cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4244273.v2
title: S-Interface (Previously OTACS)

description: S-Interface (Previously OTACS) is a software we offer that takes advantage of our algorithms to measure various physiological variables using thermal imaging. Some of these are perinasal perspiration measurement and breathing rate measurement.<br>The perinasal signal measurement has allowed measurement of sympathetic arousal in situations that never before were possible, especially as it can be measured completely unobtrusively. It is an alternative for electrodermal activity on the finger tips, which is an indication of physiological or psychological arousal. The measurement has been validated in a study and has been used in a number of applications such as measuring stress in critical dexterous situations as well as in lie detection experiments.<br>With thermal imagery of the nostrils, there is no longer a need to insert thermister probes in subject's nostrils which are uncomfortable and subjected to noise due to motion of the probe. The breathing measurement algorithm which we provide measures the breathing waveform similar to that aquired using a temperature probe.<br>Both of the above features take support of our robust tracker.
DOI: 10.6084/m9.figshare.4244264
title: device_adverse_events_Stern_Nov2016.dta

description: Stata data set to accompany the manuscript "Regulatory review times and adverse-event reports for cardiovascular devices" (Nature Biomedical Engineering)
DOI: 10.6084/m9.figshare.4244264.v1
title: device_adverse_events_Stern_Nov2016.dta

description: Stata data set to accompany the manuscript "Regulatory review times and adverse-event reports for cardiovascular devices" (Nature Biomedical Engineering)
DOI: 10.6084/m9.figshare.4244258
title: Appendix B large tables

description: This excel workbook contains tables B7, B8, B9, B10, B15, B17, B18, B19, B20, B21, B22, B23 and B24. These were too large to fit in my thesis document and so are provided here instead. <br>
DOI: 10.6084/m9.figshare.4244258.v1
title: Appendix B large tables

description: This excel workbook contains tables B7, B8, B9, B10, B15, B17, B18, B19, B20, B21, B22, B23 and B24. These were too large to fit in my thesis document and so are provided here instead. <br>
DOI: 10.6084/m9.figshare.4244255
title: Appendix A large tables

description: This excel workbook contains tables A5, A6, A8, A11, A12, A13 and A16 from Appendix A of my PhD dissertation. These were too large to fit in my thesis document and so are provided here instead. <br>
DOI: 10.6084/m9.figshare.4244252
title: Genotype data of the Idrijca trout populations

description: Genotypes for the marble trout populations of Lower Idrijca and Upper Idrijca and the rainbow trout population of Lower Idrijca.An impassable waterfall separates the stream in two sectors: a downstream sector (Lower) in which marble trout live in sympatry with rainbow trout and a upstream sector (Upper) in which marble trout live in allopatry. SAMPLE_ID fish ID, corresponds to Mark in the tag-recapture dataset; SEX = sex of fish - ? and NA mean not available/uncertain; YOB = year of birth of fish. Additional columns are the bi-allelic SNPs (0 means not genotyped).
DOI: 10.6084/m9.figshare.4244249
title: Tag-recapture datasets for the Idrjica trout populations

description: Tag-recapture datasets for the marble trout populations of Lower Idrijca and Upper Idrijca and the rainbow trout population of Lower Idrijca.An impassable waterfall separates the stream in two sectors: a downstream sector (Lower) in which marble trout live in sympatry with rainbow trout and a upstream sector in which marble trout live in allopatry (Upper). Population, Stream, Species self-explanatory; Mark = fish ID; Year = year of sampling; Month = month of sampling; Run = first pass (1) or second pass (2); Sector = stream section in which the fish was sampled; Length = total length of fish (mm); Weight = weight of the fish (g); Age = age of fish - fish emerge in May/June, they are 0+ up to first winter, then 1+ and so on; Cohort: year of birth (format Cyy); yob: year of birth; Tag_loss: 1 if the fish lost the tag; Adc: 1 if adipose fin was cut - only for fish with no tag when sampled; Adip = additional tag associated with a piece of the adipose cut
DOI: 10.6084/m9.figshare.4244249.v2
title: Tag-recapture datasets for the Idrjica trout populations

description: Tag-recapture datasets for the marble trout populations of Lower Idrijca and Upper Idrijca and the rainbow trout population of Lower Idrijca.An impassable waterfall separates the stream in two sectors: a downstream sector (Lower) in which marble trout live in sympatry with rainbow trout and a upstream sector in which marble trout live in allopatry (Upper). Population, Stream, Species self-explanatory; Mark = fish ID; Year = year of sampling; Month = month of sampling; Run = first pass (1) or second pass (2); Sector = stream section in which the fish was sampled; Length = total length of fish (mm); Weight = weight of the fish (g); Age = age of fish - fish emerge in May/June, they are 0+ up to first winter, then 1+ and so on; Cohort: year of birth (format Cyy); yob: year of birth; Tag_loss: 1 if the fish lost the tag; Adc: 1 if adipose fin was cut - only for fish with no tag when sampled; Adip = additional tag associated with a piece of the adipose cut
DOI: 10.6084/m9.figshare.4244252.v2
title: Genotype data of the Idrijca trout populations

description: Genotypes for the marble trout populations of Lower Idrijca and Upper Idrijca and the rainbow trout population of Lower Idrijca.An impassable waterfall separates the stream in two sectors: a downstream sector (Lower) in which marble trout live in sympatry with rainbow trout and a upstream sector (Upper) in which marble trout live in allopatry. SAMPLE_ID fish ID, corresponds to Mark in the tag-recapture dataset; SEX = sex of fish - ? and NA mean not available/uncertain; YOB = year of birth of fish. Additional columns are the bi-allelic SNPs (0 means not genotyped).
DOI: 10.6084/m9.figshare.4244252.v1
title: Idrijca genotypes

description: Genotypes for the marble trout populations of Lower Idrijca and Upper Idrijca and the rainbow trout population of Lower Idrijca.An impassable waterfall separates the stream in two sectors: a downstream sector (Lower) in which marble trout live in sympatry with rainbow trout and a upstream sector (Upper) in which marble trout live in allopatry. SAMPLE_ID fish ID, corresponds to Mark in the tag-recapture dataset; SEX = sex of fish - ? and NA mean not available/uncertain; YOB = year of birth of fish. Additional columns are the bi-allelic SNPs (0 means not genotyped).
DOI: 10.6084/m9.figshare.4244249.v1
title: Evolution of life histories in Lower Idrijca

description: Tag-recapture datasets for the marble trout populations of Lower Idrijca and Upper Idrijca and the rainbow trout population of Lower Idrijca.An impassable waterfall separates the stream in two sectors: a downstream sector (Lower) in which marble trout live in sympatry with rainbow trout and a upstream sector in which marble trout live in allopatry (Upper). Population, Stream, Species self-explanatory; Mark = fish ID; Year = year of sampling; Month = month of sampling; Run = first pass (1) or second pass (2); Sector = stream section in which the fish was sampled; Length = total length of fish (mm); Weight = weight of the fish (g); Age = age of fish - fish emerge in May/June, they are 0+ up to first winter, then 1+ and so on; Cohort: year of birth (format Cyy); yob: year of birth; Tag_loss: 1 if the fish lost the tag; Adc: 1 if adipose fin was cut - only for fish with no tag when sampled; Adip = additional tag associated with a piece of the adipose cut
DOI: 10.6084/m9.figshare.4244207
title: Materiały - Systemy Informacji Jakościowej

description: Pliki dla studentów UJ przedmiotu Systemy Informacyjne w Zarządzaniu Jakością
DOI: 10.6084/m9.figshare.4244207.v1
title: Materiały - Systemy Informacji Jakościowej

description: Pliki dla studentów UJ przedmiotu Systemy Informacyjne w Zarządzaniu Jakością
DOI: 10.6084/m9.figshare.4244198
title: Bird footprints in snow

description: Bird footprints in snow. Train ticket 95 mm in length.<br>
DOI: 10.6084/m9.figshare.4244195
title: Dog footprints - skidding & Sliding

description: Looks like something was having fun in slippery mud!<br>Interesting sliding traces in mud.<br>
DOI: 10.6084/m9.figshare.4244198.v1
title: Bird footprints in snow

description: Bird footprints in snow. Train ticket 95 mm in length.<br>
DOI: 10.6084/m9.figshare.4244189
title: Human + Dog on cracked mud, Neston, UK

description: Deep Human and dog footprints in mud that has cracked. Mud was firm to walk on when photos were taken. Cracks appear to have formed after footprints were made.<br>
DOI: 10.6084/m9.figshare.4244192
title: Deep dog and shallow human tracks

description: Great example of how, after a period of time, depth of tracks does not relate to the weight of the trackmaker!<br>
DOI: 10.6084/m9.figshare.4244189.v1
title: Human + Dog on cracked mud, Neston, UK

description: Deep Human and dog footprints in mud that has cracked. Mud was firm to walk on when photos were taken. Cracks appear to have formed after footprints were made.<br>
DOI: 10.6084/m9.figshare.4244192.v1
title: Deep dog and shallow human tracks

description: Great example of how, after a period of time, depth of tracks does not relate to the weight of the trackmaker!<br>
DOI: 10.6084/m9.figshare.4244171
title: MDD Patients and Healthy Controls EEG Data (New)

description: 'H' stands for Healthy Controls'MDD' stands for Major Depressive Disorder 'EC' stands for eyes closed'EO' stands for eyes open'TASK' stands for P300 data
DOI: 10.6084/m9.figshare.4244147.v1
title: R data - export problem

description: R code used.
DOI: 10.6084/m9.figshare.4244147.v2
title: R data - ggplot2 problem

description: R data used.
DOI: 10.6084/m9.figshare.4244147.v3
title: R data - plotting problem

description: Data used.
DOI: 10.6084/m9.figshare.4244147.v4
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244147.v5
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244147.v6
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244147.v7
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244147.v8
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244147.v9
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244147.v10
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244147.v11
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244147.v12
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244123
title: A microbial survey of the International Space Station (ISS)

description: DNA was extracted from15 swabs from surfaces inside the International Space Station. 16S rDNA was amplified and analyzed.
DOI: 10.6084/m9.figshare.4244147.v13
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244123.v1
title: A microbial survey of the International Space Station (ISS)

description: DNA was extracted from15 swabs from surfaces inside the International Space Station. 16S rDNA was amplified and analyzed.
DOI: 10.6084/m9.figshare.4244147.v14
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244123.v3
title: A microbial survey of the International Space Station (ISS)

description: DNA was extracted from15 swabs from surfaces inside the International Space Station. 16S rDNA was amplified and analyzed.
DOI: 10.6084/m9.figshare.4244147.v15
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244123.v2
title: A microbial survey of the International Space Station (ISS)

description: DNA was extracted from15 swabs from surfaces inside the International Space Station. 16S rDNA was amplified and analyzed.
DOI: 10.6084/m9.figshare.4244147.v16
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4240442
title: AJP renal physiology: review of conventional acid-base model

description: Data files to accompany the review paper in Am J Physiol Renal physiol revisiting the conventional acid-base model by Troels Ring and Søren Nielsen. Included is r script and a single file to produce figures.
DOI: 10.6084/m9.figshare.4244147.v17
title: R problem

description: Data used.
DOI: 10.21227/8ax2-9053
title: Dataset with cyber attacks in HoneySELK

description: Due to the large number of vulnerabilities in information systems and the continuous activity of attackers, techniques for malicious traffic detection are required to identify and protect against cyber-attacks. Therefore, it is important to intentionally operate a cyber environment to be invaded and compromised in order to allow security professionals to analyze the evolution of the various attacks and exploited vulnerabilities.This dataset includes 2016, 2017 and 2018 cyber attacks in the HoneySELK environment.HoneySELK was developed to control, capture, analyze and visualize new and unknown attacks in real time within the research laboratory of the Electrical Engineering Department of the University of Brasília. - Rodrigues, G.A.P.; Albuquerque, R.d.O.; de Deus, F.E.G.; de Sousa, R.T., Jr.; de Oliveira Júnior, G.A. Cybersecurity and Network Forensics: Analysis of Malicious Traffic towards a Honeynet with Deep Packet Inspection. Appl. Sci. 2017, 7, 1082 (https://www.mdpi.com/2076-3417/7/10/1082).- Oliveira Júnior, G.A.; de Sousa, R.T., Jr.; de Albuquerque, R.O.; Canedo, E.D.; Grégio, A. HoneySELK: Um Ambiente para Pesquisa e Visualização de Ataques Cibernéticos em Tempo Real. In Proceedings of the XVI Simpósio Brasileiro em Segurança da Informação e de Sistemas Computacionais, Niteroi, Rio de Janeiro, Brazil, 7–10 November 2016; pp. 697–706 (http://sbseg2016.ic.uff.br/pt/anais.php and https://repositorio.unb.br/handle/10482/22886).- Oliveira Jr, G. A., Sousa Jr, R. T. de, Tenório, D. F. (2015). Desenvolvimento de um Ambiente Honeynet Virtual para Aplicação Governamental. In: The Ninth International Conference on Forensic Computer Science. v. 1. p. 70-80 (http://www.icofcs.org/2015/papers-published-009.html).
DOI: 10.6084/m9.figshare.4240436
title: Temperature and moisture effects on greenhouse gas emissions from deep active-layer boreal soils

description: This archive contains all the critical code and data files necessary to reconstruct results of "Temperature and moisture effects on greenhouse gas emissions from deep active-layer boreal soils" by Bond-Lamberty, Smith, and Bailey. http://www.biogeosciences-discuss.net/bg-2016-234/#discussionNovember 19, 2016<br>
DOI: 10.6084/m9.figshare.4244147.v18
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244147.v19
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244147.v20
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4240397
title: Input data for modeling the phytoplasma disease bois noir on a local scale

description: The dataset is part of the article “Identifying local drivers of a vector-pathogen-disease system using Bayesian modeling”.The dataset contains all necessary input data to run R-code for the joint model for the phytoplasma disease bois noir as described in AppendixB.
DOI: 10.6084/m9.figshare.4244147.v21
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244147.v22
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244147.v25
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244147.v26
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244147.v27
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244147.v28
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4244147.v29
title: R problem

description: Data used.
DOI: 10.6084/m9.figshare.4240241.v2
title: CEDAR Overview BD2K 2016.pdf

description: Online biomedical repositories contain a wealth of freely available data submitted by the research community, but to reuse this data in further studies requires well-annotated associated metadata. There is a growing set of community-developed standards for creating this metadata, often in the form of templates; still, the difficulties of working with these standards are significant. The Center for Expanded Data Annotation and Retrieval (CEDAR) is building an end-to-end system to ease the authoring of metadata and the templates. This system targets the creation of higher quality metadata to facilitate data discovery, interoperability, and reuse. With our public release in September 2016, we now support many new features which make authoring easier.Template and Metadata Repository: We developed a standardized representation of metadata and the templates that describe them, together with Web-based services to store, search, and share these resources. Templates created using CEDAR technology are stored in our openly accessible community repository, and can now be shared with other people and groups. Researchers can search for templates to annotate their studies, and share their metadata with others. We’ve now added Web-based interfaces and REST APIs to facilitate access to templates, and all the metadata collected using those templates.Template and Metadata Editor: We developed highly interactive Web-based tools to simplify the process of authoring metadata and templates. The Template Editor allows users to create, search, and author templates. An upgraded feature provides interoperation with ontologies: interactive look-up services linked to NCBO’s BioPortal (bioportal.bioontology.org) let template authors find ontology terms to annotate fields in their templates and to define possible values of fields, including creating new terms and value sets. The Metadata Editor, which creates a forms-based acquisition interface from a template, has been redesigned so users can more easily populate metadata based on the template fields.
DOI: 10.6084/m9.figshare.4240235
title: Dataset for: The motion of a living conspecific activates septal and preoptic areas in naive domestic chicks (Gallus gallus)

description: Predispositions to attend to animate objects are ubiquitous in newborn vertebrates but little is known about their neural bases. In the present study we wanted to know if exposure to the motion of an alive, behaving conspecific will selectively activate septal, preoptic and amygdaloid areas in visually naive domestic chicks. For this purpose, newly hatched chicks were exposed to an alive conspecific, whose natural motion presents of course several features typical of animate motion to which chicks are known to be sensitive. In the control group, chicks were exposed to a rotating stuffed chick, that showed rigid non-biological motion. The two stimuli were visually matched with regards to their static features. We measured brain activity by visualizing the immediate early gene product c-Fos with a standard immunohistochemical procedure. Notably, dorsal right septum and left preoptic area showed higher activation in experimental subjects compared to the control animals. This is, to the best of our knowledge, the first demonstration of septal and preoptic areas involvement in response to the animate motion of a social partner, as opposed to rigid motion of a similarly looking stimulus. Moreover, these results indicate that previous visual experience and specific learning events are not necessary to establish the septal and preoptic areas function, which is present shortly after birth.
DOI: 10.6084/m9.figshare.4240235.v1
title: Dataset for: The motion of a living conspecific activates septal and preoptic areas in naive domestic chicks (Gallus gallus)

description: Predispositions to attend to animate objects are ubiquitous in newborn vertebrates but little is known about their neural bases. In the present study we wanted to know if exposure to the motion of an alive, behaving conspecific will selectively activate septal, preoptic and amygdaloid areas in visually naive domestic chicks. For this purpose, newly hatched chicks were exposed to an alive conspecific, whose natural motion presents of course several features typical of animate motion to which chicks are known to be sensitive. In the control group, chicks were exposed to a rotating stuffed chick, that showed rigid non-biological motion. The two stimuli were visually matched with regards to their static features. We measured brain activity by visualizing the immediate early gene product c-Fos with a standard immunohistochemical procedure. Notably, dorsal right septum and left preoptic area showed higher activation in experimental subjects compared to the control animals. This is, to the best of our knowledge, the first demonstration of septal and preoptic areas involvement in response to the animate motion of a social partner, as opposed to rigid motion of a similarly looking stimulus. Moreover, these results indicate that previous visual experience and specific learning events are not necessary to establish the septal and preoptic areas function, which is present shortly after birth.
DOI: 10.6084/m9.figshare.4240232
title: Data for Bailey, Smith et al. 2017.Soil Biology and Biochemistry, 107, 133-143.

description: Data, organized by figure/table number, used for analyses and for figures in Bailey, V. L., Smith, A. P., Tfaily, M., Fansler, S. J., & Bond-Lamberty, B. (2017). Differences in soluble organic carbon chemistry in pore waters sampled from different pore size domains. <i>Soil Biology and Biochemistry</i>, <i>107</i>, 133-143.Please note that data here is often in its original form and that statistical analyses were often performed on transformed data (transformed to meet assumptions of normality). Transformations are noted in methods and/or figure and table captions.
DOI: 10.6084/m9.figshare.4240073
title: Skyline documents for the article: A general method for targeted quantitative cross-linking mass spectrometry.

description: Skyline documents for the article: <b>A general method for targeted quantitative cross-linking mass spectrometry</b>.<br><b>Experiment Description</b>Varying amounts (50-1000 ng) of cross-linked BSA peptides were analyzed by LC-MS using a PRM method targeting 30 cross-linked peptide pairs. Cross-linked peptide pairs enriched from in vivo cross-linking of cultured human cells cultured in SILAC media and treated with varying concentrations of the Hsp90 inhibitor 17-AAG were analyzed by LC-MS using a PRM method to target at total of 12 precursor ions (light and heavy isotope versions for 6 cross-linked peptide pairs). Data was collected in the Bruce Laboratory at UW as well as at Cold Spring Harbor Laboratory (CSHL) during the 2016 Proteomics Course.<br><b>Sample Description</b>BSA was cross-linked with the protein interaction reporter cross-linker BDP-NHP. The protein was reduced, alkylated and digested with trypsin. The resulting peptide mixture was desalted with reversed phase solid phase extraction before LC-MS analysis. HeLa cells were cultured in SILAC media containing either isotopically light or heavy Lys and Arg. The cells were treated with varying concentrations of 17-AAG (100, 250, 500, 1000 nM) or a DMSO control for 18 h. The cells were harvested and mixed with a counterpart SILAC label DMSO control cell sample. The cells were then cross-linked with BDP-NHP followed by protein extraction with 8M urea. The protein was reduced, alkylated and digested with trypsin. Cross-linked peptides were enriched using a combination of strong cation exchange chromatography followed by avidin affinity chromatography before LC-MS analysis.<br><br>