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246 results for “ROS”

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zenodo36/100

ROS-Specific Huntingtin Interactions: Chromatin Retention Assay Set-up

<p>Optimization of an assay to measure huntingtin chromatin retention in response to oxidative stress, using the YFP-tagged&nbsp;huntingtin-specific intrabody nucHCB2.</p>

opencc-by-4.0Jun 2019View details →
zenodo36/100

ROS-Specific Huntingtin Interactions: Chromatin Retention of Huntingtin in PARP KO Cells

<p>Huntingtin chromatin retention in response to oxidative stress in wild type, PARP1 knockout, PARP2 knockout, and PARP1/PARP2 knockout RPE1 cells.</p>

opencc-by-4.0Jun 2019View details →
zenodo36/100

ROS-Specific Huntingtin Interactions: Poly ADP Ribose Levels in STHdh Cells

<p>Comparison of poly ADP ribose levels in Q7/Q7 versus Q111/Q111 STHdh cells in response to oxidative stress.</p>

opencc-by-4.0Jun 2019View details →
zenodo36/100

ROS-Specific Huntingtin Interactions: Huntingtin chromatin retention dynamics by FRAP with veliparib

<p>Measurement of&nbsp;huntingtin chromatin recruitment dynamics by fluorescence recovery after photobleaching (FRAP) of the YFP-tagged huntingtin-specific intrabody, nucHCB2, under conditions of oxidative stress and PARP inhibition</p>

opencc-by-4.0Jul 2019View details →
zenodo36/100

ROS-Specific Huntingtin Interactions: PAR overlay assay with PBM3 peptide mutant

<p>Poly-ADP ribose overlay assay with huntingtin PBM peptides&nbsp;to test ability of a PBM3 alanine mutant to bind poly-ADP ribose.</p>

opencc-by-4.0Sep 2019View details →
zenodo36/100

ROS-Specific Huntingtin Interactions: Chromatin retention assay with huntingtin fragments containing PBM3

<p>Huntingtin amino acids 1790-1798 make up a potential PAR binding motif (PBM3). Two huntingtin fragments (1208-1810 and 1775-2413) were tested for chromatin retention upon oxidative stress.</p>

opencc-by-4.0Sep 2019View details →
zenodo36/100

ROS-Specific Huntingtin Interactions: Summary of PAR binding for different huntingtin protein preps

<p>PAR overlay assay with different preparations of huntingtin has yielded variable results. These results are summarized.</p>

opencc-by-4.0Sep 2019View details →
zenodo36/100

ROS-Specific Huntingtin Interactions: PAR overlay slot blotting optimization

<p>Optimization to find conditions allowing quantification of huntingtin PAR binding in the PAR overlay assay.</p>

opencc-by-4.0Nov 2019View details →
zenodo36/100

ROS-Specific Huntingtin Interactions: Competition of huntingtin PAR binding by PBM3 peptide

<p>Attempts to use the PBM3 peptide in a competition assay to measure the on-off rates of huntingtin PAR binding.</p>

opencc-by-4.0Nov 2019View details →
zenodo36/100

ROS-Specific Huntingtin Interactions: Testing PARG activity in HD patient fibroblasts

<p>Comparison&nbsp;nuclear PAR levels in wild type and HD (TruHD) fibroblasts in response to a PARG inhibitor concentration gradient (as a measure of PARG activity).</p>

opencc-by-4.0Dec 2019View details →
zenodo36/100

F1/10 Platooning with ETSI ITS-G5 communication using ROS 2

<p>This dataset is recorded from a platooning scenario using F1/10 vehicles on a scaled-down version of the Aldenhoven testing center. It uses a scaled-down version of the ETSI ITS-G5 standard for the communication via CAM messages. Furthermore, it uses a CACC controller for the control of the vehicles using the information from a motion-capture system and the communicated data of each vehicle. The dataset includes two configurations of the same scenario, with a target velocity of 0.8m/s and 3.0m/s, respectively.</p> <p>The experiments are based on the software of the <a href="https://github.com/HarunTeper/AuNa">AuNa</a> framework by <a href="https://arxiv.org/abs/2207.05544">Teper et al.</a>, while the experiments were conducted during the case studies described by&nbsp;<a href="https://ieeexplore.ieee.org/document/10464605">Krieger et al.</a> and <a href="https://ieeexplore.ieee.org/document/10553459">Priyanta et al.</a>. The dataset can be analyzed using the <a href="https://github.com/tudo-aqua/stars">STARS</a> framework.</p>

opencc-by-4.0Sep 2024View details →
zenodo36/100

Supproting Materials for "Cross-Linked Selenoctanoic Acid Nanoplatform Enables Bidirectional Regulation of Intra- and Extracellular ROS: A New Avenue for Enhanced Cancer Immunotherapy" - section A

<p><strong>Table of Content</strong></p> <h1>1.&nbsp;&nbsp;&nbsp;&nbsp; Synthesis and characterization</h1> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.1.&nbsp;&nbsp;&nbsp;&nbsp; SeLA</h2> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.1.0.&nbsp; &nbsp; &nbsp;Lab book pages</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.1.1.&nbsp;&nbsp;&nbsp;&nbsp; NMR</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.1.2.&nbsp;&nbsp;&nbsp;&nbsp; HR-MS</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.1.3.&nbsp;&nbsp;&nbsp;&nbsp; UV</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.1.4.&nbsp;&nbsp;&nbsp;&nbsp; IR</h3> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.2.&nbsp;&nbsp;&nbsp;&nbsp; cSeLAN</h2> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.2.0.&nbsp; &nbsp; &nbsp;Lab book pages</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.2.1.&nbsp;&nbsp;&nbsp;&nbsp; NMR</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.2.2.&nbsp;&nbsp;&nbsp;&nbsp; UV</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.2.3.&nbsp;&nbsp;&nbsp;&nbsp; IR</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.2.4.&nbsp;&nbsp;&nbsp;&nbsp; GPC</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.2.5.&nbsp;&nbsp;&nbsp;&nbsp; MALDI-TOF-MS</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.2.6.&nbsp;&nbsp;&nbsp;&nbsp; DLS</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.2.7.&nbsp;&nbsp;&nbsp;&nbsp; Critical melle cncentration</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.2.8.&nbsp;&nbsp;&nbsp;&nbsp; ICP-MS</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.2.9.&nbsp;&nbsp;&nbsp;&nbsp; TEM</h3> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.3.&nbsp;&nbsp;&nbsp;&nbsp; cLAN</h2> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.3.0.&nbsp; &nbsp; &nbsp;Lab book pages</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.3.1.&nbsp;&nbsp;&nbsp;&nbsp; NMR</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.3.2.&nbsp;&nbsp;&nbsp;&nbsp; UV</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.3.3.&nbsp;&nbsp;&nbsp;&nbsp; DLS</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.3.4.&nbsp;&nbsp;&nbsp;&nbsp; GPC</h3> <h1>2.&nbsp;&nbsp;&nbsp;&nbsp; <em>In vitro</em> intra- and extracellular ROS regulation</h1> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2.0.&nbsp; &nbsp; &nbsp;Lab book pages</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2.1.&nbsp; &nbsp; &nbsp;Raman scattering spectra</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2.2.&nbsp;&nbsp;&nbsp;&nbsp; HPLC</h2> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2.2.1.&nbsp;&nbsp;&nbsp;&nbsp; Standard peaking</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2.2.2.&nbsp;&nbsp;&nbsp;&nbsp; HPLC analysis</h3> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2.3.&nbsp;&nbsp;&nbsp;&nbsp; ICP-MS</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2.4.&nbsp;&nbsp;&nbsp;&nbsp; MTT</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2.5.&nbsp;&nbsp;&nbsp;&nbsp; Intracellular ROS generation</h2> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2.5.1.&nbsp; Fluorescence images</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2.5.2.&nbsp; Flow fluorescence quantification</h3> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2.6.&nbsp;&nbsp;&nbsp;&nbsp; Intracellular pro-oxidation mechanism</h2> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2.6.1.&nbsp; Quantification of intracellular ATP</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2.6.2.&nbsp; Quantification of intracellular NADH</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2.6.3.&nbsp; Quantification of intracellular <strong>&middot;</strong>OH</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2.6.4.&nbsp; Quantification of intracellular ROS</h3> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2.7.&nbsp;&nbsp;&nbsp;&nbsp; Quantification of extracellular ROS</h2> <h1>3.&nbsp;&nbsp;&nbsp;&nbsp; <em>In vitro</em> ICD-inducing ability</h1> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 3.0.&nbsp;&nbsp; Lab book pages</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 3.1.&nbsp;&nbsp;&nbsp;&nbsp; ATP release</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 3.2.&nbsp;&nbsp;&nbsp;&nbsp; HMGB1</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 3.3.&nbsp;&nbsp;&nbsp;&nbsp; CRT</h2> <h1>4.&nbsp;&nbsp;&nbsp;&nbsp; T cell proliferation and activation</h1> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 4.0.&nbsp;&nbsp; Lab book pages</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 4.1.&nbsp;&nbsp;&nbsp;&nbsp; Flow cytometry analysis of the T cell proliferation</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 4.2.&nbsp;&nbsp;&nbsp;&nbsp; Quantification of IFN-&gamma; secretions</h2> <h1>5.&nbsp;&nbsp;&nbsp;&nbsp; Biosafety evaluation of cSeLAN</h1> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 5.0.&nbsp; &nbsp; &nbsp; &nbsp;Lab book pages</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 5.1.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Hemolytic and hemagglutination assay</h2> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 5.1.1.&nbsp; Hemolytic assay</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 5.1.2.&nbsp; Hemagglutination assay</h3> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 5.2.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Acute toxicity test</h2> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 5.2.1.&nbsp; The amounts of dead mice</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 5.2.2.&nbsp; Body weight of mice</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 5.2.3.&nbsp; Hematological assay</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 5.2.4.&nbsp; Blood biochemistry</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 5.2.5.&nbsp; H&amp;E staining of main organs</h3> <h1>6.&nbsp;&nbsp;&nbsp;&nbsp; Pharmacokinetic evaluation of cSeLAN</h1> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;6.0.&nbsp;&nbsp; Lab book pages</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;6.1&nbsp;&nbsp;&nbsp; Pharmacokinetic evaluation of cSeLAN</h2> <h1>7.&nbsp;&nbsp;&nbsp;&nbsp; <em>In vivo</em> anti-tumor immune response</h1> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;7.0.&nbsp;&nbsp; Lab book pages</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;7.1.&nbsp;&nbsp; Chemiluminescence images</h2> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 7.1.1.&nbsp; Chemiluminescence images of isoluminol</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 7.1.2.&nbsp; Chemiluminescence images of luminol</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 7.1.3.&nbsp; Related quantifications upon various treatments</h3> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;7.2.&nbsp;&nbsp; Immunofluorescence images</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;7.3.&nbsp;&nbsp; T cell proliferation</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;7.4.&nbsp;&nbsp; DC proliferation</h2> <h1>8.&nbsp;&nbsp;&nbsp;&nbsp; <em>In vivo</em> anti-tumor efficacy</h1> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;8.0.&nbsp;&nbsp; Lab book pages</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;8.1.&nbsp;&nbsp; Tumor growth</h2> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 8.1.1.&nbsp; Tumor volume</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 8.1.2.&nbsp; Tumor weight</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 8.1.3.&nbsp; Tumor images</h3> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;8.2.&nbsp;&nbsp; Body weight</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;8.3.&nbsp;&nbsp; Lung tissues with metastatic nodules</h2> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 8.3.1.&nbsp; Lung tissues images</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 8.3.2. Number of pulmonary metastatic nodules</h3> <h3>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 8.3.3.&nbsp; H&amp;E</h3> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;8.4.&nbsp;&nbsp; H&amp;E of tumor and main organs</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;8.5.&nbsp;&nbsp; Cytokine secretions</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;8.6.&nbsp;&nbsp; Kaplan&minus;Meier survival curves</h2> <h1>9.&nbsp;&nbsp;&nbsp;&nbsp; <em>In vitro</em> NK cytotoxicity and activity</h1> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;9.0.&nbsp;&nbsp; Lab book pages</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;9.1.&nbsp;&nbsp; NK cytotoxicity</h2> <h2>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;9.2.&nbsp;&nbsp; NK activity</h2>

opencc-by-4.0Sep 2024View details →
zenodo36/100

ROS 2 Bags acquired from AgRob Modular-e during the IV SCORPION Integration (Aymavilles, Italy)

<p>ROS 2 Bags acquired with the AgRob Modular-e robot during the IV SCORPION Integration in Cave des Onze Communes vineyard (Aymavilles, Italy), between 13 and 15 June 2023.<br><br>Main topics available include:<br>- Robot odometry (/odom) [nav_msgs/msg/Odometry]<br>- Redshift UM7 IMU data (/eut_sensors/imu/data) [sensor_msgs/msg/Imu]<br>- RS-LIDAR 3D scans (/rslidar_points) [sensor_msgs/msg/PointCloud2]<br>- Livox MID-70 scans in proprietary format (/livox/lidar) [livox_ros_driver/msg/CustomMsg]<br>- U-Blox ZED-F9P base receiver GNSS coordinates (/base/fix) [sensor_msgs/msg/NavSatFix]<br>- U-Blox ZED-F9P heading data from base-rover moving baseline setup (/rover/navheading) [sensor_msgs/msg/Imu]<br><br>Datasets description:<br><br>2023-06-13T161127Z - Robot navigating across two crop rows, closing a loop, with RS-LIDAR, Livox MID-70 and IMU data available.<br>2023-06-13T170852Z - Same as previous, but with GNSS data from SCORPION receiver (no data from U-Blox)<br>2023-06-13T175518Z - Robot navigating across three crop rows, forming an 8. No IMU or odometry data available.<br>2023-06-14T174658Z - Robot navigating along five crop rows with Livox data, base+rover GNSS, IMU and wheel odometry.<br>2023-06-15T110725Z - Robot navigating along four crop rows (forming loops), with RS-LIDAR data, base+rover GNSS, IMU and wheel odometry. Dataset interrupted in the middle of last row when returning to base.<br>2023-06-15T110725Z - Robot navigating along three crop rows (forming an 8), with RS-LIDAR data, base+rover GNSS, IMU and wheel odometry.<br><br>The measured transformations (estimated) between robot and sensor frames are found below (format: [x y z yaw pitch roll]). Please note these are not recorded with the datasets and must be included as static transforms using the tf2_ros package.</p><p>"base_footprint" to "imu_link": ["-0.05", "0", "0.759", "0", "0", "0"]<br>"imu_link" to "rslidar": ["0", "0", "-0.05464", "3.14159", "0", "0"]<br>"imu_link" to "livox_frame": ["0.0698", "0", "-0.14464", "0", "0", "0"]<br>"imu_link" to "gps_base": ["-0.025", "0", "0.27396", "3.14159", "0.0", "0"]<br>"gps_base" to "gps_rover": ["0.7", "0", "0", "0", "0", "0"]</p>

opencc-by-4.0Jun 2023View details →
ClinicalTrials.gov36/100

Study to IDEntify Patients With Advanced/Metastatic Non Small Cell Lung Cancer (NSCLC) and ALK and ROS1 Translocation and to Establish Their Therapeutic Management (IDEALK&ROS)

ClinicalTrials.gov study NCT02679170. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
zenodo32/100

AAU synthetic ROS dataset for VIO

<p>Synthetic ROS data set for Visual-Inertial Odometry, providing IMU measurements (linear acceleration and angular velocities) as well as camera images with different resolutions (320x240, 640x480, and 1280x960) at rates of 500 Hz and 100 Hz, respectively. The camera images are obtained from a texture-rich outdoor scene created Unity.&nbsp; Two circles with a diameter of 10 m are performed within 72 seconds. Besides the noisy measurements, ground-truth poses are included in the ROS bag file. The intrinsic and extrinsic camera calibrations as well as the IMU noise characteristics are provided.</p> <p>Contained ROS topics:</p> <ul> <li>/mus/ground_truth_pose_imu : geometry_msgs/PoseStamped</li> <li>/mus/image : sensor_msgs/Image</li> <li>/mus/imu : sensor_msgs/Imu</li> <li>/tf : tf/tfMessage</li> </ul> <p>&nbsp;</p>

opencc-by-4.0May 2020View details →
dryad32/100

The Immp2l mutation causes ovarian aging through ROS-wnt/β-catenin-estrogen (cyp19a1) pathway: preventive effect of melatonin

<p>Mitochondria play important roles in ovarian follicle development. Mitochondrial dysfunction, including mitochondrial gene deficiency, impairs the ovarian development. Here, we explored the role and mechanism of mitochondrial inner membrane gene <i>Immp2l</i> in ovarian follicle growth and development. Our results revealed that the female Immp2l<sup>-/-</sup> mice were infertile, while the Immp2l<sup>+/- </sup>mice were normal. Body and ovarian weights were reduced in the female Immp2l<sup>-/- </sup>mice, ovarian follicle growth and development were stunted in the secondary follicle stage. Although a few ovarian follicles were ovulated, the oocytes were not fertilized due to mitochondrial dysfunction. Increased oxidative stress, decreased estrogen levels, and altered genes expression of Wnt/β-catenin and steroid hormone synthesis pathways were observed in 28-day-old Immp2l<sup>-/-</sup> mice. The Immp2l mutation accelerated ovarian aging process, as no ovarian follicles were detected in age of 5 months in Immp2l<sup>-/- </sup>mice. All the aforementioned changes in the Immp2l<sup>-/- </sup>mice were reversed by administration of antioxidant melatonin to the Immp2l<sup>-/-</sup> mice. Furthermore, our in vitro study using Immp2l knockdown granulosa cells confirmed that the Immp2l downregulation induced granulosa cell aging by enhancing ROS levels, suppressing <i>Wnt16</i>, increasing β-catenin and decreasing steroid hormone synthesis gene <i>cyp19a1</i> and estrogen levels, accompanied by an increase in the aging phenotype of granulosa cells. Melatonin treatment delayed granulosa cell aging progression. Taken together, Immp2l causes ovarian aging through the ROS-Wnt/β-catenin-estrogen (cyp19a1) pathway, which can be reversed by melatonin treatment.Mitochondria play important roles in ovarian follicle development. Mitochondrial dysfunction, including mitochondrial gene deficiency, impairs the ovarian development. Here, we explored the role and mechanism of mitochondrial inner membrane gene <i>Immp2l</i> in ovarian follicle growth and development. Our results revealed that the female Immp2l<sup>-/-</sup> mice were infertile, while the Immp2l<sup>+/- </sup>mice were normal. Body and ovarian weights were reduced in the female Immp2l<sup>-/- </sup>mice, ovarian follicle growth and development were stunted in the secondary follicle stage. Although a few ovarian follicles were ovulated, the oocytes were not fertilized due to mitochondrial dysfunction. Increased oxidative stress, decreased estrogen levels, and altered genes expression of Wnt/β-catenin and steroid hormone synthesis pathways were observed in 28-day-old Immp2l<sup>-/-</sup> mice. The Immp2l mutation accelerated ovarian aging process, as no ovarian follicles were detected in age of 5 months in Immp2l<sup>-/- </sup>mice. All the aforementioned changes in the Immp2l<sup>-/- </sup>mice were reversed by administration of antioxidant melatonin to the Immp2l<sup>-/-</sup> mice. Furthermore, our in vitro study using Immp2l knockdown granulosa cells confirmed that the Immp2l downregulation induced granulosa cell aging by enhancing ROS levels, suppressing <i>Wnt16</i>, increasing β-catenin and decreasing steroid hormone synthesis gene <i>cyp19a1</i> and estrogen levels, accompanied by an increase in the aging phenotype of granulosa cells. Melatonin treatment delayed granulosa cell aging progression. Taken together, Immp2l causes ovarian aging through the ROS-Wnt/β-catenin-estrogen (cyp19a1) pathway, which can be reversed by melatonin treatment.</p>

opencc-zeroDec 2020View details →
zenodo32/100

Replication package of the paper titled "Mining the ROS ecosystem for Green Architectural Tactics in Robotics and an Empirical Evaluation".

<p>This is the replication package of the paper titled &quot;Mining the ROS ecosystem for Green Architectural Tactics in Robotics and an Empirical Evaluation&quot;.</p> <p>The replication package is structured according to the research questions of the study (RQ1 and RQ2) and it is composed of the following elements:</p> <ul> <li><strong>Supplementary Material (RQ1).pdf</strong>: a 93-pages technical report providing the details about our mining activities and application of thematic analysis for identifying green architectural tactics for robotics software.</li> <li><strong>Supplementary Material (RQ2).pdf</strong>: a 75-pages technical report detailing the design, conduction, and results of the empirical assessment of the identified green tactics.</li> <li><strong>RQ1_data_software.zip</strong>: the raw data and mining source code related to all the activities we carried out for answering RQ1.</li> <li><strong>RQ2_data.zip</strong>:&nbsp;the raw data related to all the activities we carried out for answering RQ2.</li> <li><strong>RQ2_ros_implementation.zip</strong>: the source code of the ROS-based system we implemented for performing the experiment in RQ2.</li> </ul>

opencc-by-4.0Jan 2021View details →
zenodo32/100

ROS 2 Bag acquired from AgRob Modular-e during the V SCORPION Integration (Quinta do Seixo, Portugal)

<p>ROS 2 Bag acquired with the AgRob Modular-e robot during the V SCORPION Integration in Quinta do Seixo (Valença do Douro, Portugal), on October 26, 2023.<br><br>Dataset description:<br>rosbag2_2023_10_26-16_22_30 - Robot navigating across four crop rows in a steep slope vineyard, returning to the main road.<br><br>Main topics available include:<br>- Redshift UM7 IMU data (/eut_sensors/imu/data)<br>- RS-LIDAR 3D scans (/rslidar_points)<br>- U-Blox GNSS coordinates with RTK precision (/base/fix)<br>- U-Blox heading data from moving baseline setup (/rover/navheading)<br>&nbsp;</p>

opencc-by-4.0Oct 2023View details →
zenodo32/100

Parthenolide induces ROS-dependent cell death in human gastric cancer cells

<p>Excel 1 - The original data-Parthenolide induces ROS-dependent cell death in human gastric cancer cellanalysis.</p><p>Supplemental Table 1 - &nbsp;Post-hoc Dunn's test for the effect of PN on the cell viability of MGC-803 cell.</p><p>Supplemental Table 2 - Post-hoc Dunn's test for the effect of PN on the cell colonies of MGC-803 cells.</p><p>Supplemental Table 3 - Post-hoc Dunn's test for the effect of PN and&nbsp;catalase on ROS Generation of MGC-803 cells</p><p>Supplemental Table 4 -&nbsp;Post-hoc Dunn's test for the effect of PN and&nbsp;catalase on cell viability of MGC-803 cells</p><p>Excel 2 - gene_sample_count from MGC-803 cells treated with DMSO compared with counterparts treated with PN&nbsp;</p>

opencc-by-4.0Nov 2023View details →
zenodo32/100

Decorated ROS-generating CeO2 nanoparticles for cancer treatment

<p>NFFA proposal ID677</p>

opencc-by-4.0Apr 2024View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record