<p>This includes teaching data subsets that contains spatio-temporal data for the National Ecological Observatory Network's Harvard Forest and San Joaquin Experimental Range (SJER) field sites.</p><p>The tutorials using these data subset can be found on the <a href="www.neondataskills.org"> NEON Data Skills portal </a>. </p><p>CONTENTS:</p><p>NEON-DS-Met-Time-Series.zip: Precipitation, temperature and other variables collected from a flux tower at the NEON Harvard Forest site. NOTE: these data are not collected from the NEON tower.</p><p>NEON-DS-Site-Layout-Files.zip: A set of shapefiles for the NEON's Harvard Forest field site and US and (some) state boundary layers.</p><p>NEON-DS-Landsat-NDVI.zip: 2011 NDVI data product provided by USGS c...
Abstract The NeonTreeCrowns dataset is a set of individual level crown estimates for 100 million tr...
NEON plot-level derived tables used in this study. All the derived data were openly available from T...
It is a critical time to reflect on the National Ecological Observatory Network (NEON) science to da...
<p>This is a beta teaching dataset that contains spatio-temporal data for the Harvard Forest and SJE...
This NEON teaching data subset contains data for the San Joachium field site located in southern Cal...
Teaching data subsets for the NEON Lower Teakettle (TEAK), San Joaquin Experimental Range (SJER), an...
This teaching data set contains a sample of NEON plant phenology and single-aspirated air temperatur...
This project, "Characterizing Vegetation Using NEON Remote Sensing Data" was completed in 2020 by st...
Teaching data set with elevation data from NEON project field sites in Domain 07. <div><br></div><di...
This dataset is the large training data files for the NeonTreeEvaluation Benchmark for individual tr...
This teaching data subset contains<br><br>1. a subset of spatial data (gis layers for the Californi...
We combined climate variables with field measurements and airborne lidar from all forest and woodlan...
This research investigated land surface phenology trends across the conterminous United States (1982...
This dataset is the data files for the NeonTreeEvaluation Benchmark for individual tree detection fr...
Accurately mapping tree species composition and diversity is a critical step towards spatially expli...
Abstract The NeonTreeCrowns dataset is a set of individual level crown estimates for 100 million tr...
NEON plot-level derived tables used in this study. All the derived data were openly available from T...
It is a critical time to reflect on the National Ecological Observatory Network (NEON) science to da...
<p>This is a beta teaching dataset that contains spatio-temporal data for the Harvard Forest and SJE...
This NEON teaching data subset contains data for the San Joachium field site located in southern Cal...
Teaching data subsets for the NEON Lower Teakettle (TEAK), San Joaquin Experimental Range (SJER), an...
This teaching data set contains a sample of NEON plant phenology and single-aspirated air temperatur...
This project, "Characterizing Vegetation Using NEON Remote Sensing Data" was completed in 2020 by st...
Teaching data set with elevation data from NEON project field sites in Domain 07. <div><br></div><di...
This dataset is the large training data files for the NeonTreeEvaluation Benchmark for individual tr...
This teaching data subset contains<br><br>1. a subset of spatial data (gis layers for the Californi...
We combined climate variables with field measurements and airborne lidar from all forest and woodlan...
This research investigated land surface phenology trends across the conterminous United States (1982...
This dataset is the data files for the NeonTreeEvaluation Benchmark for individual tree detection fr...
Accurately mapping tree species composition and diversity is a critical step towards spatially expli...
Abstract The NeonTreeCrowns dataset is a set of individual level crown estimates for 100 million tr...
NEON plot-level derived tables used in this study. All the derived data were openly available from T...
It is a critical time to reflect on the National Ecological Observatory Network (NEON) science to da...