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Figure 6. A in Bone surface texture as an ontogenetic indicator in long bones of the Canada goose Branta canadensis (Anseriformes: Anatidae)
Figure 6. A, very faint transverse wrinkles, indicated by arrows (DMNH 82228, tibiotarsus). B, a more prominent transverse wrinkled texture pattern (DMNH 82910, femur). C, scattered pores, examples indicated by arrows, on an otherwise nonporous surface (DMNH 82729, femur). D, rugose texture (DMNH 82944, femur). E, areas of rugose texture on an otherwise smooth surface (DMNH 80847, humerus). Scale bars = 1 cm.
Figure 5 in Bone surface texture as an ontogenetic indicator in long bones of the Canada goose Branta canadensis (Anseriformes: Anatidae)
Figure 5. Examples of striated, fibrous, and porous texture patterns. A, longitudinal striations with (top) and without (bottom) transverse struts (DMNH 83589, tibiotarsus). B, fibrous texture (DMNH 78603, humerus). C, shorter-grained fibrous texture, intermediate between (B) and (D) (DMNH 82727, humerus). D, dotted pattern of porous texture (DMNH 82727, femur). E, rough grainy texture lacking distinct individual pores (DMNH 82247, femur). Scale bars = 1 cm.
Figure 12. Juvenile bone DMNH 83585 in Bone surface texture as an ontogenetic indicator in long bones of the Canada goose Branta canadensis (Anseriformes: Anatidae)
Figure 12. Juvenile bone DMNH 83585 in longitudinal section. A, longitudinal to slightly oblique channels intersecting the bone surface (arrows) in the distal region of the shaft (tibiotarsus region d). B, oblique channels intersecting the bone surface (arrows) just proximal to the midshaft region (tibiotarsus region b). C, irregular channels in the midshaft region (tibiotarsus region c). M, medullary cavity; P, periosteum. Scale bars = 92 µm.
Figure 7 in Bone surface texture as an ontogenetic indicator in long bones of the Canada goose Branta canadensis (Anseriformes: Anatidae)
Figure 7. Examples of nonpenetrating longitudinal and smooth texture patterns. A, shallow longitudinal grooves (DMNH 82732, humerus). B, shallow surface dimples (DMNH 82730, femur). C, generally smooth texture with extremely faint longitudinal grooves (DMNH 82730, tibiotarsus). D, completely smooth surface (DMNH 82730, humerus). Scale bars = 1 cm.
Figure 3 in Bone surface texture as an ontogenetic indicator in long bones of the Canada goose Branta canadensis (Anseriformes: Anatidae)
Figure 3. Results of the cluster analyses of bone landmark characters. The distance metric is normalized percent disagreement. Complete linkage method (farthest neighbour). All specimen designations are DMNH catalogue numbers. The numbers in parentheses represent ontogenetic stages. Femur: DMNH 78500 differs from 'All Others' only in the lack of character 10 (medial scar for M. flexor perforati II and IV). Tibiotarsus: DMNH 83058 differs from 'All Others' only in the lack of character 13 (peroneal sulcus). Humerus: DMNH 78603 differs from 'All Others' only in the lack of character 12 (bicipital crest).
Figure 14 in Bone surface texture as an ontogenetic indicator in long bones of the Canada goose Branta canadensis (Anseriformes: Anatidae)
Figure 14. Irregular resorptive surface with large erosion bays lined by numerous osteoclasts (arrows), seen in transverse section (DMNH 83592, tibiotarsus section a). P, periosteum. Scale bar = 92 µm.
Figure 1 in Bone surface texture as an ontogenetic indicator in long bones of the Canada goose Branta canadensis (Anseriformes: Anatidae)
Figure 1. Locations of thin sections used in the autocontrol study. A, femur; B, tibiotarsus. Labelled lines indicate the positions of transverse sections. Longitudinal sections are designated based on the transverse lines they intersect.
Figure 11 in Bone surface texture as an ontogenetic indicator in long bones of the Canada goose Branta canadensis (Anseriformes: Anatidae)
Figure 11. Transverse sections of immature long bones. A, single-layered fibrolamellar cortex (DMNH 83586, femur section c). B, active incorporation of channels at the surface of the fibrolamellar cortex (DMNH 83586, tibiotarsus section c). C, stratified fibrolamellar cortex (DMNH 83586, tibiotarsus section c). D, circularly orientated oblique channels in outer regions of fibrolamellar cortex (DMNH 83589, femur section d). B, blood vessel with erythrocytes; L, lymphatic vessel; M, medullary cavity; P, osteogenic layer of periosteum. The space within P is a preparation artefact. Scale bars: A, D = 230 µm; B = 50 µm; C = 92 µm.
Figure 4 in Bone surface texture as an ontogenetic indicator in long bones of the Canada goose Branta canadensis (Anseriformes: Anatidae)
Figure 4. Relationships between the percentage adult size based on element length and the percentage maturity based on parsimony and cluster analyses.
Figure 9 in Bone surface texture as an ontogenetic indicator in long bones of the Canada goose Branta canadensis (Anseriformes: Anatidae)
Figure 9. Relationships between texture type and parsimony-based and cluster-based percentage maturity indices. The circle diameter is proportional to the number of specimens.
Fig. 1 in The effect of rearing temperature in larval development of pejerrey, Odontesthes bonariensis - Morphological indicators of development
Fig. 1. Embryonic stages of pejerrey. A) One cell stage: bd, blastodisc; f, adherent filaments; od, oil droplets; pv, perivitelline space; B) Two cells stage: bm, blastomeres; C) Blastula stage: b, blastula; D) Animal pole view at 25% epiboly stage, es, embryonic shield; gr, germinal ring; E) Vitelline veins stage: ol, ocular lenses; op, optic capsule, ot; otic capsules; sod, single oil drop; F) Pectorals fins stage: bv, bile vesicle; pf, pectoral fins; vv, vitelline veins. G) Hatching: n, notochord; o, otoliths; sb, swim bladder; sod, single oil droplet. A-F) bar = 0.5 mm; G) bar = 1 mm.
Fig. 6 in The effect of rearing temperature in larval development of pejerrey, Odontesthes bonariensis - Morphological indicators of development
Fig. 6. Differences in the rate of fin fold restructuration among larvae. A-B) same age, same temperature and different finfold stages; C-D) same age, different temperature and different finfold stage; B-D) different temperature, same age and same finfold stage. A) 24ºC, 14 dph, TL=9.1 mm; B) 24ºC 14 dph, TL=11.7 mm; C) 17ºC 14 dph, TL=8.1 mm; D) 29ºC 14 dph, TL=11.1 mm. Bar = 1 cm.
Fig. 2. Fin fold reabsorption during larvae-juvenile transition. A in The effect of rearing temperature in larval development of pejerrey, Odontesthes bonariensis - Morphological indicators of development
Fig. 2. Fin fold reabsorption during larvae-juvenile transition. A) The characteristic lobulated caudal fin showing the first fin rays (arrowhead) and the straight notochord (arrow); B) The second segment appeared (arrowhead) and the ray started to be aligned with the rostro-caudal axis (arrow); C) The ray aligned with the rostro-caudal axis (arrow); D) The forked homocercal caudal fin; E) Bifurcation of the central fin rays (arrowhead); F) The remnant fin-fold between the anus and the anal fin; G) The body shape acquires the adult conformation. A-F, bar = 0.5 mm; G = 1 mm.
Fig. 5 in The effect of rearing temperature in larval development of pejerrey, Odontesthes bonariensis - Morphological indicators of development
Fig. 5. Body shape (DA applied on un-standardized residuals, N = 287, P <0.001). Discriminant function 2 versus discriminant function 1. Rearing temperature is indicated as black circles (FPT), triangles (MixPT) and black squares (MTP). Means and 95% confidence intervals correspond to FPT (circle), MixPT (triangle), and MTP (square).
Fig. 3 in The effect of rearing temperature in larval development of pejerrey, Odontesthes bonariensis - Morphological indicators of development
Fig. 3. Total length (A), body weight (B), both in logarithmic scale, and Condition Factor (C) in relation to days post hatching (dph) and water temperature. Female producing temperature (FPT, filled circles and solid line), mixed-sex producing temperature (MixPT, empty circles and long dashed line), and male producing temperature (MPT, triangles and medium size dashed line). Note that when Condition Factor is considered as a function of Total length (D) dispersion diminishes. Lineal regression lines are indicated in order to show the tendency. Regression coefficients and r2 are indicated in Table 3.
Research Data and Software (re)Use Indications in High Energy Physics related Scholarly Works (Full dataset)
<p>This dataset contains research data and software (re)use indications (formal citations, informal mentions) in scholarly works related to High Energy Physics. 1,411 research and software indications were identified by a mix of approaches: use of citation discovery services and multiple search approaches in Google Scholar. The dataset contains indications by what approach the (re)use indications were found. All identified research data and software (re)use indications were classified according to their purpose, location, and elements.</p> <p>The data was collected in 2018 for a PhD thesis on research data and software (re)use indications in scholarly works.</p>
Identification of Research Data and Software (re)Use Indications in High Energy Physics related Scholarly Works (1951 - 2018)
<p>This dataset contains research data and software (re)use indications in High Energy Physics related scholarly works. A minimal random sample of scholarly works that contain highly processed research data was taken from HEPData and manually read for research data and software (re)use indications. The sample contains 368 works, which were published between 1951 and 2018.</p> <p>The data was collected in 2019 for a PhD thesis on research data and software (re)use indications in scholarly works.</p>
Social vulnerability to flooding in Ecuador : input variables, PCA vs Expert composite indices
<p><strong>Social vulnerability indices are used to better understand and predict the consequences of disasters, and support the development of improved disaster management policies. This research specifically supports the Ecuadorian Red Cross in generating a flood-specific social vulnerability index to inform flash flood early action protocol.</strong></p> <p>The dataset presents the results from the analysis of the social vulnerability to flooding in Ecuador, from individual input variables to the composite indices outputs. The results are available at the Parroquia level in Ecuador (admin level 3), for 1032 Parroquia excluding the Galapagos Islands.</p> <ul> <li>The dataset comprises, for each Parroquia, the estimation of <strong>15 variables characterizing the social vulnerability to flooding specific to Ecuador context</strong>. The variables are selected from literature review and consultation with Ecuadorian Red Cross disaster practitioners : <em>Disability, Poverty incidence, Gini Index, Agricultural labor share, Vectorborne disease incidence, Waterborne disease incidence, Social Security affiliation, Education level, Sanitation, Driking water access, Power access, Road travel time, Wall structure, Mobile access and Internet access.</em> All variables are normalized from 0 to 1, directed toward increasing vulnerability, and renamed accordingly.</li> <li>In addition, the <strong>Administrative level names, PCODE, calculated Area, population density,</strong> as well as related <strong>sub-regions</strong> are also referenced.</li> <li>Individual variables are integrated into <strong>composite vulnerability indices</strong>, using two different approaches: i) the Principal Component Analysis approach, using the first component <strong>PCA(n=1) </strong>and the first 5 components <strong>PCA(n=5)</strong> separately ; ii) the <strong>expert judgement weighting</strong> of the variables. The output composite indices, normalized from 0 to 1 are presented in 3 separated columns.</li> </ul> <p> </p>
MED-GOLD Indicators for the Wine pilot over Douro Valley based on High Resolution Climate projections
<p>Indicators of interest for the Wine sector over the Douro Valley using high resolution climate projections.</p> <ol> <li>GDD (Growing Degree Days) - summation of daily differences between daily temperature averages and 10 for the period April-October</li> <li>GST (Growing Season Temperature) - average of daily average temperatures for the period April-October</li> <li>SprR (Spring Rain) - Precipitation accumulated between 21st April-to 21st June,</li> <li>HarvR (Harvest Rain)-Precipitation accumulated between 21 August and 21 October</li> <li>SU35 -number of days with temperature higher than 35°C for the period April-October,</li> <li>WSDI (Warm Spell Duration Index) -days with at least 6 consecutive days when the daily temperature maximum exceeds its 90th percentile for the period April-October.</li> </ol> <p>The results are based on an sub-ensemble of five RCMs from the EURO-CORDEX modelling experiment which have been statistically downscaled to 1km x1km horizontal resolution using the PTHRES gridded dataset as the reference dataset. More details can be found in Raül Marcos-Matamoros, (2018). Report on the methodology followed to implement the wine pilot services. Zenodo. https://doi.org/10.5281/zenodo.4543337</p> <p>Datasets computed by National Observatory of Athens, in collaboration with SOGRAPE VINHOS S.A. in the framework of the European MED-GOLD project, funded from the European Union's Horizon 2020 Research and Innovation programme under Grant agreement No.776467</p> <p> </p> <p> </p>
Supplementary Data for "Convergent evolution as an indicator for selection during acute HIV-1 infection"
<p><strong>Supplementary Data 1. Position of all identified mutations in the <em>env</em> gene. </strong>This file contains detailed information about the identity of the observed mutations. It provides the position in the HXB2 genome, the amino acid change they cause in the different genetic backgrounds and the number of HIV-1 subtypes (out of a total of 170) the mutations occurs in.</p> <p><strong>Supplementary Data 2. Position of all identified mutations in the <em>rev</em> exon part of the <em>env </em>gene. </strong>Same as Supplementary Data 1, except that only mutations and amino acid substitutions in the <em>rev</em> exon 2 are shown.</p> <p><strong>Supplementary Program.</strong> With this program one can redo the analyses and simulations of the manuscript.</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.