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The objective of this dataset was to present the forage biomass production over time in different pasture management systems. We selected two farms located in the Western region of São Paulo State, Brazil. Pasture field data collection was carried out in two farms during three dates (June and November 2018 and March 2019) over two seasons (wet and dry). Samples were regularly taken through time to monitor forage biomass. These fields represent a wide variety of pasture management, as follow: Farm 1 (Santa Clara): i) traditional, low forage productivity, cattle rotation; ii) traditional, intermediate forage productivity, fertilized, cattle rotation; iii) intensified pasture, high forage productivity, reformed, cattle rotation. Farm 2 (Poderosa): i) traditional degraded*, recently reformed with millet + grass, cattle rotation; ii) traditional, low forage productivity, signs of degradation, fertilized, cattle rotation. *degraded was based on visual analysis of pasture area with sparse grass and exposed soil in some areas. With the support of NDVI images from the MODIS sensor, sample pixels were used to allocate the sample points. The areas of these pixels were divided into nine sampling points and in each of these points, the forage biomass was collected. Soil analyses were also carried out in two seasons (June 2018 and March 2019). The data files were organized in three folders. Each folder represents one field campaign. These folders have a shapefile of all the fields, the same file in kml extension (to open on Google Earth) and a zip file with photography of each field during the field campaign. The attribute table of the shapefile has a description of the fields and biomass. Excel files show the same information of the attribute table and a description of the items. A figure with the template of the biomass collection scheme is also available. Soil analyses are in the folders 'June 2018' and 'March 2019'. A more detailed description and discussion about these data and their association with soil chemical analysis were described in a scientific report (available by request). The biomass collection allowed the analysis of the forage production and better diagnoses about resource utilization strategies over the different pasture systems. This work was funded by the São Paulo Research Foundation (process numbers 2018/10770-1, 2017/06037-4, 2016/08741-8, 2017/08970-0, 2018/11052-5 and 2014/26767-9) as part of the Global Sustainable Bioenergy Initiative.
Data Types:
  • Software/Code
  • Geospatial Data
  • Tabular Data
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A double-sided non-cooperative game with multiple firms and multiple customers based on supply function equilibrium model and demand response. Programs and data is contained in the Programs folder. Please execute loaddata.mat before executing any other programs. The data format and content is described in loaddata.mat
Data Types:
  • Software/Code
  • Dataset
The repository contains the ERP data for self-face, friend's face and other's face perception. Raw Data folder contain the EEG data in Brain Products format. Epoched Data folder contain processed EEG data in EEGLAB format. sLORETA files folder contain data of source mean amplitude within-cluster of significant correlations between ERP and heartbeat perception scores. Also, repository include subject description file with the antropometric and psychometric data.
Data Types:
  • Other
  • Software/Code
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This dataset contains cross-sectional and longitudinal tongue images and assessments obtained from 206 ALS patients and 104 age- and sex-matched controls that underwent high-resolution ultrasound (HRUS) and 3T MRI. In each image, the tongue is delineated in an additional region of interest (ROI) file provided for each of the coronal cross-sections acquired via HRUS and the midsagittal slices from the sagittal cerebral 3D-MPRAGE 3T MRI of the head. For these ROIs size and mean intensity markers are calculated. From the MRI images quantitative parameters for the shape and relative position of the tongue are derived. For each individual in the dataset these obtained markers are provided along with demographic and disease specific information in accompanying lists. The dataset can be combined with other data to increase statistical power or to extend the analysis with more advanced algorithms to implement and study additional markers for size, shape or texture of the tongue in ALS patients and controls.
Data Types:
  • Software/Code
  • Tabular Data
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The present study had four objectives. First, we aimed at replicating the effects of provocation on reactive aggression in a monetary modified Taylor Aggression Paradigm (mTAP). Moreover, we examined the moderating role of gender expecting higher gender differences under conditions of low provocation and smaller gender differences under conditions of high provocation. In terms of convergent validity, we hypothesized a significant relationship between self-reported trait aggression and behavioral aggression outcomes in the laboratory paradigm. Finally, to explore the role of provocation sequence, the monetary stimuli (0 - 90 cents) were presented either randomly or in a fixed sequence. In contrast to the random sequence, the fixed sequence was generated as triplets of the same provocation category. Because of the more homogeneous provocation sequence in the fixed condition, we expected higher aggression levels after higher provocation and lower aggression levels after lower provocation in this experimental condition. In this experiment, 209 young healthy participants (104 males, 105 females) completed a mock competitive reaction time task with a fictional opponent with 40% preprogrammed win and 60% lose trials. In lose trials, participants were provoked by subtracting a low (0 - 20 euro cents), medium (30 - 60 cents) or high (70 - 90 cents) amount of money from their account.
Data Types:
  • Software/Code
  • Dataset
This dataset is about a systematic review of unsupervised learning techniques for software defect prediction (our related paper: "A Systematic Review of Unsupervised Learning Techniques for Software Defect Prediction" in Information and Software Technology [accepted in Feb, 2020] ). We conducted this systematic literature review that identified 49 studies which satisfied our inclusion criteria containing 2456 individual experimental results. In order to compare prediction performance across these studies in a consistent way, we recomputed the confusion matrices and employed MCC as our main performance measure. From each paper we extracted: Title, Year, Journal/conference, 'Predatory' publisher? (Y | N), Count of results reported in paper, Count of inconsistent results reported in paper, Parameter tuning in SDP? (Yes | Default | ?) and SDP references(SDPRefs OrigResults | SDPRefs |SDPNoRefs | OnlyUnSDP). Then from within each paper, we extracted for each experimental result including: Prediction method name (e.g., DTJ48), Project name trained on (e.g., PC4), Project name tested on (e.g., PC4), Prediction type (within-project | cross-project), No. of input metrics (count | NA), Dataset family (e.g., NASA), Dateset fault rate (%), Was cross validation used? (Y | N | ?), Was error checking possible? (Y | N), Inconsistent results? (Y | N | ?), Error reason description (text), Learning type (Supervised | Unsupervised), Clustering method? (Y | N | NA), Machine learning family (e.g., Un-NN), Machine learning technique (e.g., KM), Prediction results (including TP, TN, FP, FN, etc.).
Data Types:
  • Software/Code
  • Tabular Data
  • Dataset
  • Document
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Dual numbers are used to develop methods for computing velocities and accelerations
Data Types:
  • Software/Code
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This dataset is a combination of different biological tasks mentioned in this paper: "Green Model to Adapt Classical Conditioning Learning in Hippocampus"
Data Types:
  • Software/Code
  • Dataset
Smoke Test on 17Jul2019 natscilivecustomer (Dataset-1) Smoke Test on 17Jul2019 natscilivecustomer (Dataset-2)
Data Types:
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  • Software/Code
  • Image
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  • Tabular Data
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  • Audio
Batch mesophilic 37oC reactors fed with acetic acid (0.5 mL AC/L every 5-6 days), have been amended with different amount of incineration bottom ash/ and ammonium chloride for 120 days. At the start of the experiments, different mass of IBA was added to the reactors which had been amended with IBA. Then the group of the reactors which amended with NH4CL had received 4 g/L NH4Cl every run of 5-6 days. In parallel batch reactors without IBA/ and NH4Cl were also run. Reactor performance (methane production) and stability (pH drop and VFA accumulation) were investigated. On day end of the experiments i.e. on day 120, a representative digestate sample was collected from each reactor, then sequenced for 16S rRNA gene. The sequence files shown in this data set are fastq files from the illumina sequencing analysis.
Data Types:
  • Software/Code
  • Dataset
  • Text
  • File Set
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