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19,293 results for “western”
Fig. 4 in Orthopteran diversity and distribution in the Monviso Natural Park (Western Italian Alps) (Orthoptera)
Fig. 4 – Plot representing the species-sample rarefaction curve, calculat- ed using the 2019-2020 surveys data (1200 records in 395 survey points, 49 species). The grey area identifies the 95% confidence interval.
Fig. 3 in Orthopteran diversity and distribution in the Monviso Natural Park (Western Italian Alps) (Orthoptera)
Fig. 3 – Map of the study area reporting the number of survey points in each 1x1 km cell (N = 423; red circles). The unexplored cells are identified with a "X", while unfilled circles indicate cells where no surveys were carried out, due to the absence of orthoptera.
Fig. 2 in Orthopteran diversity and distribution in the Monviso Natural Park (Western Italian Alps) (Orthoptera)
Fig. 2 – Map of the study area showing the position of the 28 additional survey points (90 records) reported in literature or in the considered databases (MB = M. Bonifacino's archive; RS = R. Sindaco's archive; PRND = Piemonte Region Naturalistic Database).
Fig. 6 in Orthopteran diversity and distribution in the Monviso Natural Park (Western Italian Alps) (Orthoptera)
Fig. 6 – Barplots showing the distribution of survey points (grey bars) and observed species richness (black bars) along A, the altitudinal gradient within the study area, and B, in each month during the research period.
Fig. 1 in Orthopteran diversity and distribution in the Monviso Natural Park (Western Italian Alps) (Orthoptera)
Fig. 1 – Map showing the geographical position of the study area (Monviso massif, Cottian Alps, Piedmont, Italy). The Monviso Natural Park (yellow line, pale green area) and the SAC/SPA IT1160058 "Gruppo del Monviso e Bosco dell'Alevé" (red line) borders are reported, together with the 1x1 km lattice (UTM grid, zone 32 N) used as spatial reference during this research (in black). Red dots identify the 395 survey points (1200 records) investigated by the author in 2019-2020.
Supporting code and data for: Proportion of forest area burned at high-severity increases with increasing forest cover and connectivity in western US watersheds
<p>This is the R code and shapefiles of the coniferous HUC-12 watersheds and their western US boundary for the publication, "Proportion of forest area burned at high-severity increases with increasing forest cover and connectivity in western US watersheds" </p>
Dataset for "Terrane collision-induced subduction initiation: Mode selection and implications for western Pacific subduction system"
<p>Numerical results for "<strong>Terrane collision-induced subduction initiation: Mode selection and implications for western Pacific subduction system</strong>".</p>
Deep-SDMs in the open oceans - OUTPUTS - Western Indian Ocean
<p>This repository contains distribution maps for the Western Indian Ocean on 53 dates in 2021, as described in the preprint <a href="https://doi.org/10.1101/2023.08.11.551418">Predicting species distributions in the open oceans with convolutional neural networks.</a></p> <p>This deposit contains:</p> <p>1. A <em>00-predictions.csv</em> file containing the raw outputs of the model.</p> <p>2. Distribution maps as animated gifs.</p> <p>3. Distribution maps as GeoTIFF rasters (zipped in <em>01-geotiff-rasters.zip</em>).</p> <p>Each of these elements can be downloaded separately by scrolling to the <em>Files</em> section.</p>
Data from Widespread exposure to altered fire regimes under 2°C warming is projected to transform conifer forests of the Western United States
<p>This archive includes a minimal dataset needed to reproduce the analysis as well as a table (CSV) and spatial polygons (ESRI shapefile) of the resulting output from the publication:</p> <p>Hoecker, T.J., S. A. Parks, M. Krosby & S. Z. Dobrowski. 2023. Widespread exposure to altered fire regimes under 2°C warming is projected to transform conifer forests of the Western United States. <em>Communications Earth and Environment</em>.</p> <p>Publication abstract:</p> <p>Changes in wildfire frequency and severity are altering conifer forests and pose threats to biodiversity and natural climate solutions. Where and when feedbacks between vegetation and fire could mediate forest transformation are unresolved. Here, for the western U.S., we used climate analogs to measure exposure to fire-regime change; quantified the direction and spatial distribution of changes in burn severity; and intersected exposure with fire-resistance trait data. We measured exposure as multivariate dissimilarities between contemporary distributions of fire frequency, burn severity, and vegetation productivity and distributions supported by a 2 °C-warmer climate. We project exposure to fire-regime change across 65% of western US conifer forests and mean burn severity to ultimately decline across 63% because of feedbacks with forest productivity and fire frequency. We find that forests occupying disparate portions of climate space are vulnerable to projected fire-regime changes. Forests may adapt to future disturbance regimes, but trajectories remain uncertain.</p>
Fig 1 in A new large green treefrog (Litoria: Pelodryadidae) from western New Guinea, with the description of a new diagnostic character for the Litoria graminea group
Fig 1. Selected frogs in the Litoria graminea (A–B) and Litoria infrafrenata (C–F) groups that occur in the western (Indonesian) half of New Guinea. A, Litoria huntorum from the foothills of the Foja Mountains, B, L. pallidofemora from Batanta Island, C, Litoria infrafrenata from Batanta Island, D, Litoria lubisi from Timika region, E, Litoria multicolor from the Wondowoi Mountains, and F, Litoria purpureolata from Biak Island. Note the typically less extensive webbing on the fingers and toes of species in the Litoria infrafrenata group. Photographs: A–D, Stephen Richards, E–F, Rainer Günther.
Fig. 4 in A new large green treefrog (Litoria: Pelodryadidae) from western New Guinea, with the description of a new diagnostic character for the Litoria graminea group
Fig. 4. Details of Litoria azuroscelis, new species, holotype MZB Amph. 32893 in preservative. A, Details of eye showing largely unpigmented nictitating membranes, B, dorsal view of head, C, details of hand show moderately extensive webbing, and D, whole animal showing colouration in preservative.
Fig. 2 in A new large green treefrog (Litoria: Pelodryadidae) from western New Guinea, with the description of a new diagnostic character for the Litoria graminea group
Fig. 2. Details of nuptial excrescences in frogs from the Litoria infrafrenata (A–B) and Litoria graminea groups (C–F). A, Litoria purpureolata, B, Litoria lubisi, C, L. pallidofemora, D, L. pterodactyla, E, L. huntorum, and F, L. azuroscelis, new species. Note very fine excrescences in the two species from the Litoria infrafrenata group (A and B).
Fig 3 in A new large green treefrog (Litoria: Pelodryadidae) from western New Guinea, with the description of a new diagnostic character for the Litoria graminea group
Fig 3. Litoria azuroscelis, new species, holotype MZB Amph. 32893 in life. A, lateral view, B, more dorsal view highlighting blue wash on groin and hidden surfaces of hindlimbs. Photographs: Rainer Günther.
Fig. 7 in A new large green treefrog (Litoria: Pelodryadidae) from western New Guinea, with the description of a new diagnostic character for the Litoria graminea group
Fig. 7. Forest interior at Maja Waterfall, Papua Barat Province, Indonesia, the type locality of Litoria azuroscelis, new species. Photograph: Rainer Günther.
Fig. 5. A in A new large green treefrog (Litoria: Pelodryadidae) from western New Guinea, with the description of a new diagnostic character for the Litoria graminea group
Fig. 5. A, Spectrogram of male Litoria azuroscelis, new species, and B, amplitude spectrum for calls in 5A. Calls recorded at 25°C.
Fig. 6 in A new large green treefrog (Litoria: Pelodryadidae) from western New Guinea, with the description of a new diagnostic character for the Litoria graminea group
Fig. 6. Map of New Guinea with the type locality of Litoria azuroscelis, new species, at the base of the Wandammen Peninsula indicated by a red star.
Foliar functional trait maps for six sites along the Western Ghats of India
<p>Maps of seven key foliar functional traits for six sites along the Western Ghats of India, derived using field-sampled data and hyperspectral images acquired by NASA's Airborne Visible/ Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG).</p> <p>Traits in this dataset include: </p> <p>Leaf mass per area (LMA) in g/m<sup>2</sup>, foliar nitrogen in % dry mass (%dm), foliar fiber (%dm), foliar lignin (%dm), foliar sugars (%dm), foliar calcium (%dm), and total phenolics (%dm). </p> <p> </p>
WRF 6-km simulation of western US 1981-2010 daily hydrometeorological dataset - part 1
<p>This repo includes the raw input data and scripts (of plots in the main text) for the following manuscript:</p> <p>Chen et al., Antecedent Hydrometeorological Conditions of Wildfire Occurrence in the Western U.S. in a Changing Climate</p> <p>Details and companion scripts will be uploaded after the manuscript is accepted.</p>
Figs. 1–5 in New data on distribution of winter insects (Mecoptera: Boreidae; Diptera: Limoniidae) in Western Siberia
Figs. 1–5. Winter insects of Western Siberia. 1, 2 – Boreus westwoodi: 1 – ♀; 2 – ♂; 3 – Chionea araneoides, ♀; 4, 5 – Chionea crassipes crassipes: 4 – ♀; 5 – ♂.
Datasets for: Climate change and conservation of Caladenia orchids in Western Australia
<p>Occurence data for 26 <em>Caladenia </em>species for the paper: "<strong>Climate change and conservation of Caladenia orchids in Western Australia" </strong></p> <p><strong>Abstract</strong></p> <p>Understanding how species distributions are being shaped by current rises in atmospheric temperature is of immediate conservation importance. Orchids are a globally threatened plant family, with many species having narrow ranges and low abundances that heighten extinction risk due to rising atmospheric temperature. Using 26 rare and common <em>Caladenia </em>orchid species in Western Australia, we first performed a conservation assessment by calculating the proportion of populations that currently occur in conservation areas. We then compared current range extents with past and future climate scenarios. We performed a niche overlap test with a future climate scenario to test how the current population level climatic niche of these species will change. As some of these orchids frequently hybridize, we then quantified how ecogeographical isolation will change under future climates. Only 27% of all <em>Caladenia </em>populations are currently found in protected areas. Most species had reduced range extents in historically warmer climates. However, only three species will experience range extent contractions under future climate scenarios. The current population climatic niche has a 36% overlap with future climates, indicating that current population level conditions may change. Ecogeographical isolation will potentially increase in hybridizing species, thereby acting as a stronger barrier against hybridization. As <em>Caladenia </em>species evolved in seasonally dry conditions, this suggests that there is potential preadaptation to survive under elevated temperatures. Despite their physiological tolerances to elevated temperature, conservation of <em>Caladenia </em>species will depend on the availability of habitat to allow migration within future range limits, and the presence of their key mutualists. </p>
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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.