cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5124250.v1
title: Supplementary Material for: Longitudinal Study of Looming in Infants with High-Density EEG

description: A rapidly approaching object provides information about the object's approach and how imminent a collision is. Prospective control when responding to a looming virtual object approaching on a direct collision course was studied longitudinally in 10 infants aged 5/6 and 12/13 months. Different characteristics of the looming-related visual evoked potential (VEP) responses from infants' brain electrical recordings (EEG) were explored and compared between the infants at these different ages. The aim of this study was to find evidence for infant brain electrical responses coherent with a looming stimulus approaching the infant under three different accelerations. It was also investigated whether the use of different timing strategies to estimate the loom's time-to-collision would produce differences in the EEG recordings. The results showed that the timing and the duration of the VEP responses differed with age. At the age of 5/6 months, infants showed VEP peaks earlier in the looming sequence and VEP responses with longer duration than when they were 12/13 months old. Results from the timing-strategy analysis showed that with age, 4 infants shifted from a less efficient timing strategy involving the loom's velocity to the more efficient strategy involving the loom's time-to-collision. Further, it was found that peak VEP activation in the investigated areas propagated across the cortex, showing the highest observed activation in the occipital area at the age of 5/6 months, whereas the parietal area showed the highest activation when the infants were 12/13 months. The decrease in processing time together with a peak VEP response closer to the loom's time-to-collision indicate a developmental trend in infants' prediction of an object's time-to-collision. This developmental trend is further substantiated by the shift from a less efficient to a more efficient timing strategy and by evidence of propagated peak VEP activation towards higher information processing areas in the visual pathway with age. As infants grow older and become more mobile, one of the underlying causes of the developmental trend found in our study could be due to an increase in locomotor experience. More follow-up research is needed to investigate the relation between behavioural development and changes in brain activity associated with infants' perception of looming motion.
DOI: 10.6084/m9.figshare.19477211.v1
title: Isotopic records of ancient wildfires in C4 grasses preserved in the sediment of the Ross Sea, Antarctica

description: We report the carbon isotopic (d<sup>13</sup>C and D<sup>14</sup>C) values determined for total organic carbon (TOC) and pyrogenic carbon (PyC) preserved in two sediment cores collected from the slope of the Ross Sea, Antarctica, in 2017. PyC contributed 10-28% of the TOC in the cores. The d<sup>13</sup>C values of PyC ranged from -10.9‰ to -17.2‰, with distinct differences from the d<sup>13</sup>C values of TOC (-24.1‰ to -26.1‰) in the sediments. The radiocarbon ages of PyC were 9540 and 8570 years old on average in the two cores but were thousands of years younger than the ages of TOC at the same core depth. These isotopic records provide strong evidence indicating that the PyC preserved in the sediments of the Ross Sea was produced from ancient wildfires predominantly in C<sub>4</sub> vegetation and that PyC was transported to Antarctica in the atmosphere. These results suggest that ancient wildfires dominated by C<sub>4 </sub>grasslands likely occurred frequently on a large scale and at high intensity in the Southern Hemisphere during the Holocene period of 5000-12,000 years ago, which was related to climate change.
DOI: 10.6084/m9.figshare.20362920.v1
title: greenteg-core-axillary-5min-v2

description: Non-invasive core body temperature measurements using GreenTEG CORE with a standard license and a sampling resolution of one sample ever 5 minutes, with the sensor positioned apically/axially (about under the arm). <br> See Wearadian v2 for more information on the experiment's design: <br> https://circadiaware.github.io/wearadian/docs/Wearadian.html#wearadian-version-2 <br> Notes: The sensor was exchanged for another of the same model and production year between the first and second csv files (on 2022-05-31 between 17:49 and 19:00). From 2022-07-12 to xxx the sensor was not worn at all due to a thoracic injury (intercostal muscle tear) caused by COVID-19 explosive cough against the chestbelt-worn sensor, so the chest belt could not be worn during this timeperiod (ie, both core body temperature nor ECG were not acquired during this period).
DOI: 10.6084/m9.figshare.24718599.v1
title: Additional files for Ethanolamine metabolism through two genetically distinct loci enables Klebsiella pneumoniae to bypass nutritional competition in the gut

description: This is additional information generated for the publication entitled: <i>Ethanolamine metabolism through two genetically distinct loci enables Klebsiella pneumoniae to bypass nutritional competition in the gut</i>.This includes:Supplemental methods file for publication brevitySupporting statistics for the within protein variation analysisThe eut loci used in fasta formatGenome metadata of all <i>K. pneumoniae</i> Species Complex genomes used in this study All R code used to generate figures and perform statistics in this study
DOI: 10.6084/m9.figshare.25780287.v1
title: Dataset - Location determinants of industrial solar photovoltaics and onshore wind turbines in the EU

description: <br>This datasets contains the code used to extract and process the OSM data, maps for both wind turbine and solar PV locations and the probability maps.The Overpass Turbo API wrapper is accessed through a Python script, which applies key/value pairs to extract wind turbines and solar PV. The resulting GeoJSON file contains a series of nodes and ways, delimiting the parameters of the items mapped and classified under the pairs of tags and keys. The solar PV and wind turbine map display the most recent and coherent spatial dataset of onshore wind turbines (118,238) and industrial solar photovoltaics (670 km<sup>2</sup>) in the European Union, excluding urban and water areas. The results present an 8.5-fold and 2.5-fold increase in onshore wind turbines and solar photovoltaics, respectively, compared to similar results from 2020. Two models were developed to understand the significance, associated relationship, and strength of a wide range of variables as location determinants. A 50-fold cross-validation concluded the robustness of both models, allowing for the development of probability maps that illustrate the future expansion potential in the European Union which are provided as tiff files in this dataset.
DOI: 10.17632/kndxm8wndm
title: Divergencia jurisprudencial sobre estabilidad laboral reforzada. 

description: Se realiza informe y cuadro comparativo del estudio jurisprudencia que se realizó sobre la estabilidad laboral reforzada por Discapacidad y/o Debilidad Manifiesta de acuerdo con las interpretaciones de la Corte Suprema De Justicia desde 2011 al 2021, en virtud de lo manifestado por la Corte Constitucional SU049/17. Los datos son parte de la construcción que se continuará trabajando a fin de incluir la actualización del articulo que se pretendió publicar.
DOI: 10.17632/ktrts7r2hk
title: human Vim-DBS data of membrane potential

description: The data protocols are from Milosevic et al. (2021) (L. Milosevic et al., “A theoretical framework for the site-specific and frequency-dependent neuronal effects of deep brain stimulation,” Brain Stimul, vol. 14, no. 4, pp. 807–821, 2021, doi: 10.1016/j.brs.2021.04.022.) The data were recorded from the thalamic ventral intermediate nucleus (Vim) in human patients receiving DBS for treating essential tremor. Microelectrodes were used to both deliver DBS and perform single-unit recordings. DBS was delivered using 100 µA and symmetric 0.3ms biphasic pulses (150µs cathodal followed by 150 µs anodal). In this work, we used the entire dataset of single-unit recordings of the neurons in the thalamic ventral intermediate nucleus (Vim) of essential tremor patients, during various DBS frequencies (5 to 200 Hz) in Vim. The single-unit recordings during {5, 10, 20, 30, 50, 100, and 200 Hz} Vim-DBS are of length {10, 5, 3, 2, 1, 5, and 2 s}, respectively; for each frequency of DBS, we did 5 to 8 recordings in different patients (total number of patients = 19). To obtain spikes from the single-unit recordings, we did offline analysis and spike template matching. For each single-unit recording, all the narrow stimulus artifacts were removed (0.5 ms from the onset of a DBS pulse). Then the recordings were high pass filtered (≥300 Hz) to better isolate the spikes, which were identified by the template matching using a principal component analysis method in Spike2 (Cambridge Electronic Design, UK).
DOI: 10.6084/m9.figshare.24534185.v1
title: Supp. Data File 1 from The African mosquito-borne diseasosome: geographical patterns, range expansion and future disease emergence

description: African mosquito faunal list per country
DOI: 10.6084/m9.figshare.25229498.v1
title: Membrane property raw data

description: Recording of membrane properties from two subtypes of spiny projection neurons, cholinergic interneurons, and fast spiking interneurons in the striatum/nucleus accumbens spanning almost entire anterior-posterior axis. At least 100 cells per cell type were recorded.Basic_prob_raw.csv is raw data of basic membrane properties. Input_Output_raw_Hz.csv is raw data for Input-Output curve and related parameters, and action potential counts (during 0.7 sec) were converted to firing frequency (in Hz).
DOI: 10.17045/sthlmuni.7165300.v1
title: Open data: Auditory Awareness Negativity is an Electrophysiological Correlate of Awareness in an Auditory Threshold Task

description: Open data for "Auditory Awareness Negativity is an Electrophysiological Correlate of Awareness in an Auditory Threshold Task" by Rasmus Eklund and Stefan Wiens<br>AAN_data.zip contains the raw eeg data files (*.bdf) that were recorded with a biosemi system (www.biosemi.com). The files can be opened in matlab with the fieldtrip toolbox. http://www.fieldtriptoolbox.org/. The txt files in each subject's directory are the behavioral logfiles from the main task (see python.zip). Amps_AAN_exp1.csv and Amps_AAN_exp2.csv contain the mean ERP data that are generated by the fieldtrip scripts (see the scripts for an explanation of the variables).<br>bayesfactor.zip contains the bayes factor analyses of the main data. some files were generated with Aladins r scripts (https://doi.org/10.17045/sthlmuni.4981154). the r-files can be run with r (https://www.r-project.org/). <br>fieldtrip.zip contains all the matlab scripts that were used to process the erp data with the toolbox fieldtrip. http://www.fieldtriptoolbox.org/The zip also contains the final, preprocessed individual data files. They can be opened with matlab.<br>preregistration.zip contains the protocols that we preregistered at open science framework (OSF).<br>python.zip contains python script for the main task. It needs python (https://www.python.org/) and psychopy (http://www.psychopy.org/).<br>R.zip contains the r scipts to process the behavioral data and make the tables. The r-files can be run with r (https://www.r-project.org/).
DOI: 10.6084/m9.figshare.25988293.v1
title: Global Dam Watch database version 1.0

description: This is the Global Dam Watch (GDW) database of river barriers and reservoirs, version 1.0. The database development is fully described in Lehner et al. 2024 (see DOI-link in References below).There are 2 zip files (one in Geodatabase format and one in Shapefile format):"GDW_v1_0_gdb.zip" contains both river barriers (points) and reservoirs (polygons) including all attribute information, in Geodatabase format"GDW_v1_0_shp.zip" contains both river barriers (points) and reservoirs (polygons) including all attribute information, in Shapefile format; additionally there is a comma delimited text file containing all barrier attributesEach of the zip-files contains a Technical Documentation (GDW_TechDoc_v1_0.pdf) which provides additional information. The GDW database is maintained by the Global Dam Watch initiative, see https://www.globaldamwatch.org.
DOI: 10.6084/m9.figshare.28124876.v1
title: RIX Universal Model Male Probabilities Used for WNV CC Mouse Project (R Data Object, from UNC Systems Genetics)

description: This is the founder probability file that is used to do QTL analyses for a West Nile virus adaptive immune response study using Collaborative Cross mice.
DOI: 10.6084/m9.figshare.1351944.v1
title: University of Cambridge APCs 2014

description: This dataset contains details of article processing charges (APCs) paid by the University of Cambridge during 2014. The data is being collected as part of Jisc's APC data collection project to address the Total Cost of Ownership of scholarly communication (https://www.jisc-collections.ac.uk/Jisc-Monitor/APC-data-collection/) and has been released with permission of the University of Cambridge. It only contains APCs which were paid centrally; there will be many other APCs paid by the University of Cambridge and its staff which are not included in this dataset. One of the files is the original one provided by the University of Cambridge and contains explanatory notes; the second is a CSV of the same data converted into a standard format.
DOI: 10.6084/m9.figshare.25062251.v1
title: Revisiting the speaker discriminatory power of vowel formant frequencies

description: The data comprises of vowel formant and vowel duration values for two speaking styles: Dialogue and Interview.Acoustic-phonetic parameters:<br>• F1: the first formant frequency in Hertz measured at oral vowels mid-points;<br>• F2: the second formant frequency in Hertz measured at oral vowels mid-points;<br>• F3: the third formant frequency in Hertz measured at oral vowels mid-points;<br>• F4: the fourth formant frequency in Hertz measured at oral vowels mid-points;<br>• Vowel duration: defined as the duration of oral monophthongs including the seven phonemic vowels<br>of Brazilian PortugueseThe participants are 20 subjects, all male, Brazilian Portuguese (BP) speakers from the same dialectal area (state of Alagoas). Each speaker is coded with a letter and a different letter number, e.g., A1, A2, B1, B2, C1, C2.The "Random" column was employed to arrange the data order randomly during tests.
DOI: 10.6084/m9.figshare.28701779.v1
title: <b>Microbial inoculation enhances soil aggregation via root exudate-mediated microbial processes</b>

description: data and code
DOI: 10.6084/m9.figshare.6160451.v1
title: 2014-18 NCAA Women's Lacrosse Scores

description: NCAA D1 Women's Lacrosse Scores 2014-2018.<br>2018 is incomplete and up to 4/17/2018 games.<br>Includes use as example for showing difference in predictions of linear probability model and logit model.
DOI: 10.17632/n9tjg5szgb
title: Food Allergen Recalls in the UK from 2016 - 2021 Supplementary Data (Updated 22 August 2022)

description: This repository contains the following informative files:
• Processed Data for Food Allergen Recalls in the UK (2016 - 2021)
• Legislation Information on food allergens from (2003 - 2021)
• UK Food Allergen Hospital Admissions Data (2014 - 2020)
DOI: 10.6084/m9.figshare.28944092.v1
title: <b>Inhibition of Ephrin Receptor Signaling in the Paraventricular Nucleus Attenuates Psoriasis via Synaptic Plasticity and Immune Homeostasis Modulation</b>

description: 银屑病的病理生理学涉及神经免疫串扰失调，但中枢机制仍不完全清楚。在这里，我们证明了下丘脑室旁核 （PVN） 通过跨突触脑-皮肤回路协调皮肤炎症。使用神经追踪和化学遗传学方法，我们揭示了 PVN 与交感神经元和银屑病皮肤之间的功能连接。咪喹莫特 （IMQ）诱导的 PVN-TRAP陷阱神经元（形成特定的“炎症记忆”）的再激活对银屑病进展至关重要，并且可以被激活以驱动慢性炎症。Single-nucleus RNA 测序 （snRNA-seq） 确定 Ephrin 受体 A7 （Epha7） 是 PVN 炎性记忆痕迹神经元突触可塑性的关键介质。抑制 PVN 肝配蛋白受体和配体结合使树突状脊柱重塑正常化，抑制交感神经多动，并恢复银屑病样小鼠 Th17/Treg 细胞的平衡。从机制上讲，阻断肝配蛋白受体减弱了交感神经去甲肾上腺素溢出，从而挽救了 Treg 耗竭并减轻了 Th17 驱动的炎症。本研究确定了一个 PVN-交感神经-皮肤轴，其中抑制 PVN Epha7 可恢复皮肤免疫稳态。此外，本研究阐明了编码皮肤炎症的中枢神经机制，并促进了银屑病治疗从单一靶点方法过渡到包含“脑-皮肤”相互作用的神经免疫协同策略。
DOI: 10.17632/2yy4j7rgvg
title: Mental issues, internet addiction and quality of life predict burnout among Hungarian teachers: a machine learning analysis

description: Background: Burnout is usually defined as a state of emotional, physical, and mental exhaustion that affects people in various professions (e.g. physicians, nurses, teachers). The consequences of burnout involve decreased motivation, productivity, and overall diminished well-being. The machine learning-based prediction of burnout has therefore become the focus of recent research. In this study, the aim was to detect burnout using machine learning and to identify its most important predictors in a sample of Hungarian high-school teachers. 
Methods: The final sample consisted of 1,576 high-school teachers (522 male), who completed a survey including various sociodemographic and health-related questions and psychological questionnaires. Specifically, depression, insomnia, internet habits (e.g. when and why one uses the internet) and problematic internet usage were among the most important predictors tested in this study. Supervised classification algorithms were trained to detect burnout assessed by two well-known burnout questionnaires. Feature selection was conducted using recursive feature elimination. Hyperparameters were tuned via grid search with 5-fold cross-validation. Due to class imbalance, class weights (i.e. cost-sensitive learning), downsampling and a hybrid method (SMOTE-ENN) were applied in separate analyses. The final model evaluation was carried out on a previously unseen holdout test sample. 
Results: Burnout was detected in 19.7% of the teachers included in the final dataset. The best predictive performance on the holdout test sample was achieved by random forest with class weigths (AUC = .811; balanced accuracy = .745, sensitivity = .765; specificity = .726). The best predictors of burnout were Beck’s Depression Inventory scores, Athen’s Insomnia Scale scores, subscales of the Problematic Internet Use Questionnaire and self-reported current health status. 
Conclusions: The performances of the algorithms were comparable with previous studies; however, it is important to note that we tested our models on previously unseen holdout samples suggesting higher levels of generalizability. Another remarkable finding is that besides depression and insomnia, other variables such as problematic internet use and time spent online also turned out to be important predictors of burnout.
DOI: 10.6084/m9.figshare.26247548.v1
title: <b>Impact of Green Supply Chain Management on Sustainable performance: A dual mediated-moderated analysis of Green Technology Innovation and Big Data Analytics Capability powered by Artificial Intelligence</b>

description: <b>Background</b>This paper aims to empirically test a comprehensive interrelationship among green supply chain management (GSCM), green technology innovation (GTI), waste management (WM), big data analytics capability powered by artificial intelligence (BDAC-AI), and their collective impact on sustainable performance (SP) in organizational contexts.<br><b>Method</b>This study has been conducted in food processing sector of Pakistan. The respondents include 495 managers working in the food processing industry. A structural equation modeling (SEM) approach is used to examine direct and indirect relationships between the variables. Originality occurs when the integration of TAM and DCT is looked at to understand sustainable practices in the context of the provided model.<br><b>Results</b>The research of this paper highlights that GSCM, GTI, WM, and BDAC-AI have a positive, strong, and direct impact on SP. Furthermore, GTI and WM only partially mediate the link between GSCM and SP, whereby the two moderate the link. Also, BDAC-AI shows the moderation effect on the relationship between GTI and SP.<br><b>Conclusion</b>This study has managerial implications, including strategies that involve using theoretical frameworks in technological acceptance and dynamic capabilities to support sustainable initiatives. However, it is worth noting that the findings provide a practical contingency for managers and businesses interested in implementing green studies effectively, improving technologies, and strengthening capabilities for sustainable performance. This research adds value in that the paper first integrates TAM and DCT to explain sustainable operations and their impact on organizations. Further, it extends the existing literature by establishing the relationship between GSCM and SC. It offers a model through which GSCM can be operationalized in the context of the FS sector.<br>
DOI: 10.17632/x8mc6y45x2
title: Students' academic performance in video-conference-assisted online learning during the COVID-19 pandemic

description: This research dataset was collected from respondents through an electronic Google form. Participants in this study were students who participated in VCAOL during the COVID-19 pandemic from several institutions in Jakarta. The target variable for classification was the academic performance of the student. The labels were encoded as follows: 'decreased' as 0, 'stable' as 1, and 'good' as 2.
DOI: 10.6084/m9.figshare.24595914.v1
title: Ursusamericanus_SpeciesProbes

description: Details (coordinates) for methylation array probes used in the development of a species-specific epigenetic clock for <i>Ursus americanus.</i>
DOI: 10.6084/m9.figshare.12026994.v1
title: Alignments of Each Gene Used in Multi-gene Phylogenies

description: Alignments for each individual gene utilized for both multi-gene phylogenies. These genes were pulled from the core eukaryotic gene databases of CEGMA and BUSCO, as well as from the Janouškovec et al., 2017 study on Dinoflagellate phylogenetic relationships. <br>
DOI: 10.6084/m9.figshare.14264215.v1
title: One year on: an updated systematic review of SARS-CoV-2, COVID-19 and audio-vestibular symptoms

description: The aim was to systematically review the literature to December 2020, in order to provide a timely summary of evidence on SARS-CoV-2, COVID-19 and audio-vestibular symptoms. The protocol was registered in the International Prospective Register of Systematic Reviews. The methods were developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. Risk of bias was assessed using the National Institutes of Heath quality assessment tools. After rejecting 850 records, 28 case reports/series and 28 cross-sectional studies met the inclusion criteria. There are multiple reports of hearing loss (e.g. sudden sensorineural), tinnitus and rotatory vertigo in adults having a wide range of COVID-19 symptom severity. The pooled estimate of prevalence based primarily on retrospective recall of symptoms, was 7.6% (CI: 2.5–15.1), 14.8% (CI: 6.3–26.1) and 7.2% (CI: 0.01–26.4), for hearing loss, tinnitus and rotatory vertigo, respectively. However, these could be an over-estimate because it was not always clear that studies report a change in symptom. There are multiple reports of audio-vestibular symptoms associated with COVID-19. However, there is a dearth of high-quality studies comparing COVID-19 cases and controls. Prospective Register of Systematic Reviews (PROSPERO); registration number CRD42020227038).
DOI: 10.6084/m9.figshare.9757784.v1
title: Mink_GBS_data.vcf

description: A GBS assay was constructed based on the sequencing of <i>ApeKI</i>-digested libraries from 285 American mink using Illumina HiSeq Sequencer.After quality control, 58,650 SNPs on 260 animals remained for further analyses.
DOI: 10.17632/8vddhytfmg
title: Raw Data: Revolutionizing Marketing Strategies of Artificial Intelligence Impact on Business Success

description: The rapid development of technology brings innovations that enable the application of Artificial Intelligence (AI) into business. This study aims to explore the impact of use (AI) on marketing strategies.