cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12378101.v2
title: Extraction of dust collected in HVAC filters for quantitative filter forensics

description: The analysis of dust collected on the filters installed in the heating, ventilation, and air-conditioning (HVAC) systems, filter forensics, is a useful approach to explore concentration, size distribution, and composition of indoor particles. The extraction of dust from filters represents one of the biggest challenges to obtain accurate results from filter forensics. Although vacuuming is one of the most common dust extraction techniques, it is unclear how efficient it is and whether it provides a representative sample in terms of particle size. In this article, we used a high-capacity vacuum sampler to extract dust from 20 filters artificially loaded with well-characterized test dust as well as from 41 filters naturally loaded in residential HVAC systems. After all extractions, we recovered 0.1–5.5 g and 0.02–11.4 g of dust from the artificially and naturally loaded filters, respectively. These ranges were equivalent to 11.3–52.2% and 1.8–72.9% recovery efficiency, the ratio of dust recovered to the dust loaded in the filters. Multiple extractions were found to be an effective strategy to add to the recovery to enable filter forensics for the detection of multiple analytes. The recovered samples were slightly over-representative of particles greater than 10 µm. Therefore, caution should be taken when applying filter forensics for studying contaminants associated with smaller particles. Copyright © 2020 American Association for Aerosol Research
DOI: 10.6084/m9.figshare.12858050
title: Exhaled respiratory particles during singing and talking

description: Exhaled respiratory particles during singing and talking
DOI: 10.6084/m9.figshare.12858050.v1
title: Exhaled respiratory particles during singing and talking

description: Exhaled respiratory particles during singing and talking
DOI: 10.6084/m9.figshare.12858050.v2
title: Exhaled respiratory particles during singing and talking

description: Exhaled respiratory particles during singing and talking
DOI: 10.5281/zenodo.7661386
title: jarcasariego/ACER_clonal_divergence: v.1.0

description: This repository provides data and scripts used for the creation of the manuscript: "Multi-omic characterization of mechanisms contributing to rapid phenotypic plasticity in the coral Acropora cervicornis under divergent environments" Abstract Phenotypic plasticity is defined as a property of individual genotypes to produce different phenotypes when exposed to different environmental conditions. This ability may be expressed at behavioral, biochemical, physiological, and/or developmental levels, exerting direct influence over species' demographic performance. In reef-building corals, a group critically threatened by global change in the Anthropocene, non-genetic mechanisms (i.e., epigenetic and microbiome variation) have been shown to participate in plastic physiological responses to environmental change. Yet, the precise way in which these mechanisms interact, contribute to such responses, and their adaptive potential is still obscure. The present work aims to fill this gap by using a multi-omics approach targeting the complexity and interconnection among the components modulating phenotypic plasticity in staghorn coral (Acropora cervicornis) clones subject to different depth conditions. Results show conspicuous variation in lipidome, epigenome and transcriptome, but not in symbiotic and microbial communities. In addition, a potential shift towards a more heterotrophic feeding behavior was found in corals at higher depth. These observations are consistent with a multi-mechanism modulation of rapid acclimation in corals, underscoring the complexity of this process and the importance of a multifactorial approach to inform potential intervention to enhance coral adaptive capacity. <strong>Full Changelog</strong>: https://github.com/jarcasariego/ACER_clonal_divergence/commits/v.1.0
DOI: 10.5281/zenodo.7661387
title: jarcasariego/ACER_clonal_divergence: v.1.0

description: This repository provides data and scripts used for the creation of the manuscript: "Multi-omic characterization of mechanisms contributing to rapid phenotypic plasticity in the coral Acropora cervicornis under divergent environments" Abstract Phenotypic plasticity is defined as a property of individual genotypes to produce different phenotypes when exposed to different environmental conditions. This ability may be expressed at behavioral, biochemical, physiological, and/or developmental levels, exerting direct influence over species' demographic performance. In reef-building corals, a group critically threatened by global change in the Anthropocene, non-genetic mechanisms (i.e., epigenetic and microbiome variation) have been shown to participate in plastic physiological responses to environmental change. Yet, the precise way in which these mechanisms interact, contribute to such responses, and their adaptive potential is still obscure. The present work aims to fill this gap by using a multi-omics approach targeting the complexity and interconnection among the components modulating phenotypic plasticity in staghorn coral (Acropora cervicornis) clones subject to different depth conditions. Results show conspicuous variation in lipidome, epigenome and transcriptome, but not in symbiotic and microbial communities. In addition, a potential shift towards a more heterotrophic feeding behavior was found in corals at higher depth. These observations are consistent with a multi-mechanism modulation of rapid acclimation in corals, underscoring the complexity of this process and the importance of a multifactorial approach to inform potential intervention to enhance coral adaptive capacity. <strong>Full Changelog</strong>: https://github.com/jarcasariego/ACER_clonal_divergence/commits/v.1.0
DOI: 10.5066/f75d8pw8
title: Integrating Spatially Explicit Indices of Abundance and Habitat Quality: An Applied Example for Greater Sage-grouse Management

description: This study provides timely and highly useful information about greater sage-grouse over a large area of the Great Basin. USGS researchers and their colleagues created a template for combining landscape-scale occurrence or abundance data with habitat selection data in order to identify areas most critical to sustaining populations of species of conservation concern. The template also identifies those areas where land use changes have minimal impact. To inform greater sage-grouse conservation planning, the researchers developed greater sage-grouse habitat management categories based on habitat selection indices (HSI) and greater sage-grouse abundance and space-use index (AUI). When integrated, these two information layers can delineate where prime grouse habitat overlaps with highest grouse abundance, and thus identify areas of conservation priority. The methodology was initially presented in USGS Open-File Report Spatially explicit modeling of greater sage-grouse habitat in Nevada and northeastern CaliforniaA decision-support tool for management (OFR 2014-1163). The journal article showcases using more than 35,500 independent telemetry locations of over 1,600 sage-grouse tagged and studied over 15 years across 12 subregions in Nevada and northeastern California (excluding the Bi-State). The researchers then applied this information to spatially-explicit management scenarios in order to provide example maps of areas of conservation priority, i.e., Core Areas, Priority Areas, General Areas, and Non-Habitat Areas.
DOI: 10.5066/p99cnyhp
title: Trend Estimates of Common Raven Populations in the United States and Canada, 1966 - 2018

description: These data identify the mean population growth rate and ratio change in abundance of common raven (Corvus corax; ravens) populations from 1966 through 2018, delineated by ecoregions defined by the U.S. Environmental Protection Agency. This enables researchers and land managers to identify regions which may be more heavily affected by growing raven populations. These data support the following publication: Harju, S.M., Coates, P.S., Dettenmaier, S.J., Dinkins, J.B., Jackson, P.J. and Chenaille, M.P., 2022. Estimating trends of common raven populations in North America, 1966-2018. Human-Wildlife Interactions, 15(3), p.5. https://doi.org/10.26077/c27f-e335
DOI: 10.5066/p9t5jt8n
title: Data maps of predicted raven density and areas of potential impact to nesting sage-grouse within sagebrush ecosystems of the North American Great Basin

description: These data represent predicted common raven (Corvus corax) density (ravens/square-km) derived from random forest models given field site unit-specific estimates of raven density that were obtained from hierarchical distance sampling models at 43 field site units within the Great Basin region, USA. Fifteen landscape-level predictors summarizing climate, vegetation, topography and anthropogenic footprint were used to predict average raven density at each unit. A raven density of greater than or equal to 0.40 ravens/square-km corresponds to below-average survival rates of sage-grouse (Centrocercus urophasianus) nests. We mapped areas which exceed this threshold within sage-grouse concentration areas to determine where ravens may be impacting sage-grouse populations.
DOI: 10.5066/p9pguzv0
title: Database for the geologic map of the upper Santa Cruz River basin, southern Arizona

description: This digital publication contains the database, base maps, and style files used to build the geologic map of the upper Santa Cruz River basin in southern Arizona published in U.S. Geological Survey Scientific Investigations Map 3490 (Page and others, 2023). Shapefiles are also included for the user&rsquo;s convenience. In the database, there are polygon features outlining the map units and data sources; line features delineating contacts, faults, and other geologic lines such as dikes, anticlines, and synclines; point features marking where there are age or structural data; and nonspatial tables in which the description of map units, data sources, and glossary information can be found. The database follows the geologic map schema(GeMS) standard format for the digital publication of geologic maps published in U.S. Geological Survey Techniques and Methods 11&ndash;B10. The user is directed to the metadata for detailed information on each database component.
DOI: 10.5066/p9xqiwru
title: Potential Explanatory Variables for Groundwater Quality in the Redding-Red Bluff Shallow Aquifer Assessment Study Unit, 2018-2019: California GAMA Priority Basin Project

description: This data release codifies and attributes explanatory variables that could potentially influence groundwater quality at 50 groundwater wells used for domestic water supply and 43 groundwater sites used for public water supply in the U.S. Geological Survey’s Priority Basin Project Redding-Red Bluff shallow aquifer (NSV-SA) study unit in 2018-2019 and Northern Sacramento Valley public-supply (NSV-PA) study unit in 2007, respectively. Water quality from domestic and public-supply groundwater sites was assessed as part of the California State Water Resources Control Board’s Groundwater Ambient Monitoring and Assessment (GAMA) program. The NSV-SA and NSV-PA study units include domestic and public-supply wells within sedimentary aquifers [...]
DOI: 10.5066/p9fwfc7r
title: Locations of small-scale diamond and gold dredges detected using Synthetic Aperture Radar on the Kad&amp;amp;eacute;&amp;amp;iuml; (Sangha) River, Central African Republic

description: This data release catalogs the locations of small-scale diamond and gold mining dredges on the Kadéï (Sangha) River, Central African Republic from the years 2015 to 2019. The Kadéï river flows through the Nola prefecture in the CAR and is known to host placer diamond deposits. The dataset was developed through visual interpretation of 387 Synthetic Aperture Radar (SAR) scenes. The point shapefile contains 1,747 locations of vessels, identified by type as either a dredge, idle vessel, or ferry.
DOI: 10.5066/p9zbfxi5
title: Historical (1940&amp;amp;ndash;2006) and recent (2019&amp;amp;ndash;20) aquifer slug test datasets used to model transmissivity and hydraulic conductivity of the Mississippi River Valley alluvial aquifer from recent (2018&amp;amp;ndash;20) airborne electromagnetic (AEM) survey data

description: The Mississippi River Valley alluvial aquifer (“alluvial aquifer”) is one of the most extensively developed aquifers in the United States. The alluvial aquifer is present at the land surface in parts of southeastern Missouri, northeastern Louisiana, western Mississippi, western Tennessee and Kentucky near the Mississippi River, and throughout eastern Arkansas. Historical (1940–2006) and recent (2019–20) aquifer-test datasets were compiled to model transmissivity and hydraulic conductivity of the alluvial aquifer from recent (2018–19) airborne electromagnetic (AEM) survey data. This data release contains the aquifer-test and geophysical data along with computer codes written in Matlab version R2014a syntax used to process the data as [...]
DOI: 10.5066/p9jedr0g
title: Data to Inform an Integrated Population Model of Translocated Columbian Sharp-Tailed Grouse, Nevada 2013 - 2017

description: These data include encounter histories, nest attempts, hatched egg counts, brood counts, time-varying matrices, survival statistics, and lek counts, all used in an integrated population model (IPM) to determine the status of a population of translocated Columbian sharp-tailed grouse (Tympanuchus phasianellus columbianus; CSTG) in Nevada. Sharp-tailed grouse were translocated to a remote site in Nevada starting in 2013 through 2017. These data support the following publication: Mathews, S.R., Coates, P.S., Prochazka, B.G., Espinosa, S.P., and Delehanty, D.J., In review. Offspring of translocated individuals drive the successful reintroduction of Columbian Sharp-tailed Grouse in Nevada, USA. Ornithological Applications.
DOI: 10.5066/p9qfkvk8
title: Operation of an electrical barrier to block sea lamprey in the Black Mallard, Michigan, detailing stream temperature, conductivity, discharge, electric field intensity, and animals trapped and killed during 2016, 2017, and 2018

description: Sea lamprey (Petromyzon marinus) control is achieved in tributaries to the Laurentian Great Lakes by applying lamprey-specific pesticides (lampricide) to habitats containing larval sea lamprey. Lampricide treatments are cheaper and more effective in watersheds where dams block runs of adult sea lamprey and hence limit the distribution of sea lamprey larvae. However, dams impound water and those without fishways block movement of valued fishes, outcomes that are untenable for some stakeholders. Here, an alternative to physical barriers was tested to block adult sea lamprey; a portable and seasonal non-physical barrier of pulsed direct current that does not impound water, allows fish passage when not operated, and is relatively cheap. The electric field was operated in the Black Mallard River, Michigan, USA, March through August, 2016-2018. Here, we release data collected during the deployment of this barrier including stream discharge, water temperature, water conductivity, electric field measurements, animals captured in traps deployed downstream and upstream of the barrier, and dead animals recovered from downstream and upstream of the barrier.
DOI: 10.5066/p94nr0d9
title: Argon data for Santa Cruz Basin (ver. 1.1, November 2022)

description: This data release includes 40Ar/39Ar data from the U.S. Geological Survey for samples from the Santa Cruz Basin, Arizona. Mineral samples were collected by Kenzie Turner and William Page from the upper Santa Cruz Basin, Arizona. Potassium-bearing mineral grains were separated from the bulk sample and analyzed by argon geochronology at the U.S. Geological Survey Argon Geochronology Laboratory in Denver, Colorado. The data provide age constraints on units in the relevant geologic mapping area.
DOI: 10.5066/p96b7abg
title: Strontium and uranium isotopic compositions (87Sr/86Sr and 234U/238U) of mid- to late-Holocene lacustrine sediments from Lower Pahranagat Lake, Pahranagat National Wildlife Refuge, Lincoln County, Nevada

description: This data release includes a table of concentrations (Sr, U) and radiogenic-isotope compositions (87Sr/86Sr, 234U/238U) for samples of modern lake water as well as a table of isotopic compositions (87Sr/86Sr and 234U/238U) for carbonate-rich samples from a 12.4-m-long composite core of lacustrine sediment from Lower Pahranagat Lake in southeastern Nevada, USA. Stratigraphic and geochronologic context for depths and ages of core material are also included here based on Bayesian age-depth modeling software (Bacon v. 2.2) published in a previous report (Theissen et al., 2019, https://doi.org/10.1017/qua.2019.11).
DOI: 10.5066/p9spvn51
title: Field data for evaluation of the LISST-SL2, an in-stream particle-size analyzer, at selected rivers in Washington and Virginia, 2018-20

description: Measurements of suspended-sediment concentration and particle-size distribution were made in selected rivers located in Washington and Virginia with an in-stream, particle-size analyzer that uses laser-diffraction methods to measure the concentration and size of suspended particles. Measurements were made in 11 rivers from 2018 to 2019 using the LIST-SL2, a second-generation streamlined sensor that is part of the Laser In Situ Scattering and Transmissometry (LISST) series of instruments manufactured by Sequoia Science Inc. ( Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government, the authors, or their affiliations). Physical samples of sediment were collected concurrently with sediment samplers approved by the Federal Interagency Sedimentation Project. Physical samples collected in Washington were analyzed for suspended sediment concentration and particles size at the USGS Cascade Volcano Observatory SedLab. Physical samples collected in Virginia were analyzed at Virginia Tech using evaporation methods (Guy,1969) and a CILAS 1190 particle size analyzer. ADCP measurements of water velocity were made using a TRDI-RiverRay ADCP at sites in Washington, and a Sontek-M9 ADCP at sites in Virginia. This data release contains four tables (*.csv files) that summarize all data collected for each sampling event. Table 1 lists the individual deployments and summarizes the data collected by the LISST-SL2, physical sampler and ADCP for each deployment. Table 2 lists the concentration of particle sizes measured by the LISST-SL2 for each deployment listed in table 1; Table 3 is a subset of sites and particle size data collected by the LISST-SL2, presented as cumulative percent finer and relative depth; Table 4 is particle size data from physical samples and presented as cumulative percent finer and relative depth. Raw data files for the LISST-SL2 (*.RBS and *.ASC files), TRDI-RiverRay ADCP (*.mmt and *.PD0 files), and Sontek-M9 ADCP (*.rivr files) that were used to generate these tables are provided in this data release.
DOI: 10.6073/pasta/858d161fa40b1ae9187ea06541add8c3
title: 1830 Map of Land Cover and Cultural Features in Massachusetts

description: Background and Data Limitations The Massachusetts 1830 map series represents a unique data source that depicts land cover and cultural features during the historical period of widespread land clearing for agricultural. To our knowledge, Massachusetts is the only state in the US where detailed land cover information was comprehensively mapped at such an early date. As a result, these maps provide unusual insight into land cover and cultural patterns in 19th century New England. However, as with any historical data, the limitations and appropriate uses of these data must be recognized: (1) These maps were originally developed by many different surveyors across the state, with varying levels of effort and accuracy. (2) It is apparent that original mapping did not follow consistent surveying or drafting protocols; for instance, no consistent minimum mapping unit was identified or used by different surveyors; as a result, whereas some maps depict only large forest blocks, others also depict small wooded areas, suggesting that numerous smaller woodlands may have gone unmapped in many towns. Surveyors also were apparently not consistent in what they mapped as ‘woodlands’: comparison with independently collected tax valuation data from the same time period indicates substantial lack of consistency among towns in the relative amounts of ‘woodlands’, ‘unimproved’ lands, and ‘unimproveable’ lands that were mapped as ‘woodlands’ on the 1830 maps. In some instances, the lack of consistent mapping protocols resulted in substantially different patterns of forest cover being depicted on maps from adjoining towns that may in fact have had relatively similar forest patterns or in woodlands that ‘end’ at a town boundary. (3) The degree to which these maps represent approximations of ‘primary’ woodlands (i.e., areas that were never cleared for agriculture during the historical period, but were generally logged for wood products) varies considerably from town to town, depending on whether agricultural land clearing peaked prior to, during, or substantially after 1830. (4) Despite our efforts to accurately geo-reference and digitize these maps, a variety of additional sources of error were introduced in converting the mapped information to electronic data files (see detailed methods below). Thus, we urge considerable caution in interpreting these maps. Despite these limitations, the 1830 maps present an incredible wealth of information about land cover patterns and cultural features during the early 19th century, a period that continues to exert strong influence on the natural and cultural landscapes of the region. Acknowledgements Financial support for this project was provided by the BioMap Project of the Massachusetts Natural Heritage and Endangered Species Program, the National Science Foundation, and the Andrew Mellon Foundation. This project is a contribution of the Harvard Forest Long Term Ecological Research Program.