cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc26s2rv
title: CCDC 2048937: Experimental Crystal Structure Determination

description: Related Article: Ying-Ying Zhang, Mingjun Hu, Zhichao Shao, Chao Huang, Qi Qin, Liwei Mi|2021|CrystEngComm|23|5184|doi:10.1039/D1CE00332A
DOI: 10.5517/ccdc.csd.cc26zn51
title: CCDC 2055243: Experimental Crystal Structure Determination

description: Related Article: Xiuli Wang, Lei Li, Xiang Wang, Yuqing Zhang|2021|CrystEngComm|23|5176|doi:10.1039/D1CE00266J
DOI: 10.5517/ccdc.csd.cc26zn62
title: CCDC 2055244: Experimental Crystal Structure Determination

description: Related Article: Xiuli Wang, Lei Li, Xiang Wang, Yuqing Zhang|2021|CrystEngComm|23|5176|doi:10.1039/D1CE00266J
DOI: 10.5517/ccdc.csd.cc26zn73
title: CCDC 2055245: Experimental Crystal Structure Determination

description: Related Article: Xiuli Wang, Lei Li, Xiang Wang, Yuqing Zhang|2021|CrystEngComm|23|5176|doi:10.1039/D1CE00266J
DOI: 10.5517/ccdc.csd.cc26zn84
title: CCDC 2055246: Experimental Crystal Structure Determination

description: Related Article: Xiuli Wang, Lei Li, Xiang Wang, Yuqing Zhang|2021|CrystEngComm|23|5176|doi:10.1039/D1CE00266J
DOI: 10.5517/ccdc.csd.cc26zn95
title: CCDC 2055247: Experimental Crystal Structure Determination

description: Related Article: Xiuli Wang, Lei Li, Xiang Wang, Yuqing Zhang|2021|CrystEngComm|23|5176|doi:10.1039/D1CE00266J
DOI: 10.5517/ccdc.csd.cc273c0r
title: CCDC 2058803: Experimental Crystal Structure Determination

description: Related Article: Mirosław Mączka, Anna Gągor, Jan. K. Zaręba, Monika Trzebiatowska, Dagmara Stefańska, Edyta Kucharska, Jerzy Hanuza, Norbert Pałka, Elżbieta Czerwińska, Adam Sieradzki|2021|Dalton Trans.|50|10580|doi:10.1039/D1DT01675J
DOI: 10.5517/ccdc.csd.cc273c1s
title: CCDC 2058804: Experimental Crystal Structure Determination

description: Related Article: Mirosław Mączka, Anna Gągor, Jan. K. Zaręba, Monika Trzebiatowska, Dagmara Stefańska, Edyta Kucharska, Jerzy Hanuza, Norbert Pałka, Elżbieta Czerwińska, Adam Sieradzki|2021|Dalton Trans.|50|10580|doi:10.1039/D1DT01675J
DOI: 10.5517/ccdc.csd.cc274kzy
title: CCDC 2059980: Experimental Crystal Structure Determination

description: Related Article: Maxime Laurans, Jordann A. L. Wells, Sascha Ott|2021|Dalton Trans.|50|10482|doi:10.1039/D1DT01331A
DOI: 10.5517/ccdc.csd.cc274kyx
title: CCDC 2059979: Experimental Crystal Structure Determination

description: Related Article: Maxime Laurans, Jordann A. L. Wells, Sascha Ott|2021|Dalton Trans.|50|10482|doi:10.1039/D1DT01331A
DOI: 10.6084/m9.figshare.15105237
title: Genetically-induced redox stress occurs in a yeast model for Roberts Syndrome

description: Raw data files (micrographs, Western blots, Excel spread sheets of fluorescent intensities, cell viabilities, etc) in support of the manuscript titled "Genetically-induced Redox Stress Occurs in a Yeast Model for Roberts Syndrome" by Mfarej and Skibbens.<br>
DOI: 10.6084/m9.figshare.14046959
title: Georeferencing fossiliferous localities from Solimões and Acre Basins (Brazil) - what we know so far about Solimões Formation and future perspectives

description: This is the Supplementary Material of the paper entitled "Georeferencing fossiliferous localities from Solimões and Acre Basins (Brazil) - what we know so far about Solimões Formation and future perspectives" by Mauro Lacerda, Pedro Romano, Kamila Bandeira, and Lucy Souza. <br> The informations provided here are an inextricable part of the abovementioned paper and anyone who wishes to publish results using these information should cite Lacerda et al. (2021). <br> Several fossiliferous localities included in the present database refer to the literature produced by the Brazilian paleontologist Diogenes de Almeida Campos. Therefore, it is not by chance that the work is part of a special volume of the Anais da Academia Brasileira de Ciências (Annals of the Brazilian Academy of Sciences) in his honor. <br>How to cite:<br><b><br></b><b>LACERDA MBS, ROMANO PSR, BANDEIRA KLN & SOUZA LG.</b> 2021. Georeferencing fossiliferous localities from Solimões and Acre Basins (Brazil) - what we know so far about Solimões Formation and future perspectives. An Acad Bras Cienc 93: e20201462. DOI 10.1590/0001-3765202120201642.<br><br>
DOI: 10.25934/00007233
title: Evaluating the outcomes and characterisation of atrial fibrillation

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25625/tuoxix/d4jtnb
title: Table_2.tab

description: Properties and submission details of the obtained meta genomic data.
DOI: 10.25625/tuoxix/niwdfp
title: Table_1.tab

description: Chemical properties of investigates sediment samples.
DOI: 10.25625/tuoxix
title: Metagenomics of the Kamchatka peninsula

description: This dataset provides information about chemical as well as meta genomic data obtained by sequencing of two hots spring sediments collected on the Kamchatka peninsula.
DOI: 10.25949/15094407
title: Levels of health literacy among Australians with chronic conditions engaging with healthcare providers and navigating the health system

description: Health literacy plays an important role in improving person-centred care and population health outcomes. With the rate of chronic conditions increasing globally, it is important to understand the associations between levels of health literacy and the ability to navigate and engage with the healthcare system. A 39-item survey was designed and distributed to Australian adults aged ≥ 18. Participants were recruited between 29 November and 14 December 2018. In addition to researcher-devised and consumer-devised questions, items about self-reported health status, health conditions and PHI were drawn from the National Health Survey. Questions about financial stress were derived from the Household, Income and Labour Dynamics in Australia (HILDA) survey. Questions about care affordability were drawn from the Commonwealth Fund survey and questions about accessibility were sourced from the Menzies-Nous surveys. Questions about diagnosed chronic conditions were defined by the AIHW. Minor post-weighting adjustments were made by age, sex and state to ensure the data accurately reflected population distribution according to the Australian Bureau of Statistics in June 2018. Data were analysed using descriptive and inferential statistics (IBM SPSS Statistics V24). Weighting was undertaken through a survey raking technique using the anesrake package in R.The full survey questions are included in file 2, and with codes that correspond to the datasheet. <br>
DOI: 10.25949/15094407.v1
title: Levels of health literacy among Australians with chronic conditions engaging with healthcare providers and navigating the health system

description: Health literacy plays an important role in improving person-centred care and population health outcomes. With the rate of chronic conditions increasing globally, it is important to understand the associations between levels of health literacy and the ability to navigate and engage with the healthcare system. A 39-item survey was designed and distributed to Australian adults aged ≥ 18. Participants were recruited between 29 November and 14 December 2018. In addition to researcher-devised and consumer-devised questions, items about self-reported health status, health conditions and PHI were drawn from the National Health Survey. Questions about financial stress were derived from the Household, Income and Labour Dynamics in Australia (HILDA) survey. Questions about care affordability were drawn from the Commonwealth Fund survey and questions about accessibility were sourced from the Menzies-Nous surveys. Questions about diagnosed chronic conditions were defined by the AIHW. Minor post-weighting adjustments were made by age, sex and state to ensure the data accurately reflected population distribution according to the Australian Bureau of Statistics in June 2018. Data were analysed using descriptive and inferential statistics (IBM SPSS Statistics V24). Weighting was undertaken through a survey raking technique using the anesrake package in R.The full survey questions are included in file 2, and with codes that correspond to the datasheet. <br>
DOI: 10.5281/zenodo.5155244
title: Sea ice, snow and melt pond example data from MOSAiC transect observations

description: This data set contains in-situ observation of sea ice, snow and melt pond properties from two days in winter (January 23, 2020) and summer (July 7, 2020) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. It originates from two sensors: Broad-band electromagnetic induction sensor (Geophex GEM-2) measuring the combined thickness of the sea ice and snow layers A GPS snow depth probe (Snow-Hydro MagnaProbe) measuring the thickness of the snow layer and melt ponds depth during summer Both sensors were operated coincidently along transect loops while different loops were used in both days. This data set is a subset of similar weekly activities between October 2019 and September 2020. This publication intends to provide a preview of the data properties and approximate changes between the winter and summer periods. It also has to be noted, that the final data of the EM induction sensor might differ from this release, which is based on a quick-look processing directly after data acquisition. <em>GEM-2 data files</em> The file format of GEM-2 data is a text file with comma-separated values. Notable parameters are: ‘time’: UTC time ‘longitude’: Longitude in degrees east (fill value: 0.0) ‘latitude’: Latitude in degrees north (fill value: 0.0) ‘`f{frequency}Hz_hcp_{i:Inphase|q:Quadrature}`: total (ice + snow) thickness of the sea ice and snow layers in meter for different channels* *The channels correspond to the real (Inphase) or imaginary (Quadrature) part of the EM signal at a given frequency. The variable name in the csv file is to be read as `f{frequency}Hz_hcp_{i:Inphase|q:Quadrature}`. It is recommended to use the Inphase component of the 18.325 kHz frequency (variable `f18325Hz_hcp_i`) for analysis. <em>MagnaProbe data files</em> The file format of MagnaProbe data is a text file with comma-separated values. Notable parameters are: `timestamp`: Timestamp `longitude_a`: longitude degree in degrees east `longitude_b`: longitude minute `latitude_a`: latitude degree in degrees north `latitude_b`: latitude minute `depthCm`: Snow thickness or melt ponds depth in cm `flag`: flag value indicating the type or measurement* Flag values are: -1 : melt pond 1 : snow or surface scattering layer depth, 2 : mixed surface type when pond water pools at the base of a melting The filenames follow the naming convention of &lt;sensor&gt;-mosaic-transect-&lt;date&gt;-&lt;device-operations-id&gt;.csv with the device operation id as a unique identifier of the sensor raw data within the MOSAiC project.
description: GEM-2 and MagnaProbe data were collected as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 and the Project_ID: AWI_PS122_00.
DOI: 10.5281/zenodo.5155243
title: Sea ice, snow and melt pond example data from MOSAiC transect observations

description: This data set contains in-situ observation of sea ice, snow and melt pond properties from two days in winter (January 23, 2020) and summer (July 7, 2020) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. It originates from two sensors: Broad-band electromagnetic induction sensor (Geophex GEM-2) measuring the combined thickness of the sea ice and snow layers A GPS snow depth probe (Snow-Hydro MagnaProbe) measuring the thickness of the snow layer and melt ponds depth during summer Both sensors were operated coincidently along transect loops while different loops were used in both days. This data set is a subset of similar weekly activities between October 2019 and September 2020. This publication intends to provide a preview of the data properties and approximate changes between the winter and summer periods. It also has to be noted, that the final data of the EM induction sensor might differ from this release, which is based on a quick-look processing directly after data acquisition. <em>GEM-2 data files</em> The file format of GEM-2 data is a text file with comma-separated values. Notable parameters are: ‘time’: UTC time ‘longitude’: Longitude in degrees east (fill value: 0.0) ‘latitude’: Latitude in degrees north (fill value: 0.0) ‘`f{frequency}Hz_hcp_{i:Inphase|q:Quadrature}`: total (ice + snow) thickness of the sea ice and snow layers in meter for different channels* *The channels correspond to the real (Inphase) or imaginary (Quadrature) part of the EM signal at a given frequency. The variable name in the csv file is to be read as `f{frequency}Hz_hcp_{i:Inphase|q:Quadrature}`. It is recommended to use the Inphase component of the 18.325 kHz frequency (variable `f18325Hz_hcp_i`) for analysis. <em>MagnaProbe data files</em> The file format of MagnaProbe data is a text file with comma-separated values. Notable parameters are: `timestamp`: Timestamp `longitude_a`: longitude degree in degrees east `longitude_b`: longitude minute `latitude_a`: latitude degree in degrees north `latitude_b`: latitude minute `depthCm`: Snow thickness or melt ponds depth in cm `flag`: flag value indicating the type or measurement* Flag values are: -1 : melt pond 1 : snow or surface scattering layer depth, 2 : mixed surface type when pond water pools at the base of a melting The filenames follow the naming convention of &lt;sensor&gt;-mosaic-transect-&lt;date&gt;-&lt;device-operations-id&gt;.csv with the device operation id as a unique identifier of the sensor raw data within the MOSAiC project.
description: GEM-2 and MagnaProbe data were collected as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 and the Project_ID: AWI_PS122_00.
DOI: 10.6084/m9.figshare.15074544
title: Datasets

description: <b>The effect of ingestion of Red dragon fruit extract on levels of malondialdehyde and superoxide dismutase after strenuous exercise in rats (<i>Rattus norvegicus</i>)</b> Gusbakti R<sup>1</sup>, Syafrudin Ilyas<sup>2</sup>, I Nyoman Ehrich Lister<sup>3</sup>, Chrismis N Ginting<sup>4</sup><b><br></b><b>Background: </b>Prolonged activation of skeletal muscles causes a decrease in the production of force known as Fatigue. Exercise with strenuous intensity causes an increase in Reactive Oxygen Species (ROS). An increase in free radicals causes oxidative stress resulting in damage to cell function to mitochondrial dysfunction, and Fatigue. This study aimed to determine the antioxidant potential of red dragon fruit (RDF) to delay Fatigue due to oxidative stress, which improves cell function in mitochondria.<b>Methodology: </b>The subjects of this study consisted of twenty-five male rats <i>(Rattus norvegicus)</i> aged three months with an average weight of 200 grams. The subjects were further divided into 5 groups consist of; group K1 was N.A. (No Activity) but drinking and eating. Group K2 performed strenuous exercise without Red Dragon Fruit (NRDF) treatment. Groups 3, 4, and 5 performed strenuous exercise and were treated with 75 mg kg<sup>-1</sup>.bw, 150 mg kg<sup>-1</sup>.bw, and 300 mg kg<sup>-1</sup>.bw of RDF extract, respectively. The exercise for the rats involved intense swimming for 20 minutes every day, four days a week for 31 days. Malondialdehyde (MDA) and superoxide dismutase (SOD) were measured with the ELISA method and analysed of hematoxylin and eosin dyed paraffin of the embedded part of the soleus muscle under an optical microscope and record the results.<b>Results: </b>Strenuous exercise followed by RDF extract ingestion was compared for Fatigue in terms of duration and time; before (24.55±1.38 minute) and after (95.31±7.82 minute) and led to a significant difference of 39% (p&lt;0.01). The study also compared MDA before and after RDF extract ingestion in the K2 vs. the P1 group (p&lt;0.05). At the same time, RDF treatment can increase SOD significantly (P &lt;0.05). Indicated a spread of free radicals and featured histopathological damage of muscle cells. Severe inflammation and necrosis of muscle tissues were observed in histopathology in the K1, K2, P1, and P2 groups; only mild inflammation and necrosis were observed in the P3 group (300 mg kg<sup>-1</sup>.bw of RDF extract). Ingestion of RDF extract leads to improvement of soleus muscle cells; thus, repairs cell function, delaying Fatigue. <b>Conclusion: </b>This study confirmed that strenuous exercise, which causes an increase in ROS, intensifies free radicals with RDF extract ingestion and declines oxidative stress, repairing cell function and delaying Fatigue. Keywords: Red Dragon Fruit (RDF), Strenuous exercise, MDA, Improved cell function, Fatigue <br>
DOI: 10.6084/m9.figshare.15074544.v4
title: Datasets

description: <b>The effect of ingestion of Red dragon fruit extract on levels of malondialdehyde and superoxide dismutase after strenuous exercise in rats (<i>Rattus norvegicus</i>)</b> Gusbakti R<sup>1</sup>, Syafrudin Ilyas<sup>2</sup>, I Nyoman Ehrich Lister<sup>3</sup>, Chrismis N Ginting<sup>4</sup><b><br></b><b>Background: </b>Prolonged activation of skeletal muscles causes a decrease in the production of force known as Fatigue. Exercise with strenuous intensity causes an increase in Reactive Oxygen Species (ROS). An increase in free radicals causes oxidative stress resulting in damage to cell function to mitochondrial dysfunction, and Fatigue. This study aimed to determine the antioxidant potential of red dragon fruit (RDF) to delay Fatigue due to oxidative stress, which improves cell function in mitochondria.<b>Methodology: </b>The subjects of this study consisted of twenty-five male rats <i>(Rattus norvegicus)</i> aged three months with an average weight of 200 grams. The subjects were further divided into 5 groups consist of; group K1 was N.A. (No Activity) but drinking and eating. Group K2 performed strenuous exercise without Red Dragon Fruit (NRDF) treatment. Groups 3, 4, and 5 performed strenuous exercise and were treated with 75 mg kg<sup>-1</sup>.bw, 150 mg kg<sup>-1</sup>.bw, and 300 mg kg<sup>-1</sup>.bw of RDF extract, respectively. The exercise for the rats involved intense swimming for 20 minutes every day, four days a week for 31 days. Malondialdehyde (MDA) and superoxide dismutase (SOD) were measured with the ELISA method and analysed of hematoxylin and eosin dyed paraffin of the embedded part of the soleus muscle under an optical microscope and record the results.<b>Results: </b>Strenuous exercise followed by RDF extract ingestion was compared for Fatigue in terms of duration and time; before (24.55±1.38 minute) and after (95.31±7.82 minute) and led to a significant difference of 39% (p&lt;0.01). The study also compared MDA before and after RDF extract ingestion in the K2 vs. the P1 group (p&lt;0.05). At the same time, RDF treatment can increase SOD significantly (P &lt;0.05). Indicated a spread of free radicals and featured histopathological damage of muscle cells. Severe inflammation and necrosis of muscle tissues were observed in histopathology in the K1, K2, P1, and P2 groups; only mild inflammation and necrosis were observed in the P3 group (300 mg kg<sup>-1</sup>.bw of RDF extract). Ingestion of RDF extract leads to improvement of soleus muscle cells; thus, repairs cell function, delaying Fatigue. <b>Conclusion: </b>This study confirmed that strenuous exercise, which causes an increase in ROS, intensifies free radicals with RDF extract ingestion and declines oxidative stress, repairing cell function and delaying Fatigue. Keywords: Red Dragon Fruit (RDF), Strenuous exercise, MDA, Improved cell function, Fatigue <br>
DOI: 10.5281/zenodo.5159521
title: The streamflow discharge, water chemical and isotopic data of the Binggou and Yakou catchments in 2017

description: This is the streamflow discharge, water chemical and isotopic data of the Binggou and Yakou catchments collected in 2017
DOI: 10.6084/m9.figshare.13190858
title: Time series of fluxes, biochemical and spectral variables simulated with SCOPE model and acquired in a Mediterranean grassland for SSA.

description: The dataset contains:Time series of fluxes, biochemical and spectral variables simulated with Soil Canopy Observation of Photochemistry and Energy fluxes (SCOPE) model, parameterized using structural vegetation parameters as well as meteorological data from the research station of Majadas de Tiétar (39°56′24.68″N, 5°45′50.27″W) (Cáceres, Spain)Time series of fluxes and spectral variables measured with high-resolution device FloX in Majadas de Tiétar (39°56′24.68″N, 5°45′50.27″W) (Cáceres, Spain)Time series of simulated and measured Photochemical Reflectance Index (PRI), far-red solar-induced chlorophyll fluorescence and apparent far-red fluorescence yield decomposed into seasonal, diurnal and sub-diurnal components with Singular Spectrum Analysis
DOI: 10.6084/m9.figshare.13190858.v1
title: Time series of fluxes, biochemical and spectral variables simulated with SCOPE model for Singular Spectrum Analysis

description: The dataset contains:Time series of fluxes, biochemical and spectral variables simulated with Soil Canopy Observation of Photochemistry and Energy fluxes (SCOPE) model, parameterized using structural vegetation parameters as well as meteorological data from the research station of Majadas de Tiétar (39°56′24.68″N, 5°45′50.27″W) (Cáceres, Spain)Time series of decomposed Photochemical Reflectance Index, far-red solar-induced chlorophyll fluorescence and far-red fluorescence yield into seasonal, diurnal and sub-diurnal components with Singular Spectrum Analysis
DOI: 10.15468/4ad4nu
title: ODONATA, DRAGONFLIES OF GUAM

description: This dataset contains the digitized treatments in Plazi based on the original book chapter SWEZEY, O. H., WILLIAMS, F. X. (1942): ODONATA, DRAGONFLIES OF GUAM. In: Insects of Guam I. Honolulu, Hawaii: Bernice P. Bishop Museum, Bulletin 172: 3-6, DOI: http://doi.org/10.5281/zenodo.5159515
DOI: 10.5281/zenodo.2579165
title: Density Functional Theory Calculations of Segregation Tendency of Cu and Zn in Al3Zr Dispersoid Particles

description: The .zip archive contains data related to DFT calculations published in the paper: Dispersoid Composition in Zirconium Containing Al-Zn-Mg-Cu (AA7010) Aluminium Alloy<br> A.M. Cassell, J. D. Robson, C. P. Race, A. Eggeman, T. Hashimoto, M. Besel. Submitted to Acta Materialia. Archive contains a set of .txt files, each of which contains the total energies of a series of simulations along with several other output fields and descriptive fields. The Archive also contains a .ipynb Jupyter (Python) Notebook, which contains descriptions of the .txt files, the code required to import them and the analysis required to produce the figure in the published paper.
description: CPR was funded by a University Research Fellowship of the Royal Society