cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7212948
title: Data from "Relational Complexity Influences Analogical Reasoning Ability"

description: Human language without analogy is like a zebra without stripes. The ability to understand analogies, or to engage in relational reasoning, has been argued to be a key discontinuity between the cognitive abilities of human and non-human animals. Current studies have failed to robustly show that animals can perform more complex, relational discriminations, in part because such tests rely on linguistic or symbolic experiences, and therefore are not suitable for evaluating analogical reasoning in animals. We report on a methodological approach allowing for direct comparisons of analogical reasoning ability across species. We show that human participants spontaneously make analogical discriminations with minimal verbal instructions, and that the ability to reason analogically is affected by analogical complexity. Furthermore, performance on our task correlated with participants’ fluid intelligence scores. These results show the nuance of analogical reasoning abilities by humans, and provide a means of robustly comparing this capacity across species.
description: This dataset is supplemental to the iScience article "Relational Complexity Influences Analogical Reasoning Ability" Data analysis was conducted in Jamovi using the .omv file. The .csv file is the same data exported for convenience.
DOI: 10.21227/e0xw-7m69
title: Summarization and information extraction from disaster-news articles

description: The disaster-news healline generation dataset (news_articles_and _titles) contains a set of disaster-news articles and their headlines/titles. This dataset may be used to develop a method to generate a good quality headline for a disaster-news article.
DOI: 10.17632/7mk7fxgzn4.1
title: Direct Observation of Competing PrP Fibril Populations with Distinct Structures and Kinetics

description: MATLAB scripts used in paper: Direct Observation of Competing PrP Fibril Populations with Distinct Structures and Kinetics
DOI: 10.17632/js29b924f9.1
title: Supporting information for 'A combined CFD-based simulation and experimental study of particle dispersion in a high-concentration spray workshop under unorganized airflow'

description: Supporting information for 'A combined CFD-based simulation and experimental study of particle dispersion in a high-concentration spray workshop under unorganized airflow'
DOI: 10.17632/wrx22bn64h.1
title: PARS Low-Cost Gamified Portable Rehabilitation System for Upper Arm

description: This study introduces a low-cost single degree of freedom end-effector type compact upper arm rehabilitation system (PARS) along with its necessary hardware and software sections to implement it with gaming environment. Throughout the study detailed explanations of structural setup, electronics, control system and gaming software was given. Proposed virtual gaming interface supports various game levels with different difficulties by the help of utilized interaction type control algorithms within the supplied codes. Thanks to having low cost and easily available components along with open source features, proposed system can be easily manufactured and adapted by every research team working in related field and utilized efficiently considering physical rehabilitation procedures. Also proposed systems compact plug and play design allows its usage in different scenarios including home usage.
DOI: 10.5281/zenodo.7212972
title: LEAF4L-6715 was administered to renal impairment patients undergoing dialysis who had acute respiratory distress syndrome due to COVID-19, sepsis or other causes.

description: Raw dataset for "LEAF4L-6715 was administered to renal impairment patients undergoing dialysis who had acute respiratory distress syndrome due to COVID-19, sepsis or other causes."
DOI: 10.5281/zenodo.7212971
title: LEAF4L-6715 was administered to renal impairment patients undergoing dialysis who had acute respiratory distress syndrome due to COVID-19, sepsis or other causes.

description: Raw dataset for "LEAF4L-6715 was administered to renal impairment patients undergoing dialysis who had acute respiratory distress syndrome due to COVID-19, sepsis or other causes."
DOI: 10.6084/m9.figshare.21341823
title: RawTables-USCGs_metagenomes.zip

description: These tables contain individual information on the normalized microbial community composition in 140 metagenomes based on counting individual single-copy genes (RPKMs). This is supplementary information for Lopez-Garcia, Gutierrez-Preciado et al's manuscript entitled "Metagenome-derived virus-microbe ratios across ecosystems".
DOI: 10.6084/m9.figshare.21341823.v1
title: RawTables-USCGs_metagenomes.zip

description: These tables contain individual information on the normalized microbial community composition in 140 metagenomes based on counting individual single-copy genes (RPKMs). This is supplementary information for Lopez-Garcia, Gutierrez-Preciado et al's manuscript entitled "Metagenome-derived virus-microbe ratios across ecosystems".
DOI: 10.5281/zenodo.6845446
title: Data used for the article "Global evaluation of the dry gets drier and wet gets wetter paradigm from terrestrial water storage changes perspective".

description: This is the data used in the HESS paper "Global evaluation of the dry gets drier and wet gets wetter paradigm from terrestrial water storage changes perspective".
DOI: 10.5281/zenodo.7212925
title: Data used for the article "Global evaluation of the dry gets drier and wet gets wetter paradigm from terrestrial water storage changes perspective".

description: This is the data used in the HESS paper "Global evaluation of the dry gets drier and wet gets wetter paradigm from terrestrial water storage changes perspective".
DOI: 10.5281/zenodo.6845445
title: Data used for the article "Global evaluation of the dry gets drier and wet gets wetter paradigm from terrestrial water storage changes perspective".

description: This is the data used in the HESS paper "Global evaluation of the dry gets drier and wet gets wetter paradigm from terrestrial water storage changes perspective".
DOI: 10.34740/kaggle/dsv/4335663
title: Popular Apps On Play Store
DOI: 10.6084/m9.figshare.21341814
title: Time series of transient snowline altitudes for High Mountain Asia, 1986–2021, derived from remote sensing data using Google Earth Engine

description: <em>Please note that this dataset represents a preliminary version for review and quality checking purposes.</em> <br> Here we present a dataset of Transient Snowline Altitude (TSLA) measurements for glaciers in High Mountain Asia (HMA) based on Landsat satellite imagery and digital elevation model data. The data were obtained using the MountAiN glacier Transient snowline Retrieval Algorithm (MANTRA), a Google Earth Engine tool to measure the average altitude of the snow-ice boundary. <br> Each MANTRA result consists of reference data (e.g. Landsat scene, date, glacier ID), relevant topographic metrics (glacier area, minimum and maximum elevation of the glacier), results of the surface material classification (areas covered by ice, snow, debris and clouds), summary statistics of the TSLA measurement, and quality metrics (cloud cover close to snow-ice boundary, class coverage). <br> For the dataset presented here, we applied MANTRA to all glaciers in HMA with an area larger than 0.5 km² (ca. 28,500 based on Randolph Glacier Inventory v6 glacier outlines). After filtering and postprocessing, the dataset comprises ca. 9.66 million TSLA measurements with an average of 341 ± 160 measurements per glacier, covering the time span 1986 to 2021. <br> Time series of Transient Snowline Altitude (TSLA) metrics for glaciers in High Mountain Asia, 1986 to 2021. The file is in NetCDF format, with the date of the Landsat measurement (LS_DATE) as index. Individual glacier are identified through Randolph Glacier Inventory v6 IDs (RGI_ID). The recommended metric to use for analyses is the median elevation of the detected TSLA range (TSLrange_median_masl).
DOI: 10.5281/zenodo.7213044
title: Supplementary dataset for " Kinematic rupture modeling of broadband ground motion from the 2022 MS6.9 Menyuan earthquake"

description: This is the data used in " Kinematic rupture modeling of broadband ground motion from the 2022 MS6.9 Menyuan earthquake". The paper is currently under review.
DOI: 10.5281/zenodo.7213043
title: Supplementary dataset for " Kinematic rupture modeling of broadband ground motion from the 2022 MS6.9 Menyuan earthquake"

description: This is the data used in " Kinematic rupture modeling of broadband ground motion from the 2022 MS6.9 Menyuan earthquake". The paper is currently under review.
DOI: 10.34740/kaggle/dsv/4336233
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.34740/kaggle/dsv/4336237
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.6669973
title: Data for: Ascent rates of 3D fractures driven by a finite batch of buoyant fluid

description: Ascent rates of finite fluid batches: Contains the numerical experiments using https://pyfrac.epfl.ch/ Also contains movies and text data from selected analog gelatin experiments of <em>Smittarello, D. 2019 Propagation des intrusions basaltiques. PhD thesis, Université Grenoble Alpes.</em> See ReadMe file for more information. Files zipped using 7zip.
DOI: 10.5281/zenodo.6669974
title: Data for: Ascent rates of 3D fractures driven by a finite batch of buoyant fluid

description: Ascent rates of finite fluid batches: Contains the numerical experiments using https://pyfrac.epfl.ch/ Also contains movies and text data from selected analog gelatin experiments of <em>Smittarello, D. 2019 Propagation des intrusions basaltiques. PhD thesis, Université Grenoble Alpes.</em> See ReadMe file for more information. Files zipped using 7zip.
DOI: 10.5281/zenodo.7213078
title: Data for: Ascent rates of 3D fractures driven by a finite batch of buoyant fluid

description: Ascent rates of finite fluid batches: Contains the numerical experiments using https://pyfrac.epfl.ch/ Also contains movies and text data from selected analog gelatin experiments of <em>Smittarello, D. 2019 Propagation des intrusions basaltiques. PhD thesis, Université Grenoble Alpes.</em> See ReadMe file for more information. Files zipped using 7zip.
DOI: 10.5281/zenodo.7213140
title: iodosphaeria_phyllophila_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7213139
title: iodosphaeria_phyllophila_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.21342024
title: Classifier of human behavioral activities

description: Based on the ernie3.0 framework, the ernie3.0 pre-training model and tokenizer are loaded through PaddleNLP, the text is divided into non-activities and activities, and then the non-activities and activities are divided into non-necessary activities and necessary activities respectively; optional activities and social activities, and then define the optimizer, loss function, evaluation index, etc. required for training, and pre-model fine-tuning, through pre-training, let the machine learn to automatically analyze these semantic tendencies. Secondly, Python is used to crawl the Weibo tweet data, and the data is cleaned and preprocessed to provide basic data for classification research. Finally, based on Ernie 3.0 training and learning, the microblog text is predicted, and it is divided into spontaneous activities, social activities and other activities according to the recognition results, and the prediction results are saved.
DOI: 10.5281/zenodo.7213153
title: Open-Access DICOM MRI session

description: This is an open-access DICOM MRI session of a healthy subject (Colin Vanden Bulcke) containing several MRI sequences: MPRAGE T1-weighted MP2RAGE FLAIR 3D EPI
DOI: 10.5281/zenodo.7213152
title: Open-Access DICOM MRI session

description: This is an open-access DICOM MRI session of a healthy subject (Colin Vanden Bulcke) containing several MRI sequences: MPRAGE T1-weighted MP2RAGE FLAIR 3D EPI
DOI: 10.5281/zenodo.7213161
title: lithophaga_nigra_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7213160
title: lithophaga_nigra_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7213159
title: Dataset for paper "Automated Static Warning Identification via Path-based Semantic Representation" submitted to JOS

description: The project includes the datasets and running example used in the submitted JOS paper titled "Automated Static Warning Identification via Path-based Semantic Representation"
DOI: 10.5281/zenodo.7213158
title: Dataset for paper "Automated Static Warning Identification via Path-based Semantic Representation" submitted to JOS

description: The project includes the datasets and running example used in the submitted JOS paper titled "Automated Static Warning Identification via Path-based Semantic Representation"
DOI: 10.5281/zenodo.7213163
title: Extraction des données brutes de theses.fr

description: Extraction des données brutes de https://www.theses.fr/ au format JSON. This data is in the public domain. Quoting the theses.fr website : <em>"Les données brutes relevant du domaine public sont disponibles via une API XML."</em>
DOI: 10.5281/zenodo.7213179
title: Extraction des données brutes de theses.fr

description: Extraction des données brutes de https://www.theses.fr/ au format JSON. Les données sont extraites par le script <code>get-theses-fr.py</code> This data is in the public domain. Quoting the theses.fr website : <em>"Les données brutes relevant du domaine public sont disponibles via une API XML."</em>
DOI: 10.5281/zenodo.7213162
title: Extraction des données brutes de theses.fr

description: Extraction des données brutes de https://www.theses.fr/ au format JSON. Les données sont extraites par le script <code>get-theses-fr.py</code> This data is in the public domain. Quoting the theses.fr website : <em>"Les données brutes relevant du domaine public sont disponibles via une API XML."</em>
DOI: 10.6084/m9.figshare.19687299
title: Are We Only Detecting the Tip of the Iceberg? A Nationwide Study on Primary Aldosteronism with up to 8-Year Follow-up

description: Long-term follow-up studies on primary aldosteronism (PA) are lacking. We aim to review results of diagnostic procedures and histopathology for patients diagnosed during 2012–2016 in Iceland, compare unilateral (UD) and bilateral disease (BD) and assess treatment response. Thirty-two patients aged 28–88 were diagnosed and treated according to guidelines. The majority had BD. Everyone needed potassium supplementation at case detection. We saw a reduction in systolic blood pressure (<i>p</i> &lt; .001, both groups), antihypertensive agents (<i>p</i> = .002 UD and <i>p</i> = .04 BD) and potassium supplementation (<i>p</i> &lt; .001, both groups). Similar treatment response was seen in both subgroups. Ratio of hypokalemia and number of cases indicates severe PA underdiagnosis in Iceland.
DOI: 10.6084/m9.figshare.19687299.v1
title: Are We Only Detecting the Tip of the Iceberg? A Nationwide Study on Primary Aldosteronism with up to 8-Year Follow-up

description: Long-term follow-up studies on primary aldosteronism (PA) are lacking. We aim to review results of diagnostic procedures and histopathology for patients diagnosed during 2012–2016 in Iceland, compare unilateral (UD) and bilateral disease (BD) and assess treatment response. Thirty-two patients aged 28–88 were diagnosed and treated according to guidelines. The majority had BD. Everyone needed potassium supplementation at case detection. We saw a reduction in systolic blood pressure (<i>p</i> &lt; .001, both groups), antihypertensive agents (<i>p</i> = .002 UD and <i>p</i> = .04 BD) and potassium supplementation (<i>p</i> &lt; .001, both groups). Similar treatment response was seen in both subgroups. Ratio of hypokalemia and number of cases indicates severe PA underdiagnosis in Iceland.
DOI: 10.6084/m9.figshare.21342048.v1
title: Clinical Risk Factors Related to Post Stroke Epilepsy Patients in Indonesia: A Hospital-Based Study

description: Stroke had been accounted to cause almost 50% of epilepsy in the elderly and may lead to poor functional outcomes. Many studies examining the risk factors have been conducted despite showing inconsistent results and currently still difficult to predict the occurrence of post-stroke epilepsy. The study aimed to determine risk factors related to post-stroke epilepsy that influence clinical seizure, electroencephalography, and functional outcome of patients in Saiful Anwar General Hospital
DOI: 10.34740/kaggle/dsv/4336581
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.21342066
title: Face processing M/EEG data for Dynamic Causal Modelling (Faces vs Scrambled)

description: This dataset consists of BIDS-formatted M/EEG data from Wakeman & Henson (2015) that have been processed for DCM analysis. Multimodal data from EEG, MEG magnetometers and MEG planar gradiometers from all 16 subjects have been processed with the analysis pipeline presented in Henson et al (2019). Individual subjects' T1 images were used for creating head models. Forward models (leadfields) for all subjects are included in the dataset. The file 'derivatives_dcm_ready_with_gainmat_all_subjects.zip' consists of dcm-ready data for all 16 subjects Each subject's data consists of 3 files: SPM sidecar data file: wmaMceffdspmeeg_sub-XX_ses-meg_task-facerecognition_run-01_proc-sss_meg.dat SPM data header file: wmaMceffdspmeeg_sub-XX_ses-meg_task-facerecognition_run-01_proc-sss_meg.mat Gain matrix (forward model): SPMgainmatrix_wmaMceffdspmeeg_sub-XX_ses-meg_task-facerecognition_run-01_proc-sss_meg_1.mat *XX here indicates zero-padded subject number (01, 02, ...). Supplied filelist.txt contains the full filelist and folder hierarchy inside the compressed zip archive. <br> This dataset was prepared for demonstration of group-level estimation and inference of DCMs from M/EEG data. The raw data can be found here: https://openneuro.org/datasets/ds000117 Scripts used to produce this dataset from the raw data, as well as as scripts demonstrating group DCM analysis can be found here:https://github.com/pranaysy/cognestic22_multimodal_dcm <br> For more information or queries, please get in touch, or open an issue on the GitHub repository linked above. <br> Note: This dataset differs from https://figshare.com/articles/dataset/Face_processing_M_EEG_data_for_Dynamic_Causal_Modelling/21130297 in that this one has two conditions: famous and unfamiliar faces have been merged into one condition and scrambled faces. The linked one has three conditions: famous faces, unfamiliar faces and scrambled faces.
DOI: 10.6084/m9.figshare.21342066.v1
title: Face processing M/EEG data for Dynamic Causal Modelling (Faces vs Scrambled)

description: This dataset consists of BIDS-formatted M/EEG data from Wakeman & Henson (2015) that have been processed for DCM analysis. Multimodal data from EEG, MEG magnetometers and MEG planar gradiometers from all 16 subjects have been processed with the analysis pipeline presented in Henson et al (2019). Individual subjects' T1 images were used for creating head models. Forward models (leadfields) for all subjects are included in the dataset. The file 'derivatives_dcm_ready_with_gainmat_all_subjects.zip' consists of dcm-ready data for all 16 subjects Each subject's data consists of 3 files: SPM sidecar data file: wmaMceffdspmeeg_sub-XX_ses-meg_task-facerecognition_run-01_proc-sss_meg.dat SPM data header file: wmaMceffdspmeeg_sub-XX_ses-meg_task-facerecognition_run-01_proc-sss_meg.mat Gain matrix (forward model): SPMgainmatrix_wmaMceffdspmeeg_sub-XX_ses-meg_task-facerecognition_run-01_proc-sss_meg_1.mat *XX here indicates zero-padded subject number (01, 02, ...). Supplied filelist.txt contains the full filelist and folder hierarchy inside the compressed zip archive. <br> This dataset was prepared for demonstration of group-level estimation and inference of DCMs from M/EEG data. The raw data can be found here: https://openneuro.org/datasets/ds000117 Scripts used to produce this dataset from the raw data, as well as as scripts demonstrating group DCM analysis can be found here:https://github.com/pranaysy/cognestic22_multimodal_dcm <br> For more information or queries, please get in touch, or open an issue on the GitHub repository linked above. <br> Note: This dataset differs from https://figshare.com/articles/dataset/Face_processing_M_EEG_data_for_Dynamic_Causal_Modelling/21130297 in that this one has two conditions: famous and unfamiliar faces have been merged into one condition and scrambled faces. The linked one has three conditions: famous faces, unfamiliar faces and scrambled faces.
DOI: 10.34740/kaggle/dsv/4336637
title: Elon Musk Tweets
DOI: 10.34740/kaggle/dsv/4336663
title: Popular Apps On Play Store
DOI: 10.5281/zenodo.7213240
title: popillia_japonica_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7213239
title: popillia_japonica_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7213242
title: pseudoscaphirhynchus_fedtschenkoi_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7213241
title: pseudoscaphirhynchus_fedtschenkoi_zanfona_1.fasta.gz

description: .
DOI: 10.17909/0twe-7g94
title: MaGiV-1 TESS Photometry
DOI: 10.5281/zenodo.7213270
title: Title 7 Test

description: Description
DOI: 10.5281/zenodo.7213269
title: Title 7 Test

description: Description
DOI: 10.6084/m9.figshare.21342195
title: Responses to the survey

description: The file contains the responses that were collected through online surveys.
DOI: 10.6084/m9.figshare.21342195.v1
title: Responses to the survey

description: The file contains the responses that were collected through online surveys.
DOI: 10.5517/ccdc.csd.cc269s7k
title: CCDC 2035188: Experimental Crystal Structure Determination

description: Related Article: Ipsha Shruti, Mubarak Almehairbi, Zeinab M. Saeed, Tamador Alkhidir, Wesam A. Ali, Rampal Vishwakarma, Sharmarke Mohamed, Deepak Chopra|2022|Cryst.Growth Des.|22|5861|doi:10.1021/acs.cgd.2c00344
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc269s8l
title: CCDC 2035189: Experimental Crystal Structure Determination

description: Related Article: Ipsha Shruti, Mubarak Almehairbi, Zeinab M. Saeed, Tamador Alkhidir, Wesam A. Ali, Rampal Vishwakarma, Sharmarke Mohamed, Deepak Chopra|2022|Cryst.Growth Des.|22|5861|doi:10.1021/acs.cgd.2c00344
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/4303259
title: ECB speeches etc. 1997 to 2022-10-16
DOI: 10.5517/ccdc.csd.cc269s9m
title: CCDC 2035190: Experimental Crystal Structure Determination

description: Related Article: Ipsha Shruti, Mubarak Almehairbi, Zeinab M. Saeed, Tamador Alkhidir, Wesam A. Ali, Rampal Vishwakarma, Sharmarke Mohamed, Deepak Chopra|2022|Cryst.Growth Des.|22|5861|doi:10.1021/acs.cgd.2c00344
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.