cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17188/1205991
title: Materials Data on Li3Mn2(PO4)3 (SG:148) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1205992
title: Materials Data on LiMnPO4 (SG:63) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1205995
title: Materials Data on Mn2(PO4)3 (SG:148) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1205996
title: Materials Data on MnPO4 (SG:43) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1205997
title: Materials Data on MnP2O7 (SG:2) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1205999
title: Materials Data on LiMnPO4 (SG:2) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206004
title: Materials Data on LiMn(PO3)3 (SG:2) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206005
title: Materials Data on Li3Mn2(PO4)3 (SG:14) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206006
title: Materials Data on Li2MnP2O7 (SG:14) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206010
title: Materials Data on Li6Mn9(PO4)8 (SG:2) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206014
title: Materials Data on LiMnPO4 (SG:14) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206015
title: Materials Data on LiMnP2O7 (SG:1) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206019
title: Materials Data on Mn2P3O10 (SG:11) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206020
title: Materials Data on MnP2O7 (SG:4) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206021
title: Materials Data on Mn(SeO3)2 (SG:14) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206022
title: Materials Data on BaMn3O6 (SG:12) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206023
title: Materials Data on Li2Mn3(P2O7)2 (SG:14) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206024
title: Materials Data on Li3Mn2P5O16 (SG:13) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206026
title: Materials Data on LiMn2P5O16 (SG:7) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206027
title: Materials Data on Li3Mn2(PO4)3 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206028
title: Materials Data on LiMnPO4 (SG:14) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206029
title: Materials Data on LiMn2(PO4)3 (SG:2) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206031
title: Materials Data on Na2MnO4 (SG:186) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206034
title: Materials Data on LiMn2P3O10 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206035
title: Materials Data on Mn(PO3)4 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206036
title: Materials Data on LiMn2(PO4)3 (SG:7) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206037
title: Materials Data on LiMn2P3O10 (SG:11) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206038
title: Materials Data on MgMn2O4 (SG:141) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206039
title: Materials Data on LiMn(PO3)4 (SG:60) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206040
title: Materials Data on Li4Mn(PO4)2 (SG:14) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206041
title: Materials Data on Mn2BO4 (SG:14) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206044
title: Materials Data on Mn2NiO4 (SG:227) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206045
title: Materials Data on LiMn2(PO4)3 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206046
title: Materials Data on Na5MnO4 (SG:31) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1206047
title: Materials Data on Li3Mn2(PO4)3 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.6084/m9.figshare.18852908
title: Supplementary Material for: Clinical Relevance of Computed Tomography Perfusion-Estimated Infarct Volume in Acute Ischemic Stroke Patients within the 6-h Therapeutic Time Window

description: <b><i>Introduction:</i></b> Although the estimated infarct volume on baseline computed tomography perfusion (CTP) can identify patients who are likely to benefit from endovascular thrombectomy (EVT) in late time window strokes, the role of CTP imaging in early time windows has not been established. We assessed the clinical impact of CTP-estimated infarct volume on long-term prognosis after EVT, particularly in patients with early time window stroke. <b><i>Methods:</i></b> We retrospectively reviewed patients who underwent pretreatment CTP and EVT for large vessel occlusion in the anterior circulation within 6 h after symptom onset between March 2014 and February 2019. The infarct volume at baseline CTP was estimated using commercially available software (RAPID, iSchemaView, Menlo Park, CA, USA) with a cerebral blood flow threshold &lt;30% of the normal brain. Risk factors for poor outcome after EVT were evaluated, and a receiver operating characteristic (ROC) curve analysis was used to identify CTP-estimated infarct volumes that optimally predicted the development of symptomatic intracranial hemorrhage (sICH) and poor outcomes (modified Rankin Scale [mRS] 3–6) at 90 days. <b><i>Results:</i></b> Of 120 patients, successful recanalization was achieved in 89 (74.2%) patients, while 61 (50.8%) showed poor outcomes at 90 days. Among 89 patients with successful recanalization after EVT, age, diabetes, clinical stroke severity, CTP-estimated infarct volume, and sICH development were independently associated with 90-day clinical outcomes. ROC analysis identified infarct volumes of ≥88.5 mL and ≥74 mL as the optimal thresholds for predicting poor outcome and development of sICH, respectively. Patients with large infarct volumes showed poorer outcomes (odds ratio [OR], 7.704; 95% confidence interval [CI], 1.528–38.839) and higher rates of sICH development (OR, 10.857; 95% CI, 1.835–64.235). Among patients with large infarction volumes (≥88.5 mL), the 90-day mRS demonstrated a shift toward better outcomes in patients with successful recanalization. <b><i>Conclusion:</i></b> Larger initial infarct volumes are significantly associated with worse clinical outcomes in patients who underwent EVT because of early time window stroke. Furthermore, our study of 6-h data demonstrated that an initial infarction of more than a certain volume might be an independent risk factor for sICH development and poor outcomes even in patients with successful recanalization. However, we still observed benefits of EVT in patients with large ischemic cores. The CTP-estimated infarct volume might be an important prognostic factor after EVT rather than a biomarker predicting treatment effectiveness.
DOI: 10.6084/m9.figshare.18852554
title: Source Data file.rar

description: <b><sub>Date of “An osmium-Peroxo complex for photoactive therapy of hypoxic”</sub></b>
DOI: 10.6084/m9.figshare.18852554.v1
title: Source Data file.rar

description: <b><sub>Date of “An osmium-Peroxo complex for photoactive therapy of hypoxic”</sub></b>
DOI: 10.15151/esrf-es-642646549
title: Structural analysis of early Eumelanin intermediates and their growth mechanisms

description: The biological pigment eumelanin protects organisms from harmful UV-radiation and shows highly promising material properties. It forms well defined spherical particles during a 3-step self-assembly process. A biomimetic procedure with appropriate pH-adjustments makes possible to address stable intermediates after all three steps in vitro. However, meaningful light scattering experiments of these species is inhibited due to a high optical density. Therefore, a time resolved SAXS experiment is proposed to investigate the underlying growth mechanism and to analyze size and shape after the first two steps.
DOI: 10.6084/m9.figshare.18795323.v1
title: Kymograph info

description: Dataset of all raw kymographs in project.
DOI: 10.6084/m9.figshare.18795323
title: Kymograph info

description: Dataset of all raw kymographs in project.
DOI: 10.5281/zenodo.5883237
title: Dataset of the manuscript "Problems and Solutions in Applying Continuous Integration and Delivery to 20 Open-Source Cyber-Physical Systems"

description: This archive contains the artifacts (datasets) for the manuscript "Problems and Solutions in Applying Continuous Integration and Delivery to 20 Open-Source Cyber-Physical Systems"
DOI: 10.34740/kaggle/dsv/3071715
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.5281/zenodo.5886170
title: Datasheet of Anti-Inflammatory Activity and Toxicity Evaluation of 1,3 bis(p-Hydroxyphenyl)urea

description: <strong>Background: </strong>Inflammation is a normal protective response caused by an injury or tissue damage, through physical trauma, damaging chemicals, or invasion of pathogenic microorganisms. One of the modified p-aminophenol compounds is 1,3 bis (p-Hydroxyphenyl) urea, which was estimated to have more potent analgesic activity and fewer hepatotoxic side effects than paracetamol. When the lipophilicity of this compound increases between 1.8 to 4.4, it is observed to serve as an an- ti-inflammatory agent. Therefore, the determination of safety precaution is very necessary while testing for the toxicity effect of 1,3 bis (p-Hydroxyphenyl) urea. This is due to the effectiveness and safety of suitable drugs. <strong>Methods: </strong>An anti-inflammatory test was carried out by measuring the per-centage of inflammation in rats, after the administration of 1,3 bis (p-Hydroxyphenyl) urea was previously induced by the carrageenan solution intraplantar and the analy- sis of neutrophil values through a plethysmometer and Hematoxylin-Eosin method. Also, an acute toxicity test was performed by administering this p-aminophenol com- pound to female rats for 24 h and observed for 14 days. In addition, a subchronic toxicity test was conducted on male and female rats for 28 days, with continuous observations carried out for 42 days. <strong>Results:</strong>The doses of 1,3 bis (p-Hydroxyphenyl) urea at 50, 100, and 200 mg/Kg BW, had anti-inflammatory activity compared to diclofenac sodium at 2.25 mg/Kg BW. Also, there is no toxicity and animal death symp-toms were observed in the acute and subchronic tests. <strong>Conlclusion:</strong>This p-aminophenol compound had an anti-inflammatory activity and relatively low toxicity.
description: The following datasheet are related to the research entitled "Anti-Inflammatory Activity and Toxicity Evaluation of 1,3 bis(p-Hydroxyphenyl)urea"
DOI: 10.5281/zenodo.5768726
title: Datasheet of Anti-Inflammatory Activity and Toxicity Evaluation of 1,3 bis(p-Hydroxyphenyl)urea

description: <strong>Background: </strong>Inflammation is a normal protective response caused by an injury or tissue damage, through physical trauma, damaging chemicals, or invasion of pathogenic microorganisms. One of the modified p-aminophenol compounds is 1,3 bis (p-Hydroxyphenyl) urea, which was estimated to have more potent analgesic activity and fewer hepatotoxic side effects than paracetamol. When the lipophilicity of this compound increases between 1.8 to 4.4, it is observed to serve as an an- ti-inflammatory agent. Therefore, the determination of safety precaution is very necessary while testing for the toxicity effect of 1,3 bis (p-Hydroxyphenyl) urea. This is due to the effectiveness and safety of suitable drugs. <strong>Methods: </strong>An anti-inflammatory test was carried out by measuring the per-centage of inflammation in rats, after the administration of 1,3 bis (p-Hydroxyphenyl) urea was previously induced by the carrageenan solution intraplantar and the analy- sis of neutrophil values through a plethysmometer and Hematoxylin-Eosin method. Also, an acute toxicity test was performed by administering this p-aminophenol com- pound to female rats for 24 h and observed for 14 days. In addition, a subchronic toxicity test was conducted on male and female rats for 28 days, with continuous observations carried out for 42 days. <strong>Results:</strong>The doses of 1,3 bis (p-Hydroxyphenyl) urea at 50, 100, and 200 mg/Kg BW, had anti-inflammatory activity compared to diclofenac sodium at 2.25 mg/Kg BW. Also, there is no toxicity and animal death symp-toms were observed in the acute and subchronic tests. <strong>Conlclusion:</strong>This p-aminophenol compound had an anti-inflammatory activity and relatively low toxicity.
description: The following datasheet are related to the research entitled "Anti-Inflammatory Activity and Toxicity Evaluation of 1,3 bis(p-Hydroxyphenyl)urea"
DOI: 10.5281/zenodo.5884631
title: pschicho/ff-eqcd: ff-eqcd

description: Public release of the lattice data for the different correlators that contribute to the force-force-correlator in hot QCD generated in https://arxiv.org/abs/2112.01407.
DOI: 10.5281/zenodo.5884630
title: pschicho/ff-eqcd: ff-eqcd

description: Public release of the lattice data for the different correlators that contribute to the force-force-correlator in hot QCD generated in https://arxiv.org/abs/2112.01407.
DOI: 10.5281/zenodo.5886176
title: RISPTS Dataset

description: Downloaded workflows from Galaxy Servers
DOI: 10.5281/zenodo.5886175
title: RISPTS Dataset

description: Downloaded workflows from Galaxy Servers