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.”
Fig. 7 in Scorpions of the Brandberg Massif, Namibia: Species richness inversely correlated with altitude
Fig. 7. Brandberg Massif (Namibia), just below summit of Massif in Goaseb (Ga-Asab) Gorge, facing south to gravel plains, dry year. Rocky slopes, habitat of Brandbergia haringtoni Prendini, 2003, Hadogenes tityrus (Simon, 1888) and Uroplectes planimanus (Karsch, 1879).
Fig. 6 in Scorpions of the Brandberg Massif, Namibia: Species richness inversely correlated with altitude
Fig. 6. Brandberg Massif (Namibia), upper slopes of Massif in Goaseb (Ga-Asab) Gorge, facing northeast, wet year. Dominant vegetation, Cyphostemma currorii (Hook.f.) Desc. and Ozoroa crassinervia (Engl.) R. Fern & A. Fern. Rocky slopes, habitat of Brandbergia haringtoni Prendini, 2003, Lisposoma elegans Lawrence, 1928, Hadogenes tityrus (Simon, 1888), and Uroplectes planimanus (Karsch, 1879). Woody vegetation, habitat of Uroplectes otjimbinguensis (Karsch, 1879).
Fig. 8 in Scorpions of the Brandberg Massif, Namibia: Species richness inversely correlated with altitude
Fig. 8. Brandberg Massif (Namibia), Wasserfallfläche, plateau on summit of Massif, facing southwest, wet year. Dominant vegetation, Boscia albitrunca (Burch.) Gilg & Gilg-Ben., Cyphostemma currorii (Hook.f.) Desc. and Euphorbia sp. Rocky flats and slopes, habitat of Lisposoma elegans Lawrence, 1928, Hadogenes tityrus (Simon, 1888) and Uroplectes planimanus (Karsch, 1879). Sandy flats, habitat of Parabuthus brevimanus (Thorell, 1876) and Opistophthalmus carinatus (Peters, 1861). Woody vegetation, habitat of Uroplectes otjimbinguensis (Karsch, 1879).
Fig. 27 in Terrestrial mollusc species richness and diversity in Omo Forest Reserve, Ogun State, Nigeria
Fig. 27. Sample-based species accumulation curves for terrestrial molluscs in Omo Forest Reserve, Ogun State, Nigeria. Plotted values are means based on 100 randomisations of sample accumulation order (without replacement). Solid line, species observed; dashed lines, 95 % confidence limit.
Figs 23–26 in Terrestrial mollusc species richness and diversity in Omo Forest Reserve, Ogun State, Nigeria
Figs 23–26. (23–25) Urocyclidae: (23) Thapsia oscitans, H 8.8 mm; (24) Trochozonites talcosus, H 8.3 mm; (25) Trochozonites adansoniae, H 6.3 mm; (26) Aillyidae, Aillya camerunensis, H 4.4 mm. Scale bars = 5 mm (Figs 23–25) and 1 mm (Fig 26).
Figs 13–22 in Terrestrial mollusc species richness and diversity in Omo Forest Reserve, Ogun State, Nigeria
Figs 13–22. Streptaxidae: (13) Gonaxis camerunensis, H 9 mm; (14) Ptychotrema okei, H 9.9 mm; (15) Ptychotrema sp., H 9.8 mm; (16) Ptychotrema shagamuense, H 15.8 mm; (17) Gulella monodon, H 6.48 mm; (18) Gulella reesi, H 5.92 mm; (19) Gulella io, H 3.64 mm; (20) Gulella jongkindi, H 4.08 mm; (21) Gulella cf. opoboensis, H 3.24 mm; (22) Tomostele musaecola, H 3.84 mm. Scale bars = 5 mm (Figs 13–16) and 1 mm (Figs 17–22).
Patterns of species richness and turnover in endemic amphibians of the Guineo-Congolian rainforest
<p><strong>Aim</strong>: The African Guineo-Congolian (GC) region is a global biodiversity hotspot with high species endemism, bioclimatic heterogeneity, complex landscape features, and multiple biogeographic barriers. Bioclimatic and geographic variables influence global patterns of species richness and endemism, but their relative importance varies across taxa and regions and is poorly understood for many faunas. We characterized patterns of richness and turnover in endemic amphibians of the GC biodiversity hotspot and evaluated the relative roles of geographic distance and bioclimatic variables in predicting turnover. </p> <p><strong>Location</strong>: West and Central Africa. </p> <p><strong>Major taxa studied</strong>: Amphibians</p> <p><strong>Methods</strong>: We compiled species-occurrence records via field sampling, online databases, and taxonomic literature. Our study used 1205 unique georeferenced records of 222 amphibian species endemic to the GC region. Patterns of species richness were mapped onto a grid with a spatial resolution of 0.5° × 0.5°. We estimated weighted endemism and tested whether endemism was higher than the expected species richness (randomization test). We quantified species turnover using generalized dissimilarity modelling to evaluate the processes underlying observed patterns of species richness in GC endemic amphibians. We explored bioregionalization using agglomerative hierarchical clustering based on the unweighted pair group method with arithmetic averages. </p> <p><strong>Results</strong>: We identified six areas within the lower GC region – forests in Southern Nigeria, Cameroon, Equatorial Guinea, Gabon, Republic of Congo, and Democratic Republic of Congo – as having high species richness of endemic amphibians. The randomization test returned four major areas of significant weighted endemism: Nigeria-Cameroon mountains, forest regions of the Democratic Republic of Congo, Cote d'Ivoire, and Ghana. Our analysis revealed five bioregions for amphibian endemism, four of which were located within the lower Guineo-Congolian forest. Species turnover was strongly related to the geographic distance between grid cells; contributing bioclimatic variables included precipitation of the warmest quarter, mean temperature of the wettest quarter, and mean diurnal temperature range. </p> <p><strong>Main conclusions</strong>: Our results indicate that geographic distance between grid cells is the primary determinant of turnover in GC endemic amphibians, with secondary but significant effects of rainfall- and temperature-related variables. Our results identify key areas of endemic amphibian richness that could be prioritized for conservation actions.</p>
Figures 2–5 in One size doesn′t fit all: Singularities in bat species richness and activity patterns in wind-energy complexes in Brazil and implications for environmental assessment
Figures 2–5. Bat activity based on the pooled number of echolocation pulses per hour in four wind-energy complexes in northeastern Brazil, from September 2015 to January 2017: (2) Curva dos Ventos, municipality of Caetité, state of Bahia; (3) Cristal, municipality of Morro do Chapéu, state of Bahia; (4) Modelo, municipality of João Câmara, state of Rio Grande do Norte; (5) Fonte dos Ventos, municipality of Tacaratu, state of Pernambuco.
Figure 1 in One size doesn′t fit all: Singularities in bat species richness and activity patterns in wind-energy complexes in Brazil and implications for environmental assessment
Figure 1. Wind-energy complexes in northeastern Brazil studied for the presence and activity of insectivorous bats from September 2015 to January 2017.
FIGURE 3 in Inferring global species richness from megatransect data and undetected species estimates
FIGURE 3 Latitudinal distribution of currently valid species of Pholcidae. Numbers of Pholci- dae species (x-axis) known from different latitudes (y-axis; N, north; S, south), with the land mass distribution shown in grey (from www.ecoclimax.com; excluding Antarctica). Pholcidae species richness is slightly shifted towards the north, possibly as a result of the unbalanced land masses and/or taxonomists' biases, but most diversity is in tropical regions.
FIGURE 2 in Inferring global species richness from megatransect data and undetected species estimates
FIGURE 2 Cumulative percentages of new species (y-axis) as a function of cumulative field days (x-axis) (left) and cumulative number of total (upper/blue line) and new (lower/red line) species (y-axis) as a function of culumative field days (x-axis) (right), for the three major tropical megatransects shown on the map. Each green dot represents a sampling locality. For raw data of all geographic regions, see supplementary tables S1–S5.
FIGURE 1 in Inferring global species richness from megatransect data and undetected species estimates
FIGURE 1 Cumulative curve of currently valid species of Pholcidae (y-axis) as a function of time (x-axis). The curve suggests that we are far from approaching a complete taxonomic knowledge of the family.
Data from: Optimizing passive acoustic monitoring (PAM) for Biodiversity Studies: using species-area relationship (SAR) to predict species richness
Open the record for dataset details and reuse information.
Data from: Species richness and evenness of European bird communities show differentiated responses to measures of productivity
Open the record for dataset details and reuse information.
Environmental controls on butterfly occurrence and species richness in Israel: The importance of temperature over rainfall
Open the record for dataset details and reuse information.
Patterns of functional diversity along latitudinal gradients of species richness in eleven fish families
Open the record for dataset details and reuse information.
Midpoint attractor models resolve the mid-elevation peak in Himalayan plant species richness
Open the record for dataset details and reuse information.
Species richness: a pivotal factor mediating the effects of land use intensification and climate on grassland multifunctionality
Open the record for dataset details and reuse information.
Data from: An effective method for ecosystem-scale manipulation of bird abundance and species richness
Open the record for dataset details and reuse information.
Patterns of species richness and turnover in endemic amphibians of the Guineo-Congolian rainforest
Open the record for dataset details and reuse information.
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.