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278 results for “water samples”
From Microorganisms to Biosignatures: Subcritical Water Extraction as a Sample Preparation Technique for Future Life Detection Missions
<p>Data for all figures included in "From Microorganisms to Biosignatures: Subcritical Water Extraction as a Sample Preparation Technique for Future Life Detection Missions". Amino acid concentrations, enantiomeric excesses, and relative distributions for E. coli cells and B. subtilis spores after subcritical water extraction for 30 min at 200 °C using water and dilute acid.</p>
Evaluation of effect of Bilvadi Jala Nirvishikaran Yoga (Polyherbal Formulation in Ayurveda) in different samples of poisoned and polluted water.
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Names, locations, sampling dates, physical characteristics, water chemistry, and plankton data in samples collected in Canadian Prairie lakes in July and August, 2023
<p>PPR Sample Lake Data.xlsx contains names, locations, sampling dates, physical characteristics, water chemistry, and plankton data in samples collected in Canadian Prairie lakes in July and August, 2023. PPR Sample Lake Fact Sheets.pdf contains fact sheets for every sampled lake including maps and essential lake, catchment, and water chemistry characteristics. </p>
One size does not fit all: Tuning eDNA protocols for high and low turbidity water sampling
<p class="abstract_para">Findings from eDNA metabarcoding are strongly influenced by experimental approach, yet the effect of pre‐PCR sample processing on taxon detection and estimates of biodiversity across different water types is still poorly resolved. To fill this data gap, we investigated the impact of sampling effort, extraction method, and filter pore size on DNA yield, PCR inhibition, and 16S rDNA metabarcoding results for fishes in water samples collected from inshore turbid‐ and offshore clear‐water environments. The turbid‐water samples had high concentrations of suspended organic and/or inorganic material and yielded ~3.2× more DNA and exhibited high levels of PCR inhibition compared with the low‐turbidity, clear‐water samples. Importantly, there were no striking differences in the results of our metabarcoding experiments based on extraction method or filter pore size. While a small number of unique species of relatively low read count were detected in all turbid‐water treatments, most species were consistently detected across samples. Results for the clear‐water samples were strikingly different, with low DNA yield, high levels of variation across replicates, and a high number of non‐overlapping species across treatments. These findings indicate a patchy distribution of eDNA in offshore environments, which means higher volumes of water (≥ 2 L per replicate) must be filtered in habitats where target DNA is likely to be sparse. In semi‐closed systems such as estuaries, higher concentrations of target DNA are expected, and we found that either a 1.0 or 3.0 µm filter pore size was sufficient to capture standing diversity, while decreasing the risk of clogging. For economical DNA extraction and inhibitor removal, we recommend a combination of Omega Bio‐tek E.Z.N.A Tissue DNA kit followed by a PCR inhibitor removal step using the Zymo Kit. Finally, we emphasize that pilot studies should be undertaken whenever sampling in a new environment to identify which protocol is most appropriate.</p>
FIGURE1. Map showing the sampling localities and distribution of all valid Korean species identified and described so far. The black line between Stations 6a and 6b represents a man-made road with no gap for water entry from either side. Stations 1 to 15 refer to the study sites in Vakati et al. (2019), station 16 refers to the study site in Kim et al. (2017). in -On- two- new- species- of- Nannopus- Brady,- 1880- (Copepoda:- Harpacticoida Nannopodidae)-from-intertidal-mudflats-of-the-Korean-west-coast-(Yellow-Sea)
FIGURE1. Map showing the sampling localities and distribution of all valid Korean species identified and described so far. The black line between Stations 6a and 6b represents a man-made road with no gap for water entry from either side. Stations 1 to 15 refer to the study sites in Vakati et al. (2019), station 16 refers to the study site in Kim et al. (2017).
Boardman River 2019 eDNA metabarcoding water sample data
<p>Understanding biodiversity in aquatic systems is critical to ecological research and conservation efforts, but accurately measuring species richness using traditional methods can be challenging. Environmental DNA (eDNA) metabarcoding, which uses high-throughput sequencing and universal primers to amplify DNA from multiple species present in an environmental sample, has shown great promise for augmenting results from traditional sampling to characterize fish communities in aquatic systems. Few studies, however, have compared exhaustive traditional sampling with eDNA metabarcoding of corresponding water samples at a small spatial scale. We intensively sampled Boardman Lake (1.4 km<sup>2</sup>) in Michigan, USA from May to June in 2019 using gill and fyke nets and paired each net set with lake water samples collected in triplicate. We analyzed water samples using eDNA metabarcoding with 12S and 16S fish-specific primers and compared estimates of fish diversity among methods. In total, we set 60 nets and analyzed 180 1 L lake water samples. We captured a total of 12 fish species in our traditional gear and detected 40 taxa in the eDNA water samples, which included all the species observed in nets. The 12S and 16S assays detected a comparable number of taxa, but taxonomic resolution varied between the two genes. In our traditional gear, there was a clear difference in the species selectivity between the two net types, and there were several species commonly detected in the eDNA samples that were not captured in nets. Finally, we detected spatial heterogeneity in fish community composition across relatively small scales in Boardman Lake with eDNA metabarcoding, but not with traditional sampling. Our results demonstrated that eDNA metabarcoding was substantially more efficient than traditional gear for estimating community composition, highlighting the utility of eDNA metabarcoding for assessing species diversity and informing management and conservation.</p>
Data from: Detection of invasive mosquito vectors using environmental DNA (eDNA) from water samples
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One size does not fit all: Tuning eDNA protocols for high and low turbidity water sampling
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Dispersive liquid-liquid microextraction with extractant removal by magnetic nanoparticles for chloramphenicol preconcentration in water samples
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Data from: Deep-sea benthic ostracodes from multiple core and epibenthic sledge samples in Icelandic waters
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Marine biomonitoring with eDNA: can metabarcoding of water samples cut it as a tool for surveying benthic communities?
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Boardman River 2019 eDNA metabarcoding water sample data
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Data from: The utility of environmental DNA from sediment and water samples for recovery of observed plant and animal species from four Mojave Desert springs
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Michigan Department of Environmental Quality (MI): water quality sampling program, 1967-1997
This program is the water quality sampling program for the state of Michigan (formerly the Department of Natural Resources, then the Department of Environmental Quality). Most, if not all lakes are public and > 25 acres. The goal of the program is to determine inland lake trophic status. Spring samples are taken to determine total phosphorus and other parameter levels of the lake while it is well mixed. Summer samples were also performed for other parameters.
Synoptic water chemistry and discharge data for the Glyndon and Baismans Run sampling sites - 2001 - 2002
This is stream water quality and discharge data collected by Steven Kenworthy using flow velocity measurement method. Samples and discharge measurments were taken approximately once per month from June 2001 to June 2002. Locations within Pond Branch, Baisman Run, and Glyndon are denoted in the MetadataCodes Tab of the Excel Workssheet. Flow and Streamwater Sampling Station Codes........ Pond Branch........ PB4 (PBC2)........Upper PB spring (PBC2 was an error in labeling) PB3a........PB @ upper riparian wells PB3........PB below gas line PB2a........PB @ lower riparian wells POBR........Pond Branch at gage Baisman Run........ BR5a........Baisman Run @ upper gage (Red's flume) BR5........Baisman Run Northwest tributary basin BR6........Baisman Run Southwest tributary basin BR4........Northern tributary (west of Pond Branch) BR3........Southern tributary BR7........Baisman Run upstream of Pond Branch Confluence BR2........Pond Branch between pond and yellow trail BARN........Baisman at gage (Ivy Hill Rd.) Gwynns Falls @ Glyndon........ GL9........GF southern tributary (Glyndon Gate) in woods upstream of pond and ditch GL6........GF main channel in forest downstream of log cabin GL4........GF downstream of Sacred Heart Rd. GL3........GF upstream of Chatsworth ave (@ lower riparian wells) GL2 (GFGL side) ........Schoolbus lot / Dyer Rd. tributary GL2a (GFGL main) ........GF above schoolbus trib junction (reg. stream crew did this > sometimes) GFGL/GL1........Gwynns Falls @ Glyndon Gage NO3 and TN are mg of N/L........ Cl and SO4 are mg/L........ PO4 and TP are mg of P/L Concentrations that were below the lowest standard run are reported as follows: NO3 and TN 0.01 CL and SO4 0.05 PO4 and TP 1.5
Synoptic water chemistry and discharge data for the Baismans Run sampling sites - 2007 - 2008
This is stream water quality and discharge data collected by Monica Smith using flow velocity measurment method. Samples and discharge measurments were taken approximately once per month from August 2008 to October 2007. Locations within Baisman Run are denoted below: Department of Geography University of North Carolina at Chapel Hill. UTM 18N BA3-SF1B 353952.4775 4370933.534 BA3-SF2A 353824.1488 4370802.221 BA3-SF2B 353871.899 4370793.268 BA3-SF3A 353746.5547 4370644.048 BA3-SF3B 353794.3049 4370638.08 BA3-SF2R 353991.2746 4370888.768 BA3-SF1L 353979.337 4370918.612 BA3 354500.9953 4371320.992 BA5a-JC1 353278.0057 4371970.732 BA5a-JC2 353474.9753 4372018.482 BA3-SF1A 353913.6804 4370964.855
Total Thorium-234 (Th-234) taken from discrete water column samples collected during CCE Process Cruises (2006 - 2017).
Thorium-234 (Th-234) is the first long-lived (half-life = 24.1 days) daughter particle of Uranium-238 (U-238). While U-238 is conserved in the ocean (it covaries with salinity and has a half-life of 4.5 billion years), Th-234 is scavenged onto particles and hence removed from the surface ocean when those particles sink to depth. By measuring vertical profiles of total Th-234 activity in the euphotic zone and assuming steady-state between production of Th-234 from U-238 decay and removal of Th-234 on sinking particles, we can thus estimate the export of Th-234 from sampled water parcels. These measurements of Th-234 export can be converted to estimates of carbon export by multiplying by the C:Th-234 ratio of sinking particles measured at the same time and location.
Water isotope samples from Watershed 3 at Hubbard Brook Experimental Forest, 2006-2010
This dataset presents biweekly water isotope samples collected throughout the year during October 2006 to October 2010 from eight fluxes and stores in a headwater catchment at the Hubbard Brook Experimental Forest, New Hampshire, USA. Samples of precipitation, snowmelt, soil water, and stream water were collected over the entire four-year period. Throughfall and snow pack sampling was discontinued after two years, and groundwater sampling began in the second year and continued through the end of the monitoring period. Precipitation samples were collected in an existing rain gage clearing at an elevation of 564 meters. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Particulate organic carbon and nitrogen measurements from Go-Flo bottles sampling the water column from a zodiac during Palmer LTER station seasons at Palmer Station Antarctica, 1991 - 2012.
All organisms are composed of organic matter. Organic matter is synthesized from dissolved inorganic carbon (dissolved CO2) and inorganic nutrients by phytoplankton photosynthesis, and consumed (oxidized) by respiration by heterotrophs (zooplankton and bacteria). The organic matter in seawater is a variable mixture of dissolved and particulate organic matter (DOM and POM). Typically DOM predominates over POM by an order of magnitude, but the relative amount of POM can be highly enhanced during large phytoplankton blooms. The principal elemental components of POM include organic carbon (POC), organic nitrogen (PN), there is no particulate inorganic N) and phosphorus (POP). These elements exist in a relatively stable, characteristic ratio of 106:6:1 (C:N:P) in seawater, known as the Redfield Ratio. Marine particulate matter is a complex mixture of live and dead plankton and detritus, and of carbohydrates, proteins, lipids and nucleic acids. POC and PN are enhanced in the euphoric zone, reflecting their origin by photosynthesis. The particulate pool is also a complex assemblage of particles of different sizes, shapes and densities. A simplified scheme divides the particles into large, rapidly sinking particles (10s - 100s of meters per day) and smaller, suspended particles. The transition between small particles and dissolved organic matter is typically specified by filtration through GF/F filters. POC and PN are analyzed for all samples in the upper 50 meters at Palmer Station B (75 m depth) and the upper 65 m at Station E (200 m depth). There is a gradient of POM from higher values inshore to much lower values in deep ocean water beyond the continental shelf break (sampled on the annual cruise).
Bacterial properties in discrete water column samples collected during Palmer LTER station seasons at Palmer Station Antarctica, 2002 - 2019.
The microbial biogeochemistry component of PAL focuses on marine bacterioplankton, and is thus a counterpart to the phytoplankton and zooplankton components, which together provide a detailed and comprehensive description of plankton ecology in PAL-LTER. Bacteria and Archaea (hereafter called "bacteria") are taxonomically and metabolically diverse. In coastal and offshore surface waters Bacteria generally predominate over Archaea, but Archaea are equal or greater in abundance in the mesopelagic layer below the euphoric zone. We focus on aerobic, heterotrophic bacteria in the upper 65 m at Palmer Station which oxidize recently-produced low molecular weight dissolved organic compounds released by phytoplankton and zooplankton, decomposing them back into CO2 and inorganic nutrients. Globally, marine bacteria respire an amount of carbon roughly equal to about half the daily photosynthetic production. In cold polar waters, relative bacterial activity is lower, with bacterial biomass production being equal to <5% of the daily photosynthesis. The ratio at lower latitudes is 10-20%. The factors responsible for this contrast are not entirely clear. Resolving this pattern is a key aim of the PAL microbial component. At Palmer Station, bacterial production is low (< 10 mgC/m2/d) in the winter (polar night) when there is little if any photosynthesis. There is a climatological (2003-14 average) summer peak of 50-60 mgC/m2/d in January-February but with considerable seasonal and annual variability. The 2016/2017 season data contains bacteria abundances for preserved samples for comparison to abundances from live samples. See the documentation for this in the accompanying file, 2016_live_vs_preserved.pdf.
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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.