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1,509 results for “Calibrations”

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nasa24/100

OCO-3 Level 1B calibrated, geolocated science spectra, Forward Processing V10 (OCO3_L1B_Science) at GES DISC

Version 10 is the current version of the data set. Older versions will no longer be available and are superseded by Version 10. The Orbiting Carbon Observatory -3 (OCO-3) was deployed to the International Space Station in May, 2019. It is technically a single instrument, almost identical to OCO-2. The Orbiting Carbon Observatory is the first NASA mission designed to collect space-based measurements of atmospheric carbon dioxide with the precision, resolution, and coverage needed to characterize the processes controlling its buildup in the atmosphere. OCO-3 incorporates three high-resolution spectrometers that make coincident measurements of reflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and in molecular oxygen (O2) A-Band at 0.76 micrometers. The three spectrometers have different characteristics and are calibrated independently. Oxygen-A Band cloud screening algorithm is one of the primary cloud screening tools implemented in the operational OCO processing pipeline. The algorithm was introduced and applied to early GOSAT data with further analysis performed on OCO-2 simulations. The OCO ABO2 algorithm employs a fast Bayesian retrieval to estimate surface pressure and surface albedo from high resolution spectra of the molecular oxygen (O2) A-band, near 0.765 µm. The radiative transfer forward model (FM) assumes a clear-sky condition, i.e. Rayleigh scattering only, such that differences between the modeled and measured radiances are apparent when the measurement scene contains cloud or aerosol.

restrictednotspecifiedApr 2025View details →
nasa24/100

OCO-2 Level 1A collated, parsed, calibration data V11.2 (OCO2_L1aIn_Pixel) at GES DISC

Version 11.2 is the current version of the data set. Older versions will no longer be available and are superseded by Version 11.2. The Orbiting Carbon Observatory is the first NASA mission designed to collect space-based measurements of atmospheric carbon dioxide with the precision, resolution, and coverage needed to characterize the processes controlling its buildup in the atmosphere. The OCO-2 project uses the LEOStar-2 spacecraft that carries a single instrument. It incorporates three high-resolution spectrometers that make coincident measurements of reflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and in molecular oxygen (O2) A-Band at 0.76 micrometers. The three spectrometers have different characteristics and are calibrated independently. Their raw data numbers (DN) are delivered correlated in time to the Level 1B process as Level 1A products. Each band has 1016 spectral elements, although some are masked out in the L2 retrieval.This product is the input to the Level 1B process. It is depacketized raw data formatted into a standard granularity with calibrated engineering data (for both science and calibration observations), in the Single-pixel Mode of operation.

restrictednotspecifiedMar 2025View details →
nasa24/100

MODIS/Terra Near Real Time (NRT) Level 1B Subsampled Calibrated Radiance 5Km

This Near Real Time (NRT) data type (MOD02SSH) is a subsample from the MODIS Level 1B 1-km data. Every fifth pixel is taken from the MOD021KM product and written out to MOD02SSH. The subsampling starts at the third frame, and at the third line. Here, "frame" and "line" are naming conventions for pixels along and across the scan, respectively. Since MOD02SSH is a subsampled Level 1B , many things from the Level 1B documentation apply as well. That is, the MOD02SSH data productcontains calibrated and geolocated at-aperture radiances for 36 bands generated from MODIS Level 1A scans of raw radiance (MOD 01). The radiance units are in W/(m ^2 um sr). Additional data are provided including quality flags, error estimates and calibration data. Visible, shortwave infrared (SWIR), and Near Infrared (NIR) measurements are made during daytime only, while radiances for Thermal Infrared (TIR) are measured continuously.As it's parent, the MOD02SSH is in HDF-EOS format, and all metadata structures and names are preserved for better convenience. However, some relevant changes are made where appropriate. E.g. the dimension mappings are updated to reflect the new one-to-one correspondance between the data and geolocations. The latter is one of the most important differences: in the MOD02SSH, there is no offset between data and geolocation pixels. The spatial coverage is almost similar to that from MOD021KM (nominally it is 2330 by 2030 km, cross-track by along-track, respectively). The MOD02SSH is produced continuously, and thus the processing provides 2-day repeat observations of the Earth with a repeat orbitpattern every 16 days.The shortname for this product is MOD02SSH

restrictednotspecifiedMay 2025View details →
nasa24/100

Full Resolution Full Swath Geolocated and Calibrated TOA Radiance

The Medium Resolution Imaging Spectrometer (MERIS) is one of 10 sensors deployed in March of 2002 on board the polar-orbiting Envisat-1 environmental research satellite by the European Space Agency (ESA). The MERIS instrument is a moderate-resolution wide field-of-view push-broom imaging spectroradiometer capable of sensing in the 390 nm to 1040 nm spectral range. Being a programmable instrument, it had the unique capability of selectively adjusting the width and location of its 15 bands through ground command. The instrument has a 68.5-degree field of view and a swath width of 1150 meters, providing a global coverage every 3 days at 300 m resolution. Communication with the Envisat-1 satellite was lost suddenly on the 8th of April, 2012, just weeks after celebrating its 10th year in orbit. All attempts to re-establish contact were unsuccessful, and the end of the mission was declared on May 9th, 2012.The 4th reprocessing cycle, in 2020, has produced both the full-resolution and reduced-resolution L1 and L2 MERIS products. EN1_MDSI_MER_FRS_1P is the short-name for the MERIS Level-1 full resolution, full swath, geolocated and calibrated top-of-atmosphere (TOA) radiance product. This product contains the TOA upwelling spectral radiance measurements. The in-band reference irradiances for the 15 MERIS bands are computed by averaging the in-band solar irradiance for each pixel. Each pixel’s in-band solar irradiance is computed by integrating the reference solar spectrum with the band-pass of each pixel. The Level-1 product contains 22 data files: 15 files contain radiances for each band (one band per file) along with associated error estimates, and 7 annotation data files. It also includes a Manifest file that provides metadata information describing the product.

restrictednotspecifiedApr 2025View details →
nasa24/100

AIRS/Aqua L1B Calibration subset V005 (AIRXBCAL) at GES DISC

The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. AIRS/Aqua Level-1B calibration subset including clear cases, special calibration sites, random nadir spots, and high clouds. The AIRS Visible/Near Infrared (VIS/NIR) level 1B data set contains AIRS visible and near-infrared calibrated and geolocated radiances in W/m^2/micron/steradian. This data set is generated from AIRS level 1A digital numbers (DN), including 4 channels in the 0.4 to 1.0 um region of the spectrum.

restrictednotspecifiedApr 2025View details →
nasa24/100

CEOS Cal Val Test Site - Algeria 5 - Pseudo-Invariant Calibration Site (PICS)

On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Pseudo-Invariant Calibration Sites (PICS): Algeria 5 is one of six CEOS reference Pseudo-Invariant Calibration Sites (PICS) that are CEOS Reference Test Sites. Besides the nominally good site characteristics (temporal stability, uniformity, homogeneity, etc.), these six PICS were selected by also taking into account their heritage and the large number of datasets from multiple instruments that already existed in the EO archives and the long history of characterization performed over these sites. The PICS have high reflectance and are usually made up of sand dunes with climatologically low aerosol loading and practically no vegetation. Consequently, these PICS can be used to evaluate the long-term stability of instrument and facilitate inter-comparison of multiple instruments.

restrictednotspecifiedApr 2025View details →
geo20/100

Calibrated Smc3 ChIP-seq for wild type, eco1-aa, wpl1-delta and eco1-aa wpl1-delta strains arrested in meiotic prophase I

GEO Series GSE185019. Saccharomyces cerevisiae. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenFeb 2022View details →
geo20/100

Calibrated Scc1 ChIP-seq for wild type and rad61Δ strains arrested in metaphase with and without tension

GEO Series GSE128225. Saccharomyces cerevisiae; Schizosaccharomyces pombe. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJan 2020View details →
geo20/100

Epithelial Gab1 calibrates RIPK3-dependent necroptosis to prevent intestinal inflammation

GEO Series GSE206868. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2023View details →
geo20/100

Quantitative multiplexed ChIP-Seq (MINUTE-ChIP) Calibration Experiment

GEO Series GSE133056. Mus musculus. 40 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJun 2019View details →
geo20/100

Calibrated Smc3 ChIP-seq for wild type, smc3-2R, wpl1Δ and smc3-2R wpl1Δ strains arrested in meiotic prophase I

GEO Series GSE185020. Saccharomyces cerevisiae. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenFeb 2022View details →
geo20/100

Systematic calibration of epitranscriptomic atlas using a synthetic modification-free RNA library

GEO Series GSE151028. Homo sapiens; Mus musculus. 89 samples. Type: Expression profiling by high throughput sequencing; Other; Methylation profiling by high throughput sequencing.

openGEO-OpenAug 2021View details →
geo20/100

Calibrated ChIP-seq for meiotic-specific cohesin (Rec8) and mitotic-specific cohesin (Scc1) in budding yeast cells arrested in metaphase of mitosis

GEO Series GSE141598. Saccharomyces cerevisiae. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenFeb 2020View details →
geo20/100

Calibrated Scc1 ChIP-seq for wild type and chl4Δ strains arrested in metaphase with and without tension

GEO Series GSE128238. Schizosaccharomyces pombe; Saccharomyces cerevisiae. 10 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJan 2020View details →
geo20/100

Calibrated Scc1, Sgo1 and Brn1 ChIP-seq in metaphase with and without tension, in strains where convergent genes at pericentromere borderes are rearranged into a tandem orientation

GEO Series GSE128227. Schizosaccharomyces pombe; Saccharomyces cerevisiae. 12 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJan 2020View details →
geo20/100

Calibrated Sgo1 and Brn1 ChIP-seq for wild type strains arrested in metaphase without tension

GEO Series GSE128236. Schizosaccharomyces pombe; Saccharomyces cerevisiae. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJan 2020View details →
geo20/100

Biological chromodynamics: a general method for measuring protein occupancy across the genome by calibrating ChIP-seq

GEO Series GSE69907. Nakaseomyces glabratus; Saccharomyces cerevisiae. 62 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJul 2015View details →
geo20/100

Hi-C Calibration by Chemically Induced Chromosomal Interactions

GEO Series GSE283767. Saccharomyces cerevisiae. 52 samples. Type: Other.

openGEO-OpenDec 2024View details →
geo20/100

Direct calibration of PICKY-designed microarrays

GEO Series GSE14717. synthetic construct; Oryza sativa. 165 samples. Type: Other.

openGEO-OpenOct 2009View details →
geo20/100

Calibrating ChIP-seq with nucleosomal internal standards to measure histone modification density genome-wide

GEO Series GSE60378. Homo sapiens; Mus musculus; Drosophila melanogaster; synthetic construct. 27 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenMay 2015View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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