Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
8,460
datasets available to search
ShareScore release 0.9.0
Dataset results
8,460 results for “MONITORING”
Supporting data for the article 'Three-years monitoring of roadkills trends in a road adjacent to a national park in Panama'
<p><span><span><span><span><span><span><span><span><span><span><span>Roadkill monitoring can provide important information about spatial and temporal trends, including influential factors on the probability of wildlife – collisions. Such data are important for applying mitigation measures that reduce the mortality of species of conservation concern. Unfortunately, road ecology is not a mainstream discipline in some regions of the world and Central America represents one of those cases. I aimed to monitor roadkills in a road next to a national Park in Panama for three years. I examined whether there was variation in the number of roadkills across taxa (birds, mammals and reptiles), year (2017 – 2020), season (dry vs rainy) and whether monthly average precipitation and temperature influenced the probability of roadkill occurrence. Additionally, I performed a spatial analysis to identify roadkill hotspots. Mammals and reptiles were the most common roadkills. Roadkills tended to decrease with increases in temperature and precipitation. A separate analysis of the two most commons roadkills (iguanas and tamanduas) provided similar trends. The spatial analysis helped to identify a hotspot located in a curved section of the road and surrounded by water. This is the first study to examine for any road in Panama - through statistical modeling – factors </span></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><span>that may influence the occurrence of roadkill events. The results suggest that vehicle collisions </span></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><span>exert a similar pressure on all taxa and the geometry of the road or distance to the water are also influential. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>These data sets include monthly roadkill counts with average monthly precipitation and temperature during the dry and rainy season, over a period of three years (ALL.DATA). Two separate data sets (IGUANAS and TAMANDUAS) contain data as described for the tab ALL.DATA but only with data for green iguanas (Iguana iguana) and Northern Tamandua (Tamandua mexicana), respectively. For the spatial analysis, the data set COORDINATES show the location of each roadkill event, identified by latitude and longitude, date, taxa, IUCN status, scientific name and common name.</span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Monitoring chicken flock behaviour provides early warning of infection by human pathogen Campylobacter
Campylobacter is the commonest bacterial cause of gastrointestinal infection in humans and chicken meat is the major source of infection throughout the world. Strict and expensive on-farm biosecurity measures have been largely unsuccessful in controlling infection and are hampered by the time needed to analyze faecal samples with the result that Campylobacter status is often known only after a flock has been processed. Our data demonstrate an alternative approach that monitors the behaviour of live chickens with cameras and analyses the 'optical flow' patterns made by flock movements. Campylobacter-free chicken flocks have higher mean and lower kurtosis of optical flow than those testing positive for Campylobacter by microbiological methods. We show that by monitoring behaviour in this way, flocks likely to become positive can be identified within the first 7-10 days of life, much earlier than conventional on-farm microbiological methods. This early warning has the potential to lead to a more targeted approach to Campylobacter control and also provides new insights into possible sources of infection that could transform the control of this globally important foodborne pathogen.
Kieker monitoring data of application operation call traces of CoCoME
<p>The uploaded files represent different runs of CoCoME with different<br> workload configurations. In general the workloads start with<br> 10 shoppers shopping and is then interrupted by some administration<br> operations to adjust prices for a special sale. After that shoppers<br> return to the site. Depending on the workload in various numbers and<br> for different durations.</p> <p>In the following we explain the different workload configurations:<br> - kieker-20141103-195412267-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 100 iterations</p> <p>- kieker-20141104-140254415-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 500 iterations</p> <p>- kieker-20141104-003902628-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 150 iterations</p> <p>- kieker-20141103-232909805-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 50 shoppers for 100 iterations</p> <p>- kieker-20141103-215630838-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 120 shoppers for 100 iterations</p> <p>- kieker-20141104-070211796-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 90 iterations</p> <p>- kieker-20141104-060042643-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 70 iterations</p> <p>- kieker-20141104-050803295-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 50 iterations</p> <p>- kieker-20141104-011853225-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 200 iterations</p> <p>- kieker-20141104-032100601-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 300 iterations</p> <p>- kieker-20141103-212010120-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 10 shoppers for 100 iterations</p> <p>- kieker-20141103-190943649-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 20 shoppers for 100 iterations</p> <p>- kieker-20141104-020617388-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70-20 shoppers for 100 iterations</p> <p>- kieker-20141103-194453375-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 60 shoppers for 100 iterations</p> <p>- kieker-20141103-221637864-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 130 shoppers for 100 iterations</p> <p>- kieker-20141103-200357512-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 1 shoppers for 100 iterations</p> <p>- kieker-20141104-042254202-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 30 iterations</p> <p>- kieker-20141103-192643168-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 40 shoppers for 100 iterations</p> <p>- kieker-20141103-190203561-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 10 shoppers for 100 iterations</p> <p>- kieker-20141104-044425791-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 40 iterations</p> <p>- kieker-20141103-225338449-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 30 shoppers for 100 iterations</p> <p>- kieker-20141104-053345728-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 60 iterations</p> <p>- kieker-20141103-231115376-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 40 shoppers for 100 iterations</p> <p>- kieker-20141105-114942900-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 1000 iterations</p> <p>- kieker-20141103-193540165-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 50 shoppers for 100 iterations</p> <p>- kieker-20141104-073538044-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 80 shoppers for 100 iterations</p> <p>- kieker-20141103-191755265-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 30 shoppers for 100 iterations</p> <p>- kieker-20141103-210048642-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 100 shoppers for 100 iterations</p> <p>- kieker-20141103-234712972-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 60 shoppers for 100 iterations</p> <p>- kieker-20141104-022613492-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 250 iterations</p> <p>- kieker-20141105-144447507-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 2000 iterations</p> <p>- kieker-20141104-081423319-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 1 shoppers for 100 iterations</p> <p>- kieker-20141103-223632908-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 20 shoppers for 100 iterations</p> <p>- kieker-20141104-000527717-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 100 iterations</p> <p>- kieker-20141103-213652715-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 110 shoppers for 100 iterations</p> <p>- kieker-20141104-063024890-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 80 iterations</p> <p>- kieker-20141104-071827776-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 70 shoppers for 100 iterations</p> <p>- kieker-20141104-075444826-UTC-j2eeservice-KIEKER-TEST.tar.gz<br> - 90 shoppers for 100 iterations</p> <p>contact: reiner.jung@email.uni-kiel.de</p>
Laser cladding multispectral coaxial monitoring
<p>This is the first dataset containing data for some single laser cladding tracks when they were observed with NIR and S/MWIR cameras and different IR filters.</p>
FIGURE 30 in Unravelling the underestimated diversity of Philippine water monitor lizards (Squamata: Varanus salvator complex), with the description of two new species and a new subspecies
FIGURE 30. Dorsal view of the holotype of V. nuchalis (BMNH 1946.9.1.17). Photo by André Koch.
FIGURE 25 in Unravelling the underestimated diversity of Philippine water monitor lizards (Squamata: Varanus salvator complex), with the description of two new species and a new subspecies
FIGURE 25. Dorsal view of the holotype (SMF 73912) of V. palawanensis sp. nov. Photo by André Koch.
FIGURE 29. Adult V in Unravelling the underestimated diversity of Philippine water monitor lizards (Squamata: Varanus salvator complex), with the description of two new species and a new subspecies
FIGURE 29. Adult V. palawanensis sp. nov. from Palawan. Photo courtesy of Ingo Langlotz.
FIGURE 3 in A new melanistic species of monitor lizard (Reptilia: Squamata: Varanidae) from Sanana Island, Indonesia
FIGURE 3. The Sago Monitor in its preferred habitat, a Metroxylon swamp (Weijola photo).
EFFICIENT GENERATION OF RECEIVER OPERATING CHARACTERISTICS FOR THE EVALUATION OF DAMAGE DETECTION IN PRACTICAL STRUCTURAL HEALTH MONITORING APPLICATIONS
<p>Experimentally measured guided wave signal on a pipe over temperature cycles, used in the paper to construct synthetic datasets to evaluate performance of damage detection methods.</p>
Monitoring of Inundation Extent during 2010–2022 in the Inner Niger Delta using Landsat Imagery and Google Earth Engine
Open the record for dataset details and reuse information.
First-in-human trial of an ingestible vitals-monitoring pill
<p>Study data and code as published in DEVICE, November 17, 2023</p>
Acoustic Monitoring Dataset for Robotic Laser Directed Energy Deposition (LDED) of Maraging Steel C300
<p>This dataset presents a set of acoustic signals captured during a single-bead wall experiment in robotic Laser Directed Energy Deposition (LDED) using Maraging Steel C300. The acoustic data was recorded using a high-fidelity Prepolarized microphone sensor (Xiris WeldMIC), capturing the intricate sound profiles associated with the LDED process at a sampling rate of 44,100 Hz.</p><p><strong>Laser Directed Energy Deposition:</strong></p><p>This dataset was generated with a robotic LDED process that consists of a six-axis industrial robot (KUKA KR90) coupled with a two-axis positioner, a laser head, and a coaxial powder-feeding nozzle.</p><p> </p><p><strong>Folder Structure:</strong></p><ul><li><strong>/sample-1</strong>: The main folder for the experiment sample.<ul><li><strong>/audio_files</strong>: Contains 4624 <strong>.wav</strong> audio files, each representing a 40 ms chunk of the LDED process sound.</li><li><strong>/annotations_1.csv</strong>: A CSV file providing annotations for the audio files, labeling each as "Defect-free", "Defective", or "Laser-off".</li></ul></li><li>audio_features.h5: extracted acoustic features in time-domain, frequency-domain, and time-frequency representations (MFCC features). Feature extraction was conducted using Python Essentia Library.</li></ul><p> </p><p><strong>File Naming Convention:</strong></p><ul><li>Audio files within the <strong>audio_files</strong> folder are named following the pattern <strong>sample_ExperimentID_SampleID.wav</strong>. Given that there's only one experiment and one sample, the naming will be consistent, for example, <strong>sample_1_1.wav</strong> for the first file.</li></ul><p><strong>Annotation Details:</strong></p><ul><li>The <strong>annotations_1.csv</strong> file contains detailed labels for each audio file, correlating to the conditions observed during the experiment, aiding in quick identification and analysis.</li></ul><p><strong>Experimental Parameters:</strong> The dataset reflects a controlled experiment setup with the following specifications:</p><ul><li>Geometry: Single bead wall structure</li><li>Dimensions: 90 mm * 42.5 mm</li><li>Number of layers: 50</li><li>Laser beam diameter: 2 mm</li><li>Layer thickness: 0.85 mm</li><li>Stand-off distance: 12 mm</li><li>Laser profile: Gaussian</li><li>Laser wavelength: 1064 nm</li></ul><p><strong>Process Parameters:</strong></p><ul><li>Laser power: 2.3 kW</li><li>Speed: 25 mm/s</li><li>Dwell time: 0 s</li><li>Powder flow rate: 12 g/min</li></ul><p>This dataset aims to facilitate the development and testing of acoustic-based defect detection models for real-time quality monitoring in LDED processes. It can also serve as a reference point for further research on sensor fusion, machine learning, and real-time monitoring of manufacturing processes.</p>
Supplementary material 1 from: Osman OA, Andersson J, Martin-Sanchez PM, Eiler A (2022) National eDNA-based monitoring of Batrachochytrium dendrobatidis and amphibian species in Norway. Metabarcoding and Metagenomics 6: e85199. https://doi.org/10.3897/mbmg.6.85199
Table S1
MONITORING STUDENTS' KNOWLEDGE AND METHODS OF IMPROVING IT IN MATHEMATICS LESSONS
Open the record for dataset details and reuse information.
Data series of seismic events for the article "Seismic monitoring using the telecom fiber network"
<p>The file "catalog.h5" contains the catalog of seismic events analyzed in the paper "Seismic monitoring using the telecom fiber network" by S. Donadello et al., Commun Earth Environ 5, 178 (2024) <a href="https://doi.org/10.1038/s43247-024-01338-2">https://doi.org/10.1038/s43247-024-01338-2</a> (formerly "Earthquake observatory with coherent laser interferometry on the telecom fiber network" on arXiv preprint).</p> <p>The reported data correspond to raw recordings, acquired by coherent interferometry techniques on a telecommunication fiber (see also <a href="doi.org/10.1109/TIM.2023.3288255">https://doi.org/10.1109/TIM.2023.3288255</a>), and decimated to a lower sampling rate.</p> <p>The catalog is organized as about 900 seismic events in the period between June 19th, 2021 and Sept. 26th, 2022, between Feb. 6th and March 23th 2023, and between Nov. 9th, 2022 and Nov. 18th, 2022, according to the criteria described in the paper.</p> <p>A detailed description of the ".h5" file format is provided in "h5_file_description.txt".</p> <p>A Python3 script "h5_cat_parser.py" for data interpretation in terms of standard python structures is provided.</p>
Water level elevation data for monitoring wells and surface water gages at the Colorado State University Mountain Campus, 2019 – 2023
<p>This dataset contains groundwater and surface water levels measured between 2019 and 2023 at the Colorado State University Mountain Campus. The study site is situated within a formerly glaciated valley traversed by a modern perennial stream, the South Fork Cache la Poudre River, and occurs near the subalpine-montane ecosystem transition at an approximate elevation of 2,750 meters above sea level. Water levels were measured at two transects (the upstream and downstream transects). Each transect includes a surface water gage, two shallow hand-augered monitoring wells on the valley floor within the riparian zone, and a deeper water table observation well located on the adjacent terrace. Water levels were measured at a subhourly frequency using a combination of vented and non-vented pressure transducers. All data from non-vented transducers were corrected for barometric pressure fluctuations.</p>
Supplementary material 1 from: Goetz ARB, González-Sargas E, Vidal MC, Shafroth PB, Henry AL, Sher AA (2024) Outcomes of control and monitoring of a widespread riparian invader (Tamarix spp.): a comparison of synthesis approaches. NeoBiota 91: 67-98. https://doi.org/10.3897/neobiota.91.111628
Additional summaries of published literature
Supplementary material 2 from: Goetz ARB, González-Sargas E, Vidal MC, Shafroth PB, Henry AL, Sher AA (2024) Outcomes of control and monitoring of a widespread riparian invader (Tamarix spp.): a comparison of synthesis approaches. NeoBiota 91: 67-98. https://doi.org/10.3897/neobiota.91.111628
Reviewed publications
COMSOL - Modeling of a groundwater sampling event in a monitoring well incorporates the coupled effects of well storage and wellbore mixing.
<p>This is a coupled multiphysics flow and transport model that accounts for laminar flow and solute transport within the wellbore, and Darcy flow in the aquifer to investigate groundwater sampling events. The numerical model was developed and constructed in COMSOL Multiphysics® 6.0, a commercial finite element analysis and solver software. See <a href="https://www.comsol.com/">https://www.comsol.com/</a>. Simulation data is provided for homogenous and heterogenous aquifer conditions. </p>
Monitoring microplastics in the Seine River in the Greater Paris area 2021-2022
Open the record for dataset details and reuse information.
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.