cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8318406
title: H2020 ENODISE: ONERA Auralizations Configuration B2

description: A quick evaluation of the SISW numerical data (https://zenodo.org/record/8176756) and the ECL experimental data (https://zenodo.org/record/7925336) was done on an auditory level through auralisations. The in-house auralisation tool FLAURA was used. Sound signatures were evaluated at the microphone positions 17 and 22 (at 90° to the propeller plane) for single and double propeller configurations, with and without flow. The database is composed of .wav files, presenting the measured temporal data (ECL) either compared to auralised measured spectral data (ECL) or simulated data (SISW). A description of the data is included in a pdf file.
DOI: 10.5281/zenodo.8318441
title: H2020 ENODISE: ONERA Auralizations Configuration B2

description: A quick evaluation of the SISW numerical data (https://zenodo.org/record/8176756) and the ECL experimental data (https://zenodo.org/record/7925336) was done on an auditory level through auralisations. The in-house auralisation tool FLAURA was used. Sound signatures were evaluated at the microphone positions 17 and 22 (at 90° to the propeller plane) for single and double propeller configurations, with and without flow. The database is composed of .wav files, presenting the measured temporal data (ECL) either compared to auralised measured spectral data (ECL) or simulated data (SISW). A description of the data is included in a pdf file.
DOI: 10.5281/zenodo.8321964
title: H2020 ENODISE: ONERA Auralizations Configuration B2

description: A quick evaluation of the SISW numerical data (https://zenodo.org/record/8176756) and the ECL experimental data (https://zenodo.org/record/7925336) was done on an auditory level through auralisations. The in-house auralisation tool FLAURA was used. Sound signatures were evaluated at the microphone positions 17 and 22 (at 90° to the propeller plane) for single and double propeller configurations, with and without flow. The database is composed of .wav files, presenting the measured temporal data (ECL) either compared to auralised measured spectral data (ECL) or simulated data (SISW). A description of the data is included in a pdf file.
DOI: 10.5281/zenodo.8318405
title: H2020 ENODISE: ONERA Auralizations Configuration B2

description: A quick evaluation of the SISW numerical data (https://zenodo.org/record/8176756) and the ECL experimental data (https://zenodo.org/record/7925336) was done on an auditory level through auralisations. The in-house auralisation tool FLAURA was used. Sound signatures were evaluated at the microphone positions 17 and 22 (at 90° to the propeller plane) for single and double propeller configurations, with and without flow. The database is composed of .wav files, presenting the measured temporal data (ECL) either compared to auralised measured spectral data (ECL) or simulated data (SISW). A description of the data is included in a pdf file.
DOI: 10.5683/sp2/8ix6qz
title: The fronto-temporal organization of the arcuate fasciculus and its relationship with speech perception in young and older amateur singers and non-singers

description: This dataverse contains the stimuli and experimental files for a speech perception in noise task that was developed at the Speech Neuroscience Lab (www.speechneurolab.ca). It also includes the questionnaire used to document musical activities, in its original (French) version, as well as an English translation.
DOI: 10.5683/sp2/9ylxdf
title: The phonological loop: is speech special?

description: This dataset contains all the stimuli and experimental materials that were used as part of the study: Deschamps, I., Courson, M., Dick, A.S. Tremblay, P. The phonological loop: is speech special? Exp Brain Res (2020). https://doi.org/10.1007/s00221-020-05886-9. The task is an original auditory discrimination task with verbal (syllables) and non-verbal (bird sounds) auditory stimuli. The stimuli and tasks were developed at the Speech and hearing neuroscience laboratory in Quebec City (www.speechneurolab.ca).
DOI: 10.5517/ccdc.csd.cc2blnk5
title: CCDC 2162887: Experimental Crystal Structure Determination

description: Related Article: Chun-Yan Guan, Tian-Jiao Han, Shi-Kun Jia, Yuan-Zhao Hua, Guang-Jian Mei|2022|Green Synth. Cat.|4|258|doi:10.1016/j.gresc.2022.05.003
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.cc2c9nkx
title: CCDC 2184029: Experimental Crystal Structure Determination

description: Related Article: Raji Vinayagamoorthy, Muthurakku Usha Rani, Sivaperuman Kalainathan, Sekar Anand|2023|RSC Advances|13|24867|doi:10.1039/D3RA04322C
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: 10.5683/sp2/ikkcgq
title: Replication Data for: Identification of predictors of abnormal Calcium, Magnesium and Phosphorus blood levels in the Emergency Department: A retrospective cohort study

description: Dataset and supplementary files related to the project.
DOI: 10.5281/zenodo.8321926
title: desmognathus_bairdi_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8321925
title: desmognathus_bairdi_zanfona_1.fasta.gz

description: .
DOI: 10.18112/openneuro.ds004657.v1.0.1
title: Driving with Autonomous Aids
DOI: 10.6084/m9.figshare.24047229.v1
title: Supplementary Material for: Cx43 facilitates mesenchymal transition of endothelial cells induced by shear stress

description: Objectives: This study aimed to determine the function of Cx43 in the endothelial-to-mesenchymal transition (EndMT) process of endothelial cells (ECs) and to explore the potential signaling pathways underlying these functions. Methods: Endothelial cells (ECs) were extracted from rat aorta. ECs was transfected with Cx43 cDNA, Cx43 siRNA and then exposed to 5 or 12 dyne/cm2. Immunofluorescence staining was used to detect the expression of SM22α in ECs, Cx43 and acetylated-α tubulin in ECs. Western Blotting was used to detected the protein expression of α-SMA, CD31, Cx43, H1-caponin, Ift88 and p-smad3 in ECs. Results: The expression of αSMA, SM22α and Cx43 was significantly increased and CD31 was markedly decreased in ECs treated with laminar shear stress at 5 dyn/cm2. The Cx43 cDNA transfection could induce the expression of SM22α or H1-caponin, and attenuate CD31 expression in the ECs. Also, Cx43 overexpression harms cilia formation in ECs exposed to 5dyn/cm2, accompanied with the regulated Ift88 and smad signaling. Conclusions: This study found that laminar shear stress at 5 dyn/cm2 would increase the expression of Cx43, and interfere with primary cilia formation by inhibiting the expression of Ift88 in ECs.
DOI: 10.11588/data/szss58/cdtvev
title: Werla-um-1000-inkl-Gebaeude_Index03a_Grubenhaeuser-rep.FBX

description: :unav
DOI: 10.11588/data/szss58/xsb83l
title: Werla-Visualisierung-Informationen.pdf

description: :unav
DOI: 10.11588/data/szss58
title: [Ergänzungsdaten] Werla 4 – curtem nostram nomine Werla – Architektur und Struktur einer ottonischen Königspfalz

description: Die Gesamtanalyse Werlas verknüpft die Auswertung der Altgrabungen von 1934-1939 und 1957-1964 mit gezielten Nachgrabungen und minimal-invasiven Sondagen. Werlas gestaffelte Befestigungsanlagen sind Kennzeichen militärischer Stärke, und durch ihre monumentale Architektur wird königliche Macht in Szene gesetzt. In den Vorburgen dominieren einfache, der handwerklichen Produktion dienende Grubenhäuser und Speicherbauten, die Werla als Wirtschaftszentrum im Sinne der Elitenökonomik ausweisen. Die Analyse der Kleinfunde bietet eine andere Perspektive als die Architektur. Sie ermöglicht Aussagen zu Gründungszeit, Blütephase und Aufgabe der Pfalz. Zudem lassen sich berittene, hochrangige Besucher der Königspfalz und ihr engeres Gefolge und sogar die selten anwesende königliche Hofhaltung erkennen. Im mittleren 11. Jahrhundert wurde Werla aufgegeben, ihre Pfalzfunktionen sind nach Goslar übertragen worden. In einer überregionalen Betrachtung kann dies mit dem ökonomischen und politischen Strukturwandel in Zusammenhang gebracht werden, den der ostsächsische Raum erfuhr, als das Königtum von den Ottonen auf die Salier überging. Als ein herausragendes Beispiel für die ottonische Herrschaftsarchitektur und mit seiner Einbindung in das weitere Umland und dessen Strukturierung als eigener Reichsbezirk steht Werla zugleich für die veränderte Rolle, die der Harz im politischen Konzept des 10. und 11. Jahrhunderts spielte.
DOI: 10.11588/data/szss58/begn0w
title: Werla-um1000-Pläne-ReadMe

description: :unav
DOI: 10.11588/data/szss58/fbfsko
title: Werla-Visualisierung-Informationen.pdf

description: :unav
DOI: 10.11588/data/szss58/qzyd9x
title: Werla-um1000-Pläne-PDF

description: :unav
DOI: 10.5517/ccdc.csd.cc2g68kj
title: CCDC 2270147: Experimental Crystal Structure Determination

description: Related Article: Abdulrahman M. Alazemi, Kamal M. Dawood, Hamad M. Al-Matar, Wael M. Tohamy|2023|RSC Advances|13|25054|doi:10.1039/D3RA04558G
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.cc2g68lk
title: CCDC 2270148: Experimental Crystal Structure Determination

description: Related Article: Abdulrahman M. Alazemi, Kamal M. Dawood, Hamad M. Al-Matar, Wael M. Tohamy|2023|RSC Advances|13|25054|doi:10.1039/D3RA04558G
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.cc2g68ml
title: CCDC 2270149: Experimental Crystal Structure Determination

description: Related Article: Abdulrahman M. Alazemi, Kamal M. Dawood, Hamad M. Al-Matar, Wael M. Tohamy|2023|RSC Advances|13|25054|doi:10.1039/D3RA04558G
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: 10.25318/81m0011x-eng
title: National Graduates Survey - Public Use Microdata File

description: This survey was designed to collect details on topics such as: i) the extent to which graduates of postsecondary programs have been successful in obtaining employment since graduation; ii) the relationship between the graduates' program of study and the employment subsequently obtained; iii) the type of employment obtained and qualification requirements; iv) sources of funding for postsecondary education; and v) government-sponsored student loans and other sources of student debt. The survey results are directed towards policy makers, researchers, educators, employers and persons interested in public postsecondary education and graduates' transition from school to work.
DOI: 10.25318/81m0011x-fra
title: Enquête nationale auprès des diplômés - Fichier de microdonnées à grande diffusion

description: Cette enquête était conçue pour recueillir des détails sur des sujets tels que: i) la mesure dans laquelle les diplômés de programmes d'études postsecondaires ont réussi à obtenir un emploi depuis l'obtention de leur diplôme; ii) la relation entre le programme d'études des diplômés et l'emploi obtenu par la suite; iii) le type d'emploi obtenu et les exigences de qualification requises ; iv) sources de financement pour l'éducation postsecondaire ; et v) les prêts étudiants parrainés par le gouvernement et les autres sources d'endettement étudiant. Les résultats de l'enquête s'adressent aux responsables de l'élaboration de politiques, aux chercheurs, aux éducateurs, aux employeurs et aux personnes intéressées par l'éducation postsecondaire publique et par la transition des diplômés entre l'école et le monde du travail.
DOI: 10.6084/m9.figshare.23804091
title: Evaluation of sequence hybridization for respiratory viruses using the Twist Bioscience Respiratory Virus Research panel and the OneCodex Respiratory Virus sequence analysis workflow

description: Supplementary material for 'Evaluation of sequence hybridization for respiratory viruses using the Twist Bioscience Respiratory Virus Research panel and the OneCodex Respiratory Virus sequence analysis workflow', as described in Microbial Genomics.Results from simulation experiments testing known concentrations of synthetic virus controls (influenza H3N2, rhinovirus 89 and SARS-CoV-2) using the Twist Biosciences RVR Panel/OneCodex Respiratory Virus workflow.
DOI: 10.7925/drs1.ucdlib_280001
title: List of drawings belonging to the museum of the Richmond Hospital Dublin

description: Unbound handwritten and typed catalogue entitled 'The National University of Ireland. University College Dublin. Department of Pathology. List of Drawings Belonging to the Museum of the Richmond Hospital Dublin.' Initials T.T.O'F are on the front and may relate to the compiler.
description: Date details: This item is undated, approximate dates are given based on dates for the entire collection.
description: Responsibility: The initial T.T.O'F are on printed on the cover. This possibly refers to Professor Thomas T. O'Farrell but cannot be attributed to him for certain.
DOI: 10.7925/drs1.ucdlib_280002
title: Handwritten pathology catalogue

description: Handwritten pathology catalogue.
description: Date details: This item is undated, approximate dates are given based on dates for the entire collection.
DOI: 10.7925/drs1.ucdlib_280003
title: Chronic orchitis

description: Watercolour medical illustration depicting chronic orchitis in a man. It has the alternative reference numbers 1609, 297 and P5 on the front. The Richmond Hospital Museum reference is A.a.19. The entry for this in P263/1 pg. 3 reads 'Chronic orchitis'. The handwritten note on the back reads 'Michael Kerrigan 30. Granular Testicular'.
description: Users are advised that this item contains graphic images which may cause upset or distress.
description: Numbering/sequence: Original reference number: 1609.
description: Date details: This illustration is undated, approximate dates are given based on dates for the entire collection.
DOI: 10.6084/m9.figshare.23589387
title: Yearly Reconstructed Texas AOD (95% threshold)

description: This is the polished aggregated AOD yearly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model. This dataset is generated by averaging the monthly layers from "Quarterly Reconstructed Texas AOD (95% threshold)".
DOI: 10.6084/m9.figshare.23589387.v2
title: Yearly Reconstructed Texas AOD (95% threshold)

description: This is the polished aggregated AOD yearly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model. This dataset is generated by averaging the monthly layers from "Quarterly Reconstructed Texas AOD (95% threshold)".
DOI: 10.6084/m9.figshare.23589387.v1
title: Yearly Reconstructed Texas AOD (95% threshold)

description: This is the polished aggregated AOD yearly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model. This dataset is generated by averaging the monthly layers from "Quarterly Reconstructed Texas AOD (95% threshold)".
DOI: 10.6084/m9.figshare.23589378
title: Yearly Reconstructed Texas AOD (99.7% threshold)

description: This is the polished aggregated AOD yearly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model. This dataset is generated by averaging the monthly layers from "Quarterly Reconstructed Texas AOD (99.7% threshold)".
DOI: 10.6084/m9.figshare.23589378.v2
title: Yearly Reconstructed Texas AOD (99.7% threshold)

description: This is the polished aggregated AOD yearly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model. This dataset is generated by averaging the monthly layers from "Quarterly Reconstructed Texas AOD (99.7% threshold)".
DOI: 10.6084/m9.figshare.23589378.v1
title: Yearly Reconstructed Texas AOD (99.7% threshold)

description: This is the polished aggregated AOD yearly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model. This dataset is generated by averaging the monthly layers from "Quarterly Reconstructed Texas AOD (99.7% threshold)".
DOI: 10.6084/m9.figshare.23589375
title: Quarterly Reconstructed Texas AOD (95% threshold)

description: This is the polished aggregated AOD quarterly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model. This dataset is generated by averaging the monthly layers from "Monthly Reconstructed Texas AOD (95% threshold)".
DOI: 10.6084/m9.figshare.23589375.v2
title: Quarterly Reconstructed Texas AOD (95% threshold)

description: This is the polished aggregated AOD quarterly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model. This dataset is generated by averaging the monthly layers from "Monthly Reconstructed Texas AOD (95% threshold)".
DOI: 10.6084/m9.figshare.23589375.v1
title: Quarterly Reconstructed Texas AOD (95% threshold)

description: This is the polished aggregated AOD quarterly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model. This dataset is generated by averaging the monthly layers from "Monthly Reconstructed Texas AOD (95% threshold)".
DOI: 10.5281/zenodo.8322044
title: Classification datasets

description: Classification datasets used in the paper 'Random forests with parametric entropy-based information gains for classification and regression problems'. The authors of har dataset are Jorge L. Reyes-Ortiz, Davide Anguita, Alessandro Ghio, Luca Oneto and Xavier Parra.This dataset is also available at https://www.openml.org/search?type=data&status=active&id=1478&sort=runs. The author of eeg-eye-state dataset is Oliver Roesler. This dataset is also available at https://www.openml.org/search?type=data&status=active&id=1471&sort=runs. The author of shuttle dataset is Jason Catlett Basser. This dataset is also available at https://www.openml.org/search?type=data&status=active&id=40685&sort=runs.
DOI: 10.6084/m9.figshare.23589372
title: Quarterly Reconstructed Texas AOD (99.7% threshold)

description: This is the polished aggregated AOD quarterly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model. This dataset is generated by averaging the monthly layers from "Monthly Reconstructed Texas AOD (99.7% threshold)".
DOI: 10.5281/zenodo.8322043
title: Classification datasets

description: Classification datasets used in the paper 'Random forests with parametric entropy-based information gains for classification and regression problems'. The authors of har dataset are Jorge L. Reyes-Ortiz, Davide Anguita, Alessandro Ghio, Luca Oneto and Xavier Parra.This dataset is also available at https://www.openml.org/search?type=data&status=active&id=1478&sort=runs. The author of eeg-eye-state dataset is Oliver Roesler. This dataset is also available at https://www.openml.org/search?type=data&status=active&id=1471&sort=runs. The author of shuttle dataset is Jason Catlett Basser. This dataset is also available at https://www.openml.org/search?type=data&status=active&id=40685&sort=runs.
DOI: 10.6084/m9.figshare.23589372.v2
title: Quarterly Reconstructed Texas AOD (99.7% threshold)

description: This is the polished aggregated AOD quarterly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model. This dataset is generated by averaging the monthly layers from "Monthly Reconstructed Texas AOD (99.7% threshold)".
DOI: 10.6084/m9.figshare.23589372.v1
title: Quarterly Reconstructed Texas AOD (99.7% threshold)

description: This is the polished aggregated AOD quarterly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model. This dataset is generated by averaging the monthly layers from "Monthly Reconstructed Texas AOD (99.7% threshold)".
DOI: 10.6084/m9.figshare.23589366
title: Monthly Reconstructed Texas AOD (99.7% threshold)

description: This is the polished aggregated AOD quarterly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model. Given that AOD data can be influenced by short-term events like heavy rain or thunderstorm, we generated “smoothly aggregated” data composites to mitigate the impact of temporary disturbances or anomalous measurements, allowing for a more accurate characterization of the average AOD levels. Specifically, within a month, the daily data tails beyond the 3rd standard deviation ranges were excluded. This means that data points falling outside the 99.7% distribution were not considered in the monthly averaging process.
DOI: 10.6084/m9.figshare.23589366.v2
title: Monthly Reconstructed Texas AOD (99.7% threshold)

description: This is the polished aggregated AOD quarterly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model. Given that AOD data can be influenced by short-term events like heavy rain or thunderstorm, we generated “smoothly aggregated” data composites to mitigate the impact of temporary disturbances or anomalous measurements, allowing for a more accurate characterization of the average AOD levels. Specifically, within a month, the daily data tails beyond the 3rd standard deviation ranges were excluded. This means that data points falling outside the 99.7% distribution were not considered in the monthly averaging process.
DOI: 10.6084/m9.figshare.23589366.v1
title: Monthly Reconstructed Texas AOD (99.7% threshold)

description: This is the polished aggregated AOD quarterly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model. Given that AOD data can be influenced by short-term events like heavy rain or thunderstorm, we generated “smoothly aggregated” data composites to mitigate the impact of temporary disturbances or anomalous measurements, allowing for a more accurate characterization of the average AOD levels. Specifically, within a month, the daily data tails beyond the 3rd standard deviation ranges were excluded. This means that data points falling outside the 99.7% distribution were not considered in the monthly averaging process.