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8,460 results for “MONITORING”
FIGURE 2 in Integrative taxonomy and phylogeny-based species delimitation of Philippine water monitor lizards (Varanus salvator Complex) with descriptions of two new cryptic species
FIGURE 2. Distribution of Philippine species in the Varanus salvator Complex, and Maximum Likelihood phylogenetic inference (RAxML v7.5.4; Stamatakis, 2006) for the V. salvator Complex with Bayesian support values (MrBayes v3.2; Ronquist et al. 2011) mapped onto relevant nodes. Solid circles indicate posterior probabilities>95 and bootstrap support>75, open circles indicate bootstrap support>75 only. Asterisk "*" denotes sampling from Semirara Island. Open stars indicate type localities for V. dalubhasa sp. nov. (Bicol Peninsula, Luzon Island) and V. bangonorum sp. nov. (Mindoro Island). Scale bar represents number of changes.
FIGURE 9 in Integrative taxonomy and phylogeny-based species delimitation of Philippine water monitor lizards (Varanus salvator Complex) with descriptions of two new cryptic species
FIGURE 9. Holotype of Varanus bangonorum sp. nov. (PNM 9798), with body shown in dorsal and ventral aspects; and head shown in dorsal, ventral and profile aspects. Scale = 50 mm.
FIGURE 1 in On the type selection and re-typification of two monitor lizard taxa (Squamata: Varanidae): Monitor bivittatus celebensis Schlegel, 1844 and Monitor kordensis Meyer, 1874; with some comments and corrections on other name-bearing type specimens
FIGURE 1. The adult holotype (RMNH 3179) of Monitor bivittatus celebensis Schlegel, 1844 (at present Varanus salvator celebensis). Dorsal view (A), ventral view (B).
Glider and satellite high resolution monitoring of a mesoscale eddy in the algerian basin: Effects on the mixed layer depth and biochemistry
<p>Despite an extensive bibliography for the circulation of the Mediterranean Sea and its sub-basins, the debate on mesoscale dynamics and their impacts on bio-chemical processes is still open because of their intrinsic time scales and of the difficulties in their sampling. In order to clarify some of these processes, the “Algerian BAsin Circulation Unmanned Survey-ABACUS” project was proposed and realized through access to the JERICO Trans National Access (TNA) infrastructure between September and December 2014. In this framework, a deep glider cruise was carried out in the area between the Balearic Islands and the Algerian coast to establish a repeat line for monitoring of the basin circulation. During the mission a mesoscale eddy, identified on satellite altimetry maps, was sampled at high-spatial horizontal resolution (4 km) along its main axes and from the surface to 1000 m depth. Data were collected by a Slocum glider equipped with a pumped CTD and biochemical sensors that collected about 100 complete casts inside the eddy. In order to describe the structure of the eddy, in situ data were merged with next generation remotely sensed data: daily synoptic sea surface temperature (SST) and chlorophyll concentration (Chl-a) images from the MODIS satellites, as well as sea surface height and geostrophic velocities from AVISO. From its origin along the Algerian coast in the eastern part of the basin, the eddy propagated northwest at a mean speed of about 4 km/day, with a mean diameter of 112–130 km, mean amplitude of 15.7 cm; the eddy was clearly distinguished from the surrounding waters thanks to its higher SST and Chl-a values. Temperature and salinity values over the water column confirm the origin of the eddy from the Algerian Current (AC) showing the presence of recent Atlantic water in the surface layer and Levantine Intermediate Water (LIW) in the deeper layer. The eddy footprint is clearly evident in the multiparametric vertical sections conducted along its main axis.</p> <p>Deepening of temperature, salinity and density isolines at the center of the eddy is associated with variations in Chl-a, oxygen concentration and turbidity patterns. In particular, at 50 m depth along the eddy borders, Chl-a values are higher (1.1–5.2 μg/l) in comparison with the eddy center (0.5–0.7 μg/l) with maximum values found in the southeastern sector of the eddy.</p> <p>Calculation of geostrophic velocities along transects and vertical quasi-geostrophic velocities (QG-w) over a regular 5 km grid from the glider data helped to describe the mechanisms and functioning of the eddy. QG-w presents an asymmetric pattern, with relatively strong downwelling in the western part of the eddy and upwelling in the southeastern part. This asymmetry in the vertical velocity pattern, which brings LIW into the euphotic layer as well as advection from the northeastern sector of the eddy, may explain the observed increases in Chl-a values</p>
In-situ, time resolved monitoring of uranium in BFS:OPC grout. Part 1: Corrosion in water vapour.
<p>Uranium encapsulated in grout was exposed to water vapour for extended periods of time. Through synchrotron x-ray powder diffraction and tomography measurements, uranium dioxide was determined the dominant corrosion product over a 50-week time period. The oxide growth rate initiated rapidly, with rates comparable to the U + H<sub>2</sub>O reaction. Over time, the reaction rate decreased and eventually plateaued to a rate similar to the U + H<sub>2</sub>O + O<sub>2</sub> reaction. This behaviour was not attributed to oxygen ingress, but instead the decreasing permeability of the grout, limiting oxidising species access to the metal surface.</p>
Italian results from the monitoring of pesticide residues in food
<p>This dataset contains the analytical results of pesticide residues measured in the food products analysed by the national competent authorities. Pesticide residues resulting from the use of plant protection products on crops that are used for food or feed production may pose a risk factor for public health. For this reason, a comprehensive legislative framework has been established in the European Union (EU), which defines rules for the approval of active substances used in plant protection products, the use of plant protection products and for pesticide residues in food. In order to ensure a high level of consumer protection, legal limits, so called “maximum residue levels” or briefly “MRLs”, are established in Regulation (EC) No 396/2005. EU-harmonised MRLs are set for all pesticides covering all types of food products. A default MRL of 0.01 mg/kg is applicable for pesticides not explicitly mentioned in the MRL legislation. Regulation (EC) No 396/2005 imposes on Member States the obligation to carry out controls to ensure that food placed on the market is compliant with the legal limits.</p> <p>A sample is considered <strong>free of quantifiable residues</strong> if the analytes were not present in concentrations at or above the limit of quantification (LOQ). The LOQ is the smallest concentration of an analyte that can be quantified with the analytical method used to analyse the sample. It is commonly defined as the minimum concentration of the analyte in the test sample that can be determined with acceptable precision and accuracy.</p> <p>If a sample <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample with quantified residue levels within the legal limits (below or at the MRL)</p> <p>A sample is considered <strong>non-compliant</strong> with the legal limit (MRL), if the measured residue concentrations clearly exceed the legal limits, taking into account the measurement uncertainty. It is current practice that the uncertainty of the analytical measurement is taken into account before legal or administrative sanctions are imposed on food business operators for infringement of the MRL legislation.</p> <p> </p> <p><strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong></p> <p>MOPER_2023 - Ministry of Health</p> <p>MOPER_2022 - Ministry of Health</p> <p>MOPER_2021 - Ministry of Health</p> <p>MOPER_2020 - Ministry of Health</p> <p>MOPER_2019 - Ministry of Health</p> <p>MOPER_2018 - Ministry of Health</p> <p>MOPER_2017 - Ministry of Health</p> <p>MOPER_2016 - Ministry of Health</p> <p>MOPER_2015 - Ministry of Health</p> <p>MOPER_2014 - Ministry of Health</p> <p>MOPER_2013 - Ministry of Health</p> <p>MOPER_2012 - Ministry of Health</p> <p>MOPER_2011 - Ministry of Health</p> <p> </p> <p><strong>We are seeking feedback on our open data please complete the survey at the link below:<br>https://ec.europa.eu/eusurvey/runner/9344dfa0-f384-cb72-65f6-6c187a6d0f14</strong></p>
Data and Code for "Space-time correlations in monitored kinetically constrained discrete-time quantum dynamics"
<div> <pre>This repository contains the source code, notebooks, data and basic figures for the manuscript <br>"Space-time correlations in monitored kinetically constrained discrete-time quantum dynamics". <br><br>Comments welcome. </pre> </div>
USAID PEER Project 6-134 Madagascar: Community-based monitoring and management of Madagascar's National Park protected areas
<p>Data pertinent to USAID PEER Project 6-134 Madagascar.</p><p>Please see the following page for project info and updates:</p><p>https://sites.nationalacademies.org/PGA/PEER/PEERscience/PGA_181428</p>
Pressure monitoring dataset and frequency domain analysis in Padua water distribution network
<p>The dataset includes:</p><ul><li>the acquired pressure signal at measurement section P036 with a high sampling frequency (indicated by "fre") for 24 hours;</li><li>the frequency domain analysis of three pressure datasets within a certain range, "omega", of frequencies</li></ul>
Open urban mmWave radar and camera vehicle classification dataset for traffic monitoring
<h2><strong>Open urban mmWave radar and camera vehicle classification dataset for traffic monitoring</strong></h2><h3><strong>Description</strong></h3><p>The archive contains a dataset that can be used for multi-sensor-based vehicle detection/classification. Each part of the dataset is divided into four separate subfolders. All the footage was collected from different parts of Tallinn during the late winter and early spring. The dataset contains 8393 frames. Each frame comes with a corresponding annotation in XML and YOLO formats and a JSON file containing mmWave radar point cloud data. </p>
Deep learning low-cost photogrammetry for 4D short-term glacier dynamics monitoring - Supplementary material
<p>This repository contains the supplementary material for the paper "Deep learning low-cost photogrammetry for 4D short-term glacier dynamics monitoring".</p><p>The paper is currently under revision. This repository will be updated once the paper will be published.</p><p>In particular the repository includes:</p><ol><li>The datasets used for performing the multi-temporal stereoscopic analysis of the Belvedere Glacier during the summer season 2022.</li><li>The code of ICEpy4D v1.9.0 used for processing the stereoscopic data. An updated version of ICEpy4D can be found in the Github repository https://github.com/franioli/icepy4d </li></ol><p> </p><p><br> </p>
Tutorials of procedures intended for remote monitoring of OA
<p>Video tutorials of the procedures and technologies intended for a remonte monitoring of OA</p>
Multiscale drainage dynamics with Haines jumps monitored by stroboscopic 4D X-ray microscopy
<p>This dataset accompanies the article "Multiscale drainage dynamics with Haines jumps monitored by stroboscopic 4D X-ray microscopy" (DOI: 10.1073/pnas.2305890120) and constitutes the segmented volume differences of Haines jump H9 and the associated interface velocities. These datasets are provided as two zip-folders:velocityH9 and jump9.</p> <p>The segmented dataset has the following labels:<br>0: No volume change<br>1: Advancing air phase<br>2: Retracting air phase<br>3: Glass shards</p> <p>The voxel size is 3.66 um.</p> <p>The velocities are provided as .vtk files and can be visualized in open-source software such as Paraview.</p>
Ultra-sensitive ctDNA monitoring required for predicting response and resistance to immunotherapy in advanced melanoma
<p>Data and supporting code for the manuscript "Ultra-sensitive ctDNA monitoring required for predicting response and resistance to immunotherapy in advanced melanoma".</p>
Raw data for Evaluating community-wide temporal sampling in passive acoustic monitoring: A comprehensive study of avian vocal patterns in subtropical montane forests
<p>This dataset, utilized in the research paper "<a href="https://doi.org/10.12688/f1000research.141951.1">Evaluating community-wide temporal sampling in passive acoustic monitoring: A comprehensive study of avian vocal patterns in subtropical montane forests</a>", comprises columns such as site_name, longitude (WGS84), latitude (WGS84), altitude (meters above sea level), vegetation types, date, hour, minute, julian_day, scientific_name, and Vocal Activity Rate per minute (VAR_m). It encompasses data gathered from twelve Passive Acoustic Monitoring (PAM) stations positioned within Yushan National Park (YSNP), Taiwan. The collection period spanned from March 1 to June 30, 2021. The dataset documents 8,202,731 vocalizations from twelve bird species, detected using an automated sound identification tool named SILIC (Sound Identification and Labeling Intelligence for Creatures). The vocalization data is aggregated by site, species, and time (down to the minute).</p>
Supplementary material 1 from: Sosa-López JR, Díaz Bernal NN, Padilla E, Briones-Salas M (2023) Analysis of the effects of habitat characteristics, human disturbance and prey on felids presence using long-term community monitoring information. Nature Conservation 53: 279-295. https://doi.org/10.3897/natureconservation.53.104135
Sampling sites and dates on which the camera-traps were installed and Generalized linear mixed models (GLMM) for Puma, Bobcat and Margay
[Data] Self-Supervised Bayesian Representation Learning of Acoustic Emissions from Laser Powder Bed Fusion Process for In-situ Monitoring
<div> <div> <div> <p>Different Laser Powder Bed Fusion (LPBF) process spaces were deliberately introduced by employing two distinct 316L stainless steel powder distributions (with particle sizes >45 μm and < 45 μm) and processing them with two sets of laser parameters, resulting in the creation of four datasets [D1, D2, D3, and D4]. These datasets encompass LoF pores, conduction mode, and keyhole formations, each associated with three LPBF regimes denoted as D1, D2, D3, and D4. The experiments utilized a Sisma MYSINT 100 commercial LPBF printer and an airborne AE sensor system with a flat frequency response ranging from 0 to 150 kHz. Validation of the ground truths for the three laser regimes across the four datasets, representing distinct process spaces, was accomplished through the confirmation of cross-sectional images. In the course of fabricating a cube using a powder bed and laser, data acquisition from an AE sensor was triggered when the optical intensity reached a threshold of 0.5 V for each scan length. The photodiode trigger gain was adjusted to saturate at 5 V, and the ensuing continuous-time window, where the optical signal remained at 5 V for 12.5 ms, was calculated and segmented to generate the dataset. Irrespective of the specific regime (Lack of Fusion, Conduction, and Keyhole) or the cube being fabricated (with two powder distributions), the signals obtained during this process were then segmented into a 12.5 ms window comprising 5000 data points. To eliminate any noise, an offline application of a low-pass Butterworth filter with a 150 kHz cut-off frequency was employed, aligned with the frequency response specification of the AE sensor. Each dataset has two files against it [raw/groundtruth label].</p> </div> </div> </div>
Dataset for "MarMot: Metamorphic Runtime Monitoring of Autonomous Driving Systems"
<p>This is the dataset used in the paper "MarMot: Metamorphic Runtime Monitoring of Autonomous<br> Driving Systems".</p>
Data from: drones as a tool to study and monitor endangered Grey Crowned Cranes (Balaerica regulorum): behavioural responses and recommended guidelines
<p>These data detail the results of an investigation into the impact of drones and on-foot approaches on the behaviour of the endangered Grey Crowned Crane (<em>Balearica regulorum</em>). In total, 313 drone flights and 56 on-foot approaches were conducted over three different Grey Crowned Crane group types - pairs (110 flights, 26 on-foot), families (66 flights, 7 on-foot), and flocks (110 flights, 23 on-foot). Response data describe the number of birds exhibiting a particular behaviour (1 - no behaviour change, 2 - heads raised to observe surroundings, 3 - wings raised, 4 -moving away, and 5 - flying away) based on a photograph taken during the approach. Predictor data include the distance between the drone or on-foot observer and the bird grouping and a description of the group type. The number of individuals in the group can be inferred from the response data.</p>
Dataset for the seismically monitored experiments of free-fall granular masses
<p>Datasets related to the paper "Experiments on Landquakes Generated by Free-fall Granular Masses: Implications for Rockfall Impacting Dynamics", submitted to <em>Earth and Space Science</em>.</p> <p>S1_images_the dynamic evolution of the free-fall granular masses tracked by a high-speed camera.</p> <p>S2_data_ data of vertical acceleration signals for all tests recorded by an accelerometer.</p> <p>S3_data_ data of the extracted seismic parameters including maximum seismic amplitude, mean frequency and radiated seismic energy for all tests.</p> <p>S4_data_ data supporting the relationships between intermediate functions associated with the maximum seismic amplitude, mean frequency and seismic energy and number of particles.</p> <p>S5_data_ data supporting the successive velocity profiles and acceleration profiles along the vertical direction of the granular mass.</p> <p>S6_data_ data supporting the relationships between the ratio of components in a granular mass contributing to the maximum seismic amplitude with the number of layers.</p> <p>S7_data_data supporting the relationships between intermediate coefficients associated with the maximum seismic amplitude, mean frequency and seismic energy and the number of layers of granular masses.</p> <p>S8_data_ data of spectrogram of condition D5 computed using Stockwell transform based on the acceleration signals recorded by an accelerometer.</p> <p>S9_data_ data supporting the evolutions of horizontal and vertical motion components of granular masses of tests C1-C5 over time.</p> <p>S10_data_ data supporting the relationships between characteristic frequency and the velocity vector of granular masses of series C, D, E and F.</p>
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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.