cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6696565
title: SDSS Galaxy Subset

description: The Sloan Digital Sky Survey (SDSS) is a comprehensive survey of the northern sky. This dataset contains a subset of this survey, of 60247 objects classified as galaxies, it includes a CSV file with a collection of information and a set of files for each object, namely JPG image files, FITS and spectra data. This dataset is used to train and explore the astromlp-models collection of deep learning models for galaxies characterisation. The dataset includes a CSV data file where each row is an object from the SDSS database, and with the following columns (note that some data may not be available for all objects): <strong>objid</strong>: unique SDSS object identifier <strong>mjd</strong>: MJD of observation <strong>plate</strong>: plate identifier <strong>tile</strong>: tile identifier <strong>fiberid</strong>: fiber identifier <strong>run</strong>: run number <strong>rerun</strong>: rerun number <strong>camcol</strong>: camera column <strong>field</strong>: field number <strong>ra</strong>: right ascension <strong>dec</strong>: declination <strong>class</strong>: spectroscopic class (only objetcs with GALAXY are included) <strong>subclass</strong>: spectroscopic subclass <strong>modelMag_u</strong>: better of DeV/Exp magnitude fit for band u <strong>modelMag_g</strong>: better of DeV/Exp magnitude fit for band g <strong>modelMag_r</strong>: better of DeV/Exp magnitude fit for band r <strong>modelMag_i</strong>: better of DeV/Exp magnitude fit for band i <strong>modelMag_z</strong>: better of DeV/Exp magnitude fit for band z <strong>redshift</strong>: final redshift from SDSS data z <strong>stellarmass</strong>: stellar mass extracted from the eBOSS Firefly catalog <strong>w1mag</strong>: WISE W1 "standard" aperture magnitude <strong>w2mag</strong>: WISE W2 "standard" aperture magnitude <strong>w3mag</strong>: WISE W3 "standard" aperture magnitude <strong>w4mag</strong>: WISE W4 "standard" aperture magnitude <strong>gz2c_f</strong>: Galaxy Zoo 2 classification from Willett et al 2013 <strong>gz2c_s</strong>: simplified version of Galaxy Zoo 2 classification (labels set) Besides the CSV file a set of directories are included in the dataset, in each directory you'll find a list of files named after the <strong>objid </strong>column from the CSV file, with the corresponding data, the following directories tree is available: <pre><code class="language-bash">sdss-gs/ ├── data.csv ├── fits ├── img ├── spectra └── ssel</code></pre> Where, each directory contains: <strong>img</strong>: RGB images from the object in JPEG format, 150x150 pixels, generated using the SkyServer DR16 API <strong>fits</strong>: FITS data subsets around the object across the u, g, r, i, z bands; cut is done using the ImageCutter library <strong>spectra</strong>: full best fit spectra data from SDSS between 4000 and 9000 wavelengths <strong>ssel</strong>: best fit spectra data from SDSS for specific selected intervals of wavelengths discussed by Sánchez Almeida 2010 <strong>Changelog</strong> v0.0.3 - Increase number of objects to ~80k. v0.0.2 - Increase number of objects to ~60k. v0.0.1 - Initial import.
DOI: 10.5281/zenodo.7051256
title: Raw data for 'Increasing the Modulation Depth of Gd(III)-based Pulsed Dipolar EPR Spectroscopy (PDS) with Porphyrin-GdIII Laser Induced Magnetic Dipole Spectroscopy'

description: Raw data for 'Increasing the Modulation Depth of Gd(III)-based Pulsed Dipolar EPR Spectroscopy (PDS) with Porphyrin-GdIII Laser Induced Magnetic Dipole Spectroscopy'
DOI: 10.5281/zenodo.7042024
title: A Large-Scale Empirical Study of Android Sports Apps in the Google Play Store

description: This repository contains the dataset for our study "A Large-Scale Empirical Study of Android Sports Apps in the Google Play Store" and this will help to replicate our study, also the replication package to direct you to help replicate it for your dataset too. Note: The dataset given are protected with password, and the password is available in our published paper
DOI: 10.5281/zenodo.7042023
title: A Large-Scale Empirical Study of Android Sports Apps in the Google Play Store

description: This repository contains the dataset for our study "A Large-Scale Empirical Study of Android Sports Apps in the Google Play Store" and this will help to replicate our study, also the replication package to direct you to help replicate it for your dataset too. Note: The dataset given are protected with password, and the password is available in our published paper
DOI: 10.6084/m9.figshare.20943691
title: brustiarius_nox_ragtag_1.fasta.gz

description: ......
DOI: 10.6084/m9.figshare.20943691.v1
title: brustiarius_nox_ragtag_1.fasta.gz

description: ......
DOI: 10.6084/m9.figshare.20943706
title: WiFi CSI dataset for device-to-device localization

description: This dataset contains WiFi Channel State Information (CSI) data intended for device-to-device localisation. The experimental setup consists of a single transmitter and a single receiver, each equipped with an Intel 5300 network interface card. <br> The raw complex CSI data was collected at the receiver over 3 receiving antennas and 30 subcarriers and the packet rate was fixed at 2500 Hz. <br> The CSI data was collected over the 5 GHz WiFi band (Channel 64 with 40 MHz channel bandwidth). <br> The transmitter was placed at two different angles with respect to the receiver: 30 degrees and -60 degrees and at 5 different distances: 1m, 2m, 3m, 4m, 5m. <br> Please refer to the "readme.txt" and "Setup_and_Parameters.pdf" files for more details. <br>
DOI: 10.5281/zenodo.7051297
title: Decision-making for selection home with use Ordered Weighted Averaging (OWA operator)

description: این مجموعه داده شامل داده های پرسشنامه برای خرید مسکن در شهر تهران است. از خریداران مسکن خواسته شده که برای خرید مسکن در شهر تهران چه معیارهایی برای آن ها در خرید خانه دارای اولویت می باشد. این معیارها شامل قیمت مسکن، سن بنا، متراژ، تعداد اتاق، محل واحد در مجتمع، پارکینگ، آسانسور، داشتن انباری، محله یا منطقه خاص، امکانات لوکس می باشد. در ادامه نیز فرآیندهای محاسباتی، نمودارها و جداول برای پیشنهاد خانه توسط عملگر میانگین وزن دار مرتب نیز در فایل های نام گذاری شده قرار گرفته است.
DOI: 10.5281/zenodo.7051296
title: Decision-making for selection home with use Ordered Weighted Averaging (OWA operator)

description: این مجموعه داده شامل داده های پرسشنامه برای خرید مسکن در شهر تهران است. از خریداران مسکن خواسته شده که برای خرید مسکن در شهر تهران چه معیارهایی برای آن ها در خرید خانه دارای اولویت می باشد. این معیارها شامل قیمت مسکن، سن بنا، متراژ، تعداد اتاق، محل واحد در مجتمع، پارکینگ، آسانسور، داشتن انباری، محله یا منطقه خاص، امکانات لوکس می باشد. در ادامه نیز فرآیندهای محاسباتی، نمودارها و جداول برای پیشنهاد خانه توسط عملگر میانگین وزن دار مرتب نیز در فایل های نام گذاری شده قرار گرفته است.
DOI: 10.6084/m9.figshare.20944081
title: primary data

description: There are four groups of data (corresponding to four Excel files), and each group of data corresponds to one ROI segmentation method. The nature of lymph nodes can be divided into benign and malignant. A total of 1409 omics features were extracted. The number of samples was 604, including 298 benign and 306 malignant.
DOI: 10.6084/m9.figshare.20944114
title: arius_augustus_ragtag_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.20944114.v1
title: arius_augustus_ragtag_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.20944174
title: arius_berneyi_ragtag_1.fasta.gz

description: ......
DOI: 10.5281/zenodo.7051299
title: Mode coupling bi-stability and spectral broadening in buckled carbon nanotube mechanical resonators

description: Data availability for the Figures of the manuscript.
DOI: 10.6084/m9.figshare.20944174.v1
title: arius_berneyi_ragtag_1.fasta.gz

description: ......
DOI: 10.5281/zenodo.7051298
title: Mode coupling bi-stability and spectral broadening in buckled carbon nanotube mechanical resonators

description: Data availability for the Figures of the manuscript.
DOI: 10.6084/m9.figshare.20944354
title: UWcycleGAN-dataset

description: The dataset for the Virtual Underwater Datasets for Autonomous Inspections paper
DOI: 10.6084/m9.figshare.20944297
title: Data

description: Data used in the French cross-cultural adaptation and validation of the International Trauma Questionnaire (ITQ) in a French community sample.
DOI: 10.6084/m9.figshare.20944297.v1
title: Data

description: Data used in the French cross-cultural adaptation and validation of the International Trauma Questionnaire (ITQ) in a French community sample.
DOI: 10.5281/zenodo.7051367
title: aminiums measured over the Bohai Sea

description: This is a dataset about the atmospheric aminiums measured over the Bohai Sea.
DOI: 10.5281/zenodo.7051366
title: aminiums measured over the Bohai Sea

description: This is a dataset about the atmospheric aminiums measured over the Bohai Sea.
DOI: 10.23708/xbvyhl
title: Ontologie du risque

description: Ce jeu de données présente les travaux de modélisation du risque conduits dans l'Unité Espace-Dev. L'objectif est de proposer un premier jeu de modèles ontologiques autour du risque et de les faire évoluer par l'ensemble des membres de l'Unité. Les fichiers diffusés sont au format texte/n3
DOI: 10.5281/zenodo.7051359
title: ioannispol/UWcycleGAN-dataset: UnderWaterCycleGAN-dataset

description: The dataset for the Virtual Underwater Datasets for Autonomous Inspections paper.
DOI: 10.5281/zenodo.7051358
title: ioannispol/UWcycleGAN-dataset: UnderWaterCycleGAN-dataset

description: The dataset for the Virtual Underwater Datasets for Autonomous Inspections paper.
DOI: 10.5519/qd.c8m2zqua
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.wx8ilgfh
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.34740/kaggle/dsv/4164618
title: Formações e Capacitações em Saúde Digital
DOI: 10.5281/zenodo.6514285
title: Micro-CT Imaging Dataset on ex-vivo Ovine Functional Spinal Segments as Healthy, Injured and Treated with Cement Discoplasty

description: General information: - This dataset contains micro-CT images and mechanical test data from ovine functional spinal units (FSU). <br> - The micro-CT data was produced using a Bruker SkyScan 1172. The settings for the scans are given in the '.log' files in each folder. <br> - The compression testing was conducted on an MTS 858 Mini Bionix T/II. The settings for each test can be found in test '.txt' files.<br> - In short, every FSU was mechanically tested in compression under different conditions. Before and after every test, the FSUs were scanned to ensure there was no damage<br> to the sample. More information can be found in the related publication: <br> - The mechanical testing data is arranged in folders with consecutive cycles. It is highly recommended to use the last three cycles for analysis. Data set notation: - All the datasets are noted by Sheep number. Sh7 = Sheep 7; Sh8 = Sheep 8; Sh9 = Sheep 9. In the publication, the numbers were switched to 1,2,3 respectively.<br> - files denoted with '_rec' contain the reconstruction of the projection images. <br> - 'Tested' or 'After test' files refers to the scan after mechanical testing.
description: This research has received funding from EIT Health (SOFTBONE, project nr 20519), supported by EIT, a body of the European Union and from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 812765.
DOI: 10.5281/zenodo.6514284
title: Micro-CT Imaging Dataset on ex-vivo Ovine Functional Spinal Segments as Healthy, Injured and Treated with Cement Discoplasty

description: General information: - This dataset contains micro-CT images and mechanical test data from ovine functional spinal units (FSU). <br> - The micro-CT data was produced using a Bruker SkyScan 1172. The settings for the scans are given in the '.log' files in each folder. <br> - The compression testing was conducted on an MTS 858 Mini Bionix T/II. The settings for each test can be found in test '.txt' files.<br> - In short, every FSU was mechanically tested in compression under different conditions. Before and after every test, the FSUs were scanned to ensure there was no damage<br> to the sample. More information can be found in the related publication: <br> - The mechanical testing data is arranged in folders with consecutive cycles. It is highly recommended to use the last three cycles for analysis. Data set notation: - All the datasets are noted by Sheep number. Sh7 = Sheep 7; Sh8 = Sheep 8; Sh9 = Sheep 9. In the publication, the numbers were switched to 1,2,3 respectively.<br> - files denoted with '_rec' contain the reconstruction of the projection images. <br> - 'Tested' or 'After test' files refers to the scan after mechanical testing.
description: This research has received funding from EIT Health (SOFTBONE, project nr 20519), supported by EIT, a body of the European Union and from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 812765.
DOI: 10.6084/m9.figshare.20944582
title: arius_dioctes_ragtag_1.fasta.gz

description: ......
DOI: 10.6084/m9.figshare.20944582.v1
title: arius_dioctes_ragtag_1.fasta.gz

description: ......
DOI: 10.6084/m9.figshare.20945560
title: model-09-05-22_13-03-02

description: Dataset of chessboard states (fen strings), Stockfish move probabilities, and position evaluations
DOI: 10.6084/m9.figshare.20945560.v1
title: model-09-05-22_13-03-02

description: Dataset of chessboard states (fen strings), Stockfish move probabilities, and position evaluations
DOI: 10.6084/m9.figshare.20783818
title: Data for ICSE2023

description: The dataset for paper: Data Quality Matters: A Case Study of Obsolete Comment Detection
DOI: 10.6084/m9.figshare.20783818.v3
title: Data for ICSE2023

description: The dataset for paper: Data Quality Matters: A Case Study of Obsolete Comment Detection
DOI: 10.6084/m9.figshare.20783818.v2
title: Data for ICSE2023

description: The dataset for paper: Data Quality Matters: A Case Study of Obsolete Comment Detection
DOI: 10.20375/0000-000f-73af-b
title: DocuDataCollection.pdf
DOI: 10.20375/0000-000f-73b0-8
title: original-data.sav
DOI: 10.20375/0000-000f-73b1-7
title: original-data.xlsx
DOI: 10.48320/93a06ba7-d254-44bb-85a6-fe3d3e025522
title: Navalny and „smart voting“ in the perception of the Russian population (Public Opinion Polls by the Levada Center)
DOI: 10.5517/ccdc.csd.cc2c4hcd
title: CCDC 2179063: Experimental Crystal Structure Determination

description: Related Article: Kaimin Wang, Lifeng Li, Liangzhu Yang, Jinrong Guo, Zhengliang Wang, Huaijun Tang, Yulu Ma|2022|Polyhedron|226|116092|doi:10.1016/j.poly.2022.116092
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: 10.18112/openneuro.ds003768.v1.0.6
title: Simultaneous EEG and fMRI signals during sleep from humans
DOI: 10.6084/m9.figshare.20946256
title: dataset-09-05-22_13-24-27

description: This description is a placeholder
DOI: 10.6084/m9.figshare.20946256.v1
title: dataset-09-05-22_13-24-27

description: This description is a placeholder
DOI: 10.6084/m9.figshare.20946262
title: model-09-05-22_13-24-33

description: Dataset of chessboard states (fen strings), Stockfish move probabilities, and position evaluations
DOI: 10.6084/m9.figshare.20946262.v1
title: model-09-05-22_13-24-33

description: Dataset of chessboard states (fen strings), Stockfish move probabilities, and position evaluations
DOI: 10.6084/m9.figshare.20946295
title: dataset-09-05-22_13-26-02

description: This description is a placeholder
DOI: 10.6084/m9.figshare.20946295.v1
title: dataset-09-05-22_13-26-02

description: This description is a placeholder
DOI: 10.18112/openneuro.ds003768.v1.0.7
title: Simultaneous EEG and fMRI signals during sleep from humans
DOI: 10.6084/m9.figshare.20945497
title: notarius_cookei_ragtag_1.fasta.gz

description: ........
DOI: 10.6084/m9.figshare.20945497.v1
title: notarius_cookei_ragtag_1.fasta.gz

description: ........
DOI: 10.6084/m9.figshare.20946325
title: dataset-09-05-22_13-27-25

description: This description is a placeholder
DOI: 10.6084/m9.figshare.20946325.v1
title: dataset-09-05-22_13-27-25

description: This description is a placeholder
DOI: 10.5281/zenodo.7039285
title: Dominant Rural Technological Trajectories (TTs) dataset at municipality level of the Brazilian Legal Amazon (BLA)

description: This dataset contains the dominant technological trajectories (TTs) of the Brazilian Legal Amazon (BLA) municipalities for the years of 1995, 2006 and 2017. The dominant trajectory is the one, among the six identified by Costa (2021), that is economically most important in the municipality. The relative share of the Gross Value of Rural Production of the trajectory in the total Gross Value of Rural Production in the municipality was taken as a proxy of economic importance. From the tabulation of the datasets in Costa (2022), the dominant technological trajectory was identified, it means, considering the methodology used, which of the six TTs was responsible for over 50% of the municipal Gross Value of Rural Production. The dominant TTs were calculated using the official municipal grid for the year the agricultural census was carried out. The dataset is organized as a .csv table, for each year (1995, 2006 and 2017), with a geographic key for each municipality (6-digit municipality code, 2-digit state code), that can be easily linked with municipality available shapefiles and other datasets. References: Costa, F. A. Structural diversity and change in rural Amazonia: a comparative assessment of the technological trajectories based on agricultural censuses (1995, 2006 and 2017). <strong>Nova econ</strong>. 31 (02), May-Aug 2021, doi:10.1590/0103-6351/6373. Costa, F. A, (2022). Database of Rural Technological Trajectories of the Legal Amazon delimited by the Method of Differentiation and Structural Signification of Rural Production (M-DASTRU). <strong>Zenodo.</strong> DOI: 10.5281/zenodo.7035753
DOI: 10.5281/zenodo.7039284
title: Dominant Rural Technological Trajectories (TTs) dataset at municipality level of the Brazilian Legal Amazon (BLA)

description: This dataset contains the dominant technological trajectories (TTs) of the Brazilian Legal Amazon (BLA) municipalities for the years of 1995, 2006 and 2017. The dominant trajectory is the one, among the six identified by Costa (2021), that is economically most important in the municipality. The relative share of the Gross Value of Rural Production of the trajectory in the total Gross Value of Rural Production in the municipality was taken as a proxy of economic importance. From the tabulation of the datasets in Costa (2022), the dominant technological trajectory was identified, it means, considering the methodology used, which of the six TTs was responsible for over 50% of the municipal Gross Value of Rural Production. The dominant TTs were calculated using the official municipal grid for the year the agricultural census was carried out. The dataset is organized as a .csv table, for each year (1995, 2006 and 2017), with a geographic key for each municipality (6-digit municipality code, 2-digit state code), that can be easily linked with municipality available shapefiles and other datasets. References: Costa, F. A. Structural diversity and change in rural Amazonia: a comparative assessment of the technological trajectories based on agricultural censuses (1995, 2006 and 2017). <strong>Nova econ</strong>. 31 (02), May-Aug 2021, doi:10.1590/0103-6351/6373. Costa, F. A, (2022). Database of Rural Technological Trajectories of the Legal Amazon delimited by the Method of Differentiation and Structural Signification of Rural Production (M-DASTRU). <strong>Zenodo.</strong> DOI: 10.5281/zenodo.7035753
DOI: 10.3886/e110782v2-126480
title: The Effects of Internet-Delivered Mindfulness Training on Stress, Coping, and Mindfulness in University Students

description: This deposit contains data and program files for generating the tables found in the article: "The Effects of Internet-Delivered Mindfulness Training on Stress, Coping, and Mindfulness in University Students," published in AERA Open in December, 2015.
description: University students aged 18-24.
description: web-based survey;
DOI: 10.6084/m9.figshare.20945728
title: Reports

description: Files for my genome analysis
DOI: 10.6084/m9.figshare.20945728.v1
title: Demo_23andme_Health.pdf

description: Files for my genome analysis
DOI: 10.6084/m9.figshare.20945728.v2
title: Reports

description: Files for my genome analysis
DOI: 10.13011/m3-gzaj-8566
title: PRISMS-Fatigue: Surface roughness and notch effects
DOI: 10.5281/zenodo.7051222
title: Synthetic cryo electron microscopy single particle images containing biomolecular complexes with continuous conformational variability used for validating DeepHEMNMA method and validation results

description: This archive contains a synthetic dataset used for validating DeepHEMNMA method and the validation results. DeepHEMNMA is a deep learning extension of HEMNMA approach for analyzing continuous conformational variability of biomolecular complexes in cryo electron (cryo-EM) microscopy single particle images. We provide a training set of 20,000 images and an inference set of 50,000 images. The training images were used (1) to estimate the conformational and rigid-body parameters with HEMNMA and (2) to train the neural network using the parameters previously estimated with HEMNMA (the file with the HEMNMA-estimated parameters is provided). The inference images were used to infer the parameters with the trained neural network. Also, we provide (1) the input PDB structure, its normal modes, and the conformational and rigid-body parameters used to synthesize the 20,000 training images (ground-truth parameters) and (2) the conformational and rigid-body parameters inferred from the set of 50,000 inference images. The DeepHEMNMA method and the method for synthesizing images have been fully described in the following article: "Hamitouche I and Jonic S (2022), DeepHEMNMA: ResNet-based hybrid analysis of continuous conformational heterogeneity in cryo-EM single particle images. Front Mol Biosci 9, 965645. https://doi.org/10.3389/fmolb.2022.965645 (in press)". Additionally, this article describes a test of DeepHEMNMA using one experimental cryo-EM dataset (available in EMPIAR database under the accession code EMPIAR-10016).