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247 results for “inland water”
Supplementary material 1 from: Küçük F, Çi̇ftçi Y, Güçlü SS, Mutlu AG, Turan D (2023) Taxonomic review of the Chondrostoma (Teleostei, Leuciscidae) species from inland waters of Turkey: an integrative approach. Zoosystematics and Evolution 99(1): 1-13. https://doi.org/10.3897/zse.99.91275
Table S1
Figure 2. Two C in First photographic inland record of blacktip reef sharks Carcharhinus melanopterus (Carcharhiniformes: Carcharhinidae) in Indonesian waters
Figure 2. Two C. melanopterus caught by local people on 6 March 2019 in Sentani, Papua province, Indonesia (Photo: Gloria Setyvani Putri).
Pre SWOT Hydrology Global Lake/Reservoir Surface Inland Water Height GREALM V.2
The Global Lake/Reservoir Surface Inland Water Height Time Series is derived from the G-REALM10 lake level product https://ipad.fas.usda.gov/cropexplorer/global_reservoir/ The purpose of this dataset is to provide surface water dynamics for several hundred lakes and reservoirs across the globe. These time series potentially span a 25 year time period, from late 1992 to 2017, satisfying the project goal of ESDR creation with a suitable level of quality that supports long-term trend analysis and global water dynamics models. Water level variation is also a key component required for the determination of surface water storages and fluxes. This product is readily accessible and is of direct use to both water managers and the scientific community worldwide, and allows for improved assessment and modeling of the human impact on the global water cycle. These pre SWOT data are derived from satellites to provide hydrological measurements. The Surface Water and Ocean Topography (SWOT) mission will have hydrology as one of its objectives. This dataset does not have the same variables as SWOT, but does provide hydrological measurements with typical quality flagging typical of satellite data. Not only does it provide science information, it can also assist hydrological users new to satellite data with the satellite data formats and variables before SWOT launches.
Pre SWOT Hydrology Global Lake/Reservoir Surface Inland Water Area Extent V2
The Global Lake/Reservoir Surface Inland Water Extent Mask Time Series are derived from the MODIS instruments. The purpose of this dataset is to provide surface water dynamics for several hundred lakes and reservoirs throughout the globe, with a base temporal resolution of 8 days and a spatial resolution of 500 meters. With the exception of periods of low-quality input data, these time series will extend across the lifespan of the MODIS multispectral reflectance products, from roughly 2000 to present. These time series will allow us to satisfy the project goal to produce ESDRs of suitable quality to support long-term trend analysis and global water dynamics models for the longest length possible (in most cases, about 20 years, the length of the altimetry record) of key measures of surface water storages and fluxes. This product should be accessible and of direct use to both water managers and the scientific community worldwide, and will allow for improved assessment and modeling of human impact on the global water cycle. These pre SWOT data are derived from satellites to provide hydrological measurements. The Surface Water and Ocean Topography (SWOT) mission will have hydrology as one of its objectives. This dataset does not have the same variables as SWOT, but does provide hydrological measurements with typical quality flagging typical of satellite data. Not only does it provide science information, it can also assist hydrological users new to satellite data with the satellite data formats and variables before SWOT launches.
Figure 2 from: Vannevel R, Brosens D, De Cooman W, Gabriels W, Lavens F, Mertens J, Vervaeke B (2018) The inland water macro-invertebrate occurrences in Flanders, Belgium. ZooKeys 759: 117-136. https://doi.org/10.3897/zookeys.759.24810
Figure 2 The VMM monitoring network for surface water quality assessments.
Figure 5 from: Vannevel R, Brosens D, De Cooman W, Gabriels W, Lavens F, Mertens J, Vervaeke B (2018) The inland water macro-invertebrate occurrences in Flanders, Belgium. ZooKeys 759: 117-136. https://doi.org/10.3897/zookeys.759.24810
Figure 5 Sampling effort of the sediment quality network (number of samples per year).
Figure 4 from: Vannevel R, Brosens D, De Cooman W, Gabriels W, Lavens F, Mertens J, Vervaeke B (2018) The inland water macro-invertebrate occurrences in Flanders, Belgium. ZooKeys 759: 117-136. https://doi.org/10.3897/zookeys.759.24810
Figure 4 The VMM monitoring network for sediment quality assessments.
Figure 3 from: Vannevel R, Brosens D, De Cooman W, Gabriels W, Lavens F, Mertens J, Vervaeke B (2018) The inland water macro-invertebrate occurrences in Flanders, Belgium. ZooKeys 759: 117-136. https://doi.org/10.3897/zookeys.759.24810
Figure 3 Sampling effort of the water quality network (number of samples per year).
Figure 2 in An update note on diversity and conservation of the endemic fishes in Iranian inland waters
Figure 2. Endemicity of Iranian freshwater fishes based on family.
Figure 1 from: Brosens D, Breine J, Van Thuyne G, Belpaire C, Desmet P, Verreycken H (2015) VIS – A database on the distribution of fishes in inland and estuarine waters in Flanders, Belgium. ZooKeys 475: 119-145. https://doi.org/10.3897/zookeys.475.8556
Figure 1 - The logo of VIS.
Figure 9 from: Brosens D, Breine J, Van Thuyne G, Belpaire C, Desmet P, Verreycken H (2015) VIS – A database on the distribution of fishes in inland and estuarine waters in Flanders, Belgium. ZooKeys 475: 119-145. https://doi.org/10.3897/zookeys.475.8556
Figure 9 - Preview of the Darwin Core SQL view of the inland waters dataset.
Data from: Effects of land use, topography, climate and socio-economic factors on geographical variation pattern of inland surface water quality in China
Open the record for dataset details and reuse information.
FIGURE 1 in Morphological and mtDNA data reveal broader distribution of Alburnoides holciki (Teleostei: Leuciscidae) in inland waters of Central Asia
FIGURE 1. Map of sampling sites of Alburnoides holciki in the Amu Darya basin (green circles 1 to 10), and records of A. holciki in the Hari River basin (red circles—11 and 12, based on Coad & Bogutskaya 2012).
ATLAS/ICESat-2 L3B Mean Inland Surface Water Data V003
ATL22 is a derivative of the continuous Level 3A ATL13 Along Track Inland Surface Water Data product. ATL13 contains the high-resolution, along-track inland water surface profiles derived from analysis of the geolocated photon clouds from the ATL03 product. Starting from ATL13, ATL22 computes the mean surface water quantities with no additional photon analysis. The two data products, ATL22 and ATL13, can be used in conjunction as they include the same orbit and water body nomenclature independent from version numbers.
Merged Sentinel-3A and Sentinel-3B OLCI Regional Mapped Inland Waters (ILW) Data, version 4
The Inland Waters dataset (ILW) provides data for lakes and other water bodies across the contiguous United States (CONUS) and Alaska. ILW significantly reduces the processing effort required by end users and is a standardized community resource for lake and reservoir algorithm development and performance assessment.The data is provided for 15,450 CONUS waterbodies with a size of at least one 300 m pixel and over 2,300 resolvable lakes with sizes greater than three 300 m pixels. Alaska has 5,874 lakes resolvable lakes. ILW is a times series containing 10 years of MERIS (2002-2012) and OLCI from both Sentinel-3a (2016-present) and Sentinel-3b (2018-present).
Sentinel-3A OLCI Regional Binned Inland Waters (ILW) Data, version 4
The Inland Waters dataset (ILW) provides data for lakes and other water bodies across the contiguous United States (CONUS) and Alaska. ILW significantly reduces the processing effort required by end users and is a standardized community resource for lake and reservoir algorithm development and performance assessment. The data is provided for 15,450 CONUS waterbodies with a size of at least one 300 m pixel and over 2,300 resolvable lakes with sizes greater than three 300 m pixels. Alaska has 5,874 lakes resolvable lakes. ILW was developed in collaboration with the Cyanobacteria Assessment Network (CyAN). Additional inland water details and resources, including maps of resolvable lakes and additional inland water products, such as true color imagery, are available at the CyAN site.
Sentinel-3B OLCI Inland Waters (ILW) Data, version 4
The Inland Waters dataset (ILW) provides data for lakes and other water bodies across the contiguous United States (CONUS) and Alaska. ILW significantly reduces the processing effort required by end users and is a standardized community resource for lake and reservoir algorithm development and performance assessment. The data is provided for 15,450 CONUS waterbodies with a size of at least one 300 m pixel and over 2,300 resolvable lakes with sizes greater than three 300 m pixels. Alaska has 5,874 lakes resolvable lakes. ILW was developed in collaboration with the Cyanobacteria Assessment Network (CyAN). Additional inland water details and resources, including maps of resolvable lakes and additional inland water products, such as true color imagery, are available at the CyAN site.
Sentinel-3B OLCI Regional Binned Inland Waters (ILW) Data, version 4
The Inland Waters dataset (ILW) provides data for lakes and other water bodies across the contiguous United States (CONUS) and Alaska. ILW significantly reduces the processing effort required by end users and is a standardized community resource for lake and reservoir algorithm development and performance assessment. The data is provided for 15,450 CONUS waterbodies with a size of at least one 300 m pixel and over 2,300 resolvable lakes with sizes greater than three 300 m pixels. Alaska has 5,874 lakes resolvable lakes. ILW was developed in collaboration with the Cyanobacteria Assessment Network (CyAN). Additional inland water details and resources, including maps of resolvable lakes and additional inland water products, such as true color imagery, are available at the CyAN site.
ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006
This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit).
Sentinel-3B OLCI Regional Mapped Inland Waters (ILW) Data, version 4
The Inland Waters dataset (ILW) provides data for lakes and other water bodies across the contiguous United States (CONUS) and Alaska. ILW significantly reduces the processing effort required by end users and is a standardized community resource for lake and reservoir algorithm development and performance assessment. The data is provided for 15,450 CONUS waterbodies with a size of at least one 300 m pixel and over 2,300 resolvable lakes with sizes greater than three 300 m pixels. Alaska has 5,874 lakes resolvable lakes. ILW was developed in collaboration with the Cyanobacteria Assessment Network (CyAN). Additional inland water details and resources, including maps of resolvable lakes and additional inland water products, such as true color imagery, are available at the CyAN site.
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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.