cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5522/04/23277284.v1
title: Chatbot as Advisers dataset

description: A dataset from an online studies on a simulated social trading platform using a chatbot to give participants advice on investment. 64 participants interacted with a chatbot across 4 conditions: human-like/not human-like, and with reply suggestion buttons/without reply suggestion buttons embedded in the user interface. They were shown 10 different portfolios to follow or unfollow at 5 separate month intervals, basing their decision on the advice of the chatbot or a separate news feed that would try to predict the next change in portfolio value. Participants were assigned an initial virtual balance of £1000. Image tagging was included as a distracting secondary task. All the messages exchanged to and from the chatbot are included, as well as the user actions and image tagging. Participant demographic data included in a separate file.
DOI: 10.5281/zenodo.7307576
title: Surfalex HF formability study - Workflow 1 - Generate volume element

description: This MatFlow workflow is the first in a set of eight workflows developed during our formability study of the Surfalex HF (AA6016A) material. In this first workflow, we generated a representative volume element (RVE) for the Surfalex HF material. To do this, we sampled 2000 orientations from a CTF file generated from EBSD measurements on the sheet RD-TD plane. The MTEX toolbox was used to sample the texture. The grain morphology was approximated using a Voronoi tessellation that was subsequently stretched by a factor of 1.5 in the RD direction, to mimic the slight grain elongation that was observed. The pre-processing tools in the DAMASK package were used to generated the RVE. This workflow can be downloaded and explored in a Jupyter notebook, as explained in the GitHub repository here.
DOI: 10.5281/zenodo.7307579
title: Surfalex HF formability study - Workflow 2 - Fit single crystal parameters

description: This MatFlow workflow is the second in a set of eight workflows developed during our formability study of the Surfalex HF (AA6016A) material. In this workflow, we calibrated crystal plasticity (CP) parameters using experimental data. The hardening coefficient, the initial and maximum CRSS values, and the hardening exponent, as defined in the CP phenomenological power law adopted by DAMASK were optimised. Starting from trial guesses for these parameters, we optimised the parameters with respect to the experimental stress-strain curve of the Surfalex HF material, using a Levenberg-Marquardt procedure. At each iteration of the process, N+1 CP simulations were performed (for N fitting parameters). Five iterations were used in total. This workflow can be downloaded and explored in a Jupyter notebook, as explained in the GitHub repository here.
DOI: 10.5281/zenodo.7307580
title: Surfalex HF formability study - Workflow 2 - Fit single crystal parameters

description: This MatFlow workflow is the second in a set of eight workflows developed during our formability study of the Surfalex HF (AA6016A) material. In this workflow, we calibrated crystal plasticity (CP) parameters using experimental data. The hardening coefficient, the initial and maximum CRSS values, and the hardening exponent, as defined in the CP phenomenological power law adopted by DAMASK were optimised. Starting from trial guesses for these parameters, we optimised the parameters with respect to the experimental stress-strain curve of the Surfalex HF material, using a Levenberg-Marquardt procedure. At each iteration of the process, N+1 CP simulations were performed (for N fitting parameters). Five iterations were used in total. This workflow can be downloaded and explored in a Jupyter notebook, as explained in the GitHub repository here.
DOI: 10.5281/zenodo.7307587
title: Surfalex HF formability study - Workflow 4 - Estimate hardening curves

description: This MatFlow workflow is the fourth in a set of eight workflows developed during our formability study of the Surfalex HF (AA6016A) material. In this workflow, we estimated the plastic stress-strain curves of the material during different loading conditions, using crystal plasticity simulations (via DAMASK). In turn, this table was used a "plastic table" Abaqus input for the fifth and final workflow. This workflow can be downloaded and explored in a Jupyter notebook, as explained in the GitHub repository here.
DOI: 10.5281/zenodo.7307588
title: Surfalex HF formability study - Workflow 4 - Estimate hardening curves

description: This MatFlow workflow is the fourth in a set of eight workflows developed during our formability study of the Surfalex HF (AA6016A) material. In this workflow, we estimated the plastic stress-strain curves of the material during different loading conditions, using crystal plasticity simulations (via DAMASK). In turn, this table was used a "plastic table" Abaqus input for the fifth and final workflow. This workflow can be downloaded and explored in a Jupyter notebook, as explained in the GitHub repository here.
DOI: 10.5281/zenodo.7307636
title: Surfalex HF formability study - Workflow 6 - Generate random volume element

description: This MatFlow workflow is the sixth in a set of eight workflows developed during our formability study of the Surfalex HF (AA6016A) material. In this workflow, we generate a comparison volume element from a random texture and equiaxed microstructure. This RVE is used in a comparison of the simulated Lankford coefficients between the Surfalex model RVE and this "random" RVE. This workflow can be downloaded and explored in a Jupyter notebook, as explained in the GitHub repository here.
DOI: 10.5281/zenodo.7307637
title: Surfalex HF formability study - Workflow 6 - Generate random volume element

description: This MatFlow workflow is the sixth in a set of eight workflows developed during our formability study of the Surfalex HF (AA6016A) material. In this workflow, we generate a comparison volume element from a random texture and equiaxed microstructure. This RVE is used in a comparison of the simulated Lankford coefficients between the Surfalex model RVE and this "random" RVE. This workflow can be downloaded and explored in a Jupyter notebook, as explained in the GitHub repository here.
DOI: 10.5281/zenodo.7319131
title: Kalman filter-based integration of GNSS and InSAR observations for local non-linear strong deformations

description: The published database is related to the calculations presented in the paper "Kalman filter-based integration of GNSS and InSAR observations for local non-linear strong deformations". The main catalogue contains three folders named as GNSS, Campaign, and DInSAR. In the GNSS folder, the time series of XYZ coordinates and uncertainties estimated in the post-processing scenario for RES1, PI02, PI03, PI04, PI05, and PI16 permanent stations are provided. The GNSS calculations were performed at the Wrocław University of Environmental and Life Sciences in the ITRF2014 reference frame. The Campaign folder contains the results of epoch-based GNSS measurements and was used in the article as a verification data source. The Campaign results, prepared by the Military University of Technology, were used in the quality analyses. In order to co-locate the permanent PI02, PI04, PI05, and PI16 receivers with the nearest campaign points, a cross-reference was performed. The epoch-based time series of XYZ coordinates and uncertainties are provided in the ITRF2014 reference frame. The DInSAR interferograms were prepared at the Wrocław University of Environmental and Life Sciences and the results were stored in two directories named as Ascending and Descending. To perform a point-based unification of DInSAR and GNSS techniques, it was necessary to acquire the data from pixels intersected by the GNSS permanent station's locations. The DInSAR time series contain displacements (DSP), incidence angles (INC_ANG), heading angles (HEAD_ANG), and coherence (COH) data.
DOI: 10.5281/zenodo.7319132
title: Kalman filter-based integration of GNSS and InSAR observations for local non-linear strong deformations

description: The published database is related to the calculations presented in the paper "Kalman filter-based integration of GNSS and InSAR observations for local non-linear strong deformations". The main catalogue contains three folders named as GNSS, Campaign, and DInSAR. In the GNSS folder, the time series of XYZ coordinates and uncertainties estimated in the post-processing scenario for RES1, PI02, PI03, PI04, PI05, and PI16 permanent stations are provided. The GNSS calculations were performed at the Wrocław University of Environmental and Life Sciences in the ITRF2014 reference frame. The Campaign folder contains the results of epoch-based GNSS measurements and was used in the article as a verification data source. The Campaign results, prepared by the Military University of Technology, were used in the quality analyses. In order to co-locate the permanent PI02, PI04, PI05, and PI16 receivers with the nearest campaign points, a cross-reference was performed. The epoch-based time series of XYZ coordinates and uncertainties are provided in the ITRF2014 reference frame. The DInSAR interferograms were prepared at the Wrocław University of Environmental and Life Sciences and the results were stored in two directories named as Ascending and Descending. To perform a point-based unification of DInSAR and GNSS techniques, it was necessary to acquire the data from pixels intersected by the GNSS permanent station's locations. The DInSAR time series contain displacements (DSP), incidence angles (INC_ANG), heading angles (HEAD_ANG), and coherence (COH) data.
DOI: 10.17909/9y8e-2979
title: Coronagraphic Observations of HD 19467 B

description: Observations with the Long Wavelength Bar coronagraph of brown dwarf HD 19467 B.
DOI: 10.17909/efyw-j118
title: Coronagraphic Observations of HD 19467 B

description: Observations with the Long Wavelength Bar coronagraph of brown dwarf HD 19467 B.
DOI: 10.13140/rg.2.2.21244.62087
title: Development of a functional site
DOI: 10.13140/rg.2.2.34666.39360
title: Development of a functional site
DOI: 10.6073/pasta/eda0700dc9a0ec71461ddbb1a4ea8513
title: North Temperate Lakes LTER Meteorological Data - Woodruff Airport 1989 - current

description: Meteorological measurements are being gathered at a site at the Noble F. Lee municipal airport located at Woodruff, WI for three purposes: 1) to supplement the data from the raft on Sparkling and Trout Lakes used for evaporation calculations, and 2) to provide standard meteorological measurements for the North Temperate Lakes site, and 3) to measure radiation for primary production studies in the study lakes at the site. The following parameters are measured at 1-minute intervals: 1) air temperature at 1.5 m above ground, 2) relative humidity at 1.5 m above ground, 3) wind speed and direction and peak wind speed at 3 m above ground, 4) total long-wave radiation, 5) total short-wave radiation, 6) photosynthetically active radiation (PAR), 7) total solar radiation, and 8) total precipitation. High resolution data is taken typically at 10 minute intervals as well as 1-hour and 24-hour averages. Half-hourly averages of PAR and shortwave radiation are also stored. Precipitation data are summed for 5-minute intervals during periods of detectable precipitation. Derived data included in this data set include dew point temperature and vapor pressure as well as daily minimum and maximum values for some parameters. Data are automatically updated into the database every six hours. Sampling frequency: varies for instantaneous samples; averaged to hourly, half-hourly and daily values. Number of sites: 1. Date/time is Central Standard Time (GMT - 06:00) throughout the year.
DOI: 10.25810/s7n-vh24.34
title: African Newspaper Coverage of Climate Change or Global Warming, 2004-2022 - October 2022

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: 10.25810/8pez-h060.34
title: Asian Newspaper Coverage of Climate Change or Global Warming, 2004-2022 - October 2022

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: 10.6084/m9.figshare.21574743
title: Supplementary data: 1_Greenhouse Phoma-20221117T165143Z-001

description: List of differentially regulated proteins
DOI: 10.6084/m9.figshare.21574743.v1
title: Supplementary data: 1_Greenhouse Phoma-20221117T165143Z-001

description: List of differentially regulated proteins
DOI: 10.5517/ccdc.csd.cc23cr2b
title: CCDC 1947701: Experimental Crystal Structure Determination

description: Related Article: Subodh, Kunal Prakash, Dhanraj T. Masram|2020|CSD Communication|||
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: 10.5517/ccdc.csd.cc25wcgx
title: CCDC 2022299: Experimental Crystal Structure Determination

description: Related Article: Dingfeng Luo, Wei Kuang, Xiaomao Zhou, Lamei Wu, Jingjing Xu, Chengjia Zhang, Zhongchi Wu, Zuren Li, Lianyang Bai|2020|CSD Communication|||
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: 10.25810/558f-c477.55
title: Australian Newspaper Coverage of Climate Change or Global Warming, 2000-2022 - October 2022

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: 10.6084/m9.figshare.21574797
title: BCAA manuscript Table S1

description: Composition of the custom made rodent diets. Diets were obtained from Research Diets Inc. New Brunswick, NJ. LF - Low Fat diet, Diet No. D12450J, HF- High Fat diet, Diet No. D12492, LB – low fat diet supplemented with branched chain amino acids, Diet No. D19050804, HB - high fat diet supplemented with branched chain amino acids, Diet No. D19121607.
DOI: 10.6084/m9.figshare.21574797.v1
title: BCAA manuscript Table S1

description: Composition of the custom made rodent diets. Diets were obtained from Research Diets Inc. New Brunswick, NJ. LF - Low Fat diet, Diet No. D12450J, HF- High Fat diet, Diet No. D12492, LB – low fat diet supplemented with branched chain amino acids, Diet No. D19050804, HB - high fat diet supplemented with branched chain amino acids, Diet No. D19121607.
DOI: 10.23686/7wqv-xa92
title: Pre-target neural oscillations predict variability in the detection of small pitch changes

description: Pitch discrimination is important for language or music processing. Previous studies indicate that auditory perception depends on pre-target neural activity. However, so far the pre-target electrophysiological conditions which enable the detection of small pitch changes are not well studied, but might yield important insights into pitch-processing. We used magnetoencephalography (MEG) source imaging to reveal the pre-target effects of successful auditory detection of small pitch deviations from a sequence of standard tones. Participants heard a sequence of four pure tones and had to determine whether the last target tone was different or identical to the first three standard sounds. We found that successful pitch change detection could be predicted from the amplitude of theta (4–8 Hz) oscillatory activity in the right inferior frontal gyrus (IFG) as well as beta (12–30 Hz) oscillatory activity in the right auditory cortex. These findings confirm and extend evidence for the involvement of theta as well as beta-band activity in auditory perception.
description: 19 young healthy participants were measured in the MEG while performing a pitch discrimination task. The details of the measurement can be found in the article.  E. Florin, D. Vuvan, I. Peretz, S. Baillet (2017): Pre-target neural oscillations predict variability in the detection of small pitch changes, PLoS One, 12(5): e0177836. ([Pubmed link](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436812/))

Here the [Brainstorm database](https://neuroimage.usc.edu/brainstorm/) with the pre-processed MEG data is provided.
DOI: 10.5066/p9ox21t6
title: Land cover map including wetlands and invasive Phragmites circa 2017

description: The first basin-wide map of large stands of invasive Phragmites australis (common reed) in the coastal zone was created through a collaboration between the U.S. Geological Survey and Michigan Tech Research Institute (Bourgeau-Chavez et al 2013). This data set represents a revised version of that map and was created using multi-temporal PALSAR data and Landsat images from 2016-2017. In addition to Phragmites distribution, the data sets shows several land cover types including urban, agriculture, forest, shrub, emergent wetland, forested wetland, and some based on the dominant plant species (e.g., Schoenoplectus, Typha). The classified map was validated using over 400 field visits.
DOI: 10.7910/dvn/lw0btb/bnvlfy
title: coronavirus-through-19-Mar-2020-04.txt

description: :unav
DOI: 10.7910/dvn/lw0btb/dtm6nt
title: coronavirus-through-19-Mar-2020-01.txt

description: :unav
DOI: 10.7910/dvn/lw0btb/jwmlcm
title: coronavirus-through-19-Mar-2020-README.txt

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DOI: 10.7910/dvn/lw0btb/tatsp2
title: coronavirus-through-19-Mar-2020-05.txt

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DOI: 10.7910/dvn/lw0btb/73mzmw
title: coronavirus-through-19-Mar-2020-02.txt

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DOI: 10.7910/dvn/lw0btb/adlvye
title: coronavirus-through-31-Mar-2020-08.txt

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DOI: 10.7910/dvn/lw0btb/j43xx2
title: coronavirus-through-31-Mar-2020-10.txt

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DOI: 10.7910/dvn/lw0btb/jdgdrj
title: coronavirus-through-19-Mar-2020-00.txt

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DOI: 10.7910/dvn/lw0btb/r7n5x7
title: coronavirus-through-19-Mar-2020-03.txt

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DOI: 10.7910/dvn/lw0btb/gmpzmn
title: coronavirus-through-31-Mar-2020-02.txt

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DOI: 10.7910/dvn/lw0btb/l7n25e
title: coronavirus-through-31-Mar-2020-01.txt

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DOI: 10.7910/dvn/lw0btb/m7tpyj
title: coronavirus-through-31-Mar-2020-06.txt

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DOI: 10.7910/dvn/lw0btb/rpqrqy
title: coronavirus-through-31-Mar-2020-00.txt

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DOI: 10.7910/dvn/lw0btb/ymzbnc
title: coronavirus-through-31-Mar-2020-README.txt

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DOI: 10.7910/dvn/lw0btb/05fze9
title: coronavirus-through-31-Mar-2020-05.txt

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DOI: 10.7910/dvn/lw0btb/7udptd
title: coronavirus-through-31-Mar-2020-03.txt

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DOI: 10.7910/dvn/lw0btb/ayxmla
title: coronavirus-through-31-Mar-2020-04.txt

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DOI: 10.7910/dvn/lw0btb/e5zbr5
title: coronavirus-through-31-Mar-2020-09.txt

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DOI: 10.7910/dvn/lw0btb/vzzj6f
title: coronavirus-through-31-Mar-2020-07.txt

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DOI: 10.7910/dvn/lw0btb/4eokrd
title: coronavirus-through-16-Apr-2020-09.txt

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DOI: 10.7910/dvn/lw0btb/bioasg
title: coronavirus-through-16-Apr-2020-03.txt

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DOI: 10.7910/dvn/lw0btb/kpf67l
title: coronavirus-through-16-Apr-2020-01.txt

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DOI: 10.7910/dvn/lw0btb/spfx72
title: coronavirus-through-16-Apr-2020-08.txt

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DOI: 10.7910/dvn/lw0btb/xy7iwa
title: coronavirus-through-16-Apr-2020-15.txt

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DOI: 10.7910/dvn/lw0btb/yc2bil
title: coronavirus-through-16-Apr-2020-04.txt

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DOI: 10.7910/dvn/lw0btb/c61pfc
title: coronavirus-through-16-Apr-2020-06.txt

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DOI: 10.7910/dvn/lw0btb/do4tyt
title: coronavirus-through-16-Apr-2020-07.txt

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DOI: 10.7910/dvn/lw0btb/mv6wtg
title: coronavirus-through-16-Apr-2020-13.txt

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DOI: 10.7910/dvn/lw0btb/pvuu27
title: coronavirus-through-16-Apr-2020-00.txt

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DOI: 10.7910/dvn/lw0btb/tavmjs
title: coronavirus-through-16-Apr-2020-12.txt

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DOI: 10.7910/dvn/lw0btb/1t0nqo
title: coronavirus-through-16-Apr-2020-10.txt

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DOI: 10.7910/dvn/lw0btb/khjdju
title: coronavirus-through-16-Apr-2020-11.txt

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DOI: 10.7910/dvn/lw0btb/orumx2
title: coronavirus-through-16-Apr-2020-14.txt

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DOI: 10.7910/dvn/lw0btb/z2qkab
title: coronavirus-through-16-Apr-2020-README.txt

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DOI: 10.7910/dvn/lw0btb/1xogrr
title: coronavirus-through-1-May-2020-06.txt

description: :unav
DOI: 10.7910/dvn/lw0btb/2coa9j
title: coronavirus-through-16-Apr-2020-05.txt

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DOI: 10.7910/dvn/lw0btb/4gy1b8
title: coronavirus-through-1-May-2020-04.txt

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DOI: 10.7910/dvn/lw0btb/d85dnl
title: coronavirus-through-1-May-2020-18.txt

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DOI: 10.7910/dvn/lw0btb/h8mirw
title: coronavirus-through-1-May-2020-02.txt

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DOI: 10.7910/dvn/lw0btb/n86cl8
title: coronavirus-through-16-Apr-2020-02.txt

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DOI: 10.7910/dvn/lw0btb/3gsdka
title: coronavirus-through-1-May-2020-08.txt

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DOI: 10.7910/dvn/lw0btb/4y1e2b
title: coronavirus-through-1-May-2020-11.txt

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DOI: 10.7910/dvn/lw0btb/gotxzd
title: coronavirus-through-1-May-2020-05.txt

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DOI: 10.7910/dvn/lw0btb/qnxf1b
title: coronavirus-through-1-May-2020-14.txt

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DOI: 10.7910/dvn/lw0btb/rieojs
title: coronavirus-through-1-May-2020-03.txt

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DOI: 10.7910/dvn/lw0btb/2xykqd
title: coronavirus-through-1-May-2020-07.txt

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DOI: 10.7910/dvn/lw0btb/5ccpq8
title: coronavirus-through-1-May-2020-README.txt

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DOI: 10.7910/dvn/lw0btb/jx6p34
title: coronavirus-through-1-May-2020-10.txt

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DOI: 10.7910/dvn/lw0btb/wt2myu
title: coronavirus-through-1-May-2020-09.txt

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DOI: 10.7910/dvn/lw0btb/ycsmyg
title: coronavirus-through-1-May-2020-13.txt

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DOI: 10.7910/dvn/lw0btb/jqsmdv
title: coronavirus-through-1-May-2020-16.txt

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DOI: 10.7910/dvn/lw0btb/puptok
title: coronavirus-through-1-May-2020-01.txt

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DOI: 10.7910/dvn/lw0btb/tsnnpn
title: coronavirus-through-1-May-2020-17.txt

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DOI: 10.7910/dvn/lw0btb/xi07nw
title: coronavirus-through-1-May-2020-12.txt

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DOI: 10.7910/dvn/lw0btb/0hfop1
title: coronavirus-through-27-May-2020-13.txt

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DOI: 10.7910/dvn/lw0btb/beq9wo
title: coronavirus-through-27-May-2020-00.txt

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DOI: 10.7910/dvn/lw0btb/j7nrdo
title: coronavirus-through-1-May-2020-15.txt

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DOI: 10.7910/dvn/lw0btb/xrxced
title: coronavirus-through-27-May-2020-07.txt

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DOI: 10.7910/dvn/lw0btb/yutmh4
title: coronavirus-through-1-May-2020-00.txt

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DOI: 10.7910/dvn/lw0btb/b2ydf1
title: coronavirus-through-27-May-2020-05.txt

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DOI: 10.7910/dvn/lw0btb/k7h2xo
title: coronavirus-through-27-May-2020-16.txt

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DOI: 10.7910/dvn/lw0btb/pfrhck
title: coronavirus-through-27-May-2020-19.txt

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DOI: 10.7910/dvn/lw0btb/rvlkg3
title: coronavirus-through-27-May-2020-20.txt

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