cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6793642
title: Satellite-derived chlorophyll-a concentrations for Lake Mulargia (Sardinia, Italy) using Mixture Density Networks and Sentinel-2 and Landsat 8 imagery

description: This dataset contains satellite-derived chlorophyll-a data of Lake Mulargia (Sardinia, Italy) for the period 29 Mar. 2013 - 31 Jan. 2021. Chlorophyll-a concentrations have been calculated using Mixture Density Networks and Sentinel-2 and Landsat 8 imagery. Mixture Density Networks are a class of neural networks that tackle the inverse problem by modelling the multimodal distribution of target variables using a mixture of Gaussians. For more information, please refer to the following: Pahlevan, N., Smith, B., Alikas, K., Anstee, J., et al. (2022). Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3. <em>Remote Sensing of Environment, 270</em>, 112860 Smith, B., Pahlevan, N., Schalles, J., et al. (2021). A Chlorophyll-a Algorithm for Landsat-8 Based on Mixture Density Networks. <em>Frontiers in Remote Sensing, 1</em> Pahlevan, N., Smith, B., Schalles, J., et al. (2020). Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach. <em>Remote Sensing of Environment, 240</em>, 111604
DOI: 10.5281/zenodo.6793915
title: Satellite-derived chlorophyll-a concentrations for Lake Hume (Australia) using Mixture Density Networks and Sentinel-2 and Landsat 8 imagery

description: This dataset contains satellite-derived chlorophyll-a data of Lake Hume (Australia) for the period 21 Mar. 2013 - 01 Feb. 2021. Chlorophyll-a concentrations have been calculated using Mixture Density Networks and Sentinel-2 and Landsat 8 imagery. Mixture Density Networks are a class of neural networks that tackle the inverse problem by modelling the multimodal distribution of target variables using a mixture of Gaussians. For more information, please refer to the following: Pahlevan, N., Smith, B., Alikas, K., Anstee, J., et al. (2022). Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3. <em>Remote Sensing of Environment, 270</em>, 112860 Smith, B., Pahlevan, N., Schalles, J., et al. (2021). A Chlorophyll-a Algorithm for Landsat-8 Based on Mixture Density Networks. <em>Frontiers in Remote Sensing, 1</em> Pahlevan, N., Smith, B., Schalles, J., et al. (2020). Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach. <em>Remote Sensing of Environment, 240</em>, 111604
DOI: 10.5281/zenodo.6793914
title: Satellite-derived chlorophyll-a concentrations for Lake Hume (Australia) using Mixture Density Networks and Sentinel-2 and Landsat 8 imagery

description: This dataset contains satellite-derived chlorophyll-a data of Lake Hume (Australia) for the period 21 Mar. 2013 - 01 Feb. 2021. Chlorophyll-a concentrations have been calculated using Mixture Density Networks and Sentinel-2 and Landsat 8 imagery. Mixture Density Networks are a class of neural networks that tackle the inverse problem by modelling the multimodal distribution of target variables using a mixture of Gaussians. For more information, please refer to the following: Pahlevan, N., Smith, B., Alikas, K., Anstee, J., et al. (2022). Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3. <em>Remote Sensing of Environment, 270</em>, 112860 Smith, B., Pahlevan, N., Schalles, J., et al. (2021). A Chlorophyll-a Algorithm for Landsat-8 Based on Mixture Density Networks. <em>Frontiers in Remote Sensing, 1</em> Pahlevan, N., Smith, B., Schalles, J., et al. (2020). Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach. <em>Remote Sensing of Environment, 240</em>, 111604
DOI: 10.6084/m9.figshare.20282103
title: Supplementary Material for: Role of Proxy Respondents in International Stroke Research: Experience of the INTERSTROKE Study

description: Introduction Measuring patient-reported information in stroke research is challenging. To overcome this, use of proxy respondents is often a necessary strategy. In this study, we report on use and effect of proxy respondents on patient case-mix in a large international epidemiologic stroke study (INTERSTROKE). Methods This was a cross-sectional study of 13,458 cases of acute first stroke in 32 countries. A standardised study questionnaire recording behavioural cardiovascular risk factors was administered to the patient, and if unable to communicate adequately, a valid proxy, or both. We used logistic regression to evaluate the association of age, sex, education, occupation, stroke severity and region with need for proxy respondent, and report odds ratio (OR) with 95%CI. Results Among 13,458 participants with acute stroke, questionnaires were completed by patients alone in 41.4% (n=5573), combination of patient and proxy together in 21.7% (n=2,918) and proxy alone in 36.9% (n=4967). Use of proxy alone was greater in participants with severe stroke (4.7% with modified-Rankin score of 0 versus 80.5% in those with score 5; OR 187.13; 95% CI 119.61-308.22) older persons (43.8% of those aged 80 years and over versus 33.2% of those aged less than 40 years; age per decade OR 1.09; 95% CI 1.06-1.12), women (40.7% versus 34.3% of men; OR 1.32 95% CI 1.22-1.43); and those less educated (58.9% of those never educated versus 25.7% of those who attended third level education; OR 7.84; 95% CI 6.78-9.08). Conclusion Use of proxy respondents enhances the generalisability of international research studies of stroke, by increasing representation of women, patients with severe stroke, older age, and lower education.
DOI: 10.6084/m9.figshare.20282103.v1
title: Supplementary Material for: Role of Proxy Respondents in International Stroke Research: Experience of the INTERSTROKE Study

description: Introduction Measuring patient-reported information in stroke research is challenging. To overcome this, use of proxy respondents is often a necessary strategy. In this study, we report on use and effect of proxy respondents on patient case-mix in a large international epidemiologic stroke study (INTERSTROKE). Methods This was a cross-sectional study of 13,458 cases of acute first stroke in 32 countries. A standardised study questionnaire recording behavioural cardiovascular risk factors was administered to the patient, and if unable to communicate adequately, a valid proxy, or both. We used logistic regression to evaluate the association of age, sex, education, occupation, stroke severity and region with need for proxy respondent, and report odds ratio (OR) with 95%CI. Results Among 13,458 participants with acute stroke, questionnaires were completed by patients alone in 41.4% (n=5573), combination of patient and proxy together in 21.7% (n=2,918) and proxy alone in 36.9% (n=4967). Use of proxy alone was greater in participants with severe stroke (4.7% with modified-Rankin score of 0 versus 80.5% in those with score 5; OR 187.13; 95% CI 119.61-308.22) older persons (43.8% of those aged 80 years and over versus 33.2% of those aged less than 40 years; age per decade OR 1.09; 95% CI 1.06-1.12), women (40.7% versus 34.3% of men; OR 1.32 95% CI 1.22-1.43); and those less educated (58.9% of those never educated versus 25.7% of those who attended third level education; OR 7.84; 95% CI 6.78-9.08). Conclusion Use of proxy respondents enhances the generalisability of international research studies of stroke, by increasing representation of women, patients with severe stroke, older age, and lower education.
DOI: 10.5517/ccdc.csd.cc1q6sj7
title: CCDC 1585449: Experimental Crystal Structure Determination

description: Related Article: Suman Alishetty, Hong-Pin Shih, Chien-Chung Han|2018|Org.Lett.|20|2513|doi:10.1021/acs.orglett.8b00510
description: Related Article: Chien-Chung Han, Suman Alishetty|2021|U.S.Patents|||
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.cc1nbg2j
title: CCDC 1529387: Experimental Crystal Structure Determination

description: Related Article: Suman Alishetty, Hong-Pin Shih, Chien-Chung Han|2018|Org.Lett.|20|2513|doi:10.1021/acs.orglett.8b00510
description: Related Article: Chien-Chung Han, Suman Alishetty|2021|U.S.Patents|||
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.cc142r21
title: CCDC 1045322: Experimental Crystal Structure Determination

description: Related Article: Suman Alishetty, Hong-Pin Shih, Chien-Chung Han|2018|Org.Lett.|20|2513|doi:10.1021/acs.orglett.8b00510
description: Related Article: Chien-Chung Han, Suman Alishetty|2021|U.S.Patents|||
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.cc1nbg4l
title: CCDC 1529389: Experimental Crystal Structure Determination

description: Related Article: Suman Alishetty, Hong-Pin Shih, Chien-Chung Han|2018|Org.Lett.|20|2513|doi:10.1021/acs.orglett.8b00510
description: Related Article: Chien-Chung Han, Suman Alishetty|2021|U.S.Patents|||
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.cc1nbg3k
title: CCDC 1529388: Experimental Crystal Structure Determination

description: Related Article: Suman Alishetty, Hong-Pin Shih, Chien-Chung Han|2018|Org.Lett.|20|2513|doi:10.1021/acs.orglett.8b00510
description: Related Article: Chien-Chung Han, Suman Alishetty|2021|U.S.Patents|||
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.cc142r10
title: CCDC 1045321: Experimental Crystal Structure Determination

description: Related Article: Suman Alishetty, Hong-Pin Shih, Chien-Chung Han|2018|Org.Lett.|20|2513|doi:10.1021/acs.orglett.8b00510
description: Related Article: Chien-Chung Han, Suman Alishetty|2021|U.S.Patents|||
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.cc1yz7v0
title: CCDC 1816533: Experimental Crystal Structure Determination

description: Related Article: Suman Alishetty, Hong-Pin Shih, Chien-Chung Han|2018|Org.Lett.|20|2513|doi:10.1021/acs.orglett.8b00510
description: Related Article: Chien-Chung Han, Suman Alishetty|2021|U.S.Patents|||
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.cc1z0l8v
title: CCDC 1817817: Experimental Crystal Structure Determination

description: Related Article: Suman Alishetty, Hong-Pin Shih, Chien-Chung Han|2018|Org.Lett.|20|2513|doi:10.1021/acs.orglett.8b00510
description: Related Article: Chien-Chung Han, Suman Alishetty|2021|U.S.Patents|||
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.20282121
title: Simulationresults of the Montecarlo-Simulation

description: This set of data includes the results of a Monte-Carlo Simulation of a multiple-ailse SBS/RS
DOI: 10.6084/m9.figshare.20282121.v1
title: Simulationresults of the Montecarlo-Simulation

description: This set of data includes the results of a Monte-Carlo Simulation of a multiple-ailse SBS/RS
DOI: 10.6084/m9.figshare.20282139
title: Additional file 1 of Short-term temporal analysis and children's knowledge of the composition of important medicinal plants: the structural core hypothesis

description: Additional file 1. Raw data of the hypothesis 1.
DOI: 10.6084/m9.figshare.20282139.v1
title: Additional file 1 of Short-term temporal analysis and children's knowledge of the composition of important medicinal plants: the structural core hypothesis

description: Additional file 1. Raw data of the hypothesis 1.
DOI: 10.6084/m9.figshare.20282142
title: Additional file 2 of Short-term temporal analysis and children's knowledge of the composition of important medicinal plants: the structural core hypothesis

description: Additional file 2. Raw data of the hypothesis 2.
DOI: 10.6084/m9.figshare.20282142.v1
title: Additional file 2 of Short-term temporal analysis and children's knowledge of the composition of important medicinal plants: the structural core hypothesis

description: Additional file 2. Raw data of the hypothesis 2.
DOI: 10.15468/dl.5dxpgb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
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 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
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 },
 "SpeciesKey is Saprinus nobilis Wollaston, 1864",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103437-240626123714530/datasets/export for details.
DOI: 10.15468/dl.pdz35r
title: Occurrence Download

description: A dataset containing 59769 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
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 "not" : {
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 "is one of (Fossil, Living Specimen)"
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 },
 "SpeciesKey is Mustela erminea Linnaeus, 1758",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 59769 records from 478 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103433-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88jr88
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
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 "is one of (Fossil, Living Specimen)"
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 }
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 ]
 },
 "SpeciesKey is Henia devia Koch, 1847",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103438-240626123714530/datasets/export for details.
DOI: 10.15468/dl.wkcv4v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cryptotriton xucaneborum Rovito, Vázquez-Almazán, Papenfuss, Parra-Olea & Wake, 2015)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
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}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103439-240626123714530/datasets/export for details.
DOI: 10.15468/dl.cf8rxd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Saprinus subvirescens (Ménétriés, 1832)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103441-240626123714530/datasets/export for details.
DOI: 10.15468/dl.uxufn5
title: Occurrence Download

description: A dataset containing 8636 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
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 "is one of (Fossil, Living Specimen)"
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 },
 "SpeciesKey is Linyphia triangularis (Clerck, 1757)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 8636 records from 358 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103440-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7jwns
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
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 "is one of (Fossil, Living Specimen)"
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 }
 }
 ]
 },
 "SpeciesKey is Arctogeophilus inopinatus Ribaut, 1912",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 201 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103442-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8znd9t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cryptotriton veraepacis (Lynch & Wake, 1978))",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103443-240626123714530/datasets/export for details.
DOI: 10.15468/dl.cz84ua
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bactrocera dorsalis (Hendel, 1912))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1800",
 "BasisOfRecord is one of (Specimen)",
 "Country is one of (Australia)",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 20000",
 "CoordinateUncertaintyInMeters is null"
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 }
 ]
}

 The dataset includes 44 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103444-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gsnynb
title: Occurrence Download

description: A dataset containing 302 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
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 "is one of (Fossil, Living Specimen)"
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 }
 }
 ]
 },
 "SpeciesKey is Saprinus aeneus (Fabricius, 1775)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 302 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103445-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wnpu5g
title: Occurrence Download

description: A dataset containing 224 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tylototriton kweichowensis Fang & Chang, 1932"
 ]
}

 The dataset includes 224 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103446-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbafhx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Linyphia obesa Thorell, 1875",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103447-240626123714530/datasets/export for details.
DOI: 10.4121/54cfbca7-243e-4a27-af2d-74cdd91471b2
title: Code belonging to the publication Time-shifted cost function design for more efficient dynamic wind farm flow control

description: Code and run file to create the matrix T, as well as the calculation of the dependencies of the optimization problems.The run file plots basic results and in-code comments show how the function output should be used.
DOI: 10.4121/54cfbca7-243e-4a27-af2d-74cdd91471b2.v2
title: Code belonging to the publication Time-shifted cost function design for more efficient dynamic wind farm flow control

description: Code and run file to create the matrix T, as well as the calculation of the dependencies of the optimization problems.The run file plots basic results and in-code comments show how the function output should be used.