cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6778051
title: Distancia a equipamientos para distritos

description: Conjunto de indicadores en el que se ofrece la <strong>distancia euclidea a los equipamientos</strong> de la ciudad de Zaragoza por distritos. Se han calculado para los 717.259 habitantes empadronados en la ciudad de Zaragoza según el padrón municipal de la ciudad a fecha 29/02/2020, la distancia euclidiana desde su portal de residencia a 68 tipos de equipamientos y servicios: Infraestructura Verde (5), servicios financieros (2), sanitarios (6), transporte público (7), servicios educativos (9), equipamiento cultural (10), servicios asistenciales (10) y equipamientos deportivos (12). Las distancias al equipamiento de cada persona asignada a un portal se suman agregadas por distrito municipal y se calcula el valor medio sobre el total de habitantes. De este modo cada uno de los 68 tipos de equipamientos tiene el valor medio para el distrito y para la ciudad. Territorialmente, por debajo de este cálculo están los valores agrupados por manzanas y se pueden consultar en la colección cartográfica de mis mapas mis datos Se pueden visualizar distancias a servicio culturales como museos, bibliotecas, cines o salas de exposiciones, entre otros; centros relacionados con la salud como hospitales, centros de salud, farmacias; establecimientos y comercios, como por ejemplo supermercados o librerías; instalaciones deportivas y piscinas; servicios relacionados con la seguridad como la policía local o los bomberos; acceso a zonas verdes como parque y jardines; distancia a paradas de transporte público de autobuses, tranvía, taxi y bizi; y servicios básicos como oficinas de correos y centros de formación. La unidad de medida para las distancias son los metros. <strong>Unidad responsable o fuente: </strong>Cátedra de Territorio, Sociedad y Visualización Geográfica del Ayuntamiento de Zaragoza. Esta cátedra tiene como objetivo principal analizar, desde una perspectiva transversal y multidimensional, la información territorial, sociodemográficas y de la ciudad de Zaragoza, su entorno metropolitano y la Comunidad Autónoma.
DOI: 10.34740/kaggle/dsv/4954524
title: YouTube Daily
DOI: 10.5281/zenodo.7599351
title: Prueba 2

description: Prueba.
DOI: 10.5281/zenodo.7599350
title: Prueba 2

description: Prueba.
DOI: 10.5281/zenodo.7611645
title: Fast-track regional sea level projections up to 2500 (PROTECT)

description: This NetCDF4 file contains regional sea-level change projections from 2020 to 2500 based on IPCC AR6 projections and a combination of linear extrapolations and scaling methods. Data are provided for scenarios SS1-2.6 and SSP2-4.5.
DOI: 10.6084/m9.figshare.21972653
title: CNN_MJO

description: <strong>DATA</strong> - Input 1. Precipitable Water 2. Outgoing Longwave Radiation 3. Zonal wind at 850hPa 4. Zonal wind at 250hPa 5. Surface Temperature - Output Realtime Multivariate MJO indices (RMM1 and RMM2) <br> <strong>CODE</strong> need to modify the directory of files <br> 1. CESM2.training.py 2. OBS.training.py 3. OBS.predict.py 4. OBS.contribution.py 5. OBS.single.var.zeroing.py
DOI: 10.6084/m9.figshare.22015292
title: Roundtable Discussion on the Sea Rescue Cause in the Central Mediterranean - Research project - Lucien Vilhalva de Campos CEU.m4a

description: Roundtable Discussion on the Sea Rescue Cause in the Central Mediterranean. Drawing on contributions from seven participants, the dataset was comprised by forty (40) minutes of audio-recording. Among several topics discussed in the roundtable, six are worthy of consideration: the description of the work done by the Sea-Watch members, the framework of legality and illegality, the notions of individual and collective responsibility, the motivations of prosocial behavior, the limitations of engagement, and the question about perceiving the migration situation as an emergency. Due to confidentiality and anonymity reasons, participants’ names, corresponding departments and academic degrees were anonymized.
DOI: 10.6084/m9.figshare.22015292.v2
title: Roundtable Discussion on the Sea Rescue Cause in the Central Mediterranean - Research project - Lucien Vilhalva de Campos CEU.m4a

description: Roundtable Discussion on the Sea Rescue Cause in the Central Mediterranean. Drawing on contributions from seven participants, the dataset was comprised by forty (40) minutes of audio-recording. Among several topics discussed in the roundtable, six are worthy of consideration: the description of the work done by the Sea-Watch members, the framework of legality and illegality, the notions of individual and collective responsibility, the motivations of prosocial behavior, the limitations of engagement, and the question about perceiving the migration situation as an emergency. Due to confidentiality and anonymity reasons, participants’ names, corresponding departments and academic degrees were anonymized.
DOI: 10.6084/m9.figshare.22015292.v1
title: Roundtable Discussion on the Sea Rescue Cause in the Central Mediterranean - Research project - Lucien Vilhalva de Campos CEU.m4a

description: Roundtable Discussion on the Sea Rescue Cause in the Central Mediterranean. Drawing on contributions from seven participants, the dataset was comprised by forty (40) minutes of audio-recording. Among several topics discussed in the roundtable, six are worthy of consideration: the description of the work done by the Sea-Watch members, the framework of legality and illegality, the notions of individual and collective responsibility, the motivations of prosocial behavior, the limitations of engagement, and the question about perceiving the migration situation as an emergency. Due to confidentiality and anonymity reasons, participants’ names, corresponding departments and academic degrees were anonymized.
DOI: 10.18112/openneuro.ds004464.v1.0.0
title: functional MRI of sleeping pigeons
DOI: 10.5519/qd.4069n0fw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1360 records)
DOI: 10.5519/qd.y3std2n4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1360 records)
DOI: 10.5281/zenodo.7611635
title: Raw Data for the article: Neurological Screening in Elderly Liver Transplantation Candidates: A Single Center

description: <strong>Background: </strong>Cerebral small vessels disease (cSVD) is an age-related disorder and risk factor for stroke and cognitive/motor impairments. Neurological complications (NCs) are among the causes of adverse outcomes in older liver transplant recipients. This study sought to determine whether cSVD predicts acute NCs in over 65-year-old liver transplant patients. <strong>Methods: </strong>Data were collected, from a retrospective medical chart review, of 22 deceased donor liver transplant recipients aged 65 years or older with a pre-operative brain magnetic resonance imaging (MRI). We used the Fazekas score (0-3) as a quantitative measurement of the vascular lesion load seen in the MRI. We analyzed all post-operative acute NCs occurring during the hospital stay and any other non-NC. <strong>Results: </strong>cSVD was recognized in all patients. Neurological complications (NCs) occurred in 18.1% of patients with toxic-metabolic encephalopathy the most frequent diagnosis (13.64%). More severe cSVD was associated with seizures (<em>p</em> = 0.0362), longer hospital stay (<em>p</em> 0.0299), and disability (<em>p</em> 0.0134). In our elderly cohort, hepatic encephalopathy (HE) (<em>p</em> 0.0287) and ascites (<em>p</em> 0.0270) were predictors of NCs after liver transplantation. Ascites and/or variceal bleeding and severity of liver disease were associated with adverse post-operative outcomes. The small sample size limited the statistical analysis power. <strong>Conclusions: </strong>We present the preliminary data of a single-center retrospective study aimed at understanding the cSVD role on NCs and non-NCs after a liver transplantation in elderly patients. This would encourage a more appropriate multicenter prospective study that will definitely confirm if a neurological screening in old age liver transplant candidates is appropriate.
DOI: 10.5281/zenodo.7611634
title: Raw Data for the article: Neurological Screening in Elderly Liver Transplantation Candidates: A Single Center

description: <strong>Background: </strong>Cerebral small vessels disease (cSVD) is an age-related disorder and risk factor for stroke and cognitive/motor impairments. Neurological complications (NCs) are among the causes of adverse outcomes in older liver transplant recipients. This study sought to determine whether cSVD predicts acute NCs in over 65-year-old liver transplant patients. <strong>Methods: </strong>Data were collected, from a retrospective medical chart review, of 22 deceased donor liver transplant recipients aged 65 years or older with a pre-operative brain magnetic resonance imaging (MRI). We used the Fazekas score (0-3) as a quantitative measurement of the vascular lesion load seen in the MRI. We analyzed all post-operative acute NCs occurring during the hospital stay and any other non-NC. <strong>Results: </strong>cSVD was recognized in all patients. Neurological complications (NCs) occurred in 18.1% of patients with toxic-metabolic encephalopathy the most frequent diagnosis (13.64%). More severe cSVD was associated with seizures (<em>p</em> = 0.0362), longer hospital stay (<em>p</em> 0.0299), and disability (<em>p</em> 0.0134). In our elderly cohort, hepatic encephalopathy (HE) (<em>p</em> 0.0287) and ascites (<em>p</em> 0.0270) were predictors of NCs after liver transplantation. Ascites and/or variceal bleeding and severity of liver disease were associated with adverse post-operative outcomes. The small sample size limited the statistical analysis power. <strong>Conclusions: </strong>We present the preliminary data of a single-center retrospective study aimed at understanding the cSVD role on NCs and non-NCs after a liver transplantation in elderly patients. This would encourage a more appropriate multicenter prospective study that will definitely confirm if a neurological screening in old age liver transplant candidates is appropriate.
DOI: 10.5281/zenodo.7609866
title: Test dataset for CVL netCDF creator

description: Test dataset
DOI: 10.5281/zenodo.7609865
title: Test dataset for CVL netCDF creator

description: Test dataset
DOI: 10.5517/ccdc.csd.ccxbj7z
title: CCDC 844261: Experimental Crystal Structure Determination

description: Related Article: A.Sibaouhih,A.Al-Hunaiti,M.Nieger,M.Leskelä,T.Repo|2023|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.ccxbj6y
title: CCDC 844260: Experimental Crystal Structure Determination

description: Related Article: A.Sibaouih,A.Al-Hunaiti,M.Nieger,M.Leskelä,T.Repo|2023|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.cc2dmhvd
title: CCDC 2223284: Experimental Crystal Structure Determination

description: Related Article: C. J. G. Wilson, P. A. Wood, S. Parsons|2023|CrystEngComm|25|988|doi:10.1039/D2CE01616H
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: 10.14457/tu.the.2022.125
title: Microplastic pollution and removal in wastewater treatment plants in Thailand

description: Microplastic (MP) is an emerging pollutant that requires urgent attention. Wastewater treatment plants (WWTPs) are considered an important pathway to transport terrestrial MPs to water bodies. This study aims to investigate the level of MP pollution and removal at each treatment step to find the most efficient MP removal stage in four different WWTPs in Thailand. Removal efficiencies and the characteristics of MPs in the inlet of four WWTPs were compared. MP samples in three WWTPs were collected by filtration of wastewater through a set of sieves: 5 mm, 1 mm, 500 µm, and 53 µm. Grab sampling was performed in a WWTP built as a closed underground system. Sludge samples were collected from each WWTP by grab sampling. MPs found in the influent of four different WWTPs ranged from 3.50 – 77 particles per L, and the effluent ranged from 2.33 – 30.33 particles per L. The highest MP concentration in the inlet was found in Bang Sue WWTP. Despite the high MP loads in the influent, Bang Sue WWTP achieved the highest removal efficiency of 86.14% and 96.97% from the conventional treatment system and UF as a final polishing step, respectively. One of the reasons is that it was constructed as an underground treatment system to prevent atmospheric contamination. On the other hand, Sing Buri WWTP, with a waste stabilization pond, attained very low MP removal efficiency from both grab sampling and on-site filtration. There was a high concentration of MPs from atmospheric deposition in Sing Buri WWTP. The number of MPs detected in the influent of the largest WWTP in Bangkok (population equivalent to 1 million) is lower than Nong Khaem WWTP, which has a population equivalent to 520,000. Most of the MPs found in four WWTPs were fibers identified as polyethylene terephthalate (PET) or polyester. Fibers were derived from clothes shedding. Fragments identified as PE and films were less abundant. The results of this study show a variety of MP abundances in different WWTPs with different treatment technologies in Thailand. However, all of the studied conventional WWTPs, except the pond system, lack primary sedimentation which is reported to improve the removal of MPs. The addition of a primary sedimentation tank and advanced filtration as a final step in WWTP should be considered as it could decrease the number of MP released to the freshwater environment.
DOI: 10.5517/ccdc.csd.cc2dmhwf
title: CCDC 2223285: Experimental Crystal Structure Determination

description: Related Article: C. J. G. Wilson, P. A. Wood, S. Parsons|2023|CrystEngComm|25|988|doi:10.1039/D2CE01616H
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.cc2dmhxg
title: CCDC 2223286: Experimental Crystal Structure Determination

description: Related Article: C. J. G. Wilson, P. A. Wood, S. Parsons|2023|CrystEngComm|25|988|doi:10.1039/D2CE01616H
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.cc2dmhyh
title: CCDC 2223287: Experimental Crystal Structure Determination

description: Related Article: C. J. G. Wilson, P. A. Wood, S. Parsons|2023|CrystEngComm|25|988|doi:10.1039/D2CE01616H
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.cc2dmhzj
title: CCDC 2223288: Experimental Crystal Structure Determination

description: Related Article: C. J. G. Wilson, P. A. Wood, S. Parsons|2023|CrystEngComm|25|988|doi:10.1039/D2CE01616H
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.cc2dmj0l
title: CCDC 2223289: Experimental Crystal Structure Determination

description: Related Article: C. J. G. Wilson, P. A. Wood, S. Parsons|2023|CrystEngComm|25|988|doi:10.1039/D2CE01616H
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.cc2dmj1m
title: CCDC 2223290: Experimental Crystal Structure Determination

description: Related Article: C. J. G. Wilson, P. A. Wood, S. Parsons|2023|CrystEngComm|25|988|doi:10.1039/D2CE01616H
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.cc2dmj2n
title: CCDC 2223291: Experimental Crystal Structure Determination

description: Related Article: C. J. G. Wilson, P. A. Wood, S. Parsons|2023|CrystEngComm|25|988|doi:10.1039/D2CE01616H
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.cc2dmj3p
title: CCDC 2223292: Experimental Crystal Structure Determination

description: Related Article: C. J. G. Wilson, P. A. Wood, S. Parsons|2023|CrystEngComm|25|988|doi:10.1039/D2CE01616H
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: 10.14457/tu.the.2022.126
title: Model for vehicle routing problem with loaded distance by clustering algorithm

description: This independent study aims to determine the optimal route for delivery of fresh food that needs to maintain at a stable temperature, with less loading and the shortest route for customer satisfaction. The vehicle routing problem with load distance (VRPLD) models has been developed to represent the problem. The presented method, Clustering Algorithm, is well founded. On the other hand, when applied with Sweep Clustering or Saving Clustering are better than usual compared with the generated cluster that uses X-means, K-means, and K-Medoid Clustering. The results also confirm the quality by multiple testing with VRP instances.
DOI: 10.5517/ccdc.csd.cc2dmj4q
title: CCDC 2223293: Experimental Crystal Structure Determination

description: Related Article: C. J. G. Wilson, P. A. Wood, S. Parsons|2023|CrystEngComm|25|988|doi:10.1039/D2CE01616H
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.cc2dmj5r
title: CCDC 2223294: Experimental Crystal Structure Determination

description: Related Article: C. J. G. Wilson, P. A. Wood, S. Parsons|2023|CrystEngComm|25|988|doi:10.1039/D2CE01616H
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.cc2dmj6s
title: CCDC 2223295: Experimental Crystal Structure Determination

description: Related Article: C. J. G. Wilson, P. A. Wood, S. Parsons|2023|CrystEngComm|25|988|doi:10.1039/D2CE01616H
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: 10.14457/tu.the.2022.127
title: Surface defect detection in lime by using computer vision

description: Limes are one of the key ingredients used in Thailand, both in food and beverages. Due to such high market demand for Thai limes, quality inspection is then very important. While manual sorting by humans can lead to inaccuracy, leveraging on technology could alternatively make the process more accurate. Limes are graded by quality. The factors that affect the lime quality or market price are texture, shape, color, and maturity. This research focuses on detecting defects or diseases on lime surface by using computer vision through data collection from image capturing. The researcher used k-means clustering as a segmentation technique to separate the surface of limes into clusters. Each cluster was classified into a color indication of diseases or health. To evaluate the cluster, we used artificial neural network (ANN) and support vector machine (SVM), in which results showed that ANN has led to better performance than SVM. Defect percentage on a lime surface can be measured by computation of pixels from clustering. Consequently, this system will reduce both cost and time.