Find research datasets worth reusing

opencc-by-4.0Mar 2023View details →

Anti-cytokine storm activity of fraxin and quercetin, alone and in combination, and their possible molecular mechanisms via TLR4 and PPARγ signaling pathways in LPS-induced RAW 264.7 cell line article data

Anti-cytokine storm activity of fraxin and quercetin, alone and in combination, and their possible molecular mechanisms via TLR4 and PPARγ signaling pathways in LPS-induced RAW 264.7 cell line article data

Orthogonal light-activated DNA for patterned biocomputing within synthetic cells (Source Data)

Source data for the published version of "Orthogonal light-activated DNA for patterned biocomputing within synthetic cells": Preprint (https://chemrxiv.org/engage/chemrxiv/article-details/63b55bb6ff4651ef52429534)

opencc-by-4.0Mar 2023View details →

Climate data, burned areas and active fires predited in Guinea-Savannah and Forest-savannah mosaic zones in Ghana

Climate data, burned areas and active fires predited in Guinea-Savannah zone and Forest-savannah mosaic zone in Ghana

opencc-by-4.0Mar 2023View details →

Anti-cytokine storm activity of fraxin and quercetin, alone and in combination, and their possible molecular mechanisms via TLR4 and PPARγ signaling pathways in LPS-induced RAW 264.7 cell line article data

Data and code for 'Transient knickpoint migrating modulated by fault activities on the Northeastern Tibetan Plateau margin: A case from the Yellow River '

Kindly feel free to reach out to me (<a href="mailto:lizhch@smail.nju.edu.cn">lizhch@smail.nju.edu.cn</a>) if you have any queries or encounter issues with the 'codes'.

Supporting data for 'Feedback-based active reset of a spin qubit in silicon'

Underlying data sets of paper 'Feedback-based active reset of a spin qubit in silicon'.

data for Pathogen-specific isotope tracing approach reveals metabolic activities and fluxes of intracellular Salmonella

Contains the results of the MCMC sampling (i.e. fluxes) as well as the simulated MS measurements.

opencc-zeroMay 2023View details →

dryad32/100

Data for: Divergence of alternative sugar preferences through modulation of the expression and activity of the Gal3 sensor in yeast

Optimized nutrient utilization is crucial for the progression of microorganisms in competing communities. Here we investigate how different budding yeast species and ecological isolates have established divergent preferences for two alternative sugar substrates: Glucose, which is fermented preferentially by yeast, and galactose, which is alternatively used upon induction of the relevant GAL metabolic genes. We quantified the dose-dependent induction of the GAL1 gene encoding the central galactokinase enzyme, and found that a very large diversification exists between different yeast ecotypes and species. The sensitivity of GAL1 induction correlates with the growth performance of the respective yeasts with the alternative sugar. We further define some of the mechanisms, which have established different glucose/galactose consumption strategies in representative yeast strains by modulating the activity of the Gal3 inducer. (1) Optimal galactose consumers, such as Saccharomyces uvarum, contain a hyperactive GAL3 promoter, sustaining highly sensitive GAL1 expression, which is not further improved upon repetitive galactose encounters. (2) Desensitized galactose consumers, such as S. cerevisiae Y12, contain a less sensitive Gal3 sensor, causing a shift of the galactose response towards higher sugar concentrations even in galactose experienced cells. (3) Galactose insensitive sugar consumers, such as S. cerevisiae DBVPG6044, contain an interrupted GAL3 gene, causing extremely reluctant galactose consumption, which however still is improved upon repeated galactose availability. In summary, different yeast strains and natural isolates have evolved galactose utilization strategies, which cover the whole range of possible sensitivities by modulating the expression and/or activity of the inducible galactose sensor Gal3.

opencc-by-4.0May 2023View details →

Data from: Feeding and water temperature modulate the activity of gut microbiota in greater amberjack juveniles (Seriola dumerili)

Illumina (MiSeq v3) sequencing data for gut microbiota profiling in greater amberjack (Seriola dumerili) juveniles reared at three different water temperatures and sampled along a day cycle.

opencc-by-4.0Jun 2023View details →

data for "Structure-function analysis suggests that the photoreceptor LITE-1 is a light-activated ion channel"

Data S1 for Manuscript Structure-function analysis suggests that the photoreceptor LITE-1 is a light-activated ion channel.

opencc-by-4.0Jul 2023View details →

Figure source data for 'Ultrafast activation of the double-exchange interaction in antiferromagnetic manganites'

This repository contains figure source data for 'Ultrafast activation of the double-exchange interaction in antiferromagnetic manganites'

Data and Code related to All-optical recreation of naturalistic neural activity with a multifunctional transgenic reporter mouse

Data and code related to the publication "All-optical recreation of naturalistic neural activity with a multifunctional transgenic reporter mouse" Additional code for running online analysis can be found <a href="https://zenodo.org/record/8139926">here</a>, and code for analysis of all-optical calibration and activity recreation experiments can be found <a href="http://doi.org/10.5281/zenodo.8139926">here.</a>

Predicting brain activity from word embeddings during natural language comprehension: Example Data

Example data for the "Predicting brain activity from word embeddings during natural language comprehension" tutorial.

Data associated with study on winter activity of crapemyrtle bark scale

These data files are associated with a study on the winter activity of crapemyrtle bark scale.

Multi-modal Dataset of Human Activities of Daily Living with Ambient Audio, Vibration and Environmental Data

<pre>This dataset provides over 43000 samples of 25 different human activities (e.g. walking, opening/closing a door, sitting down, vacuum cleaning). Each sample is recorded by 5 sensor devices with multiple types of sensors. The main part is audio and vibration. Further metrics were recorded at a low frequency, and are: infrared array, light color, temperature, relative humidity, atmospheric pressure, air quality measure, volatile organic compounds and CO2 equivalent. The data was recorded in supervised sessions to label each sample. The recording environment consisted of a kitchen and dining room. Flawed samples were removed and the different metrics were synchronized, but no further processing or filtering of the data was performed. </pre>

Data for "Using Convolutional Neural Network to Emulate Seasonal Tropical Cyclone Activity"

The trained 600-member ensemble convolutional neural networks (CNNs) for seasonal tropical cyclone (TC) activity to allow future studies. Please refer Fu et al. (2023; Using Convolutional Neural Network to Emulate Seasonal Tropical Cyclone Activity) for more details.

opencc-by-4.0Oct 2023View details →

Data base: case-based learning with or without Escape Room activities as an active learning approach for improving academic performance and satisfaction among university students of psychology of groups

Data base Database that collects data on gender, age, grade at the beginning of the course, grades of the activity and satisfaction with the activity. An experimental study using randomisation of team work groups was developed. Some student groups developed CBL activities in combination with Escape Room activities, and other student groups developed CBL activities alone. The latter can be considered a control group. This innovative teaching project was performed by social work students at the University of Zaragoza (Spain). This degree comprises 240 ECTS credits spread out over four years. Specifically, this experimental study was created for "Social Work with Groups" , a compulsory subject taught during the second semester of the second academic year of the Social Work degree programme. It is divided into two parts: the first one is presented from a social psychology perspective, and it is made up of five course curriculum topics. The  second one is taught from a social work/social services perspective, which focuses more on the specifics of the profession (four course curriculum topics). This experiment was conducted in February and March 2023, during the delivery of the social psychology part of the course. There are taught five course curriculum topics that fall within the domain of social psychology (psychology of groups). These topics are: 1) group meaning and types; 2) group growth processes, cohesion, conflict, obedience and group violence,  group decision-making; 3) group structure: definition, status, roles, norms, group culture; 4) leadership and 5) group characteristics such as communication and empathy. The participants were students enrolled in the “Social Work with Groups” course at the University of Zaragoza (Spain) during the 2022-2023 academic year. The sample size was 111 students: 56 performed CBL activities with Escape Room activities, and 55 performed CBL activities without Escape Room activities. The variable outcome of this experimental study was academic performance, assessed by the grade obtained in the mark for CBL activities with a rating from 0 to 10, where the higher score indicated a better performance. This mark showed the number of correct concepts that were identified and extracted from the case. This score was translated to a categorical assessment going from fail (between 0 and 4.9), to pass (between 5.0 and 6.9), to merit (between 7.0 and 8.9), to outstanding (between 9.0 and 10). Secondary outcomes The secondary variables were: 1) quantitative and qualitative exam score (on the psychology of groups´ contents) 2) students´ satisfaction with the activity, and 3) time needed for performing the activities. The academic performance data were collected using the exam score for the subject (psychology of groups´ contents). This exam consisted of 40 multiple-choice questions with three response options, taking the chance factor into account (so marks were deducted for wrong answers). The quantitative rating of each academic score can range between 0 and 10, with a higher score denoting a higher percentage of correct answers. The categorical holistic assessment of achievement goes from fail (between 0 and 4.9), to pass (between 5.0 and 6.9), to merit (between 7.0 and 8.9), to outstanding (between 9.0 and 10). The data on students´ satisfaction with the activity performed were collected using a self-reporting questionnaire made up of seven statements on the course and teaching methodology used (Gómez-Poyato et al. 2020; Oliván-Blázquez et al. 2022; Olivan-Blázquez et al. 2019), which were answered on a Likert scale from 0 to 4, with 0 meaning not at all and 4 meaning to a great extent. The statements to be evaluated were as follows: the teaching methodology used has encouraged new knowledge acquisition; it has favoured deep learning; it has helped me to think more critically; it has helped me to apply theoretical content to practice; it has helped me to apply theoretical content to assessments; it has helped me to understand concepts better; I believe it is an appropriate teaching methodology. A free response section was also included so that students could express themselves openly. The data for the time used to carry out the activities were also collected, measured in minutes used for finishing the activities. Age, gender and university admittance mark data were also obtained in order to   to determine if the student groups were in the same conditions regarding these values  at the start of the analysis.