cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12654305.v3
title: ANCA-GN scRNA data

description: single cell RNA-seq analysis of kidney T cells from patients with ANCA-associated glomerulonephritis.Raw fastq files for the human samples, please see GSE270533The publication of the data is https://www.science.org/doi/10.1126/sciimmunol.aba4163<br>
DOI: 10.6084/m9.figshare.21158728.v1
title: ReplicationPacketforMcInerney_etal_2020.docx

description: Replication Package for McInerney, M., Winecoff, R., Ayyagari, P., Simon, K. and Bundorf, M.K., 2020. ACA Medicaid expansion associated with increased Medicaid participation and improved health among near-elderly: Evidence from the Health and Retirement Study. <em>INQUIRY: The Journal of Health Care Organization, Provision, and Financing</em>, <em>57</em>, p.0046958020935229. <br> funded under NIH 5R03AG059110-02
DOI: 10.6084/m9.figshare.25330087.v1
title: Supplementary Material for: Risk Factors for Potential Drug-Drug Interactions in Patients on Chronic Peritoneal Dialysis

description: Introduction: The prevalence of potential drug-drug interactions (pDDIs) is becoming a major safety concern, as it has been previously linked to a significant number of adverse drug events and could have serious consequences for patients, including death. This is especially relevant for patients with chronic renal failure, as they are particularly vulnerable to drug-drug interactions. The aim of this study is to evaluate the prevalence and associated factors of pDDIs in patients receiving chronic peritoneal dialysis.
Methods: An observational, cross-sectional study was conducted on consecutive peritoneal dialysis patients attending four tertiary-care hospitals for regular monthly examination. The primary outcome was the number of pDDIs identified using Lexicomp. Potential predictors were determined using multiple linear regression.
Results: Total number of patients included in the study was 140. The results showed that pDDIs were highly prevalent, especially in patients who use antiarrhythmics (p=0.001), have diabetes mellitus (p=0.001), recently started peritoneal dialysis (p=0.003) or have higher number of prescribed drugs (p&lt;0.001). Number of prescribed drugs (p&lt;0.001) remained a significant predictor of high-risk pDDIs in addition to the female gender (p=0.043). 
Conculsion: In conclusion, clinicians should be particularly cautious when prescribing multiple medications to high-risk patients, such as peritoneal dialysis patients, to mitigate the risk of drug-drug interactions and associated adverse health outcomes.
DOI: 10.6084/m9.figshare.26396509.v3
title: Multimodal Large Language Models (LLMs) as Built Environment Auditing Tools

description: Data and Code: "Multimodal Large Language Models (LLMs) as Built Environment Auditing Tools"
DOI: 10.6084/m9.figshare.6635489.v1
title: Dataset

description: The goal of this experiment was to determine effect of trust towards the source of information, effect of importance of the issue and ultimately the interaction of these factors on the level of information target sought.
DOI: 10.6084/m9.figshare.20278377.v1
title: Comparative LCA PKS-Coal-Natural Gas - data.xlsx

description: Calculation of impact assessment
DOI: 10.6084/m9.figshare.8283539.v1
title: CO-ARBitrator Rev2 README

description: 17 June 2019: Revision 2 of the CO-ARBitrator data set is available. It is based on a March 21 2019 snapshot of GenBank, and contains 1,286,434 records of which 249,002 are new since the original revision.<br>The release consists of 4 files: a nucleotide fasta, an incremental nucleotide fasta, an amino acid fasta, and a TSV table. In the TSV table, each row describes a sequence and provides nucleotide and amino acid accession #s and sequences as well as taxonomy.<br><br>The defline format of the fasta files has been changed since the original release, hopefully for the better! In rev 1, deflines contained taxonomy copied verbatim from sequence record pages. These taxonomies are lists of values without rank identifiers; intermediate ranks (e.g. suborder or infraorder) may or may not be present. <br>In rev 2, wherever possible, the taxonomy in the fasta deflines has been retrieved from the NCBI taxonomy browser. Where taxonomy is not available, it is deduced from the "organism" field of the sequence's NSBI record.<br>Example defline:<br> p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Menlo; color: #000000; background-color: #ffffff} span.s1 {font-variant-ligatures: no-common-ligatures} &gt;AAG37251|Litoria_nannotis|K_Metazoa__P_Chordata__C_Amphibia__O_Anura__F_Hylidae__G_Litoria__S_nannotis<br>The format is:&gt;Accession|Binomial|TaxonomyTaxonomic ranks are labeled by the first letter of the rank. In the example above, the kingdom (K) is Metazoa, the phylum (P) is Chordata, etc.<br><br>Please address questions, comments, or requests to Phil Heller at philip.heller@sjsu.edu.
DOI: 10.6084/m9.figshare.28247894.v1
title: 전이성 1을 상수가 아닌 수식과 비교 (2) (2) (1).docx

description: 에르되시 스트라우스 추측에 대한 증명입니다.
DOI: 10.17632/3s368jpdx2
title: Open-source modelling of aerosol dynamics and computational fluid dynamics: Nodal method for nucleation, coagulation, and surface growth

description: Understanding formation, growth and transport of aerosols is critical to processes ranging from cloud formation to disease transmission. In this work, a numerical algorithm of aerosol dynamics including nucleation, coagulation, and surface growth was coupled with flow and heat transfer equations enabling the solution of three-dimensional multi-physics aerosol processes in an open-source platform. The general dynamic equation was solved by a nodal method where the particle size distribution was represented by a finite number of nodes. The models were verified by comparing four test cases, (1) pure coagulation, (2) nucleation and coagulation, (3) pure surface growth, and (4) a general dynamic equation that includes the three mechanisms provided in literature. A high temperature aerosol flow in a cooled pipe is chosen as a tutorial case of coupled computational aerosol and fluid dynamics. The aerosolGDEFoam code is available at https://openaerosol.sourceforge.io and can be further modified under GNU general public licence.
DOI: 10.17632/kh5pzmdbhs
title: Illicit Drugs, Cannabis, and Psoriasis in the United States: National Health and Nutrition Examination Survey (JAAD Supplemental Material)

description: Illicit Drugs, Cannabis, and Psoriasis in the United States: National Health and Nutrition Examination Survey (JAAD Supplemental Material)
DOI: 10.6084/m9.figshare.15141660.v1
title: TableS2

description: CellRanger ATAC output summary of each sample.
DOI: 10.6084/m9.figshare.25027805.v1
title: Supplementary Material for: The role of multiparametric MRI (mpMRI) in the prediction of adverse prostate cancer pathology in radical prostatectomy specimen

description: Introduction: 
Prostate cancer (PCa) risk stratification is essential in guiding therapeutic decision. Multiparametric magnetic resonance tomography (mpMRI) holds promise in prediction of adverse pathologies (AP) after prostatectomy (RP). This study aims to identify clinical and imaging markers in the prediction of adverse pathology.

Methods:
Patients with PCa, diagnosed by targeted biopsy after mpMRI and undergoing RP were included. The predictive accuracy of mpMRI for extraprostatic extension (ECE), seminal vesicle infiltration (SVI) and lymph node positivity was calculated from the final histopathology.

Results: 
846 patients were involved. Independent risk parameters include imaging findings as ECE (OR 3.12), SVI (OR 2.55) and PI-RADS scoring (4: OR 2.01 and 5: OR 4.34). mpMRI parameters such as ECE, SVI and lymph node metastases showed a high prognostic accuracy (73.28% vs. 95.35% vs. 93.38%) with moderate sensitivity compared to the final histopathology. The ROC-analysis of our combined scoring system (D’Amico classification, PSA density and MRI risk factors) improves prediction of adverse pathology (AUC 0.73 vs. 0.69). 

Conclusion:
Our study supports the use of mpMRI for comprehensive pre-treatment risk assessment in PCa. Due to the high accuracy of factors like ECE, SVI and PI-RADS scoring, utilizing mpMRI data enabled accurate prediction of unfavourable pathology after RP.
DOI: 10.6084/m9.figshare.27951999.v1
title: Supplementary Material for: Post-Stroke Osteoporosis Screening: A Scoping Review

description: Abstract
Introduction: There are no specific screening recommendations for post-stroke osteoporosis despite evidence that people post-stroke are at heightened risk of fragility fractures. Our objective was to explore the extent of evidence and map the current literature available for osteoporosis screening in the post-stroke population.
Methods: This scoping review searched for articles in Medline, Embase, and CINAHL databases published in English before May 2024, involving osteoporosis screening for adults after stroke. Title and abstract screening as well as full text review and data extraction was performed by two reviewers. Analysis of the studies is descriptive and narrative.
Results: Eight articles met inclusion criteria: five published articles and three peer-reviewed conference abstracts. Three study designs were utilized: four cross-sectional studies, three cohort studies, and one survey. Four studies investigated post-stroke osteoporosis screening rates, two looked at screening pathways for post-stroke osteoporosis, and two assessed novel osteoporosis screening tools. No post-stroke osteoporosis screening guidelines were found. Across all included studies, reported screening rates for post-stroke osteoporosis were less than 10%. 
Conclusions: This scoping review emphasizes the need for osteoporosis screening guidelines and risk assessment tools specific to the post-stroke population.
DOI: 10.6084/m9.figshare.3520646.v1
title: Appendix A. All bird species detected and their abundances from 2011–2013 at the Tallgrass Prairie Preserve, Oklahoma, USA.

description: All bird species detected and their abundances from 2011–2013 at the Tallgrass Prairie Preserve, Oklahoma, USA.
DOI: 10.6084/m9.figshare.12453521.v1
title: UKMOG keratitis Pseudomonas aeruginosa isolate list

description: Information on the origins of UGMOG keratitis isolates used in this study
DOI: 10.6084/m9.figshare.17118653.v1
title: Raw Data Processing Codes

description: These codes process the raw wind tunnel data from the gapped wings. Run before the Data Comparison codes.
DOI: 10.17632/7wj38zdd58
title: Dataset: Version [1.1]- [pymcdm – The universal library for solving multi-criteria decision-making problems]

description: Dataset from Version [1.1]- [pymcdm – The universal library for solving multi-criteria decision-making problems]
DOI: 10.6084/m9.figshare.16653049.v2
title: spatial_timeseries_landcover

description: See README
DOI: 10.21233/wycp-q810
title: Yura River ostracode surface sample dataset

description: Raw data for the Yura River ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.12560216.v1
title: Drought variability over CONUS for the past century

description: This project stores data for the paper "Drought variability over the conterminous United States for the past century".<br>Here we show monthly averaged total column soil moisture for diferent experiments and water in aquifer for groundwater run over 1915-2018 in *.tar.gz<br>We show monthly averaged soil moisture in four different layers for different experiments over 1915-2018 in *.SM.layers.tar.gz<br><br>Ucompressed data files are in netcdf formatThe variables in the netcdf files areSMW:total column soil moistureWA : water in aquiferSoil_liquid: soil moisture in four different layers<br>the five experiments are:<br>BASE: baselineGW:groundwater runDYVEG2:dynamic vegetation phenology 2DYVEG5:dynamic vegetation phenology 5DVGW: dynamic vegetation phenology 2+grounwater<br>
DOI: 10.6084/m9.figshare.26819929.v1
title: Third party imitation is not restricted to humans

description: Third party imitative learning of intransitive actions in macaws
DOI: 10.6084/m9.figshare.27157722.v1
title: Supplemental Material: detrital zircon U-Pb ages and Lu-Hf isotopes in the early Carboniferous terrigenous rocks of the Laval basin (Armorican Massif, France)

description: We provide the results of detrital zircon U-Pb ages and Lu-Hf isotopes in the early Carboniferous sedimentary deposits of the Laval basin in the north part of the Armorican Massif, aiming to clarifying the tectonic and geodynamic evolution of the Armorica microcontinent.
DOI: 10.17632/dxm5p27j82
title: FACILE SURFACE STRUCTURATION OF 3D-PRINTED SUBSTRATE

description: Compilation of selected raw files and data used in the publication work "FACILE SURFACE STRUCTURATION OF 3D-PRINTED SUBSTRATE"
DOI: 10.25402/pgs.19519765.v1
title: Pharmacogenetics of clopidogrel and warfarin in the treatment of cardiovascular diseases: an overview of reviews: supplementary data

description: Search
 strategy – Pubmed
 Table
 S1. General characteristics and strategies of the included systematic
 reviews.
 <b>Table S2.</b> Methodological
 quality of included systematic reviews, according to AMSTAR-2.
DOI: 10.6084/m9.figshare.15167709.v4
title: Data for IOBM/IOD experiments using WACCM4

description: For more detailed information, please see readme.txt
DOI: 10.6084/m9.figshare.25981450.v16
title: 2020-2021 Changjiang estuary dissolved oxygen isotopic compositions and results of Monte-Carlo Mixing experiment

description: Understanding the complex processes driving oxygen depletion is challenging. The nonlinear relationship between dissolved oxygen (DO) isotopic composition (δ<sup>18</sup>O ) and its concentration makes δ<sup>18</sup>O a unique tracer for studying O2 cycling in oxygen depletion zones. Based on the DO δ<sup>18</sup>O compositions from four cruises conducted from summer 2020 to spring 2021 in the Changjiang Estuary, we identified a dynamic northern oxygen depletion zone (NODZ) with seasonally varying DO δ<sup>18</sup>O values, and a relatively stable southern oxygen depletion zone (SODZ). To quantify the contributions of low oxygen water mixing and respiration to oxygen depletion, we conducted a Monte-Carlo mixing experiment involving high salinity and low oxygen water (HSLO) and mixed layer water (MLW). Our findings indicated that during summer of 2020, HSLO mixing contributed to 59% to 100% of oxygen deficit in oxygen depletion zones, with SODZ exhibiting a HSLO mixing contribution of more than 78%. Respiration contributed to the remaining oxygen deficit, with water column respiration consuming approximately 2.5 times more oxygen than sediment oxygen consumption. In the NODZ, oxygen depletion was further enhanced by water column stratification, respiration and seafloor topography. Overall, the influx of HSLO was a key trigger for oxygen depletion in the Changjiang Estuary. The spatial and temporal variations of the two oxygen depletion zones were closely linked to the intrusion and retreat of HSLO from summer to autumn. Our findings highlight the importance of utilizing DO δ<sup>18</sup>O to differentiate and quantify biological and physical processes in coastal oxygen depletion zones.File description：Table S1: Data for this study, including latitude and longitude, sampling depth, temperature, salinity, δO<sub>2</sub>/Ar,δ<sup>18</sup>O,[O<sub>2</sub>],[O<sub>2</sub>]/[O<sub>2</sub>]<sub>sat</sub>, densityTable S3: The results of Monte-Carlo mixing experiments in all samples beneath mixed layer: the fraction of HSLO in different water masses, [O<sub>2</sub>] and δ<sup>18</sup>O after mixing from Monte-Carlo mixing experiment. Oxygen depletion caused by mixing and total oxygen depletion. The contribution of mixing and respiration to oxygen deficit. The apparent respiration fractionation factor and the proportion of WCR and SOC to oxygen deficit as well as the observed salinity, [O<sub>2</sub>] and δ<sup>18</sup>O beneath the mixed layer<br><br>
DOI: 10.6084/m9.figshare.25231622.v1
title: Supplementary Material for: Global Economic Evaluation of the Reported Costs of Deep Brain Stimulation

description: Introduction: Despite the known benefits of Deep Brain Stimulation (DBS), the cost of the procedure can limit access and can vary widely. Our aim is to conduct a systematic review and meta-analysis of the reported costs associated with DBS, as well as the variability in reporting cost-associated factors to ultimately increase patient access to this therapy.

Methods: A systematic review of the literature for cost of DBS treatment was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed and Embase databases were queried. Olsen & Associates (OANDA) was used to convert all reported rates to USD. Cost was corrected for inflation using the US Bureau of Labor Statistics Inflation Calculator, correcting to April 2022.

Results: Twenty-six articles on the cost of DBS surgery from 2001 to 2021 were included. The median number of patients across studies was 193, the mean reported age was 60.5+5.6 years, and median female prevalence was 38.9%. The inflation and currency adjusted mean cost of the DBS device was $21,496.07+8,944.16, the cost of surgery alone was $14,685.22+8,479.66, the total cost of surgery was $40,942.85+17,987.43, and the total cost of treatment until one year of follow-up was $47,632.27+23,067.08. There were no differences in costs observed across surgical indication or country.

Conclusion: Our report describes the large variation in DBS costs and the manner of reporting costs. This lack of standardization impedes productive discourse, as comparisons are hindered by both geographic and chronological variations. Emphasis should be put on standardized reporting and analysis of reimbursement costs to better assess the variability of DBS-associated costs to make this procedure more cost-effective and address areas for improvement in order to increase patient access to DBS.
DOI: 10.6084/m9.figshare.25733772.v1
title: Photo app and GBIF data of Austrian butterflies (Lepidoptera, Papilionoidea)

description: <i>Data sets</i>This data base contain photo app and GBIF data on Austrian butterflies (Lepidoptera, Papilionoidea) of the families Hesperiidae, Lycaenidae, Nymphalidae, Papilionidae, Pieridae, and Riodinidae. The Austrian Red List of Butterflies (Höttinger & Pennerstorfer 2005) contains 215 recorded (nominal) species. We also included the invasive species <i>Cacyreus marshalli</i>, adding to a total of 216 species ever recorded in Austria. We adjusted the nomenclature to Huemer (2013). We note that this compilation lists 211 species with established status after eliminating alleged synonyms and misidentifications. <i>GBIF Austria</i> (https://www.gbif.at/home/) is the state data GBIF hub for Austrian faunistic records. As the GBIF set is fed by several local scientific partners, natural history museums, and experts, it comprises the most complete expert data on Austrian fauna available, but with taxonomic issues in particular of older data (i.e. pre-1980) are evident. The data contain 319,704 records stored for Austria. We selected 273,937 records, for which sample date and sample site at least at the Federal State level were available (Table 1). Records cover the time period 1802‒2023. <i>Observation.org</i> (below obs.org) is an EU-based platform for biodiversity citizen science and monitoring (https://observation.org/). Several tens of thousands citizen scientists and professional users contribute geo-referenced observations via a smartphone app; each observation becomes subsequently validated by an expert. We retrieved 54,040 single records contributed by 3246 users covering the years 2010–2023.<i>iNaturalist</i> (https://www.inaturalist.org/) is an US-based naturalist site founded in 1968 and hosting a large observation data base contributed by citizen scientists and amateur naturalists. Part of iNat data is contained in GBIF. The present data contain 30,571 single geo-referenced and dated records contributed by 252 users covering the years 2010–2023.Finally, we retrieved 301,072 single geo-referenced records (years 2016–2022, including 241 records since 2002) from the initiative <i>Blühendes Österreich</i> (English: Flowering Austria; https://www.bluehendesoesterreich.at/; below BO; Table 1). BO is a biodiversity and sustainability foundation hosting a Citizen Science project of faunal recording via a smartphone app with more than 20,000 users. The BO data do not overlap in record identity with the other data bases. All data were retrieved during the first two weeks of February 2024.
DOI: 10.6084/m9.figshare.10072628.v1
title: Data for GWG-EG.xlsx

description: Data for gender wage gap/economic growth.
DOI: 10.17632/2rrn8ngvsz
title: Tumor-Associated Schwann Cell Remodeling under Metabolic Stress via Lactate Sensing Orchestrates

description: Diabetes mellitus (DM) is a known risk factor for pancreatic cancer, but the underlying mechanisms remain elusive. Using in vivo models of diabetes-driven pancreatic tumorigenesis and metabolomics analysis, we demonstrate that metabolic stress induced by DM promotes pancreatic cancer progression by remodeling tumor-associated Schwann cells (TASs), impairing CD8+ T cell function. We discover that Mettl16+ Cd276+ Nectin2+ Schwann cells play a crucial role in mediating the pro-carcinogenic effects of lactate. Remodeled METTL16+ Schwann cells secret immune evasion factors (CD276, NECTIN2), contributing to anti-PD1 resistance. Furthermore, rosuvastatin was identified in this study as a novel METTL16 inhibitor for pancreatic cancer under metabolic stress. In conclusion, our study underscores the critical role of lactate in the metabolic reprogramming of pancreatic cancer mediated by Schwann cell remodeling, revealing novel pathways for therapeutic intervention.
DOI: 10.6084/m9.figshare.14036528.v4
title: Data for Fisman et al., Test-Adjusted Incidence of COVID-19 in Ontario

description: These represent aggregate case and test counts, and population estimates, for Ontario, Canada during the 2019-2021 COVID-19 pandemic. The data include tests and cases from March 1, 2020 to December 8, 2020. Data are aggregated at the daily, weekly, seasonal, and overall levels. The first page of the dataset contains a data dictionary.
DOI: 10.17637/rh.23736189.v1
title: Raw data for ethnopharmacological paper

description: Raw data files for our ethnopharmacological paper, including a readme file.
DOI: 10.15468/dl.q8469j
title: Occurrence Download

description: A dataset containing 1093786 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "Year is 2002",
 "Month is August"
 ]
}

 The dataset includes 1093786 records from 1265 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009369-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yr3vhbtbmr
title: Awareness of Gym safety equipments among Gym trainee: A survey study

description: Any skeletal muscle-driven motion that requires energy expenditure is considered physical exercise. Physical activity helps slow the incidence of chronic conditions like diabetes, cancer, stroke, and hypertension. Gym use are the most popular exercise has been noticed among everyone, not just young people. Unfortunately, all types of physical activity include the potential of injury.