cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4444779
title: Twitter analysis of the five main political leaders during the 2019 UK electoral campaign: from 12 October to 16 December 2019

description: The analysis was conducted from 12 October to 16 December 2019 on Twitter through the study of the five main political leaders— Boris Johnson, Jeremy Corbyn, Jo Swinson, Nicola Sturgeon, and Nigel Farage — during the 2019 UK electoral campaign.
DOI: 10.15161/oar.it/73409
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.4444780
title: Twitter analysis of the five main political leaders during the 2019 UK electoral campaign: from 12 October to 16 December 2019

description: The analysis was conducted from 12 October to 16 December 2019 on Twitter through the study of the five main political leaders— Boris Johnson, Jeremy Corbyn, Jo Swinson, Nicola Sturgeon, and Nigel Farage — during the 2019 UK electoral campaign.
DOI: 10.5281/zenodo.4444774
title: Twitter analysis of the five main political leaders during the 2019 UK electoral campaign: from 12 October to 16 December 2019

description: The analysis was conducted from 12 October to 16 December 2019 on Twitter through the study of the five main political leaders— Boris Johnson, Jeremy Corbyn, Jo Swinson, Nicola Sturgeon, and Nigel Farage — during the 2019 UK electoral campaign.
DOI: 10.15468/uns62m
title: Fauna Collection in Region 1 Landscape

description: Inventory of fauna collected from available literature confined in Region 1, Philippines.
DOI: 10.6084/m9.figshare.13489407.v2
title: Breaching and Maintaining Social Distancing to Enhance Academic Performance of Pre-Service Science Teachers Through Blended Learning in COVID-19

description: Breaching and Maintaining Social Distancing to Enhance Academic Performance of Pre-Service Science Teachers Through Blended Learning in COVID-19<b></b>
DOI: 10.6084/m9.figshare.13489407
title: Breaching and Maintaining Social Distancing to Enhance Academic Performance of Pre-Service Science Teachers Through Blended Learning in COVID-19

description: Breaching and Maintaining Social Distancing to Enhance Academic Performance of Pre-Service Science Teachers Through Blended Learning in COVID-19<b></b>
DOI: 10.6084/m9.figshare.13489407.v1
title: Breaching and Maintaining Social Distancing to Enhance Academic Performance of Pre-Service Biology Teachers Through Blended Learning in COVID-19

description: Breaching and Maintaining Social Distancing to Enhance Academic Performance of Pre-Service Biology Teachers Through Blended Learning in COVID-19<b></b>
DOI: 10.6084/m9.figshare.13586081
title: A systematic review on the case findings and management of COVID-19

description: PRISMA Checklist for: 'A systematic review on the case findings and management of COVID-19'
DOI: 10.6084/m9.figshare.13551467.v1
title: Biographies of literature writers

description: This dataset contains 1000 biographies of literature writers retrieved from the english version of Wikipedia. There is a total of 500 biographies of women writers extracted from the category entitled “19th-century_women_writers” (https://en.wikipedia.org/wiki/Category:19th-century_women_writers) and 500 male biographies extracted from the category “19th-century_male_writers” (https://en.wikipedia.org/wiki/Category:19th-century_male_writers)
DOI: 10.21227/qn98-7d83
title: test

description: test
DOI: 10.6084/m9.figshare.13574606.v3
title: y5b’2a smFISH conditioning

description: y5b’2a smFISH conditioning
DOI: 10.6084/m9.figshare.13574606
title: y5b’2a smFISH conditioning

description: y5b’2a smFISH conditioning
DOI: 10.21227/j9eg-mz75
title: Intever Public Database for Arcing Event Detection (IAED)

description: We provide a public available database for arcing event detection. We design a platform for arcing fault simulation. The arc simulation is carried out in our local lab under room temperature. A general procedure to collect the arcing and normal current and voltage wave, is designed, which consists of turning on the load, generating arc, stoping arc, turning off the load. The data is collected by a 16bit, 10KHz high resolution recorder and a 12bit, 64000Hz low resolution sensor.
DOI: 10.21227/xr61-pt43
title: Intever Public Database for Arcing Event Detection (IAED)

description: We provide a public available database for arcing event detection. We design a platform for arcing fault simulation. The arc simulation is carried out in our local lab under room temperature. A general procedure to collect the arcing and normal current and voltage wave, is designed, which consists of turning on the load, generating arc, stoping arc, turning off the load. The data is collected by a 16bit, 10KHz high resolution recorder and a 12bit, 64000Hz low resolution sensor.
DOI: 10.21227/p650-0f56
title: test

description: test
DOI: 10.5281/zenodo.4444854
title: The cultural transmission of causally (ir)relevant actions in the laboratory: Does modelling or verbal instruction lead to greater copying fidelity?

description: This study examines the fidelity with which adults vs. children transmit a set of actions within diffusion chains (generations 1 to 3). The set consisted of causally relevant and causally irrelevant actions. Half of the adult and half of the child chains transmitted the actions via demonstration (next participant saw the previous perform the actions on video); the other half transmitted them verbally (next participant listened to audio file the previous participant describe his/her actions). We measured whether the actions were retained (i.e. re-produced by each next participant in the chain).
DOI: 10.5281/zenodo.4081843
title: The cultural transmission of causally (ir)relevant actions in the laboratory: Does modelling or verbal instruction lead to greater copying fidelity?

description: This study examines the fidelity with which adults vs. children transmit a set of actions within diffusion chains (generations 1 to 3). The set consisted of causally relevant and causally irrelevant actions. Half of the adult and half of the child chains transmitted the actions via demonstration (next participant saw the previous perform the actions on video); the other half transmitted them verbally (next participant listened to audio file the previous participant describe his/her actions). We measured whether the actions were retained (i.e. re-produced by each next participant in the chain).
DOI: 10.6084/m9.figshare.13573388
title: Supplemental information.pdf

description: Supplementary data 1 Identification of the differentially expressed genes between each groups<br>Supplementary data 2 GO analysis for the differentially expressed genes<br><br>Supplementary data 3 KEGG pathway enrichment for the differentially expressed genes<br><br>Supplementary Table 1 103 transcription factors with bHLH structure.<br><br>Supplementary Table 2 Candidate genes with E-frame motif (20).<br>
DOI: 10.6084/m9.figshare.13573388.v1
title: Supplemental information.pdf

description: Supplementary data 1 Identification of the differentially expressed genes between each groups<br>Supplementary data 2 GO analysis for the differentially expressed genes<br><br>Supplementary data 3 KEGG pathway enrichment for the differentially expressed genes<br><br>Supplementary Table 1 103 transcription factors with bHLH structure.<br><br>Supplementary Table 2 Candidate genes with E-frame motif (20).<br>
DOI: 10.5281/zenodo.4297462
title: Simulated atmospheric CO2 concentration at Point Barrow, Alaska

description: This dataset is provided in order to enable the reproduction of findings from a series of experiments with the CASA-TOMCAT model setup (Chipperfield, 2006). The Carnegie Ames Stanford Approach (CASA) is a land-surface model that was used to produce fluxes of net ecosystem exchange (NEE) and fires. Our simulations held various input parameters constant in CASA (described below). We then forced the TOMCAT atmospheric chemistry model with these data to produce an estimate of atmospheric CO2 at the Barrow Observatory in Alaska. Further information on the details of the model setup is described in the 'Model_setup.txt' file. Enclosed in this directory are the simulated CO2 at Barrow observatory, Alaska (71.3N, 156.6E) for a number of experiments which are described below. Half of the text files have variable meteorology and are described as 'atmos_vary' in the title, the remaining half have constant (periodical) meteorology, in which atmospheric transport is retained at 1992 values (and described as 'atmos_const'). Within each file is the time and date of each measurement of atmospheric CO2 in ppm. In order to obtain the required simulated atmospheric value, add the background, ocean, and fossil fuel (FF) tracer values to the relevant NEE and fire value from the simulation of interest. The simulations are as follows (with their abbreviation given in parentheses): Constant, periodical temperature scalar (temp)<br> Constant, periodical temperature and moisture scalars (temppre)<br> Constant, periodical fraction of photosynthetically active radiation (fpar)<br> Constant, periodical solar radiation (solrad)<br> All the above variables held constant, periodical (all)<br> Control run in which everything varies (ctrl)
description: {"references": ["Chipperfield, M (2006). New version of the TOMCAT/SLIMCAT offline chemical transport model: Intercomparison of stratospheric tracer experiments"]}
DOI: 10.5281/zenodo.4297461
title: Simulated atmospheric CO2 concentration at Point Barrow, Alaska

description: This dataset is provided in order to enable the reproduction of findings from a series of experiments with the CASA-TOMCAT model setup (Chipperfield, 2006). The Carnegie Ames Stanford Approach (CASA) is a land-surface model that was used to produce fluxes of net ecosystem exchange (NEE) and fires. Our simulations held various input parameters constant in CASA (described below). We then forced the TOMCAT atmospheric chemistry model with these data to produce an estimate of atmospheric CO2 at the Barrow Observatory in Alaska. Further information on the details of the model setup is described in the 'Model_setup.txt' file. Enclosed in this directory are the simulated CO2 at Barrow observatory, Alaska (71.3N, 156.6E) for a number of experiments which are described below. Half of the text files have variable meteorology and are described as 'atmos_vary' in the title, the remaining half have constant (periodical) meteorology, in which atmospheric transport is retained at 1992 values (and described as 'atmos_const'). Within each file is the time and date of each measurement of atmospheric CO2 in ppm. In order to obtain the required simulated atmospheric value, add the background, ocean, and fossil fuel (FF) tracer values to the relevant NEE and fire value from the simulation of interest. The simulations are as follows (with their abbreviation given in parentheses): Constant, periodical temperature scalar (temp)<br> Constant, periodical temperature and moisture scalars (temppre)<br> Constant, periodical fraction of photosynthetically active radiation (fpar)<br> Constant, periodical solar radiation (solrad)<br> All the above variables held constant, periodical (all)<br> Control run in which everything varies (ctrl)
description: {"references": ["Chipperfield, M (2006). New version of the TOMCAT/SLIMCAT offline chemical transport model: Intercomparison of stratospheric tracer experiments"]}
DOI: 10.25646/7866
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.25646/7868
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.21227/f9kv-kk35
title: test

description: test
DOI: 10.21227/6j29-f415
title: test

description: test
DOI: 10.5281/zenodo.4429824
title: Predictions results of DeepViral

description: Predictions results of the DeepViral paper, available at https://doi.org/10.1101/2020.04.22.055095. All files are tab separated, with 6 fields: &lt;virus protein&gt; &lt;human protein&gt; &lt;virus taxon&gt; &lt;virus family&gt; &lt;predicted score&gt; &lt;label based on HPIDB&gt; 1. The prediction results for 14 virus families based on the LOFO experiments. Each method was evaluated 5 times, i.e., indexed 0-4. The baseline methods: RCNN - preds_rcnn_i.txt and RF+Doc2Vec - preds_rf_i.txt The DeepViral variants: pheno: seq + viral embedding go: seq + human embedding seq and joint as described 2. The prediction results for 4 virus species based on the LOSO experiments. Each method was evaluated 5 times, i.e., indexed 0-4. t - test virus; v - validation virus. Taxon IDs are based on NCBI Taxonomy. species - LOSO; family - LOFO
DOI: 10.5281/zenodo.4429823
title: Predictions results of DeepViral

description: Predictions results of the DeepViral paper, available at https://doi.org/10.1101/2020.04.22.055095. All files are tab separated, with 6 fields: &lt;virus protein&gt; &lt;human protein&gt; &lt;virus taxon&gt; &lt;virus family&gt; &lt;predicted score&gt; &lt;label based on HPIDB&gt; 1. The prediction results for 14 virus families based on the LOFO experiments. Each method was evaluated 5 times, i.e., indexed 0-4. The baseline methods: RCNN - preds_rcnn_i.txt and RF+Doc2Vec - preds_rf_i.txt The DeepViral variants: pheno: seq + viral embedding go: seq + human embedding seq and joint as described 2. The prediction results for 4 virus species based on the LOSO experiments. Each method was evaluated 5 times, i.e., indexed 0-4. t - test virus; v - validation virus. Taxon IDs are based on NCBI Taxonomy. species - LOSO; family - LOFO
DOI: 10.6084/m9.figshare.13586225
title: Table S3 from The demography of extinction in eastern North American birds

description: Table containing read statistics for each individual.
DOI: 10.6084/m9.figshare.13586225.v1
title: Table S3 from The demography of extinction in eastern North American birds

description: Table containing read statistics for each individual.
DOI: 10.6084/m9.figshare.13586231.v1
title: Table S4 from The demography of extinction in eastern North American birds

description: Table containing sampling areas and locus statistics.
DOI: 10.6084/m9.figshare.13586222
title: Table S6 from The demography of extinction in eastern North American birds

description: Neural network probabilities for alternative demographic models for each species using different generation times. The models are as follows: population bottleneck (BN), constant population size (CS), population expansion (EXP), population expansion with a post last glacial maximum (LGM) bottleneck (BN2), and a population bottleneck with a post LGM expansion (EXP2). Included are the cost of the neural net (loss) and the accuracy of the trained network for assigning the simulated data to the models. Presented are the results from the fixed (top) and wide prior (bottom) for the mutation rate using generation times of 1 yr (a), 2 yrs (b), 3 yrs (c), and species-specific generation times from the literature (d).
DOI: 10.6084/m9.figshare.13586228
title: Table S1 from The demography of extinction in eastern North American birds

description: Spreadsheet containing specimen sampling details. Included are specimens numbers and locality information.
DOI: 10.5281/zenodo.4444751
title: 2DUV Machine Learning Protocol Code

description: Simulation data and code of ML protocol for 2DUV spectra of proteins. Any researchers who interested in protein spectroscopy can use our ML protocol online service: http://www.dcaiku.com:13000 For the machine learning protocol source code written in Python and Bash language which including: 2duv_simulation folder 2DUV folder 0_parse_traj.py: Parse the MD trajectory in pdb format. 1_bench_genH.sh: PBS script for generating the excition Hamiltonian,and E/M dipoles. 1_cal_Hamil.py: Python script for submitting a large number of PBS script at once. 2_extract_struc.py: Extract mode information of secondary structure segments from pdb file. 3_extract_Hamil.py: Extract Hamiltonian, E/M dipoles information of secondary structure segments. 4_cal_spectra.py: Python script for calculate the 2DUV spectra. 4_run_calspectra.py: Python script for submitting a large number of PBS script for calculating 2DUV spectra at once. 4_sub_calspectra.pbs: PBS script for runing python script of calculating 2DUV spectra. inputs folder: Spectron main input files. GramacsFile: Gromacs main input files. web-api folder: Source code of our ML protocol online service.
DOI: 10.5281/zenodo.4444750
title: 2DUV Machine Learning Protocol Code

description: Simulation data and code of ML protocol for 2DUV spectra of proteins. Any researchers who interested in protein spectroscopy can use our ML protocol online service: http://www.dcaiku.com:13000 For the machine learning protocol source code written in Python and Bash language which including: 2duv_simulation folder 2DUV folder 0_parse_traj.py: Parse the MD trajectory in pdb format. 1_bench_genH.sh: PBS script for generating the excition Hamiltonian,and E/M dipoles. 1_cal_Hamil.py: Python script for submitting a large number of PBS script at once. 2_extract_struc.py: Extract mode information of secondary structure segments from pdb file. 3_extract_Hamil.py: Extract Hamiltonian, E/M dipoles information of secondary structure segments. 4_cal_spectra.py: Python script for calculate the 2DUV spectra. 4_run_calspectra.py: Python script for submitting a large number of PBS script for calculating 2DUV spectra at once. 4_sub_calspectra.pbs: PBS script for runing python script of calculating 2DUV spectra. inputs folder: Spectron main input files. GramacsFile: Gromacs main input files. web-api folder: Source code of our ML protocol online service.
DOI: 10.6084/m9.figshare.13586228.v1
title: Table S1 from The demography of extinction in eastern North American birds

description: Spreadsheet containing specimen sampling details. Included are specimens numbers and locality information.
DOI: 10.6084/m9.figshare.13586222.v1
title: Table S6 from The demography of extinction in eastern North American birds

description: Neural network probabilities for alternative demographic models for each species using different generation times. The models are as follows: population bottleneck (BN), constant population size (CS), population expansion (EXP), population expansion with a post last glacial maximum (LGM) bottleneck (BN2), and a population bottleneck with a post LGM expansion (EXP2). Included are the cost of the neural net (loss) and the accuracy of the trained network for assigning the simulated data to the models. Presented are the results from the fixed (top) and wide prior (bottom) for the mutation rate using generation times of 1 yr (a), 2 yrs (b), 3 yrs (c), and species-specific generation times from the literature (d).
DOI: 10.6084/m9.figshare.13586231
title: Table S4 from The demography of extinction in eastern North American birds

description: Table containing sampling areas and locus statistics.
DOI: 10.6084/m9.figshare.13586426
title: Psychometric properties of the Persian version of the protective factors of resilience scale (PFRS) in Iranian women

description: The data is presented in the SPSS format
DOI: 10.6084/m9.figshare.13587414.v1
title: Supplementary code file 3 from Clarifying the relationship between body size and extinction risk in amphibians by complete mapping of model space

description: Code for model specifications
DOI: 10.6084/m9.figshare.13587417
title: Supplementary code file 1 from Clarifying the relationship between body size and extinction risk in amphibians by complete mapping of model space

description: Code to prepare spatial data
DOI: 10.6084/m9.figshare.13587420.v1
title: Supplementary code file 5 from Clarifying the relationship between body size and extinction risk in amphibians by complete mapping of model space

description: Code for implementation of analyses
DOI: 10.6084/m9.figshare.13587420
title: Supplementary code file 5 from Clarifying the relationship between body size and extinction risk in amphibians by complete mapping of model space

description: Code for implementation of analyses
DOI: 10.6084/m9.figshare.13587423.v1
title: Supplementary code file 4 from Clarifying the relationship between body size and extinction risk in amphibians by complete mapping of model space

description: Code for GLS functions
DOI: 10.6084/m9.figshare.13587414
title: Supplementary code file 3 from Clarifying the relationship between body size and extinction risk in amphibians by complete mapping of model space

description: Code for model specifications
DOI: 10.6084/m9.figshare.13587426
title: Supplementary code file 2 from Clarifying the relationship between body size and extinction risk in amphibians by complete mapping of model space

description: Code to prepare phylogenetic & biological data
DOI: 10.6084/m9.figshare.13587426.v1
title: Supplementary code file 2 from Clarifying the relationship between body size and extinction risk in amphibians by complete mapping of model space

description: Code to prepare phylogenetic & biological data
DOI: 10.6084/m9.figshare.13587417.v1
title: Supplementary code file 1 from Clarifying the relationship between body size and extinction risk in amphibians by complete mapping of model space

description: Code to prepare spatial data
DOI: 10.6084/m9.figshare.13587423
title: Supplementary code file 4 from Clarifying the relationship between body size and extinction risk in amphibians by complete mapping of model space

description: Code for GLS functions
DOI: 10.5281/zenodo.4445063
title: Diamond Light Source data mm21716

description: Diamond Light Source data mm21716 linked to Quadrupolar X-ray Magnetic Circular Dichroism using Superchiral X-rays
DOI: 10.5281/zenodo.4445062
title: Diamond Light Source data mm21716

description: Diamond Light Source data mm21716 linked to Quadrupolar X-ray Magnetic Circular Dichroism using Superchiral X-rays
DOI: 10.17632/rwg2533tjt.1
title: Data for: On the China factor in the world oil market: A regime switching approach

description: Data used in Cross, Hou and Nguyen (2019) study on the relationship between China and the global oil market. All data is freely available.