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671 results for “Window”
Data from: Optimising sampling of flying insects using a modified window trap
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Tidal channel meanders serve as stepping-stones to facilitate cordgrass landward spread by creating invasion windows
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Data from: Windows of opportunity for germination of riparian species after restoring water level fluctuations: a field experiment with controlled seed banks
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Data from: Thermoregulatory windows in Darwin's finches
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Data from: Chasing windows of opportunity for habitat formation: spatial and temporal determinants of oyster settlement rates
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Probing the Electrical Double Layer by Operando X-ray Photoelectron Spectroscopy through a Graphene-Carbon Nanotube Composite Window
<p>Supporting information for Molecular Dynamics NAMD 2.0 simulations of BPY1,4-TFSI-Li ionic liquid mixture encased in cuboid graphene box for graphene window double layer calculations presented in submitted manuscript to Eco Mat journal.</p> <p>The files contain new developed parameters for BPY1,3-TFSI force field based on Gaussian09 DFT calculations and relevant PDB and PSF and configuration files for NAMD runs at 0, 1 and 3Volt.</p> <p>Abstract: </p> <p>The electrical double layer is known to spontaneously form at the electrode-electrolyte interface, impacting many important chemical and physical processes as well as applications including electrocatalysis, electroorganic synthesis, nanomaterial preparation, energy storage, and even emulsion stabilization. However, it has been challenging to study this fundamental phenomenon at the molecular level because the electrical double layer is deeply “buried” by the bulk electrolyte solution. Here, we report a quantitative probing of the electrical double layer of ionic liquids from the solid side of a photoelectron-transparent graphene-carbon nanotube hybrid membrane electrode using X-ray photoelectron spectroscopy. The membrane window is ultrathin (~1.5 nm), large (~1 cm<sup>2</sup>), and robust, enabling a tight seal of the electrolyte and quantitative measurement with excellent photoelectron signals. By <em>operando</em>monitoring the population changes of cations and anions in response to the applied electrical potentials, we experimentally resolve the chemical structure and dynamics of the electrical double layer, which corroborate results from molecular dynamics simulations.</p>
Problem instances for scheduling jobs with time windows on unrelated parallel machines
<p>The following dataset contains problem instances for the unrelated machine scheduling problem with job release dates and deadlines, which are used in the article "Tadumadze, G., Emde, S. & Diefenbach, H. Exact and heuristic algorithms for scheduling jobs with time windows on unrelated parallel machines. <em>OR Spectrum</em> <strong>42, </strong>461–497 (2020). <a href="https://doi.org/10.1007/s00291-020-00586-w">https://doi.org/10.1007/s00291-020-00586-w</a>".</p> <p>The problem instances are stored in table “instances”, where the columns of the table can be interpreted as follows:</p> <p>Problem_ID: <Autonumber></p> <p>n: <number of jobs>;</p> <p>m: <number of machines>;</p> <p>w: <vector with n elements: the j-th element corresponds to the weight of job j>;</p> <p>r: <vector with n elements: the j-th element corresponds to the release date of job j>;</p> <p>d: <vector with n elements: the j-th element corresponds to the deadline of job j>;</p> <p>p: <n*m matrix: each entry in j-th column and i-th row corresponds to the processing time of job j on machine i>;</p> <p>The first 80 entries (Problem_ID between 1-80), contain discrete Berth-allocation problem instances, provided by “Jean-François Cordeau, Gilbert Laporte, Pasquale Legato, Luigi Moccia, (2005) Models and Tabu Search Heuristics for the Berth-Allocation Problem. Transportation Science 39(4):526-538. https://doi.org/10.1287/trsc.1050.0120” and additionally contain machine availability times, which are stored in the following columns:</p> <p>s: <vector with m elements: the i-th element corresponds to the start availability time of machine i>;</p> <p>e: <vector with m elements: the i-th element corresponds to the end availability time of machine i>;</p> <p>The following 270 entries (Problem_ID between 81-270) contain newly generated random problem instances with the instance generation scheme proposed by “Nicholas G. Hall, Marc E. Posner, (2001) Generating Experimental Data for Computational Testing with Machine Scheduling Applications. Operations Research 49(6):854-865. https://doi.org/10.1287/opre.49.6.854.10014”. The first 10 instances (Problem_ID between 81-90) are used for parameter tuning tests and the next 180 (Problem_ID between 91-270) instances for computational performance comparison.</p> <p>The last 30 entries (Problem_ID between 271-300) contain integrated truck and workforce scheduling problem instances with fixed workforce at each door, provided by “Giorgi Tadumadze, Nils Boysen, Simon Emde, Felix Weidinger (2019) Integrated truck and workforce scheduling to accelerate the unloading of trucks. European Journal of Operational Research 278(1):343-362. https://doi.org/10.1016/j.ejor.2019.04.024”.</p> <p>The detailed computational results for each instance, approach and objective function are reported in tables which are named with the following convention: "results_<approach>_<objective value>”.</p>
BIDMC Blood Oxygen Saturation Dataset (32 seconds window)
<p>This dataset is part of the Monash, UEA & UCR time series regression repository. <a href="http://tseregression.org/">http://tseregression.org/</a></p> <p><br> The goal of this dataset is to estimate blood oxygen saturation level using PPG and ECG data. This dataset contains 7949 time series obtained from the Physionet's BIDMC PPG and Respiration dataset, which was extracted from the much larger MIMIC II waveform database.<br> <br> Please refer to <a href="https://physionet.org/content/bidmc/1.0.0/">https://physionet.org/content/bidmc/1.0.0/</a> for more details<br> <br> Relevant papers<br> Pimentel, M.A.F. et al. Towards a Robust Estimation of Respiratory Rate from Pulse Oximeters. IEEE Transactions on Biomedical Engineering, 64(8), pp.1914-1923, 2016. [DOI: 10.1109/TBME.2016.2613124](http://doi.org/10.1109/TBME.2016.2613124).<br> <br> Citation request<br> Pimentel, M.A.F. et al. Towards a Robust Estimation of Respiratory Rate from Pulse Oximeters. IEEE Transactions on Biomedical Engineering, 64(8), pp.1914-1923, 2016. [DOI: 10.1109/TBME.2016.2613124](http://doi.org/10.1109/TBME.2016.2613124).<br> Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.</p>
BIDMC Heart Rate Dataset (32 seconds window)
<p>This dataset is part of the Monash, UEA & UCR time series regression repository. <a href="http://tseregression.org/">http://tseregression.org/</a></p> <p><br> The goal of this dataset is to estimate heart rate using PPG and ECG data. This dataset contains 7949 time series obtained from the Physionet's BIDMC PPG and Respiration dataset, which was extracted from the much larger MIMIC II waveform database.<br> <br> Please refer to <a href="https://physionet.org/content/bidmc/1.0.0/">https://physionet.org/content/bidmc/1.0.0/</a> for more details<br> <br> Relevant papers<br> Pimentel, M.A.F. et al. Towards a Robust Estimation of Respiratory Rate from Pulse Oximeters. IEEE Transactions on Biomedical Engineering, 64(8), pp.1914-1923, 2016. [DOI: 10.1109/TBME.2016.2613124](http://doi.org/10.1109/TBME.2016.2613124).<br> <br> Citation request<br> Pimentel, M.A.F. et al. Towards a Robust Estimation of Respiratory Rate from Pulse Oximeters. IEEE Transactions on Biomedical Engineering, 64(8), pp.1914-1923, 2016. [DOI: 10.1109/TBME.2016.2613124](http://doi.org/10.1109/TBME.2016.2613124).<br> Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.</p>
Data from: Predicting bird-window collisions with weather radar
<p>This is the data archive for all recorded bird species and carcass counts used to predict bird window collisions using weather radar in Stillwater, Oklahoma.</p>
Data from: The Electric Honeycomb; an investigation of the Rose window instability
The Rose-window instability is a little-explored electrohydrodynamic instability that manifests when a layer of low-conducting oil is placed in an electric field generated by corona discharge in a point-toplane configuration. Above a critical voltage, the instability starts as a single dimple in the oil layer right below the point electrode and subsequently evolves into a characteristic pattern of polygonal cells. In this study we experimentally explore governing parameters that guide the instability and document geometric attributes of the characteristic cellular pattern. The driving force for the instability has been attributed to the buildup of charged ions which in-turn apply an electric pressure on the oil surface. We confirm the charged surface distribution using thermal imaging and demonstrate that the instability can be locally inhibited by preventing charge buildup under an ion shadow.
Data from: Critical disease windows shaped by stress exposure alter allocation trade-offs between development and immunity
1. Ubiquitous environmental stressors are often thought to alter animal susceptibility to pathogens and contribute to disease emergence. However, duration of exposure to a stressor is likely critical, because while chronic stress is often immunosuppressive, acute stress can temporarily enhance immune function. Furthermore, host susceptibility to stress and disease often varies with ontogeny; increasing during critical developmental windows. How the duration and timing of exposure to stressors interact to shape critical windows and influence disease processes is not well tested. 2. We used ranaviruses and larval amphibians as a model system to investigate how physiological stress and pathogenic infection shape development and disease dynamics in vertebrates. Based on a resource allocation model, we designed experiments to test how exposure to stressors may induce resource trade-offs that shape critical windows and disease processes because the neuroendocrine stress axis coordinates developmental remodeling, immune function, and energy allocation in larval amphibians. 3. We used wood frog larvae (Lithobates sylvaticus) to investigate how chronic and acute exposure to corticosterone, the dominant amphibian glucocorticoid hormone, mediates development and immune function via splenocyte immunohistochemistry analysis in association with ranavirus infection. 4. Corticosterone treatments affected immune function, as both chronic and acute exposure suppressed splenocyte proliferation, although viral replication rate increased only in the chronic corticosterone treatment. 5. Time to metamorphosis and survival depended on both corticosterone treatment and infection status. In the control and chronic corticosterone treatments, ranavirus infection decreased survival and delayed metamorphosis, although chronic corticosterone exposure accelerated time to metamorphosis in uninfected larvae. Acute corticosterone exposure accelerated metamorphosis increased survival in infected larvae. 6. Interactions between stress exposure (via glucocorticoid actions) and infection impose resource trade-offs that shape optimal allocation between development and somatic function. As a result, critical disease windows are likely shaped by stress exposure because any conditions that induce changes in differentiation rates will alter the duration and susceptibility of organisms to stressors or disease.
Data from: Ocean acidification boosts larval fish development but reduces the window of opportunity for successful settlement
Locating appropriate settlement habitat is a crucial step in the life cycle of most benthic marine animals. In marine fish, this step involves the use of multiple senses, including audition, olfaction and vision. To date, most investigations of fish audition focus on the hearing thresholds to various frequencies of sounds without testing an ecological response to such sounds. Identifying responses to biologically relevant sounds at the development stage in which orientation is most relevant is fundamental. We test for the existence of ontogenetic windows of reception to sounds that can act as orientation cues with a focus on vulnerability to alteration by human impacts. Here we show that larvae of a catadromous fish species (barramundi, Lates calcarifer) are attracted towards sounds from settlement habitat during a surprisingly short ontogenetic window of ~3 days. Yet, this auditory preference is reversed in larvae reared under end-of-century levels of elevated CO2, such that larvae are repelled from cues of settlement habitat. These future conditions also reduced the swimming speeds and heightened the anxiety levels of barramundi. Unexpectedly, an acceleration of development and onset of metamorphosis caused by elevated CO2 was not accompanied by the earlier onset of attraction towards habitat sounds. This mismatch between ontogenetic development and the timing of orientation behaviour may reduce the ability of larvae to locate habitat or lead to settlement in unsuitable habitats. The misinterpretation of key orientation cues can have implications for population replenishment, which is only exacerbated when ontogenetic development decouples from the specific behaviours required for location of settlement habitats.
FIGURE 2 in Cyrtosathe gen. n.: the first nonscenopinine window fly from sub Saharan Africa (Diptera: Scenopinidae)
FIGURE 2. Cyrtosathe kirkspriggsi gen. et sp. nov.: Wing. Scale line: 0.2 mm.
Wembedder wikidata-20170613-truthy-BETA-cbow-size=100-window=1-min_count=20-iter=25
<p>Wikidata embedding<br> ==================</p> <p>Gensim model:<br> wikidata-20170613-truthy-BETA-cbow-size=100-window=1-min_count=20-iter=25</p> <p>Download of Wikidata from::</p> <p> https://dumps.wikimedia.org/wikidatawiki/entities/</p> <p>Trigram construction::</p> <p> from bz2 import BZ2File<br> import re</p> <p> dump_filename = 'wikidata-20170613-truthy-BETA.nt.bz2'<br> trigram_filename = 'wikidata-20170613-truthy-BETA.trigrams'</p> <p> pattern = re.compile(<br> (r'^<http://www.wikidata.org/entity/(Q\d+)> '<br> r'<http://www.wikidata.org/prop/direct/(P\d+)> '<br> r'<http://www.wikidata.org/entity/(Q\d+)>'),<br> flags=re.UNICODE)</p> <p> with open(trigram_filename, 'w') as f:<br> for line in BZ2File(dump_filename):<br> line = line.decode('utf-8')<br> match = pattern.search(line)<br> if match:<br> f.write(" ".join(match.groups()) + '\n')</p> <p><br> Construction of Gensim model::<br> <br> import logging<br> from gensim.models import Word2Vec<br> from gensim.models.word2vec import LineSentence</p> <p> logging.basicConfig(<br> format='%(asctime)s : %(levelname)s : %(message)s',<br> level=logging.INFO)</p> <p> sentences = LineSentence('wikidata-20170613-truthy-BETA.trigrams')</p> <p> filename = 'wikidata-20170613-truthy-BETA-cbow-size=100-window=1-min_count=20-iter=25'<br> w2v = Word2Vec(sentences, size=100, window=1, min_count=20, workers=10, iter=25)<br> w2v.save(filename)</p> <p> </p>
BBDD_Association between physical load in different time windows and hamstring injuries in elite football players
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Tri-band electrochromic smart window for energy savings in buildings
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Supplementary material 2 from: Chen R, Shen T, Tsai K, Hu C (2016) Pericardial window operation for malignant pericardial effusion may have worse outcomes for lung cancer than the other cancers. Research Ideas and Outcomes 2: e8758. https://doi.org/10.3897/rio.2.e8758
Stata/MP 13.1 program *.do (including self-made macros (sharable upon request))
Supplementary material 1 from: Chen R, Shen T, Tsai K, Hu C (2016) Pericardial window operation for malignant pericardial effusion may have worse outcomes for lung cancer than the other cancers. Research Ideas and Outcomes 2: e8758. https://doi.org/10.3897/rio.2.e8758
Detailed statistical output by Stata/MP 13.1
Figures 2-4 from: Brisque T, Campos-Silva LA, Piratelli AJ (2017) Relationship between bird-of-prey decals and bird-window collisions on a Brazilian university campus. Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e13729
Figures 2-4 - Windows of the ATLAB (2) and GAD (3) buildings following application of decals (4). See text for description.
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.