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Water quality monitoring program in Lake Michigan and Green Bay
Measurements taken in Lake Michigan and Green Bay in 2012 as part of a water quality monitoring program.
Use of the Operational Air Quality Monitor (AQM) for In-Flight Water Testing Project
<p>Currently, the Air Quality Monitor (AQM) on-board ISS provides specific information for a number of target compounds in the air. However, there is a significant subset of common target compounds between air and water.&nbsp; Naturally, the following question arises, &ldquo;Can the AQM be used for both air and water quality monitoring?&rdquo;&nbsp; Previous directorate-level IR&amp;D funding led to the development of a water sample introduction method for mass spectrometry using electro-thermal vaporization (ETV).&nbsp; This vaporization source allows analytes in water samples to enter the gas phase, where they can be analyzed using a variety of techniques.&nbsp; This project will focus on the integration of the ETV with a ground-based AQM.&nbsp; The capabilities of this integrated platform will be evaluated using a subset of toxicologically important compounds.</p><p>The ETV unit was constructed using two glass tubes and a nichrome ribbon powered by a programmable DC power supply (G W Instec, PSM-3004).&nbsp; The nichrome ribbon was threaded through two 3-mm wide, 1-cm-long slot cuts on the inner tube placed 1.5 cm past the inlet.&nbsp; The ribbon was held securely by compressing it between the inner tube and two halves of an outer glass tube.&nbsp; These halves were held together using a flexible metal clamp.&nbsp; Inside the inner tube the ribbon was slightly curved, and an indent (1 mm diameter) was made on its surface for depositing a measured liquid sample drop.&nbsp; The ribbon was positioned in the upper half of the inner tube in such a way that the edge of the ribbon faced the front (inlet) side of the ETV unit.&nbsp; Holes (1 mm diameter) were made on the outer and inner glass tubes for sample introduction and were aligned with the ribbon indent.</p><p>The viability of the ETV approach for the analysis of water analytes was demonstrated using a ground-based, laboratory scale analyzer (reference:&nbsp; Dwivedi, P. et al.&nbsp; &ldquo;Electro-Thermal Vaporization Direct Analysis in Real Time-Mass Spectrometry for Water Contaminant Analysis During Space Missions,&rdquo; Analytical Chemistry, 85, 9898-9906 (2013)).&nbsp; The work in this proposal will extend that effort and interface the ETV to a ground version of the current in-flight AQM.&nbsp; Liquid sample will be introduce via a pipet through the sample injection port and placed onto the nichrome ribbon heated to a set temperature by an external, programmable power supply.&nbsp; Upon vaporization of the water sample, the target analytes will be swept into the AQM Sample-In port using nitrogen carrier gas.&nbsp; A vapor-phase analysis can then be performed by the AQM to identify and quantify the target analytes in the water samples.&nbsp; Parameters to be optimized include water sample size, carrier gas sweep rate, and ribbon temperature.&nbsp; The operating parameters of the vapor-phase analysis performed by the AQM will also need to be modified for this type of sampling methodology.&nbsp; A simple two-position valve attached to the ETV and a diverter tube will allow for manual selection of either a water sample through the ETV or an air sample through the diverter tube.&nbsp; The primary objective of this effort is to evaluate the viability of the ETV with ground-based, flight hardware.&nbsp; A proof-of-concept unit capable of water and air analysis utilizing the ETV will be developed.&nbsp; The target water analytes to be used in this work will come from a list provided by the water SMEs in the Toxicology and Environmental Chemistry Laboratories at JSC.&nbsp; These analytes are commonly observed in the ground analysis of water samples from ISS.&nbsp; A preliminary engineering evaluation of this set-up could potentially be performed with the goal of formulating a viable plan of integrating the ETV to the control soft
Active Layer Monitoring, Arctic and Subarctic Canada, Version 6
This project involves measuring regional and site variability in maximum annual active layer development and vertical surface movement over permafrost, and monitoring sites over time in order to observe trends. The project records maximum thaw penetration, maximum heave and subsidence, late season snow depths, current depth of thaw, elevation, and soil properties. Some sites are twinned with soil- and air-temperature recording equipment.The project includes about 60 monitoring stations extending from Fort Simpson, Canada, in the upper Mackenzie River valley to the Beaufort Sea coast at North Head, Richards Island, Canada. Ten of the sites are part of the IPA's Circumpolar Active Layer Monitoring (CALM) Program. CALM site numbers are in parentheses after the site names: North Head (C3), Taglu (C4), Lousy Point (C5), Reindeer Depot (C7), Rengleng River (C8), Mountain River (C9), Norman Wells (C11), Ochre River (C13), Willowlake River (C14), and Fort Simpson (C15). See the CALM Program Web page for geographic coordinates and site history for all CALM sites.These data are the property of the people of Canada and the responsibility of the Geological Survey of Canada. If published, adequate acknowledgment is expected. Please contact F. M. Nixon regarding use of the data set or access to the extended data.
Advanced Rapid Imaging & Analysis for Monitoring Hazards (ARIA-MH) Project
<p> Develop a service-oriented hazard/disaster monitoring data system enabling both science and decision-support communities to monitor ground motion in areas of interest with InSAR and GPS.<br /> Enable high-volume and low-latency automatic generation of NASA Solid Earth science data products (InSAR and GPS) to support hazards monitoring.<br /> Enable improved understanding through visualization, mining, and cross-agency sharing of results.<br /> Enable interoperable discovery, access, and sharing of derived actionable products for hazards monitoring.<br /> &nbsp;</p>
Water Quality (WQ) monitoring program for Clear Lake, CA
Clear Lake is a large, shallow, hypereutrophic lake in Northern California, USA. Clear Lake is an important water resource for the surrounding community offering many cultural and recreational opportunities and provides drinking water for more than half of the region's population. Despite these many ecosystem services, Clear Lake suffers from Harmful Algal Blooms (HABs) of cyanobacteria. This project aims to understand the lake and watershed processes contributing to the negative impacts on the lake water quality and ecosystem health with a goal of rehabilitating the lake. The UC Davis Tahoe Environmental Research Center conducted a 5-year (2019-2023) water quality monitoring program collecting monitoring data to better understand the physical, chemical, and biological processes affecting lake quality. Data from this monitoring program are publicly available here (DOI of EDI data repository to be provided when available). This project is funded by the California Department of Fish and Wildlife through California State Assembly Bill 707 (2017), the California Natural Resources Agency, and the UC Davis Tahoe Environmental Research Center.In addition to this overarching project, we completed additional biological and optical measurements over a shorter 1.5-year time period (Jul 2021 - Oct 2022) with the goal of supporting Phytoplankton Community Composition (PCC) and Cyanobacteria genera differentiation algorithm development from remotely sensed hyperspectral measurements. Three of these sampling events were completed coincident to whole-lake hyperspectral images collected by the DESIS sensor. These additional data included High-Performance Liquid Chromatography (HPLC) phytoplankton pigment data and above-water spectroradiometry (SVC HR-1024i) measurements. This additional work was supported by a NASA Office of STEM Engagement (OSE) graduate student fellowship awarded to Samantha Sharp in 2020 (Grant Number 80NSSC20K1458).
GPM Ground Validation Snow Depth Monitoring System OLYMPEX V1
The GPM Ground Validation Snow Depth Monitoring System OLYMPEX dataset consists of snow depth, temperature, and relative humidity measurements which were collected using snow depth poles, time lapse cameras, temperature/relative humidity sensors, and manual snow surveys. This dataset was collected during the GPM Ground Validation Olympic Mountain Experiment (OLYMPEX) held on the Olympic Peninsula in the Pacific Northwest of the United States. The analyzed data files are available in netCDF-3 data format. The dataset includes the individual camera photos of snow poles taken hourly during the field campaign, provided as JPG images. There are up to 3 cameras/poles per study site location. In addition, a Microsoft Excel data file contains results of a manual snow survey taken on the specific days of the Airborne Snow Observatory OLYMPEX overflights. In total, measurements contained in this dataset extend from September 5, 2014 through August 20, 2016, but the primary field campaign data were collected during the fall 2015 to spring 2016 time period.
Atlas of Community-Based Monitoring in a Changing Arctic (Arctic CBM), Version 1
This atlas showcases Arctic communities actively involved in observing social and environmental change. It was designed to highlight the many community-based monitoring (CBM) and traditional knowledge (TK) initiatives across the circumpolar region.
Flight Crew Physiological Data for Crew State Monitoring
This physiological data was collected from pilot/copilot pairs in and out of a flight simulator. It was collected to train machine-learning models to aid in the detection of pilot attentive states. The benchmark training set is comprised of a set of controlled experiments collected in a non-flight environment, outside of a flight simulator. The test set (abbreviated LOFT = Line Oriented Flight Training) consists of a full flight (take off, flight, and landing) in a flight simulator. The pilots experienced distractions intended to induce one of the following three cognitive states: Channelized Attention (CA) is the state of being focused on one task to the exclusion of all others. This is induced in benchmarking by having the subjects play an engaging puzzle-based video game. Diverted Attention (DA) is the state of having one’s attention diverted by actions or thought processes associated with a decision. This is induced by having the subjects perform a display monitoring task. Periodically, a math problem showed up which had to be solved before returning to the monitoring task. Startle/Surprise (SS) is induced by having the subjects watch movie clips with jump scares. For each experiment, a pair of pilots (each with its own crew ID) was recorded over time and subjected to the CA, DA, or SS cognitive states. The training set contains three experiments (one for each state) in which the pilots experienced just one of the states. For example, in the experiment labelled CA, the pilots were either in a baseline state (no event) or the CA state. The test set contains a full flight simulation during which the pilots could experience any of the states (but never more than one at a time). Each sensor operated at a sample rate of 256 Hz. Please note that since this is physiological data from real people, there will be noise and artifacts in the data.
NARSTO EPA_SS_HOUSTON TEXAQS2000 Washburn Tunnel Air Quality Monitoring Data
The NARSTO_EPA_SS_HOUSTON_TEXAQS2000_WB_TUNNEL data contain gas and particle phase measurements collected in a tunnel in the Houston area during the summer of 2000. The primary objective of this study was to provide data for estimating vehicular emission factors and composition profiles as part of the TexAQS2000 program. Measurements were collected on each day from August 29, 2000 (Tuesday) through September 1, 2000 (Friday). Sampling was conducted during the 1200 - 1400 CDT and 1600 - 1800 CDT time periods each day. Measurements collected during the study included nitrogen oxides, carbon dioxide, carbon monoxide, ammonia, fine particulate matter (PM2.5), and individual hydrocarbon species.The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of particulate matter in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine particulate matter that can be used to support exposure and health effects studies.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.
NARSTO EPA Supersite (SS) Fresno, Beta Attenuation Monitors (BAM) Meteorological Data
NARSTO_EPA_SS_FRESNO_MET_DATA is North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Fresno, Beta Attenuation Monitors (BAM) Meteorological Data. This data set contains measurements taken from six meteorological instruments operated at the Fresno supersite from May 24, 2000 to December 31, 2006. The ambient temperature was measured by a Met One Instruments aspirated thermistor, Model 060A-2. The barometric pressure was measured by a Met One pressure transducer, Model 090D. The relative humidity was measured by a Met One aspirated thin film capacitor, Model 083V. The solar radiation was measured by a LI-COR Inc. pyranometer, Model LI-200SA. The wind speed was measured by a Met One Instruments 3-cup anemometer, Model 010-SC. The wind direction was measured by a Met One Instruments High-Sensitivity wind vane, Model 025-5C. All six instruments reported 5 minute samples.The Fresno Supersite is one of several Supersites established in urban areas within the United States by the EPA to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The site is located at 3425 First Street, approximately 1 km north of the downtown commercial district. First Street was a four-lane artery with moderate traffic levels. Commercial establishments, office buildings, churches, and schools were located north and south of the monitor. Medium-density single-family homes and some apartments were located in the blocks to the east and west of First Street. The Fresno Supersite began operation in May of 1999.The EPA PM Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address the following EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.
Phytoplankton Monitoring in the North Sea (PMNS)
Measurements made during 1993 and 1994 in the North Sea as part of Phytoplankton Monitoring in the North Sea (PMNS).
Processing and Distribution of Hyperspectral Radiometer Data from Ships of Opportunity for Monitoring Phytoplankton in the Ocean
Ocean-colour sensors mounted on satellites can view the entire ocean over a period of a few days. However, to calibrate these sensors and validate the data, satellite observations must be compared with accurate and reliable in situ measurements, collected at the ocean surface. There are many regions of the ocean where these in situ measurements are rarely collected. Ocean-colour sensors can be mounted on research vessels and ships of opportunity. In this project, an ocean-colour sensor (Seabird HyperSAS Solar Tracker) was mounted on a yacht that visits remote regions of the planet where few observations have been collected. This project aims to process this data to a level for use by the scientific community for scientific applications, such as satellite validation.
NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Texas Natural Resource Conservation Commission (TNRCC) continuous ambient monitoring stations (CAMS) Air Quality Data
NARSTO_EPA_HOUSTON_TEXAQS2000_CAMS_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Texas Natural Resource Conservation Commission (TNRCC) continuous ambient monitoring stations (CAMS) Air Quality Data. This data set contains 5-minute air quality measurements collected in Texas during August and September 2000 at 85 CAMS during TEXAQS2000. Measurements include carbon monoxide (CO), sulfur dioxide (SO2), nitrogen oxide (NO), nitrogen dioxide (NO2), oxides of nitrogen (NOx), total reactive nitrogen species (NOy), ozone, particulate matter (PM) 2.5 mass, hydrogen sulfide (H2S), wind speed, wind direction, maximum wind gust, air temperature, dewpoint temperature, humidity, precipitation, surface pressure, radiation, and visibility. CAMS are operated by the Texas Commission on Environmental Quality (TCEQ), local city or county governments, or private monitoring networks. Important monitoring site information: The site information data table in each of the 85 data files may not contain the latest TCEQ site information. A companion file site information spreadsheet (.csv) that lists data for all 85 sites is the latest TCEQ site information. The site information data tables in the 85 data files will not be updated. The 85 site spreadsheet companion document is the official source of site data, and this data is listed in the TEXAQS2000 CAMS guide document.NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.
Retrospective analysis of anthropogenic change in Midwest reservoirs: Integrating earth observing data with statewide reservoir monitoring programs
The dataset comprises in-situ hyperspectral data acquired using the on-water approach (aka skylight-blocked approach), using a combination of a downwelling irradiance sensor and an upwelling radiance sensor. These sensors are specifically TriOS RAMSES hyperspectral radiometers, each associated with two calibration files. The data collection was conducted across different reservoirs in the state of Missouri USA. This NASA-funded project directly addresses how Earth-observing satellite data can better inform critical links between the biogeochemical and optical properties of inland waters. It achieves this by using satellite imagery and in-situ measurements from two long-running water quality monitoring programs in the state of Missouri that annually record more than one thousand measurements of nitrogen, phosphorus, chlorophyll-a, Secchi depth, particulate organic and inorganic matter, and cyanotoxins across 100 reservoirs.
BeXRB Monitor Data
This is a monitor using data from Swift/BAT, MAXI and Fermi/GBM instruments. Click on the table header to change the sorting behaviour. Color code for the probability: (rising flux , no change, decreasing flux) The average flux is calculated as the average of the last 3 days of data, without taking the errors into account. The fermi flux is not given in mCrab. Please note that the accuracy of the probabilities is limited by the accuracy of the data used. Release of Friday, the 17th of October 2014 Last updated at 14:04:07 UT Created as an ESAC trainee project by Eva Laplace. Supervisors: Peter Kretschmar, Emilio Salazar and Miguel Arregui. Contact: peter.kretschmar@esa.int
UARS Particle Environment Monitor (PEM) Level 3AT V004 (UARPE3AT) at GES DISC
The Particle Environment Monitor (PEM) Level 3AT data product consists of daily, 65.536 second interval time-ordered, vertical profiles of electron, proton and x-ray energy deposition rates. PEM was made up of four instruments: the Atmospheric X-Ray Imaging Spectrometer (AXIS), the High Energy Particle Spectrometer (HEPS), the Medium Energy Spectrometer (MEPS), and the Vector Magnetometer (VMAG). PEM was flown on NASA's Upper Atmosphere Research Satellite (UARS) to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere. The PEM electron and proton data are processed with the version 4 algorithm, while the x-ray data remained version 3. The PEM level 3AT data consist of 18 granules per day. A data granule is defined as one PEM subtype per day. The x-ray pixel subtypes are grouped together in a single tar file for each day, the electron and proton are available as individual files per day. Data are on the UARS standard altitude levels (in km) given by: z(i) = 5 * i, i <= 12 z(i) = 60 + (i - 12) * 3, 13 <= i <= 32 z(i) = 120 + (i - 32) * 10, 33 <= i <= 50 The data files are available in a binary record oriented format.
NARSTO Pacific 2001 Air Quality Study (PAC2001) Greater Vancouver Regional District (GVRD) and and Canadian Air and Precipitation Monitoring Network (CAPMoN) Supplemental Air Quality Data
NARSTO_PAC2001_GVRD_CAPMON_AIR_QUAL_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Pacific 2001 Air Quality Study (PAC2001) Greater Vancouver Regional District (GVRD) and and Canadian Air and Precipitation Monitoring Network (CAPMoN) Supplemental Air Quality Data product. Data was obtained from January 1, 2001 to January 1, 2002. Air quality monitoring data routinely collect by the GVRD CAPMoN during the sampling period of PAC2001, are included as supplemental data for PAC2001.The GVRD monitoring network of 20 sites continued operation during the PAC2001 field study period, with enhanced quality assurance (QA) and quality control (QC) activities. At all sites, meteorological measurements were carried out at a 5-min time resolution. At a few specially equipped sites, particle mass PM10 were measured using tapered element oscillating microbalances (TEOMs). The network data complements the special study sites and form a spatial distribution of the pollutants. CAPMoN is a non-urban air quality monitoring network with siting criteria designed to ensure that the measurement locations are regionally representative (not affected by local sources of air pollution).The objectives were to determine the spatial patterns and establish the temporal trends of pollutants related to acid rain; provide for long-range transport model evaluations and effects research (aquatic, terrestrial, building materials and health); ensure the compatibility of federal, provincial and U.S. measurements; and study atmospheric processes. Scientists involved with the measurement of atmospheric pollution in urban centers would consider most CAPMoN sites to be remote and pristine. There are currently 19 measurement sites in Canada and 1 in the U.S. The Saturna Island site is located in the PAC2001 area of interest. PAC2001 was conducted from 1 August to 31 September 2001 in the Lower Fraser Valley (LFV), British Columbia, Canada. The study consisted of individual research projects organized to address several issues on ambient particulate matter and ozone that are important to policy makers. A special issue of Atmospheric Environment [Vol. 38(34), Nov 2004] described specific study objectives (Li, 2004) and presented a series of results papers from the field study. The ground sampling sites during the study were (1) Cassiar Tunnel, (2) Slocan Park, (3) Langley Ecole Lochiel, (4) Sumas Eagle Ridge, and (5) Golden Ears Provincial Park. Aloft measurements were taken from a Convair 580 and a Cessna 188. Selected measurement data were compiled for each site and aircraft and are archived as site-specific data sets.North American Research Strategy for Tropospheric Ozone (NARSTO), which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.
UARS Solar Ultraviolet Spectral Irradiance Monitor (SUSIM) Level 3BS V022 (UARSU3BS) at GES DISC
The Solar Ultraviolet Spectral Irradiance Monitor (SUSIM) Level 3BS data product consists of daily, 1 nm resolution, solar spectral irradiances and selected solar parameters. The instrument consisted of two identical double-dispersion scanning spectrometers, seven detectors (5 photodiodes, 2 photon counters), and solar ultraviolet calibration sources measuring in the wavelength range from 110 to 410 nm. One spectrometer measured the solar disk while the other was for calibration using high-precision deuterium lamps calibrated by NIST. SUSIM was flown on NASA's Upper Atmosphere Research Satellite (UARS) and designed to measure the full disk solar irradiance with high precision and accuracy to follow short-term (minutes to hours), intermediate-term (days to weeks), and long-term (11 year sunspot, and 22 year solar magnetic field cycles) variations in the solar output. The SUSIM Level 3BS data were processed with the version 22 algorithm. The SUSIM Level 3BS data consists of 1 granule per day. The data are normalized to an earth-sun distance of 1 AU, and instrument degradation have been applied to the data. Included with the primary solar spectral irradiance values are the following solar indices: Lyman alpha, O-I (130 nm), C-II (134 nm) and C-IV (155 nm), Al Edge, and core-wing ratios of Mg-I and Mg-II. The data files are available in a binary record oriented format.
ANTARES monitoring station at the EPEA Station on the Argentina shelf
The EPEA (Estación Permanente de Estudios Ambientales) time series station was started in 2000 and since 2003 belongs to ANTARES (www.antares.ws), a network of Latin American time series stations whose main goal is the study of long-term changes in coastal ecosystems to distinguish those due to natural variability from those due to external perurbations (anthropogenic effects).Different research groups at the INIDEP (the National Institute of Fisheries Research and Development of Argentina) sample at the EPEA station, monitoring chemical, environmental and bio-optical variables as well as the bacterioplankton, phytoplankton, zooplankton, and the icthyoplankton communities. EPEA station is located on the Argentine shelf (38°28'S, 57°41'W), 27.0 nautical miles from Mar del Plata city and 13.5 nautical miles from the coast and has a depth of 50m. EPEA is characterized by a temperate regime, with annual sea surface temperatures between 10°C and 21°C and salinity values ranging between 33.5 and 34.1. Occasionally the site can receive less salty waters coming from the North, influenced by the La Plata River, driving salinity values to less than 31.0. Its oceanographic regime is described as the transition between high salinity coastal waters to the medium shelf (Guerrero et al., 1997).
A novel metabolic monitoring system identified nutrition-mediated microbial interactions
GEO Series GSE18474. Escherichia coli; Bifidobacterium longum. 8 samples. Type: Expression profiling by array.
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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.