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2,155 results for “Ridging”
Soil lysimeter chemistry data from various locations on Niwot Ridge and in the Green Lakes Valley 1994 - 2013.
Water was collected from soil lysimeters at key sites across Niwot Ridge and the Green Lakes Valley in the tundra and subalpine forest. Zero-tension soil lysimeters in the City of Boulder Watershed were deployed in the mid-1980’s. Additional zero-tension lysimeters were installed at Subnivean and Soddie sites in 1997. At c1 in 2010, 12 Tension lysimeters (Soil Moisture Equipment Corp Model 1900 Soil Water Sampler ) were installed at C1.SO, C1.ST and C1.SW sites, with four lysimeters at each site. In 2012, 15 additional zero tension lysimeters were installed in the City of Boulder Watershed at Gl5, Arikaree, and D1 locations (with 5 lysimeters at each site).
N and P addition experiment colonization data for Niwot Ridge from 2015 to 2019, yearly
In 2014 we established 20 experimental plots (25 x 25 cm) at four Snowbed Experiment sites (Arikaree, D1, Martinelli, and Soddie) in order to investigate the effect of nitrogen (N) and phosphorous (P) nutrient additions on plant colonization in snowbed areas with a recently diminishing persistence of summer snow cover. Plots were established in areas of persistent snow cover where there was only bare soil and no plants growing. Treatments included (1) control (no nutrient additions), (2) N addition, (3) P addition, and (4) N + P addition. At each site, plots were grouped into five blocks, with one of each of the four treatment plots present in each block (4 sites x 5 blocks x 4 treatments = 80 plots). Treatments were assigned randomly (without replacement) within blocks.
Topographic heterogeneity mediates patterns of vegetation response to climate change across a mountain landscape, Niwot Ridge, Colorado, 1972-2008
The distributions of biomes worldwide are predicted to shift as vegetation tracks climate change. Ecologists often use coarse-scale climate models to predict these shifts along broad elevational and latitudinal gradients, but these assessments could fail to capture important dynamics by ignoring fine-scale heterogeneity. We ask how the elevational ranges of vegetation types have changed in a mountainous landscape, and investigate the influence of fine-scale topographic, snowpack, and soil properties on vegetation change. We manually classified vegetation from high-resolution repeat aerial photographs from 1972 and 2008 at Niwot Ridge, Colorado, USA, and generally found that trees and shrubs colonized tundra, while tundra colonized barren soils. Only shrubs expanded their elevational range. Several fine-scale topographic, soil and snow characteristics, including elevation, slope, solar radiation, soil bulk density, and interannual snowpack variability, modulated where plant establishment occurred. Each vegetation type had a unique suite of variables best predicting its establishment in new areas. We suggest that fine-scale heterogeneity may strongly control how plants in mountainous regions respond to climate change, and different vegetation types may be sensitive to different aspects of this heterogeneity. An improved understanding of the factors controlling vegetation change gives us a broader understanding of ecosystem response to climate change, nitrogen deposition, and release from grazing.
Permanent forest plot data from 1982-2019 at Niwot Ridge, Colorado
The permanent forest plots at Niwot Ridge were installed in subalpine forests in the Colorado Front Range by Dr. Thomas T. Veblen in the early 1980s. The goal was to establish a set of long-term forest plots to monitor tree populations and stand dynamics over time. Ten large permanent plots (i.e., from 21 x 54m to 54 m x 54 m) were installed to monitor ~ 400 trees per plot. An additional thirty smaller ‘gap’ plots (i.e. approximately 10 m x 10 m) were installed in canopy openings adjacent to three of the large permanent plots to monitor gap dynamics (c. 40 trees per plot). Three new plots (42x42 m) were installed in 2016 (MRS11,13) or 2017 (MRS12) following the protocol for the large permanent plots. The plots are located across gradients in elevation and site moisture conditions. Plots include the following subalpine tree species: lodgepole pine (“Pinus contorta”), limber pine (“Pinus flexilis”), Engelmann spruce (“Picea engelmannii”), subalpine fir (“Abies lasiocarpa”), and aspen (“Populus tremuloides”). When the plots were installed, all living and standing dead trees were permanently tagged, and the following was measured for all live and dead trees less than 4 cm dbh: species, diameter at breast height (1.4 m), height class, and status (live or dead). Censuses of tree mortality were conducted roughly every three years, except the period 1994-2007, and a complete re-measurement (e.g. dbh measurements) was conducted in 2016 (see methods for details) and a status check (live/dead) was conducted in 2019. Counts of juvenile trees (less than 4 cm dbh) by species were conducted when the plots were installed and in 2017. This database includes three datasets: 1) description of plots (e.g. elevation, aspect, size), 2) tree data (e.g. dbh, height class, status) for all trees (greater than 4 cm dbh) monitored from early 1980s to 2019, and 3) counts of juvenile trees (less than 4 cm) by species in early 1980s and 2017.
Physiological stress of American pika (Ochotona princeps) and associated habitat characteristics for Niwot Ridge, 2018 - 2019
Temporal variation in a metric of stress might signify changes in an organism’s internal or external environment, but spatial variation in stress response could also signify spatial variation in habitat quality. Any stress response to habitat quality can be complicated or modulated, however, by strategies like escape in space (e.g., animal movements) or time (e.g., seed banks) that allow access to different conditions. Spatial and temporal variation in response to potential stressors has received little study in wild animals, especially at scales appropriate for relating stress to specific habitat characteristics. Here, we use the American pika (Ochotona princeps), a highly territorial small mammal, to investigate stress response within and among territories. For individually territorial animals such as pika, differences in habitat quality should lead to differences in the levels of stress exhibited by territory owners. In this study, we indexed stress by measuring stress hormone metabolites in feces collected non-invasively from pika territories. Feces were collected from 20 territories every two weeks from June to September of 2018 (pika_fecal_glut.aw.data.csv). In 2019, habitat metrics were recorded at each territory (pika_fecal_glut_habitat.aw.data.csv).
25cm NDVI data from UAV campaign at Niwot Ridge Saddle Catchment, 2017
Data collected as part of unmanned aerial vehicle (UAV)/drone campaign during Summer 2017. Investigating snow depth variability and spatiotemporal variations and controls on vegetation productivity within the Niwot Ridge LTER Saddle Catchment.
Geodetic snow depth from UAV campaign at Niwot Ridge, 2017
Geodetic snow depth for of Niwot Ridge from UAV campaign in June 2017. Data collected as part of unmanned aerial vehicle (UAV)/drone campaign during Summer 2017, investigating snow depth variability and spatiotemporal variations and controls on vegetation productivity within the Niwot Ridge LTER Saddle
Soil nitrous oxide and methane data for South slope of Niwot Ridge, 1992.
To determine the effect of increased nitrogen availability on fluxes of N2O and CH4 from alpine soils, we measured fluxes of these gases from fertilized and unfertilized soils in two alpine plant communities differing in net primary productivity, soil organic matter quality, and moisture. Five fertilized and 5 unfertilized plots within each community type were sampled. In the dry meadow community, the addition of nitrogen resulted in a 22-fold increase in N2O emission, while in the wet meadow, we observed a 45-fold increase in N2O emission rates. Methane uptake in the dry meadow community was reduced 52% by fertilization. However, net CH4 production occurred in all of the wet meadow plots and emission rates were not significantly affected by fertilization. Net nitrification rates were higher in dry meadow fertilized plots than in non-fertilized plots throughout the growing season. Net mineralization rates in fertilized dry meadow plots were higher than those in non-fertilized plots during the latter half of the growing season. Carbon to nitrogen ratios and amounts of total soil organic nitrogen in both the wet and dry meadow were not significantly affected by fertilization.
5cm multispectral imagery from UAV campaign at Niwot Ridge, 2017
Data collected as part of unmanned aerial vehicle (UAV)/drone campaign during Summer 2017. Investigating snow depth variability and spatiotemporal variations and controls on vegetation productivity within the Niwot Ridge LTER Saddle Catchment.
Time domain reflectometry soil moisture data for Niwot Ridge, 1992 - 2002.
Soil moisture was estimated at several locations on Niwot Ridge using a portable PC in conjunction with time-domain reflectometry (TDR) technology. The system used consisted of a Tektronics 1502B reflectometer, a Tektronics SP232 interface module, a Compaq LTE/232 PC, coaxial cable, and a probe that was left semi-permanently in the soil. The reflectometer generated an electrical step voltage pulse which was propagated down the cable to the probe. The reflected voltage waveform was measured, stored, and displayed by the reflectometer and the Tektronics SP232 interface module. The waveform is represented as a 2-dimensional data array, with the x-axis representing time (which is converted to distance using the dielectric constant of the cable) and the y-axis representing voltage for the given time: in this system this value is represented in millirho units (Tektronics 1991). The length of the waveform is determined by measuring the difference between the soil air interface (SAI) and the end of the voltage step reflection (RE). The SAI value is equivalent to the apex of the first peak in the wave and the RE value is equivalent to the intersection of tangents "drawn" at (a) the bottom of the wave and (b) the point of the steepest rise (see Taylor and Seastedt 1992). The waveform length is then used to estimate the volumetric and gravimetric moisture of the surrounding soil.
Snow pit chemistry data for Niwot Ridge and Green Lakes Valley, 1993 - 2000.
Snow pits were excavated at various locations on Niwot Ridge and within the Green Lakes Valley. Temperature and snow density were measured at various depths throughout the snow cover profiles in order to characterize the temperature and snow water equivalent (SWE) of the snowpack throughout the year. Snow density was measured at 10-cm intervals using a 1000-ml cutter. Data on snow grain qualities were collected beginning in the 1994-95 snow season. Snow samples were collected and analyzed for cations and anions at the Mountain Research Station's Kiowa Laboratory.
MFS-M-00303 Air temperature at +2 m, raised bog-ridge, Baro-Diver (DI 500)
<p>Air temperature at 2m measured in a raised bog ecosystem (ridge) by Baro-Diver (DI 500), 2006-2016 (with several breaks) as part of meteorological monitoring in Mukhrino Field Station (https://mukhrinostation.com/).</p>
MFS-M-00157 Snow precipitation measured manually (Tretyakov rain gauge), raised bog (ridge-hollow complex), 2010-present
<p>A raine gauge or Russian hydro-meteorological network standard (Tretyakov' construction) was installed as part of manual meteorological station in Mukhrino research polygon in 2010. The bucket installed at 2m height and protected by wind shield. Since 2014 only winter measurements were collected to supplement rain precipitation measurements measured in summer by automatic rain gauges (see also MFS-M-00154, MFS-M-00307, MFS-M-00308 for summer measurements in the same location).</p>
MFS-M-00308 Rain precipitation measured in raised bog (ridge-hollow complex), HOBO rain gauge RG3-M, 2017-present
<p>A raine gauge HOBO RG3-M was installed at the Mukhrino field station reseach polygon in the raised bog, treed bog community (ryam) in 2017, installation on the ground level (to prevent wind turbulence), measurement frequency - by event. This series is duplicated by MFS-M-00154 and MFS-M-00307 to cover variability and in case of breakdown. See also MFS-M-157 for winter (snow) precipitation at the same site measured manually.</p>
MFS-M-00154 Rain precipitation measured in raised bog (ridge-hollow compleх), HOBO rain gauge RG3-M, 2008-2019
<p>A raine gauge HOBO RG3-M was installed at the Mukhrino field station reseach polygon in the raised bog (ridge-hollow complex) in 2008, installation on the ground level (to prevent wind turbulence), measurement frequency - by event. This series was stopped by 2019 and replaced by another in close proximity (50 m), see MFS-M-00308 for precipitation after 2019.</p>
Repository: Irregular Polygonal Ridge Networks in Ancient Noachian Terrain on Mars
<p>This repository contains:</p> <ol> <li>Shapefiles of irregular polygonal ridge networks within mapping extent.</li> <li>MOLA elevation and slope data extracted over mapped ridge networks.</li> </ol>
Red dragon ridge tile
A splendidly detailed terracotta dragon roof ridge decoration from Truro, Cornwall, UK. On display in [Royal Cornwall Museum](https://www.royalcornwallmuseum.org.uk) (TRURI : 2004.44). This was originally on the roof of the appropriately named Red Dragon Hotel in the city. Scanned through a glass case with @Polycam - retopologized with texture fixes in Blender. Source: Objaverse 1.0 / Sketchfab
Virus-host diversity and interactions in the Juan de Fuca Ridge flank deep biosphere
<p>Fasta files from sequenced Single Amplified Virus Genomes originated from hydrothermal fluids collected from the IODP Hole<br /> U1362B CORK observatory in 2011during cruise AT18-07 on the RV Atlantis with ROV Jason (chief scientist A. Fisher; cruise report available online on the C-DEBI website: http://www.darkenergybiosphere.org/research/juandefuca.html).</p>
FIGURE 2. Sinobatis kotlyari n in A new deepwater legskate, Sinobatis kotlyari n. sp. (Rajiformes, Anacanthobatidae) from the southeastern Indian Ocean on Broken Ridge
FIGURE 2. Sinobatis kotlyari n. sp., holotype male 331 mm TL, ZMMU P- 17178, in total dorsal view.
Figure 2. - ATruncatoflabellumphoenix, paratypes, USNM 82010, Kermadec Ridge B Truncatoflabellumgippslandicum: upper lateral and edge views, NMV P133990; lower lateral and calicular views, syntype, NMV P27064, Miocene of Gippsland lake region of Victoria C Truncatoflabellumvictoriae, USNM 67962, Muddy Creek, Victoria (Balcombian = Middle Miocene) D Truncatoflabellumdens, USNM 98889, MUSORSTOM 7-569, Vanuatu. Scale bars: 2 mm (A); 10 mm (B); 5 mm (C–D).
Figure 2. - ATruncatoflabellumphoenix, paratypes, USNM 82010, Kermadec Ridge B Truncatoflabellumgippslandicum: upper lateral and edge views, NMV P133990; lower lateral and calicular views, syntype, NMV P27064, Miocene of Gippsland lake region of Victoria C Truncatoflabellumvictoriae, USNM 67962, Muddy Creek, Victoria (Balcombian = Middle Miocene) D Truncatoflabellumdens, USNM 98889, MUSORSTOM 7-569, Vanuatu. Scale bars: 2 mm (A); 10 mm (B); 5 mm (C–D).
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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.