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FIGURE 8 in Molecular and morphological data support recognition of a new genus of New World direct-developing frog (Anura: Terrarana) from an under-sampled region of South America
FIGURE 8. Distribution of Tachiramantis in the Cordillera de Mérida of Venezuela and the Cordillera Oriental of Colombia. The range gap corresponds to the relatively low-elevation Táchira Depression. Known point localities of each species are indicated, based on specimens listed in the Appendix, as well as those listed in Rivero (1984), and those with data on GBIF (www.gbif.org).
FIGURE 7. High resolution X in Molecular and morphological data support recognition of a new genus of New World direct-developing frog (Anura: Terrarana) from an under-sampled region of South America
FIGURE 7. High resolution X-ray computed tomography of digits of Tachiramantis prolixodiscus (KU 132729, adult male); (A) manus, (B) pes.
FIGURE 6. High resolution X in Molecular and morphological data support recognition of a new genus of New World direct-developing frog (Anura: Terrarana) from an under-sampled region of South America
FIGURE 6. High resolution X-ray computed tomography of skull of Tachiramantis prolixodiscus (KU 132729, adult male); (A) dorsal view, (B) ventral view, (C) side view.
FIGURE 5. High resolution X in Molecular and morphological data support recognition of a new genus of New World direct-developing frog (Anura: Terrarana) from an under-sampled region of South America
FIGURE 5. High resolution X-ray computed tomography of Tachiramantis prolixodiscus (KU 132729, adult male); dorsal view.
FIGURE 4 in Molecular and morphological data support recognition of a new genus of New World direct-developing frog (Anura: Terrarana) from an under-sampled region of South America
FIGURE 4. Tachiramantis prolixodiscus specimen KU 132729, adult male paratype of the type species of Tachiramantis.
FIGURE 3 in Molecular and morphological data support recognition of a new genus of New World direct-developing frog (Anura: Terrarana) from an under-sampled region of South America
FIGURE 3. Tachiramantis species in life. (A) Tachiramantis prolixodiscus specimen CBA 7510, adult female from Calderas, Barinas, Venezuela. (B) Tachiramantis lentiginosus specimen CVULA 9100, adult male from Guaraque, Mérida, Venezuela.
FIGURE 2 in Molecular and morphological data support recognition of a new genus of New World direct-developing frog (Anura: Terrarana) from an under-sampled region of South America
FIGURE 2. Maximum likelihood phylogeny of Terrarana, based on analysis of the genes 12S, tRNA-Val, 16S, RAG1, and TYR. Support values (Bayesian posterior probabilities/ML bootstrap support/MP bootstrap support) are indicated for nodes bearing on intergeneric relationships (i.e., at or above the genus level) with ML bootstrap support ≥ 50%.
FIGURE 1 in Molecular and morphological data support recognition of a new genus of New World direct-developing frog (Anura: Terrarana) from an under-sampled region of South America
FIGURE 1. (A) 2.5 degree grid cell map of terraranan distribution, depicting degree of sampling in each grid cell as standardized residuals of a linear regression of the number of species with available DNA sequences vs. total number of species. (B) Scatterplot of number of species with available DNA sequences vs. total number of species for all 287 grid cells.
Supplementary Data - Haplotype-based inference of recent effective population size in modern and ancient DNA samples
<p>This repository contains the simulated data analyzed in our manuscript titled "Haplotype-based Inference of Recent Effective Population Size in Modern and Ancient DNA Samples".The data is split into 7 datasets. </p><p><strong>- demographies.tar.gz</strong>: the simulated demographic models.<br><strong>- modern_data.tar.gz:</strong> simulated SNP-araray data. The genotypes were simulated under 4 demographic histories (see demographies.tar.gz) for 256 samples and under 10 different random seeds (Replicate 1-10). Additionally, Replicates 11 and 12 include simulations at larger sample sizes. Note that the results at lower sample sizes can be obtained by keeping the first N samples of the simulated files.<br><strong>- true_ibd.tar.gz :</strong> This dataset contains the IBD segments from the simulated modern_data (ground truth from ARGON simulator).<br><strong>- ancient_data.tar.gz</strong> dataset contains simulated aDNA data. The dataset contains data simulated at different coverages (MISSING_$M, where $M = exp(-coverage)), sample sizes, demographic models, and random seeds. Split into three parts. See below for instructions on how to reconstruct the dataset. <br><strong>- structure.tar.gz</strong> and<strong> admixture.tar.gz :</strong> contain the data simulated under more complex demographic histories involving 2 isolated populations (structure) or a single population undergoing a recent admixture event (admixtuer.tar.gz). The manuscript provides more details about the demographic histories.<br>- <strong>imputed.tar.gz</strong> dataset contains simulated imputed aDNA data. Each region was simulated independently. Each folder corresponds to a chromosome arm and contains:<br> - data.anc_array.npy: list of the SNPs included in the analysis (simulating a 1240k array)<br> - data.glimpse.vcf.gz: phased ancient population data as phased by GLIMPSE v1<br> - data.glimpse.vcf.gz.csi: index for the above VCF file<br> - data.imputed.vcf.gz: imputed ancient population data (unphased, including dosages and genotype posteriors)<br> - data.imputed.vcf.gz.csi: index file for the above VCF<br> - data.map.gz: genetic map for GLIMPSE (tab-separated format: pos chr cM)<br> - data.ref.tsv.gz: file used for calculating genotype likelihoods with BCFtools mpileup command to use as input for GLIMPSE (format: chromosome position ref_allele,alt_allele)<br> - data.ref.tsv.gz.tbi: index for the above file<br> - data.ref.vcf.gz: simulated sequencing data from the reference panel<br> - data.ref.vcf.gz.csi: index file for the above VCF<br> - data.target_ground_truth.vcf.gz: simulated sequencing data for the ancient population (ground truth)<br> - datalist.txt: list of genotype likelihood files for each target individual (to be used for merging into a single file)<br> - data.temp.map.gz: genetic map for data creation with msprime simulator (format: chr position rate(cM/Mb) cM)<br> - data.tree -> msprime simulator output containing all samples, both reference panel samples and ancient population samples<br> - data.vcf.gz: VCF containing ground truth sequencing data, phased genotypes for reference panel samples and for ancient population samples<br> - dataref.fa.fai: index for reference fasta file used during reads creation</p><p> </p><p>Note that some of the datasets have been split into multiple parts, for example admixed.tar.gz has been split into three different parts admixed.tar.gz-part-aa, admixed.tar.gz-part-ab, and admixed.tar.gz-part-ac<br>You can get the data by typing:</p><p>cat admixed.tar.gz.part-* > admixed.tar.gz</p><p><br> </p>
Underlying data for The Impact of ABCB1 (rs1045642 and rs117068084) Gene Polymorphisms on Response to Imatinib Treatment in A Sample of Iraqi Chronic Myeloid Leukemia-Chronic Phase Patients
<p>Underlying data for The Impact of ABCB1 (rs1045642 and rs117068084) Gene Polymorphisms on Response to Imatinib Treatment in A Sample of Iraqi Chronic Myeloid Leukemia-Chronic Phase Patients </p>
Data for Figures and Tables in: "A Large Sample of Extremely Metal-poor Galaxies at z<1 Identified from the DESI Early Data"
<p>The dataset include the data used for generating the figures and forming the tables in this paper. It include 35 data files, where most of them are in FITS binary table format and six of them are in JPG format. Each file have a detailed description as presented in the ReadMe file (please refer it for more details).</p>
Fig. 2. Fish samples from the Tor genus. A in Species authentication of Tor spp. (family Cyprinidae) in Indonesia based on osteocranium structure and biometric data
Fig. 2. Fish samples from the Tor genus. A: T. tambroides (Bleeker 1854), B: T. tambra (Valenciennes 1842), C: T. douronensis (Valenciennes 1842), and D: T. soro (Valenciennes 1842). Scale bar: 3 cm.
Raw data for Evaluating community-wide temporal sampling in passive acoustic monitoring: A comprehensive study of avian vocal patterns in subtropical montane forests
<p>This dataset, utilized in the research paper "<a href="https://doi.org/10.12688/f1000research.141951.1">Evaluating community-wide temporal sampling in passive acoustic monitoring: A comprehensive study of avian vocal patterns in subtropical montane forests</a>", comprises columns such as site_name, longitude (WGS84), latitude (WGS84), altitude (meters above sea level), vegetation types, date, hour, minute, julian_day, scientific_name, and Vocal Activity Rate per minute (VAR_m). It encompasses data gathered from twelve Passive Acoustic Monitoring (PAM) stations positioned within Yushan National Park (YSNP), Taiwan. The collection period spanned from March 1 to June 30, 2021. The dataset documents 8,202,731 vocalizations from twelve bird species, detected using an automated sound identification tool named SILIC (Sound Identification and Labeling Intelligence for Creatures). The vocalization data is aggregated by site, species, and time (down to the minute).</p>
Data from: Alignment of COI haplotypes from museum samples of Diptera of forensic importance
<p>Necrophagous Diptera are the most important group of insects used for the purposes of forensic entomology. While the most utilized fly family in this context is the family Calliphoridae, there is a number of other families, which can be of a great importance during real case investigations. This article analyses the necrophagous flies of all families recorded from 160 real cases in Switzerland in between 1993-2007. A total of 56 species belonging to 16 families was identified with Calliphoridae being the most dominant family (90,63 % of all cases), followed by Muscidae (26,25 %), Sarcophagidae (19,38 %), Phoridae (14,38 %) and Fanniidae (12,50 %). For specimens that were difficult to identify morphologically, a new PCR primer has been specifically designed for the amplification of a short, informative COI barcode in degraded museum samples of forensically important Diptera taxa. The richest family in terms of species was the family Muscidae with 16 species. <em>Fannia fuscula</em> and <em>Fannia monilis</em> were recorded from human cadavers for the first time. The study highlights the importance of different fly families in forensic investigation, enhancing our comprehension of their prevalence and dispersion in real cases in Central Europe. The results pave the way for additional exploration, especially regarding the involvement of less frequently observed species in forensic entomology.</p>
Sample image data obtained by sequential DNA/RNA/IF-FISH method
<p>Sample image data obtained by sequential DNA/RNA/IF-FISH method</p>
A sample of the training data used in the paper "A Hybrid Physics-AI (HyPhAI) approach for probability fields advection: Application to cloud cover nowcasting"
<p>Copyright (2024) EUMETSAT</p>
Extended Data Fig. 2-27 Geographical information of bioinformatic predicted samples based on the analysis of 16S rRNA gene in four PE degrading bacteria
Open the record for dataset details and reuse information.
Data for the paper "Fock State Sampling Method – Characteristic temperature of maximal fluctuations for interacting bosons in box potentials"
Open the record for dataset details and reuse information.
Data for the paper "Microcanonical and canonical fluctuations in atomic Bose-Einstein condensates – Fock state sampling approach"
Open the record for dataset details and reuse information.
Sample data for sequencing QC very short introduction
<p>Sample data for training</p>
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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.