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6,782 results for “project”
Harmonized analysis of microplastics: Insights from practical application within the FACTS project
<p>The pollution of the environment with plastics is of emerging concern. While first initiatives aim to reduce the input of these materials, the already existing amounts pose a problem. Due to degradation and fragmentation the initially large items form micro- and nanoplastic particles. Yet the analysis of these contaminates is hampered due to increasing number of analytical pipelines and tools in the different laboratories. In the recent years, various projects aimed to provide information about these issues at different scales. Here, we present the harmonization procedures derived and applied within the "Fluxes and Fate of Microplastics in Northern European Waters" (FACTS) project. To achieve a project internal harmonization the available sampling techniques, sample extraction methods, quality assurance measures aand protocols as well as analytical techniques were collected, evaluated and finally transferred into commonly agreed harmonized procedures. These procedures were afterwards applied in the planning of a large scale sampling campaign along the Norwegian Coast and within the Bergen Fjord. This was achieved by defining the filter mesh sizes for filtration pumps and sampling nets as well as the amount of sediment sampled. In contrast to sampling, the extraction was more difficult to harmonize yet a common agreement was derived by using Fenton's reagent oxidation for the removal of organic matter and sodium bromide for density separation following the laboratory internal protocol. Finally, the for analysis FTIR microscopy shall be applied using a common database and software tool (siMPle) allowing a following pyrolysis gas chromatography-mass spectrometry (py-GC/MS) analysis. The experience during the application of these protocols within FACTS will be discussed and further contextualized with the results of the "EUROpean Quality Controlled Harmonisation Assuring Reproducible Monitoring and assessment of plastic pollution" (EUROqCHARM) project. Also see: https://micro2022.sciencesconf.org/427364/document</p>
Datasheets and R-codes for flood mortality and income inequality project
<p>This zipped folder contains the compiled datasheets, raw figures, tables and R-codes for the analysis conducted in 2023 by Sara Lindersson, as reported in the following preprint:</p> <p>Sara Lindersson, Elena Raffetti, Maria Rusca, Luigia Brandimarte, Johanna Mård and Giuliano Di Baldassarre. <em>The wider the gap between rich and poor, the higher the flood mortality.</em> 2023. PREPRINT (revised manuscript)</p> <ul> <li>Dataset v. 1.0 corresponds to the first version of the manuscript, submitted in 2022.</li> <li>Dataset v. 2.0 corresponds to the revised manuscript, submitted in 2023.</li> </ul>
Dataset related to the publication "Simulation of pressure-induced cavity deformation – the 18SIB04 Quantumpascal EMPIR project"
<p>The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.</p>
The Cyclostratigraphy Intercomparison Project (CIP): consistency, merits and pitfalls
<p>Supplementary materials for Submission: Sinnesael et al., Earth-Science Reviews "The Cyclostratigraphy Intercomparison Project (CIP): consistency, merits and pitfalls ". Earth Science Review 199, #102965, 2019. </p> <p>Matthias Sinnesaela, David De Vleeschouwer, Christian Zeedenc, Sietske J. Batenburg, Anne-Christine Da Silva, Niels J. de Winter, Jaume Dinarès-Turell, Anna Joy Drury, Gabriele Gambacorta Frederik J. Hilgen, Linda A. Hinnov, Alexander J.L. Hudson, David B. Kemp, Margriet L. Lantink, Jiří Laurin, Mingsong Li, Diederik Liebrand, Chao Ma, Stephen R. Meyers, Johannes Monkenbusch, Alessandro Montanari, Theresa Nohl,Heiko Pälike, Damien Pas, Micha Ruhl, Nicolas Thibault, Maximilian Vahlenkamp, Luis Valero, Sébastien Wouters, Huaichun Wu, Philippe Claeys</p>
KidDO project update - quantitative proteomic and metabolomic analysis of five mouse models with chronic kidney disease
<p>Chronic kidney disease (CKD) is one of the most deadly diseases faced by patients and is a major global health and socioeconomic burden.CKD increases cardiovascular morbidity and premature mortality and decreases quality of life. Hypertension (HTN) and type 2 diabetes mellitus (T2DM), which are reaching epidemic levels, are major risk factors for CKD. CKD diagnosis and progression is based on estimated GFR (eGFR) and urinary albumin excretion. However, eGFR only has a predictive value in advanced disease and there is risk of progressive CKD in non-albuminuric individuals. Thus, there is an urgent need for new approaches for early detection of the most “at risk” individuals and identification of CKD signatures to aid in designing novel drugs and preventive measures that could ameliorate progression of CKD.</p> <p>Our overarching goal is to identify metabolites that predict kidney cell phenotypes during CKD and how crosstalk of these metabolites with the proteome drive CKD progression. We will integrate metabolomics and proteomic information from animal models of CKD with human CKD patient biopsies to identify common signatures in the tubulointerstitium that correlate with human pathophysiology.</p> <p>Here we provide quantitative proteomic and metabolomic datasets, as well as plasma and urine electrolyte measurements on five CKD mouse models.</p>
Multivariate projected ensemble of "Downscaling CORDEX through deep learning to daily 1 km multivariate ensemble in complex terrain"
<p>Multivariate statistically downscaled projected ensemble for different combinations of GCM-RCMs of both stochastic and deterministic runs for eight historical runs, eight RCP85 runs and one RCP26 run. Selection of good perfoming GCM-RCM combinations in NetCDF format. Variables: precipitation, water vapour pressure, radiation, wind speed, and, maximum, mean and minimum temperature.</p>
2020_04_08_Percentages_of_MA_projects
Dataset related to WP1 'Knowledge mapping and co-creating best practices' INTERVIEWS with multi-actor projects (MAPs)
Data management table for PhD project:Reconquering the city: Pastoral agency and spatial impact of workers' parishes in Belgium (1884-1914)
<p>In this data management table I organized additional information on all the sorts of data I am or will be using in the course of my research project. The content of the table sheds a light on why, how and for who I work on these different kinds of data.</p>
Clean Sky 2 - SALUTE H2020 Project : 2D smart liner data
<p>This data concerns all obtained measurment in paper :In flow acoustic characterisation of a 2D active liner with local and non<br> local strategies. K. Billon, E. De Bono, M. Perez , E. Salze, G. Mattenand al, Applied Acoustics 191 (2022) 108655, https://doi.org/10.1016/j.apacoust.2022.108655</p>
Investigating the Point of View of Project Management Practitioners on Technical Debt - A Study on Stack Exchange
<p>Investigating the Point of View of Project Management Practitioners on Technical Debt - A Study on Stack Exchange.</p> <p>Journal of Software Engineering Research and Development (JSERD) 2023.</p> <p> </p>
Determined Material Properties within the framework of the NCN project (OPUS) No. 2021/41/B/ST8/00148
<p>This file presents information on the determination of material properties, of the composite material undertaken for the study. The file presents both the data from which the material properties were determined and also summarises and averages the extracted data in tabular form. The data relates to the composite material manufactured for the NCN project (OPUS) No. 2021/41/B/ST8/00148.</p>
Surface hourly measurement data of O3, NO2 and PM2.5 for "Large modeling uncertainty in projecting decadal surface ozone changes over urban and industrial regions of China"
<p>Surface hourly measurement data of O3, NO2 and PM2.5 during summer of 2017.</p> <p>In the .csv files, the first column contains the ID for each measurement site. "lon", "lat" are longitude and latitude, respectively.</p> <p>Date format is "YYYYMMDD_hour".</p>
Dataset for FNS project 'Stretchable Electrohydrodynamics'
<p>This deposit contains the dataset for the 'Stretchable Electrohydrodynamics' project funded by the Swiss National Science Foundation (FNS project IZLJZ2_183656).</p> <p>Please refer to the included readme files for a detailed description of the contents.</p> <p>This data set was published at the end of the FNS project. After the end of this project, we published a paper 'Fiber pumps for wearable fluidic systems' in <a href="https://www.science.org/doi/10.1126/science.ade8654">Science</a>. There is also a <a href="https://zenodo.org/record/7451722#.ZEDmvHZBwuU">data repository for that paper</a>, which contains all of the data in this repository as well as additional data, images and videos that could not be published at the time this repository was made public due to an embargo. </p>
Data for: Targeted anatomical and functional identification of antinociceptive and pronociceptive serotonergic neurons that project to the spinal dorsal horn
<p>Spinally-projecting serotonergic neurons play a key role in controlling pain sensitivity and can either increase or decrease nociception depending on physiological context. It is currently unknown how serotonergic neurons mediate these opposing effects. Utilizing virus-based strategies, we identified two anatomically separated populations of serotonergic hindbrain neurons located in the lateral paragigantocellularis (LPGi) and the medial hindbrain, which respectively innervate the superficial and deep spinal dorsal horn and have contrasting effects on pain perception. Our tracing experiments revealed an unexpected high selectivity of serotonergic neurons of the LPGi for transduction with spinally injected AAV2retro vectors while medial hindbrain serotonergic neurons were largely resistant to AAV2retro transduction. Taking advantage of this selectivity, we employed intersectional chemogenetic approaches to demonstrate that activation of the LPGi serotonergic projections decreases thermal sensitivity, whereas activation of medial serotonergic neurons increases sensitivity to mechanical von Frey stimulation. Together these results suggest that there are functionally distinct classes of serotonergic hindbrain neurons that differ in their anatomical location in the hindbrain, their postsynaptic targets in the spinal cord, and impact on nociceptive sensitivity. At least the LPGi neurons give rise to rather global and bilateral projections throughout the rostrocaudal extent of the spinal cord suggesting that they contribute to widespread systemic pain control.</p>
Proof of Concept database with inputs and outputs of the Master thesis: Analyzing Software Delivery Performance behavior in popular Open Source Software Projects on a Release timeline basis through delivery metrics
<p>The software has become one of the main assets to deliver services today. Thus, software delivery has been dealing with a competitive and dynamic environment where the demand for faster and more assertive deliverables, called here Releases, only increases. Agile development methods emerged helping to accelerate software delivery, embracing industry and open source community. Since then, the software delivery frequency has expanded and improved bringing more adopters of rapid release cycles to reduce their time-to-market. However, using only rapid releases can not be enough as measuring software delivery can answer essential questions, like how software delivery is happening and how it should be. Some approaches for measuring software delivery appeared such as Software Delivery Performance (SDP) where software delivery is measured as a consequence of capabilities evolution. Popularity in Open Source Software Projects (OSSP) means that a project is mature enough in the community to fit the software demand and, therefore, is likely to be ready to be measured through a software delivery approach like SDP. In light of it, this work offers means to analyze SDP behavior in popular Open Source Software Projects on a Release timeline basis through delivery metrics. The results demonstrated that popularity is efficient filtering, as it improves the OSSP delivery, supporting the work's reliability and accuracy. The source code and methodology are published as a replication package to encourage reproducibility and future research.</p>
Results of the crowd-mapping action within the project TeRRIFICA [Dataset No. 2 dated 2023-01-19]
<p>The dataset includes the results of the crowd-mapping action within the project "Territorial RRI fostering innovative climate action" - TeRRIFICA (Horizon 2020 under GA 824489) dated 2023-01-19. The data are points added to the map by the users (volunteers) and represent locations where climate change-related issues occur regarding air temperature, air quality, water, soil, and wind (SPOTS). The second part of the dataset is related to the crowd-mapping users and their anonymized characteristics (USERS). More details are available at https://terrifica.eu/.</p>
Total Particulate Carbon and Nitrogen Concentration from R/V Melville MV1015 in the S. Pacific from Arica, Chile to Easter Island, 2010 (C-MORE project)
<p>"The South East Pacific (SEP) is characterized by very high nutrient concentrations in the waters adjacent to the Chilean coast, but very low nutrient concentrations (oligotrophic) in the mid- South Pacific Subtropical Gyre (SPSG), near Easter Island. The steep gradient in nutrient concentrations across the region affects the level of marine production, the composition of the microbial community, and the operation of major biogeochemical cycles in ways that are not fully understood. Despite the remarkable diversity of trophic conditions, strong gradients and even some unique singularities, the SEP is still the most sparsely sampled oceanic region of the global ocean from hydrodynamic, biological and biogeochemical points of view. The SPSG is also the most oligotrophic of all sub-tropical gyres. Previous expeditions and remote sensing studies have described the nutrient and chlorophyll field, but there have been few simultaneous measurements of chemical properties with microbial community structure and function. This expedition is designed to investigate the impact of elemental nutrient (nitrogen, phosphorus, iron, silicon, carbon) ratios on marine productivity and microbial community composition. Samples for PC (particulate carbon) and PN (particulate nitrogen) were collected on a combusted 25mm glass fiber filter (GF/F) and stored in a -80 freezer until analysis. Samples were further analyzed using a Carlo Erba NA 1500 Elemental Analyzer." Time is in GMT. Note: it is questionable if the 500m sample collected on 2010-11-27 was really taken at 500m (see comment on data sheet). This “best guess” for depth was included in the data for CMAP visualization purposes.</p> <p>This description has been reproduced using the following source:<br> <br> http://dmoserv3.bco-dmo.org/jg/info/BCO-DMO/CMORE/bigrapa/PCPN%7Bdir=dmoserv3.bco-dmo.org:80/jg/dir,data=dmoserv3.bco-dmo.org:80/jg/serv/BCO-DMO/CMORE/bigrapa/PCPN.html1%7D?</p>
BiG RAPA Water Column HPLC Pigments from R/V Melville MV1015 in the South Pacific from Arica, Chile to Easter Island from November to December 2010 (C-MORE project)
<p>“The South East Pacific (SEP) is characterized by very high nutrient concentrations in the waters adjacent to the Chilean coast, but very low nutrient concentrations (oligotrophic) in the mid- South Pacific Subtropical Gyre (SPSG), near Easter Island. The steep gradient in nutrient concentrations across the region affects the level of marine production, the composition of the microbial community, and the operation of major biogeochemical cycles in ways that are not fully understood. Despite the remarkable diversity of trophic conditions, strong gradients and even some unique singularities, the SEP is still the most sparsely sampled oceanic region of the global ocean from hydrodynamic, biological and biogeochemical points of view. The SPSG is also the most oligotrophic of all sub-tropical gyres. Previous expeditions and remote sensing studies have describes the nutrient and chlorophyll field, but there have been few simultaneous measurements of chemical properties with microbial community structure and function. This expedition is designed to investigate the impact of elemental nutrient (nitrogen, phosphorus, iron, silicon, carbon) ratios on marine productivity and microbial community composition.” This BiG RAPA dataset contains water column HPLC pigment data from samples collected via Niskin bottles attached to a CTD. Time is in GMT.</p> <p><br> This description has been reproduced using the following source:</p> <p><br> http://dmoserv3.bco-dmo.org/jg/info/BCO-DMO/CMORE/bigrapa/pigments_watcol%7Bdir=dmoserv3.bco-dmo.org:80/jg/dir,data=dmoserv3.bco-dmo.org:80/jg/serv/BCO-DMO/CMORE/bigrapa/pigments_watcol.html1%7D?</p>
Nutrients from R/V Melville MV1015 in the South Pacific from Arica, Chile to Easter Island from November to December 2010 (C-MORE project)
<p>"A 5-channel, continuous flow analyzer was used for dissolved nutrient determinations on the BIG RAPA cruise. Alpkem and Technicon AutoAnalyzer II™ components were used to measure phosphate, ammonium, nitrite, silicic acid and nitrate plus nitrite (N+N). A Keithley model 575 data acquisition system backed by analog strip chart recorders was used to acquire the data. Absorbance data was converted to concentrations using the OSU program NUTCALC." Time is in GMT. More detailed information is available at: http://dmoserv3.bco-dmo.org/jg/info/BCO-DMO/CMORE/bigrapa/nutrients%7Bdir=dmoserv3.bco-dmo.org:80/jg/dir,data=dmoserv3.bco-dmo.org:80/jg/serv/BCO-DMO/CMORE/bigrapa/nutrients.html1%7D?</p>
GEOLAB Transnational Access project RELERT - Risk and reliability study in quick clay
<p>Quick clay is characterised by complete collapse and liquid-like mobility when overloaded. Quick clay is found primarily in Norway and Sweden, but also exists in Finland, Russia, Canada and Alaska. Quick clay landslides, with their retrogression characteristics and extreme mobility, pose significant risk to human lives, infrastructure, property and surrounding ecosystems. Hence, the proper characterization of quick clay sites is essential for ensuring the safety and resilience of infrastructure in Norway and elsewhere in Europe.</p> <p>The current practice for mapping quick clay in Norway relies heavily on borehole data with either rotary sounding or total sounding and core samples tested in the laboratory. The only method for identifying quick clay with certainty is physical testing in the laboratory, but it is time-consuming, expensive and gives limited information, i.e., only at the depths and locations where the sample is taken. In Norway, rotary sounding and total soundings are frequently used in mapping of quick clay. In addition, geophysical methods such as Electrical Resistivity Tomography (ERT) are also occasionally used to supplement the results from soundings, particularly in early stage of ground investigation. Rotary sounding is regarded as the most cost-effective method for detecting potentially quick clay pockets.</p> <p>The accuracy of quick clay mapping by a certain ground investigation method increases with increasing number of boreholes and decreasing distances to the boreholes in the area of interest. The accuracy is also increased with additional data sources such as ERT and/or other geophysical methods. Each rotary sounding, for example, provides information on the potential occurrence of quick clay with high accuracy at its location, but the accuracy decreases with increasing distance from the actual location of the rotary sounding. Current practice of mapping quick clay rarely deals with uncertainties associated with ground investigations quantitatively. The uncertainties arise due to various sources including the interpretation of the rotary sounding, the number of soundings and the distance from the soundings, the equipment itself and the testing procedure. Dealing with uncertainty currently relies heavily on engineering judgement, which is subjective.</p> <p>Transnational Access project RELERT is funded through the 1<sup>st</sup> call for proposal for the GEOLAB project. This project aims at developing models and validated on results from field testing to deal with uncertainty in ground characterisation in quick clay area more quantitatively.</p> <p>The objectives of the RELERT project are:</p> <p>(i) to obtain and process ground investigation data profiles at the Tiller-Flotten quick clay site (i.e. rotary soundings and ERT (electrical resistivity tomography) profiles. Notes: some of the data reported is obtained in earlier field investigation campaign but are processed and reported in this projects.</p> <p>(ii) to build a mathematical model that characterizes the spatial variability of quick clays in Norway and</p> <p>(iii) to develop a methodology for reliability assessment of quick clay sites under retrogressive failure.</p> <p>We employ rotary soundings, soil samples and will use ERT-results in further study to learn the parameters of a hierarchical random field model, recently proposed by the user group for modelling the inherent spatial variability of material properties. The parameters of the model is learned by application of Bayesian analysis on the ground investigation data.</p> <p>In further studies, we plan to use the model in slope reliability assessments under retrogressive slope failure through application of Monte Carlo methods. The results of the study are and will be documented in joint publications of the host and user groups.</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.