cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/1khj-b685
title: Sol-gel derived lithium titanate powders measured by XPS method

description: For sol-gel synthesis lithium acetate dehydrate from Alfa Aesar GmbH &Co and titanium (IV) butoxide 97% from Aldrich were used as reagents. Copper (II) nitrate from Alfa Aesar was used as a source of Cu dopant. It was added in the proper weight to get an x index equal 0, 0.1 and 0.2. In the first step lithium acetate and copper nitrate were dissolved in ethanol using magnetic stirrer. After that titanium (IV) butoxide was added. Subsequently, prepared sol was mixed at room temperature for 10 minutes until it transformed into homogenous gel. The gel was then left for seven days in open laboratory flask at room temperature to evaporate the solvent. After that it was dried at 100oC for 20 hours in argon atmosphere. The gel was then calcined in argon atmosphere for 20 hours at 550oC. Finally, dark grey powder samples were compressed into pellets. Chemical state of the Ti was investigated by Omicron NanoTechnology X-ray photoemission spectroscopy (XPS). The photoelectrons were excited by a MgKa X-ray source operated at 15 keV and 300 W. In this dataset Ti2p specra are presented,
DOI: 10.34808/phng-1w32
title: XPS study of the lithium titanate doped by copper

description: 


Lithium titanate doped by copper was measured by X-ray photoemission spectroscopy. For sol-gel synthesis lithium acetate dehydrate from Alfa Aesar GmbH &Co and titanium (IV) butoxide 97% from Aldrich were used as reagents. Copper (II) nitrate from Alfa Aesar was used as a source of Cu dopant. It was added in the proper weight to get an x index equal 0, 0.1 and 0.2. In the first step lithium acetate and copper nitrate were dissolved in ethanol using magnetic stirrer. After that titanium (IV) butoxide was added. Subsequently, prepared sol was mixed at room temperature for 10 minutes until it transformed into homogenous gel. The gel was then left for seven days in open laboratory flask at room temperature to evaporate the solvent. After that it was dried at 100oC for 20 hours in argon atmosphere. The gel was then calcined in argon atmosphere for 20 hours at 550oC. Finally, dark grey powder samples were compressed into pellets. Chemical state of the copper was investigated by Omicron NanoTechnology X-ray photoemission spectroscopy (XPS). The photoelectrons were excited by a MgKa X-ray source operated at 15 keV and 300 W. In this dataset a high resolution Cu2p specra are presented,
DOI: 10.34808/93pr-zq76
title: Measurements of the chemical composition of LTO:Cu powders

description: 





Lithium titanate doped by copper was measured by X-ray photoemission spectroscopy (XPS). For sol-gel synthesis lithium acetate dehydrate and titanium (IV) butoxide 97% and copper (II) nitrate from Alfa Aesar were used as a reagents. Cu precursor was added in the proper weight to get an x index equal 0, 0.1 and 0.2. In the first step lithium acetate and copper nitrate were dissolved in ethanol using magnetic stirrer. After that titanium (IV) butoxide was added. Subsequently, prepared sol was mixed at room temperature for 10 minutes until it transformed into homogenous gel. The gel was then left for seven days in open laboratory flask at room temperature to evaporate the solvent. After that it was dried at 100oC for 20 hours in argon atmosphere. The gel was then calcined in argon atmosphere for 20 hours at 550oC. Finally, dark grey powder samples were compressed into pellets. Chemical composition of the saples was investigated by Omicron NanoTechnology X-ray photoemission spectroscopy (XPS). The photoelectrons were excited by a MgKa X-ray source operated at 15 keV and 300 W.
DOI: 10.34808/6k7q-w061
title: Chemical analysis of the Au-Ag nanoaloys

description: The nanostructures of AuAg nanoalloys were prepared by sequential sputtering of gold and silver thin films.  Single layer thickness was usually 2.8 nm were deosted by magnetron sputtering method in a Ar plasma. As deposited layers were annealed in Ar atmosphere at 550 degress for 15 minutes. For XPS measurements five samples were selected: pure gold and pure silver nanostructures and with composition of 25%, 50 and 75% Au.  The Omicron NanoTechnology spectrometer with a 128-channel collector was used for measurements. XPS studies were performed at room temperature under a ultra-high vacuum conditions, around 10-9 mBar. The photoelectrons were excited by an Mg-Kα X-Ray source. The X-ray anode was operated at 15 keV and 300 W. The Omicron Argus hemispherical electron analyser with a round aperture of 4 mm was used for the analysis of the emitted photoelectrons. The binding energies were corrected using the background C1s line (285.0 eV). XPS spectra were analysed with Casa-XPS software using Shirley background subtraction and Gaussian–Lorentzian curve as the fitting algorithm.
DOI: 10.5281/zenodo.5136930
title: CLDF dataset derived from Wang's "Basic Words in Chinese Dialects" from 2004

description: Cite the source of the dataset as: Wang, F. 2004. BCD: basic words of Chinese dialects. Unpublished dataset. [Digital version in: List, J.-M. (2015): Network perspectives on Chinese dialect history. Bulletin of Chinese Linguistics 8. 42-67.]
DOI: 10.5281/zenodo.5136929
title: CLDF dataset derived from Wang's "Basic Words in Chinese Dialects" from 2004

description: Cite the source of the dataset as: Wang, F. 2004. BCD: basic words of Chinese dialects. Unpublished dataset. [Digital version in: List, J.-M. (2015): Network perspectives on Chinese dialect history. Bulletin of Chinese Linguistics 8. 42-67.]
DOI: 10.5281/zenodo.5136935
title: Supplementary materials

description: The supplemantary materials contains the tree shapefile: measurements of trees, results, etc.
DOI: 10.5281/zenodo.4660169
title: Supplementary materials

description: The supplemantary materials contains the tree shapefile: measurements of trees, results, etc.
DOI: 10.6084/m9.figshare.14838402.v4
title: Sigmoid AHP model parameters.docx

description: Dataset of simplified model of neurons with improved spike timing accuracy for use in modeling of large neural networks.
DOI: 10.6084/m9.figshare.12130980.v103
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford, c/o Dept Zoology, University of Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.
DOI: 10.6084/m9.figshare.13751974
title: Co-occurrence of large branchiopods and killifish in African savannah ponds

description: These files contain data on two feeding trials with killifish and large branchiopod crustaceans (fairy shrimps and clam shrimps). <br>Files contain information on whether organisms were eaten, and on the size and gender (when possible to score) of both killifish predators and large branchiopod prey.
DOI: 10.6084/m9.figshare.13751974.v1
title: Co-occurrence of large branchiopods and killifish in African savannah ponds

description: These files contain data on two feeding trials with killifish and large branchiopod crustaceans (fairy shrimps and clam shrimps). <br>Files contain information on whether organisms were eaten, and on the size and gender (when possible to score) of both killifish predators and large branchiopod prey.
DOI: 10.6084/m9.figshare.15051930
title: Data Mentah Musik Batu (Pele Vatwam) dari Ulahahan

description: Musik ini yang terbuat dari bahan dasarnya, batu. Yang berada di daerah Provinsi Maluku, tepatnya di pulau Seram, Maluku Tengah, bagian selatan, Kecamatan Telutih, Ulahahan. Pada data mentah ini, saya melampirkan transkrip tentang musik Babatu secara terperinci, dan disadur ke dalam dwibahasa: Bahasa Belanda dan bahasa Inggris.
DOI: 10.6084/m9.figshare.15051930.v1
title: Data Mentah Musik Batu (Pele Vatwam) dari Ulahahan

description: Musik ini yang terbuat dari bahan dasarnya, batu. Yang berada di daerah Provinsi Maluku, tepatnya di pulau Seram, Maluku Tengah, bagian selatan, Kecamatan Telutih, Ulahahan. Pada data mentah ini, saya melampirkan transkrip tentang musik Babatu secara terperinci, dan disadur ke dalam dwibahasa: Bahasa Belanda dan bahasa Inggris.
DOI: 10.6084/m9.figshare.14838402.v5
title: Modeling Parameters of 10 excitatory neurons

description: Dataset of simplified model of neurons with improved spike timing accuracy for use in modeling of large neural networks.
DOI: 10.5281/zenodo.5113016
title: Raw data for the manuscript "Enhanced Photonic Maxwell's Demon with Correlated Baths"

description: This folder contains the raw data and analysis coded need to reproduce all of the major results in the manuscript "Enhanced Photonic Maxwell’s Demon with Correlated Baths". The folder "demonPower" contains the data and code related to the photon number difference that the demon can generate. There are four analysis scripts, written in MATLAB, one for each type of bath used. Each script loads the data, and plots the final results in Fig. 4 of the paper. There is one data file for each reflectivity. The different columns in the data files correspond to different count rates measured with our tagger. Only the first two columns are relvant, they are the counts per second measured at detector A and B. Each line is one second worth of data. <br> The folder "g2data" contains the data and code used to characterize the thermal and split thermal sources. The two txt data files contain lists of the the channel that registered an event together with the clock cycle of the time tagger at which the event was registerd. The data are described and analyzed in the MATLAB script "thermalLightG2_withSave.m".
description: This work was supported by Austrian Science Fund (FWF): F 7113-N38 (BeyondC), FG 5-N (Research Group), P 30817-N36 (GRIPS) and P 30067\_N36 (NaMuG); {\"O}sterreichische Forschungsf{\"o}rderungsgesellschaft (QuantERA ERA-NET Cofund project HiPhoP (No.731473)); Research Platform for Testing the Quantum and Gravity Interface (TURIS), the European Commission (ErBeSta (No.800942)), Christian Doppler Forschungsgesellschaft; {\"O}sterreichische Nationalstiftung f{\"u}r Forschung, Technologie und Entwicklung; Bundesministerium f{\"u}r Digitalisierung und Wirtschaftsstandort. GLZ and PHSR acknowledge funding from the Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq (204937/2018-3 and 304123/2017-0) and National Institute of Science and Technology for Quantum Information, INCT-IQ.
DOI: 10.5281/zenodo.5113015
title: Raw data for the manuscript "Enhanced Photonic Maxwell's Demon with Correlated Baths"

description: This folder contains the raw data and analysis coded need to reproduce all of the major results in the manuscript "Enhanced Photonic Maxwell’s Demon with Correlated Baths". The folder "demonPower" contains the data and code related to the photon number difference that the demon can generate. There are four analysis scripts, written in MATLAB, one for each type of bath used. Each script loads the data, and plots the final results in Fig. 4 of the paper. There is one data file for each reflectivity. The different columns in the data files correspond to different count rates measured with our tagger. Only the first two columns are relvant, they are the counts per second measured at detector A and B. Each line is one second worth of data. <br> The folder "g2data" contains the data and code used to characterize the thermal and split thermal sources. The two txt data files contain lists of the the channel that registered an event together with the clock cycle of the time tagger at which the event was registerd. The data are described and analyzed in the MATLAB script "thermalLightG2_withSave.m".
description: This work was supported by Austrian Science Fund (FWF): F 7113-N38 (BeyondC), FG 5-N (Research Group), P 30817-N36 (GRIPS) and P 30067\_N36 (NaMuG); {\"O}sterreichische Forschungsf{\"o}rderungsgesellschaft (QuantERA ERA-NET Cofund project HiPhoP (No.731473)); Research Platform for Testing the Quantum and Gravity Interface (TURIS), the European Commission (ErBeSta (No.800942)), Christian Doppler Forschungsgesellschaft; {\"O}sterreichische Nationalstiftung f{\"u}r Forschung, Technologie und Entwicklung; Bundesministerium f{\"u}r Digitalisierung und Wirtschaftsstandort. GLZ and PHSR acknowledge funding from the Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq (204937/2018-3 and 304123/2017-0) and National Institute of Science and Technology for Quantum Information, INCT-IQ.
DOI: 10.5281/zenodo.5136962
title: KIR3DL1 allotype binding to HLA by Luminex (W632 nomalised values).

description: HLA-I recognition by KIR3DL1 allotypes was assessed through binding of KIR3DL1 tetramers to beads coated with a panel of 100 different HLA-A, -B, and -C molecules (LABScreen HLA Class I Single Antigen; One Lambda). PE-conjugated KIR3DL1 tetramer (5 µg per test) was incubated with beads for 30 min at room temperature in the dark in 300 mM of phosphate-buffered NaCl (PBS-300) with 5% fetal calf serum (AusGeneX). The beads were then washed three times in PBS-300 with 0.05% Tween 20 and resuspended in PBS-300. Binding was measured on a Luminex platform (LABScan 100; One Lambda) through identification of the individual HLA allotypes via unique bead labeling and detection of tetramer fluorescence intensity on each bead set. Normalized fluorescence values for analysis were obtained using the HLA Fusion software suite (One Lambda) that subtracted background values using the following formula: (<em>S</em>#<em>N</em> − <em>S</em><em>N</em><em>C</em> <em>b</em><em>e</em><em>a</em><em>d</em>) − (<em>B</em><em>G</em>#<em>N</em> − <em>B</em><em>G</em><em>N</em><em>C</em> <em>b</em><em>e</em><em>a</em><em>d</em>), where <em>S</em>#<em>N</em> is the sample-specific fluorescence value (trimmed mean) for bead #<em>N</em>, <em>SNC bead</em> is the sample-specific fluorescence value for the negative control (nude) bead, <em>BG</em>#<em>N</em> is the background negative control fluorescence value for bead #<em>N</em>, and <em>BGNC bead</em> is the background negative control fluorescence value for negative control bead. To obtain binding values for each HLA-I, mean fluorescence intensity (MFI) values for an isotype control (a PE-conjugated IgG) were subtracted from the raw values obtained for each experiment, and recognition was assessed as being higher than that of the tetramer to beads without conjugated HLA-I. MFI values were normalized to the highest value for each experiment and also provided averaged over three experiments.
DOI: 10.5281/zenodo.5136961
title: KIR3DL1 allotype binding to HLA by Luminex (W632 nomalised values).

description: HLA-I recognition by KIR3DL1 allotypes was assessed through binding of KIR3DL1 tetramers to beads coated with a panel of 100 different HLA-A, -B, and -C molecules (LABScreen HLA Class I Single Antigen; One Lambda). PE-conjugated KIR3DL1 tetramer (5 µg per test) was incubated with beads for 30 min at room temperature in the dark in 300 mM of phosphate-buffered NaCl (PBS-300) with 5% fetal calf serum (AusGeneX). The beads were then washed three times in PBS-300 with 0.05% Tween 20 and resuspended in PBS-300. Binding was measured on a Luminex platform (LABScan 100; One Lambda) through identification of the individual HLA allotypes via unique bead labeling and detection of tetramer fluorescence intensity on each bead set. Normalized fluorescence values for analysis were obtained using the HLA Fusion software suite (One Lambda) that subtracted background values using the following formula: (<em>S</em>#<em>N</em> − <em>S</em><em>N</em><em>C</em> <em>b</em><em>e</em><em>a</em><em>d</em>) − (<em>B</em><em>G</em>#<em>N</em> − <em>B</em><em>G</em><em>N</em><em>C</em> <em>b</em><em>e</em><em>a</em><em>d</em>), where <em>S</em>#<em>N</em> is the sample-specific fluorescence value (trimmed mean) for bead #<em>N</em>, <em>SNC bead</em> is the sample-specific fluorescence value for the negative control (nude) bead, <em>BG</em>#<em>N</em> is the background negative control fluorescence value for bead #<em>N</em>, and <em>BGNC bead</em> is the background negative control fluorescence value for negative control bead. To obtain binding values for each HLA-I, mean fluorescence intensity (MFI) values for an isotype control (a PE-conjugated IgG) were subtracted from the raw values obtained for each experiment, and recognition was assessed as being higher than that of the tetramer to beads without conjugated HLA-I. MFI values were normalized to the highest value for each experiment and also provided averaged over three experiments.
DOI: 10.3886/e143843v1-92640
title: Impacts of COVID-19 on People with Disabilities

description: When it comes to planning, meeting accommodation needs, and accessibility issues, people with disabilities are at a disproportionately high risk during times of crisis compared to those without. Additionally, many people with disabilities are immunocompromised and are at a greatest risk of serious complications and death due to infection from COVID-19. This survey was launched in April of 2020 to look further into how people with disabilities have been experiencing the COVID-19 pandemic, how their daily lives have been impacted, and how and where they were accessing information on best practices and early recommendations by various information sources. We were particularly interested in learning about differences among people with disabilities in both urban and rural areas in the United States. To collect this information, we launched a survey on Amazon MTurk, which is a common platform for recruiting participants in hard-to-reach populations within social science and human subjects research. After a brief set of screener questions asking about age, disability status, and checking for bots, the survey questions asked about participants’ health, daily activities, community participation, trust in information sources, pandemic response behaviors, and how those things have been impacted by changes during the COVID-19 pandemic. The results were analyzed using statistical software and used to produce research briefs, factsheets, and peer-reviewed journal articles, and may be incorporated into future presentations, national conferences, and additional publications.
description: Presence of Common Scales: WGSS 4-point Likert-type scale, HRQoL-4, 5-point Likert-type scale
description: Workers of Amazon Mechanical Turk (MTurk) that were screened for disability status
description: US residents aged 18+ Amazon Mechanical Turk (MTurk) workers. Smallest Geographic Unit: United States
description: web-based survey;
DOI: 10.6084/m9.figshare.11663487
title: Prediction of Communication Effectiveness During Media Skills Training Using Commercial Automatic Non-verbal Recognition Systems

description: It is well recognised that social signals play an important role in communication effectiveness. Observation of videos to understand non-verbal behaviour is timeconsuming and limits the potential to incorporate detailed and accurate feedback of this behaviour in practical applications such as communication skills training or performance evaluation. The aim of the current research is twofold: (1) to investigate whether off-the-shelf emotion recognition technology can detect social signals in media interviews and (2) to identify which combinations of social signals are most promising for evaluating trainees’ performance in a media interview. To investigate this, nonverbal signals were automatically recognised from practice on-camera media interviews conducted within a media training setting with a sample size of 34. Automated nonverbal signal detection consists of multimodal features including facial expression, hand gestures, vocal behaviour and ‘honest’ signals. The on-camera interviews were categorised into effective and poor communication exemplars based on communication skills ratings provided by trainers and neutral observers which served as a ground truth. A correlation-based feature selection method was used to select signals associated with performance. To assess the accuracy of the selected features, a number of machine learning classification techniques were used. Naive Bayes analysis produced the best results with an F-measure of 0.76 and prediction accuracy of 78%. Results revealed that a combination of body movements, hand movements and facial expression are relevant for establishing communication effectiveness in the context of media interviews. The results of the current study have implications for the automatic evaluation of media interviews with a number of potential application areas including enhancing communication training including current media skills training
DOI: 10.14457/cu.the.2008.2121
title: การศึกษาการใช้การบำบัดทางความคิดและพฤติกรรมต่อความวิตกกังวลในผู้ป่วยโรควิตกกังวลโรงพยาบาลพยาบาลสถานพระบารมี จังหวัดกาญจนบุรี
DOI: 10.14457/cu.the.2008.2122
title: การศึกษาการให้สุขภาพจิตศึกษาครอบครัว ต่อความสามารถในการดำเนินชีวิตประจำวันของผู้ป่วยจิตเภทในชุมชน โรงพยาบาลสวนผึ้ง จังหวัดราชบุรี
DOI: 10.14457/cu.the.2008.2123
title: การศึกษาการใช้โปรแกรมการให้คำปรึกษาครอบครัวต่อการปรับตัวของผู้ป่วยจิตเภท อำเภออัมพวา จังหวัดสมุทรสงคราม
DOI: 10.14457/cu.the.2008.2124
title: การศึกษาการพยาบาลที่เน้นการใช้ความทรงจำต่ออาการซึมเศร้าในผู้ป่วยสูงอายุโรคซึมเศร้า อำเภอบ่อทอง จังหวัดชลบุรี
DOI: 10.14457/cu.the.2008.2125
title: การศึกษาการใช้โปรแกรมสนับสนุนและให้ความรู้ที่บ้านต่อพฤติกรรมการดูแลตนเองของผู้ป่วยจิตเภทในชุมชน อำเภอบางพลี จังหวัดสมุทรปราการ
DOI: 10.5281/zenodo.5128250
title: CMT Energy Transition Dataset 2 (Scarborough Field)

description: Creative Commons Attribution 4.0 International License, attribution: "Geoscience Australia". Dataset available as a Petrel project: Northwest Shelf, Australia (containing Scarborough Field), acknowledgements: Chris Jackson (Imperial), source: Geoscience Australia.