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641 results for “data validation”
Rodent Research-1 (RR1) NASA Validation Flight: Mouse soleus muscle transcriptomic and epigenomic data
NASA's Rodent Research (RR) project is playing a critical role in advancing biomedical research on the physiological effects of space environments. Due to the limited resources for conducting biological experiments aboard the International Space Station (ISS), it is imperative to use crew time efficiently while maximizing high-quality science return. NASA's GeneLab project has as its primary objectives to 1) further increase the value of these experiments using a multi-omics, systems biology-based approach, and 2) disseminate these data without restrictions to the scientific community. The current investigation assessed viability of RNA, DNA, and protein extracted from archived RR-1 tissue samples for epigenomic, transcriptomic, and proteomic assays. During the first RR spaceflight experiment, a variety of tissue types were harvested from subjects, snap-frozen or RNAlater-preserved, and then stored at least a year at -80C after return to Earth. They were then prioritized for this investigation based on likelihood of significant scientific value for spaceflight research. All tissues were made available to GeneLab through the bio-specimen sharing program managed by the Ames Life Science Data Archive and included mouse adrenal glands, quadriceps, gastrocnemius, tibialis anterior, extensor digitorum longus, soleus, eye, and kidney. We report here protocols for and results of these tissue extractions, and thus, the feasibility and value of these kinds of omics analyses. In addition to providing additional opportunities for investigation of spaceflight effects on the mouse transcriptome and proteome in new kinds of tissues, our results may also be of value to program managers for the prioritization of ISS crew time for rodent research activities.
Rodent Research-1 (RR1) NASA Validation Flight: Mouse tibialis anterior muscle transcriptomic, proteomic, and epigenomic data
NASA's Rodent Research (RR) project is playing a critical role in advancing biomedical research on the physiological effects of space environments. Due to the limited resources for conducting biological experiments aboard the International Space Station (ISS), it is imperative to use crew time efficiently while maximizing high-quality science return. NASA's GeneLab project has as its primary objectives to 1) further increase the value of these experiments using a multi-omics, systems biology-based approach, and 2) disseminate these data without restrictions to the scientific community. The current investigation assessed viability of RNA, DNA, and protein extracted from archived RR-1 tissue samples for epigenomic, transcriptomic, and proteomic assays. During the first RR spaceflight experiment, a variety of tissue types were harvested from subjects, snap-frozen or RNAlater-preserved, and then stored at least a year at -80C after return to Earth. They were then prioritized for this investigation based on likelihood of significant scientific value for spaceflight research. All tissues were made available to GeneLab through the bio-specimen sharing program managed by the Ames Life Science Data Archive and included mouse adrenal glands, quadriceps, gastrocnemius, tibialis anterior, extensor digitorum longus, soleus, eye, and kidney. We report here protocols for and results of these tissue extractions, and thus, the feasibility and value of these kinds of omics analyses. In addition to providing additional opportunities for investigation of spaceflight effects on the mouse transcriptome and proteome in new kinds of tissues, our results may also be of value to program managers for the prioritization of ISS crew time for rodent research activities.
SMAP/In Situ Core Validation Site Land Surface Parameters Match-Up Data V001
SMAP radiometer and radar soil moisture data products are matched with in situ-based soil moisture estimates from core validation sites to produce this data set. These data provide performance assessments of various SMAP soil moisture products.
Rodent Research-1 (RR1) NASA Validation Flight: Mouse quadriceps muscle transcriptomic, proteomic, and epigenomic data
NASA's Rodent Research (RR) project is playing a critical role in advancing biomedical research on the physiological effects of space environments. Due to the limited resources for conducting biological experiments aboard the International Space Station (ISS), it is imperative to use crew time efficiently while maximizing high-quality science return. NASA's GeneLab project has as its primary objectives to 1) further increase the value of these experiments using a multi-omics, systems biology-based approach, and 2) disseminate these data without restrictions to the scientific community. The current investigation assessed viability of RNA, DNA, and protein extracted from archived RR-1 tissue samples for epigenomic, transcriptomic, and proteomic assays. During the first RR spaceflight experiment, a variety of tissue types were harvested from subjects, snap-frozen or RNAlater-preserved, and then stored at least a year at -80C after return to Earth. They were then prioritized for this investigation based on likelihood of significant scientific value for spaceflight research. All tissues were made available to GeneLab through the bio-specimen sharing program managed by the Ames Life Science Data Archive and included mouse adrenal glands, quadriceps, gastrocnemius, tibialis anterior, extensor digitorum longus, soleus, eye, and kidney. We report here protocols for and results of these tissue extractions, and thus, the feasibility and value of these kinds of omics analyses. In addition to providing additional opportunities for investigation of spaceflight effects on the mouse transcriptome and proteome in new kinds of tissues, our results may also be of value to program managers for the prioritization of ISS crew time for rodent research activities.
GPM GROUND VALIDATION NOAA S-BAND PROFILER RAW DATA SPC FORMAT MC3E V1
The GPM Ground Validation NOAA S-Band Profiler Raw Data SPC Format MC3E dataset is the S-band Profiler Raw dataset was saved in Vaisala SPC format. The numeric values in both formats are exactly the same. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The S-band Profiler Raw dataset in the proprietary Vaisala SPC format was gathered during the Midlatitude Continental Convective Clouds Experiment (MC3E) in Oklahoma April 8, 2011 to June 7, 2011 and consists of uncalibrated Doppler velocity spectra data in units of relative power return. The S-band 2.8 GHz profiler points vertically and measures the backscattered power from raindrops and ice particles as precipitating cloud systems pass overhead. The profiler processes radar pulses during a 7-second dwell before calculating and saving uncalibrated Doppler velocity spectra at each range gate that were separated by 60-meters vertically. Data collected during each hour are saved in two files. All precipitation mode profiles are saved in one hourly data file and all attenuated mode profiles are saved in another hourly data file. Calibrated data can be obtained from the S-band Original Dwell and Minute datasets. Specialized read software may be purchased from Vaisala.
Rodent Research-1 (RR1) National Lab Validation Flight: Mouse liver transcriptomic proteomic and epigenomic data
The Rodent Reasearch-1 National Lab (RR-1 CASIS) experiment was performed to study the effect of microgravity on muscle wasting. RNA DNA and protein were purified from nine RR-1 CASIS (the Center for the Advancement of Science in Space) liver samples. Groups included: Flight (FLT) dissected on-orbit (21 or 22 days after launch); age-matched Ground Controls (GC); and Basal Controls (BC euthanized at time of launch) with N=3/group. RNA-Seq whole genome BS-Seq (bisulfite sequencing) and proteomic expression profiling were performed.
Design and validation of microarray for chickpea (Cicer arietinum) based on the analysis of transcriptome data [gene expression]
GEO Series GSE78986. Cicer arietinum. 2 samples. Type: Expression profiling by array.
Design and validation of microarray for chickpea (Cicer arietinum) based on the analysis of transcriptome data [CGH]
GEO Series GSE78985. Cicer arietinum. 2 samples. Type: Genome variation profiling by array.
Design and validation of 8X60k gene-expression microarray for chickpea (Cicer arietinum) based on the transcriptome data
GEO Series GSE76972. Cicer arietinum. 8 samples. Type: Expression profiling by array.
Expression data from 22 prostate cancer samples - 6 recurrent and 16 recurrence-free from the validation dataset
GEO Series GSE18917. Homo sapiens. 22 samples. Type: Expression profiling by array; Non-coding RNA profiling by array.
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>
Data set from Dellafiore F, Arrigoni C, Ghizzardi G, Baroni I, Conte G, Turrini F, Castiello G, Magon A, Pittella F, Caruso R. Development and validation of the pressure ulcer management self-efficacy scale for nurses. J Clin Nurs. 2019 Sep;28(17-18):3177-3188. doi: 10.1111/jocn.14875. Epub 2019 Apr 21. PMID: 30938908.
<p>Data set from Dellafiore F, Arrigoni C, Ghizzardi G, Baroni I, Conte G, Turrini F, Castiello G, Magon A, Pittella F, Caruso R. Development and validation of the pressure ulcer management self-efficacy scale for nurses. J Clin Nurs. 2019 Sep;28(17-18):3177-3188. doi: 10.1111/jocn.14875. Epub 2019 Apr 21. PMID: 30938908</p> <p> </p> <p>This is the abstract:</p> <p><strong>Background: </strong>Pressure ulcers (PUs) represent a current issue for healthcare delivery. Nurse self-efficacy in managing PUs could predict patients' outcome, being a proxy assessment of their overall competency to managing PUs. However, a valid and reliable scale of this task-specific self-efficacy has not yet been developed.</p> <p><strong>Objectives: </strong>To develop a valid and reliable scale to assess nurses' self-efficacy in managing PUs, that is, the pressure ulcer management self-efficacy scale for nurses (PUM-SES).</p> <p><strong>Methods: </strong>This study had a multi-method and multi-phase design, where study reporting was supported by the STROBE checklist (File S1). Phase 1 referred to the scale development, consisting in the items' generation, mainly based on themes emerged from the literature and discussed within a panel of experts. Phase 2 focused on a three-step validation process: the first step aimed to assess face and content validity of the pool of items previously generated (initial version of the PUM-SES); the second aimed to assess psychometrics properties through exploratory factorial analysis; the third step assessed construct validity through confirmative factorial analysis, while concurrent validity was evaluated describing the relationships between PUM-SES and an established general self-efficacy measurement. Reliability was assessed through the evaluation of stability and internal consistency.</p> <p><strong>Results: </strong>PUM-SES showed evidence of face and content validity, adequate construct and concurrent validity, internal consistency and stability. Specifically, PUM-SES had four domains, labelled as follows: assessment, planning, supervision and decision-making. These domains were predicted by the same second-order factor, labelled as PU management self-efficacy.</p> <p><strong>Conclusion: </strong>PUM-SES is a 10-item scale to measure nurses' self-efficacy in PU management. A standardised 0-100 scoring is suggested for computing each domain and the overall scale. PUM-SES might be used in clinical and educational research.</p> <p><strong>Relevance to clinical practice: </strong>Optimising nurses' self-efficacy in PU management might enhance clinical assessment, determining better outcomes in patients with PUs.</p> <p> </p>
Data set from Caruso R, Grugnetti AM, Pastore U, Dellafiore F, Pittella F, Ausili D, Stievano A, Arrigoni C. Modified Research Utilization Questionnaire: Development and Validation Study among Italian Nurses. Asian Nurs Res (Korean Soc Nurs Sci). 2019 Feb;13(1):61-68. doi: 10.1016/j.anr.2019.01.006. Epub 2019 Jan 18. PMID: 30660835.
<p>Data set from Caruso R, Grugnetti AM, Pastore U, Dellafiore F, Pittella F, Ausili D, Stievano A, Arrigoni C. Modified Research Utilization Questionnaire: Development and Validation Study among Italian Nurses. Asian Nurs Res (Korean Soc Nurs Sci). 2019 Feb;13(1):61-68. doi: 10.1016/j.anr.2019.01.006. Epub 2019 Jan 18. PMID: 30660835.</p> <p> </p> <p>This is the abstract:</p> <p><strong>Purpose: </strong>The purpose of this study was to develop the modified research utilization questionnaire (M-RUQ) and to establish its content and face validity, construct validity, and reliability.</p> <p><strong>Methods: </strong>This study has a multiphase (three phases), methodological, and cross-sectional design. First, research utilization questionnaire (RUQ) was translated into Italian, which is the target language to develop the M-RUQ. Second, the RUQ psychometric proprieties were assessed using exploratory factorial analysis to identify ambiguous or problematic items (e.g., cross-loadings) (cross-sectional sampling A). The RUQ modification (i.e., item deleting, wording modification, and scoring procedure) represented the development of the M-RUQ among Italian nurses. The third phase was aimed to confirm the construct validity of the M-RUQ and to test its stability and internal consistency (cross-sectional sampling B).</p> <p><strong>Results: </strong>This study's findings show that M-RUQ has a three-dimensional structure and a total of 22 items. The M-RUQ shows evidence of validity and reliability. Precisely, the factorial structure coming from an exploratory factorial analysis on the first sample (n = 504) was confirmed by a final model of confirmatory factorial analysis (CFA) on a second sample (n = 362). The final CFA model showed adequate goodness of fit, where all the factor loadings showed values higher than .40. Cronbach's α was satisfactory for each domain and for the overall scale. Furthermore, the M-RUQ showed good stability described by the test-retest.</p> <p><strong>Conclusion: </strong>The M-RUQ should be used to assess research utilization among nurses for educational or research purposes to address the practice. Further research about its validity and reliability is suggested.</p> <p> </p>
Valid_2.2_Survey_data
<p>197 responses </p> <p>Instructions </p> <p>Read each one carefully and for each statement, you are given a 5-point scale of importance from unimportant to important. <br> <br> Select the answer that indicates whether the statement is a purpose you would attribute to design and technology (please use the full range). </p>
Data for Development of a lifetime model for large format nickel-manganese-cobalt oxide-based lithium-ion cell validated using a real-life profile
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Data for "Twin- model framework development for a comprehensive battery lifetime prediction validated with a realistic driving profile"
Open the record for dataset details and reuse information.
Data for "Electro-aging model development of nickel-manganese-cobalt lithium-ion technology validated with light and heavy-duty real-life profiles"
Open the record for dataset details and reuse information.
Validation Data for the KaTid-Child-Japan
<h3><strong>Dataset Title</strong></h3> <p>Validation Data for the KaTid-Child-Japan</p> <h3><strong>Description</strong></h3> <p>The dataset comprises data collected for the purpose of validating the Japanese version of the KaTid-Child assessment tool. The dataset comprises information utilized to assess the test-retest reliability, inter-rater reliability, and other psychometric properties of the tool. The data were subjected to statistical analysis using a range of techniques, including Spearman's rank correlation, the kappa statistic, and intraclass correlation coefficients (ICC). Furthermore, bootstrap resampling was employed to calculate confidence intervals.</p> <h3><strong>Key Features</strong></h3> <p>The objective of this study is to validate the Japanese version of KaTid-Child for use in pediatric occupational therapy. The data set includes both raw and processed data used for reliability analyses. The variables included in the data set are those that are relevant to test-retest and inter-rater reliability.</p> <h3><strong>File Details</strong></h3> <ul> <li><strong>Filename</strong>: Validation_Data_for_the_KaTid-Child-Japan.xlsx</li> <li><strong>Format</strong>: Microsoft Excel spreadsheet (.xlsx)</li> <li><strong>Size</strong>: 58.78 KB</li> <li><strong>Structure</strong>: The data have been organized into separate sheets for the following purposes: raw data, descriptive statistics, and reliability analysis results.</li> </ul> <h3><strong>Usage Notes</strong></h3> <p>The data set is intended for use in research. In the event of reuse, the original study must be appropriately cited and the authors acknowledged. Prior to utilizing the dataset, it is requisite that the authors be contacted to obtain permission. For a detailed account of the methodology and context, please refer to the associated publication.</p> <h3><strong>Contact Information</strong></h3> <p>Should you require further information or clarification regarding this dataset, please do not hesitate to contact us at tasaka-shota@spu.ac.jp.</p>
Data sets of the article Validation of the Health Protective Sexual Communication Scale (HPSC) in British and Spanish young adults.
<p>Data sets of the article <em>Validation of the Health Protective Sexual Communication Scale (HPSC) in British and Spanish young adults. </em></p> <p>SPSS data sets used to perform Exploratory Factor Anlaysis (EFA) and Confirmatory Factor Analysis (CFA) in Spain and the United Kingdom.</p> <p>SPSS AMOS data sets to perform CFA in Spain and the United Kingdom.</p>
Data set : Validation of the French version of mental toughness measurement among athletes
<p>Data set:</p> <p> </p> <p><strong>Validation of the French version of mental toughness measurement among athletes </strong></p> <p><strong>Abstract</strong></p> <p>The objective of this study was to evaluate the factorial validity of the translated French version of the questionnaire measuring mental toughness "MTQ48" according to the 4/6Cs (four and six components) theoretical constructs of <a href="#_ENREF_5">Clough et al. (2002)</a>. The 48 items assess the following components: challenge; commitment; emotional and life control; ability and interpersonal confidence; and overall mental toughness (MT) score. The sample consisted of 302 athletes (153 males and 149 females), aged 14-27 years (M 20.25; SD 3.8). The confirmatory factor analysis (CFA) performed by principal component analysis (PCA) with the PROMAX method did not confirm the four and six component theoretical structure of the MTQ48, but a good statistical fit could be obtained with a reduced version of 37 items and three components MTQ37_3C : Challenge-Commitment CC, Confidence CF and Control CT. Cronbach's alpha suggests that each of the three factors has adequate internal consistency (alpha CC = .991; alpha CF = .989; alpha CT = .813). The Kaiser-Meyer-Olkin index for measuring sampling quality was (.991) and Bartlett's sphericity index was (df = 666; p < .001), indicating that CFA is appropriate. MES structural equation modelling confirmed that the 3 factors represent a good model fit (χ² = 678 564, df = 628, CFI = .997, SRMR = .019, RMSEA = .017). In conclusion, our results allowed us to propose a valid and reliable French measure of three components of mental toughness among athletes.</p> <p><strong>Keywords: </strong>mental toughness, French version, validation, confirmatory factor analysis, structural equation modeling.</p> <p> </p> <p><strong>Validation de la version française de la mesure de la force mentale chez les sportifs </strong></p> <p><strong>Résumé</strong></p> <p>L'objectif de cette étude était d'évaluer la validité factorielle de la version française traduite du questionnaire qui mesure la force mentale "MTQ48" selon les constructions théoriques 4/6Cs (quatre et six composantes) du modèle de <a href="#_ENREF_5">Clough et al. (2002)</a>. Les 48 items évaluent les composantes suivantes : le défi ; l'engagement ; le contrôle des émotions et de la vie ; la confiance en capacités et interpersonnelle, ainsi que le score global de la force mentale (FM). L'échantillon était composé de 302 sportifs (153 hommes et 149 femmes), âgés de 14 à 27 ans (M 20.25 ; ET 3.8). L'analyse factorielle confirmatoire (AFC) effectuée par l'analyse des composantes principales (ACP) avec la méthode PROMAX n'a pas confirmé la structure théorique à quatre et six composantes du MTQ48, mais un bon ajustement statistique a pu être obtenu avec une version réduite de 37 items et de trois composantes MTQ37_3C : le Défi- Engagement DE, la Confiance CF et le Contrôle CT. Le coefficient alpha de Cronbach suggère que chacun des trois composantes possède une cohérence interne adéquate (alpha DE = .991 ; alpha CF = .989 ; alpha CT = .813). L'indice de Kaiser-Meyer-Olkin pour mesurer la qualité de l'échantillonnage était de (.991) et l'indice de sphéricité de Bartlett était (df = 666 ; p <.001), indiquant que l'AFC est approprié. La modélisation des équations structurelles MES a confirmé que les 3 composantes représentent un bon ajustement du modèle (χ² = 678 564, df = 628, CFI = .997, SRMR = .019, RMSEA = .017). En conclusion, nos résultats ont permis de proposer une mesure française valide et fiable de trois composantes de la force mentale chez les sportifs.</p> <p><strong>Mots clefs </strong>: force mentale, version française, validation, analyse factorielle confirmatoire modélisation des équations structurelles..</p>
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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.