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8,038 results for “validation”
CNN models and training, validation and test datasets for "PlotMI: interpretation of pairwise interactions and positional preferences learned by a deep learning model from sequence data"
<p>Convolutional neural network (CNN) models and their respective training, validation and test datasets used in manuscript:</p> <p>Tuomo Hartonen, Teemu Kivioja and Jussi Taipale, "PlotMI: interpretation of pairwise interactions and positional preferences learned by a deep learning model from sequence data"</p>
SAT Instances for Testing SFpC Validity and Reliability
<p>Random SAT samples generated with the following samplers:</p> <ul> <li>BDDSampler</li> <li>KUS</li> <li>QuickSampler </li> <li>Smarch </li> <li>Spur</li> <li>Unigen2</li> </ul> <p>These samples are used to check SFpC Soundness, i.e., to test whether SFpC produces results that are (i) valid and (ii) reliable. In other words, are SFpC results consistent (i) with the results obtained by other uniformity testing methods and (ii) when one sampler is tested repeatedly using different models?</p>
Fig. 1 in Octopus sinensis d'Orbigny, 1841 (Cephalopoda: Octopodidae): Valid Species Name for the Commercially Valuable East Asian Common Octopus
Fig. 1. Ventral view of a mature male specimen of Octopus sinensis (NSMT Mo 85658), illustrating the paler ventral surface (cf. dorsal surface of the same specimen visible in Figs 2 and 3) and the size and shape of the funnel (F, held in place with a piece of white cord). A sample (S) of muscle tissue was removed prior to fixation, leaving a circular wound just anterior to the funnel. Fig. 2. Dorsal view of the specimen in Fig. 1, showing the difference in lengths of arms 2 and 3 (longer, ending within the region labelled 'Arms 2 and 3' bracketed to the leπ) versus 1 and 4 (clearly shorter, ending within the adjacent bracketed region labelled 'Arms 1 and 4'). The longer arms include arm R3 (the hectocotylus, H), which (typically much shorter than its counterpart, L3) is only just a little longer than arm pairs 1 and 4 (cf. Table 1, and OAI in Table 2). Note also the relative size and shape of the head, body and arms, and the rugose texture caused by the fixed appearance of the patch-and-groove topology of the skin. Fig. 3. View from the right side (body to leπ; arms to right) of the specimen in Figs 1 and 2. The funnel (F) was fixed in an unusual position (here seen pointing ventrally, perpendicular to the main body axis) as a result of damage following removal (before fixation) of a tissue sample (S) for molecular analysis (cf. Fig. 1). The broad extent of the mantle opening can be seen ventrally. Dorsally there is a large, contracted posterodorsal papilla (Ppd) above the right eye, with a smaller one anterodorsally (Pad). The anterodorsal papilla typically is not obvious except in well-fixed specimens. Fig. 4. An example of the appearance of the oral surface of a male Octopus sinensis to show the position of specially enlarged suckers on arms 2 and 3 of each side (most obvious on arms 2, as indicated: suckers #12 and 13 on the leπ, and #13 and 14 on the right). Anterior of animal (Ant.) is to the leπ, so the leπ arms are in the upper half of the figure and the right arms in the lower half. (Neotype specimen NSMT Mo 85659). Fig. 5. End of arm R3 of the specimen in Figs 1–3, showing the robust spermatophore groove (SGr; cf. Fig. 2, H) and small ligula (L). Fig. 6. Diagram of the tip of arm R3 of Octopus sinensis (lot NSMT Mo 85660 specimen IGG 318, ML 168 mm), illustrating the form of the ligula in more detail. Note modest calamus (Cal.) nestled in the hilum at the base of the ligula, and protuberance (Pr.) on the anterior side closely apposed to the region at the end of the spermatophore groove (SGr), covering the base of both ligula and calamus. (Line drawing by Aki Hamamoto). Fig. 7. Diagram of the tip of arm R3 of Octopus vulgaris specimen BMNH 98.5.21.346 (ML 96 mm), showing that the form and size of the ligula are similar to those of the ligula of O. sinensis (as shown in Figs 5 and 6). (Line drawing by Aki Hamamoto)
Dataset for "Radiation environment at the surface and subsurface of the Moon: Model development and validation" publication in Journal of Geophysical Research: Planets
<p>data set used for plots in manuscript "Radiation environment at the surface and subsurface of the Moon: Model development and validation" submitted to GRL</p>
Retrieval and Validation of Total Seasonal Liquid Water Amounts in the Percolation Zone of Greenland Ice Sheet Using L-band Radiometry
<p>This repository contains the dataset associated with the analyses presented in the following study:</p> <p>Hossan, A., Colliander, A., Vandecrux, B., Schlegel, N.-J., Harper, J., Marshall, S., and Miller, J. Z.: <em>Retrieval and validation of total seasonal liquid water amounts in the percolation zone of the Greenland Ice Sheet using L-band radiometry</em>, <strong>The Cryosphere</strong>, 19, 4237–4258, <a href="https://doi.org/10.5194/tc-19-4237-2025" target="_new">https://doi.org/10.5194/tc-19-4237-2025</a>, 2025.</p> <p>In this study, we demonstrated the capability of NASA's Soil Moisture Active Passive (SMAP) L-band radiometer to estimate surface and subsurface liquid water amounts (LWA) in the percolation zone of the Greenland Ice Sheet. The article presents our initial retrieval algorithm, validation results, and highlights the potential for developing a Greenland-wide LWA data product.</p> <p><strong>Contents of this Repository</strong></p> <p>This repository includes:</p> <ul> <li><strong>SMAP-retrieved daily, vertically integrated LWA gridded initial data products</strong> (2015–2023), derived from enhanced-resolution SMAP TB observations. These data include spatial coordinates, acquisition dates, and a melt flag indicator.</li> <ul> <li>SMAP_LWA_time_series_AWS contains daily time series at a AWS location (point observation)</li> <li>Samimi_EBM_LWA_time_series_AWS contains corresponding time series of LWA estimated by Samimi model forced by PROMICE AWS.</li> <li>GEMB_LWA_time_series_AWS contains corresponding time series of LWA estimated by GEMB model forced by PROMICE AWS</li> <li>The locations and name ID of the AWS are given in AWS.txt/xls file</li> <li>L_band_LWA_yyyy.nc files contain daily LWA and TB data over the entire percolation zone</li> </ul> <li><strong>Corresponding vertically polarized brightness temperature (TBV) data</strong>, including their winter mean and standard deviation.</li> <li><strong>Model-based LWA estimates used for validation</strong>, including outputs from:</li> <ul> <li>The locally calibrated <strong>Energy and Mass Balance (EMB)</strong> model.</li> <li>The <strong>Glacier Energy and Mass Balance (GEMB)</strong> model within NASA’s <strong>Ice-sheet and Sea-level System Model (ISSM)</strong>.</li> </ul> </ul> <p><strong>Retrieval and Validation Codebase</strong></p> <p>The MATLAB scripts and tools used for the microwave retrieval algorithm, radiative transfer modeling, inversion process, and comparative validation with in situ AWS-driven model outputs are available at the following GitHub repository:</p> <p>🔗 <a href="https://github.com/HossanAlamgir/SMAP_MWA_Retrieval_and_Validation_GrIS" target="_new">https://github.com/HossanAlamgir/SMAP_MWA_Retrieval_and_Validation_GrIS</a><br><em>(Last accessed: 17 September 2025)</em></p> <p>The codebase includes:</p> <ul> <li>Preprocessing routines for SMAP TB data.</li> <li>Implementation of the radiative transfer forward model.</li> <li>Inversion and threshold-based detection algorithms.</li> <li>Validation scripts for comparison against AWS-forced EMB and GEMB model outputs.</li> </ul> <p><strong>Relevance</strong></p> <p>These data and methods support ongoing efforts to improve surface mass balance (SMB) estimates and enhance projections of Greenland’s contribution to global sea level rise.</p> <p> </p>
Survey Comics and Education. ICOn MICs CA19119 Validation 2021
<p>Survey "Comics and education" of the WG5 of the COST ICOnMICs action. Presentation at Teaching with comics Congress, Valencia. Presentation of the validated survey. Results (anonymous) of the validation by the members of the working group 5.</p> <p>More information on: <a href="https://iconmics.hypotheses.org/2140">https://iconmics.hypotheses.org/2140</a></p>
Spreadsheet validation for Flat slabs in eccentric punching shear experimental database and analysis
<p>Eccentric punching shear can occur in concrete slab-column connections when the connection is subjected to shear and unbalanced moments. Unbalanced moments occur in all floor slabs at the edge and corner columns. As such, this problem is of practical relevance. However, most punching experiments in the literature deal with concentric punching shear at internal columns. This paper presents a developed database of 128 experiments of flat slabs under eccentric punching shear, including a summary of the testing procedure of each reference and a description of the slab specimens. Additionally, a linear finite element analysis of all the specimens is included to determine the relevant sectional shear forces and moments. Finally, the ultimate shear stresses from the database experiments are compared to the shear capacities determined with ACI 318-19, Eurocode 2, and the Model Code 2010. The comparison shows that the Model Code 2010 is the most precise in the predictions with an average tested-to-predicted ratio of 0.82 and a coefficient of variation of 29.63%. It can be concluded that improvements to the current design methods for eccentric punching shear are necessary.</p>
BIO4AFRICA_Co-definition of technologies to be transferred with local farmers and communities - Technology Validation Data (Findings)_D1.4_021122_1
<p>Validation Data (Findings) for Task 1.4: Co-definition of technologies to be transferred with local farmers and communities.</p>
BIO4AFRICA_Co-definition of technologies to be transferred with local farmers and communities - Technology Validation Data (Demographics)_D1.4_311022_1
<p>Validation Data (Demographics) for Task 1.4: Co-definition of technologies to be transferred with local farmers and communities.</p>
Data for Project 'Development and Initial Validation of the German Version of the Exergame Enjoyment Questionnaire (EEQ-G)'
<p>Data for Project 'Development and Initial Validation of the German Version of the Exergame Enjoyment Questionnaire (EEQ-G)', consisting of (1) the original and complete dataset (Data_EEQ-G_Validation_Study_for-publication.xlsx) and (2) a corresponding README file including (a) general information, (b) data and file overview, (c) sharing and access information, (d) methodological information, and (e) data-specific information.</p>
Dataset supporting publication: "Geofit: Experimental Investigations and Numerical Validation of Shallow Spiral Collectors as a Basis for Development of a Design Tool for Geothermal Retrofitting of Existing Buildings"
<p>Dataset supporting publication: “Geofit: Experimental Investigations and Numerical Validation of Shallow Spiral Collectors as a Basis for Development of a Design Tool for Geothermal Retrofitting of Existing Buildings” (publication available in <a href="https://zenodo.org/record/7273966#.Y2JgBnbMJPY">GEOFIT Zenodo</a>)</p> <p>The H2020 GEOFIT (grant no. 792210) project will implement and demonstrate easy-to-install and economical geothermal systems in combination with heat pumps for energy-efficient building retrofits at five pilot sites across Europe - a historic building (ITA), a school (ESP), an indoor swimming pool (IRL), an office building (FRA) and a single-family house (IRL) (GEOFIT,2018). Heat pump tests and experimental laboratory tests with shallow geothermal heat collector types are carried out in climate chambers at the AIT. Material data of different soil types are determined in the thermophysics laboratory. Furthermore, CFD simulations of the conducted experiments are calculated with ANSYS Fluent. All this provides data and know-how for the development of a design tool for ground collector configurations such as helices and slinky loops, which are particularly relevant for building retrofits in GEOFIT. Experimental work focused on near-surface spiral geothermal heat exchanger configurations that can be installed at a maximum depth of five metres. Real-scale experiments were carried out for vertically oriented spiral collectors (helix) in real soil. One objective was to develop a measurement concept in the laboratory environment to create the framework for a reliable database. This database is used as a basis for the further development or new development of engineering design tools. Distributed resistance temperature sensors and a fibre-optic temperature measurement system (DTS) were used. The moisture content of the soil was recorded using soil moisture sensors. A heat flow was conditioned by means of a helix shaped electric heating cable in a 1m³ cuboid soil container. The measurements were carried out in a climate chamber at a defined constant temperature of 10 °C. The evaluation of the transient response behaviour is spatially resolved. This results in coordinate-related temperature points, which describe temperature gradients in all axes of the container over time. Three different types of soil were investigated. The temperature behaviour of humus soil, sand and a mixture of these was investigated experimentally in smaller experiments and the material data such as heat capacity, thermal conductivity and density were determined thermophysically in the laboratory. Based on this data, a CFD model was developed which can be used to modify the geometry parameters of the helix.</p>
Dataset for the publication "Theory and Experimental Validation of Two Techniques for Compensating VT Nonlinearities"
<p>This is dataset for paper published:</p> <p>G. D’Avanzo <em>et al</em>., "Theory and Experimental Validation of Two Techniques for Compensating VT Nonlinearities," in <em>IEEE Transactions on Instrumentation and Measurement</em>, vol. 71, pp. 1-12, 2022, Art no. 9001312, doi: 10.1109/TIM.2022.3147883.</p>
Dataset used for the study of "Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at La Réunion Island and the Observatoire de Haute Provence"
<p>Datasets used to create the figures and statistical study in "Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at La Réunion Island and the Observatoire de Haute Provence" </p>
Immerse Downstream User Toolbox - example data for FerryBox validation
<p>Example data for FerryBox Validation use case within </p> <p><a href="https://github.com/immerse-project/Downstream-Users-Toolbox">immerse-project/Downstream-Users-Toolbox: Analysis and assessment tools from IMMERSE WP8 (github.com)</a></p> <p>containing exemplary temperature and salinity data from a ship attached FerryBox (<a href="https://www.ferrybox.org/">https://www.ferrybox.org/</a>) and according surface fields of the the CMEMS Atlantic - European North West Shelf - Ocean Physics Analysis and Forecast model <a href="https://resources.marine.copernicus.eu/product-detail/NORTHWESTSHELF_ANALYSIS_FORECAST_PHY_004_013/INFORMATION">NORTHWESTSHELF_ANALYSIS_FORECAST_PHY_004_013</a>, the high resolution NNEMO.v4.2_RC Southern North Sea configuration developed at <a href="https://www.hereon.de/">Helmholtz-Zentrum Hereon</a> in the context of IMMERSE, and the German Bight configuration operated at Hereon, using the <a href="http://ccrm.vims.edu/schismweb/">SCHISM unstructured grid moddeling framework</a> for an assesment of the model performance on those variables within the south eastern German Bight on 2018-11-05.</p>
Supplementary data for A Systematic Literature Review on the Code Smells Datasets and Validation Mechanisms
<p>The attached Microsoft Excel files contain the data and diagrams of the paper:</p> <p><strong>A systematic literature review on the code smells datasets and validation mechanisms</strong></p> <p>The article is under review in the ACM Computing Surveys.</p> <p> </p>
Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
<p>Dataset includes 2.5 hours real-world data, for one participant from each of the technical validation study cohorts: ongestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), healthy adult (HA), multiple sclerosis (MS), Parkinson’s (PD) and proximal femoral facture (PFF) linked to the manuscript entitled ‘Assessing real-world gait with digital technology? Validation, insights, and recommendations from the Mobilise-D consortium’. The attached documentation has 6 datasets and a README document.</p> <p>The MOBILISE-D project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 820820. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation program and the European Federation of Pharmaceutical Industries and Associations (EFPIA).</p> <p>Content on this publication reflects the author’s view and neither IMI nor the European Union, EFPIA, or any Associated Partners are responsible for any use that may be made of the information contained herein.</p>
Validation of STS Conceptual Model Designing Approach. DMI374 and DMI747 Data Sets.
<p>Surveys of DMI374 and DMI747 student groups were conducted for the purpose of validating the STS conceptual model designing method. A 5-point and dichotomous Likert questionnaire was used for the survey. The files contain response datasets used in statistical processing.</p>
Observational data to validate an observational tool using inter-rater reliability
<p>The dataset includes a set of observations made from videos in The Observer XT software by 17 observers (16 novice observers and 1 expert observer) to validate an observation grid. The data made available are the observations, without the videos, and do not include any personal information.</p>
Postdiction Competition - Sera.ta - Seismic Response of Masonry Cross Vaults: Shaking table tests and numerical validations
<p>Once the blind prediction has been completed (DOI 10.5281/zenodo.7624666), new data are given to the research groups to perform the post diction simulations. The main objectives are:</p> <ul> <li>to calibrate the numerical model based on the dynamic properties;</li> <li>to emprove the capability of different modelling/analysis approaches and better justify the numerical assumptions.</li> </ul> <p>Below you can find the data set for the post diction analysis namely:</p> <ul> <li>Unstrengthened specimen results: </li> <li>Strengthened specimen results: </li> <li>Results of mix mortars used for the TRM technique:</li> </ul> <p> </p>
Validation of highly sensitive method based on UHPLC-ESI-MS/MS for the quantification of progestogens and androgens in plant material.
<p>We prepared a highly sensitive method for the quantification of progestogens and androgens in plant materials. This method is based on UHPLC-ESI-MS/MS. We show here the data used for the method validation. This includes the determination of linearity, recovery, precision, limits of detection and limits of quantification. </p> <p>The general procedure can be found in the txt or pdf file. </p> <p>The resulting data are collected in the excel file and can be found in the csv files, additonally.</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.