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  • 2015-2019  (48,477)
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  • 1
    Publication Date: 2023-01-30
    Keywords: Ammonium; Code; DATE/TIME; DEPTH, water; Estuary; Event label; Location; MULT; Multiple investigations; Nitrogen oxide; nitrous oxide; Oxygen; P1; P10; P4; POJO_P1; POJO_P10; POJO_P4; POJO_STF; Salinity; Station label; STF; Temperature, water; Uusimaa, Finland
    Type: Dataset
    Format: text/tab-separated-values, 336 data points
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  • 2
    Publication Date: 2023-01-30
    Keywords: Absorption coefficient, 254 nm; Biological index; Calculated; Carbon, organic, dissolved; DATE/TIME; DOM; Estuary; Event label; Fluorescence; Humification index; Location; MULT; Multiple investigations; P1; P10; P4; POJO_P1; POJO_P10; POJO_P4; POJO_STF; sediment organic matter; Specific ultraviolet absorbance normalized to DOC, 254 nm; Spectral slope, 275-295 nm; Station label; STF; Uusimaa, Finland
    Type: Dataset
    Format: text/tab-separated-values, 152 data points
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  • 3
    Publication Date: 2023-12-15
    Description: Coastal environments are considered to be nitrogen (N) removal hot spots, regulating the amount of land-derived N reaching the open sea. However, gradual mixing of fresh and saline water masses alters the availability nitrate and bioavailable carbon from near-shore to offshore, which may alter the function of "coastal filter". Here, we combine stable isotope analysis, N2O measurements and organic carbon characterization, and show that a significant amount of the N removed in estuary is released as greenhouse gas nitrous oxide (N2O), while archipelago areas are characterized by efficient recycling of N in coastal Baltic Sea, challenging the current understanding on role of these regions as filters of land-to-sea transfer of N.
    Keywords: Denitrification; DNRA; DOM; Estuary; nitrous oxide; sediment organic matter
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 4
    Publication Date: 2023-12-15
    Keywords: DATE/TIME; Denitrification; DEPTH, water; Estuary; Event label; MULT; Multiple investigations; nitrous oxide; Nitrous oxide; P4; POJO_P4; POJO_STF; Station label; STF; Uusimaa, Finland
    Type: Dataset
    Format: text/tab-separated-values, 710 data points
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  • 5
    Publication Date: 2023-12-15
    Keywords: DATE/TIME; Denitrification; Denitrification rate; Denitrification rate, N2O-producing; Denitrification rate, N2-producing; Dissimilatory nitrate reduction to ammonium rate; DNRA; DOM; Estuary; Event label; Location; MULT; Multiple investigations; Nitrate reduction rate, total; nitrous oxide; P1; P10; P4; Percentage; POJO_P1; POJO_P10; POJO_P4; POJO_STF; sediment organic matter; Station label; STF; Uusimaa, Finland
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 6
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    PANGAEA
    In:  Supplement to: Ab Lah, Roslizawati; Kelaher, Brendan P; Bucher, Daniel; Benkendorff, Kirsten (2018): Ocean warming and acidification affect the nutritional quality of the commercially-harvested turbinid snail Turbo militaris. Marine Environmental Research, 141, 100-108, https://doi.org/10.1016/j.marenvres.2018.08.009
    Publication Date: 2024-03-15
    Description: Rising levels of atmospheric carbon dioxide are driving ocean warming and acidification. This could cause stress resulting in decreases in nutritional quality of marine species for human consumption, if environmental changes go beyond the optimal range for harvested species. To evaluate this, we used ambient and near-future elevated temperatures and pCO2 to assess impacts on the proximate nutritional composition (moisture, ash, protein, and lipids), fatty acids and trace elements of the foot tissue of Turbo militaris, a commercially harvested marine snail from south-eastern Australia. In a fully orthogonal design, the snails were exposed to ambient seawater conditions (22 ± 0.2 °C, pH 8.13 ± 0.01–450 μatm pCO2), ocean warming (25 ± 0.05 °C), pCO2 ocean acidification (pH 7.85 ± 0.02, ∼880 μatm pCO2) or a combination of both in controlled flow-through seawater mesocosms for 38 days. Moisture, ash, protein and total lipid content of the foot tissue in the turban snails was unaffected by ocean warming or acidification. However, ocean warming caused a reduction in healthful polyunsaturated fatty acids (PUFA) relative to saturated fatty acids (SFA). Under future warming and acidification conditions, there was a significant 3–5% decrease in n–3 fatty acids, which contributed to a decrease in the n–3/n–6 fatty acid ratio. The decrease in n–3 PUFAs, particularly Eicopentanoic acid (EPA), is a major negative outcome from ocean warming, because higher n–3/n–6 ratios in seafood are desirable for human health. Furthermore, ocean warming was found to increase levels of zinc in the tissues. Calcium, iron, macroelements, microelements and the composition of toxic elements did not appear to be affected by ocean climate change. Overall, the major impact from ocean climate change on seafood quality is likely to be a decrease in healthy polyunsaturated fatty acids at higher temperatures.
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Ash; Ash, standard error; Benthic animals; Benthos; Bicarbonate ion; Bicarbonate ion, standard deviation; Biomass/Abundance/Elemental composition; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Coffs_Harbour; Condition index; Condition index, standard error; Elements; EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Laboratory experiment; Lipids; Lipids, standard error; Macroelements, per fresh mass; Macroelements, standard error; Meat yield; Meat yield, standard error; Mesocosm or benthocosm; Microelements, per fresh mass; Microelements, standard error; Moisture; Moisture, standard error; Mollusca; Name; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Percentage; Percentage, standard error; pH; pH, standard deviation; Proteins; Proteins, standard error; Registration number of species; Salinity; Single species; South Pacific; Species; Temperate; Temperature; Temperature, water; Temperature, water, standard deviation; Toxic elements, per fresh mass; Toxic elements, standard error; Treatment; Turbo militaris; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 7392 data points
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  • 7
    Publication Date: 2024-01-26
    Description: This data set contains measurements of carbon and nitrogen concentrations in aboveground plant biomass. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plot size was reduced to 5 x 6 m and plots were weeded three times per year. Aboveground plant biomass was harvested twice in May and August at estimated peak standing biomass before mowing. Plants were clipped at 3 cm above ground level in four rectangles of 20 x 50 cm size per plot. All material was sorted to species, weeds and rest (dead). Samples were dried at 70 °C for at least 48 h and weeds and rest were thrown away. All other material from one plot was combined to one sample and cut up with an analysis mill (Kinematica, Littau, Schweiz). A small subsample of this material was milled to fine powder in a ball-mill (Retsch MM 400). From the milled material max. 5 mg were weighed in for CN analysis. Carbon and nitrogen concentrations of this subsample were then determined with an elemental analyzer (Flash EA 112 Thermo). In 2010, phosphorous and potassium concentrations were measured additionally. For this purpose, a subsample of the dried and cut material was milled and digested with HNO3 at 200 °C and at about 600-700 MPa using the microwave-assisted high pressure digestion unit (Ethos, Mikrowellen-Laborsysteme (MLS), Leutkirch, Germany). Phosphorus concentrations were determined in a Continuous Flow Analyzer, AA3-system (Bran and Lübbe, Hamburg-Norderstedt, Germany). For K measurement, atom absorption spectroscopy (AAS, Zeenit 700P, Analytik Jena, Jena, Germany) was used.
    Keywords: Carbon; Date/time end; Date/time start; EXP; Experiment; Experimental plot; HEIGHT above ground; Height aboveground, maximum; Height aboveground, minimum; Jena Experiment 2010; JenExp; JenExp_2010; Nitrogen, total; Phosphorus; Potassium; The Jena Experiment; Thuringia, Germany; Treatment: aboveground: pesticide; Treatment: below pesticide; Treatment: drought; Treatment: eartworm exclosure; Treatment: fertilizing; Treatment: molluscide; Treatment: mowing; Treatment: nematicide; Treatment: phytometers; Treatment: seed addition; Treatment: special; Treatment: weeding; Treatment: weeding history
    Type: Dataset
    Format: text/tab-separated-values, 3608 data points
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  • 8
    Publication Date: 2024-01-26
    Description: This data set contains measurements of carbon and nitrogen concentrations in aboveground plant biomass. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plot size was reduced to 5 x 6 m and plots were weeded three times per year. Aboveground plant biomass was harvested twice in June and August at estimated peak standing biomass before mowing. Plants were clipped at 3 cm above ground level in four rectangles of 20 x 50 cm size per plot. All material was sorted to species, weeds and rest (dead). Samples were dried at 70 °C for at least 48 h and weeds and rest were thrown away. All other material from one plot was combined to one sample and cut up with an analysis mill (Kinematica, Littau, Schweiz). A small subsample of this material was milled to fine powder in a ball-mill (Retsch MM 400). From the milled material max. 5 mg were weighed in for CN analysis. Carbon and nitrogen concentrations of this subsample were then determined with an elemental analyzer (Flash EA 112 Thermo).
    Keywords: Carbon; Date/time end; Date/time start; EXP; Experiment; Experimental plot; HEIGHT above ground; Height aboveground, maximum; Height aboveground, minimum; Jena Experiment 2011; JenExp; JenExp_2011; Nitrogen, total; The Jena Experiment; Thuringia, Germany; Treatment: aboveground: pesticide; Treatment: below pesticide; Treatment: drought; Treatment: eartworm exclosure; Treatment: fertilizing; Treatment: molluscide; Treatment: mowing; Treatment: nematicide; Treatment: phytometers; Treatment: seed addition; Treatment: special; Treatment: weeding; Treatment: weeding history
    Type: Dataset
    Format: text/tab-separated-values, 3272 data points
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  • 9
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    PANGAEA
    In:  Water and Sanitation Agency Lahore | Supplement to: Abbas, Zainab; Mapoma, Harold Wilson Tumwitike; Su, Chunli; Aziz, Syed Zahid; Abbas, Naaz (2018): Spatial analysis of groundwater suitability for drinking and irrigation in Lahore, Pakistan. Environmental Monitoring and Assessment, 190(7), https://doi.org/10.1007/s10661-018-6775-3
    Publication Date: 2023-03-14
    Description: The dataset provides detailed information on the study that was conducted in Lahore's 7 major towns. The sample was taken from 472 tubewells and analyzed for major cations and anions using APHA 2012 techniques as explained herein. Besides, E.coli determination was done to check for microbial contamination. The data includes results from PHREEQC modeling of As(III)/ As(V) species and saturation indices as well as Aquachem's computed hydrochemical water facies. The WHO (2011) and EPA standards included in Aquachem identified the parameters that where in violation. Bicarbonates dominated the groundwater types with 50.21% of the samples exceeding the EPA maximum permissible limit of 250 mg/L in drinking water. Similarly, 30.51% of the samples had TDS values greater than 500 mg/L while 85.38 % of the samples exceed 10 µg/L threshold limit value of arsenic. Also, instances of high magnesium hazard values were observed which requires constant assessment if the groundwater is used for irrigation. Higher than 50% MH values are detrimental to crops which may reduce the expected yields. The membrane filtration technique using m-Endo Agar indicated that 3.59% samples had TNC (too numerous to count) values for E.coli while 5.06% showed values higher than 0 cfu/ 100 ml acceptable value in drinking water. Any traces of E-coli in a groundwater sample indicate recent fecal contamination. Such outcomes signify presence of enteric pathogens. If the groundwater is not properly dosed with disinfectants it may cause harm to human health. It is concluded that more studies are needed and proper groundwater management implement to safeguard the lives of communities that depend solely on groundwater in the city.
    Keywords: Acid Base titration; Anhydrite; AquaChem; Aragonite; Area/locality; Argentometric method; Arsenic; Arsenic(III); Arsenic(V); Automated hydrazine reduction method; Bicarbonate ion; Calcite; Calcium; Calculated; Chloride; Comment; Conductivity, electrical; DATE/TIME; Dolomite; EDTA titration method; Escherichia coli in colony forming units; Flame photometry; Fluoride; Fluorite; Geographic name/locality; Gravimetric analysis; Gypsum; Halite; Hand held digital pH meter; Hardness of water; ICP-OES, Inductively coupled plasma - optical emission spectrometry; Lahore_Towns; LATITUDE; LONGITUDE; Magnesium; Magnesium hazard; Membrane filtration technique using m-Endo Agar; Microcomputer based meter (JENCO); Nitrate; Nitrite; Number; Pakistan; pH; PHREEQC modeling; Portable microprocessor turbidity meter (Hanna Instruments); Potassium; Sample code/label; Sodium; Sodium absorption ratio; SPADNS method; Spectrophotometric method (NOVA); Station label; Sulfate; Total dissolved solids; Turbidity (Nephelometric turbidity unit); Type; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 15841 data points
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  • 10
    Publication Date: 2023-01-30
    Description: The Food and Agriculture Organization of the United Nations (FAO) and the International Institute for Applied Systems Analysis (IIASA) combined the available regional and national soil information with the data already contained within the 1:5,000,000 scale FAO-UNESCO map, into a new comprehensive Harmonized World Soil Database (HWSD_v121). This map has a resolution of about 1 km (30 arc seconds) and consists of a 30-cm topsoil layer, and a 70-cm subsoil layer. The soil variables provided in the Harmonized World Soil Database (2009) and FAO/UNESCO Soil Map of the World included soil texture (%sand, %silt, %clay), organic carbon, pH, and EC. However, from a hydrological point of view, we are in need of parameters such as bulk density, water storage capacity, and hydraulic conductivity for different soil layers. Hence, we have used various pedotransfer functions from the literature to estimate the soil parameters needed in a Soil and Water Assessment Tool (SWAT model). The associated SWAT2012.mdb and lookup table is available at 2w2e GmbH website. The link to the database: https://www.2w2e.com/home/GlobalSoilHwsd
    Keywords: Global Soil Map; Harmonized World Soil Database; SWAT; SWAT-CUP
    Type: Dataset
    Format: application/vnd.rar, 21.2 MBytes
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