Filter Results
9832571 results
This data repository holds the raw data traces of the bouton responses presented in Bilz et al "Visualization of a distributed synaptic memory code in the Drosophila brain". We analyzed synaptic boutons of Kenyon cells of the Drosophila mushroom body γ-lobe, two to five by expressing a fluorescent Ca2+ sensor in single Kenyon cells so that axonal boutons could be assigned to distinct cells. Single files in this data set represent single cells in the described experiments. The data set consists of all cells included in the publication and is devided into a raw dataset presented here as xlsx files and an analysed data set as MatLab files. The Matlab scripts used to analyse the data can be found here: https://github.com/zerotonin/KCC_KenyonCellCorrelator . Data organization of the xlsx files =========================== Each file contains the responses of one cell. The data inside the file is split onto two sheets: Sheet 1 contains pre learning phase data, Sheet 2 contains post learning data. The data on each sheet is saved as a two mxn dimensional matrix, where m represents the number of acquired frames and n the number of identified boutons on the cell. The first row of the sheet contains stimulus inforation. All xlsx files can be found in xlsxData.zip Data organization of the MatLab files ============================== The data organization of the Matlab files is described in "Steps to reproduce" .
Data Types:
  • Dataset
  • File Set
Data for "Quantifying the Human Health Benefits of Using Satellite Information to Detect Cyanobacterial Harmful Algal Blooms and Manage Recreational Advisories in U.S. Lakes" by Signe Stroming, Molly Robertson, Bethany Mabee, Yusuke Kuwayama, and Blake Schaeffer.
Data Types:
  • Tabular Data
  • Dataset
  • Document
This data includes tests instances and results of the BAP with routing coustraints. These instances were generated based on a sample of data obtained from OCP group.
Data Types:
  • Tabular Data
  • Dataset
Individual measurements for each pressure ridge, and block size distributions across all lava flows.
Data Types:
  • Dataset
  • Document
Raw data for this paper
Data Types:
  • Tabular Data
  • Dataset
Aim of the study: In-house cardiac arrest is a common event associated with high morbidity and mortality. Fortunately, an optimal clinical response can improve patient outcomes. Advanced cardiac life support (ACLS) guidelines represent evidence-based management of in-hospital cardiac arrest, but numerous studies show that compliance is suboptimal. We developed an electronic decision support tool and investigated whether the use of the tool improves adherence to ACLS guidelines. Methods: A prospective randomised trial was conducted at Vanderbilt University Medical Center. Unannounced in-situ simulations of in-hospital cardiac arrest were performed in intensive care unit settings over 15 months. Code teams assembled from physicians and nurses on clinical duty at the time of simulation were randomised to either the electronic decision support tool (eDST) or a control group. Simulations were video recorded and graded for adherence to ACLS guidelines. Results: Use of the new tool resulted in an absolute 10% increase in the percentage of correct clinical actions between the control (n=16) and intervention (eDST; n=11; 73% vs 83%; p=0.001). Use of the tool also resulted in a reduction in median number of errors committed per simulation (2 vs 1, p<0.001). Conclusion: In this study, an electronic decision support tool improved team performance as measured by increased adherence to ACLS guidelines and a reduction in errors. Future research should investigate optimal implementation of the eDST into routine clinical practice and observed impact on both process and outcome metrics.
Data Types:
  • Tabular Data
  • Dataset
  • Document
This Dataset Contains augmented X-ray Images for COVID-19 for COVID-19 Disease Detection Using Chest X-Ray images. The dataset is collected from two online available datasets (https://github.com/ieee8023/covid-chestxray-dataset and https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia). The dataset contains two folders one for COVID-19 Augmented images while Non-COVID-19 is not augmented and the other folder contains augmented images for both COVID-19 and Non-COVID-19.
Data Types:
  • Dataset
  • File Set
These files contained lab notes on the preparation of hot-pressed plant-based biopolymers and, raw, filtered and analyzed data on bending properties, thermal and structural analysis.
Data Types:
  • Other
  • Software/Code
  • Image
  • Tabular Data
  • Dataset
  • Text
The Indeterminate Domain (IDD) proteins are a plant specific subclass of C2H2 Zinc Finger transcription factors. Some of these transcription factors play roles in diverse aspects of plant metabolism and development; however the function of most of IDDs is unknown and its molecular evolution has not been explored. Here, Prochetto and Reinheimer reconstructed the evolution of IDDs during plant land conquest. They found that IDDs arose from the common ancestor of Streptophyta. Once in land, IDDs experienced a rapid radiation that accompanied key morphological, physiological and biochemical transitions required in plant terrestrialization. The authors present a solid phylogenetic framework of annotated IDD genes which links genetic and functional knowledge from model to non-model species.
Data Types:
  • Other
  • Sequencing Data
  • Tabular Data
  • Dataset
  • Text
The data set is a time series covering the periods from 1970 to 2018 utilized for evaluation of monetary policy shocks and current account balance in Nigeria. The methods of evaluation include a VECTOR ERROR CORRECTION MODEL APPROACH
Data Types:
  • Tabular Data
  • Dataset
2