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3,172 results for “Publications”
A Dataset and supplementary materials for the article ''Energy poverty and fiscal ressource'' submited in International Tax and Public Finance.
<p>We have two version of dataset, excel and stata with the supplementary materials of the articles which contain colour figures and tables.</p>
Supplementary Movies for Pérez-Gussinyé et al. (2023) Synrift and postrift thermal evolution of rifted margins: a re-evaluation of classic models of extension Accepted in GSL Special Publications
<p>Movie S1. Evolution of deformation for the three models shown in Figures 2 and 3. Full extension rate is 10 mm/yr. Sedimentation rate is given in Figures 2 and 3 and Methods (see also Table 1). Red shading shows brittle strain rate, blue shading shows ductile strain rate. The sediments are color coded with age since the start of rifting. The color circles are trackers. The color conventions for the phases are the same as in Figures 1 and 2.</p><p> </p><p>Movie S2. Top: Thermal evolution of the 10 mm/yr full rifting velocity model without sedimentation along with markers (model shown in Figures 2a-e and 3a-c). Grey shading indicates strain rate. Note the development of small scale convection cells. Middle: Evolution of the basement heat flow of markers shown in top panel. Bottom: Evolution of the basement temperature at markers shown in top panel. Note that the horizontal and vertical scale change in the postrift to better show the small scale convection in the top panel.</p><p> </p><p>Movie S3. Top: Thermal evolution of the10 mm/yr full rifting velocity model with average sedimentation along with markers (model shown in Figures 2f-j and 3d-g). Grey shading indicates strain rate. Note the development of small scale convection cells. Middle: Evolution of the basement heat flow of markers shown in top panel. Bottom: Evolution of the basement temperature at markers shown in top panel. Note that the horizontal and vertical scale change in the postrift to better show the small scale convection in the top panel.</p><p> </p><p>Movie S4. Top: Thermal evolution of the 10 mm/yr full rifting velocity model </p><p>with largest sedimentation along with markers (model shown in Figures 2k-o and 3h-k). Grey shading indicates strain rate. Note the development of small scale convection cells. Middle: Evolution of the basement heat flow of markers shown in top panel. bottom: Evolution of the basement temperature at markers shown in top panel. Note that the horizontal and vertical scale change in the postrift to better show the small scale convection in the top panel.</p><p> </p><p> </p><p>Movie S5. Evolution of temperature field for the 10 mm/yr full rifting velocity without sedimentation, (model shown in Figures 2a-e and 3a-c). b) and c) show the geotherms of trackers shown in a) computed from the dynamic model (solid colored lines), and from the ´1-D temperature´ solution (dashed colored lines). The black curve shows the initial geotherm used for the dynamic temperature and for the ´1-D temperature´ calculations. Grey shading indicates strain rate. Note that the horizontal scale is changing to show the rifted margins as the model evolves.</p><p> </p><p>Movie S6. Evolution of temperature field for the 100 mm/yr full rifting model without sedimentation, (model shown in Figures 2a-e and 3a-c). b) and c) show the geotherms of trackers shown in a) computed from the dynamic model (solid colored lines), and from the ´1-D temperature´ solution (dashed colored lines). The black curve shows the initial geotherm used for the dynamic temperature and for the ´1-D temperature´ calculations. Grey shading indicates strain rate. Note that the horizontal scale is changing to show the rifted margins as the model evolves.</p>
Filling knowledge gaps in insect conservation by leveraging genetic data from public archives
<p>Based on data collection from NCBI GenBank and BOLD, we edited a georeferenced database of barcoding data for the insect taxa within the Italian IUCN Red Lists: saproxylic beetles, butterflies, bees, and dragonflies.</p> <p>The goal of this database is to support the estimation of the genetic diversity of the listed insect species. The database populated with barcoding sequences and additional metadata will allow studies in order to define biodiversity pattern models in Italy and Europe.</p> <p>Our database allows recycling and re-analysing data from two major repositories such as NCBI GenBank and BOLD, increasing accessibility to big data for comparative study to facilitate genetic and spatial analyses on a large scale. Our findings suggest to fill many gaps in the knowledge of species occurrence, distribution, and patterns of genetic diversity for insects in Europe.</p>
Ataset of the publication "Is red distribution width a valid tool to predict impaired iron transport in heart failure?"
<p>Background: Impaired iron transport (IIT) is a form of iron deficiency (ID) defined as transferrin saturation (TSAT) < 20% irrespective of serum ferritin levels. It is frequently observed in heart failure (HF) where it negatively affects prognosis irrespective of anaemia. Objectives: In this retrospective study we searched for a surrogate biomarker of IIT. Methods: We tested the predictive power of red distribution width (RDW), mean corpuscular volume (MCV) and mean corpuscular haemoglobin concentration (MCHC) to detect IIT in 797 non-anaemic HF patients. Results: At ROC analysis, RDW provided the best AUC (0.6928). An RDW cut-off value of 14.2% identified patients with IIT, with positive and negative predictive values of 48 and 80%, respectively. Comparison between the true and false negative groups showed that estimated glomerular filtration rate (eGFR) was significantly higher (p = 0.0092) in the true negative vs. false negative group. Therefore, we divided the study population according to eGFR value: 109 patients with eGFR ≥ 90 ml/min/1.73 m2, 318 patients with eGFR 60-89 ml/min/1.73 m2, 308 patients with eGFR 30-59 ml/min/1.73 m2 and 62 patients with eGFR < 30 ml/min/1.73 m2. In the first group, positive and negative predictive values were 48 and 81% respectively, 51 and 85% in the second group, 48 and 73% in the third group and 43 and 67% in the fourth group. Conclusion: RDW may be seen as a reliable marker to exclude IIT in non-anaemic HF patients with eGFR ≥60 ml/min/1.73 m2.</p>
Database publication - To Replicate, or Not to Replicate? The Creation, Use, and Dissemination of 3D Models of Human Remains: A Case Study from Portugal, Heritage 2022, 5,
<p>This database contains the data used in the manuscript - Alves-Cardoso, F.A.; Campanacho, V. To Replicate, or Not to Replicate? The Creation, Use, and Dissemination of 3D Models of Human Remains: A Case Study from Portugal. <em>Heritage </em><strong>2022</strong>, <em>5</em></p> <p>Abstract:</p> <p>Advancements in digital technology have conquered a place in cultural heritage. The widespread use of three-dimensional scanners in bioanthropology have increased the production of 3D digital replicas of human bones that are freely distributed online. However, ethical considerations about such 3D models have not reached Portuguese society, making it impossible to assess their societal impact and people’s perception of how these models are created and used. Therefore, Portuguese residents were asked to take part in an online survey. The ratio of male to female participants was 0.5:1 in 312 contributors. The age ranged between 18 and 69 years. The majority had a higher education degree. Only 43% had seen a 3D model, and 43% considered the 3D replicas the same as real bone. Also, 87% would be willing to allow their skeleton and family members to be digitalized after death, and 64% advocated the controlled dissemination of replicas through registration and login and context description association (84%). Overall, the results suggest agreement in disseminating 3D digital replicas of human bones. On a final note, the limited number of participants may be interpreted as a lack of interest in the topic or, more importantly, a low self-assessment of their opinion on the subject.</p>
Dataset related to publication: Discovery of Human Constitutive androstane receptor (CAR) agonists with imidazo[1,2-a]pyridine structure
<p>MD simulation data related to the publication Ivana Mejdrová et al.:Discovery of Human Constitutive androstane receptor (CAR) agonists with imidazo[1,2-a]pyridine structure</p> <p>Individual .zip files contain raw-desmond trajectories (trj. zip files)</p> <p>individual raw-data.zip files corresponde to the trajectory analysis.</p> <p>5us_XVP_619 corresponding name in the manuscript is ; 5us_XVP_37</p> <p>5us_XVP_676 corresponding name in the manuscript is ; 5us_XVP_39</p> <p>5us_XVP_693 corresponding name in the manuscript is ; 5us_XVP_40</p> <p>5us_XVP_763 corresponding name in the manuscript is ; 5us_XVP_48</p> <p>5us_XVP_CIT corresponding name in the manuscript is ; 5us_XVP_CITCO</p> <p> </p> <p> </p>
Data for publication "CMIP6 trends of oceanic variables (2015-2100)"
<p>These netCDF files are made available as part of the paper: G. Ibarra-Berastegui, J. Sáenz, A. Ulazia, S. J. González-Rojí & G. Esnaola (2024) "CMIP6 trends of oceanic variables (2015-2100)", submitted to Ocean Engineering. The dataset holds the trends of several variables needed to reproduce the results included in the manuscript.</p> <p>The files are named following the same structure: <em>${Variable}</em>_trend_<em>${SSP}</em>_<em>${Season}</em>perz.nc</p> <ul> <li>Variable: This dataset includes the trends (in % with respect to current-day values) of four variables for the period 2015-2100: wave energy flux (WEF), wind speed (U), mean wave period (mwp; Tm in the paper) and significant wave height (swh; Hs in the paper). *</li> <li>SSP: The analysis is performed for two Shared Socioeconomic Pathways (SSP): the lowest and highest GHG emission climate scenarios, SSP 1-2.6 and SSP 5-8.5 respectively.</li> <li>Season: The trend analysis is performed for the entire year (YE) or for each season: spring (SP), summer (SU), autumn (AU) or winter (WI). </li> </ul> <p>* Note that, as explained in the manuscript, the current-day oceanic values have been obtained from ERA5 global averages corresponding to the 1985-2014 period. The ERA5 data can be downloaded from the official website of the ECMWF. </p>
PUBLIC ENVIRONMENTAL CONCERNS PROMOTE REGIONAL GREEN INNOVATION
<p><span><span>Green technology innovation is </span><span>fundamental to solving</span><span> resource and environmental problems. As a </span></span><span><span>"</span></span><span><span>soft constraint,</span></span><span><span>"</span></span><span><span> public environmental concern </span><span>is increasingly prominent</span><span> in green innovation. </span><span>In t</span><span>his paper</span><span>, we</span><span> construct a public-innovators evolutionary game model and theoretically demonstrates that public concern is critical for innovators to change their short-sighted behavior and carry out green innovation. Based on the </span><span>Baidu index</span><span> data</span><span> of 289 cities in China from 2011 to 2019, we further empirically tested the</span><span> effect</span><span> of public concern on regional green innovation by the fixed effect model and the two-stage least square (2SLS) method. The results indicate that public environmental concern positively affects green innovation. </span><span>Specifically, for every 1% increase in public concern about the environment, green innovation in the city rose 2.1%. </span><span>Moreover, government investment in environmental governance is a significant channel through which public concern influences green innovation. Heterogeneity analysis further showed that the positive effect of public concern is more pronounced in economically developed cities than in smaller and less developed cities. Finally, we put forward three possible policy implications: broadening channels for public participation, disclosing environmental information timely, and actively responding to public concerns.</span></span><span> </span></p>
Data files for the publication "Dissecting the hydrogen bond network of water: charge transfer and nuclear quantum effects"
<p>This dataset includes text/dat files for all the data included in the manuscript "Dissecting the hydrogen bond network of water: charge transfer and nuclear quantum effects".</p>
Demo dataset for publication "Development of image analysis tool to evaluate Langerhans cell migration after exposure to isothiazolinones"
<p>This dataset consists of a QuPath project and two images that can be used to test the scripts produced by the publication </p> <p>"Development of image analysis tool to evaluate Langerhans cell migration after exposure to isothiazolinones"</p>
Supplementary data repository for publication "Machine hammer peening as a post-processing treatment for powderbed manufactured maraging steel X3NiCoMoTi18-9-5 (1.2709)"
<p>Supplemantary data repository for investigation on powderbed 3D printed tesnile specimens in raw and postprocessed conditions.</p> <p>This readme contains a brief description of the chosen materials, parts and testing devices as well as the perfomed testing methods, including tensile testing, hardness testing and microstructural analysis, with references to the respective supplementary data in the repository. An explanation of the data aquisition and processing methods, together with the used nomenclature is given as well.</p> <p>The dataset is compressed as `Dataset.zip` to preserve the folder structure.</p> <p>See README.MD or README.PDF for detailed description of the dataset.</p> <p> </p>
Dataset for the publication "Deployment of an electrocorticography system assisted with a soft robotic actuation"
<p>Electrocorticography (ECoG) is a minimally invasive approach frequently used clinically to map epileptogenic regions of the brain and facilitate lesion resection surgery, and increasingly explored in brain-machine interface applications. Current devices display limitations that require trade-offs between cortical surface coverage, spatial electrode resolution, aesthetic, and risk consequences, and often limit the use of the mapping technology to the operating room. In this work, we report on a scalable technique for the fabrication of large-area soft robotic electrode arrays and their deployment on the cortex through a square centimeter burr hole using a pressure-driven actuation mechanism called eversion. The deployable system consists of up to six pre-folded soft legs and it is placed subdurally on the cortex using an aqueous pressurized solution and secured to the pedestal on the rim of the small craniotomy. Each leg contains soft, microfabricated electrodes and strain sensors for real-time deployment monitoring. In a proof-of-concept acute surgery, a soft robotic electrode array was successfully deployed on the cortex of a minipig to record sensory cortical activity. This soft robotic neurotechnology opens promising avenues for minimally invasive cortical surgery and applications related to neurological disorders such as motor and sensory deficits.</p>
Typical daily generation and consumption electrical power profiles per month in three public buildings
<p>Electrical power values in kW representing the daily average profile of PV production and building consumption per month in three Mediterannean countries: Cyprus, Greece, and Italy. The time step of the data sets is 15min. The PV production is provided per kWp excluding the inverter losses, i.e., at the dc side of the inverter, based on data from PVGIS platfrom for the case of Cyprus and Italy, and on real measurements for the case of Greece.</p>
Non-public 5G Network End-to-end Monitoring Test Results
<p>Test results of a non-public 5G network end-to-end monitoring architecture implementation.</p>
Serial Sampling of the Small Airway Epithelium Over 1 Year in the Same Individuals to Identify “Public” Genes Commonly Dysregulated by Smoking [RNA-Seq]
GEO Series GSE130967. Homo sapiens. 44 samples. Type: Expression profiling by high throughput sequencing.
AePW publications
This will contain publications used by the AePW
Serial Sampling of the Small Airway Epithelium Over 1 Year in the Same Individuals to Identify “Public” Genes Commonly Dysregulated by Smoking [array]
GEO Series GSE133923. Homo sapiens. 87 samples. Type: Expression profiling by array.
Mouse Igf1 null publication analysis
GEO Series GSE11844. Mus musculus. 6 samples. Type: Expression profiling by array.
Serial Sampling of the Small Airway Epithelium Over 1 Year in the Same Individuals to Identify “Public” Genes Commonly Dysregulated by Smoking
GEO Series GSE133924. Homo sapiens. 131 samples. Type: Expression profiling by high throughput sequencing; Expression profiling by array.
ExpressionData - A public resource of high quality datasets representing gene expression across tissues, conditions, diseases and genotypes.
GEO Series GSE44938. Nicotiana tabacum. 18 samples. Type: Expression profiling by array.
ScienceDex guides
Understand access before you commit
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.