cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5715919
title: Emission and Deposition of Atmospheric Dust from Continental Shelf of the East China Sea: Evidence from Shengshan Island Loess

description: The dataset for supporting the paper "Emission and Deposition of Atmospheric Dust from Continental Shelf of the East China Sea: Evidence from Shengshan Island Loess".
DOI: 10.5281/zenodo.5715918
title: Emission and Deposition of Atmospheric Dust from Continental Shelf of the East China Sea: Evidence from Shengshan Island Loess

description: The dataset for supporting the paper "Emission and Deposition of Atmospheric Dust from Continental Shelf of the East China Sea: Evidence from Shengshan Island Loess".
DOI: 10.5517/ccdc.csd.cc27slc0
title: CCDC 2079212: Experimental Crystal Structure Determination

description: Related Article: Jiayuan Zhang|2021|CSD Communication|||
DOI: 10.6084/m9.figshare.17054564
title: supplementary data for fineSTRUCTURE analysis of Vibrio fluvialis

description: these are supplementary data for fineSTRUCTURE analysis
DOI: 10.5281/zenodo.5713637
title: Helsinki Deblur Challenge 2021 test dataset

description: This dataset was primarily designed and captured to be used for the testing part of the Helsinki Deblur Challenge 2021 but it can be used for any testing and benchmarking purposes of image deblurring algorithms. The dataset contains photographs of random strings of text (including numbers), natural images and QR codes with varying levels of blur caused by misfocusing the camera. Each photo has both a blurred and sharp version. The images are split into 4 separate zip files each having 5 steps of different blur. Altogether there are 20 steps. Each one of the zip files contains two folders, one folder named CAM1_focused (Camera 1) with the sharp images and one named CAM2_blurred (Camera 2) with the blurred images. For each step there are 40 images of text character targets, 15 natural image targets, one QR-code target and 3 images of technical targets. Each one of the text target images is accompanied by a text file (same file name but .txt extension) containing the correct transcription of that particular text target. As a difference to the HDC training data (https://doi.org/10.5281/zenodo.4916176) the test data character targets include also numbers. A detailed description of the training dataset that was acquired in the exact same way as this test dataset can be found here: http://arxiv.org/abs/2105.10233 Here is a link to the official webpage of the Helsinki Deblur Challenge 2021: https://www.fips.fi/HDC2021.php
DOI: 10.5281/zenodo.5713636
title: Helsinki Deblur Challenge 2021 test dataset

description: This dataset was primarily designed and captured to be used for the testing part of the Helsinki Deblur Challenge 2021 but it can be used for any testing and benchmarking purposes of image deblurring algorithms. The dataset contains photographs of random strings of text (including numbers), natural images and QR codes with varying levels of blur caused by misfocusing the camera. Each photo has both a blurred and sharp version. The images are split into 4 separate zip files each having 5 steps of different blur. Altogether there are 20 steps. Each one of the zip files contains two folders, one folder named CAM1_focused (Camera 1) with the sharp images and one named CAM2_blurred (Camera 2) with the blurred images. For each step there are 40 images of text character targets, 15 natural image targets, one QR-code target and 3 images of technical targets. Each one of the text target images is accompanied by a text file (same file name but .txt extension) containing the correct transcription of that particular text target. As a difference to the HDC training data (https://doi.org/10.5281/zenodo.4916176) the test data character targets include also numbers. A detailed description of the training dataset that was acquired in the exact same way as this test dataset can be found here: http://arxiv.org/abs/2105.10233 Here is a link to the official webpage of the Helsinki Deblur Challenge 2021: https://www.fips.fi/HDC2021.php
DOI: 10.5281/zenodo.5128391
title: Safeguarding the energy transition against political backlash to carbon markets - figure raw data

description: Figure raw data for the article "Safeguarding the energy transition against political backlash to carbon markets" (published in Nature Energy).
DOI: 10.5281/zenodo.4629320
title: Safeguarding the energy transition against political backlash to carbon markets - figure raw data

description: Figure raw data for the article "Safeguarding the energy transition against political backlash to carbon markets" (published in Nature Energy).
DOI: 10.15161/oar.it/74269
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5281/zenodo.5715908
title: Inputdata for AF2000climo

description: Input data necessary to run a spectral element CESM2-3-beta06 case with the F2000 compset
DOI: 10.5281/zenodo.5715907
title: Inputdata for AF2000climo

description: Input data necessary to run a spectral element CESM2-3-beta06 case with the F2000 compset
DOI: 10.5281/zenodo.5519919
title: Workflow notebooks for deriving parameter of SUEWS v2020 based on FLUXNET2015 dataset

description: This archive includes all supportive files (processing and simulation scripts and derived parameters) for revision of GMD-2020-148. 1. ana.zip: scripts for parameter derivation and and result analysis. 2. data.zip: preprocessed FLUXNET data and derived parameters. 3. sim.zip: scripts for conducting SUEWS simulations. Please note: due to the Zenodo upload restriction, the simulation results are archived separately at:
DOI: 10.5281/zenodo.5519918
title: Workflow notebooks for deriving parameter of SUEWS v2020 based on FLUXNET2015 dataset

description: This archive includes all supportive files (processing and simulation scripts and derived parameters) for revision of GMD-2020-148. 1. ana.zip: scripts for parameter derivation and and result analysis. 2. data.zip: preprocessed FLUXNET data and derived parameters. 3. sim.zip: scripts for conducting SUEWS simulations. Please note: due to the Zenodo upload restriction, the simulation results are archived separately at:
DOI: 10.6084/m9.figshare.17055461
title: Annotations of non-coding RNAs

description: Annotations of non-coding RNAs
DOI: 10.6084/m9.figshare.17055461.v1
title: Annotations of non-coding RNAs

description: Annotations of non-coding RNAs
DOI: 10.6084/m9.figshare.17049227
title: eggNOG annotation results

description: eggNOG annotation results
DOI: 10.6084/m9.figshare.17049227.v1
title: eggNOG annotation results

description: eggNOG annotation results
DOI: 10.6084/m9.figshare.17055470
title: Annotation file of MAKER-annotated protein-coding genes

description: Annotation file of MAKER-annotated protein-coding genes
DOI: 10.5281/zenodo.5716005
title: pseudolaguvia_shawi SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5716004
title: pseudolaguvia_shawi SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.17055473
title: Coding sequences of MAKER-annotated protein-coding genes

description: Coding sequences of MAKER-annotated protein-coding genes
DOI: 10.6084/m9.figshare.17055473.v1
title: Coding sequences of MAKER-annotated protein-coding genes

description: Coding sequences of MAKER-annotated protein-coding genes
DOI: 10.6084/m9.figshare.17055476
title: Amino-acid sequences of MAKER-annotated protein-coding genes

description: Amino-acid sequences of MAKER-annotated protein-coding genes
DOI: 10.6084/m9.figshare.17055476.v1
title: Amino-acid sequences of MAKER-annotated protein-coding genes

description: Amino-acid sequences of MAKER-annotated protein-coding genes
DOI: 10.25646/9292
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: 10.34740/kaggle/dsv/2832736
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.17055479.v1
title: Transcripts of MAKER-annotated protein-coding genes

description: Transcripts of MAKER-annotated protein-coding genes
DOI: 10.6084/m9.figshare.17055479
title: Transcripts of MAKER-annotated protein-coding genes

description: Transcripts of MAKER-annotated protein-coding genes
DOI: 10.34740/kaggle/dsv/2832754
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.5715981
title: EDEN2020 Ovine Diffusion Tensor Magnetic Resonance Tractography Atlas

description: This dataset has been created to share the first <em>in vivo, </em>population-averaged Diffusion Tensor Magnetic Resonance Imaging (DTI) Ovine Tractography Atlas (OTA), where the course of the main white matter fiber bundles of the ovine brain has been reconstructed. The OTA has been described in the related paper ‘In vivo Diffusion Tensor Magnetic Resonance Tractography of the Sheep Brain: An Atlas of the Ovine White Matter Fiber Bundles’ by Pieri <em>et al. </em>(2019) https://doi.org/10.3389/fvets.2019.00345 In the context of the EU’s Horizon EDEN2020 project, in vivo brain MRI protocol for ovine animal models was optimized on a 1.5T scanner. High resolution conventional MRI scans and DTI sequences (b-value = 1,000 s/mm<sup>2</sup>, 15 directions) were acquired on ten anesthetized sheep <em>ovis aries</em>, to define the diffusion features of normal adult ovine brain tissue. Topography of the ovine cortex was studied, and DTI maps were derived, to perform DTI deterministic tractography reconstruction of the corticospinal tract (CST), corpus callosum (CC), fornix (FX), visual pathway (VP), and occipitofrontal fascicle (OF), bilaterally for all the animals. Binary masks of the tracts were then coregistered and reported in the space of a standard stereotaxic ovine reference system ('ovine_model_05.nii', Nitzsche B. <em>et al.</em>, <em>Front. Neuroanat.</em> 9:69. https://doi.org/10.3389/fnana.2015.00069). Finally, these were combined across animals to obtain population probability masks for each tract, representing voxel- by-voxel probability of the presence of the tract in the 10 animals, thus ranged between 0 and 10. Please don't forget to cite this publication when using the Ovine Tractography Atlas: Pieri V., Trovatelli M., Cadioli M., Zani D.D., Brizzola S., Ravasio G., Acocella F., Di Giancamillo M., Malfassi L., Dolera M., Riva M., Bello L., Falini A., & Castellano A. (2019). In vivo Diffusion Tensor Magnetic Resonance Tractography of the Sheep Brain: An Atlas of the Ovine White Matter Fiber Bundles. <em>Front Vet Sci, 6</em>(345), 345 https://doi.org/10.3389/fvets.2019.00345 This work has been carried out in the context of the EDEN2020 (Enhanced Delivery Ecosystem for Neurosurgery in 2020, www.eden2020.eu) project, that received funding from the European Union’s EU Research and Innovation programme Horizon 2020 under Grant Agreement No. 688279.
description: {"references": ["Pieri V., Trovatelli M., Cadioli M., Zani D.D., Brizzola S., Ravasio G., Acocella F., Di Giancamillo M., Malfassi L., Dolera M., Riva M., Bello L., Falini A., & Castellano A. (2019). In vivo Diffusion Tensor Magnetic Resonance Tractography of the Sheep Brain: An Atlas of the Ovine White Matter Fiber Bundles. Front Vet Sci, 6(345), 345 https://doi.org/10.3389/fvets.2019.00345"]}
DOI: 10.5281/zenodo.5715980
title: EDEN2020 Ovine Diffusion Tensor Magnetic Resonance Tractography Atlas

description: This dataset has been created to share the first <em>in vivo, </em>population-averaged Diffusion Tensor Magnetic Resonance Imaging (DTI) Ovine Tractography Atlas (OTA), where the course of the main white matter fiber bundles of the ovine brain has been reconstructed. The OTA has been described in the related paper ‘In vivo Diffusion Tensor Magnetic Resonance Tractography of the Sheep Brain: An Atlas of the Ovine White Matter Fiber Bundles’ by Pieri <em>et al. </em>(2019) https://doi.org/10.3389/fvets.2019.00345 In the context of the EU’s Horizon EDEN2020 project, in vivo brain MRI protocol for ovine animal models was optimized on a 1.5T scanner. High resolution conventional MRI scans and DTI sequences (b-value = 1,000 s/mm<sup>2</sup>, 15 directions) were acquired on ten anesthetized sheep <em>ovis aries</em>, to define the diffusion features of normal adult ovine brain tissue. Topography of the ovine cortex was studied, and DTI maps were derived, to perform DTI deterministic tractography reconstruction of the corticospinal tract (CST), corpus callosum (CC), fornix (FX), visual pathway (VP), and occipitofrontal fascicle (OF), bilaterally for all the animals. Binary masks of the tracts were then coregistered and reported in the space of a standard stereotaxic ovine reference system ('ovine_model_05.nii', Nitzsche B. <em>et al.</em>, <em>Front. Neuroanat.</em> 9:69. https://doi.org/10.3389/fnana.2015.00069). Finally, these were combined across animals to obtain population probability masks for each tract, representing voxel- by-voxel probability of the presence of the tract in the 10 animals, thus ranged between 0 and 10. Please don't forget to cite this publication when using the Ovine Tractography Atlas: Pieri V., Trovatelli M., Cadioli M., Zani D.D., Brizzola S., Ravasio G., Acocella F., Di Giancamillo M., Malfassi L., Dolera M., Riva M., Bello L., Falini A., & Castellano A. (2019). In vivo Diffusion Tensor Magnetic Resonance Tractography of the Sheep Brain: An Atlas of the Ovine White Matter Fiber Bundles. <em>Front Vet Sci, 6</em>(345), 345 https://doi.org/10.3389/fvets.2019.00345 This work has been carried out in the context of the EDEN2020 (Enhanced Delivery Ecosystem for Neurosurgery in 2020, www.eden2020.eu) project, that received funding from the European Union’s EU Research and Innovation programme Horizon 2020 under Grant Agreement No. 688279.
description: {"references": ["Pieri V., Trovatelli M., Cadioli M., Zani D.D., Brizzola S., Ravasio G., Acocella F., Di Giancamillo M., Malfassi L., Dolera M., Riva M., Bello L., Falini A., & Castellano A. (2019). In vivo Diffusion Tensor Magnetic Resonance Tractography of the Sheep Brain: An Atlas of the Ovine White Matter Fiber Bundles. Front Vet Sci, 6(345), 345 https://doi.org/10.3389/fvets.2019.00345"]}
DOI: 10.5281/zenodo.5578517
title: Geolocation of Brazilian Municipalities

description: Geolocation of Brazilian Municipalities. Columns: idx, municipality name, state, region, priority*, latitude, longitude. Priority column means if the municipality is part of the priorities municipalities covered by "Syphilis No" Project defined by the Brazilian Ministry of Health to fight syphilis epidemic in the country.
DOI: 10.5281/zenodo.5578516
title: Geolocation of Brazilian Municipalities

description: Geolocation of Brazilian Municipalities. Columns: idx, municipality name, state, region, priority*, latitude, longitude. Priority column means if the municipality is part of the priorities municipalities covered by "Syphilis No" Project defined by the Brazilian Ministry of Health to fight syphilis epidemic in the country.
DOI: 10.26188/15170916.v1
title: Summary of the direction and category of effects of analysed variants on 37 traits

description: Please read the word document for description of the dataset.
DOI: 10.26188/15170916
title: Summary of the direction and category of effects of analysed variants on 37 traits

description: Please read the word document for description of the dataset.
DOI: 10.26188/15170922
title: Allele frequency of mutant alleles in Holstein and Jersey from the 1000 Bull Genomes

description: Please see the word document for the description of the data.
DOI: 10.26188/15170928
title: Coordinates of cattle conserved sites

description: Please see the word document for the description of the dataset.
DOI: 10.26188/15170928.v1
title: Coordinates of cattle conserved sites

description: Please see the word document for the description of the dataset.
DOI: 10.26188/16869957
title: Source data for Mutant alleles differentially shape fitness and other complex traits in cattle

description: Source data for figures of manuscript 'Mutant alleles differentially shape fitness and other complex traits in cattle' (https://www.biorxiv.org/content/10.1101/2021.04.19.440546v2)
DOI: 10.5281/zenodo.4724365
title: Tropical Cyclone Characteristics Represented by the Ocean Wave Coupled Atmospheric Global Climate Model Incorporating Wave-Dependent Momentum Flux

description: This is dataset of global climate model simulation used in the paper "Tropical Cyclone Characteristics Represented by the Ocean Wave Coupled Atmospheric Global Climate Model Incorporating Wave-Dependent Momentum Flux" by Shimura et al. (2021) Followings are the explanation of data file. *** File naming rule ***<br> {data_group_name}_Exp{experiment_name}_TCnumber{tropical_cyclone_case_number}.nc data_group_name<br> - atm<br> - track experiment_name<br> - Wind<br> - Wave<br> - SlabO tropical_cyclone_case_number<br> - 001<br> - 002<br> ...<br> - 099<br> - 100 *** Description on each data group ***<br> <br> atm: three dimentional atmospheric velocity data<br> - level: pressure levels for vertical atmospheric data<br> - longitude: Longitude<br> - latitude: Latitude<br> - velocity_u_component: averaged atmospheric eastward velocity track: data around tropical cyclone track<br> - time: UTC time (YYYYMMDDHH)<br> - longitude_center: Longitude of typhoon center<br> - latitude_center: Latitude of typhoon center<br> - central_pressure: typhoon central pressure<br> - maximum_surface_wind: typhoon maximum surface wind speed<br> - longitude_sfc: Longitude for surface data around typhoon center<br> - latitude_sfc: Latitude for surface data around typhoon center<br> - surface_wind_u_component: surface eastward wind around typhoon<br> - surface_wind_v_component: surface northward wind around typhoon<br> - sea_level_pressure: sea level pressure around typhoon<br> - latent_heat_flux: surface upward latent heat flux<br> - sensible_heat_flux: surface upward sensible heat flux<br> - time_atm: UTC time (YYYYMMDDHH) for atmospheric data<br> - level: pressure levels for atmospheric data<br> - longitude_atm: Longitude for atmospheric data around typhoon center<br> - latitude_atm: Latitude for atmospheric data around typhoon center<br> - velocity_u_component: 3d eastward velocity around typhoon<br> - velocity_v_component: 3d northward velocity around typhoon
DOI: 10.5281/zenodo.4724364
title: Tropical Cyclone Characteristics Represented by the Ocean Wave Coupled Atmospheric Global Climate Model Incorporating Wave-Dependent Momentum Flux

description: This is dataset of global climate model simulation used in the paper "Tropical Cyclone Characteristics Represented by the Ocean Wave Coupled Atmospheric Global Climate Model Incorporating Wave-Dependent Momentum Flux" by Shimura et al. (2021) Followings are the explanation of data file. *** File naming rule ***<br> {data_group_name}_Exp{experiment_name}_TCnumber{tropical_cyclone_case_number}.nc data_group_name<br> - atm<br> - track experiment_name<br> - Wind<br> - Wave<br> - SlabO tropical_cyclone_case_number<br> - 001<br> - 002<br> ...<br> - 099<br> - 100 *** Description on each data group ***<br> <br> atm: three dimentional atmospheric velocity data<br> - level: pressure levels for vertical atmospheric data<br> - longitude: Longitude<br> - latitude: Latitude<br> - velocity_u_component: averaged atmospheric eastward velocity track: data around tropical cyclone track<br> - time: UTC time (YYYYMMDDHH)<br> - longitude_center: Longitude of typhoon center<br> - latitude_center: Latitude of typhoon center<br> - central_pressure: typhoon central pressure<br> - maximum_surface_wind: typhoon maximum surface wind speed<br> - longitude_sfc: Longitude for surface data around typhoon center<br> - latitude_sfc: Latitude for surface data around typhoon center<br> - surface_wind_u_component: surface eastward wind around typhoon<br> - surface_wind_v_component: surface northward wind around typhoon<br> - sea_level_pressure: sea level pressure around typhoon<br> - latent_heat_flux: surface upward latent heat flux<br> - sensible_heat_flux: surface upward sensible heat flux<br> - time_atm: UTC time (YYYYMMDDHH) for atmospheric data<br> - level: pressure levels for atmospheric data<br> - longitude_atm: Longitude for atmospheric data around typhoon center<br> - latitude_atm: Latitude for atmospheric data around typhoon center<br> - velocity_u_component: 3d eastward velocity around typhoon<br> - velocity_v_component: 3d northward velocity around typhoon
DOI: 10.26188/16869957.v1
title: Source data for Mutant alleles differentially shape fitness and other complex traits in cattle

description: Source data for figures of manuscript 'Mutant alleles differentially shape fitness and other complex traits in cattle' (https://www.biorxiv.org/content/10.1101/2021.04.19.440546v2)
DOI: 10.26188/15170922.v1
title: Allele frequency of mutant alleles in Holstein and Jersey from the 1000 Bull Genomes

description: Please see the word document for the description of the data.
DOI: 10.34740/kaggle/dsv/2832898
title: COVID Vaccination in World (updated daily)