cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18712/nsd-nsd2546-v7
title: Norwegian Citizen Panel Round 10, 2017

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 10, 2017 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.5281/zenodo.10184601
title: CHANGE OF BIOCHEMICAL INDICATORS IN THE NEPROTIC FORM OF CHRONIC GLOMERULONEPHRITIS IN CHILDREN AND THEIR RECOVERY
DOI: 10.5281/zenodo.10184602
title: CHANGE OF BIOCHEMICAL INDICATORS IN THE NEPROTIC FORM OF CHRONIC GLOMERULONEPHRITIS IN CHILDREN AND THEIR RECOVERY
DOI: 10.5281/zenodo.10184622
title: "ПРОФИЛАКТИКА РИСКА РАЗВИТИЯ АЛИМЕНТАРНО-ЗАВИСИМЫХ ЗАБОЛЕВАНИЙ У ДЕТЕЙ ШКОЛЬНОГО ВОЗРАСТА"
DOI: 10.5281/zenodo.10184623
title: "ПРОФИЛАКТИКА РИСКА РАЗВИТИЯ АЛИМЕНТАРНО-ЗАВИСИМЫХ ЗАБОЛЕВАНИЙ У ДЕТЕЙ ШКОЛЬНОГО ВОЗРАСТА"
DOI: 10.5281/zenodo.10184415
title: Host-guest complexation in wide bandgap perovskite solar cells

description: Wide bandgap hybrid halide perovskites are increasingly relevant in the fabrication of tandem solar cells. However, their efficiency and stability during operation are still limited by several factors, among which ion migration at the interface with charge-selective extraction layers is one of the most detrimental ones. Herein, we employ a host-guest complexation strategy to control interfacial ion migration by using dibenzo-21-crown-7 in wide bandgap hybrid halide perovskites based on methylammonium (MA) lead bromide. We demonstrate the capacity of the crown ether to affect the performances and stabilities of MAPbBr3 solar cells. As a result, we achieve power conversion efficiencies up to 5.9% with an open circuit voltage as high as 1.5 V, which is accompanied by stability over 300 h at 85 °C under nitrogen atmosphere, as well as more than 300 h at ambient temperature, maintaining ∼80% of initial performance. This represents a versatile strategy for wide bandgap photovoltaic devices.
DOI: 10.5281/zenodo.10184416
title: Host-guest complexation in wide bandgap perovskite solar cells

description: Wide bandgap hybrid halide perovskites are increasingly relevant in the fabrication of tandem solar cells. However, their efficiency and stability during operation are still limited by several factors, among which ion migration at the interface with charge-selective extraction layers is one of the most detrimental ones. Herein, we employ a host-guest complexation strategy to control interfacial ion migration by using dibenzo-21-crown-7 in wide bandgap hybrid halide perovskites based on methylammonium (MA) lead bromide. We demonstrate the capacity of the crown ether to affect the performances and stabilities of MAPbBr3 solar cells. As a result, we achieve power conversion efficiencies up to 5.9% with an open circuit voltage as high as 1.5 V, which is accompanied by stability over 300 h at 85 °C under nitrogen atmosphere, as well as more than 300 h at ambient temperature, maintaining ∼80% of initial performance. This represents a versatile strategy for wide bandgap photovoltaic devices.
DOI: 10.5281/zenodo.10184554
title: Importance rating of various operational aspects related to repair service processes

description: Contextual information
The survey considers the scenario that repairs are conducted at a repair service centre but not as a repair service at home as, e.g., for washing machines. This allowed to split the sample into four groups, each of it referring to a different portable product to be repaired (bicycle, smartphone, vacuum cleaner and a generic product) in order to examine the generalisability of the results.
The survey is based on items related to repair operations and provides data concerning the importance of the different items. It considers the scenario that repairs are conducted at a repair service centre but not as a repair service at home as, e.g., for washing machines. The operational aspects concern three different stages of the repair process that can be influenced by the repair company: the prepurchase, service encounter, and post-encounter stage. Furthermore, socio-demographic data is included.
Description of the data and file structure
The dataset contains 107 aspects identified for potential improvement of repair operations. The importance of operational aspects was rated by survey participants on a 7-point Likert scale (extremely important to not at all important). Three additional questions for quality control (e.g., 'Please tick 1 = extremely important') tested the attention of the participants. 
File 'Translation_of_items.ods' contains the items in German (original version) and English (translated). File 'Description_of_Data.ods' contains a description of the variables.

We removed all answers with completion time of less than five minutes, as the pre-test showed that this was the minimum time for a focused completion of the survey.
All data rows with wrongly answered control questions were removed.
DOI: 10.5281/zenodo.10184555
title: Importance rating of various operational aspects related to repair service processes

description: Contextual information
The survey considers the scenario that repairs are conducted at a repair service centre but not as a repair service at home as, e.g., for washing machines. This allowed to split the sample into four groups, each of it referring to a different portable product to be repaired (bicycle, smartphone, vacuum cleaner and a generic product) in order to examine the generalisability of the results.
The survey is based on items related to repair operations and provides data concerning the importance of the different items. It considers the scenario that repairs are conducted at a repair service centre but not as a repair service at home as, e.g., for washing machines. The operational aspects concern three different stages of the repair process that can be influenced by the repair company: the prepurchase, service encounter, and post-encounter stage. Furthermore, socio-demographic data is included.
Description of the data and file structure
The dataset contains 107 aspects identified for potential improvement of repair operations. The importance of operational aspects was rated by survey participants on a 7-point Likert scale (extremely important to not at all important). Three additional questions for quality control (e.g., 'Please tick 1 = extremely important') tested the attention of the participants. 
File 'Translation_of_items.ods' contains the items in German (original version) and English (translated). File 'Description_of_Data.ods' contains a description of the variables.

We removed all answers with completion time of less than five minutes, as the pre-test showed that this was the minimum time for a focused completion of the survey.
All data rows with wrongly answered control questions were removed.
DOI: 10.5281/zenodo.10184644
title: TEXNOLOGIYA DARSLARINING SIFATINI OSHIRISH, O'QUVCHILAR TEXNIK IJODKORLIGINI RIVOJLANTIRISHDA DARS ISHLANMALARINING AHAMIYATI
DOI: 10.5281/zenodo.10184645
title: TEXNOLOGIYA DARSLARINING SIFATINI OSHIRISH, O'QUVCHILAR TEXNIK IJODKORLIGINI RIVOJLANTIRISHDA DARS ISHLANMALARINING AHAMIYATI
DOI: 10.5281/zenodo.8208715
title: Svalbox-DOM_2023-0003

description: Model description: 
Digital outcrop model of Wagnerfjella, in eastern Elnabreen, Andrée Land, Svalbard archipelago.

Data availability:
All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.0.1.15925).
Georeferencing data use CRS epsg:4326.Exported model data use CRS epsg:32633.

Show and visualise on Svalbox.no:
Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.

For more information, contact the Svalbox team at svalbox[at]gmail.com.
DOI: 10.5281/zenodo.8208716
title: Svalbox-DOM_2023-0003

description: Model description: 
Digital outcrop model of Wagnerfjella, in eastern Elnabreen, Andrée Land, Svalbard archipelago.

Data availability:
All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.0.1.15925).
Georeferencing data use CRS epsg:4326.Exported model data use CRS epsg:32633.

Show and visualise on Svalbox.no:
Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.

For more information, contact the Svalbox team at svalbox[at]gmail.com.
DOI: 10.5281/zenodo.8215983
title: Svalbox-DOM_2023-0022

description: Model description: Digital outcrop model of Peak 1086, in western Elnabreen, Andrée Land, Svalbard archipelago.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.0.2.16334).Georeferencing data use CRS epsg:4326.Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. (2023). The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere. https://doi.org/10.1130/GES02606.1
DOI: 10.5281/zenodo.8215984
title: Svalbox-DOM_2023-0022

description: Model description: Digital outcrop model of Peak 1086, in western Elnabreen, Andrée Land, Svalbard archipelago.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.0.2.16334).Georeferencing data use CRS epsg:4326.Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. (2023). The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere. https://doi.org/10.1130/GES02606.1
DOI: 10.5281/zenodo.10184482
title: Discrete Dataset - A dataset for computing with operators defined on a finite chain

description: Discrete Dataset is a collection of the main operators defined on the finite chain L_n={0,1,...,n} up to n=11. These operators have been computationally generated, with the aim of being used to study properties of the operators. The easiest way to use these operators is with the Python package "DiscreteFuzzyOperators", published at https://zenodo.org/doi/10.5281/zenodo.5031268. It currently contains the following operators:

For n=1,2,3,4, it contains:

Discrete aggregation functions.
Smooth discrete aggregation functions.
Smooth and commutative discrete aggregation functions.
Discrete conjunctions.
Discrete disjunctions.
Discrete t-norms.
Discrete t-conorms.
Discrete uninorms.
Discrete negations.
For n=5,6, it contains:

Smooth and commutative discrete aggregation functions.
Discrete conjunctions.
Discrete disjunctions.
Discrete t-norms.
Discrete t-conorms.
Discrete uninorms.
Discrete negations.
For n=7,8, it contains:

Discrete t-norms.
Discrete t-conorms.
Discrete uninorms.
Discrete negations.
For n=9,10,11, it contains:

Discrete t-norms.
Discrete t-conorms.
Discrete negations.
DOI: 10.5281/zenodo.10184481
title: Discrete Dataset - A dataset for computing with operators defined on a finite chain

description: Discrete Dataset is a collection of the main operators defined on the finite chain L_n={0,1,...,n} up to n=11. These operators have been computationally generated, with the aim of being used to study properties of the operators. The easiest way to use these operators is with the Python package "DiscreteFuzzyOperators", published at https://zenodo.org/doi/10.5281/zenodo.5031268. It currently contains the following operators:

For n=1,2,3,4, it contains:

Discrete aggregation functions.
Smooth discrete aggregation functions.
Smooth and commutative discrete aggregation functions.
Discrete conjunctions.
Discrete disjunctions.
Discrete t-norms.
Discrete t-conorms.
Discrete uninorms.
Discrete negations.
For n=5,6, it contains:

Smooth and commutative discrete aggregation functions.
Discrete conjunctions.
Discrete disjunctions.
Discrete t-norms.
Discrete t-conorms.
Discrete uninorms.
Discrete negations.
For n=7,8, it contains:

Discrete t-norms.
Discrete t-conorms.
Discrete uninorms.
Discrete negations.
For n=9,10,11, it contains:

Discrete t-norms.
Discrete t-conorms.
Discrete negations.
DOI: 10.15151/esrf-dc-1415066270
title: Demo for the Eikonal Phase Retrieval Algorithm

description: This demo consists in experimental data, instruction to install the code, scripts and configuration files to perform a reconstruction from raw data using the EPR algorithm
DOI: 10.5281/zenodo.10184712
title: INTELLECTUAL FORMATION OF VERBAL ASSOCIATIONS IN CHILDREN WITH APHOTIC DISORDERS
DOI: 10.5281/zenodo.10184711
title: INTELLECTUAL FORMATION OF VERBAL ASSOCIATIONS IN CHILDREN WITH APHOTIC DISORDERS
DOI: 10.18712/nsd-nsd2576-v7
title: Norwegian Citizen Panel Round 11, 2018

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 11, 2018 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.18712/nsd-nsd2605-v6
title: Norwegian Citizen Panel Round 12, 2018

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 12, 2018 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.18712/nsd-nsd2664-v6
title: Norwegian Citizen Panel Round 13, 2018

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 13, 2018 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.5281/zenodo.8133994
title: Characterising neutrophil subtypes in cancer using human and murine single-cell RNA sequencing datasets

description: Single cell RNA sequencing data generated by 10xGenomics for Neutrophils derived from colorectal cancer (CRC) KPN tumours (CRC_KPN_counts.csv) and normalised counts (CRC_KPN_NormalisedCounts.csv) as well as from other mouse models of CRC carrying AKPT, BPN, BP and KP mutations (CRC_other_counts.csv and CRC_other_NormalisedCounts.csv), together with the relevant metadata (CRC_KPN_metadata.csv and CRC_other_metadata.csv).
DOI: 10.5281/zenodo.8133995
title: Characterising neutrophil subtypes in cancer using human and murine single-cell RNA sequencing datasets

description: Single cell RNA sequencing data generated by 10xGenomics for Neutrophils derived from colorectal cancer (CRC) KPN tumours (CRC_KPN_counts.csv) and normalised counts (CRC_KPN_NormalisedCounts.csv) as well as from other mouse models of CRC carrying AKPT, BPN, BP and KP mutations (CRC_other_counts.csv and CRC_other_NormalisedCounts.csv), together with the relevant metadata (CRC_KPN_metadata.csv and CRC_other_metadata.csv).
DOI: 10.15151/esrf-dc-1415078588
title: demo movies showing results obtained with the Eikonal Phase Retrieval algorithm in the preprocessing phase of a HiP-CT recontruction

description: These movies explorates a 3D reconstructed sheep head
DOI: 10.5523/bris.29u28g52tbulu2w9h0j5ewt1j1
title: Image analysis of apoptopic hallmarks

description: The macros provided are designed to analyse the progression of apoptosis. "nuclei analysis_NAF calculation_single stack" focuses on providing nuclei area measurements and calculating the nuclear area factor (NAF). This is to be performed on single stack images. "Caspase 9_NAF activity analysis", in addition to calculating the NAF, caspase 9 activity is also quantified. This macro is to be performed on Z-stack images. These macros were designed and tested upon Chinese hamster ovary (CHO)-K1 cells undergoing apoptosis via exposure to 1 µM of staurosporine. Both macros are compatible with ImageJ.