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8,460 results for “MONITORING”
Monitoring genetic diversity with new indicators applied to an alpine freshwater top predator
<p><span>Genetic diversity is the basis for population adaptation and long-term survival, yet rarely considered in biodiversity monitoring. One key issue is the need for useful and straightforward indicators of genetic diversity. We monitored genetic diversity over 40 years (1970-2010) in metapopulations of brown trout (Salmo trutta) inhabiting 27 small mountain lakes representing 10 lake systems in central Sweden using >1200 fish per time point. We tested six newly proposed indicators; three were designed for broad, international use in the UN Convention on Biological Diversity (CBD and are currently applied in several countries. The other three were recently elaborated for national use by a Swedish science-management effort and applied for the first time here. The Swedish indicators use molecular genetic data to monitor genetic diversity within and between populations (indicators ΔH and ΔFST, respectively) and assess the effective population size (Ne-indicator). We identified 29 genetically distinct populations, all retained over time. Twelve of the 27 lakes harbored more than one population indicating that brown trout biodiversity hidden as cryptic, sympatric populations are more common than recognized. The Ne indicator showed values below the threshold (Ne≤500) in 20 populations with five showing Ne<100. Statistically significant genetic diversity reductions occurred in several populations. Metapopulation structure appears to buffer against diversity loss; applying the indicators to metapopulations suggest mostly acceptable rates of change in all but one system. The CBD indicators agreed with the Swedish ones but provided less detail. All these indicators are appropriate for managers to initiate monitoring of genetic biodiversity.</span></p>
Monitoring growth of whitefish (Coregonus cf. suidteri) in Lake Hallwil
<p><span>Many lakes of the pre-Alpine region suffered from severe eutrophication that affected the natural reproduction of whitefish (<em>Coregonus </em>spp.) and necessitated large-scale supportive breeding programs. With the advanced reoligotrophication, it is now important to evaluate the relevance of continued artificial breeding for population dynamics. We focused on a whitefish population of a lake that has reached phase III of the reoligotrophication, i.e., lake biomass production is declining since 2012 in response to low phosphorus concentrations. We show that most eggs are naturally spawned, the observed oxygen concentrations would again support embryo development at all depths, and ready-to-hatch embryos can indeed be found on spawning grounds. We marked all hatchery-produced eggs of the 2014 cohort with Alizarin red, stocked them as usual (at larval or early juvenile stages), and recaptured them over a period of five years. Fish were aged from yearly growth rings on scales, and otoliths were checked for marks. We found 90.3% of the 2014 cohort to be hatchery-born. This ratio did not decline with fish age. We also determined juvenile growth of the cohorts 2012-2020 (based on the first annual ring on scales) and found that stocking intensity predicted juvenile growth (r<sup>2</sup> = 0.67). This strong density dependence suggest that stocking has largely determined population size over the first nine years of reoligotrophication phase III. We conclude that large areas of spawning grounds allow again for successful embryogenesis, that large quantities of eggs are naturally spawned, but that natural recruitment is significantly reduced by ecological or evolutionary factors, e.g., competition with hatchery-born fish, desynchronization of trophic interactions, or long-term effects of fishing- or hatchery-induced evolution</span></p>
Supplementary Material 1 : Monitoring Hydrothermal Activity Using Major and Trace Elements in Low-Temperature Fumarolic Condensates, The Case of La Soufriere de Guadeloupe Volcano, by Inostroza et al.
<p>Supplementary Material 1 - Monitoring hydrothermal activity using major and trace elements in low-temperature fumarolic condensates, the case of La Soufriere de Guadeloupe volcano, by Manuel Inostroza, Séverine Moune, Roberto Moretti, Vincent Robert, Magali Bonifacie, Elodie Chilin-Eusebe, Arnaud Burtin, Pierre Burckel</p>
Comparison of Monitoring Methods during L-DED of Inconel 718
<p>Videos showing 4 different monitoring techniques during L-DED (BeAM Magic 2.0) of Inconel 718</p>
Austrian Science Fund (FWF) Open Access Compliance Monitoring 2021
<p><strong>I. Executive summary</strong></p> <p>The Austrian Science Fund (FWF), which is Austria's main funding organisation for basic research, encourages and helps all project leaders and project staff members to make their peer-reviewed research results freely available on the Internet. Any exceptions must be clearly indicated and justified. For projects that started after 1 January 2015, open access has been compulsory for all peer-reviewed publications. All principal investigators in FWF-funded projects are obliged to submit a final report within four months of completing their projects.</p> <p>In 2021, a total of 584 final reports were submitted to the FWF, 48 of which could not report any publications so far. The publications and other data mentioned in those reports are archived and analysed by the FWF. This report examines the state of compliance with open access requirements for peer-reviewed publications on the basis of final project reports submitted in the year 2021.</p> <p>Main findings:</p> <p>-A total of 7,025 publications were listed in the final project reports submitted in 2021.</p> <p>-Of those publications, 5,735 were conclusively identified as peer-reviewed.</p> <p>-Regarding compliance with the FWF's Open Access Policy, the analysis shows that 82% of the peer-reviewed publications listed in the final project reports submitted in 2021 were openly accessible (2015: 83%, 2016: 92%, 2017: 90%, 2018: 92%, 2019: 89%, 2020: 84%).</p> <p>-The most frequently chosen option was hybrid open access (39%). The share of gold open access was 23%, the share of green open access 20%, and no open access 18%.</p> <p>-The majority of peer-reviewed publications submitted were journal articles (85%), 86% of which were openly accessible.</p> <p>-The lowest rate of compliance with the FWF's Open Access Policy could be found in editions, contributions to edited volumes, and monographs (50%).</p> <p>-The absolute number of publications listed in final reports in 2021 included 403 publications that were mentioned several times in different projects; however, those repetitions did not ultimately affect the relative share of open access publications (81%).</p> <p>II. Bias</p> <p>Most of the publications were submitted to the FWF via a research documentation system (provided by ©Researchfish), in which FWF-funded researchers are able to enter and update their research data on an ongoing basis. The last check of the open access status was performed in March 2022. In some cases, the embargo period may have already expired, and publications labelled ‘closed’ in the FWF’s database may now be accessible through green open access.</p> <p>Whenever the status ‘peer-reviewed’ could not be clearly identified according to the FWF’s guidelines, the publications were classified as non-peer reviewed.</p> <p>Openly available non-peer reviewed publications were entered as 'openly available’.</p>
Design and development remote monitoring agent for energy service companies in the telecommunication industry
<p>Data set downloaded from the remote monitoring agent (RMA) over its local webpage using WiFi connection.</p>
Video from: Integrated wildlife monitoring, a pilot trial in Spain
<p>This study aims to report the implementation of the first nationwide pilot trial of balanced IWM in Europe, using a network of 11 pilot monitoring sites in Spain. The insights obtained in this pilot IWM trial will help to further develop a comprehensive IWM and serve as a reference for implementing IWM systems in other regions. For this purpose, a grid of 20 camera traps (Browning Strike Force HD ProX, Browning Arms Company®, Morgan, Utah, USA) was deployed for two months at each study site (n=11). REM was applied to wild boar (<em>Sus scrofa</em>), red deer (<em>Cervus elaphus</em>), and red fox (<em>Vulpes vulpes</em>) as the most frequently detected species. Relative abundance indexes, namely trapping rate and relative occupancy index, were calculated for the remaining, less frequently detected species. We also constructed static social networks, one for each study site (shown in the video).</p>
Six years of wild bee monitoring collections data using Blue Vane traps in Southern Pennsylvania, USA
<p><span><span>Turley NE, Biddinger DJ, Joshi NK, López-Uribe MM. 2022. Six years of wild bee monitoring shows changes in biodiversity within and across years and declines in abundance. Ecology and Evolution. </span></span></p> <p><span>Wild bees form diverse communities that pollinate plants in both native and agricultural ecosystems making them both ecologically and economically important. The growing evidence of bee declines has sparked increased interest in monitoring bee community and population dynamics using standardized methods. Here, we studied the dynamics of bee biodiversity within and across years by monitoring wild bees adjacent to four apple orchard locations in Southern Pennsylvania, USA. We collected bees using passive Blue Vane traps continuously from April to October for six years (2014-2019) amassing over 26,000 bees representing 144 species. We quantified total abundance, richness, diversity, composition, and phylogenetic structure. There were large seasonal changes in all measures of biodiversity with month explaining an average of 72% of the variation in our models. Changes over time were less dramatic with years explaining an average of 44% of the variation in biodiversity metrics. We found declines in all measures of biodiversity especially in the last 3 years, though additional years of sampling are needed to say if changes over time are part of a larger trend. Analyses of population dynamics</span> <span>over time for the 40 most abundant species indicate that about one third of species showed at least some evidence for declines in abundance. Bee family explained variation in species-level seasonal patterns but we found no consistent family-level patterns in declines, though bumble bees and sweat bees were groups that declined the most. Overall, our results show that season-wide standardized sampling across multiple years can reveal nuanced patterns in bee biodiversity, phenological patterns of bees, and population trends over time of many co-occurring species. These datasets could be used to quantify the relative effects that different aspects of environmental change have on bee communities and to help identify species of conservation concern</span><span>. </span></p>
PM10, SO2, and NO2 Ambient Air Quality Monitoring Data from India's National Ambient Monitoring Program (NAMP) 2011-2015
<p>India's Central Pollution Control Board (CPCB) operates and maintains the National Ambient Monitoring Program (<a href="https://cpcb.nic.in/about-namp/">NAMP</a>) which includes both continuous and manual ambient monitoring stations. This dataset is a collation of manual monitoring data by day for years 2011, 2012, 2013, 2014, and 2015 for PM10, SO2, and NO2. These stations collect for a maximum of 104 days in a year. This cleaned dataset was utilized for understanding trends and conducting comparisons with modeled concentrations under the APnA city program, published <a href="https://doi.org/10.1016/j.uclim.2018.11.005">here</a> (<a href="https://doi.org/10.1016/j.uclim.2018.11.005">Urban Climate, 2019</a>).<br> <br> Data format - year, month, day, SO2, NO2, PM10, Stn Code, State, City<br> All units - micro-gm/m3 (ug/m3)</p> <p>Official annual summary reports (PDFs) are available <a href="https://cpcb.nic.in/namp-data/">here</a>.</p> <p>For guidelines for ambient and emissions monitoring, summaries of available data, and other resources on monitoring in India, visit <a href="https://urbanemissions.info/resources-energy-emissions-analysis-in-india/#monitoring">https://urbanemissions.info/resources-energy-emissions-analysis-in-india</a></p>
Microsatellite genotypes for temporal monitoring of the Floreana Island Galapagos Giant Tortoise captive breeding program
<p><span>Captive breeding programs benefit from genetic analyses that identify relatedness between individuals, assign parentage to offspring, and track levels of genetic diversity. Monitoring these parameters across breeding cycles is critical to the success of a captive breeding program as it allows conservation managers to iteratively evaluate and adjust program structure. However, in practice, genetic tracking of breeding outcomes is rarely conducted. Here, we examined the first three offspring cohorts (2017 – 2020) of the genetically-informed captive breeding program for the Floreana Island Galapagos giant tortoise, </span><em><span>Chelonoidis niger</span></em><span>. This captive breeding program is unique as the Floreana tortoise has been extinct since the 1800s, but its genome </span><span>persists, in part, in the form of living hybrids with the extant Volcano Wolf tortoise, <em>Chelonoidis becki</em>. Breeding over the study period took place at the Galapagos National Park Directorate breeding facility in four corrals, each containing three females and two males. Using 17 microsatellite markers, we were able to assign parentage to 94 of the 98 offspring produced over the study period. </span><span>We observe that despite the addition of more founders since the pilot breeding program, the effective population size remains low, and changes to the arrangements of breeding corrals may be necessary to encourage more equal reproductive output from the males. </span><span>This study demonstrates the value of hybrids for species restoration and the importance of continually reassessing the outcomes of captive breeding. </span></p>
Improving citizen science data for long-term monitoring of plant species
<p>In 2012, a new volunteer-based recording scheme for vascular plants was launched in the Netherlands. Its purpose is to track the changes in the number of occupied 1-km grid cells for as many native plant species as possible between survey rounds of 8 years. We did not prescribe a strict field protocol to minimize variation in observer effort, but instead chose to statistically correct for this variation with occupancy models. These models require replicated visits to a grid cell per season, which was implemented by having two independent observers survey grid cells and record all plant species observed. Now that a first survey round has ended (2012–2019), we evaluate our approach, i.e. we tested whether the scheme has the potential to produce proper trend estimates. The number of occupied grid cells in the first round was estimated per species, using an occupancy model with day of year, visit duration and observer experience as covariates for detection. The detection probability, which was 0.43 on average, strongly depended on visit duration and day of year. It was possible to estimate the number of occupied grid cells quite precisely for several hundreds of species, such that the statistical power is expected to be high enough to detect changes of 10% between survey rounds. For rare species, however, the power to detect changes is expected to be quite low. We conclude that the approach works well, but further improvements are suggested.</p>
Data and code for "A decade of monitoring micropollutants in urban wet-weather flows: what did we learn?"
<p><strong>Data and code for publication</strong></p> <p><em>Lena Mutzner, Viviane Furrer, Hélène Castebrunet, Ulrich Dittmer, Stephan Fuchs, Wolfgang Gernjak, Marie-Christine Gromaire, Andreas Matzinger, Peter Steen Mikkelsen, William R. Selbig, Luca Vezzaro,<br> A decade of monitoring micropollutants in urban wet-weather flows: what did we learn?<br> Water Research, 2022.<br> https://doi.org/10.1016/j.watres.2022.118968</em></p> <p><strong>Data</strong></p> <p>Micropollutants concentrations in µg/l (incl. heavy metals) for 77 wet-weather discharge sites (36 combined sewer overflows, 41 stormwater outlets). The provided data set is a collection of raw data sets based on publications referenced below. The data description is provided in the folder Data\AA_DataDescription.txt</p> <p><strong>Abstract</strong></p> <p>Urban wet-weather discharges from combined sewer overflows (CSO) and stormwater outlets (SWO) are a potential pathway for micropollutants (trace contaminants) to surface waters, posing a threat to the environment and possible water reuse applications. Despite large efforts to monitor micropollutants in the last decade, the gained information is still limited and scattered. In a metastudy we performed a data-driven analysis of measurements collected at 77 sites (683 events, 297 detected micropollutants) over the last decade to investigate which micropollutants are most relevant in terms of 1) occurrence and 2) potential risk for the aquatic environment, 3) estimate the minimum number of data to be collected in monitoring studies to reliably obtain concentration estimates, and 4) provide recommendations for future monitoring campaigns. We highlight micropollutants to be prioritized due to their high occurrence and critical concentration levels compared to environmental quality standards. These top-listed micropollutants include contaminants from all chemical classes (pesticides, heavy metals, polycyclic aromatic hydrocarbons, personal care products, pharmaceuticals, and industrial and household chemicals). Analysis of over 30,000 event mean concentrations shows a large fraction of measurements (> 50%) were below the limit of quantification, stressing the need for reliable, standard monitoring procedures. High variability was observed among events and sites, with differences between micropollutant classes. The number of events required for a reliable estimate of site mean concentrations (error bandwidth of 1 around the “true value) depends on the individual micropollutant. The median minimum number of events is 7 for CSO (2 to 31, 80%-interquantile) and 6 for SWO (1 to 25 events, 80%-interquantile). Our analysis indicates the minimum number of sites needed to assess global pollution levels and our data collection and analysis can be used to estimate the required number of sites for an urban catchment. Our data-driven analysis demonstrates how future wet-weather monitoring programs will be more effective if the consequences of high variability inherent in urban wet-weather discharges are considered.</p>
Data on three-year flowering intensity monitoring in an apple orchard
<p>The present dataset contains UAV images during the full blooming period of an apple orchard for three consecutive years, 2018, 2019, and 2020. It is directly linked to a research article entitled “Feasibility assessment of tree-level flower intensity quantification from UAV RGB imagery: A triennial study in an apple orchard”. The data collection site was an apple orchard located at Randwijk, Overbetuwe, The Netherlands (51.938, 5.7068 in WGS84 UTM 31U). This dataset aims to support researchers focussing on remote sensing, machine vision, deep learning, and image classification, and the stakeholders interested in precision horticulture and orchard management. It can be used for flowering intensity estimation and prediction, and spatial and temporal flowering variability mapping by using digital photogrammetry and 3D reconstruction.</p>
Dataset for the article "PERFORMANCE EVALUATION OF AN IMAGING RADIATION PORTAL MONITOR SYSTEM"
<p>The dataset includes root files used in generating the main figures for the article "PERFORMANCE EVALUATION OF AN IMAGING RADIATION PORTAL MONITOR SYSTEM" by Jana Vasiljević, Alf Göök and Bo Cederwal. The article will be submitted to MDPI Applied Sciences.</p> <p> </p>
Compilation of chemical pollution monitoring data for the water of mountain lakes
<p>Compilation of chemical pollution monitoring data for the water of mountain lakes. Includes data for wide variety of chemical pollutants and mountain lakes from all over the world. A toxic unit (TU) based approach was used to assess the mixture toxic risks of the compiled monitoring data for each respective lake.Data will be part of an review investigating the risk for mountain lakes by chemical pollution.</p>
Monitoring of degradation of 5 organic micropollutant under a multitude of scenarios
<p>The spreadsheet contains HPLC integration peaks monitoring the photolytic and photocatalytic degradation of 5 organic micropollutants (ciprofloxacin, sulfamethoxazole, trimethoprim, venlafaxine and o-desmethyl-venlafaxine) under different conditions. The first sheets show the degradation by UV-A and UV-C photolysis and photocatalysis of each compound in individual solution in milliQ water (initial concentration of each, 2 mg/L). Later, all compounds are present in an initial mixture (concentration of each 2 mg/L, resulting in final mixture solution of 10 mg/L). The impact on degradation of adding 0.1 mM of peroxide in the solution for all 4 processes is studied. Additionally, the impact of: 1) of using simultaneous LED wavelengths (UV-A and UV-C combined); 2) using tap water as matrix; and 3) varying the initial pH for the 1st order kinetic rates of each compound in the mixture is investigated. Plots of the kinetic rate and calculations of EEO values (electrical energy per order consumption) are made. The last spreadsheets contain kinetic monitoring of several experiments performed by altering the composition of the matrix with the addition of nitrates, humic acids and bicarbonates. The data was used to obtain a surface-response box-behnken design of experiments.</p>
Monitoring of ciprofloxacin degradation by UV-A LED photolysis and photocatalysis under different scenarios
<p>The spreadsheet contains the HPLC integration peaks monitoring the photolytic and photocatalytic degradation of the antibiotic ciprofloxacin (CIP) in milliQ water. The initial concentration of CIP is 10 mg/L. In the spreadsheets is shown the obtainment of 1st order kinetic constant rates for different photoreactor designs using 2, 3, 4 or 6 UVA-LED strips around the reactor, distanced 10 or 15 mm from the reactor's walls. The influence of different controlled periodic illumination's duty cycle (0.50 and 0.75) is also shown. Calculations of EEO (electrical energy per order consumption) are also made for each reactor set up.</p> <p>The irradiance values for each photoreactor design calculated by an optical software is presented as planar projections of the cylindrical reactor. Images showing the radiant flux in the photoreactor's middle cross section obtained by the software are also shown</p> <p>Finally, a full factorial design of experiments is made to obtain a model of prediction of kinetic constant rates and EEO values. Predicted vs experimental values are plotted.</p>
A synchronized estimation of hourly ground-level concentrations of six criteria air pollutants in China using data from the first geostationary air-quality monitoring satellite
<p>This dataset provides the ground-level concentrations of six criteria air pollutants estimated from the first geostationary air quality monitoring satellite GEMS with a multi-output random forest model.</p>
sustAGE User Postures & Actions Monitoring dataset
<p>The sustAGE User Postures & Actions Monitoring dataset contains videos, data related to occurrences of ergonomic (body straining) postures as well as heart rate measurements of line workers during work activities in a realistic manufacturing environment. The time-synchronized data streams were captured during assembly tasks performed by real line workers in a realistic car door assembly production line in the premises of Stellantis --- Centro Ricerche FIAT (CRF)/SPW Research \& Innovation department in Melfi, Italy in the context of the sustAGE project.</p> <p>The dataset can be used by methods that target the following research tasks: a) vision-based detection of worker’s ergonomically unhealthy (body straining) postures during assembly tasks according to the MURI risk analysis tool, b) vision-based recognition of human assembly actions, c) multi-modal analysis and forecasting of worker heart rate and physical fatigue based on heart rate measurements and the detection (annotated occurrences) of body straining postures during work activities. Each video shows a single line worker that performs a series of car door assembly activities, noted as a task cycle execution, for a specific workstation of the production line. A set of twelve task cycle executions performed by three different workers were captured using static StereoLabs ZED or ZED2 sensors. Each task cycle execution has a mean duration of 4 minutes. Moreover, time-synchronised data for the occurrences of body straining postures and worker heart rate are available for 8 work sessions. Each work session was recorded during morning or afternoon time of the work shift and regards 3 to 5 consecutive task cycle executions performed by the same line worker. Heart rate data was captured using a Garmin Vivoactive 3 smartwatch. Time annotations are available for the samples collected during the work sessions based on the Unix time (Epoch time) format.</p> <p>Annotation data are available for twelve task cycle executions and contain the semantic labels and temporal boundaries of each assembly action and for the ergonomic risk scores of body straining postures performed by the line worker during each task cycle execution. Data was provided by experts in manufacturing and ergonomics based on the MURI risk analysis tool.</p> <p>Documentation of this dataset can be found in [1].</p> <p>If you use the dataset in your research work, you are kindly asked to cite [1] in your publications.</p> <p>[1] Papoutsakis K, Papadopoulos G, Maniadakis M, Papadopoulos T, Lourakis M, Pateraki M, Varlamis I. Detection of Physical Strain and Fatigue in Industrial Environments Using Visual and Non-Visual Low-Cost Sensors. MDPI <em>Technologies</em>. 2022; 10(2):42. <a href="https://doi.org/10.3390/technologies10020042">https://doi.org/10.3390/technologies10020042</a></p>
2021 Soil and nutrient loss monitoring data of Sunjiagou sub-watershed
<p><span>This dataset observes soil and nutrient loss from runoff plots at a monitoring station in the black soil area in 2021. The details of the runoff plots are as follows: A1: 3°, smooth monopoly, planted with soybeans; A2: 3°, cross monopoly, planted with soybeans; A3: 3°, bare ground; B1: 5°, smooth monopoly, planted with soybeans; B2: 5°, cross monopoly, planted with soybeans and planted with purple acacia as a plant hedge; B3: 5°, bare ground.</span></p>
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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.