Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,646
datasets available to search
ShareScore release 0.9.0
Dataset results
1,646 results for “plot”
Model code, data, and plot scripts for the paper "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".
<p>The model codes, data, and plot scripts used in the paper, "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".</p> <ul> <li>Figs&Table are the NCL scripts used for figures and table in the paper.</li> <li>Model_Results contains output data of each experiment in this study.</li> <li>Mods_Scripts contains modified model code.</li> <li>Offline_Code contains off-line test code.</li> </ul>
FIGURE 2. Scatter plots for Dataset 2 in GroupStruct: An R Package for Allometric Size Correction
FIGURE 2. Scatter plots for Dataset 2 (Amolops) showing the regression slopes of each trait variate plotted against SVL. Data were log-transformed but not size-adjusted. The blue line represents the best-fit regression line. Within-species slopes are presented in Table 1. Points represent individual measurements.
FIGURE 1. Scatter plots for Dataset 1 in GroupStruct: An R Package for Allometric Size Correction
FIGURE 1. Scatter plots for Dataset 1 (Cyrtodactylus) showing the regression slopes of each trait variate plotted against SVL. Data were log-transformed but not size-adjusted. The blue line represents the best-fit regression line. Within-species slopes are presented in Table 1. Points represent individual measurements.
Dataset for plots and tables of a paper on asymptotically exact a posteriori error estimates for mixed Laplace eigenvalue problems
<p>This compressed dataset includes all generated data for the paper</p> <p>"A note on asymptotically exact a posteriori error estimates for mixed Laplace eigenvalue problems"</p>
Planar Graph Classifier - Training History Plot
<p>Visualization of the loss and accuracy per epoch during training of the Planar Graph Classifier</p>
NEON forest and woodland plots: diversity, structure and climate
<p>We combined climate variables with field measurements and airborne lidar from all forest and woodland plots in the National Ecological Observatory Network (NEON) to characterize the role of climate in constraining biodiversity – forest structure relationships across the United States. </p>
FIGURE 4. Saturation plots for 2 rRNA gens, 13 in Seven new mitochondrial genomes of phytophagous scarab beetles (Coleoptera Scarabaeidae) and phylogenetic implications
FIGURE 4. Saturation plots for 2 rRNA gens, 13 protein-coding genes, and a concatenated dataset (from 13 protein-coding genes), left to right. The plot shows uncorrected pairwise divergences in transitions (s) and transversions (v) against divergences calculated with the GTR model. Green, transversions; blue, transitions.
Plots for the publication "Lidar-assisted model predictive control of wind turbine fatigue via online rainflow-counting considering stress history"
<p>These are the raw plot files from the publication "Lidar-assisted model predictive control of wind turbine fatigue via online rainflow-counting considering stress history".</p> <p>The files have been created with MATLAB 2019, and labeled according to their corresponding figure number(s) in the publication.</p>
Selected HRRRv4 model output and plotting scripts for 'Evaluation of a cloudy cold-air pool in the Columbia River Basin in different versions of the HRRR model'
<p>This zip file contains selected model output data from HRRRv4 and plotting scripts used for the paper 'Evaluation of a cloudy cold-air pool in the Columbia River Basin in different versions of the HRRR model' which is submitted for publication to the journal Geoscientific Model Development (GMD).</p> <p>The individual files are:</p> <p>d01_d02_lwd_allsurfacestations_v4fp1_v4fp2.nc: longwave downward radiation flux at the locations of surface stations in the investigation area for domains d01 and d02 and runs v4fp1 and v4fp2<br> d01_d02_lwp_Wasco_v4fp1_v4fp2.nc: liquid water path at Wasco for domains d01 and d02 and runs v4fp1 and v4fp2<br> d01_d02_lwp_allsurfacestations_v4fp1_v4fp2.nc: liquid water path at the locations of surface stations in the investigation area for domains d01 and d02 and runs v4fp1 and v4fp2<br> d01_d02_lwp_gridpointsbelow500mMSL_v4fp1_v4fp2.nc: liquid water path at all grid points in the Columbia River Basin with a terrain height of less than 500 m for domains d01 and d02 and runs v4fp1 and v4fp2<br> d01_d02_lwp_numbergridpointsbelow500mMSL_v4fp1_v4fp2.nc: Number of gridpoints in the Columbia River Basin with a terrain height of less than 500 m MSL and a LWP larger than 10 g/m2 for domains d01 and d02 and runs v4fp1 and v4fp2<br> d01_d02_swd_allsurfacestations_v4fp1_v4fp2.nc: shortwave downward radiation flux at the locations of surface stations in the investigation area for domains d01 and d02 and runs v4fp1 and v4fp2<br> d01_d02_t2m_allsurfacestations_v4fp1_v4fp2.nc: 2-m temperature at the locations of surface stations in the investigation area for domains d01 and d02 and runs v4fp1 and v4fp2<br> d01_d02_windspeed_7sites_v4fp1_v4fp2.nc: Wind speed profiles at 7 sites in the investigation area for domains d01 and d02 and runs v4fp1 and v4fp2<br> d01_temperatureprofiles_Wasco_v4fp1.nc: temperature profiles at Wasco for domain d01 and run v4fp1<br> d01_temperatureprofiles_Wasco_v4fp2.nc: temperature profiles at Wasco for domain d01 and run v4fp2<br> d02_swd_spatial_v4fp1.nc: spatial distribution of surface shortwave downward radiation for domain d02 and run v4fp1<br> d02_temperatureprofiles_Wasco_v4fp1.nc: temperature profiles at Wasco for domain d02 and run v4fp1<br> d02_temperatureprofiles_Wasco_v4fp2.nc: temperature profiles at Wasco for domain d02 and run v4fp2<br> d02_terrain.nc: terrain height for domain d02<br> plot_miscs_hrrr_longforecasts.py: master script for plotting<br> plot_routines_wfip2_lf.py: plot routines for various type of plots<br> read_routines_wfip2_lf.py: read routines for all kinds of data<br> sites_locations_wfip2.txt: latitude, longitude and height of used stations<br> basic_functions.py: helper functions for plotting</p>
Dataset with square plots across Sierra Nevada (Spain) where the contours of all juniper shrubs were annotated as polygons using centimetric GPS and very high resolution aerial and satellite RGB images
<p><strong>This dataset is a shapefile of 767 polygons describing the contours of Juniperus communis L. and Juniperus sabina L. shrubs for the year 2021 in rectangular plots across Sierra Nevada. The coordinates of the polygons were obtained from a field work campaign with a differential centimetric GPS, and their contours were drawn manually in QGIS using the Google Earth satellite image for 2020 and the PNOA aerial image for the 2020. </strong></p> <p><strong>This dataset also contains an excel file describing the features of each polygon: the polygon centroid coordinates, the type of species, the sexgender, the morphotype, the damage in the vegetation cover estimated in the field and telematically, certainty of the digitalization with QGIS and also if the differential centimetric GPS used belongs to the University of Granada or the University of Almeria. </strong></p>
Abundance of Anolis bicaorum, and niche measurements of plots on the island Utila, Honduras
<p>The question of what controls animal abundance has always been fundamental to ecology, but given rapid environmental change, understanding the drivers and mechanisms governing abundance is more important than ever. Here, we determine how multidimensional environments and niches interact to determine population abundance along a tropical habitat gradient. Focusing on the endemic lizard <i>Anolis bicaorum</i> on the island of Utila (Honduras), we evaluate direct and indirect effects of three interacting niche axes on abundance: thermal habitat quality, structural habitat quality, and prey availability. We measured <i>A. bicaorum</i> abundance across a series of thirteen plots and used N-mixture models and path analysis to disentangle direct and indirect effects of these factors. Results showed that thermal habitat quality and prey biomass both had positive direct effects on anole abundance. However, thermal habitat quality also influenced prey biomass, leading to a strong indirect effect on abundance. Thermal habitat quality was primarily a function of canopy density, measured as leaf area index (LAI). Despite having little direct effect on abundance, LAI had a strong overall effect mediated by thermal quality and prey biomass. Our results demonstrate the role of multidimensional environments and niche interactions in determining animal abundance and highlight the need to consider interactions between thermal niches and trophic interactions to understand variation in abundance, rather than focusing solely on changes in the physical environment.</p>
Data to plot figures in Flux Adjustment on Seasonal-Scale Sea Surface Temperature Drift written by the Authors
<p>These are data for plotting the figures shown in Flux Adjustment on Seasonal-Scale Sea Surface Temperature Drift written by Ryusuke Masunaga et al.</p> <p>The directory names correspond to the figure numbers in the paper. Please contact the Authors if you have any questions.</p> <p>In the grd files, data are stored as single precision float.</p>
Fig. 2. Pairwise PCA plots for P. tricornutum endometabolome samples extracted 24 in Metabolic adaptation of diatoms to hypersalinity
Fig. 2. Pairwise PCA plots for P. tricornutum endometabolome samples extracted 24 (A, B) and 96 (C, D) hours after the salinity stress treatment. PCA plots of all data analyzed together (E, F). Panels A, C, and E show results from GC-MS. Panels B, D, and F result from the analysis of LC-MS data; the number of replicates analyzed is 5. (For interpretation of the colours in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1. Pairwise PCA plots for T. pseudonana endometabolome samples extracted 24 in Metabolic adaptation of diatoms to hypersalinity
Fig. 1. Pairwise PCA plots for T. pseudonana endometabolome samples extracted 24 (A, B) and 96 (C, D) hours after salinity increase. PCA plots of all data analyzed together (E, F). Panels A, C, and E show results from GC-MS. Panels B, D, and F result from the analysis of LC-MS data; the number of replicates analyzed is 4–5 (see Experimental 5.13.). (For interpretation of the colours in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3. Pairwise PCA plots for S. marinoi endometabolome samples extracted 24 in Metabolic adaptation of diatoms to hypersalinity
Fig. 3. Pairwise PCA plots for S. marinoi endometabolome samples extracted 24 (A, B) and 96 (C, D) hours after the salinity stress treatment. PCA plots of all data analyzed together (E, F). Panels A, C, and E show results from GC-MS. Panels B, D, and F result from the analysis of LC-MS data; the number of replicates analyzed is 4–5 (see Experimental 5.13.). (For interpretation of the colours in this figure legend, the reader is referred to the Web version of this article.)
FIGURE 2. Morphometric variation beween Zamia muricata and Z. orinoquiensis. The plots A–G in Zamia orinoquiensis (Zamiaceae, Cycadales), a new species from the western Orinoquía region of Colombia
FIGURE 2. Morphometric variation beween Zamia muricata and Z. orinoquiensis. The plots A–G correspond to the traits listed in Table 3 that had significantly different means (p ≤.001). Whiskers indicate standard errors and circles and asterisks represent outliers.
Community composition and species traits and plot positions
<p><span><span><span><span>Biodiversity decline and its cascading effects through trophic interactions pose a severe threat to ecosystem service worldwide. Within a synthetic conceptual framework for beta-diversity, we proposed a series of hypotheses related to multi-trophic community assembly in subtropical forests. Our results suggested that, resulting from niche-based bottom-up dynamics, producer dissimilarities are predominant in structuring consumer dissimilarity, the degree of which highly depends on the trophic dependency, the diversity facet and the data quality. More importantly, we detected a significant dynamic between niche-based processes (e.g. environmental filtering and competitive exclusion) with the increasing producer dissimilarity. These findings enrich our mechanistic understanding of the 'Diversity Begets Diversity' rule and the complexity of multi-trophic community assembly, which is fundamental and critical for sustainable biodiversity conservation and ecosystem management.</span></span></span></span></p>
Scatter plots for the paper "Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data"
<p>This file contains the test-score-vs-metric plots generated by the paper "Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data".</p>
Fig. 3. Phylorate plot from a in Phylogenomics and Fossil Data Inform the Systematics and Geographic Range Evolution of a Diverse Neotropical Ant Lineage
Fig. 3. Phylorate plot from a diversification rate-shift analysis in BAMM. A single rate regime is inferred without any rate shifts detected. Diversification rate gradient legend is in units of species/million years.
Model code, data, and plot scripts for the paper "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".
<p>The code, scripts, and data used in the paper "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".</p> <ul> <li>All Figures&Table and their corresponding NCL scripts are under the directory of Figs&Table. </li> <li>The modified model code, corresponding original model code, and model run scripts are under the directory of Mods_Scripts.</li> <li>The postprocessing NCL scripts, which select useful variables from simulation results, are under the directory of PostProcessing.</li> <li>The zonal mean data from model results used for making figures and corresponding data processing scripts are under the directory of Model_Results.</li> <li>The FORTRAN code used for offline tests is under the directory of Offline_Code.</li> <li>The code, data, and NCL scripts used for the figures and table in the Appendix are under the directory of Appendix.</li> </ul>
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.