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The hurricanes led to damages of an estimated value \u003e $200billion. The Nearshore Extreme Events Reconnaissance Association (NEER) and the Geotechnical Extreme Events Reconnaissance Association (GEER) represented by their members from more than 10 academic institutions, federal agencies, and industry and supported by technical staff from the NHERI RAPID facility and the UF Center for Coastal Solutions initiated on Sept 23 a data collection effort. The field data collection that included pre-, during-, and post-storm multi-disciplinary data. was concluded on Nov 22. Data includes hydraulic information on storm surge, waves, and currents, topographic and bathymetric data sets, terrestrial and seabed mapping, and geotechnical site characterization including in-situ testing, sediment sampling, and seismic testing. Data was collected in four focus areas in Florida (Cedar Key; Horseshoe Beach; Midnight Pass and Milton Pass, both near Venice), and observational data and limited data products were collected in other areas in Florida including Orchid, Ponte Vedra, Suwannee, and others. Data is organized by four primary sites and others; data collection phase with respect to the two hurricanes; and instruments or data collection method. Published datasets include at this time mostly raw data and metadata, and some processed products. Additional processed products will be made available via versioning expected to be published on a quarterly bases until the end of 2025. An overview of data collection procedures regarding data collected by the UW NHERI RAPID facility is provided in the Collection \"Overall RAPID Metadata\". A spatial overview of the survey areas is provided through HazMapper.\n\nThe datasets published in this project are considered unique in terms of volume, details, multi-disciplinary nature, and by featuring pre-storm, during-storm, and post-storm data products. Data was collected by experts from the fields of coastal engineering, geotechnical engineering, structural engineering, physical oceanography, geosciences, and geophysics in a collaborative manner through two main phases of joint field data collection. The multi-disciplinary nature of the datasets - including information about hydrodynamics, geomorphology, and detailed soil characterization - enables a comprehensive reflection of governing processes leading to infrastructure impacts from water processes during the hurricanes. The collection of pre-, during-, and post-changes enables to draw data-based relations between impacts, change and the governing processes, and different drivers.\n\nThe project PIs envision that the datasets are  of interest to a wide range of users studying coastal processes, the interaction of storm surge and storm waves with the built environment and infrastructure, soil-water interaction and resulting sediment dynamics and instability, and in hurricane damage analysis. Data may serve as base for case studies, and/or for calibration or validation of numerical models, to name just a few possible applications. \n\nThe data collection effort was coordinated by the lead PIs (Nina Stark, UF, and Michael Gardner, UCDavis) and the NHERI RAPID operations manager (Michael Grilliot, UW NHERI RAPID) with the goals to collect comprehensive, multi-disciplinary, and pre-, during-, and post-data. Focus sites were chosen based on pre-existing datasets and predicted storm impacts, as well as observed storm impacts. Data collection strategies were developed based on site specific conditions, data needs, team member expertise, and instrument availability. Scientific and engineering expert team members were supported in logistics and instrument operations by technical staff of the UF Center for Coastal Solutions and of the UW NHERI RAPID facility. Many data collection sites were made accessible by private community members who provided access to the research team.\n\nDetailed information about these datasets is in the published Data Report \n","descriptionType":"Abstract"},{"lang":"en-Us","description":"In Fall of 2024, central Florida was impacted by Hurricane Helene (landfall in Perry, FL as a Cat 4 hurricane on Sept 27) and by Hurricane Milton (landfall in Siesta Key, FL as Cat 3 on Oct 9). The hurricanes led to damages of an estimated value \u003e $200billion. The Nearshore Extreme Events Reconnaissance Association (NEER) and the Geotechnical Extreme Events Reconnaissance Association (GEER) represented by their members from more than 10 academic institutions, federal agencies, and industry and supported by technical staff from the NHERI RAPID facility and the UF Center for Coastal Solutions initiated on Sept 23 a data collection effort that included pre-, during-, and post-storm multi-disciplinary data collections efforts. The field data collection effort was concluded on Nov 22. Data includes hydraulic information on storm surge, waves, and currents, topographic and bathymetric data sets, terrestrial and seabed mapping, and geotechnical site characterization including in-situ testing, sediment sampling, and seismic testing. Data was collected in four focus areas in Florida (Cedar Key; Horseshoe Beach; Midnight Pass and Milton Pass, both near Venice) and observational data and limited data products were collected in other areas in Florida including Orchid, Ponte Vedra, Suwannee, Panama City, and others. Data is organized by site (four primary sites and others); data collection phase with respect to the two hurricanes; and instruments or data collection method. \n\nThis work included support from both the UF Center for Coastal Solutions and the NHERI RAPID facility.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[{"awardTitle":"CoPe EAGER: Nearshore Extreme Events Reconnaissance (NEER) Association","funderName":"NSF","awardNumber":"1939275"},{"awardTitle":"Geotechnical Extreme Events Reconnaissance (GEER)","funderName":"NSF","awardNumber":"1826118"},{"awardTitle":"Natural Hazards Engineering Research Infrastructure: Post-Disaster, Rapid Response Research (RAPID) Facility","funderName":"NSF","awardNumber":"2130997"},{"awardTitle":"RAPID: Quantification of Sediment Erosion and Deposition, Debris Accumulation, and Associated Damages to the Built Environment from Storm Surge and Waves during Hurricane Helene","funderName":"NSF","awardNumber":"2501467"}],"url":"https://www.designsafe-ci.org/data/browser/public/designsafe.storage.published/PRJ-5667/#detail-f87398d7-47ff-44c5-9d32-df255b82c67e/?version=2","contentUrl":null,"metadataVersion":6,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":1244,"downloadCount":279,"referenceCount":0,"citationCount":2,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2025-01-31T06:56:30Z","registered":"2025-01-31T06:56:31Z","published":null,"updated":"2026-04-14T02:48:57Z"},"relationships":{"client":{"data":{"id":"tdl.tacc","type":"clients"}}}},{"id":"10.5281/zenodo.19492153","type":"dois","attributes":{"doi":"10.5281/zenodo.19492153","identifiers":[{"identifier":"oai:zenodo.org:19492153","identifierType":"oai"}],"creators":[{"name":"Coupe, Elliot","nameType":"Personal","givenName":"Elliot","familyName":"Coupe","affiliation":["Griffith University"],"nameIdentifiers":[{"nameIdentifier":"0000-0002-8383-3715","nameIdentifierScheme":"ORCID"}]},{"name":"Steven, Kaiah","nameType":"Personal","givenName":"Kaiah","familyName":"Steven","affiliation":["Griffith University"],"nameIdentifiers":[{"nameIdentifier":"0000-0002-2137-0401","nameIdentifierScheme":"ORCID"}]},{"name":"Paz-Silva, Gerardo","nameType":"Personal","givenName":"Gerardo","familyName":"Paz-Silva","affiliation":["Griffith University"],"nameIdentifiers":[{"nameIdentifier":"0000-0003-0006-0380","nameIdentifierScheme":"ORCID"}]},{"name":"Qi, Yu","nameType":"Personal","givenName":"Yu","familyName":"Qi","nameIdentifiers":[{"nameIdentifier":"0000-0002-4354-2083","nameIdentifierScheme":"ORCID"}],"affiliation":[]}],"titles":[{"title":"Dataset for: Control-centric quantum noise spectroscopy of time-ordered polyspectra"}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[{"subject":"quantum noise spectroscopy"},{"subject":"open quantum systems"},{"subject":"qubit"}],"contributors":[],"dates":[{"date":"2026-04-10","dateType":"Issued"},{"date":"2026-04-09","dateType":"Submitted"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"arXiv:2604.07682","resourceTypeGeneral":"Preprint","relatedIdentifierType":"arXiv"},{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.19492152","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":"1.0.0","rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Numerical simulation data supporting all figures in the manuscript \"Control-centric quantum noise spectroscopy of time-ordered polyspectra\" by Steven, Coupe, Yu \u0026 Paz-Silva (PRX Quantum, under review 2026). 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Theory and reconstruction for real and imaginary components of the zzz and xzz projections of the time-ordered bispectrum\n\ncontrol_sequences/ — Pulse parameters for all control sequences used in the bispectrum reconstructions, as tabulated in the manuscript appendix.\n\nA full README.md describing column formats, units, and figure correspondence is included in the archive.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[{"funderName":"Australian Research Council","funderIdentifier":"10.13039/501100000923","funderIdentifierType":"Crossref Funder ID"}],"url":"https://zenodo.org/doi/10.5281/zenodo.19492153","contentUrl":null,"metadataVersion":3,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":1,"created":"2026-04-13T05:37:16Z","registered":"2026-04-13T05:37:16Z","published":null,"updated":"2026-04-14T02:47:16Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.19492152","type":"dois","attributes":{"doi":"10.5281/zenodo.19492152","identifiers":[],"creators":[{"name":"Coupe, Elliot","nameType":"Personal","givenName":"Elliot","familyName":"Coupe","affiliation":["Griffith University"],"nameIdentifiers":[{"nameIdentifier":"0000-0002-8383-3715","nameIdentifierScheme":"ORCID"}]},{"name":"Steven, Kaiah","nameType":"Personal","givenName":"Kaiah","familyName":"Steven","affiliation":["Griffith University"],"nameIdentifiers":[{"nameIdentifier":"0000-0002-2137-0401","nameIdentifierScheme":"ORCID"}]},{"name":"Paz-Silva, Gerardo","nameType":"Personal","givenName":"Gerardo","familyName":"Paz-Silva","affiliation":["Griffith University"],"nameIdentifiers":[{"nameIdentifier":"0000-0003-0006-0380","nameIdentifierScheme":"ORCID"}]},{"name":"Qi, Yu","nameType":"Personal","givenName":"Yu","familyName":"Qi","nameIdentifiers":[{"nameIdentifier":"0000-0002-4354-2083","nameIdentifierScheme":"ORCID"}],"affiliation":[]}],"titles":[{"title":"Dataset for: Control-centric quantum noise spectroscopy of time-ordered polyspectra"}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[{"subject":"quantum noise spectroscopy"},{"subject":"open quantum systems"},{"subject":"qubit"}],"contributors":[],"dates":[{"date":"2026-04-10","dateType":"Issued"},{"date":"2026-04-09","dateType":"Submitted"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"arXiv:2604.07682","resourceTypeGeneral":"Preprint","relatedIdentifierType":"arXiv"},{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.19492152","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":"1.0.0","rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Numerical simulation data supporting all figures in the manuscript \"Control-centric quantum noise spectroscopy of time-ordered polyspectra\" by Steven, Coupe, Yu \u0026 Paz-Silva (PRX Quantum, under review 2026). 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Theory and reconstruction for real and imaginary components of the zzz and xzz projections of the time-ordered bispectrum\n\ncontrol_sequences/ — Pulse parameters for all control sequences used in the bispectrum reconstructions, as tabulated in the manuscript appendix.\n\nA full README.md describing column formats, units, and figure correspondence is included in the archive.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[{"funderName":"Australian Research Council","funderIdentifier":"10.13039/501100000923","funderIdentifierType":"Crossref Funder ID"}],"url":"https://zenodo.org/doi/10.5281/zenodo.19492152","contentUrl":null,"metadataVersion":3,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":2,"versionOfCount":1,"created":"2026-04-13T05:37:17Z","registered":"2026-04-13T05:37:17Z","published":null,"updated":"2026-04-14T02:47:16Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.18253806","type":"dois","attributes":{"doi":"10.5281/zenodo.18253806","identifiers":[],"creators":[{"name":"Huang, Ye","nameType":"Personal","givenName":"Ye","familyName":"Huang","affiliation":["The First Affiliated Hospital of Nanchang University"],"nameIdentifiers":[{"nameIdentifier":"0000-0002-6952-3817","nameIdentifierScheme":"ORCID"}]}],"titles":[{"title":"Phenotypic Heterogeneity and Genetic Mechanisms of Phage Resistance in Hypervirulent Carbapenem-Resistant Klebsiella pneumoniae"}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[],"contributors":[],"dates":[{"date":"2026-01-15","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.18253806","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Phage resistance poses a major barrier to the clinical application of phage therapy against multidrug-resistant bacterial pathogens. 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To circumvent the resistance, we isolated a secondary phage, K2V3, which specifically targets resistant strains with wcaJ mutation. The rationally designed phage cocktail of Kpph1 and K2V3 effectively suppressed all resistant variants and restricted the emergence of resistance. 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A comprehensive understanding of the phenotypic heterogeneity and underlying molecular mechanisms of phage resistance is essential for deciphering bacterium-phage interactions and optimizing therapeutic strategies. In this study, we identified four distinct resistance phenotypes in K2-serotype hypervirulent carbapenem-resistant Klebsiella pneumoniae (CR-hvKP) under phage Kpph1 pressure. These resistant strains exhibit complete or partial resistance, possess varying degrees of fitness costs and harbor various genetic mutations, suggesting the multifaceted resistance strategies including receptor masking, growth inhibition, and community resistance. Among these, wcaJ mutations was identified and confirmed as the predominant resistance mechanism, mainly resulting from base insertions and integrations of mobile genetic elements, serving as an efficient pre-adaptive strategy for CR-hvKP to evade phage infection. To circumvent the resistance, we isolated a secondary phage, K2V3, which specifically targets resistant strains with wcaJ mutation. The rationally designed phage cocktail of Kpph1 and K2V3 effectively suppressed all resistant variants and restricted the emergence of resistance. 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The dataset includes both simulated reference points (SRPs) and actual survey point data collected from three agricultural study sites (Farm 1, Farm 2, and Farm 3).\n\nThe data combines BioCondition scores, bird species presence-absence records, vegetation indices (Enhanced Vegetation Index - EVI, and Fractional Vegetation Cover - FVC), and landscape-level patch attributes including connectivity, context, and patch size measurements.\n\nData Collection:- Three agricultural study sites with varying ecological conditions- Bird species presence-absence data collected using passive acoustic monitoring from multiple points per site and from existing eBird datasets- Vegetation indices derived from satellite imagery (step interval and regression values)- Landscape metrics calculated for different high-condition patch size scenarios (8,000-10,000ha, 80,000-100,000ha, 480,000-500,000ha)\n\nFiles Included:- SRP datasets for each farm (simulated reference points)- Survey datasets for each farm (actual survey points)\n\nThis dataset accompanies the R code repository for BioCondition prediction modeling and is designed for ecological condition assessment and predictive modeling applications.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[{"funderName":"Meat \u0026 Livestock Australia","funderIdentifier":"10.13039/501100001054","funderIdentifierType":"Crossref Funder ID"}],"url":"https://zenodo.org/doi/10.5281/zenodo.15718297","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":1,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":1,"created":"2025-06-23T05:45:49Z","registered":"2025-06-23T05:45:50Z","published":null,"updated":"2026-04-14T01:34:15Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.3886/e246952v2","type":"dois","attributes":{"doi":"10.3886/e246952v2","identifiers":[],"creators":[{"name":"CoMeCT (Coordination Mechanism for Cohorts and Trials)","nameType":"Organizational","affiliation":[],"nameIdentifiers":[]},{"name":"Maxwell, Lauren","nameType":"Personal","givenName":"Lauren","familyName":"Maxwell","affiliation":["Universitätsklinikum Heidelberg/European Clinical Research Alliance on Infectious Diseases (Ecraid)"],"nameIdentifiers":[]}],"titles":[{"lang":"en","title":"Cohorts as Catalysts: Stakeholder Perspectives on Strengthening EU Pandemic Preparedness Through Cohort-Trial Synergies - Dataset"}],"publisher":"ICPSR - Interuniversity Consortium for Political and Social Research","container":{},"publicationYear":2026,"subjects":[],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":[],"version":"v2","rightsList":[],"descriptions":[{"lang":"en","description":"The CoMeCT (Coordination Mechanism for Cohorts and Trials) project aims to strengthen the harmonisation and integration of cohort studies and clinical trials (CTs) to improve research responses to (re)emerging infectious diseases. 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