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9,152 results for “Networking”
Data for replication of the publication: Probabilistic leak localization in water distribution networks using a hybrid data-driven and model-based approach
<p>20 to 30% of drinking water produced is lost due to leaks in water distribution pipes. In times of water scarcity, losing so much treated water comes at a significant cost, both environmentally and economically. In this paper, we propose a hybrid leak localization approach combining both model-based and data-driven modeling. Pressure heads of leak scenarios are simulated using a hydraulic model, and then used to train a machine-learning based leak localization model. A key element of our approach is that discrepancies between simulated and measured pressures are accounted for using a dynamically calculated bias correction, based on historical pressure measurements. Data of in-field leak experiments in operational water distribution networks were produced to evaluate our approach on realistic test data. Two problematic settings for leak localization were examined. In the first setting, an uncalibrated hydraulic model was used. In the second setting, an extended version of the water distribution network was considered, where large parts of the network were insensitive to leaks. Our results show that the leak localization model is able to reduce the leak search region in parts of the network where leaks induce detectable drops in pressure. When this is not the case, the model still localizes the leak but is able to indicate a higher level of uncertainty with respect to its leak predictions.</p>
NGS competence network - pipeline benchmark data
<p>VCF files generated with the megSAP pipeline for a pipeline benchmark performed by the NGS competence network.</p>
Network of hotspot interactions cluster tau amyloid folds
<p>Datafiles associated with <strong>Network of hotspot interactions cluster tau amyloid folds.</strong></p> <p> </p> <p>The alascan files contain the averaged and raw outputs of the <em>in silico </em>alanine scan conducted on tau fibrils. The combo aggregation file contains ThT fluorescence data from the VQIVYK/VEVKSE alanine mutants and coaggregation experiments. The incorporation_vs_insilico file contains the results of the alanine scan top and bottom hits compared to the results of the incorporation experiment of alanine mutants on that position.</p> <p> </p> <p>Version 2: Files added providing data for how edge and center chains contribute to the total energetics, as well as a per-layer energy contribution to total deltaREU in the alanine scan of the PHF fibril.</p>
Replication Data for: Geometry-Complete Perceptron Networks for 3D Molecular Graphs
<p>Included are preprocessed data files for the Newtonian many-body systems modeling task described in our accompanying manuscript.</p>
Dataset for Service Restoration of Distribution Networks Considering Energy Storage System
<p>The power distribution system presented is composed with 53 node and 61 branches and can be employed in multi-time service restoration problem, islading operation and energy storage system optimal operation. The system was designed based on a 53 node system (available <a href="https://ieee-dataport.org/documents/optimal-service-restoration-active-distribution-networks-considering-microgrid-formation">here</a>). The dataset was modified to include 6 photovoltaic generation, 3 energy storage system and time-changing demand load nodes.</p>
Optimal Dynamic Service Restoration of Distribution Networks Considering Energy Storage System Data
<p>The power distribution system presented is composed with 53 node and 61 branches and can be employed in multi-time service restoration problem, islading operation and energy storage system optimal operation. The system was designed based on a 53 node system (available <a href="https://ieee-dataport.org/documents/optimal-service-restoration-active-distribution-networks-considering-microgrid-formation">here</a>). The dataset was modified to include 6 photovoltaic generation, 3 energy storage system and time-changing demand load nodes.</p>
Network of reference tree-ring chronologies for forensic botanical (dendrochronological) examinations and dating of architectural structures in the Tyva Republic.
<p>The database consists of tables. First sheet - general description of tree-ring chronologies (general information: name of chronology, authors, data type, tree-ring parameter, notes, key words; description of sample collection site: site name, location, region, latitude, longitude, height; description of sample collection: collection code designation, number of series, year of first ring, year of last ring, maximum length of sample, average width of year ring; species affiliation - species; support - grant number). Second sheet, first column - years, second column - standardized growth value. The third sheet is a PDF document containing the results of independent testing in the program COFECA (the file is opened by the command: right-click/Acrobat Document object/open). The database is implemented in the OpenOffice.org Calc spreadsheet processor. The table file format is an internal OpenOffice.org Calc format, with the extension .ods. The data is accessed and structured using the standard tools "Sort", "Autofilter", etc. In the database, the integrity restriction control is not implemented, the user is invited to monitor the integrity of the database himself. Computer type: IBM PC. PC; OS: Windows 10.</p> <p>Type and version of the database management system: OpenOffice.org Calc.</p> <p>Database size: 5.6 MB</p>
Using generative adversarial networks to match experimental and simulated inelastic neutron scattering data
<p>Files uploaded here are related to the paper titled "Using generative adversarial networks to match experimental and simulated inelastic neutron scattering data". Here we investigate how generative adversarial networks can be used to match simulated- and experimental INS data.</p>
Social network differences and phenotypic divergence between stickleback ecotypes
<p><span></span></p> <p>Elucidating the mechanisms underlying differentiation between populations is essential to our understanding of ecological and evolutionary processes. While social network analysis has yielded numerous insights in behavioral ecology in recent years, it has rarely been applied to questions about population differentiation. Here, we use social network analysis to assess the potential role of social behavior in the recent divergence between two three-spined stickleback ecotypes, "whites" and "commons". These ecotypes differ significantly in their social behavior and mating systems as adults, but it is unknown when or how differences in social behavior develop. We found that as juveniles, the white ecotype was bolder and more active than the common ecotype. Furthermore, while there was no evidence for assortative shoaling preferences, the two ecotypes differed in social network structure. Specifically, groups of the white ecotype had a lower clustering coefficient than groups of the common ecotype, suggesting that groups of the white ecotype were characterized by the formation of smaller subgroups, or 'cliques'. Interestingly, ecotypic differences in clustering coefficient were not apparent in mixed groups composed of whites and commons. The formation of cliques could contribute to population divergence by restricting the social environment that individuals experience, potentially influencing future mating opportunities and preferences. These findings highlight the insights that social network analysis can offer into our understanding of population divergence and reproductive isolation.</p>
Datastes for NeuroDAVIS: A neural network model for data visualization
<p>These are the datasets used in the work NeuroDAVIS: A neural network model for data visualization.</p>
Local Optima Network Analysis of Multi-attribute Vehicle Routing Problem
<p>Multi-Attribute Vehicle Routing Problems (MAVRP) are variants of Vehicle Routing Problems (VRP) in which, besides the original constraint on vehicle capacity present in Capacitated Vehicle Routing Problem (CVRP), there are other restrictions that model diverse real-life system attributes. Among the most common attributes studied in the literature are the vehicle capacity and the maximum route length constraints. The impact of these restrictions on the overall structure of the problem and on the performance of local search algorithms used to solve it is not well known. This paper aims to explain how constraints impact different variants of VRP by altering the structure of the underlying search space. We focus on the analysis of Local Optima Networks (LON) for multiple Traveling Salesman Problem (m-TSP), and VRP with capacity (CVRP), distance (DVRP), and both (DCVRP) constraints. We present results that indicate that metrics obtained for a sample of local optima provide valuable information on the behavior of the landscape under modifications in the constraints of the problem. <br> The dataset contains the data extracted from the local optima network for a set of variants belonging to the family of vehicle routing problems.</p>
Multivariate Criminal investigation network
<p>Manipulation des fichiers csv</p> <p>Le fichier <em>nodes.csv</em> décrit les sommets du réseau multivarié. Les colonnes sont:</p> <ul> <li> `node id`: identifiant interne du sommet dans le logiciel Tulip quand l'export des données a été réalisé</li> <li> `CATEGORIE`: type du sommet</li> <li> `viewLabel`: label anonymisé du sommet</li> <li> `viewIcon`: nom de l'icône utilisé dans Tulip issu des libraires Material Design (<a href="https://materialdesignicons.com">https://materialdesignicons.com</a>/) et FontAwesome (<a href="https://fontawesome.com/">https://fontawesome.com/</a>)</li> <li> `viewShape`: identifiant interne Tulip pour les formes des sommets (ici, un icône décrit par `viewIcon`)</li> </ul> <p>Le fichier <em>edges.csv</em> décrit les arêtes du réseau multivarié entre les sommets du fichier <em>nodes.csv</em>. Les colonnes sont:</p> <ul> <li> `src id`: identifiant interne de Tulip du sommet source de l'arête (dans Tulip les arêtes sont orientées. On peut ou pas se servir de l'orientation)</li> <li> `tgt id`: identifiant interne de Tulip du sommet destination de l'arête</li> <li> `CATEGORIE`: type de l'arête</li> <li> `ponderations`: ponderation ou force liante telle que définie par l'experte en sciences criminelles</li> <li> `viewLabel`: label de l'arête apportant des détails sur le lien</li> </ul> <p><br> Pour importer ces fichiers dans Tulip:</p> <ul> <li> Ouvrir le module `csv` (bouton `csv` en bas à gauche de la fenêtre)</li> <li> Importer le fichier `nodes.csv`</li> <li> Après avoir choisi les bons paramètres de lecture du fichier, il faut cliquer sur le bouton de la propriété `viewLabel` et changer son type en `string` (bug de la version 5.6.3 de Tulip, corrigée dans la version 5.7)</li> <li> Importer de la même manière le fichier `edges.csv`</li> <li> Au moment de choisir le type de données à importer, il faut choisir `New relations`</li> <li> Modifier les boutons sous `Source properties` et `Destination properties` pour ne choisir que la propriété `node id`. Le lien entre les sommets déjà importés et les arêtes se fera sur cette propriété existante.</li> </ul>
Operator-Software Impact in Local Tie Networks: Case study at Geodetic Observatory Wettzell (Data set)
<p>The operator-software impact describes the differences between results introduced by different operators using identical software packages but applying different analysis strategies to the same data. This contribution studies the operator-software impact in the framework of local tie determination, and compares two different analysis approaches. Both approaches are used in present local tie determinations and mainly differ in the consideration of the vertical deflection within the network adjustment. However, no comparison study has yet been made so far. Selecting a suitable analysis approach is interpreted as a model selection problem, which is addressed by information criteria within this investigation. A suitable model is indicated by a sufficient goodness of fit and an adequate number of model parameters. Moreover, the stiffness of the networks is evaluated by means of principle component analysis. Based on the date of a measurement campaign performed at the Geodetic Observatory Wettzell in 2021, the impact of the analysis approach on local ties is investigated. For that purpose, an innovated procedure is introduced to obtain reference points of space geodetic techniques defining the local ties. Within the procedure, the reference points are defined independently of the used reference frame, and are based on geometrical conditions. Thus, the results depend only on the estimates of the performed network adjustment and, hence, the applied network analysis approach. The comparison of the horizontal coordinates of the determined reference points shows a high agreement. The differences are less than 0.2 mm. However, the vertical components differ by more than 1 mm, and exceed the coverage of the estimated standard deviations. The main reasons for these large discrepancies are a network tilting and a network bending, which is confirmed by a residual analysis.</p>
Neural Networks for Structure-Informed Prediction of Formation Energy (employed in SIPFENN)
<p>pySIPFENN Documentation: <a href="https://pysipfenn.org">pysipfenn.org</a></p> <p>pySIPFENN GitHub: <a href="https://github.com/PhasesResearchLab/pySIPFENN">git.pysipfenn.org</a></p> <p>Original SIPFENN Paper: <a href="https://doi.org/10.1016/j.commatsci.2022.111254">10.1016/j.commatsci.2022.111254</a></p> <p> </p> <p>Network Changelog:</p> <p>V 0.10 - All models moved to the open ONNX format for improved interchangeability; NN30 neural network similar to NN20 but accepting the new KS2022 feature vector; Python code migrated to public GitHub repository.</p> <p>V 0.9 - Python code updated to the release version; paper published</p> <p>V 0.8 - Python code (beta) to run models included</p> <p>V 0.7 - Original upload of development models </p> <p> </p> <p>Selected works with SIPFENN alongside DFT and experiments:</p> <p>- <a href="https://doi.org/10.1016/j.actamat.2021.117448">10.1016/j.actamat.2021.117448</a></p> <p>- <a href="https://doi.org/10.1038/s41598-021-03578-0">10.1038/s41598-021-03578-0</a></p> <p> </p> <p>SIPFENN Abstract (original publication, 2021):</p> <p>In recent years, numerous studies have employed machine learning (ML) techniques to enable orders of magnitude faster high-throughput materials discovery by augmentation of existing methods or as standalone tools. In this paper, we introduce a new neural network-based tool for the prediction of formation energies based on elemental and structural features of Voronoi-tessellated materials. We provide a self-contained overview of the ML techniques used. Of particular importance is the connection between the ML and the true material-property relationship, how to improve the generalization accuracy by reducing overfitting, and how new data can be incorporated into the model to tune it to a specific material system.<br> <br> In the course of this work, over 30 novel neural network architectures were designed and tested. This lead to three final models optimized for (1) highest test accuracy on the Open Quantum Materials Database (OQMD), (2) performance in the discovery of new materials, and (3) performance at a low computational cost. On a test set of 21,800 compounds randomly selected from OQMD, they achieve mean average error (MAE) of 28, 40, and 42 meV/atom respectively. The second model provides better predictions on materials far from ones reported in OQMD, while the third reduces the computational cost by a factor of 8.<br> <br> We collect our results in a new open-source tool called SIPFENN (Structure-Informed Prediction of Formation Energy using Neural Networks). SIPFENN not only improves the accuracy beyond existing models but also ships in a ready-to-use form with pre-trained neural networks and a user interface. </p> <p> </p> <p>Contacts:</p> <p>- Adam Krajewski: ak@psu.edu</p> <p>- Prof. Zi-Kui Liu: zxl15@psu.edu</p>
PALEODEM/Social networks mediated the rapid spread of Mesolithic trapeze industries in Iberia
<p>This repository contains data files, R codes and the agent-based model used to produce the analysis of cultural diffusion in the case study of the spread of Mesolithic trapezes industries in Iberia.</p> <p>They correspond to the following reference:</p> <p>Romano, V, Gómez-Puche, M., Cucart-Mora, C., Fernández-López de Pablo, J., Lozano, S. “Social networks mediated the rapid spread of Mesolithic trapeze industries in Iberia”</p> <p>We specify the content of each folder/file further down:</p> <ol> <li>Data files folder contains empirical data employed in the analysis. More precisely contains 3 archives with the geographic coordinates of archaeological sites from TS1, TS2 and TS3 and the Distances matrices file.</li> <li>R codes folder contains the scripts to reproduce the analyses, as well as the csv files employed.</li> <li>Social diffusion model folder contains the NetLogo model employed.</li> </ol> <p>Additionally, we provide the empirical dataset of lithic assemblages (n=70) and archaeological sites (n=53) analyzed in this work (Table S1.xlsx), and a list of archaeological references corresponding to archaeological sites analyzed.</p>
Colombia researchers co-authorship network and adjacency matrix.
<p>OpenAlex subset of papers published by researchers affiliated with an institution in Colombia.</p> <p>* gml file containing the coauthorship network with the metadata: Researcher name, one affiliation, list of OpenAlex concepts of level 0.</p> <p>* Adjacency matrix of type scipy sparse saved in a npz file</p> <p>*npz file with the concepts the author ar marked with</p> <p>*npz file with a map of 200 words and the affiliation each author reports</p> <p>*npz file with a dict that has the mappings from numbers to string for each variable (X with words and affiliations and Z with concepts)</p>
Graphs for indoor building scenarios for IEEE 802.11 Networks
<p>Graph files and the corresponding EPS figures for the IEEE 802.11 indoor building scenarios used in the experiments for the following publications:</p> <p>* Tejedor-Romero, M., Gimenez-Guzman, J. M., Cruz-Piris, L., Herranz-Oliveros, D., & Marsa-Maestre, I. (2024). Optimal channel assignment on dense Wi-Fi networks using Thermodynamic Threshold Accepting. <em>Engineering Science and Technology, an International Journal</em>, <em>57</em>, 101797, https://doi.org/10.1016/j.jestch.2024.101797</p> <p>* J.M. Gimenez-Guzman, I. Marsa-Maestre, L. Cruz-Piris, D. Orden, M. Tejedor-Romero, "IEEE 802.11 graph models", Alexandria Engineering Journal, https://doi.org/10.1016/j.aej.2022.12.016</p>
Homeostatic regulation through strengthening of neuronal network correlated synaptic inputs
<p>Data from "Homeostatic regulation through strengthening of neuronal network correlated synaptic inputs" by Barnes SJ, Keller GB & Keck T.</p> <p> </p>
Socio-demographic portrait and demographic values of pro-natalists and anti-natalists in Russia: assessment based on data from the social network VKontakte
<p>The dataset contains data from personal profiles of social network users VKontakte - socio-demographic characteristics (gender, age, date of birth, marital status, country and city of residence) and indicators of demographic values (“the main thing in life”, attitude to alcohol, attitude to smoking, pronatalist or anti-natalist), as well as a number of other indicators - religious and political beliefs,<br> "the main thing in people." Initially, as a selection criterion, the authors used belonging user to the relevant communities (groups) of the VKontakte social network, sharing different family and reproductive values (to be a parent, to give birth child, start a family or profess the values of childfree philosophy). For example, persons who were members of groups devoted to "childfree" values were assigned the status "anti-natalist". And individuals in groups devoted to issues of childbirth and family values, parenthood, were assigned the status of "pronatalist". For example, groups with the names "GOOD PARENTS" (https://vk.com/club52388302) and "MOM: Development, Family, Children" (https://vk.com/club69716165) are pronatalist, and groups "The TRUTH about Childfree (Childfree)" (https://vk.com/club58565280) and "Overheard Childfree" (https://vk.com/club69265846) - to anti-natalist ones. The authors extracted comments of users of these two types of groups in the social network VKontakte, applying methods of extraction (parsing) of data from social networks using VK API. Organized open access to databases compiled by us from hundreds<br> thousand comments from users of dozens of groups of two types in more than one and a half decades [Kalabikhina &amp; Banin, 2020; Kalabikhina &amp; Banin, 2021]. Further, the authors linked the data of their personal data to users from these groups.<br> questionnaires. At the second stage, the resulting sample was additionally corrected - in it only those persons who filled in the field "The main thing in life" in the personal questionnaire on VKontakte to determine priority values for users with different types of reproductive behavior. Include in the analysis only those users who answered the question from personal questionnaire on VKontakte about what is most important for them in life, allows reduce the risk of "bots" getting into the sample. We believe that in the questionnaires of bots such fields as "The main thing in life", "The main thing in people" will not be filled in, the indication of this<br> information in the personal profile testifies in favor of the fact that the account is really belongs to a real person. At this stage, the sample included 754,315 users. Additionally, we limited the sample according to the age indicated in the questionnaire. We excluded from the sample users who indicated their age of 80 years and older. We we believe that this is an indirect sign by which it is possible to identify accounts with inaccurate information. The final sample after the introduced restrictions was 377,786 people, it includes users of the social network VKontakte, consisting of groups of anti-natalists and pro-natalists who filled in the information section about themselves item "The main thing in life" minus persons who indicated in the questionnaire that they are over 80 years old.</p>
Database used in : Analysis of intermunicipal journeys for cardiac surgery in Brazilian Unified Health System (SUS): an approach based on network theory
<p>Data and scripts referring to the results generated in the article entitled: <strong>Analysis of intermunicipal journeys for cardiac surgery in Brazilian Unified Health System (SUS): an approach based on network theory.</strong></p> <p> </p> <p>To obtain the results of the work the following sequence of database treatment was performed:</p> <p> </p> <p>DATASUS --> BASE_PER_YEAR --> EDGES_BASE --> EDGES_VC_BASE</p> <p>The bases were downloaded from the DATASUS site (link: https://datasus.saude.gov.br/transferencia-de-arquivos/#) in .dbc format separated by month and year; using Tabwin we joined the bases generating a base for each year in csv format. The reformatted bases are gathered together in the file PER_YEAR_BASE.ZIP; from the bases for each year we manually built the files in csv format with the list of the edges with the following fields: "Source", "Target", "Type", "Id", "Label" and "Weight". The "Source" column was filled with data from MUNIC_RES and the "Target" column with data from MUNIC_MOV. The "ID" and "Weight" fields were filled in automatically using Gephi, where the "Weight" column represents the sum of the edge, defined by the pair of Source and Target columns, were repeated throughout the year. This generated the bases containing the list of edges that are grouped in the file EDGES_BASE.ZIP. Each base was filtered to contain only edges related to the city "Vitória da Conquista" and grouped in the file EDGES_VC_BASE.zip</p> <p>INDE BASE --> NODES_BASE</p> <p>To build the list of nodes containing the list of municipalities with their respective geographical locations (in UTM), we used the database of the INDE (available on the link: https://visualizador.inde.gov.br/). The file in shape format was treated in the ArqGis program and the database with the network nodes was created (file NODES_BASE.csv).</p> <p>EDGES_VC_BASE and NODES_BASE --> NETWORK</p> <p>Using the program Gephi we joined the bases referring to the edges (EDGES_VC_BASE) and those referring to the nodes of the network (NODES_BASE) and built the networks for each year studied for the city of "Vitória da Conquista". All networks are in gephi format and compressed in the NETWORKS.zip file.</p> <p>EDGES_VC_BASE and NODES_BASE --> INDICES</p> <p>Using the R script "distance.R" and using as input the files of edges (EDGES_VC_BASE) and nodes (NODES_BASE) we generate files in csv format with the columns: dist_med_in , dist_med_out, Flow_in and flow_out. The indexes dist_med_in and dist_med_out represent the average distance traveled in meters to enter and leave the municipality, respectively; the indexes flow_in and flow_out estimate the quantity of people that entered and left the municipality. All index files are grouped in the compressed file INDICES.zip.</p> <p>The last two digits at the end of all file names represent the year of analysis. </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.