cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.24400/802406/hpn8-n3hg
title: CLU1 STAFF-SC Magnetic Field Spectra in GSE (burst - up to 225Hz)

description: This dataset contains calibrated Complex Spectra of the magnetic field measured by STAFF-SC from 0.0 Hz to 224.90 Hz with a resolution of 0.109866 Hz x 9.10 s, in HBR mode on the Cluster C1 spacecraft.
DOI: 10.6084/m9.figshare.19354658
title: Evaluating Scientific Research Barriers by Gender and Other Characteristics from the Perspective of Ophthalmologists in Turkey: A Multicenter Survey Study

description: The order of the questions specified with the q code in the dataset is available in figure 2 in the article.
DOI: 10.6084/m9.figshare.19354658.v1
title: Evaluating Scientific Research Barriers by Gender and Other Characteristics from the Perspective of Ophthalmologists in Turkey: A Multicenter Survey Study

description: The order of the questions specified with the q code in the dataset is available in figure 2 in the article.
DOI: 10.6084/m9.figshare.19299551
title: all_deconvolutions_all_TCGA.txt

description: Deconvolution of TCGA datasets performed by the GEMDeCan pipeline
DOI: 10.6084/m9.figshare.19354724.v1
title: Data.xlsx

description: We conducted a randomized trial in a population from the resident patients diagnosed with diabetes mellitus (DM) in Southern Medical University (The First People’s Hospital of Shunde) between February, 2018 and January, 2019. In total, 270 patients were included. Our outcome was diabetes mellitus with heart failure (DM-HF) disease.
DOI: 10.6084/m9.figshare.19354724
title: Data.xlsx

description: We conducted a randomized trial in a population from the resident patients diagnosed with diabetes mellitus (DM) in Southern Medical University (The First People’s Hospital of Shunde) between February, 2018 and January, 2019. In total, 270 patients were included. Our outcome was diabetes mellitus with heart failure (DM-HF) disease.
DOI: 10.6084/m9.figshare.19354724.v3
title: Data.xlsx

description: We conducted a randomized trial in a population from the resident patients diagnosed with diabetes mellitus (DM) in Southern Medical University (The First People’s Hospital of Shunde) between February, 2018 and January, 2019. In total, 270 patients were included. Our outcome was diabetes mellitus with heart failure (DM-HF) disease.
DOI: 10.6084/m9.figshare.19354724.v2
title: Data.xlsx

description: We conducted a randomized trial in a population from the resident patients diagnosed with diabetes mellitus (DM) in Southern Medical University (The First People’s Hospital of Shunde) between February, 2018 and January, 2019. In total, 270 patients were included. Our outcome was diabetes mellitus with heart failure (DM-HF) disease.
DOI: 10.24400/802406/3z8p-azym
title: CLU2 STAFF-SA Spectral Matrix (8Hz - 4KHz)

description: This data set contains the cross spectral matrices formed from 3 components of the magnetic field and 2 components of the electric field determined with 4s time resolution at 27 logarithmically distributed frequencies between 8 Hz and 4 kHz.
DOI: 10.24400/802406/g9tt-5bwp
title: CLU2 STAFF-SA Power Spectral Density (8Hz - 4KHz)

description: This data set contains the Power Spectral Density of the magnetic and electric field components in the frequency range 8-4000 Hz along the ISR2 coordinate axis (1 s time resolution).
DOI: 10.24400/802406/t31b-sx8n
title: CLU2 STAFF-SA Polarization and Propagation Parameters (8Hz - 4KHz)

description: This data set contains the polarization and propagation parameters in the frequency range 8 Hz - 4 KHz.
DOI: 10.24400/802406/1pdn-yns0
title: CLU2 STAFF Caveats - Time Interval with no Sun Reference Pulse

description: This dataset contains caveats for the SM and PSD datasets from the STAFF-SA instrument on Cluster 2. This caveats dataset provides the users time interval when no Sun pulse (TSRP) was recorded in the S/C housekeeping data. Note that it can be in eclipse period but not especially.
DOI: 10.24400/802406/427q-n1b4
title: CLU2 STAFF-SC Calibrated Magnetic Field Waveform (ISR2)

description: This dataset contains measurements of the magnetic field Calibrated WaveForm from the STAFF-SC instrument in NBR mode (filtered from 0.1 Hz to 10 Hz and sampled at 25 Hz) and in HBR mode (filtered from 0.1 Hz to 180 Hz and sampled at 450 Hz) and DC magnetic field components in the spin plane BDCx, BDCy, on the Cluster C2 spacecraft. This product is given in the ISR2 frame. Data calibration is performed using a moving window of 1024 points in NBR mode and 4096 points in HBR mode. These values were chosen as the best compromise for routine production.
DOI: 10.24400/802406/4k6s-v5cp
title: CLU2 STAFF-SC Calibrated Magnetic Field Waveform (GSE)

description: This dataset contains measurements of the magnetic field Calibrated WaveForm from the STAFF-SC instrument in NBR mode (filtered from 0.6 Hz to 10Hz and sampled at 25 Hz) and in HBR mode (filtered from 0.6 Hz to 180Hz and sampled at 450 Hz) on the Cluster C2 spacecraft. This product is given in the GSE frame. Data calibration is performed using a moving window of 1024 points in NBR mode and 4096 points in HBR mode. These values were chosen as the best compromise for routine production.
DOI: 10.24400/802406/yjeh-124m
title: CLU2 STAFF-SC Magnetic Field Spectra in GSE (up to 12.5Hz)

description: This dataset contains calibrated Complex Spectra of the magnetic field measured by STAFF-SC from 0.00Hz to 12.40 Hz with a resolution of 0.097659 Hz x 10.24 s, in NBR mode on the Cluster C2 spacecraft.
DOI: 10.24400/802406/c9pg-rqxc
title: CLU2 STAFF-SC Magnetic Field Spectra in GSE (burst - up to 225Hz)

description: This dataset contains calibrated Complex Spectra of the magnetic field measured by STAFF-SC from 0.0 Hz to 224.90 Hz with a resolution of 0.109866 Hz x 9.10 s, in HBR mode on the Cluster C2 spacecraft.
DOI: 10.24400/802406/a3at-6qxq
title: CLU3 STAFF-SA Spectral Matrix (8Hz - 4KHz)

description: This data set contains the cross spectral matrices formed from 3 components of the magnetic field and 2 components of the electric field determined with 4s time resolution at 27 logarithmically distributed frequencies between 8 Hz and 4 kHz.
DOI: 10.24400/802406/ms7d-4w4f
title: CLU3 STAFF-SA Power Spectral Density (8Hz - 4KHz)

description: This data set contains the Power Spectral Density of the magnetic and electric field components in the frequency range 8-4000 Hz along the ISR2 coordinate axis (1 s time resolution).
DOI: 10.24400/802406/j07n-etqj
title: CLU3 STAFF-SA Polarization and Propagation Parameters (8Hz - 4KHz)

description: This data set contains the polarization and propagation parameters in the frequency range 8 Hz - 4 KHz.
DOI: 10.24400/802406/zk25-5zc5
title: CLU3 STAFF Caveats - Time Interval with no Sun Reference Pulse

description: This dataset contains caveats for the SM and PSD datasets from the STAFF-SA instrument on Cluster 3. This caveats dataset provides the users time interval when no Sun pulse (TSRP) was recorded in the S/C housekeeping data. Note that it can be in eclipse period but not especially.
DOI: 10.24400/802406/ryfx-0pek
title: CLU3 STAFF-SC Calibrated Magnetic Field Waveform (ISR2)

description: This dataset contains measurements of the magnetic field Calibrated WaveForm from the STAFF-SC instrument in NBR mode (filtered from 0.1 Hz to 10 Hz and sampled at 25 Hz) and in HBR mode (filtered from 0.1 Hz to 180 Hz and sampled at 450 Hz) and DC magnetic field components in the spin plane BDCx, BDCy, on the Cluster C3 spacecraft. This product is given in the ISR2 frame. Data calibration is performed using a moving window of 1024 points in NBR mode and 4096 points in HBR mode. These values were chosen as the best compromise for routine production.
DOI: 10.24400/802406/fdcd-v8m1
title: CLU3 STAFF-SC Calibrated Magnetic Field Waveform (GSE)

description: This dataset contains measurements of the magnetic field Calibrated WaveForm from the STAFF-SC instrument in NBR mode (filtered from 0.6 Hz to 10Hz and sampled at 25 Hz) and in HBR mode (filtered from 0.6 Hz to 180Hz and sampled at 450 Hz) on the Cluster C3 spacecraft. This product is given in the GSE frame. Data calibration is performed using a moving window of 1024 points in NBR mode and 4096 points in HBR mode. These values were chosen as the best compromise for routine production.
DOI: 10.24400/802406/qbaw-0nj4
title: CLU3 STAFF-SC Magnetic Field Spectra in GSE (up to 12.5Hz)

description: This dataset contains calibrated Complex Spectra of the magnetic field measured by STAFF-SC from 0.00Hz to 12.40 Hz with a resolution of 0.097659 Hz x 10.24 s, in NBR mode on the Cluster C3 spacecraft.
DOI: 10.24400/802406/w30e-ka8r
title: CLU3 STAFF-SC Magnetic Field Spectra in GSE (burst - up to 225Hz)

description: This dataset contains calibrated Complex Spectra of the magnetic field measured by STAFF-SC from 0.0 Hz to 224.90 Hz with a resolution of 0.109866 Hz x 9.10 s, in HBR mode on the Cluster C3 spacecraft.
DOI: 10.6084/m9.figshare.19196966.v1
title: Supplementary Data accompanying: "Steering clear of the confusion effect: aerial predators target fixed points in dense prey aggregations"

description: This archive contains all of the custom-written MATLAB scripts, functions, and workspace files supplied as Supplementary Data accompanying the paper:<br>"Steering clear of the confusion effect: aerial predators target fixed points in dense prey aggregations" by Caroline H. Brighton, Laura N. Kloepper, Lucy Larkman, Lillias Zusi, Kathryn McGowan, Graham K. Taylor<br>as described in the README.txt. The remaining files are contained within the zipped folder Brighton_et_al.zip, together with the set of checkerboard images used for single camera calibration, and the results of all of the guidance simulations contained in the spreadsheet simulation_data.xlsx.
DOI: 10.24400/802406/nq7d-07rc
title: CLU4 STAFF-SA Spectral Matrix (8Hz - 4KHz)

description: This data set contains the cross spectral matrices formed from 3 components of the magnetic field and 2 components of the electric field determined with 4s time resolution at 27 logarithmically distributed frequencies between 8 Hz and 4 kHz.
DOI: 10.24400/802406/ny9e-9pt4
title: CLU4 STAFF-SA Power Spectral Density (8Hz - 4KHz)

description: This data set contains the Power Spectral Density of the magnetic and electric field components in the frequency range 8-4000 Hz along the ISR2 coordinate axis (1 s time resolution).
DOI: 10.24400/802406/bt39-cbga
title: CLU4 STAFF-SA Polarization and Propagation Parameters (8Hz - 4KHz)

description: This data set contains the polarization and propagation parameters in the frequency range 8 Hz - 4 KHz.
DOI: 10.24400/802406/jb65-ysbz
title: CLU4 STAFF Caveats - Time Interval with no Sun Reference Pulse

description: This dataset contains caveats for the SM and PSD datasets from the STAFF-SA instrument on Cluster 4. This caveats dataset provides the users time interval when no Sun pulse (TSRP) was recorded in the S/C housekeeping data. Note that it can be in eclipse period but not especially.
DOI: 10.24400/802406/e9ct-qewk
title: CLU4 STAFF-SC Calibrated Magnetic Field Waveform (ISR2)

description: This dataset contains measurements of the magnetic field Calibrated WaveForm from the STAFF-SC instrument in NBR mode (filtered from 0.1 Hz to 10 Hz and sampled at 25 Hz) and in HBR mode (filtered from 0.1 Hz to 180 Hz and sampled at 450 Hz) and DC magnetic field components in the spin plane BDCx, BDCy, on the Cluster C4 spacecraft. This product is given in the ISR2 frame. Data calibration is performed using a moving window of 1024 points in NBR mode and 4096 points in HBR mode. These values were chosen as the best compromise for routine production.
DOI: 10.24400/802406/h6zn-txn0
title: CLU4 STAFF-SC Calibrated Magnetic Field Waveform (GSE)

description: This dataset contains measurements of the magnetic field Calibrated WaveForm from the STAFF-SC instrument in NBR mode (filtered from 0.6 Hz to 10Hz and sampled at 25 Hz) and in HBR mode (filtered from 0.6 Hz to 180Hz and sampled at 450 Hz) on the Cluster C4 spacecraft. This product is given in the GSE frame. Data calibration is performed using a moving window of 1024 points in NBR mode and 4096 points in HBR mode. These values were chosen as the best compromise for routine production.
DOI: 10.24400/802406/7npf-j4h5
title: CLU4 STAFF-SC Magnetic Field Spectra in GSE (up to 12.5Hz)

description: This dataset contains calibrated Complex Spectra of the magnetic field measured by STAFF-SC from 0.00Hz to 12.40 Hz with a resolution of 0.097659 Hz x 10.24 s, in NBR mode on the Cluster C4 spacecraft.
DOI: 10.24400/802406/wq3n-hs2a
title: CLU4 STAFF-SC Magnetic Field Spectra in GSE (burst - up to 225Hz)

description: This dataset contains calibrated Complex Spectra of the magnetic field measured by STAFF-SC from 0.0 Hz to 224.90 Hz with a resolution of 0.109866 Hz x 9.10 s, in HBR mode on the Cluster C4 spacecraft.
DOI: 10.5281/zenodo.6352774
title: A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex

description: This dataset contains all (&gt;1000) cell pairs as the Blue Brain Projects EModelRunner packages as well as analysis code and analysed data used for the figures of our preprint: <em><strong>"A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex"</strong></em>. More documentation will follow in the upcoming days. <strong>Updates:</strong><br> v1.1 (31/12/2021): updated READMEs within cell_packages, added 2 extra authors for their contribution in EModelRunner.<br> v1.2 (31/12/2021): same as v1.1 but w/o MacOS junk<br> v1.3 (11/01/2022): added analysis notebooks<br> v2.0 (11/01/2022): same as v1.3 but w/o MacOS junk and proper version number<br> v2.1 (14/03/2022): fetching data from websites when possible instead of providing the downloaded csv files.
description: This study was supported by funding to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne, from the Swiss government's ETH Board of the Swiss Federal Institutes of Technology. E.B.M. received additional support from the CHU Sainte-Justine Research Center (CHUSJRC), the Institute for Data Valorization (IVADO), the Canada CIFAR AI Chairs Program, the Quebec Institute for Artificial Intelligence (Mila) and Google. R.B.P. and J.DF. received support from the Spanish "Ministerio de Ciencia e Innovación" (grant PGC2018-094307-B-I00).
DOI: 10.5281/zenodo.5654788
title: A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex

description: This dataset contains all (&gt;1000) cell pairs as the Blue Brain Projects EModelRunner packages as well as analysis code and analysed data used for the figures of our preprint: <em><strong>"A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex"</strong></em>. More documentation will follow in the upcoming days. <strong>Updates:</strong><br> v1.1 (31/12/2021): updated READMEs within cell_packages, added 2 extra authors for their contribution in EModelRunner.<br> v1.2 (31/12/2021): same as v1.1 but w/o MacOS junk<br> v1.3 (11/01/2022): added analysis notebooks<br> v2.0 (11/01/2022): same as v1.3 but w/o MacOS junk and proper version number<br> v2.1 (14/03/2022): fetching data from websites when possible instead of providing the downloaded csv files.
description: This study was supported by funding to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne, from the Swiss government's ETH Board of the Swiss Federal Institutes of Technology. E.B.M. received additional support from the CHU Sainte-Justine Research Center (CHUSJRC), the Institute for Data Valorization (IVADO), the Canada CIFAR AI Chairs Program, the Quebec Institute for Artificial Intelligence (Mila) and Google. R.B.P. and J.DF. received support from the Spanish "Ministerio de Ciencia e Innovación" (grant PGC2018-094307-B-I00).
DOI: 10.5281/zenodo.6352717
title: Nimble Output for MCMC Estimation of Source Apportionment; Accompaniment for Journal Article

description: Paper <em>A dependent Bayesian Dirichlet Process model for source apportionment of particle number size distribution</em> contributed to the <em>Environmetrics</em> Special Issue on <em>Environmental Data Science</em>. In this paper, a fairly extensive Bayesian model is run using the <em>Nimble</em> probabilistic programming language. To allow for user reproducibility, the output of this model (full, not summary), is provided here.
DOI: 10.5281/zenodo.6352716
title: Nimble Output for MCMC Estimation of Source Apportionment; Accompaniment for Journal Article

description: Paper <em>A dependent Bayesian Dirichlet Process model for source apportionment of particle number size distribution</em> contributed to the <em>Environmetrics</em> Special Issue on <em>Environmental Data Science</em>. In this paper, a fairly extensive Bayesian model is run using the <em>Nimble</em> probabilistic programming language. To allow for user reproducibility, the output of this model (full, not summary), is provided here.
DOI: 10.6084/m9.figshare.19354781
title: Internet-based cognitive behavioral therapy for tinnitus in the United States (ICBT US Study): Long-term (1-year) outcomes

description: This data set was generated as a part of four clinical trials aimed at evaluating the efficacy of the Internet-based cognitive behavioural therapy for tinnitus in the US population. This is a combined data set from two pertest-post single group trials and two randomized controlled trials and contain data from individuals with tinnitus (n=449). The data of all the participants with tinnitus who completed the pre-intervention screening (i.e., baseline) measure including those who participated in the ICBT trials is included. However, the data of post-intervention (immediately after intervention, 2-months post-intervention, and 1-year post-intervention) are included from those who completed the post-intervention measure.<br> Individuals with tinnitus provided data for demographic questionnaire as well as several outcome measures. The primary outcome was a change in tinnitus distress (Tinnitus Functional Index; TFI). Secondary outcome measures included measures of anxiety (Generalized Anxiety Disorder; GAD-7), depression (Patient Health Questionnaire; PHQ-9), insomnia (Insomnia Severity Index; ISI), quality of life (EQ-5D-5L), tinnitus and hearing-related difficulties (Tinnitus and Hearing Survey; THS), tinnitus cognitions (Tinnitus Cognitions Questionnaire; TCQ). The weekly measures included measures of tinnitus severity (Tinnitus Handicap Inventory-Screening; THI-S) and newly developed tinnitus qualities (Tinnitus Qualities Questionnaire; TQQ). The primary and secondary outcome data were collected at 4-time points (i.e., T0 = pre-intervention baseline; T1 = post-intervention; T2 = 2-months follow up, T3 = 1-year post-intervention). In addition, weekly measures were collected at 8-time points (8 weeks) during the intervention (i.e., between T0 and T1).<br> This work was partly funded by the National Institute on Deafness and Communication Disorders (NIDCD) of the National Institute of Health (NIH) under the award number R21DC017214.<br>Additional details about the data:<b>WHO created the data:</b> Prof. Vinaya Manchaiah at the University of Colorado School of Medicine. <b>WHAT the data files contain:</b> This data set contains pre-intervention, post-intervention (immediately after, 2-months after intervention, and 1-year after intervention) and weekly-monitoring data of the ICBT study. <b>WHEN the data was generated:</b> November 2020 to August 2022.<b> </b><b>WHERE the data were generated:</b> This study was conducted over the Internet by recruiting participants from all over the United States. However, the database was installed at Lamar University server when the data was generated. <b>WHY the data were generated:</b> This data was generated as a part of clinical trials. <b>HOW the data were generated:</b> This data was generated by means of administering the questionnaires online before, during and after the ICBT.
DOI: 10.5281/zenodo.6352924
title: Dataset from Benhamou et al.

description: This upload contains the dataset generated in the study Benhamou et al., and the R script used for the data visualization and analysis.
DOI: 10.48370/ofd/1v01i8/f6bshm
title: m-3157.tif

description: :unav
DOI: 10.48370/ofd/1v01i8/ze9dv7
title: 3157.S3Dm

description: :unav
DOI: 10.48370/ofd/1v01i8/hh0bz5
title: 3157_2.S3Dm

description: :unav
DOI: 10.48370/ofd/1v01i8
title: Czyreń rdzawy (Fuscoporia ferruginosa (Schrad ex J.F. Gmelin) Murill [syn. Phellinus ferrugineofuscus (P. Karst) Boourdot]), 3157

description: Grzyby makromycetes
DOI: 10.6084/m9.figshare.19354814
title: Supplementary Material for: Four-Week Mentalizing Imagery Therapy for Family Dementia Caregivers: A Randomized Controlled Trial with Neural Circuit Changes

description: <b><i>Introduction:</i></b> Family caregivers of patients with dementia suffer a high burden of depression and reduced positive emotions. Mentalizing imagery therapy (MIT) provides mindfulness and guided imagery skills training to improve balanced mentalizing and emotion regulation. <b><i>Objective:</i></b> Our aims were to test the hypotheses that MIT for family caregivers would reduce depression symptoms and improve positive psychological traits more than a support group (SG), and would increase dorsolateral prefrontal cortex (DLPFC) connectivity and reduce subgenual anterior cingulate cortex (sgACC) connectivity. <b><i>Methods:</i></b> Forty-six caregivers participated in a randomized controlled trial comparing a 4-week MIT group (<i>n</i> = 24) versus an SG (<i>n</i> = 22). Resting state neuroimaging was obtained at baseline and post-group in 28 caregivers, and questionnaires completed by all participants. The primary outcome was change in depression; secondary measures included anxiety, mindfulness, self-compassion, and well-being. Brain networks with participation of DLPFC and sgACC were identified. Connectivity strengths of DLPFC and sgACC with respective networks were determined with dual regression. DLPFC connectivity was correlated with mindfulness and depression outcomes. <b><i>Results:</i></b> MIT significantly outperformed SG in improving depression, anxiety, mindfulness, self-compassion, and well-being, with moderate to large effect sizes. Relative to SG, participants in MIT showed significant increases in DLPFC connectivity – exactly replicating pilot study results – but no change in sgACC. DLPFC connectivity change correlated positively with mindfulness and negatively with depression change. <b><i>Conclusions:</i></b> In this trial, MIT was superior to SG for reducing depression and anxiety symptoms and improving positive psychological traits. Neuroimaging results suggested that strengthening DLPFC connectivity with an emotion regulation network might be mechanistically related to MIT effects.