cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25397/eur.8152748.v4
title: Historical Data: International monthly government bond returns

description: Although the many central banks publish the yield-to-maturity of their Treasury bonds, the monthly returns earned by investors are typically not publicly available.<br>This data set calculates monthly returns for:United States (starting 1947)Germany (starting 1972)Japan (starting 1974)Australia (starting 1969)<br>Norway (starting 1921)Sweden (starting 1920)<br><br><br>
DOI: 10.25397/eur.8152748.v5
title: Historical Data: International monthly government bond returns

description: Although the many central banks publish the yield-to-maturity of their Treasury bonds, the monthly returns earned by investors are typically not publicly available.<br>This data set calculates monthly returns for:United States (starting 1947)Germany (starting 1972)Japan (starting 1974)Australia (starting 1969)<br>Norway (starting 1921)Sweden (starting 1920)<br><br><br>
DOI: 10.25397/eur.8152748.v6
title: Historical Data: International monthly government bond returns

description: Academics and research analysts in financial economics frequently use returns on government bonds for their empirical analyses. In the United States, government bonds are also called Treasury bonds. The Federal Reserve publishes the yield-to-maturity of Treasury bonds. However, the Treasury bond returns earned by investors are not publicly available. The purpose of this study is to provide these currently not publicly available return series and provide formulas such that these series can easily be updated by researchers. We use standard textbook formulas to convert the yield-to-maturity data to investor returns. The starting date of our series is January 1962, when end-of-month data on the yield-to-maturity become publicly available. We compare our newly created total return series with alternative series that can be purchased. Our return series are very close, suggesting that they are a high-quality public alternative to commercially available data. <br> This data set calculates monthly returns for: United States (starting 1947) Germany (starting 1972) Japan (starting 1974) Australia (starting 1969)<br> France (starting 1987) Canada (starting 1986) UK (starting 1970) Norway (starting 1921) Sweden (starting 1920)<br> <br> Data updated unitl December 2022. <br>
DOI: 10.6084/m9.figshare.27628029
title: Enriched Tourism Dataset London (POIs)

description: Please, cite the following publication:----R. Hermoso, S. Ilarri, R. Trillo-Lado, & C. Marzo (2017). Recommending Needles in a Haystack: The SURGE Approach. <i>International Journal of Geographical Information Systems, 2025</i>.---This dataset contains the London subset of the Tourpedia dataset, specifically focusing on points of interest (POIs) categorized as attractions (dataset available at http://tour-pedia.org/download/london-attraction.csv). The original dataset comprises 20,727 entries that encompass a variety of attractions across London, providing details on several attributes for each POI. These attributes include a unique identifier, POI name, category, location information (address), latitude, longitude, specific details, and user-generated reviews. The review fields contain textual feedback from users, aggregated from platforms such as Google Places, Foursquare, and Facebook, offering a qualitative insight into each location.However, due to the initial dataset's high proportion of incomplete or inconsistently structured entries, a rigorous cleaning process was implemented. This process entailed the removal of erroneous and incomplete data points, ultimately refining the dataset to 2,341 entries that meet criteria for quality and structural coherence. These selected entries were subjected to further validation to ensure data integrity, enabling a more accurate representation of London's attractions.- <b>London.csv</b>It contains columns including a unique identifier, POI name, category, location information (address), latitude, longitude, specific details, and user-generated reviews. Those reviews have been previously retrieved and pre-processed from Google Places, Foursquare, and Facebook, and have different formats: all words, only nouns, nouns + verbs, noun + adjectives and nouns + verbs + adjectives.<b>- London_annotated.csv</b>It contains the ground truth relating to the previous dataset, with manual annotations made by humans on the categorisation of each of the POIs into 12 different pre-defined categories.It has the following columns:* POI name* POI's address* One column for each of the above categories. 1 means that the POI belongs to the category while blank indicates that it does not.
DOI: 10.6084/m9.figshare.27628029.v1
title: Enriched Tourism Dataset London (POIs)

description: Please, cite the following publication:----R. Hermoso, S. Ilarri, R. Trillo-Lado, & C. Marzo (2017). Recommending Needles in a Haystack: The SURGE Approach. <i>International Journal of Geographical Information Systems, 2025</i>.---This dataset contains the London subset of the Tourpedia dataset, specifically focusing on points of interest (POIs) categorized as attractions (dataset available at http://tour-pedia.org/download/london-attraction.csv). The original dataset comprises 20,727 entries that encompass a variety of attractions across London, providing details on several attributes for each POI. These attributes include a unique identifier, POI name, category, location information (address), latitude, longitude, specific details, and user-generated reviews. The review fields contain textual feedback from users, aggregated from platforms such as Google Places, Foursquare, and Facebook, offering a qualitative insight into each location.However, due to the initial dataset's high proportion of incomplete or inconsistently structured entries, a rigorous cleaning process was implemented. This process entailed the removal of erroneous and incomplete data points, ultimately refining the dataset to 2,341 entries that meet criteria for quality and structural coherence. These selected entries were subjected to further validation to ensure data integrity, enabling a more accurate representation of London's attractions.- <b>London.csv</b>It contains columns including a unique identifier, POI name, category, location information (address), latitude, longitude, specific details, and user-generated reviews. Those reviews have been previously retrieved and pre-processed from Google Places, Foursquare, and Facebook, and have different formats: all words, only nouns, nouns + verbs, noun + adjectives and nouns + verbs + adjectives.<b>- London_annotated.csv</b>It contains the ground truth relating to the previous dataset, with manual annotations made by humans on the categorisation of each of the POIs into 12 different pre-defined categories.It has the following columns:* POI name* POI's address* One column for each of the above categories. 1 means that the POI belongs to the category while blank indicates that it does not.
DOI: 10.25397/eur.8279426
title: Warehouse Data NL & BE 2017/2012

description: Dataset containing warehouse performance characteristics from 2017 and 2012 for 131 warehouses from the Netherlands and Belgium.<br><br>This dataset was compiled in 2017 by Christian Kaps with the support of René de Koster from Erasmus University Rotterdam as well as the warehouse associations evofendex and TLN in an effort to gather real-life data for a research project on automation’s effect on warehouse efficiency. <br><br>The core variables per warehouse are 4 input measures (Floor space, SKUs, FTEs and Automation Level) and 4 output measures (Order Lines, Error Free %, Special Services and Flexibility). Each respondent was asked to provide data for the current operations (2017) and, based on records or recollection, data for 2012. In addition to these data, a few variables on value-chain position, ownership structure and industry were also collected per warehouse.<br>Through asking 1,827 warehouses managers in the Netherlands and Belgium to fill out an online survey (Warehouse_Data_NL_BE_2017_Questionnaire.pdf contains the printed version of the survey), 214 submissions were obtained of which 131 were complete and use-able (7.2%). These 131 respondents constitute this dataset.<br>Refer to "ReadMe" file for more information.<br><br>
DOI: 10.25397/eur.8279426.v1
title: Warehouse Data NL & BE 2017/2012

description: Dataset containing warehouse performance characteristics from 2017 and 2012 for 131 warehouses from the Netherlands and Belgium.<br><br>This dataset was compiled in 2017 by Christian Kaps with the support of René de Koster from Erasmus University Rotterdam as well as the warehouse associations evofendex and TLN in an effort to gather real-life data for a research project on automation’s effect on warehouse efficiency. <br><br>The core variables per warehouse are 4 input measures (Floor space, SKUs, FTEs and Automation Level) and 4 output measures (Order Lines, Error Free %, Special Services and Flexibility). Each respondent was asked to provide data for the current operations (2017) and, based on records or recollection, data for 2012. In addition to these data, a few variables on value-chain position, ownership structure and industry were also collected per warehouse.<br>Through asking 1,827 warehouses managers in the Netherlands and Belgium to fill out an online survey (Warehouse_Data_NL_BE_2017_Questionnaire.pdf contains the printed version of the survey), 214 submissions were obtained of which 131 were complete and use-able (7.2%). These 131 respondents constitute this dataset.<br>Refer to "ReadMe" file for more information.<br><br>
DOI: 10.25397/eur.8299454
title: Replication archive Peeters et al (2019) Global Strategy Journal

description: This set of files allows the replication of the baseline results and robustness checks for the paper "Manager Migration, Learning-by-hiring and Cultural Distance in International Soccer" by Peeters, Mills, Pennings and Song (Global Strategy Journal, 2019). Please consult the read me file for further instructions.<br>
DOI: 10.25397/eur.8299454.v1
title: Replication archive Peeters et al (2019) Global Strategy Journal

description: This set of files allows the replication of the baseline results and robustness checks for the paper "Manager Migration, Learning-by-hiring and Cultural Distance in International Soccer" by Peeters, Mills, Pennings and Song (Global Strategy Journal, 2019). Please consult the read me file for further instructions.<br>
DOI: 10.25397/eur.9371741
title: Data update: The Global Multi-Asset Market Portfolio, 1959–2012

description: This dataset contains the annually updated global multi-asset market portfolio of Doeswijk, Lam, and Swinkels (2014). The latest update contains data until 31 December 2023.The market portfolio contains important information for purposes of strategic asset allocation. One could consider it a natural benchmark for investors. The authors composed the invested global multi-asset market portfolio for 1990–2012 by estimating the market capitalization for equities, private equity, real estate, high-yield bonds, emerging-market debt, investment-grade credits, government bonds, and inflation-linked bonds. They also used an expanded period (1959–2012) for the main asset categories: equities, real estate, nongovernment bonds, and government bonds.<br>
DOI: 10.25397/eur.9371741.v1
title: Data update: The Global Multi-Asset Market Portfolio, 1959–2012

description: This data set contains the annually updated global multi-asset market portfolio of Doeswijk, Lam, and Swinkels (2014).<br>
DOI: 10.25397/eur.9371741.v3
title: Data update: The Global Multi-Asset Market Portfolio, 1959–2012

description: This dataset contains the annually updated global multi-asset market portfolio of Doeswijk, Lam, and Swinkels (2014). The latest update contains data until 31 December 2020.<br>
DOI: 10.5517/ccdc.csd.cc1n2g5c
title: CCDC 1521702: Experimental Crystal Structure Determination

description: Related Article: Yun-chen Ge, Lei Mei, Zhen-ni Xie, Kong-qiu Hu, Chuan-qin Xia, Xiao-lin Wang, Zhi-fang Chai, and Wei-qun Shi|2017|Chem.-Eur.J.|23|8380|doi:10.1002/chem.201701706
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.cc1ntyzd
title: CCDC 1544295: Experimental Crystal Structure Determination

description: Related Article: Yanpeng Zhang, Tao Mei, Dawei Yang, Yixin Zhang, Baomin Wang, Jingping Qu|2017|Dalton Trans.|46|15888|doi:10.1039/C7DT03353B
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.cc1ntz0g
title: CCDC 1544296: Experimental Crystal Structure Determination

description: Related Article: Yanpeng Zhang, Tao Mei, Dawei Yang, Yixin Zhang, Baomin Wang, Jingping Qu|2017|Dalton Trans.|46|15888|doi:10.1039/C7DT03353B
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.cc1ntz1h
title: CCDC 1544297: Experimental Crystal Structure Determination

description: Related Article: Ruixing Liu, Qiang Wang, Yin Wei, Min Shi|2018|Chem.Commun.|54|1225|doi:10.1039/C7CC09250D
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: 10.25397/eur.9371741.v4
title: Data update: The Global Multi-Asset Market Portfolio, 1959–2012

description: This dataset contains the annually updated global multi-asset market portfolio of Doeswijk, Lam, and Swinkels (2014). The latest update contains data until 31 December 2021.<br>
DOI: 10.5517/ccdc.csd.cc1ntz3k
title: CCDC 1544299: Experimental Crystal Structure Determination

description: Related Article: Nemanja Ðordevic, Rakesh Ganguly, Milena Petkovic, Dragoslav Vidovic|2017|Inorg.Chem.|56|14671|doi:10.1021/acs.inorgchem.7b02579
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.cc1ntz4l
title: CCDC 1544300: Experimental Crystal Structure Determination

description: Related Article: Nemanja Ðordevic, Rakesh Ganguly, Milena Petkovic, Dragoslav Vidovic|2017|Inorg.Chem.|56|14671|doi:10.1021/acs.inorgchem.7b02579
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.cc1ntz5m
title: CCDC 1544301: Experimental Crystal Structure Determination

description: Related Article: Nemanja Ðordevic, Rakesh Ganguly, Milena Petkovic, Dragoslav Vidovic|2017|Inorg.Chem.|56|14671|doi:10.1021/acs.inorgchem.7b02579
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: 10.25397/eur.9371741.v5
title: Data update: The Global Multi-Asset Market Portfolio, 1959–2012

description: This dataset contains the annually updated global multi-asset market portfolio of Doeswijk, Lam, and Swinkels (2014). The latest update contains data until 31 December 2022.
The market portfolio contains important information for purposes of strategic asset allocation. One could consider it a natural benchmark for investors. The authors composed the invested global multi-asset market portfolio for 1990–2012 by estimating the market capitalization for equities, private equity, real estate, high-yield bonds, emerging-market debt, investment-grade credits, government bonds, and inflation-linked bonds. They also used an expanded period (1959–2012) for the main asset categories: equities, real estate, nongovernment bonds, and government bonds.<br>
DOI: 10.34740/kaggle/dsv/13479729
title: Zara Sales for EDA 🛍️
DOI: 10.5517/ccdc.csd.cc1ntz6n
title: CCDC 1544302: Experimental Crystal Structure Determination

description: Related Article: Nemanja Ðordevic, Rakesh Ganguly, Milena Petkovic, Dragoslav Vidovic|2017|Inorg.Chem.|56|14671|doi:10.1021/acs.inorgchem.7b02579
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.cc1ntz7p
title: CCDC 1544303: Experimental Crystal Structure Determination

description: Related Article: Nemanja Ðordevic, Rakesh Ganguly, Milena Petkovic, Dragoslav Vidovic|2017|Inorg.Chem.|56|14671|doi:10.1021/acs.inorgchem.7b02579
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.cc1ntz8q
title: CCDC 1544304: Experimental Crystal Structure Determination

description: Related Article: Nemanja Ðordevic, Rakesh Ganguly, Milena Petkovic, Dragoslav Vidovic|2017|Inorg.Chem.|56|14671|doi:10.1021/acs.inorgchem.7b02579
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.cc1ntz9r
title: CCDC 1544305: Experimental Crystal Structure Determination

description: Related Article: Nemanja Ðordevic, Rakesh Ganguly, Milena Petkovic, Dragoslav Vidovic|2017|Inorg.Chem.|56|14671|doi:10.1021/acs.inorgchem.7b02579
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: 10.15468/dl.akq8dm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanaphis sorghi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054938-251009101135966/datasets/export for details.
DOI: 10.5517/ccdc.csd.cc1ntzbs
title: CCDC 1544306: Experimental Crystal Structure Determination

description: Related Article: Nemanja Ðordevic, Rakesh Ganguly, Milena Petkovic, Dragoslav Vidovic|2017|Inorg.Chem.|56|14671|doi:10.1021/acs.inorgchem.7b02579
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: 10.25397/eur.9371741.v6
title: Data update: The Global Multi-Asset Market Portfolio, 1959–2012

description: This dataset contains the annually updated global multi-asset market portfolio of Doeswijk, Lam, and Swinkels (2014). The latest update contains data until 31 December 2023.The market portfolio contains important information for purposes of strategic asset allocation. One could consider it a natural benchmark for investors. The authors composed the invested global multi-asset market portfolio for 1990–2012 by estimating the market capitalization for equities, private equity, real estate, high-yield bonds, emerging-market debt, investment-grade credits, government bonds, and inflation-linked bonds. They also used an expanded period (1959–2012) for the main asset categories: equities, real estate, nongovernment bonds, and government bonds.<br>
DOI: 10.5517/ccdc.csd.cc1ntzct
title: CCDC 1544307: Experimental Crystal Structure Determination

description: Related Article: Nemanja Ðordevic, Rakesh Ganguly, Milena Petkovic, Dragoslav Vidovic|2017|Inorg.Chem.|56|14671|doi:10.1021/acs.inorgchem.7b02579
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.cc1ntzdv
title: CCDC 1544308: Experimental Crystal Structure Determination

description: Related Article: Nemanja Ðordevic, Rakesh Ganguly, Milena Petkovic, Dragoslav Vidovic|2017|Inorg.Chem.|56|14671|doi:10.1021/acs.inorgchem.7b02579
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.cc1ntzfw
title: CCDC 1544309: Experimental Crystal Structure Determination

description: Related Article: Nemanja Ðordevic, Rakesh Ganguly, Milena Petkovic, Dragoslav Vidovic|2017|Inorg.Chem.|56|14671|doi:10.1021/acs.inorgchem.7b02579
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: 10.25397/eur.9419585
title: Data: Historical returns of the market portfolio

description: This data file contains the annual weights and returns of the global invested multi-asset market portfolio of Doeswijk, Lam, and Swinkels (2019) "Historical returns of the market portfolio" Review of Asset Pricing Studies