cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25675/10217/83448
title: SGS-LTER long-term monitoring project: spotlight rabbit count on the Central Plains Experimental Range, Nunn, Colorado, USA 1994-2006, ARS study number 98

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. Rabbits are the most important small-mammal herbivores in shortgrass steppe, and may significantly influence the physiognomy and population dynamics of herbaceous plants and woody shrubs. Rabbits also are the most important prey of mammalian carnivores such as coyotes and large raptors such as golden eagles and great horned owls. Two hares (Lepus californicus, L. townsendii) and one cottontail rabbit (Sylvilagus audubonii) occur in shortgrass steppe. In 1994, we initiated long-term studies to track changes in relative abundance of rabbits on the Central Plains Experimental Range (CPER). On four nights each year (one night each season, usually on new moon nights in January, April, July, October), we drove a 32-km route consisting of pasture two-track and gravel roads on the CPER. This was the same route as that driven for carnivore scat counts. Surveys began at twilight. Observers with two spotlights sat in the back of a 4WD pick-up driven at &lt;15 mph. We recorded the perpendicular distance (in m) to each rabbit using a meter tape or range finder; the direction of the rabbit relative to the road; and noted if individuals were solitary or in clusters. We also recorded any carnivores or other animals seen during spotlight surveys. Beginning in Spring 1998, we recorded the vegetation type (habitat) and topographic position of each rabbit seen, as well as position relative to human features, eg windmills, cattle guards, on the landscape. We used the number of rabbits of each species spotted per km of route as an index of relative abundance. We used line-transect approaches in DISTANCE to estimate population densities from perpendicular distance data.
DOI: 10.25675/10217/236406
title: Library Web Site Usage Statistics: Digital Collections, 2003-2017

description: This dataset contains usage statistics collected via Google Analytics for various digital collections on the CSU Libraries’ website, covering dates between 2003 and 2017. These statistics were originally generated and documented by Greg Vogl (Middleware Developer, Academic Computing and Networking Services, formerly Library Technology Services staff), and stored on a website (https://lib2.colostate.edu/staff/web/webstats/digital.html) which was discontinued in 2022. The usage statistics reports were downloaded by Amy Ball Wicklund (Library Developer and Applications Administrator), and this README documentation was created by Mara Sedlins (Data Management Specialist). Contact persons listed on the collection pages are included as authors as well.
DOI: 10.25675/10217/185610
title: Data behind Figures in "Peroxy acetyl nitrate (PAN) measurements at northern midlatitude mountain sites in April: a constraint on continental source–receptor relationships"

description: This archive contains data used for figures in "Peroxy acetyl nitrate (PAN) measurements at northern midlatitude mountain sites in April: a constraint on continental source–receptor relationships." Included are data from model simulations of the year 2001, and observations spanning the years 1995-2010. Data is primarily in text file format aside from a collection of gridded modeled data in netCDF format. Full contents are described in README file.
description: Abundance-based model evaluations with observations provide critical tests for the simulated mean state in models of intercontinental pollution transport, and under certain conditions may also offer constraints on model responses to emission changes. We compile multiyear measurements of peroxy acetyl nitrate (PAN) available from five mountaintop sites and apply them in a proof-of-concept approach that exploits an ensemble of global chemical transport models (HTAP1) to identify an observational "emergent constraint". In April, when the signal from anthropogenic emissions on PAN is strongest, simulated PAN at northern midlatitude mountaintops correlates strongly with PAN source–receptor relationships (the response to 20 % reductions in precursor emissions within northern midlatitude continents; hereafter, SRRs). This finding implies that PAN measurements can provide constraints on PAN SRRs by limiting the SRR range to that spanned by the subset of models simulating PAN within the observed range. In some cases, regional anthropogenic volatile organic compound (AVOC) emissions, tracers of transport from different source regions, and SRRs for ozone also correlate with PAN SRRs. Given the large observed interannual variability in the limited available datasets, establishing strong constraints will require matching meteorology in the models to the PAN measurements. Application of this evaluation approach to the chemistry– climate models used to project changes in atmospheric composition will require routine, long-term mountaintop PAN measurements to discern both the climatological SRR signal and its interannual variability.
DOI: 10.25675/10217/233650
title: Data and code associated with “Supporting Adaptive Management with Ecological Forecasting: Chronic Wasting Disease in the Jackson Elk Herd”

description: Final_Data.zip contains several spreadsheets representing data collected by both the Wyoming Game and Fish Department and the US Fish and Wildlife Service for elk management: Jackson feedground census, 1998-2016; Harvest data, 1997-2015; Hunt area census, 1998-2016; Chronic wasting disease test results, 1998-2015. Final_Code.zip contains several Program R scripts written for data analysis and model fitting as described in the full associated article.
description: Adaptive management has emerged as the prevailing approach for combining environmental research and management to advance science and policy. Adaptive management, as originally formulated by Carl Walters in 1986, depends on the use of Bayesian models to provide a framework to accumulate knowledge. The emergence of ecological forecasting using the Bayesian framework has provided robust tools and supports a new approach to informing adaptive management, which can be particularly useful in developing policy for managing infectious disease in wildlife. We used the potential infection of elk populations with chronic wasting disease in the Jackson Valley of Wyoming and the National Elk Refuge as a model system to show how Bayesian forecasting can support adaptive management in anticipation of management challenges. The core of our approach resembles the sex- and age-structured, discrete time models used to support management decisions on elk harvest throughout western North America. Our model differs by including stages for CWD infected and unaffected animals. We used data on population counts, sex and age classification, and CWD testing, as well as results from prior research, in a Bayesian statistical framework to predict model parameters and the number of animals in each age, sex, and disease stage over time. Initial forecasts suggested CWD may reach a mean prevalence in the population of 12%, but uncertainty in this forecast is large and we cannot rule out a mean forecasted prevalence as high as 20%. Using recruitment rates observed during the last two decades, the model predicted that a CWD prevalence of 7% in females would cause the population growth rate (l) to drop below 1, resulting in population declines even when female harvest was zero. The primary value of this ecological forecasting approach is to provide a framework to assimilate data with understanding of disease processes to enable continuous improvement in understanding the ecology of CWD and its management.
DOI: 10.25675/10217/179300
title: Intensive modified Whittaker plot locations in the Bale Mountains

description: Spatial locations of Intensive Modified Whittaker plot locations in the Bale Mountains, Ethiopia. Each location represents the center of a 20 meter x 50 meter plot where vegetation and wildlife data were collected.
DOI: 10.5281/zenodo.8100137
title: Validation of C3S SM combined v202212 vs C3S SM combined v202012 vs ISMN 20230110 global

description: QA4SM validation: C3S SM combined v202212 vs C3S SM combined v202012 vs ISMN 20230110 global. URL: https://qa4sm.eu/ui/validation-result/240161ef-60c6-4224-805d-5361d36b2a82. Produced on QA4SM (https://qa4sm.eu)
DOI: 10.5281/zenodo.8100136
title: Validation of C3S SM combined v202212 vs C3S SM combined v202012 vs ISMN 20230110 global

description: QA4SM validation: C3S SM combined v202212 vs C3S SM combined v202012 vs ISMN 20230110 global. URL: https://qa4sm.eu/ui/validation-result/240161ef-60c6-4224-805d-5361d36b2a82. Produced on QA4SM (https://qa4sm.eu)
DOI: 10.25675/10217/176159
title: Plant level spring current annual growth and height on observation plots in Yellowstone's Northern Range, 2008-2013

description: Zip file includes: data and metadata file.
description: Data file and metadata sheet for column fields.
DOI: 10.25675/10217/235524
title: Dataset associated with "A First-Order Approximation of Floodplain Soil Organic Carbon Stocks in a River Network: the South Platte River, Colorado, USA"

description: This data includes floodplain extent, raw floodplain data (elevation, stream order association), floodplain widths, and lake and reservoir information for the South Platte river basin.
description: We use the hydrogeomorphic floodplain tool GFPLAIN to delineate the extent of 100-year floodplains in the South Platte River watershed of Colorado, USA. We distinguish elevation bands for the steppe, montane, subalpine, and alpine zones. We also differentiate bead (floodplain width/channel width &gt; 5) and string (floodplain width/channel width &lt; 5) reaches within the montane and subalpine zones. Drawing on prior, field-based measurements of organic carbon stock in downed, dead wood and soil in these floodplain types, we estimate total floodplain organic carbon storage, which includes organic carbon storage in lake and reservoir sediments in the watershed. Soil constitutes the greatest reservoir of floodplain carbon. The total estimated area of floodplain is 2916 km2, which is 4.3% of the total watershed area of the South Platte River. Our preferred estimate is 42.7 Tg C storage (likely range of 39.1-42.7 Tg). This equates to 11.1% of a previously estimated overall carbon stock (above and belowground biomass and soil organic carbon) in the entire watershed of 384 Tg C. Floodplains are thus disproportionately important, relative to their surface area, in storing organic carbon in this semiarid watershed. Field measurements of floodplain soil organic carbon storage from across the globe indicate that this finding is not unique to this watershed and this has implications for prioritizing floodplain management and restoration as a means of enhancing carbon sequestration.
DOI: 10.25675/10217/186046
title: Elevation (10 meter) for Colorado River Basin

description: The DEM layer was downloaded in approximately 127 tiles, it was merged and reprojected to North America Albers Equal Area Conic coordinate system.
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: This elevation layer, which is part of the National Elevation Dataset (NED), is available from the USGS National Geospatial Program. It has a 10 meter resolution and covers the Colorado River Basin.
DOI: 10.25675/10217/201623
title: Dataset associated with "mRNA localization is linked to translation regulation in the Caenorhabditis elegans germ lineage"

description: This dataset contains all primary microscopy data presented or analyzed in the publication "mRNA localization is linked to translation regulation in the Caenorhabditis elegans germ lineage." Source data and code used for creation of plots can be found at https://github.com/muellerflorian/parker-rna-loc-elegans.
description: Caenorhabditis elegans early embryos generate cell-specific transcriptomes despite lacking active transcription. This presents an opportunity to study mechanisms of post-transcriptional regulatory control. In seeking the mechanisms behind this patterning, we discovered that some cell-specific mRNAs accumulate non-homogenously within cells, localizing to membranes, P granules (associated with progenitor germ cells in the P lineage), and P-bodies (associated with RNA processing). Transcripts differed in their dependence on 3'UTRs and RNA Binding Proteins, suggesting diverse regulatory mechanisms. Notably, we found strong but imperfect correlations between low translational status and P granule localization within the progenitor germ lineage. By uncoupling these, we untangled a long-standing question: Are mRNAs directed to P granules for translational repression or do they accumulate there as a downstream step? We found translational repression preceded P granule localization and could occur independent of it. Further, disruption of translation was sufficient to send homogenously distributed mRNAs to P granules. Overall, we show transcripts important for germline development are directed to P granules by translational repression, and this, in turn, directs their accumulation in the progenitor germ lineage where their repression can ultimately be relieved.
DOI: 10.5281/zenodo.8100151
title: Validation of C3S SM combined v202212 vs C3S SM combined v202012 vs ISMN 20230110 global (anomalies)

description: QA4SM validation: C3S SM combined v202212 vs C3S SM combined v202012 vs ISMN 20230110 global. URL: https://qa4sm.eu/ui/validation-result/ba00b64b-3b61-4426-9b07-29df7e8e3620. Produced on QA4SM (https://qa4sm.eu)
DOI: 10.5281/zenodo.8100150
title: Validation of C3S SM combined v202212 vs C3S SM combined v202012 vs ISMN 20230110 global (anomalies)

description: QA4SM validation: C3S SM combined v202212 vs C3S SM combined v202012 vs ISMN 20230110 global. URL: https://qa4sm.eu/ui/validation-result/ba00b64b-3b61-4426-9b07-29df7e8e3620. Produced on QA4SM (https://qa4sm.eu)
DOI: 10.25675/10217/186057
title: Dataset for Natural and anthropogenic controls on wood loads in river corridors of the Rocky, Cascade, and Olympic mountains, USA

description: This dataset describes wood loads in four mountain river basins of the Western United States. In addition to wood load, this dataset includes valley bottom, topographic, and forest characteristics. Please see the accompanying article (DOI listed upon publication) for a full explanation of methods used to collect this data and resulting analysis.
DOI: 10.25675/10217/232176
title: Dataset associated with "Three flavors of radiative feedbacks and their implications for estimating Equilibrium Climate Sensitivity"

description: These are numerical data for all plots shown in the paper: 1) The LongRunMIP output of global and annual mean “tas” and “netTOA” for the models CCSM3 (abrupt2x and aburpt4x), CESM (abrupt2x and abrupt4x), CNRMCM61 (abrupt2x and abrupt4x), ECHAM5MPIOM (abrupt4x), GISSE2R (abrupt4x), HadCM3L (abrupt2x and abrupt4x), HadGEM2 (abrupt4x), IPSLCM5A (abrupt4x), MPIESM11 (abrupt4x), MPIESM12 (abrupt2x and abrupt4x) 2) ECSvalues.txt contain the ECS estimates as shown in Fig. 2 in the paper. ECSvalues_Bayesianfit.txt contain the ECS estimate with uncertainty ranges of the energy balance model as presented in Proistosescu et al. 2017. 3) Model output of global and annual mean “tas” and “netTOA” for the model CESM 1.0.4, as shown in Fig. 1. "cesmtempfit*.nc” are the splines fitted to the “tas” output for converting the differential feedback parameter from temperature to time, as detailed in Rugenstein et al. 2016.
description: The realization that atmospheric radiative feedbacks depend on the underlying patterns of surface warming and global temperature, and thus, change over time has led to an ignition of feedback definitions and methods to estimate equilibrium climate sensitivity. We contrast three flavors of radiative feedbacks -- equilibrium, effective, and differential feedback -- and discuss their physical interpretations and applications. We show that their values at any given time can differ more than 1Wm-2K-1 and their implied equilibrium or effective climate sensitivity can differ several degrees. With ten (quasi) equilibrated climate models, we show that 400 years might be enough to estimate the true equilibrium climate sensitivity with a 5% error and a simple regression method utilizing the differential feedback parameter. We argue that a community-wide agreement on the interpretation of the different feedback definitions would advance the quest to narrow the estimate of climate sensitivity.
DOI: 10.25675/10217/229664
title: Dataset associated with “Characterizing the importance of denitrification for N2O production in soils using natural abundance and isotopic labelling techniques”

description: This dataset was collected for the author's second dissertation chapter. Data was collected both in the Loch Vale Watershed in Rocky Mountain National Park in Colorado and the Limited Irrigation Research Farm near Greeley, Colorado. All data was analyzed at Colorado State University from June-August 0f 2018. This dataset includes both soil physical and chemical properties from both of the soil sampling sites, and it includes greenhouse gas data from laboratory soil incubations. Specifically, from the incubations we measured N2O concentration and N2O isotopic composition.
description: Nitrous oxide (N2O), a potent greenhouse gas that contributes significantly to climate change, is emitted mostly from soils by a suite of microbial metabolic pathways that are nontrivial to identify, and subsequently, to manage. Using either natural abundance or enriched stable isotope methods has aided in identifying microbial sources of N2O, but each approach has limitations. Here, we conducted a novel pairing of natural abundance and enriched assays on two dissimilar soils, hypothesizing this pairing would better constrain microbial sources of N2O. We incubated paired natural abundance and enriched soils from a corn agroecosystem and a subalpine forest in the laboratory at 10-95% soil saturation for 28 hr. The natural abundance method measured intramolecular site preference (SP) from emitted N2O, whereas the enriched method measured emitted 15N2O from soils amended with 15N-labelled substrate. The isotopic composition of emitted N2O was measured using a laser-based N2O isotopic analyzer, yielding two key findings. First, both methods revealed that denitrification was the primary source of N2O in all soils: isotopic enrichment revealed clear NO3- reduction to N2O, while SP indicated a likely combination of fungal and bacterial denitrification. Second, we quantified, to our knowledge for the first time, persistent (&gt;55%) β-position-specific enrichment in N2O emitted from 15NO3- -amended soils. This counter-intuitive enrichment pattern could be indicative of co-denitrification, an understudied but potentially important contributor to N2O emissions. Our work revealed the ubiquity of denitrification among the soils tested. Future pairings of natural abundance and enriched methods could better characterize diverse denitrification pathways.
DOI: 10.25675/10217/193080
title: Dataset associated with "Spatial and temporal patterns of sediment storage and erosion following a wildfire and extreme flood"

description: Data provided include digital elevation models (DEMs), DEM of Differences (DoD), rainfall depth and maximum 30-minute intensity (MI30), and morphometric data for analyses on two burned watersheds, Skin Gulch (SG) and Hill Gulch (HG), just west of Fort Collins, Colorado, U.S.A. The DEMs and DoDs cover the channel networks, while the precipitation data cover the entire watersheds. For more detailed information about the methodology in creating these data and how the data were used please refer to Brogan (2018).
description: Post-wildfire landscapes are highly susceptible to rapid geomorphic changes at both the hillslope and watershed scales due to the increases in infiltration-excess overland flow, hillslope and channel erosion, and downstream deposition. While there have been numerous studies of these processes at the hillslope scale, relatively few studies have documented larger-scale post-fire geomorphic changes over time. In this study we used five airborne laser scanning (ALS) datasets collected over four years to quantify valley bottom changes in two ~15 km2 watersheds, Skin Gulch and Hill Gulch, after the June 2012 High Park fire in northern Colorado and followed by a large mesoscale flood 15 months later. The objectives were to: 1) quantify spatial and temporal patterns of erosion and deposition throughout the channel network following the wildfire and subsequent flooding; and 2) investigate the extent to which these changes can be related to precipitation amounts and intensities, burn severity, and valley and basin morphology. Geomorphic changes were quantified using a DEMs of difference (DoD) approach for the channel network segmented into 50-m lengths. The DoDs show net sediment accumulation after the wildfire in the valley bottoms in both watersheds, with the greatest accumulation after summer thunderstorms in the first two years after burning in areas with wider and flatter valley bottoms. In contrast, the mesoscale flood caused large amounts of net erosion, with the greatest erosion in those areas with the greatest post-fire deposition. Volume changes for the different time periods were low but significantly correlated to, in order of highest correlation, contributing area, channel width, percent burned at high and/or moderate severity, channel slope, confinement ratio, maximum 30-minute rainfall, and total rainfall. These results suggest that morphometric characteristics, when combined with burn severity and a specified storm, can indicate the relative likelihood and locations for post-fire erosion and deposition. This information can help assess downstream risks and prioritize areas for post-fire hillslope rehabilitation treatments.