cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21456002.v1
title: Additional file 1 of The effect of a locally tailored intervention on the uptake of preconception care in the Netherlands: a stepped-wedge cluster randomized trial (APROPOS-II study)

description: Additional file 1: Supplemental File 1. Questionnaire for women. Supplemental File 2. Questionnaire for men. Supplemental File 3. Questionnaire for healthcare providers.
DOI: 10.6084/m9.figshare.21456058
title: Additional file 1 of Pilot study on CHCF1 genotype in a pig challenge model for enterotoxigenic Escherichia coli F4ab/ac associated post-weaning diarrhea

description: Additional file 1: Additional file 1. Feed formulation.
DOI: 10.6084/m9.figshare.21456058.v1
title: Additional file 1 of Pilot study on CHCF1 genotype in a pig challenge model for enterotoxigenic Escherichia coli F4ab/ac associated post-weaning diarrhea

description: Additional file 1: Additional file 1. Feed formulation.
DOI: 10.6084/m9.figshare.21456076
title: Additional file 7 of Pilot study on CHCF1 genotype in a pig challenge model for enterotoxigenic Escherichia coli F4ab/ac associated post-weaning diarrhea

description: Additional file 7: Additional file 7. Datasets analyzed during the current study.
DOI: 10.6084/m9.figshare.21456076.v1
title: Additional file 7 of Pilot study on CHCF1 genotype in a pig challenge model for enterotoxigenic Escherichia coli F4ab/ac associated post-weaning diarrhea

description: Additional file 7: Additional file 7. Datasets analyzed during the current study.
DOI: 10.5281/zenodo.7273147
title: Individuals with developmental disabilities do make individual stylistic contributions to text written with physical facilitation

description: Corpora of texts written via Facilitated Communication (FC) among two Italian centres. The texts collected resulted from a &gt;10 years period: 16 FC users and 8 eight facilitators were involved. For each centre, 4 and 5 folders were created respectively. Those labelled as Corpus 1 and Corpus 2 refer to the original corpus. The first code (U+ number) refers to the FC user. The code that follows the underscore refers to the facilitator (F+number). The folders labelled with the underscore _A,_B and _C, contain texts written by different users with a single facilitator, split in three different ways in order to acknowledge possible diachronic stylistic changes. These corpora were analysed through Stylo package for R.
DOI: 10.6084/m9.figshare.21456100
title: Additional file 1 of DD-KARB: data-driven compliance to quality by rule based benchmarking

description: Additional file 1: DD-KARB Case-Study Java Code.
DOI: 10.6084/m9.figshare.21456100.v1
title: Additional file 1 of DD-KARB: data-driven compliance to quality by rule based benchmarking

description: Additional file 1: DD-KARB Case-Study Java Code.
DOI: 10.5281/zenodo.7273146
title: Individuals with developmental disabilities do make individual stylistic contributions to text written with physical facilitation

description: Corpora of texts written via Facilitated Communication (FC) among two Italian centres. The texts collected resulted from a &gt;10 years period: 16 FC users and 8 eight facilitators were involved. For each centre, 4 and 5 folders were created respectively. Those labelled as Corpus 1 and Corpus 2 refer to the original corpus. The first code (U+ number) refers to the FC user. The code that follows the underscore refers to the facilitator (F+number). The folders labelled with the underscore _A,_B and _C, contain texts written by different users with a single facilitator, split in three different ways in order to acknowledge possible diachronic stylistic changes. These corpora were analysed through Stylo package for R.
DOI: 10.6084/m9.figshare.21456134
title: Additional file 2 of Differentially hypomethylated cell-free DNA and coronary collateral circulation

description: Additional file 2: Table S1: Sheet 1—Summary of markduplicate results. Sheet 2—Summary of sample depth
DOI: 10.6084/m9.figshare.21456134.v1
title: Additional file 2 of Differentially hypomethylated cell-free DNA and coronary collateral circulation

description: Additional file 2: Table S1: Sheet 1—Summary of markduplicate results. Sheet 2—Summary of sample depth
DOI: 10.6084/m9.figshare.21456164
title: Additional file 1 of Investigation of the causal relationship between ALS and autoimmune disorders: a Mendelian randomization study

description: Additional file 1: Figure S1. Funnel plots and LOO plots which detect outlier SNPs in RA and CD. Figure S2. Scatter plots showing the effect of liability to ALS on risk of autoimmune disorders. Table S1. Sensitivity analysis, heterogeneity, and pleiotropy, investigating MR assumption violation. Table S2. Sensitivity analysis, heterogeneity, and pleiotropy, investigating MR reverse assumption violation. Code used in this study includes all the code used to produce all the results in this paper.
DOI: 10.6084/m9.figshare.21456164.v1
title: Additional file 1 of Investigation of the causal relationship between ALS and autoimmune disorders: a Mendelian randomization study

description: Additional file 1: Figure S1. Funnel plots and LOO plots which detect outlier SNPs in RA and CD. Figure S2. Scatter plots showing the effect of liability to ALS on risk of autoimmune disorders. Table S1. Sensitivity analysis, heterogeneity, and pleiotropy, investigating MR assumption violation. Table S2. Sensitivity analysis, heterogeneity, and pleiotropy, investigating MR reverse assumption violation. Code used in this study includes all the code used to produce all the results in this paper.
DOI: 10.6084/m9.figshare.21456170
title: Additional file 1 of A correlation map of genome-wide DNA methylation patterns between paired human brain and buccal samples

description: Additional file 1. Supplementary Tables.
DOI: 10.6084/m9.figshare.21456170.v1
title: Additional file 1 of A correlation map of genome-wide DNA methylation patterns between paired human brain and buccal samples

description: Additional file 1. Supplementary Tables.
DOI: 10.5519/qd.1dgh9lqh
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (547 records)
DOI: 10.15151/esrf-es-970658508
title: Nanoimaging of various biological samples

description: This is in-house with multiple biological samples that are part of other experimental sessions at ID16A.
DOI: 10.6084/m9.figshare.21456240
title: Table 1. Description of research participants

description: Description of research participants
DOI: 10.6084/m9.figshare.21456240.v1
title: Table 1. Description of research participants

description: Description of research participants
DOI: 10.5281/zenodo.6473158
title: COVID-CO2-ferries

description: The COVID_CO2_ferries dataset stems from variables of the THETIS-MRV and IHS Markit datasets. They are described in the manuscript referenced below in "Additional Resources". Meaning of the variables in the COVID_CO2_ferries dataset: number name meaning units 1 IMOn IMO number (Vessel unique identifier) - 2 Eber Per-ship CO2 emissions at berth ton 3 Etot Per-ship total CO2 emissions ton 4 Dom Sea Basin (NOR, BAL, MED) - 5 COVID dummy variable (true in 2020) - 6 year year of CO2 emissions - 7 Pme Total power of main engines 0/1 8 LOA Length over all 0/1 9 nPax Passenger carrying capacity 0/1 10 yearB year of building 0/1 11 nCalls Per-ship number of port calls - 12 VType Vessel type (see defining Eq. below) - The variables with binary values (0/1 in the "units" column) refer to below (0) or above (1) the thresholds defined by: \(k\) \(\varphi_k\) \(\varphi_{k0}\) units 0 Pme 21,600 kW 1 nPax 1,250 - 2 LOA 174 m 3 yearB 1999 - The VType variable is defined by: \(\texttt{VType} = \sum_{k=0}^{3} \, 2^{k} \cdot H(\varphi_{k} - \varphi_{k0}) \) <strong>Additional Resources</strong> The "<em>How COVID-19 affected GHG emissions of ferries in Europe</em>" manuscript by Mannarini et al. (2022) using this dataset is published on Sustainability 2022, 14(9), 5287; https://doi.org/10.3390/su14095287. You may want to cite it. A jupyter notebook using this dataset is available at https://github.com/hybrs/COVID-CO2-ferries
description: (c) Fondazione CMCC, 2022 This work was supported by the European Regional Development Fund through the Italy-Croatia Interreg programme, project GUTTA, grant number 10043587.
DOI: 10.5281/zenodo.6473157
title: COVID-CO2-ferries

description: The COVID_CO2_ferries dataset stems from variables of the THETIS-MRV and IHS Markit datasets. They are described in the manuscript referenced below in "Additional Resources". Meaning of the variables in the COVID_CO2_ferries dataset: number name meaning units 1 IMOn IMO number (Vessel unique identifier) - 2 Eber Per-ship CO2 emissions at berth ton 3 Etot Per-ship total CO2 emissions ton 4 Dom Sea Basin (NOR, BAL, MED) - 5 COVID dummy variable (true in 2020) - 6 year year of CO2 emissions - 7 Pme Total power of main engines 0/1 8 LOA Length over all 0/1 9 nPax Passenger carrying capacity 0/1 10 yearB year of building 0/1 11 nCalls Per-ship number of port calls - 12 VType Vessel type (see defining Eq. below) - The variables with binary values (0/1 in the "units" column) refer to below (0) or above (1) the thresholds defined by: \(k\) \(\varphi_k\) \(\varphi_{k0}\) units 0 Pme 21,600 kW 1 nPax 1,250 - 2 LOA 174 m 3 yearB 1999 - The VType variable is defined by: \(\texttt{VType} = \sum_{k=0}^{3} \, 2^{k} \cdot H(\varphi_{k} - \varphi_{k0}) \) <strong>Additional Resources</strong> The "<em>How COVID-19 affected GHG emissions of ferries in Europe</em>" manuscript by Mannarini et al. (2022) using this dataset is published on Sustainability 2022, 14(9), 5287; https://doi.org/10.3390/su14095287. You may want to cite it. A jupyter notebook using this dataset is available at https://github.com/hybrs/COVID-CO2-ferries
description: (c) Fondazione CMCC, 2022 This work was supported by the European Regional Development Fund through the Italy-Croatia Interreg programme, project GUTTA, grant number 10043587.
DOI: 10.6084/m9.figshare.21456306.v1
title: Table 2. The Japanese older adult narratives

description: The Japanese older adult narratives
DOI: 10.6084/m9.figshare.21456297
title: locations of Triosteum pinnatifidum

description: the locations of Triosteum pinnatifidum
DOI: 10.6084/m9.figshare.21456297.v1
title: locations of Triosteum pinnatifidum

description: the locations of Triosteum pinnatifidum
DOI: 10.6084/m9.figshare.21456300
title: locations of Triosteum himalayanum

description: the locations of Triosteum himalayanum
DOI: 10.6084/m9.figshare.21456300.v1
title: locations of Triosteum himalayanum

description: the locations of Triosteum himalayanum
DOI: 10.5281/zenodo.7265997
title: Australian Synchrotron beamline calibration dataset from Rochelle salt

description: This deposit contains single crystal data collected from Rochelle salt (potassium sodium tartrate) crystals at the Australian Synchrotron MX1 beamline in August 2010. Data were collected for instrument characterisation purposes and no structure solution or refinement has been undertaken. One archive contains the original raw data in ADSC frame format (SMV format) and the other contains the same frames in CBF format converted from the ADSC files. The ktart2_cbf.imgcif file is a file in imgCIF format providing all necessary metadata for data reduction.<br>
DOI: 10.5281/zenodo.7265996
title: Australian Synchrotron beamline calibration dataset from Rochelle salt

description: This deposit contains single crystal data collected from Rochelle salt (potassium sodium tartrate) crystals at the Australian Synchrotron MX1 beamline in August 2010. Data were collected for instrument characterisation purposes and no structure solution or refinement has been undertaken. One archive contains the original raw data in ADSC frame format (SMV format) and the other contains the same frames in CBF format converted from the ADSC files. The ktart2_cbf.imgcif file is a file in imgCIF format providing all necessary metadata for data reduction.<br>
DOI: 10.23729/ac4cb8cc-6bbe-4e21-acd2-7f3c49b44005
title: Poliisin kielellinen toiminta -kyselylomake
title: Poliisin kielellinen toiminta -kyselylomake

description: This survey is a data collection method for a master's thesis in 2019. The survey has been distributed to all Finnish police departments and the responding has taken place in the Webropol service from 11 December 2018 to 12 February 2019. Informants are police officers. The survey includes 12 imagined situations in which the police maintaining public order and security. Each situation ends with the question “what do you say”. The informant has written an imagined speech for each situations and has defined his speech act as advice, request or order (Police Act 872/2011 § 6). The informant may also have defined his speech as something else. 115 police officers responded to the survey. Research data includes a total of 1 307 speech acts in which the police present an imagined directive to an imagined citizen.
description: Tämä kyselylomake on vuonna 2019 valmistuneen pro gradu -tutkielman aineistonkeruumenetelmä. Kysely on jaettu kaikille Suomen poliisilaitoksille, ja vastaaminen on tapahtunut Webropol-palvelussa ajalla 11.12.2018–12.2.2019. Informantit ovat valvonta- ja hälytystehtävissä työskenteleviä poliiseja. Kyselyyn sisältyy 12 kuviteltua tilannetta, joissa poliisin tehtävänä on ylläpitää yleistä järjestystä ja turvallisuutta. Jokainen tilanne päättyy avokysymykseen "mitä sanot". Vastaaja on kirjoittanut jokaiseen tilanteeseen kuvitellun puheenvuoron ja määrittänyt lausumansa poliisilain (872/2011) mukaan neuvoksi, kehotuksesi tai käskyksi. Vastaaja on voinut määritellä puheenvuoronsa myös joksikin muuksi. Kyselyyn vastasi 115 poliisia. Vastauksista muodostettu tutkimusaineisto käsittää yhteensä 1 307 lausumaa, joissa poliisi esittää kuvitellun toimintaehdotuksen kuvitellulle kohdehenkilölle.
DOI: 10.5281/zenodo.7270250
title: The effect of past saturation changes on noble gas reconstructions of mean ocean temperature: Model Output Data

description: This dataset contains model output for the simulations presented in "<em>The effect of past saturation changes on noble gas reconstructions of mean ocean temperature</em>". The NetCDF4 files contain the following variables: Potential Temperature Salinity Sea-ice area Ar, Kr, Xe, and N<sub>2</sub> concentrations AMOC strength and Northern-Sourced Water fraction (only transient runs)
DOI: 10.5281/zenodo.7270249
title: The effect of past saturation changes on noble gas reconstructions of mean ocean temperature: Model Output Data

description: This dataset contains model output for the simulations presented in "<em>The effect of past saturation changes on noble gas reconstructions of mean ocean temperature</em>". The NetCDF4 files contain the following variables: Potential Temperature Salinity Sea-ice area Ar, Kr, Xe, and N<sub>2</sub> concentrations AMOC strength and Northern-Sourced Water fraction (only transient runs)
DOI: 10.5281/zenodo.7273302
title: Traveltime calculations for qP, qSV and qSH waves in 3D tilted transversely isotropic media using fast sweeping method with a Newton method local solver

description: Data for the 3D BP model, which is used in the numerical example test for fast sweeping method
DOI: 10.5281/zenodo.7273301
title: Traveltime calculations for qP, qSV and qSH waves in 3D tilted transversely isotropic media using fast sweeping method with a Newton method local solver

description: Data for the 3D BP model, which is used in the numerical example test for fast sweeping method
DOI: 10.5281/zenodo.7269929
title: NO2 Corrected Timeseries of AOD at 440,400 nm, Angstrom Exponent for Two Sites in Rome

description: Dataset Created in the framework of QA4EO wp2360. Timeseries of AOD 440nm for AERONET stations SAP and ISAC in Rome, Italy, AOD 400nm for Skynet station in SAP and corresponding ånström exponents, corrected for Total NO2 effect, using PNG data. Time period 2017-2022
DOI: 10.5281/zenodo.7269928
title: NO2 Corrected Timeseries of AOD at 440,400 nm, Angstrom Exponent for Two Sites in Rome

description: Dataset Created in the framework of QA4EO wp2360. Timeseries of AOD 440nm for AERONET stations SAP and ISAC in Rome, Italy, AOD 400nm for Skynet station in SAP and corresponding ånström exponents, corrected for Total NO2 effect, using PNG data. Time period 2017-2022
DOI: 10.5281/zenodo.7271749
title: Progeny Project DFT data for MW1, MW2 and MW8 surfactant molecules

description: DFT data, i.e. geometries, electronic eigenvalues, wave function "molden format" data and RESP charges for the MW1, MW2 and MW8 surfactants of the Progeny Project. See Readme.txt for more details.
DOI: 10.5281/zenodo.7271748
title: Progeny Project DFT data for MW1, MW2 and MW8 surfactant molecules

description: DFT data, i.e. geometries, electronic eigenvalues, wave function "molden format" data and RESP charges for the MW1, MW2 and MW8 surfactants of the Progeny Project. See Readme.txt for more details.
DOI: 10.34740/kaggle/dsv/4437167
title: AutoXGB
DOI: 10.5281/zenodo.6801566
title: Progeny Project Gromacs input and trajectories of a C12E6 surfactant model at the vacuum-water interface

description: This is gromacs 2021.2 input and output for an all-atom C12E6 surfactant molecule at the water-vacuum<br> interface with TIP4P-ew and SPC/E water models.
DOI: 10.5281/zenodo.6801565
title: Progeny Project Gromacs input and trajectories of a C12E6 surfactant model at the vacuum-water interface

description: This is gromacs 2021.2 input and output for an all-atom C12E6 surfactant molecule at the water-vacuum<br> interface with TIP4P-ew and SPC/E water models.
DOI: 10.5281/zenodo.6802867
title: Progeny Project MW1 surfactant at water-vacuum interface simulation data, 1 to 48 molecules per surface

description: "MW1" terthiophene based surfactant molecule at the water-vacuum interface from the PROGENY project ,<br> gromacs 2021.2 input and output.<br> From the trajectories contained in this archive density profiles and surface tensions can be extracted. Different number of molecules per surface in each sub directory. See Readme.txt.
DOI: 10.5281/zenodo.6802868
title: Progeny Project MW1 surfactant at water-vacuum interface simulation data, 1 to 48 molecules per surface

description: "MW1" terthiophene based surfactant molecule at the water-vacuum interface from the PROGENY project ,<br> gromacs 2021.2 input and output.<br> From the trajectories contained in this archive density profiles and surface tensions can be extracted. Different number of molecules per surface in each sub directory. See Readme.txt.
DOI: 10.5281/zenodo.6802938
title: Progeny Project MW1 surfactant at water-vacuum interface simulation data, 60 to 154 molecules per surface

description: "MW1" terthiophene based surfactant molecule at the water-vacuum interface from the PROGENY project ,<br> gromacs 2021.2 input and output.<br> From the trajectories contained in this archive density profiles and surface tensions can be extracted. Different number of molecules per surface in each sub directory. See Readme.txt.
DOI: 10.5281/zenodo.6802937
title: Progeny Project MW1 surfactant at water-vacuum interface simulation data, 60 to 154 molecules per surface

description: "MW1" terthiophene based surfactant molecule at the water-vacuum interface from the PROGENY project ,<br> gromacs 2021.2 input and output.<br> From the trajectories contained in this archive density profiles and surface tensions can be extracted. Different number of molecules per surface in each sub directory. See Readme.txt.
DOI: 10.5281/zenodo.6803011
title: Progeny Project MW1 surfactant at water-vacuum interface simulation data, 161 to 175 molecules per surface

description: "MW1" terthiophene based surfactant molecule at the water-vacuum interface from the PROGENY project ,<br> gromacs 2021.2 input and output.<br> From the trajectories contained in this archive density profiles and surface tensions can be extracted. Different number of molecules per surface in each sub directory. See Readme.txt.
DOI: 10.5281/zenodo.6803010
title: Progeny Project MW1 surfactant at water-vacuum interface simulation data, 161 to 175 molecules per surface

description: "MW1" terthiophene based surfactant molecule at the water-vacuum interface from the PROGENY project ,<br> gromacs 2021.2 input and output.<br> From the trajectories contained in this archive density profiles and surface tensions can be extracted. Different number of molecules per surface in each sub directory. See Readme.txt.
DOI: 10.5281/zenodo.7271451
title: Progeny Project Gromacs MD Simulations of the MW8 surfactant

description: "MW8" thiophene based surfactant molecule at the water-vacuum interface, data from the PROGENY project ,<br> gromacs 2021.2 input and output.<br> From the trajectories contained in this archive density profiles and surface tensions can be extracted. Different number of molecules per surface in each sub directory. See README.txt.
DOI: 10.5281/zenodo.7271450
title: Progeny Project Gromacs MD Simulations of the MW8 surfactant

description: "MW8" thiophene based surfactant molecule at the water-vacuum interface, data from the PROGENY project ,<br> gromacs 2021.2 input and output.<br> From the trajectories contained in this archive density profiles and surface tensions can be extracted. Different number of molecules per surface in each sub directory. See README.txt.
DOI: 10.5281/zenodo.7271564
title: Progeny Project DFT and DFTB data of MW9 and MW10 surfactant molecules

description: DFT and DFTB (see dftb.org) data for the MW9 and MW10 PDI based surfactant molecules of the Progeny project. See README.txt in each subdirectory for more details.
DOI: 10.5281/zenodo.7271563
title: Progeny Project DFT and DFTB data of MW9 and MW10 surfactant molecules

description: DFT and DFTB (see dftb.org) data for the MW9 and MW10 PDI based surfactant molecules of the Progeny project. See README.txt in each subdirectory for more details.
DOI: 10.6084/m9.figshare.20089802
title: Dataset1.xlsx

description: Dataset 1
DOI: 10.6084/m9.figshare.21456336
title: SRR17957016.fasta.gz

description: Leaf RNA sequences
DOI: 10.6084/m9.figshare.21456336.v1
title: SRR17957016.fasta.gz

description: Leaf RNA sequences
DOI: 10.17632/d89gphmnsk.3
title: IR-QUMA

description: IR-QUMA The IR-QUMA study (Iranian Survey on Quality in Messenger Apps) is defined to evaluate the quality of some messenger apps. A questionnaire was designed to evaluate some quality-related measures, metrics and features from users’ experience point of view. The questionnaire was published in popular channels of Iranian mobile social networks, in 10 different messengers (including Telegram, Whatsapp, Instagram, Eita, Soroush, Bale, Gap, IGap, Shaad and Rubika). More than 40 communities of users in these 10 messengers have contributed to this research questionnaire. Total of data is exceeds the level of 7k filled online forms. We hash the name of these messengers randomly by assigning ID-codes from M1 to M10.