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135 results for “POC”
Particulate organic carbon (POC) and nitrogen (PON) from Northeast U.S. Shelf Long Term Ecological Research (NES-LTER) Transect cruises, ongoing since 2017
Particulate organic carbon and nitrogen are measured from discrete bottle samples collected during CTD-rosette casts on Northeast U.S. Shelf Long-Term Ecological Research (NES-LTER) Transect cruises (ongoing since 2017). Sampling frequency is approximately seasonal. Samples were filtered and collected on combusted glass fiber filters, pelletized using ultra clean tin disks, and combusted using a Flash EA1112 CHN analyzer to calculate concentrations of particulate organic carbon and particulate organic nitrogen in micromoles per liter. Values are also reported as concentrations in micrograms per liter and carbon to nitrogen molar ratio.
Particulate organic carbon (POC) concentration in meltwater runoff of Leverett Glacier, Russell Glacier, and Isunnguata Sermia, southwest Greenland (2009-2018)
<p>This dataset describes particulate organic carbon (POC) and particulate carbon (PC) concentrations of suspended sediments in the proglacial rivers of 3 land-terminating glaciers in the Kangerlussuaq area, Southwest Greenland: Leverett Glacier (LG), Leverett River; Russell Glacier (RG), Akuliarusiarsuup Kuua; and Isunnguata Sermia (IS), Isortoq River. Both the Leverett River and Akuliarusiarsuup Kuua are tributaries of the Qinnguata Kuussua (also known as Watson River). The data have already been part of 3 different publications (Lawson et al. 2014, Kohler et al. 2017, and Vrbická et al. 2022) but are archived here for the first time.</p> <p>POC data was collected for LG during the 2009 and 2010 melt seasons (Lawson et al. 2014) as well as 2015 (Kohler et al. 2017). For the 2018 melt season, only total carbon concentrations of suspended sediments (PC) is archived as opposed to POC (see Vrbická et al. 2022).</p>
Particulate organic carbon (POC) and nitrogen (PON) concentrations in discrete water column samples collected from lakes in the McMurdo Dry Valleys, Antarctica (1993-2024, ongoing)
An important part of the McMurdo Long Term Ecological Research (LTER) is evaluating carbon and nitrogen budgets in perennial ice-covered lakes. This dataset addresses this core area of research and quantifies the particulate organic carbon (POC) and nitrogen (PON) found at specific depths in lakes across the McMurdo Dry Valleys of Antarctica.
POC detection training data and weights
<p>The data and labels used to train the POC detection <a href="https://github.com/climate-processes/poc-detection">algorithm </a>used in support of this publication: https://doi.org/10.1029/2020GL092213. The associated model weights were also saved after training to aid reproducibility.</p>
Primary production estimates from 14C uptake (in situ), determined by the incorporation of inorganic carbon into particulate organic carbon (POC) due to photosynthesis at selected light levels from CCE LTER process cruises in the California Current System, 2006 - 2021 (ongoing).
Primary productivity samples of seawater are taken each day shortly before noon on the CTD rosette up-cast during the CCE Process crusies (since 2006, ongoing). Light penetration below the surface is estimated from the Secchi disk depth. Niskin bottles from depths with ambient light intensities corresponding to light levels simulated by on-deck incubators are identified and sampled. Primary production is estimated from 14C uptake using this simulated in situ technique (followed by filtering) by which the assimilation of dissolved inorganic carbon by phytoplankton yields a measure (in µg/L/day) of the rate of photosynthetic primary production (particulate organic carbon, POC) at selected light levels in the euphotic zone within the CCE study area.
Research Data Management Framework - POC-Study: Guideline and protocol
<p>Dataset for the following paper:<br><br>Proof-Of-Concept-Studie für das FDM in den Ingenieur:innenwissenschaften</p> <p><strong>Ein Forschungsdatenmanagement-Rahmenwerk</strong><br>T. Hamann, C. Florides, A. Abdelrazeq, R. H. Schmitt</p> <p>Forschungsdatenmanagement (FDM) gewinnt seit Jahren an Bedeutung. Das Ziel, Daten wiederverwendbar aufzubereiten und nachzunutzen anstatt sie aufwändig neu zu erheben, wird von Forschenden der deutschen Ingenieur:innenwissenschaften jedoch nur selten verfolgt. Um dem entgegenzuwirken, wurde ein Rahmenwerk für das FDM in den Ingenieur:innenwissenschaften entwickelt. In einer Proof-Of-Concept-Studie soll dieses nun erstmals anhand des Forschungsprojekts KIOptiPack validiert werden.</p> <p><strong>A Research Data Management Framework</strong></p> <p>Research data management (RDM) has been gaining in importance for years. However, the goal of preparing data sustainably and reusing existing data instead of laboriously collecting it from scratch is rarely pursued by researchers in the German engineering sciences. To counteract this, a framework for RDM in the engineering sciences was developed. In a proof-of-concept study, this framework will be validated for the first time using the research project KIOptiPack.<br>Stichwörter: Forschung, Informationsmanagement, Digitalisierung<br><br><br>The authors would like to thank the Federal Government and the Heads of Government of the Länder, as well as the Joint Science Conference (GWK), for their funding and support within the framework of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number 442146713.</p>
PoC Study to Evaluate the Efficacy and Safety of Secukinumab 300 mg in Patients With Lichen Planus
ClinicalTrials.gov study NCT04300296. IPD Sharing: YES. Countries: 3. Publications: 3.
Global oceanic seamless POC concentration products derived from MODIS-Aqua
<p>The dataset integrates seamless POC concentration daily products for the global ocean from 2011 to 2016, derived from MODIS-Aqua‘s XGBoost satellite retrieval products. The POC concentration in the product used int32 to integer data, specifically, the raw POC concentration (mg m-3) is first multiplied by 10000 and then rounded using int32.</p>
Global oceanic seamless POC concentration products derived from MODIS-Aqua
<p>The dataset integrates seamless POC concentration daily products for the global ocean from 2003 to 2010, derived from MODIS-Aqua‘s XGBoost satellite retrieval products. It covers the time span from 2003 to 2010. The POC concentration in the product used int32 to integer data, specifically, the raw POC concentration (mg m-3) is first multiplied by 10000 and then rounded using int32.</p>
Global oceanic seamless POC concentration products derived from MODIS-Terra
<p>The dataset integrates seamless POC concentration daily products for the global ocean from 2001 to 2008, derived from MODIS-Terra‘s XGBoost satellite retrieval products. The POC concentration in the product used int32 to integer data, specifically, the raw POC concentration (mg m-3) is first multiplied by 10000 and then rounded using int32.</p>
Global 1° × 1° map of vertical POC flux profiles simulated by the MSPACMAM
<p>Model output data generated by two different configurations of the MSPACMAM: (1) the standard model configuration (so-called <em>std</em> configuration) and (2) the model configuration including large particle fragmentation (so-called <em>frag</em> configuration). The MSPACMAM simulates the climatological annual mean state of sinking particulate organic carbon (POC) fluxes in the contemporary global ocean. Model variables include small particle POC concentration, large particle POC concentration, small particle sinking speed, large particle sinking speed, sinking POC flux, and POC transfer efficiency at 1000 m (so-called <span class="math-tex">\(T_{eff}\)</span>).</p>
Plankton community respiration and POC in the Kuroshio east of Taiwan
<p><span>This dataset contains data </span>collected from six shipboard measurements taken from the R/V <em>Ocean Researcher I</em> between April 2014 and November 2015, which covered the entire season: April, July, September, and November 2014 and March, June, September, and November 2015 in the Kuroshio, east of Taiwan described in the paper: "Chung-Chi Chen, Pei-Ji Meng, Chih-hao Hsieh, Sen Jan (2022). Plankton community respiration and particulate organic carbon in the Kuroshio, east of Taiwan. <em>Plants</em>".</p> <p><span>The main results of this study included seven figures, which show: 1). The sampling stations; 2). Typical depth profile contour plots of temperature, nitrate, chlorophyll a and particulate organic carbon within 250 m water depth along the KTV1 transect in September 2015; 3). Temporal and spatial variations of the mean values of nitrate and phosphate across the KTV1 transect of the Kuroshio; 4). Temporal and spatial variations of the mean values of chlorophyll a, particulate organic carbon, and plankton community respiration across the KTV1 transect of the Kuroshio; 5). Relationships between the concentration of plankton community respiration vs. particulate organic carbon, chlorophyll a, heterotrophic bacterioplankton, and all picophytoplankton; 6). Relationships between the concentration of particulate organic carbon vs. chlorophyll a and picophytoplankton for all pooled data; and 7). Temporal and spatial variations of the mean values of picophytoplankton in terms of abundance and biomass across the KTV1 transect of the Kuroshio.</span></p>
Study to Verify Clinical Utility of Point-of-Care (POC) Thyroid Stimulating Hormone (TSH) Test Kits as Compared to Third Generation TSH Test Kit
ClinicalTrials.gov study NCT01921452. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Double Blind, Randomized, Controlled Study to Evaluate CHF 5633 (Synthetic Surfactant) and Poractant Alfa in Neonates With Respiratory Distress Syndrome (RDS) (POC)
ClinicalTrials.gov study NCT02452476. IPD Sharing: NO. Countries: 1. Publications: 1.
MDD POC Study GSK372475 Subjects Depressive Disease
ClinicalTrials.gov study NCT00420641. IPD Sharing: Not stated. Countries: 10. Publications: 1.
MMV390048 POC in Patients With P. Vivax and P. Falciparum Malaria
ClinicalTrials.gov study NCT02880241. IPD Sharing: NO. Countries: 1. Publications: 1.
A POC and Dose-Ranging Study of HTD1801 in PSC Patients
ClinicalTrials.gov study NCT03333928. IPD Sharing: NO. Countries: 2. Publications: 1.
POC Study in Partially Responsive Generalized Anxiety Disorder
ClinicalTrials.gov study NCT02310568. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Proof of Concept (POC) in Patients With Ischaemic Stroke
ClinicalTrials.gov study NCT01808261. IPD Sharing: YES. Countries: 4. Publications: 1.
Rutgers Pilot for PREDICT- Patient POC Test
ClinicalTrials.gov study NCT05612724. IPD Sharing: NO. Countries: 1. Publications: 2.
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International Brain Laboratory public data
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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.