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Dataset results
23 results for “LMD”
Gold-Caps_LMD-Matched_General
<p>This dataset contains captions for the <a href="https://colinraffel.com/projects/lmd/">Lakh MIDI Dataset-matched</a> music dataset (~30,000 tracks with accompanying MIDI files).</p><p>These captions were generated by the <strong>gpt-4-1106-preview</strong> chat endpoint prompted to describe each track based on the track title and artist. The captions have not been filtered or post-processed in any way.</p><p><strong>Prompt used:</strong><br>"Give a general description of the track <title> by <artist_name> in one sentence. Don't mention the title or artist."</p>
LMD Inconel 718 Thin walls 2019-12-05
<p>Description of dataset 10.5281/zenodo.3981107</p> <p>Deposition of Inconel 718 thin walls with process parameters:<br> - Nominal power = 200 (W)<br> - Nominal velocity = 300 (mm/min)<br> - Powder flux = 0.0825 (g/s)<br> - Nr. layers per wall: 1, 2, 4, 8, 16<br> - Nr. nozzles = 4<br> - Argon carrier flux = 4 (l/min)<br> - Argon shielding gas flux = 15 (l/min)<br> - Substrate temperature = Ambient<br> - Nr. repetitions: 2 (of whole experiment)</p> <p>The dataset is constituted by:<br> - Melt pool images, in file Experiment_2019_12_5__15_58_3.zip (subfolder Deposition_2019_12_05__16_00_17 for rep1, subfolder Deposition_2019_12_05__16_14_23 for rep2), acquired at 200fps with 850 nm narrow band filter, 1ms exposure time. 400x400 px size<br> - trackData_20191205_rep1.csv (or [...]_rep2.csv) containing:<br> - t: timestamp in ms. Synchronized imageData_20191008.csv<br> - Xpos: laser spot X position in workspace<br> - Ypos: laser spot Y position in workspace<br> - Zpos: laser spot Z position in workspace<br> - G1: binary signal indicating active deposition (G1=1) or not<br> - D: track width measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - H: track heigth measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - A: track section area measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - sdres: roughness index of section profile (std. deviation w.r.t. smoothed profile)<br> - Vnom: laser spot translational speed in m/s (computed from Xpos, Ypos, Zpos and t data)<br> - Pnom: nominal power<br> - V: Vnom in mm/min<br> - imageData_20191205_rep1.csv (or [...]_rep2.csv) containing:<br> - t: timestamp in ms. Synchronized with trackData_20191205_rep1.csv (some frames may have been lost)<br> - I_mean: mean image intensity (only on red channel)<br> - I_mean_crop: mean image intensity computed on central cropped image area (180x180 pixels)<br> - M_I_mean: I_mean after application of 8-sample moving average<br> - M_I_mean_crop: I_mean_crop after application of 8-sample moving average<br> - fileName: associated image file name<br> - beamON: laserON signal obtained from thresholding on images (background noise = off, minimal intensity level = on)</p>
LMD Inconel 718 V-tracks 2020-07-31
<p>Description of dataset 10.5281/zenodo.3980733</p> <p>Deposition of Inconel 718 single tracks with process parameters:<br> - Nominal power = 300 (W)<br> - Nominal velocities = 350, 600, 900 (mm/min)<br> - Angles = 20°, 45°, 90°<br> - Powder flux = 0.099 (g/s)<br> - Nr. nozzles = 4<br> - Argon carrier flux = 4 (l/min)<br> - Argon shielding gas flux = 15 (l/min)<br> - Substrate temperature = Ambient</p> <p>The dataset is constituted by:<br> - Melt pool images, in file Experiment_2020_7_31__16_19_31.zip, acquired at 200fps with 850 nm narrow band filter, 5ms exposure time. 400x400 px size<br> - trAll.csv containing:<br> - t: timestamp in ms. Synchronized with imAll.csv<br> - Xpos: laser spot X position in workspace<br> - Ypos: laser spot Y position in workspace<br> - Zpos: laser spot Z position in workspace<br> - G1: binary signal indicating active deposition (G1=1) or not<br> - D: track width measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - H: track heigth measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - A: track section area measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - sdres: roughness index of section profile (std. deviation w.r.t. smoothed profile)<br> - Vnom: laser spot translational speed in m/s (computed from Xpos, Ypos, Zpos and t data)<br> - Pnom: nominal power<br> - V: Vnom in mm/min<br> - imAll.csv containing:<br> - t: timestamp in ms. Synchronized with trAll.csv (some frames may have been lost)<br> - I_mean: mean image intensity (only on red channel)<br> - I_mean_crop: mean image intensity computed on central cropped image area (180x180 pixels)<br> - M_I_mean: I_mean after application of 8-sample moving average<br> - M_I_mean_crop: I_mean_crop after application of 8-sample moving average<br> - fileName: associated image file name<br> - beamON: laserON signal obtained from thresholding on images (background noise = off, minimal intensity level = on)</p>
LMD Inconel 718 Random Tracks 12 versions 2021-03-03
<p>Description of dataset 10.5281/zenodo.5607321</p> <p>12 versions of deposition of 4 "random pattern" tracks<br> Inconel 718 tracks with process parameters:<br> - Powder flux = 0.099 (g/s)<br> - Nr. nozzles = 4<br> - Argon carrier flux = 4 (l/min)<br> - Argon shielding gas flux = 15 (l/min)<br> - Substrate temperature = Ambient<br> - Machine: Laserdyne 430<br> Power and velocity used in each experiment are described in the CNC file name (and g-code)</p> <p>The dataset is constituted by 12 .zip files (exp01.zip to exp12.zip), each one containing:</p> <p>- G-code part program, with name code Exp[n]_RandomTrack_4_rot_False_V[v]_P[p], where:<br> - [n] is the experiment index (1-12)<br> - [v] is the used deposition velocity (in mm/min)<br> - [p] is the used laser power (in W)<br> - trAll_ONEms.csv containing:<br> - t: timestamp in ms.<br> - Xpos: laser spot X position in workspace<br> - Ypos: laser spot Y position in workspace<br> - Zpos: laser spot Z position in workspace<br> - G1: binary signal indicating active deposition (G1=1) or not<br> - D: track width measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - H: track heigth measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - A: track section area measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - sdres: roughness index of section profile (std. deviation w.r.t. smoothed profile)<br> - Vnom: laser spot translational speed in m/s (computed from Xpos, Ypos, Zpos and t data)<br> - Pnom: nominal power</p>
LMD Inconel 718 Random Tracks 2021-03-03 r2
<p>Description of dataset 10.5281/zenodo.5607279</p> <p>Deposition of 4 Inconel 718 random tracks with process parameters:<br> - Nominal power = 300 (W)<br> - Nominal velocity = 600 (mm/min)<br> - Powder flux = 0.0825 (g/s)<br> - Spiral size: 60 mm side, 3 mm step<br> - Nr. nozzles = 4<br> - Argon carrier flux = 4 (l/min)<br> - Argon shielding gas flux = 15 (l/min)<br> - Substrate temperature = Ambient<br> - Machine: Laserdyne 430</p> <p>The dataset is constituted by:<br> - Melt pool images, in file Deposition_2021_03_03__15_42_36.zip, acquired at 200fps with 850 nm narrow band filter, 1ms exposure time. 400x400 px size<br> - trAll.csv containing:<br> - t: timestamp in ms. Synchronized with imAll.csv<br> - Xpos: laser spot X position in workspace<br> - Ypos: laser spot Y position in workspace<br> - Zpos: laser spot Z position in workspace<br> - G1: binary signal indicating active deposition (G1=1) or not<br> - D: track width measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - H: track heigth measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - A: track section area measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - sdres: roughness index of section profile (std. deviation w.r.t. smoothed profile)<br> - Vnom: laser spot translational speed in m/s (computed from Xpos, Ypos, Zpos and t data)<br> - Pnom: nominal power<br> - V: Vnom in mm/min<br> - imAll.csv containing:<br> - t: timestamp in ms. Synchronized with trAll.csv<br> - I_mean: mean image intensity (only on red channel)<br> - I_mean_crop: mean image intensity computed on central cropped image area (180x180 pixels)<br> - M_I_mean: I_mean after application of 8-sample moving average<br> - M_I_mean_crop: I_mean_crop after application of 8-sample moving average<br> - fileName: associated image file name<br> - beamON: laserON signal obtained from thresholding on images (background noise = off, minimal intensity level = on)</p> <p>Additional source files:<br> - G-Code part program RandomTrack_0_rot_False.cnc<br> - Machine log file Scope 20210303-154513 RANDOMTRACK_r2.mos<br> - 3D scan of sample geometry randomTrack_r2_keyence_2_skip3_surface<br> - Sample photo 20210303_RandomTracks_r2.jpeg</p>
Multi-modal dataset for music genre recognition based on six different modalities for LMD-aligned and SLAC datasets
<p>Multi-modal dataset for music genre recognition based on six different modalities for the LMD-aligned [1] and SLAC [2] datasets. Further details are provided in [3].</p> <p><strong>Descriptions of files</strong></p> <table> <thead> <tr> <th scope="col">Link</th> <th scope="col">Description</th> </tr> </thead> <tbody> <tr> <td><a href="https://zenodo.org/record/5651429/files/LMD-aligned_Filelist.arff">LMD-aligned_Filelist.arff</a></td> <td>File list with 1575 music tracks selected from the LMD-aligned dataset [1] with tagtraum genre annotations [4] (only a subset of LMD-aligned is used, which includes only pieces for which all six modalities were accessible, and which includes only well-represented genres)</td> </tr> <tr> <td><a href="https://zenodo.org/record/5651429/files/LMD-aligned_ExtractedFeatures.tar.gz">LMD-aligned_ExtractedFeatures.tar.gz</a></td> <td>Raw audio signal and model-based features extracted with AMUSE [5]</td> </tr> <tr> <td><a href="https://zenodo.org/record/5651429/files/LMD-aligned_ProcessedFeatures.tar.gz">LMD-aligned_ProcessedFeatures.tar.gz</a></td> <td>Processed features: audio signal and model-based features aggregated for 4 s time frames with 2 s step size / all other features (see the table below) with the same values for all time frames</td> </tr> <tr> <td><a href="https://zenodo.org/record/5651429/files/LMD-aligned_Datasets.tar.gz">LMD-aligned_Datasets.tar.gz</a></td> <td>Training, optimization, and test datasets for 3 splits for the recognition of 5 genres in [3]</td> </tr> <tr> <td><a href="https://zenodo.org/record/5651429/files/SLAC_Filelist.arff">SLAC_Filelist.arff</a></td> <td>File list with 250 music tracks from the SLAC dataset [2] (genres and sub-genres are provided in the folder structure)</td> </tr> <tr> <td><a href="https://zenodo.org/record/5651429/files/SLAC_ExtractedFeatures.tar.gz">SLAC_ExtractedFeatures.tar.gz</a></td> <td>Raw audio signal and model-based features extracted with AMUSE [5]</td> </tr> <tr> <td><a href="https://zenodo.org/record/5651429/files/SLAC_ProcessedFeatures.tar.gz">SLAC_ProcessedFeatures.tar.gz</a></td> <td>Processed features: audio signal and model-based features aggregated for 4 s time frames with 2 s step size / all other features (see the table below) with the same values for all time frames</td> </tr> <tr> <td><a href="https://zenodo.org/record/5651429/files/SLAC_Datasets.tar.gz">SLAC_Datasets.tar.gz</a></td> <td>Training, optimization, and test datasets for 3 splits for the recognition of 5 genres and 10 sub-genres in [3]</td> </tr> </tbody> </table> <p><strong>Modalities and feature sub-groups</strong></p> <table> <thead> <tr> <th scope="col">Modality</th> <th scope="col">Sub-group</th> <th scope="col"> <p>Dimensions in processed</p> <p>features of LMD-aligned</p> </th> <th scope="col"> <p>Dimensions in processed</p> <p>features of SLAC</p> </th> </tr> </thead> <tbody> <tr> <td>Audio signal</td> <td>Low-level</td> <td>1-524</td> <td>1-524</td> </tr> <tr> <td>Audio signal</td> <td>Semantic</td> <td>525-810</td> <td>525-810</td> </tr> <tr> <td>Audio signal</td> <td>Structural complexity</td> <td>811-908</td> <td>811-908</td> </tr> <tr> <td>Model-based</td> <td>Instruments</td> <td>909-1018</td> <td>909-1018</td> </tr> <tr> <td>Model-based</td> <td>Moods</td> <td>1019-1146</td> <td>1019-1146</td> </tr> <tr> <td>Model-based</td> <td>Various</td> <td>1147-1402</td> <td>1147-1402</td> </tr> <tr> <td>Playlists</td> <td>Genres</td> <td>1403-1973</td> <td>1403-1973</td> </tr> <tr> <td>Playlists</td> <td>Styles</td> <td>1974-1695</td> <td>1974-1695</td> </tr> <tr> <td>Symbolic</td> <td>Pitch</td> <td>1696-1757</td> <td>1696-1757</td> </tr> <tr> <td>Symbolic</td> <td>Melodic</td> <td>1758-1781</td> <td>1758-1781</td> </tr> <tr> <td>Symbolic</td> <td>Chords</td> <td>1782-1836</td> <td>1782-1836</td> </tr> <tr> <td>Symbolic</td> <td>Rhythm</td> <td>1837-1935</td> <td>1837-1935</td> </tr> <tr> <td>Symbolic</td> <td>Tempo</td> <td>1936-1963</td> <td>1936-1963</td> </tr> <tr> <td>Symbolic</td> <td>Instrument presence</td> <td>1964-2441</td> <td>1964-2441</td> </tr> <tr> <td>Symbolic</td> <td>Instruments</td> <td>2442-2456</td> <td>2442-2456</td> </tr> <tr> <td>Symbolic</td> <td>Texture</td> <td>2457-2480</td> <td>2457-2480</td> </tr> <tr> <td>Symbolic</td> <td>Dynamics</td> <td>2481-2484</td> <td>2481-2484</td> </tr> <tr> <td>Album covers</td> <td>SIFT</td> <td>2485-2584</td> <td>2485-2584</td> </tr> <tr> <td>Lyrics</td> <td>jLyrics descriptors</td> <td>2585-2603</td> <td>2585-2671</td> </tr> <tr> <td>Lyrics</td> <td>Bag-of-Words</td> <td>2604-2703</td> <td> </td> </tr> <tr> <td>Lyrics</td> <td>Doc2Vec</td> <td>2704-2803</td> <td> </td> </tr> </tbody> </table>
NEMARCO project: Dataset for the publication "Development of a new manufacturing route for NiCrSiFeB alloys by Direct Energy Deposition Laser Beam process (LMD)"
<p><strong>LMD dataset</strong></p> <p>This dataset gathers data from different parts of the Laser Metal Deposition metal Additive Manufacturing process (DED-LB). The dataset covers not only the process development data for samples manufacturing and monitored data of the melt pool size during the process, but also the metrics associated to the powder feedstock consumption, energy consumption and process efficiency.</p> <p><strong>Motivation</strong></p> <p>Nickel-based NiCrSiFeB alloy (Ni-Cr-Si-B self-fluxing family) are excellent candidates for replacing Cobalt-based alloys in aeronautical components such as sealing rings, valve seats, sliding bearing seats, etc. In this type of components, commonly manufactured by centrifugal casting and conventional processes, high temperature wear and stiffness under complex thermo-mechanical stresses cause lack of sealing and an increase in the wear rate. Metal additive manufacturing by direct laser metal deposition with powder (p-LMD) is presented as a potential manufacturing route for the complex processing of this type of alloys. This research work deals with the development of a new manufacturing route using p-LMD that ranges from the proper selection of the chemical composition for the starting powders, the development of the LMD process parameters to tackle the challenges associated to the wide solidification range and crack susceptibility of Ni-Cr-Si-B alloys, its monitoring and control, as well as the post- processing required to achieve the manufacture of aeronautical components.</p>
NEMARCO project: Dataset for the publication "Solidification Path, Strengthening Mechanisms and Hardness of Ni-Cr-Si-Fe-B Self-Fluxing Alloys Obtained by Laser-Directed Energy Deposition (LMD)"
<p><strong>LMD dataset</strong></p> <p>This dataset gathers data from different parts of the Laser Metal Deposition metal Additive Manufacturing process (DED-LB). The dataset covers not only the process development data for samples manufacturing and monitored data of the melt pool size during the process, but also the metrics associated to the powder feedstock consumption, energy consumption and process efficiency.</p> <p><strong>Motivation</strong></p> <p>Nickel-based Ni-Cr-Si-B self-fluxing alloys are excellent candidates to replace Cobalt-based alloys in aeronautical components. In this work, metal additive manufacturing by directed energy deposition using a laser beam (DED-LB, also known as LMD) and gas-atomized powders as a material feedstock is presented as a potential manufacturing route for the complex processing of these alloys. This research deals with the advanced material characterization of these alloys obtained by LMD and the study and understanding of their solidification paths and strengthening mechanisms.</p>
LMD Inconel 718 single tracks
<p>Description of dataset doi:10.5281/zenodo.3978982</p> <p>Deposition of Inconel 718 single tracks with process parameters:<br> - Nominal powers = 600, 300, 500, 400, 700, 200 (W)<br> - Nominal velocities = 300, 450, 600, 750, 900, 1050 (mm/min)<br> - Powder flux = 0.032 (g/s)<br> - Nr. nozzles = 4<br> - Argon carrier flux = 4 (l/min)<br> - Argon shielding gas flux = 15 (l/min)<br> - Substrate temperature = Ambient</p> <p>The dataset is constituted by:<br> - Melt pool images, in file Images.zip, acquired at 200fps with 850 nm narrow band filter, 5ms exposure time. 400x400 px size<br> - trackData_20191008.csv containing:<br> - t: timestamp in ms. Synchronized with imageData_20191008.csv<br> - Xpos: laser spot X position in workspace<br> - Ypos: laser spot Y position in workspace<br> - Zpos: laser spot Z position in workspace<br> - G1: binary signal indicating active deposition (G1=1) or not<br> - D: track width measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - H: track heigth measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - A: track section area measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - sdres: roughness index of section profile (std. deviation w.r.t. smoothed profile)<br> - Vnom: laser spot translational speed in m/s (computed from Xpos, Ypos, Zpos and t data)<br> - Pnom: nominal power<br> - V: Vnom in mm/min<br> - imageData_20191008.csv containing:<br> - t: timestamp in ms. Synchronized with trackData_20190212.csv (some frames may have been lost)<br> - I_mean: mean image intensity (only on red channel)<br> - I_mean_crop: mean image intensity computed on central cropped image area (180x180 pixels)<br> - M_I_mean: I_mean after application of 8-sample moving average<br> - M_I_mean_crop: I_mean_crop after application of 8-sample moving average<br> - fileName: associated image file name<br> - beamON: laserON signal obtained from thresholding on images (background noise = off, minimal intensity level = on)</p>
LMD Inconel 718 Spiral 2020-07-31
<p>Description of dataset 10.5281/zenodo.4049842</p> <p>Deposition of Inconel 718 square spiral with process parameters:<br> - Nominal power = 300 (W)<br> - Nominal velocity = 600 (mm/min)<br> - Powder flux = 0.0825 (g/s)<br> - Spiral size: 60 mm side, 3 mm step<br> - Nr. nozzles = 4<br> - Argon carrier flux = 4 (l/min)<br> - Argon shielding gas flux = 15 (l/min)<br> - Substrate temperature = Ambient</p> <p>The dataset is constituted by:<br> - Melt pool images, in file Deposition_2020_7_31__15_13_17.zip, acquired at 200fps with 850 nm narrow band filter, 1ms exposure time. 400x400 px size<br> - trackData_20200731.csv containing:<br> - t: timestamp in ms. Synchronized with imData_20200731.csv<br> - Xpos: laser spot X position in workspace<br> - Ypos: laser spot Y position in workspace<br> - Zpos: laser spot Z position in workspace<br> - G1: binary signal indicating active deposition (G1=1) or not<br> - D: track width measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - H: track heigth measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - A: track section area measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - sdres: roughness index of section profile (std. deviation w.r.t. smoothed profile)<br> - Vnom: laser spot translational speed in m/s (computed from Xpos, Ypos, Zpos and t data)<br> - Pnom: nominal power<br> - V: Vnom in mm/min<br> - imData_20200731.csv containing:<br> - t: timestamp in ms. Synchronized with trackData_20191205.csv (some frames may have been lost)<br> - I_mean: mean image intensity (only on red channel)<br> - I_mean_crop: mean image intensity computed on central cropped image area (180x180 pixels)<br> - M_I_mean: I_mean after application of 8-sample moving average<br> - M_I_mean_crop: I_mean_crop after application of 8-sample moving average<br> - fileName: associated image file name<br> - beamON: laserON signal obtained from thresholding on images (background noise = off, minimal intensity level = on)</p>
LMD Inconel 718 Spiral 2020-07-31 left
<p>Description of dataset 10.5281/zenodo.4061502</p> <p>Deposition of Inconel 718 square spiral with process parameters:<br> - Nominal power = 300 (W)<br> - Nominal velocity = 600 (mm/min)<br> - Powder flux = 0.0825 (g/s)<br> - Spiral size: 60 mm side, 3 mm step<br> - Nr. nozzles = 4<br> - Argon carrier flux = 4 (l/min)<br> - Argon shielding gas flux = 15 (l/min)<br> - Substrate temperature = Ambient</p> <p>This experiment took place on the same substrate of 10.5281/zenodo.4049842 (on the "left") and follows the same part program. In this case, the laser spot is slightly off-center in camera images.</p> <p>The dataset is constituted by:<br> - Melt pool images, in file Deposition_2020_07_31__13_09_50.zip, acquired at 200fps with 850 nm narrow band filter, 1ms exposure time. 400x400 px size<br> - trackData_20200731_left.csv containing:<br> - t: timestamp in ms. Synchronized with imData_20200731_left.csv<br> - Xpos: laser spot X position in workspace<br> - Ypos: laser spot Y position in workspace<br> - Zpos: laser spot Z position in workspace<br> - G1: binary signal indicating active deposition (G1=1) or not<br> - D: track width measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - H: track heigth measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - A: track section area measured at [Xpos(t), Ypos(t), Zpos(t)]<br> - sdres: roughness index of section profile (std. deviation w.r.t. smoothed profile)<br> - Vnom: laser spot translational speed in m/s (computed from Xpos, Ypos, Zpos and t data)<br> - Pnom: nominal power<br> - V: Vnom in mm/min<br> - imData_20200731_left.csv containing:<br> - t: timestamp in ms. Synchronized with trackData_20191205_left.csv (some frames may have been lost)<br> - I_mean: mean image intensity (only on red channel)<br> - I_mean_crop: mean image intensity computed on central cropped image area (180x180 pixels)<br> - M_I_mean: I_mean after application of 8-sample moving average<br> - M_I_mean_crop: I_mean_crop after application of 8-sample moving average<br> - fileName: associated image file name<br> - beamON: laserON signal obtained from thresholding on images (background noise = off, minimal intensity level = on)</p>
Tempo-CNN Training Datasets (LMD Tempo, GiantSteps MTG Tempo, EBall)
<p>Global tempo annotations used for training of the tempo estimation CNN presented in <a href="https://doi.org/10.5281/zenodo.1492353">A Single-step Approach to Musical Tempo Estimation using a Convolutional Neural Network</a>.</p>
Tucatinib, Trastuzumab, and Capecitabine for the Treatment of HER2+ LMD
ClinicalTrials.gov study NCT03501979. IPD Sharing: NO. Countries: 1. Publications: 0.
Afatinib on CNS Metastases and LMD in EGFR Mutation Positive NSCLC
ClinicalTrials.gov study NCT03711422. IPD Sharing: NO. Countries: 1. Publications: 2.
Tucatinib With Brain and/or Spinal XRT in Patients With HER2+ Metastatic Breast Cancer and LMD
ClinicalTrials.gov study NCT06016387. IPD Sharing: NO. Countries: 1. Publications: 0.
Disruption of transkingdom communication by antibiotics leads to immune and mitochondrial dysfunction in the gut (LMD)
GEO Series GSE60567. Mus musculus. 24 samples. Type: Expression profiling by array.
LMD-RNAseq of resting chondrocytes and proliferative chondrocytes
GEO Series GSE192840. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
TOVS LMD MONTHLY GRIDS from NOAA-10 V01 (TOVSBMNG) at GES DISC
Level 3 parameters from HIRS/2 and MSU radiances using the Improved Initialization Inversion (3I) classification retrieval scheme by the Laboratoire de Meteorologie Dynamique (Ecole Polytechnique) averaged over 1 month and mapped on to a 1x1 degree grid. This data was run as part of the NASA TOVS Pathfinder project and designated as Path-B. This dataset contains data from the NOAA-10 satellite.
TOVS LMD 5 DAY GRIDS from NOAA-12 V01 (TOVSB5ND) at GES DISC
Level 3 parameters from HIRS/2 and MSU radiances using the Improved Initialization Inversion (3I) classification retrieval scheme by the Laboratoire de Meteorologie Dynamique (Ecole Polytechnique) averaged over 5 days and mapped on to a 1x1 degree grid. This data was run as part of the NASA TOVS Pathfinder project and designated as Path-B. This dataset contains data from the NOAA-12 satellite.
TOVS LMD DAILY GRIDS from NOAA-12 V01 (TOVSBDND) at GES DISC
Level 3 parameters from HIRS/2 and MSU radiances using the Improved Initialization Inversion (3I) classification retrieval scheme by the Laboratoire de Meteorologie Dynamique (Ecole Polytechnique) averaged over 1 day and mapped on to a 1x1 degree grid. This data was run as part of the NASA TOVS Pathfinder project and designated as Path-B. This dataset contains data from the NOAA-12 satellite.
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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.