cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2fckyb
title: CCDC 2245452: Experimental Crystal Structure Determination

description: Related Article: Ioan Stroia, Mădălina Elena Moisă, Alexandra Pop, Baptiste Legrand, Anamaria Hanganu, Niculina Daniela Hădade, Ion Grosu|2023|J.Org.Chem.|88|15647|doi:10.1021/acs.joc.3c01631
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: 10.21227/zrq0-xm93
title: LiDAR dataset for object localization

description: Object tracking systems within closed environments employ light detection and ranging (LiDAR) to address privacy and confidentiality. Data collection occurred in two distinct scenarios. The goal of scenario one is to detect the locations of multiple objects from various locations on a flat surface in a closed environment. The second scenario describes the effectiveness of the technique in detecting multiple objects by using LiDAR data obtained from a single, fixed location. In real-time experiments, human subjects navigate predefined paths while LiDAR is positioned centrally to track their locations. The focus of the second scenario's data collection was a strategically placed LiDAR that can proficiently detect moving objects in its vicinity. These dual scenarios were chosen strategically to ensure a well-rounded and diverse dataset that encompasses a broad spectrum of relevant information. The resulting dataset, enriched by the insights from both scenarios, forms a robust foundation for the comparison of different regression techniques for predicting bounding box coordinates for object localization. These findings pave the way for the extension of various real-time applications, including crowd management in malls, surveillance systems, and diverse Internet of Things scenarios.
DOI: 10.5281/zenodo.10250585
title: Simulated query reads used for benchmarks in Metabuli publication.

description: Simulated query reads used for synthetic benchmarks in Metabuli publication.
Prokaryote Subspecies Inclusion Test

Illumina paired-end short reads

Simulated using Mason2 based on NovaSeq 6000's error rates.
prokaryote_inclusion_reads_1.fna.gz
prokaryote_inclusion_reads_2.fna.gz
PacBio HiFi long reads (Sequel II CCS)

Multi-pass reads were simulated using PBSIM3 based on Sequel Il's error profile.
CCS reads were generated using PacBio's CCS-read tool.
prokaryote_inclusion_sequel_ccs.fq.gz
PacBio Sequel II long reads

Simulated using PBSIM3 based on Sequel Il's error profile.
prokaryote_inclusion_sequel.fq.gz
ONT long reads

Simulated using PBSIM3 based on ONT's error profile.
prokaryote_inclusion_ont.fq.gz
Prokaryote Subspecies exclusion Test

Illumina paired-end short reads

Simulated using Mason2 based on NovaSeq 6000's error rates.
prokaryote_ss-exclusion_reads_1.fna.gz
prokaryote_ss-exclusion_reads_2.fna.gz
PacBio HiFi long reads (Sequel II CCS)

Multi-pass reads were simulated using PBSIM3 based on Sequel Il's error profile.
CCS reads were generated using PacBio's CCS-read tool.
prokaryote_ss-exclusion_sequel_ccs.fq.gz
PacBio Sequel II long reads

Simulated using PBSIM3 based on Sequel Il's error profile.
prokaryote_ss-exclusion_sequel.fq.gz
ONT long reads

Simulated using PBSIM3 based on ONT's error profile.
prokaryote_ss-exclusion_ont.fq.gz
Prokaryote Species Exclusion Test

Illumina paired-end short reads

Simulated using Mason2 based on NovaSeq 6000's error rates.
prokaryote_exclusion_reads_1.fna.gz
prokaryote_exclusion_reads_2.fna.gz
PacBio HiFi long reads (Sequel II CCS)

Multi-pass reads were simulated using PBSIM3 based on Sequel Il's error profile.
CCS reads were generated using PacBio's CCS-read tool.
prokaryote_sp-exclusion_sequel_ccs.fq.gz
PacBio Sequel II long reads

Simulated using PBSIM3 based on Sequel Il's error profile.
prokaryote_sp-exclusion_sequel.fq.gz
ONT long reads

Simulated using PBSIM3 based on ONT's error profile.
prokaryote_exclusion_ont.fq.gz
DOI: 10.5281/zenodo.8084521
title: Simulated query reads used for benchmarks in Metabuli publication.

description: Simulated query reads used for synthetic benchmarks in Metabuli publication.
Prokaryote Subspecies Inclusion Test

Illumina paired-end short reads

Simulated using Mason2 based on NovaSeq 6000's error rates.
prokaryote_inclusion_reads_1.fna.gz
prokaryote_inclusion_reads_2.fna.gz
PacBio HiFi long reads (Sequel II CCS)

Multi-pass reads were simulated using PBSIM3 based on Sequel Il's error profile.
CCS reads were generated using PacBio's CCS-read tool.
prokaryote_inclusion_sequel_ccs.fq.gz
PacBio Sequel II long reads

Simulated using PBSIM3 based on Sequel Il's error profile.
prokaryote_inclusion_sequel.fq.gz
ONT long reads

Simulated using PBSIM3 based on ONT's error profile.
prokaryote_inclusion_ont.fq.gz
Prokaryote Subspecies exclusion Test

Illumina paired-end short reads

Simulated using Mason2 based on NovaSeq 6000's error rates.
prokaryote_ss-exclusion_reads_1.fna.gz
prokaryote_ss-exclusion_reads_2.fna.gz
PacBio HiFi long reads (Sequel II CCS)

Multi-pass reads were simulated using PBSIM3 based on Sequel Il's error profile.
CCS reads were generated using PacBio's CCS-read tool.
prokaryote_ss-exclusion_sequel_ccs.fq.gz
PacBio Sequel II long reads

Simulated using PBSIM3 based on Sequel Il's error profile.
prokaryote_ss-exclusion_sequel.fq.gz
ONT long reads

Simulated using PBSIM3 based on ONT's error profile.
prokaryote_ss-exclusion_ont.fq.gz
Prokaryote Species Exclusion Test

Illumina paired-end short reads

Simulated using Mason2 based on NovaSeq 6000's error rates.
prokaryote_exclusion_reads_1.fna.gz
prokaryote_exclusion_reads_2.fna.gz
PacBio HiFi long reads (Sequel II CCS)

Multi-pass reads were simulated using PBSIM3 based on Sequel Il's error profile.
CCS reads were generated using PacBio's CCS-read tool.
prokaryote_sp-exclusion_sequel_ccs.fq.gz
PacBio Sequel II long reads

Simulated using PBSIM3 based on Sequel Il's error profile.
prokaryote_sp-exclusion_sequel.fq.gz
ONT long reads

Simulated using PBSIM3 based on ONT's error profile.
prokaryote_exclusion_ont.fq.gz
DOI: 10.5281/zenodo.8084522
title: Simulated query reads used for benchmarks in Metabuli publication.

description: Simulated query reads used for synthetic benchmarks in Metabuli publication. <strong>Prokaryote Inclusion Test</strong> Paired-end short reads Simulated using Mason2 based on NovaSeq 6000's error rates. prokaryote_inclusion_reads_1.fna.gz prokaryote_inclusion_reads_2.fna.gz Long reads Simulated using PBSIM3 using ONT's error profile prokaryote_inclusion_ont.fq.gz <strong>Prokaryote Exclusion Test</strong> Paired-end short reads Simulated using Mason2 based on NovaSeq 6000's error rates. prokaryote_exclusion_reads_1.fna.gz prokaryote_exclusion_reads_2.fna.gz Long reads Simulated using PBSIM3 using ONT's error profile prokaryote_exclusion_ont.fq.gz
DOI: 10.6084/m9.figshare.24716133
title: 20231203_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24716133.v1
title: 20231203_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.21227/99dz-f923
title: Information Diffusion Dataset on Twitter with User Tweets

description: We looked at 10,269 users on Twitter and collected their tweets and the follower network from April 2019 to October 2019. We organized tweets with the same hashtag into 29,192 cascades. To find an active community, we first selected 500 popular seed users. Subsequently, we added users who followed these seed users to the target group. After adding more users iteratively for five rounds, we locked the target group. The hashtag is considered as the keyword for each cascade. We filter out cascades with less than 2 or more than 500 participants and those inactive users who appear in less than three different cascades. Besides, in this dataset, we only keep the cascades with hashtags longer than five characters, because some long hashtags placed at the end of tweets may be truncated due to the length limit of the Twitter API. In addition, this dataset also discards cascades with a hashtag containing special characters, such as emojis. The Twitter dataset will be made available on IEEE DataPort after the publication of the manuscript.
DOI: 10.6084/m9.figshare.23609244.v2
title: Supplementary file_Le Bourvellec et al..xlsx

description: Supplemental file for a systematic review with meta-analysis.
DOI: 10.6084/m9.figshare.23609244.v3
title: Supplemental material file S2 _Le Bourvellec et al

description: Supplemental file for a systematic review with meta-analysis.
DOI: 10.6084/m9.figshare.23515398
title: SNP dataset in VCF format and SSR dataset for Taxus cuspidata

description: SNP call data for all samples produced by Stacks in VCF format, and SSR dataset in tab-separated format with columns as neutral nuclear microsatellite markers and rows as individual samples as obtained from FlexiBinv2.
DOI: 10.34740/kaggle/dsv/7106596
title: MoviesDatasets
DOI: 10.34740/kaggle/dsv/7106587
title: Mahanagar Yatayat Transport Dataset
DOI: 10.6084/m9.figshare.23609244.v4
title: Supplemental material file S2 _Le Bourvellec et al

description: Supplemental file for a systematic review with meta-analysis.
DOI: 10.5281/zenodo.10250505
title: Patent data with founding years (augmented)
DOI: 10.5281/zenodo.10250504
title: Patent data with founding years (augmented)
DOI: 10.5281/zenodo.10124981
title: Raw data for the article "Synthesis of Fluorescent Cyclic Peptides via Gold(I)-Catalyzed Macrocyclization"

description: Raw NMR, IR, MS fluorescence and imaging  data  for the article "Synthesis of Fluorescent Cyclic Peptides via Gold(I)-Catalyzed Macrocyclization" published in  the Journal of the American Chemical Society, DOI: 
https://doi.org/10.1021/jacs.3c09261
The number of the folders either correspond to compounds numbers in the article or the name of the folder is self-describing. All details concerning conditions and equipment for measurements can be found in the supporting information of the article. For convenience, the word file version of the supporting information can be found on the top of the raw data folder.
DOI: 10.5281/zenodo.10124980
title: Raw data for the article "Synthesis of Fluorescent Cyclic Peptides via Gold(I)-Catalyzed Macrocyclization"

description: Raw NMR, IR, MS fluorescence and imaging  data  for the article "Synthesis of Fluorescent Cyclic Peptides via Gold(I)-Catalyzed Macrocyclization" published in  the Journal of the American Chemical Society, DOI: 
https://doi.org/10.1021/jacs.3c09261
The number of the folders either correspond to compounds numbers in the article or the name of the folder is self-describing. All details concerning conditions and equipment for measurements can be found in the supporting information of the article. For convenience, the word file version of the supporting information can be found on the top of the raw data folder.
DOI: 10.6084/m9.figshare.23609244.v5
title: Supplemental material file S2 _Le Bourvellec et al

description: Supplemental file for a systematic review with meta-analysis.
DOI: 10.6084/m9.figshare.24198110
title: DNA Barcodes for thrips species and development of multiplex real-time PCR assay for <i>Frankliniella occidentalis</i> Pergande, <i>Frankliniella panamensis</i> Hood, <i>Thrips palmi</i> Karny and <i>Thrips tabaci</i> Lindeman (Thysanoptera: Thripidae)

description: Thrips (Order Thysanoptera) species are agriculturally important pests and vectors of plant disease. These tiny insects are commonly found in all life stages on imported commodities at the New Zealand border. Morphological identification of thrips is able to be performed on adults, but the identification keys for immature stages are inadequate and so DNA barcoding is regularly used for their identification. Here, we have generated cytochrome oxidase I (COI) DNA barcode data for 29 thrips species from 124 individuals, focusing on <i>Frankliniella occidentalis,</i> a dominant species intercepted at New Zealand border, followed by <i>F. panamensis</i>, <i>Thrips palmi</i> and <i>T. tabaci</i>. In addition, a multiplex real-time PCR assay has been developed to target the four thrips species. This assay is intended to facilitate the identification of quarantine interceptions with greater accuracy and faster diagnostic turnaround times, regardless of the developmental stages of the thrips. The developed assay demonstrated a high level of specificity for all the four target species and could detect as few as 10 copies/µL of the target DNA. Linear responses and high correlation coefficients between the amount of DNA and <i>Cq</i> values for each species were also achieved. The method was successfully tested on single egg, larva and adult samples and proved to be applicable for all life stages of the four species. Overall, this study has shown that the developed assay is an effective biosecurity tool for rapid and reliable identification of the target thrips species.
DOI: 10.6084/m9.figshare.24198110.v1
title: DNA Barcodes for thrips species and development of multiplex real-time PCR assay for <i>Frankliniella occidentalis</i> Pergande, <i>Frankliniella panamensis</i> Hood, <i>Thrips palmi</i> Karny and <i>Thrips tabaci</i> Lindeman (Thysanoptera: Thripidae)

description: Thrips (Order Thysanoptera) species are agriculturally important pests and vectors of plant disease. These tiny insects are commonly found in all life stages on imported commodities at the New Zealand border. Morphological identification of thrips is able to be performed on adults, but the identification keys for immature stages are inadequate and so DNA barcoding is regularly used for their identification. Here, we have generated cytochrome oxidase I (COI) DNA barcode data for 29 thrips species from 124 individuals, focusing on <i>Frankliniella occidentalis,</i> a dominant species intercepted at New Zealand border, followed by <i>F. panamensis</i>, <i>Thrips palmi</i> and <i>T. tabaci</i>. In addition, a multiplex real-time PCR assay has been developed to target the four thrips species. This assay is intended to facilitate the identification of quarantine interceptions with greater accuracy and faster diagnostic turnaround times, regardless of the developmental stages of the thrips. The developed assay demonstrated a high level of specificity for all the four target species and could detect as few as 10 copies/µL of the target DNA. Linear responses and high correlation coefficients between the amount of DNA and <i>Cq</i> values for each species were also achieved. The method was successfully tested on single egg, larva and adult samples and proved to be applicable for all life stages of the four species. Overall, this study has shown that the developed assay is an effective biosecurity tool for rapid and reliable identification of the target thrips species.
DOI: 10.6084/m9.figshare.23609244
title: Supplemental material file S2 _Le Bourvellec et al.xlsx

description: Supplemental file for a systematic review with meta-analysis.
DOI: 10.6084/m9.figshare.23609244.v7
title: Supplemental material file S2 _Le Bourvellec et al.xlsx

description: Supplemental file for a systematic review with meta-analysis.
DOI: 10.6084/m9.figshare.23609244.v6
title: Supplemental material file S2 _Le Bourvellec et al.xlsx

description: Supplemental file for a systematic review with meta-analysis.
DOI: 10.21979/n9/dmj3u5
title: Updated lecture notes

description: Updated lecture notes
DOI: 10.26036/cnp0000687
title: human oral metagenomic assembly

description: Over 50000 metagenomically assembled draft genomes for the human oral microbiome reveal new species.
DOI: 10.34683/sr2254
title: StoneRounds Case: SR2254
title: Retinoblastoma

description: StoneRounds Case SR2254 was diagnosed with Retinoblastoma likely caused by mutations in the gene: RB1.
DOI: 10.6084/m9.figshare.24212226
title: Lipidomics raw dataset of GPR156

description: ZIP archive containing raw LC-MS data of GPR156
DOI: 10.6084/m9.figshare.24212226.v1
title: Lipidomics raw dataset of GPR156

description: ZIP archive containing raw LC-MS data of GPR156
DOI: 10.5281/zenodo.10251445
title: Diritto e musica in una prospettiva storica
DOI: 10.5281/zenodo.10251446
title: Diritto e musica in una prospettiva storica
DOI: 10.6084/m9.figshare.24715752.v1
title: The influence of gas‒solid injector structural parameters on injection performance

description: A gas‒solid injector acts as a power source in a pneumatic conveying system, and its structural parameters have a great influence on the injection and conveying performance of the system. This study uses a pure flow field experiment bed, a particle pneumatic injection experiment bed, and CFD‒DEM coupling simulation technology, as well as a gas‒solid injection experiment and gas‒solid coupling simulation datasets of gas‒solid injectors under four different particle mass flow rates, to present a pure flow field injection experiment and pure flow field simulation datasets of gas‒solid injectors with different structural parameters in the absence of particles. We evaluate the injection performance of gas‒solid injectors through the injection ratio, average pressure, transport time, conveying ratio, energy increasing ratio, and total energy consumption ratio. This dataset has great value for engineers and designers, providing a reference for designing gas‒solid injectors and other pneumatic conveying devices.
DOI: 10.5281/zenodo.10209860
title: Geophysical datasets used in the paper: Looking for subsurface features: the role of geophysical research in the revitalisation of the palace and park complex in Rzuchów, Poland

description: Datasets are related to the paper entitled: Looking for subsurface features: the role of geophysical research in the revitalisation of the palace and park complex in Rzuchów, Poland
This paper discusses the significance of geophysical research in the context of historical renewal, emphasising its contributions to risk assessment, sustainable redevelopment, and non-uniqueness in geophysical interpretation. The studies were conducted in the surroundings of the Palace of Rzuchów, and they were aimed at locating the modern infrastructure, historical objects, and other environmental elements that either can threaten the renewal process or add value to the historical heritage. We used four geophysical methods to study the palace surroundings: frequency domain electromagnetics, electrical resistivity tomography, proton magnetometry and seismic. Results indicated that the electrical methods are the most predisposed.
DOI: 10.34740/kaggle/dsv/7107120
title: High School Alcoholism and Academic Performance
DOI: 10.5519/qd.snqrqs1y
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (164 records)
DOI: 10.5281/zenodo.10251487
title: Dataset for 'DEM modelling of controlled drug release of push-pull osmotic pump tablets'

description: This dataset contains both numerical simulation data and experimental data describing the drug release performance of push-pull osmotic pump tablets. Detailed study on the swelling behaviour is presented in a journal paper entitled "DEM modelling of controlled drug release of push-pull osmotic pump tablets ". We provide all the essential data in a single excel file with the description below:
Fig. 4 Comparison of drug release profiles obtained from experiment and DEM simulation.
Fig. 6 Typical drug release profiles for PPOP tablets obtained numerically.
Fig. 7 Drug release profiles for PPOP tablets with different orifice sizes.
Fig. 8 The average release rate for (a) the burst release phase and (b) the slow-release phase with different orifice sizes.
Fig. 11 Evolutions of (a) mass of drug release and (b) accumulative drug release percentage for PPOP tablets with different the ratios of drug particle number to polymer particle number.
Fig. 12 The average release rate for (a) the burst release phase and (b) the slow release phase with different the ratios of drug particle number to polymer particle number.
Fig. 14 Drug release profiles for PPOP tablets with different surface curvatures.
Fig. 15. The average release rates for (a) the burst release phase and (b) the slow-release phase with different surface curvatures.
Fig. 16. Drug release profiles for PPOP tablets with different coefficients of friction.
Fig. 18. The average release rate for the burst release and slow-release phases with different coefficients of friction.
Fig. 19 Drug release profiles for PPOP tablets with different surface energies between polymer particles.
Fig. 21 The average release rate for (a) the burst release and (b) the slow-release phases with different surface energies between polymer particles.
DOI: 10.5281/zenodo.10251488
title: Dataset for 'DEM modelling of controlled drug release of push-pull osmotic pump tablets'

description: This dataset contains both numerical simulation data and experimental data describing the drug release performance of push-pull osmotic pump tablets. Detailed study on the swelling behaviour is presented in a journal paper entitled "DEM modelling of controlled drug release of push-pull osmotic pump tablets ". We provide all the essential data in a single excel file with the description below:
Fig. 4 Comparison of drug release profiles obtained from experiment and DEM simulation.
Fig. 6 Typical drug release profiles for PPOP tablets obtained numerically.
Fig. 7 Drug release profiles for PPOP tablets with different orifice sizes.
Fig. 8 The average release rate for (a) the burst release phase and (b) the slow-release phase with different orifice sizes.
Fig. 11 Evolutions of (a) mass of drug release and (b) accumulative drug release percentage for PPOP tablets with different the ratios of drug particle number to polymer particle number.
Fig. 12 The average release rate for (a) the burst release phase and (b) the slow release phase with different the ratios of drug particle number to polymer particle number.
Fig. 14 Drug release profiles for PPOP tablets with different surface curvatures.
Fig. 15. The average release rates for (a) the burst release phase and (b) the slow-release phase with different surface curvatures.
Fig. 16. Drug release profiles for PPOP tablets with different coefficients of friction.
Fig. 18. The average release rate for the burst release and slow-release phases with different coefficients of friction.
Fig. 19 Drug release profiles for PPOP tablets with different surface energies between polymer particles.
Fig. 21 The average release rate for (a) the burst release and (b) the slow-release phases with different surface energies between polymer particles.
DOI: 10.5519/qd.cv4h7k3x
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (29238 records)
DOI: 10.6084/m9.figshare.24716313
title: Data Files

description: Data Files for: Single-sided magnetic resonance-based sensor for clinical detection of muscle