cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23898957
title: Supplementary Material for: Possible Influence of Ethnicity on CT Perfusion Parameter Thresholds in Acute Ischemic Stroke

description: Introduction Tissue at risk, as estimated by CT perfusion utilizing Tmax+6, correlates with final infarct volume (FIV) in acute ischemic stroke (AIS) without reperfusion. Tmax thresholds are derived from Western ethnic populations but not from ethnic Asian populations. We aimed to investigate the influence of ethnicity on Tmax thresholds. Methods From a clinical-imaging registry of Australian and Indonesian stroke patients, we selected a participant subgroup with the following inclusion criteria: AIS under 24 hours and absence of reperfusion therapy. Clinical data included demographics, time metrics, stroke severity, premorbid, and 3-month Modified Rankin Score. Baseline CTP and MRI &lt;72 hours were performed. Volumes of Tmax utilizing different thresholds and final infarct volumes (FIV) were calculated. Spearman correlation was used to evaluate relationship involving ordinal variables and calculate the optimal Tmax threshold against FIV in both populations. Results Two hundred patients were included in the study sample 100 in Jakarta and 100 in Geelong. The median National Institutes Health Stroke Scale (IQR) were 6(3-11) and 3(1-5), respectively. The median Tmax+6(IQR) was 0 (0-46.5) in Jakarta group and 0(0-7.5) in Geelong group. The median FIV(IQR) was 0 (0-30.5) and 0 (0-5.5). Tmax +8s in Jakarta population against FIV showed Spearman’s coefficient =0.72, representing the optimal Tmax threshold. Tmax+6s showed Spearman’s coefficient =0.51 against FIV in the Geelong population. Conclusions Tmax thresholds approximating FIV were possibly different in the Asian when compared with the non-Asian populations. Future studies are required to extend and confirm the validity of our findings.
DOI: 10.6084/m9.figshare.23898957.v1
title: Supplementary Material for: Possible Influence of Ethnicity on CT Perfusion Parameter Thresholds in Acute Ischemic Stroke

description: Introduction Tissue at risk, as estimated by CT perfusion utilizing Tmax+6, correlates with final infarct volume (FIV) in acute ischemic stroke (AIS) without reperfusion. Tmax thresholds are derived from Western ethnic populations but not from ethnic Asian populations. We aimed to investigate the influence of ethnicity on Tmax thresholds. Methods From a clinical-imaging registry of Australian and Indonesian stroke patients, we selected a participant subgroup with the following inclusion criteria: AIS under 24 hours and absence of reperfusion therapy. Clinical data included demographics, time metrics, stroke severity, premorbid, and 3-month Modified Rankin Score. Baseline CTP and MRI &lt;72 hours were performed. Volumes of Tmax utilizing different thresholds and final infarct volumes (FIV) were calculated. Spearman correlation was used to evaluate relationship involving ordinal variables and calculate the optimal Tmax threshold against FIV in both populations. Results Two hundred patients were included in the study sample 100 in Jakarta and 100 in Geelong. The median National Institutes Health Stroke Scale (IQR) were 6(3-11) and 3(1-5), respectively. The median Tmax+6(IQR) was 0 (0-46.5) in Jakarta group and 0(0-7.5) in Geelong group. The median FIV(IQR) was 0 (0-30.5) and 0 (0-5.5). Tmax +8s in Jakarta population against FIV showed Spearman’s coefficient =0.72, representing the optimal Tmax threshold. Tmax+6s showed Spearman’s coefficient =0.51 against FIV in the Geelong population. Conclusions Tmax thresholds approximating FIV were possibly different in the Asian when compared with the non-Asian populations. Future studies are required to extend and confirm the validity of our findings.
DOI: 10.5517/cc1jnz16
title: CCDC 1420328: Experimental Crystal Structure Determination

description: Related Article: Narinder Singh|2015|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc231t66
title: CCDC 1938157: Experimental Crystal Structure Determination

description: Related Article: Manjit K. Bhattacharyya, Debajit Dutta, Swah Mohd. Nashre-ul-Islam, Antonio Frontera, Pranay Sharma, Akalesh K. Verma, Amal Das|2020|Inorg.Chim.Acta|501|119233|doi:10.1016/j.ica.2019.119233
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc23hk7f
title: CCDC 1951364: Experimental Crystal Structure Determination

description: Related Article: Yutao Rao,  Wenjing Zhou,  Ling Xu,  Mingbo Zhou,  Bangshao Yin,  Takayuki Tanaka,  Atsuhiro Osuka,  Jianxin Song|2019|J.Am.Chem.Soc.|141|18836|doi:10.1021/jacs.9b10270
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.ccwb7v8
title: CCDC 814210: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Damir Safin|2019|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc245rbf
title: CCDC 1971734: Experimental Crystal Structure Determination

description: Related Article: Tian‐Cheng Wu, Fang‐Zheng Zhao, Qiao‐Long Hu, Yi‐Shun Cui, Ting‐Hong Huang, Dan Zheng, Qiang Liu, Ying Lei, Lin Jia, Cheng Luo|2020|Appl.Organomet.Chem.|34|e5691|doi:10.1002/aoc.5691
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc245rcg
title: CCDC 1971735: Experimental Crystal Structure Determination

description: Related Article: Tian‐Cheng Wu, Fang‐Zheng Zhao, Qiao‐Long Hu, Yi‐Shun Cui, Ting‐Hong Huang, Dan Zheng, Qiang Liu, Ying Lei, Lin Jia, Cheng Luo|2020|Appl.Organomet.Chem.|34|e5691|doi:10.1002/aoc.5691
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc245rdh
title: CCDC 1971736: Experimental Crystal Structure Determination

description: Related Article: Tian‐Cheng Wu, Fang‐Zheng Zhao, Qiao‐Long Hu, Yi‐Shun Cui, Ting‐Hong Huang, Dan Zheng, Qiang Liu, Ying Lei, Lin Jia, Cheng Luo|2020|Appl.Organomet.Chem.|34|e5691|doi:10.1002/aoc.5691
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc245rfj
title: CCDC 1971737: Experimental Crystal Structure Determination

description: Related Article: Tian‐Cheng Wu, Fang‐Zheng Zhao, Qiao‐Long Hu, Yi‐Shun Cui, Ting‐Hong Huang, Dan Zheng, Qiang Liu, Ying Lei, Lin Jia, Cheng Luo|2020|Appl.Organomet.Chem.|34|e5691|doi:10.1002/aoc.5691
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25wvsq
title: CCDC 2022774: Experimental Crystal Structure Determination

description: Related Article: Christopher P. Landee,,Emma Kirkman-Davis, Matthew I. J. Polson, Mark M. Turnbull, Jan L. Wikaira|2021|J.Coord.Chem.|74|266|doi:10.1080/00958972.2020.1856825
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25bn06
title: CCDC 2006227: Experimental Crystal Structure Determination

description: Related Article: Giliandro Farias, Cristian A. M. Salla, Renata S. Heying, Adailton J. Bortoluzzi, Sergio F. Curcio, Thiago Cazati, Paloma L. dos Santos, Andrew P. Monkman, Bernardo de Souza, Ivan H. Bechtold|2020|J.Mater.Chem.C|8|14595|doi:10.1039/D0TC03660A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5258/soton/d2545
title: Dataset in support of the Southampton doctoral thesis 'Type-spread and multiple-access molecular communications'

description: Matlab files in support of the thesis 'Type-spread and multiple-access molecular communications'
DOI: 10.6084/m9.figshare.23896494
title: Source data-Main article.xlsx

description: Two-photon absorption (TPA) fluorescence imaging holds great promise in diagnostics and biomedicine owing to its unparalleled spatiotemporal resolution. However, the adaptability and applicability of currently available TPA probes, which act as a critical element for determining the imaging contrast effect, is severely challenged by limited photo-luminescence<i> in vivo</i>. This is particularly a result of uncontrollable aggregation that causes fluorescence quenching, and inevitable photo-oxidation in harsh physiological milieu, which normally leads to bleaching of the dye. Herein, we describe the remarkably enhanced TPA fluorescence imaging capacity of self-assembling near-infrared (NIR) cyanine dye-based nanoprobes (NPs), which can be explained by a photo-oxidation enhanced emission mechanism. Singlet oxygen generated during photo-oxidation enables chromophore dimerization to form TPA intermediates responsible for enhanced TPA fluorescence emission. The resulting NPs possess uniform size distribution, excellent stability, more favorable TPA cross-section and anti-bleaching ability than a popular TPA probe rhodamine B (RhB). These properties of cyanine dye-based TPA NPs promote their applications in visualizing blood circulation and tumoral accumulation in real-time, even to cellular imaging <i>in vivo</i><i>.</i> The photo-oxidation enhanced emission mechanism observed in these near-infrared cyanine dye-based nanoaggregates opens an avenue for design and development of more advanced TPA fluorescence probes.
DOI: 10.6084/m9.figshare.23896494.v2
title: Source data-Main article.xlsx

description: Two-photon absorption (TPA) fluorescence imaging holds great promise in diagnostics and biomedicine owing to its unparalleled spatiotemporal resolution. However, the adaptability and applicability of currently available TPA probes, which act as a critical element for determining the imaging contrast effect, is severely challenged by limited photo-luminescence<i> in vivo</i>. This is particularly a result of uncontrollable aggregation that causes fluorescence quenching, and inevitable photo-oxidation in harsh physiological milieu, which normally leads to bleaching of the dye. Herein, we describe the remarkably enhanced TPA fluorescence imaging capacity of self-assembling near-infrared (NIR) cyanine dye-based nanoprobes (NPs), which can be explained by a photo-oxidation enhanced emission mechanism. Singlet oxygen generated during photo-oxidation enables chromophore dimerization to form TPA intermediates responsible for enhanced TPA fluorescence emission. The resulting NPs possess uniform size distribution, excellent stability, more favorable TPA cross-section and anti-bleaching ability than a popular TPA probe rhodamine B (RhB). These properties of cyanine dye-based TPA NPs promote their applications in visualizing blood circulation and tumoral accumulation in real-time, even to cellular imaging <i>in vivo</i><i>.</i> The photo-oxidation enhanced emission mechanism observed in these near-infrared cyanine dye-based nanoaggregates opens an avenue for design and development of more advanced TPA fluorescence probes.
DOI: 10.6084/m9.figshare.23898987
title: Stiffness - File 6 - MixedEffectsModelingPlots from On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data

description: Code for LMEMs plots
DOI: 10.6084/m9.figshare.23898987.v1
title: Stiffness - File 6 - MixedEffectsModelingPlots from On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data

description: Code for LMEMs plots
DOI: 10.6084/m9.figshare.23896494.v1
title: Source data-Main article.xlsx

description: Two-photon absorption (TPA) fluorescence imaging holds great promise in diagnostics and biomedicine owing to its unparalleled spatiotemporal resolution. However, the adaptability and applicability of currently available TPA probes, which act as a critical element for determining the imaging contrast effect, is severely challenged by limited photo-luminescence<i> in vivo</i>. This is particularly a result of uncontrollable aggregation that causes fluorescence quenching, and inevitable photo-oxidation in harsh physiological milieu, which normally leads to bleaching of the dye. Herein, we describe the remarkably enhanced TPA fluorescence imaging capacity of self-assembling near-infrared (NIR) cyanine dye-based nanoprobes (NPs), which can be explained by a photo-oxidation enhanced emission mechanism. Singlet oxygen generated during photo-oxidation enables chromophore dimerization to form TPA intermediates responsible for enhanced TPA fluorescence emission. The resulting NPs possess uniform size distribution, excellent stability, more favorable TPA cross-section and anti-bleaching ability than a popular TPA probe rhodamine B (RhB). These properties of cyanine dye-based TPA NPs promote their applications in visualizing blood circulation and tumoral accumulation in real-time, even to cellular imaging <i>in vivo</i><i>.</i> The photo-oxidation enhanced emission mechanism observed in these near-infrared cyanine dye-based nanoaggregates opens an avenue for design and development of more advanced TPA fluorescence probes.
DOI: 10.6084/m9.figshare.23898990.v1
title: Stiffness - File 2 - Autocorrelation & Hypothesis Test from On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data

description: Code for computation of Autocorrelation % Hypothesis Test
DOI: 10.6084/m9.figshare.23898990
title: Stiffness - File 2 - Autocorrelation & Hypothesis Test from On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data

description: Code for computation of Autocorrelation % Hypothesis Test
DOI: 10.6084/m9.figshare.23898993
title: Stiffness - File 8 - Neglect Correlation from On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data

description: Code for numerical examples in the manuscript
DOI: 10.6084/m9.figshare.23898993.v1
title: Stiffness - File 8 - Neglect Correlation from On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data

description: Code for numerical examples in the manuscript
DOI: 10.6084/m9.figshare.23898996
title: Stiffness - File 4 - LjungBox from On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data

description: Code for Ljung-Box Test
DOI: 10.6084/m9.figshare.23898996.v1
title: Stiffness - File 4 - LjungBox from On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data

description: Code for Ljung-Box Test
DOI: 10.6084/m9.figshare.23898999
title: Stiffness - File 7 - MixedEffectsModelingPlotsTests from On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data

description: Code for LMEMs tests
DOI: 10.6084/m9.figshare.23898999.v1
title: Stiffness - File 7 - MixedEffectsModelingPlotsTests from On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data

description: Code for LMEMs tests
DOI: 10.6084/m9.figshare.23899002
title: Stiffness - File 3 - Deterministic Trend from On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data

description: Code for Deterministic Trend
DOI: 10.6084/m9.figshare.23899002.v1
title: Stiffness - File 3 - Deterministic Trend from On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data

description: Code for Deterministic Trend
DOI: 10.6084/m9.figshare.23899008
title: Stiffness - File 1 from On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data

description: Code for Pre-processing
DOI: 10.6084/m9.figshare.23899005
title: Stiffness - File 9 - Spreadsheets from On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data

description: Spreadsheet for stiffness and other variables
DOI: 10.6084/m9.figshare.23899005.v1
title: Stiffness - File 9 - Spreadsheets from On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data

description: Spreadsheet for stiffness and other variables
DOI: 10.6084/m9.figshare.23899008.v1
title: Stiffness - File 1 from On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data

description: Code for Pre-processing
DOI: 10.6084/m9.figshare.23899011.v1
title: Stiffness - File 5 - MassAgeLjungBox from On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data

description: Code for Mass and Age vs p-value of Ljung Box Test
DOI: 10.6084/m9.figshare.23899011
title: Stiffness - File 5 - MassAgeLjungBox from On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data

description: Code for Mass and Age vs p-value of Ljung Box Test
DOI: 10.21954/ou.rd.23833443
title: Geographic, elevation, and compositional data corresponding to mounds and highlands near Mawrth Vallis, Mars

description: This data is a collection of shapefiles and tabulated topographic spreadsheets that describe the locations and compositions of bright-toned outcrops in a population of kilometre-scale mesas, buttes and hills that exist north of the martian dichotomy at Mawrth Vallis. Specific descriptions of fields and tables can be found in the Data_Guide word file.1. <b>D</b><b>ata </b><b>guide </b>containing descriptions of the following data<br>2. <b>Shapefiles </b>of bright mound outcrops from CTX (polygons)<br>3. <b>Shapefiles </b>of clay-bearing mound outcrops from CRISM (polygons)<br>4. <b>Shapefiles </b>of clay-bearing plateau detections from CRISM FRT data (points)<br>5. <b>Tabulated </b>topographic data for highland-lowland transects<br>6. <b>Tabulated </b>topographic data for clay-bearing mound outcrops (.csv)<br>7. <b>Text file</b> containing spectra from clay-bearing outcrops on mounds (.txt)
DOI: 10.21954/ou.rd.23833443.v1
title: Geographic, elevation, and compositional data corresponding to mounds and highlands near Mawrth Vallis, Mars

description: This data is a collection of shapefiles and tabulated topographic spreadsheets that describe the locations and compositions of bright-toned outcrops in a population of kilometre-scale mesas, buttes and hills that exist north of the martian dichotomy at Mawrth Vallis. Specific descriptions of fields and tables can be found in the Data_Guide word file.1. <b>D</b><b>ata </b><b>guide </b>containing descriptions of the following data<br>2. <b>Shapefiles </b>of bright mound outcrops from CTX (polygons)<br>3. <b>Shapefiles </b>of clay-bearing mound outcrops from CRISM (polygons)<br>4. <b>Shapefiles </b>of clay-bearing plateau detections from CRISM FRT data (points)<br>5. <b>Tabulated </b>topographic data for highland-lowland transects<br>6. <b>Tabulated </b>topographic data for clay-bearing mound outcrops (.csv)<br>7. <b>Text file</b> containing spectra from clay-bearing outcrops on mounds (.txt)
DOI: 10.6084/m9.figshare.23866962.v5
title: Untitled Item

description: Regridding Global CMIP6 GCMs dataset(0.5 degree)Historical dataset: 7 CMIP6 GCMs (1850-2014, ACCESS-CM2 to GFDL-ESM4)Future dataset: 7 CMIP6 GCMs and 4 SSP scenarios (2015-2100)Composition of dataset: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiationIf you are using our codes and dataset, please use the following references:Song, Y.H., Chung, E.S., Shahid, S., Kim, Y.J., Kim, D.K. 2023. Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiration. Scientific Data.<br>
DOI: 10.34740/kaggle/dsv/6262929
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.23898981
title: Data Set

description: Data and detailed analysis of data through Jamovi
DOI: 10.6084/m9.figshare.22794161
title: Data for Simultaneous representation of multiple time horizons by entorhinal grid cells and CA1 place cells, Cell Reports

description: Grid cells and place cells reported in Krupic et al 2018 (Science).
DOI: 10.5281/zenodo.6425887
title: (raw dataset) "Spatial biology of Ising-like synthetic genetic networks"

description: This is the raw data for the manuscript Simpson et al "Spatial biology of Ising-like synthetic genetic<br> networks"
DOI: 10.5281/zenodo.7047215
title: (raw dataset) "Spatial biology of Ising-like synthetic genetic networks"

description: This is the raw data for the manuscript Simpson et al "Spatial biology of Ising-like synthetic genetic<br> networks"