Find research datasets worth reusing

opencc-by-4.0Nov 2011View details →

Figure 4. Communicated change-Definition of Information

In this work, a variable is not considered a mathematical construction, but an object in the discernable world. Since the features of communicators and communications can differ, the structure of the variable can differ too. Thus, in implementation where the crosswalk light directly differentiates between pressed and non-pressed buttons, the variable consists of the complete button mechanism. In alternative implementations where the button mechanism is connected to the input port of the traffic light’s internal processor the mediated variable is the input computer port and the button mechanism is an auxiliary appliance used by a pedestrian for setting this variable.

opencc-by-4.0Nov 2011View details →

Figure 1. Internal change-Definition of Information

Internal change will be represented with the help of a horizontal rectangle that is split along the x-axis into two parts. The upper half refers to the changed entity and the bottom half describes the change to this entity. Because this object changes spontaneously without any apparent external force or influence, there is only one rectangle and no other objects or arrow directions contained in this graphic (Figure 1).

opencc-by-4.0Jun 2011View details →

Figure 5. Multi-agent system information and knowledge scheme.-Design and Development a Control and Monitoring System for Greenhouse Conditions Based-On Multi Agent System

The negotiations between agents are subject to optimization based on “knowledge” that is derived from complete production models, yield models or even sparse models as expressed in fuzzy expert rules or practical rules of thumb. In addition, pest control and plant disease models provide additional information useful to the design of a successful strategy for optimal management [15] (illustrated in Figure 5).

Figure 4 in New information on the cranial and postcranial anatomy of the early synapsid Ianthodon schultzei (Sphenacomorpha: Sphenacodontia), and its evolutionary significance

Figure 4. Ianthodon schultzei. (a) Referred left maxilla KUVP 133736; (b) referred right maxilla FO 176.

Figure 1. Ianthodon schultzei holotype KUVP 133735 in New information on the cranial and postcranial anatomy of the early synapsid Ianthodon schultzei (Sphenacomorpha: Sphenacodontia), and its evolutionary significance

Figure 1. Ianthodon schultzei holotype KUVP 133735, combined slab, with outlines of skull bones (outlines by D. Scott, made prior to Kissel and Reisz, 2004, Fig. 2; now exposed as embedded counter slab) and a disarticulated skeleton of the diapsid reptile Petrolacosaurus kansensis (shaded areas); a – angular; ar – articular; c – vertebra centrum; cau – caudal neural arch; cle – cleithrum; co – anterior coracoid; cp – cultriform process of parasphenoid–basisphenoid complex; cr – cervical rib; d – dentary; dr – dorsal rib; h – humerus; n – nasal; na – presacral neural arch; pal – palatine; pc – posterior coronoid; pm – premaxilla; pra – prearticular; ps – parasphenoid–basisphenoid complex; pt – pterygoid; qj – quadratojugal; sa – surangular; sc – scapula; soc – supraoccipital; sp – splenial; v – vomer.

Figure 3. Ianthodon schultzei holotype KUVP 133735 in New information on the cranial and postcranial anatomy of the early synapsid Ianthodon schultzei (Sphenacomorpha: Sphenacodontia), and its evolutionary significance

Figure 3. Ianthodon schultzei holotype KUVP 133735. (a) Redocumented skull; (b) dislocated premaxillae. Fr – frontal; j – jugal; l – lacrimal; m – maxilla; p – parietal; po – postorbital; pof – postfrontal; pp – postparietal; prf – prefrontal; sq – squamosal; st – supratemporal; t – tabular.

Figure 6 in New information on the cranial and postcranial anatomy of the early synapsid Ianthodon schultzei (Sphenacomorpha: Sphenacodontia), and its evolutionary significance

Figure 6. Ianthodon schultzei cranial and skeletal reconstruction. Three-dimensional arrangement and projections based on a wax maquette. Skull in dorsal, ventral and lateral view; mandible in lateral and medial view.

Figure 2. Ianthodon schultzei holotype KUVP 133735 in New information on the cranial and postcranial anatomy of the early synapsid Ianthodon schultzei (Sphenacomorpha: Sphenacodontia), and its evolutionary significance

Figure 2. Ianthodon schultzei holotype KUVP 133735, slab in present condition, combined with photograph of skull area (lower left) before its removal.

Figure 5. Ianthodon schultzei holotype KUVP 133735 in New information on the cranial and postcranial anatomy of the early synapsid Ianthodon schultzei (Sphenacomorpha: Sphenacodontia), and its evolutionary significance

Figure 5. Ianthodon schultzei holotype KUVP 133735. (a) Close-up of central block; (b) detail of right posterior coronoid with eroded denticles; (c) detail of right pterygoid transverse flange dentition in dorsolateral aspect. Ic – intercentrum; pt-a – pterygoid anterior ramus; pt-q – quadrate ramus of pterygoid.

Figure 7 in New information on the cranial and postcranial anatomy of the early synapsid Ianthodon schultzei (Sphenacomorpha: Sphenacodontia), and its evolutionary significance

Figure 7. Majority rule and strict consensus cladograms of the 10 most parsimonious trees, with a key for bootstrap values above 50 %, the frequency of node occurrence and Bremer decay values. For nodes that collapse at one extra step, the Bremer decay values are not shown.

opencc-by-4.0Mar 2024View details →

[Supporting Information] Are Peruvians moving towards healthier diets with lower environmental burden? Household consumption trends for the period 2008-2021

Supporting information from the manuscript: Are Peruvians moving towards healthier diets with lower environmental burden? Household consumption trends for the period 2008-2021. The main goal of this study was to comprehensively analyze the evolution in diet quality in Peru in the period 2008-2021 based on apparent household purchases extracted from the National Household Survey (ENAHO, by its acronym in Spanish). Furthermore, this study identified patterns in the temporal and spatial variability of food consumption, differences in consumption based on poverty levels, and gaps in achieving consumption levels of macronutrients and calories recommended by international nutritional authorities. dataset1: contains the consumption of 96 food products in kg/person/year per household, for a time horizon from 2008 to 2021. dataset2: contains the caloric and macronutrient content in kcal or g macronutrient per 100g of 92 food items. dataset3: contains the consumption of calories, and macronutrients in g/person/day per household, for a time horizon from 2008 to 2021. dataset1_labels: contains the data dictionary of dataset1 dataset2_labels: contains the data dictionary of dataset2 dataset3_labels: contains the data dictionary of dataset3

opencc-by-4.0Mar 2020View details →

Fig. 5 in New information on ornithopod dinosaurs from the Late Jurassic of Portugal

Fig. 5. Cranial material of Ankylopollexia indet. from the Lourinhã municipality, Portugal, Lourinhã Formation, Kimmeridgian–Tithonian. Dentary ML 818, in medial (A1, A5), lateral (A2, A6), and dorsal (A3, A7) views, detail of the dentary/surangular contact (A4, A8).

Evolutionary Information Encoded in pLMs

This dataset was created to test the effect of combining evolutionary information with protein language model embeddings by evaluating the effect on secondary structure prediction. Our method for predicting secondary structure used PDB (Berman et al., 2000) structures as ground truths. Sequences were cross-checked with PDBredo DB (Joosten et al., 2014) and CATH (Sillitoe et al., 2021). This resulted in 296,596 protein chain sequences from 117,623 different proteins. HSSP-values (HVAL) (Rost, 1999; Sander & Schneider, 1991) were computed for all protein chain pairs, and the sequences split into training test and validation set as follows: TEST100: 100 randomly selected sequences meeting the following criteria:  <ol> <li>Deposited after April 2018 to allow a fair comparison to other recent methods</li> <li>Resolution: ≤2Å</li> <li>Any sequence pair (a,b) with a,b ∈ TEST100 must have an HVAL≤0</li> </ol> VAL100: 100 additional randomly selected sequences constrained to: <ol> <li>Deposited before April 2018</li> <li>Resolution: ≤2Å</li> <li>Any sequence pair (a,b) with either a ∈ TEST100 or a ∈ VAL100 and b ∈ VAL100 had a maximal HVAL≤0</li> </ol> TRAIN6727: we used the remaining sequences for training if and only if the following criteria were fulfilled: <ol> <li>Deposition before April 2018</li> <li>CATH annotations on the topology level (T) had to be different from any contained in TEST100 or VAL100</li> <li>HVAL≤0 for any pair (a,b) with a ∈ TEST100 or a ∈ VAL100 and b ∈ TRAIN6727</li> <li>PIDE≤70 for any pair (a,b) with a,b ∈ TRAIN6727, if a≠b</li> </ol> This yielded 6,727 protein chains for training.   This resource provided sequences, secondary structure annotations in 3-states, annotation of disordered regions, MSAs generated by MMseqs2 (Steinegger & Söding, 2017), PSSMs generated by MMseqs2 and meta files containing possible alternative PDB sequence IDs and CATH annotations. The original 8 DSSP (Kabsch & Sander, 1983) classes for secondary structure annotations were reduced to 3 following this protocol: <ul> <li>DSSP-H, DSSP-G, and DSSP-I to helix (H)</li> <li>DSSP-E and DSSP-B to strand (E)</li> <li>all remaining classes to other (-)</li> </ul> Disorder annotations were used to mask out residues in our evaluation that could not be resolved experimentally. All unresolved (disordered) residues are marked with X, while a dash (-) indicates a resolved position. Multiple Sequence alignments are provided in Stockholm format and the PSSMs are generated based on the provided MSAs. PSSMs were enumerated during creation. The mapping between the original PDB identifiers and the enumerated PSSMs is provided in the xxx.lookup files.

washopenresearch: Dataset about open research data information in Water, Sanitation, and Hygiene

The goal of washopenresearch is to provide an overview of open research data related to Water Sanitation and Hygiene (WASH). The package provides access to two datasets `washdev` and `uncnewsletter`. Each dataset collects information on scientific articles about (1) article metadata (e.g. title, first author, correspondence author), (2) supplementary material information, (3) data availability statement, and (4) semantic information (e.g. keywords).

opencc-by-nc-4.0May 2024View details →

Revealing the percolation–agglomeration transition in polymer nanocomposites via MD-informed continuum RVEs with elastoplastic interphases - dataset

Abstract: from [1] This contribution builds the concluding step of a multiscale approach to effectively capture the mechanical  behavior of polymer nanocomposites (PNCs), in this case, silica-modified polystyrene. By introducing  continuum-based representative volume elements (RVEs) that employ previously identified elastoplastic property  gradients for the interphases surrounding the fillers, the effects of particle size, particle volume fraction,  and agglomeration on the mechanical performance are investigated. Uniaxial tension tests are simulated with  the respective finite-element RVEs, and stress–strain curves are derived. The elastic and plastic material  properties of the RVE can then be extracted and analyzed quantitatively by fitting the stress–strain curves  with a Voce-type elastoplasticity formulation.  At small degrees of agglomeration, i.e., good particle dispersion, in combination with sufficiently large  particle volume fraction, percolation bands form, leading to improved elastic and plastic properties. Higher  degrees of agglomeration or particle clusters behave like large single particles, which has an adverse effect, i.e.,  the nanoscale size effect is thereby neutralized. Therefore, the precise MD-informed elastoplastic interphase  representation of our RVEs enables the investigation of the transition from beneficial percolation to unfavorable  agglomeration. Ultimately, this contribution establishes a link between the effects of particle size, particle  volume fraction, agglomeration, and percolation, which have so far only been discussed separately in the  literature.  Our methodology offers new insights into the structure–property relations of PNCs and their resulting  mechanical behavior. The underlying multiscale approach with a systematic transition from molecular to  microscopic scales is required to complement experimental observations and exploit the full potential of PNCs.  Contact: Maximilian Ries Institute of Applied Mechanics Friedrich-Alexander-Universität Erlangen-Nürnberg Egerlandstr. 5 91058 Erlangen Software: All finite element simulations were performed with Simulia Abaqus/CAE2018  License: Creative Commons Attribution Non Commercial 4.0 International Context: Data set supplementing  journal paper: [1] E.-M. Richter, G. Possart, P. Steinmann, S. Pfaller, & M. Ries, “Revealing the percolation–agglomeration transition in polymer nanocomposites via MD-informed continuum RVEs with elastoplastic interphases,” Composites Part B: Engineering, vol. 281, p. 111477, 2024. Content: - excel sheet summarizing all RVE simulations in combination with the elastoplastic constitutive model calibration: elastoplastic_constitutive_model_calibration.xlsx - input data for each RVE FE simulation in *.inp format following the naming convention:     agg_<degree of agglomeration>-fillercont_<filler content>Percent-fillerrad_<filler radius>nm     - degree of agglomeration is defined in [1]     - filler content is given in volume percent     - filler radius is given in nanometer

dryad40/100

Physics-informed neural networks (PINNs) with unsaturated water flow models for inverse analysis of soil hydraulic parameters of layered soil profiles

Information about the spatial distribution of soil hydraulic parameters is necessary for the accurate prediction of soil water flow and coupled movement of chemicals and heat at the field scale using a process-based model. Physics-informed neural networks (PINNs), which can provide physical constraints in deep learning to obtain a mesh-free solution, can be used to inversely estimate the soil hydraulic parameters from less and noisy training data. Previous studies using PINNs have successfully estimated soil hydraulic parameters for homogeneous soil but estimating such parameters of layered soil profiles where the interface depth and the parameters are unknown still has some difficulties. The objective of this study was to develop PINNs to inversely estimate the distribution of soil hydraulic parameters, such as saturated hydraulic conductivity and α and n, of the Mualem-van Genuchten model directly within layered soil profiles by predicting changes in pressure head from training data based on simulation results at given depths during infiltration. The impact of factors affecting PINNs performance, such as the weights assigned to each component of the loss function, the time range used in error computations, and the number of samples used to assess physical constraint was investigated. By assigning a larger weight to the physical constraint and excluding the earlier stage of infiltration in the loss function, the changes in pressure head and the three soil hydraulic parameter distributions within the layered soil profiles were successfully estimated. The developed PINNs can be further applied to more complex soils and can be improved.

opencc-zeroMay 2024View details →

openapache2.0Jan 2024View details →

Data and code for 3D-ARM-Gaze: a public dataset of 3D Arm Reaching Movements with Gaze information in virtual reality

This repository contains data and code for Lento B., Segas E., Leconte V., Doat E., Danion F., Péteri R., Benois-Pineau J., de Rugy A. (2024). 3D-ARM-Gaze: a public dataset of 3D Arm Reaching Movements with Gaze information in virtual reality. doi: It contains a dataset (DBAS22_DataOnline folder) of natural arm movements together with visual and gaze information when reaching objects in a wide reachable space from a precisely controlled, comfortably seated posture. More details could be find in the link publication (see Related identifiers section). The DBAS22_DocOnline folder contains all the documentation files. The MainDataExplained file lists and describes the variables recorded during the experimental phases. In the SummaryOfFiles document, you will find descriptions for all the files within the DBAS22_DataOnline folder, and at the bottom, there is also a file tree that illustrates the file structure. The DBAS22FilesWorkflow document offers an overview of the workflow of experimental file creation during the experiment. The DBAS22_CodeOnline folder contains all the scripts to perform data analysis, listed and described in the files CodeExplanations and DependenciesRelations. The GuideInstall file contains information needed to run the Python code files. The DBAS22_CodeOnline folder also contains the DataPlayer Unity project. Instructions for running the project are provided in the DataPlayerGuide file and SupplementaryVideo2 (see Related identifiers section for more details). The folder DBAS22_DataPlayer_StandAloneApp contains the standalone version of the DataPlayer, which doesn't require any software installation. The DBAS22_VideoOnline folder contains all the videos.

The Challenges of Implementing Digital Learning Platforms in the Ministry of Information and Digitalization in Malawi

This dataset was collected as part of a study exploring the implementation challenges and opportunities of digital learning platforms within the Ministry of Information and Digitalization in Malawi. The study employs a mixed-methods approach to reveal significant barriers such as internet connectivity issues, technological access limitations, and insufficient support that hinder the effective utilization of these platforms. The data includes responses from ministry personnel on their experiences with digital learning platforms, focusing on factors like support availability, time management, and motivation.

opencc-by-4.0Jun 2024View details →

Datasets for input and output of INFORM Severity-based SMAA study of resource allocation in humanitarian aid and disaster management under climatic losses and damages

The landscape of climate change and extreme events will remain a wicked problem for equitable and forward-looking resource prioritisation. The question of how to couple climate and multi-risk information remains. IPCC has considered that multi-criteria decision analysis (MCDA) can help. We use stochastic multi-attribute analysis (SMAA), a variant of MCDA, to compute prioritisations of climatic losses & damages (l&d) for fragile countries with a humanitarian response plan. SMAA is combined with the INFORM Severity index, measuring the status of crises and disasters, and preferences gathered from stakeholders (e.g., United Nations, European Union, World Bank, the research and public sector, civil society). <ul> <li>Dataset S1. XLS-file with all the input data compiled from sources, concurrent data manipulation, and descriptions of steps taken until ready for the SMAA.</li> <li>Dataset S2. XLS-file with results of the SMAA for all weight schemes and concurrent analysis, such as sensitivity heat mapping, correlations, regressions, and Tukey mean-difference plot.</li> </ul>

Supporting Information for: Single-fly genome assemblies fill major phylogenomic gaps across the Drosophilidae Tree of Life

This data repository contains supporting information, data, and code for figures and analysis pipelines the PLOS Biology article: "Single-fly genome assemblies fill major phylogenomic gaps across the Drosophilidae Tree of Life." <ul> <li>4d_full.treefile: Data underlying Figure 1 (note: tree was plotted as a cladogram and key groups collapsed on iToL; the treefile was not modified) and Figure S1.</li> <li>S2_data.csv: Data underlying Figure 2.</li> <li>S3_data.csv: Data underlying Figure 3.</li> <li>Data underlying Figure 4 is found in Table S4 of supplementary_tables.xlsx in the main manuscript</li> <li>S5_data.csv Data underlying Figure 5</li> <li>S6_data.csv Data underlying Figure S2 </li> <li>illumina_only_assms.tar.gz: Archive of Illumina-only assemblies (FASTA) based on publicy available data that we did not generate. Assemblies generated from our own short-read data have been submitted to NCBI GenBank.</li> <li>illumina_vcfs.tar.gz: Illumina-based variant calls and BED tracks of masked bases.</li> <li>genomes.tar.gz: Genome files, for archival purposes.</li> <li>repeatModeler-lib.tar.gz: RepeatModeler2 libraries.</li> <li>diploid_genomes.tar.gz: diploid genomes and BED tracks of phased regions.</li> <li>trees.tar.gz: phylogenies</li> </ul>