cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc25tq3v
title: CCDC 2020707: Experimental Crystal Structure Determination

description: Related Article: Jianmin Jiao, Baobao Sun, Yihan Ding, Hao Zheng, Yue Zhao, Juli Jiang, Chen Lin, Leyong Wang|2020|Org.Lett.|22|8984|doi:10.1021/acs.orglett.0c03385
DOI: 10.5517/ccdc.csd.cc25tq4w
title: CCDC 2020708: Experimental Crystal Structure Determination

description: Related Article: Jianmin Jiao, Baobao Sun, Yihan Ding, Hao Zheng, Yue Zhao, Juli Jiang, Chen Lin, Leyong Wang|2020|Org.Lett.|22|8984|doi:10.1021/acs.orglett.0c03385
DOI: 10.5517/ccdc.csd.cc25yywz
title: CCDC 2024792: Experimental Crystal Structure Determination

description: Related Article: Jianmin Jiao, Baobao Sun, Yihan Ding, Hao Zheng, Yue Zhao, Juli Jiang, Chen Lin, Leyong Wang|2020|Org.Lett.|22|8984|doi:10.1021/acs.orglett.0c03385
DOI: 10.21227/nwrb-mf82
title: Retrieval results of aerosol effective height

description: The data here support the retrieval results presented in the submitted paper in IEEE Transactions on Geoscience and Remote Sensing, 'First TROPOMI Retrieval of Aerosol Effective Height using O4 Absorption Band at 477 nm and Aerosol Classification'.The aerosol effective height (AEH) was retrieved from TROPOMI measurements based on the O4 absorption at 477 nm. The AEHs were retrieved over Northeast Asia, South Africa, and Sahara Desert during some case study periods.
DOI: 10.21227/jwqe-xg15
title: Retrieval results of aerosol effective height

description: The data here support the retrieval results presented in the submitted paper in IEEE Transactions on Geoscience and Remote Sensing, 'First TROPOMI Retrieval of Aerosol Effective Height using O4 Absorption Band at 477 nm and Aerosol Classification'.The aerosol effective height (AEH) was retrieved from TROPOMI measurements based on the O4 absorption at 477 nm. The AEHs were retrieved over Northeast Asia, South Africa, and Sahara Desert during some case study periods.
DOI: 10.25646/7694
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.6084/m9.figshare.13297883
title: Sorghum genes that own more than 2 systenic genes in M lutarioriparius

description: The text contains the sorghum genes that has more than two systemic genes in M. lutarioriparius genome
DOI: 10.6084/m9.figshare.13297883.v1
title: Sorghum genes that own more than 2 systenic genes in M lutarioriparius

description: The text contains the sorghum genes that has more than two systemic genes in M. lutarioriparius genome
DOI: 10.6084/m9.figshare.13297820
title: NBME-18-0072E

description: Raw data for making the graphs.
DOI: 10.6084/m9.figshare.13297820.v1
title: NBME-18-0072E

description: Raw data for making the graphs.
DOI: 10.17632/6vbyfyhd7y.1
title: Influence of the sample preparation on the multi scale texture of sand clay simplified soils for geotechnical applications - MIP and X-ray Tomography raw data

description: 1-Raw results of porosimetry on S1, S2 and S3 samples. 2-Raw X-ray scans of S1, S2, S3 samples.
DOI: 10.6084/m9.figshare.13297946
title: Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm

description: This is the experimental data of the manuscript entitled “Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm ”. All data are generated through computer simulation and saved in the file with csv format. The first folder "1.SRRSP benchmark problem instances" includes 21SRRSP benchmark problem instances, the second folder "2.Additional data used to verify the practicability of considering multiple scenarios" contains the addition data required to demonstrate the practicability of considering multiple scenarios, the third folder "3.Additional data used to verify the practicability of variable start-up batch size constraint" contains the the addition data required to demonstrate the practicability of variable start-up batch size constraint. These datasets show the number of scenarios, the number of remanufacturing jobs, the number of operations for each job, the number of remanufacturing machines, the maximum batch size of batch processing machines, and the minimum batch size of batch processing machines. The value of variance factor, the probability of the occurrence of each scenario, the index of the batch processing machine, the index of the batch processing operation, the arrival time of each remanufacturing job, the set of machines available for each operation, and the processing time of each operation on the available machines are also shown in the datasets. And the fourth folder "4.The standard for generating the arrival time and processing time of EOL products in each scenario in each instances"contains the standard used to generate the arrival time and processing time of EOL products in each scenario in each instances.
DOI: 10.6084/m9.figshare.13297946.v1
title: Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm

description: This is the experimental data of the manuscript entitled “Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm ”. All data are generated through computer simulation and saved in the file with csv format. The first folder "1.SRRSP benchmark problem instances" includes 21SRRSP benchmark problem instances, the second folder "2.Additional data used to verify the practicability of considering multiple scenarios" contains the addition data required to demonstrate the practicability of considering multiple scenarios, the third folder "3.Additional data used to verify the practicability of variable start-up batch size constraint" contains the the addition data required to demonstrate the practicability of variable start-up batch size constraint. These datasets show the number of scenarios, the number of remanufacturing jobs, the number of operations for each job, the number of remanufacturing machines, the maximum batch size of batch processing machines, and the minimum batch size of batch processing machines. The value of variance factor, the probability of the occurrence of each scenario, the index of the batch processing machine, the index of the batch processing operation, the arrival time of each remanufacturing job, the set of machines available for each operation, and the processing time of each operation on the available machines are also shown in the datasets. And the fourth folder "4.The standard for generating the arrival time and processing time of EOL products in each scenario in each instances"contains the standard used to generate the arrival time and processing time of EOL products in each scenario in each instances.
DOI: 10.6084/m9.figshare.13298021.v1
title: Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm

description: This is the experimental data of the manuscript entitled “Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm ”. All data are generated through computer simulation and saved in the file with csv format. The first folder "1.SRRSP benchmark problem instances" includes 21SRRSP benchmark problem instances, the second folder "2.Additional data used to verify the practicability of considering multiple scenarios" contains the addition data required to demonstrate the practicability of considering multiple scenarios, the third folder "3.Additional data used to verify the practicability of variable start-up batch size constraint" contains the the addition data required to demonstrate the practicability of variable start-up batch size constraint. These datasets show the number of scenarios, the number of remanufacturing jobs, the number of operations for each job, the number of remanufacturing machines, the maximum batch size of batch processing machines, and the minimum batch size of batch processing machines. The value of variance factor, the probability of the occurrence of each scenario, the index of the batch processing machine, the index of the batch processing operation, the arrival time of each remanufacturing job, the set of machines available for each operation, and the processing time of each operation on the available machines are also shown in the datasets. And the fourth folder "4.The standard for generating the arrival time and processing time of EOL products in each scenario in each instances" contains the standard used to generate the arrival time and processing time of EOL products in each scenario in each instances.
DOI: 10.6084/m9.figshare.13298021
title: Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm

description: This is the experimental data of the manuscript entitled “Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm ”. All data are generated through computer simulation and saved in the file with csv format. The first folder "1.SRRSP benchmark problem instances" includes 21SRRSP benchmark problem instances, the second folder "2.Additional data used to verify the practicability of considering multiple scenarios" contains the addition data required to demonstrate the practicability of considering multiple scenarios, the third folder "3.Additional data used to verify the practicability of variable start-up batch size constraint" contains the the addition data required to demonstrate the practicability of variable start-up batch size constraint. These datasets show the number of scenarios, the number of remanufacturing jobs, the number of operations for each job, the number of remanufacturing machines, the maximum batch size of batch processing machines, and the minimum batch size of batch processing machines. The value of variance factor, the probability of the occurrence of each scenario, the index of the batch processing machine, the index of the batch processing operation, the arrival time of each remanufacturing job, the set of machines available for each operation, and the processing time of each operation on the available machines are also shown in the datasets. And the fourth folder "4.The standard for generating the arrival time and processing time of EOL products in each scenario in each instances" contains the standard used to generate the arrival time and processing time of EOL products in each scenario in each instances.
DOI: 10.5281/zenodo.4088698
title: GenISW_SimData

description: <strong>GenISW_SimData</strong> Maps of the Integrated Sachs-Wolfe and ancillary data are provided for the following N-body simulations. The techniques used to construct the maps are provided in *link*. <strong>Simulations</strong> If you would like to add ISW maps for your own N-body simulations please get in touch. MICE for contributions between 0&lt;z&lt;1.4 using the following methods: Spherical Bessel Transform with normal and derivative boundary conditions. Wiener filter. Francis & Peacock (2010) approximation. Divided into redshift bins of Delta_z=0.2. <strong>Data Products</strong> ISW maps at nside=256 in units of K. ISW alms in units of K. Columns: real, imaginary. To generate HEALPix map with the desired nside. <pre><code class="language-python">import numpy as np import healpy as hp alm_fname = #provide name to alm file nside = #provide desired nside for map data = np.loadtxt(alm_fname, unpack=True) alm = data[0] + 1j*data[1] isw_map = hp.alm2map(alm, nside)</code></pre> Theoretical angular power spectra (Cls, which are provided unitless) with columns: l: spherical harmonic l modes. cl_ii: ISW auto-angular power spectra. cl_id: ISW-density cross-angular power spectra. cl_dd: Density auto-angular power spectra. cl_ii_limber: ISW auto-angular power spectra using the limber approximation. cl_id_limber: ISW-density cross-angular power spectra using the limber approximation. cl_dd_limber: Density auto-angular power spectra using the limber approximation. Note: ISW maps and alms have already been multiplied by Tcmb = 2.7255. <strong>Citing</strong> Please provide a link to this repository using the DOI link https://doi.org/10.5281/zenodo.4088698 and cite the following paper. <strong>Contact</strong> Email: knaidoo@cft.edu.pl
DOI: 10.15468/t8z9nz
title: The genus Lycianthes (Solanaceae, Capsiceae) in Mexico and Guatemala

description: This dataset contains the digitized treatments in Plazi based on the original journal article Dean, Ellen, Poore, Jennifer, Anguiano-Constante, Marco Antonio, Nee, Michael H., Kang, Hannah, Starbuck, Thomas, Rodrigues, Annamarie, Conner, Matthew (2020): The genus Lycianthes (Solanaceae, Capsiceae) in Mexico and Guatemala. PhytoKeys 168: 1-333, DOI: http://dx.doi.org/10.3897/phytokeys.168.51904, URL: http://dx.doi.org/10.3897/phytokeys.168.51904
DOI: 10.6084/m9.figshare.13295750.v1
title: Test data for ENIGMA Halfpipe's implementation of the FSL FLAME mixed effects model algorithm

description: Test data<br>
DOI: 10.6084/m9.figshare.13295750
title: Test data for ENIGMA Halfpipe's implementation of the FSL FLAME mixed effects model algorithm

description: Test data<br>
DOI: 10.5519/qd.ezchiw6v
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (23 records)
DOI: 10.5519/qd.tb47wlev
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5 records)
DOI: 10.5519/qd.74w9qt01
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (11 records)
DOI: 10.5281/zenodo.822594
title: Vanuatu-Coconut-CDMdata-VT

description: Fichier zippé (VT.7z) regroupant tous les fichiers de données de production cocotier du Vanuatu ( format CDM) jusqu'en décembre 2010.
DOI: 10.5281/zenodo.822593
title: Vanuatu-Coconut-CDMdata-VT

description: Fichier zippé (VT.7z) regroupant tous les fichiers de données de production cocotier du Vanuatu ( format CDM) jusqu'en décembre 2010.
DOI: 10.5281/zenodo.4294745
title: Experimental and numerical data of an article on the prediction of wind load on pylons for a neutral atmospheric boundary layer ow over two successive hills

description: his deposit contains experimental and numerical data related to the article entitled "Towards prediction of wind load on pylons for a neutral atmospheric boundary layer flow over two successive hills" that will be publised in Journal of Wind Engineering & Industrial Aerodynamics. It consists in post-processed experimental data (turbulence statistics) for flows around 2D hills, measured by PIV, and numerical date of k-epsilon simulations of the same configirations. All data are provided in matlab metadata format. Matlab functions are given to plot all the figures of the article.
DOI: 10.5281/zenodo.4294744
title: Experimental and numerical data of an article on the prediction of wind load on pylons for a neutral atmospheric boundary layer ow over two successive hills

description: his deposit contains experimental and numerical data related to the article entitled "Towards prediction of wind load on pylons for a neutral atmospheric boundary layer flow over two successive hills" that will be publised in Journal of Wind Engineering & Industrial Aerodynamics. It consists in post-processed experimental data (turbulence statistics) for flows around 2D hills, measured by PIV, and numerical date of k-epsilon simulations of the same configirations. All data are provided in matlab metadata format. Matlab functions are given to plot all the figures of the article.
DOI: 10.5281/zenodo.4294733
title: GenISW: Simulated Integrated Sachs-Wolfe Maps

description: Maps of the Integrated Sachs-Wolfe and ancillary data are provided for the following N-body simulations: MICE Grand Challenge Lightcone Simulation <strong>File Structure</strong> <em>MICE_ISW_map_zmin_0.0_zmax_1.4_SBT_normal_nside_256.fits</em><br> Main ISW map for MICE in healpix format at nside=256 for constributions from z = 0 to 1.4 constructed from normal boundary spherical Bessel transforms. <em>MICE_alm_zmin_0.0_zmax_1.4_SBT_normal.txt</em><br> Alms for the above, to generate maps at the desired nside <em>MICE_Full.zip</em><br> ISW maps, alms and theory cls for MICE ISW for contribution from z = 0 to 1.4 <em>MICE_dz_02.zip</em><br> Same as above except these are divided into redshift bins of dz=0.2 <strong>Methods</strong> Spherical Bessel Transform with normal and derivative boundary conditions. Wiener filter. Francis & Peacock (2010) approximation. <strong>Data Products</strong> ISW maps in healpix format at nside=256 in units of K. ISW alms in units of K provided in ascii format Columns: real, imaginary. To generate HEALPix map with the desired nside: <pre><code class="language-python">import numpy as np import healpy as hp alm_fname = #provide name to alm file nside = #provide desired nside for map data = np.loadtxt(alm_fname, unpack=True) alm = data[0] + 1j*data[1] isw_map = hp.alm2map(alm, nside)</code></pre> Theoretical angular power spectra (Cls, which are provided unitless) with columns: l: spherical harmonic l modes. cl_ii: ISW auto-angular power spectra. cl_id: ISW-density cross-angular power spectra. cl_dd: Density auto-angular power spectra. cl_ii_limber: ISW auto-angular power spectra using the limber approximation. cl_id_limber`: ISW-density cross-angular power spectra using the limber approximation. cl_dd_limber: Density auto-angular power spectra using the limber approximation. Note: ISW maps and alms have already been multiplied by Tcmb = 2.7255. <strong>Citing</strong> Please cite the DOI for the zenodo repository. <strong>Contact</strong> Email: knaidoo@cft.edu.pl
DOI: 10.5281/zenodo.4294761
title: Material Particulado de 10 Estaciones en la Mina de Cerrejón, La Guajira, Colombia

description: Datos de material particulado de 10 de las estaciones Provincial, Barrancas y Sol y Sombra, y la producción de carbón registrada desde el 2010-2019 en Cerrejón la Guajira, Colombia
description: {"references": ["SISAIRE, IDEAM, El Cerrej\u00f3n"]}
DOI: 10.5281/zenodo.4294760
title: Material Particulado de 10 Estaciones en la Mina de Cerrejón, La Guajira, Colombia

description: Datos de material particulado de 10 de las estaciones Provincial, Barrancas y Sol y Sombra, y la producción de carbón registrada desde el 2010-2019 en Cerrejón la Guajira, Colombia
description: {"references": ["SISAIRE, IDEAM, El Cerrej\u00f3n"]}
DOI: 10.5281/zenodo.4294769
title: Data for "Figures of merit for stellarators near the magnetic axis"

description: Data for figures in the paper "Figures of merit for stellarators near the magnetic axis"
DOI: 10.5281/zenodo.4294768
title: Data for "Figures of merit for stellarators near the magnetic axis"

description: Data for figures in the paper "Figures of merit for stellarators near the magnetic axis"
DOI: 10.17632/vb8f38ss2t.1
title: Data for: Three years of weekly observations of coastal cliff erosion by waves and rainfall

description: Data for: Three years of weekly observations of coastal cliff erosion by waves and rainfall
DOI: 10.17632/k8z6cmzvjh.1
title: Data for: The significance of Upper Jurassic felsic volcanic rocks within the incipient, intra-oceanic Dras Arc, Ladakh, NW Himalaya.

description: Table S1: Description and locality of samples from the Dras Volcanics (felsic tuff and trachydacite) and Kargil Intrusives (granodiorite-diorite-gabbro). Table S2: Whole rock major (wt.%) and trace (ppm) element compositions of representative samples from the Dras Volcanics and Kargil Intrusives. The geochemical analyses presented are combined with previous analyses of the Dras Volcanics, Kargil Intrusives, Spongtang Ophiolite-Spong Arc complex, Zedong terrane and Luobusha Ophiolite (Aitchison et al., 2007; Bhat et al., 2019; Buckman et al., 2018; Corfield et al., 2001; Liu et al., 2020; Malpas et al., 2003; Zhang et al., 2014; Zhong, 2006). Table S3: Zircon U-Pb results using LA-ICP-MS from the Dras Volcanics (samples 17NI05: felsic tuff and 17NI12: trachydacite) and Kargil Intrusives (samples 17KG01: granodiorite, 17KG02: diorite, 17KG04: granodiorite). All analytical errors are given a 1σ. Samples highlighted in red have been rejected with comments provided.
DOI: 10.5281/zenodo.4294725
title: Dataset for Freedom to Choose between Public Resources Promotes Cooperation

description: This dataset contains Matlab codes and Matlab data for "Freedom to choose between Public Resources promotes Cooperation". For a description of the dataset see the text file, "Description", in the dataset.
description: {"references": ["Salahshour, M., 2020. Competition Between Public Resources Promotes Cooperation. bioRxiv. https://doi.org/10.1101/2020.09.30.320382"]}
DOI: 10.5281/zenodo.4294724
title: Dataset for Freedom to Choose between Public Resources Promotes Cooperation

description: This dataset contains Matlab codes and Matlab data for "Freedom to choose between Public Resources promotes Cooperation". For a description of the dataset see the text file, "Description", in the dataset.
description: {"references": ["Salahshour, M., 2020. Competition Between Public Resources Promotes Cooperation. bioRxiv. https://doi.org/10.1101/2020.09.30.320382"]}
DOI: 10.5281/zenodo.4294785
title: Data for Predictors of young people's access to and utilization of sexual and reproductive health services (SRHS) in Enugu State, Nigeria

description: Data of a manuscript titled "Predictors of young people’s use of sexual and reproductive health services in Nigeria: a mixed-method approach" submitted to BMC Public Health
DOI: 10.5281/zenodo.4294784
title: Data for Predictors of young people's access to and utilization of sexual and reproductive health services (SRHS) in Enugu State, Nigeria

description: Data of a manuscript titled "Predictors of young people’s use of sexual and reproductive health services in Nigeria: a mixed-method approach" submitted to BMC Public Health
DOI: 10.34740/kaggle/dsv/1693333
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5519/qd.4bb63bh5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5517/ccsbwlk
title: CCDC 725449: Experimental Crystal Structure Determination

description: Related Article: B.L.Barker,C.Thomas,G.G.Stanley,F.R.Fronczek|2009|CSD Communication|||
DOI: 10.6084/m9.figshare.1540811
title: Movement want_craving_SCALE data_CFA Master from Todd_444 participants_FEB 25 2014.sav

description: data for the CFA posted on Sept 13, 2015
DOI: 10.5281/zenodo.4294325
title: Database of Last Interglacial Sea-level Proxies in and around Japan

description: This spreadsheet is a record of the relative sea-level proxies in and around Japan. It has been exported from "The World Atlas of Last Interglacial Shorelines (WALIS) database (https://warmcoasts.eu/world-atlas.html).
DOI: 10.5281/zenodo.4294820
title: Performance of MF

description: You are req
DOI: 10.5281/zenodo.4294819
title: Performance of MF

description: You are req
DOI: 10.5281/zenodo.4167319
title: Supplementary Material: "A Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data"

description: <strong>Supplementary Material</strong> This material regards the paper entitled "<em>A Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data</em>". The Readme.txt file explains all the contents of the data package, which consists of the data supporting the paper and the MATLAB script for the Individual Tree Detection and Measurement (ITDM). Please cite the related article if using the data or the script.