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11 results for “nutrient flows”

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zenodo44/100

River flows and nutrient discharges to the Atlantic ocean basin

<p>This dataset includes i) River flows and ii) nutrient discharges to the Atlantic ocean basin:</p> <p><strong>River flow</strong> data are a subset of the WaterGAP 2.2d model (Monthly data on a 0.5&deg; x 0.5&deg; grid between 90&deg;N and 60&deg;S. 1901&ndash;2016) (M&uuml;ller Schmied et al. 2020)</p> <p>The original watergap2.2d data is provided in netcdf format. Our postprocessing includes the selection of the coastal cells and the extraction of the monthly values in these cells. The resulting dataset is provided as a shapefile (Global_YearMonthly_River_flow_watermap22_coast.shp), including Date, latitude and longitude of the coastal cell&rsquo;s centroids and the discharge values (m3s-1).</p> <p>Watergap2.2d outputs&nbsp;offers a very good spatio-temporal extent and resolution, and according to the M&uuml;ller Schmied et al. 2020, the validation results for streamflow (or discharges values) are reasonably satisfactory, although there is some spatial variability in the performance results. Moreover, the recently published &ldquo;Global Freshwater Fluxes into the World&#39;s Oceans (GRDC, 2021)&rdquo; product and paper, uses the yearly outcomes of this model, which has also supported our selection.</p> <p><strong>River nutrient discharges</strong> are a subset of observations from the &ldquo;Global River Water Quality Archive&rdquo;. (<a href="https://essd.copernicus.org/preprints/essd-2021-51/">Virro et al, 2021</a>), that among the publicly available and downloadable datasets, gathers the highest number of observations as includes data from different international and national databases.</p> <p>The GRQA data is provided as csv files (one file for each nutrient). These files have been processed to subset only observations at stations near the coastline. To do this a intersection between station locations and a buffer of 0.2 degrees around the coastline has been made. For each nutrient, a shapefile with the subsetted observations is provided.</p> <p>All shapefiles provided are accompanied by a &ldquo;.qmd&rdquo; file that includes metadata information in QGIS 3 format.</p>

opencc-by-4.0Jun 2022View details →
zenodo40/100

Annex of D1.1 - Nutrient flow analysis and transfer model

<p>The annex of deliverable D1.1 includes all the detailed information used in D1.1: First the assessment of Nitrogen and Phosphorus releases from urban and industrial wastewater using 2 different data sources, the E-PRTR and the WaterBase, and then the evaluation of crop nutrient needs for different crop categories at NUTS2 level for the countries involved in the project.</p>

opencc-by-4.0Sep 2023View details →
zenodo36/100

Tara Nutrient and Flow Cytometry Data

<p>&quot;Tara Oceans systematically collected ~35,000 samples for morphological, genetic, and environmental analyses using standardized protocols across multiple depths at global scale, aiming to facilitate a holistic study on how environmental factors and biogeochemical cycles affect oceanic life. ... Tara Oceans collected seawater samples within the epipelagic layer, both from the surface water and the deep chlorophyll maximum (DCM) layers, as well as the mesopelagic zone.&quot; (1)<br> Data provided for time, lat, and lon are mean values based on CTD casts that matched closest in location and depth of the actual sampling locations. This dataset includes environmental, nutrient, diversity, and flow cytometry data associated with samples found in the Tara Eukaryote Annotated 18s OTU Counts and Tara Prokaryote Annotated 16s OTU Counts datasets.</p> <p>(1) https://www-science-org.offcampus.lib.washington.edu/doi/full/10.1126/science.1261359</p>

opencc-by-4.0Aug 2023View details →
dryad36/100

A new method to reconstruct quantitative food webs and nutrient flows from isotope tracer addition experiments

Open the record for dataset details and reuse information.

publicJan 2020View details →
dryad32/100

Data from: Cold adaptation increases rates of nutrient flow and metabolic plasticity during cold exposure in Drosophila melanogaster

Metabolic flexibility is an important component of adaptation to stressful environments, including thermal stress and latitudinal adaptation. A long history of population genetic studies suggest that selection on core metabolic enzymes may shape life histories by altering metabolic flux. However, the direct relationship between selection on thermal stress hardiness and metabolic flux has not previously been tested. We investigated flexibility of nutrient catabolism during cold stress in Drosophila melanogaster artificially selected for fast or slow recovery from chill coma (i.e. cold-hardy or -susceptible), specifically testing the hypothesis that stress adaptation increases metabolic turnover. Using 13C-labelled glucose, we first showed that cold-hardy flies more rapidly incorporate ingested carbon into amino acids and newly synthesized glucose, permitting rapid synthesis of proline, a compound shown elsewhere to improve survival of cold stress. Second, using glucose and leucine tracers we showed that cold-hardy flies had higher oxidation rates than cold-susceptible flies before cold exposure, similar oxidation rates during cold exposure, and returned to higher oxidation rates during recovery. Additionally, cold-hardy flies transferred compounds among body pools more rapidly during cold exposure and recovery. Increased metabolic turnover may allow cold-adapted flies to better prepare for, resist and repair/tolerate cold damage. This work illustrates for the first time differences in nutrient fluxes associated with cold adaptation, suggesting that metabolic costs associated with cold hardiness could invoke resource-based trade-offs that shape life histories.

opencc-zeroDec 2015View details →
zenodo32/100

Integrated Modeling of Flow, Soil Erosion, and Nutrient Dynamics in a Regional Watershed: Assessing Natural and Human-Induced Impacts

<p>Attached file is the verification data for the submitted manuscript "Integrated Modeling of Flow, Soil Erosion, and Nutrient Dynamics in a Regional Watershed: Assessing Natural and Human-Induced Impacts" .</p>

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

Nutrient Flows in the French Sanitation System

<p>Code and generated results for nitrogen and phosphorus flows analysis of the French sanitation system. Produced from multiple data sources: wastewater treamtent plats operational data, industry discharges to sewers, food intake surveys...</p>

opencc-by-4.0May 2023View details →
dryad32/100

Data from: Cold adaptation increases rates of nutrient flow and metabolic plasticity during cold exposure in Drosophila melanogaster

Open the record for dataset details and reuse information.

publicAug 2016View details →
geo24/100

Transcriptomic profiling of mouse PDAC cells flow sorted from an orthotopic murine tumor model, cultured in standard celll culture nutrients or in physiological nutrients

GEO Series GSE199163. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2022View details →
zenodo24/100

Dataset: Daily Flows and Nutrients Loads in the Sprague River Basin, WY2002-2020

<p>Daily flows and nutrient (phosphorus, nitrogen, total suspended solids) loads were estimated for multiple locations in the Sprague River Basin (OR) over water year (WY) 2002-2020. These timeseries were computed using continuous and biweekly flow data in combination with biweekly nutrient measurements collect by Klamath Tribes at eight sampling stations across the basin. The estimated timeseries were then used as a basis to investigate the spatial and temporal dynamics of nutrient concentrations and loads, estimate relative amounts of background and anthropogenic loading, assess the potential impacts of the Klamath Tribes' water rights calls on instream flow and water quality in recent years, and evaluate long-term trends at each sampling station within the Sprague River basin.</p> <p>The data sources and methodologies used to generate this dataset are described in the following report:</p> <blockquote> <p>Walker, J.D. and J. Kann (2022). Spatial and Temporal Nutrient Loading Dynamics in the Sprague River Basin, OR, Water Years 2002 &ndash; 2020. Technical Report prepared for the Klamath Tribes Natural Resources Department. 114p. + appendices. <a href="https://doi.org/10.5281/zenodo.7377353">https://doi.org/10.5281/zenodo.7377353</a></p> </blockquote> <p>Source code available here: <a href="https://github.com/walkerjeffd/sprague-nutrient-dynamics">https://github.com/walkerjeffd/sprague-nutrient-dynamics</a></p> <p>See README.txt for details about each file including column descriptions.</p>

restrictedcc-by-4.0Sep 2022View details →
ClinicalTrials.gov24/100

Fetal Distribution of Feto-placental Blood Flow Related to Placental Nutrient Transport and Maternal Food Intake

ClinicalTrials.gov study NCT04215107. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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