cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16896673.v1
title: June 2020 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>June, 2020</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16896679
title: September 2020 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>September, 2020</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16896679.v1
title: September 2020 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>September, 2020</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16896682.v1
title: December 2020 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>December, 2020</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16896682
title: December 2020 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>December, 2020</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16896685
title: August 2020 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>August, 2020</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16896685.v1
title: August 2020 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>August, 2020</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.15468/ccrerh
title: A preliminary research and notes on Orthoptera (Insecta) Fauna of Hakkari Province

description: This dataset contains the digitized treatments in Plazi based on the original journal article Taylan, Mehmet Sait, Şirin, Deniz, Sevgili, Hasan, Yeşilyurt, Fatih (2021): A preliminary research and notes on Orthoptera (Insecta) Fauna of Hakkari Province. Zootaxa 5060 (1): 45-70, DOI: https://doi.org/10.11646/zootaxa.5060.1.2
DOI: 10.18154/rwth-2020-09627
title: Test data for Stylometric Authorship Attribution

description: Test data for the identification of an author of source code using stylometrics. The archive contains both the Python script for evaluating the data and test data in the Java programming language that was collected as part of the MATSE training.
DOI: 10.6084/m9.figshare.15135297.v2
title: Table of Characterization and identification of 18 C. diphtheriae isolates from Indonesia

description: Table contains data of 18 Corynebacterium diphtheriae isolates from Indonesia.
DOI: 10.6084/m9.figshare.15135297
title: Table of Characterization and identification of 18 C. diphtheriae isolates from Indonesia

description: Table contains data of 18 Corynebacterium diphtheriae isolates from Indonesia.
DOI: 10.6084/m9.figshare.15135297.v1
title: Table of Characterization and identification of 18 C. diphtheriae isolates from Indonesia

description: Table contains data of 18 Corynebacterium diphtheriae isolates from Indonesia.
DOI: 10.15468/27pvq3
title: Diagnoses of two new species of Parosphromenus (Teleostei: Osphronemidae) from Bangka Island and Kalimantan, Indonesia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Shi, Wentian, Guo, Shujie, Haryono, Haryono, Hong, Yijiang, Zhang, Wanchang (2021): Diagnoses of two new species of Parosphromenus (Teleostei: Osphronemidae) from Bangka Island and Kalimantan, Indonesia. Zootaxa 5060 (1): 71-92, DOI: https://doi.org/10.11646/zootaxa.5060.1.3
DOI: 10.5522/04/16896547
title: The 'Pritchard Trap' survey method for benthic fish - data from deployment time experiment and comparison with Triple Drawdown (TDD) and electrofishing

description: The 'Pritchard Trap' is a novel survey method originally designed to survey crayfish. Here we tested whether the PT would also be suitable for benthic fish surveys. Surveys were carried out in a rocky headwater system in North Yorkshire, UK. A deployment time experiment was undertaken to determine the minimum deployment time. Data for deployment intervals of 1, 2, 4, 7 and 10 days are presented. The PTs were also compared to the Triple Drawdown (TDD) technique and electrofishing. Date from electrofishing surveys (2018), TDDs (2018) and repeat PT sampling (2019) are presented.
DOI: 10.5522/04/16896547.v1
title: The 'Pritchard Trap' survey method for benthic fish - data from deployment time experiment and comparison with Triple Drawdown (TDD) and electrofishing

description: The 'Pritchard Trap' is a novel survey method originally designed to survey crayfish. Here we tested whether the PT would also be suitable for benthic fish surveys. Surveys were carried out in a rocky headwater system in North Yorkshire, UK. A deployment time experiment was undertaken to determine the minimum deployment time. Data for deployment intervals of 1, 2, 4, 7 and 10 days are presented. The PTs were also compared to the Triple Drawdown (TDD) technique and electrofishing. Date from electrofishing surveys (2018), TDDs (2018) and repeat PT sampling (2019) are presented.
DOI: 10.6073/pasta/e482b510e3ce8ee6a62b39a6a9c308e6
title: Plant Pollinator data at HJ Andrews Experimental Forest, 2011 to 2015

description: Despite the importance of plant-pollinator interactions for ecological communities, few long-term observational studies have been conducted of plant-pollinator networks. This study involves the annual collection of plant-pollinator interaction data from up to 18 meadows in the Willamette National Forest, Oregon, including 12 meadows in the HJ Andrews Forest. This study addresses how meadow size, the amount of nearby meadow habitat, weather, degree days, and soil moisture are related to the flowering of meadow plants and the frequency of plant-pollinator interactions.
DOI: 10.15468/je7zcb
title: Geothelphusa boreas, a new montane freshwater crab (Crustacea: Potamidae Geothelphusa) from northeastern Taiwan, and the identity of G. hirsuta Tan & Liu, 1998

description: This dataset contains the digitized treatments in Plazi based on the original journal article Shy, Jhy-Yun, Shih, Hsi-Te, Mao, Jean-Jay (2021): Geothelphusa boreas, a new montane freshwater crab (Crustacea: Potamidae Geothelphusa) from northeastern Taiwan, and the identity of G. hirsuta Tan & Liu, 1998. Zootaxa 5060 (1): 93-104, DOI: https://doi.org/10.11646/zootaxa.5060.1.4
DOI: 10.5281/zenodo.5607591
title: Salinity and horizontal components of velocity of the eastern part of the Black Sea

description: The high resolution Black Sea circulation in 2008 - 2009 from numerical simulations obtained with NEMO modeling framework v 3.6 [Madec et al., 2016]. Such a resolution was used in order to reproduce meso- and submesoscale dynamics in the so-called Euxinus cascade, including basins of the Azov, Black and Marmara Seas [Mizyuk, Puzina, 2019; Mizyuk, Korotaev, 2020]. Below the brief description of the developed regional configuration is presented. The horizontal grid is a quasi-uniform geographical mesh with a resolution of 1/96° × 1/69° northward and eastward correspondingly. The model bottom topography is based on bathymetric data from the EMODnet v1 digital elevation model (URL: http://www.emodnet-bathymetry.eu). To reproduce adequate flow values through the Bosphorus Strait, the "partially closed cell” technique was used [Madec et al., 2016]. The calculation was carried out for the period 2008-2009. For vertical descritisation we used a partial step z-coordinate. The time step of 1 min was chosen. Vertical turbulent mixing was performed using the k – ε model [Rodi, 1987]. The lasteral diffusion on momentum and tracers described with the bilaplacian operator. The corresponding values for turbulent viscosity and diffusivity are (-4 10<sup>7</sup> m<sup>4</sup>/s) and (-8 10<sup>6</sup> m<sup>4</sup>/s). The vector form was used for momentum equations with an energy and enstrophy conserving scheme. Advection terms of tracer equations are calculated with the TVD scheme [Zalesak, 1979] . The UNESCO formula is used as the equation of state. The sea surface height is calculated using split-explicit scheme. The initial temperature and salinity for the Black Sea (BS) basin were taken from BS Marine Forecasting Center (http://mis.bsmfc.net:8080/thredds/catalog.html). For the Sea of Marmara the initial conditions are taken from the product of the Global Ocean reanalysis of CMEMS (www.marine.coperniucs.eu).The initial conditions for the basin of the Azov Sea were considered as climate data obtained using an optimal interpolation procedure of all available in-situ measurements provided by CMEMS in-situ TAC and SeaDataNet project (https://www.seadatanet.org/). Surface boundary conditions were obtained the product of ECMWF ERA5 reanalysis [Hersbach et al., 2020] with the spatial resolution of 1/4° and time resolution of 1 h. Open boundary conditions for Marmara Sea.
DOI: 10.5281/zenodo.5604588
title: Salinity and horizontal components of velocity of the eastern part of the Black Sea

description: The high resolution Black Sea circulation in 2008 - 2009 from numerical simulations obtained with NEMO modeling framework v 3.6 [Madec et al., 2016]. Such a resolution was used in order to reproduce meso- and submesoscale dynamics in the so-called Euxinus cascade, including basins of the Azov, Black and Marmara Seas [Mizyuk, Puzina, 2019; Mizyuk, Korotaev, 2020]. Below the brief description of the developed regional configuration is presented. The horizontal grid is a quasi-uniform geographical mesh with a resolution of 1/96° × 1/69° northward and eastward correspondingly. The model bottom topography is based on bathymetric data from the EMODnet v1 digital elevation model (URL: http://www.emodnet-bathymetry.eu). To reproduce adequate flow values through the Bosphorus Strait, the "partially closed cell” technique was used [Madec et al., 2016]. The calculation was carried out for the period 2008-2009. For vertical descritisation we used a partial step z-coordinate. The time step of 1 min was chosen. Vertical turbulent mixing was performed using the k – ε model [Rodi, 1987]. The lasteral diffusion on momentum and tracers described with the bilaplacian operator. The corresponding values for turbulent viscosity and diffusivity are (-4 10<sup>7</sup> m<sup>4</sup>/s) and (-8 10<sup>6</sup> m<sup>4</sup>/s). The vector form was used for momentum equations with an energy and enstrophy conserving scheme. Advection terms of tracer equations are calculated with the TVD scheme [Zalesak, 1979] . The UNESCO formula is used as the equation of state. The sea surface height is calculated using split-explicit scheme. The initial temperature and salinity for the Black Sea (BS) basin were taken from BS Marine Forecasting Center (http://mis.bsmfc.net:8080/thredds/catalog.html). For the Sea of Marmara the initial conditions are taken from the product of the Global Ocean reanalysis of CMEMS (www.marine.coperniucs.eu).The initial conditions for the basin of the Azov Sea were considered as climate data obtained using an optimal interpolation procedure of all available in-situ measurements provided by CMEMS in-situ TAC and SeaDataNet project (https://www.seadatanet.org/). Surface boundary conditions were obtained the product of ECMWF ERA5 reanalysis [Hersbach et al., 2020] with the spatial resolution of 1/4° and time resolution of 1 h. Open boundary conditions for Marmara Sea.
DOI: 10.5519/qd.w3d95tkm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (29 records)
DOI: 10.18154/rwth-2020-00065
title: Performance Data for FLEX

description: Performance measurements of the FLEX Client software. The archive contains both the measured raw data and scripts for their evaluation and processing.
DOI: 10.6084/m9.figshare.11933313
title: Corporate (Interlocking / Social Networks)

description: Software that builds representations of social networks based on corporate board membership as reported in filings submitted to the SEC (The U.S. Securities and Exchange Commission). "Explorable" data using visualization tools such as Cytoscape.<br>Collected from open data sources via self-developed programs using data produced and processed from sources believed to be reliable; no warranty, expressed or implied, is made regarding accuracy, adequacy, completeness, legality, reliability or usefulness of any information. This disclaimer applies to both isolated and aggregate uses of the information. The information is provided on an "as is" basis.
DOI: 10.6084/m9.figshare.11933313.v4
title: Corporate (Board Interconnectivity Data / Social Networks)

description: An XML file resultant from research on social networks formed via corporate board membership. "Explorable" data using visualization tools such as Cytoscape. <br><br>Collected from open data sources via automated programs using data produced and processed from sources believed to be reliable; no warranty, expressed or implied, is made regarding accuracy, adequacy, completeness, legality, reliability or usefulness of any information. This disclaimer applies to both isolated and aggregate uses of the information. The information is provided on an "as is" basis.
DOI: 10.5281/zenodo.5608367
title: Causes for biases in cloud diurnal variation in global climate model

description: data of "Causes for biases in cloud diurnal variation in global climate model" draft
DOI: 10.5281/zenodo.5608366
title: Causes for biases in cloud diurnal variation in global climate model

description: data of "Causes for biases in cloud diurnal variation in global climate model" draft
DOI: 10.15468/wr7up4
title: A new subspecies in the Turdus nudigenis complex (Aves: Turdidae) from the Cauca River valley of Colombia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Avendaño, Jorge Enrique, Cuervo, Andrés M., Montoya, Paola, Pulgarín-R, Paulo C., Stiles, F. Gary (2021): A new subspecies in the Turdus nudigenis complex (Aves: Turdidae) from the Cauca River valley of Colombia. Zootaxa 5060 (1): 105-123, DOI: https://doi.org/10.11646/zootaxa.5060.1.5
DOI: 10.5281/zenodo.5506534
title: Data for the publication "Assessing the potential for simplification in global climate model cloud microphysics"

description: This repository contains the data for the paper: Authors: Ulrike Proske, Sylvaine Ferrachat, David Neubauer, Martin Staab, and Ulrike Lohmann<br> Titel: Assessing the potential for simplification in global climate model cloud microphysics<br> Date: 2021 Note that the scripts can be found in the accompanying package (https://doi.org/10.5281/zenodo.5506588)
DOI: 10.5281/zenodo.5091786
title: Data for the "Cirrus cloud thinning using a more physically-based ice microphysics scheme in the ECHAM-HAM GCM" manuscript

description: This repository contains the post-processed data files for plotting and interpreting the results of "Cirrus cloud thinning using a more physically-based ice microphysics scheme in the ECHAM-HAM GCM" study. The files are all netCDF4 except for the analysis files that show global mean values in a .txt format.
DOI: 10.6084/m9.figshare.16896838
title: Data pack for a phylogenomics exercise

description: A toy dataset to go through a phylogenomics exercise.
DOI: 10.6084/m9.figshare.16896838.v1
title: Data pack for a phylogenomics exercise

description: A toy dataset to go through a phylogenomics exercise.
DOI: 10.5281/zenodo.5500477
title: Datasets and OpenLCA foreground data processes for the article: Understanding environmental trade-offs and resource demand of direct air capture technologies through comparative life-cycle assessment

description: This data set contains the supplementary data sets (1-3) and exported foreground data processes from OpenLCA for the manuscript “Understanding environmental trade-offs and resource demand of direct air capture technologies through comparative life-cycle assessment”, submitted to Nature Energy. This repository contains: Supplementary data set 1: Ancillary calculations and numerical values for HT-Aq DAC Supplementary data set 2: Ancillary calculations and numerical values for TSA DAC Supplementary data set 3: Ancillary calculations and numerical values shown in plots and table 3 Foreground data from OpenLCA. OpenLCA process model for different cases of HT-Aq DAC and TSA DAC. To re-run the LCA calculations, OpenLCA (freeware) and the Ecoinvent 3.5 database (license required) need to be installed on a standard desktop computer or laptop with at least 8 GB RAM.
DOI: 10.5281/zenodo.5500476
title: Datasets and OpenLCA foreground data processes for the article: Understanding environmental trade-offs and resource demand of direct air capture technologies through comparative life-cycle assessment

description: This data set contains the supplementary data sets (1-3) and exported foreground data processes from OpenLCA for the manuscript “Understanding environmental trade-offs and resource demand of direct air capture technologies through comparative life-cycle assessment”, submitted to Nature Energy. This repository contains: Supplementary data set 1: Ancillary calculations and numerical values for HT-Aq DAC Supplementary data set 2: Ancillary calculations and numerical values for TSA DAC Supplementary data set 3: Ancillary calculations and numerical values shown in plots and table 3 Foreground data from OpenLCA. OpenLCA process model for different cases of HT-Aq DAC and TSA DAC. To re-run the LCA calculations, OpenLCA (freeware) and the Ecoinvent 3.5 database (license required) need to be installed on a standard desktop computer or laptop with at least 8 GB RAM.
DOI: 10.18154/rwth-2020-00059
title: System Usability Scale for FLEX

description: The results of the "Software Usability Scale" survey of the FLEX client carried out in the context of the MATSE Ausbildung. The archive contains scans of the paper questionnaires, digital transcripts as Excel sheets and a script for computing the SUS score.
DOI: 10.7294/16655860
title: Experimental data to accompany the paper ‘The structure of a highly-decelerated axisymmetric turbulent boundary layer’ Journal of Fluid Mechanics, In press, 2021.

description: This dataset accompanies the paper ‘The structure of a highly-decelerated axisymmetric turbulent boundary layer’, Balantrapu N. A., Hickling. C., Alexander W. N., Devenport W. J., Journal of Fluid Mechanics, in press, 2021. The turbulent boundary layer over an axisymmetric body, relevant to vehicular configurations, is documented and studies to discover the underlying physics in addition supplying information towards advancing turbulence modelling and aeroacoustics predictions. Measurements of the mean flow, turbulence and correlation structure were documented using hotwire anemometry and Particle Image Velocimetry and are discussed in the stated publication. Here, the relevant data are presented.