cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25402/cer.21362385.v1
title: Economic burden of complicated ureteral stent removal in patients with kidney stone disease in the USA: Supplementary Table 1

description: Aim: To examine the medical costs of simple versus complicated ureteral stent removal. Materials & methods: We included adults with kidney stones undergoing simple or complicated cystoscopy-based stent removal (CBSR) post ureteroscopy from the 2014 to 2018 Merative™ MarketScan R ? Commercial Database. The medical costs of patients with complicated and simple CBSR were compared. Results: Among 16,682 patients, 2.8% had complicated CBSR. Medical costs for patients with complicated CBSR were higher than for simple CBSR ($2182 [USD] vs $1162; p &lt; 0.0001). Increased stenting time, increased age, southern US geography and encrusted stent diagnoses were significantly associatedwith complicated CBSR. Conclusion: Complicated ureteral stent removal doubled the medical costs associated with CBSR. Ureteral stents with anti-encrustation qualities may reduce the need for complicated CBSR and associated costs.
DOI: 10.6084/m9.figshare.21360897
title: SupplementaryTables

description: Supplementaray table 1-7
DOI: 10.6084/m9.figshare.21360897.v1
title: SupplementaryTables

description: Supplementaray table 1-7
DOI: 10.6084/m9.figshare.21360120
title: Illumina sequencing data of carbapenem-resistant Klebsiella pneumoniae

description: This is a Illumina sequencing result of the carbapenem resistant Klebsiella pneumoniae
DOI: 10.6084/m9.figshare.21360120.v1
title: Illumina sequencing data of carbapenem-resistant Klebsiella pneumoniae

description: This is a Illumina sequencing result of the carbapenem resistant Klebsiella pneumoniae
DOI: 10.5281/zenodo.7225394
title: Supplementary Tables - Methane

description: Supplemental tables
DOI: 10.5281/zenodo.7225393
title: Supplementary Tables - Methane

description: Supplemental tables
DOI: 10.6084/m9.figshare.21360117.v1
title: 1D FILES

description: 1D Variables from CRM SAM for 8 cases of shear wind
DOI: 10.6084/m9.figshare.21360129
title: 2D FILES

description: 2d Varibales from CRM SAM for 8 cases of shear wind simulation
DOI: 10.6084/m9.figshare.21360129.v1
title: 2D FILES

description: 2d Varibales from CRM SAM for 8 cases of shear wind simulation
DOI: 10.6084/m9.figshare.21360117
title: 1D FILES

description: 1D Variables from CRM SAM for 8 cases of shear wind
DOI: 10.6084/m9.figshare.21360213
title: 3D_FILES for subcritical and critical

description: Data that support publication
DOI: 10.6084/m9.figshare.21360213.v1
title: 3D_FILES for subcritical and critical

description: Data that support publication
DOI: 10.6084/m9.figshare.21360396
title: 3D Files for supercritical regime

description: Data that support findings of publication
DOI: 10.34740/kaggle/dsv/4289421
title: RIWA Dataset
DOI: 10.5281/zenodo.7186070
title: TomoTwin Demonstration Dataset

description: This is a demo dataset for TomoTwin The ZIP file contains all necessary files for this demo. A readme.txt give instructions how to run it. The official documentation of TomoTwin can be found here: https://tomotwin-cryoet.readthedocs.io TomoTwin is open source and the code can be found on GitHub: https://github.com/MPI-Dortmund/tomotwin-cryoet
DOI: 10.5281/zenodo.7215502
title: TomoTwin Demonstration Dataset

description: This is a demo dataset for TomoTwin The ZIP file contains all necessary files for this demo. A readme.txt give instructions how to run it. More information can be found in the official documentation of TomoTwin. TomoTwin is open source and the code can be found on GitHub.
DOI: 10.5281/zenodo.7186069
title: TomoTwin Demonstration Dataset

description: This is a demo dataset for TomoTwin The ZIP file contains all necessary files for this demo. A readme.txt give instructions how to run it. More information can be found in the official documentation of TomoTwin. TomoTwin is open source and the code can be found on GitHub.
DOI: 10.5281/zenodo.7225386
title: TomoTwin Demonstration Dataset

description: This is a demo dataset for TomoTwin The ZIP file contains all necessary files for this demo. A readme.txt give instructions how to run it. More information can be found in the official documentation of TomoTwin. TomoTwin is open source and the code can be found on GitHub.
DOI: 10.5281/zenodo.7225388
title: hiodon_alosoides_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7225387
title: hiodon_alosoides_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.21360885
title: Paeonia ostii ( Fengdan ) Genome Sequence

description: Paeonia ostii Genome Sequence . Strain:fengdan
DOI: 10.5281/zenodo.7225349
title: Data & Figures for microforecast

description: Data & Figures for the manuscript "Forecasting of a complex microbial community using meta-omics".
DOI: 10.5281/zenodo.7225348
title: Data & Figures for microforecast

description: Data & Figures for the manuscript "Forecasting of a complex microbial community using meta-omics".
DOI: 10.6084/m9.figshare.21350664.v4
title: taxonomy.tsv

description: unassigned feature sequences
DOI: 10.6084/m9.figshare.7558790
title: Pre and post-processed data from multiple sources (RNA-seq/microrray, GTEx, TCGA, GEO, ArrayExpress) required for the analysis of extreme down-regulation of chromosome Y

description: Data required to perform all the analyses included in the knitr reproducible file Manuscript.Rnw.
DOI: 10.6084/m9.figshare.7558790.v3
title: Pre and post-processed data from multiple sources (RNA-seq/microrray, GTEx, TCGA, GEO, ArrayExpress) required for the analysis of extreme down-regulation of chromosome Y

description: Data required to perform all the analyses included in the knitr reproducible file Manuscript.Rnw.
DOI: 10.6084/m9.figshare.7558790.v2
title: Pre and post-processed data from multiple sources (RNA-seq/microrray, GTEx, TCGA, GEO, ArrayExpress) required for the analysis of extreme down-regulation of chromosome Y

description: Data required to perform all the analyses included in the knitr reproducible file Manuscript.Rnw.
DOI: 10.25403/upresearchdata.21317412
title: Geographical distribution of marama bean associated with fungal species and the investigation of the fungal diversity of marama bean

description: Data include figures, tables and protocols of the study. Figures 1 and 2 pertain to the geographical distribution of the marama bean (<em>Tylosema esculentum</em> and <em>T. fassoglense</em>), throughout southern Africa, according to herbarium specimens. Table 1 provides information regarding common known mycotoxins, there fungal producers, plant host, and known human, animal and plant toxicity. As well as the references pertaining to the table. Protocols 1-5 provide the molecular identification protocols followed during the study, including the Zymo Manufacturers guidelines for deoxyribonucleic acid (DNA) extraction, the quantities and cycling conditions requred for DNA amplification, cleanup and sequencing, as well as the protocol for sodium acetate-ethanol precipitation required before submitting samples for analysis. Table 2 provides the genus/species names of the fungal isolates isolated during the study, as well as the closest similarity match according to the NCBI GenBank and MycoBank databases, using the Internal Transcribed Spacer (ITS) region and Beta-tubulin (<em>BenA</em>) or the Translation elongation factor 1-α (<em>TEF</em>-1α) gene regions. Table 3 contains information related to all of the fungal DNA reference strains associated with the <em>Aspergillus</em>, <em>Penicillium </em>and <em>Fusarium </em>species isolated, used for the phylogenetic analysis of the three fungal genera. Table 4 indicates the results of detached leaf assays performed (images of the leaves), in which marama bean leaves were inoculated with various fungal species isolates and incubated to determine the pathogenic potential of fungal species. Table 5 provides a visual representation of the detached leaf assay, focusing on the number of plates/leaves per sample (total 3 per sample) that indicated disease symptoms related to the specific fungal species used to inoculate the leaves. Tables 6 and 7 provide the individual and average disease ratings per week per trial, over a six and five week period for Trials 1 and 2 respectively. A scoring system (0-20) was created to determine disease ratings across different symptoms produced by different fungal species. Tables 8 to 12 contain the above ground (stems and leaves) and below ground (roots and tubers), wet and dry weight measurements (grams) of the marama bean seedlings per fungal species' incoulated treatment after the pathogencity trials concluded, indicating the individual and average seedling weights.
DOI: 10.25403/upresearchdata.21317412.v1
title: Geographical distribution of marama bean associated with fungal species and the investigation of the fungal diversity of marama bean

description: Data include figures, tables and protocols of the study. Figures 1 and 2 pertain to the geographical distribution of the marama bean (<em>Tylosema esculentum</em> and <em>T. fassoglense</em>), throughout southern Africa, according to herbarium specimens. Table 1 provides information regarding common known mycotoxins, there fungal producers, plant host, and known human, animal and plant toxicity. As well as the references pertaining to the table. Protocols 1-5 provide the molecular identification protocols followed during the study, including the Zymo Manufacturers guidelines for deoxyribonucleic acid (DNA) extraction, the quantities and cycling conditions requred for DNA amplification, cleanup and sequencing, as well as the protocol for sodium acetate-ethanol precipitation required before submitting samples for analysis. Table 2 provides the genus/species names of the fungal isolates isolated during the study, as well as the closest similarity match according to the NCBI GenBank and MycoBank databases, using the Internal Transcribed Spacer (ITS) region and Beta-tubulin (<em>BenA</em>) or the Translation elongation factor 1-α (<em>TEF</em>-1α) gene regions. Table 3 contains information related to all of the fungal DNA reference strains associated with the <em>Aspergillus</em>, <em>Penicillium </em>and <em>Fusarium </em>species isolated, used for the phylogenetic analysis of the three fungal genera. Table 4 indicates the results of detached leaf assays performed (images of the leaves), in which marama bean leaves were inoculated with various fungal species isolates and incubated to determine the pathogenic potential of fungal species. Table 5 provides a visual representation of the detached leaf assay, focusing on the number of plates/leaves per sample (total 3 per sample) that indicated disease symptoms related to the specific fungal species used to inoculate the leaves. Tables 6 and 7 provide the individual and average disease ratings per week per trial, over a six and five week period for Trials 1 and 2 respectively. A scoring system (0-20) was created to determine disease ratings across different symptoms produced by different fungal species. Tables 8 to 12 contain the above ground (stems and leaves) and below ground (roots and tubers), wet and dry weight measurements (grams) of the marama bean seedlings per fungal species' incoulated treatment after the pathogencity trials concluded, indicating the individual and average seedling weights.
DOI: 10.25625/sfhrit/6qlhs6
title: 3 - script for figure 3.R

description: :unav
DOI: 10.25625/sfhrit/xmtmcj
title: rep_set_100_rooted.tre

description: :unav
DOI: 10.25625/sfhrit/8tqdjo
title: 5 - script for FB ratio analyses and figure 6.R

description: :unav
DOI: 10.25625/sfhrit/0iqelg
title: 4 - script for ANCOMBC figure 4-5.R

description: :unav
DOI: 10.25625/sfhrit/d6p5x5
title: otu_table_100.txt

description: :unav
DOI: 10.25625/sfhrit/zjx9yn
title: environment for figure 3.Rdata

description: :unav
DOI: 10.25625/sfhrit/tpud0c
title: environment for ANCOMBC.RData

description: :unav
DOI: 10.25625/sfhrit/he51f7
title: environment for FB ratio and figure 6.RData

description: :unav
DOI: 10.25625/sfhrit/tdf2mn
title: 1 - script main composition figure 2 panel AB.R

description: :unav
DOI: 10.25625/sfhrit/btyalt
title: envionment diversity analyses.RData

description: :unav
DOI: 10.25625/sfhrit/zodgac
title: environment for figure 2 panel AB.RData

description: :unav
DOI: 10.25625/sfhrit/xwie9n
title: 2 - script for diversity analyses and figure 2 panel C.R

description: :unav
DOI: 10.25625/sfhrit
title: Replication Data for: The long-term gut bacterial signature of a wild primate is associated with a timing-effect of pre- and postnatal maternal glucocorticoid levels

description: Contains the R-scripts and R-environments for the analyses and figures plotting of the manuscript: The long-term gut bacterial signature of a wild primate is associated with a timing-effect of pre- and postnatal maternal glucocorticoid levels
DOI: 10.57967/hf/0047
title: txoko
DOI: 10.5281/zenodo.7225480
title: Cálculo de los Índices Anuales de Congelamiento y Descongelamiento del aire en la Cordillera de San Juan (28° a 33°S), entre 1979 y 2010.

description: Estimación anual de los índices de congelamiento y descongelamiento del aire, cantidad anual de días con helada (<em>Frosting days</em>) y de días con frío (<em>Icing days</em>) para el sector cordillerano en la provincia de San Juan, Argentina (28° a 33°S), entre 1979 y 2010. La estimación espacial se llevó a cabo empleando el nivel de referencia a 2 m sobre el terreno de la grilla NCEP-CFSR. El Índice de Congelamiento del Aire (ICa o <em>AFI, Air Freezing Index</em>): es el valor absoluto de la sumatoria de la temperatura media diaria, del total de días para un periodo de tiempo cuya temperatura media es inferior a la del congelamiento del agua (0 °C). Expresado en (°C – día) El Índice de descongelamiento del aire (<em>IDa o ATI, Air Thawing Index</em>): se calcula de manera similar al ICa, sólo que se consideran aquellos días cuya temperatura media sea superior a 0 °C. El Número de días con frío (<em>Frosting days, FD</em>): es la sumatoria del número de días por año cuya temperatura mínima fue inferior a 0°C. El Número de días con helada o congelamiento (<em>Icing days, ID</em>): es el número anual de días cuya temperatura máxima fue inferior a 0°C. Para evaluar el predominio de condiciones de congelamiento/descongelamiento a lo largo del tiempo, se compararon los valores absolutos de los respectivos índices en el aire (ICa e IDa). La proporción ICa/IDa fue empleada como referencia: si ICa&gt;IDa prevalecen las condiciones frías durante el año, si ICa&lt;IDa prevalecen condiciones cálidas o de descongelamiento.
description: {"references": ["Tapia Baldis C. 2018. Distribuci\u00f3n y Caracter\u00edsticas del Ambiente Periglacial en el extremo oeste del departamento Calingasta, Provincia de San Juan, Argentina. (PhD Dissertation). Universidad Nacional de San Juan, Argentina. 390 pp. San Juan."]}
DOI: 10.5281/zenodo.7225479
title: Cálculo de los Índices Anuales de Congelamiento y Descongelamiento del aire en la Cordillera de San Juan (28° a 33°S), entre 1979 y 2010.

description: Estimación anual de los índices de congelamiento y descongelamiento del aire, cantidad anual de días con helada (<em>Frosting days</em>) y de días con frío (<em>Icing days</em>) para el sector cordillerano en la provincia de San Juan, Argentina (28° a 33°S), entre 1979 y 2010. La estimación espacial se llevó a cabo empleando el nivel de referencia a 2 m sobre el terreno de la grilla NCEP-CFSR. El Índice de Congelamiento del Aire (ICa o <em>AFI, Air Freezing Index</em>): es el valor absoluto de la sumatoria de la temperatura media diaria, del total de días para un periodo de tiempo cuya temperatura media es inferior a la del congelamiento del agua (0 °C). Expresado en (°C – día) El Índice de descongelamiento del aire (<em>IDa o ATI, Air Thawing Index</em>): se calcula de manera similar al ICa, sólo que se consideran aquellos días cuya temperatura media sea superior a 0 °C. El Número de días con frío (<em>Frosting days, FD</em>): es la sumatoria del número de días por año cuya temperatura mínima fue inferior a 0°C. El Número de días con helada o congelamiento (<em>Icing days, ID</em>): es el número anual de días cuya temperatura máxima fue inferior a 0°C. Para evaluar el predominio de condiciones de congelamiento/descongelamiento a lo largo del tiempo, se compararon los valores absolutos de los respectivos índices en el aire (ICa e IDa). La proporción ICa/IDa fue empleada como referencia: si ICa&gt;IDa prevalecen las condiciones frías durante el año, si ICa&lt;IDa prevalecen condiciones cálidas o de descongelamiento.
description: {"references": ["Tapia Baldis C. 2018. Distribuci\u00f3n y Caracter\u00edsticas del Ambiente Periglacial en el extremo oeste del departamento Calingasta, Provincia de San Juan, Argentina. (PhD Dissertation). Universidad Nacional de San Juan, Argentina. 390 pp. San Juan."]}
DOI: 10.5519/qd.n73a3okk
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (77 records)
DOI: 10.34740/kaggle/dsv/4352967
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.7225553
title: Michael Jackson Singles & EPs

description: Michael Jackson Singles & EPs
DOI: 10.5281/zenodo.7225552
title: Michael Jackson Singles & EPs

description: Michael Jackson Singles & EPs
DOI: 10.5281/zenodo.7128496
title: MGH_Exp1_ Caecum_Day 7

description: MGH EXp1 sequencing data from run NAMES01.
DOI: 10.5281/zenodo.7128495
title: MGH_Exp1_ Caecum_Day 7

description: MGH EXp1 sequencing data from run NAMES01.
DOI: 10.48420/21362598
title: Thermogravimetric Analysis (TGA) of freeze-dried MXene - TA Q500

description: Perform TGA of powder Ti3C2 MXene to comprehend its thermal stability of terminating groups and core structure
DOI: 10.48420/21362598.v1
title: Thermogravimetric Analysis (TGA) of freeze-dried MXene - TA Q500

description: Perform TGA of powder Ti3C2 MXene to comprehend its thermal stability of terminating groups and core structure
DOI: 10.7294/20161580
title: Disruptive Role of Vertical Land Motion in Future Assessments of Climate Change-Driven Sea Level Rise and Coastal Flooding Hazards in the Chesapeake Bay

description: Inundation projections from Sea Level Rise (SLR), Vertical Land Motion (VLM), and storm surge for hurricane Isabel at climate scenarios namely Shared Socioeconomic Pathways (SSPs) 1-1.9, 1-2.6, 2-4.5, 3-7.0 and 5-8.5 at three-time scales (2030-2050-2100) at medium confidence, median values, likely ranges upper and lower (for three selected SSPs: see below) are provided. Additionally, the inundated area from SLR, Subsidence at SSP 1-2.6 and 5-8.5 for likely ranges (upper and lower) at low confidence scenarios are provided. <br> Sentinel-1 and ALOS data from 2007-2020 are processed used WabInSAR algorithm. We use future SLR scenarios from the Sixth Assessment Report (AR6) following SSPs adopted by the IPCC for projection periods of 2030, 2050 till 2100, relative to a baseline of 1995-2014 with medium confidence and low confidence. <br> Anyone wishing to use this dataset should cite Sherpa et al. 2022) and contact Sonam Futi Sherpa at sfsherpa@vt.edu for any questions with details of their work, so that we may offer guidance in regards to the best usage of our produced inundation scenarios dataset. <br>
DOI: 10.7294/20161580.v2
title: Disruptive Role of Vertical Land Motion in Future Assessments of Climate Change-Driven Sea Level Rise and Coastal Flooding Hazards in the Chesapeake Bay

description: Inundation projections from Sea Level Rise (SLR), Vertical Land Motion (VLM), and storm surge for hurricane Isabel at climate scenarios namely Shared Socioeconomic Pathways (SSPs) 1-1.9, 1-2.6, 2-4.5, 3-7.0 and 5-8.5 at three-time scales (2030-2050-2100) at medium confidence, median values, likely ranges upper and lower (for three selected SSPs: see below) are provided. Additionally, the inundated area from SLR, Subsidence at SSP 1-2.6 and 5-8.5 for likely ranges (upper and lower) at low confidence scenarios are provided. <br> Sentinel-1 and ALOS data from 2007-2020 are processed used WabInSAR algorithm. We use future SLR scenarios from the Sixth Assessment Report (AR6) following SSPs adopted by the IPCC for projection periods of 2030, 2050 till 2100, relative to a baseline of 1995-2014 with medium confidence and low confidence. <br> Anyone wishing to use this dataset should cite Sherpa et al. 2022) and contact Sonam Futi Sherpa at sfsherpa@vt.edu for any questions with details of their work, so that we may offer guidance in regards to the best usage of our produced inundation scenarios dataset. <br>
DOI: 10.14457/nida.the.2021.4
title: วาทกรรมการตีตราผู้อยู่ร่วมกับเชื้อเอชไอวีเกย์ในสื่อออนไลน์ประเทศไทย ผลกระทบ และแนวทางการแก้ปัญหา
DOI: 10.14457/nida.the.2021.5
title: กลยุทธ์การสื่อสารและปัจจัยที่ส่งผลต่อการตัดสินใจศึกษาต่อระดับบัณฑิตศึกษาในมหาวิทยาลัยเปิดยุคดิจิทัล
DOI: 10.14457/nida.the.2021.6
title: ประเด็นท้าทายเกี่ยวกับคุ้มครองสิทธิบัตรหน่วยพันธุกรรมมนุษย์เพื่อการรักษาโรค
DOI: 10.14457/nida.the.2021.7
title: The analysis of fear in dystopian films in the early 21st century
DOI: 10.14457/nida.the.2021.8
title: The model of success factors affecting consumer purchase intention by video advertising via online influencers
DOI: 10.14457/nida.the.2021.9
title: การปรับตัวของกระบวนการสร้างสรรค์ภาพยนตร์โฆษณาในยุค Digital disruption
DOI: 10.14457/nida.the.2021.10
title: The journeys of capital accumulation, transformation, extension and communication strategies for the image-making of Thai marathon running celebrities
DOI: 10.14457/nida.the.2021.11
title: Digital literacy of the aviation labour force in Eastern economic corridor
DOI: 10.14457/nida.the.2021.12
title: การนำหลักการกำกับดูแลกิจการที่ดีมาใช้ในการพัฒนากฎหมายบริษัทจำกัดในประเทศไทย
DOI: 10.14457/nida.the.2021.13
title: มาตรการทางกฎหมายเพื่อการจัดการซากผลิตภัณฑ์เครื่องมือและอุปกรณ์ทางการแพทย์ของโรงพยาบาลในประเทศไทย
DOI: 10.14457/nida.the.2021.14
title: ปัญหาการบังคับใช้พระราชบัญญัติคณะสงฆ์ พ.ศ. 2505
DOI: 10.14457/nida.the.2021.15
title: การคุ้มครองสิ่งบ่งชี้ทางภูมิศาสตร์ กรณีที่มีการย้ายถิ่นที่อยู่ของคนในชุมชน
DOI: 10.25500/edata.bham.00000863
title: Research data supporting the publication "Influence of Lipid Backbone on Electrochemical Phase Behaviour"
DOI: 10.5281/zenodo.7225577
title: Json file from Twitter API used for benchmarking Jsonpath

description: A JSON file used as an example to illustrate queries and to benchmark some tool.
DOI: 10.5281/zenodo.7225576
title: Json file from Twitter API used for benchmarking Jsonpath

description: A JSON file used as an example to illustrate queries and to benchmark some tool.
DOI: 10.6084/m9.figshare.21362616
title: Genomic mating using three-way crossbred pigs

description: The dataset was used for genomic mating on DLY three-way crossbred pigs.
DOI: 10.20375/0000-000f-7470-0
title: CR1221DIF_media.sav
DOI: 10.20375/0000-000f-7471-f
title: CR1221DIF_media.xlsx
DOI: 10.20375/0000-000f-7472-e
title: Documentation-Data-Collection.pdf