cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25675/10217/186039
title: Cover field data collection

description: For these targeted cover data, 7.32 meter radius plots were used to estimate the abundance and height of the vegetation cover. These georeferenced data were collected and complied as part of a project to map riparian vegetation, tamarisk occurrence and Russian olive occurrence in the Colorado River Basin.
description: The tamarisk & Russian olive data is mainly collected in Colorado, Utah and Arizona. Sampling is done opportunistically as land ownership, access, and logistics allow.
description: Users of these maps and other analysis products are solely responsible for interpretations made from these products. The Natural Resource Ecology Laboratory makes every effort to ensure this map is free of errors but does not warrant the map or its features are either spatially or temporally accurate or fit for a particular use. The Natural Resource Ecology Laboratory provides this map without any warranty, either express or implied.
description: These shapefiles contain 353 species occurrence and absence records for Russian olive (Elaeagnus angustifolia) and tamarisk (Tamarix spp.) along rivers within the Colorado River Basin in Arizona, Colorado, Nevada, and Utah.
DOI: 10.25675/10217/194871
title: Data associated with "Health and environmental justice implications of retiring two coal‐fired power plants in the southern Front Range region of Colorado"

description: R code used to conduct the health impact assessment is available at https://doi.org/10.5281/zenodo.2669422.
description: The dataset includes model predictions of ozone and particulate matter less 2.5 microns in diameter over southern Colorado during years of 2017 and 2035. These files are stored as netCDF files.
description: Despite improvements in air quality over the past 50 years, ambient air pollution remains an important public health issue in the United States. In particular, emissions from coal-fired power plants still have a substantial impact on both nearby and regional populations. Of particular concern is the potential for this impact to fall disproportionately on low-income communities and communities of color. We conducted a quantitative health impact assessment to estimate the health benefits of the proposed decommissioning of coal-fired boilers at two electricity generating stations in the Southern Front Range region of Colorado. We estimated changes in exposures to fine particulate matter (PM2.5) and ozone due to reductions in emission using the Community Multiscale Air Quality model and predicted avoided health impacts and related economic values. In addition to estimating health benefits of reduced emissions, we assessed the distribution of these benefits by population-level socioeconomic status using concentration curves. Across the study area, decommissioning the power plants would result in 4 (95% CI: 2 – 6) avoided premature deaths each year due to reduced PM2.5 exposures and greater reductions in hospitalizations and other morbidities. Health benefits resulting from the modeled shutdowns were greatest in areas with lower median incomes, lower percentages of high school graduates, and higher proportions of households with incomes below the poverty line. However, in our study area, we did not observe higher benefits when examining area-level percentage of residents of color, largely due to the distribution of the smaller proportion of the population in the region that identifies as non-White. Our results suggest that decommissioning the power plants in the southern Front Range and replacing them with zero-emissions sources could have broad public health benefits for residents of Colorado, with larger benefits for those that are socially disadvantaged and historically bear greater environmental pollution burdens. These results also suggested that researchers and decision makers need to consider the unique demographics of their study areas to ensure that important opportunities to reduce health disparities associated with point-source pollution.
DOI: 10.25675/10217/234028
title: Dataset associated with "Enhancements in ammonia and methane from agricultural sources in the northeastern Colorado Front Range using observations from a small research aircraft"

description: Data collected in flight aboard the University of Wyoming King Air research aircraft. The data are from three 2-4 hour flights that occurred on November 9, November 13, and November 15 in 2019. The dataset includes timeseries of trace gases (specifically ammonia, methane, ethane, carbon monoxide, and carbon dioxide) and meteorological and position variables routinely recorded by the aircraft. The flights were conducted in the northeastern Colorado Front Range. A goal of the flights was to sample emissions from agricultural facilities in the area and separate them from other sources in the region, such oil and natural gas production.
description: Quantifying ammonia (NH3) to methane (CH4) enhancement ratios from agricultural sources is important for understanding air pollution and nitrogen deposition. The northeastern Colorado Front Range is home to concentrated animal feeding operations (CAFOs) that produce large emissions of NH3 and CH4. Isolating enhancements of NH3 and CH4 in this region due to agriculture is complicated because CAFOs are often located within regions of oil and natural gas (O&NG) extraction that are a major source of CH4 and other alkanes. Here, we utilize a small research aircraft to collect in-situ 1-Hz measurements of gas-phase NH3, CH4, and ethane (C2H6) downwind of feedlots during three flights conducted in November 2019. Enhancements in NH3 and CH4 are distinguishable up to 10 km downwind of CAFOs with the most concentrated portions of the plumes typically below 0.25 km AGL. We demonstrate that NH3 and C2H6 can be jointly used to separate near-source enhancements in CH4 from agriculture and O&NG. Molar enhancement ratios of NH3 to CH4 are quantified for individual CAFOs in this region, and they range from 0.8 - 2.7 ppbv ppbv-1. A multivariate regression model can be used to attribute the relative contribution of O&NG versus agriculture during the brief study period.
DOI: 10.25675/10217/195747
title: Dataset associated with "Skillful all-season S2S prediction of U.S. precipitation using the MJO and QBO"

description: This repository contains files depicting the model’s skill in each region and season for different combinations of MJO phase, QBO phase, and forecast lead time. The files also show which phase and lead combinations are "skillful forecasts of opportunity", situations in which the model is significantly more skillful than a random forecast. Together, the contents of this repository allow users to better assess the utility of the empirical model in particular regions and seasons of interest. Please refer to the README file for additional details.
description: Although useful at short and medium-ranges, current dynamical models provide little additional skill for precipitation forecasts beyond Week 2 (14 days). However, recent studies have demonstrated that downstream forcing by the Madden-Julian oscillation (MJO) and quasi-biennial oscillation (QBO) influences subseasonal variability, and predictability, of sensible weather across North America. Building on prior studies evaluating the influence of the MJO and QBO on the subseasonal prediction of North American weather, we apply an empirical model that uses the MJO and QBO as predictors to forecast anomalous (i.e., categorical above or below-normal) pentadal precipitation at Weeks 3 through 6 (15-42 days). A novel aspect of our study is the application and evaluation of the model for subseasonal prediction of precipitation across the entire contiguous U.S. and Alaska during all seasons. In almost all regions and seasons, the model provides "skillful forecasts of opportunity" for 20-50% of all forecasts valid Weeks 3 through 6. We also find that this model skill is correlated with historical responses of precipitation, and related synoptic quantities, to the MJO and QBO. Finally, we show that the inclusion of the QBO as a predictor increases the frequency of skillful forecasts of opportunity over most of the contiguous U.S. and Alaska during all seasons. These findings will provide guidance to forecasters regarding the utility of the MJO and QBO for subseasonal precipitation outlooks.
DOI: 10.25675/10217/205828
title: Dataset associated with "Changes to the Madden-Julian oscillation in coupled and uncoupled aquaplanet simulations with 4xCO2"

description: Each zip file contains 20 years daily time series of variables from 20S-20N, 0-360 from 5 aquaplanet Community Atmospheric Model version 5 (CAM5) simulations.
description: The impacts of rising carbon dioxide (CO2) concentration and ocean feedbacks on the Madden-Julian Oscillation (MJO) are investigated with the Community Atmospheric Model version 5 (CAM5) in an idealized aquaplanet configuration. The climate response associated with quadrupled CO2 concentrations and sea surface temperature (SST) warming are examined in both the uncoupled CAM5 and a version coupled to a slab ocean model. Increasing CO2 concentrations while holding SST fixed produces only small impacts to MJO characteristics, while the SST change resulting from increased CO2 concentrations produces a significant increase in MJO precipitation anomaly amplitude, but slower increase in MJO circulation anomaly amplitude, consistent with previous studies. MJO propagation speed increases in both coupled simulations with quadrupling of CO2 and uncoupled simulations with the same climatological surface temperature warming imposed, although propagation speed is increased more with coupling. While climatological SST changes are identical between coupled and uncoupled runs, other aspects of the basic state such as zonal winds do not change identically. For example, climate warming produces stronger superrotation and weaker mean lower tropospheric easterlies in the coupled run, which contributes to greater increases in MJO eastward propagation speed with warming through its effect on moisture advection. The column process, representing the sum of vertical moist static energy (MSE) advection and radiative heating anomalies, also supports faster eastward propagation with warming in the coupled run. How differing basic states between coupled and uncoupled runs contribute to this behavior is discussed in more detail.
DOI: 10.5281/zenodo.3457865
title: Data for the publication "New evidence of soot particles affecting cloud formation and climate"

description: This repository contains the data for the paper: "Ulrike Lohmann, Franz Friebel, Zamin A. Kanji, Fabian Mahrt, Amewu A. Mensah and David Neubauer: New evidence of soot particles affecting cloud formation and climate, submitted, 2019." Each tar-file contains the data (or instructions how to obtain the data) to reproduce a figure or table in our paper. Note that the scripts to plot this data are to be found in the accompanying package (http://dx.doi.org/10.5281/zenodo.3457879)
DOI: 10.5281/zenodo.3763347
title: Data for the publication "New evidence of soot particles affecting cloud formation and climate"

description: This repository contains the data for the paper: "Ulrike Lohmann, Franz Friebel, Zamin A. Kanji, Fabian Mahrt, Amewu A. Mensah and David Neubauer: New evidence of soot particles affecting cloud formation and climate, submitted, 2020." Each tar-file contains the data (or instructions how to obtain the data) to reproduce a figure or table in our paper. Note that the scripts to plot this data are to be found in the accompanying package (http://dx.doi.org/10.5281/zenodo.3457878)
DOI: 10.5281/zenodo.3904171
title: Data for the publication "Future warming exacerbated by aged soot effect on cloud formation"

description: This repository contains the data for the paper: "Ulrike Lohmann, Franz Friebel, Zamin A. Kanji, Fabian Mahrt, Amewu A. Mensah and David Neubauer: Future warming exacerbated by aged soot effect on cloud formation, submitted, 2020." Each tar-file contains the data (or instructions how to obtain the data) to reproduce a figure or table in our paper. Note that the scripts to plot this data are to be found in the accompanying package (http://dx.doi.org/10.5281/zenodo.3457878)
DOI: 10.5281/zenodo.3904268
title: Data for the publication "Future warming exacerbated by aged soot effect on cloud formation"

description: This repository contains the data for the paper: "Ulrike Lohmann, Franz Friebel, Zamin A. Kanji, Fabian Mahrt, Amewu A. Mensah and David Neubauer: Future warming exacerbated by aged soot effect on cloud formation, submitted, 2020." Each tar-file contains the data (or instructions how to obtain the data) to reproduce a figure or table in our paper. Note that the scripts to plot this data are to be found in the accompanying package (http://dx.doi.org/10.5281/zenodo.3457878)
DOI: 10.5281/zenodo.8099923
title: Data for the publication "Future warming exacerbated by aged soot effect on cloud formation"

description: This repository contains the data for the paper: "Ulrike Lohmann, Franz Friebel, Zamin A. Kanji, Fabian Mahrt, Amewu A. Mensah and David Neubauer: Future warming exacerbated by aged soot effect on cloud formation. <em>Nat. Geosci.</em> <strong>13, </strong>674–680 (2020). https://doi.org/10.1038/s41561-020-0631-0" Each tar-file contains the data (or instructions how to obtain the data) to reproduce a figure or table in our paper. Note that the scripts to plot this data are to be found in the accompanying package (http://dx.doi.org/10.5281/zenodo.3457878) Also note that Extended Data Fig. 1 is identical to Supplementary Fig. S4 as well as that Extended Data Table 1 is identical to Supplementary Table S2.
DOI: 10.25675/10217/172977
title: Timelapse wood monitoring network - Fort Fitzgerald

description: This project aims to qualitatively describe and quantitatively estimate volumes of driftwood that are exported to the Arctic Ocean through the Mackenzie River Basin in northern Canada. Work from this project has been featured in a National Geographic blog (http://voices.nationalgeographic.com/2015/08/25/stunning-ways-driftwood-builds-landscapes/) Questions and inquiries about this project can be sent to Natalie Kramer (n.kramer.anderson@gmail.com). A promotional video of this research can be viewed here (http://hdl.handle.net/10217/172978).
description: The impacts of large amounts of driftwood on waterscapes - ecological and physical - are absolutely stunning both in scale and in aesthetics. In rivers draining the mostly undammed Mackenzie basin in Canada, landscape features associated with wood are abundant and reflect conditions that were likely more common in northern latitudes world-wide for the last 10,000 years up to about 200 years ago. As the world's last free flowing rivers are rapidly dammed for hydropower, we seek (eventually) to answer: how will diminishing transport of driftwood impact the biodiversity of river corridors and marine environments? How much more at risk are wood depleted coastlines from erosion associated with sea level rise and extreme weather? And, what impact will wood depletion have on freshwater and marine fisheries?
description: Timelapse wood monitoring raw image data from Fort Fitzgerald Camera located near the Slave River at Fort Fitzgerald water gauge 7NB001, operated by Water Survey Canada. Camera located at: WGS84 59.868923 N 111.582301 W.
DOI: 10.25675/10217/232635
title: Datasets associated with ‘All Logjams Are Not Created Equal’

description: Data set S1: Characteristics of study reaches; Data set S2: Logjam data; both data sets provide raw data collected in the field or calculated from field-derived measurements from stream segments and logjams collected in Rocky Mountain National Park, CO in the summers of 2013 and 2014; this data is used in analyses for the associated publication.
description: Logjams create diverse physical and ecological effects in stream channels, including at least temporary storage of water, sediment, and particulate organic matter. We hypothesize that logjams that span the entire bankfull channel width in channels &lt; 25 m wide are more effective in storing these materials than non-channel spanning logjams. We test this hypothesis by systematically comparing characteristics of 183 logjams from 17 stream reaches in the Southern Rocky Mountains. Our dataset is novel in that it evaluates naturally occurring logjams in unaltered streams in a single study area specifically based on whether they span the stream channel. We find that channel-spanning logjams have a significantly larger number of wood pieces, longer & wider pieces, more ramp and bridge pieces, and greater logjam height and volume, both as raw data and when standardized by average channel width. Channel-spanning logjams also have significantly greater backwater pool volume and volume of particulate organic matter stored in backwater pools and in logjams. Restoration employing engineered logjams in relatively small channels currently focuses on non-spanning logjams, but could be expanded to include spanning logjams.
DOI: 10.25675/10217/228793
title: Cross-Track Infrared Sounder (CrIS) Peroxyacetyl Nitrate (PAN) and Carbon Monoxide (CO) retrievals for the 2018 wildfire season over the western U.S.

description: This dataset includes processed data from Cross-Track Infrared Sounder (CrIS) Peroxyacetyl Nitrate (PAN) and Carbon Monoxide (CO) retrievals from 24 July 2018 – 13 September 2018 coinciding with the wildfire season of 2018 and the Western wildfire Experiment for Cloud chemistry, Aerosol absorption, and Nitrogen (WE-CAN) for the western U.S. (35º N - 50º N lat, 127º W – 101º W lon). There are 50 days of data represented in 50 different .csv files (there is not August 22 and September 3 in the files). Not a Number (Nan) values are left blank.
description: We use new peroxyacetyl nitrate (PAN) observations from the Cross-Track Infrared Sounder (CrIS) on the Suomi National Polar-orbiting Partnership satellite to investigate PAN over the western U.S. during the summer 2018 North American wildfire season. This period coincides with the Western Wildfire Experiment for Cloud Chemistry, Aerosol Absorption, and Nitrogen (WE-CAN). When combined with favorable background conditions, the resolution and sensitivity of CrIS is sufficient to observe PAN production in plumes. CrIS PAN normalized excess mixing ratios (NEMRs) in the Pole Creek Fire increase from 0.2% to 0.4% within 3-4 hours of physical aging, consistent with NEMRs calculated from WE-CAN observations. CrIS is also able to detect PAN and CO enhancements in plumes that have been transported hours to days downwind. On average for the study period, 24-56% of PAN in the free troposphere during the afternoon over the western U.S. can be attributed to fires.
DOI: 10.25675/10217/208774
title: Dataset associated with "Estimation of the state-value function for optimal reservoir operations using continuous action deep reinforcement learning"

description: This dataset includes the source code of an implementation of the deep deterministic policy gradients algorithm to a reservoir operations problem. Also included are the input time series data of inflow and withdrawal at each node in the network and the evaporation table.
description: The state-value function of a reservoir system provides information about the long-term rewards that can be accrued from any state which the system can occupy. This function can be used to determine optimal decisions and is also key piece of information needed when reservoir operators wish to incorporate real-time forecast information. Dynamic programming is the most popular method for calculating the state-value function but has well-known limitations. The "curse of dimensionality,'' which can lead to computational intractability, arises from the discrete nature of the formulation and the backwards recursive solution process precluding consideration of delayed rewards. Continuous action deep reinforcement learning (CADRL) is a recent development for estimating the state-value function when delayed rewards are present and avoids the difficulties associated with use of discrete methods. Since application of this technique to reservoir operation problems is not without its own challenges, presented herein is a computational implementation with refinements needed to provide a stable and reliable learning process. CADRL is applied to development of optimal operational strategies for Lake Mendocino in the Russian River basin of Northern California using two single-objective reward functions, along with a multi-objective reward function for verification purposes. Performance of the optimal policy functions developed from the learning process is evaluated through simulation, with results showing that the system is able to learn far-sighted strategies that outperform idealized policies with foresight.
DOI: 10.25675/10217/170584
title: Hydro-biogeochemistry transport of black carbon project-data
title: BCINT_BPCA_SPAC IR_comp_rev151026 - data table

description: This data package includes a tab-delimited data table and an accompanying tab-delimited file (file name ending in '_var') that denotes header definitions and data types for each column in the data table.
description: Metadata describing the data will be created in Ecological Metadata Language. A data package, including the data values and a metadata file, will be co-located within a landing page, which will be assigned a persistent identifier from Handle.net and include suggested citation verbiage.
description: This was a data set produced from scientific studies conducted on the High Park Fire.
description: This data package was produced by researchers working on the Hyrdo-Biogeochemistry Transport of Black Carbon Project. This project was supported by National Science Foundation and the Water Institute at Colorado State University. This data package includes a tab-delimited data table and an accompanying tab-delimited file (file name ending in "_var') that denotes header definitions and data types for each column in the data table. Detailed metadata also are contained within an Ecological Metadata Language document (i.e. XML). Black carbon (BC) is a ubiquitous component of the carbon cycle, yet controls on its landscape-level distribution, including the relative importance of mechanisms for transport across the terrestrial aquatic interface, are relatively unknown. In June 2012, the High Park Fire (HPF) burned 353 km2 of land in the Cache la Poudre (CLP) watershed just northwest of Fort Collins, CO. Following independent efforts of our group to quantify the effects of the HPF on biogeochemical pools and landscape geomorphology, we aimed to synthesize our respective datasets with two main objectives: 1. determine and relate BC content in different parts of the watershed including litter, soils, river bank sediments and dissolved and particulate organic materials in river water, 2. develop a conceptual framework for mechanisms that contribute to BC export from the CLP on short and long-term time scales. Using the benzene polycarboxylic acid (BPCA) method as a molecular proxy for BC concentrations, we found that the majority of BC deposited on the landscape by the HPF was located in the litter, coarse plant fraction of river bank sediments, and DOC, suggesting that BC mobilized on the landscape is transported downstream through the river network. We also participated in a comparative study to investigate differences between the BPCA method and stable polycyclic aromatic carbon and benzene polycarboxylic acid method. The results of the comparative analysis are included in this data table and this work was supported by an NSF grant for Catalyzing New International Collaborations.