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8,460 results for “MONITORING”
Austrian Science Fund (FWF) Open Access Compliance Monitoring 2022
<p>I. Executive summary</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 2022, a total of 575 final reports were submitted to the FWF, 38 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 2022.</p> <p>Main findings:</p> <p>-A total of 8,312 publications were listed in the final project reports submitted in 2022.</p> <p>-Of those publications, 6,631 were conclusively identified as peer-reviewed.</p> <p>-Regarding compliance with the FWF's Open Access Policy, the analysis shows that 85% of the peer-reviewed publications listed in the final project reports submitted in 2022 were openly accessible (2015: 83%, 2016: 92%, 2017: 90%, 2018: 92%, 2019: 89%, 2020: 84%, 2021 82%).</p> <p>-The most frequently chosen option was hybrid open access (36%). The share of gold open access was 29%, the share of green open access 20%, and no open access 15%.</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 41%).</p> <p>-The absolute number of publications listed in final reports in 2022 included 354 publications that were mentioned several times in different projects; however, those repetitions did not affect the relative share of open access publications (85%).</p> <p>II. Bias</p> <p>All 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 2023. 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>
Datasets for Universal closed-tube barcoding for monitoring the shark and ray trade in megadiverse conservation hotspots
<p>Data repository accompanying manuscript titled of "Universal closed-tube barcoding for monitoring the shark and ray trade in megadiverse conservation hotspots" by Andhika Prima Prasetyo et.al</p>
Abb. 3 in Monitoring von Populationen der Helm-Azurjungfer Coenagrion mercuriale (Odonata: Coenagrionidae): Was taugen zwei Begehungen pro Saison?
Abb. 3. Standardisierte Abundanzwerte von Coenagrion mercuriale an zwölf Ab- schnitten verschiedener Wiesenbäche im Smaragdgebiet Oberaargau im Jahr 2009, erfasst mit einer Minimal- und einer Ma- ximalmethode. Die gestrichelte Linie be- zeichnet das theoretische 1:1 Verhältnis beider Methoden.
Abb. 2 in Monitoring von Populationen der Helm-Azurjungfer Coenagrion mercuriale (Odonata: Coenagrionidae): Was taugen zwei Begehungen pro Saison?
Abb. 2. Habitat von Coenagrion mercuriale im Smaragd-Gebiet Oberaargau: langsam fliessende, offene Wiesenbäche mit reichlicher Wasservegetation.
Data set from long-term wave, wind and response monitoring of the Bergsøysund Bridge
<p>Wind, wave, displacement and acceleration data have been collected in a measurement campaign on the Bergsøysund Bridge between the years 2014 and 2018. The data set is now available in this open-access research entry, for free access and download. The data is collected in two h5-files (hierachical data format), with sampling rates 2 Hz and 10 Hz, downsampled from the raw sampling rate of 200 Hz. Note that the data has undergone some minimal signal processing and adjustment, in line with that applied to the Hardanger Bridge data described in Fenerci et al. (2021). Tools and examples for import, data visualization and initial analysis are given in the opyndata Python package available on GitHub (Kvåle, 2022). Furthermore, a document briefly describing the hierarchy and structure of the data, is given. For more details on the measurement system and the bridge, it is referred to Kvåle and Øiseth (2017).</p> <p>The updated, copyrighted version of the appended preprint is published by ASCE with the following DOI: <a href="https://doi.org/10.1061/JSENDH.STENG-12095">10.1061/JSENDH.STENG-12095</a></p>
Multiparameter Water Quality Monitoring System for Continuous Monitoring of Fresh Waters Calibration and Measurement Data Set
<p>This data set contains calibration data for all sensors incorporated in the sensor node. It provides comparison measurements of TPL fluorescence taken by the node and reference spectrofluorimeter. Initial test measurements, as well as site measurements, are also provided. Finally, data from a heuristic method of TPL detection in the presence of algae and mud are also given.</p>
Robotic Monitoring of Alpine Screes: a Dataset from the EU Natura2000 habitat 8110 in the Italian Alps
<p>Data collected between the 19th and the 21rd of July 2022, in Valfurva, 23030 (SO), Italy, within the Stelvio National Park, located inside the Natura 2000 SPA IT2040044. The data acquisition has been conducted by a team composed of both robotic engineers and plant scientists. The platform used to collect the data is the ANYmal C quadrupedal robot.</p> <p> </p> <p>The dataset contains two different sets of data:</p> <p>1) typical and early warning species data - videos of seven different typical species of the habitat 8110 and one early warning species.</p> <p>2) monitoring mission data - video of the monitoring mission, robot status and point clouds, pictures and videos taken by the robot during the autonomous surveys.</p> <p> </p> <p>This dataset has a multidisciplinary scope and can be used by researchers in several fields. For instance, point clouds and information about the robot state could be used by robotic engineers to test or validate their own methods as well as benchmark the robot performance. On the other hand, plant videos and images recorded by the robot could be used by botanists to assess the quality of this information as well as the habitat's conditions, or by computer scientists interested in testing their AI algorithms for species detection and classification.</p>
Figure 3. A in A Low-Cost Trap to Monitor Parasitism of Macadamia Felted Coccid (Hemiptera: Eriococcidae) and Other Scale Insects
Figure 3. A. Encarsia lounsburyi parasitizing an MFC adult. B. A circular parasitoid emergence hole on an adult male MFC host, indicating parasitism.
Figure 2 in A Low-Cost Trap to Monitor Parasitism of Macadamia Felted Coccid (Hemiptera: Eriococcidae) and Other Scale Insects
Figure 2. The parasitoid emergence trap installed on a macadamia tree branch infested with macadamia felted coccid.
Figure 2 in Commercial Lure Comparison for Monitoring of Cryptophlebia spp. (Lepidoptera: Tortricidae) Associated with Macadamia in Hawai'i
Figure 2. Mean ± SEM number of male C. illepida moths captured in traps, baited with different commercially manufactured lures, deployed in Kea'au from November 2021 to January 2022.
Figure 1 in Commercial Lure Comparison for Monitoring of Cryptophlebia spp. (Lepidoptera: Tortricidae) Associated with Macadamia in Hawai'i
Figure 1. Mean ± SEM number of male C. ombrodelta moths captured in traps, baited with different commercially manufactured lures, deployed in Kea'au (A) and Kapa'au (B) from November 2021 to January 2022.
Figure 1. A. A low-cost 100 in A Low-Cost Trap to Monitor Parasitism of Macadamia Felted Coccid (Hemiptera: Eriococcidae) and Other Scale Insects
Figure 1. A. A low-cost 100 ml PET bottle can be used to construct a parasitoid emer- gence trap to study parasitism of MFC in the field. B. Basic components of the parasitoid emergence trap showing the PET bottle with modifications allowing for attachment to the tree branch and insertion of a glass collection vial. C. A fully assembled trap.
CORONASTEP: Monitoring of SARS-CoV-2 in Luxembourg wastewater
<p>This dataset presents the results of national-wide wastewater monitoring efforts in Luxembourg through the sampling of 13 different wastewater treatment plants across the country from March 2020 to 2023.</p>
Therapeutic drug monitoring of pazopanib in renal cell carci-noma and soft tissue sarcoma – a systematic review_Primary DATA
<p>Primary dataset of the search made for the systematic review: A systematic search of PubMed and Web of Science databases was conducted using search terms related to pazopanib and TDM. Out of 162 and 225 articles identified, respectively, nine articles were selected for review, as they evaluated treatment outcomes or toxicity concerning drug exposure</p>
Towards substitution of invasive telemetry: An integrated home cage concept for unobtrusive monitoring of objective physiological parameters in rodents - Minimal dataset
<p>Minimal dataset for unobtrusive monitoring of vital parameters in rodents.</p>
Data for "ChickenSense: A low-cost deep learning-based solution for real-time poultry feed intake monitoring using sound technology"
<p>The dataset includes two types of data: scale and audio. The scale data is recorded using a hanging scale and measures the feeders' weight with a 5 Hz frequency. The audio data contains 1824 hours of recorded audio using a piezo-electric sensor attached to a bucket feeder to capture vibrations as audio signals with a sampling rate of 48 kHz. Each .wav file contains 15 minutes of audio recording.<br> Along with the raw data, a part of the dataset containing 36 30-second audio recordings was sampled and labeled in four classes, including pecking, singing, anomaly, and silence, resulting in 3319 labeled events. </p>
Robotic Monitoring of Dunes: a dataset from the EU habitats 2110 and 2120 in Sardinia (Italy)
<p>Data collected between the 16th and the 19th of May 2022, in Platamona, 07037 (SS), Sardinia, Italy, within the Natura 2000 SAC ITB010003. The data acquisition has been conducted by a team composed of both robotic engineers and plant scientists. The platform used to collect the data is the ANYmal C quadrupedal robot. </p> <p>The dataset contains three different sets of data: <br> 1) species data - pictures and videos of three different typical species of the habitat 2110 and 2120 and one alien species.<br> 2) 3D mapping data - robot status and point cloud<br> 3) monitoring mission data - robot status and pictures and videos taken by the robot during the autonomous surveys.</p> <p>This dataset has a multidisciplinary scope and can be used by researchers in several fields. For instance, point clouds and information about the robot state could be used by robotic engineers to test or validate their own methods as well as benchmark the robot performance. On the other hand, plant videos and images recorded by the robot could be used by botanists to assess the quality of this information as well as the habitat's conditions, or by computer scientists interested in testing their AI algorithms for species detection and classification.</p>
Monthly averaged fast-ice thickness in McMurdo Sound from a sea-ice monitoring station
<p>Updated monthly averaged fast-ice thickness on level first year fast ice in McMurdo Sound, Antarctica from a sea-ice monitoring station. Fast-ice thickness is derived from temperature measurements and manual drill hole measurements, and linearly interpolated to produce mid-month values. Do not use the original version (SIMS_thickness.xlsx) as an error has been discovered. SIMS_thickness_V2.xlsx is the corrected dataset. A description of the stations and the methods used can be found in Gough et al., 2012 and Richter et al. 2022.</p> <p>Gough, A. J., Mahoney, A. R., Langhorne, P. J., Williams, M. J. M., Robinson, N. J., & Haskell, T. G. (2012). Signatures of supercooling: McMurdo Sound platelet ice. Journal of Glaciology, 58 (207), 38–50. doi:10.3189/2012jog10j218</p> <p>Richter, M. E., Leonard, G. H., Smith, I. J., Langhorne, P. J., Mahoney, A. R., & Parry, M. (2022). Accuracy and precision when deriving sea-ice thickness from thermistor strings: a comparison of methods. Journal of Glaciology, 1–20. doi:10.1017/jog.2022.108</p> <p> </p>
Data from: evaluating the use of lake sedimentary DNA in palaeolimnology: a comparison with long-term microscopy-based monitoring of the phytoplankton community
<p>Palaeolimnological records provide valuable information about how phytoplankton respond to long-term drivers of environmental change. Traditional palaeolimnological tools such as microfossils and pigments are restricted to taxa that leave sub-fossil remains, and a method that can be applied to the wider community is required. Sedimentary DNA (sedDNA), extracted from lake sediment cores, shows promise in palaeolimnology, but validation against data from long-term monitoring of lake water is necessary to enable its development as a reliable record of past phytoplankton communities. To address this need, 18S rRNA gene amplicon sequencing was carried out on lake sediments from a core collected from Esthwaite Water (English Lake District) spanning ~105 years. This sedDNA record was compared with concurrent long-term microscopy-based monitoring of phytoplankton in the surface water. Broadly comparable trends were observed between the datasets, with respect to the diversity and relative abundance and occurrence of chlorophytes, dinoflagellates, ochrophytes and bacillariophytes. Up to 20% of genera were successfully captured using both methods, and sedDNA revealed a previously undetected community of phytoplankton. These results suggest that sedDNA can be used as an effective record of past phytoplankton communities, at least over timescales of less than 100 years. However, a substantial proportion of genera identified by microscopy were not detected using sedDNA, highlighting the current limitations of the technique that require further development such as reference database coverage. The taphonomic processes which may affect its reliability, such as the extent and rate of deposition and DNA degradation, also require further research.</p>
Monitoring wildlife population trends with sample counts: A case study on the Alpine ibex (Capra ibex)
<p><span>Monitoring population dynamics is of fundamental importance in conservation but assessing trends in abundance can be costly, especially in large and rough areas. Obtaining trend estimations from counts performed in only a portion of the total area (sample counts) can be a cost-effective method to improve the monitoring and conservation of species difficult to count. </span></p> <p><span>We tested the effectiveness of sample counts in monitoring population trends of wild animals, using as a model population the Alpine ibex (<em>Capra ibex</em>) in the Gran Paradiso National Park (Italy), both with computer simulations and using historical count data collected over the last 65 years. Despite sample counts failed to correctly estimate the true population abundance, sampling half of the target area could reliably monitor the trend of the target population. In case of strong changes in abundance, an even lower proportion of the total area could be sufficient to identify the direction of the population trend. However, when there is a high yearly trend variability, the required number of samples increases and even counting in the entire area can be ineffective to detect population trends. The effect of other parameters, such as which portion of the area is sampled and detectability, was lower, but these should be tested case by case. </span></p> <p><span>Sample counts could therefore constitute a viable alternative to assess population trends, allowing for important, cost-effective improvements in the monitoring of wild animals of conservation interest. </span></p>
ScienceDex guides
Understand access before you commit
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.