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2,288 results for “periodicals”
Abb. P 6 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 6: Publikationen von Ulrike Aspöck: 267 (2014), 268 (2014), 269 (2014).
Abb. P 5 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 5: Publikationen von Ulrike Aspöck: 264 (2013), 265 (2013), 266 (2014).
Abb. P 2 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 2: Publikationen von Ulrike Aspöck: 254 (2012), 255 (2012), 256 (2012).
Abb. P 3 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 3: Publikationen von Ulrike Aspöck: 257 (2012), 258 (2012), 259 (2013).
Abb. P 1 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 1: Publikationen von Ulrike Aspöck: 251 (2012), 252 (2012), 253 (2012).
Abb. P 12 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 12: Publikationen von Ulrike Aspöck: 284 (2016), 285 (2016), 286 (2016).
Chironomid assemblages and inferred summer temperature from the Last Glacial Period (ca. 98–46 ka), from Füramoos, Southern Germany
<p>The data herein presents a new chironomid record and associated chironomid-based temperature reconstruction covering the time interval ca. 98–46 ka from the palaeolake Füramoos, Southern Germany. These data also include non-chironomid invertebrate remains, including Ceratopogonidae, Daphnia and Ephemeroptera as well as Characean oospores.</p>
Dataset on Modelling Rainfall Return Periods and Intensity: Survival Analysis Approach
<p>This dataset consist Twenty years’ of annual rainfall data, obtained from three metrological stations. These annual rainfal were subjected to nine different probability plotting position methods, which are California, Weibull, Hazen, Adamowski, Blom, Chegodagev, Gringoten, Hirsh, and Laplace methods. The respective months and years of the rainfall was recorded. The months are recoded into halves of the year, 1 represent months in first half and 2 represents months in second year. </p>
Relative forelimb-hindlimb investment is associated with flight style, foraging strategy, and nestling period, but not nest type
<p>We investigated Dial's 2003 hypothesis that birds that rely more heavily upon flight as their primary mode of locomotion and thus invest more in their forelimbs than hindlimbs will experience selection for smaller body sizes, greater altriciality, and more complex nests. To test this hypothesis, we examined the skeletons of over 2,000 individuals from 313 species representing the majority of avian families and all major branches of the avian tree. We used the lengths of the sternal keel and long bones of the wing relative to the lengths of the leg long bones as an index of relative locomotor investment. We found that locomotor investment was predicted by flight style, foraging method, and length of nestling period, supporting Dial's hypothesis. Soaring birds and birds with more acrobatic flight styles, birds whose foraging methods were heavily reliant upon flight, and whose young spent more time in the nest tended to invest more in their forelimbs relative to hindlimbs. Nest type and body size were not significant predictors of relative forelimb-hindlimb investment, however, suggesting that the relationships among flight style, locomotor investment, and life history are not as tightly intertwined as Dial originally hypothesized.</p>
Predicting Properties of Periodic Systems from Cluster Data: A Case Study of Liquid Water
<ul> <li> Description</li> </ul> <p>The 1520 water clusters were extracted from Ref. 1. The respective energies and atomic forces were recomputed at the revPBE-D3/def2-TZVP [2-6], B3LYP-D3/def2-TZVP [4-6, 7, 8], and BLYP-D3/def2-TZVP [4-6, 7, 9] level.</p> <ul> <li> Format</li> </ul> <p>The data is stored in python compressed array format (.npz) with the atomization energy in kcal/mol and atomic forces in kcal/mol/Ang. The data set contains five np.ndarray</p> <pre><code>import numpy as np data = np.load('revpbe.npz') data['R'] # Cartesian coordinates of nuclei in Ang. data['E'] # Total energy in kcal/mol data['F'] # Atomic forces in kcal/mol/Ang. data['N'] # Number of atoms in each structure data['Z'] # Nuclear charges</code></pre> <p>References</p> <ul> </ul> <p>[1] Molpeceres G., Zaverkin V., and Kästner J., “Neural-network assisted study of nitrogen atom dynamics on amorphous solid water – I. adsorption and desorption,” Mon. Not. R. Astron. Soc. 499, 1373 (2020).</p> <p>[2] P. E. Blöchl, “Projector augmented-wave method,” Phys. Rev. B 50, 17953 (1994).</p> <p>[3] Y. Zhang and W. Yang, “Comment on “generalized gradient approximation made simple”,” Phys. Rev. Lett. 80, 890 (1998).</p> <p>[4] S. Grimme, J. Antony, S. Ehrlich, and H. Krieg, “A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu,” J. Chem. Phys. 132, 154104 (2010).</p> <p>[5] F. Weigend and R. Ahlrichs, “Balanced basis sets of split valence, triple zeta valence and quadruple zeta valence quality for H to Rn: Design and assessment of accuracy,” Phys. Chem. Chem. Phys. 7, 3297 (2005).</p> <p>[6] F. Weigend, “Accurate Coulomb-fitting basis sets for H to Rn,” Phys. Chem. Chem. Phys. 8, 1057 (2006).</p> <p>[7] A. D. Becke, “Density-functional thermochemistry. iii. the role of exact exchange,” J. Chem. Phys. 98, 5648 (1993).</p> <p>[8] P. J. Stephens, F. J. Devlin, C. F. Chabalowski, and M. J. Frisch, “Ab initio calculation of vibrational absorption and circular dichroism spectra using density functional force fields,” J. Phys. Chem. 98, 11623 (1994).</p> <p>[9] C. Lee, W. Yang, and R. G. Parr, “Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density,” Phys. Rev. B 37, 785 (1988).</p>
Measurements of water levels and water temperature profiles in Lake Kinneret, in summer, during the period (2000 – 2020)
<p><em>The datasets include measurements of water levels and water temperature profiles in Lake Kinneret, in summer, during the period (2000 – 2020). </em><em>Lake Kinneret is located in Israel. </em>Shipboard measurements of water temperature profiles were taken at the deepest point of ~40 m near the lake center (32.82 N; 35.60 E). The <em>AML MINOS X probe was used (specifications are available online at <a href="https://geo-matching.com/ctd-systems/minos-x-ctd/svp">https://geo-matching.com/ctd-systems/minos-x-ctd/svp</a>). </em><em>Data of water temperature profiles are associated with the Kinneret Limnological Laboratory, Israel Oceanographic and Limnological Research (</em><a href="http://kinneret.ocean.org.il/ar_3d_vb.aspx"><em>http://kinneret.ocean.org.il/ar_3d_vb.aspx</em></a><em> ). Data of Lake Kinneret water levels are associated with the Israel Water and Sewage Authority (</em><a href="https://www.gov.il/en/departments/water_authority/govil-landing-page">https://www.gov.il/en/departments/water_authority/govil-landing-page</a><em> ). Data format: xlsx file. </em>There are two sheets in the Excel file: the first sheet includes water temperature profiles, while the second sheet includes lake water levels, in summer, during the period (2000 – 2020). </p>
Gravity data collected during volcanic unrest period of the Svartsengi geothermal field in Iceland
<p>The file contains free-air corrected data collected during the one-year unrest at the Svartsengi geothermal field in Iceland as a precursor the Fagradalsfjall eruption in 2021.</p> <p>Column 1: Name of the measurement site</p> <p>Column 2 and 3: Geographical coordinates of measurement sites</p> <p>Column 4-6. Change in elevation, free-air correction and free air gravity change from January 28-29th to April 22-28th 2020</p> <p>Column 7-9. Change in elevation, free-air correction and free air gravity change from April 22-28th to October 5-6th 2020</p> <p>Column 10-12. Change in elevation, free-air correction and free air gravity change from October 5-6th 2020 to February 17-18th 2021</p>
Grain size distribution of Amazon river sediment samples collected over the period 2005-2008; and ADCP water velocity profiles collected on the major tributaries of the Amazon in Bolivia and Peru, 2007-2008
<p>This dataset contains two items:</p> <p>- The grain size distribution of river sediment samples collected along the Amazon River and its tributaries during four sampling campaigns performed in June 2005 (lower Amazon, Brazil), March 2006 (lower Amazon, Brazil), May 2007 (Upper Madeira, Bolivia), and April 2008 (Upper Solimões-Amazonas, Peru). [spreadsheet "Grain_size_distribution_dataset_Amazon_2005-2008_Bouchez_data.xlsx"].</p> <p>- River water velocity profiles derived from Acoustic Doppler Current Profiler (ADCP) measurements performed on the major tributaries of the Amazon in May 2007 (Upper Madeira, Bolivia) and April 2008 (Upper Solimões-Amazonas, Peru) [folder "ADCP_dataset_Amazon_2007-2008_Bouchez_data"].</p> <p>The dataset description and the relevant references are provided in the text files "Grain_size_distribution_dataset_Amazon_2005-2008_Bouchez_description.docx" and "ADCP_dataset_Amazon_2007-2008_Bouchez_description.docx" .</p> <p>These data were acquired thanks to the support of the French National Service for Observation "HYBAM" ("Hydrogeochemistry of the Amazon Basin"), part of the CNRS National Infrastructure "OZCAR" ("Critical Zone Observatories: Applications and Research").</p>
Warming may extend tree growing seasons and compensate for reduced carbon uptake during dry periods
<p>1. Warming and drought alter plant phenology, photosynthesis and growth with important consequences for the global carbon cycle and the earth's climate. Yet, few studies have attempted to tease apart their effects on tree phenology, particularly leaf senescence, and on source and sink activity.</p> <p>2. We experimentally assessed the single and combined effects of warming and reduced soil moisture on the phenology (leaf-out and senescence date, growing season length) and aboveground sink (height and diameter growth, leaf area and Huber values) and source activity (net photosynthesis, photosynthetic efficiency, chlorophyll concentration and total carbon (C) uptake) of two tree species with distinct strategies to deal with drought: European beech and pubescent oak.</p> <p>3. Warming advanced leaf-out, irrespective of soil moisture levels, particularly in oak and to a lower extent in beech, leading to a prolonged growing season in oak but not beech. No impacts of warming on senescence timing were found for both species. Reduced moisture had little impact on the phenology of both species. Warming-induced advances in phenology and higher photosynthetic efficiency increased the annual C uptake for oak and compensated for the reduced photosynthetic activity in the presence of reduced moisture. Conversely, for beech, source activity, including yearly C uptake, was lower in all treatments than the control, indicating no compensation of the C budget by phenological shifts.</p> <p>4. Synthesis. Our results demonstrate that a warming-driven earlier activity and higher photosynthetic efficiency compensates for reduced photosynthesis during hot and dry periods, but only for pubescent oak, which is a rather drought tolerant species. Current predictions of warming-induced mitigation effects through extended C uptake seem incorrect for beech. --</p>
Effect of Guest Molecules on the Stacking Configuration of Covalent Organic Frameworks: A Periodic Energy Decomposition Analysis
<p>Illustrative videos that provide an in-depth understanding of the methodology and the result obtained from our recent study. A full description of the method is found in the paper. The potential energy surface was plotted using imshow Matplotlib and the 3d structures were rendered using povray. The videos are all free to use for educational purposes but please remember to cite the paper at anytime you use the videos. </p> <p> </p>
Determination of mean effective shore level to delineate periods of emersion and immersion for intertidal rocky shores
<p>This dataset contains data described in the paper entitled "Environmental filtering causes increasingly negative effects towards the range limit of an invasive mussel". Data include: the R script to estimate temperature thresholds and calculate effective shore levels (<strong>esl_function.R</strong>); data files associated with this R script (<strong>material.RData</strong>); mean effective shore levels determined for the five South African rocky-shore sites where submersible temperature data loggers were installed (<strong>esl_overall_results.csv</strong>); measurements of mussel shell lengths, level of endolithic infestation, and counts of epibionts on the basibiont mussel <em>Mytilus galloprovincialis</em> (<strong>mussel_data.csv</strong>); counts of barnacles (<em>Chthamalus dentatus</em>) and mussels (<em>Mytilus galloprovincialis</em> and <em>Perna perna</em>) on emersed rocks using 50 × 50 cm quadrats and counts of mussels (<em>Mytilus galloprovincialis</em> and <em>Perna perna</em>) in mono-layer mixed-species mussel patches using 25 × 25 cm quadrats (<strong>quadrat_data.csv</strong>); hourly temperatures recorded by submersible temperature data loggers (<em>EnvLogger</em> Version 2.4; precision of ≤ 0.1 ºC and accuracy of ≤ 0.2 ºC) from September 2019 to September 2020 at the five South African rocky-shore sites (<strong>temperature_data.csv</strong>); and 2019 and 2020 hourly tidal predictions (courtesy of the South African Navy Hydrographic Office) for the closest maritime port to the sites where the temperature data loggers were installed (<strong>tide_data.csv</strong>).</p>
Estimates of circadian period for family lines of Boechera stricta
<p>Circadian clocks confer adaptation to predictable 24-h fluctuations in the exogenous environment, but it has yet to be determined what ecological factors maintain natural genetic variation in endogenous circadian period outside of the hypothesized optimum of 24 h. We estimated quantitative genetic variation in circadian period in leaf movement in 30 natural populations of the <em>Arabidopsis </em>relative<em> Boechera stricta </em>sampled within only 1° of latitude but across an elevation gradient spanning 2460−3300 m in the Rocky Mountains. Measuring ~3800 plants from 473 maternal families (7−20 per population), we found that genetic variation was of similar magnitude among vs. within populations, with population means varying between 21.9−24.9 h and maternal family means within populations varying by up to ~6 h. After statistically accounting for spatial autocorrelation at a habitat extreme, we found that elevation explained a significant proportion of genetic variation in circadian period, such that higher-elevation populations had shorter mean period lengths and reduced intrapopulation ranges. Environmental data indicate that these spatial trends could be related to steep regional climatic gradients in temperature, precipitation, and their intra-annual variability. Our findings suggest that spatially fine-grained environmental heterogeneity contributes to naturally occurring genetic variation in circadian traits in wild populations.</p>
The simulated monthly runoff data in the historical period and under future climate scenarios of the Yarlung Zangbo River Basin
<p>This data provides the simulated monthly runoff data under the historical period (1979-2014) and future (2049-2084) climate scenarios for four sub-basins of the Yarlung Zangbo River Basin, including Nugexia, Nuxia, Lasha, and Rikaze.<br> This runoff data is simulated based on the GR4J model coupled with a simple degree-day snow module. The GR4J_SNOW performs parameterization and calculates runoff on each grid cell, and the gridded simulated runoff then converges to the outlet of the sub-basin.<br> Time series of the daily records for meteorological forcing data (precipitation, air temperature, vapor pressure, wind speed, downward long-wave radiation, and downward short-wave radiation) from 1979-2014 was provided by China Meteorological Forcing Dataset (CMFD). <br> Future climate scenarios were generated using the combined climate forcing data together with scaling factors obtained from empirical downscaling of 30 available CMIP5 models (28 GCMs for RCP4.5 and 29 GCMs for RCP8.5). The simulated runoff under RCP4.5 and RCP8.4 are the ensemble averages of 28 and 29 simulated runoff results, respectively.</p>
Whole-transcriptome sequencing identifies neuroinflammation, metabolism and blood-brain barrier related processes in the hippocampus of aged mice during perioperative period
<p><span><strong>Aim</strong>:</span><span> Perioperative neurocognitive disorders (PND) occur frequently after surgery and anesthesia, especially in aged patients. Previous studies have shown multiple PND related mechanisms in the hippocampus, however, their relationships remain unclear. Meanwhile, the perioperative neuropathological processes are sophisticated and changeable, single period study could not reveal the accurate mechanisms. Thus, multiperiod whole-transcriptome study is necessary to elucidate the gene expression patterns during perioperative period.</span></p> <p><span><strong>Methods</strong>: </span><span>Aged</span><span> C57BL/6 mice were subjected to exploratory laparotomy under sevoflurane anesthesia. Whole-transcriptome sequencing (RNA-seq analysis) was performed on the hippocampi from control condition (Con), 30 minutes (Day0), 2 days (Day2) and 7 days (Day7) after surgery. Gene Ontology</span><span>/Kyoto Encyclopedia of Genes and Genomes analyses,</span><span> quantitative Real-Time PCR, immunofluorescence and fear conditioning test were also performed to elucidate the pathological processes and modulation networks during the period.</span></p> <p><span><strong>Results</strong>: </span><span>Through RNA-seq analysis, 328, 3597 and 4179 differentially expressed genes (DEGs) were screened out in intraoperative period (Day0 vs Con), early postoperative period (Day2 vs Day0) and late postoperative period (Day7 vs Day2). The involved GO biological processes were divided into 9 categories, and positive-regulated processes were more than negative-regulated ones. Seventy-four transcription factors were highlighted. The potential synaptic and neuroinflammatory pathways were constructed for Neurotransmitter, Synapse and Neuronal alteration categories with 9 DEGs (<em>Htr1a, Rims1, Ezh2,</em> etc.). The metabolic and mitochondrial pathways were constructed for Metabolism, Oxidative stress and Biological rhythm categories with 9 DEGs (<em>Gpld1, Sirt1, Cry2, </em>etc.). The blood-brain barrier and neurotoxicity related pathways were constructed for Blood-brain barrier, Neurotoxicity and Cognitive function categories with 10 DEGs (<em>Mmp2, Itpr1, Nrf1, </em>etc.).</span></p> <p><span><strong>Conclusion</strong>:</span><span> The results revealed gene expression patterns and modulation networks in the aged hippocampus during perioperative period, which provide insights into overall mechanisms and potential therapeutic targets for prevention and treatment of perioperative central nervous system diseases, such as PND, from the genetic level.</span></p>
Data from: Climate warming leads to advanced fruit development period of temperate woody species but divergent changes in its length
<p><span>Climate warming has significantly altered the phenology of plants</span><span> in recent decades. However, in contrast to the widely reported warming-induced extension of vegetative growing season, the response of fruit development period (FDP) from flowering to fruiting remains largely unexplored, particularly for woody plants. Analyzing >560,000 <em>in situ</em> observations of both flowering and fruiting dates for six temperate woody species across 2958 European phenological observations sites during </span><span>1980 – 2013</span><span>, we found that in all species both flowering and fruiting phenology, i.e., the FDP, advanced with climate warming. However, the advancing rates of the two events were not necessarily equal for any given species, resulting in divergent changes in the length of FDP among species with climate warming. During </span><span>1980 – 2013</span><span>, not only the temperature during FDP but also the forcing requirement for fruit development increased, both affecting the length of FDP. The shortened FDP was mainly due to elevated temperature, thus accelerating the accumulation of forcing, whereas the prolonged FDP was primarily caused by the substantial increase of the forcing requirement of fruiting, which could be fulfilled only in a longer time and thus slowed down the advance of fruiting. This study provides large-scale empirical evidence of warming-induced </span><span>advances of FDP but divergent changes in its length in temperate woody species. Our findings demonstrate the contrasting reproductive phenological strategies among temperate woody species under the pressure of warming climate, contrary to the lengthening of vegetative growing season, which is by and largely similar with different woody species.</span></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.