521 results — topic: Snow & Ice

Dataset

Iron_Soil Moisture_Calibrated_2013 To 2018

*** An error has been caught in time codes. The time codes currently read GMT-5:00. The CORRECT time code is GMT-7:00 for all datasets .*** These data are the complete data set from installation through March 15, 2018 for AGCI's interactive Roaring Fork Observation Network (iRON). The network consis

Osenga, E.C.2018DOI: 10.5281/zenodo.1250551
Dataset

Iron_Soil Moisture_Calibrated_2013 To 2018

*** An error has been caught in time codes. The time codes currently read GMT-5:00. The CORRECT time code is GMT-7:00 for all datasets .*** These data are the complete data set from installation through March 15, 2018 for AGCI's interactive Roaring Fork Observation Network (iRON). The network consis

Osenga, E.C.2018DOI: 10.5281/zenodo.1267762
Dataset

Iron_Soil Moisture_Calibrated_2013 To 2018

*** An error has been caught in time codes. The time codes currently read GMT-5:00. The CORRECT time code is GMT-7:00 for all datasets .*** These data are the complete data set from installation through March 15, 2018 for AGCI's interactive Roaring Fork Observation Network (iRON). The network consis

Osenga, E.C.2018DOI: 10.5281/zenodo.1267846
Dataset

Iron_Soil Moisture_Calibrated_2013 To 2018

*** An error has been caught in time codes. The time codes currently read GMT-5:00. The CORRECT time code is GMT-7:00 for all datasets . Files with FullRecord in the name are in correct, UTC time codes *** These data are the complete data set from installation through March 15, 2018 for AGCI's inter

Osenga, E.C.2018DOI: 10.5281/zenodo.1271667
Dataset

Iron_Soil_Moisture_Uncalibrated_2013_2017

These data are the complete data set from installation through Dec 31, 2017 for AGCI's interactive Roaring Fork Observation Network (iRON). The network consists of 9 stations in the Southern Rockies (Colorado, USA). Descriptions of soil type and site locations can be found at: www.agci.org/iron/stat

Osenga, E2018DOI: 10.5281/zenodo.1267837
Dataset

Grand Mesa Study Plot

Cleaned (quality checked) and continuous hourly records of snow energy and mass balance variables from Grand Mesa Study Plot (GMSP). GMSP is located in an opening in a pine forest on the northern rim of the Grand Mesa (39.050802, -108.061435) in west central Colorado at 3239 m. The site was funded b

Skiles, S. McKenzie2018DOI: 10.5281/zenodo.1479859
Dataset

Grand Mesa Study Plot

Cleaned (quality checked) and continuous hourly records of snow energy and mass balance variables from Grand Mesa Study Plot (GMSP). GMSP is located in an opening in a pine forest on the northern rim of the Grand Mesa (39.050802, -108.061435) in west central Colorado at 3239 m. The site was funded b

Skiles, S. McKenzie2018DOI: 10.5281/zenodo.1479858
Dataset

DEFUNCT:_iRON_Soil Moisture_Calibrated_2013 to 2018

***An error has been caught in time codes. The time codes currently read GMT-5:00. The CORRECT time code is GMT-7:00 for all datasets. Files with FullRecord in the name are in correct, UTC time codes*** These data are the complete data set from installation through March 15, 2018 for AGCI's interact

Osenga, E.C.2018DOI: 10.5281/zenodo.1294071
Dataset

Data from: Transgenerational and within-generation plasticity in response to climate change: insights from a manipulative field experiment across an elevational gradient

Parental environmental effects, or transgenerational plasticity, can influence an individual’s phenotype or fitness, yet remain underexplored in the context of global change. Using the perennial self-pollinating plant Boechera stricta, we explored the effects of climate change on transgenerational a

Wadgymar, Susana M., Mactavish, Rachel M., Anderson, Jill T.2018DOI: 10.5061/dryad.nf45q26Cited 1 times
Dataset

ASO L4 Lidar Snow Depth 50m UTM Grid, Version 1

Painter, Thomas2018DOI: 10.5067/stot5i0u1wviCited 2 times
Dataset

ASO L4 Lidar Snow Water Equivalent 50m UTM Grid, Version 1

Painter, Thomas2018DOI: 10.5067/m4tuh28nhl4zCited 6 times
Dataset

Data from: Progressive sensitivity of trophic levels to warming underlies an elevational gradient in ant-aphid mutualism strength

Although species interactions are often proposed to be stronger at lower latitudes and elevations, few studies have evaluated the mechanisms driving such patterns. In this study, we assessed whether, and by which mechanisms, abiotic changes associated with elevation altered the outcome of an ant-aph

Nelson, Annika S., Pratt, Riley T., Pratt, Jessica D.2018DOI: 10.5061/dryad.kf2553jCited 1 times
Dataset

Data from: Interannual bumble bee abundance is driven by indirect climate effects on floral resource phenology.

This is an archive of the data used in the publication: Ogilvie JE, Griffin SR, Gezon ZJ, Inouye BD, Underwood N, Inouye DW, Irwin RE. 2017. Interannual bumble bee abundance is driven by indirect climate effects on floral resource phenology. Ecology Letters, doi: 10.1111/ele.12854 DATA DESCRIPTION B

Ogilvie, Jane E., Griffin, Sean R., Gezon, Zachariah J.2017DOI: 10.6084/m9.figshare.5400796
Dataset

Map data and Unmanned Aircraft System imagery from the May 25, 2014 West Salt Creek rock avalanche in western Colorado

On May 25, 2014, a rain-on-snow induced rock avalanche occurred in the West Salt Creek Valley on the northern flank of Grand Mesa in western Colorado. The avalanche traveled 4.6 km down the confined valley, killing 3 people. The avalanche was rare for the contiguous U.S. because of its large size (5

Coe, Jeffrey A., Baum, Rex L., Allstadt, Kate E.2016DOI: 10.5066/f74j0c55
Student Paper

The high life: a subalpine fir and Englemann spruce community in an avalanche zone

Oliva J. P., Ochs S.1997
Student Paper

A comparison of vegetational maturity and succession rates in an avalanche area

Whitney C. R.1996
Student Paper

Effects of avalanche intensity on <i>Populus tremuloides</i> density

Hoover L. P.1995
Student Paper

Avalanche intensity and the intermediate disturbance hypothesis

Geluardi M.1995
Article

Relationships between atmospheric circulation and snowpack in the Gunnison River basin, Colorado

McCabe Gregory J.1994Journal of HydrologyDOI: 10.1016/0022-1694(94)90103-1Cited 34 times