cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6970067
title: Sentinel-3 NDVI ARD and Long Term Statistics (1999-2019) from the Copernicus Global Land Service over Lombardia

description: Sentinel-3 NDVI Analysis Ready Data (ARD) (C_GLS_NDVI_20220101_20220701_Lombardia_S3_2.nc) product provided by the Copernicus Global Land Service [3]. The file C_GLS_NDVI_20220101_20220701_Lombardia_S3_2_masked.nc is derived from C_GLS_NDVI_20220101_20220701_Lombardia_S3_2.nc but values have been scaled (raw_value * ( 1/250) - 0.08) and values lower then -0.08 and greater than 0.92 have been removed (set to missing values). The original dataset can also be discovered through the OpenEO API[5] from the CGLS distributor VITO [4]. Access is free of charge but an EGI registration is needed. The file called Italy.geojson has been created using the Global Administrative Unit Layers GAUL G2015_2014 provided by FAO-UN (see Documentation). It only contains information related to Italy. Further info about drought indexes can be found in the Integrated Drought Management Programme [5] [1] Application of vegetation index and brightness temperature for drought detection [2] NDVI [3] Copernicus Global Land Service [4] Vito [5] OpenEO [5] Integrated Drought Management
description: These datasets are used for training purposes. See https://pangeo-data.github.io/foss4g-2022/intro.html
DOI: 10.5281/zenodo.6967372
title: Sentinel-3 NDVI ARD and Long Term Statistics (1999-2019) from the Copernicus Global Land Service over Lombardia

description: Sentinel-3 NDVI Analysis Ready Data (ARD) (C_GLS_NDVI_20220101_20220701_Lombardia_S3_2.nc) product provided by the Copernicus Global Land Service [3]. The file C_GLS_NDVI_20220101_20220701_Lombardia_S3_2_masked.nc is derived from C_GLS_NDVI_20220101_20220701_Lombardia_S3_2.nc but values have been scaled (raw_value * ( 1/250) - 0.08) and values lower then -0.08 and greater than 0.92 have been removed (set to missing values). The original dataset can also be discovered through the OpenEO API[5] from the CGLS distributor VITO [4]. Access is free of charge but an EGI registration is needed. The file called Italy.geojson has been created using the Global Administrative Unit Layers GAUL G2015_2014 provided by FAO-UN (see Documentation). It only contains information related to Italy. Further info about drought indexes can be found in the Integrated Drought Management Programme [5] [1] Application of vegetation index and brightness temperature for drought detection [2] NDVI [3] Copernicus Global Land Service [4] Vito [5] OpenEO [5] Integrated Drought Management
description: These datasets are used for training purposes. See https://pangeo-data.github.io/foss4g-2022/intro.html
DOI: 10.5519/qd.ii68tadd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4 records)
DOI: 10.5281/zenodo.6839191
title: Raw EK80 high-frequency echosounder data collected by autonomous sailbuoy in Lofoten/Vesterålen 2018-03-18/2018-04-01

description: 2018-03-18/2018-04-01
DOI: 10.5281/zenodo.6839190
title: Raw EK80 high-frequency echosounder data collected by autonomous sailbuoy in Lofoten/Vesterålen 2018-03-18/2018-04-01

description: 2018-03-18/2018-04-01
DOI: 10.5281/zenodo.6839520
title: Raw EK80 high-frequency echosounder data collected by autonomous sailbuoy in Lofoten/Vesterålen 2018-04-27/2018-05-03

description: 2018-04-27/2018-05-03
DOI: 10.5281/zenodo.6839519
title: Raw EK80 high-frequency echosounder data collected by autonomous sailbuoy in Lofoten/Vesterålen 2018-04-27/2018-05-03

description: 2018-04-27/2018-05-03
DOI: 10.5281/zenodo.6839542
title: Raw EK80 high-frequency echosounder data collected by autonomous sailbuoy in Lofoten/Vesterålen 2018-05-04/2018-05-30

description: 2018-05-04/2018-05-30
DOI: 10.5281/zenodo.6839541
title: Raw EK80 high-frequency echosounder data collected by autonomous sailbuoy in Lofoten/Vesterålen 2018-05-04/2018-05-30

description: 2018-05-04/2018-05-30
DOI: 10.6084/m9.figshare.19158425.v1
title: strain_adsorption_data_GNN.tar.gz

description: Dataset of binary copper alloy strained and DFT relaxed catalyst + adsorbate structures, covering 27 small molecule adsorbates. <br>Data is based on the Open Catalyst Dataset
DOI: 10.6084/m9.figshare.19158425
title: strain_adsorption_data_GNN.tar.gz

description: Dataset of binary copper alloy strained and DFT relaxed catalyst + adsorbate structures, covering 27 small molecule adsorbates. <br>Data is based on the Open Catalyst Dataset
DOI: 10.6084/m9.figshare.19158425.v2
title: strain_adsorption_data_GNN.tar.gz

description: Dataset of binary copper alloy strained and DFT relaxed catalyst + adsorbate structures, covering 27 small molecule adsorbates. <br>Data is based on the Open Catalyst Dataset
DOI: 10.5281/zenodo.6970030
title: STEP CAD models of structural aerospace sheet metal parts

description: This dataset consists of 26 STEP CAD models of aerospace sheet metal parts. The models were used to test a prototype (A) of an automated feature recognition method (B) for aerospace sheet metal part models. When models are used in a work, they can be credited by citing them directly or by citing whichever of the following papers that are relevant. A - A Prototype of an Automated Feature Recognition Algorithm for Aerospace Sheet Metal Parts B - Feature Recognition for Structural Aerospace Sheet Metal Parts
description: {"references": ["S Ghaffarishahri, L Rivest - Feature recognition for structural aerospace sheet metal parts - Computer-Aided Design & Applications, 2020", "S Ghaffarishahri, L Rivest - A Prototype of an Automated Feature Recognition Algorithm for Aerospace Sheet Metal Parts - Computer-Aided Design & Applications, 2022"]}
DOI: 10.5281/zenodo.6970029
title: STEP CAD models of structural aerospace sheet metal parts

description: This dataset consists of 26 STEP CAD models of aerospace sheet metal parts. The models were used to test a prototype (A) of an automated feature recognition method (B) for aerospace sheet metal part models. When models are used in a work, they can be credited by citing them directly or by citing whichever of the following papers that are relevant. A - A Prototype of an Automated Feature Recognition Algorithm for Aerospace Sheet Metal Parts B - Feature Recognition for Structural Aerospace Sheet Metal Parts
description: {"references": ["S Ghaffarishahri, L Rivest - Feature recognition for structural aerospace sheet metal parts - Computer-Aided Design & Applications, 2020", "S Ghaffarishahri, L Rivest - A Prototype of an Automated Feature Recognition Algorithm for Aerospace Sheet Metal Parts - Computer-Aided Design & Applications, 2022"]}
DOI: 10.6084/m9.figshare.19987424
title: Table S1.xlsx

description: From "Quantitative proteomic analysis of SARS-CoV-2 infection of primary human airway ciliated cells and lung epithelial cells demonstrates the effectiveness of SARS-CoV-2 innate immune evasion"
DOI: 10.6084/m9.figshare.19987424.v3
title: Table S1.xlsx

description: From "Quantitative proteomic analysis of SARS-CoV-2 infection of primary human airway ciliated cells and lung epithelial cells demonstrates the effectiveness of SARS-CoV-2 innate immune evasion"
DOI: 10.6084/m9.figshare.19987424.v2
title: Supplementary table 1 interactive.xlsx

description: From "Quantitative proteomic analysis of SARS-CoV-2 infection of primary human airway ciliated cells and lung epithelial cells demonstrates the effectiveness of SARS-CoV-2 innate immune evasion"
DOI: 10.6084/m9.figshare.20407215
title: Table S3

description: Quantitative proteomic analysis of SARS-CoV-2 infected hAEC-ALI ciliated cells <br> Accession : Uniprot Accession Entry : Uniprot Entry Gene.ID : Gene ID Taxonomy : Taxonomy ID Description : Gene Description Database : Protein database #Unique : # Unique peptides detected Subsequent columns : Normalised TMT reporter ion intenisty for each replicate <br>
DOI: 10.6084/m9.figshare.20407236
title: Table S4

description: Single time-point (48 h) SARS-CoV-2 proteomics experiment <br> <br> Database : Protein database Accession : Uniprot Accession Entry : Uniprot Entry Taxonomy : Taxonomy ID Gene.ID : Gene ID Description : Gene Description #Unique : # Unique peptides detected Subsequent columns : Normalised TMT reporter ion intenisty for each replicate In addition to conditions displayed in the explanatory figure, this dataset Includes proteomic analysis of two ACE2 high Calu-3 clones, Clone 28 and Clone 37.
DOI: 10.6084/m9.figshare.20407305.v1
title: Table S5

description: 8 h timepoint of a multiple time-point SARS-CoV-2 proteomics experiment in an ACE-2 high Calu-3 clone Accession : Uniprot Accession Description : Gene Description #Unique : # Unique peptides detected Subsequent columns : Normalised TMT reporter ion intenisty for each replicate
DOI: 10.6084/m9.figshare.20407314
title: Table S6

description: 24 h timepoint of a multiple time-point SARS-CoV-2 proteomics experiment in an ACE-2 high Calu-3 clone <br> Accession : Uniprot Accession Description : Gene Description #Unique : # Unique peptides detected Subsequent columns : Normalised TMT reporter ion intenisty for each replicate
DOI: 10.6084/m9.figshare.20407212
title: Table S2

description: Proteomic characterisation of the key cell types of the pseudostratified epithelium of primary human airway epithelial cells (hAECs) <br> Accession : Uniprot Accession Entry : Uniprot Entry Gene.ID : Gene ID Description: Gene Description #Unique: # Unique peptides detected TUBA.int : Normalised intensity of TUBA+ sorted cells NGFR.int: Normalised intensity of NGFR+ sorted cells CEACAM6.int : Normalised intensity of CEACAM6+ sorted cells Unstained.int : Normalised intensity of unstained sorted cells Unsorted.int : Normalised intensity of unsorted cells <br>
DOI: 10.6084/m9.figshare.20407212.v1
title: Table S2

description: Proteomic characterisation of the key cell types of the pseudostratified epithelium of primary human airway epithelial cells (hAECs) <br> Accession : Uniprot Accession Entry : Uniprot Entry Gene.ID : Gene ID Description: Gene Description #Unique: # Unique peptides detected TUBA.int : Normalised intensity of TUBA+ sorted cells NGFR.int: Normalised intensity of NGFR+ sorted cells CEACAM6.int : Normalised intensity of CEACAM6+ sorted cells Unstained.int : Normalised intensity of unstained sorted cells Unsorted.int : Normalised intensity of unsorted cells <br>
DOI: 10.6084/m9.figshare.20407236.v1
title: Table S4

description: Single time-point (48 h) SARS-CoV-2 proteomics experiment <br> <br> Database : Protein database Accession : Uniprot Accession Entry : Uniprot Entry Taxonomy : Taxonomy ID Gene.ID : Gene ID Description : Gene Description #Unique : # Unique peptides detected Subsequent columns : Normalised TMT reporter ion intenisty for each replicate In addition to conditions displayed in the explanatory figure, this dataset Includes proteomic analysis of two ACE2 high Calu-3 clones, Clone 28 and Clone 37.
DOI: 10.6084/m9.figshare.20407305
title: Table S5

description: 8 h timepoint of a multiple time-point SARS-CoV-2 proteomics experiment in an ACE-2 high Calu-3 clone Accession : Uniprot Accession Description : Gene Description #Unique : # Unique peptides detected Subsequent columns : Normalised TMT reporter ion intenisty for each replicate
DOI: 10.25919/4yas-wd38
title: Parkes observations for project P1156 semester 2022APRS_07

description: The discovery of a repeating fast radio burst (FRB) 20200120E localized to a globular cluster (GC) of the nearby (~3.6 Mpc) M81 galaxy challenged our current understanding of FRBs. Its location in an old stellar system and proximity to the Earth (40 times closer than any other extragalactic FRB detected) have profound implications on the origin of FRBs and the number density and luminosity of this type of source. Motivated by this discovery, we propose to search for FRBs targeting at another nearby elliptical galaxy, Centaurus A. Its relative proximity (~3.5 Mpc), combined with its richness in GCs (&gt;1200), makes Centaurus A the best target in the sky for detecting new FRB sources in GCs. Such a targeted survey will allow us to constrain the event rate and luminosity of FRBs from GCs and hence understand their contribution to the cosmological FRB rate and shed new light on the formation of neutron stars in GCs.
DOI: 10.6084/m9.figshare.16863520
title: outbreaks.csv

description: File containing recorded outbreaks of foot-and-mouth disease (FMD) in cattle for Turkey in the time period 2007-2012. The data contains information about the epiunits that recorded the outbreak, serotype of FMD, geographic location, and the date of record.
DOI: 10.6084/m9.figshare.16863520.v2
title: outbreaks.csv

description: File containing recorded outbreaks of foot-and-mouth disease (FMD) in cattle for Turkey in the time period 2007-2012. The data contains information about the epiunits that recorded the outbreak, serotype of FMD, geographic location, and the date of record.
DOI: 10.6084/m9.figshare.16726411
title: edgelist.csv

description: This file contains the edge list of the network of cattle exchange in Turkey in the time range from 2007 - 2012. Each line contains three columns: source epiunit, destination epiunit and the frequency of shipments between these epiunits.
DOI: 10.6084/m9.figshare.16726411.v1
title: edgelist.csv

description: This file contains the edge list of the network of cattle exchange in Turkey in the time range from 2007 - 2012. Each line contains three columns: source epiunit, destination epiunit and the frequency of shipments between these epiunits.
DOI: 10.6084/m9.figshare.16726414
title: shipments.csv

description: Shipments of cattle between epiunits in Turkey from 2007 to 2012. Each line contains the label of the source epiunit with geographic location, and destination epiunit, with its geographic location
DOI: 10.6084/m9.figshare.16726414.v1
title: shipments.csv

description: Shipments of cattle between epiunits in Turkey from 2007 to 2012. Each line contains the label of the source epiunit with geographic location, and destination epiunit, with its geographic location
DOI: 10.6084/m9.figshare.20407314.v1
title: Table S6

description: 24 h timepoint of a multiple time-point SARS-CoV-2 proteomics experiment in an ACE-2 high Calu-3 clone <br> Accession : Uniprot Accession Description : Gene Description #Unique : # Unique peptides detected Subsequent columns : Normalised TMT reporter ion intenisty for each replicate
DOI: 10.6084/m9.figshare.19439453.v1
title: Data from: Bombardier beetles repel invasive bullfrogs

description: Sugiura S, Date T (2022) Bombardier beetles repel invasive bullfrogs. PeerJ (https://dx.doi.org/10.7717/peerj.13805).
DOI: 10.6084/m9.figshare.19439453
title: Data from: Bombardier beetles repel invasive bullfrogs

description: Sugiura S, Date T (2022) Bombardier beetles repel invasive bullfrogs. PeerJ (https://dx.doi.org/10.7717/peerj.13805).
DOI: 10.34740/kaggle/dsv/4037534
title: UltraSmall_COCO_125_overlapping_Chromosomes
DOI: 10.34740/kaggle/dsv/4037501
title: 3d segmentation results pfe
DOI: 10.34740/kaggle/dsv/4037878
title: Tales from the Pizza Guy
DOI: 10.5281/zenodo.6795306
title: NURBS Enhanced Virtual Element Methods for the Spatial Discretisation of the Multigroup Neutron Diffusion Equation on Curvilinear Polygonal Meshes

description: This repository holds all of the raw data generated by my C++ code for a paper "NURBS Enhanced Virtual Element Methods for the Spatial Discretisation of the Multigroup Neutron Diffusion Equation on Curvilinear Polygonal Meshes". The C++ code solves the neutron diffusion equation using a novel spatial discretisation called the Virtual Element Method. Alongside the raw data (stored in VTK and HDF5 files) are post-processing python scripts which read the raw data, compute meaningful quantities of interest and generate plots/figures.
DOI: 10.5281/zenodo.6795305
title: NURBS Enhanced Virtual Element Methods for the Spatial Discretisation of the Multigroup Neutron Diffusion Equation on Curvilinear Polygonal Meshes

description: This repository holds all of the raw data generated by my C++ code for a paper "NURBS Enhanced Virtual Element Methods for the Spatial Discretisation of the Multigroup Neutron Diffusion Equation on Curvilinear Polygonal Meshes". The C++ code solves the neutron diffusion equation using a novel spatial discretisation called the Virtual Element Method. Alongside the raw data (stored in VTK and HDF5 files) are post-processing python scripts which read the raw data, compute meaningful quantities of interest and generate plots/figures.
DOI: 10.17632/rw9n423jxs.2
title: Stable isotopic variation (δ18O and δD) in a mountainous river with rapidly changing altitude: Insight into the hydrological processes and rainout in the basin

description: Stable Isotopic composition of the Teesta River system
DOI: 10.17632/rw9n423jxs.1
title: Hydrological processes induced stable isotopic fractionation in a high-altitude river: Insight from δ18O and δD of the Teesta river, Brahmaputra watershed

description: Stable Isotopic composition of the Teesta River system
DOI: 10.17632/mtd4yszp3d.2
title: Evaluating the efficiency of popular species identification analytical methods, and integrative workflow using morphometry and barcoding bioinformatics for taxonomy and origin of traded cryptic brown frogs

description: Wildlife trade drives the introduction pathway for biological invasions worldwide, a process that is hidden on alien species with undefined phenotypical variations and ecologically comparable to the native community. To confront this catastrophe issue, we designated a comparative morphometry and a barcode based-species delimitation framework that help accurately identify cryptic phenotypic species on a large-scale species assignments. We incorporated meta-analyses, comparative morphometry, species delimitation modelling and phylogeography to infer the crypticity in phenotypic and genetic among the brown frogs (Rana spp.) imported to the Republic of Korea from China under the epithet ‘R. huanrenensis’ and ‘Rana dybowskii’.
DOI: 10.17632/kbmb83ybhz.1
title: Artificial Intelligence Reinforced Upconversion Nanoparticle-based Lateral Flow Assay via Transfer Learning

description: This dataset contains the self-constructed mini-dataset for morphine and methamphetamine used in the Artificial Intelligence Reinforced Upconversion Nanoparticle-based Lateral Flow Assay via Transfer Learning article.

If you would like to use this dataset please cite the following article.

@article{WANG2022,
title = {Artificial Intelligence Reinforced Upconversion Nanoparticle-based Lateral Flow Assay via Transfer Learning},
journal = {Fundamental Research},
year = {2022},
issn = {2667-3258},
doi = {https://doi.org/10.1016/j.fmre.2022.03.025},
url = {https://www.sciencedirect.com/science/article/pii/S266732582200200X},
author = {Wei Wang and Kuo Chen and Xing Ma and Jinhong Guo},
keywords = {Upconverting nanoparticles, Lateral flow assays, Transfer learning, Internet of medical things, Portable fluorescent sensor}
}
DOI: 10.6084/m9.figshare.20444538
title: Wireless sensing dataset for human activity recognition (HAR)

description: <strong>This dataset consists of WiFi Channel State Information (CSI) and Ultra-Wideband (UWB) Channel Impulse Response (CIR) data collected for human activity recognition (wireless sensing of human activities).</strong> The main dataset folder "<strong>Wireless_sensing_human_activity_recognition</strong>" consists of 2 subfolders: (1) "<strong>WiFi_CSI</strong>" - containing WiFi channel state information (CSI) data collected across 3 rooms (2) "<strong>UWB</strong>" - containing Ultra-Wideband (UWB) channel impulse response (CIR) data collected in one room. <br> (1) The "<strong>WiFi_CSI</strong>" folder contains the following subfolders: (i) Room_1 (ii) Room_2 (iii) Room_3 <br> (2) The "<strong>UWB</strong>" folder contains no subfolders. <br> The interested user is kindly referred to the "readme.txt" file for more informtion on the dataset in terms of directory details, equipment and parameters used, experimental setup, detailed description of each file, human activities performed, etc.
DOI: 10.6084/m9.figshare.20444637
title: Analyzing hot topics of electronic word-of-mouth through latent semantic text analysis

description: · Individuals influence others’ decision-making process by contributing to eWOM. · eWOM is a communication channel where people share their opinions about a service, product, etc, via the Internet through different devices. · This study aims to explore the eWOM research area to find out hot discussed topics. · Using an improved latent semantic text analysis provided this study with a debatable and comprehensive result which is a first in its kind. · Proposing a guideline for scholars by using Scopus Citescore and text mining results to submit their research to an appropriate journal based on the scope and theme of their study in eWOM.
DOI: 10.6084/m9.figshare.19612971.v2
title: Dances with wolves: Exploring the limits to turning performance with size and shape variation in dogs

description: <br> Supplementary data for: <br> Dances with wolves: Exploring the limits to turning performance with size and shape variation in dogs Tina Haagensen1,2, Johanna T. Schultz1,3, Joshua Gaschk1, Christofer J. Clemente1 <br> 1. School of Science and Engineering, University of the Sunshine Coast, QLD, Australia <br> 2. Kristiansand Dyrepark, 4609 Kardemomme by, Norway <br> 3. The Robotics and Autonomous Systems Group, CSIRO Data61, QLD, Australia <br>
DOI: 10.34740/kaggle/dsv/4038197
title: OntoUML/UFO Catalog
DOI: 10.34740/kaggle/dsv/4038238
title: BBC News
DOI: 10.6084/m9.figshare.20444670.v1
title: cardiac_muscle_ENCSR000ENJ_ENCFF720APQ_DNase_hg19.bigwig

description: 1111
DOI: 10.6084/m9.figshare.20444670
title: cardiac_muscle_ENCSR000ENJ_ENCFF720APQ_DNase_hg19.bigwig

description: 1111
DOI: 10.6084/m9.figshare.20444658
title: 55K SNP array raw data related to CH51

description: <strong>Molecular Cytogenetic Characterizationof a New Wheat-</strong><em><strong>Thinopyrum intermedium</strong></em><strong>Homoeologous Group-6 Chromosome Disomic Substitution Linewith Resistance to Leaf Rust and Stripe Rust</strong>
DOI: 10.6084/m9.figshare.20444658.v1
title: SNP array raw data.xlsx

description: <strong>Molecular Cytogenetic Characterizationof a New Wheat-</strong><em><strong>Thinopyrum intermedium</strong></em><strong>Homoeologous Group-6 Chromosome Disomic Substitution Linewith Resistance to Leaf Rust and Stripe Rust</strong>
DOI: 10.5281/zenodo.6970427
title: Zion

description: # Zion #This is a research work illustrating the switchable photovoltaic effect in WS2 nanotube, and prototyping a "four in one" artificial machine vision. #Codes can be found in ZION to Matrix #Source data can be found in SOURCE DATA #Enjoy!
description: Beijing Institute of Technology, Liangxiang University Town Fangshan Beijing
DOI: 10.6084/m9.figshare.20444682
title: Disengaging spinal afferent nerve communication with the brain in live mice, source data

description: Numerical source data for graphs and charts in the manuscript, "Disengaging spinal afferent nerve communication with the brain in live mice"
DOI: 10.6084/m9.figshare.20444682.v1
title: Disengaging spinal afferent nerve communication with the brain in live mice, source data

description: Numerical source data for graphs and charts in the manuscript, "Disengaging spinal afferent nerve communication with the brain in live mice"
DOI: 10.6084/m9.figshare.20444715
title: Listado sentencias art. 91 - VBR.xlsx

description: El listado forma parte de los materiales utlizados en un estudio de sentencias analizadas en una investigación referente al artículo 91 del Código Procesal Penal chileno.
DOI: 10.6084/m9.figshare.20444715.v1
title: Listado sentencias art. 91 - VBR.xlsx

description: El listado forma parte de los materiales utlizados en un estudio de sentencias analizadas en una investigación referente al artículo 91 del Código Procesal Penal chileno.
DOI: 10.6084/m9.figshare.20444712.v1
title: agreement rate data

description: gesture data for experiment
DOI: 10.6084/m9.figshare.20444712
title: agreement rate data

description: gesture data for experiment
DOI: 10.5519/qd.z3armigw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)