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Dataset results
34 results for “cross-validation”
Spatial Plus Cross-Validation experiments datasets and codes (new)
<p>This rar/zip file includes all materials of Spatial Plus Cross-Validation experiments. </p> <p>They are ordered by the first number of folder's name.</p> <p>In each folder, the order of running code scripts are labeled by the first number of code's name.</p>
Data from: Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
Open the record for dataset details and reuse information.
Data from: Cross-validation in association mapping and its relevance for the estimation of QTL parameters of complex traits
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A quantitative genetics approach to cross-validate lab- versus field-based behavior in novel environments
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Daymet: Station-Level Inputs and Cross-Validation for North America, Version 4 R1
This dataset reports the station-level daily weather observation data and the corresponding cross-validation results for three Daymet model parameters: minimum temperature (tmin), maximum temperature (tmax), and daily total precipitation (prcp) across continental North America (including Canada, the United States, and Mexico), Hawaii, and Puerto Rico. Each data file contains the daily observations and cross-validation results for one parameter for each modeled region and each year, that is, from 1980 to the current calendar year for stations across continental North America and Hawaii and from 1950 to the current year for Puerto Rico. Also included are corresponding station metadata files listing every surface weather station used in Daymet processing for each parameter, region, and year and containing the station name, station identification, latitude, and longitude. The data are provided in netCDF and text formats. In Version 4 R1, all 2020 and 2021 files were updated to improve predictions especially in high-latitude areas. It was found that input files used for deriving 2020 and 2021 data had, for a significant portion of Canadian weather stations, missing daily variable readings for the month of January. NCEI has corrected issues with the Environment Canada ingest feed which led to the missing readings. The revised 2020 and 2021 Daymet V4 R1 files were derived with new GHCNd inputs. Files outside of 2020 and 2021 have not changed from the previous V4 release.
Cross-validation of distance measurements in proteins by PELDOR/DEER and single-molecule FRET
<p>Pulsed electron-electron double resonance spectroscopy (PELDOR/DEER) and single-molecule Förster resonance energy transfer spectroscopy (smFRET) are frequently used to determine conformational changes, structural heterogeneity and inter probe distances in biological macromolecules. They provide qualitative information that facilitates mechanistic understanding of biochemical processes and quantitative data for structural modeling. To provide a comprehensive comparison of the accuracy of PELDOR/DEER and smFRET, we use a library of double cysteine variants of four proteins that undergo large-scale conformational changes upon ligand binding. With either method, we use established standard experimental protocols and data analysis routines to determine inter-probe distances in the presence and absence of ligands. The results are compared to distance predictions from structural models. Despite an overall satisfying and similar distance accuracy, some inconsistencies are identified, which we attribute to the use of cryoprotectants for PELDOR/DEER and label-protein interactions for smFRET. This large-scale cross-validation of PELDOR/DEER and smFRET highlights the strengths, weaknesses, and synergies of these two important and complementary tools in integrative structural biology.</p>
Manual cross-validation data for the article: "Comparison of bibliographic data sources: Implications for the robustness of university rankings"
<p>These are sets of data collected from the manual cross-validation of DOIs (and related research outputs) that are sampled from Web of Science (WoS), Scopus and Microsoft Academic (MSA). For each of the 15 universities, we initially collect all DOIs indexed by each of the three bibliographic sources. Subsequently, we randomly sample 40, 30 and 30 DOIs from sets of DOIs that are exclusively indexed by WoS, Scopus and MSA, respectively, for each university. A manual cross-validation process is then followed to validate certain characteristics across the data sources. This cross-validation process was carried out by a data wrangler, on a part-time basis over a few months, for which online data was accessed from 18 December 2018 to 20 May 2019.</p>
Results of cross-validation by Mlflow for "Can the audience understand a business process model? Using Random Forest to classify level understandability based on personal and model factors"
<p>This dataset of results contains a summary of the evaluation metrics for each fold, including information about hyperparameter tuning.</p>
Non-Invasive Blood Test Cross-Validation Study
ClinicalTrials.gov study NCT03991637. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Reliability of the Neurophysiology of Pain Questionnaire in the Neck Pain the Cross-validation Study
ClinicalTrials.gov study NCT05606666. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Cross-validating the iTBS-induced Hemodynamic Response From fNIRS and fMRI: a Concurrent iTBS-fMRI-fNIRS Study
ClinicalTrials.gov study NCT06902571. IPD Sharing: NO. Countries: 1. Publications: 0.
Prostate Cancer REsearch Using Cross-validation of Innovative Sampling, Integrating LC-MS/MS for Optimized Therapeutic Drug moNitoring
ClinicalTrials.gov study NCT07344363. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Cross-validation of a Predictive Model of Response to Anti-TNF Alpha Based on Oxylipin Response in Rheumatoid Arthritis
ClinicalTrials.gov study NCT06880146. IPD Sharing: NO. Countries: 1. Publications: 0.
An Investigational Study Examining the Cross-Validation of QbMobile in ADHD and Normative Populations
ClinicalTrials.gov study NCT07220330. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
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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.