{"data":[{"id":"10.5281/zenodo.19603533","type":"dois","attributes":{"doi":"10.5281/zenodo.19603533","identifiers":[],"creators":[{"nameType":"Personal","affiliation":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications"],"givenName":"Wenjia","familyName":"Xu","name":"Xu, Wenjia","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications"],"givenName":"Xuhao","familyName":"Chen","name":"Chen, Xuhao","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications"],"givenName":"Jiaqi","familyName":"Cao","name":"Cao, Jiaqi","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Department of Computer Science, City University of Hong Kong"],"givenName":"Jiuniu","familyName":"Wang","name":"Wang, Jiuniu","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["School of Geographic Sciences, Hunan Normal University"],"givenName":"Zhiwei","familyName":"Wei","name":"Wei, Zhiwei","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Aerospace Information Research Institute, Chinese Academy of Sciences"],"givenName":"Chunbo","familyName":"Liu","name":"Liu, Chunbo","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Beijing Institute of Aerospace Control Devices"],"givenName":"Deyan","familyName":"Wang","name":"Wang, Deyan","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Beijing Institute of Aerospace Control Devices"],"givenName":"Fanchen","familyName":"Meng","name":"Meng, Fanchen","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications"],"givenName":"Mugen","familyName":"Peng","name":"Peng, Mugen","nameIdentifiers":[]}],"titles":[{"title":"A sequential UAV image dataset paired with georeferenced satellite tiles for visual geo-localization"}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[{"subject":"UAV-VisLoc"},{"subject":"visual geo-localization"},{"subject":"image retrieval"},{"subject":"GNSS-denied navigation"},{"subject":"trajectory-level dataset"},{"subject":"multimodal UAV imagery"}],"contributors":[],"dates":[{"date":"2026-11-09","dateType":"Issued"}],"language":"en","types":{"schemaOrg":"Dataset","resourceTypeGeneral":"Dataset","citeproc":"dataset","bibtex":"misc","ris":"DATA","resourceType":""},"relatedIdentifiers":[{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.19603534","relatedIdentifierType":"DOI"},{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.24082148","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":"v1.1","rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"},{"rightsUri":"http://rightsstatements.org/vocab/InC/1.0/","rights":"Copyright (C) 2026 The Authors."}],"descriptions":[{"descriptionType":"Abstract","description":"Visual geo-localization of unmanned aerial vehicles (UAVs) in GNSS-denied environments is hindered by a lack of datasets combining trajectory continuity, broad geographic coverage, multi-modal imagery, and scalable altitude variations. To address this, we present UAV-VisLoc, a dataset of 14,998 sequential UAV images in 30 flights paired with over 120,000 georeferenced satellite tiles for visual geo-localization. The images cover seven scene types, were captured at flying heights of about 160-850 m above the ground, and include both RGB and infrared images. The dataset consists of two subsets. The real-flight subset (flights 01-21, 11,476 images) was captured onboard in China. The orthoimage-derived subset (flights 22-30, 3,522 images) was cropped from OpenAerialMap orthoimages and extends the coverage to six continents. Image-level metadata and ground-truth annotations are provided. A data quality validation confirms the metadata consistency, positioning accuracy, UAV-to-satellite alignment, annotation reliability and image quality, and baseline experiments on the real-flight subset demonstrate the utility of the dataset."}],"geoLocations":[],"fundingReferences":[{"funderIdentifierType":"Crossref Funder ID","funderName":"National Natural Science Foundation of China","funderIdentifier":"10.13039/501100001809","awardNumber":"62301063"}],"url":"https://zenodo.org/doi/10.5281/zenodo.19603533","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":3,"versionOfCount":1,"created":"2026-05-18T08:15:44Z","registered":"2026-05-18T08:15:44Z","published":null,"updated":"2026-11-13T07:08:48Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.24082148","type":"dois","attributes":{"doi":"10.5281/zenodo.24082148","identifiers":[{"identifier":"oai:zenodo.org:24082148","identifierType":"oai"}],"creators":[{"nameType":"Personal","affiliation":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications"],"givenName":"Wenjia","familyName":"Xu","name":"Xu, Wenjia","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications"],"givenName":"Xuhao","familyName":"Chen","name":"Chen, Xuhao","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications"],"givenName":"Jiaqi","familyName":"Cao","name":"Cao, Jiaqi","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Department of Computer Science, City University of Hong Kong"],"givenName":"Jiuniu","familyName":"Wang","name":"Wang, Jiuniu","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["School of Geographic Sciences, Hunan Normal University"],"givenName":"Zhiwei","familyName":"Wei","name":"Wei, Zhiwei","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Aerospace Information Research Institute, Chinese Academy of Sciences"],"givenName":"Chunbo","familyName":"Liu","name":"Liu, Chunbo","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Beijing Institute of Aerospace Control Devices"],"givenName":"Deyan","familyName":"Wang","name":"Wang, Deyan","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Beijing Institute of Aerospace Control Devices"],"givenName":"Fanchen","familyName":"Meng","name":"Meng, Fanchen","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications"],"givenName":"Mugen","familyName":"Peng","name":"Peng, Mugen","nameIdentifiers":[]}],"titles":[{"title":"A sequential UAV image dataset paired with georeferenced satellite tiles for visual geo-localization"}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[{"subject":"UAV-VisLoc"},{"subject":"visual geo-localization"},{"subject":"image retrieval"},{"subject":"GNSS-denied navigation"},{"subject":"trajectory-level dataset"},{"subject":"multimodal UAV imagery"}],"contributors":[],"dates":[{"date":"2026-11-09","dateType":"Issued"}],"language":"en","types":{"schemaOrg":"Dataset","resourceTypeGeneral":"Dataset","citeproc":"dataset","bibtex":"misc","ris":"DATA","resourceType":""},"relatedIdentifiers":[{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.19603533","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":"v1.1","rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"},{"rightsUri":"http://rightsstatements.org/vocab/InC/1.0/","rights":"Copyright (C) 2026 The Authors."}],"descriptions":[{"descriptionType":"Abstract","description":"Visual geo-localization of unmanned aerial vehicles (UAVs) in GNSS-denied environments is hindered by a lack of datasets combining trajectory continuity, broad geographic coverage, multi-modal imagery, and scalable altitude variations. To address this, we present UAV-VisLoc, a dataset of 14,998 sequential UAV images in 30 flights paired with over 120,000 georeferenced satellite tiles for visual geo-localization. The images cover seven scene types, were captured at flying heights of about 160-850 m above the ground, and include both RGB and infrared images. The dataset consists of two subsets. The real-flight subset (flights 01-21, 11,476 images) was captured onboard in China. The orthoimage-derived subset (flights 22-30, 3,522 images) was cropped from OpenAerialMap orthoimages and extends the coverage to six continents. Image-level metadata and ground-truth annotations are provided. A data quality validation confirms the metadata consistency, positioning accuracy, UAV-to-satellite alignment, annotation reliability and image quality, and baseline experiments on the real-flight subset demonstrate the utility of the dataset."}],"geoLocations":[],"fundingReferences":[{"funderIdentifierType":"Crossref Funder ID","funderName":"National Natural Science Foundation of China","funderIdentifier":"10.13039/501100001809","awardNumber":"62301063"}],"url":"https://zenodo.org/doi/10.5281/zenodo.24082148","contentUrl":null,"metadataVersion":1,"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":"2026-11-09T12:55:45Z","registered":"2026-11-09T12:55:45Z","published":null,"updated":"2026-11-13T07:08:48Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5061/dryad.34tmpg51r","type":"dois","attributes":{"doi":"10.5061/dryad.34tmpg51r","identifiers":[],"creators":[{"nameType":"Personal","affiliation":["University of California, Los Angeles"],"name":"Grether, Gregory F.","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-3441-0537"}]},{"nameType":"Personal","affiliation":["Durham University"],"name":"Drury, Jonathan P.","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["University of California, Los Angeles"],"name":"Soley, Fernando","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-9849-6910"}]},{"nameType":"Personal","affiliation":["Pepperdine University"],"name":"Graf, Charles","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0009-0001-5955-8688"}]},{"nameType":"Personal","affiliation":["Pepperdine University"],"name":"Marsh, Conner","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["University of Washington"],"name":"Coates, Kathleen","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Universidad de Costa Rica"],"name":"Springer, Monika","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-0926-1322"}]},{"nameType":"Personal","affiliation":["Pepperdine University"],"name":"Green, David","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-1543-6080"}]}],"titles":[{"title":"Data and code from: Seasonal polyphenism mediates a trade-off between behavioral interference and metabolic cost of coloration"}],"publisher":"Dryad","container":{},"publicationYear":2026,"subjects":[{"schemeUri":"https://web-archive.oecd.org/2012-06-15/138575-38235147.pdf","subject":"FOS: Biological sciences","subjectScheme":"fos"},{"subject":"geographic variation"},{"subject":"interference competition"},{"subject":"phenotypic plasticity"},{"subject":"developmental plasticity"},{"subject":"Seasonal polyphenism"},{"subject":"Melanization"},{"subject":"Odonata"},{"subject":"seasonal color change"},{"subject":"Reproductive interference"},{"subject":"Evolution"}],"contributors":[{"nameType":"Personal","affiliation":["University of California, Los Angeles"],"name":"Grether, Gregory F.","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-3441-0537"}],"contributorType":"ProjectLeader"},{"nameType":"Personal","affiliation":["University of California, Los Angeles"],"name":"Grether, Gregory F.","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-3441-0537"}],"contributorType":"DataCurator"},{"nameType":"Personal","affiliation":["University of California, Los Angeles"],"name":"Grether, Gregory F.","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-3441-0537"}],"contributorType":"DataCollector"},{"nameType":"Personal","affiliation":["University of California, Los Angeles"],"name":"Grether, Gregory F.","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-3441-0537"}],"contributorType":"Researcher"},{"nameType":"Personal","affiliation":["University of California, Los Angeles"],"name":"Grether, Gregory F.","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-3441-0537"}],"contributorType":"ProjectManager"},{"nameType":"Personal","affiliation":["University of California, Los Angeles"],"name":"Grether, Gregory F.","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-3441-0537"}],"contributorType":"Researcher"},{"nameType":"Personal","affiliation":["University of California, Los Angeles"],"name":"Grether, Gregory F.","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-3441-0537"}],"contributorType":"Supervisor"},{"nameType":"Personal","affiliation":["University of California, Los Angeles"],"name":"Grether, Gregory F.","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-3441-0537"}],"contributorType":"Researcher"},{"nameType":"Personal","affiliation":["University of California, Los Angeles"],"name":"Grether, Gregory F.","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-3441-0537"}],"contributorType":"Editor"},{"nameType":"Personal","affiliation":["Durham University"],"name":"Drury, Jonathan P.","contributorType":"ProjectLeader","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Durham University"],"name":"Drury, Jonathan P.","contributorType":"DataCollector","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Durham University"],"name":"Drury, Jonathan P.","contributorType":"Researcher","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Durham University"],"name":"Drury, Jonathan P.","contributorType":"ProjectManager","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Durham University"],"name":"Drury, Jonathan P.","contributorType":"Supervisor","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Durham University"],"name":"Drury, Jonathan P.","contributorType":"Editor","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["University of California, Los Angeles"],"name":"Soley, Fernando","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-9849-6910"}],"contributorType":"DataCollector"},{"nameType":"Personal","affiliation":["University of California, Los Angeles"],"name":"Soley, Fernando","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-9849-6910"}],"contributorType":"Supervisor"},{"nameType":"Personal","affiliation":["University of California, Los Angeles"],"name":"Soley, Fernando","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-9849-6910"}],"contributorType":"Editor"},{"nameType":"Personal","affiliation":["Pepperdine University"],"name":"Graf, Charles","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0009-0001-5955-8688"}],"contributorType":"DataCollector"},{"nameType":"Personal","affiliation":["Pepperdine University"],"name":"Graf, Charles","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0009-0001-5955-8688"}],"contributorType":"Researcher"},{"nameType":"Personal","affiliation":["Pepperdine University"],"name":"Graf, Charles","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0009-0001-5955-8688"}],"contributorType":"Editor"},{"nameType":"Personal","affiliation":["Pepperdine University"],"name":"Marsh, Conner","contributorType":"DataCollector","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Pepperdine University"],"name":"Marsh, Conner","contributorType":"Editor","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["University of Washington"],"name":"Coates, Kathleen","contributorType":"DataCollector","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["University of Washington"],"name":"Coates, Kathleen","contributorType":"Editor","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Universidad de Costa Rica"],"name":"Springer, Monika","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-0926-1322"}],"contributorType":"ProjectManager"},{"nameType":"Personal","affiliation":["Universidad de Costa Rica"],"name":"Springer, Monika","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-0926-1322"}],"contributorType":"Editor"},{"nameType":"Personal","affiliation":["Pepperdine University"],"name":"Green, David","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-1543-6080"}],"contributorType":"DataCollector"},{"nameType":"Personal","affiliation":["Pepperdine University"],"name":"Green, David","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-1543-6080"}],"contributorType":"Researcher"},{"nameType":"Personal","affiliation":["Pepperdine University"],"name":"Green, David","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-1543-6080"}],"contributorType":"ProjectManager"},{"nameType":"Personal","affiliation":["Pepperdine University"],"name":"Green, David","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-1543-6080"}],"contributorType":"Supervisor"},{"nameType":"Personal","affiliation":["Pepperdine University"],"name":"Green, David","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-1543-6080"}],"contributorType":"Editor"},{"nameType":"Personal","affiliation":["University of California, Los Angeles"],"name":"Grether, Gregory F.","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-3441-0537"}],"contributorType":"ContactPerson"}],"dates":[{"date":"2026-08-21T19:38:45Z","dateType":"Created"},{"date":"2026-11-03T17:41:34Z","dateType":"Submitted"},{"date":"2026-11-12T00:00:00Z","dateType":"Issued"},{"date":"2026-11-12T00:00:00Z","dateType":"Available"}],"language":"en","types":{"schemaOrg":"Dataset","resourceTypeGeneral":"Dataset","citeproc":"dataset","bibtex":"misc","ris":"DATA","resourceType":"dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["245566489 bytes"],"formats":[],"version":"5","rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Zero v1.0 Universal","rightsIdentifier":"cc0-1.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Seasonal polyphenism is a type of developmental plasticity that can enable\n short-lived organisms to express different phenotypes at different times\n of year and thereby adapt to predictable environmental variation. Some are\n well studied, but most seasonal polyphenisms are unsolved puzzles about\n how evolution works. In parts of their geographic range, smoky rubyspot\n damselflies (Hetaerina titia) exhibit wing coloration shifts so extreme\n that seasonal variants were once considered different species. Melanic\n individuals benefit from reduced interference with sympatric congeners by\n virtue of their distinctive coloration. To examine whether the metabolic\n cost of wing melanization changes seasonally, we sampled 24 populations in\n Costa Rica over three years and quantified whole-organism energy budgets\n using validated biochemical assays. On the Caribbean versant, where the\n seasonal shift to melanic wings occurs, energetic condition increased in\n parallel with melanization, while no such change occurred in\n Pacific-versant populations, which are effectively monophenic,\n non-melanic. Consistent with the existence of a metabolic constraint, wing\n melanization correlated positively with lipid reserves, and the variance\n in lipid reserves was lowest on the Caribbean versant when melanic\n phenotypes predominate. These findings clearly support the metabolic cost\n hypothesis and provide a novel example of how developmental plasticity\n expands the scope of natural selection."},{"descriptionType":"TechnicalInfo","description":"# Data and code from: Seasonal polyphenism mediates a trade-off between\n behavioral interference and metabolic cost of coloration Dataset DOI:\n [10.5061/dryad.34tmpg51r](https://doi.org/10.5061/dryad.34tmpg51r) ##\n Description of the data and file structure This data repository consists\n of two data files (.csv), eight R scripts (.R), 14 raw images, and this\n README document. It contains the data and code required to reproduce the\n statistical analyses, tables, and figures in the main document and results\n supplement, as well as output for comparing models and assessing model\n fit. The user only needs to run the script 'Chem analyses.R',\n which runs all of the analyses and generates folders for organizing the\n output. To work without modification: (1) the .csv and .R files must be in\n the same folder, and (2) the R console must be launched by opening\n 'Chem analyses.R' (the script has not been tested in RStudio).\n After the 'Data prep' section of 'Chem analyses.R',\n most remaining blocks of code can be run in any order. The only exception\n is the Figure 3 code, which requires files generated by the preceding\n code. ## Files and their contents #### **File 1: raw_image_examples.zip**\n **Description:** Sample of 14 raw images representative of those used for\n measuring wing areas. #### **File 2: data_and_code.zip** **(1) Chem\n data.csv** ``` Description: the data required for running the most of the\n analyses Variables: Date specimen collection date Season Early\n (March-April) or late (June-July) Region Pacific or Atlantic slope of\n Costa Rica (referred to as versant in the manuscript) Drainage River\n drainage in which the collection site is located Site_code Alphanumeric\n code for the collection site Site_codeN Numerical code for the site\n Specimen_code Alphanumeric code for the specimen Locality_name Local name\n of the site mass mass of the specimen in mg thorax.width.avg mean of three\n thorax width measurements abdomen.length.avg mean of three abdomen length\n measurements Wing_area total wing area in square millimeters Wing_loading\n mass divided by wing area Protein_mass protein mass in mg Carb_mass\n glucose mass in mg Glyc_mass glycogen mass in mg Lipid_mass lipid mass in\n mg hw_mel_p melanized proportion of hindwing fw_mel_p melanized proportion\n of forewing tot_mel_p total melanized proportion of wings Protein_J\n protein energy equivalent in joules Carb_J glucose energy equivalent in\n joules Glyc_J glycogen energy equivalent in joules Lipid_J lipid energy\n equivalent in joules Total_J total energy equivalent in joules\n Protein_J_fraction protein fraction of total energy Carb_J_fraction\n glucose fraction of total energy Glyc_J_fraction glycogen fraction of\n total energy Lipid_J_fraction lipid fraction of total energy lipid_zeros\n indicator for left-censoring ``` **(2) Chem energy fraction vars\n stacked.csv** ``` Description: a subset of Chem data.csv reorganized for\n the energy composition analysis Variables: Class macromolecule class\n (Protein, Glucose, Glycogen, Lipid) Energy_fraction energy fraction Other\n variables: as described for Chem data.csv ``` **(3) Chem site coordinates\n and sampling dates.csv** ``` Description: the data used to generate Table\n S1 Versant Pacific or Caribbean slope of Costa Rica Drainage River\n drainage in which the collection site is located Site_code Alphanumeric\n code for the collection site Locality_name Local name of the site Latitude\n Latitude in decimal degrees (WGS84 datum) Longitude Longitude in decimal\n degrees (WGS84 datum) gps_elevation_m Elevation of the site as estimated\n by GPS Early_sampling_date Early season sampling date Late_sampling_date\n Late season sampling date ``` #### Code/R scripts To reproduce the\n statistical analyses, tables, and figures in the main document and results\n supplement, as well as output for comparing models and assessing model\n fit, the user only needs to run the script 'Chem analyses.R'.\n The other R scripts contain functions and settings required by 'Chem\n analyses.R'. To work without modification: (1) the .csv and .R files\n must be in the same folder, and (2) the R console must be launched by\n opening 'Chem analyses.R' (the script has not been tested in\n RStudio). After the 'Data prep' section of 'Chem\n analyses.R', most remaining blocks of code can be run in any order.\n The only exception is the Figure 3 code, which requires files generated by\n the preceding code. (1) Chem analyses.R ``` master R script that runs all\n of the analyses and creates folders of output including tables and figures\n ``` (2) Chem GLMM brms functions.R ``` functions required for running\n Bayesian regression models using 'Stan' ``` (3) Chem mean and\n slope contrasts.R ``` functions required for calculating estimated\n marginal mean and slope contrasts ``` (4) Chem model comparison and\n diagnostics.R ``` functions required for model comparisons and diagnostics\n ``` (5) Chem settings.R ``` global settings and miscellaneous functions\n required by Chem analyses.R ``` (6) Chem variance contrasts.R ```\n functions for generating variance contrasts ``` (7) Chem figures from\n rds.R ``` functions required for generating the final figures from saved\n output ``` (8) Chem tables from rds.R ``` functions required for\n generating the final tables from saved output ``` (9) Chem site\n elevation.R ``` function required for obtaining elevation estimates from\n the Digital Elevation Model (DEM) of Costa Rica ``` #### SOFTWARE VERSIONS\n 'R' version 4.5.0 R packages: ‘bayesplot’ version 1.13.0\n ‘bayestestR’ version 0.15.3 ‘brms’ version 2.22.0 ‘car’ version 3.1-3\n ‘caret’ version 7.0-1 ‘datawizard’ version 1.2.0 ‘DHARMa’ version 0.4.7\n ‘dplyr’ version 1.1.4 'elevatr' version 0.99.1 ‘emmeans’ version\n 1.11.2 ‘flextable’ version 0.9.11 ‘ggfortify’ version 0.4.18 ‘ggplot2’\n version 3.5.2 ‘here’ version 1.0.1 ‘MuMIn’ version 1.48.11 ‘partR2’\n version 0.9.2 ‘patchwork’ version 1.3.1 ‘posterior’ version 1.7.0 ‘purrr’\n version 1.2.2 ‘readr’ version 2.1.5 ‘scales’ version 1.4.0 ‘sf’ version\n 1.1-0 ‘sp’ version 2.2-0 ‘terra’ version 1.9-34 ‘tibble’ version 3.2.1"}],"geoLocations":[],"fundingReferences":[{"funderIdentifierType":"ROR","funderName":"U.S. National Science Foundation","funderIdentifier":"https://ror.org/021nxhr62"}],"url":"https://datadryad.org/dataset/doi:10.5061/dryad.34tmpg51r","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2026-11-12T06:56:55Z","registered":"2026-11-12T06:56:56Z","published":null,"updated":"2026-11-13T06:42:33Z"},"relationships":{"client":{"data":{"id":"dryad.dryad","type":"clients"}}}},{"id":"10.5281/zenodo.21940649","type":"dois","attributes":{"doi":"10.5281/zenodo.21940649","identifiers":[],"creators":[{"nameType":"Personal","affiliation":["Three Gorges Laboratory, Chongqing 400714, China; 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The systems serve low-pressure chemical vapor deposition (LPCVD) furnaces identified as Tubes 3, 6, and 9. The sensor data cover July 2, 2021, through April 5, 2025, in local time (America/Indiana/Indianapolis), with intermittent coverage; maintenance and equipment records extend back to 2019.\n\nA data description paper presenting this dataset and its baseline analysis has been submitted to ASME MSEC 2027 and is under review as of November 12, 2026.\n\nThe sound data comprise 175,733 mono WAV recordings sampled at 48 kHz, each approximately 2 seconds long and scheduled at 30-minute intervals. Sound was collected using an Internal Sound Sensor (ISS), consisting of a stethoscope coupled to a USB microphone and attached to the system frame. Temperature measurements cover the pump bearing, blower bearing, exhaust, and heat exchanger, with a median recorded interval of 57 seconds.\n\nSupporting metadata document equipment identities, installation histories, maintenance events, and inspection observations. The release includes timestamps, file indexes, and temperature quality-control flags. Sound is packaged into ZIP archives that preserve the recording paths. The dataset supports research on long-term condition monitoring, maintenance-related changes, and multimodal analysis. Coverage gaps, timestamp ambiguities, and measurement limitations are documented in the README. 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Third-party reduced data and code used during the analysis are not included; DEPOSIT_SCOPE.md lists them and the affected scripts. README.md maps each figure and quoted number to its script and log.\n\nCode: MIT licence (LICENSE); data and figures: CC BY 4.0 (LICENSE-DATA.md).\n\nFunding: MTC YIRG M24N8c0110; Japan Singapore Grant R25J4IR115; NRF CRP33-2025-0068; A*STAR Q.InC SRTT C230917009; SNSF 200021_228473; EU MSCA 101274202 (ALMAG); Royal Society NIF\\R1\\231506.\n\nv1.1 (2026-11-13): author list updated (N. 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