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116 results for “fresh water”
Extended data for the paper: "SentemQC - A novel and cost-efficient method for quality assurance and quality control of high-resolution frequency sensor data in fresh waters"
<p>Extended data 1 to 4 for the software article:<br>SentemQC - A novel and cost-efficient method for quality assurance and quality control of high-resolution frequency sensor data in fresh waters. </p> <p>The extended data is tables and a Figure output and input from/to SentemQC runs relevant for the SentemQC paper.</p>
Projected fresh water use from the European energy sector on NUTS2 level by 2050 following EU Energy Reference Scenario 2016
<p>The dataset contains projections of fresh water withdrawal and consumption from the European energy sector on NUTS2 level by 2050 following EU Energy Reference Scenario 2016.</p> <p>The energy sector in this scope includes energy production (production of coal, oil and gas) and energy transformation in oil refineries and power plants (nuclear, solid fuels, oil, gas, biomass and geothermal).</p> <p>The information in provided on NUTS 2 level following the NUTS2 2013 definition.</p> <p>The dataset is explained in more detail in the report <a href="https://ec.europa.eu/jrc/en/publication/projected-fresh-water-use-european-energy-sector">Projected fresh water use from the European energy sector</a>.</p>
Hourly LC impacts - Fresh water Eutrophication - current mix and future scenarios
<p>Dataset on LCA results of electricity generation and supply in Italy for 2018, 2019 and 2020 (current mix) and two future scenarios (2030) - Fresh water Eutrophication, average demand perspective.</p> <p>Modelling materials and methods are described in the paper "Life-cycle assessment of current and future electricity supply in Italy: addressing average and marginal hourly demand".</p>
Concentrations of cyanotoxins in fresh water and fish
This dataset accompanies the publication Flores, N.M., T.R. Miller, and J.D. Stockwell. Accepted. A global analysis of the relationship between cyanotoxins in water and fish. Frontiers in Marine Science. doi: 10.3389/fmars.2018.00030 Cyanobacteria, the primary bloom-forming organisms in fresh water, elicit a spectrum of problems in lentic systems. The most immediate concern for people and animals are cyanobacterial toxins, which have been detected at variable concentrations in water and fish around the world. Cyanotoxins can transfer through food webs, potentially increasing the risk of exposure to people who eat fish from affected waters, yet little is known about how cyanotoxins fluctuate in wild fish tissues. We collated existing studies on cyanotoxins in fish and fresh water from lakes around the world into a global dataset to test the hypothesis that cyanotoxin concentrations in fish increase with water toxin concentrations. We limited our quantitative analysis to microcystins because data on other cyanotoxins in fish were sparse, but we provided a qualitative summary of other cyanotoxins reported in wild, freshwater fish tissues. We found a positive relationship between intracellular microcystin in water samples and microcystin in fish tissues that had been analyzed by assay methods (enzyme-linked immunosorbent assay and protein phosphatase inhibition assay). We expected microcystin to be found in increasingly higher concentrations from carnivorous to omnivorous to planktivorous fishes. We found, however, that omnivores generally had the highest tissue microcystin concentrations. Additionally, we found contrasting results for the level of microcystin in different tissue types depending on the toxin analysis method. Because microcystin and other cyanotoxins have the potential to impact public health, our results underline the current need for comprehensive and uniform detection methods for the analysis of cyanotoxins in complex matrices.
Figure 8 in Ultrastructure of the prosomal gland complex in unfed larvae of the fresh-water mite Limnesia maculata (Müller, 1776) (Acariformes, Limnesiidae)
Figure 8 Organization of the labyrinth of coxal glands in unfed larvaeL. maculata.TEM. a – Central portion of the labyrinth with a conspicuous central lumen filled with various membranous and granular structures. Scale bar – 2 μm; b – Portion of the labyrinth with a collapsed lumen penetrated by microvilli. Scale bar – 2 μm; c – Basal lamina penetrating between the gland cells at their base (arrow). Scale bar – 0.5µζ; d – Portion of the convoluted labyrinth showing semi-circled mutual invagination of the gland cells (arrow). Scale bar – 1 μm; e – The apical cell contact with hardly distinguishable septate junction (arrow). Note axial filaments within microvilli (arrowheads). Scale bar – 0.5 μm. gl – glycogen; gll – gland lumen; m – mitochondria; mg – midgut; mt – microtubules; mv – microvilli; n – nucleus; nu – nucleolus; rb – residual body; rer – rough endoplasmic reticulum.
Figure 1 in Ultrastructure of the prosomal gland complex in unfed larvae of the fresh-water mite Limnesia maculata (Müller, 1776) (Acariformes, Limnesiidae)
Figure 1 Podocephalic glands in unfed larvaeL. maculatain sagittal sections. TEM. a – Nearly axial section showing two medial glands located one after another as well as pharynx and chelicera. Scale bar – 20 μm; b – Section slightly apart from the axial line showing medial glands and podocephalic canal.Arrow indicates long extensions of the duct-forming cells flanking lateral lacunas of the intra-alveolar lumen. Scale bar – 10 μm; c – Section through the region of the origin of leg I showing the lateral and the ventral glands as well as the terminal bladder of the coxal gland in a nearly collapsed condition. Scale bar – 20 μm. amg – anterior medial gland; bl – bladder; br – brain; ch – chelicera; hem – hemocyte; ial – intra-alveolar lumen; lg – lateral gland; legI – leg I; ms – muscles; pc – podocephalic canal; ph – pharynx; pmg – posterior medial gland; schs – subcheliceral space; vg – ventral gland.
Fig 1A in Toxicological assessments of basic blue 3 dye in fresh water bivalve Lamellidens marginalis
Fig 1A: Section passing through gill of fresh water bivalve Lamellidensmarginalisfrom control group (400X). B: Effect of 40 ppm (LC0) of Basic Blue 3 on gill of fresh water bivalve Lamellidensmarginalis after 96 hours exposure (400X) C: Effect of 70 ppm (LC50) of Basic Blue 3 on gill of fresh water bivalve Lamellidenmarginalis after 96 hours exposure (400X)
Fig 2A in Toxicological assessments of basic blue 3 dye in fresh water bivalve Lamellidens marginalis
Fig 2A: Section passing through hepatopancreas of fresh water bivalve Lamellidens marginalis from control group (400X). B: Effect of 40 ppm (LC0) of Basic Blue 3 on hepatopancreas of fresh water bivalve Lamellidens marginalis after 96 hours exposure (400X) C: Effect of 70 ppm (LC50) of Basic Blue 3 on hepatopancreas of fresh water bivalve Lamellidens marginalis after 96 hours exposure (400X)
Fig 4A in Toxicological assessments of basic blue 3 dye in fresh water bivalve Lamellidens marginalis
Fig 4A: Photomicrogragh of gill cell of Lamellidens marginalis for 96 hours exposure; degree of damage class 0 B: Photomicrogragh of gill cell of Lamellidens marginalis for 96 hours exposure to 40 ppm concentration of Basic blue 3; degree of damage class 0 C: Photomicrogragh of gill cell of Lamellidens marginalis for 96 hours exposure to 70 ppm concentration of Basic blue 3; degree of damage class I
Fig 3A in Toxicological assessments of basic blue 3 dye in fresh water bivalve Lamellidens marginalis
Fig 3A: Section passing through gonad of fresh water bivalve Lamellidens marginalis from control group (400X). B: Effect of 40 ppm (LC0) of Basic Blue 3 on gonad of fresh water bivalve Lamellidens marginalis after 96 hours exposure (400X) C: Effect of 70 ppm (LC50) of Basic Blue 3 on gonad of fresh water bivalve Lamellidens marginalis after 96 hours exposure (400X)
Graph 1 in Toxicological assessments of basic blue 3 dye in fresh water bivalve Lamellidens marginalis
Graph 1: Changes in SODactivity in different tissues of fresh water bivalve, Lamellidens marginalis after acute exposure to basic blue 3(values are expressed in unit/mg protein/hour)
Graph 4 in Toxicological assessments of basic blue 3 dye in fresh water bivalve Lamellidens marginalis
Graph 4: DNA strand breaks in gill cells of Lamellidens marginalis after acute exposure to Basic blue 3.
Graph 2 in Toxicological assessments of basic blue 3 dye in fresh water bivalve Lamellidens marginalis
Graph 2: Changes in CAT activity in different tissues of fresh water bivalve, Lamellidens marginalis after acute exposure to basic blue 3 (values are inmmolH2O2/min/mg protein)
Graph 3 in Toxicological assessments of basic blue 3 dye in fresh water bivalve Lamellidens marginalis
Graph 3: Changes in GPx activityin different tissues of fresh water bivalve, Lamellidens marginalis after acute exposure to basic blue 3 (values are in mmol NADPH/min/mg protein)
Рис. 1. РаспоΛожение стационаров вбΛизи насеΛенных пунктов, в окрестностях которых собираΛись воΑные и почвенные пробы: 1 —ЗакатаΛа (41.755469 N, 46.658248 E; 2 — ИсмаиΛΛы (40.971043 N, 48.133806 E; 3 — ПиргуΛи (40.868328 N, 48.599481 E); 4 — АΛтыагач (40.942707 N, 49.027354 E); 5 — Шемаха (40.742370 N, 48.639842 E); 6 — Куба (41.424798 N, 48.487536 E) Fig 1. Location of Permanent Sampling Points near the settlements in the vicinity of which water and soil samples were collected: 1 — Zagatala (41.755469 N, 46.658248 E; 2 — Ismayilli (40.971043 N, 48.133806 E; 3 — Pirguli (40.868328 N, 48.599481 E); 4 — Altiagach (40.942707 N, 49.027354 E); 5 — Shemakha (40.742370 N, 48.639842 E); 6 — Сuba (41.424798 N, 48.487536 E) in Ciliates of fresh waters and soils of the Greater Caucasus (within Azerbaijan)
Рис. 1. РаспоΛожение стационаров вбΛизи насеΛенных пунктов, в окрестностях которых собираΛись воΑные и почвенные пробы: 1 —ЗакатаΛа (41.755469 N, 46.658248 E; 2 — ИсмаиΛΛы (40.971043 N, 48.133806 E; 3 — ПиргуΛи (40.868328 N, 48.599481 E); 4 — АΛтыагач (40.942707 N, 49.027354 E); 5 — Шемаха (40.742370 N, 48.639842 E); 6 — Куба (41.424798 N, 48.487536 E) Fig 1. Location of Permanent Sampling Points near the settlements in the vicinity of which water and soil samples were collected: 1 — Zagatala (41.755469 N, 46.658248 E; 2 — Ismayilli (40.971043 N, 48.133806 E; 3 — Pirguli (40.868328 N, 48.599481 E); 4 — Altiagach (40.942707 N, 49.027354 E); 5 — Shemakha (40.742370 N, 48.639842 E); 6 — Сuba (41.424798 N, 48.487536 E)
Figure 2 in AfriBasins: a new framework in FishBase for the analysis of African fresh and brackish water fish distributions, with a discussion on the Congo basin fauna
Figure 2. – Family level composition of the fish fauna of the Congo Basin s.s. "Other" includes the following families: Tetraodontidae, Bagridae, Citharinidae, Dasyatidae, Hepsetidae, Protopteridae, Syngnathidae, Mugilidae, Notopteridae, Channidae, Ariidae, Cynoglossidae, Elopidae, Pristigasteridae, Latidae, Megalopidae, Ophichthidae, Pantodontidae, Phractolaemidae, Pristidae and Carangidae.
Figure 5 in AfriBasins: a new framework in FishBase for the analysis of African fresh and brackish water fish distributions, with a discussion on the Congo basin fauna
Figure 5. – Cluster analysis on the fish distribution data for the Congo Basin s.s., based on (A) the Ochiai coefficient and (B) the correlation ratio.
Figure 7 in AfriBasins: a new framework in FishBase for the analysis of African fresh and brackish water fish distributions, with a discussion on the Congo basin fauna
Figure 7. – Evolution of the estimated number of species based on various definitions of the Congo basin: Central Congo, i.e. Kinshasa to Kisangani, without Kasai upstream from Mushie (Poll and Gosse, 1963); without lakes Bangweulu and Mweru (Roberts, 1972); entire Congo (Poll, 1973); excluding Lake Tanganyika (Lowe-McConnell, 1987); excluding lakes Tanganyika and Mweru, primary freshwater species (Teugels and Guégan, 1994); Zaïre, probably only includes primary freshwater species (Lévêque, 1997); Zaïre, probably includes primary, secondary and peripheral species (Lévêque, 1997); Congo River system, at least 700 species (Skelton, 2001); Congo and Lake Tanganyika (Revenga and Kura, 2003); Congo River system (Thieme et al., 2005); the Congo (Dumont, 2009); Congo basin including the Rift Valley region with lakes Tanganyika and Kivu and the Malagarasi basin (Snoeks et al., 2011).
Linked collectors and determiners for: The occurrence, distribution and biology of invasive fish species in fresh and brackish water bodies of NE Morocco.
Natural history specimen data linked to collectors and determiners held within, "The occurrence, distribution and biology of invasive fish species in fresh and brackish water bodies of NE Morocco". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/55347db9-46a3-449d-8e55-ba6ed02e4820">https://bionomia.net/dataset/55347db9-46a3-449d-8e55-ba6ed02e4820</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/55347db9-46a3-449d-8e55-ba6ed02e4820">https://gbif.org/dataset/55347db9-46a3-449d-8e55-ba6ed02e4820</a>. Formatted as a Frictionless Data package.
Fig. 1 in Infestation pattern and parasitic castration of the crustacean Riggia paranensis (Crustacea: Cymothoidea) on the fresh water fish Cyphocharax gilbert (Teleostei: Curimatidae)
Fig. 1. Relationship between size of Riggia paranensis and its host Cyphocharax gilbert classified into two (groups 3 and 4) body length indexes [BLI= [((TLRi mm)/(SLCy mm)).100]: total body length of the parasite (TLRi) and standard length of the host (SLCy)]. The total includes all hosts and parasites collected between September 1997 to August 2000. Data are also presented separately for the autumn-winter (March through August) and spring-summer (September through February) periods. All specimens collected in the middle rio Itabapoana, Brazil.
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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.