cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9yuxkec
title: Experimental evaluation of predator exclosures on nest, chick, and adult survival data for the Northern Great Plains piping plover, 2014 - 2016

description: This dataset presents four tabular data files that evaluate the effect of predator exclosures around piping plover (Charadrius melodus) nests on plover nest, chick, within-season, and annual adult survival. During 2014-2016, we designed an experiment to examine nest (n = 418), chick (n = 453), and adult (n = 367) survival at alkaline wetlands of the Northern Great Plains. Alkaline wetlands were divided between treatment wetlands and control wetlands (no exclosures placed anywhere on wetland). Field crews aimed to place predator exclosures around half of all plover nests found resulting in three treatment types: uncaged nest on control wetland, uncaged nest on treatment wetland, and caged nest on treatment wetland. The nest survival dataset includes values used with the Shaffer logistic exposure model as well as the treatment of nest and wetland separately. The chick survival dataset includes a censored Cormack-Jolly-Seber encounter history based on when chicks were searched for in addition to the experimental treatment, the region of the study area, and the density of chicks at each wetland basin. Adult survival was examined over two time periods, during incubation (within season) and annually, resulting in two separate datasets, and took advantage of resightings of individuals outside the focal study area. The within season survival dataset includes a Barker model encounter history, region, experimental treatment, and a measure of habitat availability based on a climate index (standard precipitation-evapotranspiration index). The annual adult survival dataset includes a Barker model encounter history and the time-varying experimental treatment.
DOI: 10.5066/p9qyr28m
title: Ten Largest Annual Instantaneous Floods and Seasonal Signal for Reference Streamgages in the United States, Water Years 1966-2015

description: These data describe the 10-largest annual, instantaneous flood peaks and corresponding dates of those largest floods for 473 streamgages in the Hydro-Climatic Data Network (HCDN) HCDN-2009 (Lins, 2012) network; they are also the data and results used in the companion manuscript by Collins, M.J, Hodgkins, G.A., Archfield, S.A., and Hirsch, R.M, under review, &quot;The occurrence of large floods in the United States in the modern hydroclimate regime: seasonality, trends, and large-scale climate associations,&quot; and submitted to Water Resources Research. The HCDN-2009 (Lins, 2012) network is a subset of streamgages classified as unimpaired to the extent possible that any upstream regulation or urbanization could be evaluated. From this network, the set of streamgages was further narrowed based on their completeness of record and according to the criteria used in Hodgkins et al. (2019) and Dudley et al (2018), which requires that each decade of annual flood peaks have at least 8 observations or 80 percent completeness in each decade. Of the 473 streamgages, 386 streamgages overlapped with those streamgages classified by McCabe and Wolock (2014) into 14 geographically-coherent clusters that correspond to climatic and physiographic regions across the country and are noted in the dataset. These clusters were used to determine months with flood-rich or flood-poor months, also reported in the data release. For those streamgages not included in McCabe and Wolock (2014), streamgages were assigned to one of the 14 classes by applying the methods outlined in their paper. The metadata includes an attribute column to denote which streamgages fall into this category and which streamgages were included in McCabe and Wolock (2014). Lins, H.F. (2012). USGS hydro?climatic data network 2009 (HCDN?2009). U.S. Geological Survey Fact Sheet 2012?3047, 4 p., available only at https://pubs.usgs.gov/fs/2012/3047/. McCabe, G. J., and Wolock, D. M. (2014), Spatial and temporal patterns in conterminous United States streamflow characteristics, Geophys. Res. Lett., 41, 6889? 6897, doi:10.1002/2014GL061980.
DOI: 10.5066/p9tuao5g
title: Basin Characteristics and Streamflow Statistics for Selected Gages, Alaska, USA (ver. 2.0, September, 2022)

description: This data release documents the data used for the associated publication "Evaluating hydrologic region assignment techniques for ungaged watersheds in Alaska, USA" (Barnhart and others, 2022) The data sets within this release are stored in 14 files: (1) Streamflow observations and sites used. (2) Statistically estimated streamflow values computed for each site. (3) Streamflow statistics computed from observed and estimated streamflow values at each site, basin characteristics for each site, and hydrologic regions (clusters) for each site. (4) A dataset describing the optimal number of hydrologic regions into which the considered sites were grouped. (5) P-values from a multiple comparisons analysis testing for statistical differences between clusters for each basin characteristic and streamflow statistic. (6) A matrix of zeros and ones describing the performance of each hydrologic region assignment technique considered in the publication associated with this release. (7) A dataset of variable importance generated by random forest modeling-based hydrologic region assignment techniques evaluated. (8-14) Daily datasets of simulated SnowModel (Liston and Elder, 2006) runoff (snowmelt + rainfall), precipitation, glacial melt, snow water equivalent, snow covered area, liquid precipitation, and air temperature for Alaska, USA at a 1 km grid cell size.
DOI: 10.5066/p928bvhr
title: Novel genetic resources for Clubshell freshwater mussels (Pleurobema clava, P. oviforme) for enhanced conservation

description: Here we provide public access to two mitochondrial DNA sequence alignments, multi-locus microsatellite DNA genotypes, morphometric measurements and details on all specimens utilized in Morrison et al., 2021 (In press).
DOI: 10.5066/p9dug9o3
title: Data on the Enrichment and Isolation of the Acetylenotrophic and Diazotrophic Isolate Bradyrhizobium sp. strain I71 (ver 2.0, September 2022)

description: Acetylene (C2H2) is a molecule rarely found in nature, with few known natural sources, but acetylenotrophic microorganisms can use acetylene as their primary carbon and energy source. As of 2018 there were 15 known strains of aerobic and anaerobic acetylenotrophs, however we hypothesized that there may be yet unrecognized diversity of acetylenotrophs in nature. In this study, we expanded this diversity by isolating an aerobic acetylenotroph, Bradyrhizobium sp. strain I71, from trichloroethene (TCE)-contaminated soils undergoing bioremediation. TCE-contaminated soils from the NASA Ames Research Center in California were used to establish soil microcosms with acetylene as the primary carbon substrate and acetylene uptake was tracked over time and reported in T1_soil_microcosm_v2.0.csv. DNA was extracted from soil microcosm samples for microbial community analysis based on 16S rRNA gene sequencing; the resulting operational taxonomic units are presented in T2_soil_OTU_v2.0.csv. Bradyrhizobium sp. strain I71 was isolated from the soil microcosms and acetylene uptake and cell growth data for the isolate over time are shown in T3_soil_isolate_v2.0.csv. Nitrogen fixation assays for the pure culture of Bradyrhizobium sp. strain I71 are reported in T4_N2_fixation_v2.0.csv. Acetylene concentrations and cell densities from acetylenotrophic and heterotrophic growth assays for Bradyrhizobium sp. strain I71 are reported in T5_GrowthCurve_v2.0.csv
DOI: 10.5066/p91x4epq
title: Fractional cover estimates of sweet clover derived from UAV, aerial, and Sentinel-2 imagery for central Montana and northwest South Dakota, 2019

description: Yellow sweet clover (Melilotus officinalis; clover hereafter) is a biennial legume native to Eurasia that is now present in all 50 states. Clover can grow 2 m tall and achieve high densities across large areas in the Northern Great Plains when conditions are conducive, such as in 2019. Clover is highly efficient at fixing nitrogen in soils which reduces the abundance of native grasses, while simultaneously facilitating invasion of non-native grasses, which may alter fire regimes. In contrast, clover provides considerable forage for ungulates, attracts a wide variety of insects that, along with clover seeds, are important to waterfowl, gamebirds, and songbirds, and supports numerous pollinators. Little is known about the extent of clover [...]
DOI: 10.5066/p9w1p2e0
title: Post-release point locations and survival history of fishers translocated from British Columbia to Olympic National Park, Washington, 2008-2010

description: The data set includes point location data and survival status of 90 fishers that were translocated from central British Columbia, Canada, to Olympic National Park, Washington, 2008-2010.
DOI: 10.5066/p9tpn4f3
title: Data from: A hidden Markov model for estimating age-specific survival when age and size are uncertain
DOI: 10.5066/p970w305
title: Model parameters and output of net ecosystem carbon balance for the Great Dismal Swamp, Virginia and North Carolina, USA

description: In this study, we determined the carbon balance in the Great Dismal Swamp, a large forested peatland in the southeastern USA, which has been drained for over two hundred years and now is being restored through hydrologic management. We modeled future net ecosystem carbon balance over 100 years (2012 to 2112) using in situ field observations paired with simulations of water-table depth. The three scenarios used in the model were baseline conditions, flooded/wet conditions, and drained/dry conditions, which represent a range of potential management actions and climate conditions at the Great Dismal Swamp. This U.S. Geological Survey Data Release provides the modeled output estimating the net ecosystem carbon balance, on an annual time-step, from 2012 through 2112, for each scenario. The U.S. Geological Survey modeling framework is referred to as the Land Use and Carbon Scenario Simulator (LUCAS), which uses a state-and-transition simulation model coupled with a carbon stock-flow model. The model operates within an open source software environment (SyncroSim) to annually track changes in vegetation (i.e., cedar, maple-gum and pine-pocosin) and their corresponding carbon stocks. The modeled output for each scenario is provided in a tabular format (csv).
DOI: 10.5066/p9660c55
title: Tidal hydrologic and constitutent loads from First Mallard Water Quality Station in the Rush Ranch Marsh Complex of the San Francisco Bay Estuarine Research Reserve (SFBNERR) 2016-2018

description: The data herein report continuous field measurements and specific discrete sampling events associated with water quality and carbon consitutents - both dissolved and particulate forms. These data were coupled with atmospheric flux measurements during the 2017-18 water year to estimate the net storage of fixed carbon within the marsh on an areal basis. Direct and indirect measurement showed 47 to 59% of fixed carbon is stored on site, and most loss is through dissolved inorganic carbon (DIC) export. Comparing this with other tidal wetlands in the U.S. showed similar rates of loss, and a global meta-analysis showed that lateral loss is a proportionally larger term in coastal wetland carbon budgets, relative to other terrestrial systems.
DOI: 10.5066/p9kxz295
title: Juvenile Smallmouth Bass Sampling from the Yellowstone River, Montana 2016-2019

description: Field data of age-0 smallmouth bass (Micropterus dolomieu) estimated age, lengths and weights, distribution from field sampling, and results from environmental DNA surveys from the Yellowstone River in Montana. Data were used in conjunction with existing stream temperature data from USGS gages to evaluate if temperature is related to age-0 size at the onset of winter.
DOI: 10.5066/p9gfkjcy
title: Potential Accumulation of Soil Organic Matter from Carbon Cycling within Greater Everglades Cypress and Pine Forested Wetlands data

description: These data quantify components of the carbon cycle within Big Cypress National Preserve in Florida. Continuous data time-series include net ecosystem exchange of carbon dioxide, methanogenesis, and soil bulk density.
DOI: 10.5066/p9inh1id
title: Mineralogic, grain-size, biologic, and stable isotopic analyses of core TOPGUN-SODA10 2A-K from Big Soda Lake, Nevada, USA

description: These data were collected from the TOPGUN-SODA10 2AK core collected in 2010 by LacCore (University of Minnesota), the USGS. and the University of California (U.C.) Berkeley. The 8.9 meter length core had stable isotopes of oxygen and carbon sampled every 10 millimeters or so, and diatoms samples at every 50 millimeters to 200 millimeters depending on the depth in the core. mineralogic data were collected using X-ray diffraction and grain-size analysis were done at various depths. These data are used to interpret the Holocene and late Pleistocene hydrology and paleoclimate of the lake and the region. The interpretation can be found in: Rosen, M.R., Reidy, L., Starratt, S., Zimmerman, S., in review, Middle Holocene hydrologic changes in Big Soda Lake, Nevada, USA, caused by river avulsion. In Rosen, M.R., Finkelstein, D., Park-Boush, L., and Pla Plueyo, S. (eds.) Limnogeology: Progress, challenges and opportunities: A tribute to Beth Gierlowski-Kordesch, Syntheses in Limnogeology No. 2, Springer.
DOI: 10.5066/p9he9wkk
title: Hawaii Island insect response to koa moth (Scotorythra paludicola) outbreak, 2013-2014

description: This data release includes metadata and tabular data that document the responses of koa moths and other insects to changes in habitat conditions before and after koa (Acacia koa) defoliation by koa moth caterpillars (Scotorythra paludicola) at Hakalau Forest National Wildlife Refuge during 2013-2014. Data sets document changes in (1) koa moth abundance, (2) koa moth caterpillar abundance, (3) koa moth parasitoid abundance, (4) koa moth caterpillar frass production, and (5) koa moth caterpillar parasitism rate.
DOI: 10.5066/p9cems0m
title: Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020)

description: Daily lake surface temperatures estimates for 185,549 lakes across the contiguous United States from 1980 to 2020 generated using an entity-aware long short-term memory deep learning model. In-situ measurements used for model training and evaluation are from 12,227 lakes and are included as well as daily meteorological conditions and lake properties. Median per-lake estimated error found through cross validation on lakes with in-situ surface temperature observations was 1.24 degrees C. The generated dataset will be beneficial for a wide range of applications including estimations of thermal habitats and the impacts of climate change on inland lakes.
DOI: 10.5066/p97izjxl
title: Pre and post treatment (2016-2021) vegetation cover for three southwest Idaho sites treated with pre-emergent herbicides after fire

description: Selective herbicide application is a common restoration strategy to control exotic invaders that interfere with native plant recovery after wildfire. Whether spraying with preemergent or bioherbicides releases native plants from competition with exotics ("spray-and-release" strategy) and can make communities resistant to re-invasion by exotic annual grasses (e.g., cheatgrass, medusahead), without risks to non-target native plants or secondary invasion, is a major question for land managers of semiarid plant communities. We applied chemical herbicides (imazapic, rimsulfuron) and weed-suppressive bacteria (Pseudomonas fluorescens strains MB906 and D7) to three different sagebrush-steppe communities after fire. We measured plant cover prior to burning and for four years after treatments.
DOI: 10.5066/p9bcq50e
title: Adaptive Management Using Prescribed Fire in Gulf of Mexico Marshes to Benefit Black Rails, Yellow Rails, and Mottled Ducks

description: U.S. Geological Survey and partners are testing the effects of prescribed fire on Black Rails, Yellow Rails, and Mottled Ducks in the high marsh habitats of the northern Gulf of Mexico region. The study is conducted in cooperation with Mississippi State University, Illinois Natural History Survey, U.S. Fish and Wildlife Service, state agencies, universities, and non-governmental organizations. The objectives of this project are to develop an adaptive management framework that allows land managers to reduce our uncertainty about the effects of prescribed fire on these species and the habitats on which they depend, and give managers tools and information that will help them determine the best management actions to improve high marsh habitat for the focal species. The datasets included here were compiled during the development and application of the adaptive management framework.
DOI: 10.5066/p95och4k
title: Qualitative value of information for the effects of prescribed fire in Gulf of Mexico marshes: Expert judgment scores from a 2020 adaptive management workshop

description: This data set was collected as part of a structured decision-making workshop designed to identify sources of uncertainty and articulate alternative hypotheses about prescribed fire in high marshes of the Gulf of Mexico. Workshop participants independently scored alternative hypotheses based on a standard rubric using an online system. Following the workshop, we used the scores to compute QVoI for each participant. We used QVoI to prioritize the sources of uncertainty based on their magnitude of uncertainty, relevance for decision making, and reducibility.
DOI: 10.5066/p9l0xgeg
title: Data used to estimate groundwater salinity above the Montebello oil field (California, USA)

description: This release contains borehole geophysical electrical log data (elogs), total dissolved solids sample data (TDS), and geostatistical program files used to estimate the salinity distribution in groundwater above and in the vicinity of the Montebello Oil Field, located near Los Angeles, California, USA. Original data are drawn from a variety of publicly available sources and are combined here for use in geostatistical simulation and estimation. The extent of the estimation area is a 3-mile buffer zone surrounding the Montebello Oil Field administrative boundary, and the subsurface aquifer region lying above locally mapped oil-bearing units. The data compilation and analysis were done as part of the California State Water Resources Control Board Oil and Gas Regional Monitoring Program and the associated USGS California Oil, Gas, and Groundwater (COGG) Program.
DOI: 10.5066/p9uxjvni
title: Sample collection information and microsatellite data for Northern Black Swifts in 6 colonies across Colorado, New Mexico and Idaho

description: This dataset contains sample collection information and microsatellite genotype data for Northern Black Swifts in 6 colonies across Colorado, New Mexico and Idaho. This data was collected to examine levels of genetic diversity and connectivity among Black Swift colonies and also to assess parentage at a subset of those sites. This study helps clarify the breeding system of the Black Swift and is the first study to determine parentage of a subset of offspring using molecular methods.
DOI: 10.5066/p94uhepj
title: Quantitative polymerase chain reaction detection data for controlled DNA contamination experiments

description: This data shows the quantification cycle at which fluorescence signals crossed a threshold fluorescence for samples analyzed as part of controlled experiments to determine whether contaminating DNA is present in samples under varying experimental conditions.
DOI: 10.5066/p9monopj
title: Pseudogymnoascus destructans detections by US county 2013-2020

description: This data documents the results of sampling for the white-nose syndrome fungus, Pseudogymnoascus destructans (Pd) at the USGS National Wildlife Health Center between 2013-2020. Data are reported on the county level. Locations are accurate to county only. We used data collected at winter locations only (hibernaculum) for this data set.
DOI: 10.5066/p9xl6wto
title: Spectral reflectance measurements of radiometric calibration panels for UAS image calibration

description: Calibration panels are used as reference materials with known reflectance characteristics to convert remote sensing image pixel values to scientific units such as reflectance. At the time of purchase, the panel vendor typically provides the customer with reflectance data for the panel. The vendor-provided spectral data as a reference for each panel’s reflectance values at the time of purchase. Over time, the panel’s reflectance can change due to exposure of its surface to elements such as the sun, dirt, dust, sand, and more during the panel’s use in the field. The purpose of this dataset is to enable the assessment of calibration panel reflectance changes over time. In addition to the vendor-provided spectral data for a series of panels at each panel's respective time of purchase, we measured the reflectance characteristics of each panel using a handheld spectroradiometer instrument and share those spectra in this data release. These Calibrated Reflectance Panels were manufactured by MicaSense (MicaSense Inc., Seattle, WA, USA; http://www.micasense.com/), which was also the source of the vendor-provided reflectance data. The vendor-provided data is provided as absolute reflectance (a value between 0.0 and 1.0) in the range of 400 nm to 850 nm (in increments of 1 nm). These vendor-provided spectra are provided in Comma Separated Value file format (files with a .csv extension) with two columns (wavelength, reflectance). We combined the vendor-provided spectral data into a single .csv file for this data release. On February 10, 2020, USGS researchers collected a series of reflectance spectra using a handheld field spectroradiometer for five calibration panels, each delivered to the customer on different dates between 2015-2019 and subjected to different field work conditions over time. This enables an assessment of calibration panel reflectance changes over time. The instrument used to measure the panel reflectance spectra was the Analytical Spectral Devices FieldSpec® 4 Hi-Res (ASD FS4; ASD Inc., a Malvern PANalytical Company, Longmont, Colorado) covering the range from 0.35 to 2.5 µm. These handheld collected reflectance spectra were exported in the .txt format from the ASD ViewSpecPro software, and we combined the collected spectral data into a single Comma Separated Value file format (with a .csv extension).
DOI: 10.5066/p9j9qq96
title: Hakalau litter, frass, soil, and understory foliar nitrogen during a koa moth outbreak, 2013-2014

description: This data release includes metadata and tabular data that document estimates of litterfall, koa moth (Scotorythra paludicola) caterpillar frass production, soil nutrients, and foliar nutrients during 2013-2014 at Hakalau Forest National Wildlife Refuge. During this time, there was a massive defoliation event of Acacia koa (koa) trees by the koa moth. We monitored these metrics in 4 sites that varied in forest structure and composition at Hakalau. We used litter traps to monitor koa litter fall over time and foliar %N to estimate N inputs from litter. We used caterpillar counts, koa canopy estimates, frass production rates, and frass %N to estimate N inputs from frass on the landscape. We used resin bags under koa canopy where frass was directly falling as compared to open grass sites where no frass was falling to monitor soil inorganic N and P over time. Finally we collected foliage of various plant species over time, and tested for %N, under koa versus in the open to track how nutrients in frass fall may track into plants.