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5,145 results for “CO₂”
Code and data used in "Health co-benefits of sub-national renewable energy policy in the US"
<p>Archive of modeling, inputs, and results.</p>
Data file for the paper: Colleen Jackson, Leonard Raymakers, Martijn Mulder and Anthony RJ Kucernak, "Assessing Electrocatalyst Hydrogen Activity and CO Tolerance: Comparison of Performance obtained using the High Mass Transport 'Floating Electrode' Technique and in Electrochemical Hydrogen Pumps", Applied Catalysis B: Environmental, 2020, https://doi.org/10.1016/j.apcatb.2020.118734
<p>This Excel spreadsheet contains the data used in generation of the figures in the paper</p> <p>Article title: Assessing Electrocatalyst Hydrogen Activity and CO Tolerance: Comparison of Performance obtained using the High Mass Transport 'Floating Electrode' Technique and in Electrochemical Hydrogen Pumps</p> <p>Journal title: Applied Catalysis B: Environmental, 2020</p> <p>Corresponding author: Professor ARJ Kucernak</p> <p>First author: Dr. C. Jackson</p> <p>First published version available online: 7-FEB-2020</p> <p>DOI information: 10.1016/j.apcatb.2020.118734</p> <p> </p>
Research collaboration patterns in sustainable mining – a co-authorship analysis of publications
<p>This dataset includes data related to 4220 articles on sustainable mining published from 1983 to 2018. The Scopus database was selected as a data source. Detailed data applies to co-authored articles. The number of authors and affiliations (country, institution, sector) were taken into account. Data has been cleaned in terms of names of institutions and countries.<br> In given sets the following data were included:<br> - Distribution of articles in sustainable mining from 1983 to 2018<br> - Distribution of joint articles and the types of joint articles from 1983 to 2018<br> - Team size in terms of the number of authors of articles in sustainable mining from 1983 to 2018<br> - Team size in terms of the number of authors' institutions in articles in sustainable mining from 1983 to 2018<br> - Team size in terms of the number of authors' countries in articles in sustainable mining from 1983 to 2018</p> <p><strong>Please note, the field separator used in these files is a semicolon, while the decimal separator is a comma. Each of the files has two header lines.</strong></p>
Data from: The co-authorship networks of the most productive European researchers
<p>This individual-level data-set describes the most productive European Union (EU) researchers (in terms of articles), during 2007 - 2018, irrespective of their research field. Specifically, in the data-set file, i.e. "iconic_5000", we profile the most productive 4,588 EU researchers using the following variables: number of papers; number of citations; repeated collaborations; number of co-authors; number of co-authors from the same country (as the author), from the same city, from the same institution and from different countries; geographical dispersion (number of unique countries wherein co-authors are based in), star (the largest number of articles published by one of an author's collaborators), godfather (the largest number of citations received by one of an author's collaborators), co-authors' citations and co-authors' papers. Variables are yearly measured.</p>
Data from "Large-scale CO spirals and complex kinematics associated with the T Tauri star RU Lup"
<p>Image cubes, self-calibrated visibilities, and self-calibration and imaging scripts for data from Huang et al., 2020, "Large-scale CO spirals and complex kinematics associated with the T Tauri star RU Lup," ApJ, 898, 140 (arXiv:2007.02974) </p> <p>The raw ALMA data can be found at the ALMA archive under program ID 2018.1.01201.S (PI: Jane Huang).</p> <p><strong>Scripts:</strong></p> <p>selfcal_C43-5.py, selfcal_C43-2.py, selfcal_ACA.py: self-calibration scripts for observation of RU Lup in various ALMA configurations</p> <p>imaging.py: imaging script used for all lines</p> <p>reductionutils.py can be downloaded from <a href="https://zenodo.org/record/3628656">https://zenodo.org/record/3628656</a></p> <p><strong>Measurement sets:</strong></p> <p>RULupcontinuum.ms.tgz: Continuum visibilities for "RULupallcontinuum.image.pbcor.fits" (the high-resolution ALMA continuum data can be found on the <a href="https://bulk.cv.nrao.edu/almadata/lp/DSHARP/">DSHARP</a> page)</p> <p>RULup_12CO.ms.contsub.tgz: Continuum-subtracted visibilities for the <sup>12</sup>CO J=2-1 line toward RU Lup</p> <p>RULup_12CO_nocontsub.ms.tgz: Visibilities for the <sup>12</sup>CO J=2-1 line (no continuum subtraction) toward RU Lup, used to make the 'RULup_12COpeakintensity.fits' file.</p> <p>RULup_13CO.ms.contsub.tgz: Continuum-subtracted visibilities for the <sup>13</sup>CO J=2-1 line toward RU Lup</p> <p>RULup_C18O.ms.contsub.tgz: Continuum-subtracted visibilities for the C<sup>18</sup>O J=2-1 line toward RU Lup</p> <p>RULup_DCOp.ms.contsub.tgz: Continuum-subtracted visibilities for the DCO<sup>+</sup> J=3-2 line toward RU Lup</p> <p><strong>Images: </strong></p> <p>RULup12CO.1sigcut.pbcor.mom0.fits: Integrated intensity map of <sup>12</sup>CO J=2-1 appearing in Fig. 1</p> <p>RULup12CO.pbcor.mom1.fits: <sup>12</sup>CO J=2-1 intensity-weighted velocity map appearing in Fig. 1</p> <p>RULup13CO.pbcor.mom0.fits: Integrated intensity map of <sup>13</sup>CO J=2-1 appearing in Fig. 1</p> <p>RULup13CO.pbcor.mom1.fits: <sup>13</sup>CO J=2-1 intensity-weighted velocity map appearing in Fig. 1</p> <p>RULupC18O.pbcor.mom0.fits: Integrated intensity map of C<sup>18</sup>O J=2-1 appearing in Fig. 1</p> <p>RULupC18O.pbcor.mom1.fits: C<sup>18</sup>O J=2-1 intensity-weighted velocity map appearing in Fig. 1</p> <p>RULup12CO.image.pbcor.fits: <sup>12</sup>CO J=2-1 image cube appearing in Fig. 2</p> <p>RULupC18O.image.pbcor.fits: C<sup>18</sup>O J=2-1 image cube appearing in Fig. 2</p> <p>RULup13CO.image.pbcor.fits: <sup>12</sup>CO J=2-1 image cube appearing in Fig. 3</p> <p>RULup_12COpeakintensity.fits: Peak intensity image of <sup>12</sup>CO used to make Figure 4</p> <p>RULupDCOp.pbcor.mom0.fits: Integrated intensity map of DCO<sup>+</sup> J=3-2 appearing in Fig. 10</p> <p>RULupDCOp.image.pbcor.fits: DCO<sup>+</sup> J=3-2 image cube appearing in Fig. 11</p> <p>RULupallcontinuum.image.pbcor.fits: Continuum image appearing in Fig. 12</p> <p>RULup12COinitial.mask.image.fits: <sup>12</sup>CO CLEAN mask shown in Fig. 13</p> <p> </p>
"CO emission in distant galaxies on and above the main sequence" (Supplementary material)
<p>This document contains the infrared spectral energy distributions and the ALMA spectra providing reliable information (Flag ≥ 0.5) on emission lines from F. Valentino, E. Daddi, A. Puglisi, et al. 2020, “CO emission in distant galaxies on and above the main sequence” (Astronomy & Astrophysics).</p>
Data from: The difference between generalist and specialist: the effects of wide fluctuations in main food abundance on numbers and reproduction of two co-existing predators
<p>Specialist individuals within animal populations have shown to be more efficient foragers and/or to have higher reproductive success than generalist individuals, but interspecific reproductive consequences of the degree of diet specialisation in vertebrate predators have remained unstudied. Eurasian pygmy owls (hereafter POs) have less vole-specialised diets than Tengmalm's owls (TOs), both of which mainly subsist on temporally fluctuating food resources (voles). To test whether the specialist TO is more limited by the main prey abundance than the generalist PO, we studied breeding densities and reproductive traits of co-existing POs and TOs in central-western Finland during 2002-2019. Breeding densities of POs increased with augmenting densities of voles in the previous autumn, whereas breeding densities of TOs increased with higher vole densities in both the previous autumn and the current spring. In years of vole scarcity, PO females started egg-laying earlier than TOs, whereas in years of vole abundance TO females laid eggs substantially earlier than PO females. The yearly mean clutch size and number of fledglings produced of both POs and TOs increased with abundance of voles in the current spring. POs laid large clutches and produced large broods in years of both high and low vole abundance, whereas TOs were able to do so only in years of high vole abundance. POs were able to raise on average 73% of the eggs to fledglings whereas TOs only 44%. The generalist foraging strategy of POs including flexible switching from main prey to alternative prey (small birds) appeared to be more productive than the strictly vole-specialized foraging strategy of TOs. In contrast to earlier studies at the individual-level, specialist predators at the species level (in this case TOs) appear to be less effective than generalists (POs), but diet specialisation was particularly costly under conditions when scarcity of main foods limited offspring production.</p>
Rest-task modulation of fMRI-derived global signal topography is mediated by transient co-activation patterns
<p>Recent resting-state fMRI studies have revealed that the global signal (GS) exhibits a non-uniform spatial distribution across the gray matter. Whether this topography is informative remains largely unknown. We therefore tested rest-task modulation of global signal topography by analyzing static global signal correlation and dynamic co-activation patterns in a large sample of fMRI dataset (n=837) from the Human Connectome Project. The GS topography in the resting-state and in seven different tasks was first measured by correlating the global signal with the local timeseries (GSCORR). In the resting state, high GSCORR was observed mainly in the primary sensory and motor regions, while low GSCORR was seen in the association brain areas. This pattern changed during the seven tasks, with mainly decreased GSCORR in sensorimotor cortex. Importantly, this rest-task modulation of GSCORR could be traced to transient co-activation patterns at the peak period of global signal (GS-peak). By comparing the topography of GSCORR and respiration effects, we observed that the topography of respiration mimicked the topography of global signal in the resting-state whereas both differed during the task states; due to such partial dissociation, we assume that GSCORR could not be equated with a respiration effect. Finally, rest-task modulation of GS topography could not be exclusively explained by other sources of physiological noise. Together, we here demonstrate the informative nature of global signal topography by showing its rest-task modulation, the underlying dynamic co-activation patterns, and its partial dissociation from respiration effects during task states.</p>
Figure 2 from: Monjardim M, Azevedo CO, Fagundes V (2020) DNA barcoding and hypopygium shape support delimitation of sympatric Dissomphalus species (Hymenoptera, Bethylidae) from the Atlantic rainforest. ZooKeys 959: 87-97. https://doi.org/10.3897/zookeys.959.53737
Figure 2 A bayesian consensus tree generated from the 304-bp COI from 29 representatives of the species complex. Posterior probabilities (PP) and bootstrap (BT) indicated above branches. The species D. thaianus, D. wusheanus and D. chiangmaiensis were used as outgroups to root the tree B–D hypopygium magnified 9.2×, corresponding to each clade.
Figure 1 from: Monjardim M, Azevedo CO, Fagundes V (2020) DNA barcoding and hypopygium shape support delimitation of sympatric Dissomphalus species (Hymenoptera, Bethylidae) from the Atlantic rainforest. ZooKeys 959: 87-97. https://doi.org/10.3897/zookeys.959.53737
Figure 1 Locations of the samples in Brazil and Paraguay (see Appendix I for geographic coordinates).
Figure 5 in Influence of CO -induced seawater acidification on the development and lifetime reproduction of Tigriopus japonicus Mori, 1938
Figure 5. Average number of nauplii per viable egg sac (N = 3) at four pH levels (median indicated with a bar; quartiles, minimum and maximum also shown).
Figure 1 in Influence of CO -induced seawater acidification on the development and lifetime reproduction of Tigriopus japonicus Mori, 1938
Figure 1. Effect of carbon dioxide (CO2)-induced seawater acidification on development time [mean ± standard deviation (SD), N = 3] of Tigriopus japonicus (N–C, nauplius to copepodite; C–A, copepodite to adult).
Figure 5 from: Kadinov B, Itzev D (2020) Influence between NO and CO in guinea pig stomach fundus. Pharmacia 67(3): 161-168. https://doi.org/10.3897/pharmacia.67.e52474
Figure 5 FES-evoked relaxations in non-treated and treated guinea pigs in presence of VitE (100 µmol L-1). (a) Effect of Hemin (10 µmol L-1) on 2 Hz (n = 5) evoked relaxations. (b) Effect of Hemin (10 µmol L-1) on 5 Hz (n = 5) induced relaxatory responses of the strips. Data are the means ±SEM of experiments (* p < 0.5).
Figure 3 from: Kadinov B, Itzev D (2020) Influence between NO and CO in guinea pig stomach fundus. Pharmacia 67(3): 161-168. https://doi.org/10.3897/pharmacia.67.e52474
Figure 3 (a) Original trace representing the effect of hemin (0.01 µmol.L-1) on the FES-evoked relaxation in non-treated guinea-pig gastric fundus strips. (b) Original trace representing the effect of hemin (0.01 µmol.L-1) on the FES-evoked relaxation in treated guinea-pig gastric fundus strips. – adding PgF2α (0.5 ηmol.L-1) to evoke contractile response. Incubation with hemin is for 20 min., with Vitamin E – 10 min. before hemin application. The responses of the strips to EFS were registered in the presence of atropine (1 µmol.L-1).
Figure 4 from: Kadinov B, Itzev D (2020) Influence between NO and CO in guinea pig stomach fundus. Pharmacia 67(3): 161-168. https://doi.org/10.3897/pharmacia.67.e52474
Figure 4 FES-evoked relaxations in non-treated and treated guinea pigs. (a) Effect of Hemin (10 µmol.L-1) on 2 Hz (n = 5) evoked relaxations. (b) Effect of Hemin (10 µmol.L-1) on 5 Hz (n = 5) induced relaxatory responses of the strips. Data are the means ±SEM of experiments (* p < 0.5).
Figure 2 from: Kadinov B, Itzev D (2020) Influence between NO and CO in guinea pig stomach fundus. Pharmacia 67(3): 161-168. https://doi.org/10.3897/pharmacia.67.e52474
Figure 2 Immunohistochemistry of HO-1 and HO-2. Immunohistochemically stained 30 µm thick sections of the guinea pig stomach fundus for non-treated and treated animals.
Data from: Co-evolution of cerebral and cerebellar expansion in cetaceans
Cetaceans possess brains that rank among the largest to have ever evolved, either in terms of absolute mass or relative to body size. Cetaceans have evolved these huge brains under relatively unique environmental conditions, making them a fascinating case study to investigate the constraints and selection pressures that shape how brains evolve. Indeed, cetaceans have some unusual neuroanatomical features, including a thin but highly folded cerebrum with low cortical neuron density, as well as many structural adaptations associated with acoustic communication. Previous reports also suggest that at least some cetaceans have an expanded cerebellum, a brain structure with wide-ranging functions in adaptive filtering of sensory information, the control of motor actions, and cognition. Here, we report that, relative to the size of the rest of the brain, both the cerebrum and cerebellum are dramatically enlarged in cetaceans and show evidence of co-evolution, a pattern of brain evolution that is convergent with primates. However, we also highlight several branches where cortico-cerebellar co-evolution may be partially decoupled, suggesting these structures can respond to independent selection pressures. Across cetaceans, we find no evidence of a simple linear relationship between either cerebrum and cerebellum size and the complexity of social ecology or acoustic communication, but do find evidence that their expansion may be associated with dietary breadth. In addition, our results suggest that major increases in both cerebrum and cerebellum size occurred early in cetacean evolution, prior to the origin of the major extant clades, and predate the evolution of echolocation.
Pilot implementation, monitoring, co-evaluation and validation data_v2
<p>These data have been collected in the context of monitoring and assessing the pilot operation of the INVITE project (H2020 GA 763651) and its OI2Lab platform during their 2nd deployment round.</p>
DFT+U study of CO2 reduction and CO oxidation on a reconstructed CeO(2-x)(110) facet.
<p>Optimised structures of ceria (110) and reconstructed (110) facets for CO2 reduction and CO oxidation with and without doping in VASP POSCAR format. Vibrational frequencies are given for structures where Gibbs free energies are used in associated publication.</p>
Health education videos as part of Co-design Activity 2
<p>Five videos were produced for the selected health contents regarding diabetes. They were overlaid with a smartphone frame because they were later tested during Co-evaluation Activity 2. These videos are as follows:</p> <p>1. Brief information about diabetes (can be opened with a video player program) </p> <p>2. How the human body gets energy (can be opened with a video player program) </p> <p>3. Common symptoms of diabetes (can be opened with a video player program)</p> <p>4. Why people become diabetics (can be opened with Internet Explorer)</p> <p>5. Brief information about treatment and self-management (can be opened with a video player program)</p>
ScienceDex guides
Understand access before you commit
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.