cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/f5y5f5x428.1
title: Use of cryoanesthesia and a punch biopsy tool in the drainage of hidradenitis suppurativa abscesses

description: The following therapeutic tip is presented: for anesthesia, cryoanesthesia is used, which provides immediate numbness to a small circumferential area through the application of liquid nitrogen, and this procedure is well tolerated by the patient. Routinely, a punch biopsy tool is used to make an incision that remains open for a few days, allowing the abscess to drain.
DOI: 10.17632/gx66wsgwkr.1
title: Robust portfolio selection with smart return prediction

description: We propose a robust portfolio framework that optimizes parameters in return prediction by maximizing robust mean-variance utility. The proposed framework effectively combines return prediction and portfolio decisions while mitigating the uncertainty in return prediction.

The data includes monthly firm-level returns and firm-level characteristics from January 1976 to December 2021.
DOI: 10.17632/2ddbwns4gb.1
title: Effects of Aedes aegypti's larval density on adult body mass at emergence

description: Data was collected on the Rockefeller strain (MR-734, MR4, ATCC®, Manassas, VA, USA) of Aedes aegypti mosquitoes. Two experiments were conducted. The first one involved tracking development through each aquatic stage under low and high-density conditions. The other experiment involved tracking total development time (from egg hatch until emergence and not by individual aquatic stages) and mass upon emergence under low and high-density conditions. We will refer to these datasets as the mass data and the former as the stage data. 

Larvae were reared in densities of 26 and 78 per 300 ml of nutrient medium to simulate ‘low’ and ‘high’ intraspecific competition. Larval densities are manipulated to vary per capita nutrition available in the two treatments, and these values are comparable with larval densities in natural habitats. 

The stock larval nutrient medium was prepared at 3.3 mg/mL using standard fish food (Hikari Tropic First Bites, Petco, San Diego, CA, USA), incubated at 26ᵒC for 24 hours, and used to prepare 12.5% stock dilution. Eggs were synchronously hatched in DI water using a vacuum chamber and transferred to 300 ml of nutrient medium stock dilutions. Freshly hatched mosquito larvae in 12.5% dilution of the nutrient broth were housed in an incubator at 26ᵒC and 80% relative humidity with a 14:10 h day-night cycle. Mosquito larvae were monitored every 6 hours until pupation. Upon pupation, they were transferred to individually labeled vials containing water and monitored until emergence using a locomotor activity monitor (Trikinetics, LAM25). The LAM25 software recorded the activity just above the water surface at repeated 60 s intervals to detect and record emerging mosquitoes. 

For the experiment tracking larval development, we recorded larval development time and proportion surviving through every stage of metamorphosis (four larval instars, pupa, and adult) until emergence. Upon emergence, adult mosquitoes were sexed. This experiment included five replicates per low- and high-density treatment. For the other experiment tracking body mass, data on only adult female mosquitoes were considered. Females were weighed upon emergence, and their total development time was recorded. This experiment included 13 and 8 replicates for the low- and high-density treatments, respectively.  

In addition to the above data, two replicates in the low-density treatment were included to quantify mosquito survival. These two replicates do not include data on development time, and only numbers of male and female mosquitoes at emergence were quantified. Therefore, the dataset on mosquito survival consisted of 20 replicates and 13 replicates in the low- and high-density treatments, respectively.
DOI: 10.17632/gkn6f863t9.1
title: Coordinated circRNA biogenesis and function with NF90/NF110 in viral infection

description: Detailed description of this data can be accessed in Xiang et al. Coordinated circRNA biogenesis and function with NF90/NF110 in viral infection
DOI: 10.17632/rv3kxfv47y.1
title: Tomato Leaf Dataset

description: This data set has tomato diseased leaf images gathered across different farms located in Maharashtra. Images are acquired using different mobile camera models in order to introduce variability and classified by a team of Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth,Dapoli,India. Images are captured by keeping paper in background to avoid background effects. This entire data set can be used to design system that can be used to automatic diseased detection.
DOI: 10.17632/4vkdjfc4v2.1
title: Sentiment Analysis ChatGPT YouTube Comments Dataset

description: The dataset YouTube Comments about ChatGPT in Indonesian, obtained by web scraping technique on the video page "ChatGPT dan Masa Depan Pekerjaan Kita". contains 1249 data consisting of Comment attributes.
DOI: 10.17632/fyr4xhh76j.1
title: Urban waterlogging susceptibility assessment based on hybrid ensemble machine learning models: A case study in the metropolitan area in Beijing, China 

description: These are source data used to conduct experiement presented in Urban waterlogging susceptibility assessment based on hybrid ensemble machine learning models: A case study in the metropolitan area in Beijing, China
DOI: 10.17632/5g6s4g8yjn.1
title: Axial response of steel tubes infilled with rubberised alkali-activated concrete

description: This dataset consists of data related to the experimental and numerical investigation of the axial response of steel tubes infilled with rubberised alkali-activated concrete. The data cover results from 36 physical tests and 315 finite element models.

The results and discussions associated with the dataset have been published as an open access article in Journal of Constructional Steel Research and can be accessed via this link: https://doi.org/10.1016/j.jcsr.2023.108276
DOI: 10.17632/9m3vtnbyrs.1
title: Database of research papers on PLA degradation: 1973-2023

description: Data generated on the list of research articles dealing with Poly Lactic Acid degradation from 1972-2023 assorted through a systematic review approach using the PRISMA framework. All the articles have been annotated with 11 parameters describing the scope and extent of the study.
DOI: 10.17632/9xxm58dvs3.1
title: SICAPv2 - Prostate Whole Slide Images with Gleason Grades Annotations

description: A database containing prostate histology whole slide images with both annotations of global Gleason scores and path-level Gleason grades. Data associated with the paper: Silva-Rodríguez, J., Colomer, A., Sales, M. A., Molina, R., & Naranjo, V. (2020). Going deeper through the Gleason scoring scale : An automatic end-to-end system for histology prostate grading and cribriform pattern detection. Computer Methods and Programs in Biomedicine, 195. https://doi.org/10.1016/j.cmpb.2020.105637
DOI: 10.17632/7wx3chtsxx.2
title: EPICC

description: This collection provides processed data of the paper "The co-evolution of the genome and epigenome in colorectal cancer".
DOI: 10.17632/sg5j65kgdf.2
title: Quran Dataset

description: Quran Dataset is a collection of different format of the Holy book of Quran. The dataset is presented in the original file in word format. also, for database application developer or researcher, the SQL files are available as well. For Semantic web application, the RDF resources are available. From the RDF files small part of the figure are developed in SVG format, which can be extended to all file using different tools to transform RDF to figure files. Another format is available , which is the CSV format , which can be used to view the data in any text editor program such as MS Excel or simple text editors. All format are made available for the help of researcher or developer.
DOI: 10.15468/dl.r27n87
title: Occurrence Download

description: A dataset containing 57697 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus ponderosa Douglas ex C.Lawson"
 ]
}

 The dataset includes 57697 records from 316 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009161-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/24pstwzpdz.1
title: JAAD- Treatment recommendations for nail unit toxicities secondary to targeted cancer therapy based on collective experience and evidence based literature review- Supplementary tables

description: JAAD- Treatment recommendations for nail unit toxicities secondary to targeted cancer therapy based on collective experience and evidence based literature review- Supplementary tables
DOI: 10.17632/gprg4s73v4.1
title: GaHu-Video: Parametrization system for human gait recognition

description: This video dataset comprises (44) recordings of the human gait with (396) edited videos, there is also available a dataset of geometric features with (1431) files acquired from the video dataset that can be used for identifying people by human gait or for analyzing gait on various purposes. Each directory has the following structure: One directory with original videos of 44 people walking. Some parameters are, Video format AVI, stable background, resolution of 1280x700 p. Each video recording registers a person walking from left to right and back three times. One directory (Track A) with 44 edited videos with the first walking pass from left to right and back. A subdirectory (Sx_Track 1_Right) with 44 edited videos with the first walking pass from left to right. A subdirectory (Sx_Track 1_Left) with 44 edited videos with the first walking pass from right to left. This directory comprises 132 videos in total. One directory (Track B) with 44 edited videos with the second walking pass from left to right and back. A subdirectory (Sx_Track 1_Right) with 44 edited videos with the second walking pass from left to right. A subdirectory (Sx_Track 1_Left) with 44 edited videos with the second walking pass from right to left. This directory comprises 132 videos in total. One directory (Track C) with 44 edited videos with the third walking pass from left to right and back. A subdirectory (Sx_Track 1_Right) with 44 edited videos with the third walking pass from left to right. A subdirectory (Sx_Track 1_Left) with 44 edited videos with the third walking pass from right to left. This directory comprises 132 videos in total. One directory V-Geometric features with .dat files acquired from the video dataset with geometric features from the rectangle drawn over the silhouettes during a time. The geometric features were acquired with image processing techniques and are comprised of width, height, and area over time [1,2] nnW subdirectory: 477 .dat files with registered information about the behavior of the rectangle width during the gait record. nnH subdirectory: 477 .dat files with registered information about the behavior of the rectangle height during the gait record. nnA subdirectory: 477 .dat files with registered information about the behavior of the rectangle area during the gait record. References: [1] Senigagliesi, L.; Ciattaglia, G.; De Santis, A.; Gambi, E. People Walking Classification Using Automotive Radar. Electronics 2020, doi:10.3390/electronics9040588 [2] Kececi, Aybuke, Armağan Yildirak, Kaan Ozyazici, Gulsen Ayluctarhan, Onur Agbulut, and Ibrahim Zincir. 2020. Implementation of Machine Learning Algorithms for Gait Recognition. doi:10.1016/j.jestch.2020.01.005 [3] Figueiredo, Joana, Cristina P. Santos, and Juan C. Moreno. 2018. Automatic Recognition of Gait Patterns in Human Motor Disorders using Machine Learning: A Review. Vol. 53. doi: 10.1016/j.medengphy.2017.12.006
DOI: 10.17632/9ktj6nhmbx.1
title: Data for validation and adjustment of APACHE II score in cardiogenic shock patients treated with a percutaneous left ventricular assist device

description: The data set includes raw data of 180 cardiogenic shock patients from Dresden Impella Registry, who received a left ventricular unloading with a micro-axial percutaneous left ventricular assist device (pLVAD). In detail, baseline characteristics, such as, age, weight, height, pre-existing diseases, characteristics of coronary artery disease, characteristics of cardiopulmonary resuscitation, and hemodynamic parameter are provided. Furthermore, hemodynamic and laboratory parameters of clinical course and survival data are given. The data set enables the calculation of most important severity of illness scores. We showed an overestimation of intrahospital mortality predicted by APACHE II score in various subgroups of cardiogenic shock patients treated with a pLVAD. Due to this data set, we adjusted APACHE II score resulting in a more accurate prediction of mortality.
DOI: 10.15468/dl.6y7ktz
title: Occurrence Download

description: A dataset containing 4835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Dominican Republic",
 "TaxonKey is Fringillidae"
 ]
}

 The dataset includes 4835 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009163-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/r3tb5mzn4d.1
title: Eggplant Disease Recognition Dataset

description: 1. Eggplant contains a significant amount of nutritious fiber, which is an essential component in a healthy diet as it helps our digestive process run smoothly. Adequate fiber in our diet can also assist in controlling blood sugar, preventing spikes, and providing resistance to spikes and crashes. 2. Per 100 grams of eggplant, it contains approximately 2.9 grams of fat, 0.8 grams of minerals, 13 grams of carbohydrates, 42 kilocalories of energy, 1.8 grams of protein, 28 milligrams of calcium, 0.9 milligrams of iron, 850 micrograms of carotene, 0.12 milligrams of vitamin B1, 0.08 milligrams of vitamin B2, and 22 grams of sugar, among other nutrients. 3. Eggplant can help reduce the risk of heart diseases and many other cardiovascular problems as it is known to decrease damage caused by free radicals. 4. Eggplant is indeed a highly popular vegetable in Bangladesh, and its cultivation has become economically significant for many farmers. When it comes to cultivating eggplants, it's essential for farmers to be aware of the various challenges, including pest attacks. 5. Protecting eggplants from pests is crucial for a successful harvest. There are various pests that can attack eggplant plants, and farmers need to take measures to safeguard their crops. This may involve using pesticides, implementing integrated pest management techniques, or adopting organic farming methods to minimize the use of chemicals and ensure healthy eggplant yields. 6. Diseases in crops are a widespread problem in agricultural production, and they have an adverse impact on the quality and productivity of the crops. Due to non-biological environmental factors, eggplant diseases adversely affect the yield and quality of eggplants, causing significant economic losses to farmers. The traditional identification of crop diseases is often time-consuming, labor-intensive, ineffective, and subjective. 7. In recent times, computer vision has shown great promise in conducting the classification and identification tasks of this kind. 8. Seven distinct kinds of eggplant diseases are shown in this large dataset, which can be used to develop machine vision-based techniques: Healthy Leaf, Insect Pest Disease, Leaf Spot Disease, Mosaic Virus Disease, Small Leaf Disease, White Mold Disease, and Wilt Disease. 9. In reality, 392 images of eggplants were initially collected from the field. Subsequently, to increase the quantity of data points, various image processing techniques were applied, such as shifting, flipping, zooming, shearing, brightness enhancement, and rotation, resulting in a total of 3136 augmented images derived from the original pictures.
DOI: 10.17632/3pd8ds983n.2
title: Performance evaluation of the  SARS-CoV-2 detection kit: MAScIR SARS-CoV-2 M kit 2.0.

description: The aim of our study is to check the performance of the new 100% Moroccan SARS-CoV-2 detection kit: MAScIR SARS-CoV-2 M 2.0. The following parameters were studied: repeatability, intermediate precision, specificity, sensitivity, contamination test, and comparison with the GeneFinderTM COVID-19 Plus RealAmp kit. In addition, an external quality evaluation comprising five samples was carried out. During our study, we also performed sequencing of some randomly selected positive samples, among which we detected carriers of the Alpha variant, the Delta variant, and the Omicron variant.
DOI: 10.17632/x47bmmshcm.1
title: Handbook of Hormones 2ed: Comparative Endocrinology for Basic and Clinical Research (Supplementary Material)

description: This dataset consists of supplementary sequence data, comparative data, figures and tables for the book Handbook of Hormones 2ed: Comparative Endocrinology for Basic and Clinical Research, edited by Hironori Ando, Kazuyoshi Ukena and Shinji Nagata [9780128206492].

Handbook of Hormones: Comparative Endocrinology for Basic and Clinical Research, Second Edition, presents a catalog of fundamental information on the structure and function of hormones from basic biology to clinical use, offering a rapid way to obtain specific facts about the chemical and molecular characteristics of hormones, their receptors, signaling pathways, and the biological activities they regulate. The book's stellar editorial board, affiliated with the Japan Society for Comparative Endocrinology, brings together authors that present a compelling structure of each hormone with a consistent presentation that provides a primer surrounding the plethora of hormones that now exist. Comparative endocrinology continues to rapidly expand and new information about hormones is being produced almost daily, making it important to stay up-to-date. Hormone, paracrine, and autocrine factors have been identified as key players in a range of different systems, including immune, musculoskeletal and cardiovascular. Frontiers between disciplines are being blurred and many scientists in fields other than endocrinology are interested in hormones. Scientists now have the unprecedented opportunity to look from invertebrates to vertebrate and identify novel regulatory factors and understand their function and how they determine an organism’s physiology and survival.
DOI: 10.17632/svmc6ryhmf.1
title: Dataset of analysis of guidelines on hypertension management aimed at revealing the recommendations that could be applied to first aid settings

description: This dataset contains the analysis results of 19 English-language national and international guidelines on the management of hypertension published between 2014 and 2024.
The guidelines were examined to identify recommendations on hypertension management that could be applied to the settings of the provision of first aid.
A search of the guidelines was carried out in October 2024.
DOI: 10.17632/pszxfnhk2v.1
title: Supplemental Table 2

description: Raw data of GC-MS profile of hydrocarbons degraded by Pseudomonas frederiksbergensis SI8 grown for 14 days at 28ºC in Jet A fuel.
DOI: 10.17632/yrwd336rkz.2
title: Prediction of Heart Attack

description: The dataset consists of 1763 observations, each representing a unique patient, and 12 different attributes associated with heart disease. This dataset is a critical resource for researchers focusing on predictive analytics in cardiovascular diseases.

Variables Overview:
1. Age: A continuous variable indicating the age of the patient.
2. Sex: A categorical variable with two levels ('Male', 'Female'), indicating the gender of the patient.
3. CP (Chest Pain type): A categorical variable describing the type of chest pain experienced by the patient, with categories such as 'Asymptomatic', 'Atypical Angina', 'Typical Angina', and 'Non-Angina'.
4. TRTBPS (Resting Blood Pressure): A continuous variable indicating the resting blood pressure (in mm Hg) on admission to the hospital.
5. Chol (Serum Cholesterol): A continuous variable measuring the serum cholesterol in mg/dl.
6. FBS (Fasting Blood Sugar): A binary variable where 1 represents fasting blood sugar &gt; 120 mg/dl, and 0 otherwise.
7. Rest ECG (Resting Electrocardiographic Results): Categorizes the resting electrocardiographic results of the patient into 'Normal', 'ST Elevation', and other categories.
8. Thalachh (Maximum Heart Rate Achieved): A continuous variable indicating the maximum heart rate achieved by the patient.
9. Exng (Exercise Induced Angina): A binary variable where 1 indicates the presence of exercise-induced angina, and 0 otherwise.
10. Oldpeak (ST Depression Induced by Exercise Relative to Rest): A continuous variable indicating the ST depression induced by exercise relative to rest.
11. Slope (Slope of the Peak Exercise ST Segment): A categorical variable with levels such as 'Flat', 'Up Sloping', representing the slope of the peak exercise ST segment.
14. Target: A binary target variable indicating the presence (1) or absence (0) of heart disease.

Descriptive Statistics:
The patients' age ranges from 29 to 77 years, with a mean age of approximately 54 years. The resting blood pressure spans from 94 to 200 mm Hg, and the average cholesterol level is about 246 mg/dl. The maximum heart rate achieved varies widely among patients, from 71 to 202 beats per minute.

Importance for Research:
This dataset provides a comprehensive view of various factors that could potentially be linked to heart disease, making it an invaluable resource for developing predictive models. By analyzing relationships and patterns within these variables, researchers can identify key predictors of heart disease and enhance the accuracy of diagnostic tools. This could lead to better preventive measures and treatment strategies, ultimately improving patient outcomes in the realm of cardiovascular health
DOI: 10.17632/vhhjx2c78f.1
title: Education and Polygamy: Evidence from Cameroon

description: This is the replication package (data and code) for the paper "Education and Polygamy: Evidence from Cameroon"
DOI: 10.17632/zf9dkck445.1
title: Raw data-Rhinoplasty Pre-Surgery Models by Using Low-Dose Computed Tomography, Magnetic Resonance Imaging, and 3D Printing

description: raw data of the research work