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7 results for “Specific surface area”
Datasets and code for Rapljenović et al. 2024: Adsorption of trace metals onto different plastics during long-term exposure in an estuarine environment: influence of time, stratified water column, and specific surface area
<p>This repository contains datasets and R code to reproduce results from Rapljenović et al. 2024: Adsorption of trace metals onto different plastics during long-term exposure in an estuarine environment: influence of time, stratified water column, and specific surface area.</p>
FP7 NanoValid: Report on an interlaboratory comparison on BET specific surface area of nanoparticulate TiO2 (Anatase)
<p>This Report describes an international inter-laboratory comparison covering 20 data sets aiming on the establishment of the used method (BET) as a reference method in the measurement of nanoparticles. Another purpose was the certification of the porous reference material #15 BAM <em>Titania</em> as CRM BAM-P110 (cf. NanoValid deliverable D 5.41/42). The certified values with combined uncertainty determined obtained by nitrogen adsorption at 77.3 K according to the international standards ISO 15901-2 and ISO 9277 are given in the report.</p> <p>The NanoValid nanomaterial reporting form for the shared nano-particulate Anatase TiO<sub>2</sub> sampleis added and delivers SEM, T-SEM, EDX, BET and XRD images or spectra.</p> <p>Information on the EU FP7 Project NanoValid <em>Development of reference methods for hazard identification, risk assessment and LCA of engineered nanomaterials</em> can found here: https://cordis.europa.eu/project/rcn/101043/factsheet/en</p> <p> </p>
SnowEx23 Oct22 Laser Snow Microstructure Specific Surface Area Low-snow V001
This data set reports vertical profiles of snow reflectance and specific surface area (SSA) collected in October 2022 as part of the NASA SnowEx 2023 Alaska field campaign. Measurements were taken from three snow pits located within the Upper Kuparuk Toolik (UKT) field site, a coastal tundra environment in the North Slope region of the northern Alaska coastal plain. Reflectance was measured in situ using a 1310 nm integrating sphere laser device (IceCube) and converted to SSA during data processing (Gallet et al., 2009). SSA data collected from the same study sites in October 2023 and March 2023 are available as <a href="https://doi.org/10.5067/BSEP59ADC6XN">SnowEx23 Laser Snow Microstructure Specific Surface Area Data, Version 1</a> and <a href="https://nsidc.org/data/snex23_ssa_so/versions/1">SnowEx23 Laser Snow Microstructure Specific Surface Area Snow-off Data, Version 1</a>.
SnowEx23 Laser Snow Microstructure Specific Surface Area Data V001
Preliminary: This data set reports vertical profiles of snow reflectance and specific surface area (SSA) in Alaska, USA, in two regions, the Fairbanks region characterized by spruce taiga forest and the arctic coast region characterized by coastal tundra. Reflectance was measured in situ using a 1310 nm and a 945 nm integrating sphere laser device and converted to SSA.
SnowEx17 Laser Snow Microstructure Specific Surface Area Data V001
This data set reports vertical profiles of snow reflectance, specific surface area (SSA), and optical equivalent diameter (grain size) at Grand Mesa, Colorado, USA, a snow-covered, forested study site about 40 miles east of the city of Grand Junction, CO. Reflectance was measured <em>in situ</em> using a 1310 nm integrating sphere laser device and converted to SSA and optical equivalent diameter.
SnowEx23 Laser Snow Microstructure Specific Surface Area Snow-off Data V001
This data set reports vertical profiles of snow reflectance and specific surface area (SSA) from two study sites in Alaska, USA collected as part of the NASA SnowEx 2023 field campaign. The study sites include a boreal forest environment in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, the Caribou Poker Creek watershed and Farmers Loop/Creamer’s Field), and a coastal tundra environment in the North Slope region of northern Alaska (the Arctic coastal plain and Upper Kuparuk Toolik). Reflectance was measured in situ using an A2 Photonic Sensor IceCube (1310 nm). Measured reflectance values were converted to SSA during data processing following the methods of Gallet et al., (2009). Snow-on SSA data from these same study sites were collected in March 2023 and are available as <a href="https://nsidc.org/data/snex23_ssa/versions/1">SnowEx23 Laser Snow Microstructure Specific Surface Area Data, Version 1</a>.
SnowEx20 Laser Snow Microstructure Specific Surface Area Data V001
This data set contains vertical profiles of snow reflectance, specific surface area (SSA), and spherical equivalent snow grain diameter. Data were collected during the SnowEx 2020 Grand Mesa, Colorado Intensive Observation Period between 27 January and 12 February 2020. Reflectance was measured at snow pits using one of two integrating sphere laser devices, IRIS (InfraRed IntegraXng Sphere) or IceCube. SSA and spherical equivalent diameter were then derived from reflectance.
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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.