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”
SGS-LTER CO2 Elevation Study: Stipa comata basal size and plant density per Open Top Chamber plot on the Central Plains Experimental Range, Nunn, Colorado, USA 1997 - 2001
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82454. At the end of the Open Top Chamber experiment the number and basal size of Stipa comata plants in ambient and elevated (720ppm) chambered and unchambered plots was measured. There was a greater number of small plants and seedlings in the elevated CO2 plots. This research was conducted at the Central Plains Experimental Range, near Nunn, CO; lat.40degrees 40 minutes N; long. 104 degrees 45 minutes W in the shortgrass steppe region of NE Colorado, USA and as a collaboration between SGS-LTER and USDA-ARS researchers.
End of Year Biomass at Surface Elevation Table plots in Upper Phillips Creek marsh 1999-2017
Background: Brinson et al. (1995) developed a model representing the change that occurs in ecosystem state (or habitat type) along the shorezone, from the forest -> high marsh -> low marsh -> mud flat, in response to the increased inundation caused by rising sea-level. They suggested that a seaward shift in ecosystem state is largely dependent on local slope and sediment supply. The states are associated with the dominant vegetation found within each. The most seaward (lowest in elevation) state is the mud flat. It is frequently inundated by tide and typically supports algal species. The next landward state is the mineral low marsh; it is dominated by Spartina alterniflora and is typically flooded at high tide. Sediments here may be largely mineral in origin. The next landward state is the high marsh; it may be dominated by S. patens, Distichlis spicata, and Juncus roemerianus. It is occasionally inundated by high tides and the soil is usually organic. The transition zone between the high marsh and the forest is typically dominated by Iva frutescens, Baccharis hamifolia, and Juniperus virginiana. It is only inundated during severe storm surges. The forest may be dominated by either pines or hardwoods and is again flooded with sea water only by storm surges. Brinson, M.M., R.R. Christian, and L.K. Blum. 1995. Multiple states in the sea-level induced transition from terrestrial forest to estuary. Estuaries 18:648-659.
End of Year Biomass in marsh transition plots in Upper Phillips Creek marsh 1999-2014
Background: Brinson et al. (1995) developed a model representing the change that occurs in ecosystem state (or habitat type) along the shorezone, from the forest -> high marsh -> low marsh -> mud flat, in response to the increased inundation caused by rising sea-level. They suggested that a seaward shift in ecosystem state is largely dependent on local slope and sediment supply. The states are associated with the dominant vegetation found within each. The most seaward (lowest in elevation) state is the mud flat. It is frequently inundated by tide and typically supports algal species. The next landward state is the mineral low marsh; it is dominated by Spartina alterniflora and is typically flooded at high tide. Sediments here may be largely mineral in origin. The next landward state is the high marsh; it may be dominated by S. patens, Distichlis spicata, and Juncus roemerianus. It is occasionally inundated by high tides and the soil is usually organic. The transition zone between the high marsh and the forest is typically dominated by Iva frutescens, Baccharis hamifolia, and Juniperus virginiana. It is only inundated during severe storm surges. The forest may be dominated by either pines or hardwoods and is again flooded with sea water only by storm surges. Brinson, M.M., R.R. Christian, and L.K. Blum. 1995. Multiple states in the sea-level induced transition from terrestrial forest to estuary. Estuaries 18:648-659.
Sediment grain size in seagrass restoration plots in the Virginia coastal bays, 2010-2016
This dataset contains particle size distributions for sediment samples collected from Z. marina restoration plots in Hog Island Bay and South Bay, VA. Samples were collected every three years starting in 2010 from 64 sites in Hog Island Bay (58 restored seagrass sites, 6 bare sites), and 12 sites in South Bay (6 restored seagrass sites, 6 bare sites). Bare sites in South Bay were no longer sampled after 2013, due to colonization of the sites by seagrass. Restored sites were seeded between 2001-2008; plot-level particle size distributions were combined based on the age of the plots during each sampling year.
Scatter plot diagram to demonstrate correlation between relative telomere length (RTL) and age.
<p><strong>Figure S1. </strong>Scatter plot diagram to demonstrate correlation between relative telomere length (RTL) and age.</p>
Figures for plotting SMME schematic figure
<p>This repository provides figures that could be used to composing the schematic figure for SMME in the Fig.1 of <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3224365#">Carleton et al.</a> :</p> <p>PDF_golobal_mean_temp_2080-2099.pdf is the figure describe the PDF of GMST anomalies;</p> <p>tas_GCP_aggregated_rcp85_*_2080-2099.pdf are maps of surface temperature anomaly in impact regions from different climate models and model surrogate.</p>
Scatter plot diagram to demonstrate correlation between relative telomere length (RTL) and age.
<p><strong>Figure S1. </strong>Scatter plot diagram to demonstrate correlation between relative telomere length (RTL) and age.</p>
Data, plotting scripts, and figures for "Applying the swept rule for explicit partial differential equation solutions on heterogeneous computing systems"
<p>This dataset contains the figures, as well as the necessary plotting scripts and data to reproduce them, for the article "Applying the swept rule for explicit partial differential equation solutions on heterogeneous computing systems" by Daniel J. Magee, Anthony S. Walker, and Kyle E. Niemeyer (2020).</p> <p>The plotting scripts were all run using Python 3.7.6, and should be compatible with >3.6, but this has not been tested.</p> <p>The code included in this dataset is released under the BSD 3-Clause License. The figures are shared under the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).</p>
Efficient ensemble data assimilation for coupled models with the Parallel Data Assimilation Framework: Example of AWI-CM - output files and plot scripts
<p>This archive outputs_plotting.zip contains the raw output files (STDOUT) from the scaling runs performed for the paper "Efficient ensemble data assimilation for coupled models with the Parallel Data Assimilation Framework: Example of AWI-CM" submitted to GMD (gmd-2019-167). Further the scripts to extract timing information from the raw output files and plot scripts are included.</p> <p>The archive SST-DA_plotting.zip contains the scripts to compute RMS errors for the free ensemble run (output file in gmd_N46_free.zip) and the SST assimilation run (gmd_N46_sst.zip) and to plot these. The two output files contain each a Netcdf file with the ensemble mean state information and the stdout file from the model run.</p>
Reproducible Validation and Replication Studies in Nanoscale Physics (repro results plots - Ellis et al., 2016)
<p>This archive contains the Jupyter notebooks needed to reproduce the figures of the paper that are related to the Validation results and replication of Ellis et al. 2016. For further information direct to the README.md file.</p>
Supplementary Materials for Time-Aligned Edge Plots for Dynamic Graph Visualization
<p><strong>Abstract</strong>: We present <em>time-aligned edge plots</em>: time- and edge-scalable representations of dynamic graphs. Vertices are mapped to two vertical parallel axes. The left axis depicts the source vertices, whereas the right one depicts the destination vertices. The time axis is horizontally embedded in-between the two axes, resulting in a two-dimensional graph layout. Edges are added by drawing straight lines connecting the corresponding source and destination vertices through time, while the pixels along the lines are used to encode the time-varying information. In this way, the depiction of edges at the individual timepoints is reduced to only a few pixels, resulting in a less cluttered representation of dynamic graphs, while the alignment of edges over time reveals the temporal patterns in the data and preserves the users' mental map. We evaluate our approach by comparing it theoretically and empirically against the state-of-the-art using dynamic graphs of varying complexities.</p>
Data from: Are skyline plot-based demographic estimates overly dependent on smoothing prior assumptions?
<p>In Bayesian phylogenetics, the coalescent process provides an informative framework for inferring changes in the effective size of a population from a phylogeny (or tree) of sequences sampled from that population. Popular coalescent inference approaches such as the Bayesian Skyline Plot, Skyride and Skygrid all model these population size changes with a discontinuous, piecewise-constant function but then apply a smoothing prior to ensure that their posterior population size estimates transition gradually with time. These prior distributions implicitly encode extra population size information that is not available from the observed coalescent data i.e. the tree. Here we present a novel statistic, Ω, to quantify and disaggregate the relative contributions of the coalescent data and prior assumptions to the resulting posterior estimate precision. Our statistic also measures the additional mutual information introduced by such priors. Using Ω we show that, because it is surprisingly easy to over-parametrise piecewise-constant population models, common smoothing priors can lead to overconfident and potentially misleading inference, even under robust experimental designs. We propose Ω as a useful tool for detecting when posterior estimate precision is overly reliant on prior choices.</p>
Species Abundance Distributions (SADs) for local tree communities in 1-ha forest plots on 20 tropical islands in the Indo-Pacific region
<p>Species abundance distributions (SADs) characterise the distribution of individuals among species. This dataset was used to investigate the relative importance of disturbance regime (tropical cyclone regime) and island geography (the area and isolation of islands) on the shape of SADs.</p>
Forest biomass in subtropical Andes: Plots data
<p>Forest biomass plays an important role in the global carbon cycle. Therefore, understanding the factors that control forest biomass stocks and dynamics is a key challenge in the context of global change. We analyzed data from 60 forest plots in the subtropical Andes (22-27.5° S and 300-2300 m asl) to describe patterns and identify drivers of aboveground biomass (AGB) stocks and dynamics. We found that AGB stocks remained roughly constant with elevation due to compensating changes in basal area (which increased with elevation) and plot-mean wood specific gravity (which decreased with elevation). AGB gain and loss rates both decreased with elevation and were explained mainly by temperature and rainfall (positive effects on both AGB gains and losses). AGB gain was also correlated with forest use history and weakly correlated with forest structure. Mean annual temperature and rainfall showed minor effects on AGB stocks and AGB change (gains minus losses) over recent decades. Although AGB change was only weakly correlated with climate variables, increases in AGB gains and losses with increasing rainfall – together with observed increases in rainfall in the subtropical Andes – suggest that these forests may become increasingly dynamic in the future.</p>
Data from: A tale of scale: plot but not neighbourhood tree diversity increases leaf litter ant diversity
1. Diversity of producers (e.g. plants) usually increases the diversity of associated organisms, but the scale (i.e. the spatial area of plant diversity considered) at which plant diversity acts on other taxa has rarely been studied. Most evidence for cross-taxon diversity relations come from aboveground consumers that directly interact with plants. 2. Experimental tests of plant diversity effects on elusive organisms inhabiting the leaf litter layer, which are important for nutrient cycling and decomposition, are rare. 3. Using a large tree diversity experiment, we tested whether tree diversity at the larger plot (i.e. community) or the smaller neighbourhood scale relates to the abundance, species richness, functional, and phylogenetic diversity of leaf litter ants, which are dominant organisms in brown food webs. 4. Contrary to our expectations of scale-independent positive tree diversity effects, ant diversity increased only with plot but not neighbourhood tree diversity. While the exact causal mechanisms are unclear, nest relocation or small-scale competition among ants may explain the stronger tree diversity effects at the plot scale. 5. Our results indicate that even for small and less mobile organisms in the leaf litter, effects of tree diversity are stronger at relatively larger scales. The finding emphasize the importance of diverse forest stands, in which mixing of tree species is not restricted to small patches, for supporting arthropod diversity in the leaf litter.
Figures, plotting scripts, and data for "Resolving non-uniform temperature distributions with single-beam absorption spectroscopy. Part I: Theoretical capabilities and limitations"
<p>This dataset contains the necessary materials to recreate the figures in "Resolving nonuniform temperature distributions with single-beam absorption spectroscopy: Part I: Theoretical capabilities and limitations."</p> <p>The code included in this dataset is released under the BSD 3-Clause License. The figures are shared under the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).</p>
Back into the past: Resurveying random plots to track community changes in Italian coastal dunes
<p>This dataset includes two excel sheets. The first contains vegetation data ("species_data", a matrix of 668 plots x 213 species) and the second contains plant functional traits data ("traits_data") that were used to evaluate temporal changes in taxonomic and functional diversity of Mediterranean coastal dune habitats.</p> <p><span><span><span><span><span><span><span><span><span><span><span>As to the first sheet ("species_data"): vegetation data were collected at two points in time (Time 0, hereafter T<sub>0</sub>: 2002-2007, and Time 1, herafter T<sub>1</sub>: 2017-2018) in 334 randomly-sampled, georeferenced, standardized (4 m<sup>2</sup>) plots. Historical data used for the resurveying study were extracted from RanVegDunes (Sperandii et al. 2017). Details on the resurveying protocol can be found in Sperandii et al. (2019), but in short: resampling activities took place during the same months in which the original sampling was done, and plot positions were relocated using a GPS unit on which historical geographic coordinates were stored. Plots are located in coastal dune sites along the Tyrrhenian and Adriatic coasts of Central Italy, and belong to herbaceous communities classified into the following EU Habitats (sensu Annex I 92/43/EEC): upper beach (Habitat 1210), embryo dunes (Habitat 2110), shifting dunes (Habitat 2120), fixed dunes (Habitat 2210), and dune grasslands (Habitat 2230). A subset of plots could not be classified into an EU Habitat because they were highly disturbed or invaded by alien species ("NC-plots"). The matrix includes cover data, expressed as percentage (%) cover. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>As to the second sheet ("traits_data"): this sheet includes data on 3 plant functional traits, two of them quantitative (plant height, specific leaf area - SLA) and one qualitative (plant lifespan). Data for the quantitative traits represent species-level average trait values and were extracted from "TraitDunes", a database registered on the global platform TRY (Kattge et al., 2020). Functional trait data were collected in the same sites covered by the resurveying study. Functional trait data were originally measured on the most abundant species, and are available for a varying number of species depending on the trait.</span></span></span></span></span></span></span></span></span></span></span></p> <p>References:</p> <p>Kattge, J., Bönisch, G., Díaz, S., Lavorel, S., Prentice, I. C., Leadley, P., ... & Wirth, C. (2020). TRY plant trait database–enhanced coverage and open access. Global Change Biology.</p> <p>Sperandii, M.G., Prisco, I., Stanisci, A., & Acosta, A.T.R (2017). RanVegDunes-A random plot database of Italian coastal dunes. Phytocoenologia, 47(2), 231-232.</p> <p>Sperandii, M.G., Bazzichetto, M., Gatti, F., & Acosta, A.T.R. (2019). Back into the past: Resurveying random plots to track community changes in Italian coastal dunes. Ecological Indicators, 96, 572-578.</p>
Figure 4 Network plots for CD013155
<p>High resolution image of network plots for the Cochrane review: "Treatment for bleeding oesophageal varices in people with decompensated liver cirrhosis: a network meta-analysis" (DOI: 10.1002/14651858.CD013155)</p>
Figure 6 Forest plots for CD013155
<p>High resolution image of forest plots for the Cochrane review: "Treatment for bleeding oesophageal varices in people with decompensated liver cirrhosis: a network meta-analysis" (DOI: 10.1002/14651858.CD013155)</p>
Figure 5 Inconsistency factor plots for CD013122
<p>This is the high-resolution image of inconsistency factor plots for the Cochrane review: "Secondary prevention of variceal bleeding in adults with previous oesophageal variceal bleeding due to decompensated liver cirrhosis: a network meta-analysis (DOI: 10.1002/14651858.CD013122)"</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.