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35 results for “Field monitoring”
Leaf Area Index every 15 cm of 1m x 1m chamber flux and point frame plots and sites where dataloggers monitored photosynthetically active radiation (PAR) above, within and below Salix pulchra and Betula nana canopies during the growing season at the Toolik Field Station in AK, Summer 2012.
Leaf area index (LAI) measurements were taken with the Delta-T SunScan wand every 15 cm from the ground to above the canopy under both direct and diffuse light. conditions The data includes all outputs from the SunScan wand: time of measurement, transmitted light, spread of photosynthetically active radiation (PAR) sensors, beam fraction, and zenith angle. These measurements were taken for 1m x 1m chamber flux and point frame plots sampled in tall Salix pulchra and Betula nana shrub canopies as well as sites monitored remotely by PAR sensors situated above, within, and below tall shrub canopies at the Toolik Field Station in the summer of 2012.
Succession in abandoned fields: Chronosequence data verified by monitoring of semi-permanent plots - Dataset underlying paper
<p>In task 3.1 of the WILDCARD project (www.wildcard-project.eu), we performed the analyses to identify the similarity between successional patterns in permanent plots and chronosequences on abandoned fields. This data is needed to know the accuracy of a chronosequence approach to reveal general successional vegetation pattens compared to the results obtained from semi-permanent plots. Raw data was provided by external collaborators. Results can be applied to other types of successional studies and restoratin projects, they verified the reliability of chronosequence approach. Rewiew process (3 reviewers plus coordinationg editor)</p>
Cereal aphids monitored in 2,110 fields in Denmark 2002-2019
<p>The aphids were accounted for visually as the percentage of tillers infested. The type of crop (winter wheat or spring barley) and its growth stage at the time of aphid assessment are included in the data set.</p> <p>The data is provided as both a tab-separated text file and a binary R data file. The R files provides code to read and plot the data. The two plots produced are also provided as PNG files.</p> <p>The data were collected by SEGES Innovation, Denmark.</p>
Mohonk Preserve Grassland Field Monitoring 2017-2021
Between 2017-2021, Mohonk Preserve inventoried vegetation in its old-fields and grasslands. The goal was to increase understanding and knowledge of the Preserve’s vegetation communities so informed management strategies could be developed. This data provides information on species composition; occurrence frequency; vegetation type (woody, forb, grass, sedge, etc.); species percent cover (dominance); and species listed, invasive, and pollinator importance status. Five fields have been sampled thus far: Spring Farm (SF, plots [n]= 96); Glory Hill (GF, n= 45); Testimonial Gateway (TG, n= 66); Brook Farm (BF, n= 36); and Pine Farm (PF, n= 27). Soil samples were taken from three sites in 2018: Spring Farm, Glory Hill, and Testimonial Gateway. All data collection occurred between the months of May and August. There are plans to add more plots to sites Brook Farm, Pine Farm, and a field that has not yet been sampled, Klein kill Farm. There are no immediate plans to resample Spring Farm, Glory Hill, or Testimonial Gateway.
Photosynthetically Active Radiation data taken with the Delta-T SunScan wand every 15 cm of 1m x 1m chamber flux and point frame plots as well as four remotely monitored canopies at the Toolik Field Station in AK, Summer 2012.
Within-canopy PAR was measured with a Delta-T SunScan wand every 15 cm from the ground to above the canopy under both direct and diffuse light. The data includes all outputs from the SunScan wand: time of measurement, spread of PAR sensors, total irradiance, total diffuse light, and individual outputs of 64-PAR sensors on the SunScan wand. These measurements were taken for 1m x 1m chamber flux (n=14) and point frame (n=19) plots as well as sites four montitored remotely by PAR sensors located above, within, and below shrub canopies. All plots were dominated either by tall Salix pulchra and Betula nana species and were located near the LTER shrub plots at Toolik Field Station , AK in the summer of 2012.
Field setup and metadata of the NBS monitoring experiment in OAL-Austria
<p>Field setup and metadata of the NBS monitoring experiment assessing the performance of a prototype of a bio-degradable bentonite mat conducted in OAL-Austria, including the locations of</p> <p>- the ground control points (GCPs) measured with the help of a differential global navigation satellite system (DGNSS)</p> <p>- the dynamic cone penetration tests (DCPTs)</p> <p>- probes of the electrical resistivity tomography (ERT) monitoring (4 transects)</p> <p>- positions of the individual terrestrial laser scans (TLS)</p> <p>- locations of the continuous soil moisture monitoring based on time-domain reflectometry (TDR)</p> <p> </p>
Environmental nucleic acids: a field-based comparison for monitoring freshwater habitats using eDNA and eRNA
<p>Nucleic acids released by organisms and isolated from environmental substrates are increasingly being used for molecular biomonitoring. While environmental DNA (eDNA) has received attention recently, the potential of environmental RNA as a biomonitoring tool remains less explored. Several recent studies using paired DNA and RNA metabarcoding of bulk samples suggest that RNA might better reflect "metabolically active" parts of the community. However, such studies mainly capture organismal eDNA and eRNA. For larger eukaryotes, isolation of extra-organismal RNA will be important, but viability needs to be examined in a field-based setting. In this study we evaluate (a) whether extra-organismal eRNA release from macroeukaryotes can be detected given its supposedly rapid degradation, and (b) if the same field collection methods for eDNA can be applied to eRNA. We collected eDNA and eRNA from water in lakes where fish community composition is well documented, enabling a comparison between the two nucleic acids in two different seasons with monitoring using conventional methods. We found that eRNA is released from macroeukaryotes and can be filtered from water and metabarcoded in a similar manner as eDNA to reliably provide species composition information. eRNA had a small but significantly greater true positive rate than eDNA, indicating that it correctly detects more species known to exist in the lakes. Given relatively small differences between the two molecules in describing fish community composition, we conclude that if eRNA provides significant advantages in terms of lability, it is a strong candidate to add to the suite of molecular monitoring tools.</p>
Software and data for: VGWatch: A low-cost stand-alone monitor to measure the valve gape of bivalves in the field
<p>Software and data abstract:</p> <p>This archive includes an Arduino script for utilizing the valve gape monitor outlined in the paper. Additionally, it provides an R script for calibrating the monitor and magnet. Finally, it contains valve gape data from three mussels, collected using the described monitor, along with a script for the analysis.</p> <p> </p> <p>Paper abstract:</p> <p>Valve gape monitors are utilised to measure the extent of bivalve’s shell openings. This measurement is correlated with their filter-feeding activity, and valve closure can serve as an indicator of various environmental stressors, including poor water quality, the presence of predators, and human disturbance. We developed an inexpensive, stand-alone, and reusable valve gape monitor; enabling collection of sufficient and independent spatial replication <em>in situ</em>. The monitor is made using Arduino hardware and software, and we share the design and code. We tested it in the field with three mussels as a proof of concept. The mussels were likely actively feeding most of the time. Two of the mussels were in close vicinity and demonstrated similar valve gape patterns. The monitor enables to measure valve gape in high resolution, providing insights into bivalve biology, ecosystem functioning, and the effects of environmental conditions, including anthropogenic stressors.</p>
FIGURE 6. Map showing estimated collection area. Points are field localities and 15 meter buffer shows estimated prospecting areas for 2008 in Novel analysis of locality data can inform better inventory and monitoring practices for paleontological resources at John Day Fossil Beds National Monument Oregon, USA
FIGURE 6. Map showing estimated collection area. Points are field localities and 15 meter buffer shows estimated prospecting areas for 2008 (yellow), 2009 (green), and 2010 (blue). Precise locality information is available to qualified researchers upon request from JODA's museum program.
FIGURE 9. All field collections from 2013 - early 2019 in Novel analysis of locality data can inform better inventory and monitoring practices for paleontological resources at John Day Fossil Beds National Monument Oregon, USA
FIGURE 9. All field collections from 2013 - early 2019 to be used for tracking previous collection area. Points outside of JODA boundaries are BLM, USFS, or private localities. Precise locality information is available to qualified researchers upon request from JODA's museum program.
Figure 2 in A 6-year field monitoring of fall armyworm, Spodoptera frugiperda, in transgenic Bt maize in Brazil
Figure 2 Average number of fall armyworm larvae, Spodoptera frugiperda, collected in Bt hybrids, non-Bt hybrids and non-Bt hybrids sprayed with methomyl in 2015 and 2016 (period II), in Sete Lagoas and Nova Porteirinha. Average followed by the same upper-case letter between municipalities and same lower-case letter in each municipality do not differ statistically (Scott-Knott test at p ≤ 0.05).
Figure 1 in A 6-year field monitoring of fall armyworm, Spodoptera frugiperda, in transgenic Bt maize in Brazil
Figure 1 Average number of fall armyworm larvae, Spodoptera frugiperda collected in Bt hybrids, non-Bt hybrids and non-Bt hybrids sprayed with methomyl from 2011 to 2014 (period I), in Sete Lagoas and Nova Porteirinha. Average followed by the same upper-case letter between municipalities and same lower-case letter in each municipality do not differ statistically (Scott-Knott test at p ≤ 0.05).
Fig. 1 in Potential of unmanned aerial sampling for monitoring insect populations in rice fields
Fig. 1. Rotary-wing unmanned aerial vehicle equipped with remote-controlled insect net openings (a). Layout of double-layered insect net designed to prevent loss of insect samples during aerial sampling (b). Representative flight path of unmanned aerial vehicle for aerial sampling over rice field (c).
Ground penetrating radar (GPR) monitoring of a densely gridded survey field in the Lower Muschelkalk of a limestone quarry in Rüdersdorf near Berlin, Germany 2023/24
<p>Surface Ground Penetrating Radar (GPR) was used on the exposed limestone of a quarry to monitor a survey field of densely spaced profiles on three dates (in October 2023, December 2023 and February 2024). The different moisture conditions of these survey dates can be evaluated with linked detailed weather data (<span>10.5281/zenodo.13867069</span>). A time-depth conversion using CMP data to calculate the EM wave velocity suggested a GPR penetration depth of approximately 4 metres. The measurements were planned, carried out and analysed in the context of a Master's thesis on the potential of GPR to investigate the hydrodynamics of carbonate rocks relevant to groundwater recharge processes.</p>
Evaluation of different settlement substrates for field-based collection of Ostrea edulis. Spatial variation in oyster spat settlement along the Swedish west coast was also monitored.
<p>Aim: Evaluate different types of settlement substrates for field-based collection of <em>Ostrea edulis</em>. Document spatial variation in settlement of oyster spat on coupelle collectors along the Swedish west coast.</p> <p>Different types of substrates (shells of different species and materials with different structures) were placed in the sea and the survival and number of spat attached to the substrates were evaluated. Growth and species identification (<em>O. edulis</em> versus <em>M. gigas</em>) were documented. Data was collected from the Swedish west coast in 2020.</p>
Environmental nucleic acids: a field-based comparison for monitoring freshwater habitats using eDNA and eRNA
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Methane and carbon dioxide emissions were monitored in control, greenhouse, and nitrogen and phosphorus fertilized plots of three different plant communities, Toolik Field Station, North Slope Alaska, Arctic LTER 1991.
Methane and carbon dioxide emissions were monitored in control, greenhouse, and nitrogen and phosphorus fertilized plots of three different plant communities.
Methane and carbon dioxide emissions were monitored in control, greenhouse, and nitrogen and phosphorus fertilized plots of three different plant communities Arctic LTER experimental plots, Toolik Field Station, 1992.
Methane and carbon dioxide emissions were monitored in control, greenhouse, and nitrogen and phosphorus fertilized plots of three different plant communities. This is the second year of collection data.
Methane and carbon dioxide emissions were monitored in control, greenhouse, and nitrogen and phosphorus fertilized plots of three different plant communities, Toolik Field Station, North Slope Alaska, Arctic LTER 1993.
Methane and carbon dioxide emissions were monitored in control, greenhouse, and nitrogen and phosphorus fertilized plots of three different plant communities. This is the third year of collection data.
Data archive for the peer-reviewed journal article "Detailed characterization of the CAPS single scattering albedo monitor (CAPS PMssa) as a field-deployable instrument for measuring aerosol light absorption with the extinction-minus-scattering method"
<p>Data archive accompanying the peer-reviewed journal article "Detailed characterization of the CAPS single scattering albedo monitor (CAPS PMssa) as a field-deployable instrument for measuring aerosol light absorption with the extinction-minus-scattering method". In 2020 this article was accepted for publication in the journal <em>Atmospheric Measurement Techniques</em>. Data are uploaded in the form of ascii text files, Igor Pro experiment files (.pxp), and Jupyter notebook files. In addition, a Jupyter notebook file is included containing an implementation of the error model used in the paper.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.