cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3893629
title: Drainage reorganisation and species evolution: model sensitivity analysis data

description: Data description: <strong>‘trial_factor_values.csv’:</strong> The factor values for experiment trials were generated using a quasi-random Sobol sequence (Sobol, 1967). The table field, ‘initial_landscape_id’ is the identifier for unique combinations of the following factor values that controlled the landscape elevation in the initial conditions phase of the model: initial elevation seed, \(U\), \(K\), and \(k_d\). The factors, \(U\), \(K\), \(k_d\), \(P_m\), and allopatric wait time varied logarithmically. The values of these factors in the file are the exponent of base 10. <strong>‘trial_response_values_initial_conditions_phase.csv’:</strong> Topographic relief at steady state along with the model time to initial steady state are the trial model responses included in the file. Values are listed for each initial landscape ID rather than trial because many trials had the same combinations of the factors that controlled the topography of the initial landscape. <strong>‘trial_response_values_perturb_phase_base_level_fall_scenario.csv’ and ‘trial_response_values_perturb_phase_fault_throw_scenario.csv’:</strong> Model responses of the perturb phase for base level fall and fault throw scenario along with the initial landscape ID, species count values, and the model time back to steady state. <strong>The files beginning with `sobol`</strong>: the sensitivity analysis results output by the software, ‘SALib’ (Herman and Usher, 2017). ‘S1’, ‘S2’, and ‘ST’ in the file name indicates if the file contains data of the Sobol first, second, or total order effect, respectively.
description: {"references": ["Herman, J., and Usher, W.: SALib: An open-source Python library for Sensitivity Analysis, Journal of Open Source Software, 2, https://doi.org/10.21105/joss.00097, 2017.", "Sobol I. M.: Distribution of points in a cube and approximate evaluation of integrals, Zh. Vychisl. Mat. Mat. Fiz., 7, 784\u2013802, 1967 (in Russian); Comp. Math. Math. Phys., 7, 86\u2013112, https://dx.doi.org/10.1016/0041-5553(67)90144-9, 1967 (in English)."]}
DOI: 10.5281/zenodo.3482930
title: Drainage reorganisation and species evolution: model sensitivity analysis data

description: Data description: <strong>‘trial_factor_values.csv’:</strong> The factor values for experiment trials were generated using a quasi-random Sobol sequence (Sobol, 1967). The table field, ‘initial_landscape_id’ is the identifier for unique combinations of the following factor values that controlled the landscape elevation in the initial conditions phase of the model: initial elevation seed, \(U\), \(K\), and \(k_d\). The factors, \(U\), \(K\), \(k_d\), \(P_m\), and allopatric wait time varied logarithmically. The values of these factors in the file are the exponent of base 10. <strong>‘trial_response_values_initial_conditions_phase.csv’:</strong> Topographic relief at steady state along with the model time to initial steady state are the trial model responses included in the file. Values are listed for each initial landscape ID rather than trial because many trials had the same combinations of the factors that controlled the topography of the initial landscape. <strong>‘trial_response_values_perturb_phase_base_level_fall_scenario.csv’ and ‘trial_response_values_perturb_phase_fault_throw_scenario.csv’:</strong> Model responses of the perturb phase for base level fall and fault throw scenario along with the initial landscape ID, species count values, and the model time back to steady state. <strong>The files beginning with `sobol`</strong>: the sensitivity analysis results output by the software, ‘SALib’ (Herman and Usher, 2017). ‘S1’, ‘S2’, and ‘ST’ in the file name indicates if the file contains data of the Sobol first, second, or total order effect, respectively.
description: {"references": ["Herman, J., and Usher, W.: SALib: An open-source Python library for Sensitivity Analysis, Journal of Open Source Software, 2, https://doi.org/10.21105/joss.00097, 2017.", "Sobol I. M.: Distribution of points in a cube and approximate evaluation of integrals, Zh. Vychisl. Mat. Mat. Fiz., 7, 784\u2013802, 1967 (in Russian); Comp. Math. Math. Phys., 7, 86\u2013112, https://dx.doi.org/10.1016/0041-5553(67)90144-9, 1967 (in English)."]}
DOI: 10.5281/zenodo.3888531
title: Plant CME Methods - Example Data

description: Example data to test analysis at 10.5281/zenodo.3888519 For further details please check www.github.com/ajohnsoncode/plantCmeMethods
DOI: 10.5281/zenodo.3888530
title: Plant CME Methods - Example Data

description: Example data to test analysis at 10.5281/zenodo.3888519 For further details please check www.github.com/ajohnsoncode/plantCmeMethods
DOI: 10.7910/dvn/wrdl17/0qzvx1
title: nationality.xlsx

description: :unav
DOI: 10.5519/qd.1xogafi7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1346105 records)
DOI: 10.25919/5ee66cfb4d932
title: Parkes observations for project P958 semester 2020APRS_18

description: Fast radio bursts (FRBs) continue to raise more questions than they answer. Until last year, only one burst – the only one known to repeat - had been localized to a bright radio nebula (either a young supernova remnant or pulsar wind nebulae) in a distant dwarf galaxy. Over the last three years searches with the Australian Square Kilometre Array Pathfinder (ASKAP) have detected 35 bursts, eight of which have been localised to host galaxies at redshifts ranging from 0.1 to 0.5. These bursts and their hosts are very unlike the repeater, suggesting there may be a dichotomy in the population. However one of the arcminute-localised ASKAP FRBs has recently been found to repeat. Here we propose to search and study repetitions in this FRB population. Our comprehensive sample and a dense monitoring campaign of well localised bursts, at a fluence limit more than 60 times lower than that of their detections to characterise the fraction of bursts that repeat. For bursts that repeat the unique wide bandwidth observations will be used to test leading models of burst emission.
DOI: 10.21227/et8d-w881
title: GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information

description: The past several years have witnessed a huge surge in the use of social media platforms during mass convergence events such as health emergencies, natural or human-induced disasters. These non-traditional data sources are becoming vital for disease forecasts and surveillance when preparing for epidemic and pandemic outbreaks. In this paper, we present GeoCoV19, a large-scale Twitter dataset containing more than 524 million multilingual tweets posted over a period of 90 days since February 1, 2020. Moreover, we employ a gazetteer-based approach to infer the geolocation of tweets. We postulate that this large-scale, multilingual, geolocated social media data can empower the research communities to evaluate how societies are collectively coping with this unprecedented global crisis as well as to develop computational methods to address challenges such as identifying fake news, understanding communities' knowledge gaps, building disease forecast and surveillance models, among others.
DOI: 10.21227/s2d7-yj47
title: GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information

description: The past several years have witnessed a huge surge in the use of social media platforms during mass convergence events such as health emergencies, natural or human-induced disasters. These non-traditional data sources are becoming vital for disease forecasts and surveillance when preparing for epidemic and pandemic outbreaks. In this paper, we present GeoCoV19, a large-scale Twitter dataset containing more than 524 million multilingual tweets posted over a period of 90 days since February 1, 2020. Moreover, we employ a gazetteer-based approach to infer the geolocation of tweets. We postulate that this large-scale, multilingual, geolocated social media data can empower the research communities to evaluate how societies are collectively coping with this unprecedented global crisis as well as to develop computational methods to address challenges such as identifying fake news, understanding communities' knowledge gaps, building disease forecast and surveillance models, among others.
DOI: 10.25573/data.11819745.v1
title: Raw 16S rRNA fastq data files for Bocas hypoxia study

description: This repository contains the <b>RAW</b> sequencing data for the herbivorous reef fish microbiome study. Trimmed reads (with primers removed) were deposited at the European Nucleotide Archive, study accession number <b>PRJEB36632 (ERP119845)</b>.<br>Raw fastq data files are named using the root format RunQ_XYZ, where Q is the run number (1, or 2), <b>X</b> is the habitat type (<b>C</b>oral, <b>W</b>ater, <b>S</b>ediment, <b>M</b>at), <b>YZ</b> is the site (CC = Coral Cay; CR = Cayo Roldan), and in some cases a replicate number. So...Run01_CCR1_R2_001.fastq...corresponds to the reverse reads (R2) of a Cayo Roldan (CR) coral sample (C), replicate #1, Run 1.<br><b>Raw fastq files are deposited here by Run.</b>We used the PowerSoil® DNA Isolation Kit (MoBio) following the manufacturer's protocol to extract community DNA from each sample.<br>Extracted DNA was sequenced on an Illumina MiSeq by Integrated Microbiome Resource at the Centre for Comparative Genomics and Evolutionary Bioinformatics (Dalhousie University).<br>We targeted the V4-V5 hypervariable region using 515F (5′-GTGYCAGCMGCCGCGGTA) and 926R (5′-CCGYCAATTYMTTTRAGT). We collected 38 samples encompassing two sites and four habitat typesWe generated sequence data for all 38 samples. In the first run (Run01), all samples were sequenced and, due to lower than average yield, several were re-sequenced (Run02). <br>This repo also contains the metadata files for submitting the <b>trimmed</b> data to the European Nucleotide Archive (ENA). Please do confuse this datasets with the dataset archived on the ENA (accession number PRJEB36632). In order to submit to the ENA, we had to first remove primers from the raw data and then upload the data along with these metadata files.<br><br><br>
DOI: 10.21227/jqmm-kk19
title: GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information

description: The past several years have witnessed a huge surge in the use of social media platforms during mass convergence events such as health emergencies, natural or human-induced disasters. These non-traditional data sources are becoming vital for disease forecasts and surveillance when preparing for epidemic and pandemic outbreaks. In this paper, we present GeoCoV19, a large-scale Twitter dataset containing more than 524 million multilingual tweets posted over a period of 90 days since February 1, 2020. Moreover, we employ a gazetteer-based approach to infer the geolocation of tweets. We postulate that this large-scale, multilingual, geolocated social media data can empower the research communities to evaluate how societies are collectively coping with this unprecedented global crisis as well as to develop computational methods to address challenges such as identifying fake news, understanding communities' knowledge gaps, building disease forecast and surveillance models, among others.
DOI: 10.5281/zenodo.3893886
title: Neural representation of threat features and behavior in a human approach-avoidance conflict anxiety task: Unthresholded SPM activation maps

description: This dataset includes group-level results from multifold parametric analyses of a high-resolution fMRI<br> approach-avoidance conflict anxiety task (n = 19). SPM Results are divided in primary<br> analyses using a 8 mm FWHM smoothing kernel, and secondary (localization)<br> analyses using a 4 mm FWHM kernel. Parametric modulators of BOLD activation were set up with serial orthogonalization in the following order:<br> P1: TP, TM, TP x TM<br> P2: A, TP, TM, A x TP, A x TM, TP x TM, A x TP x TM<br> P3: Two separate analyses for approach and avoidance trials. Order of modulators as in P1. Abbreviations:<br> TP = threat probability<br> TM = threat magnitude<br> A = action (approach / avoidance) The study is reported in the following reference:<br> Abivardi A.*, Khemka S.*, Bach D.R. (2020) Neural representation of threat features<br> and behavior in a human approach-avoidance conflict anxiety task (submitted)
DOI: 10.21227/2fq1-xv92
title: GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information

description: The past several years have witnessed a huge surge in the use of social media platforms during mass convergence events such as health emergencies, natural or human-induced disasters. These non-traditional data sources are becoming vital for disease forecasts and surveillance when preparing for epidemic and pandemic outbreaks. In this paper, we present GeoCoV19, a large-scale Twitter dataset containing more than 524 million multilingual tweets posted over a period of 90 days since February 1, 2020. Moreover, we employ a gazetteer-based approach to infer the geolocation of tweets. We postulate that this large-scale, multilingual, geolocated social media data can empower the research communities to evaluate how societies are collectively coping with this unprecedented global crisis as well as to develop computational methods to address challenges such as identifying fake news, understanding communities' knowledge gaps, building disease forecast and surveillance models, among others.
DOI: 10.21227/7j76-5682
title: GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information

description: The past several years have witnessed a huge surge in the use of social media platforms during mass convergence events such as health emergencies, natural or human-induced disasters. These non-traditional data sources are becoming vital for disease forecasts and surveillance when preparing for epidemic and pandemic outbreaks. We present GeoCoV19, a large-scale Twitter dataset containing more than 524 million multilingual tweets posted over a period of 90 days since February 1, 2020. Moreover, we employ a gazetteer-based approach to infer the geolocation of tweets. We postulate that this large-scale, multilingual, geolocated social media data can empower the research communities to evaluate how societies are collectively coping with this unprecedented global crisis as well as to develop computational methods to address challenges such as identifying fake news, understanding communities' knowledge gaps, building disease forecast and surveillance models, among others.
DOI: 10.5519/qd.8upgrhw4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.17632/r9xrtp3drh.1
title: Data for: Fourier transform CO spectra near 1.6 μm
DOI: 10.21227/8hz3-k174
title: GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information

description: The past several years have witnessed a huge surge in the use of social media platforms during mass convergence events such as health emergencies, natural or human-induced disasters. These non-traditional data sources are becoming vital for disease forecasts and surveillance when preparing for epidemic and pandemic outbreaks. We present GeoCoV19, a large-scale Twitter dataset containing more than 524 million multilingual tweets posted over a period of 90 days since February 1, 2020. Moreover, we employ a gazetteer-based approach to infer the geolocation of tweets. We postulate that this large-scale, multilingual, geolocated social media data can empower the research communities to evaluate how societies are collectively coping with this unprecedented global crisis as well as to develop computational methods to address challenges such as identifying fake news, understanding communities' knowledge gaps, building disease forecast and surveillance models, among others.
DOI: 10.5281/zenodo.3893896
title: Hydraulic and geochemical impact of occasional saltwater intrusions through a submarine spring in a karst and thermal aquifer (Balaruc peninsula near Montpellier, France)

description: Contains geochemical and isotopic data presented in the scientific paper "Hydraulic and geochemical impact of occasional saltwater intrusions through a submarine spring in a karst and thermal aquifer (Balaruc peninsula near Montpellier, France)". Files contain physico-chemical parameters, major ions, rare earth elements and isotopic data (Sr, B) for karst and thermal groundwater samples collected between 2010 and 2018 in the Balaruc-les-Bains (France) area.
DOI: 10.21227/3qga-wm78
title: GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information

description: The past several years have witnessed a huge surge in the use of social media platforms during mass convergence events such as health emergencies, natural or human-induced disasters. These non-traditional data sources are becoming vital for disease forecasts and surveillance when preparing for epidemic and pandemic outbreaks. We present GeoCoV19, a large-scale Twitter dataset containing more than 524 million multilingual tweets posted over a period of 90 days since February 1, 2020. Moreover, we employ a gazetteer-based approach to infer the geolocation of tweets. We postulate that this large-scale, multilingual, geolocated social media data can empower the research communities to evaluate how societies are collectively coping with this unprecedented global crisis as well as to develop computational methods to address challenges such as identifying fake news, understanding communities' knowledge gaps, building disease forecast and surveillance models, among others.
DOI: 10.5281/zenodo.3893917
title: Cost-Effective Methods to Retrofit Metal Culverts Using Composites

description: One of the current pressing problems for all DOTs is the corrosion-oriented deterioration of existing metal culverts. These metal culverts typically are designed for a life of 50 years. However, corrosion is making them last no longer than 30 years. A Glass Fiber Reinforced Polymers (GFRP) pipe section has been evaluated as a fit-in GFRP profile liner for complete repair and rehabilitation of the corroded metal culvert with an expected life of 75 years. This is mainly because of the corrosion free nature of the GFRP material. A comprehensive rehabilitation methodology and laboratory scale three-point bending test was conducted to test the composite action of the steel-GFRP section. A finite element model was developed to provide inference on the mechanics of the GFRP-CMP section and the effect of corrosion on the mechanics of the retrofitted pipe. The FE model was verified with experimental observations and will be used to design GFRP section for retrofitting an existing culvert in the field. A Life Cycle Cost Analysis model was developed to conduct a cost-benefit analysis of the proposed retrofitting technique and compare it with other existing technologies.
description: Tran-SET Project 17STUNM03
DOI: 10.5281/zenodo.3893916
title: Cost-Effective Methods to Retrofit Metal Culverts Using Composites

description: One of the current pressing problems for all DOTs is the corrosion-oriented deterioration of existing metal culverts. These metal culverts typically are designed for a life of 50 years. However, corrosion is making them last no longer than 30 years. A Glass Fiber Reinforced Polymers (GFRP) pipe section has been evaluated as a fit-in GFRP profile liner for complete repair and rehabilitation of the corroded metal culvert with an expected life of 75 years. This is mainly because of the corrosion free nature of the GFRP material. A comprehensive rehabilitation methodology and laboratory scale three-point bending test was conducted to test the composite action of the steel-GFRP section. A finite element model was developed to provide inference on the mechanics of the GFRP-CMP section and the effect of corrosion on the mechanics of the retrofitted pipe. The FE model was verified with experimental observations and will be used to design GFRP section for retrofitting an existing culvert in the field. A Life Cycle Cost Analysis model was developed to conduct a cost-benefit analysis of the proposed retrofitting technique and compare it with other existing technologies.
description: Tran-SET Project 17STUNM03
DOI: 10.5281/zenodo.3893924
title: GEMINI3D: 2-D test data

description: Files used for self-verification of GEMINI program. https://github.com/gemini3d/gemini v3.2.0 new API/meta
DOI: 10.18112/openneuro.ds002892.v1.0.0
title: Braille BCI
DOI: 10.6084/m9.figshare.3761562.v1517
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.25919/5ee6b1a6e68f3
title: Gold nuggets, the inside story. Petrographic observations

description: A series of 40 PowerPoint Notes pdf presentations illustrating and describing the external and internal structure and composition of specimens of gold nuggets and large particles of visible gold from Australia (WA, NSW, Vic, Q), Papua New Guinea and Thailand. Each presentation provides a stand-alone description of one or two specimens, and whole collection provides Supplementary data supporting a publication. Includes studies of the Liversidge Collection from the Natural History Museum, London.
DOI: 10.3886/e119501v1
title: Adaptive Challenges of Curriculum Implementation

description: Interview protocols for a qualitative case studies on state standards implementation at district and school levels.
description: face-to-face interview;
description: In years 2018-2019, the research team undertook an embedded multiple case study (Yin, 2017) in four districts, one district in four of the Center’s partner states--California, Massachusetts, Ohio, and Pennsylvania. The districts within each state were purposefully chosen from a random sample of districts identified for a parallel survey study conducted by the Center (see c-sail.org). District selection criteria for our case study included (a) one rural district, two suburban districts, and one urban district, (b) a balance of affluent and economically disadvantaged districts, (c) relatively high populations of SWDs and ELs compared to other districts in the state, and (d) active engagement in reforming their curricula to align with recently revised state standards. We traveled to these four districts and spent one week interviewing general education teachers, SWD teachers, EL teachers, principals, instructional coaches, and district leaders (e.g., curriculum directors, SWD directors, EL directors, superintendents or their designees) using semi-structured, 30-45 minute interview protocols that included questions about their experiences with using the standards to design and deliver lessons, their district’s curricular reform efforts, PD opportunities, assessment and accountability, and supports for SWDs and ELs.