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8,460 results for “MONITORING”
Coral reef benthic and fish monitoring data from Turneffe Atoll, Belize, 2010-2023
<p>Coral reefs are crucial centres of biodiversity, sustaining diverse marine species and providing ecosystem services to coastal communities. Monitoring coral reefs allows us to assess how the reefs are changing over time, discerning the potential impact of environmental changes, human activities, and climate events on their health and biodiversity. Here, we present a collection of data obtained through methodologies from the Mesoamerican Barrier Reef Systems Synoptic Monitoring Program (MBRS SMP) and Atlantic and Gulf Rapid Reef Assessment (AGRRA) protocols, including data of benthic point-intercept and invertebrate surveys, coral community characterizations, and reef fish surveys. The dataset encompasses observations spanning the years 2010 to 2023 within Turneffe Atoll Marine Reserve, Belize. By publishing this dataset, we aim to provide a resource for research endeavours related to coral reef dynamics and broader ecological trends. Use of this monitoring data supports the evolution of Turneffe Atoll Marine Reserve as a Marine Protected Area, contributing to informed decision-making and management strategies for the conservation of this vital ecosystem.</p>
Using mobile device built-in microphones to monitor bats: A new opportunity for large-scale participatory science initiatives
<p>Here we present audio data collected in the study titled "Using mobile device built-in microphones to monitor bats: a new opportunity for large-scale participatory science initiatives", now accepted for publication in Biodiversity and Conservation (DOI: 10.1007/s10531-024-02818-9).</p> <p>Citizen science has become a crucial tool in biodiversity monitoring, often facilitated by the diffusion of mobile devices, such as smartphones and tablets. High costs of professional equipment often limit large-scale monitoring, particularly in bat monitoring programmes based on acoustic surveys. Here we present the potential of using mobile devices for bat monitoring, allowing for large-scale, volunteer-based monitoring programmes. We initially compared mobile devices' performance with a professional bat detector for recording low-frequency bat calls. We then conducted a citizen science pilot study to test the method's feasibility in a real-world setting, recording echolocation and social calls of nine European bat species. We found high similarity in spectrogram quality between calls recorded by mobile devices and professional bat detectors. However, differences in sound quality and effectiveness among mobile device brands and models were found. The citizen science pilot study tested 35 mobile device models, all of which effectively recorded bats. This study suggests that mobile devices could be an accessible, no-cost tool for large-scale bat monitoring. Incorporating mobile devices into existing monitoring networks or creating new dedicated programmes could not only enhance data collection, but also boost public knowledge and awareness about bats, ultimately promoting informed decision-making and better conservation strategies.</p> <p>To facilitate a comprehensive evaluation of the acoustic data quality achievable through the described method, we are providing access to all bat recordings collected via mobile devices during the study. These have been compiled into the compressed file named "mobile_device_recs.zip".</p> <p>For those seeking a quicker review, we recommend downloading the "Appendix_S6_recs.zip" file, which contains selected examples of echolocation or social calls from the nine bat species recorded during our research. Spectrograms of these example recordings are displayed in Appendix S6 of the published study.</p>
Facilitation cascades across space: monitoring estuarine foundation species from satellites to the microscope
<p>Estuaries are productive ecosystems that are vulnerable to human impacts and environmental disturbances. Estuaries are often inhabited by foundation species that facilitate other organisms by creating and modifying habitats. However, spatiotemporal variability and underpinning drivers of facilitation from estuarine foundation species are poorly studied, especially in the context of monitoring and conservation. Here, we combined analyses of satellite, drone, and camera images, close-up field sampling of quadrats and individuals, and laboratory microscopy, to quantify co-occurrences between the cockle <em>Austrovenus stutchburyi</em> and green macroalga <em>Ulva</em> spp., and their associated invertebrate communities, across spatial resolutions and environmental gradients in a New Zealand estuary. We found a higher abundance of <em>Ulva</em> in winter and a higher abundance of <em>Austrovenus</em> at a site near the ocean. Furthermore, <em>Ulva</em> was, across space and time, often attached to <em>Austrovenus</em>, either live or dead shells, suggesting a hierarchy between a primary (cockle) and secondary (macroalgae) foundation species. Finally, <em>Ulva</em> provided a better habitat for mobile invertebrates than <em>Austrovenus</em>, and thereby increased estuarine diversity through a density-dependent facilitation cascade, that also was consistent in space and time. Overall, our study showed that facilitation cascades can be indirectly inferred and monitored through remote sensing of foundation species using supplementary imaging methods, and that integration of data across scales allows researchers to better understand drivers and consequences of facilitation from foundation species. These insights may aid the development of efficient monitoring strategies and ultimately improve management of estuarine ecosystems.</p>
A systematic review of global road ecology camera trap studies that monitored animals' use of wildlife crossings in road-fragmented landscapes
<p>Much research has emphasised the importance of incorporating wildlife crossing-structures in the design of road networks to facilitate connectivity of wildlife crossings in road-fragmented landscapes. Although camera traps have been effective in monitoring wildlife crossing structures, limited studies explore camera trap protocol to monitor wildlife use of crossing structures, particularly in Africa. Our study reviewed and assessed camera trap peer-reviewed research that monitored the use of crossing-structures by wildlife to navigate landscapes fragmented by roads. We found 70 camera trap peer-reviewed publications from 2001 to 2022 that monitored wildlife use of crossing-structures in landscapes intersected by roads, and these were from 22 countries and six continents. The included peer-reviewed studies varied significantly globally, with geographical trends indicating that most studies were conducted in North America. However, the methods used varied considerably between studies, especially in terms of camera trap placement protocol (placement height of camera trap, survey length, and camera multi-shot settings). This showed that camera trap usage for monitoring animal use of crossing structures is still an emerging area of research, and there is a potential for developing a standardised protocol for each type of crossing structure design and size. Future camera trap studies exploring wildlife use of crossing-structures should consider monitoring existing crossing structures (culverts, bridges, and tunnels) as this provides a less costly method of restoring landscape connectivity. We recommend that further research develop a standardised camera trap protocol for monitoring wildlife using crossing-structures to reduce the threats to biodiversity.</p>
Basal force fluctuations and granular rheology: Linking macroscopic descriptions of granular flows to bed forces with implications for monitoring signals
<p>Herein lies user defined functions, submission scripts, and intitial particle data necessary to build a discrete element solver (using MFiX-DEM version 21.1.1: https://mfix.netl.doe.gov/products/mfix/) and run a monodisperse pure granular flow with 5mm beads in a shear cell configuration. Contained within this dataset are particle velocity and force data for the entire collection of particles ('VELOCITY<em>'* </em>and 'FORCES*.DAT', respectively). This dataset also contains particle-force data recorded at the bottom force plate, writen at 10 kHz. Two MATLAB scripts are included for post processing the force plate data. </p>
Supplementary Movie 1 from: A genetically encoded biosensor to monitor dynamic changes of c-di-GMP with high temporal resolution
<p>This record contains<strong> Supplementary Movie 1</strong> from:</p> <p><strong>A genetically encoded biosensor to monitor dynamic changes of c-di-GMP with high temporal resolution</strong></p> <p>Andreas Kaczmarczyk, Simon van Vliet, Roman Peter Jakob, Raphael Dias Teixeira, Inga Scheidat, Alberto Reinders, Alexander Klotz, Timm Maier, Urs Jenal</p> <p>Biozentrum, University of Basel, 4056 Basel, Switzerland</p> <p>Correspondence to: urs.jenal[at]unibas.ch, andreas.kaczmarczyk[at]unibas.ch</p> <p> </p>
Monitoring of the dissolution/precipitation behavior of bioglass with simulated body fluid buffered by HEPES
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Data for Seismic Noise and Subsurface Velocity Characterization for a Unique Bedload Monitoring Observatory in a Dryland Ephemeral Channel
<p>Seismic dataset used in submitted manuscript "Seismic Noise and Subsurface Velocity Characterization for a Unique Bedload Monitoring Observatory in a Dryland Ephemeral Channel".</p>
Isotopic Constraints from Carbonates on the Thermochronologic Evolution of Fluid Flow and Faulting in the Monitor Range, Central Nevada, USA
<p>The dataset contains the following information:</p> <p>"Full data summary"- Isotopic data and GPS coordinates for all samples analyzed in this study.</p> <p>"L013 report", "L052 report"- Raw clumped isotope data for all samples.</p> <p>"U-Pb raw data"- Calcite U/Pb ratios of psuedo-spots for all unknown samples and standards analyzed in this study.</p> <p>"Yanay CC20"- Zircon U/Pb data for standards and unkown sample grains.</p>
Supporting data for "Geodetic monitoring of elastic and inelastic deformation in compacting reservoirs due to subsurface operations"
<p>Supporting data for "Geodetic monitoring of elastic and inelastic deformation in compacting reservoirs due to subsurface operations" </p> <p>Yuexin Li1*, Mateo Acosta1, Krittanon Sirorattanakul1, Stephen Bourne2, and Jean-Philippe Avouac1</p> <p>1 Division of Geological and Planetary Sciences, California Institute of Technology, USA<br>2 Shell Global Solutions International, Amsterdam, The Netherlands</p> <p>Nov 2024<br>Contact: Yuexin Li (yuexinli@berkeley.edu, yuexinli.sar@gmail.com)</p> <p> </p> <p>This study was supported by the NSF/Industry-University Collaborative Research Center 'Geomechanics and Mitigation of Geohazards' (National Science Foundation award # 1822214), and the Enhancement Project GMG-3 funded by Nederlandse Aardolie Maatschappij (NAM). M.A acknowledges funding from the Swiss National Science Foundation through grant P2ELP2195127 and from Caltech’s Resnick sustainability institute. We would like to acknowledge NAM for granting the access and permitting to present the InSAR and GNSS data.</p>
Telblokken voor de monitoring van patrijs in Oost-Vlaanderen met Cartoweb als achtergrond
<p>Deze dataset bevat voor elk Oost-Vlaams jachtveld, lid van een wildbeheerseenheid, een pdf met de telblokken voor de monitoring van patrijs (<em>Perdix perdix</em>). De naam van de bestanden bevatten het nummer van het jachtveld. Dit nummer komt overeen met de nummers in de officiële kaartlaag met <a href="https://www.geopunt.be/catalogus/datasetfolder/1b75c9a0-1f3a-493a-803f-81a866b5802f">jachtvelden</a>. De kaart bevat vier soorten gebieden: gebieden die geen deel uitmaken van een jachtveld (geen jacht), gebieden binnen een jachtveld dat geen open ruimte is, het huidige telblok en de overige telblokken.</p> <p> </p> <p>In principe bestaat elk jachtveld uit een telblok. We streven naar telbokken die niet groter zijn dan 150 ha en bij schaal 1:10.000 op een A4 passen. Is het jachtgebied te groot om aan deze voorwaarden te voldoen, splitsen we het in meerdere telblokken. Hiervoor gebruiken we de in OpenStreetMap beschikbare grenzen die op het terrein duidelijk zichtbaar zijn zoals wegen en waterlopen.</p>
Code and Training Data for "Cascaded Machine Learning of Soil Moisture and Salinity Prediction in Estuarine Wetlands based on In-situ Internet of Things Monitoring"
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Efficient CO₂ and CH₄ Flux Monitoring in Soil Microcosms Using an Automated Chamber with a Cartesian Robot
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Monitoring data 2022-2024 northern Mongolia
<p>This file contains temperature data monitored in three caves (Zuun Khargana, Khavtsgait agui, and Alag Erdene 9) in northern Mongolia. In addition, it also contains temperature data from a meteorological observatory of the administration of the Khuvsgul National Park, Hatgal.</p> <p>The data were collected between 2022 and 2024 and are presented and discussed in Box et al. (Cave and Karst Science).</p>
Raw data for "Application of biological early warning systems in wastewater treatment plants: Introducing a promising approach to monitor changing wastewater composition"
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SI-B for "Application of biological early warning systems in wastewater treatment plants: Introducing a promising approach to monitor changing wastewater composition"
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Advancing Plant Biomass Measurements: Integrating Smartphone-based 3D Scanning Techniques for Enhanced Ecosystem Monitoring
<p>This dataset accompanies the study "Advancing Plant Biomass Measurements: Integrating Smartphone-based 3D Scanning Techniques for Enhanced Ecosystem Monitoring." It provides resources supporting a novel approach to plant biomass measurement using smartphone-based 3D scanning. The following materials are included:</p> <ol> <li> <p><strong>Scaniverse.zip</strong>: Raw 3D scan data obtained using the Scaniverse app on an iPhone 15 Pro. These unprocessed scans represent the initial point cloud data as captured in the field.</p> </li> <li> <p><strong>Scaniverse_clipped.zip</strong>: Preprocessed datasets where the raw point clouds have been clipped to the extent of the vegetation, removing extraneous elements using CloudCompare's clipping tools. This ensures a focus on the relevant plant data for subsequent analyses.</p> </li> <li> <p><strong>Point2Voxel.ipynb</strong>: A Jupyter Notebook automating the transformation of preprocessed point clouds into a voxel-based representation. This pipeline includes volume calculation and other analyses. Additionally, a "Colab-ready" version of the notebook is provided to facilitate accessible execution and adaptation of the workflow.</p> </li> </ol> <p>These materials, processed and documented under a CC BY 4.0 license, aim to foster reproducibility and wider adoption of smartphone-based 3D scanning in ecological research, enabling non-destructive, cost-effective, and high-resolution monitoring of vegetation structure and biomass.</p>
Acoustic monitoring data Roaringwater Bay, SW Ireland.
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How to better count elusive birds? Comparing non-invasive monitoring methods to estimate population size of the endangered Pin-tailed sandgrouse (Pterocles alchata)
<p>Data to run analyses for manuscript comparing non-invasive monitoring methods to estimate Pin-tailed sandgrouse abundance</p>
Telblokken voor de monitoring van patrijs in Vlaams-Brabant met Cartoweb als achtergrond
<p>Deze dataset bevat voor elk Vlaams-Brabants jachtveld, lid van een wildbeheerseenheid, een pdf met de telblokken voor de monitoring van patrijs (<em>Perdix perdix</em>). De naam van de bestanden bevatten het nummer van het jachtveld. Dit nummer komt overeen met de nummers in de officiële kaartlaag met <a href="https://www.geopunt.be/catalogus/datasetfolder/1b75c9a0-1f3a-493a-803f-81a866b5802f">jachtvelden</a>. De kaart bevat vier soorten gebieden: gebieden die geen deel uitmaken van een jachtveld (geen jacht), gebieden binnen een jachtveld dat geen open ruimte is, het huidige telblok en de overige telblokken.</p> <p> </p> <p>In principe bestaat elk jachtveld uit een telblok. We streven naar telbokken die niet groter zijn dan 150 ha en bij schaal 1:10.000 op een A4 passen. Is het jachtgebied te groot om aan deze voorwaarden te voldoen, splitsen we het in meerdere telblokken. Hiervoor gebruiken we de in OpenStreetMap beschikbare grenzen die op het terrein duidelijk zichtbaar zijn zoals wegen en waterlopen.</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.