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32 results for “inland freshwater”
Fig. 3 in Gastric nematode diversity between estuarine and inland freshwater populations of the American alligator (Alligator mississippiensis, daudin 1802), and the prediction of intermediate hosts
Fig. 3. Prey content species richness accumulation curves based on 1000 randomizations using Estimate 9.1.0. Data obtained from stomach flushing or necropsy of American alligators from (A) coastal or (B) inland habitats between 2008 and 2011. The black broken line (- -) represents the upper 95% confidence level, and the broken dotted broken line (- · -) represents the lower 95% confidence level of the species accumulation curve. The slow approach to the asymptote in coastal habitats suggests prey contents of sampled alligators did not capture all probable prey. The asymptote of inland alligators slowly begins to plateau, which may suggest our sampling efforts were close to capturing most of the probable prey of alligators.
Fig. 2 in Gastric nematode diversity between estuarine and inland freshwater populations of the American alligator (Alligator mississippiensis, daudin 1802), and the prediction of intermediate hosts
Fig. 2. Nematode species richness accumulation curve (A) and Coleman rarefaction curve (B) based on 1000 randomizations using Estimate 9.1.0. The black broken line (- -) represents the upper 95% confidence level, and the broken dotted broken line (- · -) represents the lower 95% confidence level of the species accumulation curve (A). Upper and lower Coleman standard deviations are represented by solid black lines (B). Data obtained from stomach flushing or necropsy of American alligators from Florida and Georgia between 2008 and 2011. The rapid approach to the asymptote suggests we captured all possible species of alligator nematodes.
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>
Fig. 1 in Gastric nematode diversity between estuarine and inland freshwater populations of the American alligator (Alligator mississippiensis, daudin 1802), and the prediction of intermediate hosts
Fig. 1. Collecting localities of alligators in Georgia and Florida.
Fig. 4 in Gastric nematode diversity between estuarine and inland freshwater populations of the American alligator (Alligator mississippiensis, daudin 1802), and the prediction of intermediate hosts
Fig. 4. Prey stomach contents categorized to taxonomic class levels.
Data from: Phylogeography of the Australian freshwater turtle Chelodina expansa reveals complex relationships among inland and coastal bioregions
We examined range-wide mitochondrial phylogeographic structure in the riverine freshwater turtle Chelodina expansa to determine if this species exhibits deep genetic divergence between coastal and inland hydrological provinces as seen in co-distributed freshwater taxa. We sequenced two mitochondrial loci, genealogical relationships were assessed using a network approach, and relationships among biogeographic regions were tested using analyses of molecular variance. Population history was evaluated using neutrality tests, indices of demographic expansion, and mismatch analyses. Twenty one haplotypes were recovered across two mitochondrial haplogroups separated by ca 4% nucleotide divergence. The haplogroups have discrete geographic boundaries but only partially support a hypothesis of deep divergence between coastal and inland bioregions. The first haplogroup comprises populations from the inland Murray-Darling Basin and from coastal catchments south of the Mary River in southeast Queensland. The second haplogroup comprises populations from coastal catchments north of the Mary River. Cryptic phylogeographic barriers separating adjacent coastal populations are congruent with those demonstrated for other freshwater taxa and may result from the combined influences of the Conondale Range and alluvial deposits at the mouth of the Mary River. Our study demonstrates that freshwater taxa commonly display genetic differentiation within a biogeographic region where no boundaries have been recognised, highlighting the need to uncover cryptic microbiogeographic regions to aid conservation of freshwater biota.
FIGURE 8 in A new species of freshwater isopod (Sphaeromatidea: Sphaeromatidae) from an inland karstic stream on Espíritu Santo Island, Vanuatu, southwestern Pacific
FIGURE 8. Exosphaeroides quirosi sp. nov. A, male penial processes with insertion of first pleopods behind, anterior; B, male left first pleopod 1, anterior; C, detail of seta on distomedial angle of protopod; D, male left second pleopod 2, anterior; E, detail of tip of appendix masculina; F, female left second pleopod 2, posterior.
FIGURE 6 in A new species of freshwater isopod (Sphaeromatidea: Sphaeromatidae) from an inland karstic stream on Espíritu Santo Island, Vanuatu, southwestern Pacific
FIGURE 6. Exosphaeroides quirosi sp. nov., male. A, right pereopod 1; B, detail of distal portion of latter; C, left pereopod 2, anterior; D, right pereopod 3, anterior; E, right pereopod 4, posterior.
FIGURE 7 in A new species of freshwater isopod (Sphaeromatidea: Sphaeromatidae) from an inland karstic stream on Espíritu Santo Island, Vanuatu, southwestern Pacific
FIGURE 7. Exosphaeroides quirosi sp. nov., male. A, right pereopod 5, posterior; B, left pereopod 6, anterior; C, detail of distal portion of latter; D, right pereopod 7, posterior.
FIGURE 5 in A new species of freshwater isopod (Sphaeromatidea: Sphaeromatidae) from an inland karstic stream on Espíritu Santo Island, Vanuatu, southwestern Pacific
FIGURE 5. Exosphaeroides quirosi sp. nov., male. A, left maxillule, posterior (ornamentation of innermost three pappose distal robust setae of medial lobe omitted); B, right maxilliped, posterior (ornamentation of distal portion of endite and of corresponding robust setae omitted); C, detail of distal portion of endite of latter, with ornamentation of subdistal robust setae omitted; D, same, now showing ornamentation of subdistal robust setae.
FIGURE 1 in A new species of freshwater isopod (Sphaeromatidea: Sphaeromatidae) from an inland karstic stream on Espíritu Santo Island, Vanuatu, southwestern Pacific
FIGURE 1. Location of Fapon cave on Santo Island (Vanuatu), type locality of Exosphaeroides quirosi sp. nov.
FIGURE 2 in A new species of freshwater isopod (Sphaeromatidea: Sphaeromatidae) from an inland karstic stream on Espíritu Santo Island, Vanuatu, southwestern Pacific
FIGURE 2. Exosphaeroides quirosi sp. nov. A, male habitus, lateral; B, left antennule, dorsal; C, detail of process on distal segment of peduncle of latter, dorsal; D, left antennary peduncle, dorsal; E, detail of spinules covering medial surface of proximal segment of latter; F, antennary flagellum, dorsal.
FIGURE 3 in A new species of freshwater isopod (Sphaeromatidea: Sphaeromatidae) from an inland karstic stream on Espíritu Santo Island, Vanuatu, southwestern Pacific
FIGURE 3. Exosphaeroides quirosi sp. nov. A, male habitus, dorsal; B, frontal view of epistome, with rostrum and insertions of antennules and antennae; C, detail of proximal portion of head with epistome, antennules and antennae, dorsal; D, detail of labrum and lateral lobes of epistome, posterior; E, detail of spinule on distal margin of labrum; F, paragnaths; G, detail of distal spinule on latter; H, pleotelson, ventral; I, detail of right uropod, ventral.
FIGURE 4 in A new species of freshwater isopod (Sphaeromatidea: Sphaeromatidae) from an inland karstic stream on Espíritu Santo Island, Vanuatu, southwestern Pacific
FIGURE 4. Exosphaeroides quirosi sp. nov., male. A, right mandible, posteromedial; B, detail of distal portion of latter, posterior; C, same, medial; D, left mandible with palp omitted, medial; E, detail of incisor and lacinia of latter; F, left maxilla, anterior.
FIGURE 7 in Freshwater and brackish water fishes of Sakhalin Island (Russia) in inland and coastal waters: an annotated checklist with taxonomic comments
FIGURE 7. The total number of brackish-water and freshwater fish species of Sakhalin, according to various sources and our data
FIGURE 8 in Freshwater and brackish water fishes of Sakhalin Island (Russia) in inland and coastal waters: an annotated checklist with taxonomic comments
FIGURE 8. Species by habitat. Abbrevations: Fr.—freshwater species, Fr.-Br.—freshwater and brackish species, Mr.-Br.—marine and brackish species, An.—anadromous species, An-Res.—anadromous species with landlocked forms, Am—amphidromous species.
FIGURE 6 in Freshwater and brackish water fishes of Sakhalin Island (Russia) in inland and coastal waters: an annotated checklist with taxonomic comments
FIGURE 6. Map of Sakhalin Island with indication of natural entities (islands, rivers, lakes, gulfs, etc.).
Figure 3 in Renewed sampling of inland aquatic habitats in southern Africa yields two novel freshwater crab species (Decapoda: Potamonautidae: Potamonautes)
Figure 3. Potamonautes bellarussus sp. nov., female from the Mecula mountains in the Niassa province, Mozambique, showing the bright-red colour of the freshwater crab while alive.
Figure 4 in Renewed sampling of inland aquatic habitats in southern Africa yields two novel freshwater crab species (Decapoda: Potamonautidae: Potamonautes)
Figure 4. Potamonautes bellarussus sp. nov., male holotype (carapace length = 39.29 mm) from the Yao Mountains, 1045 m a.s.l., 12°27′276″ S, 36°32′260″ E, Niassa province, Mozambique (SAM A 48212): A, whole animal, dorsal aspect; B, whole animal, ventral aspect; C, cephalothorax, frontal aspect. Scale bars: 10 mm.
Figure 8 in Renewed sampling of inland aquatic habitats in southern Africa yields two novel freshwater crab species (Decapoda: Potamonautidae: Potamonautes)
Figure 8. Potamonautes flavusjo sp. nov., male holotype, Verloren Vallei Nature Reserve (site B), Mpumalanga province of South Africa (SAM A 48203). A, left gonopod 1, anterior view; B, left gonopod 1, posterior view; C, left gonopod 2, anterior view. Scale bars: 10 mm.
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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.