cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5683/sp2/cchovv
title: Neurophotonics tutorial on making connectivity diagrams from Channelrhodopsin-2 stimulated data

description: This package of sample data and matlab codes will process, filter, and average raw voltage sensitive dye images, generate a comprehensive connectivity matrix and a network diagram (as seen in Lim et al., 2012, 2014). Requirements: Matlab (with Bioinformatics Toolbox and Brain Connectivity Toolbox) Inputs: sample data; Matlab functions; Mask.tif (as included in .zip file) Outputs: dF/F0(%) VSD connectivity matrix; Figure of network properties as a function of threshold levels; Network diagram To use this package: Unzip data files and ensure all Matlab functions are in the same directory as the NetworkAnalysis_VSD.m Open NetworkAnalysis_VSD.m with Matlab In NetworkAnalysis_VSD.m, enter the folder name where the data is stored (line 5) Execute code. See corresponding articles: Lim et al.(2012). In vivo Large-Scale Cortical Mapping Using Channelrhodopsin-2 Stimulation in Transgenic Mice Reveals Asymmetric and Reciprocal Relationships between Cortical Areas. Front Neural Circuits 6:11. Lim et al.(2014). Optogenetic mapping after stroke reveals network-wide scaling of functional connections and heterogeneous recovery of the peri-infarct. J Neurosci 34:16455-16466. See also: Brain connectivity toolbox: https://sites.google.com/site/bctnet/ Rubinov and Sporns (2010). Complex network measures of brain connectivity: uses and interpretations. Neuroimage 52:1059-1069. Diana Lim and Jeffrey LeDue, University of British Columbia, 2015.
DOI: 10.5683/sp2/9rfxrp
title: home cage data female mice cage 6 all text file and database information

description: home cage data female mice cage 6 all text file and database information
DOI: 10.5683/sp2/ztopum
title: Code and .mat files for automated homecage paper (figs 9 10)

description: These mat files were used to perform the brain-behavior correlation and outcome prediction analyses
DOI: 10.5683/sp2/pgp54w
title: MATLAB code from Dissing-Olesen et al, J Neurosci 2014

description: This is a copy of the MATLAB code used in https://doi.org/10.1523/JNEUROSCI.0405-14.2014 to characterize microglia morphology.
DOI: 10.5683/sp2/kpmtoh
title: Model, code and source data for "Virtual signals of head rotation induce gravity-dependent inferences of linear acceleration"

description: This dataset contains data from participants' perceptions in different orientations relative to gravity under electrical vestibular stimulation (EVS), a computational model of central vestibular processing of EVS, and code used for analysis and visualization of experimental and model simulation outcomes. Instructions: 1- Download all data files and Matlab functions and ensure they are all in the same directory 2- Open EVS_Mechanistic_Model.m, Figure_5_Code.m or Figure_6_Code.m with Matlab 3- Make sure Matlab is currently in the folder where you put the files or add that folder to the path 4- Run the code
DOI: 10.5683/sp2/ezgf9h
title: Model, code and source data for "Development of a conversion model between mechanical and electrical vestibular stimuli"

description: This dataset [.mat file] contains data from participants' reflexive eye movement under multi-sine stimulation for mechanical and electrical vestibular stimulation (EVS) and code used for analysis and visualization of data (Experiment 3 [Multi-sine]; Figure 5 only). The model used to generate the equivalent EVS stimulus for a given angular velocity and a test script demonstrating how to use the function are provided. Instructions to Generate Figure: 1- Download dataset file and Matlab function "Figure5.m". 2- Run the code "Figure5.m". 3- Select Fig5_dataset.mat when prompted. Instructions to use Mechanical to Electrical Conversion Model: 1- Download "Motion2EVS.m" and "testcode.m" 2- Make sure both files are in the same directory. 3- Run "testcode.m"
DOI: 10.5683/sp2/1wzg5c
title: Data and scripts to produce figures from "Neck muscle and head/neck kinematic responses while bracing against the steering wheel during front and rear impacts"

description: This dataset contains all of the data required to produce the figures from the manuscript Neck muscle and head/neck kinematic responses while bracing against the steering wheel during front and rear impacts. The data and scripts are to be used in the MATLAB environment. Fice_etal_Bracing_Whiplash_Data.mat contains the data which are used by the Fice_etal_Bracing_Whiplash_Plots.m script to create the plots and tables. The script contains details of the variables and subjects allowing persons with MATLAB knowledge to produce alternative plots of the data. The authors hope these data will be useful for the validation of computational human body models.
DOI: 10.5683/sp2/yd0auc
title: Data associated with ''A task-relevant experimental pain model to target motor adaptation''

description: This dataset contains data from participants' pain perception during continuous stimulation, McGill questionnaire, stimulation current necessary to induce pain of 3/10 VAS, the amplitude of vastus medialis EMG with and without stimulation, force on the right leg and pain perceptions during task-relevant painful stimulation in the aware and unaware conditions.
DOI: 10.5683/sp2/ikx9ml
title: Data and code for "Learning to stand with unexpected sensorimotor delays"

description: These files consist of data and Matlab code needed to reproduce the main result figures from Experiments 1, 2 and 3 of "Learning to stand with unexpected sensorimotor delays". Additionally, LabVIEW code is provided to produce robust Bayesian fits for perceptual data. Data and results include: standing balance behavior (sway velocity variance, percent time within balancing limits) with imposed delays, vestibular-evoked muscle responses (coherence, gain, cross-covariance) when standing with imposed delays, and perceptual thresholds to detecting unexpected standing motion when standing with imposed delays. Data are provided in spreadsheets (for viewing purposes) and also in .mat matlab files (to run with source code).
DOI: 10.5683/sp2/jywwly
title: Replication Data for: Enhancing Land-based Culture of Coho Salmon Through Genomic Technologies: An Economic Analysis

description: Replication data for: Enhancing Land-based Culture of Coho Salmon Through Genomic Technologies: An Economic Analysis
DOI: 10.5683/sp2/02lvvt
title: Guidelines for the standardized collection of predictor variables in studies for pediatric sepsis (guidelines)~Pediatric Sepsis Predictors Standardization (PS2) Working Group

description: These guidelines aim to maximize the efficiency of data-sharing collaborations in pediatric sepsis research by facilitating the standardization of data collection in predictors captured in future studies. Feedback may be submitted via a secure survey here: https://rc.bcchr.ca/redcap/surveys/?s=T849WRXYT8
DOI: 10.5683/sp2/zm8fn8
title: Tools for Data Collection to Determine Facility Readiness to Treat Sepsis~Pediatric Sepsis Data CoLab Environmental Scan

description: The purpose of this environmental scan is to support health facilities in identifying and assessing quality improvement (QI) priorities and initiatives to treat children with sepsis. Tools Description: Step 1 Environmental Scan - A health facility survey that gathers information regarding (1) the availability of resources and services in the health facility and (2) the readiness of the health facility to provide specific services to a defined minimum standard. Step 2 Technology Readiness Scan - A short survey that aims to assess a facility’s level of technological preparedness for facilitating standard triage and discharge processes. Ultimately, it determines what technology is needed in order to effectively implement quality improvement intervention. Step 3a-f Observational Scan - Assesses the quality and safety of care through observation of a health worker in suspected cases of pneumonia, diarrhea, and malaria, in order to assess adherence to standards in the patient care process. Step 4 Caretaker Satisfaction Questionnaire - Assesses the patient-caretakers’ perspective of the quality of care they/their child received while at the facility. Step 5 Health Worker Satisfaction Questionnaire - Assesses health workers’ perspectives of the quality of care provided at the facility. Environmental Scan Feedback Survey - To be completed by data collector(s) and asks questions pertaining to the Scan’s relevancy and usability. The intention of this form is to collect suggestions on what elements of the Scan to add, eliminate, or modify to inform future module updates. Written Report Of Results Feedback Survey - This survey asks questions pertaining to the presentation and value of the results report.
DOI: 10.5683/sp2/heisqj
title: Smart Triage QI

description: Smart Triage QI is a quality improvement training package tailored for Uganda and supported by the Smart Triage platform. The package, including four slides decks with speaker notes and accompanying training manual, cover the basic concepts of the Quality Improvement process and provide a framework and tools that can be used to train staff on QI.
DOI: 10.5683/sp2/zddfzl
title: 6m Observation - Pulse Oximetry (dataset) ~ Smart Discharges

description: Pulse oximetry dataset from Smart Discharges 6m observational study. May 2017 to March, 2020 (Thrasher - 6m - Phase 1)
DOI: 10.5683/sp2/ivarxn
title: 6m Observation - Clinical 1 (dataset) ~ Smart Discharges

description: Clinical outcome dataset #1 from Smart Discharges 6m observational study. May 2017 to March, 2020 (Thrasher - 6m - Phase 1).
DOI: 10.5683/sp2/vbplrm
title: Predicting mortality in children with infectious diseases (dataset)~Smart Discharge

description: De-identified data and associated data dictionary for two studies within the Smart Discharges program.
DOI: 10.5683/sp2/0qivzp
title: MalawiVitals Android App for Study Data Collection (app)~Improving the early diagnosis of neonatal sepsis in Malawi

description: This is the data collection Android app for the Improving the Early Diagnosis of Neonatal Sepsis in Malawi study. The app is used to collect vital signs data from neonates at multiple time points. Survey field values can be entered via onscreen keypad and respiratory rate (via tapping while watching breaths) and pulse oximetry (via a connected pulse oximeter) are integrated into the app.
DOI: 10.5683/sp2/qxbydx
title: Procedure policies, data collection form and model consent form (supplemental material)~Improving the Early Diagnosis of Neonatal Sepsis in Malawi

description: Supplemental material (procedure policies, data collection form and model consent form for improving the early diagnosis of neonatal sepsis in Malawi study).
DOI: 10.5683/sp2/yp7vu5
title: CapnoBase Simulation Dataset

description: The simulation dataset was produced with a computer model that simulates the behavior of the human cardio-respiratory system. Producing artificial capnography signals is useful when signals that are otherwise hard to obtain are required, or when the condition or change in state of the patient must to be precisely known.
DOI: 10.5683/sp2/b1ddkp
title: CapnoBase Respiratory Event Benchmark

description: The CapnoBase benchmark dataset contains 44 scenarios that were recorded in the same manner as the in-vivo dataset. The scenarios contain very typical capnography and spirometry signals or patient conditions that may arise during anesthesia. The benchmark dataset is used by researchers to test and compare algorithms. This dataset is a benchmark and should not be used to train or tune an algorithm as it may bias the performance results. For training use the inVivo dataset.
DOI: 10.5683/sp2/mr0ptf
title: CapnoBase 8-minute (long) Dataset

description: This data set contains currently nine longer recordings of 8 minutes. All are pediatric cases are spontaneously breathing. The cases have not been rated for respiratory events, but they contain additionally ECG and photoplethysmogram recordings.
DOI: 10.5683/sp2/sjakcb
title: CSL Pulse Oximetry Artifact Labels

description: This dataset contains the beat and artifact labels created for the comparison of beat detection algorithms for photoplethysmogram analysis as published in Karlen W, Ansermino JM, Dumont GA. "Adaptive Pulse Segmentation and Artifact Detection in Photoplethysmography for Mobile Applications". In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). San Diego; 2012. p. 3131–4. The labels are for the pox1 and pox2 recordings (125 Hz, children in a pediatric intensive care unit) of the Complex System Laboratory "CSL Pulse Oximetry (infrared) Beat Detection Benchmarks" available at http://bsp.pdx.edu/Data/ originally published in M. Aboy, J. McNames, T. Thong, D. Tsunami, M. S. Ellenby, and B. Goldstein, “An automatic beat detection algorithm for pressure signals.” IEEE Transactions on Biomedical Engineering, vol. 52, no. 10, pp. 1662–70, 2005.
DOI: 10.5683/sp2/c8mjoa
title: Salish Sea surface drifter dataset (2015-2018)

description: This dataset contains quality-controlled data from GPS-tracked expendable surface drifters in the Salish Sea, deployed over the years 2015-2018.
DOI: 10.5683/sp2/uljftb
title: Depth profiles of cadmium and silver (dissolved and particulate phases) in the Salish Sea

description: This dataset contains high-resolution depth profiles of cadmium and silver in seawater and marine particles collected from the Salish Sea, with a focus on the Strait of Georgia. Dissolved and total concentrations of cadmium and silver are also reported for treated effluent from Metro Vancouver's Iona Island Wastewater Treatment Plant, and screened effluent from two outfalls located in the Capital Regional District.
DOI: 10.5683/sp2/zqjuen
title: A catastrophic tropical drought kills hydraulically vulnerable tree species

description: AbstractDrought-related tree mortality is now a widespread phenomenon predicted to increase in magnitude with climate change. However, the patterns of which species and trees are most vulnerable to drought, and the underlying mechanisms have remained elusive, in part due to the lack of relevant data and difficulty of predicting the location of catastrophic drought years in advance. We used long‐term demographic records and extensive databases of functional traits and distribution patterns to understand the responses of 20 to 53 species to an extreme drought in a seasonally dry tropical forest in Costa Rica, which occurred during the 2015 El Niño Southern Oscillation event. Overall, species-specific mortality rates during the drought ranged from 0% to 34%, and varied little as a function of tree size. By contrast, hydraulic safety margins correlated well with probability of mortality among species, while morphological or leaf economics spectrum traits did not. This firmly suggests hydraulic traits as targets for future research.
DOI: 10.5683/sp2/scykmw
title: A study of tactical and sexual dimorphism in cognition with insights for sexual conflict

description: AbstractThe sexes may have different optima in cognitive traits due to differences in life history strategies and the expense of investing in metabolically costly brain tissue. However, given genetic correlations, each sex could be constrained from reaching its cognitive optimum due to intralocus sexual conflict. We compared learning performance of two male alternative reproductive tactics and females from known genotypes (both sire and dam) in the livebearing fish Xiphophorus multilineatus. We predicted that females’ learning performance would align with the learning performance of their sire’s genotype due to genetic correlation of cognitive traits. Using a classical conditioning assessment (associating a flashing light with a food reward), we detected mating tactic dimorphism in learning performance, with the behaviourally plastic sneaker males outperforming the behaviourally fixed courter males. Unexpectedly, females sired by the faster-learning sneaker males performed significantly worse than sneaker males. We also detected an influence of brain size on female learning performance. Previous studies have found that females invest more in offspring sired by courter males, and we therefore hypothesize that maternal effects could potentially mitigate the influence of sexual conflict on a cognitive trait.
DOI: 10.5683/sp2/du3ztq
title: Adaptation across geographic ranges is consistent with strong selection in marginal climates and legacies of range expansion

description: AbstractEvery species experiences limits to its geographic distribution. Some evolutionary models predict that populations at range edges are less well-adapted to their local environments due to drift, expansion load, or swamping gene flow from the range interior. Alternatively, populations near range edges might be uniquely adapted to marginal environments. In this study, we use a database of transplant studies that quantify performance at broad geographic scales to test how local adaptation, site quality, and population quality change from spatial and climatic range centers towards edges. We find that populations from poleward edges perform relatively poorly, both on average across sites (15% lower population quality) and when compared to other populations at home (31% relative fitness disadvantage), consistent with these populations harboring high genetic load. Populations from equatorial edges also perform poorly on average (18% lower population quality) but, in contrast, outperform foreign populations (16% relative fitness advantage), suggesting that populations from equatorial edges have adapted to unique environments. Finally, we find that populations from sites that are thermally extreme relative to the species' niche demonstrate strong local adaptation, regardless of geographic position. Our findings indicate that both nonadaptive processes and adaptive evolution contribute to variation in adaptation across species' ranges.
DOI: 10.5683/sp2/qkrwpx
title: Adaptation and latitudinal gradients in species interactions: nest predation in birds

description: AbstractAre rates of biotic interactions are stronger in the tropics? Here we investigate nest predation rates in birds, a canonical example of a strong tropical biotic interaction. Counter to expectations, daily rates of nest predation vary minimally with latitude. However, life history traits that influence nest predation have diverged between latitudes. For example, tropical species have evolved a longer average nesting period, which is associated with reduced rates of nest attendance by parents. Daily nest mortality declines with nesting period duration within regions, but tropical species have a higher intercept. Consequently, for the same nesting period length, tropical species experience higher daily nest predation rates than temperate species. The implication of this analysis is that the evolved difference between latitudes in nesting period length produces a flatter latitudinal gradient in daily nest predation than would otherwise be predicted. We propose that adaptation may frequently dampen geographic patterns in interaction rates.
DOI: 10.5683/sp2/dwelha
title: Adherence to wearing facemasks during the COVID-19 pandemic

description: AbstractThis study reports a comprehensive empirical investigation of the nature and correlates of anti-mask attitudes during the COVID-19 pandemic. Accumulating evidence underscores the importance of facemasks, as worn by the general public, in limiting the spread of infection. Accordingly, mask wearing has become increasingly mandatory in public places such as stores and on public transit. Although the public has been generally adherent to mask wearing, a small but vocal group of individuals refuse to wear masks. Anti-mask protest rallies have occurred in many places throughout the world, sometimes erupting violently. Few empirical studies have examined the relationship between anti-mask attitudes and mask non-adherence and little is known about how such attitudes relate to one another or other factors (e.g., non-adherence to social distancing, anti-vaccination attitudes). To investigate these issues, the present study surveyed 2,078 adults from the US and Canada. Consistent with other surveys, we found that most (84%) people wore masks because of COVID-19. The 16% who did not wear masks scored higher on most measures of negative attitudes towards masks. Network analyses indicated that negative attitudes about masks formed an intercorrelated network, with the central nodes in the network being (a) beliefs that masks are ineffective in preventing COVID-19, and (b) psychological reactance (PR; i.e., an aversion to being forced to wear masks). These central nodes served as links, connecting the network of anti-masks attitudes to negative attitudes toward SARSCoV2 vaccination, beliefs that the threat of COVID-19 has been exaggerated, disregard for social distancing, and political conservatism. Findings regarding PR are important because, theoretically, PR is likely to strengthen other anti-masks attitudes (e.g., beliefs that masks are ineffective) because people with strong PR react with anger and counter-arguments when their beliefs are challenged, thereby leading to a strengthening of their anti-mask beliefs. Implications for improving mask adherence are discussed.
DOI: 10.5683/sp2/vypgad
title: Aquatic biodiversity enhances multiple nutritional benefits to humans

description: AbstractHumanity depends on biodiversity for health, well-being and a stable environment. As biodiversity change accelerates, we are still discovering the full range of consequences for human health and well-being. Here, we test the hypothesis -- derived from biodiversity - ecosystem functioning theory -- that species richness and ecological functional diversity allow seafood diets to fulfill multiple nutritional requirements, a condition necessary for human health. We analyzed a newly synthesized dataset of 7245 observations of nutrient and contaminant concentrations in 801 aquatic animal taxa, and found that species with different ecological traits have distinct and complementary micronutrient profiles, but little difference in protein content. The same complementarity mechanisms that generate positive biodiversity effects on ecosystem functioning in terrestrial ecosystems also operate in seafood assemblages, allowing more diverse diets to yield increased nutritional benefits independent of total biomass consumed. Notably, nutritional metrics that capture multiple micronutrients essential for human well-being depend more strongly on biodiversity than common ecological measures of function such as productivity, typically reported for grasslands and forests. Further, we found that increasing species richness did not increase the amount of protein in seafood diets, and also increased concentrations of toxic metal contaminants in the diet. Seafood-derived micronutrients are important for human health and are a pillar of global food and nutrition security. By drawing upon biodiversity-ecosystem functioning theory, we demonstrate that ecological concepts of biodiversity can deepen our understanding of nature’s benefits to people and unite sustainability goals for biodiversity and human well-being.