cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8b2wjbb2ym
title: A preprocessor for FORTRAN source code produced by reduce

description: Abstract For Estimating total cross sections and various spectra for complicated processes in high energy physics, the most time consuming part is numerical integration over the phase volume. When a FORTRAN source code for the integrand is produced by REDUCE, often it is not only too long but is not enough reduced to be optimized by a FORTRAN compiler. A program package called SPROC has been developed to convert FORTRAN source code to a more optimized form and to divide the code into subroutines whose... Title of program: SPROC Catalogue Id: ABLB_v1_0 Nature of problem In high energy physics the numerical integration package is used to obtain the cross section for the physical process of interest. FORTRAN source code for the integrand is sometimes generated by a symbolic manipulation system REDUCE. Such a source code often becomes too long for FORTRAN compilers to obtain high level optimization. Even when source code is optimized enough, CPU-time of calculating integration may be too large to execute. CPU-time of the numerical integration can be shortened by u ... Versions of this program held in the CPC repository in Mendeley Data ABLB_v1_0; SPROC; 10.1016/0010-4655(89)90073-8 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.19486928.v1
title: File_S6

description: preview
DOI: 10.6084/m9.figshare.26131900.v1
title: Raw Data File and Processed Data File

description: In an NP + AdvP construction that is asymmetrical in word order cross Chinese and English, “one step forward” corresponding to “向前(forward)一(one)步(step)”, asymmetrical performance is observed between translating it from English to Chinese compared to from Chinese to English by Chinese English learners. This current study then conducts an empirical experiment and statistical analysis based on six NP + AdjP/AdvP constructions of this kind, 1. confirming that Chinese English learners demonstrate much higher correctness rate and confidence in translating such constructions from English to Chinese compared to from Chinese to English and 2. revealing that the adoption of chunk strategy has no muted effect on this translation asymmetry. A model to account for this asymmetric performance is described. Highly relying on semantic trial and error parsing by Chinese English learners is recognized as a contributing factor. These findings highlight the potential for introducing novel parsing methods involving more syntactic processing, thereby enhancing translation levels for Chinese English learners, especially in Chinese-English translation.
DOI: 10.6084/m9.figshare.5480416.v1
title: Spectroscopic datasets used in the paper "Ordered Homogeneity Pursuit Lasso for Group Variable Selection with Applications to Spectroscopic Data"

description: The three real-world near infrared spectra datasets used in the method benchmark section of the paper "Ordered homogeneity pursuit lasso for group variable selection with applications to spectroscopic data" by Lin et al. (2017).<br>To cite the paper, please use:You-Wu Lin, Nan Xiao, Li-Li Wang, Chuan-Quan Li, and Qing-Song Xu (2017). Ordered homogeneity pursuit lasso for group variable selection with applications to spectroscopic data. <i>Chemometrics and Intelligent Laboratory Systems</i> 168, 62-71.<br>
DOI: 10.25452/figshare.plus.18470912.v4
title: A large and rich EEG dataset for modeling human visual object recognition

description: Dataset motivation and summaryThe human brain achieves visual object recognition through multiple stages of linear and nonlinear transformations operating at a millisecond scale. To predict and explain these rapid transformations, computational neuroscientists employ machine learning modeling techniques. However, state-of-the-art models require massive amounts of data to properly train, and to the present day there is a lack of vast brain datasets which extensively sample the temporal dynamics of visual object recognition. Here we collected a large and rich dataset of high temporal resolution EEG responses to images of objects on a natural background. This dataset includes 10 participants, each with 82,160 trials spanning 16,740 image conditions coming from the THINGS database. We release this dataset as a tool to foster research in visual neuroscience and computer vision.Useful materialAdditional dataset informationFor information regarding the experimental paradigm, the EEG recording protocol and the dataset validation through computational modeling analyses please refer to our paper.Additional dataset resourcesPlease visit the dataset page for the paper, dataset tutorial, code and more.OSFFor additional data and resources visit our OSF project, where you can find:A detailed description of the raw EEG data filesThe preprocessed EEG dataThe stimuli imagesThe EEG resting state dataCitationsIf you use any of our data, please cite our paper.
DOI: 10.6084/m9.figshare.1289807.v1
title: Images of Cresyl-violet stained coronal brain sections

description: Cresyl-violet stained coronal brain sections; all centers
DOI: 10.6084/m9.figshare.21203003.v2
title: Vector Supplementary Information

description: Supplementary information associated with the manuscript "Interactions between insect vectors and plant pathogens span the parasitism-mutualism continuum"
DOI: 10.6084/m9.figshare.3124915.v1
title: FGD Transcripts.zip

description: Transcripts of Focus Group Discussions focusing on obesity risk perceptions and weight loss among black obese and non-obese African men and women.
DOI: 10.6084/m9.figshare.25998952.v1
title: NJmat-dataimbal

description: machine learning spftware for material science.
DOI: 10.6084/m9.figshare.9994025.v1
title: MOESM4 of Recovery of non-reference sequences missing from the human reference genome

description: Additional file 4. Table showing the presence of NRS in 31 human de novo assemblies and in four great ape assemblies.
DOI: 10.17632/3pdyzv3s94
title: MEDICINAL PLANTS

description: The focus of study is on five medicinal plants which could strengthen the immune system.
DOI: 10.17632/8vx3cs9m5j
title: Early initiation of breastfeeding in Anglophone and Francophone West African countries: Systematic review and meta-analysis of associated factors

description: Supplementary data for EIBF factors

Objectives: Despite the benefits of early initiation of breastfeeding (EIBF) as a preventive medicine, the practice is suboptimal in West Africa, and there is limited systematic review evidence on the associated factors. This study aimed to aggregate the evidence on factors associated with EIBF in Anglophone and Francophone West African countries.
Study design: Systematic review and meta-analysis
Methods: Six databases were searched for published studies that reported factors associated with EIBF in Anglophone and Francophone West African countries from 1 January 2008 to 31 March 2024. All relevant studies were reviewed, and odds ratios were extracted and meta-analysed. 
Results: The pooled analysis showed that caesarean section delivery in both Anglophone (AOR: 0.74; 95% CI: 0.69, 0.81) and Francophone (AOR: 0.25; 95% CI: 0.21, 0.30) regions, and unskilled birth attendance (AOR: 0.79; 95% CI: 0.75, 0.83), babies perceived to be small at birth (AOR: 0.93; 95% CI: 0.88, 0.98), rural residence (AOR: 0.89; 95% CI: 0.85, 0.94) and mothers who wanted pregnancy now or later (AOR: 0.89; 95% CI: 0.85, 0.92) in Anglophone regions delayed initiation of breastfeeding (DIBF).
Conclusion: Future interventions and policies to improve EIBF should focus on addressing the factors associated with DIBF, with particular emphasis on babies delivered via caesarean section. This is crucial in reducing neonatal mortalities in the region to progress towards attaining Sustainable Development Goals 2 and 3 by 2030.
DOI: 10.25422/azu.data.25743963.v1
title: The City-Centric Dataset: Metropolitan Geographic Definitions and Code for US Metropolitan Statistical Areas (MSAs), 1980-2020

description: Comparative urban research in the USA has yet to fully grapple with geographic and definitional boundary changes of urban areas across time, resulting in spatial error and bias that severely affects empirical results. In the accompanying paper published in PLOS ONE, we center the urban area as the fundamental unit of analysis—a city-centric approach—to provide robust and dynamic metropolitan definitions that advance comparative urban studies while improving precision and accuracy in urban data analysis across different time scales.This dataset includes a new spatial dataset, programming code, and metropolitan geographic definitions for the manuscript "Advancing Methods for Comparative Urban Research: A City-Centric Protocol and Longitudinal Dataset for US Metropolitan Statistical Areas" (PLOS ONE). This dataset provides the customized Public Use Microdata Sample (PUMS) definitions used in our study that make US Metropolitan Statistical Areas (MSA) geographies comparable over time, as well as the code to process and create the results and figures in the paper. Our geographic definitions cover the 50 largest US MSAs from 1980-2020.<br><br>If you use this dataset or code, please cite as follows: Jurjevich, Jason R., Katie Meehan, Nicholas M.J.W. Chun, and Greg Schrock (2025): "The City-Centric Dataset: Metropolitan Geographic Definitions and Code for US Metropolitan Statistical Areas (MSAs), 1980-2020." Tucson, AZ: University of Arizona Research Data Repository. DOI: 10.25422/azu.data.25743963<br><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i><br>
DOI: 10.6084/m9.figshare.1019938.v1
title: Gaussian Job Archive for C33H27CuI2N3P

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1313001.v3
title: A new metriorhynchoid (Crocodylomorpha, Thalattosuchia) from the Middle Jurassic of Oregon and the evolutionary timing of marine adaptations in thalattosuchian crocodylomorphs

description: ABSTRACTMetriorhynchid thalattosuchians represent the most extreme archosaurian adaptation to the marine realm. Metriorhynchids possess aquatic adaptations throughout the skeleton. These adaptations were so extensive that some have suggested that they lost the ability to move on land, yet their evolutionary timing remains unresolved. The closest relatives of the metriorhynchoids, the teleosauroids, lack these aquatic adaptations, and the earliest metriorhynchoids are known exclusively from cranial material. Here I describe a partial skull with associated forelimb elements of a new marine crocodylomorph, <i>Zoneait nargorum</i>, gen. et sp. nov., of Aalenian–Bajocian age from the Snowshoe Formation of east-central Oregon. Phylogenetic analysis identifies <i>Zoneait</i> as the sister taxon to Metriorhynchidae. It possesses a derived skull with orbits that are more laterally directed and prefrontals that are more expanded than in other basal metriorhynchoids. The preserved forelimb elements are less derived. The humerus is elongate in comparison with that of other metriorhynchoids. The ulna is slightly reduced in length and flattened but resembles the teleosauroid condition more so than the plate-like element of metriorhynchids. This suggests that marine adaptations in metriorhynchoids were acquired in mosaic fashion, with modifications of the skull preceding forelimb reduction, with this forelimb reduction occurring first in the zeugopodial elements, prior to reduction of the humerus. This evolutionary timing has important implications for the transition from nearshore ambush predation to pelagic open-marine predation in Thalattosuchia, suggesting that adaptations related to prey detection and capture preceded the locomotor adaptations that allowed these organisms to fully invade the oceans.http://zoobank.org/urn:lsid:zoobank.org:pub:407671AC-E785-4831-9FB3-560965F15A2ESUPPLEMENTAL DATA—Supplemental materials are available for this article for free at www.tandfonline.com/UJVP
DOI: 10.6084/m9.figshare.14904999.v1
title: How Does the Spiritual Fit Between Individuals and Platforms Affect the Sharing Green Consumption Behavior?

description: Given the constraints of resource scarcity and environmental pollution, it has become an inevitable trend to promote the sharing green consumption behavior (SGCB) through a shared online platform. This study firstly proposed the spiritual fit (SF) between individuals and platforms and subdivided the dimensions of SF. Subsequently, based on in-depth interviews and a questionnaire survey, we deeply explored the mechanism of SF to transform into SGCB. Then we use correlation analysis and regression analysis to investigate the main effect of SF on SGCB, the mediating effect of green functional trust (GFT) and green value trust (GVT), and the moderating effect of social connection (SC). We find the following innovative conclusions: the three dimensions of SF between individuals and platforms, namely, spiritual perception fit, spiritual emotion fit, spiritual conation fit have significant main effects on SGCB; the two dimensions of green trust (GT), namely, GFT and GVT partially mediate between SF and SGCB. The moderating effect of SC on each path varies. On this basis, we construct a theoretical model of SF between individuals and platform-GT-SGCB to determine the factors influencing SGCB. Finally, this study proposes targeted policy implications to provide reference for the public to practice the SGCB independently.
DOI: 10.6084/m9.figshare.22434341.v1
title: Single-cell and spatial transcriptomic profiling of human glioblastomas

description: This deposition includes scRNA-seq and Spatial Transcriptomics data for 24 GBM patients, which are categorized as follows: a) 7 patients with newly diagnosed GBM (ND group) b) 5 patients with recurrent GBM (Rec group) c) 12 patients who have undergone neoadjuvant therapy (Neo group). Additionally, this deposition contains scRNA-seq data for both wild-type (WT) and SiglecE knockout (KO) mice bearing intracranial CT2A glioma. The provided data includes both the raw matrix and the processed Seurat objects.
DOI: 10.6084/m9.figshare.6934049.v1
title: Wu et al., 2018.zip

description: The weather, CTD and ADCP data across the Bohai Strait in Dec 2016 and May 2017
DOI: 10.6084/m9.figshare.9977528.v2
title: NBCI submitted annotations

description: Submitted NCBI gene annotation files
DOI: 10.17632/hnkcxydr3t
title: Social Media Savvy in Navigating Online Purchase Intentions Based On the Theory of Planned Behavior

description: The research objects focus on the following construct:
1. Attitude towards Social Media Marketing
2. Subjective Norms towards Social Media Marketing
3. Perceived Behavioral Control towards Social Media Marketing
4. Online Purchase Intention

The sampling technique used is purposive sampling to Indonesian generation Z, who are active users of social media and have the potential to make online purchases through digital platforms with the criteria of respondents are individuals aged at least 18 years, domiciled in the city of Bandung, actively using social media, and have seen or been exposed to marketing content through social media. 

Online questionnaires based on the theory of Planned Behavior (TPB) framework were distributed in a cross-sectional manner from March to April 2025. These questionnaires measured attitudes toward social media marketing, social norms toward social media marketing, perceptions of behavioral control toward social media marketing, as well as intentions to make online purchases. The measurement scale used is Likert 5 points, ranging from "1 = strongly disagree" to "5 = strongly agree".
DOI: 10.17632/j2vvg6xjk8
title: Empirical Evidence for Policy Formulations and Implications for IP Commercialization from Knowledge Economy Perspectives

description: Intellectual property (IP) rights protection is crucial for promoting innovation and economic growth. Stronger IP protection is associated with higher economic growth across measures of openness and alternative model specifications. Legal provisions for IP rights are challenging in the knowledge economy. In Sri Lanka, there is no fully committed national policy for IP, but the back-and-forth foundational elements are touched. Furthermore, the GDP growth rate of countries investing substantially in research and development shows a direct correlation with patent filing, whereas some studies show that IP policies increase patent output but do not necessarily encourage patent commercialisation. It urges the requirement for a comprehensive IP framework. Hence, this study aims to discuss the role of empirical evidence in IP policy formulation and its implications for enhancing economic growth in Sri Lanka, which further facilitates comprehension of policymakers in fostering innovation, creativity, and economic growth in the knowledge economy.
DOI: 10.6084/m9.figshare.16743856.v1
title: Wheat_part3

description: A flat csv file contaning all data for the labeled species, at the resolution of site-variety-year combinations. Wheat is split into three files as there are too many records. Barley is excluded for ethical reasons, available on request. Part 3/3 of the wheat data.
DOI: 10.6084/m9.figshare.27019642.v1
title: Gen AI for metal help-seeking - Survey Data

description: The deployment of artificial intelligence (AI) in mental health services has increased substantially, yet the specific AI characteristics that influence mental health help-seeking behaviors remain unclear. Drawing on dual-process theory and the Heuristic-Systematic Model (HSM), this study examines the mechanisms by which various characteristics of generative AI influence the intention to seek help. Analyzing data from 619 generative AI users in China, the findings indicate that systematic cues, including perceived intelligence and AI compatibility, along with heuristic cues, including anthropomorphism and likability, positively affect help-seeking intentions through both cognitive and emotional trust pathways. Notably, emotional trust exerts a stronger influence on help-seeking intentions than cognitive trust and can enhance cognitive trust, introducing a potential bias effect. Moreover, perceived privacy risks negatively moderate the mediating effects of cognitive and emotional trust between heuristic and systematic cues and help-seeking intention. Additionally, while users' trust positively correlates with help-seeking behavior, the perceived threat posed by AI can negatively moderate this relationship. This study not only enriches the theoretical discourse surrounding the attributes of generative AI and their impact on mental health help-seeking but also offers practical insights for the design and utilization of AI technologies to enhance mental health support.
DOI: 10.6084/m9.figshare.28578440.v1
title: Metagenome result analysis of Thalassemia Patients, Indonesia

description: This data include the metagenome analysis from oral microbiome of Thalassemia patients, Indonesia.
DOI: 10.6084/m9.figshare.7818464.v1
title: Data: unsupervised gene expression

description: These files contain gene expression data, which can be used to train unsupervised models. Each file is a separate gene set and normalization.<br>A README with some additional details is also provided.
DOI: 10.6084/m9.figshare.25424857.v2
title: <b>Prediction of m6A and m5C at single-molecule resolution reveals a co-occurrence of RNA modifications across the transcriptome</b>

description: The epitranscriptome embodies many new and largely unexplored functions of RNA. A significant roadblock hindering progress in epitranscriptomics is the identification of more than one modification in individual transcript molecules. We address this with CHEUI (CH3 (methylation) Estimation Using Ionic current). CHEUI predicts N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual molecules from the same sample, the stoichiometry at transcript reference sites, and differential methylation between any two conditions. CHEUI processes observed and expected nanopore direct RNA sequencing signals to achieve high single-molecule, transcript-site, and stoichiometry accuracies in multiple tests using synthetic RNA standards and cell line data. CHEUI’s capability to identify two modification types in the same sample reveals a co-occurrence of m6A and m5C in individual mRNAs in cell line and tissue transcriptomes. CHEUI provides new avenues to discover and study the function of the epitranscriptome. This dataset contains the source data files for the CHEUI publication.
DOI: 10.6084/m9.figshare.9971642.v1
title: GPS and DD sheep data

description: The data were collected from one sheep in Bariloche, Argentina, during February and March of 2019. The contains information of a GPS (CatLog-B, Perthold Engineering, www.perthold.de; USA), that was programmed to record location data every five minutes, and a DailyDiary, that was programmed to record 40 acceleration data per second (frequency of 40Hz) and 13 magnetometer data per second (frequency of 13Hz).
DOI: 10.17632/7vj8r76s6f
title: Open dataset for: "Social-evaluative threat: stress response stages and influences of biological sex and neuroticism"

description: A dataset of 37 men and 30 women (tested in the luteal phase of their menstrual cycle) participated in a public speaking task to induce social-evaluative threat. Responses of multiple stress systems were measured (trait appraisal, sympathetic and parasympathetic nervous system activity, self-reported motivation and affect, and hypothalamic–pituitary–adrenal axis activity), as well as personality traits (e.g. neuroticism and extraversion).
DOI: 10.17632/btbpf4xcxn
title: Dataset for Empirical Evidence of the Causality Relationships between Three Key Macroeconomic Factors in Indonesia 2000 - 2021

description: The Indonesian economy has been experiencing "deindustrialization" since the mid-2000s. However, the corresponding literature has not developed a consistent or integrated analysis of this process. This study will adopt an empirical approach to simultaneously analyzing three causality relationships: (i) that between the growth of both the manufacturing and non-manufacturing sectors and economic development in Indonesia, (ii) that between the growth of manufacturing and labor, productivity, non-manufacturing productivity, and the economy in Indonesia, and (iii) that between these developments and the macroeconomy. This study aims to identify and understand the transmission channels of the macroeconomic variables responsible for either the expansion of or reduction in manufacturing activity in the period 2000-2021. This, in turn, enables the contribution of the largest macroeconomic variables in terms of their short- and long-term influence on the manufacturing sector in Indonesia to be determined. Using time-series data from the period 2000 to 2021, the authors seek to identify empirical evidence consistent with that provided by previous research indicating the manufacturing sector constitutes a key driver of economic growth.
This study incorporates use of a stochastic regression with a linear regression model and a VECM (Vector Error Correction Model) which involve several time-series econometric procedures such as the unit root test, Cointegration test, Linear Regression, Granger Causality test, VECM estimation, Impulse Response function and Decomposition variances.
DOI: 10.17632/zsns7pjb4w
title: Strawberry data for MGIDI paper

description: This file contains data on multiple traits evaluated in a strawberry experiment. See https://doi.org/10.1101/2020.12.30.424876 for information regarding the trait names.