cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/bx9e-2b60
title: Model Parameters for Glucose Regulatory Measure (GRM)

description: This dataset contains parameter values of the model presented by the manuscript titled "Model-Based Extraction of T2D Diagnostic Information from Continuous Glucose Monitoring". The parameters are obtained by first extracting hyperglycemic excursions, i.e. peaks, from continuous glucose data. A simple mathematical model describing glucose homeostasis is fitted to each peak, resulting in a collection of model parameters for each peak. Each file in this dataset contains the parameter values for all extracted peaks for each individual, stored as a YAML file that can be read by large variety of programming languages. The data stored within the YAML files serve as the training and testing data used to tune and validate the accuracy of the Glucose Regulatory Measure (GRM) presented in the same manuscript.
DOI: 10.25345/c5c824q7w
title: MassIVE MSV000091881 - Formation and interaction network of a constructed microbial community in a nutrient-rich environment
title: Understanding the organizational principles of microbial communities is essential for interpreting ecosystem stability. Previous studies have investigated the formation of bacterial communities under nutrient-poor conditions or obligate relationships to observe cooperative interactions among different species. How microorganisms form stabilized communities in nutrient-rich environments, without obligate metabolic interdependency, is still not fully disclosed. In this study, three bacterial strains isolated from the Populus deltoides rhizosphere were cocultured in complex medium and their growth behavior tracked. These strains coexist in mixed culture over serial transfer for 6 growth-dilution cycles. Competition is proposed as an emergent interaction relationship among the three bacteria based on their significantly decreased growth levels. The effects of different initial inoculum ratios, up to three orders of magnitude, on community structure were investigated, and the final compositions of the mixed communities with various starting composition indicate that community structure is not dependent on the initial inoculum ratio . Further, the growth behavior and the competitive relationships within the community was not altered by different initial inoculum ratios. The community structure was simulated by generalized Lotka-Volterra and dynamic flux balance analysis to provide mechanistic insights into emergence of community structure under nutrient-rich environment. Metaproteomic analyses provide support for the abundance of metabolic interactions predicted by computational modeling. These findings broaden our understanding of bacterial community dynamics and metabolic diversity in higher order interactions, and could be significant in the management of rhizospheric bacterial communities.
DOI: 10.5066/p97yw2ul
title: Ground Penetrating Radar and Global Positioning System Data Collected in 2021 From Fire Island, New York

description: In 2016, the U.S. Geological Survey (USGS) conducted ground penetrating radar (GPR) surveys and sediment sampling at Fire Island, New York to characterize and quantify spatial variability in the subaerial geology (Forde and others, 2018). These surveys, in combination with historical data, allowed for a preliminary reconstruction of the barriers long-term evolution. In 2021, scientists from the USGS New York Water Science Center (NYWSC), on behalf of the USGS St. Petersburg Coastal and Marine Science Center (SPCMSC), conducted additional GPR and sediment sampling surveys at Point O' Woods and Ho-Hum Beach to fill in gaps in the timeline of Fire Islands development and illuminate relationships between different geomorphic structures observed along the island. This data release serves as an archive of GPR and post-processed global positioning system (GPS) data collected from beach and back-barrier environments on Fire Island, March 29-April 3, 2021 (USGS Field Activity Number 2021-312-FA). These data can be used to map shallow subsurface sediments such as erosional surfaces or washover deposits and can also be used to image deeper stratigraphic features that may aid in linking terrestrial geology to nearshore and offshore geologic features. The 2021 datasets will be used to calibrate a model of barrier island development, quantifying historic sediment fluxes within the Fire Island system. Data acquisition and processing methods are described in USGS Data Series 1078. Forde, A.S., Bernier, J.C., and Miselis, J.L., 2018, Ground penetrating radar and differential global positioning system data collected in April 2016 from Fire Island, New York: U.S. Geological Survey Data Series 1078, https://doi.org/10.3133/ds1078.
DOI: 10.5281/zenodo.7265418
title: Lab513/Optogenetic control of beta-carotene bioproduction in yeast across multiple lab-scales

description: Dataset related to the article : S. Pouzet et al., Optogenetic control of beta-carotene bioproduction in yeast across multiple lab-scales, 2022. See also the article on BioRXiv : https://www.biorxiv.org/content/10.1101/2022.10.31.514479v1 See also the GitHub repository : https://github.com/Lab513/DIY_Optogenetics
description: Dataset used to produce figures and analysis in the article " S. Pouzet et al, Optogenetic control of beta-carotene bioproduction in yeast across multiple lab-scales, 2022".
DOI: 10.5281/zenodo.7265419
title: Lab513/Optogenetic control of beta-carotene bioproduction in yeast across multiple lab-scales

description: Dataset related to the article : S. Pouzet et al., Optogenetic control of beta-carotene bioproduction in yeast across multiple lab-scales, 2022. See also the article on BioRXiv : https://www.biorxiv.org/content/10.1101/2022.10.31.514479v1 See also the GitHub repository : https://github.com/Lab513/DIY_Optogenetics
description: Dataset used to produce figures and analysis in the article " S. Pouzet et al, Optogenetic control of beta-carotene bioproduction in yeast across multiple lab-scales, 2022".
DOI: 10.25345/c57h1dx47
title: MassIVE MSV000091882 - Anamu (PETIVERIA ALLIACEAE) negativo HPLC-QTOF-MS
title: Caracetizacion de Anamu mediante HPLC-QTOF en modo negativo
DOI: 10.5281/zenodo.7908615
title: Table S1

description: Values of the variables included in the resulting DFA model.
DOI: 10.5281/zenodo.7908616
title: Table S1

description: Values of the variables included in the resulting DFA model.
DOI: 10.5281/zenodo.7908625
title: Table S1

description: Values of the variables included in the resulting DFA model.
DOI: 10.7910/dvn/xzntd8
title: Multiple Participatory Delphi Panels from Health-related careers in Universidad San Francisco de Quito

description: The dataset presented provides valuable insights into the challenges faced by students in health-related programs during e-learning COVID-19 pandemic at the Global South. The methodology covers various aspects of e-learning, including virtual simulators, adaptability of learners and teachers, mental health, and time management. The purpose of this dataset is intended to enhance the understanding of managing learning systems in higher education and to be used by academia and governmental agencies in their decision-making processes to improve education, motivate curricula reforms, develop academic strategies, and acquire student-based needs learning tools. Moreover, the data process serves as an accessible learning tool for students interested in research, motivating them to replicate the methodology applied to their needs.
DOI: 10.5281/zenodo.7901521
title: Dataset from: Isolation and Phase-Space Energization Analysis of the Instabilities in Collisionless Shocks

description: We analyze the generation of kinetic instabilities and their effect on the energiza-<br> tion of ions in non-relativistic, oblique collisionless shocks using a 3D-3V simulation<br> by dHybridR, a hybrid particle-in-cell code. At sufficiently high Mach number, quasi-<br> perpendicular and oblique shocks can experience rippling of the shock surface caused by<br> kinetic instabilities arising from free energy in the ion velocity distribution due to the<br> combination of the incoming ion beam and the population of ions reflected at the shock<br> front. To understand the role of the ripple on particle energization, we devise the new<br> instability isolation method to identify the unstable modes underlying the ripple and<br> interpret the results in terms of the governing kinetic instability. We generate velocity-<br> space signatures using the field-particle correlation technique to look at energy transfer in<br> phase space from the isolated instability driving the shock ripple, providing a viewpoint<br> on the different dynamics of distinct populations of ions in phase space. We generate<br> velocity-space signatures of the energy transfer in phase space of the isolated instability<br> driving the shock ripple using the field-particle correlation technique. Together, the<br> field-particle correlation technique and our new instability isolation method provide a<br> unique viewpoint on the different dynamics of distinct populations of ions in phase space<br> and allow us to completely characterize the energetics of the collisionless shock under<br> investigation.
DOI: 10.5281/zenodo.7901520
title: Dataset from: Isolation and Phase-Space Energization Analysis of the Instabilities in Collisionless Shocks

description: We analyze the generation of kinetic instabilities and their effect on the energiza-<br> tion of ions in non-relativistic, oblique collisionless shocks using a 3D-3V simulation<br> by dHybridR, a hybrid particle-in-cell code. At sufficiently high Mach number, quasi-<br> perpendicular and oblique shocks can experience rippling of the shock surface caused by<br> kinetic instabilities arising from free energy in the ion velocity distribution due to the<br> combination of the incoming ion beam and the population of ions reflected at the shock<br> front. To understand the role of the ripple on particle energization, we devise the new<br> instability isolation method to identify the unstable modes underlying the ripple and<br> interpret the results in terms of the governing kinetic instability. We generate velocity-<br> space signatures using the field-particle correlation technique to look at energy transfer in<br> phase space from the isolated instability driving the shock ripple, providing a viewpoint<br> on the different dynamics of distinct populations of ions in phase space. We generate<br> velocity-space signatures of the energy transfer in phase space of the isolated instability<br> driving the shock ripple using the field-particle correlation technique. Together, the<br> field-particle correlation technique and our new instability isolation method provide a<br> unique viewpoint on the different dynamics of distinct populations of ions in phase space<br> and allow us to completely characterize the energetics of the collisionless shock under<br> investigation.
DOI: 10.25345/c53t9dh19
title: MassIVE MSV000091883 - GNPS - Bioactive molecular networking for sulfonolipids - MZmine Processing for FBMN
title: This dataset contains the raw data used for MZmine processing and Feature-based molecular networking of semi-purified fractions obtained from A. timonensis used for bioactive molecular networking to reveal contribution of sulfonolipids to observed biological activity.
DOI: 10.6084/m9.figshare.22637356
title: Supplementary Table 4.1

description: <strong>Supplementary Table 4.1</strong>. Information of all genomes included in the initial analysis, both from the database and sequenced in this project (SKPCV and NLSAR). This table contains information about the accession and biosample numbers, quality control statistics, such as the number of reads, taxonomy assignment by Kraken and assembly quality, heterozygous positions, mash distances and the Kleborate results.
DOI: 10.6084/m9.figshare.22637356.v1
title: Supplementary Table 4.1

description: <strong>Supplementary Table 4.1</strong>. Information of all genomes included in the initial analysis, both from the database and sequenced in this project (SKPCV and NLSAR). This table contains information about the accession and biosample numbers, quality control statistics, such as the number of reads, taxonomy assignment by Kraken and assembly quality, heterozygous positions, mash distances and the Kleborate results.
DOI: 10.6084/m9.figshare.22639348
title: Supplementary Tables 6.1 - 6.8

description: <strong>Supplementary Table 6.1.</strong> Clinical information of the isolates collected and sequenced in this study. The table includes patient data such as gender, age, the strain collection date, and the antimicrobial resistance profile for the antibiotics tested. <strong>Supplementary Table 6.2.</strong> Genome information of the sequenced isolates, including assembly statistics, carbapenem resistance group, sequence type, capsular type, antimicrobial resistance, and virulence genes. This table includes the accession number of the raw data at SRA. <strong>Supplementary Table 6.3.</strong> Genome information and metadata for the GenBank Spanish genomes used in this study. It includes information about the isolation source, location, and collection year. <strong>Supplementary Table 6.4.</strong> Number of gene families included in each core genome and alignment length used to derive the ML phylogenetic trees. <strong>Supplementary Table 6.5.</strong> Number of SNPs found in ST11, within and between lineages. <strong>Supplementary Table 6.6.</strong> Number of SNPs found in ST101, within and between lineages. <strong>Supplementary Table 6.7. </strong>Number of SNPs found in ST437, within and between lineages. <strong>Supplementary Table 6.8.</strong> Number of SNPs found in ST307, within and between lineages.
DOI: 10.6084/m9.figshare.22639348.v1
title: Supplementary Tables 6.1 - 6.8

description: <strong>Supplementary Table 6.1.</strong> Clinical information of the isolates collected and sequenced in this study. The table includes patient data such as gender, age, the strain collection date, and the antimicrobial resistance profile for the antibiotics tested. <strong>Supplementary Table 6.2.</strong> Genome information of the sequenced isolates, including assembly statistics, carbapenem resistance group, sequence type, capsular type, antimicrobial resistance, and virulence genes. This table includes the accession number of the raw data at SRA. <strong>Supplementary Table 6.3.</strong> Genome information and metadata for the GenBank Spanish genomes used in this study. It includes information about the isolation source, location, and collection year. <strong>Supplementary Table 6.4.</strong> Number of gene families included in each core genome and alignment length used to derive the ML phylogenetic trees. <strong>Supplementary Table 6.5.</strong> Number of SNPs found in ST11, within and between lineages. <strong>Supplementary Table 6.6.</strong> Number of SNPs found in ST101, within and between lineages. <strong>Supplementary Table 6.7. </strong>Number of SNPs found in ST437, within and between lineages. <strong>Supplementary Table 6.8.</strong> Number of SNPs found in ST307, within and between lineages.
DOI: 10.6084/m9.figshare.22639351
title: Supplementary Tables 7.1 - 7.9

description: <strong>Supplementary Table 7.1.</strong> Carbapenemase-producing tests used to detect colonization at patient admission. <strong>Supplementary Table 7.2. </strong>BLAST similarity search results for the repA gene in p146KP-NDM3. <strong>Supplementary Table 7.3. </strong>Summary of BLAST similarity search results for p146KP-NDM3 backbone (region 1 - 12175 + region 73023 - 97321). Only sequences with a query coverage above 90% are reported. <strong>Supplementary Table 7.4. </strong>BLAST similarity search results for p146KP-NDM3 Class 1 integron carrying blaNDM-23 (region 34416-44583). Only sequences with a query coverage above 85% are reported. <strong>Supplementary Table 7.5. </strong>Lists of isolates and database genomes included in this study. Accession number, bioproject, biosample, strain name, centre name, country, isolation date and genetic relevant information as virulence and resistance genes are reported. <strong>Supplementary Table 7.6.</strong> Main features of phages detected by PHASTER in isolate 146KP-HG. Intact phages were removed from the complete genome alignment for phylogenetic analyses. <strong>Supplementary Table 7.7. </strong>Mapping statistics of reads aligned to 146KP-HG isolate chromosome. Reference length, number of aligned positions to the reference, coverage, number of unaligned positions, heterozygous, and low-depth positions. <strong>Supplementary Table 7.8. </strong>Pairwise distance matrix based on the number of differences obtained from the whole genome alignment (5.3 Mb). <strong>Supplementary Table 7.9. </strong>Coverage of plasmids found in 146KP-HG isolate for each genome and number of CDS found in the remaining accessory genome.
DOI: 10.6084/m9.figshare.22639351.v1
title: Supplementary Tables 7.1 - 7.9

description: <strong>Supplementary Table 7.1.</strong> Carbapenemase-producing tests used to detect colonization at patient admission. <strong>Supplementary Table 7.2. </strong>BLAST similarity search results for the repA gene in p146KP-NDM3. <strong>Supplementary Table 7.3. </strong>Summary of BLAST similarity search results for p146KP-NDM3 backbone (region 1 - 12175 + region 73023 - 97321). Only sequences with a query coverage above 90% are reported. <strong>Supplementary Table 7.4. </strong>BLAST similarity search results for p146KP-NDM3 Class 1 integron carrying blaNDM-23 (region 34416-44583). Only sequences with a query coverage above 85% are reported. <strong>Supplementary Table 7.5. </strong>Lists of isolates and database genomes included in this study. Accession number, bioproject, biosample, strain name, centre name, country, isolation date and genetic relevant information as virulence and resistance genes are reported. <strong>Supplementary Table 7.6.</strong> Main features of phages detected by PHASTER in isolate 146KP-HG. Intact phages were removed from the complete genome alignment for phylogenetic analyses. <strong>Supplementary Table 7.7. </strong>Mapping statistics of reads aligned to 146KP-HG isolate chromosome. Reference length, number of aligned positions to the reference, coverage, number of unaligned positions, heterozygous, and low-depth positions. <strong>Supplementary Table 7.8. </strong>Pairwise distance matrix based on the number of differences obtained from the whole genome alignment (5.3 Mb). <strong>Supplementary Table 7.9. </strong>Coverage of plasmids found in 146KP-HG isolate for each genome and number of CDS found in the remaining accessory genome.
DOI: 10.5281/zenodo.7908650
title: Suplementary Material

description: Supplementary Material includes Table S1 and Audio S1, S2, S3 and S4. Table S1 shows values of the variables included in the resulting DFA model. Audio S1-S4 represent hissing call from individual male Black grouse from four countries.
DOI: 10.5281/zenodo.7908649
title: Suplementary Material

description: Supplementary Material includes Table S1 and Audio S1, S2, S3 and S4. Table S1 shows values of the variables included in the resulting DFA model. Audio S1-S4 represent hissing call from individual male Black grouse from four countries.
DOI: 10.6084/m9.figshare.22779971
title: Supplementary Tables 5.3 and 5.8

description: <strong>Supplementary Table 5.3. </strong>Genomic and clinical information of the 1604 isolates collected during the SKPCV. <strong>Supplementary Table 5.8. </strong>Possible Transmission groups including at least 1 SKPCV isolate.
DOI: 10.6084/m9.figshare.22779971.v1
title: Supplementary Tables 5.3 and 5.8

description: <strong>Supplementary Table 5.3. </strong>Genomic and clinical information of the 1604 isolates collected during the SKPCV. <strong>Supplementary Table 5.8. </strong>Possible Transmission groups including at least 1 SKPCV isolate.
DOI: 10.5281/zenodo.7148513
title: Co-seismic slip of the 18 April 2021 Mw 5.9 Genaveh earthquake in the South Dezful Embayment of Zagros (Iran) and its aftershock sequence

description: This public repository contains INSAR and other processed data for the manuscript : "Co-seismic slip of the 18 April 2021 Mw 5.9 Genaveh earthquake in the South Dezful Embayment of Zagros (Iran) and its aftershock sequence" InSAR unwrapped and geocoded files, for the ascending track A101 and the descending track D35: GDM_Asc101_InU_geo_20210414_20210426_sd_4rlks.tiff GDM_Desc35_InU_geo_20210410_20210422_sd_4rlks.tiff Sampled quadtree data for the ascending and descending data with LOS vector: a101_okinv_input d35_okinv_input Slip distribution model for the fault dipping N and the fault dipping S: SDM_dipN_oksar.dat SDM_dipS_oksar.dat
DOI: 10.5281/zenodo.7148512
title: Co-seismic slip of the 18 April 2021 Mw 5.9 Genaveh earthquake in the South Dezful Embayment of Zagros (Iran) and its aftershock sequence

description: This public repository contains INSAR and other processed data for the manuscript : "Co-seismic slip of the 18 April 2021 Mw 5.9 Genaveh earthquake in the South Dezful Embayment of Zagros (Iran) and its aftershock sequence" InSAR unwrapped and geocoded files, for the ascending track A101 and the descending track D35: GDM_Asc101_InU_geo_20210414_20210426_sd_4rlks.tiff GDM_Desc35_InU_geo_20210410_20210422_sd_4rlks.tiff Sampled quadtree data for the ascending and descending data with LOS vector: a101_okinv_input d35_okinv_input Slip distribution model for the fault dipping N and the fault dipping S: SDM_dipN_oksar.dat SDM_dipS_oksar.dat
DOI: 10.34740/kaggle/dsv/5635081
title: Nigerian Presidential Election 2023 Tweets
DOI: 10.34740/kaggle/dsv/5295854
title: Annotated Apple Leaf Disease Dataset - Mask RCNN
DOI: 10.5281/zenodo.7908064
title: Anonymised Dataset

description: This is an anonymised upload of datasets used in a paper to be submitted to a double-blind peer review.
DOI: 10.5281/zenodo.7908063
title: Anonymised Dataset

description: This is an anonymised upload of datasets used in a paper to be submitted to a double-blind peer review.
DOI: 10.5519/qd.37p94tq9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (13 records)
DOI: 10.6084/m9.figshare.22780013
title: Density of invertebrate taxa found in intertidal <em>Chondrus crispus</em> stands in Nova Scotia, Canada.

description: This file provides the data on the density of invertebrate taxa found in intertidal beds of <em>Chondrus crispus</em> (Rhodophyta, Gigartinales) near Duck Reef (44.4913, -63.5270), on the open Atlantic coast of Nova Scotia, Canada, in 2021.
DOI: 10.6084/m9.figshare.22780013.v1
title: Density of invertebrate taxa found in intertidal <em>Chondrus crispus</em> stands in Nova Scotia, Canada.

description: This file provides the data on the density of invertebrate taxa found in intertidal beds of <em>Chondrus crispus</em> (Rhodophyta, Gigartinales) near Duck Reef (44.4913, -63.5270), on the open Atlantic coast of Nova Scotia, Canada, in 2021.
DOI: 10.5281/zenodo.7908468
title: CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

description: The dataset for CodeSearchNet. See https://github.com/github/CodeSearchNet and https://arxiv.org/abs/1909.09436 for more.
DOI: 10.5281/zenodo.7908467
title: CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

description: The dataset for CodeSearchNet. See https://github.com/github/CodeSearchNet and https://arxiv.org/abs/1909.09436 for more.
DOI: 10.25345/c5028pp9t
title: MassIVE MSV000091884 - GNPS - Bioactive molecular networking for sulfonolipids - MZmine Processing for FBMN
title: This dataset contains the raw data used for MZmine processing and Feature-based molecular networking of semi-purified fractions obtained from A. timonensis used for bioactive molecular networking to reveal contribution of sulfonolipids to observed biological activity.