{"data":[{"id":"10.18739/a2cf9j86k","type":"dois","attributes":{"doi":"10.18739/a2cf9j86k","identifiers":[],"creators":[{"name":"Miller, Madelyn","nameType":"Personal","givenName":"Madelyn","familyName":"Miller","affiliation":[],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0009-0009-3785-9218","nameIdentifierScheme":"ORCID"}]}],"titles":[{"lang":"en","title":"Coastal deltas limit dissolved black carbon export despite changing wildfire regimes in a major Arctic watershed (Yukon River, Alaska), 2019-2023"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2026,"subjects":[{"lang":"en","subject":"black carbon"},{"lang":"en","subject":"Arctic rivers"},{"lang":"en","subject":"wildfire"},{"lang":"en","subject":"organic carbon"},{"lang":"en","subject":"delta"},{"lang":"en","subject":"biogeochemistry"},{"lang":"en","subject":"DOC"},{"lang":"en","subject":"Yukon River"},{"lang":"en","subject":"Bering Sea"},{"lang":"en","subject":"coastal processes"},{"lang":"en","subject":"spring freshet"},{"lang":"en","subject":"benzenepolycarboxylic acid"},{"lang":"en","subject":"BPCA"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"As the climate changes, fire regimes at northern high latitudes are shifting, which may alter the distribution and sequestration of carbon on land, in rivers, and in the ocean. However, dissolved black carbon dynamics (DBC) within the land-ocean continuum and amid such rapidly changing wildfire regimes are poorly understood. In summer 2022, the Yukon River watershed experienced its second highest fire year on record. This dataset includes dissolved organic carbon (DOC) quantities and DBC quantities, character, and compound-specific stable carbon isotopes of Yukon River Delta and Bering Sea water (Alaska, USA), collected during the spring freshets of 2019 and 2023, as well as late summer 2022. DBC was analyzed using the benzenepolycarboxylic acid (BPCA) method.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A2CF9J86K","contentUrl":null,"metadataVersion":0,"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":"2026-06-03T18:56:30Z","registered":"2026-06-03T18:56:31Z","published":null,"updated":"2026-06-03T18:56:31Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a2h70830w","type":"dois","attributes":{"doi":"10.18739/a2h70830w","identifiers":[],"creators":[{"name":"Kelsey, Katharine","nameType":"Personal","givenName":"Katharine","familyName":"Kelsey","affiliation":["University of Colorado Denver"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-4631-8538","nameIdentifierScheme":"ORCID"}]},{"name":"Beard, Karen","nameType":"Personal","givenName":"Karen","familyName":"Beard","affiliation":["Utah State University"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-4997-2495","nameIdentifierScheme":"ORCID"}]},{"name":"Leffler, A. Joshua","nameType":"Personal","givenName":"A. Joshua","familyName":"Leffler","affiliation":["South Dakota State University"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-3389-2493","nameIdentifierScheme":"ORCID"}]}],"titles":[{"lang":"en","title":"Greenhouse Gas Emissions in Coastal Tundra Heath Under Experimental Flooding and Warming (Yukon–Kuskokwim Delta, Alaska, 2022–2024)"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2026,"subjects":[{"lang":"en","subject":"land-atmosphere exchange"},{"lang":"en","subject":"carbon dioxide flux"},{"lang":"en","subject":"methane flux"},{"lang":"en","subject":"sea level rise"},{"lang":"en","subject":"climate change"},{"lang":"en","subject":"Open topped chamber (OTC)"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"High latitude coastal tundra regions face increasing threats from climate warming and altered flooding regimes, but the effects of warming and flooding on greenhouse gas exchange from these regions remains largely unknown. We experimentally examined how increased tidal flooding, under both ambient and elevated temperatures, influences summer-long greenhouse gas fluxes including ecosystem respiration, net ecosystem exchange and net methane flux. We conducted an experiment across three summers (2022-2024) in a low-Arctic coastal tundra heath of the Yukon-Kuskokwim Delta (Alaska) – one of the largest high-latitude riverine deltas in North America. In May 2022, soon after snowmelt, we selected seven blocks within the focal tundra heath. Each block contained six plots, for a total of 42 plots. Plots within blocks were randomly assigned to a factorial combination of experimental monthly tidal floods (three levels: no-flooding, low-intensity flooding, and high-intensity flooding) and experimental warming (two levels: ambient and higher temperatures). During the summer of 2024 we measured greenhouse gas responses of ecosystem respiration, net ecosystem exchange and net methane flux.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A2H70830W","contentUrl":null,"metadataVersion":0,"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":"2026-05-29T23:11:06Z","registered":"2026-05-29T23:11:07Z","published":null,"updated":"2026-05-29T23:11:07Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a2n00zw47","type":"dois","attributes":{"doi":"10.18739/a2n00zw47","identifiers":[],"creators":[{"name":"Roy, Austin","nameType":"Personal","givenName":"Austin","familyName":"Roy","affiliation":["University of Texas at El Paso"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-2519-6455","nameIdentifierScheme":"ORCID"}]},{"name":"McLaren, Jennie","nameType":"Personal","givenName":"Jennie","familyName":"McLaren","affiliation":["University of Texas at El Paso"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-2004-4783","nameIdentifierScheme":"ORCID"}]}],"titles":[{"lang":"en","title":"Fecal nutrients, fecal decomposition, and plant tissue nutrients from a brown lemming diet study near Utqiagvik, Alaska (2018-2020)"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2026,"subjects":[{"lang":"en","subject":"zoogeochemistry"},{"lang":"en","subject":"herbivory"},{"lang":"en","subject":"diet"},{"lang":"en","subject":"population cycle"},{"lang":"en","subject":"tundra"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"We analyzed the nutrient concentration of feces from wild captured lemmings at different phases of the population cycle (growing season and year); examined seasonal changes (periods of the growing season) in the nutrient concentration of the forage species of lemmings; evaluated whether feces from lemmings experimentally fed different diets differ in nutrient concentration; examined if feces from animals experimentally fed different diets affect plant biomass and nutrients in a greenhouse experiment and under in situ conditions; and studied the decomposition and nutrient loss from feces over time. Fecal samples and plant tissue samples were assessed for total % carbon, nitrogen, and phosphorus. We also collected above ground biomass data from the greenhouse experiment and fecal mass and decay rates from the decomposition experiment.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A2N00ZW47","contentUrl":null,"metadataVersion":0,"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":"2026-05-29T23:04:48Z","registered":"2026-05-29T23:04:49Z","published":null,"updated":"2026-05-29T23:04:49Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a2rr1pp82","type":"dois","attributes":{"doi":"10.18739/a2rr1pp82","identifiers":[],"creators":[{"name":"Smith, M. Isabel","nameType":"Personal","givenName":"M. Isabel","familyName":"Smith","affiliation":["University of Southern California"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0009-0002-9170-7222","nameIdentifierScheme":"ORCID"}]},{"name":"Anadu, Joshua","nameType":"Personal","givenName":"Joshua","familyName":"Anadu","affiliation":["California Institute of Technology"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-5932-6334","nameIdentifierScheme":"ORCID"}]},{"name":"Berelson, William","nameType":"Personal","givenName":"William","familyName":"Berelson","affiliation":["University of Southern California"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-1526-3802","nameIdentifierScheme":"ORCID"}]},{"name":"Fischer, Woodward W.","nameType":"Personal","givenName":"Woodward W.","familyName":"Fischer","affiliation":["California Institute of Technology"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-8836-3054","nameIdentifierScheme":"ORCID"}]},{"name":"Ke, Yutian","nameType":"Personal","givenName":"Yutian","familyName":"Ke","affiliation":["California Institute of Technology"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-9098-9419","nameIdentifierScheme":"ORCID"}]},{"name":"Lamb, Michael P.","nameType":"Personal","givenName":"Michael P.","familyName":"Lamb","affiliation":["California Institute of Technology"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-5701-0504","nameIdentifierScheme":"ORCID"}]},{"name":"Magyar, John S.","nameType":"Personal","givenName":"John S.","familyName":"Magyar","affiliation":["California Institute of Technology"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-3586-8286","nameIdentifierScheme":"ORCID"}]},{"name":"Mullahoo, James","nameType":"Personal","givenName":"James","familyName":"Mullahoo","affiliation":["California Institute of Technology"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-5469-4066","nameIdentifierScheme":"ORCID"}]},{"name":"Mutter, Edda A.","nameType":"Personal","givenName":"Edda A.","familyName":"Mutter","affiliation":["Yukon River Inter-Tribal Watershed Council"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-1681-8080","nameIdentifierScheme":"ORCID"}]},{"name":"Ramesh, Shreya","nameType":"Personal","givenName":"Shreya","familyName":"Ramesh","affiliation":["University of Southern California"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0009-0002-5616-076X","nameIdentifierScheme":"ORCID"}]},{"name":"West, A. Joshua","nameType":"Personal","givenName":"A. Joshua","familyName":"West","affiliation":["University of Southern California"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-6909-1471","nameIdentifierScheme":"ORCID"}]}],"titles":[{"lang":"en","title":"Geochemical River Water Times Series (2023-2025) from Four Locations in the Yukon River Basin"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2026,"subjects":[{"lang":"en","subject":"Arctic"},{"lang":"en","subject":"River Water"},{"lang":"en","subject":"Major ions"},{"lang":"en","subject":"Geochemistry"},{"subject":"FOS: Earth and related environmental sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"lang":"en","subject":"Organic Carbon"},{"lang":"en","subject":"Time Series"},{"lang":"en","subject":"Water Isotopes"},{"lang":"en","subject":"Inorganic Carbon"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"This dataset contains river water geochemical measurements collected from four locations (Huslia, Alakanuk, Eagle Village, and the Yukon Flats) along the Yukon River between 2023 and 2025. It includes a broad suite of parameters used to characterize freshwater chemistry and hydrological processes, including major cations (calcium, potassium, magnesium, sodium, strontium, and silicon) and major anions (chlorine, fluorine, nitrate, nitrite, sulfate, phosphate, bromine), as well as dissolved inorganic carbon (DIC) and dissolved organic carbon (DOC). In addition, the dataset includes stable water isotope measurements (δ¹⁸O and δ²H), which provide insight into water source contributions, evaporation processes, and seasonal hydrologic shifts. Sampling was conducted across multiple seasons and flow conditions to capture both temporal variability and spatial gradients along the river system. This multi-year dataset supports research in Arctic hydrology, watershed biogeochemistry, carbon cycling, and the impacts of environmental change, including permafrost thaw, changing precipitation regimes, and evolving river–floodplain interactions.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A2RR1PP82","contentUrl":null,"metadataVersion":0,"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":"2026-05-29T22:27:49Z","registered":"2026-05-29T22:27:51Z","published":null,"updated":"2026-05-29T22:27:51Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a2df6k55b","type":"dois","attributes":{"doi":"10.18739/a2df6k55b","identifiers":[{"identifier":"https://archive.softwareheritage.org/swh:1:dir:df3b85997a584be20e5b9a7d9281b1aabd602b8d;origin=https://github.com/NCEAS/metacat;visit=swh:1:snp:cc5461505802fce9ff95ef0f7a2c3f309cee6352;anchor=swh:1:rev:1400210ea42a4f4d45aa0abbe6c4cc5606748d8f","identifierType":"https://registry.identifiers.org/registry/swh"}],"creators":[{"name":"Tao, 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Center"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-6711-8466","nameIdentifierScheme":"ORCID"}]},{"name":"Levine, Paul","nameType":"Personal","givenName":"Paul","familyName":"Levine","affiliation":["Jet Propulsion Laboratory"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-1248-6920","nameIdentifierScheme":"ORCID"}]},{"name":"Virkkala, Anna","nameType":"Personal","givenName":"Anna","familyName":"Virkkala","affiliation":["Woodwell Climate Research Center"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-4877-2918","nameIdentifierScheme":"ORCID"}]},{"name":"Timm, Jeb","nameType":"Personal","givenName":"Jeb","familyName":"Timm","affiliation":["National Ecological Observatory Network (NEON)"],"nameIdentifiers":[]},{"name":"Baird, Chris","nameType":"Personal","givenName":"Chris","familyName":"Baird","affiliation":["National Ecological Observatory Network (NEON)"],"nameIdentifiers":[]}],"titles":[{"lang":"en","title":"Environmental and biological controls on carbon uptake phenology in permafrost affected boreal forests, Alaska, 2021-2024"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2026,"subjects":[{"lang":"en","subject":"Carbon Flux"},{"lang":"en","subject":"Methane Flux"},{"lang":"en","subject":"Boreal"},{"lang":"en","subject":"LTER"},{"lang":"en","subject":"Soil Respiration"},{"lang":"en","subject":"Active layer thickness"},{"lang":"en","subject":"Soil Moisture"},{"lang":"en","subject":"Soil Temperature"},{"lang":"en","subject":"Closed Chamber"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"This project aims to gain an improved understanding of the boreal forest carbon balance, including the seasonal contributions of carbon flux (μmol m^-2 s^-1 [micromoles per square meter per second]) and the influence of key environmental conditions (e.g., soil moisture, soil temperature, and vegetation community characteristics) that regulate carbon loss.\n The dataset includes carbon flux data from chamber-based measurements and the Bonanza Creek National Ecological Observatory Network (BONA NEON) eddy covariance tower, which we gap-filled using a random forest machine learning model. It also includes associated measurements of vegetation (aboveground woody biomass, understory biomass, tree age), radiation (photosynthetically active radiation, leaf area index, air temperature), and soil (moisture, temperature, thaw depth, organic layer depth, bulk density %C [percent carbon], %N [percent nitrogen], C:N [carbon-to-nitrogen ratio], 13C [carbon-13], 14C [carbon-14]), including a soil incubation experiment which measured microbial respiration (mg C / kg soil d [milligrams of carbon per kilogram of soil per day]) under different soil conditions.\n Chamber-based carbon flux data and their associated measurements (soil moisture, soil temperature, PAR [Photosynthetically Active Radiation], thaw depth) are available May - September 2021 and 2022. In situ sensor data (soil temperature, soil moisture, air temperature, PAR) is available June 2021 - August 2022. Vegetation data and soil samples were collected in July 2022. The gap-filled tower flux data is available from 2019 - 2024. A land cover analysis of the tower footprint is available 2021 - 2022.\n The study area spans the footprint of the eddy covariance tower, and a 300 m (meters) slopeside lowland-to-upland forest within the Caribou-Poker Creek Research Watershed northeast of Fairbanks, Alaska, described below.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A2WH2DH2T","contentUrl":null,"metadataVersion":0,"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":"2026-05-28T21:46:11Z","registered":"2026-05-28T21:46:12Z","published":null,"updated":"2026-05-28T21:46:12Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a2154dr30","type":"dois","attributes":{"doi":"10.18739/a2154dr30","identifiers":[],"creators":[{"name":"Young, Amanda","nameType":"Personal","givenName":"Amanda","familyName":"Young","affiliation":[],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0009-0002-0629-8306","nameIdentifierScheme":"ORCID"}]},{"name":"Detlev Helmig, Detlev","nameType":"Personal","givenName":"Detlev","familyName":"Detlev Helmig","affiliation":["Boulder Atmosphere Innovation Research"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-1612-1651","nameIdentifierScheme":"ORCID"}]},{"name":"Hueber, Jacques","nameType":"Personal","givenName":"Jacques","familyName":"Hueber","affiliation":[],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-3257-9910","nameIdentifierScheme":"ORCID"}]}],"titles":[{"lang":"en","title":"Toolik Field Station Ground-Level Ozone Data (2023-09-01 through 2024-12-31)"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2026,"subjects":[{"lang":"en","subject":"Ozone, Air Pollution, Atmospheric Chemistry, Air Quality, Atmospheric Stability, Arctic, Vegetation"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"Tropospheric ozone is a potent greenhouse gas and air pollutant harmful to humans and vegetation. This atmospheric monitoring at Toolik Field Station is one of the very few ongoing surface ozone monitoring programs located in a tundra environment. This dataset contains the mole fraction of ozone measured in the atmospheric surface layer at Toolik Field Station (68◦38′ N, 149◦36′ W) across four years (2023-09 to 2024-12) at one minute sampling frequency. Measurements were performed using a Thermo Scientific model 49C ultraviolet (UV) absorption analyzer.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A2154DR30","contentUrl":null,"metadataVersion":0,"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":"2026-05-28T20:54:20Z","registered":"2026-05-28T20:54:21Z","published":null,"updated":"2026-05-28T20:54:21Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a24x54j7t","type":"dois","attributes":{"doi":"10.18739/a24x54j7t","identifiers":[],"creators":[{"name":"Moody, Michael","nameType":"Personal","givenName":"Michael","familyName":"Moody","affiliation":["University of Texas at El Paso"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-0327-267X","nameIdentifierScheme":"ORCID"}]},{"name":"Pallares Solano, Luis","nameType":"Personal","givenName":"Luis","familyName":"Pallares Solano","affiliation":["University of Texas at El Paso"],"nameIdentifiers":[]},{"name":"Fetcher, Ned","nameType":"Personal","givenName":"Ned","familyName":"Fetcher","affiliation":["Wilkes University"],"nameIdentifiers":[]},{"name":"Mohl, Jonathan","nameType":"Personal","givenName":"Jonathan","familyName":"Mohl","affiliation":["University of Texas at El Paso"],"nameIdentifiers":[]}],"titles":[{"lang":"en","title":"Transcriptome data: Eriophorum vaginatum growth chamber and reciprocal transplant gardens, Alaska (2023-2025)"}],"publisher":"NSF Arctic Data Center","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":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"This data set is part of NSF OPP – 2109946 Collaborative Research: Plant phenology, local adaptation, and growing season length in the changing Arctic tundra. The data includes RNAseq fasta and gene ID files for Eriophorum vaginatum originating from growth chamber experiments and field experiments for ecotypes originating from Taiga ecosystem, Coldfoot Camp (67.2631, -150.1591) or Tundra ecosystem, Sagwon (69.4244, -148.6976). Growth chambers were from 4 time points from pre-senescence to complete senescence of leaves through 4 different experimental settings including (1) constant temperature and light matching peak growing season, (2) Natural light and temperature of Sagwon through a growing season, (3) constant peak season light + natural field season temperature, (4) constant peak season temperature + natural field season light. Field data are from plants transplanted to Sagwon from Coldfoot and Sagwon with data collected weekly after plants reach the beginning of senescence. Data originates from RNA (Ribonucleic Acid) extraction collected from whole tiller leaf material followed by RNA sequencing. This study was designed to understand the genetic mechanisms underlying ecotype specific timing of senescence in relation to light and temperature.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A24X54J7T","contentUrl":null,"metadataVersion":0,"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":"2026-05-27T18:19:51Z","registered":"2026-05-27T18:19:52Z","published":null,"updated":"2026-05-27T18:19:52Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a28p5vc16","type":"dois","attributes":{"doi":"10.18739/a28p5vc16","identifiers":[],"creators":[{"name":"Moody, Michael","nameType":"Personal","givenName":"Michael","familyName":"Moody","affiliation":["University of Texas at El Paso"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-0327-267X","nameIdentifierScheme":"ORCID"}]},{"name":"Pallares Solano, Luis","nameType":"Personal","givenName":"Luis","familyName":"Pallares Solano","affiliation":["University of Texas at El Paso"],"nameIdentifiers":[]},{"name":"Fetcher, Ned","nameType":"Personal","givenName":"Ned","familyName":"Fetcher","affiliation":["Wilkes University"],"nameIdentifiers":[]},{"name":"Stunz, Liz","nameType":"Personal","givenName":"Liz","familyName":"Stunz","affiliation":["University of Texas at El Paso"],"nameIdentifiers":[]}],"titles":[{"lang":"en","title":"Population genomic data from ddRAD for Salix pulchra and Carex bigelowii in North in Central Alaska (2023-2026)"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2026,"subjects":[{"lang":"en","subject":"ddRAD"},{"lang":"en","subject":"Carex"},{"lang":"en","subject":"Salix"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"This data set is part of NSF OPP – 2109946 Collaborative Research: Plant phenology, local adaptation, and growing season length in the changing Arctic tundra. ddRAD sequencing was performed on populations of Salix pulchra and Carex bigelowii across a latitudinal gradient in north central Alaska from East of Fairbanks to the North Coast near Prudhoe Bay for comparative population genomics analysis.\nThis study was intended to better understand historical biogeography of major elements of the plant community to determine if: (1) there is comparable evidence of historical gene flow among all these taxa along the same latitudinal gradient in north central Alaska: and (2) there is evidence of genetic structure linked to adaptation for latitude or specific site of origin across lineages.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A28P5VC16","contentUrl":null,"metadataVersion":0,"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":"2026-05-27T18:15:09Z","registered":"2026-05-27T18:15:10Z","published":null,"updated":"2026-05-27T18:15:10Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a2z31nq8d","type":"dois","attributes":{"doi":"10.18739/a2z31nq8d","identifiers":[],"creators":[{"name":"Heath, Adrian","nameType":"Personal","givenName":"Adrian","familyName":"Heath","affiliation":["Oregon State University"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0009-0006-0152-7703","nameIdentifierScheme":"ORCID"}]},{"name":"Eidam, Emily","nameType":"Personal","givenName":"Emily","familyName":"Eidam","affiliation":["Oregon State University"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-1906-8692","nameIdentifierScheme":"ORCID"}]},{"name":"Stark, Nina","nameType":"Personal","givenName":"Nina","familyName":"Stark","affiliation":["University of Florida"],"nameIdentifiers":[]},{"name":"Brilli, Nick","nameType":"Personal","givenName":"Nick","familyName":"Brilli","affiliation":["Virginia Polytechnic Institute and State University"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-3050-3103","nameIdentifierScheme":"ORCID"}]}],"titles":[{"lang":"en","title":"Radioisotope and grain-size data from sediment cores collected in Harrison Bay (Beaufort Sea continental shelf), Alaska 2021-2022"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2024,"subjects":[{"lang":"en","subject":"seabed"},{"lang":"en","subject":"sediment"},{"lang":"en","subject":"continental shelf"},{"lang":"en","subject":"grain size"},{"lang":"en","subject":"d50"},{"lang":"en","subject":"porosity"},{"lang":"en","subject":"organic matter"},{"lang":"en","subject":"dry bulk density"},{"lang":"en","subject":"radioisotope"},{"lang":"en","subject":"Pb-210"},{"lang":"en","subject":"Pb-214"},{"lang":"en","subject":"Cs-137"},{"lang":"en","subject":"Alaska"},{"lang":"en","subject":"Beaufort Shelf"},{"lang":"en","subject":"Harrison Bay"},{"lang":"en","subject":"sediment core"},{"lang":"en","subject":"gravity core"}],"contributors":[],"dates":[{"date":"2024","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"Seabed sediment cores were collected from 13 sites across Harrison Bay on the Alaskan Beaufort Shelf between Cape Halkett and Oliktok Point. Sediment cores were collected aboard the Research Vessel Ukpik in the summers of 2021 and 2022 for NSF project 1913195: “Arctic Shelf sediment fate – an observational and modeling study of sediment pathways and morphodynamic feedbacks in a changing polar environment.” Core sites included the subaqueous Colville River Delta, inner shelf, and middle shelf. The dataset consists of Lead-210 (Pb-210) activities by alpha and gamma spectroscopy, Lead-214 (Pb-214) activities by gamma spectroscopy, Cesium-137 (Cs-137) by gamma spectroscopy, grain-size distributions, organic matter, dry bulk density, and porosities. Sediment cores were collected using an 8-centimeter (cm) diameter gravity corer, and cores were sliced in 1-cm intervals and bagged in the field before being returned to labs for analyses. At the University of North Carolina at Chapel Hill and Oregon State University, samples were weighed, dried, and reweighed in the laboratory to determine the porosity and dry bulk density before other lab analyses. Samples were measured for Pb-210 activities using an acid digestion procedure and alpha spectroscopy developed from the Nittrouer et al. (1979) Po-210 detection methods. Alpha energy emissions were counted in a Mirion© Alpha Analyst Integrated Alpha Spectrometer. Samples were also analyzed for Pb-210, Pb-214, and Cs-137 activities by gamma-ray spectroscopy by counting for greater than or equal to 24 hours in a Canberra GL2020RS LEGe planar gamma-ray spectrometer. Samples were sonicated for two minutes prior to grain-size distribution analysis, which was performed using an Escitec Bettersizer S3Plus laser diffraction sensor. Samples were analyzed for percent organic matter (OM) by a loss-on-ignition (LOI) procedure that combusted samples at 550 degrees Celcius (ºC) for five hours in a muffle furnace to volatize organics. No regions of decay were observed in Pb-210 activity profiles, and Pb-210 activities were generally low, ranging from 0.90 ±0.05 to 5.09 ±0.13. Most samples did not contain detectable Cs-137 activities. Grain-size distributions varied considerably among the 13 sediment cores, with samples ranging from unimodal muds to unimodal sands to bimodal sands and muds. Porosity profiles were linear in most sediment cores; however, there was some variability among linear profiles. Down-core OM were mostly linear and trended with porosity profiles.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A2Z31NQ8D","contentUrl":null,"metadataVersion":0,"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":"2024-07-08T20:48:24Z","registered":"2024-07-08T20:48:25Z","published":null,"updated":"2026-05-27T15:05:51Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a29p2w82x","type":"dois","attributes":{"doi":"10.18739/a29p2w82x","identifiers":[{"identifier":"https://archive.softwareheritage.org/swh:1:dir:d07d682c8b8d91f60ebe7c77d4faefc0a1a0078d;origin=https://github.com/NCEAS/metacat;visit=swh:1:snp:994f76b75d36d8cbdb94672e3b222d224ea90913;anchor=swh:1:rev:3d9831d3ed5e76dcb201bbca096c3407ce0653e7","identifierType":"https://registry.identifiers.org/registry/swh"}],"creators":[{"name":"Tao, 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Science Foundation","awardNumber":"99-80154","funderIdentifier":"https://doi.org/10.13039/100000001","funderIdentifierType":"Crossref Funder ID"}],"url":"https://archive.softwareheritage.org/swh:1:dir:d07d682c8b8d91f60ebe7c77d4faefc0a1a0078d","contentUrl":null,"metadataVersion":0,"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":"2026-05-22T03:16:40Z","registered":"2026-05-22T03:16:41Z","published":null,"updated":"2026-05-27T00:07:49Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a2j678z92","type":"dois","attributes":{"doi":"10.18739/a2j678z92","identifiers":[],"creators":[{"name":"Fuentes, Jose D","nameType":"Personal","givenName":"Jose D","familyName":"Fuentes","affiliation":["The Pennsylvania State University"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-6177-6326","nameIdentifierScheme":"ORCID"}]}],"titles":[{"lang":"en","title":"Atmospheric thermodynamics data obtained over Chukchi Sea during March to April 2022"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2022,"subjects":[{"lang":"en","subject":"dropsonde"},{"lang":"en","subject":"thermodynamics"},{"lang":"en","subject":"Arctic"}],"contributors":[],"dates":[{"date":"2022","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"The dropsonde data set was obtained over Chukchi Sea, west of Utqiaġvik, Alaska, during March to April 2022 as part of the National Science Foundation (NSF) funded project titled ‘Chemistry in the Arctic: Clouds, Halogens, and Aerosols (CHACHA). The field project aimed to advance the understanding of coupled meteorological and chemical processes in the atmospheric boundary layer during the seasonal increase in sea ice fracturing in spring. The NSF facility of the King Air research aircraft, based at the University of Wyoming, was equipped with a manual dropsonde launch tube to release dropsondes (model NRD41, NCAR, Boulder, Colorado), which utilized a square-cone parachute to reduce the initial shock load and to slow and stabilize the dropsondes as they descended. The manual dropsonde launcher was installed toward the aft of the King Air and operated by the flight scientist. The parachute deployed immediately upon exit from the launch chute and became stable after opening, eliminating any pendulum motion during the descent of dropsondes. We followed unique flight transect strategies to study atmospheric thermodynamics over leads using dropsondes. We released several dropsondes over the leading edge of leads, over the open water of leads, and over the downwind of leads. To initiate dropsonde releases, the King Air aircraft spiraled upward to reach the desired altitude of 3.5 km above the surface. The aircraft then cruised at a constant altitude and released the dropsondes along the required transect to measure air thermodynamics as dropsondes descended from 3.5 km to the surface. Dropsonde humidity sensors were reconditioned before launch to reduce the potential for humidity contamination, ensuring optimal measurement performance throughout the entire altitude and temperature range of profiles. The Airborne Vertical Atmospheric Profiling System (AVAPS) software system received and stored data from dropsondes. Data files are saved in NetCDF and include the following variables: trajectory (no information provided), dropsonde_launch_time (in Universal Time Coordinate), time (Universal Time Coordinate), pres (pressure in hPa [hectopascals]), tdry (air temperature in °C [degrees Celsius]), dp (dew point temperature in °C), rh (relative humidity in percentage), u_wind (zonal wind speed in m per s [meters per second]), v_wind (meridional wind speed in m per s), w_wind (vertican wind speed in m per s), wspd (zonal wind speed in m per s), wdir (wind direction in degrees), dz (sonde fall rate in m per s), mr water vapor mixing ratio in g per kg [grams per kilogram]), vt (virtual temperature in °C), theta (potential temperature in K [kelvin]), theta_e (equivalent potential temperature in K), theta_v (virtual potential temperature in K), lat (latitude in degrees), lon (longitude in degrees), alt (geopotential height above mean sea level in m [meters]), gpsalt (GPS reported altitude above mean sea level in m), reference_time (time of the reference observation), reference_pres (reference pressure in hPa), reference_tdry (reference temperarture in °C), reference_rh (reference relative humidity in percentage), reference_wspd (reference wind speed in m per s), reference_wdir (reference wind direction in degrees), reference_lat (reference latitude in degrees), reference_lon (reference longitude in degrees), reference_alt (reference altitude above mean sea level in m)). Full details of the file data format are provided by Vömel, Suhr, and Granger 2019 (NCAR/EOL/ISF Dropsonde NetCDF Data Files, UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/54wh-rj45).","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A2J678Z92","contentUrl":null,"metadataVersion":0,"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":"2026-05-26T22:00:39Z","registered":"2026-05-26T22:00:40Z","published":null,"updated":"2026-05-26T22:00:40Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a2nz80s3h","type":"dois","attributes":{"doi":"10.18739/a2nz80s3h","identifiers":[],"creators":[{"name":"Costa, Emily","nameType":"Personal","givenName":"Emily","familyName":"Costa","affiliation":["University of Michigan"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-5229-2664","nameIdentifierScheme":"ORCID"}]},{"name":"Pratt, Kerri","nameType":"Personal","givenName":"Kerri","familyName":"Pratt","affiliation":["University of Michigan"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-4707-2290","nameIdentifierScheme":"ORCID"}]},{"name":"Selimovic, Vanessa","nameType":"Personal","givenName":"Vanessa","familyName":"Selimovic","affiliation":["University of Michigan"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-3053-2732","nameIdentifierScheme":"ORCID"}]}],"titles":[{"lang":"en","title":"Size, chemical composition, and sulfur content of individual atmospheric particles in wintertime Fairbanks, Alaska, 2022"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2026,"subjects":[{"lang":"en","subject":"EARTH SCIENCE"},{"lang":"en","subject":"ATMOSPHERE"},{"lang":"en","subject":"AEROSOLS"},{"lang":"en","subject":"PARTICULATE MATTER"},{"lang":"en","subject":"AIR QUALITY"},{"lang":"en","subject":"PARTICULATES"},{"lang":"en","subject":"Fairbanks"},{"lang":"en","subject":"Alaska"},{"lang":"en","subject":"Particulate matter"},{"lang":"en","subject":"Combustion"},{"lang":"en","subject":"Road salt"},{"lang":"en","subject":"Dust"},{"lang":"en","subject":"Sulfur"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"The Alaskan Layered Pollution and Chemical Analysis (ALPACA) field campaign was conducted in Fairbanks, Alaska from January to February 2022. Individual atmospheric particles were collected using a micro orifice uniform deposit impactor (MOUDI) in downtown Fairbanks, inside a trailer located at University of Alaska Fairbanks Community Technical College (64.841°N (degrees North), 147.727°W (degrees West). After sample collection, the size and chemical composition of individual atmospheric particles were measured using computer controlled scanning electron microscopy with energy dispersive X-ray spectroscopy (CCSEM-EDX). The goal of this work was to understand the size, chemical composition, and distribution of sulfur across the aerosol population in an urban wintertime environment. Here we report representative EDX spectra, chemically-resolved particle number fractions, and sulfur content of atmospheric particles collected during the ALPACA campaign.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A2NZ80S3H","contentUrl":null,"metadataVersion":0,"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":"2026-05-22T15:26:13Z","registered":"2026-05-22T15:26:14Z","published":null,"updated":"2026-05-22T15:26:14Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a2sq8qk78","type":"dois","attributes":{"doi":"10.18739/a2sq8qk78","identifiers":[],"creators":[{"name":"DiCianna, Mia","nameType":"Personal","givenName":"Mia","familyName":"DiCianna","affiliation":["South Dakota State University"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-3306-0152","nameIdentifierScheme":"ORCID"}]},{"name":"Leffler, Joshua","nameType":"Personal","givenName":"Joshua","familyName":"Leffler","affiliation":["South Dakota State University"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-3389-2493","nameIdentifierScheme":"ORCID"}]}],"titles":[{"lang":"en","title":"Floodwater Salinity and Flood Duration Regulate Greenhouse Gas Production in High-Latitude Coastal Wetland and Tundra Soils, Alaska (2024-2025)"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2026,"subjects":[{"lang":"en","subject":"biogeochemistry"},{"lang":"en","subject":"wetland"},{"lang":"en","subject":"tundra"},{"lang":"en","subject":"flooding"},{"lang":"en","subject":"salinity"},{"lang":"en","subject":"microcosm"},{"lang":"en","subject":"flood duration"},{"lang":"en","subject":"dissolved oxygen"},{"lang":"en","subject":"carbon dioxide"},{"lang":"en","subject":"methane"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"Coastal high-latitude ecosystems are increasingly flooded from storm surges associated with climate change, exposing soils that were historically infrequently inundated to higher-salinity waters for longer durations. Sub-Arctic wetlands and tundra store large amounts of carbon, yet how flooding characteristics, particularly flood duration, influence microbial mineralization and, consequently, greenhouse gas (GHG) production in these soils remains poorly understood. We conducted a microcosm incubation experiment in which coastal wetland and tundra soils were subjected to simulated flooding with three durations (1, 3, and 10 days) and four floodwater treatments (unflooded, freshwater, 3 ppt (parts per thousand), and 12 ppt). Carbon dioxide (CO2) and methane (CH4) fluxes from the soil microcosms were measured over 80 days following the simulated flooding events. We found salinity to be more influential on GHG dynamics than flood duration. While freshwater flooding reduced CO2 production and enhanced CH4 production, saline floods inhibited the production of both gases. The inhibitory effects of flooding on CO2 production were stronger in tundra soils than in wetland soils, but the effects of flooding on CH4 production were more variable in tundra soils. Although flood duration had limited overall effects, longer floods increased CH4 production in tundra soils. As coastal flooding increases, salinity may constrain GHG production in these high-latitude ecosystems, but longer floods could enhance CH4 production in areas of the landscape that were not historically exposed to inundation.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A2SQ8QK78","contentUrl":null,"metadataVersion":0,"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":"2026-05-21T20:59:15Z","registered":"2026-05-21T20:59:16Z","published":null,"updated":"2026-05-21T20:59:16Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a2xd0r08n","type":"dois","attributes":{"doi":"10.18739/a2xd0r08n","identifiers":[],"creators":[{"name":"Pimenta, Michael","nameType":"Personal","givenName":"Michael","familyName":"Pimenta","affiliation":["University of Connecticut"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-1047-128X","nameIdentifierScheme":"ORCID"}]},{"name":"Witharana, Chandi","nameType":"Personal","givenName":"Chandi","familyName":"Witharana","affiliation":["University of Connecticut"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-7587-535X","nameIdentifierScheme":"ORCID"}]},{"name":"Perera, Amal","nameType":"Personal","givenName":"Amal","familyName":"Perera","affiliation":["University of Connecticut"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-3683-2098","nameIdentifierScheme":"ORCID"}]},{"name":"Liljedahl, Anna","nameType":"Personal","givenName":"Anna","familyName":"Liljedahl","affiliation":["Woodwell Climate Research Center"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-7114-6443","nameIdentifierScheme":"ORCID"}]},{"name":"Manos, Elias","nameType":"Personal","givenName":"Elias","familyName":"Manos","affiliation":["University of Connecticut"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-7350-0116","nameIdentifierScheme":"ORCID"}]}],"titles":[{"lang":"en","title":"Pan-Alaska permafrost tundra capillary network detection and graph theoretic analysis from \u0026lt;1 meter resolution satellite imagery (2011 - 2025)"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2026,"subjects":[{"lang":"en","subject":"CRYOSPHERE"},{"lang":"en","subject":"GEOMORPHIC LANDFORMS/PROCESSES"},{"lang":"en","subject":"FROZEN GROUND"},{"lang":"en","subject":"SURFACE WATER"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"### Access\nAll files can be accessed and downloaded from the directory via: [https://arcticdata.io/data/10.18739/A2XD0R08N/](https://arcticdata.io/data/10.18739/A2XD0R08N/).\n\n### Overview\nTundra Capillary Networks (TCNs) are emerging drainage systems formed through the coalescence and degradation of ice-wedge polygon troughs and represent a key mechanism of hydrological reorganization in permafrost landscapes. This dataset consists of computer vision–derived semantic segmentation outputs and associated graph-theoretic analyses represented in vectorized formats. The data capture the spatial structure, connectivity, and topology of TCNs across heterogeneous Arctic tundra environments.\n \nThe purpose of this dataset is to support analyses of Arctic hydrology, permafrost landscape evolution, and geomorphological processes. By providing a standardized, scalable representation of TCN structure and dynamics, this dataset enables comparative studies across space and time and facilitates integration with network-based, statistical, and geospatial modeling frameworks.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A2XD0R08N","contentUrl":null,"metadataVersion":0,"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":"2026-05-21T17:10:56Z","registered":"2026-05-21T17:10:57Z","published":null,"updated":"2026-05-21T17:10:57Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a2251fn37","type":"dois","attributes":{"doi":"10.18739/a2251fn37","identifiers":[],"creators":[{"name":"Druckenmiller, Matthew","nameType":"Personal","givenName":"Matthew","familyName":"Druckenmiller","affiliation":["University of Colorado Boulder"],"nameIdentifiers":[]},{"name":"Robson, Bruce","nameType":"Personal","givenName":"Bruce","familyName":"Robson","affiliation":["Aleut Community of St Paul Island"],"nameIdentifiers":[]}],"titles":[{"lang":"en","title":"DRAFT Guidebook for Community-Driven Data Management in the Arctic - Summary and Table of Contents (Alaska and northwestern Canada, 2024-2025)"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2025,"subjects":[{"lang":"en","subject":"data management"},{"lang":"en","subject":"arctic science"},{"lang":"en","subject":"community-based monitoring"},{"lang":"en","subject":"guidebook"},{"lang":"en","subject":"best practices"}],"contributors":[],"dates":[{"date":"2025","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"This project has supported the development of a “Guidebook for Community-Driven Data Management in the Arctic”, designed to strengthen planning, implementation, and long-term stewardship of data generated through community-based research and monitoring programs. Community-driven research plays a critical role across Arctic regions by documenting environmental change, supporting food security and hazard mitigation, safeguarding Indigenous knowledge and place-based observations, and advancing local priorities. As attention to Indigenous sovereignty and leadership in research has grown, so too has the need for practical guidance on data management that centers community control, governance, and use of data. The guidebook addresses a recognized gap by framing data management as more than technical storage, instead emphasizing questions of ownership, access, sensitivity, sharing conditions, technology choices, and long-term sustainability. It is structured to (1) introduce foundational concepts and terminology in accessible language; (2) provide tools and templates to support collaborative data management planning and agreements; (3) offer guidance on sustaining data systems and meaningful data use over time; and (4) present case studies from Alaska and Northwest Canada illustrating real-world challenges and successes. This dataset is a draft summary of the guidebook along with a table of contents and is not the full/completed guidebook. The guidebook will be published and this entry will be updated as soon as it is completed.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A2251FN37","contentUrl":null,"metadataVersion":0,"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":"2026-05-20T23:52:20Z","registered":"2026-05-20T23:52:21Z","published":null,"updated":"2026-05-20T23:52:21Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a25x25f8j","type":"dois","attributes":{"doi":"10.18739/a25x25f8j","identifiers":[],"creators":[{"name":"Heffner, Leanna","nameType":"Personal","givenName":"Leanna","familyName":"Heffner","affiliation":["Alaska Conservation Foundation"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0009-0008-9645-431X","nameIdentifierScheme":"ORCID"}]},{"name":"Poe, Aaron","nameType":"Personal","givenName":"Aaron","familyName":"Poe","affiliation":["Alaska Conservation Foundation"],"nameIdentifiers":[]},{"name":"Staples, Kiri","nameType":"Personal","givenName":"Kiri","familyName":"Staples","affiliation":["Northwest Research \u0026 Consulting Group"],"nameIdentifiers":[]}],"titles":[{"lang":"en","title":"An Analysis of 2023-2024 Survey Data for the Northern Connections Project in Alaska and Northwestern Canada"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2025,"subjects":[{"lang":"en","subject":"citizen science"},{"lang":"en","subject":"Indigenous knowledge"},{"lang":"en","subject":"Arctic science"},{"lang":"en","subject":"community-based monitoring"},{"lang":"en","subject":"monitoring networks"},{"lang":"en","subject":"Alaska"},{"lang":"en","subject":"Canada"},{"lang":"en","subject":"local observations"},{"lang":"en","subject":"coordinated monitoring"}],"contributors":[],"dates":[{"date":"2025","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"This report evaluates a 2023–2024 survey of community-based monitoring (CBM) programs across Alaska and northwestern Canada to inform the Northern Connections project’s regional collaboration strategy. The findings highlight a critical vulnerability in CBM stability, as most initiatives rely on single-source federal funding and require support to diversify their funding portfolios. While local participation and Indigenous Knowledge are robust during data collection, a significant gap exists at the interpretation and analysis stages; consequently, the report recommends that CBM programs and supporting entities prioritize technical training and capacity-building to center Indigenous knowledge in data interpretation. Furthermore, despite widespread interest in cooperation, a persistent disconnect remains across the Alaska-Canada border. To bridge this gap, the report suggests establishing regional monitoring networks organized around broad, cross-cutting issues—such as food security and climate change—rather than narrow, topic-specific silos. These issue-based networks offer the greatest potential for participation and operational synergy, providing a framework for shared data management, policy alignment, and expertise exchange. Ultimately, the report concludes that while the groundwork for regional coordination is well-established, Northern Connections and similar efforts need to prioritize international networking and issue-led collaboration to maximize the collective impact of CBM on Arctic policy and resource management.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A25X25F8J","contentUrl":null,"metadataVersion":0,"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":"2026-05-20T23:45:18Z","registered":"2026-05-20T23:45:19Z","published":null,"updated":"2026-05-20T23:45:19Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a2ff3m262","type":"dois","attributes":{"doi":"10.18739/a2ff3m262","identifiers":[],"creators":[{"name":"Chawarski, Julek","nameType":"Personal","givenName":"Julek","familyName":"Chawarski","affiliation":["ASL Environmental Sciences"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-5107-2037","nameIdentifierScheme":"ORCID"}]},{"name":"De Sousa, Leandra","nameType":"Personal","givenName":"Leandra","familyName":"De Sousa","affiliation":["North Slope Borough Department of Wildlife Management"],"nameIdentifiers":[]}],"titles":[{"lang":"en","title":"Under-ice currents, bottom salinity, and acoustic backscatter from a mooring deployed at Eluitkak Pass in Elson Lagoon, Utqiaġvik, Alaska from January-June, 2018-2024"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2026,"subjects":[{"lang":"en","subject":"Arctic Lagoon"},{"lang":"en","subject":"Currents"},{"lang":"en","subject":"Estuarine mixing"},{"lang":"en","subject":"Under-ice"},{"lang":"en","subject":"Ecosystem"},{"lang":"en","subject":"Oceanography"},{"subject":"FOS: Earth and related environmental sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"lang":"en","subject":"Acoustics"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"Elson Lagoon, a semi-enclosed coastal system near the boundary of the Chukchi and Beaufort Seas, is shaped by dynamic oceanographic and atmospheric processes. During summer, freshwater discharge and wind-driven mixing dominate its hydrology, whereas winter circulation beneath landfast ice is governed by interactions between Alaska Coastal Water and hypersaline lagoon water formed during ice growth. Although Arctic amplification has intensified sea-ice loss and altered atmospheric circulation, the impacts of these changes on under-ice ecosystems along the Alaskan Beaufort and Chukchi coasts remain poorly understood. Here we provide a five-year time series (2018-2024, excluding winter 2020-2021), from Eluitkak pass connecting Elson Lagoon to the Beaufort Sea coast. Data provided include processed water column velocity measurements using an upward-looking 600 kilohertz (kHz) acoustic Doppler current profiler (ADCP) , multi-frequency (125, 200, 455 kHz) acoustic backscatter from an upward-looking Acoustic Zooplankton Fish Profiler (AZFP) and bottom salinity measured from a conductivity, temperature, and depth (CTD) instrument. These data were used to investigate the link between atmospheric forcing, currents, and zooplankton exchange beneath landfast ice. Currents were only collected during the final three seasons (2021-2022, 2022-2023, 2023-2024). As currents and bottom salinity were found to be strongly linked at tidal and subtidal timescales, bottom salinity provides a proxy for currents in other years of the dataset.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A2FF3M262","contentUrl":null,"metadataVersion":0,"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":"2026-05-18T21:21:40Z","registered":"2026-05-18T21:21:41Z","published":null,"updated":"2026-05-18T21:21:41Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a2k649v99","type":"dois","attributes":{"doi":"10.18739/a2k649v99","identifiers":[],"creators":[{"name":"Edgar, Colin","nameType":"Personal","givenName":"Colin","familyName":"Edgar","affiliation":["Toolik Field Station"],"nameIdentifiers":[]},{"name":"Melendez-Gonzalez, Mayra","nameType":"Personal","givenName":"Mayra","familyName":"Melendez-Gonzalez","affiliation":["Toolik Field Station"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-3136-5964","nameIdentifierScheme":"ORCID"}]},{"name":"Jackson, Abigail","nameType":"Personal","givenName":"Abigail","familyName":"Jackson","affiliation":["Toolik Field Station"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-7807-8524","nameIdentifierScheme":"ORCID"}]},{"name":"Young, Amanda","nameType":"Personal","givenName":"Amanda","familyName":"Young","affiliation":["Toolik Field Station"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-3580-8603","nameIdentifierScheme":"ORCID"}]}],"titles":[{"lang":"en","title":"Hourly meteorological data from Flux Hut tower, Toolik Field Station, Alaska (2023-2025)"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2025,"subjects":[{"lang":"en","subject":"Arctic"},{"lang":"en","subject":"Toolik Field Station"},{"lang":"en","subject":"Alaska"},{"lang":"en","subject":"meteorological"},{"lang":"en","subject":"wind"},{"lang":"en","subject":"wind speed"},{"lang":"en","subject":"temperature"},{"lang":"en","subject":"soil temperature"}],"contributors":[],"dates":[{"date":"2025","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"Weather data has been collected at Toolik Field Station (68 degrees 38'N, 149 degrees 36'W) since June 1988. In October of 2023 a secondary weather station was established approximately a quarter mile south of the station on the south side of Toolik Lake inlet near the existing flux hut. The field station and surrounding area is an ideal location for maintaining long-term weather data, as it is located in a data sparse region and adds a data point along the north-south transect of the North Slope of Alaska, following along the Dalton Highway. There is year round access and a long-term dataset. These advantages make it possible to provide quality data - an often difficult achievement in remote northern latitudes in Alaska.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A2K649V99","contentUrl":null,"metadataVersion":0,"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":"2026-05-18T21:13:46Z","registered":"2026-05-18T21:13:48Z","published":null,"updated":"2026-05-18T21:13:48Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a2pz51p3r","type":"dois","attributes":{"doi":"10.18739/a2pz51p3r","identifiers":[],"creators":[{"name":"Edgar, Colin","nameType":"Personal","givenName":"Colin","familyName":"Edgar","affiliation":["Toolik Field Station Environmental Data Center"],"nameIdentifiers":[]},{"name":"Cherry, Jessie","nameType":"Personal","givenName":"Jessie","familyName":"Cherry","affiliation":["Toolik Field Station Environmental Data Center"],"nameIdentifiers":[]},{"name":"Cohen, Lily","nameType":"Personal","givenName":"Lily","familyName":"Cohen","affiliation":["Toolik Field Station Environmental Data Center"],"nameIdentifiers":[]},{"name":"Haupert, Christie","nameType":"Personal","givenName":"Christie","familyName":"Haupert","affiliation":["Toolik Field Station Environmental Data Center"],"nameIdentifiers":[]},{"name":"Kade, Anja","nameType":"Personal","givenName":"Anja","familyName":"Kade","affiliation":["Toolik Field Station Environmental Data Center"],"nameIdentifiers":[]},{"name":"Laundre, Jim","nameType":"Personal","givenName":"Jim","familyName":"Laundre","affiliation":["Arctic LTER"],"nameIdentifiers":[]},{"name":"Van Dam, Brie","nameType":"Personal","givenName":"Brie","familyName":"Van Dam","affiliation":["Toolik Field Station Environmental Data Center"],"nameIdentifiers":[]},{"name":"Melendez-Gonzalez, Mayra","nameType":"Personal","givenName":"Mayra","familyName":"Melendez-Gonzalez","affiliation":["Toolik Field Station Environmental Data Center"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-3136-5964","nameIdentifierScheme":"ORCID"}]},{"name":"Jackson, Abigail","nameType":"Personal","givenName":"Abigail","familyName":"Jackson","affiliation":["Toolik Field Station Environmental Data Center"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-7807-8524","nameIdentifierScheme":"ORCID"}]},{"name":"Young, Amanda","nameType":"Personal","givenName":"Amanda","familyName":"Young","affiliation":["Toolik Field Station"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-3580-8603","nameIdentifierScheme":"ORCID"}]}],"titles":[{"lang":"en","title":"Meteorological data in five minute intervals from Toolik Field Station, Alaska (2009-2025)."}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2025,"subjects":[{"lang":"en","subject":"Arctic"},{"lang":"en","subject":"Toolik Field Station"},{"lang":"en","subject":"radiation"},{"lang":"en","subject":"PAR"},{"lang":"en","subject":"relative humidity"},{"lang":"en","subject":"wind speed"},{"lang":"en","subject":"wind direction"}],"contributors":[],"dates":[{"date":"2025","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"Weather data has been collected at Toolik Field Station (68 degrees 38'N, 149 degrees 36'W) since June 1988. The weather station located at the field station was originally installed by the Arctic Long Term Ecological Research (LTER) (ecosystems.mbl.edu/arc) and Toolik Field Station (TFS) assumed control of the station in 2007. The field station is an ideal location for maintaining long-term weather data, as it is located in a data sparse region and adds a data point along the north-south transect of the North Slope of Alaska, following along the Dalton Highway. There is year round access and a long-term pre-existing dataset. These advantages make it possible to provide quality data - an often difficult achievement in remote northern latitudes in Alaska.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A2PZ51P3R","contentUrl":null,"metadataVersion":0,"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":"2026-05-18T21:04:47Z","registered":"2026-05-18T21:04:48Z","published":null,"updated":"2026-05-18T21:04:48Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a26w96b9q","type":"dois","attributes":{"doi":"10.18739/a26w96b9q","identifiers":[],"creators":[{"name":"Tavri, Aikaterini","nameType":"Personal","givenName":"Aikaterini","familyName":"Tavri","affiliation":["Brown University"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-4808-6240","nameIdentifierScheme":"ORCID"}]},{"name":"Boutin, Guillaume","nameType":"Personal","givenName":"Guillaume","familyName":"Boutin","affiliation":["Nansen Environmental and Remote Sensing Center"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-1689-9351","nameIdentifierScheme":"ORCID"}]},{"name":"Horvat, Chris","nameType":"Personal","givenName":"Chris","familyName":"Horvat","affiliation":["Brown University"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-6512-0335","nameIdentifierScheme":"ORCID"}]},{"name":"Pearson, Brodie","nameType":"Personal","givenName":"Brodie","familyName":"Pearson","affiliation":["Oregon State University"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-0202-0481","nameIdentifierScheme":"ORCID"}]}],"titles":[{"lang":"en","title":"Langmuir Turbulence in the Arctic Ocean: Insights From a Coupled Sea Ice –Wave Model"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2026,"subjects":[{"lang":"en","subject":"sea ice"},{"lang":"en","subject":"Arctic"},{"lang":"en","subject":"Langmuir turbulence"},{"lang":"en","subject":"coupled model"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"This data set is associated with the publication Aikaterini Tavri, Chris Horvat, Brodie Pearson, Guillaume Boutin, Anne Hansen, and Ara Lee: Langmuir Turbulence in the Arctic Ocean: Insights From a Coupled Sea Ice –Wave Model (2025)\n https://doi.org/10.5194/egusphere-2025-3438\n Publication abstract:\n Upper-ocean mixing regulates the vertical transport of heat, momentum, and tracers in the ocean surface boundary layer. Langmuir turbulence (LT), generated by the interaction of wind stress and wave-induced Stokes drift, is a dominant mixing mechanism in the open ocean. Observations of LT in leads, polynyas, and the marginal ice zone (MIZ) confirm its presence in ice-covered regions, but its Arctic-wide occurrence and modulation by sea ice and waves remain limited in characterization. Here we present the first pan-Arctic assessment of LT mixing potential using a coupled sea ice–wave model integrating neXtSIM and WAVEWATCH III. Using wind–wave forcing metrics, we show that LT-relevant forcing beneath sea ice is spatially confined and highly intermittent. Conditions favorable for LT largely occur within the seasonal MIZ and arise episodically. Sea ice concentration sets the mean balance between wave- and shear-driven turbulence, but does not uniquely determine LT variability. The realization of wave-driven mixing depends on wave conditions and ice structure, while wind–wave misalignment plays a secondary role. As a result, LT in the Arctic MIZ typically occurs within mixed-forcing regimes, where wave-driven and shear-driven processes coexist. Our findings highlight the importance of wave–ice interactions and intermittency in shaping upper-ocean mixing under partial ice cover.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A26W96B9Q","contentUrl":null,"metadataVersion":0,"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":"2026-05-18T17:35:49Z","registered":"2026-05-18T17:35:50Z","published":null,"updated":"2026-05-18T17:35:50Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a2tm72352","type":"dois","attributes":{"doi":"10.18739/a2tm72352","identifiers":[],"creators":[{"name":"Hajny, Kristian","nameType":"Personal","givenName":"Kristian","familyName":"Hajny","affiliation":["Stony Brook University"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-3249-7157","nameIdentifierScheme":"ORCID"}]},{"name":"Shepson, Paul","nameType":"Personal","givenName":"Paul","familyName":"Shepson","affiliation":["Stony Brook University"],"nameIdentifiers":[]}],"titles":[{"lang":"en","title":"Complete Purdue Aircraft Dataset from Northern Alaska Measurements during spring 2022"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2026,"subjects":[{"lang":"en","subject":"Emissions"},{"lang":"en","subject":"Nitrogen Oxides"},{"lang":"en","subject":"Methane"},{"lang":"en","subject":"Atmospheric Carbon Dioxide"},{"lang":"en","subject":"Atmospheric Chemistry"},{"lang":"en","subject":"Arctic"},{"lang":"en","subject":"CHACHA"},{"lang":"en","subject":"ALAR"},{"lang":"en","subject":"mixing ratio"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"CHemistry in the Arctic: Clouds, Halogens, and Aerosols (CHACHA) was a field campaign based out of Utqiaġvik, Alaska (AK) from February to April of 2022. The primary goals of CHACHA were to improve our understanding of the influence of open leads on atmospheric mixing, chemistry, and cloud formation; to improve our understanding of the spatial distribution (horizontally and vertically) of bromine chemistry – largely through bromine monoxide (BrO) measurements; and to improve our understanding of the influence of nitrogen oxides (NOx) on bromine chemistry using the large emissions downwind of oil and gas activity to probe this chemistry. As the Arctic continues to warm at several times the global average rate we expect anthropogenic activity (e.g., oil and gas expansion, shipping, tourism) to continue increasing, leading to larger emissions of NOx. During CHACHA we collected data using a surface measurement site, the University of Wyoming King Air aircraft, and the Purdue University Airborne Laboratory for Atmospheric Research (ALAR) aircraft. This dataset represents the data collected from ALAR. This dataset includes all final ALAR data for the campaign other than BrO and NO2 data measured using the Heidelberg Airborne Imaging DOAS Instrument (HAIDI), which has been saved separately.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A2TM72352","contentUrl":null,"metadataVersion":0,"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":"2026-05-15T20:21:29Z","registered":"2026-05-15T20:21:31Z","published":null,"updated":"2026-05-15T20:21:31Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a2zc7rw9d","type":"dois","attributes":{"doi":"10.18739/a2zc7rw9d","identifiers":[],"creators":[{"name":"Tavri, Aikaterini","nameType":"Personal","givenName":"Aikaterini","familyName":"Tavri","affiliation":["Brown University"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-4808-6240","nameIdentifierScheme":"ORCID"}]},{"name":"Boutin, Guillaume","nameType":"Personal","givenName":"Guillaume","familyName":"Boutin","affiliation":["Nansen Environmental and Remote Sensing Center"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-1689-9351","nameIdentifierScheme":"ORCID"}]},{"name":"Horvat, Chris","nameType":"Personal","givenName":"Chris","familyName":"Horvat","affiliation":["Brown University"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-6512-0335","nameIdentifierScheme":"ORCID"}]},{"name":"Pearson, Brodie","nameType":"Personal","givenName":"Brodie","familyName":"Pearson","affiliation":["Oregon State University"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-0202-0481","nameIdentifierScheme":"ORCID"}]}],"titles":[{"lang":"en","title":"Langmuir Turbulence in the Arctic Ocean: Insights From a Coupled Sea Ice –Wave Model"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2026,"subjects":[{"lang":"en","subject":"sea ice"},{"lang":"en","subject":"Arctic"},{"lang":"en","subject":"Langmuir turbulence"},{"lang":"en","subject":"coupled model"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"This data set is associated with the publication Aikaterini Tavri, Chris Horvat, Brodie Pearson, Guillaume Boutin, Anne Hansen, and Ara Lee: Langmuir Turbulence in the Arctic Ocean: Insights From a Coupled Sea Ice –Wave Model (2025)\n https://doi.org/10.5194/egusphere-2025-3438\n Publication abstract:\n Upper-ocean mixing regulates the vertical transport of heat, momentum, and tracers in the ocean surface boundary layer. Langmuir turbulence (LT), generated by the interaction of wind stress and wave-induced Stokes drift, is a dominant mixing mechanism in the open ocean. Observations of LT in leads, polynyas, and the marginal ice zone (MIZ) confirm its presence in ice-covered regions, but its Arctic-wide occurrence and modulation by sea ice and waves remain limited in characterization. Here we present the first pan-Arctic assessment of LT mixing potential using a coupled sea ice–wave model integrating neXtSIM and WAVEWATCH III. Using wind–wave forcing metrics, we show that LT-relevant forcing beneath sea ice is spatially confined and highly intermittent. Conditions favorable for LT largely occur within the seasonal MIZ and arise episodically. Sea ice concentration sets the mean balance between wave- and shear-driven turbulence, but does not uniquely determine LT variability. The realization of wave-driven mixing depends on wave conditions and ice structure, while wind–wave misalignment plays a secondary role. As a result, LT in the Arctic MIZ typically occurs within mixed-forcing regimes, where wave-driven and shear-driven processes coexist. Our findings highlight the importance of wave–ice interactions and intermittency in shaping upper-ocean mixing under partial ice cover.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A2ZC7RW9D","contentUrl":null,"metadataVersion":0,"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":"2026-05-15T20:10:57Z","registered":"2026-05-15T20:10:58Z","published":null,"updated":"2026-05-15T20:10:58Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a2348gj5w","type":"dois","attributes":{"doi":"10.18739/a2348gj5w","identifiers":[],"creators":[{"name":"Pnyushkov, Andrey","nameType":"Personal","givenName":"Andrey","familyName":"Pnyushkov","affiliation":[],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-9112-6458","nameIdentifierScheme":"ORCID"}]},{"name":"Lundberg, Michael","nameType":"Personal","givenName":"Michael","familyName":"Lundberg","affiliation":[],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-3790-4586","nameIdentifierScheme":"ORCID"}]},{"name":"Polyakov, Igor","nameType":"Personal","givenName":"Igor","familyName":"Polyakov","affiliation":[],"nameIdentifiers":[]},{"name":"Batryn, Jennifer","nameType":"Personal","givenName":"Jennifer","familyName":"Batryn","affiliation":[],"nameIdentifiers":[]}],"titles":[{"lang":"en","title":"Conductivity, Temperature, Pressure (CTD) measurements from moorings taken in the Eurasian and Makarov Basins, Arctic Ocean, 2023-2025."}],"publisher":"Arctic Data Center","container":{},"publicationYear":2025,"subjects":[{"lang":"en","subject":"Eurasian and Makarov Basins of the Arctic Ocean"},{"lang":"en","subject":"NABOS"},{"lang":"en","subject":"CTD record"},{"lang":"en","subject":"moorings"}],"contributors":[],"dates":[{"date":"2025","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"Nine long-term moorings were deployed in the Eurasian and Makarov Basins of the Arctic Ocean during the Nansen and Amundsen Basins Observational System (NABOS) 2023 cruise. They were successfully recovered in September 2025. The primary goal of the mooring CTD observations was to understand the role of stratification in controlling the transport of heat and other properties of Atlantic Water to the upper ocean and ice. The primary objectives included quantifying the structure and temporal variability of the main water masses, as well as obtaining detailed information about upper ocean, halocline, AW layer dynamics, and seasonal variations. This dataset contains separate text files with outputs from each SBE-37 and RBR CTD instrument at nine moorings. All data files include a one-row header with titles for all data columns. Processing of the SBE-37 and RBR CTD records utilized standard data processing packages provided by vendors. Some instrument records required corrections of salinity to remove vertical instabilities with other instruments and spikes. Each data row in the SBE-37 and RBR CTD data files includes observations of in-situ temperature, conductivity, pressure, salinity, and date/time stamp, which contain day, month, year, hour, minutes, and seconds of measurements. All instruments used GMT for this timestamp.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A2348GJ5W","contentUrl":null,"metadataVersion":0,"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":"2026-05-14T23:38:14Z","registered":"2026-05-14T23:38:15Z","published":null,"updated":"2026-05-14T23:38:15Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}},{"id":"10.18739/a2m61bs0n","type":"dois","attributes":{"doi":"10.18739/a2m61bs0n","identifiers":[],"creators":[{"name":"Hall, Emma","nameType":"Personal","givenName":"Emma","familyName":"Hall","affiliation":["University of Illinois Urbana-Champaign"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0009-0001-5577-5060","nameIdentifierScheme":"ORCID"}]},{"name":"Lara, Mark","nameType":"Personal","givenName":"Mark","familyName":"Lara","affiliation":["University of Illinois Urbana-Champaign"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-4670-7031","nameIdentifierScheme":"ORCID"}]}],"titles":[{"lang":"en","title":"Characterization of decade-time scale change in Retrogressive Thaw Slumps across Northern Alaska, 2021-2023"}],"publisher":"NSF Arctic Data Center","container":{},"publicationYear":2025,"subjects":[{"lang":"en","subject":"Arctic Tundra"},{"lang":"en","subject":"UAS"},{"lang":"en","subject":"LiDAR"},{"lang":"en","subject":"Remote Sensing"},{"lang":"en","subject":"Thermokarst"},{"lang":"en","subject":"Permafrost"},{"lang":"en","subject":"Disturbance"}],"contributors":[],"dates":[{"date":"2025","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["text/xml"],"version":null,"rightsList":[],"descriptions":[{"lang":"en","description":"Delineations of Retrogressive Thaw Slump (RTS) expansion and light detection and ranging (LiDAR) datasets (LAS files) of RTS sites were used to model how rates of RTS change are influenced by topographic and climatic characteristics across northern Alaska. LiDAR data were collected at ten sites, where five were collected from an uncrewed aerial system (UAS) and five were collected from a terrestrial LiDAR systems (TLS). LiDAR datasets were used to bias correct the open-source ArcticDEM (2 meter-resolution) for calculating annual rates of RTS volumetric losses across all sites. RTS Delineations were used to calculate annual rates of RTS areal expansion and summarize topographic characteristics calculated from the corrected ArcticDEM. Two shapefiles were created from historic satellite and aerial imagery (1949-2021) to summarize RTS areal change across 66 slumps, located in the Brooks Foothills (n=28) and the Noatak River Valley (n=38): AK_brf_noat_RTS_ExansionDelineations.shp summarizes the area of RTS expansion between two time periods and AK_brf_noat_RTS_Delineations.shp summarizes the total RTS outline in each year where RTS expansion occurs. LiDAR UAS and TLS data are provided as LAS files from 12 slumps (five sites) near Toolik Lake and 9 slumps (5 sites) within the Noatak National Preserve.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://arcticdata.io/catalog/view/doi:10.18739/A2M61BS0N","contentUrl":null,"metadataVersion":0,"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":"2026-05-12T20:08:27Z","registered":"2026-05-12T20:08:28Z","published":null,"updated":"2026-05-12T20:08:28Z"},"relationships":{"client":{"data":{"id":"cdl.ucsb","type":"clients"}}}}],"meta":{"total":10352,"totalPages":400,"page":1},"links":{"self":"https://api.datacite.org/dois?prefix=10.18739","next":"https://api.datacite.org/dois?page%5Bnumber%5D=2\u0026page%5Bsize%5D=25\u0026prefix=10.18739"}}