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6,782 results for “project”
Analysis of immobilized triflogallate (III) IL catalyst - NCN project OPUS, grant no. 2020/37/B/ST8/00693.
<p>Dataset contains results obtained during the NCN project OPUS, grant no. 2020/37/B/ST8/00693. The file presents TGA and SEM-EDX analysis of immobilized triflogallate (III) IL catalyst on silica.</p>
Catalytic activity of [Mim][OTf]-TiO2 catalyst - NCN project OPUS, grant no. 2020/37/B/ST8/00693.
<p>Dataset contains results obtained during the NCN project OPUS, grant no. 2020/37/B/ST8/00693. The file presents the catalytic activity of [Mim][OTf]-TiO2, [Mim][OTf] and TiO2 catalysts in the esterification of oleic acid and 2-ethylhexanol.</p>
PALIMPSEST project | Roll Up Banner
<p>This graphic design represents PALIMPSEST's official roll-up banner.</p>
Subset of Project FeederWatch data demonstrating observer shift
<p>This is a subset of data from the Project FeederWatch dataset, <a href="https://feederwatch.org/explore/raw-dataset-requests/">available on the their website</a>. This dataset is restricted to a 15 km radius around Washington, D.C., and includes observations from the most consistent observers. My GitHub repository, titled <a href="https://github.com/GatesDupont/observer_shift">observer_shift</a>, includes R scripts that processes the raw Project FeederWatch dataset and generates this data subset.</p>
Public funding accountability: a linked open data-based methodology for analysing the scientific productivity and influence of funded projects. Dataset
<p>Tables containing the information about the projects funded by the Spanish AEI and publications acknowledging funding from Funder Registry. Both datasets where used in our publication: <em>Public funding accountability: a linked open data-based methodology for analysing the scientific productivity and influence of funded projects</em>.</p>
MarkerScan: Separation and assembly of cobionts sequenced alongside target species in biodiversity genomics projects
<p>This dataset represents all results files described in the paper 'MarkerScan: Separation and assembly of cobionts sequenced alongside target species in biodiversity genomics projects'.</p>
The PERFECOAT Project – Bio-Based Ingredients for Paint and Coatings (Teaser)
<p>Conventional paint contains many fossil-based ingredients. To mitigate the resulting effects of climate change, the PERFECOAT projects developed different bio-based ingredients like binders, pigments and functional nano materials to be tested in paint and coating formulations for wood and decorative applications. This video shows the objectives and achievements in an easy to understand visualized way. </p><p><a href="https://perfecoat-project.eu">https://perfecoat-project.eu</a></p>
Code and data for RCEMIP-II: Mock-Walker Simulations as Phase II of the Radiative-Convective Equilibrium Model Intercomparison Project
<p>Model configuration code and post-processed data for simulations with SAM6.11.2 (Khairoutdinov and Randall, 2003) and CAM6 (https://github.com/ESCOMP/CESM/releases/tag/release-cesm2.1.3) needed to reproduce figures in the protocol paper for RCEMIP-II (Wing et al., 2023):</p> <p>Wing, A. A., Silvers, L. G., and Reed, K. A.: RCEMIP-II: Mock-Walker Simulations as Phase II of the Radiative-Convective Equilibrium Model Intercomparison Project, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2023-235, in review, 2023.</p> <p>SAM6.11.2 data (SAM6.11.2-lambda6000.zip and SAM6.11.2-lambda6144.zip):</p> <ul> <li>lambda6000: simulations with wavelength 6000 km</li> <li>lambda6144: simulations with wavelength 6144 km</li> <li>Each simulation, for a given mean SST ($SST) and delta SST ($dT) has the following data files <ul> <li>crh_avg_$SST_$dT.mat: column relative humidity averaged over the short (y) dimension, as a function of x and time.</li> <li>mockwalker2048x128x74_3km_12s_$SST_$dT.nc: domain-averaged 0D (function of t) and 1D (function of z and t) data <ul> <li>The "long" simulations, which have a domain that is twice as long as normal, instead have files with names mockwalker4096x128x74_3km_12s_$SST_$dT.nc</li> <li>The "wide" simulations, which have a domain that is twice as wide as normal, instead have files with names mockwalker2048x256x74_3km_12s_$SST_$dT.nc</li> <li>The "longwide" simulations, which have a domain that is twice as long and twice as wide as normal, instead have files with names mockwalker4096x256x74_3km_12s_$SST_$dT.nc</li> </ul> </li> <li>SAM_CRM_MW_$SST_$dT_1D_cldfrac_avg.nc: domain cloud fraction profile (function of z and t) following cfv2 definition of Stauffer and Wing (2022)</li> </ul> </li> </ul> <p>SAM6.11.2 configuration files (SAM6.11.2-lambda6000-config.zip and SAM6.11.2-lambda6144.zip):</p> <ul> <li>lambda6000: simulations with wavelength 6000 km</li> <li>lambda6144: simulations with wavelength 6144 km</li> <li>Each simulation, for a given mean SST and delta SST has the following configuration files <ul> <li>snd: Initial sounding</li> <li>prm: Namelist parameters</li> <li>grd: Vertical grid</li> <li>domain.f90: Domain size and number of subdomains</li> <li>simpleocean.f90: SST specification</li> </ul> </li> </ul> <p>CAM6 data (CAM6.zip):</p> <ul> <li>Each simulation, for a given mean SST ($SST) and delta SST ($dT) has the following data files <ul> <li>MockWalk54_humidity_HCF_$dT_$SST.nc: column relative humidity averaged over 4 longitude points, as a function of latitude and time.</li> <li>CAM6_MockW_$dT_cos_$SST_3_yr_HCF_0D_rlut_avg.nc: domain-averaged longwave flux at the top of the atmosphere</li> <li>CAM6_MockW_$dT_cos_$SST_3_yr_HCF_0D_rsut_avg.nc: domain-averaged upwelling shortwave flux at the top of the atmosphere</li> <li>CAM6_MockW_$dT_cos_$SST_3_yr_HCF_0D_rsdt_avg.nc: domain-averaged downwelling shortwave flux at the top of the atmosphere</li> <li>CAM6_MockW_$dT_cos_$SST_3_yr_HCF_1D_cldfrac_avg.nc: domain-averaged cloud fraction profile (function of z and t)</li> </ul> </li> </ul> <p>CAM6 configuration files (CAM6-MW295dT1p25-config.tar, CAM6-MW300dT1p25-config.tar, CAM6-MW305dT1p25-config.tar): Contains model initialization and configuration files for simulations with delta SST = 1.25 K. Simulations with other delta SST values need only change the delta SST parameter. </p>
The PERFECOAT Project Infographic – High Performance Bio-based Functional Coatings for Wood and Decorative Applications
<p><strong>The PERFECOAT Project</strong></p><p>The pursuit of a climate-neutral Europe and a truly circular economy requires attention to virtually all fields of production if fossil-based materials are to be eliminated. This relates not only to manufactured goods but also the paints and coatings used to protect them; of the almost 1 million tonnes of paints and coating produced in Europe each year, more than 80% are derived from fossil resources. Reducing the impact of these coatings would represent a major advance in Europe's climate ambitions.</p><p>To address this challenge, the PERFECOAT project will develop and validate a new generation of industrial wood and decorative coatings with significantly more than 25% bio-based components. The project will address three important markets for coatings, high-volume, UV-curable clear coatings, waterborne trim paints for DIY and waterborne wall paints. These coatings will reach, and even surpass, the current quality and sustainability standards.</p><p><a href="https://perfecoat-project.eu">https://perfecoat-project.eu</a></p>
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>
Discharge of springs monitored during the WABEsense project
<p>Water discharge and temperature of the springs monitored during the <a href="https://www.aramis.admin.ch/Grunddaten/?ProjectID=47484">WABEsense project (UTF 642.21.20)</a>.</p><p>The data corresponding to the all field measurements performed between Feb. 2021 and Dec 2023. Data for each spring might not cover the whole period.</p><p>For each spring there are two files: *.csv and *.meta. The .csv file contains the recorded data. The .meta fiel contains further information about the spring (e.g. location) and the data.</p><p>## List of springs:</p><p>- Bonaduz BS Paliu Fravi<br>- Bonaduz BS Salums Friedrich<br>- Bonaduz BS Salums Leo<br>- Bonaduz SS Leo Friedrich<br>- Bregaglia BS Acqua d'Balz 1<br>- Bregaglia BS Acqua d'Balz 2<br>- Hergiswil BS Rossmoos<br>- Hergiswil SS Muesli<br>- Oberriet SS Ulrika<br>- Schiers BS Chalta Wasser<br>- Schiers BS Grapp rechts<br>- Susch BS Prada bella suot<br>- Susch BS Prada bella sura<br>- Zernez BS Sarsura<br>- Zug SS Nidfuren</p><p>More details about each spring is given in the corresponding .meta file.</p><p>We are very grateful for the work of the operators responsible for collecting the data.</p><p>## Files formats</p><p>All files are plain text. The .csv files are UTF-8 encoded and separated by ";" (semi-colon) . The .meta files follow the YAML format.</p><p>An example of loading the data in python using pandas is given below:</p><p>import pandas as pd data = pd.read_csv("Bonaduz.BS.Paliu_Fravi_discharge.csv", encoding="utf-8", sep=";")</p><p> </p>
Infographics of six key aspects in the development of citizen science projects
<p>These six infographics describe six key aspects in the development of citizen science projects. The six key ideas are: co-creation, communities, tools and methods, data, ethics and inclusion, and action. Each infographics condensates several ideas and messages in three columns: why is the aspect is important, how can this aspect be further develop and finally a set of practical recommendations.</p> <p>The digital material is also available at the Universitat de Barcelona <a href="https://web.ub.edu/en/web/ciencia-ciutadana/">website</a> on citizen science. The material is being used in certified training activities on citizen science and developed by the <a href="http://www.ub.edu/opensystems/">OpenSystems</a> research group. The first use of this material is being done during a certified training program offered by IDP-ICE UB: Training in citizen science: Introduction and deepening in the development of participatory research projects with social commitment. It had a 10 h duration and it was oriented to a wide audience that mostly include universities staff, civil society organisations representatives, university students, and public administration staff.</p> <p>Infographics created under the CSNOW project with the Citizen Science Work Group of the IDP-ICE UB, coordinated by Josep Perelló with the support of Núria Coll-Bonfill. Translations from Catalan to English have been possible with the support of the TORCH EU project. Design: <a href="https://minimalheroes.tv">Minimal Heroes</a>.</p>
Supplementary files for AI4NAMS project
Open the record for dataset details and reuse information.
Greenland 2022 GHOST Project: Sampling Greenland Geothermal Springs - Expedition Report Data
Data from the GHOST GRL22 Leg 1 Expedition report
Data for "The Green's Function Model Intercomparison Project (GFMIP) Protocol"
<p>Data used in the analysis for the GFMIP Protocol paper, in the form of .jld2 files, to be used in conjunction with <a href="../doi/10.5281/zenodo.7697344">https://zenodo.org/doi/10.5281/zenodo.7697344</a></p>
FreeMe EU Project: Sprayable resins utilization for PoP process
<p>The FreeMe project aims to eliminate the use of hexavalent chromium (Cr<sup>6+</sup>) and palladium (Pd) from the Plating on Plastics (PoP) process, based on REACH compliant chemicals, avoiding toxic compounds and ensuring long-term sustainability. <span>This video is an early demonstration of the spray apparatus for the application of resins in substrates in the context of the Plating on Plastics (PoP) process of the FreeMe Project.</span></p>
FreeMe EU Project: Infographic video
<p><span><span>The FreeMe project aims to eliminate the use of hexavalent chromium (Cr<sup>6+</sup>) and palladium (Pd) from the Plating on Plastics (PoP) process, based on REACH compliant chemicals, avoiding toxic compounds and ensuring long-term sustainability. This video is an introduction to the FreeMe Project</span><span>, its scope and objectives. <br></span></span></p>
Data from: Community Credit Photovoice project on trust in consumer financial services
<p>The Community Credit research project explores pathways for trusted collaboration between credit unions and the communities they serve. To understand the experiences of people historically underserved by the consumer financial services industry, we focused in particular on the lived experience of low-income residents in Southern California. As part of a larger, mixed-methods study, in 2022 we conducted a five-week photovoice workshop exploring participants' economic lives and experiences with consumer financial services. Photovoice is a community-based participatory research method in which participants narrate and analyze their lived experiences using photography. This data set contains the transcripts from the photovoice sessions after excluding any personally identifying data.</p> <p>All study materials and procedures were approved by the University of California, Irvine Office of Human Research Protections and the Institutional Review Board (protocol ID 20216839). This material is based upon work supported by the National Science Foundation under Grant No. 2137567. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.</p>
Projected future autumn leaf phenology of deciduous trees
<p><span>Autumn leaf phenology (i.e. leaf colouring or leaf senescence) marks the end of the growing season, during which trees assimilate atmospheric CO<sub>2</sub>. Since autumn leaf phenology responds to climatic conditions, climate change affects the length of the growing season. Thus, autumn phenology is often modelled to assess possible climate change effects on future CO<sub>2</sub> mitigating capacities and species compositions of forests.</span></p> <p><span>Here, we give access to the entire dataset of projected autumn phenology analyzed in Meier and Bigler (2023). The data was derived from different combinations of 21 process-oriented phenology models, 5 optimization algorithms, ≥7 sampling procedures, and 26 climate model chains from two representative concentration pathways. The dataset contains the average autumn phenology per site and for the years 2080-2099 according to each combination that led to a successful calibration. Calibration and validation were based on >45 000 observations for common beech (<em>Fagus sylvatica L.</em>), pedunculate oak (<em>Quercus robur L.</em>), and European larch (<em>Larix decidua Mill</em>.) from 500 Central European sites each.</span></p> <p><span>Cite as Meier, M., & Bigler, C. (2023). Process-oriented models of autumn leaf phenology: Ways to sound calibration and implications of uncertain projections. <em>Geoscientific Model Development</em>, 16(23), 7171–7201. https://doi.org/10.5194/gmd-16-7171-2023</span></p>
Egypt Project
i added the pryamids on top of these weird looking cracked floors so you have like a desert vibe i guess.I used this carpet thingy as water for like a river and i made a bridge ussing some weird things and i added boats and found these gingerbread people and put 2 on a bridge and 1 in the boat.So yeah thats all. 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.