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42 results for “site conditions”
Reference site conditions for floating wind arrays: dataset of reference sites
<h1>IEA Task 49: Integrated Design of Floating Wind Arrays</h1> <h3>This dataset contains atmospheric and oceanographic data of 11 locations around the globe of future floating offshore wind farms.<br>Each dataset was used to perform a metocean analysis for preliminary design, published in the Work Package 1 Report of IEA Task 49.</h3> <div> <div> <div><a name="_msocom_1"></a></div> </div> </div> <table> <tbody> <tr> <td><strong>4COffshore ID</strong></td> <td><strong>Name</strong></td> <td><strong>Latitude [deg]</strong></td> <td><strong>Longitude [deg]</strong></td> <td><strong>Water Depth [m] (GEBCO)</strong></td> <td><strong>Distance from shore [m]</strong></td> <td><strong>Country</strong></td> <td><strong>Dataset curated by</strong></td> </tr> <tr> <td>IT95 </td> <td>Hannibal </td> <td> <div>37.842</div> </td> <td> <div>12.0722</div> </td> <td> <div> -353</div> </td> <td> <div> 35</div> </td> <td>Italy </td> <td>RSE</td> </tr> <tr> <td>US0W </td> <td> Humboldt</td> <td> <div> 40.928</div> </td> <td> <div>-124.708</div> </td> <td> <div> -707</div> </td> <td> <div> 43.8</div> </td> <td>USA</td> <td>NREL</td> </tr> <tr> <td>KR0R </td> <td>Ulsan </td> <td> <div> 35.449</div> </td> <td> <div> 129.949</div> </td> <td> <div> -188</div> </td> <td> <div> 32</div> </td> <td>South Korea </td> <td>UOU</td> </tr> <tr> <td>IE34 </td> <td>Moneypoint One</td> <td> <div> 52.519</div> </td> <td> <div>-10.276</div> </td> <td> <div> -1<a>02</a> </div> </td> <td> <div> 23.4</div> </td> <td>Ireland </td> <td>GDG</td> </tr> <tr> <td>UK6L </td> <td>Havbredey </td> <td> <div>58.862</div> </td> <td> <div> <div> <p>-5.54</p> </div> </div> </td> <td> <div> <div> <p> -91</p> </div> </div> </td> <td> <div> <div> <p> 41.6</p> </div> </div> </td> <td>Scotland </td> <td>DHI</td> </tr> <tr> <td>JP06 </td> <td>Fukushima</td> <td> <div>37.311</div> </td> <td> <div>141.251</div> </td> <td> <div> -90</div> </td> <td> <div> 19.4</div> </td> <td>Japan </td> <td>AIT</td> </tr> <tr> <td>NO44 </td> <td>Utsira nord<strong>*</strong></td> <td> <div>59.276</div> </td> <td> <div>4.541</div> </td> <td> <div> -273</div> </td> <td> <div> 42.4</div> </td> <td>Norway </td> <td>4subsea / UiS,UiB*</td> </tr> <tr> <td>USZ3 </td> <td>Gulf of Maine</td> <td> <div>43.25</div> </td> <td> <div>-69.5</div> </td> <td> <div> -148</div> </td> <td> <div> 138</div> </td> <td>USA </td> <td>NREL</td> </tr> <tr> <td>KR88 </td> <td>Geomundo<strong>**</strong></td> <td> <div>34.039</div> </td> <td> <div>126.901</div> </td> <td> <div> -70</div> </td> <td> <div> 47</div> </td> <td>South Korea </td> <td>IAE**</td> </tr> <tr> <td>FR87 </td> <td>Sud de la Bretagne II</td> <td> <div>47.325</div> </td> <td> <div>-3.659</div> </td> <td> <div> -94</div> </td> <td> <div> 30.7</div> </td> <td>France </td> <td>UiB</td> </tr> <tr> <td>NO66</td> <td>Sørlige Nordsjø II<strong>***</strong></td> <td> <div> 56.78 </div> </td> <td> <div> 4.92 </div> </td> <td> <div> -60</div> </td> <td> <div> 180</div> </td> <td>Norway</td> <td>4subsea / UiS,UiB***</td> </tr> </tbody> </table> <p>* Suplementary dataset published at: https://doi.org/10.5281/zenodo.10048048</p> <p>** Dataset is confidential, for details of usage reach out to the contact person.</p> <p>*** Suplementary dataset published at: https://doi.org/10.5281/zenodo.7057407</p>
STORM Project: monitoring environment conditions at Baths of Diocletian site (Rome, Italy). Dataset 2018 - 2019
<p>This dataset was created by the Engineering Ingegneria Informatica S.p.A. through a set of prototypes based on Libelium Waspmote for collecting the following parameters: </p> <ul> <li>Climate parameters (Temperature, Relative Humidity, Barometric Pressure, Luminosity, Wind direction/speed and Rainfull) using a Libelim PlugAndSense Agricolture Pro;</li> <li>Environmental Parameters (Monoxide Carbon, Oxigen, Air Polluction, Volatile Organic Compounds VOC, Carbon Dioxide, Nitric Dioxide , Hydrogen Sulfide, Sulfure Dioxide and Particle Matter PM 1, 2.5 and 10) using two nodes: PlugAndSense Smart Cities Pro and Waspmote with gases sensor board;</li> <li>Acoustic Noise Sensor and Vibrations with accelerometer, using a prototype based on Libelium Waspmote.</li> </ul> <p>The data produced by the sensors were acquired and sent to the Meshlium (mini-pc linux based) which automatically saved and sent to the STORM Platform. The dataset is composed of the data obtained from February 2018 to March 2019.</p> <p>STORM (Safeguarding Cultural Heritage through Technical and Organisational Resources Management) is a HORIZON 2020 funded European Union Cultural Heritage project that aims at the protection of Cultural Heritage through a combination of technical and organizational resources (http://www.storm-project.eu).</p>
Apulian Aqueduct demo site: daily time series of simulated system behavior for future inflows conditions (RCP4.5)
<p>This dataset contains the daily time series obtained from the strategic model simulation, considering net estimated inflows (natural springs and main reservoirs of Apulian aqueduct - demo site 1) considering climate projection RCP 4.5 and two decades, in the medium (2050-2059) and long-term future (2090-2099). In all simulations, a modified version of the drinking water demand is considered, following a different distribution of the populations, an increase in density in coastal areas also due to investments in the tourism sector, to the detriment of density in inland areas.</p> <p>For each decade, two simulations are performed, with or without the rehabilitation of some well-fields making the water withdrawn drinkable with innovative purification techniques.</p> <p>. More precisely, the dataset contains:</p> <ul> <li>the daily level of the main reservoirs;</li> <li>the water supplied to all users (drinking water users, irrigation, and industrial districts) from each reservoir;</li> <li>the corresponding single irrigation and industrial deficit;</li> <li>the total drinking water deficit;</li> <li>the aggregated distribution cost.</li> </ul> <p>Two simulations are performed, with or without the environmental flow constraint acting on each reservoir release activated.</p> <ul> <li>Temporal coverage: 2050-2059; 2090-2099</li> <li>Spatial coverage: <ul> <li>Springs: Sele, Calore;</li> <li>Reservoirs: Conza, Locone, Monte Cotugno, Occhito, Pertusillo;</li> <li>Users: drinking water users, irrigation, and industrial districts supplied by Apulian aqueduct.</li> </ul> </li> <li>Unit of measure: <em>m</em>, <em>m3/s</em> depending on the variable</li> </ul> <p>More information and details on the content of this dataset can be found in Project Ô <a href="https://zenodo.org/record/7576611">Deliverable D4.4</a>.</p>
Apulian Aqueduct demo site: daily time series of simulated system behavior for baseline inflows conditions
<p>This dataset contains the daily time series obtained from the strategic model simulation, considering baseline inflows conditions (natural springs and main reservoirs of Apulian aqueduct - demo site 1). More precisely, the dataset contains:</p> <ul> <li>the daily level of the main reservoirs;</li> <li>the water supplied to all users (drinking water users, irrigation, and industrial districts) from each reservoir;</li> <li>the corresponding single irrigation and industrial deficit;</li> <li>the total drinking water deficit;</li> <li>the aggregated distribution cost.</li> </ul> <p>Two simulations are performed, with or without the environmental flow constraint acting on each reservoir release activated.</p> <ul> <li>Temporal coverage: 2010-2019</li> <li>Spatial coverage: <ul> <li>Springs: Sele, Calore;</li> <li>Reservoirs: Conza, Locone, Monte Cotugno, Occhito, Pertusillo;</li> <li>Users: drinking water users, irrigation, and industrial districts supplied by Apulian aqueduct.</li> </ul> </li> <li>Unit of measure: <em>m</em>, <em>m3/s</em> depending on the variable</li> </ul> <p>More information and details on the content of this dataset can be found in Project Ô <a href="https://zenodo.org/record/7576611">Deliverable D4.4</a>.</p>
The nature of extraframework aluminum species and Brønsted acid site interactions under catalytic operating conditions
<p>This dataset contains example VASP and CP2K input files with VASP optimized strucure files in cif format and xyz trajectories for ab-initio molecular dynamics simulations performed on extraframework aluminum species in H-ZSM-5 unit cells.</p>
Researcher effects on the biological structure and edaphic conditions of field sites and implications for management
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Data from: Management inputs, site conditions, and fire history shape outcomes of invasive plant control and native recovery
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Intrinsic biotic factors and micro-site conditions drive seedling survival in a species with masting reproduction
<p><span>1. Seedling recruitment following a masting event, where more fruits are produced in synchrony and intermittently compared to other species, plays a crucial role in determining species diversity and community structure. Such seedling recruitment can be super-abundant, but followed by high mortality shortly thereafter. Differences in biotic factors such seedling characteristics, competition and herbivory, and micro-site specific abiotic factors could determine seedling fate in space and time. </span></p> <p><span>2. In a subtropical forest in south China, for two years using censuses conducted every one to two months, we monitored 40 seed traps and 120, 1 m<sup>2</sup> quadrats in five 1-hectare plots located from 1400 m to 1850 m asl for the masting maple species, <i>Acer campbellii </i>subsp.<i> sinense </i>(Pax) P.C.DeJong . We measured biotic – conspecific and heterospecific seedling density, species richness, herbivory, seedling height and leaf number – and abiotic – canopy openness, slope, and aspect – factors to assess drivers of seedling survival and evaluated <i>A. campbellii </i>subsp.<i> sinense </i>presence in the soil seed bank (SSB).</span></p> <p><span>3. The masting seed dispersal peak and seedling emergence peak occurred between October 2017 and January 2018, and May 2018, respectively. Of 688 selected seedlings, mortality was 92.7% within one year. No seeds were observed in the SSB. Seedling height and leaf number positively affected seedling survival, while seed placement as measured by aspect also showed effects on survival. Conspecific and heterospecific density and herbivory did not show any clear effect. Higher probabilities of seedling survival were found in areas with larger canopy openness (≥ 12% canopy gap size) and in steeper micro-sites (≥ 35°). </span></p> <p><span>4. <i>Synthesis</i>. Masting is mainly studied as a population level phenomenon from the fruiting tree perspective. Our study of individual seedling fate revealed that intrinsic biotic factors and seed placement were key drivers of survival. Although biotic determinants such as competition from conspecifics or heterospecifics or herbivory did not determine survival, their ubiquitous presence may be an underlying equalizer in community dynamics where seedlings that overcome biotic pressures, if placed at the right micro-site, are at better odds at being recruited to the next life history stages. </span></p>
Data from: Tree-to-tree competition in mixed European beech-Scots pine forests has different impacts on growth and water-use efficiency depending on site conditions
1. Mixed conifer-hardwood forests can be more productive than pure forests and they are increasingly considered as ecosystems that could provide adaptation strategies in the face of global change. However, the combined effects of tree-to-tree competition, rising atmospheric CO2 concentrations and climate on such mixtures remain poorly characterized and understood. 2. To fill this research gap, we reconstructed 34-year series (1980-2013) of growth (basal area increment, BAI) and intrinsic water-use efficiency (iWUE) of Scots pine (Pinus sylvestris L.) – European beech (Fagus sylvatica L.) mixed stands at two climatically contrasting sites located in the southwestern Pyrenees. We also gathered data on tree-to-tree competition and climate variables in order to test the hypotheses that (i) radial growth will be greater when inter-specific competition exceeds intra-specific competition, i.e. when species complementarity occurs, and (ii) enhanced iWUE could be linked to improved stem radial growth. 3. Growth of both species was reduced when intra-specific competition increased. Species complementarity was linked to improved growth of Scots pine at the continental site, whilst competition overrode any complementarity advantage at the drought-prone Mediterranean site. Beech growth did not show any significant response to pine admixture likely due to shade tolerance and the highly competitive nature of this species. Increasing inter-specific competition drove recent iWUE changes, which increased in Scots pine but decreased in European beech. The iWUE enhancement did not involve any growth improvement in Scots pine. However, the positive BAI-iWUE relationship found for beech suggests an enhanced beech growth in drought-prone sites due to improved water use. 4. Synthesis. Complementarity may enhance growth in mixed forests. However, water scarcity can constrict light-related complementarity for shade intolerant species (Scots pine) in drought-prone sites. BAI-iWUE relationships were negative for Scots pine and positive for European beech. These contrasting behaviours have got implications for coping with the expected increasing drought events in Scots pine-European beech mixtures located near the ecological limit of the two species. Complementarity effects between tree species should be considered to avoid overestimating the degree of future carbon uptake by mixed conifer-broadleaf forests.
Data from: Leaf trait variability between and within subalpine grassland species differs depending on site conditions and herbivory
Plant traits are commonly used to predict ecosystem-level processes, but the validity of such predictions is dependent on the assumption that trait variability between species is greater than trait variability within a speciesthe robustness assumption. Here, we compare leaf trait intraspecific and interspecific variability depending on: geographical differences between sites, and five years of experimental herbivore exclusion in two vegetation types of subalpine grasslands in Switzerland. Four-leaf traits were measured from eight herbaceous species common to all 18 sites. Intraspecific trait variability differed significantly depending on site and herbivory. However, the amount and structure of variability depended on the trait measured and whether considering leaf traits separately or multiple leaf traits simultaneously. Leaf phosphorus (P) concentration showed the highest intraspecific variability, while specific leaf area (SLA) showed the highest interspecific variability and displayed intraspecific variability only in response to herbivore exclusion. Species identity based on multiple traits was not predictable. We find intraspecific variability is an essential consideration when using plant functional traits as a common currency not just species mean traits. This is particularly true for leaf nutrient concentrations, which showed high intraspecific variability in response to site differences and herbivore exclusion; a finding which suggests that the robustness assumption does not always hold.
Data from: Timing of spring departure of long distance migrants correlates with previous year's conditions at their breeding site
<p>Precise timing of the migration is crucial for animals targeting seasonal resources at locations encountered across their annual cycle. Upon departure, long distance migrants need to anticipate unknown environmental conditions at their arrival site, and they do zkzdsxso with their internal annual clock. Here, we tested the hypothesis that long distance migrants synchronize their circannual clock according to the phenology of their environment during the breeding season, and therefore adjust their spring departure date according to the conditions encountered at their breeding site the year before. To this end, we used tracking data of Eurasian curlews from different locations and combined movement data with satellite-extracted green-up dates at their breeding site. Spring departure date was better explained by green-up date of the previous year, while arrival date at the breeding site was better explained by latitude and longitude of the breeding site, suggesting that other factors impacted migration timing <i>en route</i>. On a broader temporal scale, our results suggest that long distance migrants may be able to adjust their migration timing to advancing spring dates in the context of climate change. </p>
Recipient Site Pre-conditioning in Fat Grafting
ClinicalTrials.gov study NCT03393598. IPD Sharing: Not stated. Countries: 1. Publications: 0.
User Site Testing Study to Evaluate Usability of the Q300™ Device Under "Real-life Conditions" in a Reproductive Laboratory Environment Use
ClinicalTrials.gov study NCT06232720. IPD Sharing: NO. Countries: 1. Publications: 2.
Data from: Timing of spring departure of long distance migrants correlates with previous year's conditions at their breeding site
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Data from: Tree-to-tree competition in mixed European beech-Scots pine forests has different impacts on growth and water-use efficiency depending on site conditions
Open the record for dataset details and reuse information.
Data from: Leaf trait variability between and within subalpine grassland species differs depending on site conditions and herbivory
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Intrinsic biotic factors and micro-site conditions drive seedling survival in a species with masting reproduction
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Data and code for: Explainable machine learning revealed the conditional response of biogenic isoprene to the changes in environmental factors at an urban site in the Yangtze River Delta, China
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Figure 1. The sampling sites for capturing C in Influence of environmental variability on the body condition of the mangrove horseshoe crab Carcinoscorpius rotundicauda from Banyuasin Estuarine, South Sumatra, Indonesia
Figure 1. The sampling sites for capturing C. rotundicauda in Banyuasin Estuary Waters. The sampling was conducted together with local fishermen using a trammel net.
Supplementary material 1 from: Pliszko A, Kostrakiewicz-Gierałt K, Makuch-Pietraś I (2023) The effect of site conditions and type of ramet clusters on sexual and asexual ramets of Solidago × niederederi (Asteraceae). NeoBiota 85: 125-143. https://doi.org/10.3897/neobiota.85.98796
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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.