cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28428962.v1
title: Supplementary Material for: The contribution of phenomenology to the assessment of severe non-psychotic forms of psychopathological conditions in transitional age youth

description: Background: In recent times, adolescents with severe forms of psychopathology that do not unambiguously fit into a precise diagnostic category, have come to clinical observation. The diagnoses attributed to these young patients range from borderline personality disorder, to affective disorders, ADHD, and others. These diagnoses are mainly based on behavioural abnormalities (e.g., social withdrawal, aggressiveness, self-injuring behaviour), but fail to capture the experiential core of their suffering. Summary: Research in psychopathology, particularly that with a phenomenological approach, has long been committed to identifying early markers of schizophrenia in clinical pictures that precede the full onset of this pathology. In this paper, two case studies in Transitional Age Youth (TAY) and additional material taken from our own clinical practice are presented where self-disorders and anomalies of common sense - originally developed to phenomenologically characterise the schizophrenic spectrum phenotype, and especially non-delusional forms of schizophrenia - are used to complement standard nosographic assessments. Key-message: We propose that using some of these phenomenological constructs can shed light on certain TAY pictures, in particular the most serious ones, helping us to grasp their psychopathological core and provide further elements for a fine-grained characterization and in-depth understanding. We propose as a work-in-progress a set of tentative criteria to differentiate such phenomena in TAY patients as compared to patients with a diagnosis of schizophrenia.
DOI: 10.6084/m9.figshare.28589168.v1
title: Gastric whole slide images

description: Gastric whole slide images
DOI: 10.6084/m9.figshare.7717037.v1
title: Additional file 2: of Are malaria elimination efforts on right track? An analysis of gains achieved and challenges ahead

description: Table S1. Treatment failure rate (median) for P. falciparum in malaria endemic countries on the basis of studies after the year 2010. (XLS 71 kb)
DOI: 10.6084/m9.figshare.6743798.v2
title: Dataset and R-script for the analysis of temporal yield stability

description: One of the primary challenges of our time is to enhance global food production and security. Most assessments in agricultural systems focus on plant yield. Yet, these analyses neglect temporal yield stability, or the variability and reliability of production across years. Here we perform a meta-analysis to assess temporal yield stability of three major cropping systems: organic agriculture and conservation agriculture (no-tillage) vs. conventional agriculture, comparing 193 studies based on 2896 comparisons. Organic agriculture has, per unit yield, a<br>significantly lower temporal stability (−15%) compared to conventional agriculture. Thus, although organic farming promotes biodiversity and is generally more environmentally<br>friendly, future efforts should focus on reducing its yield variability. Our analysis further indicates that the use of green manure and enhanced fertilisation can reduce the yield stability gap between organic and conventional agriculture. The temporal stability (−3%) of no-tillage does not differ significantly from those of conventional tillage indicating that a transition to no-tillage does not affect yield stability.<br>
DOI: 10.17632/d42s69bccz
title: Atomsk: A tool for manipulating and converting atomic data files

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract We present a libre, Open Source command-line program named Atomsk, that aims at creating and manipulating atomic systems for the purposes of ab initio calculations, classical atomistic calculations, and visualization, in the areas of computational physics and chemistry. The program can run on GNU/Linux, Apple Mac OS X, and Microsoft Windows platforms. Many file formats are supported, allowing for easy conversion of atomic configuration files. The command-line options allow to construct superc... Title of program: Atomsk Catalogue Id: AEXM_v1_0 Nature of problem Atomistic simulations require the generation of atomic data files. Few software are available to construct atomic systems containing dislocations, especially in anisotropic media. Versions of this program held in the CPC repository in Mendeley Data AEXM_v1_0; Atomsk; 10.1016/j.cpc.2015.07.012
DOI: 10.6084/m9.figshare.12446087.v2
title: Mendonca et al., 2020, Model fits and simulation

description: Model fits and simulations for behavioral data of Mendonca et al. (2020). The impact of learning on perceptual decisions andits implication for speed-accuracy tradeoffs. Nature Communications, 11:2757, 1-15.<br>
DOI: 10.17632/9c4brbnms3
title: Dataset on Consumers' KAP: Investigating Electric Vehicle Adoption in the Indian Automobile Sector.

description: This dataset provides a comprehensive exploration of consumers' perspectives on electric vehicle (EV) adoption in the Indian automobile sector, capturing crucial insights into their knowledge, attitudes, and practices. It encompasses diverse variables, including awareness levels, perceptions, and behavioral patterns, offering a nuanced understanding of the factors influencing the decision-making process regarding EV adoption. With a focus on the Indian market, this dataset serves as a valuable resource for researchers and industry stakeholders seeking to drive sustainable and informed strategies for the future of electric mobility in the region.
DOI: 10.17632/jtwtrbhfcb
title: Equilibrium Model Solver 

description: The research summarises an advanced, multifarious thermodynamic equilibrium model of a downdraft biomass gasifier. The model solver incorporates the operating conditions needed to solve the system of equations along with the multi-equation system. The code is able to predict the syngas composition at different operating parameters, the lower heating value and cold gas efficiency efficiency of the syngas and the tar and char yields. The code can be manipulated accordingly to predict results of different biomass feedstock by changing the ultimate analysis and heating properties of the feedstock.
DOI: 10.17632/539zh45tw2
title: SCWC raw metabolomics data

description: This data set contains all raw un-targeted metabolomics data (fecal and plasma) used in the "Gut microbiota modulates weight gain in mice after discontinued smoke exposure" paper.
DOI: 10.17632/wmh4kz59wz
title: Techno-Economic Energy Dataset for Open Modelling of Decarbonization Pathways in Colombia

description: The data provided were gathered for the assessment of decarbonization pathways in Colombia using the OSeMOSYS framework. However, the data available through this repository are independent of the tool. The dataset presented was collected from websites, reports, and databases of international organizations and national entities, as well as from academic articles. It includes historical and/or projected data (2021-2050) of end-use energy demands, capital and operating costs, efficiencies, operational lifetimes, capacity factors, residual capacities, emission factors, and energy availabilities.
DOI: 10.6084/m9.figshare.24126336.v4
title: STIX dataset

description: The STIX1 and STIX2 data.
DOI: 10.17632/8cbfyt8y6t
title: El Hinojal, Revista de Estudios del MUVI

description: Publicación digital de carácter científico y divulgativo, editada por la Asociación de Amigos del museo Histórico y Etnográfico de Villafranca de la ciudad de Villafranca de los Barros (Badajoz-Extremadura). Esta revista tiene carácter semestral (mayo y diciembre), es gratuita y sus objetivos principales son promover y digundir la labor investigadora qeu se ha desarrrollado y se desarrolla con relación a la historia, el patrimonio, la cultura, la etnografía y el arte en la ciudad de Villafranca de los Barros, en su comarca Tierra de Barros y, por extensión, en la región extremeña (España).
DOI: 10.6084/m9.figshare.24803499.v1
title: EEG and fNIRS Datasets Based on Stroop Task during Two Weeks of High-Altitude Exposure in New Immigrants

description: The open access dataset we have provided aim to precisely measure cerebral oxygen levels and EEG dynamics, with a particular focus on populations in extreme environments such as hypoxia. This resource holds significant promise, especially for individuals facing oxygen deficiency challenges. The comprehensive nature of our dataset offers a robust foundation for refining and optimizing technologies dedicated to monitoring neurophysiological responses in real-world, high-altitude scenarios. We anticipate that our contributions will foster advancements in medical instrumentation and computational methodologies, ultimately enhancing our ability to safeguard the well-being of individuals exposed to extreme environmental conditions.
DOI: 10.6084/m9.figshare.28653461.v1
title: Supplemental_Table_1

description: Mass mass spectrometry parameters for energy metabolite quantification
DOI: 10.6084/m9.figshare.28779317.v2
title: Data for "<b>Motion adaptation effects from viewing another’s gaze cannot be explained by action expectations</b>"

description: Source data for the paper "<b>Motion adaptation effects from viewing another’s gaze cannot be explained by action expectations</b>"
DOI: 10.15468/dl.bqdgre
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salsola kali L.",
 "Country is Armenia"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012957-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/73hy4mc7m9
title: Agamon Hula Lake Research data

description: Summertime Eddy covariance measurement and micrometeorological variables from the Agmon Hula Lake (27/05/2021-27/07/2021)
DOI: 10.17632/z2ssgjhk86
title: Dataset for Data Analysis of Electricity Service in Colombia’s Non-Interconnected Zones through Different Clustering Techniques

description: Analysis the quality of the energy service in the Non-Interconnected Zones (NIZ) of Colombia applying clustering techniques in this context, for identify patterns or hidden information in the Colombian government data related to the state of the electricity service in these localities during the years 2019–2020.
DOI: 10.17632/3dytgcwgk7
title: Mutation analysis in syndromic short stature

description: In the manuscript entitled “Molecular genetic analysis and growth hormone response in patients with syndromic short stature”  for consideration as an original article in BMC Medical Genomics. The data was  generated in our study.
DOI: 10.17632/745n5wnt7v
title: RSD-BD: Road Surface Damage Image Dataset from Major Cities of Bangladesh for Deep Learning & Computer Vision Research

description: This dataset comprises 1500 high-quality images depicting various forms of road surface damage collected from major cities in Bangladesh, specifically Dhaka, Mymensingh, and Chattogram. The dataset captures real-world conditions of urban and semi-urban road networks, providing valuable visual data for analysis in computer vision, machine learning, deep learning, and civil infrastructure research. The images are captured under diverse lighting conditions and angles, ensuring variability and practical utility for robust algorithm development.

Dataset Composition:

Total Images: 1500

Format: JPG

Image Resolution: Varied, high-resolution suitable for computer vision tasks.

Class-wise Distribution:

Asphalt Damage: 500 images

Crack: 500 images

Pothole: 500 images

Dataset Potential Applications:

Training, validation, and benchmarking for deep learning and machine learning algorithms focusing on road infrastructure assessment.

Development of computer vision-based automated systems for road damage detection and classification.

Research and development in intelligent transportation systems (ITS), smart city infrastructure management, and predictive road maintenance.

Analysis and testing of algorithms for damage severity assessment and automated cost estimation for repairs.

Intended Users:

Researchers in civil engineering, transportation, and urban planning.

Machine learning and computer vision practitioners focus on infrastructure monitoring and predictive maintenance.

Government bodies and policymakers are interested in infrastructural health assessments and proactive maintenance planning.
DOI: 10.17632/96jwzrp7fd
title: ITC-Net-MingledApp: A comprehensive dataset of mixed mobile application traffic for robust network traffic classification, domain adaptation, and generalization in diverse environments - Qom Dataset

description: This repository is part of the ITC-NetMingledApp dataset, which includes network traffic data from 36 Android applications, with each capture featuring concurrent traffic from multiple applications and smartphones.
This repository contains data related to the Iran-Qom scenario. Each capture is stored in a compressed file containing the relevant PCAP files of the associated applications. 
The PCAP files are named according to a convention: {TimeStamp}_{Application Name}{Download-Upload Speed}.pcap
DOI: 10.17632/8ccwk2fvn8
title: A dataset of micromorphological features in a) buried soils of Early Iron Age within the Medieval archaeological sites and b) modern surface soils in the forest-steppe zone of the East European Plain

description: This dataset of micromorphological photos reflecting the variability of soil microstructure features between the buried soils of different age and modern surface soils. Characteristics of the shape and size of nodules, cutans, pore space, micromass, and etc. can be studied. The photographs were not segmented so that the data set could be used for the valuation of soil microstructure features quantitative indicators in any software.
DOI: 10.17632/dt4rsrz9jb
title: Vibration signals

description: Vibration signals
DOI: 10.17632/kxc4gjrf4d
title: Optical Coherence Tomography Image Dataset of  Various Wool Types

description: Optical Coherence Tomography Image Dataset of  Various Wool Types. OCT of Merino top, mixed (blended) coarse wool, card sliver from coarse wool, and medium thickness scoured sliver are recorded in their corresponding folders.
DOI: 10.6084/m9.figshare.11858145.v4
title: Data and codes for EAU

description: XZ.tif is the boundary of the study area
DOI: 10.17632/ghhxtb45mm
title: Dreissena polymorpha metabolome

description: The freshwater zebra mussel, Dreissena polymorpha, is extensively used as a sentinel species for biosurvey of environmental contaminants in freshwater ecosystems and for ecotoxicological studies. However, little is still known about the input of its metabolome and particularly concerning a potential molecular sexual dimorphism observable in the different tissues of this organism. In an ecotoxicological point of view, inter-sex and inter-organ differences in the metabolome composition might induce bias and influence the robustness of data analysis or interpretation, especially in the case males and females would be used indifferently for specific biomarker measurements. Recent metabolomic approaches are more and more often used to identify new potent biomarkers. They can also be useful to develop experimental protocols and to specify the type of sample to focus on, in terms of sex and tissues. The purpose of this study is to use a non-target metabolomic approach to assess if the molecular fingerprints of various tissues of D. polymorpha may reveal tissue-specific molecular sexual dimorphism. Our results highlight the critical need of considering inter-sex differences in the metabolome of D. polymorpha, particularly if studies are focused on the observation of environmental effects on the molecular regulation in genital or digestive glands.
DOI: 10.17632/kwyz4gby2k
title: An image dataset of Amaranthus Dubius leaf images

description: This dataset is based on Amaranthus Dubius’s Diseases. Three types of Disease have been found. Anthracnose,Leaf Blight and Shot Hole. 108 images of Anthracnose, 102 images of Leaf Blight , 124 images of Shot Hole and 128 images of fresh Amaranthus Dubius. Leaves have been collected from Gouronagar, Bagpara. Therefore, total 462 images.
DOI: 10.6084/m9.figshare.16627903.v1
title: Pure Ti, tensile data at RT and LN2

description: Original tensile data of Ti-Al-O alloys at both room temperature and cryogenic temperature.
DOI: 10.17632/chg348gtxp
title: ML SARDs

description: Complete code for running random forest model and analyzing performance from Forrest et al., "A machine learning model identifies patients in need of autoimmune disease testing using electronic health records", Nature Communications 2023.
DOI: 10.17632/f9phgbv4rs
title: Relaxed selection limits lifespan by increasing mutation load, Cui et al. (2019) Cell
DOI: 10.17632/gyz3zrnfrx
title: Table S1. Multivariable logistic regression model for receipt of radiotherapy in patients with Merkel cell carcinoma

description: Multivariable logistic regression model for receipt of radiotherapy in patients with Merkel cell carcinoma
DOI: 10.6084/m9.figshare.13728361.v2
title: README

description: Readme file for generating the correct directory structure for R code.<br>
DOI: 10.6084/m9.figshare.28094780.v2
title: HCDT 2.0 A Highly Confident Drug-Target Database for Experimentally Validated Genes, RNAs, and Pathways

description: Drug-target interactions constitute the fundamental basis for understanding drug action mechanisms and advancing therapeutic discovery. While existing drug-target databases have contributed valuable resources, they exhibit structural and functional fragmentation due to heterogeneous data sources and annotation standards. Building upon the high-confidence drug-gene interactions curated in HCDT 1.0, we present HCDT 2.0, a comprehensive and standardized resource that expands the scope through multiomics data integration. This update incorporates three-dimensional interactions including drug-gene, drug-RNA and drug-pathway interactions, achieved through systematic standardization of chemical entities, nucleic acid identifiers, gene symbols, and pathway annotations. The current version contains 1,284,353 curated interactions: 1,224,774 drug-gene pairs (678,564 drugs×5,692 genes), 11,770 drug-RNA mappings (316 drugs×6,430 RNAs), and 47,809 drug-pathway links (6,290 drugs×3,143 pathways), alongside 16,317 drug-disease associations. To enhance biological interpretability, we further integrated pathway-gene and RNA-gene regulatory relationships. This integrative framework not only addresses critical gaps in cross-scale data representation but also establishes a robust foundation for systems pharmacology applications, including drug repurposing, adverse event prediction, and precision oncology strategies.
DOI: 10.17632/9h7p3pcbnh
title: Data for: Ungulate turnover in the Koobi Fora Formation: Spatial and temporal variation in the Early Pleistocene

description: Dataset S1 is the full list of specimens evaluated. Dataset S2 is the full list of isotope specimens evaluated.
DOI: 10.17632/nddmgkm3cc
title: Supply Chain Impact Mapping (SCIM) Matlab Tool – time series up to 2022 (Exiobase v3.82)

description: same as Version 5 but based on EXIOBASE3 version 3.8.2, covering time series from 1995 to 2022 (https://zenodo.org/record/5589597#.ZBxkDy9Xbjw)

Data for the years 1995,2011, and 2022 are already contained in the tool (in the folder Input_Data). Data for the other years need to be downloaded from this link: https://zenodo.org/record/5589597#.ZBxkDy9Xbjw
and stored in the folder Input_Data.
e.g.: SCIM_v6/Input_Data/IOT_2011_ixi

HOW TO USE THE TOOL:

1. Download matlab
A test matlab software for free can be downloaded here: https://ch.mathworks.com/de/campaigns/products/trials.html

2. Download the folder "SCIM_v6" below.

3. In the folder "SCIM_v6" open the matlab app called “Sustainability_Performance_Analysis.mlapp”. This will also open matlab which will run in the background. Take your settings from the provided listboxes (select the target sectors, target regions, indicators, timespan and how you want to display your results). Label your folder and press the calculation button. You will be informed when your results are ready. The results will be stored as text files (which can be opened as excel files) in your created folder.
DOI: 10.17632/rk96sjvfnw
title: Мультипликаторы телекоммуникационных компаний мира за период с 2010-2020 годы

description: Гипотеза состоит в том, что использование операционного денежного потока (OpCF) вместо EBITDA для построения мультипликатора подходит лучше. Так как EBITDA может показывать некоторые искажения.
DOI: 10.17632/36yv9ghv2w
title: BVC_PNA

description: We study the influence from social interactions on equity trading. Using unique data on stock transactions, we exploit the quasi-random assignment of students to classrooms in a financial training program to identify how peer experience affects investor behavior. We find that individuals react more to peer gains than to peer losses. Students enrolled in courses where peers have positive outcomes: (i) are more likely to start trading, (ii) purchase similar stocks as their classmates, and (iii) are disproportionally attracted to stocks with extreme returns. These stocks have low subsequent returns, and new investors reacting to peer gains underperform other investors.

Escobar, Laura; Pedraza, Alvaro (2023). Active Trading and (Poor) Performance: The Social Transmission Channel
DOI: 10.17632/z8kzsy4mp7
title: Seismic SAFety and Energy efficiency: Integrated technologies and multi-criteria performance-based design for building FACadEs

description: This repository houses all publications and datasets created during the EU-funded SAFE-FACE research project, led by Dr. S. Bianchi.
DOI: 10.6084/m9.figshare.24427468.v1
title: OTB2015

description: OTB-2015Introduced by Yi Wu et al. in Object Tracking BenchmarkY. Wu, J. Lim and M. -H. Yang, "Object Tracking Benchmark," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 9, pp. 1834-1848, 1 Sept. 2015, doi: 10.1109/TPAMI.2014.2388226.<b>OTB-2015</b>, also referred as Visual Tracker Benchmark, is a visual tracking dataset. It contains 100 commonly used video sequences for evaluating visual tracking.
DOI: 10.17632/f89dc85fwk
title: Understanding the Effects of Social Media Marketing on Customers’ Bank Loyalty

description: This data were used to analyse and understanding the effects of social media marketing on customers’ bank loyalty in Jordan. We find the following:
This study used customers’ experiences to assess the role of social media marketing (SMM) efforts in increasing online customer-based loyalty in the banking sector in Jordan, and using the two main components of the TAM model, perceived the ease of use and perceived usefulness, to understand the relationship. Data were gathered through an online survey with 329 respondents through online banking services in Jordan. A test of the structural equation model (SEM) indicated that perceived usefulness strongly affects electronic word of mouth (EWM), informativeness (INF), and social media features (SMF); and perceived ease of use is indirectly linked to these factors. Behavioral in-tention is strongly affected by both the perceived usefulness and the ease of use of online banking services. Based on the self-proposed model, e-marketing has impacted customers’ bank loyalty regarding its online services, and the role of social media marketing has remained very important to enhancing customer-based loyalty. This study contributes to the literature by integrating SMF, EWM, and INF in a single framework. It also provides managerial implications and guides for scholars, managers, and practitioners in e-marketing to use customers’ experience to increase customer loyalty. Further research and suggestions are offered.