• 7. Clean energy close

A dataset listing the 6860 species recorded in GBIF matching the query: { "and" : [ "GadmGid is USA", "TaxonKey is Aves" ] } The dataset's 6860 records were derived from 258 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0342438-210914110416597/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.

CERN-LHC. Results of a search for new phenomena in events with an energetic photon and large missing transverse momentum with the ATLAS experiment at the LHC are reported. Data were collected in proton--proton collisions at a center-of-mass energy of 8 TeV and correspond to an integrated luminosity of 20.3 fb$^{-1}$. The observed data are well described by the expected Standard Model backgrounds. The expected (observed) upper limit on the fiducial cross section for the production of such events is 6.1 (5.3) fb at 95% confidence level. Exclusion limits are presented on models of new phenomena with large extra spatial dimensions, supersymmetric quarks, and direct pair production of dark-matter candidates. Distribution of ETmiss in the data and for the expected background in the two-electron control region. The total background expectation is normalized to the observed number of events in this control region. Overflows are included in the final bin.

A dataset containing 8707001 species occurrences available in GBIF matching the query: { "and" : [ "Country is Brazil", "TaxonKey is Animalia" ] } The dataset includes 8707001 records from 2454 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044680-200613084148143/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.

The dataset contains: Validation_TH.xlsx, Validation_EL.xlsx: The results of the validation procedure where experimentally obtained measurements are compared to simulation estimates. Sensitivity_CHTC.xlsx: Sensitivity analysis of overall heat transfer coefficient from the converter housing to the exterior. Case Study.xlsx: The results of the case study, i.e. loss distribution among the components.

The Water Cooled Ceramic Breeder (WCCB) blanket is one of the blanket candidates for Chinese Fusion Engineering Test Reactor (CFETR). To investigate the electromagnetic (EM) force (magnetization force and Lorentz force) on the WCCB blanket, EM analyses were carried out using ANSYS Multiphysics code. At fifirst, fifinite element (FE) static magnetic analysis under normal operation condition was accomplished, adopting the magnetic scalar potential (MSP) method. The magnetization force can be obtained as a result. Then transient magnetic analysis under plasma disruption event was performed using the magnetic vector potential (MVP) method. The eddy current on blankets was subsequently analyzed. Finally, the Lorentz force applied on blankets can be calculated with cross-product of the eddy current fifield from transient magnetic analysis and the magnetic fifield from the static magnetic analysis. The EM forces will be used as mechanical loads for the future structural analysis of blanket under integrated load.

Experiments were designed to reproduce the loosening phenomenon observed in aeronautics, automotive or civil engineering structures where parts are assembled together by means of bolted joints. The bolts can indeed be subject to self-loosening under vibrations. Therefore, it is of paramount importance to develop sensing strategies and algorithms for early loosening estimation. The test rig was specifically designed to make the vibration tests as repeatable as possible.<br> <br> The dataset ORION-AE is made of a set of time-series measurements obtained by untightening a bolt with seven different levels. The data have been sampled at 5 MHz on four different sensors, including three permanently attached acoustic emission sensors in contact with the structure, and one laser (contactless) measurement apparatus. This dataset can thus be used for performance benchmarking of supervised, semi-supervised or unsupervised learning algorithms, including deep and transfer learning for time-series data, with possibly seven classes. This dataset may also be useful to challenge denoising methods or wave-picking algorithms, for which the vibrometer measurements can be used for validation.<br> <br> ORION is a jointed structure made of two plates manufactured in a 2024 aluminium alloy, linked together by three bolts. The contact between the plates is done through machined overlays. The contact patches has an area of 12x12 mm^2 and is 1 mm thick. The structure was submitted to a 100 Hz harmonic excitation force during about 10 seconds. The load was applied using a Tyra electromagnetic shaker, which can deliver a 200 N force. The force was measured using a PCB piezoelectric load cell and the vibration level was determined next to the end of the specimen using a Polytec laser vibrometer. <br> <br> The ORION-AE dataset is composed of five directories collected in five campaigns denoted as B, C, D, E and F in the sequel. Seven tightening levels were applied on the upper bolt. The tightening was first set to 60 cNm with a torque screwdriver. After a 10 seconds vibration test, the shaker was stopped and this vibration test was repeated after a torque modification at 50 cNm. Then torque modifications at 40, 30, 20, 10 and 5 cNm were applied. Note that, for campaign C, the level 40 cNm is missing. <br> <br> During each cycle of the vibration test for a given tightening level, different AE sources can generate signals and those sources may be activated or not, depending on the tribological conditions within the contact between the beams which are not controlled. The tightening levels can be used to represent a reference against which clustering or classification results can be compared with. In that case, the main assumption is that the torque remained close to the level which was set at the beginning of every period of 10 s. This assumption can not be checked in the current configuration of the tests.<br> <br> For each campaign, four sensors were used: a laser vibrometer and three different AE sensors (micro-200-HF, micro-80 and the F50A from Euro-Physical Acoustics) with various frequency bands were attached onto the lower plate (5 cm above the end of the plate). All data were sampled at 5 MHz using a Picoscope 4824 and a preamplifier (from Euro-Physical Acoustics) set to 60 dB. The velocimeter is used for different purposes, in particular to control the amplitude of the displacement of the top of the upper beam so that it remains constant whatever the tightening level. <br> <br> The sensors are expected to detect the stick-slip transitions or shocks in the interface that are known to generate small AE events during vibrations. The acoustic waves generated by these events are highly dependent on bolt tightening. These sources of AE signals have to be detected and identified from the data stream which constitute the challenge. <br> <br> <b> Details of the folders and files</b> <br> <br> There is 1 folder per campaign, each composed of 7 subfolders corresponding to 7 tightening levels: 5 cNm, 10 cNm, 20 cNm, 30 cNm, 40 cNm, 50 cNm, 60 cNm. So, 7 levels are available per campaign, except for campaign C for which 40 cNm is missing. <br> <br> There is about 10 seconds of continuous recording of data per level (the exact value can be found according to the number of files in each subfolder). The sampling frequency was set to 5 MHZ on all channels of a picoscope 4824 and a preamplifer of 60 dB (model 2/4/6 preamplifier made by Europhysical acoustics). The characteristics of both the picoscope and preamplifier are provided in the enclosed documentation. <br> <br> Each subfolder is made of .mat files. There is about 1 file per second (depending on the buffering, it can vary a little). The files in a subfolder are named according to the timestamps (time of recording). Each file is composed of vectors of data named: <li>A = micro80 sensor.</li> <li>B = F50A sensor.</li> <li>C = micro200HF sensor.</li> <li>D = velocimeter.</li> <br> Note that the measurements are stored in <b>mV</b>.<br> <br> Sample Matlab codes are provided to read the files provided.<br> <br> The characteristics of the sensors are provided in the enclosed documentation. <br>

CERN-LHC. Measurements of event shapes and azimuthal correlations are presented for events where a Z boson is produced in association with jets in proton-proton collisions. The data collected with the CMS detector at the CERN LHC at sqrt(s) = 7 TeV correspond to an integrated luminosity of 5.0 inverse femtobarns. The analysis provides a test of predictions from perturbative QCD for a process that represents a substantial background to many physics channels. Results are presented as a function of jet multiplicity, for inclusive Z boson production and for Z bosons with transverse momenta greater than 150 GeV, and compared to predictions from Monte Carlo event generators that include leading-order multiparton matrix-element (with up to four hard partons in the final state) and next-to-leading-order simulations of Z + 1-jet events. The experimental results are corrected for detector effects, and can be compared directly with other QCD models For $Z/\gamma^{*}$ plus jets events we select: - two same flavour opposite sign leptons with $p_{T} > 20$ GeV and $|\eta| < 2.4$ and $71 < M_{\ell\ell} < 111 $ GeV - leptons are "dressed" with all photons in a cone of radius $\Delta R = 0.1$ - at least one jet, jet selection $p_{T} > 30$ GeV and $|\eta| < 2.4$, we remove jets within a radius of $\Delta R < 0.4$ with respect to the axes of each lepton - for the ratio plots a cut on Z rapidity |y|<1.4 is also applied The event shape variable is defined as $\tau_{\perp}\equiv 1-\max_{\vec{n}_{T}}\frac{\sum_{i}\left|\vec{p}_{\perp,i}\cdot \vec{n}_{T} \right|}{\sum_{i}p_{\perp,i}}$. Normalized DPhi(j1, j3) distributions for Njets >= 3.

ABO3 perovskites are oxide materials that are used for a variety of applications such as solid oxide fuel cells, piezo-, ferro-electricity and water splitting. Due to their remarkable stability with respect to cation substitution, new compounds for such applications potentially await discovery. In this work, we present an exhaustive dataset of formation energies of 5,329 cubic and distorted perovskites that were calculated using first-principles density functional theory. In addition to formation energies, several additional properties such as oxidation states, band gap, oxygen vacancy formation energy, and thermodynamic stability with respect to all phases in the Open Quantum Materials Database are also made publicly available. This large dataset for this ubiquitous crystal structure type contains 395 perovskites that are predicted to be thermodynamically stable, of which many have not yet been experimentally reported, and therefore represent theoretical predictions. The dataset thus opens avenues for future use, including materials discovery in many research-active areas.

CERN-LHC, ATLAS. Measurements of the of four-top-quark production cross section using events with single lepton (electron or muon) or an opposite-sign lepton pair, in association with multiple jets in proton-proton collisions at a centre-of-mass energy of 13 TeV with 139 fb^-1 of data. The result is combined with the previous measurement performed by the ATLAS Collaboration in the multilepton final state. Comparison between data and prediction for the distribution of the BDT score in the 1L,$\geq$10j,4b signal region before the fit.

CERN-LHC. The transverse structure of jets was studied via jet fragmentation transverse momentum ($j_{\rm T}$) distributions, obtained using two-particle correlations in proton-proton and proton-lead collisions, measured with the ALICE experiment at the LHC. The highest transverse momentum particle in each event is used as the trigger particle and the region $3 < p_{\rm T} < 15$ ~GeV/$c$ is explored in this study. trigger particle momentum dependence of observables RMS for wide component in p-p collisions at 7 TeV with 0.6