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The Sedimentary Geochemistry and Paleoenvironments Project (SGP) is a scientific consortium centered around open data and community-driven development of cyberinfrastructure tools and resources for sedimentary geochemistry and Earth history. Here we describe the SGP Phase 2 data release, which focused on incorporating Paleoproterozoic and Mesoproterozoic (2500–1000 million years ago) data and better accommodating carbonate data. This data release was built through the involvement of &gt;200 researchers worldwide in academia, government, and industry, and provides the largest available public data resource for our user community in the academic fields of geochemistry, sedimentology, tectonics, paleontology, Earth history, and paleoclimate, as well as the petroleum and minerals industries. The dataset now encompasses 126,006 samples and 4,132,371 geochemical analyses. In addition to direct entry by SGP Team Members, we have ingested and incorporated datasets from the Geoscience Australia OZCHEM database, the Alberta Geological Survey, and the Deep-Time Marine Sedimentary Element Database (DM-SED) compilation. This paper details sampling in the Phase 2 dataset with respect to age, geography, lithology, and other geological characteristics, documents access via our search website and API, discusses possible issues and/or biases in the dataset that could impact analyses, describes plans for governance and stewardship of data from Indigenous lands, and serves as the citable reference paper for the data release.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2025.123148","usgsCitation":"Farrell, U., Olson, H., Thompson, M., Abshire, M.L., Adeboye, O., Ahm, A., Alcott, L., Algeo, T., Anderson, R., Ansari, A., Bastos, L., Bauer, K., Beaty, B., Birdwell, J.E., Bowyer, F., Brocks, J.J., Brunoir, T., Busch, J.F., Canfield, D., Caxito, F., Chang, C., Cheng, M., Clemente, J., Cordie, D., Crockford, P.W., Cui, H., Cunningham, C., Dahl, T., Rodrigues de Paula, J., Dehler, C., Del Mouro, L., Dewing, K., Aparecido do Carmo, D., Dornbos, S., Drabon, N., Dumoulin, J.A., 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University","active":true,"usgs":false}],"preferred":false,"id":960099,"contributorType":{"id":1,"text":"Authors"},"rank":141},{"text":"Webb, Lucy","contributorId":370283,"corporation":false,"usgs":false,"family":"Webb","given":"Lucy","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":960100,"contributorType":{"id":1,"text":"Authors"},"rank":142},{"text":"Wilby, Philip R.","contributorId":298133,"corporation":false,"usgs":false,"family":"Wilby","given":"Philip","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":960101,"contributorType":{"id":1,"text":"Authors"},"rank":143},{"text":"Woltz, Christina R.","contributorId":298134,"corporation":false,"usgs":false,"family":"Woltz","given":"Christina","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":960102,"contributorType":{"id":1,"text":"Authors"},"rank":144},{"text":"Wood, Rachel 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A.","contributorId":298137,"corporation":false,"usgs":false,"family":"Yurchenko","given":"Inessa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":960107,"contributorType":{"id":1,"text":"Authors"},"rank":148},{"text":"Zhang, Junpeng","contributorId":370287,"corporation":false,"usgs":false,"family":"Zhang","given":"Junpeng","affiliations":[{"id":12751,"text":"Nanjing Institute of Geology and Palaeontology","active":true,"usgs":false}],"preferred":false,"id":960108,"contributorType":{"id":1,"text":"Authors"},"rank":149},{"text":"Whiteside, Jessica","contributorId":370288,"corporation":false,"usgs":false,"family":"Whiteside","given":"Jessica","affiliations":[{"id":88019,"text":"San Diego State University ","active":true,"usgs":false}],"preferred":false,"id":960109,"contributorType":{"id":1,"text":"Authors"},"rank":150},{"text":"Gill, Benjamin C.","contributorId":196845,"corporation":false,"usgs":false,"family":"Gill","given":"Benjamin","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":960110,"contributorType":{"id":1,"text":"Authors"},"rank":151},{"text":"Mehra, Akshay","contributorId":298101,"corporation":false,"usgs":false,"family":"Mehra","given":"Akshay","affiliations":[],"preferred":false,"id":960111,"contributorType":{"id":1,"text":"Authors"},"rank":152},{"text":"Lau, Kimberly V.","contributorId":298139,"corporation":false,"usgs":false,"family":"Lau","given":"Kimberly","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":960112,"contributorType":{"id":1,"text":"Authors"},"rank":153},{"text":"Planavsky, Noah J.","contributorId":196840,"corporation":false,"usgs":false,"family":"Planavsky","given":"Noah","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":960113,"contributorType":{"id":1,"text":"Authors"},"rank":154},{"text":"Johnston, David 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,{"id":70275553,"text":"70275553 - 2026 - Two-stage approach to automatic detection with machine learning for improved surveillance of the invasive Cuban treefrog","interactions":[],"lastModifiedDate":"2026-05-04T15:33:56.987572","indexId":"70275553","displayToPublicDate":"2026-04-13T08:27:25","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"Two-stage approach to automatic detection with machine learning for improved surveillance of the invasive Cuban treefrog","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The Cuban treefrog (</span><i>Osteopilus septentrionalis</i><span>), as an invasive species in the southern United States, presents a need for effective surveillance. Automated detection expedites processing of audio data for large-scale surveillance and monitoring programs. However, current available methods commonly used for anuran species have not been sufficient to detect Cuban treefrogs. Here, we present results from a two-stage method for automated detection that employs both cross-correlation template matching and secondary supervised learning classifiers. In the first stage, audio data are screened for initial detections using template matching, in which the detections contain both true and false positives. In the second stage, the false positives are screened out using classifier algorithms. We used this method to process 139,985 audio recordings, consisting of 596,046 total minutes, collected at 13 locations in Louisiana and Florida from 2014 to 2022. From the stage 1 template matching, we detected 83,191 Cuban treefrog signals across recordings. The stage 2 machine learning model was able to identify stage 1 false positive detections with a testing accuracy of 98.46% and a testing false positive rate of 1.116%. After pruning false positive detections, a total of 20,271 individual Cuban treefrog detections remained, distributed mainly across 3 sites in an area with known presence. Locations with presumed absence had an easily verifiable number of false positive detections (</span><i>n</i><span>&nbsp;=&nbsp;109 across all other sites). The two-stage methodology utilizing both template matching and machine learning algorithms can be integrated into wildlife surveillance or monitoring programs for species with distinctive, conserved calls as an effective way to achieve sensitive species detection with a low incidence of false positives.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoinf.2026.103764","usgsCitation":"Huber, K., Waddle, J., Glorioso, B.M., and Donovan, T.M., 2026, Two-stage approach to automatic detection with machine learning for improved surveillance of the invasive Cuban treefrog: Ecological Informatics, v. 95, 103764, 10 p., https://doi.org/10.1016/j.ecoinf.2026.103764.","productDescription":"103764, 10 p.","ipdsId":"IP-179486","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":504174,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoinf.2026.103764","text":"Publisher Index Page"},{"id":503938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.59682098903093,\n              30.32840235701677\n            ],\n            [\n              -91.37974643263087,\n              29.071575029507784\n            ],\n            [\n              -88.87546703451804,\n              28.886613103681952\n            ],\n            [\n              -88.62225814238174,\n              29.917322662392543\n            ],\n            [\n              -86.8107919373446,\n              30.348932080727437\n            ],\n            [\n              -86.86083569259117,\n              30.577875739656974\n            ],\n            [\n              -89.18432013663814,\n              30.169644003954026\n            ],\n            [\n              -91.59682098903093,\n              30.32840235701677\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"95","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Huber, Kaitlin","contributorId":336969,"corporation":false,"usgs":false,"family":"Huber","given":"Kaitlin","affiliations":[{"id":80934,"text":"Vermont Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":960868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":222187,"corporation":false,"usgs":true,"family":"Waddle","given":"J. Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":960869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glorioso, Brad M. 0000-0002-5400-7414","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":219360,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":960870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":960871,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70275120,"text":"70275120 - 2026 - Detecting bumble bees in the wild using environmental DNA: Development and validation of a qPCR assay for the endangered Franklin’s bumble bee (Bombus franklini)","interactions":[],"lastModifiedDate":"2026-04-20T13:25:30.733089","indexId":"70275120","displayToPublicDate":"2026-04-13T07:47:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1740,"text":"Genome","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Detecting bumble bees in the wild using environmental DNA: Development and validation of a qPCR assay for the endangered Franklin’s bumble bee (<i>Bombus franklini</i>)","title":"Detecting bumble bees in the wild using environmental DNA: Development and validation of a qPCR assay for the endangered Franklin’s bumble bee (Bombus franklini)","docAbstract":"<p><span>Environmental DNA (eDNA) sampling is a noninvasive alternative to conventional methods of surveying insects that may be particularly useful for detecting pollinators. We developed a quantitative polymerase chain reaction (qPCR) assay to detect the DNA of Franklin’s bumble bee (</span><i>Bombus franklini</i><span>) from flower samples and conducted an initial test of the assay using samples collected within and around the historical range of the species. We further analyzed all samples using metabarcoding. Our qPCR assay successfully amplified&nbsp;</span><i>B. franklini</i><span>&nbsp;DNA and exhibited no cross-reactivity with nontarget bumble bee DNA during in silico and in vitro testing. We did not detect&nbsp;</span><i>B. franklini</i><span>&nbsp;DNA from field-collected flower samples using either qPCR or metabarcoding. However, metabarcoding analysis revealed DNA of at least 16 other bumble bee species. This finding underscores the potential utility of eDNA sampling for surveying bumble bees. Nondetection of&nbsp;</span><i>B. franklini</i><span>&nbsp;from field-collected flower samples may be due to the extreme rarity of the species;&nbsp;</span><i>B. franklini</i><span>&nbsp;is endangered and has not been observed in the wild since 2006. Our&nbsp;</span><i>B. franklini</i><span>&nbsp;assay is among the first bee-specific qPCR assays ever developed and provides proof of concept for additional assays that may improve detection rates of rare and endangered bees.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/gen-2025-0006","usgsCitation":"Grossklaus, M.R., Pilliod, D.S., Spear, S.F., Laramie, M.B., Kholwadwala, A., Boone, A., Lor, Y., Kaminski, M., and Everett, J.G., 2026, Detecting bumble bees in the wild using environmental DNA: Development and validation of a qPCR assay for the endangered Franklin’s bumble bee (Bombus franklini): Genome, v. 69, 13 p., https://doi.org/10.1139/gen-2025-0006.","productDescription":"13 p.","ipdsId":"IP-175306","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":504057,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1XC2IIC","text":"USGS data release","linkHelpText":"Code to analyze data from the Development and validation of an eDNA assay for detection of the endangered Franklin's bumble bee (Bombus franklini) paper"},{"id":503433,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/gen-2025-0006","text":"Publisher Index Page"},{"id":503198,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.84620543623409,\n              43.49784888305871\n            ],\n            [\n              -124.06679236522423,\n              42.51824449860449\n            ],\n            [\n              -123.71427487746693,\n              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Center","active":false,"usgs":true}],"preferred":true,"id":959566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":218009,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":959567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spear, Stephen Frank 0000-0001-8351-9382","orcid":"https://orcid.org/0000-0001-8351-9382","contributorId":293162,"corporation":false,"usgs":true,"family":"Spear","given":"Stephen","email":"","middleInitial":"Frank","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":959568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laramie, Matthew B B. 0000-0001-7820-2583","orcid":"https://orcid.org/0000-0001-7820-2583","contributorId":334384,"corporation":false,"usgs":false,"family":"Laramie","given":"Matthew B","middleInitial":"B.","affiliations":[{"id":64954,"text":"Bureau of Indian Affairs","active":true,"usgs":false}],"preferred":false,"id":959569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kholwadwala, Akhil","contributorId":370041,"corporation":false,"usgs":false,"family":"Kholwadwala","given":"Akhil","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":959570,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boone, Amanda Jean 0000-0002-6579-2569","orcid":"https://orcid.org/0000-0002-6579-2569","contributorId":349758,"corporation":false,"usgs":true,"family":"Boone","given":"Amanda Jean","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":959571,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lor, Yer 0000-0002-5738-2412","orcid":"https://orcid.org/0000-0002-5738-2412","contributorId":210011,"corporation":false,"usgs":true,"family":"Lor","given":"Yer","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":959572,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kaminski, Marissa 0000-0003-4127-8685","orcid":"https://orcid.org/0000-0003-4127-8685","contributorId":331025,"corporation":false,"usgs":true,"family":"Kaminski","given":"Marissa","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":959573,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Everett, Jeffrey G.","contributorId":302932,"corporation":false,"usgs":false,"family":"Everett","given":"Jeffrey","middleInitial":"G.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":959574,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70275192,"text":"70275192 - 2026 - Initial condition uncertainty exerts a large and persistent influence on model simulations of ecosystem carbon dynamics in California","interactions":[],"lastModifiedDate":"2026-04-22T14:41:53.267617","indexId":"70275192","displayToPublicDate":"2026-04-13T07:37:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22185,"text":"Environmental Research: Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Initial condition uncertainty exerts a large and persistent influence on model simulations of ecosystem carbon dynamics in California","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Uncertainties in terrestrial ecosystem models limit their predictive power. Efforts to reduce projection error have rarely focused on constraining uncertainty in the initial state of the ecosystem, however, despite evidence that matching model initial conditions to real-world observations reduces overall model bias. Here we use an integrated land change and carbon gain-loss model to evaluate the influence of initial condition uncertainty on simulations of California wildland ecosystems during the years 1985–2020. We generated 36 initial conditions scenarios by varying the source data used to initialize state variables and then ran simulations based on each of these scenarios under a constant set of historical conditions. We found that discrepancies in initial forest extent and initial forest age among scenarios generated wide uncertainty ranges in model estimates of terrestrial ecosystem carbon stocks and flux rates at the outset of the simulation period, but differences in initial forest composition had no impact. Over time, forest age became more homogeneous across model scenarios leading to exponential rates of decline in the uncertainty ranges of live biomass and dead wood carbon but little to no impact on uncertainties in litter and soil organic carbon. Uncertainties in individual carbon flux rates were consistent with uncertainties in their source pools. In contrast, model estimates of ecosystem carbon balance demonstrated a shift in system behavior not apparent in trends for individual carbon stocks and fluxes. Specifically, estimates of ecosystem carbon balance converged across scenarios for the first 20 years of the simulation period but then began to diverge at an accelerating rate, possibly due to weakened resilience to the increased frequency and severity of climate-driven disturbances. Our results demonstrate that uncertainty in the initial state of the system can have large and persistent impacts on the predictability of ecosystem carbon dynamics, and that ongoing shifts in external forcing by climate and climate-driven disturbances can exacerbate these impacts.</span></span></p>","language":"English","publisher":"IOP Publishing","doi":"10.1088/2752-664X/ae565f","usgsCitation":"Selmants, P.C., Sleeter, B., and Daniel, C.J., 2026, Initial condition uncertainty exerts a large and persistent influence on model simulations of ecosystem carbon dynamics in California: Environmental Research: Ecology, v. 5, no. 2, 025001, 20 p., https://doi.org/10.1088/2752-664X/ae565f.","productDescription":"025001, 20 p.","ipdsId":"IP-182837","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":504058,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P137ZDHO","text":"USGS data 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 \"}}]}","volume":"5","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-04-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Selmants, Paul C. 0000-0001-6211-3957 pselmants@usgs.gov","orcid":"https://orcid.org/0000-0001-6211-3957","contributorId":192591,"corporation":false,"usgs":true,"family":"Selmants","given":"Paul","email":"pselmants@usgs.gov","middleInitial":"C.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":959925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":339877,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin M.","affiliations":[],"preferred":true,"id":959926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daniel, Colin J. 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,{"id":70276412,"text":"70276412 - 2026 - Channel morphology and large wood control postfire debris-flow erosion and deposition","interactions":[],"lastModifiedDate":"2026-06-04T15:21:04.88419","indexId":"70276412","displayToPublicDate":"2026-04-12T08:10:59","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Channel morphology and large wood control postfire debris-flow erosion and deposition","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Runoff-generated debris flows are a known response to wildfire, and accurately predicting the volume of these debris flows is important for estimating the magnitude of downstream hazards. Prior data collection efforts have focused on debris-flow volume measurements at catchment outlets, but few studies have considered how erosion and deposition modulate the volume of sediment arriving at catchment outlets. This study takes advantage of a high-resolution dataset to document the factors that control the total debris-flow volume reaching the catchment outlet during a fatal postfire debris flow. Using pre- and post-event airborne lidar, satellite imagery and field mapping, we found that a postfire debris flow in the Black Hollow catchment in northern Colorado eroded 136,000 ± 30,000 m</span><sup>3</sup><span>&nbsp;and redeposited 27,000 ± 7,500 m</span><sup>3</sup><span>&nbsp;in the main channel. Most of the in-channel deposition (52% by volume) occurred where a confined channel reach transitioned to an unconfined channel reach downstream, allowing the flow to widen and deposit material. Wood jams played multiple roles in the debris-flow dynamics, both nucleating deposition (25% of the deposit volume was stored behind wood jams) and exacerbating erosion (50% of the total erosion occurred downstream from a wood dam break). The remaining deposition occurred due to spatial changes in channel slope as well as deposition observed at newly formed channel bars. Using these data in this study, we identified topographic and vegetation metrics that can be used (pre-event) to anticipate where deposition may occur in channels prior to a debris flow.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.70287","usgsCitation":"Rengers, F.K., Stoker, J.M., Kostelnik, J., Kean, J.W., Wohl, E.E., Barnhart, K.R., and Guido, L.E., 2026, Channel morphology and large wood control postfire debris-flow erosion and deposition: Earth Surface Processes and Landforms, v. 51, no. 4, e70287, 13 p., https://doi.org/10.1002/esp.70287.","productDescription":"e70287, 13 p.","ipdsId":"IP-170524","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":505058,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.70287","text":"Publisher Index Page"},{"id":504998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Black Hollow","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.8998964,\n              40.6376787\n            ],\n            [\n              -104.8998964,\n              40.6376787\n            ],\n            [\n              -104.8998964,\n              40.6376787\n            ],\n            [\n              -104.8998964,\n              40.6376787\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.89825097286936,\n              40.63651931644344\n            ],\n            [\n              -104.8713368174039,\n              40.63651931644344\n            ],\n            [\n              -104.8713368174039,\n              40.622069349338375\n            ],\n            [\n              -104.89825097286936,\n              40.622069349338375\n            ],\n            [\n              -104.89825097286936,\n              40.63651931644344\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"51","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":962354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stoker, Jason M. 0000-0003-2455-0931 jstoker@usgs.gov","orcid":"https://orcid.org/0000-0003-2455-0931","contributorId":3021,"corporation":false,"usgs":true,"family":"Stoker","given":"Jason","email":"jstoker@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":962355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kostelnik, Jaime 0000-0002-1817-5461","orcid":"https://orcid.org/0000-0002-1817-5461","contributorId":300717,"corporation":false,"usgs":true,"family":"Kostelnik","given":"Jaime","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science 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0000-0001-5682-455X","orcid":"https://orcid.org/0000-0001-5682-455X","contributorId":257870,"corporation":false,"usgs":true,"family":"Barnhart","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":962359,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guido, Lauren Elizabeth 0000-0003-4449-560X","orcid":"https://orcid.org/0000-0003-4449-560X","contributorId":371791,"corporation":false,"usgs":true,"family":"Guido","given":"Lauren","middleInitial":"Elizabeth","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":962360,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70275364,"text":"70275364 - 2026 - The Climate Hazards Center Infrared Precipitation with Stations, version 3","interactions":[],"lastModifiedDate":"2026-05-19T15:42:18.853167","indexId":"70275364","displayToPublicDate":"2026-04-11T08:47:50","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"The Climate Hazards Center Infrared Precipitation with Stations, version 3","docAbstract":"<p><span>The Climate Hazards Center Infrared Precipitation with Stations (CHIRPS) data stream combines: (1) a high-resolution climatology, (2) thermal infrared (TIR) geostationary satellite observations, and (3) station observations. In the past, CHIRPS version 2 (CHIRPS2) has proven to be valuable for drought monitoring, hydrologic modeling, scientific studies and agricultural decision making. Version 3 (CHIRPS3) improves each of these components. The new version, CHIRPS3 extends to 60°S/N, adopts an improved variance-preserving TIR-to-precipitation estimation method, uses many more stations and station sources than the original CHIRPS2 product, and implements gauge-undercatch correction. In this paper, we evaluate the performance of satellite-only CHIRP3, CHIRP2, IMERG, PERSIANN- CCS, and GPI using high quality interpolated data in twelve regions with dense station coverage. CHIRP3 represents both the observed mean and variance more accurately than CHIRP2. A usage section in Morocco shows that CHIRPS3 better captures the observed rainfall variability when compared to CHIRPS2. This section also demonstrates how station data should be gauge-undercatch-corrected when validating CHIRPS3.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41597-026-07096-4","usgsCitation":"Funk, C., Peterson, P., Harrison, L., Saldivar, R., Landsfeld, M., Pedreros, D., Shukla, S., Fink, A.H., Davenport, F., Peterson, S.H., Turner, W., Sonnier, A., Budde, M., Tabor, K., Verdin, J., Hauzaree, D., Naim, M., Alaso, D., and Husak, G., 2026, The Climate Hazards Center Infrared Precipitation with Stations, version 3: Scientific Data, v. 13, 78, 24 p., https://doi.org/10.1038/s41597-026-07096-4.","productDescription":"78, 24 p.","ipdsId":"IP-182849","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":504155,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41597-026-07096-4","text":"Publisher Index Page"},{"id":503879,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2026-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Funk, Chris","contributorId":302160,"corporation":false,"usgs":false,"family":"Funk","given":"Chris","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":960716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Pete","contributorId":337013,"corporation":false,"usgs":false,"family":"Peterson","given":"Pete","affiliations":[{"id":80950,"text":"UCSB Climate Hazards Center","active":true,"usgs":false}],"preferred":false,"id":960717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harrison, Laura","contributorId":192382,"corporation":false,"usgs":false,"family":"Harrison","given":"Laura","email":"","affiliations":[],"preferred":false,"id":960718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saldivar, Robert","contributorId":370741,"corporation":false,"usgs":false,"family":"Saldivar","given":"Robert","affiliations":[{"id":80950,"text":"UCSB Climate Hazards Center","active":true,"usgs":false}],"preferred":false,"id":960719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Landsfeld, Martin","contributorId":192380,"corporation":false,"usgs":false,"family":"Landsfeld","given":"Martin","affiliations":[],"preferred":false,"id":960720,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pedreros, Diego 0000-0001-9943-7373 pedreros@usgs.gov","orcid":"https://orcid.org/0000-0001-9943-7373","contributorId":4195,"corporation":false,"usgs":true,"family":"Pedreros","given":"Diego","email":"pedreros@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":960721,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shukla, Shraddhanand","contributorId":145841,"corporation":false,"usgs":false,"family":"Shukla","given":"Shraddhanand","affiliations":[{"id":16255,"text":"Climate Hazards Group University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":960722,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fink, Andreas H.","contributorId":370744,"corporation":false,"usgs":false,"family":"Fink","given":"Andreas","middleInitial":"H.","affiliations":[{"id":39624,"text":"Karlsruhe Institute of 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,{"id":70274764,"text":"sir20265141 - 2026 - Phytoplankton responses to experimental nitrogen and phosphorus loading in the eutrophic and colored Caloosahatchee River, Florida","interactions":[],"lastModifiedDate":"2026-04-10T19:24:09.199907","indexId":"sir20265141","displayToPublicDate":"2026-04-10T11:27:30","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5141","displayTitle":"Phytoplankton Responses to Experimental Nitrogen and Phosphorus Loading in the Eutrophic and Colored Caloosahatchee River, Florida","title":"Phytoplankton responses to experimental nitrogen and phosphorus loading in the eutrophic and colored Caloosahatchee River, Florida","docAbstract":"<p>The Caloosahatchee River, located in southwest Florida, is a eutrophic and colored river that flows from Lake Okeechobee westward into its estuary and the Gulf of America. Cyanobacterial harmful algal blooms (HABs) are a documented problem along this freshwater-to-marine waterway where nutrient enrichment has been identified as a key factor in bloom occurrence but has not been experimentally tested in the river. This study is the first to test the effects of inorganic nutrient loading on phytoplankton assemblages in the Caloosahatchee River and the effects of different nutrient sources on phytoplankton dynamics at different times of the year. Three independent, in situ experiments were conducted to test the effects of daily, incrementally increased ammonium, nitrate, and phosphate loading on phytoplankton at different times of the year (summer, fall, winter). Over the 72-hour enclosure period, phytoplankton abundance metrics (cell concentration, chlorophyll-<i>a</i>, and phycocyanin), dissolved oxygen, and pH increased, and fluorescent dissolved organic matter and turbidity decreased in all treatments and controls. Increased phytoplankton abundance metrics relative to controls were observed after 72 hours of exposure to elevated ammonium and nitrate in summer and only ammonium in winter, suggesting periodic nitrogen limitation; however, no treatment effects on phytoplankton assemblage structure in terms of resemblance and diversity metrics were found. Increases in total cell concentrations were driven by elevated growth rates of already dominant taxa but not sufficiently to form a visible bloom. Cyanobacteria consistently dominated the phytoplankton, particularly <i>Aphanocapsa</i> and <i>Merismopedia</i>, whereas the common HAB-forming <i>Microcystis </i>maintained consistently low abundance. This study provides new information on the ecology of phytoplankton assemblages in the Caloosahatchee River and could be used by water resources managers to evaluate strategies for controlling cyanobacterial HABs in the river.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265141","issn":"2328-0328","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Nova Southeastern University, and Florida Gulf Coast University","programNote":"Environmental Health Program","usgsCitation":"Mazzei, V., Loftin, K.A., Karwacki, E., Lopez, J.V., Krausfeldt, L.E., Rosen, B.H., and Urakawa, H., 2026, Phytoplankton responses to experimental nitrogen and phosphorus loading in the eutrophic and colored Caloosahatchee River, Florida: U.S. Geological Survey Scientific Investigations Report 2026–5141, 32 p., https://doi.org/10.3133/sir20265141.","productDescription":"Report: x, 32 p.; 3 Data 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Release","linkHelpText":"Caloosahatchee River nutrient enrichment mesocosms—Phytoplankton taxonomic quantification September 2019, June 2020, September 2020, February 2021"},{"id":502321,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P900BQZR","text":"USGS Data Release","linkHelpText":"Water-quality profiles within the Caloosahatchee River and twelve fiberglass tanks, during experimental nutrient addition treatments, 2020"},{"id":502317,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5141/sir20265141.pdf","size":"10.63 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5141"},{"id":502309,"rank":1,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5141/images"},{"id":502310,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5141/coverthb4.jpg"},{"id":502325,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265141/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5141 HTML"}],"country":"United States","state":"Florida","otherGeospatial":"Caloosahatchee River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80,\n              27.33\n            ],\n            [\n              -82.5,\n              27.33\n            ],\n            [\n              -82.5,\n              26.4\n            ],\n            [\n              -80,\n              26.4\n            ],\n            [\n              -80,\n              27.33\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<div>Director, <a data-mce-href=\"https://www.usgs.gov/centers/car-fl-water\" href=\"https://www.usgs.gov/centers/car-fl-water\">Caribbean-Florida Water Science Center</a><br>U.S. Geological Survey&nbsp;<br>7595 SW 33d St.<br>Davie, FL 33314</div><p><a id=\"LPlnkOWAb30f03cb-e6c0-c412-988f-235c353ce0b0\" class=\"OWAAutoLink\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Area</li><li>Methods</li><li>Results</li><li>Discussion and Conclusions</li><li>References Cited</li><li>Appendix 1. Supplemental Tables and Figures</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2026-04-10","noUsgsAuthors":false,"publicationDate":"2026-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Mazzei, Viviana 0000-0001-8614-0693 vmazzei@usgs.gov","orcid":"https://orcid.org/0000-0001-8614-0693","contributorId":296094,"corporation":false,"usgs":true,"family":"Mazzei","given":"Viviana","email":"vmazzei@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":205662,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":958968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karwacki, Emily","contributorId":369436,"corporation":false,"usgs":false,"family":"Karwacki","given":"Emily","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":true,"id":958974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lopez, Jose V. 0000-0002-1637-4125","orcid":"https://orcid.org/0000-0002-1637-4125","contributorId":338248,"corporation":false,"usgs":false,"family":"Lopez","given":"Jose","middleInitial":"V.","affiliations":[{"id":81098,"text":"Department of Biological Sciences, Nova Southeastern University, Dania Beach, FL","active":true,"usgs":false}],"preferred":false,"id":958970,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krausfeldt, Lauren E. 0000-0001-7405-427X","orcid":"https://orcid.org/0000-0001-7405-427X","contributorId":338239,"corporation":false,"usgs":false,"family":"Krausfeldt","given":"Lauren","middleInitial":"E.","affiliations":[{"id":81098,"text":"Department of Biological Sciences, Nova Southeastern University, Dania Beach, FL","active":true,"usgs":false}],"preferred":false,"id":958971,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosen, Barry H. 0000-0002-8016-3939 brosen@usgs.gov","orcid":"https://orcid.org/0000-0002-8016-3939","contributorId":2844,"corporation":false,"usgs":true,"family":"Rosen","given":"Barry","email":"brosen@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":958972,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Urakawa, Hidetoshi 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,{"id":70274765,"text":"sir20265128 - 2026 - Occurrence of cyanobacteria and associated cyanotoxins in the Raritan Basin Water Supply Complex, New Jersey, August 2020 to August 2021","interactions":[],"lastModifiedDate":"2026-04-27T15:32:44.426198","indexId":"sir20265128","displayToPublicDate":"2026-04-10T09:37:30","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5128","displayTitle":"Occurrence of Cyanobacteria and Associated Cyanotoxins in the Raritan Basin Water Supply Complex, New Jersey, August 2020 to August 2021","title":"Occurrence of cyanobacteria and associated cyanotoxins in the Raritan Basin Water Supply Complex, New Jersey, August 2020 to August 2021","docAbstract":"<p>Harmful algal blooms, particularly cyanobacteria harmful algal blooms (cyanoHABs), have emerged as a substantial global concern because of their detrimental effects on water quality and aquatic ecosystem health. CyanoHABs can produce cyanotoxins, which pose serious health risks to humans and wildlife, such as liver failure and respiratory distress. This is particularly concerning for water bodies that serve as drinking-water sources. Recent trends indicate an increase in the frequency and intensity of cyanoHABs globally. This study focuses on the Raritan Basin Water Supply Complex in New Jersey, where extensive monitoring was conducted from August 2020 to August 2021 to assess the presence of cyanobacteria and associated cyanotoxins. The research utilized a combination of discrete water-quality sampling, continuous monitoring, and solid phase adsorption toxin tracking (SPATT) to capture the dynamics of cyanotoxin occurrence and potential transport. Findings revealed a widespread presence of cyanobacteria and potential for cyanotoxin production, although actual cyanotoxin concentrations remained below drinking water and recreational thresholds. The study, conducted by the U.S. Geological Survey (USGS) in collaboration with the New Jersey Water Supply Authority (NJWSA) and the New Jersey Department of Environmental Protection (NJDEP), highlighted the limitations of traditional sampling methods and emphasized that continuous monitoring can support better understanding of how cyanoHAB conditions change over time and in different places. Genetic testing included quantitative polymerase chain reaction (qPCR) analyses, which demonstrated higher sensitivity, or increased findings of cyanobacteria compared to microscopy, indicating the potential for use in early warning systems. This research underscores that integrating various detection methods and hydrological data can enhance understanding of cyanotoxin dynamics in river systems.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265128","collaboration":"Prepared in cooperation with the New Jersey Water Supply Authority and the New Jersey Department of Environmental Protection","programNote":"Water Availability and Use Science Program","usgsCitation":"Gorney, R.M., Heckathorn, H.A., Clonan, K.R., Reilly, P.A., Cahalane, K., and Bjorklund, B.W., 2026, Occurrence of cyanobacteria and associated cyanotoxins in the Raritan Basin Water Supply Complex, New Jersey, August 2020 to August 2021: U.S. Geological Survey Scientific Investigations Report 2026–5128, 30 p., https://doi.org/10.3133/sir20265128.","productDescription":"Report, ix, 30 p.; Data Release","numberOfPages":"30","onlineOnly":"Y","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":502716,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119360.htm","linkFileType":{"id":5,"text":"html"}},{"id":502326,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5128/coverthb3.jpg"},{"id":502327,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5128/sir20265128.pdf","text":"Report","size":"6.47 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5128 PDF"},{"id":502329,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5128/sir20265128.XML","description":"SIR 2026-5128 XML"},{"id":502330,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5128/images"},{"id":502328,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265128/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5128 HTML"},{"id":502331,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1S5DQ6A","text":"USGS Data Release","linkHelpText":"Cyanobacteria, other water-quality, and discharge data collected from the Raritan River Basin, New Jersey, August 2020 through August 2021"}],"country":"United States","state":"New Jersey","otherGeospatial":"Raritan Basin Water Supply Complex","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.0833,\n              40.9167\n            ],\n            [\n              -75.0833,\n              40.0167\n            ],\n            [\n              -74.1667,\n              40.0167\n            ],\n            [\n              -74.1667,\n              40.9167\n            ],\n            [\n              -75.0833,\n              40.9167\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nj@usgs.gov\" data-mce-href=\"mailto:dc_nj@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-jersey-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/new-jersey-water-science-center\">New Jersey Water Science Center</a><br>U.S. Geological Survey<br>3450 Princeton Pike, Suite 110<br>Lawrenceville, New Jersey 08648</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Area</li><li>Methods</li><li>Quality Assurance and Quality Control</li><li>Environmental Variable Results</li><li>Phytoplankton Identification and Enumeration</li><li>Cyanobacteria Genes</li><li>Cyanotoxin Analyses</li><li>Passive Samplers</li><li>Comparative Analysis</li><li>Association Between Biological Response and Environmental Variables</li><li>Conclusions</li><li>Limitations</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2026-04-10","noUsgsAuthors":false,"publicationDate":"2026-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Gorney, Rebecca M. 0000-0003-4406-261X","orcid":"https://orcid.org/0000-0003-4406-261X","contributorId":317259,"corporation":false,"usgs":true,"family":"Gorney","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heckathorn, Heather A. 0000-0002-7195-5889","orcid":"https://orcid.org/0000-0002-7195-5889","contributorId":330272,"corporation":false,"usgs":true,"family":"Heckathorn","given":"Heather A.","affiliations":[{"id":470,"text":"New Jersey Water Science 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0000-0003-0879-766X","orcid":"https://orcid.org/0000-0003-0879-766X","contributorId":330275,"corporation":false,"usgs":true,"family":"Cahalane","given":"Kathryn","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958980,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bjorklund, Bradley W. 0000-0001-8985-8131","orcid":"https://orcid.org/0000-0001-8985-8131","contributorId":224350,"corporation":false,"usgs":true,"family":"Bjorklund","given":"Bradley","middleInitial":"W.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958981,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70275153,"text":"70275153 - 2026 - The WOAH global wildlife health collaborating centre network (WOAH-WildNet): A coordinated and transformative approach to global wildlife health challenges","interactions":[],"lastModifiedDate":"2026-04-17T15:15:44.207955","indexId":"70275153","displayToPublicDate":"2026-04-10T07:58:38","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17139,"text":"PLOS Sustainability and Transformation","active":true,"publicationSubtype":{"id":10}},"title":"The WOAH global wildlife health collaborating centre network (WOAH-WildNet): A coordinated and transformative approach to global wildlife health challenges","docAbstract":"<p><span>Wildlife health is integral to functioning, complex ecosystems [</span>1<span>], directly and indirectly influencing the health of people, animals, plants, and the environment [</span>2<span>–</span>4<span>]. Healthy wildlife populations are essential for ecosystem services and are at the heart of the One Health approach [</span>3<span>,</span>4<span>], which aims to sustainably balance and optimize the health of people, animals, and ecosystems through multisectoral and transdisciplinary collaboration [</span>5<span>].</span></p><p><span>Despite its importance, wildlife health initiatives often operate in silos, limiting capacity to address transboundary threats such as emerging diseases, pollution, and environmental changes. Anthropogenic changes, including habitat loss, degradation, fragmentation, and unsustainable harvesting, exacerbate wildlife health challenges [6–9]. These pressures disrupt species biology and alter host-pathogen dynamics [10–12], underscoring the importance of coordinated collective action in addressing harmful effects on the health of wild animals. While local conservation efforts are vital, long-term success in safeguarding biodiversity requires a unified, global network. For instance, without harmonized surveillance and response systems, individual institutions cannot effectively track pathogens across borders or share diagnostic capabilities.</span></p><p><span>The World Organisation for Animal Health (WOAH) Collaborating Centre Network for Wildlife Health—WOAH-WildNet—was established to bridge these gaps. By fostering global collaboration, sharing resources, and enabling data exchange, WOAH-WildNet provides a transformative, systems-based approach to wildlife health, managing risks, and enhancing ecosystem resilience. Central to this mission is breaking down silos to promote intersectoral coordinated responses to complex wildlife health challenges.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pstr.0000228","usgsCitation":"Hayman, D.T., Unwin, S., Bateman, K., Behravesh, C.B., Berg, C., Bergfeld, J., Casalone, C., Cayol, C., Davis, E., Ekesi, S., Esterhuizen, J., Getahun, M., Giorda, F., Hamilton, K., Joly, D.O., Kuhn, C., Manuguerra, J., Masig, D., Michel, A., Mulatti, P., Mulumba, M., Njui, A., Paley, R., Fernandez, A., Knauf, S., Tchouassi, D.P., Wang, Y., Vachiery, N., Villinger, J., Wong, F.Y., Zhong, G., and Shetty, B., 2026, The WOAH global wildlife health collaborating centre network (WOAH-WildNet): A coordinated and transformative approach to global wildlife health challenges: PLOS Sustainability and Transformation, v. 5, no. 4, e0000228, 6 p., https://doi.org/10.1371/journal.pstr.0000228.","productDescription":"e0000228, 6 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France","active":true,"usgs":false}],"preferred":false,"id":959702,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Tchouassi, David Poumo","contributorId":370127,"corporation":false,"usgs":false,"family":"Tchouassi","given":"David","middleInitial":"Poumo","affiliations":[{"id":87960,"text":"International Centre of Insect Physiology and Ecology, Nairobi, Kenya","active":true,"usgs":false}],"preferred":false,"id":959703,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Wang, Youming","contributorId":370128,"corporation":false,"usgs":false,"family":"Wang","given":"Youming","affiliations":[{"id":87967,"text":"China Animal Health and Epidemiology Center, Qingdao, China","active":true,"usgs":false}],"preferred":false,"id":959704,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Vachiery, Nathalie","contributorId":370129,"corporation":false,"usgs":false,"family":"Vachiery","given":"Nathalie","affiliations":[{"id":87968,"text":"Centre de coopération internationale en recherche agronomique pour le développement, France","active":true,"usgs":false}],"preferred":false,"id":959705,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Villinger, Jandouwe","contributorId":370130,"corporation":false,"usgs":false,"family":"Villinger","given":"Jandouwe","affiliations":[{"id":87960,"text":"International Centre of Insect Physiology and Ecology, Nairobi, Kenya","active":true,"usgs":false}],"preferred":false,"id":959706,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Wong, Frank Y.K.","contributorId":370131,"corporation":false,"usgs":false,"family":"Wong","given":"Frank","middleInitial":"Y.K.","affiliations":[{"id":87958,"text":"Commonwealth Scientific and Industrial Research Organisation, Australia","active":true,"usgs":false}],"preferred":false,"id":959707,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Zhong, Gongxun","contributorId":370133,"corporation":false,"usgs":false,"family":"Zhong","given":"Gongxun","affiliations":[{"id":87969,"text":"Harbin Veterinary Research Institute, Harbin, China","active":true,"usgs":false}],"preferred":false,"id":959708,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Shetty, B. Dharmaveer","contributorId":370134,"corporation":false,"usgs":false,"family":"Shetty","given":"B. Dharmaveer","affiliations":[{"id":87971,"text":"World Organisation for Animal Health, Paris, France","active":true,"usgs":false}],"preferred":false,"id":959709,"contributorType":{"id":1,"text":"Authors"},"rank":32}]}}
,{"id":70274762,"text":"sir20265138 - 2026 - Arsenic and isotope concentrations in the lower Platte River valley of eastern Nebraska, early 1970s to 2023","interactions":[],"lastModifiedDate":"2026-04-16T17:22:01.249485","indexId":"sir20265138","displayToPublicDate":"2026-04-09T15:06:02","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5138","displayTitle":"Arsenic and Isotope Concentrations in the Lower Platte River Valley of Eastern Nebraska, early 1970s to 2023.","title":"Arsenic and isotope concentrations in the lower Platte River valley of eastern Nebraska, early 1970s to 2023","docAbstract":"<p>The City of Lincoln, Nebraska, has been monitoring concentrations of arsenic in their source water and evaluating their options for treatment and removal since at least 2002. In 2022, the City of Lincoln, Nebr., with funding assistance from the Nebraska Water Sustainability Fund, began cooperating with the U.S. Geological Survey to examine arsenic concentrations in surface water and groundwater in the lower Platte River valley and the area around City of Lincoln Water System (LWS) well field. Arsenic data collected from the Platte River since 1974 were examined using the “weighted regression on time, discharge, and season” model, which compared the streamflow (also referred to as “discharge”), time of year, and season to estimate concentrations of arsenic. Annual mean arsenic concentrations modeled for more than 49 years at the Platte River at Louisville, Nebr., U.S. Geological Survey streamgage (station 06805500), indicated a significant increasing trend. Arsenic concentrations in the Platte River were seasonal, with the highest concentrations being observed during mid- to late summer. When seasonal patterns and streamflow were combined with arsenic concentrations in the Platte River during low streamflow conditions, groundwater contributions, which can have higher arsenic concentrations, make up a larger portion of the streamflow. Arsenic samples were collected from upstream rivers in 2022 and 2023 and were paired to analyze the arsenic contributions at the U.S. Geological Survey streamgage on the Platte River near Ashland, Nebr. (station 06801000), near the City of Lincoln well field. The arsenic concentrations from the streamgage on the Platte River near Ashland, Nebr., location, were higher than the U.S. Geological Survey streamgage on the Elkhorn River at Waterloo, Nebr. (station 06800500), and significantly lower than at the U.S. Geological Survey streamgage on the Platte River near Leshara, Nebr.(station 06796500), indicating that the Platte River usually contributes a higher concentration of arsenic than does the Elkhorn River as they join near Ashland, Nebr. During 1991–2023, six groundwater monitoring wells were analyzed to identify trends in arsenic concentrations. Two of the six wells had a positive trend during the 33-year period. One monitoring well did not reveal a long-term trend during this period but showed a trend during 2019–23, correlating to a period when the island in the middle of the Platte River was connected to the east bank of the river when manganese reducing conditions were present and groundwater levels were declining in the well. Across all wells the oxidation and reduction (redox) condition during the time of sampling was assessed. Mixed anoxic and (or) oxic redox condition was the most common redox process and the highest sampled arsenic concentrations in monitoring wells were observed in anoxic conditions driven by manganese reduction. Groundwater arsenic concentrations had seasonal variation around the City of Lincoln well field, with higher arsenic concentrations tending to be further south in comparison to samples collected further north. Isotope samples were collected and analyzed in surface water and groundwater around the LWS well field. The samples indicate that the proportion of surface water present in the LWS production wells can be higher in the spring and lower in the summer. With higher arsenic concentrations observed in the stream water during the summer period, the LWS source water can be affected by these elevated arsenic concentrations even though the proportion of surface water is lower.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265138","collaboration":"Prepared in cooperation with City of Lincoln, Nebraska","usgsCitation":"Moser, M.T., Cherry, M.L., and Hall, B.M., 2026, Arsenic and isotope concentrations in the lower Platte River valley of eastern Nebraska, early 1970s to 2023: U.S. Geological Survey Scientific Investigations Report 2026–5138, 23 p., https://doi.org/10.3133/sir20265138.","productDescription":"Report: vii; 23 p.; Data Release; Dataset","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-161400","costCenters":[{"id":84311,"text":"Central Plains Water Science Center","active":true,"usgs":true}],"links":[{"id":502306,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS data release"},{"id":502305,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5138/images"},{"id":502304,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265138/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5138 HTML"},{"id":502303,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5138/sir20265138.pdf","text":"Report","size":"5.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5138"},{"id":502302,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5138/coverthb.jpg"},{"id":502715,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119359.htm","linkFileType":{"id":5,"text":"html"}},{"id":502308,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5138/sir20265138.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2026-5138 XML"},{"id":502307,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://www.usgs.gov/mission-areas/water-resources/science/usgs-national-water-quality-network","text":"USGS National Water Quality Network"}],"country":"United States","state":"Nebraska","otherGeospatial":"lower Platte River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -95.95,\n              41.667\n            ],\n            [\n              -97,\n              41.667\n            ],\n            [\n              -97,\n              40.667\n            ],\n            [\n              -95.95,\n              40.667\n            ],\n            [\n              -95.95,\n              41.667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/central-plains-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/central-plains-water-science-center\">Central Plains Water Science Center</a><br>U.S. Geological Survey<br>1217 Biltmore Drive Lawrence, KS 66049<br>5231 South 19th Street Lincoln, NE 68512</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Sample Collection and Analysis Methods<br></li><li>Arsenic Assessments in the Lower Platte River</li><li>Arsenic Concentrations in Groundwater around the Lincoln Well Field</li><li>Using Stable Isotopes to Estimate Recharge Sources</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2026-04-09","noUsgsAuthors":false,"publicationDate":"2026-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Moser, Matthew T. 0000-0002-4891-3381","orcid":"https://orcid.org/0000-0002-4891-3381","contributorId":94994,"corporation":false,"usgs":true,"family":"Moser","given":"Matthew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":958963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cherry, Mikaela L. 0000-0003-1081-0296 mcherry@usgs.gov","orcid":"https://orcid.org/0000-0003-1081-0296","contributorId":303279,"corporation":false,"usgs":true,"family":"Cherry","given":"Mikaela","email":"mcherry@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Brent M. 0000-0003-3815-5158 bhall@usgs.gov","orcid":"https://orcid.org/0000-0003-3815-5158","contributorId":4547,"corporation":false,"usgs":true,"family":"Hall","given":"Brent","email":"bhall@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958965,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70274303,"text":"cir1564 - 2026 - Woods Hole Coastal and Marine Science Center—2024 annual report","interactions":[],"lastModifiedDate":"2026-05-20T15:52:41.117217","indexId":"cir1564","displayToPublicDate":"2026-04-09T12:25:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1564","displayTitle":"Woods Hole Coastal and Marine Science Center—2024 Annual Report","title":"Woods Hole Coastal and Marine Science Center—2024 annual report","docAbstract":"<p>The 2024 annual report of the U.S. Geological Survey Woods Hole Coastal and Marine Science Center highlights accomplishments of 2024, includes a list of 2024 publications, and summarizes the work of the center, as well as the work of each of its science groups. This product allows readers to gain a general understanding of the focus areas of the center’s scientific research and learn more about specific projects and progress made throughout 2024, all while enjoying photographs taken in various environments and laboratories, and applicable maps and figures.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1564","usgsCitation":"Ernst, S., 2026, Woods Hole Coastal and Marine Science Center—2024 annual report: U.S. Geological Survey Circular 1564, 39 p., https://doi.org/10.3133/cir1564.","productDescription":"iv, 39 p.","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-176220","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":501550,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1564/images/"},{"id":501549,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1564/cir1564.XML","linkFileType":{"id":8,"text":"xml"},"description":"CIR 1564 XML"},{"id":501547,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1564/cir1564.pdf","size":"39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1564 PDF"},{"id":501548,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/cir1564/full","linkFileType":{"id":5,"text":"html"},"description":"CIR 1564 HTML"},{"id":501546,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1564/coverthb2.jpg"}],"contact":"<p><a href=\"mailto:WHSC_science_director@usgs.gov\" data-mce-href=\"mailto:WHSC_science_director@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/whcmsc\" data-mce-href=\"https://www.usgs.gov/centers/whcmsc\">Woods Hole Coastal and Marine Science Center</a><br>U.S. Geological Survey<br>384 Woods Hole Road<br>Quissett Campus<br>Woods Hole, MA 02543–1598</p>","tableOfContents":"<ul><li>Our Mission</li><li>Science Highlights</li><li>Student and Early Career Mentorships</li><li>Project Accomplishments</li><li>Publications</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2026-04-09","noUsgsAuthors":false,"publicationDate":"2026-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Ernst, Sara 0000-0001-7825-3209","orcid":"https://orcid.org/0000-0001-7825-3209","contributorId":215923,"corporation":false,"usgs":true,"family":"Ernst","given":"Sara","email":"","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":957800,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70274681,"text":"sir20265134 - 2026 - <i>Escherichia coli</i> monitoring and assessment in 2022 and 2023 after beach restoration at Lake St. Clair Metropark Beach, Macomb County, Michigan","interactions":[],"lastModifiedDate":"2026-04-16T17:23:22.153932","indexId":"sir20265134","displayToPublicDate":"2026-04-09T11:16:33","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5134","displayTitle":"<i>Escherichia coli</i> Monitoring and Assessment in 2022 and 2023 After Beach Restoration at Lake St. Clair Metropark Beach, Macomb County, Michigan","title":"<i>Escherichia coli</i> monitoring and assessment in 2022 and 2023 after beach restoration at Lake St. Clair Metropark Beach, Macomb County, Michigan","docAbstract":"<p>Lake St. Clair Metropark Beach in Michigan has a history of closures because of elevated <i>Escherichia coli</i> (<i>E. coli</i>) concentrations in its recreational waters. To reduce closures, restoration projects were implemented in 2021 to deter waterfowl from congregating on the beach. In this study, the U.S. Geological Survey, in cooperation with the Michigan Department of the Environment, Great Lakes, and Energy and in collaboration with Huron-Clinton Metroparks and the Macomb County Health Department, monitored <i>E. coli</i> from 2022–23 in surface water, shallow groundwater, and sediment at Lake St. Clair Metropark Beach. Results were compared to data from a prerestoration (2018–19) study. A significant decrease in daily geometric mean <i>E. coli</i> concentrations in surface water was observed postrestoration, but the number of high concentration events increased. This resulted in more frequent beach closures postrestoration. Surface-sediment <i>E. coli</i> concentrations significantly decreased after restoration, and waterfowl populations generally decreased from 2021 to 2023, suggesting that the deterrence measures could be influencing <i>E. coli</i> concentrations in surface sediments and surface water. Groundwater <i>E. coli</i> concentrations were orders of magnitude higher than those in surface water and revealed no change correlated with restoration. Seepage measurements indicated that groundwater occasionally discharges into surface water, potentially providing a transport mechanism for <i>E. coli</i> to reach the lake. Continued monitoring and consideration of environmental factors could help to better understand the beach system.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265134","issn":"2328-0328","collaboration":"Prepared in cooperation with Michigan Department of Environment, Great Lakes, and Energy","usgsCitation":"Lockmiller, H.A., Byers, V.C., and Fogarty, L.R., 2026, <i>Escherichia coli</i> monitoring and assessment in 2022 and 2023 after beach restoration at Lake St. Clair Metropark Beach, Macomb County, Michigan: U.S. Geological Survey Scientific Investigations Report 2026–5134, 24 p., https://doi.org/10.3133/sir20265134.","productDescription":"Report: viii, 24 p.; Data Release; Dataset","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-165989","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":502714,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119358.htm","linkFileType":{"id":5,"text":"html"}},{"id":502180,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5134/coverthb.jpg"},{"id":502187,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS water data for the Nation","linkHelpText":"U.S. Geological Survey National Water Information System database"},{"id":502186,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13GGCXS","text":"USGS data release","linkHelpText":"Water flux and avian species data at Lake St. Clair Metropark in Macomb County, Michigan, collected during recreational seasons of 2021, 2022, and 2023"},{"id":502184,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5134/sir20265134.XML","description":"SIR 2026-5134 XML"},{"id":502183,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265134/full","text":"HTML","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5134 HTML"},{"id":502182,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5134/sir20265134.pdf","text":"Report","size":"4.13 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5134"},{"id":502181,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5134/images"}],"country":"United States","state":"Michigan","otherGeospatial":"Lake St. Clair Metropark Beach","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.7975,\n              42.57167\n            ],\n            [\n              -82.7975,\n              42.570278\n            ],\n            [\n              -82.794722,\n              42.570278\n            ],\n            [\n              -82.794722,\n              42.57167\n            ],\n            [\n              -82.7975,\n              42.57167\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/upper-midwest-water-science-center\" href=\"https://www.usgs.gov/centers/upper-midwest-water-science-center\">Upper Midwest Water Science Center</a><br>U.S. Geological Survey<br>2280 Woodale Drive<br>Mounds View, MN 55112<br></p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Sample Collection Methods and Analysis&nbsp;</li><li>Quality Assurance and Quality Control&nbsp;</li><li><i>Escherichia coli</i> Results after Beach Restoration Efforts&nbsp;</li><li>Groundwater Seepage Rates</li><li>Gull and Geese Enumeration Results</li><li>Pre- and Postrestoration <i>Escherichia coli </i>Comparisons</li><li>Synthesis of <i>Escherichia coli</i>, Groundwater Seepage, and Waterfowl Enumeration Data at Lake St. Clair Metropark Beach</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2026-04-09","noUsgsAuthors":false,"publicationDate":"2026-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Lockmiller, Hayden A. 0000-0001-7605-2286","orcid":"https://orcid.org/0000-0001-7605-2286","contributorId":345227,"corporation":false,"usgs":true,"family":"Lockmiller","given":"Hayden","email":"","middleInitial":"A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byers, Victoria (Tori) 0000-0002-4551-2769","orcid":"https://orcid.org/0000-0002-4551-2769","contributorId":369251,"corporation":false,"usgs":true,"family":"Byers","given":"Victoria","middleInitial":"(Tori)","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fogarty, Lisa R. 0000-0003-0329-3251","orcid":"https://orcid.org/0000-0003-0329-3251","contributorId":201646,"corporation":false,"usgs":true,"family":"Fogarty","given":"Lisa R.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958688,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70275001,"text":"70275001 - 2026 - Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund Site, Rockingham County, New Hampshire","interactions":[{"subject":{"id":70275001,"text":"70275001 - 2026 - Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund Site, Rockingham County, New Hampshire","indexId":"70275001","publicationYear":"2026","noYear":false,"title":"Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund Site, Rockingham County, New Hampshire"},"predicate":"SUPERSEDED_BY","object":{"id":70275642,"text":"sir20265008 - 2026 - Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund site, Rockingham County, New Hampshire","indexId":"sir20265008","publicationYear":"2026","noYear":false,"title":"Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund site, Rockingham County, New Hampshire"},"id":1}],"supersededBy":{"id":70275642,"text":"sir20265008 - 2026 - Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund site, Rockingham County, New Hampshire","indexId":"sir20265008","publicationYear":"2026","noYear":false,"title":"Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund site, Rockingham County, New Hampshire"},"lastModifiedDate":"2026-05-11T16:04:09.565032","indexId":"70275001","displayToPublicDate":"2026-04-09T09:40:28","publicationYear":"2026","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund Site, Rockingham County, New Hampshire","docAbstract":"<p><span>Per- and polyfluoroalkyl substances (PFAS), including perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS), have been detected at combined concentrations above 2,000 nanograms per liter (ng/L) at groundwater seep locations near the Coakley Landfill Superfund site, in North Hampton, New Hampshire. The landfill was active from 1972 to 1985. An impermeable cap was placed on the landfill in 1998. The adjacent area to the Coakley Landfill has many water supply wells, and transport of PFAS compounds to the wells is a concern. Fracture anisotropy in the underlying bedrock aquifer complicates the understanding of PFAS transport because groundwater preferentially travels along fractures that may not align with the prevailing groundwater flow direction. In 2018, the U.S Environmental Protection Agency and the U.S. Geological Survey began an investigation of the groundwater flow from the Coakley Landfill site. This report describes the modification of a numerical groundwater-flow model for the local area around the Coakley Landfill and summarizes findings of the investigation. In addition, this report includes a brief description of PFOA and PFOS occurrence, a discussion of model construction, evaluation of model performance through calibration, and discussion of simulation results for two periods (before and after capping). Limitations are also discussed. Results show that simulated groundwater flow moves from the Coakley Landfill to the west and north. Advective transport modeling using particle tracking shows that groundwater from the landfill discharges primarily to streams to the west and north, and a small amount is transported to distal wells. Dilution of contaminants through advection and dispersion likely plays a role in whether PFAS compounds from the landfill will be detected above laboratory reporting levels at distal wells.</span></p>","language":"English","publisher":"EarthArXiv","doi":"10.31223/X53761","usgsCitation":"Harte, P., and Collins, A.L., 2026, Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund Site, Rockingham County, New Hampshire: EarthArXiv, preprint posted April 09, 2026, https://doi.org/10.31223/X53761.","productDescription":"72 p.","ipdsId":"IP-188248","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":502680,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Harte, Phil 0000-0002-7718-1204","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":369789,"corporation":false,"usgs":false,"family":"Harte","given":"Phil","affiliations":[{"id":63928,"text":"Former USGS (ret.)","active":true,"usgs":false}],"preferred":false,"id":959179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collins, Andrew L. 0000-0003-4751-7333","orcid":"https://orcid.org/0000-0003-4751-7333","contributorId":332093,"corporation":false,"usgs":true,"family":"Collins","given":"Andrew","email":"","middleInitial":"L.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959180,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70275062,"text":"70275062 - 2026 - Incorporating data sets with multiple sources of uncertainty in integrated species distribution models","interactions":[],"lastModifiedDate":"2026-04-14T16:29:45.038418","indexId":"70275062","displayToPublicDate":"2026-04-09T09:24:19","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating data sets with multiple sources of uncertainty in integrated species distribution models","docAbstract":"<p><span>Data integration methods aim to improve species distribution estimates by incorporating multiple sources of uncertainty across datasets. Two major sources of uncertainty are: (1) variation in sampling effort across space and within datasets, and (2) variation in reliability associated with data collection protocols or timing among datasets. Our goal was to evaluate how different approaches to address these uncertainties influence predictive performance of integrated models. We modeled distributions of four bird species using three datasets that differed in sampling design. We examined three strategies to reduce uncertainty: (1) filtering data, (2) incorporating functions that account for uncertainty in observation models, and (3) varying how datasets are integrated into a single estimate. We first examine methods to account for variable effort in observations, focusing on both spatial differences in sampling intensity and effort given to a single observation record. We then examine approaches to account for data sets with differing reliability. Sampling effort was best addressed through conservative filtering, including spatial thinning and excluding observations with highly variable effort. Next, we considered how to account for potential false positive detections—due to either misidentification or changes in distributions. We found that treating less reliable data as a covariate, an approach previously suggested for data integration that can greatly speed up model fitting, performed well. Other effective approaches included directly modeling false positive rates and complete exclusion of less reliable data sets. Our results provide insights into best practices in integrated modeling for handling uncertainty in integrated models. We demonstrate the flexible options available when using integrated models to address uncertainty.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.73185","usgsCitation":"Lunt, F., Scher, C.L., Mummah, R.O., and Miller, D.A., 2026, Incorporating data sets with multiple sources of uncertainty in integrated species distribution models: Ecology and Evolution, v. 16, no. 4, e73185, 11 p., https://doi.org/10.1002/ece3.73185.","productDescription":"e73185, 11 p.","ipdsId":"IP-180463","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":503008,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.73185","text":"Publisher Index Page"},{"id":502788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Lunt, Fiona","contributorId":369894,"corporation":false,"usgs":false,"family":"Lunt","given":"Fiona","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":959344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scher, C. Lane","contributorId":369895,"corporation":false,"usgs":false,"family":"Scher","given":"C.","middleInitial":"Lane","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":959345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mummah, Riley Olivia 0000-0002-4542-3483","orcid":"https://orcid.org/0000-0002-4542-3483","contributorId":342242,"corporation":false,"usgs":true,"family":"Mummah","given":"Riley","email":"","middleInitial":"Olivia","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":959346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, David A.W.","contributorId":367856,"corporation":false,"usgs":false,"family":"Miller","given":"David","middleInitial":"A.W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":959347,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70275152,"text":"70275152 - 2026 - Estimating GPS-based social aggregation metrics using collar data","interactions":[],"lastModifiedDate":"2026-04-17T15:45:55.825999","indexId":"70275152","displayToPublicDate":"2026-04-09T08:40:04","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Estimating GPS-based social aggregation metrics using collar data","docAbstract":"<p><span>Understanding social aggregation patterns in ungulate herds is essential for gaining behavioral insights, optimizing resource use, reducing human-wildlife conflict, and managing disease risk. As chronic wasting disease is the preeminent disease-related threat to cervid populations in North America, knowledge of contact between individuals and spatiotemporal patterns of aggregation provides opportunity to understand and potentially reduce disease risk while supporting sustainable population sizes. Herd density metrics, derived from global positioning system (GPS) data, can be used to inform management decisions. To effectively compare aggregation behavior within and between herds, aggregation metrics must be accurate. However, the consistency of metrics across different GPS collar sample sizes remains unclear and robust studies of big game require understanding how these factors may vary in different contexts. We examined the minimum sample size necessary for reliable calculations of three aggregation metrics: pairwise inter-animal distances, daily proximity rates, and kernel density estimate (KDE) areas. We used GPS collar data from the Jackson and West Green River elk herds (</span><i>Cervus canadensis</i><span>) in western Wyoming, USA, that differ in herd size and group structure (single versus multiple sub-groups), representing common practical contexts. Elk locations were acquired for the Jackson herd between 2016 and 2019 and from 2005 to 2010 for the West Green River herd. Herd-specific characteristics substantially influence the sample size necessary for accurate density measurements. As predicted, larger herds with many groups require more GPS collars than small herds with fewer groups. The sample size needed to accurately estimate aggregation varies by metric, with KDE areas, useful for indexing environmentally transmitted disease risk, generally requiring fewer samples, especially in high-density contexts. The required sample size also varies with seasonal changes in density. During periods of highest density, similar sample sizes are required to estimate inter-animal distances and proximity rates regardless of herd characteristics. Our results have implications for costs associated with studying big game herds, indicating fewer collars may be sufficient in some cases. These insights can aid researchers and managers in determining the appropriate number of GPS collars required for effective herd monitoring and informing relevant aggregation metrics for their management goals.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0345546","usgsCitation":"Janousek, W.M., Cotterill, G.G., Lobo, O.J., Cole, E.K., Dewey, S.R., and Graves, T., 2026, Estimating GPS-based social aggregation metrics using collar data: PLoS ONE, v. 21, no. 4, e0345546, 13 p., https://doi.org/10.1371/journal.pone.0345546.","productDescription":"e0345546, 13 p.","ipdsId":"IP-178720","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":503430,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0345546","text":"Publisher Index Page"},{"id":503209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Fossil Butte National Monument, National Elk Refuge, western Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.13468980343175,\n              45.014666844566335\n            ],\n            [\n              -111.13468980343175,\n              42.0923321700117\n            ],\n            [\n              -108.46959328577923,\n              42.0923321700117\n            ],\n            [\n              -108.46959328577923,\n              45.014666844566335\n            ],\n            [\n              -111.13468980343175,\n              45.014666844566335\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"21","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Janousek, William Michael 0000-0003-3978-1775","orcid":"https://orcid.org/0000-0003-3978-1775","contributorId":237980,"corporation":false,"usgs":true,"family":"Janousek","given":"William","email":"","middleInitial":"Michael","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":959673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cotterill, Gavin G. 0000-0002-1408-778X","orcid":"https://orcid.org/0000-0002-1408-778X","contributorId":346534,"corporation":false,"usgs":true,"family":"Cotterill","given":"Gavin","middleInitial":"G.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":959674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lobo, Olivia J.","contributorId":370102,"corporation":false,"usgs":false,"family":"Lobo","given":"Olivia","middleInitial":"J.","affiliations":[{"id":87950,"text":"Nonfederal USGS Student Contractor","active":true,"usgs":false}],"preferred":false,"id":959675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cole, Eric K.","contributorId":359536,"corporation":false,"usgs":false,"family":"Cole","given":"Eric","middleInitial":"K.","affiliations":[{"id":85847,"text":"US Fish and Wildlife Service, National Elk Refuge, Jackson, WY. USA","active":true,"usgs":false}],"preferred":false,"id":959676,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dewey, Sarah R.","contributorId":370103,"corporation":false,"usgs":false,"family":"Dewey","given":"Sarah","middleInitial":"R.","affiliations":[{"id":87954,"text":"NPS - Grand Teton National Park","active":true,"usgs":false}],"preferred":false,"id":959677,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":959678,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70275071,"text":"70275071 - 2026 - Semantic segmentation of light-toned veins in multimodal ChemCam data","interactions":[],"lastModifiedDate":"2026-04-14T15:24:12.421568","indexId":"70275071","displayToPublicDate":"2026-04-09T08:12:35","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Semantic segmentation of light-toned veins in multimodal ChemCam data","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Since the Mars Science Laboratory landed in 2012, the ChemCam instrument aboard the rover has collected in-situ laser-induced breakdown spectroscopy (LIBS) data and context images along more than 35 km of the Gale Crater traverse, providing valuable observations including diagenetic features such as light-toned veins. These veins are of particular scientific interest because they are interpreted as indicators of past fluid circulation on Mars and provide insights into the evolution of habitability on Mars. Their identification, however, currently relies on manual visual inspection of Remote Micro Imager&nbsp;(RMI) images, a process that is time-consuming and sensitive to differences in human interpretation. To address this issue, in this paper we introduce a novel pixel-level labeled, multimodal dataset of ChemCam observations specifically tailored for vein detection, along with customized U-Net models to integrate both textural&nbsp;(RMI) and chemical&nbsp;(LIBS) modalities. To further ensure trustworthy scientific use, we incorporate the Learn-Then-Test&nbsp;(LTT) framework to provide statistical control of the false discovery rate without requiring model retraining. The experimental results demonstrate that the proposed customized U-Net models trained on the developed dataset, combined with risk-controlled prediction, increases the efficiency of pixel-level vein identification through automation and produces statistically reliable predictions for multimodal ChemCam data.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-026-47207-0","usgsCitation":"Lomashvili, A., Rammelkamp, K., Bhattacharjee, P., Gasnault, O., Clavé, E., Egerland, C.H., Schröder, S., Gabriel, T.S., Essunfeld, A., Le Mouélic, S., and Demir, B., 2026, Semantic segmentation of light-toned veins in multimodal ChemCam data: Scientific Reports, v. 16, 12052, 15 p., https://doi.org/10.1038/s41598-026-47207-0.","productDescription":"12052, 15 p.","ipdsId":"IP-187556","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":503006,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-026-47207-0","text":"Publisher Index Page"},{"id":502785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"16","noUsgsAuthors":false,"publicationDate":"2026-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Lomashvili, Ana","contributorId":369911,"corporation":false,"usgs":false,"family":"Lomashvili","given":"Ana","affiliations":[{"id":64112,"text":"German Aerospace Center","active":true,"usgs":false}],"preferred":false,"id":959359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rammelkamp, Kristin","contributorId":289781,"corporation":false,"usgs":false,"family":"Rammelkamp","given":"Kristin","affiliations":[{"id":62247,"text":"Institut de Recherche en Astrophysique et Planetologie","active":true,"usgs":false}],"preferred":false,"id":959360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bhattacharjee, Protim","contributorId":369912,"corporation":false,"usgs":false,"family":"Bhattacharjee","given":"Protim","affiliations":[{"id":64112,"text":"German Aerospace Center","active":true,"usgs":false}],"preferred":false,"id":959361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gasnault, Olivier","contributorId":181928,"corporation":false,"usgs":false,"family":"Gasnault","given":"Olivier","affiliations":[],"preferred":false,"id":959362,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clavé, Elise","contributorId":296842,"corporation":false,"usgs":false,"family":"Clavé","given":"Elise","affiliations":[{"id":64188,"text":"Planetary Exploration Team, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":959363,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Egerland, Christoph H.","contributorId":369913,"corporation":false,"usgs":false,"family":"Egerland","given":"Christoph","middleInitial":"H.","affiliations":[{"id":64112,"text":"German Aerospace Center","active":true,"usgs":false}],"preferred":false,"id":959364,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schröder, Susanne","contributorId":351652,"corporation":false,"usgs":false,"family":"Schröder","given":"Susanne","affiliations":[{"id":47627,"text":"DLR","active":true,"usgs":false}],"preferred":false,"id":959365,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gabriel, Travis S.J. 0000-0002-9767-4153","orcid":"https://orcid.org/0000-0002-9767-4153","contributorId":267903,"corporation":false,"usgs":true,"family":"Gabriel","given":"Travis","middleInitial":"S.J.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":959366,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Essunfeld, Ari","contributorId":369917,"corporation":false,"usgs":false,"family":"Essunfeld","given":"Ari","affiliations":[{"id":48588,"text":"Los Alamos National Lab","active":true,"usgs":false}],"preferred":false,"id":959367,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Le Mouélic, Stéphane","contributorId":92786,"corporation":false,"usgs":false,"family":"Le Mouélic","given":"Stéphane","affiliations":[],"preferred":false,"id":959368,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Demir, Begüm","contributorId":369925,"corporation":false,"usgs":false,"family":"Demir","given":"Begüm","affiliations":[{"id":87885,"text":"BIFOLD and Tu Berlin","active":true,"usgs":false}],"preferred":false,"id":959369,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70275750,"text":"70275750 - 2026 - Describing the seasonal abundance and growth rates of larval fishes across productivity gradients in Lake Huron in 2017","interactions":[],"lastModifiedDate":"2026-05-18T15:07:07.260384","indexId":"70275750","displayToPublicDate":"2026-04-09T07:57:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Describing the seasonal abundance and growth rates of larval fishes across productivity gradients in Lake Huron in 2017","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Several of the Laurentian Great Lakes, including Lake Huron, have undergone oligotrophication in the past decades and prey fish biomass has concomitantly declined. One potential mechanism to explain declines in prey fish is slower growth and lower survival at the larval stage. To determine whether reduced productivity affects the growth of larval fish, we sampled larval fishes and their environment approximately monthly from May through August 2017 at nine nearshore to offshore transects across Lake Huron that included North Channel, Georgian Bay, and the main basin. North Channel transects had the highest chlorophyll&nbsp;</span><i>a</i><span>&nbsp;concentrations and zooplankton densities. Rainbow smelt (</span><i>Osmerus mordax</i><span>), burbot (</span><i>Lota lota</i><span>), bloater (</span><i>Coregonus hoyi</i><span>), and shiners (</span><i>Notropis</i><span>&nbsp;spp.) were the most abundant larval fish taxa, peaking in June and July. We aged rainbow smelt and bloater using otoliths, and estimates of growth rate revealed rainbow smelt always grew faster. For both species, we explained variation in total length by comparing 16 candidate linear mixed-effects models, with age, chlorophyll&nbsp;</span><i>a</i><span>, zooplankton, water temperature, larval fish density, and interactions with age as predictor variables. For rainbow smelt, the full model was best; zooplankton had the greatest effect, but it was negative and opposite from our hypothesis. For bloater, four candidate models were most parsimonious; water temperature had the greatest effect, and it was positive as predicted from our hypothesis. To more effectively evaluate whether zooplankton can limit larval fish growth and survival, we recommend that future designs conduct more frequently sampling within a year even at the expense of fewer transects.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2026.102817","usgsCitation":"Bunnell, D.B., Eaton, L.A., Dieter, P.M., Collingsworth, P., Hoffman, J.C., Rowe, M.D., Stott, W., Ackiss, A.S., and Rutherford, E.S., 2026, Describing the seasonal abundance and growth rates of larval fishes across productivity gradients in Lake Huron in 2017: Journal of Great Lakes Research, 102817, 15 p., https://doi.org/10.1016/j.jglr.2026.102817.","productDescription":"102817, 15 p.","ipdsId":"IP-182655","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":504477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Huron","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -84.58185200845517,\n              46.519644985424634\n            ],\n            [\n              -84.58185200845517,\n              43.082049264308324\n            ],\n            [\n              -79.6331783866257,\n              43.082049264308324\n            ],\n            [\n              -79.6331783866257,\n              46.519644985424634\n            ],\n            [\n              -84.58185200845517,\n              46.519644985424634\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bunnell, David B. 0000-0003-3521-7747","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":216545,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":961635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eaton, Lauren A.","contributorId":211815,"corporation":false,"usgs":false,"family":"Eaton","given":"Lauren","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":961636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dieter, Patricia M. 0000-0003-1686-2679","orcid":"https://orcid.org/0000-0003-1686-2679","contributorId":217345,"corporation":false,"usgs":true,"family":"Dieter","given":"Patricia","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":961637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collingsworth, Paris D.","contributorId":354643,"corporation":false,"usgs":false,"family":"Collingsworth","given":"Paris D.","affiliations":[{"id":84645,"text":"Illinois-Indiana SeaGrant","active":true,"usgs":false}],"preferred":false,"id":961638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoffman, Joel C.","contributorId":361653,"corporation":false,"usgs":false,"family":"Hoffman","given":"Joel","middleInitial":"C.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":961639,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rowe, Mark D.","contributorId":208536,"corporation":false,"usgs":false,"family":"Rowe","given":"Mark","middleInitial":"D.","affiliations":[],"preferred":false,"id":961640,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stott, Wendylee 0000-0002-5252-4901","orcid":"https://orcid.org/0000-0002-5252-4901","contributorId":242990,"corporation":false,"usgs":false,"family":"Stott","given":"Wendylee","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":961641,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ackiss, Amanda Susanne 0000-0002-8726-7423","orcid":"https://orcid.org/0000-0002-8726-7423","contributorId":272165,"corporation":false,"usgs":true,"family":"Ackiss","given":"Amanda","email":"","middleInitial":"Susanne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":961642,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rutherford, Edward S.","contributorId":175426,"corporation":false,"usgs":false,"family":"Rutherford","given":"Edward","email":"","middleInitial":"S.","affiliations":[{"id":12789,"text":"NOAA Great Lakes Environmental Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":961643,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70274763,"text":"cir1566 - 2026 - Yellowstone Volcano Observatory 2024 annual report","interactions":[],"lastModifiedDate":"2026-06-02T19:18:27.418416","indexId":"cir1566","displayToPublicDate":"2026-04-09T07:47:15","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1566","displayTitle":"Yellowstone Volcano Observatory 2024 Annual Report","title":"Yellowstone Volcano Observatory 2024 annual report","docAbstract":"<p><span>The Yellowstone Volcano Observatory (YVO) monitors volcanic and hydrothermal activity associated with the Yellowstone magmatic system, carries out research into magmatic processes occurring beneath Yellowstone Caldera, and issues timely warnings and guidance related to potential future geologic hazards. YVO is a collaborative consortium that includes the U.S. Geological Survey (USGS), Yellowstone National Park, University of Utah, University of Wyoming, Montana State University, EarthScope Consortium, Wyoming State Geological Survey, Montana Bureau of Mines and Geology, and Idaho Geological Survey. The USGS component of YVO also has the operational responsibility for monitoring volcanic activity in the Intermountain West of the United States, including Arizona, New Mexico, Utah, and Colorado. This report summarizes the activities and findings of YVO during the year 2024, focusing on the Yellowstone volcanic system.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1566","usgsCitation":"Yellowstone Volcano Observatory, 2026, Yellowstone Volcano Observatory 2024 annual report: U.S. Geological Survey Circular 1566, 44 p., https://doi.org/10.3133/cir1566.","productDescription":"Report: vi, 44 p.; Infographic","numberOfPages":"44","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-175178","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":502316,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1566/images"},{"id":502315,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1566/cir1566.XML","linkFileType":{"id":8,"text":"xml"},"description":"CIRC 1566 XML"},{"id":502313,"rank":3,"type":{"id":13,"text":"Illustration"},"url":"https://pubs.usgs.gov/circ/1566/cir1566_infographic.pdf","text":"Infographic","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIRC 1566 Infographic"},{"id":502312,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1566/cir1566.pdf","text":"Report","size":"45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIRC 1566 PDF"},{"id":502311,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1566/coverthb.jpg"},{"id":502712,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119357.htm","linkFileType":{"id":5,"text":"html"}},{"id":502314,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/cir1566/full","linkFileType":{"id":5,"text":"html"},"description":"CIRC 1566 HTML"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.16258179005546,\n              45.11759231779851\n            ],\n            [\n              -111.16258179005546,\n              44.133614417965674\n            ],\n            [\n              -109.62368747854985,\n              44.133614417965674\n            ],\n            [\n              -109.62368747854985,\n              45.11759231779851\n            ],\n            [\n              -111.16258179005546,\n              45.11759231779851\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/observatories/yvo\" data-mce-href=\"https://www.usgs.gov/observatories/yvo\">Yellowstone Volcano Observatory</a><br>U.S. Geological Survey<br>1300 SE Cardinal Court, Suite 100<br>Vancouver, WA 98683</p><p>Email:&nbsp;<a href=\"mailto:yvowebteam@usgs.gov\" data-mce-href=\"mailto:yvowebteam@usgs.gov\">yvowebteam@usgs.gov</a></p>","tableOfContents":"<ul><li>Introduction</li><li>YVO Activities</li><li>Seismology</li><li>Geodesy</li><li>Geochemistry</li><li>Geology</li><li>Heat Flow Studies</li><li>Hydrothermal Explosions</li><li>Geysers, Hot Springs, and Thermal Areas</li><li>Communications and Outreach</li><li>Summary</li><li>2024 Publications</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2026-04-09","noUsgsAuthors":false,"publicationDate":"2026-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Yellowstone Volcano Observatory","contributorId":127797,"corporation":true,"usgs":false,"organization":"Yellowstone Volcano Observatory","id":959209,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70275113,"text":"70275113 - 2026 - Natural language processing for groundwater insights","interactions":[],"lastModifiedDate":"2026-04-16T15:52:57.800537","indexId":"70275113","displayToPublicDate":"2026-04-08T10:51:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Natural language processing for groundwater insights","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"National Grrundwater Association","doi":"10.1111/gwat.70067","usgsCitation":"Christenson, C., and McCoy, K., 2026, Natural language processing for groundwater insights: Groundwater, https://doi.org/10.1111/gwat.70067.","ipdsId":"IP-182736","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":502984,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.70067","text":"Publisher Index Page"},{"id":502942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Christenson, Catherine 0000-0001-5944-2186 cchristenson@usgs.gov","orcid":"https://orcid.org/0000-0001-5944-2186","contributorId":200263,"corporation":false,"usgs":true,"family":"Christenson","given":"Catherine","email":"cchristenson@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCoy, Kurt J. 0000-0002-9756-8238","orcid":"https://orcid.org/0000-0002-9756-8238","contributorId":216196,"corporation":false,"usgs":true,"family":"McCoy","given":"Kurt J.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959475,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70274719,"text":"dr1224 - 2026 - Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2017–22","interactions":[],"lastModifiedDate":"2026-04-10T18:18:25.031448","indexId":"dr1224","displayToPublicDate":"2026-04-08T09:46:27","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1224","displayTitle":"Selected Water-Quality Data from the Cedar River and Cedar Rapids Well Fields, Cedar Rapids, Iowa, 2017–22","title":"Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2017–22","docAbstract":"<p>The Cedar River alluvial aquifer is the source of drinking water in Cedar Rapids, Iowa. Production wells are completed in the alluvial aquifer approximately 40 to 80 feet below land surface. The City of Cedar Rapids and the U.S. Geological Survey have studied the groundwater-flow system and water quality of the aquifer in the vicinity of Cedar Rapids since 1992. Results of these studies documented hydrologic conditions, water quality, and geochemistry of the alluvial aquifer and interactions with the Cedar River. Water-quality samples were collected for studies involving well field monitoring, trends, source-water protection, groundwater geochemistry, surface-water–groundwater interaction, and pesticides in groundwater and surface water. Water quality was analyzed for dissolved major ions (boron, bromide, calcium, chloride, fluoride, iron, magnesium, manganese, potassium, silica, sodium, sulfate, and total dissolved solids), dissolved nutrients (ammonia as nitrogen, ammonia plus organic nitrogen as nitrogen, nitrite plus nitrate as nitrogen, nitrite as nitrogen, orthophosphate as phosphorus, and phosphorus), dissolved organic carbon, and selected pesticides. Physical characteristics (alkalinity, dissolved oxygen, pH, specific conductance, and water temperature) were measured on site and recorded for each water sample collected. This report presents the results of routine water-quality data-collection activities from October 2017 through September 2022. Methods of data collection, quality assurance, water-quality analyses, and statistical procedures are presented. Data include the results of water-quality analyses from quarterly sampling from monitoring wells, production wells, two water treatment plants, and the Cedar River at Blairs Ferry Road at Palo, Iowa, streamgage (U.S. Geological Survey station number 05464420), as well as monthly nutrient sampling from the Cedar River and Morgan Creek near Covington, Iowa, streamgage (U.S. Geological Survey station number 05464475).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1224","collaboration":"Prepared in cooperation with City of Cedar Rapids Utilities Water Division","usgsCitation":"Meppelink, S.M., and Kalkhoff, S.J., 2026, Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2017–22: U.S. Geological Survey Data Report 1224, 34 p., https://doi.org/10.3133/dr1224.","productDescription":"Report: vii, 34 p.; Dataset","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-171718","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":502710,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119355.htm","linkFileType":{"id":5,"text":"html"}},{"id":502244,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1224/dr1224.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1224"},{"id":502243,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1224/coverthb.jpg"},{"id":502245,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1224/dr1224.XML"},{"id":502246,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1224/images/"},{"id":502247,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1224/full"},{"id":502248,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"}],"country":"United States","state":"Iowa","city":"Cedar Rapids","otherGeospatial":"Cedar Rapids Well Fields, Cedar River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.80773266985493,\n              42.032866361741156\n            ],\n            [\n              -91.80773266985493,\n              41.90007413791929\n            ],\n            [\n              -91.50986519614662,\n              41.90007413791929\n            ],\n            [\n              -91.50986519614662,\n              42.032866361741156\n            ],\n            [\n              -91.80773266985493,\n              42.032866361741156\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/cm-water\" data-mce-href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>400 South Clinton Street, Suite 269<br>Iowa City, IA 52240</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods of Study</li><li>Water-Quality Sampling</li><li>Water-Quality Data for Cedar River and Cedar Rapids Well Fields</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2026-04-08","noUsgsAuthors":false,"publicationDate":"2026-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Meppelink, Shannon M. 0000-0003-1294-7878","orcid":"https://orcid.org/0000-0003-1294-7878","contributorId":205653,"corporation":false,"usgs":true,"family":"Meppelink","given":"Shannon","email":"","middleInitial":"M.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kalkhoff, Stephen J. 0000-0003-4110-1716 sjkalkho@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-1716","contributorId":1731,"corporation":false,"usgs":true,"family":"Kalkhoff","given":"Stephen","email":"sjkalkho@usgs.gov","middleInitial":"J.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958837,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70275150,"text":"70275150 - 2026 - Ecology of Lake Erie – Wetlands and lake-wide planktonic communities: A synthesis","interactions":[],"lastModifiedDate":"2026-04-17T17:53:27.28862","indexId":"70275150","displayToPublicDate":"2026-04-08T08:48:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":865,"text":"Aquatic Ecosystem Health & Management","active":true,"publicationSubtype":{"id":10}},"title":"Ecology of Lake Erie – Wetlands and lake-wide planktonic communities: A synthesis","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\">No abstract available. </span></p>","language":"English","publisher":"BioOne","doi":"10.65087/aehm.028.03.9","usgsCitation":"Ludsin, S.A., Munawar, M., Boegehold, A.G., Drake, D.R., Kowalski, K., and Pintor, L.M., 2026, Ecology of Lake Erie – Wetlands and lake-wide planktonic communities: A synthesis: Aquatic Ecosystem Health & Management, v. 28, no. 3, p. 122-131, https://doi.org/10.65087/aehm.028.03.9.","productDescription":"10 p.","startPage":"122","endPage":"131","ipdsId":"IP-186126","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":503221,"rank":3,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70275150/full"},{"id":503220,"rank":2,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70275150/70275150.XML"},{"id":503210,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.68588345968959,\n              41.95721669219145\n            ],\n            [\n              -83.4293543138805,\n              41.42462773901843\n            ],\n            [\n              -81.67839683358487,\n              41.282330238367535\n            ],\n            [\n              -79.49775865025839,\n              42.099234474211414\n            ],\n            [\n              -78.67715940750671,\n              42.83374780854555\n            ],\n            [\n              -79.34990285265101,\n              43.03769892181995\n            ],\n            [\n              -81.2275576607633,\n              42.74910668436203\n            ],\n            [\n              -82.45672056022644,\n              42.35316168827674\n            ],\n            [\n              -83.68588345968959,\n              41.95721669219145\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"28","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ludsin, Stuart A.","contributorId":370095,"corporation":false,"usgs":false,"family":"Ludsin","given":"Stuart","middleInitial":"A.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":959661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munawar, Mohiuddin","contributorId":350770,"corporation":false,"usgs":false,"family":"Munawar","given":"Mohiuddin","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":959662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boegehold, Anna G.","contributorId":370096,"corporation":false,"usgs":false,"family":"Boegehold","given":"Anna","middleInitial":"G.","affiliations":[{"id":38322,"text":"International Joint Commission","active":true,"usgs":false}],"preferred":false,"id":959663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drake, D. Andrew R.","contributorId":370097,"corporation":false,"usgs":false,"family":"Drake","given":"D. Andrew","middleInitial":"R.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":959664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":959665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pintor, Lauren M.","contributorId":370098,"corporation":false,"usgs":false,"family":"Pintor","given":"Lauren","middleInitial":"M.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":959666,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70275151,"text":"70275151 - 2026 - Abundance and movement patterns of fish accessing a reconnected Lake Erie coastal wetland: Insights from high-resolution sonar data","interactions":[],"lastModifiedDate":"2026-04-17T17:19:20.922519","indexId":"70275151","displayToPublicDate":"2026-04-08T08:29:17","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":865,"text":"Aquatic Ecosystem Health & Management","active":true,"publicationSubtype":{"id":10}},"title":"Abundance and movement patterns of fish accessing a reconnected Lake Erie coastal wetland: Insights from high-resolution sonar data","docAbstract":"<p><span>Coastal wetlands of the Laurentian Great Lakes are complex ecosystems that provide essential biological services, including providing habitat for a suite of fish species. As restoration efforts for these coastal wetlands increase, there is a need to characterize how well restored areas support the life histories of wetland, riverine, and lake fishes. Most traditional survey methods (e.g. 24hr trap netting, visual surveys) are implemented over periods of time that make it difficult to describe short-term fluxes in fish activity, especially in waters with difficult access or high turbidity. To address this gap, we used acoustic sonar technology to evaluate fish movement in a recently reconnected coastal wetland on the southern shore of western Lake Erie. Data collected over four years (2011-2014) indicated that the 10 ha wetland was continuously utilized by millions of fish, with discernible fluctuations in usage patterns observed on both daily and annual scales. These insights add to our understanding of how fish assemblages respond to restored coastal wetland habitats and can inform management decisions that may impact fish access (e.g. conduct management activities that may be disruptive to fish populations during periods of reduced utilization). Additional study of short-term fish movements using high-resolution sonar and other technologies will reveal patterns that may enhance the effectiveness of restoration and management efforts in Great Lakes coastal wetlands.</span></p>","language":"English","publisher":"BioOne","doi":"10.65087/aehm.028.03.6","usgsCitation":"Kowalski, K., Bozimowski, A.A., Smith, M.K., Eggleston, M.R., Ramsay, M.F., and Eschenburg, H.J., 2026, Abundance and movement patterns of fish accessing a reconnected Lake Erie coastal wetland: Insights from high-resolution sonar data: Aquatic Ecosystem Health & Management, v. 28, no. 3, p. 66-85, https://doi.org/10.65087/aehm.028.03.6.","productDescription":"20 p.","startPage":"66","endPage":"85","ipdsId":"IP-172904","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":504060,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1NBW3ZR","text":"USGS data release","linkHelpText":"Fish activity and movement information derived from acoustic monitoring of a restored Lake Erie coastal wetland from 2011-2014"},{"id":503218,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70275151/70275151.XML"},{"id":503217,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/ja/70275151/images"},{"id":503216,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70275151/full"},{"id":503208,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.71462534661718,\n              41.95593762513241\n            ],\n            [\n              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kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":959667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bozimowski, Alexandra A. 0000-0002-0835-1089","orcid":"https://orcid.org/0000-0002-0835-1089","contributorId":328563,"corporation":false,"usgs":true,"family":"Bozimowski","given":"Alexandra","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":959668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, McKenzie K.H. 0000-0003-0516-3661 mksmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0516-3661","contributorId":190413,"corporation":false,"usgs":true,"family":"Smith","given":"McKenzie","email":"mksmith@usgs.gov","middleInitial":"K.H.","affiliations":[],"preferred":true,"id":959669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eggleston, Michael R.","contributorId":370099,"corporation":false,"usgs":false,"family":"Eggleston","given":"Michael","middleInitial":"R.","affiliations":[{"id":87949,"text":"Michigan Department of Environment Great Lakes and Energy, Remediation and Redevelopment Division","active":true,"usgs":false}],"preferred":false,"id":959670,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ramsay, Maxwell F.","contributorId":370100,"corporation":false,"usgs":false,"family":"Ramsay","given":"Maxwell","middleInitial":"F.","affiliations":[{"id":83707,"text":"Gogebic Conservation District","active":true,"usgs":false}],"preferred":false,"id":959671,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eschenburg, Holly J.","contributorId":370101,"corporation":false,"usgs":false,"family":"Eschenburg","given":"Holly","middleInitial":"J.","affiliations":[{"id":34270,"text":"Independent contractor","active":true,"usgs":false}],"preferred":false,"id":959672,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70276372,"text":"70276372 - 2026 - A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii","interactions":[{"subject":{"id":70276374,"text":"70276374 - 2026 - A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii","indexId":"70276374","publicationYear":"2026","noYear":false,"displayTitle":"A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, <i>Spea hammondii</i>","title":"A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii"},"predicate":"SUPERSEDED_BY","object":{"id":70276372,"text":"70276372 - 2026 - A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii","indexId":"70276372","publicationYear":"2026","noYear":false,"title":"A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii"},"id":1}],"lastModifiedDate":"2026-06-02T13:33:01.34172","indexId":"70276372","displayToPublicDate":"2026-04-08T08:28:19","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2333,"text":"Journal of Heredity","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, <i>Spea hammondii</i>","title":"A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii","docAbstract":"<p><span>We assembled and annotated a chromosome-level genome for the Western Spadefoot,&nbsp;</span><i>Spea hammondii</i><span>&nbsp;(Anura, Scaphiopodidae) representing one of only three amphibians included in the California Conservation Genomics Project (CCGP).&nbsp;</span><i>Spea hammondii</i><span>&nbsp;is a vernal pool breeding anuran native to California and northwestern Baja California which has undergone both range contractions and local extirpations across its distribution, primarily due to habitat loss and degradation and drought. The species is recognized by the state of California as a Species of Special Concern and is proposed for listing under the United States Endangered Species Act. Using the established CCGP pipeline, this&nbsp;</span><i>S. hammondii</i><span>&nbsp;genome was produced using Pacific Biosciences HiFi long-reads and Omni-C proximity ligation, resulting in a de novo genome assembly 1.14&nbsp;Gb in length, distributed across 479 scaffolds (scaffold N50 = 120.8&nbsp;Mb; largest scaffold = 183.6&nbsp;Mb) with a BUSCO completeness score of 90.9% using a conserved tetrapod ortholog set. Our assembly shows high base accuracy (quality value [QV] = 63.7) and low frameshift error in coding regions (QV 50.42). Annotation of this genome yielded 20,434 genes with a BUSCO completeness score of 94.7%. This genome assembly, in combination with range-wide resequencing data from CCGP, will facilitate statewide population genomic assessments to delineate conservation units, quantify inbreeding and genomic load, and test for adaptive variation associated with vernal pool hydrology and drought tolerance, all of which are important considerations in the proposed federal listing.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jhered/esag009","usgsCitation":"Thompsky, B., Beraut, E., Cooper, R.D., Escalona, M., Espinoza, R.E., Fisher, R.N., Miller, C., Nguyen, O., Sacco, S., Sahasrabudhe, R., Seligmann, W.E., Tofflemier, E., Wang, I.J., and Schaffer, H.B., 2026, A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii: Journal of Heredity, https://doi.org/10.1093/jhered/esag009.","ipdsId":"IP-187274","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":504944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompsky, Ben","contributorId":371642,"corporation":false,"usgs":false,"family":"Thompsky","given":"Ben","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":962229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beraut, Eric","contributorId":299352,"corporation":false,"usgs":false,"family":"Beraut","given":"Eric","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":962230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooper, Robert D.","contributorId":371643,"corporation":false,"usgs":false,"family":"Cooper","given":"Robert","middleInitial":"D.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":962231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Escalona, Merly","contributorId":299346,"corporation":false,"usgs":false,"family":"Escalona","given":"Merly","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":962232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Espinoza, Robert E.","contributorId":371644,"corporation":false,"usgs":false,"family":"Espinoza","given":"Robert","middleInitial":"E.","affiliations":[{"id":36305,"text":"CSU Northridge","active":true,"usgs":false}],"preferred":false,"id":962233,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":962234,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miller, Courtney","contributorId":371645,"corporation":false,"usgs":false,"family":"Miller","given":"Courtney","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":962235,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nguyen, Oanh","contributorId":299348,"corporation":false,"usgs":false,"family":"Nguyen","given":"Oanh","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":962236,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sacco, Samuel","contributorId":299349,"corporation":false,"usgs":false,"family":"Sacco","given":"Samuel","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":962237,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sahasrabudhe, Ruta","contributorId":367055,"corporation":false,"usgs":false,"family":"Sahasrabudhe","given":"Ruta","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":962238,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Seligmann, William E.","contributorId":371646,"corporation":false,"usgs":false,"family":"Seligmann","given":"William","middleInitial":"E.","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":962239,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tofflemier, Erin","contributorId":371647,"corporation":false,"usgs":false,"family":"Tofflemier","given":"Erin","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":962240,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wang, Ian J.","contributorId":371648,"corporation":false,"usgs":false,"family":"Wang","given":"Ian","middleInitial":"J.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":962241,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schaffer, H. Bradley","contributorId":371649,"corporation":false,"usgs":false,"family":"Schaffer","given":"H.","middleInitial":"Bradley","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":962242,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70275033,"text":"70275033 - 2026 - Mineral chemistry perspective on remobilization of stored magma at Kamakai'a Hills, Southwest Rift Zone of Kilauea, Island of Hawai'i, USA","interactions":[],"lastModifiedDate":"2026-04-13T15:00:24.166946","indexId":"70275033","displayToPublicDate":"2026-04-08T07:51:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Mineral chemistry perspective on remobilization of stored magma at Kamakai'a Hills, Southwest Rift Zone of Kilauea, Island of Hawai'i, USA","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Differentiated magmas stored in the rift zones of Kīlauea have received more attention in recent years following eruption of andesite during the early phase of 2018 lower East Rift Zone activity. Despite this growing interest, some of the most voluminous eruptions of differentiated rift zone magmas remain poorly studied. One such eruption, and the most voluminous exposed differentiated flow field at Kīlauea, is the Kamakaiʻa Hills. This eruption took place in the Southwest Rift Zone of Kīlauea, a region that is hypothesized to contain a long-lived rift zone reservoir. The Kamakaiʻa Hills flow field encompasses &gt;250&nbsp;×&nbsp;10</span><sup>6</sup><span>&nbsp;m</span><sup>3</sup><span>&nbsp;of basaltic andesite and basalt compositions with a mineral assemblage of orthopyroxene + clinopyroxene + plagioclase during its early ʻaʻā phase and clinopyroxene + plagioclase + olivine during its late pāhoehoe phase. To better understand storage conditions and magma accumulation, this study focuses on major, minor, and trace elements from the mineral assemblage present within the early ʻaʻā and late pāhoehoe phases. The diversity of clinopyroxene and plagioclase compositions within the early ʻaʻā and late pāhoehoe phases, as well as diverse compositions of plagioclase and orthopyroxene within the early ʻaʻā phase, suggest multiple magma bodies and limited pre-eruption magma mixing within the broader Kamakaiʻa Hills reservoir. Oscillatory zoning patterns (particularly in clinopyroxene) imply processes such as recharge events, magma mixing or mingling, or convection within a differentially cooling, chemically stratified reservoir over protracted time intervals, whereas only limited resorbed mineral textures indicate incomplete mixing of heat and chemically distinct magmas during the dike intrusion that triggered the eruption. Mineral-mineral and mineral-melt thermobarometry indicate predominantly shallow (≤2.5&nbsp;km depth) crustal storage conditions of the cooled, differentiated magma (∼1100&nbsp;°C and cooler for the basaltic andesites) to hotter temperatures for the basalts (all &gt;1100&nbsp;°C). Despite the known large standard errors estimated for mineral-melt and mineral-mineral barometry (10s to &gt;100&nbsp;MPa), the calculated pressures and depths broadly correspond with earthquake swarm depths beneath the Kamakaiʻa Hills, and drill core and fluid inclusion barometry storage depths of differentiated magmas within the lower East Rift Zone. The Kamakaiʻa Hills differentiated magmas have H</span><sub>2</sub><span>O contents (∼0.5&nbsp;wt%, using plagioclase-melt hygrometry) equivalent to typical Kīlauea basalts. Our data and interpretations demonstrate a complex, long-lived rift zone storage system that consisted of multiple magma bodies and was mobilized into eruption through intrusion of a hotter and more primitive summit-derived (uprift) magma.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2026.108617","usgsCitation":"Downs, D.T., and Sas, M., 2026, Mineral chemistry perspective on remobilization of stored magma at Kamakai'a Hills, Southwest Rift Zone of Kilauea, Island of Hawai'i, USA: Journal of Volcanology and Geothermal Research, v. 474, 108617, 21 p., https://doi.org/10.1016/j.jvolgeores.2026.108617.","productDescription":"108617, 21 p.","ipdsId":"IP-183554","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":502744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kamakaiʻa Hills, Kilauea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.509101604398,\n              19.66848997608244\n            ],\n            [\n              -155.509101604398,\n              19.173760203668323\n            ],\n            [\n              -154.75976134321473,\n              19.173760203668323\n            ],\n            [\n              -154.75976134321473,\n              19.66848997608244\n            ],\n            [\n              -155.509101604398,\n              19.66848997608244\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"474","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":959271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sas, May","contributorId":194298,"corporation":false,"usgs":false,"family":"Sas","given":"May","email":"","affiliations":[],"preferred":false,"id":959272,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}