cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/s96szk84zb.2
title: Data for: Location of Artinite (Mg2CO3(OH)2·3H2O) within the MgO-CO2-H2O System using Ab initio Thermodynamics

description: This repository hosts data supporting the findings in the open-access paper: "Location of Artinite (Mg2CO3(OH)2·3H2O) within the MgO-CO2-H2O System using Ab initio Thermodynamics" from Joshua S. Tse, James Grant, Jonathan M. Skelton, Lisa J. Gillie, Runliang Zhu, Giovanni L. Pesce, Richard J. Ball, Stephen C. Parker, and Marco Molinari, Published in Physical Chemistry Chemical Physics 2023, 25, 18011-18022, DOI:10.1039/D3CP00518F  (https://pubs.rsc.org/en/content/articlehtml/2023/cp/d3cp00518f)
DOI: 10.17632/4yzpcmc63m.2
title: Combination treatment to improve the palmar restrictive scar contracture: A retrospective case series

description: Supplemental Materials for "Combination treatment to improve the palmar restrictive scar contracture: A retrospective case series". The observer-rated Vancouver Scar Scale scores before and after the therapy were showed in the Table 1. The Patient Scar Assessment Scale scores before and after the therapy were showed in the Table 2.  The Observer Scar Assessment Scale scores before and after the therapy were showed in the Table 3.
DOI: 10.17632/4yzpcmc63m.1
title: Combination treatment to improve the palmar restrictive scar contracture: A retrospective case series

description: Supplemental Materials for "Combination treatment to improve the palmar restrictive scar contracture: A retrospective case series". The observer-rated Vancouver Scar Scale scores before and after the therapy were showed in the Table 1. The Patient Scar Assessment Scale scores before and after the therapy were showed in the Table 2.  The Observer Scar Assessment Scale scores before and after the therapy were showed in the Table 3.
DOI: 10.17632/4yzpcmc63m.3
title: Combination treatment to improve the palmar restrictive scar contracture: A retrospective case series

description: Supplemental Materials for "Combination treatment to improve the palmar restrictive scar contracture: A retrospective case series". The observer-rated Vancouver Scar Scale scores before and after the therapy were showed in the Table 1. The Patient Scar Assessment Scale scores before and after the therapy were showed in the Table 2.  The Observer Scar Assessment Scale scores before and after the therapy were showed in the Table 3.  A customized progressive casting wore by a patient was showed in the Figure 1.  The maximum extension angles of the restrictive palmar joint in 9 patients before and after treatment was showed in the Figure 2.
DOI: 10.17632/5jmzgd2ckm.1
title: Purchase intention of plant-based food in the post-COVID-19 pandemic in Bangkok, Thailand

description: Dataset, scripts for running statistics in R, questionaire, etc.
DOI: 10.17632/2t72fsd8fj.1
title: ASCERTAINING THE LEGAL FRAMEWORK ON ORGAN DONATION IN KENYA.

description: The medical transplantation of human body organs remains the only worthwhile therapy for patients who are antagonized with the veracity of passing away due to the failure of their vivacious body organs such as the heart, lungs, kidneys, pancreas, and liver. Organ donation and transplant has indeed rapidly evolved areas in medical science bettering survival and quality of life. However, the expectation of improving and lengthening lives on earth has been devastated by the constant scarcity and scantiness of suitable organ donors. 
The scarcity of human organs is an issue of great concern in public health, both locally and internationally and the current viewpoint is unwelcoming. In Kenya Organ shortage, poor legislations and policies as well as financial and capacity issues have presented a major challenge in the field of organ donation prompting the need for adequate legal and ethical framework. Indeed for organ donation to take root, and flourish, it is important that we have a clear legal and ethical framework to govern it.
This study seeks to critically evaluate the social and philosophical arguments on organ donation highlighting the legal framework therein. In a quest to explore the place of organ donation, this study will rely heavily on desktop searches backed by a consultation of both primary and secondary sources of the information related to the study. 
The study was based on the theory of prototype willingness model and the world system theory. From the study, it is established that Kenya lacks an elaborate regulatory mechanism on matters organ donation. A lack of awareness or educational, religious, and cultural backgrounds and myths regarding organ donation, equally, have negatively impacted organ donation in Kenya. This study recommends further research into organ donation, and the development of a social work model to increase the awareness rate of organ donation. It calls for the re-evaluation of legislation that regulates organ donation in Kenya.
DOI: 10.17632/3vsz7v53pn.1
title: Waveplot-based Dataset for Multi-class Human Action Analysis

description: This dataset comprises an assortment of waveplot images representing diverse human actions. Waveplot images are time-amplitude representations of audio signals that encapsulate the variation of audio amplitude over time. In this dataset, the audio signals correspond to disparate human actions, such as walking, running, jumping, and dancing. The waveplot images are created by plotting the amplitude of the audio signals against time, with each image representing a segment of the audio signal.

The dataset is explicitly designed for tasks like human action recognition, classification, segmentation, and detection based on auditory cues. It serves as a valuable resource for training and evaluating machine learning models that analyze human actions predicated on audio signals. The dataset caters well to researchers and practitioners in the disciplines of signal processing, computer vision, and machine learning, who are keen on devising algorithms for human action analysis using audio signals.

Crucially, the dataset is annotated with labels that denote the type of human action represented in each waveplot image. This ensures a supervised learning environment conducive for the development and testing of prediction models.
DOI: 10.17632/wwfn37sprt.1
title: Popular Science TV Programs During Times of Military Actions

description: Out of the 32 channels, only 5 transmit popular science programs. Among them, 4 channels produce their own content (Ми-Україна, Enter фільм, Піксель TV, 5 канал), while one, Мега, broadcasts mainly foreign-produced programs with a focus on natural sciences. Among the 4 channels with their own popular science content, 3 broadcasting programs of historical nature, and Піксель TV produces a project for children about chemical experiments.
DOI: 10.15785/sbgrid/921
title: X-Ray Diffraction data from Affibody complex LL1.c2, source of 8DA4 structure

description: native dataset
DOI: 10.17632/6fjsdnvygb.1
title: Peptide Libraries from Cephalopods' Posterior Salivary Glands for Potential Antimicrobial Peptides.

description: Filtered peptide libraries consisting of 11-40 amino acids (AA) were generated, comprising conventional AAs, and with intended use as a source of antimicrobial peptides (AMPs). These peptide libraries were constructed through various digestion protocols, including single enzyme applications (Trypsin, Chymotrypsin, Proteinase-K, AspN, and GluC), sequential mode with two enzymes (Tryp-Chym, Tryp-ProtK, Tryp-AspN, and Tryp-GluC), and concurrent mode with two enzymes (Tryp-Chym, Tryp-ProtK, Tryp-AspN, and Tryp-GluC). The peptide libraries were derived from the Composite Protein Database originating from Cephalopods' Posterior Salivary Glands.
DOI: 10.21227/adzq-2y15
title: Continuous glucose measurement for inpatient with type 2 diabetes

description: This dataset includes data from 43 hospitalized patients with type 2 diabetes mellitus. Dexcom G5 and Dexcom G6 mobile continuous glucose measurement (CGM) devices were used to measure continuous blood glucose levels. The data collection period is from April 2019 to January 2022. We selected 43 patients whose records with a more extended recording period of more than seven days. Data was collected for 7 to 10 days at 5-minute intervals. This data can be used for glucose level prediction or hypoglycemia occurrence prediction for patient with type 2 diabetes mellitus. The most common type of diabetes in adults is type 2 diabetes mellitus (T2DM), which occurs when the body becomes resistant to insulin or fails to produce sufficient insulin.
DOI: 10.17632/dyx5cgxdrf.1
title: Prakriti constitutions of North Indian and Western Indian (Vadu) cohorts

description: The dataset describes anonymized data about Prakriti constitutions of North Indian and Western Indian (Vadu) cohorts. The Northern India set consists in 86 records described by 105 conditional attributes (features) and the decision one attribute. The Western India set consists in 131 records described by 133 conditional attributes (features) and the decision one attribute.
DOI: 10.17632/rmzn5s34fd.1
title: data for: digital transformation promote corporate environmental responsibility

description: Digitalization enables enterprises to achieve green development. However, its micro level internal driving mechanism has not yet been clarified. Based on the situational perspective of internal and external mechanism tests, this study analyzes the unbalanced panel data of companies listed on the Shanghai and Shenzhen Stock exchanges from 2013 to 2021, studying in-depth the internal mechanism of the relationship between digital transformation and corporate environmental responsibility. The results show that digital transformation has a significant and enabling effect on corporate environmental responsibility, substantially improving its performance. It also has a positive effect on environmental awareness, terminal pollution control, and some front-end root causes of corporate environmental responsibility. Additionally, economic policy uncertainty negatively moderates the positive relationship between digital transformation and corporate environmental responsibility, that is, the former’s promotional effects on the latter are stronger when economic policy uncertainty is low. Digital transformation also promotes corporate environmental responsibility by improving the internal mechanism of corporate internal control information transparency and financial constraints, as well as, increasing the external mechanism of media attention. Furthermore, its effectiveness in promoting corporate environmental responsibility is more evident in non-state-owned, key polluting, and high industrial competition facing enterprises. The findings enrich the internal mechanism of digitalization, promoting green development; expand and enrich the context and theoretical connotations of digitalization and corporate environmental responsibility; and provide inspiration and reference for enterprises to establish and improve modern enterprise systems, realizing sustainable digitalization and green development.
DOI: 10.17632/2vkdbfjptn.1
title: Data for: The effects of magmatic evolution, crystallinity, and microtexture on the visible/near-infrared and thermal-infrared spectra of volcanic rocks

description: XRD patterns and visible/near infrared and thermal infrared spectra for volcanic rocks from the Three Sisters Volcanic Complex, OR. Includes XRD patterns as .xrdml files and visible/near infrared and thermal infrared spectra in Microsoft Excel format. Other data can be found in the article's supplemental data.
DOI: 10.17632/2vkdbfjptn.2
title: Data for: The effects of magmatic evolution, crystallinity, and microtexture on the visible/near-infrared and thermal-infrared spectra of volcanic rocks

description: XRD patterns and visible/near infrared and thermal infrared spectra for volcanic rocks from the Three Sisters Volcanic Complex, OR. Includes XRD patterns as .xrdml files and visible/near infrared and thermal infrared spectra in Microsoft Excel format.
Sample information, TIR and VNIR derived data, XRF and EMPA data, and thin section photomicrographs from the article's supplementary data are also provided.
DOI: 10.57830/2299759
title: Pacific Island Network Streams Monitoring Dataset 2009-2022

description: Throughout the world, freshwater ecosystems are considered to be among the most vulnerable systems. In the isolated Pacific islands there are a relatively small number of native freshwater species, which are mainly endemic to these locations. Throughout the region, native flora and fauna face significant threats from species introductions and habitat destruction. The National Parks in the Pacific Island Network (PACN) protect some of the last relatively pristine stream systems. The Pacific Islands Stream Monitoring Protocol monitors long term changes in stream communities for four of the Pacific Island parks.  This dataset contains results from 2009 through 2021 stream animal surveys in HALE, KALA, NPSA, and WAPA and will provide park managers with information necessary to understand status and trends in biotic integrity within park stream systems. This project is ongoing and will be updated annually.
DOI: 10.17632/5nc43tsxg3.1
title: Supplemental Data - Novel Mechanisms of Diversity Generation in Acinetobacter baumannii Pathogenicity Islands Driven by Tn7-like Elements

description: This is a collection of the supplemental materials for "Novel Mechanisms of Diversity Generation in Acinetobacter baumannii Pathogenicity Islands Driven by Tn7-like Elements". Including custom python code used for insertion analysis and the plasmid and primer sequences used in the study.
DOI: 10.17632/5nc43tsxg3.2
title: Supplemental Data - Novel Mechanisms of Diversity Generation in Acinetobacter baumannii Pathogenicity Islands Driven by Tn7-like Elements

description: This is a collection of the supplemental materials for "Novel Mechanisms of Diversity Generation in Acinetobacter baumannii Pathogenicity Islands Driven by Tn7-like Elements". Including custom python code used for insertion analysis and the plasmid and primer sequences used in the study.
DOI: 10.15785/sbgrid/925
title: X-Ray Diffraction data from affibody complex LL2.c1, source of 8DA8 structure

description: native dataset
DOI: 10.17632/6p9c96hy2f.1
title: Hourly Global Irradiation from Meteorological Data

description: The hourly irradiance I(h) is obtained for each location (Amsterdam, Naples, and Doha) from the PV Geographical Information System (PVGIS) database using the PVGIS-SARAH2 dataset and averaging the irradiation in the years 2005-2020. It represents the global irradiance impinging on a surface whose Azimuth and Slope angles have been optimized by PVGIS.
DOI: 10.17632/3c2d2hhg6b.1
title: Hidradenitis Suppurativa Phenotypic Heterogeneity: A Single Center Latent Class Analysis of 532 patients

description: Hidradenitis suppurativa (HS) is a heterogenous chronic inflammatory skin disease that lacks consensus regarding phenotypic classification. A stratification system of HS phenotypes may help individualize treatment and ensure accurate and timely diagnosis. This study aims to identify HS phenotypes using latent class analysis (LCA) to contribute to understanding of the disease. A total of 532 patients with HS were included from the outpatient dermatology clinics of Michigan Medicine in Ann Arbor, Michigan, USA. Two distinct HS phenotypes were identified. Latent class 1 (Axillary-Genital-Mammary) comprised 29.1% of patients and showed higher probabilities for severe axillary, genital, and mammary involvement. Latent class 2 (Axillary-Genital-Gluteal) included 70.9% of patients and had higher probabilities for mild axillary, genital, and gluteal involvement. Axillary-Genital-Mammary had an earlier age of onset, shorter disease duration, and a higher proportion of former smokers. This study identified two distinct HS phenotypes: a severe Axillary-Genital-Mammary and milder Axillary-Genital-Gluteal phenotype. Tailoring treatments based on phenotype-specific characteristics may improve outcomes. The study contributes to the growing understanding of HS phenotypes in the US population, offering insights for more individualized disease management.
DOI: 10.17632/f5t2hfsb6g.1
title: Organic food research

description: the dataset contain responses of 308 Indian respondents (consumers of organic food) on Attitude (AT), Perceived quality (PQ), perceived price (PP), perceived value (PV) and Purchase intention(PI). The Likert scale (5point) was used to get the reflection of respondents wherein 1 = strongly disagree to 5 = strongly agree on selected scales (see the study for scale selection). Serial Mediation was used in this study, PP, PQ and PV are mediating variables, PI is outcome variable and AT is independent variable.
DOI: 10.15785/sbgrid/859
title: X-Ray Diffraction data from Ras1 guanine-nucleotide exchange factor, Cdc25, source of 7NZZ structure

description: X-Ray Diffraction data from Candida albicans Ras1 guanine-nucleotide exchange factor, source of 7NZZ structure
DOI: 10.17632/5pwrmsy3ty.1
title: Role of Medium-Term Budget Framework (MTBF) in accomplishing Public Financial Management (PFM) Goals

description: MTBFs generally cover the preparation, execution, and monitoring of multiannual budget plans and encompass expenditure and revenue predictions. Overall, a well-designed MTBF reflects the impact of past budgetary obligations and the future cost of new policy measures. It is explained by the Ministry of Finance, jointly with other responsible public authorities, in accordance with this law's budgetary-fiscal principles and rules.
DOI: 10.17632/6w3w27rfkr.1
title: Dataset for Continued Digital Payment Adoption Behavior in Taiwan

description: This dataset shows the existence of an institutional behavior mechanism in the continued adoption of digital payment in Taiwan. The data was gathered in September 2022 through an online survey using the Line Platform. Moreover, this dataset is associated with a manuscript entitled "Institutional Behavior Mechanism: Exploring the Impacts of Macro-environmental Stimuli on Continued Digital Payment Adoption Behavior", which is currently under consideration to be published in Computers in Human Behaviors.
DOI: 10.17632/5hbv6s26fd.1
title: Supplementary Data for “The Association of Psoriasis with Rheumatic Diseases: A National Cross-Sectional Study”

description: Supplementary tables from the article “The Association of Psoriasis with Rheumatic Diseases: A National Cross-Sectional Study,” published in the Journal of the American Academy of Dermatology
DOI: 10.17632/fwn8rdfctk.1
title: Compensatory kinematic movements in various directions after chronic stroke

description: Kinematic data of reaching task
DOI: 10.17632/fwn8rdfctk.2
title: Compensatory kinematic movements in various directions after chronic stroke

description: Histogram of kinematic data of reaching task
DOI: 10.17632/zhz8kjsykf.1
title: Test results - Article "Motion perception and glaucoma"

description: The file encloses the data recorded during the test execution (end-point motion perception, glaucoma vs healthy participants).  The numerical values represent the localization error, oriented in the direction of motion, as described in the article : "Motion perception and glaucoma: internal model of biological motion can compensate for visual impairment" (Carlini, Francoz, Pozzo).  The table on the left illustrates the meaning of the parameters indicating the different experimental conditions.
DOI: 10.17632/fd83m2yj7j.1
title: Zika record data, Brazil, 2016-2021

description: This dataset provides sociodemographic information about confirmed Zika patients. The data was collected from the Health Problem and Notification Information System (SINAN), which is the Portuguese Sistema de Informação de Agravo de Notificação, and covers the period from 2016 to 2021 in Brazil. The dataset consists of 167,291 records and 26 attributes. It includes several files, including "dataset.csv" which contains the pre-processed dataset, "attributes.csv" which provides information about each attribute in the dataset, and "zikan-sinan-db.csv" which contains the original dataset.
DOI: 10.17632/fd83m2yj7j.2
title: Socio-demographic data of Zika records, Brazil, 2016-2021

description: This dataset provides sociodemographic information about confirmed Zika patients. The data was collected from the Health Problem and Notification Information System (SINAN), which is the Portuguese Sistema de Informação de Agravo de Notificação, and covers the period from 2016 to 2021 in Brazil. The dataset consists of 167,291 records and 26 attributes. It includes several files, including "dataset.csv" which contains the pre-processed dataset, "attributes.csv" which provides information about each attribute in the dataset, and "zikan-sinan-db.csv" which contains the original dataset.
DOI: 10.15785/sbgrid/929
title: X-Ray Diffraction data from Affibody complex LL2.c22, source of 8DAC structure

description: native dataset
DOI: 10.17632/kgwsthf2w6.3
title: Pomegranate Images Dataset

description: The dataset consists of images capturing various growth stages of pomegranates. The images were collected from May to September in an orchard located within the Henan Institute of Science and Technology in China. There are a total of 5857 images in the dataset, and each image is labeled and classified into one of five periods: bud, flower, early-fruit, mid-growth, and ripe.
The dataset was curated and hosted by the School of Computer Science and Technology at Henan University of Science and Technology, in collaboration with researchers from the Artificial Light Plant Factory at the same university. The purpose of creating this dataset is to support the development of computer applications that utilize machine learning and computer vision algorithms. By studying the different growth stages of pomegranates, researchers can effectively monitor the condition of each growth stage and enable early detection of any abnormal growth conditions. This early detection can be beneficial for farmers, as it can help them minimize economic losses.
DOI: 10.17632/kgwsthf2w6.4
title: Pomegranate Images Dataset

description: The dataset consists of images capturing various growth stages of pomegranates. The images were collected from May to September in an orchard located within the Henan Institute of Science and Technology in China. There are a total of 5857 images in the dataset, and each image is labeled and classified into one of five periods: bud, flower, early-fruit, mid-growth, and ripe.
The dataset was curated and hosted by the School of Computer Science and Technology at Henan University of Science and Technology, in collaboration with researchers from the Artificial Light Plant Factory at the same university. The purpose of creating this dataset is to support the development of computer applications that utilize machine learning and computer vision algorithms. By studying the different growth stages of pomegranates, researchers can effectively monitor the condition of each growth stage and enable early detection of any abnormal growth conditions. This early detection can be beneficial for farmers, as it can help them minimize economic losses.