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4,489 results for “transitivity”
Supplementary Information of Multistage Provincial Power Expansion Planning and Market Design toward Energy Transition: A Case Study of Xinjiang in China
<p>Supplementary Information of Multistage Provincial Power Expansion Planning and Market Design toward Energy Transition: A Case Study of Xinjiang in China</p>
Dataset related to ADHD phase 2 of the project "Transition care between adolescent and adult services for young people with chronic health needs in Italy", funded by the Italian Ministry of Health (RF-2019-12371228).
<p>Dataset related to ADHD phase 2 of the project "Transition care between adolescent and adult services for young people with chronic health needs in Italy", funded by the Italian Ministry of Health (RF-2019-12371228).</p>
Data for "Neutron scattering and neural-network quantum molecular dynamics investigation of the vibrations of ammonia along the solid-to-liquid transition"
<p>Data for "Neutron scattering and neural-network quantum molecular dynamics investigation of the vibrations of ammonia along the solid-to-liquid transition".</p> <p>neutron_data.zip --> neutron data in .nxspe form. S(Q,E) calculated using the DAVE software. Includes logbook spreadsheet. </p> <p>Training_Data.xyz --> xyz file containing training data used to generate Allegro machine learning forcefield in the paper</p> <p>nh3_pimd.deploy --> Trained Allegro model to that can be used in LAMMPS and RXMD software a ML forcefield </p> <p>POSCAR_UNIT_CELL_AMMONIA --> NH3 unit cell in solid phase in POSCAR format that can be read by the VASP software used to perform the DFT simmulations.</p>
First- and second-order phase transitions in electronic excitable units and neural dynamics under global inhibitory feedback
<p>These are experimental time series and video data for an electronic model of neural dynamics consisting of a bi-dimensional array of neon glow lamps, where global inhibition can be simply introduced through a resistor in series with the supply voltage. They are provided to support the replication of the results reported in the associated publication, as well as any further public-domain academic research in the field of neural dynamics, nonlinear electronic circuits, and related aspects, in compliance with the specified license terms and all applicable legal clauses.</p> <p>The following reference must be cited when using these data:</p> <p>Minati L, Scarpetta S, Andelic M, Valdes-Sosa PA, Ricci L, de Candia A, First- and second-order phase transitions in electronic excitable units and neural dynamics under global inhibitory feedback, Chaos, Solitons and Fractals 182 (2024) 114701, DOI https://doi.org/10.1016/j.chaos.2024.114701.</p> <p>L.M. gratefully acknowledges the support of the ``Hundred Talents'' program of the University of Electronic Science and Technology of China, and the support of the ``Excellent Young Scientists Fund Program (Overseas)'' program of the National Natural Science Foundation of China. All experimental activities were self-funded and conducted by L.M. during the period 2020--2021 using own independent assets located in Grigno TN, Italy; the manuscript was later finalized after joining the University of Electronic Science and Technology of China, to which no equipment was transferred. This work has been supported by the Chengdu Science and Technology Bureau Program under Grant 2022GH02-00042-HZ and the CNS program of UESTC No. Y0301902610100201. The authors are grateful to Gabriele Brugnoni of DVE Progettazione Elettronica (Casciago VA, Italy) for essential workshop and manufacturing support.</p>
Research data supporting 'Machine-Learned Interatomic Potentials for Transition Metal Dichalcogenide Mo1−xWxS2−2ySe2y Alloys'
<p>Research data supporting 'Machine-Learned Interatomic Potentials for Transition Metal Dichalcogenide Mo1−xWxS2−2ySe2y Alloys'</p>
Representative data accompanying the manuscript: Four-dimensional quantitative analysis of cell plate development in Arabidopsis using lattice light sheet microscopy identifies robust transition points between growth phases
<p>Representative data accompanying the manuscript: Sinclair R, Wang M, Jawaid MZ, Longkumer T, Aaron J, Rossetti B, Wait E, McDonald K, Cox D, Heddleston J, Wilkop T, Drakakaki G. (2024). <em>Four-dimensional quantitative analysis of cell plate development in Arabidopsis using lattice light sheet microscopy identifies robust transition points between growth phases.</em> J Exp Bot. 2024 Mar 4: erae091. doi: 10.1093/jxb/erae091.</p> <p>The data show YFP–RABA2a dynamics in dividing cells of Arabidopsis root tips using lattice light sheet microscopy. Treatments with or without Endosidin 7, a cytokinesis-specific callose deposition inhibitor, are shown.</p> <p>Data: </p> <p>22.3 YFP-RABA2A. </p> <p>23.9 YFP-RABA2A ES7 </p>
Figure 2 in Interactions of daylength, temperature and nutrients affect thresholds for life stage transitions in the kelp Laminaria digitata (Phaeophyceae)
Figure 2: Effects of temperature, nutrient availability and daylength on the development of ontogenetic stages of Laminaria digitata over time (mean values, n = 4). Counting was done every 5 days over a period of 20 days. SE-values are omitted for clarity.
Figure 3 in Interactions of daylength, temperature and nutrients affect thresholds for life stage transitions in the kelp Laminaria digitata (Phaeophyceae)
Figure 3: Effects of temperature, nutrient availability and daylength on the recruitment capacity of juvenile sporophytes of Laminaria digitata after 20 days. (A) Percentage of female gametophyte fragments with juvenile sporophytes. (B) Absolute number of normal sporophytes cm−2. (C) Absolute number of loose lying and/or abnormal sporophytes cm−2 considered to represent partheno-sporophytes. (D) Absolute number of normal sporophytes and partheno-sporophytes together. Values are expressed as the mean ± SE (n = 4). See Tables 2 and 3 for results of statistical analysis.
Figure 1 in Interactions of daylength, temperature and nutrients affect thresholds for life stage transitions in the kelp Laminaria digitata (Phaeophyceae)
Figure 1: Effects of temperature, nutrient availability and daylength on gametophyte surface area of Laminaria digitata after 7 days. Values are expressed as the mean ± SE (n = 4). Dotted line represents the mean value of gametophyte surface area on day 0. Different letters indicate significant differences among the means for each temperature. See Table 1 for results of statistical analysis.
Transition Edge Sensor Signals (Ottawa)
<h1>Content</h1> <p>Transition Edge Sensor (TES) signals from the Ultrafast Quantum Photonics group. </p> <h2>Format</h2> <p>The files use "," as a separator.</p> <h2>Files</h2> <table> <tbody> <tr> <td>File</td> <td>Description</td> </tr> <tr> <td>traces_attn_XdB.csv</td> <td>TES signals produced by progressively attenuating a laser source by X dB.</td> </tr> <tr> <td>noise.csv</td> <td>The TES signals were produced by detecting light generated by an integrated optical parametric oscillator (OPO) pumped below threshold using a pulsed-carved continuous wave laser. The OPO generated signal photons following a quasi-thermal distribution. In addition, noise photons from the pump leaked into the detected mode due to imperfect pulse carving and filtering. These noise photons were generated at random times relative to the signal photons.</td> </tr> </tbody> </table> <p> </p>
Data for: "Rapid crustal transit of magmas beneath the Main Ethiopian Rift"
<p>Datasets for the manuscript 'Rapid crustal transit of magma drives magmatic rifting in Ethiopia'.</p> <p>- Dataset S1: Tabulated analytical standards, secondary standards, and data.<br>- Dataset S2: SEM imagery, model files, and additional figures, sorted by profile.</p>
Storage and Transit Time Data and Code
<p>Author: Andrew J. Felton<br>Date: 11/15/2024</p> <p>This R project contains the primary code and data (following pre-processing in python) used for data production, manipulation, visualization, and analysis, and figure production for the study entitled:</p> <p>"Global estimates of the storage and transit time of water through vegetation"</p> <p>Please note that 'turnover' and 'transit' are used interchangeably. Also please note that this R project has been updated multiple times as the analysis has updated throughout the peer review process.</p> <p>#Data information:</p> <p>The data folder contains key data sets used for analysis. In particular:</p> <p>"data/turnover_from_python/updated/august_2024_lc/" contains the core datasets used in this study including global arrays summarizing five year (2016-2020) averages of mean (annual) and minimum (monthly) transit time, storage, canopy transpiration, and number of months of data able as both an array (.nc) or data table (.csv). These data were produced in python using the python scripts found in the "supporting_code" folder. The remaining files in the "data" and "data/supporting_data" folder primarily contain ground-based estimates of storage and transit found in public databases or through a literature search, but have been extensively processed and filtered here. The "supporting_data"" folder also contains annual (2016-2020) MODIS land cover data used in the analysis and contains separate filters containing the original data (.hdf) and then the final process (filtered) data in .nc format. The resulting annual land cover distributions were used in the pre-processing of data in python.</p> <p>#Code information</p> <p>Python scripts can be found in the "supporting_code" folder. </p> <p>Each R script in this project has a role:</p> <p>"01_start.R": This script sets the working directory, loads in the tidyverse package (the remaining packages in this project are called using the `::` operator), and can run two other scripts: one that loads the customized functions (02_functions.R) and one for importing and processing the key dataset for this analysis (03_import_data.R).</p> <p>"02_functions.R": This script contains custom functions. Load this using the `source()` function in the 01_start.R script. </p> <p>"03_import_data.R": This script imports and processes the .csv transit data. It joins the mean (annual) transit time data with the minimum (monthly) transit data to generate one dataset for analysis: annual_turnover_2. Load this using the <br> `source()` function in the 01_start.R script. </p> <p>"04_figures_tables.R": This is the main workhouse for figure/table production and supporting analyses. This script generates the key figures and summary statistics used in the study that then get saved in the "manuscript_figures" folder. Note that all maps were produced using Python code found in the "supporting_code"" folder. Also note that within the "manuscript_figures" folder there is an "extended_data" folder, which contains tables of the summary statistics (e.g., quartiles and sample sizes) behind figures containing box plots or depicting regression coefficients. </p> <p>"supporting_generate_data.R": This script processes supporting data used in the analysis, primarily the varying ground-based datasets of leaf water content.</p> <p>"supporting_process_land_cover.R": This takes annual MODIS land cover distributions and processes them through a multi-step filtering process so that they can be used in preprocessing of datasets in python.</p> <p> </p> <p> </p>
Reef fish assemblage through space and time in a thermal transition zone in the southwestern Atlantic
Open the record for dataset details and reuse information.
Intermittent, Heterogeneous, and Transient River-Groundwater Transitions from Disconnection to Connection
<p>This repository includes the data for model setup and HYDRUS-2D input/output files.</p> <p>The first version was released on 05/24/2024. The second version was released on 12/17/2024. </p>
Multi-level emission impacts under rapid electrification and uncertain coal power phase-out in China's netzero transition
<p>This contains the data and plotting script of the second preprint "Multi-level emission impacts under rapid electrification and uncertain coal power phase-out in China’s netzero transition"</p>
Data for 'Tomography of upper mantle and transition zone in Southeast Asia'
<p>Two checkerboard results, a synthetic test and a ISC-EHB tomography result using AST method. See the readme.txt file for details.</p>
Subspecies and Distribution. E.z.zebraLinnaeus,1758—SSouthAfrica(S&WedgeofthecentralplateauintheEasternandWesternCapeProvinces). E. z. hartmannae Matschie, 1898 — W Namibia (mountainous transition zone between the Namib Desert and the Namibian central plateau); possibly in SW Angola. in Equidae
Subspecies and Distribution. E.z.zebraLinnaeus,1758—SSouthAfrica(S&WedgeofthecentralplateauintheEasternandWesternCapeProvinces). E. z. hartmannae Matschie, 1898 — W Namibia (mountainous transition zone between the Namib Desert and the Namibian central plateau); possibly in SW Angola.
Subspecies and Distribution. T.n.napuF.Cuvier,1822—SMyanmar,Thai/MalayPeninsula,islandsoffWMalayPeninsula(Langkawi&Pangkor),Borneo,SSumatra,BangkaI,islandsoffBorneo(Laut&Serasan). T.n.bangue:Chasen&Kloss,1931—BanggiIandBalembanganI,offNBorneo. T.n.bunguranensisMiller,1901—NatunaIs(=Bunguran),oftWBorneo. T.n.neubronneriSody,1931—NSumatra. T.n.nmiasisLyon,1916—NiasI,offWSumatra. T.n.rufulusMiller,1900—TiomanI,offEMalayPeninsula,RiauandLinggaArchipelagos. T. n. terutus Thomas & Wroughton, 1909 — Terutau I, off W Malay Peninsula. The species was recently reconfirmed for Singapore. Maps that include Vietnam, Cambodia, and Laos in the distribution range are based on the earlier assumption that 7. versicolor was a subspecies of 1. napu. Subsequent studies have indicated that 7. versicolor is a distinct species, and that the range of 1. napu therefore does not extend into Cambodia, Laos, and Vietnam. The northern limit on the Thai-Malay peninsula is not well defined. Specimens of 1. napu have been collected from as far north as Bankachon in southern Myanmar (10° 08" N), but despite fairly intensive camera-trapping in Kui Buri National Park, Thailand (12° N), 7. napu has not been photographed there. At the northern margin ofits range, it is generally rare. It has been reported, for example, that during the flooding of the Chiew Larn Reservoir (Surat Thani Province; about 9° N, 98° 45' E), only six 7. napu were rescued compared with 172 71. kanchil. This area is the transition zone from wetter evergreen forest to drier deciduous types, and it might be that 7° napu is not well adapted to the drier forest types towards the northern limit ofits range. There are unconfirmed reports of the species on Java, where it may have been confused with one of the two color morphs of 7. javanicus. As explained in the Taxonomy section, the subspecific status of the populations of several islands remains unclear. in Tragulidae
Subspecies and Distribution. T.n.napuF.Cuvier,1822—SMyanmar,Thai/MalayPeninsula,islandsoffWMalayPeninsula(Langkawi&Pangkor),Borneo,SSumatra,BangkaI,islandsoffBorneo(Laut&Serasan). T.n.bangue:Chasen&Kloss,1931—BanggiIandBalembanganI,offNBorneo. T.n.bunguranensisMiller,1901—NatunaIs(=Bunguran),oftWBorneo. T.n.neubronneriSody,1931—NSumatra. T.n.nmiasisLyon,1916—NiasI,offWSumatra. T.n.rufulusMiller,1900—TiomanI,offEMalayPeninsula,RiauandLinggaArchipelagos. T. n. terutus Thomas & Wroughton, 1909 — Terutau I, off W Malay Peninsula. The species was recently reconfirmed for Singapore. Maps that include Vietnam, Cambodia, and Laos in the distribution range are based on the earlier assumption that 7. versicolor was a subspecies of 1. napu. Subsequent studies have indicated that 7. versicolor is a distinct species, and that the range of 1. napu therefore does not extend into Cambodia, Laos, and Vietnam. The northern limit on the Thai-Malay peninsula is not well defined. Specimens of 1. napu have been collected from as far north as Bankachon in southern Myanmar (10° 08" N), but despite fairly intensive camera-trapping in Kui Buri National Park, Thailand (12° N), 7. napu has not been photographed there. At the northern margin ofits range, it is generally rare. It has been reported, for example, that during the flooding of the Chiew Larn Reservoir (Surat Thani Province; about 9° N, 98° 45' E), only six 7. napu were rescued compared with 172 71. kanchil. This area is the transition zone from wetter evergreen forest to drier deciduous types, and it might be that 7° napu is not well adapted to the drier forest types towards the northern limit ofits range. There are unconfirmed reports of the species on Java, where it may have been confused with one of the two color morphs of 7. javanicus. As explained in the Taxonomy section, the subspecific status of the populations of several islands remains unclear.
Single-cell RNA sequencing of CNS-infiltrating HSC-derived phagocytes of Ms4a3Ai14, BM chimeric mice (CD45.2 Csf2rb-/-: CD45.1 Csf2rb+/+ and CD45.2 Ifngr1-/-: CD45.1 Ifngr1+/+) using 10X Genomics platform. IFN-γ and GM-CSF control complementary differentiation programs in the monocyte to phagocyte transition during neuroinflammation.
<p><strong>Single-cell RNA sequencing of CNS-infiltrating HSC-derived phagocytes of <em>Ms4a3</em><sup>Ai14</sup> at onset and peak EAE, BM chimeric mice (CD45.2 <em>Csf2rb</em><sup>-/-</sup>: CD45.1 <em>Csf2rb</em><sup>+/+</sup> and CD45.2 <em>Ifngr1<sup>-/-</sup></em>: CD45.1 <em>Ifngr1<sup>+/+</sup></em>) using 10X Genomics platform.</strong></p> <p>The sorted cells were loaded into 10x Genomics Chromium in parallel. Libraries were prepared as per the manufacturer's protocol (Chromium Next GEM Single Cell 3ʹ Reagent Kits v3.1 protocol) and sequenced on an Illumina NovaSeq sequencer according to 10X Genomics recommendations (paired-end reads, R1=28, i7=8, R2=91) to a depth of around 50,000 reads per cell.</p> <p>Initial processing was done using Cell Ranger (v3.1.0) mkfastq and count (reads were aligned to GENCODE reference build GRCm38.p6 Release M23 with added tdTomato sequence for the dataset from <em>Ms4a3</em><sup>Ai14</sup> mouse and collapse UMIs). Starting from the filtered gene-cell count matrix produced by CellRranger's in-built cell calling algorithms, we proceeded with Seurat v4 workflow.</p>
Single-cell RNA sequencing of Lymph node-infiltrating HSC-derived phagocytes of Ms4a3Ai14 using 10X Genomics platform. IFN-γ and GM-CSF control complementary differentiation programs in the monocyte to phagocyte transition during neuroinflammation.
<p><strong>Single-cell RNA sequencing of Lymph node-infiltrating HSC-derived phagocytes of <em>Ms4a3</em><sup>Ai14</sup> at onset and peak EAE using 10X Genomics platform.</strong></p> <p>The sorted cells were loaded into 10x Genomics Chromium in parallel. Libraries were prepared as per the manufacturer's protocol (Chromium Next GEM Single Cell 3ʹ Reagent Kits v3.1 protocol) and sequenced on an Illumina NovaSeq sequencer according to 10X Genomics recommendations (paired-end reads, R1=28, i7=8, R2=91) to a depth of around 50,000 reads per cell.</p> <p>Initial processing was done using Cell Ranger (v3.1.0) mkfastq and count (reads were aligned to GENCODE reference build GRCm38.p6 Release M23 with added tdTomato sequence for the dataset from <em>Ms4a3</em><sup>Ai14</sup> mouse and collapse UMIs). Starting from the filtered gene-cell count matrix produced by CellRranger's in-built cell calling algorithms, we proceeded with Seurat v4 workflow.</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.