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5,145 results for “CO₂”
Data from: Importance of Site Diversity and Connectivity in Electrochemical CO reduction on Cu
<p><strong>Microkinetic Modeling</strong></p><ul><li>Contains raw ipynb files to generate graphs used in this work</li></ul><p><strong>EC-Lab Potentiosat Data</strong></p><ul><li>Contains potentiostat I-V data, organized in folder by date of acquisition</li></ul><p><strong>Mass flow and product quantification</strong></p><ul><li>Mass flow measurements, gas chromatography, and nuclear magnetic resonance spectroscopy</li></ul><p><strong>Overview of all experiments</strong></p><ul><li>Spreadsheets listing all experiments</li></ul><p><strong>Cell Design</strong></p><ul><li>Files for the 1 cm2 gas diffusion electrodes used in this work.</li></ul>
Infographic : The WaterProof Project – Converting CO₂ into Formic Acid Through ElectroChemistry
<p><strong>The WaterProof Project</strong></p><p>The WaterProof project aims at developing an electrochemical process that converts CO₂ emission captured from consumer waste incineration and wastewater treatment facilities into formic acid to be used in valuable green consumer products such as cleaning detergents and the tanning of fish leather apparel. Additional products of the electrochemical process are peroxides that can be applied to remove pharmaceuticals and pesticides from wastewater. Furthermore, formic acid is used for the generation of acidic deep eutectic solvents (ADES), that can be applied to recover precious metals from wastewater sludge and incineration ashes. As the electrochemical process uses renewable energy, it contributes to a clean water cycle with zero-emission.</p><p>WaterProof enables the closing of the waste(water) carbon loop and the shift from fossil to renewable carbon sources. It hereby supports the transition towards a climate-neutral Europe and an effective and truly circular economy.</p><p><a href="https://waterproof-project.eu">https://waterproof-project.eu</a></p>
3-CO Infographic – Strengthening Bio-based Systems Through Concise Consumer Communication
<p><strong>The 3-CO Project</strong></p><p>Our everyday choices matter!<br>You as a consumer play an essential role in the successful transition of Europe`s economy. By making conscious purchasing decisions you can support the switch from fossil to bio-based feedstock and help transform the EU economy from a linear (i.e. production to waste) to a circular one (i.e. a production-waste-production circle).</p><p>By changing your buying behaviour, you can put pressure on companies to foster sustainable solutions. By choosing bio-based options instead of fossil-based products, you can help bio-based industries to become more competitive and unlock the bioeconomy's full potential.</p><p>To make smart, informed and conscious buying decisions, we often rely on labels and certifications schemes. But the jungle of currently available sustainability and ecolabels makes their interpretation difficult. The 3-CO project will support consumers' purchasing decisions towards more sustainable bio-based solutions by developing actionable guidelines for label designs that reflect the needs of consumers and other stakeholders.</p><p><a href="https://3co-project.eu">https://3co-project.eu</a></p>
[Data] Real-time monitoring and quality assurance for laser-based directed energy deposition: integrating co-axial imaging and self-supervised deep learning framework
<p>The experimental setup utilized a co-axial color Charged Couple Device (CCD) camera, integrated into the laser deposition head. This camera operates at a frame rate of 30 frames per second and captures the morphology of the process area. The captured images consist of three RGB channels with a 640 × 480 pixels resolution. To enable the camera to capture the radiation from the process zone, a beam splitter is installed on Precitec's laser applicator head. An optical notch filter within the 650–675 nm range also blocks the laser wavelengths.</p> <p>The dataset consists of four categories that covers the process map of DED process [.rar file].<br>The dataset consist of around 48,000 images that are labelled into 4 categories [P1-P2-P3-P4]. The images correspond to DED process zone captured co-axially<br>The categories are function of linear laser energy deposited. The folder is already split into Train and Test.</p>
Analysis of Metabolomics Data to Assess Interactions in Microalgal Co-culture of Skeletonema marinoi and Prymnesium parvum
<p>This dataset refers to the metabolomics results from Metabolome Annotation QWorkflow on a co-culture of two microalgae: <em>Skeletonema marinoi </em>and <em>Prymnesium parvum</em>. The metabolomics data was acquired from endometabolome and exometabolome in both positive and negative MS modes. These will be referred as conditions. The files ms2_spectra_condition.mzML files have the MS2 combined from different MS2 files found on Zenodo with DOI: 10.5281/zenodo.10143233. The MS1 files are available on Zenodo as well with the DOI: 10.5281/zenodo.10143127</p> <p>The first section is about the results from the MS1 analysis. For the code used to generate these files, please refer to the code: <a href="https://github.com/zmahnoor14/MAW/tree/main/co-culture">https://github.com/zmahnoor14/MAW/tree/main/co-culture</a> </p> <ol> <li>Feature_info_condition.csv refers to the list of features with IDS, m/z, rt and intensity values. <ul> <li>The feature list is used to link the MS1 features to the features extracted from MS2 spectra.</li> </ul> </li> <li>Feature_list_condition.csv refers to the list of mzML origin file (samples) and the intensity of the features in those samples.</li> </ol> <p>The second section relates to the MS2 results. For source code please refer to: <a href="https://github.com/zmahnoor14/MAW/tree/main/Docker">https://github.com/zmahnoor14/MAW/tree/main/Docker</a></p> <ol> <li>SL_MAW_Coculture.csv contains list of metabolic features that were annotated and found to be present in the suspect list of either of the two organisms or both. The suspect lists for Skeletonema marinoi can be found at 10.5281/zenodo.5772755, and for Prymnesium parvum can be found at 10.5281/zenodo.7864506. </li> <li>unique_MAW_SMILES_coculture.csv file contains all information on unique SMILES.</li> <li>onlyDAF.csv contains differentially abundant features in either of the conditions: <em>S. marinoi </em>co-culture, <em>S. marinoi</em> mono-culture and similar conditions for <em>P. parvum</em>.</li> <li>condition_mergedResults-with-one-Candidates_sig_feat_for_only_inclusion.csv files contain all MS2 features and annotations together with the information on whether these features were found in the inclusion list (List provided for generating MS2 spectra in orbitrap), and whether these features were differential.</li> </ol>
Tandem Mass Spectrometry Data (LCMS-2) from Microalgal Co-culture of Skeletonema marinoi and Prymnesium parvum
<p>The mzML files in this dataset are the Liquid Chromatography Tandem Mass Spectrometry (LCMS-2) data files, derived from the RAW MS-2 files using GNPS file convertor. These files contain unprocessed features fragmented features from the MS-1 data files available as <10.5281/zenodo.10143127> acquired from the monocultures (single species: <em>Skeletonema marinoi</em> and <em>Prymnesium parvum</em> separately) and co-culture conditions of (<em>Skeletonema marinoi</em> and <em>Prymnesium parvum</em>). These files are used for structure annotations. </p> <p>The results of metabolomics annotation are available on Zenodo with DOI: 10.5281/zenodo.10143554</p>
Liquid Chromatography Mass Spectrometry Data (LCMS-1) from Microalgal Co-culture of Skeletonema marinoi and Prymnesium parvum
<p>The mzML files in this dataset are the Liquid Chromatography Mass Spectrometry Data (LCMS-1) data files, derived from the RAW MS files using GNPS file convertor. These files contain unprocessed features acquired from the monocultures (single species: <em>Skeletonema marinoi</em> and <em>Prymnesium parvum</em> separately) and co-culture conditions of (<em>Skeletonema marinoi</em> and <em>Prymnesium parvum</em>). The microalgae were grown in co-culture chambers, so the naming convention A, and B refer to the two sides of the chamber. So, 1a and 1b are <em>S. marinoi</em> monocultures, but 11a and 11b refer to s. marinoi and <em>P. parvum</em> respectively.</p> <p>The results of metabolomics data analysis are available on Zenodo with DOI: 10.5281/zenodo.10143554</p>
Transcriptome Analysis from a co-culture of Skeletonema marinoi and Prymnesium parvum
<p>This Zenodo entry refers to a study using metabolomics and transcriptomic data analysis to analyse chemical interactions between two microalgae: <em>Skeletonema marinoi</em> and <em>Prymnesium parvum</em></p> <p>p_parvum_Eukaryota_augustus_gene_prediction.faa file contains the predicted protein sequences from the transcriptome of <em>Prymnesium parvum</em> using Augustus. This list is generated from a non-restrictive Busco Analysis.</p> <p>s_costatum_Stramenopiles_augustus_gene_prediction.faa file contains the predicted protein sequences from the transcriptome of <em>Skeletonema marinoi </em>using Augustus. This list is generated from a restrictive Busco Analysis.</p> <p>The files p_parvum_deseq2_results_all.csv and s_marinoi_deseq2_results_all.csv contain differential gene expression analysis, while p_parvum_deseq2_result_sorted_regulated_with_proteins.csv and s_marinoi_deseq2_result_sorted_regulated_with_proteins.csv contain only upregulated protein sequences in co-culture conditions.</p> <p>The genes_read.R script is used to generate the p_parvum_deseq2_result_sorted_regulated_with_proteins.csv and s_marinoi_deseq2_result_sorted_regulated_with_proteins.csv. The code for analysis from RAW reads to differential gene expression analysis is available on: <a href="https://github.com/Bioinformatics-Core-Facility-Jena/SE20220705_97">https://github.com/Bioinformatics-Core-Facility-Jena/SE20220705_97</a>. The RAW files are available on BioProject: PRJNA1006530</p> <p> </p> <p> </p>
19th Century Headstone Kilbarron, Co. Tipperary
Headstone of Thomas Costeloe who died June 22nd 1847, located inside the medieval parish church ruins of Kilbarron (TN009-003001-), County Tipperary. The top of the headstone is decorated with a group of symbols known collectively as the 'Arma Christi' which represents scenes from the 'Passion of Christ'. For more information on the church ruins, visit: https://maps.archaeology.ie/HistoricEnvironment/?SMRS=TN009-003001- For more information on the headstone, visit: https://historicgraves.com/old-kilbarron/tn-okbn-0068/grave Source: Objaverse 1.0 / Sketchfab
Abandoned Headstone - Kilbeg - Co. Galway
This headstone located in an aricultural field in East Galway was abandoned by the stone masons during carving. The field, was once an open quarry where limestone slabs could easily be removed from the surface. Stone Masons would often carve stones within a quary and remove them once completed. This was a riskey process as stones may break when being remove. This stone does not appear to be broken on the surface, and there are many local suggestions to why it is left in the middle of a field. It is part of the forgotten history and heritage of galways stone masons. Source: Objaverse 1.0 / Sketchfab
Buffilo Bill's grave on Lookout MT Golden, CO.
This is the grave of[ William Frederick "Buffalo Bill" Cody](https://en.wikipedia.org/wiki/Buffalo_Bill) and his wife [Louisa Maud Frederici](https://en.wikipedia.org/wiki/Louisa_Frederici). No external editing in any 3d program. Created in RealityCapture by Capturing Reality from 153 images in 01h:15m:34s. Source: Objaverse 1.0 / Sketchfab
Templebreedy graveyard, Crosshaven, Co. Cork
Community Monument Fund 2021 survey of Templebreedy graveyard for The Save Our Steeple Group and Cork County Council. Survey by Dr Paul Naessens of Western Aerial Surveys as part of an architectural and archaeological assessment run by Dr Elena Turk of Bluebrick Heritage and John Tierney of Eachtra. Source: Objaverse 1.0 / Sketchfab
Ashleypark Co. Tipperary Neolithic Burial Mound
National Monument No. 573. A megalithic burial chamber known as a Linkardstown-Type Cist was exposed in a large burial mound (SMR No. TN015-009----) encircled by two low wide banks with internal ditches giving an overall diameter of 90m. The structure was uncovered during bulldozing operations in 1980 after which the site was excavated in 1985 by state archaeologist, Con Manning. The core of the mound measuring c. 20m in diameter consists of a cairn with a covering of clay. The skeletal remains of an adult male and a child were found here along with a variety of animal bones, a bone point, some chert flakes and Neolithic pottery, including sherds bearing channelled decoration. Radiocarbon dating indicates a calendar date of c.3,350 BC for the burial in the chamber. The prehistoric site is on private land and there is no access to the monument without the landowner's permission. For more detailed description of the Neolithic site, visit: https://maps.archaeology.ie/HistoricEnvironment/?SMRS=TN015-009---- Source: Objaverse 1.0 / Sketchfab
McClintic Marshall Products Co., Tender B
This is one of five designs proposed by the McClintic Marshall Products Company for a Sydney Harbour Bridge. Their designs incorporated cantilever bridges, suspension bridges and an arch bridge. Read the Sydney Harbour Bridge story [here](https://thebridge.sl.nsw.gov.au/). *McClintic Marshall Products Co., Tender B, Sydney Harbour Bridge: Report On Tenders, 1924, TQ028863* [View in the State Library of New South Wales catalogue](http://digital.sl.nsw.gov.au/delivery/DeliveryManagerServlet?dps_pid=FL6619385&embedded=true&toolbar=false) Source: Objaverse 1.0 / Sketchfab
O' Flynn Memorial - Kilbegly Co. Roscommon
The Moore Heritage Group commissioned the recording of this highly decorated merorial cross in Kilbegly Co. Roscommon. Source: Objaverse 1.0 / Sketchfab
Petroglyph Panel, Yavapi Co
Arizona. The white small oval stain (lower center) appears to be the result of an attempted casting, done decades ago. Source: Objaverse 1.0 / Sketchfab
Vintage Montgomery Ward & Co. Airline Radio
Montgomery Ward & Co. Airline Radio Model 04BR-609A Manufactured in 1940 Scanned with an Artec Leo Processed with Artec Studio 16, Blender, and XNormal. Source: Objaverse 1.0 / Sketchfab
McClintic Marshall Products Co., Tender C
This is one of five designs proposed by the McClintic Marshall Products Company for a Sydney Harbour Bridge. Their designs incorporated cantilever bridges, suspension bridges and an arch bridge. Read the Sydney Harbour Bridge story [here](https://thebridge.sl.nsw.gov.au/). *McClintic Marshall Products Co., Tender C, Sydney Harbour Bridge: Report on Tenders, 1924, TQ028863* [View in the State Library of New South Wales catalogue](http://digital.sl.nsw.gov.au/delivery/DeliveryManagerServlet?dps_pid=FL6619386&embedded=true&toolbar=false) Source: Objaverse 1.0 / Sketchfab
MD simulations from "#GotGlycans: Role of N343 Glycosylation on the SARS-CoV-2 S RBD Structure and Co-Receptor Binding Across Variants of Concern
<p>This folder contains all the MD simulations (saved in frames of 1 ns in PDB format) analysed and discussed in the paper titled "#GotGlycans: Role of N343 Glycosylation on the SARS-CoV-2 S RBD Structure and Co-Receptor Binding Across Variants of Concern" DOI https://doi.org/10.1101/2023.12.05.570076. The naming reflects the specific variant and the presence ('g' or 'gly') or absence ('ng' or 'nogly') of glycosylation at N343 and N331 sites in the SARS-CoV-2 S RBD. Gaussian accelerated MD simulations are indicated with 'gamd', all others represent conventional (deteriministic) sampling. For all details please refer to the original manuscript.</p>
Patterns in the genetic structure of 49 lowland rain forest tree species co-distributed on opposite sides of the Northern Andes
<p>The Andes are a major dispersal barrier for lowland rain forest plants and animals, yet hundreds of lowland tree species are distributed on both sides of the Northern Andes, raising questions about how the Andes influenced their biogeographic histories and population genetic structure. To explore these questions, we generated standardized datasets of thousands of SNPs from paired populations of 49 tree species co-distributed in rain forest tree communities located in Panama and Amazonian Ecuador and calculated genetic diversity (<em>π</em>) and absolute genetic divergence (<em>d</em><sub>XY</sub>) within and between populations, respectively. We predicted (1) higher genetic diversity in the ancestral source region (east or west of the Andes) for each taxon, and (2) correlation of genetic statistics with species attributes, including elevational range and life-history strategy. We found that genetic diversity was higher in putative ancestral source regions, possibly reflecting founder events during colonization. We found little support for a relationship between genetic divergence and species attributes except that species with higher elevational range limits exhibited higher <em>d</em><sub>XY</sub>, implying older divergence times. One possible explanation for this pattern is that dispersal through mountain passes declined in importance relative to dispersal via alternative lowland routes as the Andes experienced uplift. We found no difference in mean genetic diversity between populations in Central America and the Amazon. Overall, our results suggest that dispersal across the Andes has left enduring signatures in the genetic structure of widespread rain forest trees. We outline additional hypotheses to be tested with species-specific case studies.</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.