cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10418993
title: Sound-Frameworks: Maria-Chiara Piccinelli (David Chipperfield Architects) - Survey Interview

description: This is a transcription of a survey interview that took place within the project Sound-Frameworks: Collaborative Frameworks for Integrating Sound Within Urban Design and Planning Processes.

Sound-Frameworks is an action-led research project that explores the role of sound in urban design and city planning. The project is led by the artist and researcher Dr. Sven Anderson and hosted by Theatrum Mundi, a non-profit organisation that expands the craft of city-making through collaboration with artists.

Central to this project is a focus on how urban sonic experience can serve as a driver for design in the public realm. The public realm constitutes the integral connective tissue that defines the contemporary cityscape, within which different individuals, communities and institutions engage with each other through cooperation and conflict. Sound has remained a neglected dimension of this domain, generally coming into consideration only within late stages of design through efforts to ameliorate the impact of environmental noise. As the densification of urban territories accelerates, the role of sonic experience as an essential factor to be addressed by urban designers must be reassessed.

Sound-Frameworks explores new methodologies for integrating sound in urban design through the production of three inter-related resources:

1. A sound in practice survey2. A publication on best practice guidelines in this field3. An online tool to guide the integration of sound in the design of the public realm

Drawing from environmental acoustics, spatial planning, contemporary sound studies, the project initiates a framework to extend regional, national and international objectives for integrated city planning and contribute to public realm initiatives in Europe and beyond.

Sound-Frameworks has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101032632.

Sound-Frameworks is hosted by Theatrum Mundi (UK) and supported by partnerships with Arup (UK), UrbanIdentity (CH), Struer Kommune (DK), the University of Oxford Faculty of Music (UK) and the Sound Studies Lab at the University of Copenhagen (DK). 

Sound-Frameworks: https://www.soundframeworks.orgTheatrum Mundi: https://www.theatrum-mundi.orgSven Anderson: https://www.svenanderson.net
DOI: 10.5281/zenodo.15564865
title: REDUCING THE MENTAL STRAIN OF SIMULTANEOUS INTERPRETING PROCESS
DOI: 10.5281/zenodo.15564866
title: REDUCING THE MENTAL STRAIN OF SIMULTANEOUS INTERPRETING PROCESS
DOI: 10.15468/dl.k8asey
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Talismania antillarum (Goode & Bean, 1896)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.2593 -20.2058,35.9648 -19.5556,35.9648 -16.1504,26.9648 -16.1504,26.9648 -25.1504,35.1352 -25.1504,35.2524 -25.1064,35.8302 -24.5319,35.9648 -24.1383,35.9648 -21.4413,35.6073 -21.0389,35.2593 -20.2058))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012046-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.10418973
title: Sound-Frameworks: Andres Bosshard - Survey Interview

description: This is a transcription of a survey interview that took place within the project Sound-Frameworks: Collaborative Frameworks for Integrating Sound Within Urban Design and Planning Processes.

Sound-Frameworks is an action-led research project that explores the role of sound in urban design and city planning. The project is led by the artist and researcher Dr. Sven Anderson and hosted by Theatrum Mundi, a non-profit organisation that expands the craft of city-making through collaboration with artists.

Central to this project is a focus on how urban sonic experience can serve as a driver for design in the public realm. The public realm constitutes the integral connective tissue that defines the contemporary cityscape, within which different individuals, communities and institutions engage with each other through cooperation and conflict. Sound has remained a neglected dimension of this domain, generally coming into consideration only within late stages of design through efforts to ameliorate the impact of environmental noise. As the densification of urban territories accelerates, the role of sonic experience as an essential factor to be addressed by urban designers must be reassessed.

Sound-Frameworks explores new methodologies for integrating sound in urban design through the production of three inter-related resources:

1. A sound in practice survey2. A publication on best practice guidelines in this field3. An online tool to guide the integration of sound in the design of the public realm

Drawing from environmental acoustics, spatial planning, contemporary sound studies, the project initiates a framework to extend regional, national and international objectives for integrated city planning and contribute to public realm initiatives in Europe and beyond.

Sound-Frameworks has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101032632.

Sound-Frameworks is hosted by Theatrum Mundi (UK) and supported by partnerships with Arup (UK), UrbanIdentity (CH), Struer Kommune (DK), the University of Oxford Faculty of Music (UK) and the Sound Studies Lab at the University of Copenhagen (DK). 

Sound-Frameworks: https://www.soundframeworks.orgTheatrum Mundi: https://www.theatrum-mundi.orgSven Anderson: https://www.svenanderson.net
DOI: 10.5281/zenodo.10514668
title: EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research

description: EA-MD-QD is a collection of large monthly and quarterly EA and EA member countries datasets for macroeconomic analysis.The EA member countries covered are: AT, BE, DE, EL, ES, FR, IE, IT, NL, PT.

The formal reference to this dataset is: 

Barigozzi, M. and Lissona, C. (2024) "EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research". Zenodo.

Please refer to it when using the data.

Each zip file contains:- Excel files for the EA and the countries covered, each containing an unbalanced panel of raw de-seasonalized data.- A Matlab code taking as input the raw data and allowing to perform various operations such as:choose the frequency, fill-in missing values, transform data to stationarity, and control for covid outliers.- A pdf file with all informations about the series names, sources, and transformation codes.
DOI: 10.5281/zenodo.10553401
title: EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research

description: EA-MD-QD is a collection of large monthly and quarterly EA and EA member countries datasets for macroeconomic analysis.The EA member countries covered are: AT, BE, DE, EL, ES, FR, IE, IT, NL, PT.

The formal reference to this dataset is: 

Barigozzi, M. and Lissona, C. (2024) "EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research". Zenodo.doi: 10.5281/zenodo.10514668.

Please refer to it when using the data.

Each zip file contains:- Excel files for the EA and the countries covered, each containing an unbalanced panel of raw de-seasonalized data.- A Matlab code taking as input the raw data and allowing to perform various operations such as:choose the frequency, fill-in missing values, transform data to stationarity, and control for covid outliers.- A pdf file with all informations about the series names, sources, and transformation codes.

This version (12-2023.v2):

Slight debugging of Matlab code.
DOI: 10.5281/zenodo.10579314
title: EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research

description: EA-MD-QD is a collection of large monthly and quarterly EA and EA member countries datasets for macroeconomic analysis.The EA member countries covered are: AT, BE, DE, EL, ES, FR, IE, IT, NL, PT.

The formal reference to this dataset is: 

Barigozzi, M. and Lissona, C. (2024) "EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research". Zenodo.doi: 10.5281/zenodo.10514668.

Please refer to it when using the data.

Each zip file contains:- Excel files for the EA and the countries covered, each containing an unbalanced panel of raw de-seasonalized data.- A Matlab code taking as input the raw data and allowing to perform various operations such as:choose the frequency, fill-in missing values, transform data to stationarity, and control for covid outliers.- A pdf file with all informations about the series names, sources, and transformation codes.

This version (01-2024):

Updated data as of 29-Jan-2024
DOI: 10.5281/zenodo.10706766
title: EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research

description: EA-MD-QD is a collection of large monthly and quarterly EA and EA member countries datasets for macroeconomic analysis.The EA member countries covered are: AT, BE, DE, EL, ES, FR, IE, IT, NL, PT.

The formal reference to this dataset is: 

Barigozzi, M. and Lissona, C. (2024) "EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research". Zenodo.

Please refer to it when using the data.

Each zip file contains:- Excel files for the EA and the countries covered, each containing an unbalanced panel of raw de-seasonalized data.- A Matlab code taking as input the raw data and allowing to perform various operations such as:choose the frequency, fill-in missing values, transform data to stationarity, and control for covid outliers.- A pdf file with all informations about the series names, sources, and transformation codes.

This version (02-2024):

Updated data as of 26-Feb-2024Debugging of Matlab Code
DOI: 10.5281/zenodo.10886937
title: EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research

description: EA-MD-QD is a collection of large monthly and quarterly EA and EA member countries datasets for macroeconomic analysis.The EA member countries covered are: AT, BE, DE, EL, ES, FR, IE, IT, NL, PT.

The formal reference to this dataset is: 

Barigozzi, M. and Lissona, C. (2024) "EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research". Zenodo.

Please refer to it when using the data.

Each zip file contains:- Excel files for the EA and the countries covered, each containing an unbalanced panel of raw de-seasonalized data.- A Matlab code taking as input the raw data and allowing to perform various operations such as:choose the frequency, fill-in missing values, transform data to stationarity, and control for covid outliers.- A pdf file with all informations about the series names, sources, and transformation codes.

This version (03.2024):

Updated data as of 27-Mar-2024Debugging of Matlab CodeMinor changes in transformation codes (unemployment)
DOI: 10.5281/zenodo.11093292
title: EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research

description: EA-MD-QD is a collection of large monthly and quarterly EA and EA member countries datasets for macroeconomic analysis.The EA member countries covered are: AT, BE, DE, EL, ES, FR, IE, IT, NL, PT.

The formal reference to this dataset is: 

Barigozzi, M. and Lissona, C. (2024) "EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research". Zenodo.

Please refer to it when using the data.

Each zip file contains:- Excel files for the EA and the countries covered, each containing an unbalanced panel of raw de-seasonalized data.- A Matlab code taking as input the raw data and allowing to perform various operations such as:choose the frequency, fill-in missing values, transform data to stationarity, and control for covid outliers.- A pdf file with all informations about the series names, sources, and transformation codes.

This version (04.2024):

Updated data as of 30-Apr-2024Changed index in Production Prices and Industrial Production&Turnover  (from 2015=100 to 2021=100).
DOI: 10.5281/zenodo.11395533
title: EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research

description: EA-MD-QD is a collection of large monthly and quarterly EA and EA member countries datasets for macroeconomic analysis.The EA member countries covered are: AT, BE, DE, EL, ES, FR, IE, IT, NL, PT.

The formal reference to this dataset is: 

Barigozzi, M. and Lissona, C. (2024) "EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research". Zenodo.

Please refer to it when using the data.

Each zip file contains:- Excel files for the EA and the countries covered, each containing an unbalanced panel of raw de-seasonalized data.- A Matlab code taking as input the raw data and allowing to perform various operations such as:choose the frequency, fill-in missing values, transform data to stationarity, and control for covid outliers.- A pdf file with all informations about the series names, sources, and transformation codes.

This version (05.2024):

Updated data as of 30-May-2024
DOI: 10.5281/zenodo.12594059
title: EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research

description: EA-MD-QD is a collection of large monthly and quarterly EA and EA member countries datasets for macroeconomic analysis.The EA member countries covered are: AT, BE, DE, EL, ES, FR, IE, IT, NL, PT.

The formal reference to this dataset is: 

Barigozzi, M. and Lissona, C. (2024) "EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research". Zenodo.

Please refer to it when using the data.

Each zip file contains:- Excel files for the EA and the countries covered, each containing an unbalanced panel of raw de-seasonalized data.- A Matlab code taking as input the raw data and allowing to perform various operations such as:choose the frequency, fill-in missing values, transform data to stationarity, and control for covid outliers.- A pdf file with all informations about the series names, sources, and transformation codes.

This version (06.2024):

Updated data as of 29-June-2024

Note: OECD website is migrating their data to a new website. The migration process is still in progress, and some series (among which share prices, code: SHIX) have not been updated yet. The update of these series for the last three months will be available shortly, as the migration process is complete.
DOI: 10.5281/zenodo.13134149
title: EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research

description: EA-MD-QD is a collection of large monthly and quarterly EA and EA member countries datasets for macroeconomic analysis.The EA member countries covered are: AT, BE, DE, EL, ES, FR, IE, IT, NL, PT.

The formal reference to this dataset is: 

Barigozzi, M. and Lissona, C. (2024) "EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research". Zenodo.

Please refer to it when using the data.

Each zip file contains:- Excel files for the EA and the countries covered, each containing an unbalanced panel of raw de-seasonalized data.- A Matlab code taking as input the raw data and allowing to perform various operations such as:choose the frequency, fill-in missing values, transform data to stationarity, and control for covid outliers.- A pdf file with all informations about the series names, sources, and transformation codes.

This version (07.2024):

Updated data as of 30-July-2024
DOI: 10.5281/zenodo.13461013
title: EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research

description: EA-MD-QD is a collection of large monthly and quarterly EA and EA member countries datasets for macroeconomic analysis.The EA member countries covered are: AT, BE, DE, EL, ES, FR, IE, IT, NL, PT.

The formal reference to this dataset is: 

Barigozzi, M. and Lissona, C. (2024) "EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research". Zenodo.

Please refer to it when using the data.

Each zip file contains:- Excel files for the EA and the countries covered, each containing an unbalanced panel of raw de-seasonalized data.- A Matlab code taking as input the raw data and allowing to perform various operations such as:choose the frequency, fill-in missing values, transform data to stationarity, and control for covid outliers.- A pdf file with all informations about the series names, sources, and transformation codes.

This version (08.2024):

Updated data as of 29-August-2024
DOI: 10.5281/zenodo.13852075
title: EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research

description: EA-MD-QD is a collection of large monthly and quarterly EA and EA member countries datasets for macroeconomic analysis.The EA member countries covered are: AT, BE, DE, EL, ES, FR, IE, IT, NL, PT.

The formal reference to this dataset is: 

Barigozzi, M. and Lissona, C. (2024) "EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research". Zenodo.

Please refer to it when using the data.

Each zip file contains:- Excel files for the EA and the countries covered, each containing an unbalanced panel of raw de-seasonalized data.- A Matlab code taking as input the raw data and allowing to perform various operations such as:choose the frequency, fill-in missing values, transform data to stationarity, and control for covid outliers.- A pdf file with all informations about the series names, sources, and transformation codes.

This version (09.2024):

Updated data as of 27-September-2024
DOI: 10.5281/zenodo.14018642
title: EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research

description: EA-MD-QD is a collection of large monthly and quarterly EA and EA member countries datasets for macroeconomic analysis.The EA member countries covered are: AT, BE, DE, EL, ES, FR, IE, IT, NL, PT.

The formal reference to this dataset is: 

Barigozzi, M. and Lissona, C. (2024) "EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research". Zenodo.

Please refer to it when using the data.

Each zip file contains:- Excel files for the EA and the countries covered, each containing an unbalanced panel of raw de-seasonalized data.- A Matlab code taking as input the raw data and allowing to perform various operations such as:choose the frequency, fill-in missing values, transform data to stationarity, and control for covid outliers.- A pdf file with all informations about the series names, sources, and transformation codes.

This version (10.2024):

Updated data as of 31-October-2024Minor changes to the matlab code!!! Turnover indices for PT are not de-seasonalized at the source at the moment. Hence, in this release we download them not seasonalized and we de-seasonalize them ex post.
DOI: 10.5281/zenodo.14245656
title: EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research

description: EA-MD-QD is a collection of large monthly and quarterly EA and EA member countries datasets for macroeconomic analysis.The EA member countries covered are: AT, BE, DE, EL, ES, FR, IE, IT, NL, PT.

The formal reference to this dataset is: 

Barigozzi, M. and Lissona, C. (2024) "EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research". Zenodo.

Please refer to it when using the data.

Each zip file contains:- Excel files for the EA and the countries covered, each containing an unbalanced panel of raw de-seasonalized data.- A Matlab code taking as input the raw data and allowing to perform various operations such as:choose the frequency, fill-in missing values, transform data to stationarity, and control for covid outliers.- A pdf file with all informations about the series names, sources, and transformation codes.

This version (11.2024):

Updated data as of 29-November-2024
DOI: 10.5281/zenodo.14565823
title: EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research

description: EA-MD-QD is a collection of large monthly and quarterly EA and EA member countries datasets for macroeconomic analysis.The EA member countries covered are: AT, BE, DE, EL, ES, FR, IE, IT, NL, PT.

The formal reference to this dataset is: 

Barigozzi, M. and Lissona, C. (2024) "EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research". Zenodo.

Please refer to it when using the data.

Each zip file contains:- Excel files for the EA and the countries covered, each containing an unbalanced panel of raw de-seasonalized data.- A Matlab code taking as input the raw data and allowing to perform various operations such as:choose the frequency, fill-in missing values, transform data to stationarity, and control for covid outliers.- A pdf file with all informations about the series names, sources, and transformation codes.

This version (12.2024):

Updated data as of 28-December-2024
DOI: 10.5281/zenodo.14778370
title: EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research

description: EA-MD-QD is a collection of large monthly and quarterly EA and EA member countries datasets for macroeconomic analysis.The EA member countries covered are: AT, BE, DE, EL, ES, FR, IE, IT, NL, PT.

The formal reference to this dataset is: 

Barigozzi, M. and Lissona, C. (2024) "EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research". Zenodo.

Please refer to it when using the data.

Each zip file contains:- Excel files for the EA and the countries covered, each containing an unbalanced panel of raw de-seasonalized data.- A Matlab code taking as input the raw data and allowing to perform various operations such as:choose the frequency, fill-in missing values, transform data to stationarity, and control for covid outliers.- A pdf file with all informations about the series names, sources, and transformation codes.

This version (01.2025):

Updated data as of 30-January-2025
DOI: 10.5281/zenodo.14938961
title: EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research

description: EA-MD-QD is a collection of large monthly and quarterly EA and EA member countries datasets for macroeconomic analysis.The EA member countries covered are: AT, BE, DE, EL, ES, FR, IE, IT, NL, PT.

The formal reference to this dataset is: 

Barigozzi, M. and Lissona, C. (2024) "EA-MD-QD: Large Euro Area and Euro Member Countries Datasets for Macroeconomic Research". Zenodo.

Please refer to it when using the data.

Each zip file contains:- Excel files for the EA and the countries covered, each containing an unbalanced panel of raw de-seasonalized data.- A Matlab code taking as input the raw data and allowing to perform various operations such as:choose the frequency, fill-in missing values, transform data to stationarity, and control for covid outliers.- A pdf file with all informations about the series names, sources, and transformation codes.

This version (01.2025):

Updated data as of 27-February-2025