cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3rh3r2hckr
title: The Swarm Intelligence Evaluation of The Software Components Quality

description: The dataset provides the experimental results for the swarm intelligence evaluation of quality indicators of software components. The experiments were performed in a virtual infrastructure simulating the desired operating conditions of the software system being developed. The Vagrant and Ansible configurations of the virtual infrastructure are provided with the files 'Vagrantfile' and 'playbook.yml' respectively. To reduce the number of experiments with the software components as well as to ensure the sustainability of the solution the integer-valued artifical bee colony algorithm (ABC) was applied. The dataset presents the experimental evaluations of software components associated with the initial and 15 subsequent iterations of the ABC until the algorithm converged. Each file provides the individual evaluation of the quality indicators associated with the corresponding agent. The first number in the filename represents the iteration number of the algorithm from 0 to 15, the second one is the serial number of the food source in the population, then the role of the agent during the food source evaluation is specified. 'StackQual.fis' is the MATLAB fuzzy inference system which was used to assess the overall quality of the software components using the three partial indicators: execution.hrtime, execution.cpuUsage.user, execution.memoryUsage.rss. The file 'Evolution.tif' is the graph of the selection with the ABC. The dataset contains the scenarios for software components selection process (‘comands.zip’) and the experimental algorithm (‘service-1.zip’), both of which are to be run in the virtual infrastructure. The modified artificial bee colony algorithm with the cost function script is provided as well (‘matlab.zip’). The MATLAB environment is preserved in 'environment.mat' to show the terminal solution set, parameters of the ABC and the evolution process in detail. The file ‘snippets.zip’ contains a number of files representing the available software component implementations. Every file provides the factory function with component initialization algorithm. The factory function returns a new proxy function, which maps passed arguments to match the component's function signature and vice-versa for the output. The file ‘logging.js’ provides means for tracking resource utilization during the experiment.
DOI: 10.17632/5f774mdcj7
title: Replication material: The effect of visa types on international tourism by Jaume Rosselló and María-Santana-Gallego in Economic Modelling

description: Replication material: The effect of visa types on international tourism
By Jaume Rosselló and María-Santana-Gallego in Economic Modelling 
This version: May 2024
DOI: 10.17632/xzycyvmks2
title: Household Survey and Bioeconomy data of rice producers in Ecuador.

description: The Data was recollected by CIAT Group and Ministerio de Agricultura y Ganaderia MAG de Ecuador. This Data was facilited for the article Rice (Oryza Sativa L.) Bioeconomy: A DEA approach (VRS, CRS & Bootstrapping). The present dataset contains the original data from 612 rice farms in the five provinces of Ecuador. The dataset includes adjusted data for application in R for statistical analysis and the DEA methodology with BCC and CCR models adjusted with Bootstrap. Data were collected from 612 rice-producing farms in Ecuador during the 2019-2020 year or cycle. Details were gathered on Total Income [ti], Total Cost [tc], Total CO2 Emissions (kg CO2 eq/cycle) [te], Urea Used (kg/ha) [u], Farmer Age [age], Years of Study [Study_year], Years of Experience [experience], Land Area (ha) [area_ha], and Yield in Tons per Hectare [rend_ton_ha]. The provinces in Ecuador where the data were collected are: Guayas, El Oro, Manabi, Loja, and Los Rios.
DOI: 10.17632/38npddpnts
title: Carbon and nitrogen concentrations and isotopes for the vegetation types in Brazil

description: A total of 6480 tree leaf samples were collected from 57 sites of the major Brazilian biomes encompassing the following main vegetation types according to IBGE (2012) classification. All samples included in this paper were analyzed at the Laboratory of Isotope Ecology of the Center for Nuclear Energy in Agriculture (CENA), University of São Paulo (USP).
DOI: 10.17632/7v27xcyv99
title: Integrated phylogenomics and fossil data resolve the evolution of beetles

description: With over 380,000 described species and possibly several million more yet unnamed, beetles represent the most biodiverse animal order. Recent phylogenomic studies have arrived at considerably incongruent topologies and widely varying estimates of divergence dates for major beetle clades. Here we use a dataset of 68 single-copy nuclear protein coding genes sampling 129 out of the 196 recognized extant families as well as the first comprehensive set of fully-justified fossil calibrations to recover a refined timescale of beetle evolution. Using phylogenetic methods that counter the effects of compositional and rate heterogeneity we recover a topology congruent with morphological studies, which we use, combined with other recent phylogenomic studies, to propose several formal changes in the classification of Coleoptera.
DOI: 10.17632/pmpb5khx48
title: Metagenomic analysis in a mouse model of steatohepatitis

description: It is previously established that the ratio of Bacteroidetes and Firmicutes, the two dominant phyla that make up over 90% of bacterial phylogenetic types in the human distal gut, is modulated by the diet; in particular a diet enriched in fat causes a modulation of the intestinal microbiota composition that results in a decreased proportion of Bacteroidetes which is compensated by a robust increase in the proportion of Firmicutes. The goals of this study are to confirme these findings analyzing the composition of microbiota in mice fed a High Fat diet and fructose (HFD-F), and to evaluate the effects of two bile acid receptors ligands, Ursodeoxycholic acid (UDCA) and Obeticholic acid (OCA), on intestinal flora in this mouse model of NASH. Here we report the information obtained from metagenomics workflow for each sample.
DOI: 10.17632/rbgwgc2yv9
title: Determine and show pore size

description: C++ Code to determine pore sizes
DOI: 10.17632/trbc9k8b5k
title: Data for: Credit Constraints and GDP Growth: Evidence from a Natural Experiment
DOI: 10.17632/vm9hjcyddn
title: Replication_Package_Blanchard-Bown-Chor_JIE_2024

description: ********************************************************
* Blanchard Bown Chor (2024) Supplementary Material *
********************************************************

by

Emily J. Blanchard, Tuck School of Business at Dartmouth

Chad P. Bown, Peterson Institute for International Economics

Davin Chor, Tuck School of Business at Dartmouth

Supplementary material that accompanies the article "Did Trump's Trade War Impact the 2018 Election?", Journal of International Economics.
DOI: 10.4121/uuid:a2b6bb99-b984-4d30-bbb8-bacd80f251ad
title: Replication Data for: Diversion of flow and sediment towards a side channel separated from a river by a longitudinal training dam

description: A human-made entrance to a side channel separated from the river by a longitudinal training dam can be considered a new, emergent type of river bifurcation. To understand the processes controlling the diversion of flow and sediment towards the side channel at such bifurcations, a comprehensive field-monitoring programme was performed in the Waal River, which is the main branch of the Rhine River in the Netherlands. Local processes govern the flow field in the bifurcation region. The angle between the main river flow and the flow into the side channel increases with decreasing lateral and longitudinal distance to the bifurcation point, which corresponds to the head of the training dam. The general flow pattern can be well reproduced with a uniform depth, potential flow model consisting of a superposition of main channel flow and lateral outflow. For submerged flow conditions over the sill, the side channel hydraulic conditions influence the exchange processes, yet free flow side weir theory describes the flow field at this bifurcation type qualitatively well. The vertical flow structure in the side channel, which governs the sediment exchange between the main channel and the side channel, is steered by the geometrical details of the sill. The presence of the sill structure is key to controlling the morphological stability of this type of bifurcation given its primary influence on bed load sediment import and exerts an indirect impact on suspended sediment exchange.
DOI: 10.6084/m9.figshare.1564779.v1
title: Ecology week 4 Lab : Number of insects captured and Number of RTUs within 3 Different Coloured Pan Traps in Grasslands and Woodlot

description: The purpose of this lab was to collect 4 data sets to familiarize yourself with sampling tools and publishing datasets individually. I was responsible for the pan trap data set. My partners Krystal and Sumera were responsible for the distance based data set and quadrat data set. Mustafa and I worked hand in hand for my personal data set and his whichb was the sweep net data set. Our discussion of the lab took place in room 118 of the Lumbars building at York University on Monday September 28th 2015 at 2:30pm. We then proceeded to the Danby woodlot also located at york Univeristy. It was a rainy and cloudy day with winds at 10km/h a 2 on the beaufort scale and 18 degrees celsius. For the pan trap data set the materials needed were 20 bowls, 10 for the woodlot and 10 for the grassland located behind the woodlot. We also needed a pair of tweezers and small strainer (this is used to sort the insects in data collection). I strategically placed the bowls alternating colours in a straight line, 6 steps between each on the edge of the grassland and in the woodlot from the centre clearing into the heavy wooded area. There were 4 yellow bowls, 3 white bowls and 3 blue bowls per grassland and woodlot. Each bowl was filled with soapy water and placed on in its chosen position at approximately 3:15pm. Giving an hour gap to make sure there was time for insects to find their way into the bowl. Whilst waiting through that hour I helped Mustafa contiue his sweepnet data set. After an hour had passed my whole group went to observe and collect the data from each bowl, we siffed the soapy water through the strainer and used the tweezers to pick up each insect individual. I then noted what colour bowl it was, how many insects were found in the bowl total and how many RTU’s which is the recgonizable taxanomic units could be distinguished. This was repeated for each bowl in both the grassland and woodlot. We then emptied the bowls collected the materials and made our way back to room 118 lumbars building. The data was then placed in an excel file and uploaded to figshare.
DOI: 10.6084/m9.figshare.22060346.v1
title: Dataset Santos et al., 2023 (Hippocampus)

description: Dataset from the manuscript entitled "Contextual fear conditioning with a time interval induces CREB phosphorylation in the dorsal hippocampus and amygdala nuclei that depend on prelimbic cortex activity" in the Hippocampus journal (Santos et al., 2023).
DOI: 10.6084/m9.figshare.22093253.v2
title: MCP HMMs

description: Set of HMMs for identifying the viral MCPs This is supplementary information for Lopez-Garcia, Gutierrez-Preciado <em>et al</em>'s manuscript entitled <strong>‘Metagenome-derived virus-microbe ratios across ecosystems’</strong>
DOI: 10.6084/m9.figshare.23965386.v1
title: Water`s path from moss to soil Vol. 2

description: The dataset "Erosion+runoff+percolation in infiltration boxes.csv" contains data for soil erosion, surface runoff and amount of percolated water measured during rainfall simulations with infiltration boxes filled with 5 different substrates and covered with 7 different moss species.The dataset "Temporal dynamics of water content in infiltration boxes.csv" contains data on the temporal dynamics of water content recorded during rainfall simulations at the surface and at a depth of 3 cm in the infiltration boxes using biocrust wetness probes.
DOI: 10.6084/m9.figshare.4704724.v1
title: R script and dataset for Bayesian hierarchical logistic modeling of percent male in sea lamprey populations in lentic and river environments

description: R code for conducting analyses described in Johnson, N.S., W.D. Swink, and T.O. Brenden. Field study suggests that sex determination in sea lamprey is directly influenced by larval growth rate. Proceedings of the Royal Society B.<br><br>data.csv is the raw data for fitting the Bayesian hierarchical logistic regression model<br><br>Read me_Metadata... is the metadata describing the variables in the data.csv file<br><br>Rscript.R is the R script for fitting the Bayesian hierarchical logistic regression model<br>
DOI: 10.17608/k6.auckland.12886745.v7
title: Untangling the genetic link between type 1 and type 2 diabetes using functional genomics

description: All datasets and supplementary information for this article.
DOI: 10.17632/5ckgmp4zzj
title: Schistosoma mansoni - Kato Katz

description: This image set contains 23 microscopic images of eggs of the parasite Schistosoma mansoni. The slides were prepared using the Kato Katz technique.
DOI: 10.17632/pd67rx3k5y
title: Customizable Light-Duty Aerial Recovery Kit

description: This dataset contains the design files and software needed for the construction and operation of the Customizable Light-Duty Aerial Recovery Kit (CLARK-3), a drone-based winch that is interoperable with the MAVLink protocol and can support the recovery of payloads up to 3kg. The mechanical components are 3D printable (both FDM and SLA) or readily available off-the-shelf. The control electronics is Arduino-based and can be customized and manufactured from the designs provided.
DOI: 10.17632/rtdryyvsxz
title: wannier90: A tool for obtaining maximally-localised Wannier functions

description: Abstract We present wannier90, a program for calculating maximally-localised Wannier functions (MLWF) from a set of Bloch energy bands that may or may not be attached to or mixed with other bands. The formalism works by minimising the total spread of the MLWF in real space. This is done in the space of unitary matrices that describe rotations of the Bloch bands at each k-point. As a result, wannier90 is independent of the basis set used in the underlying calculation to obtain the Bloch states. Therefo... Title of program: wannier90 Catalogue Id: AEAK_v1_0 Nature of problem Obtaining maximally-localised Wannier functions from a set of Bloch energy bands that may or may not be entangled. Versions of this program held in the CPC repository in Mendeley Data AEAK_v1_0; wannier90; 10.1016/j.cpc.2007.11.016 AEAK_v2_0; wannier90; 10.1016/j.cpc.2014.05.003 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.6084/m9.figshare.1106970.v1
title: Neurogenesis Happy Water does not increase dentate gyrus adult neurogenesis

description: Twelve adult rats (previously used for a real experiment) were pair housed and given ad libitum access to either tap water (n=6) or Neurogenesis Happy Water (NHW; n=6). Two days later rats were given a single injection of the thymidine analog, BrdU, to label dividing/newborn cells. Rats received tap water or NHW for an additional 14 days. This design maximizes detection of a potential neurogenic effect of NHW, since it would capture positive effects of NHW on both neuronal proliferation (since NHW was being consumed when new cells were born) and survival (since NHW was consumed during the period when many new neurons die). The number of adult-born BrdU+ cells was quantified with standard immunohistochemistry and stereological counting techniques. There was no difference in adult neurogenesis between rats treated with tap water and Neurogenesis Happy Water (t test, P=0.25)
DOI: 10.6084/m9.figshare.22759148.v1
title: Evidence-based comparative severity assessment in young and adult mice

description: In animal-based research, welfare assessments are essential for ethical and legal reasons. Accurate assessment of suffering in laboratory animals is often complicated by the multidimensional character of distress and pain and the associated affective states. The present study aimed to design and validate multidimensional composite measure schemes comprising behavioral and biochemical parameters based on a bioinformatics approach. Published data sets from induced and genetic mouse models of neurological and psychiatric disorders were subjected to a bioinformatics workflow for cross-model analyses. An online tool (R package) is provided, allowing the application of the bioinformatics approach to severity assessment data sets regardless of the parameters or models used. This tool is available at: https://github.com/mytalbot/cms.The tool can also be used to validate refinement measures. <br> Raw data sets: Data-set_Fig2a corresponding to Figure 2a Data-set_Fig2b corresponding to Figure 2b Data-set_Fig2c corresponding to Figure 2c Data-set_Fig2d corresponding to Figure 2d Data-set_Fig2e corresponding to Figure 2e Data-set_Fig2f corresponding to Figure 2f Data-set_Fig2g corresponding to Figure 2g Data-set_Fig3a corresponding to Figure 3a Data-set_Fig3b corresponding to Figure 3b Data-set_Fig3c corresponding to Figure 3c Data-set_Fig3d corresponding to Figure 3d Data-set_Fig4a corresponding to Figure 4a Data-set_Fig4b corresponding to Figure 4b Data-set_Fig4c corresponding to Figure 4c Data-set_FigS1 corresponding to Supplementary Figure S1 Data-set_FigS2 corresponding to Supplementary Figure S2 Data-set_FigS3 corresponding to Supplementary Figure S3 Data-set_FigS4 corresponding to Supplementary Figure S4 Data-set_FigS5 corresponding to Supplementary Figure S5 Data-set_FigS6 corresponding to Supplementary Figure S6 Data-set_FigS7 corresponding to Supplementary Figure S7 Data-set_FigS8 corresponding to Supplementary Figure S8 Data-set_FigS9 corresponding to Supplementary Figure S9
DOI: 10.6084/m9.figshare.26389069.v2
title: BEHSOF: Advanced Non-alcoholic fatty liver dataset with clinical metadata and ultrasound images for Deep learning Models

description: The liver is regarded as one of the essential organs in the body, playing a crucial role in digestion, nutrient absorption, and food processing. This indispensable organ is tasked with cleansing the blood that flows from the digestive tract. Additionally, the liver detoxifies harmful substances and metabolizes various medications. A key function of this organ involves intricate metabolic processes that transform food into energy. However, the liver's heightened sensitivity makes it susceptible to a variety of common ailments, underscoring the need for careful attention to its health. Among liver diseases, fatty liver stands out as the most prevalent, characterized by the buildup of fat within liver cells. This condition is particularly common among individuals who are overweight or have abdominal obesity. Specifically, non-alcoholic fatty liver disease (NAFLD) refers to the excessive fat accumulation in liver cells, a condition known as steatosis. Various diagnostic techniques have been developed for this disease, each offering distinct advantages and drawbacks. Ultrasound imaging has gained popularity due to its accessibility, non-invasive nature, and affordability. One of the approaches utilized in this diagnostic process is the employment of deep learning models. Sporadic studies have been conducted to leverage the available data in diagnosing the degree of non-alcoholic fatty liver disease, and given the significance of the issue, this body of research is continually expanding. Developing robust model training and conducting comprehensive analyses necessitates access to a diverse and comprehensive data repository that can be leveraged for training and validating the proposed models. To this end, we present the BEHSOF dataset, which comprises a collection of samples gathered with varying degrees of non-alcoholic fatty liver disease. Specifically, this data bank consists of ultrasound images from a population of 113 individuals under study, along with the corresponding labels for the levels of steatosis and fibrosis. In addition to the ultrasound images, the data bank provides clinical information, blood test results, and Fibroscan outcomes for the participants, which serve as reference data for fibrosis assessment. Finally, we showcase the results of two deep learning models as examples for training and testing the introduced data set.
DOI: 10.17632/3hfx8tyss4
title: Data

description: This dataset pertains to a study on the passivation of heavy metals in pig manure compost through the inoculation of three Bacillus species: Bacillus subtilis (BS), Bacillus licheniformis (BL), and Bacillus megaterium (BM). The research hypothesis posits that different Bacillus species have significant effects on the passivation of specific heavy metals in pig manure compost. The total content and different fraction contents of heavy metals (Cu, Zn, Pb, Cr and Ni) were determined. Additionally, parameters such as temperature, pH, total organic carbon, humic substance, humic acid, and fulvic acid were measured. The succession of the microbial community and changes in heavy metal resistance genes in pig manure compost were analyzed. The data demonstrated that the B. subtilis inoculation most effectively passivated Cu and Zn. The inoculation of B. subtilis and B. licheniformis both demonstrated the greatest impact on Pb passivation. B. megaterium demonstrated optimal efficacy for Cr passivation, whereas B. licheniformis showed the greatest influence on Ni passivation. This dataset provides new insights into heavy metal passivation in pig manure composting.
DOI: 10.17632/kywcx2py5c
title: SCM Nepal Survey Instrument

description: This is a supplementary data for the article entitled "Prevalence and risk factors for multidrug-resistant Escherichia coli isolated from subclinical mastitis in Western Chitwan of Nepal"
DOI: 10.6084/m9.figshare.11855220.v1
title: Beijing tourism number.csv

description: Beijing tourism number
DOI: 10.6084/m9.figshare.23904684.v1
title: RoB-2 RCT+CRCT 12-18 age group complete.xlsx

description: Complete risk of bias assessment conducted using the RoB 2 tool of results included in the Cochrane review <b>Interventions to prevent obesity in children aged 12 to 18 years old</b>
DOI: 10.17632/29t6p4wrs7
title: Rescue of α-synuclein aggregation in Parkinson’s patient neurons by synergistic enhancement of ER proteostasis and protein trafficking

description: Raw western blot data for main and supplemental figures to accompany Stojkovska et al, Neuron, published online Nov 17th, 2021 (http://doi.org/10.1016/j.neuron.2021.10.032). Please see the publication for details. Non-specific or irrelevant bands that could not be validated to react with the protein of interest are indicated by an asterisk. Red boxes indicate the area used for the main figures in the Neuron publication. Cropped out lanes were either due to loading of samples that were not relevant for that particular experiment, or were misloaded on the gel and therefore not representative data. We use a multi-channel western blot detection system that permits simultaneous detection of rabbit and mouse secondary antibodies on the same blot. The channels are indicated in the figure as either 700 or 800, corresponding to excitation wavelength in nanometers. Many blots were sequentially probed by multiple antibodies for efficiency purposes, and some images therefore contain residual signals from previous antibody probes. Coomassie images refer to the gel that was used to match with the transferred blots.