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89 results for “Biomonitoring”
Software and suspect database for: "A large scale multi-laboratory suspect screening of pesticide metabolites in human biomonitoring: From tentative annotations to verified occurrences"
<p>This upload contains the pesticide suspect list aggregated among the laboratories of work package 16 of the HBM4EU (https://www.hbm4eu.eu) project for a large-scale pesticide suspect screening and the resolving search templates for each pesticide. Additionally, we provide the used software version of MetAlign applied in this screening.</p>
Dataset: Assessing Background Contamination of Sample Tubes used in Human Biomonitoring by Non-targeted Liquid Chromatography–High Resolution Mass Spectrometry
<p>Data set of the Publication: </p> <div> <div>Krauss, Martin, Carolin Huber, Tobias Schulze, Martina Bartel-Steinbach, Till Weber, Marike Kolossa-Gehring, und Dominik Lermen (2024): Assessing background contamination of sample tubes used in human biomonitoring by non-targeted liquid chromatography–high resolution mass spectrometry. <em>Environment International</em> 183: 108426. <a href="https://doi.org/10.1016/j.envint.2024.108426">https://doi.org/10.1016/j.envint.2024.108426</a>.</div> </div> <p>- raw LC-HRMS data in mzML format for positive and negative mode.</p> <p>- merged MS/MS spectra of whole data set after MZMine 2.53 processing in mgf format.</p> <p> </p>
Estimating heavy metal deposition in Germany using model calculations and biomonitoring data, link to research data and scientific software
<p>Research data and scientific software related to an investigation dealing with modelled data on Cd and Pb deposition (LOTOS-EUROS, EMEP/MSC-East) and monitoring data from the International Cooperative Programme on Effects of Air Pollution on Natural Vegetation and Crops (ICP Vegetation Moss Survey) and the German Environmental Specimen Bank (ESB) providing corresponding parameters on HM concentration in various biota. The study aimed at examining, whether an integrated use of model calculations and monitoring data can extend established methods for estimating and evaluating spatial patterns of atmospheric Pb and Cd deposition across Germany.</p>
Biomonitoring-Messnetz für atmosphärische Deposition in deutschen Wäldern, Link zu Forschungsdaten und wissenschaftlicher Software
<p>Forschungsdaten und wissenschaftliche Software einer Studie zur Restrukturierung des Messnetzes für den deutschen Beitrag zum European Moss Survey 2015. Die Methodik basiert auf einem multikriteriellen Entscheidungsmodell, das auf Daten des Moss Survey 2005 angewendet wurde. Die Reduzierung der Monitoringstandorte von 726 auf 402 erfolgte ohne signifikanten Verlust an statistischer Validität und geostatistischer Repräsentativität der gemessenen Elementkonzentrationen in den Moosen.</p> <p> </p> <p> </p>
Supplementary data to "The effects of small-scale heterogeneity on biomonitoring of desmid phytobenthos in Central European temperate mountain peatlands"
<p>The supplementary data consist of the files including the species-in-samples data and their associated NCV scores used for the analyses described in the manuscript submitted to hydrobiologia. In addition, two R scripts used for the analyses are included, too.</p> <p> </p>
Figure 4 in Microtus guentheri (Danford & Alston, 1880) (Rodentia: Cricetidae) as a biomonitor for radionuclides in Mersin Province of Turkey
Figure 4. Distributions of the radiation hazard index values by locality (values around the circle show the numbers of localities).
Figure 3. Relationship between activity concentrations for 40K in Microtus guentheri (Danford & Alston, 1880) (Rodentia: Cricetidae) as a biomonitor for radionuclides in Mersin Province of Turkey
Figure 3. Relationship between activity concentrations for 40K as a function of altitude (significant).
Figure 11 in A quantitative method for collecting water mites in lotic, riffle-run habitats for water quality biomonitoring
Figure 11 An example of how water mites appear under a stereoscope. a – water mites of mixed taxa in a single sample ready to be sorted through and identified; b – water mites belonging to the genusTestudacarus and their easily observable characteristic dorsal plates; c – water mites belonging to the genusKongsbergia and their easily distinguishable posterior body shape.
Figure 6 in A quantitative method for collecting water mites in lotic, riffle-run habitats for water quality biomonitoring
Figure 6 The sieving process proposed in this manuscript. a – collector fills the composited sample container with water and shakes the container for approximately 10 seconds; b – immediately after shaking the collector removes the lid and pours the water through the 3mm and 250 μm sieves; c and d – the 3mm will be placed on top of the 250 μm sieve so it can filter out larger sized substrate and debris. This process is repeated 10x.
Figure 5 in A quantitative method for collecting water mites in lotic, riffle-run habitats for water quality biomonitoring
Figure 5 An example of the collector emptying the net contents from the first of four site collections into sample container; the next three site
Figure 2 in A quantitative method for collecting water mites in lotic, riffle-run habitats for water quality biomonitoring
Figure 2 Collection nets discussed in this manuscript. a – a standard, commercially available, truncated D-frame net with 500 μm mesh; b – our custom made, non-truncated D-frame net with 250 μm mesh.
Figure 1 in A quantitative method for collecting water mites in lotic, riffle-run habitats for water quality biomonitoring
Figure 1 Examples of impaired and attaining riffle-run stream habitats in central Pennsylvania. a – Warriors Mark Run, impaired stream; b – Muddy Run, impaired stream; c – Spruce Run, attaining stream; d – Laurel Run, attaining stream.
Figure 3 What a in A quantitative method for collecting water mites in lotic, riffle-run habitats for water quality biomonitoring
Figure 3 What a single collection site should look like after the proposed three-minute collection effort. The blue arrows indicate stacked rocks that were stacked upstream of the net to better direct flow into the net. Large rocks were moved before digging into the substrate, while medium-sized and smaller rocks were placed as the substrate was dug up.
Figure 10 A in A quantitative method for collecting water mites in lotic, riffle-run habitats for water quality biomonitoring
Figure 10 A final, picked water mite sample preserved in 80% ethanol ready for identification and enumeration.
Figure 7 After sieving, the collector removes the contents from the 250 in A quantitative method for collecting water mites in lotic, riffle-run habitats for water quality biomonitoring
Figure 7 After sieving, the collector removes the contents from the 250 μm sieve and places them into the final sample jar. a – fine sediment
Figure 4 in A quantitative method for collecting water mites in lotic, riffle-run habitats for water quality biomonitoring
Figure 4 An example of the collection process proposed in this manuscript. a – the collector stands upstream of the net and disturbs the substrate; b – a typical collection setup that includes one person shoveling and another holding the net; c – water mites become suspended in the water column and flow downstream into the net.
Figure 9 in A quantitative method for collecting water mites in lotic, riffle-run habitats for water quality biomonitoring
Figure 9 The picking process proposed in this manuscript. a – the picker empties the contents of the sample container into the white photographic
Data from: Koalas, friends, and foes – the application of airborne eDNA for the biomonitoring of threatened species
Open the record for dataset details and reuse information.
Data from: Walrus teeth as biomonitors of trace elements in Arctic marine ecosystems
Open the record for dataset details and reuse information.
Application of high-throughput sequencing (HTS) metabarcoding to diatom biomonitoring: Do DNA extraction methods matter?
<p>The 8 benthic samples from Mainland France (stream Edian, stream Aire, lake Geneva), Sweden (stream Dåmman, Agricultural stream, lake Båtkåjaure) and Mayotte (stream Dapani, stream Majimbini) were collected by scraping material from the surface of stones, following the French standard (AFNOR 2007) used in routine biomonitoring programs.DNA was extracted from each sample (2 replicates) using five DNA extraction methods, followed by the amplification of a short rbcL DNA barcode (312bp) specific to diatoms. PCR products were then sequenced in one random direction using the Ion Torrent™ Personal Genome Machine® (PGM) System according to the manufacturer’s instructions. The data file contains one fastq file per library sequenced with the raw DNA reads, as provided by the sequencing platform (demultiplexing performed by the sequencing platform). An excel file is also provided to make the link between the fastq file number and the sample information (sample origin, DNA extraction method used, number of raw reads).</p>
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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.