Search Data.gov
Found 12 dataset(s) matching "cmr".
-
Summary This feature class documents the fire history on CMR from 1964 - present. This is 1 of 2 feature classes, a polygon and a point. This data has a variety of different origins which leads...
-
Data on county socioeconomic status for 2,132 US counties and each county’s average annual cardiovascular mortality rate (CMR) and total PM2.5 concentration for 21 years (1990-2010). County CMR,...
-
Polygons of areas sampled on CMR for riparian health assessment.
-
The OMPS-N20 L2 NM Aerosol Index swath orbital V2 for Near Real Time. For the standard product see the OMPS_N20_NMUVAI_L2 product in CMR .The aerosol index is derived from normalized radiances...
-
This study sought (1) to set up a system to evaluate the operations and effectiveness of The Other Way (TOW) residential substance abuse treatment program at the Clarinda Correctional...
-
The OMPS-N21 L2 NM Aerosol Index swath orbital V2 for Near Real Time. For the standard product see the OMPS_N21_NMUVAI_L2 product in CMR .The aerosol index is derived from normalized radiances...
-
We investigated population dynamics in chorus frogs (Pseudacris maculata) relative to extrinsic (air temperatures and snowpack) and intrinsic (density dependence) characteristics at 2 sites in...
-
The OMPS-NPP L2 NM Aerosol Index swath orbital V2 for Near Real Time. For the standard product see the OMPS_NPP_NMMIEAI_L2 product in CMR .The aerosol index is derived from normalized radiances...
-
This landcover raster was generated through a Random Forest predictive model developed in R using a combination of image-derived and ancillary variables, and field-derived training points grouped...
-
The following data is from the Lotic Wetland Health Assessment for Streams and Small Rivers (Survey) . It does not include data from any inventory form (lotic or lentic) or any other...
-
This landcover raster was generated through a Random Forest predictive model developed in R using a combination of image-derived and ancillary variables, and field-derived training points grouped...
-
This landcover raster was generated through a Random Forest predictive model developed in R using a combination of image-derived and ancillary variables, and field-derived training points grouped...
