Johns Hopkins Research Data Repository
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Data associated with the publication: Using neural networks to uncover the relationship between highly variable behavior and EEG during a working memory task with distractors.
No full textThe dataset contains all the data used in the paper “Using Neural Networks to Uncover the Relationship between Highly Variable Behavior and EEG during a Working Memory Task with Distractors”. Specifically, it includes, for 16 participants, the time-locked raw EEG data for the 540 trials and the corresponding raw reaction time
Data associated with the publication: Standardized excitable elements for scalable engineering of far-from-equilibrium chemical networks
No full textGraphs and tabular data of the fluorescence intensity documented to represent the behaviors of the biochemical networks
Data associated with the publication: The behavior of carboxylated and hydroxylated polythiophene as bioreceptor layer: anti-human IgG and human IgG interaction detection based on organic electrochemical transistors
No full textThe data consists of graphs and spreadsheets showing the device responses for different combinations of receptor polymers with anti-IGG receptor in electrochemical transistors. The data are organized according to the manuscript figures that they support. The files are the sources of data used to construct the plots that report the observations and trends in the manuscript
Data associated with: Study to Understand Fall Reduction and Vitamin D in You (STURDY) randomized clinical trial
No full textThis is the limited access database for the Study to Understand Fall Reduction and Vitamin D in You (STURDY) randomized response-adaptive clinical trial. The database includes baseline, treatment and post randomization data. This Database includes a set of files pertaining to the full study population (688 randomized participants plus screenees who were not randomized) and a set of files pertaining to the burn-in cohort (the 406 participants randomized prior to the first adjustment of the randomization probabilities). The Database also includes files that support the analyses included in the primary outcome paper published by the Annals of Internal Medicine (2021;174:(2):145-156). Each data file in the Database corresponds to a specific data collection form or type of data. This documentation notebook includes a SAS PROC CONTENTS listing for each SAS file and a copy of the relevant form if applicable. Each variable on each SAS data file has an associated SAS label. Several STURDY documents, including the final versions of the screening and trial consent statements, the Protocol, and the Manual of Procedures, are included with this documentation notebook to assist with understanding and navigation of STURDY data. Notes on analysis questions and issues are also included, as is a list of STURDY publications
Data associated with the publication: Towards effective drought monitoring in the Middle East and North Africa (MENA) region: Implications from assimilating leaf area index and soil moisture into the Noah-MP land surface model for Morocco
No full textThe datasets include monthly output of simulations performed with the Noah-Multiparameterization Land Surface Model v4.0.1 within NASA Land Information System. The simulations are conducted for different periods within 2003-2019 at 0.05° spatial resolution forced by the GDAS and IMERG meteorological forcing fields. Data is provided in NETCDF format including irrigation fraction and land cover type data, simulation output for monthly leaf area index, root zone soil moisture, evaporation, transpiration, evapotranspiration, net primary product, and gross primary product
Data associated with the publication: Using pre-formed Meisenheimer complexes as dopants for n-type organic thermoelectrics with high Seebeck coefficients and power factors
No full textThe data consists of graphs and spreadsheets showing the spectroscopic, physical, and electronic characterizations of different polymers and dopant structures and concentrations, including dopants present as pre-formed Meisenheimer complexes. The highest level of folders is labelled according to the type of device used. Then, subfolders are associated with different compositions or experimental conditions. The files are the sources of data used to construct the plots that report the observations and trends in the manuscript
Data associated with the publication: The role of attention and memory in value computation during complex choice
No full textThis dataset holds empirical data collected while humans performed multi-attribute decision making tasks of multiple levels of complexity. It includes stimuli and behavioral responses as well as measurements of the deciders’ overt attentional state (eye movements). Additionally, we implemented a battery of computational models from a large variety of model families, and we compare how well each of them predicts the deciders’ choices. Python code for the model implementations and Matlab code for visualization is included, as well as optimized (fitted) parameters for all models and all deciders
Historical Archives of Goa Medical Licensing Database, 1596-1748
No full textThe Historical Archives of Goa Medical Licensing Database, 1596-1748 is a database of medical licensing records issued in Goa, the capital of the Portuguese Estado da Índia during the first several centuries of colonial rule. The database comprises 1,141 unique medical licensing documents containing mentions of 1,239 medical practitioners. All archival documents cited in the database come from records held in the Historical Archives of Goa (HAG), the state archive of Goa based in Panaji. The archive, which was founded in 1595 under Viceroy Matias de Albuquerque (1547-1609) and the first appointed archivist and chronicler, Diogo de Couto (1542/43-1616), contains an invaluable collection of municipal records from the Senado de Goa or Goan Municipal Council, including thousands of medical licensing records. The database described here contains only records from the first 150 years of extant medical licensing records, leaving space for future researchers to expand and improve the database to include later records
Data associated with the publication: Dynamic Cognitive States Explain Individual Variability in Behavior and Modulate with EEG Functional Connectivity during Working Memory
No full textFluctuations in strategy, attention, or motivation can cause large variability in performance across task trials. Typically, this variability is treated as noise, and assumed to cancel out, leaving supposedly stable relationships among behavior, neural activity, and experimental task conditions. Those relationships, however, could change with a participant’s internal cognitive states, and variability in performance may carry important information regarding those states, which cannot be directly measured. Therefore, we used a mathematical, state-space modeling framework to fit internal cognitive states to measured behavioral data, quantifying each participant’s sensitivity to factors such as past errors or distractions, to characterize their underlying fluctuations in reaction time. We show how integrating the states into the modeling framework could help explain trial-by-trial variability in behavior. Further, we identify EEG functional connectivity features that modulate with each state. These results illustrate the potential of this approach and how it could enable the quantification of intra- and inter-individual differences and provide insight into their neural bases.
The data and codes contained within this collection can be used to generate the models developed in the paper
Data, code and supplementary figures associated with the publication: Control becomes habitual early on when learning a novel motor skill
No full textThis collection contains raw data and analysis code to reproduce the main figures in the above publication. This collection also contains supplementary figures associated with the publication. We examined how participants’ behavior became habitual as they learned a new continuous motor skill. Participants learned to control a cursor using a bimanual mapping by performing a combination of point-to-point reaches and continuous tracking. The data were collected in the BLAM Lab at Johns Hopkins University. A README.md file is included in every .zip file with instructions on how to run the analyses. Each .zip file can be run independently of the others