cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/f6p4kg4fkz
title: Attention Capture and Visual Search Behavioral Data and Stimuli

description: These are the complete datasets for Experiment 1-3 of the manuscript currently titled "Diagnostic parts are not exclusive in the search template for real-world object categories" by Marcel Wurth and Reshanne R. Reeder. This study contains a direct replication of Experiment 4 from Reeder & Peelen (2013), and two follow-up experiments. In each experiment, subjects were cued to search for cars and people in natural scenes (75% of trials) either presented to the left and right of a central fixation (Exp.1) or above and below fixation (Exp.2&3). On a subset of trials (25% of trials), subjects were instructed only to respond to the location of a black dot that appeared on the left or right of fixation. Capture stimuli (the silhouettes) appeared prior to the dot, but subjects were told to ignore these to the best of their ability. One car and one person silhouette appeared on each capture trial and appeared an equal number of times on the left and right of fixation. The location of the target-matching silhouette was tied to the same side of fixation as the dot-probe on half of trials (consistent trials). The target-matching silhouette appeared on the opposite side of fixation from the dot-probe on the other half of trials (inconsistent trials). In Exp.1&2, capture stimuli were either both whole silhouettes or both single silhouette parts, with these trials randomly mixed within a block. In Exp.3, capture stimuli were either both whole silhouettes or both collections of silhouette parts. Our main goal was to find out if subjects performed better on consistent dot-probe trials than on inconsistent dot-probe trials. A consistent trial is defined as a trial on which the cue-matching silhouette appears on the same side of fixation as the dot-probe. An inconsistent trial is a trial on which the cue-matching silhouette appears on the other side of fixation from the dot-probe. We calculated RT from the onset of the dot-probe. Only correct trials were input into the RT analysis. Attention capture was defined as faster RT on consistent trials compared to inconsistent trials. Reeder, R. R., & Peelen, M. V. (2013). The contents of the search template for category-level search in natural scenes. Journal of vision, 13(3). doi:10.1167/13.3.13
DOI: 10.17632/sxdfjxxsgd
title: Fault-slip data for: "Cenozoic tectonic deformation along the Pontarlier strike-slip fault zone (Swiss and French Jura fold-and-thrust belt): insights from paleostress and geomorphic analyses"

description: Fault-slip data measured from 57 different localities in the region around the Pontarlier strike-slip fault zone within the Jura fold-and-thrust belt
DOI: 10.17632/w8kst7mpr8
title: Lipidomic raw data

description: Our aim was to compare the lipidome of HK2 cells incubated with IL-6 or oncostatin M (OSM). Our first aim was to determine if AA-phospholipids are enriched in OSM or IL-6 treated cells.
There are 3 biological replicate per condition, and 6 conditions: non)-treated 48 h and 72 h; IL-6 48h and 72 h; and OSM 48h and 72h.
100,000 HK-2 cells were spiked with 4.56 μL of internal standard lipid mixture and subjected to lipid extraction at 4 °C . 
The sample was dissolved in 200 μL of 155 mM ammonium bicarbonate and then extracted with 1 mL of chloroform-methanol (10:1) for 2 hours. The lower organic phase was collected, and the aqueous phase was re-extracted with 1 mL of chloroform-methanol (2:1) for 1 hour. The lower organic phase was collected and evaporated in a SpeedVac vacuum concentrator. Lipid extracts were dissolved in 100 μL of infusion mixture consisting of 7.5 mM ammonium acetate dissolved in propanol:chloroform:methanol [4:1:2 (vol/vol)]. 
Samples were analyzed by direct infusion in a QExactive mass spectrometer (Thermo Fisher Scientific) equipped witha TriVersa NanoMate ion source (Advion Biosciences). 5 µL of sample were infused with gas pressure and voltage set to 1.25 psi and 0.95 kV, respectively. 
All data was acquired in centroid mode. All lipidomics data were analyzed with the lipid identification software, LipidXplorer 29. Tolerance for MS and identification was set to 2 ppm. Data post-processing and normalization to internal standards were done manually in Excel.
DOI: 10.17632/xwbzyw5j8y
title: Bank Lending and Firm Internal Capital Markets following a Deglobalization Shock

description: The files are created to understand the data and implementation of analyses in the paper "Bank Lending and Firm Internal Capital Markets following a Deglobalization Shock".
DOI: 10.17632/k9yr9ztg5v
title: Possible applications of GIS tools in order to prepare for drinking water distribution network emergencies

description: Simple input data files for EPANET and EPANET MSX used to simulate chlorine decay in a water distribution network, when a backflow from a consumer is present which contains contaminant matter with chlorine demand. MSX_be.inp (1.03 MB) - EPNAET .inp network definition file used for hydraulic calculations. msx_definition.msx (1.49 kB) - EPNAET MSX water quality boundary conditions definition file.
DOI: 10.17632/ndrvtfgftc
title: Data for: BLUE Protocol Ultrasonography in the ED Patients Presenting With Acute Dyspnea

description: This file includes the baseline characteristics and ultrasonographic findings of all the consecutive dyspneic patient admitted to our emergency department (Gazi University School of Medicine)
DOI: 10.17632/4jvmdyzkb6
title: Data for: Development and evaluation of a surface-densified wood composite with an asymmetric structure

description: The dataset belongs to the physical and mechanical properties of the surface-densified wood.
DOI: 10.17632/3243t89y3b
title: LINF_170012200

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/66kjghpjgy
title: Banana Ripeness Images Datasets

description: Real Dataset Banana Images
The real dataset developed consists of 3,495 images of Cavendish bananas.

Synthetic Dataset Banana Images
The synthetic dataset developed consists of 161,280 images of Cavendish bananas.
DOI: 10.17632/dhwky9h2bh
title: A computer program written in Mathematica for calculating H2 quasicrystals and their diffraction patterns

description: Abstract A computer program for generating and drawing finite H_2quasicrystal fragments and their diffraction patterns is presented. The program also draws the quasicrystal points after their having been mapped onto the "window" space. The window and/or fragment do not necessarily have to be simply connected. The concept of a "threshold intensity for detection" has been incorporated into the program. Title of program: QCDiffractor Catalogue Id: ADNU_v1_0 Nature of problem Generation of quasicrystal images and their X-ray diffraction patterns. Versions of this program held in the CPC repository in Mendeley Data ADNU_v1_0; QCDiffractor; 10.1016/S0010-4655(00)00248-4 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.14368697.v1
title: HPDmobile H6 Dark Image Lists

description: This zip contains lists of images that were captured, but not included in the data set, because they were very dark (defined as having an average pixel value of less than 10). Lists are separated by hub and by day and stored in csv format.
DOI: 10.17632/52dw6mfkg5
title: IMPACT OF SOCIAL MEDIA IN PROMOTING FOOD PRODUCTS

description: Impacts of social media on promoting food products were assessed through survey questions and interviews. Facebook was the most utilized social media platform and good feedback or reviews from clients were used for promotion. Advantages in utilizing social medial includes; broad access, accessible, cost-efficient and trendy. While the disadvantages are the business can easily be imitated, can be easily affected by negative feedbacks and prone to bogus buyers. These findings suggest that social media has a strong impact in promoting food products.
DOI: 10.17632/6rgd9j6scd
title: COVID-19 train & test dataset

description: COVID-19-related questions by the users of Naver Knowledge-iN : train & test dataset
DOI: 10.6084/m9.figshare.27134556.v1
title: Data sets

description: All test problems used in the paper
DOI: 10.17632/g83593d5jc
title: Relationships between slope gradients and types of deposition on the four guyots

description: custs01.csv for CS;Rock01.csv for exposed rock; sand01 for loose sediment; TS.csv for tansition zone sediments. A detailed description will published as a paper. This show that different deposition on seamount slopes corresponding to different slope gradient.
DOI: 10.17632/jbzvhz5tvt
title: Continuum wavefunction solver for GRASP

description: Abstract Relativistic V^(N-1)continuum orbitals are solved numerically within the framework of the GRASP code [K. Dyall et al., Comput. Phys. Commun. 55 (1989) 425]. Normalization is accomplished with a relativistic WKB method or curve fitting, depending on whether the core is an ion or is neutral. In the normalization, the phase shift (relative to hydrogen) is also calculated. The spacing of the radial grid at large distances is automatically determined to provide at least 10 grid points per half ... Title of program: CONTWVG Catalogue Id: AANC_v2_0 [ACNK] Nature of problem The relativistic Dirac-Fock equations are set up and solved numerically for continuum wavefunctions within the framework of the GRASP program, K.G. Dyall, et al, CPC 55(1989)425-456. Versions of this program held in the CPC repository in Mendeley Data AANC_v1_0; MCDF; 10.1016/0010-4655(80)90041-7 AANC_v2_0; CONTWVG; 10.1016/0010-4655(93)90136-Z AANC_v3_0; CONTWVSA version 1.0; 10.1016/S0010-4655(01)00208-9 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.5522/04/28664990.v1
title: Endoscopic Pituitary Surgery Pilot Action Dataset

description: The first public dataset containing action annotations of the endoscopic TransSphenoidal Approach (eTSA), consisting of 4 action annotations. The action annotations are given in the form: actions_{video_number}_{direction}.csv. The corresponding video can be found in the PitVis-2023 public dataset (https://doi.org/10.5522/04/26531686.v2), where the video is given in the form: video_{video_number}.mp4. The data is released under the governance of the UCL Institutional Review Board (IRB) (17819/011). The companion paper with comparative models is titled: "Action Classification for Endoscopic Pituitary Adenoma Resection: A Consensus-Based Study" (Starup-Hansen, Joachim et al.). Please cite this paper if you have used this dataset: [pre-print].
DOI: 10.6084/m9.figshare.5715025.v1
title: Single-cell RNA-seq data from microfluidic emulsion

description: Gene-count files and metadata files for single cells from different organs of mice processed on the 10X Genomics Platform. The counts are given using the .mtx file output by the CellRanger program, with one folder per run.<br>Includes data for 422,803 droplets, 55,656 of which passed a QC cutoff of 500 genes and 1000 UMI.<br>Cell annotations using the Cell Ontology [1] controlled vocabulary are in a separate csv.<br>[1] http://purl.obolibrary.org/obo/cl.owl<br>
DOI: 10.17632/gz4wd6gdr5
title: Data for: Nonlinear based Chaotic Harris Hawks Optimizer: Algorithm and Internet of Vehicles Application

description: To alleviate the drawbacks of this algorithm, a modified version called Nonlinear based Chaotic Harris Hawks Optimization (NCHHO) is proposed in this paper. NCHHO uses chaotic and nonlinear control parameters to improve HHO’s optimization performance. The main goal of using the chaotic maps in the proposed method is to improve the exploratory behavior of HHO. In addition, this paper introduces a nonlinear control parameter to adjust HHO’s exploratory and exploitative behaviours. The performance of NCHHO’s is developed using a variety of chaotic maps to identify the most effective one and tested on several well-known benchmark functions. The results demonstrate the NCHHO algorithm provides very competitive, often superior, results compared to the other algorithms. The paper also considers solving an Internet of Vehicles optimization problem that showcases the applicability of NCHHO.
DOI: 10.17632/4j9jyw2gsn
title: Self-medication in the community

description: Este Dataset contiene información recolectada para identificar los factores que ocasionan la automedicación en la comunidad y fue realizada en el curso de Proyecto Integrador II del programa de Regencia de Farmacia.
DOI: 10.17632/zv2cdhhxrn
title: RAGN-R: A multi-subject ensemble machine-learning method for estimating mechanical properties of advanced structural materials

description: The utilization of advanced structural materials, such as preplaced aggregate concrete (PAC), fiber-reinforced concrete (FRC), and FRC beams has revolutionized the field of civil engineering. Therefore, the current research titled "RAGN-R: A multi-subject ensemble machine-learning method for estimating mechanical properties of advanced structural materials" in Computers and Structures, introduces a novel RAGN-R approach for proposing a comprehensive predictive model. The dataset used for this research is published to be used by researchers, for more, please check the paper.
DOI: 10.17632/9s2kj5s33r
title: Data for: Compositional characterization of zisha clay from the Yixing area (Jiangsu, China) by neutron activation analysis

description: elements composition of different kind of Zisha clay materials object from various mineral occurrence using Neutron Activation Analysis (NAA).
DOI: 10.17632/x97s9ypxjz
title: NMR spectra of substituted alpha-aminonitrilecyclohexane mixtures.

description: The NMR spectra of product mixtures resulting from the reaction of substituted cyclohexanones with an amine hydrochloride and potassium cyanide in water. The resulting products exhibit a preference for one of the two possible geometric isomers due to diastereofacial selectivity during the attack by the cyanide ion on the intermediate iminium. A pdf file is included as a key to the identity of the folders containing the NMR data on the individual compounds.
DOI: 10.6084/m9.figshare.3980346.v1
title: Supplementary Material for: Uremic Toxin-Producing Gut Microbiota in Rats with Chronic Kidney Disease

description: <b><i>Background:</i></b> In patients with chronic kidney disease (CKD), many metabolites of gut microbiota retain in the body as uremic toxins (UTs). However, the kinds of bacteria producing UTs are rarely discussed. <b><i>Methods:</i></b> We analyzed UT production and the composition of gut microbiota in CKD rats and cecectomized rats. AST-120, a spherical carbon adsorbent, was administrated to evaluate how the precursors of UT affect gut microbiota. Serum and urine levels of UTs were quantified by liquid chromatography/electrospray ionization-tandem mass spectrometry. Gut microbiota were analyzed using 454-pyrosequencing of the 16S rRNA gene. Operational taxonomic unit (OTU) clustering and UniFrac analysis were performed to compare gut microbiota among the groups. <b><i>Results:</i></b> Serum and urine levels of indoxyl sulfate and phenyl sulfate were higher in CKD versus control rats (p &lt; 0.05). AST-120 administration decreased UT production (p &lt; 0.01) and changed overall gut microbiota composition in CKD rats. UT urinary excretion and gut microbiota composition changed in cecectomized rats, with the relative abundance of <i>Clostridia</i>- and <i>Bacteroidia</i>-affiliated species being significantly reduced (p &lt; 0.01). We identified candidate indole- and phenol-producing intestinal microbiota, 3 <i>Clostridia</i>, and 2 <i>Bacteroidia</i>. These OTUs have a tryptophanase/tyrosine phenol-lyase gene in the closest sequenced genome out of the OTUs declined following cecectomy. <b><i>Conclusion:</i></b> Our data suggest that UT production is correlated with a subset of indigenous gut microbiota. However, UT may be induced by other non-symbiotic microbiota that are influenced by factors other than microbiota populations. The relationship between specific microbiota and UTs in patients requires further clarification.
DOI: 10.17632/5c8h6sh495
title: Downy Mildew and Powdery Mildew Symptoms

description: This dataset includes annotated images showing symptoms of powdery mildew and downy mildew, collected over a two-year period and organized into two subsets: "Dataset 2021" and "Dataset 2022".

Dataset 2021 contains 753 images organized into 8 folders: 489 of powdery mildew and 264 of downy mildew. Each image has varying numbers of annotations classified into two categories: "powdery mildew" and "downy mildew". The annotation totals are:
• Powdery mildew annotations: 1,696
• Downy mildew annotations: 657

Dataset 2022 consists of 1,404 images organized into 13 folders.The annotations are also classified into "powdery mildew" and "downy mildew", with totals as follows:
• Powdery mildew annotations: 3,915
• Downy mildew annotations: 20,959

All images were collected in Sardinia, Italy. Both datasets are provided as directories containing zipped image files and corresponding zipped annotation files.

The annotation files are in text format, with each row describing one annotated leaf. The format is:
class_id center_x center_y width height
• class_id: An integer representing the class.
• center_x, center_y, width, height: Floating-point values normalized to the image dimensions, indicating the bounding box center and size.

In the "file_names" directory, the file lists for Dataset 2021 and Dataset 2022 are organized differently.
Regarding Dataset 2021 al the file names are listed in "dataset_2021.txt".
Regarding Dataset 2022 two sets of text files correspond to two different splitting methods:
• Structured Split: Files are listed in "train_dataset_2022.txt", "val_dataset_2022.txt", and "test_dataset_2022.txt". 
• Random Split: Files are listed in "train_rand_2022.txt", "val_rand_2022.txt", and "test_rand_2022.txt". 
The "Structured Split" division was based on file creation dates to minimize overlap between sets, with the training set being more than twice the size of the validation and test sets.
In the "Random Split" case similar images of same leaves, captured from different angles or distances, are distributed across sets. While this random split may artificially inflate performance on familiar data due to overfitting, it results in reduced performance on unseen data, such as images listed in "dataset_2021.txt".
DOI: 10.17632/khzkdv6hxf
title: ParaSports Data Disability Sport and Adapted Football Immigration Dataset

description: Data culled from ParaSports Data that lists individual sportspeople with disabilities who are known to have migrated from one country to another.
DOI: 10.17632/pkpxhfhrj6
title: Heterogeneous Trade Elasticity and Managerial Skills

description: This repository contains all the codes needed to replicate results in the manuscript "Heterogeneous Trade Elasticity and Managerial Skills" by Bas M., Fontagne L., Iodice, I and G. Orefice.

Abstract. 
This paper investigates the role of firms' managerial skills in the heterogeneous reaction of exporters to common exogenous changes in their international competitiveness (here captured by changes in the real exchange rate). Relying on a simple theoretical framework, we show that firms with better managerial skills have higher profits, market power and are able to adapt their markup more when faced with a competitiveness shock. We test this prediction relying on detailed firm-product-destination level export data from France for the period 1995-2007 matched with specific information on the firms' share of managers. Our findings show that managerial intensive firms have larger exporter price elasticity to real exchange rate variations. In the wake of a depreciation, exporters whose management intensity is one standard deviation higher than the average, increase their prices by 51% to 73% more than the average exporter. This finding is robust to alternative explanations suggested by the literature.
DOI: 10.17632/zv66h54b8j
title: Dataset of images for model development using transfer-learning and texture features recognition of the conditions of construction materials with small datasets

description: This is the dataset of the images collected by the S.M.A.R.T Construction Research Group at NYUAD from a construction site on campus. The dataset contains the images used for the manuscript titled 'Transfer-learning and texture features for detailed recognition of the conditions of construction materials with small datasets' by Eyob Mengiste, Karunakar Reddy Mannem, Samuel A. Prieto and Borja García de Soto. For any inquiries, contact the corresponding author (eyob.mengiste@nyu.edu).

This database contains a total of 208 images for 7 construction material conditions broken down as follows: 
CMU wall - 24 images, 
Chiseled concrete - 49 images,
Concrete - 18 images, 
Gypsum - 26 images
Mesh - 25 images 
First coat plaster -  37 images
Second coat plaster - 29 images
DOI: 10.17632/8wn8k39d8h
title: Effects of constant low and high temp including fluctuating temp stress on the biology and physiological enzymes of A craccivora Koch and A gossypii Glover (Hemiptera: Aphididae) on Lablab purpureus subsp. bengalensis (Jacq.) Verdc.

description: All data sets regarding manuscript "Effects of constant low and high temperatures including fluctuating temperatures stress on the biology and physiological enzymes of Aphis craccivora Koch and Aphis gossypii Glover (Hemiptera: Aphididae) on Lablab purpureus subsp. bengalensis (Jacq.) Verdc."
DOI: 10.6084/m9.figshare.14866908.v1
title: Definitive Dataset.sav

description: This dataset contains data representing self-report of tinnitus of Dutch children aged 6 to 18, its characteristics, severity using a visual analogue scale (0-10) and finally the presence of hearing loss.
DOI: 10.17035/cardiff.26997361.v1
title: Two-dimensional surface roughness measurements: data

description: Surface roughness measurements from experimental programme to investigate running-in and micropitting in case-hardened steel surfaces representative of those found in gear teeth.
DOI: 10.17632/gtf3bt4v47
title: MAM-STM: A software for autonomous control of single moieties towards specific surface positions

description: In this publication we introduce MAM-STM, a software to autonomously manipulate arbitrary moieties towards specific positions on a metal surface utilizing the tip of a scanning tunneling microscope (STM). Finding the optimal manipulation parameters for a specific moiety is challenging and time consuming, even for human experts. MAM-STM combines autonomous data acquisition with a sophisticated Q-learning implementation to determine the optimal bias voltage, the z-approach distance, and the tip position relative to the moiety. This then allows to arrange single molecules and atoms at will. In this work, we provide a tutorial based on a simulated response to offer a comprehensive explanation on how to use and customize MAM-STM. Additionally, we assess the performance of the machine learning algorithm by benchmarking it within a simulated stochastic environment.
DOI: 10.6084/m9.figshare.11994498.v2
title: Vicarious pain dataset

description: This dataset includes fMRI data from 238 healthy human participants collected during a block design fMRI task during which physical and affective vicarious pain pictures as well as corresponding non-painful control pictures were presented. <br>The physical and vicarious pain GLM dataset was generated by SPM first level analysis, and the physical and vicarious pain clean dataset was generated from the preprocessed BOLD signal by regressing out motion parameters, high-pass filtering and subsequent averaging across condition-specific blocks (shifted 6s to account for HRF delay).The data is provided in fmri_data object format from the CANlab Core Tools repository for neuroimaging data analysis. See https://canlab.github.io/<br>