cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9lcv2zz
title: Broadband Ground Motion Simulations for 12 California Region Earthquakes

description: This Data Release consists of broadband ground motion simulations for 12 California region earthquakes. The ground motion simulations were done as part of a validation study that is described in more detail in Graves (2022). These simulations were computed using a hybrid simulation methodology (hereafter referred to as GP). The GP approach is a hybrid in that separate responses are computed for the low- and high-frequency components, which are then summed together to produce the full broadband response. The 12 earthquakes considered in Graves, R.W. (2022). Using a Grid-Search Approach to Validate the Graves-Pitarka Broadband Simulation Method, Earth, Planets and Space, 74:186, doi: 10.1186/s40623-022-01742-y, are analyzed. These events span the magnitude (Mw) range 5.9 to 7.3 and were all well recorded by strong ground motion networks. For each earthquake, a total of 240 realizations were run. These 240 realizations sample specified ranges of fault width, average rupture speed, and average rise time. Additionally, each realization has a unique randomized slip distribution.
DOI: 10.6084/m9.figshare.24599616.v4
title: Using synchronized brain rhythms to bias memory guided-decisions - eLife

description: Hello! :)These are the source data, which includes LFPs and behavioral data, for the eLife paper titled "Using synchronized brain rhythms to bias memory-guided decisions".These data are accompanied by code to reproduce all figures and statistics in the paper (GriffinLabCode/Manuscript Code/Published/Stout et al 2023 - Using synchronized brain rhythms to bias memory guided decisions/SCRIPT_sourceFigs.m at main · JohnStout/GriffinLabCode · GitHub)Please note that you will likely need the Griffin Lab pipeline to make use of some helper functions (GitHub - JohnStout/GriffinLabCode: Code used for processing and analyzing data from Amy Griffins laboratory at the University of Delaware)The instructions for using this pipeline are in the "1) READ ME.txt" file.It is important to note that some of the data used for this paper are from Hallock et al., 2016 (Ventral Midline Thalamus Is Critical for Hippocampal–Prefrontal Synchrony and Spatial Working Memory | Journal of Neuroscience (jneurosci.org)) and Stout and Griffin 2020 (Frontiers | Representations of On-Going Behavior and Future Actions During a Spatial Working Memory Task by a High Firing-Rate Population of Medial Prefrontal Cortex Neurons (frontiersin.org)).Contact: John Stout, john.j.stout.jr@gmail.com
DOI: 10.5281/zenodo.10381198
title: Worldwide Dataset for Image Geolocation
DOI: 10.5281/zenodo.10381199
title: Worldwide Dataset for Image Geolocation
DOI: 10.17630/21ca8a2d-6bd2-4182-91ee-687fa18ab785
title: A Density Functional Theory Study of Pd Aggregation on a Pyridine-Terminated Self-Assembled Monolayer (dataset)

description: Research data for publication
DOI: 10.34740/kaggle/dsv/7202414
title: company country kpis splitted dataset
DOI: 10.5281/zenodo.10380751
title: TF12RE project output
DOI: 10.5281/zenodo.10380752
title: TF12RE project output
DOI: 10.17630/1bec3f8b-84ae-4a1c-87da-9d36465f811b
title: The design of extended Multiple Resonance TADF emitter based on polycyclic amine/carbonyl system (dataset)
DOI: 10.5523/bris.1cexytjgcqqta2clbsn4qgxqz4
title: GAS Longevity
title: GAS Longevity

description: Data used to generate the figures in the paper entitled: "An Assessment of the Airborne Longevity of Group A Streptococcus"
DOI: 10.5281/zenodo.10379696
title: MLHAD-NF datasets
title: Towards a data-driven model of hadronization using normalizing flows

description: Datasets associated with the MLHAD-BNF repository https://gitlab.com/uchep/mlhad/BNF  based on work the presented in https://arxiv.org/pdf/2311.09296.pdf. This data should be downloaded to the path '<>/mlhad/BNF/data/' for proper integration with the repository.
DOI: 10.5281/zenodo.10379697
title: MLHAD-NF datasets
title: Towards a data-driven model of hadronization using normalizing flows

description: Datasets associated with the MLHAD-BNF repository https://gitlab.com/uchep/mlhad/BNF  based on work the presented in https://arxiv.org/pdf/2311.09296.pdf. This data should be downloaded to the path '<>/mlhad/BNF/data/' for proper integration with the repository.
DOI: 10.5517/ccdc.csd.cc2ggt4x
title: CCDC 2278349: Experimental Crystal Structure Determination

description: Related Article: Leo W. T. Parsons, James C. Fettinger, Louise A. Berben|2023|Chemical Science|14|13944|doi:10.1039/D3SC03806H
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: 10.17630/0773e268-6e9f-4514-8644-876462014cd3
title: Exploration of Vanadium Sulfates as Positive Electrodes for Battery Applications (Thesis Data)

description: The following file types are included: - Galvanostatic battery data: .IQx (can be opened with a text editor) - Inductively coupled plasma optical emission spectroscopy analysis: .xls format (can be opened with Excel) - Infrared spectra: .txt (can be opened with a text editor) - Neutron powder diffraction files: .dat (can be opened with a text editor) and .gsas (proprietary format) - Optical images: .jpg - Photographs: .jpg - Potentiostatic battery data: .CIQx (can be opened with a text editor) - Powder X ray diffraction data files: .xy (can be opened with a text editor) - Scanning electron microscopy micrographs: .tif - Single crystal X ray diffraction data files: .hkl (can be opened with a text editor) and .cif_od (can be opened with a text editor) - Thermalgravimetric data files: .csv file (can be opened with Excel) - X ray absorption spectroscopy data files: .dat (can be opened with a text editor) Details pertaining to the equipment used to collect the data files and the software required to analyse these data files are provided in the ReadMe.txt file. The data files are embargoed until 02/06/2021
DOI: 10.17630/1e5be2cf-e463-4d0c-972d-a963c7c404f4
title: Highly fluorescent emitters based on triphenylamine-π-triazine (Dπ-A) system: effect of extended conjugation on singlet-triplet energy gap (dataset)
DOI: 10.6084/m9.figshare.24808437
title: Data for the article "Low latitude mesospheric clouds in a warmer climate"

description: Seasonal mean (DJF and JJA) temperature, water vapor and cloud fraction data for different experiments from WACCM4.
DOI: 10.17630/895dc4bf-819a-48d5-b422-b7e63674033a
title: Coherent oscillations of a levitated birefringent microsphere in vacuum driven by nonconservative rotation-translation coupling (dataset)
DOI: 10.17630/1991da1b-e4f2-4a3c-8364-271023c723e2
title: Exploring the Scope of Tandem Palladium and Isothiourea Relay Catalysis for the Synthesis of α-Amino Acid Derivatives (dataset)
DOI: 10.17630/69aa9bc9-d2a8-4f30-8ebf-a0a8ecc24245
title: Enantioselective Synthesis of α‐Aryl‐β2‐Amino‐esters via Cooperative Isothiourea and Brønsted Acid Catalysis (dataset)
DOI: 10.25810/fj1y-8c74.59
title: International Wire Services Coverage of Climate Change or Global Warming, 2004-2023 - November 2023

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.15139/s3/sbbeg6
title: Supervisor Bottom-Line Mentality

description: What are the effects of super bottom-line mentality on employee frustration and subsequent attitudes? This dataset includes measures of supervisor bottom-line mentality, employee frustration, coworker support, turnover intentions, commitment, and job satisfaction. The data was collected in 2021 and 2022 from MBA students at two universities in the United States.
DOI: 10.5281/zenodo.10381426
title: Does the superfluous killing exhibited by spiders mask the functional response parameters? A case study from the perspective of biological control

description: Raw data of the Functional Response analysis.
DOI: 10.5281/zenodo.10381427
title: Does the superfluous killing exhibited by spiders mask the functional response parameters? A case study from the perspective of biological control

description: Raw data of the Functional Response analysis.
DOI: 10.5281/zenodo.10374394
title: Tower of Babylon Stele in 3D photogrammetry

description: Black stone stele in two fragments with the only known original side illustration of the Tower in Babylon and the only picture of the king Nebuchadnezzar II so far found in Mesopotamia. The tower or ziggurat was 90 x 90 m with a height also of 90 m. The stele was discovered in Babylon in the early 1990s, for 28 years it was housed in the Schøyen Collection Oslo, and since December 2023 it is back in Iraq and the Iraq Museum Baghdad. The photogrammetry was produced by Olof Pedersén in October 2023 as documentation before the stele was given to Iraq.
DOI: 10.5281/zenodo.10374395
title: Tower of Babylon Stele in 3D photogrammetry

description: Black stone stele in two fragments with the only known original side illustration of the Tower in Babylon and the only picture of the king Nebuchadnezzar II so far found in Mesopotamia. The tower or ziggurat was 90 x 90 m with a height also of 90 m. The stele was discovered in Babylon in the early 1990s, for 28 years it was housed in the Schøyen Collection Oslo, and since December 2023 it is back in Iraq and the Iraq Museum Baghdad. The photogrammetry was produced by Olof Pedersén in October 2023 as documentation before the stele was given to Iraq.
DOI: 10.6084/m9.figshare.24808482
title: DataAndCode.zip

description: Datasets for reviewing paper named "<b>Addressing Equifinality in Agent-Based modeling: </b><b>A </b><b>sequential parameter space search method based on sensitivity analysis</b>"
DOI: 10.6084/m9.figshare.24808482.v1
title: DataAndCode.zip

description: Datasets for reviewing paper named "<b>Addressing Equifinality in Agent-Based modeling: </b><b>A </b><b>sequential parameter space search method based on sensitivity analysis</b>"
DOI: 10.5281/zenodo.10381606
title: ISSA Agritrop Dataset

description: This dataset, produced in the context of the ISSA project, provides a semantic index of the articles of the Agritrop scientific archive. It is built by extracting thematic descriptors and named entities from the articles full-text, and linking them with resources from DBpedia, Wikidata and AGROVOC.


Licensing:


Different licenses apply to the different subsets of the ISSA Agritrop dataset:



	
articles metadata is provided under the Agritrop open licence;
	
full text content extracted from the articles retains the same licence as the original article;
	
additional data produced by mining the articles (thematic descriptors, named entities) is published under the Open Data Commons Attribution License 1.0 (ODC-By)
DOI: 10.5281/zenodo.6505846
title: ISSA Agritrop Dataset

description: This dataset, produced in the context of the ISSA project, provides a semantic index of the articles of the Agritrop scientific archive. It is built by extracting thematic descriptors and named entities from the articles full-text, and linking them with resources from DBpedia, Wikidata and AGROVOC.


Licensing:


Different licenses apply to the different subsets of the ISSA Agritrop dataset:



	
articles metadata is provided under the Agritrop open licence;
	
full text content extracted from the articles retains the same licence as the original article;
	
additional data produced by mining the articles (thematic descriptors, named entities) is published under the Open Data Commons Attribution License 1.0 (ODC-By)
DOI: 10.5281/zenodo.6505847
title: ISSA Agritrop Dataset

description: This dataset, produced in the context of the ISSA project, provides a semantic index of the articles of the Agritrop scientific archive. It is built by extracting thematic descriptors and named entities from the articles full-text, and linking them with resources from DBpedia, Wikidata and AGROVOC. <strong>Licensing:</strong> Different licenses apply to the different subsets of the ISSA Agritrop dataset: articles metadata is provided under the Agritrop open licence; full text content extracted from the articles retains the same licence as the original article; additional data produced by mining the articles (thematic descriptors, named entities) is published under the Open Data Commons Attribution License 1.0 (ODC-By)
DOI: 10.5281/zenodo.10371338
title: Intertidal topography at 10m Resolution Derived from Sentinel-2 Multi-Spectral Imagery for the Bengal Delta Coastline

description: This repository contains the intertidal topography (e.g., digital elevation model) at 10m spatial resolution and the source-code of the toolbox used in deriving this dataset from Sentinel-2 Level-2A spectral imagery and a regional tidal model. The dataset covers the coastal Bangladesh and West Bengal located in the northern Bay of Bengal. The method and its performance is described in detail in the following paper -  
 
Khan, M.J.U.; Ansary, M.N.; Durand, F.; Testut, L.; Ishaque, M.; Calmant, S.; Krien, Y.; Islam, A.K.M.S.; Papa, F. High-Resolution Intertidal Topography from Sentinel-2 Multi-Spectral Imagery: Synergy between Remote Sensing and Numerical Modeling. Remote Sens. 2019, 11, 2888. https://doi.org/10.3390/rs11242888
 
The repository has the following files and directory -  
 
1. `DEM_intertidal.dat`: This text file contains the extracted intertidal DEM as space separated x (column 1), y (column 2), z (column 3) points. The spatial location are given in longitude (x), latitude (y), and the vertical height (z) is given in meters (upward positive).
2. `pyIntertidalDEM.zip`: This compressed zip folder contains a snapshot of the toolbox (https://github.com/jamal919/pyIntertidalDEM/tree/f05de55d726fd4356f9fb8979a2cf0f42f0ec9b1) used to extract the instantaneous shorelines for the current version of the intertidal DEM. The code is also accessible in its most updated version from the github repository - https://github.com/jamal919/pyIntertidalDEM.
3. `README.txt`: This text file.
 
The dataset is published under a Creative Commons Attribution 4.0 International license. The pyIntertidalDEM toolbox is published under a Apache License 2.0.
DOI: 10.5281/zenodo.10371339
title: Intertidal topography at 10m Resolution Derived from Sentinel-2 Multi-Spectral Imagery for the Bengal Delta Coastline

description: This repository contains the intertidal topography (e.g., digital elevation model) at 10m spatial resolution and the source-code of the toolbox used in deriving this dataset from Sentinel-2 Level-2A spectral imagery and a regional tidal model. The dataset covers the coastal Bangladesh and West Bengal located in the northern Bay of Bengal. The method and its performance is described in detail in the following paper -  
 
Khan, M.J.U.; Ansary, M.N.; Durand, F.; Testut, L.; Ishaque, M.; Calmant, S.; Krien, Y.; Islam, A.K.M.S.; Papa, F. High-Resolution Intertidal Topography from Sentinel-2 Multi-Spectral Imagery: Synergy between Remote Sensing and Numerical Modeling. Remote Sens. 2019, 11, 2888. https://doi.org/10.3390/rs11242888
 
The repository has the following files and directory -  
 
1. `DEM_intertidal.dat`: This text file contains the extracted intertidal DEM as space separated x (column 1), y (column 2), z (column 3) points. The spatial location are given in longitude (x), latitude (y), and the vertical height (z) is given in meters (upward positive).
2. `pyIntertidalDEM.zip`: This compressed zip folder contains a snapshot of the toolbox (https://github.com/jamal919/pyIntertidalDEM/tree/f05de55d726fd4356f9fb8979a2cf0f42f0ec9b1) used to extract the instantaneous shorelines for the current version of the intertidal DEM. The code is also accessible in its most updated version from the github repository - https://github.com/jamal919/pyIntertidalDEM.
3. `README.txt`: This text file.
 
The dataset is published under a Creative Commons Attribution 4.0 International license. The pyIntertidalDEM toolbox is published under a Apache License 2.0.
DOI: 10.5281/zenodo.10381593
title: Data for "Atomic Arrangements in Multicomponent Alloys: First-Principles Theory, Atomistic Modelling, and Implications for Magnetic Properties"

description: Data associated with the thesis "Atomic Arrangements in Multicomponent Alloys: First-Principles Theory, Atomistic Modelling, and Implications for Magnetic Properties", submitted to the University of Warwick in partial fulfillment of the requrirements for the degree of Doctor of Philosophy in Modelling of Heterogeneous Systems, September 2023.
DOI: 10.5281/zenodo.10381594
title: Data for "Atomic Arrangements in Multicomponent Alloys: First-Principles Theory, Atomistic Modelling, and Implications for Magnetic Properties"

description: Data associated with the thesis "Atomic Arrangements in Multicomponent Alloys: First-Principles Theory, Atomistic Modelling, and Implications for Magnetic Properties", submitted to the University of Warwick in partial fulfillment of the requrirements for the degree of Doctor of Philosophy in Modelling of Heterogeneous Systems, September 2023.
DOI: 10.6084/m9.figshare.24808509
title: EvolDisp - Diorhabda data

description: Data from Clark on Diorhabda traits, used in ABC model parameterization.
DOI: 10.6084/m9.figshare.24808509.v1
title: EvolDisp - Diorhabda data

description: Data from Clark on Diorhabda traits, used in ABC model parameterization.
DOI: 10.5281/zenodo.10118963
title: H2020 ENODISE: UBRI Experimental Aeroacoustic Database BLI Configuration A

description: This database contains the datasets for the aeroacoustic experiments conducted at the University of Bristol regarding Boundary Layer Ingestion configurations A1 and A2 as part of the H2020 ENODISE project.


Configuration A1 consists of a propeller ingesting a zero-pressure-gradient boundary layer while A2 is a propeller ingesting an adverse pressure gradient boundary layer in a partially buried configuration. Far-field acoustics are measured using two microphone arcs, near-field measurements consist of surface static pressure and pressure fluctuations. Propeller force and torque is measured using a load cell. Flow-field measurements are obtained through hotwire anemometry.


This forms part of Deliverable D3.3, see D3.3 report for further information regarding measurement techniques. Included are descriptive READMEs and instrumentation layouts. The data is in the HDF5 format and comprises mean, spectral, and other processed data types in engineering units.


Now updated with D3.6 to include cleaned CAD models of both A1 and A2 configurations in STEP formats.
description: see changelog.txt for file updates
DOI: 10.5281/zenodo.8020844
title: H2020 ENODISE: UBRI Experimental Aeroacoustic Database BLI Configuration A

description: This database contains the datasets for the aeroacoustic experiments conducted at the University of Bristol regarding Boundary Layer Ingestion configurations A1 and A2 as part of the H2020 ENODISE project. Configuration A1 consists of a propeller ingesting a zero-pressure-gradient boundary layer while A2 is a propeller ingesting an adverse pressure gradient boundary layer in a partially buried configuration. Far-field acoustics are measured using two microphone arcs, near-field measurements consist of surface static pressure and pressure fluctuations. Propeller force and torque is measured using a load cell. Flow-field measurements are obtained through hotwire anemometry. This forms part of Deliverable D3.3, see report for further information regarding measurement techniques. Included are descriptive READMEs. The data is in the HDF5 format and comprises mean, spectral, and other processed data types in engineering units. Full supplementary files are to come, (CAD models of the setup, etc.) in D3.6
description: v1.0.1 - updated A2.UBRI.zip to correct static pressure rms calculation and hotwire SW Y coordinates. v1.1.0 - updated A2.UBRI.zip to more accurately reflect measured freestream velocities - replaced SW Plate Only hotwire data in A2.UBRI.zip with 2D X-wire counterparts, additional lines. - updated A1.UBRI.zip to more accurately reflect measured freestream velocities
DOI: 10.5281/zenodo.7924655
title: H2020 ENODISE: UBRI Experimental Aeroacoustic Database BLI Configuration A

description: This database contains the datasets for the aeroacoustic experiments conducted at the University of Bristol regarding Boundary Layer Ingestion configurations A1 and A2 as part of the H2020 ENODISE project.


Configuration A1 consists of a propeller ingesting a zero-pressure-gradient boundary layer while A2 is a propeller ingesting an adverse pressure gradient boundary layer in a partially buried configuration. Far-field acoustics are measured using two microphone arcs, near-field measurements consist of surface static pressure and pressure fluctuations. Propeller force and torque is measured using a load cell. Flow-field measurements are obtained through hotwire anemometry.


This forms part of Deliverable D3.3, see D3.3 report for further information regarding measurement techniques. Included are descriptive READMEs and instrumentation layouts. The data is in the HDF5 format and comprises mean, spectral, and other processed data types in engineering units.


Now updated with D3.6 to include cleaned CAD models of both A1 and A2 configurations in STEP formats.
description: see changelog.txt for file updates
DOI: 10.5281/zenodo.7924656
title: H2020 ENODISE: UBRI Experimental Aeroacoustic Database BLI Configuration A

description: This database contains the datasets for the aeroacoustic experiments conducted at the University of Bristol regarding Boundary Layer Ingestion configurations A1 and A2 as part of the H2020 ENODISE project. Configuration A1 consists of a propeller ingesting a zero-pressure-gradient boundary layer while A2 is a propeller ingesting an adverse pressure gradient boundary layer in a partially buried configuration. Far-field acoustics are measured using two microphone arcs, near-field measurements consist of surface static pressure and pressure fluctuations. Propeller force and torque is measured using a load cell. Flow-field measurements are obtained through hotwire anemometry. This forms part of Deliverable D3.3, see report for further information regarding measurement techniques. Included are descriptive READMEs. The data is in the HDF5 format and comprises mean, spectral, and other processed data types in engineering units. Full supplementary files are to come, (CAD models of the setup, etc.) in D3.6
DOI: 10.5281/zenodo.7947918
title: H2020 ENODISE: UBRI Experimental Aeroacoustic Database BLI Configuration A

description: This database contains the datasets for the aeroacoustic experiments conducted at the University of Bristol regarding Boundary Layer Ingestion configurations A1 and A2 as part of the H2020 ENODISE project. Configuration A1 consists of a propeller ingesting a zero-pressure-gradient boundary layer while A2 is a propeller ingesting an adverse pressure gradient boundary layer in a partially buried configuration. Far-field acoustics are measured using two microphone arcs, near-field measurements consist of surface static pressure and pressure fluctuations. Propeller force and torque is measured using a load cell. Flow-field measurements are obtained through hotwire anemometry. This forms part of Deliverable D3.3, see report for further information regarding measurement techniques. Included are descriptive READMEs. The data is in the HDF5 format and comprises mean, spectral, and other processed data types in engineering units. Full supplementary files are to come, (CAD models of the setup, etc.) in D3.6
description: v1.0.1 - updated A2.UBRI.zip to correct static pressure rms calculation and hotwire SW Y coordinates.