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6,467 results for “process”
First Observation of Dart Leader-M Component Process in a Rocket Triggered Lightning Flash
<p>A rare dart leader (DL)-M component process in a double-branch lightning flash was analyzed through high-speed camera and synchronizing current and electric field data.</p>
Data from: Comparative studies on water- and vapor-based hydrothermal carbonization: process analysis
<p>Hydrothermal carbonization (HTC) reactor systems used to convert wet organic wastes into value-added hydrochar are generally classified in the literature as liquid water-based (HTC) or vapor-based (VTC). However, the distinction between the two is often ambiguous. In this paper, we theoretically developed models for predicting reactor pressure, volume fraction of liquid water, and water distribution between phases as a function of temperature.</p>
Our processed LoveDA dataset for "LOANet: A Lightweight Network Using Object Attention for Extracting Buildings and Roads from UAV Aerial Remote Sensing Images"
<p>Our processed LoveDA dataset is used for the paper "<a href="https://doi.org/10.7717/peerj-cs.1467">LOANet: A Lightweight Network Using Object Attention for Extracting Buildings and Roads from UAV Aerial Remote Sensing Images</a>"</p>
Our processed CITY_OSM dataset for "LOANet: A Lightweight Network Using Object Attention for Extracting Buildings and Roads from UAV Aerial Remote Sensing Images"
<p>Our processed CITY_OSM dataset is used for the paper "<a href="https://doi.org/10.7717/peerj-cs.1467">LOANet: A Lightweight Network Using Object Attention for Extracting Buildings and Roads from UAV Aerial Remote Sensing Images</a>".</p>
A Three-step Process to Isolate Large Quantities of Bioactive Sesquiterpene Lactones from Cichorium intybus L. Roots and Semi-synthesis of Chicory STLs Standards
<p>Supplementary Information:</p> <p>NMR spectra of DHLc, Lc, DHLc-Me-oxalate, Lc-Me-oxalate, DHLc-oxalate, Lc-oxalate, DHLc-glycoside; Figure S1: HPLC profiles (254 and 320 nm) of a water/methanol 50/50 and pure water extracts and different content in 3-CQA; Figure S2: Base peak chromatogram (BPC, All − MS) of a water chicory extract obtained in the positive mode; diagnostic fragment ions in the positive mode for DHLc-gly, DHLc-ox, DHLc, Lc-ox, Lc.</p>
Post-processed CTD Near-full-depth Data at ER-0121 Site
<p>This dataset consists of post-processed CTD near-full-depth data acquired between 1999 and 2003 at the ER-0121 site (36° 18’ N, 16° 6’ E) in the Ionian Sea (Mediterranean Sea). Original raw data were provided by Giorgio Riccobene and Antonio Capone. The CTD profiles were collected in the framework of the Cubic Kilometre Neutrino Telescope (KM3NeT) project (Katz, 2006; Rubino et al., 2012). Specifically, they were acquired during EMTEC cruises (April–May 1999), SINAPSI-4 cruise (March–April 2002), and Poseidon Cruise 298 (May 2003).</p> <p><strong>References:</strong><br> Katz, U. F. (2006). KM3NeT: Towards a km3 Mediterranean neutrino telescope. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 567(2), 457–461.<br> Rubino, A., Falcini, F., Zanchettin, D., Bouche, V., Salusti, E., Bensi, M., Riccobene, G., De Bonis, G., Masullo, R., Simeone, F., Piattelli, P., Sapienza, P., Russo, S., Platania, G., Sedita, M., Reina, P., Avolio, R., Randazzo, N., Hainbucher, D., & Capone, A. (2012). Abyssal undular vortices in the Eastern Mediterranean basin. Nature Communications, 3(1), 834.<br> Riccobene, G., Capone, A., Aiello, S., Ambriola, M., Ameli, F., Amore, I., ... & Vicini, P. (2007). Deep seawater inherent optical properties in the Southern Ionian Sea. Astroparticle Physics, 27(1), 1-9.<br> Adrian-Martinez, S., Ageron, M., Aharonian, F., Aiello, S., Albert, A., Ameli, F., ... & Markou, C. (2016). Letter of intent for KM3NeT 2.0. Journal of Physics G: Nuclear and Particle Physics, 43(8), 084001.<br> Migneco, E., Aiello, S., Aloisio, A., Ameli, F., Amore, I., Anghinolfi, M., ... & Wischnewski, R. (2008). Recent achievements of the NEMO project. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 588(1-2), 111-118.</p>
Figure 1 in Male homophily in South American herpetology: one of the major processes underlying the gender gap in publications
Figure 1. Co-authorship networks of two South American herpetological journals, considering multiple-authored articles published. Each point represents an author colored by gender, and each line represents a co-authorship connection in a publication. The enlightened areas are the most connected clusters in each network. Pie-charts show the distribution of connections by gender. Barplots show the gender distribution of the first 40 higher betweenness scores. (A-C) Cuadernos de Herpetología's network of papers published between 1985 and 2019. (D-F) South American Journal of Herpetology's network of papers published between 2006 and 2019. Abbreviations: MM = man–man connections; WM = woman–man connections; WW = woman–woman connections.
Figure 2 in Male homophily in South American herpetology: one of the major processes underlying the gender gap in publications
Figure 2. Bibliometric data of nine herpetological journals. (A-C) Gender ratio in papers published during 2018 and 2019, considering different taxonomic groups and sub-areas. Multi authored papers considering the journal's qualies: (D) gender composition within publishing groups, and (E-J) gender participation in protagonic roles and its effect on the proportion
Processed dataset used to train models in the study "Integrative modeling of lncRNA-chromatin interaction maps reveals diverse mechanisms of nuclear retention"
<p>The processed dataset used to train models in the study "Integrative modeling of lncRNA-chromatin interaction maps reveals diverse mechanisms of nuclear retention".</p>
Figure 2 in Male homophily in South American herpetology: one of the major processes underlying the gender gap in publications
Figure 2. Bibliometric data of nine herpetological journals. (A-C) Gender ratio in papers published during 2018 and 2019, considering different taxonomic groups and sub-areas. Multi authored papers considering the journal's qualies: (D) gender composition within publishing groups, and (E-J) gender participation in protagonic roles and its effect on the proportion of female co-authors. Single authored papers: (K) gender distribution on average and discriminated by journal's qualies. Editorial Boards by journals in 2019: (L) gender proportion within each journal, and (M) percentage of similarity between members of different journals. Abbreviations: ACTH = Acta Herpetologica; AFJH = African Journal of Herpetology; BG = Biogeography; CHER = Cuadernos de Herpetología; CM = Communication; CS = Conservation; EC = Ecology; ET = Ethology; HBUL = Herpetological Bulletin; HEGI = Herpetologica; HEMO = Herpetological Monographs; HREV = Herpetological Review; MO = Morphology; PHYL = Phyllomedusa; SAJH = South American Journal of Herpetology; SI = Systematics; Q1 = 1st quartile; Q2 = 2nd quartile; Q3 = 3rd quartile; Q4 = 4 Downloaded th quartilefrom
Data from: In situ 15N-N2O site preference and O2 concentration dynamics disclose the complexity of N2O production processes in agricultural soil
<p class="MsoNormal"><span>Arable soil continues to be the dominant anthropogenic source of nitrous oxide (N<sub>2</sub>O) emissions owing to application of nitrogen (N) fertilizers </span><span>and manures across the world. Using</span><span> laboratory </span><span>and </span><em><span>in-situ</span></em><span> studies to elucidate the key factors controlling soil N<sub>2</sub>O emissions remains challenging due to the potential importance of multiple complex processes. We<em> </em>examined soil surface N<sub>2</sub>O fluxes in an arable soil, combined with<em> in-situ</em> high</span><span>-</span><span>frequency measurements of soil matrix oxygen (O<sub>2</sub>) and N<sub>2</sub>O concentrations, </span><em><span>in situ</span></em><span> <sup>15</sup>N labeling, and</span><span> N<sub>2</sub>O <sup>15</sup>N site preference (SP). The </span><em><span>in situ</span></em><span> O<sub>2</sub> concentration and further microcosm visualized spatiotemporal distribution of O<sub>2</sub> both suggested that O<sub>2</sub> dynamics were the proximal determining factor to matrix N<sub>2</sub>O concentration and fluxes due to quick O<sub>2</sub> depletion after N fertilization. Further SP analysis<em> </em>and<em> in situ</em> <sup>15</sup>N labeling experiment revealed </span><span>that the main source for N<sub>2</sub>O emissions was bacterial denitrification during the hot-wet summer with lower soil </span><span>O<sub>2</sub></span><span> concentration, while nitrification or fungal denitrification contributed about 50<span>.0</span>% to total emissions during the cold-dry winter with higher soil </span><span>O<sub>2</sub></span><span> concentration. </span><span>The robust positive correlation between O<sub>2</sub> concentration and SP values underpinned that the O<sub>2</sub> dynamics were the key factor to differentiate the composite processes of N<sub>2</sub>O production in <em>in situ</em> structured soil. Our findings deciphered the complexity of N<sub>2</sub>O production processes in real field conditions, and suggest that O<sub>2</sub> dynamics rather than stimulation of functional gene abundances play a key role in controlling soil N<sub>2</sub>O production processes in undisturbed structure soils. </span><span>Our results help to develop targeted N<sub>2</sub>O mitigation measures and to improve process models for constraining global N<sub>2</sub>O budget.</span></p>
Process development and analyses for the co-production of 2-methyltetrahydrofuran and 1,4-pentanediol from lignocellulosic biomass
<p>The development of technologies for utilizing biomass has attracted attention because biomass can be produced sustainably worldwide. Biomass-derived 2-methyltetrahydrofuran (MTHF), which is a promising alternative to gasoline, has great market potential and a growing demand. However, in conventional biomass conversion processes, the minimum selling price (MSP) of biochemicals is not economically acceptable. Co-production of biochemicals can increase the economics of biomass utilization. Herein, we developed a process for coproducing MTHF and 1,4-pentanediol (1,4-PDO) from lignocellulosic biomass. After biomass fractionation, cellulose and hemicellulose were converted to levulinic acid (LA), and lignin was used for heat and electricity generation. LA was then converted to γ-valerolactone (GVL). As a platform material for co-production, GVL was converted into MTHF and 1,4-PDO in each subsystem. The split ratio of GVL was controlled to efficiently produce MTHF and 1,4-PDO according to market conditions. Additionally, we performed a techno-economic and life-cycle assessment (TEA and LCA, respectively) for the developed process. The MSP of MTHF was calculated based on the TEA results, and the environmental impacts were quantitatively calculated based on the LCA results. We performed heat integration using pinch analysis and then reduced the energy requirement of the proposed process. The key cost drivers and environmental factors of the proposed process were identified via sensitivity analyses. Consequently, during the processing of 2,000 ton/day of corn stover (raw material of lignocellulose), the MSP of MTHF was calculated as $2.64/GGE (gasoline equivalent), and representative environmental impacts such as climate change and fossil depletion were calculated as -0.296 kg CO2 eq and -0.056 kg oil eq, respectively. <a name="_Hlk131691308"></a>As a result, we can increase the economics of commercial production of MTHF and 1,4-PDO with environmental sustainability. The proposed process can serve as a potential solution to the growing demand for the need for more sustainable biomass utilization.</p>
Processed data for TransRR
<p>Processed data for TransRR</p>
Tide and TWL Stations for "Understanding Nonlinear Interactions Between Barotropic and Baroclinic Processes in a Global Tide and Storm Surge Model"
<p>This is a dataset that contains the tidal and total water level stations used in my dissertation.</p>
Fig. 3 in Research Reconciling fossils with phylogenies reveals the origin and macroevolutionary processes explaining the global cycad biodiversity
Fig. 3 Ages of extant genera and fossil placements. (a) Phylogenetic relationships for extant (genera are collapsed) and extinct cycads with support values (Posterior Probability indicated when> 0.3). Node support for extant genera is only indicated when <1. (b) Posterior distributions for the crown ages of the extant genera. Eo, Eocene; M, Miocene; N, Neogene; O, Oligocene; Pg, Paleogene. Ma, million years ago.
Fig. 2 in Research Reconciling fossils with phylogenies reveals the origin and macroevolutionary processes explaining the global cycad biodiversity
Fig. 2 Bayesian total-evidence dated phylogeny of Cycadales. This chronogram is the resulting consensus tree from the MrBayes analyses performed with the fossilized-birth-death model and an uncorrelated relaxed molecular clock. The tree includes 321 extant species and 60 extinct species with median divergence times along with 95% Highest Posterior Density (blue bars) for each node. C, Carboniferous; J, Jurassic; K, Cretaceous; N, Neogene; P, Permian; Pg, Paleogene; T, Triassic.
Best Learned Models: End-to-end Learning for Land Cover Classification using Irregular and Unaligned SITS by Combining Attention-Based Interpolation with Sparse Variational Gaussian Processes
<p>Best learned model learned with the dataset available <a href="http://https://doi.org/10.5281/zenodo.8033058">here</a> for the mTAN-GP, mTAN-MLP, mTAN-LTAE, and raw-LTAE.</p> <p>For further details see the pre-print article "End-to-end Learning for Land Cover Classification using Irregular and Unaligned SITS by Combining Attention-Based Interpolation with Sparse Variational Gaussian Processes ". This article is available : <a href="https://hal.science/hal-04112115">here</a>.</p> <p>The implementation of the models is available in the <a href="https://gitlab.cesbio.omp.eu/belletv/land_cover_southfrance_mtan_gp_irregular_sits">open source repository</a>.</p>
Fig. 4 in Research Reconciling fossils with phylogenies reveals the origin and macroevolutionary processes explaining the global cycad biodiversity
Fig. 4 Historical biogeography of cycads. Estimates of ancestral areas were performed with a time-stratified model in Dispersal–Extinction–Cladogenesis (DEC) with fossils included (a) and with fossils excluded (b). The extant genera have been collapsed to focus on deep-time biogeography (for details within each genus, see Supporting Information Fig. S6 when fossils are included and Fig. S7 when fossils are excluded). The bottom-right corner legend indicates colored areas used in this study corresponding to colored squares for each node, representing inferred ancestral area(s) with the DEC model, and colored circles for fossil species representing known distributions (except for extant genera with one or two species only). The red-highlighted shades show the cycad expansion into Gondwana during the Jurassic and Cretaceous. The bottom-left corner map represents the global paleogeography in the Jurassic (180 million years ago (Ma)). Paleomap used with permission © 2020 Colorado Plateau Geosystems Inc. Arrows indicate fossil species illustrated. Pictures from Mario Coiro. C, Carboniferous; N, Neogene; Perm, Permian; Pg, Paleogene.
Classification Data set: End-to-end Learning for Land Cover Classification using Irregular and Unaligned SITS by Combining Attention-Based Interpolation with Sparse Variational Gaussian Processes
<p>Classification data set (train, validation, test) from the study area based on 27 tiles on the south of the France. This dataset contains irregular and unaligned SITS with their corresponding masks. 9 different random sampling are provided. This data set was used to train mTAN-GP, mTAN-MLP, mTAN-LTAE and raw-LTAE.</p> <p>For further details see the pre-print article "End-to-end Learning for Land Cover Classification using Irregular and Unaligned SITS by Combining Attention-Based Interpolation with Sparse Variational Gaussian Processes ". This article is available : <a href="https://hal.science/hal-04112115">here</a>.</p> <p>The implementation of the models is available in the <a href="https://gitlab.cesbio.omp.eu/belletv/land_cover_southfrance_mtan_gp_irregular_sits">open source repository</a>.</p>
Fig. 1 in Research Reconciling fossils with phylogenies reveals the origin and macroevolutionary processes explaining the global cycad biodiversity
Fig. 1 Global distribution of Cycadales. (a) Species richness of the 10 extant cycad genera across continents. (b) IUCN threat categories for 337 extant cycad species (redrawn from IUCN, 2022). (c) Map showing the extant distribution of cycad diversity (red areas) and sampled fossil localities (purple dots), indicating broader geographic distribution in the past.
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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.