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5,145 results for “CO₂”
A sea state dependent gas transfer velocity for CO$_2$ unifying theory, model and field data
<p>Dataset for "A sea state dependent gas transfer velocity for CO2 unifying theory, model and field data"</p> <p>WaveWatch III simulated significant wave height (Hs, unit:m), volume of entrained air ('wva', unit m/s), 10-meter wind vector ( 'uwnd','vwnd', unit, m/s) for 9 datasets from 11 cruises.</p> <p>The information of dataset is shown in name of each file.</p>
ACA CO(J=2-1) Mapping of the Nearest Spiral Galaxy M33. I. Initial Results and Identification of Molecular Clouds
<p>(1) M33_ACA7m+IRAM_12CO21_cube_pbcor_kelvin.fits.tar.gz (661 MB): <sup>12</sup>CO(<em>J</em>=2-1) data cube obtained with the ACA 7m array combined with the IRAM 30m telescope, 7".31 x 6".50 beam, 0.7 km/s resolution<br> (2) M33_ACA7m-only_12CO21_cube_pbcor_kelvin.fits.tar.gz (660.6 MB): <sup>12</sup>CO(<em>J</em>=2-1) data cube obtained with the ACA stand-alone mode (7m array only), 7".31 x 6".50 beam, 0.7 km/s resolution<br> (3) M33_ACA7m-only_13CO21_cube_pbcor_kelvin.fits.tar.gz (331.5 MB): <sup>13</sup>CO(<em>J</em>=2-1) data cube obtained with the ACA stand-alone mode (7m array only), 7".72 x 6".86 beam, 1.4 km/s resolution<br> (4) M33_ACA7m-only_C18O21_cube_pbcor_kelvin.fits.tar.gz (289.9 MB): C<sup>18</sup>O(<em>J</em>=2-1) data cube obtained with the ACA stand-alone mode (7m array only), 7".82 x 6".96 beam, 1.6 km/s resolution</p>
Geostationary Satellite Surface Gaseous Pollutants Dataset - CO
<p>High spatiotemporal resolution CO dataset of China's near-surface based on the Geostationary satellite Himawari-8 (2015.09 - 2021.08)</p>
Fig. 2 in Global metabolome analysis of Dunaliella tertiolecta, Phaeobacter italicus R11 Co-cultures using thermal desorption - Comprehensive two-dimensional gas chromatography - Time-of-flight mass spectrometry (TD-GC×GC-TOFMS)
Fig. 2. Workflow for sample preparation and injection. Culture samples were filtered and dried (A–B). Dried filter papers were placed in clean vials (C) and then resuspended in methanol (D) before being extracted with Chloroform (E). Water was added (F) and subsequently, the chloroform layer was aliquotted into GC vials (G) for further sample preparation. Extracts were dried (H) and then derivatized using a two-step methoximation/silylation process to yield derivatized extracts (I). 9-μL aliquots of derivatized extracts were automatically transferred to microvial inserts in thermal desorption tubes for injection (J) using an initial solvent vent step to remove excess solvent and derivatisation reagents (K), followed by thermal desorption to a cooled PTV inlet and subsequent splitless injection to the GC × GC-TOFMS system. Non-volatile residues from the extracts remained in the microvial insert for subsequent disposal (L). See text for details.
Fig. 4 in Global metabolome analysis of Dunaliella tertiolecta, Phaeobacter italicus R11 Co-cultures using thermal desorption - Comprehensive two-dimensional gas chromatography - Time-of-flight mass spectrometry (TD-GC×GC-TOFMS)
Fig. 4. From left to right: results of principal component analysis of the raw data (autoscaled), similarly scaled data normalised to class-specific TUPA, and the normalised, scaled data using the selected features from the FS-CR routine. Quality control samples were not included in the feature selection routine, and are displayed as filled icons connected to their corresponding replicate with a straight line, following projection into the optimised principal component space. Confidence ellipses were drawn about each sample class for a confidence interval of 0.95. Note the convention: DUN refers to D. tertiolecta samples, CO refers to co-culture samples, and BAC refers to P. italicus R11 samples.
Synergistic Observation of Geostationary Satellites FY-4A and FY-4B to Estimate Near-surface Pollutant Concentration dataset - CO
<p>High spatiotemporal resolution CO dataset of China's near-surface for summer and autumn 2022 based on the Geostationary satellite FY-4A and FY-4B</p>
Fig. 7 in Molecular insights of fungal endophyte co-inoculation with Trichoderma viride for the augmentation of forskolin biosynthesis in Coleus forskohlii
Fig. 7. Effect of endophyte (s) and TV1 colonization alone or in co-inoculation on photosynthetic pigments. (a) chlorophyll a, (b) chlorophyll b, and (c) carotenoids. Standard deviation of mean (SD) of three biological replicates. Asterisks indicate a significant variance between control and treatment plants (*p <0.05, **p <0.01).
Fig. 5 in Molecular insights of fungal endophyte co-inoculation with Trichoderma viride for the augmentation of forskolin biosynthesis in Coleus forskohlii
Fig. 5. Impact of RF1+TV1 combination on forskolin pathway genes analyzed by Real-time qPCR. Data are mean ±SD (n =3 replicates). The relative quantity (RQ) of each gene was estimated using the formula RQ =2-ΔΔCt. Expression level of gene (a) CfTPS1, (b) CfTPS2, (c) CfTPS3, (d) CfTPS4, (e) CfCYP76AH15 and (f) CfACT1- 8. Asterisks indicate significant variation between control and endophyte inoculations (**p <0.01).
Fig. 4 in Molecular insights of fungal endophyte co-inoculation with Trichoderma viride for the augmentation of forskolin biosynthesis in Coleus forskohlii
Fig. 4. Schematic representation of forskolin biosynthetic pathway. Inoculation of CFRF1+TV1 combination differentially modulated the expression of different genes involved in forskolin biosynthesis. Intensity of grey to dark color with circles indicates expression level of specific gene in control (C) and RF1+TV1 (R + T) treated plants (i. e., grey color less expression and dark color more expression). The higher expression of CfTPS2 and CfACT1-8 followed by CfCY- P76AH15, CfTPS4, and CfTPS3.
Fig. 3 in Molecular insights of fungal endophyte co-inoculation with Trichoderma viride for the augmentation of forskolin biosynthesis in Coleus forskohlii
Fig. 3. Forskolin relative yield in various treatments tested under field conditions were analyzed by TLC method. (a) TLC plate and (b) graphical view of forskolin relative yield in roots. F: forskolin standard, Con: control, T1: RF1, T2: SF1, T3: SF2, T4: TV1, T5: RF1 + TV1, T6: SF1 + TV1 and T7: SF2 + TV1. Standard deviation of mean (SD). Asterisks indicate a significant variation between control and treatment plants (*p <0.05, **p <0.01).
Fig. 2 in Molecular insights of fungal endophyte co-inoculation with Trichoderma viride for the augmentation of forskolin biosynthesis in Coleus forskohlii
Fig. 2. Effect of endophytes and TV1 colonization on C. forskohlii. The beneficial effects of various treatments on plant height, branch number and total biomass. The graphical bar represents the effect of total of seven treatments, RF1, SF1, SF2, TV1, RF1+TV1, SF1+TV1, and SF2+TV2 and one control. (a) Plant height and (b) Number of branches. The fresh weights of shoots and roots (c) and dry weights of shoots and roots (d) were analyzed. The root length and number of tuberous roots per plant also recorded from 4 biological replicates. Error bars represents the standard deviation of mean (SD). Asterisks indicate a significant difference between control and endophyte treatments (*p <0.05, **p <0.01).
Fig. 1 in Molecular insights of fungal endophyte co-inoculation with Trichoderma viride for the augmentation of forskolin biosynthesis in Coleus forskohlii
Fig. 1. Scanning electron microscopic images of fungal endophytes, P. cornearis (SF1), M. pseudophaseolina (SF2), and F. redolens (RF1) grown on PDA. The magnified images of conidia and mycelia were captured. SF1 (A) and SF1 (B) are magnified images of chlamydospore (arrows) and scale = 10 μM (5000 ×) and 5 μM (10000 ×), respectively. SF2 (A) and SF2 (B) are magnified images of mycelia (arrows) and scale = 20 μM (2500 ×) and 5 μM (10000 ×), respectively. RF1 (A) and RF1 (B) are magnified images of chlamydospore (arrow) and scale = 5 μM (10000 ×) and 2 μM (20000 ×), respectively.
Data - Co-creation Experiment
<p>The dataset refers to the experiment described in "Value co-creation for memorable touristic experiences. Experimental evidence of the effects on consumer satisfaction and purchase intention"</p>
Supplementary figure collections 1–3 of 'Interspecies co‐expression analysis of lateral root development using inducible systems in rice, Medicago, and Arabidopsis'
<p>Supplementary figure collections 1–3 of 'Interspecies co‐expression analysis of lateral root development using inducible systems in rice, Medicago, and Arabidopsis' (10.1111/tpj.16481)</p>
Dataset for 'BiVO4 photoanodes enhanced with metal phosphide co-catalysts: relevant properties to boost photoanode performance'
<p>Dataset for 'BiVO4 photoanodes enhanced with metal phosphide co-catalysts: relevant properties to boost photoanode performance'</p> <p>More details in the Manuscript under open access</p>
STM time laps of Co clusters on graphene during CO2 exposure
<p>Co clusters deposited on graphene/Ni(100) are exposed to CO2 and monitored by STM.</p>
ALMA detection of CO rotational line emission in red supergiant stars of the massive young star cluster RSGC1
<p>Input files and data for the MESA simulations in the paper "ALMA detection of CO rotational line emission in red supergiant stars of the massive young star cluster RSGC1". Runs where performed with version r23.05.1 of the MESA code using the MESA SDK version x86_64-linux-22.6.1. Folder named "Decin" contains the simulation with the new mass loss rate described in the paper, while the folder named NdJ contains the input files for the simulation performed with the Nieuwenhuijzen & de Jager rates.</p>
The Impact of Co-Dispensing Naloxone to Patients Prescribed Chronic Opioid Therapy
ClinicalTrials.gov study NCT03337100. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
rFVIII-Fc (Produced by AryoGen Pharmed Co.) Pharmacokinetic Study
ClinicalTrials.gov study NCT06137092. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Let's CO-OPerate! Together we Are Stronger
ClinicalTrials.gov study NCT07085403. IPD Sharing: NO. Countries: 1. Publications: 2.
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.