Find research datasets worth reusing

openCC (other)May 2024View details →

Tree ring data from the Niwot Ridge subalpine zone, 2017 - 2018.

Tree cores were collected across a range of diverse stand types and topographic positions in 2017 and 2018 to examine changes in tree growth as a response to changing climate in the subalpine forest of the Colorado Front Range, USA. Tree cores were collected for all present species in the subalpine zones; Engelmann spruce (Picea engelmannii), subalpine fir (Abies lasiocarpa), lodgepole pine (Pinus contorta) and limber pine (Pinus flexilis). We extracted core from ~180 trees from 3 large permanent plots across a range of species and sizes classes within each plot. The cores were then processed using WinDENDRO software. This dataset includes field data taken on each tree from which a core was extracted, the original WinDENDRO files for each coree.g. bark thickness, height, etc.), 2) MRS4 .txt fil output from WinDENDRO, 3) MRS5 .txt fil output from WinDENDRO, 4) MRS7.txt fil output from WinDENDRO, The WinDENDRO, outputs will be used to reconstruct a time series of radial growth for each tree in each plot to examine whether the topoclimatic position affects tree growth (by species and stand types) and whether tree growth has changed with warming temperatures.

openCC (other)Feb 2019View details →

25-meter elevation lattice grid, Niwot Ridge LTER Project Area, Colorado

25-meter lattice made from the Niwot Ridge LTER TIN model (ltertin). This dataset was made to support hierarchical GIS databases at the Niwot Ridge LTER. Additional information concerning the Niwot Ridge LTER hierarchical GIS can be found in Walker et al. (1993).

3.23-meter elevation lattice grid, Martinelli Snowfield, Niwot Ridge LTER, Colorado

Martinelli snow field lattice. This dataset is part of the Martinelli grid geographic information system (GIS). Additional information concerning the Niwot Ridge LTER hierarchical GIS can be found in Walker et al. (1993).

1-meter elevation lattice grid, Martinelli Snowfield, Niwot Ridge LTER, Colorado

Resampled version of Martinelli snow field lattice grid (martlat) with finer resolution. This dataset is part of the Martinelli grid geographic information system (GIS). Additional information concerning the Niwot Ridge LTER hierarchical GIS can be found in Walker et al. (1993).

5-meter elevation contours, Martinelli Snowfield, Niwot Ridge LTER, Colorado

Martinelli snow field contour lines. This dataset is part of the Martinelli grid geographic information system (GIS). Additional information concerning the Niwot Ridge LTER hierarchical GIS can be found in Walker et al. (1993).

openCC (other)May 2024View details →

Annual snow survey, Green Lakes Valley, Niwot Ridge, Colorado, 2013 - ongoing.

Yearly snow surveys were conducted in the Green Lakes Valley in the City of Boulder Watershed at the estimated peak of snowpack in late spring. Over a period of several days, surveying teams (1 to several people) traversed valley slopes measuring snow depth with avalanche probes. Locations of each depth measurement were recorded as waypoints in Garmin hand-held GPS units. Snow depths were recorded on standardized field sheets along with dates, recorder names, waypoint numbers, and comments.

opencc-by-4.0Sep 2020View details →

Changing Brine Inputs into Hydrothermal Fluids: Southern Cleft Segment, Juan de Fuca Ridge

In 2016 temperature recorders were recovered, temperatures were measured, and fluid samples were collected from Vent 1, a high temperature (338°C) hydrothermal discharge site on the southern Cleft Segment of the Juan de Fuca Ridge. Coupled with previous sampling efforts, this collection represents a 32-year record of discharge from a single chimney structure, the longest record to date. Remarkably, the fluid has remained brine-dominated for more than three decades. This brine formed during phase separation and segregation prior to initial observations in 1984. Although the chloride concentration of the discharging fluid has decreased with time, the fluid temperature has remained nearly constant for at least 3.3 years and probably for 15 or even 22 years. Compositions of the discharging fluids are consistent with inputs from a deep-sourced brine, which was last equilibrated at >400° C at a depth consistent with the base of the sheeted dikes and the brittle-ductile transition. This brine mixed (diffusion or dispersion) with a likely non-phase-separated, hydrothermal fluid prior to discharge. A survey of hydrothermal endmember fluids with chlorinities in excess of 700 mmol/kg shows, with the exception of Fe, a single trend between major ion concentrations and chlorinity even though data are from a range of crustal compositions, spreading rates, and water and magma depths. Calculated deep-sourced brines from hydrothermal fluid data are similar to data based on fluid inclusions and estimates of brine assimilation in magmas. A better understanding of brines is required given their potential duration of discharge and capacity for mobilizing metals. The data in the attached 10 tables represent the supplemental data in a paper published in Geochemistry, Geophysics, Geosystems. The data include temperature data from long-term records, chemical data from hydrothermal effluent from Vent 1 on the Cleft Segment, sediment data, and sulfide chimney data.

opencc-by-4.0Jun 2022View details →

ICESat-2 Arctic Sea Ice Surface Topography from the University of Maryland-Ridge Detection Algorithm: April 2019, 2020, and 2021

This dataset is derived from the ICESat-2 (IS-2) Global Geolocated Photon Height Product (ATL03) using the University of Maryland-Ridge Detection Algorithm (UMD-RDA). The UMD-RDA is applied to ATL03 on a per-shot basis, nominally resulting in elevation measurements at IS-2's maximum along-track resolution of ~0.7 m. From these elevation measurements, the UMD-RDA can measure various sea ice parameters including, but not limited to, individual ridge crests and their respective sail heights, the distance between ridges, and sea ice surface roughness. ********Changes in Version 2******** Version 2 includes a column for time (seconds since 2018-01-01) in all parameter files in addition to longitude, latitude, and parameter value. The full resolution UMD-RDA derived elevation data was too large to host here, but is available upon request. If you need a particular track or segment for your research please contact me with your request by email: kduncan at umd dot edu

opencc-by-4.0Jul 2021View details →

Indicative distribution map for Ecosystem Functional Group M3.4 Seamounts, ridges and plateaus

This archive contains indicative distribution maps and profiles for M3.4 Seamounts, ridges and plateaus, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith et al. (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).

opencc-by-4.0Aug 2021View details →

Multi-year measurements of tree motion from an accelerometer on a spruce tree near Niwot Ridge, Colorado

This repository includes 12 Hz three-axis acceleration data from an accelerometer mounted to the bole of a Picea engelmannii (engelmann spruce) next to the C-1 Ameriflux tower at Niwot Ridge LTER, Colorado, USA. The data were recorded from November 2014 through August 2020. More information on the installation can be found in Raleigh et al. (in review, Water Resources Research). The data are stored in netCDF files, chunked based on the collection date when the data were downloaded from the accelerometer. File metadata: Filename GCDC_L01_Raw_Data_Niwot_TreeXX_collection_YYYYMMDD.nc where XX = tree number (01 = spruce, 02 = fir) YYYYMMDD = year (YYYY), month (MM), and day (DD) of data collection   Each netCDF includes four variables: 1. serial_date = time increment (fractional days), as defined by Matlab: "A serial date number represents the whole and fractional number of days from a fixed, preset date (January 0, 0000) in the proleptic ISO calendar." The serial dates are in mountain standard time (MST) with no adjustments for daylight savings. 2. Ax = acceleration in the vertical direction (counts) 3. Ay = acceleration in the east-west direction (counts) 4. Az =  acceleration in the north-south direction (counts) To convert the "counts" unit to gravitational units (g), divide Ax, Ay, and Az each by 2048, as explained in the manufacturer's user manual.

opencc-by-4.0Aug 2021View details →

Multi-year measurements of tree motion from an accelerometer on a fir tree near Niwot Ridge, Colorado

This repository includes 12 Hz three-axis acceleration data from an accelerometer mounted to the bole of an Abies lasiocarpa (subalpine fir) next to the C-1 Ameriflux tower at Niwot Ridge LTER, Colorado, USA. The data were recorded from November 2014 through August 2020. More information on the installation can be found in Raleigh et al. (in review, Water Resources Research). The data are stored in netCDF files, chunked based on the collection date when the data were downloaded from the accelerometer. File metadata: Filename GCDC_L01_Raw_Data_Niwot_TreeXX_collection_YYYYMMDD.nc where XX = tree number (01 = spruce, 02 = fir) YYYYMMDD = year (YYYY), month (MM), and day (DD) of data collection   Each netCDF includes four variables: 1. serial_date = time increment (fractional days), as defined by Matlab: "A serial date number represents the whole and fractional number of days from a fixed, preset date (January 0, 0000) in the proleptic ISO calendar." The serial dates are in mountain standard time (MST) with no adjustments for daylight savings. 2. Ax = acceleration in the vertical direction (counts) 3. Ay = acceleration in the east-west direction (counts) 4. Az =  acceleration in the north-south direction (counts) To convert the "counts" unit to gravitational units (g), divide Ax, Ay, and Az each by 2048, as explained in the manufacturer's user manual.

Eddy Flux Measurements, Ridge Station, Imnavait Creek, Alaska - 2007

In contribution to the Arctic Observing Network, the researchers have established two observatories of landscape-level carbon, water and energy balances at Imnavait Creek, Alaska and at Pleistocene Park near Cherskii, Russia. These will form part of a network of observatories with Abisko (Sweden), Zackenburg (Greenland) and a location in the Canadian High Arctic which will provide further data points as part of the International Polar Year. This particular part of the project focuses on simultaneous measurements of carbon, water and energy fluxes of the terrestrial landscape at hourly, daily, seasonal and multi-year time scales. These are the major regulatory drivers of the Arctic climate system and form key linkages and feedbacks between the land surface, the atmosphere and the oceans. We will provide a comprehensive description of the state of the regional Arctic system with respect to these variables, its overall regulation and controlling features and its interaction with the global system.In support of these objectives, a 3m eddy covariance station was established on a low ridge adjacent to Imnavait Creek, Alaska. This station has been continuously monitoring carbon dioxide, water vapor, energy fluxes and various micrometeorological variables.

Eddy Flux Measurements, Ridge Station, Imnavait Creek, Alaska - 2008

In contribution to the Arctic Observing Network, the researchers have established two observatories of landscape-level carbon, water and energy balances at Imnavait Creek, Alaska and at Pleistocene Park near Cherskii, Russia. These will form part of a network of observatories with Abisko (Sweden), Zackenburg (Greenland) and a location in the Canadian High Arctic which will provide further data points as part of the International Polar Year. This particular part of the project focuses on simultaneous measurements of carbon, water and energy fluxes of the terrestrial landscape at hourly, daily, seasonal and multi-year time scales. These are the major regulatory drivers of the Arctic climate system and form key linkages and feedbacks between the land surface, the atmosphere and the oceans. We will provide a comprehensive description of the state of the regional Arctic system with respect to these variables, its overall regulation and controlling features and its interaction with the global system. In support of these objectives, a 3m eddy covariance station was established on a low ridge adjacent to Imnavait Creek, Alaska. This station has been continuously monitoring carbon dioxide, water vapor, energy fluxes and various micro-meteorological variables.

Eddy Flux Measurements, Ridge Station, Imnavait Creek, Alaska - 2009

Eddy Flux Measurements, Ridge Station, Imnavait Creek, Alaska - 2010

openCC (other)Jan 2022View details →

Ground water well elevation for Niwot Ridge Saddle, 2012 - 2018.

Water level of Saddle Ground Water Wells. Ground Water Well locations, depths, and design were determined by Niwot Ridge LTER lead researchers, Mark Williams and Nel Caine, to monitor groundwater chemistry and water levels. Well locations were selected based on proximity to the headwater region of the Saddle stream channel. Ground Water Wells are located along an east-west transect at the Saddle site, each pair consisting of a deep well to a depth between 6.3 and 8.8 m, and a shallow well to a depth of 1.5 m. Ground surface elevations at the Saddle wells range from about 3522 m at the eastern wells to 3532 m at the western wells. The transect is roughly 170 m from east to west, has an average slope of 0.06, and is perpendicular to the Saddle stream. Saddle pair 3 was installed very close to the channel. Saddle pairs 2 and 4 were installed on opposite sides of the channel. Saddle pair 1 was installed furthest from the channel (King, 2012). Ground water wells were installed in October 2005 by Bandimere Geothermal Drilling Systems. Wells are cased with 2-inch nominal pipe size, Schedule 40 polyvinyl chloride (PVC), flush-threaded pipe. Well screens were constructed from 0.020-inch continuous slot PVC and installed in 5-ft (1.52 m) intervals. All of the wells have 1.52 m screens at the bottom of the well. The bottoms of the wells were capped with a PVC flush-threaded point cap. The annular space around each screen and pipe was backfilled with #10-20 silica sand to act as a filter (King, 2012). The Niwot Ridge LTER monitoring of these Ground Water Wells has varied over the years since the wells were installed. Prior to 2014, all wells were sampled weekly in summer and monthly in winter for chemistry, and alternating wells were monitored for water level with pressure transducers and a weighted tape measure. From 2015 through present, Saddle Deep 3 (SD3) and Saddle Deep 4 (SD4)- those located closest to the Saddle Stream headwaters- are being monitored for water level, wat

openCC (other)May 2022View details →

Surface temperature mapped from thermal infrared survey 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. Surface temperature of Niwot Ridge saddle was mapped from thermal infrared survey on June 21, July 11, 18, 25, and August 14, 2017.

openCC (other)Dec 2025View details →

Pond environmental and taxonomic data for Niwot Ridge and Green Lakes Valley, 2021 - ongoing.

This is a summary of basic environmental data and benthic macroinvertebrates from water in ponds in the vicinity of the Niwot Ridge LTER. Ponds were selected across a range of elevations, sizes, and positions relative to glacial, stream, and lake water sources. Ponds sampled occurred on Niwot Ridge and throughout the Green Lakes Valley.

openCC (other)Apr 2022View details →

Uncalibrated RGB orthomosaic imagery from UAV campaign at Niwot Ridge, 2017.

Uncalibrated RGB data were collected as part of unmanned aerial vehicle (UAV)/drone campaign during Summer 2017. The purpose of the project was to investigate snow depth variability and spatiotemporal variations and controls on vegetation productivity within the Niwot Ridge LTER Saddle Catchment.