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24 results for “reference condition”
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>
Рис. 2. Распредение биомассы Mytilus trossulus septentrionalis на литорали дальневоcточных морей России. Здесь и далее на гистограммах по оси абцисс после географических пунктов в скобках укаЗана выборка (число иЗученных проб), по оси ординат – максимальные ЗначениЯ биомассы вида. Под Значением биомассы 0.1 г/м² подраЗумеваютсЯ качественные пробы. СокраЩениЯ (бмп) и (топ) оЗначают соответственно беринговоморское и тихоокеанское побережьЯ Восточной Камчатки. Побережье Зал. Петра Великого от устьЯ р. Туманной к северу до м. Поворотного условно отноcитсЯ к южному Приморью; побережье к северу от м. Поворотного (пос. Преображение, б. СоколовскаЯ) до б. Ольга, включительно, условно относитсЯ к среднему Приморью; побережье к северу от б. Ольга до м. Белкина и материковое побережье Татарского пролива относим к северному Приморью. Fig. 2. The distribution of biomass of Mytilus trossulus septentrionalis in the intertidal zone of the Far Eastern seas of Russia. Here and throughout on histograms, on the abcissa is the number of studied samples (numbers in parentheses following the names geographic localities), on the ordinate is the maximum biomass of species. The number 0.1 g wet wt m-2 means the qualitative samples. Abbreviations (bmp) and (top) mean the Bering Sea coast and the Pacific coast of eastern Kamchatka. The coast of Peter the Great Bay from the mouth of the Tumannaya River to Cape Povorotny is conditionally referred to as southern Primorye; the area north of Cape Povorotny (Preobrazhenie Settlement, Sokolovskaya Bay) to Olga Bay inclusive is conditionally referred to as middle Primorye; north of Olga Bay to Cape Belkin and the mainland coast of the Tatar Strait to as northern Primorye. in Bivalve mollusks of the intertidal zone of the Far Eastern seas of Russia
Рис. 2. Распредение биомассы Mytilus trossulus septentrionalis на литорали дальневоcточных морей России. Здесь и далее на гистограммах по оси абцисс после географических пунктов в скобках укаЗана выборка (число иЗученных проб), по оси ординат – максимальные ЗначениЯ биомассы вида. Под Значением биомассы 0.1 г/м² подраЗумеваютсЯ качественные пробы. СокраЩениЯ (бмп) и (топ) оЗначают соответственно беринговоморское и тихоокеанское побережьЯ Восточной Камчатки. Побережье Зал. Петра Великого от устьЯ р. Туманной к северу до м. Поворотного условно отноcитсЯ к южному Приморью; побережье к северу от м. Поворотного (пос. Преображение, б. СоколовскаЯ) до б. Ольга, включительно, условно относитсЯ к среднему Приморью; побережье к северу от б. Ольга до м. Белкина и материковое побережье Татарского пролива относим к северному Приморью. Fig. 2. The distribution of biomass of Mytilus trossulus septentrionalis in the intertidal zone of the Far Eastern seas of Russia. Here and throughout on histograms, on the abcissa is the number of studied samples (numbers in parentheses following the names geographic localities), on the ordinate is the maximum biomass of species. The number 0.1 g wet wt m-2 means the qualitative samples. Abbreviations (bmp) and (top) mean the Bering Sea coast and the Pacific coast of eastern Kamchatka. The coast of Peter the Great Bay from the mouth of the Tumannaya River to Cape Povorotny is conditionally referred to as southern Primorye; the area north of Cape Povorotny (Preobrazhenie Settlement, Sokolovskaya Bay) to Olga Bay inclusive is conditionally referred to as middle Primorye; north of Olga Bay to Cape Belkin and the mainland coast of the Tatar Strait to as northern Primorye.
RMLStreamer with Reference Conditions in the KGCW Challenge 2023
<p>This repository contains all necessary data to reproduce the participation of RMLStreamer with reference conditions in the <a href="https://doi.org/10.5281/zenodo.7689310">KGCW 2023 Challenge</a>, as well as the reported results.</p> <p>For more information we refer to the related paper:</p> <p><em>E. de Vleeschauwer, G.Haesendonck, D. Van Assche. B. De Meester, RMLStreamer with Reference Conditions in the<br> KGCW Challenge 2023, in: Proceedings of the 4rd International Workshop on Knowledge Graph Construction (KGCW 2023) co-located with 20th Extended Semantic Web Conference (ESWC 2023), 2023</em></p> <p> </p> <p> </p> <p> </p>
Data from: The Drosophila Genetic Reference Panel (DGRP) on locomotor activity across different environmental conditions
<p>In nature, organisms are exposed to variable and occasionally stressful environmental conditions. Responses to diurnal and seasonal fluctuations, such as temperature and food accessibility, involve adaptive behavioral and physiological changes. While much work has been done on understanding the genetic architecture and evolutionary potential of stress tolerance traits under constant thermal conditions, there has been less focus on the quantitative genetic background in variable environments. In this study, we use the <em>Drosophila</em> Genetic Reference Panel (DGRP) to investigate locomotor activity, a key behavioral trait, under variable natural thermal conditions during the summer in a temperate environment. Male flies from 100 DGRP lines were exposed to natural thermal and light conditions in <em>Drosophila</em> activity monitors across three experimental days. We found that activity was highly temperature- and time-dependent and varied between lines both within and between days. Further, we observed variation in genetic and environmental variance components, with low to moderate estimates of the heritability for locomotor activity, consistently peaking in the afternoons. Moreover, we showed that the estimated genetic correlations of locomotor activity between two time points decreased as the absolute differences in ambient temperature was increased. In conclusion, we find that the genetic background for locomotor activity is environment specific and we conclude that more variable and unpredictable future temperatures will likely have a strong impact on the evolutionary trajectories of behavioral traits in ectotherms.</p>
Onload Tap Changer reference voltage Dataset at different loading condition
<p>The dataset contain the reference voltage of onload tap changer (OLTC) at different loading condition for a month. In addition, the hourly voltages of the feeders regulated by the OLTC are present in the dataset at the corresponding loading conditions</p>
Data from: The Drosophila Genetic Reference Panel (DGRP) on locomotor activity across different environmental conditions
Open the record for dataset details and reuse information.
Bathymetric and terrain digital model (representative of the geomorphological reference condition) of the river-floodplain system corresponding to the Douro reach between Toro and Zamora (Castilla y León).
<p>Digitally edited digital model to represent the previous geomorphological situation in the Toro-Zamora section.</p>
Genomic reference data for calculating conditional & conjuncational false discovery rates with cfdr.pleio
<p><strong>Background</strong></p> <p>This data set provides genomic reference information extracted from the 1000 Genomes Project for calculating conditional and conjunctional false discovery rates for genetic variants that are pleiotropic for pairs of phenotypes.</p> <ol> <li>genref.zip is preprocessed information that can be directly used with the R package cfdr.pleio, available from github<br> </li> <li>genref_rawdata.zip contains raw data downloaded from the 1000 Genome projects. You only need to download this if you want to re-create or modify the preprocessed reference data from above. The original code for creating the preprocessed data is available from github.</li> </ol> <p><strong>Usage </strong></p> <p>See the instructions at the two named github repositories for details.</p> <p><strong>Credit</strong></p> <p>The code for generating the preprocessed reference data as well as some auxiliary information were forked from the MATLAB package <a href="https://github.com/precimed/pleiofdr">pleiofdr</a></p> <p>The original concept of the conditional and conjunctional FDR were described in <a href="https://doi.org/10.1371/journal.pgen.1003455">Andreassen et al. (2013)</a>. For a recent overview of methods and applications, see <a href="https://doi.org/10.1007/s00439-019-02060-2">Smeland et al. (2019).</a></p> <p> </p>
Bertalanffy's growth curves of A. anatina duck mussels in 18 Polish lakes with reference to living conditions
<p>1. Post-maturation growth leading to indeterminate growth patterns is widespread in nature. However, its adaptive value is unclear. Life history theory suggests this allocation strategy may be favoured by temporal pulses in the intensity of mortality and/or the capacity to produce new tissues.</p> <p>2. Addressing the origin of indeterminate growth and the variability of growth patterns, we studied the growth of duck mussels, <i>Anodonta anatina</i>, a pan-European unionid, in 18 Polish lakes. For each population the sex, size and age of collected mussels were measured to estimate Bertalanffy's growth curve parameters. We integrated information on <i>A. anatina</i> mortality rates, lake trophy, biofouling by zebra mussels, <i>Dreissena polymorpha</i>, and the prevalence of parasitic trematode larvae to identify selective conditions in lakes.</p> <p>3. We found two sources of mortality in <i>A. anatina</i> populations, pertaining to adverse effects of zebra mussel biofouling and trophy state on mussel survival. Additionally, populations with heavier biofouling presented a smaller abundance of parasites, indicative of a relationship between filtering intensity and contraction of water-borne trematode larvae by filtering <i>A. anatina</i>.</p> <p>4. Consistently for each sex, populations with a greater trophy-related mortality were characterized in <i>A. anatina</i> by a smaller asymptotic size <i>L<sub>max</sub></i>, indicative of a life history response to mortality risk involving early maturation at a smaller body size. In all populations, females featured higher mortality and larger asymptotic size <i>vs.</i> males.</p> <p>5. Our findings support a theoretical view that adaptive responses to selection involve adjustments in the lifetime resource allocation patterns. These adjustments should be considered drivers of the origin of indeterminate growth strategy in species taking parental care by offspring brooding in body cavities.</p>
Bioequivalence Study Between GSK3542503 Hydrochlorothiazide + Amiloride Hydrochloride 50 mg: 5 mg Tablets and Reference Product in Healthy Adult Participants Under Fasting Conditions
ClinicalTrials.gov study NCT03031496. IPD Sharing: YES. Countries: 1. Publications: 0.
Bioequivalence (BE) Study of Test Griseofulvin 500 Milligram (mg) Tablets Versus Reference and Dose Proportionality Study of Test Griseofulvin 250 mg and 500 mg Tablets Under Fed Conditions
ClinicalTrials.gov study NCT04318535. IPD Sharing: YES. Countries: 1. Publications: 0.
Bertalanffy's growth curves of A. anatina duck mussels in 18 Polish lakes with reference to living conditions
Open the record for dataset details and reuse information.
Dissecting transcriptional responses of nucleolin mutants to red light stimulation and darkness in ground reference conditions
Understanding plant adaptive responses to the space environment is a requisite for enabling space farming. Spaceflight produce deleterious effects on plant cells particularly affecting ribosome biogenesis a complex stress-sensitive process coordinated with cell division and differentiation known to be activated by red light. Here we have used mutants from the two nucleolin genes in Arabidopsis (NUC1 and NUC2) encoding the main regulator of the ribosome biogenesis in the nucleolus in order to better understand their role in adaptive response mechanisms to stress. Thus we show that nucleolin stress-related gene NUC2 can compensate the environmental stress provided by darkness in nuc1 plants while nuc2 plants are not able to provide a complete response to red light. These ground control findings as part of the ESA/NASA Seedling Growth spaceflight experiments will determine the basis for the identification of a genetic background enabling an adaptive advantage for plants in future space experiments.
Comparing the Transcriptomes of Wild Type (WT) and Gdf9-Cre or Zp3-Cre mediated Mtor Oocyte-Conditional Knockout (referred to as MG and MZ, respectively) Mouse GV-stage fully-grown oocytes (FGO) by RN
GEO Series GSE114126. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Data on deviation from reference condition of southern Canadian lakes (2017-2019) and additive color map comparing lake state, threats and recreational use
<p>This dataset accompanies the paper Dupont et al. (2023) published in <em>Facets </em>on the social-ecological geography of southern Canadian Lakes.</p> <p>For abbreviations in the deviation_lakePulse.csv, see the paper available at <a href="https://doi.org/10.1139/facets-2023-0025">https://doi.org/10.1139/facets-2023-0025</a></p> <p>Additionally, "dev" stand for deviation and "t" at the end of variable name indicate the data was transform prior to computation of deviation.</p> <p>The Composite_mask_TNCl.tif is the additive color model with band 1 (red) depicting threat levels, band 2 (green) lake state, and band 3 (blue) recreational use.</p> <p> </p>
Bioequivalence Study of Test and Reference Testosterone Topical Gel, 1.62% Metered Pump in Testosterone Deficient Adult Male Subjects Under Fasting Conditions
ClinicalTrials.gov study NCT02110368. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Bioavailability of Duloxetine 60 mg With Regards to Reference Product in Feeding Conditions
ClinicalTrials.gov study NCT04751318. IPD Sharing: NO. Countries: 1. Publications: 0.
A Comparative Bioavailability Study of Tamsulosin 0.4 mg Prolonged-release Tablets Versus the Reference Drug Omnic Ocas®, Tamsulosin 0.4 mg Tablets, in Healthy Adult Male Subjects, Under Fed Condition
ClinicalTrials.gov study NCT07091669. IPD Sharing: NO. Countries: 1. Publications: 0.
Bioavailability of Duloxetine 60 mg With Regards to Reference Product in Fasting Conditions
ClinicalTrials.gov study NCT04723238. IPD Sharing: NO. Countries: 1. Publications: 0.
A Trial to Assess the Bioequivalence of Generic Tiotropium Bromide Inhalation Powder and Reference Product in Healthy Adult Participants Under Fasting Conditions (Pilot)
ClinicalTrials.gov study NCT06326671. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.