cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4726288
title: Test Smell Detection Tools: A Systematic Mapping Study

description: This is the dataset that accompanies the study: "<strong>Test Smell Detection Tools: A Systematic Mapping Study</strong>." This study has been accepted for publication at 2021 The International Conference on Evaluation and Assessment in Software Engineering (EASE '21). <strong><em>Following is the abstract of the study:</em></strong> Test smells are defined as sub-optimal design choices developers make when implementing test cases. Hence, similar to code smells, the research community has produced numerous test smell detection tools to investigate the impact of test smells on the quality and maintenance of test suites. However, little is known about the characteristics, type of smells, target language, and availability of these published tools. In this paper, we provide a detailed catalog of all known, peer-reviewed, test smell detection tools. We start with performing a comprehensive search of peer-reviewed scientific publications to construct a catalog of 22 tools. Then, we perform a comparative analysis to identify the smell types detected by each tool and other salient features that include programming language, testing framework support, detection strategy, and adoption, among others. From our findings, we discover tools that detect test smells in Java, Scala, Smalltalk, and C++ test suites, with Java support favored by most tools. These tools are available as command-line and IDE plugins, among others. Our analysis also shows that most tools overlap in detecting specific smell types, such as General Fixture. Further, we encounter four types of techniques these tools utilize to detect smells. We envision our study as a one-stop source for researchers and practitioners in determining the tool appropriate for their needs. Our findings also empower the community with information to guide future tool development.
description: For more information about our research on test smells, visit: https://testsmells.org/
DOI: 10.5281/zenodo.4726287
title: Test Smell Detection Tools: A Systematic Mapping Study

description: This is the dataset that accompanies the study: "<strong>Test Smell Detection Tools: A Systematic Mapping Study</strong>." This study has been accepted for publication at 2021 The International Conference on Evaluation and Assessment in Software Engineering (EASE '21). <strong><em>Following is the abstract of the study:</em></strong> Test smells are defined as sub-optimal design choices developers make when implementing test cases. Hence, similar to code smells, the research community has produced numerous test smell detection tools to investigate the impact of test smells on the quality and maintenance of test suites. However, little is known about the characteristics, type of smells, target language, and availability of these published tools. In this paper, we provide a detailed catalog of all known, peer-reviewed, test smell detection tools. We start with performing a comprehensive search of peer-reviewed scientific publications to construct a catalog of 22 tools. Then, we perform a comparative analysis to identify the smell types detected by each tool and other salient features that include programming language, testing framework support, detection strategy, and adoption, among others. From our findings, we discover tools that detect test smells in Java, Scala, Smalltalk, and C++ test suites, with Java support favored by most tools. These tools are available as command-line and IDE plugins, among others. Our analysis also shows that most tools overlap in detecting specific smell types, such as General Fixture. Further, we encounter four types of techniques these tools utilize to detect smells. We envision our study as a one-stop source for researchers and practitioners in determining the tool appropriate for their needs. Our findings also empower the community with information to guide future tool development.
description: For more information about our research on test smells, visit: https://testsmells.org/
DOI: 10.5525/gla.researchdata.1134
title: LexOPS: An R package and user interface for the controlled generation of word stimuli

description: This dataset contains the 'dataset' and 'validation' files. Please follow the Zenodo DOI: http://doi.org/10.5281/zenodo.4723354 to access the code.
DOI: 10.5445/ir/1000131902
title: Dataset to On the impact of spanwise inhomogeneous boundary conditions on secondary flows in turbulent channels

description: Dieses Datenrepository enthält die wichtigsten Simulationsdaten der Masterarbeit "On the impact of spanwise inhomogeneous boundary conditions on secondary flows in turbulent channels" von Jonathan Neuhauser (2021). Insbesondere sind die zeitlich und in Strömungsrichtung gemittelten Strömungsfelder (mittlere Geschwindigkeiten, Reynoldsspannungen, Dreifachkorrelationen, Terme der TKE-Bilanz) aller Simulationen enthalten. Die Daten sind als komprimierte NumPy-Datei im Unterordner der jeweiligen Simulation abgelegt. Um die Auswertung zu vereinfachen, ist ein Skript (inkl. der im Rahmen der Arbeit erstellten pyxcompact-Bibliothek) beigelegt, mit dem die Daten für alle Abbildungen, die auf den enthaltenen Simulationen basieren, extrahiert werden.
DOI: 10.25824/redu/cmwgaf
title: (1) Mapa das APP do alto curso da bacia hidrográfica do rio Jaguari.jpg

description: Fonte de dados: Folha topográfica IBGE 1: 50.000 e Imagens Sentinel 2A - 25/07/2020; Referência espacial: Datum SIRGAS 2000 Projeção: UTM Zona 23S Autoria: Natasha M. P Santos Financiamento: FAPESP
DOI: 10.24376/rd.sgul.14510190
title: Data supporting "Factors associated with brain damage in smoking-related diseases: Chronic Obstructive Pulmonary Disease (COPD) and coronary artery disease"

description: Data supporting "Factors associated with brain damage in smoking-related diseases: Chronic Obstructive Pulmonary Disease (COPD) and coronary artery disease".<br>A zip archive is provided, containing the data as an excel file "COPD_&_CAD_data.xlsx" and and associated readme file "COPD_&_CAD_data_readme.txt.<br>The dataset comprises demographics and a range of biomedical variables from a cohort of 100 patients (53 patients with a primary diagnosis of Chronic Obstructive Pulmonary Disease (COPD), 24 with a primary diagnosis of coronary artery disease (CAD) and 23 with both COPD and CAD. Patients were recruited from respiratory and cardiology departments at St George's Hospital NHS Foundation Trust between December 2015 and October 2017. Variables include a range of markers of respiratory function, vascular risk, cardiovascular system, systemic inflammation, retinal microvascular pathology (from retinal photography) and structural brain damage (from brain magnetic resonance imaging).<br>Ethical approval was granted by the national research ethics committee London - Dulwich (16/LO/0547) and East Midlands - Leicester South Research Ethics Committee (15/EM/0425). All patients provided informed written consent. <br><br>Raw data is provided on Sheet 1 of the Excel file. Sheet 2 of the Excel file includes age and sex adjusted variables (residuals from linear regressions with age and sex entered as predictors). A number of variables had a non-Guassian distribution. These variables were transformed using log<sub>10</sub> or square root transformations with or without first reflecting about the mean (indicated in variable names) prior to adjusting for age and sex. <br>
DOI: 10.24376/rd.sgul.14510190.v1
title: Data supporting "Factors associated with brain damage in smoking-related diseases: Chronic Obstructive Pulmonary Disease (COPD) and coronary artery disease"

description: Data supporting "Factors associated with brain damage in smoking-related diseases: Chronic Obstructive Pulmonary Disease (COPD) and coronary artery disease".<br>A zip archive is provided, containing the data as an excel file "COPD_&_CAD_data.xlsx" and and associated readme file "COPD_&_CAD_data_readme.txt.<br>The dataset comprises demographics and a range of biomedical variables from a cohort of 100 patients (53 patients with a primary diagnosis of Chronic Obstructive Pulmonary Disease (COPD), 24 with a primary diagnosis of coronary artery disease (CAD) and 23 with both COPD and CAD. Patients were recruited from respiratory and cardiology departments at St George's Hospital NHS Foundation Trust between December 2015 and October 2017. Variables include a range of markers of respiratory function, vascular risk, cardiovascular system, systemic inflammation, retinal microvascular pathology (from retinal photography) and structural brain damage (from brain magnetic resonance imaging).<br>Ethical approval was granted by the national research ethics committee London - Dulwich (16/LO/0547) and East Midlands - Leicester South Research Ethics Committee (15/EM/0425). All patients provided informed written consent. <br><br>Raw data is provided on Sheet 1 of the Excel file. Sheet 2 of the Excel file includes age and sex adjusted variables (residuals from linear regressions with age and sex entered as predictors). A number of variables had a non-Guassian distribution. These variables were transformed using log<sub>10</sub> or square root transformations with or without first reflecting about the mean (indicated in variable names) prior to adjusting for age and sex. <br>
DOI: 10.25824/redu/tjzt17
title: (1a) Mapa das APP do alto curso da bacia hidrográfica do rio Jaguari.tif

description: Fonte de dados: Folhas topográficas IBGE 1:50.000 e Imagens Sentinel 2A - 25/07/2020; Referência espacial: Datum SIRGAS 2000 Projeção: UTM Zona 23S Autoria: Natasha M. P Santos Financiamento: FAPESP
DOI: 10.25824/redu/vhleat
title: (2) Mapa do uso e ocupação da terra nas APP no alto curso da bacia hidrográfica do rio Jaguari.jpg

description: Fonte de dados: Folhas topográficas IBGE 1:50.000 e imagens Sentinel 2A - 25/07/2020; Referência espacial: Datum SIRGAS 2000 Projeção: UTM Zona 23S Autoria: Natasha M. P Santos Financiamento: FAPESP
DOI: 10.25824/redu/suinib
title: (2)(a)Mapa do uso e ocupação da terra nas APP no alto curso da bacia hidrográfica do rio Jaguari.tif

description: Fonte de dados: Folhas topográficas IBGE 1:50.000 e imagens Sentinel 2A - 25/07/2020; Referência espacial: Datum SIRGAS 2000 Projeção: UTM Zona 23S Autoria: Natasha M. P Santos Financiamento: FAPESP
DOI: 10.5066/p9rgr79e
title: Water and sediment leachate chemistry from the San Juan Generating Station, Waterflow, NM, January 2021

description: The San Juan Generating Station in Waterflow, NM, owned by the Public Service Company of New Mexico (PNM) is a coal-fired power plant that operates on coal mined on the same property. This plant is scheduled to shut down in 2022. In light of this impending closure, the Bureau of Reclamation (Reclamation) is interested in purchasing the plant's raw-water reservoir for use in the Navajo-Gallup Water Supply Project (NGWSP). Concerns about contamination leaking from the reservoir or being mobilized by groundwater flow affected by the leaking reservoir have resulted in Reclamation eliciting a short study of the water and sediment chemistry surrounding the reservoir and the recovery system set up by PNM. The U.S. Geological Survey (USGS) New Mexico Water Science Center collected water and sediment samples in the area in January 2021. Water and sediment samples were sent the University of New Mexico to be analyzed in the Analytical Chemistry Laboratory (UNM-ACL) in the Earth and Planetary Sciences Department.
DOI: 10.5066/p9b8ow9f
title: Water and sediment leachate chemistry from the San Juan Generating Station, Waterflow, NM, January 2021

description: The San Juan Generating Station in Waterflow, NM, owned by the Public Service Company of New Mexico (PNM) is a coal-fired power plant that operates on coal mined on the same property. This plant is scheduled to shut down in 2022. In light of this impending closure, the Bureau of Reclamation (Reclamation) is interested in purchasing the plant's raw-water reservoir for use in the Navajo-Gallup Water Supply Project (NGWSP). Concerns about contamination leaking from the reservoir or being mobilized by groundwater flow affected by the leaking reservoir have resulted in Reclamation eliciting a short study of the water and sediment chemistry surrounding the reservoir and the recovery system set up by PNM. The U.S. Geological Survey (USGS) New Mexico Water Science Center collected water and sediment samples in the area in January 2021. Water and sediment samples were sent the University of New Mexico to be analyzed in the Analytical Chemistry Laboratory (UNM-ACL) in the Earth and Planetary Sciences Department.
DOI: 10.5281/zenodo.4727536
title: Towards a more 'scale-aware' orographic gravity wave drag parametrization

description: This data is for the reproduction of work to be published to Quarterly Journal of the Royal Meteorological Society. Details of individual files can be found in 'uploads.txt'.
DOI: 10.5281/zenodo.4727535
title: Towards a more 'scale-aware' orographic gravity wave drag parametrization

description: This data is for the reproduction of work to be published to Quarterly Journal of the Royal Meteorological Society. Details of individual files can be found in 'uploads.txt'.
DOI: 10.25405/data.ncl.14331314
title: Data for emulating computer experiments of infrastructure slope stability using Gaussian processes and Bayesian inference

description: This is a repository for the data used in emulating computer experiments of deterioration of infrastructure slopes. <br><br>The DATA.csv file includes the raw data.<br>The ManuscriptDATA.csv file includes all of the data used for computer experiments, with inputs from DATA.csv (some columns have been transformed, see the CodeExample PDF or RMarkdown files for information) and TTF.csv.<br><b>The CodeExample RMarkdown and PDF files provide R code to reproduce the results in the file FULLsqM5N.rds. They can be found in (DOI) https://doi.org/10.25405/data.ncl.14447670</b>
DOI: 10.25405/data.ncl.14331314.v2
title: Data for emulating computer experiments of infrastructure slope stability using Gaussian processes and Bayesian inference

description: This is a repository for the data used in emulating computer experiments of deterioration of infrastructure slopes. <br><br>The DATA.csv file includes the raw data.<br>The ManuscriptDATA.csv file includes all of the data used for computer experiments, with inputs from DATA.csv (some columns have been transformed, see the CodeExample PDF or RMarkdown files for information) and TTF.csv.<br><b>The CodeExample RMarkdown and PDF files provide R code to reproduce the results in the file FULLsqM5N.rds. They can be found in (DOI) https://doi.org/10.25405/data.ncl.14447670</b>
DOI: 10.25405/data.ncl.14331314.v1
title: Data for emulating computer experiments of infrastructure slope stability using Gaussian processes and Bayesian inference

description: This is a repository for the data used in emulating computer experiments of deterioration of infrastructure slopes. <br><br>The DATA.csv file includes the raw data.<br>The ManuscriptDATA.csv file includes all of the data used for computer experiments, with inputs from DATA.csv (some columns have been transformed, see the CodeExample PDF or RMarkdown files for information) and TTF.csv.<br>The CodeExample RMarkdown and PDF files provide R code to reproduce the results in the file FULLsqM5N.rds. They can be found in (DOI) 10.25405/data.ncl.14447670
DOI: 10.5517/ccdc.csd.cc253h1v
title: CCDC 1999346: Experimental Crystal Structure Determination

description: Related Article: M. Kumasaki, S. Gontani, K. Mori, S. Matsumoto, K. Inoue|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|197|doi:10.1107/S2053229621003260
DOI: 10.5517/ccdc.csd.cc2614xb
title: CCDC 2026901: Experimental Crystal Structure Determination

description: Related Article: L.-F. Wang, X.-G. Liu, M.-M. Meng, Y.-K. Xu, R. Zhu, R. Zhang, Z.-Z. Lu, W. Huang|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|221|doi:10.1107/S2053229621003296
DOI: 10.5517/ccdc.csd.cc2614zd
title: CCDC 2026903: Experimental Crystal Structure Determination

description: Related Article: L.-F. Wang, X.-G. Liu, M.-M. Meng, Y.-K. Xu, R. Zhu, R. Zhang, Z.-Z. Lu, W. Huang|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|221|doi:10.1107/S2053229621003296
DOI: 10.5517/ccdc.csd.cc2329h0
title: CCDC 1938631: Experimental Crystal Structure Determination

description: Related Article: S. Budow-Busse, Y. Chai, S.L. Müller, C. Daniliuc, F. Seela|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|202|doi:10.1107/S2053229621003430
DOI: 10.5517/ccdc.csd.cc27n3lm
title: CCDC 2074910: Experimental Crystal Structure Determination

description: Related Article: A. Linden, T.S. Basu Baul|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|209|doi:10.1107/S2053229621003545
DOI: 10.5517/ccdc.csd.cc27n3mn
title: CCDC 2074911: Experimental Crystal Structure Determination

description: Related Article: A. Linden, T.S. Basu Baul|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|209|doi:10.1107/S2053229621003545
DOI: 10.5517/ccdc.csd.cc27n3np
title: CCDC 2074912: Experimental Crystal Structure Determination

description: Related Article: A. Linden, T.S. Basu Baul|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|209|doi:10.1107/S2053229621003545
DOI: 10.5517/ccdc.csd.cc27n3pq
title: CCDC 2074913: Experimental Crystal Structure Determination

description: Related Article: A. Linden, T.S. Basu Baul|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|209|doi:10.1107/S2053229621003545
DOI: 10.5286/isis.e.rb1920027
title: Spectroscopic Imaging of Water and its Application to Fluid Dynamics & Crystallisation Kinetics

description: This proposal seeks to explore how pulsed-neutron imaging could be extended beyond the state-of-the-art, in order to provide novel insights into the physico-chemical properties of systems devoid of long-range order. To this end, we have capitalised from new capabilities on VESUVIO to obtain total cross-section data for water over an unprecedented energy-transfer range, from meV to tens of eV. In the low-energy regime, these data can be used to obtain water number densities and temperatures with an accuracy of a few %, thus opening up entirely new opportunities for a plethora of applications of pulsed-neutron imaging. As a first demonstrator on IMAT, we would like to use a so-called natural circulation cavity, in order to visualise water concentrations, temperature gradients, and crystallisation kinetics as a function of both space & time.
DOI: 10.5286/isis.e.rb1920027-1
title: Spectroscopic Imaging of Water and its Application to Fluid Dynamics & Crystallisation Kinetics

description: This proposal seeks to explore how pulsed-neutron imaging could be extended beyond the state-of-the-art, in order to provide novel insights into the physico-chemical properties of systems devoid of long-range order. To this end, we have capitalised from new capabilities on VESUVIO to obtain total cross-section data for water over an unprecedented energy-transfer range, from meV to tens of eV. In the low-energy regime, these data can be used to obtain water number densities and temperatures with an accuracy of a few %, thus opening up entirely new opportunities for a plethora of applications of pulsed-neutron imaging. As a first demonstrator on IMAT, we would like to use a so-called natural circulation cavity, in order to visualise water concentrations, temperature gradients, and crystallisation kinetics as a function of both space & time.
DOI: 10.21954/ou.rd.14425499.v1
title: PhD thesis "Preclinical and clinical early Alzheimer’s disease (AD) biomarker discovery using proteins and microRNAs carried by small extracellular vesicles (sEVs)"

description: In the context of blood-based biomarker discovery for early dementia, we focused on small extracellular vesicles (sEVs). SEVs contain specific cargoes (proteins and microRNAs) that may reflect brain disease. They can cross the blood-brain barrier and can be isolated from biofluids, which may improve the detection of Alzheimer's disease outside the brain.The data of this non-book component derived from cognitively normal controls, mild cognitive impaired and demented subjects. We also analysed two publicy available GEO datasets (GSE120584 and GSE63060/1). The methodology for data collection and analysis is fully described within the thesis (chapter V and chapter IX). The non-book component consists in the following excel files:- “Alignment_data_RNAseq”. This file contains the alignment data between miRNA reads and miRBase 22 database.- “diff-exprs-DESeq2-ADvsCtrl_Plasma_sEVs”. This file contains differentially expressed sEVs-miRNAs for the contrast Ctrl vs AD.- “diff-exprs-DESeq2-MCIvsCtrl_Plasma_sEVs”. This file contains differentially expressed sEVs-miRNAs for the contrast MCI vs Ctrl.- “GSE120584_gammaCtrl-MCI-AD_10bootstraps_miRNA_in serum”. This file contains gamma values for miRNAs in serum across AD stages.- “TABLE_11miRNAs-search-x-GeneTargets_440interactions”. This file shows the mRNA-miRNA pairs for network visualization.<br><br><br>
DOI: 10.6084/m9.figshare.14511048
title: Park availability, accessibility, and attractiveness in relation to the least and most vulnerable inhabitants - Supplemental Materials

description: Article: Park availability, accessibility, and attractiveness in relation to the least and most vulnerable inhabitants - Supplemental Materials 1, 2 and 3<br>
DOI: 10.6084/m9.figshare.14511048.v1
title: Park availability, accessibility, and attractiveness in relation to the least and most vulnerable inhabitants - Supplemental Materials

description: Article: Park availability, accessibility, and attractiveness in relation to the least and most vulnerable inhabitants - Supplemental Materials 1, 2 and 3<br>
DOI: 10.6084/m9.figshare.14511051
title: Влияние кластерной политики на конкурентоспособность промышленных предприятий (магистерская диссертация, экономический факультет МГУ)

description: Набор данных содержит расчеты по определению продуктовых границ российских кластеров, исходные данные по промышленным кластерам России и США, построение регрессий.<br>
DOI: 10.6084/m9.figshare.14511051.v1
title: Влияние кластерной политики на конкурентоспособность промышленных предприятий (магистерская диссертация, экономический факультет МГУ)

description: Набор данных содержит расчеты по определению продуктовых границ российских кластеров, исходные данные по промышленным кластерам России и США, построение регрессий.<br>
DOI: 10.17632/hv9dskxhmz.1
title: Impact of mycotoxins-contaminated corn silage intake on the untargeted metabolomic profile of cow milk - Supplementary table 1

description: Metabolomic dataset resulting from the UHPLC-HRMS (Orbitrap) analysis containing all the annotated metabolites in bunk tank milk samples collected from dairy cows following the intake of corn silages contaminated by mycotoxins, together with their level of confidence in annotation, relative abundance, and composite mass spectrum (MS and MSMS transitions). The discriminant milk metabolites passing the different statistical approaches (i.e., Volcano Plots and VIP selection method) together with the cross-validation parameters of the OPLS-DA prediction model built are also provided.
DOI: 10.17632/tz4z2syb2r.2
title: DDX11 loss causes replication stress and pharmacologically exploitable DNA repair defects
DOI: 10.17632/7b67yg29d6.1
title: Supplementary data of Yamaoka et al

description: Multiple sequence alignment data of SARS-CoV-2 NP and Full-length structural model of SARS-CoV-2 NP
DOI: 10.17632/59tgt8jd93.1
title: huang raw data

description: reservoir expriment