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7,081 results for “Habitats”
FIGURE 3 in Fish assemblage structure related to habitat heterogeneity in rocky reefs in the Mexican Pacific coast
FIGURE 3 | Rarefaction curves of species richness for the California Current (CC) and North Equatorial Current (NEC) in the sampled sites: Caleta de chon (CH), Las Gatas (LG), Manzanillo (MZ), and Zacatoso (ZC). Shaded area represents 95% confidence interval.
FIGURE 2 in Fish assemblage structure related to habitat heterogeneity in rocky reefs in the Mexican Pacific coast
FIGURE 2 | Principal component analysis of (A) sea water conditions and (B) heterogeneity components in sampling sites for the California Current (CC) and North Equatorial Current (NEC). Sampled sites: Caleta de chon (CH), Las Gatas (LG), Manzanillo (MZ), and Zacatoso (ZC). Horizontal and vertical scatter bars represent 95% of confidence interval.
FIGURE 1 in Fish assemblage structure related to habitat heterogeneity in rocky reefs in the Mexican Pacific coast
FIGURE 1 | Geographic location of the Ixtapa and Zihuatanejo bays in the Pacific Coast of Mexico and sampling sites.
Fig. 6 in Flexibility is everything: prey capture throughout the seasonal habitat switches in the smooth newt Lissotriton vulgaris
Fig. 6 First (a) and second (b) phase of the tongue prehension mode shown in Fig. 4a. The time axes are normalized to percentages of corresponding phase duration. Both phases can, therefore, be directly compared to the kinematic profiles shown in Fig. 4. Note the striking similarities of movement patterns of the second phase (b) and the aquatic feeding patterns shown in Fig. 4a, b, c
Fig. 5 in Flexibility is everything: prey capture throughout the seasonal habitat switches in the smooth newt Lissotriton vulgaris
Fig. 5 Significant correlation plots of kinematic variables. The feeding modes are color*coded: blue (a, b) suction feeding in the aquatic stage, liVWt brown (c, d), jaw prehension in the aquatic stage, and Vreen (e–l)
Dataset belonging to Fragmented micro-growth habitats present opportunities for alternative competitive outcomes
<p>This Dataset contains the raw data, processed data and script/code underlying the results and figures presented in the manuscript "Fragmented micro-growth habitats present opportunities for alternative competitive outcomes", (deposited at BioRXiv 10.1101/2024.01.26.577336)</p> <p>by: Maxime Batsch<sup>1</sup>, Isaline Guex<sup>2</sup>, Helena Todorov<sup>1</sup>, Clara M. Heiman<sup>1</sup>, Jordan Vacheron<sup>1</sup>, Julia A. Vorholt<sup>3</sup>, Christoph Keel<sup>1</sup>, and Jan Roelof van der Meer<sup>1*</sup></p> <p>1) Department of Fundamental Microbiology, University of Lausanne, CH-1015 Lausanne, Switzerland</p> <p>2) Department of Mathematics, University of Fribourg, CH-1700 Fribourg, Switzerland</p> <p>3) Institute for Microbiology, Swiss Federal Institute of Technology (ETH Zürich), CH-8049 Zürich, Switzerland</p> <p>The raw data consists of microscopy droplet/cell image data, 96-well plate reader data, and flow cytometry cell counts.<br>Processed data are organised by Figure in the manuscript and/or the Supplementary figures belonging to the manuscript. Figure folders contain the main output, the input data, the code and scripts to produce the output from the input, and relevant statistical tests.</p>
FIGURE 4 in Fish functional responses to local habitat variation in streams within multiple land uses areas in the Amazon
FIGURE 4 | Relationships between the ecomorphological traits of fish species and environmental variables (land use and local habitat) in the streams evaluated in this study. Traits are represented by labels: relative head length (RHL), relative mouth width (RMW), relative height (RH), relative area of pectoral fin (RAPF) and relative caudal peduncle length (RCPL).
FIGURE 3 in Fish functional responses to local habitat variation in streams within multiple land uses areas in the Amazon
FIGURE 3 | Relationships between fish functional trophic groups and environmental variables (land use and local habitat) in the streams evaluated in this study. The groups are represented by the labels: Diurnal channel drift feeders (FTG 3), Diurnal backwater drift feeders (FTG 4), Diurnal surface pickers (FTG 7), Diggers (FTG 9) and Ambush and stalking predators (FTG 11). The FTG's with a correlation between 0.2 and -0.2 have been omitted for better visualization of the results.
FIGURE 2 in Fish functional responses to local habitat variation in streams within multiple land uses areas in the Amazon
FIGURE 2 | Ordination of the types of land use in the catchment areas of the study streams at the Capim River basin, eastern Amazon.
FIGURE 1 in Fish functional responses to local habitat variation in streams within multiple land uses areas in the Amazon
FIGURE 1 | Location of sampling streams (Middle Capim River basin, Pará State, Brazil). The characteristics of each land use class are described in the Material and Methods section.
Platypus eDNA and habitat data and yearly samples
<p>Data relating to presence and absence of platypus eDNA and habitat variables collected for each site as well as the years sampled. This data is part of a long term prgoram with local south-east Queensland Councils. Contact individual councils for data sets. </p>
Figure 2 in Premier signalement de Pseudanthias bicolor (Serranidae) sur différents habitats artificiels à La Réunion
Figure 2. - Spécimens de Pseudanthias bicolor photographiés à La Réunion. A: 9 octobre 2012 sur un récif artificiel de la baie de La Possession (–25 m); B: 22 mai 2013 sur l'épave du navire Sea Venture en baie de Saint-Paul (–45 m). [Specimens of Pseudanthias bicolor photographed at Reunion Island. A: 9 October 2012 on an artificial reef in La Possession Bay (–25 m); B: 22 May 2013 on the shipwreck Sea Venture in Saint-Paul Bay (–45 m).]
Figure 1 in Premier signalement de Pseudanthias bicolor (Serranidae) sur différents habitats artificiels à La Réunion
Figure 1. - Géomorphologie côtière de La Réunion et habitats artificiels littoraux des baies de Saint-Paul et La Possession. 1 et 2: stations de signalement des deux spécimens de Pseudanthias bicolor décrits dans cette étude. [Coastal geomorphology of Reunion Island and artificial habitats in Saint-Paul and La Possession bays. 1 and 2: stations recording the two specimens of Pseudanthias bicolor described in this study.]
Fig. 1 in Abundance of tended and non-tended Dalbulus leafoppers (Hemiptera: Cicadellidae) and their parasitoids within the gamagrass Tripsacum habitat
Fig. 1. Average number of adult Dalbulus leafoppers trapped by yellow sticky traps within the Tripsacum dactyloides habitat during the end of the wet season of 2018, in Jalisco, Mexico. Different letters (a, b, c) indicate statistical significance.
Fig. 2 in Abundance of tended and non-tended Dalbulus leafoppers (Hemiptera: Cicadellidae) and their parasitoids within the gamagrass Tripsacum habitat
Fig. 2. Average number of adult egg parasitoids trapped by yellow sticky traps within the Tripsacum dactyloides habitat during the end of the wet season of 2018, in Jalisco, Mexico. Different letters (a, b) indicate statistical significance.
Figure 3 in Habitat associations and conservation of Eremias acutirostris (Boulenger, 1887) in the Sistan region, Zabol, Iran
Figure 3. Habitat of Eremias acutirostris along the road from Bonjar to Doost Mohammad, Sistan region, Iran.
Figure 2 in Habitat associations and conservation of Eremias acutirostris (Boulenger, 1887) in the Sistan region, Zabol, Iran
Figure 2. Map of Iran and the location of limited population (A) of Eremias acutirostris in east of Iran.
Data archive for 'Convolutional neural networks facilitate river barrier detection and evidence severe habitat fragmentation in the Mekong River biodiversity hotspot'
<p>This repository contains the code and databases used in the paper 'Convolutional neural networks facilitate river barrier detection and evidence severe habitat fragmentation in the Mekong River biodiversity hotspot'. </p> <p>The 'Mekong River Barrier Database (MRBD)' folder contains the basin-scale barrier database developed in this study. This database contains more than 13,000 unique barriers, which were identified by using the convolutional neural networks-based object detection method from Google Earth’s satellite imagery.</p> <p>The 'FCOS' folder contains the barrier detection model (FCOS ResNext-101-FPN), trained for detecting river barriers from remotely sensed images within the MMDetection framework. The 'FCOS_x101_v2' folder contains the enhanced FCOS model.</p> <p>The 'R_script' folder contains R files used in the paper. Coordinate.R was used to extract coordinates from bounding boxes in each TIF image. CAFI.R was used to calculate the CAFI index in each sub-catchment.</p> <p>The 'Barrier image training set' folder contains over 10,000 river barrier satellite images and their associated JSON files, forming the 'training, validation, and test datasets' used during the model training process. This dataset is made available to the user community in raw, in the hope that others will contribute to its future development, thereby enhancing its use and utility.</p> <p>For more information on the MMDetection framework, refer to the following GitHub repository: <a href="https://github.com/open-mmlab/mmdetection">https://github.com/open-mmlab/mmdetection</a></p>
Figure 2 in A review of the status, distribution and ecology of Friedmann's Lark Mirafra pulpa, including its habitat associations
Figure 2. Spatial distribution of records of Friedmann's Lark Mirafra pulpa records in relation to the cindercone formations of the Dukana / Huri Hills in Kenya (KE) and Ethiopia (ET), and the Nyambeni and Chyulu Hills in Kenya. Records extend to Tanzania (TZ).
Figure 1 in A review of the status, distribution and ecology of Friedmann's Lark Mirafra pulpa, including its habitat associations
Figure 1(a) Monthly (1912–2018) and (b) annual (since 1972) summaries of Friedmann's Lark Mirafra pulpa records.
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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.