cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.18131426
title: ReFus GS vs. PS files

description: Fusarium verticillioides is a common maize (Zea mays L.) pathogen that causes Fusarium ear rot (FER) and produces the mycotoxin fumonisin (FUM). This study empirically compared phenotypic selection (PS) and genomic selection (GS) for improving FER and FUM resistance. Three intermating generations of recurrent GS were conducted in the same time frame and from a common base population as two generations of recurrent PS. Lines sampled from each PS and GS cycle were evaluated in three North Carolina environments in 2020. We observed similar cumulative responses to GS and PS, representing decreases of about 50% of mean FER and FUM compared to the base population. The first cycle of GS was more effective than later cycles. PS and GS both achieved about 70% of predicted total gain from selection for FER, but only about 26% of predicted gains for FUM, suggesting that heritability for FUM was overestimated. We observed a 20% decrease in genetic marker variation from PS and 30% decrease from GS. Our greatest challenge was our inability to quickly obtain dense and consistent set of marker genotypes across generations of GS. Practical implementation of GS in individual small-scale breeding programs will require cheaper and faster genotyping methods, and such technological advances will present opportunities to significantly optimize selection and mating schemes for future GS efforts beyond what we were able to achieve in this study.
DOI: 10.26186/146443
title: Collection of hydrocarbon shows data from petroleum wells (known as RESFACS database/Shows)

description: Hydrocarbon shows data are part of Geoscience Australia’s Reservoir, Facies and Shows (RESFACS) database, which contains depth-based information regarding hydrocarbon shows identified or interpreted during the drilling and evaluation of offshore and onshore petroleum wells. A hydrocarbon show is considered to be any indication of oil or gas observed during the drilling or evaluation of a petroleum well. Shows include data collected from well site observations, well logging, petrophysical analysis and well testing and/or sampling. A show evaluation is the complete analysis of a hydrocarbon-bearing formation with respect to lithology, depth and thickness, type and show value which indicates the potential productivity of the formation. Data entered into the shows table are most commonly sourced from both the Basic and Interpretive volumes of the Well Completion Reports (WCR) provided by the petroleum well operator under the Offshore Petroleum and Greenhouse Gas Storage Act (OPGGSA) 2006 and previous Petroleum (submerged Lands) Act (PSLA) 1967. Data is also sourced from hydrocarbon shows evaluations conducted by Geoscience Australia and its predecessor organisations, the Australian Geological Survey Organisation (AGSO) and the Bureau of Mineral Resources (BMR), and from state and territory geological organisations. Other open file data from company announcements and reports, scientific publications and university theses are also captured. The database structure has evolved over time and will keep changing as different types of petroleum data become available and the delivery platform changes. Data was initially delivered through the Petroleum Wells web page, http://dbforms.ga.gov.au/www/npm.well.search, which is in the process of being decommissioned. The hydrocarbon shows data will be available for viewing and download via the Geoscience Australia Portal Core, https://portal.ga.gov.au/.
DOI: 10.26186/146444
title: Collection of depositional environment data from petroleum wells (known as RESFACS database/ Depositional environment)

description: A depositional environment is defined as a site where sediments (e.g. detrital, chemical) accumulated, governed by physical, biological, and chemical processes related to modern environments such as fluvial, deltaic or marine. Once the sediments are lithified during burial processes, sedimentary rocks are assigned to ancient environments, referred to as palaeodepositional environments. Characteristics of sedimentary rocks often used to interpret depositional environments include lithology, sedimentary structures and textures, and any preserved fossils – all of which provide important information regarding the geologic evolution of sedimentary basins. Depositional environment data form part of Geoscience Australia’s Reservoir, Facies and Shows (RESFACS) database. It contains depth-based information regarding palaeogeographic settings interpreted from lithofacies analysis. Interpretations are based on lithological and sedimentary structure evaluations, well log analysis, and palynological and (micro)palaeontological analyses of sediments that were intersected by offshore petroleum wells. Data entered into the depositional environment table is primarily sourced from both the Basic and Interpretive volumes of Well Completion Reports (WCR) provided by the petroleum industry under the Offshore Petroleum and Greenhouse Gas Storage Act (OPGGSA) 2006 and previous Petroleum (submerged Lands) Act (PSLA) 1967. Data is also sourced from litho- and bio-facies evaluations and palaeontological studies by Geoscience Australia and its predecessor organisations, the Australian Geological Survey Organisation (AGSO) and the Bureau of Mineral Resources (BMR), as well as from state and territory geological organisations, scientific publications, university theses and books. The database structure has evolved over time and will keep changing as different types of relevant data become available and the delivery platform changes. Data hosted within Geoscience Australia’s Oracle petroleum wells database was initially delivered through the Petroleum Wells web page, http://dbforms.ga.gov.au/www/npm.well.search, which is due to be decommissioned in the future. The depositional environment data will now be available to view and download through the Geoscience Australia Portal Core, https://portal.ga.gov.au/.
DOI: 10.26186/146442
title: Collection of biostratigraphic data from petroleum wells (known as STRATDAT database)

description: Geoscience Australia’s biostratigraphic database (STRADAT) provides information about the biozonation of sedimentary rocks that were intersected by offshore petroleum wells. The basic unit of biostratigraphy is the biozone, a geological unit formally defined on the basis of the fossil groups contained within. Widely used taxa include trilobites, brachiopods, conodonts, dinoflagellate cysts, foraminifera, graptolites, spores and pollen, as well as nanofossils. Such units are typically defined by either the first appearance (range base) and apparent extinctions (range top/last appearance), or abundance of fossil index species. These fossil indices should ideally be relatively abundant, short-lived taxa that are easy to recognise and as geographically widespread as possible. Zonal schemes based on several different fossil groups can be used in parallel, and the zones can be calibrated to the absolute geological timescale (i.e., Geologic Time Scale 2004, 2012, 2020). Biozones allow the identification of spacial—temporal relationships and the distribution of lithostratigraphic units within and across sedimentary basins. They facilitate the understanding of subsurface geology and identification of source, reservoir and seal rocks, key elements of petroleum systems. These biostratigraphic data originate from well completion reports and destructive analyses reports that are submitted by the petroleum industry under the Offshore Petroleum and Greenhouse Gas Storage Act (OPGGSA) 2006 and previous Petroleum (submerged Lands) Act (PSLA) 1967. These data are also sourced from biostratigraphic studies by Geoscience Australia and its predecessor organisations, the Australian Geological Survey Organisation (AGSO) and the Bureau of Mineral Resources (BMR), as well as from state and territory geological organisations. Other open file data from publications, including university theses, are also captured. The database structure has evolved over time and will keep changing as different types of geological timescales data become available and the delivery platform changes. Data was initially delivered through the Petroleum Wells web page, http://dbforms.ga.gov.au/www/npm.well.search, which is in the process of being decommissioned. The biostratigraphic data will be available for viewing and download via the Geoscience Australia Portal Core, https://portal.ga.gov.au/.
DOI: 10.34740/kaggle/dsv/3877247
title: Our World in Data - COVID-19
DOI: 10.5281/zenodo.6774976
title: MIDAS2 protocol example custom genome collection dataset v1

description: Example input database of custom genome collection for MIDAS2 protocols. Two genomes from two species (<em>Staphylococcus epidermidis </em>and <em>Streptococcus mutans </em>)
description: {"references": ["https://doi.org/10.1101/2022.06.16.496510"]}
DOI: 10.5281/zenodo.6774975
title: MIDAS2 protocol example custom genome collection dataset v1

description: Example input database of custom genome collection for MIDAS2 protocols. Two genomes from two species (<em>Staphylococcus epidermidis </em>and <em>Streptococcus mutans </em>)
description: {"references": ["https://doi.org/10.1101/2022.06.16.496510"]}
DOI: 10.5281/zenodo.6775141
title: MIDAS2 unit testing

description: MIDAS2 unit test and custom genome collection template. Github: https://github.com/czbiohub/MIDAS2
description: {"references": ["https://doi.org/10.1101/2022.06.16.496510"]}
DOI: 10.5281/zenodo.6775140
title: MIDAS2 unit testing

description: MIDAS2 unit test and custom genome collection template. Github: https://github.com/czbiohub/MIDAS2
description: {"references": ["https://doi.org/10.1101/2022.06.16.496510"]}
DOI: 10.6084/m9.figshare.20174147
title: rowdata_Detraining induces extreme obesity in OLETF rats

description: <strong>Detraining after short-term exercise</strong> <strong>induces</strong> <strong>hyperphagia and</strong> <strong>extreme obesity</strong> <strong>with</strong> <strong>fatty</strong> <strong>liver and whitening of brown adipose tissue in young OLETF</strong> <strong>rats</strong>
DOI: 10.5281/zenodo.6775167
title: Orbitrap analysed non-volatile compound data from blue swimmer crab (Portunus armatus) flesh for manuscript: "Climate-driven changes to taste and aroma determining metabolites in an economically valuable portunid (Portunus armatus) have implications for future harvesting"

description: Accurate mass measurements of non-volatile metabolites conducted on a Q-Exactive Orbitrap LC-MS (Thermo Scientific, Scoresby, VIC, Australia) equipped with a heated electrospray ionization (H-ESI) source. Source conditions were as follows: spray voltage (positive ion 3.9 kV), sheath gas 60 (arbitrary units), auxiliary gas 10 (arbitrary units) and sweep gas 1 (arbitrary units), capillary temperature of 350 °C and auxiliary gas heating temperature of 400 °C.
DOI: 10.5281/zenodo.6775166
title: Orbitrap analysed non-volatile compound data from blue swimmer crab (Portunus armatus) flesh for manuscript: "Climate-driven changes to taste and aroma determining metabolites in an economically valuable portunid (Portunus armatus) have implications for future harvesting"

description: Accurate mass measurements of non-volatile metabolites conducted on a Q-Exactive Orbitrap LC-MS (Thermo Scientific, Scoresby, VIC, Australia) equipped with a heated electrospray ionization (H-ESI) source. Source conditions were as follows: spray voltage (positive ion 3.9 kV), sheath gas 60 (arbitrary units), auxiliary gas 10 (arbitrary units) and sweep gas 1 (arbitrary units), capillary temperature of 350 °C and auxiliary gas heating temperature of 400 °C.
DOI: 10.6084/m9.figshare.19953759
title: Hydrogen bonding interactions on molecular properties of pesticidal compound 4-nitrophthalic acid: experimental density functional theory computations, electron localized function, localized orbital locator analysis and molecular docking scrutiny

description: Nitroaromatic compounds are expansively used in the manufacturing of pharmaceuticals, pesticides, plasticizers, azo dyes and explosives. Nitrophenolic compounds can accumulate in the soil as a result of hydrolysis of several insecticides such asparathion, methyl parathion, and fenitrothion which can cause propitious effects to the biological systems. In optimized geometry hyperconjugation of nitro and dicarboxylic acid groups with the ring system increases the electron density of the aromatic system. Electron localized Function and Localized orbital Locator Analysis has value in a region wherein indicates high localization of electrons due to the presence of covalent bond, a lone pair of electrons or a nuclear shell in that region. In Nuclear Magnetic Resonance analysis signals in highly deshielded region clearly indicates the presence of carboxylic carbon in the compound. From vibrational assignments, broadening and red shifting depicts the level of intermolecular hydrogen bonding. <i>In-vitro</i> antimicrobial activity results clearly reveal that in all the four strains, activity increases with increase in compound concentration and the inhibition of the strains also increases. From both molecular docking and In-vitro Antimicrobial Activity the title compound can be certified that it inhibits antimicrobial activity and it is a pesticide.
DOI: 10.6084/m9.figshare.19953759.v1
title: Hydrogen bonding interactions on molecular properties of pesticidal compound 4-nitrophthalic acid: experimental density functional theory computations, electron localized function, localized orbital locator analysis and molecular docking scrutiny

description: Nitroaromatic compounds are expansively used in the manufacturing of pharmaceuticals, pesticides, plasticizers, azo dyes and explosives. Nitrophenolic compounds can accumulate in the soil as a result of hydrolysis of several insecticides such asparathion, methyl parathion, and fenitrothion which can cause propitious effects to the biological systems. In optimized geometry hyperconjugation of nitro and dicarboxylic acid groups with the ring system increases the electron density of the aromatic system. Electron localized Function and Localized orbital Locator Analysis has value in a region wherein indicates high localization of electrons due to the presence of covalent bond, a lone pair of electrons or a nuclear shell in that region. In Nuclear Magnetic Resonance analysis signals in highly deshielded region clearly indicates the presence of carboxylic carbon in the compound. From vibrational assignments, broadening and red shifting depicts the level of intermolecular hydrogen bonding. <i>In-vitro</i> antimicrobial activity results clearly reveal that in all the four strains, activity increases with increase in compound concentration and the inhibition of the strains also increases. From both molecular docking and In-vitro Antimicrobial Activity the title compound can be certified that it inhibits antimicrobial activity and it is a pesticide.
DOI: 10.25442/hku.20080232
title: Supporting data for Functional characterization of oligopeptidases from oral Capnocytophaga

description: Our study focuses on the analysis of protease genes of oral bacteria. We analyze the gene transcription, phenotype, and recombinant protein activity. We also analyse the gene distribution of these genes in Bacteroidetes. Our result will give instructions for oral disease treatment.
DOI: 10.25442/hku.20080232.v1
title: Supporting data for Functional characterization of oligopeptidases from oral Capnocytophaga

description: Our study focuses on the analysis of protease genes of oral bacteria. We analyze the gene transcription, phenotype, and recombinant protein activity. We also analyse the gene distribution of these genes in Bacteroidetes. Our result will give instructions for oral disease treatment.
DOI: 10.5281/zenodo.6775263
title: MIDAS2 protocol example output files

description: Example output for MIDAS2 protocols including all the basic and supporting protocols.
description: {"references": ["https://doi.org/10.1101/2022.06.16.496510"]}
DOI: 10.5281/zenodo.6775262
title: MIDAS2 protocol example output files

description: Example output for MIDAS2 protocols including all the basic and supporting protocols.
description: {"references": ["https://doi.org/10.1101/2022.06.16.496510"]}
DOI: 10.6084/m9.figshare.19640754
title: Additional file of JDS paper 21450

description: Number of individuals with phenotype for replacement wellness, cow longevity, and health indicators <br> Genetic correlations between calf and heifer wellness traits and cow health traits in Holstein cattle
DOI: 10.6084/m9.figshare.19640754.v1
title: Additional file of JDS paper 21450

description: Number of individuals with phenotype for replacement wellness, cow longevity, and health indicators <br> Genetic correlations between calf and heifer wellness traits and cow health traits in Holstein cattle
DOI: 10.6084/m9.figshare.20080094.v2
title: DLBS3233

description: Dataset of DLBS3233
DOI: 10.17608/k6.auckland.20174231
title: DesIGN trial dataset and data dictionary

description: Anonymised dataset and data dictionary from the <strong>"Midwife or doctor leader to implement a national guideline in babies on postnatal wards (DesIGN): a cluster-randomised, controlled, trial."</strong>
DOI: 10.17608/k6.auckland.20174231.v1
title: DesIGN trial dataset and data dictionary

description: Anonymised dataset and data dictionary from the <strong>"Midwife or doctor leader to implement a national guideline in babies on postnatal wards (DesIGN): a cluster-randomised, controlled, trial."</strong>
DOI: 10.6084/m9.figshare.20174240
title: b-TBI

description: The file contains the bTBI expression matrices, UMI counts for each gene and in each cell of 15272 neural and glial cells in the sub-ventricular zone (SVZ) as matrix.mtx.gz, features.tsv.gz and barcodes.tsv.gz in a matrix format, respectively.
DOI: 10.6084/m9.figshare.20174240.v1
title: b-TBI

description: The file contains the bTBI expression matrices, UMI counts for each gene and in each cell of 15272 neural and glial cells in the sub-ventricular zone (SVZ) as matrix.mtx.gz, features.tsv.gz and barcodes.tsv.gz in a matrix format, respectively.
DOI: 10.5517/ccdc.csd.cc2bpcfv
title: CCDC 2165487: Experimental Crystal Structure Determination

description: Related Article: Yong-Qiang Wang, Kunhua Xu, Long Min, Chuang-Chuang Li|2022|J.Am.Chem.Soc.|144|10162|doi:10.1021/jacs.2c04633
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.cc2bpchx
title: CCDC 2165489: Experimental Crystal Structure Determination

description: Related Article: Yong-Qiang Wang, Kunhua Xu, Long Min, Chuang-Chuang Li|2022|J.Am.Chem.Soc.|144|10162|doi:10.1021/jacs.2c04633
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.cc2bqdcv
title: CCDC 2166477: Experimental Crystal Structure Determination

description: Related Article: Zhi-Cheng Zhang, Tie Zhang, Pei-Zhi Huang, Ting Shao, Da-Wei Fu, Yi Zhang|2022|Dalton Trans.|51|9857|doi:10.1039/D2DT01413K
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.cc2bqdfx
title: CCDC 2166479: Experimental Crystal Structure Determination

description: Related Article: Zhi-Cheng Zhang, Tie Zhang, Pei-Zhi Huang, Ting Shao, Da-Wei Fu, Yi Zhang|2022|Dalton Trans.|51|9857|doi:10.1039/D2DT01413K
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.cc2bqdgy
title: CCDC 2166480: Experimental Crystal Structure Determination

description: Related Article: Zhi-Cheng Zhang, Tie Zhang, Pei-Zhi Huang, Ting Shao, Da-Wei Fu, Yi Zhang|2022|Dalton Trans.|51|9857|doi:10.1039/D2DT01413K
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.cc2bqktg
title: CCDC 2166646: Experimental Crystal Structure Determination

description: Related Article: Yong-Qiang Wang, Kunhua Xu, Long Min, Chuang-Chuang Li|2022|J.Am.Chem.Soc.|144|10162|doi:10.1021/jacs.2c04633
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.cc29k5gj
title: CCDC 2131667: Experimental Crystal Structure Determination

description: Related Article: Zhenzhen Lai, Silei Bai, Aimin Li, Xinxin Feng, Qing He|2022|Org.Chem.Front.|9|3571|doi:10.1039/D2QO00619G
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: 10.6084/m9.figshare.20155733
title: 2022JF006812

description: The data archived for The formation of atolls: new insights from numerical simulations.
DOI: 10.6084/m9.figshare.20155733.v2
title: 2022JF006812

description: The data archived for The formation of atolls: new insights from numerical simulations.
DOI: 10.6084/m9.figshare.20155733.v1
title: 2022JF006812

description: The data archived for The formation of atolls: new insights from numerical simulations.
DOI: 10.25919/3p2y-ea93
title: East Australian Current mooring raw data collection 2012-2013

description: The East Australian Current mooring raw data collection 2012-2013 contains all the raw instrument data files and instrument setup information, build documentation, deployment and recovery log sheets and scanned paper documentation for the deployment covering the period April, 2012 to August, 2013. Quality controlled data and gridded data products from this mooring deployment can be accessed via the links in the Related Links section of this collection record.
DOI: 10.25919/5xv3-am43
title: East Australian Current mooring raw data collection 2012-2013

description: The East Australian Current mooring raw data collection 2012-2013 contains all the raw instrument data files and instrument setup information, build documentation, deployment and recovery log sheets and scanned paper documentation for the deployment covering the period April, 2012 to August, 2013. Quality controlled data and gridded data products from this mooring deployment can be accessed via the links in the Related Links section of this collection record.