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1,956 results for “test data”
Childhood Cancer Data Initiative (CCDI): CCDI Pediatric In Vivo Testing Program - Leukemia
The goal of this study is to molecularly characterize a large panel of pediatric acute lymphoblastic leukemia (ALL) patient-derived xenografts (PDXs) previously established in immune-deficient mice. These PDXs are utilized as part of the NCI-funded Pediatric Preclinical In vivo Testing (PIVOT) program to identify novel agents and combinations. Biospecimen data include next-generation sequencing (RNAseq, whole exome sequencing, DNA copy number variation), whole-genome analysis of cytogenetic abnormalities, and DNA fingerprint for quality control.
IBSim Virtual Test Benchmark Data - Experiment Type: Thermal (LFA), SampleID: LFA_RNA_A01, Data: XCT
<p>Sample ID: LFA_RNA_A01</p> <p>X-ray tomography (CT) image data of a Ti6Al4V disc. The 3D image was generated with an X-ray tomography scan performed by Dr Llion Evans with Swansea University, Advanced Imaging of Materials (AIM) equipment.</p> <p>The dataset includes: raw radiographs; scan & reconstruction parameter settings file; reconstructed 3D volume. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). The volume image data (.raw file) is in binary format and has the following characteristics: 1920 x 1920 x 1536; 16-bit; little-endian byte order.</p> <p>This data is part of a 'virtual testing' benchmark study, where samples are tested physically in the lab and their microscale accurate digital equivalent are tested virtually through simulation. The technique of converting 3D volumetric images directly into finite element method (FEM) meshes is part of the Image-Based Simulation (IBSim) approach.</p> <p>This data is part of a batch of samples for thermal testing via laser flash analysis (LFA), following the standards ASTM E1461 / ASTM E2585. As part of the study, controlled defects were introduced into the samples. This was achieved by machining a disc shaped recess (of defined diameter and depth) into one disc which is bonded onto another disc, so that the defect is located internally within the final sample.</p> <p>The samples in the batch are named as follows.</p> <p>Sample ID Diameter Thickness Recess d Recess t<br> LFA_RNA_### 12.6 2.5 N/A N/A<br> LFA_Rd0t00_### 12.6 1.25 x 2 N/A N/A<br> LFA_Rd8t02_### 12.6 1.25 x 2 8.0 0.2<br> LFA_Rd8t08_### 12.6 1.25 x 2 8.0 0.8<br> LFA_Rd6t02_### 12.6 1.25 x 2 6.0 0.2<br> LFA_Rd6t08_### 12.6 1.25 x 2 6.0 0.8<br> LFA_Rd4t02_### 12.6 1.25 x 2 4.0 0.2<br> LFA_Rd4t08_### 12.6 1.25 x 2 4.0 0.8</p> <p>Where ### denotes the furnace bonding batch (A-C and N for no bonding cycle) and sample number (01-30). Values in mm.</p> <p> </p>
IBSim Virtual Test Benchmark Data - Experiment Type: Thermal (LFA), SampleID: LFA_Rd0t00_A20, Data: XCT
<p>Sample ID: LFA_Rd0t00_A20</p> <p>X-ray tomography (CT) image data of a Ti6Al4V disc. The 3D image was generated with an X-ray tomography scan performed by Dr Llion Evans with Swansea University, Advanced Imaging of Materials (AIM) equipment.</p> <p>The dataset includes: raw radiographs; scan & reconstruction parameter settings file; reconstructed 3D volume. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). The volume image data (.raw file) is in binary format and has the following characteristics: 1920 x 1920 x 1536; 16-bit; little-endian byte order.</p> <p>This data is part of a 'virtual testing' benchmark study, where samples are tested physically in the lab and their microscale accurate digital equivalent are tested virtually through simulation. The technique of converting 3D volumetric images directly into finite element method (FEM) meshes is part of the Image-Based Simulation (IBSim) approach.</p> <p>This data is part of a batch of samples for thermal testing via laser flash analysis (LFA), following the standards ASTM E1461 / ASTM E2585. As part of the study, controlled defects were introduced into the samples. This was achieved by machining a disc shaped recess (of defined diameter and depth) into one disc which is bonded onto another disc, so that the defect is located internally within the final sample.</p> <p>The samples in the batch are named as follows.</p> <p>Sample ID Diameter Thickness Recess d Recess t<br> LFA_RNA_### 12.6 2.5 N/A N/A<br> LFA_Rd0t00_### 12.6 1.25 x 2 N/A N/A<br> LFA_Rd8t02_### 12.6 1.25 x 2 8.0 0.2<br> LFA_Rd8t08_### 12.6 1.25 x 2 8.0 0.8<br> LFA_Rd6t02_### 12.6 1.25 x 2 6.0 0.2<br> LFA_Rd6t08_### 12.6 1.25 x 2 6.0 0.8<br> LFA_Rd4t02_### 12.6 1.25 x 2 4.0 0.2<br> LFA_Rd4t08_### 12.6 1.25 x 2 4.0 0.8</p> <p>Where ### denotes the furnace bonding batch (A-C and N for no bonding cycle) and sample number (01-30). Values in mm.</p>
IBSim Virtual Test Benchmark Data - Experiment Type: Thermal (LFA), SampleID: LFA_Rd4t08_A15, Data: XCT
<p>Sample ID: LFA_Rd4t08_A15</p> <p>X-ray tomography (CT) image data of a Ti6Al4V disc. The 3D image was generated with an X-ray tomography scan performed by Dr Llion Evans with Swansea University, Advanced Imaging of Materials (AIM) equipment.</p> <p>The dataset includes: raw radiographs; scan & reconstruction parameter settings file; reconstructed 3D volume. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). The volume image data (.raw file) is in binary format and has the following characteristics: 1920 x 1920 x 1536; 16-bit; little-endian byte order.</p> <p>This data is part of a 'virtual testing' benchmark study, where samples are tested physically in the lab and their microscale accurate digital equivalent are tested virtually through simulation. The technique of converting 3D volumetric images directly into finite element method (FEM) meshes is part of the Image-Based Simulation (IBSim) approach.</p> <p>This data is part of a batch of samples for thermal testing via laser flash analysis (LFA), following the standards ASTM E1461 / ASTM E2585. As part of the study, controlled defects were introduced into the samples. This was achieved by machining a disc shaped recess (of defined diameter and depth) into one disc which is bonded onto another disc, so that the defect is located internally within the final sample.</p> <p>The samples in the batch are named as follows.</p> <p>Sample ID Diameter Thickness Recess d Recess t<br> LFA_RNA_### 12.6 2.5 N/A N/A<br> LFA_Rd0t00_### 12.6 1.25 x 2 N/A N/A<br> LFA_Rd8t02_### 12.6 1.25 x 2 8.0 0.2<br> LFA_Rd8t08_### 12.6 1.25 x 2 8.0 0.8<br> LFA_Rd6t02_### 12.6 1.25 x 2 6.0 0.2<br> LFA_Rd6t08_### 12.6 1.25 x 2 6.0 0.8<br> LFA_Rd4t02_### 12.6 1.25 x 2 4.0 0.2<br> LFA_Rd4t08_### 12.6 1.25 x 2 4.0 0.8</p> <p>Where ### denotes the furnace bonding batch (A-C and N for no bonding cycle) and sample number (01-30). Values in mm.</p>
IBSim Virtual Test Benchmark Data - Experiment Type: Thermal (LFA), SampleID: LFA_Rd4t02_A13, Data: XCT
<p>Sample ID: LFA_Rd4t02_A13</p> <p>X-ray tomography (CT) image data of a Ti6Al4V disc. The 3D image was generated with an X-ray tomography scan performed by Dr Llion Evans with Swansea University, Advanced Imaging of Materials (AIM) equipment.</p> <p>The dataset includes: raw radiographs; scan & reconstruction parameter settings file; reconstructed 3D volume. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). The volume image data (.raw file) is in binary format and has the following characteristics: 1920 x 1920 x 1536; 16-bit; little-endian byte order.</p> <p>This data is part of a 'virtual testing' benchmark study, where samples are tested physically in the lab and their microscale accurate digital equivalent are tested virtually through simulation. The technique of converting 3D volumetric images directly into finite element method (FEM) meshes is part of the Image-Based Simulation (IBSim) approach.</p> <p>This data is part of a batch of samples for thermal testing via laser flash analysis (LFA), following the standards ASTM E1461 / ASTM E2585. As part of the study, controlled defects were introduced into the samples. This was achieved by machining a disc shaped recess (of defined diameter and depth) into one disc which is bonded onto another disc, so that the defect is located internally within the final sample.</p> <p>The samples in the batch are named as follows.</p> <p>Sample ID Diameter Thickness Recess d Recess t<br> LFA_RNA_### 12.6 2.5 N/A N/A<br> LFA_Rd0t00_### 12.6 1.25 x 2 N/A N/A<br> LFA_Rd8t02_### 12.6 1.25 x 2 8.0 0.2<br> LFA_Rd8t08_### 12.6 1.25 x 2 8.0 0.8<br> LFA_Rd6t02_### 12.6 1.25 x 2 6.0 0.2<br> LFA_Rd6t08_### 12.6 1.25 x 2 6.0 0.8<br> LFA_Rd4t02_### 12.6 1.25 x 2 4.0 0.2<br> LFA_Rd4t08_### 12.6 1.25 x 2 4.0 0.8</p> <p>Where ### denotes the furnace bonding batch (A-C and N for no bonding cycle) and sample number (01-30). Values in mm.</p>
IBSim Virtual Test Benchmark Data - Experiment Type: Thermal (LFA), SampleID: LFA_Rd6t08_A11, Data: XCT
<p>Sample ID: LFA_Rd6t08_A11</p> <p>X-ray tomography (CT) image data of a Ti6Al4V disc. The 3D image was generated with an X-ray tomography scan performed by Dr Llion Evans with Swansea University, Advanced Imaging of Materials (AIM) equipment.</p> <p>The dataset includes: raw radiographs; scan & reconstruction parameter settings file; reconstructed 3D volume. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). The volume image data (.raw file) is in binary format and has the following characteristics: 1920 x 1920 x 1536; 16-bit; little-endian byte order.</p> <p>This data is part of a 'virtual testing' benchmark study, where samples are tested physically in the lab and their microscale accurate digital equivalent are tested virtually through simulation. The technique of converting 3D volumetric images directly into finite element method (FEM) meshes is part of the Image-Based Simulation (IBSim) approach.</p> <p>This data is part of a batch of samples for thermal testing via laser flash analysis (LFA), following the standards ASTM E1461 / ASTM E2585. As part of the study, controlled defects were introduced into the samples. This was achieved by machining a disc shaped recess (of defined diameter and depth) into one disc which is bonded onto another disc, so that the defect is located internally within the final sample.</p> <p>The samples in the batch are named as follows.</p> <p>Sample ID Diameter Thickness Recess d Recess t<br> LFA_RNA_### 12.6 2.5 N/A N/A<br> LFA_Rd0t00_### 12.6 1.25 x 2 N/A N/A<br> LFA_Rd8t02_### 12.6 1.25 x 2 8.0 0.2<br> LFA_Rd8t08_### 12.6 1.25 x 2 8.0 0.8<br> LFA_Rd6t02_### 12.6 1.25 x 2 6.0 0.2<br> LFA_Rd6t08_### 12.6 1.25 x 2 6.0 0.8<br> LFA_Rd4t02_### 12.6 1.25 x 2 4.0 0.2<br> LFA_Rd4t08_### 12.6 1.25 x 2 4.0 0.8</p> <p>Where ### denotes the furnace bonding batch (A-C and N for no bonding cycle) and sample number (01-30). Values in mm.</p>
IBSim Virtual Test Benchmark Data - Experiment Type: Thermal (LFA), SampleID: LFA_Rd6t02_A09, Data: XCT
<p>Sample ID: LFA_Rd6t02_A09</p> <p>X-ray tomography (CT) image data of a Ti6Al4V disc. The 3D image was generated with an X-ray tomography scan performed by Dr Llion Evans with Swansea University, Advanced Imaging of Materials (AIM) equipment.</p> <p>The dataset includes: raw radiographs; scan & reconstruction parameter settings file; reconstructed 3D volume. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). The volume image data (.raw file) is in binary format and has the following characteristics: 1920 x 1920 x 1536; 16-bit; little-endian byte order.</p> <p>This data is part of a 'virtual testing' benchmark study, where samples are tested physically in the lab and their microscale accurate digital equivalent are tested virtually through simulation. The technique of converting 3D volumetric images directly into finite element method (FEM) meshes is part of the Image-Based Simulation (IBSim) approach.</p> <p>This data is part of a batch of samples for thermal testing via laser flash analysis (LFA), following the standards ASTM E1461 / ASTM E2585. As part of the study, controlled defects were introduced into the samples. This was achieved by machining a disc shaped recess (of defined diameter and depth) into one disc which is bonded onto another disc, so that the defect is located internally within the final sample.</p> <p>The samples in the batch are named as follows.</p> <p>Sample ID Diameter Thickness Recess d Recess t<br> LFA_RNA_### 12.6 2.5 N/A N/A<br> LFA_Rd0t00_### 12.6 1.25 x 2 N/A N/A<br> LFA_Rd8t02_### 12.6 1.25 x 2 8.0 0.2<br> LFA_Rd8t08_### 12.6 1.25 x 2 8.0 0.8<br> LFA_Rd6t02_### 12.6 1.25 x 2 6.0 0.2<br> LFA_Rd6t08_### 12.6 1.25 x 2 6.0 0.8<br> LFA_Rd4t02_### 12.6 1.25 x 2 4.0 0.2<br> LFA_Rd4t08_### 12.6 1.25 x 2 4.0 0.8</p> <p>Where ### denotes the furnace bonding batch (A-C and N for no bonding cycle) and sample number (01-30). Values in mm.</p>
IBSim Virtual Test Benchmark Data - Experiment Type: Thermal (LFA), SampleID: LFA_Rd8t08_A07, Data: XCT
<p>Sample ID: LFA_Rd8t08_A07</p> <p>X-ray tomography (CT) image data of a Ti6Al4V disc. The 3D image was generated with an X-ray tomography scan performed by Dr Llion Evans with Swansea University, Advanced Imaging of Materials (AIM) equipment.</p> <p>The dataset includes: raw radiographs; scan & reconstruction parameter settings file; reconstructed 3D volume. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). The volume image data (.raw file) is in binary format and has the following characteristics: 1920 x 1920 x 1536; 16-bit; little-endian byte order.</p> <p>This data is part of a 'virtual testing' benchmark study, where samples are tested physically in the lab and their microscale accurate digital equivalent are tested virtually through simulation. The technique of converting 3D volumetric images directly into finite element method (FEM) meshes is part of the Image-Based Simulation (IBSim) approach.</p> <p>This data is part of a batch of samples for thermal testing via laser flash analysis (LFA), following the standards ASTM E1461 / ASTM E2585. As part of the study, controlled defects were introduced into the samples. This was achieved by machining a disc shaped recess (of defined diameter and depth) into one disc which is bonded onto another disc, so that the defect is located internally within the final sample.</p> <p>The samples in the batch are named as follows.</p> <p>Sample ID Diameter Thickness Recess d Recess t<br> LFA_RNA_### 12.6 2.5 N/A N/A<br> LFA_Rd0t00_### 12.6 1.25 x 2 N/A N/A<br> LFA_Rd8t02_### 12.6 1.25 x 2 8.0 0.2<br> LFA_Rd8t08_### 12.6 1.25 x 2 8.0 0.8<br> LFA_Rd6t02_### 12.6 1.25 x 2 6.0 0.2<br> LFA_Rd6t08_### 12.6 1.25 x 2 6.0 0.8<br> LFA_Rd4t02_### 12.6 1.25 x 2 4.0 0.2<br> LFA_Rd4t08_### 12.6 1.25 x 2 4.0 0.8</p> <p>Where ### denotes the furnace bonding batch (A-C and N for no bonding cycle) and sample number (01-30). Values in mm.</p>
IBSim Virtual Test Benchmark Data - Experiment Type: Thermal (LFA), SampleID: LFA_Rd8t02_A05, Data: XCT
<p>Sample ID: LFA_Rd8t02_A05</p> <p>X-ray tomography (CT) image data of a Ti6Al4V disc. The 3D image was generated with an X-ray tomography scan performed by Dr Llion Evans with Swansea University, Advanced Imaging of Materials (AIM) equipment.</p> <p>The dataset includes: raw radiographs; scan & reconstruction parameter settings file; reconstructed 3D volume. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). The volume image data (.raw file) is in binary format and has the following characteristics: 1920 x 1920 x 1536; 16-bit; little-endian byte order.</p> <p>This data is part of a 'virtual testing' benchmark study, where samples are tested physically in the lab and their microscale accurate digital equivalent are tested virtually through simulation. The technique of converting 3D volumetric images directly into finite element method (FEM) meshes is part of the Image-Based Simulation (IBSim) approach.</p> <p>This data is part of a batch of samples for thermal testing via laser flash analysis (LFA), following the standards ASTM E1461 / ASTM E2585. As part of the study, controlled defects were introduced into the samples. This was achieved by machining a disc shaped recess (of defined diameter and depth) into one disc which is bonded onto another disc, so that the defect is located internally within the final sample.</p> <p>The samples in the batch are named as follows.</p> <p>Sample ID Diameter Thickness Recess d Recess t<br> LFA_RNA_### 12.6 2.5 N/A N/A<br> LFA_Rd0t00_### 12.6 1.25 x 2 N/A N/A<br> LFA_Rd8t02_### 12.6 1.25 x 2 8.0 0.2<br> LFA_Rd8t08_### 12.6 1.25 x 2 8.0 0.8<br> LFA_Rd6t02_### 12.6 1.25 x 2 6.0 0.2<br> LFA_Rd6t08_### 12.6 1.25 x 2 6.0 0.8<br> LFA_Rd4t02_### 12.6 1.25 x 2 4.0 0.2<br> LFA_Rd4t08_### 12.6 1.25 x 2 4.0 0.8</p> <p>Where ### denotes the furnace bonding batch (A-C and N for no bonding cycle) and sample number (01-30). Values in mm.</p>
IBSim Virtual Test Benchmark Data - Experiment Type: Thermal (LFA), SampleID: LFA_Rd0t00_A03, Data: XCT
<p>Sample ID: LFA_Rd0t00_A03</p> <p>X-ray tomography (CT) image data of a Ti6Al4V disc. The 3D image was generated with an X-ray tomography scan performed by Dr Llion Evans with Swansea University, Advanced Imaging of Materials (AIM) equipment.</p> <p>The dataset includes: raw radiographs; scan & reconstruction parameter settings file; reconstructed 3D volume. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). The volume image data (.raw file) is in binary format and has the following characteristics: 1920 x 1920 x 1536; 16-bit; little-endian byte order.</p> <p>This data is part of a 'virtual testing' benchmark study, where samples are tested physically in the lab and their microscale accurate digital equivalent are tested virtually through simulation. The technique of converting 3D volumetric images directly into finite element method (FEM) meshes is part of the Image-Based Simulation (IBSim) approach.</p> <p>This data is part of a batch of samples for thermal testing via laser flash analysis (LFA), following the standards ASTM E1461 / ASTM E2585. As part of the study, controlled defects were introduced into the samples. This was achieved by machining a disc shaped recess (of defined diameter and depth) into one disc which is bonded onto another disc, so that the defect is located internally within the final sample.</p> <p>The samples in the batch are named as follows.</p> <p>Sample ID Diameter Thickness Recess d Recess t<br> LFA_RNA_### 12.6 2.5 N/A N/A<br> LFA_Rd0t00_### 12.6 1.25 x 2 N/A N/A<br> LFA_Rd8t02_### 12.6 1.25 x 2 8.0 0.2<br> LFA_Rd8t08_### 12.6 1.25 x 2 8.0 0.8<br> LFA_Rd6t02_### 12.6 1.25 x 2 6.0 0.2<br> LFA_Rd6t08_### 12.6 1.25 x 2 6.0 0.8<br> LFA_Rd4t02_### 12.6 1.25 x 2 4.0 0.2<br> LFA_Rd4t08_### 12.6 1.25 x 2 4.0 0.8</p> <p>Where ### denotes the furnace bonding batch (A-C and N for no bonding cycle) and sample number (01-30). Values in mm.</p>
Data from: experiment using Large Language Models for unit testing generation
<p>IMPORTANT: Upon acceptance, all data will be available on Zenodo.org, and the link updated here.</p><p><br>This dataset represents the anonymized information from: background check form, experiment feedback form and test files produced by experiment participants</p>
HiveTracks WorldFAIR Test Data
Open the record for dataset details and reuse information.
Data of the HDR injection test
<p>Data associated with the submitted paper on HDR injection test, including the field hydraulic fracturing pressure, microseismic data, well logs, fracturing pressure and CT scanning of laboratory fracturing experiments. </p>
CRDM@NCRC Test Data Set Wizard and Witch vaccination project against dragon pox
<p>This is a dummy data set to test restricted access. We created test data about vaccination of wizards and witches against dragon pox. The data set contains over 60 entries of the vaccination.</p>
FRS Test 1 data
<p>Before diving into the data please refer to the description of the <a href="https://mbd.pages.rwth-aachen.de/dlr_rdm/data/FRS/intro.html">FRS</a> system and the <a href="https://mbd.pages.rwth-aachen.de/dlr_rdm/">TRIPLE</a> project.</p> <p>The data represented here describes the permittivity measured with respect to depth. The measurement was carried out on 10.09.2024 in the Neumayer station, located in Antarctica, under the campaign name TRIPLE-Phase-2. The surface ice temperature was 240K, atmospheric pressure 1 bar, and 60% humidity. The readings were taken on ice as the IceCraft moved vertically downwards by melting the ice. The data obtained can also be theoretically assessed as here(link).</p> <p>Column: Depth, Vertical Distance, Spatially Varying, Permittivity</p>
PP-recyclates characterization after different sampling and recycling strategies - Tensile tests data
<p>The purpose of this analysis is to evaluate the efficiency of different recycling procedures and the quality of the resulting recyclates.</p> <p>This dataset contains tensile testis raw data of PP-recyclates from different recycling strategies. The content is:</p> <ul> <li>One Excel file containing rensile testing data of PP recyclates after scCO2 recycling, reference samples and measurement protocol</li> <li>One Excel file containing tensile testing data of PP recyclates after solvent-based recycling, reference samples and measurement protocol</li> <li>One Excel file containing tensile testing data of PP recyclates after upcycling, reference samples and measurement protocol</li> <li>One Readme file containing further information about the methodology and nomenclature</li> </ul> <p>This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)</p> <p> </p>
DWARC test data file
<p>DWARC test data file</p>
Ecotoxicity data realted to the ELECTRA 826244 H2020 project Deliverable 2.1 entitled "Description of the prototypes set-up for field testing"
<p>Ecotoxicity testing was carried out within the frame of the ELECTRA No. 826244 H2020 project. Samples were provided by partners from laboratory experiments. This dataset contains ecotoxicity data related to technologies described in Deliverable 2.1 entitled Description of the prototypes set-up for field testing.</p>
Testing Topographic equilibrium between the Ganga and the Narmada River systems, central Indian forebulge (Chi analysis data).
<p>This data contains the .csv files which are generated in order to find the Chi metrics, Normalized steepness index and best fit theta value for the rivers flowing (viz, Chambal, Sindh, Betwa, Ken, Tamas, Son and Narmada river systems) on the central Indian plateau. The data belongs to the paper titled "Testing Topographic equilibrium between the Ganga and the Narmada River systems, central Indian forebulge" that is in review process.</p> <p>We have used the program "LSDTopoTools" to generate these dataset. The files having prefix "parv_125_" are generated for a DEM of 125m resolution whereas the ones with prefix "3apr_90" are generated for the 90 m resolution DEM. These datasets are used to find out the best fit theta value (Concavity index) for the rivers flowing on the central Indian plateau. These datasets are further converted to simplified figures using Python programming. The file having the name "ind_2k_50_MChiSegmented.csv" is the final dataset which is used to generate maps of the Chi metrics and Normalized steepness values using a GIS software.</p>
WRF-Chem configurations and input data sets for sensitivity tests of emission inventories
<p>WRF-Chem and WPS v4.4 source codes and their configurations with namelist files.</p> <p>Emission inventory data sets (EDGAR-HTAP v2 and v3) for 'anthro_emis' input are included.</p> <p>The KORUS v5 emission data are provided with 'wrfchemi' format.</p> <p>The 'namelist.input' contains physics and chemistry options that are used for WRF-Chem model.</p> <p>The model grid information is available in 'namelist.wps'.</p> <p> </p> <p>Kim, K.-M., Kim, S.-W., Seo, S., Blake, D. R., Cho, S., Crawford, J. H., Emmons, L., Fried, A., Herman, J. R., Hong, J., Jung, J., Pfister, G., Weinheimer, A. J., Woo, J.-H., and Zhang, Q.: Sensitivity of the WRF-Chem v4.4 ozone, formaldehyde, and precursor simulations to multiple bottom-up emission inventories over East Asia during the KORUS-AQ 2016 field campaign, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2023-132, in review, 2023.</p>
ScienceDex guides
Understand access before you commit
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.