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2,885 results for βTransfersβ
Brown dwarf atmosphere intensity grid produced by PICASO radiative transfer code and based on Sonora model atmospheres
<p>Specific intensity in erg s^−1 Hz^−1 sr^−1 cm^−2 on a grid of the cosine of the viewing angle π = cos π, wavelength π, surface effective temperature, and surface gravitational acceleration that was computed from the Sonora pressure-temperature and abundance profiles, using version 2.3 of the open source code PICASO (Batalha et al. 2019; Batalha et al. 2022), which has previously been used to compute the thermal emission spectra of brown dwarfs (e.g. Mang et al. 2022) and exoplanets (e.g. Robbins-Blanch et al. 2022).</p> <p>This grid served as input to software PARS (Paint the Atmospheres of Rotating Stars; Lipatov and Brandt 2020) in an article that predicts the observational effects of rotation in brown dwarfs (Lipatov, Brandt, and Batalha 2022).</p>
Hourly Balancing Authority Transfers, Streamflows, and Climate Data for Carolinas Region
<p>The data contain the electricity transfers and relevant indicators associated with nine exchanges between balancing authorities in the Carolinas region. The information comes from the following sources:</p> <p>Hydrology Dataset from USGS:</p> <p>CPLE<span> </span>02084557- Van Swamp near Hoke, NC</p> <p><span> </span>02089000- Neuse River near Goldsboro, NC</p> <p><span> </span>02087324-Crabtree Creek at US 1 at Raleigh, NC</p> <p>DUK<span> </span>0212427947- Reedy Creek at SR2803 near Charlotte, NC</p> <p><span> </span>0212430653- McKee Creek at SR2804 near Wilgrove, NC</p> <p><span> </span>02124080- Clarke Creek near Harrisburg, NC</p> <p>SC<span> </span>02171500- Santee River near Pineville, SC</p> <p><span> </span>02131010- Pee Dee River below Pee Dee, SC</p> <p><span> </span>02130980- Black Creek near Quinby, SC</p> <p>SCEG<span> </span>02175500- Salkehatchie River near Miley, SC</p> <p><span> </span>02176500- Coosawhatchie River near Hampton, SC</p> <p>YAD<span> </span>02121500- Abbotts Creek at Lexington, NC</p> <p>CPLW<span> </span>02140991- Johns River at Arneys Store, NC</p> <p>*CPLE = Duke Energy Progress East; DUK = Duke Energy Carolina; SC = Santee Cooper; SCEG = South Carolina Electric & Gas Company; YAD = Yadkin, Inc.; CPLW = Duke Energy Progress West</p> <p> </p> <p>Balancing Authority Data</p> <p><span>Nugent J, Chini C M, Peer R A M and Stillwell A S 2023 Monthly virtual water transfers on the U.S. electric grid Environ. Res. Infrastruct. Sustain. 3 035006</span></p> <p><span>Balancing Authority Climate Data</span></p> <p>Burleyson C, Thurber T and Vernon C 2023 Projections of hourly meteorology by balancing authority based on the IM3/HyperFACETS thermodynamic global warming (TGW) simulations (v1.0.0) [Data set] MSD-LIVE Data Repos.</p> <p>NOAA National Centers for Environmental Information 2024 U.S. Air Force 14th weather squadron (2013): United States Air Force 14th weather squadron surface weather observations (restricted). NCEI DSI 9966</p> <p> </p>
Dataset of a heat transfer analysis in the continuous reactor for the dehydrogenation of perhydro benzyltoluene and perhydro dibenzyltoluene
<p>This entry contains data from a heat transfer analysis in a continuous fixed bed reactor for the dehydrogenation of perhydro benzyltoluene and perhydro dibenzyltoluene. The background to it are heat transfer experiments in a fixed-bed tubular reactor with vertical orientation, that were carried out in presence of the chemical reaction. </p> <p><br>Operating conditions for perhydro benzyltoluene (H12-BT): reaction pressure 3 bar(a); heating temperature 290 - 320 °C, feed flow rate 5 - 25 mL/min.<br>Operating conditions for perhydro dibenzyltoluene (H18-DBT): Reaction pressure 3 bar(a); heating temperature 290 - 320 °C, feed flow rate 5 - 25 mL/min.<br>Feed flow rates of 5, 10, 15, 20 and 25 mL/min correspond to hourly liquid space velocities (LHSV) of 0.6, 1.3, 1.9, 2.5 and 3.2 1/h.</p> <p><br>In addition to the local temperature and conversion profiles, the data sets provided contain local heat transfer coefficients as a function of the axial reactor coordinate (T_heat = 320 °C). Global heat transport data includes global heat transfer coefficients, total heat consumption, as well as hydrodynamic characteristics like the fraction of evaporated LOHC and volume ratio of gas to liquid flow. </p>
Dataset for "Shielded laser writing enables the simultaneous growth and transfer of glassy graphene onto silicon for gas sensing applications"
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Figure 5 from: Xu X, Zheng W, Funk VA, Li K, Zhang J, Wen J (2018) Home at last III: Transferring Uechtritzia and Asian Gerbera species into Oreoseris (Compositae, Mutisieae). PhytoKeys 96: 1-19. https://doi.org/10.3897/phytokeys.96.23142
Figure 5 Pollen morphology of Leibnitzia and Amblysperma species.
Figure 3 from: Xu X, Zheng W, Funk VA, Li K, Zhang J, Wen J (2018) Home at last III: Transferring Uechtritzia and Asian Gerbera species into Oreoseris (Compositae, Mutisieae). PhytoKeys 96: 1-19. https://doi.org/10.3897/phytokeys.96.23142
Figure 3 Pollen morphology of Asian Gerbera and Uechtritzia.
Figure 4 from: Xu X, Zheng W, Funk VA, Li K, Zhang J, Wen J (2018) Home at last III: Transferring Uechtritzia and Asian Gerbera species into Oreoseris (Compositae, Mutisieae). PhytoKeys 96: 1-19. https://doi.org/10.3897/phytokeys.96.23142
Figure 4 Pollen morphology of African Gerbera species.
Dataset for the article "Electron-Transfer-Mediated by Detonation Nanodiamonds for Enhanced Cortisol Immunoassay"
<p>Dataset for the article "Electron-Transfer-Mediated by Detonation Nanodiamonds for Enhanced Cortisol Immunoassay".</p> <p>Chakavak Esmaeili1*, Jaroslav KuliΔek1, Markéta Šlapal BaΕinková1, Bohuslav Rezek1*</p> <p>1 Faculty of Electrical Engineering, CTU in Prague, Technicka 2, 16627 Prague, Czech Republic</p> <p>Figure 1. The preparation and immobilization step of the cortisol fabrication based on electrochemical immunosensor <br>Figure 2. 3D AFM images of (1) carbon bare electrode, (2) carbon electrode /DND, (3) carbon electrode/DND/EDC NHS (4) carbon electrode/ DND /EDC NHS/Ab, (5) carbon electrode/ DND /EDC NHS/Ab /BSA, (6) carbon electrode/ DND /EDC NHS/Ab/BSA/Ag<br>Figure 3. Raman spectra of immunosensor composition<br>Figure 4. FTIR spectra of DND (gray line), DND/ EDC NHS (blue line), DND/EDC NHS/Ab (green line). All spectra were recorded in the region between 4000–800 cm−1 with a resolution of 4 cm− 1 and 128 scans<br>Figure 5. Functionalization step. (1) carbon bare electrode, (2) carbon electrode /DND, (3) carbon electrode /DND/EDC NHS, (4) carbon electrode/DND/ EDC NHS/Ab and sensing step (5) carbon electrode/DND/ EDC NHS/Ab/BSA and (6) carbon electrode/DND/ EDC NHS/Ab/BSA/Ag in the presence of 100 nM cortisol in pH 7.0, containing 250 mM KCl and 5 mM K3[Fe(CN)6] and 5 mM K4[Fe(CN)6], Scan rate 0.1Vs−1<br>Figure 6. (a) Calibration curve of DPV with varying Ag concentrations. (b) Sensitivity comparison between configurations without Ab receptor (carbon electrode/DND/EDC NHS/Ag) and with Ab receptor (carbon electrode/DND/EDC NHS/Ab/BSA/Ag) in PBS solution, pH 7.0, containing 250 mM KCl and 5 mM K3[Fe (CN)6] and 5 mM K4[Fe (CN)6]<br>Figure 7. Interference study involving progesterone (2430 pg/ml), β-oestradiol (32 pg/ml), cortisone (28.6 nM), and corticosterone (3.94 nM) with respect to cortisol (100nM)<br>Figure 8. Stability of the immunosensor with repeated measurements of cortisol</p> <p> </p> <p>Figure S1. Optical images obtained for (1) bare carbon electrode, (2) DND, (3) DND/EDC NHS, (4) DND/EDC NHS/Ab, (5) DND/EDC NHS/Ab/BSA, (6) DND/EDC NHS/Ab/BSA/Ag.<br>Figure S2. SEM images of (1) bare carbon SPE, (2) carbon electrode/ DND, (3) carbon electrode/ DND /EDC NHS, (4) carbon electrode/ DND /EDC NHS/Ab, (5) carbon electrode/DND/EDC NHS/Ab/BSA, (6) carbon electrode/ DND /EDC NHS/Ab/BSA/Ag<br>Figure S3. (a) CV and (b) DPV of carbon bare electrode, carbon electrode /EDC NHS, carbon electrode/EDC NHS/Ab, carbon electrode/EDC NHS/Ab/BSA, carbon electrode/EDC NHS/Ab/BSA/Ag, in the presence of 100 nM cortisol, pH 7.0, containing 250 mM KCl and 5 mM K3[Fe(CN)6] and 5 mM K4[Fe(CN)6], Scan rate 0.1Vs−1.</p> <p><br>Table 1. Determination of cortisol in artificial saliva sample (n = 3)<br>Table S1. Surface roughness of immunosensors</p>
Data from: Increased dopamine release after working-memory updating training: neurochemical correlates of transfer
Previous work demonstrates that working-memory (WM) updating training results in improved performance on a letter-memory criterion task, transfers to an untrained n-back task, and increases striatal dopamine (DA) activity during the criterion task. Here, we sought to replicate and extend these findings by also examining neurochemical correlates of transfer. Four positron emission tomography (PET) scans using the radioligand raclopride were performed. Two of these assessed DAD2 binding (letter memory; n-back) before 5 weeks of updating training, and the same two scans were performed post training. Key findings were (a) pronounced training-related behavioral gains in the letter-memory criterion task, (b) altered striatal DAD2 binding potential after training during letter-memory performance, suggesting training-induced increases in DA release, and (c) increased striatal DA activity also during the n-back transfer task after the intervention, but no concomitant behavioral transfer. The fact that the training-related DA alterations during the transfer task were not accompanied by behavioral transfer suggests that increased DA release may be a necessary, but not sufficient, condition for behavioral transfer to occur.
FIG. 2 in Australian representatives of Macrostelia transferred to Hibiscus (Malvaceae), with the description of a new species
FIG. 2. β Holotype of Hibiscus propulsator Craven & B.E. Pfeil.
Radiative transfer modeling in structurally-complex stands: towards a better understanding of parametrization: Dataset
<p>This repository is linked to the paper "Radiative transfer modeling in structurally-complex stands: towards a better understanding of parametrization" submitted to Annals of Forest Science and written by Frédéric ANDRÉ (corresponding author), Louis DE WERGIFOSSE, François DE COLIGNY, Nicolas BEUDEZ, Gauthier LIGOT, Vincent GAUTHRAY-GUYÉNET, Benoit COURBAUD and Mathieu JONARD.</p> <p>The repository contains the two following archive files:</p> <ul> <li>RadiationDataset.zip: gather the HETEROFOR model input files containing the measured understorey radiation values, and the position and main characteristics (girth of the trunk at breast height, total height, height of largest crown extension, height of crown base and crown radii in four directions) of the trees in the surrounding of the radiation measurement locations</li> <li>GrowthDataset.zip: gather the following HETEROFOR model input files for each of the six plots considered for growth measurements: <ul> <li>Inventory files at the beginning and at the end of the growth period</li> <li>Thinning file, containing the list of the trees harvested during the study period</li> <li>Fruit litter fall file: fruit litter fall (kgC/ha) measured each year, determined separatly for each of the main species</li> <li>Soil horizon file: containing the main physico-chemical characteristics of the soil horizons</li> <li>Meteorology file: containing hourly records of the main meteorological variables (total radiation, air temperature, soil surface temperature, rainfall depth, air relative humidity, wind speed, wind direction, diffuse/global radiation ratio)</li> </ul> </li> </ul> <p>For more information concerning this repository or the study, please do not hesitate to contact Frédéric ANDRÉ (frederic.andre@uclouvain.be) or Mathieu JONARD (mathieu.jonard@uclouvain.be).</p>
Comparison of Radiative Transfer schemes for the calculation of aerosol radiative forcing in Mars' atmosphere 2.0
<p>Data-sets of figures (1 to 10) for the Comparison of radiative transfer schemes for the calculation of aerosol radiative forcing in the atmosphere of Mars. (Revision: 2)</p>
Figure 4 from: Krapp T (2011) On the Austral-Antarctic stenothoids Proboloides, Metopoides, Torometopa and Scaphodactylus (Crustacea Amphipoda) Part 2: the genus Proboloides, with description of two new genera and the transfer of two nominal species to Metopoides. ZooKeys 86: 11-45. https://doi.org/10.3897/zookeys.86.785
Figure 4 - Metopoides typicus (Walker, 1906): Cape Bird, Southern Rookery; AMS.
Figure 5 from: Krapp T (2011) On the Austral-Antarctic stenothoids Proboloides, Metopoides, Torometopa and Scaphodactylus (Crustacea Amphipoda) Part 2: the genus Proboloides, with description of two new genera and the transfer of two nominal species to Metopoides. ZooKeys 86: 11-45. https://doi.org/10.3897/zookeys.86.785
Figure 5 - Proboloides stephenseni Ruffo, 1949: Antarctica (70Β°23'0"S, 82Β°47'0"W); MCV.
Figure 2 from: Krapp T (2011) On the Austral-Antarctic stenothoids Proboloides, Metopoides, Torometopa and Scaphodactylus (Crustacea Amphipoda) Part 2: the genus Proboloides, with description of two new genera and the transfer of two nominal species to Metopoides. ZooKeys 86: 11-45. https://doi.org/10.3897/zookeys.86.785
Figure 2 - Malvinometopa porcellana (K.H. Barnard, 1932): Discovery Reports St. 51, Falklands.
Figure 7 from: Krapp T (2011) On the Austral-Antarctic stenothoids Proboloides, Metopoides, Torometopa and Scaphodactylus (Crustacea Amphipoda) Part 2: the genus Proboloides, with description of two new genera and the transfer of two nominal species to Metopoides. ZooKeys 86: 11-45. https://doi.org/10.3897/zookeys.86.785
Figure 7 - ?Proboloides holmesi Bousfield, 1973: Raunefjorden near Bergen; MCV.
Figure 3 from: Krapp T (2011) On the Austral-Antarctic stenothoids Proboloides, Metopoides, Torometopa and Scaphodactylus (Crustacea Amphipoda) Part 2: the genus Proboloides, with description of two new genera and the transfer of two nominal species to Metopoides. ZooKeys 86: 11-45. https://doi.org/10.3897/zookeys.86.785
Figure 3 - Metopoides typicus (Walker, 1906): Cape Bird, Southern Rookery; AMS.
Figure 1 from: Krapp T (2011) On the Austral-Antarctic stenothoids Proboloides, Metopoides, Torometopa and Scaphodactylus (Crustacea Amphipoda) Part 2: the genus Proboloides, with description of two new genera and the transfer of two nominal species to Metopoides. ZooKeys 86: 11-45. https://doi.org/10.3897/zookeys.86.785
Figure 1 - Malvinometopa porcellana (K.H. Barnard, 1932): Discovery Reports St. 51, Falklands.
Figure 6 from: Krapp T (2011) On the Austral-Antarctic stenothoids Proboloides, Metopoides, Torometopa and Scaphodactylus (Crustacea Amphipoda) Part 2: the genus Proboloides, with description of two new genera and the transfer of two nominal species to Metopoides. ZooKeys 86: 11-45. https://doi.org/10.3897/zookeys.86.785
Figure 6 - ?Proboloides holmesi Bousfield, 1973: Raunefjorden near Bergen; MCV.
Figure 4 from: Wu W, Tsai M (2011) A new Chorizococcus species (Hemiptera: Coccoidea: Pseudococcidae) from Taiwan with transferring Chorizococcus mirzayansi Moghaddam to genus Spilococcus Ferris. ZooKeys 103: 27-40. https://doi.org/10.3897/zookeys.103.1215
Figure 4 - Second-instar female of Chorizococcus zoysiae Tsai, sp. n.
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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.