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47,155 results for “evaluations”
dataset related to article "On the evaluation of edgeless diode detectors for patient-specific QA in high-dose stereotactic radiosurgery"
<p>The database contains the comparison table between calculated doses and values actually measured by the edgeless detectors and an example of dose planar distribution as exported from the radiotherapy Treatment Planning System.</p> <p> </p>
Data from: Evaluating temporal and spatial transferability of a tidal inundation model for foraging waterbirds
<p>For ecosystem models to be applicable outside their context of development, temporal and spatial transferability must be demonstrated. This presents a challenge for modeling intertidal ecosystems where spatiotemporal variation arises at multiple scales. Models specializing in tidal dynamics are generally inhibited from having wider ecological applications by coarse spatiotemporal resolution or high user competency. The Tidal Inundation Model of Shallow-water Availability (TiMSA) uniquely simulates tides to empirically derive a time-integrated measure of availability for a shallow water depth range defined by the user. To evaluate temporal and spatiotemporal transferability, we employed TiMSA at the development site in the Florida Keys and at novel sub-sites in the Florida Bay (application site) under a different time period (application period). We used foraging Little Blue Herons (<em>Egretta caerulea</em>) as the ecological unit with which to constrain the model's 'water depth window', i.e., range of water depths to estimate shallow-water availability. At the development site, temporally consistent water depth windows contrasted with interannual variation in shallow-water availability which revealed short-term changes in Little Blue Heron foraging habitat. At the application site, water depth accuracy varied by sub-site and was correlated with spatial error in bathymetric elevation. Although TiMSA parameters were sensitive to environmental temporal variation and uncertainty in spatial data, a spatially-explicit water depth window generated reliable estimates of shallow-water conditions over space and time at the development and application sites. By exploring the contributing factors to model error, we provide solutions to reduce uncertainty of TiMSA parameters at potential application sites and recommendations for addressing bathymetric inaccuracy in digital elevation models. Accurately quantifying spatiotemporal changes of shallow-water has implications for monitoring habitat conditions for tidally-influenced species and projecting future changes to coastal ecosystems in response to anthropogenic stressors and natural disturbances such as sea level rise.</p>
Data from: Evaluating the foraging performance of individual honey bees in different environments with automated field RFID systems
<p>Measuring the individual foraging performances of pollinators is crucial to guide environmental policies that aim at enhancing pollinator health and pollination services. Automated systems have been developed to track the activity of individual honey bees, but their deployment is extremely challenging. This has limited the assessment of individual foraging performances in full-strength bee colonies in the field. Most studies available to date have been constrained to use downsized bee colonies located in urban and suburban areas. Environmental policy-making, on the other hand, needs a more comprehensive assessment of honey bee performances in a broader range of environments, including in remote agricultural and wild areas. Here we detail a new autonomous field method to record high quality data on the flight ontogeny and foraging performance of honey bees, using Radio-Frequency Identification (RFID). We separate bee traffic into returning and exiting tunnels to improve data quality, solving many previous limitations of RFID systems caused by traffic jams and the parasitic coupling of RFID antennae. With this method, we assembled a large RFID dataset made of control bee colonies from experiments conducted in different locations and seasons. We hope our results will be a starting point to understand how ontogenetic and environmental factors affect the individual performances of honey bees, and that our method will enable the large-scale replication of individual pollinator performance studies.</p>
Diverse Topologies for Evaluation of Geometric Similarity Metrics
<p>A collection of 7 datasets with each set containing 3D shapes with varying topological complexity. The datasets can be used to compare different metrics of geometric dissimilarity. Two of the datasets have topologically complex shapes that resemble designs obtained from topology optimization, a widely used design optimization method for engineering structures.</p> <p>We used this dataset for a related journal article with the following abstract: "In the early stages of engineering design, multitudes of feasible designs can be generated using structural optimization methods by varying the design requirements or user preferences for different performance objectives. Data mining such potentially large datasets is a challenging task. An unsupervised data-centric approach for exploring designs is to find clusters of similar designs and recommend only the cluster representatives for review. Design similarity can be defined not only on a purely functional level but also based on geometric properties, such as size, shape, and topology. While metrics such as chamfer distance measure the geometrical differences intuitively, it is more useful for design exploration to use metrics based on <em>geometric features</em>, which are extracted from high-dimensional 3D geometric data using dimensionality reduction techniques. If the Euclidean distance in the <em>geometric features</em> is meaningful, the features can be combined with performance attributes resulting in an aggregate feature vector that can potentially be useful in design exploration based on both geometry and performance. We propose a novel approach to evaluate such derived metrics by measuring their similarity with the metrics commonly used in 3D object classification. Furthermore, we measure clustering accuracy, which is a state-of-the-art unsupervised approach to evaluate metrics. For this purpose, we use a labeled, synthetic dataset with topologically complex designs. From our results, we conclude that Pointcloud Autoencoder is promising in encoding geometric features and developing a comprehensive design exploration method."</p> <p>For each dataset, shapes/designs are saved as surface mesh files (extension: stl) and point cloud files (extension: ply) in the folders "stls" and "plys" respectively. A brief description of the 7 different datasets is in the following table. For each dataset, the designs are named using numbers starting from 0, e.g., “0.stl, 1.stl, …, 19.stl” in the folder for the surface mesh files. Some of the datasets are labeled, i.e., each design belongs to a class. In a labeled dataset, all classes have the same number of designs, and the designs are named in the order of their class. For example, a labeled dataset with 4 designs and 2 classes contains files whose names start with {0, 1, 2, 3} where the designs {0, 1} belong to class 1, and {2, 3} belong to class 2.</p> <table> <thead> <tr> <th scope="col">Dataset name</th> <th scope="col">Directory name</th> <th scope="col">Number of designs</th> <th scope="col">Number of classes</th> </tr> </thead> <tbody> <tr> <td>Beam-rotation</td> <td>"rotate_beam"</td> <td>20</td> <td>None</td> </tr> <tr> <td>Beam-elongation</td> <td>"elongate_beam"</td> <td>20</td> <td>None</td> </tr> <tr> <td>Beam-translation</td> <td>"move_beam"</td> <td>20</td> <td>None</td> </tr> <tr> <td>Three cube trusses</td> <td>"three_cube_truss"</td> <td>150</td> <td>6</td> </tr> <tr> <td>Single cube trusses</td> <td>"single_cube_truss"</td> <td>275</td> <td>11</td> </tr> <tr> <td>Random topologies</td> <td>"three_cube_truss_random"</td> <td>1000</td> <td>50</td> </tr> <tr> <td>Topologically optimized designs</td> <td>"cube_opt_shapes"</td> <td>1500</td> <td>None</td> </tr> </tbody> </table>
Supplementary files - Evaluation of MALDI-TOF MS technology in small ruminant milk adulteration using raw bovine milk
<p>The dataset is a part of Supplementary file for the manuscript:</p> <p><strong>Evaluation of MALDI-TOF MS technology in small ruminant milk adulteration using raw bovine milk</strong> by L. Rysova, P. Cejnar, O. Hanus, V. Legarova, J. Havlik, H. Nejeschlebova, I. Nemeckova, R. Jedelska, M. Bozik, submitted to <em>Journal of Dairy Science</em> (Manuscript ID JDS.2021-21396), Received October 8, 2021, Accepted January 31, 2022, Corresponding author: bozik@af.czu.cz, <a href="https://doi.org/10.3168/jds.2021-21396">https://doi.org/10.3168/jds.2021-21396</a></p> <p><strong>File 1:</strong> Detailed MALDI-TOF method description</p> <p><strong>File 2: </strong>Quantification of milk adulteration – calibration of the model Quantification of milk adulteration – calibration of the model</p> <p><strong>Table S1: </strong>Baseline characteristics of pure bovine milk which was used as an adulterant of caprine milk<strong> </strong></p> <p><strong>Table S2: </strong>Baseline characteristics of pure bovine milk which was used as an adulterant of ovine milk</p> <p><strong>Table S3: </strong>Root mean squared error (RMSE) of predicted caprine and ovine adulterated milk samples using set A as the training set and set B as the test set.</p> <p><strong>Table S4: </strong>Root mean squared error (RMSE) of predicted caprine and ovine adulterated milk samples using both, set A and set B , as the one training set and set C as the test set.</p> <p><strong>Table S5: </strong>Root mean squared error (RMSE) of predicted caprine and ovine adulterated milk samples using set AB as the training set and set C as the test set.</p> <p>In this version <strong>SD values in Table S2 were corrected</strong>.</p>
Europe1k evaluation output data
<p>This repository contains the evaluation output from the PCR-GLOWB model runs over Europe at 1 km, 10 km, and 50 km. The data is hence not the original output data which is too large in its entirety. The here available data is the result of the model output evaluation and contains metrics per water province. </p>
ESMARConf2022 evaluation responses and interaction statistics
<p>Responses to the ESMARConf2022 post-event evaluation for participants and presenters, statistics for the ESMARConf website (https://esmarconf.github.io), and YouTube channel viewing data for ESMARConf2021.</p>
Experimental performance evaluation of supercritical CO2 in brazed plate heat exchangers of the tri-partite gas cooler
<p>The experimental data of three brazed plate <a href="https://www.sciencedirect.com/topics/engineering/heat-exchanger">heat exchangers</a> serving as the gas coolers in a CO<sub>2</sub> system are investigated. The heat exchangers function for the DHW reheating, SH heating, and DHW preheating. The effects of the CO<sub>2</sub> <a href="https://www.sciencedirect.com/topics/engineering/inlet-pressure">inlet pressure</a>, CO<sub>2</sub> <a href="https://www.sciencedirect.com/topics/engineering/inlet-temperature">inlet temperature</a>, CO<sub>2 </sub><a href="https://www.sciencedirect.com/topics/engineering/mass-flowrate">mass flow rate</a>, water inlet temperature, and water <a href="https://www.sciencedirect.com/topics/engineering/mass-flowrate">mass flow rate</a> are analyzed. The system is operated and the experimental data are collected under three modes: DHW operation, SH operation and DHW+SH operation.</p> <p>Experimental data is linked to deliverable number: D4.3.</p>
Fig. 7 in Re-Evaluation Of Morphological Characters Questions Current Views Of Pinniped Origins
Fig. 7. Left lateral view of generalized skeleton of representative pinnipeds: A — otariids; B — odobenids; C — phocids. Dorsal view of left tarsus and metatarsus in D — otariids and E — phocids. Dorsal view of right astragali and calcanea (modified from Howell, 1929; Berta et al., 1999) of: F — otariid; G — odobenids; H — phocid; a — astragalar process and b — calcaneal tubercle. I — left astragalus of Erignathus barbatus (adult female, USNM 16116) in latero-palmar view; J — left calcaneum of Erignathus barbatus (adult female, USNM 16116) in dorsal view.
Fig. 2 in Re-Evaluation Of Morphological Characters Questions Current Views Of Pinniped Origins
Fig. 2. Carnivoran skulls showing location of the alisphenoid canal, indicated by arrows, and alisphenoid groove, indicated by double-headed arrows (modified from Koretsky and Rahmat, 2013) in: A — a representative of generalized otariids; B — Southern seal lion (Otaria byronia); C — brown bear (Ursus arctos); D — devinophocine seal Devinophoca emryi (USNM 553684); E — phocine seal Leptophoca lenis (CMM-V 2021); F — sea otter (Enhydra lutris).
Fig. 1 in Re-Evaluation Of Morphological Characters Questions Current Views Of Pinniped Origins
Fig. 1. Two competing hypotheses regarding phylogenetic relationships among pinnipeds: A — theory of pinniped monophyly proposes common ancestry for all pinnipeds from a terrestrial arctoid (Wyss, 1987; Flynn et al., 1988; Berta et al., 1989); B — alternative view of otarioid diphyly proposes independent origin of otarioid and phocid lineages from different terrestrial arctoid ancestors (Barnes, 1989).
Fig. 11 in Re-Evaluation Of Morphological Characters Questions Current Views Of Pinniped Origins
Fig. 11. Wagner consensus tree of the hypothesized phylogenetic relationships among pinnipeds, generated by Winclada based Hennig86 using 12characters. Tree length 24 maximum steps or 15 minimum steps; consistency index, 0.80; retention index, 0.80. Character states are given in table 1. Diphyly of the pinnipeds proposes independent origin of otarioid (Pacific origin) and phocid (Atlantic origin) lineages from different terrestrial arctoid groups and supports strictly monophyletic clade of walruses, sea lions, and their fossil relatives, excluding phocids.
Fig. 9 in Re-Evaluation Of Morphological Characters Questions Current Views Of Pinniped Origins
Fig. 9. Claws and cartilaginous extensions on the flipper of pinnipeds (modified from Howell, 1930 and Taylor, 1989) of: A — otariids (small claws and large cartilaginous extensions); B — odobenids (cartilaginous extensions of the phalanx and the nails are reduced to small nodules); C — phocids (large claw, even without a small nodules of the cartilaginous extensions); D — lutrines (with well-developed claws).
Machine learning algorithm evaluation
<p>This is the data management plan for the purpose of this report, to compare three different classifiers through supervised machine learning on two diverse datasets. The whole machine learning process was applied and conducted in different experiments. The exploration of the data sets as well as the preprocessing strategies are outlined in the following. Furthermore, the modelling processes and the performance measures on which their results are evaluated will be explained. Finally, different parameter adjustments and settings are compared and discussed which leads to a conclusion.</p>
Development and evaluation of a method to identify potential release areas of snow avalanches based on watershed delineation - source data
<p>Full data files for the paper:</p> <p>Duvillier, C., Eckert, N., Evin, G., and Deschâtres, M.: Development and evaluation of a method to identify potential release areas of snow avalanches based on watershed delineation, Nat. Hazards Earth Syst. Sci., 23, 1383–1408, https://doi.org/10.5194/nhess-23-1383-2023, 2023.</p> <p>Can be used to reproduce all the results of the paper and for further benchmarking of snow avalanche potential release area detection methods.</p>
Evaluating 3D Human Motion Capture using Apple ARKit against the Vicon System: A Dataset
<p><strong>A journal paper which was published in Applied Sciences gives detailed information about the dataset.</strong></p> <p>Reimer, L.M.; Kapsecker, M.; Fukushima, T.; Jonas, S.M. Evaluating 3D Human Motion Capture on Mobile Devices. Appl. Sci. <em>(2022)</em></p> <p><a href="https://www.mdpi.com/2076-3417/12/10/4806">https://www.mdpi.com/2076-3417/12/10/4806</a></p> <p>Please cite the corresponding paper when using the dataset.</p> <p> </p> <p>A dataset containing anonymized exercise data for eight exercises from ten subject. The exercise data was recorded with two iPads 11" (2021 version, Apple Inc., Cupertino, CA, USA) and a Vicon system. The two iPads were positioned frontal and in a 30° angle to the left side of the subject. The Vicon system used 14 cameras and captured the motion using the Full-body Plug-in-gait model.</p> <p>The dataset contains 220 files, 22 per subject. The structure of the dataset contains 10 folders, one per subject. Each folder contains two subfolders: ARKit and Vicon. Each ARKit folder holds two CSV files. Each Vicon folder holds 16 files, two per exercise: a .csv file with the motion data and a .xcp file containing meta data about the recording, including the camera setup and start/stop timestamps.</p> <p>Du to export problems, the ARKit files for the Side View do not always contain all joint data. The upper body joints are only available for three out of the ten subjects for the Side View.</p>
Embeddings models for Buddhist Sanskrit: Evaluation Datasets
<p>Evaluation Dataset used for the study published as Embeddings models for Buddhist Sanskrit, <em>LREC 2022 proceedings</em>. It contains a semantic similarity dataset and an analogy dataset, as well as the published study and a ReadMe file containing the guidelines used for scoring semantic similarity and some notes about the manual scoring task.</p> <p> </p> <p>The evaluation datasets have been prepared by Ligeia Lugli, Bruno Galasek-Hul, Luis Quiñones and Jai Paranjape</p> <p> </p>
Evaluation of selected semen parameters and biomarkers of male infertility – preliminary study
<p>Data base and statistics for publication entitled: Evaluation of selected semen parameters and biomarkers of male infertility – preliminary study.</p>
Evaluation of aquaculture regulations' adaptiveness to low trophic aquaculture (LTA) in selected countries and regions of the Atlantic.
<p>Assessments of documents relevant for LTA according to 15 adaptiveness criteria. Scores are assigned on the scale between -2 and 2. In total 22 documents are analyzed (5 for Galicia, Spain; 2 for Schleswig-Holstein, Germany; 8 for Scotland; 6 for Norway, 1 for South Africa and). General analysis is done for Brazilian aquaculture legislation. The data consists of an Excel file with scores and 6 pdf files with explanation of each score.</p>
Data from: Evaluating staging habitat quality to advance the conservation of a declining migratory shorebird, Red Knot Calidris canutus
<p>Identifying where and when population "bottlenecks" occur is critical to the conservation of migratory species, many of which are declining precipitously worldwide. Especially challenging is the evaluation of changes to staging sites. These sites are indispensable links in the migratory cycle but are typically used only briefly.</p> <p>We devised a field-based approach to assess the quality and carrying capacity of a critical staging site in Nanpu, China, for the declining, migratory Red Knot (Calidris canutus rogersi & C. c. piersmai) during northward migration. The Nanpu tidal flat supports 50,000-100,000 Red Knots annually, and while there, the knots feed almost exclusively on the bivalve Potamocorbula laevis. We simultaneously monitored changes in the abundance of Red Knots and bivalves across the entire staging site in spring 2018.</p> <p>After taking into account potential competition with other shorebird species, we estimated that the Nanpu tidal flat was capable of supporting approximately 1.46-1.70 times the current observed level of usage of the site by Red Knots, and therefore is operating below, but close, to carrying capacity with respect to food resources for Red Knots. This result suggests that any further development of this site could harm the EAAF Red Knot population.</p> <p>Synthesis and applications: Quantitative monitoring and evaluation of habitat quality of staging sites are essential to successfully conserve declining migratory species. In particular, researchers and conservation practitioners should incorporate both population size and staging duration in order to more accurately assess the importance of different sites and to quantify how changes in staging habitat quality may translate into changes in migrant population sizes at both local and global scales.</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.