cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19690459.v2
title: Jiaozhou Bay 16S rRNA & metagenome dataset

description: Data for contigs, MAGs, and other files generated using the JZB microbial dataset. Dataset includes: <br> Single assembly contigs (10 files)： JZB_A53_27_201509_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 2.7 μm pore-sized filter at A53 station in September 2015 in Jiazhou Bay. JZB_A53_07_201509_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 0.7 μm pore-sized filter at A53 station in September 2015 in Jiazhou Bay. JZB_A53_02_201509_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 0.22 μm pore-sized filter at A53 station in September 2015 in Jiazhou Bay. JZB_A53_27_201603_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 2.7 μm pore-sized filter at A53 station in March 2016 in Jiazhou Bay. JZB_A53_02_201603_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 0.22 μm pore-sized filter at A53 station in March 2016 in Jiazhou Bay. JZB_D710_27_201509_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 2.7 μm pore-sized filter at D710 station in September 2015 in the open Yellow Sea. JZB_D710_07_201509_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 0.7 μm pore-sized filter at D710 station in September 2015 in the open Yellow Sea. JZB_D710_02_201509_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 0.22 μm pore-sized filter at D710 station in September 2015 in the open Yellow Sea. JZB_D710_07_201603_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 0.7 μm pore-sized filter at D710 station in March 2016 in the open Yellow Sea. JZB_D710_02_201603_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 0.22 μm pore-sized filter at D710 station in March 2016 in the open Yellow Sea. <br> Co-assembly contigs (3 files)： JZB_27_fractional_assembly.final.contigs.tar.gz: Contigs from co-assembly of samples collected onto 2.7 μm pore-sized filter. JZB_07_fractional_assembly.final.contigs.tar.gz: Contigs from co-assembly of samples collected onto 0.7 μm pore-sized filter. JZB_02_fractional_assembly.final.contigs.tar.gz: Contigs from co-assembly of samples collected onto 0.22 μm pore-sized filter. <br> JZB_MAGs.tar.gz: 915 non-redundant and purified prokaryotic genomes with ≥ 50% completeness and ≤ 5% contamination <br> Supplementary Table 1: Sampling information and environment factors. <br> Supplementary Table 2: The ASVs-table, ASVs taxonomy, and sequencing data information of 16S rDNA sequencing. <br> Supplementary Table 3: The contigs information; MAG information; reference genomes information of archaeal tree; reference genomes information of bacterial tree; Metagenome raw data information. <br>
DOI: 10.6084/m9.figshare.20791534
title: Data "Qualitative analysis from the social referents perspective of the multidimensional construct of schoolchildren’s motor competence"

description: Dataset and transcripts that underlie the results described in the manuscript "Qualitative analysis from the social referents perspective of the multidimensional construct of schoolchildren’s motor competence".
DOI: 10.6084/m9.figshare.20791534.v1
title: Data "Qualitative analysis from the social referents perspective of the multidimensional construct of schoolchildren’s motor competence"

description: Dataset and transcripts that underlie the results described in the manuscript "Qualitative analysis from the social referents perspective of the multidimensional construct of schoolchildren’s motor competence".
DOI: 10.5281/zenodo.7043105
title: Dimethylsulfoniopropionate-derived compound concentrations, volatile organic compound concentrations, and microorganism abundances around two corals and a seaweed in the reefs of Moorea (French Polynesia)

description: These data belong in the paper: M. Masdeu-Navarro, J-F. Mangot, L. Xue, M. Cabrera-Brufau, S.G. Gardner, D.J. Kieber, J.M. González, R. Simó (2022). Spatial and diel patterns of volatile organic compounds, DMSP-derived compopunds and planktonic microorganisms around a tropical scleractinian coral colony. <em>Frontiers in Marine Science</em>. Concentrations of DMSP, acrylate, DMSO, DMS, DMDS, COS, CS2, isoprene, CH3I, CH2ClI, CH2Br2 and CHBr3 in seawater samples around colonies of the corals Acropora pulchra and Pocillopora sp., and the brown seaweed Turbinaria ornata. Abundances of high-DNA and low-DNA bacteria, Prochlorococcus, Synechococcus, picoeukaryotes and nanoeukaryotes in the same samples, as determined by flow cytometry. All samples were collected in April 2018 in the coral reefs of Mo'orea, French Polynesia. The upper set of data contains concentrations at the distance of 0.5 cm from the coral polyps on the branch tips or verrucae, as well as from the seaweed thalli (samples IN), and 2 m away, downcurrent (samples OUT). The second set of data corresponds to A. pulchra only, and contains seawater samples IN, OUT and AL, the latter being sampled at 0.5 cm from the base of the dead branches colonized by a turf alga. IN, OUT and AL samples were collected over an entire diel cycle, every 6 hours for a period of 30 hours.
DOI: 10.5281/zenodo.7043104
title: Dimethylsulfoniopropionate-derived compound concentrations, volatile organic compound concentrations, and microorganism abundances around two corals and a seaweed in the reefs of Moorea (French Polynesia)

description: These data belong in the paper: M. Masdeu-Navarro, J-F. Mangot, L. Xue, M. Cabrera-Brufau, S.G. Gardner, D.J. Kieber, J.M. González, R. Simó (2022). Spatial and diel patterns of volatile organic compounds, DMSP-derived compopunds and planktonic microorganisms around a tropical scleractinian coral colony. <em>Frontiers in Marine Science</em>. Concentrations of DMSP, acrylate, DMSO, DMS, DMDS, COS, CS2, isoprene, CH3I, CH2ClI, CH2Br2 and CHBr3 in seawater samples around colonies of the corals Acropora pulchra and Pocillopora sp., and the brown seaweed Turbinaria ornata. Abundances of high-DNA and low-DNA bacteria, Prochlorococcus, Synechococcus, picoeukaryotes and nanoeukaryotes in the same samples, as determined by flow cytometry. All samples were collected in April 2018 in the coral reefs of Mo'orea, French Polynesia. The upper set of data contains concentrations at the distance of 0.5 cm from the coral polyps on the branch tips or verrucae, as well as from the seaweed thalli (samples IN), and 2 m away, downcurrent (samples OUT). The second set of data corresponds to A. pulchra only, and contains seawater samples IN, OUT and AL, the latter being sampled at 0.5 cm from the base of the dead branches colonized by a turf alga. IN, OUT and AL samples were collected over an entire diel cycle, every 6 hours for a period of 30 hours.
DOI: 10.5281/zenodo.7034648
title: Data and MATLAB code: Glacier contributions to river discharge during the current Chilean megadrought

description: Data and MATLAB code to support the article <em>Glacier contributions to river discharge during the current Chilean megadrought </em>in <em>Earth's Future</em> by McCarthy and others
description: See README for details
DOI: 10.5281/zenodo.7034647
title: Data and MATLAB code: Glacier contributions to river discharge during the current Chilean megadrought

description: Data and MATLAB code to support the article <em>Glacier contributions to river discharge during the current Chilean megadrought </em>in <em>Earth's Future</em> by McCarthy and others
description: See README for details
DOI: 10.25502/vjd5-dm72/d
title: Youth Agripreneurs: Expanding Opportunities for the Youth in Agro-processing Business in the Democratic Republic of Congo 

description: IITA is providing technical support on cassava value chain development in collaboration with national research institutes (INERA and SENASEM). IITA is also facilitating youth engagement in agribusiness.
DOI: 10.5281/zenodo.7043073
title: Raw data for the plot in the article entitled "On the electrophoretic deposition of Bi2Te3 nanoparticles through electrolyte optimization and substrate design"

description: raw data of transport presented in Fig1a of the open access article with the following details: On the electrophoretic deposition of Bi2Te3nanoparticles through electrolyte optimization and substrate design Colloids and Surfaces A: Physicochemical and Engineering Aspects Volume 649, 20 September 2022, 129537 https://doi.org/10.1016/j.colsurfa.2022.129537
DOI: 10.5281/zenodo.7043072
title: Raw data for the plot in the article entitled "On the electrophoretic deposition of Bi2Te3 nanoparticles through electrolyte optimization and substrate design"

description: raw data of transport presented in Fig1a of the open access article with the following details: On the electrophoretic deposition of Bi2Te3nanoparticles through electrolyte optimization and substrate design Colloids and Surfaces A: Physicochemical and Engineering Aspects Volume 649, 20 September 2022, 129537 https://doi.org/10.1016/j.colsurfa.2022.129537
DOI: 10.5281/zenodo.7042844
title: Raw data for the article entitled "Facile Solution Synthesis, Processing and Characterization of n- and p-Type Binary and Ternary Bi–Sb Tellurides"

description: Raw data for the plots in the open access article "Facile Solution Synthesis, Processing and Characterization of n- and p-Type Binary and Ternary Bi–Sb Tellurides"
DOI: 10.5281/zenodo.7042843
title: Raw data for the article entitled "Facile Solution Synthesis, Processing and Characterization of n- and p-Type Binary and Ternary Bi–Sb Tellurides"

description: Raw data for the plots in the open access article "Facile Solution Synthesis, Processing and Characterization of n- and p-Type Binary and Ternary Bi–Sb Tellurides"
DOI: 10.5522/04/20659479
title: Data and scripts for paper "Modelling Membrane Reshaping by Staged Polymerization of ESCRT-III Filaments"

description: Data and scripts for paper "Modelling Membrane Reshaping by Staged Polymerization of ESCRT-III Filaments". Including data points for figures in main and SI, and LAMMPS input file.
DOI: 10.5522/04/20659479.v1
title: Data and scripts for paper "Modelling Membrane Reshaping by Staged Polymerization of ESCRT-III Filaments"

description: Data and scripts for paper "Modelling Membrane Reshaping by Staged Polymerization of ESCRT-III Filaments". Including data points for figures in main and SI, and LAMMPS input file.
DOI: 10.6084/m9.figshare.20792731
title: Projected wheat yield data

description: The crop yield data has been generated by GGCM emulator ensemble projection under RCP4.5 and RCP8.5 from 1976 to 2095.
DOI: 10.6084/m9.figshare.20792731.v1
title: Projected wheat yield data

description: The crop yield data has been generated by GGCM emulator ensemble projection under RCP4.5 and RCP8.5 from 1976 to 2095.
DOI: 10.6084/m9.figshare.20787787
title: 20 projects' data

description: <strong>This file contains all data of 20 projects.</strong>
DOI: 10.6084/m9.figshare.20787787.v1
title: 20 projects' data

description: <strong>This file contains all data of 20 projects.</strong>
DOI: 10.6084/m9.figshare.20774806
title: Circulating MicroRNAs as Potential Biomarkers of Early Vascular Damage in Vitamin D Deficiency, Obese, and Diabetic Patients

description: We report novel circulatory miRNAs biomarkers that are likely to provide specific non-invasive early diagnostic and prognostic tools for assessing vascular health. These comprise: miR-182-5p; miR-200c-3p; miR-199a-5p for vitamin D deficiency and obese patients, while miR-193-5p; miR-155-5p for vitamin D, obese and diabetic patients. This is the first paper to report those miRNAs and their target genes delineating their biological processes combined with clinical evidence of vascular stiffness using PWV (Pulse wave velocity) in middle aged Emirati population.
DOI: 10.6084/m9.figshare.20774806.v2
title: Circulating MicroRNAs as Potential Biomarkers of Early Vascular Damage in Vitamin D Deficiency, Obese, and Diabetic Patients

description: We report novel circulatory miRNAs biomarkers that are likely to provide specific non-invasive early diagnostic and prognostic tools for assessing vascular health. These comprise: miR-182-5p; miR-200c-3p; miR-199a-5p for vitamin D deficiency and obese patients, while miR-193-5p; miR-155-5p for vitamin D, obese and diabetic patients. This is the first paper to report those miRNAs and their target genes delineating their biological processes combined with clinical evidence of vascular stiffness using PWV (Pulse wave velocity) in middle aged Emirati population.
DOI: 10.5281/zenodo.6567608
title: Verdú et al.'s datasets on plant recruitment networks

description: Plant recruitment interactions (i.e., who recruits under whom) shape the composition, diversity and structure of plant communities. Despite the huge body of knowledge on the mechanisms underlying recruitment interactions between species, we still know little about the structure of the recruitment networks emerging in ecological communities. Modeling and analyzing the community-level structure of plant recruitment interactions as a complex network can provide relevant information on ecological and evolutionary processes acting both at the species and ecosystem levels. We report a data set containing 143 plant recruitment networks in 23 countries across five continents, including temperate and tropical ecosystems. Each network identifies the species under which another species recruits. All networks report the number of recruits (i.e., individuals) per species. The data set includes &gt;850,000 recruiting individuals involved in 118,411 paired interactions between 3,318 vascular plant species across the globe. The cover of canopy species and open ground is also provided as a separated file. Three sampling protocols were used: 1) The Recruitment Network (RN) protocol (106 networks) focuses on interactions between established plants (“canopy species”) and plants in their early stages of recruitment (”recruit species”). A series of plots are delimited within a locality and all the individuals recruiting and their canopy species are identified; 2) The paired Canopy-Open (pCO) protocol (26 networks) consists in locating a potential canopy plant and identifying recruiting individuals under the canopy and in a nearby open space of the same area; 3) The Georeferenced plot (GP) protocol (11 networks) consists in using information from georeferenced individual plants in large plots to infer canopy-recruit interactions. Some networks incorporate data for both herbs and woody species, while others focus exclusively on woody species. The location of each study site, geographical coordinates, country, locality, responsible author, sampling dates, sampling method and life habit of both canopy and recruit species are provided. This database will allow researchers to test ecological, biogeographical and evolutionary hypotheses related to plant recruitment interactions.
DOI: 10.5281/zenodo.6567607
title: Verdú et al.'s datasets on plant recruitment networks

description: Plant recruitment interactions (i.e., who recruits under whom) shape the composition, diversity and structure of plant communities. Despite the huge body of knowledge on the mechanisms underlying recruitment interactions between species, we still know little about the structure of the recruitment networks emerging in ecological communities. Modeling and analyzing the community-level structure of plant recruitment interactions as a complex network can provide relevant information on ecological and evolutionary processes acting both at the species and ecosystem levels. We report a data set containing 143 plant recruitment networks in 23 countries across five continents, including temperate and tropical ecosystems. Each network identifies the species under which another species recruits. All networks report the number of recruits (i.e., individuals) per species. The data set includes &gt;850,000 recruiting individuals involved in 118,411 paired interactions between 3,318 vascular plant species across the globe. The cover of canopy species and open ground is also provided as a separated file. Three sampling protocols were used: 1) The Recruitment Network (RN) protocol (106 networks) focuses on interactions between established plants (“canopy species”) and plants in their early stages of recruitment (”recruit species”). A series of plots are delimited within a locality and all the individuals recruiting and their canopy species are identified; 2) The paired Canopy-Open (pCO) protocol (26 networks) consists in locating a potential canopy plant and identifying recruiting individuals under the canopy and in a nearby open space of the same area; 3) The Georeferenced plot (GP) protocol (11 networks) consists in using information from georeferenced individual plants in large plots to infer canopy-recruit interactions. Some networks incorporate data for both herbs and woody species, while others focus exclusively on woody species. The location of each study site, geographical coordinates, country, locality, responsible author, sampling dates, sampling method and life habit of both canopy and recruit species are provided. This database will allow researchers to test ecological, biogeographical and evolutionary hypotheses related to plant recruitment interactions.
DOI: 10.34740/kaggle/dsv/4151680
title: YouTube Daily
DOI: 10.5281/zenodo.7043241
title: Molecular Dynamics Simulation of Solar Wind Implantation in the Permanently Shadowed Regions on the Lunar Surface

description: Supporting data for "Molecular Dynamics Simulation of Solar Wind Implantation in the Permanently Shadowed Regions on the Lunar Surface"
DOI: 10.5281/zenodo.7043240
title: Molecular Dynamics Simulation of Solar Wind Implantation in the Permanently Shadowed Regions on the Lunar Surface

description: Supporting data for "Molecular Dynamics Simulation of Solar Wind Implantation in the Permanently Shadowed Regions on the Lunar Surface"
DOI: 10.15480/336.4470
title: PalLoc6D - Estimating the Pose of a Euro Pallet with an RGB Camera based on Synthetic Training Data

description: PalLoc6D contains 50 000 synthetically generated images of a photorealistic pallet in a domain-radomized environment. PalLoc6D includes annotations of the pallets' 6D pose. The data was created using the NVIDIA Dataset Synthesizer (NDDS, https://github.com/NVIDIA/Dataset_Synthesizer). Additionally, a photorealistic 3D model of a Euro pallet is provided. PalLoc6D can be used to train neural networks for RGB camera-based 6D pallet pose estimation, such as Nvidia's "Deep Object Pose Estimation" (DOPE, https://github.com/NVlabs/Deep_Object_Pose). Furthermore, the weights of the DOPE algorithm, trained with the annotated images are included in PalLoc6D to allow a quick start for experimenting with 6D pose estimation. PalLoc6D was published as part of the paper "Estimating the Pose of a Euro Pallet with an RGB Camera based on Synthetic Training Data", which was presented at the WGTL Fachkolloquium 2022 in Bremen and will be subsequently published in the Logistics Journal. The purpose, creation, and validation of the dataset are further elaborated in the publication. Paper abstract: "Estimating the pose of a pallet and other logistics objects is crucial for various use cases, such as automatized material handling or tracking. Innovations in computer vision, computing power, and machine learning open up new opportunities for device-free localization based on cameras and neural networks. Large image datasets with annotated poses are required for training the network. Manual annotation, especially of 6D poses, is an extremely labor-intensive process. Hence, newer approaches often leverage synthetic training data to automatize the process of generating annotated image datasets. In this work, the generation of synthetic training data for 6D pose estimation of pallets is presented. The data is then used to train the Deep Object Pose Estimation (DOPE) algorithm. The experimental validation of the algorithm proves that the 6D pose estimation of a standardized Euro pallet with a Red-Green-Blue (RGB) camera is feasible. The comparison of the results from three varying datasets under different lighting conditions shows the relevance of an appropriate dataset design to achieve an accurate and robust localization. The quantitative evaluation shows an average position error of less than 20 cm for the preferred dataset. The validated training dataset and a photorealistic model of a Euro pallet are publicly provided."
DOI: 10.6084/m9.figshare.20787691
title: adj+adv data.xlsx

description: adj+adv data.xlsx contains the results of comparisons with Google 1-gram dataset. Column 1,6: Adjective/Adverb word Column 2: The number of the word occurred in the 20 projects Column 3,8: The number of words in the 20 projects Column 4,9: The frequency of the word occurred in the 20 projects Column 5,10: The frequency of the word in Google 1-gram dataset
DOI: 10.6084/m9.figshare.20787691.v1
title: adj+adv data.xlsx

description: adj+adv data.xlsx contains the results of comparisons with Google 1-gram dataset. Column 1,6: Adjective/Adverb word Column 2: The number of the word occurred in the 20 projects Column 3,8: The number of words in the 20 projects Column 4,9: The frequency of the word occurred in the 20 projects Column 5,10: The frequency of the word in Google 1-gram dataset
DOI: 10.25574/61001
title: Chandra X-ray Observatory ObsId 61001
DOI: 10.25574/61002
title: Chandra X-ray Observatory ObsId 61002
DOI: 10.25574/61004
title: Chandra X-ray Observatory ObsId 61004
DOI: 10.25574/61005
title: Chandra X-ray Observatory ObsId 61005
DOI: 10.25574/61006
title: Chandra X-ray Observatory ObsId 61006
DOI: 10.25574/61007
title: Chandra X-ray Observatory ObsId 61007
DOI: 10.25574/61009
title: Chandra X-ray Observatory ObsId 61009
DOI: 10.25574/61011
title: Chandra X-ray Observatory ObsId 61011
DOI: 10.25574/61012
title: Chandra X-ray Observatory ObsId 61012
DOI: 10.25574/61015
title: Chandra X-ray Observatory ObsId 61015
DOI: 10.25574/61017
title: Chandra X-ray Observatory ObsId 61017
DOI: 10.25574/61019
title: Chandra X-ray Observatory ObsId 61019
DOI: 10.25574/61021
title: Chandra X-ray Observatory ObsId 61021
DOI: 10.25574/61022
title: Chandra X-ray Observatory ObsId 61022
DOI: 10.25574/61026
title: Chandra X-ray Observatory ObsId 61026
DOI: 10.25574/61027
title: Chandra X-ray Observatory ObsId 61027
DOI: 10.25574/61028
title: Chandra X-ray Observatory ObsId 61028
DOI: 10.25574/61029
title: Chandra X-ray Observatory ObsId 61029
DOI: 10.25574/61031
title: Chandra X-ray Observatory ObsId 61031
DOI: 10.25574/61033
title: Chandra X-ray Observatory ObsId 61033
DOI: 10.25574/61036
title: Chandra X-ray Observatory ObsId 61036
DOI: 10.25574/61038
title: Chandra X-ray Observatory ObsId 61038
DOI: 10.25574/61040
title: Chandra X-ray Observatory ObsId 61040
DOI: 10.25574/61047
title: Chandra X-ray Observatory ObsId 61047
DOI: 10.25574/61049
title: Chandra X-ray Observatory ObsId 61049
DOI: 10.25574/61051
title: Chandra X-ray Observatory ObsId 61051
DOI: 10.25574/61052
title: Chandra X-ray Observatory ObsId 61052
DOI: 10.25574/61054
title: Chandra X-ray Observatory ObsId 61054
DOI: 10.25574/61056
title: Chandra X-ray Observatory ObsId 61056
DOI: 10.25574/61057
title: Chandra X-ray Observatory ObsId 61057
DOI: 10.25574/61058
title: Chandra X-ray Observatory ObsId 61058
DOI: 10.25574/61072
title: Chandra X-ray Observatory ObsId 61072
DOI: 10.25574/61073
title: Chandra X-ray Observatory ObsId 61073
DOI: 10.25574/61077
title: Chandra X-ray Observatory ObsId 61077
DOI: 10.25574/61079
title: Chandra X-ray Observatory ObsId 61079
DOI: 10.25574/61080
title: Chandra X-ray Observatory ObsId 61080
DOI: 10.25574/61081
title: Chandra X-ray Observatory ObsId 61081
DOI: 10.25574/61083
title: Chandra X-ray Observatory ObsId 61083
DOI: 10.25574/61087
title: Chandra X-ray Observatory ObsId 61087
DOI: 10.25574/61089
title: Chandra X-ray Observatory ObsId 61089