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1,433 results for “mask”
VIIRS/NOAA21 Cloud Mask and Spectral Test Results 6-Min L2 Swath 750m
The National Oceanic and Atmospheric Administration (NOAA-21) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA Level-2 (L2) Cloud Mask (VIIRS/NOAA21 Cloud Mask and Spectral Test Results 6-Min L2 Swath 750m) product is one of four continuity products designed to sustain the long-term records of both Moderate Resolution Imaging Spectroradiometer (MODIS) and VIIRS heritages. CLDMSK_L2_VIIRS_NOAA21 is the short-name for the NOAA-21 VIIRS incarnation of the Cloud Mask continuity product derived from the MODIS-VIIRS cloud mask (MVCM) algorithm, which itself is based on the MODIS (MOD35) algorithm. The MVCM describes a continuity algorithm that is central to both MODIS data (from Terra and Aqua missions) and VIIRS data (from Suomi National Polar-orbiting Partnership (SNPP) and Joint Polar Satellite System missions). Please bear in mind that the term MVCM does not appear as an attribute within the product’s metadata. Implemented to consistently handle MODIS and VIIRS inputs, the NOAA-21 VIIRS collection-1 products use calibration-adjusted NASA VIIRS L1B as inputs. The nominal spatial resolution of the NOAA-21 VIIRS L2 Cloud mask is 750 meters. The L2 netCDF product is acquired and processed every 6 minutes.For more information consult Product Page at: https://cimss.ssec.wisc.edu/MVCM/
ECOSTRESS Swath Cloud Mask Instantaneous L2 Global 70 m V002
The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found in figure 2 on the [ECOSTRESS website](https://ecostress.jpl.nasa.gov/science).The ECOSTRESS Swath Cloud Mask Instantaneous L2 Global 70 m (ECO_L2_CLOUD) Version 2 data product is derived using a single-channel Bayesian cloud threshold with a look-up-table (LUT) approach. The ECOSTRESS Level 2 cloud product provides a cloud mask that can be used to determine cloud cover for accurate land surface temperature and evapotranspiration estimation. The corresponding [ECO_L1B_GEO](https://doi.org/10.5067/ECOSTRESS/ECO_L1B_GEO.002) data product is required to georeference the ECO_L2_CLOUD data product. The ECO_L2_CLOUD Version 2 data product contains two cloud mask layers: Brightness temperature LUT test and Final cloud mask. Information on how to interpret the bit fields in the cloud mask is provided in Table 7 of the User Guide.Known Issues* Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4 and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023.* Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected.* Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods.* Solar Array Obstruction: Some ECOSTRESS scenes may be affected by solar array obstructions from the International Space Station (ISS), potentially impacting data quality of obstructed pixels. The 'FieldOfViewObstruction' metadata field is included in all Version 2 products to indicate possible obstructions: * Before October 24, 2024 (orbits prior to 35724): The field is present but was not populated and does not reliably identify affected scenes. * On or after October 24, 2024 (starting with orbit 35724): The field is populated and generally accurate, except for late December 2024, when a temporary processing error may have caused false positives. * A [list of scenes](https://lpdaac.usgs.gov/documents/2249/obst_all.sort.gz) confirmed to be affected by obstructions is available and is recommended for verifying historical data (before October 24, 2024) and scenes from late December 2024.* The ISS native pointing information is coarse relative to ECOSTRESS pixels, so ECOSTRESS geolocation is improved through image matching with a basemap. Metadata in the L1B_GEO file shows the success of this geolocation improvement, using categorizations "best", "good", "suspect", and "poor". We recommend that users use only "best" and "good" scenes for evaluations where geolocation is important (e.g., comparison to field sites). For some scenes, this metadata is not reflected in the higher-level products (e.g., land surface temperature, evapotranspiration, etc.). While this metadata is always available in the geolocation product, to save users additional download, we have produced a [summary text file](https://lpdaac.usgs.gov/documents/2253/qa_20250423-present.txt) that includes the geolocation quality flags for all scenes from launch to present. At a later date, all higher-level products will reflect the geolocation quality flag correctly (the field name is GeolocationAccuracyQA).Improvements/Changes from Previous Version* ECO_L2_CLOUD Version 2 data product algorithm has been revamped to have a more rigorous singl
ABoVE: AirSWOT Water Masks from Color-Infrared Imagery over Alaska and Canada, 2017
This dataset provides 1) a conservative open water mask for future water surface elevation (WSE) extraction from the co-registered AirSWOT Ka-band interferometry data, and 2) high-resolution (1 m) water body distribution maps for water bodies greater than 40 m2 along the NASA Arctic-Boreal Vulnerability Experiment (ABoVE) foundational flight lines. The masks and maps were derived from georeferenced three-band orthomosaics generated from individual images collected during the flights and a semi-automated water classification algorithm based on the Normalized Difference Water Index (NDWI). In total, 3,167 km2 of open water were mapped from 23,380 km2 of flight lines spanning 23 degrees of latitude. Detected water body sizes range from 40 m2 to 15 km2. The image tiles were georeferenced using manually selected ground control points (GCPs). Comparison with manually digitized open water boundaries yields an overall open-water classification accuracy of 98.0%.
LBA-ECO LC-35 Landsat ETM+ Derived Active Fire Masks, Brazilian Amazon: 2001-2003
This data set provides active fire detection images and associated summary information derived from Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images for various locations in Brazilian Amazonia during 2001-2003. There are two image types: (1) GeoTiff images (masks) of active fire pixels, and (2) GeoTiff images (masks) of clustered active fire pixels where a distinct cluster identification number has been assigned to each individual group of contiguous active fire pixels. There are 122 GeoTiff format files of each type of fire mask; a total of 244 images. The spatial resolution of the fire mask images is 30 meters. ETM+ images were selected based on data quality, availability, as well as on the occurrence of vegetation fires.In addition to the two image types, there are also two types of fire pixel summary information provided in text files: (1) one file of active fire pixel summary information derived from the active fire pixel images, and (2) 122 files of clustered active fire pixel information derived from individual clustered fire pixel masks, each of which correspond to a clustered image.
SWOT Simulated Level 2 North America Continent KaRIn High Rate Water Mask Pixel Cloud Product Version 1.0
This dataset includes simulated water surface elevations that resemble the Ka-band Interferometer (KaRIn) measurements by the Surface Water and Ocean Topography (SWOT) mission. SWOT will provide a global coverage but this simulated subset focuses on the North America continent. The simulated SWOT KaRIN swaths span 128 km in the cross-swath direction with a 20-km nadir gap. The primary product contains the following: 1. Geolocated elevations (latitude, longitude, and height) 2. Classification mask (water/land flags, and water fraction) 3. Surface areas (projected pixel area on the ground) 4. Relevant data needed to compute and aggregate height and area uncertainties. Additional information includes: 1. Meta data (global instrument parameters) 2. Time varying parameters (TVP), which include sensor position, velocity, altitude, and time 3. Noise power estimates 4. Quality flags 5. Interferogram measurements (power and phase) and range and azimuth indices 6. Geophysical and crossover-calibration correction values. These additional fields are provided to improve the utility of the product and to facilitate generation of downstream products. Note that this is a simulated SWOT product and not suited for any scientific exploration.
Improving anti–CTLA-4 therapies through peptide masking and fragment crystallizable nonfucosylation: preclinical characterization of three novel antibodies
GEO Series GSE315417. Mus musculus. 105 samples. Type: Other.
Spatial transcriptomics reveals the pharmacological effects on tumors and TME structural heterogeneity under MASK vaccine treatment
GEO Series GSE248356. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.
A PD-1-targeted, receptor-masked IL-2 immunocytokine that engages IL-2Rα strengthens T cell-mediated anti-tumor therapies
GEO Series GSE250205. Mus musculus. 32 samples. Type: Expression profiling by high throughput sequencing; Other.
Ambient RNA analysis reveals misinterpreted and masked cell types in brain single-nuclei datasets
GEO Series GSE198951. Homo sapiens; Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing; Third-party reanalysis.
ADAR1 masks the cancer immunotherapeutic promise of ZBP1-driven necroptosis
GEO Series GSE184962. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
STARR-seq identifies chromatin masked enhancers in pluripotent mouse embryonic stem cells [single_cell_RNA-Seq]
GEO Series GSE143545. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
STARR-seq identifies chromatin masked enhancers in pluripotent mouse embryonic stem cells [RNA-Seq]
GEO Series GSE143543. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Non-circadian expression masking clock-driven weak transcription rhythms in U2OS cells
GEO Series GSE57891. Homo sapiens. 32 samples. Type: Expression profiling by array.
Auto-segmentation zip masks - eye, lens, patient
<p>Auto-segmentation zip masks - eye, lens, patient</p>
MATERIALS: Impact of face masks on voice radiation
<p>Speaker directivities of a HEAD acoustics HMS II.3 head and mouth simulator wearing different mouth and nose covers in the SOFA format, as "GeneralFIR" convention, as described in [1].</p> <p>[1] Poerschmann C., Luebeck T., & J.M. Arend (2020). "Impact of face masks on voice radiation". The Journal of the Acoustical Society of America 148(6) pp.3663-3670 (2020)</p> <p>________________________________________________________________________________________________________</p> <p><strong>Name convention:</strong></p> <p>Directivity_no_mask_ref: Reference measurement: HMS without a mask</p> <p>Directivity_mask1-6: all measured masks, according to the numeration below. All masks were measured two times indicated with "measurement2".</p> <p><strong>Medical masks:</strong><br> 1) Disposable Triple Layer Filter Dustproof Earloop Non Woven medical mask, (brandname: Arvin, Protection Class DS3)</p> <p><strong>Filtering facepiece respirators:</strong><br> 2) Three-dimensional respirator, Protection Class KN 95 (manufacturer: Suzhou Jinruida Protective Equipment Co, Inc.)<br> 3) MB 21 - fine dust respirator, Protection Class FFP 2 (manufacturer: MB Filter Products AB, Sävedalen, Sweden)</p> <p><strong>Cloth face coverings:</strong><br> 4) Microfibre scarf (manufacturer: Rose, material: 100\% polyester)<br> 5) Cloth Face Covering (manufacturer: Modeatelier Scharn, Engelskirchen, Germany)<br> 6) Hand-made cloth face covering: Double Layers cotton (manufacturer Stoffliebe, Gelsenkirchen, Germany)</p> <p>________________________________________________________________________________________________________</p> <p><strong>Contact:</strong><br> Christoph Pörschmann, Tim Lübeck, and Johannes M. Arend<br> TH Köln - University of Applied Sciences<br> Institute of Communications Engineering<br> Department of Acoustics and Audio Signal Processing<br> Betzdorfer Str. 2, D-50679 Cologne, Germany</p> <p><a href="http://www.th-koeln.de/personen/christoph.poerschmann/">https://www.th-koeln.de/personen/christoph.poerschmann/</a><br> <a href="https://www.th-koeln.de/personen/tim.luebeck/">https://www.th-koeln.de/personen/tim.luebeck/</a><br> <a href="https://www.th-koeln.de/personen/johannes.arend/">https://www.th-koeln.de/personen/johannes.arend/</a></p>
Guro People Zamble Society Ceremonial Mask
From the Guro People of Cote D' Ivoire. One of a kind, lost wax cast bronze with rich varied brown patina in the form of an elephant's head with oval ears, zigzag pattern at hair line, open slit eyes, notched line down center of face, arched twisted rope patterns, small tusks with wrapping around base, ringed trunk with open nostril. Source: Objaverse 1.0 / Sketchfab
Folk Art Dance Mask of Pedro de Alvarado
Folk Art Dance Mask of Pedro de Alvarado Purchased at Nim Po't, Antigua, Guatemala Scanned with an Artec Spider and processed in Artec Studio 16, Zbrush, Blender, and Xnormal Source: Objaverse 1.0 / Sketchfab
Abraham Lincoln Life Volks Mask
Smithsonian source data can be found [here](https://ids.si.edu/ids/media_view?id=3d_package:2b4a081a-9ea1-4b0c-b1c3-6f5389da3244) This media file is in the public domain (free of copyright restrictions). You can copy, modify, and distribute this work without contacting the Smithsonian. For more information and to review the 3D disclaimer, visit the Smithsonian's [Terms of Use](https://www.si.edu/Termsofuse) page. Abraham Lincoln Cast After: Leonard Wells Volk, 1828 - 1895 Sitter: Abraham Lincoln, 12 Feb 1809 - 15 Apr 1865 Medium: Plaster Dimensions: 14.6 x 21.6 x 23.5cm (5 3/4 x 8 1/2 x 9 1/4") Type: Sculpture Date: 1917 cast after 1860 original Credit Line: National Portrait Gallery, Smithsonian Institution; transfer from the National Museum of American History Object Number: NPG.71.24 EDAN-URL: edanmdm:npg_NPG.71.24 Source: Objaverse 1.0 / Sketchfab
Blush Training Dataset Masks
<p>A TAR archive comprising Gzip-compressed MRC files, each containing manually curated binary masks. Part of the training dataset of the inaugural Blush model. Each file is named in accordance with its corresponding EMDB entry ID.</p>
Masked AES fixed keys dataset 50k traces
<p>Masked AES-128 power traces with 49k samples.</p> <p>Files :</p> <p>- DL_MaskedAES_fixedkey_49000Samples_50000Traces.trs : trs file containing plaintexts, mask values and ciphertexts.</p> <p>- TRS_Reader.py : python script to read the trs file</p> <p>- real_values : Masked subbytes output values of the first round</p> <p>- timepoints : HW point of interests of each subbyte.</p> <p>- samples_points : Windowed version of the traces. 1k samples around the PoI of each subbyte.</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.