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42 results for “gauge data”
Data generated from calculations in "Gauge Field Dynamics in a Multilayer Kitaev Spin Liquid"
<p>The Kitaev honeycomb model hosts a quantum spin liquid in its ground state, where the excitations are gapless Majorana fermions and static <span><span><span><span><span><span><span>Z</span></span></span><span>2</span></span></span></span></span> gauge fluxes called visons. We consider Kitaev models stacked on top of each other, weakly coupled by Heisenberg interaction linear in <span><span><span><span><span>J</span><span>⊥</span></span></span></span></span>. This inter-layer coupling breaks the integrability of the model and makes the gauge fields dynamic. While single visons stay static in this model, an inter-layer pair of visons can hop with a hopping amplitude linear in <span><span><span><span><span>J</span><span><span><span>⊥</span></span></span></span></span></span></span>, but remains confined to a single plane. An intra-layer vison-pair, in contrast, is constrained to move along the stacking direction only. Depending on the anisotropy of the Kitaev couplings <span><span><span><span><span>K</span><span>x</span></span><span>,</span><span><span>K</span><span>y</span></span><span>,</span><span><span>K</span><span>z</span></span></span></span></span>, the intra-layer vison pairs show completely different dynamical behaviours. While coherent intra-layer tunnelling is possible for sufficiently strong anisotropies, only incoherent processes are possible in the isotropic case. When a magnetic field opens a gap for Majorana fermions, one can identify two types of intra-layer vison pairs, one bosonic and one fermionic. Only the bosonic pair obtains a hopping rate linear in <span><span><span><span><span>J</span><span>⊥</span></span></span></span></span>. We argue that our results can be used to identify leading instabilities of the Kitaev phase induced by the inter-layer coupling.</p>
Scattering of dark pions in Sp(4) gauge theory - Data release
<p>This release contains all data and metadata used to prepare the publication <a href="https://arxiv.org/abs/2405.06506"><em>Scattering of dark pions in Sp(4) gauge theory [2405.06506]</em></a><br>Further details are given in the file README.md.</p> <p>YD and FZ have been supported the Austrian Science Fund research teams grant STRONG-DM (FG1). FZ has been supported by the STFC Grant No. ST/X000648/1. The computations have been performed on the Vienna Scientific Cluster (VSC4).</p>
Gauge data used in 'An improved near-real-time precipitation retrieval for Brazil' by Pfreundschuh et al.
<p>The rain gauge measurements were compiled by the National Institute of Meteorology of Brazil 40 and consist of hourly gauge measurements covering the time range May 2000 until May 2020. They are used as reference data 'An improved near-real-time precipitation retrieval for Brazil' by Pfreundschuh et al. and published here in order to ensure reproducibility.</p>
Supplementary data to: Soil Moisture to Runoff (SM2R) A data-driven model for runoff estimation across poorly gauged Asian water towers based on soil moisture dynamics
<p>This data archive includes simulated monthly runoff anomaly using the Soil Moisture to Runoff model during 1981‒2020 over the representative drainage basin in each water tower. Please see Readme for more data information. For calculation details please see the publication.</p>
Symplectic lattice gauge theories on Grid: approaching the conformal window---data release
<p>This is the data release relative to the paper "Symplectic lattice gauge theories on Grid: approaching the conformal window" (arXiv:2306.11649).</p> <p>It contains pre-analysed data that can be plotted, and raw data that can be analysed and plotted through the analysis code in doi:10.5281/zenodo.8136514.</p>
Former precipitation data of totalizer gauges in Wägital catchment, 1927-1952
<p>During the years 1927-1952, a very dense station network of 30 totalizer gauges<br> was maintained in the Wägital catchment. This dataset consists of precipitation<br> readings of the hydrological year taken from unpublished reports of<br> AG Kraftwerk Wägital ("Betriebsdaten" reports).<br> </p> <p>After the year 1952, collection of these data were stopped with the exception of<br> the 5 totalizers Seeende/Hundsloch [3336/T4], Blattli/Oberhof [3338/T3],<br> Rohr [3339/T6], Unter Alten [3352/T24] and Rötstock [3382/T34]. These totalizers<br> are still in service, see dataset <a href="https://doi.org/10.5281/zenodo.1409535">https://doi.org/10.5281/zenodo.1409535</a>.</p> <p>Data are tested for correct acquisition, but are taken literally from the<br> reports without further data processing.</p> <p>Metadata are taken from external sources, see file metadata.txt for details.<br> </p> <p>For details on the Wägital station network see <a href="https://www.meteodat.ch/tots_waegital.html">https://www.meteodat.ch/tots_waegital.html</a>.</p>
Data from: Gauging scale effects and biogeographical signals in similarity distance decay analyses: an Early Jurassic ammonite case study
In biogeography, the similarity distance decay (SDD) relationship refers to the decrease in compositional similarity between communities with geographical distance. Although representing one of the most widely used relationships in biogeography, a review of the literature reveals that: (1) SDD is influenced by both spatial extent and sample size; (2) the potential effect of the phylogenetic level has yet to be tested; (3) the effect of a marked biogeographical structuring upon SDD patterns is largely unknown; and (4) the SDD relationship is usually explored with modern, mainly terrestrial organisms, whereas fossil taxa are seldom used in that perspective. Using this relationship, we explore the long-distance dispersal of the Early Jurassic (early Pliensbachian, c. 190.8 Ma to 187.6 Ma) ammonites of the western Tethys and adjacent areas, in a context of marked provincialism. We show that the long-distance dispersal of these ammonites is not related to shell size and shape, but rather to the environmental characteristics of the province to which they belong. This suggests that their long-distance dispersal may have been essentially driven by passive planktonic drift during early juvenile, post-hatching stages. Furthermore, it seems that the SDD relationship is not always an appropriate method to characterize the existence of a biogeographical structuring. We conducted SDD analyses at various spatial, sampling and phylogenetic scales in order to evaluate their sensitivity to scale effects. This multi-scale approach indicates that the sampling scale may influence SDD rates in an unpredictable way and that the phylogenetic level has a major impact on SDD patterns.
Gauge data repository for "Comprehensive evaluation and comparison of ten precipitation products in terms of accuracy and stability over a typical mountain basin, Southwest China"
<h4>1. Title: </h4> <p>Gauge data repository for "Comprehensive evaluation and comparison of ten precipitation products in terms of accuracy and stability over a typical mountain basin, Southwest China".</p> <h4>2. Corresponding author: </h4> <p>Xingbi Lei (leixingbi@st.gxu.edu.cn, leixingbi@foxmail.com).</p> <h4>3. Institution: </h4> <p>Key Laboratory of Disaster Prevention and Structural Safety of the Ministry of Education, Nanning 530000, China;</p> <p>College of Architecture and Civil Engineering, Guangxi University, Nanning 530000, China; </p> <p>Guangxi Provincial Engineering Research Center of Water Security and Intelligent Control for Karst Region, Guangxi University, Nanning 530000, China; </p> <p>Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Guangxi University, Nanning 530000, China; </p> <p>State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 200029, China; </p> <p>Guangxi Water & Power Design Institute Co., Ltd., Nanning 530023, China. </p> <h4>4. Description:</h4> <p>This repository contains gauge data for the research article "Comprehensive evaluation and comparison of ten precipitation products in terms of accuracy and stability over a typical mountain basin, Southwest China", which is currently under review for the journal "Atmospheric Research".</p> <p>The gauge data used in this study is the daily measurements (2003/01/01-2018/12/31) of 12 stations in the Chengbi River Basin (Southwest China). The data source was the Chengbi River Reservoir Bureau. The data has been quality controlled by the Bureau in accordance with "MWR, PRC,2015. Specification for precipitation observations: SL 21-2015". Please see the journal article for more detailed information.</p> <h4>5. Citation:</h4> <p>When using this dataset, please cite "Mo, C. et al., 2024. Comprehensive evaluation and comparison of ten precipitation products in terms of accuracy and stability over a typical mountain basin, Southwest China. Atmospheric Research, 297: 107116.10.1016/j.atmosres.2023.107116". </p> <p> </p>
Meson spectroscopy from spectral densities in lattice gauge theories---data release
<p>This is the data release relative to the paper "Meson spectroscopy from spectral densities in lattice gauge theories" (arXiv:2405.01388). It contains the data that can be analysed through the analysis code in doi:10.5281/zenodo.11048300.</p>
Data from: Gauging scale effects and biogeographical signals in similarity distance decay analyses: an Early Jurassic ammonite case study
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Singlets in gauge theories with fundamental matter - data release
<p>This release contains all data and metadata used to prepare the publication <a href="https://doi.org/10.48550/arXiv.2304.07191">Singlets in gauge theories with fundamental matter</a>.</p><p>Further details are given in the file README.md.</p>
Data and results for gauging stations from Waterschap Rijn en IJssel
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Data from: Gauging the purported costs of public data archiving for long-term population studies
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BOREAS 1995 HYD-09 Belfort Rain Gauge Data
This data set contains the measurements from the Belfort rain gauges at the BOREAS NSA andSSA. These measurements were submitted in 15-minute and 1-hour intervals. Only the 15-minute interval data set was loaded into the data base tables. Data were collected from the Belfort gauges from mid-April until mid-October in 1994, 1995, and 1996.
BOREAS Follow-On HMet-01 Merged SSM/I and Rain Gauge Precipitation Data
A gridded data set has been assembled over the BOREAS hydro-meteorological study region that combines a precipitation data set based on a rain gauge network with precipitation estimates based on SSM/I satellite images. The result is an hourly precipitation data set covering 122 consecutive days beginning on June 1, 1996.
BOREAS 1996 HYD-09 Belfort Rain Gauge Data
This data set contains the measurements from the Belfort rain gauges at the BOREAS NSA andSSA. These measurements were submitted in 15-minute and 1-hour intervals. Only the 15-minute interval data set was loaded into the data base tables. Data were collected from the Belfort gauges from mid-April until mid-October in 1994, 1995, and 1996.
BOREAS 1994 HYD-09 Belfort Rain Gauge Data
This data set contains the measurements from the Belfort rain gauges at the BOREAS NSA andSSA. These measurements were submitted in 15-minute and 1-hour intervals. Only the 15-minute interval data set was loaded into the data base tables. Data were collected from the Belfort gauges from mid-April until mid-October in 1994, 1995, and 1996.
SMEX03 Rain Gauge Data: Georgia, Version 1
Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited.This data set contains five-minute precipitation data collected throughout 2003 at various rain gauge sites in the Little River (LR) micronet located in Georgia, USA.
harshasbhat/tsunami: Tidal Gauge Data
<p>Tidal Gauge Data</p>
Rain Gauge Rainfall Collection Data obtained at 620 Sao Bento Street, Guarulhos, Sao Paulo, Brazil, Zip Code 07070-000, from Aug. 24, 2015 to Nov, 24, 2015
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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.