cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24449611.v1
title: MALDI for An iron fist in a velvet glove: The cooperation of a novel pyoverdine from <i>Pseudomonas donghuensis</i> P482 (PVD<sub>P482</sub>) with 7-hydroxytropolone is pivotal for its antibacterial activity

description: Strains and culture conditionsThe strains used in the study are listed in Table 1. Unless otherwise stated, <i>P. donghuensis </i>P482, HYS<sup>T,</sup> and the P482 mutants were routinely grown in Miller’s Lysogeny Broth (LB, Novagen, Germany) or on LB solidified with 1.5 % agar (LB-agar, Novagen, Germany). <i>Pseudomonas</i> spp. and <i>Dickeya solani </i>IFB102 (referred to as <i>Ds</i>) were cultured at 28 °C, and <i>Escherichia</i> <i>coli</i> ST18 <i>at </i>37 °C. For the P482 mutants: KN1009 and KN3755 defective in pyoverdine synthesis (locus tags: <i>BV82_1009 </i>and <i>BV_3755</i> respectively), KN4706 and KN4709 defective in 7-hydroxytropolone production (locus tags: <i>BV82_4706 </i>and <i>BV82_4709 </i>respectiverly (Figure S1)), KN4243 defective in <i>emrA </i>gene (later referred to as EmrA), KN3318 defective in <i>gacA</i> gene (later referred to as GacA), KN4870 defective in <i>fur </i>gene (later referred to as Fur) the medium was supplemented with 30 μg ml<sup>−1</sup> of kanamycin.For the growth of the auxotrophic strain <i>E. coli</i> ST18, the medium was supplemented with 50 μg ml<sup>−1</sup> of 5-aminolevulinic acid (5-ALA, Sigma-Aldrich, USA). When necessary, the medium was, streptomycin (50 μg ml<sup>−1</sup>).Purification and characterisation of P482 pyoverdine (Pvd<sub>P482</sub>)Pyoverdine was purified from a 200 ml 48-h culture of the P482 strain grown in CAA at 28 ⁰C. The cells were removed by centrifugation, and the supernatant was filter-sterilised on the PES membrane (Nalgene™ Rapid-Flow™ Sterile Disposable Filter Units). The supernatant was lyophilised and resuspended in 20 ml of water. The suspension was filtered through filtration units with MWCO 5000 Da (Concentrators, Spin 5K MWCO, 4 ml, Agilent Technologies).Pyoverdine was purified by using semi-preparative HPLC system (flow rate 5 mL min<sup>-1</sup>, 223 nm) with C8 column (Phenomenex Luna 100 Å 10 µm 250x10 mm), and gradient 0-10 % B in 10 min; 10-30 % B in 60 min, where A: 0.1 % TFA/Mili-Q water, and B: 0.1 % TFA/acetonitrile. After each purification step, all fractions were checked by MALDI-TOF mass spectrometer using DHB as a sample matrix
DOI: 10.6084/m9.figshare.25112120.v1
title: Indicators environmental standards_2021.xlsx

description: The file consists of data for the category compliance with environmental standards, including selected indicators for biodiversity from the Environmental Performance Index (EPI) as well as an index representing the local biodiversity, covering 217 countries.
DOI: 10.17632/rdg9ypd8jw
title: Building the Albanides by deep underplating

description: This repository contains the thermochronologic data (Apatite (U-Th-Sm)/He and Apatite Fission Track) supporting the research titled "Building the Albanides by deep underplating"
DOI: 10.6084/m9.figshare.13385834.v1
title: Psychological and Psychophysiological Effects of Music Intensity and Lyrics on Simulated Urban Driving

description: To investigate the effect of musical characteristics (i.e., presence of lyrics and loudness) during simulated urban driving. Previous work has seldom isolated musical characteristics and examined these both singularly and interactively. We investigated the potentially distracting effects of processing lyrics through exposing young drivers to the same piece of music with/without lyrics and at different sound intensities (60 dBA [soft] and 75 dBA7 [loud]) using a counterbalanced, within-subjects design (N = 34; Mage = 22.2 years, SD = 2.0 years). Six simulator conditions were included that comprised low-intensity music with/without lyrics, high-intensity music with/without lyrics plus two controls – ambient incar noise and spoken lyrics. Between-subjects variables of driving style (defensive vs. assertive) and sex (women vs. men) were explored. A key finding was that the no lyrics/soft condition yielded lower affective arousal scores when compared to the other musicconditions. There was no main effect of condition for HRV data (SDNN and RMSSD). Exploratory analyses showed that, for assertive drivers, NASA-TLX Performance scores were lower in the no lyrics/soft condition compared to the lyrics/loud condition. Moreover,women exhibited higher mean heart rate than men in the presence of lyrics. Although some differences emerged in subjective outcomes, these were not replicated in HRV, which wasused as an objective index of emotionality. Drivers should consider the use of soft, non19lyrical music to optimise their affective state during urban driving.
DOI: 10.6084/m9.figshare.21998177.v1
title: Supplementary Material for: Blood Liquid Biopsy in an Advanced Medullary Thyroid Carcinoma: A Case Study with Rearranged during Transfection Heterogeneity

description: <b><i>Introduction:</i></b> Liquid biopsy is an innovative and efficient method for studying circulating tumor DNA. In conjunction with innovative techniques such as next-generation sequencing, it can provide real-time information on prognostic and predictive factors. <b><i>Case Presentation:</i></b> We report a case of advanced, unresectable medullary thyroid carcinoma with various rearranged during transfection (<i>RET</i>) and Kirsten rat sarcoma viral (<i>KRAS</i>) mutations in both blood liquid and tissue biopsies. After the initial failure of treatment with a tyrosine kinase inhibitor (TKI), a liquid biopsy analyzed by next-generation sequencing showed the presence of six different <i>RET</i> mutations and <i>KRAS</i>. Tissue biopsy also revealed two <i>RET</i> mutations. Due to these biopsy findings, the treatment was changed to another TKI, and the patient is now clinically stable. <b><i>Discussion/Conclusion:</i></b> Liquid biopsy makes it possible to analyze different genetic alterations that may have implications as predictive factors. It also reveals tumor heterogeneity and its implications for prognostic factors.
DOI: 10.6084/m9.figshare.27477885.v1
title: Semi-supervised animal action segmentation: freely moving mouse

description: In this publicly available dataset, a mouse freely moved around an open arena (Sturman et al. 2020, Neuropsychopharmacology). A camera captured a top-down view of the mouse at 25 Hz. Thirteen points were tracked across the tail, body, ears, and nose of the mouse; the paws were not tracked. This repository contains the raw pose data, as well as a set of 21 features computed from the pose data based on distances, angles, and areas. This provides a position- and orientation-invariant representation. We also include the distance between the centroid of the mouse to the boundary of the arena.We consider all three behavior categories provided in the public dataset: unsupported rearing, supported rearing (when the mouse uses the wall of the arena), and grooming. In the rest of the frames, there is no specific action or behavior displayed, so we do not train any of the models to identify this “other” category. We only consider the three specific behaviors described above in our analyses. We use 10 labeled videos for training, and 10 for testing. The dataset contains 280k frames, 83k of which are labeled.Many thanks to the authors of the "Deep learning-based behavioral analysis reaches human accuracy and is capable of outperforming commercial solutions" (Sturman et al. 2020, Neuropsychopharmacology) paper who collected and analyzed the original video dataset: Oliver Sturman, Lukas von Ziegler, Christa Schläppi, Furkan Akyol, Mattia Privitera, Daria Slominski, Christina Grimm, Laetitia Thieren, Valerio Zerbi, Benjamin Grewe & Johannes Bohacek.
DOI: 10.6084/m9.figshare.28869638.v1
title: ITC

description: Individual tree segmentation
DOI: 10.6084/m9.figshare.4828954.v1
title: UrbanDictionary 1999-May2016 Definitions Corpus

description: This dataset is described here:<br>https://www.reddit.com/r/datasets/comments/63spoc/19gb_of_urban_dictionary_definitions_1999_may_2016/
DOI: 10.6084/m9.figshare.9895490.v2
title: Differentially regulated isoforms in iPSC d14 vs. d7 cardiomyocyte differentiation

description: Limma generated table for differential expression of protein isoform quantified between human induced pluripotent stem cell derived cardiomyocytes (day 14 of differentiation) and early cardiomyocytes (day 7 of differentiation). Entries correspond to custom heart database.
DOI: 10.6084/m9.figshare.24119355.v1
title: <b>Data Set : Impact of Paid Partnership Posts’ Characteristics on User Engagement</b>

description: <b>Impact of Paid Partnership Posts’ Characteristics on User Engagement; With Reference to </b><b>Global Sports Instagram Influencers</b>
DOI: 10.6084/m9.figshare.27128985.v1
title: Dataset

description: Dataset of graphs found in main manuscript
DOI: 10.6084/m9.figshare.28925255.v1
title: Occupational risk factors for asthma exacerbation in adults: a five-year follow-up of the Norwegian Telemark study cohort

description: <b><i>Objectives:</i></b> Asthma exacerbation due to occupational exposure is highly prevalent among adults with asthma. This study assessed the association between occupational risk factors and asthma exacerbation and estimated the impact of asthma exacerbations on job change, sick leave and work ability. <b><i>Methods:</i></b> In a prospective study of respiratory health in Telemark, Norway, 1857 adult participants with physician-diagnosed asthma were invited to participate in a follow-up survey. Among those who responded, 740 were found eligible for this study. Participants were categorized into overall, mild, and severe asthma exacerbation groups based on self-reports of hospitalization, doctor or emergency visits for breathing difficulties, or increased or new use of lung medications. Logistic regression, adjusted for age, sex, and smoking, was used to assess associations between self-reported asthma exacerbation and exposure to VGDF, job exposure matrix (N-JEM) data, job change, sick leave, and work ability. <b><i>Results:</i></b> Asthma exacerbation occurred in 140 (19%) responders; 83 had mild exacerbations and 57 severe exacerbations. Severe exacerbation was associated with daily VGDF exposure (OR 2.57, 95% CI 1.15–5.78) and accidental peak exposure to irritants (OR 4.62, 95% CI 1.13–18.85). Both overall and severe exacerbation were associated with job changes (OR 5.40, 1.26–5.65; OR 3.06, 1.16–8.07), sick leave (OR 1.94, 1.33–2.85; OR 2.78, 1.57–4.92), and reduced work ability (OR 1.61, 1.04–2.49; OR 2.17, 1.18–3.98). <b><i>Conclusion</i></b><i>:</i> Asthma exacerbation was associated with VGDF exposure and some N-JEM occupational exposures. Reducing workplace exposure may decrease job-change, sick leave, and improve work ability in individuals with asthma exacerbation.
DOI: 10.6084/m9.figshare.29120207.v1
title: <b>The importance of morphological tokenization for NLP tasks in language modeling</b>

description: This archive contains supplemental materials for the research paper. It includes source codes, datasets, and results related to the fine-tuning of transformer-based language models for Slovak natural language processing (NLP) tasks, as well as scripts used for pre-training the models.
DOI: 10.6084/m9.figshare.12361550.v1
title: Data for "Functional MRI connectivity accurately distinguishes cases with psychotic disorders from healthy controls, based on cortical features associated with brain network development"

description: This dataset accompanies the paper "Functional MRI connectivity accurately distinguishes cases with psychotic disorders from healthy controls, based on cortical features associated with brain network development", Morgan* and Young* et al, 2020.<br>Pre-processed data:<br>Regional CT, MD and FA values are provided here, as well as DTI networks. CT is given for the Maastricht, Dublin and Cobre datasets, whilst MD, FA and DTI are given for the Maastricht and Dublin datasets. Age, sex and group information is also provided (1=male, 2=female; 1=control, 2=case). <b></b><i></i><sub></sub><sup></sup>Please note that fMRI data and the code to perform machine learning analyses is available on GitHub at: https://github.com/jmyoung36/fMRI_connectivity_accurately_distinguishes_cases.<br><b></b><i></i><sub></sub><sup></sup><br>ML outputs:<br>Predicted probabilities and regional ML feature weights are provided (see the paper for details).<br>Notes:<br>All data was parcellated according to an atlas with 308 regions, created by Dr Rafael Romero-Garcia- see Romero-Garcia et al, NeuroImage 2012 (https://doi.org/10.1016/j.neuroimage.2011.10.086). Please cite that paper, as well as Morgan* and Young* et al 2020, if you use this data for your own research.<br> <i>The study was supported by grants from the European Commission (PSYSCAN - Translating neuroimaging findings from research into clinical practice; ID: 603196) and the NIHR Cambridge Biomedical Research Centre (Mental Health). The Cobre data was downloaded from the COllaborative Informatics and Neuroimaging Suite Data Exchange tool (COINS; http://coins.mrn.org/dx) and data collection was performed at the Mind Research Network, and funded by a Center of Biomedical Research Excellence (COBRE) grant 5P20RR021938/P20GM103472 from the NIH to Dr. Vince Calhoun. SEM was supported by a Henslow Fellowship at Lucy Cavendish College, University of Cambridge, funded by the Cambridge Philosophical Society. KJW was funded by an Alan Turing Institute Research Fellowship under EPSRC Research grant TU/A/000017. MPvdH was supported by a NWO VIDI and ALW open grant and a MQ fellowship. GD was supported by grants from the ERC (grant 677467) and SFI (12/IP/1359). ETB was supported by a NIHR Senior Investigator Award.</i><br>
DOI: 10.6084/m9.figshare.29143385.v1
title: Data Share...Massoud et al..xlsx

description: Mechanistically Driven Transnidal Hemodynamic Manipulations Enhance Simulated Endovascular Transvenous Treatments for Brain AVMs
DOI: 10.17632/kgcthpzfpt
title: Nanostring dataset 

description: The nanoString nCounter(Tsang et al. 2017) Myeloid Innate Immunity Panel (nanoString Technologies, Seattle, WA) was used to quantify the expression of 180 genes associated with innate and adaptive immune responses. RNA was isolated from four 5 μm thick formalin-fixed and paraffin-embedded skin sections of 14 confirmed BP, 12 confirmed NBP, and 10 pruritus patients using the RNeasy mini kit (Qiagen) according to suppliers instructions. RNA (100ng as measured by Qubit (ThermoFisher)) was hybridized with the nanoString reporter and capture probes overnight at 65 degrees Celsius. Each probe set (reporter and capture probe) is designed to bind an unique mRNA target, and has an unique color-coded molecular tag. The RNA-probe complexes were loaded on an nCounter cartridge, and washed and read on a SPRINT platform.
DOI: 10.6084/m9.figshare.16988539.v6
title: Data and R code from: Multiple anthropogenic pressures eliminate the effect of biodiversity on ecosystem functions

description: Biodiversity contributes to maintaining ecosystem functions when faced with anthropogenic pressures. However, ecosystems are now exposed to a rapidly growing number of such pressures, and it remains unknown whether biodiversity can still sustain ecosystem functioning under anthropogenic pressures. Here we investigated the effects of soil biodiversity on soil functions and properties when faced with an increasing number of simultaneous global change factors (GCFs). Higher soil biodiversity had a positive effect on soil functions and properties when zero and only a few (e.g., 1 – 4) GCFs were applied, but this positive effect was eliminated by the co-occurrence of<br>numerous GCFs. This was attributable to the reduction of soil fungal abundance and the relative abundance of a bacterial cluster. These results suggest that biodiversity can contribute to ecosystem functions only when a few GCFs are active, but that this will be jeopardized by the presence of multiple GCFs. Our study indicates that reducing the number of anthropogenic pressures should be a goal in ecosystem management, in addition to biodiversity conservation.
DOI: 10.6084/m9.figshare.22351717.v1
title: ChemNLP: A Natural Language Processing based Library for Materials Chemistry Text Data

description: https://arxiv.org/abs/2209.08203 https://github.com/usnistgov/chemnlp <br>
DOI: 10.6084/m9.figshare.23532591.v1
title: Factors Affecting L3 Korean Language Acquisition for HKL

description: This paper examines the factors that affect Hong Kong learners who acquire the Korean language as an L3. The data set constains the participants' responses of the questionnaire that constructed in order to investigate the relationship between the influential factors and Korean acquisition, which is defined as the Korean proficiency of the learners in this study.
DOI: 10.6084/m9.figshare.29091062.v1
title: stata dataset for the relationship of capital misallocation and audit fees

description: stata dataset for the relationship between capital misallocation,management shareholding proportion and audit fees
DOI: 10.17632/8xyxzg7czv
title: Good and Bad classification of Cooked Maggi

description: *Data Description: Good and Bad Classification of Cooked Maggi* 

This dataset is designed for binary classification, distinguishing between *good* and *bad* samples of cooked Maggi. It consists of *1,000 total samples*, with an equal distribution: 

- *500 Good Samples* – Representing well-cooked Maggi that meets desirable quality standards. 
- *500 Bad Samples* – Representing improperly cooked Maggi, which may include undercooked, overcooked, burnt, or soggy variations. 

### *Dataset Attributes* 

Each sample is characterized by various features, which may include: 

#### *1. Image Data (if applicable)* 
- High-resolution images of cooked Maggi for visual classification. 
- Images may capture different angles, lighting conditions, and variations in texture. 

#### *2. Physical & Sensory Features* 
- *Texture*: Softness, hardness, or stickiness. 
- *Color*: Golden-brown (good) vs. dark (burnt) or pale (undercooked). 
- *Moisture Content*: Dry, well-balanced, or excessively watery. 
- *Clumpiness*: Well-separated strands vs. sticky/mushy consistency. 

#### *3. Ingredient & Cooking Factors* 
- *Water Ratio*: Proper vs. excess/insufficient water used. 
- *Cooking Time*: Optimal vs. undercooked/overcooked. 
- *Seasoning Distribution*: Evenly mixed vs. uneven. 
- *Burnt Residue Presence*: Charred vs. clean. 

#### *4. Label (Target Variable)* 
- *0 = Bad Maggi* 
- *1 = Good Maggi* 

### *Potential Applications* 
- Machine learning model training for *automated quality assessment*. 
- Developing AI-driven *food quality monitoring systems*. 
- Enhancing *food industry automation* with real-time detection. 

This dataset is suitable for *computer vision-based classification* (if images are used) or *sensor-based analysis* for food quality control.
DOI: 10.17632/ytfjzbgby9
title: Mediciones hidrodinámicas y fisicoquímicas de la sección interna del Golfo de Nicoya, Costa Rica

description: Mediciones de variables hidrodinámicas y fisicoquímicas realizadas en Marzo y Julio-Agosto de 2022 en la sección interna del Golfo de Nicoya, Costa Rica, por la Unidad de Ingeniería Marítima, de Ríos y de Estuarios (IMARES-UCR) y el Centro de Investigaciones en Ciencias del Mar y Limnología (CIMAR), ambos de la Universidad de Costa Rica. 

Los datos fueron medidos en dos campañas de campo de aproximadamente 2 semanas cada una. La primera campaña se realizó en Marzo de 2022. La segunda campaña se realizó entre finales de Julio y mediados de Agosto 2022. 

La variables medidas son: 
* Batimetría.
* Velocidad y dirección de corrientes en tres puntos fijos de medición.
* Marea en 6 puntos fijos alrededor del sitio de estudio.
* Porcentaje de carbonatos, materia orgánica y arenas en el sedimento de aproximadamente 30 puntos repartidos en toda la sección interna del Golfo de Nicoya.
* Concentración de amonio, clorofila, materia en suspensión, nitratos, nitritos, fosfatos y silicatos en muestras superficiales del agua en aproximadamente 30 puntos de la zona de estudio. 
* Perfiles verticales de concentración de clorofila, turbidez, conductividad, oxígeno disuelto, pH y temperatura del agua en aproximadamente 30 puntos de la zona de estudio. 

Las mediciones se realizaron a través del Fondo Especial de Estímulo a la Investigación 2022, de la Vicerrectoría de Investigación de la Universidad de Costa Rica. 

Los archivos distribuidos consisten en archivos en formato .csv, con un cabecero que resumen algunas de sus características y los datos tabulados con fechas, coordenadas y mediciones. 


***********ENGLISH***********

Hydrodynamics and physico-chemical measurements made in March and July/August 2022 in the inner region of the Gulf of Nicoya, Costa Rica, by the Coastal, Rivers and Estuaries Engineering Unit (IMARES-UCR) and the Sea Science and Limnology Research Center (CIMAR), both from the University of Costa Rica. 

The data was measured during two field campaigns of approximately 2 weeks each. The first one during March 2022. The second one during late July through mid-August 2022. 

The measured data is:
* Bathymetry.
* Water current velocity and direction in 3 fixed study sites. 
* Tide in 6 sites around the study site.
* Carbonate, organic matter and sand percentage in the sediment of approximately 30 sampling points along the study site. 
* Ammonia, chlorophyll, suspended matter, nitrates, nitrites, phosphates, and silicates concentration in surface water samples at approximately 30 sampling points. 
* Vertical profiles of chlorophyll concentration, turbidity, conductivity, dissolved oxygen, pH, and water temperature in approximately 30 sampling points. 

Measurements were made through the Special Research Stimulus Fund 2022 of the Research Vice-rectory of the University of Costa Rica. 

The distributed files are .csv files with a small header with some general characteristics, and the tabulated data with dates, coordenates and measurements.
DOI: 10.6084/m9.figshare.1326739.v1
title: Browser Choices of Wikimedia Readers and Editors

description: A dataset of parsed reader and editor browser agents from the Wikimedia web properties. Keyes, Oliver (2015): Browser Choices of Wikimedia Readers and Editors. fig<strong>share</strong>. http://dx.doi.org/10.6084/m9.figshare.1326738 Retrieved 23:40, Mar 05, 2015 (GMT)
DOI: 10.6084/m9.figshare.27129105.v2
title: Thwaites Ice Shelf fracture depth-to-freeboard ratios, flow velocities, strain rates (2018-2024)

description: This dataset includes the following derived time series over the Thwaites Ice Shelf from 2018 to 2024: fracture depth-to-freeboard ratios, ice flow velocities, and longitudinal and shear strain ratesWhen using this dataset, please also cite the original paper:Wang, S., Alexander, P. M., Alley, R. B., Huang, Z., Parizek, B. R., Willet, A. G., & Anandakrishnan, S. (2025). Recent variability in fracture characteristics and ice flow of Thwaites Ice Shelf, West Antarctica. Journal of Geophysical Research: Earth Surface, 130, e2024JF008118. https://doi.org/10.1029/2024JF008118The data content and format are described in the readme.txt file within the data folder.
DOI: 10.6084/m9.figshare.28049414.v1
title: Shingles Vaccine Survey

description: National survey (NORC) and survey at health care center (michmed) about Shingles vaccination and how concerns about tolerability impact it.
DOI: 10.6084/m9.figshare.3142423.v1
title: Pig Heart Data

description: The data set includes 41 MR image short-axis slices of a pig heart in-vivo. Six raters labeled the left and right ventricles as well as the two RV insertion points, yielding 246 labeled images. The cine MR data and labeled images are published.