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61 results for “total carbon”
Total and non-hydrolyzable soil carbon and nitrogen:BioCON : Biodiversity, Elevated CO2, and N Enrichment
BioCON (Biodiversity, CO2, and Nitrogen) is an ecological experiment started in 1997 at the University of Minnesota's Cedar Creek Ecosystem Science Reserve. BioCON's goal is to explore the ways in which plant communities will respond to three environmental changes that are known to be occurring on a global scale: increasing nitrogen deposition, increasing atmospheric CO2, and decreasing biodiversity. Why Biodiversity, CO2, and Nitrogen? While there are many uncertainties in global change biology, there are also some well documented facts. Some of these are: 1. The amount of carbon dioxide (CO2) in the atmosphere is rising. Since the industrial revolution, the CO2 concentration in the atmosphere has increased from approximately 275 parts per million (ppm) to about 378 ppm today. This has been largely the result of fossil fuel burning. It is expected that CO2 levels will continue to rise, and that by the year 2050 these levels will be approximately 550 ppm. CO2 is the raw material for photosynthesis and is known to affect plant growth and development. 2. The amount of nitrogen moving through terrestrial ecosystems has increased in the recent past. While natural "background" levels of nitrogen fixation have remained constant, human additions to the system through fertilizer production and fossil fuel use have increased dramatically. Nitrogen is a key nutrient for plant growth and plays a critical role in plant community structure and composition in many environments. 3. Biodiversity levels are falling. While the research and data are not as complete as they are for CO2 and nitrogen, data indicate that the number of species globally, is being reduced. Perhaps more important for ecosystem function, diversity levels on local to regional scales have fallen due to land use change, biotic invasion and many other drivers. While much is known about how each of these factors affects ecosystem functioning, many questions remain. There is also little data on how these issues affe
Data from: Coral reef carbonate budgets and ecological drivers in the central Red Sea – a naturally high temperature and high total alkalinity environment
The structural framework provided by corals is crucial for reef ecosystem function and services, but high seawater temperatures can be detrimental to the calcification capacity of reef-building organisms. The Red Sea is very warm, but total alkalinity (TA) is naturally high and beneficial for reef accretion. To date, we know little about how such detrimental and beneficial abiotic factors affect each other and the balance between calcification and erosion on Red Sea coral reefs, i.e., overall reef growth, in this unique ocean basin. To provide estimates of present-day reef growth dynamics in the central Red Sea, we measured two metrics of reef growth, i.e., in situ net-accretion/-erosion rates (Gnet) determined by deployment of limestone blocks and ecosystem-scale carbonate budgets (Gbudget), along a cross-shelf gradient (25km, encompassing nearshore, midshore, and offshore reefs). Along this gradient, we assessed multiple abiotic (i.e., temperature, salinity, diurnal pH fluctuation, inorganic nutrients, and TA) and biotic (i.e., calcifier and epilithic bioeroder communities) variables. Both reef growth metrics revealed similar patterns from nearshore to offshore: net-erosive, neutral, and net-accretion states. The average cross-shelf Gbudget was 0.66kg CaCO3m−2yr−1, with the highest budget of 2.44kg CaCO3m−2yr−1 measured in the offshore reef. These data are comparable to the contemporary Gbudgets from the western Atlantic and Indian oceans, but lie well below optimal reef production (5–10kg CaCO3m−2yr−1) and below maxima recently recorded in remote high coral cover reef sites. However, the erosive forces observed in the Red Sea nearshore reef contributed less than observed elsewhere. A higher TA accompanied reef growth across the shelf gradient, whereas stronger diurnal pH fluctuations were associated with negative carbonate budgets. Noteworthy for this oligotrophic region was the positive effect of phosphate, which is a central micronutrient for reef building corals. While parrotfish contributed substantially to bioerosion, our dataset also highlights coralline algae as important local reef builders. Altogether, our study establishes a baseline for reef growth in the central Red Sea that should be useful in assessing trajectories of reef growth capacity under current and future ocean scenarios.
Surface-to-bottom data of total alkalinity, total inorganic carbon, pH and dissolved oxygen in the subpolar North Atlantic along the CLIVAR 59.5N hydrographic section during 2009-2019.
<p>Contact: magdalena.santana@ulpgc.es; melchor.gonzalez@ulpgc.es; david.curbelo@ulpgc.es</p><p>______________________________</p><p><strong>1. Introduction</strong></p><p>The dataset comprises physical and carbonate system data collected during eight summer cruises (2009-2019) along the meridional hydrographic CLIVAR 59.5N section. This repeated section covered the longitudinal span of the subpolar North Atlantic at 59.5ºN between Scotland and Greenland (4.5-43.0ºW), encompassing the Irminger and Iceland basins, and the Rockall Trough. Sampling stations were equidistantly spaced every 20 n.m. apart (~1/3º longitude) in most cruises, with exceptions in 2016 where station spacing was decreased to 10 n.m. over Reykjanes Ridge slopes. Notably, the distance between stations over the east Greenland slope and shelf decreased from 10 n.m. to about 2 n.m. The dataset provided here is the result of an international collaboration between researchers from the P. P. Shirshov Institute of Oceanology at the Russian Academy of Science and the QUIMA-IOCAG group from the ULPGC. The cruise ID, dates, research vessels and chief scientist of each cruise (2009, 2010, 2011, 2012, 2013, 2014, 2016 and 2019) are summarized as follows:</p><p><i><strong>Year Cruise ID Date Research Vessel (R/V) Chief Scientist</strong></i></p><p>2009 AI28 Aug 15-Sept 27 Akademik Ioffe A. Sokov</p><p>2010 AI31 Sep 2-Sep 27 Akademik Ioffe A. Sokov</p><p>2011 SV33 Sep 9-Sep 28 Akademik Sergey Vavilov A. Sokov</p><p>2012 AI38 May 25-Jul 1 Akademik Ioffe S. Gladyshev</p><p>2013 AI41 Jun 26-Jul 23 Akademik Ioffe S. Gladyshev</p><p>2014 AI44 Jun 27-Jul 20 Akademik Ioffe S. Gladyshev</p><p>2016 AI51 Jun 3-Jul 13 Akademik Ioffe S. Gladyshev</p><p>2019 AMK77 Aug 8-Sep 10 Akademik Mstislav Keldysh S. Gladyshev</p><p><strong>2. Data collection: measurements and determination methodologies</strong></p><p>The surface-to-bottom sampling and in situ measurements were performed by using a SBE 911plus CTD with SBE32 Carousel containing 24 Niskin bottles (10 L) with additional sensors for pressure, temperature, salinity and dissolved oxygen (DO). The Chief Scientists (Alexey Sokov and Sergey Gladyshev, supported by FMWE-2023-0002) were responsible for the operational and maintenance procedures for the CTD and provided the physical variables (temperature, salinity, depth and bottom depth) for all the cruises and the sensor-measured DO for the cruise of 2019, all of them included in this dataset. The use of these data for scientific purposes is subject to request and granted only upon prior contact to A. Sokov and/or S. Gladyshev.</p><p>The dataset includes high-quality CO2 measurements obtained through a standardized analytical methodology applied across hydrographic cruises. The procedures adhere to the DOE method manual for CO2 analysis in seawater by Dickson et al., 2007. Seawater samples were onboard analysed for total alkalinity (AT), total inorganic carbon (CT), pH and dissolved oxygen (DO) determination. The QUIMA-IOCAG group from the ULPGC was responsible for the seawater sampling and chemical variables determination (CO2 system variables in all the cruises and WINKLER-measured dissolved oxygen from 2009 to 2016). The use of these data for scientific purposes is subject to request and granted only upon prior contact to any of the dataset authors.</p><p><strong> 2.1. Total Alkalinity (AT) and Total Inorganic Carbon (CT)</strong></p><p>Total alkalinity (AT) and total inorganic carbon (CT) were determined onboard using a VINDTA 3C according to Mintrop et al., 2000. AT was analyzed via potentiometric titration with HCl, following the carbonic acid endpoint method (Millero et al., 1993; Dickson and Goyet, 1994), while CT was determined through coulometric titration (Johnson et al., 1993). In-situ calibration of the VINDTA 3C using Certified Reference Material (CRMs) by A. Dickson ensured accuracy of ±1.5 μmol kg-1 for AT and ±1.0 μmol kg-1 for CT.</p><p><strong> 2.2. pH</strong></p><p>Spectrophotometric pH measurements were conducted between 2009 and 2016 at a constant temperature of 15ºC (pH15). The measurements utilized a spectrophotometric pH sensor (SP101-SM) developed by the QUIMA-IOCAG group at the ULPGC in collaboration with SensorLab (González-Dávila, 2014; González-Dávila et al., 2016). The method employs 4-wavelength analysis for m-cresol purple, incorporates auto-cleaning steps, and performs a blank for pH calculation post-dye injection. In-situ testing with a TRIS seawater buffer confirmed an accuracy of ±0.002 units, and a correction of +0.0047 units was applied to experimental pH values based on DelValls and Dickson, 1998, which reported an uncertainty associated with TRIS calibration.</p><p>The pH at in situ temperature (pH) was computed by using the CO2SYS programme developed by Lewis and Wallace, (1998) and run with the MATLAB software (van Heuven et al., 2011; Orr et al., 2018; Sharp et al., 2023) from the measured AT and pH15. The pH at in situ temperature for the cruise of 2019, in which direct pH measurements were not performed, was computed from the measured AT and CT.</p><p><strong> 2.3. Dissolved Oxygen (DO)</strong></p><p>The WINKLER method, initially introduced by Winkler (1888) and subsequently optimized by Carpenter (1965) and Carrit and Carpenter (1966), was employed to analytically determine dissolved oxygen (DO) in seawater samples across all cruises from 2009 to 2016. During sample collection, seawater samples for DO determination were carefully collected in pre-calibrated glass wide-neck bottles to prevent bubble formation, and the water temperature was recorded at the time of sampling. Titration was performed using a Metrohm 888 Titrando and 794 Basic Titrino, operated with Tiamo software and a potentiometric electrode, as outlined by Culberson and Huang (1987). Thiosulfate standardization occurred every two days using a KIO3 0.01N solution. The reagents and solutions for DO determination were prepared following procedures by Dickson and Goyet (1994), with regular blank determinations every two days to control for possible impurities. As DO could not be analytically measured during the cruise of 2019 (due to limitations related with the oceanographic cruise plan), sensor-measured DO data were included in this dataset for this year.</p><p><strong>3. Dataset content</strong></p><p>The dataset includes the following variables: </p><ul><li>"cruise" (year of the cruise).</li><li>"cruise_ID" (ID of each cruise).</li><li>"date" (date of the day in which half of the cruise was completed).</li><li>"station" (ID of each sampling station).</li><li>"lon" (longitude in decimal degrees).</li><li>"lat" (latitude in decimal degrees).</li><li>"niskin" (number of each niskin bottle obtained from the bottle dataset).</li><li>"depth" (depth of each sample in meters, m).</li><li>"bottomdepth" (depth of the bottom in meters, m).</li><li>"temp" (temperature in ºC).</li><li>"sal" (salinity).</li><li>"pH15" (measured pH at a constant temperature of 15ºC, in total scale).</li><li>"pH" (pH at in situ temperature, in total scale).</li><li>"CT" (total inorganic carbon, in mmol m-3).</li><li>"AT" (total alkalinity, in mmol m-3).</li><li>"DO" (Dissolved Oxygen, in mmol m-3).</li></ul><p><strong>Acknowledgement</strong></p><p>The participation on the cruises for the Spanish Team from the ULPGC was funded by the Science Spanish Ministry under the Complimentary Actions CTM2008-05255, CTM2010-09514-E and CTM2011-12984-E (years 2009-2011), the FP7 European project CARBOCHANGE under grant agreement no. 264879 and by the Spanish Innovation and Science Ministry through the Projects EACFe (CTM2014-52342-P) and ATOPFe (CTM2017-83476-P). The participation of DCH was funded by the PhD grant PIFULPGC-2020-2 ARTHUM-2. Special thanks go to the technician and researchers Adrian Castro Álamo (2 cruises), Anna Barrera Galderique (3 cruises), Rayco Alvarado Medina (2 cruises) and Pilar Aparicio Rizzo (1 cruise) who helped with in situ analysis. We also thanks technicians at the P. P. Shirshov Institute of Oceanology from the Russian Academy of Science for their onboard help with sampling and analysis works. We are deeply grateful to A. Sokov and S. Gladyshev from the P. P. Shirshov Institute of Oceanology from the Russian Academy of Science for invite the QUIMA-IOCAG group (ULPGC) to participate in the 8 cruises between 2009 and 2019 and provide CTD data.</p>
Excess 210Pb, 137C, total organic carbon content, HBI biomarkers (IPSO25, HBI III) and biogenic silica of marine deposits from sediment core 2018_R2_2F from Sheldon Cove, Antarctic Peninsula
<p><strong>Description</strong>: Sediment core 2018_R2_2F was collected from Sheldon Cove, Antarctic Peninsula (67.55°S 68.27°W) from a water depth of 177 m, in December 2018 as part of expedition JR18003 by the British Antarctic Survey aboard RV James Clark Ross (Sands et al. 2019). Total core length was 25 cm. The dataset presented here consists of: gamma spectrometry measurements of excess 210Pb (calculated as a difference between the total 210Pb and the average of 214Pb and 214Bi) and 137Cs; total organic carbon (TOC) content; biogenic silica (BSi) content; and HBI biomarker (IPSO25, HBI III) concentrations. The excess 210Pb and 137Cs were measured at the Institute of Geology at Adam Mickiewicz University in Poznań, Poland, using a gamma detector Canberra BE3830, cooled with cryostat Cryo-Pulse®5 plus. The detector is placed in 10 cm thick lead shield walls and is equipped with a remote detector chamber option (RDC-6 inches) for low energy background reduction. The detector was commercially characterized by ISOCS (In-Situ Object Calibration Software) and LabSOCS (Laboratory Sourceless Object Calibration Software). Efficiencies for measured geometries were determined using LabSOCS code applying all corrections for sample geometry, matrix, and container type, and were verified with IAEA standards measurements. The results (spectra) were analyzed in Canberra GENIE-2000 v. 3.3 gamma spectrometry software and are presented with 2-sigma uncertainty ranges (Szczuciński, submitted). TOC concentrations (given in %) were measured at the Faculty of Earth Sciences, University of Silesia, Poland, using an Eltra CS-500 IRanalyzer with a Total Inorganic Carbon module according to the procedure described in Racka et al. (2010). TOC was calculated as the difference between TC (total carbon) and TIC (total inorganic carbon). Each TOC sample was analysed in duplicate. Analytical precision and accuracy were better than ±2% for TC and ±3% for TIC. HBI biomarker preparation and analysis followed slightly modified (Pieńkowski et al. 2021) standard protocols (Belt 2012). HBI concentrations are given per weight of sediment (ng/g sed), and organic carbon content (μg/g OC) (Belt et al. 2012). Biogenic (opaline) silica (BSi) analysis on dried, homogenised samples followed Heiri et al. (2001) and Bechtel et al. (2007). Each BSi and TOC sample was analysed in duplicate; values are given in %. BSi and TOC standard deviation calculations are based on data from the replication.</p> <p><strong>References</strong> <br><br>* Bechtel, A., Woszczyk, M., Reischenbacher, D., Sachsenhoffer, R., Gratzer, R., Püttmann, W. Spychalski, W., 2007: Biomarkers and geochemical indicators of Holocene environmental changes in Lake Sarbsko (Poland). Org. Geoch. 38, 1112–1131. <br>* Belt, S.T., Brown, T.A., Navarro Rodriguez, A., Cabedo Sanz, P., Tonkin, A., Ingle, R. 2012. A reproducible method for the extraction, identification and quantification of the Arctic sea ice proxy IP25 from marine sediments. Anal. Methods 4, 705-713. <br>* Heiri, O., Lotter, A. F., Lemcke, G., 2001. Loss on ignition as a method for estimating organic and carbonate content in sediments: reproducibility and comparability of results. J. Paleolimnol. 25, 101-110. <br>* Pieńkowski, A.J., Husum, K., Belt, S.T., Ninnemann, U., Köseoğlu, D., Divine, D.V., Smik, L., Knies, J., Hogan, K., Noormets, R. 2021. Seasonal sea ice persisted through the Holocene Thermal Maximum at 80°N. Commun. Earth Environ. 2, 124. <br>* Racka, M., Marynowski, L., Filipiak, P., Sobstel, M., Pisarzowska, A., Bond, D.P.G., 2010: Anoxic Annulata events in the Late Famennian of the Holy Cross Mountains (Southern Poland): geochemical and palaeontological record. Palaeogeography, Palaeoclimatology, Palaeoecology 297(3-4), 549-575. <br>* Sands, C.J., Annett, A., Apeland, B., Barnes, D.K.A, Bascur, M., Bruning, P., Costa, M., Dadd, G., De Lecea, A., Ensor, N., Featherstone, A., Flint, G., Goodger, D., Guzzi, A., Howard, F., Hunter, D., Jenkins, S., Kender, S., Lincoln, B., Munoz-Ramirez C., Pienkowski, A., Retallick, K., Roman-Gonzalez, A., Scourse, J., Sheen, K., Whitaker, T., Williams, J., Zhao, L., Zwerschke, N., 2019: JR18003 Cruise Report. British Antarctic Survey, 132 pp. <br>* Szczuciński, W. (submitted): Applications of gamma-emitting isotopes (210Pb and 137Cs) for assessment of sedimentary processes – insights from studies of lake, deltaic and continental shelf deposits. <br><br><strong>Projects</strong> <br><br>* CHARME: CHanging AntaRctic Marine Environments, <strong>Web</strong>: <a title="Follow link" href="https://charme.amu.edu.pl/" target="_blank" rel="nofollow noopener">https://charme.amu.edu.pl/</a>, <strong>Award</strong>: Norwegian Financial Mechanism 2014-2021, UMO-2020/37/K/ST10/04127 <br><br><strong>File descriptions</strong>: Excel file with all data, as well as core details (coordinates and water depth).</p> <p><strong>Comment</strong>: This dataset is related to the following article which has been accepted for publication:</p> <p>Pieńkowski, Anna J.; Szczuciński, Witold; Breszka, Agnieszka; Chyleński, Maciej; Juras, Anna; Romel, Paulina; Rozwalak, Piotr; Trzebny, Artur; Dabert, Mirosława; Belt, Simon; Jagodziński, Robert; Smik, Lukas; Włodarski, Wojciech. Sedimentary ancient DNA and HBI biomarkers as sea-ice indicators: a complementary approach in Antarctic fjord environments. Limnology Oceanography Letters. doi: 10.1002/lol2.10395</p>
Spatial and longitudinal distributions of total carbon, nitrogen and sulphur together with water-soluble major ions in marine aerosols collected from the western Pacific and Southern Ocean
<p>Latitudinal ionic distributions are studied over the western Pacific (WP) and Southern Ocean (SO) to explore the sources and formation mechanism of major ions.</p>
Activated Carbon Interphase Effect on Biofilm and Total Bacterial Load
ClinicalTrials.gov study NCT03461783. IPD Sharing: NO. Countries: 1. Publications: 3.
Data from: Coral reef carbonate budgets and ecological drivers in the central Red Sea – a naturally high temperature and high total alkalinity environment
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Assembled file of spring annual averages of measures of total mesozooplankton organic biomass as carbon, in the California Current System, 1951 - 2008.
Reference for zooplankton organic carbon is Lavaniegos and Ohman (2007). More than 400 zooplankton types counted.
Size group (pico, nano, micro) and group total carbon estimates from cell counts via epifluorescent microscopy (EPI) of heterotrophic and autotrophic plankton from CCE LTER process cruises in the California Current region, 2006 - 2016
Microbial community assemblages of the California Current Ecosystem (CCE) are assessed for biomass of heterotrophic (dinoflagellate and other eukaryotes) and autotrophic (dinoflagellate and other eukaryotes) plankton using high-throughput digital epifluorescence microscopy (EPI). Samples to estimate the nano- and microplankton (0.2-2.0-µm and 2.0-20-µm size, respectively) are collected at various depths, preserved, stained, and filtered onto a membrane filter and mounted on a glass microscope slide aboard the process cruises (since 2006, ongoing). Slides are then frozen at -80°C for subsequent imaging and analysis in the laboratory onshore. Carbon biomass is computed from cell biovolumes.
Size group (pico, nano, micro) and group total carbon estimates from cell counts via epifluorescent microscopy (EPI) of heterotrophic and autotrophic plankton from CCE-CalCOFI Augmented cruises in the California Current System, 2004 - 2011 (ongoing).
Microbial community assemblages of the California Current Ecosystem (CCE) are assessed for biomass of heterotrophic (dinoflagellate and other eukaryotes) and autotrophic (dinoflagellate and other eukaryotes) plankton using high-throughput digital epifluorescence microscopy (EPI). Samples to estimate the nano- and microplankton (0.2-2.0-µm and 2.0-20-µm size, respectively) are collected at various depths via Niskin bottles, preserved, stained, and filtered onto a membrane filter and mounted on a glass microscope slide aboard the quarterly CalCOFI survey cruises (since 2004, ongoing). Slides are then frozen at -80°C for subsequent imaging and analysis in the laboratory onshore. Carbon biomass is computed from cell biovolumes.
Picophytoplankton and bacteria total carbon estimates from cell counts analyzed with flow cytometry (FCM) from CCE LTER process cruises in the California Current region, 2006 - 2017.
Picophytoplankton populations and non-pigmented prokaryotes are sampled within the California Current Ecosystem (CCE) for abundances from various depths. Seawater is collected from Niskin bottles and cells are fixed in the field aboard the survey cruises (since 2004, ongoing) with paraformaldehyde, and stained with a DNA-specific dye back in the laboratory. The cells are enumerated by an Altra flow cytometer (with a syringe pump for volumetric sample delivery) simultaniously with argon ion lasers, to distinguish three major populations of photoautotrophs (Prochlorococcus, Synechococcus, and pico-eukaryotes) and the assemblage of heterotrophic prokaryotes collectively referred to as H-Bact. FCM abundance estimates for each are converted to carbon biomass equivalents using mixed-layer estimates.
Global Prediction Of Total Organic Carbon In Marine Sediments Using Deep Neural Networks (nn-toc) v2
<p>This is the second version that was uploaded to make the code available for the paper submission <strong><span>NN-TOC v1: global prediction of total organic carbon in marine sediments using deep neural networks</span></strong> to the Geoscientific Model Development journal. Here we create a deep neural network based approach for the geospatial predicition of total organic carbon percentages in marine sediments.</p> <p><span>The data folder contains "raw" features and labels, "interim" data for preprocessed features and labels and "output"s produced from the model. While the preprocessed folder contain all the other files that can be produced by running the code. The features are in .nc or .grd file format. The other files are in .xyz or .csv file format.</span></p> <p> </p>
A Study to Determine if Carbon Dioxide Lavage During Total Knee Surgery Reduces Intraoperative Embolic Events
ClinicalTrials.gov study NCT00736125. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Trophic complexity in aqueous systems: bacterial species richness and protistan predation regulate dissolved organic carbon and dissolved total nitrogen removal
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Data from: DualPhos: a versatile, chemoselective reagent for two-carbon aldehyde to latent (E)-alkenal homologation and application in the total synthesis of phomolide G
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Carbon Monitoring System Carbon Flux Total Prior L4 V3 (CMSFluxTotalPrior)
This dataset provides the Prior for Total Carbon Flux.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.
Carbon Monitoring System Flux for Posterior Total Carbon L4 V1 (CMSFluxTotalpost) at GES DISC
This dataset provides the Carbon Flux for Posterior Total Carbon.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.
Carbon Monitoring System Flux for Prior Total Carbon L4 V1 (CMSFluxTotalprior) at GES DISC
This dataset provides the Carbon Flux for Prior Total Carbon.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.
Carbon Monitoring System Carbon Flux Total L4 V2 (CMSFluxTotal) at GES DISC
This dataset provides the Carbon Flux for Posterior Total Carbon.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.
Carbon Monitoring System Carbon Flux Total L4 V3 (CMSFluxTotal)
This dataset provides the Carbon Flux for Posterior Total Carbon.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
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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.