national anticorruption agency in fighting public-sector corruption? B. How are alleged corruption offences by public officials, under the Prevention of Corruption Act 2002 (PoCA), resolved by the courts of law? A questionnaire was developed and administered on a random sample of 600 persons to gauge public opinion on the perceived seriousness of the phenomenon of public-sector corruption and the perceived effectiveness of the Independent Commission against Corruption(ICAC) in fighting public corruption. After piloting the questionnaires on 20 persons and testing for validity and reliability, two research assistants were recruited and trained to administer the questionnaires. The exercise was carried out from 3 September 2018 to 12 April 2019 and data was collected using a five-point Likert scale. Out of 600 persons, who were randomly selected to represent the Mauritian population, 396 valid responses were obtained. In the first instance, the survey data were analysed and specific responses were then cross-validated against an analysis of court judgments to find out whether or not the respondents’ perception of the prosecutorial efficacy of the ICAC was justified. The survey findings reveal that citizens have a negative opinion on ICAC’s effectiveness and this perception is justified and validated by the content analysis exercise, to confirm poor prosecutorial performance. The study seeks to sensitise decision-makers on the need to instil public trust by clarifying specific provisions of the anticorruption legislation and adopting a proactive approach by setting up an integrity system within public organisations to address public corruption. The survey questionnaire, survey data and the data used in the inferential analysis are provided.
DOI: 10.17632/bwh3zbpkpv.1
title: Dataset for Crop Pest and Disease Detection

description: The application of Artificial Intelligence (AI) has been evident in the agricultural sector recently. The main goal of AI in agriculture is to improve crop yield, control crop pests/diseases, and reduce cost. The agricultural sector in developing countries faces severe in the form of disease and pest infestation, the knowledge gap between farmers and technology, and a lack of storage facilities, among others. To help address some of these challenges, this work presents crop pests/disease datasets sourced from local farms in Ghana. The dataset is presented in two folds; the raw images which consists of 24,881 images ( 6,549-Cashew, 7,508-Cassava, 5,389-Maize, and 5,435-Tomato) and augmented images which is further split into train and test set consists of 102,976 images (25,811-Cashew, 26,330-Cassava, 23,657-Maize, and 27,178-Tomato), categorized into 22 classes. All images are de-identified, validated by expert plant virologists, and freely available for use by the research community.
DOI: 10.17632/443cgsp6pf.1
title: Data for: The Cost of Gendered Attitudes on a Female Candidate: Evidence from Google Trends

description: Data used to investigate the role of gendered attitudes as a determinant of the vote in the 2016 US presidential election. The file includes data for proxies of negative attitudes towards women, elaborated with Google query data and survey-based data, and data for other variables that are known to determine vote, such as home state, unemployment rates and demographic variables, all at media market level.
DOI: 10.17632/896hmws8tc.1
title: Exploring the Affinity and Selectivity of Sedimentary Mackinawite (FeS) Towards Natural Organic Matter

description: This study aimed at studying the interactions between iron sulfides and organic carbon in hypoxic to anoxic sediments, focusing on St. Lawrence Estuary. The data provided here discussed the concentration profiles of different species in sediments pore waters sampled from different stations of St. Lawrence Estuary and Gulf. The capacity of synthetic iron sulfide toward sorption, here refers to adsorption and coprecipitation processes, was assessed through analyzing the thermodynamic isotherms after reaching the equilibrium in the presence of different concentrations of organic matter. The organic matter used in this study were extracted from different natural aquatic and terrestrial sources including plankton, corn, and soil .The effect of the organic matter sorption on the iron sulfide morphology was investigated through scanning electron microscopy. The colocalization between organic matter and iron sulfide was studied via synchrotron scanning transmission X-ray microscopy (STXM) coupled to near-edge X-ray absorption fine-edge structure (NEXAFS) spectroscopy revealed strong interactions between Fe-S minerals and NOM, specifically NOM extracted from plankton.
DOI: 10.17632/nh4gp3ztst.1
title: Research data,"Factors associated with fatal commercial aviation fixed-wing aircraft accidents in Indonesia (2007-2018)."

description: SPSS Clean Data after exclusion (52 Samples) accident report.
DOI: 10.17632/sbbpzxw9v4.1
title: Rail-Intrusion-Detection-2023

description: Railroad obstacle intrusion can significantly threaten rail safety operations, especially with rapidly developed high-speed railways. This file presents a developed method that can detect objects with the state-of-the-art YOLOv5 model and extract the track area by the improved-railway-detection method.
DOI: 10.17632/w3fg8jjmzr.1
title: Guava Fruit  Dataset for Classification 

description: The Data includes three  different types of guava fruit images along with maturity levels. The types are Local Sindhi, Thadhrami and Riyali. Each type consist on three maturity classes like green, mature green and ripe.
DOI: 10.17632/5ck5zz6f2c.1
title: OAHEGA : EMOTION RECOGNITION DATASET

description: The dataset consists of 6 distinct emotions : Happy, Angry, Sad, Neutral, Surprise and Ahegao. Images are RGB and presented as cropped faces with corresponding emotions. The images were collected by scrapping social nets as facebook and instagram, scrapping youtube videos and already available datasets as IMDB and AffectNet.
DOI: 10.17632/fgrsd7sb8x.1
title: Artificial Intelligence Database

description: This data took Listed Companies in China's Shanghai and Shenzhen A-share Markets as the research objects, and the sample period was from 2007 to 2022. the data were screened to some extent: ①ST and * ST enterprises were excluded; ②Excluding financial insurance and real estate enterprises; ③Information transmission, software and information technology service enterprises were excluded; ④Excluding enterprises in the scientific research and technical service industries; ⑤Weeded out companies with significant missing key data. Then all continuous variables were then subjected to 1% and 99% quantile tail-reduction. The enterprise-level financial data used in this paper were all from the CSMAR database, and the annual reports of listed companies were from the Sina financial website.
Based on the data of Shanghai and Shenzhen A-share listed companies in China from 2007 to 2022, this paper found that artificial intelligence significantly promoted the improvement of enterprise resilience, and the conclusion remained valid after considering the endogeneity problem and various robustness tests; At the same time, artificial intelligence has also promoted the high-quality development of enterprises. From the perspective of internal mechanism, artificial intelligence improves the degree of enterprise specialization, expands the boundaries of enterprise innovation, and thus improves organizational resilience; Heterogeneity analysis found that for enterprises with a high degree of digital transformation and large enterprises, the role of artificial intelligence in improving enterprise resilience is relatively obvious. This study has important implications for using AI to enable enterprises to enhance resilience and achieve high-quality development.
DOI: 10.17632/2zgppyr2rr.1
title: Dynamic CD8+ T cell responses to cancer immunotherapy in human regional lymph nodes are disrupted in metastatic lymph nodes

description: Data related to the paper: "Dynamic CD8+ T cell responses to cancer immunotherapy in human regional lymph nodes are disrupted in metastatic lymph nodes," Cell (2023)
DOI: 10.17632/mscd3thwyn.1
title: MX2 forms nucleoporin-comprising cytoplasmic biomolecular condensates that lure viral capsids

description: Source data (numerical, uncropped immunoblots, and imaging data) for main and supplementary figures. Source data (ZEN files) for the live cell imaging experiments are not provided due to size limitations but are available upon request from the lead contact.
DOI: 10.17632/8wh2bv8fhy
title: Data for: On the distribution of 230Th and 231Pa in the Indian Ocean

description: Compilation of published 230Th and 231Pa data from sediments and the water column in the Indian Ocean.
DOI: 10.17632/y9vf6nh637.1
title: Implication of Video Advertising on Shifting Customer Behavior Post Pandemic Covid

description: This is the raw data of Lisrel Apps, consist of Digital Video Advertising, Sensory, Informativeness, Entertainment, Presence, and Customer Trust factors, used in the research.
DOI: 10.17632/6f2cv54ym8.3
title: A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development

description: We performed in-situ tensile tests on two carbon fibre/epoxy composites with continuous scanning using synchrotron computed tomography (CT). Both composites were cross-ply laminates, and two specimens were tested for each composite. The voxel size was sufficiently small to recognize individual fibres and fibre breaks. For each test, 16-19 volumes were reconstructed, cropped down to the 0° plies and analysed to track fibre break and cluster development. This dataset provides the last CT volume before failure for each of the four specimens as well as the individual fibre break locations in all reconstructed volumes. These data are then plotted against predictions from six state-of-the-art strength models. The target is that these data become a benchmark for the development of new models, inspiring researchers to set up refined experiments and develop improved models.