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96 results for “DOC”

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zenodo36/100

Seasonal concentrations and fluxes of dissolved, soluble, and colloidal Fe and dissolved organic matter amount and composition (DOC and PARAFAC)

<p>These datasets accompany the following manuscript:</p> <p>Logozzo, L.A.*, Hosen, J.D., McArthur, J., and Raymond, P.A. Distinct drivers of two size fractions of operationally dissolved Fe in a temperate river. Limnology and Oceanography.</p> <p>*Corresponding Author: Laura A. Logozzo, laura.logozzo@uleth.ca</p> <p>Datasets:</p> <p>1- Fe-DOM-EMMA-merged.xlsx: this dataset includes operationally dissolved (&lt;0.22 &micro;m), colloidal (0.02-0.22 &micro;m), and soluble (&lt;0.02 &micro;m) DOC concentrations, total Fe concentrations, PARAFAC component scores &lt;0.22 &micro;m, and end-member mixing model scores &lt;0.22 &micro;m. Samples were collected approximately bi-weekly from the Connecticut River at Thompsonville from April 2018 to March 2020.</p> <p>2- Loadest-merged.xlsx: this dataset includes LOADEST-modeled daily-average and monthly-average fluxes of operationally dissolved (&lt;0.22 &micro;m), colloidal (0.02-0.22 &micro;m), and soluble (&lt;0.02 &micro;m) Fe, DOC &lt;0.22 &micro;m, and allochthonous-like DOC &lt;0.22 &micro;m.</p> <p>All methodology is described in the accompanied manuscript.</p>

openother-openMar 2023View details →
zenodo36/100

CDOM spectral slope (S275-295) as tracers of water masses, CDOM heterogeneity, and 14C-DOC in an oligotrophic marginal sea

<p>The present study is focused on the CDOM vertical profiles in the northern South China Sea. The results suggest humic-like FDOM is controlling the variation of the spectral slope of CDOM (<em>S</em><sub>275-295</sub>). In addition, our results suggest&nbsp;<em>S</em><sub>275-295</sub>&nbsp;could be used as tracers of water mass, CDOM diversity and radiocarbon age of dissolved organic carbon in oligotrophic ocean.</p>

opencc-by-4.0Dec 2022View details →
zenodo36/100

sequenced cfDNA samples, extracted DoC for TSSs (HK + PAU) and TFBSs (LYL1 and GRHL2)

<p>File contains CSV files which store depth of coverage values (cfDNA fragment&#39;s central 60 bp if length &gt; 60 bp; entire fragment otherwise) extracted from 4 samples (sample BAM files deposited at the European Genome Phenome Archive, accession: <span> </span><a href="https://ega-archive.org/studies/EGAS00001006963">EGAS00001006963</a><span><span>) before and after correction of sample specific GC sequence content bias (GC bias) by GCparagon software using a custom Pysam implementation. The Pysam implementation can read alignment tags for DoC computation which is required for the signal after bias correction.</span></span></p> <p><span><span>Extracted loci are top 10k reported transcription factor binding sites for LYL1 and GRHL2 as well as transcription start sites of housekeeping genes (HK genes) and unexpressed genes as assessed from the Protein atlas (PAU genes).<br> Pysam implementation by Kapidzic Faruk can be found here: </span></span><a href="https://github.com/Faruk-K/pysam">https://github.com/Faruk-K/pysam</a></p> <p>Linked to the <a href="https://github.com/BGSpiegl/GCparagon/tree/including_EGAS00001006963_results-DEV">GCparagon tool code repository</a> which is available on GitHub.</p> <p>For details see publication which is linked to the EGA dataset and the GitHub repository. (not published at moment of submission to Zenodo)</p>

opencc-by-3.0-atApr 2023View details →
ClinicalTrials.gov36/100

Describing the Effect of Familiar Song on Arousal and Awareness for Children With Disorders of Consciousness (DoC)

ClinicalTrials.gov study NCT07209657. IPD Sharing: YES. Countries: 1. Publications: 3.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Stroke Team Remote Evaluation Using a Digital Observation Camera- Long Term Outcomes(STRokE DOC-LTO)

ClinicalTrials.gov study NCT00936455. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad36/100

Water residence time and Damköhler number for DOC cycling in global watersheds

Open the record for dataset details and reuse information.

publicApr 2022View details →
dryad36/100

Watershed DOC uptake occurs mostly in lakes in the summer and in rivers in the winter: The CUPS-OF-DOC model

Open the record for dataset details and reuse information.

publicJan 2023View details →
edi36/100

Dissolved organic carbon (DOC) measurements from Toolik Lake Inlet and Toolik Lake main, Toolik Field Sation, North Slope Alaska for 2005-2008.

Dissolved organic carbon (DOC) measurements from Toolik Lake Inlet and Toolik Lake main sampling station for 2005-2008. The earliest measurements were in May and with the latest in September.

openOpenFeb 2016View details →
dryad32/100

The dynamics and stoichiometry of dissolved organic carbon release by kelp: Carbon fixation, DOC release and nutrient uptake data

<p>Canopy-forming kelps are foundational species in coastal ecosystems, fixing tremendous amounts of carbon, yet we know little about the ecological and physiological determinants of dissolved organic carbon (DOC) release by kelps. We examined DOC release by the bull kelp, <i>Nereocystis luetkeana</i>, in relation to carbon fixation, nutrient uptake, tissue nitrogen content, and light availability. DOC release was approximately 3.5 times greater during the day than at night. During the day, <i>N. luetkeana</i> blades released an average of 16.2% of fixed carbon as DOC. Carbon fixation increased with light availability but DOC release did not, leading to a lower proportion of fixed carbon released as DOC at high light levels. We found no relationship between carbon fixation and DOC release rates measured concurrently. Rather, DOC release by <i>N. luetkeana</i> blades declined with marginal significance as blade tissue nitrogen content increased and with experimental nitrate addition, supporting the role of stoichiometric relationships in DOC release. Using a stable isotope (<sup>13</sup>C) tracer method, we demonstrated that inorganic carbon is rapidly fixed and released by <i>N. luetkeana</i> blades as <sup>13</sup>DOC, within hours. However, recently fixed carbon (<sup>13</sup>DOC) comprised less than 20% of the total DOC released, indicating that isotope studies that rely on tracer production alone may underestimate total DOC release, as it is decoupled from recent kelp productivity. Comparing carbon and nitrogen assimilation dynamics of the annual kelp <i>N. luetkeana</i> with the perennial kelp <i>Macrocystis pyrifera</i> revealed that <i>N. luetkeana </i>had significantly higher carbon fixation, DOC production and nitrogen uptake rates per unit dry mass. Both kelp species were able to perform light-independent carbon fixation at night. Carbon fixation by the annual kelp <i>N. luetkeana </i>is as high as 2.35 kg C m<sup>-2</sup> yr<sup>-1</sup>, but an average of 16% of this carbon (376 g C m<sup>-2</sup> yr<sup>-1</sup>) is released as DOC. As kelp forests are increasingly viewed as vehicles for carbon sequestration, it is important to consider the fate of this substantial quantity of DOC released by canopy-forming kelps.</p>

opencc-zeroOct 2020View details →
zenodo32/100

doc prova

<p>doc de prova</p>

opencc-zeroJul 2016View details →
zenodo32/100

Soil dissolved organic carbon (DOC) machine learning model code

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2024View details →
zenodo32/100

G4D-DOC: A global four-dimensional gridded dataset of ocean dissolved oxygen concentrations retrieval from Argo profiles

<p>Based on temperature and salinity observations from Argo floats, this dataset uses machine-learning methods to reconstruct global ocean dissolved oxygen (DO) concentrations.<br><strong>This version only provides monthly-scale netCDF format data for everyone's use. If you need other time scales, please check previous versions.</strong></p> <h2>Spatiotemporal Characteristics</h2> <ul> <li> <p><strong>Time range:</strong> 2005&ndash;2022, <strong>monthly</strong> fields.</p> </li> <li> <p><strong>Geographic range:</strong> Global oceans <strong>excluding the Arctic Ocean</strong>, from 90&deg;S to 84&deg;N and 180&deg;W to 180&deg;E.</p> </li> <li> <p><strong>Horizontal resolution:</strong> 1&deg; &times; 1&deg; (regular grid).</p> </li> <li> <p><strong>Vertical levels (26):</strong> 10, 20, 30, 40, 50, 75, 100, 125, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500, 1750, 1995dbar .</p> </li> </ul> <h2>Data Format &amp; Conventions</h2> <ul> <li> <p><strong>Format:</strong> NetCDF4</p> </li> <li> <p><strong>Coordinate conventions:</strong></p> <ul> <li> <p><code>lat</code> (Y axis): 89.5 &rarr; &minus;89.5 (descending)</p> </li> <li> <p><code>lon</code> (X axis): converted to <strong>&minus;180 &rarr; 180</strong> (1&deg; centers)</p> </li> <li> <p><code>depth</code>: ascending (matching the 26 target levels)</p> </li> </ul> </li> <li> <p><strong>Units:</strong> DO in <strong>&mu;mol/kg</strong> (<code>umol kg-1</code>).</p> </li> </ul> <h2>Variables &amp; Dimensions</h2> <ul> <li> <p><strong>Variables kept:</strong> <code>DO</code>, <code>depth</code>, <code>lat</code>, <code>lon</code> (with a single-valued <code>time</code> coordinate).</p> </li> <li> <p><strong>DO dimensions:</strong> <code>(time, depth, lat, lon)</code>.</p> </li> </ul> <h2>Filenames</h2> <ul> <li> <p><strong>Pattern:</strong> <code>G4D_DOC_YYYY_MM.nc</code><br><em>Example:</em> <code>G4D_DOC_2005_07.nc</code> contains the field for <strong>July 2005</strong>.</p> </li> </ul> <h2>Citation &amp; Disclaimer</h2> <p>Please cite the dataset and relevant literature when using it in publications or products.<br>Recommended citation (example):</p> <blockquote> <p>Xue, C., &amp; Wang, Z. (2025). <em>A global four-dimensional gridded dataset of ocean dissolved oxygen concentrations retrieval from Argo profiles</em> (Monthly NetCDF version). Zenodo. <a target="_new" rel="noopener">https://doi.org/</a>10.5281/zenodo.13920233</p> </blockquote> <p>The data producers are not responsible for any losses arising from data use. Map boundaries or masks do not imply official positions.</p> <h2>Contacts</h2> <ul> <li> <p><strong>Cunjin Xue</strong> &mdash; <a rel="noopener">xuecj@aircas.ac.cn</a></p> </li> <li> <p><strong>Zhenguo Wang</strong> &mdash; <a rel="noopener">zgwang24@m.fudan.edu.cn</a></p> </li> </ul>

openJan 2024View details →
zenodo32/100

The data of precipitation, stream discharge, groundwater level, and DOC and DIC concentrations and DOM optical indices of water in the Hulugou catchemnt, upper reaches of Heihe River

<p>Here&nbsp;we&nbsp;provide&nbsp;the&nbsp;original&nbsp;data&nbsp;of the precipitation,&nbsp;stream&nbsp;discharge,&nbsp;air temperature, dissolved organic carbon concentrations&nbsp;and&nbsp;dissolved inorganic carbon&nbsp;concentrations and DOM optical indices&nbsp;of water at&nbsp;different&nbsp;locations&nbsp;in&nbsp;the&nbsp;Hulugou&nbsp;catchment,&nbsp;upper&nbsp;reaches&nbsp;of&nbsp;Heihe&nbsp;River,&nbsp;Northeastern&nbsp;Tibet&nbsp;Plateau,&nbsp;China.</p>

opencc-by-4.0Sep 2022View details →
zenodo32/100

Global riverine DOC flux by TRIPLEX-HYDRA model and a comparison with a published DOC database

<p>A database of global riverine DOC flux simulated by TRIPLEX-HYDRA model. And the temporal variation of riverine DOC flux in terms of different continents, oceans and latitudinal bands.&nbsp;</p>

opencc-by-sa-4.0Apr 2018View details →
zenodo32/100

FIGURE 9. Two individual cormidia from Doc Ricketts Dive 552 in Description of Tottonophyes enigmatica gen. nov., sp. nov. (Hydrozoa, Siphonophora, Calycophorae), with a reappraisal of the function and homology of nectophoral canals

FIGURE 9. Two individual cormidia from Doc Ricketts Dive 552 specimen of Tottonophyes enigmatica sp. nov. Scale bars 1 mm.

opennotspecifiedDec 2018View details →
zenodo32/100

Data used in The impact of variable DOC concentrations on acidification assessments

<p>Data used in Stadmark et al. The impact of variable DOC concentrations on acidification assessments.</p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

8-day Vegetation optical depth (VOD) and normalised difference vegetation index (NDVI)- based estimated degree of curing (DOC) for Australia

<p>This is a gridded degree of curing (DOC) dataset over Australia based on vegetation optical depth (VOD) and normalised difference vegetation index (NDVI) that can reasonably reproduce groundbased observations in space and time.</p> <p>The gridded DOC data is produced via estimation models using the VOD dataset from AMSR-E (0.1 degree; 8-day) and NDVI dataset from MODIS Terra MOD09A1 (0.005 degree; 8-day). The estimation models are derived from the calibration and evaluation of VOD and NDVI datset with field observed DOC over Australia. Matlab was used for the calibration and evaluation of these models.</p> <p>There are 2 variations based on the following estimation models: DOC_M1 = 145.57-260.82(NDVI)+137.19(VOD)(NDVI) DOC_M2 = 48.70+147.60(VOD)-259.95(VOD)(NDVI) The domain covered is Australia with a 0.05 degree spatial resolution. Temporal resolution is 8-day composites from 04/07/2002 to 26/06/2011 .</p> <p>These experiments were executed by Waisin Chaivaranont of the ARC Centre of Excellence for Climate System Science (ARCCSS) research program &quot;The role of land surface forcing and feedbacks for regional climate&quot;.</p>

opencc-by-nc-nd-4.0Dec 2017View details →
ClinicalTrials.gov32/100

Multichannel tDCS to Reduce Hypertonia in Patients With Prolonged DOC

ClinicalTrials.gov study NCT03797573. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Stroke DOC Arizona TIME - Stroke Team Remote Evaluation Using a Digital Observation Camera

ClinicalTrials.gov study NCT00623350. IPD Sharing: Not stated. Countries: 1. Publications: 6.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Guided Self-Help Obesity Treatment in the Doctor's Office - GOT Doc

ClinicalTrials.gov study NCT02976454. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →

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