cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14955091
title: Comparative Analysis of Flow Dynamics Studies Between The Straight and Interrupted Minichannel Heat Sink

description: A simulation work was performed to investigate the advantage of interrupted minichannel heat sink over the straight one in terms of flow dynamics. Four different designs were examined, namely i) a straight, ii) Design A, iii) Design B and iv) Design C minichannel. All channels were rectangular in cross sectional area with 0.0032 m of hydraulic diameter, having cuts in between. Parametric studies were performed by utilizing the propylene glycol as the coolant fluid, while the Reynolds number are diverse between 510.9 to 608.2. The flow is modelled as steady and 3D flow. Comparative analysis between simulated and experimental data was first conducted as validation purposes with deviation of 0.49% to 9.81%, and 1.08% to 12.48% for Pdrop and Nusselt number respectively. The predicted results depicted the design features that affect the flow behaviours such as sharp corner edge that diminish Coanda effect and promotes flow separation, reverse flow and recirculation zone, and interrupts boundary layer. These behaviour causes the increment of heat flux and (Tout-Tin)/(Tw-Tm), while decrement in wall shear stress that finally augment the heat transfer. Comparative analysis showed that the increment in heat flux by 26.3% to 33.3%, (Tout-Tin)/(Tw-Tm) by 25% to 42.8%, and decrement in wall shear stress by 25% to 35.7%, indicating improved flow characteristics.
DOI: 10.5281/zenodo.14955092
title: Comparative Analysis of Flow Dynamics Studies Between The Straight and Interrupted Minichannel Heat Sink

description: A simulation work was performed to investigate the advantage of interrupted minichannel heat sink over the straight one in terms of flow dynamics. Four different designs were examined, namely i) a straight, ii) Design A, iii) Design B and iv) Design C minichannel. All channels were rectangular in cross sectional area with 0.0032 m of hydraulic diameter, having cuts in between. Parametric studies were performed by utilizing the propylene glycol as the coolant fluid, while the Reynolds number are diverse between 510.9 to 608.2. The flow is modelled as steady and 3D flow. Comparative analysis between simulated and experimental data was first conducted as validation purposes with deviation of 0.49% to 9.81%, and 1.08% to 12.48% for Pdrop and Nusselt number respectively. The predicted results depicted the design features that affect the flow behaviours such as sharp corner edge that diminish Coanda effect and promotes flow separation, reverse flow and recirculation zone, and interrupts boundary layer. These behaviour causes the increment of heat flux and (Tout-Tin)/(Tw-Tm), while decrement in wall shear stress that finally augment the heat transfer. Comparative analysis showed that the increment in heat flux by 26.3% to 33.3%, (Tout-Tin)/(Tw-Tm) by 25% to 42.8%, and decrement in wall shear stress by 25% to 35.7%, indicating improved flow characteristics.
DOI: 10.15468/dl.xmgquw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scutiger liupanensis Huang, 1985",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002613-250227182400228/datasets/export for details.
DOI: 10.15468/dl.hvkcd5
title: Occurrence Download

description: A dataset containing 1024 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pereskia aculeata Mill.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1024 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002615-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mwp8fd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scutiger mammatus (Günther, 1896)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002651-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r34htv
title: Occurrence Download

description: A dataset containing 1890 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crotalaria spectabilis Roth)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1890 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002652-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.smx3yr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scutiger muliensis Fei & Ye, 1986",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002653-250227182430271/datasets/export for details.
DOI: 10.15468/dl.4enc6b
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus amherstiana Wall., 1831"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002617-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26w5g3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scutiger nyingchiensis Fei",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002618-250227182400228/datasets/export for details.
DOI: 10.15468/dl.9epjep
title: Occurrence Download

description: A dataset containing 390586 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Senecio inaequidens DC.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 390586 records from 1115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002606-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.byp7cm
title: Occurrence Download

description: A dataset containing 6607 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bauhinia purpurea L.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6607 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002619-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjk9mp
title: Occurrence Download

description: A dataset containing 63304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Brassica napus L.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 63304 records from 683 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002610-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16240945
title: Climate projections and renewable energy IPSL-CM6A-LR SSP-370 China
DOI: 10.5517/ccdc.csd.cc1q7pqc
title: CCDC 1586323: Experimental Crystal Structure Determination

description: Related Article: Guilherme A. M. Jardim, Willian X. C. Oliveira, Rossimiriam P. de Freitas, Rubem F. S. Menna-Barreto, Thaissa L. Silva, Marilia O. F. Goulart, Eufrânio N. da Silva Júnior|2018|Org.Biomol.Chem.|16|1686|doi:10.1039/C8OB00196K
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.cc1q7prd
title: CCDC 1586324: Experimental Crystal Structure Determination

description: Related Article: Guilherme A. M. Jardim, Willian X. C. Oliveira, Rossimiriam P. de Freitas, Rubem F. S. Menna-Barreto, Thaissa L. Silva, Marilia O. F. Goulart, Eufrânio N. da Silva Júnior|2018|Org.Biomol.Chem.|16|1686|doi:10.1039/C8OB00196K
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.cc1q7psf
title: CCDC 1586325: Experimental Crystal Structure Determination

description: Related Article: Guilherme A. M. Jardim, Willian X. C. Oliveira, Rossimiriam P. de Freitas, Rubem F. S. Menna-Barreto, Thaissa L. Silva, Marilia O. F. Goulart, Eufrânio N. da Silva Júnior|2018|Org.Biomol.Chem.|16|1686|doi:10.1039/C8OB00196K
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.cc1q7ptg
title: CCDC 1586326: Experimental Crystal Structure Determination

description: Related Article: Guilherme A. M. Jardim, Willian X. C. Oliveira, Rossimiriam P. de Freitas, Rubem F. S. Menna-Barreto, Thaissa L. Silva, Marilia O. F. Goulart, Eufrânio N. da Silva Júnior|2018|Org.Biomol.Chem.|16|1686|doi:10.1039/C8OB00196K
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.cc1q7pvh
title: CCDC 1586327: Experimental Crystal Structure Determination

description: Related Article: Guilherme A. M. Jardim, Willian X. C. Oliveira, Rossimiriam P. de Freitas, Rubem F. S. Menna-Barreto, Thaissa L. Silva, Marilia O. F. Goulart, Eufrânio N. da Silva Júnior|2018|Org.Biomol.Chem.|16|1686|doi:10.1039/C8OB00196K
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.cc1q7pxk
title: CCDC 1586329: Experimental Crystal Structure Determination

description: Related Article: Guilherme A. M. Jardim, Willian X. C. Oliveira, Rossimiriam P. de Freitas, Rubem F. S. Menna-Barreto, Thaissa L. Silva, Marilia O. F. Goulart, Eufrânio N. da Silva Júnior|2018|Org.Biomol.Chem.|16|1686|doi:10.1039/C8OB00196K
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.cc1q7q1q
title: CCDC 1586333: Experimental Crystal Structure Determination

description: Related Article: H.P. Yennawar, J. Tierney, L.J. Silverberg|2017|IUCrData|2|x171662|doi:10.1107/S2414314617016625
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.cc1q7q2r
title: CCDC 1586334: Experimental Crystal Structure Determination

description: Related Article: Pranav P. Kalelkar, David M. Collard|2018|Polym.Chem.|9|1022|doi:10.1039/C7PY01930K
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: 10.6084/m9.figshare.29963491
title: Spline Autoregression Method for Estimation of Quantile Spectrum

description: Based on trigonometric quantile regression, the quantile spectrum was introduced in Li (2008, 2012) as an alternative tool for spectral analysis of time series. It has been demonstrated to have the capability of providing a richer view of time series data than that offered by the ordinary spectrum especially for nonlinear dynamics such as stochastic volatility. A novel method, called spline autoregression (SAR), is proposed in this article for estimating the quantile spectrum as a bivariate function of frequency and quantile level, under the assumption that the quantile spectrum varies smoothly with the quantile level. The SAR method is facilitated by the quantile discrete Fourier transform (QDFT) based on trigonometric quantile regression. It is enabled by the resulting time-domain quantile series (QSER) which represents properly scaled oscillatory characteristics of the original time series around a quantile. A functional autoregressive model is fitted to the QSER on a grid of quantile levels by penalized least-squares, where the autoregressive coefficients are represented as spline functions of the quantile level. While the ordinary autoregressive (AR) model is widely used for conventional spectral estimation, the simulation study in this article confirms that the proposed SAR method provides an effective way of estimating the quantile spectrum as a bivariate function in comparison with the alternatives. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.29963491.v2
title: Spline Autoregression Method for Estimation of Quantile Spectrum

description: Based on trigonometric quantile regression, the quantile spectrum was introduced in Li (2008, 2012) as an alternative tool for spectral analysis of time series. It has been demonstrated to have the capability of providing a richer view of time series data than that offered by the ordinary spectrum especially for nonlinear dynamics such as stochastic volatility. A novel method, called spline autoregression (SAR), is proposed in this article for estimating the quantile spectrum as a bivariate function of frequency and quantile level, under the assumption that the quantile spectrum varies smoothly with the quantile level. The SAR method is facilitated by the quantile discrete Fourier transform (QDFT) based on trigonometric quantile regression. It is enabled by the resulting time-domain quantile series (QSER) which represents properly scaled oscillatory characteristics of the original time series around a quantile. A functional autoregressive model is fitted to the QSER on a grid of quantile levels by penalized least-squares, where the autoregressive coefficients are represented as spline functions of the quantile level. While the ordinary autoregressive (AR) model is widely used for conventional spectral estimation, the simulation study in this article confirms that the proposed SAR method provides an effective way of estimating the quantile spectrum as a bivariate function in comparison with the alternatives. Supplementary materials for this article are available online.
DOI: 10.5517/ccdc.csd.cc1q7q4t
title: CCDC 1586336: Experimental Crystal Structure Determination

description: Related Article: Christopher L. Rock, Thomas L. Groy, Ryan J. Trovitch|2018|Dalton Trans.|47|8807|doi:10.1039/C8DT01857J
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: 10.6084/m9.figshare.29963491.v1
title: Spline Autoregression Method for Estimation of Quantile Spectrum

description: Based on trigonometric quantile regression, the quantile spectrum was introduced in Li (2008; 2012) as an alternative tool for spectral analysis of time series. It has been demonstrated to have the capability of providing a richer view of time series data than that offered by the ordinary spectrum especially for nonlinear dynamics such as stochastic volatility. A novel method, called spline autoregression (SAR), is proposed in this paper for estimating the quantile spectrum as a bivariate function of frequency and quantile level, under the assumption that the quantile spectrum varies smoothly with the quantile level. The SAR method is facilitated by the quantile discrete Fourier transform (QDFT) based on trigonometric quantile regression. It is enabled by the resulting time-domain quantile series (QSER) which represents properly scaled oscillatory characteristics of the original time series around a quantile. A functional autoregressive model is fitted to the QSER on a grid of quantile levels by penalized least-squares, where the autoregressive coefficients are represented as spline functions of the quantile level. While the ordinary autoregressive (AR) model is widely used for conventional spectral estimation, the simulation study in this paper confirms that the proposed SAR method provides an effective way of estimating the quantile spectrum as a bivariate function in comparison with the alternatives.
DOI: 10.5517/ccdc.csd.cc1q7q5v
title: CCDC 1586337: Experimental Crystal Structure Determination

description: Related Article: Christopher L. Rock, Thomas L. Groy, Ryan J. Trovitch|2018|Dalton Trans.|47|8807|doi:10.1039/C8DT01857J
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.cc1q7q6w
title: CCDC 1586338: Experimental Crystal Structure Determination

description: Related Article: Juliet F. Khosrowabadi Kotyk, Caitlin M. Hanna, Rebecca L. Combs, Joseph W. Ziller, Jenny Y. Yang|2018|Chemical Science|9|2750|doi:10.1039/C7SC04960A
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.cc1q7q7x
title: CCDC 1586339: Experimental Crystal Structure Determination

description: Related Article: Juliet F. Khosrowabadi Kotyk, Caitlin M. Hanna, Rebecca L. Combs, Joseph W. Ziller, Jenny Y. Yang|2018|Chemical Science|9|2750|doi:10.1039/C7SC04960A
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.cc1q7q8y
title: CCDC 1586340: Experimental Crystal Structure Determination

description: Related Article: Juliet F. Khosrowabadi Kotyk, Caitlin M. Hanna, Rebecca L. Combs, Joseph W. Ziller, Jenny Y. Yang|2018|Chemical Science|9|2750|doi:10.1039/C7SC04960A
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.cc1q7q9z
title: CCDC 1586341: Experimental Crystal Structure Determination

description: Related Article: Juliet F. Khosrowabadi Kotyk, Caitlin M. Hanna, Rebecca L. Combs, Joseph W. Ziller, Jenny Y. Yang|2018|Chemical Science|9|2750|doi:10.1039/C7SC04960A
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.cc1q7qb0
title: CCDC 1586342: Experimental Crystal Structure Determination

description: Related Article: Seung Hyeon Kim,  Juhoon Lee,  Gabriela I. Vargas-Zúñiga,  Vincent M. Lynch,  Benjamin P. Hay,  Jonathan L. Sessler,  and Sung Kuk Kim|2018|J.Org.Chem.|83|2686|doi:10.1021/acs.joc.7b03135
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.