cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24456844.v3
title: Will They or Won't They Couples Data

description: Many television shows follow the “will they or won’t they” trope, where the dynamic between a pair of main characters constantly shifts between friendship and something more throughout the run of the series. This trope has persisted throughout the decades, and examples include Sam and Diane from the 1980s show Cheers and Jess and Nick from the 2010s show New Girl. In some cases, the audience may wait multiple seasons before a couple like this gets together, and some suspect that producers delay the moment to create suspense and keep viewers engaged. Events marking major romantic milestones, such as the pair’s first kiss, often change the trajectory of the plot, influence the number of viewers tuning into the show, and drive up episode ratings. In this project, we scrape viewer ratings from the Internet Movie Database (IMDb) for 150 popular couples from 125 television series and then model the plot shifts following episodes with romantic milestones using causal inference methods. Specifically, we construct an interrupted time series model, where the interruption is the episode in which each couple has their first kiss. From this model, we assess whether these interruptions are associated with changes in viewer ratings on average.
DOI: 10.6084/m9.figshare.25562406.v3
title: Dataset of 5 Narratives

description: This repository contains a dataset of 5 textual narratives. All the narratives have a length of about 1000 words and are written in English. The narrative text is extracted from different sections of Wikipedia pages, but it was manually reviewed to eliminate biblio graphic references, brackets including phonetic alphabet signs and links to other resources.
DOI: 10.6084/m9.figshare.29137205.v1
title: Supporting data for: <b>Pressure dependence of sound velocity, shear modulus and yield strength of the amorphous 4:1 methanol-ethanol mixture to 78 GPa</b>

description: The uploaded Table of data 1 summarizes our processed experimental data for the Run3, comprising pressure-dependent Brillouin frequency <i>f</i><sub>B</sub>(<i>P</i>), longitudinal sound velocity <i>V</i><sub>L</sub>(<i>P</i>), shear modulus <i>G</i>(<i>P</i>), yield strength <i>σ</i><sub>y</sub>(<i>P</i>), as well as the previously measured pressure-dependent refractive indexes <i>n</i>(<i>P</i>) and, accordingly, density <i>ρ</i>(<i>P</i>) and bulk modulus <i>B</i>(<i>P</i>). In the same table, <i>f</i><sub>B</sub>(<i>P</i>) for the Run1 and Run2 are also presented.It should be noticed that the Run3 provides the primary dataset we presented and discussed in the article, because: (i) only in Run3, one ruby ball located on surface of the opto-acoustic transducer, which permitted performing the TDBS measurements next to this ruby pressure gauge and thus to establish a reliable pressure dependence <i>f</i><sub>B</sub>(<i>P</i>), and (ii) it is the dataset in which the highest pressure was achieved.The uploaded Tables of data 2 and 3 summarize the pressure distribution values for the Run3 in x and in y directions, respectively, as shown in Fig. 5 of the article.
DOI: 10.6084/m9.figshare.8089142.v1
title: RAW_DATAs_PloS.xlsx

description: Raw datas for all variables
DOI: 10.6084/m9.figshare.9731681.v1
title: The research associated with digital scholarship

description: A brief exploration of the research associated with digital scholarship derived from The Web of Science ('digital scholarship' as topic search term, no refines, on Aug 24, 2019). <br>Supporting code at GitHub.https://cjlortie.github.io/Data_digital_scholarship/<br>
DOI: 10.17632/wggv6y4rgn
title: INVESTIGACION DE LA VIA DE INOCULACION PARA REPRODUCIR EXPERIMENTALMENTE LA COLIBACILOSIS EN POLLOS BROILER

description: olibacilosis en pollos broiler, causada por Escherichia coli patógena aviar (APEC), es una enfermedad de gran impacto en la industria avícola. Para reproducirla experimentalmente, es utilizar cepas esenciales virulentas previamente caracterizadas y seleccionar vías de inoculación adecuadas que simulen los escenarios naturales de infección. Las principales vías incluyen la inoculación por aerosoles o intratraqueal, que reproducen la infección respiratoria primaria, así como la inoculación intraperitoneal o subcutánea, útil para estudiar la septicemia secundaria. También se emplean métodos menos comunes, como la inoculación oral o en la bolsa de Fabricio, dependiendo del objetivo del estudio.
DOI: 10.6084/m9.figshare.11954001.v3
title: Traditional African vegetables: species selection, origin, use, and cultivation

description: This database provides a extensive list of 422 reported traditional African vegetables. We selected any vegetable mentioned in at least two of five species lists for more detailed study at regional scale, resulting in a final list of 126 species. A literature review was carried out for all the 126 vegetable crops identified exercise to summarize reported geographic areas of domestication and/or species origin, food uses and cultivation status (Supporting information or originated from Africa were classed as indigenous vegetables. Species introduced from other countries were classed naturalized vegetables. We assume domestication or species origin harbor high levels of genetic resources and traditional knowledge.
DOI: 10.6084/m9.figshare.24274855.v2
title: LV Trabeculations

description: LV trabeculation data in a cohort of great apes.
DOI: 10.6084/m9.figshare.27964653.v1
title: Data for “Mineral and microbial properties drive the formation of mineral-associated organic matter and its response to increased temperature”

description: Mineral associated organic matter (MAOM) formation efficiency based on isotopically labelled laboratory incubations (at 15°C and 25°C) and a series of potential drivers, including soil, mineral, and microbial properties.
DOI: 10.15482/usda.adc/1522439
title: Data from: Quantifying Insect Dispersal Distances from Trapping Detections Data to Predict Delimiting Survey Radii, CDFA distances raw data
DOI: 10.17632/ydkgfdc38t
title: PyFitit: The software for quantitative analysis of XANES spectra using machine-learning algorithms

description: X-ray absorption near-edge spectroscopy (XANES) is becoming an extremely popular tool for material science thanks to the development of new synchrotron radiation light sources. It provides information about charge state and local geometry around atoms of interest in operando and extreme conditions. However, in contrast to X-ray diffraction, a quantitative analysis of XANES spectra is rarely performed in the research papers. The reason must be found in the larger amount of time required for the calculation of a single spectrum compared to a diffractogram. For such time-consuming calculations, in the space of several structural parameters, we developed an interpolation approach proposed originally by Smolentsev and Soldatov (2007). The current version of this software, named PyFitIt, is a major upgrade version of FitIt and it is based on machine learning algorithms. We have chosen Jupyter Notebook framework to be friendly for users and at the same time being available for remastering. The analytical work is divided into two steps. First, the series of experimental spectra are analyzed statistically and decomposed into principal components. Second, pure spectral profiles, recovered by principal components, are fitted by theoretical interpolated spectra. We implemented different schemes of choice of nodes for approximation and learning algorithms including Gradient Boosting of Random Trees, Radial Basis Functions and Neural Networks. The fitting procedure can be performed both for a XANES spectrum or for a difference spectrum, thus minimizing the systematic errors of theoretical simulations. The problem of several local minima is addressed in the framework of direct and indirect approaches.
DOI: 10.6084/m9.figshare.28677269.v1
title: printing.mp4Integrated Bioprinting of Trachea-Like Structures Based on Tissue-Specific bioink

description: database for artical uploaded :"Integrated Bioprinting of Trachea-Like Structures Based on Tissue-Specific bioink"
DOI: 10.6084/m9.figshare.5241562.v1
title: Erratum: Staphylococcal Protein A, Panton-Valentine Leukocidin and Coagulase Aggravate the Bone Loss and Bone Destruction in Osteomyelitis

description: <b><i>Background/Aims: </i></b>Osteomyelitis is a debilitating infectious disease of the bone which is predominantly caused by <i>Staphylococcus aureus (S. aureus)</i>. The purpose of this study was to investigate the role of the <i>S. aureus </i>virulence factors, <i>i.e. </i>protein A (SpA), Panton-Valentine leukocidin (PVL) and coagulase (Coa) on osteomyelitis. <b><i>Methods: </i></b>The effect of SpA, PVL and Coa on osteoblasts was studied through the following aspects including osteoblast proliferation, apoptosis, bone formation, bone mineralization and RANK-L expression. <i>S. aureus </i>overexpressing PVL, SpA or Coa was constructed and used to study the role of PVL, SpA and Coa, respectively. <i>S. aureus </i>silencing PVL, SpA or Coa was also constructed and used for reversing verification. Osteoblast proliferation was detected by MTT tetrazolium dye reduction assay. Apoptosis was determined by Annexin V-FITC staining. The levels of pro-caspase 3, cleaved-caspase 3, pro-caspase 9 and cleaved-caspase 9 were detected by western blot. Bone formation markers including collagen I, osteopontin and osteocalcin were detected by real time RT-PCR. Alkaline phosphatase activity was measured by adding p-nitrophenyl phosphate as a phosphatase substrate. Von kossa stain and alizarin red stain were applied for determining phosphate and calcium deposition, respectively. The RANK-L expression was tested by ELISA. <b><i>Results: </i></b>PVL, SpA and Coa inhibited osteoblast proliferation, induced osteoblast apotosis, prohibited bone formation and mineralization and upregulated RANK-L expression. <b><i>Conclusions: </i></b>PVL, SpA and Coa play a critical role on bone loss and bone destruction of osteomyelitis.
DOI: 10.6084/m9.figshare.11909781.v1
title: Panoche climate 2014-2019

description: Data from California Irrigation Management Information System weather station #56. Years compiled to support concurrent ecological research projects.Lat 37.096694Long -120.7539
DOI: 10.6084/m9.figshare.24312568.v1
title: Associations between Racing Thoroughbred MovementAsymmetries and Racing and Training Direction (accepted for publication in Animlas under this title)

description: Dataset from 307 Thoroughbreds (156 from Singapore Turf Club, and 151 from Hong Kong Jockey Club), which includes movement asymmetry displacement variables for the head (poll) and pelvis (sacrum) extracted from segmented strides during trotting in a straight line-in hand trial. Data presented for each horse is the median value for each identified stride cycle (one value per variable, per horse).
DOI: 10.17632/bk7j6wprp2
title: Google Trends Dissected:Old Statistical Methods, New Insights from a Quantitive research methodology prioritizing Probababilistic analysis

description: Results which help in postulating Public policy for future pandemics’ lockdowns:
● From the binomial distribution, I find that out of any random sample of internet users
(belonging to the listed 27 high internet penetrated states), 25% to 50% of them will be
optimistic (with 98.42% confidence, during lockdown period).
● I find significant evidence that average overall concern during the post-lockdown period is
lower than during the lockdown period.
● I find no significant evidence that states with higher internet penetration are more
optimistic than states with lower internet penetration.
● I find significant evidence that average pessimistic concern during the post-lockdown
period is lower than during the lockdown period.
● I do not find significant evidence that average optimistic concern during the post-lockdown
period is lower than during the lockdown period.
DOI: 10.17632/fjxrcbh672
title: NASA RR-3 Brain Dataset

description: This dataset is cited in the study titled "Spatially resolved multiomics on the neuronal effects induced by spaceflight". This dataset contains the following: Counts data for each brain tissue section including corresponding spot coordinates and images processed by Spaceranger; final object containing the deconvolution results processed using Stereoscope; final analysed objects, corresponding metadata file and final rmarkdown html document showing the final plots from the multiomics analysis; and final analysed seurat object with ST clusters and corresponding annotations. 
The metabolic analysis files and output files required to perform the analysis are under the data_metabolic_analysis.zip folder.
DOI: 10.17632/tcytw5tdd2
title: Data for: Operational Momentum in Preschool Children and Adults: Ordering along the mental number line

description: Operational Momentum in Preschool Children and Adults: Ordering along the mental number line
DOI: 10.17632/4r3xbtx2hs
title: Energy and Environmental Impacts of Greece's Agricultural Sector: A Diachronic Study with Regional Insights from Western Macedonia

description: This study explores the long-term impact of water withdrawal and energy consumption on Greece’s agricultural productivity, focusing on crop and livestock production. The research hypotheses tested are:

 H1: Crop production (CROP) has a statistically significant positive relationship with agricultural value-added (AGRVAL).
 H2: Livestock production (LIVE) has a statistically significant positive relationship with AGRVAL.
 H3: Water withdrawal (WATER) has a positive relationship with CROP.
 H4: WATER has a positive relationship with LIVE.
 H5: Energy consumption (ENERGY) positively impacts CROP.
 H6: ENERGY positively impacts LIVE.

Data and Methodology

The study utilizes data from the World Bank and spans various time periods: 1970-2022 for water and crop/livestock relationships, and 2000-2022 for energy inputs. Key variables analyzed include AGRVAL (agricultural value-added), CROP (crop production index), LIVE (livestock production index), WATER (water withdrawal for agriculture), and ENERGY (energy use in agriculture). The analysis was conducted using linear regression models to examine the relationships between these variables.
Notable Findings
H1: A significant positive relationship between crop production and agricultural value-added was confirmed, showing that increased crop yields boost the agricultural sector’s contribution to the economy.
H2: The relationship between livestock production and agricultural value-added was weak and insignificant, suggesting a lower economic impact of livestock due to inefficiencies.
H3: Water withdrawal was significantly correlated with crop production, highlighting water's critical role and the need for sustainable water management.
H4: A positive relationship between water use and livestock production was observed, emphasizing the importance of water for livestock.
H5: Energy consumption positively influenced crop production, suggesting that energy efficiency improvements could increase yields.
H6: Energy use also significantly impacted livestock production, underscoring energy’s vital role in agriculture. Transitioning to renewable energy could sustain or improve livestock productivity.
DOI: 10.17632/z6hkzx433s
title: Reliable, versatile and remotely controlled instrumentation of an hectometric loop antenna using appropriate technologies

description: The instrumentation of a giant loop antenna dedicated to environmental measurement, on a unique scientific
site and intended to be open to the scientific community is presented. An open-source, low-cost electronic sys-
tem has been designed, developed, and deployed in order to meet the need for reliability and flexibility imposed
respectively by the harsh environment and the scientific objectives. The system’s architecture is based on the
simultaneous association of five Arduino boards piloted together by a Raspberry Pi which also controls the mea-
surement devices. The setup is therefore automated, pilotable, and remotely reprogrammable. Special attention
was paid to its hardware and software reliability. These have been proven efficient over more than two years
of operation. Several scientific conference publications have already proven the feasibility of the measurement
principle. This article gives previously unpublished details regarding the electronic setup.
DOI: 10.17632/wsz9gdjttk
title: VALORACIÓN Y MAPEO DE RIESGOS

description: Valoración de riesgos.
DOI: 10.6084/m9.figshare.14071448.v1
title: First report of fungal endophyte communities and non-defensive phytochemistry of biocontrol-inoculated whitebark pine seedlings in a restoration planting

description: Plant-associated endophyte communities influence plant health and vary with host plant genetics. Evidence suggests that microfungi of plant interiors (i.e. endophytes) vary with host genetics due to genetic variation in plant defense phytochemistry. We examined correlations between fungal endophyte communities, the application of an endophytic fungal inoculum, and non-defensive phytochemistry of six-year-old seedlings of whitebark pine (<i>Pinus albicaulis</i>) in a field trial using a culture-free approach. Fungal communities in whitebark pine foliage were investigated four years after an experimental inoculation of seedlings with <i>Myrothecium roridum</i>, an endophytic fungus hypothesized to modify host microbiomes and potentially defend against white pine blister rust. Foliar fungal endophyte richness, Shannon diversity, and endophyte community composition varied across genetic maternal trees, although these effects were potentially confounded with spatial location. Foliar carbon and nitrogen isotopes, and carbohydrate composition were each unassociated with endophytic diversity or community composition after controlling for spatial effects. Endophytic communities did not vary with the inoculation treatment, nor was the inoculant detected systemically in inoculated seedlings. We draw two conclusions from this work: (1) fungal microbiomes of whitebark pine seedlings across our study site did not vary with host phytochemistry indicative of ecophysiological status, (2) the inoculation of <i>P. albicaulis</i> seedlings with <i>M. roridum</i> did not lead to persistent systemic changes in seedling foliar microbiomes.<br>
DOI: 10.6084/m9.figshare.20128361.v1
title: Control_sample1

description: Control_sample1
DOI: 10.6084/m9.figshare.25673799.v4
title: A comparison of Human, GPT-3.5, and GPT-4 Performance in a University-Level Coding Course

description: Data from "A comparison of Human, GPT-3.5, and GPT-4 Performance in a University-Level Coding Course". <br><br>This study evaluates the performance of ChatGPT variants, GPT-3.5 and GPT-4, both with and without prompt engineering, against solely student work and a mixed category containing both student and GPT-4 contributions in university-level physics coding assignments using the Python language. Comparing 50 student submissions to 50 AI-generated submissions across different categories, and marked blindly by three independent markers, we amassed n = 300 data points. Students averaged 91.9% (SE:0.4), surpassing the highest performing AI submission category, GPT-4 with prompt engineering, which scored 81.1% (SE:0.8) - a statistically significant difference (p = 2.482 x 10<sup>-10</sup>). Prompt engineering significantly improved scores for both GPT-4 (p = 1.661 x 10<sup>-4</sup>) and GPT-3.5 (p = 4.967 x 10<sup>-9</sup>). Additionally, the blinded markers were tasked with guessing the authorship of the submissions on a four-point Likert scale from `Definitely AI' to `Definitely Human'. They accurately identified the authorship, with 92.1% of the work categorized as 'Definitely Human' being human-authored. Simplifying this to a binary `AI' or `Human' categorization resulted in an average accuracy rate of 85.3%. These findings suggest that while AI-generated work closely approaches the quality of university students' work, it often remains detectable by human evaluators.
DOI: 10.6084/m9.figshare.28465352.v1
title: <b>Language of Genocide: A Content Analysis of Israeli Officials’ October 2023 Statements</b>

description: The study relies on a dataset compiled by Law for Palestine in collaboration with Visualizing Palestine. This dataset documents over 400 instances of hate speech and incitement to violence against Palestinians by Israeli officials, military personnel, and public figures. For this research, the scope was narrowed to 68 statements made by government officials and ex-officials between October 7 and October 31, 2023. These statements were selected from the dataset’s "ws-oct-final" subsheet based on their alignment with genocidal intent as defined by the Genocide Convention. The other sub-sheets, created by the author to cross-check analysis, are also included in the date set for complete transparency.
DOI: 10.17632/dtn7s529v4
title: Data for: Oil Shocks and Production Network Structure: Evidence from OECD

description: Files to replicate the results.
DOI: 10.17632/wrwr3886dy
title: Why do humble individuals act more altruistically toward foreigners: A moderated mediation model

description: According to the humility-helping hypothesis, the question of whether humility affects altruistic behavior has received extensive attention. However, researchers have not established many links between humility and international altruism. This study focused on humility, which was defined as being intellectually open, other-oriented, and capable of recognizing one's limits. The study explored humility as a stable personality trait and assessed whether it encouraged international altruism. It also examined the underlying mechanism between the foregoing relationship. We recruited 940 college students aged 18 to 23 to participate in an anonymous online survey and obtained 929 data points. The results showed that humility has a direct impact on international altruism. They largely supported the theoretical framework of the humility-helping hypothesis at the inter-group level. We also addressed the mediating effect that identifying with all humanity had on the relationship between humility and international altruism. The findings showed that two forms of empathy (empathy and group empathy) have a moderating effect, indicating that different forms of empathy should be more emphasized in different social situations. Taken together, the results show that developing people's humility and helping them to identify with all humanity are key to promoting inter-group altruism, especially for those who can empathize with other people or groups.
DOI: 10.6084/m9.figshare.14671965.v1
title: adhd2019

description: GWAS summary statistics from the Psychiatric Genomics Consortium (PGC)