cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/kkj9-dq07
title: Regulation of arousal via online neurofeedback improves human performance in a demanding sensory-motor task

description: Our state of arousal can significantly affect our ability to make optimal decisions, judgments, and actions in real-world dynamic environments. The Yerkes-Dodson law, which posits an inverse-U relationship between arousal and task performance, suggests that there is a state of arousal that is optimal for behavioral performance in a given task. Here we show that we can use on-line neurofeedback to shift an individual's arousal from the right side of the Yerkes-Dodson curve to the left toward a state of improved performance. Specifically, we use a brain computer interface (BCI) that uses information in the electroencephalogram (EEG) to generate a neurofeedback signal that dynamically adjusts an individual's arousal state when they are engaged in a boundary avoidance task (BAT). The BAT is a demanding sensory-motor task paradigm that we implement as an aerial navigation task in virtual reality (VR), and which creates cognitive conditions that escalate arousal and quickly results in task failure - e.g. missing or crashing into the boundary. We demonstrate that task performance, measured as time and distance over which the subject can navigate before failure, is significantly increased when veridical neurofeedback is provided. Simultaneous measurements of pupil dilation and heart rate variability show that the neurofeedback indeed reduces arousal. Our work is the first demonstration of a BCI system that uses on-line neurofeedback to shift arousal state and increase task performance in accordance with the Yerkes-Dodson law.
DOI: 10.5281/zenodo.2583128
title: Emergence of Klebsiella quasipneumoniae harboring blaKPC-2 in Saudi Arabia

description: Fasta and gff files for the assemblies that were obtained from the study "Emergence of <em>Klebsiella </em><em>quasipneumoniae</em> harboring blaKPC-2 in Saudi Arabia"
DOI: 10.5281/zenodo.2583135
title: Flow and drag in a seagrass bed

description: Netcdf format data files used in JGR Oceans (in review at time data is published)  "Flow and drag in a seagrass bed". All units are SI. Time given uses the Matlab convention. Files names "SeagrassDatan.nc" (n=1:4) are various time series. Files labelled "SeagrassADPDatan.mc" are ADP files. Quadrat data is given in "SeagrassQuadData.nc". In this file EA refers to Enhalus acoroides and TH refers to Thalassia hemprichii.
DOI: 10.5517/ccdc.csd.cc21djff
title: CCDC 1888874: Experimental Crystal Structure Determination

description: Related Article: Qing Zhao, Xiao-Xin An, Ling-Zhi Liu, Wen-Kui Dong|2019|Inorg.Chim.Acta|490|6|doi:10.1016/j.ica.2019.02.040
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.cc21h1j4
title: CCDC 1891295: Experimental Crystal Structure Determination

description: Related Article: Barbara Morzyk-Ociepa, Ksenia Szmigiel-Bakalarz, Markus Nentwig, Oliver Oeckler, Magdalena Malik-Gajewska, Eliza Turlej, Joanna Wietrzyk, Danuta Michalska|2019|Inorg.Chim.Acta|490|68|doi:10.1016/j.ica.2019.03.001
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: 10.25345/c5t91f
title: MassIVE MSV000083515 - GNPS CA Fractions
title: Centella fractions abaabbbbbbbbb asddddd sadkop ksdfkagojopafj sadkfopkopsdfkao
DOI: 10.5281/zenodo.2583127
title: Emergence of Klebsiella quasipneumoniae harboring blaKPC-2 in Saudi Arabia

description: Fasta and gff files for the assemblies that were obtained from the study "Emergence of <em>Klebsiella </em><em>quasipneumoniae</em> harboring blaKPC-2 in Saudi Arabia"
DOI: 10.5281/zenodo.2583137
title: What Edits Are Done on The Highly Answered Questions in Stack Overflow? An Empirical Study

description: This contains the data set and the code we take advantage of to process data and make analyzation.
DOI: 10.5281/zenodo.2583138
title: What Edits Are Done on The Highly Answered Questions in Stack Overflow? An Empirical Study

description: This contains the data set and the code we take advantage of to process data and make analyzation.
DOI: 10.21227/6z8v-dp43
title: Regulation of arousal via online neurofeedback improves human performance in a demanding sensory-motor task

description: Our state of arousal can significantly affect our ability to make optimal decisions, judgments, and actions in real-world dynamic environments. The Yerkes-Dodson law, which posits an inverse-U relationship between arousal and task performance, suggests that there is a state of arousal that is optimal for behavioral performance in a given task. Here we show that we can use on-line neurofeedback to shift an individual's arousal from the right side of the Yerkes-Dodson curve to the left toward a state of improved performance. Specifically, we use a brain computer interface (BCI) that uses information in the electroencephalogram (EEG) to generate a neurofeedback signal that dynamically adjusts an individual's arousal state when they are engaged in a boundary avoidance task (BAT). The BAT is a demanding sensory-motor task paradigm that we implement as an aerial navigation task in virtual reality (VR), and which creates cognitive conditions that escalate arousal and quickly results in task failure - e.g. missing or crashing into the boundary. We demonstrate that task performance, measured as time and distance over which the subject can navigate before failure, is significantly increased when veridical neurofeedback is provided. Simultaneous measurements of pupil dilation and heart rate variability show that the neurofeedback indeed reduces arousal. Our work is the first demonstration of a BCI system that uses on-line neurofeedback to shift arousal state and increase task performance in accordance with the Yerkes-Dodson law.
DOI: 10.21227/rn3e-bp31
title: Regulation of arousal via online neurofeedback improves human performance in a demanding sensory-motor task

description: Our state of arousal can significantly affect our ability to make optimal decisions, judgments, and actions in real-world dynamic environments. The Yerkes-Dodson law, which posits an inverse-U relationship between arousal and task performance, suggests that there is a state of arousal that is optimal for behavioral performance in a given task. Here we show that we can use on-line neurofeedback to shift an individual's arousal from the right side of the Yerkes-Dodson curve to the left toward a state of improved performance. Specifically, we use a brain computer interface (BCI) that uses information in the electroencephalogram (EEG) to generate a neurofeedback signal that dynamically adjusts an individual's arousal state when they are engaged in a boundary avoidance task (BAT). The BAT is a demanding sensory-motor task paradigm that we implement as an aerial navigation task in virtual reality (VR), and which creates cognitive conditions that escalate arousal and quickly results in task failure - e.g. missing or crashing into the boundary. We demonstrate that task performance, measured as time and distance over which the subject can navigate before failure, is significantly increased when veridical neurofeedback is provided. Simultaneous measurements of pupil dilation and heart rate variability show that the neurofeedback indeed reduces arousal. Our work is the first demonstration of a BCI system that uses on-line neurofeedback to shift arousal state and increase task performance in accordance with the Yerkes-Dodson law.
DOI: 10.5255/ukda-sn-852157
title: Corporate citizenship and lobbying dataset 1995-2016
DOI: 10.15132/10000147
title: Air Pistol Pellet Dataset

description: Projectiles from a newly purchased air pistol with 0.177 calibre pellets (unjacketed) were fired a series of pellets and were examined using an optical microscope.
DOI: 10.5255/ukda-sn-853472
title: A theoretical and experimental examination of perceived expertise and dishonesty 2017-2018
DOI: 10.5517/ccdc.csd.cc201tws
title: CCDC 1848805: Experimental Crystal Structure Determination

description: Related Article: Wei Zhou,  Dan-Dan Huang,  Ya-Pan Wu,  Jun Zhao,  Tao Wu,  Jian Zhang,  Dong-Sheng Li,  Chenghua Sun,  Pingyun Feng,  Xianhui Bu|2019|Angew.Chem.,Int.Ed.|58|4227|doi:10.1002/anie.201813634
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.cc20p6c9
title: CCDC 1867420: Experimental Crystal Structure Determination

description: Related Article: Heng Zhang, Yinghua Yu, Shenlin Huang, Xueliang Huang|2019|Adv.Synth.Catal.|361|1576|doi:10.1002/adsc.201801637
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.cc20ywxs
title: CCDC 1875776: Experimental Crystal Structure Determination

description: Related Article: Yedong Wang, Lili Tao, Jie Chen, Weimin He, Hongmei Deng, Min Shao, Hui Zhang, Weiguo Cao|2019|Asian J.Org.Chem|8|710|doi:10.1002/ajoc.201900010
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.cc21chc9
title: CCDC 1887880: Experimental Crystal Structure Determination

description: Related Article: Mladen Borovina, Ivan Kodrin, Marijana Đaković|2019|Cryst.Growth Des.|19|1985|doi:10.1021/acs.cgd.8b01930
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.cc21chdb
title: CCDC 1887881: Experimental Crystal Structure Determination

description: Related Article: Mladen Borovina, Ivan Kodrin, Marijana Đaković|2019|Cryst.Growth Des.|19|1985|doi:10.1021/acs.cgd.8b01930
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: 10.5281/zenodo.2582840
title: BioTIME

description: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. The database consists of 11 tables; one raw data table plus ten related meta data tables. For further information please see our associated data paper.

This data consists of several elements:


	BioTIMESQL_02_04_2018.sql - an SQL file for the full public version of BioTIME which can be imported into any mySQL database. 
	BioTIMEQuery_02_04_2018.csv - data file, although too large to view in Excel, this can be read into several software applications such as R or various database packages. 
	BioTIMEMetadata_02_04_2018.csv  - file containing the meta data for all studies. 
	BioTIMECitations_02_04_2018.csv - file containing the citation list for all studies. 
	BioTIMECitations_02_04_2018.xlsx - file containing the citation list for all studies (some special characters are not supported in the csv format). 
	BioTIMEInteractions_02_04_2018.Rmd - an r markdown page providing a brief overview of how to interact with the database and associated .csv files (this will not work until field paths and database connections have been added/updated).


Please note: any users of any of this material should cite the associated data paper in addition to the DOI listed here.

To cite the data paper use the following:

Dornelas M, Antão LH, Moyes F, Bates, AE, Magurran, AE, et al. BioTIME: A database of biodiversity time series for the Anthropocene. <em>Global Ecol Biogeogr.</em> 2018; 27:760 - 786. https://doi.org/10.1111/geb.12729
DOI: 10.5517/ccdc.csd.cc21chhf
title: CCDC 1887884: Experimental Crystal Structure Determination

description: Related Article: Mladen Borovina, Ivan Kodrin, Marijana Đaković|2019|Cryst.Growth Des.|19|1985|doi:10.1021/acs.cgd.8b01930
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.cc21chkh
title: CCDC 1887886: Experimental Crystal Structure Determination

description: Related Article: Mladen Borovina, Ivan Kodrin, Marijana Đaković|2019|Cryst.Growth Des.|19|1985|doi:10.1021/acs.cgd.8b01930
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.cc21chlj
title: CCDC 1887887: Experimental Crystal Structure Determination

description: Related Article: Mladen Borovina, Ivan Kodrin, Marijana Đaković|2019|Cryst.Growth Des.|19|1985|doi:10.1021/acs.cgd.8b01930
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: 10.5281/zenodo.2582630
title: LTER Sites Datasets

description: These datasets are the research, input, output, and reports derived from the research described in LTERsitesAnalysis research package. They are the results of the Solr queries and record analysis, the built collections, the analyzed data, and the reports that result from the analysis. They describe the structural completeness of the record collections with respect to the EML Best Practices for LTER Sites over the years 2005 through 2018. 

Unless the contents of the tarballs were previously licensed, dataset files are shared under a Creative Commons Non-Commercial Attribution Share-Alike 4.0 International License.
DOI: 10.5281/zenodo.2583021
title: Dataset - Nutrient Removal from Agricultural Run-off in demonstrative full scale tubular photobioreactors for microalgae growth

description: The data set attached consists of different files of the software SIGMAPLOT  where the data from the article “Nutrient Removal from Agricultural Run-off in demonstrative full scale tubular photobioreactors for microalgae growth<strong>”</strong>, published in Ecological Engineering (vol. 120, 17<sup>th</sup> July 2018, 513-521.) can be found, as well as the different equations and formulae that were used to obtain the published results.
DOI: 10.5281/zenodo.2583022
title: Dataset - Nutrient Removal from Agricultural Run-off in demonstrative full scale tubular photobioreactors for microalgae growth

description: The data set attached consists of different files of the software SIGMAPLOT  where the data from the article “Nutrient Removal from Agricultural Run-off in demonstrative full scale tubular photobioreactors for microalgae growth<strong>”</strong>, published in Ecological Engineering (vol. 120, 17<sup>th</sup> July 2018, 513-521.) can be found, as well as the different equations and formulae that were used to obtain the published results.
DOI: 10.25911/5c7c8c5c6d770
title: Databases of GM data on Indo-Pacific fish vertebrae

description: These databases include the landmark coordinates for the modern reference material and the archaeological material from Tron Bon Lei referred to in Samper Carro, et al. (2018). Landmark coordinates have been translocated and rotated to the major axis using Procrustes fit in PAST v.3.18.

 For further information in the methodology used, consult Samper Carro, S, Louys, J & O'Connor, S 2018, 'Shape does matter: A geometric morphometric approach to shape variation in Indo-Pacific fish vertebrae for habitat identification', Journal of Archaeological Science, vol. 99, pp. 124-134pp, https://doi.org/10.1016/j.jas.2018.09.010
DOI: 10.25911/5c7c8f913d080
title: 3D virtual reconstruction of Late Pleistocene human remains from Tron Bon Lei (Alor Island, Indonesia)

description: These PDFs include the virtual reconstruction of the human remains recovered in Tron Bon Lei (Alor Island, Indonesia) dated to the Late Pleistocene.

The models were built using photogrammetry techniques with Agisoft Photoscan v.1.3.5
OBJ. files are available. Contact sofia.samper@anu.edu.au for further information.
DOI: 10.15129/06ca19bc-e028-42b7-ad12-0279d57cc940
title: Data for: "Product and Process Fingerprint for Nanosecond Pulsed Laser Ablated Superhydrophobic Surface"

description: Original Excel data of Figure 4,5,7,8,10 in the paper
DOI: 10.21227/166d-2s81
title: A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost

description: The dataset is used in the paper entitled "A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost" as fuzzy rules extracted by XGboost
DOI: 10.21227/pms7-dw15
title: A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost

description: The dataset is used in the paper entitled "A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost" as fuzzy rules extracted by XGboost
DOI: 10.25919/5c7c94edca245
title: Parkes observations for project P958 semester 2018OCTS_40

description: A major breakthrough in fast radio burst (FRB) astronomy was recently made when the repeating FRB 121102 was localized to sub-arcsecond precision. The bursts were found to originate in a bright radio nebula (hypothesized to be a young supernova remnant or pulsar wind nebulae) in a distant dwarf galaxy. These dwarf galaxies are also preferential hosts to superluminous supernova and long gamma-ray bursts, and it has been therefore suggested that the source of the repeating FRB could be a young highly magnetised neutron star. While an understanding of the repeating FRB is emerging, it is still unclear what relationship it has to the rest of the population.   Over the last year searches with the Australian Square Kilometre Array Pathfinder (ASKAP) have detected 26 bursts, and over the next six month will likely detect another 12 FRBs, which  will be localized to a few arcseconds.   Here we propose to search this population for repeats.  Our comprehensive sample and a dense monitoring campaign of well localised bursts, at a fluence limit more than 60 times lower than that of their detections, will either confirm the presence of additional repeating FRBs or the uniqueness of FRB 121102 amongst the population.
DOI: 10.5281/zenodo.2582854
title: asTair dataset

description: The test dataset for asTair, which is a little tool developed for the analysis of bisulfite-free and base-resolution sequencing data generated with TET Assisted Pyridine borane Sequencing (TAPS) or other modified cytosine to thymine conversion methods (mCtoT), but it also has some tricks for bisulfite sequencing data (unmodified cytosine to thymine conversion methods, CtoT). More about the tool may be found here: https://bitbucket.org/bsblabludwig/astair/ More about the TAPS method can be found here: https://www.nature.com/articles/s41587-019-0041-2
description: Data was generated with ART v. 2.5.8 (Huang et al., 2012) for Illumina sequencing data, and then modified with asTair simulate for TAPS data.
DOI: 10.5281/zenodo.2582855
title: asTair dataset

description: The test dataset for asTair, which is a little tool developed for the analysis of bisulfite-free and base-resolution sequencing data generated with TET Assisted Pyridine borane Sequencing (TAPS) or other modified cytosine to thymine conversion methods (mCtoT), but it also has some tricks for bisulfite sequencing data (unmodified cytosine to thymine conversion methods, CtoT). More about the tool may be found here: https://bitbucket.org/bsblabludwig/astair/ More about the TAPS method can be found here: https://www.nature.com/articles/s41587-019-0041-2
description: Data was generated with ART v. 2.5.8 (Huang et al., 2012) for Illumina sequencing data, and then modified with asTair simulate for TAPS data.
DOI: 10.5281/zenodo.2583013
title: Assessment of the condition of winter crops on the basis of Planet data; season 2017/2018

description: NDVI determined on the basis of images of Planets from the dates 17.10.2017 and 13.04.2018, were used to study the assessment of wintering of crops.  Acquisition of data before and after winter rest allows to assess the condition of winter crops. Available data come from the research area of the Kujawsko-Pomorskie voivodeship.
DOI: 10.5281/zenodo.2583014
title: Assessment of the condition of winter crops on the basis of Planet data; season 2017/2018

description: NDVI determined on the basis of images of Planets from the dates 17.10.2017 and 13.04.2018, were used to study the assessment of wintering of crops.  Acquisition of data before and after winter rest allows to assess the condition of winter crops. Available data come from the research area of the Kujawsko-Pomorskie voivodeship.