cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2cpfm4
title: CCDC 2195346: Experimental Crystal Structure Determination

description: Related Article: Gagik G. Melikyan, Elen Artashyan, Shannen Guarina, Nicole Babayans, Masis Parunyan, Vahe Darabidian, Anurag Mishra|2023|Organometallics|42|547|doi:10.1021/acs.organomet.2c00422
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.cc2cpfn5
title: CCDC 2195347: Experimental Crystal Structure Determination

description: Related Article: Gagik G. Melikyan, Elen Artashyan, Shannen Guarina, Nicole Babayans, Masis Parunyan, Vahe Darabidian, Anurag Mishra|2023|Organometallics|42|547|doi:10.1021/acs.organomet.2c00422
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.cc2cpfp6
title: CCDC 2195348: Experimental Crystal Structure Determination

description: Related Article: Gagik G. Melikyan, Elen Artashyan, Shannen Guarina, Nicole Babayans, Masis Parunyan, Vahe Darabidian, Anurag Mishra|2023|Organometallics|42|547|doi:10.1021/acs.organomet.2c00422
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: 10.6084/m9.figshare.22045091
title: The inhibition of emodin in human neuroblastoma SH-SY5Y cells

description: The experiment results of emodin in neuroblastoma SH-SY5Y cells.
DOI: 10.6084/m9.figshare.22045091.v10
title: The inhibition of emodin in human neuroblastoma SH-SY5Y cells

description: The experiment results of emodin in neuroblastoma SH-SY5Y cells.
DOI: 10.6084/m9.figshare.22045091.v11
title: The inhibition of emodin in human neuroblastoma SH-SY5Y cells

description: The experiment results of emodin in neuroblastoma SH-SY5Y cells.
DOI: 10.5281/zenodo.7827172
title: Effect of unattended distributional training on phoneme category discrimination in English-Mandarin bilingual adult participants in Singapore (Pilot Study Data)

description: Datasets from Pilot study of <strong>Effect of unattended distributional training on phoneme category discrimination in English-Mandarin bilingual adult participants in Singapore</strong> (project linked here: https://doi.org/10.17605/OSF.IO/S6VDN).
DOI: 10.5281/zenodo.7827171
title: Effect of unattended distributional training on phoneme category discrimination in English-Mandarin bilingual adult participants in Singapore (Pilot Study Data)

description: Datasets from Pilot study of <strong>Effect of unattended distributional training on phoneme category discrimination in English-Mandarin bilingual adult participants in Singapore</strong> (project linked here: https://doi.org/10.17605/OSF.IO/S6VDN).
DOI: 10.5519/qd.82estnds
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (11379 records)
DOI: 10.5281/zenodo.7827176
title: Effect of unattended distributional training on phoneme category discrimination in English-Mandarin bilingual adult participants in Singapore (Main Study Data)

description: Datasets from Main study of <strong>Effect of unattended distributional training on phoneme category discrimination in English-Mandarin bilingual adult participants in Singapore</strong> (project linked here: https://doi.org/10.17605/OSF.IO/S6VDN).
DOI: 10.5281/zenodo.7827175
title: Effect of unattended distributional training on phoneme category discrimination in English-Mandarin bilingual adult participants in Singapore (Main Study Data)

description: Datasets from Main study of <strong>Effect of unattended distributional training on phoneme category discrimination in English-Mandarin bilingual adult participants in Singapore</strong> (project linked here: https://doi.org/10.17605/OSF.IO/S6VDN).
DOI: 10.5281/zenodo.7691202
title: Code and data for "Two-way coupled long-wave isentropic ocean-atmosphere dynamics"

description: This repository contains the code and data needed to replicate the figures and simulations in the JFM Paper: "Two-way coupled long-wave isentropic ocean-atmosphere dynamics". Please see the readme.txt file for details. Edit: v2 updated with JFM paper DOI https://doi.org/10.1017/jfm.2023.131 in file headers
DOI: 10.5281/zenodo.7197430
title: Code and data for "Two-way coupled long-wave isentropic ocean-atmosphere dynamics"

description: This repository contains the code and data needed to replicate the figures and simulations in the JFM Paper: "Two-way coupled long-wave isentropic ocean-atmosphere dynamics". Please see the readme.txt file for details. Edit: -v3 added a jfm_pysonly.zip which contains only the Python scripts to create the figures to allow for a faster separate download -v2 updated with JFM paper DOI https://doi.org/10.1017/jfm.2023.131 in file headers
DOI: 10.5281/zenodo.7827177
title: Code and data for "Two-way coupled long-wave isentropic ocean-atmosphere dynamics"

description: This repository contains the code and data needed to replicate the figures and simulations in the JFM Paper: "Two-way coupled long-wave isentropic ocean-atmosphere dynamics". Please see the readme.txt file for details. Edit: -v3 added a jfm_pysonly.zip which contains only the Python scripts to create the figures to allow for a faster separate download -v2 updated with JFM paper DOI https://doi.org/10.1017/jfm.2023.131 in file headers
DOI: 10.34740/kaggle/dsv/5400126
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.34740/kaggle/dsv/5400151
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.6084/m9.figshare.22631377
title: corporate flow data of Guangdong Province

description: The data is the enterprise investment data and enterprise branch data of Guangdong Province at the end of 2018. The investment data unit is "10000 yuan" and the branch data unit is "piece"
DOI: 10.6084/m9.figshare.22631377.v1
title: corporate flow data of Guangdong Province

description: The data is the enterprise investment data and enterprise branch data of Guangdong Province at the end of 2018. The investment data unit is "10000 yuan" and the branch data unit is "piece"
DOI: 10.6084/m9.figshare.22631440
title: Additional file 2 of Escherichia cryptic clade I is an emerging source of human intestinal pathogens

description: Additional file 2: Table S1. Characteristics of strains used in this study. Table S2. Length of chromosome and plasmids in cryptic clade I strains in which the genome sequence was compldetely determined. Table S3. Alignment coverages of the completely sequenced C-I phages and plasmids encoding major virulence genes with the scaffold sequences of the C-I strains. Table S4. List of the nucleotide sequences of the major virulence genes used in this study. Table S5. List of the nucleotide sequences of E. coli virulence genes used in this study.
DOI: 10.6084/m9.figshare.22631440.v1
title: Additional file 2 of Escherichia cryptic clade I is an emerging source of human intestinal pathogens

description: Additional file 2: Table S1. Characteristics of strains used in this study. Table S2. Length of chromosome and plasmids in cryptic clade I strains in which the genome sequence was compldetely determined. Table S3. Alignment coverages of the completely sequenced C-I phages and plasmids encoding major virulence genes with the scaffold sequences of the C-I strains. Table S4. List of the nucleotide sequences of the major virulence genes used in this study. Table S5. List of the nucleotide sequences of E. coli virulence genes used in this study.
DOI: 10.6084/m9.figshare.22631575
title: Additional file 1 of High vector diversity and malaria transmission dynamics in five sentinel sites in Cameroon

description: Additional file 1: Total Anopheles mosquitoes collected and human biting rates per site.
DOI: 10.6084/m9.figshare.22631575.v1
title: Additional file 1 of High vector diversity and malaria transmission dynamics in five sentinel sites in Cameroon

description: Additional file 1: Total Anopheles mosquitoes collected and human biting rates per site.
DOI: 10.6084/m9.figshare.22631578
title: Additional file 2 of High vector diversity and malaria transmission dynamics in five sentinel sites in Cameroon

description: Additional file 2: Mean indoor, outdoor, and total entomological inoculation rate per site.
DOI: 10.6084/m9.figshare.22631578.v1
title: Additional file 2 of High vector diversity and malaria transmission dynamics in five sentinel sites in Cameroon

description: Additional file 2: Mean indoor, outdoor, and total entomological inoculation rate per site.
DOI: 10.6084/m9.figshare.22631581
title: Additional file 3 of High vector diversity and malaria transmission dynamics in five sentinel sites in Cameroon

description: Additional file 3: Mean indoor resting density of An. gambiae s.l. per site.
DOI: 10.6084/m9.figshare.22631581.v1
title: Additional file 3 of High vector diversity and malaria transmission dynamics in five sentinel sites in Cameroon

description: Additional file 3: Mean indoor resting density of An. gambiae s.l. per site.
DOI: 10.6084/m9.figshare.22631584
title: Additional file 4 of High vector diversity and malaria transmission dynamics in five sentinel sites in Cameroon

description: Additional file 4: Parity and vectorial capacity estimations.
DOI: 10.6084/m9.figshare.22631584.v1
title: Additional file 4 of High vector diversity and malaria transmission dynamics in five sentinel sites in Cameroon

description: Additional file 4: Parity and vectorial capacity estimations.
DOI: 10.6084/m9.figshare.22631607
title: Additional file 2 of A tumor microenvironment-based prognostic index for osteosarcoma

description: Additional file 2: Table S2. DEGs between high- and low-ImmuneScore groups. Table S3. DEGs between high- and low-StromalScore groups. Table S4. Genes of green, blue and yellow modules in WGCNA. Table S6. DEGs between high- and low-TMEindex groups. Table S7. Correlations between TMEindex and IC50 value in different drugs. Table S8. Target pathway of 29 TMEindex-related drugs.
DOI: 10.6084/m9.figshare.22631607.v1
title: Additional file 2 of A tumor microenvironment-based prognostic index for osteosarcoma

description: Additional file 2: Table S2. DEGs between high- and low-ImmuneScore groups. Table S3. DEGs between high- and low-StromalScore groups. Table S4. Genes of green, blue and yellow modules in WGCNA. Table S6. DEGs between high- and low-TMEindex groups. Table S7. Correlations between TMEindex and IC50 value in different drugs. Table S8. Target pathway of 29 TMEindex-related drugs.
DOI: 10.6084/m9.figshare.22631407
title: Data and Code.zip

description: Data and code for Revealing schematic map designs with preservation of relative relations in existing official maps
DOI: 10.6084/m9.figshare.22631407.v1
title: Data and Code.zip

description: Data and code for Revealing schematic map designs with preservation of relative relations in existing official maps
DOI: 10.6084/m9.figshare.22570939
title: Data for "Wolves and beavers potentially trigger a rare aspen seedling event in Yellowstone"

description: <strong>Overview</strong> The Excel file "all_vegetation_data.xlsx" contains all relevant data for the publication: Beschta, R.L., Ripple, W.J., Kauffman, J.B., Goralogia, G.S. "Wolves and beavers potentially trigger a rare aspen seedling event in Yellowstone." Ecology (2023). The dataset file consists of four spreadsheets: 2011 - Height & Browse, 2022 - Tree hts, 2022 - Understory Frequency, 2022 - Structural diversity <strong>Summary of Methods</strong> At the Glen Creek site with aspen (<em>Populus tremuloides</em>) seedlings, we collected plant information in 2011 and 2023. In September 2011, eleven 20-m wide belts were established perpendicular to the main NW-SE axis of the stand, and within each belt we selected the ten tallest aspen, for a total of 110 plants. Using a plant architecture methodology, we determined the height (cm) and occurrence of browsing (yes/no) at annual growth nodes over the life of each plant. In July 2022, we characterized aspen and willow (<em>Salix</em> spp.) heights on six randomly established 2 x 5 m plots. Also, along a randomly located 20-m transect we determined species composition and frequency of understory vegetation within twenty 50 x 50 cm plots. <strong>More Information</strong> Metadata, including variable descriptions and units of measurement are provided in the dataset file itself. For more information on data collection methods, please see Beschta et al. (2023), which is cited above.
DOI: 10.6084/m9.figshare.22570939.v1
title: Data for "Wolves and beavers potentially trigger a rare aspen seedling event in Yellowstone"

description: <strong>Overview</strong> The Excel file "all_vegetation_data.xlsx" contains all relevant data for the publication: Beschta, R.L., Ripple, W.J., Kauffman, J.B., Goralogia, G.S. "Wolves and beavers potentially trigger a rare aspen seedling event in Yellowstone." Ecology (2023). The dataset file consists of four spreadsheets: 2011 - Height & Browse, 2022 - Tree hts, 2022 - Understory Frequency, 2022 - Structural diversity <strong>Summary of Methods</strong> At the Glen Creek site with aspen (<em>Populus tremuloides</em>) seedlings, we collected plant information in 2011 and 2023. In September 2011, eleven 20-m wide belts were established perpendicular to the main NW-SE axis of the stand, and within each belt we selected the ten tallest aspen, for a total of 110 plants. Using a plant architecture methodology, we determined the height (cm) and occurrence of browsing (yes/no) at annual growth nodes over the life of each plant. In July 2022, we characterized aspen and willow (<em>Salix</em> spp.) heights on six randomly established 2 x 5 m plots. Also, along a randomly located 20-m transect we determined species composition and frequency of understory vegetation within twenty 50 x 50 cm plots. <strong>More Information</strong> Metadata, including variable descriptions and units of measurement are provided in the dataset file itself. For more information on data collection methods, please see Beschta et al. (2023), which is cited above.
DOI: 10.5517/ccdc.csd.cc2dn7q1
title: CCDC 2223993: Experimental Crystal Structure Determination

description: Related Article: Xiaoxue Huang, Zhen Zhou, Lan Qin, Daopeng Zhang, Haining Wang, Suna Wang, Lu Yang|2023|Inorg.Chem.|62|5565|doi:10.1021/acs.inorgchem.3c00055
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.cc2dn7r2
title: CCDC 2223994: Experimental Crystal Structure Determination

description: Related Article: Xiaoxue Huang, Zhen Zhou, Lan Qin, Daopeng Zhang, Haining Wang, Suna Wang, Lu Yang|2023|Inorg.Chem.|62|5565|doi:10.1021/acs.inorgchem.3c00055
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: 10.5281/zenodo.7827136
title: REPEAT

description: The datasets used in paper "Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models"
DOI: 10.5517/ccdc.csd.cc2dz6l6
title: CCDC 2233568: Experimental Crystal Structure Determination

description: Related Article: Samantha G. Le Roux, A. Bernard Dippenaar, Thalia Carstens, Catharine Esterhuysen, Delia A. Haynes|2023|Cryst.Growth Des.|23|2795|doi:10.1021/acs.cgd.2c01549
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: 10.5281/zenodo.7827135
title: REPEAT

description: The datasets used in paper "Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models"
DOI: 10.5517/ccdc.csd.cc2dz6m7
title: CCDC 2233569: Experimental Crystal Structure Determination

description: Related Article: Samantha G. Le Roux, A. Bernard Dippenaar, Thalia Carstens, Catharine Esterhuysen, Delia A. Haynes|2023|Cryst.Growth Des.|23|2795|doi:10.1021/acs.cgd.2c01549
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.cc2dz6n8
title: CCDC 2233570: Experimental Crystal Structure Determination

description: Related Article: Samantha G. Le Roux, A. Bernard Dippenaar, Thalia Carstens, Catharine Esterhuysen, Delia A. Haynes|2023|Cryst.Growth Des.|23|2795|doi:10.1021/acs.cgd.2c01549
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: 10.5281/zenodo.7787493
title: Multi-scale mapping of Australia's terrestrial and blue carbon stocks and their bioregional environmental drivers

description: Soils in terrestrial and coastal blue carbon ecosystems are an important carbon sink. National carbon inventories require accurate assessments of soil carbon in these ecosystems to aid conservation and nature-based climate change mitigation strategies. Here we harmonise measurements from Australia’s terrestrial and blue carbon ecosystems and apply a multiscale spatial machine learning model to estimate soil carbon stocks and drivers of variation. We find that climate and vegetation are the primary drivers of variation at the continental scale, with ecosystem type, terrain, clay content, mineralogy and nutrients drive subregional variations. We estimate that in the top 0–30cm soil layer, terrestrial ecosystems hold 27.6 Gt C (19.6–39.0 Gt C), and blue carbon ecosystems hold 0.35 GtC (0.20–0.62 GtC). Tall open eucalypt and mangrove forests have the largest soil carbon content by area, while eucalypt woodlands and hummock grasslands have the largest total carbon stock due to their large area. Our findings suggest these are important ecosystems for conservation and nature-based mitigation climate change strategies.
DOI: 10.5281/zenodo.7787492
title: Multi-scale mapping of Australia's terrestrial and blue carbon stocks and their bioregional environmental drivers

description: Soils in terrestrial and coastal blue carbon ecosystems are an important carbon sink. National carbon inventories require accurate assessments of soil carbon in these ecosystems to aid conservation and nature-based climate change mitigation strategies. Here we harmonise measurements from Australia’s terrestrial and blue carbon ecosystems and apply a multiscale spatial machine learning model to estimate soil carbon stocks and drivers of variation. We find that climate and vegetation are the primary drivers of variation at the continental scale, with ecosystem type, terrain, clay content, mineralogy and nutrients drive subregional variations. We estimate that in the top 0–30cm soil layer, terrestrial ecosystems hold 27.6 Gt C (19.6–39.0 Gt C), and blue carbon ecosystems hold 0.35 GtC (0.20–0.62 GtC). Tall open eucalypt and mangrove forests have the largest soil carbon content by area, while eucalypt woodlands and hummock grasslands have the largest total carbon stock due to their large area. Our findings suggest these are important ecosystems for conservation and nature-based mitigation climate change strategies.
DOI: 10.5281/zenodo.7827137
title: NetBID2 provides comprehensive hidden driver analysis

description: Case1: TCGA_LUAD.RData: expressionSet of TCGA LUAD from TCGA ENCFF143XED.bed: MYC ChIP-seq on human A549 from ENCODE ENCFF542GMN.bed: MYC ATAC-seq on human A549 from ENCODE Case2: TALL_eset.RData: expressionSet of TARGET TALL from TARGET Case3: 051614Kai_06-12-12.xlsx: array matrix and phenotype data for TCR mmc2.xlsx: supplementary table for the paper: Integrative Proteomics and Phosphoproteomics Profiling Reveals Dynamic Signaling Networks and Bioenergetics Pathways Underlying T Cell Activation
DOI: 10.5281/zenodo.7827138
title: NetBID2 provides comprehensive hidden driver analysis

description: Case1: TCGA_LUAD.RData: expressionSet of TCGA LUAD from TCGA ENCFF143XED.bed: MYC ChIP-seq on human A549 from ENCODE ENCFF542GMN.bed: MYC ATAC-seq on human A549 from ENCODE Case2: TALL_eset.RData: expressionSet of TARGET TALL from TARGET Case3: 051614Kai_06-12-12.xlsx: array matrix and phenotype data for TCR mmc2.xlsx: supplementary table for the paper: Integrative Proteomics and Phosphoproteomics Profiling Reveals Dynamic Signaling Networks and Bioenergetics Pathways Underlying T Cell Activation
DOI: 10.6084/m9.figshare.22631662
title: Water Reconstruction Results

description: Water Reconstruction Results
DOI: 10.6084/m9.figshare.22631662.v1
title: Water Reconstruction Results

description: Water Reconstruction Results