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Network Science

Social network graphs, knowledge graphs, citation networks, molecular graphs for GNN, web link graphs

425 datasets

Network Science

CoDEx: Knowledge Graph Completion Benchmark from Wikidata

CoDEx is a set of knowledge graph completion datasets extracted from Wikidata and Wikipedia, presented at EMNLP 2020. It comprises three knowledge graphs varying in size and structure, includes multilingual entity descriptions, and provides tens of thousands of hard negative triples. The benchmark was created by Tara Safavi of the University of Michigan to improve upon existing datasets in scope and difficulty.

TabularGraphMultilingualLink PredictionWikidataBenchmarkTriple Classification+1

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Network Science

Security and Privacy Measurements in Social Networks: Experiences and Lessons Learned

A research paper from Columbia University describes experiences and practical lessons learned from conducting security and privacy measurements on a large-scale social network. The work provides recommendations on ethical planning, institutional review board processes, and data-gathering techniques for online social networks. The author is Iasonas Polakis.

TextData CollectionSocial NetworksPrivacy ResearchEthical ExperimentationSecurity Measurements+1

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Network Science

LIAISE Radiometer Network: High-Frequency Solar Spectral Irradiance

From 14 to 28 July 2021, this dataset contains measurements from a network of 15 radiometers deployed during the LIAISE field campaign. It provides high-frequency solar spectral irradiance at 10 Hz, along with derived total shortwave irradiance and column-integrated water vapor at multiple temporal resolutions. All data is quality-controlled with metadata and flags, and Level 2 data is calibrated against high-quality references.

Time SeriesGeospatialSolar IrradianceLiaise CampaignRadiometerAtmospheric Water Vapor+1

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Network Science

Mapping Manuscript Migrations: A Unified Knowledge Graph of Medieval Manuscripts

The dataset integrates three major manuscript databases into a single knowledge graph covering medieval and early modern periods. It unifies records from the Schoenberg Database of Manuscripts, the Bibale database, and the Medieval Manuscripts Catalogue from the Bodleian Libraries. This structured data is available via a public SPARQL endpoint and powers a dedicated semantic portal for research.

GraphMedieval HistoryLinked DataManuscriptsCultural HeritageSynthetic+1

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Network Science

Citation Network of Knowledge Co-Production Literature with 1,893 Documents

A citation network of 1,893 academic documents relevant to knowledge co-production, linked by 9,759 citation edges. The dataset was constructed by researchers at the University of Edinburgh using a systematic search of the Web of Science Core Collection. It includes publication years for all nodes and detailed metadata for a subset of 525 fully retrieved papers.

GraphKnowledge Co ProductionGraph AnalysisAcademic LiteratureCitation NetworkBibliometrics+1

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Network Science

Estimating PC-SAFT Pure-Component Parameters by Using Graph Neural Networks: Application t

A dataset of 1842 molecules used to train a Graph Neural Network model for predicting PC-SAFT equation-of-state parameters from molecular structure. The model was developed by Wildson Bernardino de Brito Lima and last updated in May 2026, achieving a liquid density mean absolute percentage error of 8.21% on a test set of 1642 unseen molecules. It demonstrated improved accuracy over traditional group contribution methods for complex solvents like ionic liquids and deep eutectic solvents.

TabularCSVThermodynamic PropertiesGraph Neural NetworksIonic LiquidsPcsaft ParametersDeep Eutectic Solvents+1

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Network Science

PC-SAFT Parameter Predictions for Ionic Liquids and Deep Eutectic Solvents

A Graph Neural Network model predicts Perturbed-Chain Statistical Associating Fluid Theory (PC-SAFT) parameters for 1842 molecules based on molecular structure. The model, trained on experimental vapor pressure and saturated liquid density data, demonstrated superior performance on a test set of 1642 unseen molecules and a subset of 122 molecules compared to a traditional group contribution method. Created by Wildson Bernardino de Brito Lima and last updated on 2026-05-28, the dataset supports the application of the PC-SAFT equation of state to complex, low-volatility solvents.

TabularCSVThermodynamic PropertiesGraph Neural NetworksIonic LiquidsMolecular ModelingDeep Eutectic Solvents+1

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Network Science

Transfer Reaction Induced Fission 238U(d,p-fission) with HELIOS

Experimental data from the HELIOS facility includes absolute transfer and transfer-induced fission cross sections for Uranium-238. The upload contains pre-sorted physics events, analysis code, an electronic logbook, and setup documentation. Samuel Bennett from the University of Manchester authored this dataset, which is shared under an Open Access license.

TabularFission Cross SectionsHelios FacilityExperimental DataNuclear Physics+1

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Network Science

South American Social Network Analysis Publications and Citations, 1990-2013

922 scientific articles on Social Network Analysis from South America, collected from the Web of Science database. The data was compiled by Adílson Luiz Pinto using bibliometric and scientometric methods to analyze publication and citation frequencies. The study covers 11 countries, with Brazil, Argentina, and Chile showing the highest centrality in the collaboration network.

TabularSouth AmericaSocial Network AnalysisScientific ProductivityHealthcareBibliometrics+1

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Network Science

High-resolution Logbook Data from 45 Commercial Fishing Vessels in 2019

High-resolution logbook data contains direct observations from 45 commercial fishing vessels collected in 2019. The dataset includes effort, fuel consumption, and annual landings by species, which were used to compute Fuel Use Intensity (FUI) and Carbon Footprint (CF) per vessel. It was created by Antonello Sala and combined with on-site energy audits to model daily fuel consumption based on vessel length.

TabularFisheriesLogbookFishing VesselsFuel ConsumptionEnvironmental Impact+1

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Network Science

GraphXAI: Synthetic and Real-World Graph Datasets with Ground-Truth Explanations

GraphXAI is an open-source library providing a synthetic graph data generator and XAI-ready real-world datasets for evaluating Graph Neural Network explainers. The library includes ShapeGGen, which can generate benchmark datasets with varying graph sizes, degree distributions, and homophily levels, all accompanied by ground-truth explanations. It was created by Owen Queen of Harvard University Press and is available on paperswithcode.

GraphGraph DataGraph Neural NetworksBenchmarkingBenchmarkSynthetic DataSyntheticExplainable Ai+1

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Network Science

Estimating PC-SAFT Pure-Component Parameters by Using Graph Neural Networks: Application t

TabularExcelThermodynamic PropertiesGraph Neural NetworksIonic LiquidsPcsaft ParametersDeep Eutectic Solvents+1

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Network Science

WarSampo: A Finnish WWII Knowledge Graph

Finland's Second World War is documented in a harmonized knowledge graph with over 14 million triples. The data covers the Winter War (1939-1940), Continuation War (1941-1944), and Lapland War (1944-1945). It is structured into subgraphs for events, actors, places, photographs, and other documentation, and powers the semantic portal WarSampo.

GraphSemantic WebFinlandSecond World WarHistorical Data+1

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Network Science

Bayan Algorithm Benchmark: 1,020 Randomly Generated Networks for Community Detection

1,020 randomly generated network files in .gml format from a study on the Bayan community detection algorithm. The collection includes 500 ABCD graphs, 500 LFR graphs, 10 Erdos-Renyi graphs, and 10 Barabasi-Albert graphs. It was created by Samin Aref and colleagues for research published in 2022 and 2023.

GraphAlgorithm BenchmarkingRandom GraphsNetwork AnalysisCommunity DetectionSynthetic+1

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Network Science

Transitive Reduction of Citation Networks for Causal Structure Analysis

A paper by James R. Clough of Imperial College London analyzes the Transitive Reduction of citation networks. The work uses this graph-theoretic operation as a tool to reveal causal structure and highlight edges more likely to correspond to information transfer. The associated paper is available via Open Access (green) license on arXiv.

GraphTransitive ReductionCitation NetworksInformation TransferNetwork Analysis+1

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Network Science

Norovirus, Ammonia, and Orthophosphate in English Wastewater, 2021-2022

Wastewater samples contain norovirus levels, ammonia, and orthophosphate concentrations. The data comprises 3,232 samples from 152 sewage treatment works and 220 samples from 11 sewerage network sites across England, collected between May 2021 and March 2022 for the Environmental Monitoring for Health Protection programme. It was aggregated by the Marine Environmental Data & Information Network.

TabularOrthophosphateEnvironmental monitoringAmmoniaWastewaterHealthcareNorovirus+1

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Network Science

Hydro-geomorphic Unit Hydrographs for 18,440 Tibetan Plateau Catchments

18,440 catchments across the Tibetan Plateau are characterized by hydro-geomorphic unit hydrographs and 18 attributes. The dataset was produced by Yuhan Guo of Tsinghua University using the WFIUH extraction framework on the HydroBASINS dataset. It characterizes the rainfall and runoff response relationship.

TabularGeospatialCatchmentHydrologyGeomorphologyUnit HydrographTibetan Plateau+1

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Network Science

Social Network HIV Self-Testing Intervention in Australia: Process Evaluation Interviews

22 online semi-structured interviews with men who have sex with men in Australia, conducted as part of a process evaluation for a social network-based HIV self-testing intervention. The data, authored by Ying Zhang and last updated in June 2026, includes thematic analysis of facilitators and barriers to implementation using the Consolidated Framework for Implementation Research (CFIR). Interviews explored perceptions of acceptability, feasibility, and contextual appropriateness of peer-led test kit distribution.

TextTabular🇦🇺 AustraliaImplementation ResearchSocial NetworksHiv Self TestingBenchmarkHealthcareFinanceMsm Health+1

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Network Science

Arthropod Food-Web Data from Genetically Modified Maize Trials

Food-web graph index data contains node and edge counts for arthropod species in maize fields. The dataset includes arthropod samples collected via pitfall traps, yellow traps, and plant assessments across different maize development stages in 2007-2008. It was authored by Zoltán Pálinkás and is available under an Open Access license.

TabularArthropodsEcological NetworksGenetically Modified CropsFood WebAgriculture+1

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Network Science

U.S. Congress Signed Network Backbones from Co-Sponsorship Data, 1973-2016

Zachary P. Neal's dataset contains signed network backbones for the U.S. House and Senate across multiple sessions from 1973 to 2016. Relationships between congresspeople are inferred from bill co-sponsorship data using the Stochastic Degree Sequence Model. The data is structured as square matrices where cell values indicate positive (1), negative (-1), or no (0) relationships.

GraphSocial NetworksUs CongressCo SponsorshipSigned NetworksPolitical Science+1

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Network Science Datasets | DataSalon