cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/yxn6cc8st4
title: Data for: Why wait for the verb? Turkish speaking children use case markers for incremental language comprehension

description: The datasets include: (i) the raw gazedata collected by Tobii T60 eye-tracker in the visual-world eye-tracking study by Ozge, Kuntay, and Snedeker (accepted for publication in Cognition) that test the predictive interpretation of case markers by Turkish-speaking children and adults; (ii) the processed version of this data used for various types of analyses, and (iii) the data for the relatedness study, which is the norming study we conducted to test to what extent the topic entity (the first entity) in each item used in the eye-tracking experiment is related to the other entities it appears in each context (i.e., plausible agent and plausible patient). The aim of the visual-world eye-tracking experiment was to see whether children are able to interpret the case marking on the first noun in an utterance to predict the thematic role of the upcoming entity in the utterance before this second entity and the verb appears. In Experiment 1, we used utterances that had a verb-medial order (i.e., Noun1-Verb-Noun2) and we found that while adults were able to use the case marking information prior to the verb information, children were able to do so only after the verb was available. In Experiment 2, we used verb-final utterances (i.e., Noun1-Noun2-Verb) that allowed more time to process the case marking on the first noun and we found that children were similar to adults in using the case marking information to predict the identity of the second noun prior to the second noun and the verb.
DOI: 10.6084/m9.figshare.12377741.v1
title: Data used in AutoTax paper

description: Data used in the paper "Comprehensive ecosystem-specific 16S rRNA gene databases with automated taxonomy assignment (AutoTax) provide species-level resolution in microbial ecology", see reference.
DOI: 10.6084/m9.figshare.8146061.v1
title: 16S_OTU_table.txt.zip

description: The V3-V4 hypervariable region of the bacterial 16SrRNA gene was amplified with 341F/805R primers. For detailed sequencing methods, see Delgado-Baquerizo et al 2018. Data were processed using the USEARCH10 pipeline. Unique sequences were identified using usearch10 -fastx_uniques, and clustered at 97% identity to “Operational Taxonomic Units” (OTUs) with usearch10. <br>
DOI: 10.17632/hjxg9vpvtv
title: Sugar response and gustatory gene expression in the stingless bee Tetragonisca fiebrigi

description: Sugar detection and gustatory responsiveness are critical for foraging success in bees, influencing their ability to locate and exploit nectar and pollen sources. Here, we investigated the sugar response thresholds and the expression of two candidate gustatory receptor genes (TfieGr1 and TfieGr3) in the antennae and proboscises of foragers of the stingless bee Tetragonisca fiebrigi. Proboscis extension assays revealed that returning pollen foragers (PF) exhibited lower sugar response thresholds and higher sensitivity to sucrose, glucose, and fructose than returning nonpollen foragers (NPF), suggesting that NPF could be mainly engaged in finding high-quality nectar sources. In addition, more than 60% of PF responded to all sugars tested while NPF showed a strong preference for sucrose and glucose, with only 4% responding to fructose. Molecular experiments revealed no significant differences in TfieGr1 and TfieGr3 expression levels between PF and NPF in either sensory tissue. These findings suggest that other gustatory receptors or mechanisms, such as central processing or internal nutrient sensing, may underlie the observed behavioral differences. Our results highlight potential species-specific adaptations in sugar detection mechanisms and underscore the importance of integrating behavioral, molecular, and ecological approaches to understanding foraging strategies in stingless bees.
DOI: 10.6084/m9.figshare.3550086.v1
title: Appendix A. Site information and climatic data.

description: Site information and climatic data.
DOI: 10.6084/m9.figshare.6881282.v1
title: 情感词典修改版

description: 情感词典
DOI: 10.17632/mp4h92fydm
title: Data for: Spatial Relationship between Economic Growth and Renewable Energy Consumption in 26 European Countries

description: Renewable Energy Consumption in 26 European Countries
DOI: 10.6084/m9.figshare.12234704.v1
title: 3733 HQ and MQ metagenome-assembled genomes from 23 Danish WWTP

description: This is the data associated with the HQ MAGs recovered from the activated sludge of Danish wastewater treatment plants. Here we include the medium quality as well as high quality MAGs for quick and easy download. The HQ MAGs and metagenome data used to create all MAGs are also in NCBI. MQ MAGs can only be found here.
DOI: 10.6084/m9.figshare.19632735.v1
title: 2020 cscb data.xlsx

description: Data collected on habitat and captures for the Cook Strait click beetle on Te Pākeka//Maud Island, New Zealand
DOI: 10.6084/m9.figshare.21339999.v1
title: Protein abundances matrix

description: Protein abundance was then estimated using a traditional label-free, intensity-based absolute quantification (iBAQ) algorithm, which divided the protein abundance (derived from intensities of the identified peptides) by the number of theoretically observable peptides. Fraction of total (FOT) is a relative quantification value defined as a protein’s iBAQ divided by the sum of the iBAQ of all proteins identified in an experiment, calculated as the normalized abundance of a particular protein in the experiment. Finally, for the ease of presentation, the FOT was further multiplied by 1e5.
DOI: 10.6084/m9.figshare.27143766.v2
title: <b>Genetically Encoded Green Fluorescent Sensor for Probing Sulfate Transport Activity of Solute Carrier Family 26 Member a2 (Slc26a2) Protein</b>

description: Raw data files for main text and Supplementary Figures (see file name for annotations).
DOI: 10.17632/c7w44xd78k
title: Health Expenditure and Health Outcomes: Evidence from SAARC Countries

description: Secondary data for research
DOI: 10.6084/m9.figshare.16586915.v3
title: Atlas Of Coevolution

description: Alignment, phylogeny, substitution mapping, simulation results for the atlas of protein coevolution.This archive contains all input data file per family, with the exception of raw simulation results.The archive is in three parts which should be combined with<pre>cat Families-nonull-070921.tgz.?? &gt; Families-nonull-070921.tgz<br></pre>The integrity of the archive should then be check with<pre>md5sum -c Families-nonull-070921.tgz.md5sum</pre><br><pre><br></pre><pre><br><br></pre><br>
DOI: 10.6084/m9.figshare.23661045.v1
title: Sleep and Stress Data.xlsx

description: Data from a study looking at first year graudate allied health students' stress and sleep quality during their first two semesters.
DOI: 10.6084/m9.figshare.27208434.v5
title: Supplementary Data

description: <b>Reconfigurable nanomaterials folded from multi-component chains of DNA origami voxels</b><br>Minh Tri Luu<sup>1,2,3,4</sup>, Jonathan F. Berengut<sup>1,4,5,6</sup>, Jiahe Li<sup>1</sup>, Jing-Bing Chen<sup>1</sup>, Jasleen Kaur Daljit Singh<sup>1,3,4</sup>, Kanako Coffi Dit Glieze<sup>1,4</sup>, Matthew Turner<sup>1</sup>, Karuna Skipper<sup>1,4</sup>, Sreelakshmi Meppat<sup>1,4</sup>, Hannah Fowler<sup>7</sup>, William Close<sup>8</sup>, Jonathan P.K. Doye<sup>7</sup>, Ali Abbas<sup>3,4</sup>, Shelley F.J. Wickham<sup>1,2,4</sup><sup>1 </sup>School of Chemistry, The University of Sydney, Sydney, NSW 2006, Australia<sup>2 </sup>School of Physics, The University of Sydney, Sydney, NSW 2006, Australia<sup>3 </sup>School of Chemical Engineering, The University of Sydney, NSW 2006, Australia<sup>4 </sup>The University of Sydney Nano Institute, The University of Sydney, Sydney, NSW 2006, Australia<sup>5 </sup>EMBL Australia Node for Single Molecule Science, School of Biomedical Sciences, University of New South Wales, Sydney 2052, Australia<sup>6 </sup>ARC Centre of Excellence in Synthetic Biology, University of New South Wales, Sydney, Australia<sup>7 </sup>Physical and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, Oxford, UK<sup>8 </sup>Australian Centre for Microscopy & Microanalysis, The University of Sydney, Sydney, NSW 2006, AustraliaE-mail: shelley.wickham@sydney.edu.auPhone: +61 2 9351 3366
DOI: 10.6084/m9.figshare.7410440.v1
title: Sensitivity of EMIC wave-driven scattering loss of ring current protons to wave normal angle distribution

description: Electromagnetic ion cyclotron (EMIC) waves have long been recognized to play a crucial role in the dynamic loss of ring current protons. While the field-aligned propagation approximation of EMIC waves was widely used to quantify the scattering loss of ring current protons, in this study, we find that the wave normal distribution strongly affects the pitch-angle scattering efficiency of protons. Increase of peak wave normal angle or angular width can considerably reduce the scattering rates of &lt; 10 keV protons. For &gt; 10 keV protons, the field-aligned propagation approximation results in a pronounced underestimate of the scattering of intermediate pitch-angle protons and overestimates the scattering of high pitch-angle protons by orders of magnitude. Our results suggest that the wave normal distribution of EMIC waves plays an important role in the pitch-angle evolution and scattering loss of ring current protons and should be carefully incorporated in future global modeling of ring current dynamics. <br>
DOI: 10.17632/4xtkkh65zf
title: Data for: Acrylamide Levels in Coffee Powder, Potato Chips and French Fries in Addis Ababa City of Ethiopia

description: All analytical raw data obtained from the HPLC for the acrylamide detection of roasted coffee, potato chip and French fries.
DOI: 10.17632/5vm229zszk
title: Hazrat Shajalal International Airport Flight Delay Prediction Dataset-2022

description: This dataset contains flight departure records from Hazrat Shahjalal International Airport (HSIA), Dhaka, covering the period from 2022 . It has been compiled to support research on flight delay prediction using machine learning . The dataset includes key features such as *scheduled departure time, actual departure time, delay duration, airline details* and other relevant attributes that impact flight delays.

The data has been collected from publicly available sources and verified for consistency. This dataset can be used to develop predictive models, analyze delay patterns, and enhance airport operational efficiency. It is particularly useful for researchers working on machine learning, transportation analytics, and air traffic management
DOI: 10.6084/m9.figshare.22283922.v1
title: Interpretation of spatio-temporal variation of precipitation from spatially sparse measurements using Bayesian compressive sensing (BCS)

description: Precipitation might change rapidly and vary spatially, therefore, knowledge on spatio-temporal variation of precipitation plays a pivotal role in water resources management, hydrogeological hazard and risk assessment, and city resilience enhancement. However, precipitation monitoring data are collected through a limited number of precipitation stations in practice, and they are often sparse and discontinuous, particularly in spatial domain. Furthermore, regional precipitation data exhibits characteristics of seasonality, periodicity and highly non-stationarity on a long-time scale. Therefore, it is challenging to obtain a spatio-temporal variation of precipitation with high spatial resolution from monitoring data measured at a limited number of precipitation stations. To address these challenges, this study develops a non-parametric spatio-temporal Bayesian compressive sensing (ST-BCS) method for interpolation of spatio-temporally varying, but sparsely measured precipitation data in the spatial domain. The proposed method is able to not only provide precipitation interpolation results with high spatial resolution from a limited number of monitoring stations, but also quantify the associated interpolation uncertainty simultaneously. In addition, ST-BCS is directly applicable to the non-stationary spatio-temporal meteorological data. Furthermore, real precipitation datasets are established to benchmark different spatio-temporal interpolation methods. The benchmarking results show that the proposed ST-BCS method performs well and outperforms the spatial BCS method.
DOI: 10.6084/m9.figshare.19180667.v1
title: Supplementary Material for: Genetic Analyses of Enamel Hypoplasia in Multiethnic Cohorts

description: Enamel hypoplasia causes reduction in the thickness of affected enamel and is one of the most common dental anomalies. This defect is caused by environmental and/or genetic factors that interfere with tooth formation, emphasizing the importance of investigating enamel hypoplasia on an epidemiological and genetic level. A genome-wide association of enamel hypoplasia was performed in multiple cohorts, overall comprising 7,159 individuals ranging in age from 7-82 years. Mixed-models were used to test for genetic association while simultaneously accounting for relatedness and genetic population structure. Meta-analysis was then performed. More than 5 million single-nucleotide polymorphisms were tested in individual cohorts. Analyses of the individual cohorts and meta-analysis identified association signals close to genome-wide significance (P &lt; 510-8), and many suggestive association signals (510-8 &lt; P &lt; 510-6) near genes with plausible roles in tooth/enamel development. The strongest association signal (P = 1.5710-9) was observed near BMP2K in one of the individual cohorts. Additional suggestive signals were observed near genes with plausible roles in tooth development in the meta-analysis, such as SLC4A4 which can influence enamel hypoplasia. Additional human genetic studies are needed to replicate these results and functional studies in model systems are needed to validate our findings.
DOI: 10.6084/m9.figshare.20000558.v6
title: impact of shocks on household vulnerability.xlsx

description: <strong>impact of shocks on household vulnerability</strong>
DOI: 10.6084/m9.figshare.20905837.v1
title: HE images of oral squamous cell carcinoma

description: Supplement to paper about epithelial-mesenchymal plasticity in oral squamous cell carcinoma. Added are H&E stained FFPE tissue samples of samples form 7 patients, including primary tumors, lymph node metastasis and unaffected lymph nodes.
DOI: 10.6084/m9.figshare.24417130.v1
title: The Role of Self-rated Sexual Functioning in General Life Satisfaction of Generation X, Y, Z. Does Pornography Use Matter?

description: The present study targeted psychological variables related to sexuality that may play a role in the intergenerational differences in life satisfaction. The present study targeted to explore the predictive role of sexual functioning and problematic pornography use on life satisfaction in three cohorts related perspective, considering generational identity (Gen X, Gen Y, Gen Z). This research was conducted on a multigenerational sample, given the acknowledged role of sexuality in life satisfaction, considering age and generational characteristics. In general, previous articles do not work with more than one generation at a time or do not focus specifically on generational cohorts. The relationship between life satisfaction and sexuality has been much discussed in previous research, but not in intergenerational studies. Most articles focus mainly on the younger population, data regarding the older age group is scarce. Sexual functioning and sexual dysfunctions are often targeted psychological variables of sexuality. Problematic online pornography use is however a less researched topic, especially in the case of older generational cohorts, like Gen X and Baby boomers. As formerly presented, sexual functioning has a key role in adult life satisfaction, but there is a scarcity in cohort-based approach, when generational identity is considered.
DOI: 10.6084/m9.figshare.25909081.v1
title: scaffolded_genomes

description: Link to genome metadata and detailed descriptions:https://figshare.com/articles/figure/Supplementary_Table_1/25869319bioRxiv preprint:https://www.biorxiv.org/content/10.1101/2024.05.21.595196v1
DOI: 10.17632/cfyhsy6rr5
title: Data for XRD, SEM-EDX, FT-IR, and XPS analyses for waste foundry dust before and after batch sorption tests using As(III) and Cr(VI) aqueous solutions

description: Waste foundry dust (WFD), an industrial by-product can be used as a reactive material to treat wastewater. XRD, SEM-EDX, FT-IR, and XPS analyses were performed on WFD samples, obtained before and after the batch sorption tests using As(III) and Cr(VI) aqueous solutions under various conditions (i.e., initial pH and reaction time) for determining As(III) and Cr(VI) removal characteristics. XRD analysis was conducted to determine the change in the mineral phase of the samples after the batch sorption tests. Quartz (SiO2), microcline (KAlSi3O8), and magnetite (Fe3O4) were observed for all samples. For the FT-IR analysis, in all samples, peaks were observed at 585 (Fe-O), 773 (Si-O), 1010 (Si-O-Si), 1560 (C=C), 2115 (C=C), 2340-2372 (O=C=O), and 2650-2700 (C-H) cm-1. The peaks above 1560 cm-1 are related to organic matters in the WFD, and peaks below 1010 cm-1 are related to quartz, microcline, and magnetite. For the SEM-EDX analysis, the major elements detected in the WFD samples before and after the batch sorption tests were Si, Al, and Fe. In addition, a small amount of As and Cr were detected in A-and B-series samples, respectively. For the XPS analysis, 1s peaks for C-C, C-O, and C=O were observed at a binding energy of 284.8, 286.0, and 287.0 eV. Only SiO2 peak for Si 2p was observed at 103.8 eV. Oxygen in all samples was mainly present in the form of SiO2, Fe-O, and M-OH.
DOI: 10.6084/m9.figshare.2073028.v1
title: The use of Multi Agent Systems in Cloud e-Learning

description: In recent years, personalization and customization in cloud services are more than evident. Cloud e-Learning (CeL) is an upgraded model of traditional e-Learning which aims to offer personalization, collaboration through interaction and structured customized learning content. Cloud e- Learners will express their preferences and be offered courses as a result of a multi-agent system (MAS) interaction which will match learners’ profiles and preferences with content of the learning cloud. The level of intelligence of the multi-agent system will continually increase as more learners interact with the system. Actual learning will be evaluated by agents and learners, thus providing opportunities to change preferences, domain interests and desired level of knowledge. Agents will be semantically assisted by ontologies. In this paper, we define a scenario for CeL and demonstrate the need for MAS and semantic annotation. We also present a tentative abstract architecture and speculate on future work.
DOI: 10.6084/m9.figshare.26517574.v1
title: Heritability & Genotype-by-age interaction in house sparrow telomere length

description: Data and R code used in the manuscript "Heritability and age-dependent changes in genetic variation of telomere length in a wild house sparrow population".
DOI: 10.6084/m9.figshare.28807028.v1
title: Typical RES production profiles for Greece (PV and Wind) and NECP derived wholesale electricity market prices

description: Typical RES production profiles for Greece (PV and Wind) and NECP derived wholesale electricity market prices
DOI: 10.17632/cknf9fvybr
title: Dataset of Learners’ interactions in Forum discussions

description: During the second semester of the year 2016/2017, an educational experience was made at a high school in Kenitra (Morocco), spanning two months. Our main objective is to collect the interactions among high school students to evaluate them. In order to achieve this goal, we have developed an LMS platform Moodle to administer computer science courses. Indeed, we have chosen discussion forums as the main activity to exchange and share knowledge among learners.
DOI: 10.6084/m9.figshare.11593899.v4
title: Fiscal stress and economic and financial variables

description: The database used includes annual frequency data for 43 countries, defined by the IMF as 24 advanced countries and 19 emerging countries, for the years 1992-2018.<br><br>The database contains the fiscal stress variable and a set of variables that can be classified as follows: macroeconomic and global economy (interest rates in the US, OECD; real GDP in the US, y-o-y, OECD; real GDP in China, y-o-y, World Bank; oil price, y-o-y, BP p.l.c.; VIX, CBOE; real GDP, y-o-y, World Bank, OECD, IMF WEO; GDP per capita in PPS, World Bank); financial (nominal USD exchange rate, y-o-y, IMF IFS; private credit to GDP, change in p.p., IMF IFS, World Bank and OECD); fiscal (general government balance, % GDP, IMF WEO; general government debt, % GDP, IMF WEO, effective interest rate on the g.g. debt, IMF WEO); competitiveness and domestic demand (currency overvaluation, IMF WEO; current account balance, % GDP, IMF WEO; share in global exports, y-o-y, World Bank, OECD; gross fixed capital formation, y-o-y, World Bank, OECD; CPI, IMF IFS, IMF WEO; real consumption, y-o-y, World Bank, OECD); labor market (unemployment rate, change in p.p., IMF WEO; labor productivity, y-o-y, ILO).<br><br>In line with the convention adopted in the literature, the fiscal stress variable is a binary variable equal to 1 in the case of a fiscal stress event and 0 otherwise. In more recent literature in this field, the dependent variable tends to be defined broadly, reflecting not only outright default or debt restructuring, but also less extreme events. Therefore, following Baldacci et al. (2011), the definition used in the present database is broad, and the focus is on signalling fiscal stress events, in contrast to the narrower event of a fiscal crisis related to outright default or debt restructuring. Fiscal problems can take many forms; in particular, some of the outright defaults can be avoided through timely, targeted responses, like support programs of international institutions. <br><br>The fiscal stress variable is shifted with regard to the other variables: crisis_next_year – binary variable shifted by 1 year, all years of a fiscal stress coded as 1; crisis_next_period – binary variable shifted by 2 years, all years of a fiscal stress coded as 1; crisis_first_year1 – binary variable shifted by 1 year, only the first year of a fiscal stress coded as 1; crisis_first_year2 - binary variable shifted by 2 years, only the first year of a fiscal stress coded as 1.<br><br>
DOI: 10.6084/m9.figshare.3759321.v2
title: Critical current characterisation of Fujikura FYSC 2G HTS superconducting wire

description: Detailed measurements of the critical current of a commercial 2G HTS YBCO wire as a function of temperature, magnetic field, and field angle, performed at the Robinson Research Institute of Victoria University of Wellington.