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6,782 results for “project”
Data from: Future projections of biodiversity and ecosystem services in Europe with two integrated assessment models
<p>Projections of future changes in biodiversity and ecosystem services (BES) are of increasing importance to inform policy and decision-making on options for conservation and sustainable use of BES. Scenario-based modelling is a powerful tool to assess these future changes. This study assesses the consequences for BES in Europe under four socio-environmental scenarios designed from a BES perspective. We evaluated these scenarios using two integrated assessment models (IMAGE-GLOBIO and CLIMSAVE IAP, respectively). </p> <p><strong>Veerkamp, C. J</strong>., Dunford. R. W., Harrison, P. A., Mandryk, M., Priess, J. A., Schipper, A. M., Stehfest, E., & Alkemade, R. (2020). Future projections of biodiversity and ecosystem services in Europe with two integrated assessment models. <em>Regional Environmental Change,</em> 20, 103. <a href="https://doi.org/10.1007/s10113-020-01685-8">https://doi.org/10.1007/s10113-020-01685-8</a> </p>
Urban Project files
<p>These files consist analysis of a project done in the Cape Coast metropolis in Ghana on<br>avian use of some 10 selected forest or habitat patches in the core on the urban area where the probability of<br>green habitats disappearing was extremely high hence of conservation concern. We investigated how habitat<br>patch size, season, distance from refuse, and elevation influenced bird diversity (richness and abundance).<br>We recorded birds seen using the habitats with two point count stations each replicated 4 times, twice in<br>each of the seasons (Dry and Rainy). We described habitat diversity and richness with Shannon-Weiner<br>index.</p>
Krmni viri za prašiče analizirani v projektu V4-2201 in V4-1417 /Feed resources for pigs analysed in projects V4-2201 and V4-1417
<p>Hranilna vrednost krmnih virov zbranih in analiziranih v CRP projektih V4-2201 in V4-1417 (financerja ARIS in MKGP)</p>
Dataset related to ADHD phase 2 of the project "Transition care between adolescent and adult services for young people with chronic health needs in Italy", funded by the Italian Ministry of Health (RF-2019-12371228).
<p>Dataset related to ADHD phase 2 of the project "Transition care between adolescent and adult services for young people with chronic health needs in Italy", funded by the Italian Ministry of Health (RF-2019-12371228).</p>
Photophysical results of V-shaped ambipolar, nitrogen-doped π-Conjugated polycyclic aromatic hydrocarbon TADF emitters obtained in the project 2022/45/B/ST5/03712
<p>The files presents photophysical results of the set of emitters analysed for OLED applications in the project NCN OPUS 2022/45/B/ST5/03712.</p> <p>Chem. Commun., 2023,59, 2815-2818</p>
Photophysical results of ambipolar, nitrogen-doped π-Conjugated polycyclic aromatic hydrocarbon TADF emitters obtained in the project 2022/45/B/ST5/03712
<p>The files presents photophysical results of the set of emitters analysed for OLED applications in the project NCN OPUS 2022/45/B/ST5/03712.</p> <p>ACS Appl. Mater. Interfaces 2023, 15, 37728−37740</p>
Data for project "Cellulose nitrate lacquer on silver objects", RAÄ-2021-3131
<p>Data from the project "Cellulose nitrate lacquer on silver objects" (RAÄ-2021-3131). Each zip file contains an Instrument report file which gives sample names and descriptions, instrument parameters, spectra figures and in some report interpretation notes. Data from the following analytical techniques is included: 1. Scanning electron microscopy with energy dispersive x-ray spectroscopy (SEM-EDS); 2. Polarized light microscopy (PLM); 3. Fourier transform infrared spectroscopy (FTIR).</p> <p>Data was collected as a continuation of (but after the publication of) the bachelor theses "A greener solution: Investigating the potential use of Green Solvents to remove cellulose nitrate lacquer from silver objects" by Evelina Borén (https://hdl.handle.net/2077/72648) and "The use of gels for the removal of cellulose nitrate lacquer on silver" by Katayon Miri (https://hdl.handle.net/2077/72650), both at the Department for Conservation, University of Gothenburg. <strong>The project is also part of a larger invesitgation about removing cellulose nitrate lacquer on silver objects, supported by European Union funded IPERION HS project (2020-INFRAIA-2019-1),.......</strong></p> <p>Instrument reports including technical specifications of each instrument can also be found under DOI 10.5281/zenodo.10869595 . </p>
Calculation of the GHG emissions of a European research project on electrified vehicles
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Dataset of publicly funded R&D projects in the Valencian region
<p>The excel file contains information on R&D collaborations in the Valencian region, which received funding from AVI or IVACE in the time period 2016-2022. The following open calls are taken into consideration: (1) Strategic projects in cooperation, (2) Consolidation of the business value chain, (3) R&D in cooperation.</p> <p>The data was collected as part of Marie Skłodowska-Curie Policies for Smart Specialisation (POLISS) research network (<a href="https://poliss.eu/" rel="nofollow">https://poliss.eu</a>). This project has received funding from the European’s Union H2020 Research and Innovation Programme under Grant Agreement No 860887.</p>
Examining factors affecting sustainable performance of building projects using structural equation modeling
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Projections of spatial distributions of suitable environmental conditions for key Baltic Sea zooplankton species - Data
<p>This repository contains seven occurrences dataset which represent the station where the species have been identified, ranging from 2000 to 2020. The environmental projections for the period 2010-2020, as well as future projection on two horizons: from 2040 to 2050 and from 2090 to 2100 on two different scenarios: SSP245 and SSP585. The occurrences have been exctracted from OBIS (https://obis.org) and the environmental projections from Bio-ORACLE (https://bio-oracle.org).</p> <p> </p> <p>Occurrences datasets: </p> <ul> <li><em>Temora longicornis</em></li> <li><em>Centropages hamatus</em></li> <li><em>Limnocalanus macrurus macrurus</em></li> <li><em>Evadne nordmanni</em></li> <li><em>Acartia tonsa</em></li> <li><em>Acartia longiremis</em></li> <li><em>Acartia bifilosa</em></li> </ul> <p> </p> <p>Projections:</p> <ul> <li>Projection Baseline 2010-2020</li> <li>Projection 2040-2050 SSP245</li> <li>Projection 2090-2100 SSP245</li> <li>Projection 2040-2050 SSP585</li> <li>Projection 2090-2100 SSP585</li> </ul> <p> </p> <p> </p> <p> </p>
Project and Versions
<div> <p>The dataset contains a list of the projects and versions used in our experiments. </p> <p> </p> </div>
Heat demand profiles from the When2Heat project repository
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Optimal forest management schemes and the corresponding forest biomass carbon sink projections in China
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Dataset for figure & table of report A.2.1.1. of Metrohyve " project
<p>dataset related to survey on gas calibrants availability</p>
DMI Klimaatlas v2024b - Fremskrivninger af det danske klima (Projections of climate indicators in Denmark)
<p>See below for English version</p> <p> ---</p> <p><strong>DMI Klimaatlas v2024b - Fremskrivninger af det danske klima</strong></p> <p>Klimaatlas leverer ét samlet datagrundlag for det fremtidige danske klima. Klimaatlas er udarbejdet på baggrund af DMI's egne data, internationale samarbejder og viden fra rapporter fra FN’s Klimapanel (IPCC). Finansieringen kommer fra Finansloven 2018 og 2022. Klimaindikatorer er udregnet og samlet for hele Danmark, kommuner, alle vandoplande (afvandingsområder) og kyststrækninger, i et højtopløsningsgitter (1x1 km).</p> <p>Denne opdatering indebærer:</p> <ul> <li>Alle havniveau og stormflodsindikatorer er opdateret på baggrund af Kystdirektoratets nyeste opdatering af ”Højvandsstatistikkerne” fra Juli 2024 og rediveret 5 november 2024<strong>. </strong></li> <li>Tilføjelse af to nye SSP-udledningsscenarier SSP1-1.9 og SSP3-7.0 for havniveau og stormflodsindikatorer.</li> <li>Ændring i indikatorerne: <ul> <li><strong>Tilføjelse 1 indikator</strong> <ul> <li>Hyppighed af nuværende 100 årshændelse</li> </ul> </li> <li><strong>Fjernelse 3 indikatorer</strong> <ul> <li>Samlet varighed af vandstandsvarslinger</li> <li>Hyppighed af vandstandsvarslinger</li> <li>10.000 årshændelse stormflod</li> </ul> </li> <li>Alle andre indikatorer fra tidligere udgaver findes også i dette datasæt.</li> </ul> </li> <li>Referenceåret for vandstand er flyttet fra 1990 til 1995, der giver en mindre afvigelse på tværs af alle hav målestationer på cirka 2 cm.</li> <li>Tilføjelse af to nye klimamodel datasæt for maksimum og minimum dagstemperatur. Alle relevante indikatorer er blevet genberegnet med den udvidet ensemble.</li> </ul> <p>Datasættet indeholder de følgende elementer:</p> <ul> <li><strong>DMI_Klimaatlas_v2024b_Danmark_rapport.pdf</strong> – Klimaatlas rapport som giver et overblik over klimaforandring i Danmark.</li> <li><strong>DMI_Klimaatlas_v2024b_Alle_indikator.xlsx</strong> – Microsoft Excel regneark med alle Klimaatlas indikatorer.</li> <li><strong>DMI_Klimaatlas_v2024b_Excel_regnearker.zip</strong> - Microsoft Excel-regneark med indikatorer opdelt efter kommuner, vandopleande eller kystrækninger.</li> <li><strong>DMI_Klimaatlas_v2024b_Kommune_rapporter.zip</strong> - PDF rapporter om klimaforandringer i alle 98 kommuner i Danmark.</li> <li><strong>DMI_Klimaatlas_v2024b_NetCDF_indicators.zip</strong> – Indikatorer på en 1km gitter over Danmark i NetCDF format.</li> <li><strong>DMI_Klimaatlas_v2024b_Udvidet_havniveau.xlsx</strong> – Udvidet havniveau datasæt til ekspertbrugere som har behov for en højere tidsopløsning, længere tidsdækning og eller andre scenarier for havniveaustigning.</li> <li><strong>DMI_Report_24_12.pdf</strong> - " Methods used in Klimaatlas, the Danish Climate Atlas (v2024b) ", tekniske rapport som beskriver hvordan Klimaatlas data beregnes (på engelsk).</li> </ul> <p>----</p> <p><strong>DMI Klimaatlas v2024b - Projections of climate indicators in Denmark</strong></p> <p>DMI’s <em>Klimaatlas</em> provides data for the future Danish climate. Klimaatlas is based on DMI's own data, international collaborations and knowledge from reports by the Intergovernmental Panel on Climate Change (IPCC). Funding comes from the Danish Finance Act 2018 and 2022. Climate indicators are calculated and compiled for all of Denmark, municipalities, all water basins (catchment areas) and coastlines, on a high-resolution grid (1x1 km).</p> <p>This update includes:</p> <ul> <li>All sea level and storm-surge indicators have been updated in line with the latest version of the Danish Coastal Authority’s “<em>Højvandsstatistikkerne” </em>from July 2024, revised 5<sup>th</sup> November 2024.</li> <li>Addition of two new SSP emissions scenarios, SSP1-1.9 and SSP3-7.0, for sea level and storm surge indicators.</li> <li>Changes in indicators: <ul> <li><strong>Addition of 1 indicator</strong> <ul> <li>Frequency of current 100-year storm surge event</li> </ul> </li> <li><strong>Removal of 3 indicators</strong> <ul> <li>Total duration of high-water warnings</li> <li>Frequency of high-water warnings</li> <li>Height of a 10 000 year storm surge event</li> </ul> </li> <li>All other indicators from previous versions can also be found in this dataset.</li> </ul> </li> <li>The reference year for sea level is moved from 1990 to 1995, giving a minor shift across all stations of around 2cm.</li> <li>Addition of two new climate models to the dataset for the maximum and minimum daily temperatures. All relevant indicators have been recalculated with the expanded ensemble.</li> </ul> <p>The dataset consists of the following elements:</p> <ul> <li><strong>DMI_Klimaatlas_v2024b_Danmark_rapport.pdf</strong> – <em>Klimaatlas</em> report describing the effects of climate change in Denmark (in Danish)</li> <li><strong>DMI_Klimaatlas_v2024b_Alle_indikator.xlsx</strong> – Microsoft Excel spreadsheet with all <em>Klimaatlas</em> indicators (in Danish).</li> <li><strong>DMI_Klimaatlas_v2024b_ Excel_regnearker.zip</strong> - Microsoft Excel spreadsheet with indicators divided by municipalities ("<em>Kommune</em>"), coastal stretches ("<em>Kyststrækninger</em>") and drainages ("<em>Vandoplande</em>") (in Danish).</li> <li><strong>DMI_Klimaatlas_v2024b_Kommune_rapporter.zip</strong> - PDF report summarising the findings of <em>Klimaatlas</em> for each of the 98 municipalities in Denmark (in Danish).</li> <li><strong>DMI_Klimaatlas_v2024b_NetCDF_indicators.zip</strong> – Indicators on a 1km grid over Denmark in the NetCDF format (in Danish).</li> <li><strong>DMI_Klimaatlas_v2024b_Udvidet_havniveau.xlsx</strong> – Extended sea level rise dataset for expert uses that have a need for a higher time resolution, longer time coverage or other climate scenarios for sea level rise (in Danish).</li> <li><strong>DMI_Report_24_12.pdf</strong> - " Methods used in Klimaatlas, the Danish Climate Atlas (v2024b)", technical report describing the methods used in generating <em>Klimaatlas</em> data</li> </ul>
Corticospinal and corticoreticulospinal projections have discrete but complementary roles in chronic motor behaviors after stroke: Data
<p>Supplemental data of the paper: Corticospinal and corticoreticulospinal projections have discrete but complementary roles in chronic motor behaviors after stroke.</p> <p>This dataset contains the individual raw data for healthy (H) and stroke (S) subjects.</p>
End of century temperature and precipitation projections (SSP2-4.5 and SSP5-8.5) for 490 grape-growing regions
<p>Spreadsheet with data (mean maximum temperature, mean minimum temperature and precipitation) extracted from WorldClim 2.1 maps (https://www.worldclim.org/) for the location of each grape-growing region, for each month of the year, for the 5 time periods and the projections SSP2-4.5 and SSP5-8.5.</p> <p>This dataset supports the figures created for the review published in Journal of Experimental Botany entitled: </p> <p><strong><span>Toward understanding grapevine responses to climate change: a multistress and holistic approach.</span></strong></p> <p><span><a href="mailto:johannml@unav.es"><span><span>Johann Martínez</span></span></a><a href="mailto:johannml@unav.es"><span><span>-</span></span></a><a href="mailto:johannml@unav.es"><span><span>Lüscher</span></span></a></span><span>*<sup>1</sup>, José Tomás Matus<sup>2</sup>, Eric Gom</span><span>è<span>s<sup>3</sup>, Inmaculada Pascual<sup>1</sup></span></span></p> <p><sup><span>2 </span></sup><span>Institute for Integrative Systems Biology (I2SysBio), Universitat de València-CSIC, 46980 Paterna, Valencia, Spain.</span></p> <p><sup><span>3 </span></sup><span>EGFV, Université de Bordeaux, Bordeaux Sciences Agro, INRAE, ISVV, F-33882 Villenave d’Ornon, France</span></p> <p><span>*Corresponding author’s email: </span><span><a href="mailto:johannml@unav.es"><span>johannml@unav.es</span></a></span></p> <p> </p> <p> </p>
ASTERIx-CAESar project video
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OpenFE 2024 Industry Benchmarking Project, Results from Merck hif2a
<p>OpenFE 2024 Industry Benchmarking Project, Results from systems merck set hif2a. OpenFE version v1.0.1. Simulation details can be found in the GitHub repository https://github.com/OpenFreeEnergy/IndustryBenchmarks2024</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.