Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
17
datasets available to search
ShareScore release 0.9.0
Dataset results
17 results for “suspended solids”
Total suspended solids from river, lagoon, and open ocean sites along the Alaska Beaufort Sea coast, 2022-ongoing
Multiple water types (river, lagoon, ocean) from the North Slope of Alaska and nearshore Beaufort Sea are sampled seasonally by the Beaufort Lagoon Ecosystems LTER (BLE LTER) Core Program to investigate biogeochemical linkages between terrestrial, lagoon, and open ocean ecosystems. Water samples from multiple depths are collected during full ice cover (April), ice break-up (mid-June to early July), and open water (late July and August) periods for quantification of total suspended solids and total organic suspended solids. Concentrations are reported in milligrams per liter of filtered seawater (mg/L).
AquaMatch Total Suspended Solids from Water Quality Portal ~1970-2025
This dataset, “AquaMatch Total Suspended Solids Data from Water Quality Portal ~1970-2025”, is a component of a forthcoming update to AquaSat (Ross et al., 2019), AquaSat version 2 (“V2”). The overarching purpose of AquaSat V2 is to emphasize the individual parts of the AquaSat pipeline that make up the matchups between satellite and in-situ measurements. As such, we have greatly expanded and improved upon the AquaSat Total Suspended Solids ("TSS") dataset in two ways: First, we have incorporated additional recent in situ data beyond what was available at the publication of AquaSat. Second, we have created a data quality tiering system to provide end-users with more guidance on data usage. In this schema we have three tiers: restrictive data that are verifiably self-similar across organizations and time-periods and can be considered highly reliable; narrowed data that we have good reason to believe are self-similar, but for which we cannot verify full compatibility across data providers; and inclusive data, which are assumed to be reliable and are harmonized to our best ability given the information available from the data provider. We have also added flag columns to help users understand complexities of the available depth and field sampling data This dataset is a derived data product created using records downloaded from the Water Quality Portal (WQP) spanning January 10, 1970, to April 9, 2025 from the conterminous US, Alaska, Hawaii, American Samoa, Puerto Rico, United States Virgin Islands, Guam, and Commonwealth of the Northern Mariana Islands. It contains 335,099 records from locations classified as estuaries; 411,979 records from locations classified as lakes, reservoirs, and impoundments; and 3,858,957 records from locations classified as streams. The WQP is a data warehouse for water-related data measured or observed within the United States and US Territories managed by the Environmental Protection Agency, United States Geological Survey, and the National
Stream sampling for total suspended solids (TSS), volatile suspended solids (VSS), and chemistry during storm events at the Coweeta LTER intensive and hillslope sites in Macon County, NC.
Stream storm samples were collected at 21 streams and rivers in Macon County, NC. Nine intensive sites were monitored in 2010-2011, nine hillslope sites were monitored in 2012-2013, and three river sites were monitored from 2010-2013. An ISCO water sampler was used to collect stream water samples during storm events. Water samples were analyzed at the Coweeta Analytical Lab.
Fig. 3 in Spatial Distribution of Suspended Solids During Short-Term High River Discharge in the Bay of Koper, Northern Adriatic Sea
Fig. 3: Rižana and Badaševica river hourly (QR and QB) and daily mean (Qr and Qb) discharge with related inflow concentrations of ISS (ISS and ISS) (a). Density profile (b) and wind direction and velocity applied (average wind velocity of 1.5 m s-1 221°) during the r b high-discharge event 21st June 2013 (c) (ARSO, 2014a).
Fig. 8 in Spatial Distribution of Suspended Solids During Short-Term High River Discharge in the Bay of Koper, Northern Adriatic Sea
Fig. 8: Salinity and ISS profiles after 24-hour simulation at comparison sites (P1- right, P2-center and P3-left); the event on 21st June 2013.
Fig. 4 in Spatial Distribution of Suspended Solids During Short-Term High River Discharge in the Bay of Koper, Northern Adriatic Sea
Fig. 4: ISS distribution in the surface layer on 8th June 2011: measurements (a) and model simulation – average velocities and ISS distribution (b). Spatial map of discrepancies between model and measurements (c) and ranging of cells with regard to discrepancies (d); ΔMIN and ΔMAX depict minimum and maximum discrepancy, respectively.
Fig. 7 in Spatial Distribution of Suspended Solids During Short-Term High River Discharge in the Bay of Koper, Northern Adriatic Sea
Fig. 7: ISS distribution in the surface layer on 21st June 2013: measurements (a) and model simulation – average velocities and ISS distribution (b). Spatial map of discrepancies between model and measurements (c) and ranging of cells with regard to discrepancies (d); ΔMIN and ΔMAX depict minimum and maximum discrepancy, respectively.
Fig. 2 in Spatial Distribution of Suspended Solids During Short-Term High River Discharge in the Bay of Koper, Northern Adriatic Sea
Fig. 2: Rižana and Badaševica river hourly (QR and QB) and daily mean (Qr and Qb) discharge with related inflow concentrations of ISS (ISS and ISS) (a). Density profile (b) and wind direction and velocity applied (average wind velocity of 1.7 m s-1 188°) during r b the high-discharge event 8th June 2011 (c) (ARSO, 2014a).
Fig. 6 in Spatial Distribution of Suspended Solids During Short-Term High River Discharge in the Bay of Koper, Northern Adriatic Sea
Fig. 6: Salinity and ISS profiles after 24-hour simulation at the comparison sites (P1- right, P2-center and P3-left); the event on 8th June 2011.
Fig. 5 in Spatial Distribution of Suspended Solids During Short-Term High River Discharge in the Bay of Koper, Northern Adriatic Sea
Fig. 5: Velocity profile at comparison site 2 after a 24-hour simulation on 8th June 2011.
Dataset - Influence of Total Suspended Solids on the Growth of the Sea Lettuce Ulva lactuca Integrated with the Pacific White Shrimp Litopenaeus vannamei in a Biofloc System
<p>Dataset with experimental results</p>
Fig. 1 in Spatial Distribution of Suspended Solids During Short-Term High River Discharge in the Bay of Koper, Northern Adriatic Sea
Fig. 1: Bay of Koper situated in the Gulf of Trieste (northern Adriatic Sea). The PCFLOW3D model grid in 40×40 m resolution with the related bathymetry. The rectangle depicts the area with three comparison profiles P1, P2 and P3. The dashed lines indicate the open boundaries.
Dataset -Production of the Macroalgae Ulva lactuca Integrated with the Shrimp Penaeus vannamei in a Biofloc System: Effect of Total Suspended Solids and Nutrient Concentrations
<p>Dataset with experimental results.</p>
Delta-X: Total Suspended Solids Concentration across MRD, LA, USA, 2021, Version 2
This dataset provides measurements of total suspended solids concentrations (TSS) of surface waters in the Atchafalaya River and Terrebonne Basins during the spring (2021-03-25 to 2021-04-22) and fall (2021-08-14 to 2021-09-24) field efforts by the Delta-X project. Field sampling was paused on August 25 and resumed on September 13, 2021, due to the landfall of Hurricane Ida on 2021-08-26 approximately 70 km east of the study site. Water quality changes caused by the hurricane were expected to be minimal. Samples were collected from ~0.5 m of surface in multiple channels of varying width (from a few meters to >100 m), near Delta-X intensive study sites, in open bays and lakes, and at few locations in the nearshore Gulf of Mexico. For each collection, the water sample volume was filtered, and the suspended particles retained on the filter were weighed after drying. The TSS concentration was calculated as the difference of the filter weight (before and after filtration) divided by the volume filtered.
Pre-Delta-X: AVIRIS-derived Total Suspended Solids Maps for MRD, LA, USA, 2015-2016
This dataset includes total suspended solids (TSS) at the water surface across the Atchafalaya and Terrebonne Basins in Southern Louisiana, USA, within the Mississippi River Delta (MRD) floodplain. AVIRIS-NG, the Next Generation Airborne Visible to Infrared Imaging Spectrometer, acquired data over the study area in 2015 and 2016. The remote imageries were combined with coincident field measurements to develop and validate spatially explicit estimates at 3.7-5.4 m resolution of the concentration (mg/L) of TSS.
Pre-Delta-X: Total Suspended Solids of Surface Water across MRD, LA, USA, 2015-2016
This dataset contains the total suspended solids (TSS) concentration of in situ water samples collected at selected sites across the Atchafalaya and Terrebonne Basins within the Mississippi River Delta (MRD) floodplain of coastal Louisiana, USA. The measurements were made during the Pre-Delta-X campaign in Spring 2015 and Fall 2016. The sampling sites spanned large and small channels at locations chosen to cover a representative range of suspended sediment concentrations from a variety of hydrodynamic and physical settings typically encountered across the basins. Water samples were collected by bottle just beneath the surface and stored on ice until filtering. The TSS concentration was calculated as the difference of the filter weight (before and after filtration) divided by the volume of sample filtered. Both TSS and in situ spectral reflectance measurements were collected at some sampling sites. Pre-Delta-X sampling focused on surface waters, where the TSS data are used as inputs for hydrodynamic models for sediment transport and to calibrate the model to convert AVIRIS-NG spectral reflectance measurements into TSS.
Monthly Chlorophyll-a and total suspended solids concentrations during August 2002 and July 2020 in the Pearl River Estuary, China
<p>Monthly Chlorophyll-a (Chl-a) and total suspended solids (TSS) concentrations during August 2002 and July 2020 in the Pearl River Estuary, China. Chl-a and TSS were retrieved based on a machine learning algorithm developed by <em>Ma et al.</em> [2022] using satellite imagery from MODerate-resolution Imaging Spectroradiometer (MODIS) onboard Aqua. </p> <p>Reference</p> <p>Ma, C., J. Zhao, B. Ai, S. Sun, and Z. Yang (2022), Machine Learning Based Long‐Term Water Quality in the Turbid Pearl River Estuary, China, <em>Journal of Geophysical Research: Oceans</em>, <em>127</em>(1).</p>
ScienceDex guides
Understand access before you commit
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.