cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/y7pckrw6z2.1
title: Arabic Alphabets Sign Language Dataset (ArASL)

description: A new dataset consists of 54,049 images of ArSL alphabets performed by more than 40 people for 32 standard Arabic signs and alphabets. The number of images per class differs from one class to another. Sample image of all Arabic Language Signs is also attached. The CSV file contains the Label of each corresponding Arabic Sign Language Image based on the image file name.
DOI: 10.17632/by8r2znnpt.1
title: Automation and the Displacement of Labor by Capital: Asset Pricing Theory and Empirical Evidence

description: This package includes code and (publicly available) data used in Automation and the Displacement of Labor by Capital: Asset Pricing Theory and Empirical Evidence
DOI: 10.17632/ffwdk973pn.1
title: Data for: Efficient enrichment of Rb during the magmatic-hydrothermal transition in a highly evolved granitic system: implications from mica chemistry of the Tiantangshan Rb-Sn-W deposit

description: Data for: Efficient enrichment of Rb during the magmatic-hydrothermal transition in a highly evolved granitic system: implications from mica chemistry of the Tiantangshan Rb-Sn-W deposit
DOI: 10.17632/4gcpm9dsc3.1
title: Fetal Abdominal Structures Segmentation Dataset Using Ultrasonic Images

description: Between September 2021 and September 2023, an extensive dataset of fetal ultrasound images was meticulously compiled. The study featured 169 subjects, each contributing a variable number of fetal abdomen circumference (AC) images, totaling nearly 1500 images. Eligible participants were term pregnant women aged 18 years or older, either in labor or scheduled for delivery at the Maternity of University Hospital Polydoro Ernani de São Thiago in Florianópolis, Santa Catarina, Brazil. This encompassed patients scheduled for labor induction, cesarean section, and those facing pregnancy complications, such as the rupture of membranes, gestational diabetes, pre-eclampsia, and intrauterine growth restriction. Non-eligible cases included pre-term pregnancies, multiple pregnancies, and pregnancies with fetal structural or chromosomal anomalies. The gestational age for all pregnancies was determined based on the earliest ultrasound examination. The study received ethical approval from the Ethics Committee in Human Research at the authors' institution, UNIVERSIDADE FEDERAL DE SANTA CATARINA – UFSC, with approval number 4.971.754. All eligible participants were informed about the study's objectives and provided written consent. Expert clinicians used a standardized acquisition protocol to obtain ultrasound images. A common axial section of the fetal AC was captured, with measurements taken at the widest part of the fetal abdomen, spanning the liver. This section encompassed the fetal stomach, aorta artery, spine, and intrahepatic portion of the umbilical vein. Ultrasound images were acquired using Siemens Acuson, Voluson 730 (GE Healthcare Ultrasound), or Philips-EPIQ Elite (Philips Healthcare Ultrasound) equipment, equipped with 2–9 MHz curved linear transducers. For validation, the ultrasound presets excluded post-processing options such as image smoothing, zoom, calipers, pointers, or Doppler measurements. Tissue harmonic imaging and adjustments to settings like frequency, gain, and focus were at the discretion of the performing physician. Images were digitally stored in the original Digital Imaging and Communication in Medicine (DICOM) format for offline analysis. A rigorous quality control process, overseen by two team members, ensured that images with calipers or evident acoustic shadows from bony structures were excluded. Only images meeting these strict quality criteria proceeded to the next phase. Expert clinicians utilized specialized software, specifically version 5.2.2 of 3D Slicer, to process selected DICOM images. This software streamlined the segmentation of abdominal structures, emphasizing key components like the abdominal aorta artery, intrahepatic umbilical vein, stomach, and maximizing liver area for in-depth analysis.
DOI: 10.17632/6ndwt6s5ry.2
title: Tweets’ dataset about Algerian campus

description: Nowadays, social media sites have become a vital part of humans’ lives, allowing peoples to express their opinions, their sentiments and feelings about whatever, whenever and wherever. Therefore, it comes a huge amount of data in which attract researchers to explore and analyse these sites to address research questions in various fields. This data article is about 21422 public tweets related to Algerian universities generated by 9477 users, made during the nine years—January 2011 to March 2020. The retrieved tweets were collected based on specific queries using a python 3 library called GetOldTweets3. Each tweet is represented by 11 variables: ID, username, text, date, number of retweets, number of favorites, mentions, hashtags, and permalink.
DOI: 10.17632/g2mysjfp52.3
title: Stylophora pistillata cell atlas illuminates stony coral symbiosis, calcification and immunity

description: Stony corals are colonial cnidarians that sustain the most biodiverse marine ecosystems on Earth: coral reefs. Despite their ecological importance, little is known about the cell types and molecular pathways that underpin the biology of reef-building corals. Using single-cell RNA sequencing, here we define over 40 cell types across the life cycle of Stylophora pistillata. We discover specialized immune cells, and we uncover the developmental gene expression dynamics of calcium-carbonate skeleton formation. By simultaneously measuring the transcriptomes of coral cells and the algae within them, we characterize the metabolic programs involved in symbiosis in both partners. We also trace the evolution of these coral cell specializations by phylogenetic integration of multiple cnidarian cell type atlases. Overall, this study reveals the molecular and cellular basis of stony coral biology.
DOI: 10.17632/jmbx4vsv5j.1
title: Severe mental disorders and stressful life events

description: The file contains data from 166 individuals with severe mental disorders. It includes sociodemographic and health information, adverse or stressful events, psychopathological symptoms, stigma, difficulties in emotional regulation, social support and mental well-being.
DOI: 10.17632/hwpxz98swn.1
title: Adoption of AI in Education

description: This dataset examines the opinions of undergraduate students in Hangzhou, China, who are studying management, on the use of Artificial Intelligence (AI) in education. The data set is guided by the Diffusion of Innovations Theory (DOI) and explores the factors that influence students' intentions to use AI technologies. The survey was conducted using a random sampling method to ensure comprehensive data collection from 420 Chinese students aged 18-21. The methodology used in this survey was rigorous.
DOI: 10.17632/f8s7r2sf9t.1
title: Imaging mass spectrometry data for liver, muscle, visceral adipose tissue, subcutaneous adipose tissue, and serum

description: Preprocessed imaging mass spectrometry data (.imzML format) for human liver, muscle, visceral adipose tissue, subcutaneous adipose tissue, and serum. Detailed information is given in the publication by Sun et al. "Inter-organ cross-talk in human cancer cachexia revealed by spatial metabolomics" (currently in revision).
DOI: 10.17632/wzbzznk8z3.2
title: A dataset for machine learning research in the field of stress analyses of mechanical structures

description: The dataset is prepared and intended as a data source for development of a stress analysis method based on machine learning. It consists of finite element stress analyses of randomly generated mechanical structures. The dataset contains more than 270,794 pairs of stress analyses images (von Mises stress) of randomly generated 2D structures with predefined thickness and material properties. All the structures are fixed at their bottom edges and loaded with gravity force only. See PREVIEW directory with some examples. The zip file contains all the files in the dataset.
DOI: 10.17632/6gkpt7wx66.1
title: Replication kit for the paper "CEO Turnover and Director Reputation"

description: This replication kit provides pseudo data and code to replicate the exhibits in "CEO Turnover and Director Reputation" by Felix von Meyerinck, Jonas Romer, and Markus Schmid, forthcoming in the Journal of Financial Economics. Additional information and instructions are provided in the Readme file.
DOI: 10.17632/n67gctmjyj.3
title: Plant Leaf Freshness and Disease Detection Dataset From Bangladesh

description: This dataset contains images of widely grown crops in Bangladesh. This dataset contains images of leaf diseases and fresh leaves for 6 vegetables. 

The vegetables are Bitter Gourd with 2223 images, Bottle Gourd with 1803 images, Tomatoes with 2449 images, Eggplants with a total of 2944 images, Cauliflowers with 1598 images, and Cucumbers with 1626 images.
DOI: 10.15468/dl.z7z2zm
title: Occurrence Download

description: A dataset containing 621083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 621083 records from 278 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009367-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jtct7mt8zr.1
title: Guidelines and limits for the quantification of U/Th series radionuclides with the Radium Delayed Coincidence Counter (RaDeCC)

description: Output data from simulations
DOI: 10.17632/37s6ykc6t4.1
title: OVCS_Whole_Exome_Sequencing_files

description: Whole exome sequencing of primary, spleen, RUQ, liver, and vaginal cuff tumors. The raw bam files can be found in the NCBI Sequence Read Archive: http://www.ncbi.nlm.nih.gov/biosample/6199513 http://www.ncbi.nlm.nih.gov/biosample/6199514 http://www.ncbi.nlm.nih.gov/biosample/6199515 http://www.ncbi.nlm.nih.gov/biosample/6199516 http://www.ncbi.nlm.nih.gov/biosample/6199517 http://www.ncbi.nlm.nih.gov/biosample/6199518
DOI: 10.17632/42j3hpjcfb.1
title: Guideline to introduce the simple past tense

description: This guideline explains how to teach the affirmative, negative and interrogative structures of the simple past tense.
DOI: 10.17632/f56xfytph4.2
title: Trends in the Bitcoin research

description: All 2000 publications on the topic of the Bitcoin  on Scopus!
DOI: 10.17632/jkjw83rtmh.1
title: Data for Button (2019) Do tax incentives affect business location and economic development? Evidence from state film incentives

description: Data for Button, Patrick. 2019. "Do tax incentives affect business location and economic development? Evidence from state film incentives." Regional Science and Urban Economics, 77, 315–339. https://doi.org/10.1016/j.regsciurbeco.2019.06.002 This includes code and the data that I can share publicly. I can share everything except the individual-level IMDb and Studio System data. The IMDb data should be publicly available but to access it you have to agree to specific terms.
DOI: 10.17632/rggyy48rg6.1
title: Spatiotemporal analysis of vascular and T cell during ESCC progression

description: Quantitative in situ 3D analysis data of esophageal mucosal vessels and CD3+ T cells across five stages during ESCC development in a 4NQO-induced mouse model using Imaris (v.10.0.0)
DOI: 10.17632/t837ry5yx8.1
title: How new-age startups are dependent on external funding, which may lead to worsening of economic cult

description: 

In recent years, the world has seen an explosion of new-age startups, driven by innovative ideas and a relentless pursuit of disruption. However, a common thread that ties many of these startups together is their dependence on external funding to sustain their operations and fuel their growth. While this dependence on external funding may seem like a necessary evil in the early stages of a startup's journey, it can also lead to the worsening of economic cult.

One of the main reasons why startups rely on external funding is the high cost of innovation. Developing new technologies and products is a costly and time-consuming process, and most startups simply do not have the financial resources to cover these costs on their own. This is where venture capitalists and other investors come in, providing the necessary capital to fuel the startup's growth.

However, this dependence on external funding can have several negative consequences. For one, it can lead to a situation where startups are more focused on impressing investors and securing funding than on developing a sustainable business model. In some cases, startups may prioritize growth over profitability, leading to unsustainable practices that ultimately harm the economy.

Another potential downside of external funding is the risk of a funding bubble. When too much money is flowing into the startup ecosystem, it can create a situation where valuations become inflated and investors are willing to overlook red flags in order to get in on the ground floor. This can lead to a situation where startups are overvalued and ultimately fail to deliver on their promises, leaving investors holding the bag.

Finally, external funding can also lead to a concentration of wealth and power in the hands of a few investors and entrepreneurs. This can lead to a situation where a small number of companies dominate entire industries, making it difficult for new startups to enter the market and compete on a level playing field. This concentration of wealth can also exacerbate income inequality and other economic problems, further worsening the economic cult.

In conclusion, while external funding is a necessary part of the startup ecosystem, it is important to recognize the potential downsides and work to mitigate these risks. Startups should focus on developing sustainable business models that prioritize profitability over growth, and investors should be wary of inflated valuations and potential funding bubbles. By working together, we can create a startup ecosystem that is both innovative and economically sustainable.
DOI: 10.17632/6c97dkmy2d.3
title: Eyelash involvement in frontal fibrosing alopecia: a prospective study

description: Supplementary files for JAAD manuscript number JAAD-D-21-00664R1 (Eyelash involvement in frontal fibrosing alopecia: a prospective study). Background: Frontal fibrosing alopecia (FFA) can affect any hair on the body. There is limited data regarding eyelash involvement and their clinical-trichoscopic characteristics in FFA haven’t been described to date. Objective: To evaluate clinical and trichoscopic involvement of the eyelashes in FFA patients. Materials and Methods: We conducted an analytical prospective cross-sectional study that included 50 patients with FFA. Standardized clinical photos were taken and trichoscopy of the upper and lower eyelashes was performed with a Fotofinder videodermatoscope. Results: Clinically perceptible involvement was observed in 34% of the patients and trichoscopic signs in 64%. Dystrophic hairs (75%), visualization of hair bulbs (50%), black dots (50%) and ingrown hairs (46,9%) were the most frequent trichoscopic findings. Limitations: The small sample size and absence of a control group. Conclusion: Trichoscopy of the eyelashes showed findings reported in scarring and non-scarring alopecias. Dystrophic hairs were the most frequent trichoscopic finding, followed by visualization of hair bulbs, black dots and ingrown hairs. Clinical involvement was perceptible in only half of the patients with trichoscopic findings. Thus this method could be useful for early detection of eyelash involvement.
DOI: 10.17632/73n6krsm4p.2
title: Replication Package for Unvertainty about What's in the Price

description: This is the replication package for the paper "Uncertainty about What's in the Price", to be published in the Journal of Financial Economics.

The data we provide is a subsample of our data files with scrambled company IDs and other identifying information removed. The subsample consists of data for 100 firms selected by, in that order, S&P inclusion/deletion events and data coverage.

The main analysis is run in Stata/MP 15.1 using the +replication do-file. For more information about data source files and data processing, see the Readme file and the +replication do-file.

The following list links the tables in our paper with code lines and output files produced by our main code file “+replication.do”.

Table # Program Line Number Output file
Table 1 Panel (a) +replication.do 400-403 table1.rtf
Table 1 Panel (b) +replication.do 404-407 table1.rtf
Table 2 +replication.do 417-427 table2.rtf
Table 3 +replication.do 457-466 table3.rtf
Table 4 Panel (a) +replication.do 506-516 table4.rtf
Table 4 Panel (b) +replication.do 519-529 table4.rtf
Table 4 Panel (c) +replication.do 532-542 table4.rtf
Table 4 Panel (d) +replication.do 545-555 table4.rtf
Table 5 Panel (a) +replication.do 688-695 table5.rtf
Table 5 Panel (b) +replication.do 697-704 table5.rtf
Table 6 Panel (a) +replication.do 883-893 table6a.rtf
Table 6 Panel (b) +replication.do 1079-1089 table6b.rtf
Table 6 Panel (c) +replication.do 564-574 table6c.rtf
DOI: 10.17632/t576ydh9v8.4
title: Cracks and Potholes in Road Images

description: This database contains images of defects in paved roads in Brazil. The database was developed using images provided by DNIT (National Department of Transport Infrastructure), through the Access to Information Law - Protocol 50650.003556 / 2017-28. The database contains: * 2235 images from highways in the states of Espirito Santo, Rio Grande do Sul and the Federal District, caught between 2014 and 2017; and * Each image has 3 masks - binary images in png format - separated for each type of annotation: road, crack and pothole. The annotation of the road consisted of demarcating the total region corresponding to the vehicle's road. The annotation of cracks and potholes consisted of the selection of the defect as a whole, maintaining its shape as much as possible.
DOI: 10.17632/43fjx5m99p.1
title: Survey Data from an Experimental Study in Supporting Parental Engagement among Chinese Low-income Families in their Children’s English Learning Through Home-literacy Activities

description: The raw dataset was generated from the online survey assessing low-SES parents’ perceived engagement in their children’s English learning before and after the intervention. The survey was administered among 172 parents in both treatment and control conditions, 86 in each condition. The dataset began with a random id (column A) and condition (treatment/control, column B), followed by four major groups of variables: (a) demographic information (columns C-G) including parents’ age, years of English learning, highest educational degree, English certificate, and status of children’s after school English tutoring; (b) 10-item parental engagement pre-score (columns H-Q), (c) 10-item parental engagement post-score (columns R-aa), and (d) open-ended question on perceived impact of the intervention on children’s English learning (column AB-AG). This is for treatment only with 86 responses. Parents’ responses to the open-ended question were in Mandarin Chinese.
DOI: 10.17632/w5jg84txj8.1
title: Mangifera2012: An Image Dataset of Various Bangladeshi Mangoes

description: A comprehensive image dataset of various types of reknown mangoes in Bangladesh. This dataset contains a total of 2012 HD image data in JPEG format. The image resolution is 3024x4032 pixel. The mango variety is collected from different marketplace of Dhaka during Mango season usually from May to August. 
There are 10 types of mangoes in this dataset which contains un-uniforme numbers of image data:
1. Amrapali (252 images)
2. Bari-4 (235 images)
3. Bari-7 (176 images)
4. Fazlee (156 images)
5. Harivanga (202 images)
6. Kanchon Langra (210 images)
7. Katimon (163 images)
8. Langra (202 images)
9. Mollika (221 images)
10. Nilambori (195 images)
Each of the variety images are unique and captured from various angle so that the manoges' size, shape and texture can be recognize shaprly during image processing. Also, the Dataset is in ZIP format where it contains root folder "Mango_Dataset_2012" which contains 10 sub folders for each variety of mango.
Moreover, this dataset is a state-of-the-art mango variety dataset and one of the largest mango variety dataset.
DOI: 10.17632/2y9vjt3kyw.1
title: dipole moment fluctuation (angle, magnitude, and RMSF) data of CRBP-atREA complexes (wild-type, Q108R)

description: 1. input files (GROMACS dipole moment dataset)
'dipoles_pbc_nojump_0_50_dt10_rxx.xvg' 

2. MATLAB source code
'dipole_fluc.m'

3. Output files
'mean_angfluc.txt' and 'std_angfluc.txt' : angle fluctuations between residues and ligand dipoles
'mean_magfluc.txt' and 'std_magfluc.txt' : magnitude fluctuations of dipole moment of residues
'dRMSF_res.txt' : dipole moment RMSF of the protein
DOI: 10.17632/7b4xkpx43b.1
title: OPENFOAM-2.4.0-MNF-1.0.1

description: This dataset contains the package OPENFOAM-2.4.0-MNF-1.0.1, which is referenced in the following CPC Feature Articles: dsmcFoam+: An OpenFOAM based direct simulation Monte Carlo solver - https://doi.org/10.1016/j.cpc.2017.09.030 mdFoam+ : Advanced molecular dynamics in OpenFOAM - https://doi.org/10.1016/j.cpc.2017.09.029
DOI: 10.17632/6wmzcskt6k.1
title: Onco-fetal reprogramming of endothelial cells drives immunosuppressive macrophages in Hepatocellular Carcinoma (Sharma et al)
DOI: 10.17632/82vzccxb6y.2
title: Photovoltaic System Thermal Images

description: This article presents a dataset for thermal characterization of photovoltaic systems to identify snail trails and hot spot failures. This dataset has 277 thermographic aerial images that were acquired by a Zenmuse XT IR camera (7-13 μm wavelength) from a DJI Matrice 100 drone (quadcopter). Additionally, our dataset includes the next environmental measurements: temperature, wind speed, and irradiance. The experimental set up consisted in a photovoltaic array of 4 serial monocrystalline Si panels (string) and an electronic equipment emulating a real load. The conditions for images acquisition were stablished in a flight protocol in which we defined altitude, attitude, and weather conditions.