cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15124/92466e73-6012-4ab4-ad10-cd7fdc075cb3
title: Data and methods for "Comment on `The impact of recent forcing and ocean heat uptake data on estimates of climate sensitivity'"

description: Data and methods for our comment paper in Journal of Climate. ABSTRACT: Lewis & Curry (2018) (hereafter LC18) present a method for the estimating the transient climate response (TCR) of the climate system from the temperature change between two time windows - an early baseline period in the 19th century, and a modern period primarily in the 21st century. The results suggest a lower value of TCR than estimates from climate model simulations. Previous studies have identified uncertainty in the historical forcings, the impact of the time evolution of the forcing on temperature response, and observational issues as contributory factors to this disagreement. We investigate a further factor: uncertainty in the bias corrections applied to historical sea surface temperature data. This uncertainty can particularly impact the estimation of variables on decadal timescales, and therefore impact the estimation of TCR using the window method as well as estimates of internal variability. We demonstrate that use of the whole historical record can mitigate the impacts of working with short time windows to some extent, particularly with respect to the early part of the record.
DOI: 10.15124/8de06fe8-ea9d-49ff-bdd4-bb13cf605de5
title: Unlocking a diazirine long-lived nuclear singlet state via photochemistry: NMR detection and lifetime of an unstabilized diazo-compound

description: NMR data supporting paper
DOI: 10.15124/a034974e-2782-415e-8b02-2b6e4098760e
title: Characterisation of LPMO AA16 family

description: The dataset contains EPR data for the characterisation of lytic polysaccharide monooxygenase AA16 (X325) family. The copper active site of the enzyme is studied by X-band EPR. Data are uploaded as both raw data from the instrument and corresponding .asc files. The raw data are embargoed as a manuscript with the result of the study is in preparation.
DOI: 10.15124/2e0bb3d7-df75-4712-bac0-1a8c52b5a698
title: Antiphase Boundaries in Truncated Octahedron-shaped Zn-doped Magnetite Nanocrystals

description: Input and output files for DFT calculations of ZnFeO bulk and APB defects as described in associated with paper 'Antiphase Boundaries in Truncated Octahedron-shaped Zn-doped Magnetite Nanocrystals' published in Journal of Materials Chemistry C.
DOI: 10.15124/5cb0c982-b280-47e9-9d46-08e675dfe0af
title: Wann - Tin trifluoroacetate data from calculations and gas electron diffraction

description: Inside this archive, there are two directories relating to the paper "Polymeric Tin Trifluoroacetates as Green Precursors for F-Doped SnO2". One directory (Theory) contains the input/output for theoretical calculations; the other (Experiment) contains the input/output for the gas electron diffraction (GED) refinement procedure, carried out using ed@ed v3.0. 1) Theory: 1.1) GAUSSIAN09 Rev. D01: This directory comprises three subdirectories: a) SnTFA2 b) SnTFA4 c) Sn2OTFA2 Each subdirectory comprises four further subdirectories: a) M06 b) M11 c) SOGGA11X d) SOGGA11X-DKH Each contains density functional theory (DFT) calculations carried out using the functional for which the subdirectory is named. Gaussian09 Rev. D01 checkpoint - formatted and unformatted - (.fchk and .chk), input (.com) and output (.out) files are provided for every calculation. These files are named as follows: [MOLECULE]_[METHOD]_[BASIS SET].[EXTENSION] [MOLECULE] = SnTFA2; SnTFA4; Sn2OTFA2 [METHOD] = M06; M11; SOGGA11X; SOGGA11X-DKH [BASIS SET] = DEF2SVP; DEF2TZVP; DEF2QZVP; DZP-DKH; TZP-DKH [EXTENSION] = chk; .fchk; com; out 1.2) SHRINK This directory comprises three subdirectories: a) SnTFA2 b) SnTFA4 c) Sn2OTFA2 Each contains the standard input and output from SHRINK. Users should refer to the SHRINK manual to interpet the contents of these files. These files are named as follows: [MOLECULE]_[LEVEL].[EXTENSION] [MOLECULE] = SnTFA2; SnTFA4; Sn2OTFA2 [LEVEL] = rh1 [EXTENSION] = .cc2; .cor; .dat; .fc1; .ffc; .output 2) Experiment: This directory comprises two subdirectories: a) SnTFA2 + Sn2OTFA2 b) SnTFA4 Each subdirectory contains the experimental GED data in .xml format (GED_Data.xml) such that it can be read into ed@ed v3.0, plain-text input for ed@ed v3.0 (edated_v30.inp) and the FORTRAN90 parameterized molecular model used in the least-squares refinement procedure compiled as a .dll(edated_v30.dll), for use with ed@ed v3.0, and in human-readable format (edated_v30.dll). Each subdirectory comprises two further subdirectories, one (Data) containing the final output data for the least-squares refinement procedure in ed@ed v3.0 and the other (Reduction) containing files relating to the data reduction process.
DOI: 10.15124/56f576ee-b2de-4ca5-9251-831bfc3cae6f
title: Data related to "Exact exchange-correlation kernels for optical spectra of model systems"

description: Data related to the paper "Exact exchange-correlation kernels for optical spectra of model systems" by M.T. Entwistle and R.W. Godby, Physical Review B (Rapid Communications) 2019. The data required to produce each of the figures in the main article is given in tab-separated values (TSV) format, located inside the appropriate figure_* directory. The data required to produce the figure in the Supplemental Material is given in tab-separated values (TSV) format, located inside the sup_mat directory. Each figure contains multiple panels and consequently the name of the data file for each panel has been appended with the appropriate extension. All data is given in Hartree atomic units.
DOI: 10.5523/bris.2b6t0stfalwkz2bmzj29f0jqsp
title: DYRK1A antagonists rescue degeneration and behavioural deficits of in vivo models based on amyloid-β, Tau and DYRK1A neurotoxicity

description: All data in Exel spreadsheets for numbered figures in DYRK1A antagonists rescue degeneration and behavioural deficits of in vivo models based on amyloid-β, Tau and DYRK1A neurotoxicity Bangfu Zhu, Tom Parsons, Christopher Foley, Yeng Shaw, Travis Dunckley, Christopher Hulme & James J. L. Hodge Scientific Reports volume 12, Article number: 15847 (2022)
DOI: 10.6084/m9.figshare.21370692
title: Data Availability.7z

description: IJERPH (Data Availability)
DOI: 10.6084/m9.figshare.21370692.v1
title: Data Availability.7z

description: IJERPH (Data Availability)
DOI: 10.6084/m9.figshare.21370755
title: S3 File. Dataset

description: Suplementary information for a manuscript in progress submitted to PLOS ONE Journal (PONE-D-22-21934)
DOI: 10.5281/zenodo.6856557
title: Data accompanying "Petabit per second data transmission using a chip-scale microcomb ring resonator source"

description: Data for reproducing the figures from the article: <strong>Petabit per second data transmission using a chip-scale microcomb ring resonator source. </strong>
DOI: 10.5281/zenodo.6856556
title: Data accompanying "Petabit per second data transmission using a chip-scale microcomb ring resonator source"

description: Data for reproducing the figures from the article: <strong>Petabit per second data transmission using a chip-scale microcomb ring resonator source. </strong>
DOI: 10.5281/zenodo.7229645
title: Genetically predicted lipid traits, diabetes mellitus liability and carotid intima-media thickness in African ancestry individuals: a Mendelian randomization study

description: Genetic variants used for the analysis of 'Genetically predicted lipid traits, diabetes mellitus liability and carotid intima-media thickness in African ancestry individuals: a Mendelian randomization study'.
DOI: 10.5281/zenodo.7229644
title: Genetically predicted lipid traits, diabetes mellitus liability and carotid intima-media thickness in African ancestry individuals: a Mendelian randomization study

description: Genetic variants used for the analysis of 'Genetically predicted lipid traits, diabetes mellitus liability and carotid intima-media thickness in African ancestry individuals: a Mendelian randomization study'.
DOI: 10.5281/zenodo.5835995
title: Ultrafast imaging recordings from the axon initial segment of neocortical layer-5 pyramidal neurons.

description: This dataset contains imaging and whole-cell electrophysiological recordings from neocortical layer-5 pyramidal neuron from brain slices of the mouse. Electrophysiological recordings (at 20 kHz) are from the soma. Imaging data (10 kHz) are from lines along the axon initial segment (distal&gt;proximal) with 500 nm pixel resolution. These correspond to: Sodium imaging (Figures 1 and S6). Voltage imaging (Figures 2,4,5,S4,S7) Calcium imaging (Figures 3,S3,S8). This dataset is used in the paper available online: Filipis L, Blömer LA, Montnach J, De Waard M, Canepari M. Nav1.2 and BK channels interaction shapes the action potential in the axon initial segment. bioRxiv, 2022. doi: 10.1101/2022.04.12.488116.
description: {"references": ["Filipis et al. (2022) BiorXiv doi: 10.1101/2022.04.12.488116"]}
DOI: 10.5281/zenodo.5835994
title: Ultrafast imaging recordings from the axon initial segment of neocortical layer-5 pyramidal neurons.

description: This dataset contains imaging and whole-cell electrophysiological recordings from neocortical layer-5 pyramidal neuron from brain slices of the mouse. Electrophysiological recordings (at 20 kHz) are from the soma. Imaging data (10 kHz) are from lines along the axon initial segment (distal&gt;proximal) with 500 nm pixel resolution. These correspond to: Sodium imaging (Figures 1 and S6). Voltage imaging (Figures 2,4,5,S4,S7) Calcium imaging (Figures 3,S3,S8). This dataset is used in the paper available online: Filipis L, Blömer LA, Montnach J, De Waard M, Canepari M. Nav1.2 and BK channels interaction shapes the action potential in the axon initial segment. bioRxiv, 2022. doi: 10.1101/2022.04.12.488116.
description: {"references": ["Filipis et al. (2022) BiorXiv doi: 10.1101/2022.04.12.488116"]}
DOI: 10.3886/e157781v1-129822
title: Data and Code for: Rebel on the Canal: Rebel on the Canal: Disrupted Trade Access and Social Conflict in China, 1650-1911

description: This paper examines the effects of the abandonment of China's Grand Canal --- the world's largest and oldest artificial waterway --- which served as a disruption to regional trade access. Using an original dataset covering 575 counties over 262 years, we show that the canal's abandonment contributed to the social turmoil that engulfed North China in the nineteenth century. Counties along the canal experienced an additional 117% increase in rebelliousness after the canal's closure relative to their non-canal counterparts. Our findings highlight the important role that continued access to trade routes plays in reducing conflict.
description: Counties in Zhili, Shandong, Henan, Anhui, Zhejiang, and Jiangsu provinces as of 1820. Smallest Geographic Unit: county
DOI: 10.6084/m9.figshare.20510328
title: Estimation of Genetic Parameters and Single-step Genome-wide Association Studies for Milk Urea Nitrogen in Holstein Cattle

description: Estimation of Genetic Parameters and Single-step Genome-wide Association Studies for Milk Urea Nitrogen in Holstein Cattle
DOI: 10.6084/m9.figshare.20510328.v2
title: Estimation of Genetic Parameters and Single-step Genome-wide Association Studies for Milk Urea Nitrogen in Holstein Cattle

description: Estimation of Genetic Parameters and Single-step Genome-wide Association Studies for Milk Urea Nitrogen in Holstein Cattle
DOI: 10.6084/m9.figshare.20510328.v1
title: Estimation of Genetic Parameters and Single-step Genome-wide Association Studies for Milk Urea Nitrogen in Holstein Cattle

description: Estimation of Genetic Parameters and Single-step Genome-wide Association Studies for Milk Urea Nitrogen in Holstein Cattle
DOI: 10.6084/m9.figshare.21370911
title: AQUA_Data_NonExperts.sav

description: Data Set obtained in the user evaluation of the AQUA mobile application.
DOI: 10.6084/m9.figshare.21370911.v1
title: AQUA_Data_NonExperts.sav

description: Data Set obtained in the user evaluation of the AQUA mobile application.
DOI: 10.6084/m9.figshare.21370944
title: Identification and characterization of bacteria isolated from patients with cystic fibrosis in Jordan

description: Notable emergence of multidrug-resistant bacteria has become increasingly problematic worldwide. Most patients with cystic fibrosis (CF) suffer from chronic persistent infections with frequent occurrence of acute exacerbations. Routine screening of bacterial strains, epidemiological characteristics, and resistance patterns are particularly useful for patient management and maintenance of infection control procedures In this study, 43 pharyngeal samples were taken from patients with CF. Microbiological bacterial culture and identification, antimicrobial susceptibility testings, biofilm formation, including minimum biofilm eradication concentration (MBEC) and PCR for detecting resistance genes were performed. All samples were positive for bacterial growth. The predominant species were <i>Staphylococcus aureus</i> (41.86%; <i>n</i> = 18) and <i>Pseudomonas aeruginosa</i> (39.53%; <i>n</i> = 17). 30% of isolated bacteria were multidrug-resistant, resisting high concentrations of tested antibiotics. Among the 42 biofilm-forming isolates, 23.8% (<i>n</i> = 10) were strong biofilm formers. The occurance of resistance genes varied with <i>blaKPC</i> detected in 71% (<i>n</i> = 17) of all Gram-negative isolates and <i>mecA</i> found in 61% (<i>n</i> = 11) of all <i>S. aureus</i> strains. The majority of isolated bacteria were <i>S. aureus</i> and <i>P. aeruginosa</i>. The high frequency of antimicrobial resistance, the presence of resistance genes, and biofilm formation highlight the challenge in treatment and infection control measures in patients with CF.KEY MESSAGES<i>Staphylococcus aureus</i> and <i>Pseudomonas aeruginosa</i> are the most prevalent pathogens found in patients with CF in Jordan.Detection of antimicrobial resistance genes in patients with CF confirms that antimicrobial resistance patterns must always be monitored.Biofilm formation significantly increases the tolerance of bacteria to antimicrobial agents. <i>Staphylococcus aureus</i> and <i>Pseudomonas aeruginosa</i> are the most prevalent pathogens found in patients with CF in Jordan. Detection of antimicrobial resistance genes in patients with CF confirms that antimicrobial resistance patterns must always be monitored. Biofilm formation significantly increases the tolerance of bacteria to antimicrobial agents.
DOI: 10.6084/m9.figshare.21370944.v1
title: Identification and characterization of bacteria isolated from patients with cystic fibrosis in Jordan

description: Notable emergence of multidrug-resistant bacteria has become increasingly problematic worldwide. Most patients with cystic fibrosis (CF) suffer from chronic persistent infections with frequent occurrence of acute exacerbations. Routine screening of bacterial strains, epidemiological characteristics, and resistance patterns are particularly useful for patient management and maintenance of infection control procedures In this study, 43 pharyngeal samples were taken from patients with CF. Microbiological bacterial culture and identification, antimicrobial susceptibility testings, biofilm formation, including minimum biofilm eradication concentration (MBEC) and PCR for detecting resistance genes were performed. All samples were positive for bacterial growth. The predominant species were <i>Staphylococcus aureus</i> (41.86%; <i>n</i> = 18) and <i>Pseudomonas aeruginosa</i> (39.53%; <i>n</i> = 17). 30% of isolated bacteria were multidrug-resistant, resisting high concentrations of tested antibiotics. Among the 42 biofilm-forming isolates, 23.8% (<i>n</i> = 10) were strong biofilm formers. The occurance of resistance genes varied with <i>blaKPC</i> detected in 71% (<i>n</i> = 17) of all Gram-negative isolates and <i>mecA</i> found in 61% (<i>n</i> = 11) of all <i>S. aureus</i> strains. The majority of isolated bacteria were <i>S. aureus</i> and <i>P. aeruginosa</i>. The high frequency of antimicrobial resistance, the presence of resistance genes, and biofilm formation highlight the challenge in treatment and infection control measures in patients with CF.KEY MESSAGES<i>Staphylococcus aureus</i> and <i>Pseudomonas aeruginosa</i> are the most prevalent pathogens found in patients with CF in Jordan.Detection of antimicrobial resistance genes in patients with CF confirms that antimicrobial resistance patterns must always be monitored.Biofilm formation significantly increases the tolerance of bacteria to antimicrobial agents. <i>Staphylococcus aureus</i> and <i>Pseudomonas aeruginosa</i> are the most prevalent pathogens found in patients with CF in Jordan. Detection of antimicrobial resistance genes in patients with CF confirms that antimicrobial resistance patterns must always be monitored. Biofilm formation significantly increases the tolerance of bacteria to antimicrobial agents.
DOI: 10.34740/kaggle/dsv/4359068
title: COVID Vaccination in World (updated daily)
DOI: 10.5066/p93bp9p8
title: Water-Quality, Bed-Sediment, and Invertebrate Tissue Trace-Element Concentrations for Tributaries in the Clark Fork Basin, Montana, October 2019–September 2020

description: Water, bed sediment, and invertebrate tissue were sampled in streams from Butte to near Missoula, Montana, as part of a monitoring program in the Clark Fork Basin. The sampling program was completed by the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, to characterize aquatic resources in the Clark Fork Basin and monitor trace elements associated with historical mining and smelting activities. Sampling sites were on the Clark Fork River and a subset of its tributaries. Water samples were collected periodically at 22 sites from October 2019 through September 2020. Bed-sediment and tissue samples were collected once at 12 sites during July 2020. Water-quality data included concentrations of major ions, dissolved organic carbon, nitrogen (nitrate plus nitrite), trace elements, and suspended sediment. Daily values of turbidity were determined at four sites. Bed-sediment data included trace-element concentrations in the fine-grained (less than 0.063 millimeter) fraction. Biological data included trace-element concentrations in whole-body tissue of selected aquatic benthic invertebrates. Statistical summaries of water-quality, bed-sediment, and invertebrate tissue trace element data for sites in the Clark Fork Basin were provided for the period of record: March 1985–September 2020.
DOI: 10.5281/zenodo.7229787
title: Long-term recoveries of forest ecosystem components after shallow landslides were asynchronized among slope positions.

description: Data and code of the publication entitled "Long-term recoveries of forest ecosystem components after shallow landslides were asynchronized among slope positions."
DOI: 10.5281/zenodo.7229786
title: Long-term recoveries of forest ecosystem components after shallow landslides were asynchronized among slope positions.

description: Data and code of the publication entitled "Long-term recoveries of forest ecosystem components after shallow landslides were asynchronized among slope positions."
DOI: 10.15482/usda.adc/1528109
title: Annotation Data from: Genome Resources of Four Distinct Pathogenic Races Within Fusarium oxysporum f. sp. vasinfectum that Cause Vascular Wilt Disease of Cotton

description: Whole genome sequence (WGS) based identifications are being increasingly used by regulatory and public health agencies to facilitate the detection, investigation, and control of pathogens and pests. Fusarium oxysporum f. sp. vasinfectum is a significant vascular wilt pathogen of cultivated cotton and consists of several pathogenic races that are not each other’s closest phylogenetic relatives. We have developed WGS assemblies for isolates of F. oxysporum f. sp. vasinfectum race 1 (FOV1), race 4 (FOV4), race 5 (FOV5), and race 8 (FOV8) using a combination of Nanopore (MinION) and Illumina sequencing technology (Mi-Seq). This resulted in assembled contigs with more than 100× coverage for each of the F. oxysporum f. sp. vasinfectum races and estimated genome sizes of FOV1 52 Mb, FOV4 68 Mb, FOV5 68 Mb, and FOV8 55 Mb. The AUGUSTUS gene prediction program predicted 16,263 genes in FOV1, 20,259 genes in FOV4, 20,375 genes in FOV5 and 16,615 genes in FOV8. We were able to identify 525 genes unique to FOV1, 570 unique to FOV4, 1,242 unique to FOV5, and 383 unique to FOV8. We expect that these findings will help in comparative genomics and in the identification of unique genes as candidate targets for diagnostic marker and methods development to permit rapid differentiation of F. oxysporum f. sp. vasinfectum subgroups.
Subodh K. Srivastava (1, 2), Kurt A. Zeller (1), James H. Sobieraj (1,2) and Mark Nakhla (1)
1 - USDA APHIS PPQ, S&T, Beltsville Laboratory, Beltsville, MD, 20705, USA
2 - Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, 27695, USA
DOI: 10.5281/zenodo.7022885
title: old

description: WGS84 data sample for TOPO-DataGen
DOI: 10.5281/zenodo.7022884
title: old

description: WGS84 data sample for TOPO-DataGen
DOI: 10.5281/zenodo.7002094
title: old2

description: TOPO-DataGen sample dataset
DOI: 10.5281/zenodo.7002093
title: old2

description: TOPO-DataGen sample dataset
DOI: 10.5281/zenodo.7229875
title: D1.2 - Annex 1.7

description: Catalogue of assistive tools
DOI: 10.5281/zenodo.7229874
title: D1.2 - Annex 1.7

description: Catalogue of assistive tools
DOI: 10.5519/qd.rtsaixp5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5517/ccdc.csd.cc299vn4
title: CCDC 2124636: Experimental Crystal Structure Determination

description: Related Article: Liam Grunwald, Martin Clémancey, Daniel Klose, Lionel Dubois, Serge Gambarelli, Gunnar Jeschke, Michael Wörle, Geneviève Blondin, Victor Mougel|2022|Proc.Nat.Acad.Sci.USA|119|e2122677119|doi:10.1073/pnas.2122677119
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc299vp5
title: CCDC 2124637: Experimental Crystal Structure Determination

description: Related Article: Liam Grunwald, Martin Clémancey, Daniel Klose, Lionel Dubois, Serge Gambarelli, Gunnar Jeschke, Michael Wörle, Geneviève Blondin, Victor Mougel|2022|Proc.Nat.Acad.Sci.USA|119|e2122677119|doi:10.1073/pnas.2122677119
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc299vq6
title: CCDC 2124638: Experimental Crystal Structure Determination

description: Related Article: Liam Grunwald, Martin Clémancey, Daniel Klose, Lionel Dubois, Serge Gambarelli, Gunnar Jeschke, Michael Wörle, Geneviève Blondin, Victor Mougel|2022|Proc.Nat.Acad.Sci.USA|119|e2122677119|doi:10.1073/pnas.2122677119
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.