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1,429 results for “detail”
DESI 2023 details for AI indicator
<p>The following data has been selected from EUROSTAT isoc_eb_ai database:</p> <ul> <li>Enterprises don't use any AI system (of E_CHTB, E_BDAML, E_BDANL, E_RBTS)</li> <li>Enterprises use one AI system (of E_CHTB, E_BDAML, E_BDANL, E_RBTS)</li> <li>Enterprises use two AI systems (of E_CHTB, E_BDAML, E_BDANL, E_RBTS)</li> <li>Enterprises use three AI systems (of E_CHTB, E_BDAML, E_BDANL, E_RBTS)</li> <li>Enterprises use four AI systems (of E_CHTB, E_BDAML, E_BDANL, E_RBTS)</li> <li>Enterprises use AI technologies performing analysis of written language (text mining)</li> <li>Enterprises use AI technologies converting spoken language into machine-readable format (speech recognition)</li> <li>Enterprises use AI technologies generating written or spoken language (natural language generation)</li> <li>Enterprises use AI technologies identifying objects or persons based on images (image recognition, image processing)</li> <li>Enterprises use machine learning (e.g. deep learning) for data analysis</li> <li>Enterprises use AI technologies automating different workflows or assisting in decision making (AI based software robotic process automation)</li> <li>Enterprises use AI technologies enabling physical movement of machines via autonomous decisions based on observation of surroundings (autonomous robots, self-driving vehicles, autonomous drones)</li> <li>Enterprises use at least one of the AI technologies: AI_TTM, AI_TSR, AI_TNLG, AI_TIR, AI_TML, AI_TPA, AI_TAR</li> <li>Enterprises don't use any of the AI technologies: AI_TTM, AI_TSR, AI_TNLG, AI_TIR, AI_TML, AI_TPA, AI_TAR</li> <li>Enterprises use at least two of the AI technologies: AI_TTM, AI_TSR, AI_TNLG, AI_TIR, AI_TML, AI_TPA, AI_TAR</li> <li>Enterprises use at least three of the AI technologies: AI_TTM, AI_TSR, AI_TNLG, AI_TIR, AI_TML, AI_TPA, AI_TAR</li> <li>Enterprises use AI technologies for marketing or sales</li> <li>Enterprises use AI technologies for production processes</li> <li>Enterprises use AI technologies for organisation of business administration processes</li> <li>Enterprises use AI technologies for management of enterprises</li> <li>Enterprises use AI technologies for logistics</li> <li>Enterprises use AI technologies for ICT security</li> <li>Enterprises use AI technologies for human resources management or recruiting</li> <li>Enterprises use AI technologies for at least one of the purposes: AI_PMS, AI_PPP, AI_PBA, AI_PME, AI_PLOG, AI_PITS, AI_PHR</li> <li>Enterprises use AI technologies for at least two of the purposes: AI_PMS, AI_PPP, AI_PBA, AI_PME, AI_PLOG, AI_PITS, AI_PHR</li> <li>Enterprises use AI technologies for at least three of the purposes: AI_PMS, AI_PPP, AI_PBA, AI_PME, AI_PLOG, AI_PITS, AI_PHR</li> </ul>
bioRxiv preprint and publication details, 2014-2023
<p>bioRxiv preprint and publication details, 2014-2023</p> <p>Details at: <a href="https://blog.stephenturner.us/p/exploring-the-biorxiv-api-with-r-httr2-rvest-tidytext-datawrapper" target="_blank" rel="noopener">https://blog.stephenturner.us/p/exploring-the-biorxiv-api-with-r-httr2-rvest-tidytext-datawrapper</a></p> <p>Code at: <a href="https://gist.github.com/stephenturner/e1487c90a98e6d5805a3211f0140e198" target="_blank" rel="noopener">https://gist.github.com/stephenturner/e1487c90a98e6d5805a3211f0140e198</a></p> <p>Original data pulled from the bioRxiv API: <a href="https://api.biorxiv.org/" target="_blank" rel="noopener">https://api.biorxiv.org/</a></p>
Annex B – Occurrence data on brominated phenols and their derivatives in food submitted to EFSA, dietary surveys per country and age group available in the EFSA Comprehensive Database considered in the exposure assessment, and the detailed results of the chronic dietary exposure assessment to 2,4,6-TBP and the contribution of different food groups to the dietary exposure
<p>This Annex contains the occurrence data submitted to EFSA, the dietary surveys per country and age group, and the detailed results of the chronic dietary exposure assessment to 2,4,6-TBP and the contribution of different food groups to the dietary exposure related to the Update of the risk assessment of brominated phenols and their derivatives in food.</p>
Data from: Detailed characterization of the UMAMITs proteins provides insight into their evolution, amino acid transport properties, and role in the plant
<p>Amino acid transporters play a critical role in distributing amino acids within the cell compartments and between the plant organs. Despite this importance, relatively few amino acid transporter genes have been characterized and their role elucidated with certainty. Two main families of proteins encode amino acid transporters in plants: the Amino Acid-Polyamine-Organocation superfamily, containing mostly importers, and the Usually Multiple Acids Move In and out Transporter family, apparently encoding exporters, totaling 63 and 44 genes in Arabidopsis, respectively. Knowledge on UMAMITs is scarce, based on six Arabidopsis genes and a handful of genes from other species. To get insight into the role of the members of this family and provide data to be used for future characterization, we studied the evolution of the UMAMITs in plants, and determined the functional properties, the structure, and the localization of the 47 Arabidopsis UMAMITs. Our analysis showed that the AtUMAMITs are essentially localized at the tonoplast or the plasma membrane, and that most of them are able to export amino acids from the cytosol, confirming a role in intra- and inter-cellular amino acid transport. As an example, this set of data was used to hypothesize the role of a few AtUMAMITs in the plant and the cell.</p>
DMTA dataset. Detailed list of individual teeth from Cova de la Guineu
<p>Detailed list of individual teeth (N = 69) examined in this study. All teeth are lower left second molars (LLM2). DMTA analysis were performed on buccal (B), occlusal (O) or both (BO) enamel surfaces. Poor quality scans with obscured microwear features that were removed from study are indicated by dashes (-).</p>
Nicosia, Bedestan. Drawing of the 1930s excavation in the north aisle (detail).
<p>Nicosia, Bedestan. Drawing of the 1930s excavation in the north aisle (detail). Department of Antiquities, Maps and Drawings Archive, 77 (Bedestan). © Department of Antiquities.</p>
Nicosia, Bedestan. Plan of the chancel and nave excavation (detail).
<p>Nicosia, Bedestan. Plan of the chancel and nave excavation (detail), dated 15.11.37 and signed by Joseph Last. Department of Antiquities, Maps and Drawings Archive, 77 (Bedestan). © Department of Antiquities.</p>
Nicosia, Bedestan. Plan of the east end showing detail of Byzantine-period apse and adjacent remains, prepared 1980-81.
<p>Nicosia, Bedestan. Plan of the east end showing detail of Byzantine-period apse and adjacent remains, prepared 1980-81. Drawing by M. Willis and Vicki Herring.</p>
Activation patterns of afferent synapses on layer 5 tufted pyramidal cells in a biologically detailed simulation
<p>The data set is based on a biologically detailed simulation of a circuit of cortical neurons. The circuit was activated by thalamo-cortical inputs every 1 s for 500 ms. We report for a number of exemplary tufted pyramidal cells in layer 5 the pattern activation of their afferent synapses.</p> <p>Specifically, we report for all afferent excitatory synapses the pairwise path distances along the dendrite / soma (note that the soma was simplified to a point for the purpose of calculating path distances, but not during the simulation), and the times of activation of each of these synapses.</p> <p>The simulation is based on the model described in <a href="https://www.biorxiv.org/content/10.1101/2022.08.11.503144v1">this preprint</a>. The model can also be found <a href="https://zenodo.org/record/6906785">here on Zenodo</a>. For more details on the simulation, contact the author.</p> <p>For more details about the format of the data, refer to the included jupyter notebook.</p>
SALTECH Module video | Detailed version
<p>In August 2022, a detailed version of the SALTECH Module video was developed. It included more technical details on each of the technologies and the partners involved in their development and implementation. After multiple revisions to refine the technical information and infographics, the video was published in November 2022.</p> <p>The production of this video included pre-production (script-writing, creating storyboards), production (designing and animating infographics, motion graphics and recording voice-over), and post-production (compiling, video and audio editing, subtitling, visual effects and rendering).</p> <p>--</p> <p>Project Ô has developed SALTECH module to remove nitrates from land-based mariculture systems. It will treat mariculture water to create the opportunity for an almost 100% closed loop of water use by removing nitrates. Some of the used water can also be treated to remove some of the salt. This allows the nutrient-rich water to be used for salt-tolerant crops. These crops can be used as food for the fish.</p>
MOBILE3TECH Module video | Detailed version
<p>In August 2022, a detailed version of the MOBILE3TECH module video was developed. It included more technical details on each of the technologies and the partners involved in their development and implementation. After multiple revisions to refine the technical information and infographics, the video was published in November 2022.</p> <p>The production of this video included pre-production (script-writing, storyboards), production (designing and animating infographics, creating motion graphics, recording voice-over), and post-production (compiling, video and audio editing, subtitling, visual effects and rendering).</p> <p>--</p> <p>Project Ô has developed MOBILE3TECH module to treat the toxic used water produced by industry MOBILE3TECH module is a cost-effective and mobile solution. It contains an advanced control unit, which can assess the toxicity of used water before it is sent to a water treatment plant. This will determine if pre-treatment is needed with MOBILE3TECH module and therefore ensure that only required treatments are carried out.</p>
ADV.ERT Module video | Detailed version
<p>In August 2022, a detailed version of the ADV.ERT module video was developed. It included more technical details on each of the technologies and the partners involved in their development and implementation. After multiple revisions to refine the technical information and infographics, the video was published in November 2022.</p> <p>The production of this video included pre-production (script-writing, storyboards), production (designing and animating infographics, creating motion graphics, recording voice-over), and post-production (compiling, video and audio editing, subtitling, visual effects and rendering).</p> <p>--</p> <p>Project Ô has developed ADV.ERT module to treat contaminated freshwater, including that from groundwater sources. It can be operated as a remote unit, independently of a water treatment plant to aid the sustainable recovery of an untapped water resource. This module has low investment and operational costs, and a low environmental impact. It can be used as part of a circular water economy by ensuring high-quality water is returned to its source after use.</p>
Detailed data for Pelobates cultripes from four locations in Western France
<p><span>These data are linked to the article "When Rensch meets Foster: Insular gigantism reduce sexual dimorphism in anurans". In this study, we tested whether Rensch's rule can apply to the change in body size observed in insular contexts. Here are reported the data linked to our specific comparison of continental and insular populations of a widespread coastal amphibian (<em>Pelobates</em> <em>cultripes</em>), in Western France. In this dataset, for each site, we reported the date of capture, individuals' distance to the ocean (in m), the size of individuals (SVL: Snout Vent Length, in mm), their mass (in g), their Scaled Mass Index (SMI), and their sex (note that, in some sites, some individuals were not sexed, and were thus classified neither as males or females).</span></p>
MESA inlists for 'Revisiting the Red Giant Branch Hosts KOI-3886 and $\iota$ Draconis. Detailed Asteroseismic Modeling and Consolidated Stellar Parameters' by Campante et al.
<p>MESA inlists used in preparation of the paper 'Revisiting the Red Giant Branch Hosts KOI-3886 and $\iota$ Draconis. Detailed Asteroseismic Modeling and Consolidated Stellar Parameters' by Campante et al. Two folders are provided in the .zip file:</p> <ul> <li>TL_Pipeline — inlists (MESA release version 12115) used to build the grid of stellar models used in Sect. 4.1 of the paper.</li> <li>JO_Pipeline — inlists (MESA release version 12778) used to build both grids of stellar models used in Sect. 4.2 of the paper.</li> </ul>
Data from: Evolution of Large Aβ16-22 Aggregates at Atomic Details and Potential of Mean force Associated to Peptide Unbinding and Fragmentation Events
<p>This data accompanies the paper entitled <em>Evolution of Large Aβ16-22 Aggregates at Atomic Details and Potential of Mean force Associated to Peptide Unbinding and Fragmentation Events</em></p> <p>The zip archive contains the results of molecular dynamics simulations of the 2 systems investigated in the paper: the first one with 139 <em>Aβ16-22 </em><em>peptides, the second one with 106 peptides.</em><em> </em>Each system has been simulated at 300 K. Starting configurations of the peptides are provided for all the systems in GRO Gromos87 format. Trajectories with the positions of the peptides every 100 ps are provided for all the systems in XTC gromacs format. For system 1 we also provide XTC trajectories for all the replicas of the REST2 simulation.</p>
Detailed Domain Model Diagram
<p>Use case specification yang sudah dikembangkan sebelumnya, bisa dilengkapilah rancangan domain model sebelumnya menjadi sebuah detailed domain model yang akan digunakan dalam pengembangan API nya nanti</p>
Detail RTI view of BK-L 9126-18398
<p>This is the detailed view of the large limestone slab bearing the rhino image, found in square Q56/33 and on level Pl. 2.2.1 of the excavation of Bad-Kösen-Lengefeld/Germany. The Reflectance Transformation Imaging technique was executed with the help of a RTI dome with a radius of 50cm. The camera used was a Nikon Z7 with a 50mm lens and 64 images were taken. The black sphere has a diameter of 2,5cm. The taking of the images and post-processing took place on 09.06.2021-10.06.2021.</p> <p>The limestone slab is in possession of the Institute of Prehistory of the University of Cologne, Germany.</p>
Wikidata Lab Details, 2017-2020
<p>This table presents information from Wikidata Labs, in Brazil, from 2017 to 2020. Information included is: Title, Date, Speaker, Education Level, Area of Instruction, Link, Organization, Support, Language, Participants, Results and Views. This is unpublished data for a scholarly article under review.</p>
Detailed information for the 2032 Saccharomyces cerevisiae genome assemblies studied
<p>Detailed information for the 2032 Saccharomyces cerevisiae genome assemblies studied</p>
Fake News Dataset with In-content Annotations and Detailed Lying Excerpts
<p>This dataset contains 95 fake news collected from two Brazilian fact-checking services (E-farsas and Boatos). We carefully annotated some excerpts of the fake news to enable deeper analyses of their falsehood. From these annotations, we divided the news into three groups: real news, totally fake news and fake news but which contain only a few lying snippets.</p><p>The annotated fragments were grouped based on four categories of falsehood: untrue, unverifiable fact, incorrectly named entity, and exaggeration. Other parts of the fake news, such as the passages around the fragments, were separated to add more information to the results of this research.</p>
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.