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Speed profiles of freeways in California (I5-S and I210-E)
<p>Speed profiles of freeways in California (I5-S and I210-E). Original data is retrieved from PeMS.</p> <p>Each YEAR_FREEWAY.csv file contains Timestamp and Speed data.</p> <p>freeway_meta.csv file contains meta information for each detector: freeway number, direction, detector ID, absolute milepost, and x y coordinates.</p> <p>Please refer the readme file.</p> <p> </p> <p> </p> <p> </p> <p> </p>
Text-fig. 8. Za Hájovnou Cave. Section ZH P-7a (Chodba naděje (= Corrridor of Hope), front longitudinal profile). in The Unique Record Of Za Hájovnou Cave
Text-fig. 8. Za Hájovnou Cave. Section ZH P-7a (Chodba naděje (= Corrridor of Hope), front longitudinal profile).
Text-fig. 6b. Z-score profile for Moča skull. Comparison of Moča skull indices with LUP and recent sample, –1.96 and +1.96: 95% tolerance interval (95% of the LUP and recent variability), 0: LUP and recent sample mean, grey band: 95% confidence interval of mean z-scores. Only those samples having more than n = 5 in the particular group are included. in A Late Upper Palaeolithic Skull From Moča (The Slovak Republic) In The Context Of Central Europe
Text-fig. 6b. Z-score profile for Moča skull. Comparison of Moča skull indices with LUP and recent sample, –1.96 and +1.96: 95% tolerance interval (95% of the LUP and recent variability), 0: LUP and recent sample mean, grey band: 95% confidence interval of mean z-scores. Only those samples having more than n = 5 in the particular group are included.
Text-fig. 6a. Z-score profile for Moča skull. Comparison of Moča skull measurements with LUP and recent sample, –1.96 and +1.96: 95% tolerance interval (95% of the LUP and recent variability), 0: LUP and recent sample mean, gray band: 95% confidence interval of mean z-scores. Only those samples having more than n = 5 in the particular group are included. in A Late Upper Palaeolithic Skull From Moča (The Slovak Republic) In The Context Of Central Europe
Text-fig. 6a. Z-score profile for Moča skull. Comparison of Moča skull measurements with LUP and recent sample, –1.96 and +1.96: 95% tolerance interval (95% of the LUP and recent variability), 0: LUP and recent sample mean, gray band: 95% confidence interval of mean z-scores. Only those samples having more than n = 5 in the particular group are included.
Text-fig. 5. Profiles of the Konin region with the backgroundstratigraphy of the upper part of the Neogene in the Polish Lowlands. in Micropalaeontological Taphocoenoses Of The Miocene Poznań Formation (Konin Area, Central Poland)
Text-fig. 5. Profiles of the Konin region with the backgroundstratigraphy of the upper part of the Neogene in the Polish Lowlands.
Text-fig. 8. Eospondylus cf. primigenius (STÜRTZ) "Červený lom" quarry near Praha-Klukovice, Loděnice Limestone, Lower Devonian, Pragian, NM L 36910, x 25. Left lateral plate, outer view. The surface leading to the vertical ridge flairs outward. The height profile leaves uncovered part of the side of the arm vertebra. in Isolated Ossicles Of The Family Eospondylidae Spencer Wright, 1966, In The Lower Devonian Of Bohemia (Czech Republic) And Correction Of The Systematic Position Of Eospondylid Brittlestars (Echinodermata: Ophiuroidea: Oegophiurida)
Text-fig. 8. Eospondylus cf. primigenius (STÜRTZ) "Červený lom" quarry near Praha-Klukovice, Loděnice Limestone, Lower Devonian, Pragian, NM L 36910, x 25. Left lateral plate, outer view. The surface leading to the vertical ridge flairs outward. The height profile leaves uncovered part of the side of the arm vertebra.
Figure 4 in Identification of thyroid hormone receptors α and β genes and their expression profiles during metamorphosis in Rana chensinensis*
Figure 4. The levels of rcTRα and rcTRβ mRNA in several (n = 6) tadpoles as assessed by qRT-PCR. Different letters indicate significant differences (P <0.05) between developmental stages.
Figure 2 in Identification of thyroid hormone receptors α and β genes and their expression profiles during metamorphosis in Rana chensinensis*
Figure 2. Phylogenetic relationship of TRs among R. chensinensis and other species. Numbers at the branches are the bootstrap values.
Figure 3 in Identification of thyroid hormone receptors α and β genes and their expression profiles during metamorphosis in Rana chensinensis*
Figure 3. Organ-specific expression of rcTRα and rcTRβ in tadpoles during stages 33–46 by RT-PCR. M: DL2000 DNA marker.
Figure 1 in Identification of thyroid hormone receptors α and β genes and their expression profiles during metamorphosis in Rana chensinensis*
Figure 1. Alignment of TR polypeptide sequences in a few species of Rana. The A/B, DBD, D, and LBD domains are separated by arrows. Two conserved zinc fingers are boxed. Asterisks indicate conserved amino acid and hyphens represent spaces inserted to maximized similarity.
Fig. 2 in Genetic and chemical profiling of Solenopsis spp. (Hymenoptera: Formicidae) intercepted in Hawaii
Fig. 2. The Gas Chromatography-Mass Spectrometry (GC-MS), total ion chro- matogram (TIC) of a methanol extract of a gaster from a single ant intercepted in 2019 at a port in Hawaii. The reported major venom alkaloids from Solenopsis geminata and Solenopsis xyloni are cis-2-methyl-6-undecyl-piperidine (peak 1) and trans-2-methyl-6-undecyl-piperidine (peak 3). This intercepted Solenopsis geminata worker has 2-methyl-6-undecyl-pyridine (peak 2) as its major component. The areas under peaks 1, 2, and 3 are proportional to their quantity. This is expressed on the graph as the percent composition of the 3 identified peaks. This is the first time that the pyridine (peak 2) has been reported as a major venom component of Solenopsis geminata. Components 1 and 3 have been identified in previous literature.
Fig. 1 in Genetic and chemical profiling of Solenopsis spp. (Hymenoptera: Formicidae) intercepted in Hawaii
Fig. 1. Unrooted neighbor-joining tree constructed using the matrix of absolute numbers of pairwise differences among 55 mitochondrial COX1 haplotypes from 6 Solenopsis species: S. geminata, S. xyloni, S. amblychila, S. aurea, S. invicta, and S. saevissima. All positions containing gaps and missing data were eliminated. Bootstrap values greater than 70% are located below or above nodes. The scale bar distance is shown at the top right corner of the tree indicating number of nucleotide differences. Each sequence was identified by their GenBank number and species name, except for the Oahu sample (GenBank OK071254) marked as Oahu 2018* and the haplotype from the 2019 samples (GenBank OK071253) labelled Ltu19_03**.
Fig. 4 in Giardia duodenalis in a clinically healthy population of captive zoo chimpanzees: Rapid antigen testing, diagnostic real-time PCR and faecal microbiota profiling
Fig. 4. | Faecal bacterial community profile of captive chimpanzees infected with Giardia duodenalis detected by rapid antigen test. (A) Relative abundance of colour coded bacterial phyla separated based on presence (+) or absence (‒) of Giardia using rapid antigen test (RAT). The sample identity is located at the bottom of the graph with two labels (C20, C3) shaded indicating samples that were found as Giardia positive by real-time PCR. (B) Alpha diversity based on observed OTU and Shannon's index plotted as box plot and evaluated using t-tests. (C) Principal coordinates analysis (PCoA) 2D plot using first two principal components from Bray-Curtis dissimilarity matrix at the genus taxonomic levels. The clustering between Giardia positive (RAT+) and negative (RAT-) samples was tested using ANOSIM. (D) Linear discriminant analysis effect size (LEfSe) used plot of significant factors discriminating G. duodenalis positive from negative sample. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Giardia duodenalis in a clinically healthy population of captive zoo chimpanzees: Rapid antigen testing, diagnostic real-time PCR and faecal microbiota profiling
Fig. 3. | Faecal bacterial community profile of captive chimpanzees infected with Giardia duodenalis as detected by rapid antigen test and real-time PCR combined. (A) Relative abundance of colour coded bacterial phyla separated based on presence (+) or absence (‒) of Giardia. The sample identity is located at the bottom of the graph. (B) Alpha diversity based on observed OTU and Shannon's index plotted as box plot and evaluated using t-tests. (C) Principal coordinates analysis (PCoA) 2D plot using first two principal components from Bray-Curtis dissimilarity matrix at the genus taxonomic levels. The clustering between Giardia positive (+) and negative (‒) samples was tested using ANOSIM. (D) Linear discriminant analysis effect size (LEfSe) used plot of significant factors discriminating G. duodenalis positive from negative sample. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Giardia duodenalis in a clinically healthy population of captive zoo chimpanzees: Rapid antigen testing, diagnostic real-time PCR and faecal microbiota profiling
Fig. 2. | Results of Giardia duodenalis rapid antigen test applied on faecal samples from chimpanzees. A positive result for the Giardia duodenalis rapid antigen test (RAT, Anigen Rapid Giardia AG Test Kit) is represented by the line in the 'T' position in the window along with the positive control line in the 'C' position.
Fig. 1 in Giardia duodenalis in a clinically healthy population of captive zoo chimpanzees: Rapid antigen testing, diagnostic real-time PCR and faecal microbiota profiling
Fig. 1. Captive chimpanzees and their enclosure in Sydney, Australia. (A) Main chimpanzee open air exhibit with multiple climbing structures. (B) View from the other direction showing entry to the indoor area at the end of the exhibit. (C) smaller exhibit with mesh covering and more climbing and sleeping structures. (D) Members of the chimpanzee troop at the Taronga Zoo.
The mOTUs online database provides web-accessible genomic context to taxonomic profiling of microbial communities - Supplementary Tables
<p><strong>Supplementary Table 1:</strong></p> <p>A map between each of the genomes in mOTUs-db (3’747’151), the associated study and its metagenomic sample (in case of MAGs).</p> <p>Columns:</p> <p><code> GENOME → Unique mOTUs-db name of the genome</code><br><code> STUDY → Unique mOTUs-db name of the study</code><br><code> IS_MAG → True if genome is a MAG, otherwise False </code><br><code> METAGENOMIC_SAMPLE → Unique name of the metagenomic sample or NA in case of non-MAG genome</code></p> <p>Example:</p> <p><code> GENOME STUDY IS_MAG METAGENOMIC_SAMPLE</code><br><code> ---------------------------------------------------------------------------------------------</code><br><code> ACIN21-1_SAMN05421555_MAG_00000001 ACIN21-1 True ACIN21-1_SAMN05421555_METAG</code><br><code> RSGB23-1_GCA-006096615-V1_GENO_10000001 RSGB23-1 False NA</code></p> <p><strong>Supplementary Table 2:</strong></p> <p>A map between all non-MAG genomes (919’090) and their source (e.g. Refseq or JGI).</p> <p>Columns:</p> <p><code> GENOME → Unique mOTUs-db name of the genome</code><br><code> SOURCE_SAMPLE_LINK → Link to the original location of this genome</code></p> <p>Example:</p> <p><code> #GENOME SOURCE_SAMPLE_LINK</code><br><code> --------------------------------------------------------------------------------------------------------</code><br><code> JGIG23-1_GA0055041_GENO_10000001 https://gold.jgi.doe.gov/analysis_project?id=Ga0055041</code><br><code> RSGB23-1_GCA-006717865-V1_GENO_10000001 https://www.ncbi.nlm.nih.gov/datasets/genome/GCA_006717865.1</code></p> <p><strong>Supplementary Table 3:</strong></p> <p>A list of all metagenomic studies processed for the mOTUs-db, their number of samples, the number of reconstructed MAGs and the associated publication.</p> <p>Columns:</p> <p><code> STUDY --> Unique mOTUs-db study identifier</code><br><code> BIOPROJECT --> Public identifier (NCBI/JGI) of metagenomic sequencing project</code><br><code> SAMPLES --> Number of metagenomic samples</code><br><code> MAGs --> Number of reconstructed MAGs</code><br><code> PUBLICATION --> Link to publication</code></p> <p>Example:</p> <p><code> STUDY BIOPROJECT SAMPLES MAGs PUBLICATION</code><br><code> -------------------------------------------------------------------------------------------------</code><br><code> ACIN21-1 PRJEB44456 58 1,110 https://www.nature.com/articles/s42003-021-02112-2</code></p> <p><strong>Supplementary Table 4:</strong></p> <p>Mapping between mOTUs-db sample identifier, the associated biosample and the environment.</p> <p>Columns:</p> <p><code> SAMPLE --> Unique mOTUS-db sample identifier</code><br><code> BIOSAMPLE --> Public identifier (NCBI/JGI) of metagenomic sample</code><br><code> STUDY --> Unique mOTUs-db study identifier</code><br><code> ENVIRONMENT --> Environment of metagenomic sample</code><br><code> SOURCE_SAMPLE_LINK --> Link to the original location of this sample</code></p> <p>Example:</p> <p><code> #SAMPLE BIOSAMPLE STUDY ENVIRONMENT SOURCE_SAMPLE_LINK</code><br><code> ---------------------------------------------------------------------------------------------------------------------</code><br><code> ACIN21-1_SAMN05421555_METAG SAMN05421555 ACIN21-1 marine https://www.ncbi.nlm.nih.gov/biosample/SAMN05421555/</code></p> <p><strong>Supplementary Table 5:</strong></p> <p>A list of environments covered in the mOTUs-db mapped to the respective NCBI taxonomy (if possible)</p> <p>Columns:</p> <p><code> TERM --> Unique environment name</code><br><code> NCBI TAXONOMY ID --> Link to the NCBI taxonomy</code></p> <p>Example:</p> <p><code> TERM NCBI TAXONOMY ID</code><br><code> ----------------------------------------------</code><br><code> activated sludge metagenome NCBI:txid942017</code><br><code> air metagenome NCBI:txid655179</code></p>
FIGURE 1 in Cytogenetic profiles of two circumglobal snake mackerel species (Scombriformes: Gempylidae) from deep waters of the São Pedro and São Paulo Archipelago
FIGURE 1 | South America map showing the geographic location of the São Pedro and São Paulo Archipelago, and the Gempylidae species analyzed in this study. Scale bar = 10 cm.
FIGURE 3 in Cytogenetic profiles of two circumglobal snake mackerel species (Scombriformes: Gempylidae) from deep waters of the São Pedro and São Paulo Archipelago
FIGURE 3 | Karyotypes of Ruvettus pretiosus and Promethichthys prometheus showing the distribution of the 18S rDNA (red), 5S rDNA (green) probes, and microsatellites (GA)15 and (CA)15 under fluorescence in situ hybridization. Scale bar = 5 µm.
FIGURE 2 in Cytogenetic profiles of two circumglobal snake mackerel species (Scombriformes: Gempylidae) from deep waters of the São Pedro and São Paulo Archipelago
FIGURE 2 | Karyotypes of Ruvettus pretiosus and Promethichthys prometheus, under Giemsa staining and C-banding. The Ag-NORs sites and the correspondent CMA+/DAPI- regions are highlighted in the boxes. Scale bar = 5µm.
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.