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247 results for “inland water”
Figure 19 in An updated and annotated checklist of the Malacostraca (Crustacea) species inhabited Turkish inland waters
Figure 19. Distribution of the members of Potamidae in Turkish inland waters.
Figure 16 in An updated and annotated checklist of the Malacostraca (Crustacea) species inhabited Turkish inland waters
Figure 16. Distribution of the members of Mysidae in Turkish inland waters.
Figure 14 in An updated and annotated checklist of the Malacostraca (Crustacea) species inhabited Turkish inland waters
Figure 14. Distribution of the members of Janiridae and Lepidocharontidae in Turkish inland waters.
Figure 12 in An updated and annotated checklist of the Malacostraca (Crustacea) species inhabited Turkish inland waters
Figure 12. Distribution of the members of Hyalidae and Talitridae in Turkish inland waters.
Figure 4 in An updated and annotated checklist of the Malacostraca (Crustacea) species inhabited Turkish inland waters
Figure 4. Distribution of the members of Niphargidae in Turkish inland waters.
Figure 3 in An updated and annotated checklist of the Malacostraca (Crustacea) species inhabited Turkish inland waters
Figure 3. Distribution of the members of Corophiidae and Crangonyctidae in Turkish inland waters.
Figure 13 in An updated and annotated checklist of the Malacostraca (Crustacea) species inhabited Turkish inland waters
Figure 13. Distribution of the members of Asellidae in Turkish inland waters.
Supporting Documents for "The DESC Catchments: Long-term Monitoring of Inland Precambrian Shield Catchment Streamflow and Water Chemistry in Central Ontario, Canada"
<p>Supporting documents for "<strong>The DESC Catchments: Long-term Monitoring of Inland Precambrian Shield Catchment Streamflow and Water Chemistry in Central Ontario, Canada" </strong> that are otherwise not readily accessible. These include historical government reports and relevant laboratory method descriptions from the Ontario Ministry of Environment (Canada). Reports List includes a listing of the 14 documents.</p>
Cryosphere Inland Water Greenhouse Gases Database (CIWD-GHG)
<p>This is a database called Cryosphere Inland Water Greenhouse Gases Database (CIWD-GHG), which provides spatial-temporally resolved greenhouse gases (CO<sub>2</sub>, CH<sub>4</sub>, and N<sub>2</sub>O) data from cryosphere inland waters (lakes, ponds, reservoirs, rivers, and streams). The dataset was created through a synthesis procedure.</p> <p>To compile the dataset, we conducted searches in various sources including peer-reviewed papers, dissertations, theses, and public data repositories. The searches were conducted using platforms such as Web of Science, Google Scholar, ProQuest Dissertations & Theses Global, China National Knowledge Infrastructure, Arctic Data Center, Zenodo, Environmental Data Initiative, and PANGAEA. The search string is: (methane OR CH4 OR carbon dioxide OR CO2 OR nitrous oxide OR N2O OR greenhouse*) AND (river OR stream OR lake OR pond OR reservoir) AND (Arctic* OR Tibet* OR Greenland OR Antarctic OR glacier* OR permafrost). We ensured completeness by conducting multiple searches before April 2023.</p> <p>We applied a consistent criterion for screening and selecting the searched results. Specifically, we included data on greenhouse gas concentrations or fluxes measured in inland water systems such as streams, rivers, ponds, lakes, and reservoirs that are associated with permafrost or glaciers. The study focused on the cryosphere extent, excluding sites outside this extent. Wetland ecosystems and inland waters in cold regions without glaciers or permafrost were also excluded. Additionally, floodplain lakes connected with river channels were excluded, except for those barely connected with high-closure river channels, which were included as lake sites. Gas concentration data in permanently ice-covered water bodies were not included. We also collected auxiliary data on waterbody physical and chemical characteristics, climate, and land cover to the extent possible.</p> <p>The dataset was divided into two separate files: CryoLake.xlsx and CryoRiver.xlsx. CryoLake.xlsx contained data on lakes, ponds, and reservoirs, while CryoRiver.xlsx contained data on rivers and streams. Each file consisted of four sub-tables: source table (data sources), sites table (sites information), concentration table (concentration data), and flux table (flux data). All sub-tables were linked using unique source IDs, and the sites, concentration, and flux tables were further linked using unique site IDs. The temporal resolution varied, with daily data being the shortest resolution. Sub-daily measurements were averaged to daily data, and data reported in monthly, seasonal, and annual scales were also included. Considering the difficulty in obtaining cryosphere-related GHG data, we included all available data. The spatial resolution primarily focused on the plot scale, although aggregated sites were also included. Detailed spatiotemporal information of the measured data was recorded in the data table for further analysis. Due to regional heterogeneity, we did not have a uniform standard for dividing seasons. Instead, seasons were assigned based on the site descriptions provided in each study.</p> <p>The R script file is the multilevel bootstrap method used for Inland water greenhouse gas emissions upscaling. The ziped file contains bootstrap results for further calculating zonal and monthly GHG emissions.</p>
Fig. 16. Oxyurella singalensis parthenogenic female. A in Taxonomy and distribution of four Cladoceran families (Branchiopoda: Cladocera: Moinidae, Bosminidae, Chydoridae and Sididae) in Philippine inland waters
Fig. 16. Oxyurella singalensis parthenogenic female. A, Habitus; B, Antennae; C, Post abdomen.
Fig. 12. Alona pulchella parthenogenic female. A in Taxonomy and distribution of four Cladoceran families (Branchiopoda: Cladocera: Moinidae, Bosminidae, Chydoridae and Sididae) in Philippine inland waters
Fig. 12. Alona pulchella parthenogenic female. A, habitus; B, antennae; C, post abdomen.
Fig. 9. Ephemeroporus barroisi parthenogenic female. A in Taxonomy and distribution of four Cladoceran families (Branchiopoda: Cladocera: Moinidae, Bosminidae, Chydoridae and Sididae) in Philippine inland waters
Fig. 9. Ephemeroporus barroisi parthenogenic female. A, habitus; B, labrum; C, post abdomen.
Fig. 10 in Taxonomy and distribution of four Cladoceran families (Branchiopoda: Cladocera: Moinidae, Bosminidae, Chydoridae and Sididae) in Philippine inland waters
Fig. 10. Scanning electron micrographs of Ephemeroporus barriosi. A, habitus; B, antennae.
Fig. 28 in Taxonomy and distribution of four Cladoceran families (Branchiopoda: Cladocera: Moinidae, Bosminidae, Chydoridae and Sididae) in Philippine inland waters
Fig. 28. Scanning electron micrographs of Diaphanosoma sarsi. A, habitus; B, antennule.
Data from: Detection of vertebrates from natural and artificial inland water bodies in a semi-arid habitat using eDNA from filtered, swept and sediment samples
<p>Climate warming will impact the sustainability of arid and semi-arid zone environments so we need to understand the influence of changes in arid lands on vertebrate populations. However, biomonitoring and biodiversity assessment in arid environments can be prohibitively time-consuming, expensive, and logistically challenging due to their often remote and inhospitable nature. Sampling of environmental DNA (eDNA) coupled with high-throughput sequencing is an emerging biodiversity assessment method. Here we explore the application of eDNA metabarcoding and various sampling approaches to estimate vertebrate richness and assemblage at human-constructed and natural water sources in a semi-arid region of Western Australia. Three sampling methods: sediment samples, filtering through a membrane with a pump, and membrane sweeping in the water body, were compared using two eDNA metabarcoding assays, 12S-V5 and 16smam, for 120 eDNA samples collected from four gnammas (gnamma: Australian Indigenous Noongar language term – granite rock pools) and four cattle troughs in the Great Western Woodlands, Western Australia. We detected higher vertebrate richness in samples from cattle troughs and found differences between assemblages detected in gnammas (more birds and amphibians) and cattle troughs (more mammals, including feral taxa). Total vertebrate richness was not different between swept and filtered samples, but all sampling methods yielded different assemblages. Our findings indicate that eDNA surveys in arid lands will benefit from collecting multiple samples at multiple water sources to avoid underestimating vertebrate richness. The high concentration of eDNA in small, isolated water bodies permits the use of sweep sampling which simplifies sample collection, processing, and storage, particularly when assessing vertebrate biodiversity across large spatial scales.</p>
Global methane and nitrous oxide emissions from inland waters and estuaries
<p><span>Inland waters (rivers, reservoirs, lakes, ponds, streams) and estuaries are globally significant emitters of methane (CH<sub>4</sub>) and nitrous oxide (N<sub>2</sub>O) to the atmosphere, while global estimates of these emissions have been hampered due to the lack of a worldwide comprehensive dataset with the collection of complete CH<sub>4</sub>and N<sub>2</sub>O flux components. Here, we synthesize 2,997<em> in-situ</em> flux or concentration measurements of CH<sub>4</sub> and N<sub>2</sub>O from 277 peer-reviewed publications to explore the role of inland waters and estuaries in shaping climate change. We estimate that inland waters including rivers, reservoirs, lakes, and streams together release 95.18 Tg CH<sub>4</sub> yr<sup>-1</sup> (ebullition plus diffusion) and 1.48 Tg N<sub>2</sub>O yr<sup>-1</sup> (diffusion) to the atmosphere, yielding an overall CO<sub>2</sub>-equivalent emission total of 3.06 Pg CO<sub>2</sub> yr<sup>-1</sup>, representing roughly 60% of CO<sub>2</sub> emissions (5.13 Pg CO<sub>2</sub> yr<sup>-1</sup>) from these four inland aquatic systems,</span> <span>among which lakes act as the largest emitter for both CH<sub>4</sub>and N<sub>2</sub>O. Ebullition is noticed as a dominant flux component of CH<sub>4</sub>, contributing up to 62–84% of total CH<sub>4</sub>fluxes across all inland waters. Chamber-derived CH<sub>4 </sub>emission rates are significantly greater than those determined by diffusion model-based methods for commonly capturing both diffusive and ebullitive fluxes. Water dissolved oxygen (</span><span>DO) showed as a dominant factor among all variables to influence both CH<sub>4</sub>(diffusive and ebullitive) and N<sub>2</sub>O fluxes from inland waters</span><span>. Our study reveals a major oversight in regional and global CH<sub>4</sub>budgets from inland waters, caused by neglect of the dominant role of ebullition pathways in those emissions. The indirect N<sub>2</sub>O EF<sub>5</sub> values established in this study generally suggest a downward revision is required in current IPCC default EF<sub>5</sub> values for inland waters and estuaries.</span><span> Our findings further indicate that a comprehensive understanding of the </span><span>magnitude and patterns of</span><span> CH<sub>4 </sub>and </span><span>N<sub>2</sub>O emissions</span> <span>from </span><span>inland waters and estuaries </span><span>is essential in defining how these aquatic systems will shape our climate.</span></p>
Reactivity, fate and functional roles of dissolved organic matter in anoxic inland waters
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Data from: Calcium carbonate and phosphorus interactions in inland waters
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Global methane and nitrous oxide emissions from inland waters and estuaries
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Regional and fine-scale local adaptation in salinity tolerance in Daphnia inhabiting contrasting clusters of inland saline waters
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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.