cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15129/3c4b895a-a663-4c55-9dc4-37bcd2078aa8
title: Data for: "Psychoactive Substances and How to Find Them: Electrochemiluminescence as a Strategy for Identification and Differentiation of Drug Species"

description: Dataset includes the CV and ECL responses of methamphetamine and MDMA at a) unmodified carbon electrodes, b) at [Ru(bpy)3]2+ modified electrodes, c) at [Os(dairs)2(bhp)]2+ modified electrodes and d) at[ Ir(bt)2(pt-teg)]+ modified electrodes (Figure 2). ECL responses of atropine and scopolamine at at[ Ir(bt)2(pt-teg)]+ modified electrodes (Figure 3) and ECL responses of atropine and scopolamine at [Os(dairs)2(bhp)]2+ modified electrodes (Figure 4).
DOI: 10.5286/isis.e.rb2010634
title: Pressure-induced insertion of water and polar solvents into graphene oxide

description: Graphene oxide (GO) is a heavily functionalised form of grapheme that is dispersible in water and other solvents. As water is added to pristine graphene oxide there is formation interlayer water which gradually expands to form a gel-like phase. The insertion of water and other solvents into graphene oxide is also show to vary as a function of pressure. Colossal expansion of the cell volume has been reported with an up to 40% increase in cell volume as water is added. In this proposal we aim to look and the change in the interlayer spacing as water and the aprotic polar solvent DMF are added into GO in order to, firs, observe the pressure-induced expansion as the solvent is intercalated and secondly to understand the structure of the solvent layer. This will be achieved by in situ measurement made on GO with D2O and deuterated DMF using the PEARL instrument.
DOI: 10.5286/isis.e.rb2010634-1
title: Pressure-induced insertion of water and polar solvents into graphene oxide

description: Graphene oxide (GO) is a heavily functionalised form of grapheme that is dispersible in water and other solvents. As water is added to pristine graphene oxide there is formation interlayer water which gradually expands to form a gel-like phase. The insertion of water and other solvents into graphene oxide is also show to vary as a function of pressure. Colossal expansion of the cell volume has been reported with an up to 40% increase in cell volume as water is added. In this proposal we aim to look and the change in the interlayer spacing as water and the aprotic polar solvent DMF are added into GO in order to, firs, observe the pressure-induced expansion as the solvent is intercalated and secondly to understand the structure of the solvent layer. This will be achieved by in situ measurement made on GO with D2O and deuterated DMF using the PEARL instrument.
DOI: 10.5281/zenodo.3648167
title: Monte-Carlo simulation of dike stability based on a coupled steady-state hydro-stability model

description: With a large network of dikes that in the future will protect up to 15% of the worlds population from flooding, more extreme river discharges that result from climate change will dramatically increase the flood risk of these protected societies. Precise calculations of dike stability under adverse loading conditions will become increasingly important, though the hydrological impacts on dike stability, particularly the effects of groundwater flow, are often oversimplified in stability calculations. In order to better take account of groundwater flow processes, we use a coupled hydro-stability model to indicate relations between the geometry, subsurface materials, groundwater hydrology and stability of a dike. To calculate the stability, the most adverse drained loading conditions are applied to soil slip and basal sliding mechanisms. A database created by an extensive Monte Carlo analysis provides evidence for relations between geometry, material characteristics, hydrology and stability for three different failure processes. The database contains the parameter combinations that resulted in a stability factor (F) closest to the critical conditon, e.g. closest to F=1. The database can be used to estimate failure probabilities for dike stretches that have not been assessed in detail, while including the uncertainties caused by a lack of in-situ data.
DOI: 10.7795/720.20200610
title: Round robin comparison on quantitative nanometer scale magnetic field measurements by magnetic force microscopy

description: As a standard tool for nano-scale investigation of magnetic domain structures, magnetic force microscopy (MFM) measures the local stray magnetic field landscape of the measured sample, however, generally providing only qualitative data. To quantify the stray magnetic fields, the MFM system could be calibrated by a so-called transfer function (TF) approach which fully considers the finite extent of the MFM tip. However, albeit being comprehensive, the TF approach is not yet well established, mainly due to the ambiguities concerning the input parameters and the measurement procedure. Additionally, the calibration process represents an ill-posed problem which requires a regularization that introduces further parameters. In this paper we propose a guideline for quantitative stray field measurements by standard MFM tools in ambient conditions. All steps of the measurement and calibration procedure are detailed, including reference sample and sample under test (SUT) measurements and the data analysis. The suitability of the reference sample used in the present work for calibrated measurements on a sub-micron scale is discussed. A specific regularization approach based on a Pseudo-Wiener Filter is applied and combined with criteria for the numerical determination of a unique regularization parameter. To demonstrate the robustness of such a defined approach, a round robin comparison of calibrated MFM measurements between four labs, CMI, PTB, IFW, and NPL has been presented. The results of three participating labs were compared, showing a good consistency of measured stray field values, independent on the tips, equipment and operator. This proves the robustness of the described TF approach when the detailed measurement procedure as described above is followed. The remaining issues have been discussed for further improving the measurement and data analysis protocol. The results support the establishment of a standardized method for quantitative nanometer scale stray field measurement by standard magnetic force microscopy in ambient conditions. Description of the individual files: -The folder names ('Fig') repreasent the data used in the corresponding figures in the paper doi.org/10.1016/j.jmmm.2020.166947. Each folder includes the MFM data (named with 'Phase') and calibrated stray field data (named with 'Hz') from 4 particpated laboratories, and two theoretically calculated data (named with 'cal'). The detailed infomation can be found in the published paper. -The folder named as 'Reference sample S0 MFM data' includes the MFM Phase data measured on the reference sample S0 from 4 participating labs. -Each '.dat' file includes three columns, representing the position coordinates x, y (in µm) as well as one between phase (in degrees), vertical magnetic field (in A/m) or vertical magnetization (in A/m), respectively.
DOI: 10.6084/m9.figshare.13236068
title: Raw data

description: Each recording is composed of 3 files: .eeg, .vhdr and .vmrk. The file name includes the participant number and the session type<br>
DOI: 10.6084/m9.figshare.13236068.v1
title: Raw data

description: Each recording is composed of 3 files: .eeg, .vhdr and .vmrk. The file name includes the participant number and the session type<br>
DOI: 10.5281/zenodo.4275393
title: Trialstreamer data

description: Trialstreamer annotated collection of RCTs. This respository contains baseline files (large), and subsequent updates (daily for PubMed, weekly for ICTRP).
DOI: 10.15161/oar.it/73261
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: 10.5517/ccdc.csd.cc255cvl
title: CCDC 2001169: Experimental Crystal Structure Determination

description: Related Article: David Pierrot, Ilan Marek|2020|Angew.Chem.,Int.Ed.|59|20434|doi:10.1002/anie.202010135
DOI: 10.5517/ccdc.csd.cc255cwm
title: CCDC 2001170: Experimental Crystal Structure Determination

description: Related Article: David Pierrot, Ilan Marek|2020|Angew.Chem.,Int.Ed.|59|20434|doi:10.1002/anie.202010135
DOI: 10.5517/ccdc.csd.cc255cxn
title: CCDC 2001171: Experimental Crystal Structure Determination

description: Related Article: David Pierrot, Ilan Marek|2020|Angew.Chem.,Int.Ed.|59|20434|doi:10.1002/anie.202010135
DOI: 10.5517/ccdc.csd.cc25hfch
title: CCDC 2010826: Experimental Crystal Structure Determination

description: Related Article: Tomoya Miura, Takayuki Nakamuro, Yumi Ishihara, Yuuya Nagata, Masahiro Murakami|2020|Angew.Chem.,Int.Ed.|59|20475|doi:10.1002/anie.202009781
DOI: 10.5517/ccdc.csd.cc25m8cg
title: CCDC 2014515: Experimental Crystal Structure Determination

description: Related Article: Kong-Qiu Hu, Peng-Xiang Qiu, Li-Wen Zeng, Shu-Xian Hu, Lei Mei, Shu-Wen An, Zhi-Wei Huang, Xiang-He Kong, Jian-Hui Lan, Ji-Pan Yu, Zhi-Hui Zhang, Zhong-Fei Xu, John K Gibson, Zhi-Fang Chai, Yun-Fei Bu, Wei-Qun Shi|2020|Angew.Chem.,Int.Ed.|59|20666|doi:10.1002/anie.202009630
DOI: 10.5517/ccdc.csd.cc25m8dh
title: CCDC 2014516: Experimental Crystal Structure Determination

description: Related Article: Kong-Qiu Hu, Peng-Xiang Qiu, Li-Wen Zeng, Shu-Xian Hu, Lei Mei, Shu-Wen An, Zhi-Wei Huang, Xiang-He Kong, Jian-Hui Lan, Ji-Pan Yu, Zhi-Hui Zhang, Zhong-Fei Xu, John K Gibson, Zhi-Fang Chai, Yun-Fei Bu, Wei-Qun Shi|2020|Angew.Chem.,Int.Ed.|59|20666|doi:10.1002/anie.202009630
DOI: 10.5517/ccdc.csd.cc25mymd
title: CCDC 2015174: Experimental Crystal Structure Determination

description: Related Article: Felix S. Geitner, Thomas F. Fässler|2020|Inorg.Chem.|59|15218|doi:10.1021/acs.inorgchem.0c02190
DOI: 10.5517/ccdc.csd.cc25mynf
title: CCDC 2015175: Experimental Crystal Structure Determination

description: Related Article: Felix S. Geitner, Thomas F. Fässler|2020|Inorg.Chem.|59|15218|doi:10.1021/acs.inorgchem.0c02190
DOI: 10.5517/ccdc.csd.cc25mypg
title: CCDC 2015176: Experimental Crystal Structure Determination

description: Related Article: Felix S. Geitner, Thomas F. Fässler|2020|Inorg.Chem.|59|15218|doi:10.1021/acs.inorgchem.0c02190
DOI: 10.5517/ccdc.csd.cc25myqh
title: CCDC 2015177: Experimental Crystal Structure Determination

description: Related Article: Felix S. Geitner, Thomas F. Fässler|2020|Inorg.Chem.|59|15218|doi:10.1021/acs.inorgchem.0c02190
DOI: 10.5517/ccdc.csd.cc25pgcq
title: CCDC 2016623: Experimental Crystal Structure Determination

description: Related Article: Perry M. Scheetz, Sarah T. Chachula, Russell P. Hughes, David S. Glueck, Curtis E. Moore, Milan Gembicky, Arnold L. Rheingold|2020|Organometallics|39|3802|doi:10.1021/acs.organomet.0c00516
DOI: 10.5517/ccdc.csd.cc25q5kn
title: CCDC 2017311: Experimental Crystal Structure Determination

description: Related Article: Álvaro Martínez-Camarena, Matteo Savastano, José M. Llinares, Begoña Verdejo, Antonio Bianchi, Enrique García-España, Carla Bazzicalupi|2020|Inorg.Chem.Front.|7|4239|doi:10.1039/D0QI00912A
DOI: 10.5517/ccdc.csd.cc25w68k
title: CCDC 2022138: Experimental Crystal Structure Determination

description: Related Article: Krzysztof Lyczko, Monika Lyczko, Marek Pruszyński|2020|Polyhedron|192|114822|doi:10.1016/j.poly.2020.114822
DOI: 10.5517/ccdc.csd.cc25w69l
title: CCDC 2022139: Experimental Crystal Structure Determination

description: Related Article: Krzysztof Lyczko, Monika Lyczko, Marek Pruszyński|2020|Polyhedron|192|114822|doi:10.1016/j.poly.2020.114822
DOI: 10.5517/ccdc.csd.cc25w6bm
title: CCDC 2022140: Experimental Crystal Structure Determination

description: Related Article: Krzysztof Lyczko, Monika Lyczko, Marek Pruszyński|2020|Polyhedron|192|114822|doi:10.1016/j.poly.2020.114822
DOI: 10.5517/ccdc.csd.cc25w6cn
title: CCDC 2022141: Experimental Crystal Structure Determination

description: Related Article: Krzysztof Lyczko, Monika Lyczko, Marek Pruszyński|2020|Polyhedron|192|114822|doi:10.1016/j.poly.2020.114822
DOI: 10.5517/ccdc.csd.cc25w8v6
title: CCDC 2022218: Experimental Crystal Structure Determination

description: Related Article: Lamya H. Al-Wahaibi, Kushumita Chakraborty, Nora H. Al-Shaalan, Mohamed Yehya Annavi Syed Majeed, Olivier Blacque, Aamal A. Al-Mutairi, Ali A. El-Emam, M. Judith Percino, Subbiah Thamotharan|2020|RSC Advances|10|36806|doi:10.1039/D0RA07215J
DOI: 10.5517/ccdc.csd.cc25w8w7
title: CCDC 2022219: Experimental Crystal Structure Determination

description: Related Article: Lamya H. Al-Wahaibi, Kushumita Chakraborty, Nora H. Al-Shaalan, Mohamed Yehya Annavi Syed Majeed, Olivier Blacque, Aamal A. Al-Mutairi, Ali A. El-Emam, M. Judith Percino, Subbiah Thamotharan|2020|RSC Advances|10|36806|doi:10.1039/D0RA07215J
DOI: 10.5281/zenodo.3560100
title: European Union Summary Reports on surveillance for the presence of TSE: historical reported cases

description: The tables contain all historical cases reported until 2016 for classical and atypical BSE, classical and atypical scrapie in sheep and goats. A new version has been added with numbered order of uploaded files.
description: EU; xls; biocontam@efsa.europa.eu
DOI: 10.5281/zenodo.1436520
title: European Union Summary Reports on surveillance for the presence of TSE: historical reported cases

description: The tables contain all historical cases reported until 2016 for classical and atypical BSE, classical and atypical scrapie in sheep and goats. A new version has been added with numbered order of uploaded files.
description: EU; xls; biocontam@efsa.europa.eu
DOI: 10.2907/eusilc2004-2019v.1
title: EU Statistics on Income and Living Conditions microdata 2004-2019, release 2 in 2020
DOI: 10.5281/zenodo.4275423
title: Table S1. Extended Mass Spectrometry data table

description: Table S1. Extended Mass Spectrometry data table
DOI: 10.5281/zenodo.4275422
title: Table S1. Extended Mass Spectrometry data table

description: Table S1. Extended Mass Spectrometry data table
DOI: 10.6084/m9.figshare.13055996
title: HatAsyData_2020.xlsx

description: Data used in the analyses in "Interplays between pre- and post-natal environments affect early-life mortality, body mass and telomere dynamics in the wild"
DOI: 10.6084/m9.figshare.13055996.v1
title: HatAsyData_2020.xlsx

description: Data used in the analyses in "Interplays between pre- and post-natal environments affect early-life mortality, body mass and telomere dynamics in the wild"
DOI: 10.5519/qd.1w1gntkf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.5281/zenodo.4275401
title: Monte-Carlo simulation of dike stability based on a coupled hydro-stability model

description: With a large network of dikes that in the future will protect up to 15% of the worlds population from flooding, more extreme river discharges that result from climate change will dramatically increase the flood risk of these protected societies. Precise calculations of dike stability under adverse loading conditions will become increasingly important, though the hydrological impacts on dike stability, particularly the effects of groundwater flow, are often oversimplified in stability calculations. In order to better take account of groundwater flow processes, we use a coupled hydro-stability model to indicate relations between the geometry, subsurface materials, groundwater hydrology and stability of a dike. To calculate the stability, the most adverse drained loading conditions are applied to soil slip and basal sliding mechanisms. A database created by an extensive Monte Carlo analysis provides evidence for relations between geometry, material characteristics, hydrology and stability for three different failure processes. The database contains parameter combinations and the corresponding safety factor F. The database can be used to estimate failure probabilities for dike stretches that have not been assessed in detail, while including the uncertainties caused by a lack of in-situ data.
DOI: 10.5281/zenodo.3630153
title: Monte-Carlo simulation of dike stability based on a coupled hydro-stability model

description: With a large network of dikes that in the future will protect up to 15% of the worlds population from flooding, more extreme river discharges that result from climate change will dramatically increase the flood risk of these protected societies. Precise calculations of dike stability under adverse loading conditions will become increasingly important, though the hydrological impacts on dike stability, particularly the effects of groundwater flow, are often oversimplified in stability calculations. In order to better take account of groundwater flow processes, we use a coupled hydro-stability model to indicate relations between the geometry, subsurface materials, groundwater hydrology and stability of a dike. To calculate the stability, the most adverse drained loading conditions are applied to soil slip and basal sliding mechanisms. A database created by an extensive Monte Carlo analysis provides evidence for relations between geometry, material characteristics, hydrology and stability for three different failure processes. The database contains parameter combinations and the corresponding safety factor F. The database can be used to estimate failure probabilities for dike stretches that have not been assessed in detail, while including the uncertainties caused by a lack of in-situ data.
DOI: 10.17028/rd.lboro.13228907
title: Supplementary information files for Aminomaleimide fluorophores: a simple functional group with bright, solvent dependent emission

description: Supplementary files for Aminomaleimide fluorophores: a simple functional group with bright, solvent dependent emission. Amino-substituted maleimides form a new class of highly emissive compounds, with large Stokes shifts (&gt;100 nm) and high quantum yields (up to ∼60%). Emission is responsive to the maleimide's environment with both a red-shift, and quenching, observed in protic polar solvents. Aminomaleimides are easily functionalised, providing a versatile fluorescent probe.<br>
DOI: 10.17028/rd.lboro.13228907.v1
title: Supplementary information files for Aminomaleimide fluorophores: a simple functional group with bright, solvent dependent emission

description: Supplementary files for Aminomaleimide fluorophores: a simple functional group with bright, solvent dependent emission. Amino-substituted maleimides form a new class of highly emissive compounds, with large Stokes shifts (&gt;100 nm) and high quantum yields (up to ∼60%). Emission is responsive to the maleimide's environment with both a red-shift, and quenching, observed in protic polar solvents. Aminomaleimides are easily functionalised, providing a versatile fluorescent probe.<br>
DOI: 10.6084/m9.figshare.13241135
title: Source Data Melendez Prism.pzfx

description: Source data Melendez Prism is a prism file containing the statistical analyses associated with the data presented in the the manuscript by J. Melendez et al. (last author Christophe Marcelle), Nature Comm. in press. Within this file, "Data1" shows the raw data; "Descriptive statistics" describes the basic features of the data, e.g. mean, standard deviation, etc.; Mann-Whtney tests represent all the nonparametric tests that were computed in this study, with the P value indicated for each of the tests. A free trial version of Prism can be downloaded at the Graphpad website (https://www.graphpad.com/demos/).
DOI: 10.6084/m9.figshare.13240970
title: Source Data Melendez Excel.xlsx

description: Source data Melendez excel.xlsx is the source data file associated with the manuscript by J. Melendez et al. (last author Christophe Marcelle), Nature Comm. in press. This excel file shows all raw data associated with the paper. Data from individual figures are shown on different sheets. In each sheet, different colours indicate individual experiments. For Figure 2, numbers correspond to a ratio of myocytes (primitive muscle fibers) generated from electroporated DML progenitors. For Figure 3-6, numbers correspond to the number of nuclei in myocytes in each conditions. <br>
DOI: 10.25405/data.ncl.13194686
title: Quasar Feedback Survey - APEX CO Results Tables (M.E. Jarvis et al. 2020)

description: These are machine readable versions of Tables 1, 3 and B1 from M.E. Jarvis et al. 2020, MNRAS, 498, 1560. "High molecular gas content and star formation rates in local galaxies that host quasars, outflows, and jets"<br>This journal article is also available on the pre-print arXiv: https://arxiv.org/abs/2007.10351.<br>Table 1 contains the main properties of the 9 quasar host galaxies observed in the study, including redshifts, star formation rates and stellar masses.<br>Table 3 contains the results of the APEX observations, which includes CO(2-1) emission-line properties for all 9 targets and CO(6-5) emission-line properties for a subset of 3 of the targets. <br>Table B1 contains the derived molecular gas masses for all 9 targets using two different methods. <br>All tables are in fits format and information about the units and column descriptions are included in the header. <br><br><br>
DOI: 10.5281/zenodo.4274454
title: I-BiDaaS - TID - Synthetic Call Centre Data

description: This is a simulated dataset based on both real phone interactions and conversations usually performed by real call centres. It is comprised of several simulated customer interactions with an agent representative, both roles performed by actors. Phone call recordings are performed using different mobile and landline devices. The scripting, both from customer and agent, aims to develop typical scenarios by telco-oriented call centre operations. Both raw waveform recordings and speech transcription are provided. The latter as obtained by an automatic speech recognition (ASR) prototype developed by TID. The word segmentation timestamps are also provided for those recognized. Additionally, a confidence score is also provided per token basis.
DOI: 10.5281/zenodo.4274453
title: I-BiDaaS - TID - Synthetic Call Centre Data

description: This is a simulated dataset based on both real phone interactions and conversations usually performed by real call centres. It is comprised of several simulated customer interactions with an agent representative, both roles performed by actors. Phone call recordings are performed using different mobile and landline devices. The scripting, both from customer and agent, aims to develop typical scenarios by telco-oriented call centre operations. Both raw waveform recordings and speech transcription are provided. The latter as obtained by an automatic speech recognition (ASR) prototype developed by TID. The word segmentation timestamps are also provided for those recognized. Additionally, a confidence score is also provided per token basis.