cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2636376
title: CREATIONS Pre-Study CPAC factor analysis

description: This are data of a pre-study in the frame work of the Horizon2020 EU Project CREATIONS. We searched for a valid way of empirically quantifying of creativity of adolescents.

The original 10-item Likert-scale questionnaire CPAC (Cognitive Processes associated with Creativity) was translated in 6 languages and administred in 8 countries to a sample of 2713 students, aged 11-19 (M± SD: 15.71 ± 2.24; 54.7% females). (For this public data set some data had to be removed from the original set for reasons of data prtection.)

The factor analysis revealed two subscales: one, labelled CPAC <em>Act</em>, covering conscious and trainable cognitive processes; the second, named CPAC <em>Flow</em>, contained items describing elements of flow experiences, a mental state of creativity. No gender differences were found.
DOI: 10.5281/zenodo.2636377
title: CREATIONS Pre-Study CPAC factor analysis

description: This are data of a pre-study in the frame work of the Horizon2020 EU Project CREATIONS. We searched for a valid way of empirically quantifying of creativity of adolescents.

The original 10-item Likert-scale questionnaire CPAC (Cognitive Processes associated with Creativity) was translated in 6 languages and administred in 8 countries to a sample of 2713 students, aged 11-19 (M± SD: 15.71 ± 2.24; 54.7% females). (For this public data set some data had to be removed from the original set for reasons of data prtection.)

The factor analysis revealed two subscales: one, labelled CPAC <em>Act</em>, covering conscious and trainable cognitive processes; the second, named CPAC <em>Flow</em>, contained items describing elements of flow experiences, a mental state of creativity. No gender differences were found.
DOI: 10.14455/isec.res.2019.4
title: A PREVENTIVE STRENGTHENING STRATEGY FOR AGED STEEL STRUCTURES

description: Steel columns are widely used in buildings, bridge piers, and railway platform roofs etc. With aging, those steel columns are vulnerable to corrosion and fatigue, and can deteriorate for a variety of reasons, especially in great earthquakes. In order to avoid the unrecoverable damage of existing steel columns, the high cost of the structure owners and the great impact on the public use, effective preventive maintenance methods on the aged steel piers are necessary. On this background, a strengthening method for aged steel columns by using new construction materials such as glass fiber reinforced polymer (GFRP) plates, rapid hardening concrete, rubber-latex mortar, and reinforcing bars, is introduced in this study. Depending on possible applied load directions and corrosion conditions, two specimens were used in the loading tests. Static loading tests were performed on steel columns with and without strengthening. Applied load and deflection relationship and strain distribution on original and strengthened columns were measured and compared. Moreover, three-dimensional FE models were built, and the numerical results were compared with the test results. Both experimental and numerical results indicate that the present strengthening method can significantly enhance both rigidity and ultimate load carrying capacity of aged steel columns
DOI: 10.14455/isec.res.2019.5
title: A PULL-DOWN DYNAMIC ANALYSIS OF TWO-SPAN STEEL FRAMES SUBJECTED TO PROGRESSIVE COLLAPSE

description: Progressive collapse, also known as disproportionate collapse, describes a chain reaction of structural element failures in which a primary structural element failure results in the failure of adjoining structural elements. It eventually causes widespread structural damages and a disproportionate collapse. While high level finite-element models incorporating non-linear dynamic analysis will produce more realistic results in progressive collapse scenarios, they are computationally time consuming. Therefore, the development of a non-linear time history pull-down model that is validated with experimental results would be beneficial for producing acceptable and efficient design solutions, particularly for practicing structural engineers. In this paper, a non-linear time history pull-down model of a two-span steel frame is analyzed in ETABS. The ETABS model results are compared with experimental results of two steel frames with two-spans conducted by the National Institute of Standards and Technology (NIST). The NIST experiments include beam-column assemblies from the second-floor framing system of a ten-story building and each span is 20 feet long. The numerical results from ETABS pull-down analysis showed good agreement with the results from the NIST experimental study.
DOI: 10.14455/isec.res.2019.6
title: A STRUT AND TIE MODEL FOR FRCM-STRENGTHENED REINFORCED CONCRETE DEEP BEAMS

description: Exiting literature revealed that fabric reinforced cementitious matrix (FRCM) is a promising material for the strengthening of shear deficient reinforced concrete (RC) beams. However, most of the available experimental studies are devoted to the use of FRCM system for the strengthening of slender beams and limited literature is available on the strengthening of deep beams using FRCM system. Moreover, there is no available literature on the analytical modelling of FRCM-strengthened deep beams. In this paper, a simple strut and tie model (STM) has been used to predict the ultimate load carrying capacity of RC deep beams strengthened in shear using FRCM system. The model accounts for the internal transverse reinforcement ratio and axial rigidity of the FRCM system. The proposed model is validated against an experimental results of RC deep beams strengthened with different types of FRCM system available in the literature.
DOI: 10.5517/ccdc.csd.cc219xhs
title: CCDC 1886365: Experimental Crystal Structure Determination

description: Related Article: Shaojin Chen, Wenxuan Zhang, Wei Liu, Zhaohai Ge, Kun-Peng Wang, Li-Hua Gan, Zhi-Qiang Hu|2019|CrystEngComm|21|2809|doi:10.1039/C9CE00170K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21dnbg
title: CCDC 1888995: Experimental Crystal Structure Determination

description: Related Article: Yujun Li, Qi Yang, Liquan Yang, Ning Lei, Ke Zheng|2019|Chem.Commun.|55|4981|doi:10.1039/C9CC01378D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21dnch
title: CCDC 1888996: Experimental Crystal Structure Determination

description: Related Article: Yujun Li, Qi Yang, Liquan Yang, Ning Lei, Ke Zheng|2019|Chem.Commun.|55|4981|doi:10.1039/C9CC01378D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21g8b4
title: CCDC 1890545: Experimental Crystal Structure Determination

description: Related Article: Yanjun Qiao, Yifan Lu, Weinan Chen, Yijing Chen, Martin Baumgarten, Gang Zhou|2019|Chem.Commun.|55|5107|doi:10.1039/C9CC01761E
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: 10.5519/qd.7j7onrj2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (206 records)
DOI: 10.5519/qd.k5y1hqf0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (27 records)
DOI: 10.14455/isec.res.2019.7
title: A STUDY OF ENDOWMENT EFFECT IN CONSTRUCTION PROJECT DISPUTE RESOLUTION

description: It has been reported that the average dispute value (the additional entitlement included in the contract to resolve disputes) was US $84 million and average length of dispute (the period between the time a dispute is formalized and it is settled) was 14.6 months in Asia in the year of 2016 (Arcadis Global Construction Dispute Report 2017). These figures are not impressive in terms of the non-productive use of valuable resources. Endowment effect (EE), which was firstly coined by 2017 Nobel laureate in economics science professor Richard Thaler, is a behavioral phenomenon that people attribute more value to the things they own. EE would derail making rational decisions. This study explores the application of EE on disputants' behavior in construction project dispute resolution (CPDR). In this regard, four sources of EE in CPDR were identified. These are i) ownership, ii) loss aversion, iii) status quo bias and iv) bargaining habit.
DOI: 10.5517/ccdc.csd.cc21g8c5
title: CCDC 1890546: Experimental Crystal Structure Determination

description: Related Article: Yanjun Qiao, Yifan Lu, Weinan Chen, Yijing Chen, Martin Baumgarten, Gang Zhou|2019|Chem.Commun.|55|5107|doi:10.1039/C9CC01761E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21hmqx
title: CCDC 1891859: Experimental Crystal Structure Determination

description: Related Article: Ruqaya Buhaibeh, Oleg A. Filippov, Antoine Bruneau-Voisine, Jérémy Willot, Carine Duhayon, Dmitry A. Valyaev, Noël Lugan, Yves Canac, Jean-Baptiste Sortais|2019|Angew.Chem.,Int.Ed.|58|6727|doi:10.1002/anie.201901169
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: 10.5519/qd.82nvtwap
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (15 records)
DOI: 10.5519/qd.xe6yc6a8
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (79 records)
DOI: 10.5281/zenodo.2636500
title: Supplementary material for research article "Quantifying the risk mitigation efficiency of changing silvicultural systems under storm risk throughout history"

description: This public repository contains mainly datasets generated and analyzed during the current study, closely linked to the research article "Quantifying the risk mitigation efficiency of changing silvicultural systems under storm risk throughout history". Furthermore, the repository contains additional figures and deep dives on the methodological background the research article was built on.
DOI: 10.5519/qd.1fl89hne
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (87 records)
DOI: 10.5519/qd.k6typrb7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7 records)
DOI: 10.5281/zenodo.2635438
title: Installing a EC Sensor on a remote location.

description: <strong>1.Introduction</strong>

The objective of this document is to provide a description of the dataset entitled “Installing an EC Sensor on a remote location”.

The guidelines on how to use the files are included in this document.

The dataset is part of the deliverables D9.4 (First data management plan) and D9.5 (Final data management plan).

<strong>2.Description of the data</strong>

<strong>2.1.Origin</strong>

This dataset includes data collected from the experiments related to the task “Installing a EC Sensor on a remote location” as part of the WP8 “validation in the industrial scenario”.

<strong>2.2.Type</strong>

The data consists of Eddy Current (EC) measurements.

<strong>2.3.Formats</strong>

The acquired data are available in several formats.

2.3.1.*.sidata files

These files are proprietary format that can be opened with the software “UPecView” supplied by Sensima Inspection (http://www.sensimainsp.com).<br>
This software provides an interface familiar to what expected by eddy-current inspectors.

Each file includes all the relevant information that may be used for analysis: the measurements and the instrument configuration (ex. Excitation frequency of the probe) is contained in this file.

2.3.2.*.csv files

The csv files contain an export of the measurements only (without instrument settings); a comma separator is used. Each row is composed of the following variables: Time (s), Signal (in-phase), Signal (out-of-phase), Channel/state, Extra signal (ADC), Encoder coordinate 1 (x), Encoder coordinate 2 (y), Encoder coordinate 3 (z), Encoder error status.

 

 

<strong>3.Measurements indexing</strong>

Folder

Filename

Creation date

Description

Target

Location

 

EXP001

0001A

12.03.2019

Calibration block scan

Calibration block

Seville, Spain

 

EXP001

0001B

12.03.2019

Manual reference scan on weld pipe

Calibration block

Seville, Spain

 

EXP001

0002A

12.03.2019

Drone overall scan inspection and sensor deployment

Cement kiln

Seville, Spain

 

EXP001

0002B

12.03.2019

Deployed sensor

Cement kiln

Seville, Spain

 

EXP001

0002C

12.03.2019

Deployed sensor

Cement kiln

Seville, Spain

 

EXP001

0002D

12.03.2019

Permanent sensor removal

Cement kiln

Seville, Spain
DOI: 10.5281/zenodo.2635439
title: Installing a EC Sensor on a remote location.

description: <strong>1.Introduction</strong>

The objective of this document is to provide a description of the dataset entitled “Installing an EC Sensor on a remote location”.

The guidelines on how to use the files are included in this document.

The dataset is part of the deliverables D9.4 (First data management plan) and D9.5 (Final data management plan).

<strong>2.Description of the data</strong>

<strong>2.1.Origin</strong>

This dataset includes data collected from the experiments related to the task “Installing a EC Sensor on a remote location” as part of the WP8 “validation in the industrial scenario”.

<strong>2.2.Type</strong>

The data consists of Eddy Current (EC) measurements.

<strong>2.3.Formats</strong>

The acquired data are available in several formats.

2.3.1.*.sidata files

These files are proprietary format that can be opened with the software “UPecView” supplied by Sensima Inspection (http://www.sensimainsp.com).<br>
This software provides an interface familiar to what expected by eddy-current inspectors.

Each file includes all the relevant information that may be used for analysis: the measurements and the instrument configuration (ex. Excitation frequency of the probe) is contained in this file.

2.3.2.*.csv files

The csv files contain an export of the measurements only (without instrument settings); a comma separator is used. Each row is composed of the following variables: Time (s), Signal (in-phase), Signal (out-of-phase), Channel/state, Extra signal (ADC), Encoder coordinate 1 (x), Encoder coordinate 2 (y), Encoder coordinate 3 (z), Encoder error status.

 

 

<strong>3.Measurements indexing</strong>

Folder

Filename

Creation date

Description

Target

Location

 

EXP001

0001A

12.03.2019

Calibration block scan

Calibration block

Seville, Spain

 

EXP001

0001B

12.03.2019

Manual reference scan on weld pipe

Calibration block

Seville, Spain

 

EXP001

0002A

12.03.2019

Drone overall scan inspection and sensor deployment

Cement kiln

Seville, Spain

 

EXP001

0002B

12.03.2019

Deployed sensor

Cement kiln

Seville, Spain

 

EXP001

0002C

12.03.2019

Deployed sensor

Cement kiln

Seville, Spain

 

EXP001

0002D

12.03.2019

Permanent sensor removal

Cement kiln

Seville, Spain
DOI: 10.5281/zenodo.2636547
title: 0.25 ms of asymmetric GM1:POPC/POPC (27:73/97) bilayer

description: Lollipop-like GM1. Eighth 25 microseconds of total 250 microseconds.
DOI: 10.5281/zenodo.2636665
title: AEROARMS - Image Dataset for the Crawler Indirect Detection through its Cage

description: Dataset containing images and ground-truth position of the crawler's cage used in the AEROARMS project experiments.
DOI: 10.5281/zenodo.2636666
title: AEROARMS - Image Dataset for the Crawler Indirect Detection through its Cage

description: Dataset containing images and ground-truth position of the crawler's cage used in the AEROARMS project experiments.
DOI: 10.5281/zenodo.2637733
title: Metabolic response of yellow mealworm larvae to two alternative rearing substrates

description: The quantitative one-dimensional <sup>1</sup>H NMR representative spectra of lipid and polar metabolites fractions of Tenebrio molitor larvae fed two alternative dietary substrates described in the manuscript draft entiteld:

<strong>Metabolic response of yellow mealworm larvae to two alternative rearing substrates</strong>
description: This work has been funded by Sardinia Regional Government by means of Sardegna Ricerche (art. 9 L.R. 20/05)
DOI: 10.5281/zenodo.2637734
title: Metabolic response of yellow mealworm larvae to two alternative rearing substrates

description: The quantitative one-dimensional <sup>1</sup>H NMR representative spectra of lipid and polar metabolites fractions of Tenebrio molitor larvae fed two alternative dietary substrates described in the manuscript draft entiteld:

<strong>Metabolic response of yellow mealworm larvae to two alternative rearing substrates</strong>
description: This work has been funded by Sardinia Regional Government by means of Sardegna Ricerche (art. 9 L.R. 20/05)
DOI: 10.6073/pasta/926e6270e324a1322a900da14d38b96c
title: Influences on charitable giving for conservation: Online survey data of 1,331 respondents across the US, August 2017

description: This dataset records survey data collected from an online panel of 1,331 anonymous, nationwide U.S respondents. Data collection was both initiated and completed in August 2017. Survey data is of two major types. The first type, information about respondents, includes (1) select background and demographic information; (2) a brief version of a social desirability scale, measured to test and control for potential bias related to socially desirable responding; and (3) a scale developed to measure moral inclusivity, conceptualized as the breadth of an individual’s moral community (i.e., to what extent do different types of entities “count,” in a moral sense). The second type of data records information about an experimental message manipulation featured in the survey. The dataset includes one variable indicating which of seven manipulated textual messages each respondent viewed, along with several variables used as metrics of response to the messages, including (1) attitudes toward the message; (2) hypothetical willingness to donate for the cause promoted in the message; (3) perceived moral salience of the message (i.e., the extent to which it was perceived as a matter of moral concern); (4) manipulation checks, to test whether the manipulated elements of the messages were perceived as intended, and (5) a donation set-up, in which individuals were given the option to donate between $0 and $5 for a conservation organization, from an incentive fee provided by the researchers.
DOI: 10.25612/837.a161x1e10kl3
title: Businesses Categorized as Manufacturing in the Houston-Galveston Area Council Region - 2018
title: Businesses categorized as Manufacturing - 2018

description: This dataset is an extract of the Infogroup Businesses 2018 dataset and contains entries that are categorized as part of the Manufacturing sector (NAICS codes starting with 31, 32, or 33) or Specialty Trade Contractors subsector (NAICS codes starting with 238) within the Houston-Galveston Area Council (13-county) region.
DOI: 10.25612/837.zjjryr4gpy4z
title: Businesses Categorized as Manufacturing in the Houston-Galveston Area Council Region - 2017
title: Businesses categorized as Manufacturing - 2017

description: This dataset is an extract of the Infogroup Businesses 2017 dataset and contains entries that are categorized as part of the Manufacturing sector (NAICS codes starting with 31, 32, or 33) or Specialty Trade Contractors subsector (NAICS codes starting with 238) within the Houston-Galveston Area Council (13-county) region.
DOI: 10.5281/zenodo.2636696
title: AEROARMS - Crawler Direct Detection Image Dataset

description: Dataset containing images and ground-truth position of the crawler used in the AEROARMS project experiments.
DOI: 10.5281/zenodo.2636697
title: AEROARMS - Crawler Direct Detection Image Dataset

description: Dataset containing images and ground-truth position of the crawler used in the AEROARMS project experiments.
DOI: 10.17632/fbkd8s46b6.1
title: Data for: Changes in fungal diversity and composition along a chronosequence of Eucalyptus grandis plantations in Ethiopia

description: The file contains two sheets, The first sheet contains the fungal community matrix, with species in rows and samples in columns. Data is expressed as read counts. The second sheet contains the environmental data, including soil chemistry data and stand age.
DOI: 10.5519/qd.ray7ory0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4838 records)
DOI: 10.17632/tszwrccr8g.1
title: Data for: A tale of two tails: Do Power Law and Lognormal models fit firm-size distributions in the Mid-Victorian era?

description: Frequency and size firm-size distributions for 1851-1881 (England and Wales Censuses)
DOI: 10.5281/zenodo.2637751
title: Supporting data for "Quantifying process connectivity with transfer entropy in hydrologic models" [Paper #2018WR024555]

description: This tarball contains the processed datasets used for the analysis of the process networks. It also contains the shapefiles used to define the domains of each sub-region.
DOI: 10.5281/zenodo.2637752
title: Supporting data for "Quantifying process connectivity with transfer entropy in hydrologic models" [Paper #2018WR024555]

description: This tarball contains the processed datasets used for the analysis of the process networks. It also contains the shapefiles used to define the domains of each sub-region.
DOI: 10.5281/zenodo.2638093
title: Upcycling a Plastic Cup: One-Pot Synthesis of Lactate Containing Metal Organic Frameworks from Polylactic Acid

description: Data supporting publication: <strong>Upcycling a plastic cup: one-pot synthesis of lactate containing metal organic frameworks from polylactic acid</strong>, Benjamin Slater, So-On Wong, Andrew Duckworth, Andrew J. P. White, Matthew R. Hill and Bradley P. Ladewig, Chen. Commun. (2019), DOI: 10.1039/c9cc02861g. 

Includes raw data for XRD spectra for all materials, CIF file and checkCIF file.

v2 includes additional high-resolution photos and diagrams supporting the publication
DOI: 10.5281/zenodo.2638094
title: Upcycling a Plastic Cup: One-Pot Synthesis of Lactate Containing Metal Organic Frameworks from Polylactic Acid

description: Data supporting publication under review. Includes raw data for XRD spectra for all materials, CIF file and checkCIF file.