cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9pr3cpf33g
title: Data for: DNA barcode and minibarcode identification of freshwater fishes from Cerrado headwater streams in central Brazil

description: Data accession in support of the manuscript by Bagley et al. (in revision) on DNA barcoding headwater stream freshwater fishes of the Brazilian Distrito Federal (DF) and surrounding areas of the Brazilian Shield in central Brazil. This accession contains several folders of files, including data and code that will allow the user to recreate the analyses in the corresponding paper. Directories include Alignments/, PartitionFinder/, SpeciesIdentifier/, MrBayes/, and R/ subfolders. Contents are as follows: - Alignments/ contains a small set of aligned, edited DNA sequences in different alignment formats (NEXUS, PHYLIP). Alignments with "n149" in the name contain the full 'final' dataset analyzed in our study, with n = 149 DNA barcodes corresponding to specimens listed in Data S1 of the Supporting Information for the paper. The PHYLIP alignment with "n103" in the name contains the reduced "No-Characidium" dataset analyzed for the paper, from which Characidium individuals have been removed. - The PartitionFinder/ subfolder contains folders with files for conducting two separate runs of our dataset in PartitionFinder v2.1.1 (Lanfear et al. 2014), as described in the paper. - The SpeciesIdentifier/ subfolder contains input files formatted for SpeciesIdentifier v1.8 (Meier et al. 2006), which were used during SpeciesIdentifier analyses described in the paper. - MrBayes/ directory contains a run folder for one run of MrBayes conducted for the paper. A NEXUS file formatted for MrBayes v3.2+ and a batch submission file for queueing the run on a supercomputing cluster are provided. The file named "Mrbayes_sumtp_log.txt" provides the output of running parameter and tree summaries, to summarize the posterior results of the run, using the 'sumt' and 'sump' functions in MrBayes. - The R/ subfolder contains several DNA sequence input files and an R script named "CerradoFish_cox1_n149_DNA_Barcoding_R_Analysis.R" that runs a variety of DNA barcoding-related analyses in R while drawing on the sequence files. The "seqs2" / "fishSpp2" objects are the main objects used when analyzing the full dataset (n = 149 barcodes). The "seqs3" / "fishSpp3" objects are the main objects used when analyzing the No-Characidium dataset (n = 103 barcodes). Running the R script produces many outputs and figures used or modified for the manuscript. REFERENCES Bagley, J. C., De Podestà Uchôa de Aquino, P., Breitman, M. F., Langeani, F., & Colli, G. R. (in revision) DNA barcode and minibarcode identification of freshwater fishes from Cerrado headwater streams in central Brazil. Journal of Fish Biology. Lanfear, R., Calcott, B., Kainer, D., Mayer, C., & Stamatakis, A. (2014) Selecting optimal partitioning schemes for phylogenomic datasets. BMC Evolutionary Biology 14, 82. Meier, R., Shiyang, K., Vaidya, G., & Ng, P. K. L. (2006) DNA barcoding and taxonomy in Diptera: a tale of high intraspecific variability and low identification success. Systematic Biology 55, 715–728.
DOI: 10.6084/m9.figshare.28122389.v1
title: 24B02428832__(Z241218-0306)FANCD2_ex16_2F__F09_2412180006G.ab1

description: 24B02428832__(Z241218-0306)FANCD2_ex16_2F__F09_2412180006G.ab1
DOI: 10.17632/pm98pzpvv9
title: PNAS - Digital Rheometer Twin

description: Here, we are including the data used in the PNAS paper with doi of "https://doi.org/10.1073/pnas.2202234119" entitled "Digital rheometer twins: Learning the hidden rheology of complex fluids through rheology-informed graph neural networks".
DOI: 10.6084/m9.figshare.9335081.v1
title: Data set for the paper "Effects of latent toxoplasmosis on mental health"

description: Data are described in the paper "<b>Effects of latent toxoplasmosis on mental health"</b><b>Abstract</b>Infection by the parasite <i>Toxoplasma</i>, which affects about 33% of world population, is associated with increased risk of several mental health disorders, especially with schizophrenia. It is unknown whether schizophrenia is associated with this infection the most strongly, or whether this association has just been the most intensively studied for historical reasons. We used the data from 6,367 subjects tested for toxoplasmosis, who took part in an internet survey, for searching in the associations of these infections with 24 mental health disorders and other indices of impaired mental health. The typical symptom associated with toxoplasmosis was anxiety, and the typical toxoplasmosis-associated disorders were autism (OR=4.78), schizophrenia (OR=3.34), attention deficit hyperactivity disorder (OR=2.50), obsessive compulsive disorder (OR=1.86), antisocial personality disorder (OR=1.63), learning disabilities (OR=1.59), and anxiety disorder (OR=1.48). Based on our data we can conclude that Toxoplasmosis probably plays a substantial role in the etiopathogenesis of mental health disorders and its association with schizophrenia is the second strongest association, after autism.<b></b>
DOI: 10.17632/v6437jt82w
title: TB REACH PATH Nagpur project data

description: TB register for TB REACH project with anonymized data which was used for the publication titled 'Implementing chest x-ray artificial intelligence tool to enhance tuberculosis screening, India: Lessons learnt '
DOI: 10.17632/csvdrr4d68
title: The Abinit project: Impact, environment and recent developments

description: Abinit is a material- and nanostructure-oriented package that implements density-functional theory (DFT) and many-body perturbation theory (MBPT) to find, from first principles, numerous properties including total energy, electronic structure, vibrational and thermodynamic properties, different dielectric and non-linear optical properties, and related spectra. In the special issue to celebrate the 40th anniversary of CPC, published in 2009, a detailed account of Abinit was included [Gonze et al. (2009)], and has been amply cited. The present article comes as a follow-up to this 2009 publication. It includes an analysis of the impact that Abinit has had, through for example the bibliometric indicators of the 2009 publication. Links with several other computational materials science projects are described. This article also covers the new capabilities of Abinit that have been implemented during the last three years, complementing a recent update of the 2009 article published in 2016. Physical and technical developments inside the abinit application are covered, as well as developments provided with the Abinit package, such as the multibinit and a-tdep projects, and related Abinit organization developments such as AbiPy . The new developments are described with relevant references, input variables, tests, and tutorials.
DOI: 10.6084/m9.figshare.27101053.v3
title: <b>Factors Influencing Betel Quid Dependency in Rural Bangladesh: A Cross-Sectional Study</b>

description: <b>Background: </b>Areca nut, the fourth most commonly used social drug and the main component of betel quid, is widely consumed, with over 600 million users, mainly in Southern Asia. This addictive substance is carcinogenic and poses serious health risks, with well-documented negative effects on oral health, including lesions and cancer. The objective of this study is to assess the level of dependency among Betel Quid users and to identify the key factors that significantly influence this dependency.<b>Method: </b>This cross-sectional study was conducted on 400 randomly selected samples from a purposefully chosen rural subdistrict of Bangladesh between January and June 2023. A structured questionnaire was used to collect data on sociodemographics, betel quid usage, reasons for chewing, quit attempts, and dependency. Data analysis was conducted using SPSS and Jamovi, employing confirmatory factor analysis, structural equation modeling, and binary logistic regression. Results were reported as adjusted odds ratios with 95% confidence intervals and p-values.<b>Conclusion</b>: Validating a culture-specific, shorter version of the BQDS offers an opportunity for large-scale surveys. By collecting data on betel quid dependence, we can enhance public health initiatives and raise awareness about its risks, promoting healthier practices in communities.
DOI: 10.17632/7pbjvjsbvb
title: Sustainability or Performance? Ratings and Fund Managers’ Incentives

description: Replication package. The March 9 updated version includes the following minor comments from the data editor:
 1. Information about the hardware and computational time for the analyses to the readme file 
2. Code "set varabbrev on" to the do file Code for data construction.do
3. We use the full name of a variable instead of the abbreviation in Code for data construction.do,
DOI: 10.17632/vd3xhgmfyp
title: Age-related qualitative differences in post-error cognitive control adjustments

description: Detecting an error signals the need for increased cognitive control and behavioural adjustments. Considerable development in performance monitoring and cognitive control is evidenced by lower error rates and faster response times in multi-trial executive function tasks with age. Besides these quantitative changes, we were interested in whether qualitative changes in balancing accuracy and speed contribute to developmental progression during elementary school years. We conducted two studies investigating the temporal and developmental trajectories of post-error slowing in three prominent cognitive conflict tasks (Stroop, Simon, and flanker). We instructed children (8-, 10-, and 12-year-old) and adults to respond as fast and as accurately as possible and measured their response times on four trials after correct and incorrect responses to a cognitive conflict. Results revealed that all age groups had longer response times on post-error versus post-correct trials, reflecting post-error slowing. Critically, slowing on the first post-error trial declined with age, suggesting an age-related reduction in the orienting response toward errors. This age effect diminished on subsequent trials, suggesting more fine-tuned cognitive control adjustments with age. Overall, the consistent pattern across tasks suggests an age-related change from a relatively strong orienting response to more balanced cognitive control adaptations.
DOI: 10.17632/4x7xkj3d4p
title: Accelerator for bibliometric study

description: This accelerator is based on the bibliometric study that is an effective way to analyze how the intellectual production is on one or several themes, its use is a frequent practice in applied social science research to improve the understanding of certain topics, identify trends for future research , associate records, identify authors and relevant publications. The "Web of Science" platform has an extensive multidisciplinary database and allows the export of records in files that can later be used for analysis. As a form of support for this process, a spreadsheet was developed to help researchers from the search for themes in the Web of Science platform to the automatic processing of graphs and reports.
DOI: 10.17632/9p4zfyjc27
title: A data report on the effect of terrain types on the windcatcher's performance 

description: Three-dimensional steady CFD simulations were conducted to produce the numerical raw data, including the ventilation performance indexes, to investigate the natural ventilation capability of a bidirectional windcatcher in the presence of the free wind stream disturbed by the different types of terrain. In order to produce the data, a step-by-step process was followed. The generated geometry of the building model along with its two-sided windcatcher (in Rhino) was imported into the Hexpress software to build up the computational grid and finally it was fed to ANSYS Fluent to run the simulations following the predefined numerical solution settings. The calculated simulations produced the flow field and temperature distribution inside the generic building exposed to the wind flow with a reference wind speed of 3.1 m/s at the reference height of 10 m (wind condition of the city of Nottingham, the UK). The effect of four various ground surface features (open, rough, suburban and urban areas) and two different thermal scenarios (outdoor temperatures of 21.5 ºC and 26 ºC) on the wind flow and indoor thermal conditions was studied. The reported numerical data contributes to future numerical and experimental investigations toward aerodynamic design improvements for the windcatchers.
DOI: 10.17632/m448rzky7y
title: Expert-Level Understanding of Social Scenes Requires Early Visual Experience. Naveh et al.

description: We studied 28 late-sighted Ethiopian children who were born with bilateral cataracts and remained nearly-blind for years, recovering pattern-vision only at late childhood. This "natural experiment" offers a rare opportunity to assess the causal effect of early visual experience on later function acquisition. Here, we focus on vision-based understanding of human social-interactions. The late-sighted were poorer than typically-developing peers (albeit better than chance) in categorizing observed social scenes (as friendly or aggressive), irrespective of the display format (i.e. full-body videos, still images, or point-light displays). They were also impaired in recognizing single-person attributes which are useful for human interaction understanding (such as judging heading-direction based on biological-motion cues, or emotional states from body-posture gestures). Thus, comprehension of visually-observed socially-relevant actions and body gestures is impaired in the late-sighted. We conclude that early visual experience is necessary for developing the skills required for utilizing visual cues for social scene understanding.

The dataset consists of the stimuli used for the experiments in the paper “Expert-Level Understanding of Social Scenes Requires Early Visual Experience”. 

The stimuli for experiments 1, 2 & 3 were animated based on motion capture data, obtained from three databases: mocap.cs.cmu.edu, created with funding from NSF EIA-0196217; motekentertainment.com; and the PLAViMoP database (https://plavimop.prd.fr/en/motions). Recorded trajectories were processed and retargeted on avatar models from the Mixamo dataset (https://www.mixamo.com), using the commercial software Autodesk Motion Builder (http://usa.autodesk.com), with different combinations of six avatars, downloaded from the Mixamo dataset (https://www.mixamo.com). 

The stimuli for experiment 4 are based on images from the BESST body postures pictures set (www.rub.de/neuropsy/BESST.html). The face in each image was obscured by a grey ellipse.
DOI: 10.17632/86tsnnbv2w
title: Astronaut database

description: This database contains publically available information about all astronauts who participated in space missions before 15 January 2020 collected from NASA, Roscosmos, and fun-made websites. The provided information includes full astronaut name, sex, date of birth, nationality, military status, a title and year of a selction program, and information about each mission completed by a particular astronaut such as a year, ascend and descend shuttle names, mission and extravehicular activity (EVAs) durations.
DOI: 10.17632/3gmbcyr5n7
title: Data that support the use of agroindustrial wastes orange peel and sugarcane bagasse for the production of carbonaceous structures and their application in the metal ions removal

description: The data contain additional information for the production of activated carbons (AC) and carbon foams (CF) from agroindustrial wastes, orange peel (OP) and sugarcane bagasse (SCB).  The data were obtained from characterization of carbonaceous structures (AC and CF) and their used in the metal ions removal contained in polluted water.
 The data can be useful or used by researchers to compare the application of different biomasses to produce activated carbon or carbon foams for wastewater treatment. 
The data are valuable because it provides information on adsorption equilibrium; using two adsorbent materials: activated carbons and carbon foams synthesized from agro-industrial wastes (orange peel and sugarcane bagasse). Data show that agro-industrial wastes from orange peel and sugarcane bagasse can remove heavy metal ions and can be proposed for their used in treatment of water. BET data provide information on the effect of activation temperature on the pore size distribution and surface area of the material. Zeta potential (ζ) data give important insight on the effect of pH on the charge surface of material in relation to their capacity adsorption. The data from this research open up alternatives to propose and study orange peel and sugarcane bagasse to remove other types of contaminants. 
-The data folder for the analysis of metal removal contains the graphs of activated carbon synthesized from orange peel and sugar cane bagasse at 500 and 700 °C, as well as the data sheets.
-The BET isotherms folder contains the graphs derived from the analysis for the removal of copper and lead using activated carbon and carbon foams as a function of temperature and pH.
-Particle size distribution analysis from hydrodynamic diameter during DLS measurements is presented in the form of histograms and distribution curves for activated carbon at 700 °C in the folder particle size analysis.
-The folder labeled as pore size distribution contains the complete graphs of the activated carbon and carbon foam systems analyzed from both SCB and OP agroindustrial waste sources as a function of activation temperature. also the source data are reported.
-Finally, an analysis of zeta potential  (zeta potential folder) as a function of pH is presented for activated carbon and carbon foams at a temperature of 700 °C. Likewise, you can find the source data obtained directly from the equipment used for the characterization
DOI: 10.17632/d5k3gz9f53
title: Tangshan Earthquake Catalogue, China (1976-2021)

description: The dataset includes a catalogue of earthquakes with a magnitude of 2 or higher after the Tangshan M7.8 earthquake in July 1976 to 2021. The data set is provided by China Earthquake Networks Center, National Earthquake Data Center. (http://data.earthquake.cn).
DOI: 10.17632/pvrfvc43cp
title: KurdSum Dataset

description: The KurdSum dataset stands as a comprehensive and invaluable resource for the development and enhancement of Kurdish language summarization models. With a vast collection of over 40,000 news articles, each meticulously distilled by proficient Kurdish journalists, the dataset provides an unparalleled corpus that encapsulates the myriad facets of human knowledge and experience.
Encompassing an extensive spectrum of subjects, the KurdSum dataset spans across diverse domains including politics, sports, science, society, religion, health, art, and more. This encompassing variety ensures that the dataset mirrors the rich tapestry of topics that captivate the interests and concerns of Kurdish speakers.
At the heart of KurdSum lies the diligent effort of skilled journalists who have skillfully distilled the essence of each article into concise summaries. This human touch brings a layer of contextual understanding, nuance, and linguistic finesse to the dataset. The inclusion of manually generated summaries not only aids in constructing coherent and coherent summaries but also serves as a source of inspiration for generating high-quality abstractions in Kurdish text.
Researchers, developers, and language enthusiasts seeking to delve into the realm of Kurdish summarization stand to gain significantly from the KurdSum dataset. With its vast volume of diverse content and journalist-crafted summaries, the dataset provides a robust foundation for training and fine-tuning summarization models tailored to the nuances of the Kurdish language. This resource not only empowers the creation of efficient and accurate summarization algorithms but also nurtures the growth of natural language understanding within the Kurdish linguistic landscape.
In conclusion, the KurdSum dataset emerges as a treasure trove of knowledge, thoughtfully curated by Kurdish journalists, that serves as a cornerstone for the development of Kurdish summarization models. Its extensive coverage of topics, precision-crafted summaries, and commitment to the Kurdish language make it an indispensable asset for researchers and developers striving to unlock the potential of automated summarization in the Kurdish linguistic context.
In this, version , we have removed the categories column in the dataset as we are currently in the process of developing and adding more accurate categories to the headlines news. Once process is completed, we will upload the final version.
DOI: 10.17632/zb6mnt2gsy
title: Simulation code and data set for article "Introducing Word's Importance Level-Based Text Summarization Using Tree Structure", International Journal of Information Retrieval Research (IJIRR), 10 (1), 13-33, 2020.

description: Simulation code and data set for article "Introducing Word's Importance Level-Based Text Summarization Using Tree Structure", International Journal of Information Retrieval Research (IJIRR), 10 (1), 13-33, 2020.
DOI: 10.17632/xv24ngy2dz
title: Taita Taveta County, Kenya - 2020 Land cover map and reference database 

description: This dataset contains land cover map and reference database of Taita Taveta County, Kenya, for the year 2020. The land cover map was prepared at 20m spatial resolution from Sentinel-1 SAR, Sentinel-2 MSI, and topoclimate data applying machine learning algorithm. The dataset has three sub-folders: 1) land cover map that comprises raster file, QGIS style information in qml format, and class names in txt file; 2) reference database for classification in shapefile format; and 3) reference database for sample-based accuracy assessment in shapefile format.
DOI: 10.17632/8j6dn4gdm8
title: CTNNA2 20241211

description: Data of 6 figures
DOI: 10.6084/m9.figshare.28624961.v2
title: Data for Figures.zip

description: This data corresponds to the measurements performed on cuprate/manganite heterostructures exhibiting spontaneous voltage/current when cooled below 130K.
DOI: 10.17632/x574wpp2vg
title: GRASP2018—A Fortran 95 version of the General Relativistic Atomic Structure Package

description: The present Grasp2018 is an updated Fortran 95 version of the recommended block versions of programs from Grasp2K Version 1_1 for large-scale calculations Jönsson et al. (2013). MPI programs are included so that all major tasks can be executed using parallel computers. Tools have been added that simplify the generation of configuration state function expansions for the multireference single- and double computational model. Names of programs have been changed to accurately reflect the task performed by the code. Modifications to the relativistic self-consistent field program have been made that, in some instances, greatly reduce the number of iterations needed for determining the requested eigenvalues and the memory required. Changes have been made to the relativistic configuration interaction program to substantially cut down on the time for constructing the Hamiltonian matrix for configuration state function expansions based on large orbital sets. In the case of a finite nucleus the grid points have been changed so that the first non-zero point is Z-dependent as for the point nucleus. A number of tools have been developed to generate LaTeX tables of eigenvalue composition, energies, transition data and lifetimes. Tools for plotting and analyzing computed properties along an iso-electronic sequence have also been added. A number of minor errors have been corrected. A detailed manual is included that describes different aspects of the package as well as the steps needed in order to produce reliable results.