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3,121 results for “Resources”
Indexing and searching petabase-scale nucleotide resources
<p><strong><span>Searching vast and rapidly growing nucleotide content in resources, such as runs in Sequence Read Archive and assemblies for whole genome shotgun sequencing projects in GenBank, is currently impractical for most researchers. We present Pebblescout, a tool that navigates such content by providing indexing and search capabilities. Indexing uses dense sampling of the sequences in the resource. Search finds subjects (runs or assemblies) that have short sequence matches to a user query, with well-defined guarantees, and ranks them using informativeness of the matches. Eight databases that index over 3.7 petabases were created to illustrate the functionality of Pebblescout. They can be interactively searched at https://pebblescout.ncbi.nlm.nih.gov. Here we show that for a wide range of query lengths, Pebblescout provides a data-driven way for finding relevant subsets of large nucleotide resources; reducing the resources needed for downstream analysis significantly. We compare Pebblescout to MetaGraph and Sourmash and show that both methods do not report some results correctly reported by Pebblescout.</span></strong></p>
Figure 2 in Resource use and coexistence of three hylid species in temporary ponds of an Eastern Amazonian forest fragment
Figure 2. (a) Height of perches used by the three hylid species; (b) Depth of ponds used by Dendropsophus minutus (Dmin), D. melanargyreus (Dmel) and Scinax cf. ruber (Srub) in Gunma Ecological Park, Santa Barbará municipality, Pará State, Brazil. The middle line represents median, the lower and upper bounds of the box plots represent the first and third quartiles, respectively, and whiskers show the minimum and maximum values.
FIGURE 14 in Electivities And Resource Use By An Assemblage Of Lizards Endemic To The Dunes Of The São Francisco River, Northeastern Brazil P L.B. R M T. R Abstract
FIGURE 14. Scatterplot of the mass of the heaviest item (MH) in the stomach (in logarithm scale) versus head width (HW) (left) and jaw length (JL) (right) for the seven most abundant lizard species in the Ibiraba dunes, State of Bahia, Brazil. Vertical bars in the legend represent homogeneous groups of mass based on Dunn's multiple comparison test.
FIGURE 4 in Electivities And Resource Use By An Assemblage Of Lizards Endemic To The Dunes Of The São Francisco River, Northeastern Brazil P L.B. R M T. R Abstract
FIGURE 4. Climatological data from the town of Barra, State of Bahia, Brazil, during the study period compared to complete historical series of rainfall data from four locations in the vicinity. Top: monthly rainfall and mean temperatures from January 2000 to March 2001 as recorded at the Barra meteorological station. Values over bars are the monthly rainfall values. Bottom: monthly rainfall (records ranked in inverse order by month) recorded by the National Institute of Meteorology (INMET) at: (A) Station Ponte BR-242, Bahia (1972-1999); (B) Station Fazenda Cabaceiras, Ibipeba, Bahia (1972-1999); (C) Station Gameleira da Lapa, Sítio do Mato, Bahia (1962-1999); (D) Station Morpara, Bahia (1945-1999). Values over bars are mean monthly rainfall values.
FIGURE 6 in Electivities And Resource Use By An Assemblage Of Lizards Endemic To The Dunes Of The São Francisco River, Northeastern Brazil P L.B. R M T. R Abstract
FIGURE 6. Distributions of sizes in gymnophthalmid (based on mass) in four field campaigns conducted in the dunes of Ibiraba, State of Bahia, Brazil.
FIGURE 9 in Electivities And Resource Use By An Assemblage Of Lizards Endemic To The Dunes Of The São Francisco River, Northeastern Brazil P L.B. R M T. R Abstract
FIGURE 9. Synthesis of the ordination analysis of microhabitat variables and microhabitat electivity among the seven most abundant lizard species endemic to the Ibiraba dunes, State of Bahia, Brazil. Profile of the dunes (top) represents the variables highly correlated in factor 1 and 2. Identical symbols represent positive correlation. Lizard drawings (below) represent significant (**) and marginally significant (*) positive electivity (white), and negative electivity (black) of each species for microhabitat variables.
FIG. 2 in State of the Amphibia 2020: A Review of Five Years of Amphibian Research and Existing Resources
FIG. 2. The number of species in each order threatened by different drivers of amphibian decline, where each species can be represented by multiple drivers. IUCN conservation status categories are: extinct or extinct in the wild (EX/EW), critically endangered (CR), endangered (EN), vulnerable (VU), near threatened (NT), least concern (LC), and data deficient (DD). Of species with accounts on AmphibiaWeb, 53.3% (1,261 of 2,364 species) have data on at least one factor driving their decline.
FIG. 5 in State of the Amphibia 2020: A Review of Five Years of Amphibian Research and Existing Resources
FIG. 5. Phylogenetic heat map showing the number and proportion of species within each family that were described in 2016–2020 and the proportion of species within each family that have accessible phenotypic, genetic, and disease data. Lighter to darker colored matrix cells represent lower to higher specieslevel representation for each family and white cells indicate that no species from the corresponding family have those data types available. From left to right in the matrix: 1) the proportion of new species added in 2016–2020, 2) the proportion of species with call data available in one of the seven databases listed in Table 1, 3) the proportion of species with microCT data available on MorphoSource or Phenome10K, 4) the proportion of species with sequenced genomes, 5) the proportion of species with sequences in NCBI GenBank, 6) the proportion of species with sequences in the NCBI Sequence Read Archive, 7) the proportion of species in the Amphibian Disease Portal that have been tested for Bd, 8) the proportion of species in that have positive tests for Bd documented in the Amphibian Disease Portal. Data used to generate this figure can be found in Table S5 (see Data Accessibility).
FIG. 9 in State of the Amphibia 2020: A Review of Five Years of Amphibian Research and Existing Resources
FIG. 9. Samples of BatraChOChytriUM dendrObatidiS in the Amphibian Disease Portal. (A) A log-scale histogram of Bd swab counts, binned by the five-year time span in which the amphibian swabbed was captured. (B) A stacked histogram showing the proportional representation of swabs taken from different continents, binned by the same five-year blocks. Bsal data archived in the portal only includes sample data in the US (Waddle et al., 2020) and from the Bsal Consortium Germany (Vences and Lötters, 2020).
Audiovisual multisensory Kappa and reverse Kappa effect: Cognitive resource hypothesis
Open the record for dataset details and reuse information.
Sociodemographic, Psychosocial and Psychopathological data of the "Psychosocial resources and psychopathology among persons with neuromuscular disorders during the COVID-19 pandemic" study
<p>First sheet: dataset</p> <p>Second sheet: variables' description</p>
Figure 1 in Taxonomic diversity, niche width and similarity in the use of plant resources by bees (Hymenoptera: Anthophila) in a cerrado area
Figure 1. Location of the Vassununga State Park – Cerrado Pé-de-Gigante. The grey lines represent the transects used to sample the bee fauna.
FIG. 4. A in Resource defence mating system in two ¯ies from Sulawesi: Gymnonerius fuscus Wiedemann and Telostylinus sp. near duplicatus Wiedemann (Diptera: Neriidae)
FIG. 4. A stilt-®ght between Telostylinus males. This records a pause in the action, during which the combatants' faces are no longer pressed against one another.
Figure 8 in Recycling resources: silica of diatom frustules as a source for spicule building in Antarctic siliceous demosponges
Figure 8. Schematic summary of our hypothesized recycling route for the reutilization of diatom silica by sponge amoebocytes compared to the standard silicon uptake and production of siliceous spicules by the sclerocytes of demosponges.
Figure 3 in Recycling resources: silica of diatom frustules as a source for spicule building in Antarctic siliceous demosponges
Figure 3. Signs of silica dissolution in diatom frustules and valves. A–B, diatoms in the tissue of M. tridens. C, Podosira sp. valve in P. areolatus. D, Navicula sp. valve within He. pilosus. Arrows: evidence of silica dissolution or degradation in diatoms.
Figure 2. Diatoms within sponge tissues. A in Recycling resources: silica of diatom frustules as a source for spicule building in Antarctic siliceous demosponges
Figure 2. Diatoms within sponge tissues. A, diatom in the mesohyl of P. areolatus. B, diatom in the mesohyl of I. kerguelenensis. C, diatom in the mesohyl of Ha. penicillata. D, diatom in the mesohyl of K. variolosa. Abbreviations: b, bacteria; co, collagen; di, diatom; spc, sponge cell.
Figure 1 in Recycling resources: silica of diatom frustules as a source for spicule building in Antarctic siliceous demosponges
Figure 1. Free-living diatoms of Deception Island. A, external frustule of Porosira sp. B, external valve view of Fragilariopsis sp. C, internal view of Porosira sp. valve. D, external valve of Navicula sp. E, two frustules of Chaetoceros sp. Note the fused setae linking the cells. F, external view of Fragilariopsis sp.
ECOBREED WP5 T5.1 Phenotypic data of buckwheat genetic resources
<p>Phenotypic evaluation of the ECOBREED WP5 buckwheat collection in Austria (2019-2021), Czech Republic (2019-2021), Slovenia (2019-2021) and USA (2020-2021). Field data and quality analyses are available in separate files for the individual countries of testing; data from the individual years are in separate sheets within each file.</p>
A Method of Water Resources Accounting Based on Deep Clustering and Attention Mechanism under the Background of Integration of Public Health Data and Environmental Economy
<p>A dataset and code for paper</p>
Fig. 5 in Characterization of phytochemicals in the roots of wild herbaceous peonies from China and screening for medicinal resources
Fig. 5. Variations in the five metabolite categories between the four groups (mean ± SD). Different letters above error bars indicate significant differences (p <0.05).
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.