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ShareScore release 0.9.0
Dataset results
12 results for “non-target organisms”
Non-Targeted Screening of Organic Compounds in Environmental and Biological Matrices Related to Children's Environmental Exposure in South Florida, 2022-2024
This dataset provides a comprehensive list of chemicals relevant to children’s exposure from both dietary and non-dietary sources, across five environmental and biological matrices: drinking water (n = 206), food (n = 203), urine (n = 183), soil (n = 178), and household dust (n = 164). Samples were collected between May 2022 and June 2024 in Miami-Dade and Broward counties, Florida. A non-targeted screening approach using high-resolution mass spectrometry (HRMS) coupled with liquid chromatography was employed for analysis, with matrix-specific preparation methods: online solid-phase extraction (SPE) for water and urine, QuEChERS for food, and accelerated solvent extraction (ASE) for soil and dust. Analyses were conducted in full-scan mode under both positive and negative electrospray ionization to maximize compound detection coverage. Compound identification was performed using Compound Discoverer software, incorporating spectral and structural databases such as mzCloud, ChemSpider, ClassyFire, and MassList. Annotations were based on exact mass, mass error threshold (<5ppm), predicted molecular formula, retention time alignment, isotopic pattern fit, MS/MS spectral similarity, and match confidence levels derived from integrated spectral libraries and database scoring algorithms. Quality assurance was maintained through the use of quality control (QC) samples across all matrices and analytical batches. The integration of non-targeted analysis, matrix-optimized extraction, and rigorous QA/QC practices makes this dataset a valuable resource for environmental exposomics, chemical risk assessment, and evidence-based public health policy development.
Non-target screening of organic compounds in offshore produced water by GC×GC-MS (associated data)
<p>Associated data for the manuscript titled "<em>Non-target screening of organic compounds in offshore produced water by GC×GC-MS</em>"</p> <p>Preprint doi://10.26434/chemrxiv.13317938</p> <p> </p>
Data and code for "Pesticides have negative effects on non-target organisms"
<p>Data and code for "Pesticides have negative effects on non-target organisms"</p>
Data from: Larvicidal potential of Pseudomonas mosselii isolated from Aedes (Diptera: Culicidae) egg surfaces against dengue vector mosquitoes and its impact on non-target organisms
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Non-target screening of a Siberian ice core reveals changes in the pre-industrial to industrial organic aerosol composition
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Data from: Planting of neonicotinoid-treated maize poses risks for honey bees and other non-target organisms over a wide area without consistent crop yield benefit
Neonicotinoid insecticides are routinely used as seed treatments on most grain and oilseed crops in the USA, yet the extent and likelihood of spread of insecticide residues during planting has not previously been quantified. Honey bees, Apis mellifera, are highly mobile and highly sensitive to neonicotinoid residues, presenting an opportunity to estimate non-target exposures to neonicotinoids in mobile insects. We measured neonicotinoid dust drift during maize sowing and used sites of maize fields, apiary locations and honey bee foraging radii to estimate likelihood of forager exposure. We performed a concurrent multi-year field assessment of the pest management benefits of neonicotinoid-treated maize. Our results indicate that over 94% of honey bee foragers throughout the state of Indiana are at risk of exposure to varying levels of neonicotinoid insecticides, including lethal levels, during sowing of maize. We documented no benefit of the insecticidal seed treatments for crop yield during the study. Synthesis and applications. We demonstrate movement of neonicotinoid residues well beyond planted fields occurs during maize sowing in Indiana. Based on locations of maize fields and apiaries in the state, the likelihood of neonicotinoid exposure for foraging honey bees is high. Other non-target organisms are also likely to encounter neonicotinoid residues; we conservatively estimate that deposition of neonicotinoid residues on non-target lands and waterways will occur on over 42% of the state of Indiana during the period of maize sowing. However, we also demonstrate that the risk to pollinators and other non-target organisms may be rapidly and dramatically reduced without yield penalties, by aligning use rates of neonicotinoid insecticides with pest incidence.
Data from: Planting of neonicotinoid-treated maize poses risks for honey bees and other non-target organisms over a wide area without consistent crop yield benefit
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Ultraviolet photodissociation for non-target screening based identification of organic micro-pollutants in water samples
<p>Raw LC-HRMS data that was used for demonstrating the the use of the fragmentation technique ultraviolet photodissociation (UVPD) for the structural elucidation of organic micropollutants (OMPs) in water samples in combination with the 'uvpd' R-package (<a href="https://github.com/cpanse/uvpd/">https://github.com/cpanse/uvpd/</a>). The dataset consists of HCD and UVPD fragmentation data of reference standard samples acquired at various collision energies and reaction times, respectively. The analyses were performed with a Vanquish Horizon UHPLC system coupled to an Orbitrap Fusion Lumos Tribrid instrument with positive and negative ESI ionization. More analytical details are in Panse et al., Molecules, submitted.</p>
Data from: Screening sticky cards as a simple method for improving efficiency of Diaphorina citri (Hemiptera: Liviidae) monitoring and reducing non-target organisms
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Data for pesticide effects on non-target organisms
<p>Data for pesticide effects on non-target organisms</p>
GNPS - Non-targeted 2D LC-MS/MS analysis of NEHLA Dissolved Organic Matter (2/2)
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GNPS - Non-targeted 2D LC-MS/MS analysis of NEHLA Dissolved Organic Matter (1/2)
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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)
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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.