KansasView also developed an AGOL web mapping application to provide users the ability to explore and visualize the National Science Foundation’s National Earth Observation Network (NEON) Airborne Observation Platform (AOP) remote sensing data collected at the KU Field Station (KUFS) along with Sentinel2, Landsat 8, and aerial image services (mid right). KansasView previously supported processing of tiled NEON AOP data to create data mosaics that were then made available through the online tool.

Presentation given at the 2016 data institute.

This data includes the data used to make Figures 1 and 2 in the manuscript.

For Figure 1, we downloaded the titles from publications listed on the NEON publication website (https://www.neonscience.org/impact/papers-publications). Then, we imported the .csv (NEON_Word_Cloud_Data.csv) with the publication titles to the wordart.com software program which created the word cloud from this text. Settings such as word choice, spacing, font, and color were chosen manually. Only the most frequently appearing words (top ~⅓ of the list) were included in the figure. In addition to connecting words such as “and”, words part of NEON’s title (“National”, “Ecological”, “Observatory”, “Network”) were excluded from the final figure.

For Figure 2, we obtained the perimeter data (Chimney_Tops_2_fire.shp) for the Chimney Tops 2 fire from MTBS perimeter data (https://www.mtbs.gov/direct-download). We downloaded the NEON AOP flight boundary for the Great Smoky Mountains NEON site (GRSM_NEON_AOP....

The manuscript and accompanying talk for the International Congress on Environmental Modeling and Software on building informatics infrastructure to support the integration of models and data. Please cite as: "Hart, E.M., Fox, A., Berukoff, S., Hoar, T., 2014 Integrating NEON data with existing models: An example with the Community Land Model In: Ames, D.P., Quinn, N.W.T., Rizzoli, A.E. (Eds.), Proceedings of the 7th International Congress on Environmental Modelling and Software, June 15-19, San Diego, California, USA. http://www.iemss.org/society/index.php/iemss-2014-proceedings"

Small mammals are important to the functioning of ecological communities with changes to their abundances used to track impacts of environmental change. While capture-recapture estimates of absolute abundance are preferred, indices of abundance continue to be used in cases of limited sampling, rare species with little data, or unmarked individuals. Improvement to indices can be achieved by calibrating them to absolute abundance but their reliability across years, sites, or species is unclear. To evaluate this, we used the US National Ecological Observatory Network (NEON) capture-recapture data for 63 small mammal species over 46 sites from 2013–2019. We generated 17,155 absolute abundance estimates using capture-recapture analyses and compared these to two standard abundance indices, and three types of calibrated indices. We found that neither raw abundance indices nor index calibrations were reliable approximations of absolute abundance, with raw indices less correlated with absolute a...

Presentation made by Wendy Gram et al. as part of the "Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps” Session at the Ecological Society of America annual meeting, August 8th, 2017, Portland Oregon

Please see the Readme.txt for details about the data used for measuring Diversity - Volume Relationships in five different organism groups across the NEON USA macrosystem by LaRue, Elizabeth; Downing, Anna; Saucedo, Sheila; Rocha, Arturo; Vargas Zesati, Sergio; Mata-Silva, Vicente; Harvey, Michael.

Teaching data subsets for the NEON Lower Teakettle (TEAK), San Joaquin Experimental Range (SJER), and Soaproot Saddle (SOAP) field sites in California (Domain 17). These data sets are used with the NEON Data Institute 2016.This teaching data subset is used for several tutorials on the NEON website (neonscience.org). The dataset is for educational purposes, data for research purposes can be obtained from the NEON Data Portal (data.neonscience.org).

Presentations that accompany materials presented at the NEON Data Institute 2017: Remote Sensing with Reproducible Research.Full Data Institute materials: http://neondataskills.org/workshop-event/NEON-Data-Insitute-2017More information on the National Ecological Observatory Network: http://www.neonscience.org

Height of the top of canopy above bare earth (Canopy Height Model (CHM)); data are mosaicked over AOP footprint; mosaicked onto a spatially uniform grid at 1 m spatial resolution in 1 km by 1 km tiles. Data are provided in geotiff format.

This collections contains a remote sensing data subset for NEON field sites in Domain 01 & 03 (Florida, Georgia, Massachusetts). This data supports teaching materials for the 2016 Data Institute. More information can be found here: http://neondataskills.org/workshop-event/NEON-Work-With-Data-Insitute-2016

This ePoster presents the Faculty Mentoring Network model as a way to support faculty creation and implementation of data-centric classroom teaching activities. It focuses on the NEON Data Education FMN.

This dataset contains an inventory for the paper entitled "ecocomDP: A flexible data design pattern for ecological community survey data" (O'Brien et al), submitted to Ecological Informatics. The paper describes an approach for harmonizing and reformatting community survey data such as organism abundance or cover measurements. Data currently using this data model and workflow approach are from the repository of the Environmental Data Initiative (EDI), the Long Term Ecological Research (LTER) Network, and the National Ecological Observatory Network (NEON). Data were assembled for this analysis in late 2020. The inventory is composed of two tables, describing data from EDI (including LTER) and data from NEON. The EDI inventory includes information for 70 datasets: identifiers for both the original and converted datasets, and basic coverage information such as temporal coverage (range of years and a measurement of sampling evenness), spatial coverage (maximum bounding coordinates and area of the "bounding box"), and taxonomic coverage (taxonomic classes). The NEON inventory contains information from 11 continent-wide NEON data products, divided into individual field sites to be more spatially compatible with EDI and LTER data. Taxonomic coverage is by group (e.g., algae, birds) rather than explicit taxonomic classes. Spatial coverage is the area of a field sampling site polygon. Temporal coverage includes the same minimum and maximum sampling years and temporal evenness measures as for the EDI data plus a count of months during that period when sampling occurred. At the time of data download, NEON data was considered provisional, however identifiers are persistent and now deliver final, "released" data. Also included in the data package is a script to reformat inventory data and create Figure 3 of the paper.

This shapefile displays the watershed boundaries for NEON's aquatic wadeable and non-wadeable stream and lake sites. The watershed boundary defines the perimeter of drainage areas formed by the terrain and other landscape characteristics. The pour point was selected nearest the downstream most sensor set, primarily NEON’s S2 sensor in wadeable streams, S1 or stream gauge in non-wadeable rivers, and the outlet sensor in lakes. For most of the sites NEON's 1 meter Elevation-LiDAR Digital Terrain Model (DTM) was used to derive the watersheds. In cases where NEON data did not provide complete watershed coverage, a 1/3 arc-second (10 meter) resolution Digital Elevation Model (DEM) raster, available from the U.S. Geological Survey (USGS) website, was utilized to provide full coverage of the watershed extent. A mosaic dataset was created to combine individual DTM or DEM tiles, and a local projection defined for the dataset. ArcGIS Pro software with the ArcHydro Tools [for] Pro were used to model and delineate the watershed. Attribute Table Information:DomainNum:NEON ecoclimatic domain number. DomainName: NEON ecoclimatic domain name.SiteName: NEON aquatic site name.SiteID: NEON four character site ID for the aquatic site.SiteType:Type of NEON site (e.g. core aquatic or relocatable aquatic).Science: Identifies the primary science theme as they relate to the NEON Grand Challenges (AD[01]) and if the aquatic site is a wadeable or non-wadeable stream, or lake.StateID: The 2 letter abbreviation for the state where the watershed is located.UTM_Zone: The local projected coordinate system for the aquatic site and model processing.WSAreaKm2: Watershed area in kilometers squared for watersheds derived from NEON’s 1 meter Elevation-LiDAR dataset.Source: States if the watershed was not derived from NEON data, these sites are supplemented with the 10 meter National Elevation Dataset.Area_NED: Watershed area in kilometers squared for sites where the watershed was derived from the 10 meter National Elevation Dataset.AOPLiDAR: Name of the Elevation-LiDAR DTM tile from the NEON data portal, includes site ID, year, and month the data was collected.AOP_Flight: Identifies the NEON AOP Flight Boundaries layer showing the extent and priority of airborne acquisition. AOPCoverag: Identifies percent coverage of the NEON AOP flight box over the aquatic watershed.TIS_Dist: Distance in kilometers from the aquatic site pour point to the corresponding terrestrial tower site.TIS_Bear: Bearing in degrees from the aquatic site pour point to the corresponding terrestrial tower site.TIS_WS: States if the corresponding terrestrial tower is within the aquatic watershed.HUC12Name: Name of the Hydrologic Unit Code with twelve digits based on the prominent water or physical feature(s) within the unit. Naming follows the conventions and rules outlined by the Geographic Names Information System (GNIS) order of priority and if the dominant feature is named in the HU10, the HU12 retains the twelve digit code as the name. HUC12: Hydrologic Unit Code with twelve digits based on the sixth-level (subwatershed) classification designated by the United States Geological Survey. NLCD_(number): Percentage of land cover classifications within the watershed from the National Land Cover Dataset (NLCD) (Table 2). NRCS_(Soil abbreviations): Percentage of soil classifications within the watershed from the Natural Resources Conservation Service (NRCS) (Table 3).

Data provided by the Integrating Data science with Trees and Remote Sensing (IDTReeS) research group for use in the IDTReeS Competition.

Geospatial and tabular data to be used in two data science tasks focused on using remote sensing data to quantify the locations, sizes and species identities of millions of trees and on determining how these methods generalize to other forests.

Vector data are the geographic extents of Individual Tree Crown boundaries that have been identified by researchers in the IDTReeS group. The data were generated primarily by Sarah Graves, Sergio Marconi, and Benjamin Weinstein, with support from Stephanie Bohlman, Ethan White, and members of the IDTReeS group.

Remote Sensing and Field data were generated by the National Ecological Observatory Network (NEON, Copyright © 2017 Battelle). Data were selected, downloaded, and packaged by Sergio Marconi. The most recent available data of the following products are provided:

National Ecological Observatory Network. 2020. Data Product DP1.30010.001, High-resolution orthorectified camera imagery. Provisional data downloaded from http://data.neonscience.org on March 4, 2020. Battelle, Boulder, CO, USA NEON. 2020.

National Ecological Observatory Network. 2020. Data Product DP1.30003.001, Discrete return LiDAR point cloud. Provisional data downloaded from http://data.neonscience.org on March 4, 2020. Battelle, Boulder, CO, USA NEON. 2020.

National Ecological Observatory Network. 2020. Data Product DP1.10098.001, Woody plant vegetation structure. Provisional data downloaded from http://data.neonscience.org on March 4, 2020. Battelle, Boulder, CO, USA NEON. 2020.

National Ecological Observatory Network. 2020. Data Product DP3.30015.001, Ecosystem structure. Provisional data downloaded from http://data.neonscience.org on March 4, 2020. Battelle, Boulder, CO, USA NEON. 2020.

NEON has the following data policy:

‘The National Ecological Observatory Network is a program sponsored by the National Science Foundation and operated under cooperative agreement by Battelle Memorial Institute. This material is based in part upon work supported by the National Science Foundation through the NEON Program.’

THE NEON DATA PRODUCTS ARE PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR ANYONE DISTRIBUTING THE NEON DATA PRODUCTS BE LIABLE FOR ANY DAMAGES OR OTHER LIABILITY, WHETHER IN CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE NEON DATA PRODUCTS.

Point counts of aquatic plants, bryophytes, lichens, and macroalgae from transects in wadeable streams

This data set includes data used for a Spectral Classification Tutorial written by Dr. Paul Gader (Univ. Florida) for the 2017 NEON Data Institute: Remote Sensing with Reproducible Workflows. This teaching data subset is used for several tutorials on the NEON website (neonscience.org). The dataset is for educational purposes, data for research purposes can be obtained from the NEON Data Portal (data.neonscience.org).

RGB and IR images of the plant canopy taken from an automated camera on the tower top. Images are collected every 15 minutes and closely follow protocols of the Phenocam Network.

NEON operates 81 field sites strategically located across 20 eco-climatic domains across the United States, including 47 terrestrial field sites and 34 freshwater aquatic field sites. When logistically possible, aquatic and terrestrial sites are colocated (i.e. in close proximity) to support understanding of linkages across terrestrial and aquatic ecosystems and their interactions with the atmosphere. Core sites The spatial design of the NEON program includes one core terrestrial and one core aquatic site in each of the 20 ecoclimate Domains (with the exception of D20, in Hawaii, which only has a core terrestrial site). These core sites were selected to represent wildlands or more pristine ecosystems with relatively limited human influence within each Domain. As such, many of these sites are in conservation areas or national parks. Gradient sites The gradient sites were selected to provide contrasts with the core sites and enable exploration of scientific questions of cause and effect specific to each Domain. A "gradient," in this case, is a range in a driving variable of ecological change that can be measured across a Domain, such as a gradient of nitrogen and dust deposition, permafrost, invasive species, precipitation, or land use. The gradient sites allow us to evaluate how these differences impact ecosystems within a Domain by comparison with the core wildland site.Aquatic instrument and observation systems are virtually identical between core sites and gradient sites. There are some differences in terrestrial instrumentation between sites (e.g., primary precipitation using a Double Fence Intercomparison Reference (DFIR), shortwave radiation, water vapor isotopes, and sun photometers), which are documented in each of the Data Product Page Descriptions on the NEON Data Portal. More site-specific details are included in the Sensor Position files associated with the data download expanded package. Some terrestrial observational sampling designs (e.g., mammal and mosquito sampling) differ between the core and gradient sites, which are documented within the associated data products' Science Designs and Protocols and Procedures, located on the data product landing pages of the NEON Data Portal.

This line shapefile shows the drainage system of the NEON aquatic watershed. For most of the sites, NEON's 1 meter Elevation-LiDAR Digital Terrain Model (DTM) was used to derive the watersheds. In cases where NEON data did not provide complete watershed coverage, a 1/3 arc-second (10 meter) resolution Digital Elevation Model (DEM) raster, available from the U.S. Geological Survey (USGS) website, was utilized to provide full coverage of the watershed extent. Attribute Table InformationDomainNum: NEON ecoclimatic domain number. SiteID: NEON four character site ID for the aquatic site.Source: States if the watershed was not derived from NEON data, these sites are supplemented with the 10 meter National Elevation Dataset.