cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4071224
title: PsPM-SCB2D: Skin conductance response from a delay fear conditioning task with auditory CS (monophones/triads)

description: This dataset includes skin conductance response (SCR) for 22 healthy unmedicated participants (15 females and 7 males, age range: 18 - 32 years, mean age: 22.1 +/- 3.4) participating in a classical (Pavlovian) discriminant delay fear conditioning experiment with auditory CS. Also included are CS and US information, and ratings of CS after the experiment. Simple and complex CS were simple sine tones (4 s), and triads in root position or in first inversion, respectively. US was a train of electric square pulses delivered with a constant current stimulator (Digitimer DS7A, Digitimer, Welwyn Garden City, UK) on participants' dominant forearm through a pin-cathode/ring-anode configuration. After the fear conditioning task, participants were first asked to report their subjective estimate of how likely they were to receive a shock after a given CS in the future, on a visual analogue scale of 0-100. Then they were asked to rate pairs of CS sounds with respect to which of the two stimuli they liked less.
description: Data are stored as .mat files for use with MATLAB (The MathWorks Inc., Natick, USA) in a format readable by the PsPM toolbox (bachlab.org/pspm). All Matlab files are saved in MATLAB 9.7 (R2019b) format.
DOI: 10.5281/zenodo.10492057
title: Signature of anyonic statistics in the integer quantum Hall regime

description: Raw data, data treatment files and code for non-perturbative theory for "Signature of anyonic statistics in the integer quantum Hall regime" by P. Glidic et al.
DOI: 10.5281/zenodo.10492056
title: Signature of anyonic statistics in the integer quantum Hall regime

description: Raw data, data treatment files and code for non-perturbative theory for "Signature of anyonic statistics in the integer quantum Hall regime" by P. Glidic et al.
DOI: 10.5281/zenodo.10492326
title: Data on testing for COVID-19 by week and country

description: The dataset contains information about testing volume for COVID-19 by week and Country. 

It is based on data originally downloaded by the site https://www.ecdc.europa.eu/en/covid-19.

Raw data from ECDC, harmonization and homogenization of data from UNIPV - Laboratory of Geomatics
description: Data collected from ECDC (European Centre for Disease Prevention and Control).This database is provided by official sources.The generated information from this database could be used for scientific publications and useful for the future Public Health Observatories.
DOI: 10.5281/zenodo.10492327
title: Data on testing for COVID-19 by week and country

description: The dataset contains information about testing volume for COVID-19 by week and Country. 

It is based on data originally downloaded by the site https://www.ecdc.europa.eu/en/covid-19.

Raw data from ECDC, harmonization and homogenization of data from UNIPV - Laboratory of Geomatics
description: Data collected from ECDC (European Centre for Disease Prevention and Control).This database is provided by official sources.The generated information from this database could be used for scientific publications and useful for the future Public Health Observatories.
DOI: 10.7910/dvn/nua7ik
title: Replication Data for: A Scalable Democratic Reform that Sharply Reduces Affective Polarization

description: This package includes replication data from a Deliberative Town Hall conducted in November 2022, specifically focusing on post-event questions on affective polarization.
DOI: 10.21227/gxve-m143
title: Blood_Dataset

description: Since the majority of people have smartphones, the Hb level can be determined using the smartphone's video through PPG signal as opposed to the traditional approaches, which still require the use of a needle to puncture a vein. This study enrolled 108 subjects who underwent a clinical test, with their hemoglobin (Hb) level within the range of 6.6 to 16.5 g/dL. To mitigate potential variability in Hb levels during a brief period, 15-second recordings of the pointer finger were captured by utilizing a smartphone prior to the clinical test.  When the user places their finger on the phone's camera to record data, the camera flashlight briefly illuminates the area. The captured video is transformed to 60 fps as capturing a PPG signal at 60 fps provides a more detailed and accurate representation of changes in blood volume and heart rate compared to a lower frame rate.
DOI: 10.4121/3803b83c-e9ab-44a6-bbad-c53d43bf318b.v1
title: Data underlying Chapter 3 of the doctoral dissertation "Nanophotonics with Diamond Color Centers: Quantum Optics and Entanglement Protocols"

description: Data underlying Chapter 3 of the doctoral dissertation titled "Nanophotonics with Diamond Color Centers: Quantum Optics and Entanglement Protocols ".<br>This thesis is for a doctoral degree in experimental quantum physics, and discusses experiments with color centers in diamond. This dataset allows to reproduce the figures in Chapter 3 of the dissertation.<br>Chapter 3 of this thesis reports experimental results on fabrication of tin-vacancy color centers in diamond by ion implantation, characterization of the optical properties and integration in diamond waveguides.<br>The experimental data is taken with custom Python-based software. The data is saved in hdf5 and .dat files. Two Jupyter notebooks allow to extract, fit and plot the data contained in the folders, reproducing the figures.<br>The data pertaining to the other chapters of the dissertation is available elsewhere (references to the repositories can be found in the thesis).
DOI: 10.5281/zenodo.10492372
title: Primary production-related physical and biogeochemical modeled fields

description: This dataset includes the tridimensional modeled physical and biogeochemical variables that support the results of the article "Spatiotemporal variability and drivers of modeled primary production rates in the Northern Humboldt Current System".

Contained within a single NetCDF file ("Simulation.nc") of approximately 1.3GB, this dataset encompasses monthly mean values of crucial variables to this study. These variables include the concentration of diatoms, the concentration of nanophytoplankton (nano), primary production in diatoms, primary production in nano, chlorophyll in diatoms, chlorophyll in nano, nitrate, phosphate, silicate, ammonium, iron, photosynthetically active radiation (PAR), temperature, mixed layer depth, and euphotic layer depth. These variables collectively offer a comprehensive view of the biogeochemical and physical factors that underpin primary production in the Northern Humboldt Current System, contributing to a deeper understanding of the region's ecological dynamics. All the variables were vertically interpolated each 5 meters from the surface to 50 m depth.

Furthermore, it includes a list of the biogeochemical parameters employed in this study (namelist.trc.sms)

 
description: R. Mogollón, and D. Espinoza Morriberón acknowledge the financial support of the Project Concytec ``Estudio de la variabilidad interanual de la producción primaria en el mar peruano mediante un modelo físico-biogeoquímico y observaciones in situ de alta frecuencia: Hacia un sistema operacional'', through its executing unit Prociencia.
DOI: 10.5281/zenodo.8373942
title: Primary production-related physical and biogeochemical modeled fields

description: This dataset includes the tridimensional modeled physical and biogeochemical variables that support the results of the article "Spatiotemporal variability and drivers of modeled primary production rates in the Northern Humboldt Current System".

Contained within a single NetCDF file ("Simulation.nc") of approximately 1.3GB, this dataset encompasses monthly mean values of crucial variables to this study. These variables include the concentration of diatoms, the concentration of nanophytoplankton (nano), primary production in diatoms, primary production in nano, chlorophyll in diatoms, chlorophyll in nano, nitrate, phosphate, silicate, ammonium, iron, photosynthetically active radiation (PAR), temperature, mixed layer depth, and euphotic layer depth. These variables collectively offer a comprehensive view of the biogeochemical and physical factors that underpin primary production in the Northern Humboldt Current System, contributing to a deeper understanding of the region's ecological dynamics. All the variables were vertically interpolated each 5 meters from the surface to 50 m depth.

Furthermore, it includes a list of the biogeochemical parameters employed in this study (namelist.trc.sms)

 
description: R. Mogollón, and D. Espinoza Morriberón acknowledge the financial support of the Project Concytec ``Estudio de la variabilidad interanual de la producción primaria en el mar peruano mediante un modelo físico-biogeoquímico y observaciones in situ de alta frecuencia: Hacia un sistema operacional'', through its executing unit Prociencia.
DOI: 10.5281/zenodo.8373943
title: Primary production-related physical and biogeochemical modeled fields

description: This dataset includes the tridimensional modeled physical and biogeochemical variables that support the results of the article "Spatiotemporal variability and drivers of modeled primary production rates in the Northern Humboldt Current System".
Contained within a single NetCDF file ("Simulation.nc") of approximately 1.3GB, this dataset encompasses monthly mean values of crucial variables to this study. These variables include the concentration of diatoms, the concentration of nanophytoplankton (nano), primary production in diatoms, primary production in nano, chlorophyll in diatoms, chlorophyll in nano, nitrate, phosphate, silicate, ammonium, iron, photosynthetically active radiation (PAR), temperature, mixed layer depth, and euphotic layer depth. These variables collectively offer a comprehensive view of the biogeochemical and physical factors that underpin primary production in the Northern Humboldt Current System, contributing to a deeper understanding of the region's ecological dynamics. All the variables were vertically interpolated each 5 meters from the surface to 50 m depth.
 
description: R. Mogollón, and D. Espinoza Morriberón acknowledge the financial support of the Project Concytec ``Estudio de la variabilidad interanual de la producción primaria en el mar peruano mediante un modelo físico-biogeoquímico y observaciones in situ de alta frecuencia: Hacia un sistema operacional'', through its executing unit Prociencia.
DOI: 10.34740/kaggle/dsv/7384215
title: Fetching text data from website (category: FOOD)
DOI: 10.6084/m9.figshare.24982326
title: dataset-06h.zip

description: The affinity data generated from the docking simulation of polypeptides and gases can be used to screen for polypeptide-gas combinations with high specificity and affinity, which can be used for the design of screening chips.
DOI: 10.6084/m9.figshare.24982326.v1
title: dataset-06h.zip

description: The affinity data generated from the docking simulation of polypeptides and gases can be used to screen for polypeptide-gas combinations with high specificity and affinity, which can be used for the design of screening chips.
DOI: 10.5281/zenodo.10492419
title: Data on SARS-CoV-2 variants in the EU/EEA

description: The dataset contains information about the volume of COVID-19 sequencing, the number and percentage distribution of variants of concern (VOC) by week and country. Each row contains the corresponding data for a Country, variant and week. 

It is based on data originally downloaded by the site https://www.ecdc.europa.eu/en/covid-19.

Raw data from ECDC, harmonization and homogenization of data from UNIPV - Laboratory of Geomatics

 
description: Data collected from ECDC (European Centre for Disease Prevention and Control).This database is provided by official sources.The generated information from this database could be used for scientific publications and useful for the future Public Health Observatories.
DOI: 10.5281/zenodo.10492420
title: Data on SARS-CoV-2 variants in the EU/EEA

description: The dataset contains information about the volume of COVID-19 sequencing, the number and percentage distribution of variants of concern (VOC) by week and country. Each row contains the corresponding data for a Country, variant and week. 

It is based on data originally downloaded by the site https://www.ecdc.europa.eu/en/covid-19.

Raw data from ECDC, harmonization and homogenization of data from UNIPV - Laboratory of Geomatics

 
description: Data collected from ECDC (European Centre for Disease Prevention and Control).This database is provided by official sources.The generated information from this database could be used for scientific publications and useful for the future Public Health Observatories.
DOI: 10.6084/m9.figshare.24982329
title: dataset-18h.zip

description: The affinity data generated from the docking simulation of polypeptides and gases can be used to screen for polypeptide-gas combinations with high specificity and affinity, which can be used for the design of screening chips.
DOI: 10.6084/m9.figshare.24982329.v1
title: dataset-18h.zip

description: The affinity data generated from the docking simulation of polypeptides and gases can be used to screen for polypeptide-gas combinations with high specificity and affinity, which can be used for the design of screening chips.
DOI: 10.5281/zenodo.10492078
title: Buryatia UFSIN News Crawl

description: Warc files produced by a webcrawl of Buryatia UFSIN news online resource.
DOI: 10.5281/zenodo.10492079
title: Buryatia UFSIN News Crawl

description: Warc files produced by a webcrawl of Buryatia UFSIN news online resource.
DOI: 10.6084/m9.figshare.24982332
title: dataset-60h.zip

description: The affinity data generated from the docking simulation of polypeptides and gases can be used to screen for polypeptide-gas combinations with high specificity and affinity, which can be used for the design of screening chips.
DOI: 10.6084/m9.figshare.24982332.v1
title: dataset-60h.zip

description: The affinity data generated from the docking simulation of polypeptides and gases can be used to screen for polypeptide-gas combinations with high specificity and affinity, which can be used for the design of screening chips.
DOI: 10.60525/04teye511/7lrx8x/z386wn
title: Moscoso_RW6U.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/djgynj
title: Moscoso_RW1.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/geplm7
title: Moscoso_RW5.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/l7ctib
title: Lombardi_WC15L40.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/mfrybd
title: Lombardi_WU10N40.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/yzlcs6
title: Hube_2020_WSL8.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/1scixo
title: Lombardi_WC15L30.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/c08scc
title: Moscoso_RW3.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/mpsu05
title: Hube_2020_WSL4.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/snqws6
title: Hidalgo_W29.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/v7dily
title: Lombardi_WC15N30.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/xarxcr
title: Hube_2020_WSL7.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/3wxpmb
title: Hidalgo_W32.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/gruksf
title: Hube_2014_W7.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/pywyqp
title: Colmenares_RCW060U.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/ri5srr
title: Hidalgo_W30.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/zvg8oa
title: Hube_2020_WSL1.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/ejr5dp
title: PUC_Chile_ShearWallDatabase_v1_03-2022 .xlsx

description: :unav
DOI: 10.60525/04teye511/7lrx8x/fo2rlf
title: Hube_2020_WSL3.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/kzqdc2
title: Hube_2014_W9.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/vh2tpw
title: Hidalgo_W31.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/ynksmd
title: Colmenares_RCW030U.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/zhrnck
title: Moscoso_RW4D.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/bdknqj
title: Colmenares_RCW000U.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/k4ghqh
title: Hidalgo_W28.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/qa9qid
title: Hube_2020_WSL9.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/ulsvg9
title: Hube_2014_W8.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/yn6mvc
title: Lombardi_WU10L40.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/yzlume
title: Hube_2020_WSL2.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/3fsyod
title: Colmenares_RCW060D.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/8ozvrt
title: Hube_2020_WSL5.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/bb7skp
title: Lombardi_WU10N30.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/x6ejn9
title: Moscoso_RW4U.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/yhg88g
title: Colmenares_RCW120U.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/3tzbtt
title: Moscoso_RW2D.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/ahzdju
title: Moscoso_RW2U.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/c1rijs
title: Hube_2020_WSL6.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/rw2utt
title: Moscoso_RW6D.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/xv2zvo
title: Hube_2014_W6.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/ybzjye
title: Colmenares_RCW120D.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/6vtnkd
title: Hube_2014_W4.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/9djkf3
title: Colmenares_RCW030D.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/d7fsss
title: ShearWallDatabase_v1_03-22.rar

description: :unav
DOI: 10.60525/04teye511/7lrx8x/fdpiap
title: Alarcón_W1.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/jaauur
title: Hube_2014_W5.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x/rjoebe
title: Lombardi_WU10L30.txt

description: :unav
DOI: 10.60525/04teye511/7lrx8x
title: Conjunto de datos: PUC Chile Shear Wall Database

description: Base de datos que contiene los resultados de múltiples ensayos de muros realizados en el Laboratorio de Estructuras del Departamento de Ingeniería Estructural y Geotécnica.
DOI: 10.60525/04teye511/7lrx8x/lsbxuh
title: Alarcón_W3.txt

description: :unav
DOI: 10.6084/m9.figshare.24982503
title: 20240112_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24982503.v1
title: 20240112_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.25625/zepcvh/vmfbbg
title: AGU_SuppInfo_Hestnes et al.pdf

description: :unav
DOI: 10.25625/zepcvh/eypvu3
title: Table S4 MTL samples.tab

description: :unav
DOI: 10.25625/zepcvh/vl7o7s
title: Table S2 Sample overview AFT data.pdf

description: :unav
DOI: 10.25625/zepcvh/2mzjev
title: Table S3 AFT single grain.tab

description: :unav
DOI: 10.25625/zepcvh
title: Å. Hestnes, D. Gasser, R. Ketcham, I. Dunkl, A. K. Ksienzyk, T. Scheiber, H. Sirevaag, J. Jacobs (2024): The thermal evolution of Western Norway based on multi-sample models of an elevation transect: implications for the formation of high-elevation low-relief surfaces on an elevated rifted continental margin, submitted to Geochemistry, Geophysics, Geosystems – G3 [Dataset]

description: This repository contains the supporting information to the manuscript of Hestens et al. The thermal evolution of Western Norway based on multi-sample models of an elevation transect: implications for the formation of high-elevation low-relief surfaces on an elevated rifted continental margin
DOI: 10.5517/ccdc.csd.cc2dzn68
title: CCDC 2233990: Experimental Crystal Structure Determination

description: Related Article: Han-Jiang Yang, Weijia Xiang, Xiangzhou Zhang, Jin-Yun Wang, Liang-Jin Xu, Zhong-Ning Chen|2024|J.Mater.Chem.C|12|438|doi:10.1039/D3TC04081J
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: 10.5281/zenodo.10492427
title: Data on country response measures to COVID-19

description: The data correspond to the selected national public response measures presented in the weekly report COVID-19 Country overviews.Response measures collected include mass gathering cancellations (for specific events or a ban on gatherings of a particular size); closure of public spaces (including restaurants, entertainment venues, non-essential shops, partial or full closure of public transport etc.); closure of educational institutions (including daycare or nursery, primary schools, and secondary schools and higher education); ‘stay-at-home’ recommendations for risk groups or vulnerable populations (such as the elderly, people with underlying health conditions, physically disabled people etc.); ‘stay-athome’ recommendations for the general population (which are voluntary or not enforced); and ‘stay-at-home’ orders for the general population (these are enforced and also referred to as ‘lockdown’), use of protective masks in public spaces/on public transport (mutually exclusive voluntary recommendations and mandatory obligations shown separately) and also teleworking recommendations/closure of workplaces

It is based on data originally downloaded by the site https://www.ecdc.europa.eu/en/covid-19.

Raw data from ECDC, harmonization and homogenization of data from UNIPV - Laboratory of Geomatics
description: Data collected from ECDC (European Centre for Disease Prevention and Control).This database is provided by official sources.The generated information from this database could be used for scientific publications and useful for the future Public Health Observatories.
DOI: 10.5281/zenodo.10492428
title: Data on country response measures to COVID-19

description: The data correspond to the selected national public response measures presented in the weekly report COVID-19 Country overviews.Response measures collected include mass gathering cancellations (for specific events or a ban on gatherings of a particular size); closure of public spaces (including restaurants, entertainment venues, non-essential shops, partial or full closure of public transport etc.); closure of educational institutions (including daycare or nursery, primary schools, and secondary schools and higher education); ‘stay-at-home’ recommendations for risk groups or vulnerable populations (such as the elderly, people with underlying health conditions, physically disabled people etc.); ‘stay-athome’ recommendations for the general population (which are voluntary or not enforced); and ‘stay-at-home’ orders for the general population (these are enforced and also referred to as ‘lockdown’), use of protective masks in public spaces/on public transport (mutually exclusive voluntary recommendations and mandatory obligations shown separately) and also teleworking recommendations/closure of workplaces

It is based on data originally downloaded by the site https://www.ecdc.europa.eu/en/covid-19.

Raw data from ECDC, harmonization and homogenization of data from UNIPV - Laboratory of Geomatics
description: Data collected from ECDC (European Centre for Disease Prevention and Control).This database is provided by official sources.The generated information from this database could be used for scientific publications and useful for the future Public Health Observatories.
DOI: 10.25747/xtxj-av32
title: BioPhotonics Signal Analysis: Phase-derived features for microparticles and nanoparticles identification