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8,460
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Dataset results
8,460 results for “MONITORING”
Astra Memory Error and System Monitoring Data Sets
<p>Memory error events and system monitoring information gathered on Astra while it was operating from January 20, 2019 to September 14, 2019. See the dataset description files in the archive for additional details.</p>
Supplementary material 1 from: Weigand AM, Bücs S-L, Deleva S, Lukić Bilela L, Nyssen P, Paragamian K, Ssymank A, Weigand H, Zakšek V, Zagmajster M, Balázs G, Barjadze S, Bürger K, Burn W, Cailhol D, Decrolière A, Didonna F, Doli A, Drazina T, Dreybrodt J, Ðud L, Egri C, Erhard M, Finžgar S, Fröhlich D, Gartrell G, Gazaryan S, Georges M, Godeau J-F, Grunewald R, Gunn J, Hajenga J, Hofmann P, Knight LRFD, Köble H, Kuharic N, Lüthi C, Munteanu CM, Novak R, Ozols D, Petkovic M, Stoch F, Vogel B, Vukovic I, Hall Weberg M, Zaenker C, Zaenker S, Feit U, Thies J-C (2022) Current cave monitoring practices, their variation and recommendations for future improvement in Europe: A synopsis from the 6th EuroSpeleo Protection Symposium. Research Ideas and Outcomes 8: e85859. https://doi.org/10.3897/rio.8.e85859
Questionnaire for the 6th EuroSpeleo Protection Symposium 2022
Camera traps for monitoring insects - supporting information
<p>Insect and pollinator populations are vitally important to the health of ecosystems, food production, and economic stability, but are declining worldwide. New, cheap, and simple monitoring methods are necessary to inform management actions and should be available to researchers around the world.</p> <p>Here we evaluate the efficacy of commercially available, close-focus automated camera traps to monitor insect-plant interactions. We compared two video settings—scheduled and motion-activated—to a traditional human observation method.</p> <p>Our results show that camera traps with scheduled video settings detected more insects overall than humans, but relative performance varied by insect order. Scheduled cameras significantly outperformed motion-activated cameras, detecting more insects of all orders and size classes.</p> <p>We conclude that scheduled camera traps are an effective and relatively inexpensive tool for monitoring interactions between plants and insects of all size classes, and their ease of accessibility and set-up allows for the potential of widespread use. The digital format of video also offers the benefits of recording, sharing, and verifying observations.</p>
Field Implementation and Monitoring of an Ultra-High Performance Concrete Bridge Deck Overlay
<p>This project focused on field implementation of an ultra-high performance concrete (UHPC) overlay during rehabilitation of an existing concrete bridge (No. 7032) deck in Socorro, New Mexico, USA. Bridge 7032 is a two-lane bridge that is approximately 300 ft. (91.4 m) long and 54 ft. (16.5 m) in width. Rehabilitation of bridge 7032 included removal of deteriorated concrete from the existing deck, installation of a high-performance deck (HPD) leveling course, and installation of a 1 in. (25 mm) UHPC overlay. An UHPC mixture with a 19.5 ksi (134 MPa) compressive strength developed in previous research was selected for this project. This mixture was revised at the beginning of the project, highlighting the need for robust mixtures that can accommodate constituent material substitutions. Prior to placement of the UHPC overlay, the HPD substrate was ceramic bead blasted to remove surface paste and partially expose fine aggregate, thoroughly cleaned, and maintained saturated for 24 hours prior to UHPC placement.</p> <p>The non-proprietary UHPC overlay was successfully placed in four sections between April 10, 2021 and April 27, 2021. During construction of the UHPC overlay, a total of 105 batches were placed. The average direct tensile bond strength of the UHPC overlaid bridge deck was 239 psi (1.65 MPa), which is conservative since several of the tests had fractures that occurred at the epoxy-UHPC interface. Strain gauges and thermocouples were used to monitor the UHPC overlay and existing deck through initial, early-age, and longer-term monitoring programs. Temperature and strain monitoring showed that daily and multi-day strain trends coincided well with daily temperature trends.<br> Major observations during this field implementation project were that four small areas of possible delamination were identified using non-destructive testing, the bond strength was good since the 239 psi (1.65 MPa) average was conservative, preliminary monitoring results were consistent with expectations based on temperature measurements and restraint provided by the concrete superstructure, and relative strains from the monitoring data are being used for detailed analysis of the bridge and overlay behaviors for an ongoing NMDOT project that runs for another two years.</p>
Supplementary material 1 from: Anđelković AA, Lawson Handley L, Marchante E, Adriaens T, Brown PMJ, Tricarico E, Verbrugge LNH (2022) A review of volunteers' motivations to monitor and control invasive alien species. NeoBiota 73: 153-175. https://doi.org/10.3897/neobiota.73.79636
List of the studies used in the analysis
Supplementary material 2 from: Anđelković AA, Lawson Handley L, Marchante E, Adriaens T, Brown PMJ, Tricarico E, Verbrugge LNH (2022) A review of volunteers' motivations to monitor and control invasive alien species. NeoBiota 73: 153-175. https://doi.org/10.3897/neobiota.73.79636
Overview of the study characteristics and methodological approaches of the selected papers
NMR as a readout to monitor and restore the integrity of complex chemoenzymatic reactions
<p>The folder contains raw data used in the manuscript titled "NMR as a readout to monitor and restore the integrity of complex chemoenzymatic reactions". Data includes raw 1D NMR data, a new 1D isotope and diffusion filtered NMR pulse sequence, MALDI-TOF-MS data, and an SDS-PAGE gel image. </p>
Dataset supplementing "B. Ojha, M. Schober, S. Turad, J. Jochum and H. Kohler; Gasification of biomass: Very sensitive monitoring of TAR in syngas by determination of the oxygen demand– A proof of concept,Processes 2022"
<p>Dataset supplementing "B. Ojha, M. Schober, S. Turad, J. Jochum and H. Kohler;Gasification of biomass: Very sensitive monitoring of TAR in syngas by determination of the oxygen demand– A proof of concept,Processes 2022 "</p>
VideoS1 Blood flow monitoring during laser irradiation using SFI.
<p> Blood flow monitoring during laser irradiation using the SFI.</p>
Data 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.</p> <p>Files include the data necessary for the estimation of the population density by REM (DataREMZenodo.xlsx), data on indirect interactions recorded by camera traps at the pilot monitoring site level (DataIntZenodo.xlsx), and the metadata of the images (Metadata_imagesbyPP.xlsx).</p> <p> </p>
Supplementary material 1 from: Blancher P, Lefrançois E, Rimet F, Vasselon V, Argillier C, Arle J, Beja P, Boets P, Boughaba J, Chauvin C, Deacon M, Duncan W, Ejdung G, Erba S, Ferrari B, Fischer H, Hänfling B, Haldin M, Hering D, Hette-Tronquart N, Hiley A, Järvinen M, Jeannot B, Kahlert M, Kelly M, Kleinteich J, Koyuncuoğlu S, Krenek S, Langhein-Winther S, Leese F, Mann D, Marcel R, Marcheggiani S, Meissner K, Mergen P, Monnier O, Narendja F, Neu D, Onofre Pinto V, Pawlowska A, Pawlowski J, Petersen M, Poikane S, Pont D, Renevier M-S, Sandoy S, Svensson J, Trobajo R, Tünde Zagyva A, Tziortzis I, van der Hoorn B, Vasquez MI, Walsh K, Weigand A, Bouchez A (2022) A strategy for successful integration of DNA-based methods in aquatic monitoring. Metabarcoding and Metagenomics 6: e85652. https://doi.org/10.3897/mbmg.6.85652
Table S1
A mid-infrared lab-on-a-chip for dynamic reaction monitoring
<p>This file contains the as measured source data of the above-mentioned manuscript. </p>
Data from: Genotyping-in-Thousands by Sequencing panel development and application for high-resolution monitoring of introgressive hybridization within sockeye salmon
<p>Stocking programs have been widely implemented to re-establish extirpated fish species to their historical ranges; when employed in species with complex life histories, such management activities should include careful consideration of resulting hybridization dynamics with resident stocks and corresponding outcomes on recovery initiatives. Genetic monitoring can be instrumental for quantifying the extent of introgression over time, however, conventional markers typically have limited power for the identification of advanced hybrid classes, especially at the intra-specific level. Here, we demonstrate a workflow for developing, evaluating, and deploying a Genotyping-in-Thousands by Sequencing (GT-seq) SNP panel with the power to detect advanced hybrid classes to assess the extent and trajectory of intra-specific hybridization, using the sockeye salmon (<em>Oncorhynchus nerka)</em> stocking program in Skaha Lake, British Columbia, as a case study. Previous analyses detected significant levels of hybridization between the anadromous (sockeye) and freshwater resident (kokanee) forms of <em>O. nerka</em>, but were restricted to assigning individuals to pure-stock or "hybrid". Simulation analyses indicated our GT-seq panel had high accuracy, efficiency and power (> 94.5%) of assignment to pure-stock sockeye salmon/kokanee, F<sub>1</sub>, F<sub>2</sub>, and B<sub>2</sub> backcross-sockeye/kokanee. Re-analysis of 2016/2017 spawners previously analyzed using TaqMan<span> </span>assays and otolith microchemistry revealed shifts in assignment of some hybrids to adjacent pure-stock or B<sub>2</sub>-backcross classes, while new assignment of 2019 spawners revealed hybrids comprised 31% of the population, ~74% of which were B<sub>2</sub>-backcross or F<sub>2</sub>. Overall, the GT-seq panel development workflow presented here could be applied to virtually any system where genetic stock identification and intra-specific hybridization are important management parameters.</p>
Supplementary material 2 from: Sildever S, Nishi N, Inaba N, Asakura T, Kikuchi J, Asano Y, Kobayashi T, Gojobori T, Nagai S (2022) Monitoring harmful microalgal species and their appearance in Tokyo Bay, Japan, using metabarcoding. Metabarcoding and Metagenomics 6: e79471. https://doi.org/10.3897/mbmg.6.79471
Tables S1–S13
Supplementary material 1 from: Sildever S, Nishi N, Inaba N, Asakura T, Kikuchi J, Asano Y, Kobayashi T, Gojobori T, Nagai S (2022) Monitoring harmful microalgal species and their appearance in Tokyo Bay, Japan, using metabarcoding. Metabarcoding and Metagenomics 6: e79471. https://doi.org/10.3897/mbmg.6.79471
Figures S1–S6
Athena Gepvision Monitoring Tool video presentation
<p>Gender equality plan monitoring tool GepVision Athena, grant agreement n° 101006416</p>
Figure 1 in The diversity of polychaetes (Annelida: Polychaeta) in a longterm pollution monitoring study from the Levantine coast of Turkey (Eastern Mediterranean), with the descriptions of four species new to science and two species new to the Mediterranean fauna
Figure 1. Map of the study area with the location of monitoring stations.
Investigating multi-physical process and deformation mechanism of reservoir landslide using integrated multi-source monitoring
<p>Data to support this study are available.</p>
Yellow-spotted Monitor (Varanus panoptes)
SciDraw upload
Dataset: Impact Events for Structural Health Monitoring of a Plastic Thin Plate
<p>This repository contains a novel time-series dataset for impact detection and localization on a plastic thin-plate, towards Structural Health Monitoring applications, using ceramic piezoelectric transducers (PZTs) connected to an Internet of Things (IoT) device. The dataset was collected from an experimental procedure of low-velocity, low-energy impact events that includes at least 3 repetitions for each unique experiment, while the input measurements come from 4 PZT sensors placed at the corners of the plate. For each repetition and sensor, 5000 values are stored with 100 KHz sampling rate. The system is excited with a steel ball, and the height from which it is released varies from 10 cm to 20 cm.</p> <p>To the best of our knowledge, we are the first, to publish a public dataset that contains PZT sensors measurements concerning low-velocity, low-energy impact events in a thin plastic plate. In addition, we also contribute with our methodology on data collection using an SHM IoT system with resource constraints (based on Arduino NANO 33 MCU), as opposed to the majority of the literature that uses Oscilloscopes for data acquisition. This concept of an MCU-based system for data collection in SHM is especially important nowadays, due to the fast rise of extreme-edge and embedded machine learning practices solutions that enable a variety of real-time data-driven SHM applications. Finally, we wish to highlight that by using this specific Microcontroller Unit (MCU) and sensors, the proposed implementation aims for an overall low-cost data collection solution.</p> <p>The dataset has been published as a dataset paper in 20th ACM Conference on Embedded Networked Sensor Systems (SenSys 2022), in the following workshop: The Fifth International Workshop on Data: Acquisition To Analysis (DATA '22).</p> <p>The dataset is also available at https://github.com/Smart-Objects/Impact-Events-Dataset.</p>
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.