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1,891 results for “Field data”
FIGURE 46 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 46. Lycodon dumerilii (Eastern Samar Prov., Samar Id.) (KU 344364). Photo © JBF/RMB.
FIGURE 33 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 33. Boiga dendrophila levitoni (Iloilo Prov., Gigante Norte Id.) (KU 302959). Photo © CDS.
Experimental-data-driven deep learning strategy for Structural Health Monitoring of a plate in acoustic fields
Open the record for dataset details and reuse information.
Deep CFHT Y-band Imaging of VVDS-F22 Field. I. Data Products and Photometric Redshifts
<p>We present our deep Y-band imaging data of a 2 square degree field within the F22 region of the VIMOS VLT Deep Survey. The observations were conducted using the WIRCam instrument mounted at the Canada-France-Hawaii Telescope (CFHT). The total on-sky time was 9 hr, distributed uniformly over 18 tiles. The scientific goals of the project are to select faint quasar candidates at redshift z>2.2 and constrain the photometric redshifts for quasars and galaxies. In this paper, we present the observation and the image reduction, as well as the photometric redshifts that we derived by combining our Y-band data with the CFHTLenS u*<sup> </sup>g' r' i' z' optical data and UKIDSS DXS JHK near-infrared data. With the J-band image as a reference, a total of ~80,000 galaxies are detected in the final mosaic down to a Y-band 5σ point-source limiting depth of 22.86 mag. Compared with the ~3500 spectroscopic redshifts, our photometric redshifts for galaxies with z<1.5 and i' <= 24.0 mag have a small systematic offset of |\delta{z}|<=0.2, 1σ scatter 0.03<σ<sub>Δz </sub><0.06, and less than 4.0% of catastrophic failures. We also compare with the CFHTLenS photometric redshifts and find that ours are more reliable at z>=0.6 because of the inclusion of the near-infrared bands. In particular, including the Y-band data can improve the accuracy at z~1.0--2.0 because the location of the 4000 Å break is better constrained.</p>
SCB model data for article 'The effects of localized thermal pressure on equilibrium magnetic fields and particle drifts in the inner magnetosphere'
<p>The SCB model simulation data for the article 'The effects of localized thermal pressure on equilibrium magnetic fields and particle drifts in the inner magnetosphere'.</p> <p>The 'Rxx_A xx_Sxx_Lxxparameters' files are the data files, where Rxx is the beta_0 value, Axx is the A_e value, Sxx is the sigma_0 value and Lxx is the L_0 value (see the article for the definition of the values)</p> <p>The 'SCB_variables.xlsx' is a table to describe the variables in the data file.</p> <p>The 'read_scb.pro' is an IDL program to read the data files.</p>
m-sized Training and Evaluation Data for Publication "Using Supervised Learning to Classify Metadata of Research Data by Field of Study"
<p>Automated classification of metadata of research data by their discipline(s) of research can be used<br> in scientometric research, by repository service providers, and in the context of research data aggregation<br> services. Openly available metadata of the DataCite index for research data were used to compile a large<br> training and evaluation set comprised of 609,524 records. This is the cleaned and vectorized version with a feature selection of medium size</p>
Data and code for "High-field superconductivity from atomic-scale confinement and spin-orbit coupling at (111)LaAlO3/KTaO3 interfaces"
<p>This folder contains the raw data and scripts used to prepare the figures of the main text and supplemetary. </p>
Data from: Photovoltage field-effect transistors
It is of intense interest to extend the excellent performance of silicon photodetectors into the infrared spectrum beyond silicon's bandgap. Detection of infrared radiation is at the base of applications such as night vision, health monitoring, and optical commuincations. Silicon is the workhorse of modern electronics, but its electronic bandgap prevents detection of light at wavlengths longer than ~ 1100 nm. Here we present the photovoltage field effect transitor (PVFET) that uses silicon for charge transport, but adds infrared sensitization via a quantum dot light absorber. Using the photovoltage generated at the silicon:quantum dot heterointerface, combined with the high transconductance provided by the silicon device, we demonstrate high gain (>104 electrons/photon at 1500 nm), fast time response (< 10 s), and widely tunable spectral response. The PVFET shows a responsivity 5 orders of magnitude higher at 1500 nm wavelength than prior IR-sensitized silicon detectors. The sensitization is achieved using a room temperature solution process and does not rely on traditional high temperature epitaxial growth semiconductors, as per germanium and III-V compounds. Our results demonsrate, for the first time, colloidal quantum dots as an efficient platform for silicon based infrared detection, competitive with state-of-the-art epitaxial semiconductors.
Figure 20 from: Hawlitschek O, Brückmann B, Berger J, Green K, Glaw F (2011) Integrating field surveys and remote sensing data to study distribution, habitat use and conservation status of the herpetofauna of the Comoro Islands. ZooKeys 144: 21-79. https://doi.org/10.3897/zookeys.144.1648
Figure 20 - Proposed areas of conservational importance for the herpetofauna on the Comoro islands.
Figure 2 from: Hawlitschek O, Brückmann B, Berger J, Green K, Glaw F (2011) Integrating field surveys and remote sensing data to study distribution, habitat use and conservation status of the herpetofauna of the Comoro Islands. ZooKeys 144: 21-79. https://doi.org/10.3897/zookeys.144.1648
Figure 2 - Land cover, localities and number of recorded species
Figure 4 from: Hawlitschek O, Brückmann B, Berger J, Green K, Glaw F (2011) Integrating field surveys and remote sensing data to study distribution, habitat use and conservation status of the herpetofauna of the Comoro Islands. ZooKeys 144: 21-79. https://doi.org/10.3897/zookeys.144.1648
Figure 4 - Localities and number of species in relation to altitude.
MD Simulation data for a pure DOPC bilayer (1000 mM CaCl2) with AMOEBA force field + OpenMM
<p>MD simulation data for the DOPC bilayer + 1000 mM CaCl2 with the AMOEBA-based force field developed by Li (<a href="https://doi.org/10.1080/00268976.2018.1436201">https://doi.org/10.1080/00268976.2018.1436201</a>).</p> <p>The simulation contains 72 DOPC lipids, 36 CaCl2 ions, and 2880 water molecules. The trajectory is 218,41 ns long (21841 frames with 10 ps saving frequency).</p> <p><strong>It has been discovered that (https://github.com/NMRLipids/Databank/issues/2#issuecomment-1357871243) the previously uploaded trajectory did not have the correct timestamp: the timestep between two consecutive simulation frames was not correctly embedded into the trajectory information. Therefore, with the latest version we are uploading the "unwrapped_all_fixed_dt.xtc" which has the correct timestamp. The frame saving frequency in this trajectory is 10 ps. </strong></p> <p><strong>This new update should not invalidate any previous calculations that did not explicitly read the timestamp information from the trajectory.</strong></p> <p><strong>This simulation consists of 12 sub-trajectories, each of which starts from the last frame of the previous one. These trajectories (originally in dcd format) were concatenated and saved in xtc format with MDAnalysis.</strong></p> <p> </p>
MD Simulation data for a pure DOPC bilayer (450 mM NaCl) with AMOEBA force field + OpenMM
<p>MD simulation data for the DOPC bilayer + 450 mM NaCl with the AMOEBA-based force field developed by Li (<a href="https://doi.org/10.1080/00268976.2018.1436201">https://doi.org/10.1080/00268976.2018.1436201</a>).</p> <p>The simulation contains 72 DOPC lipids, 17 NaCl ions, and 2880 water molecules. The trajectory is 218,41 ns long (21841 frames with 10 ps saving frequency).</p> <p><strong>It has been discovered that (https://github.com/NMRLipids/Databank/issues/2#issuecomment-1357871243) the previously uploaded trajectory did not have the correct timestamp: the timestep between two consecutive simulation frames was not correctly embedded into the trajectory information. Therefore, with the latest version we are uploading the "unwrapped_all_fixed_dt.xtc" which has the correct timestamp. The frame saving frequency in this trajectory is 10 ps. </strong></p> <p><strong>This new update should not invalidate any previous calculations that did not explicitly read the timestamp information from the trajectory.</strong></p> <p><strong>This simulation consists of 12 sub-trajectories, each of which starts from the last frame of the previous one. These trajectories (originally in dcd format) were concatenated and saved in xtc format with MDAnalysis.</strong></p> <p> </p>
MD Simulation data for a pure DOPC bilayer (450 mM CaCl2) with AMOEBA force field + OpenMM
<p>MD simulation data for the DOPC bilayer + 450 mM CaCl2 with the AMOEBA-based force field developed by Li (<a href="https://doi.org/10.1080/00268976.2018.1436201">https://doi.org/10.1080/00268976.2018.1436201</a>).</p> <p>The simulation contains 72 DOPC lipids, 16 CaCl2 ions, and 2880 water molecules. The trajectory is 218,41 ns long (21841 frames with 10 ps saving frequency).</p> <p><strong>It has been discovered that (https://github.com/NMRLipids/Databank/issues/2#issuecomment-1357871243) the previously uploaded trajectory did not have the correct timestamp: the timestep between two consecutive simulation frames was not correctly embedded into the trajectory information. Therefore, with the latest version we are uploading the "unwrapped_all_fixed_dt.xtc" which has the correct timestamp. The frame saving frequency in this trajectory is 10 ps. </strong></p> <p><strong>This new update should not invalidate any previous calculations that did not explicitly read the timestamp information from the trajectory.</strong></p> <p><strong>This simulation consists of 12 sub-trajectories, each of which starts from the last frame of the previous one. These trajectories (originally in dcd format) were concatenated and saved in xtc format with MDAnalysis.</strong></p> <p> </p>
MD Simulation data for a pure DOPC bilayer (1000 mM NaCl) with AMOEBA force field + OpenMM
<p>MD simulation data for the DOPC bilayer + 1000 mM NaCl with the AMOEBA-based force field developed by Li (<a href="https://doi.org/10.1080/00268976.2018.1436201">https://doi.org/10.1080/00268976.2018.1436201</a>).</p> <p>The simulation contains 72 DOPC lipids, 35 NaCl ions, and 2880 water molecules. The trajectory is 201,61 ns long (20161 frames with 10 ps saving frequency).</p> <p><strong>It has been discovered that (https://github.com/NMRLipids/Databank/issues/2#issuecomment-1357871243) the previously uploaded trajectory did not have the correct timestamp: the timestep between two consecutive simulation frames was not correctly embedded into the trajectory information. Therefore, with the latest version we are uploading the "unwrapped_all_fixed_dt.xtc" which has the correct timestamp. The frame saving frequency in this trajectory is 10 ps. </strong></p> <p><strong>This new update should not invalidate any previous calculations that did not explicitly read the timestamp information from the trajectory.</strong></p> <p><strong>This simulation consists of 12 sub-trajectories, each of which starts from the last frame of the previous one. These trajectories (originally in dcd format) were concatenated and saved in xtc format with MDAnalysis.</strong></p>
Replication data: Political Activists as Free-Riders: Evidence from a Natural Field Experiment
<p>This repository contains the data required to replicate the results for the paper "Political Activists as Free-Riders: Evidence from a Natural Field Experiment".</p>
Data underlying "Electric field tunable superconductor-semiconductor coupling in Majorana nanowires"
<p>This repository contains an extended dataset of raw data underlying <a href="https://www.doi.org/10.1088/1367-2630/aae61d">M. W A de Moor <em>et al.</em>, Electric field tunable superconductor-semiconductor coupling in Majorana nanowires, New J. Phys. <strong>20</strong>, 103049 (2018)</a></p> <p>It also contains python notebooks for recreating the plots in the paper, developed in 2022/23.</p>
Data for paper 'Machine Learning Force Fields for Molecular Liquids: Ethylene Carbonate / Ethyl Methyl Carbonate Binary Solvent'
<p>This data is supplied in conjunction with the paper:</p> <p>Magdău, I. B., Arismendi-Arrieta, D. J., Smith, H. E., Grey, C. P., Hermansson, K., and Csányi, G. NPJ Computational Materials, accepted. (2023). "Machine Learning Force Field for Molecular Liquids: Ethylene Carbonate / Ethyl Methyl Carbonate Binary Solvent."</p> <p>The archive contains the final EC:EMC training data and test sets (Volume Scans, Intra/Inter splits), final GAP potential and the MD trajectories described in the paper.</p> <p>The data is accompanied by a Jupyter Notebook: HowTo.ipynb (also compiled as *.pdf and *.html) which explains in detail the structure of the data and how to interact with it. The Notebook also demonstrates how to create volume scans, intra/inter splits and analyze configurations and MD trajectories.</p>
Synthetic data for estimation of the ionospheric induction electric field
<p>Synthetic data, based on an MHD simulation (Gamera) analysed by [Shi et al. 2022] (https://doi.org/10.1029/2022GL100014), used to validate a new technique for estimating the ionospheric induction electric field based on measurements of ground magnetic perturbation.<br> <br> To understand the content look in the README.txt file.</p>
Raw data set for "Understanding and Control of Zener Pinning via Phase Field and Ensemble Learning"
<p>Phase field generated Raw data set for "Understanding and Control of Zener Pinning via Phase Field and Ensemble Learning"</p>
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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.