cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20024430.v1
title: IMPROVEMENT OF CARDIOVASCULAR FUNCTION HEALTH LEVEL BY REGULAR SPORTS

description: ABSTRACT Introduction Regular physical activity helps improve cardiovascular and cerebrovascular skills. How to evaluate the nervous tension of the cardiovascular and cerebrovascular vessels through sports is a hot topic. Objective The paper discusses the influence of regular participation in sports on people’s cardiovascular function and blood-related indicators. Methods We select 30 healthy older adults who regularly participate in sports, record their ECG changes, blood pressure, heart rate and other related cardiovascular function indicators, and analyze the blood function of the elderly. Detection of blood cell count (RBC), red blood cell volume (MCV) and hemoglobin (Hb), serum creatinine (Cr), blood glucose (BGS), triglycerides (TG), cholesterol (TC), low-density lipoprotein (LDL) and high-Density lipoprotein (HDL) is measured. Results Older adults who persist in exercise for a long time have better indicators than those who do not exercise. Conclusions Appropriate aerobic exercise can reduce the stiffness of blood vessels in the elderly. Exercise can help the elderly increase heart rate variability and improve the heart’s autonomic nerve function’s blood indicators, and body mass. Level of evidence II; Therapeutic studies - investigation of treatment results.
DOI: 10.6084/m9.figshare.23992608.v3
title: data set for GIS.xlsx

description: locations data
DOI: 10.6084/m9.figshare.25991557.v1
title: The crustal structure of Southeast Tibet from joint inversion of surface wave dispersion and gravity anomaly data

description: This is the S-wave velocity and density model of SE Tibet. This model is from the pape Chen et al. (2024), which is submitted to Journal of Asian Earth Sciences.
DOI: 10.6084/m9.figshare.3920526.v1
title: Maize Hybrid Imaging

description: Time course imaging of two maize inbreds and the F1 hybrid generated by crossing the two together.<br>For the purposes of generating this GIF, days with missing data were replaced with the image from the day previous to the gap. <br><br>
DOI: 10.6084/m9.figshare.8943302.v1
title: Datas EC app.xlsx

description: Body dissatisfaction is a major risk factor underlying vulnerability to eating disorders. Laboratory settings suggest that body dissatisfaction could be improved by using evaluative conditioning (EC). The present study evaluates the feasibility of using an EC app in everyday life and the effects of its use on body dissatisfaction. We designed a game-like app inspired by the Therapeutic Evaluative Conditioning app. 60 participants were randomly assigned to two conditions. Participants in the EC condition had to pair photographs of their own body with positive photographs, while participants in the neutral condition had to pair photographs of their own body with neutral photographs. We tested the effect of use of the app on body dissatisfaction, drive for thinness, self-esteem, mood and eating behaviors.<b><i> </i></b>Analysis revealed that participants in all conditions presented a significant decrease in body dissatisfaction and drive for thinness. However, contrary to our hypothesis, these reductions were not greater in the EC condition than in the neutral condition.<b><i> </i></b>This is the first study to evaluate the effects of an app-based EC intervention targeting body image. Results appear to be promising and the app could easily be implemented in an ecological setting as it is a low effort, attractive and accessible intervention. However, these findings do not support the idea that evaluative conditioning is responsible for the effects. Results are discussed.<b><i></i></b>
DOI: 10.17632/fxbmcb8czp
title: Lamotrigine and Levetiracetam Serum/Plasma Levels and Toxicity

description: Supplementary file 1: Data for 5,046 measurements of lamotrigine serum/plasma drug levels on 1,930 unique patients (1,068 female, 862 male).  The retrospective timeframe is August 1, 1996 through November 15, 2018.

Supplementary file 2: Data for 597 measurements on 293 unique patients (163 female, 130 male) for which the lamotrigine serum/plasma drug level was greater than 14.0 mg/L.  Data includes information from detailed chart review.    The retrospective timeframe is August 1, 1996 through November 15, 2018.

 Supplementary file 3: Data for 4,359 measurements of levetiracetam serum/plasma drug levels on 2,451 unique patients (1,225 female, 1,226 male).  The retrospective timeframe is January 1, 2005 and November 15, 2018.

Supplementary file 4: Data for 134 measurements on 106 unique patients (33 female, 73 male) for which the levetiracetam serum/plasma drug level was 80 mg/L or higher.  Data includes information from detailed chart review.   The retrospective timeframe is January 1, 2005 and November 15, 2018.
DOI: 10.6084/m9.figshare.12123855.v1
title: Digital footprint from Southern Federal University, Russia: University students' activity during the first month of remote higher education due to coronavirus outbreak

description: In order to analyse University students' activity patterns, non-personal student user data (15,488 users) was enriched with the Teams user activity report for the 30 days since going remote over coronavirus pandemic.<br>Data fields description:<br>Campus location (0, 1, 2, 3)Form of education (On campus, Part-Time, Extramural)Degree pursued (Bachelor, Master, Diplom, PhD)Field of study CodeISCED Code (1, 2, 3, 4, 5)Year of study (1-6)Status (1 - Active, 0 - Sabbatical)Sex (M, F, N/A)Microsoft license type (Student, Alumni, Faculty)Assigned products (Office 365, Exchange, Flow, Stream)Microsoft Teams user activity report in the last 30 days (see Reference)<br> ChannelMessages<br> ReplyMessages PostMessages ChatMessages MeetingsOrganized MeetingsParticipated 1:1 Calls GroupCalls AudioTime (Minutes) VideoTime (Minutes) ScreenShareTime (Minutes)Time since last activity (d hh:mm:ss)
DOI: 10.6084/m9.figshare.12973055.v3
title: Dataset for methane combustion

description: The dataset contains 578,731 structures for methane combustion and their energies and forces under MN15/6-31G** level.
DOI: 10.6084/m9.figshare.28693367.v2
title: A high-resolution Net Ecosystem Exchange dataset (500m, 8-day intervals) for the Qinghai-Tibet Plateau

description: We developed a high-resolution NEE dataset (500m, 8-day intervals) for the QTP, utilizing in-situ measurements from 36 plateau sites and 80 forest sites outside it, combined with remote sensing and meteorological data. Various combinations of environmental variables and machine learning algorithms were applied to assess prediction uncertainties. The results indicated that the annual mean NEE for the QTP averaged -147.68 ± 15.02 Tg C yr<sup>-1</sup>, with an annual increase of 0.94 Tg C yr<sup>-1</sup> from 2002 to 2022. Meadows contributed most (38.1%) to total NEE, followed by shrubs (26.7%), forests (23%), steppes (11.8%), and wetlands (0.5%). Compared to previous studies, this research utilized more eddy covariance observations and covered all QTP ecosystem types, except for deserts. The updated NEE prediction dataset for the QTP provided essential data for advancing regional carbon cycle research.
DOI: 10.6084/m9.figshare.5577415.v1
title: Use Cases Results RMLEditor vs RMLx Visual Editor

description: The results of the use cases of the 2017 evaluation between the RMLEditor and RMLx Visual Editor<br>
DOI: 10.6084/m9.figshare.8337692.v1
title: Marchantia inflexa genome annotation

description: Genome annotation for the <i>Marchantia inflexa</i> genome assembly. <br> The paper describing this assembly is availble at: https://www.nature.com/articles/s41598-019-45039-9 <br> The unprocessed sequence data associated with this study are available in GenBank (accession numbers: SRR7348360 and SRR7348361). This Whole Genome Shotgun project (M_inflexa_v1.1) has been deposited at DDBJ/ENA/GenBank under the accession QLSQ00000000, version QLSQ01000000. <br> The complete mitochondrial and chloroplast sequences are available at FigShare (https://doi.org/10.6084/m9.figshare.6639209.v1).<br>
DOI: 10.17632/tt2smzrzrs
title: Advanced Tea Crop Disease Study: High-Resolution Dataset for Precision Agriculture and Pathological Insight

description: 1. The horticulture industry places a high value on tea plants because of their economic importance and widespread consumption. Nevertheless, several diseases might substantially negatively influence their well-being and output, making cultivation difficult. For a therapy to be effective, leaf diseases must be accurately and quickly identified. High-resolution images of tea plant leaves were taken from two different garden at the Moulvi Bazar site in Sylhet, Bangladesh, and are included in this dataset. The images are divided into four distinct classes: Healthy (2270 images), Tea Leaf Blight (509 images), Tea Red Leaf Spot (561 images), and Tea Red Scab (620 images). These classes represent both damaged and healthy leaves. The dataset has 3960 images in total. Comprehensive comments describing the condition's nature and severity are included with every photograph. This data is essential for accurate and trustworthy model training and validation. The information also contains metadata that records the location and surrounding circumstances at the time the photograph was taken. Understanding the environmental factors influencing the prevalence of disease and enhancing the accuracy of predictive models require this contextual information.
2. At the moment, there are a lot of potential deep learning and computer vision techniques to handle these kinds of categorization and detection problems.
3. To create deep learning techniques, an extensive tea plant disease dataset is provided. The subject matter expert from an agricultural institute collaborated with us to construct the classifications for this dataset.
4. From the two different tea garden at the Moulvi Bazar site in Sylhet, Bangladesh, a total of 3960 images depicting Healthy (2270 images), Tea Leaf Blight (509), Tea Red Leaf Spot (561), and Tea Red Scab (620) were collected. Then, using methods like flipping, width shifting, height shifting, brightening, rotating, shearing, and zooming, 4000 augmented images are made from these original photos to increase the quantity of data sets.
DOI: 10.25377/sussex.7970714.v1
title: Dataset for Everyday Childhoods research project. Funmi - Day in a Life

description: This data was collected as part of Funmi's day in a life observation carried out on the 25/06/2014 with Liam Berriman. This item belongs to the Everyday Childhoods project dataset. For more information, click on the project or collection link.
DOI: 10.6084/m9.figshare.1258799.v2
title: Sleep restriction during simulated wildfire suppression: effect on physical task performance_FigshareRaw

description: PONE-D-14-36012 10.1371/journal.pone.0115329 Raw data from above manuscript
DOI: 10.6084/m9.figshare.1571945.v1
title: Groningen frailty indicator in older patients with end-stage renal disease

description: <i>Background</i>: Currently over 55% of end-stage renal disease (ESRD) patients are aged ≥60 years and patients &gt;75 years represent the fastest growing segment of the dialysis population. We aimed to assess whether the Groningen frailty indicator (GFI) can be used to distinguish fit older ESRD patients, likely able to tolerate and benefit from dialysis, from frail older patients who need further evaluation with a geriatrician’s comprehensive assessment. <i>Methods</i>: All patients aged ≥65 years visiting the pre-dialysis unit at the Gelre hospital between 2007 and 2013 were included and underwent the GFI (<i>n</i> = 65). Patients with GFI ≥ 4 (frail) were referred for geriatric consultation (<i>n</i> = 13). Results of the GFI and nephrologists’ evaluation were compared with geriatrician’s assessment. Survival rates and outcomes after one year of follow up were recorded. <i>Results</i>: Twenty patients (32%) were identified as frail. Of the problems identified by the geriatrician in 13 patients, 55% were not reported in the nephrologists’ notes. The first year after inclusion, 30% of patients with a GFI ≥ 4 died, compared to 9% of fit patients (<i>p</i> = 0.04). Moreover, 90% of frail patients had been hospitalized one or more times, compared to 53% in the fit group (<i>p</i> = 0.005). <i>Conclusion</i>: Although the GFI can be a useful instrument to identify ESRD patients at risk, both the GFI and the nephrologists’ assessment failed to identify specific geriatric impairments. Further research is needed to develop a specific frailty indicator for ESRD patients and to determine the value and effect of a comprehensive geriatric assessment in ESRD patients.
DOI: 10.6084/m9.figshare.19441046.v1
title: GIS shape file of annual average groundwater head - CONUS

description: GIS shape file of annual average groundwater head - CONUS
DOI: 10.6084/m9.figshare.28330655.v1
title: Data from: A protocol for error prevention and quality control in camera trap datasets.

description: Data from: A protocol for error prevention and quality control in camera trap datasets.
DOI: 10.17632/54rsxfytsn
title: A FRAMEWORK FOR DAMAGE DETECTION IN TRUSS STRUCTURES USING THE FINITE ELEMENT METHOD AND ARTIFICIAL INTELLIGENCE

description: Trabalho apresentado ao III Simpósio Gaúcho de Engenharia Aeroespacial e Mecânica, Santa Maria, RS, Brasil.
DOI: 10.17632/dkpnsv4g5m
title: Ethics in Archaeology Teaching Study: Survey of 2023 Anthropology Program Requirements

description: This is a a de-identified, sanitized copy of survey data from our Ethics in Archaeology Teaching Study that looked at United States Anthropology Programs with majors or minors in 2023. Data collection for this study was overseen by Carleton College’s Institutional Review Board (IRB 2021-22 1368 SKENNEDY2). Funding was made possible through Carleton College’s Student Research Assistantship program.

This survey data was collected by Ezra Kucur in 2023, and updated throughout 2023-2024. Our sample was derived from a list of 827 U.S. colleges and universities with undergraduate anthropology programs from the American Anthropological Association’s AnthroGuide, as observed in 2023 when we created the initial sample group (https://guide.americananthro.org/39/Degree-Programs). The AnthroGuide lists 827 total programs offering anthropology across both undergraduate and graduate programs in the United States and Canada. From the list of 827, we extracted the 637 institutions that were based in the U.S. that included undergraduate programs (major and/or minor) including associates/2-year degrees and combined graduate-undergraduate institutions. From there, we classified the 637 institutions according to their status as Predominantly/Historically White Institutions (PWIs) and Minority Serving Institutions (MSI), based on the categories curated by the MSI Data Project, a publicly accessible digital research initiative that aims to further advance minority-serving institutions and their unique contributions to higher education (https://www.msidata.org). 

We have redacted the name of each institution, as well as publicly visible course numbers, course descriptions, and our notes. The institutions are now named randomly with consecutive numbers from 1-222. This dataset includes the following information for each of the 222 institutions: Carnegie Institution Type, General Institution Type, MSI designation, and presence or absence of anthropology major, anthropology minor, requirements or learning objectives, ethics requirements, ethics electives, anthropology ethics electives, and courses listed.
DOI: 10.17632/k8z6xpjmrb
title: Data and Program for "Loan Spreads and Credit Cycles:  The Role of Lenders’ Personal Economic Experiences"

description: This folder contains the code and datasets to recreate the tables in "Loan Spreads and Credit Cycles:  The Role of Lenders’ Personal Economic Experiences."
DOI: 10.17632/pp8vgvfcv4
title: KSSOLV 2.0: An efficient MATLAB toolbox for solving the Kohn-Sham equations with plane-wave basis set

description: KSSOLV (Kohn-Sham Solver) is a MATLAB toolbox for performing Kohn-Sham density functional theory (DFT) calculations with a plane-wave basis set. KSSOLV 2.0 preserves the design features of the original KSSOLV software to allow users and developers to easily set up a problem and perform ground-state calculations as well as to prototype and test new algorithms. Furthermore, it includes new functionalities such as new iterative diagonalization algorithms, k-point sampling for electron band structures, geometry optimization and advanced algorithms for performing DFT calculations with local, semi-local, and hybrid exchange-correlation functionals. It can be used to study the electronic structures of both molecules and solids. We describe these new capabilities in this work through a few use cases. We also demonstrate the numerical accuracy and computational efficiency of KSSOLV on a variety of examples.
DOI: 10.6084/m9.figshare.13297655.v2
title: 2bRAD-M species database (default)

description: The default 2bRAD-M unique tag database
DOI: 10.6084/m9.figshare.24902283.v1
title: Hainan Province 2023 Rubber Forest Sample Plot Survey Data

description: Rubber trees are the primary source of natural rubber and are extensively planted in tropical regions. Hainan Province is one of China's main rubber-planting areas. The rubber planting industry is multifunctional and multi-beneficial. It is not only a pillar of Hainan's agriculture but also a significant source of income for farmers. The benefits and impacts of its ecosystem services are substantial. In September 2023, we conducted a survey of 102 rubber forest plots in Hainan Province. We recorded the coordinates of each plot and performed three-dimensional LiDAR scanning and biomass sampling, obtaining three-dimensional point cloud information and biomass data for each plot. After collecting the plot survey data, we used high-resolution Google satellite imagery with a resolution of 0.59m, combined with the Res-Unet deep learning algorithm, to develop a rubber forest recognition model and obtained the distribution of rubber forests in Hainan Province for 2023. Additionally, here is the description of our data folder files:1.The folders 'Classification of Rubber Forest' and 'Figures' contain the results of our identified rubber forest distribution in Hainan Province for 2023 and the distribution of sampling points from the plot survey.2. The folder 'Rubber Forest Sample Plot Survey Data' contains our three-dimensional LiDAR scanning measurements and biomass data of the rubber forest plots.
DOI: 10.6084/m9.figshare.28112816.v3
title: Table of lipid qualitative and quantitative results

description: <b>Differences of hippocampal lipid metabolism in epileptic rats</b>
DOI: 10.17632/nmjxz73z6y
title: Cotton Crop plant leaves Data set for Disease Classification 

description: Data is collected from different cotton crop areas in district Shaheed Banzirabad. Normally three locations from different regions are selected for finding out common diseases in the cotton crops. 
Cotton crop images are captured for data set preparation which is needed further analysis using the Deep learning approach. 
District: Nawab Shah, Shaheed Banzirabad
Province: Sindh 
Country: Pakistan
DOI: 10.17632/y6tdzbn9cf
title: Data for: Renewable Energy, institutional stability, Environment and Economic Growth Nexus of D-8 countries.

description: this data contain the variables of macroeconomic factors, environment, and energy. data is collected from different source where sources are mentioned in the manuscript
DOI: 10.6084/m9.figshare.1621440.v1
title: Group B

description: This group contains clips that doesnt contain fire
DOI: 10.6084/m9.figshare.21900501.v1
title: Base_QB_SU.pages

description: <em>Semi-structured interviews with 30 women founders of startups.</em>
DOI: 10.6084/m9.figshare.22691446.v1
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.28429301.v1
title: Nepali Ethnic Groups Dataset

description: This dataset consists of 1,045 images capturing various emotions, including happy, sad, disgust, fearful, neutral, surprised, and angry, featuring individuals from diverse cultural and ethnic backgrounds in Nepal.
DOI: 10.6084/m9.figshare.28588400.v1
title: 巨噬细胞激活的时间动力学<i>沙门氏菌肠道血清型伤寒感染期间巨噬细胞激活的时间动力学：综合转录组学和代谢组学分析</i>

description: 伤寒沙门氏菌血清型伤寒沙门氏菌 （S.Typhi） 是导致食源性疾病的主要细菌。了解宿主免疫反应的时间动态和相关的代谢重编程对于确定潜在的治疗靶点至关重要。本研究采用综合转录组学和代谢组学方法研究伤寒沙门氏菌感染的巨噬细胞在确定阶段 （0 h、2 h、4 h、8 h 和 24 h） 的反应。RNA 测序 （RNA-seq） 用于分析基因表达变化，而非靶向代谢组学表征代谢变化。进行基因集富集和通路分析以确定关键的免疫和代谢通路。此外，应用收敛交叉映射 （CCM） 分析来揭示基因表达和代谢物波动之间的因果关系。
DOI: 10.6084/m9.figshare.3524228.v1
title: Appendix A. A summary of the data gathered from papers used in the meta-analysis reported here.

description: A summary of the data gathered from papers used in the meta-analysis reported here.
DOI: 10.6084/m9.figshare.840544.v1
title: SUPERSMART: Self Updating Platform for Estimating Rates of Speciation and Migration, Ages and Relationships of Taxa

description: Understanding the historical assembly of biomes and the response of biodiversity to past episodes of climate change may help us prioritize clades and regions for conservation. Vast amounts of biological data are being deposited at public databases, holding the potential for powerful assessments of large-scale evolutionary processes. Yet, there have been surprisingly few attempts to merge and synthesize data within and among databases, and apply them in macro-evolutionary and biogeographic research. In this talk I will present SUPERSMART, which aims at merging data from major biological databases and providing users with a flexible, open-source platform for a wide range of evolutionary and biogeographical questions and analyses. In particular, we are linking DNA sequences, species distribution data, fossil records, and climatic variables. For these purposes we are 1) further developing the PhyLoTa browser in order to produce genus-level, fossil calibrated mega-chronograms for plants, animals and fungi; 2) from these trees, producing hundreds of species-level, multi-gene datasets of directly comparable crown ages; 3) applying a newly developed Bayesian meta-analysis approach to estimate rates of speciation, extinction, and migration within and among user-defined operational areas; and 4) testing for correlations between diversification, migration, and environmental niche evolution. The bioinformatics pipeline developed for this purpose is distinctly modular and can easily be modified and extended as new methods and software become available. There are several interactions between SUPERSMART and other on-going initiatives in North America and Europe. I will provide some highly relevant empirical examples of the use of this platform in biogeographic research. Keywords: Historical biogeography, species diversification, biome evolution, bioinformatic tools, dated tree of life.