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600 results for “Contamination”
Microplastic contamination in Corpus Christi Bay blue crabs, Callinectes sapidus
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Data from: Bumblebees prefer sulfoxaflor contaminated food and show caste-specific differences in sulfoxaflor sensitivity
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Emerging contaminants in juvenile Chinook salmon: Patterns of exposure and implications for conservation
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Differential effects of tree species identity on rhizospheric bacterial and fungal community richness and composition across multiple trace element-contaminated sites
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Data from: Littoral sediment arsenic concentrations predict arsenic trophic transfer and human health risk in contaminated lakes
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Interactive effects of rhizospheric soil microbes and litter on the growth of the invasive hyperaccumulator Bidens pilosa in cadmium-contaminated soil
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Latitudinal gradients of snow contamination in the Rocky Mountains associated with anthropogenic pollutant sources
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Consumption of pollen contaminated with field-realistic concentrations of fungicide cause sub-lethal effects in common eastern bumble bee (Bombus impatiens [Hymenoptera]: [Apidae]) microcolonies
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Supplemental material for the insight: High levels of mercury contamination in a necrophage dung-beetle of the Amazon rainforest (Scarabaeidae: Scarabaeinae)
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Data from: Evaluation of cross-generational exposure to microplastics and co-occurring contaminants on embryonic and larval behavior in fathead minnows, Pimephales promelas
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CONSULT: accurate contamination removal using locality-sensitive hashing
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The impact of contaminants on the accuracy of genome skimming and the effectiveness of exclusion read filters
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Sea level rise, groundwater rise, and contaminated sites in the San Francisco Bay Area, and Superfund Sites in the contiguous United States
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Pharmaceutical effects on biofilm functioning quantified via contaminant exposure substrates presented in Rosi et al. 2018.
An ongoing component of the Baltimore urban long-term ecological research (LTER) project (Baltimore Ecosystem Study, BES) is the use of the watershed approach and monitoring of stream water quality to evaluate the impacts of multiple chemical stressors on urban stream ecosystem functioning within Baltimore. The LTER research has focused on the Gwynns Falls watershed, which spans a gradient from highly urban, urban-residential, and suburban zones. In addition, a forested watershed serves as a reference. The long-term sampling network includes four longitudinal sampling sites along the Gwynns Falls mainstem, as well as several small (40-100 ha) watershed within or near the Gwynns Falls, providing data on water quality in different land use zones of the watersheds. Each study site is continuously monitored for discharge and is sampled weekly for water chemistry. Those data are available elsewhere on the BES website. We are interested in studying the effects of pharmaceuticals and personal care products (PPCPs) on stream biofilm functioning within urban streams. We constructed and deployed contaminant exposure substrates (CES) in four streams within the greater Baltimore, Maryland, USA area to measure the responses of biofilms in each of the four streams to caffeine, ciprofloxacin, cimetidine, diphenhydramine, and no PPCPs. We incubated CES for 2 weeks in the four different streams, with five replicate CES for each treatment being randomly placed on plastic L-bars within each stream. After the two-week deployment, we used the light-dark incubation approach to estimate gross primary production and community respiration via change in dissolved oxygen (DO) for biofilms colonizing substrates (either cellulose sponges to select heterotrophic biofilms or fritted glass disks to select for autotrophic biofilms) topping each CES. This dataset includes all of the raw data for the light-dark incubations used to calculate gross primary production and community respiration for the v
Baltimore Ecosystem Study polar organic contaminant integrative sampler data for pharmaceuticals and personal care products in core sites within Gwynns Falls watershed and reference sites.
An ongoing component of the Baltimore urban long-term ecological research (LTER) project (Baltimore Ecosystem Study, BES) is the use of the watershed approach and monitoring of stream water quality to evaluate the impacts of multiple chemical stressors on urban stream ecosystem functioning within Baltimore. The LTER research has focused on the Gwynns Falls watershed, which spans a gradient from highly urban, urban-residential, and suburban zones. In addition, a forested watershed serves as a reference. The long-term sampling network includes four longitudinal sampling sites along the Gwynns Falls mainstem, as well as several small (40-100 ha) watershed within or near the Gwynns Falls, providing data on water quality in different land use zones of the watersheds. Each study site is continuously monitored for discharge and is sampled weekly for water chemistry. Those data are available elsewhere on the BES website. We are interested in studying the presence and concentrations of pharmaceuticals and personal care products (PPCPs) within urban streams, and then linking these PPCPs with various stream ecosystem functions. To quantify the concentrations of PPCPs in streams, we deploy polar organic contaminant integrative samples (POCIS), which integrate all organic contaminants that pass by them in a stream over a set period of deployment. These POCIS allow us to integrate the total amount of PPCPs within a stream over a set period of time, and then to relate these concentrations with other ecosystem processes. We monitored PPCP concentration in four suburban to urban sites within the Gwynns Falls, as well as one exurban and one forested stream monitoring site. Each POCIS was deployed for two weeks at a stream monitoring site in March 2012. After completion of the sampling period, POCIS were removed from the streams and shipped on ice to the University of Nebraska for extraction and quantification of recovered compounds. This dataset includes all compounds extracted and q
IronRefs database of bibliographic data on remediation of contaminated environmental materials using zerovalent metals such as iron (ZVI)
<p>Database of bibliographic data for publications (journal articles, reports, patents, presentation abstracts, etc.) on the use of zerovalent metals (ZVMs)—especially zerovalent iron (ZVI)—for remediation or treatment of contaminated environmental materials (mainly groundwater, but also wastewater, soil, and sediment).</p> <p>The data were compiled and curated between 1996 and 2011 by members of the research group of Professor Paul G. Tratnyek at the Oregon Graduate Institute in Beaverton, Oregon, USA. At the beginning, the field was very small and most new work appeared first in gray-literature, so manual curation of the database made it a uniquely-valuable resource for the community.</p> <p>The original list of references was replaced with a searchable online database in 1998, which was named the “IronRefs” database and made available to all at <a href="http://cgr.ebs.ogi.edu/ironrefs/">http://cgr.ebs.ogi.edu/ironrefs/</a>. The database was updated periodically until 2011, by which time the field had grown so large that it was no longer practical to keep up with all of the new publications.</p> <p>The early development and impact of the IronRefs database was documented when it reached 500 records (Tratnyek, 2002) and when it reached 1000 records (Schneider et al., 2008). The former was published as an article in Groundwater Monitoring and Remediation (DOI: 10.1111/j.1745-6592.2002.tb00757.x) and the latter was given as a poster at the 6th International Conference on Chlorinated and Recalcitrant Compounds, Monterey, CA (PDF included here).</p> <p>In 2019, the server containing IronRefs was retired, so this unique resource became unavailable. In place of IronRefs, we provide here all of the data (2000+ records) in two tagged-field formats that are compatible with most bibliographic data management software: an EndNote compressed library (.enlx) and an RIS file (.ris). We also exported the data to a tab-delimited text file and provide that in .csv and .txt formats.</p> <p>Note that no new records were added to the IronRefs database after about mid-2011, so the value of the dataset provided here is largely historical. There are many newer publications that are relevant, and the literature on this topic continues to grow rapidly as of 2020.</p>
Figure 1 in A fossil protein chimera; difficulties in discriminating dinosaur peptide sequences from modern cross-contamination
Figure 1. Tandem mass spectrum from high-resolution (HCD) fragmentation analysis of the peptide sequence (GPPGESGAVGPAGPIGSR) matched from our analysis of ostrich bone collagen that is homologous to the peptide proposed as unique to T. rex and B. canadensis.
Figure 2 in A fossil protein chimera; difficulties in discriminating dinosaur peptide sequences from modern cross-contamination
Figure 2. Tandem mass spectrum of the peptide sequence claimed as being endogenous to both dinosaurs with sequence (GLPGESGAVGPAGPPGSR) downloaded from the B. canadensis analysis by Schweitzer et al. [14].
Air contamination and covid-19 cases in Spain
<p>This data provides values of the Air Quality Index (AQI) for the most populated city in each Spanish autonomous community since 2019. The compounds selected to evaluate AQI are PM10, O3, and NO2. This dataset is oriented to people that want to evaluate quarantine effects on air pollution during a COVID-19 disease outbreak. For this reason, a table with notified cases of the disease to the Public Administration at an autonomous community-scale is also supplied with the aim of providing a framework of disease evolution. </p> <p>The air_contamination.csv dataset contains 9 variables:</p> <p> - timestamp: date in format: yyyy/mm/dd<br> - ca: autonomous community (text)<br> - ciudad: city (text)<br> - pm10: AQI value of pm10 particle (number)<br> - pm10_level: Air quality base on pm10 particles (text)<br> - o3: AQI value of o3 particle (number)<br> - o3_level: Air quality based on o3 particles (text)<br> - no2: AQI value of no2 particle (number)<br> - no2_level: Air quality based on no2 particles (text)</p> <p>The casos_covid19.csv dataset contains 4 variables:</p> <p>- comunidad: autonomous community (text)<br> - casos: Cases notified by Ministerio de Sanidad/Healthcare minister (text) <br> - casos_notificados: Cases notified by RENAVE (Red Nacional de Vigilancia Epidemiológica) a través de la plataforma SiVIES.<br> - datetime: datetime in format yyyy/mm/dd</p> <p> </p> <p>For more information about the project visit the link on [Github](<a href="https://github.com/shiny-data-scientist/webscrap_pract_1/">https://github.com/shiny-data-scientist/webscrap_pract_1/</a>)</p>
Cs-137 in forests ecosystems contaminated by the Fukushima Daiichi Nuclear Power Plant Accident
<p>We developed a dataset for radiocaesium (<sup>137</sup>Cs) in trees, soil, and mushrooms measured in the forests affected by the Fukushima nuclear accident. The <sup>137</sup>Cs activity concentration and inventory data reported in scientific journal papers written in English or in Japanese, governmental reports, and governmental monitoring data on the web were collated. The ancillary information describing the forest stands were also collated, and environmental information was derived from the other databases using longitude and latitude coordinates of the sampling locations.</p> <p>The database consists of three separate files: 1) a data file, which contains radioactivity and ancillary data, 2) a field-description file, which explains the contents of the data file and the units of data, and 3) a reference list file, which contains the source number and the details of the reference. When the source has only a Japanese title, we translated the title into English, and included both titles in the reference list file.</p> <p> </p> <p><strong>Version 1.1</strong></p> <p>More descriptions have been added in "fields-description", and the data entry errors found in the review process have been modified.</p> <p> </p> <p><strong>The description of the dataset</strong>:</p> <p>Hashimoto et al. (2020) A dataset of <em><sup>137</sup>Cs activity concentration and inventory in forests contaminated by the Fukushima accident</em>, Scientific Data, 7 Article number 431. <a href="http://doi.org/10.1038/s41597-020-00770-1">doi: 10.1038/s41597-020-00770-1</a> Contained in a journal's special "Collection": <a href="https://www.nature.com/collections/fhddajgafg">Infrastructure risk and disaster data / Nuclear disaster impact datasets</a>.</p> <p> </p> <p><strong>Funding:</strong></p> <p>This study was supported by JSPS KAKENHI Grant Number 16H04945, and by research grants from FFPRI (#201501, #201901).</p> <p> </p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.