cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25675/10217/182733
title: Data associated with the manuscript: Investigating diesel engines as an atmospheric source of isocyanic acid in urban areas

description: Isocyanic acid (HNCO), an acidic gas found in tobacco smoke, urban environments and biomass burning-affected regions, has been linked to adverse health outcomes. Gasoline- and diesel-powered engines and biomass burning are known to emit HNCO and hypothesized to emit precursors such as amides that can photochemically react to produce HNCO in the atmosphere. Increasingly, diesel engines in developed countries like the United States are required to use Selective Catalytic Reduction (SCR) systems to reduce tailpipe emissions of oxides of nitrogen. SCR chemistry is known to produce HNCO as an intermediate product, and SCR systems have been implicated as an atmospheric source of HNCO. In this work, we measure HNCO emissions from an SCR system-equipped diesel engine and, in combination with earlier data, use a three-dimensional chemical transport model (CTM) to simulate the ambient concentrations and source/pathway contributions to HNCO in an urban environment. Engine tests were conducted at three different engine loads, using two different fuels and at multiple operating points. HNCO was measured using an acetate chemical ionization mass spectrometer. The diesel engine was found to emit primary HNCO (3-90 mg kg-fuel-1) but we did not find any evidence that the SCR system or other aftertreatment devices (i.e., oxidation catalyst and particle filter) produced or enhanced HNCO emissions. The CTM predictions compared well with the only available observational data sets for HNCO in urban areas but under-predicted the contribution from secondary processes. The comparison implied that diesel-powered engines were the largest source of HNCO in urban areas. The CTM also predicted that daily-averaged concentrations of HNCO reached a maximum of ~110 pptv but were an order of magnitude lower than the 1 ppbv level that could be associated with physiological effects in humans. Precursor contributions from other combustion sources (gasoline and biomass burning) and wintertime conditions could enhance HNCO concentrations but need to be explored in future work.
DOI: 10.25675/10217/198711
title: Dataset associated with "A mineralogy-based anthropogenic combustion-iron emission inventory"

description: Contains yearly-averaged total and soluble iron concentration and deposition fields along with separate variables for dust and combustion.
description: The atmospheric supply of iron can modulate ocean biogeochemistry, due to its key role in global nitrogen and carbon cycles, with current estimates predicting up to 20% of global ocean net primary productivity depending on this source. We estimate anthropogenic iron using a detailed technology-based estimation method, resolve it into mineral components, and model soluble iron emissions using various available solubility representation methods including mineralogy. Including metal smelting as a source that emits about 75% of anthropogenic iron, we show that anthropogenic iron emissions are up to 10 times higher in the fine aerosol fraction (&lt;1 µm) than previous inventories. We find that in regions where primary productivity is iron limited, anthropogenic combustion-iron contributes up to half of the soluble iron flux to North Pacific Ocean, but less than 5% to the Southern Ocean. We also find that increasing complexity in representing anthropogenic iron solubility does not necessarily improve model-observation comparison and factors other than under anthropogenic influence largely affect solubility.
DOI: 10.25675/10217/214187
title: Data associated with "Interpersonal relationships drive successful team science: an exemplary case-based study"

description: Social network data collected on a scientific team 2015-2018.
description: Team science, or collaborations between groups of scientists with varying expertise, is required for researching solutions to complex problems of the 21st century. Despite the essential need for such transdisciplinary interactions, knowledge about training scientists and developing personal mastery, a set of principles and practices necessary for team learning, also referred to as the science of team science (SciTS) in productive team interactions is still in its nascent stages. This article reports on a longitudinal case study of an exemplary scientific team and evaluates the following question: How do scientists enhance their productivity through participation in transdisciplinary teams? Through a focused SciTS study applying mixed methods, including social network surveys, participant observation, focus groups, interviews, and historical social network data, we found that the interactions of an international, transdisciplinary scientific team trained scientists to become experts in their field, helped the team develop personal mastery, advanced their scientific productivity, and fulfilled the land grant mission. The team’s processes and practices to train new scientists propelled new ideas, collaborations, and research outcomes over a 15-year period. This case study highlights that in addition to specific scientific discoveries, scientific progress benefits from developing and forming interpersonal relationships among scientists from diverse disciplines.
DOI: 10.25675/10217/187762
title: Dataset for Geomorphic regulation of floodplain soil organic carbon concentration in watersheds of the Rocky and Cascade mountains, USA

description: These data describe organic carbon concentrations in rivers and associated characteristics. These data were collected during 2016 and 2017, and support analyses described in the journal article listed below.
description: Mountain rivers have shown the potential for high organic carbon (OC) storage in terms of retaining OC-rich soil. We characterize valley bottom morphology, floodplain soil, and vegetation in two disparate mountain river basins: the Middle Fork Snoqualmie, in the Cascade Mountains, and the Big Sandy, in the Wind River Range of the Rocky Mountains. We use this dataset to examine variability in OC concentration between these basins as well as within them, at multiple spatial scales. We find that although there are some differences between basins, much of the variability in OC concentration is due to local factors, such as soil moisture and valley bottom geometry. From this, we conclude that local factors likely play a dominant role in regulating OC concentration in valley bottoms, and that inter-basin trends in climate or vegetation characteristics may not translate directly to trends in OC storage. We also use analysis of OC concentration and soil texture by depth to infer that OC is input to floodplain soils mainly by decaying vegetation, not overbank deposition of fine, OC-bearing sediment. Geomorphology and hydrology play strong roles in determining the spatial distribution of soil OC in mountain river corridors.
DOI: 10.25675/10217/87159
title: SGS-LTER GIS layer with detailed information on physical landmarks on Central Plains Experimental Range, Nunn, Colorado, USA 2012

description: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Repository (http://hdl.handle.net/10217/100254). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection.
DOI: 10.25675/10217/201558
title: MOR2 plot level climate data

description: MOR2 study plot level climate data from the WordClim (1950-2000), Climate Prediction Center (1979-2012), and APHRODITE (1961-2007).
DOI: 10.25675/10217/82449
title: SGS-LTER standard met data: Cr21x station 12 - meteorological data on the Central Plains Experimental Range in Nunn, Colorado, USA 1986-2010, ARS study number 4

description: The Short Grass Steppe site encompasses a large portion of the Colorado Piedmont Section of the western Great Plains. The extent is defined as the boundaries of the Central Plains Experimental Range (CPER). The CPER has a single ownership and landuse (livestock grazing). The PNG is characterized by a mosaic of ownership and land use. Ownership includes federal, state or private and land use consists of livestock grazing or row-crops. There are NGO conservation groups that exert influence over the area, particularly on federal lands.
description: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Repository (http://hdl.handle.net/10217/100254). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. The objective of this study is to collect baseline meteorological data for the CPER. Datasets auto12_climdb and man11_climdb have been processed for quality and missing values.
DOI: 10.25675/10217/83465
title: SGS-LTER genetic structure of metapopulations of black-tailed prairie dogs on the Central Plains Experimental Range and Pawnee National Grassland in Nunn, Colorado, USA 1997-1998

description: The Short Grass Steppe site encompasses a large portion of the Colorado Piedmont Section of the western Great Plains. The extent is defined as the boundaries of the Central Plains Experimental Range (CPER). The CPER has a single ownership and landuse (livestock grazing). The PNG is characterized by a mosaic of ownership and land use. Ownership includes federal, state or private and land use consists of livestock grazing or row-crops. There are NGO conservation groups that exert influence over the area, particularly on federal lands.
description: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Repository (http://hdl.handle.net/10217/100254). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Thirteen colonies of black-tailed prairie dogs were studied within a 264-km2 area of the Central Plains Experimental Range and the Pawnee National Grasslands in Weld County, Colorado. Tissue Collection, DNA Extraction, and microsatellite genotype scoring was performed.
DOI: 10.25675/10217/201607
title: Dataset associated with "Inspiration, inoculation, and introductions are all critical to successful mentorship for undergraduate women pursuing geoscience careers"

description: Survey data were collected via the online Qualtrics survey system one week prior and three months after a professional development workshops held in the winter (January/February) of 2019. Regional professional development workshops were held at Colorado State University (Front Range workshop) and North Carolina State University (Carolinas workshop). This repository contains the data file associated with the pre- and post-workshop surveys utilized in the analyses presented in this research article.
description: Diversity in the geosciences is low despite efforts to improve the representation of different groups in society, for example in terms of gender. Specifically, women are underrepresented in recruitment and retention at every stage of the academic to professional pipeline. Mentoring programs can improve women's motivation and persistence in science, technology, engineering and mathematics (STEM) career pathways. However, mentorship programs consist of multiple components that vary in complexity and cost, which can limit scalability. Here we present results from a randomized experiment with 158 undergraduate women majoring in a geoscience field to identify the critical elements of a successful mentorship program. The combination of three factors was necessary to increase mentoring, motivation, and persistence: inspiration through exposure to geoscience careers via female role models, inoculation through training on how to grow their mentor network and overcome obstacles, and an introduction to a local female geoscientist mentor.
DOI: 10.25934/pr00004620.1
title: Available IPD datapackage for study 'A Randomized, Double-blind Trial of the Efficacy of REMICADE (Infliximab) Compared With Placebo in Subjects With Ankylosing Spondylitis Receiving Standard Anti-inflammatory Drug Therapy'

description: A study of the safety and efficacy of Infliximab (Remicade) versus placebo in subjects with Ankylosing Spondylitis
DOI: 10.25675/10217/176157
title: Well logger data 2012-2015

description: Zip file includes: data and metadata file.
description: Barometric pressure loggers deployed in wells at willow sites in Yellowstone's Northern Range. Data file contains barometric pressure measurements recorded at 6 hour intervals.
DOI: 10.25675/10217/199886
title: Dataset associated with "The C2A domain of synaptotagmin is an essential component of the calcium sensor for synaptic transmission"

description: The dataset includes all electrophysiological, western, and immunohistochemical data and its analysis. Also included are unedited representative blots and traces. All data was complete as of 2019.01.09.
description: The synaptic vesicle protein, synaptotagmin, is the principle Ca2+ sensor for synaptic transmission. Ca2+ influx into active nerve terminals is translated into neurotransmitter release by Ca2+ binding to synaptotagmin's tandem C2 domains, triggering the fast, synchronous fusion of multiple synaptic vesicles. Two hydrophobic residues, shown to mediate Ca2+-dependent membrane insertion of these C2 domains, are required for this process. Previous research suggested that one of its tandem C2 domains (C2B) is critical for fusion, while the other domain (C2A) plays only a facilitatory role. However, the function of the two hydrophobic residues in C2A have not been adequately tested in vivo. Here we show that these two hydrophobic residues are absolutely required for synaptotagmin to trigger vesicle fusion. Using in vivo electrophysiological recording at the Drosophila larval neuromuscular junction, we found that mutation of these two key C2A hydrophoic residues almost completely abolished neurotransmitter release. Significantly, mutation of both hydrophobic residues resulted in more severe deficits than those seen in synaptotagmin null mutants. Thus, we report the most severe phenotype of a C2A mutation to date, demonstrating that the C2A domain is absolutely essential for synaptotagmin's function as the electrostatic switch.
DOI: 10.25675/10217/173650
title: Plant level spring current annual growth and height on experimental plots in Yellowstone's Northern Range, 2003-2015

description: Zip file includes: data; metadata files with metadata for column fields.
description: Data file and metadata sheet for column fields.
DOI: 10.25675/10217/235749
title: Channel delineation datasets associated with "River channel response to invasive plant treatment across the American Southwest"

description: The dataset contains river channel delineations in the form of an ArcGIS PRO shapefile. The shapefile contains polygons that were generated for each study site. There are fifteen study sites. Each study site contains a treated and untreated reach, and each of these reaches has pre- and post-treatment delineations. One study site, Chinle Creek, contains four treated reaches and four untreated reaches.
description: Invasive riparian plants were introduced to the American Southwest in the early 19th century and contributed to regional trends of decreasing river channel width and migration rate in the 20th century. More recently efforts to remove invasive riparian vegetation (IRV) have been widespread, especially since 1990. To what extent has IRV treatment reversed the earlier trend of channel narrowing and reduced dynamism? In this study, paired treated and untreated reaches at 15 sites along 13 rivers were compared before and after IRV treatment using repeat aerial imagery to assess long-term (~10 year) channel change due to treatment on a regional scale across the Southwest U.S. We found that IRV treatment significantly increased channel width and floodplain destruction. Treated reaches had higher floodplain destruction than untreated reaches at 14 of 15 sites, and IRV treatment increased the rate of floodplain destruction by a median factor of 1.9. The effect of treatment increased with the stream power of the largest flow over the study period. Resolving observations of channel change into separate measures of floodplain destruction and formation provided more information on underlying processes than simple measurements of channel width and centerline migration rate. Restoration practitioners who perform IRV treatment projects often focus on wildlife or vegetation response; however, geomorphic processes should be considered in restoration planning because they drive aquatic habitat and vegetation dynamics, and because of the potential for damage to downstream infrastructure. Depending on the restoration goal, management practices can be used to enhance or minimize the increase in channel dynamism caused by IRV removal.
DOI: 10.25675/10217/235553
title: Dataset associated with "Unequal airborne exposure burden to toxic metals is associated with race, ethnicity, and segregation"

description: This dataset contains annual and county-level mean concentrations and mass proportions of fine particulate metals (aggregated from the EPA's CSN/IMPROVE networks), associated minimum detectable limit for each monitor, as well as racial and ethnic demographic population data. This dataset is aggregated from publicly available air pollutant data from the EPA (http://views.cira.colostate.edu/fed/QueryWizard/Default.aspx) and the US Census Bureau (https://data.census.gov/cedsci/). This dataset is used to examine the association of racial residential segregation with fine particulate metal concentrations. The time period ranges from year 2009 to 2019.
description: - Columns labeled "XX_concentration" report the annual and county-level mean concentration in ug m-3 - Columns labeled 'XX_content" report the mass proportion of fine particulate metals relative to PM2.5 mass - Columns labeled "XX_mdl" report the minimum detectable limit for that species at that monitor. In the case of more than one monitor in the county, this column reports the average. - Columns labeled "DI_XX" report the dissimilarity index for the racial/ethnic group using the non-Hispanic White population as the reference population (see associated manuscript for details), where "NHB" corresponds to non-Hispanic Black and "native_amer" to "Native American". - Columns labeled "XX_pop_county" report the county population of the respective racial/ethnic group. These groupings reflect the identification made by individuals in US Census Bureau data. "NHW" refers to "non-Hispanic White". - "CountyFIPS" refers to the county FIPS code. - "Latitude" and "Longitude" reflect the coordinates of the monitor in degrees. In the case of more than one monitor per county, these columns averages.
description: Communities of color have been exposed to a disproportionate burden of air pollution across the United States for decades. Yet, the inequality in exposure to known toxic elements of air pollution is unclear. Here, we find that populations living in racially segregated communities are exposed to a form of fine particulate matter with over three times higher mass proportions of known toxic and carcinogenic metals. While concentrations of total fine particulate matter are two times higher in racially segregated communities, concentrations of metals from anthropogenic sources are nearly ten times higher. Populations living in racially segregated communities have been disproportionately exposed to these environmental stressors throughout the past decade. We find evidence, however, that these disproportionate exposures may be abated though targeted regulatory action. For example, recent regulations on marine fuel oil not only reduced vanadium concentrations in coastal cities, but also sharply lessened differences in vanadium exposure by segregation.
DOI: 10.25675/10217/170619
title: Anomalous integrated water vapor transport-based atmospheric river detection algorithm

description: Additional information is provided in the @README.pdf included within the compressed file and in the appendix of the referenced Journal of Climate article.
description: Atmospheric rivers (ARs) are often characterized as transient, plume-like structures of focused tropospheric water vapor and intense low-level winds that contribute substantially to the atmospheric branch of the hydrologic cycle. Here, we provide an abridged version of an AR detection algorithm, written in the Python 2.7 programming language, that was developed to facilitate climatological and dynamical analyses of ARs. This algorithm employs a unique approach of detecting AR-like features from within gridded fields of anomalous integrated water vapor transport. The use of anomalies was found to be efficient and to benefit automated feature detection in large spatial (i.e., North Pacific) and temporal (i.e., sub-daily across all seasons) domains.
DOI: 10.25675/10217/170247
title: Supporting information (SI) for Gill et al. 2016 manuscript
DOI: 10.25675/10217/85633
title: SGS-LTER cross-site study: natural abundance N15 study-plants and soils on the shortgrass steppes of Colorado, USA and Patagonia, Argentina

description: The Short Grass Steppe site encompasses a large portion of the Colorado Piedmont Section of the western Great Plains. The extent is defined as the boundaries of the Central Plains Experimental Range (CPER). The CPER has a single ownership and landuse (livestock grazing). The PNG is characterized by a mosaic of ownership and land use. Ownership includes federal, state or private and land use consists of livestock grazing or row-crops. There are NGO conservation groups that exert influence over the area, particularly on federal lands.
description: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Repository (http://hdl.handle.net/10217/100254). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection.
DOI: 10.25675/10217/234376
title: Climatic data of the CSU Mountain Campus and surrounding area collected during the summers between 1959 and 1964

description: Climatic data of the CSU Mountain Campus and surrounding area collected during the summers between 1959 and 1964.