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Directed labeled multigraphs and directed labeled multigraphs enriched with information about which graph patterns match a graph and how they match a graph
<p>This dataset contains all directed labeled multigraphs that consist of one or two triples and that were generated from a set of 5 terms.</p> <p>The graphs are represented as RDF data in ntriples format.</p> <p>The graphs 1-125 consist of a single triple. The graphs 126-4625 consist of two triples.</p> <p>Each graph also exists in an enriched version, where each graph pattern that matches the graph is made explicit in the graph and it is also made explicit how it matches the graph.</p> <p>Enrichment means that for each graph pattern that matches a graph, a node is introduced that is labeled with the name of that graph pattern. Each term that occurs in that graph pattern is linked to that graph pattern node with an edge labeled "occurs-in". For each term t in the graph that can be bound to a variable v according to a match of that graph pattern an edge will be created from the node t to the graph pattern node where the edge is labeled with "bound-to-v".</p> <p>The generation of the dataset and the enrichment procedure is described in more detail in a paper that is currently under double-blind submission. We will link to the paper once it is accepted for publication.</p> <p> </p> <p>Example: the graph #100 (file 100.nt)</p> <p><http://ex.org/term/4> <http://ex.org/term/5> <http://ex.org/term/5> .</p> <p>Example: the graph #2000 (file 2000.nt)</p> <p><http://ex.org/term/2> <http://ex.org/term/2> <http://ex.org/term/3> .<br><http://ex.org/term/2> <http://ex.org/term/3> <http://ex.org/term/1> .</p> <p>Example: the enriched graph #100 (file 100-extended.nt)</p> <p><http://ex.org/term/4> <http://ex.org/term/5> <http://ex.org/term/5> .<br><http://ex.org/term/5> <http://ex.org/pattern/occurs_in> <http://ex.org/pattern/p-v1-t5-v2> .<br><http://ex.org/term/4> <http://ex.org/pattern/bound-to-v1> <http://ex.org/pattern/p-v1-t5-v2> .<br><http://ex.org/term/5> <http://ex.org/pattern/bound-to-v2> <http://ex.org/pattern/p-v1-t5-v2> .<br><http://ex.org/term/4> <http://ex.org/pattern/occurs_in> <http://ex.org/pattern/p-t4-v1-v1> .<br><http://ex.org/term/5> <http://ex.org/pattern/bound-to-v1> <http://ex.org/pattern/p-t4-v1-v1> .<br><http://ex.org/term/4> <http://ex.org/pattern/occurs_in> <http://ex.org/pattern/p-t4-t5-v1> .<br><http://ex.org/term/5> <http://ex.org/pattern/occurs_in> <http://ex.org/pattern/p-t4-t5-v1> .<br><http://ex.org/term/5> <http://ex.org/pattern/bound-to-v1> <http://ex.org/pattern/p-t4-t5-v1> .<br><http://ex.org/term/5> <http://ex.org/pattern/occurs_in> <http://ex.org/pattern/p-t4-v1-t5> .<br><http://ex.org/term/4> <http://ex.org/pattern/occurs_in> <http://ex.org/pattern/p-t4-v1-t5> .<br><http://ex.org/term/5> <http://ex.org/pattern/bound-to-v1> <http://ex.org/pattern/p-t4-v1-t5> .<br><http://ex.org/term/5> <http://ex.org/pattern/occurs_in> <http://ex.org/pattern/p-v1-t5-t5> .<br><http://ex.org/term/4> <http://ex.org/pattern/bound-to-v1> <http://ex.org/pattern/p-v1-t5-t5> .<br><http://ex.org/term/4> <http://ex.org/pattern/bound-to-v1> <http://ex.org/pattern/p-v1-v2-v2> .<br><http://ex.org/term/5> <http://ex.org/pattern/bound-to-v2> <http://ex.org/pattern/p-v1-v2-v2> .<br><http://ex.org/term/5> <http://ex.org/pattern/occurs_in> <http://ex.org/pattern/p-v1-v2-t5> .<br><http://ex.org/term/4> <http://ex.org/pattern/bound-to-v1> <http://ex.org/pattern/p-v1-v2-t5> .<br><http://ex.org/term/5> <http://ex.org/pattern/bound-to-v2> <http://ex.org/pattern/p-v1-v2-t5> .<br><br></p> <p>For each graph pattern exists a CSV file that lists the IDs of all graphs that are matched by that pattern.For example, the file target-p-t3-t4-v1=v1-t1-t2-graph_size_2.csv lists all those graphs that are matched by the pattern t3-t4-v1=v1-t1-t2.</p> <p>Finally, there are four JSON files:</p> <p>plain-graphs_of_size_1.json, plain-graphs_of_size_2.json, enriched-graphs_of_size_1.json, enriched-graphs_of_size_2.json </p> <p>These files contain the same graphs that are also stored in the .nt-files, but allow to conveniently read in a set of graphs at once.</p> <p> </p>
Support information for HiCEGNN
<p>This is all the pre-processed data used in HiCEGNN.</p>
Supporting Information for Cholinergic Selectivity of FDA-approved and Metabolite Compounds Examined with Molecular Docking-based Virtual Screening
<p><span>Typical docking configurations, detailed docking and visualization results for representative ligands and proteins. </span></p>
HemaFAIR information leaflet
<div> <p>This is a leaflet created for the dissemination efforts as part of the HemaFAIR project. It will be distributed in networking activities such as conferences, symposiums and any training activities organsied as part of the project.</p> <p> </p> </div>
Social Media Marketing for SMEs: Leveraging Information Systems for Sales Performance
<p><span>Small and medium enterprises (SMEs) may directly interact with more clientele using social media marketing (SMM). To ensure accurate data and effective monitoring of progress, the field of SMM requires implementing a robust information system. This study examines the impact of information systems on consumer engagement in social media marketing for SMEs. This approach assesses the adoption of social media marketing using a single variable. This study employed purposive sampling to identify 129 SMEs for cross-sectional preliminary research. The preliminary research will take place around Jabodetabek in May and June of 2024, utilizing a Google Form survey. The author analyzed the data obtained from PLS-SEM using Smart PLS 3.0. This preliminary research computed Partial Least Squares (PLS) scores and performed bootstrapping. From a statistical standpoint, social media enhances the marketing effectiveness of SMEs in Indonesia. The market's efficiency and performance demonstrate the gain. This preliminary research consists of nine variables, such as, competitor pressure, affordable marketing cost, user generated content, belief in information, customer relationship, social media marketing adoption, SMEs’ marketing engagement, and sales performance, with only one hypothesis exhibiting a non-significant relationship.</span></p> <p><span>Keywords—<em>social media marketing, SMEs, information systems, marketing engagement</em></span></p>
Responses to Questionnaire - History of Information Systems Undergraduation Courses in the Central-West Region of Brazil
<p>This supplementary material, available only in Portuguese, reflects data collected through questionnaires for a survey on the history of undergraduate Information Systems programs in the states comprising Brazil's Central-West region. Six questionnaires are available with the responses, adhering to the principles of Open Science. The documents do not raise ethical concerns, as respondents granted the right to use and disclose their answers for scientific purposes.</p>
Typhoon track tracking and forecasting algorithm based on multi-source information
<p>Typhoon track tracking and forecasting algorithm based on multi-source information</p>
Supporting Information for: Characterization of fingers resulting from settling-driven gravitational instabilities through simultaneous PIV and PLIF imaging of laboratory experiments
<p>This repositery contains supporting information accompanying the submission of the manuscript entitled: "Characterization of fingers resulting from settling-driven gravitational instabilities through simultaneous PIV and PLIF imaging of laboratory experiments" by Fries, Lemus, Jarvis, Clarke, Phillips, Manzella and Bonadonna. The manuscript has been submitted on 02 December 2024 to the Journal of Geophysical Research - Solid Earth. All the files present in this repositery are described in the file "Supporting_Information_Friesetal.pdf". Please refer to that file for additional information on the data present in the repositery.</p>
Information security education: a thematic trend analysis
Open the record for dataset details and reuse information.
Supplementary Information for 'Smoke in your eyes…'
<p>The file contains pdf version of Numbers spreadsheets used for data analysis in the paper 'Smoke in your eyes: An investigation of the effects of wind power on weather trends and climate using time series analysis'.</p> <p>The supplementary data have been updated to include recalculation of the CCFs using a Python script incorporating standard function np.correlate. Errors in sheets 3-5-2 and 3-5-3 have been corrected, leading to correction of fig. 16 in the main text.</p>
Supplemental information of "Food waste utilized as resources can reduce climate and resource burdens in agrifood systems"
<p>(1) Source data (Data 1) for bootstrapping analysis to compute means and 95% CIs of carbon footprint and product metrics of food waste treatments, as well as food waste landfill emissions. The revised version incorporated the original reported carbon footprint data for different food waste managements.</p> <p>(2) Source data (Data 2) for food waste management schemes of US, EU, and China for emission estimation as well as emission mitigation analyses.</p> <p>(3) List of studies selected from a systematic literature review.</p> <p>(4) Script code and output report from STATA.</p>
Supplemental information for- In-silico evaluation of potential inhibitors against all serotypes of Dengue Virus Envelope Glycoprotein
Open the record for dataset details and reuse information.
Supplementary information provided with Murray et al.: Discovery of an Antarctic ascidian-associated uncultivated Verrucomicrobia with antimelanoma palmerolide biosynthetic potential
<p><span>The Antarctic marine ecosystem harbors a wealth of biological and chemical innovation that has risen in concert over millennia since the isolation of the continent and formation of the Antarctic circumpolar current. Scientific inquiry into the novelty of marine natural products produced by Antarctic benthic invertebrates led to the discovery of a bioactive macrolide, palmerolide A, that has specific activity against melanoma and holds considerable promise as an anticancer therapeutic. While this compound was isolated from the Antarctic ascidian <i>Synoicum adareanum</i>, its biosynthesis has since been hypothesized to be microbially mediated, given structural similarities to microbially-produced hybrid non-ribosomal peptide-polyketide macrolides. Here, we describe a metagenome-enabled investigation aimed at identifying the biosynthetic gene cluster (BGC) and palmerolide A-producing organism. A 74 Kbp candidate BGC encoding the multi-modular enzymatic machinery (hybrid Type I-<i>trans</i>-AT polyketide synthase-non-ribosomal peptide synthetase and tailoring functional domains) was identified and found to harbor key features predicted as necessary for palmerolide A biosynthesis. Surveys of ascidian microbiome samples targeting the candidate BGC revealed a high correlation between palmerolide-gene targets and a single 16S rRNA gene variant (R=0.83 – 0.99). Through repeated rounds of metagenome sequencing followed by binning contigs into metagenome-assembled genomes, we were able to retrieve a near-complete genome (10 contigs) of the BGC-producing organism, a novel verrucomicrobium within the <i>Opitutaceae</i> family that we propose here as <i>Candidatus</i> Synoicihabitans palmerolidicus. The refined genome assembly harbors five highly similar BGC copies, along with structural and functional features that shed light on the host-associated nature of this unique bacterium.</span></p>
Examining the relationship between processing fluency and memory for source information
<p>Familiarity-based processes such as processing fluency can influence memory judgements in tests of item recognition. Many conventional accounts of source memory assume minimal influence of familiarity on source memory, but recent work has suggested that source memory judgements are affected when test stimuli are processed with greater fluency as a result of priming. The present experiments investigated the relationship between fluency and the accuracy of source memory decisions. Participants studied words presented with different source attributes. During test, they identified words that gradually clarified on screen through progressive de-masking, made old/new and source memory judgements, and reported confidence ratings for those words. Response times (RTs) recorded from the item identification task formed the basis of a fluency measure, and identification RTs were compared across categories of item recognition, source accuracy, and confidence. Identification RTs were faster in trials with correct retrieval of source information compared to trials for which source could not be accurately retrieved. These findings are consistent with the assumption that familiarity-based processes can contribute to source memory judgements.</p>
Supporting Information
<p>Compiled by Andreas Wunsch, 2021<br> andreas.wunsch@kit.edu<br> ORCID ID: https://orcid.org/0000-0002-0585-9549</p> <p>License: CC BY-NC 4.0 - https://creativecommons.org/licenses/by-nc/4.0/legalcode</p> <p>This data contains supporting information for the study cited here:<br> https://github.com/AndreasWunsch/Long-Term-GWL-Simulations<br> https://doi.org/10.5281/zenodo.4683901</p> <p>Preprint of the study:<br> Andreas Wunsch, Tanja Liesch, Stefan Broda et al. <br> Deep learning shows declining groundwater levels in Germany until 2100 due to climate change, <br> 22 April 2021, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-420056/v1]</p>
Self-organization and information transfer in Antarctic krill swarms
<p>Antarctic krill swarms are one of the largest known animal aggregations, and yet, despite being the keystone species of the Southern Ocean, little is known about how swarms are formed and maintained. Understanding the local interactions between individuals that provide the basis for these swarms is fundamental to knowing how swarms arise in nature, and what potential factors might lead to their breakdown. Here we analyzed the trajectories of captive, wild-caught krill in 3D to determine individual level interaction rules and quantify patterns of information flow. Our results demonstrate that krill align with near neighbors and that they regulate both their direction and speed relative to the positions of groupmates. These results suggest social factors are vital to the formation and maintenance of swarms. Further, krill operate a novel form of collective organization, with measures of information flow and individual movement adjustments expressed most strongly in the vertical dimension, a finding not seen in other swarming species. This research represents a vital step in understanding the fundamentally important swarming behavior of krill.</p>
Figure 13 in Anatomical study of two previously undescribed specimens of Clevosaurus hudsoni (Lepidosauria: Rhynchocephalia) from Cromhall Quarry, UK, aided by computed tomography, yields additional information on the skeleton and hitherto undescribed bones
Figure 13. Photographs of Clevosaurus hudsoni specimen NHMUK PV R36832. A, partial left lateral view of the skull, showing the position of sclerotic ossicles in the orbital area. B, enlarged view of preserved sclerotic ossicles.
Figure 17 in Anatomical study of two previously undescribed specimens of Clevosaurus hudsoni (Lepidosauria: Rhynchocephalia) from Cromhall Quarry, UK, aided by computed tomography, yields additional information on the skeleton and hitherto undescribed bones
Figure 17. Photographs of Clevosaurus hudsoni specimen NHMUK PV R36832. A, gastralia in ventral view. B, enlarged view of apex of medial splint. C, enlarged view of overlap between medial and lateral splints.
Figure 10 in Anatomical study of two previously undescribed specimens of Clevosaurus hudsoni (Lepidosauria: Rhynchocephalia) from Cromhall Quarry, UK, aided by computed tomography, yields additional information on the skeleton and hitherto undescribed bones
Figure 10. Surface models of Clevosaurus hudsoni specimen NHMUK PV R36832. A, anterolateral view of skull showing surfaces of slender bones hidden within the matrix (large cranial elements shown for relative position). B, posteroventral view of (A).
Figure 18 in Anatomical study of two previously undescribed specimens of Clevosaurus hudsoni (Lepidosauria: Rhynchocephalia) from Cromhall Quarry, UK, aided by computed tomography, yields additional information on the skeleton and hitherto undescribed bones
Figure 18. Photograph and surface models of Clevosaurus hudsoni left hind limb specimen NHMUK PV R36846. Specimen in (A, B) dorsal, (C) ventral and (D) posterolateral views.
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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.