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6,782 results for “project”
Cloudiness delays projected impact of climate change on coral reefs
<p>The increasing frequency of mass coral bleaching and associated coral mortality threaten the future of warmwater coral reefs. Although thermal stress is widely recognized as the main driver of coral bleaching, exposure to light also plays a central role. Future projections of the impacts of climate change on coral reefs have to date focused on temperature change and not considered the role of clouds in attenuating the bleaching response of corals. In this study, we develop temperature- and light-based bleaching prediction algorithms using historical sea surface temperature, cloud cover fraction and downwelling shortwave radiation data together with a global-scale observational bleaching dataset observations. The model is applied to CMIP6 output from the GFDL-ESM4 Earth System Model under four different future scenarios to estimate the effect of incorporating cloudiness on future bleaching frequency, with and without thermal adaptation or acclimation by corals. The results show that in the low emission scenario SSP1-2.6 incorporating clouds delays the bleaching frequency conditions by multiple decades in some regions, yet the majority (>70%) of coral reef cells still experience dangerously frequent bleaching conditions by the end of the century. In the moderate scenario SSP2-4.5, however, thermal stress would overwhelm the mitigating effect of clouds by mid-century. Thermal adaptation or acclimation by corals could further shift the bleaching projections by up to 40 years, yet coral reefs would still experience dangerously frequent bleaching conditions by the end of century in SPP2-4.5. The findings show that multivariate models incorporating factors like light may improve the near-term outlook for coral reefs and help identify future climate refugia, but the long-term future of coral reefs remains questionable in moderate to higher emissions scenario.</p>
VINDICTA project, Practice 3, egg masses photo survey, code ENGA22060401
<p>ENGA22060401</p>
Molecular and Anatomical Characterization of Parabrachial Neurons and Their Axonal Projections
<p>The parabrachial nucleus (PBN) predominantly relays threatening signals and learned sensory cues that predict threats to forebrain regions. Viral-mediated expression of Cre-dependent effector genes in Cre-driver lines of mice has demonstrated that specific populations of PBN neurons are necessary and sufficient for learning about threats. However, these neurons account for only a fraction of the total population. To further our understanding of the complexity of the PBN neuronal populations, we used single-cell RNA-sequencing technologies, which revealed 21 clusters of neurons (19 glutamatergic, 2 GABAergic) in the PBN and neighboring regions. RNAscope HiPlex <em>in situ</em> hybridization located 12 of these clusters within subregions of the PBN. Viral expression of fluorescent proteins in 21 Cre-driver lines of mice was used to map their axonal projections throughout the brain; they constitute two pathways innervating distinct brain regions. These results are a resource for further interrogation of PBN functions.</p>
Project 2021/05/X/ST8/00114: Introduction of moisture content as a parameter of the breakage probability function of granular biomass - Dataset
<p>This dataset contains the results of research conducted at Purdue University, Agricultural&Biological Engineering during research stay in the period 15.11.2021 - 14.02.2022. The aim of the research was to investigate and analyze the breakage probability of different types of grains for various moisture content levels: 10%, 14%, 18%, 22% and 26 % and particle sizes. The experimental part involves compression tests of selected grains (rice, corn) and specific breakage energy determination. In the result the breakage probability equations in dependance of moisture content and particle size were developed.</p> <p>This dataset contains:</p> <ol> <li>the results of initial moisture content measurement,</li> <li>the results of moisture content measurement after wetting,</li> <li>The results of bulk density measurement,</li> <li>the results of compression tests for low compression rate (1.25 mm/min)</li> <li>the results of compression tests for high compression rate (125 mm/min)</li> </ol>
polifonia-project/Polifonia-Lexicon: v1.0
<p>This is the first Polifonia Lexicon repository release (Lexicon version: 2.1).</p> <p>Alignment with the Rulebook.</p>
Provenance of Software Projects hosted on GitLab.com
<p>Provenance of Software Projects hosted on GitLab - Data set</p>
Projection of NBP in China with YIBs model
<p>This data archive includes simulated present-day and future NBP in China using the YIBs vegetation model. Meteorological forcings from 16 CMIP6 models are used to drive the YIBs model respectively. Different land-use scenarios are considered. </p>
Household Survey in Nairobi (Kibera & Eastleigh) for the "Urban Waterscapes and the Pandemic" research project
<p><strong>"Urban Waterscapes and the Pandemic" research project:</strong> The Covid-19 pandemic has brought to the fore the importance of water access as an essential service protecting human health. Yet, the prevention of human-to-human transmission of the novel virus may be impacted by uneven geographies of water access. The pandemic presented a dilemma in water-deprived urban areas as residents needed to find ways to adapt to new hygiene standards and local Covid-19 responses. Focusing on Nairobi, Kenya’s capital with historically uneven and highly contested geographies of water, we mobilized the concept of waterscapes in order to understand how Nairobi’s waterscapes have changed during the pandemic; how these waterscape changes relate to new requirements; and how far they reflect adaptive creativity or re-produce urban fragmentation. Funded by DFG, the project is a 12-month-long collaboration between IPS, the Department of Urban and Regional Planning at the University of Nairobi, and the British Institute for Eastern Africa.</p> <p><strong>Household survey in Kibera and Eastleigh:</strong> As part of the "Urban Waterscapes and the Pandemic" research project, the project team conducted a household survey in two target areas of Nairobi, namely Kibera and Eastleigh. The survey was conducted in April and May 2022 with the support of 11 enumerators. Spread purposefully over four sub-locations in each target area, the survey included more than 400 respondents per area. The final data set has been quality-checked and cleaned for further analysis; personal details about the respondents and the enumerators that may reveal their identity have been removed.</p>
INFOGRAPHICS ON COUNTRY CASE STUDIES - ROADMAP H2020 project
<p>We are happy to introduce you the ROADMAP infographics on country case studies!<br> <br> During our 3rd ROADMAP Annual Meeting, members and stakeholders discussed their goals and challenges on every country involved in our project and we used the technique of message houses in order to obtain and gather all the information.<br> <br> Right after, we translated this information into visuals in order to make it easier to convey and analyse. The infographics are ready to download!</p>
Multi-model Hydropower Projections for the United States Federal Power Marketing Areas under CMIP5 Climate Change Conditions
<p>This dataset contains an ensemble of monthly hydropower generation projections for the United States Federal Hydropower plants for the periods of 1966-2005 (historical period) and 2011-2050 (future period). The dataset includes the monthly hydropower projections developed in (Kao et al. 2016) based on the Watershed Runoff-Energy Storage (WRES) model and is complemented with another ensemble based on the process-based Water Management Power (WMP) model.</p> <p>The hydrologic projections are estimated through a cascading modeling toolchain that include ten global climate change model projections (ACCESS1-0, BCC-CSM1-1, CCSM4, CMCC-CM, GFDL-ESM2M, MIROC5, MPI-ESM-MR, MRI-CGCM3, NorESM1-M and IPSL-CM5A-LR) under RCP8.5 scenario, which are dynamically downscaled with a regional climate model (RegCM4) ( Pal et al. 2007, Giorgi et al. 2012)), which then inform the Variable Infiltration Capacity (VIC) hydrology model (Liang et al. 1994). The ensemble of hydrologic projections is then informing two processes to translate runoff into hydropower projections. First, WRES models monthly river routing and employs a non-linear statistical approach relating monthly natural flow to hydropower generation, including processes such as spilling. Second, MOSART-WM (Voisin et al. 2013), a large-scale river routing and water management model, provides daily reservoir storage and regulated release at dam locations as well as regulated flow at run-of-the-river power plants. The WMP model then translates reservoir and regulated river dynamics into hydropower projections (Zhou et al. 2018). Those projections are further calibrated to monthly generation provided by the federal utilities. The US federal hydropower plants analyzed in this study include 132 facilities that were built and/or are operated by the US Army Corps of Engineers (USACE), the Bureau of Reclamation (Reclamation), and the International Boundary and Water Commission (IBWC). The electricity generation projected for these hydropower plants were aggregated by four Power Marketing Administrations (PMAs), including Bonneville Power Administration (BPA), Southeastern Power Administration (SEPA), Southwestern Power Administration (SWPA), and Western Area Power Administration (WAPA), and their associate subregions.</p> <p>The two files, <em>SWA9505V2_Gsim_PMA_WRES.mat</em> and <em>SWA9505V2_Gsim_PMA_WMP.mat</em>, represent model outputs from the two hydropower models, WRES and WMP respectively.</p> <p>Each file contains 6 variables:</p> <p>1) “Models”: the 10 global climate models (GCMs).</p> <p>2) “PMA_areas”: the 18 subregions of PMAs as defined in (Kao et al. 2015).</p> <p>3) “PMA_G_mn_6605”: 1966-2005 projected monthly hydropower generation for each PMA sub-regions. Dimension: (12 [months], 40 [years], 18 [subregions], 10 [GCMs]). Unit: MWH.</p> <p>4) “PMA_G_mn_1150”: Same as “PMA_G_mn_6605”, but for 2011-2050 projected hydropower generation.</p> <p>5) “PMA_G_yr_6605”: 1966-2005 projected annual hydropower generation. Dimension: (40 [years], 18 [subregions], 10 [GCMs]) . Unit: MWH.</p> <p>6) “PMA_G_yr_1150”: Same as “PMA_G_yr_6605”, but for 2011-2050 projected hydropower generation.</p> <p>The following journal paper details the method in creating the dataset:</p> <p><strong>Impacts of Climate Change on Subannual Hydropower Generation: A Multi-model Assessment of the United States Federal Hydropower Plants</strong></p> <p><strong>Zhou et al. (2022) Preparing for submission to Environmental Research Letters.</strong></p>
Joint project session at the International Conference on Responsible Use of Antibiotics in Animals
<p>AVANT, DISARM, HealthyLivestock and ROADMAP, projects joined their forces at the 5th International Conference on Responsible Use of Antibiotics in Animals on 8 June 2021. The joint project session "Socio-economic, technical and regulatory dimensions of sustainable change in antimicrobial use in animal production" was composed of 3 themes:</p> <p>- Theme 1: Social, economic, and regulatory factors of transitions</p> <p>- Theme 2: Promising technical innovations to reduce AMU</p> <p>- Theme 3: Stakeholder engagement and impact</p> <p>The video is available on YouTube: </p> <p>For any further questions please contact us at: <strong><a href="https://youtu.be/Dyf9Vq90XpE">https://youtu.be/Dyf9Vq90XpE</a></strong></p> <ul> <li><strong><a href="https://zenodo.org/record/avant@rtds-group.com">avant@rtds-group.com</a></strong> (project AVANT),</li> <li><strong><a href="https://zenodo.org/record/info@disarmproject.eu">info@disarmproject.eu</a></strong> (project DISARM),</li> <li><strong><a href="https://zenodo.org/record/healthylivestockproject@yahoo.com">healthylivestockproject@yahoo.com</a></strong> (project Healthy Livestock) or</li> <li><strong><a href="mailto:roadmap.communication@gmail.com">roadmap.communication@gmail.com</a></strong> (project ROADMAP). </li> </ul>
ArMoR Cluster: 5 research projects fight Antimicrobial Resistance in livestock farming
<p>Within Horizon Results Booster programme (HRB), 4 Horizon 2020 projects (AVANT, DISARM, HealthyLivestock and ROADMAP) and 1 BBSRC funded project (AMRILS) have formed the "ArMoR Cluster" to develop a conceptual framework to improve understanding of AMR in livestock systems.</p> <p>Supported by the European Commission, Horizon Dissemination Booster (HRB) contributes to an effective transfer of research and innovation project results to policy makers, industry and society by offering various services as dissemination, exploitation strategy and business plan development to projects.</p> <p>The video is available on YouTube: <strong><a href="https://www.youtube.com/watch?v=rnU35ytdEuM">https://www.youtube.com/watch?v=rnU35ytdEuM</a></strong></p> <p>For any further questions please contact us at:</p> <ul> <li><strong><a href="https://zenodo.org/record/avant@rtds-group.com">avant@rtds-group.com</a></strong> (project AVANT),</li> <li><strong><a href="https://zenodo.org/record/info@disarmproject.eu">info@disarmproject.eu</a></strong> (project DISARM),</li> <li><strong><a href="https://zenodo.org/record/healthylivestockproject@yahoo.com">healthylivestockproject@yahoo.com</a></strong> (project Healthy Livestock) or</li> <li><strong><a href="mailto:roadmap.communication@gmail.com">roadmap.communication@gmail.com</a></strong> (project ROADMAP). </li> </ul>
Water Isotherms of Adsorbent Materials Evaluated in the Hycool Project
<p>This data is a collection of water adsorption equilibria measured on a selection of water adsorbent materials.<br> They were produced by E. Piccoli (Empa) and revised by V. Brancato and A. Frazzica (CNR-ITAE) and by S. Galmarini (Empa).<br> The methods used to characterize the materials are described in [1], using a DVS Endeveour instrument from SMS. More details can be found in [2].<br> This work was performed in the framework of the project "HyCool: Industrial Cooling through Hybrid system based on Solar Heat", funded by the European Commission H2020 Programme under Grant Agreement No. 792073.</p>
Assessing and Addressing Deficiencies in the HCM Weaving Segment Analyses- Phase II- Project J5
<p>Traffic operation and geometric data from Ramp and Major weaves. These data were used to develop the speed and capacity models under the STRIDE J3 project.</p>
Dataset for FlexSNG project - publication CET2022 vol 92
<p>Dataset (dataset 1.0) for FlexSNG; Refer to Article Development of a bubbling circulating fluidized-bed reactor for biomass and waste gasification (CET 2022 vol.92)</p>
Collaborative Innovation Project funding launch - Dr Samantha Kanza (University of Reading, University of Southampton)
<p>This video is the eighth talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022.</p> <p>Collaborative Innovation Project funding launch - Dr Samantha Kanza (University of Reading)</p> <p>Bio: Dr Samantha Kanza is a Senior Enterprise Fellow at the University of Southampton. She completed her MEng in Computer Science at the University of Southampton and then worked for BAE Systems Applied Intelligence for a year before returning to do an iPhD in Web Science (in Computer Science and Chemistry), which focused on Semantic Tagging of Scientific Documents and Electronic Lab Notebooks. She was awarded her PhD in April 2018. Samantha works in the interdisciplinary research area of applying computer science techniques to the scientific domain, specifically through the use of semantic web technologies and artificial intelligence. Her research includes looking at electronic lab notebooks and smart laboratories, to improve the digitization and knowledge management of the scientific record using semantic web technologies; and using IoT devices in the laboratory. She has also worked on a number of interdisciplinary Semantic Web projects in different domains, including agriculture, chemistry and the social sciences.</p> <p>Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ </p> <p>This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1</p> <p>YouTube Link: https://youtu.be/PDWZkZBzfqw</p>
pl-wnifc/humdrum-polish-scores: Digital scores from the "Polish Music Heritage in Open Access" project
<p>Digital scores from the Polish Music Heritage in Open Access project</p> <p>This repository contains transcriptions from the Heritage of Polish Music in Open Access project at the <a href="https://nifc.pl/en">Chopin Institute</a> in the Humdrum digital score format. Files are organized by the RISM siglum ID of the source archive.</p> <p>Frontend</p> <p>The main user interface for these digital scores is at <a href="https://polishscores.org/">https://polishscores.org/</a>. All transcriptions include scans of the physical scores.</p> <p>Staff:</p> <ul> <li><strong>Lead</strong>: Marcin Konik</li> <li><strong>Technical Lead</strong>: Craig Stuart Sapp</li> <li><strong>Project Manager</strong>: Jacek Iwaszko</li> <li><strong>Metadata Manager: </strong>Marcelina Chojecka</li> <li><strong>Assistant Project Manager</strong>: Emilia Ziętek</li> </ul> <p> </p> <p>Data created within EU funded project "Polish Music Heritage in Open Access"</p> <p>Co-financed by the Ministry of Culture and National Heritage</p> <p> </p> <table align="left"> <caption>Archives represented in repository</caption> <thead> <tr> <th scope="col">Siglum</th> <th scope="col">Library</th> <th scope="col">Scores</th> </tr> </thead> <tbody> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-cz/kern">pl-cz</a></td> <td><a href="https://jasnagora.pl/en/o-sanktuarium/biblioteki/biblioteka-jasnogorska">Jasna Góra Monastery</a></td> <td>1294</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-gd/kern">pl-gd</a></td> <td><a href="https://bgpan.gda.pl/?lang=en">Gdańsk Library PAoS</a></td> <td>244</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-kc/kern">pl-kc</a></td> <td><a href="https://mnk.pl/branch/the-princes-czartoyski-library">Czartoryski Library, Cracow</a></td> <td>108</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-kj/kern">pl-kj</a></td> <td><a href="https://bj.uj.edu.pl/en_GB/start-en">Jagiellonian Library, Cracow</a></td> <td>29</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-kk/kern">pl-kk</a></td> <td><a href="http://akkk.com.pl/">Wawel Cathedral, Cracow</a></td> <td>1720</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-kozmzk/kern">pl-kozmzk</a></td> <td><a href="https://www-muzeumzamoyskich-pl.translate.goog/?_x_tr_sch=http&_x_tr_sl=auto&_x_tr_tl=en&_x_tr_hl=en">Zamoyski Museum, Kozłówka</a></td> <td>168</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-sa/kern">pl-sa</a></td> <td><a href="http://bc.bdsandomierz.pl/dlibra?language=en">Diocesan Library, Sandomierz</a></td> <td>1244</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-stab/kern">pl-stab</a></td> <td><a href="https://rism.info/library_collections/2017/09/28/music-in-the-convent-of-st-adalberts-abbey-in.html">St. Adalbert Abbey, Staniątki</a></td> <td>154</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-wn/kern">pl-wn</a></td> <td><a href="https://www.bn.org.pl/en">Polish National Library</a></td> <td>496</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-wnifc/kern">pl-wnifc</a></td> <td><a href="https://nifc.pl/en">Chopin Institute, Warsaw</a></td> <td>390</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-wtm/kern">pl-wtm</a></td> <td><a href="http://warszawskietowarzystwomuzyczne.pl/biblioteka/">Warsaw Music Society</a></td> <td>1163</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-wumfc/kern">pl-wumfc</a></td> <td><a href="http://www.biblioteka.chopin.edu.pl/pl">Chopin University of Music</a></td> <td>151</td> </tr> </tbody> </table> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
IDENTIFYING AND MITIGATING CONGESTION ONSET (Project J3)
<p>These data were used in the Sacramento and Tampa case studies as described in the final report of the STRIDE J3 project.</p>
Climate and economic projections for the Arctic
<p>Deliverable D8.3 of the Nunataryuk project</p>
Data for: Image-based evaluation of beers at an online Pint of Science festival using Projective Mapping, Check-All-That-Apply and Acceptability
<p>Data obtained from n=67 untrained attendants at an outreach Pint of Science festival, online because of the COVID-19 pandemic but usually held at bars. The participants used images of brand logos to evaluate eight beers among the most commonly consumed in Spain. Three sensory analysis techniques were used: Projective Mapping, Acceptability and Check-All-That-Apply (CATA).</p>
ScienceDex guides
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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.