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FIGURE 3. A in A new species of barred frog, Mixophyes (Anura: Myobatrachidae) from south-eastern Australia identified by molecular genetic analyses
FIGURE 3. A) Maximum Likelihood phylogram and B) SVD Quartets cladogram of relationships among Mixophyes based on Single Nucleotide Polymorphisms. Alphanumeric codes refer to collection location details and ABTC numbers in Table 1.
FIGURE 6 in A new species of barred frog, Mixophyes (Anura: Myobatrachidae) from south-eastern Australia identified by molecular genetic analyses
FIGURE 6. Cross bar patterns on hindlimbs of Mixophyes. Side by side comparison of A) thigh and B) tibia-fibula in life of left Mixophyes balbus from Coombadjha Creek Washpool NP and right M. australis sp. nov. from Congewai Creek, Watagan NP. Thighs of Mixophyes balbus from C) Little Styx River, New England NP, D) Thungutti Creek, New England NP, E) Coombadjha Creek, Washpool NP, and Mixophyes australis sp. nov. from F) Congewai Creek, Watagan NP, G) Frying Pan Creek, Chichester SF and H) Sharpes Creek, Gloucester Tops NP.
FIGURE 5 in A new species of barred frog, Mixophyes (Anura: Myobatrachidae) from south-eastern Australia identified by molecular genetic analyses
FIGURE 5. Plots of linear discriminants for analyses of morphological variation among Mixophyes balbus (blue) and Mixophyes australis sp. nov. (red).
FIGURE 7 in A new species of barred frog, Mixophyes (Anura: Myobatrachidae) from south-eastern Australia identified by molecular genetic analyses
FIGURE 7. Mixophyes balbus in life. A) Rockadooie Ck, Curramore SF, Michael Mahony, B) Coombadjha Ck, Washpool NP, Stephen Mahony, C) Washpool NP, Gibraltar Range, Stephen Mahony, D) Coombadjha Ck, Washpool NP, Stephen Mahony, E) Forestland SF, Stephen Mahony, F) Forestland SF, Stephen Mahony.
FIGURE 10 in A new species of barred frog, Mixophyes (Anura: Myobatrachidae) from south-eastern Australia identified by molecular genetic analyses
FIGURE 10. Comparison of geographic pattern of relationships among mitochondrial DNA sequences and nuclear genetic (SNP) groups, highlighting the discordance in relationships among samples inferred from the two genomic compartments. Refer to Table 1 for locality code information and ABTC numbers.
FIGURE 4 in A new species of barred frog, Mixophyes (Anura: Myobatrachidae) from south-eastern Australia identified by molecular genetic analyses
FIGURE 4. Single Nucleotide Polymorphism Principal Component Analysis of Mixophyes fleayi and M. balbus. A) PC1 v PC2, B) PC3 v PC4, C) STRUCTURE barplot of all ingroup samples, D) STRUCTURE barplot of southern group samples only.
FIGURE 2 in A new species of barred frog, Mixophyes (Anura: Myobatrachidae) from south-eastern Australia identified by molecular genetic analyses
FIGURE 2. Bayesian phylogram of relationships among mitochondrial ND2 haplotypes in Mixophyes. Values at nodes represent ML bootstrap proportions (left) and Bayesian posterior probabilities (right). The tree was rooted with sequences from the outgroups and Lechriodus melanopyga, Limnodynastes salmini and Neobatrachus pictus (Table 1). Alphanumeric codes refer to collection location details and ABTC numbers in Table 1.
FIGURE 8 in A new species of barred frog, Mixophyes (Anura: Myobatrachidae) from south-eastern Australia identified by molecular genetic analyses
FIGURE 8. Mixophyes australis sp. nov. in life. A) Holotype AMS R188750, Sharpes Creek, Gloucester Top NP, Ross Knowles, B) Sharpes Creek, Gloucester Top NP, C) Gap Creek, Watagan NP, Stephen Mahony, D) Abbots Ck, Olney SF, Stephen Mahony, E) Cockerawombeeba Ck, Hastings Range, Michael Mahony, F) Cockerawombeeba Ck, Hastings Range, Michael Mahony.
FIGURE 1 in A new species of barred frog, Mixophyes (Anura: Myobatrachidae) from south-eastern Australia identified by molecular genetic analyses
FIGURE 1. Map showing collection locations sampled for molecular genetic analysis of Mixophyes in eastern Australia. Alphanumeric codes refer to collection location details in Table 1. Small black dots are voucher records from the Atlas of Living Australia, yellow triangles—M. fleayi, blue circles—M. balbus northern group, red squares—M. balbus southern group.
FIGURE 9 in A new species of barred frog, Mixophyes (Anura: Myobatrachidae) from south-eastern Australia identified by molecular genetic analyses
FIGURE 9. Reproductive calls of Mixophyes balbus and Mixophyes australis sp. nov. A) Oscillogram and spectrogram of a series of advertisement calls and encounter calls of Mixophyes australis sp. nov. over 40 seconds duration, B) a single call with the time axis expanded (1.5 seconds duration), C) oscillogram and spectrogram of a series of advertisement calls and encounter calls of Mixophyes balbus over 40 seconds duration, D) a single call with the time axis expanded (1.5 seconds duration), E) oscillogram and spectrogram of an encounter call of Mixophyes australis sp. nov., (0.4 second time axis), and F) oscillogram and spectrogram of an encounter call Mixophyes balbus (0.4 second time axis). a = advertisement call, e = encounter call, and kHz is kilohertz.
Data from: Identifying and overcoming breastfeeding challenges using two-way short message service, a randomized controlled trial
<p>Breastfeeding challenges, such as pain and perception of insufficient milk supply, prevent many women from exclusively breastfeeding their babies for the six-month duration recommended by the World Health Organization. Mobile health strategies may help women identify and overcome breastfeeding challenges. This study evaluated a two-way short message service (SMS) intervention that delivered breastfeeding messages to women in Kiambu County, Kenya, and its impact on rates of exclusive breastfeeding and breastfeeding behavior at 1, 4, and 6 months post-delivery. Women in the control group received a general package of messages containing postnatal information; women in the intervention group received these messages, plus messages related to breastfeeding and surveys which offered more information about breastfeeding challenges. Both groups of women had access to a help desk agent who responded to questions via SMS.</p> <p>There was no significant difference in the rate of exclusive breastfeeding between the intervention and control at any time point (p=.861). Women in the intervention group were more likely to report experiencing breastfeeding challenges such as pain and perceived insufficient milk supply than those in the control group (32% vs. 24%, p=0.00). Of the women in the intervention group who reported experiencing breastfeeding challenges, 70% of them found a resolution to their challenge, and 23% of them resolved their challenges using SMS. SMS may help women in low-resource settings to identify and overcome their breastfeeding challenges.</p>
(Preprocessing) Single-Cell Multi-Omics Identifies Chronic Inflammation as a Driver of TP53 mutant Leukaemic Evolution
<p>Files and scripts for preprocessing of dataset related to our publication titled "Single-Cell Multi-Omics Identifies Chronic Inflammation as a Driver of <em>TP53 </em>mutant Leukaemic Evolution".</p>
Material Suplementar - Identifying Requirements for a Multimodal User Experience Evaluation Framework for Interactive Web Systems
<p>Esta planilha contém o detalhamento do processo de codificação realizado para a identificação dos requisitos apresentado no artigo "<em>Identifying Requirements for a Multimodal User Experience Evaluation Framework for Interactive Web Systems</em>". Este artigo está submetido no XXIX Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia).</p> <p>A primeira aba da planilha contém os trechos dos artigos que geraram os códigos e os respectivos requisitos. A segunda aba mostra o agrupamento dos códigos similares para definir o conjunto de requisitos.</p>
Identifying science-policy consensus regions of high biodiversity value and institutional recognition
<p>We retrieved 63 articles presenting prioritization maps (out of 5137 screened) and grouped these into three separate clusters based on their underlying methodology and input data, using Multivariate Component Analysis and Hierarchical Clustering on Principal Components. By combining these maps, weighted according to their cluster characteristics, we generated a map of scientific-consensus regions with the highest overlap of independently generated biodiversity priorities. We also created a map of policy-consensus, representing regions with the highest potential to attract the interest of the international conservation organization.</p> <p>Here we made available the raster version of of scientific-consensus regions and the map of policy-consensus.</p> <p>The maps are two raster of continuos value, from a minimum of 0 to a max which depend on the number of overlapping priority conservation maps</p> <p>Detailed methods are available from Cimatti et al. (2021) <a href="https://doi.org/10.1016/j.gecco.2021.e01938">https://doi.org/10.1016/j.gecco.2021.e01938</a></p> <p>In the zip folder you can find scientific-consensus of policy-consensus maps with original values and reclassified with percenitles</p>
A deep learning framework combining molecular image and protein structural representation identifies candidate drugs for chronic pain
<p>Official dataset for <i>A deep learning framework combining molecular image and protein structural representation identifies candidate drugs for chronic pain</i>. </p><p>The related code can be found at <a href="https://github.com/yuxin212/GPCR-public">here</a> and <a href="https://github.com/ChengF-Lab/LISA-CPI">here</a>. </p><p>The dataset is now public. </p>
Estuarine Hypoxia – Identifying High Risk Catchments Now and Under Future Climate Scenarios - Water Level Dataset
<p>Historic water level data used in determining the inundation characteristics for each of the catchments within the study area. The locations of each water level gauge, a summary of the distribution of water levels and the distribution of data to each catchment is detailed in the Supporting Information accompanying the manuscript "Estuarine Hypoxia – Identifying High Risk Catchments Now and Under Future Climate Scenarios".</p>
Fig. 4 in Transcriptome-wide study in the green microalga Messastrum gracile SE-MC4 identifies prominent roles of photosynthetic integral membrane protein genes during exponential growth stage
Fig. 4. DEG functional enrichment during different growth stages. Pathway functional enrichment of differential expressed genes (DEGs) by using Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Pathways are at the yaxis plot, while rich factor values are at the x-axis. Size of the dots reflect gene number; small dot means 500 genes, big dot means 1000 genes. Darker the color of the dot means the highest the significant value of enrichment (Q-value). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 6 in Transcriptome-wide study in the green microalga Messastrum gracile SE-MC4 identifies prominent roles of photosynthetic integral membrane protein genes during exponential growth stage
Fig. 6. Summary differential expressed genes (DEGs) in photosynthesis – antenna proteins pathway (second most enriched pathway) using Kyoto Encyclopedia of Genes and Genomes (KEGG) functional annotation analysis. The genes at early stationary growth phase were normalized against genes at early exponential growth phase. Green color means down-regulated DEGs; red color means up-regulated DEGs; black color means no DEGs. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Transcriptome-wide study in the green microalga Messastrum gracile SE-MC4 identifies prominent roles of photosynthetic integral membrane protein genes during exponential growth stage
Fig. 1. Functional annotation of unigenes. Ratio of different species maps on transcripts annotation analysis based on non-redundant (NR) protein databases. Blue color means Monoraphidium neglectum; green color means other species; orange means Porphyra umbilicalis; grey color means Aureococcus anophagefferens; yellow color means Guillardia theta CCMP2712; purple color means Chlamydomonas reinhardtii. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Transcriptome-wide study in the green microalga Messastrum gracile SE-MC4 identifies prominent roles of photosynthetic integral membrane protein genes during exponential growth stage
Fig. 5. Top DEG pathway enrichment involved during different growth stages. Summary of differential expressed genes (DEGs) identified in photosynthesis pathway (most enriched pathway) of M. gracile SE-MC4 according to Kyoto Encyclopedia of Genes and Genomes (KEGG) functional annotation analysis. The genes at early stationary growth phase were normalized against genes at early exponential growth phase. Green color means down-regulated DEGs; red color means up-regulated DEGs; black color means no DEGs. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
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.