cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8046258
title: Long-term monitoring of the fish community in the Minho Estuary (NW Iberian Peninsula)

description: The dataset contains data from fyke nets deployed in the Minho Estuary (Portugal) from 2010 to 2019. The fyke nets were used for fish sampling and data collection. The sampling frequency varied but, on average, data was collected weekly using five different fyke nets. However, due to technical issues (e.g. lost or damaged fyke nets), the sampling pattern is not constant, with some fyke nets staying underwater for shorter or longer periods, and occasionally having fewer than five fyke nets per parentEventID. The dataset includes various terms such as parentEventID, eventID, eventDate, year, startDayOfYear, endDayOfYear, country, countryCode, geodeticDatum, decimalLatitude, decimalLongitude, coordinateUncertaintyInMeters, DEIMS.iD, habitat, basisOfRecord, samplingProtocol, sampleSizeValue, sampleSizeUnit, samplingEffort, occurrenceStatus, occurrenceID, organismQuantity, organismQuantityType, degreeOfEstablishment, vernacularName, scientificName, acceptedNameUsageID, taxonRank, kingdom, phylum, order, family, genus, and scientificNameAuthorship.
DOI: 10.5281/zenodo.8046259
title: Long-term monitoring of the fish community in the Minho Estuary (NW Iberian Peninsula)

description: The dataset contains data from fyke nets deployed in the Minho Estuary (Portugal) from 2010 to 2019. The fyke nets were used for fish sampling and data collection. The sampling frequency varied but, on average, data was collected weekly using five different fyke nets. However, due to technical issues, the sampling pattern is not constant, with some fyke nets staying underwater for shorter or longer periods, and occasionally having fewer than five fyke nets per event. The dataset includes various variables such as eventID, eventDate, decimalLatitude, decimalLongitude, habitat, samplingProtocol, sampleSizeValue, sampleSizeUnit, organismQuantity, organismQuantityType, degreeOfEstablishment, scientificName, acceptedNameUsageID, taxonRank, kingdom, phylum, order, family, genus, and scientificNameAuthorship.
DOI: 10.5281/zenodo.8046541
title: Long-term monitoring of the fish community in the Minho Estuary (NW Iberian Peninsula)

description: The dataset contains data from fyke nets deployed in the Minho Estuary (Portugal) from 2010 to 2019. The fyke nets were used for fish sampling and data collection. The sampling frequency varied but, on average, data was collected weekly using five different fyke nets. However, due to technical issues, the sampling pattern is not constant, with some fyke nets staying underwater for shorter or longer periods, and occasionally having fewer than five fyke nets per event. The dataset includes various variables such as eventID, eventDate, decimalLatitude, decimalLongitude, habitat, samplingProtocol, sampleSizeValue, sampleSizeUnit, organismQuantity, organismQuantityType, degreeOfEstablishment, scientificName, acceptedNameUsageID, taxonRank, kingdom, phylum, order, family, genus, and scientificNameAuthorship.
DOI: 10.5281/zenodo.8225093
title: Long-term monitoring of the fish community in the Minho Estuary (NW Iberian Peninsula)

description: The dataset contains data from fyke nets deployed in the Minho Estuary (Portugal) from 2010 to 2019. The fyke nets were used for fish sampling and data collection. The sampling frequency varied but, on average, data was collected weekly using five different fyke nets. However, due to technical issues, the sampling pattern is not constant, with some fyke nets staying underwater for shorter or longer periods, and occasionally having fewer than five fyke nets per event. The dataset includes various variables such as parentEventID, eventID, eventDate, year, startDayOfYear, endDayOfYear, decimalLatitude, decimalLongitude, habitat, samplingProtocol, sampleSizeValue, sampleSizeUnit, samplingEffort, occurrenceStatus, occurrenceID, organismQuantity, organismQuantityType, degreeOfEstablishment, vernacularName, scientificName, acceptedNameUsageID, taxonRank, kingdom, phylum, order, family, genus, and scientificNameAuthorship.
DOI: 10.5281/zenodo.8279744
title: Long-term monitoring of the fish community in the Minho Estuary (NW Iberian Peninsula)

description: The dataset contains data from fyke nets deployed in the Minho Estuary (Portugal) from 2010 to 2019. The fyke nets were used for fish sampling and data collection. The sampling frequency varied but, on average, data was collected weekly using five different fyke nets. However, due to technical issues, the sampling pattern is not constant, with some fyke nets staying underwater for shorter or longer periods, and occasionally having fewer than five fyke nets per event. The dataset includes various variables such as parentEventID, eventID, eventDate, year, startDayOfYear, endDayOfYear, country, countryCode, geodeticDatum, decimalLatitude, decimalLongitude, DEIMS.iD, habitat, basisOfRecord, samplingProtocol, sampleSizeValue, sampleSizeUnit, samplingEffort, occurrenceStatus, occurrenceID, organismQuantity, organismQuantityType, degreeOfEstablishment, vernacularName, scientificName, acceptedNameUsageID, taxonRank, kingdom, phylum, order, family, genus, and scientificNameAuthorship.
DOI: 10.25345/c5w950z9g
title: MassIVE MSV000093617 - optimize of fermentation method of Co-culture Penicillium sp. 34 and Staphylococcus aureus shaker PA
title: optimize of fermentation method of Co-culture Penicillium sp. 34 and Staphylococcus aureus shaker PA
DOI: 10.25345/c5rj49567
title: MassIVE MSV000093618 - GNPS - Feline fecal samples (quantification of polyamine conjugated to bile acids)
title: Fecal samples from felines extracted with 50:50 MeOH:H2O and chromatographed using a Phenomenex polar C18 column. MS/MS data was acquired on a QExactive Orbitrap in positive ionization mode. Quantification of polyamines conjugated to bile acids was performed (cholyl-putrescine, cholyl-cadaverine, cholyl-N-acetyl-putrescine), in addition to taurocholic acid and glycocholic acid.
DOI: 10.6084/m9.figshare.21989420
title: Data for [Focal mechanism of a Late Triassic large magnitude earthquake along the Longmen Shan fault belt, eastern Tibetan Plateau]

description: Data for [Focal mechanism of a Late Triassic large magnitude earthquake along the Longmen Shan fault belt, eastern Tibetan Plateau] by Zhang et al. (2024) https://doi.org/10.1016/j.jsg.2023.105015
DOI: 10.5281/zenodo.10322195
title: The Future of Stress Research: A Zenodo Collection of Datasets and Tools for Investigating the Stress-Mental Health Relationship

description: This Zenodo collection offers a comprehensive dataset for researchers exploring the intricate relationship between stress and Mental Health. It provides a valuable resource for investigating how individual experiences influence mental well-being.
Data Included:

Participant Information: Name, age, gender, community (rural/urban), and occupation.
Stress Level: Self-reported stress levels, identified stressors, and coping mechanisms.
Mental Health Scores: Scores on standardized anxiety and depression scales.
Mental Health State: Categorical diagnosis (Average, Poor, Excellent etc.. ).
DOI: 10.5281/zenodo.10322196
title: The Future of Stress Research: A Zenodo Collection of Datasets and Tools for Investigating the Stress-Mental Health Relationship

description: This Zenodo collection offers a comprehensive dataset for researchers exploring the intricate relationship between stress and Mental Health. It provides a valuable resource for investigating how individual experiences influence mental well-being.
Data Included:

Participant Information: Name, age, gender, community (rural/urban), and occupation.
Stress Level: Self-reported stress levels, identified stressors, and coping mechanisms.
Mental Health Scores: Scores on standardized anxiety and depression scales.
Mental Health State: Categorical diagnosis (Average, Poor, Excellent etc.. ).
DOI: 10.6084/m9.figshare.24781908
title: Air-Traffic-Passenger-Statistics-csv.xlsx

description: Dataset + pivot tables for Aviation.
DOI: 10.6084/m9.figshare.24781905
title: Air-Traffic-Passenger-Statistics-csv.csv

description: Dataset
DOI: 10.6084/m9.figshare.24781923
title: 20231210_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24781923.v1
title: 20231210_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.25345/c5ms3kc23
title: MassIVE MSV000093619 - optimize of fermentation method of Co-culture Penicillium sp. 34 and Staphylococcus aureus non shaker technical
title: optimize of fermentation method of Co-culture Penicillium sp. 34 and Staphylococcus aureus non shaker technical
DOI: 10.5281/zenodo.8137326
title: stGCL: A versatile spatial transcriptomics cross-modality fusion method based on multi-modal graph contrastive learning for spatial transcriptomics

description: stGCL is a graph contrastive learning-based cross-modality fusion model that incorporates transcriptional profiles, histological profiles and spatial information to learn the spot joint embedding, enabling spatial domain detection, multi-slices integration and downstream comparative analysis. stGCL utilizes a novel H-ViT method to extract the latent representation of each spot image. Then stGCL employs multi-modal graph attention auto-encoder (GATE) and contrastive learning to extract discriminative information from each modality and fuse them efficiently to generate meaningful joint embeddings. Specifically, multi-modal GATE learns spot joint structured embedding by iteratively aggregating gene expression features and histological features from adjacent spots. In contrastive learning, stGCL maximizes the mutual information between each spot joint embedding and the global summary of the graph, which endows the learned joint representation with not only local (spot expression patterns) but also global features (tissue microenvironment patterns). Furthermore, with a pioneering spatial coordinate correcting and registering strategy, stGCL can precisely identify cross-sectional domains while reducing batch effects.
DOI: 10.5281/zenodo.8184276
title: stGCL: Spatial domain identification and multi-slice integration analysis in spatial transcriptomics with multi-modal graph contrastive learning

description: stGCL is a multi-modal graph contrastive learning framework that integrates transcriptional profiles, histological profiles and spatial information learning the spot joint embedding, enabling spatial domain detection, spatial data integration and downstream analysis. First, stGCL utilizes the pre-trained ViT model to extract the latent representation of each spot image. Then stGCL employs multi-modal graph attention auto-encoder (GATE) and contrastive learning to extract discriminative information from each modality and fuse them efficiently to generate meaningful joint embeddings. Specifically, multi-modal GATE learns spot joint structured embedding by iteratively aggregating gene expression features and histological features from adjacent spots. Furthermore, stGCL adopts contrastive learning to maximize the mutual information between each spot joint embedding and the global summary of the graph, which endows the learned joint representation with not only local but also global features. Finally, stGCL offers simple and effective vertical and horizontal integration methods for analyzing multiple tissue sections, which encourages smoothing of adjacent spot features within and between sections and mitigates the batch effect.
DOI: 10.5517/ccdc.csd.cc2c3cf9
title: CCDC 2177980: Experimental Crystal Structure Determination

description: Related Article: Ting-Ya Li, Shao-Dong Su, Yu-Ying Yang, Yong He, Han Liu, Xin-Tao Wu, Tian-Lu Sheng|2023|Cryst.Growth Des.|23|9075|doi:10.1021/acs.cgd.3c01101
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.cc2c3cgb
title: CCDC 2177981: Experimental Crystal Structure Determination

description: Related Article: Ting-Ya Li, Shao-Dong Su, Yu-Ying Yang, Yong He, Han Liu, Xin-Tao Wu, Tian-Lu Sheng|2023|Cryst.Growth Des.|23|9075|doi:10.1021/acs.cgd.3c01101
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.cc2c3st3
title: CCDC 2178395: Experimental Crystal Structure Determination

description: Related Article: Ting-Ya Li, Shao-Dong Su, Yu-Ying Yang, Yong He, Han Liu, Xin-Tao Wu, Tian-Lu Sheng|2023|Cryst.Growth Des.|23|9075|doi:10.1021/acs.cgd.3c01101
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.cc2d5j6b
title: CCDC 2209841: Experimental Crystal Structure Determination

description: Related Article: Ting-Ya Li, Shao-Dong Su, Yu-Ying Yang, Yong He, Han Liu, Xin-Tao Wu, Tian-Lu Sheng|2023|Cryst.Growth Des.|23|9075|doi:10.1021/acs.cgd.3c01101
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.cc2d5mhq
title: CCDC 2209943: Experimental Crystal Structure Determination

description: Related Article: Ting-Ya Li, Shao-Dong Su, Yu-Ying Yang, Yong He, Han Liu, Xin-Tao Wu, Tian-Lu Sheng|2023|Cryst.Growth Des.|23|9075|doi:10.1021/acs.cgd.3c01101
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.cc2dppxq
title: CCDC 2225394: Experimental Crystal Structure Determination

description: Related Article: Ting-Ya Li, Shao-Dong Su, Yu-Ying Yang, Yong He, Han Liu, Xin-Tao Wu, Tian-Lu Sheng|2023|Cryst.Growth Des.|23|9075|doi:10.1021/acs.cgd.3c01101
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.cc2c3sw5
title: CCDC 2178397: Experimental Crystal Structure Determination

description: Related Article: Ting-Ya Li, Shao-Dong Su, Yu-Ying Yang, Yong He, Han Liu, Xin-Tao Wu, Tian-Lu Sheng|2023|Cryst.Growth Des.|23|9075|doi:10.1021/acs.cgd.3c01101
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.cc2c3t0b
title: CCDC 2178401: Experimental Crystal Structure Determination

description: Related Article: Ting-Ya Li, Shao-Dong Su, Yu-Ying Yang, Yong He, Han Liu, Xin-Tao Wu, Tian-Lu Sheng|2023|Cryst.Growth Des.|23|9075|doi:10.1021/acs.cgd.3c01101
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.cc2c3sv4
title: CCDC 2178396: Experimental Crystal Structure Determination

description: Related Article: Ting-Ya Li, Shao-Dong Su, Yu-Ying Yang, Yong He, Han Liu, Xin-Tao Wu, Tian-Lu Sheng|2023|Cryst.Growth Des.|23|9075|doi:10.1021/acs.cgd.3c01101
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.cc2f9dz4
title: CCDC 2243376: Experimental Crystal Structure Determination

description: Related Article: Cavya Jose, Meghamala Sarkar, Prabhakaran Rajasekar, Tanuja Tewari, Ramamoorthy Boomishankar|2023|Inorg.Chem.|62|19375|doi:10.1021/acs.inorgchem.3c03105
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.cc2f9f06
title: CCDC 2243377: Experimental Crystal Structure Determination

description: Related Article: Cavya Jose, Meghamala Sarkar, Prabhakaran Rajasekar, Tanuja Tewari, Ramamoorthy Boomishankar|2023|Inorg.Chem.|62|19375|doi:10.1021/acs.inorgchem.3c03105
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/7162277
title: MoviesDatasets
DOI: 10.34740/kaggle/dsv/7162302
title: Mahanagar Yatayat Transport Dataset
DOI: 10.5281/zenodo.10322678
title: Upper-mantle anisotropy in the southeastern margin of the Tibetan Plateau revealed by fullwave SKS splitting intensity tomography

description: This dataset contains the raw 3-component 100s SKS waveforms, measured splitting intensities and our final inverted anisotropic model for SE Tibet.
DOI: 10.5281/zenodo.8232747
title: Upper-mantle anisotropy in the southeastern margin of the Tibetan Plateau revealed by fullwave SKS splitting intensity tomography

description: This dataset contains the raw 3-component 100s SKS waveforms, measured splitting intensities and our final inverted anisotropic model for SE Tibet.
DOI: 10.5281/zenodo.8232748
title: Upper-mantle anisotropy in the southeastern margin of the Tibetan Plateau revealed by fullwave SKS splitting intensity tomography

description: This dataset contains the processed SKS waveforms, measured splitting intensities and our final inverted anisotropic model for SE Tibet.
DOI: 10.5281/zenodo.10322288
title: Bodily Maps of Spontaneous Thought

description: Data and scripts for Shin, Lux, Kim, & Woo (2023)
Bodily Maps of Spontaneous ThoughtHyemin Shin*, Byeol Kim Lux*, Hong Ji Kim, Choong-Wan Woo§  *co-first authors§corresponding author: Choong-Wan Woo (choongwan.woo@gmail.com)
Preprint: biorxiv
All scripts are written in Matlab and has been tested on Matlab version 2020b.
Dependencies

CanlabCore
CocoanCORE
Time

Expected install time is approximately 5 minutes.
Expected run time is around an hour in total.
Main scripts
The following are the major scripts that allow you to regenerate the results and figures of the manuscript. The order follows the results as they appeared in the manuscript. Additional external toolboxes and data shared from previous works have been included in the 'external' subfolder. The data shared from previous works were cited in the manuscript.

bodymap_1_across_model.m
bodymap_2_within_model.m
bodymap_3_nummenmaa.m
bodymap_4_heartcluster_1.m
bodymap_4_heartcluster_2.m
bodymap_5_somatotopy.m
To use these scripts, download and unzip the provided zipfile. Open the code in Matlab and set the current folder to the unzipped folder. Add the path to the current folder and its subfolders. The necessary data and functions to run the scripts has been saved in the folders. You can also find some interim results that are already included.
Abstract
The intricate relationship between the body and the mind has long been recognized, but the specific bodily representations of spontaneous thought remain elusive. Here, we developed and validated predictive models of spontaneous thought based on body maps using the emBODY and Free-Association Semantic tasks. Our valence and self-relevance models demonstrated robust prediction performances across three test datasets, with the valence model accurately decoding the bodily topography of emotions and feelings. Model weight patterns revealed the significance of peripheral limbs and heart area in predicting valence, while the head area played a crucial role in predicting self-relevance. Furthermore, we investigated the neurobiological underpinnings of body map representations using fMRI and ECG data and found evidence for the reflection of body map responses in central and autonomic nervous system activities. Overall, this study provides insights into the bodily representations of spontaneous thought, highlighting the interconnected relationships between the body and the mind.