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6,452 results for “Application”
Figure 1 from: Canal NA, Hernández-Ortiz V, Tigrero Salas JO, Selivon D (2015) Morphometric study of third-instar larvae from five morphotypes of the Anastrepha fraterculus cryptic species complex (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 41-59. https://doi.org/10.3897/zookeys.540.6012
Figure 1 - Lateral view of mouth hook of the third instar larvae of Anastrepha fraterculus complex.
Figure 3 from: Mwatawala M, Virgilio M, Joseph J, De Meyer M (2015) Niche partitioning among two Ceratitis rosa morphotypes and other Ceratitis pest species (Diptera, Tephritidae) along an altitudinal transect in Central Tanzania. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 429-442. https://doi.org/10.3897/zookeys.540.6016
Figure 3 - Catches of Ceratitis rosa along the transect (different lures).
Figure 2 from: Mwatawala M, Virgilio M, Joseph J, De Meyer M (2015) Niche partitioning among two Ceratitis rosa morphotypes and other Ceratitis pest species (Diptera, Tephritidae) along an altitudinal transect in Central Tanzania. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 429-442. https://doi.org/10.3897/zookeys.540.6016
Figure 2 - Catches of Ceratitis species along the transect.
Figure 1 from: Mwatawala M, Virgilio M, Joseph J, De Meyer M (2015) Niche partitioning among two Ceratitis rosa morphotypes and other Ceratitis pest species (Diptera, Tephritidae) along an altitudinal transect in Central Tanzania. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 429-442. https://doi.org/10.3897/zookeys.540.6016
Figure 1 - Catches of the three Ceratitis species by lures.
Figure 1 from: Manni M, Lima KM, Guglielmino CR, Lanzavecchia SB, Juri M, Vera T, Cladera J, Scolari F, Gomulski L, Bonizzoni M, Gasperi G, Silva JG, Malacrida AR (2015) Relevant genetic differentiation among Brazilian populations of Anastrepha fraterculus (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 157-173. https://doi.org/10.3897/zookeys.540.6713
Figure 1 - Map of the collected samples.
Figure 1 from: De Meyer M, Delatte H, Mwatawala M, Quilici S, Vayssières J-F, Virgilio M (2015) A review of the current knowledge on Zeugodacus cucurbitae (Coquillett) (Diptera, Tephritidae) in Africa, with a list of species included in Zeugodacus. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 539-557. https://doi.org/10.3897/zookeys.540.9672
Figure 1 - Habitus image of Zeugodacus cucurbitae (photo R.S. Copeland).
Figure 1 from: Thiel R, Knebelsberger T (2016) How reliably can northeast Atlantic sand lances of the genera Ammodytes and Hyperoplus be distinguished? A comparative application of morphological and molecular methods. ZooKeys 617: 139-164. https://doi.org/10.3897/zookeys.617.8866
Figure 1 - Sampling sites of sand lance species of the genera Ammodytes and Hyperoplus.
Application of Bouguer-Lambert- Beer law to quantify complex IR pattern in absorption (A) and transmission (T) operation modes
<p>Experimental dataset of conventional IR spectra, their quantification and chemometric treatment. </p>
A Design Concept for Radiation Hardened RADFET Readout System for Space Applications (raw data from journal article)
<p>This upload contains raw data from the manuscript "A Design Concept for Radiation Hardened RADFET Readout System for Space Applications". The manuscript was published in Microprocessors and Microsystems, vol. 90, 2022.; DOI: 10.1016/j.micpro.2022.104486</p> <p>The upload consists of .pdf file of the manuscript and .opj files with raw data related to the figures in the manuscript. </p> <p>This work was supported in part by the European Union’s Horizon 2020 research and innovation programme (Grant No. 857558).</p>
Application of a split-Cre system for high-capacity adenoviral vector amplification
<p>Optimization of the method for production of High-Capacity Adenoviral vectors. Raw data.</p>
supplementary dataset for "Review of quantitative applications of the concept of the water planetary boundary at different spatial scales"
<p>This supporting information includes 6 spread sheets:</p> <p>Table S1 288_database search The studies collected through an adjusted search strategy from ISI Web of Science v.5.35.<br> Table S2 114_1st filter The studies passed the 1st filter and their category (Category I ).<br> Table S3 52_2nd filter The studies passed the 2ed filter and their category (Category II ).<br> Table S4 26_additional screening The studies collected through manual searching from the citations of 288 studies, as well as the range included in previous literature reviews.<br> Table S5 28_final The studies passed the three filters and three additional reports.<br> Table S6 488_data records The 488 data records collected from the 28 studies.<br> </p>
data set used for Application of Blockchain Technology Based on Artificial Intelligence Optimization in Communication Data Security Service
<p>This is the data set used to implement the project Application of Blockchain Technology Based on Artificial Intelligence Optimization in Communication Data Security Service</p>
Datasets used in Detecting Plumes in Mobile Air Quality Monitoring Time Series with Density-based Spatial Clustering of Applications with Noise v01
<p>This repository contains the following data sets related to Detecting Plumes in Mobile Air Quality Monitoring Time Series with DBSCAN published in . Please cite the following: .</p> <p>Validated_Data.csv: A .csv file containing the validation set used in the study. Column headings are the following:</p> <p>"Lat1": GPS latitude of car location in degrees.<br> "Long1": GPS longitude of car location in degrees.<br> "LST": Measurement time stamp. Time zone US/Central.<br> "BC": Black carbon measurements in ng/m^3<br> "CO2": Carbon dioxide measurements in ppm.<br> "UFP": Ultrafine particle count in particles/cc.<br> "NOx": Oxides of nitrogen, defined as the sum of NO and NO2, in ppb.<br> "Anomaly": What has been manually flagged as "Anomaly" (2) or "Normal" (1).<br> "Uniq_Fac": Factor from 1-30 mapping to different days of the campaign. For example, all measurements with Uniq_Fac = 1 belong to the same day.</p> <p>Labeled_DBSCAN_Anomalies.csv: A .csv file containing points labeled as anomalies by the DBSCAN algorithm described in the manuscript. Columns are the following.</p> <p>"BC": Black carbon measurement (ng/m^3)<br> "CO2": Carbon dioxide measurement (ppm)<br> "NOx": Oxides of nitrogen, defined as the sum of NO and NO2 (ppb)<br> "UFP": Ultrafine particle count (p/cc)<br> "Anomaly": Whether the DBSCAN algorithm has labeled this point as "Anomaly" (2) or "Normal" (1)<br> "Uniq_Fac": Factor spanning from 1-277 grouping measurements taken on separate days by car. E.g. all measurements with Uniq_Fac=1 were grouped and analyzed together.<br> "LST": Timestamp (US/Central)<br> "Road_Class": TigerLINE census road class designation for the given point. Possible road classes are S1100 - Primary Road, S1200 - Secondary Road, S1400 - Local Road, S1630 - Ramps, S1640 - Service Drives, S1730 - Private Roads<br> "X": Universal Transverse Mercator Easting for Zone 15N (m).<br> "Y": Universal Transverse Mercator Northing for Zone 15N (m).</p> <p>*_To_Be_Validated.csv: A series of files where * denotes the following.</p> <p>"DB": DBSCAN Algorithm<br> "QOR": QOR Algorithm<br> "QAND": QAND Algorithm<br> "Drew": Drewnick Algorithm</p> <p>Each file contains the following columns:</p> <p>"Lat1": GPS latitude of car location in degrees.<br> "Long1": GPS longitude of car location in degrees.<br> "LST": Measurement time stamp. Time zone US/Central.<br> "BC": Black carbon measurements in ng/m^3<br> "CO2": Carbon dioxide measurements in ppm.<br> "UFP": Ultrafine particle count in particles/cc.<br> "NOx": Oxides of nitrogen, defined as the sum of NO and NO2, in ppb.<br> "Anomaly": What has been flagged as "Anomaly" (2) or "Normal" (1).<br> "Uniq_Fac": Factor from 1-30 mapping to different days of the campaign. For example, all measurements with Uniq_Fac = 1 belong to the same day.</p>
IFCB Dataset for quantificaton applications
<p><strong>### IFCB Quantification</strong></p><p><strong>#### Introduction</strong></p><p><strong>This dataset is based on the data available publicly at https://github.com/hsosik/WHOI-Plankton.</strong></p><p>The scripts for the processing are available at https://github.com/pglez82/IFCB_Zenodo</p><p>Basically, this is the IFCB dataset with precomputed features for testing quantification algorithms.</p><p>Samples from 2006 to 2008 (286 samples) are considered as training data for quantification algorithms.</p><p>Samples from 2009 to 2014 (678 samples) are considered as test bags for which the prevalence of the classes must be predicted.</p><p>The dataset has 50 classes (check the IFCB.test_prevalences.zip) to get a list of the observed classes.</p><p>Deep features have been computed using a resnet34 finetuned in the train data (using the labels). This results in 512 features which are available for all the samples in the dataset.</p><p>The label of each example is also available for all the train examples.</p><p><br> </p>
Modeling the thermodynamic properties of cyclic alcohols with the SAFT-gamma Mie approach: application to cyclohexanol and menthol systems. Mol.Phys. 2024
<p>Calculated data and supporting information associated with Bernet et al. publication in Mol. Phys. 2024; Thomas Bernet, Shubhani Paliwal, Ahmed Alyazidi, Riccardo Standish, Andrew J. Haslam, Claire S. Adjiman, George Jackson, and Amparo Galindo</p> <p> </p>
Clinical Application of Wearable Ultrasound Sensors
ClinicalTrials.gov study NCT07009873. IPD Sharing: NO. Countries: 1. Publications: 0.
Study of Probiotic Potential of Lactobacillus Strains in the Upper Respiratory Tract After Nasal Spray Application
ClinicalTrials.gov study NCT03587545. IPD Sharing: NO. Countries: 1. Publications: 0.
LowSalt4Life: A Mobile Application to Reduce Sodium Intake And Blood Pressure
ClinicalTrials.gov study NCT05396001. IPD Sharing: YES. Countries: 1. Publications: 0.
Prospective Validation and Application of an Artificial Intelligence-based Model for Evaluating the Efficacy of Breast Cancer Patients After Neoadjuvant Therapy
ClinicalTrials.gov study NCT06649565. IPD Sharing: NO. Countries: 1. Publications: 0.
A Mobile Application, Oncpatient, to Assist Patients Undergoing Radiation Therapy
ClinicalTrials.gov study NCT05173961. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.