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FIGURE 1 in Checklist of Kilimanjaro grasses shows that both plot and herbarium methods are necessary to record diversity
FIGURE 1. Map of the study area (black line) centred on Mount Kilimanjaro in Tanzania, with the location of all study plots (red in b), and all georeferenced specimens except those from the plots (red in a). Maps generated in R using the 'ggmap' and 'ggplot2' packages (Kahle & Wickham, 2016; Wickham, et al., 2018).
Figures 112–115. Continuous jackknife function plots. 112 in Delimiting baridine weevil evolution (Coleoptera: Curculionidae: Baridinae)
Figures 112–115. Continuous jackknife function plots. 112, tree congruence of full taxon matrix (FTM) trees as the probability of character removal changes; 113, tree conflict of FTM trees as the probability of character removal changes; 114, tree congruence of reduced taxon matrix (RTM) trees as the probability of character removal changes; 115, tree conflict of RTM trees as the probability of character removal changes.
Cutting Plane Selection with Analytic Centers and Multiregression - Density Filtering Plots
<p>This repository contains the detailed plots for the density filtering experiments of the paper "Cutting Plane Selection with Analytic Centers and Multiregression".<br> The data were generated by the experiments available on the associated [repository](https://github.com/Opt-Mucca/Analytic-Center-Cut-Selection).</p> <p>In the following naming conventions, `X` stands for density filtering at X%.<br> The plots `root_direct_filter_X.pdf` show the relative primal-dual difference at the end of the separation at the root node for each instance-seed pair.<br> The plots `root_avg_filter_X.pdf` show the relative primal-dual difference at the end of the separation at the root node for each instance with all seeds averaged with a geometric mean.<br> The plots `root_mindev_filter_X.pdf` show the relative primal-dual difference at the end of the separation at the root node for each instance with the minimum deviation between the baseline and filtered method.</p> <p>In the following naming conventions, `Y` stands for the quantity of interest including:<br> - `lp_iterations`: number of LP iterations to solve the problem (only when solved to optimality)<br> - `node`: number of nodes taken to solve the problem (only when solved to optimality)<br> - `time`: time taken to solve the problem<br> - `node_throughput`: number of nodes processed per second<br> - `lpiter_throughput`: number of LP iterations performed per second</p> <p>The plots `tree_direct_filter_Y_rel_X.pdf` show the relative primal-dual difference at the end of the separation at the root node for each instance-seed pair.<br> The plots `tree_agg_filter_Y_rel_X.pdf` show the relative primal-dual difference at the end of the separation at the root node for each instance with seeds aggregated with a geometric mean.</p> <p> </p>
An ArcGIS Pro workflow to extract vegetation indices from aerial imagery of small‐plot turfgrass research
<p>Collection of multispectral imagery from an aerial sensor is a means to obtain plot-level vegetation index (VI) values; however, post-capture image processing and analysis remain a challenge for small-plot researchers. An ArcGIS Pro workflow of two task items was developed with established routines and commands to extract plot-level VI values (Normalized Difference VI, Ratio VI, and Chlorophyll Index-Red Edge) from multispectral aerial imagery of small-plot turfgrass experiments. Users can access and download task item(s) from the ArcGIS Online platform for use in ArcGIS Pro. The workflow standardizes the processing of aerial imagery to ensure repeatability between sampling dates and across site locations. A guided workflow saves time with assigned commands, ultimately allowing users to obtain a table with plot descriptions and index values within a .csv file for statistical analysis. The workflow was used to analyze aerial imagery from a small-plot turfgrass research study evaluating herbicide effects on St. Augustinegrass [<em>Stenotaphrum secundatum</em> (Walt.) Kuntze] grow-in. To compare methods, index values were extracted from the same aerial imagery by TurfScout, LLC and were obtained by handheld sensor. Index values from the three methods were correlated with visual percentage cover to determine the sensitivity (i.e., the ability to detect differences) of the different methodologies.</p>
MDS Network Plots
<p>Two sources:</p> <ul> <li>Video of network change</li> <li>Individual network plot, which compose the video</li> </ul> <p> </p>
MATERIALS OF ARCHAEOLOGICAL RESEARCH OF THE ARCHAEOLOGICAL HERITAGE OBJECT CULTURAL LAYER OF VORONEZH ON THE TERRITORY OF THE LAND PLOT AT 1, KLUBNAYA STREET AND 30D, 20-LETIYA OKTYABRYA STREET
<p>Archaeological research on the land plot at the address: Voronezh, 1, Klubnaya Street, and 30d, 20-letiya Oktyabrya Street, was carried out as part of the implementation of the section of project documentation to ensure the safety of the identified cultural heritage site "Cultural layer of the city of Voronezh". As a result of the work, additional information was obtained on the history of the coastal part of the city in the XIX-th-XX-th centuries.</p>
FIG. 4. Admixture plots for 1−9 in Reconstructing the genomic diversity of a widespread Sub-Saharan bat (Pteropodidae: Eidolon helvum) using archival museum collections
FIG. 4. Admixture plots for 1−9 populations (K). Abbreviations: ND: no data, Lib: Liberia, IC: Ivory Coast, Cam: Cameroon, EG: São Tomé and Príncipe, Gab: Gabon, DRC – Democratic Republic of Congo, Sud: Sudan, Uga: Uganda, Mad: Madagascar
FIGURE 619. Scatter plot showing morphological differences between Diploneis species using 33 landmarks defining 21 in Morphological and molecular characterization of twenty-five new Diploneis species (Bacillariophyta) from Lake Tanganyika and its surrounding areas
FIGURE 619. Scatter plot showing morphological differences between Diploneis species using 33 landmarks defining 21 valve features corresponding to the points in Figure S1 and measured on about 30 valves of each species. Biplot of the first two principal components of the landmark analyses (75 % of variance explained) of all specimens analyzed, keyed by species in the legend.
FIG. 4. PCA plot depicting the winter-type categories developed for winter environmental data for a in Hoplodactylus tohu Scarsbrook & Walton & Rawlence & Hitchmough 2023, n. sp.
FIG. 4. PCA plot depicting the winter-type categories developed for winter environmental data for a Massasauga population located in southern Ontario, Canada. We analyzed local annual winter (November–April) environmental data: total precipitation, rainfall, snow, and the number of days mean temperature is below zero (Environment and Climate Change Canada, 2016).
FIGURE 5. Linear discriminant analysis plot that summarizes the total variation among five Ceratozamia species into two axes. Biplots A–I in Ceratozamia rosea (Zamiaceae): A new species from the Northern Mountains of Chiapas, Mexico
FIGURE 5. Linear discriminant analysis plot that summarizes the total variation among five Ceratozamia species into two axes. Biplots A–I correspond to traits listed in Table 2. Abbreviations: C. becerrae (bec), C. miqueliana (miq), C. rosea (ros), C. sancheziae (san), and C. zoquorum (zoq).
Fig. 3. STRUCTURE plot for Leucotaraxis argenticollis genotyped with 15 in Prey-associated genetic differentiation in two species of silver fly (Diptera: Chamaemyiidae), Leucotaraxis argenticollis and L. piniperda
Fig. 3. STRUCTURE plot for Leucotaraxis argenticollis genotyped with 15 microsatellite loci.The height of each bar represents the proportion of an individual′s genotype assigned to each of K = 4 clusters.The names of the clusters correspond to those in Fig. 1C. Vertical black lines separate groups of individuals collected in different states or provinces and on different adelgid host plant genera.
Fig. 4. STRUCTURE plot for Leucotaraxis piniperda genotyped with 16 in Prey-associated genetic differentiation in two species of silver fly (Diptera: Chamaemyiidae), Leucotaraxis argenticollis and L. piniperda
Fig. 4. STRUCTURE plot for Leucotaraxis piniperda genotyped with 16 microsatellite loci. The height of each bar represents the proportion of an individual′s genotype assigned to: A) each of K = 2 clusters for analysis of all individuals, and B) each of K = 2 clusters for analysis of only western individuals.The names of the clusters correspond to those in Fig. 1D. Vertical black lines separate groups of individuals collected in different states or provinces and on different adelgid host plant genera.
PTVD: A Large-Scale Plot-Oriented Multimodal Dataset Based on Television Dramas
<p>Art forms such as movies and television (TV) dramas are reflections of the real world, which have attracted much attention from the multimodal learning community recently. However, existing corpora in this domain share three limitations: <strong>i.</strong> annotated in a scene-oriented fashion, they ignore the coherence within plots; <strong>ii.</strong> their text lacks empathy and seldom mentions situational context; <strong>iii.</strong> their video clips fail to cover long-form relationship due to short duration. To address these fundamental issues, using 1,106 TV drama episodes and 24,875 informative plot-focused sentences written by professionals, with the help of 449 human annotators, we constructed PTVD, the first plot-oriented multimodal dataset in the cinema domain.</p>
TAPS plots on neuroblastoma samples
<p>TAPS plots on SNP-array data derived from five experimental set-ups including clinical neuroblastoma samples, two neuroblastoma PDX models and experiments on two neuroblastoma cell lines. </p>
'Danum Revised' seedling data for twenty-seven 4 m2 field plots, measured in 2020
<p>Datafile accompanying the publication <strong>Biodiversity consequences of long-term active forest restoration in selectively-logged tropical rainforests. </strong>(https://doi.org/10.1016/j.foreco.2023.121414)</p><p>This datafile entails the raw seedlings data which were used to calculate tree diversity and forest structure parameters presented in the above-named publication and in the following repository: https://doi.org/10.5281/zenodo.8041128</p><p>Use of these data require citation of this dataset and the associated publication (Keller <i>et al. submitted)</i>. We also require that you inform us of the use of the data would also appreciate the opportunity to be involved in work making use of this data. The required citations are follows:</p><p>Marfil, Tobias, Keller, Nadine, Bin Abd Karim, Bin Jelling, Steven, Zenden, & Philipson, Christopher D. (2023). 'Danum Revised' seedling data for twenty-seven 4 m2 field plots, measured in 2020 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8063292</p><p>Keller, Nadine, Pascal A Niklaus, Jaboury Ghazoul, Tobias Marfil, Elia Godoong, and Christopher D Philipson. 2023. "Biodiversity Consequences of Long-Term Active Forest Restoration in Selectively-Logged Tropical Rainforests." Forest Ecology and Management 549: 4. https://doi.org/10.1016/j.foreco.2023.121414.</p><p> </p>
The Quantile-Quantile Plots of Analyzed Variables in a Neuroscience Study
<p>Enclosed with this submission are the Quantile-Quantile Plots pertinent to the variables involved in our study. These plots serve as graphical evaluation methods for assessing the normality of our variables. </p>
Fig. 6. Linear correlation plots between the experimental and calculated 13C in Structurally diverse alkaloids with nine frameworks from Zephyranthes candida and their acetylcholinesterase inhibitory and anti-inflammatory activities
Fig. 6. Linear correlation plots between the experimental and calculated 13C NMR data for two isomers of 2.
Fig. 3. Linear correlation plots between the experimental and calculated 13C in Structurally diverse alkaloids with nine frameworks from Zephyranthes candida and their acetylcholinesterase inhibitory and anti-inflammatory activities
Fig. 3. Linear correlation plots between the experimental and calculated 13C NMR data for four isomers of 1.
Fig. 3. PCA scores scatter plots and HCA dendrograms for S in A chemometric assessment of essential oil variation of three Salvia species indigenous to South Africa
Fig. 3. PCA scores scatter plots and HCA dendrograms for S. africana-lutea (A and B), S. lanceolata (C and D) and S. chamelaeagnea (E and F) samples from various localities. The inserts are the PCA scores plots coloured according to the HCA dendrograms.
A decade of soil loss and runoff monitoring at Brazilian experimental plots
<p>Tha data set comprises three files: </p><ol><li>Long-term soil loss and runoff observations (nov/2011 to apr/2022) at experimental plot;</li><li>Daily meterological monitoring from a close station (2011-2022).</li></ol><p>Field monitoring took place in the central region of the State of São Paulo, Brazil, at the Arruda Botelho Institute (IAB), situated at a latitude of 22º10'S and a longitude of 47º52'W, with an elevation of 790 meters above sea level. This region experiences an average annual precipitation of 1486 mm and has a humid subtropical climate (classified as Cwa in the Köppen system). This climate features hot and humid summers from October to March, with a mean temperature of 23.6 °C and 77% of the annual rainfall, as well as dry winters from April to September, with a mean temperature of 19.5 °C and only 23% of the annual rainfall. The predominant soil type in the study area is Orthic Quartzarenic Neosol (RQo), characterized by its sandy texture, deep profile, good drainage, acidity, and low nutrient content.</p><p>Since 2011, continuous monitoring has been in place to track soil loss and runoff within experimental plots. These plots measure 5 meters in width and 20 meters in length, featuring a uniform slope of 9% and enclosed by metal sheets that are approximately 30 centimeters in height. To ensure the reliability of the data, the experiments are conducted in triplicate for each type of land cover, and the mean values are utilized in subsequent analyses to minimize the impact of random variations. The plots encompass five different land covers:</p><p>A. Sugarcane, which is cultivated using contour techniques with 1.5 meters of spacing between the rows. In its mature stage, sugarcane reaches a height of 2 meters, is harvested annually in November, and is replanted every four years;</p><p>B. Pasture, specifically Brachiaria decumbens, with a canopy height ranging from 5 to 30 centimeters. This pasture is utilized for cattle grazing, employing a 30-day rotation system where approximately 10 cattle, each weighing around 420 kilograms, graze on one hectare of land for a period of 5 days. The pasture plots were substituted with soybean in November 2019 to align with the agricultural land cover changes implemented on surrounding farms;</p><p>C. Cerrado, also known as wooded Cerrado, an undisturbed woodland typical of the central area of Brazil; </p><p>D. Bare soil, established in 2011 and later in 2020, which is maintained devoid of vegetation through glyphosate application and manual weeding;</p><p>E. Soybean, which is cultivated annually during the rainy season (November to March) and left fallow during the remaining months of the year.</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.