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20 results for “LFA”
Language Function Analysis 2011 Corpus (LFA-11)
<p>The Language Function Analysis 2011 Corpus (LFA-11) is a German text corpus of promotional text, reviews and blog posts on music and smartphones. The texts were manually classified with respect to their topic relevance, language function, and sentiment polarity.</p> <p>The purpose of the corpus is to provide textual data for the development and evaluation of approaches to language function analysis and sentiment analysis. Therefore, each text is classified by language function (personal, commercial, or informational) as well as by sentiment (positive, negative, neutral).</p> <p>The corpus consists of two separated collections, which contain the texts about <em>music</em> and <em>smartphones</em> respectively. The music collection consists of 2,713 promotional texts and reviews from both users and professionals. The smartphone collection contains 2,093 blog posts on smartphones from the <a href="http://spinn3r.com/">Spinn3r corpus</a>.</p>
Tutorial "LFA front side measurement"
<p>E-learning module about front side measurements using the laser flash method which is part of a tutorial series prepared in the framework of the Hi-TRACE project. </p>
LFA experiments on Geant network, virtuall wall 1, rlite
<p>This contains perf flows and rtt reports.</p> <p>See ARCFIRE D4.4 for data analysis.</p>
Data from: Cytosolic S100A8/A9 promotes Ca2+ supply at LFA-1 adhesion clusters during neutrophil recruitment
Open the record for dataset details and reuse information.
Figure 1 from: Gouvêa YF, de Paula LFA, Stehmann JR, Giacomin LL (2020) Solanum hydroides (Solanaceae): a prickly novelty from the land of the sugar loaves, central Brazilian Atlantic Forest. PhytoKeys 139: 63-76. https://doi.org/10.3897/phytokeys.139.46635
Figure 1 Solanum hydroides Gouvêa & Giacomin. (A, G–I field pictures from specimens L.F.A. de Paula et al. 669, BHCB; B–EY.F. Gouvêa & G.V.A. Santos 325, BHCB). A Habit (bottom right corner: young plant with larger leaves) B flowering branch C inflorescence and a flower in lateral view (note that calyx does not have a plicate aspect at the base of the calyx tube) D long-styled flower, front view E mature fruit (note the calyx does not completely cover the berry) F scanning electron micrograph of seed G trichomes; upper: the usual morphology of the stellate trichomes of S. hydroides adaxial leaf surface; lower: examples of stellate trichomes with reduced number of rays (note the multiseriate stalks) H stem indumentum; I adaxial leaf surface indumentum. Scale bars: 30 cm (A); 7.5 cm (B); 1.3 cm (C–D); 1 cm (E); 0.8 mm (F–I). Photographs: A by L.F.A de Paula B–E, G–I by Y.F. Gouvêa.
Figure 2 from: Gouvêa YF, de Paula LFA, Stehmann JR, Giacomin LL (2020) Solanum hydroides (Solanaceae): a prickly novelty from the land of the sugar loaves, central Brazilian Atlantic Forest. PhytoKeys 139: 63-76. https://doi.org/10.3897/phytokeys.139.46635
Figure 2 Distribution of Solanum hydroides Gouvêa & Giacomin (stars), S. hexandrum Vell. (circles) and S. sublentum Hiern. (triangles). State acronyms: BA (Bahia); ES (Espírito Santo); MG (Minas Gerais); GO (Goiás); RJ (Rio de Janeiro); SP (São Paulo).
Supplementary material 1 from: Gouvêa YF, de Paula LFA, Stehmann JR, Giacomin LL (2020) Solanum hydroides (Solanaceae): a prickly novelty from the land of the sugar loaves, central Brazilian Atlantic Forest. PhytoKeys 139: 63-76. https://doi.org/10.3897/phytokeys.139.46635
: Data type: species data
Figure 3 from: Gouvêa YF, de Paula LFA, Stehmann JR, Giacomin LL (2020) Solanum hydroides (Solanaceae): a prickly novelty from the land of the sugar loaves, central Brazilian Atlantic Forest. PhytoKeys 139: 63-76. https://doi.org/10.3897/phytokeys.139.46635
Figure 3 Distinctive characters of species morphologically related to Solanum hydroides Gouvêa & Giacomin. [A, C, E, G: S. hexandrum Vell. (L.L. Giacomin et al. 875, BHCB); B, D, F, H: S. sublentum Hiern. (J.R. Stehmann et al. 6372, BHCB)]. A–B Habit (note difference in robustness) C long-styled flower, front view D inflorescence and flower in back view (note the inflated and plicate aspect of the calyx tube) E inflorescence with fruits in different stages of development (note that the inflated fruiting calyx completely covers the fruit in all stages of development) F long-styled flower G fruits (note the plicate aspect of the fruiting calyx) H–I indumentum of the adaxial leaf surface. Scale bars: 15 cm (A); 10 cm (B); 3 cm (C); 2 cm (D, G); 1.4 cm (E); 1 mm (F); 1.2 mm (H). Photographs: A, C, E by L.L. Giacomin B, D, F by J.R. Stehmann G–H by Y.F. Gouvêa.
Supplementary material 2 from: Gouvêa YF, de Paula LFA, Stehmann JR, Giacomin LL (2020) Solanum hydroides (Solanaceae): a prickly novelty from the land of the sugar loaves, central Brazilian Atlantic Forest. PhytoKeys 139: 63-76. https://doi.org/10.3897/phytokeys.139.46635
: Data type: species data
Tumour PSGL-1 suppresses macrophage phagocytosis via impeding LFA-1 activation
GEO Series GSE243998. Mus musculus. 13 samples. Type: Expression profiling by high throughput sequencing.
LFA-1 regulated by IL-2/STAT5 pathway boosts antitumor function of intratumoral CD8+ T cells for improving anti-PD-1 antibody therapy
GEO Series GSE249184. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
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>
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.