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Figure 6 in Paleohistological studies of bone and teeth in Gyrodus circularis (Gyrodidae: Pycnodontiformes: Actinopterygii). Phylogenetic implications for the Gyrodidae
Figure 6. – Gyrodus circularis. Ground transversal sections (transmitted natural light). A: (MNHN-F-Histos 2748) A view of the contact between the tooth and the alveolar bone (ab). The alveolar spongy bone is constituted of relatively thin bony trabeculae that surround numerous vascular cavities. (od = orthodentine). B: (MNHN-F-Histos 2748) Detail showing the contact between the orthodentine (od) and the alveolar bone (ab). Some vascular cavities (arrowheads) and numerous osteocytes with their canalicles are seen. Scale bars: A = 250 μm; B = 100 μm.
Figure 5 in Paleohistological studies of bone and teeth in Gyrodus circularis (Gyrodidae: Pycnodontiformes: Actinopterygii). Phylogenetic implications for the Gyrodidae
Figure 5. – Gyrodus circularis. (MNHN. JRE 540). Ground sections (MNHN-F-Histos 2743) (transmitted natural light). A: Detail of the right side of the tooth (see Fig. 2) showing the presence of spheritic dentine (arrowheads) and the spongy alveolar bone (ab). B: (MNHNF-Histos 2741) Detail of dentine showing the parallel odontoblastic canalicles and two odontocytes (arrows) and the spheritic dentine (arrowheads). C: Detail of two odontocytes with their thick parallel canalicles. The arrowhead points to the spheritic dentine pulpar wall; de: dentine; pc: pulp cavity. Scale bars: A = 100 μm; B = 100 μm; C = 10 μm.
Figure 1 in Paleohistological studies of bone and teeth in Gyrodus circularis (Gyrodidae: Pycnodontiformes: Actinopterygii). Phylogenetic implications for the Gyrodidae
Figure 1. – Gyrodus circularis. (MNHN. JRE 540). A: View of the surface of the prearticular with the various molariform teeth. The arrow indicates the localisation of the axial sections. The horizontal sections are delimited by the two brackets. The white asterisk points to the tooth of the inset B. Inset B: Detail showing the microreliefs of the crown surface of the tooth pointed with the asterisk. The white arrowhead points to the central relief. Scale bars: A = 10 mm; B = 5 mm).
Fig. 7 in The biology of an isolated Mashona mole-rat population from southern Malawi, with implications for the diversity and biogeography of the genus Fukomys
Fig. 7 Violin plots showing the distribution of growth parameters (A, K, I, and maximum growth rate) calculated separately for 73 individuals of Fukomys darlingi from the Nsanje population
Fig. 6 in The biology of an isolated Mashona mole-rat population from southern Malawi, with implications for the diversity and biogeography of the genus Fukomys
Fig. 6 Growth in captive Fukomys darlingi from the Nsanje population. Mean body mass (g) calculated weekly for individuals belonging to one of four groups based on sex and breeding status (non-breeding female NB, n = 27; breeding female B, n = 13; non-breeding male NB, n = 19; breeding male B, n = 13) over a period of 10 years. Gompertz growth parameters have been estimated for each individual separately, and thereafter, mean values have been calculated for each group. These parameters have been used for modelling the solid lines
Fig. 8 in The biology of an isolated Mashona mole-rat population from southern Malawi, with implications for the diversity and biogeography of the genus Fukomys
Fig. 8 Adult body mass distribution of Fukomys darlingi from Zimbabwe (nominate form, n =18) and southern Malawi (Nsanje form, n =96). Note the larger body mass and greater sexual dimorphism in animals from Nsanje. Data on F. darlingi individuals from Goromonzi were compiled from Bennett et al. (1994), Gabathuler et al. (1996), and Herbst and Bennett (2001); animals were deemed adult when identified as breeders or when being heavier as the same-sex breeder in the respective family. Nsanje mole-rats were classified as adults at an age of 18 months
Fig. 5 in The biology of an isolated Mashona mole-rat population from southern Malawi, with implications for the diversity and biogeography of the genus Fukomys
Fig. 5 Nuclear phylogeny of Fukomys mole-rats. MCC tree estimated from nuclear datasets of five genes. Tip labels are colour-matched with those shown in the range map and the mitochondrial tree (Figs. 1 and 4). Each tip name contains the sample ID, the name of the respective CYTB lineage, and in the case of samples from F. darlingi clade also the name of the collection locality
Fig. 3 Trees obtained under the implied weighting using three concavity values k in First phylogenetic analysis of the tribe Oligaphorurini (Collembola: Onychiuridae) inferred from morphological data, with implications for generic classification
Fig. 3 Trees obtained under the implied weighting using three concavity values k = 6 (a), 9 (b), and 12 (c)
Fig. 4 Abdominal sternite IV in First phylogenetic analysis of the tribe Oligaphorurini (Collembola: Onychiuridae) inferred from morphological data, with implications for generic classification
Fig. 4 Abdominal sternite IV showing organization of furcal remnant. a, b Oligaphorura ursi Fjellberg, 1984; c Micraphorura gamae Buşmachiu and Weiner, 2013; d Oligaphorura groenlandica (Tullberg, 1876); e Dimorphaphorura inya Weiner and Kaprus, 2014; f Protaphorura eichhorni (Gisin, 1954)
Database of Pines from the Forests paper: "Intraspecific Variation in Pines from the Trans-Mexican Volcanic Belt Grown Under Two Watering Regimes: Implications for Management of Genetic Resources"
<p>Raw data from the Forests paper: "Intraspecific Variation in Pines from the Trans-Mexican Volcanic Belt Grown under Two Watering Regimes: Implications for Management of Genetic Resources" Forests <strong>2018</strong> <em>9</em>(2), 71. doi:<a href="http://dx.doi.org/10.3390/f9020071">10.3390/f9020071. </a></p> <p>The database correspond to seedlings of four Mexican pines: <em>P. oocarpa, P. patula</em> and <em>P. pseudostrobus</em>, that were submitted to two watering treatments: Field Capacity (FC) and Drought-Stress (DS), during 90 days. Growth and biomass, survival and ontogenetic score were measured.</p>
Large uptake of atmospheric OCS observed at a moist old growth forest: Controls and implications for carbon cycle applications
<p>This repository contains all data for the manuscript by Rastogi et al., titled "<strong>Large uptake of atmospheric OCS observed at a moist old growth forest: Controls and implications for carbon cycle applications</strong>". This manuscript has been accepted for publication in the Journal of Geophysical Research: Biogeosciences</p> <p> </p>
The effect of numerical aperture on quantitative use-wear studies and its implication on reproducibility [complement to Supplementary Material 3]
<p>Raw data, and RStudio project, R markdown scripts and HTML outputs of the statistical procedures.</p> <p>Instructions to download all files at once are given here: <a href="https://doi.org/10.5281/zenodo.4011952">https://doi.org/10.5281/zenodo.4011952</a></p>
Data for [Inverse magnetic susceptibility fabrics in pelagic sediment: Implications for magnetofossil abundance and alignment]
<p>Data for [Inverse magnetic susceptibility fabrics in pelagic sediment: Implications for magnetofossil abundance and alignment]</p>
PERCEIVE The use of social media in EU policy communication and implications for the emergence of a European public sphere
<p>This data set contains the underlying data of the paper “<strong>The use of social media in EU policy communication and implications for the emergence of a European public sphere</strong>”, published by The Journal of Regional Research - Investigaciones Regionales (ISSN: 1695-7253; E-ISSN: 2340-2717) in 2019.</p> <p>Data openly available within this dataset are a subset of the two following data sets, which contains all the relevant data of Work Package 3 and Work Package 5 of PERCEIVE project:</p> <ul> <li>Data set:<strong> “PERCEIVE: WP3: Effectiveness of communication strategies of EU projects” </strong><a href="https://doi.org/10.5281/zenodo.3371133">https://doi.org/10.5281/zenodo.3371133</a></li> <li>Data set:<strong> “PERCEIVE: WP5: The multiplicity of shared meanings of EU and Cohesion Regional and Urban Policy at different discursive levels” </strong><a href="https://doi.org/10.5281/zenodo.3371174">https://doi.org/10.5281/zenodo.3371174</a></li> </ul> <p>For the paper we collected Facebook posts referred to EU CP policies. We don’t have the permission to share these data (as they are protected by copyright), but all the sources are described in Deliverable 5.2, which is public (see <a href="http://doi.org/10.6092/unibo/amsacta/5726">http://doi.org/10.6092/unibo/amsacta/5726</a> or <a href="http://doi.org/10.5281/zenodo.1318184">http://doi.org/10.5281/zenodo.1318184</a>). We analyzed the textual content of data to construct a database of discursive topics in Task5.4. Data set includes the results of topic modeling and of a sentiment analysis performed on the Facebook homepages of Local Management Authorities (LMA) of PERCEIVE case study regions. </p>
Data and code for figures in "Two-tone optomechanical instability and its fundamental implications for backaction-evading measurements"
<p>Here we prepare the data and process scripts to reconstruct figure 4 of the paper (Two-tone optomechanical instability and its fundamental implications for backaction-evading measurements). The folder contains several subfolders and files:</p> <p>“Raw data”: In this folder, you can find the raw data recorded by measurement devices during the experiment. It follows the hierarchical structure. We have three pairs of folders corresponding to three cooperativities (3.5, 7, 14). One folder of each pair contains raw data files in text format (.dat) and the other one contains plots and a Numpy dictionary of the extracted parameter for each cooperativity (superdict.npy). If you need to redo the extraction process from the raw data you can simply run “181031_CXX_Final_NOQT_BAE_2D_post_processeing.py” (XX: 3.5 or 7 or 14) python code to rewrite superdict.npy files and replot all plots in the Raw data folder.<br> “NRBcodes”: A side package for the circle fit (Lorentzian fitting) in the complex plane.<br> “Dicts”: A folder containing Numpy dictionaries needed for the final plot. “superdictXX.npy” are copies of Numpy dictionaries in the Raw data folder. “powers_XX.npy” and “Ds_nor_XX.npy” are Numpy dictionaries needed for the theory plots. You can reproduce them by the uncommenting first part of the “Final_plot.py” and correcting the corresponding cooperativity.<br> “getdata.py” and “postprocessing_libs.py”: Side packages help to read the raw data files.<br> <br> All post-processes are done on the raw data and you just need to run the “Final_plot.py” to reproduce the plot. If you want to access the post-processed data you can simply read “superdictXX.npy” in the Dicts folder. <br> Please do not hesitate to contact us in case of any questions. <br> amir.youssefi@epfl.ch</p>
Figure 6 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 6. Results of the Bayesian Analysis of Population Structure (BAPS) of the Necromys lasiurus Cytochrome b sequences compiled in the present study, showing the four genetic clades, which are color-coded. The vertical black lines separate the sample groups. Insert map shows the Brazilian biomes.
Figure 7 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 7. Mismatch distribution of the Necromys lasiurus samples from the Rio de Janeiro state, Brazil. The observed frequencies are shown in red, and the expected frequencies, in green.
Figure 8 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 8. Plot of the DIYABC Random Forest simulations for the five hypothetical demographic scenarios proposed for the Necromys lasiurus groups (Atlantic Forest ecoregion, Atlantic Forest domain of Rio de Janeiro state, and Arid Diagonal ecoregion), and the location of the observed data, used to validate the best scenario. In this analysis, scenario 1 received 99 "votes", scenario 2, 398 "votes", scenario 3, 229 "votes", and scenario 4, 76 "votes", with 198 "votes" for scenario 5.
Figure 4 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 4. Haplotype network of the Necromys lasiurus Cytochrome b sequences analyzed in the present study, color-coded according to the results of the Bayesian Analysis of Population Structure (BAPS; see Fig. 6). (AF–RJ) Atlantic Forest domain of Rio de Janeiro state. Mutational steps are indicated with stripes.
Figure 5 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 5. Haplotype network of the Necromys lasiurus Cytochrome b sequences obtained in the present study from localities in the Atlantic Forest and Pampa biomes (AF), color-coded by locality. (ARG) Argentina, (MS) Mato Grosso do Sul, (MG) Minas Gerais, (PY) Paraguay, (PR) Paraná, (RJ) Rio de Janeiro, (RS) Rio Grande do Sul, (SC) Santa Catarina, (SP) São Paulo. Mutational steps are indicated with stripes.
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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.