cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5544592.v3
title: Clinical epidemiology and outcomes of community acquired infection and sepsis among hospitalized patients in a resource limited setting in Northeast Thailand: A prospective observational study (Ubon-Sepsis)

description: This is a part of prospective observational (non-interventional) study of community-acquired sepsis and severe sepsis in Sunpasithiprasong Hospital, Ubon Ratchathani province, northeast Thailand (NCT02217592). We prospectively enrolled adult patients (age≥18 years) who were admitted with a primary diagnosis of suspected or documented infection made by the attending physician, were within 24 hours of hospital admission, and had at least three sepsis diagnostic criteria documented in the medical record.<br><br>The manuscript reports clinical epidemiology and outcomes of patients presenting with sepsis in Northeast, Thailand. <br><br>The data comprises of demographic, clinical information and 28-day mortality of 4,989 patients at Sunpasitthiprasong Hospital, Ubon Ratchathani province, Thailand. There are two files, the data and the data descriptions.
DOI: 10.17632/tgjrh6d4pp
title: Supplementary Data - Reorientation and despinning of 4 Vesta formed the Divalia Fossae

description: Supplementary Data is available as a downloadable Excel file. It contains the data of principle stress distribution and their azimuth from numerical modeling, predicted fracture type and their orientations (optimal and range), and the comparative result with Divalia Fossae for each of the 15 by 15 degrees geographic grid on Vesta.
DOI: 10.6084/m9.figshare.16557909.v1
title: Supplementary Material for: Hidradenitis Suppurativa in a Large Cohort of Italian Patients: Evaluation of the Burden of Disease

description: <b><i>Background:</i></b> Hidradenitis suppurativa (HS) is a chronic, inflammatory, recurrent, debilitating skin disease of the hair follicle that usually occurs after puberty with painful, deep-seated, inflamed nodules and sinus tracts in the apocrine gland-bearing areas of the body, most commonly the axillae and inguinal and anogenital regions, with a relevant impact on patients’ quality of life (QoL). <b><i>Objective:</i></b> To evaluate how the burden of HS disease impacts on patient well-being and working activities in a large Italian population over a period of 9 months. <b><i>Methods:</i></b> A multicenter, prospective, epidemiologic cohort study was conducted in adult Italian patients with HS. HS severity was assessed through Hurley stage and HS Physician’s Global Assessment (HS-PGA), clinical improvement by HS Clinical Response (HiSCR) and partial response, and disease burden through QoL questionnaires (HIDRAdisk, Skindex-16, Dermatology Life Quality Index [DLQI]), and Work Productivity and Activity Impairment – General Health (WPAI:GH). <b><i>Results:</i></b> A total of 308 patients (56.2% women; mean age 35.2 ± 12.9 years) were enrolled in 27 dermatologic clinics. Men were older (37.4 years vs. 33.5), more smoking addicted (74.1% vs. 60.1%), and alcohol consumer (34.1% vs. 13.9%), while more women were obese (34.10% vs. 22.22%). At baseline, most patients had a Hurley severity stage of 2 (43.9%), a moderate HS-PGA score (57.1%), and poor QoL (HIDRAdisk: 65.7 ± 23.3, Skindex-16: 60.3 ± 26.9, and DLQI: 10.8 ± 8.1). Patients with more severe disease showed worse QoL. Mean values for the variables related to HS severity decreased during the study period. The achievement of HiSCR and partial response increased during the study. <b><i>Conclusion:</i></b> This study offers insight into the disease burden of HS in an Italian population. Our results underline the impact of QoL evaluation, also with the use of the HIDRAdisk, in clinical routine as a support to validated severity clinical and instrumental indexes for a “360-degree” assessment of HS patient’s burden of disease.
DOI: 10.6084/m9.figshare.24903387.v1
title: <b>A comprehensive dataset of photonic features on spectral converters in energy harvesting and conversion applications</b>

description: Literature review on Luminescent Solar Concentrator over the past 44 years from the Web of ScienceTM Core Collection, gathering the optical key performance index and identify the material classes that contribute to the performance.
DOI: 10.6084/m9.figshare.25141004.v1
title: Supplementary Material for: Global scientific trends in continuous renal replacement therapy from 2000 to 2023: A bibliometric and visual analysis

description: Introduction: Continuous renal replacement therapy (CRRT) is one of the most widely used blood purification and organ support methods in the ICU. However, the development process, the current status, hotspots, and future trends of CRRT remain unclear.
Method: The WoSCC database was used to analyze CRRT research evolution and theme trends. VOSviewer was used to construct co-authorship, co-occurrence, co-citation, and network visualizations. Citespace is used to detect bursts for co-occurrence items. Several important subtopics were reviewed and discussed in more detail.
Results: Global publications increased from 56 in 2000 to 398 in 2023, a 710.71% increase. Blood Purification published the most manuscripts, followed by International Journal of Artificial Organs. The United States, the San Bortolo Hospital, and Bellomo, R were the most productive and impactful institution, country, and author respectively. Based on co-occurrence cluster analysis, five clusters emerged: (1) Clinical applications and management of CRRT; (2) Sepsis and CRRT; (3) CRRT anticoagulant management; (4) CRRT and antibiotic pharmacokinetics and pharmacodynamics; and (5) Comparison of CRRT and intermittent hemodialysis. COVID-19, initiation, ECOMO, cefepime, guidelines, cardiogenic shock, biomarker and outcome were the latest high-frequency keywords or strongest bursts, indicating the emerging frontiers of CRRT.
Conclusions: There has been widespread publication and citation of CRRT research in the past two decades. We provide an overview of current trends, global collaboration patterns, basic knowledge, research hotspots, and emerging frontiers.
DOI: 10.6084/m9.figshare.27146919.v1
title: BD_Fuga de agua.rar

description: This article aimed to summarize the information on "machine learning for water leak detection", for this a search was carried out in the database: scopus, web of science, sciencedirect, Springer Link, finding inclusion and exclusion criteria of 50 articles. The main results were: Which technologies are currently used for the detection of leaks from drinking water pipes, with an assessment of 51% of the articles; Which Machine Learning techniques are most effective for detecting leaks in drinking water distribution systems; what factors influence the accuracy of Machine Learning models for the detection of leaks in water networks; Which countries are currently leading research in the application of Machine Learning for leak detection in drinking water infrastructure and finally the key points were which terms with key concepts usually appear in research on the use of Machine Learning in the management of leaks in drinking water systems. In conclusion, the current ML technologies for the detection of pipe leaks is very backward in many countries, even in some there is no such system, which should be more research in countries where these leakage errors are very frequently shown<br>
DOI: 10.6084/m9.figshare.27157044.v1
title: nitrogen transformations in cropland

description: We considered of N transformation processes among the three soil N pools (organic N, NH<sub>4</sub><sup>+</sup>, and NO<sub>3</sub><sup>−</sup>), namely gross N mineralization (oxidation of organic N to NH<sub>4</sub><sup>+</sup>), gross heterotrophic nitrification (oxidation of organic N to NO<sub>3</sub><sup>−</sup>), gross autotrophic nitrification (oxidation of NH<sub>4</sub><sup>+</sup> to NO<sub>3</sub><sup>−</sup>), gross dissimilatory NO<sub>3</sub><sup>−</sup> reduction to NH<sub>4</sub><sup>+</sup> (DNRA), gross NH<sub>4</sub><sup>+</sup> immobilization (the conversion of NH<sub>4</sub><sup>+</sup> to organic N), and gross NO<sub>3</sub><sup>−</sup> immobilization (the conversion of NO<sub>3</sub><sup>−</sup> to organic N). Additionally, we took into account plant NH<sub>4</sub><sup>+</sup> uptake<i> </i>(<i>U</i><sub>NH4</sub>) and plant NO<sub>3</sub><sup>−</sup> uptake (<i>U</i><sub>NO3</sub>). Observations (upland/paddy) include N mineralization (334/114), autotrophic nitrification (199/109), heterotrophic nitrification (161/98), NH<sub>4</sub><sup>+</sup> immobilization (210/113), NO<sub>3</sub><sup>−</sup> immobilization (194/23), DNRA (150/111), <i>U</i><sub>NH4</sub> (76/38), <i>U</i><sub>NO3</sub> (76/38). The <i>U</i><sub>N</sub> (76/38) was also calculated as the sum of <i>U</i><sub>NH4</sub> and <i>U</i><sub>NO3</sub>.
DOI: 10.6084/m9.figshare.964901.v1
title: immigrants.income.csv

description: Immigrant census data for New York City
DOI: 10.6084/m9.figshare.1054706.v1
title: Locality data for 82 species of western North American Mimulus

description: This file contains the western North American Mimulus locality data used in “Identifying the paths leading to variation in geographical range size in western North American monkeyflowers” by Sheth et al. (2014) in Journal of Biogeography. The file includes primary occurrence data for 82 species of Mimulus in western North America. Please see Table S1 in Appendix S3 of “Identifying the paths leading to variation in geographical range size in western North American monkeyflowers” (Sheth et al. 2014; Journal of Biogeography) for information on data sources. Coordinates are based on Albers equal area conic projection of North America. In the publication, only species occupying at least three 5-arc minute pixels were included in the analyses, resulting in a final dataset of 72 Mimulus species.
DOI: 10.6084/m9.figshare.11879457.v1
title: NAC_CKD datasets

description: Data related to publication in PlosONE
DOI: 10.6084/m9.figshare.6380615.v1
title: pWCP ACROSS METAGENOMES

description: <b>An anvi'o merged profile for the read recruitment of pWCP from seven C. pipiens metagenomes.</b><br>Details of the study and a reproducible bioinformatics workflow:<br>http://merenlab.org/data/wolbachia-plasmid/<br><br>All public data files in this collection:<br>https://figshare.com/projects/A_Wolbachia_Plasmid_by_Reveillaud_and_Bordenstein_et_al_2018_/32069
DOI: 10.15468/dl.7s37ja
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagamichthys schnakenbecki (Krefft, 1953)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.9648 -7.1504,26.9648 -7.1504,26.9648 -16.1504,35.9648 -16.1504,35.9648 -7.1504))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013190-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.12622787.v1
title: Gene database of Salmonella enterica subsp. Typhimurium LT2

description: <i>Salmonella typhimurium</i> is a Gram-negative, flagellated, motile bacterium known to cause gastrointestinal disease in humans. Armed with two pathogenicity islands of clusters of genes implicated in pathogenesis, <i>S. typhimurium </i>is a formidable pathogen for which clinical microbiology labs keep a constant lookout for in patients with diarrhoea symptoms. Being an evolutionary relative of the well-studied <i>Escherichia coli</i>, major questions remain on why <i>S. typhimurium</i> could amass two important pathogenicity islands in its genome. Specifically, what are the circumstances on which ancestral <i>S. typhimurium</i> acquired or evolved the two pathogenicity islands? Knowledge of these evolutionary paths would expand our understanding of how pathogen evolved from otherwise benign microbes, as well as answer the question of whether pathogenic potential is an evolutionary adaptive trait or phenotype endowed in the genome. This work sought to provide basic information of the genetic repertoire of <i>S. typhimurium</i> LT2 by parsing its annotated genome sequence from Genbank with an in-house MATLAB software. Comprising gene name, gene function, and gene sequence, the resource should be useful in a variety of host microbe studies seeking to elucidate how the pathogen adapts to changing environmental and nutritional conditions in the human gastrointestinal tract particularly with reference to changing dietary habits of people around the world.
DOI: 10.6084/m9.figshare.7565297.v1
title: Supplementary Material for: Rapidly and Slowly Growing Lineages in Chromosomal Instability-Type Gland-Forming Gastric Carcinomas as Revealed by Multisampling Analysis of DNA Copy-Number Profile

description: <b><i>Background:</i></b> To examine whether gastric carcinoma (GC) with chromosomal instability (CIN-type GC), the largest category in the Cancer Genome Atlas classification, consists of a single genetic lineage, we conducted a multisampling analysis of genomic DNA copy-number profile. <b><i>Methods:</i></b> We performed array-based comparative genomic hybridization using formalin-fixed paraffin-embedded tissues from 54 gland-forming GCs containing a total of 106 DNA samples from mucosal, extramucosal invasive, and lymph node lesions. Microarray data were analyzed by unsupervised hierarchical clustering and penetrance plots. Epstein-Barr virus infection status and mismatch repair (MMR) enzyme-silencing/p53/mucin expression were examined by in situ hybridization and immunohistochemistry, respectively. <b><i>Results:</i></b> The samples examined were divided into gain-rich cluster A and loss-rich cluster B, which were different in tumor locus and patient age. The T1/T2–4 ratio, the frequency of small cancers (diameter ≤2–4 cm), and intestinal mucin expression were higher in cluster B than in cluster A, but there were no significant differences in the frequencies of MMR silencing, mutant p53 pattern, and lymph node metastasis between the 2 clusters. <b><i>Conclusions:</i></b> We demonstrated that CIN-type GC could be categorized into 2 genetic lineages which are different in terms of rapidity of local extension but similar in terms of nodal metastasis risk.
DOI: 10.17632/s6f9pgrw8v
title: Data for: Fueling Investments - The Effect of the Agreement on Basic Telecommunications

description: Stata code for data management and regressions.
DOI: 10.6084/m9.figshare.5129923.v1
title: Supplementary Material for: Free-Floating, Pigmented Cysts in the Anterior Chamber Causing Ocular Hypertension

description: <b><i>Purpose:</i></b> The aim of this study was to describe the clinical and histopathological features of a 36-year-old male with hundreds of recurrent, unilateral, free-floating, pigmented cysts in the anterior chamber causing ocular hypertension. <b><i>Procedures:</i></b> The patient was referred to ocular oncology for blurry vision of the right eye and was found to have myriad pigmented, free-floating cysts in the anterior chamber and heavy pigmentation of the angle on gonioscopy. Anterior chamber washout was performed, and the fluid recovered was sent for pathological analysis. <b><i>Results:</i></b> The pathology report demonstrated rare nonpigmented epithelial cells, more consistent with iris stromal cysts or secondary implantation epithelial cysts. <b><i>Conclusions:</i></b> This paper highlights the first documented case of innumerable spontaneously occurring, unilateral, free-floating, pigmented cysts in the anterior chamber. While clinical diagnosis suggested iris pigment epithelial cysts, pathology suggested iris stromal cysts or secondary implantation epithelial cysts.
DOI: 10.17632/5ykks3psks
title: Dataset on social media users' engagement with religious misinformation

description: This dataset comprises Facebook data on five cases of religious misinformation in Bangladesh. To the best of our knowledge, it is the first publicly accessible dataset on Facebook-based religious misinformation in the country, featuring 7,350 comments contributed by unique users. As online religious misinformation has been implicated in causing interreligious violence and tension in Bangladesh, this dataset can offer crucial insights into how social media is being exploited to foment such events. It may also help advance policy reform and activism to protect human rights and prevent the spread of religious misinformation.
DOI: 10.17632/y6nm3pj39r
title: A Dynamic Mechanical Analysis Device for in-situ Material Characterization of Plantar Soft Tissue

description: dataset for a dynamic mechanical analysis device for in-situ material characterization of plantar soft tissue
DOI: 10.6084/m9.figshare.21435132.v3
title: The Data of 'UAV Remote Sensing Monitoring of Yellow Leaf Disease of Arecanut'

description: The areca industry is one of the main sources of income in the Hainan Province of China, accounting for the income of nearly 2.3 million farmers. The areca yellowing disease is a highly infectious disease that has severely deteriorated the production and cultivation of areca. We did a study to apply the multispectral data obtained by using a UAV along with highresolution UAV remote sensing images to monitor the severity of the areca yellowing disease through five machine learning algorithms. The following is the data package of our research: 1.The data in the folder (Areca Vegetation Index) is the vegetation index calculated by the DJI Phantom 4 RTK to obtain the multi-spectral image and then import it into the DJI Terra software through the two-dimensional multi-spectral reconstruction. 2.The data in the folder (Machine Learning Classification) contains the vegetation index data of 200 sampling points of 603 areca trees, the vegetation index data of 57 areca trees and the identification results of the yellowing area, and the yellowing prediction training set of five machine learning methods and the predicted result. 3.The data in the folder (Model Accuracy Analysis) is the accuracy evaluation result of the correlation model between the LVV of areca and the severity of the Yellow Leaf Disease of Arecanut. 4.The data in the folder (The Severity of the Yellow Leaf Disease of Arecanut and LVV) is the prediction results of the severity of the yellow leaf disease of arecanut and the LVV measurement results of 603 areca trees in the research area. 5.The data in the folder (The Research Area DOM) is a digital orthophoto map of the research area. 6.The data in the folder (3D Point Cloud of the Areca(LAS)) is the 3D point cloud data of the research area, which is in LAS format. 7.The data in the folder (Figures) is the relevant illustration in the research paper.
DOI: 10.6084/m9.figshare.25481659.v1
title: Sidewalk_road_yolo_dataset.7z

description: <b>Dataset (Image) Collection:</b>A dataset of sidewalk and road images is downloaded from roboflow, which is an end-to-end computer vision platform that simplifies the process of building computer vision models.The dataset is a semantic segmentation dataset out of which only the images have been used to create a new dataset because the requirement of the project is to obtain sidewalk and road areas in terms of small bounding boxes, rather than overall bounding box.<br><b>b.</b><b> </b><b>Dataset Annotation</b>As for reasons stated in previous section, the images obtained have been annotated manually one by one using a tool, labelImg, which is a sophisticated open-source tool crafted for the purpose of annotating objects present in images. It streamlines the task of delineating bounding boxes around these objects and associating them with class labels. Individuals have the capability to sketch these bounding boxes, store annotations in file types such as PASCAL VOC, YOLO, or CreateML, and leverage them for a range of computer vision assignments. This Python-driven tool is adaptable across various platforms and is extensively employed by developers and researchers alike for the annotation of datasets and the training of models.
DOI: 10.6084/m9.figshare.25108460.v2
title: Data and R codes for Zvereva et al. (2024): “Does spatial variation in insect herbivory match variations in plant quality? A meta-analysis”

description: Variation in herbivore pressure at different temporal and spatial scales has often been predicted from patterns in plant traits considered as antiherbivore defences. Here, we tested whether spatial variation in field insect herbivory is associated with the variation in plant quality for herbivores by conducting a meta-analysis of 223 correlation coefficients between herbivory levels and the expression of selected plant traits. We found no overall correlation between herbivory and either concentrations of plant secondary metabolites or values of physical leaf traits. This result was due to both the large number of low correlations and the opposing directions of high correlations in individual studies. Field herbivory demonstrated a significant association only with nitrogen: herbivore pressure increased with an increase in nitrogen concentration in plant tissues. Thus, our meta-analysis does not support either theoretical prediction, i.e. that plants possess high antiherbivore defences in localities with high herbivore pressure or that herbivory is low in localities where plant defences are high. We conclude that information about putative plant defences is insufficient to predict plant losses to insects in field conditions and that the only bottom-up factor driving spatial variation in insect herbivory is plant nutritive value, i.e. foliar nitrogen concentration.
DOI: 10.6084/m9.figshare.29008121.v1
title: SRR3414630.uniq.sorted.bam.bai

description: WSHDGD
DOI: 10.6084/m9.figshare.3514466.v1
title: Appendix A. Analysis of population models with compensatory and overcompensatory recruitment.

description: Analysis of population models with compensatory and overcompensatory recruitment.
DOI: 10.17632/gxdp48sw73
title: Data for: Sea level-controlled sediment transport to the eastern Arabian Sea over the past 600 kyr: Clay minerals and Sr-Nd isotopic evidence from IODP Site U1457

description: Supporting Table S1 Clay mineral data of IODP Site U1457 since 600 kyr
DOI: 10.17632/zbdtzxcxvg
title: Seoul Bike Sharing Demand Prediction

description: Data include weather information (Temperature, Humidity, Windspeed, Visibility, Dewpoint, Solar radiation, Snowfall, Rainfall), the number of bikes rented per hour and date information.
DOI: 10.6084/m9.figshare.14248283.v2
title: Marine diazotrophs

description: A set of 48 genomes for marine diazotrophs.
DOI: 10.6084/m9.figshare.24563194.v1
title: <b>Fairy ring fungi are </b><b>ecosystem engineers</b><b> accelerating nitrogen cycling to promote plant productivity </b><b>in </b><b>grasslands</b>

description: Fairy rings are widespread features in grasslands worldwide, accompanied by lush dark-green vegetation bands. This enigmatic feature is caused by increased soil bioavailable nitrogen (N) due to the expansion of fairy ring fungi (FRF), mostly basidiomycetous fungi. However, little is known about how FRF enhance soil bioavailable N concentrations. Here, we conducted a survey of 35 fairy rings in temperate grasslands to reveal soil N cycling responses using amplicon and metagenomic sequencing. The presence of FRF accelerated organic N mineralization via promoting extracellular enzyme activity, leading to an 455% increase in ammonium-N. This further increased nitrification by favoring ammonia-oxidizing archaea. Denitrification and N fixation were not affected by FRF, thus not explaining the phenomenon. The enhanced bioavailable N strongly increased plant N content and productivity indicated by luxuriant vegetation. Our results suggest that FRF can act as ecosystem engineers shaping fairy rings by driving soil N cycling.