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1,393 results for “traces”
Trace element composition of drinking water in Almaty
<p>Water is an important component of all life on Earth, and water pollution with heavy metals can lead to detrimental consequences for public health. The purpose of this study was to determine the health risks caused by trace elements present in the drinking water supply systems of Almaty City. As part of this research, the elemental composition of 78 drinking water samples taken in winter, summer, and autumn of 2023 in different areas of the city was studied.Based on the data obtained, drinking water contamination indices were calculated for heavy metal groups, and the degree of water suitability for drinking purposes was assessed for each sampling point.</p>
Annotation of Metabolites in Stable Isotope Tracing Untargeted Metabolomics via Khipu-web
<p>This is the data and analysis scripts needed to recreate the analyses shown in "Annotation of Metabolites in Stable Isotope Tracing Untargeted Metabolomics via Khipu-web"</p> <p>The abstract of the manuscript summarizes the goal of the paper:</p> <p> </p> <p>Stable isotope tracing is a crucial technique for understanding the metabolic wiring of biological systems, determining metabolic flux through pathways of interest, and detecting novel metabolites and pathways. Despite the potential insights provided by this technique, its application remains limited to a small number of targeted molecules and pathways. Because previous software tools usually require chemical formulas to find relevant features, and the data are highly complex, especially in untargeted metabolomics and when the reactions and metabolites downstream the labeled substrates are poorly characterized. We report here Khipu version 2 and its new user-friendly web application. New functions are added to enhance analyzing stable isotope tracing data including metrics that evaluate peak enrichment in labeled samples, scoring methods to facilitate robust detection of intensity patterns and integrated natural abundance correction. We demonstrate that this approach can be applied to untargeted metabolomics to systematically extract isotope-labeled compounds and annotate the unidentified metabolites.</p> <p> </p> <p>This repository stores the code and data needed to recreate all presented analyses. The code and instructions are in the AnalysisCode.zip. The DDA in the dda_mzML.zip, the MS1 in the dataset_mzml.zip, and the asari results in the AsariResults.zip. The readme is in the AnalysisCode.zip and has more detailed instructions. This directory also has the output data in tabular format for the figures as the figures were mostly made with Excel. </p>
Global Urban Activity Changes from COVID-19 Physical Distancing Restrictions Dataset: TRacking Anomalous COVID-19 induced changEs in NightTime Lights (TRACE-NTL)
<p>We use satellite-derived (NASA Black Marble) nighttime lights to identify, quantify, and map daily changes in human activity that are atypical for each urban area, globally, from the beginning of the pandemic until two years after its onset. The dataset TRACE-NTL consists of global daily urban disruption and recovery metrics as a response to COVID-19.</p> <p>TRACE-NTL:</p> <p>├───ancillary<br>├───data<br>└───metrics<br> ├───disruption<br> │ ├───change_segment<br> │ ├───city_uncertainty<br> │ ├───daily_change<br> │ └───daily_qa_flags<br> └───recovery</p> <p><a title="Dataset description" href="https://github.com/srijac/covid-19_Nightlights">https://github.com/srijac/covid-19_Nightlights</a></p> <p>Accompanying paper: Accompanying paper: Chakraborty, S., Stokes, E.C. & Alexander, O. Global urban activity changes from COVID-19 physical distancing restrictions. <em>Sci Data</em> <strong>12</strong>, 98 (2025). https://doi.org/10.1038/s41597-025-04398-x </p>
Combined data file for Jokinen et al. "Terrestrial organic matter input drives sedimentary trace metal sequestration in a human-impacted boreal estuary", Science of the Total Environment 717, 2020
<p>The datafile contains all the new raw data presented in the figures in the publication.</p>
High-resolution topography data and fault trace along the Elashan fault
<p> High-resolution digital elevation models (DEM) topography data extracted from the uncrewed aerial vehicle (UAV) of a DJI (Dajiang Innovations Science and Technology Co., Ltd.) Phantom 4 RTK, and GF-7 satellite stereo imagery. The trace of the Elashan fault is interpreted based on these high-resolution topography data.</p>
Supplementary information from: A systematic review of trace elements in the tissues of bats (Chiroptera)
<p>Bats constitute about 22% of known mammal species; they have various ecological roles and provide many ecosystem services. Bats suffer from several threats caused by anthropization, including exposure to toxic metals and metalloids. In our systematic review, we analyzed 75 papers to investigate how species, diet, and tissue type impact bioaccumulation in bat species all over the world. Most studies documented element accumulation in fur, liver, and kidney; at least 36 metals and metalloids have been measured in bat tissues, among the most studied were mercury and zinc. Comparisons with known toxicological thresholds for other mammals showed concerning values for mercury and zinc in bat hair, lead and some essential metals in liver, and iron and calcium in kidneys. Moreover, accumulation patterns in tissues differed depending on bat diet: insectivorous bats showed higher metal concentrations in fur than in liver and kidney while frugivorous species showed higher values in liver and kidney than in fur. This review points out several information gaps in the understanding of metal contamination in bats, including a lack of measured toxicity thresholds specific for bat tissues. Data on trace element bioaccumulation and its associated health effects on bats is important for conservation of bat species, many of which are threatened.</p>
Safety Through Visibility: Tracing Hydrogen in Colors with Highly Customizable and Flexibly Applicable Supraparticle Additives
<p><span>This data publication is based on the metadata and datasets underlying the manuscript: <br>"Safety Through Visibility: Tracing Hydrogen in Colors with Highly Customizable and Flexibly Applicable Supraparticle Additive"</span></p> <p><span>Abstract:<br>The flammability of H2-air mixtures demands timely detection and precise localization of H2 leakages to ensure safety and targeted maintenance measures in the anticipated hydrogen economy. Herein, H2 indicator supraparticles (SPs) are demonstrated that meet this demand by making H2 visible to the naked eye by a rapid (ir)reversible color change. Their toolbox-like manufacturing from SiO2 nanoparticles (NPs), Pt NPs, and indicator dye molecules via spray-drying allows for engineering their structure, texture, and detection performance by systematically tuning their composition. It is demonstrated that decreasing the SiO2 NP size, increasing the Pt NP concentration, and adjusting the amount of dye molecules improve the SPs’ response times. This opens up the option for multidimensional customization of their detection performance. Furthermore, the toolbox of H2 indicator SPs containing the established resazurin system is expanded to other indicator dyes, which makes a color change and reversibility of choice feasible. H2 indicator SPs meet many of the target characteristics for H2 detectors, e.g., low limit of detection, cycle stability, and high selectivity. Moreover, the SPs’ particulate nature allows for their flexible application as an additive, e.g., in coatings or clothing, which enables the detection and localization of H2 leakages in relevant application scenarios.</span></p> <p><span> </span></p> <p><span>The data collected is from October 2023.** </span></p> <p><span>This file contains information about the instruments, software, materials, chemicals, and datasets used for this study (including processed and raw data of the figures in the manuscript).</span></p> <p><span>A detailed description of the dataset is given in the attached README.txt file.</span></p>
Data and code for "Trace elements increase reproducibility of microbial growth"
<p>Data and code for the paper <em><a href="https://doi.org/10.1101/2024.07.15.603609">Trace elements increase reproducibility of microbial growth</a>.</em></p>
Artifact for Misconceptions in Finite-Trace and Infinite-Trace Linear Temporal Logic
<p>Welcome!</p> <p>This artifact contains the survey instruments, final catalog, and labeled responses from our FM 2024 paper:</p> <p><em>Misconceptions in Finite-Trace and Infinite-Trace Linear Temporal Logic</em></p> <ul> <li>The artifact is primarily a dataset. There is no required software to run.</li> <li>The instruments and catalog are PDF files.</li> <li>The labeled responses are in spreadsheets, which we provide as open document files (`.ods`) with HTML as a backup.</li> </ul>
Figure 2 in On Fabre's traces: an important contributor to the knowledge of Buthus occitanus (Amoreux, 1789)
Figure 2: The cover of The Life of Insects, Italian translation.
Figure 1 in On Fabre's traces: an important contributor to the knowledge of Buthus occitanus (Amoreux, 1789)
Figure 1: Fabre's portrait with his daughters and house (after Fabre, 1920a).
Figure 4 in On Fabre's traces: an important contributor to the knowledge of Buthus occitanus (Amoreux, 1789)
Figure 4: Buthus occitanus, a specimen in the dark (photo by Marco Colombo).
Fig. 12 - MSNM i28016. Short crab trackway crossing a in Anomuran and brachyuran trackways and resting trace from the Pliocene of Valduggia (Piedmont, NW Italy): environmental, behavioural, and taphonomic implications
Fig. 12 - MSNM i28016. Short crab trackway crossing a series of smooth ripplemarks (× 0.6).
Fig. 1 in Anomuran and brachyuran trackways and resting trace from the Pliocene of Valduggia (Piedmont, NW Italy): environmental, behavioural, and taphonomic implications
Fig. 1 - Geographical map of the fossiliferous locality (in red).
Fig. 14 - MSNM i28018 front. Crab trackway crossing a in Anomuran and brachyuran trackways and resting trace from the Pliocene of Valduggia (Piedmont, NW Italy): environmental, behavioural, and taphonomic implications
Fig. 14 - MSNM i28018 front. Crab trackway crossing a series of smooth ripplemarks (× 0.4).
Dataset for Paul et al., "Trace metals in coastal marine sediments: Natural and anthropogenic sources, correlation matrices, and proxy potentials", Science of The Total Environment (STOTEN-175789, 2024)
<p>The datafile (.xlsx format) contains the solid phase data for all study sites presented in the associated STOTEN publication <a href="https://doi.org/10.1016/j.scitotenv.2024.175789" target="_blank" rel="noopener">(10.1016/j.scitotenv.2024.175789)</a></p> <ol> <li>specifics on the ICP-MS and ICP-OES analysis</li> <li>solid-phase data (Pb, Cd, Cu, Zn, Sb, Sn, Ni, As, Tl, V, Mo, U, Re, TOC, S, Fe, Mn, and Al)</li> <li>coefficient of variation test results (as a basis for evaluating the applicability of data normalizations to the data; i.e. calculation of Enrichment Factors, cf. method section of the original publication)</li> </ol> <p>Please note that the title of the paper and the publication number has changed upon final publication. The Excel file description still refers to the original manuscript number and title "Trace metals in coastal marine sediments: anthropogenic sources, correlation patterns, and proxy potentials".</p>
Raw trace data for GVARP artifact
<p>Raw trace containing ANT-MOC tracing data with 128 GPUs.</p> <div> <div>One should install the gvarp artifact before analyzing this raw trace: <a href="../records/10975567">GVARP-artifact (zenodo.org)</a></div> <div> </div> <div>To analysis the performance variance in this raw trace, one can use the following commands:</div> <div> <pre><code>GVARP_HOME=/path/to/gvarp-artifact VERSION=500_stream_2024_02_15_03_08_20 variance_analysis -i measurement_${VERSION} -o variance_${VERSION} -f python3 ${GVARP_HOME}/scripts/analysis/variance/heatmap.py --input variance_${VERSION} --output heatmap_${VERSION}</code></pre> <p>The analysis results should be presented as a figure (e.g., comm.png) located in the folder heatmap_${VERSION}.</p> </div> </div>
High-resolution topography data and fault trace along the Southern Riyueshan fault, NE margin of Tibetan Plateau, China
<p>High-resolution digital elevation models (DEM) topography data extracted from the uncrewed aerial vehicle (UAV) of a DJI (Dajiang Innovations Science and Technology Co., Ltd.) Phantom 4 RTK, and GF-7 satellite stereo imagery. The trace of the Riyueshan fault is interpreted based on these high-resolution topography data.</p>
Data set supporting Journal article: Siebicke, L., and Emad, A., "True eddy accumulation trace gas flux measurements: proof of concept", Atmos. Meas. Tech., 12, 1–28, 2019.
<p>This data set contains carbon dioxide trace gas flux measurements obtained by the true eddy accumulation technique as described in the research article:</p> <p>Siebicke, L., and Emad, A., "True eddy accumulation trace gas flux measurements: proof of concept", Atmos. Meas. Tech., 12, 1–28, 2019.</p> <p>It contains meteorological measurements (file "meteo.csv"), turbulent energy fluxes (file "energy_fluxes.csv"), three-diomensional wind vector measurements ("file wind.csv"), and carbon dioxide trace gas fluxes obtained by true eddy accumulation (file "co2_flux_TEA.csv") and eddy covariance using data from two separate anomemoters (files "co2_flux_EC_TEA_sonic.csv" and "co2_flux_EC_EC_sonic.csv").</p>
Synthesis of Fault Traces in SE Louisiana Relative to Infrastructure
<p>Corresponding data set for Tran-SET Project No. 17GTLSU12. Abstract of the final report is stated below for reference:</p> <p>"Geological faulting has been implicated as a contributor to subsidence, coastal land-loss and submergence of marshlands in southern Louisiana. This report reviews whether fault motion, either by slow creep or more sudden slip, can cause deformation of engineered structures resulting in increased infrastructure maintenance and repair costs. The impact of surface, or near-surface, geologic faulting on critical infrastructure is insufficiently documented in southeastern Louisiana, but the state has a vast amount of energy-sector subsurface data that to date has been under-utilized for transportation and other near-surface engineering applications. Recent and on-going work by research groups at Tulane University, University of New Orleans, and University of Louisiana at Lafayette use energy industry subsurface data, including well data and 2D and 3D seismic reflection data to map and project deep-seated faults that have been in place for millions of years, to create provisional surface fault trace maps. Accurate characterization of active fault locations and effects using both subsurface and surface methods will aid in the design and placement of infrastructure, as well as in developing appropriate mitigation methods. Descriptive criteria for reliability of fault locations were developed and are based on resources used in the interpretation and map scale: Level 1 suspected faults – described in the literature and included here from georeferenced maps; Level 2 identified faults – those observed on 2D or 3D seismic and mapped in a geographic reference system; Level 3 confirmed faults – mapped on seismic and ground-truthed with field methods including age-dated sediment borings and high-resolution seismic. We have compiled data resources in a GIS-based system for simple retrieval and map-based review so that additional work specific to critical infrastructure projects can be prioritized. The intent is to give the public information, so that they may better assess the importance of faulting in any particular project area and as a resource to identify areas that already have energy industry seismic available."</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.