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131 results for “species-richness”
Explosive networking: the role of adaptive host radiations and ecological opportunity in a species-rich host-parasite assembly
<p>Dataset for Cruz-Laufer et al. (2021) Explosive networking: the role of adaptive host radiations and ecological opportunity in a species-rich host-parasite assembly.</p> <p><strong>Abstract: </strong>Many species-rich ecological communities emerge from adaptive radiation events. The effects of this explosive speciation on community assembly remain poorly understood. Here, we explore the well-documented radiations of African cichlid fishes and their interactions with the flatworm gill parasites <em>Cichlidogyrus </em>spp., including 10529 reported infections and 477 different host-parasite combinations collected through a survey of peer-reviewed literature. We assess how evolutionary, ecological, and morphological parameters determine host-parasite meta-communities affected by adaptive radiation events through network metrics, host repertoire measures, and network link prediction. The hosts’ evolutionary history mostly determined host repertoires of the parasites. Ecological and evolutionary parameters determined host-parasite interactions. Generally, ecological opportunity and fitting have shaped cichlid-<em>Cichlidogyrus</em> meta-communities suggesting an invasive potential for hosts used in aquaculture. Meta-communities affected by adaptive radiations are increasingly specialised with higher environmental stability. These trends should be verified across other systems to infer generalities in the evolution of species-rich host-parasite networks.</p>
Data from: Trade-off between standing biomass and productivity in species-rich tropical forest: evidence, explanations and implications
<p>These files are the R code and plot data files used for calculating species population turnover of biomass and abundance in a tropical forest plot.</p> <p>This dataset is a processed subset of the original dataset used in our analysis of biomass turnover across tree populations as demonstrated in <a href="https://doi.org/10.1111/1365-2745.13485">the main paper</a>. Readers interested in using the Pasoh 50-ha plot data for purposes other than reviewing our analysis are advised to contact the <a href="https://www.frim.gov.my/">Forest Research Institute Malaysia (FRIM)</a> and the <a href="https://forestgeo.si.edu/">Center for Tropical Forest Science-Forest Global Earth Observatory (CTFS-Forest GEO)</a>, Smithsonian Tropical Research Institute.</p>
Dataset Changes in structure and assembly of a species-rich soil natural community with contrasting nutrient availability upon establishment of a plant-beneficial Pseudomonas in the wheat rhizosphere
<p>This dataset is related to the paper "<strong>Changes in structure and assembly of a species-rich soil natural community with contrasting nutrient availability upon establishment of a plant-beneficial <em>Pseudomonas </em>in the wheat rhizosphere</strong>" (Garrido-Sanz et al., 2023, doi: 10.1186/s40168-023-01660-5) and contains the data obtained from bacterial competition asays and plant-growth measurements.</p> <p>Sequencing data used in this study has been deposited in the NCBI Sequence Read Archive (RSA) under the BioProject accession number <a href="https://www.ncbi.nlm.nih.gov/bioproject/PRJNA948847">PRJNA948847</a>.</p> <p>The R script used to analyze the data generated in the paper is available at <a href="https://github.com/dgarrs/Pprotegens_proliferation_NatComs">GitHub </a>and <a href="https://doi.org/10.5281/zenodo.8322086">Zenodo</a>.</p>
Figure 2 in Prospects for using DNA barcoding to identify spiders in species-rich genera
Figure 2. Box-and-whisker plots of average intraspecific divergence for 16 genera represented by more than 3 species (Neriene, Pimoa, and Theridion were excluded). The life history of each genus is also indicated.
Figure 1 in Prospects for using DNA barcoding to identify spiders in species-rich genera
Figure 1. Cumulative number of spider species described over time, including only species that are currently valid (description years for all valid species follow Platnick 2009).
Figure 5 in Prospects for using DNA barcoding to identify spiders in species-rich genera
Figure 5. Maximum intraspecific divergence compared with nearest-neighbor distance using all data for the four categories of topology: A monophyletic (133 cases), B nested (23 cases), C paraphyletic (28 cases), and D intermingled (16 case). See Methods for definitions. 89.7% of monophyletic and nested species fall above the 1:1 line, indicating the presence of a barcode gap, while 90.9% of paraphyletic and intermingled species fall below this line.
Figure 4 in Prospects for using DNA barcoding to identify spiders in species-rich genera
Figure 4. Maximum intraspecific divergence compared with nearest-neighbour distance of monophyletic morphospecies for all data and using only new data, which have been identified by a single spider taxonomist. Most species (92.5%) fall above the 1:1 line, indicating the presence of a "barcode gap".
Fig. 5 in Species Accumulation Curves And Similarity Traits Of A Species-Rich Fly (Diptera) Community
Fig. 5. Jackknifed NESS indices relating to the kth and (k + 1)th group of 50, k = 1,2,…, 19. In case of k = 8 and k = 14 samples from different years are compared
Fig. 2. Sample-based curve for 2003–2005 in Species Accumulation Curves And Similarity Traits Of A Species-Rich Fly (Diptera) Community
Fig. 2. Sample-based curve for 2003–2005. Two points, corresponding to species numbers after adding the first group of ten to the sample in 2004 and 2005 are denoted by empty symbol
Fig 9. Top 10 in Publishing trends and productivity in insect taxonomy from 1946 through 2012 based on an analysis of the Zoological Record for four species-rich families
Fig 9. Top 10 of most utilized journals from 1946 to 2012. A. Cicadellidae. B. Miridae. C. Pyralidae. D. Staphylinidae.
Fig 6 in Publishing trends and productivity in insect taxonomy from 1946 through 2012 based on an analysis of the Zoological Record for four species-rich families
Fig 6 (continued from previous page). Number of total articles and co-authored articles from 1946 to 2012. A. Cicadellidae. B. Miridae. C. Pyralidae. D. Staphylinidae.
Fig 6 in Publishing trends and productivity in insect taxonomy from 1946 through 2012 based on an analysis of the Zoological Record for four species-rich families
Fig 6 (continued on next page). Number of total articles and co-authored articles from 1946 to 2012. A. Cicadellidae. B. Miridae. C. Pyralidae. D. Staphylinidae.
Fig 5 in Publishing trends and productivity in insect taxonomy from 1946 through 2012 based on an analysis of the Zoological Record for four species-rich families
Fig 5 (continued on next page). Number of articles published by continent (Europe, North America, South America, Africa, Asia and Australia) between 1946 and 2012. A. Cicadellidae. B. Miridae. C. Pyralidae. D. Staphylinidae.
Fig 2 in Publishing trends and productivity in insect taxonomy from 1946 through 2012 based on an analysis of the Zoological Record for four species-rich families
Fig 2. Average new species described per article (Cicadellidae, Miridae, Pyralidae and Staphylinidae combined) from 1946 to 2012.
Fig 1 in Publishing trends and productivity in insect taxonomy from 1946 through 2012 based on an analysis of the Zoological Record for four species-rich families
Fig 1. Time series of newly described species for the families Cicadellidae, Miridae, Pyralidae and Staphylinidae between 1946 and 2012. A. Number of new species. B. Number of articles with new species.
Fig 4 in Publishing trends and productivity in insect taxonomy from 1946 through 2012 based on an analysis of the Zoological Record for four species-rich families
Fig 4. Total and average article length for for papers on the four families of Cicadellidae, Miridae, Pyralidae and Staphylinidae between 1946 and 2012.
Fig 3 in Publishing trends and productivity in insect taxonomy from 1946 through 2012 based on an analysis of the Zoological Record for four species-rich families
Fig 3. Average page length of new species descriptions (Cicadellidae, Miridae, Pyralidae and Staphylinidae combined) between 1946 and 2012.
Fig 5 in Publishing trends and productivity in insect taxonomy from 1946 through 2012 based on an analysis of the Zoological Record for four species-rich families
Fig 5 (continued from previous page). Number of articles published by continent (Europe, North America, South America, Africa, Asia and Australia) between 1946 and 2012. A. Cicadellidae. B. Miridae. C. Pyralidae. D. Staphylinidae.
Linked collectors and determiners for: Species-richness in Neotropical Sericothripinae (Thysanoptera: Thripidae).
Natural history specimen data linked to collectors and determiners held within, "Species-richness in Neotropical Sericothripinae (Thysanoptera: Thripidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/e369a54d-eaac-4bda-97c6-00b28be9b359">https://bionomia.net/dataset/e369a54d-eaac-4bda-97c6-00b28be9b359</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/e369a54d-eaac-4bda-97c6-00b28be9b359">https://gbif.org/dataset/e369a54d-eaac-4bda-97c6-00b28be9b359</a>. Formatted as a Frictionless Data package.
Data from: Plant diversity loss has limited effects on belowground biomass and traits but alters community short-term root production in a species-rich grassland
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.