cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3t4782ksbt.1
title: Mobile Payment Research Dataset (1997-2019)

description: The mobile payment reseach & publication dataset, which was indexed by Scopus from 1997 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/kggzfwpdr9.1
title: Lychee monoploid and haplotype-resolved genome sequence

description: Lychee (Litchi chinensis Sonn.), which belongs to the flowering plant family Sapindaceae, is the second most important tropical fruit tree species worldwide and the most valuable fruit for which the edible portion is an aril. It is one of the most important woody fruit tree species that is cultivated in tropical regions for global commerce. The genome of cultivar 'Feizixiao' was assembled into 15 pseudo-chromosomes, totaling ~470 Mb. High heterozygosity (2.27%) resulted in two complete haplotypic assemblies. 13,517 allelic genes (42.4%) were differentially expressed in diverse tissues. Analyses of 72 re-sequenced lychee genomes revealed two independent domestication events.
DOI: 10.17632/t7h3thp93m
title: List of genetic tests and genetic information

description: The main sample was based on second-generation sequencing technology, and the exon-based region was captured using a capture probe (GenCap) to cover the exon of the target gene and the single nucleotide variation (SNV), short fragment insertion deletion (indel), gene copy number variation (CNV) of ±50bp. Analysis of the sample revealed A heterozygous mutation in the NR3C1 gene: A heterozygous mutation in nucleotide 1839 from thymine T to adenine A (c.1839T&gt;A), resulting in amino acid 613 from tyrosine to terminator (p.Tyr613Ter).
DOI: 10.17632/36w7ts3r4t.1
title: Data for: A Detailed Li-ion Battery Operation Model

description: This files contain the data used for the computational tests in the paper "A Detailed Li-ion Battery Operation Model". The dataset includes: generator data, lines' parameters, load profile and battery sample points.
DOI: 10.17632/tnkpz57ytd.1
title: Malaysia Fuel Price Data Set 1

description: Cleaned data for Modelling the  Malaysian fuel price, Ron 97
DOI: 10.17632/ycnngyv5bd.5
title: DBLP-NSF dataset SQL dump

description: This dataset is called DBLP-NSF, which is a Postgresql database dump file that connects computer science publications—extracted from DBLP—to their NSF funding grants—extracted from the National Science Foundation grant dataset. This dataset was used in an NSF-funded research project on data citation as an example of extending bibliographic citations to include funding information (NSF IIS 1302212, URLs: https://alliance.seas.upenn.edu/~citation/wiki/, https://www.researchgate.net/project/CiteDB). It is not a complete dataset — not all publications or all grants are included — and is not intended as an authoritatively complete data set to be used for data mining. Special thanks to Shivendra Pandey for his work on developing this dataset.
DOI: 10.17632/zhs97tsdry.1
title: HatchFrac: a fast open-source DFN modeling software in a C++ environment

description: HatchFrac is an efficient DFN modelling software in a C++ environment;
The software is not commercial but a part of my PhD research to investigate the properties of discrete fracture networks.
The code is not in a user-friendly shape since its primary purpose is to solve the scientific problems of DFNs, and I am not a professional programmer.
Professional programmers are welcome to contact me and help me optimize the code or commercialize the software if possible. 
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In the folders "2DFractureNetworks" and "3DFractureNetworks", we provide parts of the software to generate 2D and 3D fracture networks and mimic the fracture growth process;

In the folders "Finalized_2D_Code" and "Finalized_3D_Code", we provide all functions of the software used in my PhD thesis.
You may read my PhD thesis first to have a general knowledge of my work during my PhD period and then try the code.

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The code is written in Visual Studio 2017, and it can be successfully compiled in this version of Visual Studio. If you have the latest version of Visual Studio, you may encounter some difficulties in compiling the code.
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In the code, some functions from the Eigen library are used, so you need to include the Eigen folders in the project. 
You can find detailed information about Eigen with the link: https://eigen.tuxfamily.org/index.php?title=Main_Page
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Simply run the "MainCode.cpp" and activate the corresponding lines of code in Visual Studio 2017 (in "Release x64"  mode) for different projects. You can find the generated data in different folders;
I also provide a simple Matlab code for you to visualize your result, which can be found in the "Fracture_Data" folder and "FractureGrowth_Data" folder;
If you have any questions, please contact me via e-mail: weiwei.zhu@kaust.edu.sa or jacnil@yeah.net.
DOI: 10.17632/2x8z6sw249.1
title: Crop-country specific AWARE water scarcity factors for 160 crops and global coverage 

description: This work provides water scarcity estimates using the AWARE method, which is a recommended method to assess water scarcity footprints and water consumption in LCA

The worksheets "ctry_crop_AWARE_CF" contains the AWARE CFs specific to the average crop growth patterns (regional and temporal distribution) for 160 crops for each country (details described below).

These CFs can be applied to water consumption of crops grown in these countries, as it provides more specific evaluation than the country average AWARE CFs for agricultural production in Boulay et al. (2018).

This data is e.g. used for the calculation of water scarcity result in Multi-Regional Input-Output (MRIO) assessments of UNEP's IRP Global Resource Outlook (Oberle et al. 2019), the new version of UNEP's SCP-HAT tool (http://scp-hat-beta.fineprint.global/) and by Cabernard et al. 2019 & 2020)
DOI: 10.17632/8ckhkssyn3.1
title: Indian Currency Dataset

description: The dataset includes a total of 1,786 images of Indian currency notes from all seven denominations. As the Government of India made changes to Indian currency notes in recent years, there are two different types of notes for certain denominations. The valid Indian currency notes in this dataset are old and new 10-rupee notes, old and new 20-rupee notes, old and new 50-rupee notes, old and new 100-rupee notes, new 200-rupee notes, new 500-rupee notes, and new 2000-rupee notes. The images were captured using a mobile phone camera in various backgrounds and lighting conditions and from different angles. No image augmentation was performed on this dataset. The number of images for each denomination is as follows:
10 - 215
20 - 331
50 - 272
100 - 301
200 - 205
500 - 223
2000 - 239
DOI: 10.17632/npn454p8mb.4
title: Digital Transformation and Tax Uncertainty

description: A-share listed companies of the Shanghai and Shenzhen Stock Exchanges from 2008 to 2023 were selected to comprise the research sample. Considering the particularity of the industry characteristics, the financial industry, special treatment companies, and missing data of variables were eliminated. Moreover, the final research sample contained 14,048 firm-year observations. All continuous variables were winsorized at the 1 and 99% levels.
Financial and tax risk data were obtained from the China Stock Market and Accounting Research and Wind databases. The data of enterprise digital transformation were obtained using Python technology through text analysis.
DOI: 10.17632/r5bztdd766.1
title: Script for: Zhou et al. (2023). A Simulation Study of the Performance of Statistical Models for Count Outcomes with Excessive Zeros 

description: This repository contains the R code for the data generation and analysis for the paper:  

Zhou, Z., Li, D., Huh, D., Xie, M., & Mun, E. Y. (2023). A Simulation Study of the Performance of Statistical Models for Count Outcomes with Excessive Zeros. arXiv preprint arXiv:2301.12674.

Abstract 

Background: Outcome measures that are count variables with excessive zeros are common in health behaviors research. Examples include the number of standard drinks consumed or alcohol-related problems experienced over time. There is a lack of empirical data about the relative performance of prevailing statistical models for assessing the efficacy of interventions when outcomes are zero-inflated, particularly compared with recently developed marginalized count regression approaches for such data.
Methods: The current simulation study examined five commonly used approaches for analyzing count outcomes, including two linear models (with outcomes on raw and log-transformed scales, respectively) and three prevailing count distribution-based models (i.e., Poisson, negative binomial, and zero-inflated Poisson (ZIP) models). We also considered the marginalized zero-inflated Poisson (MZIP) model, a novel alternative that estimates the overall effects on the population mean while adjusting for zero-inflation. Motivated by alcohol misuse prevention trials, extensive simulations were conducted to evaluate and compare the statistical power and Type I error rate of candidate statistical models and approaches across data conditions that varied in sample size (N = 100 to 500), zero rate (0.2 to 0.8), and intervention effect sizes conditions.
Results: Under zero-inflation, the Poisson model failed to control the Type I error rate, resulting in higher than expected false positive results. When the intervention effects on the zero (vs. non-zero) and count parts were in the same direction, the MZIP model had the highest statistical power, followed by the linear model with outcomes on the raw scale, negative binomial model, and ZIP model. The performance of linear model with a log-transformed outcome variable was unsatisfactory. When only one of the effects on the zero (vs. non-zero) part and the count part existed, the ZIP model had the highest statistical power.
Conclusions: The MZIP model demonstrated better statistical properties in detecting true intervention effects and controlling false positive results for zero-inflated count outcomes. This MZIP model may serve as an appealing analytical approach to evaluating overall intervention effects in studies with count outcomes marked by excessive zeros.
DOI: 10.17632/285z5vbwv8.1
title: NCMS_child_outcomes

description: This is Supplementary Data Replication for the paper "Early Childhood Exposure to Health Insurance and Adolescent Outcomes: Evidence from Rural China".
DOI: 10.17632/3234yvxmtn.1
title: Heterogeneity, sunk cost and export performance: a firm level study of Pakistan’s textile sector

description: Firm level Financial Statement data
DOI: 10.17632/zk3tkxndjw.2
title: Tier-based Dataset: Musa-Acuminata Banana Fruit Species

description: Each folder inside the banana image dataset folder contains a banana tier with its six side images. The number corresponds to its sampleID. There are 194 banana tier subjects with six images corresponding to its side views: front, left, right, back, top and bottom. A total of 1,164 banana images. The banana_features.csv shows the extracted features: RGB (red, green, blue) color values, the image side view, class and finger size. There are four class values with its respective numerical value (1: ‘extra class’, 2: ‘class II’, 3: ‘class I’, 4: ‘reject’) and there are 65, 49, 30 and 50 samples per class, respectively. Note that the finger size feature was taken by manually measuring the length of the top middle finger of a banana tier ("hand") in millimeter (mm). This specific finger was assumed to have a regular size compared to other fingers. This dataset can be used for machine learning classification of banana based on its features. In addition, the available images can be used for automating the manual measurement of the top middle finger size.
DOI: 10.17632/2rw5vtz3xh.1
title: Clipped forms in English

description: The raw data presented are compiled into smaller groups depending on the number of syllables of the source words. The truncated item appears in the round bracket, as exemplified in sergeant (sarge) and body (bod) among many others. There is no monosyllabic word in English, which radically reduces. Therefore, the disyllabics are the smallest number of syllables contained in the English word which are subject to word shortening. The total of 750 original words are analyzed into 235 disyllabics, 273 tri-syllabics, 150 quad-syllabics, 70 penta-syllabics, 20 hexa-syllabics and 2 hepta-syllabics. Additionally, 39 source words with varied clipped forms are included in the corpus. The sources are Macquarie Dictionary (1984), Minkova (2018), Quirk et al. (1985), Thorndike and Barnhart (1997), Random House Webster’s College Dictionary (2001), and Collins Online Dictionary (2020). Since as of today there is no data of English truncated items freely available, the way in which the data was collected has some value on its own merit. When the lexical entry of one shortened form was printed in a written text, the form was added to the list of truncated words; nearly every page of the text sources has been investigated.
DOI: 10.17632/htsngg9tpc.3
title: Vehicle Type Image Dataset (Version 2): VTID2

description: After creating VTID, the researchers decided to extend the collection process to create another larger dataset to add further diversity to the dataset in order to avoid data overfitting. Finally, the new dataset, called "Vehicle Type Image Dataset 2 (VTID2)", consisted of 4,356 image samples that could be separated into five vehicle type classes as follows: 1,230 sedans, 1,240 pick-ups, 680 SUVs, 606 hatchbacks, and 600 other vehicle images.
DOI: 10.17632/9h9b224k26.1
title: Original datasets for Adipocyte-derived ferroptotic signaling mitigates obesity

description: Lipidomics and oxylipins datasets
DOI: 10.17632/9y7x95kcyn.1
title: The Climate Change Risk Awareness Scale

description: Items were created for the development of the Climate Change Risk Awareness Scale. The content of the scale was created in 3 dimensions as ‘Safety and Health Awareness’ (8 statements), ‘Productivity and Stress Awareness’ (6 statements), ‘Adaptation and Adaptation Awareness’ (7 statements). The created items were brought together with the users on the online platform and this table was obtained.
DOI: 10.17632/tk6d98f87d.1
title: Mango Variety

description: 15 VARIETY OF MANGO DATA SET FOR RECOGNITION
DOI: 10.17632/m26wv676yn.1
title: Discreet Choice Experiment on car sales in Norway
DOI: 10.17632/nfm2hmcpck.1
title: ATR-FTIR Identification using Spectral Library Databases

description: With the help of the three IR spectral libraries of General Library IR (350 spectra), SWGDRUG IR library-31 May 2018 (503 spectra) and Demo Library (200 spectra), all experimental FTIR spectra were successfully identified after spectral library search. The spectral matching operation was performed by software algorithm (standard search algorithm) with one main component mode in OPUS (Bruker).
DOI: 10.17632/dfmw8fvxc2.1
title: Neuron statistics

description: These data includes Neuron paper statistics and original data
DOI: 10.17632/jkh8n7grbw.1
title: Australian Poaceae

description: Data files for the project "The contemporary distribution of grasses in Australia: a process of immigration, dispersal and shifting dominance".

The analysis in this study used Poaceae records downloaded from Atlas of Living Australia combined with several climatic and landscape variables (see below for link) that were manipulated and transformed in several steps to estimate species richness and relationships to environmental gradients in 100 x 100 km gridded cells across Australia. 

All steps to recreate this analysis from the original data set can be found in the R scripts folder for use in R programming language. Please load the R project file in the same folder stucture and unzip the data folder.

The complete data used in this study is avaiable at: https://doi.ala.org.au/doi/10.26197/5c78c275549a5. Please see the README within this data set for links to the environmental variables used in this analysis.
DOI: 10.17632/4yzd5y5vn6
title: data of Territorial Hosts and Deviant Tourists：Exploring the Linkages in P2P Accommodation

description: Data were collected from 578 visitors who stayed in peer-to-peer (P2P) accommodation settings.
DOI: 10.17632/6r9xpkxgjr.1
title: Personal thermal comfort models with wearable sensors
DOI: 10.17632/5n2f3r2fyb.1
title: Piezoelectric constant for BaTiO3 based ceramics

description: The attached data describes the experimental measured d33 for 98 BaTiO3 based ceramics.
DOI: 10.17632/8vydf3gx8x.1
title: renewable energy

description: renewable energy data
DOI: 10.17632/xw7w5ns649.2
title: Global Database of Foraminiferal Organic Linings: ForamL Version 1.2

description: This database is a collection of references to illustrations of Foraminiferal Organic Linings (FOLs) published in available scientific literature. FOLs are extracted from recent marine samples and sedimentary rocks worldwide. The analysis of the publications led to the collection of 155 scientific reports that illustrate 614 foraminiferal organic linings. All linings have been assigned to supraordinal groups of Foraminifera (Pawlowski et al. 2013), as well as to basic morphologic types of chamber arrangements. The database consists of three tables that cover the whole Phanerozoic split to the Cenozoic, Mesozoic, Paleozoic, and then to systems/periods, i.e. Quaternary, Neogene, Paleogene, Cretaceous, Jurassic, Triassic and older intervals. For each system, scientific publications are referenced chronologically, according to a publication year. The main principle to collect the data was the preparation method based on palynological procedures. The procedures included treating samples with hydrochloric acid (HCl) to remove carbonates, following with hydrofluoric acid (HF) to remove silicates from the sample. The next step was to sieve the extracted organic matter through a 10 or 15 or 20 μm sieve to separate larger organic particles, including palynomorphs with foraminiferal organic linings, for further preparation of palynological slides. Most researchers identified organic residues in palynological slides under optical microscopes equipped in either analogue or digital cameras. Some authors used a scanning electron microscope (SEM) as a supplementary method of documentation. The purpose of gathering the data is to extend scientific knowledge on the origin, taphonomy, and phylogenetic patterns of these fossilizable organic foraminiferal structures. The most recent review of the knowledge on foraminiferal organic linings is presented by Tyszka et al. (2021). The ForamL database will be further supplemented by available records of foraminiferal organic linings, therefore, any new graphic contribution of published and unpublished specimens of FOLs is welcome.
DOI: 10.17632/8rj98pp6km.1
title: "What do saliency models predict?" Koehler, Guo, Zhang, Eckstein, Journal of Vision, 2014

description: Description of this data This data repository contains: 800 Images, observer fixations for three tasks (free search, saliency search, object search) for 19-22 subjects for the same 800 images. In addition, the data set includes explicit judgments of saliency for the 800 images (100 individuals). See paper for more details. https://jov.arvojournals.org/article.aspx?articleid=2121547&resultClick=1 If you use this data, please cite: "What do saliency models predict?" Koehler, Guo, Zhang, Eckstein, Journal of Vision, 2014, 14(2) DOI: 10.11 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Contact info: Katie Koehler (koehler.kathryn@gmail.com) Miguel Eckstein (eckstein@psych.ucsb.edu) Contents of folder: Cues (folder): Images with the cue names for the object search task embedded into a mid-level grey background. Cued objects are absent in images 1-400 and present in images 401-800. _Left and _Right suffixes indicate the expected location of the object based on the context in the image (either on the left half or right half of the image). Odd numbered images contain expected object locations on the left half, even on right. Cues (text file): text file with all cues and image numbers listed on a separate line. Same as cues embedded in images in Cues folder (in case you prefer to generate the cue text yourself in an experiment). Images: 405x405px experimental images (used for all tasks). ObserverData.mat: Matlab file containing all experimental data (explicit judgments and eye movements) in the form of image coordinates. Variables in this file: explicit_judg: matrix containing click locations for each observer in the explicit judgment task. rows index different observers, columns index different images, 3rd dim=coords (x=1, y=2) freeview_x/y, objsearch_x/y, salview_x/y: eye movements locations for each eye movement task. Rows index different observers, columns index different images, 3rd dim indexes eye movement number within a single trial. x- and y-coordinates are recorded in separate matrices as labeled. All text files are labeled by task and contain the same information as the matlab file, along with observer number, image number, and fixation number (in the case of eye movement data). %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Notes about individual images: The resolution and content of each image varies. Depending on your purpose, the factors listed below may prompt you to exclude a few images from use. If you have recommendations for information to include about specific images, please notify the researchers (contact info listed above). Images with disrupted aspect ratios: Image 35 Image 64 Image 184 Image 427 Images with noticable artifacts/pixelation: Image 97 Image 108 Image 184 Image 195 Image 234 Image 251 Image 545 Images with highly sparse content (repetitive background with no clear standout region or foreground object): Image 55 Image 79 Image 92 Image 97 Image 144 Image 147 Image 153 Image 182 Image 232 Image 520
DOI: 10.17632/grs82ws737.1
title: Data for: A Reassessment of urban land-use structure and land-use patterns: CBD or network-based? — Evidence from Chicago
DOI: 10.17632/3mt2h3f4cj.2
title: Household Finances, Debt Overhang and Consumption Patterns

description: This folder contains the codes and instructions necessary to access the data and reproduce the findings in Sala and Trivin (2024), Household Finances, Debt Overhang, and Consumption Patterns.
DOI: 10.17632/9n2kdsf2t9.1
title: Computing 1-D atomic densities in macromolecular simulations: The density profile tool for VMD

description: Abstract Molecular dynamics simulations have a prominent role in biophysics and drug discovery due to the atomistic information they provide on the structure, energetics and dynamics of biomolecules. Specialized software packages are required to analyze simulated trajectories, either interactively or via scripts, to derive quantities of interest and provide insight for further experiments. This paper presents the Density Profile Tool, a package that enhances the Visual Molecular Dynamics environment w... Title of program: Density Profile Tool Catalogue Id: AEQM_v1_0 Nature of problem Compute and visualize one-dimensional density profiles of molecular dynamics trajectories in the VMD environment, either interactively or programmatically. Versions of this program held in the CPC repository in Mendeley Data AEQM_v1_0; Density Profile Tool; 10.1016/j.cpc.2013.08.022 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)