cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23689754
title: Additional file 6 of Comprehensive analysis of necroptosis-related lncRNA signature with potential implications in tumor heterogeneity and prediction of prognosis in clear cell renal cell carcinoma

description: Additional file 6: Table S4. Survival information of enrolled CCRCC patients.
DOI: 10.5281/zenodo.8149048
title: Oxidation of a commercial antioxidant is driving increasing atmospheric abundance of a novel organophosphate ester: Implication for global regulation

description: Data presented in the manuscript "Oxidation of a commercial antioxidant is driving increasing atmospheric abundance of a novel organophosphate ester: Implication for global regulation" by Liu et al. (2023).
DOI: 10.5281/zenodo.8149047
title: Oxidation of a commercial antioxidant is driving increasing atmospheric abundance of a novel organophosphate ester: Implication for global regulation

description: Data presented in the manuscript "Oxidation of a commercial antioxidant is driving increasing atmospheric abundance of a novel organophosphate ester: Implication for global regulation" by Liu et al. (2023).
DOI: 10.34740/kaggle/dsv/6135200
title: Tomato prices & arrival qty
DOI: 10.17909/18x3-kv08
title: JWST MIRI/MRS observation of NGC 7469 from ERS-1328

description: We combine mid-infrared diagnostics obtained from integral-field unit observations taken with MIRI/MRS on JWST with cold molecular gas information derived from ALMA observations of CO(1–0) emission to investigate the star formation rate and efficiency within the central ~ 1.5 kpc×1.3 kpc region of the Seyfert 1 galaxy NGC 7469 on ~ 100 pc scales.
DOI: 10.5281/zenodo.7382895
title: Rock moisture in the YunGang Grottoes

description: Rock moisture of Cave #9 in the YunGang Grottoes
DOI: 10.5281/zenodo.7382894
title: Rock moisture in the YunGang Grottoes

description: Rock moisture of Cave #9 in the YunGang Grottoes
DOI: 10.5281/zenodo.7945229
title: Soil moisture in the YunGang Grottoes

description: Soil moisture of two profiles in the YunGang Grottoes
DOI: 10.5281/zenodo.7945228
title: Soil moisture in the YunGang Grottoes

description: Soil moisture of two profiles in the YunGang Grottoes
DOI: 10.5281/zenodo.8149081
title: Investigation on Dynamic Characteristics of Lightning Return Stroke Channel

description: The dynamic characteristics in lightning discharge plasma channel are of great significance in studying the micro-physical mechanism of the discharge process. This paper established a simplified radiation-hydrodynamic model (SRHM) of the return stroke channel radial expansion based on the fluid dynamics theory and the time evolution characteristics of the light radiation power observed by experiments. The influence of current waveform on the dynamic characteristics of return stroke channel was investigated, and the temporal evolutions of the characteristic parameters, such as temperature, pressure and expansion speed for return stroke channel were analyzed. The results indicated that the current peak value and the risetime are important factors in determining the channel dynamics characteristics. At the initial stage of return stroke, the light radiation loss has a distinct influence on channel temperature, which leads to a transitory drop in temperature forming a bimodal waveform structure. Following the peak current, the channel reaches peak pressure, which leads to a subsequent secondary temperature peak and accelerates the expansion of the channel. Large peak current and the rise time are the indicative parameters of strong discharge and the main factors leading to lightning disaster. This work provides reference data for further research on the radial energy transport of lightning return stroke channel and the formation mechanism of shock waves.
DOI: 10.5281/zenodo.8149082
title: Investigation on Dynamic Characteristics of Lightning Return Stroke Channel

description: The dynamic characteristics in lightning discharge plasma channel are of great significance in studying the micro-physical mechanism of the discharge process. This paper established a simplified radiation-hydrodynamic model (SRHM) of the return stroke channel radial expansion based on the fluid dynamics theory and the time evolution characteristics of the light radiation power observed by experiments. The influence of current waveform on the dynamic characteristics of return stroke channel was investigated, and the temporal evolutions of the characteristic parameters, such as temperature, pressure and expansion speed for return stroke channel were analyzed. The results indicated that the current peak value and the risetime are important factors in determining the channel dynamics characteristics. At the initial stage of return stroke, the light radiation loss has a distinct influence on channel temperature, which leads to a transitory drop in temperature forming a bimodal waveform structure. Following the peak current, the channel reaches peak pressure, which leads to a subsequent secondary temperature peak and accelerates the expansion of the channel. Large peak current and the rise time are the indicative parameters of strong discharge and the main factors leading to lightning disaster. This work provides reference data for further research on the radial energy transport of lightning return stroke channel and the formation mechanism of shock waves.
DOI: 10.5281/zenodo.8149093
title: Investigation on Dynamic Characteristics of Lightning Return Stroke Channel

description: The dynamic characteristics in lightning discharge plasma channel are of great significance in studying the micro-physical mechanism of the discharge process. This paper established a simplified radiation-hydrodynamic model (SRHM) of the return stroke channel radial expansion based on the fluid dynamics theory and the time evolution characteristics of the light radiation power observed by experiments. The influence of current waveform on the dynamic characteristics of return stroke channel was investigated, and the temporal evolutions of the characteristic parameters, such as temperature, pressure and expansion speed for return stroke channel were analyzed. The results indicated that the current peak value and the risetime are important factors in determining the channel dynamics characteristics. At the initial stage of return stroke, the light radiation loss has a distinct influence on channel temperature, which leads to a transitory drop in temperature forming a bimodal waveform structure. Following the peak current, the channel reaches peak pressure, which leads to a subsequent secondary temperature peak and accelerates the expansion of the channel. Large peak current and the rise time are the indicative parameters of strong discharge and the main factors leading to lightning disaster. This work provides reference data for further research on the radial energy transport of lightning return stroke channel and the formation mechanism of shock waves.
DOI: 10.5281/zenodo.8149088
title: Dataset for paper "Dominance of Auger excitation in beam heating in transmission electron microscopy: Irradiation experiments and quantitative thermal analysis of α-Al2O3"

description: The collection of uploaded files constitutes a dataset supporting our findings, titled Dominance of Auger excitation in beam heating in transmission electron microscopy: Irradiation experiments and quantitative thermal analysis of α-Al<sub>2</sub>O<sub>3</sub>, to be submitted to a scientific journal. The input file for finite element analysis, with the ".inp" extension, is also included.
DOI: 10.5281/zenodo.8149087
title: Dataset for paper "Dominance of Auger excitation in beam heating in transmission electron microscopy: Irradiation experiments and quantitative thermal analysis of α-Al2O3"

description: The collection of uploaded files constitutes a dataset supporting our findings, titled Dominance of Auger excitation in beam heating in transmission electron microscopy: Irradiation experiments and quantitative thermal analysis of α-Al<sub>2</sub>O<sub>3</sub>, to be submitted to a scientific journal. The input file for finite element analysis, with the ".inp" extension, is also included.
DOI: 10.5281/zenodo.8149103
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Bernard Aston, http://www.wikidata.org/entity/Q5561701. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5561701
DOI: 10.5281/zenodo.8149131
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Anton Hilmer Berkman, http://www.wikidata.org/entity/Q120484059. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q120484059
DOI: 10.5281/zenodo.8149130
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Anton Hilmer Berkman, http://www.wikidata.org/entity/Q120484059. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q120484059
DOI: 10.5281/zenodo.8149133
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Paul Constant Billot, http://www.wikidata.org/entity/Q7149945. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q7149945
DOI: 10.5281/zenodo.8147571
title: ProjectÔ - Social Acceptance Studies - Dataset

description: This dataset has been collected as part of the EU-funded ProjectÔ within WP6 and has been analysed in D6.13 Social Acceptance Studies. The social acceptance research was designed to inform the implementation of the Project Ô water treatment innovations in four countries: Spain, Croatia, Italy, and Israel. Indeed, the data collection undertaken in each of these locations primarily focussed on attitudes toward the technology-based innovations for water treatment being implemented in respondents’ local Project Ô demosite. Further background information was collected through these studies to identify factors affecting social acceptance in each demonstration site’s region. The social acceptance research for the project was designed and implemented by the Institute for Methods Innovation, one of the Project Ô partners, and the Work Package 6 lead. To measure these attitudes, an explainer video of Project Ô’s implementation of innovative water treatment technologies focusing on the project’s innovation work in the respondents’ country was produced. The survey design used in these studies measured key aspects of local views about local Project Ô innovation plans for water reuse, circular water economy, and related issues. To understand their background views relevant to water reuse, respondents were asked about their local water consumption patterns, their perceptions of the local water supply, and their familiarity with water treatment technology. To understand differences in perceptions about environmental factors, respondents were asked to indicate their views related to different aspects of environmental attitudes relevant to water treatment innovations. This is important for clarifying drivers of social acceptance of new water treatment solutions. Finally, to understand the role of trust towards science and technology, scientists and engineers, and the European Commission in social acceptance of Project Ô’s innovation work.
DOI: 10.5281/zenodo.8147572
title: ProjectÔ - Social Acceptance Studies - Dataset

description: This dataset has been collected as part of the EU-funded ProjectÔ within WP6 and has been analysed in D6.13 Social Acceptance Studies. The social acceptance research was designed to inform the implementation of the Project Ô water treatment innovations in four countries: Spain, Croatia, Italy, and Israel. Indeed, the data collection undertaken in each of these locations primarily focussed on attitudes toward the technology-based innovations for water treatment being implemented in respondents’ local Project Ô demosite. Further background information was collected through these studies to identify factors affecting social acceptance in each demonstration site’s region. The social acceptance research for the project was designed and implemented by the Institute for Methods Innovation, one of the Project Ô partners, and the Work Package 6 lead. To measure these attitudes, an explainer video of Project Ô’s implementation of innovative water treatment technologies focusing on the project’s innovation work in the respondents’ country was produced. The survey design used in these studies measured key aspects of local views about local Project Ô innovation plans for water reuse, circular water economy, and related issues. To understand their background views relevant to water reuse, respondents were asked about their local water consumption patterns, their perceptions of the local water supply, and their familiarity with water treatment technology. To understand differences in perceptions about environmental factors, respondents were asked to indicate their views related to different aspects of environmental attitudes relevant to water treatment innovations. This is important for clarifying drivers of social acceptance of new water treatment solutions. Finally, to understand the role of trust towards science and technology, scientists and engineers, and the European Commission in social acceptance of Project Ô’s innovation work.
DOI: 10.5281/zenodo.8149145
title: Thesis Data

description: This data is related to the Ph.D. thesis of Dr. Nadia Noor. This data is collected from the nurses of 14 hospitals in Pakistan.
DOI: 10.5281/zenodo.8149144
title: Thesis Data

description: This data is related to the Ph.D. thesis of Dr. Nadia Noor. This data is collected from the nurses of 14 hospitals in Pakistan.
DOI: 10.5281/zenodo.8149171
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Laurent-Guillaume de Koninck, http://www.wikidata.org/entity/Q900759. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q900759
DOI: 10.5281/zenodo.8149170
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Laurent-Guillaume de Koninck, http://www.wikidata.org/entity/Q900759. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q900759
DOI: 10.5281/zenodo.7250786
title: PlanetProfile default model outputs

description: Plain text outputs and associated input files for all PlanetProfile default models: 16 moons across the outer solar system and Pluto. PlanetProfile is an open-source geophysical modeling framework available at https://github.com/NASA-Planetary-Science/PlanetProfile. The inputs and outputs are from and created by the v2.2.7 release, with all default settings. Output files list bulk properties in header lines at the top, then physical properties of each spherically symmetric layer along with depth and radius, beginning at the surface and continuing to the center of the body.
DOI: 10.5281/zenodo.7250787
title: PlanetProfile default model outputs

description: Plain text outputs and associated input files for all PlanetProfile default models: 16 moons across the outer solar system and Pluto. PlanetProfile is an open-source geophysical modeling framework available at https://github.com/NASA-Planetary-Science/PlanetProfile. The inputs and outputs are from and created by the v2.2.7 release, with all default settings. Output files list bulk properties in header lines at the top, then physical properties of each spherically symmetric layer along with depth and radius, beginning at the surface and continuing to the center of the body.
DOI: 10.5281/zenodo.7299170
title: PlanetProfile default model outputs

description: Plain text outputs and associated input files for all PlanetProfile default models: 16 moons across the outer solar system and Pluto. PlanetProfile is an open-source geophysical modeling framework available at https://github.com/NASA-Planetary-Science/PlanetProfile. The inputs and outputs are from and created by the v2.3.0 release, with all default settings. Output files list bulk properties in header lines at the top, then physical properties of each spherically symmetric layer along with depth and radius, beginning at the surface and continuing to the center of the body.
DOI: 10.5281/zenodo.7302727
title: PlanetProfile default model outputs

description: Plain text outputs and associated input files for all PlanetProfile default models: 16 moons across the outer solar system and Pluto. PlanetProfile is an open-source geophysical modeling framework available at https://github.com/NASA-Planetary-Science/PlanetProfile. The inputs and outputs are from and created by the v2.3.0 release, with all default settings. Output files list bulk properties in header lines at the top, then physical properties of each spherically symmetric layer along with depth and radius, beginning at the surface and continuing to the center of the body.
DOI: 10.5281/zenodo.7319854
title: PlanetProfile default model outputs

description: Summary graphics, plain text outputs, and associated input files for all PlanetProfile default models: 16 moons across the outer solar system and Pluto. PlanetProfile is an open-source geophysical modeling framework available at https://github.com/NASA-Planetary-Science/PlanetProfile. The inputs and outputs are from and created by the v2.3.3 release, with all default settings. Output files list bulk properties in header lines at the top, then physical properties of each spherically symmetric layer along with depth and radius, beginning at the surface and continuing to the center of the body. Summary graphics are grouped both by size and by solar system location, such that each model appears twice.
DOI: 10.5281/zenodo.7349297
title: PlanetProfile default model outputs

description: Summary graphics, plain text outputs, and associated input files for all PlanetProfile default models: 16 moons across the outer solar system and Pluto. PlanetProfile is an open-source geophysical modeling framework available at https://github.com/NASA-Planetary-Science/PlanetProfile. The inputs and outputs are from and created by the v2.3.7 release, with all default settings. Output files list bulk properties in header lines at the top, then physical properties of each spherically symmetric layer along with depth and radius, beginning at the surface and continuing to the center of the body. Summary graphics are grouped both by size and by solar system location, such that each model appears twice.
DOI: 10.5281/zenodo.7351295
title: PlanetProfile default model outputs

description: Summary graphics, plain text outputs, and associated input files for all PlanetProfile default models: 16 moons across the outer solar system and Pluto. PlanetProfile is an open-source geophysical modeling framework available at https://github.com/NASA-Planetary-Science/PlanetProfile. The inputs and outputs are from and created by the v2.3.9 release, with all default settings. Output files list bulk properties in header lines at the top, then physical properties of each spherically symmetric layer along with depth and radius, beginning at the surface and continuing to the center of the body. Summary graphics are grouped both by size and by solar system location, such that each model appears twice.
DOI: 10.5281/zenodo.8098371
title: PlanetProfile default model outputs

description: Summary graphics, plain text outputs, and associated input files for all PlanetProfile default models: 16 moons across the outer solar system and Pluto. PlanetProfile is an open-source geophysical modeling framework available at https://github.com/NASA-Planetary-Science/PlanetProfile. The inputs and outputs are from and created by the v2.3.16 release, with all default settings. Output files list bulk properties in header lines at the top, then physical properties of each spherically symmetric layer along with depth and radius, beginning at the surface and continuing to the center of the body. Summary graphics are grouped both by size and by solar system location, such that each model appears twice.
DOI: 10.5281/zenodo.7250785
title: PlanetProfile default model outputs

description: Summary graphics, plain text outputs, and associated input files for all PlanetProfile default models: 16 moons across the outer solar system and Pluto. PlanetProfile is an open-source geophysical modeling framework available at https://github.com/NASA-Planetary-Science/PlanetProfile. The inputs and outputs are from and created by the v2.3.17 release, with all default settings. Output files list bulk properties in header lines at the top, then physical properties of each spherically symmetric layer along with depth and radius, beginning at the surface and continuing to the center of the body. Summary graphics are grouped both by size and by solar system location, such that each model appears twice.
DOI: 10.5281/zenodo.7318029
title: PlanetProfile Python version outputs compared to models of Vance et al. (2018)

description: Plain text outputs, associated input files, and comparison figures for hydrosphere properties for PlanetProfile models analogous to those studied by Vance et al. (2018), for Europa, Ganymede, Callisto, Enceladus, and Titan. PlanetProfile is an open-source geophysical modeling framework available at https://github.com/NASA-Planetary-Science/PlanetProfile. The inputs and outputs are from and created by the v2.3.17 release, with default settings. Output files list bulk properties in header lines at the top, then physical properties of each spherically symmetric layer along with depth and radius, beginning at the surface and continuing to the center of the body. Vance et al. (2018) is available at: https://doi.org/10.1002/2017JE005341
DOI: 10.5281/zenodo.7318030
title: PlanetProfile Python version outputs compared to models of Vance et al. (2018)

description: Plain text outputs, associated input files, and comparison figures for hydrosphere properties for PlanetProfile models analogous to those studied by Vance et al. (2018), for Europa, Ganymede, Callisto, Enceladus, and Titan. PlanetProfile is an open-source geophysical modeling framework available at https://github.com/NASA-Planetary-Science/PlanetProfile. The inputs and outputs are from and created by the v2.3.3 release, with default settings + a minimum pressure resolution of 0.5 MPa and a minimum temperature resolution of 0.05 K that apply only to high-pressure ices. Output files list bulk properties in header lines at the top, then physical properties of each spherically symmetric layer along with depth and radius, beginning at the surface and continuing to the center of the body. Vance et al. (2018) is available at: https://doi.org/10.1002/2017JE005341