cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5579113.v1
title: Daily Rainfall Data in Hawaii

description: Rainfall measurements from 471 independent climate stations in Hawaii from 1990 to 2014.
DOI: 10.17632/xym9jvfcwn
title: SEC-MALS and WAXS data of irradiated and hydrolysed (under alkaline conditions) cellulosic tissues

description: Supplementary dataset of the SEC MALS and WAXS analyses performed on (non)-irradiated cellulosic tissues degraded under hyperalkaline conditions (pH &gt; 13), simulating fresh cement water. 
Measurements of SEC MALS were performed by Leena Pitkänen and Timo Ylönen (Aalto University, Finland). 
Measurements of WAXS were performed by Samuel Eyley (KULeuven, Belgium). 
Datasets accompanying the following paper:
Bleyen Nele, Van Gompel Veerle, Eyley Samuel, Durce Delphine, Thielemans Wim and Valcke Elie (2025). New insights in long-term alkaline degradation mechanism of cellulosic materials in radioactive waste. Published in Cellulose (2025): https://doi.org/10.1007/s10570-025-06499-7
DOI: 10.17632/mwbd8d7j37
title: Self-treatment of major and minor illnesses to ensure physical and mental comfort 

description: [Abstract] 
The author has been in a suboptimal state of health for an extensive period of time and had experienced difficulties in work and life. The goal was to identify a simple method for implementing self-treatment. The author used a method referred to as ‘inward vision’ to observe, perceive, feel, and record her own physical condition. A set of simple and convenient self-diagnostic methods to determine the location and characteristic of a disease was summarised through consideration of these ‘records of perceived observation’. A series of oral capsules constituting traditional Chinese remedies was developed based on these records and findings from the extant literature. The set of Chinese remedies is extraordinary and unusual, comprising dozens of species of traditional Chinese herbal remedies. There are a considerable number of different combinations of these herbs used for the treatment of numerous diseases and symptoms. It is safe and easy to consume. Over the years, the author has self-treated various symptoms and improved her health. If a large proportion of people are able to self-treat their illnesses, the world would be improved. It would be a step forward in the ability of humans to fight diseases. The diagnostic and therapeutic method described herein is simple, convenient, efficient, and cost-effective. This could be efficacious in solving socio-economic problems such as lack of access to effective medical treatment. It can be used to conduct research on several aspects, including food, plants, animals, and medical equipment. Furthermore, ‘inward vision’ as a method of thinking may be helpful to researchers in other disciplines. 

The author Xiuli Yang is the founder of Yang’s six-position treatment method and the developer of the Zhenshanliyang series Chinese remedies. 

This article is a supplement to another article.

The Chinese version of this article was published in the magazine titled, The China Health Care and Nutrition in January 2013 (pp. 457-458). This magazine is published between the 21st and 30th of each month. The four pictures here are only related to the Chinese version.

The Chinese version of this article, links are below.
DOI: 10.6084/m9.figshare.13089125.v1
title: Data from:Effect of cutting depth during sugarcane (Saccharum spp. hybrid) harvest on root characteristics and yield

description: Sugarcane(Saccharum spp. hybrid) ratooning is an important cultivation practice in sugarcane production around the world, with underground buds on the remaining stalk acting as the source for establishment of a subsequent ratoon crop. However, the optimal depth of cutting during harvest in terms of yield and root growth remains unknown. We carried out a two-year field study to determine the effects of three cutting depths (0, 5 and 10 cm below the surface) ratoon cane root and yield. Results showed that cutting to a depth of 5 cm increased the root fresh weight and root volume by 21-59% and 41-127%, respectively, compared to cutting depths of 0 and 10 cm. Remarkably, cutting to a depth of 5 cm also had a significant effect on the development of fine roots, which is closely linked to cane yield. The effect was particularly noticeable in terms of two root traits, root volume and the surface area of roots with a diameter of 1.0-2.0mm, and root length and the number of root tips in roots with a diameter of 0-0.5mm. As a result, a cutting depth of 5 cm below the surface increased cane yield by 43 and 28% compared to depths of 0 and 10 cm below the surface, respectively. Overall, these findings suggest that a cutting depth of 5 cm is optimal in terms of sugarcane yield, largely due to the enhanced effect on root traits, especially the development of fine roots. These findings will help optimize sugarcane ratoon management and improve the ratoon cycle.
DOI: 10.17632/zyjxgxhgyt
title: Supplemental Materials to the Manuscript "Earthquake Source Impacts on the Generation and Propagation of Seismic Infrasound to the Upper Atmosphere"

description: This collection hosts the data and animations associated with the journal article, Earthquake Source Impacts on the Generation and Propagation of Seismic Infrasound to the Upper Atmosphere. The full-text manuscript is published in Geophysical Journal International.

Authors:
Y. Nozuka, 
Department of Geophysics, Graduate School of Science, Kyoto University
P.A. Inchin, 
Computational Physics, Inc., Springfield, Virginia 22151, USA
Department of Physical Sciences and Center for Space and Atmospheric Research, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA
Y. Kaneko, 
Department of Geophysics, Graduate School of Science, Kyoto University
R. Sabatini, 
Department of Physical Sciences and Center for Space and Atmospheric Research, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA
Ecole Centrale de Lyon, CNRS, Universite Claude Bernard Lyon 1, INSA Lyon, LMFA, UMR5509, 69130, Ecully, France
J.B. Snively
Department of Physical Sciences and Center for Space and Atmospheric Research, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA

The collection includes next datasets:
Dataset 1
Title: MAGIC3D Simulation Results. Vertical Fluid Velocities
Description: The 3D fields of vertical fluid velocities from MAGIC3D simulations and Matlab script for reading and plotting.
Keywords: 

Dataset 2
Title: SPECFEM3D Simulation Results. Fault Plane Fields
Description: The 2D fields of fault plane fields from SPECFEM3D simulations and Matlab scripts for reading and plotting.

Dataset 3
Title: SPECFEM3D Simulation Results. Surface Vertical Velocities
Description: The 2D fields of vertical velocities at the surface from 7 SPECFEM3D simulations and Matlab scripts for reading and plotting.

Dataset 4
Title: MAGIC3D Simulation Results. Animations
Description: The animations of simulated MAGIC3D simulation vertical fluid velocities for Simulation #1-7. The movies supplement Figures 2-4 of the manuscript.
DOI: 10.17632/2rvzyk3rjd
title: Data for measuring digital citizenship competencies among students in Indonesia

description: The data was carried out among senior high school students in Central Java, Indonesia, assessing socio-demographic information, the lenght of internet use, budget of internet usage, digital devices, internet skills, internet attitudes, computer self-efficacy, and digital citizenship. 518 respondents from 6 schools through online survei via Google Form.
DOI: 10.17632/c88n8cvfwg
title: Biotecnologia CAPES/WoS - 2017 a 2022

description: Conjunto de dados levantados como parte da pesquisa de Iniciação Científica intitulada: "APLICAÇÕES E AVANÇOS DA BIOTECNOLOGIA: uma revisão bibliográfica".
DOI: 10.17632/hf88vz3cwj
title: Meta-Analysis dataset

description: Over the years, researchers from around the world have evaluated the Willingness to Pay ‎‎(WTP) for the reduction of beach litter using non-market valuation approaches. This research ‎study summarises the economic value of beach clean-ups and the underlying causes of WTP ‎variation observed in various primary studies. Using a meta-regression analysis, this study ‎estimates the global effect size of WTP and evaluates the causes of WTP heterogeneity across ‎regions. The uploaded data file contains a description of the variables used in the meta-‎analysis and the respective codes.‎
DOI: 10.4121/14060723.v1
title: Dataset underlying the research of Impact of Electrode and Cell Design on Fast Charging Capabilities of Cylindrical Lithium-Ion Batteries

description: This data set includes the presented plot data for the referenced publication. The structure is referring to every plot shown in the research paper and presents the underlying data for every subplot. An overview of the presented data can be found in the attached "Content_of_Dataset" file.
DOI: 10.17632/pt3xrd4wh6
title: Cavitation erosion

description: Cavitation erosion
DOI: 10.17632/xpzcnf3998
title: Importance of social support for Indonesian stroke patients with depression

description: Background 
Approximately one-third of stroke survivors experience depression at some point, which is linked to poor functional results and high mortality rate. Social support from family, friends, and the community is an intervening variable in stroke outcomes aside from the rehabilitation treatments that patients receive. This study assessed the importance of social support for stroke patients with depression and its relationship with patient rehabilitation. 

Methods 
This quantitative study used a cross-sectional approach on stroke patients and their families based on data from the Social Security Administrator for Health (BPJS Kesehatan). One hundred and four participants were recruited using purposive sampling by including stroke patients who have used National Health Insurance (JKN) for stroke medications. 

Results 
We found that instrumental, emotional, interactive, and information support contribute to lowering depressive symptoms. Instrumental support in the form of food availability, money, goods, and services had the highest coefficient value for reducing depression. Emotional support in the form of care and compassion had the second highest value in reducing depression. Further, interaction and informational support remain critical components of social support in reducing depression.   

Conclusion 
The support system plays a key role in decreasing the depression level in stroke survivors. The family and neighborhood have a significant impact on accelerating the rehabilitation process of stroke patients by providing support.
DOI: 10.6084/m9.figshare.19513663.v1
title: Supplementary Material for: Long term impact of the COVID-19 associated AKI: the relationship between kidney recovery and mortality in a 10-month follow-up cohort study

description: Abstract Introduction: Corona Virus-2019 (COVID-19) associated acute kidney injury (AKI) and its short and mid-term effect on kidney has been well established in the previous literature, indicating a high number of AKI in hospitalized patients associated with high rates of mortality, followed by high rates of unresolved kidney injury at the time of discharge. However, the long-term impact of AKI and its resulting lack of recovery at discharge has not been investigated. Herein, we sought to explore the possible relationship between AKI and unresolved kidney injury and post-discharge mortality. Method: In this cohort study, patients hospitalized with COVID-19 who survived to the discharge were followed for a median of 9.6 months. AKI during hospitalization based on the staging according to KDIGO criteria and Kidney injury status at the time of discharge and other comorbidities and mortality during the follow-up period, were recorded. Using Cox proportional hazards regression, the desired association was investigated after adjustment for potential confounders. Result: Among 1017 discharged patients, 298 patients (29.3%) experienced AKI during hospitalization according to KDIGO criteria, of whom 178 patients (59.7%) were diagnosed with unresolved kidney injury at the time of discharge. After adjusting for potential confounders, Cox regression indicated that AKI stage 3 (HR: 4.56, 95% CI: 1.89-10.99, p=0.001) and unresolved kidney injury at the time of discharge (HR: 2.09, 95% CI: 1.18-3.73, p=0.011) were significantly associated with mortality during the post-discharge period. Additionally, Kaplan-Meier curves for overall survival indicated an increased risk of mortality in patients with stage 2, stage 3 AKI, and unresolved kidney injury at the time of discharge. ( P&lt;0.001) Conclusion: Overall, it was shown that patients with COVID-19 who develop AKI, mainly stage 2 and 3, and patients with unresolved kidney injury at the time of discharge, were at increased risk of mortality, even after hospitalization for an extended time
DOI: 10.17632/x6rtf59w4c
title: User Survey for the Stevens Flood Advisory System

description: The Stevens Flood Advisory System (http://Stevens.edu/SFAS) is an ensemble total water level forecast system run by the Stevens Institute of Technology since 2016. An anonymous survey was created and completed by 351 (23%) users out of about 1500 SFAS users who were invited to take it. Those invited are advanced users who are signed up to receive flood watch and advisory emails and may not reflect all the website’s users, nor those who use information secondhand after it is shared by other users, which is common. While all users were given some of the same questions, the survey branched to ask different questions of different user types. A total of 99 respondents responded who share the information with their community or use it for company or government operations (e.g. emergency management). Another 225 users consult SFAS for their own personal household decisions only. The remaining users were research-oriented users.
DOI: 10.17632/tsgddgbt2w
title: Sociopsychological factors influencing Brazilian farmers' intention to regularize their cheese production

description: The files present detailed data on the correlation between the intention of producers to license cheese production in Brazil and the social and structural characteristics of the dairy farms.
Also presented are the results of the scores assigned to the items that make up the constructs of the Theory of Planned Behaviour - TCP, in the assessment of producers' intention to license cheese production.
DOI: 10.17632/66nvngs4cg
title: Journal of Iran's Economic Essays; "Jostarhaye Eghtesadiye Iran; No. 20

description: Journal of Economic Essays; an Islamic approach (JEE) is an open-access double-blind peer-reviewed academic quarterly journal that publishes original research, written with an Islamic approach in various Economic areas including Islamic economics and finance, Iran's economy, Fiqh (Islamic jurisprudence) and economics, philosophy of economics, economic theory, ethics and business, Islamic banking, economic development, and social security institution in Islam. JEE especially welcomes comparative articles that study the western and Muslim scholars' viewpoints about important economic issues to find the best answer to theoretical and applied questions and also to explore their differences and similarities with the aim of bringing them closer to each other. This journal accepts analytical articles that reread Muslim scholars' ideas according to new approaches in economics, moral philosophy, Islamic banking and finance, social security, econometrics, and Islamic economic institutions. Therefore, it aims to serve the interests of a wide range of thoughtful and academic readers, economists, philosophers, theologians, banking and finance experts and others interested in the multidisciplinary study of economics and Islam (including Fiqh "Islamic jurisprudence"). We hope that this publication creates an atmosphere of constructive dialogue on different economic topics between national and international scholars by which it could have a role in the growth of Islamic economic thought in Iran. In addition, Islamic solutions to the economic problems of Iran and the world will be examined and analyzed, and they will be presented to the policy makers to help improve the Islamic economic system.

Major Topics

 The Journal publishes papers, including the following fields:

- Islamic economics and finance;

 - Iran's economy;

 - Fiqh (Islamic jurisprudence) and economics;

 - Philosophy of economics;

 - Economic theory;

 - Ethics;

- Islamic economic institutions

 - Islamic banking;

 - Economic development;

- Social security.
DOI: 10.6084/m9.figshare.7246580.v1
title: Supplementary Material for: Long Non-Coding RNA Expression Profiles for the Characterization of Different Bladder Cancer Grade

description: <b><i>Background/Aims:</i></b> Bladder cancer (BC) is one of the most frequent urologic tumors worldwide. However, long non-coding RNA(lncRNA) expression profiles in BC progression remain unclear. This study aimed to explore lncRNA expression profiles in different grades of bladder cancer and normal urothelium tissues. <b><i>Methods:</i></b> We performed high-throughput sequencing in BC tissues of different grade and obtained the expression profiles of its lncRNAs. Then, aberrantly expressed lncRNAs were validated by quantitative reverse transcription polymerase chain reaction (RT-PCR). Gene Ontology (GO) and pathway analyses were used to investigate the potential function of these lncRNAs. Co-expresson network was constructed to explore the relationship between lncRNAs and target mRNAs. <b><i>Results:</i></b> We identified 252 aberrantly expressed lncRNAs in high-grade BC while compared to low-grade BC, and 269 lncRNAs in high-grade BC while compared to normal urothelium. Notably, we found 33 overlapped lncRNAs. Subsequently, 7 lncRNAs were selected from the overlapped part and confirmed by RT-PCR. GO and pathway analyses showed that these dysregulated lncRNAs participated in cell migration, cell adhesion, as well as Ras signaling pathway. Co-expression network and The Cancer Genome Atlas (TCGA) data showed LUCAT1 and CCNB1 had positive relationship in regulating the progress of bladder cancer. <b><i>Conclusion:</i></b> Our findings revealed the significant role of lncRNAs in the development process of bladder cancer.
DOI: 10.17632/dgv8jrxt4w
title: Spatial mapping of activity changes across sensory areas following visual deprivation in adults

description: Data used for publication.
All image files are provided in three separate databases:
Part 1 is available at doi: 10.17632/rgkpb7npy5.1
Part 2 is available at doi: 10.17632/hrwy3bvzp5.1
Part 3 is available at doi: 10.17632/w4sdd9278b.1
DOI: 10.6084/m9.figshare.24085797.v1
title: Yield files for "Optimal Cllimate Intervention Scenarios for Crop Production Vary by Nation".

description: Ensemble average yield files for "Optimal Cllimate Intervention Scenarios for Crop Production Vary by Nation" processed from CLM5crop output. Refer to README.txt file for details.
DOI: 10.15468/dl.ses5be
title: Occurrence Download

description: A dataset containing 381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Lochmaea crataegi (Forster, 1771)"
 ]
}

 The dataset includes 381 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009276-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/j4ydzzv4kb
title: sireNNet-Emergency Vehicle Siren Classification Dataset For Urban Applications

description: An audio dataset for classifying sirens of emergency vehicles such as firetruck, ambulance and police vehicles along with an additional class for traffic noise.

The dataset consists of the following 4 classes with the distribution of data within them as follows:
1. Ambulance: 400 files
2. Police: 454 files
3. Firetruck: 400 files
4. Traffic: 421 files

Since the Dataset has gone through multiple iterations, the authors have uploaded the final version ONLY which includes the augmented datapoints. Additionally, the extracted features of the original dataset, augmented dataset, code files, notebooks and subsequent research paper can be availed on-demand by approaching the authors personally.
DOI: 10.17632/hrzkm56zw7
title: Data for: Approximate models for the lattice thermal conductivity of alloy thermoelectrics

description: This online repository provides additional data to accompany the paper: "Approximate models for the lattice thermal conductivity of alloy thermoelectrics" J. M. Skelton Journal of Materials Chemistry C (2021), DOI: 10.1039/D1TC02026A This article provides a detailed theoretical characterisation of the thermal transport in Pnma SnS and SnSe, and builds on previous work on the Pnma Sn(S,Se) alloy system to develop and benchmarks a series of approximate models for the thermal conductivity of the Sn(S0.1875Se0.8125) alloy. This repository makes available a full set of data from these calculations, including: * Data for the alloy model; * Structures; * Harmonic lattice-dynamics calculations; and * Anharmonic lattice-dynamics and thermal-conductivity calculations. The repository also contains sample input files for the Vienna Ab initio Simulation Package (VASP) code. For details of how this data was generated, users are referred to the published article and supporting information. Brief details of file formats and links to further documentation are given in the included README file.
DOI: 10.17632/8cyyf8w274
title: Dataset: Archean Chemical Industries Limited (ACI.NS) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.6084/m9.figshare.22581691.v1
title: Urban residential building stocks 1978-2020

description: 159,401 records are weight in total and by 11 types of materials embodied in urban residential buildings in 337 cities from 1978 to 2020
DOI: 10.17632/7cpgytgt6s
title: Data for: Automated detection of sigmatism using deep learning applied to multichannel speech signal

description: The file contains three CNN 5-CH models in Matlab Deep Learning Toolbox format. The trained networks correspond to Experiments #1, #2, and #3b as described in the paper.
DOI: 10.17632/vr8yvz54df
title: USM dataset (second third) Locally Linear Embedding and fMRI feature selection for psychiatric classification

description: second third of ABIDE dataset collected at the Utah School of Medicine ("USM")
DOI: 10.17632/n8c49mkxxx
title: Data for: Intolerance of Uncertainty and Responsibility for Harm Predict Nocturnal Panic Attacks

description: This dataset contains the variables used in the manuscript "Intolerance of Uncertainty and Responsibility for Harm Predict Nocturnal Panic Attacks."
DOI: 10.17632/zcs4n65r83
title: Data for: 'Highly proteolytic bacteria from semi-ripened Chiapas cheese elicit ACE inhibitory and antioxidant actvities
DOI: 10.17632/xb6c8xtp2m
title: Data for: A real-time three-dimensional coherent ladar demonstration: system structure, imaging processing, and experiment result

description: we provide the original data of the exprimenal results. This data contains the three dimensional coordinatesthe of the point cloud images