cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21901740.v1
title: A Bayesian approach for multiscale modeling of the influence of seasonal and annual habitat variation on relative abundance of ring-necked pheasant roosters

description: These codes and data are relevant to the paper titled "A Bayesian approach for multiscale modeling of the influence of seasonal and annual habitat variation on relative abundance of ring-necked pheasant roosters". Codes will run RJMCMC simulations for variable selection and also hierarchical models for pheasant abundance
DOI: 10.5281/zenodo.4737642
title: CCG Starter Data Kit: Gabon

description: A starter data kit for Gabon
DOI: 10.5281/zenodo.4737643
title: CCG Starter Data Kit: Gabon

description: A starter data kit for Gabon
DOI: 10.5281/zenodo.4756666
title: CCG Starter Data Kit: Gabon

description: A starter data kit for Gabon
DOI: 10.5281/zenodo.7538982
title: CCG Starter Data Kit: Gabon

description: A starter data kit for Gabon
DOI: 10.5281/zenodo.4651140
title: CCG Starter Data Kit: Gambia, The

description: A starter data kit for Gambia, The
DOI: 10.5281/zenodo.4651141
title: CCG Starter Data Kit: Gambia, The

description: A starter data kit for Gambia, The
DOI: 10.5281/zenodo.4756718
title: CCG Starter Data Kit: Gambia, The

description: A starter data kit for Gambia, The
DOI: 10.5281/zenodo.5733321
title: CCG Starter Data Kit: Gambia, The

description: A starter data kit for Gambia, The
DOI: 10.5281/zenodo.5751740
title: CCG Starter Data Kit: Gambia, The

description: A starter data kit for Gambia, The
DOI: 10.5281/zenodo.7539007
title: CCG Starter Data Kit: Gambia, The

description: A starter data kit for Gambia, The
DOI: 10.6084/m9.figshare.21901770
title: TRPV6 Deficiency Attenuates Stress and Corticosterone-Mediated Exacerbation of Alcohol-Induced Gut Barrier Dysfunction and Systemic Inflammation

description: Chronic stress is co-morbid with alcohol use disorder that feedback on one another, thus impeding recovery from both disorders. Stress and the stress hormone corticosterone aggravate alcohol-induced intestinal permeability and liver damage. However, the mechanisms involved in compounding tissue injury by stress/corticosterone and alcohol are poorly defined. Here we explored the involvement of the TRPV6 channel in stress (or corticosterone) and alcohol-induced intestinal epithelial permeability, microbiota dysbiosis, and systemic inflammation. Chronic alcohol feeding was performed on adult wild-type and <em>Trpv6-/-</em> mice with or without corticosterone treatment or chronic restraint stress (CRS). The barrier function was determined by evaluating inulin permeability <em>in vivo</em> and assessing tight junction (TJ) and adherens junction (AJ) integrity by immunofluorescence microscopy. The gut microbiota composition was evaluated by 16S rRNA sequencing and metagenomic analyses. Systemic responses were assessed by evaluating endotoxemia, systemic inflammation, and liver damage. Corticosterone and CRS disrupted TJ and AJ, increased intestinal mucosal permeability, and caused endotoxemia, systemic inflammation, and liver damage in wild-type but not <em>Trpv6-/-</em> mice. Corticosterone and CRS synergistically potentiated the alcohol-induced breakdown of intestinal epithelial junctions, mucosal barrier impairment, endotoxemia, systemic inflammation, and liver damage in wild-type but not <em>Trpv6-/-</em> mice. TRPV6 deficiency also blocked the effects of CRS and CRS-mediated potentiation of alcohol-induced dysbiosis of gut microbiota. These findings indicate an essential role of TRPV6 in stress, corticosterone, and alcohol-induced intestinal permeability, microbiota dysbiosis, endotoxemia, systemic inflammation, and liver injury. This study identifies TRPV6 as a potential therapeutic target for developing treatment strategies for stress and alcohol-associated comorbidity.
DOI: 10.6084/m9.figshare.21901770.v1
title: TRPV6 Deficiency Attenuates Stress and Corticosterone-Mediated Exacerbation of Alcohol-Induced Gut Barrier Dysfunction and Systemic Inflammation

description: Chronic stress is co-morbid with alcohol use disorder that feedback on one another, thus impeding recovery from both disorders. Stress and the stress hormone corticosterone aggravate alcohol-induced intestinal permeability and liver damage. However, the mechanisms involved in compounding tissue injury by stress/corticosterone and alcohol are poorly defined. Here we explored the involvement of the TRPV6 channel in stress (or corticosterone) and alcohol-induced intestinal epithelial permeability, microbiota dysbiosis, and systemic inflammation. Chronic alcohol feeding was performed on adult wild-type and <em>Trpv6-/-</em> mice with or without corticosterone treatment or chronic restraint stress (CRS). The barrier function was determined by evaluating inulin permeability <em>in vivo</em> and assessing tight junction (TJ) and adherens junction (AJ) integrity by immunofluorescence microscopy. The gut microbiota composition was evaluated by 16S rRNA sequencing and metagenomic analyses. Systemic responses were assessed by evaluating endotoxemia, systemic inflammation, and liver damage. Corticosterone and CRS disrupted TJ and AJ, increased intestinal mucosal permeability, and caused endotoxemia, systemic inflammation, and liver damage in wild-type but not <em>Trpv6-/-</em> mice. Corticosterone and CRS synergistically potentiated the alcohol-induced breakdown of intestinal epithelial junctions, mucosal barrier impairment, endotoxemia, systemic inflammation, and liver damage in wild-type but not <em>Trpv6-/-</em> mice. TRPV6 deficiency also blocked the effects of CRS and CRS-mediated potentiation of alcohol-induced dysbiosis of gut microbiota. These findings indicate an essential role of TRPV6 in stress, corticosterone, and alcohol-induced intestinal permeability, microbiota dysbiosis, endotoxemia, systemic inflammation, and liver injury. This study identifies TRPV6 as a potential therapeutic target for developing treatment strategies for stress and alcohol-associated comorbidity.
DOI: 10.5281/zenodo.4725481
title: CCG Starter Data Kit: Ghana

description: A starter data kit for Ghana
DOI: 10.5281/zenodo.4729509
title: CCG Starter Data Kit: Ghana

description: A starter data kit for Ghana
DOI: 10.5281/zenodo.4756785
title: CCG Starter Data Kit: Ghana

description: A starter data kit for Ghana
DOI: 10.5281/zenodo.4993641
title: CCG Starter Data Kit: Ghana

description: A starter data kit for Ghana
DOI: 10.5281/zenodo.5733322
title: CCG Starter Data Kit: Ghana

description: A starter data kit for Ghana
DOI: 10.5281/zenodo.5751764
title: CCG Starter Data Kit: Ghana

description: A starter data kit for Ghana
DOI: 10.5281/zenodo.4725480
title: CCG Starter Data Kit: Ghana

description: A starter data kit for Ghana
DOI: 10.5281/zenodo.6542319
title: CCG Starter Data Kit: Ghana

description: A starter data kit for Ghana
DOI: 10.5281/zenodo.7539012
title: CCG Starter Data Kit: Ghana

description: A starter data kit for Ghana
DOI: 10.5281/zenodo.4650850
title: CCG Starter Data Kit: Guinea-Bissau

description: A starter data kit for Guinea-Bissau
DOI: 10.5281/zenodo.4650851
title: CCG Starter Data Kit: Guinea-Bissau

description: A starter data kit for Guinea-Bissau
DOI: 10.5281/zenodo.4756717
title: CCG Starter Data Kit: Guinea-Bissau

description: A starter data kit for Guinea-Bissau
DOI: 10.5281/zenodo.7539030
title: CCG Starter Data Kit: Guinea-Bissau

description: A starter data kit for Guinea-Bissau
DOI: 10.5281/zenodo.7538810
title: PYTHIA6 Dataset: Machine learning-based jet and event classification at the Electron-Ion Collider with applications to hadron structure and spin physics

description: Dataset corresponding to: https://inspirehep.net/literature/2164495 The data set contains PYTHIA6 jets in ep collisions, with separate files for LO DIS and photoproduction samples. For further details about the data set, see https://inspirehep.net/literature/2164495. Examples of how to analyze the data set can be found at: https://github.com/jdmulligan/ml-eic-flavor. Please contact james.mulligan@berkeley.edu with any questions.
DOI: 10.5281/zenodo.7538809
title: PYTHIA6 Dataset: Machine learning-based jet and event classification at the Electron-Ion Collider with applications to hadron structure and spin physics

description: Dataset corresponding to: https://inspirehep.net/literature/2164495 The data set contains PYTHIA6 jets in ep collisions, with separate files for LO DIS and photoproduction samples. For further details about the data set, see https://inspirehep.net/literature/2164495. Examples of how to analyze the data set can be found at: https://github.com/jdmulligan/ml-eic-flavor. Please contact james.mulligan@berkeley.edu with any questions.
DOI: 10.5281/zenodo.4725454
title: CCG Starter Data Kit: Guinea

description: A starter data kit for Guinea
DOI: 10.5281/zenodo.4725455
title: CCG Starter Data Kit: Guinea

description: A starter data kit for Guinea
DOI: 10.5281/zenodo.4728580
title: CCG Starter Data Kit: Guinea

description: A starter data kit for Guinea
DOI: 10.5281/zenodo.4756802
title: CCG Starter Data Kit: Guinea

description: A starter data kit for Guinea
DOI: 10.5281/zenodo.7539053
title: CCG Starter Data Kit: Guinea

description: A starter data kit for Guinea
DOI: 10.5281/zenodo.4926858
title: CCG Starter Data Kit: Indonesia

description: A starter data kit for Indonesia
DOI: 10.5281/zenodo.4926859
title: CCG Starter Data Kit: Indonesia

description: A starter data kit for Indonesia
DOI: 10.5281/zenodo.6478256
title: CCG Starter Data Kit: Indonesia

description: A starter data kit for Indonesia
DOI: 10.5281/zenodo.6542351
title: CCG Starter Data Kit: Indonesia

description: A starter data kit for Indonesia
DOI: 10.5281/zenodo.7539093
title: CCG Starter Data Kit: Indonesia

description: A starter data kit for Indonesia
DOI: 10.6084/m9.figshare.21901821.v1
title: Preprocessed data for "Autism excitation-inhibition imbalance linked to brain hyperconnectivity: An analysis based on 657 autistic subjects"

description: This dataset includes the following preprocessed data used in the study "Autism excitation-inhibition imbalance linked to brain hyperconnectivity: An analysis based on 657 autistic subjects": <br> <strong>- "demo_data.xlsx": </strong>It contains the cohort and institution IDs, subject IDs, group ids (TDC/ASD), age, and sex. <br> <strong>- "harmonized_connectivity_2D.tsv": </strong>Connectivity entries in 2D format, such that columns correspond to a particular connectivity entry out of the all the 3321 (from Desikan atlas) and each row corresponds to a particular subject.
DOI: 10.5281/zenodo.7539120
title: Data for "The Heritage Digital Twin: a bicycle made for two."

description: The file contains the data used in the case studies of the paper "The Heritage Digital Twin: a bicycle made for two. The integration of digital methodologies into cultural heritage research" published on ORE.
DOI: 10.5281/zenodo.7539119
title: Data for "The Heritage Digital Twin: a bicycle made for two."

description: The file contains the data used in the case studies of the paper "The Heritage Digital Twin: a bicycle made for two. The integration of digital methodologies into cultural heritage research" published on ORE.
DOI: 10.5281/zenodo.4650875
title: CCG Starter Data Kit: Kenya

description: A starter data kit for Kenya
DOI: 10.5281/zenodo.4756714
title: CCG Starter Data Kit: Kenya

description: A starter data kit for Kenya
DOI: 10.5281/zenodo.4993677
title: CCG Starter Data Kit: Kenya

description: A starter data kit for Kenya
DOI: 10.5281/zenodo.5013943
title: CCG Starter Data Kit: Kenya

description: A starter data kit for Kenya
DOI: 10.5281/zenodo.5729204
title: CCG Starter Data Kit: Kenya

description: A starter data kit for Kenya
DOI: 10.5281/zenodo.5729207
title: CCG Starter Data Kit: Kenya

description: A starter data kit for Kenya
DOI: 10.5281/zenodo.6478248
title: CCG Starter Data Kit: Kenya

description: A starter data kit for Kenya
DOI: 10.5281/zenodo.4650874
title: CCG Starter Data Kit: Kenya

description: A starter data kit for Kenya
DOI: 10.5281/zenodo.7539097
title: CCG Starter Data Kit: Kenya

description: A starter data kit for Kenya
DOI: 10.5281/zenodo.4926881
title: CCG Starter Data Kit: Laos

description: A starter data kit for Laos
DOI: 10.5281/zenodo.6542360
title: CCG Starter Data Kit: Laos

description: A starter data kit for Laos
DOI: 10.5281/zenodo.4926880
title: CCG Starter Data Kit: Laos

description: A starter data kit for Laos
DOI: 10.5281/zenodo.6627330
title: CCG Starter Data Kit: Laos

description: A starter data kit for Laos
DOI: 10.5281/zenodo.7539123
title: CCG Starter Data Kit: Laos

description: A starter data kit for Laos
DOI: 10.4121/21822051
title: Raw absorbance and fluorescence measurements of water samples during Nodularia spumigena bloom event on Lake Bante in Wilhelmshaven, Germany

description: Water sampling was conducted aboard a small electric motor powered vessel on Lake Bante in Wilhelmshaven, Germany during a Nodularia spumigena bloom event (25 August 2022). Samples were kept in the dark and stored at below -4 °C until further analyses were conducted. First the samples were pre-filtered through Whatman GF/F filters with a 0.7 µm mesh. Further filtration was done using Whatman Nuclepore Track-Etch 0.2 µm pore size membranes within 2 weeks after field sampling. Excitation-emission matrices (EEMs) and absorbance measurements were done using a Horiba Aqualog benchtop fluorometer. Sample filtrate was placed in a 1 cm quartz cuvette that had been pre-rinsed 3 times before each measurement.
DOI: 10.4121/21816081.v1
title: Supplementary data for the paper 'A role of peripheral vision in chess? Evidence from a gazecontingent method'

description: Chunking theory and previous eye-tracking studies suggest that expert chess players use peripheral vision to judge chess positions and determine the best moves to play. However, the role of peripheral vision in chess has largely been inferred rather than tested through controlled experimentation. In this study, we used a gaze-contingent paradigm in a reconstruction task, similar to the one initially used by De Groot (1946). It was hypothesized that the smaller the gaze-contingent window while memorizing a chess position, the smaller the differences in reconstruction accuracy between novice and expert players. Participants viewed 30 chess positions for 20 seconds, after which they reconstructed this position. This was done for four different window sizes as well as for full visibility of the board. The results, as measured by Cohen’s <em>d</em> effect sizes between experts and novices of the proportion of correctly placed pieces, supported the above hypothesis, with experts performing much better but losing much of their performance advantage for the smallest window size. A complementary find-the-best-move task and additional eye-movement analyses showed that experts had a longer median fixation duration and more spatially concentrated scan patterns than novice players. These findings suggest a key contribution of peripheral vision and are consistent with the prevailing chunking theory.
DOI: 10.4121/21816081
title: Supplementary data for the paper 'A role of peripheral vision in chess? Evidence from a gaze-contingent method'

description: Chunking theory and previous eye-tracking studies suggest that expert chess players use peripheral vision to judge chess positions and determine the best moves to play. However, the role of peripheral vision in chess has largely been inferred rather than tested through controlled experimentation. In this study, we used a gaze-contingent paradigm in a reconstruction task, similar to the one initially used by De Groot (1946). It was hypothesized that the smaller the gaze-contingent window while memorizing a chess position, the smaller the differences in reconstruction accuracy between novice and expert players. Participants viewed 30 chess positions for 20 seconds, after which they reconstructed this position. This was done for four different window sizes as well as for full visibility of the board. The results, as measured by Cohen’s <em>d</em> effect sizes between experts and novices of the proportion of correctly placed pieces, supported the above hypothesis, with experts performing much better but losing much of their performance advantage for the smallest window size. A complementary find-the-best-move task and additional eye-movement analyses showed that experts had a longer median fixation duration and more spatially concentrated scan patterns than novice players. These findings suggest a key contribution of peripheral vision and are consistent with the prevailing chunking theory.
DOI: 10.4121/21816081.v2
title: Supplementary data for the paper 'A role of peripheral vision in chess? Evidence from a gaze-contingent method'

description: Chunking theory and previous eye-tracking studies suggest that expert chess players use peripheral vision to judge chess positions and determine the best moves to play. However, the role of peripheral vision in chess has largely been inferred rather than tested through controlled experimentation. In this study, we used a gaze-contingent paradigm in a reconstruction task, similar to the one initially used by De Groot (1946). It was hypothesized that the smaller the gaze-contingent window while memorizing a chess position, the smaller the differences in reconstruction accuracy between novice and expert players. Participants viewed 30 chess positions for 20 seconds, after which they reconstructed this position. This was done for four different window sizes as well as for full visibility of the board. The results, as measured by Cohen’s <em>d</em> effect sizes between experts and novices of the proportion of correctly placed pieces, supported the above hypothesis, with experts performing much better but losing much of their performance advantage for the smallest window size. A complementary find-the-best-move task and additional eye-movement analyses showed that experts had a longer median fixation duration and more spatially concentrated scan patterns than novice players. These findings suggest a key contribution of peripheral vision and are consistent with the prevailing chunking theory.
DOI: 10.5281/zenodo.7537035
title: REACH Incubator - open-call #2 Awarded SME dataset

description: This file contain public dataset describing the awarded SME during the 2nd round of the REACH Incubator project.
DOI: 10.5281/zenodo.7539129
title: REACH Incubator - open-call #2 Awarded SME dataset

description: This file contain public dataset describing the awarded SME during the 2nd round of the REACH Incubator project.
DOI: 10.5281/zenodo.7539133
title: Machine Learning Potentials for Metal-Organic Frameworks using an Incremental Learning Approach: Workflow and Data

description: This repository contains input files, workflow scripts, and output datasets and interatomic potentials for a diverse set of metal-organic frameworks, as discussed in this preprint paper. In addition, we provide the scripts to compute the extended Hessian and subsequently the elastic constants using automatic differentiation.
DOI: 10.5281/zenodo.7539132
title: Machine Learning Potentials for Metal-Organic Frameworks using an Incremental Learning Approach: Workflow and Data

description: This repository contains input files, workflow scripts, and output datasets and interatomic potentials for a diverse set of metal-organic frameworks, as discussed in this preprint paper. In addition, we provide the scripts to compute the extended Hessian and subsequently the elastic constants using automatic differentiation.
DOI: 10.5281/zenodo.7539145
title: Shifts in flowering phenology in response to spring temperatures in eastern Tennessee

description: Plant phenological shifts are among the clearest indicators of the effects of climate change. In North America, numerous studies in New England have demonstrated earlier spring flowering compared to historical records. However, few studies have examined phenological shifts in the southeastern United States, a highly biodiverse region of North America characterized by dramatic variation in abiotic conditions over small geographic areas. Here, we use 1000+ digitized herbarium records along with location-specific temperature data to examine phenological shifts of 14 spring-flowering species in two adjacent ecoregions in eastern Tennessee. We show that spring-flowering plant communities in the Blue Ridge and Ridge & Valley ecoregions differ in their sensitivity to temperature; plants in the Ridge & Valley flower 2.7 days earlier/ºC on average compared to 1.3 days/ºC for plants in the Blue Ridge. Additionally, we show that for the majority of species in both ecoregions, flowering is sensitive to spring temperature; i.e., in warmer years, most species flowered earlier. Despite this sensitivity, we did not find support for community-level shifts in flowering within eastern Tennessee in recent decades, likely because increases in annual temperature in the southeast are driven primarily by warming summer (rather than spring) temperatures. These results highlight the importance of including ecoregion as a predictor in phenological models for capturing variation in sensitivity among populations and suggest that even small shifts in temperature can have dramatic effects on phenology in response to climate in the southeastern United States.
description: See README.md for descriptions of data structures and sharing/access information.
DOI: 10.5281/zenodo.7539144
title: Shifts in flowering phenology in response to spring temperatures in eastern Tennessee

description: Plant phenological shifts are among the clearest indicators of the effects of climate change. In North America, numerous studies in New England have demonstrated earlier spring flowering compared to historical records. However, few studies have examined phenological shifts in the southeastern United States, a highly biodiverse region of North America characterized by dramatic variation in abiotic conditions over small geographic areas. Here, we use 1000+ digitized herbarium records along with location-specific temperature data to examine phenological shifts of 14 spring-flowering species in two adjacent ecoregions in eastern Tennessee. We show that spring-flowering plant communities in the Blue Ridge and Ridge & Valley ecoregions differ in their sensitivity to temperature; plants in the Ridge & Valley flower 2.7 days earlier/ºC on average compared to 1.3 days/ºC for plants in the Blue Ridge. Additionally, we show that for the majority of species in both ecoregions, flowering is sensitive to spring temperature; i.e., in warmer years, most species flowered earlier. Despite this sensitivity, we did not find support for community-level shifts in flowering within eastern Tennessee in recent decades, likely because increases in annual temperature in the southeast are driven primarily by warming summer (rather than spring) temperatures. These results highlight the importance of including ecoregion as a predictor in phenological models for capturing variation in sensitivity among populations and suggest that even small shifts in temperature can have dramatic effects on phenology in response to climate in the southeastern United States.
description: See README.md for descriptions of data structures and sharing/access information.
DOI: 10.6084/m9.figshare.21901842.v1
title: Supplimentary Information.docx

description: Data from : A Global Meta-analysis of Cover Crop Response on Soil Carbon Storage Within a Corn Production System
DOI: 10.5281/zenodo.4650866
title: CCG Starter Data Kit: Lesotho

description: A starter data kit for Lesotho
DOI: 10.5281/zenodo.4650867
title: CCG Starter Data Kit: Lesotho

description: A starter data kit for Lesotho
DOI: 10.5281/zenodo.4756711
title: CCG Starter Data Kit: Lesotho

description: A starter data kit for Lesotho
DOI: 10.5281/zenodo.7539124
title: CCG Starter Data Kit: Lesotho

description: A starter data kit for Lesotho
DOI: 10.34740/kaggle/dsv/4856629
title: NHANES 1988-2018