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.
41
datasets available to search
ShareScore release 0.9.0
Dataset results
41 results for “CARB”
Dataset 8 of 8: Ozone (O3) concentrations in California (2016-2019) (CARB 19RD004)
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Dataset 3 of 8: Particulate matter PM2.5 concentrations in California (2012-2013) (CARB 19RD004)
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Dataset parent CARB 19RD004: Daily pollutant concentrations of NO2, PM2.5 and O3 of 100 m resolution for California 2012-2019
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Dataset 5 of 8: Particulate matter PM2.5 concentrations in California (2016-2017) (CARB 19RD004)
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Dataset 1 of 8: Daily nitrogen dioxide concentrations in California (2012-2015) (CARB 19RD004)
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Dataset 6 of 8: Particulate matter PM2.5 concentrations in California (2018-2019) (CARB 19RD004)
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Dataset 2 of 8: Daily nitrogen dioxide concentrations in California (2016-2019) (CARB 19RD004)
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Dataset 7 of 8: Ozone (O3) concentrations in California (2012-2015) (CARB 19RD004)
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Dataset 4 of 8: Particulate matter PM2.5 concentrations in California (2014-2015) (CARB 19RD004)
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CARB forest offset project wildfire risk ratings
<p>Wildfire risk reversal ratings assigned to forest offset projects participating in California's forest carbon offset program. </p>
The Dietary Education Trial in Carbohydrate Counting (DIET-CARB Study in Type 1 Diabetes
ClinicalTrials.gov study NCT03623113. IPD Sharing: NO. Countries: 1. Publications: 1.
B1 and Magnesium Supplements on Glucose Metabolism in Low-carb Dieters
ClinicalTrials.gov study NCT04651205. IPD Sharing: NO. Countries: 1. Publications: 1.
Diet Order Effects of Low Fat vs. Low Carb Diets on Body Fat Change
ClinicalTrials.gov study NCT06325722. IPD Sharing: YES. Countries: 1. Publications: 2.
Relieving Carb Counting Via Flexible-userinteraction Multiple-input Control Architectures
ClinicalTrials.gov study NCT07031492. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Weight Loss Diet Study: Low Carb vs Low Fat
ClinicalTrials.gov study NCT01661426. IPD Sharing: NO. Countries: 1. Publications: 1.
Carb Quality and CHD in US Adults
ClinicalTrials.gov study NCT03214861. IPD Sharing: NO. Countries: 0. Publications: 39.
GEOS-Carb CASA-GFED Monthly Fire Fuel NPP Rh NEE Fluxes 0.5 degree x 0.5 degree V3 (GEOS_CASAGFED_M_FLUX) at GES DISC
This product provides Monthly average Net Primary Production (NPP), heterotrophic respiration (Rh), wildfire emissions (FIRE), andfuel wood burning emissions (FUEL) derived from the Carnegie-Ames-Stanford-Approach – Global Fire Emissions Database version 3 (CASA-GFED3) model.The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.
GEOS-Carb CASA-GFED Daily Fire and Fuel Emissions 0.5 degree x 0.5 degree V2 (GEOS_CASAGFED_D_FIRE) at GES DISC
This product provides Daily average wildfire emissions (FIRE) andfuel wood burning emissions (FUEL) derived from the Carnegie-Ames-Stanford-Approach – Global Fire Emissions Database version 3 (CASA-GFED3) model.The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.
GEOS-Carb CASA-GFED Monthly Fire Fuel NPP Rh NEE Fluxes 0.5 degree x 0.5 degree V2 (GEOS_CASAGFED_M_FLUX) at GES DISC
This product provides Monthly average Net Primary Production (NPP), heterotrophic respiration (Rh), wildfire emissions (FIRE), andfuel wood burning emissions (FUEL) derived from the Carnegie-Ames-Stanford-Approach – Global Fire Emissions Database version 3 (CASA-GFED3) model.The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.
GEOS-Carb CASA-GFED 3-hourly Ecosystem Exchange Fluxes 0.5 degree x 0.625 degree V2 (GEOS_CASAGFED_3H_NEE) at GES DISC
This product provides 3 hourly average net ecosystem exchange (NEE) and gross ecosystem exchange (GEE)of Carbon derived from the Carnegie-Ames-Stanford-Approach – Global Fire Emissions Database version 3 (CASA-GFED3) model.The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.
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.