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47,155 results for “evaluations”
Data from "Evaluating the Risk of Data Loss Due to Particle Radiation Damage in a DNA Data Storage System"
<p>Raw sequencing data from irradiated DNA samples and controls.<br>Sequences for encoded files used in the irradiation studies.<br>Please see the publication's Source Data file for mapping to encoded files.</p>
Evaluation of the influence of rain on air surface temperature measurements
<h2>Description</h2> <p>The dataset is constituted by three .csv files, which contain the measurements performed in an experiment aiming to evaluate the influence of rain on temperature readings. Two devices under tests (DUTs), one naturally ventilated and one artificially ventilated, are compared with a reference system. A .csv file is produced for DUT1, DUT2 and the reference system. Here below the content of each file is briefly described:</p> <ul> <li>Dataset_reference: accurate air temperature measurements obtained using the reference system, which is not affected by rain. The system is constituted by four aspirated thermometers (called Meteo1, Meteo2, Meteo 3, Meteo 4) manufactured at the Danish Technology Institute. The column "PT500" contains instead the rain temperature measurements. The readings are produced using a Fluke Super-DAQ (1586A). </li> <li>Dataset_DUT1: measurements of the naturally ventilated thermometer under an artificially generated rainfall. The readings are produced using the manufacturer datalogger.</li> <li>Dataset_DUT2: measurements of the artificially ventilated thermometer under an artificially generated rainfall. The readings are produced using the manufacturer datalogger.</li> </ul>
Fig. 32 in Taxonomic re-evaluation of Andrena cyanomicans PÉREZ, 1895, A. fratella WARNCKE, 1968, A. maderensis WARNCKE, 1969, A. mirna WARNCKE, 1969, A. notata WARNCKE, 1968, and A. portosanctana WARNCKE, 1969 (Hymenoptera, Anthophila)
Fig. 32: Morphometric analyses (males) of pterostigma length (PSL) and wing length (WL).
Elevation Models for Reproducible Evaluation of Terrain Representation – Multiscale Models – Churfirsten ASCII
<p>Multiscale elevation models centered on Churfirsten, Switzerland</p> <p>Resolutions: 0.5, 2, 5, 10, 15, 30, 60, 120, 250, 500, 1,000, and 2,000 meters, 3,000 × 2,500 height samples each</p> <p>File format: Esri ASCII grid</p> <p>When using these elevation models in an academic publication, please cite the following article, which describes the process and rationale for compiling these models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
Evaluation of orthodontically induced external root resorption following orthodontic treatment using Cone Beam Computed Tomography (CBCT): a systematic review and meta-analysis
<p>Datasets for all analyses performed in the paper.</p>
Dataset to reproduce the paper "A new framework to evaluate urban design using urban microclimatic modelling in future climatic conditions"
<p>This dataset has been generated with the paper " A new framework to evaluate urban design using urban microclimatic<br> modelling in future climatic conditions" (https://doi.org/10.3390/su10041134). A Python notebook is also included to conduct the analysis.</p> <ol> <li>Data analysis - Sustainability paper.ipynb : Python notebook</li> <li>Geneva_Eur11_TDY_2010_2039 : Climate file for the year 2039 obtained from RCA4</li> <li>Geneva_Eur11_TDY_2010_2039_cim : Climate file for the year 2039 obtained from RCA4-CIM</li> <li>Geneva_Eur11_TDY_2010_2039 : Climate file for the year 2069 obtained from RCA4</li> <li>Geneva_Eur11_TDY_2010_2069_cim : Climate file for the year 2069 obtained from RCA4-CIM</li> <li>Geneva_Eur11_TDY_2010_2099 : Climate file for the year 2099 obtained from RCA4</li> <li>Geneva_Eur11_TDY_2010_2099_cim : Climate file for the year 2099 obtained from RCA4-CIM</li> <li>heating_2039 : Heating demand from CitySim for the year 2039</li> <li>heating_2039_cim : Heating demand from CitySim-CIM for the year 2039</li> <li>heating_2069 : Heating demand from CitySim for the year 2069</li> <li>heating_2069_cim : Heating demand from CitySim-CIM for the year 2069</li> <li>heating_2099 : Heating demand from CitySim for the year 2099</li> <li>heating_2099_cim : Heating demand from CitySim-CIM for the year 2099</li> <li>heating_2099_minP : Heating demand from CitySim for the year 2099 with Minergie-P scenario</li> <li>heating_2099__minP_cim : Heating demand from CitySim-CIM for the year 2099 with Minergie-P scenario</li> <li>cooling_2039 : Cooling demand from CitySim for the year 2039</li> <li>cooling_2039_cim : Cooling demand from CitySim-CIM for the year 2039</li> <li>cooling_2069 : Cooling demand from CitySim for the year 2069</li> <li>cooling_2069_cim : Cooling demand from CitySim-CIM for the year 2069</li> <li>cooling_2099 : Cooling demand from CitySim for the year 2099</li> <li>cooling_2099_cim : Cooling demand from CitySim-CIM for the year 2099</li> <li>cooling_2099_minP : Cooling demand from CitySim for the year 2099 with Minergie-P scenario</li> <li>cooling_2099__minP_cim : Cooling demand from CitySim-CIM for the year 2099 with Minergie-P scenario</li> <li>temp_cim : simulated temperature from CIM using Meteonorm</li> <li>temp_meteonorm : temperature from Meteonorm</li> <li>u_cim : simulated wind speedfrom CIM using Meteonorm</li> <li>u_meteonorm : wind speed from Meteonorm</li> </ol> <p> </p>
Raw Data for RE18 Data Track (Utilizing Product Usage Data in Communication Services for Evaluating Requirement Offerings)
<p>Title: Raw Data for RE18 Data Track</p> <p>Submitted paper title : Utilizing Product Usage Data in Communication Services for Evaluating Requirement Offerings</p> <p>Submitted paper authors: Ashkan Hemmati, S. M. Didar Al Alam, Chris Carlson</p> <p> </p>
Data Showing Evaluation of Fluidized bed Combustion of Sawdust
<p>This is unpublished dataset <strong> Showing Evaluation of Fluidized bed Combustion of Sawdust. The dataset has not been published. The Publisher advised us to register here to get DOI for the dataset before it can be published. This dataset was extracted from the Master's thesis and no publication has been made through it. The pages where the extraction was made is also attached for your perusal and consideration. </strong></p> <p> </p> <p><strong>Kindly asign the manuscript with DOI so that we can make refernece to it under the TRANSPARENCY DOCUMNET AND SUPPORTING INFORMATION</strong>. </p> <p> </p> <p>Thanks in anticipation for your swift action. </p> <p> </p> <p>I can be reached via oiumapayi@uj.ac.za or ikumapayi.omolayo@gmail.com for further infromation.<br> <strong> </strong></p>
Experimental Evaluation LTV-MPC Stability for Autonomous Driving
<p>This video presents the experimental evaluation of LTV-MPC stability at Scania’s test track facilities located in Södertälje, Sweden, south of Stockholm.</p>
Experimental Evaluation of SA-MPC on the Precision Test Track
<p>This video presents the experimental evaluation of SA-MPC on the precision test track at Scania’s test track facilities located in Södertälje, Sweden, south of Stockholm.</p>
Experimental Evaluation of SA-MPC on the High-Speed Test Track
<p>This video presents the experimental evaluation of SA-MPC on the high-speed test track at Scania’s test track facilities located in Södertälje, Sweden, south of Stockholm.</p>
Evaluating changing patterns of herbivory as a result of habitat change
<b>Description: </b><p>Estimates of leaf herbivory from leaves collected in litter traps</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/109"><b>Evaluating changing patterns of herbivory as a result of habitat change</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=108">here</a></p><p><b>Files: </b>This consists of 1 file: template_Metcalfe.xlsx</p><p><b>template_Metcalfe.xlsx</b></p><p>This file contains dataset metadata and 1 data tables:</p><ol><li><p><b>Herbivory data</b> (described in worksheet Data)</p><p>Description: Estimates of leaf herbivory from leaves collected in litter traps</p><p>Number of fields: 8</p><p>Number of data rows: 4630</p><p>Fields: </p><ul><li><b>Date</b>: Date leaves were collected in the field (Field type: Date)</li><li><b>Site</b>: SAFE Project sample site (Field type: Location)</li><li><b>LeafNo</b>: Identifier for individual leaf within 'Site' (Field type: Replicate)</li><li><b>imageID</b>: Filename for the photograph of that leaf (Field type: ID)</li><li><b>WithDamage</b>: Area of leaf (excluding herbivory damage) (Field type: Numeric)</li><li><b>WithoutDamage</b>: Area of leaf assuming no herbivory (Field type: Numeric)</li><li><b>Herbivory</b>: Herbivory damage to leaf (Field type: Numeric)</li><li><b>Zherbivory</b>: Herbivory damage to leaf (Field type: Numeric)</li></ul></li></ol><p><b>Date range: </b>2011-04-07 to 2011-07-03</p><p><b>Latitudinal extent: </b>4.6642 to 4.7714</p><p><b>Longitudinal extent: </b>116.9477 to 117.7028</p>
Raw data for: "Suspicion: Recognising and evaluating the effectiveness of extortion in the Iterated Prisoner's Dilemma"
<p>A data set of raw interaction data for the study of extortionate strategies.</p> <p>Data is included for 3 types of tournaments:</p> <p>- Noisy (5% noise)</p> <p>- Standard</p> <p>- Probabilistic ending</p>
Associated raw data to the PhD thesis: Design and evaluation of a camera-based indoor positioning system for forklift trucks
<p>This is a test data set for marker-based augmented reality algorithms used to locate ground conveyors in an industrial environment. It was recorded in the testing area of the chair fml at TUM to develop and evaluate algorithms for locating forklift trucks in my PhD thesis "Entwicklung und Evaluierung einer kamerabasierten Lokalisierungsmethode für Flurförderzeuge" (see https://mediatum.ub.tum.de/?id=1395267 available in German only).</p>
Data and scripts for the paper: Evaluating and improving a PDF cloud scheme using high-resolution super-large-domain simulations
<p>This is a collection of the processed data, plotting scripts, and processing scrips used in the making of the publication: "Evaluating and improving a PDF cloud scheme using high-resolution super-large-domain simulations" By Griewank, Schemann, and Neggers. </p> <p>WARNING: These files were used exclusively used by Philipp Griewank on his local work station, and the main purpose of uploading them is for reasons of scientific transparency. They are not highly optimized tools intended for general usage, so comments are hit and miss. Feel free to contact Philipp Griewank (currently philipp.griewank@uni-koeln.de) with any questions. </p>
Thorax x-ray and CT interventional dataset for nonrigid 2D/3D image registration evaluation
<p>Thorax x-ray and CT interventional dataset for nonrigid 2D/3D image registration evaluation. Medical Physics, 2018 Nov;45(11):5343-5351. doi: 10.1002/mp.13174.</p>
Kernelized rank learning for personalized drug recommendation (training and evaluation datasets)
<p>Training and evaluation datasets for our "Kernelized rank learning for personalized drug recommendation" paper:</p> <p>He* X, Folkman* L & Borgwardt K (2018), <em>Bioinformatics</em> <strong>34</strong>(16), 2808–2816, <a href="https://doi.org/10.1093/bioinformatics/bty132">https://doi.org/10.1093/bioinformatics/bty132</a><br> *equal contributions</p> <p>For the source code, please visit the GitHub repository: <a href="https://github.com/BorgwardtLab/Kernelized-Rank-Learning">https://github.com/BorgwardtLab/Kernelized-Rank-Learning</a></p> <p> </p>
Data for the evaluation of the MAIA method for image annotation
<p>This dataset contains all annotations and annotation candidates that were used for the evaluation of the MAIA method for image annotation. Each row in the CSVs represents one annotation candidate or final annotation. Annotation candidates have the label "OOI candidate" (label_id 9974). All other entries represent final reviewed annotations. Each CSV contains the information for one of the three image datasets that were used in the evaluation.</p> <p>Visual exploration of the data is possible in the BIIGLE 2.0 image annotation system at <a href="https://biigle.de/projects/139">https://biigle.de/projects/139</a> using the login <code>maia@example.com</code> and the password <code>MAIApaper</code>.</p>
Evaluation Data for F.I.E.L.D.S.
<p>Evaluation Data for http://purl.org/net/vsr/semanticui</p>
Performance Evaluation: Dataset on the scholastic performance of students in 12 programmes from a private university in the south-west geopolitical zone in Nigeria
<p>Dataset of educational performances of college students in 12 programmes in a private university in Nigeria. The overall people sampled for the observation is 2490 undergraduates excavated from 12 programmes which are as follows Computer Science (CIS), Mathematics (MAT), Electrical and Electronics Engineering (EEE), Biochemistry (BCH), Mechanical Engineering (MCE), Microbiology (MCB), Civil Engineering (CVE), Computer Engineering (CEN), Chemical Engineering (CHE), Industrial Chemistry (CHM), Information and Communication (ICE), Petroleum Engineering (PET).</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.