cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e120321v11-110820
title: COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions Attributes

description: This project aims to present a large dataset for researchers to discover public conversation on Twitter surrounding the COVID-19 pandemic. From 28 January 2020 to 1 September 2021, we collected over 198 million Twitter posts from more than 25 million unique users using four keywords: “corona”, “wuhan”, “nCov” and “covid”. Leveraging topic modeling techniques and pre-trained machine learning-based emotion analytic algorithms, we labeled each tweet with seventeen semantic attributes, including a) ten binary attributes indicating the tweet’s relevance or irrelevance to the top ten detected topics, b) five quantitative emotion attributes indicating the degree of intensity of the valence or sentiment (from 0: very negative to 1: very positive), and the degree of intensity of fear, anger, happiness and sadness emotions (from 0: not at all to 1: extremely intense), and c) two qualitative attributes indicating the sentiment category (very negative, negative, neutral or mixed, positive, very positive) and the dominant emotion category (fear, anger, happiness, sadness, no specific emotion) the tweet is mainly expressing.
description: Twitter posts.
description: The latest version has data updated up to 1 Sep 2021, including additional csv downloads for 29 countries)
DOI: 10.5281/zenodo.6299560
title: Sensing Echoes: Temporal misalignment as the Earliest Marker of Neurodevelopmental Derail

description: FROM THE PREPRINT: Sensory transduction and transmission delays operate and propagate along different time scales. From microseconds in the auditory domain, to hundreds of milliseconds in the visual, and kinesthetic domains, the brain must successfully align disparate delays arising from endogenously self-generated streams of motor and visceral sensorial information, with exogenous sensory inputs. To produce a cohesive response to environmental goals, constantly explore, adapt, and develop a sense of simultaneity, the brain must resolve this major feat and compensate for excessive delays in any sensory modality. Disruption in these processes may lead to altered perception of the self and others, and inadvertently affect social interactions. But how early such issues may emerge and be reliably detectable, remains a challenge. Here we assess in neonates, the transmission latencies of a sound wave that travels from the cochlear nerve to the brainstem on its way to the primary auditory cortex. Already at birth, we find systematic and cumulative delays in the propagation of this wave in neonates that later received a diagnosis of autism. Furthermore, we discover that the distributions of such temporal delays have far narrower bandwidth than those from neonates who did not receive the autism diagnosis. We identify associated codependent genes’ networks and define a reliable marker of neurodevelopment derail, detectable at birth. Under the precision autism model, we propose that the brainstem contains an endogenous clock anchoring and aligning disparate timescales critical for the emergence and maintenance of congruent percepts of the self and others.
DOI: 10.5281/zenodo.6299559
title: Sensing Echoes: Temporal misalignment as the Earliest Marker of Neurodevelopmental Derail

description: FROM THE PREPRINT: Sensory transduction and transmission delays operate and propagate along different time scales. From microseconds in the auditory domain, to hundreds of milliseconds in the visual, and kinesthetic domains, the brain must successfully align disparate delays arising from endogenously self-generated streams of motor and visceral sensorial information, with exogenous sensory inputs. To produce a cohesive response to environmental goals, constantly explore, adapt, and develop a sense of simultaneity, the brain must resolve this major feat and compensate for excessive delays in any sensory modality. Disruption in these processes may lead to altered perception of the self and others, and inadvertently affect social interactions. But how early such issues may emerge and be reliably detectable, remains a challenge. Here we assess in neonates, the transmission latencies of a sound wave that travels from the cochlear nerve to the brainstem on its way to the primary auditory cortex. Already at birth, we find systematic and cumulative delays in the propagation of this wave in neonates that later received a diagnosis of autism. Furthermore, we discover that the distributions of such temporal delays have far narrower bandwidth than those from neonates who did not receive the autism diagnosis. We identify associated codependent genes’ networks and define a reliable marker of neurodevelopment derail, detectable at birth. Under the precision autism model, we propose that the brainstem contains an endogenous clock anchoring and aligning disparate timescales critical for the emergence and maintenance of congruent percepts of the self and others.
DOI: 10.25494/p6x601
title: North Central Coast: Aerial surveys and classification of Bodega Head Intertidal Habitats, 2010

description: This intertidal habitat classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).This particular file shows coverage of the USGS Bodega Head orthoquad region. Ocean Imaging acquired the imagery used for this analysis using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the multispectral imagery required to produce the habitat classification thematic maps of the California North Central Coast’s intertidal region and kelp beds from Pigeon Point up to Point Arena, including select bays and river mouths designated as MPAs. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.23641/asha.19233297.v1
title: Sex differences in auditory-cognitive associations (Al-Yawer et al., 2022)

description: <b>Purpose:</b> Hearing loss (HL) is associated with cognitive performance in older adults, including performance on the Montreal Cognitive Assessment (MoCA), a brief cognitive screening test. Yet, despite well-established sex-related differences in both hearing and cognition, very few studies have tested whether there are sex-related differences in auditory-cognitive associations.<b>Method:</b> In the current cross-sectional retrospective analysis, we examined sex-related differences in hearing and cognition in 193 healthy older adults (<i>M</i> = 69 years, 60% women). Hearing was measured using audiometry (pure-tone average [PTA] of thresholds at 500, 1000, 2000, and 4000 Hz in the worse ear). Cognition was assessed using the MoCA. Additionally, we calculated MoCA scores with hearing-dependent subtests excluded from scoring (MoCA-Modified).<b>Results:</b> Men and women did not differ in age, education, or history of depression. Women had better hearing than men. Women with normal hearing were more likely to pass the MoCA compared with their counterparts with HL. In contrast, the likelihood of passing the MoCA did not depend on hearing status in men. Linear regression analysis showed an interaction between sex and PTA in the worse ear. PTAs were significantly correlated with both MoCA and MoCA-Modified scores in women, whereas this was not observed in the men.<b>Conclusions:</b> This study is one of the first to demonstrate significant sex-related differences in auditory-cognitive associations even when hearing-related cognitive test items are omitted. Potential mechanisms underlying these female-specific effects are discussed.<br><b>Supplemental Material S1.</b> Demographic and cognitive variables for those with normal hearing and hearing loss (based on the cutoff of a 25 dB HL pure-tone average of thresholds at 500, 1000, 2000, and 4000 Hz in the worse ear).<br><b>Supplemental Material S2.</b> Regression models for MoCA scores examining the interaction between sex and hearing in the better ear (based on pure-tone average of thresholds at 500, 1000, 2000, and 4000 Hz in the better ear). <br>Al-Yawer, F., Bruce, H., Li, K. Z. H., Pichora-Fuller, M. K., & Phillips, N. A. (2022). Sex-related differences in the associations between Montreal Cognitive Assessment scores and pure-tone measures of hearing. <i>American Journal of Audiology</i>. Advance online publication. https://doi.org/10.1044/2021_AJA-21-00131
DOI: 10.23641/asha.19233297
title: Sex differences in auditory-cognitive associations (Al-Yawer et al., 2022)

description: <b>Purpose:</b> Hearing loss (HL) is associated with cognitive performance in older adults, including performance on the Montreal Cognitive Assessment (MoCA), a brief cognitive screening test. Yet, despite well-established sex-related differences in both hearing and cognition, very few studies have tested whether there are sex-related differences in auditory-cognitive associations.<b>Method:</b> In the current cross-sectional retrospective analysis, we examined sex-related differences in hearing and cognition in 193 healthy older adults (<i>M</i> = 69 years, 60% women). Hearing was measured using audiometry (pure-tone average [PTA] of thresholds at 500, 1000, 2000, and 4000 Hz in the worse ear). Cognition was assessed using the MoCA. Additionally, we calculated MoCA scores with hearing-dependent subtests excluded from scoring (MoCA-Modified).<b>Results:</b> Men and women did not differ in age, education, or history of depression. Women had better hearing than men. Women with normal hearing were more likely to pass the MoCA compared with their counterparts with HL. In contrast, the likelihood of passing the MoCA did not depend on hearing status in men. Linear regression analysis showed an interaction between sex and PTA in the worse ear. PTAs were significantly correlated with both MoCA and MoCA-Modified scores in women, whereas this was not observed in the men.<b>Conclusions:</b> This study is one of the first to demonstrate significant sex-related differences in auditory-cognitive associations even when hearing-related cognitive test items are omitted. Potential mechanisms underlying these female-specific effects are discussed.<br><b>Supplemental Material S1.</b> Demographic and cognitive variables for those with normal hearing and hearing loss (based on the cutoff of a 25 dB HL pure-tone average of thresholds at 500, 1000, 2000, and 4000 Hz in the worse ear).<br><b>Supplemental Material S2.</b> Regression models for MoCA scores examining the interaction between sex and hearing in the better ear (based on pure-tone average of thresholds at 500, 1000, 2000, and 4000 Hz in the better ear). <br>Al-Yawer, F., Bruce, H., Li, K. Z. H., Pichora-Fuller, M. K., & Phillips, N. A. (2022). Sex-related differences in the associations between Montreal Cognitive Assessment scores and pure-tone measures of hearing. <i>American Journal of Audiology</i>. Advance online publication. https://doi.org/10.1044/2021_AJA-21-00131
DOI: 10.25494/p6sc75
title: North Central Coast: Aerial surveys and classification of Bolinas Intertidal Habitats, 2010

description: This intertidal habitat classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).This particular file shows coverage of the USGS Bolinas orthoquad region. Ocean Imaging acquired the imagery used for this analysis using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the multispectral imagery required to produce the habitat classification thematic maps of the California North Central Coast’s intertidal region and kelp beds from Pigeon Point up to Point Arena, including select bays and river mouths designated as MPAs. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.25494/p6np58
title: North Central Coast: Aerial surveys and classification of Double Point Intertidal Habitats, 2010

description: This intertidal habitat classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).This particular file shows coverage of the USGS Double Point orthoquad region. Ocean Imaging acquired the imagery used for this analysis using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the multispectral imagery required to produce the habitat classification thematic maps of the California North Central Coast’s intertidal region and kelp beds from Pigeon Point up to Point Arena, including select bays and river mouths designated as MPAs. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.25494/p6hw2z
title: North Central Coast: Aerial surveys and classification of Drakes Bay Intertidal Habitats, 2010

description: This intertidal habitat classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).This particular file shows coverage of the USGS Drakes Bay orthoquad region. Ocean Imaging acquired the imagery used for this analysis using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the multispectral imagery required to produce the habitat classification thematic maps of the California North Central Coast’s intertidal region and kelp beds from Pigeon Point up to Point Arena, including select bays and river mouths designated as MPAs. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.25494/p6d60c
title: North Central Coast: Aerial surveys and classification of Drakes-Limantour Bay Intertidal Habitats, 2010

description: This intertidal habitat classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).This particular file shows coverage of Drakes-Limantour Bay. Ocean Imaging acquired the imagery used for this analysis using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the multispectral imagery required to produce the habitat classification thematic maps of the California North Central Coast’s intertidal region and kelp beds from Pigeon Point up to Point Arena, including select bays and river mouths designated as MPAs. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.25494/p68c8w
title: North Central Coast: Aerial surveys and classification of Duncans Mills Intertidal Habitats, 2010

description: This intertidal habitat classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).This particular file shows coverage of the USGS Duncans Mills orthoquad region. Ocean Imaging acquired the imagery used for this analysis using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the multispectral imagery required to produce the habitat classification thematic maps of the California North Central Coast’s intertidal region and kelp beds from Pigeon Point up to Point Arena, including select bays and river mouths designated as MPAs. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.