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624 results for “Gold”
MED-GOLD Indicators for the Olives/olive oil pilot service over Iberian Peninsula from ERA5 Reanalysis 1979-2020
<p>Indicators of interest for the Olives/olive oil sector over the Iberian Peninsula using ERA5 Reanalysis data for the period 1979 to 2020:</p> <ol> <li>SPRTX Mean maximum temperature from Apr to May</li> <li>SPR32 Number of spring heat days with Tmax above 32°C during spring months (from 21 April to 21 June)</li> <li>SU36 Number of summer heat days with Tmax above 36°C during summer months (from 21 June to 21 September)</li> <li>SU40 Number of summer heat days with Tmax above 40°C during summer months (from 21 June to 21 September)</li> <li>WINRR Total winter (Oct-May) precipitation</li> </ol> <p>Datasets computed by ENEA, in the framework of the European MED-GOLD project, funded from the European Union's Horizon 2020 Research and Innovation programme under Grant agreement No. 776467</p>
MED-GOLD Indicators for the Wine pilot service over Iberian Peninsula from ERA5 Reanalysis 1979-2020
<p>Indicators of interest for the Wine sector over the Iberian Peninsula using ERA5 Reanalysis data for the period 1979 to 2020:</p> <ol> <li>Growing Season Temperature (GST) [Temp averaged between April and October]</li> <li>Spring Rain (SprR) [ Precip cumulated between 21 apr and 21 Jun],</li> <li>Harvest Rain (HarvestR) [ Precip cumulated between 21 aug and 21 Oct]</li> <li> (SU35) -number of days with temperature higher than 35°C [for April ot October],</li> <li>Warm Spell Duration Index (WSDI) [days with at least 6 consecutive days when the daily temperature maximum exceeds its 90th percentile for April to Oct]</li> </ol> <p>Wine risk indicators, implemented specifically for the MED-GOLD Wine pilot service by ENEA and SOGRAPE VINHOS S.A.:</p> <ol> <li>Sanitary Risk Index= offgts*offsp*(percentile(SprR))+offhart*percentile(HarvestR)+(100-percentile(GST); with offhart=1.; offsp=1; offgts=1.; if percentile (SprR)>= 60; offsp=1.5; if percentile (GST)<= 40; offhart=1.5; if percentile (GST)>=70; offgts=1.5; where the percentile are here computed starting from the distribution over the 1993-2106 hindcast period to be consistent and comparable with the seasonal forecast</li> <li>Heat Risk Index = percentile(GST)+percentile(SU35_AMJJASO) + percentile(WSDI_AMJJASO),where the percentile are here computed srarting from the distribution over the 1993-2106 hindcast period to be consistent and comparable with the seasonal forecast</li> </ol> <p>Datasets computed by ENEA, in collaboration with SOGRAPE VINHOS S.A. in the framework of the European MED-GOLD project, funded from the European Union's Horizon 2020 Research and Innovation programme under Grant agreement No. 776467</p>
MED-GOLD Indicators for the Wine pilot over Douro Valley based on High Resolution Climate projections
<p>Indicators of interest for the Wine sector over the Douro Valley using high resolution climate projections.</p> <ol> <li>GDD (Growing Degree Days) - summation of daily differences between daily temperature averages and 10 for the period April-October</li> <li>GST (Growing Season Temperature) - average of daily average temperatures for the period April-October</li> <li>SprR (Spring Rain) - Precipitation accumulated between 21st April-to 21st June,</li> <li>HarvR (Harvest Rain)-Precipitation accumulated between 21 August and 21 October</li> <li>SU35 -number of days with temperature higher than 35°C for the period April-October,</li> <li>WSDI (Warm Spell Duration Index) -days with at least 6 consecutive days when the daily temperature maximum exceeds its 90th percentile for the period April-October.</li> </ol> <p>The results are based on an sub-ensemble of five RCMs from the EURO-CORDEX modelling experiment which have been statistically downscaled to 1km x1km horizontal resolution using the PTHRES gridded dataset as the reference dataset. More details can be found in Raül Marcos-Matamoros, (2018). Report on the methodology followed to implement the wine pilot services. Zenodo. https://doi.org/10.5281/zenodo.4543337</p> <p>Datasets computed by National Observatory of Athens, in collaboration with SOGRAPE VINHOS S.A. in the framework of the European MED-GOLD project, funded from the European Union's Horizon 2020 Research and Innovation programme under Grant agreement No.776467</p> <p> </p> <p> </p>
LAGOS-AND: A Large Gold Standard Dataset for MAG/OpenAlex Author Name Disambiguation
<p>We present a large gold standard dataset for author name disambiguation (AND) research (LAGOS-AND), which contains two sub-datasets, LAGOS-AND-BLOCK and LAGOS-AND-PAIRWISE. The datasets were automatically built by using the two authoritative sources, ORCID and DOI, based on the ORCID open database and an open literature database (MAG or OpenAlex).</p> <p>The currently available versions of the LAGOS-AND datasets are:</p> <ol> <li><strong>Version 1.0 (MAG+ORCID)</strong>: This is the initial version of the LAGOS-AND dataset, the evaluation results and quality control measures of this version dataset can be found in this paper <a href="https://arxiv.org/abs/2104.01821">https://arxiv.org/abs/2104.01821</a>.</li> <li><strong>Version 2.0 (OpenAlex+ORCID)</strong>: This version builds on OpenAlex instead of MAG because MAG was discontinued on 31 December 2021, and OpenAlex not only positions itself as a drop-in replacement for MAG but also keeps evolving by aggregating academic resources from other repositories. In addition, the pairwise-based sub-dataset (LAGOS-AND-PAIRWISE v2.0) improves the accuracy of labeled authorship (class label) as compared to LAGOS-AND-PAIRWISE v1.0.</li> </ol> <p>Note that there are other versions of the dataset, which we call "pre-release". We recommend users to use the normal version of the dataset. These pre-release versions were originally intended to be released as the normal versions. However, during the preparation of the research paper, we found an issue with the dataset and the reviewers also made some reasonable requests for the dataset. This led us to update the dataset. Unfortunately, the Zenodo platform does not allow updates to the same version of dataset, so we had to create new versions. The created pre-release datasets are as follows:</p> <ol> <li><strong>Version 2.0-alpha</strong>: For few samples in LAGOS-AND-PAIRWISE, the class labels are incorrect. We improve the accuracy of the class label in the normal Version 2.0 dataset by using a better random sampling approach.</li> <li><strong>Version 1.0-beta</strong>: We created this version because a sub-dataset of this version LAGOS-AND-PAIRWISE contains only ~500K author pairs, while it should contain ~1M author pairs, as described in our paper. We fixed the problem in the Version 1.0 dataset.</li> <li><strong>Version 1.0-alpha</strong>: The earliest dataset uploaded to Zenodo, corresponding to the original dataset before addressing the reviewers' comments and suggestions. In contrast, the dataset in Version 1.0 is the dataset after the reviewers' comments and suggestions have been addressed.</li> </ol>
Gollum: A Gold Standard for Large Scale\\Multi Source Knowledge Graph Matching
<p>The set of Knowledge Graphs (KGs) generated with automatic and manual approaches is constantly growing.<br> For an integrated view and usage, an alignment between these KGs is necessary on the schema as well as instance level.<br> There are already approaches which try to tackle this multi source knowledge graph matching problem,<br> but large gold standards are missing to evaluate their effectiveness and scalability.<br> In particular, most existing gold standards are fairly small and can be solved by matchers which match exactly two KGs (1:1), which are the majority of existing matching systems.<br> <br> We close this gap by presenting Gollum -- a gold standard for large-scale multi source knowledge graph matching with over 275,000 correspondences between 4,149 different KGs.<br> They originate from knowledge graphs derived by applying the DBpedia extraction framework to a large wiki farm.<br> <br> Three variations of the gold standard are made available:<br> (1) a version with all correspondences for evaluating unsupervised matching approaches, and two versions for evaluating supervised matching: (2) one where each KG is contained both in the train and test set, and (3) one where each KG is exclusively contained in the train or the test set.</p> <p><br> We plan to extend our KG track at the Ontology Alignment Evaluation Initiative (OAEI) to allow for matching systems <br> which are specifically designed to solve the multi KG matching problem.<br> As a first step towards this direction, we evaluate multi source matching approaches which reuse two-KG (1:1) matchers from the past OAEI.</p> <p> </p> <p>Due to the size of the KG files, they are hosted at the institute:</p> <p><a href="http://data.dws.informatik.uni-mannheim.de/dbkwik/gollum/40K.tar">http://data.dws.informatik.uni-mannheim.de/dbkwik/gollum/40K.tar</a> (50,3 GB)<br> <a href="http://data.dws.informatik.uni-mannheim.de/dbkwik/gollum/all.tar">http://data.dws.informatik.uni-mannheim.de/dbkwik/gollum/all.tar</a> (74,7 GB)<br> <a href="http://data.dws.informatik.uni-mannheim.de/dbkwik/gollum/gold.tar">http://data.dws.informatik.uni-mannheim.de/dbkwik/gollum/gold.tar</a> (25,3 GB)</p>
Methoxycyclization of 1,5-Enynes by Coinage Metal Catalysts: Is Gold Always Superior?
<p>Au(I) catalysts promote the intramolecular cycloisomerization of 1,<em>n</em>-enynes, as well as facilitate reactions with alcohols, characteristics that have led to their wide-spread in the synthesis of complex natural products. Literature reports of Cu and Ag species catalyzing the same or similar reactions are much less common. Here, we utilize molecular volcano plots to assess the activity of 45 coinage metal phosphine/phosphite catalysts possessing a variety of stereoelectronic properties for the methoxycyclization reaction of a prototypical 1,5-enyne. Our analysis reveals that the intrinsic properties of gold allow it to be coupled with a wide range of ligands, all of which exhibit high catalytic activity. On the other hand, the coupling of silver and copper with more traditional phosphines, such as triphenylphosphine, leads to catalysts with diminished catalytic ability. The activity of Ag and Cu species, however, can be enhanced by appending ligands with strong π-accepting character, which shifts these species closer to the volcano peak.</p>
Anisotropic Gold Nanomaterial Synthesis Using Peptide Facet Specificity and Timed Intervention: Experiment and simulation data, figures, and notebooks for recreating figures
<p><strong>/Data</strong></p> <p>Contains all experimental and simulation data used to generate figures in the manuscript. Each folder is labelled with the relevant technique: atomic force microscopy (AFM), dynamic light scattering (DLS), molecular dynamics (MD), small-angle X-ray scattering (SAXS), scanning electron microscopy (SEM), transmission electron microscopy and selected area electron diffraction (TEM-SAED), and ultraviolet-visible light spectroscopy (UV-Vis). Folders may contain subfolders from different experiments and should be unchanged for the notebooks to point to the correct path when loading data. Any file which contains SI in the filename indicates sample information, which includes sample concentration, delay associated with creating the sample (Delay4 is the relevant column name), unique identification (UID), etc.</p> <p><strong>/Data/AFM</strong></p> <p>Each filename is labelled with the number of delay associated with the sample or No Z2 Control in the case of the control sample. Each sample contains 3 files, the raw AFM data, a processed image, and an excel file with line profile measurements.</p> <p><strong>/Data/DLS</strong></p> <p>Contains exported data from Malvern Nano ZS DLS instrument.</p> <p><strong>/Data/Images</strong></p> <p>Images from the colloidal stability experiment.</p> <p><strong>/Data/MD</strong></p> <p>Molecular dynamics data and some notebooks for processing peptide and facet combinations.</p> <p><strong>/Data/SAXS</strong></p> <p>Reduced SAXS data from time-resolved study of nanoplatelet growth.</p> <p><strong>/Data/SEM</strong></p> <p>SEM images of samples prepared with and without dynamic intervention (control).</p> <p><strong>/Data/TEM_SAED</strong></p> <p>TEM images of samples prepared with and without dynamic intervention (control), and SAED image of a nanoplatelet.</p> <p><strong>/Data/UV-Vis</strong></p> <p>Spectroscopy data from different Z2 variants, the microplate based stability assay, cuvette based stability assay, and the time resolved (kinetics) measurements of particle growth as a result of manual dynamic intervention.</p> <p><strong>/Notebooks</strong></p> <p>This folder contains all of the Jupyter notebooks used to plot data and fit SAXS scattering profiles.</p> <p>See <strong>/Notebooks/environment.yml</strong> for packages necessary to execute the notebooks here and in <strong>/Synthesis_Protocol</strong>. We recommend installing this environment by using:</p> <p> </p> <p>Refer to <a href="https://github.com/SasView/sasmodels">https://github.com/SasView/sasmodels</a> and the first cell of <strong>/Notebooks/SAXS_Fitting.ipynb</strong> for specific instructions on how to complete installation of the sasmodels module (sasmodels will be installed by Pip if you correctly use the shared environment.yml file).</p> <p><strong>/Figures</strong></p> <p>Figures presented in the publication</p>
Synthesis of Tuneable Gold Nanostars: the Role of Adenosine Monophosphate
<p>The seed-mediated growth of gold nanostructures is known to be strongly dependent on the gold seed nanocrystal structure but also in the presence of different additives that may influence the morphology, and therefore the crystalline structure of the final nanoparticle. Among the different additives or capping ligands, biomolecules are an interesting family due to their potential biomedical applications such as drug delivery, bioimaging, biosensing, phototherapy, and antimicrobial activities. Here, we develop a seed-mediated strategy for synthesizing uniform Au nanostars with tuneable optical properties that involve adenosine monophosphate (AMP) as capping ligand. The experimental data reveal the key role of AMP not just providing colloidal stability and directing the reduction of the gold precursor via complexation but also mediating the anisotropic growth of the Au seeds via its selective adsorption on the different crystalline facets of Au nanoparticles. These observations agree with theoretical simulations carried out using molecular dynamics and density functional theory (DFT) calculations. Interestingly, the obtained Au nanostars showed high thermal stability as well as colloidal stability in polar organic solvents, which allowed their direct silica coating via the Stöber method. Importantly, we also explored the mimic enzymatic activity of the resulting gold nanostars and observed a superior catalytic activity compared with other gold nanoparticles reported in the literature.</p>
MEDDOPLACE Corpus: Gold Standard annotations for Medical Documents Place-related Content Extraction
<p><strong>MEDDOPLACE</strong> stands for MEDical DOcument PLAce-related Content Extraction. It is a shared task and set of resources focused on the detection, normalization (entity linking/toponym resolution) and classification of different kinds of places, as well as related types of information such as clinical departments, nationalities or patient movements, in medical documents in Spanish.</p> <p>This repository includes the corpus' <strong>train and test sets</strong> in multiple formats, as well as the <strong>SNOMED gazetteer</strong>, <strong>cross-mapping</strong> between SNOMED and MeSH and the <strong>multilingual silver standard in 8 languages </strong>(Catalan, English, French, Italian, Dutch, Portuguese, Romanian and Swedish). For more information, please check the attached README file.</p> <p>MEDDOPLACE was developed by the Barcelona Supercomputing Center's NLP for Biomedical Information Analysis and used as part of IberLEF 2023. For more information on the corpus, annotation scheme and task in general, please visit: <a href="https://temu.bsc.es/meddoplace">https://temu.bsc.es/meddoplace</a>.</p> <p> </p> <p><strong>Please cite if you use this resource:</strong></p> <p>Salvador Lima-López, Eulàlia Farré-Maduell, Antonio Miranda-Escalada, Vicent Brivá-Iglesias and Martin Krallinger. NLP applied to occupational health: MEDDOPROF shared task at IberLEF 2021 on automatic recognition, classification and normalization of professions and occupations from medical texts. In Procesamiento del Lenguaje Natural, 67. 2021.</p> <pre><code>@article{meddoplace, title={MEDDOPLACE Shared Task overview: recognition, normalization and classification of locations and patient movement in clinical texts}, author={Lima-López, Salvador and Farré-Maduell, Eulàlia and Brivá-Iglesias, Vicent and Gasco-Sanchez, Luis and Krallinger, Martin}, journal = {Procesamiento del Lenguaje Natural}, volume = {71}, year={2023}, issn = {1135-5948},<br>DOI = {10.26342/2023-71-23}, url = {http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6561/3961}, pages = {301--311} }</code></pre> <p><strong>Related Links:</strong></p> <p>- MEDDOPLACE website: <a href="https://temu.bsc.es/meddoplace">https://temu.bsc.es/meddoplace</a></p> <p>- MEDDOPLACE overview paper: <a href="http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6561">http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6561</a></p> <p>- Annotation Guidelines (Spanish): <a href="https://doi.org/10.5281/zenodo.7775234">https://doi.org/10.5281/zenodo.7775234</a></p> <p>- Annotation Guidelines (English): <a href="https://doi.org/10.5281/zenodo.7928145">https://doi.org/10.5281/zenodo.7928145</a></p> <p><strong>License</strong></p> <p>This work is licensed under a <a href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.</p> <p><strong>Contact</strong></p> <p>If you have any questions or suggestions, please contact us at:</p> <p>- Salvador Lima-López (<salvador [dot] limalopez [at] gmail [dot] com>)<br>- Martin Krallinger (<krallinger [dot] martin [at] gmail [dot] com>)</p>
XEN-45 Gel Stent Versus Trabeculectomy in Glaucoma: Gold-Standard Pathway Study (GPS)
ClinicalTrials.gov study NCT03654885. IPD Sharing: YES. Countries: 1. Publications: 1.
Twisted epitaxy of gold nanodiscs grown between twisted substrate layers of molybdenum disulfide
Open the record for dataset details and reuse information.
Data of correlation of COVID-19 cases/deaths and the Gold price
<p>The data was automatically computed by the tool https://doi.org/10.5281/zenodo.3741812 and shows the correlation between COVID-19 cases/deaths in a given time interval and the gold price in the same interval.</p> <p>The folder input_data contains the raw data that was used to produce this dataset.<br> The file TOOL_VERSION contains the version of the above reference tool that was used.</p>
The Olympic gold medalists and Instagram - A longitudinal study on user characteristics
<p>This dataset includes Instagram user characteristics of those Olympic athletes who won gold medals in the individual events of Rio2016. The name of all these gold medalists of individual events are in the dataset (226 athletes), however only 144 athletes (83 men and 61 women) had a publicly available Instagram account in all of the observations during the 4 months period of data gathering. The first round of data gathering (first observation, i.e. OlympicAthletesData_1) took place 9-Aug-2019 to 12-Aug-2019, the second round of data gathering (second observation, i.e. OlympicAthletesData_2) took place 9-Sep-2019 to 12-Sep-2019, the third round of data gathering (third observation, i.e. OlympicAthletesData_3) took place 9-Oct-2019 to 12-Oct-2019, the fourth round of data gathering (fourth observation, i.e. OlympicAthletesData_4) took place 9-Nov-2019 to 12-Nov-2019. The data gathered for each user (in each observation) consists of:</p> <p>1- Name of the individual event </p> <p>2- Country</p> <p>3- Name</p> <p>4- Gender</p> <p>5- Instagram ID</p> <p>6- Number of Posts</p> <p>7- Number of followers</p> <p>8- Number of followings</p> <p>9- Maximum Number of likes (in the last 10 photo posts)</p> <p>10- Number of comments for the post with Maximum Number of likes (in the last 10 photo posts)</p> <p>11- Number of self-presenting posts in the last 10 photo posts (those posts in which the athlete is present)</p> <p>12- Number of pure self-presenting posts in the last 10 photo posts (those posts in which the athlete is the only person who is present)</p> <p>13- Age</p> <p>14- Date of data crawling</p>
¿Por qué la TCC es el actual gold standar en Psicoterapia?
<p><strong>Video basado en el artículo de :</strong></p> <p>David, D., Cristea, I., & Hofmann, S. G. (2018). Why Cognitive Behavioral Therapy Is the Current Gold Standard of Psychotherapy. Frontiers in Psychiatry, 9(January), 6–8. <a href="https://doi.org/10.3389/fpsyt.2018.00004">https://doi.org/10.3389/fpsyt.2018.00004</a></p>
Brooch - large ruby emeralds gold
A large brooch, suitable for use as the base of a royal medal, or for a wealthy duchess to wear to a ball. Historical and for fantasy items, perhaps Versailles or Regency England. No rear fastener. The intent is to use a vertex to pin it to something else. Source: Objaverse 1.0 / Sketchfab
Kultaraha, Gulden, Gold Coin KM42077:1
Tätä huonolaatuista guldenia kutsutaan Arnoldsguldeniksi herttua Arnold van Egmondin mukaan. Raha on lyöty Gelderlandin herttuakunnassa, joka nykyään on provinssi Alankomaissa, 1423–1472. Löytöpaikka Rauma. Denna underhaltiga gulden kallas för Arnoldsgulden efter hertig Arnold van Egmond. Myntet är präglat i hertigdömet Gelderland, nuförtiden en provins i Nederländerna, 1423–1472. Fyndplats Rauma. This substandard gulden is called Arnoldsgulden after duke Arnold van Egmond. The coin is minted in the duchy of Guelders, nowadays a province of the Netherlands, 1423–1472. Arkeologiset kokoelmat, Museovirasto Arkeologiska samlingar, Museiverket Archaeological Collections, Finnish Heritage Agency Created in RealityCapture by Capturing Reality from 248 images in 00h:42m:37s. Source: Objaverse 1.0 / Sketchfab
Light Gold Ring
If you want to reduce the dimensions of the model, I will be happy to help you STL file has been fixed and ready for the print -STL File has been checked Software -No any bugs during printing The 3dm file is not suitable for printing and I just provided it for you to make changes. And I can help you if needed, but the rest of the files are ready to print If you need to make little changes to this model I'll do it for you no extra charge. If you have any questions I will be happy to answer them -If you are satisfied with the model, thank you for rating it[LIST] Source: Objaverse 1.0 / Sketchfab
Gold Revolver low poly
Is a 1896 Wesson revolver that has a gold/black baroque style, low poly model. It has references for the hateful eight, one of my favorites film of westerns. And is ready for use in games as an asset, like unity. Source: Objaverse 1.0 / Sketchfab
Gold Key
Issa Key. Torus extrusion, simple and easy. Not a very complicated design. Source: Objaverse 1.0 / Sketchfab
3D Gold Coin - Jb
Low poly model for PC or mobile games with hand painted texture. The model includes: 2 textures 1024 px and 2048 px Albedo+normal map+Metallic (PBR) PolyCount 1 Coin: -160 polyface -288 Tris 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.