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8,038 results for “validation.”

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zenodo24/100

Figure 3 from: Rowley JJL, Callaghan CT (2020) The FrogID dataset: expert-validated occurrence records of Australia's frogs collected by citizen scientists. ZooKeys 912: 139-151. https://doi.org/10.3897/zookeys.912.38253

Figure 3 Occurrence records of calling frogs across Australia during year 1 of the FrogID project.

opencc-by-4.0Feb 2020View details →
zenodo24/100

Three-dimensional hydraulic tomography analysis of long-term municipal wellfield operations: Validation with synthetic flow and solute transport data

<p>Attached are the datasets utilized to accomplish the study of &quot;<em>Three-dimensional hydraulic tomography analysis of long-term municipal wellfiled operations: Validation with synthetic flow and solute transport data&quot;. </em>Basically, it includes the information of the discrete model and assigned, wells as well as the generated synthetic hydraulic head and solute concentration data.</p>

opencc-by-4.0Mar 2020View details →
zenodo24/100

Validation data: Multi-objective support vector regression reduces systematic error in moderate resolution maps of tree species abundance

<p>Validation data used in the analysis presented by Legaard et al. (in review). Validation data are sufficient to replicate model comparisons presented in this paper. Note that model training data were provided by the USDA Forest Service, Forest Inventory and Analysis Program through a collaborative agreement,&nbsp;are maintained by the USDA Forest Service as confidential, and cannot be shared.</p> <p>Legaard, K.,&nbsp;Simons-Legaard, E., Weiskittel, A.,&nbsp;Multi-objective support vector regression reduces systematic error in moderate resolution maps of tree species abundance, Remote Sensing, in review.</p>

opencc-by-4.0Apr 2020View details →
zenodo24/100

Development and validation of an environmental fragility index (EFI) for the neotropical savannah biome. Supplementary Material 1.

<p>Supplementary Material 1. Correlation among 20 potential variables (n=111 sites)<br> &nbsp;</p>

opencc-by-4.0Dec 2017View details →
zenodo24/100

Figure 1 in The Platycerus (Coleoptera, Lucanidae) of California, with the recognition of Platycerus cribripennis Van Dyke as a valid species

Figure 1. Known distribution of Platycerus cribripennis in California.

opencc-by-4.0Apr 2009View details →
zenodo24/100

Input data for manuscript "An open-source low-cost sensor for SNR-based GNSS reflectometry: Design and long-term validation towards sea level altimetry"

<p>Input data for Fagundes et al. (2021), &quot;An open-source low-cost sensor for SNR-based GNSS reflectometry: Design and long-term validation towards sea level altimetry&quot;, GPS Solutions (in press).&nbsp;<a href="https://www.researchgate.net/publication/341946011">preprint</a></p>

opencc-by-4.0Mar 2020View details →
zenodo24/100

TITAM (Time Independent Tracking Algorithm for Medicanes) software validation dataset

<p>This dataset contains&nbsp;the output of&nbsp;four medicane&nbsp;simulations performed with Weather Research and Forecasting (WRF) Model in the <em>MAR</em> group (www.um.es/gmar),&nbsp;as well as an extract of&nbsp;ERA5 reanalysis data, used to validate TITAM (Pravia-Sarabia, Enrique, Mont&aacute;vez, Juan Pedro, G&oacute;mez-Navarro, Juan Jos&eacute;, &amp; Jim&eacute;nez-Guerrero, Pedro. (2020, June 3). TITAM (Time Independent Tracking Algorithm for Medicanes) software (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.3874416).</p>

opencc-by-4.0Jun 2020View details →
zenodo24/100

Nd Validation Cases from Vessels

<p>A table of all the cloud scenes for Nd validation from four campaigns in the Southern Ocean and the subtropics</p>

opencc-by-4.0Jul 2020View details →
zenodo24/100

Figure 1 from: Horyn M, Logoyda L (2020) Bioanalytical method development and validation for the determination of metoprolol and meldonium in human plasma. Pharmacia 67(2): 39-48. https://doi.org/10.3897/pharmacia.67.e50397

Figure 1 Chemical structure of metoprolol.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 8 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220

Figure 8 In vitro dissolution profiles of amlodipine at pH 6.8 mean ± SD, n = 3.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 4 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220

Figure 4 Linearity on profiles of dissolution test at pH 4.5.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 7 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220

Figure 7 In vitro dissolution profiles of amlodipine at pH 4.5 mean ± SD, n = 3.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 6 from: Horyn M, Logoyda L (2020) Bioanalytical method development and validation for the determination of metoprolol and meldonium in human plasma. Pharmacia 67(2): 39-48. https://doi.org/10.3897/pharmacia.67.e50397

Figure 6 The calibration curve of meldonium in human plasma.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 5 from: Horyn M, Logoyda L (2020) Bioanalytical method development and validation for the determination of metoprolol and meldonium in human plasma. Pharmacia 67(2): 39-48. https://doi.org/10.3897/pharmacia.67.e50397

Figure 5 The calibration curve of metoprolol in human plasma.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 5 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220

Figure 5 Linearity on profiles of dissolution test at pH 6.8.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 3 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220

Figure 3 Linearity on profiles of dissolution test at pH 1.2.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 1 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220

Figure 1 The chemical structure of amlodipine.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 6 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220

Figure 6 In vitro dissolution profiles of amlodipine at pH 1.2 mean ± SD, n = 3.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 9 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220

Figure 9 In vitro dissolution profiles of amlodipine at pH 6.8 mean ± SD, n = 3.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 2 from: Horyn M, Logoyda L (2020) Bioanalytical method development and validation for the determination of metoprolol and meldonium in human plasma. Pharmacia 67(2): 39-48. https://doi.org/10.3897/pharmacia.67.e50397

Figure 2 Chemical structureof meldonium.

opencc-by-4.0Aug 2020View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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