cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.qhytc6
title: Occurrence Download

description: A dataset containing 153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Inga laurina (Sw.) Willd.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 153 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014993-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14515431
title: Data table for EoS FOP(SFHoY) (no electrons) nparam=3

description: The data table for the EoS FOP(SFHoY) (no electrons) of the family General Purpose EoS with 3 parameters 
                can be found via this link  compose.obspm.fr/eos/119 together with additional information on the EoS.
                 
                Please be aware that in particular the authors of the equation of state can be found in the references below and on the 
                Compose data base ( compose.obspm.fr/eos/119).
                Thus if you use this entry, please cite the original references together with the link to the table. We are working currently on rectifying the automatic citation from zenodo with author information on the equation of state.
                
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).
DOI: 10.5281/zenodo.14515432
title: Data table for EoS FOP(SFHoY) (no electrons) nparam=3

description: The data table for the EoS FOP(SFHoY) (no electrons) of the family General Purpose EoS with 3 parameters 
                can be found via this link  "compose.obspm.fr/eos/119" together with additional information on the EoS.
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).
DOI: 10.5281/zenodo.14808539
title: Data table for EoS FOP(SFHoY) (no electrons) nparam=3

description: The data table for the EoS FOP(SFHoY) (no electrons) of the family General Purpose EoS with 3 parameters 
                can be found via this link  compose.obspm.fr/eos/119 together with additional information on the EoS.
                 
                Please be aware that in particular the authors of the equation of state can be found in the references below and on the 
                Compose data base ( compose.obspm.fr/eos/119).
                Thus if you use this entry, please cite the original references together with the link to the table. We are working currently on rectifying the automatic citation from zenodo with author information on the equation of state.
                
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).
DOI: 10.15468/dl.fsewy4
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Inga leiocalycina Benth.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014994-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25381/cput.27628464
title: Development of a low-cost smart monitoring and control system for water management in rural wastewater treatment.

description: Ethical clearance of the study 2023FEBEFREC-STD-032Water pollution is a major global problem because of increased levels of drinking water contaminants. These pollutants can cause diseases that harm both humans and animals, thereby negatively impacting the environment. The study needs to focus on a system that can detect these pollutants early enough to prevent any pollution-related damage. This research aims to provide a low-cost system that is smart in monitoring and controlling the waters for real-time water quality management. As part of this study, consider temperature, turbidity, pH, electrical conductivity (EC), total dissolved solids (TDS), and rates of water flow as the key parameters measured by the sensors. Water pollution management is possible by continuous monitoring of these parameters, issuing warning signals, and recommending measures whenever pollution is present. The system monitors water quality by connecting an Arduino to sensors. The system follows simple rules: it analyses the data to identify any issues. If it detects contamination, it can automatically introduce chemicals to enhance the water's quality. Thingspeak, a cloud platform that maintains records and updates water quality reports, receives the data wirelessly. Additionally, the If This Then That (IFTTT) system immediately sends alert messages to users' phones upon detection of contamination. The conducted research yields compelling results, demonstrating the system's ability to continuously monitor water quality and initiate necessary actions. Furthermore, remote access, integration with other IoT applications, and enhanced robustness render this IoT-based solution useful for water quality management. The present research concludes that the use of Internet of Things-based water quality monitoring systems can ensure safe drinking water, and its implementation is both simple and feasible. In a way, it promotes the cause of public health as well as environmental conversation.
DOI: 10.25381/cput.27628464.v1
title: Development of a low-cost smart monitoring and control system for water management in rural wastewater treatment.

description: Ethical clearance of the study 2023FEBEFREC-STD-032Water pollution is a major global problem because of increased levels of drinking water contaminants. These pollutants can cause diseases that harm both humans and animals, thereby negatively impacting the environment. The study needs to focus on a system that can detect these pollutants early enough to prevent any pollution-related damage. This research aims to provide a low-cost system that is smart in monitoring and controlling the waters for real-time water quality management. As part of this study, consider temperature, turbidity, pH, electrical conductivity (EC), total dissolved solids (TDS), and rates of water flow as the key parameters measured by the sensors. Water pollution management is possible by continuous monitoring of these parameters, issuing warning signals, and recommending measures whenever pollution is present. The system monitors water quality by connecting an Arduino to sensors. The system follows simple rules: it analyses the data to identify any issues. If it detects contamination, it can automatically introduce chemicals to enhance the water's quality. Thingspeak, a cloud platform that maintains records and updates water quality reports, receives the data wirelessly. Additionally, the If This Then That (IFTTT) system immediately sends alert messages to users' phones upon detection of contamination. The conducted research yields compelling results, demonstrating the system's ability to continuously monitor water quality and initiate necessary actions. Furthermore, remote access, integration with other IoT applications, and enhanced robustness render this IoT-based solution useful for water quality management. The present research concludes that the use of Internet of Things-based water quality monitoring systems can ensure safe drinking water, and its implementation is both simple and feasible. In a way, it promotes the cause of public health as well as environmental conversation.
DOI: 10.5281/zenodo.14808413
title: Automatic 3D Segmentation and Identification of Anomalous Aortic Origin of the Coronary Arteries Combining Multi-view 2D Convolutional Neural Networks

description: Abstract



This work aimed to automatically segment and classify the coronary arteries with either normal or anomalous origin from the aorta (AAOCA) using convolutional neural networks (CNNs), seeking to enhance and fasten clinician diagnosis. We implemented three single-view 2D Attention U-Nets with 3D view integration and trained them to automatically segment the aortic root and coronary arteries of 124 computed tomography angiographies (CTAs), with normal coronaries or AAOCA. Furthermore, we automatically classified the segmented geometries as normal or AAOCA using a decision tree model. For CTAs in the test set (n = 13), we obtained median Dice score coefficients of 0.95 and 0.84 for the aortic root and the coronary arteries, respectively. Moreover, the classification between normal and AAOCA showed excellent performance with accuracy, precision, and recall all equal to 1 in the test set. We developed a deep learning-based method to automatically segment and classify normal coronary and AAOCA. Our results represent a step towards an automatic screening and risk profiling of patients with AAOCA, based on CTA.
DOI: 10.5281/zenodo.14808414
title: Automatic 3D Segmentation and Identification of Anomalous Aortic Origin of the Coronary Arteries Combining Multi-view 2D Convolutional Neural Networks

description: Abstract



This work aimed to automatically segment and classify the coronary arteries with either normal or anomalous origin from the aorta (AAOCA) using convolutional neural networks (CNNs), seeking to enhance and fasten clinician diagnosis. We implemented three single-view 2D Attention U-Nets with 3D view integration and trained them to automatically segment the aortic root and coronary arteries of 124 computed tomography angiographies (CTAs), with normal coronaries or AAOCA. Furthermore, we automatically classified the segmented geometries as normal or AAOCA using a decision tree model. For CTAs in the test set (n = 13), we obtained median Dice score coefficients of 0.95 and 0.84 for the aortic root and the coronary arteries, respectively. Moreover, the classification between normal and AAOCA showed excellent performance with accuracy, precision, and recall all equal to 1 in the test set. We developed a deep learning-based method to automatically segment and classify normal coronary and AAOCA. Our results represent a step towards an automatic screening and risk profiling of patients with AAOCA, based on CTA.
DOI: 10.5281/zenodo.14508181
title: Data table for EoS BL(chiral) nparam=1

description: The data table for the EoS BL(chiral) of the family Cold Neutron Star EoS with 1 parameters 
                can be found via this link  compose.obspm.fr/eos/120 together with additional information on the EoS.
                 
                Please be aware that in particular the authors of the equation of state can be found in the references below and on the 
                Compose data base ( compose.obspm.fr/eos/120).
                Thus if you use this entry, please cite the original references together with the link to the table. We are working currently on rectifying the automatic citation from zenodo with author information on the equation of state.
                
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).
DOI: 10.5281/zenodo.14508182
title: Data table for EoS BL(chiral) nparam=1

description: The data table for the EoS BL(chiral) of the family Cold Neutron Star EoS with 1 parameters 
                can be found via this link  "compose.obspm.fr/eos/120" together with additional information on the EoS.
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).
DOI: 10.5281/zenodo.14808564
title: Data table for EoS BL(chiral) nparam=1

description: The data table for the EoS BL(chiral) of the family Cold Neutron Star EoS with 1 parameters 
                can be found via this link  compose.obspm.fr/eos/120 together with additional information on the EoS.
                 
                Please be aware that in particular the authors of the equation of state can be found in the references below and on the 
                Compose data base ( compose.obspm.fr/eos/120).
                Thus if you use this entry, please cite the original references together with the link to the table. We are working currently on rectifying the automatic citation from zenodo with author information on the equation of state.
                
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).
DOI: 10.5281/zenodo.14794774
title: CASS_50m_256x256x139_600CCN

description: CASS_50m_256x256x139_600CCN dataset has the cropped clouds from the CASS_50m_256x256x139_600CCN LES-simulation and the rendered images by various CloudCT-like setups.
DOI: 10.5281/zenodo.14794775
title: CASS_50m_256x256x139_600CCN

description: CASS_50m_256x256x139_600CCN dataset has the cropped clouds from the CASS_50m_256x256x139_600CCN LES-simulation and the rendered images by various CloudCT-like setups.
DOI: 10.15468/dl.q25sc6
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Inga marginata Willd.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014995-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14508215
title: Data table for EoS BL(chiral) with crust nparam=1

description: The data table for the EoS BL(chiral) with crust of the family Cold Neutron Star EoS with 1 parameters 
                can be found via this link  compose.obspm.fr/eos/121 together with additional information on the EoS.
                 
                Please be aware that in particular the authors of the equation of state can be found in the references below and on the 
                Compose data base ( compose.obspm.fr/eos/121).
                Thus if you use this entry, please cite the original references together with the link to the table. We are working currently on rectifying the automatic citation from zenodo with author information on the equation of state.
                
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).
DOI: 10.5281/zenodo.14508216
title: Data table for EoS BL(chiral) with crust nparam=1

description: The data table for the EoS BL(chiral) with crust of the family Cold Neutron Star EoS with 1 parameters 
                can be found via this link  "compose.obspm.fr/eos/121" together with additional information on the EoS.
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).
DOI: 10.5281/zenodo.14808586
title: Data table for EoS BL(chiral) with crust nparam=1

description: The data table for the EoS BL(chiral) with crust of the family Cold Neutron Star EoS with 1 parameters 
                can be found via this link  compose.obspm.fr/eos/121 together with additional information on the EoS.
                 
                Please be aware that in particular the authors of the equation of state can be found in the references below and on the 
                Compose data base ( compose.obspm.fr/eos/121).
                Thus if you use this entry, please cite the original references together with the link to the table. We are working currently on rectifying the automatic citation from zenodo with author information on the equation of state.
                
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).
DOI: 10.15468/dl.kd4rs2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Inga mexicana (T.D.Penn.) M.Sousa)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014997-250127130748423/datasets/export for details.
DOI: 10.15468/dl.ns3rm7
title: Occurrence Download

description: A dataset containing 1097 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "TaxonKey is Aedes koreicus (Edwards, 1917)"
 ]
}

 The dataset includes 1097 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014996-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.