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230 results for “Fish fauna”
Fig. 2 in The fish fauna in the fish passage at the Ourinhos Dam, Paranapanema River
Fig. 2. The fish ladder of Ourinhos Dam. a) the middle stretch and b) the ladder's flow into the river.
Fig 1 in The fish fauna in the fish passage at the Ourinhos Dam, Paranapanema River
Fig 1. Location of Paranapanema River in Brazil. In detail on the right the sequence of 11 dams constructed on the river (ANEEL 2012): 1- Rosana, 2 - Taquaruçu, 3 - Capivara, 4 - Canoas I, 5 - Canoas II, 6 - Salto Grande, 7 - Ourinhos, 8 - Chavantes, 9 - Paranapanema, 10 - Piraju, and 11 - Jurumirim. Other dams in tributaries are shown as triangles.
Text-fig. 2. A – First small excavation trench in the newly discovered fossiliferous outcrop area of the Ploužnice lake horizon, locality "Small Ravine" south of the village Ploužnice on the slope of road No. 286. Typical are the red, violet and varicoloured tuffaceous siltstones. Semily Formation, Late Stephanian, Krkonoše Piedmont Basin. B – Basal part of fossiliferous 12 cm to14 cm thick reddish to purple-red tuffaceous siltstone bed from the trench in Text-fig. 2A. Internal bedding is expressed as horizontal but with diffuse changes in grain size from fine silt to coarse, fine sandy silt. Intercalated in places are 3 to 5 mm thick layers (indicated by arrows) with patchy concentrations of isolated fish remains, especially in the first 3 centimetres of this siltstone layer. The large white spot at 2.5 cm is a coprolite fragment. in Fossil Fauna And Flora Of A Re-Discovered Locality In The Late Carboniferous Ploužnice Horizon Of The Krkonoše Piedmont Basin, Bohemian Massif
Text-fig. 2. A – First small excavation trench in the newly discovered fossiliferous outcrop area of the Ploužnice lake horizon, locality "Small Ravine" south of the village Ploužnice on the slope of road No. 286. Typical are the red, violet and varicoloured tuffaceous siltstones. Semily Formation, Late Stephanian, Krkonoše Piedmont Basin. B – Basal part of fossiliferous 12 cm to14 cm thick reddish to purple-red tuffaceous siltstone bed from the trench in Text-fig. 2A. Internal bedding is expressed as horizontal but with diffuse changes in grain size from fine silt to coarse, fine sandy silt. Intercalated in places are 3 to 5 mm thick layers (indicated by arrows) with patchy concentrations of isolated fish remains, especially in the first 3 centimetres of this siltstone layer. The large white spot at 2.5 cm is a coprolite fragment.
Text-fig. 6. Fish remains from Volchaya Balka locality (Late Miocene, North Caucasus). a – Scardinius sp., SSC-RAS G-2/1, pharyngeal tooth of the first row, side view, occlusal view; b – Abramis cf. bjoerkna, SSC-RAS G-2/2, pharyngeal tooth of the first row: top – side view, bottom – occlusal view; c – Carassius sp., SSC-RAS G-2/3, pharyngeal tooth of the first row: top – side view, bottom – occlusal view; d – Alburnus sp., SSC-RAS G-2/4, fragment of pharyngeal bone (os pharyngicus inferius), medial view; e – Acipenser sp., SSC-RAS G-2/5, left hyomandibular: left – medial view, right – proximal view; f – Gobiidae gen. indet., SSC-RAS G-2/6, tail vertebra: left – lateral view, right – dorsal view; g – Gobiidae gen. indet., SSC-RAS G-2/7, dentary: top – medial view, bottom – dorsal view. in Late Miocene (Early Turolian) Vertebrate Faunas And Associated Biotic Record Of The Northern Caucasus: Geology, Taxonomy, Palaeoenvironment, Biochronology
Text-fig. 6. Fish remains from Volchaya Balka locality (Late Miocene, North Caucasus). a – Scardinius sp., SSC-RAS G-2/1, pharyngeal tooth of the first row, side view, occlusal view; b – Abramis cf. bjoerkna, SSC-RAS G-2/2, pharyngeal tooth of the first row: top – side view, bottom – occlusal view; c – Carassius sp., SSC-RAS G-2/3, pharyngeal tooth of the first row: top – side view, bottom – occlusal view; d – Alburnus sp., SSC-RAS G-2/4, fragment of pharyngeal bone (os pharyngicus inferius), medial view; e – Acipenser sp., SSC-RAS G-2/5, left hyomandibular: left – medial view, right – proximal view; f – Gobiidae gen. indet., SSC-RAS G-2/6, tail vertebra: left – lateral view, right – dorsal view; g – Gobiidae gen. indet., SSC-RAS G-2/7, dentary: top – medial view, bottom – dorsal view.
Fig. 1 in Patterns of niche breadth and feeding overlap of the fish fauna in the seasonal Brazilian Pantanal, Cuiabá River basin
Fig. 1. Location of the sampling site in the Cuiabá River (1 and 2) and Chacororé pond (3), in the upper Pantanal region, Mato Grosso State, Brazil.
Fig. 3 in Use of food resources by the fish fauna of a small reservoir (rio Jordão, Brazil) before and shortly after its filling
Fig. 3. Capture per unit of effort (CPUE), in abundance (a) and biomass (b) from different trophic groups.
Fig. 1 in Use of food resources by the fish fauna of a small reservoir (rio Jordão, Brazil) before and shortly after its filling
Fig. 1. Geographical location of Jordão River (Paraná State, Brazil) with indication of the study site.
The Reef Fish faunas of 6 sites in the Greater Caribbean: Alligator Reef, Bermuda, Curacao, Roatan, St. Croix and St. Eustatius
<p>Species of marine fishes in Families with members known to associate with shallow reefs in the Greater Caribbean. For each species its island(s) of occurrence are indicated, together with whether or not it is a reef-associate, its habitat usage (pelagic, demersal or benthic), for benthic species whether or not it is cryptobenthic, whether or not it is a member of a Core Coral Reef Fish Family, whether or not is maximum size is less than 10 cm TL, and whether or not it is restricted to deep water , ie below 40 m. </p> <p>These ecological characteristics are described in more detail in: Robertson DR, Tornabene L (2020) Reef-associated Bony Fishes of the Greater Caribbean: A Checklist (VERSION 3). <a href="https://zenodo.org/record/3974538#.X7a0W81KiUl">Zenodo</a>. DOI 10.5281/zenodo.4279301 </p>
Geodatabase Dataset of the Distribution of Inland Water fish fauna of Freshwater Systems in Northern Greece
<p>Abstract</p> <p>The dataset is a geodatabase focusing on the distribution of freshwater fish species in Northern Greece. The study area encompasses various lakes and rivers within the regions of Thrace, Eastern, Central, and Western Macedonia, and Epirus. It classifies fish species into three categories based on their conservation status according to the IUCN Red List: Critically Endangered, Endangered, and Vulnerable. The data analysis reveals that the study area is characterized by high fish diversity, particularly in certain ecosystems such as the Evros River, Strymonas River, Aliakmonas River, Axios River, Volvi Lake, Nestos River, and Prespa Lake. These ecosystems serve as important habitats for various fish species. Mapping of the dataset shows the geographic distribution of threatened fish species, indicating that Northern Greece is a hotspot for species facing extinction risks. Overall, the dataset provides valuable insights for researchers, policymakers, and conservationists in understanding the status of fish fauna in Northern Greece and developing strategies for the protection and preservation of these important ecosystems.</p> <p>Methods</p> <p>Data Collection: The dataset was collected through a combination of field surveys, literature reviews, and the compilation of existing data from various reliable sources. Here's an overview of how the dataset was collected and processed:</p> <ul> <li>Freshwater Fishes and Lampreys of Greece: An Annotated Checklist </li> <li>The Red Book of Endangered Animals of Greece</li> <li>The "Red List of Threatened Species"</li> <li>The study "Monitoring and Evaluation of the Conservation Status of Fish Fauna Species of Community Interest in Greece"</li> <li>The international online fish database FishBase</li> </ul> <p>Data Digitization and Georeferencing: To create a comprehensive database, we digitized and georeferenced the collected data from various sources. This involved converting information from papers, reports, and surveys into digital formats and associating them with specific geographic coordinates. Georeferencing allowed us to map the distribution of fish species within the study area accurately.</p> <p>Data Integration: The digitized and georeferenced data were then integrated into a unified geodatabase. The geodatabase is a central repository that contains both spatial and descriptive data, facilitating further analysis and interpretation of the dataset.</p> <p>Data Analysis: We analyzed the collected data to assess the distribution of fish species in Northern Greece, evaluate their conservation status according to the IUCN Red List categories, and identify the threats they face in their respective ecosystems. The analysis involved spatial mapping to visualize the distribution patterns of threatened fish species.</p> <p>Data Validation: To ensure the accuracy and reliability of the dataset, we cross-referenced the information from different sources and validated it against known facts about the species and their habitats. This process helped to eliminate any discrepancies or errors in the dataset.</p> <p>Interpretation and Findings: Finally, we interpreted the analyzed data and derived key findings about the diversity and conservation status of freshwater fish species in Northern Greece. The results were presented in the research paper, along with maps and visualizations to communicate the spatial patterns effectively.</p> <p>Overall, the dataset represents a comprehensive and well-processed collection of information about fish fauna in the study area. It combines both spatial and descriptive data, providing valuable insights for understanding the distribution and conservation needs of freshwater fish populations in Northern Greece.</p> <p> </p> <p>Usage notes</p> <p>The data included with the submission is stored in a geodatabase format, specifically an ESRI Geodatabase (.gdb). A geodatabase is a container that can hold various types of geospatial data, including feature classes, attribute tables, and raster datasets. It provides a structured and organized way to store and manage geographic information.</p> <p>To open and work with the geodatabase, you will need GIS software that supports ESRI Geodatabase formats. The primary software for accessing and manipulating ESRI Geodatabases is ESRI ArcGIS, which is a proprietary GIS software suite. However, there are open-source alternatives available that can also work with Geodatabase files.</p> <p>Open-source software such as QGIS has support for reading and interacting with Geodatabase files. By using QGIS, you can access the data stored in the geodatabase and perform various geospatial analyses and visualizations. QGIS is a powerful and widely used open-source Geographic Information System that provides similar functionality to ESRI ArcGIS.</p> <p>For tabular data within the geodatabase, you can export the tables as CSV files and open them with software like Microsoft Excel or the open-source alternative, LibreOffice Calc, for further analysis and manipulation.</p> <p>Overall, the data provided in the submission is in a geodatabase format, and you can use ESRI ArcGIS or open-source alternatives like QGIS to access and work with the geospatial data it contains.</p>
Figure 3 in Fish fauna survey on the Upper Maroni (French Guyana) between 2000 and 2002 with some ecological considerations
Figure 3. – Water level at Antecume Pata (A. Cognat data) with sampling assignments indicated 51 – M5).
Figure 1 in Fish fauna survey on the Upper Maroni (French Guyana) between 2000 and 2002 with some ecological considerations
Figure 1. – Maps of the region of Antecume Pata and location of the 3 sites around Antecume Pata and the site upstream (Pilikisoula), from left to right: location of the sites on a geographical map, on the hydrographical map, and detail on the location of the sites at Antécume Pata (© Google – Image Landat / Copernicus).
Figure 5 in Fish fauna of moderate altitude from first order stream in upper Rio Machado, Rondônia, Brazil
Figure 5. Richness per family (A) and relative abundance of species (B) registered in the upper Rio Machado basin.
Figure 4 in Fish fauna of moderate altitude from first order stream in upper Rio Machado, Rondônia, Brazil
Figure 4. Relative diversity of species (A), and relative abundance of specimens (B) per order registered in the upper Rio Machado basin.
Figure 2 in Fish fauna of moderate altitude from first order stream in upper Rio Machado, Rondônia, Brazil
Figure 2. Habitats of the sampled station in the upper Rio Machado, Rio Madeira basin, Rondônia, Brazil.
Figure 1 in Fish fauna of moderate altitude from first order stream in upper Rio Machado, Rondônia, Brazil
Figure 1. Map of the study area from the upper Rio Machado, Rio Madeira basin, Rondônia, Brazil. The sampled station is indicated by the red plus symbol.
Figure 3 in Fish fauna of moderate altitude from first order stream in upper Rio Machado, Rondônia, Brazil
Figure 3. Fishes registered from the tributary of Igarapé Piracolina, upper Rio Machado, Vilhena, Rondônia. Bryconops piracolina (1-2); Creagrutus petilus (3); Hyphessobrycon aff. notidanos (4-5); H. lucenorum (6-7); Hyphessobrycon cf. melanostichos (8); Moenkhausia parecis (9); M. cambacica (10); Erythrinus erythrinus (11); Pyrrhulina sp. nov. (12-13); Ancistrus verecundus (14-15); Tatia intermedia (16); Corydoras hephaestus (17); Megalechis thoracata (18); Cetopsorhamdia clathrata (19); Rhamdia quelen (20); Aequidens aff. rondoni (21); Brachyhypopomus degy (22); Hoplias malabaricus not represented herein.
Fig. 14 in On The Study Of Fauna (Macroinvertebrates, Fish, Amphibians, Reptiles, Birds And Mammals) Of The Lower Course Of Shokhdara River Valley In Pamir, Mountain Bodakhshan, Tajikistan
Fig. 14. Grey draft hamster.
Fig. 9 in On The Study Of Fauna (Macroinvertebrates, Fish, Amphibians, Reptiles, Birds And Mammals) Of The Lower Course Of Shokhdara River Valley In Pamir, Mountain Bodakhshan, Tajikistan
Fig. 9. Young individual of spotted whip snake, road kill, Sebzor village.
Fig. 8. N in On The Study Of Fauna (Macroinvertebrates, Fish, Amphibians, Reptiles, Birds And Mammals) Of The Lower Course Of Shokhdara River Valley In Pamir, Mountain Bodakhshan, Tajikistan
Fig. 8. N. tessellata specimen found near Shokhdara River.
Fig. 5. Caught Tibetian stone loach N in On The Study Of Fauna (Macroinvertebrates, Fish, Amphibians, Reptiles, Birds And Mammals) Of The Lower Course Of Shokhdara River Valley In Pamir, Mountain Bodakhshan, Tajikistan
Fig. 5. Caught Tibetian stone loach N. stoliczkai.
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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)
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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.