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6,782 results for “project”
Data_set_C2SMART_Project
<p>This dataset can be used to train and test the algorithms proposed in the project. </p>
Data for: Open COVID Trials (OCT) Project
<p><span>The COVID-19 pandemic has brought substantial attention to the systems used to communicate biomedical research. In particular, the need to rapidly and credibly communicate research findings has led many stakeholders to encourage researchers to adopt open science practices such as posting preprints and sharing data. To examine the degree to which this has led to the actual adoption of such practices, we examined the "openness" of a sample of 539 published papers describing the results of randomized controlled trials testing interventions to prevent or treat COVID-19. The majority (56%) of the papers in this sample were free to read at the time of our investigation and 23.56% were preceded by preprints. However, there is no guarantee that the papers without an open license will be available without a subscription in the future, and only 49.61% of the preprints we identified were linked to the subsequent peer-reviewed version. Of the 331 papers in our sample with statements identifying if (and how) related datasets were available, only a paucity indicated that data was available in a repository that facilitates rapid verification and reuse. Our results demonstrate that, while progress has been made, there is still a significant mismatch between aspiration and actual practice in the adoption of open science in an important area of the COVID-19 literature.</span></p>
Data Management Plan: FNS Project "Le scénario chez Alain Tanner : discours et pratiques. Une approche génétique du récit filmique et des représentations de genre"
<p>Le présent projet entend investiguer, sur la base principalement des archives personnelles d’Alain Tanner déposées à la Cinémathèque suisse (CS), la genèse des dix-neuf longs métrages de fiction réalisés par le cinéaste suisse romand entre 1969 (<em>Charles mort ou vif</em>) et 2004 (<em>Paul s’en va</em>) en optant pour une méthodologie relevant de l’étude génétique des textes scénaristiques. </p> <p>Parallèlement à l’étude des archives de production qui nous renseignent sur les pratiques d’écriture, nous envisageons le discours tenu à propos du scénario par Tanner, l’un des cinéastes suisses à avoir bénéficié d’une importante reconnaissance internationale et exercé un impact considérable sur la manière dont le cinéma a été conçu dans son pays. Nous postulons que le « scénario » se situe au cœur de l’œuvre du cinéaste dans la mesure où ce dernier a constamment entretenu un rapport ambivalent à ce stade de la fabrication de ses films : alors qu’il n’a eu de cesse de relativiser le rôle de l’écriture au profit de la mise en scène, il a par ailleurs constamment problématisé, dans ses prises de position publiques et ses nombreux textes de réflexion sur sa pratique, la question de l’écriture. La constitution d’un historique de production de l’ensemble des longs métrages que Tanner a réalisés, (co)produits et (co)écrits, ainsi qu’une étude comparative des états et variantes de scénario entre eux et avec les différents films tels qu’ils ont été exploités sont ainsi corrélés à l’ensemble des discours sur le cinéma qui ont été émis par Tanner à travers divers canaux médiatiques, ainsi qu’avec la réception critique de ses films qui s’est fait l’écho de son discours et a commenté son travail. L’engagement institutionnel de Tanner dans les années 1960 ainsi que sa visibilité médiatique tout au long de sa carrière permettront d’offrir un éclairage plus large sur l’histoire du cinéma suisse de fiction. </p> <p>La genèse des scénarios de Tanner sera en particulier envisagée dans ce que leur étude apporte sur un plan méthodologique à la génétique des textes, et dans la manière dont ceux-ci s’appuient sur du matériel antérieur (romans pour ses deux adaptations, journaux intimes, faits divers, photographies, cartes géographiques, etc.), programment différents aspects du film à venir (dialogues, mouvement d’appareil, montage, jeu d’acteur, bande-sons, etc.) et résultent d’une écriture collaborative. A ce titre, trois personnalités ayant travaillé successivement comme coscénariste sur des films de Tanner et stimulé sa réflexion sur le cinéma font l’objet d’une étude : le critique d’art John Berger, l’actrice et chanteuse Myriam Mézières et enfin le romancier et figure du monde des lettres et des médias Bernard Comment. Les modalités de la création à quatre mains sont discutées dans une perspective double : (1) une étude narratologique (la construction du récit et des personnages, le processus de l’adaptation, etc.) ; (2) une étude des représentations genrées. Sur ces deux plans, nous avons l’ambition de montrer, en dépit d’ambivalences diverses, combien le cinéma de Tanner se distingue de la production dominante et même du cinéma d’auteur francophone post-Nouvelle Vague par une originalité certaine qui demeure à ce jour trop peu discutée dans l’histoire du cinéma (suisse). L’étude de ce corpus se prête à affiner l’approche génétique en l’adaptant à l’hétérogénéité et au non-conformisme des pratiques de Tanner. </p> <p> </p> <p> </p>
Gas, erosion, runoff and soil data and metadata derived from Diverfarming project
<p>Gas, erosion, runoff and soil data and metadata of the different cases studies and long terms from WP5 "Environmental impact and delivery of ecosystem services by crop diversification", derived from H2020 Diverfarming project. This workpackage has been designed to provide sound and robust scientific understanding of the benefits and drawbacks of the tailored diversified cropping systems for improvement of the environmental quality and delivery of ecosystem services in each pedoclimatic region. http://www.diverfarming.eu.</p>
Data and metadata of soil microbial community structure, enzyme activities, functional genes and earthworms derived from H2020 Diverfarming project
<p>Soil data and metadata of soil microbial community structure, enzyme activities (dehydrogenase, β-glucosidase, leucine-aminopeptidase, alkaline phosphatase and arylsusfatase activities), N functional genes and earthworms from the different cases studies and long terms from WP4 "Impact of crop diversification on biodiversity", derived from H2020 Diverfarming project. The main objective of workpackage is to provide a scientific understanding of the link between diversified cropping systems, above- and belowground biodiversity, and the resulting ecosystem services provided by soil microorganisms, soil invertebrates and vegetation in agro-ecosystems. Soil organisms contribute to all biogeochemical cycles, Soil organic matter mineralization and stabilization, shape soil structure and have associations with plant species promoting growth and development. http://www.diverfarming.eu.</p>
Data and metadata of crop yield and quality derived from H2020 Diverfarming project
<p>Data and metadata of crop yield and quality from different cases studies and long terms from WP3 "Crop production and quality", derived from H2020 Diverfarming project. This workpackage provides robust and sound data about how diversified cropping systems with low-input practices and efficient use of resources have positive effects on crop production and quality, and so, farm yields and economic revenues for farmers is increased. This can increase trading productivity with high quality outputs, so improving the competitiveness of European agriculture in the global market. http://www.diverfarming.eu.</p>
Proccessed Data for the Pipelines of the Project "Multiomics and quantitative modelling disentangle diet, host, and microbiota contributions to the host metabolome"
<p><strong>Proccessed and Input Data for the Pipelines of the Project "Multiomics and quantitative modelling disentangle diet, host, and microbiota contributions to the host metabolome"</strong></p> <p>-----------------------------------------------------------------------------------------------------</p> <p>Contents:</p> <p>-----------------------------------------------------------------------------------------------------</p> <p>Folder /ProcessedData/metabolomics/ contains processed metabolomics data from the project:</p> <p>/metabolomics/metabolites_allions_combined_norm_intensity.csv - file containing normalized intensities of ions detected across tissues with six measurement methods.<br> /metabolomics/metabolites_allions_combined_formulas_with_metabolite_filters_spatial100clusters_with_mean.csv - file containing metabolite attribution to spatial clusters and mean intensity values across tissues and conditions.</p> <p>Other files are described in README_ProcessedData.md.</p> <p>-----------------------------------------------------------------------------------------------------</p> <p>Folder /ProcessedData/sequencing/ contains raw and normalized counts of metagenomics and metatransriptomics data mapped to bacterial genomes.</p> <p>Folder /ProccessedData/util/ contains files used for data preprocessing and attribution to chemical classes and pathways.</p> <p>Folder /ProcessedData/example_output/ contains example output of the pipelines:</p> <p>/output/model_results_SMOOTH_raw_2LIcoefHost1LIcoefbact_allions.csv - file containing estimated model parameters (intestinal flux and metabolic flux values) for the forward problem for metabolomics measurements in the GIT.<br> /output/model_results_SMOOTH_normbyabsmax_reciprocal_problem_allions.csv - file containing estimated model parameters for the reverse problem (metabolite intensities) for the parameters estimated with the forward problem.<br> /output/model_results_SMOOTH_normbyabsmax_2LIcoefHost1LIcoefbact_allions.csv - file containing estimated model parameters (intestinal flux and metabolic flux values) for the forward problem for metabolomics measurements in the GIT, normalized by absolute maximum value.<br> /output/model_results_SMOOTH_normbyabsmax_ONLYMETCOEF_2LIcoefHost1LIcoefbact_allions.csv - file containing estimated model parameters (only metabolic flux values) for the forward problem for metabolomics measurements in the GIT, normalized by absolute maximum value.<br> /output/table_hierarchical_clustering_groups.csv - file containing attribution of the annotated metabolites to groups according to hierarchical clustering of the normalized model parameters.<br> /output/cgo_clustergrams_of_model_coefficients.mat - matlab object containing clustergram of the normalized model parameters and manually derived sub-clustergrams corresponding to different largest parameter values.</p> <p>Description of other files is provided in the file README_ProcessedData.md.</p> <p>-----------------------------------------------------------------------------------------------------</p> <p>Folder /InputData/ contains HMDB and KEGG tables used for metabolite annotations and chemical group analysis.</p> <p>Folder InputData_KEGGreaction_path contains matlab files with metabolite-metabolite paths calculated from KEGG reaction-pair information (Each matrix contains a subset of paths). These files are used by the script workflow_extract_keggECpathes_for_SPpairs_final.m.</p> <p>Folder InputData_metabolomics_data contains raw metabolomics data from six methods (three LC columns: C08, C18 and HILIC, and positive and negative acquisition modes) and file tissue_weights.txt with tissue weight information used for normalization.</p> <p>Folder InputData_sequencing_data contains folders ballgown_DNA and ballgown_RNA with results of metagenomic and metatranscriptomic data analysis (raw counts, GetMM normalized counts, EdgeR and DeSeq2 analysis). </p> <p>Description of folders is provided in the file readme_InputData.md.</p> <p>-----------------------------------------------------------------------------------------------------</p>
Species occurrence data for Colorado restoration project (derived dataset from GBIF)
<p>GBIF species occurrence data downloaded for 53 species included a restoration project. The data have been cleaned to remove incorrect and imprecise coordinates, as well as records older than 1950. </p>
GEOS-Chem modeled gas and aerosol concentrations at five sites from FRIEND project (2020-21 winter)
<p>The files contain GEOS-Chem modeled hourly concentrations of gases (NO, NO2, CO, NH3, O3, SO2) and aerosols (NH4+, SO42-, NO3-, OC, BC) at the following sites. Model grid is chosen by the closest distance from the sites and the grid center. </p> <p>Ulaanbaatar, Mongolia ('lon':106.91, 'lat':47.92) </p> <p>Beijing, China ('lon':116.31, 'lat':39.99) </p> <p>Seosan, South Korea ('lon':126.49, 'lat':36.78) </p> <p>Seoul, South Korea ('lon':126.93, 'lat':37.61) </p> <p>Noto, Japan ('lon':137.36, 'lat':37.45) </p> <p>Details can be found from the paper submitted. (will be updated later once accepted)</p> <p> </p>
A thematic synthesis on the adoption of regression testing techniques in Android projects
<p>In software testing, employing regression techniques is a viable strategy to deal with the complexity and the constant evolution of applications since its primary goal is to ensure that changes made between versions do not change the system’s behavior. Although the literature has dedicated efforts to developing new regression testing techniques suitable for the Android mobile platform, studies are limited concerning demonstrating which techniques software developers employ in practice. This study aims to report on a thematic synthesis of adopting regression testing techniques in Android projects. The research encompassed four stages: (i) conducting a structured literature review on regression testing techniques for the Android platform, (ii) carrying out an expert survey, (iii) conducting interviews with industry professionals, and (iv) building a thematic synthesis. The thematic synthesis presented a model from analyzing the results obtained in this multimethod study on regression testing techniques. With such a stud, we could present empirical evidence on how professionals perform regression testing in Android projects, identify the commonly used regression testing techniques, and leverage the requirements for automating Android applications through regression testing.</p>
Fine-scale subpopulation detection via SNP-based unsupervised method: A case study on the 1000 Genomes Project Resources
<p>Here are the supplementary files to the paper "Fine-scale subpopulation detection via SNP-based unsupervised method:<br> A case study on the 1000 Genomes Project Resources".<br> <br> The repository is organized as:</p> <ol> <li><strong>Supplementary information</strong>: the additional detailed information for the experiments in the paper <ul> <li>Supplementary_information_IPCAPS_Chaichoompu_v1.pdf</li> </ul> </li> <li><strong>Real-life dataset</strong>: the 1000 genome dataset, which is referred to in the paper and is filtered with the parameters explained in the paper. Reference: https://www.internationalgenome.org/ <ul> <li>1000genomes_with_filtering.zip</li> </ul> </li> </ol>
Ground observation of daily gases and aerosols from FRIEND project (2020-21 winter)
<p>The files contain hourly average concentration of gases (SO2, NO2, O3, CO, NH3) and aerosols (NH4+, SO42-, NO3-, OC, EC) measured at the following sites. </p> <p>Ulaanbaatar, Mongolia ('lon':106.91, 'lat':47.92) </p> <p>Beijing, China ('lon':116.31, 'lat':39.99) </p> <p>Seosan, South Korea ('lon':126.49, 'lat':36.78) </p> <p>Seoul, South Korea ('lon':126.93, 'lat':37.61) </p> <p>Noto, Japan ('lon':137.36, 'lat':37.45) </p> <p>Details can be found from the paper submitted. (will be updated later once accepted)</p>
Genomic Prediction for the Germplasm Enhancement of Maize Project
<p>The Germplasm Enhancement of Maize (GEM) project was initiated in 1993 as a cooperative effort of public and private sector maize breeders to enhance the genetic diversity of the U.S. maize crop. The GEM project selects progeny lines with high topcross yield potential from crosses between elite temperate lines and exotic parents. The GEM project has released hundreds of useful breeding lines based on phenotypic selection within selfing generations and multi-environment yield evaluations of GEM line topcrosses to elite adapted testers. Developing genomic selection (GS) models for the GEM project may contribute to increases in the rate of genetic gain. Here we evaluated the prediction ability of GS models trained on six years of topcross evaluations from the two GEM programs in Raleigh, NC and Ames, IA, documenting prediction abilities ranging from 0.36 to 0.75 for grain yield and from 0.78 to 0.96 for grain moisture when models were cross-validated within program and heterotic group. Predicted genetic gain from genomic selection ranged from 0.95 to 2.58 times the gain from phenotypic selection. Prediction ability across program and heterotic group was generally poorer than within groups. Based on observed genomic relationships between GEM breeding lines and their tropical ancestors, GS for either yield or moisture would reduce recovery of exotic germplasm only slightly. Using GS models trained within-program, the GEM programs should be able to more effectively deliver on its mission to broaden the genetic base of U.S. germplasm. </p>
EXPLORE Machine Learning Lunar Data Challenges 2022 - QGIS project
<p>This dataset contains the the EXPLORE Machine Learning Data Challenge 2022 QGIS project.</p> <p>The project embed the following Archytas Dome layers:</p> <p><strong>Raster</strong></p> <ul> <li>Narrow Angle Camera (NAC)</li> <li>DEM derived from NAC</li> <li>Slope computer on DEM</li> </ul> <p><strong>Vectorial</strong></p> <ul> <li>POIs - Points Of Interest to be used in STEP 3 </li> </ul> <p> </p> <p> </p> <p> </p> <p>More information at: https://exploredatachallenges.space/</p> <p> </p> <p>Images were processed from NASA PDS raw data using USGS ISIS and NASA ASP tools.</p>
Project files provided as supporting information to the manuscript "Fast, accurate, and system-specific variable-resolution modelling of proteins"
<p>Project files provided as supporting information to the manuscript "Fast, accurate, and system-specific variable-resolution modelling of proteins".</p> <p>The dataset contains the following files:</p> <p>- RMSD_adk: files containing the root-mean-square deviation computed on the C-alpha atoms/beads in the atomistic and CANVAS simulations of adk (Figure 6).</p> <p>- RMSF_adk: files containing the root-mean-square fluctuations of the C-alpha atoms/beads in the atomistic and CANVAS simulations of adk (Figure 6).</p> <p>- APBS_adk: PQR file of the system and DX file of the surface potential, for both the atomistic and CANVAS systems (Figure 7).</p> <p>- SASA_antibody: files containing the per-residue solvent accessible surface area of the atomistic region of the ake protein, in the atomistic and CANVAS simulations (Figure 8).</p> <p>- RMSF_antibody: files containing the root-mean-square fluctuations of the C-alpha atoms/beads in the atomistic and CANVAS simulations of antibody (Figure 9).</p> <p>- APBS_antibody: PQR file of the system and DX file of the surface potential, for both the atomistic and CANVAS systems (Figure 10).</p> <p>- SASA_antibody: files containing the per-residue solvent accessible surface area of the hinge region of the antibody for each conformational cluster, in the atomistic and CANVAS simulations (Figure 11).</p> <p>- RMSIP_antibody: RMSIP between the essential subspaces computed from the atomistic and CANVAS simulations (Figure S3).</p> <p>- rgyr_antibody: files containing the radii of gyration of the antibody for each conformational cluster, in the atomistic and CANVAS simulations (Figure S4).</p> <p>- ake_AA.mp4: video of the all-atom simulation of adenylate kinase</p> <p>- ake_canvas.mp4: video of the canvas simulation of adenylate kinase</p>
DeepProjection: Specific and robust projection of curved 2D tissue sheets from 3D microscopy using deep learning
<p>The efficient extraction of image data from curved tissue sheets embedded in volumetric imaging data remains a serious and unsolved problem in quantitative studies of embryogenesis. Here we present DeepProjection (DP), a trainable projection algorithm based on deep learning. This algorithm is trained on user-generated training data to locally classify the 3D stack content and rapidly and robustly predict binary masks containing the target content, e.g., tissue boundaries, while masking highly fluorescent out-of-plane artifacts. A projection of the masked 3D stack then yields background-free 2D images with undistorted fluorescence intensity values. The binary masks can further be applied to other fluorescent channels or to extract the local tissue curvature. DP is designed as a first processing step than can be followed, for example, by segmentation to track cell fate. We apply DP to follow the dynamic movements of 2D-tissue sheets during dorsal closure in Drosophila embryos and of the periderm layer in the elongating Danio embryo. DeepProjection is available as fully documented Python package.</p>
Pot rim with unusual projection
Grey to black incised and impressed pot rim with lug on the interior lip. Appears to have been an impressive vessel in its day. Coles Creek Period, c. 1000 CE - 1250 CE. 39mm x 37mm, 16.7g Found in Tensas Parish, Louisiana, 2021 MPQ_01 Source: Objaverse 1.0 / Sketchfab
Ouse and Derwent Project 2018 - Trench 3
Trench 3 at North Duffield is placed over the eastern side of a huge trapezoidal enclosure. The ditches visible in this trench continue south, then turn west to meet those in [Trench 2](https://sketchfab.com/models/33b740fe1287480aa204f1421bae3b01). The [Ouse and Derwent Project](https://www.facebook.com/IAOuseandDerwent/) is a three year community project examining the Iron Age landscape in the Vale of York. It is funded by a grant from the Heritage Lottery Fund. Source: Objaverse 1.0 / Sketchfab
Font Stone- Lost city of Trellech project
this is the second Font stone from the lost city of Trellech excavation it fits with the previous font stone model. here is the projects website if you'd like more details and to participate http://www.lostcityoftrellech.org/ and their facebook page https://www.facebook.com/lostcityoftrellech/ Source: Objaverse 1.0 / Sketchfab
Sculpture of Hercules for Metateca Project
Phogrammetric model of Ercole Pitti from the courtyard of Palazzo Pitti, Florence, Italy . 3D models realized for Metateca Project. https://www.youtube.com/watch?v=2-wgzQlbD6A For more info http://www.metateca.it/ https://www.academia.edu/37421551/Dallo_scavo_allesperienza_immersiva_Il_progetto_Metateca_nellarea_archeologica_di_Aquinum Source: Objaverse 1.0 / Sketchfab
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.