cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7345251
title: FDTD simulation of various thickness PAAO covered with Ag NPs and DLC in different mediums (AoI 45 deg., p-polarization)

description: FDTD software: Lumerical (Ansys, version 2021 R2.3). Structure: aluminum (Palik) substrate; 230/260/290/320/350 nm thickness (<em>h</em>) aluminum oxide (Palik) layer with 35 nm diameter (<em>RPo</em>) cylindrical pores with 100 nm distance (<em>D</em>) between the pore centers (representing porous anodized aluminum oxide - PAAO); 60 nm diameter (<em>AgRNP</em>) silver (Palik) nanoparticles (Ag NPs) placed directly above each pore; 60 nm thickness (<em>DLC</em>) layer with experimentally obtained optical properties of diamond-like carbon (DLC). Ag nanoparticles are encapsulated in DLC. DLC optical properties are averaged result of the matrix properties in DLC:Ag nanocomposite obtained by fitting spectroscopic ellipsometry data, which is available here: https://doi.org/10.5281/zenodo.7341684 The file used in the simulations is provided in this data set. Refractive index of the surrounding medium (<em>n</em>): 1.0; 1.1; 1.2; 1.3. Simulation region: from 300 nm below the substrate/PAAO interface to 1.3 µm above PAAO surface; x and y spans are equal to one period of the structure. Mesh override region: from 50 nm below the PAAO to 50 nm above DLC:Ag; 2 nm step size in each direction. Light source: BFAST plane wave light source; 500 nm above PAAO; 45° angle of incidence (<em>ang</em>); 300 nm – 1000 nm wavelength range; p-polarization (<em>pol</em>). Monitor (frequency domain field and power): 2D Z-normal; 1 µm above PAAO; results are in "<em>_reflection.txt</em>" files. Information in the file name: <em>h</em> - thickness of PAAO; <em>AgRNP</em> - diameter of silver nanoparticles; <em>DLC</em> - thickness of DLC; <em>pol</em> - polarization; <em>RPo</em> - diameter of pores; <em>D</em> - distance between pore centers; <em>ang</em> - angle of incidence; <em>n</em> - refractive index of surrounding medium. Files: (1) "<em>_reflection.txt</em>" - lambda(nm) (first column) - wavelength in nanometers; Y (second column) - T data from the monitor above the structure. (2) "<em>_p0.log</em>" - log file produced by the software while running the simulation. (3) "<em>.fsp</em>" - Lumerical software file containing the simulation project (license required to open these files). (4) "<em>Lumerical_Screenshots.pdf</em>" - shows software screenshots for every object and its every property; red text is added to show which values are different for different simulations. (5) "<em>Structure_Illustration.jpg</em>" - a schematic of modeled structure. (6) "<em>.jpg</em>" - a preview of data from "<em>_reflection.txt</em>" files. (7) "<em>DLC_SE_nk_average.txt</em>" - contains DLC optical properties (first column - wavelength in nanometers; second column - refractive index; third column - extinction coefficient).
description: The research was carried out under postdoctoral project "Patterned hybrid multilayer films for optical sensors", No. 1.1.1.2/VIAA/4/20/615.
DOI: 10.17608/k6.auckland.21601620.v1
title: T&F Community of Inquiry Manuscript data.sav

description: Teachers’ online professional development (PD) has been valued as a crucial and effective way to promote teaching competencies. Forming a professional learning community that allows teachers to learn collectively has been recognized as a means to promote effective PD. Within this realm of research, the Community of Inquiry (CoI) framework was deemed a collaborative-constructivist process model that describes successful online learning experiences. The CoI has been associated with many other psychological and educational variables, such as learning achievement and sense of efficacy. This study exploits the CoI framework to assess teachers' online professional learning quality and explores its relationship with teachers’ self-efficacy and online professional learning achievement. 456 teacher participants from Chinese middle schools (439 valid cases with 139 males and 300 females) participated in our study. They responded to a questionnaire containing three separate instruments measuring their assessments of online learning quality (reflected by the CoI instrument score), sense of self-efficacy, and perceived learning achievement. Linear regression, PROCESS Macro mediation, and moderation analyses were run to answer the research questions. The findings of the study revealed a significant relationship between teachers’ online learning quality and their self-efficacy and learning achievement. The mediating roles of self-efficacy and learning achievement were also confirmed. The moderating role of time spent on receiving online professional learning was also recognized. Implications and future directions were discussed. Informed consent to participate was obtained from all individual participants included in the study. Informed consent for publication was obtained from all individual participants included in the study.
DOI: 10.5257/iea/ept/2022q3
title: Energy Prices and Taxes (2022Q3 Edition)

description: Energy Prices Taxes contains a major international compilation of energy prices of OECD countries: including crude oil and oil product spot prices, import costs by crude stream, industry prices and consumer prices. The end-user prices cover the main petroleum products, gas, coal and electricity. Every issue includes full notes on sources and methods and a description of price mechanisms in each country. Time series availability varies with each data series.
DOI: 10.2908/sts_copi_q
title: Prix à la production dans la construction ou coûts, nouveaux bâtiments résidentiels - données trimestrielles
title: Erzeugerpreise im Baugewerbe oder Baukosten, neue Wohngebäude - vierteljährliche Daten
title: Construction producer prices or costs, new residential buildings - quarterly data
DOI: 10.5281/zenodo.5467979
title: Forschungsdaten und Fragebogen zur "Umfrage zum Bedarf und Nutzung von Organisations-IDs an Hochschulen und außeruniversitären Forschungseinrichtungen in Deutschland"

description: *English description below* Um mehr über den Status quo der Nutzung und Verbreitung von Organisations-IDs in Deutschland zu erfahren, wurde im Rahmen des DFG-geförderten Projekts ORCID DE im Zeitraum vom 13.07.2020 bis zum 04.12.2020 eine „Umfrage zum Bedarf und Nutzung von Organisations-IDs an Hochschulen und außeruniversitären Forschungseinrichtungen in Deutschland“ unter 548 wissenschaftlichen Einrichtungen in Deutschland durchgeführt. An der bislang größten Befragung zu Organisations-IDs in Deutschland beteiligten sich 183 Einrichtungen. Bestandteil der Studie waren unter anderem Fragen zur Kenntnis, Verbreitung und Nutzung von Organisations-IDs an wissenschaftlichen Einrichtungen. Darüber hinaus wurden Anforderungen an Organisations-IDs bzw. ihre Metadaten (z. B. Relationen und Granularität) erfragt. Die vorliegende quantitative Befragung wurde als Online-Umfrage durchgeführt. Technisch wurde die Befragung mit der Software LimeSurvey auf einem Server der Universität Bielefeld umgesetzt. Die vorliegende CSV-Datei enthält die aus Lime-Survey exportierten, prozessierten und anonymisierten Antworten der 183 teilnehmenden Einrichtungen auf die 22 gestellten Fragen. Der Fragebogen wurde besseren Nachvollziehbarkeit der Dokumentation sowie zur Reproduzierbarkeit ebenfalls als PDF-Datei bereitgestellt. Sowohl die Forschungsdaten als auch der Fragebogen sind auf Deutsch. In order to learn more about the status quo of the use and dissemination of organizational identifiers in Germany, a "Survey on the Need for and Use of Organizational Identifiers at Universities and Non-University Research Institutions in Germany" was conducted among 548 research institutions in Germany in the period from July 13, 2020 to December 4, 2020 as part of the DFG-funded ORCID DE project. This survey constitutes the largest survey on organizational identifiers in Germany to date; it counts 183 participating institutions. Among other things, the survey included questions on the knowledge, distribution, and use of organizational identifiers at research institutions. Technically, the survey was implemented with the software LimeSurvey on a server at Bielefeld University. This CSV file contains the processed and anonymised answers of the 183 participating institutions to the 22 questions exported from LimeSurvey. The questionnaire was also made available as a PDF file for better traceability of the documentation and for reproducibility. Both the research data and the questionnaire are in German.
DOI: 10.5281/zenodo.5467980
title: Forschungsdaten und Fragebogen zur "Umfrage zum Bedarf und Nutzung von Organisations-IDs an Hochschulen und außeruniversitären Forschungseinrichtungen in Deutschland"

description: *English description below* Um mehr über den Status quo der Nutzung und Verbreitung von Organisations-IDs in Deutschland zu erfahren, wurde im Rahmen des DFG-geförderten Projekts ORCID DE im Zeitraum vom 13.07.2020 bis zum 04.12.2020 eine „Umfrage zum Bedarf und Nutzung von Organisations-IDs an Hochschulen und außeruniversitären Forschungseinrichtungen in Deutschland“ unter 548 wissenschaftlichen Einrichtungen in Deutschland durchgeführt. An der bislang größten Befragung zu Organisations-IDs in Deutschland beteiligten sich 183 Einrichtungen. Bestandteil der Studie waren unter anderem Fragen zur Kenntnis, Verbreitung und Nutzung von Organisations-IDs an wissenschaftlichen Einrichtungen. Darüber hinaus wurden Anforderungen an Organisations-IDs bzw. ihre Metadaten (z. B. Relationen und Granularität) erfragt. Die vorliegende quantitative Befragung wurde als Online-Umfrage durchgeführt. Technisch wurde die Befragung mit der Software LimeSurvey auf einem Server der Universität Bielefeld umgesetzt. Die vorliegende CSV-Datei enthält die aus Lime-Survey exportierten, prozessierten und anonymisierten Antworten der 183 teilnehmenden Einrichtungen auf die 22 gestellten Fragen. Der Fragebogen wurde besseren Nachvollziehbarkeit der Dokumentation sowie zur Reproduzierbarkeit ebenfalls als PDF-Datei bereitgestellt. Sowohl die Forschungsdaten als auch der Fragebogen sind auf Deutsch. In order to learn more about the status quo of the use and dissemination of organizational identifiers in Germany, a "Survey on the Need for and Use of Organizational Identifiers at Universities and Non-University Research Institutions in Germany" was conducted among 548 research institutions in Germany in the period from July 13, 2020 to December 4, 2020 as part of the DFG-funded ORCID DE project. This survey constitutes the largest survey on organizational identifiers in Germany to date; it counts 183 participating institutions. Among other things, the survey included questions on the knowledge, distribution, and use of organizational identifiers at research institutions. Technically, the survey was implemented with the software LimeSurvey on a server at Bielefeld University. This CSV file contains the processed and anonymised answers of the 183 participating institutions to the 22 questions exported from LimeSurvey. The questionnaire was also made available as a PDF file for better traceability of the documentation and for reproducibility. Both the research data and the questionnaire are in German.
DOI: 10.5281/zenodo.7345474
title: Arctic records from some of the University of Oslo's Natural History Museum collections

description: All Arctic specimens in the University of Oslo: Natural History Museum's Fungarium, Lichen herbarium and Vascular Plant herbarium as of August 2022. See Bjorå et al. 2023 "Collections of Arctic plants, lichens and fungi in the Natural History Museum, University of Oslo, Norway" for further details.
DOI: 10.5281/zenodo.7345473
title: Arctic records from some of the University of Oslo's Natural History Museum collections

description: All Arctic specimens in the University of Oslo: Natural History Museum's Fungarium, Lichen herbarium and Vascular Plant herbarium as of August 2022. See Bjorå et al. 2023 "Collections of Arctic plants, lichens and fungi in the Natural History Museum, University of Oslo, Norway" for further details.
DOI: 10.6084/m9.figshare.21601923.v1
title: Radiative Anti-Parity-Time Plasmonics_Datasets

description: This file contains the datasets presented in the paper titled "Radiative Anti-Parity-Time Plasmonics".
DOI: 10.25921/anc2-2397
title: ES60 Water Column Sonar Data Collected During EBS18VA
DOI: 10.25326/389
title: LIAISE_UNIFIED-EC_WUR_10min_L1

description: This has the processed eddy-covariance fluxes using the  LIAISE unified eddy-covariance processing protocol discussed in a January 2022 Working Group 1 meeting. 

Fluxes were calculated with EddyPro (version 7). Fluxes were calculated using both 10 and 30-minute
averaging times. The missing data threshold was 10% per period. 

The flux settings selected: 

-> Rotation method: planar fit (Wilczak et al, 2001) rotation method

-> Detrend method: linear detrending 

-> Time lag detection method: covariance maximation 

-> WPL density correction (Webb et al, 1980)

-> Spike detection: Vickers & Mahrt, 1997

-> Spectral correction and QA/QC

-> Low pass filter: Massmann (2000, 2001) - Fully analytic

For full flux calculation settings, refer to the EddyPro Project files for each station.

Stations: 

1. Boldu Maize
2. Els Plans Fallow
3.  IRTA Apple Orchard
4. IRTA Corn
5. IRTA Grass
6. Lake Ivars
7. La Cendrosa Alfalfa (CNRM & WUR)
8. Preixana Almond
9. Verdu Vineyard

 Status (Level 1): 
* Lake Ivars - not included
* Els Plans Fallow - not done in unified version - data in flux maps provided by UKMO
* IRTA apple - not done in unified version - data in flux maps provided by UIB
* Other stations - unified fluxes calculated and included in flux maps
DOI: 10.23729/b2951ba1-f822-4dd0-8b81-ef79226ccb34
title: Kierroksia biopeittoon biocarbons preview

description: Different types of biocarbons (biohiili, BH), imaged at different size scales (laatikko = box, purkki = jar, smaller than box, HR = High Resolution). BH1 is spruce biocarbon, BH2 is sludge and wood chips, BH3 is demolition tree in two different grain sizes. Collective project preview entry: https://doi.org/10.23729/c6c8168e-1feb-472d-969b-bb8bdadcb609 Preview of PAS dataset https://doi.org/10.23729/f749822b-be9e-45ef-b631-9a6bc855407a
DOI: 10.25405/data.ncl.21506436.v1
title: Example M1 and cerebellar spike times

description: Example M1 and cerebellar spike times from a single recording session. Data stored in seconds in a .mat file
DOI: 10.25405/data.ncl.21506436
title: Example M1 and cerebellar spike times

description: Example M1 and cerebellar spike times from a single recording session. Data stored in seconds in a .mat file
DOI: 10.5281/zenodo.7346990
title: Datasets of Chatterjee et al., ACS Appl. Electron. Mater. 4, 5317 (2022), "Impact of polymer-assisted epitaxial graphene growth on various types of SiC substrates"

description: Compilation of the datasets used to generate the figures in the following journal publication: "Impact of polymer-assisted epitaxial graphene growth on various types of SiC substrates" by Atasi Chatterjee, Mattias Kruskopf, Stefan Wundrack, Peter Hinze, Klaus Pierz, Rainer Stosch, and Hansjoerg Scherer, ACS Appl. Electron. Mater. 4, 5317 (2022), DOI: 10.1021/acsaelm.2c00989.
description: This work was supported in part by the Joint Research Project GIQS (18SIB07). This project received funding from the European Metrology programme for Innovation and Research (EMPIR) co-financed by the Participating States and from the European Unions' Horizon 2020 research and innovation programme. Funder ID: 10.13039/100014132, Grant no: 18SIB07 GIQS.
DOI: 10.5281/zenodo.7346989
title: Datasets of Chatterjee et al., ACS Appl. Electron. Mater. 4, 5317 (2022), "Impact of polymer-assisted epitaxial graphene growth on various types of SiC substrates"

description: Compilation of the datasets used to generate the figures in the following journal publication: "Impact of polymer-assisted epitaxial graphene growth on various types of SiC substrates" by Atasi Chatterjee, Mattias Kruskopf, Stefan Wundrack, Peter Hinze, Klaus Pierz, Rainer Stosch, and Hansjoerg Scherer, ACS Appl. Electron. Mater. 4, 5317 (2022), DOI: 10.1021/acsaelm.2c00989.
description: This work was supported in part by the Joint Research Project GIQS (18SIB07). This project received funding from the European Metrology programme for Innovation and Research (EMPIR) co-financed by the Participating States and from the European Unions' Horizon 2020 research and innovation programme. Funder ID: 10.13039/100014132, Grant no: 18SIB07 GIQS.
DOI: 10.5281/zenodo.7347005
title: Maker Spaces visited by the MakerTour association

description: <pre>This dataset collects information about more than 140 maker spaces, collected by members of the MakerTour association during several visits in different regions of the world. In each of these maker spaces, also known as workshops or laboratories of digital fabrication (fablabs), a standard form was completed in which numeric data (e.g. surface in square meters), categorical (e.g. type of entity) and textual (e.g. contact address) data were collected. Likewise, other details such as the business model or the template were documented in fields of free text format. Each visit is dated and represents the situation of the different spaces at the time of the visit. To preserve the privacy of the members of the workshops, personal and contact data detected have been removed, which can be consulted on the original website https://www.makertour.fr/workshops </pre>
DOI: 10.5281/zenodo.7347004
title: Maker Spaces visited by the MakerTour association

description: <pre>This dataset collects information about more than 140 maker spaces, collected by members of the MakerTour association during several visits in different regions of the world. In each of these maker spaces, also known as workshops or laboratories of digital fabrication (fablabs), a standard form was completed in which numeric data (e.g. surface in square meters), categorical (e.g. type of entity) and textual (e.g. contact address) data were collected. Likewise, other details such as the business model or the template were documented in fields of free text format. Each visit is dated and represents the situation of the different spaces at the time of the visit. To preserve the privacy of the members of the workshops, personal and contact data detected have been removed, which can be consulted on the original website https://www.makertour.fr/workshops </pre>
DOI: 10.6084/m9.figshare.21316614.v2
title: Data for ''10 dB emission suppression in a structured low index medium''

description: Text files for different gratings numbers N and refractive indices from the CST Microwave Studio simulations used to plot some of the figures in our preprint <strong>arXiv:2209.15463</strong> ,'' 10 dB emission suppression in a structured low index media''
DOI: 10.5281/zenodo.7343394
title: Concurrent tDCS with multi-modal MRI - Experiment 1

description: The provided dataset includes 20 subjects (6 female) with Arterial Transit Time (ATT), water exchange across the BBB (Kw) and cerebral blood flow (CBF) imaging before (run 1), during (run 2, run 3), and after (run 4, run 5) transcranial direct-current stimulation (tDCS). Subjects were recruited to CUNY IRB standards and provided informed consent on the publication of their data. The three sessions, (ses-1, ses-2, and ses-3), indicate whether subjects were stimulated Sham current (30 sec ramp-up and ramp-down), 2mA anodal tDCS (AF7 - Anode, AF8 - cathode) or 4mA anodal tDCS (AF7,F7 - Anode, AF8, F8 - Cathode), respectively. Pre-processed files are provided in Nifti (.nii) format with an associated T1w anatomical image. All data has been de-identified to preserve subject anonymity. Data is organized to BIDS standards for ease of processing. It is anticipated that MRI data with concurrent tDCS will benefit the field and allow others to analyze, validate tools, or compare with non-stimulated control measurements.
DOI: 10.5281/zenodo.7343395
title: Concurrent tDCS with multi-modal MRI - Experiment 1

description: The provided dataset includes 20 subjects (6 female) with Arterial Transit Time (ATT), water exchange across the BBB (Kw) and cerebral blood flow (CBF) imaging before (run 1), during (run 2, run 3), and after (run 4, run 5) transcranial direct-current stimulation (tDCS). Subjects were recruited to CUNY IRB standards and provided informed consent on the publication of their data. The three sessions, (ses-1, ses-2, and ses-3), indicate whether subjects were stimulated Sham current (30 sec ramp-up and ramp-down), 2mA anodal tDCS (AF7 - Anode, AF8 - cathode) or 4mA anodal tDCS (AF7,F7 - Anode, AF8, F8 - Cathode), respectively. Pre-processed files are provided in Nifti (.nii) format with an associated T1w anatomical image. All data has been de-identified to preserve subject anonymity. Data is organized to BIDS standards for ease of processing. It is anticipated that MRI data with concurrent tDCS will benefit the field and allow others to analyze, validate tools, or compare with non-stimulated control measurements.
DOI: 10.5281/zenodo.7347026
title: Video supplement for Ho et al. (2022: GMD)

description: Video Supplement for the publication
DOI: 10.5281/zenodo.7337631
title: Termlex Extension for Terminologies

description: Termlex is an extension of the Ontolex model that aims at covering the representation needs of terminological resources to be published as Linguistic Linked Data.
DOI: 10.5281/zenodo.7337632
title: Termlex Extension for Terminologies

description: Termlex is an extension of the Ontolex model that aims at covering the representation needs of terminological resources to be published as Linguistic Linked Data.
DOI: 10.34740/kaggle/dsv/4563777
title: Elon Musk Tweets
DOI: 10.34740/kaggle/dsv/4563774
title: YouTube Daily
DOI: 10.5281/zenodo.7333572
title: GEIE use cases

description: GEIE (Geothermal Energy Impact Estimator) is a software application for quick estimations of the environmental impacts of existing and future geothermal plants. This folder includes input and output data for 2 use cases that are presented in an accompanying journal article.
DOI: 10.5281/zenodo.7333571
title: GEIE use cases

description: GEIE (Geothermal Energy Impact Estimator) is a software application for quick estimations of the environmental impacts of existing and future geothermal plants. This folder includes input and output data for 2 use cases that are presented in an accompanying journal article.
DOI: 10.5281/zenodo.7347119
title: Diagnostic properties of the Italian ECAS Carer Interview (ECAS-CI)

description: Dataset associated with the paper: "Diagnostic properties of the Italian ECAS Carer Interview (ECAS-CI)"
DOI: 10.5281/zenodo.7347118
title: Diagnostic properties of the Italian ECAS Carer Interview (ECAS-CI)

description: Dataset associated with the paper: "Diagnostic properties of the Italian ECAS Carer Interview (ECAS-CI)"
DOI: 10.23728/b2share.fe70b138419243c0817425a0d2d5ae32
title: Energy System Indicators

description: Description and sources of indicators for energy system analysis
DOI: 10.5281/zenodo.7347183
title: Survey of aesthetic quality of landscapes in Spain

description: Survey carried out in Spain with 412 people for a research study for the evaluation of landscapes for an AI tool.
DOI: 10.5281/zenodo.7347182
title: Survey of aesthetic quality of landscapes in Spain

description: Survey carried out in Spain with 412 people for a research study for the evaluation of landscapes for an AI tool.