cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e114474
title: Replication data for: Central Bank Communications and the General Public

description: Despite the recent revolution in central bank communication, it is unclear the general public have benefitted from these enhanced central bank communications. We first analyze the growth of communication and some reasons that the public may have missed the revolution. We then discuss the desirability of greater communication with the public. The case for feasibility of such communication examines observational and experimental evidence following the recently adopted use of a layered communication at the Bank of England. We find that, while more research is needed, there are compelling reasons for central banks to continue trying to target communication at the public.
DOI: 10.23725/9z0r-sv15
title: NWD493541.freeze5.v1.vcf.gz

description: TOPMed: NWD493541.freeze5.v1.vcf.gz <br>File: VCF file
DOI: 10.15139/s3/ylzeh4
title: Different compactness indices for 2011 urban form derived from National Land Cover Dataset

description: The dataset contains (Index of Moment of Inertia) IMI adjusted and unadjusted for 2011 urban form for contiguous US Counties. The urban form is derived from National Landcover dataset. The dataset also contains comparison indices such as Exchange Index (EI) and Dispersion Index (DI)
DOI: 10.7910/dvn/ooyxor/dnzjxe
title: Fig 2

description: Fig 2. Phylogenetic tree inferred from Bayesian analysis of <i>Plasmopara obducens</i>, <i>Plasmopara destructor</i> and <i>Plasmopara velutina</i> species based on nuclear ITS1 and cox2 sequences, showing mean branch lengths of a 50 % majority rule consensus tree from Markov chain Monte Carlo (MCMC) analysis. Posterior Probabilities (PP) values generated from the Bayesian analysis are indicated on the nodes of the branches. The tree was rooted to <i>Plasmopara viticola</i> (INRA-PV221). The number of nucleotide changes between taxa is represented by branch length and the scale bar equals the number of nucleotide substitution per site. The taxon sequenced in this study is shown in bold.
DOI: 10.7910/dvn/ooyxor/4qbncf
title: Fig 1

description: Fig 1. Symptoms and signs of <i>Plasmopara destructor</i> infecting plants of the species <i>Impatiens walleriana</i> in Curitiba, Paraná. A. Detail of chlorotic spots on the leaf surface; B. Sporulation on the adaxial side of leaf; C. Sporangiophores observed on the abaxial side of leaf; D. Sporangiophore; E. Base slightly swollen; F. Ultimate branchlets were straight but slightly curved; F. Sporangia almost globose to ovoid, hyaline, slightly papillate.
DOI: 10.7910/dvn/ooyxor/ooigzo
title: Nucleotide Sequence ITS.FASTA

description: <i>Plasmopara destructor</i> LEMID-Pde01 internal transcribed spacer 2, partial sequence
DOI: 10.7910/dvn/ooyxor/zkis9x
title: Nucleotide Sequence Cox2.FASTA

description: <i>Plasmopara destructor</i> LEMID-Pde01 cytochrome oxidase subunit 2 (Cox2) gene, partial cds; mitochondrial
DOI: 10.7910/dvn/ooyxor
title: Occurrence of Plasmopara destructor causing Downy Mildew on Impatiens walleriana in Brazil

description: First report
DOI: 10.15139/s3/jt27ti
title: Attituds towards airfreighted food

description: Survey about attitudes towards air freighted food
DOI: 10.21227/8kdh-6668
title: A Large-Scale Dataset for Active Fire Detection/Segmentation (Landsat-8)

description: This dataset was created from all Landsat-8 images from South America in the year 2018. More than 31 thousand images were processed (15 TB of data), and approximately on half of them active fire pixels were found. The Landsat-8 sensor has 30 meters of spatial resolution (1 panchromatic band of 15m), 16 bits of radiometric resolution and 16 days of temporal resolution (revisit). The images in our dataset are in TIFF (geotiff) format with 10 bands (excluding the 15m panchromatic band). We cropped the original Landsat-8 scenes into image patches with 128 x 128 pixels by using a stride overlap of 64 pixels (vertical and horizontal). The masks are in binary format where True (1) represents fire and False (0) represents background and they were generated from the conditions set by Schroeder et al. (2016).
DOI: 10.21227/96j3-cf12
title: A Large-Scale Dataset for Active Fire Detection/Segmentation (Landsat-8)

description: This dataset was created from all Landsat-8 images from South America in the year 2018. More than 31 thousand images were processed (15 TB of data), and approximately on half of them active fire pixels were found. The Landsat-8 sensor has 30 meters of spatial resolution (1 panchromatic band of 15m), 16 bits of radiometric resolution and 16 days of temporal resolution (revisit). The images in our dataset are in TIFF (geotiff) format with 10 bands (excluding the 15m panchromatic band). We cropped the original Landsat-8 scenes into image patches with 128 x 128 pixels by using a stride overlap of 64 pixels (vertical and horizontal). The masks are in binary format where True (1) represents fire and False (0) represents background and they were generated from the conditions set by Schroeder et al. (2016).
DOI: 10.21227/6b7z-vg24
title: A Large-Scale Dataset for Active Fire Detection/Segmentation (Landsat-8)

description: This dataset was created from all Landsat-8 images from South America in the year 2018. More than 31 thousand images were processed (15 TB of data), and approximately on half of them active fire pixels were found. The Landsat-8 sensor has 30 meters of spatial resolution (1 panchromatic band of 15m), 16 bits of radiometric resolution and 16 days of temporal resolution (revisit). The images in our dataset are in TIFF (geotiff) format with 10 bands (excluding the 15m panchromatic band). We cropped the original Landsat-8 scenes into image patches with 128 x 128 pixels by using a stride overlap of 64 pixels (vertical and horizontal). The masks are in binary format where True (1) represents fire and False (0) represents background and they were generated from the conditions set by Schroeder et al. (2016).
DOI: 10.5281/zenodo.3930442
title: Perception Sensor Dataset For Bioinspired Landing Trajectories Of An Ornithopter Robot

description: The dataset contains the measurements captured by several onboard sensors during the landing maneuvers of an ornithopter robot. Each dataset contains a ROS bag file with the sensor measurements, a file with the bioinspired trajectory, a file with the events generated by the simulated event-based sensor, and a README file with the instructions to use the dataset. The bioinspired landing trajectories are computed using Tau Theory. Each landing trajectory test was performed in a simulated scenario. The object models of each scene can be found in the /model/meshes folder of each scene. There are two testing scenes: (i) a warehouse and (ii) a refinery. The file object_pose.csv includes the position and orientation of each object in the scene. The sensor measurements were saved in rosbag file that contains a topic for each sensor measurement. The dataset includes information from the following simulated sensors: Velodyne HDL-32E Sonar sensor with a range of 20 m IMU Frame based monocular camera Event camera
DOI: 10.5281/zenodo.3930441
title: Perception Sensor Dataset For Bioinspired Landing Trajectories Of An Ornithopter Robot

description: The dataset contains the measurements captured by several onboard sensors during the landing maneuvers of an ornithopter robot. Each dataset contains a ROS bag file with the sensor measurements, a file with the bioinspired trajectory, a file with the events generated by the simulated event-based sensor, and a README file with the instructions to use the dataset. The bioinspired landing trajectories are computed using Tau Theory. Each landing trajectory test was performed in a simulated scenario. The object models of each scene can be found in the /model/meshes folder of each scene. There are two testing scenes: (i) a warehouse and (ii) a refinery. The file object_pose.csv includes the position and orientation of each object in the scene. The sensor measurements were saved in rosbag file that contains a topic for each sensor measurement. The dataset includes information from the following simulated sensors: Velodyne HDL-32E Sonar sensor with a range of 20 m IMU Frame based monocular camera Event camera
DOI: 10.3886/e113310v1-25241
title: Replication data for: Cooperation among Strangers under the Shadow of the Future

description: We study the emergence of norms of cooperation in experimental economies populated by strangers interacting indefinitely. Can these economies achieve full efficiency even without formal enforcement institutions? Which institutions for monitoring and enforcement facilitate cooperation? Finally, what classes of strategies do subjects employ? We find that, first, cooperation can be sustained even in anonymous settings; second, some type of monitoring and punishment institutions significantly promote cooperation; and, third, subjects mostly employ strategies that are selective in punishment. (JEL C71, C73, D12, Z13)
DOI: 10.3886/e113310v1-25243
title: Replication data for: Cooperation among Strangers under the Shadow of the Future

description: We study the emergence of norms of cooperation in experimental economies populated by strangers interacting indefinitely. Can these economies achieve full efficiency even without formal enforcement institutions? Which institutions for monitoring and enforcement facilitate cooperation? Finally, what classes of strategies do subjects employ? We find that, first, cooperation can be sustained even in anonymous settings; second, some type of monitoring and punishment institutions significantly promote cooperation; and, third, subjects mostly employ strategies that are selective in punishment. (JEL C71, C73, D12, Z13)
DOI: 10.3886/e119446v13-25245
title: COVID-19 US State Policy Database

description: Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini
description: State policies. Smallest Geographic Unit: State
DOI: 10.3886/e119446v12
title: COVID-19 US State Policy Database

description: Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini
description: State policies. Smallest Geographic Unit: State
DOI: 10.17632/ny623g6f5w.1
title: Data for: Iodine records from the Ediacaran Doushantuo cap carbonates of the Yangtze Block, South China

description: This is a supplementary dataset for the paper entitled "Iodine records from the Ediacaran Doushantuo cap carbonates of the Yangtze Block, South China".
DOI: 10.21227/d509-qf61
title: An Analysis Model For Detecting Click Farm in Anonymous Cryptocurrency

description: In online shopping, consumers often rely on information such as sales, reviews or ratings to inform their decision making. Such preferences or user behaviors can be subjected to manipulation. For example, a merchant can artificially inflate product sales by paying a click farm. Specifically, the click farm will recruit a number of non-genuine buyers to purchase the products. After the purchases have been made, the buyers will either refund the product minus the commission or no product exchange actually takes place and these buyers are paid a commission for their role in the activity. Increasingly due to the popularity of cryptocurrency, such as bitcoin, such payment mechanisms are used in such activities. Hence, in this paper, we seek to detect click farm transactions using cryptocurrency. Specifically, we propose three models to capture click farm operations, and based on the models we design three algorithms to detect anonymous click farm transactions. Extensive analysis demonstrates that our model achieves a high accuracy rate in detecting anonymous click farm transactions, without incurring expensive computational costs.
DOI: 10.21227/z3b8-m324
title: An Analysis Model For Detecting Click Farm in Anonymous Cryptocurrency

description: In online shopping, consumers often rely on information such as sales, reviews or ratings to inform their decision making. Such preferences or user behaviors can be subjected to manipulation. For example, a merchant can artificially inflate product sales by paying a click farm. Specifically, the click farm will recruit a number of non-genuine buyers to purchase the products. After the purchases have been made, the buyers will either refund the product minus the commission or no product exchange actually takes place and these buyers are paid a commission for their role in the activity. Increasingly due to the popularity of cryptocurrency, such as bitcoin, such payment mechanisms are used in such activities. Hence, in this paper, we seek to detect click farm transactions using cryptocurrency. Specifically, we propose three models to capture click farm operations, and based on the models we design three algorithms to detect anonymous click farm transactions. Extensive analysis demonstrates that our model achieves a high accuracy rate in detecting anonymous click farm transactions, without incurring expensive computational costs.
DOI: 10.5281/zenodo.3930533
title: Anonymisation RT Plan

description: The sample RT Plan that has previously been reposed in the tests/dicom/data/anonymise
DOI: 10.5281/zenodo.3930532
title: Anonymisation RT Plan

description: The sample RT Plan that has previously been reposed in the tests/dicom/data/anonymise
DOI: 10.5281/zenodo.3930609
title: WRR2020

description: The model outputs for Nakayama et al. (2020)
DOI: 10.5281/zenodo.3900029
title: WRR2020

description: The model outputs for Nakayama et al. (2020)
DOI: 10.17632/jc8nvk4t33.4
title: Data for: Comparative assessment of NCEP and ECMWF global datasets and numerical approaches on rough sea generation for ship navigation based on numerical simulation and shipboard measurements

description: This file consists all the simulated and observed wind for all eight cases, by all linear interpolation method and WRF downscaling simulations. Other researchers may make other possible findings from those data about the wind characteristics on-board a ship.
DOI: 10.5281/zenodo.3828071
title: A revised list of fossil calibrations to constrain molecular dating of angiosperms

description: Original list of calibrations used in: <strong><strong>Ramírez-Barahona S</strong>, <strong>Sauquet H</strong>, <strong>Magallón S</strong></strong>. <strong>2020</strong>. The delayed and geographically heterogenous diversification of flowering plant families. <em>Nature Ecology & Evolution</em>: 10.1038/s41559-020-1241–3.
description: {"references": ["Ram\u00edrez-Barahona S, Sauquet H, Magall\u00f3n S. The delayed and geographically heterogenous diversification of flowering plant families."]}
DOI: 10.5281/zenodo.3828070
title: A revised list of fossil calibrations to constrain molecular dating of angiosperms

description: Original list of calibrations used in: <strong><strong>Ramírez-Barahona S</strong>, <strong>Sauquet H</strong>, <strong>Magallón S</strong></strong>. <strong>2020</strong>. The delayed and geographically heterogenous diversification of flowering plant families. <em>Nature Ecology & Evolution</em>: 10.1038/s41559-020-1241–3.
description: {"references": ["Ram\u00edrez-Barahona S, Sauquet H, Magall\u00f3n S. The delayed and geographically heterogenous diversification of flowering plant families."]}
DOI: 10.5281/zenodo.3930671
title: The observed data used in paper titled "An analytic method for calculating parameters of the van Genuchten model for soil water retention curve"

description: In the file, the 46 soil samples from UNSODA were used to test the proposed method of estimating the parameters of VG model, including the physical and hydraulic properties data, PSD, SWRC, saturated hydraulic conductivity, porosity and saturated water content. Also, this data file includes some process data and results data, <em>D</em><sub><em>i</em>, psd</sub>, predicted <em>K<sub>s</sub></em> , the data relate to <em>a </em>and <em>n </em>and sensitivity analysis.
DOI: 10.5281/zenodo.3930670
title: The observed data used in paper titled "An analytic method for calculating parameters of the van Genuchten model for soil water retention curve"

description: In the file, the 46 soil samples from UNSODA were used to test the proposed method of estimating the parameters of VG model, including the physical and hydraulic properties data, PSD, SWRC, saturated hydraulic conductivity, porosity and saturated water content. Also, this data file includes some process data and results data, <em>D</em><sub><em>i</em>, psd</sub>, predicted <em>K<sub>s</sub></em> , the data relate to <em>a </em>and <em>n </em>and sensitivity analysis.
DOI: 10.15161/oar.it/30525
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.3930722
title: Linked COVID-19 Data: Johns Hopkins University (JHU) and European Centre for Disease Prevention and Control (ECDC)

description: Linked COVID-19 Data derived from <strong>Johns Hopkins University</strong> and <strong>European Centre for Disease Prevention and Control</strong> using the COVID-19 Ontology 10.5281/zenodo.3757828 developed for the Linked COVID-19 Data Dashboard: http://covid19data.link This files include data for covid19_jhu.ttl - COVID-19 data collected by the JHU covid19_ecdc.ttl - COVID-19 data collected by the ECDC This RDF files are based on https://pomber.github.io/covid19/timeseries.json https://opendata.ecdc.europa.eu/covid19/casedistribution/json/
DOI: 10.5281/zenodo.3930723
title: Linked COVID-19 Data: Robert Koch-Institut (RKI)

description: Linked COVID-19 Data derived from <strong>Robert Koch Institute</strong> using the COVID-19 Ontology 10.5281/zenodo.3757828 developed for the Linked COVID-19 Data Dashboard: http://covid19data.link This files include data for covid19_rki*.ttl - single COVID-19 cases per day, collected by the RKI https://www.arcgis.com/home/item.html?id=dd4580c810204019a7b8eb3e0b329dd6 "confirmed" is calcaulated by the column "Refdatum" covid19_rki_ger.ttl - COVID-19 cases per day for Germany, collected by the RKI covid19_rki_ger_cum.ttl - COVID-19 cases accumulated per day for Germany, collected by the RKI covid19_rki_fs.ttl - COVID-19 cases per day for the federal states in Germany, collected by the RKI covid19_rki_fs_cum.ttl - COVID-19 cases accumulated per day for the federal states in Germany, collected by the RKI This RDF files are based on the NPGEO Corona Hub 2020 https://opendata.arcgis.com/datasets/dd4580c810204019a7b8eb3e0b329dd6_0.geojson https://npgeo-corona-npgeo-de.hub.arcgis.com/datasets/dd4580c810204019a7b8eb3e0b329dd6_0/data
DOI: 10.5281/zenodo.3930729
title: Environmental exposure model for copper oxide nanoparticles impact in estuarine ecosystem services

description: Modelling the effect of copper oxide nanoparticles (&lt; 50 nm) on denitrification rate and abundance and transcription of genes of the denitrification pathway on a temperate estuary.
description: This work was funded by national funds through Fundação para a Ciência e a Tecnologia, Portugal (FCT) with the projects UIDB/04423/2020, UIDP/04423/2020, and PTDC/BIA-MIC/30131/2017 (NANOSED) also funded by the "Norte Portugal Regional Operational Programme" (Norte2020), under the PORTUGAL 2020 partnership agreement, through the European Regional Development Fund (ERDF).
DOI: 10.5281/zenodo.3930728
title: Environmental exposure model for copper oxide nanoparticles impact in estuarine ecosystem services

description: Modelling the effect of copper oxide nanoparticles (&lt; 50 nm) on denitrification rate and abundance and transcription of genes of the denitrification pathway on a temperate estuary.
description: This work was funded by national funds through Fundação para a Ciência e a Tecnologia, Portugal (FCT) with the projects UIDB/04423/2020, UIDP/04423/2020, and PTDC/BIA-MIC/30131/2017 (NANOSED) also funded by the "Norte Portugal Regional Operational Programme" (Norte2020), under the PORTUGAL 2020 partnership agreement, through the European Regional Development Fund (ERDF).
DOI: 10.5519/qd.dpzpz6wv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4571180 records)