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.
2,556
datasets available to search
ShareScore release 0.9.0
Dataset results
2,556 results for “assemblages”
Concordant and opposing effects of climate and land-use change on avian assemblages in California's most transformed landscapes
<p>Climate and land-use change could exhibit concordant effects that favor or disfavor the same species, which would amplify their impacts, or species may respond to each threat in a divergent manner, causing opposing effects that moderate their impacts in isolation. We used early 20th-century surveys of birds conducted by Joseph Grinnell paired with modern resurveys and land-use change reconstructed from historic maps to examine avian change in Los Angeles and California's Central Valley (and their surrounding foothills). Occupancy and species richness declined greatly in Los Angeles from urbanization, strong warming (+1.8°C) and drying (-77.2 mm), but remained stable in the Central Valley, despite large-scale agricultural development, average warming (+0.9°C), and increased precipitation (+11.2 mm). While climate was the main driver of species distributions a century ago, the combined impacts of land-use and climate change drove temporal changes in occupancy, with similar numbers of species experiencing concordant and opposing effects.</p>
Code and data used for the study: 'BioDeepTime: a database of biodiversity time series for modern and fossil assemblages'
<p>The repository includes code and data to reproduce the results in the manuscript ‘BioDeepTime: a database of biodiversity time series for modern and fossil assemblages' by Smith et al. (<code>analysis_biodeeptime.zip</code>).</p>
Fig. 1 in Species distribution and assemblages of centipedes (Chilopoda) in open xeric sites of Saxony-Anhalt (Germany)
Fig. 1. Locations of study sites. Abbr.: xeric meadows (XM) – FW, Fscha, KK 1, AA, AT, Bi 1, CH 2, EP, SH, BH, Ha 5; mesoxeric meadows (SMM) – Bi 2, Zy, Ha 1, ha 2, ha 3, MTha, ZHei, SBe, SoTr 2, Rü 1, Rü 2, Rü 3, Kö 3, UF 2, UF 3, UF 4, NG, NBG, SBG, TT 1, TT 2; grasslands contaminated by heavy metal (HMG) – Eck 1, Eck 2, Wi, Wo; draw shrub heaths (DSH) – FK 2, FK 3, KB, CH 1, Ha 6, Kö 1, Kö 2, UF 1; advanced succession sites (ASS) – SoGZ 1, SoGO 3, SoGU 4, SoVW 5, Ha 4.
Increasing stability of a native freshwater fish assemblage following flow rehabilitation
<p>Stream restorations are increasingly critical for managing and recovering freshwater biodiversity in human-dominated landscapes. However, few studies have quantified how rehabilitative actions promulgate through aquatic communities over decades. </p> <p>Here, a long-term dataset is analyzed for fish assemblage change, incorporating data pre- and post-restoration periods, and testing the extent to which native assemblage stability increased over time. In the late 1950s, a large capacity dam was installed on Putah Creek (Solano County, CA, USA) which altered the natural flow regime, channel structure, geomorphic processes, and overall ecological function. Notably, downstream flows were reduced (especially during summer months) resulting in an aquatic assemblage dominated by warmwater nonnative species, while endemic native species subsisted at low levels as subordinates. A court-mediated Accord was ratified in 2000 providing a more natural flow regime, specifically for native and anadromous fishes in the stream. Richness of nonnative species decreased at every site following the Accord, while richness of native species increased or stayed constant. At the three most upstream sites, native species richness increased over time and ultimately exceeded nonnative richness. Native assemblage recovery was strongest upriver, closer to flow releases and habitat restoration activities, and decreased longitudinally downstream. Rank-abundance curves through time revealed that while species evenness was low throughout the study, dominance shifted from nonnative to native species in the upstream sites coincident with rehabilitation efforts. Mean rank shifts decreased following flow rehabilitation; thus the assemblage became increasingly stable over time following flow rehabilitation. Putah Creek’s rehabilitation may represent a model for others interested in improving endemic freshwater communities in degraded ecosystems.</p>
Figure 5 in First data on water mite (Acari, Hydrachnidia) assemblages of Point Rosa Marsh, Harrison Township, Michigan, USA, and their use as environmental bioindicators of aquatic health
Figure 5 Frequency of water mite genera collected from habitats surrounding Point Rosa Marsh including Lake St. Clair. Comparable samples were collected on ten collection dates during 2017, 2018 and 2019. Graphs are arranged (left to right, and then by row) in the order of the overall frequency of each genus. Each bar graph shows the number of taxa collected on the six collection dates with bars color-coded to assist in comparing graphs on various dates. Dark blue (B) [Oct. 18 2017], red (A) [Oct. 20 2017 (1)], light green (B) [Oct. 20 2017], dark green (D&C) [Oct. 27 2017], black (A) [Aug. 7 2018], orange (A) [Aug. 21 2018], grey (D&C) [Aug. 31 2018], yellow (A) [Sept. 16 2019], light
Figure 4 in First data on water mite (Acari, Hydrachnidia) assemblages of Point Rosa Marsh, Harrison Township, Michigan, USA, and their use as environmental bioindicators of aquatic health
Figure 4 Frequency of water mite genera collected in Point Rosa Marsh. Comparable samples were collected on nine collection dates during 2017, 2018 and 2019. Graphs are arranged (left to right, and then by row) in the order of the overall frequency of each genus. Each bar graph shows the number of taxa collected on the six collection dates with bars color-coded to assist in comparing graphs on various dates. Dark blue (1&2) [Oct. 18 2017], red (4) [Oct. 19 2017], light green (3) [Oct. 18 2017 (2)], no data (1&2) [Aug. 7 2018], black (1&2) [Aug. 21 2018],
Fig. 8 in Planktonic foraminiferal assemblage in surface sediments from the Thukela Shelf, South Africa
Fig. 8. (A, D) Globigerinoides conglobatus (Brady, 1879), sample C; (B, C) G. conglobatus, sample 22; (E, F) Globigerinoides trilobus (Reuss, 1850), sample 22; (G, H) Globigerinoides sacculifer (Brady, 1877), sample 22; (I) G. sacculifer, sample 22.
Fig. 4 in Planktonic foraminiferal assemblage in surface sediments from the Thukela Shelf, South Africa
Fig. 4. (A–C) Globorotalia inflata (d'Orbigny, 1839), sample 26; (D, G) Neogloboquadrina incompta, sample 15; (E, H) N. dutertrei (d'Orbigny, 1839), sample 30; (F, I) N. dutertrei, a low trochospiral specimen with more umbilical aperture from sample 30.
Fig. 1 in Planktonic foraminiferal assemblage in surface sediments from the Thukela Shelf, South Africa
Fig. 1. (a) Locality map of the study area; (b) Focused map showing the regional setting of the Thukela Shelf within the KwaZulu-Natal Bight. (After Hunter 2007)
Fig. 3 in Planktonic foraminiferal assemblage in surface sediments from the Thukela Shelf, South Africa
Fig. 3. (A, D) Globorotalia cultrata (d'Orbigny, 1839), sample 25; (B, E) Globorotalia menardii (Parker, Jones & Brady, 1865), sample 30; (C, F) Globorotalia ungulata Bermúdez, 1961, sample 25; (G, H) Globorotalia tumida (Brady, 1877), sample 26; (I) Globorotalia ungulata Bermúdez, 1961, sample 30.
Fig. 9 in Planktonic foraminiferal assemblage in surface sediments from the Thukela Shelf, South Africa
Fig. 9. (A, B) Globigerinoides ruber (d'Orbigny, 1839), sample 22; (C) G. ruber, sample TB34; (D, E) G. ruber (aberrant form), sample 8; (F, G) Sphaeroidinella dehiscens (Parker & Jones, 1865), sample 30; (H) Orbulina universa (d'Orbigny, 1839), sample C.
Fig. 2 in Planktonic foraminiferal assemblage in surface sediments from the Thukela Shelf, South Africa
Fig. 2. Map showing the positions from which samples were collected on the Thukela Shelf. These were taken on the inner, mid and outer shelf, offshore of the Thukela River. Isobaths drawn at 5 m.
Fig. 6 in Planktonic foraminiferal assemblage in surface sediments from the Thukela Shelf, South Africa
Fig. 6. (A–C) Globigerina falconensis Blow, 1959, sample 30; (D–F) Globigerina rubescens Hofker, 1956, sample 25; (G–I) Globigerinella calida (Parker, 1962), sample 4.
Fig. 5 in Planktonic foraminiferal assemblage in surface sediments from the Thukela Shelf, South Africa
Fig. 5. (A, D) Pulleniatina obliquiloculata (Parker & Jones, 1865), sample 26; (B, E) Globigerinita glutinata (Egger, 1893), sample 26; (C, F) Globigerina quinqueloba Natland, 1938, sample 2; (G–I) Globigerina bulloides d'Orbigny, 1826, sample 6.
Fig. 3 in Functional feeding groups as a taxonomic surrogate for a grassland arthropod assemblage
Fig. 3. The relative abundance distribution Whittaker plots comparing families and functional feeding groups (FFG) (A), family to the Stochastic normal and Random fraction models (B) and FFG to the Stochastic normal and Random fraction models (C) for an arthropod community of grassland habitat in the Free State Province, South Africa.
Fig. 1 in Functional feeding groups as a taxonomic surrogate for a grassland arthropod assemblage
Fig. 1. The relationship between family and functional feeding group (FFG) richness (A), Shannon diversity (B) and Simpson diversity (C) of arthropods in a grassland habitat in the Free State Province, South Africa between April 2009 and March 2010. Text represents the results of an F-test associated with an ANCOVA analysis comparing FFG with the covariable family and the confounding factor of sampling month.
Fig. 2 in Functional feeding groups as a taxonomic surrogate for a grassland arthropod assemblage
Fig. 2. The observed (A) and smoothed through permutation (999 times, without replacement) (B) proportional accumulation curves for arthropod family (n=108) and functional feeding group (n=36) richness occurring in 360 (100 sweeps) samples of grassland habitat in the Free State Province, South Africa.
Differentiation of rhizosphere fungal assemblages by host ploidy level in mixed-ploidy Larrea tridentata populations
<p class="MsoNormal">Polyploidy—whole genome duplication—is common in plants. Studies over the last several decades have documented numerous mixed-ploidy populations. Whether arising via recurrent whole genome duplication events within a population, or from secondary contact, the persistence of mixed populations is possible by niche differentiation. Specifically, one mechanism facilitating ploidy co-occurrence is microbially-mediated niche differentiation (MMND), wherein cytotypes occupy different niches via interactions with different sets of microbes. Inherently cryptic, MMND is underexplored in polyploid plant populations. Here, we search for evidence of MMND in creosotebush (<em>Larrea tridentata</em>), a dominant desert shrub of the southwestern U.S. and northern Mexico. We sequenced root-associated fungal taxa in soil diploid, autotetraploid, and autohexaploid plants growing in two naturally-occurring mixed-cytotype populations. Within populations, we found substantial fungal assemblage overlap across host plant cytotypes. However, using indicator species analysis, we identified some fungi that are differentiated by host plant cytotype, satisfying a precondition for MMND. Future study is needed to determine the degree of niche differentiation conferred, if any, and whether the identified fungi play a role in the long-term persistence of multiple cytotypes within populations.</p>
Data from: Human presence and infrastructure impact wildlife nocturnality differently across an assemblage of mammalian species
<p>Wildlife species may shift towards more nocturnal behavior in areas of higher human influence, but it is unclear how consistent this shift might be. We investigated how humans impact large mammal diel activities in a heavily recreated protected area and an adjacent university-managed forest in southwest British Columbia, Canada. We used camera trap detections of humans and wildlife, along with data on land-use infrastructure (e.g., recreation trails and restricted-access roads), in Bayesian regression models to investigate impacts of human disturbance on wildlife nocturnality. We found moderate evidence that black bears (<em>Ursus americanus</em>) were more nocturnal in response to human detections (mean posterior estimate = 0.35, 90% credible interval = 0.04 to 0.65), but no other clear relationships between wildlife nocturnality and human detections. However, we found evidence that coyotes (<em>Canis latrans</em>) (estimates = 0.81, 95% CI = 0.46 to 1.17) were more nocturnal and snowshoe hares (<em>Lepus americanus</em>) (estimate = -0.87, 95% CI = -1.29 to -0.46) were less nocturnal in areas of higher trail density. We also found that coyotes (estimate = -0.87, 95% CI = -1.29 to -0.46) and cougars (<em>Puma concolor</em>) (estimate = -1.14, 90% CI = -2.16 to -0.12) were less nocturnal in areas of greater road density. Furthermore, coyotes, black-tailed deer (<em>Odocoileus hemionus</em>), and snowshoe hares were moderately more nocturnal in areas near urban-wildland boundaries (estimates and 90% CIs: coyote = -0.29, -0.55 to -0.04, black-tailed deer = -0.25, -0.45 to -0.04, snowshoe hare = -0.24, -0.46 to -0.01). Our findings imply anthropogenic landscape features may influence medium to large-sized mammal diel activities more than direct human presence. While increased nocturnality may be a promising mechanism for human-wildlife coexistence, shifts in temporal activity can also have negative repercussions for wildlife, warranting further research into the causes and consequences of wildlife responses to increasingly human-dominated landscapes.</p>
FIG. 5 in Non-pollen palynomorph and palynofacies assemblages from the Lower Cretaceous of Iraq: A glimpse into palaeobiology and palaeoenvironment
FIG. 5. — Arthropod cuticles: A, an overview of a large fragment of arthropod cuticle, 09-262-1_R29; B, detail of A showing a serrate seta, 09-262-1_R29; C, isolated seta (?), 09-262-1_R29; D, detail of A showing empty sockets in which setae and maybe other cuticular appendages were articulated, 09-262-1_R29; E, detail of A showing empty socket and fragmentary cuticular appendage in situ, 09-262-1_R29; F, isolated serrate seta, 09-262-3_L52; G, unidentifiable fragment of an isolated arthropod appendage (?), 09-255-2_H52; H, unidentifiable fragment of an isolated arthropod appendage (?), 09-255-2_L50; I, unidentifiable fragment of an isolated arthropod appendage (?), 09-234-3_L45; J, unidentifiable fragment of an isolated arthropod or insect appendage (?), 09-262-3_R47; K, scolecodont or insect mouthpart, 09-262-1_S53. Scale bars: 20 μm.
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.