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FIGURE 6 in Taphonomy of an Eocene micromammal assemblage in a lake-margin depositional setting elucidates an ancient food web
FIGURE 6. Scanning electron micrographs of teeth and bones of Herpetotheriidae from bed TB33, How Ledge Limestone, SW Headon Hill, showing damage. A, right M3 (M67688) of Amphiperatherium species B, in etching group 1; B, enlarged detail of A; C, right M2 (M67689) of Amphiperatherium species A, in etching group 2; D, left M4 (M67690) of Amphiperatherium species A, in etching group 4; E, right calcaneum (M67691) of Herpetotheriidae, showing etching on the sustentaculum edge and tuber tip; F, left upper incisor (M67680) of Herpetotheriidae, showing two puncture marks on its root; G, enlarged detail of F. Arrows highlight areas of maximum etching on C-E. Scale bars equal 0.3 mm for A, C-E, 0.1 mm for B, G.
FIGURE 4 in Taphonomy of an Eocene micromammal assemblage in a lake-margin depositional setting elucidates an ancient food web
FIGURE 4. Scanning electron micrographs of teeth and bones of Theridomyidae and teeth of Pseudosciuridae, from bed TB33, How Ledge Limestone, SW Headon Hill, showing damage. A-C, Thalerimys fordi; D-F,?Thalerimys; G, Treposciurus mutabilis; H-I, Tarnomys quercyi vectisensis. A, Right M1/2 (M67681) in etching group 2; B, left M1/2 (M67682) in etching group 3; C, right M1/2 (M67683) in etching group 4; D, proximal radius (M61425), showing etching on the epiphysis and parallel grooves perpendicular to the long axis; E, proximal metapodial (M61438) with multiple fine parallel grooves perpendicular to the long axis on both edges; F, enlarged detail of E; G, left M1/2 (M61749) in etching group 2; H, right M1/2 (M61753) in etching group 2; I, right M3 (M61754) in etching group 4. Arrows highlight areas of maximum etching on A-C, G-I. Scale equals 0.5 mm for A-D, F-I, 1 mm for E.
FIGURE 5 in Taphonomy of an Eocene micromammal assemblage in a lake-margin depositional setting elucidates an ancient food web
FIGURE 5. Scanning electron micrographs of teeth and bones of Gliridae from bed TB33, How Ledge Limestone, SW Headon Hill, showing damage. A, right M (M67699) of Bransatoglis bahloi in etching group 5 (arrows); B-C, right P4 3 (M67684) of Glamys priscus, showing very fine irregular grooves on the root (B is enlarged detail); D, left lower incisor (M67685) of Gliridae, showing splitting from weathering stage 1; E, proximal phalanx 1 (M67686) of Gliridae, showing rounded breakage and grooves perpendicular to the long axis (arrows); F, proximal metatarsal III (M67687) of Gliridae, showing spiral rounded fracture; G, proximal left femur (M61428) of Gliridae, showing etching (arrows) and spiral breakage without rounding. Scale bars equal 0.2 mm for A, C-E, 0.5 mm for F-G, 0.1 mm for B.
FIGURE 2 in Taphonomy of an Eocene micromammal assemblage in a lake-margin depositional setting elucidates an ancient food web
FIGURE 2. Percentages of the minimum numbers of individuals (MNI) of each family of micromammals from bed TB33, How Ledge Limestone, SW Headon Hill. See Table 1 for numerical data.
FIGURE 11 in Taphonomy of an Eocene micromammal assemblage in a lake-margin depositional setting elucidates an ancient food web
FIGURE 11. Scanning electron micrographs of teeth of the pantolestid Cryptopithecus major (A-B) and tooth and bones of the carnivoran Paramiacis sp. (C-F) from bed TB33, How Ledge Limestone, SW Headon Hill, showing damage. A, left DP4 (M61688) in etching group 5, arrows indicating the only islets of enamel left on the crown; B, lower right premolar (M62331) in etching group 5, devoid of all enamel, the dentine core also penetrated by etching; C, left M2 (M67697) in etching group 2, broken with fracture edges rounded; D, phalanx 2 shaft (M67697), showing distal etching and rounded proximal fracture edge (arrowed); E-F, phalanx 1 (M67697) broken into a distal articulatory part (E) and the shaft and proximal articulation (F), with rounded fracture edges (arrowed), but closely fitting broken surfaces. Scale bars equal 0.5 mm for A-B, 0.3 mm for C-D and 1 mm for E-F.
FIGURE 1 in Taphonomy of an Eocene micromammal assemblage in a lake-margin depositional setting elucidates an ancient food web
FIGURE 1. Geological context of the site studied. A, General field photograph of the upper part of the Totland Bay Member, including the How Ledge Limestone, and overlying Colwell Bay Member, SW Headon Hill, Isle of Wight. B; detailed photograph of bed TB30-34, with scale divisions measuring 10 cm; C, location map of coastal Hampshire and the western half of the Isle of Wight, with period level geology and sites mentioned in the text; D, Lithic log of the How Ledge Limestone and adjacent beds. Bed numbers are from Hooker (2021).
FIGURE 3 in Taphonomy of an Eocene micromammal assemblage in a lake-margin depositional setting elucidates an ancient food web
FIGURE 3. Percentages of etched bones and teeth (left Y axis and left two X axis plots) and breakage types of elongate bones (right Y axis and right three X axis plots) for the four best represented micromammalian families in bed TB33, How Ledge Limestone. Fresh bones are those broken while still fresh, showing irregular spiral breakage. Rounded indicates bones with rounded (etched) broken edges. Dry indicates bones with broken edges perpendicular to their long axes. See Tables 5-7 for numerical data.
FIGURE 8 in Taphonomy of an Eocene micromammal assemblage in a lake-margin depositional setting elucidates an ancient food web
FIGURE 8. Percentages of teeth of the theridomyid Thalerimys fordi and the three other best represented families in each etching group (Vasileiadou et al., 2007a), numbered on X axes, from bed TB33, How Ledge Limestone, and bed O3, Osborne Member. The teeth of T. fordi and Gliridae are restricted to the cheek teeth. N = total number of etched teeth in each taxon for each bed.
FIGURE 13 in Taphonomy of an Eocene micromammal assemblage in a lake-margin depositional setting elucidates an ancient food web
FIGURE 13. Trophic relationships between predators and prey derived from damage patterns of bones and teeth of the best represented micromammals in bed TB33, How Ledge Limestone, SW Headon Hill. The two hypothetical owls and the crocodilian are drawn at smaller scales than the rest.
Scripts and data for: Integrating different facets of diversity into food web models: how adaptation among and within functional groups shape ecosystem functioning
<p>Adaptation of communities to environmental fluctuations can emerge from different facets of biodiversity, which may impact ecosystem functioning differently. Previous work examined how ecosystem functions can be influenced by two sources of adaptive potential: sorting (i.e., changes in community composition due to fitness differences) can occur when multiple species or groups are present (richness), and trait adaptability (i.e., trait adjustments within species or functional groups) can emerge from genetic or phenotypic diversity. However, their effect is typically studied separately, and often in the context of only one trophic level. Therefore, we used a bitrophic trait-based model varying in richness and in the presence of trait adaptability at each trophic level, to investigate how sorting and trait adaptability, at one or two trophic levels, separately or jointly shape ecosystem functions. We found that the adaptive potential emerging from any facet of diversity-induced changes in trophic interactions, in turn, affects biomass distributions within and across trophic levels, dynamical behaviour, and synchrony of biomass dynamics within a trophic level. Particularly, sorting and trait adaptability could contribute to a similar degree and at a similar time to temporal changes in ecosystem functions, but their respective contribution depended on the speed of trait adaptation, the trait range between similar functional groups, and trophic interactions. We thus suggest to consider multiple facets of diversity and their corresponding sources of adaptive potential to deepen our mechanistic understanding of ecosystem functioning, especially in a context of rapid biodiversity change.</p>
Pyricularia MAX effectors Web Site Archive
<p><span>Collection of validated MAX AlphaFold models</span></p>
F I G U R E 3 A in Fish as predators and prey: DNA-based assessment of their role in food webs
F I G U R E 3 A range of factors affect the fate of food DNA in dietary samples and influence the interpretation of molecularly derived trophic data. These factors can be grouped into methodological, biological and environmental aspects
F I G U R E 2 in Fish as predators and prey: DNA-based assessment of their role in food webs
F I G U R E 2 Schematic overview of different types of primers: species-specific (red), group-specific (green), general (blue) and blocking (yellow) primers in a hypothetical food chain and corresponding DNA sequences of involved taxa. Dots in the sequence alignment denote identical bases as in the topmost sequence
F I G U R E 1 in Fish as predators and prey: DNA-based assessment of their role in food webs
F I G U R E 1 Schematic overview of the workflow when analysing dietary samples molecularly: sample collection (gut content, regurgitate, faeces), extraction of total DNA, identification of food DNA via diagnostic PCR and/or metabarcoding, respectively
Fig. 2 in A closer look at the main actors of Neotropical floodplain food webs: functional classification and niche overlap of dominant benthic invertebrates in a floodplain lake of Paraná River
Fig. 2. Cluster plot depicting trophic similarity (Morisita index) among species of dominant benthic invertebrates in a floodplain lake of ParanÁ River, Argentina. Dotted line depicts the threshold similarity of 0.6.
Fig. 3 in A closer look at the main actors of Neotropical floodplain food webs: functional classification and niche overlap of dominant benthic invertebrates in a floodplain lake of Paraná River
Fig. 3. Non Metric Multidimensional scaling plot. Circles depicts taxa classified as gatherer collectors (Aulodrilus pigueti, Pristina leidyi, Dero vagus, Nais communis, Pelomus sp., Cladopelma sp., Endotribelos sp., Polypedilum sp., Chironomus sp., Parachironomus sp., Phaenopsectra sp., Americabaetis sp., Baetis sp., Campsurus violaceus, Hyalella curvispina, Crynellus sp.) [Triangles: Tanypodinae (Coelotanypus sp., Procladius sp. and Ablabesmyia (Karelia); inverted triangle: Sympetrum sp.; square: Monopelopia sp.; cross: Pomacea canaliculata].
Fig. 1 in A closer look at the main actors of Neotropical floodplain food webs: functional classification and niche overlap of dominant benthic invertebrates in a floodplain lake of Paraná River
Fig. 1. Relative importance (IRI) of food items for analyzed taxa of dominant benthic invertebrates in a floodplain lake of ParanÁ River, Argentina (parenthesis indicate sample size).
Data for: Landscape diversity promotes stable food web architectures in large rivers
<p>Uncovering relationships between landscape diversity and species interactions is crucial for predicting how ongoing land-use change and homogenization will impact the stability and persistence of communities. However, such connections have rarely been quantified in nature. We coupled high-resolution river sonar imaging with annualized energetic food webs to quantify relationships between habitat diversity, energy flux, and trophic interaction strengths in large-river food web modules that support the endangered Pallid Sturgeon. Our results demonstrate a clear relationship between habitat diversity and species interaction strengths, with more diverse foraging landscapes containing higher production of prey and a greater proportion of weak and potentially stabilizing interactions. Additionally, rare patches of large and relatively stable river sediments intensified these effects and further reduced interaction strengths by increasing prey diversity. Our findings highlight the importance of landscape characteristics in promoting stabilizing food-web architectures and provide direct relevance for future management of imperiled species in a simplified and rapidly changing world.</p>
SemTab 2024: Semantic Web Challenge on Tabular Data to Knowledge Graph Matching Data Sets - WikidataTables2024R1 and WikidataTables2024R2
<p>Data Sets from the ISWC 2024 Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, Round 1, Wikidata Tables. Links to other datasets can be found on the challenge website: https://sem-tab-challenge.github.io/2024/ as well as the proceedings of the challenge published on CEUR.</p> <p>For details about the challenge, see: http://www.cs.ox.ac.uk/isg/challenges/sem-tab/</p> <p>For 2024 edition, see: https://sem-tab-challenge.github.io/2024/</p> <p>Note on License: This data includes data from the following sources. Refer to each source for license details:<br>- Wikidata https://www.wikidata.org/</p> <p>THIS DATA IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.</p>
Web browser useragent and activity tracking data
<p>600 000 000 web traffic records normalized into MySQL tables using TokuDB storage, complete with original web server response codes. Suitable for browser data and trend analysis as well as AI training of exploit and bot detection algorithms. The data had been collected from multiple Apache 2.x web servers across 8000+ domain names with special care for GDPR compliance.</p> <p> </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.