cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22729181
title: Additional file 4 of Single-nucleus RNA sequencing of human pancreatic islets identifies novel gene sets and distinguishes β-cell subpopulations with dynamic transcriptome profiles

description: Additional file 4: Data S3. Differentially expressed genes in the different human β-cell subclusters from the integrated, scRNA-seq and snRNA-seq in vitro studies and the snRNA-seq in vivo studies.
DOI: 10.6084/m9.figshare.22729184.v1
title: Additional file 5 of Single-nucleus RNA sequencing of human pancreatic islets identifies novel gene sets and distinguishes β-cell subpopulations with dynamic transcriptome profiles

description: Additional file 5: Data S4. Differentially expressed genes in the human β-cell 3-2 transition subclusters from the integrated datasets in the in vitro studies.
DOI: 10.6084/m9.figshare.22729187
title: Additional file 6 of Single-nucleus RNA sequencing of human pancreatic islets identifies novel gene sets and distinguishes β-cell subpopulations with dynamic transcriptome profiles

description: Additional file 6: Data S5. Differentially expressed genes in the different human islet cell clusters from the snRNA-seq studies in vivo.
DOI: 10.6084/m9.figshare.22729187.v1
title: Additional file 6 of Single-nucleus RNA sequencing of human pancreatic islets identifies novel gene sets and distinguishes β-cell subpopulations with dynamic transcriptome profiles

description: Additional file 6: Data S5. Differentially expressed genes in the different human islet cell clusters from the snRNA-seq studies in vivo.
DOI: 10.6084/m9.figshare.22729181.v1
title: Additional file 4 of Single-nucleus RNA sequencing of human pancreatic islets identifies novel gene sets and distinguishes β-cell subpopulations with dynamic transcriptome profiles

description: Additional file 4: Data S3. Differentially expressed genes in the different human β-cell subclusters from the integrated, scRNA-seq and snRNA-seq in vitro studies and the snRNA-seq in vivo studies.
DOI: 10.6084/m9.figshare.22729184
title: Additional file 5 of Single-nucleus RNA sequencing of human pancreatic islets identifies novel gene sets and distinguishes β-cell subpopulations with dynamic transcriptome profiles

description: Additional file 5: Data S4. Differentially expressed genes in the human β-cell 3-2 transition subclusters from the integrated datasets in the in vitro studies.
DOI: 10.6084/m9.figshare.22729220
title: Additional file 2 of High-resolution structural variants catalogue in a large-scale whole genome sequenced bovine family cohort data

description: Additional file 2: Supplementary table 1. A list of structural variants identified in the current study and their cooridnates, length, type, category, allele frequency, whether a SV was validated or not via the 50K SNP genotyping approach, and genic overlap are shown in the table. Supplementary table 2. A list of 127 trios and the corresponding animal IDs for each trio.
DOI: 10.6084/m9.figshare.22729220.v1
title: Additional file 2 of High-resolution structural variants catalogue in a large-scale whole genome sequenced bovine family cohort data

description: Additional file 2: Supplementary table 1. A list of structural variants identified in the current study and their cooridnates, length, type, category, allele frequency, whether a SV was validated or not via the 50K SNP genotyping approach, and genic overlap are shown in the table. Supplementary table 2. A list of 127 trios and the corresponding animal IDs for each trio.
DOI: 10.6084/m9.figshare.22729229
title: Additional file 2 of The genetic landscape of inherited retinal dystrophies in Arabs

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.22729229.v1
title: Additional file 2 of The genetic landscape of inherited retinal dystrophies in Arabs

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.22729237
title: Additional file 2 of Severe cardiogenic shock and cardiac arrest due to fulminant cardiac sarcoidosis: a case report

description: Additional file 2.
DOI: 10.6084/m9.figshare.22729237.v1
title: Additional file 2 of Severe cardiogenic shock and cardiac arrest due to fulminant cardiac sarcoidosis: a case report

description: Additional file 2.
DOI: 10.6084/m9.figshare.22729241
title: Additional file 1 of Liquid-liquid phase separation throws novel insights into treatment strategies for skin cutaneous melanoma

description: Additional file 1.
DOI: 10.6084/m9.figshare.22729241.v1
title: Additional file 1 of Liquid-liquid phase separation throws novel insights into treatment strategies for skin cutaneous melanoma

description: Additional file 1.
DOI: 10.6084/m9.figshare.22729250
title: Additional file 3 of Chikungunya seroprevalence in population-based studies: a systematic review and meta-analysis

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.22729250.v1
title: Additional file 3 of Chikungunya seroprevalence in population-based studies: a systematic review and meta-analysis

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.22729267
title: Additional file 1 of On the holobiont ‘predictome’ of immunocompetence in pigs

description: Additional file 1: QIIME2 pipeline used to process and combine the two 16S sequence datasets.
DOI: 10.6084/m9.figshare.22729267.v1
title: Additional file 1 of On the holobiont ‘predictome’ of immunocompetence in pigs

description: Additional file 1: QIIME2 pipeline used to process and combine the two 16S sequence datasets.
DOI: 10.6084/m9.figshare.22729307
title: Additional file 1 of Small open reading frames: a comparative genetics approach to validation

description: Additional file 1: Table S1. List of high-confidence smORFs and known smORFs.
DOI: 10.6084/m9.figshare.22729307.v1
title: Additional file 1 of Small open reading frames: a comparative genetics approach to validation

description: Additional file 1: Table S1. List of high-confidence smORFs and known smORFs.
DOI: 10.6084/m9.figshare.22729310
title: Additional file 2 of Small open reading frames: a comparative genetics approach to validation

description: Additional file 2: Table S2. List of smORFs carrying disease-associated SNVs from GWAS catalog.
DOI: 10.6084/m9.figshare.22729310.v1
title: Additional file 2 of Small open reading frames: a comparative genetics approach to validation

description: Additional file 2: Table S2. List of smORFs carrying disease-associated SNVs from GWAS catalog.
DOI: 10.48366/r585821
title: Comparison of the isolation of anaerobic arsenite oxidizing bacteria containing arxA- arsenite oxidase sequence.

description: The present comparison describes the procedure, including sampling, enrichment culture, and results from a paper that reported the isolation of anaerobic arsenite-oxidizing bacteria that contain the recently discovered Arx-type arsenite oxidase-like sequence.
DOI: 10.6084/m9.figshare.22729334
title: AZAZAZ

description: Test
DOI: 10.6084/m9.figshare.22729334.v1
title: AZAZAZ

description: Test
DOI: 10.7910/dvn/lrcntp
title: Replication Data for: Remote Board Meetings and Board Monitoring Effectiveness: Evidence from China

description: The code replicates all tables in "Remote Board Meetings and Board Monitoring Effectiveness: Evidence from China" by Xinni Cai, Fuxiu Jiang, and Jun-Koo Kang. The provided data sets on which the code can run are pseudo data sets with random numbers that inherit the formats of the original data sets.
DOI: 10.5281/zenodo.7883480
title: MUSES Leaf Area Index (LAI) Monthly Global 1km SIN Grid in 2011

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1 km spatial resolution and monthly temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2011. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2010</strong></em>, <em>and <strong>click here</strong> to download the MUSES LAI product <strong>in 2012</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2011 Spatial Resolution: 1 km Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7883479
title: MUSES Leaf Area Index (LAI) Monthly Global 1km SIN Grid in 2011

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1 km spatial resolution and monthly temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2011. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2010</strong></em>, <em>and <strong>click here</strong> to download the MUSES LAI product <strong>in 2012</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2011 Spatial Resolution: 1 km Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7883634
title: Exploring the Automatic Recommendation of Composite Refactorings

description: Dataset of the survey with developers to explore a recommender of refactoring.
DOI: 10.5281/zenodo.7883635
title: Exploring the Automatic Recommendation of Composite Refactorings

description: Dataset of the survey with developers to explore a recommender of refactoring.
DOI: 10.5281/zenodo.7845147
title: On the roles of software testers supplemental material

description: Processed job ads and data analysis material.
DOI: 10.5281/zenodo.7845148
title: On the roles of software testers supplemental material

description: Processed job ads and data analysis material.
DOI: 10.25442/hku.22717084
title: Oyster Holobiont response to acidification and hypoxia Hemraj et al., 2023 Frontiers Ecology Evolution

description: The data set is composed of data measured from an experiment involving exposing oyster holobiont to acidification and hypoxia. We aimed to understand the physiological trade-offs involved in oysters based on their exposure to stressful environments and how the microbial community associated with the oysters will also respond. We also measure changes in nutrient processing capability of the holobiont by measuring changes in nutrient concentrations.
DOI: 10.25442/hku.22717084.v1
title: Oyster Holobiont response to acidification and hypoxia Hemraj et al., 2023 Frontiers Ecology Evolution

description: The data set is composed of data measured from an experiment involving exposing oyster holobiont to acidification and hypoxia. We aimed to understand the physiological trade-offs involved in oysters based on their exposure to stressful environments and how the microbial community associated with the oysters will also respond. We also measure changes in nutrient processing capability of the holobiont by measuring changes in nutrient concentrations.
DOI: 10.25901/v6my-pz84
title: Arcturus Emerald Flux Data Release 2023_v1
DOI: 10.25901/0f71-4q76
title: Boyagin Flux Data Release 2023_v1
DOI: 10.25901/4vym-ss03
title: Calperum Chowilla Flux Data Release 2023_v1
DOI: 10.25901/m1dt-t693
title: Cape Tribulation Flux Data Release 2023_v1
DOI: 10.25901/2axg-x970
title: Collie Flux Data Release 2023_v1
DOI: 10.25901/jt0t-f294
title: Cow Bay Flux Data Release 2023_v1
DOI: 10.25901/n9xv-ds05
title: Cumberland Plain Flux Data Release 2023_v1
DOI: 10.6084/m9.figshare.22729517
title: Internalized stigma among people living with HIV in Thailand

description: Dataset of a cross-sectional study on internalized stigma among people living with HIV in Thailand, 2021
DOI: 10.26179/s9t8-nq49
title: Law Dome and Wilkes Land Traverse Logbooks, 1981
DOI: 10.5281/zenodo.7884827
title: MUSES Leaf Area Index (LAI) Monthly Global 1km SIN Grid in 2010

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1 km spatial resolution and monthly temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2010. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2009</strong></em>, <em>and <strong>click here</strong> to download the MUSES LAI product <strong>in 2011</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2010 Spatial Resolution: 1 km Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7884826
title: MUSES Leaf Area Index (LAI) Monthly Global 1km SIN Grid in 2010

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1 km spatial resolution and monthly temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2010. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2009</strong></em>, <em>and <strong>click here</strong> to download the MUSES LAI product <strong>in 2011</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2010 Spatial Resolution: 1 km Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7884973
title: Parallel Bilby O4 Review Data

description: The result files from the parallel-bilby O4 review. Review page here: https://git.ligo.org/lscsoft/parallel_bilby/-/wikis/O4-Review Review repo here: https://git.ligo.org/avi.vajpeyi/pbilby_o4_review
DOI: 10.5281/zenodo.7884972
title: Parallel Bilby O4 Review Data

description: The result files from the parallel-bilby O4 review. Review page here: https://git.ligo.org/lscsoft/parallel_bilby/-/wikis/O4-Review Review repo here: https://git.ligo.org/avi.vajpeyi/pbilby_o4_review
DOI: 10.6084/m9.figshare.22729013
title: Crustal Evolution of a Continental Magmatic Arc from Subduction to Collision

description: <em>Journal of Geophysical Research: Solid Earth </em> Supporting Information for Crustal Evolution of a Continental Magmatic Arc from Subduction to Collision
DOI: 10.6084/m9.figshare.22729013.v2
title: Crustal Evolution of a Continental Magmatic Arc from Subduction to Collision

description: <em>Journal of Geophysical Research: Solid Earth </em> Supporting Information for Crustal Evolution of a Continental Magmatic Arc from Subduction to Collision
DOI: 10.6084/m9.figshare.22729013.v1
title: Crustal Evolution of a Continental Magmatic Arc from Subduction to Collision

description: <em>Journal of Geophysical Research: Solid Earth </em> Supporting Information for Crustal Evolution of a Continental Magmatic Arc from Subduction to Collision
DOI: 10.5281/zenodo.7885096
title: Data for "Thermal disruption of a Luttinger liquid"

description: This dataset is part of the scientific journal article "Thermal disruption of a Luttinger liquid"
DOI: 10.6084/m9.figshare.22730024
title: tweets_vaccine.sql

description: tweets related to the COVID-19 vaccination. Terms related to COVID-19 such as “covid”, “coronavirus”, “ncov2019” and “SARS-CoV-2” were combined with “vaccine” term as input of the scraper. The ‘tweets’ data table included the following fields: ‘id’, ‘date’, ‘tweet’, ‘url’, ‘username’, ‘outlinks’, ‘retweetCount’, ‘replyCount’, ‘likeCount’ and ‘quoteCount’ for describing a tweet entity.
DOI: 10.6084/m9.figshare.22730024.v2
title: tweets_vaccine.sql

description: tweets related to the COVID-19 vaccination. Terms related to COVID-19 such as “covid”, “coronavirus”, “ncov2019” and “SARS-CoV-2” were combined with “vaccine” term as input of the scraper. The ‘tweets’ data table included the following fields: ‘id’, ‘date’, ‘tweet’, ‘url’, ‘username’, ‘outlinks’, ‘retweetCount’, ‘replyCount’, ‘likeCount’ and ‘quoteCount’ for describing a tweet entity.
DOI: 10.6084/m9.figshare.22730024.v1
title: tweets_vaccine.sql

description: tweets related to the COVID-19 vaccination. Terms related to COVID-19 such as “covid”, “coronavirus”, “ncov2019” and “SARS-CoV-2” were combined with “vaccine” term as input of the scraper. The ‘tweets’ data table included the following fields: ‘id’, ‘date’, ‘tweet’, ‘url’, ‘username’, ‘outlinks’, ‘retweetCount’, ‘replyCount’, ‘likeCount’ and ‘quoteCount’ for describing a tweet entity.
DOI: 10.5281/zenodo.5922616
title: Disruption of fish gut microbiota composition and holobiont's metabolome during a simulated Microcystis aeruginosa (Cyanobacteria) bloom

description: This archive contains the R code, QIIME2 script and datasets used to perform the analyses and figures in the manuscript.