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Dataset results
41 results for “Calorimeter”
CLIC Calorimeter 3D images: Electron showers at Random Angle
<p>Energy deposits from single-particle showers in the ECAL+HCAL calorimeters of the CLIC detector</p> <p>Simulation performed with GEANT4 (https://geant4.web.cern.ch) and DD4HEP software (https://dd4hep.web.cern.ch/dd4hep/)</p> <p>Electrons entering the detector at variable energy and direction</p> <p>See https://arxiv.org/abs/1912.06794 for details</p>
CLIC Calorimeter 3D images: Neutral Pion showers at Random Angle
<p>Energy deposits from single-particle showers in the ECAL+HCAL calorimeters of the CLIC detector</p> <p>Simulation performed with GEANT4 (https://geant4.web.cern.ch) and DD4HEP software (https://dd4hep.web.cern.ch/dd4hep/)</p> <p>Neutral Pions entering the detector at variable energy and direction</p> <p>See https://arxiv.org/abs/1912.06794 for details</p>
Electromagnetic Calorimeter Shower Images
<p>Each HDF5 file has the following structure:</p> <p>energy Dataset {100000, 1}<br> layer_0 Dataset {100000, 3, 96}<br> layer_1 Dataset {100000, 12, 12}<br> layer_2 Dataset {100000, 12, 6}<br> overflow Dataset {100000, 3}</p> <p>In practice, each file is a collection of 100,000 calorimeter showers corresponding to the particle specified in the file name (eplus = positrons, gamma = photons, piplus = charged pions).</p> <p>The calorimeter we built is segmented longitudinally into three layer with different depths and granularities. In units of mm, the three layers have the following (eta, phi, z) dimensions:<br> Layer 0: (5, 160, 90) | Layer 1: (40, 40, 347) | Layer 2: (80, 40, 43)</p> <p>In the HDF5 files, the `energy` entry specifies the true energy of the incoming particle in units of GeV. `layer_0`, `layer_1`, and `layer_2` represents the energy deposited in each layer of the calorimeter in an image data format. Given the segmentation of each calorimeter layer, these images have dimensions 3x96 (in layer 0), 12x12 (in layer 1), and 12x6 (in layer 3). The `overflow` contains the amount of energy that was deposited outside of the calorimeter section we are considering.</p>
Calorimeter Dataset for NTK Predictions
Open the record for dataset details and reuse information.
The Optimal use of Segmentation for Sampling Calorimeters
<p><br> Data Features:</p> <ol> <li>Calo setting: ECAL in front of hcal</li> <li>Energy: Uniform in log10 space between 1 - 140 GeV</li> <li>Polar angle: 10 - 30 deg</li> <li>Azimuthal angle: 0 - 360 deg</li> <li>Single Particle: Positive pion</li> <li>Zip files: DiscreteData1, DiscreteData2 so on consists of discrete data used for inference</li> </ol>
CMS High Granularity Calorimeter Trigger Cell Simulated Dataset (Part 2)
<p>See <a href="https://doi.org/10.5281/zenodo.8338607">https://doi.org/10.5281/zenodo.8338607</a> for a full description of this dataset.</p>
Resting Energy Expenditure Using a Handheld Calorimeter
ClinicalTrials.gov study NCT01776944. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Energy Expenditure From ECAL Indirect Calorimeter in a Multicomponent Weight Management Service
ClinicalTrials.gov study NCT03638895. IPD Sharing: NO. Countries: 1. Publications: 7.
Electromagnetic Calorimeter Shower Images with Variable Incidence Angle and Position
<p>Each file is a collection of 500,000 (or 400,000 in the case of positrons) calorimeter showers corresponding to the particle specified in the file name (eplus = positrons, gamma = photons, piplus = charged pions). </p> <p>The calorimeter we built is segmented longitudinally into three layer with different depths and granularities. In units of mm, the three layers have the following (eta, phi, z) dimensions:<br> Layer 0: (5, 160, 90) | Layer 1: (40, 40, 347) | Layer 2: (80, 40, 43)</p> <p>In the HDF5 files, the `energy` entry specifies the true energy of the incoming particle in units of GeV. `layer_0`, `layer_1`, and `layer_2` represents the energy deposited in each layer of the calorimeter in an image data format. Given the segmentation of each calorimeter layer, these images have dimensions 3x96 (in layer 0), 12x12 (in layer 1), and 12x6 (in layer 3). The `overflow` contains the amount of energy that was deposited outside of the calorimeter section we are considering. The fields `x0`, `y0`, `z0`, `t0`, `px`, `py`, `pz` provide position and kinematic information of incident particles upon impact. </p>
Characterization of the radiation hardness of PbWO4 crystals for the POKER calorimeter
<p>For the construction of the POKER calorimeter, some PbWO4 crystals were purchased by Crytur. All the crystals were characterized in terms of radiation hardness at the Strahlenzentrum facility at Gießen (Germany). The test evaluates the damage induced by the crystals' exposure to an intense gamma source (constituted by an array of 60Co sources). Longitudinal optical transmittance was measured before and after the exposure, to quantify the damage. </p> <p>This dataset contains the data of the radiation hardness measurements performed on two sets of PbWO4 crystals: one including 20x20x220 mm^3 crystals and the other one including 20x20x200 cm^3 crystals. The files are in csv format and divided by data taking days (the legend can be found in the file Cristalli.csv). Each csv file shows two columns for each crystals: one with the wavelength and one with the correspondent Transmittance. Each crystal was measured at least twice (before and after the exposure), and the measurements are labeled with the crystal code and the label "before" or "after". Some measurements were repeated (and then the measure is labeled with a corresponding number) to evaluate the systematics. </p> <p>From this dataset it is possible to calculate a parameter, dk, which quantifies the radiation damage. It is defined as d = L^-1 * ln(Tbef/Taf), where L is the crystals length, Tbef is the transmittance before the exposure and Taf is the transmittance after the exposure).</p> <p>To calculate the parameter, some fits were performed in a small wavelength range (415-425 nm), since the wavelength of our interest is 420 nm. </p> <p>This is done trough the attached code, called "<a href="/api/files/7f4453e2-ce5c-45f0-a23c-c4181cca4eb9/dk_analysis.py?versionId=f125fc58-74b5-4fe4-871c-1f2c2bc2e05d">dk_analysis.py</a>", which is a python-based macro. </p>
The Influence of Glucose Flux on Fat Synthesis in a Whole Body Calorimeter
ClinicalTrials.gov study NCT02631083. IPD Sharing: NO. Countries: 0. Publications: 1.
Datasets: The probe-format graphite calorimeter, Aerrow, for absolute dosimetry in ultrahigh pulse dose rate electron beams
<p>Open access datasets for:</p> <p>The probe-format graphite calorimeter, Aerrow, for absolute dosimetry in ultrahigh pulse dose rate electron beams</p> <p>doi: 10.1002/mp.15899</p>
Comparison of Point Cloud and Image-based Models for Calorimeter Fast Simulation
<p>A highly granular calorimeter, similar to CALICE is simulated in Geant4. The calorimeters showers are represented as either images or point clouds. Two state-of-the-art score based diffusion models, on image based and the other point cloud based, are trained on the same set of calorimeter simulations and directly compared to each other.<br> <br> These files include the original Geant4 simulation, an intermediate form of the data required for training, and the samples generated by the image and point cloud models.</p>
Validation of Hand Held Indirect Calorimeter in Overweight and Obese Patients
ClinicalTrials.gov study NCT00670969. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Energy Cost for Holding a MedGem® Indirect Calorimeter
ClinicalTrials.gov study NCT03035903. IPD Sharing: NO. Countries: 1. Publications: 0.
Indirect Calorimeter Based Study in Patients With Liver Cirrhosis
ClinicalTrials.gov study NCT03871894. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Validation of the Quark RMR Calorimeter (Cosmed) Versus Deltatrac II (GE Health Care Clinical Systems)
ClinicalTrials.gov study NCT00848471. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Validation of a Portable Indirect Calorimeter
ClinicalTrials.gov study NCT04469452. IPD Sharing: NO. Countries: 1. Publications: 0.
Energy Expenditure and Substrate Oxidation in a Whole Room Calorimeter
ClinicalTrials.gov study NCT04061369. IPD Sharing: NO. Countries: 1. Publications: 0.
Energy Metabolism and Cost of Physical Activities Using Whole Body Calorimeter
ClinicalTrials.gov study NCT02594618. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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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
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