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6,782 results for “project”
Dataset for the paper "Trends in studies developed in Europe about inclusion and diversity in schools: A systematic research projects review"
<p>Resources for the Systematic Research Projects Review (SRPR) about European research projects on school inclusion and diversity. The SRPR is related to the project "Gamified Values Education For Fostering Migrant Integration at Schools (GAMIGRATION)" funded by Erasmus+ programme of the European Union (ref. 2021-1-ES01-KA220-SCH-000032607).</p> <p>Search conducted on CORDIS and Erasmus+ platform.</p>
PhV_SeGReV project: Analyzing previous photovoice experiences
<p>This video consists of an analysis of photovoice experiences in addressing gender-related violence in classroom settings at URV during the academic year 2020-21 as a part of the project Mainstreaming Sexual and Gender-Related Violence sensibilities into university courses through Photovoice experiences.</p> <p>Project link: http://www.innovaciondocentegenero.eu/photovoice/ </p>
PhV_SeGReV project: Analyzing previous photovoice experiences
<p>This video consists of an analysis of photovoice experiences in addressing gender-related violence in classroom settings at UCM and UB during the academic year 2020-21 as a part of the project Mainstreaming Sexual and Gender-Related Violence sensibilities into university courses through Photovoice experiences.</p> <p>Project link: http://www.innovaciondocentegenero.eu/photovoice/</p>
MAgPIE model runs csv for plotting: Climate change-driven global land-use system adaptation under CMIP6-based crop model projections
<p>This .zip file contains the data used to create the figures for the paper. It includes .csv files and .nc files for maps. This version includes additional files like the mapping between countries and MAgPIE're economic regions.</p>
Daily Reports from the projects STIMTEC and STIMTEC-X
<p>Daily Reports of the activities in the Research Mine Reiche Zeche (Freiberg, Germany) during the projects STIMTEC and STIMTEC-X</p>
EvoSL: A Large Open-Source Corpus of Changes in Simulink Models & Projects
<p>EvoSL is a corpus of 924 Simulink repositories useful to perform model evolutionary studies. <a href="https://zenodo.org/api/files/cbb76da1-1077-4020-8d7c-1c6f4f7b3d36/dataset_er_derived_full_schema.pdf?versionId=a9270932-acca-40d8-b5aa-88330525ade8">dataset_er_derived_full_schema</a> shows the full schema design of the EvoSL_v1 SQLite database. Refer to the paper for full details of the dataset.</p> <p>EvoSL.sqlite (Table: Model_element_changes) contains over 2+ million element-level change raw data extracted from 14k+ Simulink model snapshots. Refer to the tool (https://github.com/50417/EvoSL-Tool) to discard duplicates using its cleaning module.</p> <p>"EvoSL: A Large Open-Source Corpus of Changes in Simulink Models & Projects" is accepted in <a href="https://conf.researchr.org/track/models-2023/models-2023-technical-track">MODELS 2023</a> (CORE A, acceptance rate: 24.6%)</p> <p> </p>
Zonal and raster data for i-SoMPE WP1 R Project
<p>This data is necessary to run the i-SoMPE WP1 R Project available on GitLab and Zenodo.</p>
Afognak Lake Sockeye Salmon Monitoring Project (2020–2022)
<p>The Afognak River (Litnik) has historically supported one of the largest sockeye salmon subsistence fisheries for Kodiak Archipelago residents. In the 2000s, the number of sockeye salmon returning to Afognak River had diminished substantially resulting in closures to commercial, sport, and subsistence fishing in Afognak Bay. Local subsistence users, represented by the Kodiak-Aleutians Regional Advisory Council, Kodiak Fish and Game Advisory Committee, and Kodiak Tribal Council, stressed the importance of the Afognak River system to local subsistence users and contended that continued closures would make it more difficult for local residents to meet their sockeye salmon needs and shift fishing efforts to small nearby sockeye salmon runs. The Afognak Lake Sockeye Salmon Stock Monitoring Project enumerates adult sockeye salmon into Afognak Lake through a weir located on the Afognak River, describes run-timing, or proportional daily passage, of sockeye salmon through the weir, estimates the age and sex composition of adult sockeye salmon returns, and estimates the average length (mm) by age and sex of sockeye salmon passing through the weir. Data collected from this project provide salmon management biologists the ability to make in-season decisions to execute commercial and sport fisheries. In addition, the information that is gathered from these projects refines the escapement goals and improves preseason run forecasts to allow for maximum sustainable yield and prevent unnecessary restrictions of federal and state subsistence fisheries.</p>
Project BioDyn: compilation of long-term (>20yrs) community timeseries data from terrestrial and freshwater realms
<p>The given dataset was compiled for n=2668 communities (242 study IDs in total, see the metadata file) across terrestrial and freshwater realms (terrestrial birds: n=1259, invertebrates: n=124, plants: n=435, and mammals: n=136, freshwater fish: n=587, invertebrates: n=112, and phytoplankton: n=15). Community timeseries include species-level abundance (or biomass in 15% of cases) and a minimum of 20 years sampled. We have compiled this data and used it for the first time to analyze how community stability and its drivers (species richness, overall synchrony, and tail-dependent synchrony) would differ across realms.</p>
Forest net biome exchange and carbon stock projections by the regions of mainland Finland
<p>Forest net biome exchange and carbon stock projections with uncertainty by regions of the mainland Finland over period 2015-2050. Projections under three climate scenarios, RCP2.6, RCP4.5, and RCP8.5, and four harvest scenarios - BaseHarv (historical average harvest level of the years 2015-2021), slightly more intensive harvests MaxHarv (1.2 x BaseHarv), lower harvest intensity LowHarv (0.6 x BaseHarv) and no harvests after the year 2021 NoHarv - for each administrative region (NUTS3), and as aggregated from all the regions to the whole country, are given. The files contain mean value and 2.5%, 5%, 25%, 75%, 95% and 97.5% quantiles of the average Net Biome emissions (file <em>NBEave.xlsx</em>) and total carbon stock (file <em>Cstockave.xlsx</em>). The forest areas (forest land and poorly productive forest land, excluding undrained peatlands), and areas of mineral soils and drained organic soils for each region and the whole mainland of Finland are given in file <em>areas.xlsx</em>.</p> <p>Description of the used data and methods are given in article:<br> Junttila, V., Minunno, F., Peltoniemi, M. <em>et al.</em> Quantification of forest carbon flux and stock uncertainties under climate change and their use in regionally explicit decision making: Case study in Finland. <em>Ambio</em> (2023). <a href="https://doi.org/10.1007/s13280-023-01906-4">https://doi.org/10.1007/s13280-023-01906-4</a></p>
Dataset on biomarkers for the project "Intermittent hypoxia differentially affects metabolic and oxidative stress responses in two species of cyprinid fish"
<p>The file contains the data for the tissue-level biomarkers evaluating the impact of short-term hypoxia on oxidative stress and metabolic parameters in silver carp <em>Hypophthalmichthys molitrix </em>and gibel carp <em>Carassius gibelio.</em></p>
PrisonLIFE project - Adaptation, translation equivalence and content validity of the MQPL survey in Serbian
<p>This dataset was created as part of the PrisonLIFE project, funded by the Science Fund of the Republic of Serbia under Grant No. 7750249.</p> <p>This dataset includes information about the adaptation process, translations, and content validity assessment of the Serbian version of the Measuring the Quality of Prison Life (MQPL) survey, along with details about participants in focus groups and their feedback. The study references the works by Liebling et al. (2012) and Milićević et al. (2023).</p>
Scripts, inputs and outputs of Module 4 ANOVA test regarding Deliverable D6.3 "Performance and Impact assessment" in the IP4MaaS project
<p>All the materials, inputs, models, and scripts that are used in the performance assessment toolbox (IP4MaaS project, Deliverable D6.3 Performance and Impact Assessment) are available in the attached folder. </p> <p>The attached folder contains the following:</p> <p>Module 4_Calculation of ANOVA test (the input, formulation, macros, and scripts of ANOVA test per each IP4MaaS demo site).</p> <p>The scripts have been designed for easy adoption in other projects with similar end goals. While the scripts operate on the codified representation of the traveller profiles, functionalities, and service providers, there is no restriction on the type of codification used. The only factor that the scripts assume is the order of the variables introduced for codification. That is the traveller profile variable (wherever applicable), followed by the Functionality variable, followed by the Service Provider variable. As long as the order is maintained, the scripts self-analyze the number of variables representing the traveller profiles, functionalities, and service providers, and perform calculations (USI, Effectiveness) and analysis (Regression and BN), Hence, in a similar framework, the scripts may be used for performing data analysis on a large data set with no restriction on the number of functionalities, service providers or subsets of traveller profiles. Documented Scripts can be found in a downloadable ZIP file here. </p>
Scripts, inputs and outputs of Module 5 USI travellers, TSPs and Effectiveness regarding Deliverable D6.3 "Performance and Impact assessment" in the IP4MaaS project
<p>All the materials, inputs, models, and scripts that are used in the performance assessment toolbox (IP4MaaS project, Deliverable D6.3 Performance and Impact Assessment) are available in the attached folder. </p> <p>The attached folder contains the following:</p> <p>Module 5_Results and outputs of USI Travellers, USI TSPs, Effectiveness (Travellers & TSPs) and the average of Effectiveness of all functionalities individually across all 6 demo sites (inputs, calculation, formulation, scripts of USI travellers, TSPs and Effectiveness per each IP4MaaS demo site).</p> <p>The scripts have been designed for easy adoption in other projects with similar end goals. While the scripts operate on the codified representation of the traveller profiles, functionalities, and service providers, there is no restriction on the type of codification used. The only factor that the scripts assume is the order of the variables introduced for codification. That is the traveller profile variable (wherever applicable), followed by the Functionality variable, followed by the Service Provider variable. As long as the order is maintained, the scripts self-analyze the number of variables representing the traveller profiles, functionalities, and service providers, and perform calculations (USI, Effectiveness) and analysis (Regression and BN), Hence, in a similar framework, the scripts may be used for performing data analysis on a large data set with no restriction on the number of functionalities, service providers or subsets of traveller profiles. Documented Scripts can be found in a downloadable ZIP file here. </p>
Scripts, inputs and outputs of Module 1 AHP analysis regarding Deliverable D6.3 "Performance and Impact assessment" in the IP4MaaS project
<p>All the materials, inputs, models, and scripts that are used in the performance assessment toolbox (IP4MaaS project, Deliverable D6.3 Performance and Impact Assessment) are available in the attached folder. </p> <p>The attached folder contains the following:</p> <p>Module 1_AHP and Pairwise comparison matrix calculation_IP4MaaS II (formulations and calculations of pairwise comparison matrix per each IP4MaaS demo site).</p> <p>The scripts have been designed for easy adoption in other projects with similar end goals. While the scripts operate on the codified representation of the traveller profiles, functionalities, and service providers, there is no restriction on the type of codification used. The only factor that the scripts assume is the order of the variables introduced for codification. That is the traveller profile variable (wherever applicable), followed by the Functionality variable, followed by the Service Provider variable. As long as the order is maintained, the scripts self-analyze the number of variables representing the traveller profiles, functionalities, and service providers, and perform calculations (USI, Effectiveness) and analysis (Regression and BN), Hence, in a similar framework, the scripts may be used for performing data analysis on a large data set with no restriction on the number of functionalities, service providers or subsets of traveller profiles. Documented Scripts can be found in a downloadable ZIP file here. </p>
Scripts, inputs and outputs of Module 2 Regression analysis regarding Deliverable D6.3 "Performance and Impact assessment" in the IP4MaaS project
<p>All the materials, inputs, models, and scripts that are used in the performance assessment toolbox (IP4MaaS project, Deliverable D6.3 Performance and Impact Assessment) are available in the attached folder. </p> <p>The attached folder contains the following:</p> <p>Module 2_Regression analysis (inputs, scripts, and formulations of regression analysis per each IP4MaaS demo site).</p> <p>The scripts have been designed for easy adoption in other projects with similar end goals. While the scripts operate on the codified representation of the traveller profiles, functionalities, and service providers, there is no restriction on the type of codification used. The only factor that the scripts assume is the order of the variables introduced for codification. That is the traveller profile variable (wherever applicable), followed by the Functionality variable, followed by the Service Provider variable. As long as the order is maintained, the scripts self-analyze the number of variables representing the traveller profiles, functionalities, and service providers, and perform calculations (USI, Effectiveness) and analysis (Regression and BN), Hence, in a similar framework, the scripts may be used for performing data analysis on a large data set with no restriction on the number of functionalities, service providers or subsets of traveller profiles. Documented Scripts can be found in a downloadable ZIP file here. </p>
SDM current and future projections for alternate CAM-based cultivation in SSA
<p class="MsoNormal">Globally we are facing an emerging climate crisis, with impacts to be notably felt in semi-arid regions across the world. Cultivation of drought-adapted succulent plants has been suggested as a nature-based solution that could: (i) reduce land degradation, (ii) increase agricultural diversification and provide both economic and environmentally sustainable income through derived bioproducts and bioenergy, (iii) help mitigate atmospheric CO<sub>2</sub> emissions, and (iv) increase soil sequestration of CO<sub>2</sub>. Identifying where succulents can grow and thrive is an important pre-requisite for the advent of a sustainable alternative 'bio-economy'. Here we first explore the viability of succulent cultivation in Africa under future climate projections to 2100 using species distribution modelling to identify climatic parameters of greatest importance and regions of environmental suitability. Minimum temperatures and temperature variability are shown to be key controls in defining the theoretical distribution of three succulent species explored, and <span>under both current and future SSP5 8.5 projections, the conditions required for growth of at least one of the species is met in most parts of sub-Saharan Africa. </span>These results are supplemented with an analysis of potentially <em>available</em> land for alternative succulent crop cultivation. <span>In total</span>, <span>up to 1.5 billion hectares could be considered ecophysiologically suitable and available for succulent cultivation due to projected declines in rangeland biomass and yields of traditional crops. These </span>findings may serve to highlight new opportunities for farmers, governments, and key stakeholders in the agriculture and energy sectors to invest in sustainable bioeconomic alternatives that deliver on environmental, social and economic goals.<span> </span></p>
SXRF data for BAIT project
<p>Single-cell element data for phytoplankton collected from around the BATS station as part of the US National Science Foundation-sponsored BAIT project (https://www.bco-dmo.org/project/822807).</p>
Marine heatwave prediction using machine learning - Moana Project
<p>This datasets includes results of the PCA analysis used in the repository https://github.com/metocean/marineheatwave_ml_moana</p> <p> </p>
EU- Level Survey Data on Potential of Bioenergy Market Uptake - BECoop project
<p><strong><em>Activity Description:</em></strong><br> In this initiative, a quantivie online survey was distributed via Social Media, email, and other communication channels (i.e. WhatsApp), with the aim of accumulating 500 responses. The survey was specifically directed towards RESCoop members, authorities, and policymakers across Europe.</p> <p><strong><em>Purpose of the Surveys:</em></strong></p> <p>A comprehensive survey was crafted with the primary purpose of gathering insights conserning mainly the potential expansion of the bioenergy market within RESCoops. </p> <p>To ensure effective communication with the target audience, the questionnaire was initially developed in English, and the project partners collaborated to translate it into the six languages of the consortium: French, German, Greek, Italian, Polish, and Spanish. This multilingual approach played a significant role in facilitating engagement.</p> <p>The translated survey was then administered online through a GDPR-compliant EU survey platform. Led by the pilot teams the survey's dissemination efforts acitively engaged the target audience, both within their respective regions and other european countries. The survey promotion phase spanned from February to May 2021, leveraging the extensive networks, social media accounts, websites, and communication channels of the BECoop project. The survey remained open until the end of the project.</p> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement no. 952930.</p>
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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.