cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25921/r078-hp51
title: EK80 Water Column Sonar Data Collected During DY2104
DOI: 10.34740/kaggle/dsv/3073016
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.6084/m9.figshare.18514982.v3
title: Fitting of Japanese male vitality curves by Furukawa model of vitality.

description: Three termed gamma distribution model of vitality, Furukawa model of vitality, is found to fit human vitality curves well. For more information, please read the attached PDF file and my profile.<br> I do not know well about the background of this model, but continued researching for a long time since he gave me an EXCEL file to me. All the life table data which I tried to fit could be well fit by this model. This was the start point of my research. <br>
DOI: 10.5281/zenodo.5887564
title: Aqueduct Floods Hazard Maps extract for Tanzania

description: This contains an extract from the WRI Aqueduct global open flood dataset,<br> Version 2 (updated October 20, 2020), showing flood depth in metres for<br> coastal and river flooding under both current baseline conditions and future<br> projections in 2030, 2050, and 2080. The data has been clipped to a bounding box around Tanzania (29.321032<br> -11.731272 40.449392 -0.98583). Please see the Technical Note for further details of the full dataset and<br> methodology used to create it. License: Creative Commons Attribution 4.0 International License. Full license<br> text available at Creative Commons Attribution 4.0
DOI: 10.5281/zenodo.5887563
title: Aqueduct Floods Hazard Maps extract for Tanzania

description: This contains an extract from the WRI Aqueduct global open flood dataset,<br> Version 2 (updated October 20, 2020), showing flood depth in metres for<br> coastal and river flooding under both current baseline conditions and future<br> projections in 2030, 2050, and 2080. The data has been clipped to a bounding box around Tanzania (29.321032<br> -11.731272 40.449392 -0.98583). Please see the Technical Note for further details of the full dataset and<br> methodology used to create it. License: Creative Commons Attribution 4.0 International License. Full license<br> text available at Creative Commons Attribution 4.0
DOI: 10.6084/m9.figshare.18515021.v3
title: Conversion of parameters B and C obtained by the fitting of Japanese vitality curves with Furukawa model vitality to mode and inflection point

description: Values of parameters A, B and C in the attached EXCEL sheet are obtained by fitting of the Japanese male vitality curves(1920- 2000) by Furukawa model of vitality. <br>I converted parameters B and C to mode and inflection point of gamma distribution curve. Now the unit of parameters is age.<br>
DOI: 10.6084/m9.figshare.18857747.v1
title: Dataset for: Joint probabilistic analysis of risk for aquatic species and exceedence frequency for the agricultural use of chlorpyrifos in the Pampean region, Argentina

description: The Pampa H?meda region in Argentina is characterized by soybean, wheat, and maize production, with intensive application of agrochemicals such as herbicides and insecticides. We used a joint probabilistic approach to analyze the probabilities for environmental chlorpyrifos concentrations measured in the Pampa H?meda to exceed acute or chronic Hazard Concentration-5 (HC5) values estimated from Species Sensitivity Distributions (SSD) for aquatic species. Chlorpyrifos concentrations in water ranged from 0.0005 to 10.8 ?g/L with a median of 0.013 ?g/L. The HC5 limits were 0.0637 ?g/L for acute and 0.0007 ?g/L for chronic effects. The probabilities for chlorpyrifos environmental concentrations to exceed the HC5 values ranged from 35% (acute effects) to 96% (chronic effects). Water Quality Criteria (WQC) for the protection of aquatic life were also frequently exceeded (48%-87%) for both acute and chronic effects. Together with published threshold limit values from mesocosm studies, these data suggest that macroinvertebrate communities can be severely affected by the reported environmental concentrations of chlorpyrifos. Indeed, changes in the macroinvertebrate assemblage in the Pampa H?meda have been correlated with chlorpyrifos levels in sediments. Nevertheless, the actual impact needs to be ascertained by assessing the recovery rate of macroinvertebrate populations in this region. Considering the HC5 for chronic effects and the threshold limits for macroinvertebrate community level effects, we propose 0.7 ng/L as a new WQC to effectively protect aquatic life from long-term exposure to chlorpyrifos.
DOI: 10.6084/m9.figshare.18857747
title: Dataset for: Joint probabilistic analysis of risk for aquatic species and exceedence frequency for the agricultural use of chlorpyrifos in the Pampean region, Argentina

description: The Pampa H?meda region in Argentina is characterized by soybean, wheat, and maize production, with intensive application of agrochemicals such as herbicides and insecticides. We used a joint probabilistic approach to analyze the probabilities for environmental chlorpyrifos concentrations measured in the Pampa H?meda to exceed acute or chronic Hazard Concentration-5 (HC5) values estimated from Species Sensitivity Distributions (SSD) for aquatic species. Chlorpyrifos concentrations in water ranged from 0.0005 to 10.8 ?g/L with a median of 0.013 ?g/L. The HC5 limits were 0.0637 ?g/L for acute and 0.0007 ?g/L for chronic effects. The probabilities for chlorpyrifos environmental concentrations to exceed the HC5 values ranged from 35% (acute effects) to 96% (chronic effects). Water Quality Criteria (WQC) for the protection of aquatic life were also frequently exceeded (48%-87%) for both acute and chronic effects. Together with published threshold limit values from mesocosm studies, these data suggest that macroinvertebrate communities can be severely affected by the reported environmental concentrations of chlorpyrifos. Indeed, changes in the macroinvertebrate assemblage in the Pampa H?meda have been correlated with chlorpyrifos levels in sediments. Nevertheless, the actual impact needs to be ascertained by assessing the recovery rate of macroinvertebrate populations in this region. Considering the HC5 for chronic effects and the threshold limits for macroinvertebrate community level effects, we propose 0.7 ng/L as a new WQC to effectively protect aquatic life from long-term exposure to chlorpyrifos.
DOI: 10.25375/uct.16866196
title: Extending the annular in-plane torsional shear test specimen to applications at high strain rates.

description: The in-plane torsion test is a well-established test used for the characterisation of sheet metals. The specimen is intended to deform in planar simple shear and is designed to be machined with a continuous annular shear zone. As a result, there are no “edge effects” or geometric discontinuities to generate instabilities, thus large true strains up to 1 can be achieved. Before this research, the specimen had only been used for material characterisation in the quasi-static regime. The aim of this research was to conduct further quasi-static testing using the in-plane torsion test and to extend its use into the dynamic regime. Quasi-static tests were performed on a quasi-static torsional (QST) system that was designed to be integrated onto a Zwick universal testing machine. Dynamic tests were performed on a modified torsional split Hopkinson bar(TSHB) system. The TSHB system adopted a nested configuration which allowed for a longer incident bar, and thus larger obtainable strains. Two quick-release mechanisms were used, one using a novel reusable wedge and the other using fracture-pins. All specimens were manufactured from Al 1050 H14. Typical results agreed with material test data available in the literature. Both systems attained large strains at near-constant strain rates and together, allowed for material characterisation over a large range of strain rates. Near-uniform deformations were observed for specimens with lower strain gauge widths. An added feature of the specimen was the flat reverse face, which together with the nested configuration of both systems allows for the possibility for full-field DIC measurement in the future. An estimation method for steady-state flow stress is presented with the steady-state flow stress found to be rate dependant. Finally, a relationship between the steady-state flow stress and strain rate for all experimental results is proposed.
DOI: 10.25375/uct.16866196.v1
title: Extending the annular in-plane torsional shear test specimen to applications at high strain rates.

description: The in-plane torsion test is a well-established test used for the characterisation of sheet metals. The specimen is intended to deform in planar simple shear and is designed to be machined with a continuous annular shear zone. As a result, there are no “edge effects” or geometric discontinuities to generate instabilities, thus large true strains up to 1 can be achieved. Before this research, the specimen had only been used for material characterisation in the quasi-static regime. The aim of this research was to conduct further quasi-static testing using the in-plane torsion test and to extend its use into the dynamic regime. Quasi-static tests were performed on a quasi-static torsional (QST) system that was designed to be integrated onto a Zwick universal testing machine. Dynamic tests were performed on a modified torsional split Hopkinson bar(TSHB) system. The TSHB system adopted a nested configuration which allowed for a longer incident bar, and thus larger obtainable strains. Two quick-release mechanisms were used, one using a novel reusable wedge and the other using fracture-pins. All specimens were manufactured from Al 1050 H14. Typical results agreed with material test data available in the literature. Both systems attained large strains at near-constant strain rates and together, allowed for material characterisation over a large range of strain rates. Near-uniform deformations were observed for specimens with lower strain gauge widths. An added feature of the specimen was the flat reverse face, which together with the nested configuration of both systems allows for the possibility for full-field DIC measurement in the future. An estimation method for steady-state flow stress is presented with the steady-state flow stress found to be rate dependant. Finally, a relationship between the steady-state flow stress and strain rate for all experimental results is proposed.
DOI: 10.34740/kaggle/dsv/3073054
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.5887602
title: msd-errors - Random walk data

description: The data related to the random walk components of the msd-error work, including truly random and temporarily anti-correlated random walks at a series of system and step size. These have either be analysed numerically or analytically (using kinisi).<br><br>Created using showyourwork from this GitHub repo.<br>
DOI: 10.5517/ccdc.csd.cc2692by
title: CCDC 2034509: Experimental Crystal Structure Determination

description: Related Article: F. Kleemiss, P. Puylaert, D. Duvinage, M. Fugel, K. Sugimoto, J. Beckmann, S. Grabowsky|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|892|doi:10.1107/S2052520621009379
DOI: 10.5517/ccdc.csd.cc2692cz
title: CCDC 2034510: Experimental Crystal Structure Determination

description: Related Article: F. Kleemiss, P. Puylaert, D. Duvinage, M. Fugel, K. Sugimoto, J. Beckmann, S. Grabowsky|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|892|doi:10.1107/S2052520621009379
DOI: 10.5517/ccdc.csd.cc28n4hl
title: CCDC 2104729: Experimental Crystal Structure Determination

description: Related Article: Aurélien R. Willauer, Iskander Douair, Anne-Sophie Chauvin, Farzaneh Fadaei-Tirani, Jean-Claude G. Bünzli, Laurent Maron, Marinella Mazzanti|2022|Chemical Science|13|681|doi:10.1039/D1SC05517H
DOI: 10.5517/ccdc.csd.cc29wl3x
title: CCDC 2141669: Experimental Crystal Structure Determination

description: Related Article: L. Liu, Z.-B. Han|2022|IUCrData|7|x220046|doi:10.1107/S2414314622000463
DOI: 10.6084/m9.figshare.18857444
title: ChAc shape_analysis_P3.zip.005

description: This dataset is part 5 of the red blood cell shape analysis data for P3 presented in the manuscript Reichel et al., 2021, Changes in blood cell deformability in Chorea-Acanthocytosis and effects of treatment with dasatinib or lithium.
DOI: 10.6084/m9.figshare.14749524
title: Elemental and macromolecular composition of three species of Chloropicophyceae

description: Elemental and macromolecular composition of three species of Chloropicophyceae grown under non-limiting (t=0) and nitrogen starvation conditions(t&gt;0). To achieve N-starvation, cultures in balanced growth (t=0) were transferred into N-free media and monitor over time.<br>For more details see Ebenezer et al (2021) doi 10.1002/lno.12013<br>
DOI: 10.6084/m9.figshare.14749524.v1
title: Elemental and macromolecular composition of three species of Chloropicophyceae

description: Elemental and macromolecular composition of three species of Chloropicophyceae grown under non-limiting (t=0) and nitrogen starvation conditions(t&gt;0). To achieve N-starvation, cultures in balanced growth (t=0) were transferred into N-free media and monitor over time.<br>For more details see Ebenezer et al (2021) doi 10.1002/lno.12013<br>
DOI: 10.5281/zenodo.5881905
title: multi-model metrics of daily sea-ice concentrations from CMIP6 models

description: Multi-model metrics of daily mean sea-ice concentrations from 9 CMIP6 models: ACCESS-CM2 CanESM5 CNRM-ESM2.1 EC-Earth3 EC-Earth3-Veg IPSL-CM6A-LR MIROC6 MRI-ESM2 NorESM2-LM Metrics are mean, median, standard deviation, minimum and maximum sea-ice concentrations.
DOI: 10.5519/qd.nk9cr6pk
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5009480 records)
DOI: 10.13145/bacdive109053.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109054.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109055.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109056.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109057.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109058.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109059.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109060.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109061.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109062.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109063.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109064.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109065.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109066.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109067.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109068.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109069.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109070.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109071.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109072.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109073.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109074.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109075.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109076.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109077.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109078.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109079.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109080.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109081.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109082.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109083.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109084.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109085.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109086.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109087.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109088.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109089.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109090.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109091.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109092.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109093.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109094.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109095.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109096.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109097.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109098.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109099.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.