cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/k3j772tmwk
title: Expectations about dynamic visual objects facilitates early sensory processing of congruent sounds

description: In everyday life, the perception of a moving object can lead to the expectation of an object’s sound, yet little is known about how visual expectations influence early auditory processing. We examined how dynamic visual input – an object moving continuously across the visual field – influences early auditory processing of a sound that is either congruent with the object’s motion, and thus likely perceived as being part of the visual object, or incongruent with the object’s motion. In Experiment 1, EEG activity was recorded from 29 adults who passively viewed a ball that appeared either on the far left or right boundary of a display and continuously traversed along the horizontal midline to make contact and elicit a bounce sound off the opposite boundary. Our main analysis focused on the auditory-evoked event-related potential. For audio-visual (AV) trials, a knocking sound accompanied the visual input the moment the ball made contact with the opposite boundary (AV-synchronous), or the sound occurred shortly before contact (AV-asynchronous). We also included audio-only and visual-only trials. For Experiment 1, AV-synchronous sounds elicited an earlier and attenuated auditory response relative to AV-asynchronous or audio-only events. Experiment 2 was conducted to examine the roles of expectancy and multisensory integration in influencing this early auditory response. In addition to the audio-only, AV-synchronous, and AV-asynchronous conditions, 19 adults were shown a ball that became visually occluded prior to reaching the boundary of the display, but elicited an expected knocking sound at the point of occluded collision. Here, the auditory response during the AV-occluded condition resembled the AV-synchronous condition, suggesting that expectations induced by a moving object can influence early auditory processing. Broadly, the results suggest that dynamic visual stimuli can help generate expectations about the timing of auditory events, which then facilitates the processing of auditory information that matches these expectations. Each version of this online data repository reflects revisions made to the manuscript post-peer review. The EEG/ERP data attached (.set/.fdt files) were processed in MATLAB using EEGLAB/ERPLAB software. These files can be found in the "Segmented ERP Data" folder. EEG/ERP data were processed using the scripts contained within the "EEG ERP Scripts (MATLAB)" folder. The EEG data were processed using the specifications outlined below. N1 and P2 peak amplitude and latency stats and other relevant data sets are contained within the "Data Sets (Long Format)" folder. All statistical analyses were conducted in R, and the scripts used to conduct such analyses can be found in the "R Scripts" folder. The E-prime scripts and the stimuli used for each experiment can be found in the "Experiment Stimuli and Scripts" folder. Raw EEG data sets are also available for download via a separate online data repository (osf.io/d245g/).
DOI: 10.17632/th853s9bdt
title: Advances and setbacks in partnerships for the sustainable development goals in rural women data set for a systematic literature review.

description: Search strategy and data set for SDG17: TITLE-ABS-KEY ( "partnerships for the goals" )  AND  TITLE-ABS-KEY ( "rural women"  OR  "rural population*"  OR  "rural area"  OR  "rural"  OR  "urban rural difference"  OR  "rural workers"  OR  "internal migration"  OR  "rural areas" )
DOI: 10.17632/x5wsg5h7m3
title: Qualitative Interviews About Antibiotics Decisions in Older Adults

description: Datasets for the manuscript title: Older adults’ and caregivers’ perceptions about urinary tract infection and asymptomatic bacteriuria guidelines: a qualitative exploration. It includes 30 interview transcripts and associated files.
DOI: 10.6084/m9.figshare.21277731.v1
title: The temporal dynamics of selective attention are reflected by distractor intrusions

description: The file the full behavioural results from 2 experiments. Each sheet reflects one experiment.
DOI: 10.6084/m9.figshare.21970808.v3
title: BinSPreader binning refining protocol

description: Metagenome analysis based on high-throughput sequencing data often includes contig binning as an essential step to recover complete genomes from metagenomic data (MAGs). Binning is carried out by clustering contigs, presumably belonging to the same species. Interspecies repeats, uneven coverage, and varying numbers of related strains make the assembly process difficult and therefore affect binning, as shorter contigs are often discarded by binners. In the original paper in STAR protocols journal (2023) we introduce instructions on how to refine binning with BinSPreader – a tool that corrects binning errors and propagates binning to shorter contigs using the assembly graph topology and other connectivity information. This repo contains all files that are needed to reproduce the protocol.
DOI: 10.6084/m9.figshare.25209278.v1
title: Identified best time windows for each pixel and each environmental variable influence on roosting phenology

description: Migratory birds are under threat by climate change. Successfully conserving them, requires knowing which climatic factors drive changes in their migratory behavior. Assessing the influence of weather on migratory bird is challenging, however, due to the temporal and spatial uncertainties in breeding, roosting, and wintering grounds. Weather may affect these temporally disjointed life stages separately and through carry-over effects, but they are often not studied together. Coupling migratory bird movements estimated using weather radar (NEXRAD) with long-term and large-scale environmental data, allows us to overcome these spatiotemporal uncertainties. Here, we assess environmental drivers of the phenology of post-breeding roosting of aerial insectivores in the Great Lakes region (USA) by evaluating predictors during the months leading up to roosting across species’ ranges. We conduct a spatially-explicit time-window analysis to examine the effects of 17 gridded weather and vegetation variables on swallow peak roosting phenology in the Great Lakes, which has advanced by 4.5 days over the past two decades. Our analysis spans a 21-year (2000-2020) time series and covers areas across Canada and the northern United States. We found that peak roosting timing is paced by both local conditions at the Great Lakes and distant conditions at the likely breeding and stopover sites, with warmer temperature advancing, headwind delaying, and high precipitation advancing the phenophases. Time windows selected for the possible breeding and stopover sites are mostly before or around the time of roosting, with one exception during wintertime. Our results fill in some of the remaining knowledge gaps in swallows’ migration ecology and, more generally, in migratory birds’ responses to ongoing climate change.
DOI: 10.6084/m9.figshare.29095091.v1
title: Datasets for tourism demand forecasting of Jiuzhaigou Valley and Siguniang Mountain

description: Datasets for tourism demand forecasting of Jiuzhaigou Valley and Siguniang Mountain, including arrivals, search index, weather, etc.
DOI: 10.6084/m9.figshare.3824142.v1
title: Supplementary Material for: From Childhood Trauma to Adult Dissociation: The Role of PTSD and Alexithymia

description: <strong><em>Background:</em></strong> The mechanism of how childhood trauma leads to increased risk for adult dissociation is not sufficiently understood. We sought to investigate the predicting effects and the putatively mediating roles of PTSD and alexithymia on the path from childhood trauma to adult dissociation. <b><i>Methods:</i></b> A total of 666 day-clinic outpatients were administered the Childhood Trauma Questionnaire (CTQ), the Toronto Alexithymia Scale (TAS-20), the Posttraumatic Diagnostic Scale (PDS), and the Dissociative Experiences Scale (DES) and controlled for sex, age, and the Global Symptom Index (GSI). Linear regression analyses and mediation analyses were applied. <b><i>Results:</i></b> Independent predictive effects on dissociation were found for childhood trauma, alexithymia and PDS, even after adjusting for GSI. Effects of childhood neglect on dissociation were slightly stronger than of abuse. Alexithymia did not mediate the path from childhood trauma to dissociation. Mediation by PDS was specific for childhood abuse, with all PTSD symptom clusters being significantly involved. <b><i>Conclusions:</i></b> Childhood abuse and neglect are important predictors of dissociation. While the effects of abuse are mediated by PTSD, the mechanism of how neglect leads to dissociation remains unclear. The results further support the predictive value of alexithymia for adult dissociation above and beyond the effects of childhood trauma, PTSD, and GSI scores.
DOI: 10.17632/t7xyspk9wy
title: Geothermal play fairway analysis in north-western Argentina

description: This dataset is a compilation of existing and new publicly-available geoscience data that were used to conduct a geothermal play fairway analysis (PFA) in north-western Argentina in the Jujuy and Salta provinces. The 'Model_Input_Datasets' folder includes the original ArcGIS shapefiles and rasters that were used to build the geological favorability models (attribute models) for heat, permeability and fluid. Detailed metadata for each dataset (e.g. provenance; use constraints etc.) can be viewed for each file in ArcCatalog. The 'Area_One' shapefile represents the study area boundary that was used to define the processing extent for the PFA models. The favorability models were built using the ModelBuilder tool in ESRI ArcGIS (this model was run using ESRI ArcMap version 10.7.1). The 'Python_Scripts' folder includes python scripts for building each of the three attribute models (heat, permeability, fluid) and the total combined geothermal favorability model using either the sum (voter) or product (veto) methods. The 'ProcessingNotes_for_PFA_model_development.v2' file (.xlsx or .pdf format) includes a description of the various steps used to weight individual data attribute fields, data layers themselves, and overall model development. This file complements the python scripts. This dataset accompanies a paper submitted to Geothermics by Lindsey et al., 2021, 'Geothermal play fairway analysis in north-western Argentina'.
DOI: 10.6084/m9.figshare.28295246.v2
title: Question - Unlocking Engagement: Exploring the Drivers of Elderly Participation in Digital Backfeeding through Community Education

description: This survey aims to understand the relevant information and opinions on the factors that affect the elderly's participation in digital feedback. Taking community education as a breakthrough, we hope to find the impact of various factors of community education on the elderly's willingness to participate in digital feedback, and try to explore the mediating role of technical factors and psychological factors in it, in order to better design community education forms and aging-friendly digital products, maximize their value, help the elderly improve their willingness to access digital spirits, and get rid of the dilemma of digital refugees
DOI: 10.6084/m9.figshare.29162837.v1
title: real_world_function

description: Containing 10 problems collected from the [DevEval](https://github.com/seketeam/DevEval) dataset.
DOI: 10.6084/m9.figshare.3117286.v2
title: A lower bound error for free-run simulation of the polynomial NARMAX

description: A lower bound error for free-run simulation of the polynomial NARMAX (Nonlinear AutoRegressive Moving Average model with eXogenous input) is introduced. The ultimate goal of the polynomial NARMAX is to predict an arbitrary number of steps ahead. Free-run simulation is also used to validate the model. Although free-run simulation of the polynomial NARMAX is essential, little attention has been given to the error propagation to round off in digital computers. Our procedure is based on the comparison of two pseudo-orbits produced from two mathematical equivalent models, but different from the point of view of floating point representation. We apply successfully our technique for three identified models of the systems: sine map, Chua's circuit and Duffing–Ueda oscillator. This technique may be used to reject a simulation, if a required precision is greater than the lower bound error, increasing the numerical reliability in free-run simulation of the polynomial NARMAX.
DOI: 10.6084/m9.figshare.7931423.v3
title: ROADKILL RISK AND POPULATION VULNERABILITY IN EUROPEAN BIRDS AND MAMMALS

description: Datasets related to the publication <i>Grilo C, Koroleva E, Andrášik R, Bíl M, González-Suárez M 2020. Roadkill risk and population vulnerability in European birds and mammals. Frontiers in Ecology and the Environment. </i> <br>Data include: birds and mammals roadkill data, birds and mammals traits, predicted roadkill rates for birds and mammals, ranking of birds and mammals regarding the vulnerability to roadkill and shapefiles on the estimated number of individuals roadkilled on birds and mammals and number of vulnerable bird and mammal species.Further details on the dataset at the supplementary material of the publication (WebPanel 1).<strong> </strong><br>
DOI: 10.25452/figshare.plus.19311938.v1
title: UA_L-DoTT: University of Alabama's Large Dataset of Trains and Trucks - Dataset Repository

description: UA_L-DoTT (University of Alabama's Large Dataset of Trains and Trucks) is a collection of camera images and 3D LiDAR point cloud scans from five different data sites. Four of the data sites targeted trains on railways and the last targeted trucks on a four-lane highway. Low light conditions were present at one of the data sites showcasing unique differences between individual sensor data. The final data site utilized a mobile platform which created a large variety of viewpoints in images and point clouds. The dataset consists of 97,397 raw images, 11,415 corresponding labeled text files, 354,334 raw point clouds, 77,860 corresponding labeled point clouds, and 33 timestamp files. These timestamps correlate images to point cloud scans via POSIX time. The data was collected with a sensor suite consisting of five different LiDAR sensors and a camera. This provides various viewpoints and features of the same targets due to the variance in operational characteristics of the sensors. The inclusion of both raw and labeled data allows users to get started immediately with the labeled subset, or label additional raw data as needed. This large dataset is beneficial to any researcher interested in using machine learning using cameras, LiDARs, or both.<br><i>Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the U.S. Army.</i>
DOI: 10.6084/m9.figshare.22308481.v1
title: gene.prediction

description: gene.prediction <br>
DOI: 10.6084/m9.figshare.24208443.v1
title: Text sample datasets and AI detectors test results

description: This dataset includes three distinct subsets of text:Open Access Academic Articles: A collection of 100 open-access articles from various academic journals focused on mental health and psychiatry published between 2016-2018. The articles are selected from reputable journals including JAMA, The Lancet Psychiatry, WPJ, and AM J Psy.ChatGPT-Generated Texts: Discussion section samples generated by ChatGPT (GPT-4 model, version as of August 3, 2023, OpenAI) that are designed to imitate the style and content of academic articles in the field of mental health and psychiatry.Claude-Generated Texts: Discussion section samples generated by Claude (Version 2, Anthropic) with the aim of imitating academic articles in the same field.Additionally, the dataset contains the results of tests performed using ZeroGPT and Originality.AI to evaluate the AI texts vs the academic articles for the percentage of texts identified as being AI-generated.Please cite this dataset if you make use of it in your research.
DOI: 10.17632/552r52kmgb
title: HEALTHCARE PROVIDER FRAUD DETECTION ANALYSIS

description: This is a U.S. Medicare fraud data with four datasets
DOI: 10.17632/wnyh5mz8md
title: Dimensions of Quality framework for evaluating integrated management system: a case study in the construction industry

description: NOT APPLICABLE
DOI: 10.6084/m9.figshare.6731312.v1
title: Concepts

description: Concept definitions. File format: tab-delimited table; newline terminated. Columns: concept id - Unique numeric code identifying each concept. This is the key concept id referenced in the other files; concept name - The descriptive name of each concept; domain - The OMOP domain of each concept; vocabulary id - The source vocabulary which originally defined the concept (e.g., SNOMED-CT, RxNorm, etc); concept class id - The OMOP concept class; concept code - The identifier from the source vocabulary for this concept.
DOI: 10.6084/m9.figshare.7314323.v1
title: Getting the best of Linked Data and Property Graphs: rdf2neo and the KnetMiner Use Case

description: Paper submitted to SWAT4LS 2018. We introduce rdf2neo, a tool to populate Neo4j databases starting from RDF data sets, based on a configurable mapping between the two. By employing agrigenomics-related real use cases, we show how such mapping can allow for a hybrid approach to the management of networked knowledge, based on taking advantage of the best of both RDF and property graphs.
DOI: 10.17632/83xrdht7mz
title: ERSN-OpenMC-Py: A python-based open-source software for OpenMC Monte Carlo code

description: The graphical user interface is a key element in facilitating the use of complex simulation software. This project describes the development of a graphical user interface called “ERSN-OpenMC-Py” for an existing neutron simulation code, OpenMC. The main goal is to make simulation more accessible to a wider audience by providing a user-friendly and intuitive user interface. The process of developing the graphical user interface is described in detail, including the different stages of development such as user interface design, user interface implementation, and user interface integration with the OpenMC simulation code. The development tools used, such as Python3 and PyQt5, are also explained. The user interface allows the user to control the simulation parameters and interact with the simulation results. Key features of the user interface include visualization of simulation results, modification of simulation parameters, saving and loading simulation configurations, as well as managing output files. The end result is a functional user interface that allows users to easily visualize simulation results and control simulation parameters in an intuitive manner. This user interface also provides a better user experience for non-programming experts who wish to use the simulation code for their own projects.
DOI: 10.6084/m9.figshare.22691065.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.28719626.v1
title: Supplemental Data File 1

description: mRNA-seq_Vasculature_related_genes_PKD_1m_vs_WT_1m
DOI: 10.6084/m9.figshare.3543854.v1
title: Appendix D. Results of ANOVA with factors affecting amino acid δ13C values.

description: Results of ANOVA with factors affecting amino acid δ13C values.
DOI: 10.17632/6pkrbn2yct
title: Trade Reform, Oligopsony, and Labor Market Distortion: Theory and Evidence 

description: This folder contains replication files for the following manuscript:

Hoang Pham, "Trade Reform, Oligopsony, and Labor Market Distortion: Theory and Evidence", Journal of International Economics, forthcoming.

It contains information on how readers can access the data and program files for replication.
DOI: 10.17632/t7bfhtzhxg
title: FISETIO: A FIne-grained, Structured and Enriched Tourism Dataset for Indoor and Outdoor attractions

description: This data in brief paper introduces our publicly available datasets in the area of tourism demand prediction for future experiments and comparisons. Most previous works in the area of tourism demand forecasting are based on coarse- grained analysis (level of countries or regions) and there are very few works and datasets available for fine-grained tourism analysis as well (level of attractions and points of interest). In this article, we present our fine-grained datasets for two types of attractions – (I) indoor attractions (27 Museums and Galleries in U.K.) and (II) outdoor attractions (76 U.S. National Parks) enriched with official number of visits, social media reviews and environmental data for each of them. In addition, the complete analysis of prediction results, methodology and exploited models, features’ performance analysis, anomalies, etc, are available in our original paper
DOI: 10.6084/m9.figshare.22363549.v1
title: Demographics and behavioral data

description: Demographics and behavioral data
DOI: 10.6084/m9.figshare.26180200.v1
title: Source data for Alseth et al. 2025

description: Data for Alseth et al. 2025 paper titled "Mystique, a broad host range <i>Acinetobacter </i>phage, reveals the impact of culturing conditions on phage isolation and infectivity".
DOI: 10.6084/m9.figshare.28465688.v5
title: Identifying high-spin hydroxyl-coordinated Fe³⁺N₄ as the active centre for acidic oxygen reduction using molecular model catalysts

description: Here, we provide the raw data for all curves and data points presented in the figures of this article, along with the atomic coordinates of the optimized computational models for each structure discussed, available in a VASP-compatible file format.
DOI: 10.6084/m9.figshare.28873751.v1
title: Supplementary Material for: Psychometric properties of a culturally adapted Spanish version of the Attitudes Toward Genomics and Precision Medicine instrument

description: Background: There is evidence of growing racial and ethnic disparities in genomic healthcare and precision medicine. Validated survey instruments and measures are required to understand the needs of diverse populations to appropriately tailor person-centered approaches and end disparities in genomic healthcare and precision medicine. 
Methods: We aimed to examine the psychometric properties of a culturally adapted Spanish version of the Attitudes Toward Genomics and Precision Medicine (AGPM). First, we culturally adapted the AGPM. We then conducted a web-based evaluation of the Spanish AGPM in a cohort of 486 individuals identifying as Hispanic to establish the Spanish version’s reliability, factor structure, and measurement invariance relative to the English version. We also compared AGPM responses between Spanish- and English-speaking Hispanic individuals. 
Results: The Spanish version of the AGPM demonstrates robust internal consistency with Cronbach alpha ranging from 0.84-0.98 across domains. All AGPM items significantly loaded on their respective factor (p &lt; 0.001). Configural, metric, strict, and residual invariance models all met absolute and relative fit criteria. Significant differences were observed between Spanish and English-speaking participants in some AGPM subscales.
Conclusions: The Spanish version of the AGPM demonstrates sound psychometric properties and may be useful for informing culturally empowered approaches to genomic healthcare and precision medicine for people identifying as Hispanic.