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858 results for “monitoring data”
Ecotoxicity data realted to the ELECTRA 826244 H2020 project Deliverable 1.2 entitled "Report on the tools for monitoring and assessing ecotoxicity"
<p>Ecotoxicity testing was carried out within the frame of the ELECTRA No. 826244 H2020 project. Groundwater, sediment, soil and wastewater samples from the potential ELECTRA model sites were tested, and a recommendation was made for the appropriate ecotoxicity test battery to be applied for each matrice. This dataset is supplementary to Deliverable 1.2 Report on the tools for monitoring and assessing ecotoxicity.</p>
A Dataset for Evaluating and Validating Blood Perfusion Monitoring During an Occlusion Protocol: Multi-spectral and Plethysmography data
<p>The dataset contains multispectral images and PPG data from 45 subjects who underwent an occlusion protocol to induce changes in blood perfusion in the dominant hand. All the partipiants signed an informed consent.</p> <p><strong>Blood perfusion</strong></p> <p>Blood perfusion refers to the passage of oxygen and other nutrients through the circulatory system. We look to provide data for the evaluation of non-invasive approaches based on multi-spectral images. PPG reference data from the thumb is provided for validation purposes.</p> <p><strong>Occlusion Protocol</strong></p> <p>The occlusion protocol for each participant lasts around 10 minutes.</p> <p>The participants were seated, and their superior limbs were extended on a table. An automatic blood pressure monitor measured their systolic and diastolic pressures. A blood cuff was placed in their dominant arm, and a PPG sensor MAX30102 (Maxim Integrated, CA, United States) was placed in their thumb finger. A multispectral camera was positioned above to record the hand palm throughout the protocol. The camera employed is a CMS-V1-C-EVR1M-USB3 (SILIOS Technologies SA., France), which records 9 multispectral channels in the VNIR region of the spectrum.</p> <p>.</p> <p>The protocol is divided into 5 stages, each one lasts 2 minutes.</p> <ol> <li><strong>Start:</strong> No pressure is applied</li> <li><strong>Vascular Occlusion:</strong> a fixed pressure of 60 mmHg is applied through the blood cuff</li> <li><strong>Rest:</strong> The pressure is liberated</li> <li><strong>Total Occlusion:</strong> A pressure equal to the initial systolic pressure plus 20 mmHg is constantly applied.</li> <li><strong>Hyperemia:</strong> The pressure is released.</li> </ol> <p><strong>Data available: </strong></p> <p>The multispectral datasets for each subject are contained in a <strong>P#.7z</strong> file. Single-channel images are included. The name of each file specifies the participant ID, the time (minutes_seconds_milliseconds) of the acquisition with respect to the start of the occlusion protocol, the multispectral dataset, and the corresponding multispectral channel.</p> <p>Example: the following file name specifies a file for participant number 21. The data was captured at 9 minutes and 59.5290 seconds after the start of the occlusion protocol. The image corresponds to the first channel (the count starts at 0).</p> <p>P21_09_59_5290_d02459_channel0.png</p> <p>Files containing masks for each dataset are available for the whole hand region <strong>(hand_masks.7z)</strong> and the middle finger <strong>(finger_masks.7z)</strong>. Finger masks for participants with a lot of movement are not available.</p> <p>The PPG data is stored in a simple csv file with txt extension for each participant. It contains the Red and Infrared channel data as well as the acquisition time of each sample. The PPG data for all the participants are contained in the compressed file <strong>PPG.7z</strong>.</p> <p>Reference multispectral images for calibration are also provided in the file <strong>Calibration.7z</strong>. This file contains multispectral images with the cap on (Dark_Reference) plus three folders with reference images taken during the same session as the participants. </p> <p>reference_set_A: = P1 to P10<br> reference_set_B: = P11 to P30<br> reference_set_C: = P31 to P45</p> <p>each folder contains multispectral images of different white reference materials which can be employed for different calibration methods: </p> <p>WhiteA = white tile <br> WhiteB = white reference bar <br> WhiteP = sheet of white paper<br> WhiteT = Teflon (<em>PTFE</em>) <em>sheets</em></p> <p><strong>The participant’s data is summarized in the next table.</strong></p> <table> <tbody> <tr> <td> <p><strong>ID </strong></p> </td> <td> <p><strong>Age </strong></p> </td> <td> <p><strong>Gender </strong></p> </td> <td> <p><strong>Skin type </strong></p> </td> <td> <p><strong>Systolic Pressure </strong></p> </td> <td> <p><strong># Multi-spectral Datasets</strong></p> </td> </tr> <tr> <td> <p>P1</p> </td> <td> <p>20</p> </td> <td> <p>M</p> </td> <td> <p>4</p> </td> <td> <p>109</p> </td> <td> <p>2,456</p> </td> </tr> <tr> <td> <p>P2</p> </td> <td> <p>20</p> </td> <td> <p>M</p> </td> <td> <p>3</p> </td> <td> <p>129</p> </td> <td> <p>2,458</p> </td> </tr> <tr> <td> <p>P3</p> </td> <td> <p>22</p> </td> <td> <p>M</p> </td> <td> <p>4</p> </td> <td> <p>117</p> </td> <td> <p>2,460</p> </td> </tr> <tr> <td> <p>P4</p> </td> <td> <p>19</p> </td> <td> <p>F</p> </td> <td> <p>3</p> </td> <td> <p>110</p> </td> <td> <p>2,454</p> </td> </tr> <tr> <td> <p>P5</p> </td> <td> <p>18</p> </td> <td> <p>F</p> </td> <td> <p>4</p> </td> <td> <p>106</p> </td> <td> <p>2,458</p> </td> </tr> <tr> <td> <p>P6</p> </td> <td> <p>18</p> </td> <td> <p>F</p> </td> <td> <p>4</p> </td> <td> <p>111</p> </td> <td> <p>2,471</p> </td> </tr> <tr> <td> <p>P7</p> </td> <td> <p>18</p> </td> <td> <p>F</p> </td> <td> <p>4</p> </td> <td> <p>91</p> </td> <td> <p>2,462</p> </td> </tr> <tr> <td> <p>P8</p> </td> <td> <p>18</p> </td> <td> <p>F</p> </td> <td> <p>4</p> </td> <td> <p>102</p> </td> <td> <p>2,474</p> </td> </tr> <tr> <td> <p>P9</p> </td> <td> <p>21</p> </td> <td> <p>M</p> </td> <td> <p>3</p> </td> <td> <p>113</p> </td> <td> <p>2,468</p> </td> </tr> <tr> <td> <p>P10</p> </td> <td> <p>19</p> </td> <td> <p>F</p> </td> <td> <p>3</p> </td> <td> <p>108</p> </td> <td> <p>2,461</p> </td> </tr> <tr> <td> <p>P11</p> </td> <td> <p>18</p> </td> <td> <p>M</p> </td> <td> <p>4</p> </td> <td> <p>137</p> </td> <td> <p>2,461</p> </td> </tr> <tr> <td> <p>P12</p> </td> <td> <p>18</p> </td> <td> <p>F</p> </td> <td> <p>3</p> </td> <td> <p>132</p> </td> <td> <p>2,457</p> </td> </tr> <tr> <td> <p>P13</p> </td> <td> <p>18</p> </td> <td> <p>M</p> </td> <td> <p>4</p> </td> <td> <p>119</p> </td> <td> <p>2,461</p> </td> </tr> <tr> <td> <p>P14</p> </td> <td> <p>18</p> </td> <td> <p>F</p> </td> <td> <p>4</p> </td> <td> <p>100</p> </td> <td> <p>2,460</p> </td> </tr> <tr> <td> <p>P15</p> </td> <td> <p>18</p> </td> <td> <p>F</p> </td> <td> <p>3</p> </td> <td> <p>104</p> </td> <td> <p>2,460</p> </td> </tr> <tr> <td> <p>P16</p> </td> <td> <p>18</p> </td> <td> <p>M</p> </td> <td> <p>3</p> </td> <td> <p>126</p> </td> <td> <p>2,462</p> </td> </tr> <tr> <td> <p>P17*</p> </td> <td> <p>18</p> </td> <td> <p>F</p> </td> <td> <p>3</p> </td> <td> <p>105</p> </td> <td> <p>2,469</p> </td> </tr> <tr> <td> <p>P18</p> </td> <td> <p>21</p> </td> <td> <p>F</p> </td> <td> <p>4</p> </td> <td> <p>122</p> </td> <td> <p>2,461</p> </td> </tr> <tr> <td> <p>P19</p> </td> <td> <p>21</p> </td> <td> <p>F</p> </td> <td> <p>3</p> </td> <td> <p>130</p> </td> <td> <p>2,462</p> </td> </tr> <tr> <td> <p>P20</p> </td> <td> <p>21</p> </td> <td> <p>F</p> </td> <td> <p>3</p> </td> <td> <p>106</p> </td> <td> <p>2,457</p> </td> </tr> <tr> <td> <p>P21</p> </td> <td> <p>23</p> </td> <td> <p>M</p> </td> <td> <p>3</p> </td> <td> <p>133</p> </td> <td> <p>2,459</p> </td> </tr> <tr> <td> <p>P22</p> </td> <td> <p>23</p> </td> <td> <p>M</p> </td> <td> <p>3</p> </td> <td> <p>134</p> </td> <td> <p>2,471</p> </td> </tr> <tr> <td> <p>P23</p> </td> <td> <p>21</p> </td> <td> <p>F</p> </td> <td> <p>3</p> </td> <td> <p>115</p> </td> <td> <p>2,472</p> </td> </tr> <tr> <td> <p>P24</p> </td> <td> <p>21</p> </td> <td> <p>M</p> </td> <td> <p>3</p> </td> <td> <p>111</p> </td> <td> <p>2,445</p> </td> </tr> <tr> <td> <p>P25</p> </td> <td> <p>21</p> </td> <td> <p>M</p> </td> <td> <p>3</p> </td> <td> <p>116</p> </td> <td> <p>2,460</p> </td> </tr> <tr> <td> <p>P26</p> </td> <td> <p>21</p> </td> <td> <p>M</p> </td> <td> <p>4</p> </td> <td> <p>107</p> </td> <td> <p>2,462</p> </td> </tr> <tr> <td> <p>P27</p> </td> <td> <p>21</p> </td> <td> <p>F</p> </td> <td> <p>4</p> </td> <td> <p>106</p> </td> <td> <p>2,460</p> </td> </tr> <tr> <td> <p>P28</p> </td> <td> <p>24</p> </td> <td> <p>F</p> </td> <td> <p>4</p> </td> <td> <p>106</p> </td> <td> <p>2,460</p> </td> </tr> <tr> <td> <p>P29</p> </td> <td> <p>22</p> </td> <td> <p>M</p> </td> <td> <p>4</p> </td> <td> <p>125</p> </td> <td> <p>2,460</p> </td> </tr> <tr> <td> <p>P30</p> </td> <td> <p>21</p> </td> <td> <p>M</p> </td> <td> <p>4</p> </td> <td> <p>125</p> </td> <td> <p>2,461</p> </td> </tr> <tr> <td> <p>P31</p> </td> <td> <p>21</p> </td> <td> <p>F</p> </td> <td> <p>3</p> </td> <td> <p>100</p> </td> <td> <p>2,472</p> </td> </tr> <tr> <td> <p>P32</p> </td> <td> <p>22</p> </td> <td> <p>M</p> </td> <td> <p>3</p> </td> <td> <p>120</p> </td> <td> <p>2,460</p> </td> </tr> <tr> <td> <p>P33</p> </td> <td> <p>21</p> </td> <td> <p>M</p> </td> <td> <p>4</p> </td> <td> <p>127</p> </td> <td> <p>2,461</p> </td> </tr> <tr> <td> <p>P34</p> </td> <td> <p>19</p> </td> <td> <p>F</p> </td> <td> <p>3</p> </td> <td> <p>100</p> </td> <td> <p>2,457</p> </td> </tr> <tr> <td> <p>P35</p> </td> <td> <p>19</p> </td> <td> <p>F</p> </td> <td> <p>3</p> </td> <td> <p>108</p> </td> <td> <p>2,460</p> </td> </tr> <tr> <td> <p>P36</p> </td> <td> <p>20</p> </td> <td> <p>F</p> </td> <td> <p>3</p> </td> <td> <p>136</p> </td> <td> <p>2,471</p> </td> </tr> <tr> <td> <p>P37</p> </td> <td> <p>19</p> </td> <td> <p>M</p> </td> <td> <p>4</p> </td> <td> <p>129</p> </td> <td> <p>2,457</p> </td> </tr> <tr> <td> <p>P38*</p> </td> <td> <p>19</p> </td> <td> <p>M</p> </td> <td> <p>3</p> </td> <td> <p>128</p> </td> <td> <p>2,463</p> </td> </tr> <tr> <td> <p>P39*</p> </td> <td> <p>18</p> </td> <td> <p>M</p> </td> <td> <p>3</p> </td> <td> <p>111</p> </td> <td> <p>2,479</p> </td> </tr> <tr> <td> <p>P40</p> </td> <td> <p>23</p> </td> <td> <p>M</p> </td> <td> <p>4</p> </td> <td> <p>110</p> </td> <td> <p>2,462</p> </td> </tr> <tr> <td> <p>P41</p> </td> <td> <p>21</p> </td> <td> <p>M</p> </td> <td> <p>3</p> </td> <td> <p>130</p> </td> <td> <p>2,465</p> </td> </tr> <tr> <td> <p>P42</p> </td> <td> <p>20</p> </td> <td> <p>F</p> </td> <td> <p>3</p> </td> <td> <p>126</p> </td> <td> <p>2,461</p> </td> </tr> <tr> <td> <p>P43</p> </td> <td> <p>22</p> </td> <td> <p>F</p> </td> <td> <p>3</p> </td> <td> <p>125</p> </td> <td> <p>2,459</p> </td> </tr> <tr> <td> <p>P44</p> </td> <td> <p>22</p> </td> <td> <p>M</p> </td> <td> <p>3</p> </td> <td> <p>138</p> </td> <td> <p>2,467</p> </td> </tr> <tr> <td> <p>P45</p> </td> <td> <p>22</p> </td> <td> <p>M</p> </td> <td> <p>4</p> </td> <td> <p>104</p> </td> <td> <p>2,461</p> </td> </tr> </tbody> </table> <p>Table 1.- Participant's ID and relevant information.Participants with an * presented a lot of movement during the recording.</p> <p> </p> <p> </p>
Water quality and discharge monitoring data in Bavarian Forest National Park, Germany
<p>This dataset was used for a study that investigates temporal evolution of nitrate concentration in stream and related hydrological processes after dieback of forest affected by bark beetle.</p> <p>Hydrochemical monitoring data consist of discharge (m³/s), concentrations of nitrogen, phosphorus, organic carbon and minerals (mg/L), water temperature (C°), pH, conductivity (µS/cm), etc.</p> <p>Please see original data sources for more information.</p> <p>Große Ohe and Markungsgraben stream data were provided by the Bavarian Environment Agency (LFU)<br> <a href="https://www.lfu.bayern.de/wasser/gewaesserqualitaet_fluesse/messnetze/index.htm">https://www.lfu.bayern.de/wasser/gewaesserqualitaet_fluesse/messnetze/index.htm</a></p> <p>Forellenbach stream data were provided by the Federal Environment Agency (UBA).<br> The Forellenbach catchment is part of the Integrated Monitoring Programme under the UNECE Convention on Long-Range Transboundary Air Pollution (1979). <a href="https://www.umweltbundesamt.de/themen/luft/messenbeobachtenueberwachen/medienuebergreifendes-monitoring-in-der#icp-integrated-monitoring">https://www.umweltbundesamt.de/themen/luft/messenbeobachtenueberwachen/medienuebergreifendes-monitoring-in-der#icp-integrated-monitoring</a></p>
Vacuum Preloading Performance Assesment Using Monitoring Data Interpretation and Finite Element Modelling
Open the record for dataset details and reuse information.
Data from: "IL-6 and cfDNA monitoring throughout COVID-19 hospitalization are accurate markers of its outcomes".
<p>Data supporting the manuscript title: <strong>IL-6 and cfDNA monitoring throughout COVID-19 hospitalization are accurate markers of its outcomes</strong></p>
Winter field hydrological monitoring data for five artificially drained croplands in Eastern Canada.
Open the record for dataset details and reuse information.
Enriching occupancy-based monitoring supporting data
<p>Data used to conduct analyses for 'Enriching occupancy-based acoustic monitoring programs with the ecological significance of raptor vocalizations.'</p>
Multimodal monitoring data
<p>Multimodal monitoring data of TBI patients (anonymized)</p> <p>Data format: Matlab data files (mat).</p> <p>Raw data downsampled to sampling frequency 10 Hz.</p> <p>mat files include variables:</p> <p>abp (arterial blood pressure in mmHg, fs=10 Hz)</p> <p>icp (intracrania blood pressure in mmHg, fs=10 Hz) </p> <p> </p>
ACE Electron Proton Alpha Monitor (EPAM) Ephemeris Data, Daily Averages
Daily-averaged ephemeris data for the ACE spacecraft, Earth, and Jupiter. Also included are the orientation of the ACE spin-axis, and a rotation matrix for transforming from HEE cartisian coordinates to RTN coordinates.
ACE Solar Wind Electron, Proton, and Alpha Monitor (SWEPAM), Key Parameter, K1, Preliminary Browse Data
ACE Solar Wind Electron Proton Alpha Monitor (SWEPAM), Key Parameter, K1, Browse Data is designed for monitoring large scale particle and field behavior and for selecting interesting time periods. The data is automatically generated from the spacecraft data stream using simple algorithms provided by the instrument teams. It is not routinely checked for accuracy and is subject to revision. Use this data at your own risk, and consult with the appropriate instrument teams about citing it. SWEPAM browse data is not validated by the experimenters and should not be used except for preliminary examination prior to detailed Studies. See: https://izw1.caltech.edu/ACE/.
ACE Electron Proton Alpha Monitor (EPAM) Ephemeris Data, 11.5 s Averages
12sec-averaged ephemeris data for the ACE spacecraft, Earth, and Jupiter. Also included are the orientation of the ACE spin-axis, and a rotation matrix for transforming from HEE cartisian coordinates to RTN coordinates.
ACE Solar Wind Electron Proton Alpha Monitor (SWEPAM) Suprathermal Electron Pitch Angle 128-Second Level 3 Data
Suprathermal Electron Pitch Angle data from ACE/SWEPAM. Level 3 data, 128-second averages. These pitch angle distributions are calculated automatically by a computer code, and have not been validated by a person. It is therefore likely that they include some artifacts and erroneous values. These data files contain suprathermal electron pitch angle distribution functions (s^3 cm^-6) at 272 eV from the ACE/SWEPAM-E instrument. The energy channel is ~12% wide, centered at 272 eV. Pitch angle bins are 9 degrees wide, and run from 0 to 180 degrees (so 0-9, 9-18, 18-27 degrees, etc.). The break between the core and suprathermal electrons is generally around 70 eV at 1 AU, but varies around this value, at times exceeding 100 eV. Electrons at 272 eV are generally well within the suprathermal range, and the distribution at this energy typically shows very little contribution from the core population. The measured count rates at 272 eV energy provide excellent statistical significance. In addition, because of the high count rates, very few artifacts (for example due to sunlight contamination) are seen in the data at this energy. The data are in the solar wind frame, and have been corrected for the spacecraft potential. The spacecraft potential determination requires measurement of the lower energy electrons, and so the potentials calcuated at these times have been interpolated to the times of the suprathermal electron measurements. Transformation to the solar wind frame requires interpolation of the measurements (each at a different energy in the solar wind frame) to the desired energy (272 eV). Also note that the detector gains on the SWEPAM-E instrument change over time, including both slowly decreasing gains and abrupt increases when the instrument voltages are increased. The use of these data for long-term studies of the distribution function amplitudes is therefore strongly discouraged.
ACE Electron Proton Alpha Monitor (EPAM) CA60 PHA Ion SEP Event Matrix Data, 17 min Averages
Pulse Height Analyzer matrix data for a single Solar Energetic Particle event from the ACE:EPAM instrument. Using the PHA data, one can quickly and very accurately determine composition.
ACE Electron Proton Alpha Monitor (EPAM) Ephemeris Data, Hourly Averages
Hourly-averaged ephemeris data for the ACE spacecraft, Earth, and Jupiter. Also included are the orientation of the ACE spin-axis, and a rotation matrix for transforming from HEE cartisian coordinates to RTN coordinates.
ACE Electron Proton Alpha Monitor (EPAM) Ephemeris Data, 5 min Averages
5min-averaged ephemeris data for the ACE spacecraft, Earth, and Jupiter. Also included are the orientation of the ACE spin-axis, and a rotation matrix for transforming from HEE cartisian coordinates to RTN coordinates.
Laser welding multispectral coaxial monitoring - raw data
<p>Raw data (.dat) containing thermopgraphy data of some single laser welding trials as they were observed by coaxial integrated NIR and S/MWIR cameras and different IR filters.</p>
Supporting Data for "Seismic Monitoring of Rockfalls Using Fiber-Optic Distributed Acoustic Sensing"
<p>This file contains data and MATLAB scripts to generate the figures presented in the manuscript "Seismic Monitoring of Rockfalls Using Fiber-Optic Distributed Acoustic Sensing".</p>
Waveform data for 'Seismic Footprints Monitoring and Trajectory Tracking of Moving Aircrafts'
<p>Data of waveform and flights for 'Seismic Footprints Monitoring and Trajectory Tracking of Moving Aircrafts'</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.