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.
1,445
datasets available to search
ShareScore release 0.7.1
Dataset results
1,445 results for “species richness.”
FIGURE 20 in The genus Manota Williston (Diptera: Mycetophilidae) in Peruvian Amazonia, with description of sixteen new species and notes on local species richness
FIGURE 20. Manota anfracta Hippa & Kurina (Peru). A. Hypopygium, ventral view. B. Hypopygium, dorsal view. C. Hypoproct and aedeagus, ventral view. Scale 0.1 mm.
FIGURE 18 in The genus Manota Williston (Diptera: Mycetophilidae) in Peruvian Amazonia, with description of sixteen new species and notes on local species richness
FIGURE 18. Manota pustulosa sp. n. (holotype). A. Hypopygium, ventral view. B. Hypopygium, dorsal view. C. Hypoproct and aedeagus, ventral view. Scale 0.1 mm.
FIGURE 15 in The genus Manota Williston (Diptera: Mycetophilidae) in Peruvian Amazonia, with description of sixteen new species and notes on local species richness
FIGURE 15. Manota parvula sp. n. (holotype). A. Hypopygium, ventral view. B. Hypopygium, dorsal view. C. Hypoproct and aedeagus, ventral view. D. Juxtagonostylar megasetae and apical part of gonostylus, dorsal view. Scale 0.1 mm.
FIGURE 4 in The genus Manota Williston (Diptera: Mycetophilidae) in Peruvian Amazonia, with description of sixteen new species and notes on local species richness
FIGURE 4. Manota aristoseta sp. n. (holotype). A. Hypopygium, ventral view. B. Hypopygium, dorsal view. C. Hypoproct and aedeagus, ventral view. Scale 0.1 mm.
FIGURE 8 in The genus Manota Williston (Diptera: Mycetophilidae) in Peruvian Amazonia, with description of sixteen new species and notes on local species richness
FIGURE 8. Manota exigua sp. n. (holotype). A. Hypopygium, ventral view. B. Hypopygium, dorsal view. C. Hypoproct and aedeagus, ventral view. Scale 0.1 mm.
FIGURE 3 in The genus Manota Williston (Diptera: Mycetophilidae) in Peruvian Amazonia, with description of sixteen new species and notes on local species richness
FIGURE 3. Manota aligera sp. n. (A–D holotype, E, F paratype). A. Hypopygium, ventral view. B. Hypopygium, dorsal view. C. Hypoproct and aedeagus, ventral view. D, E. Juxtagonostylar megasetae with associated parts, dorsal view. F. posterior part of right side gonocoxa, dorsal view. Scale 0.1 mm. aed = apex of aedeagus, aeda = aedeagal apodeme, ce = cercus, dm = dorsal medial margin of gonocoxa, f-ss = flame-shaped seta, gs = gonostylus, gx = gonocoxa, gxa = gonocoxal apodeme, hpr = hypoproct, jxs = juxtagonostylar seta, p-ll = plate-like lobe, psl = parastylar lobe, st9 = sternite 9, tg9 = tergite 9, vm = ventral medial margin of gonocoxa.
FIGURE 2 in The genus Manota Williston (Diptera: Mycetophilidae) in Peruvian Amazonia, with description of sixteen new species and notes on local species richness
FIGURE 2. Manota flabellata sp. n. A. Habitus, lateral view, scale 0.5 mm. B. Head and thorax, closer view, scale 0.2 mm. anepst = anepisternum, a bas = anterior basalare, cx = coxa, fc = face, flgm = flagellar segment, hlt = halter, ltg = laterotergite, mtepst = metepisternum, ped = pedicel, plp = palpal segment, pos = postocular setae, preepst 2 = preepisternum 2, sc = scutum, scp = scape, wg = wing.
Dataset: Global hotspots and correlates of alien species richness across taxonomic groups
<p>Data-set and data sources used in analyses, including alien species richness for 8 taxonomic groups and socio-economic, climatic and geographic variables of 609 geographic regions.</p>
R code and data for "Intraspecific and intraindividual trait variability decrease with tree species richness in a subtropical tree diversity experiment"
<p>R codes and dataset for tha statistical analyses and production of figures in "Intraspecific and intraindividual trait variability decrease with tree species richness in a subtropical tree diversity experiment" by Castro Sánchez-Bermejo et al.</p>
Fig. 1 in Species Richness Of Dung-Feeding Beetles (Coleoptera: Aphodiidae, Scarabaeidae, Hybosoridae) In Tropical Rainforest At Danum Valley, Sabah, Malaysia
Fig. 1. Species accumulation graph for dungfeeding beetles collected by ground baited pitfall trap.
Data from: Bee species richness through time in an urbanizing landscape of the southeastern USA
<p>Authors: Selina A. Ruzi, Elsa Youngsteadt, April Hamblin Cherveny, Jessica Kettenbach, Hannah K. Levenson, Danesha Seth Carley, Jaime A. Collazo, and Rebecca E. Irwin</p><p>*Corresponding author: Selina A. Ruzi, <a href="mailto:sruzi24@gmail.com">sruzi24@gmail.com</a></p><p>Abstract: Compared to non-urban environments, cities host ecological communities with altered taxonomic diversity and functional trait composition. However, we know little about how these urban changes take shape over time. Using historical bee (Apoidea: Anthophila) museum specimens supplemented with online repositories and researcher collections, we investigated whether bee species richness tracked urban and human population growth over the past 118 years. We also determined which species were no longer collected, whether those species shared certain traits, and if collector behavior changed over time. We focused on Wake County, North Carolina, USA where human population size has increased over 16 times over the last century along with the urban area within its largest city, Raleigh, which has increased over four times. We estimated bee species richness with occupancy models, and rarefaction and extrapolation curves to account for imperfect detection and sample coverage. To determine if bee traits correlated with when species were collected, we compiled information on native status, nesting habits, diet breadth, and sociality. We used non-metric multidimensional scaling to determine if individual collectors contributed different bee assemblages over time. In total, there were 328 species collected in Wake County. We found that although bee species richness varied, there was no clear trend in bee species richness over time. However, recent collections (since 2003) were missing 195 species, and there was a shift in trait composition, particularly lost species were below-ground nesters. The top collectors in the dataset differed in how often they collected bee species, but this was not consistent between historic and contemporary time periods; some contemporary collectors grouped closer together than others, potentially due to focusing on urban habitats. Use of historical collections and complimentary analyses can fill knowledge gaps to help understand temporal patterns of species richness in taxonomic groups that may not have planned long-term data.</p><p> </p><p>Usage notes: To access the R project, please go to https://github.com/sruzi24/Ruzi_etal_temporal_bee_richness</p>
Fig. 2 in Altitudinal Distribution of Aquatic Beetles (Coleoptera) in Northern Tunisia: Relationship between Species Richness and Altitude
Fig. 2. Relationship between number of sampling sites and species richness at three altitudinal levels. 1 = 1–249 m;
Dataset and code for the manuscript "Plant indirect interactions reduce species richness but increase phylogenetic diversity"
<p>This Zenodo repository contains the original data set and code for replicating the result published in the paper "<strong>Plant indirect interactions reduce species richness but increase phylogenetic diversity</strong>"</p><p> </p><ol><li>The "BD.xlsx" data frame contains the original data. The first column, "ID," is an ID for each one of the patches (i.e., vegetation units containing one or more individuals for the same or different species separated from other patches by bare ground). The second and third columns, "localidad" and "suelo", inform about the location where patches are found. The "species" column identifies the different species present at each patch.</li><li> The "Comb1.xlsx" data frame contains the possible combination of 4 species for each ID (concatenation of "localidad" and "suelo") for all the species found in the sampling. Besides "ID", there is one column for each of the species included in interactions ("spA", "spB", "spC", "spD") that contains the name of the species.</li><li>The "phylo.xlsx" data frame contains the taxonomic information of the species found during the sampling. For each species recorded in column "species" we assign its genus (column "genus") and family (column "family")</li><li> "ALL_IN.xlsx" is a data frame containing for each "ID" (proxy of location), the species involved in interactions ("spA", "spB", "spC" & "spD"), the "interaction sign" indicating if a given interaction is positive or negative (results based on simulation) and "Order" indicating the number of species involved in the interactions(from two to four).</li><li>"Code.R" provides the R code necessary to obtain the results. As statistics is based on simulation, every run can provide slightly different results, although differences do not affect interpretation. Please note that running time can be elevated depending on the computer used.</li></ol><p> </p>
FIGURE 3. Pachyphytum odam Art. Castro & P. Carrillo. A–B in Spatial richness analysis and an evaluation of extinction risk for the genus Pachyphytum (Crassulaceae), with the description of a new species from Sierra Madre Occidental, Mexico
FIGURE 3. Pachyphytum odam Art. Castro & P. Carrillo. A–B. Lateral and front view of the flower. C. Lateral view of the rosette. D. Calyx lobes. E. Corolla lobes. F. Transverse view of the ovary. G. Lateral view of the androecium and gynoecium. H. Petal abaxial view. I. Lateral view of the corolla without the calyx. J–K. Lateral and adaxial view of the cincinnus. Photographs: Arturo Castro Castro.
FIGURE 2 in Spatial richness analysis and an evaluation of extinction risk for the genus Pachyphytum (Crassulaceae), with the description of a new species from Sierra Madre Occidental, Mexico
FIGURE 2. Species richness by grid cell of Pachyphytum. Biogeographic provinces according to Morrone et al. (2017).
Supplementary material 5 from: Gaudeul M, Sweeney P, Munzinger J (2024) An updated infrageneric classification of the pantropical species-rich genus Garcinia L. (Clusiaceae) and some insights into the systematics of New Caledonian species, based on molecular and morphological evidence. PhytoKeys 239: 73-105. https://doi.org/10.3897/phytokeys.239.112563
Molecular phylogeny of Garcinia L. based on a combined ITS and chloroplast DNA (psbM-trnD, trnQ-rps16 and rps16-trnK) dataset and Bayesian inference
High avian species richness in a minute Cerrado remnant in southeastern Brazil
<p>Antonelli, Victor Rodrigues. Departamento de Ciência Florestal, Solos e Ambiente, Universidade Estadual Paulista.</p> <p>e-mail: victor.r.antonelli@unesp.br</p> <p>Supplementary material.</p> <p><span>Supplementary material 1. Location of the Botucatu State Forest, southeastern Brazil.</span></p> <p><span>Supplementary material 2. Published references on the birds of Botucatu, southeastern Brazil.</span></p> <p><span>Supplementary material 3. Bird species observed at Botucatu State Forest (FEB), Pond adjacent to FEB (LAFEB), and Cabocla pond (LC), southeastern Brazil. The primary list (1) represents documented (photograph, sound recording, museum specimen) species; the secondary list (2) includes species that lack documentation but are certainly found in the areas; in the tertiary list (3) are species whose range or identification demand proper documentation to be included in the areas. Habitats include: Aq. = Aquatic, DG = Dry grassland, Fly = Flyover, GF = Gallery forest, WG = Wet grassland. Migration status are: MGT = migratory, MPR = partially migratory, ND = not defined. Threat status at state (SP), national (BR) and global (IUCN) levels: CR = Critically Endangered, EN = Endangered, VU = Vulnerable; NT = Near Threatened. Sources stand for A = this study, C = Ciambelli (2008), E = eBird, R = Risso (2023), W = Wikiaves, * = Cerrado endemic species (Silva 1995, Silva and Santos 2005). Taxonomy follows the Brazilian Ornithological Records Committee (Pacheco et al. 2021).</span></p> <p><span>Supplementary material 4. Results of Bayesian Logistic Regression for 15 Cerrado remnants in São Paulo state, southeastern Brazil.</span></p> <p>Supplementary material 5. Noteworthy records.</p>
Data from: Intersexual flower differences in an andromonoecious species: small pollen‐rich staminate flowers under resource limitation
<p>Data archived here were used for analyses in Murakami et al. "Intersexual flower differences in an andromonoecious species: small pollen‐rich staminate flowers under resource limitation." Data is in three worksheets.</p>
Changes in plant species richness due to land use and nitrogen deposition across the globe
<p>Data and scripts corresponding to the article "Combined effects of land use and nitrogen deposition on plant species richness worldwide". In the article, we quantified the combined effects of land use and nitrogen deposition on terrestrial plant species richness at a 0.25º spatial resolution across the globe. We first determined the proportional changes in plant species richness for different land-use types and N deposition values through meta-analyses of local monitoring data obtained from the literature. We then combined the site-level responses with global land use and N deposition maps in a new multi-pressure species-area relationship (mp-SAR) model to provide estimates of changes in plant species richness at a resolution of 0.25º (about 25 km at the equator) worldwide.</p> <p>In this repository you will find all the data necessary to get the final results and the code in R to guide you through out the analysis.</p>
Key roles for the freezing line and disturbance in driving the low plant species richness of temperate regions
<p><b>Aim</b>: At the macroscale, climate strongly correlates with species richness gradients, resulting from differences in <i>in-situ</i> diversification and dispersal. One historical explanation for the pattern is that regions spanning temperate climates contain few species because past disturbances have generated high extinction rates, and species from tropical regions are unable to easily colonize temperate regions. We test these postulates for Himalayan plants, which span subtropical to temperate climates over steep elevational gradients.</p> <p><b>Location: </b>Himalaya</p> <p><b>Time period:</b> Present day</p> <p><b>Major taxa studied:</b> Angiosperms</p> <p><b>Methods: </b>We use<b> </b>a comprehensive survey of 31 floras to document the elevational and geographical distributions of native Himalayan plants, augmented by field studies of trees in both the east and west Himalaya. We use grade of membership models to cluster species according to locations shared and phylogenetic analysis to evaluate diversification rates.</p> <p><b>Results: </b>Species fall into four cohesive biotas, organized by climate. Points of turnover between biotas occur where the mean minimum temperature of the coldest month is approximately 0<sup>o</sup>C (2,000 m - 2,500 m), and at the point of occasional annual freezing (1,000 m - 1,500 m); these boundaries run the length of the Himalaya. The patterns are retained when we consider whole clades rather than species. All plants (and the subsets trees, herbs and shrubs) belonging to the biota above the 2,000 m - 2,500 m line have higher recent speciation rates than those lower down.</p> <p><b>Main conclusions:</b> We attribute the high rate of recent speciation in temperate climates to high rates of turnover, creating ecological and geographical opportunity. The high elevation biota has few species, but spans the largest area, implying species numbers are far from any carrying capacity, at least with respect to accumulation of allopatric forms. This study thus links climatic restrictions of clades to differences in diversification rates, and by inference species numbers.</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.