cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13906643
title: Atmosphere Interaction Research

description: Data collected for our atmosphere-coastal ocean experiment at the Centre for Marine and Coastal Studies (CEMACS) USM, Pulau Pinang, Malaysia<br>Coordinates: 5.49 N, 100.2025 EDuration: 2015-11-12 until 2021-02-10https://atmosfera.usm.my/api.html<br>
DOI: 10.6084/m9.figshare.13906643.v2
title: Atmosphere Interaction Research

description: Data collected for our atmosphere-coastal ocean experiment at the Centre for Marine and Coastal Studies (CEMACS) USM, Penang, Malaysia
DOI: 10.6084/m9.figshare.14038334
title: Supplementary Material for: International Observational Survey of the Effectiveness of Personal Protective Equipment during Endoscopic Procedures Performed in Patients with COVID-19

description: <b><i>Introduction and Aims:</i></b> This international survey was performed to evaluate the cumulative incidence of nosocomial novel coronavirus disease 2019 (COVID-19) among healthcare professionals during endoscopic procedures. <b><i>Methods:</i></b> We performed an international web-based self-reported questionnaire survey. Participants completed the questionnaires every week for 12 weeks. The questionnaire elicited responses regarding the development of COVID-19 and details of the personal protective equipment (PPE) used. <b><i>Results:</i></b> All 483 participants were included in the analysis. Participants had a mean age of 42.3 years and comprised 68.3% males. The geographic distribution of the study population was Asia (89.2%), Europe (2.9%), North and South America (4.8%), Oceania (0.6%), and Africa (1.5%). The most common endoscopy-related role of the participants was endoscopist (78.7%), and 74.5% had &gt;10 years of experience. Fourteen participants had performed 83 endoscopic procedures in patients positive for COVID-19. During the mean follow-up period of 4.95 weeks, there were no cases of COVID-19 when treating COVID-19 positive patients. The most common PPE used by participants treating patients with COVID-19 was a surgical mask plus N95 mask plus face shield, goggles, cap, long-sleeved isolation gown, and single pair of gloves. The most common PPE used by participants treating patients without COVID-19 was a surgical mask, no face shield but goggles, cap, long-sleeved isolation gown, and single pair of gloves during all endoscopic procedures. <b><i>Conclusions:</i></b> The risk of COVID-19 transmission during any endoscopic procedure was low in clinical practice.
DOI: 10.6084/m9.figshare.13725451
title: Novel laparoscopic uterine-sparing surgery / gonadotro-pin-releasing hormone agonist combination therapy for uterine focal adenomyosis

description: Laparoscopy was implemented in all study patients, with strict abiding of the basic principles of reproductive surgery in order to minimize healthy uterine tissue trauma and preserve endometrial integrity throughout the surgical procedure<br><br>
DOI: 10.6084/m9.figshare.13725451.v1
title: Novel laparoscopic uterine-sparing surgery / gonadotro-pin-releasing hormone agonist combination therapy for uterine focal adenomyosis

description: Laparoscopy was implemented in all study patients, with strict abiding of the basic principles of reproductive surgery in order to minimize healthy uterine tissue trauma and preserve endometrial integrity throughout the surgical procedure<br><br>
DOI: 10.6084/m9.figshare.14038364
title: Supplementary Material for: Outcomes in Living Donor Kidney Transplantation: The Role of Donor’s Kidney Function

description: <b><i>Introduction:</i></b> Living donor kidney transplant (LDKT) is one of the best therapeutic options for end-stage kidney disease (ESKD). Guidelines identify different estimated glomerular filtration rate (eGFR) thresholds to determine the eligibility of donors. The aim of our study was to evaluate whether pretransplant donor eGFR was associated with kidney function in the recipient. <b><i>Methods:</i></b> We retrospectively studied LDKT recipients who received a kidney graft between September 1, 2005, and June 30, 2016 in the same transplant center in France and that had eGFR data available at 3, 12, 24, and 36 months posttransplant. <b><i>Results:</i></b> We studied 90 donor-recipient pairs. The average age at time of transplant was 51.47 ± 10.95 for donors and 43.04 ± 13.52 years for recipients. Donors’ average eGFR was 91.99 ± 15.37 mL/min/1.73 m<sup>2</sup>. Donor’s age and eGFR were significantly correlated (<i>p</i> &lt; 0.0001, <i>r</i><sup>2</sup> 0.023). Donor’s age and eGFR significantly correlated with recipient’s eGFR at 3, 12, and 24 months posttransplant (age: <i>p</i> &lt; 0.001 at all intervals; eGFR <i>p</i> = 0.001, 0.003, and 0.016, respectively); at 36 months, only donor’s age significantly correlated with recipient’s eGFR. BMI, gender match, and year of kidney transplant did not correlate with graft function. In the multivariable analyses, donor’s eGFR and donor’s age were found to be associated with graft function; correlation with eGFR was lost at 36 months; and donor’s age retained a strong correlation with graft function at all intervals (<i>p</i> &lt; 0.001). <b><i>Conclusions:</i></b> Donor’s eGFR and age are strong predictors of recipient’s kidney function at 3 years. We suggest that donor’s eGFR should be clinically balanced with other determinants of kidney function and in particular with age.
DOI: 10.25345/c50j69
title: MassIVE MSV000086884 - GNPS - Human Gut Bacteria Biotransformation test on PBS
title: Pilot culture of human gut bacteria on Phosphate Buffer Solution (PBS) 1x enriched with chemical compounds under anaerobic conditions. Data was acquired in positive ion mode.
DOI: 10.34740/kaggle/dsv/1943291
title: Internet Speed Dataset
DOI: 10.24378/exe.3004
title: All-Optical Switching of an Epsilon-Near-Zero Plasmon Resonance in Indium Tin Oxide (dataset)

description: This is the dataset used for the Bohn et al. (2021) article "All-Optical Switching of an Epsilon-Near-Zero Plasmon Resonance in Indium Tin Oxide" published in Nature Communications.
description: The data to reproduce the figures in the Nature Communication Publication "All-Optical Switching of an Epsilon-Near-Zero Plasmon Resonance in Indium Tin Oxide". The codes to plot the graphs are based on Python 3.8.5 and Mathematica 12. The final collection in an SVG file was done using Inkscape 1.0.
description: The article associated with this dataset is available in ORE at: http://hdl.handle.net/10871/124741
DOI: 10.17632/4xxmdbrspn.1
title: Data for: MSGP-LASSO: an improved multi-stage genetic programming model for streamflow prediction
DOI: 10.5517/ccdc.csd.cc1q9y21
title: CCDC 1588473: Experimental Crystal Structure Determination

description: Related Article: Mathias Paul, Katrin Peckelsen, Thomas Thomulka, Jonathan Martens, Giel Berden, Jos Oomens, Jörg-M. Neudörfl, Martin Breugst, Anthony J. H. M. Meijer, Mathias Schäfer, Albrecht Berkessel|2020|Chem.-Eur.J.|27|2662|doi:10.1002/chem.202003454
DOI: 10.5517/ccdc.csd.cc1z71qz
title: CCDC 1824031: Experimental Crystal Structure Determination

description: Related Article: Mathias Paul, Katrin Peckelsen, Thomas Thomulka, Jonathan Martens, Giel Berden, Jos Oomens, Jörg-M. Neudörfl, Martin Breugst, Anthony J. H. M. Meijer, Mathias Schäfer, Albrecht Berkessel|2020|Chem.-Eur.J.|27|2662|doi:10.1002/chem.202003454
DOI: 10.5517/ccdc.csd.cc1z71r0
title: CCDC 1824032: Experimental Crystal Structure Determination

description: Related Article: Mathias Paul, Katrin Peckelsen, Thomas Thomulka, Jonathan Martens, Giel Berden, Jos Oomens, Jörg-M. Neudörfl, Martin Breugst, Anthony J. H. M. Meijer, Mathias Schäfer, Albrecht Berkessel|2020|Chem.-Eur.J.|27|2662|doi:10.1002/chem.202003454
DOI: 10.5517/ccdc.csd.cc1z71s1
title: CCDC 1824033: Experimental Crystal Structure Determination

description: Related Article: Mathias Paul, Katrin Peckelsen, Thomas Thomulka, Jonathan Martens, Giel Berden, Jos Oomens, Jörg-M. Neudörfl, Martin Breugst, Anthony J. H. M. Meijer, Mathias Schäfer, Albrecht Berkessel|2020|Chem.-Eur.J.|27|2662|doi:10.1002/chem.202003454
DOI: 10.5517/ccdc.csd.cc25bz4n
title: CCDC 2006541: Experimental Crystal Structure Determination

description: Related Article: Mathias Paul, Katrin Peckelsen, Thomas Thomulka, Jonathan Martens, Giel Berden, Jos Oomens, Jörg-M. Neudörfl, Martin Breugst, Anthony J. H. M. Meijer, Mathias Schäfer, Albrecht Berkessel|2020|Chem.-Eur.J.|27|2662|doi:10.1002/chem.202003454
DOI: 10.5517/ccdc.csd.cc25bz5p
title: CCDC 2006542: Experimental Crystal Structure Determination

description: Related Article: Mathias Paul, Katrin Peckelsen, Thomas Thomulka, Jonathan Martens, Giel Berden, Jos Oomens, Jörg-M. Neudörfl, Martin Breugst, Anthony J. H. M. Meijer, Mathias Schäfer, Albrecht Berkessel|2020|Chem.-Eur.J.|27|2662|doi:10.1002/chem.202003454
DOI: 10.5517/ccdc.csd.cc25wn0r
title: CCDC 2022564: Experimental Crystal Structure Determination

description: Related Article: Ryusuke Hagihara, Tomohiro Umeno, Shoji Ueki, Daisuke Yoshihara, Yasufumi Fuchi, Kazuteru Usui, Masaomi Sakuma, Ken-ichi Yamada, Satoru Karasawa|2020|Chem.-Eur.J.|27|3039|doi:10.1002/chem.202003854
DOI: 10.5517/ccdc.csd.cc25wn1s
title: CCDC 2022565: Experimental Crystal Structure Determination

description: Related Article: Ryusuke Hagihara, Tomohiro Umeno, Shoji Ueki, Daisuke Yoshihara, Yasufumi Fuchi, Kazuteru Usui, Masaomi Sakuma, Ken-ichi Yamada, Satoru Karasawa|2020|Chem.-Eur.J.|27|3039|doi:10.1002/chem.202003854
DOI: 10.5517/ccdc.csd.cc25wn2t
title: CCDC 2022566: Experimental Crystal Structure Determination

description: Related Article: Ryusuke Hagihara, Tomohiro Umeno, Shoji Ueki, Daisuke Yoshihara, Yasufumi Fuchi, Kazuteru Usui, Masaomi Sakuma, Ken-ichi Yamada, Satoru Karasawa|2020|Chem.-Eur.J.|27|3039|doi:10.1002/chem.202003854
DOI: 10.5517/ccdc.csd.cc25wn3v
title: CCDC 2022567: Experimental Crystal Structure Determination

description: Related Article: Ryusuke Hagihara, Tomohiro Umeno, Shoji Ueki, Daisuke Yoshihara, Yasufumi Fuchi, Kazuteru Usui, Masaomi Sakuma, Ken-ichi Yamada, Satoru Karasawa|2020|Chem.-Eur.J.|27|3039|doi:10.1002/chem.202003854
DOI: 10.21227/1grn-6x54
title: Design and Development of a Blockchain-Based Spatial Crowdsourcing System

description: This isCharlotte street netowrk data.
DOI: 10.5281/zenodo.4534127
title: Dataset for Patrol Sequences of Out-of-Service Nodes in a Power Distribution Feeders

description: This release comprises a fictional radial power distribution system located on a road-network from Piedmont, California, USA. The system nodes' coordinates rely on projection EPSG:4326 or WGS 84. The test case mainly comprises 46 switches and 68 buses, totalling two substations with two feeders each. The first substation, DS01, holds two connection points and 2041 customers distributed on 30 buses. The other substation, DS02, also with two connection points, contains 2656 customers distributed on 38 buses. Additionally, the nine interconnections switches provide diverse manoeuvre possibilities between the feeders, including internal manoeuvres, and support customers' relocation to other branches. Consequently, this scheme containing two critical infrastructures can be applied to fault simulations and in-field crews' operations, such as switch manoeuvring and routing. Following, a brief description of the nodes' fields: <strong>substation</strong>: it identifies the substation that the node is allocated <strong>feeder</strong>: it identifies the feeder that the node is allocated <strong>label</strong>: it is the ID for each node <strong>type</strong>: this field contains the type of each node; switch, bus, or root. This last one denotes that the node is a substation <strong>interconnection</strong>: it is flagged by "1" if the node is an interconnection switch, and "0" otherwise <strong>customers</strong>: it detains the number of customers for each bus <strong>x</strong>: latitude <strong>y</strong>: longitude geometry: this field contains the shapely's geometry object for each point Next, a brief description of the edges' fields: <strong>substation</strong>: it identifies the substation that the node is allocated <strong>feeder</strong>: it identifies the feeder that the node is allocated <strong>from</strong>: it is a node label as an endpoint of an edge in a graph representation <strong>to</strong>: it is a node label as an endpoint of an edge in a graph representation <strong>interconnection</strong>: it is flagged by "1" if the node is an interconnection switch, and "0" otherwise <strong>geometry</strong>: this field contains the shapely's geometry object for each point <br>
DOI: 10.5281/zenodo.4534126
title: Dataset for Patrol Sequences of Out-of-Service Nodes in a Power Distribution Feeders

description: This release comprises a fictional radial power distribution system located on a road-network from Piedmont, California, USA. The system nodes' coordinates rely on projection EPSG:4326 or WGS 84. The test case mainly comprises 46 switches and 68 buses, totalling two substations with two feeders each. The first substation, DS01, holds two connection points and 2041 customers distributed on 30 buses. The other substation, DS02, also with two connection points, contains 2656 customers distributed on 38 buses. Additionally, the nine interconnections switches provide diverse manoeuvre possibilities between the feeders, including internal manoeuvres, and support customers' relocation to other branches. Consequently, this scheme containing two critical infrastructures can be applied to fault simulations and in-field crews' operations, such as switch manoeuvring and routing. Following, a brief description of the nodes' fields: <strong>substation</strong>: it identifies the substation that the node is allocated <strong>feeder</strong>: it identifies the feeder that the node is allocated <strong>label</strong>: it is the ID for each node <strong>type</strong>: this field contains the type of each node; switch, bus, or root. This last one denotes that the node is a substation <strong>interconnection</strong>: it is flagged by "1" if the node is an interconnection switch, and "0" otherwise <strong>customers</strong>: it detains the number of customers for each bus <strong>x</strong>: latitude <strong>y</strong>: longitude geometry: this field contains the shapely's geometry object for each point Next, a brief description of the edges' fields: <strong>substation</strong>: it identifies the substation that the node is allocated <strong>feeder</strong>: it identifies the feeder that the node is allocated <strong>from</strong>: it is a node label as an endpoint of an edge in a graph representation <strong>to</strong>: it is a node label as an endpoint of an edge in a graph representation <strong>interconnection</strong>: it is flagged by "1" if the node is an interconnection switch, and "0" otherwise <strong>geometry</strong>: this field contains the shapely's geometry object for each point <br>
DOI: 10.6084/m9.figshare.13677259
title: sc_mouse_cortex

description: pre-processed mouse brain cortex from Tasic et alhttps://www.nature.com/articles/s41586-018-0654-5?spm=smpc.content.content.1.1549238400023WRl5Apr<br>
DOI: 10.15468/7pmpb5
title: Notes on the identity of Oiketicoides tedaldii (Heylaerts, 1882) (Psychidae, Oiketicinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Arnscheid, Wilfried R., Sobczyk, Thomas, Zerafa, Michael (2021): Notes on the identity of Oiketicoides tedaldii (Heylaerts, 1882) (Psychidae, Oiketicinae). Nota Lepidopterologica 44: 1-15, DOI: http://dx.doi.org/10.3897/nl.44.60222, URL: http://dx.doi.org/10.3897/nl.44.60222
DOI: 10.6084/m9.figshare.13604195
title: 4i Dataset Gut et al.

description: Please cite original article: <br>https://doi.org/10.1126/science.aar7042
DOI: 10.15468/epxyze
title: Lectotypification of Tsuga longibracteata W. C. Cheng (Pinaceae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yang, Yong, Rushforth, Keith (2021): Lectotypification of Tsuga longibracteata W. C. Cheng (Pinaceae). PhytoKeys 172: 93-96, DOI: http://dx.doi.org/10.3897/phytokeys.172.62450, URL: http://dx.doi.org/10.3897/phytokeys.172.62450
DOI: 10.6084/m9.figshare.13604192
title: Imaging Mass Cytometry Breast Cancer

description: Please cite original article: https://doi.org/10.1038/s41586-019-1876-x
DOI: 10.6084/m9.figshare.13951490.v1
title: Data Files Gen $P:$G = 2:1

description: The file Data2_1.zip includes data files with phenotypes for genomic scenarios with relative cost pf phenotype to genotype of 2:1. Each file is named after the type of selection it ran (Gen for genomic ) followed by the availability of the initial training population (True / False), the number of phenotypic records per lactation ([1-11) and by the ratio of the cost of phenotyping and genotyping (2_1). The data file contains herd_Year, phenotypic value and individual's ID.<br>
DOI: 10.6084/m9.figshare.13951490
title: Data Files Gen $P:$G = 2:1

description: The file Data2_1.zip includes data files with phenotypes for genomic scenarios with relative cost pf phenotype to genotype of 2:1. Each file is named after the type of selection it ran (Gen for genomic ) followed by the availability of the initial training population (True / False), the number of phenotypic records per lactation ([1-11) and by the ratio of the cost of phenotyping and genotyping (2_1). The data file contains herd_Year, phenotypic value and individual's ID.<br>
DOI: 10.6084/m9.figshare.13604189
title: Seqfish Mouse Gastrulation

description: Cite original article https://doi.org/10.1101/2020.11.20.391896
DOI: 10.6084/m9.figshare.13604186
title: Brain Coronal HnE Adata

description: cite original dataset: https://support.10xgenomics.com/spatial-gene-expression/datasets/1.1.0/V1_Adult_Mouse_Brain
DOI: 10.6084/m9.figshare.13604183
title: Brain Coronal Fluorescent Adata

description: cite orgiinal dataset: https://support.10xgenomics.com/spatial-gene-expression/datasets/1.1.0/V1_Adult_Mouse_Brain_Coronal_Section_2
DOI: 10.6084/m9.figshare.13604177
title: Brain Coronal HnE Adata Crop

description: cite original dataset: https://support.10xgenomics.com/spatial-gene-expression/datasets/1.1.0/V1_Adult_Mouse_Brain
DOI: 10.6084/m9.figshare.13604177.v1
title: Brain Coronal HnE Adata Crop

description: cite original dataset: https://support.10xgenomics.com/spatial-gene-expression/datasets/1.1.0/V1_Adult_Mouse_Brain
DOI: 10.6084/m9.figshare.13942697
title: Data Files Class

description: The file DataClass.zip includes data files with phenotypes for the classical scenarios we ran. Each file is named after the type of selection it ran (Class for conventional) followed by the replication number and the number of phenotypic records per lactation (11) . The data file contains herd_Year, phenotypic value and individual's ID.
DOI: 10.6084/m9.figshare.13942697.v2
title: Data Files Class

description: The file DataClass.zip includes data files with phenotypes for the classical scenarios we ran. Each file is named after the type of selection it ran (Class for conventional) followed by the replication number and the number of phenotypic records per lactation (11) . The data file contains herd_Year, phenotypic value and individual's ID.
DOI: 10.6084/m9.figshare.13942697.v1
title: Data Files

description: The file DataClass.zip includes data files with phenotypes for the classical scenarios we ran. Each file is named after the type of selection it ran (Class for conventional) followed by the replication number and the number of phenotypic records per lactation (11) . The data file contains herd_Year, phenotypic value and individual's ID.
DOI: 10.6084/m9.figshare.13604168
title: Brain Coronal Fluorescent Adata Crop

description: cite original dataset: https://support.10xgenomics.com/spatial-gene-expression/datasets/1.1.0/V1_Adult_Mouse_Brain_Coronal_Section_2
DOI: 10.6084/m9.figshare.13604165
title: Brain Coronal Fluorescent Image Crop

description: cite: https://support.10xgenomics.com/spatial-gene-expression/datasets/1.1.0/V1_Adult_Mouse_Brain_Coronal_Section_2
DOI: 10.6084/m9.figshare.13604153
title: Brain Coronal HnE Image Crop

description: cite original dataset: https://support.10xgenomics.com/spatial-gene-expression/datasets/1.1.0/V1_Adult_Mouse_Brain
DOI: 10.6084/m9.figshare.13604141
title: Brain Coronal HnE Image

description: cite original dataset: https://support.10xgenomics.com/spatial-gene-expression/datasets/1.1.0/V1_Adult_Mouse_Brain
DOI: 10.6084/m9.figshare.13696750
title: Whole Exome Data VCF files

description: Vcf files Human Whole Exome Data via Illumina platform for patients (Snp vcf file and indel vcf file for each patient)<br>M46: M46.snps.vcf; M46.indels.vcfM48: M48.snps.vcf; M48.indels.vcfP18: JAS_P18.GATK.snp.vcf; JAS_P18.GATK.indel.vcfN36: JAS_N36.GATK.snp.vcf; JAS_N36.GATK.indel.vcf
DOI: 10.6084/m9.figshare.14038475
title: Supplementary Material for: Temozolomide Alone or Combined with Capecitabine for the Treatment of Metastatic Neuroendocrine Neoplasia: A “Real-World” Data Analysis

description: <b><i>Background:</i></b> Neuroendocrine neoplasias (NENs) are a rare group of tumors with different prognosis and response to therapy. Their heterogeneity is dependent on the site of origin, morphology, and Ki67. Temozolomide (TEM) appears to be active in metastatic NENs (mNENs) but there is limited evidence about its efficacy in gastrointestinal NENs. We analyzed “real-world” data on the use of TEM alone or in association with capecitabine (CAPTEM) in patients with mNENs. <b><i>Patients and Methods:</i></b> One hundred consecutive patients with advanced NENs treated with TEM or CAPTEM between 2009 and 2019 were included. A pretreatment tumor growth rate (TGR<sub>0</sub>) was calculated. Overall survival (OS), progression-free survival (PFS), tolerance, objective response rate (ORR), and disease control rate (DCR) were analyzed. A propensity score analysis and inverse probability of treatment weights for Cox regression models were used. <b><i>Results:</i></b> TEM-based therapy was administered to 95 patients (26.3% CAPTEM and 83.7% TEM) with a median age of 59 years (range 26–85) years. ECOG performance status was 0–2. Carcinoid syndrome was reported in 12 (12.6%) patients. Twenty (21.1%) patients with grade (G) 3 neuroendocrine carcinoma (NEC) and 9 (9.4%) with G3 neuroendocrine tumors (NETs) were included in the analysis. Median PFS of the entire group was 10.4 months (95% confidence interval [CI]: 6.0–11.5). In multivariate analysis, a higher risk of progression was observed for NEC G3 patients (hazard ratio [HR] 2.70, 95% CI: 1.25–5.84) and for a TGR ≥19.55 (HR: 2.53, 95% CI: 1.45–4.40). Median OS was 23.4 months (95% CI: 17.0–29.0) and was similar in both treatment groups (23.9 vs. 20.5 months for TEM and CAPTEM, respectively, <i>p</i> = 0.585). In multivariate analysis, TGR ≥19.55 was associated with a higher risk of death (HR: 2.18, 95% CI: 1.16–4.11) than TGR &lt;19.55, as was NEC G3 (HR: 2.42, 95% CI: 1.04–5.59) with respect to NETs. No differences in terms of mPFS or mOS were seen in relation to the primary site of disease. In the 86 patients evaluable for response, ORR was 44.1% and the DCR was 70.9%. Mild adverse events (grade I–II) included anemia, neutropenia, and headache. Rare cases of G 3 neutropenia and thrombocytopenia were recorded. <b><i>Conclusions:</i></b> TEM-based regimens are associated with a high DCR and a relatively tolerable toxicity profile in NENs of pancreatic, intestinal, and lung origin. Further investigation of these specific NETs is warranted in prospective clinical trials.