The data provided is from a database known as Can-NEMO (California Non-native Estuarine and marine Organisms) database. The Cal-NEMO databaseincludes comprehensive and user-friendly information on established non-native invertebrates and algae in the marine and estuarine waters of California. A collaboration between Office of Spill Prevention and Response (OSPR) and the Smithsonian Environmental Research Center (SERC), Cal-NEMO is a portal of the National Estuarine and Marine Exotic Species Information System (NEMESIS).Cal-NEMO replaces CANOD, OSPR''s inventory of non-native species in California. Improvements include images and descriptions for identification, maps of global distributions, and information about species ecology and impacts. It is a long-term, dynamic database that we will continue to update as new species are discovered and new research becomes available.The data provided from Cal-NEMO to BIOS includes the introduced species name and location, date observed, and habitats observed.Cal-NEMOincludes species lists and other associated information for both non-native and native coastal aquatic species in California. New records are being added continually, and existing records are frequently updated and modified as new information becomes available. Cal-NEMOis an accumulation of literature review, data collected by other entities, and OSPR field surveys. OSPR began surveying in 2000 and continues to monitor for new introductions. Records before the year 2000 are from literature review and surveys by other entities.

These shapefiles display the watershed boundaries (area), drainage lines, and pour points for NEON Aquatic Field Sites. 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. The watershed boundary defines the perimeter of drainage areas formed by the terrain and other landscape characteristics. The pour point was selected from nearest the downstream most sensor set, primarily NEON’s S2 sensor in wadeable streams, and S1 sensor or water gauge in non-wadeable rivers, and the outlet sensor in lakes.Included in the attribute information are landcover percentages within the watershed boundary from the 2016 (CONUS and AK) and 2001 (PR) National Land Cover Database (NLCD), and soil classification percentages from the Soil Survey Geographic Database (SSURGO) and the State Soil Geographic Database (STATSGO). Some soil data were unclassified or were not available and, where applicable, are marked as "NoSoilData". A stand-alone csv of NLCD area is also included. Details of the Watershed Delineation for NEON Aquatic Sites can be found in NEON.DOC.005246.

Metagenomic sequence data from soil samples

Input data, evaluation data, and results from integrating National Ecological Observatory Network (NEON) measurements into single point simulations using the Community Terrestrial Systems Model (CTSM).

The input data atmosphere data (datm) includes NEON meteorological measurements that provide boundary conditions for CTSM simulations. The evaluation data (eval) includes NEON eddy covariance flux data measured at each tower site, which includes energy, water vapor, and CO2 fluxes that at are time regularized with quality assurance and control flags applied. Finally, CTSM model results (ctsm) include monthly and daily history files of select variables simulated by the model at each NEON site. Additional miscellaneous data products (misc) with site information is also provided.

These v2 data were created because we found errors in the values for latitude and longitude of NEON sites tower sites that were being used in CTSM simulations at the following four site: ONAQ, BLAN, ORNL, UNDE. These errors were corrected and sites rerun, with corrected data published here.

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Unclassified three-dimensional point cloud by flightline and classified point cloud by 1 km tile, provided in LAZ format. Classifications follow standard ASPRS definitions. All point coordinates are provided in meters. Horizontal coordinates are referenced in the appropriate UTM zone and the ITRF00 datum. Elevations are referenced to Geoid12A.

This mosaic of visible to shortwave infrared (VSWIR) data was derived from the assignable asset NEON AOP radiance data that was collected by LBNL’s Watershed Function SFA during the summer of 2018 (DOI: 10.15485/1617204). This atmospheric correction was completed to take into account site-specific terrain variability in the 334 km2 survey area centered around Crested Butte, CO. The atmospheric correction was completed using ACORN atmospheric correction software executed on 200 x 200 pixel kernels rather than line by line in order to capture local flight altitude conditions. Manual cloud delineation removed any small shaded areas that occurred within the data collection areas. Mosaics were developed based on preference for days that were in close timing proximity to the coincident ground campaign and with mosaicing criteria that minimized the angle between the sun and the sensor to retrieve the most consistent reflectance (min_phase_refl_tiled). Finally, we generated shade masks based on the geometry between the sun angle at time of flight, the ground surface, and the sensor. Here we provide the orthomosaiced estimated reflectance data (https://portal.nersc.gov/wfsfa/doi-10-15485-16181314/), canopy water content (wtrl), estimated atmospheric water vapor (wtrv), the observational data (obs) for this particular mosaic, the estimated visibility (vis), shade masks derived from the digital surface elevation model (shade) and the digital terrain model (shade_tch) added to the canopy height model (DOI: 10.15485/1617203), and a wavelength metadata file. Each image file is provided as a GeoTiff with internal tiling and LZW compression. These data can also be found on Google Earth Engine for extraction, download, and analysis of smaller extents: DSM Shade: https://code.earthengine.google.com/?asset=users/pgbrodrick/SFA/collections/shade_priority. DTM + CHM Shade: https://code.earthengine.google.com/?asset=users/pgbrodrick/SFA/collections/shade_tch_priority. Custom Reflectance: https://code.earthengine.google.com/?asset=users/pgbrodrick/SFA/collections/ciacorn_priority OBS data: https://code.earthengine.google.com/?asset=users/pgbrodrick/SFA/collections/obs_priority Water vapor estimates: https://code.earthengine.google.com/?asset=users/pgbrodrick/SFA/collections/wtrv_priority Canopy water content: https://code.earthengine.google.com/?asset=users/pgbrodrick/SFA/collections/wtrl_priority All data visualization: https://code.earthengine.google.com/5c96bbc96ffd50e3c8b1433b34a0bb86

Preferential flow in soil important in supporting water and nutrients transportations. We derivate a preferential flow database using multi-depth soil moisture and precipitation measurements in NEON sites. The database contains water flow velocity for each precipitation event for any given sensor, site characteristics, soil characteristics at each sensor depth etc.

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.The tutorials using these data subset can be found on the NEON Data Skills portal . CONTENTS: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.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.NEON-DS-Landsat-NDVI.zip: 2011 NDVI data product provided by USGS cropped to NEON's Harvard Forest and San Joaquin Experimental Range field sites.NEON-DS-Airborne-RemoteSensing.zip: LiDAR data including a canopy height model, digital elevation model and digital surface model for NEON's Harvard Forest and San Joaquin Experimental Range field sites.

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.

The waveform Light Detection and Ranging (LiDAR) data in this package were generated through a National Ecological Observatory Network Airborne Observation Platform (NEON AOP) acquisition over watersheds of interest surrounding Crested Butte, Colorado. The remote sensing imagery acquired by the NEON AOP supports an interdisciplinary project on hydrology, biogeochemistry, and ecosystem functioning in a snow-dominated headwater environment. These waveform LiDAR data enable spatially continuous estimation of vegetation structure parameters to facilitate analyses of the major environmental drivers of structural and compositional variability. The package contains 97 compressed file archives in 7-zip (.7z) format, each corresponding to one acquisition flightpath. Within each .7z archive is a set of constituent files describing properties of the LiDAR waveforms, such as return intensity, geolocation, outgoing pulse and other behavior of the sensor and signals. Once downloaded, the files must first be unzipped using the widely distributed command-line software utility 7z, using the command '7z x [filename].7z [target_directory]'. All files within the .7z archives can be opened in IDL, MatLab, or the open-source R statistical computing environment. Further details about the data package are in the attached user guide (neon_aop_crbu_waveformlidar_userguide.pdf).

This collection contains air-dried soil samples collected during periodic soil sampling at NEON terrestrial sites (NEON sample class: sls_bgcSubsampling_in.bgcArchiveID). Soil biogeochemical samples are collected once every 5 years, with three unique sampling locations per plot and ten plots per site. Soil sampling is conducted to a maximum depth of 30 ± 1 cm where possible. When organic (O) and mineral (M) horizons are present within a single profile they are separated prior to analysis and archiving. However, other sub-horizons are not separated. Soil from the O horizon is homogenized and non-soil material is removed by hand (no sieving), whereas soil from the M horizon is homogenized and sieved to 2 mm. Prior to archiving, all soil samples are air-dried, then placed into glass jars and stored at room temperature. See links below for NEON data products that provide various physical, chemical, and biological measurements (pH, moisture, carbon and nitrogen content and stable isotopes, inorganic nitrogen pools and net transformation rates, microbial community composition and biomass) for these same soils. In addition, a more detailed characterization of the dominant soil types at each site, including taxonomy, texture, bulk density, and geochemical properties, occurred during the construction period of NEON through two projects. These data are available in NEON data products Soil physical and chemical properties, distributed initial characterization (DP1.10047.001) and Soil physical and chemical properties, Megapit (DP1.00096.001).

The National Ecological Observatory Network (NEON) provides open access data products including sub-daily precipitation amounts and biweekly stable water isotope concentrations at sites across the United States. Stable water isotope (d2H, d18O) concentrations are often used in hydrometeorological studies and models, however the relatively infrequent biweekly sampling intervals complicate their applicability due to many applications requiring daily to sub-daily datasets. Here, we present statistically downscaled daily stable isotope concentration datasets based on bi-weekly data from NEON field sites. Precipitation isotope concentration is downscaled by first quantifying and removing the seasonal component from the time series. Daily time series statistics were approximated at each site and then used to generate isotope values conditioned on daily precipitation amounts. Finally, the seasonal component was added back into each time series to generate daily precipitation isotope concentrations and a residual correction was applied to ensure mass closure. This workflow was automated in a published Jupyter Notebook using Python and R scripts. The final time series contain synthetic daily values for each isotope which can then be incorporated as environmental tracers in hydrometeorological applications.

The points in this file have been remotely and field validated by NEON specialists and have been determined to meet NEON criteria. To download published data collected as these locations visit https://data.neonscience.org/home.The sampling locations were created by stratifying vegetation types from the National Land Cover Database (NLCD). Points were distributed in each vegetation type using a spatially balanced system implemented in GIS called the Reversed Randomized Quadrant Recursive Raster (RRQRR) technique. Subsequently, the points went through a remote sensing and ground-truth procedures to validate the vegetation type and NEON criteria. For more information please contact the Permitting Department at NEON, contact information is available at www.neonscience.org. This layer is current as of July 2, 2024.

This collection contains subsamples of Carabid adults from pitfall sampling from a single trap (NEON sample class: bet_sorting_in.subsampleID.bet). Ground beetles are sampled using pitfall traps (16 oz deli containers filled with 150 or 250 mL of propylene glycol). Four (pre-2018) or 3 (2018 and beyond) traps are deployed in each of 10 (pre-2023) or 6 (2023 and beyond) plots at each terrestrial NEON site, with traps arrayed approximately 20 meters from the center of the plot. Sampling occurs biweekly throughout the growing season (when temperatures are above 4 degrees C). Following trap collection, all beetles from the family Carabidae are sorted by NEON technicians and identified to species or morphospecies. A subset of collected Carabidae are pointed or pinned, while other specimens (non-pinned/non-pointed carabids, invertebrate bycatch, and vertebrate bycatch) are stored in 95% ethanol for archiving. Regardless of storage method, all collections data are reported at a per trap resolution. A subset of pinned ground beetles (up to 467 per site per year) are sent to an expert taxonomist for secondary identification. Identifications performed on these individuals may be used to estimate uncertainty in parataxonomist identification by NEON technicians. See related links below for protocols and NEON related data products.

Comprehensive dataset of 59 Neon sign shops in New Jersey, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

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Organismal data include the following taxonomic groups: small mammals, fish, ground beetles, and aquatic macroinvertebrates. Data were retrieved from the National Ecological Observatory Network (NEON) database in November 2020. We submit both raw data retrieved from NEON as .rds files, R code used to process these data, as well as processed data as .csv files.

This module series covers how to import, manipulate, format and plot time series data stored in .csv format in R. Originally designed to teach researchers to use NEON plant phenology and air temperature data; has been used in undergraduate classrooms.

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