cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20401386
title: Global evapotranspiration and surface heat fluxes dataset from 1978-2018 produced by the Maximum Entropy Production model

description: Accurate estimate of evapotranspiration (ET) is vital for understanding the global hydrological cycle. Here, based on inputs from the Global Land Data Assimilation System (GLDAS) and Global Land Surface Satellite (GLASS) products, we produce a global ET as well as sensible and ground heat fluxes dataset at a 0.25-degree spatial resolution from 1978-2018 by the Maximum Entropy Production (MEP) model. The MEP estimated global ET showed a close agreement with eddy-covariance (EC) measurements from 475 flux sites. Overall, the MEP model provides an accurate ET estimate with parsimonious inputs, which outperforms the GLDAS-Noah ET product, and will serve for the global analysis of the hydrological cycle and climate change. All the dataset files are in Netcdf (.nc) format.
DOI: 10.5281/zenodo.6937608
title: Information Extraction in Handwritten Historical Logbooks

description: Contains the datasets with tables used in the following paper: Information Extraction in Handwritten Historical Logbooks. The pages starting with "vol003" correspond to the Jeannette corpus, while the ones starting with "Albatross" correspond to the Albatross corpus.
DOI: 10.5281/zenodo.6937607
title: Information Extraction in Handwritten Historical Logbooks

description: Contains the datasets with tables used in the following paper: Information Extraction in Handwritten Historical Logbooks. The pages starting with "vol003" correspond to the Jeannette corpus, while the ones starting with "Albatross" correspond to the Albatross corpus.
DOI: 10.5517/ccdc.csd.cc2bn9jv
title: CCDC 2164467: Experimental Crystal Structure Determination

description: Related Article: Ayşegül Köse, Özge Güngör, Julide Nacaroğlu Ballı, Sultan Erkan|2022|J.Mol.Struct.|1268|133750|doi:10.1016/j.molstruc.2022.133750
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.5841376
title: Root tissue segmentation dataset

description: The PHDFM dataset is composed of fluorescence microscopy images of root tissue samples from <em>A. thaliana</em>, using the ratiometric fluorescent indicator 8‐hydroxypyrene‐1,3,6‐trisulfonic acid trisodium salt (HPTS). This semantic segmentation training dataset consists of 2D microscopy images (the brightfield channel for excitation at 405 nm), each containing a segmentation mask as an additional image channel (manually annotated by plant biologists). The segmentation masks classify pixels into the following 5 labels with the corresponding IDs: background (0), root tissue (1), early elongation zone (2), late elongation zone (3), and meristematic zone (4).
DOI: 10.5281/zenodo.5841375
title: Root tissue segmentation dataset

description: The PHDFM dataset is composed of fluorescence microscopy images of root tissue samples from <em>A. thaliana</em>, using the ratiometric fluorescent indicator 8‐hydroxypyrene‐1,3,6‐trisulfonic acid trisodium salt (HPTS). This semantic segmentation training dataset consists of 2D microscopy images (the brightfield channel for excitation at 405 nm), each containing a segmentation mask as an additional image channel (manually annotated by plant biologists). The segmentation masks classify pixels into the following 5 labels with the corresponding IDs: background (0), root tissue (1), early elongation zone (2), late elongation zone (3), and meristematic zone (4).
DOI: 10.6084/m9.figshare.20319750
title: Electrophysiological properties of inspiratory preBötzinger complex neurons in neonatal mice (GEO:GSE175643)

description: This spreadsheet describes the electrophysiological properties of inspiratory preBötzinger complex neurons in neonatal mice whose transcriptome data are in GEO:GSE175643.
DOI: 10.6084/m9.figshare.20319750.v1
title: Electrophysiological properties of inspiratory preBötzinger complex neurons in neonatal mice (GEO:GSE175643)

description: This spreadsheet describes the electrophysiological properties of inspiratory preBötzinger complex neurons in neonatal mice whose transcriptome data are in GEO:GSE175643.
DOI: 10.6084/m9.figshare.20319786
title: Mapping statistics for nucleotide sequences for inspiratory preBötzinger complex neurons in neonatal mice (GEO:GSE175643)

description: This spreadsheet describes the mapping statistics for nucleotide sequences from inspiratory preBötzinger complex neurons in data set GEO:GSE175643. The mapping statistics describe relative fraction of sequences that map to the murine mm10 genome.
DOI: 10.6084/m9.figshare.20319786.v1
title: Mapping statistics for nucleotide sequences for inspiratory preBötzinger complex neurons in neonatal mice (GEO:GSE175643)

description: This spreadsheet describes the mapping statistics for nucleotide sequences from inspiratory preBötzinger complex neurons in data set GEO:GSE175643. The mapping statistics describe relative fraction of sequences that map to the murine mm10 genome.
DOI: 10.5281/zenodo.6937824
title: Porous Media Modeling and Physical Property Analysis

description: This is a supplementary dataset for the submitted manuscript. The dataset includes CT samples, porous media models, permeability and elasticity result data, and Matlab code to implement the modeling.
DOI: 10.5281/zenodo.6937823
title: Porous Media Modeling and Physical Property Analysis

description: This is a supplementary dataset for the submitted manuscript. The dataset includes CT samples, porous media models, permeability and elasticity result data, and Matlab code to implement the modeling.
DOI: 10.6084/m9.figshare.17139896
title: Control Sub729

description: EEG and ET mat format data of one control student Sub729 in ABT and CCT experiments.
DOI: 10.5281/zenodo.6937771
title: The dataset for an article - An Evaluation of 3D-Printed Materials' Structural Properties Using Active Infrared Thermography and Deep Neural Networks Trained on the Numerical Data

description: Dataset used in the research presented in the article: Szymanik, Barbara. 2022. "An Evaluation of 3D-Printed Materials’ Structural Properties Using Active Infrared Thermography and Deep Neural Networks Trained on the Numerical Data" <em>Materials</em> 15, no. 10: 3727. https://doi.org/10.3390/ma15103727 The database in the .mat (matlab) format contains arrays of double type related to: A - original thermograms obtained for the plate made with the 3D printing technique Ar - thermograms with ROI included FITorg - approximation of original thermograms ImDiff, ImInt, ImProp - data obtained after subtracting the approximation.
description: This research was funded by the National Science Center, Poland (Narodowe Centrum Nauki, NCN), within the research project "Evaluation of the internal structure and assessment of the structure health of complex materials using active infrared thermography with multiple excitation sources", grant number 2020/04/X/ST7/01388. The APC was funded by the Research Fund of the Faculty of Electrical Engineering (West Pomeranian University of Technology, Szczecin, Poland).
DOI: 10.5281/zenodo.6937770
title: The dataset for an article - An Evaluation of 3D-Printed Materials' Structural Properties Using Active Infrared Thermography and Deep Neural Networks Trained on the Numerical Data

description: Dataset used in the research presented in the article: Szymanik, Barbara. 2022. "An Evaluation of 3D-Printed Materials’ Structural Properties Using Active Infrared Thermography and Deep Neural Networks Trained on the Numerical Data" <em>Materials</em> 15, no. 10: 3727. https://doi.org/10.3390/ma15103727 The database in the .mat (matlab) format contains arrays of double type related to: A - original thermograms obtained for the plate made with the 3D printing technique Ar - thermograms with ROI included FITorg - approximation of original thermograms ImDiff, ImInt, ImProp - data obtained after subtracting the approximation.
description: This research was funded by the National Science Center, Poland (Narodowe Centrum Nauki, NCN), within the research project "Evaluation of the internal structure and assessment of the structure health of complex materials using active infrared thermography with multiple excitation sources", grant number 2020/04/X/ST7/01388. The APC was funded by the Research Fund of the Faculty of Electrical Engineering (West Pomeranian University of Technology, Szczecin, Poland).
DOI: 10.34740/kaggle/dsv/4001250
title: YouTube Daily
DOI: 10.5281/zenodo.6873494
title: BE4k8KSongs

description: Dataset for Bandwidth Extension input as 4k and target as 8k
DOI: 10.5281/zenodo.6873493
title: BE4k8KSongs

description: Dataset for Bandwidth Extension input as 4k and target as 8k
DOI: 10.6084/m9.figshare.16587311.v13
title: AREAdata updating output files

description: AREAdata output files for automatically updating climate averages. These are daily climate estimates based on the CDS ERA-5 reanalysis, see pearselab.github.io/areadata/.<br>File names begin with the climate variable given:temp = Temperaturespechumid = Specific Humidityrelhumid = Relative Humidityprecip = Precipiationuv = Ultraviolet<br>File names contain the administrative division level:<br>countries - highest administrative division<br>GID1 - lower administrative division, equivalent to states<br>GID2 - lower administrative division, equivalent to counties<br>Files downloadable as RDS files for direct use in the R statistical programming environment (appended .RDS), or as zip-compressed tab delimited files for other applications (appended .zip).<br>
DOI: 10.25625/o1od2i/bgdycq
title: R-code Behaviour.docx

description: R-code for sibling birth behavior
DOI: 10.25625/o1od2i/osguda
title: Data Sibling paper 02-2023.tab

description: Raw data incl. physiology (cortisol, neopterin, total T3) and behavior data
DOI: 10.25625/o1od2i/z9n99j
title: R-code Physiology.docx

description: R-code for sibling birth physiology
DOI: 10.25625/o1od2i/ky272j
title: R-code Physiology-1.docx

description: New R code physiology data
DOI: 10.25625/o1od2i/hdz22j
title: R-code Behaviour.docx

description: R-code for sibling birth behavior
DOI: 10.25625/o1od2i/opu6lh
title: R-code Physiology(1).docx

description: New R code physiology data
DOI: 10.25625/o1od2i/nxmjry
title: R-code Physiology.txt

description: R-code for sibling birth physiology as txt file
DOI: 10.25625/o1od2i/x4mce5
title: R-code Behaviour.txt

description: R-code for sibling birth behavior as txt file
DOI: 10.34808/m34m-eg16
title: Partial PLA composite surface activation by femtosecond laser ablation

description: The dataset contains the studies on electrochemical activity of PLA composite (commercially available CB-PLA Protopasta), which was 3D printed in a form of 1x1cm electrodes. The electrodes were submitted to femtosecond laser ablation operating with different parameters. These were: gas atmosphere (He or air, data in different subfolders), the percentage of applied FS laser power (10-100%), scan rate (between 833 and 2000 mm/s), and a number of scans at the electrode surface (each labeled in file names). 100% FS laser power corresponds to 4.1 Jcm^-2 pulse energy. 20 MHz pulse repetition rate was used.
The studies were carried out with different redox probes labeled in the subfolders: potassium ferrocyanide or hexaammineruthenium chloride in 0.1M KCl. The electrochemical impedance spectroscopy (EIS) and cyclic voltammetry (CV) measurements were carried out using Autolab 304N potentiostat. Pt mesh was the counter electrode and Ag|AgCl was the reference electrode. The CV scan rate is given in file names.
DOI: 10.5281/zenodo.6938136
title: Total magnetic field measurements Piton de la Fournaise 2017-2019-2020

description: Piton de la Fournaise northern profile * File number:<br> nT_yyyy_mm_dd.txt * File format (5 columns): <br> Coordinates (in m) Total magnetic field <br> X Y Z pre-filtered magnetic data (in nT) index of quality (&gt;80) <br> * Magnetic reiteration campaigns funded by:<br> ANR contract 16-CE04-0004-01 SlideVOLC<br> ANR contract 21-CE49-0015 Scan4Volc<br> Centre National d'Études Spatiales (CNES)<br> Laboratory of Excellence ClerVolc
DOI: 10.5281/zenodo.6406833
title: Lithogenesis of a phosphatized tephra marker horizon in the Eocene Messel maar lake

description: Diffractograms of the Messel pit marker horizon M - messelite bands and a band consisting of messelite, montgomeryite, and mantienneite
DOI: 10.5281/zenodo.6406832
title: Lithogenesis of a phosphatized tephra marker horizon in the Eocene Messel maar lake

description: Diffractograms of the Messel pit marker horizon M - messelite bands and a band consisting of messelite, montgomeryite, and mantienneite
DOI: 10.5281/zenodo.6938457
title: GlottisNetV2 - Time variant training and testing data

description: Here we provide time variant training and testing data for the GlottisNetV2 study. In particular, this dataset relies on the benchmark for automatic glottis segmentation (BAGLS dataset). This three-dimensional data (time, y, x) is used for experiments involving deep neural networks capable of processing time-variant data. Each folder contains videos each with the following data: Endoscopic video as mp4 (*.mp4) Glottis segmentation as mask-file (hdf5 container, *.mask) Glottis segmentation as mp4 file (*_mask.mp4) Metadata as JSON file (*.meta) Glottal midline annotation as JSON file (*.points)
DOI: 10.5281/zenodo.6938456
title: GlottisNetV2 - Time variant training and testing data

description: Here we provide time variant training and testing data for the GlottisNetV2 study. In particular, this dataset relies on the benchmark for automatic glottis segmentation (BAGLS dataset). This three-dimensional data (time, y, x) is used for experiments involving deep neural networks capable of processing time-variant data. Each folder contains videos each with the following data: Endoscopic video as mp4 (*.mp4) Glottis segmentation as mask-file (hdf5 container, *.mask) Glottis segmentation as mp4 file (*_mask.mp4) Metadata as JSON file (*.meta) Glottal midline annotation as JSON file (*.points)
DOI: 10.34740/kaggle/dsv/3918412
title: GBSense_2022_data
DOI: 10.48420/19583323.v1
title: Simultaneous broadband suppression of homonuclear and heteronuclear couplings in 1H NMR spectroscopy

description: This folder contains all NMR raw data for the publication entitled "Simultaneous broadband suppression of homonuclear and heteronuclear couplings in 1H NMR spectroscopy", as well as relevant pulse programs for Bruker spectrometers, shapes files and processing macros.
DOI: 10.5517/ccdc.csd.cc29gxb1
title: CCDC 2129493: Experimental Crystal Structure Determination

description: Related Article: Niklas F. Both, Anke Spannenberg, Kathrin Junge, Matthias Beller|2022|Organometallics|41|1797|doi:10.1021/acs.organomet.1c00709
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29gxc2
title: CCDC 2129494: Experimental Crystal Structure Determination

description: Related Article: Niklas F. Both, Anke Spannenberg, Kathrin Junge, Matthias Beller|2022|Organometallics|41|1797|doi:10.1021/acs.organomet.1c00709
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.6938672
title: Data Set : Seismic Wave Propagation Simulations in Indo Gangetic Basin using Spectral Element Method

description: Indo Gangetic (IG) basin is one of the largest alluvial basins in the world. The surrounding Himalayan topography and the geometry of the basin make the IG basin unique. The analysis of seismic response of the basin is important as the region is seismically active with more than 40% of Indian population residing in it. This online database consists of the input files for performing the spectral finite element simulation for IG basin by incorporating the 3D variation of material properties and basin geometry. The input files consists of mesher, solver and CMTSOLUTION files for SPECFEM3D Cartesian (Version-3) simulation.
DOI: 10.5281/zenodo.6938671
title: Data Set : Seismic Wave Propagation Simulations in Indo Gangetic Basin using Spectral Element Method

description: Indo Gangetic (IG) basin is one of the largest alluvial basins in the world. The surrounding Himalayan topography and the geometry of the basin make the IG basin unique. The analysis of seismic response of the basin is important as the region is seismically active with more than 40% of Indian population residing in it. This online database consists of the input files for performing the spectral finite element simulation for IG basin by incorporating the 3D variation of material properties and basin geometry. The input files consists of mesher, solver and CMTSOLUTION files for SPECFEM3D Cartesian (Version-3) simulation.
DOI: 10.5281/zenodo.6406052
title: CADeSH Dataset: Collaborative Anomaly Detection for Smart Homes

description: Dataset used for quantitative evaluation in the paper: Y. Meidan, D. Avraham, H. Libhaber and A. Shabtai, "CADeSH: Collaborative Anomaly Detection for Smart Homes," in IEEE Internet of Things Journal, 2022, doi: 10.1109/JIOT.2022.3194813. This is a table of flow-level traffic data which was continuously captured during a period of 21 days from five real home networks which were subscribed to a smart home security service, and from our lab at Ben-Gurion University of The Negev. This security service provider shared with us these network traffic flows, plus the related DNS requests and responses, and reputation intelligence of the destination IP addresses. Each instance in this dataset represents an outbound network traffic flow (in the form of an IPFIX) which emanated from an instance of the IoT model streamer.Amazon.Fire_TV_Gen_3. In our lab, we infected our streamer.Amazon.Fire_TV_Gen_3 with a cryptominer and executed cryptomining from this device. To imitate a scanning activity typically performed by some botnets, we also scanned the network using Nmap. In accordance, we labeled these malicious activities as (1) `is executing cryptomining,' or (2) `being scanned by Nmap.' All of the remaining IPFIXs captured in our lab or on the home networks were labeled as `assumed benign'. The multitude of real home networks, and the multitude of identical source devices, enable using this dataset for quantitative evaluation of (collaborative) anomaly/attack detection methods, especially for the IoT.
description: {"references": ["Y. Meidan, D. Avraham, H. Libhaber and A. Shabtai, \"CADeSH: Collaborative Anomaly Detection for Smart Homes,\" in IEEE Internet of Things Journal, 2022, doi: 10.1109/JIOT.2022.3194813.", "@ARTICLE{9844137, author={Meidan, Yair and Avraham, Dan and Libhaber, Hanan and Shabtai, Asaf}, journal={IEEE Internet of Things Journal}, title={CADeSH: Collaborative Anomaly Detection for Smart Homes}, year={2022}, volume={}, number={}, pages={1-1}, doi={10.1109/JIOT.2022.3194813}}"]}
DOI: 10.5281/zenodo.6406051
title: CADeSH Dataset: Collaborative Anomaly Detection for Smart Homes

description: Dataset used for quantitative evaluation in the paper: Y. Meidan, D. Avraham, H. Libhaber and A. Shabtai, "CADeSH: Collaborative Anomaly Detection for Smart Homes," in IEEE Internet of Things Journal, 2022, doi: 10.1109/JIOT.2022.3194813. This is a table of flow-level traffic data which was continuously captured during a period of 21 days from five real home networks which were subscribed to a smart home security service, and from our lab at Ben-Gurion University of The Negev. This security service provider shared with us these network traffic flows, plus the related DNS requests and responses, and reputation intelligence of the destination IP addresses. Each instance in this dataset represents an outbound network traffic flow (in the form of an IPFIX) which emanated from an instance of the IoT model streamer.Amazon.Fire_TV_Gen_3. In our lab, we infected our streamer.Amazon.Fire_TV_Gen_3 with a cryptominer and executed cryptomining from this device. To imitate a scanning activity typically performed by some botnets, we also scanned the network using Nmap. In accordance, we labeled these malicious activities as (1) `is executing cryptomining,' or (2) `being scanned by Nmap.' All of the remaining IPFIXs captured in our lab or on the home networks were labeled as `assumed benign'. The multitude of real home networks, and the multitude of identical source devices, enable using this dataset for quantitative evaluation of (collaborative) anomaly/attack detection methods, especially for the IoT.
description: {"references": ["Y. Meidan, D. Avraham, H. Libhaber and A. Shabtai, \"CADeSH: Collaborative Anomaly Detection for Smart Homes,\" in IEEE Internet of Things Journal, 2022, doi: 10.1109/JIOT.2022.3194813.", "@ARTICLE{9844137, author={Meidan, Yair and Avraham, Dan and Libhaber, Hanan and Shabtai, Asaf}, journal={IEEE Internet of Things Journal}, title={CADeSH: Collaborative Anomaly Detection for Smart Homes}, year={2022}, volume={}, number={}, pages={1-1}, doi={10.1109/JIOT.2022.3194813}}"]}
DOI: 10.5281/zenodo.6938759
title: Middle Miocene climate and stable oxygen isotopes in Europe

description: v1. Three ECHAM5-wiso model experiments for European region. For the first experiment (Europe_PI.nc), boundary conditions are set as pre-industrial and are identical to those in Botsyun et al., 2020. We also conducted two experiments with Middle Miocene boundary conditions reflecting two <em>p</em>CO<sub>2 </sub>settings (278 ppm and 450 ppm; Europe_Mio_278.nc and Europe_Mio_450.nc experiments) within current estimates of the Middle Miocene <em>p</em>CO<sub>2.</sub> v2. Global ECHAM5-wiso model experiments. geosp_simulations.nc contains surface geopotential for PI and Miocene experiments with modified Alpine topography and paleogeography.<br>
DOI: 10.5281/zenodo.6308474
title: Middle Miocene climate and stable oxygen isotopes in Europe

description: v1. Three ECHAM5-wiso model experiments for European region. For the first experiment (Europe_PI.nc), boundary conditions are set as pre-industrial and are identical to those in Botsyun et al., 2020. We also conducted two experiments with Middle Miocene boundary conditions reflecting two <em>p</em>CO<sub>2 </sub>settings (278 ppm and 450 ppm; Europe_Mio_278.nc and Europe_Mio_450.nc experiments) within current estimates of the Middle Miocene <em>p</em>CO<sub>2.</sub> v2. Global ECHAM5-wiso model experiments. geosp_simulations.nc contains surface geopotential for PI and Miocene experiments with modified Alpine topography and paleogeography.<br>
DOI: 10.5517/ccdc.csd.cc2bkjs7
title: CCDC 2161809: Experimental Crystal Structure Determination

description: Related Article: Mengshan Ye, Alexandra C. Brown, Daniel L. M. Suess|2022|J.Am.Chem.Soc.|144|13184|doi:10.1021/jacs.2c03195
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.