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247 results for “inland water”
Fig. 24. Diaphamosoma dubium parthenogenic female. A in Taxonomy and distribution of four Cladoceran families (Branchiopoda: Cladocera: Moinidae, Bosminidae, Chydoridae and Sididae) in Philippine inland waters
Fig. 24. Diaphamosoma dubium parthenogenic female. A, habitus; B, postero-ventral valve margin; C, distal part of second segment of upper 2-segmented antennal branch (Phil.); D, distal part of second segment of upper 2-segmented antennal branch (China); E, postabdomen.
Fig. 20 in Taxonomy and distribution of four Cladoceran families (Branchiopoda: Cladocera: Moinidae, Bosminidae, Chydoridae and Sididae) in Philippine inland waters
Fig. 20. Scanning electron micrographs of Moina micrura parthenogenic female SEM micrograph. A, habitus; B, antennae; C, antennule with exopod; D, postabdominal claw.
Fig. 13 in Taxonomy and distribution of four Cladoceran families (Branchiopoda: Cladocera: Moinidae, Bosminidae, Chydoridae and Sididae) in Philippine inland waters
Fig. 13. Anthalona sp. parthenogenic female, Lake Lanao, Lanao del Sur. A, habitus; B, antennae; C, postabdomen
Fig. 8 in Taxonomy and distribution of four Cladoceran families (Branchiopoda: Cladocera: Moinidae, Bosminidae, Chydoridae and Sididae) in Philippine inland waters
Fig. 8. Chydorus cf. sphaericus parthenogenic female. Lake Malbato, Coron, Palawan. A, habitus; B, antennae; C, post abdomen.
Fig. 7 in Taxonomy and distribution of four Cladoceran families (Branchiopoda: Cladocera: Moinidae, Bosminidae, Chydoridae and Sididae) in Philippine inland waters
Fig. 7. Distribution of family Chydoridae based on recently collected samples (2013) and stored samples in the UST ZRC.
Fig. 23 in Taxonomy and distribution of four Cladoceran families (Branchiopoda: Cladocera: Moinidae, Bosminidae, Chydoridae and Sididae) in Philippine inland waters
Fig. 23. Distribution of family Sididae based on recently collected samples (2013) and stored samples in the UST ZRC.
Fig. 4 in Taxonomy and distribution of four Cladoceran families (Branchiopoda: Cladocera: Moinidae, Bosminidae, Chydoridae and Sididae) in Philippine inland waters
Fig. 4. Scanning electron micrographs of Bosmina fatalis. A, habitus; B, frontal head pore (FHP); C, antennule showing the dimensions of the rostrum; D, lateral head pore (LHP); E, postabdomen showing claw; F, inverted postabdominal claw showing pecten and setules.
Fig. 5. Bosminopsis deitersi. A in Taxonomy and distribution of four Cladoceran families (Branchiopoda: Cladocera: Moinidae, Bosminidae, Chydoridae and Sididae) in Philippine inland waters
Fig. 5. Bosminopsis deitersi. A, habitus; B, antennule; C, postabdominal claw showing the post-anal extension; D, antennae.
Fig. 2 in Taxonomy and distribution of four Cladoceran families (Branchiopoda: Cladocera: Moinidae, Bosminidae, Chydoridae and Sididae) in Philippine inland waters
Fig. 2. Distribution of family Bosminidae based on recently collected samples (2013) and stored samples in the UST ZRC.
Fig. 3. Bosmina fatalis parthenogenic female. A in Taxonomy and distribution of four Cladoceran families (Branchiopoda: Cladocera: Moinidae, Bosminidae, Chydoridae and Sididae) in Philippine inland waters
Fig. 3. Bosmina fatalis parthenogenic female. A, habitus; B, antennule; C, terminal claws; D, postabdomen.
Fig. 1 in Taxonomy and distribution of four Cladoceran families (Branchiopoda: Cladocera: Moinidae, Bosminidae, Chydoridae and Sididae) in Philippine inland waters
Fig. 1. Map of the Philippines indicating inland waters included in this study. Refer to Table 1 for other pertinent details on the sampling sites.
Fig. 11 in Taxonomy and distribution of four Cladoceran families (Branchiopoda: Cladocera: Moinidae, Bosminidae, Chydoridae and Sididae) in Philippine inland waters
Fig. 11. Pleuroxus cf. quasidenticulatus parthenogenic female. A, habitus; B, antennae; C, post abdomen.
Sentinel-3 Altimetry satellite imagery for Inland Water Altimetry Monitoring
<p>Sentinel-3 Altimetry satellite imagery for Inland Water Altimetry Monitoring</p>
Figure 3. A third C in First photographic inland record of blacktip reef sharks Carcharhinus melanopterus (Carcharhiniformes: Carcharhinidae) in Indonesian waters
Figure 3. A third C. melanopterus caught by local people on 6 March 2019 in Sentani, Papua province, Indonesia (Photo: Jay Fajar).
Figure 1 in First photographic inland record of blacktip reef sharks Carcharhinus melanopterus (Carcharhiniformes: Carcharhinidae) in Indonesian waters
Figure 1. Location of C. melanopterus (yellow triangle) found in freshwater habitat in Sentani, Papua province, Indonesia.
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>
Simulation data of inland and reef waters
<p>This dataset contains</p> <p><strong>Simulations.zip.</strong> Simulation data of the article by P. Gege and A.G. Dekker, "Spectral and radiometric measurement requirements for inland and reef waters". Submitted to Remote Sensing, 2020. The data are organized in the following subdirectories:</p> <ul> <li>/deep_standard: simulations for the standard scenarios of optically deep water.</li> <li>/deep_extreme: simulations for the extreme scenarios of optically deep water.</li> <li>/shallow: simulations for the shallow water scenarios.</li> <li>/all: copy of a subset of data from the folders /deep_standard, /deep_extreme and /shallow used for statistical analysis</li> <li>/Modtran: configuration files and output files of the Modtran simulations</li> <li>/Analysis: statistical analyses and SNR calculations derived from the simulations.</li> </ul> <p><strong>Figures.zip.</strong> Plots and figures of the article in two subdirectories:</p> <ul> <li>/Techplot: contains all configuration files for the plots created with the plot program Techplot 6 (<a href="http://www.sftek.de/">http://www.sftek.de/</a>). For modifying or redrawing plots, updating the paths may be necessary as Techplot references the plotted data using absolute paths. Techplot is no longer available and not continued.</li> <li>/Figures: contains all Figures of the article</li> </ul> <p><strong>WASI5.2_source.zip.</strong> Source code of version 5.2 of the software WASI which was used for the simulations.</p> <p><strong>WASI5.2_exe.zip.</strong> Executable version of version 5.2 (16 Dec 2019) of the software WASI which was used for the simulations. Unpack the zip file such that d:/wasi5.2 is the main directory. Each series of simulations can be reproduced by replacing WASI5_2.INI with the corresponding configuration file (*.INI) from Simulations.zip. To make the INI files usable, replace all occurrences of 'wasi5.1' and 'wasi4' with 'wasi5.2' using a text editor. The software allows furthermore running additional simulations.</p>
Carbon emission from Western Siberian inland waters
<p>Datasets supporting the manuscript entitled "Carbon emission from Western Siberian inland waters", in press. More detailed information will be added prior publication</p> <p> </p>
Reactivity, fate and functional roles of dissolved organic matter in anoxic inland waters
<p class="Textkrper1">The transit of organic matter (OM) through the aquatic compartment of its global cycle has been intensively studied, traditionally with a focus on the processing and degradation of its dissolved fraction (DOM). Because this is so intimately related to oxidation, the notion tenaciously persists that where dioxygen (O<sub>2</sub>) is absent, DOM turnover is markedly slowed. In this Opinion Piece, we outline how diverse processes shape, transform and degrade DOM also in anoxic aquatic environments, and we focus here on inland waters as a particular case study. A suite of biogeochemical DOM functions that have received comparatively little attention may only be expressed in anoxic conditions, and may result in enhanced biogeochemical roles of these deoxygenated habitats on a network scale.</p>
Regional and fine-scale local adaptation in salinity tolerance in Daphnia inhabiting contrasting clusters of inland saline waters
<p>Freshwater salinisation is an important threat to biodiversity, ecosystem functioning, and the provision of ecosystem services. Therefore, understanding the capacity of species to adapt to salinity gradients is crucial. Clusters of naturally saline habitats represent ideal test cases to study the extent and scale of local adaptation to salinisation. We studied local genetic adaptation of the water flea Daphnia magna, a key component of pond food webs, to salinity in two contrasting landscapes - a dense cluster of sodic bomb crater ponds and a larger-scale cluster of soda pans. We show regional differentiation in salinity tolerance reflecting the higher salinity levels of soda pans versus bomb crater ponds. We found local adaptation to differences in salinity levels at the scale of tens of metres among bomb crater pond populations but not among geographically more distant soda pan populations. The population-level salinity tolerance range was reduced in more saline bomb crater ponds through an upward shift of the minimum salt tolerance observed across clones and a consequent gradual loss of less tolerant clones in a nested pattern. Our results show genetic adaptation to salinity gradients at different spatial scales and fine-tuned local adaptation in neighbouring habitat patches in a natural landscape.</p>
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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.