These datasets are not necessarily representative of the long-term standardized data otherwise available on the NEON data portal. Prototype data are provided as downloadable zip files.

Optimization of a gas sampling system for measuring eddy-covariance fluxes of H2O and CO2, 2013 Atmosphere
Enclosed infrared gas analysers utilize a gas sampling system, which can substantially increase spectral corrections for eddy-covariance applications. Here, we show that a requirements-based design can reduce high-frequency attenuation for H2O by ≈3/4, with the remaining flux correction not exceeding 3%. The resulting gas sampling system can be used across a wide range of eco-climates and site layouts, and enables more automated and comparable eddy-covariance data processing across sites.
Science theme:
Atmosphere  
Locations:
Niwot Ridge Mountain Research Station (D13; CO; NIWO)  
Time range:
2013-2013
Abstract:
Several initiatives are currently emerging to observe the exchange of energy and matter between the earth''s surface and atmosphere standardized over larger space and time domains. For example, the National Ecological Observatory Network (NEON) and the Integrated Carbon Observing System (ICOS) will provide the ability of unbiased ecological inference across eco-climatic zones and decades by deploying highly scalable and robust instruments and data processing. In the construction of these observatories, enclosed infrared gas analysers are widely employed for eddy-covariance applications. While these sensors represent a substantial improvement compared to their open- and closed-path predecessors, remaining high-frequency attenuation varies with site properties, and requires correction. Here, we show that the gas sampling system substantially contributes to high-frequency attenuation, which can be minimized by careful design. From laboratory tests we determine the frequency at which signal attenuation reaches 50 % for individual parts of the gas sampling system. For different models of rain caps and particulate filters, this frequency falls into ranges of 2.5–16.5 Hz for CO2, 2.4–14.3 Hz for H2O, and 8.3–21.8 Hz for CO2, 1.4–19.9 Hz for H2O, respectively. A short and thin stainless steel intake tube was found to not limit frequency response, with 50 % attenuation occurring at frequencies well above 10 Hz for both H2O and CO2. From field tests we found that heating the intake tube and particulate filter continuously with 4 W was effective, and reduced the occurrence of problematic relative humidity levels (RH > 60 %) by 50 % in the infrared gas analyser cell. No further improvement of H2O frequency response was found for heating in excess of 4 W. These laboratory and field tests were reconciled using resistor-capacitor theory, and NEON''s final gas sampling system was developed on this basis. The design consists of the stainless steel intake tube, a pleated mesh particulate filter, and a low-volume rain cap in combination with 4 W of heating and insulation. In comparison to the original design, this reduced the high-frequency attenuation for H2O by ≈ 3/4, and the remaining cospectral correction did not exceed 3 %, even at a very high relative humidity (95 %). This standardized design can be used across a wide range of eco-climates and site layouts, and maximizes practicability due to minimal flow resistance and maintenance needs. Furthermore, due to minimal high-frequency spectral loss, it supports the routine application of adaptive correction procedures, and enables more automated data processing across sites.
Methods:
A comprehensive field experiment under various environmental conditions was performed in July 2013 and July 2014 at the Niwot Ridge AmeriFlux site.
The test philosophy is that a GSS component has better performance where it results in less IRGA CO2 and/or H2O signal attenuation when used individually and when integrated with other GSS components. Initially nine different types of particulate filters were tested in the laboratory, and it was found that the Swagelok FW 2 μm stainless steel mesh filter (Swagelok, Solon, OH, U.S.A.) provided the most suitable characteristics. This filter was then integrated with three different types of rain caps (Figure 1) and two different intake tubes, and further tested under laboratory conditions.
Responsible Neon Team:
Terrestrial Instrumented Systems (TIS)  
Related data products:
NEON.DOM.SITE.DP3.00010.001; NEON.DOM.SITE.DP3.00009.001  
Related publications:
Metzger, S., Burba, G., Burns, S. P., Blanken, P. D., Li, J., Luo, H., and Zulueta, R. C.: Optimization of a gas sampling system for measuring eddy-covariance fluxes of H2O and CO2, Atmos. Meas. Tech. Discuss., 8, 10983-11028, doi:10.5194/amtd-8-10983-2015, 2015.  
Keywords:
atmospheric fluxes; water; carbon dioxide  
Dataset ID:
30d084e0-ff4d-4bbe-a527-6e4366c6e545
Additional Information
File size:
1.9 GB
File type:
DOCX, PDF, TXT, GHG, GZ  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2016. Optimization of a gas sampling system for measuring eddy-covariance fluxes of H2O and CO2, 2013. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_Metzger_etal_2015_GasSamplingSystem.zip

Soil microbe prototype 16S sequence data, 2009-2010 Organisms, Populations, and Communities
Bacterial sequencing metadata and sequence accession numbers from 2009-2010 sampling efforts in AK, HI, UT, and FL
Science theme:
Organisms, Populations, and Communities  
Locations:
Caribou Creek-Poker Flats Watershed (D19; AK; ); Laupahoehoe (D20; HI; ); Onaqui (D15; UT; ); Ordway-Swisher Biological Station (D03; FL; )  
Time range:
2009-2010
Abstract:
Soil microbial communities play a critical role in nutrient transformation and storage in all ecosystems. Quantifying the seasonal and long-term temporal etxent of genetic and functional variation of soil microorganisms in response to biotic and abiotic changes within and across ecosystems will inform our understanding of the effect of climate change on these processes. We examined spatial and seasonal variation in microbial communities based on 16S rRNA gene sequencing and PLFA composition across four biomes. In this study, we used a team-based instructional approach leveraging the iPlant Collaborative to examine publicly available NEON data that quantify diversity, composition, and growth. Both profiling techniques revealed that microbial communities grouped strongly by ecosystem and were predominantly influenced by pH, soil water content, and cation exchange capacity. Temporal differences between profiling methods may be due to the premise that 16S-based measurements are predominantly influenced by large shifts in the abiotic soil environment, while PLFA-based analyses reflect the metabolically active fraction of the microbial community, which is more sensitive to local disturbances and biotic interactions.
Methods:
This study took place in soil habitats at four NEON domains. The sampling locations differ greatly in climatic and physico-chemical characteristics in order to capture the range of soil conditions that will be encountered at NEON sites.
408 soil samples were collected at 4-5 time points during a year from four sites with different levels of intra-annual variability in temperature and precipitation. Samples were collected within a gride measuring 160x320 m divided into eigth 80x80 m cells. Soil cores were 7.5 cm in diameter and sampled from 0-10cm depth. Sub-sets of the three cores corresponding to each cell were combined for a composite sample representative of each cell. Core samples were homogenized, sieved through a 2 mm mesh, and either air-dried or frozen at -80 degrees celcius for downstream analyses. Air-dried samples were analyzed for a suite of biogeochemical measurements.
Responsible Neon Team:
Terrestrial Observational Systems (TOS)  
Related data products:
NEON.DOM.SITE.DP1.10108.001  
Related publications:
Docherty, Kathryn M., Hannah M. Borton, Noelle Espinosa, Martha Gebhardt, Juliana Gil-Loaiza, Jessica LM Gutknecht, Patrick W. Maes, et al. 2015. “Key Edaphic Properties Largely Explain Temporal and Geographic Variation in Soil Microbial Communities across Four Biomes.” PloS One 10 (11): e0135352.  
Keywords:
marker gene sequences; soil microbes; microbial ecology  
Dataset ID:
bfe3bcf1-558a-49d0-a90a-9ed4ff3717d0
Additional Information
File size:
55.6 MB
File type:
CSV, TXT, ZIP, FASTQ  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2016. Soil microbe prototype 16S sequence data, 2009-2010. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_MicrobePrototypeData-2009-2010.zip

Data Hosted Externally

Warning: clicking a link below will navigate to a page outside the Data Portal
http://www.ncbi.nlm.nih.gov/bioproject/288822
NEON prototype data: beetle pitfall collections from CPER in 2008 Organisms, Populations, and Communities
NEON ground beetle sampling will improve our understanding of the distribution, ecology and evolution of ground beetles in both wildland and human-dominated landscapes at a very wide scale over several decades. NEON ground beetle data will have added value through active collocation at the plot and site level with other NEON data (e.g., plant productivity and diversity, rodent density, temperature, precipitation and hundreds of other NEON data products).
Science theme:
Organisms, Populations, and Communities  
Locations:
Central Plains Experimental Range (D10; CO; CPER; [40.839, -104.725])  
Time range:
2008-2008
Abstract:
Ground beetles have been extensively used as indicator species of arthropod biodiversity, environmental change, land use and land management. The ground beetle family is large, widespread, and associated with the ground layer, rather than any particular plant community, ensuring that some ground beetles are present in virtually all terrestrial habitats over the entire extent of the observatory. The family is rich in species, abundant in individuals and well known taxonomically. In addition, ground beetles are sensitive to environmental conditions and form well-defined richness gradients. This prototype data allowed for lessons learned about the implementation of beetle sampling and protocol design.
Methods:
The Central Plains Experimental Range (CPER) is located at the western edge of the Pawnee National Grasslands in Colorado, 19 kilometers northeast of Nunn, Colorado. The elevation ranges between 1,500-1,700 meters. This prototype effort was implemented at alternative plot locations to the operational ones listed on the data portal. GPS coordinates of each plot are recorded.
Ground beetles have been extensively used as indicator species of arthropod biodiversity, environmental change, land use and land management. To implement a sampling regime that measures the abundance and diversity of this indicator, we conducted initial prototype sampling. For this prototype effort, we set out 6 pitfall traps at each of 8 plot locations within the Central Plains Experimental Range site in 2008. Two collections were performed at each trap. The interval of collection for each trap was approximately 2 weeks. Refer to NEON.DOC.000909 for more details on the operational beetle sampling effort.
Responsible Neon Team:
Terrestrial Observational Systems (TOS)  
Related data products:
NEON.DOM.SITE.DP1.10022.001; NEON.DOM.SITE.DP1.10020.001  
Related publications:
 
Keywords:
diversity; abundance; beetles  
Dataset ID:
f136909d-8454-429f-8a68-7756197f8089
Additional Information
File size:
25.9 kB
File type:
xlsx  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2016. NEON prototype data: beetle pitfall collections from CPER in 2008. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEONbeetle2008CPER.zip

eddy4R: A community-extensible processing, analysis and modelling framework for eddy-covariance data Atmosphere
Computational compatibility is one of the current challenges for eddy covariance (EC) tower networks in informing regional and continental scale processes. To resolve this issue, by adopting a Development and Systems Operation (DevOps) philosophy, NEON developed a data product process framework that allows the scalable, portable, and extensible integration of raw measurement hierarchies and geoscientific analyses in a single, open-source, distributed processing environment.
Science theme:
Atmosphere  
Locations:
The Smithsonian Environmental Research Center (D02; MD; SERC; [38.890, -76.560])  
Time range:
2016-2016
Abstract:
This study presents the systematic development of an open-source, flexible and modular eddy-covariance (EC) data processing framework. This is achieved through adopting a Development and Systems Operation (DevOps) philosophy, building on the eddy4R family of EC code packages in the R Language for Statistical Computing as foundation. These packages are community-developed via the GitHub distributed version control system and wrapped into a portable and reproducible Docker filesystem that is independent of the underlying host operating system. The HDF5 hierarchical data format then provides a streamlined mechanism for highly compressed and fully self-documented data ingest and output. This framework is applicable beyond EC, and more generally builds the capacity to deploy complex algorithms developed by scientists in an efficient and scalable manner. In addition, modularity permits meeting project milestones while retaining extensibility with time. The efficiency and consistency of this framework is demonstrated in the form of three application examples. These include tower EC data from first instruments installed at a National Ecological Observatory (NEON) field site, aircraft flux measurements in combination with remote sensing data, as well as a software intercomparison. In conjunction with this study, the first two eddy4R packages and simple NEON EC data products are released publicly. While this proof-of-concept represents a significant advance, substantial work remains to arrive at the automated framework needed for the streaming generation of science-grade EC fluxes.
Methods:
EC tower data from the Smithsonian Environmental Research Center (SERC) in Edgewater, MD, USA are used to demonstrate the capability of eddy4R in this manuscript. SERC is located on the Rhode and West Rivers, and hosts the NEON SERC tower (38°53'24.29" N, 76°33'36.04" W; 30 m a.s.l.). The ecosystem at SERC is a closed-canopy hardwood deciduous forest dominated by tulip popular, oak and ash, with a mean canopy height of approximately 38 m.
By adopting a DevOps philosophy, the data product process frame work developed by NEON includes git-distributed version controlled scientific algorithms and a modular family of open-source R packages (eddy4R), the Hierarchical Data Format (HDF5) data input and output for efficient, self-describing, as well as Docker images to guarantee the same performance regardless of the compute environment.
Responsible Neon Team:
Terrestrial Instrumented Systems (TIS)  
Related data products:
NEON.DOM.SITE.DP1.00010.001; NEON.DOM.SITE.DP1.00007.001; NEON.DOM.SITE.DP1.00034.001; NEON.DOM.SITE.DP1.00035.001  
Related publications:
 
Keywords:
computing; continuous development; continuous integration; devOps; eddy4R; eddy-covariance; image; reproducibility; science code; Docker  
Dataset ID:
d0debf5e-5c66-40c6-8d3c-2a253911d8e6
Additional Information
File size:
712.3 MB
File type:
HDF5  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2017. eddy4R: A community-extensible processing, analysis and modelling framework for eddy-covariance data. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON-SERC-field-test-data.zip

NEON Prototype data: Soil Microbes, Soil Biogeochem., and Plant Structure and Chem., D01 HARV, 2012 Organisms, Populations, and Communities Biogeochemistry
This field effort investigated the feasibility of making co-located plant and soil measurements that captured the landscape- and plot-level variation in soil carbon (C) and nitrogen (N) contents, soil C and N isotopes, soil microbes, soil physical characteristics, plant foliar chemistry and isotopes, vegetation structure, plant canopy characteristics (including collection of digital hemispherical photographs), and aboveground plant biomass.
Science theme:
Organisms, Populations, and Communities; Biogeochemistry  
Locations:
Harvard Forest (D01; MA; HARV; [42.537, -72.173])  
Time range:
2012-2012
Abstract:
A key component of the NEON Science Designs is co-located sampling of a variety of types of ecological data. This prototype dataset contains a number of these ecological data types, collected in July and August of 2012 at site HARV in domain D01 by the Terrestrial Observation System (TOS) before the development of the final standardized protocols. This effort informed numerous data products, including Soil physical properties (Distributed periodic) (DP1.10086), Soil chemical properties (Distributed periodic) (DP1.10078), Soil stable isotopes (Distributed periodic) (NEON.DP1.10100), Soil microbe metagenome sequences (DP1.10107), Plant foliar physical and chemical properties (DP1.10026), Plant foliar stable isotopes (DP1.10053), Digital hemispheric photos of plot vegetation (DP1.10017), and Woody plant vegetation structure (DP1.10098). This prototype field campaign also informed logistics and methods necessary for collocated collection of remote-sensing and ground-based datasets.
Methods:
The Harvard Forest site is comprised of 3,750 acres of land and multiple research facilities. Representative habitats at Harvard Forest include northern, transition, and central forests; marshes, swamps, and conifer-dominated bogs; and forest plantations. The vegetation is typical of the Transition Hardwoods-White Pine-Hemlock region. Similar to the current Domain 01 HARV TOS sampling design, some plots from this study are located within the adjacent Quabbin Reservoir Reserve area, which is characterized by broadly similar vegetation and soils as found in the Harvard Forest site.
Soil and plant samples were collected in July and August of 2012 at the D01 Harvard Forest and Quabbin sites. Plots were established across the landscape according to dominant National Vegetation Classification Standard Alliance-level vegetation types, with plot number per type proportional to area. Within parcels of a given Alliance type, exact plot locations were selected to overlap with coincident NEON Airborne remote sensing observations, and to minimize edge effects with different adjacent Alliance types. Soil samples were collected for various analyses, including nutrients, bulk density, stable isotope, and microbial function. Soil samples were separated into organic and mineral horizons. Following collection in the field, foliar samples were subsampled for analysis of nutrients, isotopes, and leaf mass per area. Field measurements of vegetation structure were used together with allometric equations to calculate live and dead aboveground plant biomass (Jenkins 2003, Smith et al. 2003 GTR-NE-298). Vegetation structure measurements were complemented by digital hemispherical photos that were used to calculate plant area index using CanEye software (leaf plus stem area index). The timing of data collection was coincident with a NEON remote-sensing flight, and plot locations and ground measurements were selected to test integration of NEON ground and remote-sensing data collection efforts across a range of plant community types.
Responsible Neon Team:
Airborne Observation Platform (AOP) ; Terrestrial Observational Systems (TOS)  
Related data products:
NEON.DOM.SITE.DP1.10017.001; NEON.DOM.SITE.DP1.10026.001; NEON.DOM.SITE.DP1.10053.001; NEON.DOM.SITE.DP1.10078.001; NEON.DOM.SITE.DP1.10107.001; NEON.DOM.SITE.DP1.10086.001; NEON.DOM.SITE.DP1.10100.001; NEON.DOM.SITE.DP1.10098.001  
Related publications:
 
Keywords:
biogeochemistry; carbon; digital hemispheric photos; leaf area index; plant productivity; nitrogen; d15N; d13C; soil microbial function; soil chemistry; foliar chemistry; vegetation structure  
Dataset ID:
9edb1594-24a9-4976-a8ef-2cfa0c9ffcb7
Additional Information
File size:
123.6 kB
File type:
CSV, TXT, NEF  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON Prototype data: Soil Microbes, Soil Biogeochem., and Plant Structure and Chem., D01 HARV, 2012. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_D01_HARV_2012_plants_and_soil.zip

NEON prototype data: Surface Water Chemistry Data from Domain 1, Arthur’s Brook Site, 2013-2014 Biogeochemistry
Surface water chemistry data collected from NEON Domain 1, Arthur’s Brook site before the site was shifted to Hop Brook. The site was shifted because Arthur's Brook was too small to implement many of the NEON Aquatic protocols in a standardized way with the rest of the sites within the NEON Observatory.
Science theme:
Biogeochemistry  
Locations:
Arthur's Brook (D01; MA; ARTH; [-72.177, 42.544])  
Time range:
2013-2014
Abstract:
NEON surface water chemistry in wadeable streams is sampled 26 times a year, and is analyzed for a suite of general chemistry, anions, cations, and dissolved, particulate, and total nutrients. Stream Water Chemistry samples were collected in Arthur’s Brook from August 2013 through April 2014.
Methods:
Arthur’s Brook, previously known as West Branch of Bigelow Brook, is a 1st order, small, wadeable headwater stream draining a 0.3 km2 watershed that consists of a dense pine, hemlock, and hardwood closed tree canopy forest. The stream is a tributary to the Swift River and eventually feeds the Quabbin Reservoir. Arthur’s Brook is located in the Harvard Forest in Massachusetts, which was established in 1907 for research and education of forest biology and ecology by Harvard University. Harvard Forest is one of the most intensely studied forests in the nation. Arthur’s Brook lies within a very small, densely forested watershed, with low inorganic nutrient (nitrogen and phosphorus) concentrations. Stream water is slightly acidic given acidic soils in this region. Major export of carbon, nitrogen and phosphorus occur during spring snowmelt and other high discharge rain events. Litterfall and shallow subsurface flow through the rich soil horizons are major sources of inorganic and organic nutrients to the stream.
The design is consistent with the surface water chemistry sampling protocol & procedure (NEON.DOC.002905vA). Grab samples of surface water are collected up to 26 times per year in streams. 12 samples are collected at regular intervals during the sampling season, while the remaining 14 are collected on an irregular basis to capture major flow events. The field protocol used by NEON for collecting surface water chemistry samples follows the general requirements set forth by the 2011 USGS National Water-Quality Assessment (NAWQA) Program and the Arctic LTER standard operating procedures (SOP). Sample handling and preparation portions of this protocol follow the general requirements set forth by the USGS National Water-Quality Assessment (NAWQA) Program (USGS 2006).
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
NEON.DOM.SITE.DP1.20093.001  
Related publications:
 
Keywords:
water; biogeochemistry; alkalinity; carbon; DOC; dissolved gases; nitrate; ammonia; fluoride; phosphorus; magnesium; manganese; nitrite; pH; potassium; water quality; particulates; silica; sodium; conductivity; bromide; nutrients; anions; cations  
Dataset ID:
1fce1990-0da1-4457-a8a4-55e8a62d6361
Additional Information
File size:
6.5 kB
File type:
CSV  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2017. NEON prototype data: Surface Water Chemistry Data from Domain 1, Arthur’s Brook Site, 2013-2014. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_ARTH_ WaterChem_2013-2014.zip

NEON prototype mosquito data from CPER, 2011 Organisms, Populations, and Communities
NEON’s mosquito sampling will provide an informative measure of a biological response to environmental, climate and land-use change. NEON sampling will augment state and local mosquito collection efforts and will enable us to characterize the response of mosquito populations, including abundance, phenology, and range to land use and other ecosystem drivers.
Science theme:
Organisms, Populations, and Communities  
Locations:
Central Plains Experimental Range (D10; CO; CPER; [40.839, -104.725])  
Time range:
2011-2011
Abstract:
Mosquitoes are a widespread family of insects with aquatic larval and pupal forms and flying adults that have been extensively studied because of their ecological and epidemiological significance. As a dominant taxon in aquatic food webs, mosquitoes compose a sizable proportion of invertebrate biomass in aquatic systems and act as a key food source for aquatic and terrestrial predators (e.g., fish, amphibians, spiders, birds). Mosquitoes also act as vectors for numerous parasites and pathogens of humans, livestock, and wildlife and their biology and ecology have been extensively studied to characterize and mitigate impacts of associated diseases. This prototype data allowed for lessons learned about the implementation of mosquito sampling and protocol design.
Methods:
The Central Plains Experimental Range (CPER) is located at the western edge of the Pawnee National Grasslands in Colorado, 19 kilometers northeast of Nunn, Colorado. The elevation ranges between 1,500-1,700 meters. This prototype effort was implemented at alternative plot locations to the operational ones listed on the NEON data portal (http://data.neonscience.org).
To implement a sampling regime that measures the abundance and diversity of mosquitoes, we conducted initial prototype sampling. As a first test of the protocol, we set out 10 CO2 traps within the Central Plains Experimental Range site in 2011. Traps were deployed for 48 hours once per week for 10 weeks. For the remaining 6 weeks, 2 CO2 traps were deployed weekly for a 48 hour period. Refer to NEON.DOC.000910 and NEON.DOC.000911 for more details on the operational mosquito sampling effort and vector science design.
Responsible Neon Team:
Terrestrial Instrumented Systems (TIS) ; Terrestrial Observational Systems (TOS)  
Related data products:
NEON.DOM.SITE.DP1.10043.001  
Related publications:
 
Keywords:
mosquitoes  
Dataset ID:
7f40cdc8-007c-413b-92d7-a8f1917596ca
Additional Information
File size:
8.2 kB
File type:
CSV  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2017. NEON prototype mosquito data from CPER, 2011. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_mos_trapping_in_Colorado_2011.zip

NEON prototype data: Breeding landbird point counts, Rocky Mountain National Park, 2012 Organisms, Populations, and Communities
Point counts were conducted at 8 grids of 16 points each, with points within grids separated by 250 m.
Science theme:
Organisms, Populations, and Communities  
Locations:
Rocky Mountain National Park (D10; CO; N/A (no longer a NEON site); [40.400, -105.600])  
Time range:
2012-2012
Abstract:
These data are prototype data from NEON's breeding landbird sampling. Breeding landbirds are defined as “smaller birds (usually exclusive of raptors and upland game birds) not usually associated with aquatic habitats” (Ralph et al. 1993). The breeding landbird point counts product provides records of species identification of all individuals observed during the 6-minute count period, as well as metadata which can be used to model detectability, e.g., weather, distances from observers to birds, and detection methods. The NEON point count method is adapted from the Integrated Monitoring in Bird Conservation Regions (IMBCR): Field protocol for spatially-balanced sampling of landbird populations (Hanni et al. 2017; http://bit.ly/2u2ChUB). For additional details, see protocol [NEON.DOC.014041](http://data.neonscience.org/api/v0/documents/NEON.DOC.014041vF): TOS Protocol and Procedure: Breeding Landbird Abundance and Diversity and science design [NEON.DOC.000916](http://data.neonscience.org/api/v0/documents/NEON.DOC.000916vB): TOS Science Design for Breeding Landbird Abundance and Diversity.
Methods:
This sampling took place in Rocky Mountain National Park, within the provisional NEON site boundary. The location of the NEON sampling has subsequently been shifted to outside of the Park for permitting reasons, and so these sampling locations are not planned to be resampled as part of the NEON project. Coordinates for each point are provided, along with LANDFIRE vegetation types (https://www.landfire.gov/vegetation.php).
Each grid was sampled 2-3 times between May and July 2012. Point counts are six minutes long, with each minute tracked by the observer, following a two-minute settling-in period. All birds are recorded to species and sex, whenever possible, and the distance to each individual or flock is measured with a laser rangefinder, except in the case of flyovers. Notable birds observed outside of the point count window or the specified sampling locations are denoted with a point_id of ‘88’.
Responsible Neon Team:
Terrestrial Observational Systems (TOS)  
Related data products:
NEON.DOM.SITE.DP1.10003.001  
Related publications:
 
Keywords:
landbirds; demographics  
Dataset ID:
5805cb7a-66e5-4e40-87fe-3cdb880d554f
Additional Information
File size:
40.9 kB
File type:
CSV  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2017. NEON prototype data: Breeding landbird point counts, Rocky Mountain National Park, 2012. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_prototype_landbirds2012.zip

NEON prototype mosquito data from Florida and Georgia collections, 2012 Organisms, Populations, and Communities
NEON’s mosquito sampling will provide an informative measure of a biological response to environmental, climate and land-use change. NEON sampling will augment state and local mosquito collection efforts and will enable us to characterize the response of mosquito populations, including abundance, phenology, and range to land use and other ecosystem drivers.
Science theme:
Organisms, Populations, and Communities  
Locations:
Jones Ecological Research Center (D03; GA; JERC; [31.195, -84.469]); Ordway-Swisher Biological Station (D03; FL; OSBS; [29.689, -81.993]); Disney Wilderness Preserve (D03; FL; DSNY; [28.125, -81.436])  
Time range:
2012-2012
Abstract:
Mosquitoes are a widespread family of insects with aquatic larval and pupal forms and flying adults that have been extensively studied because of their ecological and epidemiological significance. As a dominant taxon in aquatic food webs, mosquitoes compose a sizable proportion of invertebrate biomass in aquatic systems and act as a key food source for aquatic and terrestrial predators (e.g., fish, amphibians, spiders, birds). Mosquitoes also act as vectors for numerous parasites and pathogens of humans, livestock, and wildlife and their biology and ecology have been extensively studied to characterize and mitigate impacts of associated diseases. This prototype data allowed for lessons learned about the implementation of mosquito sampling and protocol design.
Methods:
The Domain 03 site in the southeastern United States has three terrestrial sampling sites associated with it: the Jones Ecological Research Center (JERC), the Ordway-Swisher Biological Station (OSBS) and the Disney Wilderness Preserve (DSNY). The Jones Ecological Research Center is an 11,000-hectare reserve located within the Lower Coastal Plains and Flatwoods areas in southern Georgia. The Ordway-Swisher Biological Station (OSBS) is a year-round field station operated by the University of Florida and comprises over 9,300 acres located approximately 20 miles east of Gainesville in Melrose (Putnam County, Florida). The 12,000-acre Disney Wilderness Preserve straddles the headwaters of the Everglades ecosystem in south-central Florida.
To implement a sampling regime that measures the abundance and diversity of mosquitoes, we conducted initial prototype sampling. As a first test of the protocol, we set out 10 CO2 traps at three sites in 2012. Traps were deployed for 24 hours, at three (OSBS, DSNY) or four (JERC) time points through the summer. Refer to NEON.DOC.000910 and NEON.DOC.000911 for more details on the operational mosquito sampling effort and vector science design.
Responsible Neon Team:
Terrestrial Observational Systems (TOS)  
Related data products:
NEON.DOM.SITE.DP1.10043.001  
Related publications:
 
Keywords:
diversity; mosquitoes  
Dataset ID:
09b6268b-807b-4f1c-ad12-cc3daccfe15a
Additional Information
File size:
20.8 kB
File type:
CSV  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype mosquito data from Florida and Georgia collections, 2012. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_mosquito_prototype_data_FL_GA_2012_part1.zip
NEON_mosquito_prototype_data_FL_GA_2012_part2.zip

NEON Prototype Aquatic Macroinvertebrate Data from D01 Arthur’s Brook (ARTH), 2014 Organisms, Populations, and Communities
Surface water chemistry data collected from the NEON Domain 1 Arthur’s Brook site before the NEON site was moved to Hop Brook. The site was moved because Arthur's Brook was too small to implement many of the NEON Aquatic protocols in a way that was standardized with the rest of the wadeable stream sites within the NEON Observatory.
Science theme:
Organisms, Populations, and Communities  
Locations:
Arthur's Brook (D01; MA; ARTH; [42.544, -72.177])  
Time range:
2014-2014
Abstract:
Benthic macroinvertebrates in wadeable streams are sampled 3 times per year, roughly in spring, summer, and fall. Samples are collected in the two most dominant habitat types within the NEON sampling reach, using the most appropriate type of benthic sampler for the substratum and habitat type. Macroinvertebrate samples are preserved in the field and shipped to an external lab for sorting, subsampling, taxonomic identification, and morphometric analysis. Macroinvertebrate samples were collected in Arthur’s Brook in Arthur’s Brook in October, 2014.
Methods:
Arthur Brook (formerly known as Bigelow Brook) is a small headwater stream located in the Harvard Forest in Massachusetts. The stream channel is in a heavily-forested catchment, dominated by Eastern Hemlock (Tsuga canadensis L.). The stream channel flows below ground in several portions of the NEON sampling reach.
Benthic invertebrates at NEON aquatic sites are sampled using a percent-based macrohabitat approach (after Moulton et al. 2002). Habitats sampled focus on riffles, runs, pools, and step pools depending on the percent cover of each habitat within each 1 km-long NEON Aquatic wadeable stream site. Five samples are collected in the dominant habitat type, and three samples are collected in the second-most dominant habitat type for a total of eight samples on a given sampling date at a site. The sampler type chosen differs depending on the water depth, velocity, and substratum type in the chosen habitat (Hauer and Resh 2006). The collection method may differ depending on the habitat and substrate being sampled, however all samples are collected from the surface of the natural substratum in each habitat using a quantitative sampling method. Macroinvertebrate sampling occurs three times per year. Timing of sampling is site-specific and determined based on historical hydrological and meteorological data. Sample bout 1 is an early season date, representing a period of rapid biomass accumulation after winter, typically prior to leaf out or ice-off where applicable. Sample bout 2 targets mid-summer baseflow conditions and sample bout 3 represents the late growing season (typically autumn) during leaf-fall where applicable.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
 
Related publications:
 
Keywords:
water; diversity; abundance; wadeable stream; macroinvertebrates; benthic  
Dataset ID:
e7d152a1-1181-4c7e-ac75-ae707ffc7299
Additional Information
File size:
16.6 kB
File type:
CSV  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON Prototype Aquatic Macroinvertebrate Data from D01 Arthur’s Brook (ARTH), 2014. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_ARTH_INV_prototype2014.zip

NEON Prototype Aquatic Macroinvertebrate Data from D03 Ichawanochaway Creek (ICHA), 2015 Organisms, Populations, and Communities
Surface water chemistry data collected from the NEON Domain 3 Ichawaynochaway Creek site before the NEON site was moved to the nearby Flint River. The site was moved because Ichawaynochaway Creek had variable flow ranging from wadeable to non-wadeable conditions, and was designed to be a large river site. The river flow was too variable to implement many of the NEON Aquatic protocols in a way that was standardized with the rest of the river (non-wadeable) sites within the NEON Observatory.
Science theme:
Organisms, Populations, and Communities  
Locations:
Ichawaynochaway Creek (D03; GA; ICHA; [-84.467, 31.199])  
Time range:
2015-2015
Abstract:
Benthic macroinvertebrates in wadeable streams are sampled 3 times per year, roughly in spring, summer, and fall. Samples are collected in the two most dominant habitat types within the NEON sampling reach, using the most appropriate type of benthic sampler for the substratum and habitat type. Macroinvertebrate samples are preserved in the field and shipped to an external lab for sorting, subsampling, taxonomic identification, and morphometric analysis. Macroinvertebrate samples were collected in Arthur’s Brook in Ichawaynochaway Creek in July 2015.
Methods:
Ichawaynochaway Creek is a fifth-order tributary to the lower Flint River in Georgia. The surrounding area is dominated by mixed row-crops and deciduous hardwood and longleaf pine forest. Ichawaynochaway Creek is fed by a number of seeps and springs along its length (Rugel et al. 2016). The NEON reach is located near the near the Joseph W. Jones Ecological Research Center.
Benthic invertebrates at NEON aquatic sites are sampled using a percent-based macrohabitat approach (after Moulton et al. 2002). Habitats sampled focus on riffles, runs, pools, and step pools depending on the percent cover of each habitat within each 1 km-long NEON Aquatic wadeable stream site. Five samples are collected in the dominant habitat type, and three samples are collected in the second-most dominant habitat type for a total of eight samples on a given sampling date at a site. The sampler type chosen differs depending on the water depth, velocity, and substratum type in the chosen habitat (Hauer and Resh 2006). The collection method may differ depending on the habitat and substrate being sampled, however all samples are collected from the surface of the natural substratum in each habitat using a quantitative sampling method. Macroinvertebrate sampling occurs three times per year. Timing of sampling is site-specific and determined based on historical hydrological and meteorological data. Sample bout 1 is an early season date, representing a period of rapid biomass accumulation after winter, typically prior to leaf out or ice-off where applicable. Sample bout 2 targets mid-summer baseflow conditions and sample bout 3 represents the late growing season (typically autumn) during leaf-fall where applicable.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
 
Related publications:
 
Keywords:
water; diversity; abundance; wadeable stream; macroinvertebrates; benthic  
Dataset ID:
1599af29-fad4-4721-9b09-f8324b672d50
Additional Information
File size:
20.5 kB
File type:
CSV  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON Prototype Aquatic Macroinvertebrate Data from D03 Ichawanochaway Creek (ICHA), 2015. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_ICHA_INV_prototype2015.zip

NEON prototype small mammal box trapping data, Rocky Mountain National Park (RMNP), CO, 2012 Organisms, Populations, and Communities
Small mammal sampling is based on the lunar calendar, with timing of sampling constrained to occur within 10 days before or after the new moon. Small mammals were sampled using box traps (models LFA, XLK, H.B. Sherman Traps, Inc., Tallahassee, FL, USA). Box traps were arrayed in eight 10 x 10 grids with 10m spacing between traps at all sites. Small mammal trapping bouts were comprised of three nights of trapping.
Science theme:
Organisms, Populations, and Communities  
Locations:
RMNP (D10; CO; NA (no longer a NEON site); [40.400, -105.600])  
Time range:
2012-2012
Abstract:
This data product contains the quality-controlled, native sampling resolution data from NEON's small mammal sampling protocol. Here small mammals are defined based on a combination of behavioral, dietary, and size constraints, as the NEON design is limited to species sampled by box traps. This definition includes any mammal that is (1) nonvolant; (2) nocturnally active; (3) forages predominantly aboveground; and (4) is greater than 5 grams but less than approximately 500-600 g. In North America, this includes cricetids, heteromyids, small sciurids, and introduced murids. It does not include shrews, large squirrels, rabbits, or weasels, despite the fact that individuals of these species may be incidentally captured. Products resulting from this sampling include the species identification and unique identifier for each individual captured, as well as a suite of standard size measurements and reproductive condition data. Blood samples for pathogen testing were collected only once per individual per sampling bout, but an individual may be resampled in subsequent bouts. For additional details, see protocol [NEON.DOC.000481](http://data.neonscience.org/api/v0/documents/NEON.DOC.000481vJ): TOS Protocol and Procedure: Small Mammal Sampling and science design [NEON.DOC.000914](http://data.neonscience.org/api/v0/documents/NEON.DOC.000915vA): TOS Science Design for Small Mammal Abundance and Diversity.
Methods:
These locations were not permitted for long-term sampling for NEON.
Individual- and trap-level data collected using box traps designed to capture small mammals in designated locations within Rocky Mountain National Park.
Responsible Neon Team:
Terrestrial Observational Systems (TOS)  
Related data products:
 
Related publications:
 
Keywords:
diversity; community composition; population; species composition; rodents; density; small mammals; taxonomy; mark-recapture; demography  
Dataset ID:
be57a1e5-d457-4dc5-a3fb-f4e21e32b96d
Additional Information
File size:
28.5 kB
File type:
.csv  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype small mammal box trapping data, Rocky Mountain National Park (RMNP), CO, 2012. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_mammals_2012.zip

Soil CO2 assembly response time Biogeochemistry
NEON’s soil CO2 assembly was designed protect the sensor from soil and allow regular removal for calibration without disturbing the soil. To achieve this, the assembly includes several filters and is relatively large, which is expected to slow the response time. We determined the response time of CO2 sensors installed inside the assemblies. Since temperature and pressure affect diffusivity, this was done at a range of temperature and pressures that are expected to be encountered at NEON sites.
Science theme:
Biogeochemistry  
Locations:
Eosense (; CO; ; [44.661, -65.542])  
Time range:
2017-2017
Abstract:
The gradient method is increasingly used to measure soil CO2 fluxes, and while many of the assumptions and challenges associated with the method have been investigated over recent years, the impact of sensor response time on flux calculations has not been investigated. Here we quantify the response time of soil CO2 sensors inside infrastructure used by the National Ecological Observatory Network (NEON) to measure gradients of soil CO2 concentration across a range of temperatures and pressures. Sensors in the soil CO2 assemblies had a slow 75% response time at 10 °C and 101 kPa when the concentration changed from low to high (mean ±SD: 2.02 ±0.31 hrs). As expected, response times decreased with increasing temperature (p < 0.0001) and decreasing pressure (p < 0.0001), and also differed among the five assemblies that were tested (p = 0.002). Across the ranges we studied, the impact on mean 75% response time was larger for temperature (1.2 - 2.1 hrs) than pressure (1.4 - 2.0 hrs) or assembly (1.4 - 2.0 hrs). The temperature-pressure combination with the slowest and fastest 75% response was -29 °C and 72 kPa (2.7 ±0.6 hrs) and 50 °C and 72 kPa (1.1 ±0.1 hrs), respectively. The 75% response time was slightly slower when the concentration was changed from high to low (2.20 ±0.40 hrs) than from high to low (2.02 ±0.31 hrs) at 10 °C and 101 kPa, indicating a slight hysteresis (p = 0.016); however, the magnitude of the effect was substantially smaller than changes in temperature, pressure, or different assemblies.
Methods:
Laboratory study
An enclosure was constructed to house 5 soil CO2 assemblies, each containing one CO2 sensor, as well as a single sensor that was not in an assembly. The enclosure was placed inside a climate controlled chamber to manipulate temperature and pressure. CO2 concentration from each sensor, as well as temperature, pressure, relative humidity, and oxygen concentration, were measured before, during, and after a rapid change in CO2 concentration at 25 temperature and pressure combinations.
Responsible Neon Team:
Terrestrial Instrumented Systems (TIS)  
Related data products:
NEON.DOM.SITE.DP1.00095.001  
Related publications:
 
Keywords:
Soil CO2 concentration; response time; gradient method; soil respiration; soil CO2 flux  
Dataset ID:
bb827baf-308e-474d-8493-6bd3b4dd82b4
Additional Information
File size:
27.7 MB
File type:
XML, PDF, XLS  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. Soil CO2 assembly response time. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

SoilCO2ResponseTimes.zip

NEON prototype bathymetric sonar data from D03 BARC, 2011 Ecohydrology Land Cover and Processes
This file contains prototype bathymetric data that has had little or no post processing for higher level data products. Data were collected using the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197]. Review the README and the BAT_Master_OpalFiles.csv file for details regarding the file types associated with this package.
Science theme:
Ecohydrology; Land Cover and Processes  
Locations:
Barco Lake (D03; FL; BARC; [29.676, -82.009])  
Time range:
2011-2011
Abstract:
The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
Methods:
Domain 03, Barco Lake, Florida
Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
 
Related publications:
 
Keywords:
bathymetry; sonar; side scan; habitat  
Dataset ID:
f90d93e1-d100-46e2-ab2c-1a9e556e25d2
Additional Information
File size:
1.3 GB
File type:
XML, DAT, JPG, KML, SON  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype bathymetric sonar data from D03 BARC, 2011. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

D03_BARC_BAT_2011.zip

NEON prototype bathymetric sonar data from D03 BARC, 2014 (June) Ecohydrology Land Cover and Processes
This file contains prototype bathymetric data that has had little or no post processing for higher level data products. Data were collected using the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197]. Review the README and the BAT_Master_OpalFiles.csv file for details regarding the file types associated with this package.
Science theme:
Ecohydrology; Land Cover and Processes  
Locations:
Barco Lake (D03; FL; BARC; [29.676, -82.009])  
Time range:
2014-2014
Abstract:
The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
Methods:
Barco Lake, D03; FL; BARC
Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
 
Related publications:
 
Keywords:
bathymetry; sonar; side scan; habitat  
Dataset ID:
0f9d8c28-32c6-42df-a64f-3439dd51d751
Additional Information
File size:
0 kB
File type:
DAT, SON  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype bathymetric sonar data from D03 BARC, 2014 (June). Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

NEON Prototype Digital Hemispheric Photos of plot vegetation, multiple domains, collected 2013-2015 Land Cover and Processes Biogeochemistry
Digital Hemispherical Photos, used to calculate Leaf Area Index, were collected from 13 NEON domains and 21 sites between 2013-2015. There are images from 2 sites in 2013 (Domain 03), 13 sites in 2014, and all 21 sites in 2015. Compared to the Digital Hemispherical Photo product on the Data Portal, records in this dataset lack some plot-level metadata, and images are not associated with a within-plot pointID; otherwise, fields and data types are analogous to the published product.
Science theme:
Land Cover and Processes; Biogeochemistry  
Locations:
Bartlett Experimental Forest (D01; NH; BART; [44.064, -71.287]); Harvard Experimental Forest (D01; MA; HARV; [42.537, -72.173]); Blandy Experimental Farm (D02; VA; BLAN; [39.060, -78.072]); Smithsonian Conservation Biological Institute (D02; VA; SCBI; [38.893, -78.140]); Smithsonian Environmental Research Center (D02; MD; SERC; [38.890, -76.560]); Disney Wilderness Preserve (D03; FL; DSNY; [28.125, -81.436]); Jones Ecological Research Center (D03; GA; JERC; [31.195, -84.469]); Ordway Swisher Biological Station (D03; FL; OSBS; [29.689, -81.993]); Guanica Forest (D04; PA; GUAN; [17.970, -66.869]); Steigerwaldt Land Services (D05; WI; STEI; [45.509, -89.586]); University of Notre Dame Environmental Research Center (D05; WI; UNDE; [46.234, -89.537]); Oak Ridge National Laboratory (D07; TN; ORNL; [35.964, -84.283]); Talladega National Forest (D08; AL; TALL; [32.950, -87.393]); Woodworth (D09; ND; WOOD; [47.128, -99.241]); Central Plains Experimental Range (D10; CO; CPER; [40.816, -104.746]); North Sterling (D10; CO; STER; [40.462, -103.029]); Moab (D13; UT; MOAB; [38.248, -109.388]); Niwot Ridge (D13; CO; NIWO; [40.054, -105.582]); Jornada LTER (D14; NM; JORN; [32.591, -106.843]); Onaqui-Ault (D15; UT; ONAQ; [40.178, -112.452]); Healy (D19; AK; HEAL; [63.876, -149.213])  
Time range:
2013-2015
Abstract:
The Digital Hemispheric Photos of Plot Vegetation prototype dataset contains the native sampling resolution field data and 180 degree hemispherical images that enable ground-based calculation of Leaf Area Index (LAI) and / or Plant Area Index (PAI). For forests, both upward-facing photos of canopy vegetation, and photos of understory vegetation were collected. For shorter-stature ecosystems, only downward-facing images of 'understory' vegetation were collected, where 'understory' is defined to include all vegetation. Photos were collected with a full-frame DSLR camera equipped with a 16 mm fisheye lens, and are provided here in RAW image format. For additional details, see protocol [NEON.DOC.014039](http://data.neonscience.org/api/v0/documents/NEON.DOC.014039vH): TOS Protocol and Procedure: Measurement of Leaf Area Index, and Science Design [NEON.DOC.000914](http://data.neonscience.org/api/v0/documents/NEON.DOC.000914vA): TOS Science Design for Plant Biomass, Productivity and Leaf Area Index.
Methods:
At each site, images were collected from Distributed Plots and/or Tower Plots. Images from Distributed Plots, identified via a '00' present in the eventID field, were collected from n=20 plots, allocated across the site proportional to the area of dominant NLCD vegetation types, and in a spatially balanced manner. Tower Plots are located in the land surrounding the NEON Tower, and plots chosen for sampling were selected by field technicians using logistical criteria, typically proximity to each other and to roads to speed image collection during brief crepuscular hours. For detailed descriptions of each site, see available NEON TOS Site Characterization Reports. For precise plot-level spatial data, see the TOS Spatial Data download on the NEON Data Portal.
Digital Hemispheric Photos (DHPs) of plot vegetation were collected once for a subset of sites from twenty randomly selected Distributed Plots (eventIDs containing '00'); collection from these plots was timed such that DHPs were acquired within a one month window that also included a NEON AOP remote-sensing flight over the site. DHPs were also collected from n=3 Tower Plots, typically on a 2 week interval, from leaf-out to senescence. Within each plot, photo points are arranged according to the shape of a square cross, oriented in alignment with the cardinal axes, and with points spaced every 4 meters. At each photo point within the plot, photos of understory vegetation were acquired, with 'understory' defined as vegetation typically less than 2 meters height. In grasslands and scrublands, the understory was therefore the only vegetation photographed. When an overstory was present, i.e. vegetation greater than 2 m height, photographs of overstory were also acquired at each photo point. Overstory images were typically collected in the crepuscular hours of the day, when direct sunlight was not illuminating the foliage. Overstory images were sometimes collected under overcast conditions, such that the sun does not cast a shadow. Understory images were typically collected during daylight hours.
Responsible Neon Team:
Terrestrial Observational Systems (TOS)  
Related data products:
NEON.DOM.SITE.DP1.10017.001  
Related publications:
 
Keywords:
biogeochemistry; carbon; digital hemispheric photos; leaf area index; carbon flux; plant productivity  
Dataset ID:
aa5e8b11-c7c9-446f-891f-411cd0c406a1
Additional Information
File size:
868.6 kB
File type:
CSV, PDF  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON Prototype Digital Hemispheric Photos of plot vegetation, multiple domains, collected 2013-2015. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_dhp_prototypeData_2013-2015.zip

Data Hosted Externally

Warning: clicking a link below will navigate to a page outside the Data Portal
https://s3.data.neonscience.org/neon-dhp-images/
NEON prototype bathymetric sonar data from D03 BARC, 2014 (September) Ecohydrology Land Cover and Processes
This file contains prototype bathymetric data that has had little or no post processing for higher level data products. Data were collected using the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197]. Review the README and the BAT_Master_OpalFiles.csv file for details regarding the file types associated with this package.
Science theme:
Ecohydrology; Land Cover and Processes  
Locations:
Barco Lake (D03; FL; BARC; [29.676, -82.009])  
Time range:
2014-2014
Abstract:
The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
Methods:
Barco Lake, D03; FL; BARC
Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
 
Related publications:
 
Keywords:
bathymetry; sonar; side scan; habitat  
Dataset ID:
64b42d3c-0363-4072-8c2e-c45eccc6ca25
Additional Information
File size:
1.5 GB
File type:
DAT, SON  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype bathymetric sonar data from D03 BARC, 2014 (September). Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

D03_BARC_BAT_20140917.zip

NEON prototype bathymetric sonar data from D03 FLNT, 2016 Ecohydrology Land Cover and Processes
This file contains prototype bathymetric data that has had little or no post processing for higher level data products. Data were collected using the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197]. Review the README and the BAT_Master_OpalFiles.csv file for details regarding the file types associated with this package.
Science theme:
Ecohydrology; Land Cover and Processes  
Locations:
Flint River (D03; GA; FLNT; [31.185, -84.437])  
Time range:
2016-2016
Abstract:
The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
Methods:
Flint River, D03; FL; FLNT
Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
 
Related publications:
 
Keywords:
bathymetry; sonar; side scan; habitat  
Dataset ID:
e9cf77b5-d5f5-432c-a3b3-b05439ca00e2
Additional Information
File size:
282.3 MB
File type:
XML, TXT, DAT, KML, SON  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype bathymetric sonar data from D03 FLNT, 2016. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

D03_FLNT_BAT_2016.zip

NEON prototype bathymetric sonar data from D02 SUGG, 2011 Ecohydrology Land Cover and Processes
This file contains prototype bathymetric data that has had little or no post processing for higher level data products. Data were collected using the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197]. Review the README and the BAT_Master_OpalFiles.csv file for details regarding the file types associated with this package.
Science theme:
Ecohydrology; Land Cover and Processes  
Locations:
Suggs Lake (D03; FL; SUGG; [29.687, -82.016])  
Time range:
2011-2011
Abstract:
The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
Methods:
Suggs Lake, D03; FL; SUGG
Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
NEON.DOM.SITE.DP4.00132.001  
Related publications:
 
Keywords:
bathymetry; sonar; side scan; habitat  
Dataset ID:
f49a95f7-3862-4d25-bc28-6f98cfbb00d2
Additional Information
File size:
468.2 MB
File type:
DAT, JPG, SON  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype bathymetric sonar data from D02 SUGG, 2011. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

D03_SUGG_BAT_2011.zip

NEON Prototype Aquatic Periphyton, Seston, and Phytoplankton Collection Data from 2014-2016 Organisms, Populations, and Communities
Periphyton, Seston, and Phytoplankton collection includes field data, biomass and lab processing data, and external lab taxonomy data. This project includes data from D01 Arthur’s Brook and D03 Ichawaynochaway Creek, both obsolete aquatic sites. This package also includes data from D05 Crampton Lake and D09 Prairie Pothole, where permanent sampling locations have moved within the lakes.
Science theme:
Organisms, Populations, and Communities  
Locations:
Arthur's Brook (D01; MA; ARTH; [42.541, -72.176]); Ichawaynochaway Creek (D03; GA; ICHA; [31.199, -84.467]); Crampton Lake (D05; WI; CRAM; [46.211, -89.478]); Prairie Pothole (D09; ND; PRPO; [47.130, -99.251])  
Time range:
2014-2016
Abstract:
This data product contains the quality-controlled, native sampling resolution data from NEON's aquatic periphyton, seston, and phytoplankton collection and field metadata, as well as associated taxonomic, morphometric, and count analyses data provided by a contracted lab. Benthic and water column field samples are collected in wadeable streams, rivers, and lakes three times per year during the growing season. Samples are processed at the domain support facility and separated into aliquots for taxonomic analysis (preserved in glutaraldehyde or Lugol's iodine) for shipment to an external facility, or filtered onto glass-fiber filters for biomass (ash-free dry mass). For additional details, see NEON.DOC.003045 AOS Protocol and Procedure: Periphyton, Seston, and Phytoplankton Sampling and NEON.DOC.001152: NEON Aquatic Sampling Strategy.
Methods:
These data were collected at all two obsolete NEON aquatic sites, wadeable stream D01 ARTH and river D03 ICHA, and at two lakes where sampling locations have moved (D05 CRAM and D09 PRPO).
Periphyton, seston, and phytoplankton samples are collected three times per year at wadeable stream, river, and lake sites during aquatic biology bout windows, roughly in spring, summer, and fall. Samples are collected using the most appropriate sampler for the habitat and substratum type, including rock scrubs, grab samples, and epiphyton. In wadeable streams, periphyton samples are collected in the two most dominant benthic habitat types (e.g. riffles, runs, pools, step pools), and seston samples are collected from the water column near the S2 sensor. In lakes, water-column phytoplankton samples are collected near the buoy, inlet, and outlet sensors using a Kemmerer sampler, and in littoral areas using the best benthic sampling method for the substratum type. In rivers, phytoplankton samples are collected near the buoy and two other deep-water locations using a Kemmerer sampler, and in littoral areas using the most benthic sampling method for the substratum type. All field-collected samples are split into subsamples in the domain support facility, which are either processed in the facility (ash-free dry mass) or preserved and shipped to a contracting taxonomy laboratory.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
NEON.DOM.SITE.DP1.20163.001; NEON.DOM.SITE.DP1.20166.001  
Related publications:
 
Keywords:
diversity; benthic; community composition; population; species composition; taxonomy; algae; aquatic; benthos; cyanobacteria; diatoms; microalgae; soft algae; suspended; water column  
Dataset ID:
476fe6fb-fbe2-4757-9685-7e36f4663e8e
Additional Information
File size:
80.7 kB
File type:
CSV  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON Prototype Aquatic Periphyton, Seston, and Phytoplankton Collection Data from 2014-2016. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_alg_collection_2014-2016.zip

NEON Prototype Aquatic Periphyton, Seston, and Phytoplankton Chemical Properties Data from 2014-2016 Biogeochemistry
Periphyton, Seston, and Phytoplankton chemical properties data include field data, lab processing data, and external lab chemistry data. This data package includes data from D01 Arthur’s Brook and D03 Ichawaynochaway Creek, both obsolete aquatic sites. This package also includes data from D05 Crampton Lake and D09 Prairie Pothole, where permanent sampling locations have moved within the lakes.
Science theme:
Biogeochemistry  
Locations:
Arthur's Brook (D01; MA; ARTH; [42.541, -72.176]); Ichawaynochaway Creek (D03; GA; ICHA; [31.199, -84.467]); Crampton Lake (D05; WI; CRAM; [46.211, -89.478]); Prairie Pothole (D09; ND; PRPO; [47.130, -99.251])  
Time range:
2014-2016
Abstract:
This data product contains the quality-controlled, native sampling resolution data from NEON's aquatic periphyton, seston, and phytoplankton collection and field metadata, as well as associated taxonomic, morphometric, and count analyses data provided by a contracted lab. Benthic and water column field samples are collected in wadeable streams, rivers, and lakes three times per year during the growing season. Samples are processed at the domain support facility and separated into aliquots for taxonomic analysis (preserved in glutaraldehyde or Lugol's iodine) for shipment to an external facility, or filtered onto glass-fiber filters for biomass (ash-free dry mass). For additional details, see NEON.DOC.003045 AOS Protocol and Procedure: Periphyton, Seston, and Phytoplankton Sampling and NEON.DOC.001152: NEON Aquatic Sampling Strategy.
Methods:
These data were collected at all two obsolete NEON aquatic sites, wadeable stream D01 ARTH and river D03 ICHA, and at two lakes where sampling locations have moved (D05 CRAM and D09 PRPO).
Periphyton, seston, and phytoplankton samples are collected three times per year at wadeable stream, river, and lake sites during aquatic biology bout windows, roughly in spring, summer, and fall. Samples are collected using the most approriate sampler for the habitat and substratum type, including rock scrubs, grab samples, and epiphyton. In wadeable streams, periphyton samples are collected in the two most dominant benthic habitat types (e.g. riffles, runs, pools, step pools), and seston samples are collected from the water column near the S2 sensor. In lakes, water-column phytoplankton samples are collected near the buoy, inlet, and outlet sensors using a Kemmerer sampler, and in littoral areas using the best benthic sampling method for the substratum type. In rivers, phytoplankton samples are collected near the buoy and two other deep-water locations using a Kemmerer sampler, and in littoral areas using the most benthic sampling method for the substratum type. All samples are subsampled at the domain support facility by filtering on glass-fiber filters then frozen and shipped to an external analytical facility for analysis.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
NEON.DOM.SITE.DP1.20163.001; NEON.DOM.SITE.DP1.20166.001  
Related publications:
 
Keywords:
carbon; phosphorus; benthic; algae; aquatic; benthos; microalgae; suspended; 13C; 15N; 34S; chlorophyll; isotope; nitrogen; phaeophytin; pheophytin; stable isotopes; sulfur  
Dataset ID:
527abc51-d763-4a19-a211-b6d115e02590
Additional Information
File size:
15.1 kB
File type:
CSV  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON Prototype Aquatic Periphyton, Seston, and Phytoplankton Chemical Properties Data from 2014-2016. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_alg_chemistry_2014-2016.zip

NEON prototype bathymetric sonar data from D03 BARC, 2015 and 2017 Ecohydrology Land Cover and Processes
This file contains prototype bathymetric data that has had little or no post processing for higher level data products. Data were collected using the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197]. Review the README and the BAT_Master_OpalFiles.csv file for details regarding the file types associated with this package.
Science theme:
Ecohydrology; Land Cover and Processes  
Locations:
Barco Lake (D03; FL; BARC; [29.676, -82.009])  
Time range:
2015-2017
Abstract:
The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
Methods:
Barco Lake (D03; FL; BARC; [82.009, 29.676])
Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
NEON.DOM.SITE.DP4.00132.001  
Related publications:
 
Keywords:
bathymetry; sonar; side scan; habitat  
Dataset ID:
66204d61-60cb-46ac-9d75-61d03d8442fc
Additional Information
File size:
979.2 MB
File type:
PDF, DAT  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype bathymetric sonar data from D03 BARC, 2015 and 2017. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

D03_BARC_BAT_2015.zip
D03_BARC_BAT_2017.zip

NEON prototype bathymetric sonar data from D03 SUGG, 2014, 2015, and 2016 Ecohydrology Land Cover and Processes
This file contains prototype bathymetric data that has had little or no post processing for higher level data products. Data were collected using the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197]. Review the README and the BAT_Master_OpalFiles.csv file for details regarding the file types associated with this package.
Science theme:
Ecohydrology; Land Cover and Processes  
Locations:
Suggs Lake (D03; FL; SUGG; [29.687, -82.016])  
Time range:
2014-2016
Abstract:
The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
Methods:
Suggs Lake, D03; FL; SUGG
Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.
Responsible Neon Team:
Aquatic Instrumented Systems (AIS)  
Related data products:
NEON.DOM.SITE.DP4.00132.001  
Related publications:
 
Keywords:
bathymetry; sonar; side scan; habitat  
Dataset ID:
eaf81394-b005-4e24-b1b2-93f9c350a6c7
Additional Information
File size:
4.7 GB
File type:
DAT, JPG  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype bathymetric sonar data from D03 SUGG, 2014, 2015, and 2016. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

D03_SUGG_BAT_20140619.zip
D03_SUGG_BAT_20140918.zip
D03_SUGG_BAT_2015a.zip
D03_SUGG_BAT_2015b.zip
D03_SUGG_BAT_2016.zip

NEON prototype bathymetric sonar data from D05 Lake Clara, 2011 Ecohydrology Land Cover and Processes
This file contains prototype bathymetric data that has had little or no post processing for higher level data products. Data were collected using the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197]. Review the README and the BAT_Master_OpalFiles.csv file for details regarding the file types associated with this package.
Science theme:
Ecohydrology; Land Cover and Processes  
Locations:
Lake Clara (D05; WI; N/A; [45.437, -89.487])  
Time range:
2011-2011
Abstract:
The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
Methods:
Lake Clara, D05; WI
Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
NEON.DOM.SITE.DP4.00132.001  
Related publications:
 
Keywords:
bathymetry; sonar; side scan; habitat  
Dataset ID:
09a00d5d-ec6d-4cfd-9ab2-c8bfefae96b8
Additional Information
File size:
2.3 GB
File type:
XML, CSV, XLS, DAT, PNG, GPX, SHP  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype bathymetric sonar data from D05 Lake Clara, 2011. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

D05_CLARA_BAT_2011a.zip
D05_CLARA_BAT_2011b.zip
D05_CLARA_BAT_2011c.zip

NEON prototype bathymetric sonar data from D05 Round Lake, 2016 Ecohydrology Land Cover and Processes
This file contains prototype bathymetric data that has had little or no post processing for higher level data products. Data were collected using the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197]. Review the README and the BAT_Master_OpalFiles.csv file for details regarding the file types associated with this package.
Science theme:
Ecohydrology; Land Cover and Processes  
Locations:
Round Lake (D05; WI; N/A; [45.517, -89.568])  
Time range:
2016-2016
Abstract:
The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
Methods:
Round Lake (D05; WI)
Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
NEON.DOM.SITE.DP4.00132.001  
Related publications:
 
Keywords:
bathymetry; sonar; side scan; habitat  
Dataset ID:
cf36fefc-f6f1-415b-9f1f-76393d5a93fd
Additional Information
File size:
110 MB
File type:
CSV, DAT, KML, PNG  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype bathymetric sonar data from D05 Round Lake, 2016. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

D05_ROUND_BAT_2016.zip

NEON prototype bathymetric sonar data from D05 CRAM, 2015 Ecohydrology Land Cover and Processes
This file contains prototype bathymetric data that has had little or no post processing for higher level data products. Data were collected using the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197]. Review the README and the BAT_Master_OpalFiles.csv file for details regarding the file types associated with this package.
Science theme:
Ecohydrology; Land Cover and Processes  
Locations:
Crampton Lake (D05; WI; CRAM; [46.209, -89.475])  
Time range:
2015-2015
Abstract:
The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
Methods:
Cramptoon Lak, D05; WI; CRAM
Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
NEON.DOM.SITE.DP4.00132.001  
Related publications:
 
Keywords:
bathymetry; sonar; side scan; habitat  
Dataset ID:
be6820c2-4560-46d5-b4ad-7d54bad8639c
Additional Information
File size:
2.2 GB
File type:
XML, DAT, GPX  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype bathymetric sonar data from D05 CRAM, 2015. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

D05_CRAM_BAT_2015a.zip
D05_CRAM_BAT_2015b.zip

NEON prototype bathymetric sonar data from D05 LIRO, 2017 Ecohydrology Land Cover and Processes
This file contains prototype bathymetric data that has had little or no post processing for higher level data products. Data were collected using the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197]. Review the README and the BAT_Master_OpalFiles.csv file for details regarding the file types associated with this package.
Science theme:
Ecohydrology; Land Cover and Processes  
Locations:
Little Rock Lake (D05; WI; LIRO; [45.996, -89.702])  
Time range:
2017-2017
Abstract:
The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
Methods:
Little Rock Lake, D05; WI; LIRO
Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
NEON.DOM.SITE.DP4.00132.001  
Related publications:
 
Keywords:
bathymetry; sonar; side scan; habitat  
Dataset ID:
d58a92b7-78c9-4c59-acb1-4160c7781923
Additional Information
File size:
541.3 MB
File type:
XML, PDF, XLS, DAT, GPX  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype bathymetric sonar data from D05 LIRO, 2017. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

D05_LIRO_BAT_2017.zip

NEON prototype bathymetric sonar data from D18 TOOK, 2017 Ecohydrology Land Cover and Processes
This file contains prototype bathymetric data that has had little or no post processing for higher level data products. Data were collected using the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197]. Review the README and the BAT_Master_OpalFiles.csv file for details regarding the file types associated with this package.
Science theme:
Ecohydrology; Land Cover and Processes  
Locations:
Toolik Lake (D18; AK; TOOK; [68.630, -149.611])  
Time range:
2017-2017
Abstract:
The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
Methods:
Toolik Lake, D18; AK; TOOK
Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
 
Related publications:
 
Keywords:
bathymetry; sonar; side scan; habitat  
Dataset ID:
51abf63a-a67a-4c9b-bfe9-1e596180cf2b
Additional Information
File size:
2.3 GB
File type:
TXT, DAT, PNG  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype bathymetric sonar data from D18 TOOK, 2017. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

D18_TOOK_BAT_2017a.zip
D18_TOOK_BAT_2017b.zip

NEON prototype bathymetric sonar data from D09 PRLA, 2017 Ecohydrology Land Cover and Processes
This file contains prototype bathymetric data that has had little or no post processing for higher level data products. Data were collected using the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197]. Review the README and the BAT_Master_OpalFiles.csv file for details regarding the file types associated with this package.
Science theme:
Ecohydrology; Land Cover and Processes  
Locations:
Prairie Lake (D09; ND; PRLA; [47.159, -99.114])  
Time range:
2017-2017
Abstract:
The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
Methods:
Prairie Lake, D09; ND; PRLA
Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
NEON.DOM.SITE.DP4.00132.001  
Related publications:
 
Keywords:
bathymetry; sonar; side scan; habitat  
Dataset ID:
69ca407c-ebf7-4c71-80e4-13e481dd9aea
Additional Information
File size:
729.9 MB
File type:
DAT  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype bathymetric sonar data from D09 PRLA, 2017. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

D09_PRLA_BAT_2017.zip

NEON prototype bathymetric sonar data from D09 PRPO, 2017 Ecohydrology Land Cover and Processes
This file contains prototype bathymetric data that has had little or no post processing for higher level data products. Data were collected using the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197]. Review the README and the BAT_Master_OpalFiles.csv file for details regarding the file types associated with this package.
Science theme:
Ecohydrology; Land Cover and Processes  
Locations:
Prairie Pothole (D09; ND; PRPO; [47.130, -99.251])  
Time range:
2017-2017
Abstract:
The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
Methods:
Prairie Pothole, D09; ND; PRPO
Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
NEON.DOM.SITE.DP4.00132.001  
Related publications:
 
Keywords:
bathymetry; sonar; side scan; habitat  
Dataset ID:
b553a9ec-3c36-4b17-bff3-4183fda178e7
Additional Information
File size:
342.9 MB
File type:
DAT  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype bathymetric sonar data from D09 PRPO, 2017. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

D09_PRPO_BAT_2017.zip

NEON prototype bathymetric sonar data from D08 BLWA, 2017 Ecohydrology Land Cover and Processes
This file contains prototype bathymetric data that has had little or no post processing for higher level data products. Data were collected using the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197]. Review the README and the BAT_Master_OpalFiles.csv file for details regarding the file types associated with this package.
Science theme:
Ecohydrology; Land Cover and Processes  
Locations:
Black Warrior River (D08; AL; BLWA; [32.542, -87.798])  
Time range:
2017-2017
Abstract:
The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
Methods:
Black Warrior River, D08; AL; BLWA
Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
NEON.DOM.SITE.DP4.00132.001  
Related publications:
 
Keywords:
bathymetry; sonar; side scan; habitat  
Dataset ID:
f49d333b-5c57-4619-ad2e-7a562f6d7b84
Additional Information
File size:
422.7 MB
File type:
TXT, DAT, GPX  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype bathymetric sonar data from D08 BLWA, 2017. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

D08_BLWA_BAT_2017.zip

NEON prototype bathymetric sonar data from D08 TOMB, 2017 Ecohydrology Land Cover and Processes
This file contains prototype bathymetric data that has had little or no post processing for higher level data products. Data were collected using the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197]. Review the README and the BAT_Master_OpalFiles.csv file for details regarding the file types associated with this package.
Science theme:
Ecohydrology; Land Cover and Processes  
Locations:
Lower Tombigbee River (D08; AL; TOMB; [31.835, -88.167])  
Time range:
2017-2017
Abstract:
The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
Methods:
Lower Tombigbee River, D08; AL; TOMB
Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
NEON.DOM.SITE.DP4.00132.001  
Related publications:
 
Keywords:
bathymetry; sonar; side scan; habitat  
Dataset ID:
6ccdd73d-6661-4d6d-aefa-47001c0fe64a
Additional Information
File size:
1 GB
File type:
TXT, DAT, GPX  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype bathymetric sonar data from D08 TOMB, 2017. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

D08_TOMB_BAT_2017.zip

NEON depth profile and secchi data from lakes and rivers, D03 and D09, 2015-2017 Organisms, Populations, and Communities
Depth profile and secchi depth data include temperature, conductivity, and dissolved oxygen data collected at specific depths and secchi depth and euphotic depth data from lakes and rivers. This project includes data from D03 lakes Barco and Suggs, and the Flint River, and D09 Prairie Lake and Prairie Pothole. Data in this package were collected at inlet and outlet locations, while the current NEON data product is collected only at buoy locations.
Science theme:
Organisms, Populations, and Communities  
Locations:
Lake Barco (D03; FL; BARC; [29.676, -82.008]); Lake Suggs (D03; FL; SUGG; [29.688, -82.018]); Flint River (D03; GA; FLNT; [31.185, -84.437]); Prairie Pothole (D09; ND; PRPO; [47.130, -99.253]); Prairie Lake (D09; ND; PRLA; [47.159, -99.114])  
Time range:
2015-2017
Abstract:
This data package contains from NEON's depth profile at specific depths and secchi depth data collected in the field. After 2017, these data are collected only at the buoy location at each site. Data collected at other NEON infrastructure (not the buoy) are provided in this package. Depth profile data include water temperature, conductivity, and dissolved oxygen collected using a YSI handheld meter. Secchi data are collected using a secchi disk during ice-off periods. For additional details, see NEON.DOC.002792 AOS Protocol and Procedure: Secchi Disk and Depth Profile Sampling in Lakes and Non-wadeable Streams.
Methods:
These data were collected at D03 Lake Barco, D03 Lake Suggs, D03 Flint River, and D09 Prairie Lake and D09 Prairie Pothole. All are existing NEON sites, however data for this product are no longer collected at locations other than the buoy at each site.
Depth and secchi data are collected concurrently with all other protocols that sample the water column (i.e., surface water chemistry and stable isotopes, surface water microbes, phytoplankton, zooplankton). Data are collected at the buoy (deepest) location at each NEON lake and river site. Prior to 2017, additional data may have been collected at the inlet and outlet infrastructure locations. Data for the vertical profile are collected using a handheld YSI meter in order to determine thermal stratification of the water body. Stratification determines the sample depth of water chemistry and surface microbe sampling. Secchi data are used to calculate the euphotic zone, used to determine phytoplankton sampling depth. All data for this package are collected in the field and not further processed.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
NEON.DOM.SITE.DP1.20254.001; NEON.DOM.SITE.DP1.20252.001  
Related publications:
 
Keywords:
conductivity; depth; vertical profile; lake; river; secchi; euphotic; metalimnion; stratified; unstratified; temperature; dissolved oxygen  
Dataset ID:
25195e56-7ca6-43ed-9074-125f64c860fa
Additional Information
File size:
26.1 kB
File type:
CSV  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON depth profile and secchi data from lakes and rivers, D03 and D09, 2015-2017. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_D03_D09_depthSecchi_2015-2017.zip

NEON prototype reaeration data from Blue River (BLUE), 2016 Ecohydrology Biogeochemistry
This data package includes field and external laboratory data from gas injection reaeration measurements. This package differs from NEON's typical reaeration data product in that a modified protocol was used due concerns about mixing dificulties and the large amount of salt called for by the usual protocol (NEON.DOC.000693).
Science theme:
Ecohydrology; Biogeochemistry  
Locations:
Blue River (D08; OK; BLUE; [34.444, -96.624])  
Time range:
2016-2016
Abstract:
This data product contains data from a modified version of NEON's wadeable stream reaeration sampling protocol. Due to high discharge and large stream width at BLUE, there was concern that the typical NEON reaeration protocol (NEON.DOC.000693) would require a large amount of salt and wouldn’t allow for sufficient mixing across the stream. This led to the trial of a reaeration bout in August 2016 with the following modifications to the regular protocol: 1. No continuous salt injection was conducted. 2. Discharge was taken at each of the 4 sampling stations to assess ground water inputs instead of using the conservative tracer. 3. A salt slug of NaCl was deployed at the SF6 injection site to assess travel time. Slug solution was deployed in multiple locations to aid with even mixing. 4 HOBO loggers were deployed (one at each station). 4. SF6 was deployed using 4 air stones distributed evenly across the stream. 5. Wetted widths were collected as well as depth measurements. Depth measurements were collected because back-calculating depth would be difficult with the very deep pools, and would likely not capture the more shallow areas where reaeration is occurring in this big river. This data package includes field and external laboratory data from the modified protocol at the Blue River site.
Methods:
The reaeration data product is measured at NEON wadeable stream sites.
In typical NEON reaeration protocol tracer injections of volatile gas are completed to capture a range of flows at NEON wadeable stream sites. The first sampling station is located near sensor set #1 and the fourth sampling station is located near sensor set #2. Sampling stations #2 and #3 are approximately evenly spaced between sampling stations #1 and #4. See the abstract for details on how this package differs from the typical NEON reaeration protocol: Reaeration in Streams [NEON.DOC.000693](http://data.neonscience.org/api/v0/documents/NEON.DOC.000693vH)
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
 
Related publications:
 
Keywords:
conductivity; bromide; aquatic; river; discharge; wetted width; argon; propane; injection; flow; SF6; chloride; velocity; metabolism; streamflow; tracer; travel time; salt; sulfur hexafluoride; deaeration; reaeration rate; stream  
Dataset ID:
07dccab1-4990-4d2f-9c5b-bf97e10517e3
Additional Information
File size:
4.5 MB
File type:
CSV, PDF, TXT  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype reaeration data from Blue River (BLUE), 2016. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_reaeration_BLUE_2016.zip

NEON prototype reaeration data from Kings Creek STREON site (STKG), 2015 Biogeochemistry
Reaeration measurements collected at the Kings Creek STREON Site (STKG). STREON (STReam Experimental Observatory Network) sites were initially designed as a major long-term nutrient addition experiment to intentionally alter stream ecosystems. These sites have since been descoped and data are no longer collected at these locations. This data package includes field and external laboratory data from salt-tracer and gas injection field reaeration measurements.
Science theme:
Biogeochemistry  
Locations:
Kings Creek STREON (D06; KS; SSTKG; [39.105, -96.604])  
Time range:
2015-2015
Abstract:
This data product contains the quality-controlled, native sampling resolution data from NEON's wadeable stream reaeration sampling protocol. Grab samples of stream water at NEON aquatic sites are collected in streams at 4 sampling locations downstream of a continuous injection of an inert gas (SF6) and conservative tracer (NaCl or NaBr). Background samples are collected prior to tracer injection and are analyzed for background salt tracer concentrations. Plateau samples are collected once the tracer concentration reaches a constant concentration (as measured by conductivity) and 5 replicate samples from each station are analyzed for both salt and gas tracer concentrations. Data users should refer to the user guide for reaeration and salt-based discharge ([NEON_ReaerSaltBasedQ_userGuide_vA](http://data.neonscience.org/api/v0/documents/NEON_ReaerSaltBasedQ_userGuide_vA)) for suggestions on how to calculate reaeration rates from the published data packages. For additional details on NEON field and laboratory protocols, see the AOS Protocol and Procedure: Reaeration in Streams [NEON.DOC.000693](http://data.neonscience.org/api/v0/documents/NEON.DOC.000693vH).
Methods:
This data product is measured at NEON wadeable stream sites.
Tracer injections of conservative salt and inert, volatile gas are completed 6-10 times per year to capture a range of flows at NEON wadeable stream sites. The first sampling station is located near sensor set #1 and the fourth sampling station is located near sensor set #2. Sampling stations #2 and #3 are approximately evenly spaced between sampling stations #1 and #4. The injection (drip) station is located far enough upstream of sampling station #1 that the tracer is well mixed within the stream channel for all sampling stations. Conductivity data loggers are located near sampling stations #1 and #4 as well to capture the rising limb and plateau in situ conductivity values. For more information see AOS Protocol and Procedure: Reaeration in Streams [NEON.DOC.000693](http://data.neonscience.org/api/v0/documents/NEON.DOC.000693vH)
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
NEON.DOM.SITE.DP1.20193.001; NEON.DOM.SITE.DP1.20190.001  
Related publications:
 
Keywords:
conductivity; bromide; aquatic; river; discharge; wetted width; argon; propane; injection; flow; SF6; chloride; velocity; metabolism; streamflow; tracer; travel time; salt; sulfur hexafluoride; deaeration; reaeration rate; stream  
Dataset ID:
74a6f8ef-abc0-4599-9fe4-75a5ae5f6a87
Additional Information
File size:
2.9 MB
File type:
CSV, PDF, TXT  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype reaeration data from Kings Creek STREON site (STKG), 2015. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_reaeration_STKG_2015.zip

NEON prototype reaeration data from Mayfield Creek STREON site (STMA), 2014 and 2015 Biogeochemistry
Field and external laboratory data from the salt-tracer and gas injection field reaeration measurements, including stream widths, inert gas concentrations, gas loss rate calculations, and travel time calculations.
Science theme:
Biogeochemistry  
Locations:
Mayfield Creek STREON (D08; AL; STMA; [32.960, -87.408])  
Time range:
2014-2015
Abstract:
This data product contains the quality-controlled, native sampling resolution data from NEON's wadeable stream reaeration sampling protocol. Grab samples of stream water at NEON aquatic sites are collected in streams at 4 sampling locations downstream of a continuous injection of an inert gas (SF6) and conservative tracer (NaCl or NaBr). Background samples are collected prior to tracer injection and are analyzed for background salt tracer concentrations. Plateau samples are collected once the tracer concentration reaches a constant concentration (as measured by conductivity) and 5 replicate samples from each station are analyzed for both salt and gas tracer concentrations. Data users should refer to the user guide for reaeration and salt-based discharge ([NEON_ReaerSaltBasedQ_userGuide_vA](http://data.neonscience.org/api/v0/documents/NEON_ReaerSaltBasedQ_userGuide_vA)) for suggestions on how to calculate reaeration rates from the published data packages. For additional details on NEON field and laboratory protocols, see the AOS Protocol and Procedure: Reaeration in Streams [NEON.DOC.000693](http://data.neonscience.org/api/v0/documents/NEON.DOC.000693vH).
Methods:
This data product is measured at NEON wadeable stream sites.
Reaeration measurements collected at the Mayfield Creek STREON Site (STMA). STREON (STReam Experimental Observatory Network) sites were initially designed as a major long-term nutrient addition experiment to intentionally alter stream ecosystems. These sites have since been descoped and data are no longer collected at these locations. This data package includes field and external laboratory data from salt-tracer and gas injection field reaeration measurements.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
NEON.DOM.SITE.DP1.20193.001; NEON.DOM.SITE.DP1.20190.001  
Related publications:
 
Keywords:
conductivity; bromide; aquatic; river; discharge; wetted width; argon; propane; injection; flow; SF6; chloride; velocity; metabolism; streamflow; tracer; travel time; salt; sulfur hexafluoride; deaeration; reaeration rate; stream  
Dataset ID:
a0759a8d-8f08-4e6e-96c2-d39adae9b8f5
Additional Information
File size:
2.9 MB
File type:
CSV, PDF, TXT  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype reaeration data from Mayfield Creek STREON site (STMA), 2014 and 2015. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_reaeration_STMA_2014-2015.zip

NEON prototype reaeration data from Walker Branch STREON site (STWA), 2015 Biogeochemistry
Reaeration measurements collected at the Walker Branch STREON Site (STCU). STREON (STReam Experimental Observatory Network) sites were initially designed as a major long-term nutrient addition experiment to intentionally alter stream ecosystems. These sites have since been descoped and data are no longer collected at these locations. This data package includes field and external laboratory data from salt-tracer and gas injection field reaeration measurements.
Science theme:
Biogeochemistry  
Locations:
Walker Branch STREON (D07; TN; STWA; [35.957, -84.279])  
Time range:
2015-2015
Abstract:
This data product contains the quality-controlled, native sampling resolution data from NEON's wadeable stream reaeration sampling protocol. Grab samples of stream water at NEON aquatic sites are collected in streams at 4 sampling locations downstream of a continuous injection of an inert gas (SF6) and conservative tracer (NaCl or NaBr). Background samples are collected prior to tracer injection and are analyzed for background salt tracer concentrations. Plateau samples are collected once the tracer concentration reaches a constant concentration (as measured by conductivity) and 5 replicate samples from each station are analyzed for both salt and gas tracer concentrations. Data users should refer to the user guide for reaeration and salt-based discharge ([NEON_ReaerSaltBasedQ_userGuide_vA](http://data.neonscience.org/api/v0/documents/NEON_ReaerSaltBasedQ_userGuide_vA)) for suggestions on how to calculate reaeration rates from the published data packages. For additional details on NEON field and laboratory protocols, see the AOS Protocol and Procedure: Reaeration in Streams [NEON.DOC.000693](http://data.neonscience.org/api/v0/documents/NEON.DOC.000693vH).
Methods:
This data product is measured at NEON wadeable stream sites.
Tracer injections of conservative salt and inert, volatile gas are completed 6-10 times per year to capture a range of flows at NEON wadeable stream sites. The first sampling station is located near sensor set #1 and the fourth sampling station is located near sensor set #2. Sampling stations #2 and #3 are approximately evenly spaced between sampling stations #1 and #4. The injection (drip) station is located far enough upstream of sampling station #1 that the tracer is well mixed within the stream channel for all sampling stations. Conductivity data loggers are located near sampling stations #1 and #4 as well to capture the rising limb and plateau in situ conductivity values. For more information see AOS Protocol and Procedure: Reaeration in Streams [NEON.DOC.000693](http://data.neonscience.org/api/v0/documents/NEON.DOC.000693vH)
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
NEON.DOM.SITE.DP1.20193.001; NEON.DOM.SITE.DP1.20190.001  
Related publications:
 
Keywords:
conductivity; bromide; aquatic; river; discharge; wetted width; argon; propane; injection; flow; SF6; chloride; velocity; metabolism; streamflow; tracer; travel time; salt; sulfur hexafluoride; deaeration; reaeration rate; stream  
Dataset ID:
30a7e31a-eae5-45b2-bc98-f003ac2d0b9d
Additional Information
File size:
2.9 MB
File type:
CSV, PDF, TXT  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype reaeration data from Walker Branch STREON site (STWA), 2015. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_reaeration_STWA_2015.zip

NEON prototype reaeration data from Rio Cupeyes STREON site (STCU), 2014 and 2015 Biogeochemistry
Reaeration measurements collected at the Rio Cupeyes STREON Site (STCU). STREON (STReam Experimental Observatory Network) sites were initially designed as a major long-term nutrient addition experiment to intentionally alter stream ecosystems. These sites have since been descoped and data are no longer collected at these locations. This data package includes field and external laboratory data from salt-tracer and gas injection field reaeration measurements.
Science theme:
Biogeochemistry  
Locations:
Rio Cupeyes STREON, Puerto Rico (D04; AL; STCU; [18.114, -66.987])  
Time range:
2014-2015
Abstract:
This data product contains the quality-controlled, native sampling resolution data from NEON's wadeable stream reaeration sampling protocol. Grab samples of stream water at NEON aquatic sites are collected in streams at 4 sampling locations downstream of a continuous injection of an inert gas (SF6) and conservative tracer (NaCl or NaBr). Background samples are collected prior to tracer injection and are analyzed for background salt tracer concentrations. Plateau samples are collected once the tracer concentration reaches a constant concentration (as measured by conductivity) and 5 replicate samples from each station are analyzed for both salt and gas tracer concentrations. Data users should refer to the user guide for reaeration and salt-based discharge ([NEON_ReaerSaltBasedQ_userGuide_vA](http://data.neonscience.org/api/v0/documents/NEON_ReaerSaltBasedQ_userGuide_vA)) for suggestions on how to calculate reaeration rates from the published data packages. For additional details on NEON field and laboratory protocols, see the AOS Protocol and Procedure: Reaeration in Streams [NEON.DOC.000693](http://data.neonscience.org/api/v0/documents/NEON.DOC.000693vH).
Methods:
This data product is measured at NEON wadeable stream sites.
Tracer injections of conservative salt and inert, volatile gas are completed 6-10 times per year to capture a range of flows at NEON wadeable stream sites. The first sampling station is located near sensor set #1 and the fourth sampling station is located near sensor set #2. Sampling stations #2 and #3 are approximately evenly spaced between sampling stations #1 and #4. The injection (drip) station is located far enough upstream of sampling station #1 that the tracer is well mixed within the stream channel for all sampling stations. Conductivity data loggers are located near sampling stations #1 and #4 as well to capture the rising limb and plateau in situ conductivity values. For more information see AOS Protocol and Procedure: Reaeration in Streams [NEON.DOC.000693](http://data.neonscience.org/api/v0/documents/NEON.DOC.000693vH)
Responsible Neon Team:
Aquatic Instrumented Systems (AIS) ; Aquatic Observational Systems (AOS) ; Terrestrial Instrumented Systems (TIS)  
Related data products:
NEON.DOM.SITE.DP1.20193.001; NEON.DOM.SITE.DP1.20190.001  
Related publications:
 
Keywords:
conductivity; bromide; aquatic; river; discharge; wetted width; argon; propane; injection; flow; SF6; chloride; velocity; metabolism; streamflow; tracer; travel time; salt; sulfur hexafluoride; deaeration; reaeration rate; stream  
Dataset ID:
c7fc783a-c90d-4a60-93b6-9c22430e4381
Additional Information
File size:
2.9 MB
File type:
CSV, PDF, TXT  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype reaeration data from Rio Cupeyes STREON site (STCU), 2014 and 2015. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_reaeration_STCU_2014-2015.zip

NEON soil heat flux (SHF) prototype data, 2013-2014 Atmosphere Biogeochemistry
The self-calibrating SHF versions have the ability to correct for errors caused by differences in thermal conductivity between the plates and the surrounding soil. This should provide a more accurate estimation of SHF, though field studies implementing self-calibrating units and routines are limited and continued investigation is needed. Here, a set of SHF plates are evaluated at NEON’s CVAL outdoor lab. The results are used by NEON in designing configurations which mitigate SHF uncertainties.
Science theme:
Atmosphere; Biogeochemistry  
Locations:
Calibration, Validation and Audit Laboratory (CVAL) Outdoor Laboratory (D10; CO; CVAL; [40.161, -105.168])  
Time range:
2013-2014
Abstract:
The National Ecological Observatory Network (NEON) plans to deploy self-calibrating soil heat flux plates at NEON’s 60 terrestrial research sites. Unlike other types of soil heat flux plates, self-calibrating versions have the ability to correct for errors caused by differences in thermal conductivity between the plates and the surrounding soil. This is done with integrated heaters, well defined heat pulses, and subsequent dynamic adjustments the calibration coefficients of each individual plate. This should provide a more accurate estimation of soil heat flux though field studies implementing self-calibrating units and routines are limited and continued investigation is needed. Here, a set of self-calibrating soil heat flux plates are evaluated in-situ in Nunn clay loam soil at NEON’s calibration and validation outdoor laboratory. The soil heat flux plates were installed 8 cm below the ground surface and the sensor output was recorded at 1 sec intervals. The manufacturer recommended self-calibration procedures were followed, and a short (3 min) heat pulse from the integrated heater was activated every 3.25 hours. Preliminary results show that the in-situ calibration coefficients are 30% lower on average that the original manufacturer supplied calibration coefficient. This was particularly evident after major rain events when soil moisture increased by up to 190% of the pre-rain event soil moisture. During these times, the calibration coefficients were nearly 32% lower than prior to the rain event. Using only the manufacturer supplied calibration coefficients, the soil heat flux is underestimated by up to 100%. We also found that during the calibration cycle, the heat pulse from the integrated heater influences the readings for about 30 min following the calibration cycle. This causes erroneous soil heat flux measurements that should be discarded. These preliminary results are used by NEON in designing configurations which mitigate soil heat flux uncertainties.
Methods:
Calibration, Validation and Audit Laboratory (CVAL) Outdoor Laboratory
The soil heat flux plates were installed 8 cm below the surface. The sensor output was recorded at 1 Hz. Manufacturer recommended self-calibration procedures were followed. A short (3 min) heat pulse from the integrated heater was activated every 3.25 hours. Soil temperature (2 and 6 cm) and soil water content (6 cm) were also measured.
Responsible Neon Team:
Airborne Observation Platform (AOP) ; Terrestrial Instrumented Systems (TIS)  
Related data products:
NEON.DOM.SITE.DP1.00040.001  
Related publications:
 
Keywords:
Soil heat flux; self-calibrating  
Dataset ID:
f025d070-4a39-400f-953d-c760d6e867aa
Additional Information
File size:
398.7 MB
File type:
DOCX, DAT  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON soil heat flux (SHF) prototype data, 2013-2014. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_SoilHeatFluxTest_2013-2014.zip

NEON TIS tripod data, D18 Toolik, 2013-2014 Atmosphere
No weather data is available at a location close to the NEON Toolik site to inform NEON tower orientation and site layout design. Therefore, to minimize the uncertainty in the site design and reduce scientific risk, we set up a portable tripod met station at the NEON Toolik tower site to measure the key climate elements of air temperature, humidity, precipitation, wind vectors for one year from approx. Jan 2013 to early 2014.
Science theme:
Atmosphere  
Locations:
Toolik (D18; AK; TOOL; [68.661, -149.370])  
Time range:
2013-2014
Abstract:
NEON site designs strongly rely on the wind patterns for determining the correct orientation of the tower and sensors. Because we do not have in situ measurements yet at NEON sites, we must rely on historical data from the closest available weather station, which sometimes can be > 30 miles away. In a few NEON locations, these long distances between the closest weather station and the NEON tower site cause large uncertainties and potential risks to NEON’s science goals. In other instances, local topographic conditions can affect our ability to measure winds and climate, which are also not captured in historical data. To minimize the uncertainty and to lower the risks associated with the tower and site design, NEON plans to measure local winds and meteorological conditions with a portable tripod-based weather station at a few selected NEON sites for a limited time (~ 1 y) prior to construction at the site. These sites are selected because of their importance to the overall NEON design, and we think that the historical data is not representative. The Toolik core site is one of these sites.
Methods:
The tripod was set up at a designed NEON tower location at 68.66109⁰, -149.37047⁰. The location is on the top of a ridge. The ecosystem is tussock tundra.
The portable tripod system is a 10’ tall tripod tower structure with grounding kit (Model: CM10). All sensors and infrastructure were mounted on the tripod structure, and included: a 20 W solar power system (a panel and a battery in weatherproof box, model: SP70 and PS84), a temperature and humidity sensor (model: HMP155A) in a radiation shield (model: 41005-5), a precipitation gauge (model: TE525MM), and a 3 dimensional sonic anemometer (Model: CSAT3) to measure wind vectors.
Responsible Neon Team:
Terrestrial Instrumented Systems (TIS)  
Related data products:
NEON.DOM.SITE.DP1.00001.001; NEON.DOM.SITE.DP1.00006.001; NEON.DOM.SITE.DP1.00098.001; NEON.DOM.SITE.DP1.00002.001; NEON.DOM.SITE.DP1.00003.001  
Related publications:
 
Keywords:
Met data; TIS; air temperature; relative humidity; 2D winds; secondary precipitation  
Dataset ID:
5d5895e2-f762-4b09-9685-f04de9a746e6
Additional Information
File size:
0 kB
File type:
DAT  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON TIS tripod data, D18 Toolik, 2013-2014. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

NEON instrument hut air temperature data, D13 MOAB, 2014-2017 Atmosphere
Some scientific instruments have a strong dependence on the environmental temperature. It was unknown how well the air temperature is maintained by the HVAC system inside the instrument hut at the TIS sites, and if the temperature fluctuation violates the science requirements for the instruments inside the hut. To obtain a better understanding, an air temperature monitoring project was performed from approximately October 2014 to February 2017.
Science theme:
Atmosphere  
Locations:
Moab (D13; UT; MOAB; [38.248, -109.388])  
Time range:
2014-2017
Abstract:
See the Project Description
Methods:
Temperature monitoring was set up inside the instrument room at the NEON Moab hut location at 38.24846⁰, -109.38815⁰.
A CR3000 data logger with NL115 storage module and 2G compact flash storage card was used to collect the measurements from three temperature sensors (Thermometrics Climate PRT Probe with 40” cable (NEON P/N 0303550001)). These three temperature sensors were placed in different locations inside the instrument room of the instrument hut. The sample frequency was set to 1 Hz.
Responsible Neon Team:
Terrestrial Instrumented Systems (TIS)  
Related data products:
NEON.DOM.SITE.DP1.00002.001; NEON.DOM.SITE.DP1.00003.001  
Related publications:
 
Keywords:
Met data; TIS; air temperature  
Dataset ID:
f1df917f-79f7-4fba-b7b6-b3b3a9cbdda0
Additional Information
File size:
0 kB
File type:
CSV, DOCX, xlsx, DAT, JPG, PPTX, CR3, SQL  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON instrument hut air temperature data, D13 MOAB, 2014-2017. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

NEON TIS tripod data, D12 Yellowstone, 2013-2015 Atmosphere
No weather data are available at a location close to the NEON Yellowstone site to inform NEON tower orientation and site layout design. Therefore, to minimize the uncertainty in the site design and reduce scientific risk, we set up a portable tripod met station at the NEON Yellowstone tower site to measure the key climate elements of air temperature, humidity, precipitation, and wind vectors for one year from approximately July, 2013 to March, 2015.
Science theme:
Atmosphere  
Locations:
Yellowstone National Park (D12; MT; YELL; [44.953, -110.539])  
Time range:
2013-2015
Abstract:
NEON site designs strongly rely on the wind patterns to determine the correct orientation of the tower and sensors. Because we do not have in situ measurements yet at the NEON sites, we must rely on historical data from the closest available weather station, which sometimes can be > 30 miles away. In a few NEON locations, these long distances between the closest weather station and the NEON tower site cause large uncertainties and potential risks to NEON’s science goals. In other instances, local topographic conditions can affect our ability to measure winds and climate, which are also not captured in historical data. To minimize the uncertainty and to lower the risks associated with the tower and site design, NEON plans to measure local winds and meteorological conditions with a portable tripod-based weather station at a few selected NEON sites for a limited time (~ 1 y) prior to construction at the site. These sites are selected because of their importance to the overall NEON design, and because we think that the historical data are not representative. The Yellowstone core site is one of these sites. This dataset contains all Yellowstone TIS tripod data in the form of a multivolume .zip archive. The .zip.001 and .zip.002 files can be downloaded individually, and need to be in the same folder for extraction with software such as 7-zip. For extraction the software should be pointed only to the .zip.001 volume, and the contents of all subsequent volumes are detected and extracted automatically. Alternatively, it is possible to “select all” during the download operation. However, the resulting .zip container is quite large (~18 GB) and thus more prone to network interruptions. Also, a “headers error” can be expected during initial extraction of the container, and a subsequent extraction of the multivolume archive is still necessary.
Methods:
Tower is set up at designed NEON tower location at 44.95348°, -110.53914°. The location is on the top of a small ridge. The ecosystem is semi-open conifer forest.
The potable tripod system is a 10’ tall tripod tower structure with grounding kit (Model: CM10). All sensors and infrastructure will mount on the tripod structure, and includes; a 20 W solar power system (a panel and a battery in weatherproof box, model: SP20R and BP24), a temperature and humidity sensor (model: HMP155A) in a radiation shield (model: 41005-5), a precipitation gauge (model: TE525MM), and a 3 dimensional sonic anemometer (Model: CSAT3) to measure wind vectors.
Responsible Neon Team:
Terrestrial Instrumented Systems (TIS)  
Related data products:
NEON.DOM.SITE.DP1.00001.001; NEON.DOM.SITE.DP1.00006.001; NEON.DOM.SITE.DP1.00098.001; NEON.DOM.SITE.DP1.00002.001; NEON.DOM.SITE.DP1.00003.001  
Related publications:
 
Keywords:
Met data; TIS; air temperature; relative humidity; 2D winds; secondary precipitation  
Dataset ID:
d1205e26-60ce-4913-8d3f-2d415f0d2df1
Additional Information
File size:
0 kB
File type:
DOCX, DAT  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON TIS tripod data, D12 Yellowstone, 2013-2015. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted Externally

Warning: clicking a link below will navigate to a page outside the Data Portal
https://neondata.sharefile.com/d-sb07bc7b0fe34ab0b
NEON Prototype data: Vegetation structure and canopy chemistry, D17 SJER and SOAP sites, 2013 Organisms, Populations, and Communities Biogeochemistry
This field campaign investigated the logistics and feasibility of making co-located plant measurements that captured landscape- and plot-level variation in plant foliar chemistry (carbon and nitrogen content), plant C and N isotopes, and vegetation structure.
Science theme:
Organisms, Populations, and Communities; Biogeochemistry  
Locations:
San Joaquin Experimental Range (D17; CA; SJER; [37.109, -119.732]); Soaproot Saddle (D17; CA; SOAP; [37.033, -119.262])  
Time range:
2013-2013
Abstract:
A key component of the NEON Science Designs is co-located sampling of a variety of types of ecological data. This prototype dataset contains a number of these ecological data types, collected in June of 2013 at the SJER and SOAP sites in Domain D17 by the Terrestrial Observation System (TOS) before the development of the final standardized protocols. This effort informed development of numerous data products, including Plant foliar physical and chemical properties (DP1.10026), Plant foliar stable isotopes (DP1.10053), and Woody plant vegetation structure (DP1.10098). This prototype field campaign also informed logistics and methods necessary for collocated collection of remote-sensing and ground-based datasets.
Methods:
The Soaproot Saddle site is comprised of 582 hectares of mixed conifer forest in the Sierra Nevadas dominated by ponderosa pine and incense cedar in the overstory, at an elevation of 998 - 1383 m. The San Joaquin Experimental Range is comprised of 1,806 hectares of open woodland dominated by blue and interior live oaks and California foothills pine in the overstory, and ceanothus and manzanita in the shrub layer, at an elevation of 213-518 m.
Plant samples were collected in June of 2013 at the D17 Soaproot Saddle and San Joaquin Experimental Range sites. Plots were established across the landscape according to dominant National Land Cover Database (2009) vegetation types, with plot number per type proportional to area. Within parcels of a given NLCD type, exact plot locations were selected to overlap with coincident NEON Airborne remote sensing observations, and to minimize edge effects with different adjacent vegetation types. The vegetation structure of woody species was characterized via measurements of dbh and canopy height in the field. Following collection in the field, plant samples from tree canopy foliage and ground-level herbaceous biomass were subsampled for analysis of nutrients (carbon and nitrogen content) and isotopes (d13C and d15N). Canopy foliage samples were also analyzed for leaf mass per area. The timing of data collection was coincident with a NEON remote-sensing flight, and plot locations and ground measurements were selected to test integration of NEON ground and remote-sensing data collection efforts across a range of plant community types.
Responsible Neon Team:
Airborne Observation Platform (AOP) ; Terrestrial Observational Systems (TOS)  
Related data products:
NEON.DOM.SITE.DP1.10026.001; NEON.DOM.SITE.DP1.10053.001; NEON.DOM.SITE.DP1.10098.001  
Related publications:
 
Keywords:
biogeochemistry; carbon; nitrogen; d15N; d13C; foliar chemistry; vegetation structure; herbaceous plant chemistry; leaf mass per area  
Dataset ID:
2bde4bda-055c-48df-96bf-d02105aaffdb
Additional Information
File size:
61.9 kB
File type:
CSV  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON Prototype data: Vegetation structure and canopy chemistry, D17 SJER and SOAP sites, 2013. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_D17_vegStructure_vegChem_2013.zip

NEON Alliance vegetation maps for Domain 01 HARV, 2010 Land Cover and Processes Organisms, Populations, and Communities
Alliance Level vegetation maps were commissioned for D01 HARV. The intended use was to prototype and determine the cost/benefit of making highly detailed maps for allocation of plots in a spatially balanced design across the landscape. A companion Domain 10 CPER Alliance map and prototype dataset was also part of this effort.
Science theme:
Land Cover and Processes; Organisms, Populations, and Communities  
Locations:
Harvard Forest (D01; MA; HARV; [42.537, -72.173])  
Time range:
2010-2010
Abstract:
The National Ecological Observatory Network (NEON) contracted Aerial Information Systems (AIS) and their subcontractor, NatureServe, to produce a vegetation map using the US National Vegetation Classification (USNVC) Alliance level for the Harvard Forest and Quabbin Reserve (HFQR) site in Massachusetts. An on-the-ground map validation effort and field survey was performed concurrently with the voucher specimen collection before and during the process of producing the HFQR vegetation map. The final vegetation map represents a cooperative effort between AIS photo interpreters and NatureServe ecologists.
Methods:
The Harvard Forest and Quabbin Reserve (HRQR) study area encompasses 89,500 acres of hardwood and mixed forest located mainly in the Swift River watershed of central Massachusetts. The site includes approximately 38 square miles of the Quabbin Reservoir, Massachusetts’ largest inland water body, located near the towns of Ware, Orange and New Salem.
Field work was planned for three purposes in four separate field trips by NatureServe ecologists. The first visit was a general reconnaissance of the study area. In addition, the purpose of the first visit was to identify alliances of the study area and to compare them against their signatures on aerial photography. The second field visit was made with AIS photo interpreter John Menke to familiarize him with the alliances, their environmental setting, appropriate scale for mapping, and to identify their aerial photo signatures. The third purpose of field work was a map validation phase spread over two field visits in September. In this phase, the draft linework and identification of alliances for each polygon of a portion of the study area was provided by the photo interpreter. Field work was conducted to determine the accuracy of polygon identifications, as well as to provide input on appropriate polygon size (minimum mapping unit) for each alliance. Photo interpreters at AIS utilized high resolution (30-cm) leaf-off imagery from 2009, 1-meter resolution leaf-on National Agriculture Inventory Program imagery from 2005, and heads-up digitizing techniques.
Responsible Neon Team:
Terrestrial Observational Systems (TOS)  
Related data products:
 
Related publications:
 
Keywords:
vegetation map; US National Vegetation Classification; vegetation alliance  
Dataset ID:
cf952085-1bfd-4933-99b5-a42a72a6b101
Additional Information
File size:
63.4 MB
File type:
PDF, TXT, MDB  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON Alliance vegetation maps for Domain 01 HARV, 2010. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_D01_HARV_allianceMapAIS_2010.zip

NEON Alliance and association vegetation maps for Domain 10 CPER, 2010 Land Cover and Processes Organisms, Populations, and Communities
Alliance and association level vegetation maps were commissioned for D10 CPER. The intended use was to prototype and determine the cost/benefit of making highly detailed maps for allocation of plots in a spatially balanced design across the landscape. A companion Domain 01 HARV Alliance map and prototype dataset was also part of this effort.
Science theme:
Land Cover and Processes; Organisms, Populations, and Communities  
Locations:
Central Plains Experimental Range (D10; CO; CPER; [40.816, -104.746])  
Time range:
2010-2010
Abstract:
ESCO Associates was contracted by the National Ecological Observatory Network (NEON) to conduct mapping of the vegetation of the Domain 10 Central Plains Experimental Range (CPER) in 2010. The mapping undertaken for this contract was intended to be done to the Alliance and association levels as per the hierarchy of the US National Vegetation Classification. Field work in support of this mapping was conducted during the period of May to September 2010.
Methods:
The Domain 10 Central Plains Experimental Range (CPER) is located in the northern part of Weld County, Colorado, approximately 23 miles northeast of Fort Collins. The bulk of the vegetation of the CPER is, and long has been regarded as, shortgrass prairie. The pre-dominant presence of blue grama (Bouteloua gracilis) is characteristic of these grasslands with a few exceptions of minor extent. The more extensive of these exceptions are related to 1) the presence of salt-affected soil that reduces the abundance of blue grama or 2) historic cultivation of the soil that has reduced the extent of blue grama to varying degrees.
During initial field visits the variability of vegetation with regard to landform, especially geology and geomorphology, was noted. Therefore, soils mapping data from the Weld County Soil Survey, Northern Part (NRCS 1982) was used as a starting point for distribution of points at which quantitative sampling would document plant species composition and abundance. Initial point distribution proceeded with approximately ten in each of the larger soil units and five in each of the smaller. At each sample site, at 1-meter intervals along a 50-meter transect, point-intercept data were collected 50 cm to the left and 50 cm to the right of the transect for a maximum of 100 possible point intercept hits per transect. Interceptions were tallied by species. This quantitative vegetation data from the field, stratified by soil mapping unit, allowed for vegetation mapping based on soil mapping units.
Responsible Neon Team:
Terrestrial Observational Systems (TOS)  
Related data products:
 
Related publications:
 
Keywords:
vegetation map; US National Vegetation Classification; vegetation alliance; vegetation association; soil mapping unit  
Dataset ID:
a1ca97ce-1412-4cde-ac24-f087df323e21
Additional Information
File size:
71.2 MB
File type:
CSV, PDF, TXT, XLS, DOC, SHP  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON Alliance and association vegetation maps for Domain 10 CPER, 2010. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_D10_CPER_allianceMapESCO_2010.zip

NEON TIS tripod data, D13 Moab, 2011-2012 Atmosphere
No weather data is available at a location close to the NEON Moab site to inform NEON tower orientation and site layout design. Therefore, to minimize the uncertainty in the site design and reduce scientific risk, we set up a portable tripod met station at the NEON Moab tower site to measure the key climate elements of air temperature, humidity, precipitation, wind vectors for one year from approx. June, 2011 to May, 2012.
Science theme:
Atmosphere  
Locations:
Moab (D13; UT; MOAB; [38.248, -109.388])  
Time range:
2011-2012
Abstract:
NEON site designs strongly rely on the wind patterns for determining the correct orientation of the tower and sensors. Because we do not have in situ measurements yet at NEON sites, we must rely on historical data from the closest available weather station, which sometimes can be > 30 miles away. In a few NEON locations, these long distances between the closest weather station and the NEON tower site cause large uncertainties and potential risks to NEON’s science goals. In other instances, local topographic conditions can affect our ability to measure winds and climate, which are also not captured in historical data. To minimize the uncertainty and to lower the risks associated with the tower and site design, NEON plans to measure local winds and meteorological conditions with a portable tripod-based weather station at a few selected NEON sites for a limited time (~ 1 y) prior to construction at the site. These sites are selected because of their importance to the overall NEON design, and we think that the historical data is not representative. The Moab site is one of these sites. The data have been saved in GHG format, which is a type of ZIP file (see https://www.licor.com/env/help/eddypro/topics_eddypro/LI-COR_GHG_File_Format.html). For extraction, a zipping software such as 7zip should be used just as with standard ZIP files. This file is approximately 10 GB. A “headers error” can be expected during initial extraction of the container, but the file should extract normally.
Methods:
Tower is set up at NEON tower location at 38.24833⁰, -109.38827⁰. The terrain is open and flat. The ecosystem is grassland.
The portable tripod system is a 10’ tall tripod tower structure with grounding kit (Model: CM10). All sensors and infrastructure mount on the tripod structure and include; a 20 W solar power system (a panel and a battery in weatherproof box, model: SP20R and BP24), a temperature and humidity sensor (model: HMP155A) in a radiation shield (model: 41005-5), a precipitation gauge (model: TE525MM), and a 3 dimensional sonic anemometer (Model: CSAT3) to measure wind vectors.
Responsible Neon Team:
Terrestrial Instrumented Systems (TIS)  
Related data products:
NEON.DOM.SITE.DP1.00001.001; NEON.DOM.SITE.DP1.00006.001; NEON.DOM.SITE.DP1.00098.001; NEON.DOM.SITE.DP1.00002.001  
Related publications:
 
Keywords:
Met data; TIS; air temperature; relative humidity; 2D winds; secondary precipitation  
Dataset ID:
5bc8ba52-2c53-450c-80c3-93587351d0c7
Additional Information
File size:
0 kB
File type:
DOCX, xlsx, DAT  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON TIS tripod data, D13 Moab, 2011-2012. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted Externally

Warning: clicking a link below will navigate to a page outside the Data Portal
https://neondata.sharefile.com/d-sbd448079a0e47768
NEON eddy covariance turbulence exchange system testing at Table Mountain Test Bed, CO, 2010-2011 Atmosphere
Prototype eddy covariance turbulence exchange system to get a better understanding prior to the Engineering design. The test was performed Sep, 2010 – Jul, 2011.
Science theme:
Atmosphere  
Locations:
Table Mountain (D10; CO; NA; [40.126, -105.236])  
Time range:
2010-2011
Abstract:
See Project Description for information about this project. The data have been saved in GHG format, which is a type of ZIP file (see https://www.licor.com/env/help/eddypro/topics_eddypro/LI-COR_GHG_File_Format.html). For extraction, a zipping software such as 7zip should be used just as with standard ZIP files. This file is approximately 10 GB. A “headers error” can be expected during initial extraction of the container, but the file should extract normally.
Methods:
40.125944⁰, -105.236472⁰. Tower at Table Mountain Test Bed.
A CR3000 data logger with NL115 storage module and 2G compact flash storage card was used to collect the measurements; a LICOR LI7000 closed-path IRGA; a Campbell Scientific CSAT3 3D sonic anemometer. Pump and mass flow controller were housed inside weatherproof enclosures. Sample frequency was 10 Hz. 4 gas cylinders with known CO2 values were used for periodic calibrations.
Responsible Neon Team:
Terrestrial Instrumented Systems (TIS)  
Related data products:
NEON.DOM.SITE.DP1.00007.001; NEON.DOM.SITE.DP1.00034.001; NEON.DOM.SITE.DP1.00035.001  
Related publications:
 
Keywords:
TIS; Eddy covariance; sonic temperature; CO2 Concentration; H2O Concentration  
Dataset ID:
56f18586-b094-4e28-bb16-409b4d2ed37f
Additional Information
File size:
0 kB
File type:
xlsx, DAT, CR3  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON eddy covariance turbulence exchange system testing at Table Mountain Test Bed, CO, 2010-2011. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted Externally

Warning: clicking a link below will navigate to a page outside the Data Portal
https://neondata.sharefile.com/d-sdd01db27a0b4f12b
NEON infrared gas analyzer data, Niwot Ridge AmeriFlux site (US-NR1), 2013 – 2014 Atmosphere
A comprehensive field experiment under various environmental conditions was performed from July 2013 to September 2014. This enabled testing the integral performance of a fast infrared gas analyzer (IRGA) and gas sampling system (GSS) under field conditions. From this data the optimal setting of intake tube and particle filter heating were determined, incl. under conditions of high relative humidity.
Science theme:
Atmosphere  
Locations:
Niwot Ridge (D13; CO; US-NR1 (http://ameriflux.lbl.gov/sites/siteinfo/US-NR1); [40.033, -105.546])  
Time range:
2013-2014
Abstract:
Eddy-covariance measurements are often used to directly monitor the surface-atmosphere exchange of shear, heat and trace gases between an ecosystem and the atmosphere. For this purpose high-frequency (≥10 Hz) data streams of a 3-D sonic anemometer and an IRGA are combined. However, if a GSS is used to sample air at a pre-defined location and to transport it to an IRGA for analysis, high-frequency spectral corrections can exceed 20% of the uncorrected values. NEON staff, in collaboration with scientists at LI-COR, Inc. and University of Colorado Boulder, conducted a study to evaluate the impacts of individual components of the GSS (e.g., particulate filter, rain cap, etc.) on eddy-covariance system performance. The objective was to determine an optimal combination of IRGA and GSS that (i) maximizes system practicability, and (ii) minimizes high-frequency spectral losses. This dataset contains all IRGA in-situ test data in the form of a multivolume .zip archive. The .zip.001, .zip.002 etc. files can be downloaded individually, and need to be in the same folder for extraction with software such as 7-zip. For extraction the software should be pointed only to the .zip.001 volume, and the contents of all subsequent volumes are detected and extracted automatically. Alternatively, it is possible to “select all” during the download operation. However, the resulting .zip container is quite large (~40 GB) and thus more prone to network interruptions. Also, a “headers error” can be expected during initial extraction of the container, and a subsequent extraction of the multivolume archive is still necessary.
Methods:
The IRGA and GSS were set up at the Niwot Ridge US-NR1 AmeriFlux site (http://ameriflux.ornl.gov/fullsiteinfo.php?sid=34), which is located in the Rocky Mountains, Colorado, USA (-105.5464°, 40.0329°; 3050m elevation). The forest near the tower is around 110 years old, and primarily composed of subalpine fir (Abies lasiocarpa var. bifolia), lodgepole pine (Pinus contorta) and Englemann spruce (Picea engelmannii).
A LI-7200-enclosed IRGA (LI-COR Biosciences, Lincoln, NE, USA, S/N 72H-0192 until 2 November 2013, S/N 72H-0479 thereafter, both firmware v6.5.2) was deployed on the US-NR1 tower at 21.5m above ground, equivalent to 13.7m above the displacement height. The measurements were performed with a flow rate setting of 10.8 SLmin−1. Data were collected at a 20 Hz sample rate and 10 Hz bandwidth settings using the LI-7550 analyzer interface.
Responsible Neon Team:
Terrestrial Instrumented Systems (TIS)  
Related data products:
NEON.DOM.SITE.DP1.00034.001; NEON.DOM.SITE.DP1.00035.001; NEON.DOM.SITE.DP4.00067.001; NEON.DOM.SITE.DP4.00137.001  
Related publications:
Metzger, S., Burba, G., Burns, S. P., Blanken, P. D., Li, J., Luo, H., and Zulueta, R. C.: Optimization of an enclosed gas analyzer sampling system for measuring eddy covariance fluxes of H2O and CO2, Atmos. Meas. Tech., 9, 1341-1359, doi:10.5194/amt-9-1341-2016, 2016.  
Keywords:
carbon dioxide; eddy-covariance; AmeriFlux; frequency response; infrared gas analyzer; IRGA; Niwot Ridge; water vapor  
Dataset ID:
9be020b8-d1ce-41b2-be7f-95604e88009f
Additional Information
File size:
0 kB
File type:
GHG  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON infrared gas analyzer data, Niwot Ridge AmeriFlux site (US-NR1), 2013 – 2014. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted Externally

Warning: clicking a link below will navigate to a page outside the Data Portal
https://neondata.sharefile.com/d-sc64241b048549479
NEON sonic anemometer and inertial navigation system data, NEON Headquarters, 2014 Atmosphere
A field experiment was performed under various environmental conditions from October to November 2014. This enabled testing the applicability of miniaturized inertial navigation systems (INS) for correcting boom oscillations and tracking sonic anemometer alignment. Based on this data an INS was selected for routine deployment as part of the NEON eddy-covariance sensor subsystem.
Science theme:
Atmosphere  
Locations:
NEON Headquarters (D10; CO; NA; [40.017, -105.246])  
Time range:
2014-2014
Abstract:
Eddy-covariance measurements are often used to directly monitor the surface-atmosphere exchange of shear, heat and trace gases between an ecosystem and the atmosphere. For this purpose high-frequency (≥10 Hz) data streams of a 3-D sonic anemometer and an infrared gas analyzer are combined. Depending on the specifics of each site and installation, the sonic anemometer wind measurement can be prone to distortions exceeding 10% of the uncorrected values. Examples are excessive transducer shadowing at sloped sites due to large angle of attack relative to the average flow lines, as well as oscillations of tower and boom support structures. NEON staff conducted a study to evaluate the applicability of INSs for tracking sonic anemometer alignment during angled deployment at sloped sites to align with the horizontal flow lines, and for correcting tower and boom oscillations. This dataset contains all sonic anemometer and INS in-situ test data in the form of a multivolume .zip archive. The .zip.001, .zip.002 files can be downloaded individually, and need to be in the same folder for extraction with software such as 7-zip. For extraction the software should be pointed only to the .zip.001 volume, and the contents of all subsequent volumes are detected and extracted automatically. Alternatively, it is possible to “select all” during the download operation. However, the resulting .zip container is quite large (~15 GB) and thus more prone to network interruptions. Also, a “headers error” can be expected during initial extraction of the container, and a subsequent extraction of the multivolume archive is still necessary. The archive includes three folders “3dsonic”, “sbg”, and “xsens”, each containing hourly .csv.gz files for one of the three principal instruments, compressed in the GNU zip format. These can be extracted with software like 7-zip or directly read using common data analysis environments such as the R language for Statistical Computing [base::read.table()].
Methods:
The sonic anemometer and INSs were set up at the NEON Headquarters mock-up tower, which is located in Boulder, Colorado, USA (-105.2457°, 40.0167°; 1602 m elevation). The canopy near the tower consists of build-up structures to the east (~5 m high) and south (~10 m high), and a parking lot interspersed with few deciduous trees (~10 m high).
Two INSs (MTi-G-700, Xsens North America Inc., Culver City, California, USA, S/N 077003C3; Ellipse-N, SBG Systems, Rueil-Malmaison, France, S/N 042000014) were mounted on a CSAT-3 sonic anemometer (Campbell Scientific Inc., Logan, Utah, USA, S/N 2099). The combined system was deployed at 8.5m above ground and data were collected at 40 Hz and 20 Hz sample rate for INSs and sonic anemometer, respectively.
Responsible Neon Team:
Terrestrial Instrumented Systems (TIS)  
Related data products:
NEON.DOM.SITE.DP1.00010.001; NEON.DOM.SITE.DP1.00007.001; NEON.DOM.SITE.DP4.00067.001; NEON.DOM.SITE.DP4.00137.001; NEON.DOM.SITE.DP4.00201.001; NEON.DOM.SITE.DP4.00007.001; NEON.DOM.SITE.DP4.00002.001  
Related publications:
 
Keywords:
eddy-covariance; frequency response; alignment; attitude; flux; GPS; IMU; INS; motion; oscillation; sonic anemometer  
Dataset ID:
31ac1211-9782-44ee-a9fd-ff47e725ca98
Additional Information
File size:
0 kB
File type:
CSV, DOCX  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON sonic anemometer and inertial navigation system data, NEON Headquarters, 2014. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted Externally

Warning: clicking a link below will navigate to a page outside the Data Portal
https://neondata.sharefile.com/d-s0d3bd148c2b47918
NEON sonic anemometer blocking error experiment, NEON Headquarters, 2014 Atmosphere
Theoretical formulations were used to determine a range of positions between the sonic anemometer and the gas analyzer that minimize the sum of (i) decorrelation error and (ii) wind blocking error. Subsequently, the blocking error induced by the presence of the gas sampling system was experimentally tested for a range of wind directions to verify the model-predicted placement.
Science theme:
Atmosphere  
Locations:
NEON Headquarters (D10; CO; NA; [40.017, -105.246])  
Time range:
2014-2014
Abstract:
The eddy-covariance technique is widely applied to observe the exchange of energy and scalars between the earth’s surface and its atmosphere. In practice, fast (≥10 Hz) sonic anemometry and enclosed infrared gas spectroscopy are used to determine fluctuations in the 3-D wind vector and trace gas concentrations, respectively. Here, two contradicting requirements need to be fulfilled: (i) the sonic anemometer and trace gas analyzer should sample the same air volume, while (ii) the presence of the gas analyzer should not affect the wind field measured by the 3-D sonic anemometer. To determine the optimal positioning of these instruments with respect to each other, a trade-off study was performed. Theoretical formulations were used to determine a range of positions between the sonic anemometer and the gas analyzer that minimize the sum of (i) decorrelation error and (ii) wind blocking error. Subsequently, the blocking error induced by the presence of the gas sampling system was experimentally tested for a range of wind directions to verify the model-predicted placement: In a controlled environment the sonic anemometer was placed in the directed flow from a fan outfitted with a large shroud, with and without the presence of the enclosed gas analyzer and its sampling system. Sonic anemometer data from the experiment trials are compressed into a .zip archive. The data can be extracted with software such as 7-zip. The data are separated into 2 trials with “IRGA” and “noIRGA” subfolders. In each subfolder, there are comma-separated values (csv) files that correspond to the incident wind angle (0-350 degrees) and the Cartesian axis of the wind component (x, y, and z), i.e. “10_x.csv”
Methods:
The experiment was set up inside a controlled environment of a closed room. A large fan outfitted with a shroud was used to provide incident wind flow at ~2.1 m/s. The setting for the fan was consistent throughout the whole test period. The Fan and shroud were located at a fixed location throughout the test period.
In a controlled environment the sonic anemometer was placed in the directed flow from a fan outfitted with a large shroud, with and without the presence of the enclosed gas analyzer and its sampling system. A unit circle was affixed to the floor with lines passing through origin and 0°, 90°, 180°, 270°, respectively, and with lines between 0° to 90° and between 270° to 0° with 10° increments. The wind flow generated by the fan blew from 0° to 180°. Various incident wind directions were achieved by moving instrumentation assembly based on the unit circle where 180o is wind coming from directly in front of the sensor.
Responsible Neon Team:
Aquatic Observational Systems (AOS) ; Terrestrial Instrumented Systems (TIS) ; Terrestrial Observational Systems (TOS)  
Related data products:
NEON.DOM.SITE.DP1.00007.001; NEON.DOM.SITE.DP4.00007.001  
Related publications:
 
Keywords:
eddy-covariance; alignment; flux; sonic anemometer; blocking error; wind distortion  
Dataset ID:
4cfa62a0-619d-4310-b349-6dcf7a0edb61
Additional Information
File size:
68 MB
File type:
CSV, DOCX  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON sonic anemometer blocking error experiment, NEON Headquarters, 2014. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON-HQ_sonic_blocking_error_2014.zip

NEON Storm Peak Lab (STPK) site characterization data for heated sonic anemometer testing, 2016 Atmosphere
The Storm Peak Laboratory in Steamboat Springs, CO was meant to be the test site for a heated sonic anemometer design. In preparation for testing, a sonic anemometer, a camera, and a temperature/relative humidity sensor were placed at on tower above the observation deck to monitor observe the seasonal flow lines and monitor for frost conditions.
Science theme:
Atmosphere  
Locations:
STPK (D13; CO; NA; [40.455, -106.744])  
Time range:
2016-2016
Abstract:
The eddy-covariance technique is widely applied to observe the exchange of energy and scalars between the earth’s surface and its atmosphere. Extreme icing conditions present difficulties in collecting robust data due to sensor path of the sonic anemometer being blocked. In order to evaluate potential algorithms to activate sensor heating, an experiment was performed at the Storm Peak Laboratory. Hoar frost and occasional rime icing are observed at this location, so to explore the impact of icing on wind flow measurements a camera, an inertial motion sensor, a humidity/temperature probe, and sonic anemometer were deployed at the site to characterize wind flow patterns at the site.
Methods:
Storm Peak Laboratory is a permanent mountain-top facility used for research and training in the Rocky Mountains of northwestern Colorado. Per their website, it is ideally situated for in-cloud measurements, this facility enables greater understanding and characterization of the meteorological processes than are otherwise not available elsewhere.
To test and optimize a NEON developed ice detection algorithm using a manufacturer customized heated sonic anemometer, a site characterization measurement campaign was designed. The experiment was designed to determine the typical seasonal flow lines at a site using a sonic anemometer, an inertial motion sensor, a camera, and a temperature/relative humidity sensor.
Responsible Neon Team:
Terrestrial Instrumented Systems (TIS)  
Related data products:
NEON.DOM.SITE.DP1.00007.001; NEON.DOM.SITE.DP4.00007.001  
Related publications:
 
Keywords:
eddy-covariance; alignment; flux; sonic anemometer; wind distortion; Hoar frost; Rime ice  
Dataset ID:
ec3f7042-4db0-4db4-a9d2-c0b2df1bc6b9
Additional Information
File size:
0 kB
File type:
CSV, DOCX  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON Storm Peak Lab (STPK) site characterization data for heated sonic anemometer testing, 2016. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted Externally

Warning: clicking a link below will navigate to a page outside the Data Portal
https://neondata.sharefile.com/d-se55fee41e2946daa
NEON Prototype Geomorphology Data, POSE 2015 Ecohydrology
This data package includes initial test data for NEON geomorphology protocol at the Posey Creek site.
Science theme:
Ecohydrology  
Locations:
Posey Creek (D02; VA; POSE; [-78.147, 38.893])  
Time range:
2015-2015
Abstract:
This package provides raw survey data that quantifies stream channel geomorphology within the aquatic reach boundaries of NEON Posey Creek wadeable stream site. This survey was conducted as part of testing process for initial NEON geomorphology protocol (NEON.DOC.003162).
Methods:
This data is collected at NEON Posey Creek wadeable stream site.
Raw survey data was collected with a high-resolution Hilti POS 180 robotic total station between the aquatic reach boundaries. For this initial test data, a smaller portion of the sampling reach was surveyed (<200m). All survey data is reported at the temporal resolution of a single survey, which, depending on the complexity of the aquatic reach and/or environmental conditions during the survey, can last 3-10 days. This survey began on July 15, 2015.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
 
Related publications:
 
Keywords:
Geomorphology; survey; total station; stream morphology  
Dataset ID:
1fc26760-8803-477f-a9f8-b16e8332ef08
Additional Information
File size:
0 kB
File type:
CSV, PDF  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON Prototype Geomorphology Data, POSE 2015. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

NEON Prototype Geomorphology Data, KING 2016 Atmosphere Ecohydrology
This data package includes initial test data for NEON geomorphology protocol at the Kings Creek site.
Science theme:
Atmosphere; Ecohydrology  
Locations:
King Creek (D06; KS; KING; [39.105, -96.603])  
Time range:
2016-2016
Abstract:
This package provides raw survey data that quantifies stream channel geomorphology within the aquatic reach boundaries of NEON Kings Creek wadeable stream site. This survey was conducted as part of testing process for initial NEON geomorphology protocol (NEON.DOC.003162). The package includes raw survey data, benchmark transformations using the Columbian Habitat Monitoring Program (CHaMP) transformation tool, and kmz map files for the projected survey and benchmark points. The CHaMP tool preserves relative accuracy of the survey with an affine transformation and worked as an add-in for ArcGIS 10.1. Three projected GPS benchmark coordinates were used to interactively select the most appropriate transformation method based on a combination of visual inspection and residual error calculations.
Methods:
This data was collected at NEON Kings Creek wadeable stream site.
Raw survey data was collected with a high-resolution Hilti POS 180 robotic total station between the aquatic reach boundaries (approximately 1,000 meters in stream length). All survey data is reported at the temporal resolution of a single survey, which, depending on the complexity of the aquatic reach and/or environmental conditions during the survey, can last 3-10 days. This survey began on November 2, 2016.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
 
Related publications:
 
Keywords:
Geomorphology; survey; total station; stream morphology  
Dataset ID:
317858bf-c584-4f6b-926b-db8bb45aaea1
Additional Information
File size:
1.6 MB
File type:
CSV, PDF, kmz  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON Prototype Geomorphology Data, KING 2016. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_GeomorphologyPrototype_KING_2016.zip

NEON Prototype Geomorphology Data, ARIK 2015 Ecohydrology
This data package includes initial test data for NEON geomorphology protocol at the Arikaree River site.
Science theme:
Ecohydrology  
Locations:
Arikaree River (D10; CO; ARIK; [39.758, -102.447])  
Time range:
2015-2015
Abstract:
This package provides raw survey data that quantifies stream channel geomorphology within the aquatic reach boundaries of NEON Arikaree River wadeable stream site. This survey was conducted as part of testing process for initial NEON geomorphology protocol (NEON.DOC.003162). The package includes raw survey data and benchmarks transformed to real-world UTM coordinates.
Methods:
This data is collected at NEON Arikaree River wadeable stream site.
Raw survey data is collected with a high-resolution Hilti POS 180 robotic total station between the aquatic reach boundaries (approximately 1,000 meters in stream length). All survey data is reported at the temporal resolution of a single survey, which, depending on the complexity of the aquatic reach and/or environmental conditions during the survey, can last 3-10 days. This survey began on May 12, 2015.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
 
Related publications:
 
Keywords:
Geomorphology; survey; total station; stream morphology  
Dataset ID:
64ecab04-33aa-4de3-9b88-112d839d6115
Additional Information
File size:
1.7 MB
File type:
CSV, PDF  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON Prototype Geomorphology Data, ARIK 2015. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_GeomorphologyPrototype_ARIK_2015.zip

NEON herbaceous biomass and leaf area index (LAI) prototype data, D10 CPER site, 2011 Organisms, Populations, and Communities
This field campaign investigated several different methods of measuring LAI (digital hemispherical photos versus LAI-2200 fish-eye optical sensor) in herbaceous vegetation, co-located with aboveground herbaceous biomass and vegetation structure sampling as well as belowground biomass.
Science theme:
Organisms, Populations, and Communities  
Locations:
Central Plains Experimental Range (D10; CO; CPER; [40.816, -104.746])  
Time range:
2011-2011
Abstract:
This prototype dataset contains data collected in the early stages of development of protocols for measurement of leaf area index and herbaceous biomass. The data provide an opportunity to compare LAI measurements derived from digital hemispherical photos versus those derived from an LAI-2200 fish-eye optical sensor, all in the context of herbaceous vegetation structure and aboveground and belowground biomass measurements. Based on this prototype and alignment with LAI protocols from the Canada Centre for Remote Sensing, digital hemispherical photos were selected as the method for estimating LAI across the Observatory. The data collected in this prototype dataset are most closely related to the ongoing Digital hemispheric photos of plot vegetation (DP1.10017), Herbaceous clip harvest (DP1.10023), and Root sampling tower plots (DP1.10067) data products.
Methods:
The study area was the NEON Central Plains Experimental Range (CPER) grassland site, adjacent to the NEON Tower. The vegetation at CPER is dominated by Bouteloua gracilis and Bouteloua dactyloides. A related NEON prototype dataset had compiled soils data and mapped vegetation down to the level of National Vegetation Classification association (NEON Alliance and association vegetation maps for Domain 10 CPER, 2010; Dataset ID a1ca97ce-1412-4cde-ac24-f087df323e21). The four transects in the present study were mapped as belonging to the Bouteloua gracilis association. The soil order is Mollisol, subgroup Aridic argiustolls, and series Ascalon.
Four 300m transects were established in the NEON Tower footprint. At regular intervals along transects herbaceous biomass, herbaceous vegetation structure, and leaf area index (LAI) were measured. Digital hemispherical photos were acquired on the 16th of June of 2011 using a Nikon D300s camera and a 10.5 mm Nikon DX Fisheye lens. The camera was held at waist height with a monopod, and perpendicular to the ground, using bubble levels as guides. GPS metadata were acquired for each photo. All photographs were collected with the photographer oriented toward the sun, thus minimizing shadows in the images. Images were acquired in pairs spaced every 10 m along transect center lines. For each image pair, one image was taken 3 m to the left of the center line, and another was taken 3 m to the right of the center line. The sky was partly cloudy and the majority of images were collected with direct sunlight on the foliage. LAI measurements were also collected with a LICOR LAI-2200 fish-eye optical sensor in June and September of 2011. Herbaceous vegetation structure, aboveground biomass, and belowground biomass measurements were made in May and June of 2011 at 50 m intervals along the transects, inside and outside of grazing exclosures. The vegetation structure and aboveground biomass measurements were repeated in August of 2011.
Responsible Neon Team:
Terrestrial Observational Systems (TOS)  
Related data products:
 
Related publications:
 
Keywords:
leaf area index; biomass; vegetation structure; digital hemispherical photos; root biomass; belowground biomass  
Dataset ID:
8ba88b9f-abb0-4388-a755-f79958da3940
Additional Information
File size:
33.1 kB
File type:
CSV  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON herbaceous biomass and leaf area index (LAI) prototype data, D10 CPER site, 2011. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_D10_CPER_LAI_biomass_2011.zip

NEON vegetation characterization data from multiple sites, 2015 - 2017 Organisms, Populations, and Communities
Preliminary survey of plant diversity and structure.
Science theme:
Organisms, Populations, and Communities  
Locations:
Abby Road (D16; WA; ABBY; [45.762, -122.330]); Blandy Experimental Farm (D02; VA; BLAN; [39.060, -78.072]); Caribou Creek - Poker Flats Watershed (D19; AK; BONA; [65.154, -147.503]); LBJ National Grassland (D11; TX; CLBJ; [33.401, -97.570]); Delta Junction (D19; AK; DEJU; [63.881, -145.751]); Dead Lake (D08; AL; DELA; [32.542, -87.804]); Great Smoky Mountains National Park, Twin Creeks (D07; TN; GRSM; [35.689, -83.502]); Healy (D19; AK; HEAL; [63.876, -149.213]); Jornada LTER (D14; NM; JORN; [32.591, -106.843]); Konza Prairie Biological Station (D06; KS; KONZ; [39.101, -96.563]); Lenoir Landin (D08; AL; LENO; [31.854, -88.161]); Mountain Lake Biological Station (D07; VA; MLBS; [37.378, -80.525]); Moab (D13; UT; MOAB; [38.248, -109.388]); Niwot Ridge Mountain Research Station (D13; CO; NIWO; [40.054, -105.582]); Dakota Coteau Field School (D09; ND; DCFS; [47.162, -99.107]); Northern Great Plains Research Laboratory (D09; ND; NOGP; [46.770, -100.915]); Klemme Range Research Station (D11; OK; OAES; [35.411, 99.059]); Rocky Mountain National Park, CASTNET (D10; CO; RMNP; [40.276, -105.546]); Smithsonian Environmental Research Center (D02; MD; SERC; [38.890, -76.560]); San Joaquin Experimental Range (D17; CA; SJER; [37.109, -119.732]); Soaproot Saddle (D17; CA; SOAP; [37.033, -119.262]); Santa Rita Experimental Range (D14; AZ; SRER; [31.911, -110.835]); Steigerwaldt Land Services (D05; WI; STEI; [45.509, -89.586]); Lower Teakettle (D17; CA; TEAK; [37.006, -119.006]); Toolik (D18; AK; TOOL; [68.661, -149.370]); Treehaven (D05; WI; TREE; [45.494, -89.586]); The University of Kansas Field Station (D06; KS; UKFS; [39.040, -95.192]); Wind River Experimental Forest (D16; WA; WREF; [45.820, -121.952]); Barrow Environmental Observatory (D18; AK; BARR; [71.282, -156.619])  
Time range:
2015-2017
Abstract:
In advance of initiating sampling at each NEON site, surveys of plant presence, abundance and biomass were conducted in the Tower airshed. The data collected were used to 1) test measurement protocols, 2) evaluate effect of plot size biomass estimates, 3) generate initial species lists, and 4) select species for plant phenology observation. Data were collected by NEON personnel, within established Tower plots. Only three Tower plots at each site will be surveyed for diversity in full NEON Operations. See the NEON Site characterization reports for more details about this dataset.
Methods:
This prototype dataset spans many different NEON sites.
All diversity surveys were conducted within the nested subplot 'Peet plot' design, species abundance was reported as percent cover within one to four 1 m2 sampling areas in each plot; species presence/absence for all additional species was reported within the 10-100 m2 subplot. Data were collected according to the same protocol used for the plant diversity data product but without measurement of height, potentially fewer cover classifications for variables other than vascular plants, and only one of the larger sampling areas (10 m2 or 100 m2) was used to search for novel species not found in the 1 m2 area assessed for percent cover.
Responsible Neon Team:
Terrestrial Observational Systems (TOS)  
Related data products:
NEON.DOM.SITE.DP1.10058.001  
Related publications:
 
Keywords:
species abundance; plant diversity; plant phenology; percent cover  
Dataset ID:
310351cc-8d99-42f2-8d20-d46921b766ed
Additional Information
File size:
682 kB
File type:
CSV  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON vegetation characterization data from multiple sites, 2015 - 2017. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_diversity_vegCharacterization_2015-2017.zip

NEON vegetation structure and leaf area index (LAI) prototype data, D03 OSBS Florida, 2010 Organisms, Populations, and Communities
In this prototype dataset stems with a height ≥ 1 m were mapped, identified to species, and measured for DBH and canopy diameter in a 120 m x 20 m plot near the NEON OSBS Tower. Leaf Area Index (LAI) was also measured along multiple 500 m transects every 10 m with a LAI-2200. Similar data were collected from a nearby Slash Pine plantation (Donaldson Tract site).
Science theme:
Organisms, Populations, and Communities  
Locations:
Ordway-Swisher Biological Station (D03; FL; OSBS; [29.689, -81.993])  
Time range:
2010-2010
Abstract:
Leaf Area Index and vegetation structure data were collected from north Florida in NEON’s Domain 03 in August-September 2010 by NEON Terrestrial Observation System (TOS) staff while participating in a joint NEON TOS and airborne remote-sensing pathfinder campaign. For the NEON TOS, the primary objective associated with the field campaign was to collect ground-truth measurements of leaf area index (LAI) and vegetation structure for integration with and calibration of remotely-sensed data.
Methods:
Leaf Area Index (LAI) and vegetation structure data were collected from two distinct forest ecosystems: a sandhill ecosystem dominated by Long-Leaf Pine (Pinus palustris) and Turkey Oak (Quercus laevis) that overlaps the tower airshed at the Ordway-Swisher (OSBS) D03 core site, and an even-aged, mid-rotation Slash Pine (Pinus elliottii) plantation putatively planted in 1992 that is located within the Donaldson Tract at the Austin-Cary Memorial Forest and managed by the University of Florida. The sandhill ecosystem at Ordway-Swisher was selected because the NEON tower is currently located within this vegetation type, and a managed pine plantation was selected in order to develop calibration techniques across airborne and terrestrial data within the context of a putatively simple ecosystem in which LAI and vegetation structure could easily be measured from only one tree species.
Leaf Area Index (LAI) data were collected August-September 2010 from eight 500 m length transects at Ordway-Swisher and from four 500 m length transects at the Donaldson Tract. Measurement of LAI using LI-COR LAI-2200 wands fitted with a 90 degree view-cap occurred at 10 m intervals along each transect during pre-dawn and dusk time periods, corresponding to 10:15–11:15 and 23:45–00:30 UTC. Vegetation structure data from Ordway-Swisher were collected 11-13 August 2010 from a 120 m x 20 m plot that overlapped the first 120-m of LAI transect OS01. The temporary Vegetation Structure plot was adjacent to the present day site of the NEON tower at the D03 OSBS site. Vegetation structure data from the Donaldson Tract were collected 10 August 2010 from two transects that paralleled two different rows of planted Pinus elliottii that encompassed a total of 100 trees. Across both sites, almost 400 individual shrubs and trees were identified, georeferenced, and measured for a suite of vegetation structure variables, including diameter at breast height, height, height to first branch, and minimum and maximum canopy dimensions.
Responsible Neon Team:
Airborne Observation Platform (AOP) ; Terrestrial Observational Systems (TOS)  
Related data products:
NEON.DOM.SITE.DP1.10017.001; NEON.DOM.SITE.DP1.10098.001  
Related publications:
 
Keywords:
leaf area index; vegetation structure; plants; LAI; Pinus; Quercus  
Dataset ID:
1a477177-2801-44cd-ba5d-3c0bf0504d84
Additional Information
File size:
37.2 kB
File type:
CSV, DOCX, TXT  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON vegetation structure and leaf area index (LAI) prototype data, D03 OSBS Florida, 2010. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_D03_LAI_vegStructure_2010.zip

NEON prototype HOBO data, 2015-2018 Ecohydrology
This data package includes field HOBO Barometer and Pressure Transducer data collected during site characterization at NEON wadeable stream sites.
Science theme:
Ecohydrology  
Locations:
Hop Brook (D01; MA; HOPB; [42.472, -72.330]); Lewis Run (D02; VA; LEWI; [39.096, -77.983]); Rio Cupeyes (D04; AL; CUPE; [18.114, -66.987]); Rio Guilarte (D04; AL; GUIL; [18.174, -66.799]); Kings Creek (D06; KS; KING; [39.105, -96.603]); McDiffett Creek (D06; KS; MCDI; [38.944, -96.442]); Walker Branch (D07; TN; WALK; [35.959, -84.280]); Mayfield Creek (D08; AL; MAYF; [32.960, -87.408]); Arikaree River (D10; CO; ARIK; [39.758, -102.447]); Blue River (D11; OK; BLUE; [34.444, -96.624]); Pringle Creek (D11; TX; PRIN; [33.379, -97.782]); West Saint Louis Creek (D13; CO; WLOU; [39.891, -105.915]); Sycamore Creek (D14; AZ; SYCA; [33.749, -111.507]); Red Butte Creek (D15; UT; REDB; [40.784, -111.798]); McRae Creek (D16; OR; MCRA; [44.260, -122.166]); Martha Creek (D16; WA; MART; [45.791, -121.932]); Upper Big Creek (D17; CA; BIGC; [37.058, -119.256]); Teakettle 2 Creek (D17; CA; TECR; [36.955, -119.027]); Caribou Creek (D19; AK; CARI; [65.153, -147.502])  
Time range:
2015-2018
Abstract:
These data were collected in order to obtain continuous stage measurements at NEON aquatic sites during the initial site characterization period.  Applying stage-discharge rating curve equations to continuous stage data will result in continuous discharge estimates during this time period.
Methods:
These data were collected at NEON wadeable stream sites.
Two water level dataloggers (HOBO U20 by Onset) were utilized to continuously measure water level, stream temperature, barometric pressure, and air temperature at 15-minute intervals. The in-stream logger was secured to the bottom of the streambed to continuously measure water level and temperature to a 0.1% measurement accuracy.  The air logger was attached to a tree or post on the bank adjacent to the in-stream logger in order to continuously measure barometric pressure and air temperature to 0.1% measurement accuracy.  Barometric pressure data can be used to correct water level data.  Water level can be converted to stage by entering the staff gauge height when the in-stream logger was deployed.
Responsible Neon Team:
Aquatic Observational Systems (AOS)  
Related data products:
 
Related publications:
 
Keywords:
HOBO; pressure transducer; water pressure; air pressure; barometer  
Dataset ID:
6f6899c9-af9b-48fe-98e5-947bbc72f0cc
Additional Information
File size:
10.5 MB
File type:
CSV, TXT, HOBO, HPROJ  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON prototype HOBO data, 2015-2018. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_SiteCharacterizationHobo_2015_2018.zip

NEON Prototype data: Vegetation characterization data from multiple sites, 2012-2013 Organisms, Populations, and Communities
Preliminary survey of plant diversity and structure.
Science theme:
Organisms, Populations, and Communities  
Locations:
Bartlett Experimental Forest (D01; NH; BART; [44.064, -71.287]); Central Plains Experimental Range (D10; CO; CPER; [40.816, -104.746]); Disney Wilderness Preserve (D03; FL; DSNY; [28.125, -81.436]); Harvard Forest (D01; MA; HARV; [42.537, -72.173]); Jones Ecological Research Center (D03; GA; JERC; [31.195, -84.469]); Oak Ridge (D07; TN; ORNL; [35.964, -84.283]); Onaqui-Ault (D15; UT; ONAQ; [40.178, -112.452]); Ordway-Swisher Biological Station (D03; FL; OSBS; [29.689, 81.993]); Smithsonian Conservation Biology Institute (D02; VA; SCBI; [38.893, -78.140]); Talladega National Forest (D08; AL; TALL; [32.950, -87.393]); UNDERC (D05; MI; UNDE; [46.234, -89.537]); Woodworth (D09; ND; WOOD; [47.128, -99.241])  
Time range:
2012-2013
Abstract:
In advance of initiating sampling at each NEON site, surveys of plant presence, abundance and biomass were conducted in the Tower airshed. The data collected were used to 1) test measurement protocols, 2) evaluate effect of plot size biomass estimates, 3) generate initial species lists, and 4) select species for plant phenology observation. Data were collected by an external contractor, within temporary plots, some of which were later established for sampling in operations. Tree data for SCBI are not presented here; for characterization purposes, NEON utilized existing data from the Smithsonian Conservation Biology Institute (SCBI) Large Forest Dynamics Plot (Bourg, N. A., W. J. McShea, J. R. Thompson, J. C. McGarvey, and X. Shen. 2013. Initial census, woody seedling, seed rain, and stand structure data for the SCBI SIGEO Large Forest Dynamics Plot. Ecology 94:2111–2112. doi: http://dx.doi.org/10.1890/13-0010.1). See NEON site characterization reports for more information about these datasets.
Methods:
Multiple study sites representing a wide range of vegetation were sampled. Details about each of the NEON sites included within this prototype dataset can be found on the NEON webiste.
All diversity surveys were conducted within the nested subplot 'Peet plot' design, species abundance is reported as percent cover within one to four 1 m2 sampling areas in each plot; species presence/absence for all additional species is reported within the 10-100 m2 subplot. Vegetation structure measurements were collected in 2-4 subplots within each sampled plot. Measurement methods are consistent with USFS Forest Inventory Analysis protocols, reported in metric units.
Responsible Neon Team:
Terrestrial Observational Systems (TOS)  
Related data products:
NEON.DOM.SITE.DP1.10098.001; NEON.DOM.SITE.DP1.10058.001  
Related publications:
 
Keywords:
plant productivity; vegetation structure; species abundance; plant diversity; plant phenology  
Dataset ID:
4e6069c7-0b5e-42d6-8921-88831b2c2986
Additional Information
File size:
283.3 kB
File type:
CSV  

By choosing to download NEON data, you agree to NEON's Data Usage and Citation Policy

Citation: National Ecological Observatory Network. 2018. NEON Prototype data: Vegetation characterization data from multiple sites, 2012-2013. Downloaded from data.neonscience.org on July, 18, 2018

Click each link to download the different data files for this dataset.

Data Hosted by NEON

NEON_vegCharacterization_2012-2013.zip

No Results