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50 results for “Front Range”
Atmospheric deposition across a Colorado Front Range elevation transect, monthly, 2017-2018
In this dataset, we present seasonal dust fluxes and composition from a Colorado Front Range elevation transect of nine sites extending from the developed plains to the alpine wilderness. From the beginning of November 2017 through the end of November 2018, we collected monthly bulk deposition samples and analyzed them for dust mass fluxes, particulate matter chemistry, and liquid fraction chemistry. Niwot Ridge sites were in operation from June 2018 through September 2018 and are a critical component of this collaboration with the Boulder Creek Critical Zone Observatory, which funded the lower elevation sites. These dust deposition data address open questions about the spatial and temporal variability of dust fluxes and composition across complex mountainous terrain.
Data from: Local adaptation to seasonal cues at the fronts of two parallel, climate-induced butterfly range expansions
<p>Climate change allows species to expand polewards, but non-changing environmental features may limit expansions. Daylength is unaffected by climate and drives life cycle timing in many animals and plants. Because daylength varies over latitudes, poleward-expanding populations must adapt to new daylength conditions. We studied local adaptation to daylength in the butterfly <em>Lasiommata megera</em>, which is expanding northwards along several routes in Europe. Using common garden laboratory experiments with controlled daylengths, we compared diapause induction between populations from the southern-Swedish core range and recently established marginal populations from two independent expansion fronts in Sweden. Caterpillars from the northern populations entered diapause in clearly longer daylengths than those from southern populations, with the exception of caterpillars from one geographically isolated population. The northern populations have repeatedly and rapidly adapted to their local daylengths, indicating that the common use of daylength as seasonal cue need not strongly limit climate-induced insect range expansions.</p>
Figure 10.a. Simulation's display: The characters "\__/" represents the front part of the car that should pass through the string "....==..=.==..==" representing the range of obstacles-Designing a Growing Functional Modules "Artificial Brain"
<p>Once performed the design and configuration, the controller and the local application are<br> executed by pressing the corresponding button. In case of a local simulation, two terminal windows<br> are generated. The first one, localized on the left side of the screen (figure 10.a), displays the<br> behavior of the simulation; the second one, localized on the right side of the screen (figure 10.b),<br> displays the behavior of the controller. Both application run concurrently and their respective<br> contents allow the user to observe and monitor the control session. The last text line of figure 10.b<br> displays the set of commands at cycle 201.</p>
Tables and Data for "Synthesis of Satellite and Surface Measurements, Model Results, and FRAPPÉ Study Findings to Assess the Impacts of Oil and Gas Emissions Reductions on Maximum Ozone in the Denver Metro and Northern Front Range Region in Colorado"
<p>These are data sets and tables used in the paper "Synthesis of Satellite and Surface Measurements, Model Results, and FRAPPÉ Study Findings to Assess the Impacts of Oil and Gas Emissions Reductions on Maximum Ozone in the Denver Metro and Northern Front Range Region in Colorado" to be submitted to Earth and Space Science. The monitor site 2016 and 2017 counts files have gridded HYSPLIT back trajectory counts for the 4 highest ozone concentration days at each site, as described in the manuscript.</p>
Data from: Local adaptation to seasonal cues at the fronts of two parallel, climate-induced butterfly range expansions
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Stable Isotope Hydrology Data from Gnamma Systems in the Colorado Front Range
<p>This dataset accompanies a submission to Geophysical Research Letters titled "Stable Isotopes Constrain Water Seepage from Gnammas into Bare Granitic Bedrock".</p>
Time-lapse observations of snow bedforms in the Colorado Front Range, 2016-2017
<p><strong>Description:</strong> Time-lapse imagery of snow surfaces on Niwot Ridge, in the Colorado Front Range, between March 2016 and April 2017.</p> <p><strong>Purpose:</strong> Videos show the evolution of snow bedforms, including the formation and movement of snow dunes, snow ripples, and sastrugi. Used to analyze the modes of bedform movement, and to constrain the weather conditions in which they form.</p> <p><strong>Equipment, details + weather data: </strong>Time-lapse cameras are Day6 Plotwatcher Pros. They take images every 10s during daylight hours. The cameras are located at -40.054307, -105.590764, 150m upwind of the Niwot Ridge LTER Saddle Station. Bedform movement can thus be correlated with climate and precipitation data from the station, provided at niwot.colorado.edu</p> <p><strong>Filenames:</strong> Files are named yymmddAA.avi, where yy/mm/dd is the date of the recording. When multiple recordings were made in one day, there will be a yymmddAB.avi, yymmddAC.avi, etc. Some filenames are annotated with a description, eg 170226AA-sastrugi.avi. On a few dates (November 2016) the cameras recorded incorrect dates; on these days, the dates in the filenames are to be preferred.</p> <p>Date and time in video: the date, time and temperature are recorded in the bottom of the videos. The date and time are generally accurate, but if they differ from the date in the filename, that date is to be preferred and the time disregarded. Temperature in the film is generally colder than temperature recorded by the nearby weather station, and we generally disregarded it in favor of climate data from niwot.colorado.edu.</p> <p><strong>Data format:</strong> Data are presented as .avi files, which may be run by most video players. Data were originally recorded with proprietary .tlv file extension. The .tlv format is equivalent to .avi; if any .tlv files are found, simply rename them as .avi files and play as usual.</p> <p><strong>Acknowledgements:</strong> This research was supported by a Department of Energy Computational Science Graduate Fellowship (DE-FG02-97ER25308), by a University of Colorado Chancellor's Fellowship, and by the National Science Foundation via support for the Boulder Creek Critical Zone Observatory (EAR-1331828).<br> Field equipment was funded by the American Alpine Club; the Colorado Scientific Society; and a Patterson Award from the University of Colorado Department of Geological Sciences. Field assistants were funded by the University of Colorado Undergraduate Research Opportunities Program. Logistical support and climate data were provided by the NSF-supported Niwot Ridge Long-Term Ecological Research Project and the University of Colorado Mountain Research station.</p>
Dataset for: Efficacy of prescribed fire as a fuel reduction treatment in the Colorado Front Range
<p>Prescribed fires are an important management tool for reducing fuels and returning fire to the landscape. However, rarely are changes in fuels fully quantified using pre- to post-prescribed fire measurements, and those studies that do exist show variable results. In the southern Rockies, little literature exists on the impacts of prescribed fires, thus we examined multiple prescribed fires in northern Colorado to understand fire effects and changes in fuel complexes. Most prominently, prescribed fires influenced litter, duff, and rotten coarse woody debris but did not influence other surface fuels. Crown base height increased and tree density decreased, while basal area was relatively unimpacted. Season of burning impacted fire effects as substrate burn severity, bole char, and crown volume scorched were highest in summer and fall. Continued monitoring of prescribed fires is critical to understand the influence of prescribed fire on wildfires and ultimately improving prescribed fire outcomes.</p>
Advancing and retreating fronts in a changing climate: a percolation model of range shifts
<p>Climate change causes considerable shifts in the geographic distribution of species worldwide. Most data on range movements, however, derive from relatively short periods, within which it is difficult to distinguish directional shifts from random fluctuations. For detecting a shift, it is indispensable to delineate the range precisely. We propose a new method for delineation based on percolation theory. We suggest marking the boundary between the connected and fragmented occurrence of the species (the hull). We demonstrate the advantages of this connectivity-based method on simulated examples in which a metapopulation is advancing vs. retreating along an environmental gradient with different velocities. The simulations show that the hull is a fractal and has the same dimension (7/4) even when the front is advancing or retreating relatively fast, compared to the generation time. It is particularly robust in the retreating (trailing) edge. Accordingly, we propose marking the range edge at the mean position of the hull, the 'connectivity limit' of the species. Theoretical considerations suggest that the position of the connectivity limit is statistically more reliable than those limits that are delineated according to the outermost occurrences, and the connectivity-based method is broadly applicable to real-life data.</p>
Advancing and retreating fronts in a changing climate: a percolation model of range shifts
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Dataset for: Efficacy of prescribed fire as a fuel reduction treatment in the Colorado Front Range
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Dry conifer forest restoration benefits Colorado Front Range avian communities
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Data from: Wildfire activity and land use drove 20th-century changes in forest cover in the Colorado front range
Recent shifts in global forest area highlight the importance of understanding the causes and consequences of forest change. To examine the influence of several potential drivers of forest cover change, we used supervised classifications of historical (1938–1940) and contemporary (2015) aerial imagery covering a 2932‐km2 study area in the northern Front Range (NFR) of Colorado and we linked observed changes in forest cover with abiotic factors, land use, and fire history. Forest cover in the NFR demonstrated broad‐scale changes 1938–2015 and overall cover increased 7.8%, but there was notable spatial variability and many sites also experienced Forest Loss. Recent (1978–2015) wildfire was the largest single driver of Forest Loss, with fires burning 14.3% of the total study area. Recently burned areas showed net losses of 36.9% forest cover. Reasons for Forest Gain were more complex, with elevation, past mining density, fire history, and topographic heat load index being the strongest predictors of increases in forest cover. Historical mining activity is one of the dominant anthropogenic impacts in ecosystems in the NFR and it had a complex, non‐linear relationship with 20th‐century changes in forest cover. Subalpine stands originating after stand‐replacing fires circa mid‐1800s to early 1900s showed some of the greatest gains in forest cover, indicative of slow and continuous post‐fire recovery through the 20th century. We also investigated factors such as land ownership, road density, forest management activities, and development intensity, which played detectable, but more minor roles in observed change. Twentieth‐century changes in forest cover throughout the NFR are a result of ecological disturbances and anthropogenic influences operating at varying timescales and overlaid upon variability in the abiotic environment.
Data from: Human–Cougar interactions in the wildland–urban interface of Colorado's front range
As human populations continue to expand across the world, the need to understand and manage wildlife populations within the wildland–urban interface is becoming commonplace. This is especially true for large carnivores as these species are not always tolerated by the public and can pose a risk to human safety. Unfortunately, information on wildlife species within the wildland–urban interface is sparse, and knowledge from wildland ecosystems does not always translate well to human‐dominated systems. Across western North America, cougars (Puma concolor) are routinely utilizing wildland–urban habitats while human use of these areas for homes and recreation is increasing. From 2007 to 2015, we studied cougar resource selection, human–cougar interaction, and cougar conflict management within the wildland–urban landscape of the northern Front Range in Colorado, USA. Resource selection of cougars within this landscape was typical of cougars in more remote settings but cougar interactions with humans tended to occur in locations cougars typically selected against, especially those in proximity to human structures. Within higher housing density areas, 83% of cougar use occurred at night, suggesting cougars generally avoided human activity by partitioning time. Only 24% of monitored cougars were reported for some type of conflict behavior but 39% of cougars sampled during feeding site investigations of GPS collar data were found to consume domestic prey items. Aversive conditioning was difficult to implement and generally ineffective for altering cougar behaviors but was thought to potentially have long‐term benefits of reinforcing fear of humans in cougars within human‐dominated areas experiencing little cougar hunting pressure. Cougars are able to exploit wildland–urban landscapes effectively, and conflict is relatively uncommon compared with the proportion of cougar use. Individual characteristics and behaviors of cougars within these areas are highly varied; therefore, conflict management is unique to each situation and should target individual behaviors. The ability of individual cougars to learn to exploit these environments with minimal human–cougar interactions suggests that maintaining older age structures, especially females, and providing a matrix of habitats, including large connected open‐space areas, would be beneficial to cougars and effectively reduce the potential for conflict.
Distribution. Wide ranging in the upper Brazilian Amazon Basin, S of the Rio Solimoes-Amazonas, W from the Rio Tapajos, through the N of the states of Mato Grosso and Rondonia (at least to 10° S), and the Madeira, Purus, Jurua, and Javari basins to the Rio Ucayali in E Peru. White-fronted capuchins occur in northern Bolivia, S at least to the middle reaches of the Beni and Mamoré in the departments of Pando, Beni, and La Paz, and they are presumed to be Spix's White-fronted Capuchin. Nevertheless, where distributions of Spix's White-fronted Capuchin and the Shock-headed Capuchin (C. cuscinus) of the upper Purus and SE Peru meetis not known. in Cebidae
Distribution. Wide ranging in the upper Brazilian Amazon Basin, S of the Rio Solimoes-Amazonas, W from the Rio Tapajos, through the N of the states of Mato Grosso and Rondonia (at least to 10° S), and the Madeira, Purus, Jurua, and Javari basins to the Rio Ucayali in E Peru. White-fronted capuchins occur in northern Bolivia, S at least to the middle reaches of the Beni and Mamoré in the departments of Pando, Beni, and La Paz, and they are presumed to be Spix's White-fronted Capuchin. Nevertheless, where distributions of Spix's White-fronted Capuchin and the Shock-headed Capuchin (C. cuscinus) of the upper Purus and SE Peru meetis not known.
Distribution. Notably disjunct distribution in Madagascar with separate populations in the N (moister forests of the Sambirano region and in scattered forest fragments on the slopes of the Tsaratanana Massif), the NW (two areas, one ranging from the Manongarivo Special Reserve to the Mahavavy du Nord River, and a more S extension from the Betsiboka River and Ankarafantsika National Park N to the Maevarano River), and the CE (NE of Antananarivo, N of the Mangoro River as far as the Ambatovaky Special Reserve); the distribution in the N part of its range and its relation to the White-fronted Brown Lemur (FE. albifrons) remain unclear; generally speaking, it occurs inland of the range of the White-fronted Brown Lemur, but additional surveys are needed. Introduced on the Comoros Is. in Lemuridae
Distribution. Notably disjunct distribution in Madagascar with separate populations in the N (moister forests of the Sambirano region and in scattered forest fragments on the slopes of the Tsaratanana Massif), the NW (two areas, one ranging from the Manongarivo Special Reserve to the Mahavavy du Nord River, and a more S extension from the Betsiboka River and Ankarafantsika National Park N to the Maevarano River), and the CE (NE of Antananarivo, N of the Mangoro River as far as the Ambatovaky Special Reserve); the distribution in the N part of its range and its relation to the White-fronted Brown Lemur (FE. albifrons) remain unclear; generally speaking, it occurs inland of the range of the White-fronted Brown Lemur, but additional surveys are needed. Introduced on the Comoros Is.
FIGURE 58. Orobanche kurdica. A. Plant. B. Flower, side view. C. Flower, front view. D. Calyx. E. Bract. F. Leaf. G. Open corolla and androecium. H. Gynoecium. I. Stigma. J in Holoparasitic Orobanchaceae (Cistanche, Diphelypaea, Orobanche, Phelipanche) in Armenia: distribution, habitats, host range and taxonomic problems
FIGURE 58. Orobanche kurdica. A. Plant. B. Flower, side view. C. Flower, front view. D. Calyx. E. Bract. F. Leaf. G. Open corolla and androecium. H. Gynoecium. I. Stigma. J. Anther. Illustration by Jolanta Urbanik.
FIGURE 53. Orobanche laxissima. A. Plant. B. Flower, side view. C. Flower, front view. D. Leaf. E. Bract. F. Calyx. G. Open corolla and androecium. H. Anther. I. Gynoecium. J in Holoparasitic Orobanchaceae (Cistanche, Diphelypaea, Orobanche, Phelipanche) in Armenia: distribution, habitats, host range and taxonomic problems
FIGURE 53. Orobanche laxissima. A. Plant. B. Flower, side view. C. Flower, front view. D. Leaf. E. Bract. F. Calyx. G. Open corolla and androecium. H. Anther. I. Gynoecium. J. Stigma. Illustration by Jolanta Urbanik.
FIGURE 48. Orobanche grossheimii. A. Plant. B. Flower, side view. C. Flower, front view. D. Calyx. E. Bract. F. Leaf. G. Open corolla and androecium. H. Gynoecium. I. Stigma. J in Holoparasitic Orobanchaceae (Cistanche, Diphelypaea, Orobanche, Phelipanche) in Armenia: distribution, habitats, host range and taxonomic problems
FIGURE 48. Orobanche grossheimii. A. Plant. B. Flower, side view. C. Flower, front view. D. Calyx. E. Bract. F. Leaf. G. Open corolla and androecium. H. Gynoecium. I. Stigma. J. Anther. Illustration by Jolanta Urbanik.
FIGURE 40. Orobanche schelkovnikovii. A. Plant. B. Flower, side view. C. Flower, front view. D. Calyx. E. Bract. F. Leaf. G. Open corolla and androecium. H. Gynoecium. I. Stigma. J in Holoparasitic Orobanchaceae (Cistanche, Diphelypaea, Orobanche, Phelipanche) in Armenia: distribution, habitats, host range and taxonomic problems
FIGURE 40. Orobanche schelkovnikovii. A. Plant. B. Flower, side view. C. Flower, front view. D. Calyx. E. Bract. F. Leaf. G. Open corolla and androecium. H. Gynoecium. I. Stigma. J. Anther. Illustration by Jolanta Urbanik.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.