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858 results for “monitoring data”
Roedsand Lagoon hydrodynamic monitoring data for JRA experiment
<p>The overall aim is to improve our ability to predict growth of eelgrass and (fine-grained) sediment transport, by being able to model the interaction of sediment dynamics as a function of eelgrass shoot density/biomass, as well as the eelgrass growth dynamics as a function of sediment dynamics. Essentially, this study focuses on establishing changes in critical bed shear stress for erosion and deposition. Time series of sediment, hydrodynamic and biological parameters provide a data basis for understanding the temporal dynamics and quantify critical shear stress and sedimentation/ erosion.</p>
Hearing the Voice of Software Practitioners on Technical Debt Monitoring: Understanding Monitoring Practices and the Practices' Avoidance Reasons: Data set
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[Data] Recent consumer OLED monitors can be suitable for vision science
<p>Monitor data collected using X-Rite i1Display Colorimeter and X-Rite i1Pro3 Spectrophotometer. 4 datasets for 2 OLED monitors (Asus, Samsung), 1 LED projector (VPixx PROPixx), and 1 LCD monitor (LG UltraGear).</p> <p>Each dataset contains luminance measurements of R, G, B channels and grayscale, pixel signal responses and waveforms that were recorded using OSRTT PRO CS (photodiodes). Luminance measurements include ramps, two channels saturated (OCS), filling factor (Average Pixel Level), and uniformity measurements.</p>
Long-term water quality monitoring data of Shenzhen Bay
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Guildford Compact Neutron Monitor Data 1hr 2021-2024
<p>Data from the "compact neutron monitor" at Guildford, Surrey, UK. The data is 1 hour resolution from February 02 2021 until September 16 2024. The variables are:</p> <ul> <li>DATE_TIME: UTC time corresponding to the start of the recording interval</li> <li>CTS_X: uncorrected counts from detector X</li> <li>SAMPLE_LEN_X: sample length for detector in number of seconds</li> <li>TA: atmospheric temperature in degrees celsius</li> <li>PA: atmospheric pressure in hPa</li> <li>RH: relative humidity in %</li> <li>CTS_X_CORR: pressure-corrected counts from dtetector X</li> </ul>
Data from: Assessing strengths and weaknesses of DNA metabarcoding based macroinvertebrate identification for routine stream monitoring
1) DNA metabarcoding holds great promise for the assessment of macroinvertebrates in stream ecosystems. However, few large-scale studies have compared the performance of DNA metabarcoding with that of routine morphological identification. 2) We performed metabarcoding using four primer sets on macroinvertebrate samples from 18 stream sites across Finland. The samples were collected in 2013 and identified based on morphology as part of a Finnish stream monitoring program. Specimens were morphologically classified, following standardised protocols, to the lowest taxonomic level for which identification was feasible in the routine national monitoring. 3) DNA metabarcoding identified more than twice the number of taxa than the morphology-based protocol, and also yielded a higher taxonomic resolution. For each sample, we detected more taxa by metabarcoding than by the morphological method, and all four primer sets exhibited comparably good performance. Sequence read abundance and the number of specimens per taxon (a proxy for biomass) were significantly correlated in each sample, although the adjusted R2 were low. With a few exceptions, the ecological status assessment metrics calculated from morphological and DNA metabarcoding datasets were similar. Given the recent reduction in sequencing costs, metabarcoding is currently approximately as expensive as morphology-based identification. 4) Using samples obtained in the field, we demonstrated that DNA metabarcoding can achieve comparable assessment results to current protocols relying on morphological identification. Thus, metabarcoding represents a feasible and reliable method to identify macroinvertebrates in stream bioassessment, and offers powerful advantage over morphological identification in providing identification for taxonomic groups that are unfeasible to identify in routine protocols. To unlock the full potential of DNA metabarcoding for ecosystem assessment, however, it will be necessary to address key problems with current laboratory protocols and reference databases.
Data from: Biodiversity change is uncoupled from species richness trends: consequences for conservation and monitoring
1. Global concern about human impact on biological diversity has triggered an intense research agenda on drivers and consequences of biodiversity change in parallel with international policy seeking to conserve biodiversity and associated ecosystem functions. Quantifying the trends in biodiversity is far from trivial, however, as recently documented by meta-analyses which report little if any net change of local species richness through time. 2. Here, we summarize several limitations of species richness as a metric of biodiversity change and show that the expectation of directional species richness trends under changing conditions is invalid. Instead, we illustrate how a set of species turnover indices provide more information content regarding temporal trends in biodiversity, as they reflect how dominance and identity shift in communities over time. 3. We apply these metrics to three monitoring data sets representing different ecosystem types. In all data sets, nearly complete species turnover occurred, but this was disconnected from any species richness trends. Instead, turnover was strongly influenced by changes in species presence (identities) and dominance (abundances). We further show that these metrics can detect phases of strong compositional shifts in monitoring data and thus identify a different aspect of biodiversity change decoupled from species richness. 4. Synthesis and application: Temporal trends in species richness are insufficient to capture key changes in biodiversity in changing environments. In fact, reductions in environmental quality can lead to transient increases in species richness if immigration or extinction have different temporal dynamics. Thus, biodiversity monitoring programs need to go beyond analyses of trends in richness in favour of more meaningful assessments of biodiversity change.01-Jun-2017
Monitoring data from Selisoo bog, north-eastern Estonia, period 2011 - 2022
<p>Water level and weather data from Selisoo bog, north-Est Estonia, period 2011 - 2022. We measured water tables using automatic pressure loggers over eleven years in various parts of a hemiboreal bog in northeastern Estonia, which has been reached by adjacent oil-shale mining operations at about 60–70 m depth from the surface.</p>
Raw Data for the article: Local diagnostic reference levels for pediatric retrograde wedge portography interventional procedures using a dose monitoring software at a transplantation institute
<p>The aim of this work was to establish local diagnostic reference levels (DRLs) for retrograde wedge portography (RWP) performed on pediatric patients assessing the usefulness of radiation dose monitoring software in the establishing process. Between September 2016 and April 2020, 66 consecutive RWP were performed at a transplantation institute and were included in our study. Patients were divided in three groups according to age: n = 25 infants, n = 20 middle childhood and n = 21 early adolescence. The third quartile of both Air Kerma at the reference point (Ka,r) and air kerma-area product (PKA) were evaluated to establish local DRLs (lDRLs). In addition, to control high Ka,r levels during procedures, the software notified to operators if Ka,r exceeded the dose 'alert' threshold set at 2 Gy. lDRLs were established for all three groups using PKA and Ka,r: infant group: 5.6 Gy.cm 2 and 0.034 Gy; middle childhood: 6.4 Gy.cm2 and 0.018 Gy and early adolescence: 12.8 Gy.cm2 and 0.059 Gy. The dose threshold 'alert' was never encountered (alert quota: 0%). The dose monitoring system supports the feasibility of accurate and easier lDRLs' establishment.</p>
Supporting data for Comparison of Oxford Nanopore and Illumina sequencing for SARS-CoV-2 variant monitoring in wastewater
<p>This dataset contains the FASTQ files used in the paper <em>Comparison of Oxford Nanopore and Illumina sequencing for SARS-CoV-2 variant monitoring in wastewater</em>. </p> <p>The FASTQ files are classified in 2 different folders: MinION and MiSeq. Inside the MinION folder, there are two more folders, one for the R9.4.1 flow cell data and the other for the R10.4.1 flow cell data. </p> <p>Twist synthetic RNA mixtures are named as mix1, mix2, etc. </p> <p>Twist synthetic RNA corresponding to the Wuhan sequence is named as mix11_WH</p> <p>Wastewater samples are named as WWTP_1, WWTP_2, etc. </p>
Source code and data files for the acoustic sensor-based wearable fetal movement monitor
<p>This repository contains data files and source code for the acoustic sensor-based wearable fetal movement monitor.</p>
A Study to Investigate the Association of Real-world Sensor-derived Biometric Data With Clinical Parameters and Patient-reported Outcomes for Monitoring Disease Activity in Patients With COPD
ClinicalTrials.gov study NCT05655832. IPD Sharing: NO. Countries: 1. Publications: 0.
Monitoring Physiologic Data in the Development of Pressure Ulcers
ClinicalTrials.gov study NCT02689817. IPD Sharing: NO. Countries: 0. Publications: 16.
Data from: Monitoring groundwater levels in Oasis Valley, NV, and evaluating potential drawdown during the North Bullfrog aquifer test
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Data from: Biodiversity change is uncoupled from species richness trends: consequences for conservation and monitoring
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Data from: Pollinator Monitoring More than Pays for Itself
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Data from: The effect of promoting current local research activities on large monitors on the population’s interest in health-related research – a randomized controlled trial
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Data from: Comparative evaluation of potential indicators and temporal sampling protocols for monitoring genetic erosion
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Data from: Defining functional biomes and monitoring their change globally
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Data from: Analysing the effect of paddy rice variety on fluorescence characteristics for nitrogen application monitoring
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ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.