cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.18390740
title: Microseismic Imaging with Geometric-mean Reverse Time Migration Using Vertical and Horizontal Borehole Optical Fibers

description: We provide three example waveforms in binary format (.rsf@). They're bandpass-filtered, FK filtered and processed data. All data are bandpass to 15-38 Hz. We provided the well log (C) data in .las and .mat formats. A Matlab script for plotting is also provided. The elliptical VTI velocity model is also provided in the excel file. You can read the data using the open-source package Madagascar (https://www.reproducibility.org/wiki/Main_Page) or Matlab. A Matlab script to read and display the waveform data is included. An example display figure is also included. You can find the geometry information from the .rsf file or the Matlab script file. DAS waveform data for all 41 events used in the paper can be found in DAS_raw_fk_pro.zip. Synthetics for focal mechanism analysis can be found in Focal_mech.zip. Let me know if you need more information: Zhendong Zhang (zdzhang@mit.edu).
DOI: 10.6084/m9.figshare.18390740.v5
title: Microseismic Imaging with Geometric-mean Reverse Time Migration Using Vertical and Horizontal Borehole Optical Fibers

description: We provide three example waveforms in binary format (.rsf@). They're bandpass-filtered, FK filtered and processed data. All data are bandpass to 15-38 Hz. We provided the well log (C) data in .las and .mat formats. A Matlab script for plotting is also provided. The elliptical VTI velocity model is also provided in the excel file. You can read the data using the open-source package Madagascar (https://www.reproducibility.org/wiki/Main_Page) or Matlab. A Matlab script to read and display the waveform data is included. An example display figure is also included. You can find the geometry information from the .rsf file or the Matlab script file. DAS waveform data for all 41 events used in the paper can be found in DAS_raw_fk_pro.zip. Synthetics for focal mechanism analysis can be found in Focal_mech.zip. Let me know if you need more information: Zhendong Zhang (zdzhang@mit.edu).
DOI: 10.6084/m9.figshare.21200539
title: Prolonged Antibody-Mediated CD4+ T-Cell Depletion Does Not Cause Disease Progression in Nonprogressively SIVagm-infected African Green Monkeys

description: Dataset containing all data regarding CD4-depleted AGMs. In the zip folder, there is a file per figure included in the manuscript.
DOI: 10.6084/m9.figshare.21200539.v1
title: Prolonged Antibody-Mediated CD4+ T-Cell Depletion Does Not Cause Disease Progression in Nonprogressively SIVagm-infected African Green Monkeys

description: Dataset containing all data regarding CD4-depleted AGMs. In the zip folder, there is a file per figure included in the manuscript.
DOI: 10.25493/dgad-1ry
title: Probabilistic cytoarchitectonic map of the subthalamic nucleus (STN, Nucleus subthalamicus, basal ganglia, diencephalon) (v5.0)

description: This dataset contains cytoarchitectonic probability maps of the subthalamic nucleus (STN, Nucleus subthalamicus, basal ganglia, diencephalon, from here on called STN) in the single subject template of the MNI (“Colin 27”) and the MNI ICBM 152 reference space, as part of the Julich-Brain atlas. The area was identified using cytoarchitectonic analysis on cell-body-stained histological sections in both hemispheres of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The maps show the probability of each voxel belonging to the STN in the reference spaces. Data is provided in the NifTi format. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create probabilistic brain maps. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
DOI: 10.5281/zenodo.7109214
title: falco_rufigularis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7109213
title: falco_rufigularis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7018062
title: FOAMS: Original Audio Files

description: The original audio files used in the Free Open-Access Misophonia Stimuli (FOAMS) project to curate a freely available database of sound stimuli intended for misophonia research.
description: This work was funded by a soQuiet Student Research Grant awarded to Heather Hansen and Danielle Benesch in 2022.
DOI: 10.5281/zenodo.7018063
title: FOAMS: Original Audio Files

description: The original audio files used in the Free Open-Access Misophonia Stimuli (FOAMS) project to curate a freely available database of sound stimuli intended for misophonia research. The code used to process these files to create the final stimuli can be found here: https://github.com/miso-sound/miso-sound-data
description: This work was funded by a soQuiet Student Research Grant awarded to Heather Hansen and Danielle Benesch in 2022.
DOI: 10.5281/zenodo.7106450
title: FOAMS: Original Audio Files

description: The original audio files used in the Free Open-Access Misophonia Stimuli (FOAMS) project to curate a freely available database of sound stimuli intended for misophonia research.
description: This work was funded by a soQuiet Student Research Grant awarded to Heather Hansen and Danielle Benesch in 2022.
DOI: 10.34740/kaggle/dsv/4242561
title: OntoUML/UFO Catalog
DOI: 10.6084/m9.figshare.14604087.v6
title: hypothyroidism during pregnancy and SIBO

description: 妊娠期甲状腺功能低下和SIBO
DOI: 10.34740/kaggle/dsv/4242577
title: BBC News
DOI: 10.5281/zenodo.7033349
title: Numerical Simulations on Unconventional Surface Charging within Deep Cavities in the Solar Wind Plasma.

description: Numerical simulation data presented in Nakazono and Miyake (2022): Unconventional Surface Charging within Deep Cavities in the Solar Wind Plasma. The format of the dataset is described in the PDF document (2022JA_supporting_information.pdf).
description: The present study was supported in part by the Japan Society for the Promotion of Science: JSPS (Grant No. 20K04041), the innovative High-Performance Computing Infrastructure: HPCI (Project No. HP210159), and the Joint Usage/Research Center for Interdisciplinary Large-scale Information Infrastructures: JHPCN (Project No. JH210047) in Japan. The computations in the present study were performed using the KDK system at the Research Institute for Sustainable Humanosphere (RISH), Kyoto University, the supercomputer system at the Information Initiative Center, Hokkaido University, and the ITO system at the Research Institute for Information Technology, Kyushu University, Japan.
DOI: 10.18112/openneuro.ds003020.v1.0.4
title: An fMRI dataset during a passive natural language listening task
DOI: 10.15121/1888759
title: Hawaii Play Fairway: Preliminary Core Box Photos, Lanai Island, Hawaii

description: Photos of core samples from Lanai Island. During the third phase of the Hawaii Play Fairway project, further exploration involved drilling a groundwater well in Lanai's Palawai Basin and performing more geophysical surveys. The project deepened an existing water well on Lanai. Drilling occurred 24/7 the entire month of June 2019 over which time Lanai Well 10 was deepened from 427 m to 1057 m, with continuous core collected. The roughly linear temperature gradient was an average of 42 degC/km, and a maximum bottom hole temperature, 66 degC. This gradient is more than twice the background for Hawaii and within a range of gradients measured in this depth range for some exploration wells within KERZ. The Hawaii Play Fairway project seeks to explore the geologic structures that exist in the caldera region of Hawaiian volcanoes; how those structures influence groundwater storage and flow; and how the magmatic heat from Hawaiian shield volcanoes cools over time. The Hawaii Groundwater and Geothermal Resources Center (Hawaii Institute of Geophysics and Planetology, University of Hawaii at Manoa) executed the Hawaii Play Fairway project. For more information, go to HGGRC's website that is linked in the resources.
DOI: 10.6084/m9.figshare.21200566.v1
title: Suppl.clinical.xlsx

description: clinical
DOI: 10.6084/m9.figshare.21200581
title: DEGs

description: DEGs
DOI: 10.6084/m9.figshare.21200581.v2
title: DEGs

description: DEGs
DOI: 10.6084/m9.figshare.21200581.v1
title: DEGs

description: DEGs
DOI: 10.6084/m9.figshare.21200566
title: Original data

description: clinical
DOI: 10.6084/m9.figshare.21200566.v3
title: Original data

description: clinical
DOI: 10.6084/m9.figshare.21200566.v2
title: Suppl.clinical.xlsx

description: clinical
DOI: 10.34740/kaggle/dsv/4242756
title: Russian Invasion of Ukraine
DOI: 10.6084/m9.figshare.21200647
title: Additional file 1 of Increased risk of preterm delivery with high cortisol during pregnancy is modified by fetal sex: a cohort study

description: Additional file 1.
DOI: 10.6084/m9.figshare.21200647.v1
title: Additional file 1 of Increased risk of preterm delivery with high cortisol during pregnancy is modified by fetal sex: a cohort study

description: Additional file 1.
DOI: 10.6084/m9.figshare.21200668
title: Additional file 2 of The effects of splenectomy in murine models of ischemic stroke: a systematic review and meta-analysis

description: Additional file 2: Table S1. Data extracted for qualitative synthesis from 14 selected studies on splenectomy as preclinical intervention in murine models of ischemic stroke.
DOI: 10.6084/m9.figshare.21200668.v1
title: Additional file 2 of The effects of splenectomy in murine models of ischemic stroke: a systematic review and meta-analysis

description: Additional file 2: Table S1. Data extracted for qualitative synthesis from 14 selected studies on splenectomy as preclinical intervention in murine models of ischemic stroke.
DOI: 10.6084/m9.figshare.21200671
title: Additional file 3 of The effects of splenectomy in murine models of ischemic stroke: a systematic review and meta-analysis

description: Additional file 3: Table S2. Data extracted for quantitative synthesis (meta-analysis) from 13 selected studies on splenectomy as preclinical intervention in murine models of ischemic stroke.
DOI: 10.6084/m9.figshare.21200671.v1
title: Additional file 3 of The effects of splenectomy in murine models of ischemic stroke: a systematic review and meta-analysis

description: Additional file 3: Table S2. Data extracted for quantitative synthesis (meta-analysis) from 13 selected studies on splenectomy as preclinical intervention in murine models of ischemic stroke.
DOI: 10.6084/m9.figshare.21200674
title: Additional file 4 of The effects of splenectomy in murine models of ischemic stroke: a systematic review and meta-analysis

description: Additional file 4: Table S3. Risk of bias evaluation results from the 14 selected studies on splenectomy as a preclinical intervention in murine models of ischemic stroke.
DOI: 10.6084/m9.figshare.21200674.v1
title: Additional file 4 of The effects of splenectomy in murine models of ischemic stroke: a systematic review and meta-analysis

description: Additional file 4: Table S3. Risk of bias evaluation results from the 14 selected studies on splenectomy as a preclinical intervention in murine models of ischemic stroke.
DOI: 10.6084/m9.figshare.21200710
title: Additional file 2 of Large-scale analysis of protein crotonylation reveals its diverse functions in Pinellia ternata

description: Additional file 2: Supplementary Table S1. Crotonylated sites of proteins in the leaves of P. ternata.
DOI: 10.6084/m9.figshare.21200710.v1
title: Additional file 2 of Large-scale analysis of protein crotonylation reveals its diverse functions in Pinellia ternata

description: Additional file 2: Supplementary Table S1. Crotonylated sites of proteins in the leaves of P. ternata.
DOI: 10.6084/m9.figshare.21200716
title: Additional file 3 of Large-scale analysis of protein crotonylation reveals its diverse functions in Pinellia ternata

description: Additional file 3: Supplementary Table S2. Functional classification of crotonylated proteins in the leaves of P. ternata.
DOI: 10.6084/m9.figshare.21200716.v1
title: Additional file 3 of Large-scale analysis of protein crotonylation reveals its diverse functions in Pinellia ternata

description: Additional file 3: Supplementary Table S2. Functional classification of crotonylated proteins in the leaves of P. ternata.
DOI: 10.6084/m9.figshare.21200719
title: Additional file 4 of Large-scale analysis of protein crotonylation reveals its diverse functions in Pinellia ternata

description: Additional file 4: Supplementary Table S3. GO enrichment analysis of crotonylated proteins in the leaves of P. ternata.
DOI: 10.6084/m9.figshare.21200719.v1
title: Additional file 4 of Large-scale analysis of protein crotonylation reveals its diverse functions in Pinellia ternata

description: Additional file 4: Supplementary Table S3. GO enrichment analysis of crotonylated proteins in the leaves of P. ternata.
DOI: 10.6084/m9.figshare.21200722
title: Additional file 5 of Large-scale analysis of protein crotonylation reveals its diverse functions in Pinellia ternata

description: Additional file 5: Supplementary Table S4. KEGG pathway analysis of crotonylated proteins in the leaves of P. ternata.
DOI: 10.6084/m9.figshare.21200722.v1
title: Additional file 5 of Large-scale analysis of protein crotonylation reveals its diverse functions in Pinellia ternata

description: Additional file 5: Supplementary Table S4. KEGG pathway analysis of crotonylated proteins in the leaves of P. ternata.
DOI: 10.6084/m9.figshare.21200725
title: Additional file 6 of Large-scale analysis of protein crotonylation reveals its diverse functions in Pinellia ternata

description: Additional file 6: Supplementary Table S5. Protein domain enrichment analysis of crotonylated proteins in the leaves of P. ternata.
DOI: 10.6084/m9.figshare.21200725.v1
title: Additional file 6 of Large-scale analysis of protein crotonylation reveals its diverse functions in Pinellia ternata

description: Additional file 6: Supplementary Table S5. Protein domain enrichment analysis of crotonylated proteins in the leaves of P. ternata.
DOI: 10.6084/m9.figshare.21200728
title: Additional file 7 of Large-scale analysis of protein crotonylation reveals its diverse functions in Pinellia ternata

description: Additional file 7: Supplementary Table S6. Annotation of the total proteins in the leaves of P. ternata.
DOI: 10.6084/m9.figshare.21200728.v1
title: Additional file 7 of Large-scale analysis of protein crotonylation reveals its diverse functions in Pinellia ternata

description: Additional file 7: Supplementary Table S6. Annotation of the total proteins in the leaves of P. ternata.
DOI: 10.6084/m9.figshare.21200734
title: Additional file 2 of Reference values for diaphragm electrical activity (Edi) in newborn infants

description: Additional file 2.
DOI: 10.6084/m9.figshare.21200729
title: Additional file 1 of Cognitive diagnosis models of students’ skill profiles as a basis for adaptive teaching: an example from introductory accounting classes

description: Additional file 1.
DOI: 10.6084/m9.figshare.21200729.v1
title: Additional file 1 of Cognitive diagnosis models of students’ skill profiles as a basis for adaptive teaching: an example from introductory accounting classes

description: Additional file 1.
DOI: 10.6084/m9.figshare.21200734.v1
title: Additional file 2 of Reference values for diaphragm electrical activity (Edi) in newborn infants

description: Additional file 2.
DOI: 10.6084/m9.figshare.21200735
title: Additional file 2 of Cognitive diagnosis models of students’ skill profiles as a basis for adaptive teaching: an example from introductory accounting classes

description: Additional file 2.
DOI: 10.6084/m9.figshare.21200738
title: Additional file 3 of Cognitive diagnosis models of students’ skill profiles as a basis for adaptive teaching: an example from introductory accounting classes

description: Additional file 3.
DOI: 10.6084/m9.figshare.21200735.v1
title: Additional file 2 of Cognitive diagnosis models of students’ skill profiles as a basis for adaptive teaching: an example from introductory accounting classes

description: Additional file 2.
DOI: 10.6084/m9.figshare.21200738.v1
title: Additional file 3 of Cognitive diagnosis models of students’ skill profiles as a basis for adaptive teaching: an example from introductory accounting classes

description: Additional file 3.
DOI: 10.6084/m9.figshare.21200806
title: Additional file 5 of Genetic architecture of berry aroma compounds in a QTL (quantitative trait loci) mapping population of interspecific hybrid grapes (Vitis labruscana × Vitis vinifera)

description: Additional file 5: Table S3. The correlation matrix showing the concentrations of 45 volatiles in 2014 among the hybrid population (Pop AC).
DOI: 10.6084/m9.figshare.21200806.v1
title: Additional file 5 of Genetic architecture of berry aroma compounds in a QTL (quantitative trait loci) mapping population of interspecific hybrid grapes (Vitis labruscana × Vitis vinifera)

description: Additional file 5: Table S3. The correlation matrix showing the concentrations of 45 volatiles in 2014 among the hybrid population (Pop AC).
DOI: 10.6084/m9.figshare.21200809
title: Additional file 6 of Genetic architecture of berry aroma compounds in a QTL (quantitative trait loci) mapping population of interspecific hybrid grapes (Vitis labruscana × Vitis vinifera)

description: Additional file 6: Table S4. The correlation matrix showing the concentrations of 45 volatiles in 2015 among the hybrid population (Pop AC).
DOI: 10.6084/m9.figshare.21200809.v1
title: Additional file 6 of Genetic architecture of berry aroma compounds in a QTL (quantitative trait loci) mapping population of interspecific hybrid grapes (Vitis labruscana × Vitis vinifera)

description: Additional file 6: Table S4. The correlation matrix showing the concentrations of 45 volatiles in 2015 among the hybrid population (Pop AC).
DOI: 10.34740/kaggle/dsv/4242786
title: Malaria-Detection
DOI: 10.5281/zenodo.7109331
title: Intersection Vehicular Traffic Flow Scheduling Datasets

description: <strong>Background</strong> Vehicular traffic congestion remains a major problem in most modern cities of the world. Therefore, efforts to minimize these congestions and their accompanying effects continuously receive much attention from researchers, traffic engineers, policymakers, etc. One important element required in the efforts of traffic engineering for the minimization of traffic congestion is data. Data influence the modeling and deployment of traffic scheduling systems. Most importantly, the objectives of modeling and deploying the traffic scheduling system influence the nature of the data to be used. <strong>Aim</strong> The aim of this study was to generate and provide a dataset that may be used in the training of computationally intelligent systems having basic objects of minimizing waiting time, travel time, etc. at various intersections (isolated intersections or roundabouts). <strong>Methodology</strong> The dataset (<strong><em>.csv</em></strong>) consisted of waiting time (W), queue length (Q), and phase duration (P). The waiting time is the time duration vehicles have waited at an intersection/roundabout before being scheduled to utilize the intersection/roundabout. The queue length refers to the number of vehicles (vehicular count) waiting at an intersection/roundabout. Phase duration is the time period a given vehicular flow (lane) is assigned the green wave to utilize the intersection/roundabout. The dataset was obtained through repeated training, testing, and modification of phase duration and the Adaptive Neuro-Fuzzy Inference System (ANFIS) model. The dataset considered bounded conditions on the three parameters (W, Q, P). The W and Q were bounded between zero and ninety – [0, 90] and the P is [13, 50]. That is, when W and Q are greater than or equal to the upper bound, the upper bound is used. Every flow may be assigned a minimum P of 13s and a maximum of 50s. The P-bounds assumed that the lower bound is large enough for vehicles on the assigned traffic flow to move to the safe region of the intersection before the scheduling system switches assignment to another traffic flow. <strong>Conclusion</strong> The dataset may be used as a benchmark dataset for the improvement of traffic flow controllers as well as other datasets.
DOI: 10.5281/zenodo.7109330
title: Intersection Vehicular Traffic Flow Scheduling Datasets

description: <strong>Background</strong> Vehicular traffic congestion remains a major problem in most modern cities of the world. Therefore, efforts to minimize these congestions and their accompanying effects continuously receive much attention from researchers, traffic engineers, policymakers, etc. One important element required in the efforts of traffic engineering for the minimization of traffic congestion is data. Data influence the modeling and deployment of traffic scheduling systems. Most importantly, the objectives of modeling and deploying the traffic scheduling system influence the nature of the data to be used. <strong>Aim</strong> The aim of this study was to generate and provide a dataset that may be used in the training of computationally intelligent systems having basic objects of minimizing waiting time, travel time, etc. at various intersections (isolated intersections or roundabouts). <strong>Methodology</strong> The dataset (<strong><em>.csv</em></strong>) consisted of waiting time (W), queue length (Q), and phase duration (P). The waiting time is the time duration vehicles have waited at an intersection/roundabout before being scheduled to utilize the intersection/roundabout. The queue length refers to the number of vehicles (vehicular count) waiting at an intersection/roundabout. Phase duration is the time period a given vehicular flow (lane) is assigned the green wave to utilize the intersection/roundabout. The dataset was obtained through repeated training, testing, and modification of phase duration and the Adaptive Neuro-Fuzzy Inference System (ANFIS) model. The dataset considered bounded conditions on the three parameters (W, Q, P). The W and Q were bounded between zero and ninety – [0, 90] and the P is [13, 50]. That is, when W and Q are greater than or equal to the upper bound, the upper bound is used. Every flow may be assigned a minimum P of 13s and a maximum of 50s. The P-bounds assumed that the lower bound is large enough for vehicles on the assigned traffic flow to move to the safe region of the intersection before the scheduling system switches assignment to another traffic flow. <strong>Conclusion</strong> The dataset may be used as a benchmark dataset for the improvement of traffic flow controllers as well as other datasets.
DOI: 10.5281/zenodo.7108233
title: The Impact of Chatbots using Concept Maps on Correction Outcomes–a Case Study of Programming Courses

description: experiment learners' questionnaire result and test score
DOI: 10.5281/zenodo.7109343
title: Statistical Data for The Impact of Chatbots using Concept Maps on Correction Outcomes–a Case Study of Programming Courses

description: experiment learners' questionnaire result and test score
DOI: 10.5281/zenodo.7108232
title: Statistical Data for The Impact of Chatbots using Concept Maps on Correction Outcomes–a Case Study of Programming Courses

description: experiment learners' questionnaire result and test score
DOI: 10.6084/m9.figshare.21200842.v3
title: China invasive_plants distribution data

description: <br> For the first time, we mapped the spatial distribution of 239 invasive plant species in China at a fine spatial resolution (50 × 50 km<sup>2</sup>).
DOI: 10.6084/m9.figshare.21200842.v2
title: China invasive_plants distribution data

description: <br> For the first time, we mapped the spatial distribution of 239 invasive plant species in China at a fine spatial resolution (50 × 50 km<sup>2</sup>).