cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/cp85bbrtft
title: Performance Evaluation of High-Strength Concrete with Silica Fume and Metakaolin as Cement Replacements

description: Abstract
The increasing demand for high-performance and sustainable construction materials has driven the exploration of supplementary cementitious materials (SCMs) as partial replacements for cement in concrete. This study investigates the performance of high-strength concrete (M50 grade) incorporating silica fume and metakaolin as partial cement replacements. Silica fume, a by-product of silicon alloy production, was used at replacement levels of 5%, 7%, and 10%, while metakaolin, a calcined clay material, was used at 10%, 15%, and 20% replacement levels. Mechanical properties, including compressive strength, split tensile strength, and flexural strength, were evaluated after 7, 14, 28, and 56 days of curing, while durability was assessed through water absorption tests. Workability was measured using the slump test, and surface hardness was determined using the rebound hammer test, with all tests conducted as per Indian Standards.
The results revealed significant enhancements in concrete performance with both materials. Optimal compressive strength was achieved at 7% silica fume and 15% metakaolin replacements, showing improvements of 8% and 10%, respectively, over the control mix. Tensile and flexural strengths followed similar trends, while water absorption decreased significantly, with reductions of up to 29%. However, workability decreased with increasing replacement levels, which was effectively mitigated using a superplasticizer. The study concludes that silica fume and metakaolin are effective SCMs for enhancing the mechanical and durability properties of high-strength concrete while contributing to sustainability by reducing cement consumption. These findings provide valuable insights for the construction industry, paving the way for more durable and environmentally friendly infrastructure.
DOI: 10.17632/shwpmzw8v9
title: Impact of democratic variables on economic development and foreign direct investment: A case study on the political stability in Sub-Saharan Africa

description: This dataset was created to identify the dynamics of democracy on economic development and foreign direct investment (FDI) through the application of dynamic panel data estimation methods, such as the Arellano and Bond, and generalized method of moments (GMM) estimation methods, on 33 Sub-Saharan African countries for the period of 2000 to 2014. The study employed World Development Indicators and Worldwide Governance Indicators as a proxy for democracy in the regression models employing economic development and FDI as the dependent variables.
DOI: 10.17632/zzypgbjz73
title: Exploring silk dynamics data.csv

description: The study examines how silk produced by detritivores living in dry regions might differ from that of tropical arboreal webspinners (Embioptera). The detritivores are Haploembia tarsalis and Oligotoma nigra. The tropical species are Antipaluria urichi and Pararhagadochir trinitatis. Webspinners rely on silk for protection, including from rain and flooding. They spin the finest silks known in nature. The amino acid compositions vary from one species to the next and might impact how the silk interacts with water. Fiber diameter also varies, whereby the detritivores spin finer silks (approximately 48 nm diameter) than the arboreals (72 - 122 nm). Water-silk interactions are known for Embioptera, as the fibers transform to a film when wetted. In either case, the silk protects the insects within the silk galleries from water. Silk was imaged by SEM and quantified as density based on pixels using ImageJ Fiji. After exposure to water, the silk surface transforms to a film; the film density was quantified the same way as were the dry fibers. Disappearance rates of the water droplets placed on silk was recorded and revealed that the one species (Oligotoma nigra) with hydrophobic silk amino acids showed the slowest transformation rate when exposed to water. The two arboreal species showed higher density of spun silk fibers and of the resulting silk films after wetting compared to the detritivores. Possible adaptive value is that the tropical species rely more on a thick silk coating as protection from natural enemies and from heavy rainfall. Embioptera silk is not well studied; further work is needed to elucidate the variability as demonstrated by this preliminary investigation of silk diversity. Contact angle of drops on spun silk were also measured for 7uL drops of water..
DOI: 10.6084/m9.figshare.7575464.v1
title: 70P11

description: Row data of the subject
DOI: 10.17632/xfx88w8nsz
title: Data for: Do 'Watching Eyes' Influence Antisocial Behaviour? A Systematic Review & Meta-Analysis

description: Repository contains files linked with the draft paper Dear, Dutton & Fox (2018), Do ‘Watching Eyes’ Influence Antisocial Behavior? A Systematic Review & Meta-Analysis Authors: Wing Commander Keith Dear, Dr Kevin Dutton, Professor Elaine Fox, Department of Experimental Psychology, University of Oxford Address Correspondence to: Wing Commander Keith P Dear, Department of Experimental Psychology, University of Oxford. Address: Oxford University Department of Experimental Psychology, Anna Watts Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG. Phone: 01865 271519 Email: keith.dear@psy.ox.ac.uk Funding This research was funded by the Royal Air Force (Grant Number DDS/44) and United States Air Force (Grant Number: FA9550-16-1-0090) as part of a wider project examining the effect of surveillance on behavior
DOI: 10.6084/m9.figshare.26488795.v4
title: Replication package of our anonymous paper

description: This is the replication package of our anonymous submission
DOI: 10.6084/m9.figshare.27073565.v1
title: Ecovillage scale-up and its well-being challenges: a case study from Norway

description: Ecovillages are settlements that aim to combine human well-being and environmental sustainability. They serve as sites of social learning for sustainable consumption practices and may inspire lifestyle changes in mainstream society. However, most ecovillages fail in the first few years of establishment. Through an in-depth study of a Norwegian ecovillage’s efforts at expansion, this article explores the factors that adversely affected the well-being of ecovillage residents and threatened the community’s survival. The study applies mixed methods combining needs-based workshops, a well-being survey, and in-depth interviews. The transformation of the ecovillage into a larger settlement with modern houses was driven by a developer and with minimal involvement of residents. The resulting divergence in visions and values, coupled with structural problems of the homes, led to protracted conflicts, and resulted in the developer’s bankruptcy. The study identifies strong social institutions and affordable infrastructures as crucial elements for both well-being and the success of ecovillages.
DOI: 10.6084/m9.figshare.28714391.v2
title: Results associated to the specific oxymetric experiments performed for the publication '<i>Scalable modelling of photosynthetic carbon assimilation and partition during</i><i> </i><i>nitrogen starvation for the microalga Chlorella vulgaris NIES 227</i>'

description: This folder contains all the data associated to oxymetric experiments performed in the context of the publication '<i>Scalable modelling of photosynthetic carbon assimilation and partition during</i><i> </i><i>nitrogen starvation for the microalga Chlorella vulgaris NIES 227</i>' in order to determine the oxygen productivity of the microalgae Chlorella vulgaris NIES 227 at different stage of nitrogen starvation as described in the manuscript.The R code associated to the data to interpret it, and then analyze it are provided at the URL <i>https://github.com/pchambonn/Toward-a-scalable-modelling-of-photosynthetic-carbon-assimilation-and-partition/tree/main</i>.
DOI: 10.6084/m9.figshare.7016306.v1
title: CGU-BES Dataset for Fall and Activity of Daily Life

description: Fifteen healthy participants (11 males, 4 females; 21.8±1.8 yr; 167.7±6.0 cm; 63.0±10.1 kg) performed simulated falls and activities of daily living (ADLs). Every participant performed four simulated falls and eight other types of functional movements, all starting from walking. The four kinds of simulated falls are defined as a forward fall, a backward fall, a lateral fall toward the right-hand side, and a lateral fall toward the left-hand side. The eight types of ADLs are defined as continuous walk, hands raised and lowered, a forward jump, an upward jump, crouch, forward lying down, backward lying down, and stroll followed by standing then sitting. The protocol of this study was approved by the Research Ethics Committee of the Chang Gung Medical Foundation (IRB#101-0830B). All kinematic data were collected by a wearable wireless sensor system. The system contained a tri-axial accelerometer with a full-scale range of ±3.6 g with ±0.3% nonlinearity and a sensitivity of 300 mV/g (ADXL330, Analog Device, Cambridge, MA, USA), a tri-axial gyroscope with a full-scale range of ±400 degrees/sec (dps) and a sensitivity of 3.2 mV/dps (LYPR540AH, STMicroelectronics, Geneva, Switzerland), a microcontroller (MSP430F5438, Texas Instruments, Dallas, TX, USA), and a Bluetooth module (BTC-1022, Atech OEM Inc., Taipei, Taiwan). The sensor was attached to the anterior aspect of the chest using an elastic band. Trunk accelerations and angular velocities were digitized in parallel through a built-in 12-bit analog-digital converter, at a sampling rate of 200 Hz. The digital series were transmitted via Bluetooth to a personal computer.
DOI: 10.17632/fpjnxj526x
title: Dataset on the influence of workers related safety climate towards safety performance amongst construction workers in Langkawi Island, Malaysia.

description: The data were collected amongst 384 respondents working in construction sites throughout Langkawi Island, Malaysia who were approached to answer the self-administered questionnaire.
The researcher utilised explanatory, descriptive, and hypothesis testing quantitative strategies to assess the relationship between worker-related safety climate and the dimensions of safety performance. To analysed the collected data, Smart PLS 3.0 and SPSS 21 software was equally used in assessing the measurement and structural model. From the data analyses, the hypotheses testing revealed that work-related safety climate represented by workers’ attitude, workers’ competence, and co-workers’ influence have significantly influenced construction’s workers safety performance dimensions namely safety compliance and safety participation.
DOI: 10.17632/sssgjcss42
title: Histological Dataset on the Effects of Flunitrazepam on Liver Decomposition for Postmortem Interval Estimation

description: This study investigated the effect of flunitrazepam on liver decomposition to improve postmortem interval (PMI) estimation in forensic cases. The hypothesis was that flunitrazepam delays decomposition by inhibiting enzymatic autolysis, affecting PMI determination. The dataset consists of histological images of liver tissue samples collected daily over 16 days from two pigs (Sus Scrofa L.): one control and one experimental (administered 2 mg flunitrazepam in 250 ml vodka). Samples were excised from the caudal lobe, preserved in 10% neutral buffered formalin, and processed using standard histological techniques, including hematoxylin and eosin (H&E) and Masson's trichrome staining.

The images document key decomposition stages, showing structural changes such as nuclear degradation (pyknosis, karyorrhexis, and karyolysis), loss of sinusoidal integrity, hepatocyte disintegration, hemorrhage, and bacterial colonization. Notable findings indicate that flunitrazepam significantly slowed decomposition in the experimental group during the first six days, with more preserved cellular integrity compared to the control. By day seven, decomposition rates between the two groups became comparable, and by day 16, both exhibited complete structural disintegration.

This dataset provides valuable forensic insights into drug-induced alterations in PMI estimation. Researchers can analyze the images to assess histopathological changes in liver decomposition, compare treated and untreated tissue degradation patterns, and refine forensic methodologies. The dataset can be used to train forensic investigators in recognizing drug-influenced decomposition markers or for machine-learning applications in PMI prediction. Proper interpretation requires familiarity with histopathology, tissue staining techniques, and forensic pathology.
DOI: 10.17632/v8cp7z42gw
title: The phenylalanine-and-glycine repeats of NUP98 oncofusions form condensates that selectively partition transcriptional coactivators

description: Recurrent cancer-causing fusions of NUP98 produce higher-order assemblies known as condensates. How NUP98 oncofusion-driven condensates activate oncogenes remains poorly understood. Here, we investigate NUP98-PHF23, a leukemogenic chimera of the disordered phenylalanine-and glycine (FG)-repeats-rich region of NUP98 and the H3K4me3/2-binding PHD finger domain of PHF23. Our integrated analyses using mutagenesis, proteomics, genomics, and condensate reconstitution demonstrate that the PHD domain targets condensates to H3K4me3/2-demarcated developmental genes while FG repeats determine condensate composition and gene activation. FG repeats are necessary to form condensates that partition a specific set of transcriptional regulators, notably the KMT2/MLL H3K4 methyltransferases, histone acetyltransferases and BRD4. FG repeats are sufficient to partition transcriptional regulators and activate a reporter when tethered to a genomic locus. NUP98-PHF23 assembles the chromatin-bound condensates that partition multiple positive regulators, initiating a feed-forward loop of reading-and-writing active histone modifications. This network of interactions enforces an open chromatin landscape at proto-oncogenes, thereby driving cancerous transcriptional programs.
DOI: 10.17632/zc7cjr6532
title: Dataset for developing optimal headway-based bus dispatching strategy during epidemic outbreaks 

description: This article presents data from a research study titled "Optimal Headway-Based Bus Dispatching Strategy under the Influence of Epidemic Outbreaks" . The study focuses on the Xi'an Xiaozhai central business district (CBD) street network, which comprises 33 major signalized intersections and 112 bus stops associated with 12 bus routes. The dataset includes details of intersection and bus stop geospatial data, street segment and intersection design, intersection signal timing plans, bus route operational properties such as dispatching frequencies, fleet sizes, loading bay capacities, and bus-specific parameters. It also encompasses data on passenger boarding and alighting counts, as well as travelers’ origin and destination (O-D) locations, routes, and departure times during three time periods: 10:00-11:00 PM, 1:00-2:00 PM, and 7:00-8:00 PM on Monday, June 7, 2021. These times represent off-peak (10:00 PM–1:00 AM the next day), adjacent-to-peak (9:00–11:00 AM, 1:00–4:00 PM, and 8:00–10:00 PM), and peak (7:00–9:00 AM, 11:00 AM–1:00 PM, and 4:00–8:00 PM) periods, respectively. Data collection involves searching government and organizational records, utilizing Alibaba Cloud's Amap platform, conducting onsite measurements, and performing a field survey. The dataset is a valuable resource for studying the integrated operations of various urban mass transit services, including buses, bus rapid transit (BRT), and fixed guideway transit, under both normal and epidemic-affected travel conditions. Additionally, it can be used to investigate multimodal integrated urban passenger services offered by automobiles, transit, ridesharing, and active transportation modes.
DOI: 10.6084/m9.figshare.13000151.v1
title: data

description: data used in the evaluation
DOI: 10.17632/zfm89nwx2t
title: Emergent perceptual biases from state-space geometry in trained spiking recurrent neural networks. Serrano-Fernandez et al.

description: This dataset contains both the behavior and the single-neuron spike trains from two example recurrent neural networks of spiking LIF neurons (sRNN) performing a time interval discrimination task. In this task, two-time stimuli are presented sequentially separated by a delay period in order to be compared.

Starting from different random initializations of the network parameters, each sRNN was trained in a block of 5,000 training trials, presented in a continuous manner, without perturbing the network activity at the end of the trial. 

Once the networks were trained, a series of test simulations were conducted to assess their performance in the task and to collect the attached datasets (see the different "README" documents inside the dataset for further information). Their performance exhibited a perceptual bias known as contraction bias. Due to this bias, the first stimulus is perceived as contracted towards the mean of its distribution. To shed light on this effect, we explored, in the following article, the causes of this bias and how behavior relates to population firing activity:

Serrano-Fernandez, Beiran, and Parga. "Emergent perceptual biases from state-space geometry in trained spiking recurrent neural networks." Cell Reports (2024).
DOI: https://doi.org/10.1016/j.celrep.2024.114412
DOI: 10.6084/m9.figshare.24955719.v1
title: Identification and Description of Emotions by Current Large Language Models - Dataset

description: The assertion that artificial intelligence (AI) cannot grasp the complexities of human emotions has been a long-standing debate. However, recent advancements in large language models (LLMs) challenge this notion by demonstrating an increased capacity for understanding and generating human-like text. In this study, we evaluated the empathy levels and the identification and description of emotions by three current language models: Bard, GPT 3.5, and GPT 4. We used the Toronto Alexithymia Scale (TAS-20) and the 60-question Empathy Quotient (EQ-60) questions to prompt these models and score the responses. The models' performance was contrasted with human benchmarks of neurotypical controls and clinical populations. We found that the less sophisticated models (Bard and GPT 3.5) performed inferiorly on TAS-20, aligning close to alexithymia, a condition with significant difficulties in recognizing, expressing, and describing one's or others' experienced emotions. However, GPT 4 achieved performance close to the human level. These results demonstrated that LLMs are comparable in their ability to identify and describe emotions and may be able to surpass humans in their capacity for emotional intelligence. Our novel insights provide alignment research benchmarks and a methodology for aligning AI with human values, leading toward an empathetic AI that mitigates risk.
DOI: 10.17632/z8crmzmz7t
title: Sustainability Assessment and Reporting Frameworks Matrix

description: The data provided on the 'Matrix' tab of this excel workbook is the data used for analyses conducted in the whitepaper 'Demystifying sustainability assessment and reporting frameworks https://assets.ctfassets.net/o78em1y1w4i4/vsnNF0bJcJgdMSWUJuHL0/5abac6ecfc7268caacc7d83aac4b2fbf/Elsevier_Sustainability_Frameworks_Whitepaper.pdf. An analysis of six of the most popular frameworks used by higher education institutions (HEIs) and a step-by-step guide to help HEIs get started' (2023). The whitepaper aims to provide a comprehensive and objective analysis of six of the most popular sustainability frameworks used by HEIs. Our hope is that whitepaper will demystify sustainability assessment frameworks and help institutional leaders identify which of them is best placed to help their organizations drive action and achieve sustainable outcomes. We also hope the guide will prove a valuable resource for sustainability practitioners and students with an interest in this topic. The matrix is a searchable database of indicators that can be analysed. Please note that the frameworks vary considerably in their methods and this needs to be taken into consideration when conducting analyses with the matrix.  
Use our infographic to understand what each sustainability and reporting framework measures https://assets.ctfassets.net/o78em1y1w4i4/57Fu7d8NByerd7UEoSn2fv/eae1d30f2bd3e75ba9350d8a30e97b63/Elsevier_SDG-GRI-Infographic-.pdf
DOI: 10.17632/6gs5mwmygm
title: BRT

description: Behavioral reasoning theory - Green Product Purchase Intention
DOI: 10.17632/c6rtjbdymy
title: Replication codes for "Spatial Equilibria: The Case of Two Regions" by Kucheryavyy, Lyn, and Rodríguez-Clare

description: This project contains replication codes for "Spatial Equilibria: The Case of Two Regions" (2024) by Kucheryavyy, Lyn, and Rodríguez-Clare
DOI: 10.6084/m9.figshare.5554597.v1
title: Experiment HaLT-SubjectE-160304-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.17632/2ctt7v4c8k
title: Supplementary Figures

description: Supplementary Figures: Genetic Basis of Autoinflammatory Skin Diseases. Part I. Genetic Pathways of Complex Autoinflammatory Skin Diseases
DOI: 10.17632/67m9hwhrbg
title: 110 years of LSU Rice Breeding Program: scripts and datasets

description: This research aimed to understand the critical role of adopting advanced breeding tools and optimizing breeding strategies to ensure the sustainability and success of public breeding programs in meeting future food security challenges. In this context, we estimated the genetic gains achieved over 110 years in the rice breeding program of Louisiana State University (LSU) and evaluated through stochastic simulations the impacts of modern selection tools such as genomic selection (GS) and high-throughput phenotyping (HTP).
DOI: 10.6084/m9.figshare.22242724.v1
title: The evolution of human altriciality and brain development in comparative context

description: Datasets and scripts used to carry out analyses of developmental patterns across mammals, with a particular focus on the comparison of humans with other species. The study includes and in-depth analysis of data on neonatal and adult brain and body size across 140 species of placental mammals. The study includes a comparison of the proportion of neonatal to adult brain and body size across the major orders of mammals. It also includes the measurement of branch-specific evolutionary rates across the mammalian phylogeny, as well as a comparison of the scaling relationships between neonatal and adult values between orders based on phylogenetic ANCOVAs. The final part of our study includes an inference of whether key neurodevelopmental events happened pre- or postnatally across different hominin species, which is based on published models by Workman et al (2013).
DOI: 10.17632/s7p4k4xcg7
title: CONCRETE FOR LOWER KIHANSI DAM

description: This paper presents detailed information on concrete used in the construction of Lower Kihansi Dam. The paper outlines the procedure used in concrete production, aggregate production, cement selection, concrete mix design and measures taken to avoid thermal cracks in massive dam concrete.
DOI: 10.17632/vbk89crvsh
title: Network Analysis of South African Commuter Railway Networks

description: This dataset contains the network analysis based on the network properties and characteristics of the South African Gauteng, Western Cape and KwaZulu-Natal Metrorail commuter rail networks. It also contains the information of 33 international metro railways reproduced from S. Derrible and C. Kennedy, Characterizing metro networks: state, form, and structure, Transportation 37 (2010) 275-297, for comparison purposes.