cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48443/gfby-2510
title: NEON instrument hut air temperature data, D13 MOAB, 2014-2017

description: See the Project Description
description: 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.
DOI: 10.48443/yw8b-7856
title: NEON TIS tripod data, D18 Toolik, 2013-2014

description: 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.
description: 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.
DOI: 10.48443/htah-rb31
title: NEON TIS tripod data, D13 Moab, 2011-2012

description: 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.
description: 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.
DOI: 10.48443/09bx-cf67
title: NEON TIS tripod data, D12 Yellowstone, 2013-2015

description: 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.
description: 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.
DOI: 10.48443/bvvc-a657
title: NEON infrared gas analyzer data, Niwot Ridge AmeriFlux site (US-NR1), 2013 – 2014

description: 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.
description: 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.
DOI: 10.48443/f82f-8q86
title: NEON eddy covariance turbulence exchange system testing at Table Mountain Test Bed, CO, 2010-2011

description: 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.
description: 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.
DOI: 10.48443/vjfz-ss39
title: NEON sonic anemometer blocking error experiment, NEON Headquarters, 2014

description: 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”.
description: 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.
DOI: 10.48443/d3n7-9y41
title: NEON Storm Peak Lab (STPK) site characterization data for heated sonic anemometer testing, 2016

description: 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.
description: 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.
DOI: 10.48443/3jmv-0v06
title: NEON sonic anemometer and inertial navigation system data, NEON Headquarters, 2014

description: 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()].
description: 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.
DOI: 10.48443/7dqh-gw72
title: NEON Prototype Geomorphology Data, POSE 2015

description: 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).
description: 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.
DOI: 10.48443/9y8a-rf52
title: NEON Prototype Geomorphology Data, ARIK 2015

description: 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.
description: 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.
DOI: 10.48443/4ecx-kn44
title: NEON Prototype Geomorphology Data, KING 2016

description: 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.
description: 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.
DOI: 10.48443/8d1d-6291
title: NEON vegetation structure and leaf area index (LAI) prototype data, D03 OSBS Florida, 2010

description: 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.
description: 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.
DOI: 10.48443/j71k-8p05
title: NEON herbaceous biomass and leaf area index (LAI) prototype data, D10 CPER site, 2011

description: 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.
description: 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.
DOI: 10.48443/b4gz-c505
title: NEON prototype HOBO data, 2015-2018

description: 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.
description: 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.